diff --git "a/competition/\347\247\221\345\244\247\350\256\257\351\243\236AI\345\274\200\345\217\221\350\200\205\345\244\247\350\265\2332024/\345\244\247\346\250\241\345\236\213\345\233\276\345\203\217\351\243\216\346\240\274\350\277\201\347\247\273\346\214\221\346\210\230\350\265\233_label.ipynb" "b/competition/\347\247\221\345\244\247\350\256\257\351\243\236AI\345\274\200\345\217\221\350\200\205\345\244\247\350\265\2332024/\345\244\247\346\250\241\345\236\213\345\233\276\345\203\217\351\243\216\346\240\274\350\277\201\347\247\273\346\214\221\346\210\230\350\265\233_label.ipynb"
new file mode 100644
index 0000000..68caf9c
--- /dev/null
+++ "b/competition/\347\247\221\345\244\247\350\256\257\351\243\236AI\345\274\200\345\217\221\350\200\205\345\244\247\350\265\2332024/\345\244\247\346\250\241\345\236\213\345\233\276\345\203\217\351\243\216\346\240\274\350\277\201\347\247\273\346\214\221\346\210\230\350\265\233_label.ipynb"
@@ -0,0 +1,2189 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "e4d2d495-b47e-4bec-8421-a11d5b4eadd5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import cv2, glob, time\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "import torch\n",
+    "import torch.nn as nn\n",
+    "import torch.nn.functional as F\n",
+    "import torch.utils.data as D\n",
+    "\n",
+    "import torchvision\n",
+    "from torchvision import transforms as T\n",
+    "\n",
+    "import albumentations as A\n",
+    "from tqdm import tqdm\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "ea2c1413-d738-4a02-8171-7ef355ba73b1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train_img = glob.glob('./train/*_input.jpg')\n",
+    "train_mask = glob.glob('./train/*_target.jpg')\n",
+    "train_img.sort(); train_mask.sort()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "41694830-14bb-4bfd-9c3e-c56bfb1e195b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5000"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(train_img)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "5ba15c2d-3bcf-4013-abe5-7a3a62669c57",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(512, 512, 3)"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cv2.imread(train_mask[0]).shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "6d8129ff-df41-4c0a-86ac-0aa04b8c7097",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(512, 512, 3)"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cv2.imread(train_img[0]).shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "560d8628-aac1-4a1b-b139-02bb51d94496",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class FoodDataset(D.Dataset):\n",
+    "    def __init__(self, images, masks, transform):\n",
+    "        self.images = images\n",
+    "        self.masks = masks\n",
+    "        \n",
+    "        self.transform = transform\n",
+    "        self.as_tensor = T.Compose([\n",
+    "            T.ToTensor(),\n",
+    "            T.Normalize([0.625, 0.448, 0.688],\n",
+    "                        [0.131, 0.177, 0.101]),\n",
+    "        ])\n",
+    "        \n",
+    "\n",
+    "    # get data operation\n",
+    "    def __getitem__(self, index):\n",
+    "        image, mask = cv2.imread(self.images[index]), cv2.imread(self.masks[index])\n",
+    "        mask = np.transpose(mask, (2, 0, 1))\n",
+    "        # transpose((2, 0, 1))\n",
+    "        \n",
+    "        # augments = self.transform(image=image, mask=mask)\n",
+    "        return self.as_tensor(image), mask / 255.0\n",
+    "        # return augments['image'], augments['mask'][None]\n",
+    "\n",
+    "    def __len__(self):\n",
+    "        return len(self.images)\n",
+    "\n",
+    "\n",
+    "trfm = A.Compose([\n",
+    "    A.Resize(512,512),\n",
+    "    # A.HorizontalFlip(p=0.5, is_check_shapes=False),\n",
+    "    # A.VerticalFlip(p=0.5, is_check_shapes=False),\n",
+    "    \n",
+    "    # A.OneOf([\n",
+    "    #     A.RandomGamma(),\n",
+    "    #     A.ColorJitter(brightness=0.07, contrast=0.07,\n",
+    "    #                saturation=0.1, hue=0.1, always_apply=False, p=0.3),\n",
+    "    #     ], p=0.3),\n",
+    "    # A.OneOf([\n",
+    "    #     A.ElasticTransform(alpha=120, sigma=120 * 0.05, alpha_affine=120 * 0.03),\n",
+    "    #     A.GridDistortion(),\n",
+    "    #     A.OpticalDistortion(distort_limit=2, shift_limit=0.5),\n",
+    "    #     ], p=0.0),\n",
+    "    # A.ShiftScaleRotate(),\n",
+    "])\n",
+    "\n",
+    "train_ds = FoodDataset(train_img[:-200], train_mask[:-200], transform=trfm)\n",
+    "\n",
+    "\n",
+    "trfm = A.Compose([\n",
+    "    A.Resize(512,512),\n",
+    "])\n",
+    "val_ds = FoodDataset(train_img[-200:], train_mask[-200:], transform=trfm)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "3c92daf0-5504-42ed-a29d-82068319d34a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(3, 512, 512)"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train_ds[0][1].shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "11a89d2c-5734-48d5-a5b7-eb3f2d6f1906",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train_loader = D.DataLoader( train_ds, batch_size=8, shuffle=True, num_workers=3)\n",
+    "val_loader = D.DataLoader( val_ds, batch_size=8, shuffle=False, num_workers=3)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e63b47a2-a86d-424d-a043-2d0b51943020",
+   "metadata": {},
+   "source": [
+    "## Unet"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "766af224-b35a-4d5f-8d8a-9655df17de69",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import segmentation_models_pytorch as smp\n",
+    "\n",
+    "model = smp.Unet(\n",
+    "    encoder_name=\"resnet18\",        # choose encoder, e.g. mobilenet_v2 or efficientnet-b7\n",
+    "    encoder_weights=\"imagenet\",     # use `imagenet` pre-trained weights for encoder initialization\n",
+    "    in_channels=3,                  # model input channels (1 for gray-scale images, 3 for RGB, etc.)\n",
+    "    classes=3\n",
+    ")\n",
+    "\n",
+    "# model = smp.DeepLabV3(\n",
+    "#     encoder_name=\"resnet18\",        # choose encoder, e.g. mobilenet_v2 or efficientnet-b7\n",
+    "#     encoder_weights=\"imagenet\",     # use `imagenet` pre-trained weights for encoder initialization\n",
+    "#     in_channels=3,                  # model input channels (1 for gray-scale images, 3 for RGB, etc.)\n",
+    "#     classes=103,                      # model output channels (number of classes in your dataset)\n",
+    "# )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "b4e7dc12-04a8-486c-ad85-e74240eb1545",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 600/600 [02:04<00:00,  4.84it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1/10\n",
+      "Train Loss: 0.0633, Validation Loss: 0.0329\n",
+      "Time: 2.10 minutes\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 600/600 [02:04<00:00,  4.84it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 2/10\n",
+      "Train Loss: 0.0318, Validation Loss: 0.0326\n",
+      "Time: 2.10 minutes\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 600/600 [02:04<00:00,  4.82it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 3/10\n",
+      "Train Loss: 0.0290, Validation Loss: 0.0274\n",
+      "Time: 2.11 minutes\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 600/600 [02:04<00:00,  4.82it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 4/10\n",
+      "Train Loss: 0.0268, Validation Loss: 0.0306\n",
+      "Time: 2.11 minutes\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 600/600 [02:04<00:00,  4.82it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 5/10\n",
+      "Train Loss: 0.0254, Validation Loss: 0.0257\n",
+      "Time: 2.11 minutes\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 600/600 [02:04<00:00,  4.82it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 6/10\n",
+      "Train Loss: 0.0231, Validation Loss: 0.0254\n",
+      "Time: 2.11 minutes\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 600/600 [02:04<00:00,  4.82it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 7/10\n",
+      "Train Loss: 0.0218, Validation Loss: 0.0288\n",
+      "Time: 2.11 minutes\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 600/600 [02:04<00:00,  4.82it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 8/10\n",
+      "Train Loss: 0.0198, Validation Loss: 0.0257\n",
+      "Time: 2.11 minutes\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 600/600 [02:04<00:00,  4.82it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 9/10\n",
+      "Train Loss: 0.0183, Validation Loss: 0.0259\n",
+      "Time: 2.11 minutes\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 600/600 [02:04<00:00,  4.82it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 10/10\n",
+      "Train Loss: 0.0171, Validation Loss: 0.0251\n",
+      "Time: 2.11 minutes\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "header = r'''\n",
+    "        Train | Valid\n",
+    "Epoch |  Loss |  Loss | Time, m\n",
+    "'''\n",
+    "raw_line = '{:6d}' + '\\u2502{:7.3f}'*2 + '\\u2502{:6.2f}'\n",
+    "\n",
+    "@torch.no_grad()\n",
+    "def validation(model, loader, loss_fn):\n",
+    "    losses = []\n",
+    "    total_correct = 0\n",
+    "    total_samples = 0\n",
+    "    miou_scores = []\n",
+    "    model.eval()\n",
+    "    for image, target in loader:\n",
+    "        image, target = image.to('cuda'), target.to('cuda').float()\n",
+    "        output = model(image)\n",
+    "        loss = loss_fn(output, target)\n",
+    "        losses.append(loss.item())\n",
+    "                \n",
+    "    avg_loss = np.array(losses).mean()\n",
+    "    \n",
+    "    return avg_loss\n",
+    "\n",
+    "model.to('cuda');\n",
+    "optimizer = torch.optim.Adam(model.parameters(), lr=1e-3)\n",
+    "bce_fn = nn.MSELoss()\n",
+    "# bce_fn = MultiClassDiceLoss()\n",
+    "\n",
+    "EPOCHES = 10\n",
+    "train_losses = []\n",
+    "val_losses = []\n",
+    "accuracies = []\n",
+    "mious = []\n",
+    "\n",
+    "for epoch in range(1, EPOCHES + 1):\n",
+    "    losses = []\n",
+    "    start_time = time.time()\n",
+    "    model.train()\n",
+    "    for image, target in tqdm(train_loader):\n",
+    "        image, target = image.to('cuda'), target.to('cuda').float()\n",
+    "        optimizer.zero_grad()\n",
+    "        output = model(image)\n",
+    "        loss = bce_fn(output, target)\n",
+    "        loss.backward()\n",
+    "        optimizer.step()\n",
+    "        losses.append(loss.item())\n",
+    "        \n",
+    "    avg_train_loss = np.mean(losses)\n",
+    "    avg_loss = validation(model, val_loader, bce_fn)\n",
+    "    \n",
+    "    train_losses.append(avg_train_loss)\n",
+    "    val_losses.append(avg_loss)\n",
+    "    \n",
+    "    print(f\"Epoch {epoch}/{EPOCHES}\")\n",
+    "    print(f\"Train Loss: {avg_train_loss:.4f}, Validation Loss: {avg_loss:.4f}\")\n",
+    "    print(f\"Time: {(time.time() - start_time) / 60:.2f} minutes\\n\")\n",
+    "\n",
+    "epochs = range(1, EPOCHES + 1)\n",
+    "plt.figure()\n",
+    "plt.plot(epochs, train_losses, 'b', label='Training loss')\n",
+    "plt.plot(epochs, val_losses, 'r', label='Validation loss')\n",
+    "plt.xlabel('Epochs')\n",
+    "plt.ylabel('Loss')\n",
+    "plt.title('Training and Validation Loss')\n",
+    "plt.legend()\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "cdf1e55c-7fc1-4da4-b68c-e4a0e56efce4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(torch.Size([8, 3, 512, 512]), torch.Size([8, 3, 512, 512]))"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "output.shape, target.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "e1904924-3051-4be1-9b09-a1075b167b8a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.eval()\n",
+    "for image, target in val_loader:\n",
+    "    image, target = image.to('cuda'), target.to('cuda').float()\n",
+    "    output = model(image)\n",
+    "    break"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "c131b202-46f3-4c3b-af87-c40754020c92",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "output = (output.data.cpu().numpy() * 255).astype(np.uint8)\n",
+    "output = output[3]\n",
+    "output = np.transpose(output, (1,2, 0))\n",
+    "\n",
+    "target = (target.data.cpu().numpy() * 255).astype(np.uint8)\n",
+    "target = target[3]\n",
+    "target = np.transpose(target, (1,2, 0))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "16791861-a30b-4d72-b611-98fe885a8b30",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x769b290a8c50>"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.subplot(121)\n",
+    "plt.imshow(output)\n",
+    "\n",
+    "plt.subplot(122)\n",
+    "plt.imshow(target)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "46346c06-a70a-4269-80c9-8b50338b6a6e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trfm = A.Compose([\n",
+    "    A.Resize(512,512),\n",
+    "])\n",
+    "test_img = glob.glob('./test/*_input.jpg')\n",
+    "test_img.sort()\n",
+    "test_ds = FoodDataset(test_img, test_img, transform=trfm)\n",
+    "test_loader = D.DataLoader( test_ds, batch_size=8, shuffle=False, num_workers=3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "0d6991be-b920-4a41-a99b-43c777799a66",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!mkdir submit"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "b1ad1057-b465-49ff-ae96-05e1588056a9",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "model.eval()\n",
+    "idx = 0\n",
+    "with torch.no_grad():\n",
+    "    for image, target in test_loader:\n",
+    "        image, target = image.to('cuda'), target.to('cuda').float()\n",
+    "        outputs = model(image)\n",
+    "        outputs = (outputs.data.cpu().numpy() * 255).astype(np.uint8)\n",
+    "        for output in outputs:\n",
+    "            output = np.transpose(output, (1,2, 0))\n",
+    "            cv2.imwrite('submit/' + test_img[idx].split('/')[-1].replace('input', 'target'), output)\n",
+    "            idx += 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "eccd920c-64b8-4189-a151-3ae91b4fe299",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1501\n",
+      "1501\n"
+     ]
+    }
+   ],
+   "source": [
+    "!ls -l submit | wc -l\n",
+    "!ls -l test | wc -l"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "d13654ee-14eb-4a2b-986e-b90e3e33b209",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "  adding: submit/ (stored 0%)\n",
+      "  adding: submit/7004a3dd-f242-4b1a-83f4-fbec22e66b7f_target.jpg (deflated 1%)\n",
+      "  adding: submit/841ac922-5950-4718-95e0-2a7b9da8a9cf_target.jpg (deflated 0%)\n",
+      "  adding: submit/d2ded8f2-8bec-4035-95f1-94f89cccb982_target.jpg (deflated 1%)\n",
+      "  adding: submit/22aa21ac-f423-47e9-bebc-6999c6aac8f8_target.jpg (deflated 0%)\n",
+      "  adding: submit/4ca34784-ff99-4832-8f58-0bb7b9384b3d_target.jpg (deflated 0%)\n",
+      "  adding: submit/ce74cc10-826d-4a45-af0a-fe85a7fe4822_target.jpg (deflated 0%)\n",
+      "  adding: submit/c5156ede-c149-411a-836d-a4edccddf76c_target.jpg (deflated 1%)\n",
+      "  adding: submit/f355b820-dcc7-40d2-ac89-014ea03fefe4_target.jpg (deflated 0%)\n",
+      "  adding: submit/1030db1b-06c6-4b19-9c72-2461f01e1e2a_target.jpg (deflated 0%)\n",
+      "  adding: submit/5433ca06-eda5-41ae-a860-eb16ff074557_target.jpg (deflated 0%)\n",
+      "  adding: submit/4eceda6c-ef69-4277-b117-bb116ec59108_target.jpg (deflated 0%)\n",
+      "  adding: submit/4782b2f2-4e50-4924-9789-3a58bbfcc61b_target.jpg (deflated 0%)\n",
+      "  adding: submit/3c1f62ff-a237-44cf-8cba-dccdd34f4792_target.jpg (deflated 1%)\n",
+      "  adding: submit/27c4fb87-6420-449f-8575-ae9c7721e9eb_target.jpg (deflated 0%)\n",
+      "  adding: submit/af9814ab-19c8-4b70-b417-b3333c48997f_target.jpg (deflated 0%)\n",
+      "  adding: submit/b646371f-d265-4851-8e87-f1317be0ec28_target.jpg (deflated 0%)\n",
+      "  adding: submit/4f89d797-eae9-404f-b0e8-186899a5834f_target.jpg (deflated 0%)\n",
+      "  adding: submit/e828595b-0444-4532-bf75-64f1aa6d15ed_target.jpg (deflated 0%)\n",
+      "  adding: submit/0d1334f4-7228-4c2c-95dc-0fd926762356_target.jpg (deflated 0%)\n",
+      "  adding: submit/7a476866-e4c6-4ab2-b70c-e438da3d1a98_target.jpg (deflated 0%)\n",
+      "  adding: submit/91f62bf2-2cb8-49da-a5bd-9bf5c642220b_target.jpg (deflated 0%)\n",
+      "  adding: submit/c3b5659c-7fc2-487a-b342-e006f977ed41_target.jpg (deflated 0%)\n",
+      "  adding: submit/cc9b3a7d-8946-4d10-bc4a-0f56a5f7033b_target.jpg (deflated 0%)\n",
+      "  adding: submit/9ea533a7-c308-470b-b57c-8dbeab20d2ae_target.jpg (deflated 0%)\n",
+      "  adding: submit/7dc8c1ea-97ca-4426-88a0-d5e9e87179c6_target.jpg (deflated 1%)\n",
+      "  adding: submit/f311abcc-24fd-4b3f-9d5a-27e1c081295f_target.jpg (deflated 0%)\n",
+      "  adding: submit/2e7b9695-401e-49b6-8f47-37d87ff1a02d_target.jpg (deflated 1%)\n",
+      "  adding: submit/0061c3ab-9900-428e-8428-395c6629792a_target.jpg (deflated 0%)\n",
+      "  adding: submit/38f44ccc-c0dc-4413-96d3-0c6e199c74dd_target.jpg (deflated 0%)\n",
+      "  adding: submit/21299944-191a-44a4-a91d-12737f4f9867_target.jpg (deflated 0%)\n",
+      "  adding: submit/7a74e984-cc95-45c6-b213-bda6df3121e7_target.jpg (deflated 0%)\n",
+      "  adding: submit/3f953534-9552-4af1-b4c3-d5e3f009c4e2_target.jpg (deflated 0%)\n",
+      "  adding: submit/600a1990-a016-4798-94ed-4b867b967d04_target.jpg (deflated 0%)\n",
+      "  adding: submit/5b4f2fb9-5853-4cff-be28-cc4ccdd85c68_target.jpg (deflated 0%)\n",
+      "  adding: submit/15ad4771-f97d-4a8d-be96-b9635e3b8f71_target.jpg (deflated 0%)\n",
+      "  adding: submit/7e94096e-004f-4107-aee4-d2cded3c6ca6_target.jpg (deflated 0%)\n",
+      "  adding: submit/53efda2c-360e-4d91-8cc0-c476e3b7b864_target.jpg (deflated 0%)\n",
+      "  adding: submit/655e189a-6c7e-49b9-a109-75be8e180cb4_target.jpg (deflated 0%)\n",
+      "  adding: submit/b3d0bbbd-7a01-4409-b2f5-045fa90c541e_target.jpg (deflated 0%)\n",
+      "  adding: submit/5e31fb92-86af-4988-b0c8-784e0b0a85f4_target.jpg (deflated 0%)\n",
+      "  adding: submit/7801dace-39c2-475d-a619-32375cf39422_target.jpg (deflated 1%)\n",
+      "  adding: submit/2f1d2d01-a08f-4ba6-ba55-a895216598e1_target.jpg (deflated 0%)\n",
+      "  adding: submit/989defa7-d386-4540-9ea2-c32ab437d615_target.jpg (deflated 1%)\n",
+      "  adding: submit/4c9c99b2-45a9-4f1e-9c42-cf1001c6927e_target.jpg (deflated 0%)\n",
+      "  adding: submit/6d124b97-96b8-42a4-aecf-db9fb6f18c07_target.jpg (deflated 0%)\n",
+      "  adding: submit/a82c3826-677b-49a9-acd7-8263db731365_target.jpg (deflated 0%)\n",
+      "  adding: submit/7c0c4c7d-2807-49c5-89ce-67ca6a223e20_target.jpg (deflated 0%)\n",
+      "  adding: submit/444e5c1d-b91b-4298-94d8-161b0d243e8d_target.jpg (deflated 0%)\n",
+      "  adding: submit/40f37bc1-a05e-4957-8c50-267a9df1c0ef_target.jpg (deflated 1%)\n",
+      "  adding: submit/6fd22c95-4d23-4af5-93ec-8b28e8693847_target.jpg (deflated 0%)\n",
+      "  adding: submit/4e7c485f-6c32-4ec8-8cdd-7ec4c1c844a3_target.jpg (deflated 0%)\n",
+      "  adding: submit/80938aa6-2c14-4e02-9ca9-e10712420c80_target.jpg (deflated 0%)\n",
+      "  adding: submit/6b55d2b6-9146-4712-a2f5-4c1441227424_target.jpg (deflated 0%)\n",
+      "  adding: submit/07af3b57-4cd7-4502-b0a0-aa6e92bb9ec3_target.jpg (deflated 0%)\n",
+      "  adding: submit/c1c30fd5-b770-4e60-8bcf-3105af53239c_target.jpg (deflated 0%)\n",
+      "  adding: submit/7b5caec0-75cd-49d6-a21f-abb28f26e3cf_target.jpg (deflated 1%)\n",
+      "  adding: submit/802d4998-36e4-4e85-946e-073c9e160711_target.jpg (deflated 0%)\n",
+      "  adding: submit/7821ab31-abbe-44f9-bf79-c5ec9258479d_target.jpg (deflated 0%)\n",
+      "  adding: submit/a1e99ead-7af2-4d4e-8194-aa70f13a1c34_target.jpg (deflated 0%)\n",
+      "  adding: submit/daaae2db-b72c-48fd-a549-b21efa2508af_target.jpg (deflated 0%)\n",
+      "  adding: submit/a805e176-c7b2-4c5f-884b-374c55b97d49_target.jpg (deflated 0%)\n",
+      "  adding: submit/cf7ca49b-1f04-4e4f-b231-fbe4f4c84428_target.jpg (deflated 0%)\n",
+      "  adding: submit/3521a4f5-b71c-4a76-8c0d-ec5588b4918e_target.jpg (deflated 1%)\n",
+      "  adding: submit/9cdfae08-4990-4f74-bdb2-f4b04a9c0e1b_target.jpg (deflated 0%)\n",
+      "  adding: submit/f8687b8b-916b-47d3-842f-1a284f93d181_target.jpg (deflated 0%)\n",
+      "  adding: submit/6b700929-8ba2-4f0c-bf9c-26f0af4818d2_target.jpg (deflated 0%)\n",
+      "  adding: submit/bbe445f5-ff3b-440e-a1f8-0c101df5a095_target.jpg (deflated 0%)\n",
+      "  adding: submit/35d42f0d-e389-4e23-ad49-696fad74513d_target.jpg (deflated 1%)\n",
+      "  adding: submit/287941e0-ba71-43c0-a99c-1981b0e38e48_target.jpg (deflated 0%)\n",
+      "  adding: submit/709f6503-f86a-48e1-8bf9-44a03c2afd61_target.jpg (deflated 0%)\n",
+      "  adding: submit/2f71d06f-2af1-4be2-8616-baa8474a5359_target.jpg (deflated 0%)\n",
+      "  adding: submit/96d632f9-111f-47fe-a987-d79f25b53239_target.jpg (deflated 1%)\n",
+      "  adding: submit/405bf94c-d6cf-4fab-9c97-64fec674c2f8_target.jpg (deflated 1%)\n",
+      "  adding: submit/555e3b88-6ca5-4cfe-a3ca-bafdcc3d7339_target.jpg (deflated 0%)\n",
+      "  adding: submit/a3ea2b30-9848-406e-bfee-e620f51105f6_target.jpg (deflated 1%)\n",
+      "  adding: submit/a06b5086-a6d9-451d-b14e-5ba6fd761f72_target.jpg (deflated 0%)\n",
+      "  adding: submit/5c32ef6d-621d-415d-b274-ab64713d85d3_target.jpg (deflated 1%)\n",
+      "  adding: submit/835fb89d-f845-4081-8f00-2bad6ddd3dfe_target.jpg (deflated 0%)\n",
+      "  adding: submit/f8f18d06-671b-44bb-aa53-8a6969682463_target.jpg (deflated 0%)\n",
+      "  adding: submit/6279df33-d564-41f5-9b23-7395c425827f_target.jpg (deflated 0%)\n",
+      "  adding: submit/433a1b3e-e127-4756-9ddf-5b0fca02a160_target.jpg (deflated 0%)\n",
+      "  adding: submit/e156d393-b95e-4159-b026-4e3327341f14_target.jpg (deflated 0%)\n",
+      "  adding: submit/d5aa6fc2-4efb-4203-87b1-e6e6758c48a0_target.jpg (deflated 0%)\n",
+      "  adding: submit/2ae9d92b-f5e1-45b7-9234-14efebf20b2c_target.jpg (deflated 1%)\n",
+      "  adding: submit/42d3ff7a-3e22-4920-9fb6-4148e2e9073c_target.jpg (deflated 0%)\n",
+      "  adding: submit/7573ba28-e2cb-423e-ad62-156605d5d406_target.jpg (deflated 0%)\n",
+      "  adding: submit/5e734f3c-8e2f-4451-a326-70157c99bd34_target.jpg (deflated 0%)\n",
+      "  adding: submit/d80dc766-759c-4dea-9572-fec7dab56b5b_target.jpg (deflated 0%)\n",
+      "  adding: submit/ad06fa94-4633-4a3a-ac11-18a886426dc3_target.jpg (deflated 0%)\n",
+      "  adding: submit/7e67acf5-281d-4ec5-ba60-c2b6592beb9e_target.jpg (deflated 0%)\n",
+      "  adding: submit/4d4e89f7-9ccc-4440-bf54-60875c016d4b_target.jpg (deflated 0%)\n",
+      "  adding: submit/aaeac30e-572e-41de-b88b-c018da208301_target.jpg (deflated 0%)\n",
+      "  adding: submit/c0a11e39-ad1c-4e4c-9de4-02c8aa7e3c17_target.jpg (deflated 0%)\n",
+      "  adding: submit/b6ad331a-2035-4fab-9501-2137ea0dd965_target.jpg (deflated 0%)\n",
+      "  adding: submit/a9a692f8-80ee-4fed-8def-cf02182d1ac8_target.jpg (deflated 0%)\n",
+      "  adding: submit/ba2b96c9-1f67-45d7-8093-4f4d5fcff1d2_target.jpg (deflated 0%)\n",
+      "  adding: submit/1e7f51f0-c4d3-42ce-a25b-adee368d7b84_target.jpg (deflated 1%)\n",
+      "  adding: submit/0b73dcf1-a7be-4a39-988a-a2c60e5e26be_target.jpg (deflated 1%)\n",
+      "  adding: submit/c5b9727e-353a-4aba-8ae5-bd9b1834ed4d_target.jpg (deflated 0%)\n",
+      "  adding: submit/332c786b-1d63-4778-b243-36cbf5bc4709_target.jpg (deflated 0%)\n",
+      "  adding: submit/ec9d7c7e-21fe-49f5-9433-e2624a4dd13d_target.jpg (deflated 0%)\n",
+      "  adding: submit/48d3cf9a-85ad-4b2a-919c-3ffe3983b342_target.jpg (deflated 1%)\n",
+      "  adding: submit/3c8365e8-00d6-483e-a069-4225a3b35ebc_target.jpg (deflated 0%)\n",
+      "  adding: submit/f1cef067-efa6-4317-aeb7-87b3449efc95_target.jpg (deflated 0%)\n",
+      "  adding: submit/b083f9ef-7038-425c-ae9b-6673df509949_target.jpg (deflated 0%)\n",
+      "  adding: submit/364c93f6-59e5-4a17-bbc2-3220e67be00a_target.jpg (deflated 1%)\n",
+      "  adding: submit/61ee4ee2-a6b7-41c5-8235-fcf3ab9e8d30_target.jpg (deflated 0%)\n",
+      "  adding: submit/843b3872-fe0c-4cf3-bf7b-27c5db253f0d_target.jpg (deflated 0%)\n",
+      "  adding: submit/0e564a1e-3ea4-4b37-8228-835a7cd4d4e3_target.jpg (deflated 0%)\n",
+      "  adding: submit/a9c22574-ca93-4022-8d76-3f09d1e050b1_target.jpg (deflated 0%)\n",
+      "  adding: submit/945a754c-016b-4b3f-b9b2-60ccd36613e4_target.jpg (deflated 0%)\n",
+      "  adding: submit/9242a406-f0d5-4cf1-98b3-ac89b372cbc8_target.jpg (deflated 0%)\n",
+      "  adding: submit/ac4843c4-4af6-43d7-8d71-1c7f72802e17_target.jpg (deflated 0%)\n",
+      "  adding: submit/ecc0014c-cd5a-43f8-8caf-d9f4bca72881_target.jpg (deflated 1%)\n",
+      "  adding: submit/f7548689-7341-4256-9739-fe961dd96b5f_target.jpg (deflated 0%)\n",
+      "  adding: submit/d4a14621-026e-4f33-a7b5-b43d1aed4c8c_target.jpg (deflated 0%)\n",
+      "  adding: submit/098ff93a-a096-4b35-8e5e-5d68a5c54b03_target.jpg (deflated 0%)\n",
+      "  adding: submit/19146a7d-ffc6-4801-acb2-be81e31e4b54_target.jpg (deflated 0%)\n",
+      "  adding: submit/81c369bf-99de-4e4b-ba4b-27bd168017f0_target.jpg (deflated 0%)\n",
+      "  adding: submit/93be1715-4043-4380-b8d6-d1fe99564a4e_target.jpg (deflated 1%)\n",
+      "  adding: submit/02356856-837c-4886-9543-dc5cfdf6d2fa_target.jpg (deflated 0%)\n",
+      "  adding: submit/394e71db-4505-401a-8d0c-0bee39dd5918_target.jpg (deflated 1%)\n",
+      "  adding: submit/8f7a0736-1d9b-4b2c-9f1a-3557a31b54c8_target.jpg (deflated 0%)\n",
+      "  adding: submit/261d71c7-d2bb-4655-be0d-e19ba535f653_target.jpg (deflated 0%)\n",
+      "  adding: submit/b2ecc339-c9a4-4bc1-a078-5f7c887da60c_target.jpg (deflated 0%)\n",
+      "  adding: submit/6f802bc0-9428-4f07-9bfd-21c377ffb252_target.jpg (deflated 0%)\n",
+      "  adding: submit/689f25b9-c7c7-44b9-b00c-0dcf6f275873_target.jpg (deflated 1%)\n",
+      "  adding: submit/ebce273e-2b54-43f7-9db4-84b145068996_target.jpg (deflated 0%)\n",
+      "  adding: submit/c5191e2d-1945-43ba-bcdc-5ec0c6dc4787_target.jpg (deflated 1%)\n",
+      "  adding: submit/980c5c25-fae1-4d64-8e43-d6874bd6e01d_target.jpg (deflated 0%)\n",
+      "  adding: submit/08afff94-d81c-4b24-97d2-740fa5710e88_target.jpg (deflated 0%)\n",
+      "  adding: submit/7a328654-d77f-4df8-9492-608d5520d0a2_target.jpg (deflated 0%)\n",
+      "  adding: submit/b1355701-ca51-43fd-a24b-cd3c3a73bb35_target.jpg (deflated 0%)\n",
+      "  adding: submit/f6bd245e-7803-4c08-9fc4-b315a1d38fbc_target.jpg (deflated 1%)\n",
+      "  adding: submit/ba492aff-cc74-46db-83a6-6a1b233a2270_target.jpg (deflated 1%)\n",
+      "  adding: submit/6b4c41d3-b474-4db1-81a4-dd64db6fb150_target.jpg (deflated 0%)\n",
+      "  adding: submit/cfa82007-870c-45b1-a82c-c69e54ffe054_target.jpg (deflated 0%)\n",
+      "  adding: submit/8d06bab5-2e38-4900-8dce-4293d605e93f_target.jpg (deflated 0%)\n",
+      "  adding: submit/6e6a7d93-dd73-4d2e-9f3f-087a61660f33_target.jpg (deflated 0%)\n",
+      "  adding: submit/f0729623-9afc-4e4e-9daf-5a4ab3bac262_target.jpg (deflated 0%)\n",
+      "  adding: submit/ac68a794-0146-4d14-83bb-46cbd591f93c_target.jpg (deflated 0%)\n",
+      "  adding: submit/0854db44-f156-4e18-b271-c6f39388af62_target.jpg (deflated 0%)\n",
+      "  adding: submit/ebf8ac0d-e77c-4396-9b85-5e64b78efee0_target.jpg (deflated 0%)\n",
+      "  adding: submit/bc14637c-c9b8-4303-819e-e6882722107f_target.jpg (deflated 0%)\n",
+      "  adding: submit/37271f66-c842-412e-9321-25e623c5dd3b_target.jpg (deflated 0%)\n",
+      "  adding: submit/2a102de0-dd2d-4b2b-86dc-a4e2541d0f6b_target.jpg (deflated 0%)\n",
+      "  adding: submit/212b7292-89c3-479a-bde2-896624cd977c_target.jpg (deflated 0%)\n",
+      "  adding: submit/8ad72e52-d059-438e-b059-6a94ecb7d5eb_target.jpg (deflated 1%)\n",
+      "  adding: submit/e65a7881-57e3-4372-9f50-e9c160a4f33f_target.jpg (deflated 0%)\n",
+      "  adding: submit/c187968a-3838-4579-b6ac-b1bbed2004ec_target.jpg (deflated 0%)\n",
+      "  adding: submit/93addd8a-eac6-4c27-a672-68b05d490d79_target.jpg (deflated 1%)\n",
+      "  adding: submit/9de99c22-fba0-4452-9a81-32c073e56723_target.jpg (deflated 0%)\n",
+      "  adding: submit/612720bb-1c5b-404e-95af-d3c0f82cc0a7_target.jpg (deflated 0%)\n",
+      "  adding: submit/1e67596d-aadd-43c8-9e30-3c2169c1e3f7_target.jpg (deflated 1%)\n",
+      "  adding: submit/51df9b24-f3ce-4c55-a911-8de2b752dbf8_target.jpg (deflated 0%)\n",
+      "  adding: submit/404783c8-7e4f-4316-8bc8-57bb967b6e65_target.jpg (deflated 0%)\n",
+      "  adding: submit/d16f12c7-d147-4b08-beb6-23c8b63a0f9f_target.jpg (deflated 1%)\n",
+      "  adding: submit/32277bab-c8e7-45a8-9f8c-03badbaaab76_target.jpg (deflated 1%)\n",
+      "  adding: submit/2be79e1e-2323-485c-9037-dfc8ca229595_target.jpg (deflated 0%)\n",
+      "  adding: submit/d9ac9879-333b-4c0f-b03e-3c806e103b79_target.jpg (deflated 0%)\n",
+      "  adding: submit/6aacdcb3-0c21-4e9f-978a-d747f80dcf36_target.jpg (deflated 0%)\n",
+      "  adding: submit/cdfb5804-42e7-4ec2-95ff-5f2bf6bb1799_target.jpg (deflated 0%)\n",
+      "  adding: submit/4b931f00-b0ba-492c-8742-37727bb72e35_target.jpg (deflated 0%)\n",
+      "  adding: submit/2ab2ab75-30d4-4b00-a761-4ab43f7f437b_target.jpg (deflated 0%)\n",
+      "  adding: submit/eda4b7bd-41d6-4e18-a5f3-40c7bbe5306b_target.jpg (deflated 0%)\n",
+      "  adding: submit/6d834fb5-f8ca-495b-b94a-f9a4edb8da29_target.jpg (deflated 1%)\n",
+      "  adding: submit/726add5e-8c57-44ad-94cb-688d4cfb9fad_target.jpg (deflated 1%)\n",
+      "  adding: submit/3254d82c-59bc-4faa-a470-43f6848277dc_target.jpg (deflated 0%)\n",
+      "  adding: submit/037af1ec-7b11-4ad9-823a-c9ac7f9596b8_target.jpg (deflated 0%)\n",
+      "  adding: submit/b50b2de4-deeb-4ca9-9a41-e0ff97dc3d17_target.jpg (deflated 1%)\n",
+      "  adding: submit/5ac6c5ef-40b1-4b4b-b5bd-c0eccd29ba6a_target.jpg (deflated 0%)\n",
+      "  adding: submit/8d956d50-6ee8-4b66-8daf-9659970d3542_target.jpg (deflated 0%)\n",
+      "  adding: submit/2bae97ba-601a-45e7-af47-d31a1827c633_target.jpg (deflated 1%)\n",
+      "  adding: submit/87dec687-89c0-4304-87d9-8aa20537ed2a_target.jpg (deflated 1%)\n",
+      "  adding: submit/7230a265-4487-4875-b3c1-c26d4a7978f0_target.jpg (deflated 1%)\n",
+      "  adding: submit/5960f459-52d2-483b-ac61-c2dffdcdf8ef_target.jpg (deflated 0%)\n",
+      "  adding: submit/e39c5ae9-392c-4ad4-a227-a42682d03770_target.jpg (deflated 0%)\n",
+      "  adding: submit/310236cd-8529-45b0-9fdd-c1a872aa85ca_target.jpg (deflated 0%)\n",
+      "  adding: submit/d90526ec-f522-4470-9bdd-abb83976097b_target.jpg (deflated 0%)\n",
+      "  adding: submit/801d9fea-f54f-44e3-922f-2c56ba4b0bad_target.jpg (deflated 0%)\n",
+      "  adding: submit/7939fbda-d62d-46a2-9d87-4e38d23adc99_target.jpg (deflated 0%)\n",
+      "  adding: submit/1d58915e-0d2c-4eb9-b0e6-ef0b57b09a52_target.jpg (deflated 0%)\n",
+      "  adding: submit/8b6288c9-f043-4d7c-9150-de710dd7bf00_target.jpg (deflated 1%)\n",
+      "  adding: submit/dfea4684-5e68-41a6-b350-ca84849538cc_target.jpg (deflated 0%)\n",
+      "  adding: submit/aeba79d3-6f26-411e-9526-f739aeac4b92_target.jpg (deflated 1%)\n",
+      "  adding: submit/f1e12310-05bb-4a79-a547-2e3deafd68e9_target.jpg (deflated 1%)\n",
+      "  adding: submit/19a6a82b-039a-4b25-83de-f72a89271890_target.jpg (deflated 0%)\n",
+      "  adding: submit/771c64c2-6365-4112-bac3-ce6e30b024ca_target.jpg (deflated 0%)\n",
+      "  adding: submit/4f33e867-50ac-498b-99af-8608240f3d41_target.jpg (deflated 1%)\n",
+      "  adding: submit/137945b3-ba0e-45be-97f6-5e47b3925733_target.jpg (deflated 0%)\n",
+      "  adding: submit/8f3bbf3e-0cdd-4aa5-b0f3-b7af48d5ff8f_target.jpg (deflated 1%)\n",
+      "  adding: submit/e6340bb4-a2ef-481a-9127-d062f77db35c_target.jpg (deflated 0%)\n",
+      "  adding: submit/df1a0281-453e-421b-9565-9108e4af14b5_target.jpg (deflated 0%)\n",
+      "  adding: submit/9bcae601-2738-4330-8dd5-fe9fe73e046b_target.jpg (deflated 1%)\n",
+      "  adding: submit/537ad7ce-6294-40cb-98db-cae21c5a539e_target.jpg (deflated 1%)\n",
+      "  adding: submit/e9edc19b-4f80-4486-be79-6f4c97b4bf54_target.jpg (deflated 0%)\n",
+      "  adding: submit/62a9ddde-b5ab-41fd-9f23-27240eee24b8_target.jpg (deflated 0%)\n",
+      "  adding: submit/30d56d21-ee1d-44b1-9ffe-a17d02e1d29f_target.jpg (deflated 1%)\n",
+      "  adding: submit/4a2812d7-f853-4e77-acdc-d60e9ecea169_target.jpg (deflated 0%)\n",
+      "  adding: submit/7f4c39ea-c06a-4dc4-9b9b-8adcb926cd93_target.jpg (deflated 0%)\n",
+      "  adding: submit/434c8e5a-9444-4a93-ba85-d11e0b6d7dcb_target.jpg (deflated 0%)\n",
+      "  adding: submit/a37e96b4-0d4c-46d4-b629-a6c059475e59_target.jpg (deflated 0%)\n",
+      "  adding: submit/88149fdc-aa1c-4ad7-b6c3-d3a423ed5967_target.jpg (deflated 0%)\n",
+      "  adding: submit/66ea353c-6c95-49bb-a617-b7aac933fda6_target.jpg (deflated 0%)\n",
+      "  adding: submit/da4e47bc-9191-49ca-be43-d38c3319ab60_target.jpg (deflated 0%)\n",
+      "  adding: submit/86b55362-de9b-47fc-9cb0-fa9d9251c212_target.jpg (deflated 1%)\n",
+      "  adding: submit/9aa83c65-517a-42ce-b68b-1dacd90eafe4_target.jpg (deflated 0%)\n",
+      "  adding: submit/21da5028-ffe9-4c10-a01d-f72f20cfb9a7_target.jpg (deflated 0%)\n",
+      "  adding: submit/dbc464ca-7967-4acf-a808-9f78acc5b3c8_target.jpg (deflated 0%)\n",
+      "  adding: submit/af84f465-37c4-437e-aec1-b7f066dd0a44_target.jpg (deflated 1%)\n",
+      "  adding: submit/2cae889a-a95f-4305-a20e-9d0844a63015_target.jpg (deflated 0%)\n",
+      "  adding: submit/31bc8bc4-b1be-4075-88c3-e8f0e37dbbc4_target.jpg (deflated 0%)\n",
+      "  adding: submit/9004b9a5-30be-4f50-adf6-fa5f2bcb6885_target.jpg (deflated 0%)\n",
+      "  adding: submit/50a308bd-9258-47d6-92b3-d9772b8cf901_target.jpg (deflated 0%)\n",
+      "  adding: submit/e9509d9a-c880-4f9a-be7c-ad112aa5722a_target.jpg (deflated 1%)\n",
+      "  adding: submit/9e0cf9b9-3aa4-4ee1-a4b7-e5817962e83f_target.jpg (deflated 0%)\n",
+      "  adding: submit/441da58a-744b-468d-9494-5416e65a4693_target.jpg (deflated 0%)\n",
+      "  adding: submit/96d03b20-137b-4451-b178-96ac1d879396_target.jpg (deflated 1%)\n",
+      "  adding: submit/d64ca4a0-6b71-4f7e-9e00-e0ee0b0f7e99_target.jpg (deflated 0%)\n",
+      "  adding: submit/59884c3a-2c61-44ef-9313-36d91732a2e5_target.jpg (deflated 0%)\n",
+      "  adding: submit/4e4027a9-789e-455d-bc55-fec0f4bcef9a_target.jpg (deflated 0%)\n",
+      "  adding: submit/113b5140-e56a-4ac0-a876-e2a993def8ad_target.jpg (deflated 0%)\n",
+      "  adding: submit/55d2f570-9cff-40de-9826-c69c9b76941e_target.jpg (deflated 0%)\n",
+      "  adding: submit/6bfc7bba-3e94-4f34-9e76-9a62bc6cbe0f_target.jpg (deflated 1%)\n",
+      "  adding: submit/9ac3cb2a-4ceb-4560-b240-4c64e620546d_target.jpg (deflated 0%)\n",
+      "  adding: submit/b93d34f7-d47a-4ecf-b072-b41f37b7d858_target.jpg (deflated 0%)\n",
+      "  adding: submit/a99a9de1-501b-410d-8e63-55c7c9e43b76_target.jpg (deflated 1%)\n",
+      "  adding: submit/3959326f-fa84-46aa-8fb6-122f844e2575_target.jpg (deflated 1%)\n",
+      "  adding: submit/5a3b7f5a-c8b0-49d0-aba4-b3f80405976c_target.jpg (deflated 0%)\n",
+      "  adding: submit/478983a8-fe65-4284-a422-e159c7ff53c1_target.jpg (deflated 0%)\n",
+      "  adding: submit/db672897-c310-4a78-b747-e5085e91ae00_target.jpg (deflated 0%)\n",
+      "  adding: submit/78dc46e1-75bc-420c-8edb-f5f7409e4769_target.jpg (deflated 0%)\n",
+      "  adding: submit/26743469-39bf-4854-b792-6bc890594b38_target.jpg (deflated 1%)\n",
+      "  adding: submit/bc81c11b-0c70-47a0-9a29-ea07182df6ab_target.jpg (deflated 0%)\n",
+      "  adding: submit/ebe47765-ef52-4139-9911-2a0669b1781d_target.jpg (deflated 1%)\n",
+      "  adding: submit/2004ac6b-20c4-42e4-a31b-47dca76967de_target.jpg (deflated 0%)\n",
+      "  adding: submit/de12c26d-588f-4ced-a0c8-f32dbe4f51a8_target.jpg (deflated 0%)\n",
+      "  adding: submit/5014e87a-36ca-426e-b342-7a2181d0c616_target.jpg (deflated 0%)\n",
+      "  adding: submit/200c30e1-1a99-41e9-9ee4-9921b093108b_target.jpg (deflated 0%)\n",
+      "  adding: submit/4b8cf1b9-d745-428d-9616-9e082854796d_target.jpg (deflated 0%)\n",
+      "  adding: submit/e9207690-0e14-4b44-afd2-150331998646_target.jpg (deflated 0%)\n",
+      "  adding: submit/64277277-1887-489a-8aa3-e54755140c47_target.jpg (deflated 0%)\n",
+      "  adding: submit/337e2075-8e84-4062-ad87-128f0785464f_target.jpg (deflated 1%)\n",
+      "  adding: submit/bb095cbb-df6d-4d08-a4b2-99d3cfbd0656_target.jpg (deflated 0%)\n",
+      "  adding: submit/51faa9e8-5167-4dcb-a8ee-cd68c418fb36_target.jpg (deflated 0%)\n",
+      "  adding: submit/9f3c08bf-f4bf-497e-b699-8a1ae9986240_target.jpg (deflated 0%)\n",
+      "  adding: submit/338b2fc9-1fde-4523-9f11-65560de13036_target.jpg (deflated 0%)\n",
+      "  adding: submit/20726221-27e9-4bfa-a783-e9b7712bfc6f_target.jpg (deflated 0%)\n",
+      "  adding: submit/96bf25d1-e006-444b-98d5-bc969932becf_target.jpg (deflated 0%)\n",
+      "  adding: submit/eaac667a-22dd-4d4b-b2b8-77aaa762ee5a_target.jpg (deflated 0%)\n",
+      "  adding: submit/0b156ff7-fc96-41f0-a65c-3cfadb3147b5_target.jpg (deflated 1%)\n",
+      "  adding: submit/26d256eb-a288-427a-bd95-74b210e5b0e2_target.jpg (deflated 0%)\n",
+      "  adding: submit/36aa3d4f-8177-49d5-afdd-7d6e10b0c5c3_target.jpg (deflated 0%)\n",
+      "  adding: submit/b5d53897-8a7a-44fc-a3ab-805ebeffcef4_target.jpg (deflated 0%)\n",
+      "  adding: submit/1eaed6b3-83b2-4ec1-a5bb-c6f250d3cc53_target.jpg (deflated 0%)\n",
+      "  adding: submit/076b8a73-4459-456a-a127-9caa947e5f60_target.jpg (deflated 0%)\n",
+      "  adding: submit/065eeb17-9816-476b-aefb-5cdd9b20c924_target.jpg (deflated 0%)\n",
+      "  adding: submit/d147c218-a860-4395-b066-e9ab27272e14_target.jpg (deflated 0%)\n",
+      "  adding: submit/6a26d21f-9911-4329-8b06-13e553c78450_target.jpg (deflated 1%)\n",
+      "  adding: submit/198c6382-97cc-408a-b296-af8bd3eb2b02_target.jpg (deflated 0%)\n",
+      "  adding: submit/a516d4ac-d1a5-4eec-ad1c-2d0660b2565f_target.jpg (deflated 0%)\n",
+      "  adding: submit/e64d04f5-6baf-4c45-8bc9-4b7ff537b3b7_target.jpg (deflated 0%)\n",
+      "  adding: submit/c69cc9f7-d8e0-4f33-947e-c345b0ad3a66_target.jpg (deflated 0%)\n",
+      "  adding: submit/08712ab1-adc5-46ce-a8ce-6468331309e4_target.jpg (deflated 0%)\n",
+      "  adding: submit/e4d4990e-9338-47f4-8ee7-30ca88fc1dc6_target.jpg (deflated 1%)\n",
+      "  adding: submit/e23496cb-2b1d-41c1-9f9d-a37cf139fe0b_target.jpg (deflated 0%)\n",
+      "  adding: submit/f3a719af-0352-4252-b65b-b0f9d9c71188_target.jpg (deflated 0%)\n",
+      "  adding: submit/b2ca4c0c-f034-42ca-83bf-27302a101f90_target.jpg (deflated 0%)\n",
+      "  adding: submit/c2bafa8d-3073-4458-8cb0-315ffd147e60_target.jpg (deflated 0%)\n",
+      "  adding: submit/f493fd51-6b3b-48d5-9a54-e96be5cbded6_target.jpg (deflated 0%)\n",
+      "  adding: submit/b644cb2c-fd61-4bfd-ae8b-3cc2a3229f7d_target.jpg (deflated 0%)\n",
+      "  adding: submit/9253c0b1-e7b1-49ca-af1b-1a77fbfc14c0_target.jpg (deflated 1%)\n",
+      "  adding: submit/6939e377-a800-479b-88d0-a742b8e5d45f_target.jpg (deflated 0%)\n",
+      "  adding: submit/9f1b4f9b-bf0c-426b-8ff2-d0d63547721d_target.jpg (deflated 0%)\n",
+      "  adding: submit/bf780cb3-10d2-4998-b23b-368543562452_target.jpg (deflated 0%)\n",
+      "  adding: submit/adbd63a2-4577-4023-a654-52ec590f1c81_target.jpg (deflated 0%)\n",
+      "  adding: submit/5eee42c9-21ad-4e77-b84d-4fefc9400286_target.jpg (deflated 0%)\n",
+      "  adding: submit/fccd40c4-a903-475e-95dc-a5d660615593_target.jpg (deflated 0%)\n",
+      "  adding: submit/8f4a9823-d987-4e2e-a14f-b4134026d882_target.jpg (deflated 1%)\n",
+      "  adding: submit/71787594-bd16-4bab-b70d-16601672ef10_target.jpg (deflated 0%)\n",
+      "  adding: submit/65a069b9-b0f8-4bc2-b02d-d4f64ae95574_target.jpg (deflated 0%)\n",
+      "  adding: submit/cb700fc4-c9f9-482a-b9bb-0f96e4ebe324_target.jpg (deflated 0%)\n",
+      "  adding: submit/c8871952-b897-41c5-a921-7a340e38501c_target.jpg (deflated 0%)\n",
+      "  adding: submit/8fb7c2b4-4406-4b04-859c-fd87a83723bd_target.jpg (deflated 0%)\n",
+      "  adding: submit/a11b528a-73eb-42c9-ab03-6b0a5517f9c4_target.jpg (deflated 0%)\n",
+      "  adding: submit/8a53ac60-3262-4be3-a2e2-0979835db86e_target.jpg (deflated 0%)\n",
+      "  adding: submit/22095033-818f-4718-a81b-92fd2252f8dd_target.jpg (deflated 0%)\n",
+      "  adding: submit/0920a40b-fdcc-4f38-9510-ad601953a9fa_target.jpg (deflated 0%)\n",
+      "  adding: submit/890968d2-be1d-4605-8ac8-c52c9b1c81db_target.jpg (deflated 0%)\n",
+      "  adding: submit/8998cabd-ee8c-4d8c-9621-c5ad05238ec3_target.jpg (deflated 0%)\n",
+      "  adding: submit/485a2b57-df54-4398-8b29-fee43be5f7ad_target.jpg (deflated 1%)\n",
+      "  adding: submit/047a63a0-19cd-4d73-b1d4-7bc721c4fb1e_target.jpg (deflated 0%)\n",
+      "  adding: submit/27bcc894-2235-4ffc-ae91-cf6e1db49a9f_target.jpg (deflated 0%)\n",
+      "  adding: submit/406e9546-a949-489a-aa07-4c97379ecfaf_target.jpg (deflated 1%)\n",
+      "  adding: submit/94a0dda7-1363-4621-8dc4-482bf3fb27fd_target.jpg (deflated 0%)\n",
+      "  adding: submit/6d52458d-ee8e-4fb6-8b55-1ddb8dc4fa10_target.jpg (deflated 0%)\n",
+      "  adding: submit/9328d667-32c5-4d44-a1b3-0eee1ff03a27_target.jpg (deflated 0%)\n",
+      "  adding: submit/78a8a531-87ae-4ba4-8938-7ad2a5542ec3_target.jpg (deflated 1%)\n",
+      "  adding: submit/6a6e085d-ba02-4b91-9ed9-f5cbbe62557f_target.jpg (deflated 1%)\n",
+      "  adding: submit/e5152250-dcb8-448b-b442-f4d7d27be601_target.jpg (deflated 0%)\n",
+      "  adding: submit/43c2c68f-5c90-448c-a681-e2108fddc8b1_target.jpg (deflated 0%)\n",
+      "  adding: submit/982cdb40-9993-432b-b082-9c952e6598c6_target.jpg (deflated 0%)\n",
+      "  adding: submit/73ab7abb-bea3-4e63-bd7b-fc6db01a2327_target.jpg (deflated 1%)\n",
+      "  adding: submit/4a1457af-dbe1-4ada-a4d6-3b741f43423e_target.jpg (deflated 0%)\n",
+      "  adding: submit/cd2b1268-4975-4220-9460-471de8116951_target.jpg (deflated 0%)\n",
+      "  adding: submit/d7d27b1c-3104-428b-a9ba-1190aea4057c_target.jpg (deflated 0%)\n",
+      "  adding: submit/097d8612-ecbb-4347-b727-4496b4d4bacf_target.jpg (deflated 0%)\n",
+      "  adding: submit/fca29707-6bb5-41c1-a74f-8b29eef1b974_target.jpg (deflated 0%)\n",
+      "  adding: submit/48f18dd6-2961-4ab6-b4d8-0a537a446559_target.jpg (deflated 1%)\n",
+      "  adding: submit/43739dc9-21aa-49cc-9a13-72c69b4db97a_target.jpg (deflated 0%)\n",
+      "  adding: submit/bce85cf0-3734-441c-85b6-98d4602fd583_target.jpg (deflated 0%)\n",
+      "  adding: submit/f5d0ba62-f652-492e-83c6-22cb28020cab_target.jpg (deflated 1%)\n",
+      "  adding: submit/1bc3b9c1-dc2f-4209-9b0d-59ab34f7b53d_target.jpg (deflated 0%)\n",
+      "  adding: submit/3da79f9c-f201-42b2-a4ee-4d7ca24b7adf_target.jpg (deflated 0%)\n",
+      "  adding: submit/b84a8888-bbd7-4994-94eb-050a89c1378c_target.jpg (deflated 0%)\n",
+      "  adding: submit/a42bec27-7b24-4f32-9b4c-242b89dc1e29_target.jpg (deflated 0%)\n",
+      "  adding: submit/d0895916-913c-4f6c-81ca-6a4be4986699_target.jpg (deflated 0%)\n",
+      "  adding: submit/8cd91b80-059c-4b38-8b5a-af9f1d5d40f0_target.jpg (deflated 0%)\n",
+      "  adding: submit/e64118f3-0f54-4dda-a22a-b03b674b6925_target.jpg (deflated 0%)\n",
+      "  adding: submit/4f548319-6915-4f6f-a1b7-61a705b72927_target.jpg (deflated 0%)\n",
+      "  adding: submit/5d578497-80d5-4844-808e-6de88900773b_target.jpg (deflated 1%)\n",
+      "  adding: submit/7cfd12a4-1384-43e3-b987-551b59cf1c6d_target.jpg (deflated 0%)\n",
+      "  adding: submit/5f7705b8-f039-48ce-9901-3d349030c0c2_target.jpg (deflated 0%)\n",
+      "  adding: submit/93e57a0a-a229-4e74-a415-db48722a8247_target.jpg (deflated 0%)\n",
+      "  adding: submit/15b3faf8-53c2-4d36-9d9b-d1eb46a95567_target.jpg (deflated 1%)\n",
+      "  adding: submit/e1c2b325-0e9b-4e67-8a11-2d9a3c84e58e_target.jpg (deflated 0%)\n",
+      "  adding: submit/822c676e-3c76-422e-a9e1-468eec32e5ed_target.jpg (deflated 1%)\n",
+      "  adding: submit/14af5a52-9129-4949-b063-e042559551eb_target.jpg (deflated 0%)\n",
+      "  adding: submit/84ad96aa-85e3-43c8-83d6-aa977c3a5c35_target.jpg (deflated 0%)\n",
+      "  adding: submit/9b3f02a4-f369-4744-81d3-9b5e21eb99d3_target.jpg (deflated 0%)\n",
+      "  adding: submit/d14800b0-3358-4bb6-8e3e-60f8bdbe53c1_target.jpg (deflated 0%)\n",
+      "  adding: submit/573d698f-fcec-4837-88a1-d6a00cfaf562_target.jpg (deflated 0%)\n",
+      "  adding: submit/520edd7d-b43c-4fd1-9315-e2b492a7bd86_target.jpg (deflated 0%)\n",
+      "  adding: submit/f4d68165-203d-4a65-a13a-0b1aa2253711_target.jpg (deflated 0%)\n",
+      "  adding: submit/a10d3db0-c5ce-465a-8ffa-c6100773cc9c_target.jpg (deflated 1%)\n",
+      "  adding: submit/df10c5f7-8d56-404c-a79b-af6534bc04fa_target.jpg (deflated 0%)\n",
+      "  adding: submit/1bb7cd20-049a-47ae-be3f-2bca22fc4d45_target.jpg (deflated 0%)\n",
+      "  adding: submit/ff92199b-91f7-40f0-b700-82076a2b02e6_target.jpg (deflated 0%)\n",
+      "  adding: submit/7154b3c3-ca8e-4f69-a9d3-d1d4f8495c3e_target.jpg (deflated 0%)\n",
+      "  adding: submit/fc3d2aa0-51ac-421e-b0a3-2cefb599c6e9_target.jpg (deflated 1%)\n",
+      "  adding: submit/11df1441-4058-44f3-bd8b-cd9191127fa7_target.jpg (deflated 0%)\n",
+      "  adding: submit/b9919719-05bb-4e9c-b5c0-ee8f9b9ff6a2_target.jpg (deflated 0%)\n",
+      "  adding: submit/973d0782-d65b-4e31-aeac-31aac7e4557b_target.jpg (deflated 0%)\n",
+      "  adding: submit/275faae2-0def-42d6-99a8-0e9e2aa4b235_target.jpg (deflated 0%)\n",
+      "  adding: submit/394735d6-5712-4ee6-8a31-bada1edc3169_target.jpg (deflated 0%)\n",
+      "  adding: submit/2ba9160c-c183-408f-8d68-caeabaf741ab_target.jpg (deflated 1%)\n",
+      "  adding: submit/d348b7fd-a2c3-43fc-a1c8-b0d1e8cfe4bd_target.jpg (deflated 1%)\n",
+      "  adding: submit/554a2bf8-822a-4b7e-aab0-1c86c9af6fcd_target.jpg (deflated 1%)\n",
+      "  adding: submit/b0d463a4-1746-4396-8e52-2f79c8af3128_target.jpg (deflated 0%)\n",
+      "  adding: submit/ce51fc9c-65b2-4cb7-b364-3683bd212b51_target.jpg (deflated 0%)\n",
+      "  adding: submit/6792959a-9bfc-41c7-8d1b-032ed3e245ae_target.jpg (deflated 0%)\n",
+      "  adding: submit/f09a932a-b01d-4ad2-b4cd-ceda7b9f20c1_target.jpg (deflated 0%)\n",
+      "  adding: submit/aa37442d-e04a-4e4a-9c89-4a6a4262a627_target.jpg (deflated 1%)\n",
+      "  adding: submit/0e9c5ad8-7a3c-4e73-aff6-5f19c629a5eb_target.jpg (deflated 0%)\n",
+      "  adding: submit/b52a4099-f42f-45c8-8eb6-117fe91184a0_target.jpg (deflated 0%)\n",
+      "  adding: submit/5040c20c-76ee-4c77-87f8-8b48cb2bf199_target.jpg (deflated 0%)\n",
+      "  adding: submit/d6c23584-c39e-48f4-9b60-c45522b3bb7b_target.jpg (deflated 0%)\n",
+      "  adding: submit/1d915773-3e64-41a3-8041-a51451cf5d46_target.jpg (deflated 1%)\n",
+      "  adding: submit/1e12a98b-f6c5-4a98-b293-8370f2dd94ee_target.jpg (deflated 0%)\n",
+      "  adding: submit/d4711a1a-951a-4938-a1a5-a036bb190a4b_target.jpg (deflated 0%)\n",
+      "  adding: submit/333121ea-465c-425f-af4d-a62a9ea0cd66_target.jpg (deflated 0%)\n",
+      "  adding: submit/e3dabb5e-f09b-4c52-85be-81ab06d85103_target.jpg (deflated 1%)\n",
+      "  adding: submit/337dfd09-ec78-4153-89e5-8b05a1c472c6_target.jpg (deflated 0%)\n",
+      "  adding: submit/553f70c9-39b5-4662-bccb-529c131472ca_target.jpg (deflated 0%)\n",
+      "  adding: submit/3faf5415-70cd-4cf6-83f0-1b0ee5cb30f2_target.jpg (deflated 0%)\n",
+      "  adding: submit/a081b801-003c-414a-9909-519d43f5e0ec_target.jpg (deflated 0%)\n",
+      "  adding: submit/de368102-b7f3-49cb-a4b8-afe79d504d92_target.jpg (deflated 0%)\n",
+      "  adding: submit/83c82c90-b2db-4a94-abff-9140d99ea965_target.jpg (deflated 0%)\n",
+      "  adding: submit/b852515b-5ad4-4c10-8f62-98e70a7beeae_target.jpg (deflated 0%)\n",
+      "  adding: submit/746aa90c-bdda-4f69-b5bf-3eeeddd5c7f5_target.jpg (deflated 1%)\n",
+      "  adding: submit/cfe7198d-aeb8-4f16-95a5-6712073aef3d_target.jpg (deflated 0%)\n",
+      "  adding: submit/f7951082-0cc2-460d-91ba-7ff3ceecbd63_target.jpg (deflated 0%)\n",
+      "  adding: submit/ad889526-fa36-478f-8fa3-78379cd6b580_target.jpg (deflated 0%)\n",
+      "  adding: submit/901dcb18-afa6-4bea-805f-7c45a79f0c8b_target.jpg (deflated 0%)\n",
+      "  adding: submit/8756da30-00a4-4ecd-a97f-d20515a9b7e2_target.jpg (deflated 0%)\n",
+      "  adding: submit/0b2081cd-c54d-4f70-9fc5-4864af2cbf52_target.jpg (deflated 0%)\n",
+      "  adding: submit/37c9b1cc-1d82-4d80-854b-a8de92227c85_target.jpg (deflated 0%)\n",
+      "  adding: submit/90799a4d-03e7-40fa-99a3-95dcbc9e6897_target.jpg (deflated 0%)\n",
+      "  adding: submit/8d08af1a-bfa7-4f7c-93dd-5b290aaedfd1_target.jpg (deflated 0%)\n",
+      "  adding: submit/0e158897-34f9-4ae9-8aa9-11cd77542f5b_target.jpg (deflated 1%)\n",
+      "  adding: submit/dd32dd91-926b-4874-a9cf-42b5d8b57de1_target.jpg (deflated 0%)\n",
+      "  adding: submit/03785606-84b8-441f-869c-02eff56b7e63_target.jpg (deflated 0%)\n",
+      "  adding: submit/35d3db18-efcd-4196-bcf6-3119dc87844a_target.jpg (deflated 0%)\n",
+      "  adding: submit/e28181a1-b496-4267-a50a-849a04d8fbe0_target.jpg (deflated 0%)\n",
+      "  adding: submit/520c4b06-66d3-41ee-9d93-6272775377ec_target.jpg (deflated 0%)\n",
+      "  adding: submit/402c1cc1-920e-4444-83e0-5e9e317425cc_target.jpg (deflated 1%)\n",
+      "  adding: submit/9b6a84ad-15bb-4dd4-8b0e-6dae66bb59f4_target.jpg (deflated 0%)\n",
+      "  adding: submit/5492bde0-3e3e-44bd-9c06-18a9230ffb5f_target.jpg (deflated 0%)\n",
+      "  adding: submit/fd6d6977-ac55-4822-9595-7c3d24ffaa36_target.jpg (deflated 0%)\n",
+      "  adding: submit/e65c33a7-c386-4ef0-b461-f07442a45d41_target.jpg (deflated 1%)\n",
+      "  adding: submit/98a38a69-cde8-45f7-9926-28ef4e2286c3_target.jpg (deflated 1%)\n",
+      "  adding: submit/f3cdc7db-213b-4438-a7a2-f0d0a9a7c56c_target.jpg (deflated 1%)\n",
+      "  adding: submit/ca2dacf2-7f40-4872-b190-4370ad04bebf_target.jpg (deflated 0%)\n",
+      "  adding: submit/bc39bb75-d5b7-4754-bb76-089c37659b1b_target.jpg (deflated 0%)\n",
+      "  adding: submit/322e3053-34d2-4e49-bc80-0b1daf1225d8_target.jpg (deflated 0%)\n",
+      "  adding: submit/9eb1ec71-7a8b-4109-a39e-e284c214716e_target.jpg (deflated 0%)\n",
+      "  adding: submit/bdf76b5e-1323-4c05-9628-72525dc998ff_target.jpg (deflated 0%)\n",
+      "  adding: submit/9b967c09-5dbb-4971-bd9c-340ead991393_target.jpg (deflated 0%)\n",
+      "  adding: submit/d5713431-381d-4f63-a030-65f4002a7259_target.jpg (deflated 0%)\n",
+      "  adding: submit/1825e2a4-6da2-482b-80ba-3c81cd3b9325_target.jpg (deflated 1%)\n",
+      "  adding: submit/1b2bdf68-73d9-4686-b4dd-f5ba743832da_target.jpg (deflated 0%)\n",
+      "  adding: submit/6fc2d3ec-48df-4f70-9319-0c90f7e63f68_target.jpg (deflated 1%)\n",
+      "  adding: submit/c173af56-2c95-43e5-83c7-2e1314d31865_target.jpg (deflated 0%)\n",
+      "  adding: submit/e2ff1dfa-17bb-4836-a72a-8161a9f1fdae_target.jpg (deflated 1%)\n",
+      "  adding: submit/ceee26a5-b753-4bd2-8d31-8f3c8dc098bd_target.jpg (deflated 0%)\n",
+      "  adding: submit/d3e7c06d-0b07-424e-81a5-803198a0237c_target.jpg (deflated 0%)\n",
+      "  adding: submit/3b255de0-744e-48bd-9fc3-5350ee7c5c7c_target.jpg (deflated 0%)\n",
+      "  adding: submit/5a2c0fe3-9668-490f-aac2-90026c18871e_target.jpg (deflated 0%)\n",
+      "  adding: submit/baf4892b-fdbd-4b19-8b95-4603b5cdc945_target.jpg (deflated 0%)\n",
+      "  adding: submit/efae4e82-a015-46b7-a3f4-3c04142974c3_target.jpg (deflated 0%)\n",
+      "  adding: submit/d04d1d51-2bd8-4f16-9ab9-db3c13ec7df9_target.jpg (deflated 0%)\n",
+      "  adding: submit/70be9690-837f-4792-bb6e-72a45075828b_target.jpg (deflated 0%)\n",
+      "  adding: submit/e005d435-75c1-444e-ab60-0bee919f2c45_target.jpg (deflated 0%)\n",
+      "  adding: submit/4b112107-6c5d-4b91-bfb1-b374ba379563_target.jpg (deflated 0%)\n",
+      "  adding: submit/50e9fd7f-6dba-4678-99b2-e32373229448_target.jpg (deflated 1%)\n",
+      "  adding: submit/51967852-59b4-48cb-a539-436ac807b594_target.jpg (deflated 0%)\n",
+      "  adding: submit/7fcd35f8-1511-41fb-b27a-c685e49db031_target.jpg (deflated 0%)\n",
+      "  adding: submit/9df9057b-6c04-47d2-a0d7-19a22952f3c3_target.jpg (deflated 0%)\n",
+      "  adding: submit/b7d98e74-13c7-410b-bc11-b26732765ae6_target.jpg (deflated 0%)\n",
+      "  adding: submit/a94b2957-ccc0-41dc-935f-d879d4c7922d_target.jpg (deflated 0%)\n",
+      "  adding: submit/aa53e8ae-03a4-444d-a935-be4866a52632_target.jpg (deflated 0%)\n",
+      "  adding: submit/3e949f92-269e-442c-96c0-ba56da2926d1_target.jpg (deflated 0%)\n",
+      "  adding: submit/6ce02308-de0d-4265-93fa-34ca15cf4f0b_target.jpg (deflated 1%)\n",
+      "  adding: submit/ecaa211f-93c0-4f32-a569-f951f1032f70_target.jpg (deflated 0%)\n",
+      "  adding: submit/a1f1b7c1-aa48-4c7c-a7a4-6d6649ae8204_target.jpg (deflated 0%)\n",
+      "  adding: submit/d5e22f36-1357-41bc-8176-3fcae3961aa6_target.jpg (deflated 0%)\n",
+      "  adding: submit/08efd726-0c98-4017-a964-439ea2955d43_target.jpg (deflated 0%)\n",
+      "  adding: submit/7e28e172-bb6d-4a3c-a5cc-53c9a0586fdf_target.jpg (deflated 0%)\n",
+      "  adding: submit/b019bbc6-e542-4b8b-8c5a-d896b899227c_target.jpg (deflated 1%)\n",
+      "  adding: submit/f1ca47c8-cdfc-4d03-b409-0538161d1608_target.jpg (deflated 0%)\n",
+      "  adding: submit/d0f6a98d-5901-4cd3-988f-ead12b6132af_target.jpg (deflated 0%)\n",
+      "  adding: submit/5a57040e-e173-4fd2-bb47-b29615fc7cb2_target.jpg (deflated 1%)\n",
+      "  adding: submit/c3541610-df58-446e-bdfc-fe385e2d5711_target.jpg (deflated 1%)\n",
+      "  adding: submit/ede0d914-ab47-453b-b0f8-e25bb7e29548_target.jpg (deflated 1%)\n",
+      "  adding: submit/8173d2e1-0010-41af-839b-2e54836a3eb6_target.jpg (deflated 0%)\n",
+      "  adding: submit/a866ad71-16c3-459a-a2f5-b613e6415a2f_target.jpg (deflated 0%)\n",
+      "  adding: submit/d43c539a-de1e-49d0-b274-9a3c5438123d_target.jpg (deflated 0%)\n",
+      "  adding: submit/52b7c3fc-2fec-40e7-9b99-cc357c4045e7_target.jpg (deflated 0%)\n",
+      "  adding: submit/a564c14c-541e-4746-841a-b0bae5477f21_target.jpg (deflated 1%)\n",
+      "  adding: submit/2068f5cb-f5da-460d-b10d-97ad0d8f7563_target.jpg (deflated 0%)\n",
+      "  adding: submit/10b1668e-fc49-4123-9532-8a151830f062_target.jpg (deflated 1%)\n",
+      "  adding: submit/6c4da053-d7a4-424b-b2ef-7a1ae345d479_target.jpg (deflated 1%)\n",
+      "  adding: submit/e80586b0-650f-49a3-9b88-3a841bd6345e_target.jpg (deflated 1%)\n",
+      "  adding: submit/50dfe5bc-cee4-4c64-ae97-c5d0b54bfdd9_target.jpg (deflated 0%)\n",
+      "  adding: submit/6be73471-c21d-4792-b555-556e7f9a5653_target.jpg (deflated 1%)\n",
+      "  adding: submit/de68e14a-06ec-4706-9d9e-c6d0557bb6c7_target.jpg (deflated 0%)\n",
+      "  adding: submit/c2f6d1a8-9d07-4816-8baf-cdfefa9ba7bd_target.jpg (deflated 1%)\n",
+      "  adding: submit/dd6ca5da-530e-4833-9729-4ec7d9bc83a3_target.jpg (deflated 0%)\n",
+      "  adding: submit/23996514-f1de-4680-ac3f-80021ee10f86_target.jpg (deflated 0%)\n",
+      "  adding: submit/e13ee8f0-4b70-4d58-b6bc-9ebd7ad94d04_target.jpg (deflated 0%)\n",
+      "  adding: submit/14c04280-331d-431b-b787-141801c06433_target.jpg (deflated 0%)\n",
+      "  adding: submit/1ee6eea1-c574-4ee7-8e40-13fc1b73f2f1_target.jpg (deflated 1%)\n",
+      "  adding: submit/1e2442b8-da96-471d-a8da-5aff1f1d271c_target.jpg (deflated 0%)\n",
+      "  adding: submit/cbb12969-2963-418c-abbf-465532554112_target.jpg (deflated 0%)\n",
+      "  adding: submit/2b535217-b7ef-4e56-8d0e-688df1953127_target.jpg (deflated 1%)\n",
+      "  adding: submit/f7f289d6-0eb1-4451-bac7-6a976ea96974_target.jpg (deflated 0%)\n",
+      "  adding: submit/45bfafc8-5dbe-4633-a158-e27537b3c536_target.jpg (deflated 0%)\n",
+      "  adding: submit/9fbbb055-45c0-4563-8708-c1d4fe45d10c_target.jpg (deflated 0%)\n",
+      "  adding: submit/cc64a934-8a62-47db-b064-54332c014634_target.jpg (deflated 0%)\n",
+      "  adding: submit/5e9a2d55-a879-4a43-bf42-c413e946e71a_target.jpg (deflated 0%)\n",
+      "  adding: submit/32436b0d-6016-4b32-a5d7-59b5d6068fce_target.jpg (deflated 0%)\n",
+      "  adding: submit/63de367d-a5b3-4b73-8b40-6b59ab201aed_target.jpg (deflated 0%)\n",
+      "  adding: submit/034ff190-5fa4-4be8-b2f7-57331816037d_target.jpg (deflated 0%)\n",
+      "  adding: submit/e43c494f-1f41-4299-a282-54c0cc1edbb7_target.jpg (deflated 0%)\n",
+      "  adding: submit/14f2046d-7bfe-4a6f-9963-880585ddf11b_target.jpg (deflated 1%)\n",
+      "  adding: submit/03daebb4-f7bb-4623-8d8a-49c0cab1992f_target.jpg (deflated 1%)\n",
+      "  adding: submit/5178ae04-4d7a-45ae-b37f-901431794c73_target.jpg (deflated 0%)\n",
+      "  adding: submit/68e2a8ae-2251-463a-9062-6d34fa378870_target.jpg (deflated 0%)\n",
+      "  adding: submit/0093a84b-cda3-40a2-a937-fa7153afb42a_target.jpg (deflated 0%)\n",
+      "  adding: submit/934a1807-3ec2-4557-ba31-5582d1cad689_target.jpg (deflated 1%)\n",
+      "  adding: submit/8fdb5bae-a7aa-4d90-b46d-8074db43523a_target.jpg (deflated 1%)\n",
+      "  adding: submit/e59c8eab-c430-4bab-af60-8bb6d25e0857_target.jpg (deflated 1%)\n",
+      "  adding: submit/87c583e8-6f21-4825-b1be-a834e63bd3d7_target.jpg (deflated 0%)\n",
+      "  adding: submit/1f37791a-f0f2-4e37-bda2-13c3e270d5f6_target.jpg (deflated 0%)\n",
+      "  adding: submit/5ec68667-dc0f-4b24-84a6-9467f9b64260_target.jpg (deflated 0%)\n",
+      "  adding: submit/17677107-a781-4112-ac4f-af001c9556c2_target.jpg (deflated 0%)\n",
+      "  adding: submit/759a96d3-3c1d-406b-8c6b-b693ba45e801_target.jpg (deflated 0%)\n",
+      "  adding: submit/e00efc92-c936-4a57-a41d-8e90af732f13_target.jpg (deflated 1%)\n",
+      "  adding: submit/82f023bd-f698-4d8e-a0df-12373911aafc_target.jpg (deflated 1%)\n",
+      "  adding: submit/8a28d68f-e642-48bb-bc4e-cf62aade361f_target.jpg (deflated 0%)\n",
+      "  adding: submit/11bd4aa1-45e7-4ff4-b72b-970c2021286c_target.jpg (deflated 0%)\n",
+      "  adding: submit/770e0b6d-6c82-42bd-a582-dd9a73ad2885_target.jpg (deflated 0%)\n",
+      "  adding: submit/99cad1e1-bbdd-4ad8-bd80-be60867887d7_target.jpg (deflated 0%)\n",
+      "  adding: submit/f93d639a-1876-4b3c-a230-b4533d37a649_target.jpg (deflated 1%)\n",
+      "  adding: submit/cdb88088-222c-4ac9-89e0-0d715fc5cc7c_target.jpg (deflated 0%)\n",
+      "  adding: submit/7a124dc4-1dcf-4481-81ec-2ef2444effbe_target.jpg (deflated 0%)\n",
+      "  adding: submit/e912b1bf-0b04-46b6-9920-828b28c818c4_target.jpg (deflated 0%)\n",
+      "  adding: submit/76ba66cd-869d-4ad3-8d7e-953cf2996c7d_target.jpg (deflated 0%)\n",
+      "  adding: submit/424185e5-7766-4027-951b-63e32716d23a_target.jpg (deflated 0%)\n",
+      "  adding: submit/1b1d29a7-da2b-41c5-8a48-418ba611de95_target.jpg (deflated 0%)\n",
+      "  adding: submit/cceb81ed-28d7-4797-b96e-26a08a8c6963_target.jpg (deflated 0%)\n",
+      "  adding: submit/4a98e94a-b5cf-4606-b270-13f3dc1eb4b4_target.jpg (deflated 0%)\n",
+      "  adding: submit/5e516060-5989-41df-8959-c77fcd6674c9_target.jpg (deflated 1%)\n",
+      "  adding: submit/7708d6f6-5a17-42ad-9f0f-cff55c9ce21d_target.jpg (deflated 0%)\n",
+      "  adding: submit/4648e727-af4e-479b-99d5-011b54d84aed_target.jpg (deflated 0%)\n",
+      "  adding: submit/4f8d59f7-19bb-4f56-b0a8-a3ccfabf2b5a_target.jpg (deflated 1%)\n",
+      "  adding: submit/32c09b69-c6ef-48d1-b0a1-a44b0025fc55_target.jpg (deflated 1%)\n",
+      "  adding: submit/90df02ad-7d87-4c62-a734-885b3e9c67dd_target.jpg (deflated 0%)\n",
+      "  adding: submit/fb1398e6-58aa-4959-ad4c-7940cff9dbc8_target.jpg (deflated 0%)\n",
+      "  adding: submit/6f0289d4-9dcf-4b2a-b5f5-d88410d1c409_target.jpg (deflated 0%)\n",
+      "  adding: submit/5d92b2e9-ad24-4d34-bd12-9c1ea35de8fc_target.jpg (deflated 0%)\n",
+      "  adding: submit/aae428c5-834d-4652-bb8a-aa2f9487f15a_target.jpg (deflated 1%)\n",
+      "  adding: submit/a8922785-5120-4938-905f-e2b5a220400b_target.jpg (deflated 0%)\n",
+      "  adding: submit/d83d2858-8597-447b-9fb8-0649cd535d28_target.jpg (deflated 0%)\n",
+      "  adding: submit/138279ec-13e5-47b6-a290-96b984e26655_target.jpg (deflated 1%)\n",
+      "  adding: submit/c1925eb9-a948-45e1-814d-789e7e97598a_target.jpg (deflated 0%)\n",
+      "  adding: submit/9ba52778-6b30-4ddb-9a59-c85db557df0b_target.jpg (deflated 0%)\n",
+      "  adding: submit/d374e7f9-d0c7-4e0c-866a-7bb709c4b8c8_target.jpg (deflated 0%)\n",
+      "  adding: submit/fb627e6b-f4b3-413c-bdfb-9391a5600f7e_target.jpg (deflated 0%)\n",
+      "  adding: submit/139c9371-8ca6-43dc-91b5-f9371fae9fe6_target.jpg (deflated 0%)\n",
+      "  adding: submit/f330560d-ebc5-40f7-a379-e69c4c9e3804_target.jpg (deflated 1%)\n",
+      "  adding: submit/0d12136f-058f-4386-9cbc-325b79ab98ac_target.jpg (deflated 0%)\n",
+      "  adding: submit/e162d8ef-2d77-491b-a7cb-11b869e2d58a_target.jpg (deflated 0%)\n",
+      "  adding: submit/50f870be-1ab5-49a3-a4b1-66197a108739_target.jpg (deflated 0%)\n",
+      "  adding: submit/2e59463f-4753-4921-b1f8-412891ac0a80_target.jpg (deflated 1%)\n",
+      "  adding: submit/c58db2ab-0260-4224-ae06-cb4bb9a1a579_target.jpg (deflated 0%)\n",
+      "  adding: submit/27bd0075-a610-4379-95fe-171fbd15fe86_target.jpg (deflated 0%)\n",
+      "  adding: submit/42d351b3-957f-4c74-9d65-3e2cd82f62f7_target.jpg (deflated 0%)\n",
+      "  adding: submit/e4504c7f-8bb8-426a-9d04-d9efc6ef5b7a_target.jpg (deflated 0%)\n",
+      "  adding: submit/82454119-3fe2-43af-bbe0-234454de3f4b_target.jpg (deflated 0%)\n",
+      "  adding: submit/be8ee2e7-09a0-4433-8e02-47004215ca66_target.jpg (deflated 0%)\n",
+      "  adding: submit/3e94babe-4d0a-4714-abd9-1c8469572203_target.jpg (deflated 1%)\n",
+      "  adding: submit/99cf8890-b01a-41c7-85bd-3f858151e516_target.jpg (deflated 0%)\n",
+      "  adding: submit/539291fe-f8d1-4688-8be0-de830fff1a4f_target.jpg (deflated 0%)\n",
+      "  adding: submit/bf14d596-32fe-4327-a6a2-47fcc81d820a_target.jpg (deflated 0%)\n",
+      "  adding: submit/51c41ea4-642c-45ed-9ad0-5e951102e825_target.jpg (deflated 1%)\n",
+      "  adding: submit/963cbb39-2abf-47bd-8ebe-b8c8de354b6f_target.jpg (deflated 0%)\n",
+      "  adding: submit/06cb89d5-1423-419c-81dc-f51c381e6411_target.jpg (deflated 0%)\n",
+      "  adding: submit/1bcafef9-9b31-4df3-b2ed-dce26125ce67_target.jpg (deflated 0%)\n",
+      "  adding: submit/14a36c53-dd23-4075-b22a-b52fe3c96c0f_target.jpg (deflated 0%)\n",
+      "  adding: submit/3f07bccd-1a4f-462f-9e2a-29b42f252210_target.jpg (deflated 0%)\n",
+      "  adding: submit/ae02629a-674e-4cee-b880-04071ff0f0a6_target.jpg (deflated 0%)\n",
+      "  adding: submit/0beaecc0-7977-4993-8957-dc2fec5ec774_target.jpg (deflated 0%)\n",
+      "  adding: submit/164d27ef-140f-4702-8ab4-5cc170028164_target.jpg (deflated 1%)\n",
+      "  adding: submit/fd628e91-99e5-4e16-b36c-014abd45eb02_target.jpg (deflated 0%)\n",
+      "  adding: submit/440ffadb-6645-49b2-90f8-28a6b29c4404_target.jpg (deflated 0%)\n",
+      "  adding: submit/ac9ac61b-91f6-403b-8507-bc6217181840_target.jpg (deflated 0%)\n",
+      "  adding: submit/9e99aa31-e5dc-42a0-bc33-1c03c4c84e2a_target.jpg (deflated 1%)\n",
+      "  adding: submit/316e7762-0128-4af5-aa67-f02bdf0731a5_target.jpg (deflated 1%)\n",
+      "  adding: submit/994b18da-1b79-409f-8b1b-d67858d702b0_target.jpg (deflated 1%)\n",
+      "  adding: submit/a71cfd8d-f658-4ebf-88db-ef354c5f4dd7_target.jpg (deflated 0%)\n",
+      "  adding: submit/0488d87a-7d5d-4491-9cce-1a3533ccd5dc_target.jpg (deflated 0%)\n",
+      "  adding: submit/fa0358d0-8958-4837-8ea1-dc6348cd15f2_target.jpg (deflated 0%)\n",
+      "  adding: submit/390e15c1-7050-4ae1-8982-38aa17ce3d3b_target.jpg (deflated 0%)\n",
+      "  adding: submit/d501e79e-3cfe-42eb-a6d6-e66d3d422a3e_target.jpg (deflated 0%)\n",
+      "  adding: submit/87102cac-6999-4fee-8a99-78850eeeb74f_target.jpg (deflated 0%)\n",
+      "  adding: submit/4a771fa4-aa20-42f4-8772-5213064b1958_target.jpg (deflated 1%)\n",
+      "  adding: submit/2b69b013-ddbc-415f-9ab1-7f8133662bbd_target.jpg (deflated 1%)\n",
+      "  adding: submit/51a5ffae-af47-4798-9ae3-0b34b39eeb01_target.jpg (deflated 0%)\n",
+      "  adding: submit/87eeb895-a9f5-49c4-ba9e-281fa319e4ed_target.jpg (deflated 0%)\n",
+      "  adding: submit/1b290b6c-953a-49c0-ae55-ee32f3606cc1_target.jpg (deflated 0%)\n",
+      "  adding: submit/d3d0939b-842e-4fd5-8675-92210bfc02fc_target.jpg (deflated 0%)\n",
+      "  adding: submit/7418ad60-6f8e-43b2-ae16-1c6418173789_target.jpg (deflated 0%)\n",
+      "  adding: submit/71c384c0-0352-4bef-9a02-cdb9c43c2e75_target.jpg (deflated 0%)\n",
+      "  adding: submit/1089abac-0e03-42eb-9706-8f914bdbe5fd_target.jpg (deflated 0%)\n",
+      "  adding: submit/d84a4ece-fbd8-4569-868a-f2a86ad42276_target.jpg (deflated 1%)\n",
+      "  adding: submit/639467c1-8030-4b00-a4c5-48ab72f6e629_target.jpg (deflated 1%)\n",
+      "  adding: submit/3dca03f4-9dd5-430b-a35a-8d9ae99ae303_target.jpg (deflated 1%)\n",
+      "  adding: submit/aca36df7-86c2-4bd8-91a5-f2c1f02b88ce_target.jpg (deflated 0%)\n",
+      "  adding: submit/68c3871b-4134-48ac-8c53-2d2cca8dd3dc_target.jpg (deflated 0%)\n",
+      "  adding: submit/3058804c-0c96-4ba0-b958-f0dd17525ccb_target.jpg (deflated 1%)\n",
+      "  adding: submit/eb5e081e-7fab-4a9a-b06f-7ca9c6fe2a7f_target.jpg (deflated 0%)\n",
+      "  adding: submit/ce7bebf1-4f5a-40dd-b36f-1c04282b5da6_target.jpg (deflated 0%)\n",
+      "  adding: submit/627ee157-6135-4ed0-acd2-e3c906ef2a2b_target.jpg (deflated 0%)\n",
+      "  adding: submit/752b9926-e9ab-42ae-9756-b69faf200d29_target.jpg (deflated 0%)\n",
+      "  adding: submit/ca17f4ac-04b2-4f32-a84c-9a57de1d4d28_target.jpg (deflated 0%)\n",
+      "  adding: submit/8e27ae97-1ea8-4159-b1d5-05371d70b538_target.jpg (deflated 1%)\n",
+      "  adding: submit/9e78047d-6c44-47b1-b78a-7306a540b43c_target.jpg (deflated 1%)\n",
+      "  adding: submit/37da4c74-4e10-4d78-8ce5-142cc426aee0_target.jpg (deflated 0%)\n",
+      "  adding: submit/b2a36d1b-0c7f-4104-9909-3b1095760431_target.jpg (deflated 0%)\n",
+      "  adding: submit/a8df3694-1955-4f49-ad54-87e47193ea24_target.jpg (deflated 0%)\n",
+      "  adding: submit/e50d3301-7120-42a7-97e4-f2bbf71ede42_target.jpg (deflated 1%)\n",
+      "  adding: submit/b9a07ac8-ac7d-4974-84c9-3ea37df9c0c6_target.jpg (deflated 0%)\n",
+      "  adding: submit/6cdc5a10-54ca-40e7-821e-62e255c9fe57_target.jpg (deflated 0%)\n",
+      "  adding: submit/f209bd54-b0f4-4c9f-87a1-cbc54555d164_target.jpg (deflated 1%)\n",
+      "  adding: submit/8260b7fd-3018-4a74-bc6f-8b730a1c723a_target.jpg (deflated 0%)\n",
+      "  adding: submit/9f0ad927-c753-46b9-b1d1-3dde066c5675_target.jpg (deflated 1%)\n",
+      "  adding: submit/1a0c979f-c2fd-4c29-8525-e6385415bee8_target.jpg (deflated 0%)\n",
+      "  adding: submit/543c199a-b034-41a9-b7cd-ea34264c3554_target.jpg (deflated 0%)\n",
+      "  adding: submit/0a6cec2f-d8ed-47e2-b2d4-6d713e2762f5_target.jpg (deflated 0%)\n",
+      "  adding: submit/ba70f16f-b70c-430b-84bf-76fd380d5fc4_target.jpg (deflated 0%)\n",
+      "  adding: submit/a0d98ade-7961-4624-9abb-9d0bb3522234_target.jpg (deflated 0%)\n",
+      "  adding: submit/9c0cf88f-5599-41a8-ad75-557829000e6e_target.jpg (deflated 0%)\n",
+      "  adding: submit/12bc2258-ffd0-4632-989a-395afa5f4ec7_target.jpg (deflated 0%)\n",
+      "  adding: submit/eabc6dd5-77bc-4e3e-a36e-a39609fa43a9_target.jpg (deflated 0%)\n",
+      "  adding: submit/13a823ae-98fb-435a-a32e-6112e7e213a2_target.jpg (deflated 1%)\n",
+      "  adding: submit/1d8d6cd6-1e7f-490f-a10c-6c88fb739b16_target.jpg (deflated 1%)\n",
+      "  adding: submit/95396bfa-72d2-4634-8278-89487b4a84ef_target.jpg (deflated 0%)\n",
+      "  adding: submit/4a4e6370-3f3f-470c-821b-84c227a6d601_target.jpg (deflated 1%)\n",
+      "  adding: submit/53bf3913-2775-4b89-a96f-2fee2fb4e23d_target.jpg (deflated 1%)\n",
+      "  adding: submit/2a5230e4-9276-4f89-ba2c-ad98cbeaed7d_target.jpg (deflated 0%)\n",
+      "  adding: submit/56cf78bb-aba0-4f4e-9680-2285505d3b3b_target.jpg (deflated 0%)\n",
+      "  adding: submit/c5a81007-824b-42e8-a80b-4ad10aae1341_target.jpg (deflated 0%)\n",
+      "  adding: submit/8a90d6b6-f992-4da6-a331-27a953564f25_target.jpg (deflated 1%)\n",
+      "  adding: submit/84607aeb-48e3-48a7-b6b4-119f3ab5538d_target.jpg (deflated 0%)\n",
+      "  adding: submit/8f7221df-0ba8-476a-93d1-303d02782d40_target.jpg (deflated 0%)\n",
+      "  adding: submit/887fa59d-dfd2-4815-a43b-0effa5feba39_target.jpg (deflated 1%)\n",
+      "  adding: submit/f5e61dc4-a415-4eb4-a398-3ee0cde4e078_target.jpg (deflated 0%)\n",
+      "  adding: submit/de5d690e-5803-4f06-9270-3f40ee06c115_target.jpg (deflated 1%)\n",
+      "  adding: submit/1420b810-7f03-4230-bafa-1528d112a436_target.jpg (deflated 0%)\n",
+      "  adding: submit/b2e551c5-fbdf-437c-a4d9-0534843b6899_target.jpg (deflated 0%)\n",
+      "  adding: submit/7a3c4aa9-8042-4f02-9bfa-beb27fd2378c_target.jpg (deflated 0%)\n",
+      "  adding: submit/d9e68169-eb91-4d92-873e-816026f63ea1_target.jpg (deflated 0%)\n",
+      "  adding: submit/28d2edb3-d329-4953-b2d6-367cd35ed73b_target.jpg (deflated 0%)\n",
+      "  adding: submit/f82ecb25-a477-4ff5-bad8-69f05f7e90a4_target.jpg (deflated 0%)\n",
+      "  adding: submit/c85f8ec1-c558-4e49-a249-0c30a63a20d9_target.jpg (deflated 0%)\n",
+      "  adding: submit/fedb0a58-59a2-4da0-9ec9-ca2fc1dfc236_target.jpg (deflated 0%)\n",
+      "  adding: submit/26bfd268-f857-493e-ba69-17fd8e48bee4_target.jpg (deflated 1%)\n",
+      "  adding: submit/185933dc-c193-4986-93b6-329032dd71f2_target.jpg (deflated 0%)\n",
+      "  adding: submit/daecd78b-c572-45ec-85bf-024f925a7626_target.jpg (deflated 0%)\n",
+      "  adding: submit/d91d2399-9f96-4b3f-9048-9febea9c639b_target.jpg (deflated 0%)\n",
+      "  adding: submit/a0ae570b-f059-44da-a904-35549b5fd82a_target.jpg (deflated 0%)\n",
+      "  adding: submit/bc7b10ae-67b4-41da-9805-da82ba4a40cf_target.jpg (deflated 1%)\n",
+      "  adding: submit/ea6d9690-33eb-432a-b44a-06f9cfdd7836_target.jpg (deflated 0%)\n",
+      "  adding: submit/3eaba32e-446d-40f2-ac0e-28bb36cab465_target.jpg (deflated 0%)\n",
+      "  adding: submit/d5d3a22a-a024-45e0-a388-64f7c6e140cc_target.jpg (deflated 0%)\n",
+      "  adding: submit/8ccd1056-3af3-40ee-8811-694129d1cfd2_target.jpg (deflated 1%)\n",
+      "  adding: submit/66bda9c0-fd9d-4ce1-845a-36abc6ed5abe_target.jpg (deflated 0%)\n",
+      "  adding: submit/132d5908-22ef-404c-b488-effb682a0a94_target.jpg (deflated 0%)\n",
+      "  adding: submit/76237913-1e77-439f-9406-26d1c61de501_target.jpg (deflated 0%)\n",
+      "  adding: submit/c3d141e3-a4c4-4152-880a-b34524a04815_target.jpg (deflated 0%)\n",
+      "  adding: submit/8a0dd6ac-33b8-4e93-8399-8e380e9db5dd_target.jpg (deflated 0%)\n",
+      "  adding: submit/77c9ab2c-a556-4e4b-8e92-a99dd4b5f471_target.jpg (deflated 0%)\n",
+      "  adding: submit/cebe596f-e55b-45e9-bfba-2b803af3713c_target.jpg (deflated 1%)\n",
+      "  adding: submit/e03f8e81-dee9-4227-b437-14ac3dbe00ef_target.jpg (deflated 1%)\n",
+      "  adding: submit/44b2739e-cef8-4e98-9275-15100ea62a82_target.jpg (deflated 0%)\n",
+      "  adding: submit/20f9de86-cce1-4631-8e94-44cb7f0049df_target.jpg (deflated 0%)\n",
+      "  adding: submit/401b465a-5801-4fa6-ab1b-c7ed863794c0_target.jpg (deflated 0%)\n",
+      "  adding: submit/844edf5a-1bb7-434f-9300-d40f211b59d0_target.jpg (deflated 0%)\n",
+      "  adding: submit/61dafd50-c744-4e34-a9f4-4c042cdcdd28_target.jpg (deflated 0%)\n",
+      "  adding: submit/6763275a-4a6a-4316-89df-8fa4fef47173_target.jpg (deflated 0%)\n",
+      "  adding: submit/c5cb4f71-d0aa-48ef-a469-a066fd60f415_target.jpg (deflated 1%)\n",
+      "  adding: submit/cabbcc71-b42c-45c4-b5e3-c2b4a2bf159b_target.jpg (deflated 0%)\n",
+      "  adding: submit/12f82ddc-b0c5-4929-807b-be37637e50e6_target.jpg (deflated 0%)\n",
+      "  adding: submit/62a495af-563a-4890-8eb0-3319786db16b_target.jpg (deflated 0%)\n",
+      "  adding: submit/d3b8c257-765b-4dec-ada9-5941205185e0_target.jpg (deflated 0%)\n",
+      "  adding: submit/b4df766f-5c2d-4154-943e-a04516c90026_target.jpg (deflated 1%)\n",
+      "  adding: submit/88eda605-5543-43c8-bce9-a0407508a0c1_target.jpg (deflated 0%)\n",
+      "  adding: submit/32360762-1e8e-4637-8fbe-d99a1fb8604c_target.jpg (deflated 0%)\n",
+      "  adding: submit/1832fab4-7aac-47e3-b008-336eeed7d90a_target.jpg (deflated 1%)\n",
+      "  adding: submit/5ffd2900-26a0-45e6-b60d-f185f0b4ff10_target.jpg (deflated 1%)\n",
+      "  adding: submit/5549baf7-81ae-44e0-b5d9-d7657289aaf0_target.jpg (deflated 1%)\n",
+      "  adding: submit/d4fe942f-3b0b-49f5-ae98-f0253740e084_target.jpg (deflated 0%)\n",
+      "  adding: submit/8dd77e82-1987-4a83-87c9-4d5887ab41a0_target.jpg (deflated 1%)\n",
+      "  adding: submit/e223af2f-bcb6-4edc-9baf-6fe5d4aa903a_target.jpg (deflated 1%)\n",
+      "  adding: submit/8fc4e405-dc05-4ee5-af8f-049df9c5bc04_target.jpg (deflated 0%)\n",
+      "  adding: submit/9ba992df-e91f-41ac-9517-0e4515db5d4f_target.jpg (deflated 0%)\n",
+      "  adding: submit/98bb2980-e305-4ad3-9358-8294f78eea2d_target.jpg (deflated 0%)\n",
+      "  adding: submit/eb8616bb-5860-4f15-b749-308a97cceb60_target.jpg (deflated 0%)\n",
+      "  adding: submit/6104d25a-a5e3-4e03-8643-109fdeead26c_target.jpg (deflated 0%)\n",
+      "  adding: submit/744ebb55-4f8d-411b-8194-fb9f8c8fea97_target.jpg (deflated 1%)\n",
+      "  adding: submit/d46b00ce-783b-40d2-9cfe-86ea548d389b_target.jpg (deflated 0%)\n",
+      "  adding: submit/30e42f67-9c41-4999-ad0b-a202a3bb649f_target.jpg (deflated 0%)\n",
+      "  adding: submit/25850c8a-ac73-4616-af08-99e015e868b4_target.jpg (deflated 1%)\n",
+      "  adding: submit/5849e2e2-4aa7-4403-825a-f91611265e1f_target.jpg (deflated 0%)\n",
+      "  adding: submit/08c2a002-fa62-4188-ac05-f076bb298337_target.jpg (deflated 0%)\n",
+      "  adding: submit/78ba94e1-1b8d-4e4b-810a-5f2e6caa33f8_target.jpg (deflated 0%)\n",
+      "  adding: submit/3bd32f0a-0882-4132-89b4-f94573e69332_target.jpg (deflated 0%)\n",
+      "  adding: submit/b971cf14-0668-4be3-a270-b6c19e60d010_target.jpg (deflated 0%)\n",
+      "  adding: submit/0d97d2f4-4af3-4e7f-b932-01e55e906c31_target.jpg (deflated 0%)\n",
+      "  adding: submit/76fdeed3-9193-4c07-b116-f80a0ecd2742_target.jpg (deflated 1%)\n",
+      "  adding: submit/279ef4d5-9a0e-4486-8fa3-e73b19ec71b2_target.jpg (deflated 0%)\n",
+      "  adding: submit/a571f83b-ec60-40d6-88de-2bae8a13ad93_target.jpg (deflated 0%)\n",
+      "  adding: submit/776ad2f1-10d7-4ea8-aefb-1ddb9e57fe0a_target.jpg (deflated 0%)\n",
+      "  adding: submit/08eb58a4-42fe-426e-850c-e574a8f1998e_target.jpg (deflated 0%)\n",
+      "  adding: submit/f8eaa8d3-b440-4701-bcb5-12df6b15f6e7_target.jpg (deflated 0%)\n",
+      "  adding: submit/644e83bb-95e8-48a2-b212-672c282f85d4_target.jpg (deflated 0%)\n",
+      "  adding: submit/2cb70c0f-fa87-40ac-9876-f348164530eb_target.jpg (deflated 0%)\n",
+      "  adding: submit/3b652577-f4dd-4898-a05d-58acb19f528b_target.jpg (deflated 0%)\n",
+      "  adding: submit/a4283863-5497-4b43-9e58-ed5a18525c5d_target.jpg (deflated 0%)\n",
+      "  adding: submit/73bb2aa9-8271-4c4d-8cb7-35219a6d1301_target.jpg (deflated 0%)\n",
+      "  adding: submit/ef819c74-f411-4c9c-ad63-d674b1bd5ac0_target.jpg (deflated 1%)\n",
+      "  adding: submit/55e69322-e84b-497c-a780-81fd05f99d17_target.jpg (deflated 1%)\n",
+      "  adding: submit/8b91d4de-0247-49a5-897d-580f13000a54_target.jpg (deflated 0%)\n",
+      "  adding: submit/5e8e052a-076b-4b18-b494-c46c7baba883_target.jpg (deflated 0%)\n",
+      "  adding: submit/0553ad91-87d8-4ec2-bee0-206741e8285e_target.jpg (deflated 0%)\n",
+      "  adding: submit/07368d78-ff6a-46d3-bf19-df28fe566880_target.jpg (deflated 0%)\n",
+      "  adding: submit/b0fac900-a06d-42ba-a506-3911811ef925_target.jpg (deflated 0%)\n",
+      "  adding: submit/9eccd5db-6686-464f-b339-996203a983e2_target.jpg (deflated 1%)\n",
+      "  adding: submit/33fb891a-8644-4af8-941a-ef9fc34fb2df_target.jpg (deflated 0%)\n",
+      "  adding: submit/9758a301-6f7f-4b51-a89e-bc05d8b0dd2c_target.jpg (deflated 0%)\n",
+      "  adding: submit/da391674-ab9e-4cea-8e40-13d11ee59b18_target.jpg (deflated 0%)\n",
+      "  adding: submit/1b7eb653-ebaf-4afd-a3ee-36ecadbde6ba_target.jpg (deflated 0%)\n",
+      "  adding: submit/2a37c963-7dae-4b3e-b0d6-0fd0ba413269_target.jpg (deflated 0%)\n",
+      "  adding: submit/3279c649-7bce-45d4-9527-9e04aeca38e0_target.jpg (deflated 0%)\n",
+      "  adding: submit/20f46f82-b7f2-464a-a167-4d0a927e1260_target.jpg (deflated 0%)\n",
+      "  adding: submit/80446915-c9a4-46a8-842d-2ecc2046b8e2_target.jpg (deflated 0%)\n",
+      "  adding: submit/8f0d7051-d007-4527-b2be-eba9451dda56_target.jpg (deflated 0%)\n",
+      "  adding: submit/1ea7f7c0-1676-4f06-93b2-99b2a3d21e7c_target.jpg (deflated 0%)\n",
+      "  adding: submit/afdc43dd-96a0-4f69-9b5a-300702e4bcc9_target.jpg (deflated 0%)\n",
+      "  adding: submit/cb3fad3c-5bea-48ac-a486-80d1013dd674_target.jpg (deflated 1%)\n",
+      "  adding: submit/f6bba06b-1257-4f44-a400-129489a48c63_target.jpg (deflated 0%)\n",
+      "  adding: submit/f8d30b27-0453-43aa-a5bb-a36dfe396577_target.jpg (deflated 1%)\n",
+      "  adding: submit/51dd8661-becc-459d-a70e-c44ac1d2233e_target.jpg (deflated 1%)\n",
+      "  adding: submit/e49372d5-c4f0-425e-9575-83d4cc92afb2_target.jpg (deflated 0%)\n",
+      "  adding: submit/f09dcf09-a914-40c5-8607-f581df427ce6_target.jpg (deflated 0%)\n",
+      "  adding: submit/8420a2ff-62a7-452c-b8d0-d62a542f4306_target.jpg (deflated 0%)\n",
+      "  adding: submit/b10b14fd-f6ae-4472-81da-0f481bcf3ab2_target.jpg (deflated 0%)\n",
+      "  adding: submit/c00aafaf-7017-4acb-a33b-0d9765eb6240_target.jpg (deflated 1%)\n",
+      "  adding: submit/f9137da8-35b0-455f-bbe1-55d44f869ccf_target.jpg (deflated 1%)\n",
+      "  adding: submit/42b17343-bb25-4af7-8a0c-b7db9c4dafae_target.jpg (deflated 0%)\n",
+      "  adding: submit/0a4897b3-efef-40ad-8780-181a13722f01_target.jpg (deflated 1%)\n",
+      "  adding: submit/14589079-f691-4e9a-aeb6-aaf98bf37634_target.jpg (deflated 0%)\n",
+      "  adding: submit/16c58225-baf3-44a2-a26f-625560b7f2b4_target.jpg (deflated 0%)\n",
+      "  adding: submit/4b189a3e-885f-49e0-a145-89f10f4fc9c3_target.jpg (deflated 0%)\n",
+      "  adding: submit/514a5f01-4535-420c-acc5-0ea9fb616697_target.jpg (deflated 0%)\n",
+      "  adding: submit/c92012aa-6285-4678-9536-7646388805fd_target.jpg (deflated 0%)\n",
+      "  adding: submit/e850a087-dcf6-4cba-a16c-4d47903df7ff_target.jpg (deflated 0%)\n",
+      "  adding: submit/54536580-4a21-4a75-918e-d4f1bf99d901_target.jpg (deflated 0%)\n",
+      "  adding: submit/acf2c66a-041d-4e74-9cd6-bf90ad23a94d_target.jpg (deflated 1%)\n",
+      "  adding: submit/38230910-8092-444b-ad32-c130d285b4ac_target.jpg (deflated 1%)\n",
+      "  adding: submit/378cba57-5930-4ec4-a3b5-f33889041fa5_target.jpg (deflated 1%)\n",
+      "  adding: submit/60c02462-aabb-40b3-bb98-9cd28b0520a8_target.jpg (deflated 1%)\n",
+      "  adding: submit/5c9ab41b-76f8-4b90-88a4-e847567ae1dd_target.jpg (deflated 0%)\n",
+      "  adding: submit/43747eb9-7c5f-4aed-8982-1ab0b38c508c_target.jpg (deflated 1%)\n",
+      "  adding: submit/fb638042-a13c-4b63-bbd1-ace6b9f087c5_target.jpg (deflated 0%)\n",
+      "  adding: submit/25f32268-e8e2-4e30-83d7-53e6245bb76b_target.jpg (deflated 1%)\n",
+      "  adding: submit/629bcff7-38f1-49ab-ac92-73a2dc40bbb5_target.jpg (deflated 0%)\n",
+      "  adding: submit/3109d34a-8683-4645-9085-d62df471f6ae_target.jpg (deflated 0%)\n",
+      "  adding: submit/c546199d-a1ee-4e91-a3ca-350b4c96b4ef_target.jpg (deflated 0%)\n",
+      "  adding: submit/ab451bb0-adea-4624-84aa-64c61c27a28e_target.jpg (deflated 0%)\n",
+      "  adding: submit/eddaa060-5446-46de-92e7-9000b811b23b_target.jpg (deflated 1%)\n",
+      "  adding: submit/39d0d8f9-553f-4173-9ccb-4036f4da191e_target.jpg (deflated 1%)\n",
+      "  adding: submit/50562b19-b584-4a75-8533-f66481b55993_target.jpg (deflated 1%)\n",
+      "  adding: submit/315dc772-dd1b-4542-a56b-3ce83e1752f6_target.jpg (deflated 0%)\n",
+      "  adding: submit/470a29d6-9ee7-45f7-9341-32a189e7bc0a_target.jpg (deflated 0%)\n",
+      "  adding: submit/3b075589-8402-4671-9101-1106d87a4494_target.jpg (deflated 0%)\n",
+      "  adding: submit/5d0a1538-2fd0-47c7-9d90-86fa3b375b21_target.jpg (deflated 0%)\n",
+      "  adding: submit/f0f0e28b-7633-48aa-9116-e37ebba68820_target.jpg (deflated 0%)\n",
+      "  adding: submit/61b1f4cc-0e39-400b-8b68-266d598e2b13_target.jpg (deflated 1%)\n",
+      "  adding: submit/18371235-885b-4d31-93a7-a02616d08140_target.jpg (deflated 0%)\n",
+      "  adding: submit/fb821513-b03b-4697-a358-3d2a958be64a_target.jpg (deflated 0%)\n",
+      "  adding: submit/f03660a0-47a8-445b-b91b-936c8ca1772d_target.jpg (deflated 0%)\n",
+      "  adding: submit/221cd67a-2c86-4dd4-853b-e9d195ae50b8_target.jpg (deflated 1%)\n",
+      "  adding: submit/71bda853-c34c-48de-8ffd-42ca64eb93dc_target.jpg (deflated 0%)\n",
+      "  adding: submit/2013d465-b47f-4531-b3dc-aff1118cad62_target.jpg (deflated 0%)\n",
+      "  adding: submit/158189fc-df3c-48ce-8dff-03d60db8614b_target.jpg (deflated 0%)\n",
+      "  adding: submit/99768bcc-1d8e-4d32-8841-a9540705978c_target.jpg (deflated 0%)\n",
+      "  adding: submit/f759f4a8-8e12-411f-b916-d422f4afb336_target.jpg (deflated 0%)\n",
+      "  adding: submit/d649473e-3f23-4368-ba37-dc90937c3653_target.jpg (deflated 1%)\n",
+      "  adding: submit/daf3a79c-c60c-4c16-a9f3-d27015883668_target.jpg (deflated 1%)\n",
+      "  adding: submit/209874ef-59d1-42d3-a36b-1a08ccea765f_target.jpg (deflated 0%)\n",
+      "  adding: submit/9e67202e-1e8e-4597-a6c2-edb0f919ad34_target.jpg (deflated 0%)\n",
+      "  adding: submit/f03e1cb0-0420-4672-b9c8-ff53221b020f_target.jpg (deflated 0%)\n",
+      "  adding: submit/42805bd4-f349-49e9-adab-1a65382965f7_target.jpg (deflated 0%)\n",
+      "  adding: submit/275dd583-b436-438a-b492-846b950730fe_target.jpg (deflated 0%)\n",
+      "  adding: submit/914c238a-a0dd-46a2-9171-1a60f5f988b1_target.jpg (deflated 0%)\n",
+      "  adding: submit/1206fd61-b8eb-4527-85dc-357f34db33f4_target.jpg (deflated 0%)\n",
+      "  adding: submit/0d8eb890-0c08-46c9-9aa6-0622a3d41edd_target.jpg (deflated 1%)\n",
+      "  adding: submit/0b8e8bc0-de79-4fba-8245-9b85d54913cb_target.jpg (deflated 0%)\n",
+      "  adding: submit/411e9715-493c-48b5-8503-880537ea5a1f_target.jpg (deflated 0%)\n",
+      "  adding: submit/3358c121-b86c-4f16-b51d-e0c677963e9b_target.jpg (deflated 0%)\n",
+      "  adding: submit/0f9e5c90-abcb-469e-b5b1-d93d8f49c1d8_target.jpg (deflated 1%)\n",
+      "  adding: submit/7e1ad40a-6d14-4ac8-95a1-8f28041e0932_target.jpg (deflated 0%)\n",
+      "  adding: submit/d5abaa23-d17a-4325-aa0b-4f84d4576c92_target.jpg (deflated 1%)\n",
+      "  adding: submit/1dfeece9-12cd-42c0-9248-ed33b2c26a6d_target.jpg (deflated 0%)\n",
+      "  adding: submit/0755e37c-e1d1-40d6-a0bc-18e4f69bcb24_target.jpg (deflated 1%)\n",
+      "  adding: submit/58494ff7-7363-4cf3-a08c-5cce0e63d1d1_target.jpg (deflated 0%)\n",
+      "  adding: submit/45ab17ce-a658-4445-a287-ce6d81e67be4_target.jpg (deflated 1%)\n",
+      "  adding: submit/ded4bc13-3e42-46fb-ab4a-9835d71d751e_target.jpg (deflated 0%)\n",
+      "  adding: submit/17da3902-de2c-4dbe-a72a-1a63fc779833_target.jpg (deflated 0%)\n",
+      "  adding: submit/5c0f3c92-4551-4c78-9f0c-e20ed7e9f33f_target.jpg (deflated 0%)\n",
+      "  adding: submit/0b1ddee9-b85c-451b-bfab-07f82265d286_target.jpg (deflated 0%)\n",
+      "  adding: submit/ade3bcfc-507c-4ab3-a61d-70f3b028510b_target.jpg (deflated 0%)\n",
+      "  adding: submit/ef9a2cf0-4ba1-4e85-a940-5eb2f9d992bc_target.jpg (deflated 0%)\n",
+      "  adding: submit/649a7e74-83bc-4c03-b9a3-baf4dfadcb80_target.jpg (deflated 0%)\n",
+      "  adding: submit/68408086-5673-4543-8b1e-db322a2248be_target.jpg (deflated 0%)\n",
+      "  adding: submit/c20b6475-deec-4034-86b3-8ab0b681ae83_target.jpg (deflated 0%)\n",
+      "  adding: submit/5e3a1742-c085-4f18-92a4-df0c14d515d6_target.jpg (deflated 1%)\n",
+      "  adding: submit/fcb48bbc-db1b-4860-86e2-43a99175dfa2_target.jpg (deflated 0%)\n",
+      "  adding: submit/35ef9fb3-a966-475b-a300-3e54cee8abb0_target.jpg (deflated 0%)\n",
+      "  adding: submit/6fcfe6f2-0527-4c74-b6a5-74e7c8c91345_target.jpg (deflated 0%)\n",
+      "  adding: submit/e76ab0f4-a712-426b-b85e-48200167b328_target.jpg (deflated 0%)\n",
+      "  adding: submit/cfec520f-d9b5-4bd6-8e79-3d313a1dbdbc_target.jpg (deflated 0%)\n",
+      "  adding: submit/6c97be7b-6823-4dc1-a7a5-d8b50a134865_target.jpg (deflated 0%)\n",
+      "  adding: submit/9f2e6182-d83e-4fd3-9aa0-f58d3b801279_target.jpg (deflated 0%)\n",
+      "  adding: submit/34fc8c55-7560-450b-b930-9de82dfb147b_target.jpg (deflated 1%)\n",
+      "  adding: submit/38d6bbb6-f82e-4af8-9b4e-fa219139fe14_target.jpg (deflated 0%)\n",
+      "  adding: submit/0cab6e55-c5e5-47eb-bb8b-cb87ceaf27cb_target.jpg (deflated 0%)\n",
+      "  adding: submit/665246c2-e72b-4333-9ed0-fb35892375f8_target.jpg (deflated 1%)\n",
+      "  adding: submit/c7c40739-1176-40af-9efc-0bddba14f1ba_target.jpg (deflated 0%)\n",
+      "  adding: submit/d9237c65-bd5a-4887-9578-c271d4ce051e_target.jpg (deflated 0%)\n",
+      "  adding: submit/9183e89e-2ae6-4898-be5d-06124a7e9fe4_target.jpg (deflated 0%)\n",
+      "  adding: submit/1dccc26e-19f7-4b4a-8fd9-c17a3bdf3da1_target.jpg (deflated 0%)\n",
+      "  adding: submit/e2451e94-b34e-4f6a-b6c2-893b5ea4477f_target.jpg (deflated 0%)\n",
+      "  adding: submit/f7b6fa3a-4d99-4f4a-91ce-3894c1ffacf8_target.jpg (deflated 1%)\n",
+      "  adding: submit/5abe1e88-252d-4fa0-930f-e2cdcf377a6b_target.jpg (deflated 0%)\n",
+      "  adding: submit/4ab6e5cb-128b-4af8-9570-a3cac7d92db0_target.jpg (deflated 1%)\n",
+      "  adding: submit/9c590b32-0615-4798-b643-261c7c0245eb_target.jpg (deflated 0%)\n",
+      "  adding: submit/7320064e-6c61-42bb-868a-4934976f16d2_target.jpg (deflated 1%)\n",
+      "  adding: submit/e6d871d0-05d1-4d2c-a0af-aa5e3312181e_target.jpg (deflated 0%)\n",
+      "  adding: submit/5c8b03c0-fd00-49fc-bc7b-e0bee5f8616a_target.jpg (deflated 0%)\n",
+      "  adding: submit/1a99be78-f669-4690-954e-745892295af4_target.jpg (deflated 1%)\n",
+      "  adding: submit/9c6e2e9f-e97a-40e4-bd15-5bd66882f8ff_target.jpg (deflated 1%)\n",
+      "  adding: submit/37d50967-4b5b-4d03-a5eb-8eed0b3e40d3_target.jpg (deflated 0%)\n",
+      "  adding: submit/f54dd9a7-51f6-466b-9a80-e63def93a89e_target.jpg (deflated 0%)\n",
+      "  adding: submit/77c5aa38-e40c-4ade-ae9c-0cd9549b4cd0_target.jpg (deflated 0%)\n",
+      "  adding: submit/2dd19d3f-1fb4-4e23-85d9-89bc77e0fb7f_target.jpg (deflated 0%)\n",
+      "  adding: submit/8ed09075-385c-48f3-b0f0-a575828707db_target.jpg (deflated 0%)\n",
+      "  adding: submit/5bd761d4-99cc-4ff5-b8d1-857d430be0fe_target.jpg (deflated 0%)\n",
+      "  adding: submit/adc0bb7a-d8fa-4af6-8f9b-c3045b8afdbc_target.jpg (deflated 0%)\n",
+      "  adding: submit/e1c7076d-86e8-4900-bdc7-b2d00cec6975_target.jpg (deflated 0%)\n",
+      "  adding: submit/61dd6904-0502-465b-bd8f-bc16b9039a2e_target.jpg (deflated 1%)\n",
+      "  adding: submit/c9757941-184f-4ed8-bb95-f443f056003d_target.jpg (deflated 0%)\n",
+      "  adding: submit/67aa67fa-72b9-42d1-a9a0-3934abb4a2b3_target.jpg (deflated 0%)\n",
+      "  adding: submit/a7276dfb-f035-444a-a7f3-a1c5ea7a0a3b_target.jpg (deflated 0%)\n",
+      "  adding: submit/fdf4f68b-cb8b-4953-9eac-ee35bea358d7_target.jpg (deflated 1%)\n",
+      "  adding: submit/e7fc70cd-5868-4514-a6a5-8905b1c07650_target.jpg (deflated 1%)\n",
+      "  adding: submit/9c2f5e82-136d-4b3d-8d6d-a59b1f57228a_target.jpg (deflated 1%)\n",
+      "  adding: submit/46121ed6-29d8-444d-b626-40f77575e231_target.jpg (deflated 0%)\n",
+      "  adding: submit/cf044a34-642f-44ed-9730-d01962d30d2c_target.jpg (deflated 0%)\n",
+      "  adding: submit/2f3ab57e-5ade-43a7-a5d2-204b20949cc8_target.jpg (deflated 0%)\n",
+      "  adding: submit/4637a5d2-354d-4811-a5a0-015daac1420b_target.jpg (deflated 0%)\n",
+      "  adding: submit/77883386-4efc-49da-8421-df4833c19b63_target.jpg (deflated 0%)\n",
+      "  adding: submit/f259cf17-260d-44b3-8266-2828d3fdc922_target.jpg (deflated 0%)\n",
+      "  adding: submit/00827b09-79ab-40e0-aab0-4e0250a390ff_target.jpg (deflated 0%)\n",
+      "  adding: submit/3b2def73-e6a0-4a13-b32e-77c8d711ca51_target.jpg (deflated 0%)\n",
+      "  adding: submit/3fca4fd1-fbd6-4a60-ad5c-2a8be4203465_target.jpg (deflated 0%)\n",
+      "  adding: submit/78682411-fa01-4369-99df-18b6fd6d8107_target.jpg (deflated 0%)\n",
+      "  adding: submit/27014040-2786-4556-a6d1-90cbc5ad6d40_target.jpg (deflated 1%)\n",
+      "  adding: submit/169fee90-a4c9-4dc5-8d97-e682d85ee814_target.jpg (deflated 0%)\n",
+      "  adding: submit/a1c2a8e3-3d5b-4689-b249-0138047559d5_target.jpg (deflated 1%)\n",
+      "  adding: submit/d449519e-14c3-4371-b5e2-d42092feca8e_target.jpg (deflated 1%)\n",
+      "  adding: submit/b76b279a-941e-4503-a756-e58fa62484c5_target.jpg (deflated 0%)\n",
+      "  adding: submit/f4a1db2d-0774-4f03-a4d4-62899c502572_target.jpg (deflated 0%)\n",
+      "  adding: submit/0d2c6cc8-f4f2-4501-b17a-fb40ab1b415c_target.jpg (deflated 0%)\n",
+      "  adding: submit/45117a3a-8de9-43e6-8044-ffe099ee72da_target.jpg (deflated 1%)\n",
+      "  adding: submit/a9f4ec48-6e16-4d04-bede-54e101ab25d5_target.jpg (deflated 0%)\n",
+      "  adding: submit/cc6626e0-55c7-4c68-9d11-6c6de921efe3_target.jpg (deflated 1%)\n",
+      "  adding: submit/26d76781-e53c-4de7-93d5-fa6a71fb44b5_target.jpg (deflated 0%)\n",
+      "  adding: submit/1bf71f47-80bb-45f0-ac1c-119390b9a007_target.jpg (deflated 0%)\n",
+      "  adding: submit/51101df1-b794-4db4-b421-ddd91ec4c36f_target.jpg (deflated 1%)\n",
+      "  adding: submit/a443e982-b28f-4279-92f8-729910c0ced1_target.jpg (deflated 0%)\n",
+      "  adding: submit/8658d969-2eb9-4937-8531-413b60a52204_target.jpg (deflated 0%)\n",
+      "  adding: submit/bbeef421-151e-4540-b537-3f8a1822e1ad_target.jpg (deflated 0%)\n",
+      "  adding: submit/fdfed084-536d-4106-ba5d-d289ea1c0648_target.jpg (deflated 0%)\n",
+      "  adding: submit/8b695afa-20d2-4cc9-80a4-e7c0ae969e91_target.jpg (deflated 0%)\n",
+      "  adding: submit/3b120e99-9c28-4a21-a69a-14b8ad2b7b7c_target.jpg (deflated 0%)\n",
+      "  adding: submit/e40b36a0-beb7-4335-b3e2-532c96725317_target.jpg (deflated 0%)\n",
+      "  adding: submit/e0fe8425-e269-4e82-8db1-3329dd905f9e_target.jpg (deflated 0%)\n",
+      "  adding: submit/e6f36cab-81c8-4fb8-8ec1-28ce19fb9a02_target.jpg (deflated 0%)\n",
+      "  adding: submit/16f5f589-ad9e-48ee-91be-5e36105ee093_target.jpg (deflated 0%)\n",
+      "  adding: submit/b2482076-689e-4228-a99d-547b30276166_target.jpg (deflated 0%)\n",
+      "  adding: submit/4f57e819-4d1b-4138-8615-1ec95e41be2a_target.jpg (deflated 0%)\n",
+      "  adding: submit/6b22b361-cb2f-4c5b-b883-f25e782f3f03_target.jpg (deflated 0%)\n",
+      "  adding: submit/5ab1ef2b-d913-4bc1-a8e1-10a8bb465a4b_target.jpg (deflated 0%)\n",
+      "  adding: submit/e2933413-bb75-40fb-8db8-8ede0d48c74f_target.jpg (deflated 1%)\n",
+      "  adding: submit/be13279d-4d99-4756-924b-93ad25fee435_target.jpg (deflated 1%)\n",
+      "  adding: submit/da89ec06-b87d-44bb-9b4c-3b4e7101a8eb_target.jpg (deflated 0%)\n",
+      "  adding: submit/1f7739e2-ae7a-4412-91cb-fecf1a18f38e_target.jpg (deflated 1%)\n",
+      "  adding: submit/16138766-37a6-4c25-b94e-6777edfac68c_target.jpg (deflated 0%)\n",
+      "  adding: submit/649ccf52-ffaf-46f6-a8a3-1de41ed117ce_target.jpg (deflated 0%)\n",
+      "  adding: submit/e379dc70-40eb-4572-97dd-a7d51c81f489_target.jpg (deflated 1%)\n",
+      "  adding: submit/8dd173ec-633f-442d-a101-43096f0ad3a6_target.jpg (deflated 1%)\n",
+      "  adding: submit/639c704e-cf8f-4ad3-a235-7a0293c723c4_target.jpg (deflated 0%)\n",
+      "  adding: submit/c89271ba-ee21-4c85-bc01-cf92196a3367_target.jpg (deflated 0%)\n",
+      "  adding: submit/789574a1-7df4-4793-bfc3-85a2aeb53809_target.jpg (deflated 0%)\n",
+      "  adding: submit/0324366b-4a22-4607-9d4a-d13c156d2de1_target.jpg (deflated 0%)\n",
+      "  adding: submit/e3276417-ad4f-4ec0-ba3a-0caa20ef7ccb_target.jpg (deflated 0%)\n",
+      "  adding: submit/fe445d4f-98bc-495a-b03d-7e463367d89e_target.jpg (deflated 0%)\n",
+      "  adding: submit/432954be-b984-4f18-9db5-392064b9564b_target.jpg (deflated 0%)\n",
+      "  adding: submit/f5f34545-d674-4afc-9138-0d436fd25ed9_target.jpg (deflated 1%)\n",
+      "  adding: submit/b915600f-843f-4e80-9261-852aa3e98114_target.jpg (deflated 0%)\n",
+      "  adding: submit/b36535ed-8ba3-4fec-9c0f-83b8a909bb14_target.jpg (deflated 1%)\n",
+      "  adding: submit/4e388dec-f9d6-4d0b-8be2-fcb96c18f2c5_target.jpg (deflated 1%)\n",
+      "  adding: submit/b1f9091e-d2df-4144-ac35-4d499a06e431_target.jpg (deflated 0%)\n",
+      "  adding: submit/a0bd1940-2f16-4818-829c-984c4262c35a_target.jpg (deflated 0%)\n",
+      "  adding: submit/707a4b61-b99f-45c5-9094-836004766014_target.jpg (deflated 0%)\n",
+      "  adding: submit/b3574b11-7c9e-4404-b560-93a6078ebd63_target.jpg (deflated 0%)\n",
+      "  adding: submit/87ba4f09-2ad0-4df8-be64-8929ab4c041f_target.jpg (deflated 0%)\n",
+      "  adding: submit/8cd6dbe4-b3ab-436c-ba34-4690efbde4e7_target.jpg (deflated 0%)\n",
+      "  adding: submit/b938e46d-769e-4a81-ba06-2ad57c75f00a_target.jpg (deflated 1%)\n",
+      "  adding: submit/e6277493-3ade-4973-8900-eccef8801d63_target.jpg (deflated 0%)\n",
+      "  adding: submit/7a686da5-c9ef-4249-8ef3-b44f89004dcd_target.jpg (deflated 0%)\n",
+      "  adding: submit/3a0d1940-3b91-4d10-a6fe-7791f26c5511_target.jpg (deflated 0%)\n",
+      "  adding: submit/f2c05e78-85a6-4a5e-a7d2-17b38a1b27e1_target.jpg (deflated 1%)\n",
+      "  adding: submit/b1eb7d70-d753-4a24-aada-58b2f898a9e7_target.jpg (deflated 0%)\n",
+      "  adding: submit/bb2337f0-44f1-43bc-ad98-5460dc70d292_target.jpg (deflated 0%)\n",
+      "  adding: submit/6a728145-299d-4d10-9947-0acbbfd1a8e9_target.jpg (deflated 0%)\n",
+      "  adding: submit/d78e16d2-d0d1-49a6-af37-4fb8ec1aa0f1_target.jpg (deflated 0%)\n",
+      "  adding: submit/3e5acfae-57d9-4b09-bcf5-aeaa8c4c3e5d_target.jpg (deflated 0%)\n",
+      "  adding: submit/31311e86-ab00-488a-b42e-d380b0b15f25_target.jpg (deflated 1%)\n",
+      "  adding: submit/aeb3be78-3db9-4846-97de-8411a6618213_target.jpg (deflated 0%)\n",
+      "  adding: submit/542b176d-fbc2-46ea-aea0-f63a216428c0_target.jpg (deflated 0%)\n",
+      "  adding: submit/8c60cc9a-1aa8-46a8-ba1f-9bab174e1824_target.jpg (deflated 1%)\n",
+      "  adding: submit/4eaa3927-3984-4a22-bff6-fb08405db7fd_target.jpg (deflated 0%)\n",
+      "  adding: submit/003b5ef1-0731-42b1-94fd-32eeba348a37_target.jpg (deflated 0%)\n",
+      "  adding: submit/d34be448-9dc1-4733-8971-a5d72a30b4f4_target.jpg (deflated 0%)\n",
+      "  adding: submit/415899b8-a00a-4fb6-a68a-31b46c78bcdd_target.jpg (deflated 1%)\n",
+      "  adding: submit/5e76b2b0-53aa-4059-8223-26906587f330_target.jpg (deflated 1%)\n",
+      "  adding: submit/93b355b7-a19e-4a4d-83c6-a83da9ca3568_target.jpg (deflated 0%)\n",
+      "  adding: submit/c0f71b09-4dbd-4f1a-9ce3-6aacd506ea2e_target.jpg (deflated 0%)\n",
+      "  adding: submit/e7a4d282-65c2-4320-90b5-be4e4718ef8d_target.jpg (deflated 1%)\n",
+      "  adding: submit/9bfa5481-d28f-40ba-88ab-bf594d7644ec_target.jpg (deflated 0%)\n",
+      "  adding: submit/a6a209f5-071f-4da1-8d71-4a8cd134c87f_target.jpg (deflated 1%)\n",
+      "  adding: submit/444e1049-859a-4cf0-a661-fd39bfd34691_target.jpg (deflated 0%)\n",
+      "  adding: submit/272c8a08-dacb-4733-90f4-ab9919c42619_target.jpg (deflated 1%)\n",
+      "  adding: submit/c9d0302a-fd0e-4972-b405-dde50346de71_target.jpg (deflated 0%)\n",
+      "  adding: submit/11853758-754c-47e9-96dd-2592a71052a7_target.jpg (deflated 0%)\n",
+      "  adding: submit/90b537e8-0398-4897-8e76-dffd7193fbad_target.jpg (deflated 0%)\n",
+      "  adding: submit/62a1112a-7572-400f-b094-9fc0f9564da1_target.jpg (deflated 0%)\n",
+      "  adding: submit/d278b4bb-0265-4048-bdca-151b31081fff_target.jpg (deflated 0%)\n",
+      "  adding: submit/418d04b4-203c-4df8-a1bc-717da44a7bd6_target.jpg (deflated 0%)\n",
+      "  adding: submit/1c19713f-fd18-496c-945b-38f7e9f972cc_target.jpg (deflated 0%)\n",
+      "  adding: submit/3ff9cb8b-ecbc-4746-85c3-9716b952e009_target.jpg (deflated 1%)\n",
+      "  adding: submit/088738ac-59a6-4ae0-8cdd-70abe5625886_target.jpg (deflated 1%)\n",
+      "  adding: submit/7d729edb-9732-4433-a982-57f7c2e63627_target.jpg (deflated 0%)\n",
+      "  adding: submit/e20b89bb-1edc-4b49-b699-6d8292692abc_target.jpg (deflated 0%)\n",
+      "  adding: submit/a0ae7cef-cd56-4e2c-8b5f-37dcf5a4ab05_target.jpg (deflated 0%)\n",
+      "  adding: submit/547ed063-6406-4fd8-bbef-3e02e5f6b685_target.jpg (deflated 0%)\n",
+      "  adding: submit/8dd633ec-a673-42ad-9e98-9607f636636c_target.jpg (deflated 1%)\n",
+      "  adding: submit/a39cc952-df4b-458a-ab1f-dbcba3df1b34_target.jpg (deflated 0%)\n",
+      "  adding: submit/2686f453-6075-46d5-8fa0-103a15b6670e_target.jpg (deflated 1%)\n",
+      "  adding: submit/7ea8d1cf-175f-4b26-b403-b6e0387472e7_target.jpg (deflated 0%)\n",
+      "  adding: submit/f2e62bfd-0231-44f6-b543-79565767a4f0_target.jpg (deflated 0%)\n",
+      "  adding: submit/056182e2-73f2-43be-992b-c4aea0742f1f_target.jpg (deflated 1%)\n",
+      "  adding: submit/158bfb6d-7725-43e5-96e1-0fcc10ab0a15_target.jpg (deflated 1%)\n",
+      "  adding: submit/4cff86d9-887f-42cd-bd01-bc0684f57e3d_target.jpg (deflated 1%)\n",
+      "  adding: submit/89b67147-d53d-4d43-b11e-84f5e4c90f25_target.jpg (deflated 0%)\n",
+      "  adding: submit/7430ca54-abd1-47a6-9ede-85466b47cdf0_target.jpg (deflated 0%)\n",
+      "  adding: submit/901464e5-22de-43ae-baf8-81a355b04798_target.jpg (deflated 0%)\n",
+      "  adding: submit/9a971ad0-4852-4597-8ce6-adff549933aa_target.jpg (deflated 0%)\n",
+      "  adding: submit/cc26f426-8bb9-48b6-a3b3-4d6f266c6948_target.jpg (deflated 0%)\n",
+      "  adding: submit/14235d1d-6403-4ee9-a59a-4fb5b7e22517_target.jpg (deflated 0%)\n",
+      "  adding: submit/f3f739ea-aba9-435a-932a-761bb7217412_target.jpg (deflated 0%)\n",
+      "  adding: submit/3ffa8ea6-74ba-45bb-b6a0-1eba15323155_target.jpg (deflated 1%)\n",
+      "  adding: submit/03998f2d-1be7-403d-bd90-2820ea65b53e_target.jpg (deflated 1%)\n",
+      "  adding: submit/89081d30-9469-4322-a851-da19e9d19813_target.jpg (deflated 1%)\n",
+      "  adding: submit/9534551c-72df-4425-bfd3-4a070d9beb18_target.jpg (deflated 1%)\n",
+      "  adding: submit/68894bbd-8ffd-4790-90e5-970cdaf9c2d4_target.jpg (deflated 0%)\n",
+      "  adding: submit/ecb6a11c-7221-467a-9868-a6821cd0672b_target.jpg (deflated 0%)\n",
+      "  adding: submit/2d2bac33-b9d5-4ca9-b052-c8e70f55df1d_target.jpg (deflated 1%)\n",
+      "  adding: submit/d37ea56a-43af-4422-a94f-f4c29ba4e1cd_target.jpg (deflated 0%)\n",
+      "  adding: submit/081c9444-e8f3-41ad-a514-c6fdad480a1f_target.jpg (deflated 0%)\n",
+      "  adding: submit/30b2023d-b441-447c-9f19-614377078371_target.jpg (deflated 0%)\n",
+      "  adding: submit/2839d4ff-c9d5-4550-b484-fb9b243bbfc1_target.jpg (deflated 0%)\n",
+      "  adding: submit/3e3b13ac-84f2-492e-923c-18a0f0ede4fc_target.jpg (deflated 1%)\n",
+      "  adding: submit/c5ec407d-68f3-4367-b878-aca0903996d1_target.jpg (deflated 0%)\n",
+      "  adding: submit/25aafadd-ab8d-42fc-8ff3-16713f691510_target.jpg (deflated 1%)\n",
+      "  adding: submit/ddf088fb-a142-43b0-bda0-b1f2dad1de41_target.jpg (deflated 0%)\n",
+      "  adding: submit/5035bddb-5d00-489b-bbae-f1beafa4a52f_target.jpg (deflated 1%)\n",
+      "  adding: submit/e1e9a80d-61f5-4130-8b69-e293a49965d1_target.jpg (deflated 0%)\n",
+      "  adding: submit/1fd9f159-aa3a-41e8-b877-b8d890f1a192_target.jpg (deflated 0%)\n",
+      "  adding: submit/282d4221-fcfe-4533-a911-86eea26794c9_target.jpg (deflated 1%)\n",
+      "  adding: submit/25944071-ab79-4439-b062-b92c06c32fc6_target.jpg (deflated 0%)\n",
+      "  adding: submit/90525347-2373-4fc8-b700-e1a4330567ea_target.jpg (deflated 0%)\n",
+      "  adding: submit/589e0914-c185-4c1b-8057-26d1f1d5dd27_target.jpg (deflated 0%)\n",
+      "  adding: submit/7473a6c4-6df7-4549-929c-b46247b3332c_target.jpg (deflated 1%)\n",
+      "  adding: submit/9e6e26e8-1dae-42c2-bc33-2747d78fa388_target.jpg (deflated 0%)\n",
+      "  adding: submit/3ba9eb4f-d324-4004-84fc-f27f1970f032_target.jpg (deflated 1%)\n",
+      "  adding: submit/3210ec03-6fe3-476d-8ec1-8c0579014da2_target.jpg (deflated 0%)\n",
+      "  adding: submit/68997840-f69c-4052-82b4-cbf49520d8f5_target.jpg (deflated 1%)\n",
+      "  adding: submit/a55c3451-4dc0-4b04-8447-e81a94ec9167_target.jpg (deflated 0%)\n",
+      "  adding: submit/a26c9f2f-3de5-441e-be4a-19c5c8447118_target.jpg (deflated 0%)\n",
+      "  adding: submit/01314e7c-b23c-489e-8922-dec4b5aafaf1_target.jpg (deflated 0%)\n",
+      "  adding: submit/24e78648-f70a-48ba-b5dd-f93a9d01276f_target.jpg (deflated 1%)\n",
+      "  adding: submit/5ec61095-796f-4f36-81f0-6a022ef545f5_target.jpg (deflated 0%)\n",
+      "  adding: submit/7027fbe9-e3e0-4d21-9b06-2fb88011069a_target.jpg (deflated 0%)\n",
+      "  adding: submit/389f6a62-7250-42aa-81aa-780c6ebf471e_target.jpg (deflated 0%)\n",
+      "  adding: submit/66deeed2-edea-410f-a458-f7d3e0a425cb_target.jpg (deflated 0%)\n",
+      "  adding: submit/cdce77ba-aff3-4082-8839-1fd3759b323f_target.jpg (deflated 0%)\n",
+      "  adding: submit/a86e3de8-f481-4c9a-8832-34027800c21d_target.jpg (deflated 0%)\n",
+      "  adding: submit/77a83fcc-1f95-4afc-81cf-96d68bc9b737_target.jpg (deflated 0%)\n",
+      "  adding: submit/8ea2f7f6-3545-4ff5-b107-a3b0eb4f17e8_target.jpg (deflated 0%)\n",
+      "  adding: submit/bd34aae4-c462-4c66-b824-2a41011925ef_target.jpg (deflated 1%)\n",
+      "  adding: submit/65a32f6b-c865-4a5f-991d-5ce67e69fa49_target.jpg (deflated 0%)\n",
+      "  adding: submit/6a0fc9b4-589a-4d58-9adf-c907b09dcd1e_target.jpg (deflated 0%)\n",
+      "  adding: submit/4bffa221-245e-4271-99aa-65c9ed899ef8_target.jpg (deflated 0%)\n",
+      "  adding: submit/e4ec0a3e-7c25-44c2-89ef-0b9ca3dc3a5e_target.jpg (deflated 0%)\n",
+      "  adding: submit/c1420279-9928-4e1c-8ea3-ec3cea297661_target.jpg (deflated 0%)\n",
+      "  adding: submit/250b87ad-3be9-4ef7-94a3-6b2ef5796530_target.jpg (deflated 1%)\n",
+      "  adding: submit/b4be9df9-8ce4-46c1-acb1-eb3f0684a2a6_target.jpg (deflated 0%)\n",
+      "  adding: submit/43348329-e7b7-4bb6-9903-103a855ec9f7_target.jpg (deflated 1%)\n",
+      "  adding: submit/bee0397d-3f01-44c4-83b8-51764b3296c4_target.jpg (deflated 0%)\n",
+      "  adding: submit/29598c22-7eea-48b0-9c16-e1ddb2dbb3b3_target.jpg (deflated 0%)\n",
+      "  adding: submit/b9616547-a442-43a2-ba2c-ebbca2011113_target.jpg (deflated 0%)\n",
+      "  adding: submit/6b0e7566-87d3-441d-abdc-d16aff664281_target.jpg (deflated 1%)\n",
+      "  adding: submit/83750947-ec70-4cd1-9aa5-6d5612a8dcd5_target.jpg (deflated 0%)\n",
+      "  adding: submit/2bed4671-1f2d-43b4-ad49-708cab8dfdf2_target.jpg (deflated 0%)\n",
+      "  adding: submit/a8dd9c2c-f966-4ecb-8dce-44aa5179c004_target.jpg (deflated 1%)\n",
+      "  adding: submit/248339f8-1a37-4e7c-af56-f9f2a4dfa419_target.jpg (deflated 0%)\n",
+      "  adding: submit/91230950-7838-49bf-94a6-a0cd74ce276e_target.jpg (deflated 0%)\n",
+      "  adding: submit/7b2b4614-519a-4736-95c0-70ec23a77eb2_target.jpg (deflated 0%)\n",
+      "  adding: submit/0ef37e6b-f9ac-4d32-b5d3-32ddde19a7d0_target.jpg (deflated 0%)\n",
+      "  adding: submit/7f7b75db-acff-444e-8336-33f4a3257c9d_target.jpg (deflated 0%)\n",
+      "  adding: submit/23f50b3c-a254-45e8-83c8-c690cee1f702_target.jpg (deflated 0%)\n",
+      "  adding: submit/7112e0d5-853a-4689-b71e-209abc7898c5_target.jpg (deflated 1%)\n",
+      "  adding: submit/cd0fe98c-9206-426c-8122-a05b4396a56c_target.jpg (deflated 0%)\n",
+      "  adding: submit/5d808987-eddf-48b0-b2eb-ddce5e2c31d0_target.jpg (deflated 0%)\n",
+      "  adding: submit/f5ff3694-cf15-4fdd-8738-e46721c9214d_target.jpg (deflated 0%)\n",
+      "  adding: submit/27f9f017-8d84-473c-ba33-ecc4d3288246_target.jpg (deflated 0%)\n",
+      "  adding: submit/a2c3b850-5af3-4a30-a612-8c2f47691347_target.jpg (deflated 0%)\n",
+      "  adding: submit/d6b7016b-211f-4cb6-bb05-31b315ce7b62_target.jpg (deflated 0%)\n",
+      "  adding: submit/7959ec72-678a-47c5-9b16-daddfeb7641c_target.jpg (deflated 0%)\n",
+      "  adding: submit/715f1e6d-85b3-4da6-b345-91ede1fffdb3_target.jpg (deflated 0%)\n",
+      "  adding: submit/382c73ad-d6f2-4360-ba52-7379228b5192_target.jpg (deflated 0%)\n",
+      "  adding: submit/d3c2bd6f-f1a3-48c7-a9be-fc98df700967_target.jpg (deflated 0%)\n",
+      "  adding: submit/48eb2033-865e-408d-8eca-71f6a6d8fcac_target.jpg (deflated 0%)\n",
+      "  adding: submit/5f50d432-3bb3-409b-8bea-e804d2a52aac_target.jpg (deflated 1%)\n",
+      "  adding: submit/50427cdb-997a-4fd0-8a86-61e367786602_target.jpg (deflated 0%)\n",
+      "  adding: submit/3acbeef9-3e63-46d7-b711-eaf0afcc8d8e_target.jpg (deflated 0%)\n",
+      "  adding: submit/3b0f0cdc-5097-41fa-ad97-c192cf32a77f_target.jpg (deflated 0%)\n",
+      "  adding: submit/02fef49d-6bfd-4d65-90a5-d54c7e089135_target.jpg (deflated 0%)\n",
+      "  adding: submit/e8f8c872-9b47-453f-92ae-a2af6e795a3c_target.jpg (deflated 0%)\n",
+      "  adding: submit/97d87782-398c-479c-94ca-0ef487d45939_target.jpg (deflated 0%)\n",
+      "  adding: submit/12dc45bb-0b74-42a0-b2c4-b6b6ee650979_target.jpg (deflated 1%)\n",
+      "  adding: submit/bcde2a97-af84-492d-99c3-eeaca4f2ad6d_target.jpg (deflated 1%)\n",
+      "  adding: submit/11facabc-f188-4274-90a6-fef14dd1a582_target.jpg (deflated 0%)\n",
+      "  adding: submit/1ee040bd-82de-40b5-987a-5e8abda9895e_target.jpg (deflated 0%)\n",
+      "  adding: submit/661b87a5-157a-41bb-a3da-b13dc490e67d_target.jpg (deflated 0%)\n",
+      "  adding: submit/e0ae416c-4483-4099-88e0-77deb7dbd20b_target.jpg (deflated 0%)\n",
+      "  adding: submit/82247dfa-8283-4f7b-b6fa-73e54e3b05d3_target.jpg (deflated 0%)\n",
+      "  adding: submit/0b9bef39-934a-4ac6-83e2-02eb919d55a5_target.jpg (deflated 0%)\n",
+      "  adding: submit/9199ef4c-c592-4ac0-9262-0960168781e0_target.jpg (deflated 1%)\n",
+      "  adding: submit/4ed5c2cb-5bcb-41a5-bcf9-b5165068e9d7_target.jpg (deflated 0%)\n",
+      "  adding: submit/102fbb98-9913-4868-9cf8-a74364e28242_target.jpg (deflated 0%)\n",
+      "  adding: submit/eaff6b84-3da0-49a2-bf68-ae227b8a142c_target.jpg (deflated 0%)\n",
+      "  adding: submit/b295fd70-0a96-4f31-b6f2-a2053c6def3a_target.jpg (deflated 1%)\n",
+      "  adding: submit/dad443c5-8e6c-4eab-bbba-592a2ab9ef89_target.jpg (deflated 0%)\n",
+      "  adding: submit/41f9f268-a410-43c8-857d-085138be5124_target.jpg (deflated 0%)\n",
+      "  adding: submit/df437d00-2e96-468e-b3e6-ad613041bdae_target.jpg (deflated 0%)\n",
+      "  adding: submit/a93db9b8-8932-4132-a201-c0f1472e00cc_target.jpg (deflated 1%)\n",
+      "  adding: submit/5f8f547d-4836-4dd8-9571-325fec3cad23_target.jpg (deflated 0%)\n",
+      "  adding: submit/fff7e397-f9cf-4c6e-90b5-fce1dd88e0ae_target.jpg (deflated 1%)\n",
+      "  adding: submit/50858e4f-61d7-4514-823c-48e3884fa9e9_target.jpg (deflated 0%)\n",
+      "  adding: submit/bbd14e1e-3adc-478f-8f65-aa143b4678eb_target.jpg (deflated 0%)\n",
+      "  adding: submit/2a15ce17-be40-4fb1-b90e-2113644e730e_target.jpg (deflated 0%)\n",
+      "  adding: submit/f98a0b78-b96b-4e4f-9dfb-99f8065d6c4f_target.jpg (deflated 1%)\n",
+      "  adding: submit/c8a11c72-506a-4e85-b45d-f1da6385e3e8_target.jpg (deflated 0%)\n",
+      "  adding: submit/0cfe0623-07c4-41d3-9bd3-381c2c6ba5c7_target.jpg (deflated 0%)\n",
+      "  adding: submit/6a9ee138-d026-42e2-9ec0-01f0a2b6dc43_target.jpg (deflated 0%)\n",
+      "  adding: submit/51110d46-a176-4b72-b88e-bc90b39068fe_target.jpg (deflated 0%)\n",
+      "  adding: submit/660aaafc-0507-49ec-8cbb-be1febe8b227_target.jpg (deflated 1%)\n",
+      "  adding: submit/f5f340ce-e9b4-45ae-9669-320d75a11f28_target.jpg (deflated 0%)\n",
+      "  adding: submit/e14b54c6-5d65-4eb4-a473-a7996f7fba5f_target.jpg (deflated 0%)\n",
+      "  adding: submit/93e64472-b64b-49eb-88cc-705fde16a559_target.jpg (deflated 0%)\n",
+      "  adding: submit/9578a0a5-bc8e-4d41-bcc5-54d1162219b0_target.jpg (deflated 0%)\n",
+      "  adding: submit/2f5f5627-bb9c-4229-83eb-ea8b3499b87f_target.jpg (deflated 1%)\n",
+      "  adding: submit/ce4d1524-d114-4b52-9172-2ff6b815d614_target.jpg (deflated 1%)\n",
+      "  adding: submit/b5f32776-f8d7-457c-a266-0311c3f97b65_target.jpg (deflated 0%)\n",
+      "  adding: submit/624fa329-5cd9-4e94-9bfe-758b74550f0b_target.jpg (deflated 0%)\n",
+      "  adding: submit/86f87743-e03b-463a-80d6-d0c0e801de20_target.jpg (deflated 1%)\n",
+      "  adding: submit/0eb7cca8-a522-4615-adae-5ea9aca10043_target.jpg (deflated 1%)\n",
+      "  adding: submit/5ac326dc-1b67-4a09-9947-02fbdc5b1274_target.jpg (deflated 0%)\n",
+      "  adding: submit/8a5d3f68-3d06-42e3-902b-a9267009d363_target.jpg (deflated 0%)\n",
+      "  adding: submit/8523db15-56ab-4e74-bcac-162182b124db_target.jpg (deflated 0%)\n",
+      "  adding: submit/248b91be-4326-4d25-aea9-8fc99cabaa30_target.jpg (deflated 0%)\n",
+      "  adding: submit/eedbf54b-904d-4e5b-9e3f-7923ce8b8c0e_target.jpg (deflated 1%)\n",
+      "  adding: submit/9711b477-f8d4-47dd-b3a9-7b581943f58e_target.jpg (deflated 0%)\n",
+      "  adding: submit/83319a02-7816-44c5-ba19-4e9ad8d6c90b_target.jpg (deflated 0%)\n",
+      "  adding: submit/3718bb82-1ec7-4db0-8e00-dca767606a42_target.jpg (deflated 0%)\n",
+      "  adding: submit/ca949324-3818-4099-a806-62ad858a2182_target.jpg (deflated 0%)\n",
+      "  adding: submit/9a4ecd38-58f2-4888-98e9-0e12c9cf9647_target.jpg (deflated 0%)\n",
+      "  adding: submit/2f1a8855-1663-42ed-a7ec-b8de421eb272_target.jpg (deflated 1%)\n",
+      "  adding: submit/4c6e0efa-0ed9-4574-8a3d-480d85e2f991_target.jpg (deflated 0%)\n",
+      "  adding: submit/dccee4cc-8bc2-48bd-af8c-0cbcd3c848b0_target.jpg (deflated 0%)\n",
+      "  adding: submit/c63d2f63-1679-42ec-93d1-17ebab4776c7_target.jpg (deflated 0%)\n",
+      "  adding: submit/1c37f07d-34ac-480c-8e60-0c3911e6bc32_target.jpg (deflated 0%)\n",
+      "  adding: submit/7788cda7-c853-4764-aa1d-03e92cf447f0_target.jpg (deflated 0%)\n",
+      "  adding: submit/8ee4aecc-3391-45e0-b2b7-867c35f7860f_target.jpg (deflated 0%)\n",
+      "  adding: submit/0e91a0f8-51bb-41a3-9d57-7a5ed8579cac_target.jpg (deflated 0%)\n",
+      "  adding: submit/e36bf647-81d8-41e8-bde9-16a189b63260_target.jpg (deflated 0%)\n",
+      "  adding: submit/b29f9875-f8ac-4bfa-a592-5f614062ae49_target.jpg (deflated 0%)\n",
+      "  adding: submit/aff26d5c-3cf2-497f-8061-29e9461e555b_target.jpg (deflated 0%)\n",
+      "  adding: submit/db5c1076-c08d-4edd-85ff-59a1d51a4ca6_target.jpg (deflated 1%)\n",
+      "  adding: submit/c9dbcef0-3d42-4909-acf0-14812629b0c3_target.jpg (deflated 0%)\n",
+      "  adding: submit/cc2c1b63-ef02-46fc-90fd-6220125d143f_target.jpg (deflated 0%)\n",
+      "  adding: submit/6fcbf4fd-ee09-4b1a-9243-842a467a1c2d_target.jpg (deflated 0%)\n",
+      "  adding: submit/a5222590-5404-408f-81d1-73d0ec3ea8b1_target.jpg (deflated 1%)\n",
+      "  adding: submit/e548c56b-3ebd-4b63-927e-a598febbfaba_target.jpg (deflated 0%)\n",
+      "  adding: submit/bf03a22c-8451-43d6-9c2a-c096398b80ff_target.jpg (deflated 0%)\n",
+      "  adding: submit/3d064c15-700f-4cbf-868e-84dedfcba1f6_target.jpg (deflated 0%)\n",
+      "  adding: submit/60e6e212-1b64-460f-980e-21f32c1591d9_target.jpg (deflated 1%)\n",
+      "  adding: submit/db12bf6a-24ff-40fb-9307-e677a66e6c2e_target.jpg (deflated 0%)\n",
+      "  adding: submit/d4816a68-8936-436f-918d-9b9b4f5cc0df_target.jpg (deflated 1%)\n",
+      "  adding: submit/ac71b34d-d163-4716-8435-258da9e1a71a_target.jpg (deflated 0%)\n",
+      "  adding: submit/1848703f-b6af-46ac-931f-2771d1e2f6da_target.jpg (deflated 1%)\n",
+      "  adding: submit/8ea19199-745b-4c76-af88-140e6c840a13_target.jpg (deflated 1%)\n",
+      "  adding: submit/50262bb1-dcb0-4dd3-aeb1-be3e88a31749_target.jpg (deflated 0%)\n",
+      "  adding: submit/50e3cbf9-629f-4644-be92-8bff3b2eeea5_target.jpg (deflated 0%)\n",
+      "  adding: submit/c5b9a263-bf30-44b0-8e8c-3da2f37d9a86_target.jpg (deflated 0%)\n",
+      "  adding: submit/e0e6f1aa-318f-4729-8aa1-d03184f6227c_target.jpg (deflated 1%)\n",
+      "  adding: submit/9ac0dc8c-cf61-4155-8a0d-fefb2b07a389_target.jpg (deflated 0%)\n",
+      "  adding: submit/5602a2bf-d018-4ff2-961b-f9dcf4a81bc3_target.jpg (deflated 0%)\n",
+      "  adding: submit/2c1a4708-2507-4db9-92ae-ef8b337eca97_target.jpg (deflated 0%)\n",
+      "  adding: submit/ec673922-3385-412b-820c-508fa06ff4df_target.jpg (deflated 1%)\n",
+      "  adding: submit/62dc78ce-89ae-4abe-8205-1a68079e0cc8_target.jpg (deflated 1%)\n",
+      "  adding: submit/09f20d0b-757d-416f-8f75-3293302bff4b_target.jpg (deflated 0%)\n",
+      "  adding: submit/f4c65611-2b90-4bf6-a001-154a969dd724_target.jpg (deflated 0%)\n",
+      "  adding: submit/2b401448-6a42-4d17-9427-b958b0d33dce_target.jpg (deflated 0%)\n",
+      "  adding: submit/8bb2cdb1-65f1-4e16-ba2f-92e88fef697c_target.jpg (deflated 0%)\n",
+      "  adding: submit/7b842876-ef28-4581-9be3-b7e63371d8c8_target.jpg (deflated 0%)\n",
+      "  adding: submit/8b17cd3d-8c8e-445f-94f0-013f5f4bf67b_target.jpg (deflated 0%)\n",
+      "  adding: submit/b77b27f0-3695-495a-a0f5-24175fe88ac1_target.jpg (deflated 0%)\n",
+      "  adding: submit/ae903b9b-3475-4da6-b95f-d83ccc2ae89d_target.jpg (deflated 0%)\n",
+      "  adding: submit/05f63519-3688-4553-82d4-2e1741db56c7_target.jpg (deflated 0%)\n",
+      "  adding: submit/b1b8f0c6-1d52-43e6-93ac-00bbe7d60f5c_target.jpg (deflated 1%)\n",
+      "  adding: submit/cc2d6017-03a2-43ac-a336-e4ca5ea19692_target.jpg (deflated 0%)\n",
+      "  adding: submit/7477449b-850d-4a28-820a-79bf0605dcfe_target.jpg (deflated 0%)\n",
+      "  adding: submit/1b199428-0a1e-4b67-ba11-dd503073e594_target.jpg (deflated 0%)\n",
+      "  adding: submit/0ecf748c-ea91-42bc-8b64-215bcba0c6d3_target.jpg (deflated 1%)\n",
+      "  adding: submit/50689f9b-712e-4161-bd0c-1d525da79c5b_target.jpg (deflated 0%)\n",
+      "  adding: submit/431c8d01-a815-4653-98c0-13e94234fbb4_target.jpg (deflated 0%)\n",
+      "  adding: submit/9312dcfa-e9b1-4831-a8e4-4adf94ec3ab5_target.jpg (deflated 0%)\n",
+      "  adding: submit/fd8a1995-148e-41fe-bb70-acd5202728a0_target.jpg (deflated 0%)\n",
+      "  adding: submit/dd55a298-c350-46be-9020-31ebde22233f_target.jpg (deflated 0%)\n",
+      "  adding: submit/d48a53ad-5398-4b4b-bd48-b37125eb2eca_target.jpg (deflated 0%)\n",
+      "  adding: submit/d8181601-c131-467e-9a0c-7d24ca7e4784_target.jpg (deflated 0%)\n",
+      "  adding: submit/457e9119-5fae-4fe4-b4c9-184d0c4cfd7b_target.jpg (deflated 0%)\n",
+      "  adding: submit/d5a86d7d-d34d-4c80-9894-cf4fd2721868_target.jpg (deflated 1%)\n",
+      "  adding: submit/70303b6a-22de-4ad2-9802-50f8d2b0a1c7_target.jpg (deflated 0%)\n",
+      "  adding: submit/984c7fb7-4dcd-4867-8bee-8e5d915072bf_target.jpg (deflated 0%)\n",
+      "  adding: submit/cc58a3a6-a6ff-4a29-acee-d593b7ad9134_target.jpg (deflated 0%)\n",
+      "  adding: submit/6c7aa960-b51d-4b2c-8b12-27e1521e899e_target.jpg (deflated 1%)\n",
+      "  adding: submit/fc1c8595-dde9-4cb7-a72b-aabf7b9b652a_target.jpg (deflated 1%)\n",
+      "  adding: submit/d93a052b-9772-42e7-b83a-0df42ec34ee8_target.jpg (deflated 0%)\n",
+      "  adding: submit/df0eb387-764e-4222-aa4c-dc1b48ced9b7_target.jpg (deflated 1%)\n",
+      "  adding: submit/c5095c1c-e97f-46f5-b38b-32d2f893b6cc_target.jpg (deflated 1%)\n",
+      "  adding: submit/99a6ec79-1d1a-4f99-9aa6-7c27492b275b_target.jpg (deflated 0%)\n",
+      "  adding: submit/65308ec1-4aaa-4348-9307-5db453fead5c_target.jpg (deflated 0%)\n",
+      "  adding: submit/3c28b87c-2c01-4c0d-bb8f-a8a374bdbe8b_target.jpg (deflated 0%)\n",
+      "  adding: submit/8d6ed541-80e6-4f51-ba1c-0f4a5d365a46_target.jpg (deflated 0%)\n",
+      "  adding: submit/e05bf995-9021-4a9b-9cb6-831ed70ca15a_target.jpg (deflated 0%)\n",
+      "  adding: submit/dbc5f599-3df1-405a-96a5-afc8df237158_target.jpg (deflated 0%)\n",
+      "  adding: submit/73d94097-9191-4bbf-998f-6a9e863f14dc_target.jpg (deflated 0%)\n",
+      "  adding: submit/4048b0f4-242e-4044-a7e8-5bec44dc63fc_target.jpg (deflated 0%)\n",
+      "  adding: submit/e833cb48-e1f9-4ab4-9d12-9114eaf3486c_target.jpg (deflated 0%)\n",
+      "  adding: submit/91bb0a5e-bdc0-4e61-8491-ba2fb021479c_target.jpg (deflated 0%)\n",
+      "  adding: submit/5fc0a173-b94e-493a-874d-71425315c46f_target.jpg (deflated 0%)\n",
+      "  adding: submit/79d6e006-b035-4144-a1d2-6bb99820e45a_target.jpg (deflated 0%)\n",
+      "  adding: submit/9d981882-0d94-42e0-9cca-4500e713e237_target.jpg (deflated 0%)\n",
+      "  adding: submit/646ac22c-9412-414d-87ce-c36c6707f21b_target.jpg (deflated 0%)\n",
+      "  adding: submit/949ac16d-38a2-4dcf-b041-09599152e0e0_target.jpg (deflated 0%)\n",
+      "  adding: submit/d5c09053-8762-4a40-920e-d290ed4208c3_target.jpg (deflated 0%)\n",
+      "  adding: submit/f7411162-853b-4024-bf04-b4ebca6e1655_target.jpg (deflated 0%)\n",
+      "  adding: submit/df2d3bbb-ebb4-4017-8985-65defd96067e_target.jpg (deflated 0%)\n",
+      "  adding: submit/56fdfba7-84fe-41c1-a6eb-a9fc66c8d3be_target.jpg (deflated 1%)\n",
+      "  adding: submit/b0daa668-f97e-434f-b71f-31d6ab2ba975_target.jpg (deflated 0%)\n",
+      "  adding: submit/1173d804-dde7-402d-b4c9-c5c68c3a4bfa_target.jpg (deflated 0%)\n",
+      "  adding: submit/26016341-0edd-498c-a3d4-e1d1beec907d_target.jpg (deflated 0%)\n",
+      "  adding: submit/eec269d4-1c2f-4a45-8d1b-d226769d78dd_target.jpg (deflated 0%)\n",
+      "  adding: submit/29f15999-46a4-4cb2-939d-c1e9b6341d10_target.jpg (deflated 1%)\n",
+      "  adding: submit/be7d28ea-b06f-45eb-a854-4eef999c7008_target.jpg (deflated 0%)\n",
+      "  adding: submit/10beb71d-d246-41d0-aa68-35a23c23dd1f_target.jpg (deflated 1%)\n",
+      "  adding: submit/da864586-f7c4-4e35-be5f-e02a36c726e0_target.jpg (deflated 0%)\n",
+      "  adding: submit/72313004-78c2-4540-8490-b958a148a0ec_target.jpg (deflated 0%)\n",
+      "  adding: submit/142e3d4a-2ed3-4f9a-adf4-b15f5411bfc5_target.jpg (deflated 0%)\n",
+      "  adding: submit/8609b5c9-a322-4549-b775-7c7ccf5b0b80_target.jpg (deflated 0%)\n",
+      "  adding: submit/4a5ca3ff-7460-40d4-a868-2def3aaf195a_target.jpg (deflated 0%)\n",
+      "  adding: submit/2680e218-d1e0-45b9-b1ce-f570180909e4_target.jpg (deflated 1%)\n",
+      "  adding: submit/c71ea716-6239-48a7-a212-36d177be40fe_target.jpg (deflated 0%)\n",
+      "  adding: submit/c3430954-01c1-4fc9-bd12-19a4134ec51c_target.jpg (deflated 1%)\n",
+      "  adding: submit/2323c0cc-820f-4ef1-a382-96880f56cb88_target.jpg (deflated 0%)\n",
+      "  adding: submit/f4a4e0f5-2fa5-4e90-b53d-a99420cac023_target.jpg (deflated 0%)\n",
+      "  adding: submit/2ae392cc-8dc8-45ca-90ed-444e78e0fdcc_target.jpg (deflated 0%)\n",
+      "  adding: submit/5685e82f-3d9e-49cb-b8e5-5fa9e7246263_target.jpg (deflated 0%)\n",
+      "  adding: submit/43db6b9e-2b31-4d54-99ea-c8a8064599c8_target.jpg (deflated 0%)\n",
+      "  adding: submit/45a205e8-b529-45d0-b148-09bffa708682_target.jpg (deflated 1%)\n",
+      "  adding: submit/7605b3d3-7036-4aff-9dc6-2fc7e4698454_target.jpg (deflated 0%)\n",
+      "  adding: submit/eed5beb8-8e0e-4fa8-858d-af646fbb58e1_target.jpg (deflated 0%)\n",
+      "  adding: submit/1fbf6029-b81d-4b6d-a74c-e9ef82941163_target.jpg (deflated 0%)\n",
+      "  adding: submit/ac79825a-5b0c-4033-bdc7-0b301544f317_target.jpg (deflated 1%)\n",
+      "  adding: submit/59e6f1b0-1c8d-4310-8c18-fdc9e23b2b23_target.jpg (deflated 1%)\n",
+      "  adding: submit/910d540e-0a55-475a-b40b-4e2818f01776_target.jpg (deflated 0%)\n",
+      "  adding: submit/8df84eeb-f99c-47b0-b81c-fae2f0b45f7d_target.jpg (deflated 1%)\n",
+      "  adding: submit/359af080-ffd0-4791-8688-d4b7db141779_target.jpg (deflated 0%)\n",
+      "  adding: submit/8768999e-8457-4924-8efb-0cc06ca0b64b_target.jpg (deflated 0%)\n",
+      "  adding: submit/50ae5706-de18-41a0-873d-5e92a074a295_target.jpg (deflated 0%)\n",
+      "  adding: submit/b6658351-f869-4099-9057-0ef178feb671_target.jpg (deflated 0%)\n",
+      "  adding: submit/c3c7654d-324c-4359-b395-adfd34c57ef6_target.jpg (deflated 0%)\n",
+      "  adding: submit/922ccda9-0638-4d23-8240-36556e61884b_target.jpg (deflated 0%)\n",
+      "  adding: submit/2c4069ad-9483-469c-b03d-bac2fffad919_target.jpg (deflated 0%)\n",
+      "  adding: submit/57e2dd43-ad44-411e-985d-8163706a59d0_target.jpg (deflated 1%)\n",
+      "  adding: submit/6ab2cc07-59f9-4aba-a40e-400fd7699cf3_target.jpg (deflated 1%)\n",
+      "  adding: submit/47a3ab4c-0005-4015-92bf-9e5a03807ee0_target.jpg (deflated 0%)\n",
+      "  adding: submit/7ac1f460-528f-445c-b9f9-02324fa31b1b_target.jpg (deflated 0%)\n",
+      "  adding: submit/5f93d529-df1d-47fa-a45d-0bc3ace9e8f2_target.jpg (deflated 1%)\n",
+      "  adding: submit/8b7c84c8-3d0b-4bb5-97e4-d1d1d4386c72_target.jpg (deflated 0%)\n",
+      "  adding: submit/2f9c1de5-60d0-494f-99f8-2561e5b59c41_target.jpg (deflated 0%)\n",
+      "  adding: submit/0b8b2401-f37f-45fb-a47a-16b799694683_target.jpg (deflated 0%)\n",
+      "  adding: submit/a8a4c466-dd9b-4fac-aa80-91da45a952d7_target.jpg (deflated 0%)\n",
+      "  adding: submit/5c703170-8aa5-4130-8440-49c37d273852_target.jpg (deflated 0%)\n",
+      "  adding: submit/41bced7b-4ab2-49d0-a331-1ead6dffae61_target.jpg (deflated 1%)\n",
+      "  adding: submit/fb8e86bf-7ea4-429a-bdc8-02343583ff13_target.jpg (deflated 0%)\n",
+      "  adding: submit/6b97def6-b633-49f4-b1ee-7adbe6e3b572_target.jpg (deflated 0%)\n",
+      "  adding: submit/9ff96835-2a7f-47f3-a8d5-396916abb61d_target.jpg (deflated 0%)\n",
+      "  adding: submit/f1dcd63d-dffe-433d-b7de-26a49de41af0_target.jpg (deflated 0%)\n",
+      "  adding: submit/114dc0ab-f571-49ac-bbe3-03af738e5313_target.jpg (deflated 0%)\n",
+      "  adding: submit/a029255b-3229-4d37-9aae-9e9545223328_target.jpg (deflated 1%)\n",
+      "  adding: submit/fdc870d4-b117-4a1e-b160-b03e3a87220d_target.jpg (deflated 0%)\n",
+      "  adding: submit/80fad2f1-c1e7-4d98-bff5-6cb050286846_target.jpg (deflated 0%)\n",
+      "  adding: submit/470ce1b0-f72e-45af-936a-19c4f43cfd34_target.jpg (deflated 1%)\n",
+      "  adding: submit/c0045e07-e548-4c93-a441-afde2bd33ac4_target.jpg (deflated 0%)\n",
+      "  adding: submit/445baaa5-be34-4561-9def-2d75673bb96b_target.jpg (deflated 1%)\n",
+      "  adding: submit/0ca11861-5c56-4c78-9df8-07b99f545466_target.jpg (deflated 0%)\n",
+      "  adding: submit/1a50c5ff-2ff2-44b9-bc5e-7963a8bb4288_target.jpg (deflated 0%)\n",
+      "  adding: submit/ffddb397-481d-42e8-9e7c-a6dab9b87f4d_target.jpg (deflated 1%)\n",
+      "  adding: submit/3e6a2d73-281c-4deb-ac75-7ac161e606a9_target.jpg (deflated 0%)\n",
+      "  adding: submit/5110609d-0a82-478b-b88b-20994ffbe497_target.jpg (deflated 1%)\n",
+      "  adding: submit/9cbd9267-3673-422b-b30d-3a360d185875_target.jpg (deflated 0%)\n",
+      "  adding: submit/c669126d-f3db-4292-8578-eb9d1600913f_target.jpg (deflated 0%)\n",
+      "  adding: submit/2c9ecf60-50d2-4cfa-9fb8-3f355f488da8_target.jpg (deflated 1%)\n",
+      "  adding: submit/17a9eef9-009a-4e71-afef-a0e385571bf6_target.jpg (deflated 0%)\n",
+      "  adding: submit/caef3150-537e-470a-998a-6403a25f1cbf_target.jpg (deflated 0%)\n",
+      "  adding: submit/85b825ff-8606-44e6-b211-e3d745c109a6_target.jpg (deflated 0%)\n",
+      "  adding: submit/0b632ede-ce9a-49c5-bf06-13cc31530aa3_target.jpg (deflated 1%)\n",
+      "  adding: submit/c73ab35a-fc0e-4409-ba9f-9b005727066d_target.jpg (deflated 0%)\n",
+      "  adding: submit/0fb83d10-43ae-4f73-8724-1d25374579fa_target.jpg (deflated 0%)\n",
+      "  adding: submit/8b93f0c7-ca6b-4322-bb37-a1f15a890b4c_target.jpg (deflated 0%)\n",
+      "  adding: submit/b9d7156a-9a6d-4e65-9ad6-792d48dba9cc_target.jpg (deflated 0%)\n",
+      "  adding: submit/23183f99-67a2-40f5-aac6-04b87cae8a20_target.jpg (deflated 0%)\n",
+      "  adding: submit/79961a81-b91b-4144-9050-bc526aa75236_target.jpg (deflated 0%)\n",
+      "  adding: submit/370fe66f-218d-429d-9d93-5cb9de3d29f0_target.jpg (deflated 0%)\n",
+      "  adding: submit/c7625eba-04bb-4994-ba57-a873af697655_target.jpg (deflated 0%)\n",
+      "  adding: submit/ca051fc0-16c9-49d7-a24d-c8b0bc5c4e39_target.jpg (deflated 0%)\n",
+      "  adding: submit/a0e22c61-e979-468f-812d-e959c7d3de06_target.jpg (deflated 0%)\n",
+      "  adding: submit/56fae24b-6ae7-4e87-9d10-22e451ed2330_target.jpg (deflated 0%)\n",
+      "  adding: submit/1fe6fada-2b3d-4c9e-83c3-74429f6ed6aa_target.jpg (deflated 0%)\n",
+      "  adding: submit/5e2edfb9-4c0e-4942-8743-7d0ed39786a1_target.jpg (deflated 0%)\n",
+      "  adding: submit/45e4dda5-ad3a-479a-bf58-7645eb475e80_target.jpg (deflated 0%)\n",
+      "  adding: submit/866f6193-51df-4299-8477-f99496ac8fb4_target.jpg (deflated 0%)\n",
+      "  adding: submit/7e78f137-2cae-4ce2-8ff7-43fc21ea409e_target.jpg (deflated 1%)\n",
+      "  adding: submit/c9efcd20-079c-419f-9243-3675b11a9560_target.jpg (deflated 0%)\n",
+      "  adding: submit/594b2668-c537-4400-bb78-033eeafaf5ff_target.jpg (deflated 0%)\n",
+      "  adding: submit/728a98ba-3be9-4c00-b000-a736249c9311_target.jpg (deflated 0%)\n",
+      "  adding: submit/faadad82-c41e-4ebc-894e-3cffce701e7c_target.jpg (deflated 0%)\n",
+      "  adding: submit/1630553b-290c-4c1f-978e-061175a4a669_target.jpg (deflated 1%)\n",
+      "  adding: submit/8c66ab75-b326-425e-ad5b-4f776657f3d5_target.jpg (deflated 0%)\n",
+      "  adding: submit/2f4d534a-3752-4115-be3b-4608d10bf282_target.jpg (deflated 0%)\n",
+      "  adding: submit/643a244d-b734-457b-83b7-21a9c1ee60c4_target.jpg (deflated 0%)\n",
+      "  adding: submit/f43f96d6-4d82-44b0-9d1d-49556f05c288_target.jpg (deflated 1%)\n",
+      "  adding: submit/9ead5176-9bb4-400a-8e62-fd3262c7dede_target.jpg (deflated 1%)\n",
+      "  adding: submit/0099c28e-a9c8-4938-b693-f2e34ea09781_target.jpg (deflated 1%)\n",
+      "  adding: submit/7c475ab2-3680-495d-a712-0066c6b60094_target.jpg (deflated 0%)\n",
+      "  adding: submit/9ac0009f-d593-4923-87fd-f0733b27eff0_target.jpg (deflated 0%)\n",
+      "  adding: submit/b1a35e03-7cbe-4580-ac92-56c309819dbe_target.jpg (deflated 1%)\n",
+      "  adding: submit/f9755b6a-1ff6-4c06-8b0f-47dc9480570c_target.jpg (deflated 0%)\n",
+      "  adding: submit/d5a7765a-6857-463c-ab26-fac907891670_target.jpg (deflated 0%)\n",
+      "  adding: submit/897c1d46-fd92-4244-8913-5f9ccf75984f_target.jpg (deflated 0%)\n",
+      "  adding: submit/83f85c51-8e06-4bd3-ae89-b222f0cfc056_target.jpg (deflated 1%)\n",
+      "  adding: submit/e69b1ab3-18a6-4a0f-b729-8f4c6951f60b_target.jpg (deflated 0%)\n",
+      "  adding: submit/26b4dc55-b314-474d-9ac4-ca8502977b09_target.jpg (deflated 1%)\n",
+      "  adding: submit/3b57e32d-8406-4757-9eb7-d0569d6188be_target.jpg (deflated 1%)\n",
+      "  adding: submit/c0b47567-7be8-4ce1-b2ed-dca1ca4ec4bc_target.jpg (deflated 0%)\n",
+      "  adding: submit/23262fbb-015e-418e-a02f-73e51342714f_target.jpg (deflated 0%)\n",
+      "  adding: submit/b03c6f11-5887-466d-80c0-3e5581d0c62e_target.jpg (deflated 0%)\n",
+      "  adding: submit/3be612bf-c14a-423a-b35d-240e29c6d78a_target.jpg (deflated 0%)\n",
+      "  adding: submit/e498f175-1f17-4e68-95c0-30544e0366a0_target.jpg (deflated 0%)\n",
+      "  adding: submit/2ab25e22-1871-4561-8cca-cf23a9a36f76_target.jpg (deflated 0%)\n",
+      "  adding: submit/31976024-79b7-4ff3-9119-d384a54c3ce8_target.jpg (deflated 0%)\n",
+      "  adding: submit/dad5e155-1cff-478c-837f-b3359d4c596b_target.jpg (deflated 0%)\n",
+      "  adding: submit/e19450a1-9090-47e9-9c18-631ada894122_target.jpg (deflated 0%)\n",
+      "  adding: submit/b9a47367-582f-4a82-84fb-a14786d495e1_target.jpg (deflated 1%)\n",
+      "  adding: submit/d29f4239-c846-49f0-bae9-2f369742e366_target.jpg (deflated 0%)\n",
+      "  adding: submit/4febb95b-dd2b-4f9e-bd92-a9ee0e898f6c_target.jpg (deflated 0%)\n",
+      "  adding: submit/d943e783-4359-403e-8f89-f43e3b643045_target.jpg (deflated 0%)\n",
+      "  adding: submit/d796c348-557a-4e98-914b-e3512f73889e_target.jpg (deflated 0%)\n",
+      "  adding: submit/9b1111f4-107b-4cf0-b19e-c4796e2c937b_target.jpg (deflated 1%)\n",
+      "  adding: submit/8a8d2853-2185-4f4f-9f2d-bfaa92ae3d04_target.jpg (deflated 1%)\n",
+      "  adding: submit/67080a3a-3c69-4641-8469-58da7595403c_target.jpg (deflated 1%)\n",
+      "  adding: submit/e78109df-60a7-4ad5-b3e5-b80bb8c92661_target.jpg (deflated 0%)\n",
+      "  adding: submit/6a9f4633-8e0f-4746-a92f-f08ea53da642_target.jpg (deflated 0%)\n",
+      "  adding: submit/05cc9360-26d5-4d37-91a4-2ee5c03eadac_target.jpg (deflated 0%)\n",
+      "  adding: submit/05da1083-11c0-4653-9306-6015f10ceb40_target.jpg (deflated 0%)\n",
+      "  adding: submit/460404af-9b81-44f7-b751-d84de8d2cae0_target.jpg (deflated 1%)\n",
+      "  adding: submit/99b50f5f-17eb-43d6-a4e4-0a8366dd0e67_target.jpg (deflated 0%)\n",
+      "  adding: submit/7947a6b7-a809-4308-9c9c-efe83a41bc1c_target.jpg (deflated 0%)\n",
+      "  adding: submit/0d0d0b34-6710-41ce-9fd1-78fc8af40351_target.jpg (deflated 0%)\n",
+      "  adding: submit/145e2943-a195-478f-b1e7-27fa7955c9f6_target.jpg (deflated 1%)\n",
+      "  adding: submit/b7ff1863-1bba-49d0-8c7a-b9cc41ae8fad_target.jpg (deflated 0%)\n",
+      "  adding: submit/4dfc5150-fbae-4016-8c6d-4161d536fcb1_target.jpg (deflated 0%)\n",
+      "  adding: submit/e587afaa-32b4-4f43-b266-42d2bb5d59c0_target.jpg (deflated 0%)\n",
+      "  adding: submit/74350019-1feb-439f-813f-b1266e3b9445_target.jpg (deflated 0%)\n",
+      "  adding: submit/5e6594d2-779f-4d28-9d43-a66cbc93d4e0_target.jpg (deflated 0%)\n",
+      "  adding: submit/9c08e003-8c9a-4b41-b965-c06d7c1e3817_target.jpg (deflated 0%)\n",
+      "  adding: submit/5e0f910d-2122-4eb7-9110-5bcbdcbeb072_target.jpg (deflated 0%)\n",
+      "  adding: submit/87074c59-e07a-4446-917b-e177658774ee_target.jpg (deflated 1%)\n",
+      "  adding: submit/6d240245-ba1e-4802-892d-8c078c3bc437_target.jpg (deflated 1%)\n",
+      "  adding: submit/d875778f-305f-42e3-a494-401018b90389_target.jpg (deflated 0%)\n",
+      "  adding: submit/6c9e1d4e-376d-4c72-b366-68e0cc58c407_target.jpg (deflated 0%)\n",
+      "  adding: submit/f7bdabe2-9961-4258-b836-baaa474ab149_target.jpg (deflated 1%)\n",
+      "  adding: submit/a7a1e34a-8af1-47b2-9d46-a1ddb5f76c36_target.jpg (deflated 0%)\n",
+      "  adding: submit/aa80b908-af6e-4fe1-8499-788f321e6888_target.jpg (deflated 1%)\n",
+      "  adding: submit/7e10eed3-ddf7-4a0e-9140-c7fa0812d4b6_target.jpg (deflated 1%)\n",
+      "  adding: submit/db8f0b58-6a79-4df3-8713-72b3085882a5_target.jpg (deflated 0%)\n",
+      "  adding: submit/10e65d7e-3102-4011-bf01-3ab53f0453f1_target.jpg (deflated 0%)\n",
+      "  adding: submit/0b547185-88dc-4864-9cbd-c202a94a6dbc_target.jpg (deflated 0%)\n",
+      "  adding: submit/7f82e540-8482-4bd3-b74a-5b29aa0c1caf_target.jpg (deflated 1%)\n",
+      "  adding: submit/6357a375-dacb-433b-9029-93b0fc528216_target.jpg (deflated 0%)\n",
+      "  adding: submit/cb6c7fec-8327-4786-804d-2aeefe8ab4c7_target.jpg (deflated 0%)\n",
+      "  adding: submit/6e0c918c-bb54-4353-8717-1df34d6bd6d3_target.jpg (deflated 0%)\n",
+      "  adding: submit/2ac5c8a6-af70-4695-8b88-6b5e9fa85d7f_target.jpg (deflated 0%)\n",
+      "  adding: submit/38b4cd60-730a-4fbe-b524-46e1e38e7b84_target.jpg (deflated 0%)\n",
+      "  adding: submit/b16bbdbe-d623-4fdc-ba04-acdd2e4e9480_target.jpg (deflated 0%)\n",
+      "  adding: submit/559b5f85-32e4-4206-a8b2-a4cca7898472_target.jpg (deflated 0%)\n",
+      "  adding: submit/6062420f-bd85-4bcd-affe-425bc997b4e5_target.jpg (deflated 0%)\n",
+      "  adding: submit/8ba9e5e4-2776-49d4-bbe7-2fa0989e1c33_target.jpg (deflated 0%)\n",
+      "  adding: submit/2514fbc0-0a1a-45ce-a949-fcbaf592e9b8_target.jpg (deflated 0%)\n",
+      "  adding: submit/d3f7a17e-410b-474a-9413-ca029db7939a_target.jpg (deflated 1%)\n",
+      "  adding: submit/75f00998-9d98-42f4-a5e9-4653185c9175_target.jpg (deflated 0%)\n",
+      "  adding: submit/8823a221-8367-4895-a1d3-04f65cebeca5_target.jpg (deflated 0%)\n",
+      "  adding: submit/8207e31d-d0d1-49e3-901b-b903f259c16b_target.jpg (deflated 1%)\n",
+      "  adding: submit/8d49ddc9-55c0-4c45-9c85-982b2996e80d_target.jpg (deflated 0%)\n",
+      "  adding: submit/b370fa30-a73c-4da5-9edb-5abe9689a3c6_target.jpg (deflated 0%)\n",
+      "  adding: submit/ae4ca260-72d6-441f-9f7f-abd668e1884e_target.jpg (deflated 0%)\n",
+      "  adding: submit/8215f43e-1c70-4542-9dd2-7cdb8fc62229_target.jpg (deflated 1%)\n",
+      "  adding: submit/72fe7996-94e0-42e0-9b52-e1d45b14b04b_target.jpg (deflated 0%)\n",
+      "  adding: submit/a9dcc180-2d59-4154-8073-95adbd836ef5_target.jpg (deflated 0%)\n",
+      "  adding: submit/8de8a2d6-a101-4457-84ed-f856e3cc577a_target.jpg (deflated 0%)\n",
+      "  adding: submit/2c3511fd-52a3-42ea-9ba8-8739106ff612_target.jpg (deflated 1%)\n",
+      "  adding: submit/6d143846-21b5-40eb-902d-4b7930070833_target.jpg (deflated 1%)\n",
+      "  adding: submit/a1431689-3852-40e2-a68d-d2d19f49c486_target.jpg (deflated 0%)\n",
+      "  adding: submit/32a47133-0cf1-4701-aa63-be39dc8eebf4_target.jpg (deflated 0%)\n",
+      "  adding: submit/ecb67020-0e40-4c26-9aab-0246653e1b28_target.jpg (deflated 0%)\n",
+      "  adding: submit/8dc898ce-82f6-4ed8-a1b9-1d6663ed9dcd_target.jpg (deflated 0%)\n",
+      "  adding: submit/1af9566a-6bfa-4122-a7c0-e7167fa9091a_target.jpg (deflated 0%)\n",
+      "  adding: submit/c17e2fd3-27f6-4744-8ca5-089ec5b5b506_target.jpg (deflated 0%)\n",
+      "  adding: submit/0ae61600-0ae4-4d31-b16e-9298cb22889e_target.jpg (deflated 1%)\n",
+      "  adding: submit/4040028d-467d-4c3f-9718-9e2071e53ef5_target.jpg (deflated 0%)\n",
+      "  adding: submit/24dad538-05fd-4b6b-91cb-45266fc5b649_target.jpg (deflated 0%)\n",
+      "  adding: submit/bf4d53b0-6a41-447a-933b-c6efc59468c7_target.jpg (deflated 0%)\n",
+      "  adding: submit/94b99ea5-84fc-4a09-b65f-b65d249922e6_target.jpg (deflated 1%)\n",
+      "  adding: submit/82f3c8f0-479f-46f6-968c-9ae610462c5a_target.jpg (deflated 0%)\n",
+      "  adding: submit/6c2f75b2-9c2e-413a-ac09-fede648eb357_target.jpg (deflated 1%)\n",
+      "  adding: submit/fdc2ad18-58e1-4e87-8853-22e991b7cc9d_target.jpg (deflated 0%)\n",
+      "  adding: submit/45b7250f-05f8-4739-a263-6fb2fc7312fe_target.jpg (deflated 0%)\n",
+      "  adding: submit/f5750f5f-8ad0-421c-b2dc-6299b3fde237_target.jpg (deflated 0%)\n",
+      "  adding: submit/c562096a-2614-4855-b680-c7e4babf56bf_target.jpg (deflated 0%)\n",
+      "  adding: submit/8e9b3a8b-88f6-412d-94c3-39cc4584b821_target.jpg (deflated 1%)\n",
+      "  adding: submit/eedcd7f1-2935-4438-81c3-ff16f3aae3a5_target.jpg (deflated 0%)\n",
+      "  adding: submit/a3271432-0748-4bfb-a380-180bc82cc6d6_target.jpg (deflated 0%)\n",
+      "  adding: submit/7637fbfb-4670-4e58-b799-e2f50c237b89_target.jpg (deflated 0%)\n",
+      "  adding: submit/b1c82866-b26b-4919-96b2-81130d736158_target.jpg (deflated 0%)\n",
+      "  adding: submit/cb02f1c3-2e70-4689-b9cc-4923af33eda9_target.jpg (deflated 0%)\n",
+      "  adding: submit/1915f3ee-1629-4b76-9dd7-2d3b01c99458_target.jpg (deflated 0%)\n",
+      "  adding: submit/6ce03755-af16-4285-8b06-e034ed754a79_target.jpg (deflated 0%)\n",
+      "  adding: submit/8c63e5e2-dd2e-42d8-9a02-cb58ed6de992_target.jpg (deflated 0%)\n",
+      "  adding: submit/46b1e59a-8626-44d3-8c3c-0042986650b0_target.jpg (deflated 1%)\n",
+      "  adding: submit/f7491d50-e664-4eb5-89b7-f416f3e11dc5_target.jpg (deflated 0%)\n",
+      "  adding: submit/81987d86-e5b5-446b-aebc-019433a742ba_target.jpg (deflated 0%)\n",
+      "  adding: submit/8e83bfc1-079a-47b7-bbe6-e2c7988162ad_target.jpg (deflated 0%)\n",
+      "  adding: submit/3b1f8d2e-4bd0-49dd-a993-f073b2c6c566_target.jpg (deflated 0%)\n",
+      "  adding: submit/f9d62280-e33e-411b-9a61-6a2856a11c37_target.jpg (deflated 0%)\n",
+      "  adding: submit/67fe4236-868e-4f6f-ad0a-3502e4f92e3d_target.jpg (deflated 0%)\n",
+      "  adding: submit/c5c302dd-c066-4aa2-b3f0-858c1f2e10d1_target.jpg (deflated 0%)\n",
+      "  adding: submit/fa8c6256-1048-44d0-850a-f5ed58d34de3_target.jpg (deflated 0%)\n",
+      "  adding: submit/da2ef3be-26da-4727-b1b4-0ac9d84598dd_target.jpg (deflated 0%)\n",
+      "  adding: submit/6c56b901-7d06-4a22-9ab7-ca8b8754bef4_target.jpg (deflated 0%)\n",
+      "  adding: submit/91b9eed4-8836-4320-a59b-f15146448aa0_target.jpg (deflated 0%)\n",
+      "  adding: submit/69cb9e61-5864-4e94-947e-08026800e4fe_target.jpg (deflated 1%)\n",
+      "  adding: submit/49b9e4a3-e8a5-410d-8c8f-de8e6d464b31_target.jpg (deflated 0%)\n",
+      "  adding: submit/6d750a8c-01dc-4808-93fe-7d04b31678dd_target.jpg (deflated 0%)\n",
+      "  adding: submit/f7881979-235d-462e-ae69-5ef3ec2f1eec_target.jpg (deflated 0%)\n",
+      "  adding: submit/5262f6e1-12ad-4598-b9d3-deddc840dc69_target.jpg (deflated 0%)\n",
+      "  adding: submit/07b16ba9-69c0-4df6-8fb2-6c9dc2cf83ad_target.jpg (deflated 1%)\n",
+      "  adding: submit/7d552f79-7a0d-402e-8a2c-3ca4c04a5af7_target.jpg (deflated 0%)\n",
+      "  adding: submit/53adbf16-8cee-4477-a7a8-560acccd6b37_target.jpg (deflated 1%)\n",
+      "  adding: submit/b21f1554-aa25-40f0-b250-aead42233ef6_target.jpg (deflated 0%)\n",
+      "  adding: submit/44641611-64f7-4bc0-b90c-99d5d54d2d55_target.jpg (deflated 1%)\n",
+      "  adding: submit/585c5a18-8200-4b3d-a39c-4e66f4813411_target.jpg (deflated 0%)\n",
+      "  adding: submit/383fd1b8-146a-4b12-b3bd-ce278d115495_target.jpg (deflated 1%)\n",
+      "  adding: submit/e20f8c1b-6231-4c50-b220-c93848feaadd_target.jpg (deflated 1%)\n",
+      "  adding: submit/fbda6e0b-676b-4722-99ca-6c53663e156b_target.jpg (deflated 1%)\n",
+      "  adding: submit/40ef32e0-1e2b-402c-b087-84433268234b_target.jpg (deflated 0%)\n",
+      "  adding: submit/edd3e325-5b50-4c02-b75a-43a91bd70959_target.jpg (deflated 0%)\n",
+      "  adding: submit/5d0ded95-b8e7-4202-aa18-1906a0447835_target.jpg (deflated 0%)\n",
+      "  adding: submit/883b957b-2c5a-4e14-b88d-abc0080e51e2_target.jpg (deflated 0%)\n",
+      "  adding: submit/521d4d47-0a2c-4739-9a0d-fa3f290a769c_target.jpg (deflated 0%)\n",
+      "  adding: submit/fac9dd24-2802-413e-a872-cbb6117b20c4_target.jpg (deflated 0%)\n",
+      "  adding: submit/175c525d-e98f-45dd-b139-0ef39618902f_target.jpg (deflated 0%)\n",
+      "  adding: submit/907a457d-86bb-411e-b2c8-ca51f5d01187_target.jpg (deflated 0%)\n",
+      "  adding: submit/0d469023-568a-4be3-9676-216263df0b88_target.jpg (deflated 0%)\n",
+      "  adding: submit/34aa3e7e-3702-4c87-9938-12526a6245ef_target.jpg (deflated 0%)\n",
+      "  adding: submit/1f7ec8c6-e872-447c-a80e-bf13acd95774_target.jpg (deflated 1%)\n",
+      "  adding: submit/6f0394c5-526f-46c0-8ab9-cba909285c76_target.jpg (deflated 0%)\n",
+      "  adding: submit/fb640eb4-f220-4ab6-8e3d-87be107eeff4_target.jpg (deflated 1%)\n",
+      "  adding: submit/568ab6d7-1055-49b6-8c33-2bee8047475e_target.jpg (deflated 0%)\n",
+      "  adding: submit/7c2adf63-91e0-40d6-80b9-39ad630ec620_target.jpg (deflated 0%)\n",
+      "  adding: submit/e301e7d8-62a2-46b9-a78d-2f92609e7790_target.jpg (deflated 0%)\n",
+      "  adding: submit/3cfb4a3a-e5da-459e-8379-eff7dcff841c_target.jpg (deflated 0%)\n",
+      "  adding: submit/fa705a1e-3ced-4229-9d69-05bd4cd100dd_target.jpg (deflated 0%)\n",
+      "  adding: submit/b88ad549-f38d-47e5-a971-82a0dd1be797_target.jpg (deflated 0%)\n",
+      "  adding: submit/a68a5650-91d2-4c8a-9c7b-7772928acc9f_target.jpg (deflated 1%)\n",
+      "  adding: submit/a9e4ceb8-f1d3-484d-95b2-b09a4f448cfa_target.jpg (deflated 1%)\n",
+      "  adding: submit/7ed2a707-714b-4000-a675-dd71d9a9cce8_target.jpg (deflated 0%)\n",
+      "  adding: submit/e1cfd951-943a-45f4-b942-5be61bf863f3_target.jpg (deflated 0%)\n",
+      "  adding: submit/f9f1ddf9-7f4a-4de1-8997-fab03a8613a4_target.jpg (deflated 0%)\n",
+      "  adding: submit/088e4b7e-18f0-4475-a26c-1bece6d76b93_target.jpg (deflated 0%)\n",
+      "  adding: submit/1f26506e-7928-44f3-bef9-73ffec35e780_target.jpg (deflated 0%)\n",
+      "  adding: submit/0d51e438-531a-4020-94d3-3eaaa90125f7_target.jpg (deflated 1%)\n",
+      "  adding: submit/0436a8c0-dc03-4e6b-9561-50f921c78fd1_target.jpg (deflated 0%)\n",
+      "  adding: submit/35b27ece-e382-4a6f-bb2e-b4dcb1b422fd_target.jpg (deflated 0%)\n",
+      "  adding: submit/d0c6c3dd-898e-4ac6-be78-ca76532a894c_target.jpg (deflated 0%)\n",
+      "  adding: submit/66d16849-b7b0-4f21-97f2-a9283648e4b2_target.jpg (deflated 0%)\n",
+      "  adding: submit/44922c14-6e0a-44a9-b2b0-de25c5799c62_target.jpg (deflated 0%)\n",
+      "  adding: submit/39141424-4356-4fab-bc9f-e070d067c5e5_target.jpg (deflated 0%)\n",
+      "  adding: submit/9eb36f3c-9e00-4f76-b9bf-321038296c07_target.jpg (deflated 0%)\n",
+      "  adding: submit/f6336e36-aceb-4132-b56c-9d292c2cf344_target.jpg (deflated 0%)\n",
+      "  adding: submit/0b3ff566-0b97-4512-8688-73c3c3499855_target.jpg (deflated 1%)\n",
+      "  adding: submit/869c8a77-103f-4b80-b697-fa5d0e2122c4_target.jpg (deflated 0%)\n",
+      "  adding: submit/567f21e7-d06f-4969-bd44-f2b00eb1d721_target.jpg (deflated 0%)\n",
+      "  adding: submit/4a6b117f-3bcd-4e99-967c-40074ebbd5fc_target.jpg (deflated 0%)\n",
+      "  adding: submit/06026845-b74a-4ebd-9c02-e4f12453a672_target.jpg (deflated 0%)\n",
+      "  adding: submit/507861fe-2e76-4dcb-8898-3d52eb88d87b_target.jpg (deflated 0%)\n",
+      "  adding: submit/f71e5297-c792-4858-a876-b1f4177cb03b_target.jpg (deflated 0%)\n",
+      "  adding: submit/a269fd7d-8872-4f13-bb7f-167559b46e1f_target.jpg (deflated 0%)\n",
+      "  adding: submit/c41e80f1-767b-4df2-a9b2-e86cd90d30eb_target.jpg (deflated 1%)\n",
+      "  adding: submit/f2aa04f7-6ab5-4823-afa0-ff6631362966_target.jpg (deflated 0%)\n",
+      "  adding: submit/bb87cc6b-aef8-447e-8e8e-329fb95b770c_target.jpg (deflated 0%)\n",
+      "  adding: submit/c198409b-5a54-43f0-8e1f-c79f4765d240_target.jpg (deflated 0%)\n",
+      "  adding: submit/53be5ba0-9611-4bfc-bdc5-b0155bfedaed_target.jpg (deflated 0%)\n",
+      "  adding: submit/f92c7c29-ab64-46d4-91fa-cc75419247bd_target.jpg (deflated 0%)\n",
+      "  adding: submit/6cd817cd-57e3-48c3-bbe7-f38e52b9a017_target.jpg (deflated 0%)\n",
+      "  adding: submit/e031c0fc-6129-4632-b5de-853ca4a22704_target.jpg (deflated 0%)\n",
+      "  adding: submit/52f73e77-e6c9-4ce2-8eaa-2781b906e7f1_target.jpg (deflated 0%)\n",
+      "  adding: submit/8da5890c-7ff3-4ae0-a44d-26a20e293b3a_target.jpg (deflated 1%)\n",
+      "  adding: submit/ea67d489-0aff-4468-a49c-38907aeb5519_target.jpg (deflated 0%)\n",
+      "  adding: submit/71ad9a85-c4c7-4661-8411-2302f48691bc_target.jpg (deflated 0%)\n",
+      "  adding: submit/41780f5a-517d-4f6d-a028-8e7f8569dde1_target.jpg (deflated 0%)\n",
+      "  adding: submit/1b2f557e-a287-491b-be64-c641e4da73b1_target.jpg (deflated 0%)\n",
+      "  adding: submit/a1ca1ff8-fcec-449b-ad7a-6aea38c40719_target.jpg (deflated 0%)\n",
+      "  adding: submit/edc79cc7-d2c2-4b76-9ec5-b2b2afde714b_target.jpg (deflated 0%)\n",
+      "  adding: submit/c258c523-e4af-49ec-96a1-d0cf90ef1e7f_target.jpg (deflated 0%)\n",
+      "  adding: submit/8983ff56-2d60-4736-9ca4-ed8ce5b93c80_target.jpg (deflated 0%)\n",
+      "  adding: submit/2c968e9f-085b-4369-b40e-076c52e32b9c_target.jpg (deflated 1%)\n",
+      "  adding: submit/c3adc9d1-3adf-47e4-8881-0624f471112a_target.jpg (deflated 1%)\n",
+      "  adding: submit/23796161-aa9e-45b1-bc0b-eb60ae2e9405_target.jpg (deflated 0%)\n",
+      "  adding: submit/4eda1f11-ff45-4433-8b21-27ea23084962_target.jpg (deflated 0%)\n",
+      "  adding: submit/67e2467e-6986-4b45-8c71-93db966d8983_target.jpg (deflated 0%)\n",
+      "  adding: submit/e392d87c-dcc1-48d6-aaea-ec990cbc1b11_target.jpg (deflated 0%)\n",
+      "  adding: submit/3001bae0-4355-4d70-afb6-ac5824ad5df0_target.jpg (deflated 0%)\n",
+      "  adding: submit/5f8b46f7-a4c9-4b9c-a6d0-2b54a2bac779_target.jpg (deflated 0%)\n",
+      "  adding: submit/db297146-1c9a-4682-b326-879479ceb159_target.jpg (deflated 0%)\n",
+      "  adding: submit/28d84ab5-f4cb-44e0-a9bc-d56d24e2f0f7_target.jpg (deflated 1%)\n",
+      "  adding: submit/13b34d46-e744-461a-aafa-cfb11a7d9513_target.jpg (deflated 0%)\n",
+      "  adding: submit/b0d874ee-d070-4b21-b2b9-7eb236786199_target.jpg (deflated 0%)\n",
+      "  adding: submit/922fa083-7b0c-43a9-8f6e-599dd760826d_target.jpg (deflated 0%)\n",
+      "  adding: submit/51fbe12e-6146-4065-8dc7-714b1d79dd56_target.jpg (deflated 1%)\n",
+      "  adding: submit/df24a045-9fe6-4a09-afc4-f7d740356453_target.jpg (deflated 0%)\n",
+      "  adding: submit/4ca4a08f-e742-4517-a0d6-9354a04edb7e_target.jpg (deflated 0%)\n",
+      "  adding: submit/d1c17f1a-392a-4d8a-8ed4-0229ec0a5719_target.jpg (deflated 0%)\n",
+      "  adding: submit/9efb9609-b0ee-43a9-b835-df7cebe2ddbc_target.jpg (deflated 0%)\n",
+      "  adding: submit/cadfadc1-18b2-47a8-8d03-9ae2ac37143e_target.jpg (deflated 0%)\n",
+      "  adding: submit/7c28f576-b91e-4667-88a8-83a5c7f456c8_target.jpg (deflated 0%)\n",
+      "  adding: submit/c32b8b72-049f-4ab7-b964-e313527f9247_target.jpg (deflated 0%)\n",
+      "  adding: submit/57ef5cf0-ad7a-4b77-b4a2-b5e0aa8b4b1d_target.jpg (deflated 0%)\n",
+      "  adding: submit/97bc229d-afb1-4923-a842-cc7b6ebc9bb2_target.jpg (deflated 0%)\n",
+      "  adding: submit/405167b1-7ef1-4ef4-8dfa-cc342500d951_target.jpg (deflated 0%)\n",
+      "  adding: submit/9cab94b4-93f8-47b5-acbd-b520adc87665_target.jpg (deflated 0%)\n",
+      "  adding: submit/98332c42-3bf4-4e99-a4f0-3d586d93152d_target.jpg (deflated 0%)\n",
+      "  adding: submit/0a5a2622-e12b-4430-80bf-b20408c05a8a_target.jpg (deflated 0%)\n",
+      "  adding: submit/097f2c0b-50ac-4aa1-a0d8-9969ab0f8941_target.jpg (deflated 0%)\n",
+      "  adding: submit/11ff9a83-a725-42e0-8502-177f08ba5df9_target.jpg (deflated 0%)\n",
+      "  adding: submit/e3e64f0c-eb35-4ed4-bcca-ddef6da21cbe_target.jpg (deflated 0%)\n",
+      "  adding: submit/4bfbc6ad-046a-4567-89c0-05c8c8fa8588_target.jpg (deflated 1%)\n",
+      "  adding: submit/b670423c-4ce7-4dcf-bfc5-0de7efcaa269_target.jpg (deflated 0%)\n",
+      "  adding: submit/8e5aa82d-ed80-434e-89b2-5f17360334b8_target.jpg (deflated 0%)\n",
+      "  adding: submit/7e790f5a-393a-41d5-80db-e0f14c992cbb_target.jpg (deflated 0%)\n",
+      "  adding: submit/a6220f2d-bd73-4706-a4e2-c277915f053b_target.jpg (deflated 0%)\n",
+      "  adding: submit/4452fb27-2ecf-43a1-94c2-09270d664e0d_target.jpg (deflated 0%)\n",
+      "  adding: submit/63f8aada-0261-4378-ada9-cc741fb24255_target.jpg (deflated 0%)\n",
+      "  adding: submit/a4bbbf6a-424e-4f6e-90c0-d4b056237af2_target.jpg (deflated 0%)\n",
+      "  adding: submit/572c834f-e43e-4fca-85b5-817cff1c3720_target.jpg (deflated 0%)\n",
+      "  adding: submit/4e03a58f-cb52-4951-ba3c-6a779e9ac0c9_target.jpg (deflated 0%)\n",
+      "  adding: submit/60b66d5b-6565-4c9b-a814-8847e42867b1_target.jpg (deflated 0%)\n",
+      "  adding: submit/34bc676d-1969-4028-a27e-90589b40e82f_target.jpg (deflated 0%)\n",
+      "  adding: submit/e4d47e5c-70f1-43f6-832d-31aeaa260ece_target.jpg (deflated 0%)\n",
+      "  adding: submit/b5230442-f396-41c8-9754-1cd42b66d3a2_target.jpg (deflated 0%)\n",
+      "  adding: submit/73a3e0cb-23b5-4cb3-b652-290175e7189f_target.jpg (deflated 0%)\n",
+      "  adding: submit/52fcbc0e-6a95-4ead-9056-2926917b8bc2_target.jpg (deflated 0%)\n",
+      "  adding: submit/372cb582-1560-43d9-9740-752201392df3_target.jpg (deflated 0%)\n",
+      "  adding: submit/872374ef-f254-488d-8f1a-3083a4c44a22_target.jpg (deflated 0%)\n",
+      "  adding: submit/bdc24305-de8f-4b01-818a-729f42d04c23_target.jpg (deflated 0%)\n",
+      "  adding: submit/5215ccd8-c924-4902-b0b1-157b46ce27ce_target.jpg (deflated 0%)\n",
+      "  adding: submit/c9da11e0-93ee-48f9-9365-7e06287bcb83_target.jpg (deflated 0%)\n",
+      "  adding: submit/8fc7a469-f177-4bf5-9b43-b06e8b9fadce_target.jpg (deflated 0%)\n",
+      "  adding: submit/4cf0a1d0-bdc5-43bf-ab39-863d5032ee1c_target.jpg (deflated 1%)\n",
+      "  adding: submit/619ba6ea-ac6f-49e0-a62b-e01f7f27b860_target.jpg (deflated 0%)\n",
+      "  adding: submit/52b567cb-15fa-4896-8276-9deb6b059325_target.jpg (deflated 1%)\n",
+      "  adding: submit/b970c8f7-2b27-432e-8a46-6da354cac283_target.jpg (deflated 0%)\n",
+      "  adding: submit/fd5adc0e-db29-40a0-b295-493d1d03dd1e_target.jpg (deflated 0%)\n",
+      "  adding: submit/1a56ca95-72e4-4794-a6ce-2981065fa2bc_target.jpg (deflated 0%)\n",
+      "  adding: submit/aa6c6420-6727-4dee-9ac4-c57b3e4618ea_target.jpg (deflated 0%)\n",
+      "  adding: submit/aa000ddf-2fe2-4910-9324-477a0bcb94ba_target.jpg (deflated 0%)\n",
+      "  adding: submit/0d5e9141-ca6d-439e-8cd6-6be5f6e6003d_target.jpg (deflated 0%)\n",
+      "  adding: submit/67dba706-b4af-4e3c-9749-bd34a0d85bcb_target.jpg (deflated 0%)\n",
+      "  adding: submit/8f93a645-5041-40d1-a9c2-e667187eb5f3_target.jpg (deflated 0%)\n",
+      "  adding: submit/7251b840-2d2a-482a-9d8f-bf733b714bb8_target.jpg (deflated 0%)\n",
+      "  adding: submit/b4f28449-099a-4f95-a415-2a0d99a24d48_target.jpg (deflated 0%)\n",
+      "  adding: submit/3eb49861-e830-446a-a30a-f3e452875cbc_target.jpg (deflated 1%)\n",
+      "  adding: submit/fadd776a-e970-418d-be6f-a5699c25df4d_target.jpg (deflated 1%)\n",
+      "  adding: submit/69d5f1da-0dde-4ffb-ae74-7e16cb67b30a_target.jpg (deflated 0%)\n",
+      "  adding: submit/1f2d6231-1962-4b15-859c-1ebba0db6ae1_target.jpg (deflated 0%)\n",
+      "  adding: submit/eccc4ede-7c4f-4942-ba5a-cbade15e3911_target.jpg (deflated 0%)\n",
+      "  adding: submit/9a797829-849f-4965-b586-b1fe1a433780_target.jpg (deflated 1%)\n",
+      "  adding: submit/2c722d63-93c3-42ae-bdb8-07a09dd0a161_target.jpg (deflated 0%)\n",
+      "  adding: submit/928adb0d-b6d2-426d-99e5-cb733eb941a1_target.jpg (deflated 0%)\n",
+      "  adding: submit/74cc9a6c-3d4a-4c68-92b6-81083cda34ae_target.jpg (deflated 0%)\n",
+      "  adding: submit/378dc9e4-5b55-4f17-954a-b7618018769b_target.jpg (deflated 0%)\n",
+      "  adding: submit/b2030ed5-30d4-4019-86c8-f4148c9f2145_target.jpg (deflated 0%)\n"
+     ]
+    }
+   ],
+   "source": [
+    "!zip -r submit.zip submit"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2e3c4c5e-2c0d-4618-a23d-d728fdde7e69",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "py3.11",
+   "language": "python",
+   "name": "py3.11"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}