{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b0f0f4f3",
   "metadata": {},
   "source": [
    "# Import packages & functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5bad764b-45c1-45ce-a716-8d055e09821a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "import json\n",
    "import argparse\n",
    "import numpy as np\n",
    "import time\n",
    "import random\n",
    "import string\n",
    "import h5py\n",
    "from tqdm import tqdm\n",
    "import webdataset as wds\n",
    "from PIL import Image\n",
    "import pandas as pd\n",
    "import nibabel as nib\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "from torchvision import transforms\n",
    "\n",
    "# tf32 data type is faster than standard float32\n",
    "torch.backends.cuda.matmul.allow_tf32 = True\n",
    "\n",
    "# custom functions #\n",
    "seed = 0\n",
    "import utils\n",
    "\n",
    "def find_paired_indices(x):\n",
    "    unique_elements, counts = torch.unique(x, return_counts=True)\n",
    "    repeated_elements = unique_elements[counts > 1]\n",
    "    paired_indices = []\n",
    "    for element in repeated_elements:\n",
    "        indices = (x == element).nonzero(as_tuple=True)[0]\n",
    "        for i in range(len(indices) - 1):\n",
    "            if i>0:\n",
    "                continue\n",
    "            paired_indices.append([indices[i].item(), indices[i+1].item()])\n",
    "    return paired_indices\n",
    "\n",
    "def zscore(data):\n",
    "    # assuming that first dim is num_samples and second dim is num_voxels\n",
    "    train_mean = np.mean(data,axis=0)\n",
    "    train_std = np.std(data,axis=0)\n",
    "    zscored_data = (data - train_mean) / (train_std + 1e-6)\n",
    "    return zscored_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bae2b2ad-e1ef-4262-8263-6ae9a0766caa",
   "metadata": {},
   "source": [
    "# Princeton data prep"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9572d3f5-17bd-4194-9527-5ca2dbb77a52",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/weka/proj-fmri/paulscotti/MindEyeV2/src/rtmindeye/csv/sub-001.csv\n",
      "len_unique_images 851\n",
      "n_runs 16\n"
     ]
    }
   ],
   "source": [
    "sub = \"sub-001\"\n",
    "designdir = \"/weka/proj-fmri/paulscotti/MindEyeV2/src/rtmindeye/\"\n",
    "n_runs=16\n",
    "\n",
    "filename = f\"{designdir}csv/{sub}.csv\"\n",
    "print(filename)\n",
    "data = pd.read_csv(filename)\n",
    "images = data['current_image'].values[23:]\n",
    "starts = data['trial.started'].values[23:]\n",
    "\n",
    "unique_images = np.unique(images.astype(str))\n",
    "unique_images = unique_images[unique_images!=\"nan\"]\n",
    "len_unique_images = len(unique_images)\n",
    "print(\"len_unique_images\",len_unique_images)\n",
    "print(\"n_runs\",n_runs)\n",
    "\n",
    "image_idx = np.array([])\n",
    "for i in range(len(images)):\n",
    "    if images[i] == \"blank.jpg\":\n",
    "        continue\n",
    "\n",
    "    image_idx_ = np.where(images[i]==unique_images)[0].item()\n",
    "    image_idx = np.append(image_idx, image_idx_)\n",
    "image_idx = torch.Tensor(image_idx).long()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "489193ba-061f-4815-88bc-d247e47e868c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|                                                  | 0/1000 [00:00<?, ?it/s]/tmp/ipykernel_2166183/3649846185.py:5: DeprecationWarning: Starting with ImageIO v3 the behavior of this function will switch to that of iio.v3.imread. To keep the current behavior (and make this warning disappear) use `import imageio.v2 as imageio` or call `imageio.v2.imread` directly.\n",
      "  im = imageio.imread(f\"rtmindeye_stimuli/{(unique_images[im_name]).split('/')[-1]}\")\n",
      "  1%|▍                                        | 11/1000 [00:00<00:35, 27.94it/s]/admin/home-paulscotti/mindeye/lib/python3.11/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True).\n",
      "  warnings.warn(\n",
      "100%|███████████████████████████████████████| 1000/1000 [00:52<00:00, 19.14it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "images torch.Size([1000, 3, 224, 224])\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "import imageio\n",
    "resize_transform = transforms.Resize((224, 224))\n",
    "images = None\n",
    "for im_name in tqdm(image_idx):\n",
    "    im = imageio.imread(f\"rtmindeye_stimuli/{(unique_images[im_name]).split('/')[-1]}\")\n",
    "    im = torch.Tensor(im / 255).permute(2,0,1)\n",
    "    im = resize_transform(im.unsqueeze(0))\n",
    "    if images is None:\n",
    "        images = im\n",
    "    else:\n",
    "        images = torch.vstack((images, im))\n",
    "\n",
    "print(\"images\", images.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b9207a18-90b6-4fab-bae2-fa81c3464241",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pairs = find_paired_indices(image_idx)\n",
    "pairs = np.array(sorted(pairs, key=lambda x: x[0]))\n",
    "\n",
    "plt.figure(figsize=(2,2))\n",
    "plt.imshow(images[0].permute(1,2,0).numpy())\n",
    "plt.title(f\"Trial 0\")\n",
    "plt.show()\n",
    "plt.figure(figsize=(2,2))\n",
    "plt.imshow(images[1].permute(1,2,0).numpy())\n",
    "plt.title(f\"Trial 1\")\n",
    "plt.show()\n",
    "plt.figure(figsize=(2,2))\n",
    "plt.imshow(images[2].permute(1,2,0).numpy())\n",
    "plt.title(f\"Trial 2\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7804edab-5dc2-4499-8a91-91d77f78bd77",
   "metadata": {},
   "source": [
    "## Load GLMSingle voxel data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3a5e1904-4944-4a5d-9b8d-d85f7cd161e4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "vox (1000, 1, 1, 165240)\n",
      "vox (1000, 165240)\n"
     ]
    }
   ],
   "source": [
    "glmsingle = np.load(\"glmsingle/TYPED_FITHRF_GLMDENOISE_RR.npz\",allow_pickle=True) #_GLMDENOISE_RR\n",
    "\n",
    "vox = glmsingle['betasmd'].T\n",
    "print(\"vox\", vox.shape)\n",
    "\n",
    "if vox.ndim==4:\n",
    "    vox = vox[:,0,0]\n",
    "    print(\"vox\", vox.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e98f085f-d20d-4f9e-abc5-f823c90d7f49",
   "metadata": {},
   "source": [
    "### Load nsdgeneral ROI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e846060a-d9c0-43d3-824b-08fa2b4b354e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mask dimensions: (2.0, 2.0, 2.0)\n",
      "\n",
      "Affine:\n",
      "[[   2.     0.     0.   -73.5]\n",
      " [   0.     2.     0.  -109. ]\n",
      " [   0.     0.     2.   -57. ]\n",
      " [   0.     0.     0.     1. ]]\n",
      "\n",
      "There are 165240.0 voxels in the included brain mask\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<nilearn.plotting.displays._slicers.OrthoSlicer at 0x7f8700147c10>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 660x350 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from nilearn.plotting import plot_roi, plot_anat, plot_epi\n",
    "\n",
    "avg_mask=nib.load('sub-001_ses-01_brain.nii.gz')\n",
    "\n",
    "# mask info\n",
    "dimsize=avg_mask.header.get_zooms()\n",
    "affine_mat = avg_mask.affine\n",
    "brain=avg_mask.get_fdata()\n",
    "xyz=brain.shape #xyz dimensionality of brain mask and epi data\n",
    "\n",
    "print('Mask dimensions:', dimsize)\n",
    "print('')\n",
    "print('Affine:')\n",
    "print(affine_mat)\n",
    "print('')\n",
    "print(f'There are {np.sum(brain)} voxels in the included brain mask\\n')\n",
    "\n",
    "roi = nib.load('sub-001_nsdgeneral.nii.gz')\n",
    "\n",
    "plot_roi(roi, bg_img=avg_mask)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f7f2e9dd-88af-4ca9-bd80-17cbe429b6ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total voxels (whole brain) = 165240\n",
      "nsdgeneral voxels = 18419\n"
     ]
    }
   ],
   "source": [
    "brain_mask = nib.load('sub-001_ses-01_brain.nii.gz').get_fdata().flatten()\n",
    "print(f\"total voxels (whole brain) = {int(brain_mask.sum())}\")\n",
    "roi = nib.load('sub-001_nsdgeneral.nii.gz').get_fdata()\n",
    "\n",
    "roi = roi.flatten()\n",
    "roi = roi[brain_mask.astype(bool)]\n",
    "roi[np.isnan(roi)] = 0\n",
    "roi = roi.astype(bool)\n",
    "print(f\"nsdgeneral voxels = {roi.sum()}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "649dc6d0-e67f-4158-a0e0-688952a8cff5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "vox after ROI exclusion: (1000, 18419)\n"
     ]
    }
   ],
   "source": [
    "vox = vox[:,roi]\n",
    "print(f\"vox after ROI exclusion: {vox.shape}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "872216e3-683d-4346-ab83-8beb23ba2dbd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "voxels have been zscored\n",
      "-9.059906e-09 0.99999875\n"
     ]
    }
   ],
   "source": [
    "vox = zscore(vox)\n",
    "print(\"voxels have been zscored\")\n",
    "print(vox[:,0].mean(), vox[:,0].std())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "903c4f38-4f6e-44d7-8186-44c47c77507a",
   "metadata": {},
   "source": [
    "## Reliability calculation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "288e757f-fe51-4c3b-bb3c-e78b18c755c5",
   "metadata": {},
   "source": [
    "### Calculate reliability (corr between first and second presentation of same image) for every voxel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "765ab07f-dbb3-4bdd-8de1-57fe85231d82",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████| 18419/18419 [00:00<00:00, 19213.51it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rels (18419,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "vox_pairs = vox[pairs]\n",
    "rels = np.full(vox.shape[-1],np.nan)\n",
    "for v in tqdm(range(vox.shape[-1])):\n",
    "    rels[v] = np.corrcoef(vox_pairs[:,0,v], vox_pairs[:,1,v])[1,0]\n",
    "print(\"rels\", rels.shape) #(18419,)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b646ecf4-dd03-4352-abcf-6c6ccb54d96b",
   "metadata": {},
   "source": [
    "### Create representational similarity matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "81aebd28-a66b-43fd-8123-fbcd99851383",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████| 150/150 [00:00<00:00, 3604.16it/s]\n"
     ]
    }
   ],
   "source": [
    "# creating img x vox x repetitions matrix | shape=(150, 18419, 2)\n",
    "vox0 = np.zeros((len(pairs), vox.shape[-1], 2))\n",
    "for ipair, pair in enumerate(tqdm(pairs)):\n",
    "    i,j = pair\n",
    "    vox0[ipair, :, :] = vox[pair].T\n",
    "vox_avg = vox0.mean(-1) # average across the repetitions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "55f5cfe7-0de4-4c9d-8523-d77ecb9233e0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "reliability threshold = 0.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████| 150/150 [00:05<00:00, 26.51it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "reliability threshold = 0.1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████| 150/150 [00:05<00:00, 29.16it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "reliability threshold = 0.2\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████| 150/150 [00:03<00:00, 40.55it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "reliability threshold = 0.3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████| 150/150 [00:02<00:00, 52.39it/s]\n"
     ]
    }
   ],
   "source": [
    "# Masking RDM for each reliability threshold\n",
    "r_thresholds = np.array([.0, .1, .2, .3])\n",
    "rdm = np.zeros((len(r_thresholds), len(pairs), len(pairs))) \n",
    "for ir_thresh, r_thresh in enumerate(r_thresholds):\n",
    "    print(f\"reliability threshold = {r_thresh}\")\n",
    "    for i in tqdm(range(len(pairs))):\n",
    "        for j in range(len(pairs)):\n",
    "            rdm[ir_thresh,i,j] = np.corrcoef(vox_avg[i,rels>r_thresh], \n",
    "                                             vox_avg[j,rels>r_thresh])[0,1]\n",
    "# rdm is shape (4, 150, 150)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d7b6bfe-2a4e-4c23-b0bf-df0dcf85386a",
   "metadata": {},
   "source": [
    "# NSD data prep"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "722b8afa-dc36-46ff-9bbd-2f3cdaf5b488",
   "metadata": {},
   "source": [
    "## Load images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9204b8c6-6eb9-4503-9be5-3e73ea2df506",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading all images seen by NSD subj01 in order of presentation (will take a minute)\n",
      "nsd_images (30000, 3, 224, 224)\n"
     ]
    },
    {
     "data": {
      "image/png": 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PhAdTnBNYBBJo1iSrc4pmIvwbWJBIrHFoC1aK6zWSM75m1LM67XoMElCU/5NHpC+XOTvGmpRJETC3BMYZiimUpWZ3t4tUljiSGOvIco0QsLneo1aLSGuCRquOc4pJNyMIAybDinxaUmtE7O3u0Wp0EM6yfzAkkAlFkTOdbDPNRqgoRWjIBnsI6bA6IlABURgDggjNxsY6d995O4EcoeKSJG6xs9Wjno6RypCkdYSy1NKQ3b2S3oFBSY0MIgxQFhNySqR0hGGANSH9QY9jJ05gtGQ6GSFVwPETJ/ngB38b40ZcXX+RhfnTvOtdfwspBNPphDOn76TVmvd3XOcPX/U5EcpHK+vTOQfgfGSRAofAWDNL2zySpnAIKWcFuY8ePqHzB/d64T5zJuE9DjGLVNZa7CzjtLPnWOs/c1ZwgbNYwNrP1UWXSAG1VNEuLapwKOUDX6EdhXaksWRlLiCNBGXlAQpTzd5WgFA+E3U+gGKs/9s6N3uCj1rOgale+Vl8VTtSo9EhyzVL82fo9bcp8jGVqXBWoAtNmEiKoiIMI5xxqECRJDGtTh1davYP+uRTjbUQJymjcZ9ISLQB6wTTbIoKJNZqBpMeAkkYSpyoIWWIQdNqzTGdDGdIE0yzCVo7iqICAuJ0nmMnFDu7B7TnQkaTgitX17nl5qN0Dy4TJBGTaUW9Idna3EcKiGuKNK1D4EiDBFsZdOCoVEmSJDQbDQ66OwRKcP7CWaIwYjzZJiuucG3zgH5/j0ceSbj15jdw6tSdRFGKsXZWj/Ay7D0DIpzwKZS//86gZzeDy4VAOhD4dA/cdedTQnpw4nrlM4suklkomX1n9nk4h5M+tXLOF/vG2ZljiVna6WESBbNUE3AeYGAWASWChU5EyziGE81oWlEZDxKEszQwCiRKCkTgCKSgKBxCvpziGuuvVczSVeEExrpZALM4AaUxr/gsvqod6dSZ13P2hWe5vL5FWYxpNufJMkM11ejK30XTep1hf0itEbK41GI8HLKzk1EZ65GoyP/yiyJDCAVO4ozEakdhNY1mzNJSh+3tLnleEZCQJg2chclkSKvVxjlBpQsMBiUColgQxRFBpHjp/HN0mgpByKA3JcsseTEhUClRJEkiR7c3wKBYPdJk0K3I8gqtMzrzKadPrbCxvo3F0V5oMB1rqqoiUJLRKGO/v8GzL2YkSmFtSbvVYHFxjtGwx/nzz3Db7Q+hrUBpg/OZ2vW65LBGgUOI93OciENU7WUHcz4znMHmAonE4FACX1v4l4P9HKcSzBBDC4evdz4yafA9quv/o8Y7vFQIpwiVwuIwsxTaOTu7HoUSjigSWKPIS0uhDYESLHcUgZJUlSEJBWkiyCuHVxITYB16lmj6um6W0lo9q9UOQQaH+cviSM88/Rij8R55nqGritFwiHOKzsICvV4fYzTj8ZhGJyUMLePxgCRNmEwLQhEShgFFWVFWmigUCAXGOsrSZ9tWV0zGBmchjhQ4RxTF6Aqm4xGhCsAJ4jhlaXmZXrfL8uoi/f4WxvhUadgfsrs9RqqAldVFak1DoQWX1p8niROqylFVIIUm605xJsBWms5ih7m5kJ3dDdKapWYs7WadJCm5vP4CisA7VJ5T5VPqzSZCROAktXiZ9avbJLccoaq0h7zNrMbB4Zw/IEL4u7CxFoR3LCkEZpbaMQMOfG3kPgfF8mmQMRapJHaWLvr0TVw/pId3e+eLSQ+/a+Pff9YvOnRax+Hrpa937KwprHxTeXYZKDxIYGcQWxwIWrWQvLI0E0UjEcSRJFQQBjMAxR5etwA5Q+lmSCU4tLEYo2ftADkDV+BLkS17VTvSzuY1olRhdYWuDHJ21wqjlFtuXePcC0/7fokGFwaEoaTdqVNvdOj2dknThLI0NNImQaAYjccgPdigRECcKCqtMZVDCkUQhBht0FXO2tGTxHGdJ596jIXFZZaWTrK0fJLJdICzmxg9JQxqaKept1LyrKIoh0iZIl1MrZkQR5K9vQlGa5wVlFYxHmfESYQtFb1dy9rRlLIacmSlwUsv7GGsxFnFYDImTVtkkymTsKAsS9Jawt1nvoYwDEkTyy233E6z0QIh0NaiZIgHpg/7JgZjjWcWzO6+SnhA4bBJ620WDWb9Gx+iLBaJtAYp8b97PN4gpEQ4nxEoofCNWg+ZOyGxWKw+hDWkBx+kT+8QPhWUMkBKQRQqlOJlx5KHAIegrCxRIGiloLVioSOpJYJa5IjCl6NkEEpC41HBKPT9KWehrBSVAe0Mwgmf+lmHto4oDMD98d7lF7NXtSOtrR1nMhkjnMKajCROKCvDa9/wNhYXFrl04QJ5MSKKFHPzDQJpSGsxadpEqgKlQqx1jIdTwjTmzOnTXL5yGWMNcSKwtiIMQsospzQVQRCRJg3iuI7WJaNRn1oaUq/F3Hr3m7jtjjdysP08v/lrP0VZVjjrPFTdjnGV5mDfMh5ULK/MkUSSSpeU05I8K4mjhGleosKIKI4pq4rVxRq9/hAJVJVBEBJHNXq9HnGc+ORKSqZ5xpHOMuPJiHFWsJi0aNRbCOc4e/YJbr/zwZlT6Fnt4zE7bQzG+n6MO8SrhPPprQeHEbOIYYVACItkVsfMIo1lhpj5Isj/sb6OUnL2frM7P+BpRNo7r0+wZlibtb6BKg+RPw/LW+Oj0uxhjIVAzuB154giR4yjWQ+JAkgTQRgcfpxHFpWEWuJvCkq+3J+KIoGxUDMKYwMPPBgf6ZJEkGdfWFn2C9mr2pFEMGZ/fw/nLPOLCygVkViYjEYsH7+DU2du4rnnnqQoS4qiwoaWPCvY2u0ShyGT6YjFhXnKKqc/6GFtSS0OGWvQ2nheWSiRSmGtIwwURTFiv5vRqKdUZUmcKtqLhkxvoJWkc+Q2jp64E64WJDUwRlPlnvvW7ih2d7aoNSzWFHQPRlSFw5Sw2+sTxiGVycn7Oc1Gne6BpChKnHMcWVLcc+sql3aGTCbBjPYSs7DQojR98jInL6Hb63HT6TtwrkQFKWEQoHWFkAo5a8SqGU+OGaDgi2yDcA4rBR5I/hzUzXlHehmhUDNqj+/1gCVQEqXEYesIKR0aA8L4z/PdGZyzaHuI9LmXGznCp4tuBkMbH/s8x84Gs56PBzmqWa8nCiVpJFABxJGYsSUOD8fLrAk5Q+teJiIxQxMhUIcN4EM43iOEUkD1Mk/6f2ivakfa2lrHOkGtFmHthEZbUq8tIETG/u7jTLJNlBBUucVUmqrSFLklLy39wZBQ+I57FAVMcUynOcbg04wZyqcrjbWGIAiQyqc4xmiKoiAKFbVGjAocG1cfQaiIe+95N6duuZ9QjBmNe+wf7NKsp2hdMBhOCIKU9Y19Oq2EWphShRVRlDDJC5I0IkZQFY4q01wb9pDC0enU6I8yhJ6ShAHNRkwUtVlcPApYDvqGu+9+C1F9njOnTlGPIqwuOHHyVtpzKxjrwGrkjJDKIXtBHNZA1veTDiFgB4E4ZN75esUIX/fYGcTtkOTaUmiLRJCEjsj5w2itQykftYSAUAbXHcbN+kwWgZSHXDY/SmN9METaWfvHWYQBYwTGzaKc8mhcGAmSyLMQosg3eb+YHULw16F4vjB/7rAp7e1/zK/7XHtVO1Ke+f+wylWYsiIYB0g3RbhrjIYK4Xzqo41hkuVI6VCyoigNVaaRqeLa1g6BiJDEOKswdkocxVRFhTEWrQ1I4dOgfNZkDNQsWmmqUjMea3Ql0OZjTEddertDppMxo9EBZVn5vlOtR71ZQ2ct+oMRw+6UUNVpd+ZJ0xjtNMPBCF0JGvUmo+GQySQjkBCnIXEcs5tr0lSxunICFaRMpmPGkyn1+jwnTt/L4uoZ3vT6u9m8+gKLiwvUmsto60mjSjhAelKosDNI2h9ma2bggj+93tl8XgbOU4esFWgryLUlVArtHNZJKuNriso5Iu2QM8AmMLNqTAgCZ5BKoKQfyRaHqJmbkWVnDVUhPax4yAcMlAIhUNIjcoHyhFOlHEkkCcRhFfe5jdNDh+XznOYLOdMXsy/Nhby9qh1JCIkKFM5Y8ryknB7QO+gTRRFLK/O+kRqElFWBzh0Ij8YUuUVrTRxHOAthmlKW41nOHeDRLesPlbVIFEiJ0cbTaaQfOygLjQoVBzsT2nMxeR4z7j9NICWjwQ5Z3kepgMm0JCUkipuMioxeb4JwAXfeeYbFlQ7b+xc4fvwYZ8fn0JUmjutEi3Wy6WWss4zHOWEoaTZSstJycPkS1jjCJEFIh7YZW+vPs7+3yWqrZL7d5MSJuxAy9ZSawncWfZF9SM70sLUUgkBJrPgcNAyP5Ekp0RbyCpyQZCUUWhJHgkzP6D8zSNo4KIVvkCrp38tc90eHMD4dU2LWR0IihbteJ4VOIRyUlWd7IwXKWJSEevw54UY41Ix9XuGp7cocNm2vP4kv5iuHzd0vxqMTn5P6fSn2qnakWq1BWWXUam1ircmmI3DQbDTIJhlKQW4qcIKi0ISRuE50TNOYoqhIRMRoOLxObUEECAxhGJGVBQg5u3O6GWrnwAiq0lCWGhV6eLzVLBGuT2kb5LZk0B8RBiGjMiNJ69jCENYqsnxEo97g2NEzPPjQQzx39gnuueNBbrv5LsbD93L2pRcYj6fcfPMt7O7tkGcZYRhTqzXoD4ZoA85AFCo67Q5WCMbVkHPnn6LT7vD7/3UTrSe87nVv4PTp27nrrgcRzqGtnpEG7AyaB6Sn7IAfq2DGamCWAjoL1ikKIyiMZzkIISgqX2tZ53zv7bDOkgJrPKImlCAOfJM0kIepl/Vpmu+G+tTS+dmgcga6awtKSmpBgBSOOBLEcYBAEgS+bqsqg9VQSYcOwBpBFPkRDZ9+f27UOWxuvXLn8BQngTZ/SShCw+GAQDridptKSMa+bc9gOGV+YZ75hTaT0WWcNQgpCKOIqtCEoSRJFdpIirxESghChakMDoMKA3SpEQiqUiMCRZJGHD2+gtYOhaTfH5LlE6pCE8UBk/EEV4sQRjPJcyyGyUQjA4GpLGEIZdGn1Qppt2ssLqZsbl3j3rseYmtrg739HrW0RRTWyPKcXrcPThAEMfNzKwSBIk0l+/t7NBttqqpEyYS5dhvTK5nkm2T5NYw+yWDQ4+jRZe6+6zUEgRfU93QcfxCt8ZFVzyKOEjAbzcHMRhwcAc75dK60gsoKosBHHn/ADhExcX0gUBweVOdII0USiOvQuB/WUyAsVkoKbTDG942QvumK884KjqLSJJGcMRS8kxwOGuKsdyZnqRSUlSQxyqd7gZ0xIOz18fDDBuuh+ZrsC4csN+sqG2MYZ39J+kjWWpwMyfOMMAh8R0KF6MoSqia1WpN+q0ev18MYQ17k15uoeVH56Uvne0TGmNm/A4y2BCoALPVajNU+Lez3e1jhSIMUYysqbdCVJU5CgjBkPMlRgQcnavUaMrI4KSi1JstKygoajTmGgxJjdkgTwYVL55jrtNjcusZLL72EMRVp6p2pqjRBEAGKbFrRqHe4Vm5TMxZjLbu7W/R6O4zzAUkskbKinkjanSMcP3EahKCsSpyFvKw8n84cMhAc1hokCis8XWfGQvW/XHHIQfOoVhDM+kduNsLgXqYFMWMvHL42DiGJBJH0r7HWURmDsX5EyTEjqToBbkbREcy4fb4PNRusxRifZgrjfD9VefhNW5+eCw2qAmMCICI0fqbJOpDSEkjxuSA7UsJsUcfn2WEUezmSCZLoCzzxi9ir2pGcc2jtGA4mBIEgCBLuvedrCeMaSkVsbV0mjmPCIAAMzoBBE0UhWoOzhlD5STJtPTyry5IwFCCh1BWGijQKiaKIUvup27TVIE5ijDVoaamKijJU1GoRSNBakAaKOE0YTzLCUDEZOpqtEBkWJPU6SuWEsWb/4hX6g5BGsoDzI2q0Wg2ubWyCg2NHj9NsNlnfuMjqyhqBCjGmBGfIshF5aVGBopbUUYGj0ayRphFPPPkwFy6+wHd+xw8Q1xaxzlxnDHCIOB/WChL86PiMYXCdJuTTslS4w6qRUgow4DyhDq257kw4h5IQKrDaUM7gam0c5ezmrmbwuLGHYIC4/rfypDekACUV1nkiqkOjZj2mKPD9JiGU74XpEiMlaRpgjaMw+pB4QaAUVh2mat6BAoEfg5/B34egxOcCEM75a4iCvyQRSaFAQr3Rwjm49zUPoSvFrbe/jkc/+WF2di6idYWxBikFRrsZDaTCVJ55rBSEofJz/DKkKksClVDpiigIsWiqylBWOWGsCALFeDpGW4O1GhkqdGHQxpLlljBQZHmFsBIbGcJIUQsj1taaTMuSojJo45gONdPxBkJqrFUYU2JthZSObm+HMFLosqLbPSAIQ8Iw4exLz5HEEbV6jWw6odKOTnORosgwpmJxKabRbLC/26XXP6DbXed97/sl3vLW76HVXgT84VHK03AkM8Kqm931nR/PNjDjnIFwft7UWj/sFsoKJTwbwVrJ0FgcEuWut2MpKjub5fHzSf6QWoJA+QgDs8auT+usm0Hq7pC1wIxxLii0RweVsCSRotIOIex1apFQAULgMw7tZloMDpQfZ/F12QzSsBLnJMJZ1GH0+yKohLEVg+H+Kz6Lr2pHWl4+wWC0g0DRbC5y7wNfx2ef+BSDyZhGMyGfTAgihZIKU1WEoU8LAqVQwhfYcZJQFgVRFFFVBUEYMhpNCUNPfsQKZBhQac8SVyLAGEFZeXpNGIJ2jiAMaDZraFNhM8t4ohmPchZXUpo1RRjXOLm6xmiQMc0nNJKQvb0BeaGp1xPm5jr0Rz2vp1AVlNpicZR6zHC8ibWSZiskjpuUhaZeaxCnNZaWFtnb28XaCTs7Q6xRtFpHkaLO+sZz1OvncGaCkos+VZOHpbdnbmMt1ppZ4/VltMvz80DMmNy++AbvjJZACIwwhDJAzxqZlhmHzYnrYiaHYIMQAmc8DejQcaQ0vo4xs5EJJBiw0jPInbG+6WshDv3rvMjKTNth9rlhMKtlZw30QPnR9lKXnqRqDEJKlFJYq3ykOuQH8nJad/hvECipmEzyV3wWX9WOlOVTHI7JdMg0m/KLv/ivCVCcf/Epms06IpC0Wy3yaRdbeQhYCBBKUlUlWoOe5oRKUqu1KcspxpXU6hF6xnA+cmSVyWRMZC15VnLTzcfo9SfsHXjnkwgwluFwyDQfo4QiUKnvpMsAZ1O2twuS+gCLYHmlQzwQmKrOnp3SqNdRMmJ94yLGOMqqQuBIophpWeJcSRhGREFEEIZobfm+v/13sdbx3PNPk+V9hsOQPAtpNlMmkymLCzX2dgcIUg72BjTqCaGSGCzaztK5WePUzcbGOZxJwjdGKxuQG4G0Hia3M0RNWwglWOEjTBw6XAXaemc71G5wuOsNYOMECjlD+Txo4JM5j95JMYsOM/4Ds9rISU/pOZzKuD6iAbjrikOz6CScdxDr0M4AhqL0rBCEmH3Pf5bW/pOiUB3KSlxH9NyMRwiS7c29V3wWX9WOlMQ1xpM+SoEMoConGARZPmE4cpR5xXZWzIbD/AEJZTjLmR1CzopJJ+ke9ABNXAsRclZLGF+iduZapOmEVtigN56iTUYYSoLQQ7+isiilCIKANK6xsLDIYDBAOuj2RgSx46YjpyjKKZIErR3b2xsYUzIdZ6Q1gVQGSkeRVcRRgAwcSRIQhhZnCvKyRBQR97/u9Tz55NPcccddCCFp1udYXra89NKLjKcjVpbbXLp0ibd/w7cxHI4Ax/lzZ3nd/WtYPCvAUwh8RBFCUWlzfUbJc0sFhRZkGuJAYfGRobJ+SNJaUNLLeblZL0pIweeAdl7Gy3lE8HASFutQShIKH+k8/eeQCDvjUVwfx/COa5243iw2RpOGEqVerm8MUBmf0jlTzRjbzjfTrY94Ylb/XWdzO4VUEj2T5fIYy6EUmcVZwXC0w9Vrz7zis/iqdqSiHBKGiqoyKGlRSqACRWXc9cZjFIYcnh2hJGEYESchVaWRFuI4JI4TFuaXuXLlAs6CrgqCKAABcVynPzzAVQVLRyRGe3ZBWSmmY0/GMjMuTBwGBEoQxwlRaJhOukgliIKY8bhiMOoxGg1ZXjpGvd5he+sSWleMRhPCUGAqTRT41CMvqpkcVkAgFBWGvCx57LHHWFhYZmtri3vueQ1FkVNLNXffdR+feeJhqipgaWmFdnuet3/Dt/D4449RVRVaVygV+hQnVERBiDEGbQwy0EgkgVKMs4ppZsiNpwNV1iElGCfQzjuZxjd29XXgwP/8bsaWEDPmuBCHxNSXpbncjGyKmwEWszaPE4fP9LFq1rVlJiFBEHjSrJ6x1ZmlkhYHyiFNReHM9TQU/HVb45vwlTUYI9G6oip9up8pMSOxHsqJMYuGhgsXz/HSuc+84rP4qnakShvCKECbEmMdURx7HTZdEsYxrahBp9Nm2BuRj6Z+SMzoGQzrkbkkSTl58jTWQBTFTMZT0ppnEodBSre3ixAajaQ7EahYMR5MiYIYnUCRF4BFRRHGasKwjdaGxYUm61kXJWBleY3JeIqpLEZpgnBAtzum3Z7D2IrRaEhVCoyWKKkQRJTFiCSVFHnBgQ4IAsmR5Q7rG2M2N9e5/3Vv4Pz5c1SVptVqMRwNuO2Wu7nl5jtJ0gZf95ZvpNVa5Gu/tk0S16k36xgjZ4RSQRgoAhWSZSWxiAiUwhhLb2oZVxaD9CMVs9N8mCIJ6UOBnaVWhz1cj+HJ2SCfdyQnIIkUnXrAfEthrWBaWAZjw7isrrsMh+/Dy9Ox3jd97WJwVMYSKSiNT/HMrJ4LlMNgyG3lm7yzVE/gfH8LH/28Y0vf15LyehSSMzLuYWqJE1hT8dGHf4cL5196xWfxVe1IWTElDP0NrtQWayvSWkS73aRWbzDXWaZWT9lwV5gMRygZEEgvfJgmNcqyYDoecfXKOidOnPKIkrYURYVSAdYUpKkvaPMC8irGmJKyNGibEYSCJI4YDgp0pUmjJjfd9ABlNWRn7znmF2pMppqs3MM4S1X53tVwOOWee2/hhReukiYx1lRMpgW6khw9eoY0SXnhuSfxqh2+txPFCePplFotxrmAhx76Gm655RY+8IH/xvkL59jaWufWW2/n67/+HZw+dTNzc0coK8fCQkKzWfP9GycoSoenD3qeom8F+J7MaFrSm1RY1Iz/BuDH04FZtOC6ft1hJ2mGXl8nch+iYY1EcPeplPm2/70joCwdO92KF9bNjNE948MBXk1GXo9sM0xiNpLu6xpj3XUQJBACrME6g7AW62YTtjPvdp4mOfvju87CCZQBpJvNr4lZXHs5muI0Z07fx7NPP/WKz+Kr2pEsFqP9LyMIJFobdGk5cuoUDz30dWxtbXPl6gWKSvsGoPHVsssNWIEz/rHRcMi1axvU4pQiy9GlRTYif1cTUFYVtrIEakyWFSiZoKQjTjTtVo1sWlIWjmF/yvrV88zNx1Slod6pM5kK9ve7JGlEs9MiGxc4B6PpiDiOqaqA48dv5qWXXuDUyTNIGXLx4nmkAoEkDhKWl1dotTpcvXqJKEpZXDiCsZb5+WW+/dvfzaOPPkK73aIzN89gMOTipYu8tr1EHCUEgR+3NsZijR98Mw5MZclzjZAK5xxlZZgWDkeAmIlDitnv+LAgscz8GgAxI77Oxsln07FWepUhgeXMao35ZkiowNc/giiExVbAfFNwMHTX38v3bmf1zGG6x6yvJZwfd5AzXp8nL2Cs9nQmA6FQ1/+/hJjVVsKPt/vrnpFwxctCKoLD58oZiihn4IMijiNuv+skvPfjr+gsvqodqdlIUUJijZfUFYAUiihqUFSC1dVlnnvucQIVzDSqJXEY89r7X8/dd99Do97gwqXzvHj2Bf7m9/5tgiDgX/74/4eyzBn2p0SJIstz0lqMACYTTavVJEkjkjAibUxp1i1p2GZzq6Lbzeke7CHDhECGjEYDhA0RKGpxSKOuCMOUNJ5nqXU7995xnCSu8/4PvI88d0yzjL29qxTFhCgKEFKxtLTG2toxDusLv1Cg5KmnnqB70OUb3vYNfOd3/A0azRr/9t/+JC++8BmOHT/D8vISy8vLHJlfRVfgrEeoVOAIEVQItBFU2hDHIRbHXDskTAzDiWaY25ls1/XZV+Bl5pqYHfDD2mJGlpgdZj/+3a4HHgi6Pq7hZloRjtVO4ocjM3udJQGHeniz9zMVSlkClRCgMdo7dRIotPVNXt8PC7xuBD7SOhH44Ca0d3bhrkd2gWdHqENZsOs3AVCBrxOrKmMyKvnOv/oefuJf/vIrOouvakcyxqFNSVqLiZBEodf53t65QLNZp16PGQz2wWkWFuqEcZvv/3/9AF/3dW/n9E2nUULx7LNPsr6xzomTJ1laWOThhz/Chz74Plr1uteV1iXWSpI0wJWWINCEkabZMTSSkHziqDckzc6QqooI4xJHyH7/gGNLDSpT0Ms1t966zFy7xYXNKyCGqKiLMUdZWFji2NGT7O7usrF+laoqqTcS0rSGNY4oTOgedHnTm95CFIU88cQTdHt7XNtc58qRy/y17/4ejqyeYDLtsry8DLyGq+uX+f33/Sbf+R1/g9XVZaJYoaVAa0dVWSbTCoGgqiyltjhXEgQBnTQgDf14QmlK8vLl9M3O0qLDyVmv8eDZBdLhp1lxKBGQKMV8TSGdRGsw2szSP0FVWpyTLLZDtBEYV5IXHkAora91lZJINC+99F4m45cYD5d4wwNvY2nhJiKlcBi08HHvkP5TOYUDQnGoQ/GyKlEAMz3ywygLAeLzop+/H3hnl1Lx4ENf50doXqF92R3px37sx/7Y5ojbbrvt+sqWPM/5x//4H/Orv/qrFEXBO97xDv79v//3X7LKKjBDZRR5XhEGvi9SlTk4OPvC4yilqNUVujQooQlCwcLiEseOnfCsBQu333YPN990B0EYUVUVc3ML1BotHnrwjSwvr/LJT32C8bSLtlOWjy+QNjRFZYjCOXb2DzjYzzhydB6LpTkXEIeS6WDAmeUGKhbMzy9y+uYGTk4ZTAYstJp0mk2M0wwnuzzzzIQ8L/wskjbEUcyRlWPcetsdXLlylSAIueXWWwmCEGdhPDkgDBWSmKNrxxgMhxjr6HTm+Tt/5/t4+OGH2drcIFAhS0tLBCqYiXv44iXPNFmuOczYJB5QqKqKSAlCCe1EYE3I9lBTHCoOmYJy2iOM64RhHeEUQgnKMsfoHJN3Odi/wMLqA9xz90lqoaMqDYX0k7PljAQshCAIHXEsWFsMaNUVGwcl27u7fOqj/z+qoiCJU9rzR/jkJ36JyahPu7NAd/953vK138XxEw+CjLDOooS8nubZmWidOYyKUnpAxILBEkqFkJX/aY3AKT9WLoVnjxsM1slZ9BSoMCUrxq/4LP65RKS77rqLD33oQy9/SPDyx/yjf/SP+P3f/31+/dd/nXa7zQ/90A/xnd/5nTzyyCNf8udIGeKEQOucsigRThCGAePxlKAVkRfTGXxa0ahFJPWUqqooS0sYGoyBqvSEFWM1UsA3fdM38/zzz/M3/sbfRGvL/Q+8nk996mH+8KPvZzqxSBUzN18njmF5aYmq3EUXOe1WjSoPaLZC6nVH/2Cf+VqLne6ARRdiRiFBqMmLCVI22do+TzbeII0XmU4z8iKjUW/w7nd/NydPnWI4HPoZq7Kk3+9x8sQJRqMRQRAiheCeu+7iu77ru7n7rnvwAouCNK3zxjd+DePxkJWVVZaWlnyBrkFX+OFE465z4+SsX3YokXXIAHDCIZzGzehBUgjKYsCFZ36LOK1z0x3fRFRbQSrIhufo7l0gG0wZ9F5irt0hFKs4F1FojcmE1+pmpusdvAxlB4GgHhtOLSmqrMG9d38jTzz6XxkMr3Lh/Mfp7feZTiomkx3yScEjvI+/+u7XouJkhiLOJm0PMbfrtEE/Ucth6ifwgIIxaCyBkDz91GfZuPYScZhw1933Mz+/ggskhwOyFveVVxEKguALrmgZDAb8wi/8Ar/yK7/C2972NgD+43/8j9xxxx08+uijPPTQQ1/S5+TTwms2a0NVacIwIIr8VOXOwT6BEiRpQJp4BSGjh+zubpIX01kol5Sln4S9tnWVaxuX+ejHPki32+U3fuM3+Kt/9Ttpt9oIBLfecjtBEHHxwnnKcoA2OVk2ReuSZiMhjEPSVDIYjRh0LQf7Od1BRZxGCNnDVI5pltPp1DFlSBKFNFdqPPv0eQ4OxigBr3/DQ+RFyTPPPM0zzzyFVIIwTNjaWWdra535uSVef/+b6Pb2OH3mJopiyng0Ik6aRJFEypC59hzf/I5vo9GsY7SPREXhBU7KmfTYoVSY04fKqn5UISt8iqeNo6wsOI3ODxgNh4SyALNPo7bI+bMfYzKacP/XfCvKVGxcepTB4BxCpOzvPMVkfAdJ1AYVYwyMpj3CMCGOYqLAs+o/+9knmEwnPPPsZ1hcXGF+6TS33nIfD772Pi6e+yP+8y/9e+ZbIdlwg3JaspdX/JVvfyciqGOtmPVvX27MHjaBHTP1VPC64cLOmscGZyUSS1lVhIFgc+Mct916F0888UFkKJiOp9xy0z2srp4miKIZMfcVnvkv6eS+Qjt37hxra2skScIb3/hGfuInfoITJ07w+OOPU1UVb3/7268/9/bbb+fEiRN86lOf+qKO9N9v7BsOh4Cf6TfGYozBGTEbifYDeF5eymK0T2fisI6eFGxcu0aW50gZoauS/f0djIU//PB/49lnn+TZZ5/GOcuVq5d572/9Gve/7gGGox4725eoLGibs7M9QEjBdKpZO7JEq1lHKkWzlfL8c5cYDjK0q8hzhxAx9WSBQbVHUWny3HH56jWc1KwuS+6+e5kPf7DL0uoRrHM88smHmWYjpJLMzTVZXT3OYJgyHB5gTIUKJI1GhzvuvI/Xve5BQM402ULK3P8uwjAlzyzOFTgnMNo3GSvtCbhmprelrb+jG2MJA4kUkjKvmOaGYSHRVrNz5Rm2r52n1jBMszG9i58kTTqE4QKT/XO88NyjTEdTWkmLwbjk2WcfwxQhX/umb6bZXmI8HrJ57QJJUuf06VsJZQ2L44nPPs4nHvkYxg3oDrZZXr6N//f/8m85+8JZPvmJhxkPHafP3EUU1jGqh7Q1et1dTjiLoAKRzEZBZj0j/EyVvt6QPWQrHCrLKgQaZ6Hf3WZ3d5Os6vOJz/wuZeEBlzQ27Oy+RL22zLGjt3H69H2v+Mx/2R3pwQcf5D/9p//EbbfdxtbWFj/+4z/Om9/8Zp599lm2t7eJoohOp/N5r1lZWWF7e/uLvucX29iHsF4/zfnVJjg8AVVUfoaM2Xi1tAwmfaSMOH/xHB//+Ed529d/M92DLX763/1vCCFZXl3i4qVz5OWYI6trXF0/z0F3gzwbU1ZTplnmB9B0QaPRYTwdECjJcDihPxhy/PgRn8LakLIckaQRUkjSWLCzs0lZWtK4wWQ8IU1TklRwcNAnm1iiSLJ2dJVud4coFuSFpioNgjkuXb6McyV5OcWJnKNHznDi+Cnm5xZp1DoUhWY47BOoIyglyLJyRub0RXMQqNnclJ4tDPN3bHi5CerZ7wEHBzvsHFwjrs3z4vlLLC0u8tQTDzMdbKPdgHaribY5PZfztq9/kKuXPsuwt0mnvcB0rFmcX2B5ZY00Drhy5Tn6/T7XNq/R7e5zbO0MTz75aTqdOjfdfAv3vOZ19PtdjOvx2OPXGGeX+f/+m7/LC8+sE6ma1y3PJrQXKkQ4YdjdJ440oe3xkYf/CydOv47jp96AkhHWSZywGF0wGh8gVYS1hjiA/mSXVvsIcdxAyhjrFCqMsMayv7tJmBicGaKLFqOyQusRKphQVBUybL/ic/9ld6R3vvOd1/99zz338OCDD3Ly5El+7dd+jTRN/1Tv+cU29lltcM4P4cVJnSiKOehvExL7kD8bYhN4ARTlLC+dfYbfExEPPvhm9rsHbGys843f+I387z/9U7SbDSaTMRcvn8PZClzLS9k6T6uRyjGdFAwnGQhBu91krj3Hzu4+B/sjsmxKXkxRgaLZbHLHnWew5QBtNOsbB8RxzU+n6hTlQhaXO3z60fNYW3Fl/UWvUx5ELC400EbT7W3Pvl5Bm4pGI+XNb3krm+u7GOu4cvUS4/GE48dPkhcFSim0Ni8PqUnnBSBnYENprOfSCc+QPpQtljjazYQPfuh3OXvpMzTrq1ROcGz1O1lYnKd7cJlasogK2qwuSdJ4nvPnnmN1ZY0XDp4ijiqKqo8MQi5eWmdpEdJ6h253nclkGyktW7svMSl65Ge3+Z33jbnj1texfu0K165dQijDwgp0h5eYm4+oN+DI4nH6Q83FK88zvxhTrzX50B/8NjI4YHfnCS5feJabbvosK8fvIsunhFHKaLDH7rXHOXr0VkbjKYsLp4gCw+b6WZwwCGVZW72V4d42Tu3TWZjgRE4gKow+IAoaDCYla0eOYU3Kpx557ys+o3/u8Hen0+HWW2/l/PnzfOM3fuOseO5/XlT6k9Zewhff2CfDGSXeCqI44J7X3MMfPTkly0eEQpHWUy9Z3KhTFhVRqHHKctutd2AMpGmdZrPNL/7iLwKOwXCAMRWmMMRJSBjVePDBt1JVJdd+5zxFnpMXlvn5BWq1mF5vDytSjp9c5NzZdSaTwO/0wTGejHnxxQusrrRQQYBUAUrWqNcD0pqgyAs2t7vcdNNxunslWdHHaE2n0+DosaNcOH+VRi0mnxZk+QCjS4pM8/STTzLoZ3zD297BpUvnWF4+hhAh/f6ARr0+a0TOxr61wcpDoXtmTUjvaEoIgtA3JTc2XuIPP/RHrG89R6fpmIy3CMIaj//Rr7J9bRer4aabH2BaaDY3X6RVH7Gz/wJnz1nq8Rz7O33i2LC+t8Udd72ehfkjXL58gcloxJkzJynLit7uNfa2ugS1Bt29LR6fPMpwMOHYiSWSqI2xOXk5YPVojApzDorLZLpgYUGyvTnk5PEWUTriA+//LbJJzsrKCtfWP8KLL3yYMMxpzs9Tjxep8iH97hEm+YDtzadpNY/Q6iyyvXmR0uzy4rMOSoN1W4RRyO5+xXCa0Upb1NOUtdU6obiCiBosLi694nP+5+5I4/GYCxcu8Lf+1t/i/vvvJwxDPvzhD/Pud78bgLNnz3L16lXe+MY3fsnvLZXvZ1hnCcKAoigRRmFLAZEAbQlUhC61b8gisM6Q51PyPKfX7eGcYTDoEyjFNM9mTb2AhbkjRGHK7t4uw0Gfeq1Nb6tLVVVUuiCt19nZ0VhjuHTxGlnuZYe9XK8lnxrKoiKbZBw5chShApywjMYDGs06Dkme5Wx1B6yt3ozpGuJWgzRp0mqtsLys2d/fo1ZPCGVEmkC7vUCgUr7+rW/k2rVrzM8vsLJyAmMkYRSTlRYhAuI4IAoUVVXBbG7HGI0xXrpYCkEQwMH+NqdOnsIcWWZ19Zs4+9IqH/rQr7C4tMxgt8vu7jPUmiu4vM8jH/+vvOZ1X0MgY7SZsLy8hHIR61fWufnme7nrnvvYP9ihqko2N7e4+eYzZNMKJQUPPfg6rlx+nrmVW3j8sx+l00kozZTVtZDCdKmmOWndMjfn0LpiPIYkblPlW7TqCmtKLl/uEaVexKbMczrzApcLpGpijOZg7wJ5ckC7/jrG4wMKfRlrt9ncvcr6ZkkYC7r9nCS2RMqiS4mQjjReYjrZx1VtchvQ3dVYOwZ1QFH0X/FZ/LI70j/5J/+Eb/u2b+PkyZNsbm7yoz/6oyil+J7v+R7a7Tbf//3fz3ve8x7m5+dptVr88A//MG984xu/ZMQO/ApEEUmkNDhXcuHii0wnE4JAoa0vvJM4IC+8XoEVDmVL/vAP308Y1XnXu76dNzz0ZobDAd3eAXev3cWTTz1FUUwoqzFFlfGhD76fLJtQ6cyTMJMYJRL6BxnWKPb3/ZZxvy1BIgkJI6glTfr9Hlmm6fVGVHpMEpcoGVLkdWq1Bvu7mxRZyeXL52g22tx5+73cffcDxGnCZPQIN525m5tuuolPf/pjrG9c5LX3PcQDr/tamu0FojCh1WwhZOj1KuRsYG7GiKu0pqg0Ejf7XQicMxT5BGtLNjY2+czjf8g73/Hd7B6sc+bUbQQqoZgYLg+usLQwRxTU6PYOUCEIXbHQ6XDnrcfZ3HiJ/QNHXhYEKqIzv4hSMYFKOHbsDJPhs4yGQ4SKeOapp2h3FnjjG9/Jlavn+Y3f+E0G4xFJTZFPHYQQK0fvwLC0EpNlfSBGmCGOEhG0WTtep8g1Ugm2tgqSNGHjSkatGSAZEsWSk2c6SARb+8+Sl2NajYLRqESKBqPpBEeBVAkqalLllrwaEacho3GXxbk6+XREf3BAZ7GFNjGb2wMWO9ErPotfdkfa2Njge77nezg4OGBpaYmv/dqv5dFHH2VpyYfJn/zJn0RKybvf/e7Pa8j+acxYgdYFgVA0mgH9Xu77Qfj6wDpLGiae6q81zIQw8qJP7+AanXaN48dOctttd7K2tsba0SP0ej0uXX6Johjj8Jpv02zqBVZiqNdT5udWWFpcYXlxyHDUp5ZMqSpLlo2otxLm55bIJgJdQalHdLsHhJEjUI75uQ6V1kwmI/KsYDTImZuv0Wx0uPmWu7jl5jvp9fa5+eZbabU63HPvA9RqdX73936VRr1NENZJ0w5RKIlmEO0hZyxU0ou4GL+X1VlH5YxfYIzD6oIrl59lfeMsFy88hooc7/tv/wdVpbly5TzLS8ssLC+zs3eZaTmi1TlOcbBJWRgWFhapJwEH+z2ubV8jUIK5zhxh4DiydpztnV3q9ZRQJXzzO9/JU888TZqmrKyssbCwSrc7Yn9vwNe99W384UffR60eMhmPqcYGEQUc7PTIM03acDRqATtbXSpdsbdzjVCGBJFAKke9FqJkiClg0J0gg4zOXJvLF4c0GgnaTDFEHPS9wm4cGdAhVQVhXOPMsTciUDx/7pOYqiRUFikGRKkmLmroSoHpEIY9jBu94rP4ZXekX/3VX/0Tv58kCT/zMz/Dz/zMz/yZP2uu4++CzlpcVaLLnFa7STad0mk3vANUBTIQSOHnlqyxGKfp9fc5f+55nnn6cQaDPtPpiE888lH6w13CSDCdlkgVEkcVZZXjnMHZACEC0oYhiCVLyVGq0jHoT2jU65TlGKkccV1ST1qcOnGGx5/4lO+8W0NRWibTjLXV04RRwtUru0RRymtecy8LCyusLq+yurrG6VOnec3d9/jBuCDkrrseoCwrTp2+jc7cCkoGJEnsB9GswRyObx9O6LjDuR/LIYVa4OXITp+6hbNnPwtCMJ2UJGKfSmvUyYwr6+c4GGxSqznSesTSUpuD0Yh+d4e1dkSrPcdL55/jyuUd3vjQG7nz9rs4f+EcURwhhGUwGHPn7QusrhxjZeUkeVFy2y338OLZZ/nYxz7K409+Gqmm6MpSTCXdgzF5rplr1YiiBGf8xoz5ZcPiasRwUtJpLWLLOutX95iOcsrKb5qw1qOQghhEhXWWK5fGCKlYOdKiMpqssEBBPWkhrCCN2/SHA9aWT1JOBcYIEBWRUtQac5hGiNENDrrXqJxmUH4FI9JfpDXbdaQraKRtBsMRSSPACUEQNkjrMSUFzji0c+DMbGbfok3JZ5/8NE8/8xR33/UaBv0hg+GQaT6kKDOiNEQQEEUxK8urlJtTCmdQMiJSddqtDo16inQJ6xsXCcKIRqNNqac4Z2YyYfuIsKDZFBwcWLSxxFHEZDpkML6KrlKclbz5zd/I//LP/hUHB7ssLbRnKkEWZIgzGm0s2ipuuvk1LC4cIVCRF0G0jkLr6x3+Q/Y1HIrie5ETmE2PzoaH8jzjwQffys72af7vX/p39GPJ3OIcW9eu4LRATVOMEcytncRW8+j8PO1mA3BcuXIBbXa5+ZZFyqLHhz7wW7TnG/zO73wEbRR/5du+j0Yr4cLl5whUSqe9wqcfe5iPffzDXLp8iVY75dr6Dnfc/hre8pY38bu/9+usb1wFWRKkkk6nzqC/z6ceHtGo+zoyTPZZWspRCSQC7AiENLRbdTa3x2hTMB1brPY3E6cNg8GYNImYb80RBhVZmbO4fIKbTh/nwqXn+MMXPks21qS1GijHQTegMgPSWp2sgFpDYKYWSfiKz+Kr2pG6+33m51OGo5y03qS9sMDVa5uA8yqoGIySmMrfdQDf8kZS6oLAWp5/4SmyLPdb4qSg1qhTlCOC0GtC7O/vYEqN0zAtp1S64qWzloWFEUdWTvHOb/mr/NFnP81kOuLI8hr1Rout3fNkcsz2tl+tGYUBlS69TkAUIwNBLc0JQq/1NhxPaHeWCUOFcJZR5bA2QOFI04Qojmm32jOtNuE32Vnjx+FnY/OHoiBupoDqHAg9kwW2vusfSEG9uUBaa3H50kUacYewFrC9d8DuzoDTR9dIopgiU1xd3wfXZ35hkQtXNlhYilnf2OLokTWOH6lxZO00v/feX6GoJjz3zAWa7TbPPvcEH/rI+1lfP0et1uKmU3exs7NLu9Wh0jn7+2MEgt2dXYaDMa9/4E2MRhl7e3s4LEFYggpodVpeEnpaECUN2u0OVTUkmm+yJy3LxxSxcsyvLDIelizOzzPo5QyGU9pzgiRpsL8/BTEhG1lqzRjnRly69AckYUIUZ2TTBKVCHHNsb+0wGMCpE6e47957efyzn+She99GrTbHH/zOK5tJelU7UllYphNNu90BqXE2Jwn8tonJxNNdrDGEYYjCT4Xq2UKtKJptMh+VfnBupm837PdJ65IwUTirqCqLdZJ6PSVOarPhtAKpSiqdMRqNabWWKIspq0fWZgBHkyiW5JMeWTlGSkGcBDSbIUvL8/QnB9REjYXliP7gEv3uBTon7yCNQ4RQZJVjUlgQEaUBwWwgUdjr4h5eVutwn5Ck0maGYPpN4sY4tJ0t83J+rkc4r8dtbcBr7n0Tt9x8FxvXLlJvxgz7PcDwyEc/xMbmNe4/eRtveMObmWsv8viTnyaKAqy1PPP0U5w69Sae+KPPoqf76Lji1lvrTDLFk888TJ5rqjzg2PEGL138LFob9voT5jtzGO049Zoz3HbbHTz8if9Gs12y390GEXD02FFG031Go5IkcBxZm6ffm9A/6FN/za1s9oZsXZtwZK3NxuUuc+05mnMhaa3k+ee3wDrGk5I8S5lbnHDqVARWsrczQbqKa9ubjAZDIjVGJRHLS8fJJ5b1jW1Onj5Nf7iHChLOnr3EMJvy3MUPYbP5V3wWX9WONJ3kYAVF1qU0E0LliFO/SMyJDGM0UgqqSlNar1MtpR+pFs4RhTG6Kq6LXsRRDW00VjuEEjTqDYJAEYSKaTZhoRUhCKj0iOFogqRLGAUU2ZhAKbKiRygranXJ7s6AqqyQ0s8BNWoRQSBotAOCekyZOVqBo9Esefjjv8ru9pu4/7UPkqYt0ihBCEVRGZIoIAoFUnjN66wwlNYSKkko5Uwuy98YrLVUM6FLKR1qNuEaRQHGOPLSiyfGoSIKElqNJvMLqxhbst+4zKc+9TCrx05SOUG93sQ52Ds44PixMywutrm6foU3PPgg29s7pGnMiTP3Mh6u0xsOaTfqXNm+ggwCtDG8+OJLxKnBOkV/T3Pva17DN33jt1AUYz79+Edpd+pkmdf/ltJg9JhRb4LRMNQVZbnvR8q145GHn8YJjZMV2mmcrcgmO7SnbfK88iMc1susTaYZSyphNDFMp1NanZg4DMhtxaDXYJJrZO4I3QRMRJx4eYH5TodpucV0PEClkrKKGA2/ONvmv7dXtSMJKbEWZCgxpcNqR1KLmeYZVTXbpmA0SoUYV1GWOaFSVBYUESeOnabX61JZg9aaLCs8uTO3hEGAEyVl5UfLpQz86khnGQ7GNBsr3HfvG1hYWECJF1CBIAgs5849T15OyXPLdFqC82KMQaiwBga9MYuLCaUQjCc5wsb+NdkUQcXttz3A0bXTRCFkhSUMLGkcUJXWD6gJQWW8mk+h7fXBtFlyNxu4EwRSksaKovTi+UEQUAtidKW91rkSxJFCiBoOS7vZ5NjRW+l2d/n4H76PNK5x05nb+Mn//V9z++1neOTRF5mMcu644yGajSZGJyAiXrp4gWPHb8dJxUtXrlELSprtiH5/Qv9AcfzoGe57y6184APvpygNYah58aXH/d5f7QfpnLVsbx94HTzhsEh0aVhZbbG9OabeCIhrEVLCZFJSVZrmXAOpoHdQ0p5LabQi4ljR3RsTxzG1JKbb1UyznCSMicIGUWwYZwYhQsbTDEEByvcVozQhG48J0pxIeS2HpCH+5AP4OfaqdqQw8bSdyXQ0k1WS9HsjQhUilK83wkCghEA7SRSHjIYTlIpJG03SWoNavcnW9ia93iZmJusUxhG6tMRJRJLETKddrJ2yu7tBFNUQImA8HjLNhnzn1/015udWefSxT1AUI+bm57Gmxnqh6bQVpoqYZBOMCxBU7Ox0cXYegSaJJVeuXEYFdarqEmHQxNqAWq1Gp71EpDzZtKz8sFqpHaVxfjM5M9VQMRvHlspr9ThLpByB8gsCKuPv6kFgUYHXsdPaP5YmIYerMCEgDBXLy8e54zVvII4kGxtXUIGl23+J3uAcjfQocRRwy823cbB/wOWLL5JPR5w7/wIFFVFdsry8BK4CB92ulwJYX9+gVo95/IlP4JxGKUdZllgkaS2lWWtzsH9AqSsvB+AczXpKGgcY6+fI5uebbG8eUGQVDhgcDGikiyyuzNFoCpaX58nLAThFbzAkilcoMnxmMd8BG5EmJSObU5UQRoAqSRpw68k7uHL1EpU2jIaWUAmWVwSD6Vd4HukvyqJIoZxFC8hz7wSmsthAUJVTcIYwCgmCklo9ZXGhjhSCVmuOq1f2ufXmBGshjWvMSg3SNOHI6hGSuI0QlQcHRMD2ziaTzFBVGVJKhsMujz/+CHfe/lqOHz/Fwvwi40nAxYsvAAahNINBwR2338X6xhVGw13AYJzFVHVKPaLMSo4fP85LZy+zvLSANYbz55+nLHMefMNbiOM2Al+7VdZRaL8dwlqBk7MpVefTu1gp2o2IKBZEyivLTjOJzSov7CEEZeUXo1lnqacxVVURxxF5nnHp8gVuOnMbVQU333w34/EBGxvnOHXiFIPhPrFKGHe3eOml59nd3WNhcYlLG09T2jFFIRFCkUaCTv0UuztnEbZiYS5Bign73U1G4z0cvm4TMkCFkZdytZZBf0BlfcM1EApdGabjgs3cYLRkb3fAYDCg1A5TOtJ6iEBQVAXWlggXsn71GlGYUmQReVHRH005ejShlhisLBGi5OZ5hS4ixuMQ4RSt+hy7BztcunyZ48ePsrE9IS8V09IyDN11cu8rsVe1I+nKIEOvIS2tJZsUNNsNnNWAQ4UhZakpS0ejKRlNJiRpSJaNWF5us72zxYnjp1FByLGjJ9jb2+OuO+/hda99PcdPnOL//D9/mizLyDLNXGeR/rDrxzSUIk3adHsDfvO3/y8C2WA4HDDNe7NGrqNWC1EKXnjhcaI4QEm/IMuJgL39TULpN3GXxZD5uRaTYRetR9TmjlAUU5559jM8cP/X0p5bACfIc6817gLh2c7OztjvgloS0qwppNCEDqzWs6lhSbsZI6QkinwabLSjrDRKCYw2FEWOVJYrm88zGO6wvHyaCxde4IHXPUAQhV5wpOhRjSVCCy6de5q77nsztVrKXXfczJUrz1PpRc5fPM+xIysEQUAxrkjSOu25iLMvXPQ3AF1RWX9j08aiZ2tZojj0W/6M8UvenBfblCpgmudoY7CZoCwlURoSJ9LD/zj29jLm5+tsbxmGwxGhqkjiiNFkRJE7eqElrccY3SWKFYtLCTfdrpiMYp5/eujbGUFKrR1iwk1O3Rxw/qyhsIIiK5HylbvHq9qRlAjRukKXFqu9Xlk+zYkSj/9HUTiTqHVMJiVh6TwTIpCEoaUcWra2It7w+of42MMfo91eIJvmtJrz3HnHa/n+/+c/YDKZ4HB87KMf5qabz7CxvsFTzzyJcZrRcES//zRHj66QTf2WhMWFowyG+2jtkcNGPSXLJkxGJfPzNZwVZOOK9uoSQTSPUgGrR5oc9NbZ2NwgCJb47u/6mx7mDgNeOvsUd95+N3PtxAvrG6+7oI0gL62fANaWbKqQ0pIxq5mcxRo1c2KvMiqEII4FYRhhtJf1tcZw7sJT7O9t8EefeR9v+pp3cfLUrUyzjPPnL3Hx3FlkMWV1dYUXL50DWZHn24zHLS5e/AxJtAoy5cyZW1iZXyOtNchKaMyt4dC0OmPSxjy7j71AaQ0CBdb3vJyx6KrCaYiDiEYj8uloKbBGEgQ14iRgNBmiZEylNWFd4IQlCAKSJKUqHVEMpgQnChyWW287ThQJnn/6MrI3Io4TwtAxHGZEkaHRULTaCXu726RpTFUEbFwaktQFeeUjkaocUfLKz+Kr2pH63Qm1ekAx1YCk0WigK0O73WI0HIBxxLFifr6FdYbBsIeUiqX5DuPJlOl0QLGV87GPjTlx8gyj4YgzZ27m9Q++iTid4657vpZKe62Bhx76RpzTjIZdrq5f4pOPfJS9/S0uXT5PVU5YXJpjZ7dLo3mSO267hxdffJ6DrS4mLGg1lnBmTKuR+ghHztziHPV0jU5nkbVjK1y82CQIC779r7ybhbklLwMsLGdOnqBVq3mBxEAQKqgnIVVlCCWU2qGUAzRVNVsl5sAaUEqD0ARB6PUZpMMpwc7OLju7W3QHGwAc7G0zHm9w4tgqAnj2uc9SqyWcP/8pcrtPGCdMsoq7b1pE1UO0PeBTj/42uoD5hSanbr6TZn2Nu+94M1U15lOf+jjdgx1KXbJ3sM/ikmRuvsl4JAgjRWkqrJEoFZJP/Ti7kDAaZwgkrXaLbFqiK7+FXsmYWhpTWa9U5LQg15pST5lrxSwutgiDGnMLIXHq0FXG8MARxRG68pvXtS1IiGgtdtBGc/RYh1rdMZ4UaO3IptAfZjSbCUlHMujKmYrSK7NXtSPp0jCxvrCOE0mtIYmTlOFwMtsRG6C1Xw8SyIQwSAhDRVlqjh5d5ezZDYp8ijbXWFhyxGlCrR7Tai4wmvoRdK+J5vcwSanoDTK0kbRaC+zs7BCGium4QpdDJpOSy5cuc9ftr2VpaYXNaxcIE0Wr0+HMTXewvfsS1TTHodjb3efo604hnOHqlat0Ogtk+YAnn3qKfn/MXXe+hsW5NnOdBSqtmebVbKUJ2Jn6jZKOMPCaCtZYlFTomZKsdTOBxMphbYm1JevXrnDp0nmee+nTjPINSpNjtZcvVSKjUWvw3PPPIVWD1dUVai1mrYIu4yxkZfU0m9vXCGoJUkomEwDBoJvx2ntuR0nN/OoStXrM9vY2d939Onr9Cdvbe1gtKIwmEIooitHWLz2TwlEVhjzToGeqqHJCFEYsdpZYWT7KY489xnRaEoSQxAm1tMH+Xh8pHVUB40lBs9NmNB5zsK8pM00Uxn562rqZ3rsiSWsI6YiDiKRRMB9EpPUUXbQZHBRMhxmxjOk0m9z6wF0898JfEoFIKSRBGBCGfn/pOJugrd/72mo1ycspQlkazYCqChFTPzGaZTl7u13iMMBUlihWHD0lKDKDEwW7B11QdYTfvOVH2J3AOU2t3uHKlXM899xTnL/4AlAQxdIjUEmDYb/H7/z2r7O4PEeeZ0Rpi+GoS7MNaRowVTHjasJ+t8/zzz3rWe9ugcGwT1FUXLp0mU8+8gg333wrDz30Ru59zWsBRaUt1riZiIgf13DOM+Ctm1XFwhEEkgCf5vpFbIZiOuUzT36ACxtPk+cjNnY32NrYIa5FrK6lBKGizAyT8QBbGVRUIVSbIpuy3+vTrKckUYvJJKM3rBjvDhFa05lfZWcno9k2xJEkCC2/9pv/ge/6a9/D//2rv+Ib4q4kjhJsYJFSMddqg6zY2+/5xQbW10eBEoDCGkc+qQibdXZ29pmMS2TgRVqUjLFVzHa3j3UVy/MtotgiwpCsGFIUhoO9EXEYUqvVQYTEiQcnjJFekno0YZrlZNMIXYbsbk8JxNgDNrHfjqhkjSvXLlBUf0nWuoiZ8oWxXonTaTCBnanqWKIwIo5Djp+IOXo8YnNjgeef20MYwXSSU5bGb4azluFQ02ocQxAyHHRpL8Reysn5SVLwhzcIE+bnlzh67BhbO1cpS0E2LQiajjgO/GiA0PR7Ay84bxyBU2ys71KWGWXuxQrjOCSp1Wi1FxkNNCePnyJOEjqdDkEYcunyZYqqYnHhCM3mPO5QVBu/zc4LMwnAb1xwcjafdSjX6zzUPZ2OePSxj3Du4qMkDU1eDplOCywJZeEQuoa2E9rtlHF/RCAFcayZTic00oThuKTR6mCqisHeCCckS0ttanHKxQtdFpeOkMQ1nn3uWXZ2NxlNDzjowjd8/Tdw/vx5nBWsrZ0gTlI2r60zmUwJY0EQuNnkLigVktYjTGWptENrS1WWZHnmtyIar/CkLUymJSsraxTlGF1NUaHFmYh2O8XUSvq7EfVanSSJmV+sMxll4OmIngrmBJ32POPxmGYz9eDEaEhSC2h1GpSlZmtrm8WFIyzMrQLnXtFZfFU7kpqlNDLyS8FUpNBOE0pFaTKSNOZ1D7U4ejSkP9xjaTVlcTelqKAqQna2e4SRJEklQRijQscdt9/Oc8/+IcPsGq3mCqurNxGoJnOtZU6cuIWyLKiWFnjtfa/j9Q88wNbWNS5cuMhBd4+r6xcIwjpFaWi2GhhdURUVc53WLA0MMbpAG0MQhpw+dQu9gwnPv/Asa2sn+aZvfCe333YXt956Jw9//GMcP3YCJyLK0mfrduZMUTDbC4Tn3l3XrNZeyMThPCMeR1FMQR3QaKZsXXuJSVFw7x13k+cVxjg/1CYc/YMujVqDdjsmCBvkBoJAcfLYKlVh2dvfp95I2NjeZ2FxDukKtrd3GE4KLNvsHyxx7OgardZxtja7zC90CAPJnXfcQbt9hM88/gTWVajZpvM4quMoaDUTqiLEVIKJHvuFCM4yzUtAUOrcryJFUFQZAsH29hZpmiADyWA4Yn5Osr/VZ26hxtrRBTrtDqUesbMzpao046wkUDFp7NeGGldx4tQS1gjqp5ZJ0xbPPPMkSwtHOeju0+v1WVkW9Ae9V3wWX9WOhBBIESC08yKAkd9tFCpJsykIQsHmFc3cnETFkkl/wu5WTmuujjYVUkrKUrOy2qFek2jb5YmnPwQVbFy7SJgmdBafQNDgNXd8Pe1Wk6rMefLJR0mSkJWVE6ysLPHQQ1+HNo6tzXXyYsInH/kE9953L+9736+zv7PLoNelXq8zmYyI4xrFpMBWOXvdSxjpqOyQza0XqMq3cNDd5tyFp7jv3ntYWjrt1W+E9JK/DiIlSOPAb9SzEIVer9ojeZai0ggBZ196miiO2d/f4bd+6/eYTiecOTlHiGDj4kscXV1ju79PoTVRLAiDNoWF589u045SlldWGVQT1tZOcv6F82AKDCG33nGa4TDDVhonDLqasL1ZEcxEMnd3u/TGG6hAMRhmGBPSbHYQwtGstymrjMGwN2NulBhdgVUYI4jimFooyfKSOFBMJwV5VeGQSKewGALpRSGHo4okiQjDBrs7I9yMDfGWr72Hxx77OHfdc4Iw2EMbMBV+rWdNEoUJq0cWKArN3Hyd5flbOH3iNuY682hj2NnZQ1cVly5eZMZwfmVH0R2uKnsV2XA4pN1uMzdXx9oKFSivARcFSOVoNEKiKKCWhNx0psWRM9DvD3n2iYJ+TzCdTJBSUVaWJA1oNmM6C5KllRaLnWWyYUhpxzhpUIEiDGLS+AjWFnR7e6ws3oqzIS7YYW+3y6ljr+eb3/n/IAgCpNME0tIf9PhX//pHOP/Ss8wvzTM3P8/O9jb1Wkp3t0+9E7N2vEParJOEIXFa0G4tEScJWT6hHh/jgdd+C1KlLC6e8CPkkaDTTFDCb2TQ5nB8wlGUBWEYs765wfs++Ivs984xGmVMJ5ZpUVBlUzqdhDRwLDVSpEypLzfZ3cu4euUKx1YXWFpZ4YUXnkeJgMVmiyiSNJt1rlzZYzSZ0GzVCSPJILMIXZLZikajRplpavU56vVFcBPmlxaopy1azTmefOYzjMZj2q1luntD9vcOGGX7OKOptKUWRWAc88vLDMdDJtOckyfPUEwzNq5tQCAx1lwXewSNQGIqN8tCBM1GkzwrmJuboygK8mxAWlMYaylLRxhLVo+mjHqWIFToSlOrRyyuprSbp7hwtgdOMR6PGY730KXlxPETZNMxTz55lsFgQKvV+hPP5Ks7IjmDUl4UUhuD0ZqTp1ocO9am2TyBtAV5ucnZ5wr292Fzo8IYgxCSOIqJE0FaUyA1iMDTVwJoNEOGI8n2/ggnNHOdhGnWY+vamHqthrUvcmztNKOsR6OlKc0G/e5FQtXmyOoaSkkWFvwCZSEFTpTsd69RVhpZAkpgtGZrq8d8lXP8ZIcggF5/G6lC5tsnieKEZ174A/Z2D3jwDd9GWl/g+JGbmEwmJJGi1GCtRErBZDpgfeMK8/NLfOJT7+WFs59mPMpIkgaVLkmTOvmoYDRyZGZKXIEgpzKSdqvOsYU2jTDg0uVLOCMorWEwnNDuNNCDkkat7beSG4cwkASSaWkIZESa1tHVmM58yqDfw1nBnUea9PaHFFWNm8/czVPPPMqV9RcRTmCcJU1jsokhjSNUEHjmRmWQIsWZivWrV/08krBUlcY65yWmnZ31nxxBoEgihROOSTbBWctk2iefljTqAUVWEsc1nMvQlWE8cJTaMhwVLC8uIYUX5d/YvogJNLpwjMY5zgmarRZHji3Se+WZ3avbkWqNBCkc80t1ptOS8Shnf09zsL/N4qLjplMNylKBiLjt1jlCMWR7e58wlqwsdxASwlgyGo8YT0vsviYUPaTLUEFIORWU2hIFliQJKUsH1nL06ALdwRa7u/uYytBsFXz44f+DWrLG27/ub9FoLGAxCCdIVERvZ0JroeVZzmWJcRqklwyrNxJ6vRFRECGVQVcl/e4LzC1eI1IhpbE88+JvcmT5Lpbm5nnh+ZeQSvPiS2dZWVnDOcvO7jp7vatY67i2d4HhqKAeLtNut7h89TKRqIHLONgb4HTJdFzSriWspSPkRKPznOd39hCBojEj5i7NL2O142C0T6YFSRjQatap1+vs7O9j0yYYy6jXJ6nFXL14jWY9Zu3EcTavXmU8OqAoCo6s3MHtt72GF879EUnUYdv06Q8OqNVrhKFkNJqCEXS7+5ROUK+3GPZ7WDNjhitJHEYovySJoqpwCq/hLTw8X2ofpTIriBJBlhs6nSPMLyxw/vzzBGHEoJdhrCWJ6ywuHGFn7wJSNJGioD0n0KYiSRMmvRiD5cVzL1Da8hWfxVe1IwWRoDNf574HVtjZGjMdJWxd22Z+bpH2vPJ7i0rLuNT093eZZhlCOlQgmFvy8zzjsaHIDFmmcSZgxw1YWVEETnJkJeDyes7ebobRQ8oCXA10nmDslGIsGA4qJsMhVQW1+pD3f/j/4vWv+1aCMKHIc5LAr9nUpZ6Nc/hrLyuLsZp+d4rDEAaahbkaINneOvA7ZOMIJVKcybi2eZaqKNnauUZejJlMJ1zeyglCKIqSIjNESUA+LSkLQz7eoT/ZwVoFKFqNFqaqECIhiATDMkfsD0iTMUmaEMiAJExxhSEJFf1hl3FvArZEyzqnji9gtWZ7/wCLIQrwQvRTA2XJzcfmGfT79A/2cApajWWqYshu9wUOBvusHV/hYHfKg2+8m08/+jj3P3Abzk157NMX2N8dIZ0CDLosSeIIKR1h6CWDtTbgBAo/KmGsQThHnARIBUURUuQVMpBeJEWE9Lp9xlmXpBb5jS5KAgEry0dZO3qc7vASDsV0WhLWQQWCuG5RKPZ6U4LQ0grVKz+LX+az/Rdqi/MttvdGPP/0LvVmwNLyPEtLN3P82Brd3jWqacY4G9GsB8ydCCnygPNnc5rNhM2rFZUuWZhrE8gAZ0rSKKbZrDPNB0yKAOcUURTR60/BRhTFlJWVGrm9ynhQktQajIYVa0duodlpMRxfZvPaVfQ9Yz796UcYjfqkSUScxlzb3kWECqMtcS3EGUsYBQz6GQhYWa2TJHVeemmLKAn87NG4RAmHNZpGO+ds7xpl5bBa0WzEFBqMLoiEIHMVO5tj2u0TtGLBcLpDmZWMBlOwu+jSS4eduXme0XCKMy2SNEXIgo3tPabZlLm5ABU6IMRmOXEQEcc1emXOtBix0KyzOZiwvLpIPZUUwwwX19gfjdjt98kmGaePHKfbHxCEECZtctNHFwWNdJE0nhIGOTffVCPPNpAovubBu+gNxzTrbX7rdz5KwZQ0rlFUGVXlWSUKRRD4rRkigAiFLS1WaJwIaM3HVNPQp7NpikQRhIL6nCSbSAYHQyyadqtJf9Bja+sa07EmiCZ093PCEXQWUpy2SFmQ1AKy4QRl/5KMUbTaEa25Y+ztDikySxT0WV7qsLt7lcA5ptmAKAppL6SMqyHtuTnm5vzhrUq/l6fVtMRxQlGN2N8fooKQVrNBt+e179rNRao89yRRG/At3/zdfOwTv4ewOUliQSikTNnc2MOJnOXVOptb59nbvUZ/2KMlLUHka4GytISRoplGTEdTSiCsBVTGsbPdx5qKOE5IU0gTS9hI2d8fMZoonPDqOSqQmEqyuXlAUZVUhebEqSV0kZNG8+iJZH6xjbMZcaPD0eWQstJsbm0xHPTpH2QcO75MZSTZtOTq1QOixFGUgm4348jaPLYoCaOQ9kKNCOjvTrm6tUNVtdFW44qc0sSeaV5LiefadAc9esOSvPBC/WWes9PfotNqsbK4yHQypZoUvPjc85QFHF9rsb035OjxJRpxyEc+/FmacZ24lSJQjA9GSOWdyFUWjSWpJZRlQRAElMqhK0WsBGEQMMynVKVjcalFHNa5tnGVopSsnTiGqQzTbMJgOEVSkBcFxhlGkzFVWZFPLNORJm1GICqCMAKlqL7S2yj+oqzTieh05qk3EjY3t2m0ashAoLOK0gg6i4ucO3cVkVY4FTEcFfQGQ5YX2vR7JdPM0T0YYo0mVAolHNlkSiQipJMoArKpRoiAyWREEAge/viH6HbHhIFltLfPaFiwvX0NKSUPPfR2nHNsbu7zXX/te5jrdPjg7/06iYVWu8He3gA0FFODRGHKiigNiCVIJLvbGVGkOH36FlrtGi+dfwFdGb8M2sRsrA9wOE4cX8UJRaUFy0ttotCvcrx6ZRNjdrlyRXHLrbfy9rd/KydOnOaRT36Cq+tXSOIaVR5y9OgJDvq7VG7C0WNzniZVahaWOgCkcYQoLbYwDJWh0g4ZRgwmBWkUMhj0MS6g3QkpDnrkhSNOEtppyM61TToLNY4eWeRMepzBpIctBM1EMaJiZ1vTWagzGlq0SPj0H13wI/mZJQlD+r0+MpCEgSKJI4QTVNaQNlNKPSWOA5rNGvPzcxRFzmQ8QVjB6ZtW2bk2Ynery5EjCVYLqsLR252QTQvKwmC1b2D3yyEOh5QCGfgF05WxlEVGvZ4QtzTIglz/JeHajXJHtndAkgpWjqT0Bj2wbRaiJoNizIWL68wvpOzuVmib02o2WF4+wmTYZb9XUmQllfYFZZokgMG5mG5/gpIxxlqKckRVGZQUBJHg3PnncATEQcrq6s3ccnqRJA3Y2rnGa1/3ZtqdI17+Sga85a3fwuOPPcLB/gaulIRB6CObth65E75TrwJFNFsIrLVje2vM5csDlKpRVEMssLd9gJAKbSvyokQGjoXFFr3+iOHUcLAzme16EqTtmHF2wMc++Xvojwdsrm9jtGN+XhCEE1pNh64cWTagXU8Z9BRJModQftXnwSDnyJEVjp8+yVOffZJGElJaTan8jj50yLAo0bOfRQqFKy22yJEOxgO48MIV3v7ON7HxmQ1a7Rrr63uMxzAspzCVdEc5C8tzvPYNazz5mXNM8j7jvCCsBbgQlIv81hAHgQjBWObmWswtpBijCcOKKAkYDSuyfMrKyQa3dRb49MfHbG1voW1F5GJGo5FfPiYCcH4SulZPaTRCSq0JQr86tTKG+fkGeVFwsD0liBVh+Mrd45UvgJnZww8/zLd927extraGEILf/u3f/rzvO+f4kR/5EY4cOUKaprz97W/n3LnPp1l0u12+93u/l1arRafT4fu///sZj1/5NOKh/f/J+9MY2bLrMBf8zj7zOTFHRuScefPONVexyCpSKoqkSHGQZGt63Y/dtuDhwepntwT4AQ11w7DRLVkNNWy/blt+gP3PlvFsv3bbzxYsW9Rk0RTJYrEG1nhv3THnzIiM+czjPv0jymzLbspFQ4Jd0AYSuJE3MzKQuVacfdZe6/uyIkISkUUheRTjTSL8cU6ex1SiwnYa5IVAURUoTPKoRNGm9HcqVtdsGq0ll3s5vCfe49gZGLqB67ZZX79MXpTLgTNVpcwhTZamuJWVNT7ykRf40R/9E9y8+SF+8k/8BUyrjnhvC1ahUG+s8ML3fWbZfV0u+8WkZGnmlhJFXfaWpWlBkhaggGXbJEmJaze5cf0pKqlDpVJWKn5QogqL0cjD1HQEEtMx0K2KRsvGcS2qqkBWOWE6J0qnGKbk6tVL1BsNZGXg1my+9cpryKLg2s4uNVGj7zaoWw7+IiQPU8oKVjZW2Lt0iTiXpDlUikpVgKgEyXtos/kkxvcSLmYh+2dzjocBaSopcvD8mG988zb+IuWt1+5zcDDidDhD02zyUhDEIUdH54wHIXleIIRGKSWqEEstZVVgOhqIZW9hWZYItSAIA8qy4mIQcffWiMBPMSwHwzAwHZX+Rpssy5d2kvc0P2VZUsmKolziB1qdGpqhYTnL8JeVRKCQxTlZCGlaoZQqafyHuLULw5CnnnqKP/tn/yw//uM//h/9/1/7a3+NX/qlX+KXf/mX2dvb46/8lb/C5z73OW7duoVlLQc8/sSf+BOcn5/zm7/5m+R5zp/5M3+Gn/qpn+If/aN/9F29lsXEQ7Sa6K6LRLK7uU3DcJB6RpHmuK6LtxgTzQsMTcexTTY3G9x6ex8hbDSlRBMaWV6gVAJTM/AWEbZrs7d3HU3TeOaZZ5lOp7zzzm0W8zmLxRTHMWi0TI6PH7K7e5nZ/JysiGg0+rRbfZqtVYRmQKWh6i5JnFNJhUqWCEVQiuUhYS7LZZe2olDJJXQlTSMsq0G71WU6CWjUuwjDp9FqkIQJbt3EX6SUcjmWnUQJQqhEoXxPOLxEkdnCIE4CqqpCF22yPMCyJX6k07CbTOcZ3jRjenpMyzRJkgLynEoIOv069+8eEp376IYJcYhqufSbLTJvhlEWxJWk7hoYpiBKCnTFIAli0lKiypxFnDF5+y5N08QyTdIkJJMVmpIRptFSuFwVvP7OLSggiXM0XSGOUzRZYgiNVF9yObKipEpzskmEoRtUVUytUWd7r8/F6YI8h8UifI8nmCF0qJQKoS6ZHZQVZVmh6Rq2ZTKbemi6QNcVyqpEaCpKJlBKnZ21FoPRGFUVf7jl7y984Qu/R93y76+qqvibf/Nv8pf/8l/mR37kRwD4B//gH7C6usq/+Bf/gi9+8Yvcvn2bL33pS7z88st8+MMfBuBv/+2/zQ/+4A/yN/7G32BjY+N9vxbbaaFoOoVUyAuNRbCg1GLGwRzHraEbJppRw7JiLFMlzWLe/FZKsDApipTN9Q2GwxGWZaAIiJKcZtPBtCySbIIoc+7vPySOM2oNlSiCSlZoqkIcDgkWE776tZD9k/s0Gw6GUaModZ7/yOd54vGPUcoCx6mhGy5pGi9RykqFoilIQDdMVCFQVRXb1cnShGbDIgrmZN05a2t71BownnjIrEDVBFm+FAacns6QcslbcGsWum7iez66rlKUkjCIqQodfUWjkEPMWkmZS7qdDuPRmAcP53SbDdRyWXRRhIGpm0ilwp+FFEHOyTThkac/zJ13XsHzU1SRkicpopQkUYw0NAq5vJLPFz5RllMJ8IsS17GW/XxFwU67TckI2zHJ0xylVMjSfAlwSXKqpX0U0JBljkCgKwrhe4exKgqqoVAUKnm2bIHSjITeik53VWfhJeiaRhxmVKWCUi0ncoWyHCXRhEpZ5ghVIKsCTVPQtGV3vCoUdFUjrQoWvodj6GjvddZryn+hCdn9/X0Gg8HvMfI1m02ef/55XnzxRb74xS/y4osv0mq1vp1EAJ/5zGcQQvDSSy/xYz/2Y//R834nY59j6dTqDrIU9Ps2ihaTBjFpVqBrCZv9Pm/fexehW2i2S5FIsjin4TikSUHDtCk6PXKZkuYZmlZiGCaaJph7E7IkQTcgz5ZMiHrDIc9KFl5KGGYYuk6c3SHNlgUBVYTEqeQbL/0qp6f3mPkBebyE72dpugwQU0Poy7ORbqtBd7VBVVREiYdpNAiC+D223QUX04zRaIYqlv7TMFyyINqtOjJXSZIUwzDx5zm+51MVFZppIISCWulUJcwnAZqjEYUZVV7xYHJInOQ4lk0QZ1RlhWXAxWBGr+tSVdBp1NFqNnpVcX58wLMf/yyKMLj1ztcxhUue5dTShLwCKRTCKCEuJaZtUikKiAopwKprKAjOZxdLu2Ih0U2Niow4lhSFxDSXKhxVKEt0WrFEh8UomJa5TLZYUkkFVVFJ4wxVKIRKxr1bI1RdUJQV8mRCzXWX81OKiiwkpQKqFCCWZ4b1ukWWZVRVQSkrLMvAMu2lJ8pcJtYkmCGl8h4O+v1v7b7re6Tfb/07695/aCj/9418g8HgPY39/29pmkan0/mO1r5f/MVfpNlsfvtje3sbgPk84uj4lMCPCYKEyWTGLIhQ3Qo0jfv7+3hevhx2y1J6VhdVWUrHVleaXN3bpdvp8eSNJ6nyCk1R0ITOVm+LKxu71Ot1pFyaAIUAhE6t1sSx2zhuA7dp02jWcGwbQ3Up0opgnjCdjhhNbpHnQ9JsgmEs/0hlJXFqNt2VLrWaQ7fnAiV5leG4FkJRUBFY1pKe4y3mqBpEIQhhoigqWVoxGMyoENiOS61eI88rsqSkKJambk3TKYuCLC3I4gq1VKnXXGq1BrbtoOsmRVktD6GFzWQao0mBruhEYYpqapgmIEoWWcitd++gmTqKqDBc+z3NqEqcVVAJojilyEtUTaBpAtcxcWoamq5h2gpCB7dhoWmgCg3HtcnykpXVJrtXumiqQnelju1qOI6BZqpIIUiSnCJfyqJN00ATy2oeQqChURQVeVqhqxrBrGA2Cijfw40tr9YKiqoscW1SEoYRUko63RUqKSjLirKQTGceaZ6jvffcilpRUZEX+fuO/Q9E1e47GfuKXKDpKvWGwun5BFkoxGGC7piEWYBmSNa3u5hGndCfo3cKWisWjXodx4yptVL0QU6zXvCDX3iWyWDKxmZvia1SVPobe2RZSSUlcy9gFiQE05DrN3dIpY8hBCgSZBelMinLgiKHVk0lSAPCdIGs4A7Lq2mz7vIjn3uerIx59fWHbK5tILQSIVSKImM+9RjlElM3ITfRdRMhSoRr4FgGjUad+dwnDGMURcNxLHRNYXtrlbCZITQNTdOI4hCqZYHEtHSKctnN4YceVVViaDorK122t5pEUcJs1uTs4TmaAq5rUSoVfpxRa9RpGCZxEfPWt75GHHpEElANpF7DMmGxmKNrBvW6gyKWlsQsWW5Dbdskz1TKPFtSYZEYqkaaFuztbeMFC2Qp6PablGVOrW5QFhVJpJMXkjIDqgrHcbBsiyDwUPQl6KYoc5RKoAoNWVRQCgpVYGgqllUt35QUQVFJhKYshxxziaoJLNNEVZY/K5I5pYRCVjiWTpLm5EW5LDjVXeD9GSn+QBPp31n3hsMh6+vr3/78cDjk6aef/vbXXFxc/J7vK4qC6XT6Ha1939HYp4AiXQ4fBIRxgVAqgqDELQSaqHCsGrbiYDoqsjSZRSmFVqE5kiStmMdzrJrAtBJWXZOr15o4usZZEOMVMaZlEOczqgpc0yGPStYvd8jTGZVWIBFEQcJaW8Oxly5TL/I5mQaMR3NUvUKmgqqoEEJgGnAweIhhK9x4tM/uagsvNlgEAXla0Gv1iOcFjbbBE4/vglw2eUopybIMx2ny6CPPcv/BKbPZGUE4pe4ux98f7o/Y2Nxia7XBeDomyTIaDRtNU5kuFmhCZ7+IqNXaqIqGZWvMZlO8eUB/fZPDB6cUBeR5SZGk6EpFrhTEcUm33cWbz4liiVUz6PcbjMYLXKdOKUvytOIjH75BVZWEkY/vRzQbDbIiI8tyhoMMVIN2u05/tbks7qg6x8cmipKBXDbgSlkSJhFFIciz5bav4RpURUWcJdRq9pLipGvITKXVcRBCo8hAVhle6OE4NpGSkCYBaAqmUFGEhmGaWLZBnmYIUbG1tYpUKoSmEEUJZ6dD/DAGKhSho+omQv0vBNHf29tjbW2N3/7t3/524niex0svvcSf//N/HoCPfexjzOdzXn31VZ599lkA/s2/+TdIKXn++ee/q593eW+TetPm3t1j0BViP6HRcEGWFGVKmsLoouBqa49FHHLziSuEaczcn7HWu4RS2ayu5Ch5xHyecrgoMKyEXHikFYhQI8lUyqJAyULqepsVa3kA+ta92zhdiWHW2D9b0OtU1OtN1npPU7Mle2sxmiEYDsYcvfsykZZjagZ5oRP6PqYhEaXBzevP8K9+9SUsU8fUNaqqYjqbMzwN6a3U+dBTW8R5iWtatGpt2s4GH3tmi+OjI37l178EqxW26fC/+2/+JB99/gUcx8TzphwevMu9g2+R5xmKKpFlyVNP7JFEJXGSoio6nc02naevLOUBVocsXHB2eEDdWG6zXvjECwwnCWtbm+ztbvHOt16j3oDrqw5hUeAVFvnFgMSfUa8riFqXXrtGkJa8cu8BdbfJI49/hPF4wle++iK+nzM6X9Bbd7m0+zibnZjT04cMJxeUeUqcpxSFJE0LyrKi3qyTZTltt8liMoZSR9UVVrotVtp9LKuk3baACls3efGlB/TX1vEWIfeiA9I0RdNU6vUazUYNPwhp9ZpoogSZcO3GGrYDqqJyvtnk8GjCxmYb3VBRVY1KVtx9Z/99xeJ3nUhBEHD//v1vP97f3+f111+n0+mws7PDX/yLf5Ff+IVf4Nq1a98uf29sbPCjP/qjADzyyCN8/vOf58/9uT/H3/27f5c8z/npn/5pvvjFL35XFTuATsvi3v4Z4+mCdrvNPPNQxRKKUhaCS9vXGY0GzEaS3e0neeuN22zv9biyucczV57CMTVOzm4TeZDMwXVcVMtApnVkKrCcOj/8uc8gLIsvf+U3ePetu0jhcvLgLralM5fQ7W2w3uqw0mxy/fplnnjqI9Qtk8OjY15+9TV++803kWjouoZEpeU22LqypPW07Dq33nmbzfUeV248gu8HxGHE3JtTVRJFFexudrF1lQqBF5S88/rX8aMcWUha9Q7bfYfLO1vs7O6STUfoRY3N/hobm5e5+fgLTGcDAv+YwF8gZYZluRRZgqlraGqLK9uP0O71cNo94iTll/5fv8RkeMjh229z74132b58DUvo3Hv9TV79+sugVKz+8PfwvR99DmPjCRZhgipTXv2Nf0bse6xfWkdr9BDGClmx4PTwENNY5/LOE2iayuB4n6+99DJ3b8157tkPcfP601hHD4njmOFwgEFEoS0hlsEsYHWlzSyYYRoG25u71Gp1mnWLdtPGsmF8MaRIAUtFpoJea5PnnrnEk0/M+Kf/n/9lCYTJExq9LpubLTrNJt/42huolGhlSr3dpJSC649u8aFn9ijKksOzE0xDY63b45++z1j8rhPplVde4VOf+tS3H/+7e5c/9af+FH//7/99fvZnf5YwDPmpn/op5vM5L7zwAl/60pe+fYYE8A//4T/kp3/6p/n0pz/9bXvfL/3SL323L4W37+6jCBXHdUiSZGljQKBrGqa+HCv+nu/5GK+/8SrDt06ppKTrdzA2mwjFwG3t8IknX+C3vvQrbO40mF+c8MTH/hhenLC6tkkaLthe66ApOuoLn+XXfu1rRAWcDRfUHZcrV/coU4OvffNFPv69z0F+idOHD1hpN0kDn4P9Q2aT2bLjoFJw6w2SIKNlt2m5HUyjj/mhJ/gL/8OnWV/rkyUZcZqT5zm6oZPnCTIZE88eMB4e4ocBtlWxvd7g4GxMcpLw1ts+b92asr42oFNv8IUf/AzFcEq9nrCzts6l3W3K8mkS3+P04JDexhZmrUGZx0TTCUqWUqYpZbGc3/n+z36eX/0X/yuKZvLxH/zj7KyvcvhwH73ZpN9fZe7N8KgTmBuEgznb2xvoouSpj3+Bi/GU3s42Z2dDrj22izc9pb2Sc+fwjIvZPucnD1G1Gt3+OppmMZ5FnI/mfPXrL7LS7pJEPuNZTK1lYqgKZZbjeSFW3eGZpz/GX/jv/3tct74UGKgaNdfg4f27HJ8cMhldcDlz+Yk/9oMUZY5pO+RxwK//1m9RVQWmpvD93/soSVRSphLX1Xn91VtkmYdqGNy7NWDjhSfotxRUWVJ3azSc33+Y799f33UiffKTn+T3G6pVFIWf//mf5+d//ue/49d0Op3v+vD1/99qtDtkcURVGARByEq7TSkL1Ao21y5RqSqBP0fXwRYqnp8xnwaYapfv+8IXadRd3nj9VfxojuMAYkZWSU4P32Z37zJrq3sU2Zw8T7l6eYef+7/9X/nH/+B/5id/+s/y8e//NF976TX+p//p7zK+GHF+OmC/u8+td+9hWzoXozn3Dw7xPQ+hCrKyZDFbULu2icgsTj2detvhR/74D9Hf2iEanNB2bWqmhqLY2O0eQlWBAvInKXOfPMlIxhdM/YBx/BvcvN7n9q1T4ijm9jt30HWdzbUu6/0uzUaNaDbGtB3GM4/xaMzJ3XdZXd+g3euh6jpPPf4osqoxGU+WnRtCo99yGTy8T7vTYb3b5vLGKlv9LmcnR3TbDd6884DAz5j4CVVVkcYBMQqd3gZ+VDL0MmJhcunKY/R2r/Kvf+Wf8eprX+Xi4pydtR1+/Ae/F0ftcOfBGYN5wMKboT7/HG++e5dOu41pmIz8MXme4+o6q71VfuJ/87/nv/2xH+bo8CFnF2d0e6t4ixmb6zf47Gc/ueybKyWJFzAZDnnr1jsoZcJzTz9B4PmMxgP6vSZVoTKZSFy3Rr0V4zRqRFFMq+6yWHh8/aVvceNKi1bNIfNnHP4H9/K/3/pAVO2+05JVzHzmgVRxajrttkuaZIiiIowCUCrKdEHdqpiHFZqqgSzZXt/GUOFLv/ZPOTi4zeD0NR7cCTBMwev3/u9s9Vb4V//sIaqu8onv+2G2dx9hOJwSBhP+5E/+BJ4/YRHG1Gp1ttY3mI0nvH3rHt1uiyQNMYVCmEoG58Pl0Flesbu9wWwy5fTkgqvbTeb+gjQsGBwdYOmCcDxA6Js017Yp05A8XaDpOkLVUHQXURVYVU4QJkz3D9jpb6NUx/jrTfJEMg8Sti9d4dXX3+bpm1ucIak3O6RpwfD0nPnFGbpQmF+cExeSztoGNbfOletXMQwDPwzo7+yiCHDrNbzJjLiUGI5LNh5z/+Ex54NzVMALI1795ksMzwdsX77M8889R313kyuP3sCoNXn15dcosoQ48jEtg8cee4Yr13ZY77bIQovD0SmPPPE0vYsheTDhI49d4xMffYKXX32Ht9+9S5cWKJIwDrly7RHOT45447VXmE2nSAGNeo2bl7cp0whvVuFYFqVYtvrIqiJLE2zHYDye0mg0+dj3fgxDXdrehTbirXdv88Y7x7RWVghOTjkbj1EMIJSMXp+jaip5klGUf0TGKMgsbKtCFRLDUumtdDg5OEPmGdeuX8JRckwrp929zMU842LmE85CTg9uc/vtNRRFkGYpWQnDUU4czblyqeTevQu2d7dZWX+M9sou46lPhuRw+A4Nu0ZZSn7lX/8z/puf+En+xi/9daaDU+48OOTg4SGttsu1y9dotRqESck//of/Mw9uvc3Cm5JEEefnYybDNaRmsLK+ytz3yRYLhoPhkgqERKeiKEvyqkJhWZrN4xjLNEA16axvkk6P8eM5iihRRMSTj3VpdDq88a3X2GxWmIaCNzunKHVUYdDrdxmenbN/cExaVtTPzzEsk9H4gkcfeYTZcEDiB2A6yLLEC3zytCCXgjfvPeCdO3fZuXSZOC+ZjYeMTk8wdA2Zpnzrpa+jxI+ysbVGHM5xbZU3Xv0K3nzBvdtv4Lg2P/Sx74VKUN96hI83XTJvwUMKXrx/h267TafWwECSpylFknLz+i62obParXH9ygatpo1S1bl77z6qAv50TF4WGKaNbZlomkqW59imhe045GnOIzeu8L0f/TCOZXJ6doSs4MZHn+GHfuCTnA9O+a3f/m1cB7wkICtzVE0gywqBgl5vYdpNXv7GH1Kx4b+mlSQLVE2lzAuanaV8ud61aDdXKKuUeRyx02hS1zX0FYuz8YhSzzk4eYvJr0x4d/9d+msKabJ0DYlKIyPFTxUqYfHGG2+Sy/83mt1kvjjBsRyKOKCoYrJC4tgGrbpBx9rkyvYq+Seeo0hLlLLCCz3eef1Vnnz0Jt966SX8ubdsvqxK3j044+rlDbbW2tii5ODoAedHR0zHF6xOpvT6K5RlReD7JEkEUrLWWyXwPCpZMBgOKYXAVFUcR0F1HDbWu7z4ymtcv7TKOAhZXTdouDZxXBJHPkYlmHgLxguPJCuXNNTjfWSREPge9ZqD3RY88cgzbO5dpcgLuuubmCsbnM2X9yQoAn82QtV0nnj6WW48/hjdlT6ji+HyqqAZhElGkpSMxz73799BaCWWbXA0OCP2AnZTjdrlS5we7uPWW1itFV5743XiyOP8bMRmf5VFEuLYGrar4s3H1N3HCP0FhwcPoEyIvAk6JX7okSYFsgKJRNMN1nr9pdldlnjDCzSlZJzlDM5PqddrlFmOZY8pioQnb1yl0ytQrBxZlVSVoNVoI6XGfOrRaF7mn/zj33xfsfiBTiRhKdTrNvW6g6pDmeVkQcRoGrHe34KoxJsHSFTiykazLEylZJZH9OsKn/zEx/i3L/4azdoaWZmDonB4GBBHknsnb2A7Jpn5DSyrQeiHaMJifb2NbVl89KOfJU4iiiKl26ijmRZqWREGc8o4Jk9S2s02aTyku7ZGnoTkakkuK7yk5O7xhJtPRDzySJeXv/5Vmu0G48EJ3nTM0UENXTfIkpSyzNBUqLvOsgFVLdGkh4LOjUdewG5u4s3n1IyS1eOKndUN3rz7Lt1+jSoLaZsuaXpO4Bdcf/ojFPotLMMg8mZMRme4js5pGhKnBc987JNkk3O+76PP8rde+jppHEJVcuXaTR7evkWSZnzmj/8Y128+guM4y2ZPodLu9anKnDLLaGg6vY0tHnvyabIiI/SnzKZT/NmI24s3OD0/pd5wsR0LUcbsrHZ4YDsc3H4bqiWju9dusrfboebo5LJifDFgcJIyOj/6dn+cadsgFMq8QgiNrMhY39wmjnzu3X9AlJZ0e+vs6RbHB/ucn50hFA2nVufiYsy1q3vomqBm9shKn6xMcZ0aRQR5VmDrFvt3H7zvWPxAJ5JRz0AvSGROtYA0SkEF3XDx/JSuLchVhYOLEYreoJQlFSpZXjJN5xi5RRhV7B+8i1kZNGsODddFGCVVPmN90yVIx8S5j21LZGaSZXUcy2J4NmI2GtDvdPnw409gajqDwZDxeEyjXkNXVXqdJivdDi+/fYe7d++SZksfUZQlKIXACwLu3rnNbHTG2b03CYqMtd4qmm4jVIFQBAqCnRuPMPc85hdnrK81UaqMS499lNW9awijDgjKUuHp7/khqlLyeZlT5jmT0SlR4NE5PiRLS3Z2dzFqLaos5tVXXkboJkHgY+gqs+mY2WiAKjP6nRZREHBxuM9srUc4HyFlwc3HH6Xf6+G4LqqmL0m3SNJgQZHFLKkLFUoFwjCxdRWrabHSWEdc3+WZ579niSfOfSrfJ/QW5EnEs49dY3j0kLffvYcXZawVGVevd9EdjcKPGJwdoWoKR/sH5HnMpb0tomC0HI9BxdQd3HqL9fV1ZKXx3Pd9huuPPYNt2wihsbZzhShYIHTjPQFzRd02OT0doOmCk/MTqiokCidMx0PCOMIxHdbWeu87Fj/QiRTNCiJFxbZSmm4L3VBQdYXEj2itNZinOXapkBcW5xcXrK+1KfI5ilIRRXW+cvslskRFwSYrSwqWN9JBViIVDS+YYdoKitJE5jXadZ00m7EIIn71S6/zY5//EfbW1jg9PGI6nxOEEZZuYJkmaMtuhtPzc37oc5/m4f5dNEMhjmJUVaBZGlESk2Upx8f7CKVgpqowH9NzlwFQFgWyUlhM+9TcOmfnZyAyDN1i/cpNEAbJ9AKlqijKijSJ0A2DWruL1urT7a1SyZLHnvowVDEyDtjcWqOq4BOf/iSK5vLi7/4u3vABhlOjrCRJkvDuu7doNev8zr/5beajU0aTGeu9DuOTA5554hGQy47tIo3IwoDEm6PrBuZaH6EKQFnimqM5oshQhKBUBJrjoqlQlgqKqmGaNrpm0O12QDXeqwYreEHIg4MBzY1N7HqdPMvQ62A2HLZWr3H5scdIgpyaW1GkIcEsIJMG3a0bPPHMk5imjWbUkFIihEHdUiAPEbqOlFDJkqos2drdoExTHr26tdRcCAXUiqxQKJOY2PP4i/+X/+f7isUPdCJ5kwrHFYw9D2Otwe7mDWbjAVkUoqQqRa5zsZig6RqWITgbDEmDCLdmE4bn5DKj068TxSFpCkmWs7G+TjGNWd1YIy883KbKSnOH0cUFVZYjUAnTAEVfEHoz7t99wPnFgPl8gSYEn/rEJzB0k/l8TpYXvPP2ba5cvcwP/fAP8ODBayiawmI2Z6Xd5yNPPcWdd25hOQ6maeCYOt1mDcvUsDULTVMJg4jJxRkyL9CsGqvbj3Dl5g3yNCOYjdCKDLe3iqWr1GlQKhqKKiiLCKEaoFTohkmRROj1Jv0KyDPmacT8YsKnP/EJvv71kslsQqPb4bVvvcK7d75Fq+VwdvKAtWZORo3nP/59fPV3v8azF0OqSkMokjxJlu1buk4UR0SHx7TXeuhOjarKoMypyqWVD1WhSEOKIIQiR8lL/CAiLSQVgk988vs4PD1nEQ+wbAdd2JSRxs7OZWpmzs2nn+AjzxnsXXuC3b3L74nScmbjC2bTCapSsbndQzMMFNUGKoSqU6YxRRwhRLVkZwiBLJaU3VLmqEqBpUgKWWFYDmqtSVmW5IsZSvH+Y/EDnUihn+NYLTpuh5/5Uz/N5d3LhHnCP/lf/xd6/XXuPbzLge8RRMvhL1XT0XSXWrPGyfCU/lqDcDGn0VSRtsnHPvoDfP2rv83lq5c4OpjhhQG6kxOvVViWimG7zOchmqbg6H3m3oL5/C3KfMn43rt8mSBMuH3nVaI4JopSVjodjo+WASalhn8xoN1ss9tfJc8FO2ttHtwpWN9cx7I0Jt6MeRRjGAqOU0eWUMQGuumzvXeJ7d0dNFlRzOcUfkApwAUwXapq6dGVRYRCRZkmaKZNhY6q6xRhgC4hz3M0Vefd13+XMot5/vnn+PUv/1vqtSZfeelraObSil5v2sRaxcXwnC9/+beIg5z9e/e4OB+wsrJCu9vBNHQWsymLxWK5bRMSux6hVCWaKiiyjLJSyMIYTY+IPQ9FKFi2xXi2IC+hu7bGG7du8ejVTW5c2uDe6QVnwzGbF22MK11+6L/9QWzbotFaQahL721ZROTeCC3xqJKAen8FRTUpKxO1UgGFMo3IgjnIkjQv0B2oqhzVtEBRUN7TgArHwRAgdIMKidA19E4PQ33/prEPdCL9+Bc+z972Jb7/U99Lt9UhTVI6zRX+5P/2J/mF//H/wcXkHM2WmIaOCARrG33CMGQ8mbO71SdlRi5iKG2efOppHt67g222eOfWEWmSs7W5zTycUBUmipLjTVPMhsnJ6QF1t8Vrb32VnY01Nmo9qFT63VVuPXhIkktG4xF5VpAlKUVZoNsWqyvrhOEMLw55sH9MXujcfvAOkoq7o1NMo6QSUBQRGuDKHKOso5YatVYNoauMJ1O6ne6SpJOnVLIgD+YIa+lklQoITQeZowgFWWZLOXKZIaOIQlHIi4pGs0OO4Pj4hGajgaFpHJwd4MkQIwe1qVKraqAZGK7D6eiMFafF6OKcxeyCskiJowDbcZFFQRhHaAqc7IdsbC5ps2GUUnMt4jhiNJ7juBbhYk6v1yNNUuqNBrPZnIvzM4I4I00Lnn3mUV6/+5BmrUYpdYbjiDKLOR0cYl+rELqDolQEkwHZYkqUJfzGb3yFxx5/bEkrKitW1jYxNRXH0LEtEz+ICYKAsshxmrUlS10AxbJSJ9wmsoiQkqU5XtVQNRth/BE5R/o//bk/SbPdAaNOEMS4jsZ8NqPtOHz8Y8/zO9/4TdIsIMslqxubrK1vsP9wn2YrIs19olggVJdWo8tiGhFGI+qtHoPpBZatY1kGe+09snzAm68MlroYPaNWV1lp7/L048+w2llhfn7O6ckDVgcDrt94jG+9+SZFJUiKAm82o+E2uP9wn8t7W6ysrpDLjG69h920yUWBbZsEaUJRFSRZgVBzbMNArwpsXSXOA84uhrRXN+h2VxBAmZd4iwWGJkg8H1XVKIsczTSQ771roy4JPEpe4k/G6EIgVA1NVVGo+PinP8vg/JwMGE1GjL0TknhOplUYhkq922I4mdLf3OLegwdUrstsdkFvZZUkDhhPLlAUFcepkWUpnWaTNC+olArTMMiLksV8OcJwdn5KWeTUbId+v0eaZlimyWQ6YT6b8dEPfwiReRycDmm36iymHkGUUJQ5w9GM/bffYK3dwrQs8jwliQIMVWX/4SHffPFFBDnG0x9iNJpw7913uXHzJteuXiFLI8IwQKkk3mKBIhREBYqmQrGk4eZxjKiW8BmhqCArijKiyKL3HYsf6ETSrDoSE3+2IIwS0jQmDkOMOOajzz7Pb/zOv8bQG2RZiSgl0/EMiUa/fwkJDIYDdrY2GZ6NydHotLfprHSZz3y8xZTemsFgcEqZFHQ6KyRpwtbOKp/42Kf5whd+nE6rhZQKcRQQzsagVNimyer65tLNZGjESczFeE7ge+hKydXyEQ6OD2k0XRZzH11roisqK1aDyWKCY3Sod21aDQe70kgSgaJ4NBoNDNVAARaLBZPplPHFBZauoipQVSVVxXuVKZU8y8nyjDQOkHkJvAedNx3q9TrFewD7Rx+9yeHRMevrW9y69xJpGeHoLkalLw3jccarr7xCGKesWA1Go3NUXWORzchKiSVN8mZOzXUpihw/8PGDBbq2LB5kRYm38PD9BZqAZ5//HvKiIE1SsjRlPJkwHI1pt7tUmNx45CrSyDk+ntFb67K+tcnJwzuYho6uqegqCCkwajWKPCOIIgxDZzGfEoUhNddCEkFVMB6eYxoGfhC8l9gFehwvR9VVnTRNKUuJpqlo+vI8UtEEhp2RJjFp8UeEaydVfcmH1gymk3OGpwcYhk6j2cZutdhcu8RoPKTfWyOOAxRVY32ly5Wre9y+dQdNWkyHEePhhBvXNvC9hHfeeIO4SMllydnxjCyHs2Ofy3s3+TM/+UNcv3yZx5/+MJrQiOOYJPJR0hBTVMzDiLrrYpkmuqpgGgaVlLRcm5VmHUVAkiTcfnCGlRo89+zH2d68wsH+IWurK2i6SrPZoN3uIouKSiYUlYplaDx4+AAvKciKgulswdnpGfPJBa2axbkuKCsAQfneO2sSJyzmM/IspMqh01m+m5dVgKYvsWBCgYW3IChT+mstbu+bEAtm04iVmobiGghLYe/qLofH58R5gJ1ILs7P2H30OovFlF6zweTilLkwUFWFMIkBsbQKopCXJfI9OpBiWKyv9hkNBgwvhsRJwvrGBkUpmczmPP74YziNOjP/mFrTYGf7Co5rs//2q2xtblGW+dIHWyR4nk8SRzRcm0vbG+RxyPhiQG91DUNT8GdjovmMWrNJVZUURbl0W5U5ed7ENt/z+eY5ihCISiKolkck1ZJ5V++svO9Y/EAnkhcmHB2fsBiNKJIYR63odVuYjoNhGfyf/w8/Q6koHByfcTI65uDkjMVszMVwTLfX42R4yngeEGcpURTjeSEXwxG5Ium0ezx4cMj3PP8CP/s//Ek+8tQzyCxBolJmKYqhYBqCLCiIoiVKrOG4xIv5ki+hCBShABX9lRUqzWDhL9ANk2arjVpJVEo2+is888gN0qKgrEC3bRq2RRYnaKpKGEXkacJGb5WRFxJGMUfHR4yH5zTaLbxwgX9wTBwXNFpNJtMp3mJBWSxNd958jKVrzKYNnnj6Q6RRjO8HKAokacJ8vuDGtRucDPYRuonqSsJoQhVBbiooNZNZ6lMaMIxn2A2HIpqwmC9otlYI84i7h2+T+zGuaVNrNDEMG0WIpT1QUZa/C8Plmec+xvnZCW+88Sbz+YQwDNi5dI0wDFB1g9Vumzff3OfRq9t4WU6jt8Hs7G1k4iFEReB7IF3SJOLw8JDJaEhrZY1uq8V0NiSOPaTsYpkWYeATRyGj6QhFKNiWgypUovOElV4P27QwTIMozfCDaJnolSRNQoo0pb+xTqPded+x+IFOpDdeeolu04Y8oe44qIpGlhW4NUGZ5zTe4xO0r1/jqRvXKBWVycWAo8OHjGYTbu5c4qW33uT+w7sMLo6IgwRV19ENg6oq+cz3fz//x//uZzANjbtvfwuZBAjTwm2tYdUb5ElIGoYkoc/a6gqW7aLgkhU5KgLTcTgdDECpMESJISoUofL49WvkWUKr1SCJC8I0pem6oNtIIZazSJXCbLZgOJ5Qd208z4c04ejwGG8+J05CBu+eUEQprU6bMAxxanWkrEjTlCJPkWVBkUbMwxLbthlfXDCdTnn97dfJpeDK5Su0Gw2OHuwTk/HEox/jW7dCsmKOoSs8PDjk8rVLjKYLbly6TOzHrG+0GB6doVagZglhnqPXBWUllt3pcUBRLEfrpZRUsgRUzFqbMouxm20syyaNA/Ik4Ojhu1TCYOfSLu2mwWYIwXyMl1ckxSFKElEqBXEULlWkRYkXRLzz9ps0Ww3sNMGyNISiEAU+ZZ5j1R00Q2c6GZFOh5SVhmHZ1GpNprMJC8/DNA3qjRqaZhJFCWVVMRldEAce3XaLx554jNB/f2Pm8AFPpLpj4NgWizyhqCoyWRD5AfMwpre6im6aJGmKLPL3PLFzyiSh61jUtS55WbL30RfQPvF5BkHEb/7OV5l4U+ZhgG2avPDhFzBFxTuvfJM8mON5U87PL9ja3GL70Sdpd/ok0dLNo2k6lb6k1DTaHUReoBgaV/a2mc89ijglKxUMXaFhq9iNFmWaomsah+cj2jdaS00NKnGwvGKUZYZtaCRRhFDg9t19nn7qURbenIdvv4GocoSloYqEsggIohmaaiAUgayWBnRVqNjNJpZpc+fOLbI8Z+7PEJbLeGQjqDCsOjf2rtK0J7z1kkndWmNwfoFtGtx9ePIeNlhlo73J7W+8jNNoIIAoiAiSELfWoJIGWq1ClzmyLBG6QC2VJRylKKlkuBSAWTrjixNCb7w8NkhSrj3yCKsth+lwwLUbT1HKlOk7byNLged7jCc+Qp0QBD5JEvDyy68sATMXF5jH54TBAooIVVQUZU4pl94sIQRRGC3jIMqZz6dUVcV8NoUKNENDE4K8rECopHmKo+tcf+QRhKpzcnDwvmPxA51IRZnjz+fkec50PEPVdEqpYa/WmE2mDM7P0HSDNIxwXRukxLZMBEv8k6LotJotZFnSqrs89We+yCSIOT09RioKmw2dxdkDeg2b0hL0+m1azTZnJ4d863d/ixc++6MUWUqRJgRBiBKlrK2voRs2aRliCIGuQKfZIE8zDHtpGBdCUBQSt95AqAq76hZxkqKI5VCioWsUxRI7VXMtFl6GolR89CMfQpYlslKIk4gq8XFFF71l4vtz9ERDV63lfVJVIhQVVRG0V1dprq7jNOoMz0+ZJyNm2T7lUUAYe/T7l5h7bRyz4uYTz3L+4m8gdEElFPxRgNuymXsh/dUWhqIReRHj6QI/nrMIpghNQdcEuiFQhcV6r8vGSg9DNZEV6LYgoWI2n3Ln3XeZzEbkskIoGr4fMBpcYNkG33r9NvbKJXYv71CrXxBmMWmi0m6vsrG1S6VUTKYzBoNDvGDCfLzg6Q+/QBrMKWSF782JAh8qZVkNnA7wZyO8+QjNsKnVm1i2C3LZfZGEEilLhKpRyoqqlDQ21xleXHB4csbZ+fn7jsUPdCIJRaGQkvPTAUmeowiNzkoPwzAxdI2qSFGVCkyDSgHXtlEUCRVkRYWqKCRxiqqp2I5NVRbYQvLI3i5urYGq6mR5SqZlzOYpSRigKiWLxXLLtXPwgFq9RpZEaGONdqPFbDymuyKxbJsqL5eMbwnThUer7iJ1lSAoaDcb3LrzgPVem+7KCigKs7mHRkXNtYiilArI8pyiKIjjGBSBVARXr9/g3bdeQVUVnvvE86Slx1vekF6rh66UXOyfoZoqKipFLpGmZL7wadRszs6OsW2bQrp4eYDpz5bYXxX2rlzlqZuP87svfoPIO4WegqonTMcJL3z0U5zcv8/xdMGjTzzDjSee4eT0gNO3xsSLEENfgi5X23VOzwIs0WBtxaVTszFsi8HcxytTRospu9f2yNOQNIipe5Iki9FUiz/+o3+M8/0HvHJyj9/68ks894lPsXfjaQ4e3sOt1xmPx4wvhqgqbO2uo+kmpqlg2w5+keIHEUm8NI0Egc/pw4cMz4+ohKTT7lKVOWkcoGnWEkQnVIoCiiwhyxOyNCeOfS5dfZTuaou8eP+tDR/oRBoOR/ieh7fwEbpOs9lAMzSCyKfdbNFqthBCxXQMkBVR4BHHEVWlgtDRdA1NFViODUAhC9xaDfXf3acIhbKEMIqoqgrf81gsFpwMJwyGF9y9c4eNrW1MQ6WWJMzLKeOZh2PpmLKCSiErc+IkwTEMZFkgi5JGzaUsSzbXe6hI8ixFESo1S+fiYkQlc0BFKMpSSFZK0mzZs+a6LmtraziNFSwr52j4gKblsre6DYqCbkpWb2wwL33SWYlZWVgOhPMz/IlCFEYoSCzDYCYXHI7PuNTosP/wXUp03rz9Dm69zvPPfZL7h3fw8hPSMCALI9IyY5plHJyd8bnuGoOTfZKkZHV7eRhuCMHuaoPJdM63bt2l0XBo2hpuo01eqnTW1hkGI+zYwfPPuNbf4fJWi9FwztlwyGp/lZdfe4t7B6f01tdp1SAOPD701FM0G3VkFnN0dEBWxazYPXaf3uHsYobQtSUkUkqi0MetNcjikMnglCwriLOUIDqn02xg2SaWZS3VM4VEaCZVmYMsUTSdzZ3LCEXl4MF93n7nzfcdix/oRDo6OSWNUlb6K2iaRrNRJ41ibF0nTxMa3e4SUytz0jgkCiOCIEZoGrZTA1SyLKciwdCXIMgiL1BMgzzL8MIIz1tQpClCXYLcdSFouDYnRfleta5kOllQlTmq0Ll85Sp+GOFHGZZtURU5Wb48ZwmCeDkGoAnevbfPxvoq5+MxOxsCVdWIs4SyLMjznCwLSd/zFOVFyXgyo+bYSx6FafP8Jz5JNDtDyjkno1O2+mucTQbk8xDV0gkWMW13nbWWs9zuqAJNEWRlgZqkGKrLxtZVTu8+4PTolMduuNy9e5f5bMH29jbPPnqV8fiMqa5QrztoRIxmQzRbJ85Dvvnil7Esje5qjURGVBpUAs6nx5RxiTTfu4pSx89Kdi89wmg+xGk1yZSIaXTG7aMM26jRd3okYcj9h/tEZYVZb3AxmXH3wS2U0iSKQn7gs5/l7PAex6cHNPo6E09Z4rMqhxKVSmg02yuomkZZlZgqqI6zNE3EKbqisPBjFl6MqqmM5z6apmO5DZ5++jGatRq6ZrC1ucXZxTm3336bu+/eet+x+IFOpEarhdXT0XUDWeREUbRkNqsatVqTOM1AEcTBgjjwSNLlOUSVRpRlhaqAruvkZUWaF+RJhKbrKGLJps7zkij0UBQF27aopCROEna3NrBqTUoki8WC2WxOnsas9HskScRsYaDpBkWRo6oqlawIw3Dp41FV0ixjc22Fqipp1By8MEBUCgvfXzbYljp5Gr+HT1bRNUElS07PzkCpqIBmvcnZ4T0OT+9xNBzwylt36HRr1HWLqkxAFbTXmoShT5kL4kTSqNkI1+B86oOXsKEa+F6ATGGe6exduUyrXeP+yX2+9doJW902+4cmuzsNThcD6nUXQzWwLZ3R5Ihrl5+m1WhzPFzqO6WWcGm7x8H9OZ1uB5nn9NoNGv3LhHnGnQcPaPSbjEbnBKFNt1/HNExaK02SMOHkbB/MgtZqnX7NoNdp0VvZ4f69hyA0vvriK4RZjC0hrCJsu0U4LShLgSIEV67dRCgCL5hTajFxmVNWkEvB9Ws3qdkWD+4/QAqwa01mi5RCKTg4vqDTytjb3WY881gs5hwdHxOE4fuOxQ90InW7XaqypCoLZn5MmmW4jk2aZ5wOzknzjDLPyPOM0JsTJymykJiWiZzPEGLZ3kKloJkatrGEJsZJgqIst3W2Zbznf82I4ghZVZimwaPXepwMLzg+OSZKUtqtK4RRxNn5GTU/plZzkM0WQlOxDYO0kGiGjj/3sC2DJMsJAp88L5YEpLIkz1N2d3Yp84wkCpFxQr3eQFGW28vj0xOCKCSMEkaLCClNZmFBnCokaYmwcx6eTakyWFmv02iMSMICTdXIoph2dx2DmHA+JlyE9JQ2fpxy5co67RWHrY0+xwd3KJKYbz54l/X1XYoixMsqRqcBbddmZ8NBN01cq4NtWXTrq5xeDJBKhao5PDwO6bSaVAUEMiFx66y2Ohw+eIUr19f45qt3qLSIm5euEcuCTs3h4fCUjYbL0fkxUZXS39jDqaeoekWzZrO6usKdt77F5OKcZr2BrSuUQYrZMghkRpHFmJbO2sY6hmHz9u1XOBo+QNMMyjKlVnfJZMzKTo8gW+NiOMWQOiglcy9m8vZ9bNvlys3HCOKYosyQlUKz3X3fsfiBTiQpc0zDIvITdE3n/HyILCtkpWA7BmFoMJ/NUKoKz/cQqoqu6sRRgucHdFd6+EFAmqaYlk6oa3iLOVEUE4YRumGyt7ONadrsH+4jqHAdiyzL8Xyf1W6Lk+EIRamwHQvDsDk5G6KbHqv9DgfHx6ytrrHS7WCaNpPRiLKAMAzIi4IkDpnNPI5OzyjyhNVuk6tXr1BmGUIR2LUaabrUtlSA0HXG0xlpXnBwNuPTn/w48/AKhgFSplSqYL3TWmKTW21aGmQNjSCMqbU0VEPBO/WBnKtPbBOkAVKRpKnkdHqM92rBKJgRJTFCN9m/OMB2HcIwoLfaZ7XZosgW1FSVogj56stf5dlnP443C+h0u9x59zYNx8bXHB7bu0Td3eN7n/o+vvy1LzH3Z0jRY32tgaTFqmMT6wZmojBbnDPXElZWHCxdsLJecnY+I/Y9VL1OnCccnd6mZkNOyeXNa6zUGqhmnTw4YzI5w3ZMTk8G3HzkJpJlBRQElS6omSbzKORgckSix+iuxtwLCeKYIEzQNJVrNx9hc2uHs5MjBtNTDMukUfsj0tmQpgWyCMgKyWC0PMFWhLIM1HyZNEkSE4cxAHmcUmQ5WZqi6jrleERe5BRZhmFqqALiKCEMY4IwZGdzk7IseOXNd7i/f8hmv821vS0M02SxCKjXXAxN4Ptz9g/20XQbz1tgOy6z+ZRms0WYF5wNL+h2WmiaiueHwLKAMJst1SyKUqJUJasbG1iWSZhlVJpOnucIVSXLYooKHr15kzzPGYxmfPVr/5LJaMSHn32cp6/e5Gx2hiYMDKMAqTKex1xkOY26RSoWFJXBaHSKbQsausALfDa7PdxdE7emMUvO0KRNmIWESsnOpXXeufeQa1c28X2fhiOIkpQ0VhmPA87ODtm5tMc7d25jWjaChO997glEnnHn7pjTiwmPPLrH8YM3KEVInpYML0bEWcBKo83+2YB60yJBsLbVwCoNtCBHNSRBFJCVFfW6zd3Dd1jd3MYQKoXIcfQGBpBEHkZRES6mmJpCmYSMB0e8lUVUaYGpGDg1nRwos4Jrly+zCE4p85JKaKiahmWaS3yyIljfWGM6G3N0ep+ZdwGiTpmlv1/4/Z71XSfSV77yFf76X//rvPrqq5yfn/PP//k//zZFFeBP/+k/zS//8i//nu/53Oc+x5e+9KVvP55Op/zMz/wM//Jf/stvAyL/1t/6W9Rqte/qtcwXE6pComg6aZqhvbcF8rw5mioIvRBZLTt84ygmlxU110EKgaaqpHlO4PnMF4vlHIoCc89DlrDS7dBoNJaSK01dbh3znL1LW7Rch6Pjc6Ik5PLONuO5x4OH95eJpdtEkY+uG8wWU+qNBg23ThQuUFXBLIjIM0mSRKRJjKkLhFJSr9V47Pp18jRmMZ+xCCPiNCNJQ965fYfr167SajTxfY9LW5s8/uijaKrG1uYOhijYf+k1Wisua6srGKrKWltlHuZMJwkbGxsUeUav1SdOJF3VxbLrRNOE88U5TrODTpO8kqBoaKZOlKes9Fp48RRVVzg6ndBotbm0s0sYlXR3tpgML9CEx+5Wk0VwROCVOE6Dp5/Z496dEWG4YOqdUJk5lzZMZknFwXlOv9tnVJ4SF5I08TkcDWm121hljbfunvPEMzcQimAy99hc7+E4KrEfMZ6PaDc7vH28T7/l4lZjTNskmyYoVYkQCo5l0+9ewtVUtMLH809Y7bm0LZNoYrEYzZfsBtdCzEJMQ8d0XXZ3L/Hu7Xc4Ht7BdR0s06TM4/cdi3/gxj6Az3/+8/y9v/f3vv34PwTg/0EZ+6QEL/DIi4I8zVmEIYqmk6cpggpFSjRdJYpT4iCi3mwxHI1o1JtkeUmSxER+SJJneL5HkqRk2bJAsbu7jWXbLLwFSRCy1mniODpCASEEjWadt2/dprXSpSgqhuenRHWHWq2JphtIQ0fKgjyNiLwZuq6jCEhLmMx8DNMAWVK3VBRZ8ZFnP0yahEynC9669Q4zb0GcpIwnA/I8xTJ1Liybhe/RbbT5zMefw220SOOE333tTfT6GmejKVHso6mSJI5o1pZnL2lRwzUrnr3SI6wcbt0fUsMnGC9QNB0vKDEcE6UMaGgWelVbopsrlfkiJU5CDNNcdk+rJZZdMZoErK02SNIMf+ET5wpuXUcRBUVwxu61VWbhKYZVYTst0iJH00p6LUEcDDFdl9DzOT1fkBYlRW7QtAou720gS5X5JKPbtvCDkO3VR5l4R6iawdwLqOsGQlhkcYBmrBNkIVIpiKfHXLp6E8NS8bKQs+kYWUHDbTAbL8ilwnxR4NgSVdVQUNB1g63tbZ599hn+zstf4fx8yvqqgtaqyLM/RBnz72fs+3fLNM3vaJb4gzT2BVHAxXBA9l4RQdVNVFkRBh5KtVQrujWXOEjQTZMsTRAozOcLLsYTylxSFAUokjjJlnJeTUUTKv1eb6lHliWrnRqaKEnikDRNub9/SF5KFE3j5OiYDz11k8nsgDLLiYI5iq5SWhZmmVIpgumkwKnV8QN/Sd+pBF4wwdB1yliwtrrB8fExwWLC2fmQg9NTNE2SRCGlLNGEwunxfRACVTfxFgva7R55KZnMfd54801+6r/7U+iqwm/8zm8SxwFhlLDazqhMeHB6ipCConiZz//AF5hMS44e3kcIDbOhc3xxRm91lw1Lp9IV1NJgPAtY6Tboty0UmRLFAbEwOZuO8OcFCBVNbeKHKVM/wnVrnJ3NWF3v0Wv1CdI5jVYdP5wxOJvQrnfI8wwKhdPpjMhPmU4CCilw6i7juYfWajM8H6JrE0xTJzMN3FKwbrc4nL3LfDCjv75OOC/ZT85Zra3gNExyqXP34AzNmnH56ojHH32MO2enaG2NbqNGe7VGGUsGs5DV1R6VloMUtLot0izn09//Kao8Iw8T1FJlPg9x3ZIsL993LP6h3CN9+ctfpt/v0263+f7v/35+4Rd+gW53WQH5zzH2fad1ejogjwI0VUcYKo1mgwoFz/OIwpAsy/C8ENO0MCydIIqJwoyL6WJpKld1ZLVs81eqJbBDVTU0TWV7ZxtLVxCKZLZYYDk2UeBz+95DzoZjbNvi8qVN8rIkSWNW97a4/+4RNhkyrZBlTpwlmLqOgspkHBHGCVEY4No6uq4Rej6KAigCXRccnMYUZYnt2sSRj6prkEPFkrugCIMsyxBqxcRbQlgWXoBumFi6zvXdPoPh47z69pvsra8gswyr1iaTKp12Danp3Lv7kNXuLm8eD3E6KnlUkksdvZLEWYEi5pxOp3RW1vHTCfcfHnN9a53Qr5C2QNdcKCZUwqC/uYb/cJ9KKpiKSn9zg1rDYrqIMFWDtCo4PlvQ69XIswJTNYlyCYpkESVIUSGQ1B2NJIV+u4kXBrRqNp1WHUuBIJ7x0je+Ti5CclTiSiJ0HT/JECJGic8wNBXd0AmTklv3D/j0Zz9DrdFjHp3j1jOO5hmZryD1HD+eUbNraEKj5gjiPENXc771xtcwbLiytomp2iRFiaL9F5xH+vznP8+P//iPs7e3x4MHD/hLf+kv8YUvfIEXX3wRVVX/s4x930l96c9nWJpKmmcUVcVsdkSjWcMyNJA2cRJTlJK8LAjjEEWoZGmBrmmAAgrk2dLapgmB7diYGqxvbHPlynWELFAqBafeYjSZ8s6b7zCcz8nzEtu20FTotutMBucoMuPjP/AxTs7OyMOQ1IsJgwS33iRLEixLBaEii5LAj9ENHbNm4Xk+260WTz/zYY5Pz1n4Ad5sQClTLN2l1EqoBJpVY+m5T6iEQpHEVJrknbsPaXc6jGcz1tdXWNu5wdZsTuoNGYwWVIsZO5e22d5cZ7E45yh+gyxYSrSCIKC72ubS5jpSl5wfn0MRUWkZ89E+63td8qxHITQa/Q6j2RTHUrn26C6aVidME05Pztnc7NBq1Yn8jOlxxHhyQaflcLnR59LuFkLJUDWTwfmUYBZQAltrfWK/YurNOTvxcTRB77pF3GygWhKpRjh2Hz8tcDbAm5as7K2iOzpJNKPfqbHwYiyh0Oxa9LM2mBo5Pr/9b3+TbrvF3f27OBE02haapdJpW/SubRAuKiytjewE7OkN/OgURVRs7dWQoqRuWwhDYR78IW7t/lPri1/84rf//cQTT/Dkk09y5coVvvzlL/PpT3/6P+s5f/EXf5Gf+7mf+48+L1SNnAovSjg8OiOOM1Y6Na7v7VDJlLLIEapBEqeUVbVUIpbVUjylCZKsoHpPGW8YOqYhWGl1+Imf+BHqNQdvPqa3tsH9w2Nuv3uX4cwjKwp03SAvJQcnQ2azOau9Du3tJmenRximga4bdPsuqhCYwsHzPQyzgabm2I6GzCFJA4KkxGmbXN67TJGXBGnB6XCINz7AtU2kZqAIA4SJqhpLqL4Qyw5nQyeJQ3orDW69u8+vZim/+41XeO3Nd+i3m6Spz6PPbPHYzQ1UYeNoJZmls722zUydcxaNWMQlzbZJlvmcHI9ZX+khpMnsdIjuGgwPF8z8DHe7g11f+m4XkxGT4ZzOep+jwQX9XgdvFuBNfQzTIitilErS7zpUMkApDEpDR5cGlgDRqrO1LXjr7Tkyt1BNk3yRkScVh4MLTidDNnb6rDctzCLHsk1mXsil/ipnVcw0jJCFysUsIsxi+q0uiiHRTIHdaVCJlDuHL7O5fomNtRZVVeIYKkpesJjEOJWGrZtYWokwXforXabDGWGYUJaSWr2B4xiUFAj+CybSf7guX77MysoK9+/f59Of/vR/lrHvO6kvKwmTuUcQx1SC5dXIcWl325wOUoI4J4tDVE1DVZXlTL4QQAHKUh1fIdA1A1lJwihhd7dFq+FyMThjfW2VwXBEESdIWZLmGVDhBwGablChMA9SpFiQWyqXH1lj5nlkmUK7ZVPlKkFSEqcxvV6LXAoSQkzdoe60GB+Nca0+rlvnYjrl9OyY46MHaEqMpkPNWMWya+RlgahUPvyR53jpG18niQJYFnZp1gxWex0Ojw4oypIsq1gEIWWZE0cSL5WkyYRkMMZ2dNKTc8gTrEYdPUqxNRdUSbvRotNukEQ2NSvhkd0eYRJRn0QUqWA4HKLbJqbuYrZt8qKg22ySxyVpGGI5NXRD0LEaONsWtrbA8yJ0RWU0Sqm3KjKZc3WzheXW2N4qePfukK3eKs8/cxM1CKmqEqmoDMc+h4cjPvWRj+DInP3Du8znHheTEtN2CHwPy6px5dIuHavB2ckBtmVSegKtDopQSEKfK/1VuppFlJcYXZuw5rN4b1ZMK5aH8ck4oluv02s3SdMCtVKRBdhtizT4r6j7++TkhMlk8m0V5n+Ose87qS/DOEMWEk3V0XWbT3/+h+iv1Dm5+xatRp1ef5V37x7izReQy/dwt+rSfF0pqJqKpunIPF4SQhWdhw8f8K9/7dd46pEbLOYLyrJgMh0yHI9RVQGqSpVXZAVoqiDJSuLxgkoXXN3bYnoS88Y7D/j4px7DUMEwXEzd4fDBCYZmYXYc/DTAtARpkdO0HA5ODjg+GRL4c8IwYnXTZTAOUcwF65aGKnJMvaLMfD77ye/h1/7N71BUAn8RMPczPD9ie6dPa8VmsYjZ3Nzh+OCCPNNRpUpVlsQp6FpBrVMn8bKlGEBUoAmahoWQDo6wCAhZX+9hGzZNo0ZDDwiyjJPxBUppIqscRc/IcoXh+Yy19f5SoCxAKDntVoM8VVCUNq7rQp6ws+owXkRkhUJYGgzPQs5OA3qdJrbt8nD/EDXLKXJBpZjMZyl1yybJJPfPzihVjUgqqLaFMHUa6grbmw2m8zHhPCKvWHpy1ZwiLrB0jSiQ1Fs1jEYLV7eoFAjTnEv9bVQU8iBhMJuz1rZp1C2MWovReEq70aFTrxNnKVXy/uP8D9TY1+l0+Lmf+zl+4id+grW1NR48eMDP/uzPcvXqVT73uc8Bf7DGvjAK0QwL0pBms83NK5e5fm2X3/HPMeIF3jzlQx95muEoxDA07r77Ft7cY2VljT/+oz+B45jYpsU3X3mR0eiQIs6ZTBZ889VvUXMdut0V0jhm7vmUZYntOJQlSFslzZbDgmmeowlBtIjxZhEvvXQXVVMoC4Hh2CRhgKkJVra2KMqKHIHqmIxHY0zFoshzTs5PSdOMspAomsnp0KPbbWA5Js26wHRsZvM5dx+8hGM2aDcqTKeJqUku3jpmtd9FGCmh73Pl2iUUFDa3++R5RpU7rDYbjKaHVDZYumScRmQZdNorbPZ65HFAoWTMiakqFVs10EsdrdKoazUuzo/RSgMZBTg1jaRIydOYZlMnLwN2djqURUKVxKTelEuXnmY4PKTuCkrdIgokoRehaQIqm8HJjFarjarl9HuCJK6TLHKy0kAzTFaERFckL7/1NokSs7HaQCYFpqYThT6O2SQMNWzTxZQmtutSlgnHDwc4tS5qpdJv1TElXFxMGXsTTN3AUHUOZvcwVYtLGzusdjr4wRjTNMgIQFl2nfQbDZS0QHv/Rbs/WGPf3/k7f4c333yTX/7lX2Y+n7OxscFnP/tZ/upf/au/54ryB2XsS/OcWq1Bkvjs7e2wvrFGEkfU600uJmfkhURRUp5+8iaTecRrr72KVDQuX71Ku2XT77RpNuvMJhtYIiYNYpJMcnx8xp17+zxt1xlPpihAnqZUZUkYJmiaiaaqCH1Z6MiLnDAAWahEScqnvvdZdhpdoizDdluYhk6Q++iGQ7vR5HhwTpKAa5goqkFRemR5iF2rcTyekFc+jboOuuTBcEivU0epDDRlaZgwqoJcpsjC5/HHNrl/f8bxyZSigjQf8sSTj3DiHTMajLm02eTO/gwkjEYjDD1jNi+IA4VQPuTBcYynAJrCeq1GwzTZ6q4j0owizVmkGle2r9LrNLj34C7NTpPjyTFaXRKGKqpmMhnOiBOfeq1L067j2jmtuksSxwynM7JMQy1NTDXj1tv3UDSdeltQazSQQmfq+2jCZBqcIUITZEYuBWbNpFQqnFoDXSi8dfuMCoPdDZuTsym7Gx1EplCqkigJuXJ9G7W0aNVNHE3HcVyuNLvM5nMM28YxFVRK0rBidW2V8WRK4Jq4rsHd80OGc49LvQ3G0xGqotH+w2Q2/KeMfb/+67/+n3yOPyhj33IMIkU3TcLI4823XsfWCk6PjgiCGNt0qZSMk9MDLi58hNBQVDg6PeXLX3kJVZT88Gc/Q5YkiEpB1zVarRYPD84YjKaomoaum5i12vIcSlboloBKQZBzeWedie9zdjrCdhwMw8VxbNQyRiGmrHJaegdkge04nJ0HXIwSnIbAcUz67U0CPyAtIvSaQm3FZS1r0e61QZYIkdLq6lQy4/h8SpaqyCsZi4sZlzbWMRpdhEzo9TTOLyxWV1s88uiT/Nq/+g3CMMKtWVRVwpt3HvLJF57m7CRi6kc01ldx+w7exUNGQcp4McOydFpbGit9jfPpPkpqU7dMut0GtmJSM23W2qtkFBi6TpI0WGnZFKVKlCVkkUArajTqLifDQ06PZ6iqQSlV/Ch4b2iupFQc4ihh5iXYTgNpVpQIZJnQaDvMR3OarSaqKvCijIbeIJc5fpDS6jQRhkK9LpCyIEtzVlf7zL0hDc2iIqXeaiOkZDgf0lFW0DSBbpc0a8tZrjROKLOUKPJp1W3iOMSPE/qtHjWzhsglYRLSdOuI98+H/GD32tVcB5Csb7X40BM38UKPqecRxQlbO+vIBKgkYRYznYwwDJ0KGF2MeHh4TKvm0GzWeWR3lZUbeyjA/aMBL79+i/HcY+57qJqKoel87rOf4p/8ym8QJiGddpsyFyALnrl+ibVWi7Vei5df+SY3rm5z7YmriCqlY+poLgRpQBinrK42uP/whCirUEqXyF9wfjFgmozpdCzm83MO9s9pti/RX1OR8wpv6CNqOpd21thsbyEzhb31K9QbLsO3X6feWEX3Sq4/usKDB1Pevf0mIDFNwd7lXRZBwdXL61QiwY8XqM0GZ4dnhJ5kd2cVTVFxzTqtdgu/UHhwNqNeWRgSLpKYuMxo6E00VUfqoOqCZlRDvgekF1WBUzdYq/VJipxF5DEPUjqdDkmcMpkFjCcRZaGz0myzt7XG0dExlmigSI3pxYxokXHj8jbj+YQPPfMk9w9OcFyTRsNCCJOOUedefEa7beGaOZaTs0gS/GpCkNdwGjqykCBUFFIM1aQgQxgqC39KWuYMvSl128F2GwghmHgDanoNzVBJ03SJp0alpjtkGdR7Nb4L9PcHO5Hcuk0Yhei6hq4LFBmyubMNssPJ2QF1u0YORIsIIUATClJVgYpO3UI3NOI4QVVVktRD0zXevX+IpRsIIZjNF/S7bcoyJ4tiOr0WvX4PL5zjDyOOBwntpsMzj11m4fukeUrfEQhNMp7OsGwDRyiMJwGn5xN6qyn1msbJqUer1uRkesr5YkQhJP3NBrZpc/XRDqYu0FUNt2fh+4IwW5aUQ2/I9voemxubvPTKNyjSjLeO7jKYzdFNie1qZJnkox97guPjI5QyJIlU2i0d3w9J4wJdVEwSD9dpEaQhpltHMzWCMMHVLKowodWyQU0hUUnjkEq3OBoeMo9nWJbFzsYq1XRApWmYhWDmB1SywtJMFCFpNxVEJd9joiesrzWxTYd23UYhY2u1TpEumAwi9k8HXL+xS2pYnI9DkuSYWr2OUuWYqkmSV9hNB9t1oCwhlSiVxmqzzu3jY3bbO6RhxkVyxkZnGxdBrqSgKgTZBG/u47omIrWZLmZoxQmUFZ3WCqmZoVaQZTnzcIFeqWzsrNLrrVIpcDA8ed+x+IFOpAqJbel0mw0yv6Bbb7Oxvs50NsCt2SByimmKNwt54vEbvPHWbaazAF3TqKhoNpvU3BqqZTFbBEyHHvcenCClRFdheHbO6koLx7bJq5Inb1zl6GyE589ALm0HiyDBbXR48fW3SUqY+h4Pj/fRdJXTyQwK6DU7rLTbjMZTFoscWdXp9erMLy5QVAO3vpwmbTc6aJaKn89x4hbzZIAqVOKkZDAasjAMxqHHKw/fYTqe4Xkxcz9HqUoWc58kFIShQqfjLsfrtYrS0DkdTEnTkjDMCBYRlmORJiFkGVvWFmN/ysXFgNbCgFxyNlygCQVV6NiqQdue0lypozo6iyjg1rmPYShsOX2KAuI8QVX0JdDF1vFChdk8wDEc9nYcpFlSM1wc1eJocExzrc/+gyF5FqMoGlkyJQsEaIKpv5xY7raXjqhmzSWTkiKPaTW77LQslLRikF5Q5iVjb0ZWhbRrbfJCcppPMDUNIRRkrhDLingW45oKZS7Z2tjAREXoBg+np+gIdla2iMocFck08qkndXRT57tobPhgJ5IQoAiNMIhwtmokSYbrOlCtcHDyAC/wmZwtQListODatXXu3b3AW/goAgzDZqXfA2EQxZI0hhKBqoOiqiRFTqPRxDYMgtQn1+cUzoIsTxAsiT9hXPDWrTucj2dYjoOm2fjzhCTLSZMcSY4oYR7FLKKIhV/w7FOPk2U5+0cnaIbATR00IVA2C1xXR6IznnrULJM8lcRJwdFozObuOgfTQ7qNNotxzGQWUigSoVRUuSBOYja21omLC9Y3t7h/74iyyGmvOpRSkucZdqMBaozeUqmZbWbTCfPFnEqBOF9ui5SqIo0zLFPDi2MWQUozi6g1LZqOS8eukakZRZajWw66IbE0QFhIUdFyN1hrKoxmFyhqQqrk1FyHdB5hmTYXFwPsukkwCMjKBKNyWDF06pe3GV34xLLk5CKkXlMp8hG765voNYVK9Zn7IaNJQKBENJsOhquxGJb0ag1c1aAUKUmW4hotyqwgy3JUdMJYYXdtjdBfIGsO48EIy3ZQioLJfIYXxtRNnUIU3B/cwbVd8lJ937H4gU4kw7RYLAJeeesOw1lKmhdsX7/J+uoaB/9qzng2pu7WMTXBdJHQbjlcu9Hj1q2UMgfD0HFrddJSod1Z53j/VUQluXb9Kmdnp8yDkFarQ6teY/+1h5xOz4myjFrLJvFjWu06a/113rlzmzBJqLUajPwpp+MCVQOhVJSyYDxbjnAoqkaj0aHXXeHlV19B1XWyLCOdeqhqucTwFguO76d0Ow5prSTyJWWqcGnvQ4TpBN1xqHQNqUuEIag7S7jJ0b4HQhCEHk6twenJKWkaUW86LPwEyxI0Gg55AeutPmeDCbleoJuSpEiwdA3bUtHQaDYcsqxEEbDq1EkjH38WUG+4OJZFLjNCz6PWVCklqIrFeOGx3lslUySLZIgoBc2Wim618PIFShWyyOZkhkrpKwwmCX6Q89jeFn6UklQCRZY4tkIUeGj6cpAxCXOGgwsSJG7XIEYwWAQEcYWhWwRuxvrmClG0IJZQ113SJEWtQnQBtqHjuA41tUYQzijylEIrQSswLEmRVaR5Qqdt4xgGeZGRZinTMERkf0QSqSwr3EaDqCg4H06wHI13793DmzXx/YgokvjehBs7a4xGPoOLc4qioACCJKKv9uit9qm5LqcnEkM3uHllF1VTsE0TITROzwdo6iqiKjg+nrCy0sOqVQhDJwxjRuMJMy9E0RX8MKTebZAvPLKqJEsLlGo5yes6dXRDwzZM5tNzLsZnqHqF0GzyMgUF/CjEaKg0V1W6qw6D8zmacHCdFVY3eozzhFyCqUrWayu0PUmRJzh1C9dpk2Qlg8E5i3kAiobdANsRhBcFhtmks9Wg0agBClUxRVUtUi/EUCWOrtN1a5iuje1apHGMEBWQYuo2/XYTVRNUSoqm2ziNLhe+T6um0W01iZWMVBYcnQ2ouQZlmaAZFr6X06jZLIoCqSgIYRDHMWvdOpapscgSmq6z7FAJQ+qui0aGruucnZ6jC4dZkdLr1JGRIFYVBC5lsqC/1mW13uHkdIFbV6g3bBzToW7VKcKCIktYa3eZRhMWRY6hqhi6svzbVAXkIWmUICqVplonzgtyWWGZBoUsUbT/ilqE/jBXnIW0uh3atoNtNMijggf7D9ndeI6bj11n5A+Io5jJYEpQVszmc2QFhmWiGRZSZrz8yje4e/cAoads9Gxqus5kNsewNZI04cHJfZJkwfHgjE63Q5QstS5SKVAUOBsOKCtJp1Oju1VjMU1AkaAoGJaFbqhkcYrlKKRJiW3XcNwaEqjkUohlWxatbg9VqyiihLV+m7rpktYhiaDZqFEoEyrpU2YphV2SZQvWNtYpUpuqynBMBd8vyCsblYpmo0VJRikrVDVbJk0ZUCoSUbl0O00cu8Pp8YKW69JpNTF1FSVfsuEoHFzHIRMzDFNhxa6TFyllXGKUBr7n0Ww3yJKYg+Ecqeq0TYW1bpdZMcWvEizFJK4KiiAiChIc00DDYWXTwKoqhC1xai6Toc/1Vg/d0BlN5zimhWtb9Fs6s6kPuuBkMGVrpUV9pc3WpXVaHQ1Dq5DxDLPKEdJkcDxjqkXYls7l3iYVFnmVYQgL1VCJ0pip56PqDkI1qKRKmkGzrhLJADJQTRWhmmRTnzj5I8K1U8Syzcc1wLIyKgdso8Stm1zd6zN964gnbt4k6nm88+Aeeq1Lo96kURfooqIyCo6nr2N3bQy1RLUqiixC2BmiMCmDHL+YIcU6zz3/Al95/cvkRcx4HiJMwWQxpywldl1n99E+UZLQ22rRaLUJvIQoyMEIcHp9+r02WQKtepOk9Ll0aZXeeotKqgwHA/qrLlN/SlWptPoqlRTsXG2RJSVFNcEjJ9NiSlmSJpAVMRfTc1TDwtXrJEVMJBc4jZJu14KiQCkNSlTKnYJw7lOv1Rl5F/TaLUzdxjA81lbrpGmEt4hZ36zhODUWqQ8st6OlUhCnOZVwMNFQdJPd3iVEdkiaessjiFQQFCmvHd6mXVvBC2OibIHQludnsyDAsi2c9jppVpKMBkhZkng5hqjRb7cwhMZKdwMvKYiCAMtSWNvcZXND4eHdWzh2iygoidMFcRXRqlvESYJwXBRDIS9SpAL9zR7T2YTDyRGmYeAYLo5pE8YxZZovR05qLkfHA5zAwtZNhrOIVs2glBFyohCTsbnax1SN9x2LH+hEymVFmUuSJHsPSt9iHk74l7/5qxi6ymA6RtMKbNXCdgSWrdOsqUt8V56Q5CW6rpMWIcJymAYBUq1wbZcsSFBUk+FwwUefXGGtv7F8V8+mWFaDWT5BSg1ZlrimRRzllGpEVUXUay51u4HYKElzjbQoaLigdQwMs8DzPXavuWi1lEJWrDmCVkvDbTYxVJtKk9TNDpGcILUCjYyqEERBjG1ZVEqEjo6wBUkQYVQqSRETFxU7m11UKkpKdNtiEQSYlkpr2yHJM4pcYBk6Wk9HrQT1lsl0VKCqBlEak8qcQkqqosQ0DKIwQdM15sQ0VINU9Xjn4g3SrES3NYbTCa2GS7SIkEpBIXw0RbBSX2UyDbDrkmbbwY8NwrBgOp0xm07RpWR3vUtYZQyGAYOiwGnYxLlENwtm4YSwlHScNuNZhG2DZVkYqoamGWiqjtNyCDwfSDANB1Mx8CYBsRchNUEiYiqjJNIqHLNBWSbEWYjUYhRFQVV1dAP2umtkUUCuLVuvFKGy2e1RKX9EEkmWJaEfEVcF3mTOYlZgCBVZJZxNFpRFxmQeYusmaqGAbpH4gvH0hFbTIQgjFMXEclRGgwl5vnTkqIokDiQUJtFEMp6OsC2TnfU9oiygrCRlodJpu4ShRi7h9GyM2xK0ai6KrqPqKWEQ02o7KKpOy7UIlYxck5R6glolFEKhykwMw8J0Taa+T7u5ihePybWQLPSQikKYxYhKJ/Elggy3ZhBlkmgaUCQC1Y0oq4pOs4atNRmPhmiaIAwXpFmJVXcQGhiVRs1tk0UlhRqRZRmW5SKFgFJFqIIgjrF1g2bdIEwzOm53aZlIC3RdpSgkUitIkAQLeGR3h5k3o6bWlmMUeYrpWERBRJUX+POS4dmM/sYqbs2gkjmGZiKUAlVKdC1mY90lyxXG8wDLsthod5hmkulkwuxsgd3ooKoZi3hCr9FH1w2mXoBea9FZWed4/xY1KpQ4pywkrmGhAq5j4Zo6uqFhWC6mbaEgKSqF3MhIgpy2VWc88FDSHNPRiNWAbrvFxB/j2O+fIfKBTqQkzug2DYKFQhSU5HFMEudUQiFKMwQ6RSqxuw6WKvCjiqPpCKELDo5n9Lo9Aj8gihPSLCbLJQqQlf/f9v4s1rrkrO/HPzWsea09nX3Gd+h+u+2229gBxzF2J1JuYtlJICO5QVFCIhSE00bKoAhlliJlUCIlF/k75CrOFUFCikEihp+QDSYmjRMbG+y23d30+L7nPeMe1zxU1f/itFs02NCGxqbx+Ujn4uxV2rtWqb6rVg3P8+2RVjOOI9Kpx+XwDHK5pnQ1ZnAY4xhPI/YOI1ZrSxZPuX9xRlc6GHdEyZyyqImTlDgJcRp0GjNsarq6xmlYbgtiGXLr6A6Xq0vQhjj2sW6gaWom2YSNGoi9lNif0rUFpa1RRqLagP0kYeVqBmeuok9DTeT7rDYlBlCDwvYDTdnTu4JxHNLUDf2gUU5dRfbamrp39O3ANJvQDiW+5+PMQNlYhJSUXYMvffJui+f5lGXPwXxE2RS869G3c7m9IE3H7CUe59slz5/VONdTdw7tRWyWNUEcI32Jcz2jzEeZiLpvkJ4mDC0+PWVhCDSMdERXF3gqo28NaRoBAc/fPWFvFtO3NUNbMhqNCKKY5cWCB44eIK8uSGIfT2ukhRvjOaPxhHy9pLQNRtcoJE3V0PcO2SlGmU/X1Dy4fxtfajrTMRiHr33KuuBksXjNffENLaTdmzP8MCDuE2b6AGM6zHCVVHFqBbuzOf3Q0pQbjg7nSJVwtlpyvlnQtRKpfcIope5zrNTs7sYcHh7w3Av30Vpx+86Y8ThgtSzxiEjGE27cNtw/PufhR3Zp2orRNGa+IxjvHVDXPc2wxdKyc5Th+o5usGyWCzabnAffdJuz5SkeKXnfEHopoZegjSF0PruTlKjzeXB0B2MFItlnU+f0fU+gQuazXezQEXkRm0VO29dEweTKBCAS4BqE0IQ6wHVgnSUbxTRtTZn3V3E22qPrribRgRrRdC22u8pThxlIgxjl9URxRD/A8fkpaZTg8FnmNbdHu8R+zMpZ7l2eY/yBcrtiN5nSmpKj6S7LdUXR17SyvzqvqDW4gbPz+8ymE9KjiMuLFaE3ZVMfIz0f7MAoCfB8xXJZ0w4t2kHQNbz3Ox7hjz94CKLgC3fvUlSWYCfDNhWzTL78AAgYesfQNmjfxyqBHTp6ZQgDxTaviKOQtqvZTXYIZYDyDKaPkAja/iokZzYa0zQN0oTM4m8TV/O9mWIUaLpBMEt2aOuG2dvmDKaj6cDTIWkyRdo5aeCx3Xa8eeeIZBFg+gBUSxiM2BYXbPNLbt05ROiaR2f79I0l8iTbVYUgoCwNWjaYoWNnd0I6idhsBgZrqIcSWk0USubZAaH2WVcLlB9gB4WUHnGsuDg/wRMKoQUP3nyYJPGIVIApOrJBc1OFTOMRZqipNzX9bkIXQNH2WCS7O3tsNwtKWxAlAYmXcJFXxEJTNIZQKIJQU24bpPPw8TDWEQYRSkowPkJYogSC0GNxUeJqwWSaIgCMpNhsScOQou8x0mCsYACSKCOSY6TpMG2BEC1WdmzWFcV2DQ5a2+Pbms7WJKOQppPMkowgCiiGkijyiURP3bYI58irBcIo4iil8CuEUlR9w6LqUE4yHc9ZH5/xc5/8NG97y0Pc3ZwznaVIr6VuctbbDbbrme6MiTyPaRoTdxqdRKRZiDU9ncuhgUTFtPXA3uSQG3s7XFzep3aa8UFKvRxIvQxkzyxKqIQmr2o8T77mvviGFtI79Ahlfd77rnfTu5ZRKDk9vg9izP3jc6YPzlFhxNPPv4j0Ely+wNiUGwdTdvcmfOmpp9nf9ZlOYi63I9A19AH0A1W+5ejmm2DIGVxP3qwgKrDyyrG73KwQw9VRIjwPL9IcHh1wdn56tZIYhCjl03gtkoDZfIem6Qi9q8WHri1ZNT3zjeUDuw/QFvnVKfTIvuz1U7CVA410eCIgTCK2RYEQHnLwcNKileTNh7dYLlcUxZZBa6JQM1hN37Xs7Uyom4pgHGIrgxE1CMfO9JDF5ZambhkaRVPnGAPTyRRf+AQqpDUtTdtQFA2eSNgZhURAXlWYtodA0/U9m7zADaCN5aWLNVESYP0rw684igg9n9pWKO0IQsnq8pRbt96GK5bIrqATPs+enlPXDW7QBJFEDpqiqQlHHU0CwkiePDshHWmevnfOrZtvwrkaP8h44MEZXgtuU1LbLSpO6Nctg7zL7EZIqiKmsUdXB2grUU6wXbX0MuPs+IQs2+WRt95i7IXU25Ik9tlUFdO+57LYvua++IYWUjSbU9xfsrl7j7rcsA5TlBJMYs2Ddx6lvrgg8Vrek01YNj1ku7SuR28qpPLY9cforiENr5LDr7uScTbm7PycaTTFuZZs7LPJSzwpkYNESoNBECcjsjSh6ip8HeDpqwhcqQIGB54fY41jNB6TRhmbzQo/8NluczwVY9qekfA4vncf71ZAl9dEHjz5zAtM04i8axGVJZpo6tqgW4MeBEIGzLKQi+UpUahYri/oWkugNMIKqrrHDB3OQeMGWmXYLBYEJkAJhxCCzeWa7SrHWIUXSLpuQDhNVzsIFP1QYayhbDqSMEFawBicHOiVxtmefLPicnmJcRDqiLps2B1Pyfua1jV4vmLoO+LMIHpD0Xa03YBVcP/kPifLgrFStINj0W4YxRnK+dyY7VOFNV9+qcYXhqObM/w4pmsuCYOAvOlo2w2jQPHg0R7SV1TrJW9++A5fuvssm+bKkXxfxNw/B9sMDInmzuGcqrdI8/LWQNVy56GHGYcpbVFz1m8I/IBUXFlhVl3Bab56zX3xDS2k1fEZDxzsMAyWKJjRDZa+7+n7HuFKrBW0PfhuYB4lTFLJ3VVFKAX5+ZYHb+wxrBeUnWHm+0ylQuGYT+eI3uIGGAeaYRTywirH8zz8wGMwA6brsUVLiKS8yPF3RrSug63FTxMST9AJw2ZRIH1LpBSmd6jGI4w9AgsPJSPWk5iXFiccZDOMEKhRxgvLJaNZwI00ZluUyHRCVdQkgU+Dh+cks2hOXW6IkzGhVGhtGYYGJzzSaILAsdmcQ2/xXUwYxUhr6YeebdHS1AN+EhL5IV1vSKKQOErRStIVOY2FQGcIYYhDj6EbUFmK1zUYKWntwDzLsM5nGk8o2w1d2xJGBtdJjNPEWcAm3zAYi0FgXcvu0QH37l/gZxB4kqZpETZgcI40S1ls10R+RBIE1HmFtCmLyxOkbNnbDXjooTlahlTVhm4oyJIU7Q/cPz9HpSG97Tk5zxn8lvOLAi0073nL26gLxTOXZ1gEVb5hMsoQbUu+1Ugj0FLg+R7PHTsSL+Y8v+R8+20yIlkLy1VOFEqEhcQfwI84XxbIGOrthkFr9CjAF6CcYd+HKI25402QnqKe7tCWDVqAl2iqrgNPkY0jTNuAp1Gm5fZBhnQdJBl1mdN1BotHqAeaNKTcNEit8JJ9lLraXypcy944IekVgZQYYGtyuq2hrzuKak0apUDEaBxzcrzE9wUHR1MG2REEPtQd5mLFdxzs09iOpQLh+2SDYzlY6CRxlFI3JU6kV0/oogUnGMsxne6JRxFNPTBKU6JxTLUtycMa6Wuc60F7TMdzyqqgGkpkrPE7RxqH+MMAvk+SZBT5GujZljXNYCj6Fmca5qMRvREYAcr6jGJJ2ykiX+HsQByOyauGlpwi33Jjdsh5ucb0Ds8pdqc7dLZDBD3d1iJ7x9C24IdkQcibbx9wfO8FtusKREBVN4yzlHVV0YsWpST1uqAJJV7mc/vmARNP0jU9fdezKNcMK8vp5QaHYjqKOV8v8QMPPwzoup62XBDFY1SnGcsZ0CP4NpkjJaGmNwbZSiQOO0jaoabuJJMxTB4+ol4XxFFMUVVIYfCtJXQGTzu6qiTzPbxAYYaBcluhsBgkOhQMdkBagbQOJQ1N5wgpidAkgY8VgJVkviOyDk8KVJzhuprOQNQJQgRmqJlmMUZ6TMcxvbEMWYoQEPmKquzplmuOtEMqSV233J5nOPTVWTxfIQdDYA2R9YiVpBeKvhEM2lKWa0IvQGqNFIoo9Knqq03Wrdkga8d+NCKMJfXQkiU+oRRs8xa0dzXJL69OgCt9ddYsU1d+UNJpbOBxvDhD2Y5uqHHaEEuPpmsxvWVdrtAIeuvoXIMODD1QNh1KaKp6hURdrURay2zngOPz+ygiojBAJxrnJMlIszAlvvAZjVP8OGa7XuFER7EtsRKSdExbbin6kiSKuFjkjOOM3K3B+Gw3HeWi4fA73sYH3nvIr33xM4zmA61oqOyayN8h8xS6DghGN2j6Dcq3uNoHJ2hEjyfXaCGR7luYIPKbiZKabBSi/QiJoS0LggTwNH3VYeoWYWqqvCWZTLi82OArBWVFUbQMTuBEhUagfUWgIckmGGdYLLcEviKWGonC9QOe0nTG0jcNTkkC6YPtIfRQDNSdxtZLPOnAWHzPoypbfG1xpmcYLP1g6Y2jdz2p71GsNgShRxhr6qrBD3wyT9E2htnBHs6c4UUpCEugfNIwQauA9WbLW5MI4UfUwlDVDZWT9L3AR1695uFzkEw5nIxZl4YkjlgvjhFJgPR9dscR+WqDkh5V2+OFAW0zUC7XaH9EkIQUdUU6m+AHIW1TXx3LQdBVA6PZDr1r6VyPNpqd0Zy7F8cUVYeUHr10+HJgMB1BFOBQOD2wKZ8jCD2kUMSeTz6URIlksynRoaDPO+LMYzKJeem4oMrXzCYTtnnHdtESJil12+F5EjNIirqiMpo+rxicxgrFpz//BcrigHWlKBcblMiJQ0uqBZEKme6N6X1Jvm7Y9hVpNGaxPLtqI9EROo0W3yYbslL0DHWD7wac9rC+4Ew1bOpzMp0gGo23N6W/uyZpWiZZhAR0nNDWFVXeECp1lWLKh94Yuqa52n33BFGUUJUtQaAQQwdCYL0Yp3ps12O0BSup8xKEYxyHGNPRNz069BmsJYk9BgutUQxIpIC2L9i2lkCOQSeMZjFd3aFjgRMKbzSl2BSsTy/I4pDGCmxdMZgav2vwxjO2ZcdsEmLrnmkcMNYO66cQOLzBsGNSrO1RQUi53HJzkmGFQNWGvu2ZT0Ycxoo+HHF8uWYnTRHaYFVIZQMuio7LszOMdmzWHenYQwmPUI4ZGsc40VR5g/Qcg5WAxg4N+9mY08ohTEDTDbQI2q1kbx6itSHxY5w1hIFH0wzUbFFS4PCxBszgmO+PWK0tZdPwwANHXK5yJjt7pGmPtjXWVzz95UuKVX6VinpbkWYJZVMy39lhnZdY5/Ezv/Aldvc0OzYj0ANtKWGas/ZD3FBRly3rpsFYifIGtA7x1YjfeP6Ut7/lQbarbxPHPuPA92OklFjjqIoWVVv2jh6gszlNuWGjA26PQoTn6GpHoBR1USCFJQoCBtMzSmKsFJRtRWivwh+6YcC0G7wovnr9kQmua6nWS6I0wZuFLI+XxGEGUURRDeSLHF92BELheVevMcJdeSJVWuL5PtY2VMbw9N0V+gHHdJyxXuQIM4D26UxDtdwQpz7SDHQdVHVPmgSMw5htXbLebpjsjRnaHqc9Gh3T1wbXrAimc5q6J3bg+QFdWzHyBNrzqTZL3h6FdNYwDIYwjqFq+K4bY06LHF8FaGEIH7xJkmWU2w0vnpzx7MWGhJDBCfAietETxSnPHd9lPjtABAuSzKevBmozUOaGkW8QeU/dW5Tvs1ps0JFCupimrvnS08f0VvHwm3eY7CbkZY0QPmkcstyeXOUjB3oqqmJN5Ck2xYKhHQhGIZN5wGbV4FyAHymynZT8pZL1quFiUVA3Nek4Zb0VjKYefd3R9C0m76kHw3q75ubRIUNv2eYdbaVRGKSrefOdB3HWMZ0fvua++IYWUpb4eEJdJa5IR/hhwM5eQNn1PN9VDInk0aMDvO19hFIksaPYFiitWdVXecF3khghLKt1ydAP6DSm7FusAy+NEbInDEKsC1huKnQQo0MP03X4oY+RPW3VEKczyqYn9sfoKKEbCswgqcuc3rZIl5BEIYttgzM+h3tzwjglinyaTcNslFIimPop6/VzqNIQT0b4ScpENQym53S1IdARbecY8gprW6L5AV6cQFUitGa93KBth5EW4zzaXlD3PcnhDrfvPMLxU08SmxorNf1mjWkFjR9xY/eIzckxWRgy1AX5eo2VklvjiEcOdlmXBY6Uruso+p5eK/TeDE85tDzg4myNkwLTGnaz+OrA6niEZyxqAOtinIDFScnDDzzCYC9xose2hrOzmqOjGfkmx3QDCo16OUVYvs2JxxF1u0BL8EYJ/eBoug6s5fx0wd7uDmcnS5wAC0xHGWkS46Ua5TzqypCNErQtaNqevisQCGzb4Yxms63wd3fJYh8dCIpmwzwdY/8gjcb+MNH1PdoDPM2LqwuixMfW0LWWpmmI9lO+8IUnOZQj0k3BzjjAjxwKn90kou8t9B1F2eBp2PSCy2FABCmuqTC9AwZaUWItOOUYbE++HpCBj5OK0FPESch5cYmWEicdVbumbnsirhzIjYEgi6nqBoMm8SUVloaWi0XB/njK5bai7TpGo4TpjYcJRUm+rQjlhsW2Ig0jAhVgEcz2p5xfbFA2YLm4xHYds1ChVExVb5mMI5b5QNsJ0iRk5Cvqyxf58vIS05R4pkbJkMDTOFPRb9cstxtCrcirhiTOCENFbwbiMEArSJQEIRE6JnMOJQZuxgfUZYVD4bmYRdOT6oxIGaw1qEExike4oaNpepyxXGwbjp95lqnv43see/EYqQzdqsaWHbPdq5zpVdsisSRG02qfelAIZ6nWLTvzEaOdfVZRwyk5VZ6zuxOy6Qw7sxFJEnN8fEI0CoiiCUPfYm1NEIWEUczOZJfLi/u0TmGtZDpJkZRIGbBalUg0tnZo673mvviGFlIhBJtViREDuTP03ohaCZJAcNNM6FeC/UmC31z5Hp2tG4yy7I8V49mI7bK4OtYiIpphIIsEwo/xs4C0C/FwCKfo3MCiaUmyBNcYAmXZGoc/SjjvOqJQEcqY+xcbjFBIaykHixdZqq7B8yR26FmVDXEcIqxlPBlzt6zZlQqjQiY7HtvVkrqzpLGlygVla/F8R+uFBAik8DG2Z7Pe0rQNntKEYYLpGxrpo1+2/ux7R5oELIuOojVEYgAHmd1Q2I7tYAjEQIfHPM1QHjgkfdMRRgm9lKi+Iwp8knRElI5AL2jagfE4Iy9rIk+w3BRYz6e2jtt7Bxw1OQKfbV4y3p2jA592MGhPY7RDOMfU+lRWcmPngFAJ9kcRF5eXbOueaRIR15L9yRTlGzzh6IKeQSqKeAAzgHP4YYjC4OYxdZogvI4sHVGhWG5zjLTcfOg2uRxYbEu0kOgswg49k+mUvu/wtY9pBqIoJE40lg4/DJkFIUMPWeBRFa89sO+1L5Rz5Qrx7ne/myzL2Nvb4y//5b/MU0899aoyTdPw+OOPs7OzQ5qmfN/3fR9nZ2evKvPSSy/xPd/zPcRxzN7eHv/oH/2jK8Ovb5C67vCCkIObV+56qXHsZBmitrjAAwXtestlUTAoCaFG6oC8MSzWJcW2wBkHGtIkYDKKrlaRVhcs65x6qMnbntPaUljDM4sLTl3Ls3nDZ47v8fmzS15aXfDsxYIvH5+zKlrybiAKQ5LQZ7mt2FaGTmqMUpRtd+UIiKBarlBFRV4abN+xKTp6o9BhwFPHlzQeSNvTiggjBIMWiPhq3mWMwfQ1ioFxDFI6jDEMwuJnKSfLksuLJanuSWVPXjd0naGuGtq+wymH9mE2unqtNZ1DBh5SSaTn4StFFIZopWjamvX6kiovsEZcjfRK0TUNvnB4nkcoBEOVE0jJZJJwOB9zNB8x9R1TT5IqydSXBAoCT9HnOZFp8YeBtmm4czjjaD7izQcTjhJFqiyis1RFTRxoRGtIrGLmRxyMRuxEEaMoYycaMfcdM6GYOsstLG8ONG9Sgj9+44jbteId0Q5vDic8Ek55KInJyp4jIt4y3eXB8ZhHdsbMleRQjbGbnpH0mSkPU9RMwj+geKRPfvKTPP7447z73e9mGAb+yT/5J7z//e/nS1/60lXCdODv//2/z//6X/+Ln/zJn2Q8HvOhD32Iv/pX/yq//Mu/DIAxhu/5nu/h4OCA//N//g8nJyf8zb/5N/E8j3/zb/7NN1IdjBcSTjUL0ZJXLYmRnHQXzGIfm4U4z8e/2CJVy4Xd0DjBUTRBW8dmsUB4mtZ0jIKIrYWTsqTtFySJzzMXK3bDiCgIaNxVStznFxumSU09QDEILs5ybu0ljKQg3NtlU3dER0dcbC5QPkSzjDqvQTqezS/R4VUHnU0iqqVmWvYUSvPCyTlREuDT4wZLw0DbNSSZZkXDi+tLDrOUctMzs5ZIB6S+x2gywpgBfMWm62g3BR2avb0dZN8xzzJW6xzlRUhrqHvonaRvGuKDHeqqIPYVfqjwhMApjbYWHYb0TU3gaUzfIZzG9zVGOsqqpKtroiAi3DugOz+DzpKFGm+U4azGDCUyBiU91NAST6YMbYdyCnRLEPikocZXPr6GZug5PNxjfXaMFgFu6DBKo1SIkhrjGjwdsakHgqYjHadIqajriijNaJuGuukA8D2JQLE9ueDWzhgtxZW7ogBEQDkYojijrdYMkYdzkp0gBeeY9RG4kCjwKIoOk3evuS8K9zvlH/5duLi4YG9vj09+8pP86T/9p9lsNuzu7vLjP/7j/LW/9tcA+MpXvsKjjz7KE088wXvf+15+9md/lu/93u/l/v377O/vA/Bf/+t/5Ud/9EevclP7v/tTYLvdMh6P+fCPfi9SCPBixGDZ5AucF0FdEyYRfujhE3BerDlpFlhgFs84mM0RfUefF7QMBEgqoBAQ+zGnJ+eEcchEBSxWFbP5jM3iEukJts6wamqUFIS9z0P7GZ2rOHrkj3H37gv4QuOUh6k3SOkz9B2+sGw2VyEGD+1PaGTAenFB34OQIUOzwUQwm4xZLpYs2hwfn8R4tNmY8+N7HOxlFHnFVKfcmUbEu/tQ5uRGc24KWtPT9Za+LJlFMYdJQmdDMiGoTYfUmqpuGEWazikWl5eEgWaaxAjXkEzm2LZjsIYoGiGcZXh59ARB29boMODysmS2k9Ibw87eHs12w+VqhWTACwK0FzAUNXo8Yug6RFtcbSwribWCRVEShBm2K1lvKm4c7NPSESjDyUnD7v70KslKW+OkRjuI0gRjHG2bI5EgwAooioo0iRiGAa19FquaMAkZJwFaCQLtaBtD3XdY5xheTrVmnWLoBgJf42mHs9C2PUo7ZJASBhH55ZKirfmh/9/PsdlsGI1Gv2Of/H3NkTabDXCVyxvgs5/9LH3f8773ve+VMm9961u5ffv2K0J64okneMc73vGKiODK9fyDH/wgTz75JO985zt/2+98Pce+qhU8cDgjjcac3L2HjBSuaFC+RzwoxiiEU3z+7gkkKZ3s2Iga73yFGxyLfMHefMa6bvClJlAO7Sy7fkJpGox0PHLnJpuy5tatXeoeZlrjnd0j8zQjP6J3DWXjuLi4YFtu8fHZ39vhmeMF+7MDNk2FxsMTirJo+Fx9gQoUE+lwUtMMNc4ToBUXQwW+QqsJfdPjphGusUgVo8KId908oBpC2uUlTz9/ykQ5PA0nqwWdVPhhzGw65ezkgmkcsywLciAbz2lkQxP05H3HUTxmkJZnlxvePvbotM9LixNuhBlKhdTbLaEOEcYghKNtHVZahqJhNApw2iPLEu7fvUsSemTjGaYvWa0KhDREgeLi+BxPSnamKRZB4F1luG0uC6LRlemYE5K6q5lMRoTCMuwpwlBhVUw43WM6TVFBwhM////xwI0DrIEBg5AeiVa4JGZbVIzTiK4tGWchePDLn3uG3Szm9mHCunVIT3CwM2c6Trm4f8LBwzfoi5Jiu2FwHtZ0eDpAe5Kqqmm3a5JoRFV/E1btrLX8vb/39/hTf+pP8fa3vx2A09NTfN9nMpm8quz+/v4rtpanp6evEtFXr3/12tfi6zn2xU5S5y2b9SWTUUbbQCFazrYNjae5uRNT1w3fdfs2ve9TdS0Tz+NovkPvLCd5QiwEWyHxg5C9NOPycsNoZ85yqPAlHEwSSiWvgufSlKdOL3lktsOmahhQbBuFrwO6oicJYqSDtjFk/hhhB2ZJBu1AJTwG4ePFmjDS+FHI/Xv3iUYT7l2cEvkBxXpFPJowns/wpwF5OyCkZHo4wynDtoLj8pzY+lTDisFZtND4k31cV9G2LZeLmiSKuahq8AJQjlVzSacsx6cXHMUj1qJEjUfowOfppufGyGdw8MVmS6ZbQuFxiEZJXj42Iwj8ECkdvbP4AvqqIPZ94jTmcr3FGYvQkqHteCbPcSpiNwiwUjEMA3U34KTmxs09VlXNqmxIQ0GoFF3d4KURYTgizcbk5YbBT3j2IseXOY++651sz+6B9JiMMxarDY2zWMA4ySB8tHdlXzpYwaMPHyDNgPI1Y9+wKFoWqzWJtLSd5bmnXyQJNBLDMs8ZRz6dgX4QDF1HFHl4gSTNktesh9+zkB5//HG++MUv8qlPfer3+hWvma/n2DdowbrvEdrn+PySqfAoh47M19zaTZhNAi5lyNE8YlMXeBcdsyBGmJ5QK3Y9TeJ5jLwA5xyJp4n3p3ieYjrEhL5EKokX+yihiALNW2Yx989rjFQYB6M0w5eWXhrWVc9YhXi9ZRTFnDYFzvdpu5I4GuF7Vw7qZVWyLZe0XUPYdsTaZy+K2RMhYjBcni1oyobDwyOUEowOd7i4vMcLi1Mu8o7DnQPC2SF2u8b6inES0HUZzjhcl+NLx9l6w2gUIlxPPcCmFbQDdInm3tDQuoHOq+gby7av2B/N8fKWi7xmPxbouSYIQ569vCAdj4k9TWQd202BUQbT1TRtz7ptyAfLJAzpuprROMFVBToBlLmyChWWbd2w6nryvGBvd06UJiS+QDmLpzSrdUGooLQlD3zXu8gbSaQMQ1dQDA2l0iRhgNSKWapBKbo+IhgL+qGiGSyhJ1isS+IwIAhDrFZc5CXKD+kMrKuOMEvph5puGIh9nywRFGVBnIzonMH1lrofCPqWIPoDTn7yoQ99iJ/5mZ/hl37pl7h58+Yrnx8cHNB1Hev1+lWj0tnZ2Su2lgcHB/zf//t/X/V9X13V+3rWl1/Pse+l8zNujPc4mCfMDmbcXxVEasSNKGTqa07OeoIkxpQ1Xluzm4V42qG1RhjHNM3ADDhpwULfDiAcjTXcW29583yPYrul7XpGSYotSqq6I44z9ndmmKHHGgsOBgFTrciiAO35bNct40jy9GaD72nEUKOkT9+3PDQZse3g0jboumeiEx4ejZFjRdd37DmJMANekmK6mnq7IrNw0bSkSYIne3bSlMnOA1xeblF1gx9YdBAxBB7bzenVnktbEEqf+WhEMo+4WMDWdnQMSGHpWovrNX030PmCMJowj2dsyiVfXG3Z1S1lU9M6QR2FjDpLZw1pllKuO4LYp7aGKNboIKAfOio3oEJF5wS5dIw9TdnUlEBlBTrRaBz+0BImEaNxwuJsQzJJWZ8v8GXI5uQeMjtkfXmJY+DcL9BZR7HNaVtN03QcZdOr0/hKMVifONWEgY/VPrYf8D1NPRhkb9hsanToseorpBPsJQmeVCyqhg6HFwYcbzc4TyMaQ+gpTrv85aNPr41vSEjOOX7kR36Ej370o/ziL/4id+7cedX1d73rXXiex8c//nG+7/u+D4CnnnqKl156icceewy4sr781//6X3N+fv6Ku/nP//zPMxqNeNvb3vaNVIcgVESxx+effZGHH5gTKMNvbAruLpe8ZZSQRD712ZYAxyQKaFyLGSyDubKtlMZD4hj6HuccWitqa9j0PSebFRJHbzo8oeidA6epihwv9pmEGYGnWZYFURwQKx+jBL4Q1I1hd5JQdZq3CI+LsmFnmkDXUEjDfjZBlx1vetuj9MbSFDW0Pdk0pgkkL94/43A8Z3+UkLceqRewEVdOelVj2JeKsGmwVcUeDiEFRdUy34/orWOwE/TRTZbLJXuzGVL6PH1xD+d3rKsKoTXdqkKpqxFBSUGZl5igpbMtgzH0JiGcpESZZrXZMhBy1lnsMLA+P0GagUkcUhhL4BoEjlpYGDrCyQjXWToHQewhcOxOJxTbLXQaFYV4xtB1LZu1oVKKSMH8xj7FZsvi7BK9zqmbhiCT9LLi+XuXAOzOU5QYGBawMxtRt46dvSMWywV+OqbFUlwcM4kStDLsZmN8kdN6imXbYLqG2/MZL5ydvZw3w+fhgz1kUVNtcm7u7xF5mntnF8gke8198RsS0uOPP86P//iP89M//dNkWfbKnGY8HhNFEePxmB/8wR/kH/yDf8BsNmM0GvEjP/IjPPbYY7z3ve8F4P3vfz9ve9vb+Bt/42/w7//9v+f09JR/9s/+GY8//vjXHHV+J6q25LnjZ9nmJZE+RLQDD40Dvnh6yV0HQ73hYHeXER4MBt/69C0ID3ypoG+phw6HJIoCBIIqL/nS4hitfJZlQescyvbQb5mlGbpvCKyHdAKEZTweEYU+QZhg+5q+7WhNixd4TMOreYYzMFEKE6fgOpSE3XGGcZY0CgikwlnDYC3COXbjiJ1Q0Ww2qChjUxRkWjMKxpyYkl5rqrZlnCRMfIXEYlcFqrX4yqPTPUNX4HuOk+UFsecjtOSoC3B5zWyU8Ozlljc9dJNpoli0LaZrkUrgK4i8AKREdCuMtPT5hlngMx4nrHMwTtBjefF8QVMMzCcxInYoJ1n3El9INtste+MJXVcjphmdE2gMUmu2Q8/gOUzfIaVPYSzDxZbbRzcQaUYYeqAlQ13i2p7EOTwbsKkbLkXBXpBAoFkDzjS8cH7M/XzLW7ME2bc0QvFMLokwPBgJRuMxpQKZxFCXDH3DbpIR1oLBCJxx7I4nuKRju16R7e8xzSLa4LXL4xsS0o/92I8BV659v5mPfOQj/K2/9bcA+E//6T+9YmfZti0f+MAH+C//5b+8UlYpxc/8zM/wwQ9+kMcee4wkSfiBH/gB/tW/+lffSFUAaBrD3o0pLyxWnBcFz6/W3I583ppM+cr2gmxH8pUXlxyHMx6MU9rLDQ/vHzAMA61yLFc5EkcSeJw1FfeLgsFJVvc6prOIwwcmmKphte3ZlCWNsdzcmTIbxVgGtOcjjKDvO7quBRxZHFP3PWfLnGnqEwYh6VyyPF0xmoy4n2+IA43vwcW6RsiWOPQI/AjPOTrlk013OV1dMEvH2LYlwyFkyOl6weWmJt4ZkaRjhKco+gY7GHrb0vQFgYhoBkszGJ68v8QwcOBpJjszrNM8vH8A/cB7v+tREq3xXt672ipL6glm6QHKGMqmgnCMbAoeevAOSl7FacVJTGuhazoePtgniyOKruf8Yo3UCkzPjvZIJ2NihitHv7Kkrgtc07I2huloQt0ZNusKL2hZ1wPzgzll0SA9n7Lq2NQlvelYLtZMx1PuHm85vlixfzjFzUNW3SXTfodbWUJRteiqYbNaMpQ5ddMSRDkHOzPqqmUwkq/ce4FHHnyAJElZbi5pMDjfZzeKUaOYwQ5QW+azG2RHtxHLE87tH1AS/dey5RSGIR/+8If58Ic//HXLPPDAA3zsYx/7Rn76a6KCgC4IuX20R+Y7HtzfpxzgJobv2gm412wIwg48j9wbeOAdj5DMJpi+pbzc0nsh2+0GZyV5OzCKQoQT3HjHo1TVFqoWISSTOGY+GhPFEeNQ44REKYGxgvPlgkD7FOXVapmyEiUkIdB3HWXX89zZGW+5dcCTz77Esm1ZegHz1JHna5AQxiHF0GOcoQ00zz7/PIeRz74SFFWD82M8rYhmY+4+8zxdU4FS7I8CZkFINJ4z8QTeaMz53TOMkPixIA0lgRdzYzanKVt0oAmk4HRVQtsjRzFeEmCtx+X5Paa3DimXC2bTKdPRFM9P8EYhDD0ySuiaAdE06MBnaxs859DDgAIC5eO5gaOdKZ7wiHcThq6jaCq6tsNVA7PJDhMp0F3LmYXJeI43dMx2InrH1YjoSRojcEoQ4CEIeO70DGcE4yjGtJahhzRIWCwvGScBQkqSbIIfxlh7lfz/2ctL2qHhrfNdaiG5cecW/ijBGDjPGzrVk4w9qkSxbVvSNKSre1pn6LZb2l6wWm1ec198Q5+1u2hy7KXlaDRCRRFffPoZaBw37txB5I6oE3TSZ28vY3G65CKr+NXPPsONm4eM53uEBtrVipN8y835VYxPOgkot2tGgU8YBTSdIUljAt+ja1qa1uFczWAdL50vWVcN3/nIQzz4lu+gyy843xQESqJDTRx45G0JAtbbkoPZiKHsicZTlHTc2BnhhZr7qy1l03J4eMjZ6ZI9z+f2eEpVtQR+BFiee+ElzlclCYJRlqKRXF5uOHZbHnGC3DrcsmQyCmjqjsVpji1bDg4nhMKhAoUwDqE8ysFyYxaTlwVxlvDAnX1u3ZixXKzRoUdelYRjn0FZIqkZjKHKc3AwGo1YnJ8TConrDYPniLAc7Y6JPEXfN/ihj7MD1vb4CGZejBf5jP2QwQ5s2p6gG2hpubW3z9AbhDR40pGXOaY3tNWazMvIhOPsoiHSHptyy3ScESQBUnvsJDexYYKSjsuz57h7fsLB/oRpkvCm+BZBU9NYx1m+QsY+Z5cL0nBEWVu+87seZVvVoH2qPKdsGwJPsblck5SSbBygR699qvGGFtLt2S4353PWTcsLJxdsC4NV8MXlOZ7TZOMJWlmKi5Lliwv2jx6grRxP/foxD79Nsl6W2LYmS0M6YUnTgMI4Aq3pTU9GxLpp8QVgepQXUdUlfTeQJgn78x3GxnBZlASbc2TfoZUgDMMrO83BYKKUdKpIAkHe9bhthew7Kgl53RMIx6ZVrDYt0/CcmQyQSkHvMM4gh5am7Smbkk509EawXOUcZAmzLGNwA31j2bieWRTgeyF2MIRRxG66hxM9m+3VnlckDAyW73jT0dV39pLjywveffNNrJZb/EDihAAV07mOTAY8f37JJAyvMhBZSVXmeJ7Gmg7hKXAOHfh0rWXA4QxUTUOpGjwnruxHjUWEIIaBIMiYT3x2cPSDQUpLECoaLLGKaNuei7JgFvnMAs2t8RE3RjNGWcinfv1patcTFobatfR+Q7vOCTzNziQj0iN8B4GxXKy3lG3PNAzZSRKKwWI9RRpK3vXog4i6JmgtXV8x8Xx85SG0ZDxKGScpm3zN0PavuS++oYUUjDLubU65Ge6wHQQ3pzus8xxrLZVvMIFmfHCTy698hXg6wciOB27cRg+SeRZT1QI57QmE5fkqJ8KjbiomMuDhm/sMdYdzljDO6OstWg0EnofWPt3Q4QVXHrTbsoYLh58GJFKzzrecti22Gai7miQJaVXIumwohpKGjvPLDZuuI+szxl7I6GCCHQZOz7c0WnI4SCZ7N7C2gpFP0pUgPPazCUhBXTXs747wtcI6R2CvTivnbkvkK7TSHB1krBYrdBCyrnuC2QTRNEg30Pc162qgLGo+86tfwQsUrfTou5aR1pghxHgRlbHMPYVyljgKMdZQWThpOpySHHkR1vas7YB0Hiu75cgmaOWjrEMJQWcHqn5glibkdc22rvECySiIaIeWbbtkUXfYmWZQHhvb0uYKH4+58jmcZDjp+MBj76BpWvLNhqIT1N1AFPkczsd8+eQejXH4XsTOZIJRI6IoedlhYsUsTYl2ZiRRiGc7theXHM1imrqn6w1SeaRJzKbaMrQb9kIfkXybjEhrIXnTwZsI1xvudi3b1YKbB/ucVxvunSx519EBo2zM3c4hypow1kgVoht4/tlzosBgheXF4zMSL+D2rQdZdwLrLDrOGNoV4zimq3P6rkMCvqcpbU/LQFe1VHVPFI1BRZytt4yyiNK2XBYliVJksY9wgk4pzi4r6lpyTzX0laUoa7y5IAuHq2NEvs/eXLKuHK322dYVQV/RW4O2mhuzGIRkvdniZymdkGzzhtnuiNA6Us8hHQy9ZW+UIJri5Q1PR9OWnJ1XeEHIYZDS9gIrEsYTj22dk4qYol7RN4Ym8tA0LFZb7hwccp4XxEKyylck4YSm7Wiqntx01LLDDAOR8IhETIfhhXLJjWCE8Axb03FJRWF6glrinKAtK+6e1Tx4NEFbAb1jHI0pupJFUeH5Ais1ZTcQy444y7jz6D6xuDJN+I2XJOQN1DU7kxicYBSELIYB4TsWRXH1ah5a5rdusTxO6DtDEET4gY8cHL6nsV2LEA6hBI0TRGiauqavB2YHe3T9t8mIxGpJoAIGHH/sxgH3tMeXL8+5v22ZjnYp7l6wLzz8pmOS7aBcwmrZ0qwrhLPk6wLXdtyI5vRDj3GOo/0Jy8tzOmORfkBLQ2glUahpB8v5xRn+KGUjr9J0TbKMrrdcXi5pQsmwLRnKgh0V4ryE3gia7YauGphmCXuHI6TwGR1Yzi5XKGuw9up1cOgsaZixcXB6ccp3PhAyGqc8d3JBHXpEPigpGY8DauPRNSWt7Xjp4pJEKm6mKZXwCQNwxlA2AzoKWa7XBKmmtobltmBoLVVRIf2QUhh6z0MHkrp3zGdjyroiC32G3rBcbJikARvXc7xasTtSXHk6WArRc75p0K5nJiPW4cBQtXRByU0zZt0MTJIA0Wpuzmf4g89muUYKSRxNoLecFznZNEYD+bbh7HJFNE4YaJhmM1wWUSioe8svfupXOV8vycZTXARRnPD06QltJ9kJw6v83V2IkwNGSLSUXDz1IpP5nNNig9ysoVIIeuq6oSpbnILKWtoB+jxnOgnY1j2BlrT1t4lj35efP6fKK2aJz8OHM9Idj2ATszfLeM/BIfeLc379y19hbHze8q5HWRlHsbk6kexpy1jAzv4RSZbSbhYoZ7DVlnc+NONkvWDVOG48vE99smS76RhPMhJvyjpfU1aWNgog6JkmASPhMxtNEY1h6Dzmo4ghjVCuZRU49qKAsm+o+5rAM1hnSMcJbhg4ykK2bUsUxghadkRNuJuyXSzwpwlbUyBsxmXfsNnUjCMP3UIQBjx/fEnqe8z3dolDj83lAheGpCOPQPm0WjHOUu63LZ0SFG3Njt8TR4pyu2UIfQbf41efepY//sfexW/cOyGoa/bCCXHic95U2MrywvKU6WTCRb1l3bcIwOkWXAyNx9oatqszNpsN6WSfzy4XvOfh26ih58XfeIEoq9BxSFcViChh4mmMCPi1J5/kgTu7PHTziPPVCjnStGrAU5JV27Joew5qy/3lgi9vNgyuY9IUjHSCXTfcSabkQcdFt0U6x7JuCYRgPDjO82fYne8yrNekWUy7XSNfzofu6wARQYOlXeVcbFdstUeW3KRpthwvFEVRvea++IYW0iOzHbzE4O1EfHZ1F2kcIg24sz/iN9aXrKiprGH/gQdY9I6Ts5dIxj4Ox+lv3OfNu2Miaai2aw5nY5brAmfh3llJZwVpPOHu2ZbEFwRpwLqoGYaeiIAWw1nZ0JiOJpKcnuWEmwLV90zDBCt81uWGTdOyWpUsxxFNM6AQHM58XO8x2BZPa86agXpwTL0GO1heWG+4uTtjdzfCWI/U+SyWl2xVC8ajWJS8/cEb7N+4QRL69IMl04owjNibTcirFueHNG1D11mskmyHhvNVwaZo8LVkojXzUcRz24YvP3ePKIh56aVjIiwH44ho7F890e+d89DNG0gvJG8hVrDvR+Su4+55hesafKeJZpqiLRnFu1Srlq3f89Td+9zan3FRO2Rbcn91QjyK8ETOdx7u0jSSw9sHlJXDOYlNNZ1QZFFIXA8oa1hVW5Ig4sUXX2KZF8xnMZkU6KLnxcuCJAkYhT5fOMvZ2oZRGBOrgFJa9m/sshgEYztw79nnuHE0Jy9fzodnC0Ijub/corDU2xZv7OGqBmUVX3n6mCyNXnNffEMLqWZgL5ny1HMXHCYJt2/uUtuWs65mlddE0R54G87O12yaHs8NdF1BkI3w5xAlEdLTjCNHO3RoZfGCFJRipAWbZs3puiFQ8Oh8F+kGVKwpup6DVLLdKBadoVY9OlQ0Q4+1Pecv3WO1ifDTFKkSiqrGyIFmcNzY2+WyKsmsh9EZ2lM8fXyPri6YjkPWmwojBeMiR1Qd0+mIsqzQvmJ9XvHut72FspEQRjx/dgZty1C3iN0pfm9Q0kfqgReXJ2yLhv0bR7Q6ZLVoiKcjQj+klI7eWpytKeOedBaT5yVN7XNrMmI8SjltOoq+o3OCjesohKFeXjBRHltn8QJFEieYyLKtt+ghpLnXc/uWhN7RthUL4RHrgFR5SOVzkBkaz9JWPU9d5jy4v0MURzjZMgwt28WWKgxoVyU7WYLKFJ7n4WxLEscYP0b1PZ4KWRcb5pOUc7NmZhLiIUDqq0O1pI7es2xeOqbpG/bnc27e3OGFfM1cezR9ztZUhOGU2TQh8Ty6QXC2WNDsw2Acs1EC8o94ptWvbgxv656uskjp0/twXub02qfuAopqwao9xTY9zuXIjYdnCm7NR3zXzg06L6Dtagxjiped4rwgIa8L8FvEoFnXPW3TIRw8bwtM0zOOPPAlTV7z0vEljegZPEkU+HSdIwskJo3ppKJc1SSJYugtAyHWOo7vb8lGIXt7e3RDxNn2krKvsWpgMdSEcYh2jvPWkiUe27ojjCOqtmcn22WxKmkHgR5FXKxzdD9wOI4oz3Jk2hNGil4IsiBi0zjO6pLzYk1RdxSbEmUlbjDEoxHd0IJvGO8qVOrDUFMKD5sbFsLi2oH5KCG/KFgfX+Kc4sJVZJ5H6F+5se/uzAg6R2vXvOmhOaYR7O5OSZVgPBszinyCQBAFEeebNc9vNnSmot60tKOWNIpozMCL5xsWq5Zg7lNaGNoCVTVIa7AzSagFdD3aEzRNS72pSLMRKsxY5znruKOsa0Kp0Z2jyAuS0ZRt3pKvX+B+fMksllxIx5gYMwhW4ZbY8+it43A3QWlJ2/XgLE56bKvqVf3td+L3FSH7reK5557j4Ycf/lZX45pvE+7evfuqKIevxRtyRPpqRO5LL73EeDz+FtfmDwdfjdG6e/fu7xoW/e3C77dNnHPkec7R0dHvWvYNKST58rvreDy+7jS/hdFodN0mv4XfT5u81gf1N5SO65prrvnaXAvpmmteB96QQgqCgH/5L//lNxwI+EeZ6zb57Xwz2+QNuWp3zTV/2HhDjkjXXPOHjWshXXPN68C1kK655nXgWkjXXPM68IYU0oc//GEefPBBwjDkPe95z29LOPlHiV/6pV/iL/yFv8DR0RFCCH7qp37qVdedc/yLf/EvODw8JIoi3ve+9/HMM8+8qsxyueSv//W/zmg0YjKZ8IM/+IMURfFNvIvXjz9s1kKv4N5g/MRP/ITzfd/9t//239yTTz7p/s7f+TtuMpm4s7Ozb3XV/kD42Mc+5v7pP/2n7n/+z//pAPfRj370Vdf/3b/7d248Hruf+qmfcr/2a7/m/uJf/Ivuzp07rq7rV8r82T/7Z913fud3ul/5lV9x//t//2/3pje9yX3/93//N/lOXh8+8IEPuI985CPui1/8ovv85z/v/vyf//Pu9u3briiKV8r88A//sLt165b7+Mc/7j7zmc+49773ve5P/sk/+cr1YRjc29/+dve+973Pfe5zn3Mf+9jH3Hw+d//4H//j33O93nBC+u7v/m73+OOPv/K/McYdHR25f/tv/+23sFbfHH6rkKy17uDgwP2H//AfXvlsvV67IAjc//gf/8M559yXvvQlB7j/9//+3ytlfvZnf9YJIdzx8fE3re5/UJyfnzvAffKTn3TOXd2/53nuJ3/yJ18p8+Uvf9kB7oknnnDOXT2cpJTu9PT0lTI/9mM/5kajkWvb9vdUjzfUq13XdXz2s599lW2MlJL3ve99PPHEE9/Cmn1reP755zk9PX1Ve4zHY97znve80h5PPPEEk8mEP/En/sQrZd73vvchpeTTn/70N73OrzffqLUQ8HWthbbbLU8++eTvqR5vKCFdXl5ijPmatjBfzxLmjzJfveffqT1OT09fybH+VbTWzGazN3ybfTOthX433pCnv6+5Br651kK/G2+oEWk+n6OU+m0rML/ZNubbia/e8+/UHgcHB5yfn7/q+jAMLJfLN3SbfdVa6Bd+4Re+rrXQb+a3tsnXarOvXvu98IYSku/7vOtd7+LjH//4K59Za/n4xz/+im3MtxN37tzh4ODgVe2x3W759Kc//SobnfV6zWc/+9lXynziE5/AWst73vOeb3qdf7845/jQhz7ERz/6UT7xiU/8jtZCX+VrWQt94QtfeNUD5vdqLfSbK/aG4id+4idcEATuv//3/+6+9KUvuR/6oR9yk8nkVSswf5TI89x97nOfc5/73Occ4P7jf/yP7nOf+5x78cUXnXNXy9+TycT99E//tPv1X/9195f+0l/6msvf73znO92nP/1p96lPfcq9+c1vfsMuf3/wgx904/HY/eIv/qI7OTl55a+qqlfK/PAP/7C7ffu2+8QnPuE+85nPuMcee8w99thjr1z/6vL3+9//fvf5z3/e/dzP/Zzb3d399lr+ds65//yf/7O7ffu2833fffd3f7f7lV/5lW91lf7A+IVf+AUH/La/H/iBH3DOXS2B//N//s/d/v6+C4LA/Zk/82fcU0899arvWCwW7vu///tdmqZuNBq5v/23/7bLVYxz7AAAAKlJREFU8/xbcDe/f75WWwDuIx/5yCtl6rp2f/fv/l03nU5dHMfur/yVv+JOTk5e9T0vvPCC+3N/7s+5KIrcfD53//Af/kPX9/3vuV7XYRTXXPM68IaaI11zzR9WroV0zTWvA9dCuuaa14FrIV1zzevAtZCuueZ14FpI11zzOnAtpGuueR24FtI117wOXAvpmmteB66FdM01rwPXQrrmmteBayFdc83rwP8fQAHLigJCA4oAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Loading all images seen by NSD subj01 in order of presentation (will take a minute)\")\n",
    "\n",
    "# load coco 73k indices for subj01\n",
    "hdf5_file = h5py.File(\"COCO_73k_subj_indices.hdf5\", \"r\")\n",
    "indices = hdf5_file[\"subj01\"][:] \n",
    "\n",
    "f = h5py.File(f'/weka/proj-medarc/shared/mindeyev2_dataset/coco_images_224_float16.hdf5', 'r')\n",
    "coco73k_images = f['images']\n",
    "nsd_images = np.stack([coco73k_images[idx] for idx in indices]) # this is slow because hdf5 files have strict indexing requirements \n",
    "nsd_images = nsd_images.astype(np.float32) # matplotlib doesnt like displaying float16 images\n",
    "print(\"nsd_images\", nsd_images.shape)\n",
    "\n",
    "plt.figure(figsize=(2,2))\n",
    "plt.imshow(np.transpose(nsd_images[0], (1, 2, 0)))\n",
    "plt.title(f\"Trial 0\")\n",
    "plt.show()\n",
    "plt.figure(figsize=(2,2))\n",
    "plt.imshow(np.transpose(nsd_images[1], (1, 2, 0)))\n",
    "plt.title(f\"Trial 1\")\n",
    "plt.show()\n",
    "plt.figure(figsize=(2,2))\n",
    "plt.imshow(np.transpose(nsd_images[2], (1, 2, 0)))\n",
    "plt.title(f\"Trial 2\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f85beb88-1a19-47c0-ba1f-23ab7f4a6de0",
   "metadata": {},
   "source": [
    "## Load GLMSingle voxel data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "598a041f-8410-445f-8b7f-5fcc4fce0712",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading concatenated nsdgeneral voxels from all betas_sessions for NSD subj01\n",
      "nsd_vox (30000, 15724)\n",
      "voxels have been zscored\n",
      "-9.177843670234628e-19 0.9999999979254887\n"
     ]
    }
   ],
   "source": [
    "print(\"Loading concatenated nsdgeneral voxels from all betas_sessions for NSD subj01\")\n",
    "\n",
    "try:\n",
    "    with h5py.File('nsd_voxels.hdf5', 'r') as file:\n",
    "        nsd_vox = file['subj01'][:] # (30000, 15724)\n",
    "    print(\"nsd_vox\", nsd_vox.shape)\n",
    "\n",
    "    # session-wise zscoring\n",
    "    for start_idx in range(0,len(nsd_vox),750):\n",
    "        end_idx = min(start_idx + 750, len(nsd_vox))\n",
    "        nsd_vox[start_idx:end_idx] = zscore(nsd_vox[start_idx:end_idx])\n",
    "\n",
    "    print(\"voxels have been zscored\")\n",
    "    print(nsd_vox[:,0].mean(), nsd_vox[:,0].std())\n",
    "except:\n",
    "    raise Exception(\"nsd_voxels.hdf5 not found!\\n Below code was used to create the file.\")\n",
    "    nsd_voxels = None\n",
    "    for session in tqdm(range(1,41)):\n",
    "        temp_nsd_vox = nib.load(f\"nsd_subj01/betas_session{session:02d}.nii.gz\").get_fdata()\n",
    "        temp_nsd_vox = np.moveaxis(temp_nsd_vox, (0,1,2,3), (1,2,3,0))\n",
    "        roi = nib.load(\"nsdgeneral.nii.gz\").get_fdata()\n",
    "        roi[roi!=1] = 0\n",
    "        temp_nsd_vox = temp_nsd_vox[:,roi.astype(bool)]\n",
    "        nsd_voxels = temp_nsd_vox if nsd_voxels is None else np.vstack((nsd_voxels, temp_nsd_vox))\n",
    "    print(\"nsd_voxels\", nsd_voxels.shape)\n",
    "    \n",
    "    with h5py.File('nsd_voxels.hdf5', 'w') as file:\n",
    "        file.create_dataset('subj01', data=nsd_voxels)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d354233-a87e-428e-b73a-f2b4b6ccb244",
   "metadata": {},
   "source": [
    "# Subset only the samples where images were seen by both sub-001 and NSD subj01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "954c9282-1627-4b79-9bc5-607cfb771157",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading only the NSD subj01 voxels/images for the images that were seen by our sub-001 (in same order)\n"
     ]
    }
   ],
   "source": [
    "print(\"Loading only the NSD subj01 voxels/images for the images that were seen by our sub-001 (in same order)\")\n",
    "\n",
    "comparison_vox = vox0.transpose(0,2,1) # (150, 2, 18419)\n",
    "comparison_images = images[pairs[:,0]] # torch.Size([150, 3, 224, 224])\n",
    "\n",
    "try:\n",
    "    nsd_comparison_vox = np.load(f\"{sub}_nsd_comparison_vox.npy\")\n",
    "    nsd_comparison_images = np.load(f\"{sub}_nsd_comparison_images.npy\")\n",
    "except:\n",
    "    raise Exception(\"Files not found!\\n Below code was used to create the files.\")\n",
    "\n",
    "    nsd_comparison_vox = np.zeros((len(comparison_images), 2, nsd_vox.shape[-1]))\n",
    "    nsd_comparison_images = np.zeros_like(comparison_images)\n",
    "    \n",
    "    shared_cnt = 0\n",
    "    unshared_cnt = 0\n",
    "    no2ndk = 0\n",
    "    shared_occurrences = {}\n",
    "    for ours_i in tqdm(range(len(comparison_images))):\n",
    "        kk = 0\n",
    "        for nsd_i in range(len(nsd_images)):        \n",
    "            if torch.sum(torch.abs(comparison_images[ours_i] - nsd_images[nsd_i])) < 2500:\n",
    "                if kk==0:\n",
    "                    shared_cnt += 1\n",
    "                nsd_comparison_vox[ours_i,kk] = nsd_vox[nsd_i]\n",
    "                nsd_comparison_images[ours_i] = comparison_images[ours_i]\n",
    "                kk += 1\n",
    "                if kk > 1:\n",
    "                    break\n",
    "            if nsd_i==len(nsd_images)-1:\n",
    "                unshared_cnt += 1\n",
    "                if kk==1:\n",
    "                    no2ndk += 1\n",
    "    \n",
    "    print(\"shared_cnt\", shared_cnt)\n",
    "    print(\"unshared_cnt\", unshared_cnt)\n",
    "    print(\"no2ndk\", no2ndk)\n",
    "    \n",
    "    np.save(f\"{sub}_nsd_comparison_vox.npy\", nsd_comparison_vox) # (150, 2, 15724)\n",
    "    np.save(f\"{sub}_nsd_comparison_images.npy\", nsd_comparison_images) # (150, 3, 224, 224)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5fa54e09-0830-471e-8364-e9a2af5a4047",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# checking that comparison_images is identical to nsd_comparison_images\n",
    "plt.figure(figsize=(2,2))\n",
    "plt.imshow(np.transpose(comparison_images[0].numpy(), (1, 2, 0)))\n",
    "plt.title(f\"Trial 0\")\n",
    "plt.show()\n",
    "plt.figure(figsize=(2,2))\n",
    "plt.imshow(np.transpose(nsd_comparison_images[0], (1, 2, 0)))\n",
    "plt.title(f\"Trial 0\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79804942-a58b-457b-9fc9-eb9628384f75",
   "metadata": {},
   "source": [
    "## Reliability calculation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57ef183d-d707-4cd9-9260-130a77acb4f9",
   "metadata": {},
   "source": [
    "### Calculate reliability (corr between first and second presentation of same image) for every voxel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4c21a67b-f6df-4db2-b691-9c0935e8210d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████| 15724/15724 [00:00<00:00, 22141.35it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nsd_rels (15724,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "nsd_rels = np.full(nsd_comparison_vox.shape[-1],np.nan)\n",
    "for v in tqdm(range(nsd_comparison_vox.shape[-1])):\n",
    "    nsd_rels[v] = np.corrcoef(nsd_comparison_vox[:,0,v], \n",
    "                              nsd_comparison_vox[:,1,v])[1,0]\n",
    "print(\"nsd_rels\", nsd_rels.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a918495-0f73-4606-b135-8c601004ecc2",
   "metadata": {},
   "source": [
    "### Create representational similarity matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0fcd3c21-8d45-4384-8709-c28ccd0869b9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "reliability threshold = 0.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████| 150/150 [00:04<00:00, 30.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "reliability threshold = 0.1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████| 150/150 [00:04<00:00, 37.16it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "reliability threshold = 0.2\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████| 150/150 [00:03<00:00, 46.70it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "reliability threshold = 0.3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████| 150/150 [00:02<00:00, 56.41it/s]\n"
     ]
    }
   ],
   "source": [
    "nsd_vox_avg = nsd_comparison_vox.mean(1)\n",
    "\n",
    "# Masking RDM for each reliability threshold\n",
    "r_thresholds = np.array([.0, .1, .2, .3])\n",
    "nsd_rdm = np.zeros((len(r_thresholds), len(pairs), len(pairs))) \n",
    "for ir_thresh, r_thresh in enumerate(r_thresholds):\n",
    "    print(f\"reliability threshold = {r_thresh}\")\n",
    "    for i in tqdm(range(len(pairs))):\n",
    "        for j in range(len(pairs)):\n",
    "            nsd_rdm[ir_thresh,i,j] = np.corrcoef(nsd_vox_avg[i,nsd_rels>r_thresh], \n",
    "                                             nsd_vox_avg[j,nsd_rels>r_thresh])[0,1]\n",
    "# nsd_rdm is shape (4, 150, 150)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "698f8cca-5614-4543-8f76-8e0ec9d8607e",
   "metadata": {},
   "source": [
    "# Visualize RDMs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5dbbb1e1-7ed9-43a9-b482-b1005bbaf6c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.01523119 0.01126541 0.00660391 0.00592912]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 125x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "reliability_threshold_to_visualize = .2\n",
    "\n",
    "plt.figure(figsize=(4,4))\n",
    "plt.imshow(rdm[np.where(r_thresholds==reliability_threshold_to_visualize)[0].item()], clim=(-.2,.2))\n",
    "plt.colorbar(shrink=0.8)\n",
    "plt.title(f\"sub-001\\nreliability threshold={reliability_threshold_to_visualize}\\n\")\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(4,4))\n",
    "plt.imshow(nsd_rdm[np.where(r_thresholds==reliability_threshold_to_visualize)[0].item()], clim=(-.2,.2))\n",
    "plt.colorbar(shrink=0.8)\n",
    "plt.title(f\"NSD subj01\\nreliability threshold={reliability_threshold_to_visualize}\")\n",
    "plt.show()\n",
    "\n",
    "intersubject_corrs = np.zeros((len(r_thresholds)))\n",
    "for ir_thresh, r_thresh in enumerate(r_thresholds):\n",
    "    lower_triangle_indices = np.tril_indices(150, k=-1) # excludes diagonal\n",
    "    tril_ours = rdm[ir_thresh][lower_triangle_indices]\n",
    "    tril_nsd = nsd_rdm[ir_thresh][lower_triangle_indices]\n",
    "    \n",
    "    intersubject_corrs[ir_thresh] = np.corrcoef((tril_ours, tril_nsd))[0,1]\n",
    "\n",
    "print(intersubject_corrs)\n",
    "plt.figure(figsize=(1.25,2.5))\n",
    "plt.scatter(r_thresholds,intersubject_corrs, s=10)\n",
    "plt.ylabel(\"Pearson correlation\", fontsize=9)\n",
    "plt.ylim(-0.005,.7)\n",
    "plt.xlabel(\"Reliability\\nthreshold\", fontsize=9)\n",
    "plt.xticks(r_thresholds)\n",
    "plt.title(\"Intersubject pairwise\\ndissimilarity correlation\", fontsize=10)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8866ce2-1cf2-459e-aa81-dec26a3dcd33",
   "metadata": {},
   "source": [
    "# Training MindEye"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d691f843-3f0b-447b-a907-fd640d412964",
   "metadata": {},
   "outputs": [],
   "source": [
    "# # train on NSD\n",
    "# images = np.vstack((nsd_comparison_images, nsd_comparison_images))\n",
    "# vox = np.vstack((nsd_comparison_vox[:,0,:], nsd_comparison_vox[:,1,:]))\n",
    "\n",
    "# # train on Princeton\n",
    "# images = np.vstack((comparison_images, comparison_images))\n",
    "# vox = np.vstack((vox0[:,:,0], vox0[:,:,1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "248ce3a0-f03b-4c97-aee1-920432664ae1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reliability thresholding?\n",
    "vox = vox[:,rels>.2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "b80aeb2d-6d53-431c-90ed-658dca7ecebd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([1000, 3, 224, 224])\n",
      "torch.Size([1000, 3474])\n"
     ]
    }
   ],
   "source": [
    "print(images.shape)\n",
    "print(vox.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "11748b06-ec4f-4651-bcef-068071c86ff5",
   "metadata": {},
   "outputs": [],
   "source": [
    "images = torch.Tensor(images)\n",
    "vox = torch.Tensor(vox)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "8f554db1-f7cd-40d2-ab62-5d1e282c2bc8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "700 150\n"
     ]
    }
   ],
   "source": [
    "utils.seed_everything(0)\n",
    "\n",
    "# train = all images except images that were repeated\n",
    "# test = average of the same-image presentations\n",
    "imageTrain = np.arange(len(images))\n",
    "train_image_indices = np.array([item for item in imageTrain if item not in pairs.flatten()])\n",
    "test_image_indices = pairs\n",
    "print(len(train_image_indices), len(test_image_indices))\n",
    "\n",
    "# # train = all images except images that were repeated + the first presentation of the images that were repeated\n",
    "# # test = the second presentation of the images that were repeated\n",
    "# # this is not ideal, model may only do well because the train and test set both contain same images\n",
    "# imageTrain = np.arange(len(images))\n",
    "# train_image_indices = np.array([item for item in imageTrain if item not in pairs[:,1]])\n",
    "# test_image_indices = pairs[:,1]\n",
    "# print(len(train_image_indices), len(test_image_indices))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "cc5d2e32-6027-4a19-bef4-5ca068db35bb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LOCAL RANK  0\n"
     ]
    }
   ],
   "source": [
    "### Multi-GPU config ###\n",
    "from accelerate import Accelerator, DeepSpeedPlugin\n",
    "\n",
    "local_rank = os.getenv('RANK')\n",
    "if local_rank is None: \n",
    "    local_rank = 0\n",
    "else:\n",
    "    local_rank = int(local_rank)\n",
    "print(\"LOCAL RANK \", local_rank)  \n",
    "\n",
    "data_type = torch.float32 # change depending on your mixed_precision\n",
    "\n",
    "accelerator = Accelerator(split_batches=False)# mixed_precision=\"fp16\") # ['no', 'fp8', 'fp16', 'bf16']\n",
    "batch_size = 8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "b767ab6f-d4a9-47a5-b3bf-f56bf6760c0c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PID of this process = 2166183\n",
      "device: cuda\n",
      "global_batch_size 8\n",
      "Distributed environment: DistributedType.NO\n",
      "Num processes: 1\n",
      "Process index: 0\n",
      "Local process index: 0\n",
      "Device: cuda\n",
      "\n",
      "Mixed precision type: no\n",
      "\n",
      "distributed = False num_devices = 1 local rank = 0 world size = 1 data_type = torch.float32\n"
     ]
    }
   ],
   "source": [
    "print(\"PID of this process =\",os.getpid())\n",
    "device = accelerator.device\n",
    "print(\"device:\",device)\n",
    "world_size = accelerator.state.num_processes\n",
    "distributed = not accelerator.state.distributed_type == 'NO'\n",
    "num_devices = torch.cuda.device_count()\n",
    "global_batch_size = batch_size * num_devices\n",
    "print(\"global_batch_size\", global_batch_size)\n",
    "if num_devices==0 or not distributed: num_devices = 1\n",
    "num_workers = num_devices\n",
    "print(accelerator.state)\n",
    "\n",
    "# set data_type to match your mixed precision (automatically set based on deepspeed config)\n",
    "if accelerator.mixed_precision == \"bf16\":\n",
    "    data_type = torch.bfloat16\n",
    "elif accelerator.mixed_precision == \"fp16\":\n",
    "    data_type = torch.float16\n",
    "else:\n",
    "    data_type = torch.float32\n",
    "\n",
    "print(\"distributed =\",distributed, \"num_devices =\", num_devices, \"local rank =\", local_rank, \"world size =\", world_size, \"data_type =\", data_type)\n",
    "print = accelerator.print # only print if local_rank=0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9018b82b-c054-4463-9527-4b0c2a75bda6",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Configurations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "2b61fec7-72a0-4b67-86da-1375f1d9fbd3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "model_name: testing\n",
      "--data_path=/weka/proj-fmri/shared/mindeyev2_dataset                     --model_name=testing                     --no-multi_subject --subj=1 --batch_size=8                     --hidden_dim=1024 --clip_scale=1.                     --no-blurry_recon --blur_scale=.5                     --no-use_prior --prior_scale=30 --no-visualize_prior                     --n_blocks=4 --max_lr=3e-4 --mixup_pct=.33 --num_epochs=30 --no-use_image_aug                     --ckpt_interval=999 --no-ckpt_saving --no-wandb_log --new_test\n",
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "# if running this interactively, can specify jupyter_args here for argparser to use\n",
    "if utils.is_interactive():\n",
    "    model_name = \"testing\"\n",
    "    print(\"model_name:\", model_name)\n",
    "    \n",
    "    # global_batch_size and batch_size should already be defined in the above cells\n",
    "    # other variables can be specified in the following string:\n",
    "    jupyter_args = f\"--data_path=/weka/proj-fmri/shared/mindeyev2_dataset \\\n",
    "                    --model_name={model_name} \\\n",
    "                    --no-multi_subject --subj=1 --batch_size={batch_size} \\\n",
    "                    --hidden_dim=1024 --clip_scale=1. \\\n",
    "                    --no-blurry_recon --blur_scale=.5 \\\n",
    "                    --no-use_prior --prior_scale=30 --no-visualize_prior \\\n",
    "                    --n_blocks=4 --max_lr=3e-4 --mixup_pct=.33 --num_epochs=30 --no-use_image_aug \\\n",
    "                    --ckpt_interval=999 --no-ckpt_saving --no-wandb_log --new_test\"# \\\n",
    "                    #--multisubject_ckpt=../../train_logs/final_subj01_pretrained_40sess_24bs\"\n",
    "    print(jupyter_args)\n",
    "    jupyter_args = jupyter_args.split()\n",
    "    \n",
    "    from IPython.display import clear_output # function to clear print outputs in cell\n",
    "    %load_ext autoreload \n",
    "    # this allows you to change functions in models.py or utils.py and have this notebook automatically update with your revisions\n",
    "    %autoreload 2 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "2028bdf0-2f41-46d9-b6e7-86b870dbf16c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "subj_list [1] num_sessions 0\n"
     ]
    }
   ],
   "source": [
    "parser = argparse.ArgumentParser(description=\"Model Training Configuration\")\n",
    "parser.add_argument(\n",
    "    \"--model_name\", type=str, default=\"testing\",\n",
    "    help=\"name of model, used for ckpt saving and wandb logging (if enabled)\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--data_path\", type=str, default=\"/weka/proj-fmri/shared/natural-scenes-dataset\",\n",
    "    help=\"Path to where NSD data is stored / where to download it to\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--subj\",type=int, default=1, choices=[1,2,3,4,5,6,7,8],\n",
    "    help=\"Validate on which subject?\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--multisubject_ckpt\", type=str, default=None,\n",
    "    help=\"Path to pre-trained multisubject model to finetune a single subject from. multisubject must be False.\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--num_sessions\", type=int, default=0,\n",
    "    help=\"Number of training sessions to include (if multi_subject, this variable doesnt matter)\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--use_prior\",action=argparse.BooleanOptionalAction,default=False,\n",
    "    help=\"whether to train diffusion prior (True) or just rely on retrieval part of the pipeline (False)\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--visualize_prior\",action=argparse.BooleanOptionalAction,default=False,\n",
    "    help=\"output visualizations from unCLIP every ckpt_interval (requires more memory!)\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--batch_size\", type=int, default=32,\n",
    "    help=\"Batch size can be increased by 10x if only training v2c and not diffusion diffuser\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--wandb_log\",action=argparse.BooleanOptionalAction,default=False,\n",
    "    help=\"whether to log to wandb\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--resume_from_ckpt\",action=argparse.BooleanOptionalAction,default=False,\n",
    "    help=\"if not using wandb and want to resume from a ckpt\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--wandb_project\",type=str,default=\"stability\",\n",
    "    help=\"wandb project name\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--mixup_pct\",type=float,default=.33,\n",
    "    help=\"proportion of way through training when to switch from BiMixCo to SoftCLIP\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--low_mem\",action=argparse.BooleanOptionalAction,default=False,\n",
    "    help=\"whether to preload images to cpu to speed things up but consume more memory\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--blurry_recon\",action=argparse.BooleanOptionalAction,default=True,\n",
    "    help=\"whether to output blurry reconstructions\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--blur_scale\",type=float,default=.5,\n",
    "    help=\"multiply loss from blurry recons by this number\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--clip_scale\",type=float,default=1.,\n",
    "    help=\"multiply contrastive loss by this number\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--prior_scale\",type=float,default=30,\n",
    "    help=\"multiply diffusion prior loss by this\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--use_image_aug\",action=argparse.BooleanOptionalAction,default=True,\n",
    "    help=\"whether to use image augmentation\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--num_epochs\",type=int,default=120,\n",
    "    help=\"number of epochs of training\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--multi_subject\",action=argparse.BooleanOptionalAction,default=False,\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--new_test\",action=argparse.BooleanOptionalAction,default=True,\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--n_blocks\",type=int,default=2,\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--hidden_dim\",type=int,default=1024,\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--seq_past\",type=int,default=0,\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--seq_future\",type=int,default=0,\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--lr_scheduler_type\",type=str,default='cycle',choices=['cycle','linear'],\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--ckpt_saving\",action=argparse.BooleanOptionalAction,default=True,\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--ckpt_interval\",type=int,default=5,\n",
    "    help=\"save backup ckpt and reconstruct every x epochs\",\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--seed\",type=int,default=42,\n",
    ")\n",
    "parser.add_argument(\n",
    "    \"--max_lr\",type=float,default=3e-4,\n",
    ")\n",
    "\n",
    "if utils.is_interactive():\n",
    "    args = parser.parse_args(jupyter_args)\n",
    "else:\n",
    "    args = parser.parse_args()\n",
    "\n",
    "# create global variables without the args prefix\n",
    "for attribute_name in vars(args).keys():\n",
    "    globals()[attribute_name] = getattr(args, attribute_name)\n",
    "    \n",
    "# seed all random functions\n",
    "utils.seed_everything(seed)\n",
    "\n",
    "outdir = os.path.abspath(f'../../train_logs/{model_name}')\n",
    "if not os.path.exists(outdir) and ckpt_saving:\n",
    "    os.makedirs(outdir,exist_ok=True)\n",
    "    \n",
    "if use_image_aug or blurry_recon:\n",
    "    import kornia\n",
    "    import kornia.augmentation as K\n",
    "    from kornia.augmentation.container import AugmentationSequential\n",
    "if use_image_aug:\n",
    "    img_augment = AugmentationSequential(\n",
    "        kornia.augmentation.ColorJitter(brightness=0.4, contrast=0.4, saturation=0.4, hue=0.1, p=0.3),\n",
    "        same_on_batch=False,\n",
    "        data_keys=[\"input\"],\n",
    "    )\n",
    "    # Define the blurring augmentations\n",
    "    blur_augment = K.RandomGaussianBlur(kernel_size=(21, 21), sigma=(51.0, 51.0), p=1.)\n",
    "    \n",
    "if multi_subject:\n",
    "    subj_list = np.arange(1,9)\n",
    "    subj_list = subj_list[subj_list != subj]\n",
    "else:\n",
    "    subj_list = [subj]\n",
    "\n",
    "print(\"subj_list\", subj_list, \"num_sessions\", num_sessions)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42d13c25-1369-4c49-81d4-83d713586096",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Prep data, models, and dataloaders"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c023f24-5233-4a15-a2f5-78487b3a8546",
   "metadata": {},
   "source": [
    "### Creating wds dataloader, preload betas and all 73k possible images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "aefe7c27-ab39-4b2c-90f4-480f4087b7ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dividing batch size by subj_list, which will then be concatenated across subj during training...\n",
      "batch_size = 8 num_iterations_per_epoch = 87 num_samples_per_epoch = 700\n"
     ]
    }
   ],
   "source": [
    "def my_split_by_node(urls): return urls\n",
    "num_voxels_list = []\n",
    "\n",
    "if multi_subject:\n",
    "    nsessions_allsubj=np.array([40, 40, 32, 30, 40, 32, 40, 30])\n",
    "    num_samples_per_epoch = (750*40) // num_devices \n",
    "else:\n",
    "    # num_samples_per_epoch = (750*num_sessions) // num_devices \n",
    "    num_samples_per_epoch = len(train_image_indices)\n",
    "\n",
    "print(\"dividing batch size by subj_list, which will then be concatenated across subj during training...\") \n",
    "batch_size = batch_size // len(subj_list)\n",
    "\n",
    "num_iterations_per_epoch = num_samples_per_epoch // (batch_size*len(subj_list))\n",
    "\n",
    "print(\"batch_size =\", batch_size, \"num_iterations_per_epoch =\",num_iterations_per_epoch, \"num_samples_per_epoch =\",num_samples_per_epoch)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "61ecc4e8-466c-43dd-8c43-2e7613d130bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data = {}\n",
    "train_dl = {}\n",
    "\n",
    "train_data[f'subj0{subj}'] = torch.utils.data.TensorDataset(torch.tensor(train_image_indices))\n",
    "\n",
    "test_data = torch.utils.data.TensorDataset(torch.tensor(test_image_indices))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "81084834-035f-4465-ad59-59e6b806a2f5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training with 0 sessions\n",
      "num_voxels for subj01: 3474\n",
      "Loaded all subj train dls and vox!\n",
      "\n",
      "Loaded test dl for subj1!\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num_voxels = {}\n",
    "voxels = {}\n",
    "for s in subj_list:\n",
    "    print(f\"Training with {num_sessions} sessions\")\n",
    "    train_dl = torch.utils.data.DataLoader(train_data[f'subj0{s}'], batch_size=batch_size, shuffle=True, drop_last=True, pin_memory=True)\n",
    "\n",
    "    num_voxels_list.append(vox[0].shape[-1])\n",
    "    num_voxels[f'subj0{s}'] = vox[0].shape[-1]\n",
    "    voxels[f'subj0{s}'] = vox\n",
    "    print(f\"num_voxels for subj0{s}: {num_voxels[f'subj0{s}']}\")\n",
    "\n",
    "print(\"Loaded all subj train dls and vox!\\n\")\n",
    "\n",
    "# Validate only on one subject\n",
    "if multi_subject: \n",
    "    subj = subj_list[0] # cant validate on the actual held out person so picking first in subj_list\n",
    "test_dl = torch.utils.data.DataLoader(test_data, batch_size=24, shuffle=False, drop_last=True, pin_memory=True)\n",
    "\n",
    "print(f\"Loaded test dl for subj{subj}!\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10ec4517-dbdf-4ece-98f6-4714d5de4e15",
   "metadata": {},
   "source": [
    "## Load models"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48d6160e-1ee8-4da7-a755-9dbb452a6fa5",
   "metadata": {},
   "source": [
    "### CLIP image embeddings  model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "b0420dc0-199e-4c1a-857d-b1747058b467",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FrozenOpenCLIPImageEmbedder(\n",
      "  (model): CLIP(\n",
      "    (visual): VisionTransformer(\n",
      "      (conv1): Conv2d(3, 1664, kernel_size=(14, 14), stride=(14, 14), bias=False)\n",
      "      (patch_dropout): Identity()\n",
      "      (ln_pre): LayerNorm((1664,), eps=1e-05, elementwise_affine=True)\n",
      "      (transformer): Transformer(\n",
      "        (resblocks): ModuleList(\n",
      "          (0-47): 48 x ResidualAttentionBlock(\n",
      "            (ln_1): LayerNorm((1664,), eps=1e-05, elementwise_affine=True)\n",
      "            (attn): MultiheadAttention(\n",
      "              (out_proj): NonDynamicallyQuantizableLinear(in_features=1664, out_features=1664, bias=True)\n",
      "            )\n",
      "            (ls_1): Identity()\n",
      "            (ln_2): LayerNorm((1664,), eps=1e-05, elementwise_affine=True)\n",
      "            (mlp): Sequential(\n",
      "              (c_fc): Linear(in_features=1664, out_features=8192, bias=True)\n",
      "              (gelu): GELU(approximate='none')\n",
      "              (c_proj): Linear(in_features=8192, out_features=1664, bias=True)\n",
      "            )\n",
      "            (ls_2): Identity()\n",
      "          )\n",
      "        )\n",
      "      )\n",
      "      (ln_post): LayerNorm((1664,), eps=1e-05, elementwise_affine=True)\n",
      "    )\n",
      "    (token_embedding): Embedding(49408, 1280)\n",
      "    (ln_final): LayerNorm((1280,), eps=1e-05, elementwise_affine=True)\n",
      "  )\n",
      ")\n"
     ]
    }
   ],
   "source": [
    "## USING OpenCLIP ViT-bigG ###\n",
    "sys.path.append('generative_models/')\n",
    "import sgm\n",
    "from generative_models.sgm.modules.encoders.modules import FrozenOpenCLIPImageEmbedder\n",
    "# from generative_models.sgm.models.diffusion import DiffusionEngine\n",
    "# from omegaconf import OmegaConf\n",
    "\n",
    "try:\n",
    "    print(clip_img_embedder)\n",
    "except:\n",
    "    clip_img_embedder = FrozenOpenCLIPImageEmbedder(\n",
    "        arch=\"ViT-bigG-14\",\n",
    "        version=\"laion2b_s39b_b160k\",\n",
    "        output_tokens=True,\n",
    "        only_tokens=True,\n",
    "    )\n",
    "    clip_img_embedder.to(device)\n",
    "clip_seq_dim = 256\n",
    "clip_emb_dim = 1664\n",
    "\n",
    "# ## USING OPEN AI CLIP ViT-L ###\n",
    "# import clip\n",
    "# try:\n",
    "#     print(clip_model)\n",
    "# except:\n",
    "#     clip_model, preprocess = clip.load(\"ViT-L/14\", device=device)\n",
    "#     preprocess = transforms.Compose([\n",
    "#         transforms.Resize(224, interpolation=transforms.InterpolationMode.BILINEAR),\n",
    "#         transforms.Normalize(mean=[0.48145466, 0.4578275, 0.40821073],\n",
    "#                              std=[0.26862954, 0.26130258, 0.27577711]),\n",
    "#     ])\n",
    "# def clip_img_embedder(image):\n",
    "#     preproc_img = preprocess(image)\n",
    "#     return clip_model.encode_image(preproc_img)\n",
    "# clip_seq_dim = 1\n",
    "# clip_emb_dim = 768"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "260e5e4a-f697-4b2c-88fc-01f6a54886c0",
   "metadata": {},
   "source": [
    "### MindEye modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "c44c271b-173f-472e-b059-a2eda0f4c4c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MindEyeModule()"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class MindEyeModule(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(MindEyeModule, self).__init__()\n",
    "    def forward(self, x):\n",
    "        return x\n",
    "        \n",
    "model = MindEyeModule()\n",
    "model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "038a5d61-4769-40b9-a004-f4e7b5b38bb0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "param counts:\n",
      "3,558,400 total\n",
      "3,558,400 trainable\n",
      "param counts:\n",
      "3,558,400 total\n",
      "3,558,400 trainable\n",
      "torch.Size([2, 1, 3474]) torch.Size([2, 1, 1024])\n"
     ]
    }
   ],
   "source": [
    "class RidgeRegression(torch.nn.Module):\n",
    "    # make sure to add weight_decay when initializing optimizer\n",
    "    def __init__(self, input_sizes, out_features, seq_len=1): \n",
    "        super(RidgeRegression, self).__init__()\n",
    "        self.seq_len = seq_len\n",
    "        self.out_features = out_features\n",
    "        self.linears = torch.nn.ModuleList([\n",
    "                torch.nn.Linear(input_size, out_features) for input_size in input_sizes\n",
    "            ])\n",
    "    def forward(self, x, subj_idx=0):\n",
    "        out = torch.cat([self.linears[subj_idx](x[:,seq]).unsqueeze(1) for seq in range(self.seq_len)], dim=1)\n",
    "        return out\n",
    "        \n",
    "model.ridge = RidgeRegression(num_voxels_list, out_features=hidden_dim)\n",
    "utils.count_params(model.ridge)\n",
    "utils.count_params(model)\n",
    "\n",
    "# test on subject 1 with fake data\n",
    "b = torch.randn((2,1,num_voxels_list[0]))\n",
    "print(b.shape, model.ridge(b,0).shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "7b8de65a-6d3b-4248-bea9-9b6f4d562321",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "param counts:\n",
      "453,360,280 total\n",
      "453,360,280 trainable\n",
      "param counts:\n",
      "456,918,680 total\n",
      "456,918,680 trainable\n",
      "b.shape torch.Size([2, 1, 1024])\n",
      "torch.Size([2, 256, 1664]) torch.Size([2, 256, 1664]) torch.Size([1]) torch.Size([1])\n"
     ]
    }
   ],
   "source": [
    "from functools import partial\n",
    "from diffusers.models.vae import Decoder\n",
    "class BrainNetwork(nn.Module):\n",
    "    def __init__(self, h=4096, in_dim=15724, out_dim=768, seq_len=1, n_blocks=n_blocks, drop=.15, \n",
    "                 clip_size=768):\n",
    "        super().__init__()\n",
    "        self.seq_len = seq_len\n",
    "        self.h = h\n",
    "        self.clip_size = clip_size\n",
    "        \n",
    "        self.mixer_blocks1 = nn.ModuleList([\n",
    "            self.mixer_block1(h, drop) for _ in range(n_blocks)\n",
    "        ])\n",
    "        self.mixer_blocks2 = nn.ModuleList([\n",
    "            self.mixer_block2(seq_len, drop) for _ in range(n_blocks)\n",
    "        ])\n",
    "        \n",
    "        # Output linear layer\n",
    "        self.backbone_linear = nn.Linear(h * seq_len, out_dim, bias=True) \n",
    "        if clip_scale>0:\n",
    "            self.clip_proj = self.projector(clip_size, clip_size, h=clip_size)\n",
    "            \n",
    "    def projector(self, in_dim, out_dim, h=2048):\n",
    "        return nn.Sequential(\n",
    "            nn.LayerNorm(in_dim),\n",
    "            nn.GELU(),\n",
    "            nn.Linear(in_dim, h),\n",
    "            nn.LayerNorm(h),\n",
    "            nn.GELU(),\n",
    "            nn.Linear(h, h),\n",
    "            nn.LayerNorm(h),\n",
    "            nn.GELU(),\n",
    "            nn.Linear(h, out_dim)\n",
    "        )\n",
    "    \n",
    "    def mlp(self, in_dim, out_dim, drop):\n",
    "        return nn.Sequential(\n",
    "            nn.Linear(in_dim, out_dim),\n",
    "            nn.GELU(),\n",
    "            nn.Dropout(drop),\n",
    "            nn.Linear(out_dim, out_dim),\n",
    "        )\n",
    "    \n",
    "    def mixer_block1(self, h, drop):\n",
    "        return nn.Sequential(\n",
    "            nn.LayerNorm(h),\n",
    "            self.mlp(h, h, drop),  # Token mixing\n",
    "        )\n",
    "\n",
    "    def mixer_block2(self, seq_len, drop):\n",
    "        return nn.Sequential(\n",
    "            nn.LayerNorm(seq_len),\n",
    "            self.mlp(seq_len, seq_len, drop)  # Channel mixing\n",
    "        )\n",
    "        \n",
    "    def forward(self, x):\n",
    "        # make empty tensors\n",
    "        c,b = torch.Tensor([0.]), torch.Tensor([[0.],[0.]])\n",
    "        \n",
    "        # Mixer blocks\n",
    "        residual1 = x\n",
    "        residual2 = x.permute(0,2,1)\n",
    "        for block1, block2 in zip(self.mixer_blocks1,self.mixer_blocks2):\n",
    "            x = block1(x) + residual1\n",
    "            residual1 = x\n",
    "            x = x.permute(0,2,1)\n",
    "            \n",
    "            x = block2(x) + residual2\n",
    "            residual2 = x\n",
    "            x = x.permute(0,2,1)\n",
    "            \n",
    "        x = x.reshape(x.size(0), -1)\n",
    "        backbone = self.backbone_linear(x).reshape(len(x), -1, self.clip_size)\n",
    "        if clip_scale>0:\n",
    "            c = self.clip_proj(backbone)\n",
    "        \n",
    "        return backbone, c, b\n",
    "\n",
    "model.backbone = BrainNetwork(h=hidden_dim, in_dim=hidden_dim, seq_len=1, \n",
    "                          clip_size=clip_emb_dim, out_dim=clip_emb_dim*clip_seq_dim)\n",
    "utils.count_params(model.backbone)\n",
    "utils.count_params(model)\n",
    "\n",
    "# test that the model works on some fake data\n",
    "b = torch.randn((2,1,hidden_dim))\n",
    "print(\"b.shape\",b.shape)\n",
    "\n",
    "backbone_, clip_, blur_ = model.backbone(b)\n",
    "print(backbone_.shape, clip_.shape, blur_[0].shape, blur_[1].shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b397c0d7-52a3-4153-823b-c27d2eb3eeba",
   "metadata": {},
   "source": [
    "### Adding diffusion prior + unCLIP if use_prior=True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "69965344-9346-4592-9cc5-e537e31d5fce",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "if use_prior:\n",
    "    from models import *\n",
    "\n",
    "    # setup diffusion prior network\n",
    "    out_dim = clip_emb_dim\n",
    "    depth = 6\n",
    "    dim_head = 52\n",
    "    heads = clip_emb_dim//52 # heads * dim_head = clip_emb_dim\n",
    "    timesteps = 100\n",
    "\n",
    "    prior_network = VersatileDiffusionPriorNetwork(\n",
    "            dim=out_dim,\n",
    "            depth=depth,\n",
    "            dim_head=dim_head,\n",
    "            heads=heads,\n",
    "            causal=False,\n",
    "            num_tokens = clip_seq_dim,\n",
    "            learned_query_mode=\"pos_emb\"\n",
    "        )\n",
    "\n",
    "    model.diffusion_prior = BrainDiffusionPrior(\n",
    "        net=prior_network,\n",
    "        image_embed_dim=out_dim,\n",
    "        condition_on_text_encodings=False,\n",
    "        timesteps=timesteps,\n",
    "        cond_drop_prob=0.2,\n",
    "        image_embed_scale=None,\n",
    "    )\n",
    "    \n",
    "    utils.count_params(model.diffusion_prior)\n",
    "    utils.count_params(model)\n",
    "    \n",
    "    # prep unCLIP\n",
    "    if visualize_prior:\n",
    "        config = OmegaConf.load(\"generative_models/configs/unclip6.yaml\")\n",
    "        config = OmegaConf.to_container(config, resolve=True)\n",
    "        unclip_params = config[\"model\"][\"params\"]\n",
    "        network_config = unclip_params[\"network_config\"]\n",
    "        denoiser_config = unclip_params[\"denoiser_config\"]\n",
    "        first_stage_config = unclip_params[\"first_stage_config\"]\n",
    "        conditioner_config = unclip_params[\"conditioner_config\"]\n",
    "        sampler_config = unclip_params[\"sampler_config\"]\n",
    "        scale_factor = unclip_params[\"scale_factor\"]\n",
    "        disable_first_stage_autocast = unclip_params[\"disable_first_stage_autocast\"]\n",
    "        offset_noise_level = unclip_params[\"loss_fn_config\"][\"params\"][\"offset_noise_level\"]\n",
    "\n",
    "        first_stage_config['target'] = 'sgm.models.autoencoder.AutoencoderKL'\n",
    "        sampler_config['params']['num_steps'] = 38\n",
    "\n",
    "        diffusion_engine = DiffusionEngine(network_config=network_config,\n",
    "                               denoiser_config=denoiser_config,\n",
    "                               first_stage_config=first_stage_config,\n",
    "                               conditioner_config=conditioner_config,\n",
    "                               sampler_config=sampler_config,\n",
    "                               scale_factor=scale_factor,\n",
    "                               disable_first_stage_autocast=disable_first_stage_autocast)\n",
    "        # set to inference\n",
    "        diffusion_engine.eval().requires_grad_(False)\n",
    "        diffusion_engine.to(device)\n",
    "\n",
    "        ckpt_path = '/weka/proj-fmri/shared/mindeyev2_dataset/unclip6_epoch0_step110000.ckpt'\n",
    "        ckpt = torch.load(ckpt_path, map_location='cpu')\n",
    "        diffusion_engine.load_state_dict(ckpt['state_dict'])\n",
    "\n",
    "        image = images[:1].to(device)\n",
    "        batch={\"jpg\": image,\n",
    "              \"original_size_as_tuple\": torch.ones(image.shape[0], 2).to(device) * 768,\n",
    "              \"crop_coords_top_left\": torch.zeros(image.shape[0], 2).to(device)}\n",
    "        out = diffusion_engine.conditioner(batch)\n",
    "        vector_suffix = out[\"vector\"].to(device)\n",
    "        print(\"vector_suffix\", vector_suffix.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec25271a-2209-400c-8026-df3b8ddc1eef",
   "metadata": {},
   "source": [
    "### Setup optimizer / lr / ckpt saving"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "e14d0482-dc42-43b9-9ce1-953c32f2c9c1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total_steps 2610\n",
      "\n",
      "Done with model preparations!\n",
      "param counts:\n",
      "456,918,680 total\n",
      "456,918,680 trainable\n"
     ]
    }
   ],
   "source": [
    "no_decay = ['bias', 'LayerNorm.bias', 'LayerNorm.weight']\n",
    "\n",
    "opt_grouped_parameters = [\n",
    "    {'params': [p for n, p in model.ridge.named_parameters()], 'weight_decay': 1e-2},\n",
    "    {'params': [p for n, p in model.backbone.named_parameters() if not any(nd in n for nd in no_decay)], 'weight_decay': 1e-2},\n",
    "    {'params': [p for n, p in model.backbone.named_parameters() if any(nd in n for nd in no_decay)], 'weight_decay': 0.0},\n",
    "]\n",
    "\n",
    "if use_prior:\n",
    "    opt_grouped_parameters.extend([\n",
    "        {'params': [p for n, p in model.diffusion_prior.named_parameters() if not any(nd in n for nd in no_decay)], 'weight_decay': 1e-2},\n",
    "        {'params': [p for n, p in model.diffusion_prior.named_parameters() if any(nd in n for nd in no_decay)], 'weight_decay': 0.0}\n",
    "    ])\n",
    "\n",
    "optimizer = torch.optim.AdamW(opt_grouped_parameters, lr=max_lr)\n",
    "\n",
    "if lr_scheduler_type == 'linear':\n",
    "    lr_scheduler = torch.optim.lr_scheduler.LinearLR(\n",
    "        optimizer,\n",
    "        total_iters=int(np.floor(num_epochs*num_iterations_per_epoch)),\n",
    "        last_epoch=-1\n",
    "    )\n",
    "elif lr_scheduler_type == 'cycle':\n",
    "    total_steps=int(np.floor(num_epochs*num_iterations_per_epoch))\n",
    "    print(\"total_steps\", total_steps)\n",
    "    lr_scheduler = torch.optim.lr_scheduler.OneCycleLR(\n",
    "        optimizer, \n",
    "        max_lr=max_lr,\n",
    "        total_steps=total_steps,\n",
    "        final_div_factor=1000,\n",
    "        last_epoch=-1, pct_start=2/num_epochs\n",
    "    )\n",
    "    \n",
    "def save_ckpt(tag):\n",
    "    ckpt_path = outdir+f'/{tag}.pth'\n",
    "    if accelerator.is_main_process:\n",
    "        unwrapped_model = accelerator.unwrap_model(model)\n",
    "        torch.save({\n",
    "            'epoch': epoch,\n",
    "            'model_state_dict': unwrapped_model.state_dict(),\n",
    "            'optimizer_state_dict': optimizer.state_dict(),\n",
    "            'lr_scheduler': lr_scheduler.state_dict(),\n",
    "            'train_losses': losses,\n",
    "            'test_losses': test_losses,\n",
    "            'lrs': lrs,\n",
    "            }, ckpt_path)\n",
    "    print(f\"\\n---saved {outdir}/{tag} ckpt!---\\n\")\n",
    "\n",
    "def load_ckpt(tag,load_lr=True,load_optimizer=True,load_epoch=True,strict=True,outdir=outdir,multisubj_loading=False): \n",
    "    print(f\"\\n---loading {outdir}/{tag}.pth ckpt---\\n\")\n",
    "    checkpoint = torch.load(outdir+'/last.pth', map_location='cpu')\n",
    "    state_dict = checkpoint['model_state_dict']\n",
    "    if multisubj_loading: # remove incompatible ridge layer that will otherwise error\n",
    "        state_dict.pop('ridge.linears.0.weight',None)\n",
    "    model.load_state_dict(state_dict, strict=strict)\n",
    "    if load_epoch:\n",
    "        globals()[\"epoch\"] = checkpoint['epoch']\n",
    "        print(\"Epoch\",epoch)\n",
    "    if load_optimizer:\n",
    "        optimizer.load_state_dict(checkpoint['optimizer_state_dict'])\n",
    "    if load_lr:\n",
    "        lr_scheduler.load_state_dict(checkpoint['lr_scheduler'])\n",
    "    del checkpoint\n",
    "\n",
    "print(\"\\nDone with model preparations!\")\n",
    "num_params = utils.count_params(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5690151-2131-4918-b750-e869cbd1a8a8",
   "metadata": {},
   "source": [
    "# Train the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "12de6387-6e18-4e4b-b5ce-a847d625330a",
   "metadata": {},
   "outputs": [],
   "source": [
    "epoch = 0\n",
    "losses, test_losses, lrs = [], [], []\n",
    "best_test_loss = 1e9\n",
    "torch.cuda.empty_cache()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "607a7c7b-fe5e-41a4-80bf-d2814b3a57cc",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# # load multisubject stage1 ckpt if set\n",
    "# if multisubject_ckpt is not None and not resume_from_ckpt:\n",
    "#     load_ckpt(\"last\",outdir=multisubject_ckpt,load_lr=False,load_optimizer=False,load_epoch=False,strict=False,multisubj_loading=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "99f09f76-4481-4133-b09a-a22b10dbc0c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# train_dls = [train_dl[f'subj0{s}'] for s in subj_list]\n",
    "\n",
    "model, optimizer, train_dl, lr_scheduler = accelerator.prepare(model, optimizer, train_dl, lr_scheduler)\n",
    "# leaving out test_dl since we will only have local_rank 0 device do evals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "60be0d5f-3e94-4612-9373-61b53d836393",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing starting with epoch 0 / 30\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  3%|██████████████████████▎                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     | 1/30 [00:06<03:18,  6.85s/it, test/blurry_pixcorr=0, test/loss=3.87, test/loss_clip_total=3.87, test/loss_prior=0, test/num_steps=6, test/recon_cossim=0, test/recon_mse=0, test/test_bwd_pct_correct=0.0486, test/test_fwd_pct_correct=0.0347, train/blurry_pixcorr=0, train/bwd_pct_correct=0.125, train/fwd_pct_correct=0.155, train/loss=2.22, train/loss_blurry_cont_total=0, train/loss_blurry_total=0, train/loss_clip_total=2.22, train/loss_prior=0, train/lr=0.000155, train/num_steps=87, train/recon_cossim=0, train/recon_mse=0]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  7%|████████████████████████████████████████████▌                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               | 2/30 [00:13<03:11,  6.85s/it, test/blurry_pixcorr=0, test/loss=3.77, test/loss_clip_total=3.77, test/loss_prior=0, test/num_steps=12, test/recon_cossim=0, test/recon_mse=0, test/test_bwd_pct_correct=0.0417, test/test_fwd_pct_correct=0.0139, train/blurry_pixcorr=0, train/bwd_pct_correct=0.157, train/fwd_pct_correct=0.519, train/loss=2.26, train/loss_blurry_cont_total=0, train/loss_blurry_total=0, train/loss_clip_total=2.26, train/loss_prior=0, train/lr=0.0003, train/num_steps=174, train/recon_cossim=0, train/recon_mse=0]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 10%|██████████████████████████████████████████████████████████████████▊                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         | 3/30 [00:20<03:04,  6.85s/it, test/blurry_pixcorr=0, test/loss=3.53, test/loss_clip_total=3.53, test/loss_prior=0, test/num_steps=18, test/recon_cossim=0, test/recon_mse=0, test/test_bwd_pct_correct=0.0347, test/test_fwd_pct_correct=0.0208, train/blurry_pixcorr=0, train/bwd_pct_correct=0.2, train/fwd_pct_correct=0.566, train/loss=1.94, train/loss_blurry_cont_total=0, train/loss_blurry_total=0, train/loss_clip_total=1.94, train/loss_prior=0, train/lr=0.000299, train/num_steps=261, train/recon_cossim=0, train/recon_mse=0]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 13%|████████████████████████████████████████████████████████████████████████████████████████▉                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | 4/30 [00:27<02:57,  6.84s/it, test/blurry_pixcorr=0, test/loss=3.73, test/loss_clip_total=3.73, test/loss_prior=0, test/num_steps=24, test/recon_cossim=0, test/recon_mse=0, test/test_bwd_pct_correct=0.0278, test/test_fwd_pct_correct=0.104, train/blurry_pixcorr=0, train/bwd_pct_correct=0.341, train/fwd_pct_correct=0.618, train/loss=1.42, train/loss_blurry_cont_total=0, train/loss_blurry_total=0, train/loss_clip_total=1.42, train/loss_prior=0, train/lr=0.000296, train/num_steps=348, train/recon_cossim=0, train/recon_mse=0]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 17%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          | 5/30 [00:34<02:51,  6.84s/it, test/blurry_pixcorr=0, test/loss=4.16, test/loss_clip_total=4.16, test/loss_prior=0, test/num_steps=30, test/recon_cossim=0, test/recon_mse=0, test/test_bwd_pct_correct=0.0347, test/test_fwd_pct_correct=0.00694, train/blurry_pixcorr=0, train/bwd_pct_correct=0.527, train/fwd_pct_correct=0.632, train/loss=0.89, train/loss_blurry_cont_total=0, train/loss_blurry_total=0, train/loss_clip_total=0.89, train/loss_prior=0, train/lr=0.000292, train/num_steps=435, train/recon_cossim=0, train/recon_mse=0]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 20%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   | 6/30 [00:41<02:44,  6.84s/it, test/blurry_pixcorr=0, test/loss=4.05, test/loss_clip_total=4.05, test/loss_prior=0, test/num_steps=36, test/recon_cossim=0, test/recon_mse=0, test/test_bwd_pct_correct=0.0347, test/test_fwd_pct_correct=0.0278, train/blurry_pixcorr=0, train/bwd_pct_correct=0.654, train/fwd_pct_correct=0.705, train/loss=0.539, train/loss_blurry_cont_total=0, train/loss_blurry_total=0, train/loss_clip_total=0.539, train/loss_prior=0, train/lr=0.000285, train/num_steps=522, train/recon_cossim=0, train/recon_mse=0]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---\n"
     ]
    },
    {
     "name": "stderr",
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      " 73%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                                                                                                                                                                                 | 22/30 [02:28<00:53,  6.71s/it, test/blurry_pixcorr=0, test/loss=3.9, test/loss_clip_total=3.9, test/loss_prior=0, test/num_steps=132, test/recon_cossim=0, test/recon_mse=0, test/test_bwd_pct_correct=0.0347, test/test_fwd_pct_correct=0.0486, train/blurry_pixcorr=0, train/bwd_pct_correct=0.999, train/fwd_pct_correct=1, train/loss=0.00214, train/loss_blurry_cont_total=0, train/loss_blurry_total=0, train/loss_clip_total=0.00214, train/loss_prior=0, train/lr=5.65e-5, train/num_steps=1914, train/recon_cossim=0, train/recon_mse=0]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---\n"
     ]
    },
    {
     "name": "stderr",
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      " 77%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                                                                                                                           | 23/30 [02:35<00:46,  6.71s/it, test/blurry_pixcorr=0, test/loss=3.91, test/loss_clip_total=3.91, test/loss_prior=0, test/num_steps=138, test/recon_cossim=0, test/recon_mse=0, test/test_bwd_pct_correct=0.0417, test/test_fwd_pct_correct=0.0556, train/blurry_pixcorr=0, train/bwd_pct_correct=1, train/fwd_pct_correct=1, train/loss=0.00183, train/loss_blurry_cont_total=0, train/loss_blurry_total=0, train/loss_clip_total=0.00183, train/loss_prior=0, train/lr=4.39e-5, train/num_steps=2001, train/recon_cossim=0, train/recon_mse=0]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 80%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                                                                                                                                     | 24/30 [02:42<00:40,  6.74s/it, test/blurry_pixcorr=0, test/loss=3.92, test/loss_clip_total=3.92, test/loss_prior=0, test/num_steps=144, test/recon_cossim=0, test/recon_mse=0, test/test_bwd_pct_correct=0.0486, test/test_fwd_pct_correct=0.0556, train/blurry_pixcorr=0, train/bwd_pct_correct=1, train/fwd_pct_correct=1, train/loss=0.00104, train/loss_blurry_cont_total=0, train/loss_blurry_total=0, train/loss_clip_total=0.00104, train/loss_prior=0, train/lr=3.27e-5, train/num_steps=2088, train/recon_cossim=0, train/recon_mse=0]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---\n"
     ]
    },
    {
     "name": "stderr",
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      " 83%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                                                                                                               | 25/30 [02:48<00:33,  6.74s/it, test/blurry_pixcorr=0, test/loss=3.93, test/loss_clip_total=3.93, test/loss_prior=0, test/num_steps=150, test/recon_cossim=0, test/recon_mse=0, test/test_bwd_pct_correct=0.0417, test/test_fwd_pct_correct=0.0556, train/blurry_pixcorr=0, train/bwd_pct_correct=1, train/fwd_pct_correct=1, train/loss=0.00114, train/loss_blurry_cont_total=0, train/loss_blurry_total=0, train/loss_clip_total=0.00114, train/loss_prior=0, train/lr=2.3e-5, train/num_steps=2175, train/recon_cossim=0, train/recon_mse=0]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---\n"
     ]
    },
    {
     "name": "stderr",
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      " 87%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                                                                        | 26/30 [02:55<00:26,  6.74s/it, test/blurry_pixcorr=0, test/loss=3.94, test/loss_clip_total=3.94, test/loss_prior=0, test/num_steps=156, test/recon_cossim=0, test/recon_mse=0, test/test_bwd_pct_correct=0.0417, test/test_fwd_pct_correct=0.0556, train/blurry_pixcorr=0, train/bwd_pct_correct=1, train/fwd_pct_correct=1, train/loss=0.00157, train/loss_blurry_cont_total=0, train/loss_blurry_total=0, train/loss_clip_total=0.00157, train/loss_prior=0, train/lr=1.49e-5, train/num_steps=2262, train/recon_cossim=0, train/recon_mse=0]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---\n"
     ]
    },
    {
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      " 90%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                                                                  | 27/30 [03:02<00:20,  6.73s/it, test/blurry_pixcorr=0, test/loss=3.95, test/loss_clip_total=3.95, test/loss_prior=0, test/num_steps=162, test/recon_cossim=0, test/recon_mse=0, test/test_bwd_pct_correct=0.0417, test/test_fwd_pct_correct=0.0556, train/blurry_pixcorr=0, train/bwd_pct_correct=1, train/fwd_pct_correct=1, train/loss=0.00153, train/loss_blurry_cont_total=0, train/loss_blurry_total=0, train/loss_clip_total=0.00153, train/loss_prior=0, train/lr=8.43e-6, train/num_steps=2349, train/recon_cossim=0, train/recon_mse=0]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---\n"
     ]
    },
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      " 93%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                            | 28/30 [03:09<00:13,  6.72s/it, test/blurry_pixcorr=0, test/loss=3.95, test/loss_clip_total=3.95, test/loss_prior=0, test/num_steps=168, test/recon_cossim=0, test/recon_mse=0, test/test_bwd_pct_correct=0.0417, test/test_fwd_pct_correct=0.0556, train/blurry_pixcorr=0, train/bwd_pct_correct=1, train/fwd_pct_correct=1, train/loss=0.00159, train/loss_blurry_cont_total=0, train/loss_blurry_total=0, train/loss_clip_total=0.00159, train/loss_prior=0, train/lr=3.77e-6, train/num_steps=2436, train/recon_cossim=0, train/recon_mse=0]"
     ]
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      " 97%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                      | 29/30 [03:15<00:06,  6.74s/it, test/blurry_pixcorr=0, test/loss=3.95, test/loss_clip_total=3.95, test/loss_prior=0, test/num_steps=174, test/recon_cossim=0, test/recon_mse=0, test/test_bwd_pct_correct=0.0417, test/test_fwd_pct_correct=0.0556, train/blurry_pixcorr=0, train/bwd_pct_correct=1, train/fwd_pct_correct=1, train/loss=0.00164, train/loss_blurry_cont_total=0, train/loss_blurry_total=0, train/loss_clip_total=0.00164, train/loss_prior=0, train/lr=9.55e-7, train/num_steps=2523, train/recon_cossim=0, train/recon_mse=0]"
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---\n",
      "\n",
      "===Finished!===\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "print(f\"{model_name} starting with epoch {epoch} / {num_epochs}\")\n",
    "progress_bar = tqdm(range(epoch,num_epochs), ncols=1200, disable=(local_rank!=0))\n",
    "test_image, test_voxel = None, None\n",
    "mse = nn.MSELoss()\n",
    "l1 = nn.L1Loss()\n",
    "soft_loss_temps = utils.cosine_anneal(0.004, 0.0075, num_epochs - int(mixup_pct * num_epochs))\n",
    "skip_train = True if epoch>=(num_epochs-1) else False # skip training if you are resuming from a fully trained model\n",
    "\n",
    "for epoch in progress_bar:\n",
    "    model.train()\n",
    "\n",
    "    fwd_percent_correct = 0.\n",
    "    bwd_percent_correct = 0.\n",
    "    test_fwd_percent_correct = 0.\n",
    "    test_bwd_percent_correct = 0.\n",
    "    \n",
    "    recon_cossim = 0.\n",
    "    test_recon_cossim = 0.\n",
    "    recon_mse = 0.\n",
    "    test_recon_mse = 0.\n",
    "\n",
    "    loss_clip_total = 0.\n",
    "    loss_blurry_total = 0.\n",
    "    loss_blurry_cont_total = 0.\n",
    "    test_loss_clip_total = 0.\n",
    "    \n",
    "    loss_prior_total = 0.\n",
    "    test_loss_prior_total = 0.\n",
    "\n",
    "    blurry_pixcorr = 0.\n",
    "    test_blurry_pixcorr = 0. \n",
    "\n",
    "    # you now have voxel_iters and image_iters with num_iterations_per_epoch batches each\n",
    "    for train_i, behav in enumerate(train_dl):  \n",
    "        with torch.cuda.amp.autocast(dtype=data_type):\n",
    "            optimizer.zero_grad()\n",
    "            loss = 0.\n",
    "            \n",
    "            behav = behav[0]\n",
    "\n",
    "            image = images[behav.long().cpu()].to(device)\n",
    "            voxel = vox[behav.long().cpu()]\n",
    "            # voxel = (voxel - train_mean) / train_std\n",
    "            voxel = torch.Tensor(voxel).unsqueeze(1).to(device)\n",
    "\n",
    "            if use_image_aug: \n",
    "                image = img_augment(image)\n",
    "\n",
    "            clip_target = clip_img_embedder(image)\n",
    "            assert not torch.any(torch.isnan(clip_target))\n",
    "\n",
    "            if epoch < int(mixup_pct * num_epochs):\n",
    "                voxel, perm, betas, select = utils.mixco(voxel)\n",
    "\n",
    "            voxel_ridge = model.ridge(voxel,0) #[model.ridge(voxel_list[si],si) for si,s in enumerate(subj_list)]\n",
    "            # voxel_ridge = torch.cat(voxel_ridge_list, dim=0)\n",
    "\n",
    "            backbone, clip_voxels, blurry_image_enc_ = model.backbone(voxel_ridge)\n",
    "\n",
    "            if clip_scale>0:\n",
    "                clip_voxels_norm = nn.functional.normalize(clip_voxels.flatten(1), dim=-1)\n",
    "                clip_target_norm = nn.functional.normalize(clip_target.flatten(1), dim=-1)\n",
    "\n",
    "            if use_prior:\n",
    "                loss_prior, prior_out = model.diffusion_prior(text_embed=backbone, image_embed=clip_target)\n",
    "                loss_prior_total += loss_prior.item()\n",
    "                loss_prior *= prior_scale\n",
    "                loss += loss_prior\n",
    "\n",
    "                recon_cossim += nn.functional.cosine_similarity(prior_out, clip_target).mean().item()\n",
    "                recon_mse += mse(prior_out, clip_target).item()\n",
    "\n",
    "            if clip_scale>0:\n",
    "                if epoch < int(mixup_pct * num_epochs):                \n",
    "                    loss_clip = utils.mixco_nce(\n",
    "                        clip_voxels_norm,\n",
    "                        clip_target_norm,\n",
    "                        temp=.006,\n",
    "                        perm=perm, betas=betas, select=select)\n",
    "                else:\n",
    "                    epoch_temp = soft_loss_temps[epoch-int(mixup_pct*num_epochs)]\n",
    "                    loss_clip = utils.soft_clip_loss(\n",
    "                        clip_voxels_norm,\n",
    "                        clip_target_norm,\n",
    "                        temp=epoch_temp)\n",
    "\n",
    "                loss_clip_total += loss_clip.item()\n",
    "                loss_clip *= clip_scale\n",
    "                loss += loss_clip\n",
    "\n",
    "            if blurry_recon:     \n",
    "                image_enc_pred, transformer_feats = blurry_image_enc_\n",
    "\n",
    "                image_enc = autoenc.encode(2*image-1).latent_dist.mode() * 0.18215\n",
    "                loss_blurry = l1(image_enc_pred, image_enc)\n",
    "                loss_blurry_total += loss_blurry.item()\n",
    "\n",
    "                if epoch < int(mixup_pct * num_epochs):\n",
    "                    image_enc_shuf = image_enc[perm]\n",
    "                    betas_shape = [-1] + [1]*(len(image_enc.shape)-1)\n",
    "                    image_enc[select] = image_enc[select] * betas[select].reshape(*betas_shape) + \\\n",
    "                        image_enc_shuf[select] * (1 - betas[select]).reshape(*betas_shape)\n",
    "\n",
    "                image_norm = (image - mean)/std\n",
    "                image_aug = (blur_augs(image) - mean)/std\n",
    "                _, cnx_embeds = cnx(image_norm)\n",
    "                _, cnx_aug_embeds = cnx(image_aug)\n",
    "\n",
    "                cont_loss = utils.soft_cont_loss(\n",
    "                    nn.functional.normalize(transformer_feats.reshape(-1, transformer_feats.shape[-1]), dim=-1),\n",
    "                    nn.functional.normalize(cnx_embeds.reshape(-1, cnx_embeds.shape[-1]), dim=-1),\n",
    "                    nn.functional.normalize(cnx_aug_embeds.reshape(-1, cnx_embeds.shape[-1]), dim=-1),\n",
    "                    temp=0.2)\n",
    "                loss_blurry_cont_total += cont_loss.item()\n",
    "\n",
    "                loss += (loss_blurry + 0.1*cont_loss) * blur_scale #/.18215\n",
    "\n",
    "            if clip_scale>0:\n",
    "                # forward and backward top 1 accuracy        \n",
    "                labels = torch.arange(len(clip_voxels_norm)).to(clip_voxels_norm.device) \n",
    "                fwd_percent_correct += utils.topk(utils.batchwise_cosine_similarity(clip_voxels_norm, clip_target_norm), labels, k=1).item()\n",
    "                bwd_percent_correct += utils.topk(utils.batchwise_cosine_similarity(clip_target_norm, clip_voxels_norm), labels, k=1).item()\n",
    "\n",
    "            if blurry_recon:\n",
    "                with torch.no_grad():\n",
    "                    # only doing pixcorr eval on a subset of the samples per batch because its costly & slow to compute autoenc.decode()\n",
    "                    random_samps = np.random.choice(np.arange(len(image)), size=len(image)//5, replace=False)\n",
    "                    blurry_recon_images = (autoenc.decode(image_enc_pred[random_samps]/0.18215).sample/ 2 + 0.5).clamp(0,1)\n",
    "                    pixcorr = utils.pixcorr(image[random_samps], blurry_recon_images)\n",
    "                    blurry_pixcorr += pixcorr.item()\n",
    "            \n",
    "            utils.check_loss(loss)\n",
    "            accelerator.backward(loss)\n",
    "            optimizer.step()\n",
    "\n",
    "            losses.append(loss.item())\n",
    "            lrs.append(optimizer.param_groups[0]['lr'])\n",
    "\n",
    "            if lr_scheduler_type is not None:\n",
    "                lr_scheduler.step()\n",
    "                \n",
    "            if train_i >= num_iterations_per_epoch-1:\n",
    "                break\n",
    "                \n",
    "    model.eval()\n",
    "    if local_rank==0:\n",
    "        with torch.no_grad(), torch.cuda.amp.autocast(dtype=data_type): \n",
    "            for test_i, behav in enumerate(test_dl):  \n",
    "                behav = behav[0]\n",
    "\n",
    "                loss=0.\n",
    "\n",
    "                if behav.ndim==2:\n",
    "                    image = images[behav[:,0].long().cpu()].to(device)\n",
    "                    voxel = vox[behav.long().cpu()].mean(1)\n",
    "                else:\n",
    "                    image = images[behav.long().cpu()].to(device)\n",
    "                    voxel = vox[behav.long().cpu()]\n",
    "                    \n",
    "                voxel = torch.Tensor(voxel).unsqueeze(1).to(device)\n",
    "\n",
    "                clip_target = clip_img_embedder(image.float())\n",
    "                \n",
    "                voxel_ridge = model.ridge(voxel,0)\n",
    "\n",
    "                backbone, clip_voxels, blurry_image_enc_ = model.backbone(voxel_ridge)\n",
    "\n",
    "                if clip_scale>0:\n",
    "                    clip_voxels_norm = nn.functional.normalize(clip_voxels.flatten(1), dim=-1)\n",
    "                    clip_target_norm = nn.functional.normalize(clip_target.flatten(1), dim=-1)\n",
    "                \n",
    "                # for some evals, only doing a subset of the samples per batch because of computational cost\n",
    "                random_samps = np.random.choice(np.arange(len(image)), size=len(image)//5, replace=False)\n",
    "                \n",
    "                if use_prior:\n",
    "                    loss_prior, contaminated_prior_out = model.diffusion_prior(text_embed=backbone[random_samps], image_embed=clip_target[random_samps])\n",
    "                    test_loss_prior_total += loss_prior.item()\n",
    "                    loss_prior *= prior_scale\n",
    "                    loss += loss_prior\n",
    "                    \n",
    "                    if visualize_prior:\n",
    "                        # now get unCLIP prediction without feeding it the image embed to get uncontaminated reconstruction\n",
    "                        prior_out = model.diffusion_prior.p_sample_loop(backbone[random_samps].shape, \n",
    "                                        text_cond = dict(text_embed = backbone[random_samps]), \n",
    "                                        cond_scale = 1., timesteps = timesteps)\n",
    "\n",
    "                        test_recon_cossim += nn.functional.cosine_similarity(prior_out, clip_target[random_samps]).mean().item()\n",
    "                        test_recon_mse += mse(prior_out, clip_target[random_samps]).item()\n",
    "                        \n",
    "                if clip_scale>0:\n",
    "                    loss_clip = utils.soft_clip_loss(\n",
    "                        clip_voxels_norm,\n",
    "                        clip_target_norm,\n",
    "                        temp=.006)\n",
    "\n",
    "                    test_loss_clip_total += loss_clip.item()\n",
    "                    loss_clip = loss_clip * clip_scale\n",
    "                    loss += loss_clip\n",
    "\n",
    "                if blurry_recon:\n",
    "                    image_enc_pred, _ = blurry_image_enc_\n",
    "                    blurry_recon_images = (autoenc.decode(image_enc_pred[random_samps]/0.18215).sample / 2 + 0.5).clamp(0,1)\n",
    "                    pixcorr = utils.pixcorr(image[random_samps], blurry_recon_images)\n",
    "                    test_blurry_pixcorr += pixcorr.item()\n",
    "\n",
    "                if clip_scale>0:\n",
    "                    # forward and backward top 1 accuracy        \n",
    "                    labels = torch.arange(len(clip_voxels_norm)).to(clip_voxels_norm.device) \n",
    "                    test_fwd_percent_correct += utils.topk(utils.batchwise_cosine_similarity(clip_voxels_norm, clip_target_norm), labels, k=1).item()\n",
    "                    test_bwd_percent_correct += utils.topk(utils.batchwise_cosine_similarity(clip_target_norm, clip_voxels_norm), labels, k=1).item()\n",
    "                \n",
    "                utils.check_loss(loss)                \n",
    "                test_losses.append(loss.item())\n",
    "\n",
    "            # if utils.is_interactive(): clear_output(wait=True)\n",
    "            if skip_train: break\n",
    "            print(\"---\")\n",
    "\n",
    "            # assert (test_i+1) == 1\n",
    "            logs = {\"train/loss\": np.mean(losses[-(train_i+1):]),\n",
    "                \"test/loss\": np.mean(test_losses[-(test_i+1):]),\n",
    "                \"train/lr\": lrs[-1],\n",
    "                \"train/num_steps\": len(losses),\n",
    "                \"test/num_steps\": len(test_losses),\n",
    "                \"train/fwd_pct_correct\": fwd_percent_correct / (train_i + 1),\n",
    "                \"train/bwd_pct_correct\": bwd_percent_correct / (train_i + 1),\n",
    "                \"test/test_fwd_pct_correct\": test_fwd_percent_correct / (test_i + 1),\n",
    "                \"test/test_bwd_pct_correct\": test_bwd_percent_correct / (test_i + 1),\n",
    "                \"train/loss_clip_total\": loss_clip_total / (train_i + 1),\n",
    "                \"train/loss_blurry_total\": loss_blurry_total / (train_i + 1),\n",
    "                \"train/loss_blurry_cont_total\": loss_blurry_cont_total / (train_i + 1),\n",
    "                \"test/loss_clip_total\": test_loss_clip_total / (test_i + 1),\n",
    "                \"train/blurry_pixcorr\": blurry_pixcorr / (train_i + 1),\n",
    "                \"test/blurry_pixcorr\": test_blurry_pixcorr / (test_i + 1),\n",
    "                \"train/recon_cossim\": recon_cossim / (train_i + 1),\n",
    "                \"test/recon_cossim\": test_recon_cossim / (test_i + 1),\n",
    "                \"train/recon_mse\": recon_mse / (train_i + 1),\n",
    "                \"test/recon_mse\": test_recon_mse / (test_i + 1),\n",
    "                \"train/loss_prior\": loss_prior_total / (train_i + 1),\n",
    "                \"test/loss_prior\": test_loss_prior_total / (test_i + 1),\n",
    "                }\n",
    "\n",
    "            # if finished training, save jpg recons if they exist\n",
    "            if (epoch == num_epochs-1) or (epoch % ckpt_interval == 0):\n",
    "                if blurry_recon:    \n",
    "                    image_enc = autoenc.encode(2*image[:4]-1).latent_dist.mode() * 0.18215\n",
    "                    # transform blurry recon latents to images and plot it\n",
    "                    fig, axes = plt.subplots(1, 8, figsize=(10, 4))\n",
    "                    jj=-1\n",
    "                    for j in [0,1,2,3]:\n",
    "                        jj+=1\n",
    "                        axes[jj].imshow(utils.torch_to_Image((autoenc.decode(image_enc[[j]]/0.18215).sample / 2 + 0.5).clamp(0,1)))\n",
    "                        axes[jj].axis('off')\n",
    "                        jj+=1\n",
    "                        axes[jj].imshow(utils.torch_to_Image((autoenc.decode(image_enc_pred[[j]]/0.18215).sample / 2 + 0.5).clamp(0,1)))\n",
    "                        axes[jj].axis('off')\n",
    "\n",
    "                    plt.show()\n",
    "                        \n",
    "                if use_prior and visualize_prior: # output recons every ckpt\n",
    "                    idx = np.random.randint(0, 3)\n",
    "                    print(f\"reconstructing... idx={idx}\")\n",
    "                    samples = utils.unclip_recon(prior_out[[idx]],\n",
    "                             diffusion_engine,\n",
    "                             vector_suffix)\n",
    "                    if utils.is_interactive():\n",
    "                        plt.figure(figsize=(2,2))\n",
    "                        plt.imshow(transforms.ToPILImage()(image[idx]))\n",
    "                        plt.axis('off')\n",
    "                        plt.show()\n",
    "                        \n",
    "                        plt.figure(figsize=(2,2))\n",
    "                        plt.imshow(transforms.ToPILImage()(samples[0]))\n",
    "                        plt.axis('off')\n",
    "                        plt.show()\n",
    "\n",
    "            progress_bar.set_postfix(**logs)\n",
    "            \n",
    "    # Save model checkpoint and reconstruct\n",
    "    if (ckpt_saving) and (epoch % ckpt_interval == 0):\n",
    "        save_ckpt(f'last')\n",
    "\n",
    "    # wait for other GPUs to catch up if needed\n",
    "    accelerator.wait_for_everyone()\n",
    "    torch.cuda.empty_cache()\n",
    "\n",
    "print(\"\\n===Finished!===\\n\")\n",
    "if ckpt_saving:\n",
    "    save_ckpt(f'last')"
   ]
  }
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