LapSRN.ipynb

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  "metadata": {
    "colab": {
      "name": "LapSRN.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true,
      "machine_shape": "hm",
      "mount_file_id": "1j4B-nbd3DvqpYKv5FdD6pYIS8BgVH_aN",
      "authorship_tag": "ABX9TyN4V2WwpHQcT0UBl8Q5DU6q",
      "include_colab_link": true
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
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    "accelerator": "GPU"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/yuvalofek/Digital-Image-Processing/blob/main/LapSRN.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3XJMJiZs1Ng9"
      },
      "source": [
        "# Notebook implementation of LapSRN\n",
        "Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution\n",
        "\n",
        "Arxiv: https://arxiv.org/pdf/1704.03915\n",
        "\n",
        "Author Site: http://vllab.ucmerced.edu/wlai24/LapSRN/"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "myu6GBK13ZOx"
      },
      "source": [
        "## Dataset Setup"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tUZQ3a3x1JMV"
      },
      "source": [
        "# imports \n",
        "\n",
        "import zipfile as zp    #unzipping\n",
        "\n",
        "# dataset creation\n",
        "import os\n",
        "from PIL import Image\n",
        "import torch.utils.data as data\n",
        "import numpy.random as npr\n",
        "import numpy as np\n",
        "\n",
        "# pytorch for augmentation and model\n",
        "import torch \n",
        "import torchvision\n",
        "from torchvision.transforms import Compose, ToTensor, Resize, RandomHorizontalFlip, RandomCrop, Normalize\n",
        "\n",
        "# viz\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MBnbfMfH4aRM"
      },
      "source": [
        "### Getting the Dataset\n",
        "The authors of the paper provided their datasets as a downloadable zip file found at http://vllab.ucmerced.edu/wlai24/LapSRN/results/SR_training_datasets.zip\n",
        "\n",
        "In the following cells we get the zipped file and extract it locally. I note that !wget is a collab specific way to run wget (to import the file). "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aXCP4fG51obK",
        "outputId": "1794d56b-9819-4045-f9b6-d7c34fb2d103"
      },
      "source": [
        "# LapSRN dataset\n",
        "!wget http://vllab.ucmerced.edu/wlai24/LapSRN/results/SR_training_datasets.zip"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2021-04-29 17:45:57--  http://vllab.ucmerced.edu/wlai24/LapSRN/results/SR_training_datasets.zip\n",
            "Resolving vllab.ucmerced.edu (vllab.ucmerced.edu)... 169.236.184.69\n",
            "Connecting to vllab.ucmerced.edu (vllab.ucmerced.edu)|169.236.184.69|:80... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 90427393 (86M) [application/zip]\n",
            "Saving to: ‘SR_training_datasets.zip’\n",
            "\n",
            "SR_training_dataset 100%[===================>]  86.24M  18.8MB/s    in 9.7s    \n",
            "\n",
            "2021-04-29 17:46:07 (8.86 MB/s) - ‘SR_training_datasets.zip’ saved [90427393/90427393]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a99Q5kZc16_y"
      },
      "source": [
        "# extract the file:\n",
        "with zp.ZipFile('SR_training_datasets.zip') as myzip:\n",
        "    myzip.extractall()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cz1LtDHM4cfn"
      },
      "source": [
        "### Setting up the dataset\n",
        "The paper described three methods of data augmentation used, which are as follows: \n",
        "* scale by factors in [0.5, 1.0]\n",
        "* random rotation by 90 degree intervals\n",
        "* flip image left-right & up-down\n",
        "\n",
        "I note that for the dataset dataset I use, which has animals, up-down flips might not make sense. I perform up-down flips regardless, and do so through a composition of rotation, left-right flips, and additional rotations. \n",
        "\n",
        "I only use one of the provided datasets: BSDS200\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OIzORi2MAzqB"
      },
      "source": [
        "# parameters:\n",
        "desired_image_size = 64   # originally 128 \n",
        "dataset_path = '/content/BSDS200'\n",
        "TEST_PERCENT = 0.2\n",
        "NUM_TIMES = 8 # Number of times to sample each image\n",
        "s = 2"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LldzN3Li7Km1"
      },
      "source": [
        "# randomly rotate the image by a factor of 90 degrees. \n",
        "class RandomRotate:\n",
        "  def __call__(self, img):\n",
        "    return img.rotate(90 * npr.randint(0, 4))\n",
        "\n",
        "\n",
        "# Randomly zoom in on the image, keeping the output pixel count greater than \n",
        "# needed for cropping. \n",
        "class RandomScale:\n",
        "  def __call__(self, img):\n",
        "    shape = img.size\n",
        "    # we don't want to scale bellow the point where we can crop an input image\n",
        "    min_ratio = desired_image_size/min(shape)+0.1 # added a factor to guarrantee this will work\n",
        "    ratio = npr.uniform(max(min_ratio, 0.5), 1.0)\n",
        "    out_shape = (int(shape[0]*ratio), int(shape[1]*ratio))\n",
        "    resized =  img.resize(out_shape, Image.BICUBIC)\n",
        "    return resized"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NXvmYV7349MI"
      },
      "source": [
        "# augment input (scale, crop, and flips)\n",
        "def image_setup():\n",
        "  transform = Compose([\n",
        "                       RandomScale(),\n",
        "                       RandomCrop(desired_image_size), \n",
        "                       RandomRotate(),\n",
        "                       RandomHorizontalFlip(),\n",
        "                       RandomRotate(),\n",
        "  ])\n",
        "  return transform\n",
        "\n",
        "# downsample the image by a factor using bicubic interpolation\n",
        "def downsample(down_factor):\n",
        "  transform = Compose([\n",
        "                       Resize(desired_image_size//down_factor, Image.BICUBIC),  # integer division\n",
        "                       ToTensor()\n",
        "  ])\n",
        "  return transform\n",
        "\n",
        "\n",
        "class DataSetter(data.Dataset):\n",
        "  def __init__(self, file_names, s=3, image_sample_times=8):\n",
        "    super(DataSetter, self).__init__()\n",
        "    # list of file names\n",
        "    # originally we want to create 64 sub-images from each original image (I do less)\n",
        "    self.file_names = []\n",
        "    [self.file_names.extend(file_names) for _ in range(image_sample_times)]\n",
        "    # augmentation\n",
        "    self.image_setup = image_setup()\n",
        "    # downsampling\n",
        "    self.downsampling = [downsample(2**factor) for factor in range(1, s+1)]\n",
        "    self.to_tensor = ToTensor()\n",
        "\n",
        "  def __getitem__(self, index):\n",
        "    # get the image\n",
        "    img = Image.open(self.file_names[index]).convert('YCbCr')\n",
        "    # to grayscale\n",
        "    y, _, _ = img.split()\n",
        "    \n",
        "    # normalize image\n",
        "    y = Image.fromarray((y-np.mean(y))/np.std(y))\n",
        "\n",
        "    # augment\n",
        "    aug = self.image_setup(y)\n",
        "    \n",
        "    # downsample as many times as needed\n",
        "    downsamples = [self.to_tensor(aug)]\n",
        "    for down_factor in self.downsampling:\n",
        "      downsamples.append(down_factor(aug))\n",
        "\n",
        "    #return image and downsampled versions as a tuple\n",
        "    return tuple(downsamples)\n",
        "\n",
        "  def __len__(self):\n",
        "    return len(self.file_names)\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wQs0Sev76FIf",
        "outputId": "6c52f565-bf8b-462f-9c92-8b06f731c52a"
      },
      "source": [
        "# get all the file names for the files in the directory\n",
        "file_names = [os.path.join(dataset_path, x) for x in os.listdir(dataset_path)]\n",
        "# shuffle the inputs\n",
        "num_inputs = len(file_names)\n",
        "shuffle = npr.permutation(num_inputs)\n",
        "file_names = [file_names[i] for i in shuffle]\n",
        "\n",
        "# make the two datasets based on the earlier set parameters\n",
        "tr_ds = DataSetter(file_names[int(num_inputs*TEST_PERCENT):], s=s, image_sample_times=NUM_TIMES)\n",
        "val_ds = DataSetter(file_names[:int(num_inputs*TEST_PERCENT)], s=s,image_sample_times=NUM_TIMES)\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:258: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.\n",
            "  \"Argument interpolation should be of type InterpolationMode instead of int. \"\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AV9OrbDIFJ53"
      },
      "source": [
        "### Checks"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kzNjEoDK8PHx",
        "outputId": "70d4105c-0241-4e98-bd04-a55f37fd2d70"
      },
      "source": [
        "val = data.DataLoader(val_ds, batch_size=16, shuffle=True)\n",
        "\n",
        "# check that the images are the right sizes and that the length makes sense\n",
        "print('Sizes of images:')\n",
        "[print(i.size()) for i in next(iter(val))]\n",
        "print(f'Size of val set: {len(val)}')\n",
        "print(f'Size of training set: {len(tr_ds)}')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Sizes of images:\n",
            "torch.Size([16, 1, 64, 64])\n",
            "torch.Size([16, 1, 32, 32])\n",
            "torch.Size([16, 1, 16, 16])\n",
            "Size of val set: 20\n",
            "Size of training set: 1280\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "J0w4KLicLH9N"
      },
      "source": [
        "Visualize the elements of the dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "SAU1fdrHGD9L",
        "outputId": "476629be-2262-4c68-cbe7-d9a7d911379c"
      },
      "source": [
        "it = iter(val)\n",
        "first = next(it)\n",
        "\n",
        "print('Sample image and its downsampled versions')\n",
        "for i in range(s+1):\n",
        "  plt.figure(figsize=(10,10))\n",
        "  plt.imshow(first[i].numpy()[0][0], cmap='gray')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Sample image and its downsampled versions\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Uv11nn312rrjiimUe8qRe+tKXzp6QJNmxY8fsCUmS1772tbMnJEmuueaa2ROSJHv37p09IUny6KOPzp6QJNm/f//sCUmSCy+8cPaEJMnRo0dnT0iSnHXWavwb9vrrr589IUny+OOPz56Q5PjnuVWwffv22ROSrM77x6msxkcRAMCSiSAAoCURBAC0JIIAgJZEEADQkggCAFoSQQBASyIIAGhJBAEALYkgAKAlEQQAtCSCAICWRBAA0JIIAgBaEkEAQEsiCABoSQQBAC2JIACgJREEALQkggCAlkQQANCSCAIAWhJBAEBLIggAaEkEAQAtiSAAoCURBAC0JIIAgJZEEADQkggCAFoSQQBASyIIAGhJBAEALW1e5sEOHz6cffv2LfOQJ/XMM8/MnpAkefnLXz57QpLk1a9+9ewJSZKrrrpq9oQkydlnnz17QpLVeT999NFHZ09IkvzzP//z7AlJVuf94/zzz589IUmyZcuW2ROSJC996UtnT0iSHDp0aPaEJMnevXtnT0iS/PVf//XsCc/LlSAAoCURBAC0JIIAgJZEEADQkggCAFoSQQBASyIIAGhJBAEALYkgAKAlEQQAtCSCAICWRBAA0NILRlBVvbeqHqqqLz3rtgur6uNV9bW1Py/Y2JkAAIv1Yq4EvS/JDc+57V1JPjnGuDbJJ9eeBwA4Y7xgBI0xPpXk0efcfGOS9689/f4kP73gXQAAG+p0HxN06Rhj39rTDyS5dEF7AACWYt0PjB5jjCTjVC+vqpuq6taquvXgwYPrPRwAwEKcbgQ9WFXflSRrfz50qlccY9w8xtgzxtizdevW0zwcAMBinW4EfTTJW9eefmuSjyxmDgDAcryYb5H/YJJPJ7muqu6rqrcl+a0kP1ZVX0vyo2vPAwCcMTa/0CuMMd5yihe9YcFbAACWxk+MBgBaEkEAQEsiCABoSQQBAC2JIACgJREEALQkggCAlkQQANCSCAIAWhJBAEBLIggAaEkEAQAtveAvUF2k888/P2984xuXeciVtn379tkTkiQPPPDA7AlJkocffnj2hCTJS17yktkTkiQ7d+6cPSFJcvHFF8+ekCTZtGnT7AlJkn/913+dPSFJ8o1vfGP2hCTJBRdcMHtCkmT37t2zJyRJXvWqV82ekGR17k9X5f3jVFwJAgBaEkEAQEsiCABoSQQBAC2JIACgJREEALQkggCAlkQQANCSCAIAWhJBAEBLIggAaEkEAQAtiSAAoCURBAC0JIIAgJZEEADQkggCAFoSQQBASyIIAGhJBAEALYkgAKAlEQQAtCSCAICWRBAA0JIIAgBaEkEAQEsiCABoSQQBAC2JIACgJREEALQkggCAlkQQANCSCAIAWtq8zIMdOnQoe/fuXeYhT2rr1q2zJyRJzjnnnNkTkiTHjh2bPSFJcvTo0dkTkiQPPfTQ7AlJkrPOWo1/o1TV7AlJjt9/rILXve51syckSW6//fbZE5JkJe7Tk+TBBx+cPSFJcs8998yekCS55pprZk9Ikjz99NOzJzyv1biXBQBYMhEEALQkggCAlkQQANCSCAIAWhJBAEBLIggAaEkEAQAtiSAAoCURBAC0JIIAgJZEEADQ0gtGUFW9t6oeqqovPeu2366qr1TVbVX1V1X1ko2dCQCwWC/mStD7ktzwnNs+nuSVY4zrk3w1ybsXvAsAYEO9YASNMT6V5NHn3PaxMcaRtWf/JcmuDdgGALBhFvGYoF9I8ncLeDsAAEuzrgiqql9PciTJB57ndW6qqlur6tYnn3xyPYcDAFiY046gqvr5JG9K8jNjjHGq1xtj3DzG2DPG2LNjx47TPRwAwEJtPp2/VFU3JHlnkv8+xjiw2EkAABvvxXyL/AeTfDrJdVV1X1W9LckfJtmR5ONV9YWq+pMN3gkAsFAveCVojPGWk9z8pxuwBQBgafzEaACgJREEALQkggCAlkQQANCSCAIAWhJBAEBLIggAaEkEAQAtiSAAoCURBAC0JIIAgJZEEADQ0gv+AtVFOnz4cB588MFlHvKkjh07NntCkuTuu++ePSFJcumll86ekCR51ateNXtCkuTxxx+fPSFJcvTo0dkTkiR33XXX7AlJknvvvXf2hCTJeeedN3tCkuS6666bPSFJcv3118+ekCT5xCc+MXtCkuRrX/va7AlJkte+9rWzJyRJLr/88tkTnpcrQQBASyIIAGhJBAEALYkgAKAlEQQAtCSCAICWRBAA0JIIAgBaEkEAQEsiCABoSQQBAC2JIACgJREEALQkggCAlkQQANCSCAIAWhJBAEBLIggAaEkEAQAtiSAAoCURBAC0JIIAgJZEEADQkggCAFoSQQBASyIIAGhJBAEALYkgAKAlEQQAtCSCAICWRBAA0JIIAgBaEkEAQEubl3mwc889N1deeeUyD7nSnnzyydkTkiSbNm2aPSFJcu+9986ekCTZt2/f7AlJkosuumj2hCTJ1VdfPXtCkuTyyy+fPSFJ8tWvfnX2hCTJV77yldkTkiRnn3327AlJkh/6oR+aPSFJcuzYsdkTkiTPPPPM7AlJkq1bt86e8LxcCQIAWhJBAEBLIggAaEkEAQAtiSAAoCURBAC0JIIAgJZEEADQkggCAFoSQQBASyIIAGhJBAEALb1gBFXVe6vqoar60kle9o6qGlW1c2PmAQBsjBdzJeh9SW547o1VtTvJG5Pcs+BNAAAb7gUjaIzxqSSPnuRFv5fknUnGokcBAGy003pMUFXdmGTvGOOLC94DALAUm7/dv1BV25L8Wo5/KezFvP5NSW5Kkp07PXQIAFgNp3Ml6OokVyX5YlXdnWRXks9X1WUne+Uxxs1jjD1jjD07duw4/aUAAAv0bV8JGmPcnuSSbz2/FkJ7xhiPLHAXAMCGejHfIv/BJJ9Ocl1V3VdVb9v4WQAAG+sFrwSNMd7yAi+/cmFrAACWxE+MBgBaEkEAQEsiCABoSQQBAC2JIACgJREEALQkggCAlkQQANCSCAIAWhJBAEBLIggAaEkEAQAtveAvUF3owTZvzsUXX7zMQ57Uli1bZk9Iknzzm9+cPSFJcvjw4dkTkiS33HLL7AlJkgceeGD2hCRZiY+VJLnoootmT0iSbN26dfaEJKtzPm677bbZE5IkjzzyyOwJSZJ9+/bNnpAkufzyy2dPSHL88+0q2L179+wJz8uVIACgJREEALQkggCAlkQQANCSCAIAWhJBAEBLIggAaEkEAQAtiSAAoCURBAC0JIIAgJZEEADQkggCAFoSQQBASyIIAGhJBAEALYkgAKAlEQQAtCSCAICWRBAA0JIIAgBaEkEAQEsiCABoSQQBAC2JIACgJREEALQkggCAlkQQANCSCAIAWhJBAEBLIggAaEkEAQAtiSAAoKUaYyzvYFUPJ/nGOt/MziSPLGDOdwrn40TOx4mcjxM5HydyPk7kfJzoO+l8vGyMcfFzb1xqBC1CVd06xtgze8eqcD5O5HycyPk4kfNxIufjRM7HiTqcD18OAwBaEkEAQEtnYgTdPHvAinE+TuR8nMj5OJHzcSLn40TOx4m+48/HGfeYIACARTgTrwQBAKzbGRNBVXVDVf17VX29qt41e89MVbW7qv6pqu6oqi9X1dtnb1oFVbWpqv6tqv5m9pbZquolVfWhqvpKVd1ZVT84e9NMVfWrax8rX6qqD1bVltmblqmq3ltVD1XVl55124VV9fGq+tranxfM3LhMpzgfv7328XJbVf1VVb1k5sZlOtn5eNbL3lFVo6p2zti20c6ICKqqTUn+KMmPJ3lFkrdU1SvmrprqSJJ3jDFekeQHkvyv5ufjW96e5M7ZI1bEHyT5+zHGy5P8tzQ+L1V1RZJfTrJnjPHKJJuSvHnuqqV7X5IbnnPbu5J8coxxbZJPrj3fxfvyX8/Hx5O8coxxfZKvJnn3skdN9L781/ORqtqd5I1J7ln2oGU5IyIoyfcn+foY4z/GGIeS/EWSGydvmmaMsW+M8fm1p5/M8U9wV8xdNVdV7Uryk0neM3vLbFV1fpIfTvKnSTLGODTG2D931XSbk2ytqs1JtiW5f/KepRpjfCrJo8+5+cYk7197+v1JfnqpoyY62fkYY3xsjHFk7dl/SbJr6cMmOcX7R5L8XpJ3JvmOffDwmRJBVyS591nP35fmn/S/paquTPKaJJ+Zu2S638/xD9Zjs4esgKuSPJzkz9a+PPieqto+e9QsY4y9SX4nx/81uy/J42OMj81dtRIuHWPsW3v6gSSXzhyzYn4hyd/NHjFTVd2YZO8Y44uzt2ykMyWCOImqOi/JXyb5lTHGE7P3zFJVb0ry0Bjjc7O3rIjNSb4vyR+PMV6T5Kn0+lLHCdYe63Jjjsfh5Um2V9XPzl21WsbxbxP+jv3X/rejqn49xx9y8IHZW2apqm1Jfi3J/569ZaOdKRG0N8nuZz2/a+22tqrq7BwPoA+MMT48e89kr0/yU1V1d45/qfRHqurP506a6r4k940xvnV18EM5HkVd/WiSu8YYD48xDif5cJLXTd60Ch6squ9KkrU/H5q8Z7qq+vkkb0ryM6P3z4+5Osf/0fDFtfvVXUk+X1WXTV21Ac6UCPpskmur6qqqOifHH9T40cmbpqmqyvHHe9w5xvjd2XtmG2O8e4yxa4xxZY6/b/zjGKPtv/THGA8kubeqrlu76Q1J7pg4abZ7kvxAVW1b+9h5Qxo/UPxZPprkrWtPvzXJRyZuma6qbsjxL6n/1BjjwOw9M40xbh9jXDLGuHLtfvW+JN+3dt/yHeWMiKC1B6v9YpJ/yPE7r/87xvjy3FVTvT7Jz+X4FY8vrP33E7NHsVJ+KckHquq2JK9O8n8m75lm7YrYh5J8PsntOX6/9x3/k3Cfrao+mOTTSa6rqvuq6m1JfivJj1XV13L8atlvzdy4TKc4H3+YZEeSj6/dp/7J1JFLdIrz0YKfGA0AtHRGXAkCAFg0EQQAtCSCAICWRBAA0JIIAgBaEkEAQEsiCABoSQQBAC39f8u3yNDZof1lAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f6-LBfvF3baC"
      },
      "source": [
        "## Model\n",
        "\n",
        "Here I incrementally build up a generalized form of the LapSRN model through the creation of the feature extraction and image reconstruction sub-networks. For Feature extraction and the overall network I include 2 different implementation, generalized and non-generalized, the prior being post-pended by a G to indicate 'generalized'. The generalized modules use input parameters to construct networks of varying sizes, while the non-generalized are size specific and make experimentation more difficult. \n",
        "\n",
        "Layer parameter values are found in the paper or calculated so the network performs as expected (this only included the stride for the transposed convolutions). \n",
        "\n",
        "I used bilinear initialization as has been formulated in  a different implementation I found online, specifically https://github.com/EdwardTyantov/LapSRN/blob/master/model.py as I was more interested in learning about the model than this type of initialization. \n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Q0Nt87yCtFUd",
        "outputId": "dbcc54c5-e98b-4956-ccd4-40e8a1703803"
      },
      "source": [
        "# same as the git clone command, but ! works on collab\n",
        "# imports the pytorch-summary module which lets us display nice metrics for the \n",
        "# models created\n",
        "!git clone https://github.com/sksq96/pytorch-summary"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "fatal: destination path 'pytorch-summary' already exists and is not an empty directory.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rWRDg26vZ3XU"
      },
      "source": [
        "# Import specific layers we want and summary \n",
        "from torch.nn import Conv2d, LeakyReLU, ConvTranspose2d, ModuleList\n",
        "from torchsummary import summary"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HhQbkJskLBav"
      },
      "source": [
        "# Model parameters:\n",
        "FILTERS = 64\n",
        "C_KERNEL = (3,3)\n",
        "TC_KERNEL = (4,4)\n",
        "TC_STRIDE = (2,2)\n",
        "PADDING = (1,1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gBBJ-MI7wUdi"
      },
      "source": [
        "# I got a bit lost trying to find a bilinear intialized for pytorch kernels\n",
        "# and opted to spend my work on other parts of the project - so I took an \n",
        "# existing implementation of the initializer that can be found here:\n",
        "# https://github.com/EdwardTyantov/LapSRN/blob/master/model.py\n",
        "\n",
        "def upsample_filt(size):\n",
        "    \"\"\"\n",
        "    Make a 2D bilinear kernel suitable for upsampling of the given (h, w) size.\n",
        "    https://warmspringwinds.github.io/tensorflow/tf-slim/2016/11/22/upsampling-and-image-segmentation-with-tensorflow-and-tf-slim/\n",
        "    \"\"\"\n",
        "    factor = (size + 1) // 2\n",
        "    if size % 2 == 1:\n",
        "        center = factor - 1\n",
        "    else:\n",
        "        center = factor - 0.5\n",
        "    og = np.ogrid[:size, :size]\n",
        "    return (1 - abs(og[0] - center) / factor) * \\\n",
        "           (1 - abs(og[1] - center) / factor)\n",
        "\n",
        "\n",
        "def bilinear_upsample_weights(filter_size, weights):\n",
        "    \"\"\"\n",
        "    Create weights matrix for transposed convolution with bilinear filter\n",
        "    initialization.\n",
        "    \"\"\"\n",
        "    f_out = weights.size(0)\n",
        "    f_in = weights.size(1)\n",
        "    weights = np.zeros((f_out,\n",
        "                        f_in,\n",
        "                        4,\n",
        "                        4), dtype=np.float32)\n",
        "\n",
        "    upsample_kernel = upsample_filt(filter_size)\n",
        "\n",
        "    for i in range(f_out):\n",
        "        for j in range(f_in):\n",
        "            weights[i, j, :, :] = upsample_kernel\n",
        "    return torch.Tensor(weights)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ML_GbAR8vcOy"
      },
      "source": [
        "Size specific feature extraction network:\n",
        "\n",
        "Has 10 convolutional layers followed by a transposed convolution. Each layer is fed into a leaky relu. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z-YnlbucrGTy"
      },
      "source": [
        "# Size Specific Feature Extraction Sub-network\n",
        "class FeatureExtraction(torch.nn.Module):\n",
        "  def __init__(self, is_initial=False):\n",
        "    super(FeatureExtraction, self).__init__()\n",
        "    \n",
        "    # make all the convolutional layers\n",
        "    if is_initial:\n",
        "      self.conv0 = Conv2d(in_channels=1, out_channels=FILTERS, kernel_size=C_KERNEL, padding=PADDING)\n",
        "    else: \n",
        "      self.conv0 = Conv2d(in_channels=FILTERS, out_channels=FILTERS, kernel_size=C_KERNEL, padding=PADDING)   \n",
        "    self.conv1 = Conv2d(in_channels=FILTERS, out_channels=FILTERS, kernel_size=C_KERNEL, padding=PADDING)     \n",
        "    self.conv2 = Conv2d(in_channels=FILTERS, out_channels=FILTERS, kernel_size=C_KERNEL, padding=PADDING)      \n",
        "    self.conv3 = Conv2d(in_channels=FILTERS, out_channels=FILTERS, kernel_size=C_KERNEL, padding=PADDING)      \n",
        "    self.conv4 = Conv2d(in_channels=FILTERS, out_channels=FILTERS, kernel_size=C_KERNEL, padding=PADDING)      \n",
        "    self.conv5 = Conv2d(in_channels=FILTERS, out_channels=FILTERS, kernel_size=C_KERNEL, padding=PADDING)      \n",
        "    self.conv6 = Conv2d(in_channels=FILTERS, out_channels=FILTERS, kernel_size=C_KERNEL, padding=PADDING)      \n",
        "    self.conv7 = Conv2d(in_channels=FILTERS, out_channels=FILTERS, kernel_size=C_KERNEL, padding=PADDING)      \n",
        "    self.conv8 = Conv2d(in_channels=FILTERS, out_channels=FILTERS, kernel_size=C_KERNEL, padding=PADDING)      \n",
        "    self.conv9 = Conv2d(in_channels=FILTERS, out_channels=FILTERS, kernel_size=C_KERNEL, padding=PADDING)      \n",
        "    # add a transposed convolution at the end\n",
        "    self.tConv = ConvTranspose2d(in_channels=FILTERS,\n",
        "                                 out_channels=FILTERS, \n",
        "                                 kernel_size=TC_KERNEL, \n",
        "                                 stride=TC_STRIDE, \n",
        "                                 padding=PADDING)\n",
        "    # use bilinear initialization for the transposed conv\n",
        "    self.tConv.weight.data.copy_(bilinear_upsample_weights(4, self.tConv.weight))\n",
        "\n",
        "    # set up the leaky relu to the right value\n",
        "    self.leaky_relu = LeakyReLU(negative_slope=0.2)\n",
        "    \n",
        "  def forward(self, x):\n",
        "    # loop through the layers and follow each with a leaky relu\n",
        "    out = self.leaky_relu(self.conv0(x))\n",
        "    out = self.leaky_relu(self.conv1(out))\n",
        "    out = self.leaky_relu(self.conv2(out))\n",
        "    out = self.leaky_relu(self.conv3(out))\n",
        "    out = self.leaky_relu(self.conv4(out))\n",
        "    out = self.leaky_relu(self.conv5(out))\n",
        "    out = self.leaky_relu(self.conv6(out))\n",
        "    out = self.leaky_relu(self.conv7(out))\n",
        "    out = self.leaky_relu(self.conv8(out))\n",
        "    out = self.leaky_relu(self.conv9(out))\n",
        "    out = self.leaky_relu(self.tConv(out))\n",
        "    return out\n",
        "\n",
        "#summary(FeatureExtraction(), (64, 8, 8))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Z2AHH-Rcvqlx"
      },
      "source": [
        "Generalized feature extraction sub-network:\n",
        "\n",
        "Has 'd' convolutional layers followed by a transposed convolution. Each layer is fed into a leaky relu. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YFlvI3e2Tuxr"
      },
      "source": [
        "# General FeatureExtraction Sub-network\n",
        "class FeatureExtractionG(torch.nn.Module):\n",
        "  def __init__(self, d=3, is_initial=False):\n",
        "    super(FeatureExtractionG, self).__init__()\n",
        "    \n",
        "    # make all the convolutional layers\n",
        "    self.layers = ModuleList()\n",
        "    if is_initial:\n",
        "      # if we are at the input layer we have 1 input channel\n",
        "      self.layers.append(Conv2d(in_channels=1, out_channels=FILTERS, \n",
        "                                kernel_size=C_KERNEL, padding=PADDING))      \n",
        "    for _ in range(d):\n",
        "      self.layers.append(Conv2d(in_channels=FILTERS, out_channels=FILTERS, \n",
        "                                kernel_size=C_KERNEL, padding=PADDING))\n",
        "    \n",
        "    # add a transposed convolution at the end\n",
        "    tConv = ConvTranspose2d(in_channels=FILTERS, \n",
        "                                       out_channels=FILTERS, \n",
        "                                       kernel_size=TC_KERNEL, \n",
        "                                       stride=TC_STRIDE, \n",
        "                                       padding=PADDING)\n",
        "    # use bilinear initialization for the transposed conv\n",
        "    tConv.weight.data.copy_(bilinear_upsample_weights(4, tConv.weight))\n",
        "    self.layers.append(tConv)\n",
        "\n",
        "    # set up the leaky relu to the right value\n",
        "    self.leaky_relu = LeakyReLU(negative_slope=0.2)\n",
        "    \n",
        "  def forward(self, x):\n",
        "    # loop through the layers and follow each with a leaky relu\n",
        "    for layer in self.layers:\n",
        "      x = self.leaky_relu(layer(x))\n",
        "    return x\n",
        "\n",
        "#summary(FeatureExtraction(), (64, 8, 8))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-wlF6RNrv30f"
      },
      "source": [
        "Image reconstruction subetwork:\n",
        "\n",
        "Takes the lower res image and the output of a feature extraction network. The lower res gets upsampled with a transposed convolution while the output gets compined using a convolution. The outputs of which are added to produce the network output. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iZzT-THaUDnh"
      },
      "source": [
        "# Image Reconstruction Sub-network\n",
        "class ImageReconstructionG(torch.nn.Module):\n",
        "  def __init__(self):\n",
        "    super(ImageReconstructionG, self).__init__()\n",
        "    # transposed conv and initialization\n",
        "    self.t_conv = ConvTranspose2d(in_channels=1, out_channels=1,\n",
        "                                  kernel_size=TC_KERNEL, stride=TC_STRIDE,\n",
        "                                  padding=PADDING)\n",
        "    self.t_conv.weight.data.copy_(bilinear_upsample_weights(4, self.t_conv.weight))\n",
        "    # normal conv\n",
        "    self.conv = Conv2d(in_channels=FILTERS, out_channels=1, \n",
        "                       kernel_size=C_KERNEL, padding=PADDING) \n",
        "\n",
        "  def forward(self, m_dim, s_dim):\n",
        "    residual = self.conv(m_dim) \n",
        "    upsample = self.t_conv(s_dim) \n",
        "    high_res =  residual+upsample\n",
        "    \n",
        "    return high_res\n",
        "#summary(ImageReconstruction(), [(64, 16, 16), (1, 8, 8)])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6x2fJ1i4wLzG"
      },
      "source": [
        "Size specific LapSRN Network:\n",
        "\n",
        "Has 2 stages of feature extraction and image reconstruction. The feature extraction sub-networks all have 10 convolutional layers.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DNcn9PJes7Zy"
      },
      "source": [
        "# Size Specific LapSRN Network\n",
        "class LapSRN(torch.nn.Module):\n",
        "  def __init__(self):\n",
        "    super(LapSRN, self).__init__()\n",
        "    # 2 extraction and reconstruction networks\n",
        "    self.extraction1 = FeatureExtraction(is_initial=True)\n",
        "    self.extraction2 = FeatureExtraction(is_initial=False)\n",
        "    \n",
        "    self.reconstruction1 = ImageReconstructionG()\n",
        "    self.reconstruction2 = ImageReconstructionG()\n",
        "\n",
        "  def forward(self, low_res):\n",
        "    extr1 = self.extraction1(low_res)\n",
        "    hr_2 = self.reconstruction1(extr1, low_res)\n",
        "\n",
        "    extr2 = self.extraction2(extr1)\n",
        "    hr_4 = self.reconstruction2(extr2, hr_2)\n",
        "    \n",
        "    return  [hr_2, hr_4]\n",
        "\n",
        "#summary(LapSRN(s=s), (1, 64, 64))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zpSV2NkUwZBE"
      },
      "source": [
        "General LapSRN Network:\n",
        "\n",
        "Has 's' stages of feature extraction and image reconstruction. The feature extraction sub-networks all have 'd' convolutional layers."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "v0JWVCY1X7pB"
      },
      "source": [
        "# General LapSRN Network\n",
        "class LapSRNG(torch.nn.Module):\n",
        "  def __init__(self, d=3, s=3):\n",
        "    super(LapSRNG, self).__init__()\n",
        "    # lists of extraction layers and reconstruction layers\n",
        "    self.extraction = ModuleList([FeatureExtractionG(d=d, is_initial=i==0) for i in range(s)])\n",
        "    self.reconstruction = ModuleList([ImageReconstructionG() for _ in range(s)])\n",
        "\n",
        "  def forward(self, low_res):\n",
        "    outputs = list()\n",
        "\n",
        "    # take the output of the previous output of the feature extraction and \n",
        "    # push it into another feature extraction. Take the previously reconstructed\n",
        "    # image and use it with the output of the feature extraction to create a new\n",
        "    # higher resolution image using the image reconstruction network\n",
        "    extracted = low_res.clone()\n",
        "    for extr, recon in zip(self.extraction, self.reconstruction):\n",
        "      extracted = extr(extracted)\n",
        "      low_res = recon(extracted,low_res)\n",
        "      outputs.append(low_res)\n",
        "    return outputs\n",
        "\n",
        "#summary(LapSRN(s=s), (1, 64, 64))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cyiLxvQQxJJ2"
      },
      "source": [
        "## Training\n",
        "\n",
        "Here I create the training mechanism for the model. \n",
        "\n",
        "I do this in the form of a class: modeling\n",
        "\n",
        "modeling has a fit function, which generally takes care of the entire training process. It also has a validation function to validate with an external dataset. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sdCr7V-9xLaT"
      },
      "source": [
        "import torch.optim as opt\n",
        "from torch.autograd import Variable\n",
        "from tqdm import tqdm"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2Tf_GmmhyqkL"
      },
      "source": [
        "# model params\n",
        "EPSILON = 1e-6  # 1e-3 squared\n",
        "BATCH_SIZE = 16"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UT8v2a9IgJ8l"
      },
      "source": [
        "def CharbonnierLoss(predict, target):\n",
        "  # As described in the paper \n",
        "  return torch.mean(torch.sqrt(torch.pow((predict-target), 2)+ EPSILON))\n",
        "\n",
        "def MeanSquareError(predict, target):\n",
        "  return torch.mean((target-predict)**2)\n",
        "\n",
        "# class to take care of all the training\n",
        "class modeling():\n",
        "  def __init__(self, d=5, s=3, lr=1e-5):\n",
        "    # save model params\n",
        "    self.s = s\n",
        "    self.d = d\n",
        "\n",
        "    # initialize model & optimizer as well as set the loss function    \n",
        "    self.model = LapSRNG(s=s, d=d)\n",
        "    self.loss = CharbonnierLoss\n",
        "    # momentum and weight_decay from the paper\n",
        "    self.optimizer = opt.SGD(self.model.parameters(), lr=lr, momentum=0.9, weight_decay=1e-4)\n",
        "    self.scheduler = torch.optim.lr_scheduler.StepLR(self.optimizer, 50, gamma=0.5)\n",
        "\n",
        "    # if GPU is available\n",
        "    self.cuda = torch.cuda.is_available()\n",
        "    if self.cuda:\n",
        "      self.model = self.model.cuda()\n",
        "\n",
        "  def fit(self, training_set, epochs, batch_size=BATCH_SIZE, shuffle=True, validation_set=None, epoch_img=True):\n",
        "    epoch_losses = []\n",
        "    val_losses = []\n",
        "    val_psnrs = [] \n",
        "    training_set = data.DataLoader(training_set, batch_size=batch_size, shuffle=shuffle)\n",
        "    train_length = len(training_set)\n",
        "\n",
        "    if validation_set is not None:\n",
        "      validation_set = data.DataLoader(validation_set, batch_size=batch_size, shuffle=shuffle)\n",
        "\n",
        "    for epoch in range(epochs):\n",
        "      epoch_loss = 0.0\n",
        "\n",
        "      # which batch to print from \n",
        "      rand_batch_idx = npr.randint(train_length)\n",
        "      \n",
        "      with tqdm(enumerate(training_set), total=train_length, position=0) as tepoch:\n",
        "        tepoch.set_description(\"Epoch {:03}/{}\".format(epoch+1, epochs))\n",
        "        for batch_i, batch in tepoch:\n",
        "          # get the true values & make into cuda if needed\n",
        "          true = [Variable(img) for img in batch]\n",
        "          if self.cuda: \n",
        "            true = [img.cuda() for img in true]\n",
        "\n",
        "          # zero the parameter gradients\n",
        "          self. optimizer.zero_grad()\n",
        "          \n",
        "          # forward pass\n",
        "          pred = self.model(true[-1])\n",
        "          # calculate multi-loss\n",
        "          loss = 0\n",
        "          for (tr, pr) in zip(true[:-1][::-1], pred):\n",
        "            loss += self.loss(tr, pr)\n",
        "          loss = loss/BATCH_SIZE\n",
        "          # backward + optimize\n",
        "          loss.backward()\n",
        "          self.optimizer.step()\n",
        "\n",
        "          # running sum\n",
        "          epoch_loss += loss.item()\n",
        "          postfix= f'Training loss: {round(epoch_loss/(batch_i+1), 4)}'\n",
        "          tepoch.set_postfix_str(postfix)\n",
        "\n",
        "          # display an true and predicted image\n",
        "          # can only export to numpy if on cpu\n",
        "          if (not self.cuda) and epoch_img and (batch_i == rand_batch_idx):\n",
        "            # select\n",
        "            rand_img_i = npr.randint(len(true[-1].numpy()))\n",
        "            tr = true[0].numpy()[rand_img_i][0]\n",
        "            pr = pred[-1].detach().numpy()[rand_img_i][0]\n",
        "            # plot\n",
        "            f, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(9, 3))\n",
        "            f.suptitle('Sample prediction from this epoch')\n",
        "            ax1.imshow(tr, cmap='gray')\n",
        "            ax1.set_title('True')\n",
        "            ax2.imshow(pr, cmap='gray')\n",
        "            ax2.set_title('Prediction')\n",
        "            ax3.imshow(np.abs(tr-pr), cmap='gray')\n",
        "            ax3.set_title('Absolute Error')\n",
        "\n",
        "        # store the epoch loss into a list\n",
        "        epoch_losses.append(epoch_loss)\n",
        "        \n",
        "      # if provided a validation set, get validation at the end of each epoch\n",
        "      if validation_set is not None:\n",
        "        val_loss, val_psnr=self.validate(validation_set, val_loaded=True)\n",
        "        val_losses.append(val_loss)\n",
        "        val_psnrs.append(val_psnr)\n",
        "\n",
        "      if (not self.cuda) and epoch_img:\n",
        "        plt.show()\n",
        "      \n",
        "      self.scheduler.step()\n",
        "    return epoch_losses, val_losses, val_psnrs\n",
        "\n",
        "  def validate(self, validation_set, batch_size=BATCH_SIZE, val_loaded=False):\n",
        "    '''\n",
        "    Given a dataset, evaluate the model PSNR per upsampled image and validation loss\n",
        "    val_loaded allows to load a DataLoader instead of a dataset, which means we\n",
        "      don't need to create new dataloaders every epoch when validating\n",
        "    '''\n",
        "    if not val_loaded:\n",
        "      validation_set = data.DataLoader(validation_set, batch_size=batch_size, shuffle=False)\n",
        "    val_length = len(validation_set)\n",
        "    avg_psnr = [0 for _ in range(len(list(val)[0])-1)]\n",
        "    val_epoch_loss = 0\n",
        "    with tqdm(enumerate(validation_set), total=val_length, position=0) as tepoch:\n",
        "      tepoch.set_description(\"Validation   \")\n",
        "\n",
        "      for batch_i, batch in tepoch:\n",
        "        true = [Variable(img) for img in batch]\n",
        "        if self.cuda: \n",
        "          true = [img.cuda() for img in true]\n",
        "        pred = self.model(true[-1])\n",
        "\n",
        "        # calculate metrics\n",
        "        mse = []\n",
        "        loss = 0\n",
        "        for (tr, pr) in zip(true[:-1][::-1], pred):\n",
        "          loss += self.loss(tr, pr)\n",
        "          mse.append(MeanSquareError(tr,pr))\n",
        "        loss = loss/BATCH_SIZE\n",
        "        psnr = [10*np.log10(1/i.item()) for i in mse]\n",
        "        avg_psnr = [old+new for old, new in zip(avg_psnr, psnr)]\n",
        "\n",
        "        val_epoch_loss += loss.item()\n",
        "\n",
        "        postfix =f'Val loss:  {round(val_epoch_loss/(batch_i+1), 4)}, '\n",
        "        round_avg_psnr = [round(psnr/(batch_i+1), 4) for psnr in avg_psnr]\n",
        "        for i, psnr in enumerate(round_avg_psnr):\n",
        "          postfix +=f'Avg PSNR{i+1}: {psnr} dB, ' \n",
        "        tepoch.set_postfix_str(postfix[:-2])\n",
        "\n",
        "    return val_epoch_loss, [psnr/BATCH_SIZE for psnr in round_avg_psnr]\n",
        "\n",
        "  def test(self, test_set, batch_size=BATCH_SIZE, display_number=10):\n",
        "    '''\n",
        "    Performs the same as validation with the additional option of displaying \n",
        "    true and predicted images\n",
        "\n",
        "    '''\n",
        "    test_set = data.DataLoader(test_set, batch_size=batch_size, shuffle=False)\n",
        "    test_length = len(test_set)\n",
        "    avg_psnr = [0 for _ in range(len(list(val)[0])-1)]\n",
        "    test_epoch_loss = 0\n",
        "    rand_batch_idx = npr.randint(test_length, size=display_number)\n",
        "    for batch_i, batch in enumerate(test_set):\n",
        "      true = [Variable(img) for img in batch]\n",
        "      pred = self.model(true[-1])\n",
        "\n",
        "      # display a random image \n",
        "      if batch_i in rand_batch_idx:\n",
        "        # select\n",
        "        rand_img_i = npr.randint(len(true[-1].numpy()))\n",
        "        tr = true[0].numpy()[rand_img_i][0]\n",
        "        pr = pred[-1].detach().numpy()[rand_img_i][0]\n",
        "        # plot\n",
        "        f, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(9, 3))\n",
        "        f.suptitle('Sample prediction from this epoch')\n",
        "        ax1.imshow(tr, cmap='gray')\n",
        "        ax1.set_title('True')\n",
        "        ax2.imshow(pr, cmap='gray')\n",
        "        ax2.set_title('Prediction')\n",
        "        ax3.imshow(np.abs(tr-pr), cmap='gray')\n",
        "        ax3.set_title('Absolute Error')\n",
        "      # calculate metrics\n",
        "      mse = []\n",
        "      loss = 0\n",
        "      for (tr, pr) in zip(true[:-1][::-1], pred):\n",
        "        loss += self.loss(tr, pr)\n",
        "        mse.append(MeanSquareError(tr,pr))\n",
        "      loss = loss/BATCH_SIZE\n",
        "      psnr = [10*np.log10(1/i.item()) for i in mse]\n",
        "      avg_psnr = [old+new for old, new in zip(avg_psnr, psnr)]\n",
        "\n",
        "      test_epoch_loss += loss.item()\n",
        "\n",
        "    postfix =f'Test loss: {round(test_epoch_loss/BATCH_SIZE, 4)}, '\n",
        "    round_avg_psnr = [round(psnr/BATCH_SIZE, 4) for psnr in avg_psnr]\n",
        "    for i, psnr in enumerate(round_avg_psnr):\n",
        "      postfix +=f'Avg PSNR{i+1}: {psnr} dB, ' \n",
        "\n",
        "    print(postfix)\n",
        "    plt.show()\n",
        "    return test_epoch_loss, [psnr/BATCH_SIZE for psnr in round_avg_psnr]\n",
        "\n",
        "  def load_model(self, path, gpu=False):\n",
        "    if gpu:\n",
        "      self.model = LapSRNG(s=self.s, d=self.d).cuda()\n",
        "      device = torch.device(\"cuda\")\n",
        "      self.model.load_state_dict(torch.load(path))\n",
        "      self.model.to(device)\n",
        "      self.cuda=True\n",
        "    else:\n",
        "      self.model = LapSRNG(s=self.s, d=self.d)\n",
        "      device = torch.device('cpu')\n",
        "      self.model.load_state_dict(torch.load(path, map_location=device))\n",
        "      self.cuda = False\n",
        "\n",
        "  def save_model(self, path):\n",
        "    torch.save(self.model.state_dict(), path)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2eWJJqYMxWXp"
      },
      "source": [
        "# training params\n",
        "epochs = 150  # from the figure in the paper\n",
        "D = 10\n",
        "LR = 1e-3"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sPz8d0pZg4BW"
      },
      "source": [
        "exp = modeling(s=s, d=D, lr=LR)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UlB30nOVzMbl",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d6ed9ced-6b7a-468b-87aa-5a19d54d1898"
      },
      "source": [
        "tr_loss, val_loss, val_psnr = exp.fit(tr_ds, epochs, validation_set=val_ds)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 001/150: 100%|██████████| 80/80 [00:16<00:00,  4.91it/s, Training loss: 0.0342]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.16it/s, Val loss:  0.0285, Avg PSNR1: 10.7871 dB, Avg PSNR2: 7.5236 dB]\n",
            "Epoch 002/150: 100%|██████████| 80/80 [00:16<00:00,  4.82it/s, Training loss: 0.0264]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.01it/s, Val loss:  0.0272, Avg PSNR1: 11.1879 dB, Avg PSNR2: 7.9008 dB]\n",
            "Epoch 003/150: 100%|██████████| 80/80 [00:16<00:00,  4.79it/s, Training loss: 0.0267]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.01it/s, Val loss:  0.0283, Avg PSNR1: 10.9323 dB, Avg PSNR2: 7.6446 dB]\n",
            "Epoch 004/150: 100%|██████████| 80/80 [00:16<00:00,  4.76it/s, Training loss: 0.0265]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.87it/s, Val loss:  0.0269, Avg PSNR1: 11.2098 dB, Avg PSNR2: 7.9679 dB]\n",
            "Epoch 005/150: 100%|██████████| 80/80 [00:16<00:00,  4.71it/s, Training loss: 0.0266]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.03it/s, Val loss:  0.027, Avg PSNR1: 11.1912 dB, Avg PSNR2: 7.9225 dB]\n",
            "Epoch 006/150: 100%|██████████| 80/80 [00:16<00:00,  4.91it/s, Training loss: 0.0264]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.25it/s, Val loss:  0.0262, Avg PSNR1: 11.3745 dB, Avg PSNR2: 8.1298 dB]\n",
            "Epoch 007/150: 100%|██████████| 80/80 [00:16<00:00,  4.94it/s, Training loss: 0.0264]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.16it/s, Val loss:  0.0273, Avg PSNR1: 11.1363 dB, Avg PSNR2: 7.9425 dB]\n",
            "Epoch 008/150: 100%|██████████| 80/80 [00:16<00:00,  4.85it/s, Training loss: 0.0261]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.08it/s, Val loss:  0.0289, Avg PSNR1: 10.6348 dB, Avg PSNR2: 7.3753 dB]\n",
            "Epoch 009/150: 100%|██████████| 80/80 [00:16<00:00,  4.85it/s, Training loss: 0.0261]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.11it/s, Val loss:  0.0273, Avg PSNR1: 11.0854 dB, Avg PSNR2: 7.9058 dB]\n",
            "Epoch 010/150: 100%|██████████| 80/80 [00:16<00:00,  4.84it/s, Training loss: 0.0259]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.19it/s, Val loss:  0.0268, Avg PSNR1: 11.407 dB, Avg PSNR2: 8.2239 dB]\n",
            "Epoch 011/150: 100%|██████████| 80/80 [00:16<00:00,  4.82it/s, Training loss: 0.0255]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.01it/s, Val loss:  0.0272, Avg PSNR1: 11.0959 dB, Avg PSNR2: 7.8454 dB]\n",
            "Epoch 012/150: 100%|██████████| 80/80 [00:16<00:00,  4.81it/s, Training loss: 0.026]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.93it/s, Val loss:  0.0282, Avg PSNR1: 10.8342 dB, Avg PSNR2: 7.6632 dB]\n",
            "Epoch 013/150: 100%|██████████| 80/80 [00:16<00:00,  4.82it/s, Training loss: 0.0256]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.04it/s, Val loss:  0.0267, Avg PSNR1: 11.3342 dB, Avg PSNR2: 8.0703 dB]\n",
            "Epoch 014/150: 100%|██████████| 80/80 [00:17<00:00,  4.63it/s, Training loss: 0.0263]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.91it/s, Val loss:  0.0272, Avg PSNR1: 11.1956 dB, Avg PSNR2: 8.0295 dB]\n",
            "Epoch 015/150: 100%|██████████| 80/80 [00:16<00:00,  4.72it/s, Training loss: 0.0259]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.94it/s, Val loss:  0.0272, Avg PSNR1: 11.1738 dB, Avg PSNR2: 7.9084 dB]\n",
            "Epoch 016/150: 100%|██████████| 80/80 [00:16<00:00,  4.76it/s, Training loss: 0.0259]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.90it/s, Val loss:  0.0275, Avg PSNR1: 11.0712 dB, Avg PSNR2: 7.9237 dB]\n",
            "Epoch 017/150: 100%|██████████| 80/80 [00:16<00:00,  4.75it/s, Training loss: 0.0259]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.00it/s, Val loss:  0.0269, Avg PSNR1: 11.1533 dB, Avg PSNR2: 7.966 dB]\n",
            "Epoch 018/150: 100%|██████████| 80/80 [00:16<00:00,  4.79it/s, Training loss: 0.0259]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.00it/s, Val loss:  0.0273, Avg PSNR1: 10.9452 dB, Avg PSNR2: 7.6946 dB]\n",
            "Epoch 019/150: 100%|██████████| 80/80 [00:16<00:00,  4.75it/s, Training loss: 0.0256]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.97it/s, Val loss:  0.0268, Avg PSNR1: 11.2401 dB, Avg PSNR2: 7.9337 dB]\n",
            "Epoch 020/150: 100%|██████████| 80/80 [00:16<00:00,  4.78it/s, Training loss: 0.0255]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.90it/s, Val loss:  0.0272, Avg PSNR1: 11.3295 dB, Avg PSNR2: 7.983 dB]\n",
            "Epoch 021/150: 100%|██████████| 80/80 [00:16<00:00,  4.76it/s, Training loss: 0.026]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.01it/s, Val loss:  0.0265, Avg PSNR1: 11.4136 dB, Avg PSNR2: 8.1831 dB]\n",
            "Epoch 022/150: 100%|██████████| 80/80 [00:17<00:00,  4.69it/s, Training loss: 0.0252]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.91it/s, Val loss:  0.0268, Avg PSNR1: 11.2658 dB, Avg PSNR2: 8.0171 dB]\n",
            "Epoch 023/150: 100%|██████████| 80/80 [00:16<00:00,  4.74it/s, Training loss: 0.0256]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.87it/s, Val loss:  0.0272, Avg PSNR1: 11.1151 dB, Avg PSNR2: 7.8849 dB]\n",
            "Epoch 024/150: 100%|██████████| 80/80 [00:16<00:00,  4.77it/s, Training loss: 0.0254]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.89it/s, Val loss:  0.0274, Avg PSNR1: 11.1477 dB, Avg PSNR2: 7.8989 dB]\n",
            "Epoch 025/150: 100%|██████████| 80/80 [00:17<00:00,  4.66it/s, Training loss: 0.0261]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.90it/s, Val loss:  0.0262, Avg PSNR1: 11.4602 dB, Avg PSNR2: 8.2009 dB]\n",
            "Epoch 026/150: 100%|██████████| 80/80 [00:16<00:00,  4.72it/s, Training loss: 0.0259]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.95it/s, Val loss:  0.0271, Avg PSNR1: 11.2209 dB, Avg PSNR2: 7.9562 dB]\n",
            "Epoch 027/150: 100%|██████████| 80/80 [00:16<00:00,  4.72it/s, Training loss: 0.0261]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.98it/s, Val loss:  0.0266, Avg PSNR1: 11.3534 dB, Avg PSNR2: 8.0499 dB]\n",
            "Epoch 028/150: 100%|██████████| 80/80 [00:16<00:00,  4.82it/s, Training loss: 0.0253]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.93it/s, Val loss:  0.0265, Avg PSNR1: 11.3153 dB, Avg PSNR2: 7.9173 dB]\n",
            "Epoch 029/150: 100%|██████████| 80/80 [00:16<00:00,  4.74it/s, Training loss: 0.0257]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.92it/s, Val loss:  0.0269, Avg PSNR1: 11.3072 dB, Avg PSNR2: 7.9894 dB]\n",
            "Epoch 030/150: 100%|██████████| 80/80 [00:17<00:00,  4.70it/s, Training loss: 0.0251]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.93it/s, Val loss:  0.0268, Avg PSNR1: 11.2598 dB, Avg PSNR2: 7.9616 dB]\n",
            "Epoch 031/150: 100%|██████████| 80/80 [00:16<00:00,  4.81it/s, Training loss: 0.0258]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.93it/s, Val loss:  0.0265, Avg PSNR1: 11.2088 dB, Avg PSNR2: 7.9001 dB]\n",
            "Epoch 032/150: 100%|██████████| 80/80 [00:16<00:00,  4.79it/s, Training loss: 0.0255]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.93it/s, Val loss:  0.0268, Avg PSNR1: 11.3285 dB, Avg PSNR2: 8.0473 dB]\n",
            "Epoch 033/150: 100%|██████████| 80/80 [00:16<00:00,  4.76it/s, Training loss: 0.0253]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.01it/s, Val loss:  0.0266, Avg PSNR1: 11.4079 dB, Avg PSNR2: 8.1205 dB]\n",
            "Epoch 034/150: 100%|██████████| 80/80 [00:16<00:00,  4.71it/s, Training loss: 0.0258]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.90it/s, Val loss:  0.0278, Avg PSNR1: 10.916 dB, Avg PSNR2: 7.6264 dB]\n",
            "Epoch 035/150: 100%|██████████| 80/80 [00:16<00:00,  4.76it/s, Training loss: 0.0251]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.82it/s, Val loss:  0.0262, Avg PSNR1: 11.636 dB, Avg PSNR2: 8.3026 dB]\n",
            "Epoch 036/150: 100%|██████████| 80/80 [00:17<00:00,  4.69it/s, Training loss: 0.0255]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.84it/s, Val loss:  0.0263, Avg PSNR1: 11.4603 dB, Avg PSNR2: 8.1024 dB]\n",
            "Epoch 037/150: 100%|██████████| 80/80 [00:17<00:00,  4.69it/s, Training loss: 0.0255]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.92it/s, Val loss:  0.0269, Avg PSNR1: 11.2121 dB, Avg PSNR2: 7.8557 dB]\n",
            "Epoch 038/150: 100%|██████████| 80/80 [00:17<00:00,  4.53it/s, Training loss: 0.0254]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.69it/s, Val loss:  0.0272, Avg PSNR1: 11.1574 dB, Avg PSNR2: 7.7953 dB]\n",
            "Epoch 039/150: 100%|██████████| 80/80 [00:16<00:00,  4.76it/s, Training loss: 0.0253]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.94it/s, Val loss:  0.0259, Avg PSNR1: 11.664 dB, Avg PSNR2: 8.3199 dB]\n",
            "Epoch 040/150: 100%|██████████| 80/80 [00:16<00:00,  4.79it/s, Training loss: 0.0252]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.96it/s, Val loss:  0.0268, Avg PSNR1: 11.4072 dB, Avg PSNR2: 8.0095 dB]\n",
            "Epoch 041/150: 100%|██████████| 80/80 [00:16<00:00,  4.74it/s, Training loss: 0.025]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.94it/s, Val loss:  0.0266, Avg PSNR1: 11.2659 dB, Avg PSNR2: 7.894 dB]\n",
            "Epoch 042/150: 100%|██████████| 80/80 [00:16<00:00,  4.71it/s, Training loss: 0.0254]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.91it/s, Val loss:  0.0276, Avg PSNR1: 11.0562 dB, Avg PSNR2: 7.7744 dB]\n",
            "Epoch 043/150: 100%|██████████| 80/80 [00:16<00:00,  4.75it/s, Training loss: 0.0252]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.95it/s, Val loss:  0.0268, Avg PSNR1: 11.3844 dB, Avg PSNR2: 7.9953 dB]\n",
            "Epoch 044/150: 100%|██████████| 80/80 [00:16<00:00,  4.84it/s, Training loss: 0.0249]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.06it/s, Val loss:  0.0267, Avg PSNR1: 11.2354 dB, Avg PSNR2: 7.9092 dB]\n",
            "Epoch 045/150: 100%|██████████| 80/80 [00:16<00:00,  4.80it/s, Training loss: 0.0256]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  5.00it/s, Val loss:  0.0267, Avg PSNR1: 11.3183 dB, Avg PSNR2: 8.0452 dB]\n",
            "Epoch 046/150: 100%|██████████| 80/80 [00:16<00:00,  4.81it/s, Training loss: 0.0257]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.08it/s, Val loss:  0.0267, Avg PSNR1: 11.3109 dB, Avg PSNR2: 7.9541 dB]\n",
            "Epoch 047/150: 100%|██████████| 80/80 [00:16<00:00,  4.78it/s, Training loss: 0.025]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.92it/s, Val loss:  0.0262, Avg PSNR1: 11.2823 dB, Avg PSNR2: 7.9901 dB]\n",
            "Epoch 048/150: 100%|██████████| 80/80 [00:16<00:00,  4.77it/s, Training loss: 0.0252]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.97it/s, Val loss:  0.027, Avg PSNR1: 11.3809 dB, Avg PSNR2: 7.9998 dB]\n",
            "Epoch 049/150: 100%|██████████| 80/80 [00:16<00:00,  4.76it/s, Training loss: 0.0247]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.09it/s, Val loss:  0.0259, Avg PSNR1: 11.6081 dB, Avg PSNR2: 8.3009 dB]\n",
            "Epoch 050/150: 100%|██████████| 80/80 [00:16<00:00,  4.71it/s, Training loss: 0.0256]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.04it/s, Val loss:  0.0262, Avg PSNR1: 11.5735 dB, Avg PSNR2: 8.2214 dB]\n",
            "Epoch 051/150: 100%|██████████| 80/80 [00:16<00:00,  4.79it/s, Training loss: 0.0247]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.95it/s, Val loss:  0.0252, Avg PSNR1: 11.8427 dB, Avg PSNR2: 8.5905 dB]\n",
            "Epoch 052/150: 100%|██████████| 80/80 [00:17<00:00,  4.66it/s, Training loss: 0.0252]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.95it/s, Val loss:  0.0246, Avg PSNR1: 12.0743 dB, Avg PSNR2: 8.6724 dB]\n",
            "Epoch 053/150: 100%|██████████| 80/80 [00:16<00:00,  4.77it/s, Training loss: 0.025]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.97it/s, Val loss:  0.0273, Avg PSNR1: 11.2585 dB, Avg PSNR2: 7.9407 dB]\n",
            "Epoch 054/150: 100%|██████████| 80/80 [00:16<00:00,  4.77it/s, Training loss: 0.0251]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.13it/s, Val loss:  0.0254, Avg PSNR1: 11.6361 dB, Avg PSNR2: 8.3247 dB]\n",
            "Epoch 055/150: 100%|██████████| 80/80 [00:16<00:00,  4.82it/s, Training loss: 0.0252]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.03it/s, Val loss:  0.0252, Avg PSNR1: 11.9302 dB, Avg PSNR2: 8.617 dB]\n",
            "Epoch 056/150: 100%|██████████| 80/80 [00:16<00:00,  4.76it/s, Training loss: 0.025]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.95it/s, Val loss:  0.026, Avg PSNR1: 11.5825 dB, Avg PSNR2: 8.2968 dB]\n",
            "Epoch 057/150: 100%|██████████| 80/80 [00:16<00:00,  4.83it/s, Training loss: 0.0251]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  5.00it/s, Val loss:  0.0265, Avg PSNR1: 11.324 dB, Avg PSNR2: 8.0341 dB]\n",
            "Epoch 058/150: 100%|██████████| 80/80 [00:16<00:00,  4.81it/s, Training loss: 0.0248]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.04it/s, Val loss:  0.0264, Avg PSNR1: 11.4451 dB, Avg PSNR2: 8.1704 dB]\n",
            "Epoch 059/150: 100%|██████████| 80/80 [00:16<00:00,  4.81it/s, Training loss: 0.0251]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.98it/s, Val loss:  0.0265, Avg PSNR1: 11.3158 dB, Avg PSNR2: 8.0299 dB]\n",
            "Epoch 060/150: 100%|██████████| 80/80 [00:16<00:00,  4.77it/s, Training loss: 0.025]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.96it/s, Val loss:  0.0273, Avg PSNR1: 11.141 dB, Avg PSNR2: 7.7855 dB]\n",
            "Epoch 061/150: 100%|██████████| 80/80 [00:16<00:00,  4.77it/s, Training loss: 0.0247]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.93it/s, Val loss:  0.0257, Avg PSNR1: 11.7167 dB, Avg PSNR2: 8.2358 dB]\n",
            "Epoch 062/150: 100%|██████████| 80/80 [00:16<00:00,  4.74it/s, Training loss: 0.0244]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.04it/s, Val loss:  0.0262, Avg PSNR1: 11.4799 dB, Avg PSNR2: 8.1146 dB]\n",
            "Epoch 063/150: 100%|██████████| 80/80 [00:16<00:00,  4.80it/s, Training loss: 0.0252]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.99it/s, Val loss:  0.026, Avg PSNR1: 11.5988 dB, Avg PSNR2: 8.1782 dB]\n",
            "Epoch 064/150: 100%|██████████| 80/80 [00:16<00:00,  4.80it/s, Training loss: 0.025]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.02it/s, Val loss:  0.0259, Avg PSNR1: 11.4852 dB, Avg PSNR2: 8.2541 dB]\n",
            "Epoch 065/150: 100%|██████████| 80/80 [00:16<00:00,  4.84it/s, Training loss: 0.0249]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.93it/s, Val loss:  0.0266, Avg PSNR1: 11.3764 dB, Avg PSNR2: 7.9717 dB]\n",
            "Epoch 066/150: 100%|██████████| 80/80 [00:16<00:00,  4.82it/s, Training loss: 0.0247]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.95it/s, Val loss:  0.0264, Avg PSNR1: 11.3699 dB, Avg PSNR2: 8.0863 dB]\n",
            "Epoch 067/150: 100%|██████████| 80/80 [00:16<00:00,  4.78it/s, Training loss: 0.025]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.01it/s, Val loss:  0.027, Avg PSNR1: 11.2958 dB, Avg PSNR2: 7.915 dB]\n",
            "Epoch 068/150: 100%|██████████| 80/80 [00:16<00:00,  4.72it/s, Training loss: 0.0249]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.99it/s, Val loss:  0.0262, Avg PSNR1: 11.3245 dB, Avg PSNR2: 8.0065 dB]\n",
            "Epoch 069/150: 100%|██████████| 80/80 [00:16<00:00,  4.75it/s, Training loss: 0.0254]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.89it/s, Val loss:  0.0263, Avg PSNR1: 11.4547 dB, Avg PSNR2: 8.1362 dB]\n",
            "Epoch 070/150: 100%|██████████| 80/80 [00:16<00:00,  4.88it/s, Training loss: 0.0247]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.11it/s, Val loss:  0.0259, Avg PSNR1: 11.4501 dB, Avg PSNR2: 8.1724 dB]\n",
            "Epoch 071/150: 100%|██████████| 80/80 [00:16<00:00,  4.90it/s, Training loss: 0.0248]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.09it/s, Val loss:  0.0261, Avg PSNR1: 11.5364 dB, Avg PSNR2: 8.2349 dB]\n",
            "Epoch 072/150: 100%|██████████| 80/80 [00:16<00:00,  4.90it/s, Training loss: 0.025]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.14it/s, Val loss:  0.026, Avg PSNR1: 11.5443 dB, Avg PSNR2: 8.2654 dB]\n",
            "Epoch 073/150: 100%|██████████| 80/80 [00:16<00:00,  4.92it/s, Training loss: 0.0253]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.20it/s, Val loss:  0.0258, Avg PSNR1: 11.6471 dB, Avg PSNR2: 8.3243 dB]\n",
            "Epoch 074/150: 100%|██████████| 80/80 [00:16<00:00,  4.95it/s, Training loss: 0.025]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.20it/s, Val loss:  0.0264, Avg PSNR1: 11.4966 dB, Avg PSNR2: 8.0795 dB]\n",
            "Epoch 075/150: 100%|██████████| 80/80 [00:16<00:00,  4.89it/s, Training loss: 0.025]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.16it/s, Val loss:  0.0262, Avg PSNR1: 11.387 dB, Avg PSNR2: 7.9867 dB]\n",
            "Epoch 076/150: 100%|██████████| 80/80 [00:16<00:00,  4.92it/s, Training loss: 0.0247]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.11it/s, Val loss:  0.0256, Avg PSNR1: 11.728 dB, Avg PSNR2: 8.4543 dB]\n",
            "Epoch 077/150: 100%|██████████| 80/80 [00:16<00:00,  4.96it/s, Training loss: 0.0251]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.21it/s, Val loss:  0.0262, Avg PSNR1: 11.5957 dB, Avg PSNR2: 8.1927 dB]\n",
            "Epoch 078/150: 100%|██████████| 80/80 [00:16<00:00,  4.99it/s, Training loss: 0.0251]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.11it/s, Val loss:  0.0254, Avg PSNR1: 11.4921 dB, Avg PSNR2: 8.1365 dB]\n",
            "Epoch 079/150: 100%|██████████| 80/80 [00:16<00:00,  4.88it/s, Training loss: 0.0251]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.18it/s, Val loss:  0.0268, Avg PSNR1: 11.3704 dB, Avg PSNR2: 7.8649 dB]\n",
            "Epoch 080/150: 100%|██████████| 80/80 [00:16<00:00,  4.87it/s, Training loss: 0.0248]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.05it/s, Val loss:  0.0271, Avg PSNR1: 11.0963 dB, Avg PSNR2: 7.8069 dB]\n",
            "Epoch 081/150: 100%|██████████| 80/80 [00:16<00:00,  4.86it/s, Training loss: 0.0247]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.10it/s, Val loss:  0.0271, Avg PSNR1: 11.0702 dB, Avg PSNR2: 7.7293 dB]\n",
            "Epoch 082/150: 100%|██████████| 80/80 [00:16<00:00,  4.87it/s, Training loss: 0.0249]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.08it/s, Val loss:  0.027, Avg PSNR1: 11.2014 dB, Avg PSNR2: 7.818 dB]\n",
            "Epoch 083/150: 100%|██████████| 80/80 [00:16<00:00,  4.93it/s, Training loss: 0.0249]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.09it/s, Val loss:  0.0261, Avg PSNR1: 11.4596 dB, Avg PSNR2: 8.1613 dB]\n",
            "Epoch 084/150: 100%|██████████| 80/80 [00:16<00:00,  4.89it/s, Training loss: 0.0248]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.06it/s, Val loss:  0.0257, Avg PSNR1: 11.5091 dB, Avg PSNR2: 8.2081 dB]\n",
            "Epoch 085/150: 100%|██████████| 80/80 [00:16<00:00,  4.88it/s, Training loss: 0.025]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.01it/s, Val loss:  0.0261, Avg PSNR1: 11.3946 dB, Avg PSNR2: 8.1038 dB]\n",
            "Epoch 086/150: 100%|██████████| 80/80 [00:16<00:00,  4.89it/s, Training loss: 0.0244]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.06it/s, Val loss:  0.0254, Avg PSNR1: 11.8018 dB, Avg PSNR2: 8.4434 dB]\n",
            "Epoch 087/150: 100%|██████████| 80/80 [00:16<00:00,  4.78it/s, Training loss: 0.0248]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.10it/s, Val loss:  0.0259, Avg PSNR1: 11.5424 dB, Avg PSNR2: 8.2231 dB]\n",
            "Epoch 088/150: 100%|██████████| 80/80 [00:16<00:00,  4.71it/s, Training loss: 0.0256]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.12it/s, Val loss:  0.0273, Avg PSNR1: 11.0079 dB, Avg PSNR2: 7.7008 dB]\n",
            "Epoch 089/150: 100%|██████████| 80/80 [00:16<00:00,  4.87it/s, Training loss: 0.0246]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.01it/s, Val loss:  0.0262, Avg PSNR1: 11.4727 dB, Avg PSNR2: 8.1354 dB]\n",
            "Epoch 090/150: 100%|██████████| 80/80 [00:16<00:00,  4.83it/s, Training loss: 0.0252]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.18it/s, Val loss:  0.0251, Avg PSNR1: 11.7 dB, Avg PSNR2: 8.3309 dB]\n",
            "Epoch 091/150: 100%|██████████| 80/80 [00:16<00:00,  4.85it/s, Training loss: 0.0249]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.09it/s, Val loss:  0.0264, Avg PSNR1: 11.3783 dB, Avg PSNR2: 8.0919 dB]\n",
            "Epoch 092/150: 100%|██████████| 80/80 [00:16<00:00,  4.86it/s, Training loss: 0.025]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.11it/s, Val loss:  0.0254, Avg PSNR1: 11.6426 dB, Avg PSNR2: 8.354 dB]\n",
            "Epoch 093/150: 100%|██████████| 80/80 [00:16<00:00,  4.88it/s, Training loss: 0.0248]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.18it/s, Val loss:  0.026, Avg PSNR1: 11.3985 dB, Avg PSNR2: 8.0257 dB]\n",
            "Epoch 094/150: 100%|██████████| 80/80 [00:16<00:00,  4.88it/s, Training loss: 0.0246]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.13it/s, Val loss:  0.0266, Avg PSNR1: 11.3824 dB, Avg PSNR2: 8.0466 dB]\n",
            "Epoch 095/150: 100%|██████████| 80/80 [00:16<00:00,  4.80it/s, Training loss: 0.0245]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.05it/s, Val loss:  0.0259, Avg PSNR1: 11.5215 dB, Avg PSNR2: 8.2258 dB]\n",
            "Epoch 096/150: 100%|██████████| 80/80 [00:16<00:00,  4.87it/s, Training loss: 0.0252]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.13it/s, Val loss:  0.0269, Avg PSNR1: 11.2196 dB, Avg PSNR2: 7.8736 dB]\n",
            "Epoch 097/150: 100%|██████████| 80/80 [00:16<00:00,  4.87it/s, Training loss: 0.0253]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.19it/s, Val loss:  0.0259, Avg PSNR1: 11.6058 dB, Avg PSNR2: 8.1915 dB]\n",
            "Epoch 098/150: 100%|██████████| 80/80 [00:16<00:00,  4.79it/s, Training loss: 0.0244]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.00it/s, Val loss:  0.0251, Avg PSNR1: 11.7141 dB, Avg PSNR2: 8.3909 dB]\n",
            "Epoch 099/150: 100%|██████████| 80/80 [00:16<00:00,  4.81it/s, Training loss: 0.0246]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.98it/s, Val loss:  0.0258, Avg PSNR1: 11.4735 dB, Avg PSNR2: 8.2156 dB]\n",
            "Epoch 100/150: 100%|██████████| 80/80 [00:16<00:00,  4.80it/s, Training loss: 0.0248]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.92it/s, Val loss:  0.0256, Avg PSNR1: 11.5679 dB, Avg PSNR2: 8.1497 dB]\n",
            "Epoch 101/150: 100%|██████████| 80/80 [00:16<00:00,  4.72it/s, Training loss: 0.0247]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.04it/s, Val loss:  0.0266, Avg PSNR1: 11.3988 dB, Avg PSNR2: 8.125 dB]\n",
            "Epoch 102/150: 100%|██████████| 80/80 [00:16<00:00,  4.83it/s, Training loss: 0.0243]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.20it/s, Val loss:  0.0256, Avg PSNR1: 11.5367 dB, Avg PSNR2: 8.2735 dB]\n",
            "Epoch 103/150: 100%|██████████| 80/80 [00:16<00:00,  4.86it/s, Training loss: 0.0251]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.06it/s, Val loss:  0.0256, Avg PSNR1: 11.7052 dB, Avg PSNR2: 8.323 dB]\n",
            "Epoch 104/150: 100%|██████████| 80/80 [00:16<00:00,  4.91it/s, Training loss: 0.0247]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.03it/s, Val loss:  0.026, Avg PSNR1: 11.5359 dB, Avg PSNR2: 8.2047 dB]\n",
            "Epoch 105/150: 100%|██████████| 80/80 [00:16<00:00,  4.84it/s, Training loss: 0.0245]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.14it/s, Val loss:  0.0257, Avg PSNR1: 11.6601 dB, Avg PSNR2: 8.2917 dB]\n",
            "Epoch 106/150: 100%|██████████| 80/80 [00:16<00:00,  4.81it/s, Training loss: 0.025]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.12it/s, Val loss:  0.0265, Avg PSNR1: 11.35 dB, Avg PSNR2: 7.9899 dB]\n",
            "Epoch 107/150: 100%|██████████| 80/80 [00:16<00:00,  4.95it/s, Training loss: 0.0243]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.08it/s, Val loss:  0.0264, Avg PSNR1: 11.3498 dB, Avg PSNR2: 7.9762 dB]\n",
            "Epoch 108/150: 100%|██████████| 80/80 [00:16<00:00,  4.85it/s, Training loss: 0.0248]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.15it/s, Val loss:  0.0253, Avg PSNR1: 11.7641 dB, Avg PSNR2: 8.5479 dB]\n",
            "Epoch 109/150: 100%|██████████| 80/80 [00:16<00:00,  4.91it/s, Training loss: 0.0248]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.00it/s, Val loss:  0.0265, Avg PSNR1: 11.3613 dB, Avg PSNR2: 7.9943 dB]\n",
            "Epoch 110/150: 100%|██████████| 80/80 [00:16<00:00,  4.81it/s, Training loss: 0.0243]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.87it/s, Val loss:  0.0264, Avg PSNR1: 11.4203 dB, Avg PSNR2: 8.1282 dB]\n",
            "Epoch 111/150: 100%|██████████| 80/80 [00:17<00:00,  4.67it/s, Training loss: 0.0249]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.87it/s, Val loss:  0.0258, Avg PSNR1: 11.3492 dB, Avg PSNR2: 8.1096 dB]\n",
            "Epoch 112/150: 100%|██████████| 80/80 [00:16<00:00,  4.76it/s, Training loss: 0.0247]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.09it/s, Val loss:  0.0269, Avg PSNR1: 11.2677 dB, Avg PSNR2: 7.9965 dB]\n",
            "Epoch 113/150: 100%|██████████| 80/80 [00:16<00:00,  4.79it/s, Training loss: 0.0247]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.10it/s, Val loss:  0.0262, Avg PSNR1: 11.5031 dB, Avg PSNR2: 8.215 dB]\n",
            "Epoch 114/150: 100%|██████████| 80/80 [00:16<00:00,  4.91it/s, Training loss: 0.0243]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.15it/s, Val loss:  0.026, Avg PSNR1: 11.3953 dB, Avg PSNR2: 8.1146 dB]\n",
            "Epoch 115/150: 100%|██████████| 80/80 [00:16<00:00,  4.88it/s, Training loss: 0.0247]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.05it/s, Val loss:  0.0266, Avg PSNR1: 11.3632 dB, Avg PSNR2: 8.0577 dB]\n",
            "Epoch 116/150: 100%|██████████| 80/80 [00:16<00:00,  4.87it/s, Training loss: 0.0251]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.10it/s, Val loss:  0.0262, Avg PSNR1: 11.5008 dB, Avg PSNR2: 8.0624 dB]\n",
            "Epoch 117/150: 100%|██████████| 80/80 [00:16<00:00,  4.86it/s, Training loss: 0.0247]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.07it/s, Val loss:  0.026, Avg PSNR1: 11.5167 dB, Avg PSNR2: 8.1648 dB]\n",
            "Epoch 118/150: 100%|██████████| 80/80 [00:16<00:00,  4.84it/s, Training loss: 0.0249]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.99it/s, Val loss:  0.0256, Avg PSNR1: 11.527 dB, Avg PSNR2: 8.1755 dB]\n",
            "Epoch 119/150: 100%|██████████| 80/80 [00:16<00:00,  4.81it/s, Training loss: 0.0245]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.01it/s, Val loss:  0.0244, Avg PSNR1: 12.0742 dB, Avg PSNR2: 8.7955 dB]\n",
            "Epoch 120/150: 100%|██████████| 80/80 [00:16<00:00,  4.88it/s, Training loss: 0.0247]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.07it/s, Val loss:  0.0267, Avg PSNR1: 11.4575 dB, Avg PSNR2: 8.1308 dB]\n",
            "Epoch 121/150: 100%|██████████| 80/80 [00:16<00:00,  4.83it/s, Training loss: 0.0239]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.04it/s, Val loss:  0.0272, Avg PSNR1: 11.1114 dB, Avg PSNR2: 7.8791 dB]\n",
            "Epoch 122/150: 100%|██████████| 80/80 [00:16<00:00,  4.91it/s, Training loss: 0.0247]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.04it/s, Val loss:  0.026, Avg PSNR1: 11.5155 dB, Avg PSNR2: 8.128 dB]\n",
            "Epoch 123/150: 100%|██████████| 80/80 [00:16<00:00,  4.83it/s, Training loss: 0.025]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.88it/s, Val loss:  0.026, Avg PSNR1: 11.6111 dB, Avg PSNR2: 8.2692 dB]\n",
            "Epoch 124/150: 100%|██████████| 80/80 [00:17<00:00,  4.69it/s, Training loss: 0.0245]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.97it/s, Val loss:  0.0262, Avg PSNR1: 11.3959 dB, Avg PSNR2: 8.1136 dB]\n",
            "Epoch 125/150: 100%|██████████| 80/80 [00:16<00:00,  4.73it/s, Training loss: 0.0245]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  5.00it/s, Val loss:  0.026, Avg PSNR1: 11.5327 dB, Avg PSNR2: 8.1929 dB]\n",
            "Epoch 126/150: 100%|██████████| 80/80 [00:16<00:00,  4.75it/s, Training loss: 0.0245]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.93it/s, Val loss:  0.0266, Avg PSNR1: 11.2774 dB, Avg PSNR2: 7.9081 dB]\n",
            "Epoch 127/150: 100%|██████████| 80/80 [00:16<00:00,  4.76it/s, Training loss: 0.0243]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.02it/s, Val loss:  0.026, Avg PSNR1: 11.63 dB, Avg PSNR2: 8.2572 dB]\n",
            "Epoch 128/150: 100%|██████████| 80/80 [00:16<00:00,  4.77it/s, Training loss: 0.0243]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.95it/s, Val loss:  0.0252, Avg PSNR1: 11.7565 dB, Avg PSNR2: 8.3948 dB]\n",
            "Epoch 129/150: 100%|██████████| 80/80 [00:16<00:00,  4.86it/s, Training loss: 0.0243]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.01it/s, Val loss:  0.0257, Avg PSNR1: 11.6523 dB, Avg PSNR2: 8.2954 dB]\n",
            "Epoch 130/150: 100%|██████████| 80/80 [00:16<00:00,  4.79it/s, Training loss: 0.025]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.02it/s, Val loss:  0.0261, Avg PSNR1: 11.4544 dB, Avg PSNR2: 8.2573 dB]\n",
            "Epoch 131/150: 100%|██████████| 80/80 [00:16<00:00,  4.80it/s, Training loss: 0.0249]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.75it/s, Val loss:  0.026, Avg PSNR1: 11.5382 dB, Avg PSNR2: 8.2529 dB]\n",
            "Epoch 132/150: 100%|██████████| 80/80 [00:17<00:00,  4.64it/s, Training loss: 0.0246]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.84it/s, Val loss:  0.0259, Avg PSNR1: 11.6051 dB, Avg PSNR2: 8.271 dB]\n",
            "Epoch 133/150: 100%|██████████| 80/80 [00:17<00:00,  4.67it/s, Training loss: 0.0246]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.89it/s, Val loss:  0.0266, Avg PSNR1: 11.2984 dB, Avg PSNR2: 7.9971 dB]\n",
            "Epoch 134/150: 100%|██████████| 80/80 [00:17<00:00,  4.64it/s, Training loss: 0.025]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.06it/s, Val loss:  0.027, Avg PSNR1: 11.1966 dB, Avg PSNR2: 7.7632 dB]\n",
            "Epoch 135/150: 100%|██████████| 80/80 [00:16<00:00,  4.76it/s, Training loss: 0.0242]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.86it/s, Val loss:  0.0245, Avg PSNR1: 11.9852 dB, Avg PSNR2: 8.7361 dB]\n",
            "Epoch 136/150: 100%|██████████| 80/80 [00:17<00:00,  4.68it/s, Training loss: 0.0247]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.88it/s, Val loss:  0.0273, Avg PSNR1: 11.1385 dB, Avg PSNR2: 7.7678 dB]\n",
            "Epoch 137/150: 100%|██████████| 80/80 [00:16<00:00,  4.78it/s, Training loss: 0.0242]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.96it/s, Val loss:  0.0256, Avg PSNR1: 11.7622 dB, Avg PSNR2: 8.3529 dB]\n",
            "Epoch 138/150: 100%|██████████| 80/80 [00:16<00:00,  4.83it/s, Training loss: 0.0245]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.07it/s, Val loss:  0.0254, Avg PSNR1: 11.7045 dB, Avg PSNR2: 8.3137 dB]\n",
            "Epoch 139/150: 100%|██████████| 80/80 [00:16<00:00,  4.85it/s, Training loss: 0.0244]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.09it/s, Val loss:  0.0254, Avg PSNR1: 11.6534 dB, Avg PSNR2: 8.3917 dB]\n",
            "Epoch 140/150: 100%|██████████| 80/80 [00:16<00:00,  4.86it/s, Training loss: 0.0243]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.09it/s, Val loss:  0.0261, Avg PSNR1: 11.5177 dB, Avg PSNR2: 8.1742 dB]\n",
            "Epoch 141/150: 100%|██████████| 80/80 [00:16<00:00,  4.83it/s, Training loss: 0.0246]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.06it/s, Val loss:  0.0256, Avg PSNR1: 11.7383 dB, Avg PSNR2: 8.3865 dB]\n",
            "Epoch 142/150: 100%|██████████| 80/80 [00:16<00:00,  4.93it/s, Training loss: 0.025]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.99it/s, Val loss:  0.0259, Avg PSNR1: 11.4897 dB, Avg PSNR2: 8.1519 dB]\n",
            "Epoch 143/150: 100%|██████████| 80/80 [00:16<00:00,  4.82it/s, Training loss: 0.0244]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.04it/s, Val loss:  0.0259, Avg PSNR1: 11.5214 dB, Avg PSNR2: 8.2021 dB]\n",
            "Epoch 144/150: 100%|██████████| 80/80 [00:16<00:00,  4.81it/s, Training loss: 0.0246]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.06it/s, Val loss:  0.0258, Avg PSNR1: 11.5486 dB, Avg PSNR2: 8.2141 dB]\n",
            "Epoch 145/150: 100%|██████████| 80/80 [00:16<00:00,  4.77it/s, Training loss: 0.0241]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.99it/s, Val loss:  0.0271, Avg PSNR1: 11.2236 dB, Avg PSNR2: 7.8972 dB]\n",
            "Epoch 146/150: 100%|██████████| 80/80 [00:16<00:00,  4.83it/s, Training loss: 0.0245]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.08it/s, Val loss:  0.0259, Avg PSNR1: 11.6267 dB, Avg PSNR2: 8.3049 dB]\n",
            "Epoch 147/150: 100%|██████████| 80/80 [00:16<00:00,  4.81it/s, Training loss: 0.0243]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.04it/s, Val loss:  0.025, Avg PSNR1: 11.6511 dB, Avg PSNR2: 8.4826 dB]\n",
            "Epoch 148/150: 100%|██████████| 80/80 [00:16<00:00,  4.82it/s, Training loss: 0.0246]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.01it/s, Val loss:  0.0258, Avg PSNR1: 11.5025 dB, Avg PSNR2: 8.2409 dB]\n",
            "Epoch 149/150: 100%|██████████| 80/80 [00:16<00:00,  4.83it/s, Training loss: 0.0244]\n",
            "Validation   : 100%|██████████| 20/20 [00:03<00:00,  5.06it/s, Val loss:  0.0259, Avg PSNR1: 11.4457 dB, Avg PSNR2: 8.1999 dB]\n",
            "Epoch 150/150: 100%|██████████| 80/80 [00:16<00:00,  4.85it/s, Training loss: 0.0244]\n",
            "Validation   : 100%|██████████| 20/20 [00:04<00:00,  4.97it/s, Val loss:  0.0254, Avg PSNR1: 11.6534 dB, Avg PSNR2: 8.2634 dB]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0q3C78rtk_9Q"
      },
      "source": [
        "Visualizing the training"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 729
        },
        "id": "jxOeBExykXqE",
        "outputId": "3b746e09-6887-4f57-96af-3764cda76a3b"
      },
      "source": [
        "plt.figure(figsize=(12,12))\n",
        "plt.plot(tr_loss, label='Training Loss')\n",
        "plt.plot(val_loss, label='Validation Loss')\n",
        "plt.title('Loss Curve')\n",
        "plt.ylabel('Loss')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x864 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 729
        },
        "id": "Zmfxc9OUk_ZZ",
        "outputId": "58b2891e-36c4-419e-e0f4-0d57009847dc"
      },
      "source": [
        "plt.figure(figsize=(12,12))\n",
        "plt.plot(val_psnr)\n",
        "plt.title('Convergence Analysis')\n",
        "plt.ylabel('PSNR (dB)')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend([f'PSNR for {i+1} Upsample Steps' for i in range(len(val_psnr))])\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x864 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1ZBcnAx9rVGE"
      },
      "source": [
        "save_path = '/content/drive/MyDrive/DIP/LapSRN/good3.pt'\n",
        "exp.save_model(save_path)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AvDR23NfxOFy"
      },
      "source": [
        "exp2 = modeling(s=s, d=D, lr=LR)\n",
        "exp2.load_model(save_path, gpu=False)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "ZJcb-OC-rZMt",
        "outputId": "abe2d77e-abc7-47e2-beaa-6bf983c72902"
      },
      "source": [
        "lss, psnrs = exp2.test(val_ds)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Test loss: 0.033, Avg PSNR1: 14.2509 dB, Avg PSNR2: 9.9351 dB, \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 648x216 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 648x216 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 648x216 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 648x216 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 648x216 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 648x216 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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PDVy/SZ8T35Ts94j4Tcpak0dfDdnrNA/MTQDNZ2mic2fhO77GhAsw7ix6EcAJIrqPiEIAfoYP2Bsf/Q6AXyWiYQAgojQR3bHxN5e+4uh3AHwfEb3RTqaLEtE3krXT6ZdhCbh/Q9amXN8CKxTiRM/CAiQftK8RIqJH7WMbACbsnA4n+iiA77bnQBCWK/rvbJe3S1/59M0AWrDAwX326zisre3lTrVvo2ub+v08LI/AEhG9weZPPyygUAXQtveD+RNYGwXG7aTQ/wcOm+YppbZgAY/vIGsDuX+Bzh1rO3j0NsnejwL4ISKatQHWLwL444PeyuDVJhdg3EGklLoAa4fMT8PK6jfj1j8GazOuZ4gob593w4WNXHLJiZRSzwH4XljJZBlYvPYe+1gdwLfY33dhbdzluMGcLezfDisZbhHWhmz/zD78GQBnAKwT0bbDfz8N4KcA/E9YIGUObp7RVxN9F4DfV0otKqXW+QWL594lvF5/BOCnYfHagwB4H5cELGWfgRU22AHw/9nH/jUs0HEZluz8I1hJy070vbA8HzsATsDa0ZfJiUdvVPbyKhT5ekOP8036PVgJ1Z+HtU9S1X6+ryhyK3m65JJLLrnkkksHTq4HwyWXXHLJJZdcOnByAYZLLrnkkksuuXTg5AIMl1xyySWXXHLpwOmWAAYRfT0RvUJWWd8fP6hGueTSa0UuD7v01UAuH7t0J9JNJ3naldMuAHgMVpb43wN4p1Lq7ME1zyWXXj1yedilrwZy+dilO5VupZLnQwAuKqUuAwARPQngHQC6MnVfX58aHh5Gq9VCu90GEcHj8YBBTrvdRr1eR6vVglJKn8PnBQIBeL1e5PN55PN5eDwe+P1+eDwe+Hw+fR4Rod1u6/vUajUopRAMBhEIBKCUQqvVgt1uAND/q9frqNfrUEpBKQWPx4NoNKrv4/V6ddtarRZKpRLq9ToCgQCCwSD8fj+i0ai+LgDUajXU63X4/X6Ew+GOY/zs9Xod1WoVzWYT1WoVSimkUilEo1E0m03UajV4vV4Eg9bOxsViEbVaraNvEokEACCbzaJaraLVaqHZbCIUCiGZTMLj8aBer+u2t1qtjmfi/pLtYuJxkH22n+N8PTmmclzN8/l3+epG6+vr20qpoa4n7E03zMPRaFQlk8k9+6MXcd+a793O2w91a4P5u9nX/N6r37s9Z69znI4x9Xp++Zv52el//HLiW6XUdc+4V9t6Ua/2Sup1H/P8paWlW+Vh4Ab5OBaLqf7+ftRqNTQaDXg8Hng8ljO73W5DKaXlGh+T8jgajSIQCCAQCMDv96PZbKJSqWg5xXNcKQWv1wufzwefz4doNKrld7lc1nJb9gv/NxwOIx6P63FTSiGXy2k5yDKL29/f349QKIRyuYxSqQSv1wu/39/R773kMLeXZabP50N/fz98Ph/K5bKWz6VSCT6fD/F4HB6PR8s1lqeBQAB9fX0gIhSLRa0bWO9wP3J/8Ytlu1JKy2hut5O+kP1iEusyeQ5fj//rNOZyjvG9zPtJ4u/NZrMrD98KwEijs1TpMqxNk8xGvBf2Rl7Dw8P49V//dezu7qJYLMLn8yEQsOrttNttNJtNLC8vI5vNolaraWby+/0IhUI4dOgQ+vr68KlPfQqf/vSnEY1GMTo6ilAohFQqhVAohGAwiGAwiFKppBXt4uIiqtUqjhw5gnQ6jVqthlLJKubm9XpBRAgGg/D5fFhbW8PVq1c1owWDQbz+9a/H5OQkwuEwIpEIGo0GSqUSSqUSnn32WayurmJ6ehqTk5MYHR3F/fffj1AoBK/XqiS7sLCA1dVVDA0N4ejRo/D5fB0TCgDW1tZw7tw5ZLNZnDt3Ds1mE0888QQeeughbG5uYmlpCZFIBIcOHQIAPPPMM7h69aqe5JOTk3jssccAAB//+MfxyiuvIJPJYHd3F0ePHsU73vEOBINBrKysoFQqIZfLoVgsIhgMIpFIoNVqYXd3F/V6Hc1mE61Wq0NQMsBikCcZkRna7/fr/vR4PGi326hWq2i328jn82g0GqhWq6hWqx3gkP/D4+Hz+RAOh/U5JmPzxPjABz7QrVT1fumGebivrw/f//3fj0AgAJ/Pd137uW1McmLzRJcCSf4mhcp+QEg3pS77i9smwTcLFz7G48a8JIUzKwCv16v/J69jvstrymNmnyil0Gw2O8Au94s81mg0Oj6zUuHvfJz5jM8xBSM/H7dRPkc3YGUCGVZ+TmPHJPtCGj1Oz6+Uwvve975b5WFgH3wsebi/vx/ve9/7MD8/j42NDUQiES0DSqUSKpUKnn/+eSwvLyMajSIej6PRaGh58dBDDyGdTiOdTmN8fBybm5t48cUXkc/ncenSJRQKBQ1e4vE4hoeHkUwm8eCDDyKRSOCpp57C6dOnEYvFkEqlAACNRgOtVgvlchm1Wg0nTpzAI488Ar/fj2AwiFqths985jO4ePEiEokEkskkqtUqtre3EYlE8E3f9E04cuQIXnjhBZw6dQrxeBzj4+Na1iqlcOXKFSwtLWFoaAjHjh3T4wNYBl6j0UChUMDW1haGhobw+OOPI5VK4cyZM1hZWcErr7yC559/HqlUCm9605sQjUZRLBZRrVaRy+Wwu7uL6elpfP3Xfz38fj+efvpprKysYHJyEpOTk2g2m6jX6yiXyzhz5gx2d3exsbGBnZ0d9PX1YWpqCs1mE6urq6hUKtcZYzwvlFJa/jA/yjkeDoc1qPN6vWg2myiXy2i32/q3aDSKWCymdRkb95I3GTCyfmR9JmUIEWFzc7MrD7/qe5EopX4bwG8DwOHDh1WlUsHm5ia2t7eRz+exu7uLUCiE0dFRBAIBVCqVDuXEkzgUCmFychJEhHA4jP7+fkQiEfT39yMQCCAcDncI/Vgshmg0inq9jlAohEajgcnJSQwPD6NWq6FcLncIIr/fD7/fr0EPD5zf78fw8LD2DjQaDQ1QGo0Gjh49itnZWfT396O/vx9EhPn5eQSDQczMzCAWi+HQoUOYnZ3VA12v17G1tYVGo4G5uTmMj49rBFutVjWIuPvuuzE8PKwHNhQKYWBgAF6vFw888AAOHTqk+zCZTOrniUQiSCaTaDQaqFQq8Hq9qFaraDQa2N3dRT6f10BCovZCoYBGo9HBrFIZ8Tu3B0CHUpECm4nBCAtZn8+nmTUUCmlvEyN1VgYSYfN9bhdJHp6YmFBskUhlKtvopKSkJ6fdbuu+kkpVWlvdLHImJ+tYKnM5hgA6xkgCQiLSz8LgnJUxAwxTKZvjLUEMg0Z+N8dRCjBWKlJhM5hgkMsggj9LQci8yLwsAYDsE37xs7CQ7QYyjLHXLx67ZrPZYRmaAINf3Ify+SW4lODz1SbJw2NjY2prawuLi4tYWlrC7OwsJicnkc/ncfnyZeRyOeRyOQBAJBLB4OCgfoZAIIBoNAqlFPL5PJRS2NjYwMrKCorFIgqFAsrlsu4Ltsh3d3fxpS99Sf926NAh3ZcMDFnOh0Ih7Ozs4LOf/Sw8Ho/22tZqNQwPD0MphWKxqMehVqvh6aefxosvvohSqYRisaj5gz3Kfr8fc3NzOHbsGPL5PK5evQoAiMfj8Pv9SCaTSCQS8Pv92rv99NNPa4/E6OgoKpUK8vk8EokEhoaGtM6pVqvIZDLY3NzUbff7/djd3UUmk0EqlUKtVkO1WsXOzg7K5TLy+bw2tKLRKNrtNtbW1vR8DAQCGqQ5edzZEJOyhPmbx0rOKf7M85f1K4MjBh9SBkmvFY+TlFv7oVsBGCsQ9eIBTGCP/QKY2XK5HLa3t7W3IBazSrrLUIQMl3BHs0s/EAggEokgGo3q/zC4kEIkFAqh1WrpDh0aGgK7BkOhkBZGALTlBkDfn//b19eHcDiswyeM7JRS2oMSDocRCoWQz+exurqKQCCggUMqlUJfXx+2t7dx5coVFAoFrK2toVqtYnJyEpFIRFvtzWYT4+PjAIB0Oo14PI5Wq6VdbfF4HD6fDzMzM6jX61hZWUG73UYkEtF9zP3DIRuPx6MtvWKxiHw+r59TujXZbSf7QvYJC3S2avl3+V1SNxe8z+fTlgmAjrHdy1V/I2GDfdAN8zC3n/uCX1KRdAMYDCJYsDJfOnkspPtS3tuJzH6T/ze9Fk6gkZ9HziO29nsBDPkulTgRIRQKOQIM6QmQ3gn5LsEHX5tBA/eH7DdWJvK5pQdDtpv513wWJ5DWbezMcXEaC5ZFEohxe/k6EqjfIt0QH7fbbRQKBWxvb2NjYwOjo6OIRCIoFArY2NjA7u4uqtWqVnashMPhsPYmA0ClUkGj0dCe0nK5rA0ofn6+X6VSwcrKCprNJubm5pBOp1EsFrGzs9OhAFlm5fN5LC4uatDq9/sxMjKCvr4+FItFbXUDQLPZxPz8PFqtFiKRiG4fgxMe7+HhYYyPj+PChQt4+eWXNchjgzUWi6HdbqNcLqNareLixYtQSuHBBx/E2NgY+vv7MTIyglgshng8rvULPyeH7ovFIvx+v/Zys3HHypx/4xBUMBhEo9FANpvVoRn27APoAKMmcJaGBMt6CYolMOb/s9yp1+sdxjZ7PgBcdw0JpGXIbC+6FYDx9wCOENEsLGb+dly/5W4H8cOy54HzKNrttg5n8ISv1WpoNpsIh8OYnp5GJBLB6OgoUqmUZhTOLZBWcaVSQalU0gKSiJBMJgEA4XAYgIWEmbHr9TqICENDQ+jr60M0GtUdyJ3JMUd2n1WrVWSzWXg8HiQSCa3QOS5XLpe18KjX6xpRLy8v49SpU3oiN5tNHDp0COl0WrvOPB6PFs5bW1vY3NzUiDcWiyGRSMDn82FpaQmZTAYLCwuYn5/HwMAA2u02gsGgfo6hoSGk02ntyWEmzmazSCQSGmSxRSgtQCZGsJKhTEuYBWmj0dDjLIUpC3Ke6NJVB0ArWymYJZo2lcYB0g3zMLfH9NhIJeUEBEywJT/3+p9p/Zu/O4EKeV0TaPDn/bx6ARMTWPB3CVrk+UzSY8P80Wg0tDXGz8mAgkEG0OmFMe/XC5Sa4M/kX7OfzDHjNslz2DNnAkOzz5wABl/rAPn5hviY53wgEEAsFtMe20AggKmpKSSTSQ344vG4BhaxWAzBYBAjIyOIRqO4evUqLly4oJW9z+dDMpnsAH9EpOXawMAAfD4fYrGYfnYew1gs1jFGLOcYYPA54XC447+RSATtdhsbGxsolUpIpVLaiJR5es1mE+vr66jVavB4PHj00Ufh8/kwODiIQCCA1dVVLC4uIp/PY2dnB0SkFS6Hjhl4+Xw+FItFHVKpVCqYmZnB7OwsPB4PstkslFJIJpM6/FStVlEoFLC5uYlms4mBgQEMDw9jdXUVm5ubUEp1yD42wHh+MN80m51bkcjQH3tSa7WaBhWmh409Rcz3jUZDzy9zbiql9DUl7zA4lnOlG900wFBKNYnoBwH8Daxta39PKXVmr/8x0/r9fmQyGfh8PrRaLWxtbXUoFVZAqVQK9913H/r6+jA0NIRoNIrJyUns7u52xOrZHVmpVFAoFLSSDoVCGBwcRCgU0p1WqVSwsbGBer2OUqkEIkI8HtfM1tfXB+CaUOYBLJfLWF5e1kiUJ2QoFEIikdB5IFLRcuJmsVjE/Pw8nnrqKeTzeZRKJXg8Hhw9ehRTU1M6nBEKhdDf3w+/34/z589jdXVVM1cqlcLIyAj8fj8uXryIK1eu4OLFizh79iwGBgZQLBYxMDCAhx9+GOl0WrsLi8UiVldX9eTJZDK6X9h1x1YEW5DMmN1cYmzxSgXC/3eKC/L4SAb1+/36XmwJyAnG55toeT+MvR+6GR6WgMlUJE4udu47aVlIBSV/t9vkqLiUUtdZvKbVvZcHA4CjQjYtfAkiTGDBQNH0YPA7z1v5bnowWPjJsBjzjfQSyFCC5B1+MTA128rX5f6VgMQJGHJfymOyvbKvuU9NK46PO/EF31d6W9i9fxB0o3zMcikYDGqZ1Wq1EAqFcPTo0Q75xVau3+9HIpFAOBzGzMwMUqkUzp8/j2effRaBQADJZFKf4/P5tIXOxlg4HMahQ4cQj8c7cgtYDgwODmqrv16vIxwOY2BgoKP/2BvBBiXrAh6D7e1tjIyMYGJiAuvr67hy5YoGTrFYDOVyGaurq5vfTnoAACAASURBVDh27Bgef/xxJBIJDA8Pg4jw4Q9/GF/+8pe1VyUWi+HkyZOIRqNYX1/XISMea5b/Ozs7qFQq+Nqv/Vo89thjuHz5Mp588kmUSiUcPnwYyWRSh46y2SyWl5fh8/nwhje8AYODgyiVSlhaWurIgQqFQtqD4fP5tLecDWIJGsx8NaWU9vg3m00d8uY5ywsY5LPw/2SIkgEje5n5fwxA+N570S3lYCil/grAX+33fEbOADQzjo2NdbjImFnC4bBO5mEFz8isVqsBuObuYauYY3OZTAaxWAyhUKijExqNhvYoZDIZPQAykU08m+5UTpCpVqsaTXNCKYdoODmpUChgdXVVC49YLIZYLKYnBocyuG2BQECHQDixp1AowOv1Yn19HUtLSwiFQjq5VCJPzlFh1zaHaWSiXigUQqVS0R4MZjbON2k2mx3KgxWZ7FvT+uJwhhTmPL4SAQOdis4p4dBUcvL314JulIeBm1t5cKvX7/Wbk+fCyaKXyrMbIGLq5sLfb97AXqCrWxvN35y8E8x3ppdAAhane3Xrx1601/VMsLufMZBewYOiG+FjTuYEoBVZqVTSspWBm+nN4e+chF8oFDQ/yIRCpRT6+voQiUSQyWRQqVQ65DDH/oPBINLptA5nA9fCpfYzodVqoVqtAoA2aJrNpl4pwmMeDAYRiUR0iGRgYADHjx+/zuInsrzjm5ubOlyslML29rZW3nwfNj5HR0cxNTWlDTT2bHDeEstFDonwahWWpSznGWwTkZb5/FwSgDLAY5Agc5RMjybnJpm/y5ecQ2ZIlueQ/J+U6TwO8p0/74d/X/UkT0nNZhPZbBaRSAThcBhzc3OYmJhAPp/H+fPnUalUNIiYnJzEsWPHtNJst9tYWlpCtVrF5uamBgbmss2lpSWcPXsWw8PD2vXHqCybzSKfz2NhYQHnzp0DAO3GYkXNVni9Xkcmk0GtVtPut2g0ilQqhUQigZmZGY2oAeDcuXM4f/48crkcVldX4ff7cf/992NwcBBHjx5FX18fUqkUjh07hlarpYHJ2NgYarWaRs5EpF2OX/ziF/Hyyy9jdnYWJ06c0ECFE4A41jc1NYXh4WEcOnTouufxeDwdsUGOqUajUQ12OCmLvTymVSstTGZyBkbsDgegPSHMzBJQ8OSSFikLCPZi8aR1UkgsmIH9K7nXivaaaKZXgslUetJtvtc15X9N934vT4YcWyfF6yREpEuVx8x8PieAYHpP5DW5TRIsyGdjJWOew0KSeZIFuGkkOIUsbgZcSNDi9Xo7lnYzHzrdS3qDZLslMHoVQn77IpaT8Xgc/f39aLVaOj+iUChAKaXDwgA6nqnRaOC5555DPp/HysqKtryj0SgA6OT1e++9F1/zNV+D8+fPo1gs6met1+tYW1vD5uYmXv/61+Ntb3sblFJYXl7WuQCsNKvVKiqVCtbX16GUwokTJ5BIJFAsFnH58mUMDg5ifHy8wxMzNDSEZDKJubk5PPHEEyiVSvjEJz6BxcVFHcre2dnB3/zN36DZbGoZz15l9poDwMrKCsLhMH7wB38Qjz32GL70pS/hL//yL+H1epFIJLTXgFe/PP/881hbW9PhdwZrXB6hUqkgGo2i1WppcKaUQiKR0B7sdrutQztmEjSADs+uXEHl8Xh0SIXvK1cDyrkuvcJsbLJBzSFJ03Bn8AFcm8MymbobvaYAgx+CQQFb3q1WSye6MOLkug6c4c4eBF5bDHQKUmZKttQlcpXuH3mcJw0Pmny121b9DM4cZpcYewqSyaRuM68syWQyKBQKKBaLOlQihQovp+UwEdfOkC5j4BpylUjYzEtgoMFryznpSC775WvKazGSZg+KmaAnEa8plCWTMRCTIMJEzExSycgwAR8z301lY3pD7jSAIUkqm/0qkF6TdK9jTgBDfu5lTZvtNsGNHE8JkrpZNKZ1dKPP7OQpMJ9Tgh0TKJneDNMSc3p2GU7p1VbJg7IN3TwcTp4XJ+B8O4itbc5Jk8t92dhg40T2M3s88/k8tra2UC6XO44zD3AdCTZigsFgRxIvh2VZ7sv8FibJgyzLORwAQIdg2LJnbwIbMhzq5lwGbr/f70ej0ehYzcdJmKwweWkrK25plLGnhZ+b78c5GrlcTntCWMkzEVl5HTLkx9eXc4c9EgwQpNdY8pE5F/lepj7he3fzSpjzuNs95LXM63Sj1xRgtFotZLNZjb6Y0Wq1mkZfRKSLobDVEA6Htassn8+j3W53IGxGkOVyGclkEkePHsXw8DBmZmb0OZVKRYdlJiYmNPocGRlBOBzG4OCgtr7l0qN8Po+1tTXs7u7qhCcGBebyn0AggOHhYUxMTCAajeL+++/XK1eCwSDGxsb0clK2BLPZrK4Jkk6nNRJtt9t45JFHMDs7i9nZWdx1110dAuH48eOYnJzUbjkOD1WrVe3BYK/F8vIy5ufn4fV68dBDD2FoaKij7eVyWQsFqSicmJIZmREs9yNPGOBa6KqbUDXBhumW66UUTGv3dpDMMeE2dVPcTFJg7uXJMH/vdo7pIXBSdvKzk9LmtknlIJ+HP8sVMzwGfIwFJbvIAeh3s93mmHcDLHy+k5dDJgSzS1uuPjNdvd34WAIFSd28HbId0sKTZCYrm+PDfXU7PRjNZlMnG7LBxsCC29dsNjVA4HBzKpVCvV7Xq+AAaKXO/cDKnPMf8vk8QqGQBiaAJa/D4TBWVlbwp3/6px3ghL2gDBj8fj8ikQgCgQAeeOABTE9Po1Kp4MKFC1qxE5EGSJVKRdekOHXqlOZpXhQgwUar1cL4+Diq1SrOnDmDxcVFJBIJxGIxeL1ebbx97GMfw+c+9zn9P6Wsol8sxz0eD7a3t1EqlVAoFFAoFEBE2N7eRrvdxu7uLnZ2dpBMJvHwww/D5/Pp9vKLDVOZAiD52DT8ZFv4nEql0jGn+Hwz9C/5TqYtsA7jeW/OSzkvpNewF72mAIMZSCZNcgyMFSsXzJFWGSswdgexW04ug2LAEg6HMTw8rBW71+vVLiOJbPnz2NiYZjqOO7Ng4BUpHGJoNBrao8L3lQlLjNp5RcrExAQGBgZ0vgO3DbjmAeDcjWg0ikQioZ8NAGbsZKqpqSkcPnxYe1VarRZGR0dBRCgUCh1AgnM5gsEgisWiZm6OHQ4NDWFubg7b29vIZrM6sUh6IdglZyohIupY8mTG95h6WcqSeHLwZx5veT8npXu7BDPgbLVLZbvXf02lyrQfMMG/SeXL773ARbfrm22TwMkstCafXSpHc7ykUJRW11594DSmTh4AGTOWoQi50kReU/ZVL8tL5kU4AR2T78wx4N9MJSABhglobrcHgz3JLOOAa4qDV9Ox4cf5Y6zUOZGek+l5HrMsyWazOpeAf+NcMKWs8C2vaPP7/drbwP0VCAT0tePxOCKRCNLpNCYnJ7VcB66tQGPe5cTS3d1dXLhwAV6vF0ePHkUqleqoPsq1POLxuF6SWq1WtREnPbovvfQSSqUS5ubmcPLkSbTbbR3OYIBVLBaxsbHRsfy0XC7D7/djbW0NKysrmJubw9TUFILBILa3t1GpVHQKAOeZSMAgZaP0HEuPtvydPebmHDHnryQ2GHmMu3krTcNkv2HH1xRgcG0I2ShGmJxIyZ3Hg2iWYuWQBoMLZtpisag9GIlEAolEAvF4HAA6koaYuZl5OeOW8z94pYZcjhWNRvVSpGQyCa/XKnfLQocZbXx8HPF4HBMTE3pZK6/kKJfLSKVSmJ6eBhHpbOmzZ89iYWEBfX19GBkZQSKRwPHjxxGNRvWaaK/Xi4WFBZ3cBAATExM6HrmwsIBMJoOLFy/C4/Houh3clxyK8vv9GoxJy5QBH4+HWQwKcI5tmy/+XZ5nAggmJ+UiFZxZCdKJ2W8XSVAB9H42k6T1bFIvL4U5wU2lux+l1Qt0yP6VoNk8j+cgGwVSaZrxWims5HVM92y3fjTbavaLGYaQgpVBkuxD+aySpHfEfG4nIGh64Mw2Su9dr7G7XUA5HA7jrrvu0jV96vW6lqtcHtvr9eqQNBFpq5prAQWDQYTDYS1nOG+Aw9ocwuWEeM6pkO5+WUiNPagDAwNa9rFnIpPJwOv14plnnsHFixextraGkZER+Hw+7Ulhz9vOzo4GnmNjYwCsvJCtrS1MTk4inU6jWq1ifX0djUYD+XwezWYTs7OzOH78uPaqA9DhEM7PCAQCWsZKIMY5hZxc+vDDD4OIsL6+rg1o7gvWaZVKRfcHcC3847RSxCyyxfpQfpbeY6CTj+X5Tp5DCZZ5XOQ5kqeZuI/vOIAxPT2NTCaj43fsosnn87pGBsek2Lpn8NFoNLQ7NBAIaGud1xiXy2Vt7XNCD4dWpEXFRWMAaCS6tbWlUfzIyAhCoZBe4cKdyMClVqthd3e3w0LjSqP9/f04dOgQWq0WLly4gEwmg8XFRayurmJmZkajxO3tbZTLZZw6dQrz8/MafIyPj+vk0EQigXa7jZWVFVy6dEmHiDgRaXBwEIVCAZcuXcLm5iZeeukl+Hw+HD58GIODgx0Ag92NDOiYASXAUEppq0MyLDMT/+7kejYVgJOFasbozXMYXEgrlJleTrjbDTC6gYReloL8r/nZybvQzTvhBDC6haN63du8Lx+XFhErQfM8qSBMz4r0BDjlZJjWkRPIcBKA8vk42VKCCs4PcFr5Ip/VCVyYyt4EPN2AmVOfd1u+3K3PbwdFo1E88MADuHr1KjY3N/Wqs3A4jNHRUQSDQV1xkuWF1+tFNpvVoIDBBS//5OtMTEygv79fu/45X61WqyGbzXYkH7LXudVqIZfLwePxIJlMduwT0mg0sLm5iXq9jtXVVXi9XgwMDGBychKFQgFXr17VHgMGQrVaDel0Go888gharRaeeeYZbG9vIx6P49ChQ9jZ2dGLCnZ2dgAA7373u/GWt7wFV69exQsvvACllK7NUSgU9JYT58+fh9/vx+joqAZC8Xgc5XJZ12x6xzveASLCk08+iZWVFb0EmMiqCcI5INLbwR4i1jdyOSiDJ6AzwRLYe+UHnyM/Oxl9EqQ7hXGld8P09Pei1xRgSCHEHglGsJywIytPysQbDg9wjE5aSYy+ZTastDKYkbkoiqxGx5vQxGIxEFn5F+xqksWCuO0cpuFkHnNZlVIKExMT2vUk3Vay9gNvnMPJl9wWjoEB0FnUuVxOF2/hxFC2InmdebVa1S5LzhNh4jr3nAWeyWRQKpV07oUM9TiRBGdyHFmYOwlS+d9uysbJUjSRM9CJum+n5SepV3u6Te5e1wI6Vy04Jb7dKu1HuXXzKvQCBL3e5XV78Uc3r47ZfqexdwIATvwo22D2uWy36aEyr7EfuhOARDfiucvggcha5hkKhXRuG5fiBqCTHbniL3ux2AiUlTs5n4PD0rIfOHwRiUSQSqW03GK5y/KEPQhsfMp8PB4XNhrZCOOke5an/DsnTLJXnEETh3t46X40GtVGJ+dQcH2JYrGowdXQ0JB+FuBa4apoNKo92JxnSES68jJ7KFhfZLNZnbPBYEPmZMhSAKz4TZljGl2sE0z5yX0px98JPMt5YAINCUpMGdCLXlOAAUBbPrxCg8umFgqFjizYcrms3XM8ETKZjF4/LROAiEgv4Ww2m3rzGGYyXu+8sLCAjY0NjI2N4ciRIwgGg/p/iURC52kUi0Udf5SWZKvV0jU0Ll26hGKxiPX1dV2pjuN9U1NT8Pl8eqJx9bp4PK49INlsVu/Hwpu6pVIpHYJpNpt6Odfa2houX76MeDyO173uddoN2WpZG5RdunRJuwS5eEwymdTuzEQigenpab08jRO8pEeHJ6Ncc23GjE1mNjfEYnJyzcnlqRItm4qF2ySROvMAX/t2C2/pfpTxZ0ndFG0v6qWETUHg5NFwAiRObTPPM8dYPh8f5+c0Y7SyTb28EVKRO71keKWXAJP9bnp2ZIjE7D+znRLMmQBXemK6kdN9ugGbbm25ncSJhpxgzqHloaEhXfmSS3bv7u5qYMH/DQQC2kjhQlbs5cjn89qzPDY2hpGRES2rcrkc5ubmcPz4cVy8eBHZbBZEpAttKaWwu7urQwUsO6VniFd/RCIRHDlyBLFYDCdOnNDJ681mE1tbWzh37hwKhYKuQsr1L9rtNkZGRvQ7y854PI56vY4rV67o+wLA/Pw8Ll26hLm5ObzxjW9ELpfDc889h0ajoT026XQaIyMjKJVKOH36tK6ZND093VH3g3UCe7fZsGPDlT3u7Xa7o94Gzws2CIFrc5vnAnsUpPeD+Z29IDI52Smswt85CZavZRrtRNfC2D357CCZdi/ihrKykcJPJmmZ7nhmGrbogc612fL6XB8iEAh0FCnhDGO5zTm7eWQsieOB7BHh36QrSipi9kRwXohcmsrX5yxq3mFV3pethng8jr6+Pj2ZOAeFNx4qFAoaCZu7XnLIiEEMx/g4v0QmaPE1maSbSwp1J+uPyVQ+vaxtU4E4WZsy/i3v1c1avp0Aw0k5OvXVzQAM07KQgMxUit28J+ZvvbwgvVz9Ts/t9JupnHudL6kbkOjmKTHb7fTcTuGIbu3o1nYTgOyXZF863etOIpaTUlYB1/Lh5LPLkCqD/UgkAr/frxM2WSHJqq0smzweT4dlznKQtzNgJcUGI8tqlksSPHMRQZaNcsUTb9Ugt2SXOX2yIiW3l2U6LwTgAmIsn7mvWM/E43GMjY3pY+zJYY8ye7iz2azOa+EkWT7ORh/3kZOs6zUHunngTL6X58jfpWHHv0kZIUG3yTMmINkPvaYAo9FoYG1tTbvVgGvLnDhkwXtkMLNxvfdarYaVlRUUCgX09/cjmUzqKp+85ezu7i7W19fRbDYxOTmpESiDGlauzWYTiURCF0Bpt9tYXFzE2tqaDtf09fXhxIkTumT35uYmBgYGMDg4CACYnJzs2FKeLYB0Oq3rUUxMTOh7t1otvVdJIBDQu6jOzs7q3JF77rlHV6RrNptYXFzEyy+/jPX1dSwsLGBiYgIPPPAAgsEg+vv7MTQ0hJMnT3ag03a7jQsXLuD06dOamQcHB3H33XejXq9jcXER6+vrerdZXhcumYa9Gkwmc0kkKz0MpjKTwoknihRE0vMhw2bmNfi+/H6neDC4X5yeez8Aw0kpSaFqjolprfNnqQzk793uZ353+o+TAu6l+FlQm+DK7B95nAW8tJTM2HK3PI5eZPadE4iQ55nf+bMTeJS0VwjLbOd+wNNrQeVyGadPn9Y1INg6LZVKeo8l7guZiMgK88iRIxgYGMDCwgKWl5c7NkSLxWK6HEAkEkG5XMbW1pbeu4OLVI2OjiKfz2NiYkLnKPh8PqRSKZ2Hx5tHnj17FpVKBUeOHMH4+Djm5+dx9uxZvRw1FovpvI+1tTW9vYLH49G7wbKhxcUJuTYHr3b567/+azz11FNIJBJ49NFHAVyrKvrggw/i5MmTuOeee/DII4/g4sWLeOGFF5DJZHQJgcuXL+OTn/ykDlkDwNTUlC6v7vV6kcvlsLi4CMDaKTsUCmFlZQUbGxsol8vacyPnBIeCJJADOjdA4+9mUjPPH+ltYA8G6yUp61mPSKAIdHqiZb7XHZfkyRXM2LMAXPNYcLwrHo93FJ+SngteY8xWPyNIBiLsoSiVSojFYh1bvwPQORFKqQ4vQLttrdfmzGIGDocPHwZg1bhfWlrSbqtgMKi3Q49GoyiXy4jH40ilUojH4xoBc9193dn2umUiawM2WUkvnU5jamoKRNeWc+Xzeb21/fb2tgZMPNHlslO2DsrlMubn57G6uqpzRBqNBg4dOoRGo4FcLodMJqOBDk9EVlqmcjOVAT+DPOYkoKXnQnqrpOvZVHCmO98Jgcv320Wm4jTbvV83v9O7tCDk79IdyveQfb1Xn3QDM+ZvvZ6Tf5Of92vxm6DDSdnK350Szcz7m8/nBMx6/dcJtJjPLPvWvK4TuDTHYj9j81pTo9HA+vq6dsnLHLJMJgMiKyeBlTBwDdTySpPR0VEdLpY7rXLBv+HhYQwMDGB1dRVLS0t6w0f2VvDqvFgsppNI2UuQTCa1V3dzcxOAJbvj8bjeIAywDMdsNotyuYxsNotUKoXNzU0sLi4iHA7rpancNlaUcmw5L2R7exvVahX33nsvHnjgAbTb1vbpSikMDw8jFovh8OHDmJub02UFKpUKEomE3lztypUrOrTDIWz2UnN4hKuFDgwMYGBgoKPkOusi9srLsTFlpQyDSGNHnivnJst2BhiSp+WS317zjo3Y/cw1ptccYBSLxY7fnHaC4+VRnGjE7jBmxGg0ioGBAZ1Ao5TSdSS4UpxSStfc4ApsvPlMOp3W7WGXGlvxHOro6+vDwMAAIpEIjh07hsHBQb2TK3sQ2m2ryE8ul9N5IVxjg3NBOFOZt+LlZKp0Oq2ruillLa968cUXEYlEdKEuXvo0PDyMaDSK6elpzMzMYGhoCDs7O9jd3dWZ2dyXcltgaQ1yAujAwAAajQbGx8cxNDSk+4DdjszgzHROrjL5zp+lF8MEF07/kfFymfPBoJKRugQ95nLD20FKqY6198D1Lkkej14Aw/ROyOvI53VaTSLdnHyO9GBJpecEVroBHKe8Bvnc+7W4u3kcTL5gAcpucWkpyXwsyR/yGjdCJoCQxP1nAjqnceF3/iyvJRWXGd7ic/m5b6cHgw09mRfFY8/bB7D8TCaT6O/v13zGRplM5JTL/re2tjQvsgeDk8kHBgYAWCW4P/e5z+mVg7zLM2AlpMfjcZ0AX61WkU6n0Wg0sLW1pev+jI6OauXNsmJ1dVXLPfniHakPHz6sjTiPx6NXv8hwy+rqKr7whS8gGo3qnagBK/Hz3LlzerUhe6AXFhawtLSE9fV1LTvZazEyMoKhoSHNB7yhZrNp7ezKG08C12o5sawGoHWT9ERIA6TXfOUxNA06yf9yBZacHxwS4s/mf2QF6DsKYLTbbZ2vwEiIGZOtaV7Cur29rZnVfEDOQpbINBqN6uU/XE+fXX9ckY2XksptcJmRZelwr9faGpj3HfF4PJicnNSomnc8JSL09/ejVCp1IFci6igde+HCBSwsLOi4JO8XIvMfdnZ2cPnyZaRSKUxMTOhNe4LBoA4bTUxMYHp6GvF4HOfOncPGxkZHTgeXLudQEPdxu93WybBcqjydTusdV7noC+enyKqqpoUms5udrFmZrGcCDJOkkJb/ISI9HjzmpqI86BUWN0IMMpwsWgAdCsQM+UilZa7KcVJgPIZmX0ilaH5m5WgCEvPa3RTnXl6AbspR/t4tFCD5QmbMmwCDeYKVYK/79iKzTWaeD3BtSS7/Ll3MZr/IMTC9QRJgy3ubfM6fbxexx5bnMSsNXulAZNXp4eWoMzMzHZYuK2deYgpA13DY3d1FsVhEMpnE4OAgqtWqXrmRSqXg9/uxurqKCxcu6CWs9Xod29vbaLWsyprsteY5Nj4+jlarhYsXL2J3dxepVEoXM5yengYAXLp0Caurq1oWM7jgxM5CoYB77rkHR44c0fOXkyw5DKSUwsbGhq6zMT09jVQqhe3tbRSLRaytrSGbzSIej+Po0aMgInzqU5/C/Py89iizkRmNRjE8PIzR0VHtEWcvN++vUi6XdTiCAQYArRuY/6XnxQQYTN3mrMmDku/5GtKzzr+btW7k7/J1RwEMpZQu2AJ0bh3NgoTzBuRDmettOSGIO4GBCif6NBoNndQIQAMNLksOXNtFkOtA8Jbu3ImpVKpjQvH/eTkoTyzeLZBLdnMikFwJUy6XUalUOirJcVLn1tYWcrkcyuWyTr7k5+HVLhwSSqVSuqws77TK9TCkAkokEvp5GElzP3PYhsues+dGKrJe3gInZS+VgjneTE7AwHSP80tagk7u8tsNLqQ1IUmGgUxLWXp5gM49LeRx87spWIBOYCY9RqYwMckJyJjv5n/Nvu4lULodc+ILU+l3Ayfm/+T1+Hs38CT71AQX3TxLe4EYc9y7CXXT+9Pt2W8HsZHGCe1soHg8nus8uXKfDC5FzcS5E7yjKF/b4/Egl8thaWlJ17cgIp3vwcCEgUS73dbXYMOPj0tPIQBtfHDBKgamXKqbNzzzeK4VjOrr60MoFEIymURfX5/Ok1BK6aKKnPTK+RmpVAr9/f2IRqM6N4L1hM/nQy6XQ7vdRiKRwNTUFFqtlk4u5bm9tramvfDsITbDEJxzxzkiJhjgZzDnJvOz9DaYclLKcSeekx5k/s5Ak/tdghnz2k4GqEl7Agwi+j0AjwPYVErdbf+WAvDHAGYAXAXwhFIqs9e1Wq0W8vk84vG4bhw/CHsRWFFzEigvF2LGZSXJAII7lb0CwWAQ8XhcJx0B0C66YrGISqWiQysyl2F4eLgjsZHjinJwd3Z2sLGxoXMwODGqXq9jfX0d6+vrmJqaQjKZRLvdxs7Ojs6hyOfzOrE0FoshnU5jfHwcV65cwUsvvaS9DnNzczpp9PWvfz1mZmYQi8V0sRq+1qlTp3D+/Hncd999GB0d1SDM5/NhYmICwWBQl0znJCMASKfTesfBRCIBpazwjLS05ZIw4Ho3sIznSS8Fv0uGZKZ0so4ZVHKIhi0PVsRSSZgFjG6UDpKPuwEpE2D0UlZy8gLOwI0/y7gxA0F+l4pT9plTqMTpHnzM6bMZq3U6pxc5AZ5uoNIMg3TLx+jlDTOFYS+Lzrye7BPuOzNEYoJvk7+d7tPt3jcDLg6Kh30+H4aGhrC1taW3FeBwLRdAZA8xGyH1eh07Ozta+SuldA6YVHCcnLm8vIyLFy9qedxut5HJZDqWWTJxWEFu0cA8wQpPKaWtZt5Ru1wuY2NjQxtMwWAQx48fx7Fjx5DP57G4uIhWq4Xp6WkEAgEcPnwY6XQam5ubugDWXXfdBQC6LoX0IE9OTsLr9WJtbQ3VahWDg4MYGxtDPp/HmTNnUKvVdHL+8vIyrly5onVavV7Hc889p7e2YF3DHmT2DiSTSYyOjsLj0R+PggAAIABJREFU8egdbZmX2CtuGnzc15zjwfkecot4aaRJgGHKaKBzZQ2vSGQDnA1yKYv5u5kM6kT7kdQfAvD1xm8/DuBvlVJHAPyt/X1P6iZA+MFNV4ysdyGXY8r8ABM587U5F4GRqVymKl1irNRYOPOAyY1kuGZHLpfT+3rkcjkdQ+T7ywQYjldyRVEuKRuPx/XmQXwfHlhz9YxUrhxnzGaz2NnZ0cVouB84IzqTyegMYQZCXOuegZZp2XEOCl9rL2RqHpcMb46r/E83FM6fu/HMrQpmmz6EA+Rjp1evkNBebXeyrs1rm+/d+novC3y/4ML83cn74XT9XmQqdrP9Nzu+5n17tbUbL/UCBOZ305pzor2e5Sae9UM4AB5m5dCtX+RcZtnHXlhOuOdQBF+PSYIHlm2siFhhslyS+R5MnHTJ3g5Z1oA9KrFYDIODg0gmk9pjwMSykw0VCarL5bLOe2A9wB4EuWyVwyuVSuW6F++8CkA/E+dOcAicE1jljrQSNMgyDaw3eCUl117qJfOk/HYyCKQRKM8xryd1QLdryutJo8ZpvJ1oTw+GUurzRDRj/PwOAG+2P38YwOcA/Nhe15KN4oHkwQKg8yW4hgWjOen+ZzeOXIXCSpKR7dLSEkKhEHZ2dhAIBHTxKk7IOXz4sC4Dzu4v9miwt4BzQtrtNubn57G2toalpSVcuXIFsVgMs7OzSCQSOHHiBAYGBjA0NKS9F319fQCAo0eP6g16dnd3kUgkMDIyohOZ2NsgByyRSCCTyaBWq+HixYvY2NjQ+6Ps7Ozgi1/8IgqFAqLRKE6cOIGxsTF4vV6srq7is5/9LAqFgu7T8fFxjI2NYXt7Gy+99FJH/Q/AivXlcjlcvnwZzWZTr+eWYE1mMUvGlR4HWTtfKXXdGnbprWIw5aRYJCqWVjnfnxlf1j7ZLx0kH5vA2KRuSttJKUmrwPwsry+taNOTY3p9JNB2yvPoBh67hRq6CS3zmk4K3Qk89AJQNwoonXjM/N0kEzSY7eW+NN3L5rh2u74T3SI45mscqCzmMWUgIZ89k8kgk8lga2tLhy/YOJHL4s2KyAw+ZmZmMDk5qcMRpVJJewIeeughnDx5EgsLCzhz5oze8kEpK7F0a2tLty8UCmlwweHgEydO4P7778fGxga+9KUv6U3TKpUKtra2sLm5qTedBKANsqWlJXziE5/QMigajeKee+5BLBbD+vo6Ll26hFAohHPnziEcDiOdTsPn8+HKlSvY2trqCMPPzc3B4/Hg+eefx8rKChKJBPr6+pBKpXDy5En4/X7s7u5qsMT1ktbX1/X2FxJMhUIhzM7O6vwMXp4qxh4AOua46YHgED/LUCmXzVwwBkNyPPm6nLsiPacs0znExcUgbzlE0oVGlFJr9ud1ACPdTiSi9wJ4LwBdihXoTPYS5+owhSyUIr0UPKnN+DMrPF7OyiViOX8BgM5z4GJdSqmOmhzcrlAoBKWU3ia+UChgZ2dHM2+1WkUqlYLHc213VvZAMBoGrtX04IkYi8X0ihBOBo1EIhoAcaImF8niSU5kldLd2trCwsICyuUyjh07hv7+/o49Va5evYpsNqvXkSuldHIn54pw3RFmvnq9rhO62NowyVSMLJTMF4+DBAA8XtJtZypR81wni4gniQQfB0D74mPJwxxW2k8bnKzqvbwLQKdb01SEEjiYORxM0iIxFeh+2uwEMLp5Mbodk3QjHh0ThHSjXrwj+8bJSjf/LwFEN8CxnzbdJrphHpahYH5mqYCISIesq9WqVi48f1kh8TkyVMrL4mOxGEZHR/UyUg57tNtWWe+pqSm926hp1Uv5weCHZSXnph07dgyJRAKLi4t6Z1QAevfogYEBvdkZb4aZyWSQy+W0B4Q92+12W+/zxHlzvPiAgUIul9OVpbnqJ29oubS0hHQ6rcuVDw4O6oRP9hzzJpVcBoHlLxvSHo9HF1nsJYNNXSjlIgMLM8Qt/+c0T0y+Nj2x8ppyVct+5OAtJ3kqpRQRdZ15SqnfBvDbAJBMJpVcdmZ2Fn9m5SvjSPzOyJlDH4y0ZFluHnwOUfT19enlpkNDQxgfH0cymdSFZbhaZrVaxeTkJAAgFovp1RSc2MOb+3ARrmQyiZmZGQwODmogUK1W8fLLLwOA9lLwcisuH05EeuJdunQJly5d0pOZV7pEIhGMjo4inU4jk8lgYWFBe1HK5TL6+vqglNKxR0565XZymVkWBux66+/v10Co1WohEAhgYGBAMw73oemC5zFwyuqXzM6MaC5zleu2GdDx+HJCmQlkzHvsZ3Odm6VefCx5eGxsTO01qfYCU92UqKnYpGUvzzEFhwzTyXene0rq5d0wj0k3qZkH0s0l60ROniuTx/YDMqSnxnTfOuV2OHlX+B7mGHUDZd28N9360snj8WqClP3ycCQSUXKpoRw7jr2zJcthCfk8Usnw8nsuYMir8nZ3d7G6uqo9GkopvRpkd3cXTz/9NGq1GoaHhzsMk8nJSaRSKczPz+PUqVO6nDmvBlFK6RV6xWJR154YGhrC2NiYzrvgVS2tVkvvaO3zWbtTK2WtVmw0Grhy5Yr2Oj/44IN6qwVeFttoNDA7O4vp6WkUCgVkMhkMDw/jvvvuQyQSwcWLF9FsNnUVZjZOec8nDqNzyIU3TmO+5XNzuRyWl5c1YOPS5tLDz3wEOO8twiErBtccXjLlBxF15NIwv3OCrwQOUr7zu9z4bC+6WYCxQURjSqk1IhoDsLmfP7EwNIUMey7YM6HUtYqPcpLKBCHOUeCOrVQq2grnipnsCuM9QMLhsK7wGYvF9MBubW1hdXVVL1saHBxEq9VCX18fAoGALqAlV3PcfffdunJnLBbTyjmfz+PChQsgIhw+fBiJREInSTFy9Xg8elfUhYUFnD9/Xlci5dAO78p611134cUXX8SpU6ewurqqJ+3IyAgCgYAGLtLK4HZyETIAOt8jlUrpGhtKKb1sll2ZjKhlGEO65yRjm6hYM5VD8o+TlcTEFpV5bf6PqcRu1CrvQTfFx9w+SVI5y9VR3SzobvkT5jlmgqOc2BK8AdcDCwYBZlEePtdUjrKPTaAhwYXT0tkbARnd+rAXyeuZHgon3pBtkIaM5EETyOyXp5zAhZNXxwSMvZ7pFuiGeZj5wqxlII07ItIGCJfZ5vOYp7iukZyr5XJZJ/Nvbm7qZfNEhOHhYfh8PmQyGSwvL2NwcBCTk5M6vy4YDOLBBx/EzMwMvF6vBhjlchmAFeoolUrI5XJYXV3VcyMYDGJqagrDw8Oo1+vI5XLaM8Lhl0qlogt7lUol7OzsoFarYXl5GcViEbOzs3rflLm5OeTzeXzhC19APp/H4OAgYrEYVldX0Wg0kEqltAfl6NGj+n6cN8g6KZ/PY2dnR/c15wDW63Xt2WYvRqFQwPLyMogIIyMjup2ykidwfQK55DO5EzYRdRS0ZOI5a27CyboXuFZ7hq/NhivfT4ax9+LhmwUYHwfwXQA+aL//7xv5s5NbnR+IH5YRNtCpbKQFzbGiRqOBfD6vY1rtdltvhMaWOq9U4Pvzdw51sFJlMMGV7JhRlbKWO/GqFi4QxoW9dnZ2sLS0hI2NDaysrMDr9WJ0dFQre/YqcDhF5o6w9wWwlDMXDWNPAq9yaTabGB4eRqVS0StEeAkWg55SqaS3POZlraVSCaurqxqgRaNRvYqEC58FAgEMDQ3pySFrAwDd4+rA/pcy8lh3s5SdrsH95HStA6Cb4mPT0pUCmoGt6aY0LQ+zgqKTEJGfue9MRcrjxeBDto+FgAwlspeJ2yQtE6lw5PiYHgwGs+bKHvN5eynZGwUXJpiVsoHbxH3FQEL2Of9uep9MD4YJXrt5Lcy+M5/XCWSZ590uHpZ9aW6QxeEIOb78H1lKgFcwML9z/havKuFNJFnBS0XFORVs1XPNC15NUiqVsLm5qRVZNBoFEekln5zoz0DH47H2WOLaHlwcbG5uDpVKBRsbG8jlcrqkOS8eYMOs1WrpnA1e4cgbqu3s7Ojl/gxYCoUCLl26hGg0ipWVFR2S6e/vh9fr1dVHuS95OW0kEsE999yjZTKHaNbX15HJZDo8RgzseB8rNqh53Ey5KD+b+Wt83ORXCS734hfTE9LNODJpP8tUPworiWiQiJYB/DQsZv4TIvoeAAsAntjzToIYtcmVGpwzIVeK8MOzYuT4HlvZXLGS3WfValVX7YzFYhgaGtLVLYvFomZwHuB2u43p6WmMjo4ikUhgd3cXExMTGBkZ0eEQuR6YM5+lNceT4+rVq3juueewtbWFs2fP6lAHV4TjpaS8rlwm/uzs7Oi+CQaDGB0dxfDwsK630dfXp3dR5b1cXve61+mlrvF4HDMzM/jGb/xGvXqE+7bRaGBnZwcvvfQSqtUqNjY29NbCg4ODWvCGQiGMjo4iGAzi6tWruogXCyBWVAw+pOIxs4udvAxSSbKHSu7Gx9dySq4zLfebEcwHycem940VKz+P3AXRDBVJrxsLbDN5Tr5kRUvZv9xXstAa9yvzrAxlyKx1voY87gQeTEVqnmO6TmWs1lS2cuz2AhomgJL9B3QCWglqGGzIvuT+A66B1V6eOLMd3cCWfF55rgk4+frymZzAx37ooHmY5RErQOCaUpQhYgBaZrVaLf0uPQ/Dw8OIRCKYnZ1FLBbD9vY2MpmMDkMzeOHVEuwhzeVyqNfreofntbU19PX16S0hQqGQrvPDK+c4xwy4tuEY77Tt8VhFEefm5vDWt74V+Xwep0+fxsrKCmKxmK4JxHsw8V4kAwMDOHLkiB6bcrmM8+fP632bEomEXkGzsbGBz3/+8/D5fHjhhRdw5coVXVirWq3ilVdeQbPZ1HKAZf3o6Cje8pa3oN1u48yZM9je3sbZs2cxPz+vk+U5X4+9LbLfpceA55kcOx5XGSVwMgalbjXnSDde4fAJ8z7PoVv2YCil3tnl0P+113+dSE467gw5UZ0sNGmRmS5ffpdLouSSVplPwMKcJxF3HCtlGUdjIMJMWCqVkEgk9L04Y9dMVpUgiZGvLINeKBR0u+v1ekchLI/HKpLFk5vLjDeb1uZs9XodY2NjqFQqOsTBE77ZbOr4n2Q+s68YpMlEQeCaNWMu+3IS9nytGxGSvSw7OY7mf5ws4JsBGAfNxyaZilgqZPkc0msn+dq0sJ3Amek54QnOHkAJhqWVvJe1YVo0Umk7KVXzt72U5l4eqBtN2jWBiwlOeQ6wbDGBQDfaq4/ku1NYxOl8s503AyxE+w6Eh5n/AHTwnBOfyFwWs0iU5C0+h+ULG0+sNNlAlKAYgPYg8KoETjoHrlW0rFarIKLr5DNfk5WktPJ5P6dGo6H3PuH6FNFoFP39/XovE/ayyG0seBku6wwOvw8MDCAajXYcY08MG7ucF8hAXVYW5T7nVRwmcJYGgFPoUdJ+eNnJU+ZkCDoBEXm+KXsPDGAcJElrisMWrNgikUiHMGZEJ4mXLPGkYHc/rx9ut9vatcR5Fkop5PN5zfTMwNlsFkSkV3RwGe5kMomhoSHUajWsr6+jWCzqpUgjIyNIp9M6BsfbFns8Hl22tq+vD0RWxvNdd92FmZkZlMtlHXc8deoUfD4fjhw5gkQigZMnT+Lhhx/W8U+mVquFV155Bc8++yzuuecePProozh06BAmJiZQLBbxyiuv6OVM+XxelxT3eDx6Qzl2tXEFunK5rO/BLkFum1R8pjDtpUAY5JgWK5MEjNI7IVG0E2CUmeTSPQvAMcv6tSInISwVNFv4ssaJE8BgwcMZ5NKtKV310uJ2UsTSA2KGSIDOKqtyjJ0sb+mBMNstvRYyB0OOuSkQnfrNSVg5kZPQczqHn1l6TiTo4GMSwJngS/5nr/vt9TLP4+e8FWBx0KSU0t4AuVRR8oE0XjgHgsn0bLKiLhaLKBQKOs+C5VJfXx+azSa2t7dRq9V0Plw4HMbo6Kj2hrBibrVaSCQSGBoaQjabxQsvvAAA+NZv/VacPHkSV69exaVLl1AsFnX1Y/a2rK+vY3NzU4dYiKztHO69916sr69jfn4ex48f1+Hk+fl5bG9v4/Tp08jlcnruZrNZBAIB9Pf3ay/wyMgI3vCGN0AppWuDcBj96tX/n7k3i5H0ys7Evj8iMzL2PTIyMiOXylqZZHWTbDbFFiVyehotCdJDowWjJUgYtIEB9GzYDx74xX7ww/jFDT8YNhoYSDJgSB7IFqblVgNaeqxuUiJZzWaRLNaWVblvERkZ+779fsj6Tp649UdmFlldxQsEIjPij3+599xzv/Od5W5gZ2cHwWBQCnTlcjm0223ZubrRaODhw4ewLGuEjYlEIrJtBbMnCcaAUXmizJrz1zRatOxpsKBrl5gvU/dqncNjeA1Th49rzxxgUAGZSMhseuHSFtPExIS4U7TFTYqYip0+QQosAQaR5uHhoVD+eidA0m88vl6vSxAocLI5my5nS6XLHV7j8bjsZRKJRGRnVJbP9Xg8SKfTmJycxPz8PGZnZ4V1YfQyr53L5XDp0iVJxbJtWwSVVoLbfbyxEPcRIJCyLEv6g35MUuhMq6Xv01wUnIRnHKNgUu/mb/g+rkbBuEXbZEw4WT4Pg/EsmrlYOy22mq3Qcqu/c5q0WnkAJ3vC8G9Ofi6gWuFoi3Vc3+n7Np/DfCanRfVJ25OO4XkYGOCkD3Wsz1n3eRYAOM93Jrgwj/kyyayWB/N+9ZzkQqfr51CHmLEZdF3TKGRaZzgcRjweB3BSmZIltYETo5G7abNsAOtU6L2lmN5arVaxubkp+hs4yW5rtVooFovw+XzY398XAysajYrBSEaY909Xe6FQEL3YaDSEjSbQmpiYkPRW0/htNBpoNptIJBLIZrOwLEuYEQbJ9no91Go1WJYlAZl0iZBxpvF0Flt8HlZS/87UtRqAn6bnndiP0wwesz1zgEFayLSAmPrEjgZOOpaLuk6P4YMyatf0GTMdSkc2M8OEmRzs4OHweBM2ppqyPC5dIYlEAu12WwIvWUZ8YmJCkDQ7O5VK4cqVK5JmSuHigs8UWp/PJ0Vb4vG49Ee9XhdrIBwOSw2Pjz/+WEqSE3wEAgHxTZbLZXzyyScjtPDKygpSqRSy2SzeeustoQw5WScmJjA9PS0bBlFJ6DRWWsccPyoYU8AZWKvHVFOhGvk6KWUAAn6ozGzblomsrV8zMvrL1s5ykZBB0NYzWRxTvs9awE2Kmo19qOeSBhwaoDhZP+OscfN73ZysdpO5MFmM057L/Hsc1Qs8HtCqXa5ngYzz9PHnBSBO9/28Gy1wypx2ffBeyWjoolp0WTADglY8A+a5WNLAY99zIzPbtiXws9/vSxC6Ht9KpYJyuSyscKfTkTLmOzs7+Pjjj6VgFwDE43HYtj2S9WbKoI7ZYBbKwcGBMNn1el2YB84busi5yVmxWEQ+n8edO3fgdrvFCN3a2kKhUJA5RKOROrTRaEg8HwDp92q1KgkKjH+bn5/HcDiUXbgJlgh0yHqStTRZJ21cAKPuPM4HlhMHTgxDHscxolHKc9i2PbKxHT87K3YDeA4AQ9PbpuLVfjR2Gq1t/a6zSZhWxcBQKvB6vS57bLDjGFxEwKIVIKur+Xy+kSjpyclJCfDhnh56Au3t7WF/fx+JRALxeBzRaFRypJ2oKZ/PJ24clhGn8AFAu92WLYm5Jf1gMMDDhw/RbDaxtbUledd+v1+CXQuFAj766CN0Oh3xU87NzckzB4PBkehl9l80GsXi4iL6/T62t7dRr9clfoRptRwrYDRQzsyjNoGjBnHmomJa9VRQOgNDgwntIvkyNycWg58Doy4jHRyr2QgqEifrYxyDRAaDiwKvo5WOBhJOLMd5n03/z6Zl3bw//b++1rjrmt+fB2BoJav/NwGSk7X2edsX+e3zbMPhULLWOMfM2CCnoGLqEgINHVvAWAu6JehqIDtAmSMDTb1lukept0OhkGwOxsD4QqGAhw8fig4DIAaYU7YZr0mWBIAYZwxA5f5UzNTTzA3j9agDyeawyifBE10r1F3JZFIYErpRPB4POp2OBLWy7hKfL51O49VXX0Wv18ONGzekrAGDXbkO6DGjDuGaOo4BpXHOZzABiGkIaJaKMTIEkVp/ncfQe+bObK2ITArZfEinz/mQRKTsLJN+ByB0HIudMEjI4/FgdnZW0qlIofl8PjSbTaytrY0g+2w2Kymn3LyHbhJSeNzzg9Y90095Dqa4MtYkkUjA6/Xi8PBQAj8BCINAt4bH45GNgzqdDhqNBiYmJpDJZDAzMyPlaFmDgwFRAIQNITXnFKhVq9WkoEyhUECz2YRt2wJ66H9lv5qshR5LTaOargEdiKgF2lyktMVvKgxz0X7e7bwLjNPCrHPP+Q6cKEq+qMh1TAqAx+aNyWBoy5OyzN9opU7GkMdQEWk2wBwHM9aD92+6PrXCMwGOCWzGgY8nYT3M/nZiYszjTGXLa+vvxgEi83snIHhesPQsG8faZNWAx1lF/RuyXjSWXC6XuGU5NzUL6XK5JDaCC6/H48HBwYFs0bC3tycyOBgcF8iibqSVzn7j+elSoG63LEvqFB0eHsrvqJ9ZKty2bczNzSGRSAgASiaTsKxjd8be3p7IZq1WE13PvpiensbS0pLoIOpqbudeLpcRDAaRyWSEfWFMXD6fl6B9xltwsR8Oh8jlclhdXUWv10M+n5ddaFnlmcazOXe00W6CNXMesA9NXeI0v02PgHksWRwAI/time25BHkCo/nrumkQwWYqYS3EpiWmF0+i1a2trceqdM7OzsrGObrE6vb2Nh48eCD+tkAggK985SsCSCYnJyUXutPpoFwuo1AoIJPJSO0MCvju7i6azSai0aikccViMXHftFot3Lt3D9vb2/IsoVAIKysrAmIsy8LOzg5+9KMficBFIhH8+q//Oi5fvozV1VXkcjk0m03ZHZF9VywWhU4sFAriUtJpifQTdrtdOZZbFdv2ccU7LaxcNHQRFy3sPLfZeAzjBbSyNVkPJ+UGjNaZeF7Wo9NCpb8zj3Ga5PycfUCFTSWiv9fBdE4LoslKmHEXtOqZZsbf6sWf40bmRDNIThbRuEBg06+vz6/vyUyjO+1lAic2J3DqNE5OTMY4RkPfM59TgyYnsGOOp9N9nvXbZ91s+yTt0LJGCzKZY6/1KuVUp0SHQqHHgj6Hw6HoVNaeCIfDePnllxEKhXDjxg3cu3cP3W4X9+7dw9TUFGKxmGyCxk3MmJHBeyBzzAw+MhGWdVzEK5FIYHt7W+ohcaO2Tz75BIVCAdlsFi+++CKSyaS4rhcWFhCLxdDpdHD37l3pn8FgIIwNZevtt9/G9773PXQ6HaytraFWq2FpaQmlUgl3797Fp59+ing8jsuXL0vxQrLct2/fFneLDopnFeNmsymFDlll1O/3I51Oj1Ss1vMHgIA46hEtU1qXatcsn9EE0jyW6xw/cwqM1rEj1Wp1rKw9FwaDDzaOveD/+nNt/Tr584FRxUbhpkBSQNnB2nWiJxIDlpzOqymzWq0mLpVEIiGFqyYnJwWdHhwcjPjaBoMBYrHYyHM3m00Ui0URHAZoUrnRSkgkEnC73ZienpbiWnxOxoRwb5Lp6WnZB4UsjqYlAUgpdQa48plarZbknwOQwFWnGg1OCtIJHLB/KeB6gTIVtC6QxAmlmZJxIORZN1M+dHPqGx5jWv9O1rKWRU50UpX8Xsu+BhLawqQi4ILi5Lri8Zwf2jo1F1w2E2Dol7kom/1hPqcGRCawMH9n9qnWAab7bJxs6vvWxziN4WkshBNDo8817vlPu79n2UwZMoGXHkPtpqQe5Dk0CNTzkowZ5ZIB6S6XS/ShZgJ0bACvT/mg3NNtQH3UaDTEoGo0GlJAa2ZmBsFgUDJMEomEbGJJ9w7BC6/FoowEMa1WC5ubm+LCmJycFBf1cDgcYaf1etZut7G1tYVyuYxisSjBn81mU1xCAKRKNJ+RjAxwvMUE+5dME/Wx1gPU/+NcI2zUJfo+xwFdziW9BurYC72+OlVsNttzicHQaJlo2Cw2xO8pYBRsdrq56NAy54B7vV4pfOJ2H+9dEolEEAgExB3AlCC9+Q9zsHmvExMTaLVasrNgLpcTcOJyuXDp0iVcv34dCwsLyGazKJfLWF1dRbFYxLvvvotcLiculuXlZXF/MDhqb28P9+/fl+CjdDqN5eVlsQ48Hg8uXbqE73znO/D7/VhaWpIAU0Ykx+PxkcAcpstykx9OJk6aer2OWCwmu/9NTU2h2WzKZmncxMjv92N5eVkmDTcsAh4vJ6sFjePHsdNBSRROnkPHKDCHXp+HY62DP8388Wfd9LOaQZyA80IEjLpGnEASZZcglhHs/X5fApXZj7wO380YFV0LhdckYKHy11amjl8ik6GpUjIcWpmZNCqfSytNc5HW81dbZBo88Xl4vMmUsZnX5WdOTR/n5K/XTX/HPjUBl8mA6Os73YMGVE8S9/KraE6A03Q58zu9JQODM/WCaFb+DIVCIxtV0ijzeDxSInt7exuFQkE2ehwMBjg6OhqZN5FIBKlUSopUDYfHO7zSJaH1MOU1FAphenoa3/3ud7G3t4f33nsPPp8Pf/zHf4yLFy/iwYMHAhp2d3elAGO/38elS5dw7do1KV++ubmJH/zgB8jn85idnYXP58ONGzfw05/+FLFYDF/96lfh8/mQy+VQq9UEPG1sbOAHP/iBFB/zer3Y3NzE4eGhMDvBYBBvvvkmZmZmsLOzI8xxs9mE3+/HV7/6VYRCIfziF7/A6uoqotEoZmZmZE8rc53TQEUz+Br8mYal1k86dRWA9Llu1Bc8N+MHv1QAAxgNxho3GZnxYSIsTnatdEwKlN9bljWyoyitdX5G+oqLnF4I9SQjwmbwJV0NwHEnz8zMIBaLIRwOIxQKSf14Bivl83mh2ripGBsVKQWnXq8jEomIkFCph0IhzM7Owu/3I5PJwOPxSLwFLU8W7LIbDWXgAAAgAElEQVSs41r24XAYR0dHKBaLsmjbti20ItkcZosMh0OhFpmGxfxtvdDo/j8LNZtK1fyc59KAw7Qc9YTRCvHL1s7DYvA4vnSkNoCRxZXKiPNAZ+Po7BBeS78TTJjAfRyDQdBggn+z37VFoz9zApd6jDnfdb+YLIX54rOax4xrTkyC7ttx1rrTb5zOq+XUZDTGncOJnX3e4ILNvAc9B/k/9SKP5xhSlmgQaBaJCz7HTgfuV6tVKQ2us6Y06NTARANm6mzuTMqdTTk/yBozNq1araLRaMCyLCQSCSwsLEhpAoIl6kUCLJ/Ph1AohEQiIYGbvAaZ6bW1NcTjcWSzWYRCIWGyycC0223s7e2J6yMSiYgLmiCMG0xOT09L7RDgmM0mm0LXPY04xrqwnIEO8tSMhKk/TX0LOLOv2vAz3ZJaZ2jm5EtXB8Nsmq7hu1ZEplVIgWAREo/HIxXamE1CIWTwIhX11NSU7DPCDXhcLpf48w4ODlCpVGQ3QGZSTE1NoV6vixV///59sSTpSmAAKf3XTJ1Kp9MYDoeybwhTQ1leNxQK4YUXXsDExISkTE1PT2NlZQXpdHokNoTWxMOHD0csPo18V1ZWRqwHBjm53cd7BDQaDUmdarfbKBaLAiB8Ph8uPNrwh6CJAMPtdouPlClUmm4je0R0TJ+u6S90ahRcPp+ZX66P00rseTa9oJrUMjBaLEsrbL3Aab+1qRC0ItcuEnMhM61+c1Gn8tZAhcdqlwpwwnhQ3ngO7X7RPlz9nQb5fNdB1yZI0NSyCSI0c+H0vW5OQMFJuXKhNJmjcSBDAwhzXLWe0sDJZGv0Ofluxp4876YZHQ0KgJOKxJqlBE6MIrJh1J88VyAQkOqbvV4PoVAICwsLsG0bR0dHYkTNzMyMsD+UQ7IkrGY8HB5vPqmLeWUyGbz11ltiRXc6Hdy4cQPr6+uyY6uuNbSzswMAuHXrFu7cuQO/3y+sbzgchm3b+PTTT/HOO+8glUphYWEBAHD58mVcunRJGD6mu/b7fdy+fRuDwUDWBhqJiUQCr7zyCrxer2zAyT7jnlHhcBiDwXH5hGAwiMXFRQkUbTab+PnPfy6GbTqdRiKRQCKRQLPZRDgcFgNDy9lgMBCGmYkLZKJNcGzqz3Ep3VpONein/JMFO609V4ABPI6mtDIx0ZFJqXKh1rS59vcxn5pRyYFAQKqm0afFwWLAJmMV6DrhZBkOj/OT9/b2JE7D6/ViaWkJwWBQUDknWbfbRTgcFqEIhUKS5up2uwWRzs7OYjgcSgGwRCIh+4TohbrfP96dj9XhGHxECyEYDGJubg4ejweHh4fiI+x0OlJvQ6fX0vogxTk5OSkBRXr3WAZDsVBXqVQayb/WiyWVFa1mc2FwcgtoC5hCq+VCKx9g1JJ6nm2cZczmNDn1b/Vk1uwEACmDTJaJf3Ox5O/1Ymz2temiGMdgaJBvurFMi13fv7kIm+9m35jWlBM7YTID417jXBDm9U8bO82iOi32JkigbtGKV9+PVuJO59J/f5kAhvmiDJpgjJ8BJywHF3h+RyNDu5O8Xi8ymQy63a4Eo09PT2NmZkYy7bShR2ufrmSmaDJLrtPpYGlpCdeuXYPX60U4HEatVsP7778vGXm2fczGsbJxsViEbdvY2dnB3t4ekskkUqmU7FkFADdv3sQvf/lLxONx2VX17bfflgBQGj4Mwrx9+7bEgPR6PQHodGn7/X6sra1JfB3BeTAYhN/vF8aY9TK63a6sNevr62i321hcXMT09DRCoRCCwaAYgjo2zUwV1uy9GSMCjI8P4/hpwMnjNcPEpufxae25Awy9+JgTWE9aDT6InAkudFYBhZ4oWFuDZC3o7uAgE00ySCgQCMDv9wva42I+MzMzEuA0NTWF+fl52VSN9ex1oazhcIjZ2VnMzs4iGo0KqmRxrm63K9dlqmsul0O1WpWSugcHB/jss89QqVSwurqKfr+PK1euIJlMSp/V63V89tlnI4E3u7u7uHv3LkKhkLiEMpkMEomEAKlwOIxKpSLCRYEPBoMS9Wy6jpwWVI6laaWNE0KTbjMtKR0kZl5Dp9g963Ya1a6bBlhOLiJ9Pv03lYHTuZ2uZS7YlAd+x34m62aCG4JUDTCAE0ACjI4Vz68Vl+ny5PHjAIaOIRm30J4G0M4DMkywZY7fOFBonk83J3BhAhAnkDEOOD3P5sSaaXeI0/GUGT3H6c5mjSLTCu50OpKSygWYWxlog4eVPCuVirh/GQ/HAHlu/9DpdLC6uipu716vh1gshpWVFUQiEVSrVZTLZRwdHY0w3a1WC/F4HF6vF/V6HY1GA7lcTgyxWCyGWCyGVCqFyclJfPLJJ5icnBTdTRY8mUzi6tWr6HQ6eOedd7CxsSHzod1u4+DgAF6vFwcHB6jVapifn8dLL70kRqzb7Zbdv/nSdTHoUo/H45iZmZHjCWbG6VQNAKnf9frKd60DeCzHhgY365poQ1bPads+8Sic1p45wDAf2LRu9WTU9JxWBFNTUxJXQQGlwNP1MBwOZYGnlV+r1UZiKbrdruzDwa16p6amJIiSncjt1lm8yrJOAkCZfsqJU6lUkM/n0e12JeWKe4hQAPv9Pmq1Gnq9nhTB4gY8dMX0ej1cuXIFMzMz2NjYwE9/+lMUi0U8ePAAlmWJ8FGxM7jUsiwsLS0hHA7j4cOHeP/99xGPx1Gv1xGNRvGVr3wF8XhcfKHME6cbhX7IaDSKfD4ve6fMz89LINg45c7x0tapjqEARuMseO+kY3WlVv5O52xrS/t5t7PAhQmSnWIQxgE183NzQTTPRwuGlo15b2Ss9Pk1cOdYMIvEBA5mACgwahDoBUW7sngc4LwF/TjXh2nxn/W3yaDo78ctlk79qAHEuGa6o0yAqBW/fnZe47yW36+66b5yCqJ1AsK6hg37gQCD1T35W/Zxu93G/v6+nMPr9aJUKmFvbw/xeBxzc3Ni2bvdbmxtbaFYLMrvWTtIlw1otVq4efOmfO/xeDA3N4eLFy/C7XZL1c29vT3ZQdrj8WBxcRFzc3PCBjNeotVqwePxYHp6GslkEnNzc6hWq3jnnXfQbDbx7W9/Gy+++CJ8Ph8CgQDS6TR+8zd/E8PhUKqCMuC10WhgY2MDk5OTcu6vfe1r+L3f+z1sbGzg7//+71Gv14XZKJVKstssdWMwGIRlWchkMpifn0e5XBbmWlfUHDeuBAhkHTh2wMk6y/WL9w1Asi65TtLY5LrFcaU+4O9Oa88UYGjFqpGUKbBEt3qhcrKUgNEJr89PloNuCy5WWrkAo+lYtm1LsA6PZRaJaeHROnS73VK22+fzoV6vo16vj5TlZqoSWZRutyvBlyz+xQp3elM2RvPSp+j3+5FKpeB2uyUNtdFoSLGtVqslbA7BFwFTKBQSqi0YDD6GUnUeO901jCQm0NJUGpv+WytQrUidFLZWYGQuqCxYyh0YXXyft1J+kqb7wvxfK2ktf+bCa8o2z2N+zn7WAAM4SUHVWSHaeuExOpWVFgyP4zzkQsJr68XZnFcaPJqWMp9TP+95LXsnIGYyEKcxEucdN6fzad1ijod5vNZN+phxgOpZNz2H+bceZwDCSmj63+xvJ0CpmTTTaDSvT31LVllbytRfPDd1J1lfbuXAQGmyEPpYGn7MbAEgm1zSqEmn0xgMBhKsyfPoitLmLtiDwQC3b9+WNSEajcqc8vv9ct90ww+HQ1SrVcnoGwwGwthUq9URg0nPHRboYpqrLjnAZgJWU++aBrzOCjMZYla55ovjoXX4uPkxrp0JMCzLmgfwfwBIA7AB/NC27f/Fsqw4gP8LwBKADQDfs227dNb5NAXEBUUjLg4uO4UPQqVm+ojoGyP6o3KcmppCIpEY8U2xc+j7omXHyTAYHNeIZxW3eDwu6aAMeCL1RF8fmRQGR5bLZezu7gpTooN8arWa+CE3NzfR7XZlx9VIJALbtoVS5KZnHEC6Wa5fvw6PxyMuko2NDXz44YeSbUKgE41GkU6nsbi4iHQ6jZWVFYTDYczNzcl+LNztMJ1Oy/gMBgPs7+/LM5IhYmAoAKnB4bSI0JKmb9AUUG2Jc1JQmfBvImMnn/dZAu3UnrYMj2Mu2KiouQiboFrLslYoPJZAVvtXteJm37N/qXTMVFXKt1bCBLJ6HvEYM+1PKyKdpkowaqbc6r/NANbzNhNonHaOcUya03mc5M/8exz7wfHT42SmWDuxTuY9ma6sJ2lPU4apH3lfnH86IJt1IZzYKDYyFwDEwqUMajkxXWzcgdSyjmO6GJjucrnQarUAAOFwWGI3yASUy2VxeTB+IpVKYWJiQupOcJsFxsfpLRM+/fRTfPTRR0gkErhw4QLi8Ti+8pWvIBgM4ic/+Qlu3Lghz9Xv9yXrsFqtYmtrC9VqVdw9f/EXfwHLskS3ZjIZZLNZtFot7O/vS0xFr9dDtVrFBx98gMPDQ9nldXl5GbFYDM1mE7u7uyNgniDp3r17uHv37ojbv1QqCSjTBp+OkdDp7DQMCBj0flHm2NI1TncJgZWT/nYCHE7tPAxGH8B/Y9v2Ly3LCgH40LKsvwfwXwL4R9u2/71lWf8OwL8D8N+e43yOCtrphk+bjKZFof2CwEnqERG5DhDV9Tc4sTT9R2tPp2PxcyrzZrM5YtlxvxKCGW1RMpiSLgmyHGQoKAzMomCNjEqlIkWwWGJcb5amXQZ8Xta9526E9CtGo1GJ8OZvOp2O9IXu80ajgUajIcyJKVQmk6SF1QQEppVqBo7pxoXMKcDQXHSesD11GT5P0yyFtvDYV+OsfHMh0i8NpJ0+M9PLeF6zYq5mDjlmGkzwGE2x8nv9mSkDuuaGk9Wr782UhXHW/WnjPe6787Ii45oJLrS+0WPK7zRI0e/6XE6M1BO0pyrDJrNg6mQNGDXLNq6v+NIAQxuEdK/xnPwd5Ze6iL8ls6oZOepfy7LkO8oZAzGbzSZarRbcbrdQ/H6/X4AQawKRKeGiquuAkFEIBoOwbVt0IGMlmNHicrkQj8clFoRBpQRvujZTrVYT0KHr+FBvc+4QXJh6wOl/02jRcmqCAj2Wpm7lMex37T4x3a7nBRZsZwIM27b3Aew/+rtmWdYdAHMAvgPgXz067M8B/H84Q7ApGHoQAYwIn7aOAEgAJnCyVXqn05EO1X4/YNTHRBqOyJDsAxupKj1YdCkwhUkrZqa3ApDoacYNWJYl7MzFixcxHA4l+4SLOxUvNx7rdDqYmZmRGv22fVyn4tatWygWiyNBRsvLy1I6Vqe1RiIRvPXWW1IHY2pqCpFIBFNTU3jhhReQzWYRDodlQ7ONjQ1Uq1Wsr69jd3cXU1NTkhJGa2B9fR1ra2u4cOECXn75ZViWJYCDE0yPKfuaC5xZ2laPj2WdbCFPgaVbiscTiAAne2rovHntljlPe5oyfMZ1RoCDjmfQwIKLE9k2nUXC/tDljtmfmtngZwS7ZOo00NbzqdPpjGwaqMEcg7tY9VYfY7pVTBA4DmBw3mh63WQ3KDfmudi09cv+Pc8Y8N0Euk9yDn2cPid1FRvP68RimM00PJ4EZDxNGbZtW/SYCVbpCiUjYW5Ipp+DepjWN5+d2SRkKrghGcEv2Wpa2vyOqZwsHLW3twfLshCJRBAOh8X1TJnpdrvY2toaOTetdDJyLC7I+7p8+TIGgwF2dnYkDo9ZgExJDQQC8Hq9mJ+fh9/vRzgcht/vx6effopcLiclAdxutwTg5/N5bG9vw+v1IhqNSgn1Xq8Hn8+HqakpZLNZXLt2De12Gzdu3EA+n0c6ncav/dqvSSxct9tFPp+HZVl47bXXcPXqVeRyOWxsbIhRy3mv3fWaleL6qrN6dL0MuploDHMecu8UXVVVy7UJbjSIHteeKAbDsqwlAK8AeB9A+pHQA8ABjqk7p9/8CYA/ASCBPLxZnQ2glQ8fjIKjAQDpIP5GPyQfWisrJ+uBi7n2K1NRaATHGhCa5ie9TBeLHgBa/BpM2LYtAj8cDuWc3AyHaUt8Fm7JfnBwMBKk88ILLwgj4Xa7Jdra7/cjmUzK9vBEnsPhcf2Nubk5OabZbOLWrVvY39/H/v4+9vb2xJ0SCARkY51SqYTt7W2kUikpbQ5ABFALn5PwahRuLg7aStaWCceIx5oLi1bIJlX7JO2LynAkEjnVaua7tujMeBJtuVNOgFGAQTaLikQrZA0y9P8mqANO+hs4cZHoDB3N1Jn0tslmmADBCWDwOG0omMDErCCqM8H09XSfmX/r/nYahy/KYJjjqa+tLTrNGDnds25mWvHnbV9UhgE8FvRLXcn7ItDQ1LupSzlvTVeZZiDIIrBvhsOhZEPwGvq6lA2mpXJDMm0s8j7oftDjEQgERP9SD9XrdQEvyWQS5XIZh4eHqNfrACAlDBKJhMhnJBLBpUuXEIlExODc29uTEgOLi4uYmJjA7u4ucrmcBHjGYjGpscH+IbAPh8O4fPkyyuUyfvKTn+D+/ftIpVJYXFwU10ez2ZQ1cGlpCa+//jru37+PUqkEl+t44zSTATKNbbr96RrRrBF/R32h52y/3xdgaQJnvX7qa57Vzg0wLMsKAvi/AfxXtm1X9clt27Yty3KcxbZt/xDADwFgenrapjWlg89oPekJq8GBBhSaaqbQOXUgP9OoiwpYW9jVanXEQmQnMuZiYmJCjj06OkKhUBABnJycFJfFcDgU1wZdKrT2OUh6MaDVWS6XRwIxXS4XFhcXBbEzfYqxEAw2Ojo6QrlcFsSs63WUy+URVw0pPFKM3KWVgsPCYryHubk5KQKzu7sr46RjK8yFxbQ+HxO0R5OGgUR6kTUXSl2PgfKgLWqT7j9vexoyPDs7+9gxJqLXE5S0p9Pxj+7pse+ofDWIYIwF/6cVqPuO1rGZqaOBgl5sdXq3BiJ6XpogQoNDp7E3QYQZw6FpcL0g8zMnxTVOrrSOcAIVWhmeF2Q4MRf6b5ORMoHiaXPAiVF50vY0ZNiyLJuLP40t9pNmjrnYUAaob/k9ZZXHaDljoS0CGW1QUHa1Fc3zUjcBEAOUgZlcBxKJBJLJJFqt1sjiTj1O5oWxRcwKpKXu8/kQj8cBQK5VKBRkO4lUKoVyuYx3331XsleCwSByuZzsIcJN1tzu4yKE6XQamUwGk5OTEreQz+fRaDQksP7w8BDlclm2oadrhsCJwahci7a3t/GP//iPKBaLKBaLaDabUguETA11sp43NGbNNRGABMLqsACOL/uMx9Ng5t8EJizdwNolp7VzaWrLsiZxLNT/p23b/8+jj3OWZWVs2963LCsDIH/Oc0nsAREWFzfS7HxAEylrIdcVKzV6o7LlZ1rBaAqfaK1UKglaJnrUwUtut1siePP5vJT+tm1bFmTGcbA0LRH67u6u1LrngBNI8f5KpRIGg4HsIOh2u2X/j0KhgFqtJoXCXK6TqGMK3czMDBKJhARldjod7O/vSxoWKU4Ky8LCggg2FaVOSYpEIlhYWBCKcWtrC273SRoZaXhzgTAtmMcE7dHkZqlbbTXpMrt6ArD/2VdmkOGTtKcpw3xm3cYtdNr642+0T1UvUvyNE4OhQYeO13ECZlQ6pltDX9uMIdAMlAYI41iKcQCT48Ux5riTpeB1daC2lhktO+NA2Lg+d+r/cZ+d1szf6s85Z/Q9OrEs+t28jycFPercT0WGOT7MYNP7ffDeuAjqGhdcjHmMmRqtLWvqCbpTKQv8Xgcoa3chC/wBkNgMpnRyY8Z4PI6VlRXZi4muE8a5tdttWJYlDEg2m5Xf6lR7DchzuZzsGxWNRlGr1XDnzh20Wi0sLi4imUzKtQeDwUiV6Hg8jtnZWVy6dEmCNuv1OlZXV1EqlaRcwcTEBB48eCAuCm6OyfWMdY+oZ9fW1vCLX/xC6oXoYpA8lmwF+5XNZIk5bhp4aSYSgGRLakDJ4HvNZAEQo/UsNvk8WSQWgP8A4I5t2/+z+upHAL4P4N8/ev9PZ52LzcmqeXQtUWrnmYSmAgcgwT46eNEMjjFRn1acPKcus81ATOBkoeRxenIAxwOh0bT+HQEVcGK1OyFQvSeIdjkw84NBRqzJT3C0s7Mjkb/c6Kxer0s/+nw+AJAKeEx5ZXExMivc84Tpqrxfvcurab1pwGD+D4zuZ6GtIN24cPI7czHTC+aTAIxfhQyf1k6TWW2paxqSv9OKW2fkUBZMEKFjLszrmlYMr2UCQT2WGnTo+9Pn4ecmKNDvOtaE59dxKFoOTmtngYzT2jj98SRAY9xvz3vvJkB5kt8b53qqMkzDTQNY4GzXFO/bib3iOSkvTA2lxU1WjOfgoqXd5Xohow5nnBxBgsvlEv2oGU0ta0xPZcYJWTm6BriXCdkN/dwEVay2rFP46VagHqeFb9s2Dg4O4HK5kEwmEQ6HhXlJp9OYnp4W3UVQRjB0cHAg60iv1xN3Cfe6YnKAzmxhf45zHWvjnPduAmftDTDHluucZjB4DR1GcFY7D4PxJoB/A+BTy7JuPvrsv8OxQP9Hy7L+LYBNAN87x7kE9ZGem5qakpvVFLjT9r38ve4odg7pvHq9LvUguKACo5NbW3u0qnkPWok7FRJhpDAFgjQflXaj0ZAd+yjsjGJmfEa325WAHh2YR3fM0dERKpWKTH5WCK3Varh79y4ajYZYrwyAyuVy+NnPfoZ2u41MJoNgMIhCoYCjo6MRv+L169cRDoexvLwsEdDc8IyAZWlpCel0Gvl8Hmtra6jX61JMhiV89bhocKb9r+xvLbDA6J4MAEY+pytAsyRaLjTyfoL2VGWY8nTaPWh50wqYk91p8df+bx3oSbaN/cM+0tbfWQsWx4iAXrMNJmDTLjDzec2Fx1xkdNCzOWd5HpNNOevez7KSTKXpxBQ4LexnsR7mcXocTXA4rl/M+/wCDMZTk2HbPtmniHLELA7uTcR714De7E/KkGYuyISQHen1emKkMOaG59PznSnw7XZbWF6y20ydZHkDl8uFQqGAfr8vmYJ8Jr3J2NWrV8WNQNdxpVKRgEqv14vLly+LW4ZxQdTXc3Nz6Ha7CIVC8Pv9aDabqFQqUv6chpnH48Hq6io++ugjLC8v4w/+4A+k4OPe3p7saULmotFo4ObNmygUCsjn81hdXYXP50MikUCn08Ha2hra7TbeeustXL9+Haurq3jvvfcAANPT03C73bIVvAYXOoPLskZ3p9ayS12t3arAKMtM4MVaUhwnskDch+sLMxi2bb8DYJwm/dZZvzfONSKYmvZ2WqjYtM/XpH30eWnls+y3ZkP0cQQRZkqfnig8Tl9LK2e90Gp2RAMUHcRG1wBRvTkx9eLBe9PuIk4i7RbiufTvhsOhuJwI3jhxOIkACLDgRCCw4YJGtsXn8wko1Bk4ut9Os3CcGA2zfzn2psI1lb7JmJy3PU0Z/jxtHBgxLQfN7GiGgu9O8nGexUrPHa2InIAG8PjuqeOexbymOb56vpvjrjMxThtP/blpoZ0F8E777qzvn/ScbKYcm3PDCcCcp/0qZFjrQY6J1sPj9CxliHrPZMC0Eal/pyl26nnzO8q5Zia0fNJyJzOrg5q1PgVOFkzOGbpQGCenWQ1ex7ZPXLbUm/pZdXyYbjQEeW6Cj3g8LiUGeA0NvBk/ooOcyRro3+g6QfocPI/TOLF/nPQvML6OzGnzg+c5L5P8zCt5cmDZUXoB1tYdj3e73UJxcYHUQsjfUPmWSiUcHh5iamoK4XBYEJ12kzgpNAIGLXDawiaoIBPBczPegjELzBCxbVvOSUTMZ9CxIAzOZCwGmQntOuJEY3qUFgCWGZ+dncU3v/lNuN1uvPjii0gmk9ja2sLW1pZMdvYzr0WKcHp6GqVSCQ8ePMDBwQF6vR4ajYakarXbbXg8HkH+9XpdaETtztKUPSeADi7UCyOFn0FXpN2ImLXv9gtafk+96UVTy5F2f5gT1VQCGpSaz6dz+svl8ojbjXLD/uT9aCVN5aznGVORdYVEE1joeWGCDfP5nf4+zYofBxRMFsT8jQl8eE3Ga+njnfqSf5tuUv25Pt6J9XAaf6fnNd9Nd4N5jefVuHDqWB3WzqGeoB7SiyFZWR5Dip9yBpy4Paanp3HhwgUcHR3JAq9lSy/amqpnHBmNMc0w0/BptVpoNBqyNgDH7AgLVzUaDUxOTkoBK8atEQDYti3xAzs7O3C5jrNWQqEQ6vU6PvroI9nCQQdM6uBUbv1OBqDVasn1/+Zv/gaBQADXr1/Hyy+/jLW1Ndy8eVNY9W63i3v37qFcLgtTG4lE8MILL8Dj8eC1117DcDjEgwcP8OMf/xixWAyvv/46er0eDg4OJGbOtm1ht7XhoNOAOUd0/SMaoebWD9p10+l0ZDdbbQxqgOzEwprtme9FQnSr2QszWl3ftKbciSZJp+kH5ECzgiaF0bJO6hGw050CBrWy1TEWwAkS9vv9kiPNKGTuO6LRPYWelB73MdHPSgpKD6pmKrRi5/0wopmLGACZiFycvV4vrl69ilQqNeJ+4g5+LCvOvmY6bqPRQKlUwsHBAWZnZxGJRDA9PY1MJgOv14tms4nJyUlUKpWRDANg1PKmQJo0Ob/TC6SpxLV/dpzgnlewn1Ubx07wOw1G9Oe6r3RsEC0oTnJaRPQ5mwDNvLZpYVB2CQhZiE2Pj+5L/TwmEDctoC/aTPDypH+b7KR+Bv230+s094nT/05N95UGHeMYHt1MwPmsG5kAHeukMy2cLFQuhpQlc/sA9odlWbIlerfbFfCh3UpmH/GdLmMuhE6MNbdHmJiYkO3Lee90JTIWzbIsiVvj8zJokoBmOBzKvGCBQ11tlPqMgJ5gBYDERhA89Ho93L9/H8FgEC+//DJSqRRu376NBw8eyIaW/f5xRc5arTaSVJBIJBAIBBAOhwEA9+7dw9raGq5duya7z5JlJsPMDEcNAnRWmakrNaDjGHPs+NLsvi5AxvYkOuCZAwwiLCIkChs7QgMKTZtReIk2mf5pWk/ytBgAACAASURBVCOtVktSeWjpEERoC5Dn0vUsgJNiXiw1TqHw+XzI5XLY39/HYDAQgWSdCE68Vqsl2wOz5gUnrN43hNHAiURipJY9F55+vy876Pl8PpRKx9V/OYG4IU08HkcikYDf78f09DQA4Pbt27AsS4I8dSU7nYXQ6/WEMXC73ZibmwNwLIR7e3uSdmsKrdm0EJuWmwZDPFZnBWm5oHIj66THlcyXZqSeZxu3uPB/DSxM1M9JzP7kO+WTG9HV63UUCgVhlLTSAE4WaFp6lHMdq0J6Nh6Pi9tMu+50My1KpwWXwMapORkNJpg3P9MvTc2bNKwTG2Iu6k597fTS/aitZ/0bfY5x46+bCXw0w2XKxZdBdrmoataWhhgXYdZyoC7lAkaDijrEtu3HXL8+nw/BYFD2P2q32xJXxkJ7AEa2HyfY4bn7/T5CoRBmZ2cRCARkY8nt7W2sra0J2Ha73chmswiFQrJvB+MdACAej4v+Z2wTrf7Z2VlMTExI7J5mWZidks1mEY/HUSgUsLOzMwIG0uk0QqEQcrmcxKlx/Xr48CHK5TK2trYkTo/PSSOC1ZX53I1GA2tra2g2m+j1erh48SImJiZw69YtyRTUblLNylPeNGtMnUkGg/pYs06mPuH9WJYlxih1Mw2eyclJYa9Oa88FYOj9Rqh0TEuW1BSFjQ9Pnxojk6ns2Entdlv22OD5dcEsrdS1QtZ0HLMsrl27hlAohGw2i0gkgvfffx9bW1uyVXwwGMT8/DzC4bAIe7PZRD6fh20f74pHpM+JuLW1NVK1LZVKIR6PywTmwtrpdFAoFKSuPgOmDg8P0W63sbu7K1sBLy4uYnp6GjMzMwCOAUapVBJGg1sQAyeuCk7EUCgE2z4uPpbJZOB2u1Eul7G3t4dKpYJarQaPx4N4PD5iMWolrJWmZl30/2y0TvRE4DG6Tj77k8qNY0dLYhxr8CyayUqYbhI9wfmuF2czRY+pucw6orLTu/7SUtJMmc7rpyxz0aArj5H0sVhMgKZm0/T9actRZ/Po+wZOmCZzkdUGAue1tohN0GGCDA0ktFvEjAnR/W4CWI6BaXhwbunFTAM+J6Chx/u0dzYNdEzwbNLLTr9/lm04HMLr9cLn88k+Q9Sn2m2tAQYAcRVogMHzaYBInVWv1xEMBgFArG/2L4MFKXdmVkmvd7yTdSaTQTKZxKVLl5BMJnHr1i10Oh00m00UCgVMTk5iYWEBc3NzMsZ0+QJAOp0W1wR30N7Y2MDU1BSWlpYQCASwubmJg4MDeQYGvbdaLVy9elX2GWECQTgcRiwWw9e//nUsLCzg448/FpcRcDxvHj58iLW1NZTLZXQ6HVnkyVJ2Oh1x1VC3ttttfPTRRygWi8hms1heXkY+n8etW7cAQACJaYDRSNdjoA0dzllmo2kjXs9r4ISxp97RsSh0M3Fdc4rL0+25uEhMCpIKTS9gOnWKx2hlZyo4dg59S0Rf2h2jJ7q2oonWOaGq1Sps20axWMRgMEA2m5UqcBcuXBjZJp7popri42Q5OjoaYTv6/b4E/RBRx+NxRCIR1Go1Qae0Vj0eDyKRiOyESmDFreEBIBQKIRwOC4jSio1AKRQKSaEtpp4Wi0Wpp88t6LkdMhE0EbPX60UkEhlRPPShcmy4WJjCbja9gJj3SwBBlolj7uQr/7K102h0vmvZNRc9Ag6dmaSzSHQhOGB0F1s2DcLNuiN6d13KrgkwyOw5MRjASe0Ak53RVp92nZnMhBOQcGIm9PM4fe60iJ+n782XyVaYYPksYGGOOYGf/n+cK+B5NsqIHg/KJoEG2TSyE1z0te7kwqTdJFyI+v2+FPxjoDiz+ihrdHvzvHrho6EXCARQqVRg2zaWl5flM1YdZoZKtVqVfZsIPggG6HY4ODiQe2I2YKvVwmBwXOWTKaHlchkAhP3jlvONRkMAAQtz5XI5TE1NIZ/Pi77Xwfm2bYv7hGXHB4MBUqkU/H4/5ufnkclkMDExgZ2dHfT7faTTaSQSCTGyPR4PUqnUiCuVblPtrtbzEMAI+NBjr2WSuofjTP3Lsed46gwgrcu+VDEYFE7tfwZGfVrsAPqfXS6X+MKYNsrfa0VDX1EgEJCsCPrg6AdkLASvR2uPmRRerxe5XA6bm5tSbjYejwuTceXKFSQSCXGDtNttPHjwQIIeCVRI1b377rvI5XJYXFzE3NwcotEoLl68CAAolUro9/uYnZ1FIpHA+vq6BPAQBUejUaRSKSSTSdlZ0Ov1jhSSWVhYwNLSkuzqykF3uVyIRqNYWFiQaGa6aHZ2drC+vo6dnR0cHBxIbMfLL7/8GFNSKpUQDAYxPT0tixPTWincHFuCNTNIluOqG8dVgwy9uOq0TNu2xdLhpPsyNXOx0+BXL8R6AdOAgn5UKgwGbnHTOaa2adcE5ZbZQMBovJIZ/8OddllQjecAThSRrnVCAMl3joOed+Y4aFZC73fixFyYcVcaZJgK0fxc97cpV06gwonFMBmMccDCCVScBhYIMgi2x4Gk59k006UBBoPkgZNn0zt5NhoNYdr0flAEFywW5fV60el0sLGxIUHv1FuM9aLhEggERiosU14zmQwuXLiARqOB+/fvw+1245VXXkE4HEY6nRZ2jwzf5uYmdnZ2xC1MXcTKnLOzs9jZ2cHDhw8RDoeRzWYxGBwXzOr1erh06RJWVlaQz+exvr4Oy7JkWwbqS1ZN7na7uHv3rrjSj46OcPv2bdy+fVuACqs7U3exiOHc3BxcLheCwSC63S7eeOMNvPzyy/jggw/wZ3/2Z/D5fPjOd76DmZkZfPbZZ1hfX0c4HMbs7Cza7Ta2t7dFL1SrVWEX9Pzg3DJd2tqw41pMlgI4MVBY4I96gzrG7XajWq0+NodOa8+FwaBAmkpZ/60nvUlBA3js98AJMicqpkLmgsc4BH09nTrKDqcfjYs90Tyjlm3bliAhLpI6toMDTJRZr9dRKpUE2WvlqK1T8/k5wCw1q/PV6dogu8Gd+0hP+v1+maw6tUk/I1kiChRwsvDrlFaPxzMSaOhEQXNMnMbT6X8+P78z/eQmQ6Wpvy9bO+2exlnP5oLl9PzmZzqoUx+nm2YMdH0ZHQdBOeG7vgbHULMQtj2ateHklmA/jHudFU9h/v6sfj1vM/WK07iwP/Ux48DFaefV8jwOXI9zrT3LpilzLkImaNT3b46bvn89L7V8Eagy7kezFSYTRp1Ni5mgJhwOy7UIxFutlsRW6Bg63rPOzjNrGzGejnujaNeMXjTpPteZjsBJpkqj0ZBKntTtLIxFI4xsOOcO1w7qVd63z+cTZodGBHUsgRzZdQJW071ojgubk57RMqCP08do4K0ZSf1bc66Oa8+FwdA+Yh3goo9j0+4NHbdhPphGi8zwKBQKEhfBAWZ1NiK/eDyOQCCAg4MDVKtVlEolQWmsp5HP5xGJRMTnaFkWEokEbNtGNBpFr9fD+vo6NjY2EAwGkUqlEA6HxfVwdHSE9fV1TE9PC9vB+83n8zK54vE4Op0O8vk8hsMhZmZmsLCwgEQigXQ6LUVo2u02QqEQut0uZmdnMT8/LxN1MDguCc5dAhkHomnQfr8v/cTa+sPhENvb2wJUlpaWBKi0Wi2sr68Ly8QxIDAjIKPC4CQBThYqs3aDBiYEV1xEOTEt66TWhy6Gprc7fh7Nyap2uh+T2dCf6z7QvmcdI2CCLf3S8StU7NoFwrml3X981+wC8HgdFy4ABOhaiekFyImVMtkKHYPhFORp9su45qQfxoE2p3PpPtcMqqaz9TnP89m4e9RU9biF+Xk2LmyM86GhpBcWU/44F7W8cvddyhgNKACoVCpotVqyYaLbfbxnh9frRblcHpF9t/skwJxyOzMzg7m5OQQCAezv76PT6WB7exu9Xk/0NABcuHBB7te2beRyObjdxwXDZmZmMDk5ib29PRweHuLixYv4jd/4DWxvb+PDDz8UFwoA7O3tIZ/Po1wu4+DgAIFAAJFIRIJLY7EYMpkMlpeXUS6XZc+Rw8NDFAoFJJNJvP322yMxZDTIOB917SS6KSuVCh4+fCjsdafTwfvvv49IJIK9vT0Ui0VxpwwGA4nBGA6HCAaDkrJLQMI1kLGKBGOc6zpLkePJea330aJeYSNg5Bjx9aUK8qQAmzSp/t6pmZYr6S9z4g+HQ1G0HEgtfE50EVFnr9eT4DqzmBGpPSonAiQ9SAcHBzIwpKzILuRyOdkkrVgsjqQJ0g3k9/sRjUZHGJBgMIhoNIpwOCx7gZCFoRCHw2FB+jq7YjAYjARNmgqYQapkOCzLkswU3nswGEQsFkO5XMadO3dQqVQE1du2LcFGfCei5rX0gmTGUGj/oLmoOVlP2of/ZWUydOPzn2ZFmBajE7vhdF7dKC9Obggz5ZBAXfejbnr8tFXI/50WUCeryIy90O9OTNTTHEsnVsdpDMaNy2lgYty4aL3ipHBNS+/LILu04Kl/dOCuU/8Bjz8HmQdzTg6HQwEvoVBo5FiCY60DCAg0W0D3Cd0mAIQ54KJKI8nlcom7ka4XMiAu1/EGkbZtY2VlBZcvX5ZjdUEvZm3UajVxsXBc6VKkoccgTwaTNptNCbK3bVviOshiMylAu3c5b5kW22w2xQDP5XKo1WryebvdHgEKdIGyr+ni0DGKWp+O8xSY81CDSX2MZrp4DzqQ+7T2TAEGqSG9+DN9RysgALJwmYLPDtKBLObiSgBAtwJRGX9HEKIRGGML+v3jsszRaBQXLlxAPB5HPB4XJmNvbw+NRgO5XA4AMD8/L7ugrqysYDAYYHNzE8PhEHNzc7IZWTabRSwWQzabHdkoplAooFKpwO/3IxaLwbKOa9e73W7JUDk8PMQnn3wi7hRODlpf4XBYcqSbzSZWV1dRLpcRCATE97e4uAjLsjA7OytpWwQxqVRKJku1WkU+n0elUsH09DQCgYAAN73Tny6vq2lPKi6mleqUJ1NBcdx0No+2gijstJ7IYjxvgGEyGOOownEWtZMSBx7PwtDBxGR2+HtWWSUrZ7rFKN+6YJFWCk5BYfpzk8LW7JNJp+v7NwOBzSwSjrM+dlwfsp+0UtZ9abqQnMCakztPA1nTHXcamDCf13x23iPnlumKMgHaaYzNr7INh0PZr0j3i75/jo1t2yM1eniMllMNWMlc0gXLoEnKAw0argF6nyfdV81mE7VaTQw7y7Jkc0nGcaTTaVy5cgUulwvvvfcednd3MTExIQGRzAphIb8PPvgAH374oWTQuVwuJBIJuN1uHBwcoNlswuPxSFosjSztotjc3BSGm7FrwPGiu7e3J/tEeTwefOMb38Dc3JzETOTzedy8eRODwQCRSESqffp8PkSjUbz99tuo1WrY3t5GLpdDLBaTeA66cpgAQL3ucrkkKYFxPwQDtn2SPjwOQGtj3Zx/ZPFNcKzXzi+Vi4TWvQYHwElglFY0+qFNxQGcICuNmonWKPgMTKFy5DUIQFiHA4CgQgZSMj01mUxKkBL3Gcnn8/jlL38J27bx+uuvY3Z2FouLi7hw4QLy+Tw+/vhjARzRaBSRSATpdFpABHcy5DPU63XJ+GCONSk1j8eDBw8e4F/+5V8AQOryU4iCwSDS6TSazSY2NzdRLpfx85//HFtbW8J+zM7Oyg58s7OzCAaDslcAn7/RaMjurYeHh8jn8wJyCDDoWyW1SHeXmTaqWSOTytfKlYCE46kXbtMy1gDjLFruWTQnNwkwatXrZ9WL2bjzma4FUs+WZY0E1AIY2Q+A6af055K+1G4RcyHQDIb27dLK0taWnp8mY6jbaQBDM3NOAZ5OAIMLC5u56J/mQnJ6OQESzbDp98/TzGcx2ZvzgMxn0ZiCafajXuA1pW7uC6VBCIECj9eb8pEhYap9JBIZAbw0MLXe5vlZkZPghgsbDZ5yuSzVQi3Lwk9/+lNsbW0hm80ilUrJQm1Zlmyj/umnn2J1dRWxWAwLCwuySE9NTUnGoM/nQzgclqKKPp9PgqNrtRp2d3clAH1iYkLi31qtFvL5PJrNpmzrvrS0hNdffx27u7vY3d1FsVjE3bt30el0cPnyZUSjUdTrdckE/PrXvy7u9GKxiLm5OczPz0vsCcuK27aNSCSCSCQiFU21LtVxJFxHdeallj2uh1ru+f1gMJDaIDw3mSg9r09rzxxgmEjfVC66A0z6xslXTGRJ5MzfMj2JCpouAwBSB4KdxBRUugRisRgSiQQSiYRMCgCSQko3ynA4RC6XE4s+mUxiOBwiGo0CgEwul8slaVWcrETQxWIR+XxeFhCmdJEi5E6C/D0pQZbUpa/Ntm2hBGdmZjAcDsV9MjMzg5mZGbFwXS4X8vk8tre3JUKYhXDq9brcUyQSkcydmZkZRKNR2WSHwE/77PjSqVpa8J3GWytjbUGbk8CkYM+i5n6VzekZnNo4Sl03HQuha1lQxnUqms4iof+bYJgb6dFCJFPIl7moj3smHfiprVjtCtPj4PQsLpdLmBenoFKTsTrtvpxS4TQYcNILJqAzmQvNxjjFYIwbs9NApclcOAXi8bwm2HgezYm1AU6eTc9fEwzxuWz7JN2Uwe9kjMlWAxDXK3Ai43T/ZjIZcSsMh0NZvOgqsG0biUQClnUcvE7dSMOPAZXXrl0TI5AZcLxvMrMAkEqlMDk5KdU9p6amZKOxZDI5whQeHR3h6OhIXMn1eh3lcnmkL5i1wgB8xrdNTExgfX0dLpcLBwcH2N/fx9HREebn58W1zUQBAqlqtSoxerFYDPPz87hy5Qr29/exuroK27ZlszMGkQIYKZil2Tkd5Mrx1CDOzOZ0MvJ4De1epcyY7hen9lwKbfGmTIoUeLyUqVYeOsqXncwFWAsUA5AoMMFgcKTGAtMvyagEg0Ghomihh0IhLC8vS8QxQUGxWJSoYaYrcVKkUim4XC4p+FKpVFAqlRCPx5HNZiVNlG4OUm537txBNBpFoVBAMBhEtVqV1FIidtbiyGazcLvd2N7eFuqRm+UwlbVeryOdTiMQCEiwE+vcM/Do/v37+OyzzxCJRJDJZDAYDHB0dIRGo4GtrS2sr6/D5/OhWq0iFAphZWUFExMTwnLkcjlsbW2JIOsFxMyjBk5SIp3iKMyFULvGtNvLBBnPo5lgx1xo2Exr1bQQ9IKka7VwQSXzAJxE0GvQTcU4NTUlKcR0j3BuuFzHsT10t5zlM6Xy0cyTyQA4pXjynrRbwCyN72TR6zE1mYpxrgn9nQkaNJjQAEJnC5gbA1LxavA2rjk9h/mZZp8Y26SD0rXSfp5t3PzhfWojARiNxdFMF9nMYDAI27alqBTlcTgcChvK7QYAIJlMIpvN4sUXX0S73cbdu3fRbDYRDofh8/nQbDZx584dxONxvPrqq5LO2u/3EQ6HceHCBWSzWdmL6Xd+53fQbrfxox/9CD/+8Y/FWCNQ6XQ6mJmZwZUrV1AsFrG5uQnLOk719/v9+K3f+i289tprODg4wOrqKkqlEj755BOphMy9mGq1Gvx+PxYWFjA5OYnDw0OpHDoYHNc84i7V7777Lt5//30cHh7i6OgIMzMz+NrXviZbLpC9KZfL2NnZwUcffQTguDBYMpnE1772NXzjG9/Ae++9hw8//BAejwcvvfQSgsEgtra2Rup16DpSNH7JFulgT7JHwEngpnaVaH1Eo5O/07qb1/nSAQyTPnYKNDGF34mO1efQTXcYz21mHTAGgxagppU1cmd8CDMrmD7Fzb+oiE36lwNIXx/RIP2SwEnmhK62SMXHc/R6PaHG6IYgOtbXGA6H8gxut3uk9Djvi7/XpXLL5TIsyxoJLqXriJYBz0PLeGpqSgLDNPDTita0HrUbxEkW9HjqcdMLz2lW7vNq+t7GtdNocadnBCCUJxcp3accD72vCBWJpi6pKPQieJ7+M+9FL+Ym06jPpRkQLXdO7pDT3CNOlv04dmGce0T3tZOl7uQ6cTq/fi5zDE0WwomV0/3B402A+ryajm0bx8SZ42uOuf4cGA3k5oKlgwOp8ygXBCjMtABOGA66WbjIaR3Dxa3dbot+ZUwa+5z9Tv3q8/mQTCaRSCRksdVBro1GA5VKRSpuancsdRwASQrQepiMDAso8ty8H94rK4GSQe92u4hGo8K06xiXiYkJdLvdx9gfukGZ9cO+1EaB07wERg0bjhvPYTbzOCe5OI+RdybAsCzLC+BnAKYeHf9Xtm3/95ZlXQDwlwASAD4E8G9s2+6edi5SanrwSa1pi0IH/Zh0p7mI6+qGbBRG+p9YpInnj8fjImzZbBbRaFTKNddqNezs7GBqagrNZhN+vx/Ly8uIx+OYmZnBq6++ilwuJxknXHjT6bSU/GY089raGvb390UIE4kElpaWBExYloWrV6/iwqNdB3d2duDxeDA/P49IJIKdnR3k83mppcGYC6battttrK2tYXt7G5lMBt/85jcRiURw7do1eDwe2U2VqVCc1P1+Hzs7O9jZ2UG325XqogsLC2KZBAIBLC4uCuDQacUULrpPdLbKOIXD8dTCTEVk0rBcQLWQ62s/Kb38NGWY96ffnRYL3Qf8fxygooLg3/rcOiWQbgv2B0ElLSydZ69jOTjfzPswFYQeH/Ne9YKsFyeTweC19X04ucgA51o2Ttcz71vrhHHuEfOl0y7NVGkTZIwDT/p/szkBLG0Ral3m1PfnaU9LjslscVFmrI9myjjX2CdmH7CuBJ+NLg5az4yB09tC0GLn7w4PD3F4eIhAIIBLly7B6/WiWCxKRodt2zg6OsLf/d3fYXJyEq+99hqy2SyKxSI2NjZQqVSQSqXg8/kkLbZer2N+fl4YK6/XizfffBPRaFR052effSbVilnQ7p/+6Z9w69YtpFIpLC0tIRQKYX5+fsTAS6VS4obk1gt0vb/22mt48803sbGxgb/+679Gs9nE3NycuM0rlQoqlQreeecd6T+Xy4VvfetbePXVVzE5OYnV1VV0u11hzT/++GN5TrpCI5GIxOppFp8xL7quhx4/MnyUUW2IE6xoY5HfaUOasswxPw8Tdx4GowPgX9u2XbcsaxLAO5Zl/QTAfw3gB7Zt/6VlWf87gH8L4H877USm0tAWr3kM/9YT0bQQzGNMQGJSsew8BgtFIhGhlek66Xa7qFarYhmy2AlwvDFPKpWSgEkOLt0srCfBe+HGaxx0AFhYWJCBdLvdEuNh28c53JOTk+LaACABPhR0c5Gu1+vY29vDxMSEbJ7DCGhuvc7y4BQSsjO6HLDL5ZLJwwqizI7RiNX0a5vj6rQwmWNoLnbaD8imrXnzmT9He2oybLZxFi7gvIho2Td/r4ELFYEOwKLiJgAzXUra5WjS+E/yPE7/n8YQmADDZDCcrHuna41rp12b/WLqkCc55zggo/vACXiYfeTEypgvrZs+B8h4KnJM2dKB2Fw0CDCc4kZMdlL3jXZT8ZzUh1zQtG50u90StAhAdChLeRPkcE8mUvY0UhuNBprNJsrlsmSqkB1gNeJGo4GpqSmkUimk02lh/MLhsMwjGpbMwJuYmMDi4iLcbrcs9OwXxtkx3sm2baknkkqlcOnSJXE7MMiSxpnP55P7ZF9wbjBWjnsK8ZrVahWNRmOkgKN2c2qmiH3Oz04b+3GMht7riMdqsGH+/jztTIBhH1+t/ujfyUcvG8C/BvBHjz7/cwD/A85QzlzcjfOPWBN8CD0RdZAlj2P5b3YGj+l0OrKVL2msaDQ6EgTHmhOMDyA91mw2sbe3h4cPH4LBOcFgEJlMRorEZDIZodx6vZ6U6I5EIrIlOq3OTCYDyzquL9FsNiWQiDXzbdtGMpmUglc6dWliYgJzc3OIx+O4d+8eVldXJcc7FAqJb7Lf7wvA2N/flz1EAoEAbt26hV/+8peSLx4IBHDlyhVEIhG88soruHz5sqSparrv6tWrWF5eFldKrVbD1tbWiOXHXHGOoQkk9GKjF0BaS8DJBGGkuk5ZNf3bGoE/iYA/bRlm09a3OWFNi5jPqu5H/nYCKHoBIMDgebV1rK0JNioufV0qCRMYnrbYn7aQjgMspgVvAgzznOZ5nJSjE2A9L5g4bQF3el7zvOa4Op3jtP7Tc0CfSwPIJ2lPS44Hg8HI/KXly3fKkJ5/vHe+c6HnZzSg6E5Op9OSopnP56VA1mAwQCgUQiKRkFICdOHm83ns7u6iUChgeXkZb7zxBvr9vhRMDIVCqNfriEajeOWVV0Ziyuji5v2w/oRlWVhdXZVCh4lEArVaTbZ5Pzo6AgBcuHABi4uLcLlcUqWTzAvdxfPz81hZWZGtFDqdjuhsANjZ2UG5XJZ9RO7du4d79+7hpZdewve//33U63Xs7u6iXq+LPi8Wi7h16xaq1SquXr0qMYC2bctO2zs7O7h9+zbK5bIAlgcPHsg+KDSQOVY6A5PjSUaKhglLCVBW9fiSdeJaBpzMTcYP0kV7VjtXDIZlWW4cU2+XAPyvAB4CKNu2TY5kB8DcmN/+CYA/ASBVJc+yfk2LgUpUL3CWdUKtAyc+RQoyKWVmTnA7c1JlyWQS/f7JluiNRgP1eh1HR0fY3d0FABSLRYRCIdlmmKlLtPABCOrkFttkJvr9PhKJxMjgMj3U7XYLko1EIpiZmZFUJeDE5ZBMJuFyubC5uYmjoyMJuAmHw/jt3/5tXLp0CTs7OwiFQpiYmECpVJJCWT6fDxsbG7h3755ESUejUdkwaHp6Wop3cQ8T7o+STCYRCoWwu7uLO3fuoF6vY2dnB51OR1K49NbGehw1c6QXGg02eJzeNEm7x3hP2vrhNXjOJ21PS4aZXnxeS3wcOwecBDE7LU4myNK/0bS7XqSdrHH9ubacnUCR0/M4WfP6e70w63F2WlzPcimZVr22+p3u5Ys205pzuqcnBbM8rz6/tgTN636Oc38uOdYyDACtVktitjQDoWudAKNA2uwjHquDk7mAsYYDN3Ck+4I1HOLxOBKJBBYWFtBqtXD37l1UiwZNvAAAIABJREFUq1UUCgXkcjmsrKzgq1/9KgBIbMTu7i6q1SrC4TDi8Tj6/b7oxGg0KgUTyRh7PB6pAMoqmYz74A6v1MPpdBorKys4PDzExsYGhsPhSBVhy7KQSqVw+fJlKQ/ebrcl9sK2bRweHqLRaAiDwl2t33jjDXz7299GuVzGgwcPcHR0JGCrXq9jfX0dU1NTmJubE/d1u90Wt/zR0RGKxeIII8+013g8jnQ6PTIHdYC8Zqk0C0IQ4TSfdWaVaYzQEAQgGZqntXMBDNu2BwBetiwrCuCvAVw7z+8e/faHAH4IANPT07ZeHLTCMX3zpl9ed5j+vabvTL8zFzefz4dgMDiywQ8ROyulEQj4fD5EIhEMh0NxkzQaDRwdHYmbwrZPNm1jHIOuWxAKhSSmIRaLSbAnXTJUpsw0cblcQvdxctLKt+3j1KQ33ngDwEn2AOm7ubk5vPHGG5icnJQaG8wcWFpakvLirHtBerBer6NarQqVORgMxJ3TbreFtXjw4MEItadjXwiczCwSvQhyUlDQNUg0rR9tjfNcPEbndlNmnqQ9LRnOZrO2aZE7MRAO53jsMycGxOkYJyueVgSBmmWdlNLXFCznCH2++t6dFkLz3pzuZ9yxGkxqC9h0kzj1jb4XJ8Vm3pNJ4zoBEw2mTPeNqVc0yzMOVJn9dZ6/ne7fBE5P0j6vHGsZtizL1sBCy4XJQPGl75VGguku4XePricB5Rwb6tVAICC6mPqmWq3K7s7MGNnc3JRg9263i93dXRweHiIajaJWq4lbm/p8amoKBwcHODg4EIOStY5o8Pn9fqkbw3kzGAyEBeZOrMBJLB/nUz6fx9raGqrVKh4+fIh2u41YLCYxEPV6Xdzn1M3BYBBHR0f4h3/4B3Q6HXHlDAbHO7g2m03s7++PgFACMZYQ7/V6eO2112BZlsQscs0iqGL8DNl9vf2Alj0eq9kLc8y5tumx5XhrvfzUs0hs2y5blvWfAXwDQNSyrIlHyDkLYPes3/NhADwmvBRyTeOatDs7ht9rgMLOMaPpJycnEQqFRqJ1KTQs08pt3QkOpqenZYA8Hg/K5TK2trYkvoH33el08Nlnn6FQKGBmZkYCPWOxGPx+P1566aURJdNqtQT58rlZy57R0rpWBe9haWkJKysraLfbyOfzACBMyMrKClZWVkYocQZJeb1eXLhwQWqCuN1uobX29/elbj8XKgo+J+D9+/dx48YNoeo5dtpa0da0Kax6kdH0q2YuqOQ0AgdGLScdPEar4vNagF9Uhnlt86UXPJOad7LAtVVvKoHTFiR9DoJtvQEdGTTtq+UY63NoUK/nkdmv4xZMJxbHXMT1IuV0blN56c9OO1Z/TwDh1Gf6uk4AwxwDk1XVfaDPZ747AS6n/tJg5zTAdZ72ReTYsiypo6ALuLlcLnEzmM+odbGOX9BVI3leso403hjYzzLbqVRK2GxmWORyOQEY0WgUjUYDt27dEoOp1+vh7t272NnZQTQalf2mKGcs5rW6uooHDx5gcXERS0tLCAaDmJ2dHXErslIzn5lsw7179xAOhzE9PS0uduCk2qhlWVLb6NatW+j3+3jllVcEEJVKJQyHw5EaHc1mE1tbW7hx44bEt/E+QqEQisUitra2JB6FAGtiYkKMu69//ev47ne/C8uypDQ5x63X64nbghmFZBm0oUGgRWCix4xMFgNHaUjrmBoz7obr51ntPFkkKQC9RwLtA/BtAP8TgP8M4L/AcfTy9wH8pzOv9qhp5kE3c1I7KWaTftVWGhcgvU8I0Xa/f7yLKM/rcrkkCLPVasHv90sQ0PT0tIAZLnQMsOQ9MACUG+/4/X7Z8p0CwAWAoIHX7vf7KJfLqNfrI8F5/D3RYbFYRL1eRyKRkMJFpPbIgGjrUAcD2rYtAaNkZrjQ0x1ycHAgFUTJZPBcerdV2z4u4mVu2MNxcrJaNejgGJpKXI+7aZHyXBp8OFmX52lPW4adFhD9LHpBOes8pzX93OPqNFBW6IPVdDfHYGJiQvLk9f2f5R4xwYVpyTotopqK1f+PAxj6HvQz828n14LJbpjPY36nF0v9Mq+ngYbT2JjPMe4Yp//PKxOntV+FHGsXlmZwnMaFMmayRQSwBCpcyKrV6khZbuqNVqs14lahgcd4I1rXPCdrlzAwXdd1oBHIxZvsrW3bqNVqI4WvmGWld8dmpgcDHMl2A5D7SCaTstlYoVAQ9xJjAKkjeQ7qft6rXqjZl0w9jUQiiMfjKJVK2NnZAXDidqehCECuzz1KGo2GsOl6fHSsmumSNBk6E/xr2eYc0CENPK8+31ntPAxGBsCfW8e+PxeA/2jb9v9rWdZtAH9pWdb/COAjAP/hHOcCMEql8mG0708LH3BiqVGAKYwM2NQLYjgcRjqdlmt5PB6xzLmgc9+RWq2GO3fuoFarYW5uDtFoFMlkEi+++CKGw6FE8FarVVSrVVQqFdj2cfEoVrnc3NzE7u6uIEXWyACAXC6HdruNK1euYOmRu6LVaqFYLOIXv/iF7Nrn9Xrx4osv4lvf+pag1Eqlgp/97Ge4c+cOrl+/jjfffFMKgjG+RKNR9iOZCCJuukRYz35vbw+1Wg03b97EzZs3kclkcP36dUQiEQn6PDg4QLFYFH+m3+/HCy+8IBSnbdvodDpot9sjyFenqwKjPjzeG8dZNwot8885PgBGtrLXz/qE7anKsLlIURFrtG8+n9Nk1J+bIIUvHZ+iWT29gBMI6z1HaLFxbKgIGQynlYt2T+p70crEzFQB8BiY0MBQ79h6mrU+jsXQz0qQoWvUAJAFz1z0NADR46Hr4WijRL9r/7M5ZhqwOLEYTqyOuYhrJuNztKcmx3QJ81koYzrNVMs5KXgAjxkSXNxp/TJgk7ufsuIwA+tLpZIU54rFYrBtG7FYDIFAABsbGygUCshkMshms+j1esjn8yN7ktCtwjoRwWAQ3/72t3Ht2rG3iNWTb926BZfrpIYPgzyPjo5QKpUQCoXwR3/0R0ilUiiVSqjX6+KqrlQq+PTTT9Hv9/H7v//7eOutt/C3f/u3+NM//VPR1z6fD4PBcYFCHb/CvqxWq/Ls6XRaGHLuvt1sNvGHf/iH+N3f/V18/PHH+Ku/+iv0ej1JBCALxLpE5XIZ//zP/4zd3V2pj0HDFjhhWhiUyqZZYr5zDdWyzGPJKnFcaZCyLpQuVXBWO08WyScAXnH4fA3A62dewaGZD/XofI9ZsVq58HPTUjKVFwWe56OrgYJJK14zGLVaTYTf5XIhHo8LMu50OuITI82vUSqZEb70zquFQgHNZhOZTGakeiCDk0qlkuwWOBweB3zati2b11QqFeRyOWSzWdTr9ZH9JShM2vVA5aDBGp+fkcO832aziUqlIqDBsiyJ7aAAkdWgoEWjUSmMo5W7ubjoMdWMhdPCa/7Pc+lI6HFW4Xnbr0KGnRZh07o/7+/HNQ1YdMCWtjA5R3iMTl0lEKHS0KBEzylt+Zt9rinycSDJZAv0/NRuGLOf9EKrr2FaXFoXaJ3gdG3tMhl3b7w/nfOv74t9bt6vEztymnw6jfHnBBa8j6cqx+yHR+cYAVomYDb9+Vyk+PwaeNL4qdfrI0zw1NTUY7FUZJn1Jmi2bY+4c83ra+DN++U5yEKz3AD1/eTkpFD/1JNut1uADIP5y+XyCNttWRZisRjm5ubg9/vFjcH6M9VqVXSxDpokS9FutxEOhyUQX29t0e12EQwGkc1msb+/L64WMi40GDjPu92u3COfQwdammuoZiP4Pd/1fFByJONN/a7j6PRLz9PT2nPZ7EwHipiTmoJHQdQdpRUkMLpVLX1GTkW6uHcGUW8kEgFwXCOfu5kOBgMcHh5KOpJlWSN+/6mpKfFteb1ezM7OwraPS+POzMwgGAxKVsbR0RF6vZ7svLq0tDSSxkUajn5IPv9gMJBCW8lkEteuXUO320U4HEaxWBSGxuv1yiLP7JdarSblby9duoRYLIb19XVsbGwgEAggk8lIsGc6ncby8jLa7bakXnm9XnQ6HQlYTSaT8Hq9UkJ9bm4Ok5OTKBQKUntfVyWl4jddI1T6pqCyaSZmnFXIBdO27cdYkmfdxi1e/M6pjaMSKaN6YTQteipSXYiOCoOLJPuJIJJZTLr+C92GWrGYi7TTc/L+tAtGf28u2mZwoMn06D7hPTgBDt0HPJbn0M+slaUGH/pzE/hoKt9cWHVdGM2+AY/HqjgBMf3/k8jCs2wul0uCxE23kO5TACOg1umZLOuYPS4UCrAsSxgMBndqmdUxFsFgUNwogUBAtkLwer2Yn59HKpVCo9EQnav7jQu03+/HxYsXMTk5iRs3buCDDz5APp9HPp8X0OP3+3HhwoX/n7s3iY30TNPEnj8iyIhgBGPnTiapzFSmlKmsKqkWAdVdg3I1eg72wL4Yc7BhzGGAvhowDM/MzTBsYHyyfbLdaB/mYrRtoBtt1KHaRqGqUVJLXVUqSZVaUsqNTO6MhbEvjOX3gXpePvHpD5KZlZ0p+AOIYET88S/f8r7P+7zLZxU8ycKw1AAzV+gCZ+BoJBLBm2++iVAohP39ffz0pz/F7u4uXn31VYxGI+zt7QGAPS/n1vz8PL73ve8BAH7xi1+gVCrh9u3b+MEPfoDj42N8+eWX8H0fuVwOyWQSm5ub+Ju/+RscHBxY0OvOzo4Zj+yHd955B4PBAKurq8jlcnjy5AlKpZLVcaKBSHcNmRPGw7jGj8oXAu0gucC1QmCk/UOm/rz2wgGGWyiEn7O5rpNJApyojn4oKlz1VbMjeQx9gp7nIZ1OW+pUvV7HaHRaxXN5eXmsFDaFFlM5+Qwsx33lyhXz2XHAuCEaaTe6aABYWWf6AxVsEVWTllpeXka5XEY0GkWzeZr+zrQvLloyIaVSyShBppnu7e3hww8/tEqlTO9Kp9OYn59HvV7HysoKlpeX4XkeKpWKbQDEqnFXrlwxxO77p/uxcPKqdcNnoILTxr5UBcTxoYUTZJHqb5UhmSS8X3Rz5+ZFQGPSOSa9D2IwlJ1ylSjw9QwsjUHiHFaBE8Qm8nNlSTjerqBSEDgJVExavy6Lokpdf+O6FdzjghgD/eOzBDEg2hf6Hf+/aIyC3n/Tm+d5xg543lmthCCgqdYsj3cb3c+UtVrhUcEbWQHGExCQTE9P287PoVAI2WwWoVDIDB7XMuc9RaNRXLlyBQDw7rvv2u6pnudZcChwusHZ8vIyjo6OUCqVAMAYE2bM6blZY2lxcRFTU1MWH9Fut23n6t3dXWMheC+sAXLt2jV4nod3333X0k1v376Nra0t27SM+2MVi0V88MEHY1leDOQk89Hr9XD//n1MT0/bJpzVahX1et30ie/7xmaQUeEzTWJWXZZKM4B4rAvO2feT5IbbXvheJMA4ZeP65PUzRdHA+OZoFAR0WWiAC8+jte+JxrSglHYe/XrcTRSAuQMODw/RaDRQKBQwNzeHXC6H2dlZo8Gq1aoFM83MzFgRGRbnarVaePDgAWZnZ7G4uIhUKoU7d+7gypUrdk/r6+tjW9mHQiGrWaH+MuC0MBgnYTweRy6XQyQSwfXr1+F5HlZWViyjhXUreM5sNov5+XmrTOd5Hg4ODtDr9fDkyRN0u11cvXoVS0tLVpxM4zpYtIuATOlwHUdlmdyxZePkV4uSvyF7pT4//v8yGQy3uVShLlr3uPOYDNea529ccMH5HsREBFHbQe9VebqsQRBoCgJRT9Mven8q8NzX8851UXPBRxBYdZ9DBWnQ+YKue9nnd/uez6Gfv8zG9cq5pdkguk71PjX2hmuRAFarbHJ+cZ1SAVIW9Pt9k10MXqeyZqXN4+Nj7O7uWpzFcDjE6uoq1tfXzYArFAqYn5+H53lYXl4GcFoPgwr40aNHaDab2N7etjpFWieIjCw3YWNgpcph3/eN/WPMX6VSwePHj9HtdrG8vGzbprfbbdTrdbz77rvGnrz++uuIx+M4Ojqyzcmi0SgWFhbG4iS4kRrLjofDYRwcHFgCweLiInzfN2M1lUph46u4Prp1aHgCZwaCxi2pPHHHlkwUdSFwqnd1kzQF5HTXfyMBBnC22HQvEVKxbBQWGlWstRLIYCi9ycnNFCwCC1rhitTIRjDK/uTkxLIrRqOR+dceP36MarWKt99+G2+99RbS6TSy2azFMrCmfrFYxOLiIubm5myXS/oCP/roI2xsbBjF9Ud/9Ec2eclkuAF0t2/fxu3bt+1ea7UaPv30U7RaLTx+/BilUgmvvfYaXnnlFcvHJoLm4kun05ZuRQpvfX0d2WwW165dw9bWFn7961+jUqng7t27tvCXl5cNTND3x1LkDMxqNBpjQomT12UwOFYcd5fW1qAxnodZD8p6kJL7pjAY2iYpjUlKZlJzmQgFFpMAhm7XrIqD/eu6AJT6J4vkMkMXgYmg74OOnwQugo4L6regFtR/eg33/lw2wwUf2p8XAcGnuW9dF8q6vGyAocBP47L0vjhftM90vmnaJ0GAygLNSNP5CcDcq57nWYBir9ezrRempqZwcHCAe/fuWVxbNBrFT37yE9y4cQNPnjzB5uYmCoWCubOPjo6QSCRw8+ZN3Lx5E59++qntinrv3j3bdZVxZul0Gp7nYX9/H6PRaCyDTzNifN/HzMyM7RZLJqzT6aDdbmN9fR2vvvoqNjc3cf/+fZTLZfz0pz/F9PQ0fvjDH+L1119HNBq13a99/zRT5ebNmygUCiiVSqhUKuZ6yGQy+JM/+RPMz8/jZz/7GX7zm99gdnYWGxsb6HQ6+OSTT9But1EoFLCxsWF7UbmggfPaNbr5XkG461FQtyxLKjA4nLKFsYAXtZe2m6r+rwvRTbPR41VwqsUCYIyWY+do1HOQRQdgLGhSA4eUaua5+Ef/NicbcIb2mErF+5+amkKj0UCr1bLa8sxJJj1JYEUKihORx8TjcSQSibFa8WQxeE7P86zQVjgctgAibivMSqGsXtpqtSxHHRhPD9UAIz4/M2DIVmh/8z51fM4b+yCrX/9XlK0LQMf3ZTcFSkHfTbJg9Zjzzs3mukYoJDhX3DVyHpU96TpBDIYyaa5iPm983WfWcQxSxnqMfuaeyz1vUFOZoEHI5z37pM8vGjMX0ATNe71ndcW8bICha8ztV/aZspKqvPS9smcaRK4GI331o9FpvJym1rMNh0NLZaWbwff9r+2XxNLiwGmmCEEBjRCCA9YrIkNLt8fc3JzVOGLNCj4L2VllTdUA5XkGg9OdUH3/lHnN5XJYWVnB8fGxgal8Pm/Kl5vAse94vyxqWKlUbCM06g/qGcbK0LXJiqitVguJRMK2nNCx0TEE8LWxUhkdNF9d+cF6G0FM4CT5p+2FAgwKR314Tm4KUa0tH41Gx5S4+sc46Jy8mobDSVCpVOxaHAxOWkXQ/D0DRRXkALBsk1KphP39fasrodua+75vG5PVajULvpmensb29jaePHkCAFhdXbXdL6nItShYq9XCF198gUajYX2zsbFhNfD52cHBAe7fv2/gYX5+Ht/97ncxPT2Ner2OcrmMtbU1LC8vW4T1aHQas1EqlawfuLFbIpFALpczFM0YE2bFsAxur9fDzMyMFXUBxt0hKrC4QAHYvasFrfU0OD8IuLjASFd+k1wi7p8yL7rQVYC5r+45XAqTwoxzVeNu+MegMGC8pkFQ2qjrmnAVnCtYXTci56gCDe0TMo+u68GNn3D70v3f7RcXWOkxqrT1OdzX8+bOpDFwxxEYZ874TPytxmwpKFRDgfeq4/gyGpW3Pouu11AoZEUJW63WGDvB+2efck4kEgkMh0NzZ9C4SiQSWFhYQK/Xw+bmJjqdjtV5oKHS7Xaxt7dnVTaz2axR9nS5AKfuj8XFRXz00Uf47LPP4HkeMpmMAQMGH3Irh/X1dVSrVTQaDTQaDayuruKP//iPcffuXfz1X/+1yTKCIL5S9xAosOpos9m0LA7f95FIJPCtb30LP/7xj9HtdvHxxx8jn8/jtddeQzgcxu7uLh49eoRMJoN0Oo1IJIKFhQWcnJzgww8/tI3aWBODY/HkyRO0222r00GZzqxCpr9ycziOBWUsn4VuL2YD8vz8jEayeg04D2jAkMEg8FPDX+fBpPbCGQyXgQDGF7lWl9MFSASpVj/wdbpcBROVFOl29UdxkTPgUmsIKIpX5DcYDMZ2NWUqFeMklJYajUY2MV1UTheO0o3cfrvdbtu+I5wgqVTKFLoG27CQC91EXAy9Xg+NRsOoPQKifr+PcrlsAoO0ezQatXoXvCcVtHQFkX3h/QdZzq7iDZqAruXtUtVBivkiRfEiW5A17X7m/h9kpbvfucqO89R1j6jlH8QmBLkD+Ln7HJPYC57XTQeftHY97yy7w6VdJ43dZQDGpH4N+u2k+eGyLnoutkljoC0IaLh9qOtGz6Pul5cJLniP7trTRkucskTXNjDuilNg4s41KiZmy2mslc4PggzgrJaDWtkEcDTIAJiecEE0G+VYNBq1+BCtm8RMOJVnKhM5TgqwCaC63a6dm5kvlO+edxrEynVDZpv1kWg01+t1VCqVsXRTxso1Gg0rW06dyBgSPhv7zM20DGra3+74uPMwSEa4faHg+qL2whkMFTj6x+85GBws9TGr/5mFQBhsqWmqDNZkKWwqWE4comzmQXPyVatV2xANOI00ZjGT6elp2201Fouh0WggHo/j+vXrVmSmVqsZok6lUnjjjTeQz+dx7do126yGrMDW1hba7TaSyaQFaq6srKDRaODg4MCAAIOSuBtqPp9HPB7H2toa2u02VlZWkM/nMTU1hd3dXQyHQ3z44Yc4PDy0nVpTqRQWFxcxGp3W5qBLBYC5Uej+YJbK5uamga9qtYrHjx+jVqthYWEBqVTKLDSlO10LEBgPsAUwRnmyPzR6Wf1/ymBoLEZQjMeLbKqMgDOrXV1qfA43WM5VZJoGyD5lPBDpUq4JshW+748FviogVmbMdXdp4B3vm78jg0ZKmArD9b/rOdSiJbjg+tZgM17LbUEggf+7tLwLMvRYF+jqeASxXy6Am8Q8uNcLoobVleB+r7FjQf11GQH9j9WYVURjRdeg75/GCaRSKfi+bywa5TLnEi1cymEyzKHQ6f5P8XjcYr06nY5tc0A2bDgc2n5IGmh5fHyMarWKQqFg265z75BOp4NMJoPbt29jbW3NiiHOzs5a6YDt7W0cHh6aTPve975npbs//vhjPHnyBKPR6Z4ob731lsVCMN3/+PgYU1NTuHr1qm31nslk8Ktf/QoffvghPM/DtWvXkEwmsbOzg1/+8pe4e/cujo6OjHmOx+NYWFjA8vIy9vf38fjxY2N0WKWZ997v95HJZHDnzh0AwBdffGE6jIwPKyl/+9vfRigUspgONTrJ5rtuUwI9rktlJAmsgLNNNrneNO6N9wmclZu4DLP8UhgM1wen/1PAUuDxlb9VOkf3x1AlxpgJIkHSPGwEIwxiJBUInCpcBkXy/GQgGLDZbDbR6/UQjUatjOzm5qaBBRanWlpawvLyMvL5PFqtFqrVKvb399FsNq1aJoFDKHSaXsr7rlarOD4+RqvVwsLCAo6PjwEAKysrVviK4IH7jDAQc2trC9vb22g2m+h2u2i320gkEvB936KdqSi46yH3A2C+c7lcNlDGbYWr1apNYo4Lxy6ISdKxVSDpUmu8F1J8HGcKbi0j7PoDX0ZzgbKi/Mta3kEMh6voGHznRogDZwHKalUrAONfULU+/p5NQYS7v4wbg+H6bl1r2LVuJsVruP3pvldA5gK685oyYe7nPJ9ewwXFar1OAhgKmtwAWR0PzmG+KsAIcu+8qKYATueLfq6ltd1gPqXJ+/2+uYp937d4Aa5ZGkXMsOM28ZwrtMDJMheLRQPXyWTS3CSk809OTqw+D6spD4dDyz7xfd+2YWCs3OrqKhYWFnBwcIC9vT3LEmSa69LSEiKRCI6OjgzU+75vu5lubGygUCjg7t27qNfriMfjKBQK5qLo9Xo4ODgwveB5p6739fV1LCws4PDwEJVKBZFIxLLxGApA8DY9PY3FxUX0ej3cu3cPxWIRnU7H+oHprm+88QZmZmZQrVZRKpUMCBD4TWKkNKaEctStkaHjyvNyXrjyxwUxk9pLySIJEsZsCiLYIa4i09oJbKS6SFsRDQMYo8P4Of19qVQK0WgUV69eRa/XQz6fRzqdRr/ft62Al5eXLdBydnYWU1NTODo6siJf4XAYV69eRTgcRiKRwPz8POLxOADg+PjYaDDgrL5+s9m03VMphJLJJDzPs6yQcrmMdruN5eVl24GQAu3KlSuWvrSysmKBUqPRyLajZywFq8gxFfXo6Miq3oXDYdy8edPKiB8cHFhqK4HeYDCwdFWCPRVMqhT5nBw/FSCkCzl26tdXNK2Ch3NCz+nOmRfZ3Gvr/0EpYecBjCCfv9K0yubwMzauA82IUpDhsg16TVUuQXS5+3se6wqvoH5wrXh1cQX15aT3bj8FNRcwBT2HMgt67iCwF+Qmueg+g9gLvnKtBgEMHcuX0ZTlUVlMC5gAATjz7VOm6XjoHAuHw0gmk7bfR7VaRSaTseDOQqFgsQwaVB+JRJDL5cxwoqwBTmV3uVxGs9nEBx98gK2tLZTLZRwdHaFWq5kc08D7Xq+HeDxum0Dyegy2H41GlkmysrKCtbU1KwymLvV/+Id/sEJdhUIB9+7ds7lFEMR9QVKpFN566y10u12Uy2V0u13s7u6i1Wrh8PDQABbLhV+9ehXT09Oo1WpoNptWSZoFvjqdDnZ3d1EqlTAYDKwO0u7urlUUBWBxizp/mZWou6pqITHK3pmZGcuGAc6yNCmrWUuEa5nyW1OaL2ovtQ6GTmxVJnSF0PrSvORwOGzZIXxAsgx0hWi5VWZNhEIhpNNps/a5pXoqlUI8Hre6D4yZYE16ANjY2MCVK1fs3qamprC/v29IdmZmBjdu3MCtW7cwPT2eU+1YAAAgAElEQVSNZDKJ4XBoyFWfm0qdQaNabZHsyY0bN9BsNo3BIFpWgHH16lVsbGwglUrZ9sWbm5sWswHAQAYjkdvtNh49eoSHDx8ilUpZ6hbjOZj+tbS0hHw+b3XtB4OBgRRNFSXYUGpfqXHdYIsTU9POKLDU7cE+Vt8vkTnH2w0OfdEtKIbEVVaTaHb+7wJsdakoi0NwoQCDwI3WIpsyDUEuJWUF3FcFEkEA5TzWKEjYuIDjMm3SOdzPg87p3l/QPbvnOw/kuaADOGMuXIARdE49D48LYmVeRlPmTYOu9d6VOT45ObG6Dp53Vq1TwSjnG10lytC2Wi1EIqe7qKbTaVOcAIydmJ+ft32ZKMunpqZsn496vY6///u/NyARiUTMyk8kEiYLqUxnZmbw7W9/23a8rlQqNqY0mLLZLK5cuYKrV69azSPKt2q1infeeQftdhsbGxu2Xwn7jzF+NOoWFxfx+uuv4/DwEH//93+PdruNzc1NRKNRk+PULblcDj/+8Y+xtLSEvb09HB0dmfKemprC9evXMTU1hY8//hiPHj3CwcGB7Wu1vb2NWCxmgENdV2pkTE9PjyU+UJ4SHDCwn88KnGVUsvEYnptsy9O49164pFYqMWhRunSNBg+R3tGd9OjzY0fyGpFIZIxioxLtdruGst1gRv6WQpWCnROei5EI3fM8tFotU8DRaBT9fh8HBwcYDoeoVqs4OTnB7Oys7WoKnJapZelaInaWDlcmg/48tw0Gp5sJNZtNqzbXbrcNjR4fH+P4+NjADhkgpc1jsZilOnHixONx292vUCggkUhYlHUulxvbnlmtX1WmFE585ZhokGIQze4qKZeSV2WhgPRlNVXKLmA4rwUp0SDFN0nZqeU56VpB7iplmTh2k6zYSQwN8PVKgO4zaP9Mcldc1CeTPpvULjMXgliM845VefAsYCDIxXJef73I5nne12SfGmsu1a59oXQ7DYuTkxPbSNJ1vfV6PZRKJauLEQqFLN2UYIGbNyqDCZy5qHl9LW9OJUrlWi6X0ev1rALxycmJKeVKpYJ6vY5sNmuprTzf3t4e+v0+tre3USwWAcCYlmw2OxZYGgRilXnQ4PxQKISlpSXkcjk8fvwYzWZzjLGlLmLGH+UodYS69qPRKDKZjDEMoVBoLC7LNQ7UuHDjpfgdcLbFg4JNt+AaZTbdOZTfwNeL9AW1FwowyEawvCpwRiXqZmB8CFr77Ch2vvowK5WKMRh88EgkYkE/7XYbR0dHlm7JICECAiJAjffgdVgWO5/PI5PJ2DVZiY5BOPTzpVIplEolfPzxx4bMw+HTgllLS0uWjTEzM4PvfOc7WF5etsm5traG1dVV87c3Gg3zR6pVS6D03nvv4csvv8Sbb76Jt99+G91u14KMPvvsM+zv76PT6ZggWV5extTUFJLJpO04Ozc3h9nZWUt7Wl5eRjKZxLVr17C6ujoGIPL5vIGnWq02xjQppc/AT9enrWPOZ1ZBpYKFC4DzhaCIn18mPeofs1FpuoonSEEHNddaVuXvKnx+roGUwNk+JJOAjesW0fXG9cXXSQJHgaQyApNcDvxfr+/ez0X96ja9nvvqfqagSX97EfPiMhLueYICVYOUTdD53XvW8X1ZLRQ6TStlkKGCVxpeGruj/aAKivV0er2eWehUuMDpOm80Gvjd736HmZkZXL9+3XZQTaVSpmQpH2i0AbAsDXXJXrlyBblczuQNixwOh6c7mkYiEdy+fRuFQgHFYtGKUnEfp9XVVXz729+2TL1ut4uf//znphtOTk5w8+ZN/JN/8k+sTlC1WrW4JA04B071zI0bN7C0tITf//73+O1vf2vbTySTSfzoRz/CnTt38Ld/+7eoVCrGQofDYRwfH2MwGODevXv48ssvx0qbc28mbtyWzWaNPWKMXKfTQbFYHIub0vskMHKL8GmKsGZEArAxYGOA7Wg0MkMawJi8+EYBDCCYZmQ7TzCoxUgkrArQRVNa+0GVk8uS8Lqc3Oq74kRmVL9Si5q1wmBJUmbVahX9ft8oJ0WZdCMw8prsCCffJL83P6dwIoKl4laBpcGB+l0oFEIymbS6/0Tz/J6Faeg+0uej0J2UwaH37I5pEDOhVpKOLcdFc66DGIz/P7Qgi1ZBCgW/e4y+D7KUXdqfn7nXZt9rQC3XkbuenjZYM4ipAc4HGuexJUGfBYEYBUN/6DyZNN8mPcNlni0IjL3opusriDXmelcgpCBE1ya/U6Ci52OMQCgUMkMOQCDLyfNQWTLIkWNKt2qv17OUTdcdRSOOaZ26xTjlMV0hvV4PtVrNdl2lAqfbWDNr1PjhvSvwp6zkWgqHw1Y1lEae9kmn0xlT8rwewYOWMaCxzXtxXRSXBf16vOsm5f96LmWVqEdcVuSiOXxpgOF5XhjAbwHs+r7/zzzPewXAXwLIA/gAwH/m+/7JBecwyosdyEnKQSJlpruMcjLpNrZqIXOy60NHIhGk02nE4/GxSpQMLmo0Gla9LRwOWxTw7OwsstnsGKr9/PPPMRqNjH5j0A0nM4N92u02SqUSDg4O7Dqkyrgl7+9//3tT/vF4HFevXsXy8jIKhYLt2Foul618LCdpMpk0au3k5AQrKyuIRE73MMlkMmMbCS0sLKDf7yOdTtsEJyL+wQ9+gDt37lihMM1Pv3btGobDs7oYqqi63a5luHCTHVoqDK4KhUJj6W8cPwoIHkuXjQoo9hUXEucLF5jGYTxrgNzzmMO8X97f0zQVVC5z4b5qKqMLFIGz9UIhQApTKWUCUo2H0T9aqSpMAZg7UIWJvp6XJnweyGB7GpeGukjPYzAm3cN5Td0fem41XoLuS+/FjVEJAsI6bmoUPUt7XnKYSs+NpaDV2+v1bKsEABbLFg6HkU6nrW6PPo8ywAr2GCv06NEjhEIhy35rt9uo1WqYmprC3NycpajSnUBXALNEaCjWajXs7OwgFApZ1t76+jpSqRSKxSJ+/vOfWxYfgxmnpqbsexYOZJxbp9PBzZs3sb6+jpWVFSSTSTQaDTx+/Bi7u7smR0OhEBYXFwHAdMmvfvUre+7V1VVjtKPRKA4ODjA9PY2dnR0cHx8bE+z7Pra2thCJnJZZLxQKY7EvqVTKQIAyDCwgyZpFS0tLtocJDWHP80wOMBBV5ykzCAmUqIeVkeaxdH/x95qdRjB4UXsaBuM/B/A5gNRX7/97AP+D7/t/6Xne/wLgXwL4ny86iaIj3jjfK2WrgIHCjs1F2UHojb4+Wu0M+CTN0+v1bBJ73mksBbdZ58Kj0C6Xy+h0OsjlcgBOB5r0YqlUGqt+Wa1WjTYk/cf0pVqthidPnmA4HCKXyyEej1t1Om717vu+uV9Go5EteA24Gg6HSCQSmJubsywY0p6j0cjiObj4qDCYCqUKgxNTJzb7Sa1k9gULe5FO5Xi5Fo77Gf+Y9uZa4L5/ll/PecJzqaJzFe1Ttucyh4Paecp0ElvnukrUOnEVkavwgoCJukKUdSLI0D7VzylgaN1x/bh/CgqDrCbth/Os9IuYCX3vWmqTfv+sTRUhML5Zmtvn7vWDwIU297fPibn4g+ewMpFBc4OGAjMreM8M9mR/UZGqkadzhdfiXGTdBsoAFu+jkcfdTemC1XVOQ4NMSLVatVgObjCZy+VwcHCAJ0+eYH5+HhsbG1ahmMYb0/bpLmdcWSqVspgJytp6vY7j42PrK8pUGr2DwcA2imSwaDgctk0gW60WSqWSATWm/dPABGBMB2t8eJ5neotGnepC3aqCcSwu28RxVUaFY8G5R6NQGT+VQ6qXNVyBf5fNhLoUwPA8bxXAfwDgvwPwX3ind/wTAP/JV4f8OwD/NS45sWlR60SkVUswwYlMZQ9gLMKVHcTfk6JiYSLgDHXR70RmIxKJWGpOq9Wy88ZiMdTrdSsHzghaTjTf98eYFTIZRLukAKmoea18Pm8ThhNyb2/PgEO/30ehUAAAFItFfPHFFyiXy1ZHI5FIGHtw7949K/7F52BENq2I1157DWtra8hms8hkMuh2u/j0008BwADJ0tIS5ufnUSwW8fDhQ/Oj+r6Pa9euYWVlBeVyGbu7u+b6IauRTqftejqOnJQKMFxhrFkzGnOgwlcBEBsXD8HP04KM5zWHtenzOdcyReVS4wqslIGgRcD3CvJc8ACcVfPTAjhKO5PRcgP2VAFQmdDvTgHMAmvKcmgcjMsqBfWBKqYLxuVrr+6f3q8e647F01zLPb87dkFgwP39pPsPuje9x8vc64T7f25ymAwELVg+E1Pqad2yJgSAMcaLzAfrX3AtkP7X2DGOG92xjUYD7XbbYtlYX4jZe91uF3Nzc1hdXbWNHfv9PrLZLFZXVw1gAGfuYNbbuH79urk/vvzyS4RCIczNzZlBVigUzD0NALdu3cJwOMTR0RHeeecdvPLKKwiHw+h2u/jud7+La9euoV6vo9PpADhlLpLJJL71rW8hFArhww8/xN7eHmq1Gh4/fmysA4M+qc+uXLmCdDqNubk5ALAMmMXFRRQKBUvlnZqaslpHZHOYYqtBoLwnsvDsdzfeiuOqrKauKWVjqSPdecvvFYSo/D6vXZbB+B8B/FcAZr96nwdQ9X2fO17tAFi5zIkY/es2Km5axexIWs8AxhYDFRgnPBElaSFN0WM8gVrJHAwOLFHa0dERvvzySyQSCbz66quIRCKo1WooFou2MJkOOxgMrAgVmY6FhQXcuXMHMzMzyGQylpYUCp1GVBeLRQuOAmB5xu1224JEHz58iKOjIywtLWFpacnSjEqlEn7zm9+g1Wrhzp07WFxctIAlWhOsa8GobQB48uQJPv30UwwGAywvL1sWSyqVwv7+Ph49emRFwAaDATKZDK5fv46TkxNsbm4aaBuNRkZv0hJQS1knryu03YJPLhuhCkkZKv5erXW3Bsol23Obw0FtElPhNgUXrkuEFocbNKvHap9wLlMJ0LJwrUiXdVDFSoBBupapcgQYbuAYY5v4XdB4u4r0IldJEJgIsoJ17gT1KeeJnvu88VIgqID4PHDh3vekZ9J7UzbEBdRP2Z7LHCYwiMfjX4vd6nQ6ds+6DYFS5JyzCjbZj1qdUuMWtK9ZO4IMHfdEisViBjBSqRRu376NUqlkACOTyWB1dRXNZhPFYtFYYQZIsqLx/Pw8Hjx4gA8++AAnJydYXFy0uLL19XWb3yzYFQqF8Bd/8Rd499130Wg0sLCwgFgshrfeegvD4RAfffQRnjx5Yi7xTCaDN954A7FYDFtbW9jd3bUNy1gLxPd9Y77D4TDW1tYwOztr7mtW4lxbW7NCio1GA7FYzLaAj0ajqFQq9kdXJvVXuVxGNBq16qBMmXVlqa5BNTp0juo4KZPBxjHWmAwa/ue1CwGG53n/DMCR7/sfeJ734wvP+PXf/xmAPwNg6UNqgWpgmdLhwHhBGneBc7LyPIxNCPJ3spGeUgpwf3/fKDumdS4sLFghlnA4bH6zeDxuv2eVu3Q6bQtQc4xZ955bAHPzmsXFRcRiMezv71vAJxW4WufqmuB98ziyGdxQTeMTmOlBZBuNRg11+75vWxZTGdF66HQ6tmkQA091fFRYkHWhwNcJ7QrOSbSxghJgfLc/jhWBiSpXV9Fecg4+1zmsi9VVSpOaKhZVNFys6h7RBa59GvS/G8tBdkjZBZcm5f+63jh3uIZcEM9rAmc7LOpaVTZHx1H/d1sQ8OHnk+bSRcBB+9vtM/c8LsjQPgpip4JAxtPey2WZHbc9zzkciUTQaDSMbndZNbKzXNtByojnYconcLaVgxoOfK8AlC5S9r8aY2qZs8AWd4Eul8v48ssvUalUxjJVAODo6MgMU8rfTCaDfr+Pubk5S/2n+4WsB2V0KBQyuUgGh+emnGQcn24tXygUsLKyYrucqiygDuEzNRoN7OzsWJYgd01l0On8/Ly5WOge0aweruPBYGDPqBl7LrMY5E5WOeTKdl1/DDjVAHD2BX+v2SST2mUYjD8C8B96nvfvA4jh1Pf3PwHIeJ4X+Qo9rwLYDfqx7/t/DuDPAWBhYcFndUw+LCegPhgnY5Clygejm4WKmT41noeLRDuU9d21Yx8/foxQKIQ33ngDKysrWFpawuLiopWepZLj5jTFYtHqQlBJZ7NZlEollMtljEYj2xqdcRaj0ch+993vfhfHx8d4//33Ua1WjQVhWpRSi7p1Lyco/YcHBwfmv9zY2LBJ0Ol0bC+S+fl5FAoFTE1NYW1tzeIsuOlOv99Hs9nE7u4uBoMBVlZWkEqlLIgrFDoLKuVEY/EVskbsZ21KZ7tjpwLfPYZpUhT4XCxUmqRmn4HBeG5zeHl52XdBkvtsk8AEj5vETvB/LWijwsA9HwU33SEu68O1oO+DWAECEt4bq/lRyJIuJ0umoETjpdRvy/s4T6EGKfqgfg0CICrI3WsEMSj8zmXW3H5iU8Hsfue2IAClY+Ee94wMxnObw+Fw2N/b2+PnXwMWAIzB0P53+zkWiyGdTo8FA3L+6nolo8y5Mjs7axl0DGJfX1+32g8MZvzss88QiURw5coV+L6PL774Au+//74FzVM2DodDfPzxx7h79y5u376N1157Del0Gq+88gqA00KJs7Oz6Ha7ePLkCcrlMh49emTpnwsLC4hEIigUCrbhpO/75v6h3mi1WmP7TWUyGbz++uvIZDLY2dnB1taWPT8AzM3NYXFxEQ8ePMD+/j6KxSLK5fJYOji3bkilUrh69Sra7TZ+97vfoVqt2j5T3O+FfRoOnxY08zxvbO8uBXsAxipIa8yNK0t0LhLw8XpkoshYUC5Rh3hfudUmtQsBhu/7/wbAv/nq4j8G8F/6vv+fep73fwH4j3EawfwvAPzNJc41Zk2p4OTDafYBv1NBoGjapZfdMtXnCQal2z3PMwSqBajYgZqfrIiXNLHuqscy5aSPR6MRms2muWLorpmbmzMGhNkxXOQsEEY3B5+FFgMzNYjWdUMaABadzcXLBc1JoUrb8zwDDOl02gCITjpV+EqV8nO3uUJc/1floce5LAgXYJAF6p73ovY857Cc81LMBY91/5/EYgQpoUnXcM+roIPNHR91Pei1aPFwTvB+lE3keKuPl79VBaTP57IubEHsAM81icG4TDuPudBr6dipPNJ+mnSv7nkVWF32/p62PW85TLn3NHM4aPw4B2joUYZr/Rp3LikrQlnCcSeLTEud7mjVDTyW907ZPxyeFjfknkysHaFsnlrdBPKUp0wGoJFDoEHXBA1b4DQGIhKJWAVQuuI1E0NZbK1LQcDO+6dhxVeXpdW1TXlBfUCFr+Ny3jpzm+pWF8zrn+s2uUg2sf0hdTD+FYC/9DzvvwXwIYD/7TI/0s7g4HreWTqioiLuJKrWFiceA5CYSkpaidQSgQJBAABDnaS6qCR938fOzg729vawsbGBW7duIRqN2ra7dH8UCoUx3yEpLJ57cXERi4uLyOfziEajaDab6Pf7+OSTT3D//n2sr6/j7bffRi6Xw/Xr18esy3A4bBsBff/737cqn6xfzxLnd+7cQbvdtsCljY0N8+vVajVjO6rVqqWhZjIZfOc737EgVi6IZrOJbDaLP/3TP4XneRZtPTs7a6iUNBzHja4hpqkqYLBJJRX41MWlgkEBoLoIdLKrda/gRvPK/8D2THNYFYkuUKURFTyoolW2gpaMvrpWwyRrNwig6PV0THSe8R7Zl0qRav0UHkPhqgpGg7QVfPIaQYwL75nH8PycB6p0dB6wLyeNt8vwKDup/eJGvKvw1PsKMmQm9b2+135278/93bOCpwntqeewMhUAjO7XvmaRJ3WbaXwPFTEzJFhGO5FIWMnvqakp29gRgG1GRraWDDGDLOkmWF1dtV1NY7GYVdaku5fPQAaW8WD9fh+/+c1v8Omnn2J+fh63b99GOBxGuVxGsVjE6uoqVlZWbAduApeTkxPMzc3htddew2g0ssqaOofm5uaQy+VwcnKCSCSCn/3sZwBOXTOtVgtXrlzB7du30Wq1sL29bbEgy8vLxsowcWAwGNhu2tPT0yiXyyiVSnjw4IEx5nSXMA2Vhbk4jxnrwbgQ4OsuRM/zrEoqx5bHaEwc17dmkLlzWl2nPJ5jcV57KoDh+/4vAfzyq/8fAfjBU/5+bGFRyCoIIKJ12Qh95cBr1oiCDj64ptaof470Pq/r+2eppPPz818DNXRzUNGz/Kz6qhm3wCwNRvKz4trW1pbt55FMJrG8vGw15eka4X0XCgUbaKJ63/cxMzODXC6HZDKJXC5n7ARjJ5RVUFYnFArZZkLsV06oaDSKlZUVm7CcPJxQ7B/2hwbPTqLf1WJQ/57+6e/dY9w5o+dXC/dZ2h86h3lPQZ+51rOCgEnfT/KHngcs3Oaew7W++VmQxa4skSpixlnwPa0lfuaO7aR7cv/cueKyWUHM1aR+OM814lpc2oLud9J9BV3XZTz0WL3eZRiNZ2nPYw67IFnZAb4n+6C/0f6h0mKWmed55vog0NDSABwPyjotEc4sNab7+76PRqNhhgzr43CDLhp6BEC0/rvdLorFIsLhsBlHrGnk+77Jb25aCcAo/1QqhVarZTuxMuCVzzMcDq3Q1/b2tpX67na7WFhYQDqdNiOZOoFuIO77NDc3Z+euVqvwfd/AUavVwtTUlFV4Bs5iCxkvw75kbQ/evzJEHCMaehwrbRxjNdjUyAuSFTQ2XCbzvPZCK3mq1er7/liqqVq2wFk8BpumrbLDOXE48NFo1PxO7EBSUgQT9FmzI5nuyVTSbDZr26U/fPgQvu8jk8lYQCWzPhjzwQJduVwOmUwGnudhc3PT0Ccreq6trSGVSqHRaNiiikQitrWwNlpdDA7itsEArFQu3SeHh4coFouIRqMWefzqq69afY2FhYWx7eLff/99HB0dWXrU9PS0UXtHR0dWUIe1PMiCqOIha6SAAhhPY+MEDCrUosJJ0TWP46vOF4ItDSx8GU1ZGZcp4PzUQF1lZ4CzSq4UiFpvgK9K3SqLo0rbdSPod/TTatO1FZTuyd+plcRr8FV9wBq7ETQmrstL+8sFom4ch0ufq5wgsFEQQjCt9+jGtbiAzu0Tt59coOGCGHdO6O/PA6D/CAzGUzfS9zpnaNwok8wNs3RsKJdp+et26WSe6QpmICID4fk7lg3g5o4ALNW+2WwiHo+j1WqhXq8jmUwaGNje3katVrMNHjkvo9GoxV3s7u5ib28Pw+EQH374oZ2bivrg4AAnJydotVpjsUXHx8cGFur1us2lUCiE1dVVY3i4LjkvCXxqtRq+/PLLsbn53nvv4YMPPjDXCNd9OBy2EgR3797F/fv3jV0fjUb44osv4Ps+CoUC0uk0SqWSyWaug3a7bQwRx5T9q24Y6jnW73CTCPSV8odj5Ro9vIbuYwPAMiKD2gsHGHrjagmroOHnWqpVF3q/37doXhYnoTuElhZwViuAu8YR0enEYtxENptFMpnEaDQyFPvw4UMMBgNsbGyMbQDm+77lJu/t7Vmtez6bq0SnpqasmBaROidGuVw2fx7dQ/zt9vY2KpUKrl69imw2C8/zLKiKArRUKqFYLCKbzeKNN97A1NQUXnnlFQtWZWGtTqeD4+NjfPjhh9jc3MQbb7yB0Whku8kOh0OUSiV0Oh3s7e2hVCohnU6jUCiYWwo4qybHiasggBObFD+VJnAW7T3JNcLJquyHgk1VYi8TYAAYAxja1NWgi1OBBgGG+o31lUJAgzxdcMFru8pKWQJdM67SdsfNfS6CcApwXXs0DAhSdP0CZwp2kkIOYrFUibmZLVoPRI0QAg0XpLpAw+2/oKYgwzV0ggCG6/Zwj3HbNwlcAGd1MNgvTEcNh8O2KaPW6HFBPseIrmla6wQdyn6SZeW4ADCZSxDS759u7d7r9VAul00+n5ycIJ1OWxDm1tYW9vf3TR6q3Ll16xY2Njbw8ccfm6v8888/N6U+Go1MXjNN1fM8C8ynUaUuBxqlrDJKppxjTkacCv/x48eIxWLI5XIWeFqtVvHqq6/i+vXrVkQsHo/jzp07SKfTuHv3LjY3N80F0+/3sbW1hVarhatXrwI43e2UOobjR8NPY2k4LnRPscaIAiHKbgXcXCuUQ+53Om/4zDqPvzEAQ10TXMiaDqk0j1pUzPMn8mUmBRdGKBSyUq7AmZBTIcnPeW52JnOHSXGR9ajVaiiXy2i324ZsiewGg7Pty7PZrAldXo8TlPEODMhkhU7f91Gr1Wxy0GJgGu/+/r5VFq3VahZfwlQtWgyaUkUQQXStxcWozNhnnKhcyPTvsWwu3TbMNCFjMxqNbGK7QlIpblWoKpyomMhyuC1IUfL9y2Yu2FxAFKTwXYChCk4ZDDJpCjo454MYDF3symDoYnfdSS5LwN9OUqIqYNQNosqeY6FBfS4boP3C5gIegv0gI4NrSpkvnkNlhMqJScBC+zAI8Oj/LojR59E56YIMtwUxOO48eplN2SnWOKHcpPHgjouCCBoRdAeQiaALVhk5zUTS+BoW+5qenjZmlgGRGrxO1pdKOBKJ2EaQBETHx8cmexmUT+VPl4OWAWg2m4jFYrh69SpisRgePnyIdruNdDqN5eVl64tIJIKlpSUUCgWUSiWLNeHW8MzioJubQE3ZcQabkh1245zIbui5WYGUO3HTTUS90+12x0oFuMDbjbkIAvnKTAJfX6s8tzuHn8b190IBxnA4RL1eN+TKyU1FD2DMqqGvqlgsmrUdjUbRaDTQbDYxHJ5upBOJRIxGU+tHt3VXYTocDo0SHI1GiMViuHXrlu0mms1mjVlgSlOlUjFQkEwmsbS0hNFoZFsEs9CJWvpPnjxBq9XC3Nwc8vm8UcrtdhsfffQR6vU6bty4gbW1NeRyOaue+d5779nOqCxDXq/X0Ww28cknn6Db7WJpaQmpVMoWt+d5OD4+tq19GYw5GAys8l21WjWgRBRMq4FFwMjMMAiWoIe1NbLZrC1qBeiuyDEAACAASURBVAwK5NT65iQlu6FCKyh/OojG1ihzl9J+0U1BghtnEETPu1Y2/+jio5CiAifgYGyRghB3HmuQpgoAVQpUHG6hM/eZ+KrKmtcBTjOoCL4pRHW9XTQuKgg5nuq+5H0qw0i3KHAGhvU8QQDDZXvcfnf7ygUTQQwamytYlc1Q5iioX/n6TWAxdBx83zdXBuszsJ91fU9PTyOTyQAADg4O0G63kUgkbIsDAgzuwTQajUwekiHlHGKfcasEAFYdOJVKIRaLYW5uDisrK9jb28Nf/dVfodVq4Sc/+QmuXbuG3/3ud3jvvfcwMzOD1dVVhMNhbG1t4eHDh+aSYdnxaDSKt99+G/l8Hg8fPsTW1hZqtRqOjo5QKBRsV2vKuOXlZbz55psIhUJmAC4sLCCVSuHk5AQPHjxANBq1WL1qtYrj42Nbq9xCPhaLYWFhwcqLe56HbreLnZ0dJBIJi+8gyzMYDLC9vW1lB5LJJAqFAjKZDFqtlm2GeePGDcRiMTx+/BjFYtHkka4Lneecz+6c5zpzXdQ6PwjueQ1dU0EMaFB7oQCDSp+IVtGWFsniIHU6HfsDYAyBLnQ3sJFKjQCFgkktL0VvbGpJ6gJgYSqid71GKBSyAB4qZb0/0pCkBLWGgPozKah5P3puunFcnx+tDlKJnADM8ADOUCiVFHC6kPv9vqW7qmVMZoJ+VN4XLQrtb9dSniSMXf/teYpIwQUnsbs42F4m0AhSZO69u3ET6g7SuAD93o3XcM/vKv3zmmvZuHOf5+f53OsEBXDR4nXjNNz5wGP1vWsR6XFkJ/R7fsZ+0f5QweaORdCrggp9dfvRtQTd5t67+3lQCwIXL7vRuFDKX40OAGMgkAbhzMyMsbjKdgAYM6yUhQPOtoEgmCbY5e91PKnUGdRIoywcDluBQQUxfB7qEBpWNC55Xc4blhWgDmKWBpkWyjwAVsW02WyaXKf7gcdQJjMThwYen5HPQ6OW8posPI0LznN1g5ycnNimmhwPda1OMiyA4IQKHX991bWqskINR53jyoxc1F4owBgMBhY5y5gF0j0HBweW1cDIXwZJMn0TOAMZRMycZCxPS1SoA0pUzqAi3WeEk4o79CWTSav2trCwgGw2a+mdCmQIXhYWFpDL5fD48WOUSiWb0NPT0xYTQRRLRJhIJHDjxg10Oh1cuXIF8/PziMViqFQqaLfbmJ+ft1Qvpm7l8/mx3WHJAD18+BCfffaZTdLp6Wm89tprdnw6nbZJE4vF8KMf/QjAqd+MkdW0YBjoWiwWUa1WLVuFC4vPrBNLrWSd1LoAFTG7TZWB+tt5Ht05Vyf2y3KXuABCXQoaB+BazG7QoZZTDoq3CIq/cFvQInf7R/temSA+iyphAGPX53tVBAos6CK5DIOhwFSD0TQuimCWxw2HQ5MRyoYFAQw3U8F9tiDmQl/dcwc9E+l9BRn6nud33SNBf09DMz/vxkyF/f19dDodU87xeByrq6umoMlYrqysIBqNWkVNlg8g+0m5BmBMQdJ1nc1m0ev1sLu7i0ajgUwmYymW5XJ5rJ+ZnZHP5/HkyRMMBgNLw7979y7ef/99k3OhUMgYbM8721+Fm4ABp4zKo0ePLFWW7C71x9/93d/ZuqAr5eDgAJ1OB/fv30en08H8/LwFm16/fh2j0chADot1MUaP8Xz9fh+//vWvsb29Pdb3o9FpjN7jx49RqVSwv79v9TaA03VCuby/vz+W4joajSzxgPEVyj4Q+GgsBXBWiZTnV1ZD/wgoNEZFSQA2znf2+3nthQIMAGMR8sCZoGLBEnYmU5FGo5FRQETHFETAeOS+DhIFFBcCB4gCl9a6Biwx8JKDQKSby+VsAx1uX0yBq6VcXQWbyWTMf8b7JTPAdC5aB4rayZZwp0Cmj4ZCIaRSqTHUT4RNWn16ehq1Wm0sRZcsyNTUlNXoYEQ2+4JR3ex7WgOsZqfKMQjJqvJhc9Gwi5i1uZaeSz3rMS/bVeL68oMUmstQBFnUk5S5e/6gps/vxlTo5y67cFHf6T3wvbpmaEEp0NT/JzEYHEdV4C5I5HXUMibQoqBzm9tfLlsRxACd15eT+pMCWJk1/f15Y/VNYC20hUJn9YZ0vLVgIOUpYwgYE0F5onEAPCcwbvApo6DAmscoWCEVz4qZAAyEUnZtbW3h8PAQiUTCYhFcdx7BjoLoVqtlrhqVab1ezzafpKEIwGLlSqWSKXtmbdCdoTF5ADA7O2uGYjabHdvriveh8RZkTfj87DuCZQbQ1ut1Y134u6AgcpW1LoDV9RQUL8Wm6zko08w99jJy+IUCjHD4dF8PKlw+BNNESYd5nmeKVYNVtCIaAQNdK1RwZAy4OAAYk8EFNDU1ZalTBDqVSgWNRsMqbNLNEAqFrGAKS9MSEFGxEzAxJoITgACC8RPM/yYVGYvFLDZCLTUuGk7kk5MTHB8f24Zno9HIWA4AWFxctMkWi8WwtraGQqGAcrmMzz77DLOzs7YHCt0dOzs7ePDgATKZDK5cuQLgLIWSxcq4+5/eB49xs3x0wrPfdNLz+RQQagEfVQw6efl7Xk8R+Mtsz3p99xkJcgka1f2mSlgFSRBwU6Ghr/zTWBlVlLynSQpc75vWlzIaXHdBYEGb+zwXCThlJBRg0HBQV2QQgLgIoGn/uP9POnYSi6RjqkDkm8ZcsPV6PWxubqJer5vrOBwOo9PpYGtry8bU90+D0Q8ODmz9DYdDK+gXDoeRyWQspkifmbUkRqMR8vk8PM+zPUGAs1gNbq7HbdIzmQzy+bwxzxrI/tprr+H27dsmM1qtlm1zQIOKWW40tkKh09ID8Xgc5XIZ+/v7iMfjSKfTJo94Hwz4J/tNRpzf7e3t2YZkS0tLmJqasoy7Wq1mW7sr67q0tGQ1QbjjKoFNMpnEysoKXn31Vezv7+Pzzz+H7/sGTkKhEJLJpJUcaLfb+Pzzz63vKTc4/8go0ggIAvs0mik3mInp+74BSHXXK2M/HJ6Vg9BK1+e1Fw4wuE0ucCZQuMW5LmB2kh7HRpChTAiPI3jhIBAlakW6cDhsNBrTdur1ugGUubk5E2bT09PIZrMW5HNycoJarYZHjx6h0+kYhTUYDKwYCwUJ0XexWLQUUO7+t7GxgenpaQM2CpwYe8EJw3of7XYb29vbtijm5ubg+z6y2az1SzQatWjr/f19bG9vW2DmcDg032uxWMT29jZGoxFWV1dN6QNn7iYKEPaljouyMqoA3OhljosLMFQ56O90LJW+poBzFdU3oU1SPmpJ66v+TgGDCgL3c/WFTmKGtLnAI4j+Z9+7gMO9f/czFT48n2sxBfmHddw4psp6KXBUEMF71P6ZBC4mvddxcp8z6H0QgxH0rPobt7/OAxcvk9Xo9/s4PDy0MSJwJ4urn7mMG3A2TrOzs+bqoOzgeGpFZbpWyehyN1VuacBCVgQDyWQSx8fHODg4MBkTi8Vw/fp1zM/Po9lsol6v4+DgAJ9//rlt5kimhFWIaUxxJ9W9vT0cHBwgl8shm80aWKahSiOKrnk+Cxn0TqeDw8ND5PN5rK6ummt9d3fXWA+dr/Pz8+Y6mZubw/b2Nu7fv4+TkxNUq1WcnJxgbW0Nt27dwr179/DgwQNjoukGootpbW1trNaGylNdMwQY/F9dIWTc1f2hLl6VscC44UiwSGafBdAuai/cRUJFpgICOKPYlNXQzgHGrSK16ICz7d7ZIclk0oACF0symTSKKigVkICjWCwiHo9jYWHBhJnmP5P6YvEq0mXD4dAoMkYOk+1oNBoGYJiyyqClVqtl9B1dQUwb1Y1kRqMRMpmMZXdwUTEti/1GlwsBB11ApPiSySTy+bxZFAQy7kRtt9vY3d01QMLMEteK1Q3KgGABTQU3STi7/wcJ60kK7UU2sgFsrnIOQv+ugldLT59Xfdmc+wR6Lj2vgNT903gHV7ErRcprqt+cSl+Fr55D6edJrhk+z3mKX59Vf8NXdcm5/TUJJEz6/DyWwmV9nkcLYi9cQPQyG8eZVj+VBePdOP4cX84FN+tLA8w5Tgzo1DnGFFJ1ZzAAnkYP903i3h0zMzNIpVIAxstVk42mm6dQKKDf71sGIMex3W6jXC4bcAiFQkgkEhZnQcOQ7p9CoYDZ2VkcHx9btiD7ZXV1FblczljrSCSC7e1teN6pC2dpaQmxWMyyZbhmuT7JxvT7fdvBlfd7cnKC+/fv4+DgwPqGcpbP3mq1sLOzg8HgdLsKJhXQXc9xcl2tbEFAX9+7QFpdlcpK63t1XZ7XXjjAIFrU9Dv6+TgoKnhUuevDqu9aAw2B046IxWI2QXk+npvX16IwdHUw5SiTyYwVmer1eiawSRNWq1ULXKLA5w6mfB7W6z86OrJqbcBp8ZTRaGQ7pObzeaMSWY10c3MT5XIZiUTCAjxXVlYM/Cjrw34Khc62HSb4iEQiVrmObo/V1VW02+2xAjIKFDzvdGtjAqHDw0OcnJyMXVfreFDpTRLmqlCotCaBELU4OZ469kEZDi+yBSlGZQKAMytbFyoVoGtdaDYPQRvHUilK7RddK0EAQ10ibgClWih8VVqfc5wWC/D12hU67vxeBRGVkQIDNQb0fDQClK1RxkwFGq+lTRWa9jnPBZyxbEHg9CKQoQL6ssBWgUUQ4HiZjWuVRfbItGraNI9zXWo6l2mQKSWvWRb83d7enlnPnJ/8n/UduOnj7Ows4vE4gLN5xFpHZIDZZmZmcOXKFYTDp3s0LSwsWAzH/v6+sTSNRsOY3oWFBTQajbGgT9a6yOVyePToER49emTu5lgshtu3b+P69esoFovY2dlBtVrFp59+in6/j+vXr2Npacn6hX0CwNwRjN1jyYFoNIqbN28inU7j3r17uHv3rtV6As7qfhBEVSoVHB0d2d5T09PT+Oyzz8AdcRUA6vi4BgyZKcZzAMHxbC4YdlksZUq+cQCDzfU3uzUVtE2ykHgeHkOhpALNtRzJDmjsBnBW5joajVrWBwetXq+j3W4bymYmiLpFWPmOC5bC3/M8U/QMlNJB5b0S0aviJWhhTAhRcjwet8JZXNzsD4I1KgmNPSFDApxtNEdhTvcV/9caGrwvTS/WMVClGkT1a2qmomt3jIKQN5kSTuaLgo9eRHPjCJRZ0GfTrAMFGPQVuwqRAc66BjSwWftGLaRJwEJdKJMAHZ+HFKnLxuixOlf03Kqg+cxAcE0THqPghd+5AlEF5XnMl/7O7Se9rvv/Re08IKBjfd7v3Wd42eCCTcG+Bm+74J5N71vnetCaVbmqa1zlM8GfBrn7vm+GnG74p5+52Qyci6xU3Gw27U+ZNp671+tZIUFenwGrtVptjD1QwMA4OrpPCKQA2HvWElEjmGm5vE83g4MB+Fx34XDY3DepVArJZNJqE1Eeq8Gh46Vz39WhHBM30JbjoHPUNaCoi3iPymJc1F54HQxSYvTNUaiyYIsKDTd4TCevKmBgXFjyVReC7/sW78CJQsStg0/rnhO62+3ajnlXr161Qie3bt1Ct9tFNpsdy8Yg26Bbo+sGajyuUCgYOiV9xoVEgLK4uGjInoFCS0tLiEQitgdKsVg0X2UqlcLMzAzeeOMNzM3NGTuSTCaxurqKZDI5ZgkcHh4il8tZGtbGxoYVgWHhmfv37wMA5ufnAcA2dVPBohH/HAsFDqFQyChJjg2tViJh4My9xbEmS+L7vqWjMRXtZQEMgtAgIMT7V8pYY3KAs/LodM2ptc/3ukcJhQ/z5VWAUHAxZkdBLV/pwyZwURcH1wYtIH4fpAiDAIayBrx/fVXlxX7yPM9SzTUNlWCXAJxCj32h13GZE15Lm4Jfl0XQ74MUahCDdlHT86ml51qW34RGxco5plUuFdACGAMfvH/OJSorZYo0RZKGUSKRGJuL3Fgyn89jZWUFAKwsAbM2OF6UvwBsY0c1WAjWf/vb347Vl2DsBWVGKBTC9va2uSLIUJDB2NraQrVaheedZu9xd+pWq4VPPvkE29vbaDabqFarVmZgamoKh4eH2Nvbw82bN/H666+j2+3i8PAQvV7P9jeZm5szNrxUKmEwON3PyfM8ZLNZzM7OYn9/H/V6HfF43HbcZkLB0dERHj58iF6vZ2mqDNBV44FAzTV2KJMA2B5aXHfUx7pWFQxyLtD9RFnEuXNRe+EMhgopYJzuVSTFY4NQkoIMF6kBGAMMPF5pPb7nMerPZu380WhkG6nV63UcHx9jbm7OqEC6Ibh/CUEBFbAKp+npacts8X3fSr6yFDdwVpdClQBTaZnqpaliRNbcypeLCDhLBWb/khajYiTr4ZasZWExKi/Gb/i+b75V7XdVRC71646NXofHTxq/ICGtVs/LdpFMsoJdalLZAHU/qDWhIDooQJbzlZY/MG65KbCY5L7Q9eAyhDpP9RhVhi5Y5PxWVkBZnEl9wnNqfIfSrAQaBLBKy7rzy71/F2i4jIXOWZ275wFV93oXAQR9Rp2z7ucvu1HmKggmuND17LJJbOr+4PnYdMz0e7WKFXRpLAaVFpUcFSDnCO+JwIbrZTgc2qaRDC5llVGVN2QCdB6ztdttVKvVsdgPPg/LJTCQk7Fs0WgUh4eHlvXBZ2GwKed3UJ+xdAKNbTUS6J5vNpvodDpmRPu+P1a3RGWF/qm7UWUH+0p1gwsmFVzrXKVcIPM/aT267VIAw/O8TQANAEMAA9/3v+d5Xg7A/wFgA8AmgH/u+/7xuReLRFAoFOxmOaHU4lLFEmSVqNWsQk2FpkujMSqXyl2FpO4eyIlDFwGDcB49emSFuGg1UgiSakulUshmsxgMBhZNTPBApMxn4zl4/Xg8jna7belCqlz4vKTxmLoViZyWRyeKj8VimJ+fx8zMDPL5PGZnZ3HlyhVjQIBTK+H4+Bie59miaTab2NzcRDqdRiaTsXK2LEPLVNhJbitd7OpO4QTnJNb0VqVKJykRKsgg/5/S8Jdtz2sOc8y0D9xn4YJ2wZEKXpfd0FdlMNjHqnTZPwQEBJca28BjlNFwAYYKbb5X5c+mbIX+XgWTey59VhVu/I7nY19q//KcZHmCwEbQuOg9qXIL+tPnd88R1M675qRjXXBxGVBzUXse85jjzFgHxjlwHHW8NTaL84esr65Ht9w9z6trlcqRjWmb7Bsqc26/wOy3mzdvIhqN4pVXXkE2mzXWQN3EBCGMf9MiYNwVenp62rZ4oOuYc4Axe0wLBYBEIjEmzygv+/0+SqWSBesPBqdlvtkHDL5kca7BYICtrS0DKACwtbWFqakprK6uYmFhAZlMBjdv3gQAFItF1Go1U+alUskYCzVguKaZFktdSmNSmR5dR8BZpiAwzvqr65NjqHJBgR9/f157Ggbj3/N9vyTv/zWAn/u+/289z/vXX73/V+edQP38nudZgKcrhBXp6cJ2hUsQylIhxgmvljrRnSoJz/OsAAsnHVNnKeQ7nQ4qlYpRS6zMSaEej8eRzWbRbDZRqVRsS+DhcIjFxUWbtLRYOahErewPXaBstOzog9OFPjs7C887rRuyuLiIeDxu7AireVK4B+1y2u12bTvjWq0Gz/Owt7eH7e1tpFIpLC4ujgltHSNa4aqMFAWrT9BVuK5y1j9XCQQBz2cU0n/wHOZznWet8xh1N7jzUpkLV3nqublG3H6iIiDYdF0X7DtlnPSP3/NeXcvFfcYggKHP7R6jSlZBlTIxFFQEksB4kbwg2cBGFsdt+kxqgLh/+n1Qc8HSeS3oHPr87jn+UJCB5zCPlUlmXIHOAV13HC+N+dEtu2k8KGDWeAkqQGZncIMzKmcqLQC2sWQkcrqRZDQaxeLiImZmZjA3N4d0Om3nYTyFlitIJpOYn59HpVLB7u6uGXR0waXTaQNUmqnIWAgy2MCpYUjAPxwOza0+HA4tm4T1P+jqVlYxk8kglUqhXC6jVCrZZmhqmOZyOYRCpxkui4uLGAwGlsLKOUKXPue8zmE12JQtoU7R+aZjqq4wZSRVZig4Vp2k7OtFa+MPcZH8RwB+/NX//w7AL3HBpHYtliCLiYKEwoVCQK1hHkfhSmWrfkEqIwBjvmmXHlNFTwqoUqlYUarhcIh0Oo2VlRVks1nk83kreDUcDsfq9LNw1vb29tiC5RbrKijpg+Mgx+NxFAoFE+7aOGGJxn3ftzQlonEGHTHuIxQKoVKpoFKp2DkikYixHOl0Gvl8HsCpUI9Go4acmXECwOrg05+qz8XGZ+JY8lquEFV0zFcqGD3WnRe6UJTWfA7tmeawawm73+lcI2jQ51GAoApY3/N5mVatxXvUqnJdHwoeXFAwCWBcJCRc0DLpd25/6LPpffNYl7lygUTQ/67BwX7VpoDX/Y3eq+sKepbmGjkvqT3VPKaVy0Z5qH2lTBnXsioUyiEFvIy3CIfDY7Ezuk8Sz0VWxA1q1voO3W4Xvu+jWq2i1WqZUi+Xy6hWq4jH47hx4wZCoRBKpZLFee3t7SESieA73/nOmDHJ3xE0DYdDlEolM0zD4bDJf8o8DaZmej/lr+d5VrRL1zBd2nSXx2IxY8PZt3zOVquFBw8eBLpTdCsBznPGWeg+MjqOalQroHHZUsoplckui6zgUsdT9fBF7bLS2gfw/3ie5wP4X33f/3MAC77v73/1/QGAhYtOwknIwaCFZxfxz/Zs4MTj/yps2Th5yIxMTU1Z8SsyCADGNurifieMoeDE5mC2221UKhWrWBYOh628diqVQiaTweHhoe1qyr1KqFSKxSIePnyIfr9v4COXy40hUt/3rWocmRPmaAOw87FpzES1WkWv18PR0ZFtOczAJ/ryCEYqlQru3btnAIjXmJ2dRaFQGEslJM3HIlq8frfbNTcOF6KLXDlxNWtmenraxtNdBC74CLKSVXHoxNdA4Kdsz2UO8xnO+5xKR/9clkJ94O5zkpoGzor8uP3Az4IyRxQEsK+DGI4gd4L7bEHP6goh/pYtyO2lz8hzuiyHAu4g0OH+uVZW0D261z8PIAWd47ItCGy6r0F99QztD57HNGgY70A5qn1KeehmVAAwxc9GJTo1NYWFhQWrXswUd+4lxQJPDCKnnNDxUCDNmArKfK39AABra2t48803EYvFLEjz3r17ePToEa5fv44f/ehHiMfjOD4+Nr2ws7MzBi6Pj48xGo2swBd3nuYeUG5tmWg0ilarha2tLYxGI9y+fRvz8/Nfi89gMDrfs08JdihPd3d38fDhQ7unaDSK5eVlxONx9Ho9Y3m4bsmwc3x0bnPd0LXCDUO5/tnHHDPKBjVs3DWj7k1dO5NYXLddFmD8se/7u57nzQP4fz3Pu6df+r7vfzXhv9Y8z/szAH8GnG7Fy8JRiiJdYeF2nD6EWh1KEdPCpi+RCpnC2B0UFbS8Hwo5t+4+/Vn0z52cnCCfz6Pdbhta5SQkih8MBkin0xbQyQAgUlO8F9290M2iUXcGq5ESPLlpSopcldngd+xH/p9KpcyvD8AmPyP8lWUAzlIxNStAP+cEVtouyHqcRNHrhHWFsnv/z+gieS5zmNtK8761ua6Cr85r800XscYtKLBwQQjnhDJ5eg32tzInvDf9zAUi7pri/Qf1q2vpu+BCnzPoO56bz/i0bdJ1FFy4170MQAlqOqbPwk5Mcjdp3/6BAOOZ5rHO4UgkYgWrKCvdAE/XZ+8+D4/jmHKO0c3ArRF83zelqJlNnN96ftfSJqsAnLm/T05OzNBLJBI4OjrC1NQUGo2GZV2MRiPL4mCRQ+odzZ7hmOiaUBBOOc1YA8YF+b5vcW1uwPNwOLQ6RmR8NUvOlcmFQgGpVGrM8GJ/aT+r/NV5qTqFfansvSZT6O/cZ6b+UHemyjONkeQ9XWZ9XApg+L6/+9Xrked5fw3gBwAOPc9b8n1/3/O8JQBHE3775wD+HADm5+f9crlsrIMGigQJa1ew8HPtGNaJSKVSiEaj5k8kEvV9f8zX5i4QdiQnJwNRtXwtgcLq6io2NjawsLAA3/etkufJyYkViKHbIRQKWfont3wnO9Lv961EOVG9WhEcaD5Lq9Ua2xzHjQQGYPU6mOs9NTVlBV/oAlGQw7K7VFDdbhcPHz60bBbWqK/X6wDOdrHl4uHveH5ew2UgNH6A/aLghfQ/j+HEpVDWTAulAJ+2Pa85vLKyMraiVGkEATN9Ls5fFeAKKDROiFYLj1N3i64BdZGof9b9TvcZcO9P73FSho5r0aiCV4Wg73X89Dxum6R49RoqNLVPXLZIrxEENtzxmNSCmIfzjtXjdQ5ocJwComdtzzqPdQ6Hw2F/f3+fn4/1rSoVvrpuN/r3Oba0hrmtQjqdxtHRESqVChKJBObm5oy5oFuZfaL7fXANaGBoOBy2uj7AqZxbW1vDD37wAxwdHeEXv/gFOp2OMclkSyqVCt555x27N+B0Xa2traFarWJnZwej0cjWhW59wGdmcSwyKXzGcPh0F21mHWo/9no9C5AvlUqWLksXSa1Ws7kRj8fx/e9/H7du3TJDttls4oMPPjCXD3C2G6oaJnzt9/vodDpfGzMCEgIh3iObMjM0NLn/ioIl4Cw1nx4ABYEXtQsBhud5CQAh3/cbX/3/TwH8NwD+bwD/AsC//er1by46FyeQKpfzbtK11th0Eaiw4CR0o2aDLMogPy0/0+JFRJYsdJVIJNDv95HL5YzZ4E57BDwMZM3lckaXkR3Q6+l9qyXGQQyqOErwAWBMYfi+b8wFJx77WvuNiJz3qQh+ZmbGrutuluMqEva9q1jP89e7FqwKLv3tJBeEzomnac9zDk84P4CvR2PzO1Vsyr6polQlxD/NNtL0UbVK1PJxAY4LPpTFCGpB1ikbhU2Q9R2kvF0D4aJ23j25rwq4XMV9Hshwzzmpuc/4LEyGgmSXdX3W9rzmMRX6pPXN+3dZMQVPamCoq1rZMI2B43E6f13wqOwyvwdg64CfkRWu1+u26zaD7jVmoNFomNzWIE5m67nsjLqD+Mq+YsyJAnY1CBV4yhNzzgAAIABJREFUuwaDBsG6/ROLxZDP503R85mVgVCXoctg8Hq67oPAoTt/XTnsns9d/5MMk4vaZRiMBQB//dWJIwD+d9/3f+Z53m8A/J+e5/1LAFsA/vlFJyI9pjSUKh19CB0QjUcIhUK2A+n09DQSiYRNoJmZmbGIaMYBaEEnnpeBjIzPUNqM98q9PujO4ARmcNHJyYntsMfz0o0SjUbNH8nz+b6PYrFoVoAGEDHOggiYrh6CCvYRUTaDqTihWFrc+4piIyiamZkxX2Oz2UQ0GkW9Xrd0XVaw6/V62N/ft3xwVsJjPAfBiiuAuHBVcAYxLK4vz3UJ8VgVXnyvC/sy1mdAe25zGPh6FoCr6Jk2qgKXx7P/FARr31CgaeE1gj51H+qaUZo2KJiZFgiPc2ldZVfUktV7ctMPaSUpS+EWa9L4G9dYcAGQO+7a17yOzkEXOLv+Yx0bNtcS1+aOk3sPChhcIa7ndK1E9qECoGcByV+15zaPdU0FgTM+l8oQGkiU4cvLy1hdXUWv10OtVsNwOMTBwQF2d3fR7XbHjDD2w3A4NLZAd6KmccRigRzTWCyGXC6HcDiM/f19eJ5n15uamsIPf/hDdDod7O3tGYPLODLuZr2+vm5FtzgmDx8+ND3geR5SqRQSicRYKinjQ7RqJ59DN75kI/C4du3aWJxZu91GqVQyFnw4HOLw8BCVSgUPHjxALBZDo9HA/v6+BX02m02k02kkEgmr60HGX+cQ13MkErHdvPk9wwR4HHAGdtSlr3EwOj/4O9dI1PVwUbsQYPi+/wjAtwM+LwP4kwuv4DQXEbO5VrCiS30QzzuNoK3X6wYgBoPTDcVCoZAFLgFnC1z92PxjCVe3KMlweFrPgcwDJxcV+2g0sh1XtRIea+BrelUmk7FKjKTj3H5QsMWJq8FMRPSu5cn74uJljQteJxQKoVAoWFlxBlZREBCkNRoNqzxXLpfR7XZRLpfRbDYt20QtFXfM1HpxrSBnvoxRbkFWov4FfeYqxMu25z2HucBojbmWndKP2nfA1wEG56++6uLVFLwggKGAwQUXvBe6r/SeJgEMBQ1BytFVvHqMa4kGKXzes1pbQeMe1Oc6r/Segih+vZYq/0nXdH/jvp805/S8an3zXvg7yjQCFO33y7bnPY9dCzdorGiE6bhyDuXzeWxsbJhbgluaUw6yeJTOEfYVXeQcP4JS/o5Mq55HDUUWoFpfX7esPq2gC5ztLp3L5ZDL5eyZi8UigPGYCIIDZqK460tLBSg7waqkWjArn8+P9Vmn07F9n5gmu729jXq9jlKphP39fRwdHeGLL75Aq9Wyap/cOJPubQXvHDPeu/YT75HX13mucSTqZnTXggKMgPn2/ADG82x8CLVIdMKFw6f117WMuE4CtunpadspVZkFuiry+byhYl0wtMJarRaKxaLFWxBIxONxNJtNHB8fYzAYYGdnB/F4HPV6Hf1+HwcHB1bOlaVfyTSQCaArJB6PI5PJIB6Pm2uC4IT32u/3cXx8jFarZRYrqTgOLIEF/WSMq+B1WX1zMDjbF4X9lUqlDCCw/DnZnlarhYcPH1q2jQIMxqKoxabZPapQ+Z1O6CAlw7EOEsBKy7kuFsaN6P08SwzG82ouiud9an+oi03dF/w9MM5g0OrQzBm1OJS6VaWlrAUw7jLj52SgCJJJxQIIvCddUy7Id9lE7Q+9N/7vNpf14asKOVfgBYEedY0owND3vGc9l+tKCro/9x61rzk/J8WUuCDGpZ71M40zeBmNz0FWSO9LjRPOGZVNnAfcVKzRaODJkydjoIB9PBqNxgL7gbOMvVQqhVdeeQW9Xg+PHz+2WIJOp2PVLAFgf3/fQEUkErHaPXp+7mqdSCQsqF6z4dQ9zBL8lF3AaYwZZTHjzZTdpvFHMEE3OI1aPl+n08Hu7q7J69HodLO1Tqdj+1uFQiFjaWq1Gr744gvUajWUy2UAsPgOxmTQ2PS8M+ab96TMm7rWyYgTLKkBr6UiKJsV/Oka5lpj3F0oFDKjeVK8lrYXXiqcg+oKMyJlFofiMdyN1Pf9rwnLTqeDcrls/rZut4t0Oo1UKmUK2xVMRJQHBwdG/3meZ1XjCD6azaa5XygIqIDT6TReffVV2ymPip+17Jkzvb6+boibgIBKh4GoLKACwFwRisD5vNPT0zZx+H04HLaKd5xow+EQjUYDJycnyGazyGQymJ2dxfLyMkKhkEV3Hx0dYWtry+6Xqa/dbtc2e6PCU/+7KhlFxRRWSou7VjqAsZLjOi56DRW8XOS6sC5TA/9FN1ViDAajm8pF+67Vr1aRWhxc2C6DoUwQgEDmQtklCkuCi8sADJ1nyvApuHNZCgWKer/sH57LZSvd/13Fq8JOgZ1eU7OqXACm/eGyGTp+7njy1QUZF80DBRPqzlFA/TIbwScD2xlPoHJlcXER8/PzVnqbAe38PhKJoNlsYmdnB7VaDZubmxiNRuYWYf+5YwPAZPPq6ireeustCyznTtbtdhurq6u4desWjo+P8f7771sRq6mpKdufhHK/3+8bwFhaWrKCVWS12Riwyc3JFND3+30rkMgiXBrPwew8ymsyFmTR+QzqYuFco7FMoBUKhWzvrUqlgidPnpihl0gkcP36daTTaRSLRStLwDmlBc4IUvmMPD+DNRWMq/HjAne3yFoQwCDoYvkGunEvai98szN9GCpZCjxFXxSKPHYwGKBWq2EwGJjiVMHIvGvGYnBA1b83Ozs7FrOhgjaRSCCbzdr+HqHQWaETdU9Q2XNRkn3g4KsgY2EYbjCjxWmokPm8VEq+748FlyrA8DzPno3PzT5gtDVwhmZ1B1f+PsjKJdp2d3RVn3iQj5rH6ThMUkD6Xv93rXJtrlJQK/plC+nzmnu/LsDgnOKx/EzZPAo4Zff0/Pq/XiNIqQZ9H6TI3e/c44J+c14Lcne61wt6HrfpPNF70rXkAhyXTXDByXntaZmFoPnN8/D5LwI0L7K5LE40GkU2m8VodJqlxs9pOUejUTOkgFMLO51OG/VPwD89PY2VlRWkUikUi0WUy+UxOUKlTsODezFRJ3ieh1wuZ7F1NIaYzad9Vq/X4Xln8WaNRgMAxsqHU7aWSiWTv8pse95ZvBQNAi1nzkBYjcHjM7A+BQ0f4Mx9nk6nTSnTSKY8psFKppsMDH8bDoetdgXZZC25oABAZb+uB52DLoBXtkrXj86NoLlJXaTB4peRwy8UYNA9QQaCwS9Ujtyzgymi3AdjNDqtUf/RRx/h6OgId+7cwZ07d8YG6PHjx0YxJZNJdDodQ3/FYhGDwQBvvvkmlpaW0Gq1jOIiUFheXsb6+jrm5+exvLyMWq2Ge/fuodv9/9r7tt7Isuu8bxeLLLLIYhXvzWF3D7tHrWm1Ajg2JChGgmAQIUBiBMmLYSTIg5IY8IthyIABR0r+gPOSRA9BAMGBkQcDcaIEsTEPDhLFAkaCNNEYmQ7kpuem7maTzUuT7CJZF16q6uSh+O36zup9itXtarIonwUQxTp1LvvsvfZa37rstY88ExcKBUxPT6NUKnmvwc7Ojk+IZDlwoD2wq6urWFtb85vWcCt4elGq1aovjZvP51EqlTA0NOR3C+UgMhOaCVJE7JwMrVY7GerNN99ENpvFwcGBnxxEywQfTG5l1U9+MlZJFAx04q9WMbFdjK+S2TVfgEJdvRQMA5AXgLg1r2Q9ApwY5IfLJBsisVazegpsiIREkKEhEquMaSmxDzXPRcmCAV0tooBS/wfiuU029KNCSY+p0kwinqN9pM+0wNGCMZsETqCl7l72IT+tl4ekOTDWs9ErhTwX3cBzqC80rMP/L4uo4Ogdm56ext27d9FqtXzpbcrN6elpzMzMeONveHgYX/nKV3Dv3j289957+MEPfuCr/ZZKJbzzzjtYXl7Gu+++i48//hj5fN6vpltebu/WTMU7MjLi88Aor774xS/i1q1bePbsGZ48eQLnHG7evAnnnAcIW1tbWF1dRbFYxNtvv41MJuN3jqahqaGyra0tOOd8yQDWABkaGvIlCGZmZjA5OYnt7W08fPjQJ5JquJjbQTQaDXCZ740bN1AqlXyoZGpqCl/+8peRy+Wwvr7ua3AcHR1hbm4Oc3NzAIByuez7//DwEKOjoygWi8hkMnj69GmMP/helAEKmGl80nhXryNJjVV7favVinmE1ZAhTxNYMWxDw5yeKYa2QnThIRIrrNghVGzsJCtonItn0/N3AgRrdQOdlSFEghwQhkbYHnU1Mb5G94+6pfm73VSKg6Db3gLwA8eMY7s8ixa/7kGiSkIzfYlu+Q4EF6p81WJUVMr4KQBf3U03N7LFvti+kAVuFaUdWytw7Z893yoqq7iT3OaDTqo4+V0p9F7K1/oHdKwUVXaqMO097V/IA8XPXtz+Se9n3yEJkITuo5a0nmvvGQq96G/6F+Knfnm7ku5j+V7fj98VlF02L2t7LbBjPpfdv0nBqSYx0wiggaiAjrKYSnBsbMzXtKDXgqFtm4hMg4VyUPsvk4kv8VZ5YVcu8T5UzkNDQ94bACBmwPEdKMcpR9WjPDo66usYKdHTrIaFeo75O9tHZU39RaUdaq8NIfPzvHmpx+w8I1lAbq8LzWO2sxe6UIChCpoFSIDOhltaFpWdy11Ns9ks3nrrLczOzmJ5edmvHc5kMrGa9UtLS7h27Rq2trawubn5wvI+Jhfdvn3b53BUq1U8efLEu6mY9MlkFsavC4WCLxvOLXrpfeEgMOGI9yJyZs0JAC+0h6EilppliVmtZc/JywSdUqmEer3ud0HNZDLY3NxEo9HAo0ePYsunxsfHfXGwzc1N1Go1z3BaHEzjdkkMRGYkMFKLGIgznjKuWpA8br0bITCiViqfq/kBl0GhCayTWIVrUohJSa0RCh9dmUMrKpQ8C7y4pEyVhiblWqWtFjWPdQOEem+N7VqrB4gDUcsHIe+K9WroteSTpPfQc0LeJQVmSYDDXsP3tefafBCdK0mftg/1WZdB9AgzbFGpVPDJJ5+gVCrhC1/4AkZGRvDpp5/GCuqNjo5idnYWzWYT9+/fx8OHD1GtVrG0tOSrFwPAj370I3z/+9/HyckJ3n77bS+/uGfH2NgYjo6OfM7FxsYGcrkc3nzzTeRyOTx9+hQ//elP/RJTAL5uhZY2Zyhlb2/Pe8ZpFJKvmFfCkAlXfGi4Td9vfHwcpVIJi4uLODw89B6MsbExv4lkqVRCNpvF7du3AbRDNYeHh95TAwA/+clPvL6wuuH+/fvIZNpFGG/cuOHzDvf397G5uYkoirzXGHiRF2kUqsHJjdM4122Oms7F0OqwJIMe6OTMUQ6x/2m4nwc0LtyDoZntRLVUsuri0fNZjWxqagojIyMoFovI5/NeGR8fH/v67bOzs74Ii7Vq+MmYYzabxdbWll/2ms/nMTk56bOnGY7QUAWTHzUhTxE+B4Hgg/chs9vEGEXKrHtAxqei0XtMTEz4axlyyefzPuGpXq9je3vbh4sA+NUlrVYLGxsbPqOZuwVOTEzE3GbaNuvmVsHK/mSoRD1SSlaoKngIWaAEI/os21/9skr7SUneAwswQko0pPAV3ALx/k8CAiFPQJL1otcleZwUMKj1ZEMt6vFS0BEaJ3ttyPOi7VJAqm1RPtJ+4XXngYrzyPZPN++IfcYg8icpiqKYXGOCYzab9VWHqVj4x9Atk8F3dnYwOTnpV/1NTU35asA7OztYWlrC/Pw8gE4lYbXUuZJue3vbb5M+MTGBjY0NPH36FPPz85icnPRea+YyNJtNrxNoXGqCuSZVU+aSn9RLbEMI6smgF0dBOr0RTO6kUcb9Vlj/qFarYW1tDQD8Cj96oI+Pj7G1tYVsNotr165hYmLCjwPfTw1TJeVlfqec1HmhBgDPU7mrctbeT/PCrKFi56GGw7vRhS9T1epnALx7/tq1a/48ZgYzSZLKcGxsDM1me3dTZuEStS0uLvploYyVXb9+HUdHR5iZmUGr1cIbb7yBUqnkt+Q9Ojryn41Gw+dqcJXH1NSUV95kbE3kaTab2Nvb83FLIumtrS00m03vebl9+zaWlpa8a40xNXojNNFIcx4IYogeuTQMAPb29lCr1TA7O+vXPrO0LUuLk0no/iOjMVxDN50Nf6ilwAmgNTzU9aiJsjxPwYd1Z1uwwONJZBWFruO+DLKgIWR9W0Wr1oH1cihx0udyOR8HpztYC6/pHxDPZ7FtBeLgwI6BCh3tW+tdUvc0BZFdecAcCXXraoEukiYvW/e7bacKeioLC0CsF0bfnQnMFMYWcIQAV+iYfobGoBuIsf192eSc83F75j4451Aul/HgwQOMjIxgbW3N53Ix6Z0WfD6fjxk9WoeFipN7hVQqFV8ga3d312/rwPoOugKOhg9Li29sbPgSAFEU3/KB8vX69euIosh7v8fHx5HP5zExMYHFxUVEUeTLbtMY40oVejVYx4O5ErVazQMX9Y5w+4ShoSFsb297PpmYmPC6gLKdYG1+ft73L5fA1mo1rKysYHR01D+LXpYoinyuCZP0G42Gz8VSA9U5F5uzOk84F9UoCHlS9VPnkjU4LSjheAB4YX4rXTjAoPLmpNeQCdCejHQ7ZTIZv7EN43c8TydqNpvF4uJiLP52enrqlToHZXFx0W8sQ+Q+Pz+Per2O+/fve+RJ19zU1JRfocLsanomiK6ZpMPd+iqVind11et1v5Tp5s2bPvG0Uqn4ddwA/GTnoGkOCT/p3QDaA8qltM45FAoFr4TYhkql4i0UuvmYPEuGUIEdRZ0ETPYf+4huO/Y7JzgVCceWLjtVeHpMmVTvpWSVrkXclw0wgLgFHwIWIaBhVwZp+MQqNObkaCVPAgwFGeruVMUX6ldrxej/vEaXGYdCAFZIMWxDi4lAQUsjK1/YvrO5JtoXClApLJXX2H77ThZU2ffohW/sObY/Qn+90CCAC6ADMKjIeKzZbGJlZQWZTMYvdTw4OMD29jZKpRLu3LnjQwFMOtew3fDwMBYXF70xRNDCQn7klS996UtYWlrC3NycX6FCz2o+n0cul8Pu7q4P+XL13fj4uPfo8R1Y34dViBmOnpubw927d+Gcw/r6Omq1GhYWFjAzM4NKpYKtrS3s7+/jwYMHfr8lhk+iKPJGJ0Ms9XodlUrFL9Vttdq1eW7duoXp6WlUq9UYwKAnZG5uzvfR3t6e31322bNnsf4DOjx7fHzs82FYsItAg+frHOAqRs4tnTMqT6l/k0CGggv1EOq80XAlDWRdGGDpUgCGrZdAZuHvQMfdQ3TK8zWnQnMSrOUFwLv6dImPllqlsmq12qswWBpcrc5Wq7PBGAAf7+LmYxSiQGcjtomJiRji5v00xDE6OoqTkxOf9MQ2aQiJO6jq8k/dep7LbsfHxz3D53I5LC4uIpfLeYZhRVF6j4AXUWfIbajjQIXAd2Sf8zpN0uKyKmvhKVmFoAi6F7feZQMMBQUh137SNdYDov2uY6NhOQp/Xmd5zvZHyKIP/a/zwB7r1s8aEmF7ycOaW6GgNQlg2NAR/w+9SzcK8ZcdD8oM5TP9zYJb+/xQXyZ5J7rxgvWKXDTRq2nd6Jrgre/HSsDMV2OhKgJh9XDS+6n8ScOQirDVavlaEQC8J4HWPQ0lzaVgu+hBGBoa8oraOec9ElSQrPXD38jjDPXQ88vwbr1ej+Wt0Xuoq+1YxIvtIChngcXp6WmvQ7hK8unTp96z/Pz5cy+XrWeAxoceI1DQvDOdM3xXrTZNYMIlwDYfw8ogvY/lS50nHFPyhgUpSXThSZ6M4zGBiBtvMSdCM2jpgt3Z2UEmk/GuOaK4XC7nl/aou5ggo1gsotVqxfYYUTcVOyqKIp9wysnA5xPU8N7cApj3Y8lxAL5oDV1zdO2RKRiayefzWF9f9zF2neiqTMvlMg4ODrC/v49yuYxstl1vnsi9WCxicXHRu+HIkIVCwRd9qdVqGB8fx+TkZMwK1Kxktp/fme1MpmUMke0jsx8dHflYKOOXmUzGF5uh5W2BgWVwVbBWSKvnQq32y7YGrcfCfgIvKpyQ9W5DAzyX48MwFI/ZPyoABbvdFGIIsNk+tkpVr+U7kGfU2tFP3SxPhRcQL5OfZFUB8e3j7T2SxgToJBTbdwz1iQUa+j0EWmz/2T4K3cceD937ImloaMgnhrMYlcoACz4pQw8ODrz3lmW16/W6D0dQfgOdvJhMJuNzMSiHuYcTPboAfJ7dxsYG9vf3USgUUCwWfZJ/q9XC6uoqnj9/7ucO6xsB7SKI9Xodk5OTfqn+9nZ7U1nutE0FXSqVsLS0hN3dXXz44Yfeu7C7uxvrC3rWCRwWFxexvLzsC33VajWsrq5ic3MTd+7cwZ07dwDAhzKYsLq7u+t3lr127RomJycBwHu91ThUI5red4ZmCCaoN09PT30yLFfyZDIZX+5gd3cXOzs7Qbmr3g4FyZQzahBY8NFqtbxOOI8uvNCWjRdxQDWzXC0qWu+ZTMZ3PDsgk+lswkXq5rbkZGF1OgAxQamCTgWAelP4fE4kTeRkBTv1FPAZIQsWiMextZ8oXPksrbpHoUkBzWv4TPVeUEFZgREaGyWbQ2A9HPZ8VZ46Fi9DVtDzHjZ+bs+9bOrFWn2V+yUJBPv/eX0RUqoW9IW8Fvb/pLZacBRqu4KPELgM3SPpHZLawfsneSPOo5e5bhCAwquS9RBSBitosnOeio+gRHO+stlsrGAi0JHDKqM0/NBqtasfV6vVWJ9zSb8mENrwFInLaTVkx+PM4WNCKL0zNrSp84HP4XvbrdwZYh4ZGfHAjGDaFhgkQDg5OfHhFYarVZ6xr0NjZEG/nTs8z65Ws4ZOr5TEyyE50KuRd6EA4/T0FBsbGx79jI2NYWJiIqbIyCTHx8c4PDz0Ba4A+IIeVOpMAKIFTeHCwa1WqzGLW39jfJsojGEUjX3TA0E3IAW6ZvWzNHm9XvcbihFtFgoF5HI5zM7OYnh4GI1Gw1v3R0dHfqM0omsykd0BlYi10Wj4XWS5Gdnh4aHf5EyToZgs2mq1C5Ht7e0BQMyNCHRAH8eH7m4mcFmXHEmVlN6HE45gMDSJkiz80CeAFyaZCrLLIM2zCCl45TWCZQXF/K7KUO8RWoob6hcFjQp+eYxt0c9uHozQX8hKt4BHP3nchkbsWNt8Fftu7Oeke4T6REGLBTAWHCd5GHohBb/ntS103WUT5yqXGtL9H0VRzOOodXiY7MlzKCt4L+4DxaRx8j+9HNb7qAYQQQsADz4Yljk6OvLPVW+xlQdc1dFoNPD8+XNf3py6gedzI7XNzU3s7Ox4j3Yul8PY2Jjvo1wuF8sRYVVT5ucxQfPx48dotdp5g48ePfJ5K61WyyfX53I5DA21K3Surq4C6ISSgA6YoKecvMpwPg1LlZvWI6oymmW8Fajp7xZQ8Z78CxmJCjwJ1rrlXpAuVFK3Wu2EGa6uIMgAOi57Ao3j4+NYaILWPMMKmUxnsx51NSvT03VMrwlzPzi51Oqhy1k9KCFUa61yDjw7XsM/hULB17Dge7DolU5QvTfBAQAfolDmYMIqlRCZnxMSgN+amKRJkfwMeRuU4W2NArYzhGT1HtpvIQWZREl9HELPg+a9SFL+SYrbKmUFfEAYDJxHyqv6XBsa6AVY6PmWLMg4rz9CfROyrpLARbe28DoFC3rvJOASeqe/iLWnfWbB8yDxqpIaY1TSUdTZyoEAkSvbgE6BKwW0vA8VGfPHgE6CLgEGeVE34bKeUQXeoRVNVj6wf+k9pldEixsSmHB8mPNhczPU88x8OSazah6fegwoZ2lYHh0deWNudnYW+Xzey1KuSFHeseBAjRbKeyr90JwJzUNr1Fi5xE8rW+w8CvH4y3qoewIYzrkSgN8F8FcARAD+GYCPAPwBgGUAjwD8ShRFz7vd5/T0FDs7O57ZWK5WX4CoudlselecIulMJuOVaiaTQbVajTEprW7ubqrLnHgeAUZIqNIVZhnfWqRMAuIxrRjKyUP3HT0M5XIZa2trqFarePz4MarVqq/pMTk5ibm5Oc/YzrWX3jIbOZ/Pe4Ciy0G3t7exvr7u28sltCwGRuStrkrnOjX4AcT6zgpLZVIFefRy6H2ImLVKqNYHEX4KKj8VHnbSKfO/itDuFw/rO1iLwoa1FHiqcKOFby14EoU4+5JWCYWt/k7+pjBKAg9sp363/U+yAE+v1ePdPAoKoDREF3LjWvCh97L/h8bAWnO8T5KX6XUo/SQQHBLw54G4JOoXD4+OjvrNGnd2dvwGYrSiVQ6y6GA2m/Xzm9a3Vq4kGKD3lgoeiC/Dz2QyPpGTckzzHpj8TgtZeRmAn0uUswzNVCqVmIymsaahdRZT5HWNRgP37t3D5z//eZTLZb/NPL0Z169fj+UZbG1t4Xvf+573+LRa7WTVkZERlEol3LhxA0dHR35jSq7oazQaPvHfzk8FeSQ19FRWKh9rOgHbwPyMg4MDb6DblX2cFyofQoaA6uOQrLb6MYl69WB8C8AfR1H0y865EQB5AP8CwHejKPod59w3AHwDwD/vdpNGo4G9vT0f02ImMjuRL29Xb5CJKUAY4lBiB+TzeYyNjaFWq/lKbCyrzVUOVnAT7FDxUgnYzcsUqbPdVKaqzMnc9GRwPfnm5iZWVlZQrVaxvb3tmZChFGb/Mmw0Nzfnl+dyC/tKpYIo6uxR8ezZMx92YjITs7w52aj0AMT6WEue6xJVZTwb5uB3Xsdxcc75cdFlyOrm1pUr6g3R56qi4HNCk+sVqC88zLaHiBNRwYUFZRwPqwB5PdAJCRG48p4qPJlIRtCpK6JC4MJaG0kAwY5LCJyc51Hgp+UpkoKIEMA6DwzoMxRchACFBT0vA1JDPGopyQIMeTNC/fqS1BcezuVyWF5e9gYcXerqIeXKBMrTbDbrlZZuAqneWVWWrO/ArReGh4djW5xrYSvKdwB++SxDySqLbI6czgGuQqHAFksaAAAUdUlEQVRnnOcT7DDpUkt85/N5v/T2k08+wdramk/EHxsbw/z8PIaHh31Ie3t7G0+ePMHIyAjm5ub8SpFsNusrgHJ1SbVaxerqql9hwhCUhjA1nGHBRJJXE2jzJUNRaizzN27YqakEfC77X5+RNO85TlYGcOx7yfM4F2A454oA/iaAf3L2kBMAJ865fwDgnbPT/iOA7+EcxuZAcJUCO02VnQoloFPxjcyl2fP6v8YO2fHsRLrkiMxVadpOUrRmM6IZdmHMkAiWQIFomnkVdI+xbQQhTDLlmmh6YriyhR4bZlBT4fI9FQEz1sZcFS01rh4Xay2qh0BzSixjWyFp+y40GawwD5HeR/uev/Faa02HFNJ51E8ets/WSaeuSf7Gd1EhkqTk9F4qQHlvFT4qXLWaoQIM3rOH/gEQ3h9F22U9I6HwC+9neU3bocfVm6G/hfoo6TeVG9Y7Esr16DeFvBIqsJM8GC9D/eTh4+NjPHnyxOdfULZREWp/qZueckXLbasngsWlKGN5Hj1s/E1XzmmdInpQ6J2wgFZXtLGuD8PBCwsLHvDQC8KCjbu7u17WAm3wND097Zed5vN5TE1NeVm6v7/vN6Bk5U56l/meU1NTAOCX7tbrdTx69AgnJyd+63itpUEQYMOf1F/k1RDot14DgifqTBrEodBRNzmr4NzSecaENSCSqBcPxi0AzwD8nnPu5wD8KYCvA1iIomjj7JxNAAvn3UgLTmkCCpcOMbSh2/cyWdM55yuaaUGfSqWC09NT7O/vx5IU1eLjPVksSwfHJg2plaiFVog0dWng6ekptre3Ua1WPWBgcRUyL2OAALC/v+93/eMuewD8ck8yJr02LDLWarWrkLKvdLmsWhgMrQAd5Uams0BBXdjWIrSgRO/HPqFQJ0JmH1or0lqQbJP2t1ol/J40KUIgtAfqGw/zXdgmCgnynMZ0dammBWgqbLQv9L5q8dhz+Szyt3633gr2G9tuwwiaa6N/SrYt1qNhx4vX08XKe4S8DhYAWH7UY9puey/2u72nWlu9WF2vSiGvhSqIEBB5CeobD1erVXzwwQd+l1OgDTrGxsZw8+ZNZLNZrzhbrZY38Kanp314gQCXxQQphxjWbTQaODg48EqbJQWAjneEtSfUo6yKUecDrfaxsbFY2W56G+7evYvZ2Vlfvnxvbw8ff/wxyuUyfvjDH3p5ube3hzfeeAOf+9znUCwWMTc358MXxWIRjx8/xmeffeaBF5en3rhxwxuq9G43Gg189tlnePbsGcrlMh4+fBib5+pZVKND+VU9NCrXlFd1PtP45A7YNHqt0a4GpOoA7WML7lUuqfFv5RXvRQ9RN+oFYGQB/AKA34ii6H3n3LfQdsN5iqIocs4FZ4xz7tcA/BoAj2C1AqB6IwB4hqTlZt3jJBUUVHwnJyd+zbAdWCugbL13Lf6lg87z7eCT0QhWNElUhbYu89S9V0ZHR/0xxiEpxFlMhiBKrbCz/o4tleVyKnp5QqjVCj7+b9816dMKz5ByCQlvFaiqSLsJ2JAytpbsSyqJvvFwqVR6oa1UItYDY3+z3okkRd2Lx0D5W4uxKQ+zr7TPOOfIbyEPgQqhJL4Jtd3ex46TPd4NSISuC3k5LMAIgdpQW+z42WPdqBfeDfVbr/dPoL7xsHPOe1MZ+tC8HgAx2UkinwFxmcjll7xWvbjkTyC+hwV5mO1Rhaj8xd+04quGUGk0MqRCLwPzRDTEzj8assPDwzg4OPAhFoZ1aERxKSrDvtRNzjl/f81LYf6Jlj7Q91I+68Z33bwGeq3qGZUzPK4y47y5lvRMCyqUv/sFMNYArEVR9P7Z9++gzdhbzrnFKIo2nHOLALZDF0dR9G0A3waA+fn5iDE3rifW5YzOOb99L0vVOue8247Xcgmlc8673+hV2N3d9WuOeY5m/TrnfNVOHRSidbqzNAeD9fIJhLgsq9lsYmpqyud5EOnTrVYoFHwmMje+4XKlUqnkY5SMTwJtbwbLyBIxl0olzMzMxAaT5cuBzmoTJiTZpEJFx2QQjctR4ahlS0+CWrIWLADxDYT4bP3OZ3BCWus6lIug1/FTLevQZkDnUN94+Pr16xH7gPxjFbICUCC+I6h6xzRubQFEyAvB3/g778FYuj5HSa0h7UfOCY61FUZA3BLiZ8jTYtusPBRqj7ZJj+vveizktdDzuuVgJPGKjiHPDVmA9l15PAlg8fykZ4bO74H6xsOZTCbSTRE5dpSlVKqNRsPngDFBnzzLipGjo6O+SmWtVsP8/LyXfUx65DLTg4MDr9BbrU5xKeecr3BcLpd9qJjPoYzkPlP0orD4FwA8fPjQ7/g6NzfnQyT0niwsLGB6ehrFYhGVSgUPHjxAJpPB6uoqcrkcDg4OfKkBJvDTM3F8fIydnR0cHh76FSIcSy3cWK/XfV4JdY7yi51zli/Uy8FryL+674fqS8p1ypyz8fWVU603mhEA8iD1mcpa3i+KohhodM7FQJvub5VE5wKMKIo2nXNPnHNvR1H0EYCvAnhw9vc1AL9z9vmH590LQMwToEtCNVxA5iGDEXXaZE/rWo2izhptLq1yrrNigudrFTKrIFRQ6vO5XwiBDNAebN3SXcMuuhEQAUaj0fDV6er1emyHQXo0iJy5jpuuQ92UjGGb4+PjF1ZyqILvBa3aCcBzrPvMInDDIy94QRS8WUWqCFzJXmetHNLLurn7zcP63so3VjBo6IiTl0BA84JsGKSbcuInAYbWzLCuWKDTbxRsIeGlIKAX6/y88/hcGxfW3+x3y6dK3UIo+ru9VxJ4VR60Y8j/uwG8bmT73f6m1yc9I+G+feNh8hytf53nrB3BOUs5SiDL1SME+pRruny+1Wr5BFEAPqTCT/YDZSUVpcogEpWrtZbJ7zT0uKqQ+iOKIu8Fp1FZKBQwNTWFk5MTn4/B91BZyz4iyKrVashkMiiXy9jb24vJMb4vvUCqn/SdLKhOAqTneS+6zSc1EFS38hiPM0cm5ElW2ay60c5nvl8of0Op11UkvwHg9107c/mnAP4pgAyA/+yc+1UAjwH8ynk3sWCAzENhrMJWQQURIZegMi5o8yJ4vQ4gr2NOg6KuZrOJcrkcq4Gvgp6WPetZcCMdAJienvZg4PT01CcX8R0ZtlCBMzIygqmpKe+RoXeB3plCoeBr/nMCcRt2Mi77SxOjrAWpTEMGUIua/UKGI+izzKvjxXchklYgpcyrLkwqUh1fBSrqVbICmedyXG3V0legvvCwJat0rQUAxAGGFs/RBE4VWqSkfgE67mb2kYI4PU8Vr7pNCWbVmlKBw/mpPGHbl+S90PYngYxeQGLo9xAQ6QVsahv13S3/hQSmvmPSPOvFg6H9/IrUNzmssolJms45ny/G/qhWq96zQeOMOV/0StCTqnLVAild7TA/P+/lJ9Dx2tLIJDChfuA2B/SGlEolzM7OIpPJ4Pr162i1Wr4dzWYT6+vrXhcMDXVKm/Oek5OTWF5ejoFzeseZT0Ld0Gw2vfeZuSKaM8L3VSWvNY60jzn/lTgPqOuiqFMqXMdL8ySAzipG9iv7KZPJxMqi21WTNGpUbmibFAwp2ND6JjrW5/FyTwAjiqIPAXwp8NNXe7leyQoGNlqFLNBJZtG10vyuA01G4vU2B4Gdw2WczBZmLQ1+EijwWj4D6DANt42nGwxoJ24yk1pjb1S0th2FQsEXB9OB1eWpGo4h+OH7a19YyzMk+KwnQZW7elwU8SeNF9DJ/Ce40GWq1srUMAzfScM3SXFznQAKMpTxX5b6ycNdngHgxfoSCjD4PhRu2kchgGHzDlTZ6V8op4PXaZ/ae/HTepcsQNFzbTtDpAIqpLS7eSzOO1ev6WZBhcAZ3zXpupCnLikkpMf4fzfSufUqION1yGGCdyY1ah0MAg7urEz3OvMrGBbQZZIWKKt8Jp9zLxDKNqANZKrVKiYnJ309B3oXaNRxX6Zisei3e6c8XV9f9/uP6P4blNUaLh8bG8PCwgJOTk6wu7vrc1Gy2axP/GQuH6stc2UKK4GqztE5Y+c6SQ0u9r/+UabqGISMAz6HoQvmfuRyOUxOTsYMRvXaEySqV5XfNTE9ZPDZ/D7OH21jEl1qzWUVbKrc2ElU2HTlUalbIcCYU6vVihXl0kqYmiTEIjDMYmZIQi1CusY44ET46qkA4ON2/OME5IQkKBkdHUWlUvFLoDY3N/3qkZGREYyPj/t3JbMxRhla6aLMwGPWS8Fr2NdU9PxuxwEIu5iVyOzaRkWzIYvXKju9D5+jbdX/rRKl5+c819zrpJDS1eMWDFDIAvGKm71YvXq/0HEVTvSIhfpcQW/IZdtr2MmOIYnCxwqnXoBI6JMUEnrd+kPbY9uQ5MHQ80Pttx6MXgGFfb5+/wt4MfpC+h6qFElUhJStatQ0m03v7dU8rVarncdBrwdz02zhPRon9Eg0Gg0sLCz4kLMW38rlcpiZmUEm096WgWGajY0NjI6O+vfY39/3u6FOTk7i9PQUtVoNzrXzO0qlEorFIorFInZ3d7G+vg4AmJqawuzsLMrlsq93sbOz41cd0kNA7wg96JTJNHLpbXGusyRd+1c9sQBe4DEL8FXO8s8CXMrB8fHx2LYO6kGx81q9lnyWgi8FEdZIUN1BD+pAAgwyKRvaanXWTBMEsIrc8fFxbBtdtUBUODJZSHdCZafzk4mQTMisVCrY3t72VeC04xqNBg4PDz1TZTLtinCstEnBt7+/7ycUl2yx/dxKnduq83nlchkrKys4ODjA/Pw8isUiSqVSjGmYKArErUG+uypoVezWQ6R9xk9l4JBlaxWREq8jqtfQBV17FEahtvE3i97V42HBhSpo8k8vyvB1kVXi3ax94MWlqd1c7fqMbkrVCiF+13vbnBrlm9D3XpQ48GICpwrGpPfphay3xlp5FkCEfuvW7hCQVnBsn6HX2TlkvUWhd046ZoH4ZZAFv+o6p8HXbDaRz+cxPj4e6xfd3MsuU6cs5YoMLmV1zvmcMxpcukv0W2+95T0XVNaUgdeuXYut1Pvxj3+M9957D4VCwZ/PhMxSqYS5uTlfm2JoaAizs7OYn5/HwsICZmZmsLOzg5WVFeTzedy9exfz8/P46KOPUKlUUKlUfDIrPdis8EnPM9CpTkpvA70t1GWhsec5IfBh/6fCpyxWz696LLmfF0Ebx4dVPOmltt4VbZMCOgIkhnIJimwond71gQQYlpImaMgS7EbdrJFQR2jc2rrj9bttg4Zg1AVoBYcqT2vlc5LqagJr2byKErWC3ipDHu8n9WKxWiXM/5OEur22321+HRRqo+Wf10W2X0PKOnRu0j1etQ18x5BXqhtZj9R5AOdlqZe+D/Ho6xy3ywYZSiEvS8gzp3IvNHet7FRZyXvwT+UdlSHPsYn9WoixmzHCe9l8AQXVQGcVnd6T7Q+FPkJ9kcSjIZ6x81D7MjQG3eZtaK6HxqFXSnqnUBtfltxFCm7n3DMAVQA7F/bQ/tEs0nZfJPXS7jejKJq7iMaQUh6+NLqqbT+v3SkPvzz9rPLCoNIr8/CFAgwAcM59EEVRKFFpoClt98XSILd7kNvWja5qu4Gr2/ZBbfegtqsXuqpt/8vY7svLlEsppZRSSimllH5mKQUYKaWUUkoppZRS3+kyAMa3L+GZ/aC03RdLg9zuQW5bN7qq7QaubtsHtd2D2q5e6Kq2/S9duy88ByOllFJKKaWUUvrZpzREklJKKaWUUkop9Z0uDGA45/6Oc+4j59ynzrlvnH/F5ZFz7oZz7k+ccw+cc3/mnPv62fFp59z/dM59cvY5ddltteScG3LO/V/n3Ltn3285594/6/c/cO19DAaOnHMl59x3nHN/7pxbcc794iD291Xh46vMw8DV5OOUh/tLKQ9fPPWbhy8EYDjnhgD8OwB/F8A9AP/IOXfvIp79itQA8FtRFN0D8NcA/PpZe78B4LtRFN0B8N2z74NGXwewIt//FYB/E0XR5wA8B/Crl9Kq8+lbAP44iqK7AH4O7XcYqP6+Ynx8lXkYuJp8nPJwfynl4Yun/vKwLXf7Ov4A/CKA/yHfvwngmxfx7D61/w8B/G0AHwFYPDu2COCjy26baef1Mwb4WwDeBeDQLpCSDY3DoPwBKAJ4iLOcIDk+UP19lfn4qvDwWbuuHB+nPHwhbU95+PW2ue88fFEhkiUAT+T72tmxgSfn3DKAnwfwPoCFKIo2zn7aBLBwSc1Kon8L4LcBsAbxDIByFEWNs++D2u+3ADwD8HtnLsXfdc6NY/D6+0ry8RXjYeBq8nHKw6+RUh6+EOo7D6dJnl3IOTcB4L8C+M0oig70t6gN5wZmCY5z7u8B2I6i6E8vuy2vQFkAvwDg30dR9PNolzGOueEGrb+vCl0lHgauNB+nPPyaKOXhC6O+8/BFAYx1ADfk+/WzYwNLzrlhtJn696Mo+m9nh7ecc4tnvy8C2L6s9gXorwP4+865RwD+E9quuW8BKDnnuKndoPb7GoC1KIreP/v+HbQZfdD6+0rx8RXkYeDq8nHKw6+BUh6+UOo7D18UwPgxgDtnWbQjAP4hgD+6oGe/NDnnHID/AGAliqJ/LT/9EYCvnf3/NbRjggNBURR9M4qi61EULaPdv/87iqJ/DOBPAPzy2WkD1WZSFEWbAJ44594+O/RVAA8weP19Zfj4KvIwcHX5OOXh/lPKwxdLr4WHLzCB5JcAfAzgMwD/8rITWs5p699A2w30/wB8ePb3S2jH0b4L4BMA/wvA9GW3NaH97wB49+z/2wD+D4BPAfwXALnLbl9Cm/8qgA/O+vy/A5gaxP6+Knx81Xn47B2uFB+nPNz3dqY8fPHt7SsPp5U8U0oppZRSSimlvlOa5JlSSimllFJKKfWdUoCRUkoppZRSSin1nVKAkVJKKaWUUkop9Z1SgJFSSimllFJKKfWdUoCRUkoppZRSSin1nVKAkVJKKaWUUkop9Z1SgJFSSimllFJKKfWdUoCRUkoppZRSSin1nf4/nvkRzIGhXBQAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 648x216 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8XhOfYlDxWAn"
      },
      "source": [
        "def upsample(down_factor):\n",
        "  transform = Compose([\n",
        "                       Resize(desired_image_size*down_factor, Image.BICUBIC),  # integer division\n",
        "                       ToTensor()\n",
        "  ])\n",
        "  return transform\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dwYleih8_zaK"
      },
      "source": [
        "### Comments:\n",
        "The model ran was trying to learn how to perform x4 upsampling.\n",
        "I made a number of changes/assumptions to the implementation to make it run locally, which likely attribute a lot to the drop in ovarall noise reduction:\n",
        "* Choosing a small batch size\n",
        "* Sampling each image fewer times (and so we get less data)\n",
        "* Using a fixed learning rate schedule\n",
        "* Selecting smaller images\n",
        "\n",
        "We see that the model was able to learn some relations that would allow it to accurately upsample, yet it had trouble with the high-resolution elements. Looking at results in the paper itself, the authors indicate that their model converged much faster than my model and reached a much higher PSNR . I attempted to play with the hyperparameters a bit of the network to achieve similar results, but with only minor success.\n",
        "\n"
      ]
    }
  ]
}