From 67a043a3b691aeda249d8f10e5bbcc63b3b02666 Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Wed, 15 Jul 2026 12:35:26 +0200
Subject: [PATCH 01/38] rename daily notebooks

---
 notebooks/{data_vis.ipynb => data_vis_sst.ipynb}             | 0
 notebooks/{example_daily.ipynb => example_daily_sst.ipynb}   | 0
 notebooks/{example_hourly.ipynb => example_hourly_sst.ipynb} | 0
 3 files changed, 0 insertions(+), 0 deletions(-)
 rename notebooks/{data_vis.ipynb => data_vis_sst.ipynb} (100%)
 rename notebooks/{example_daily.ipynb => example_daily_sst.ipynb} (100%)
 rename notebooks/{example_hourly.ipynb => example_hourly_sst.ipynb} (100%)

diff --git a/notebooks/data_vis.ipynb b/notebooks/data_vis_sst.ipynb
similarity index 100%
rename from notebooks/data_vis.ipynb
rename to notebooks/data_vis_sst.ipynb
diff --git a/notebooks/example_daily.ipynb b/notebooks/example_daily_sst.ipynb
similarity index 100%
rename from notebooks/example_daily.ipynb
rename to notebooks/example_daily_sst.ipynb
diff --git a/notebooks/example_hourly.ipynb b/notebooks/example_hourly_sst.ipynb
similarity index 100%
rename from notebooks/example_hourly.ipynb
rename to notebooks/example_hourly_sst.ipynb

From 5b3d0df970b6ede1613b37a30e164af17ab6d8d1 Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Wed, 15 Jul 2026 13:09:54 +0200
Subject: [PATCH 02/38] add draft example notebook for watervapor

---
 notebooks/example_hourly_watervapor.ipynb | 386 ++++++++++++++++++++++
 1 file changed, 386 insertions(+)
 create mode 100644 notebooks/example_hourly_watervapor.ipynb

diff --git a/notebooks/example_hourly_watervapor.ipynb b/notebooks/example_hourly_watervapor.ipynb
new file mode 100644
index 0000000..1dab2e6
--- /dev/null
+++ b/notebooks/example_hourly_watervapor.ipynb
@@ -0,0 +1,386 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "7e6644bb-2d85-47ec-af53-f0960f9314e6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "import xarray as xr\n",
+    "import torch\n",
+    "import torch.nn.functional\n",
+    "from climanet.st_encoder_decoder import SpatioTemporalModel\n",
+    "from climanet.utils import pred_to_numpy, set_seed, configure_compute_resources, plot_results, plot_histograms\n",
+    "from climanet.train import train_monthly_model\n",
+    "from climanet.predict import predict_monthly_var\n",
+    "from climanet import STDataset\n",
+    "\n",
+    "from torch.utils.data import random_split\n",
+    "\n",
+    "import time"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d0f5c8e2-693b-4f6e-8e88-e3c002001b24",
+   "metadata": {},
+   "source": [
+    "## Read data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f383c4c8-0199-4092-be12-07be525fdec1",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# without diurnal cycle\n",
+    "data_folder = Path(\"./eso4clima/watervapor\")\n",
+    "run_dir = \"./runs_hourly_watervapor\"\n",
+    "var_name = \"prw\"\n",
+    "\n",
+    "file_names = [data_folder / f\"202001_hr_ERA5_masked_{var_name}.nc\", data_folder / f\"202002_hr_ERA5_masked_{var_name}.nc\"]\n",
+    "hourly_data = xr.open_mfdataset(file_names, chunks={\"time\": 1, \"latitude\": 160, \"longitude\": 160}).sortby(\"lat\")\n",
+    "\n",
+    "file_names = [data_folder / f\"202001_mon_ERA5_full_{var_name}.nc\", data_folder / f\"202002_mon_ERA5_full_{var_name}.nc\"]\n",
+    "monthly_data = xr.open_mfdataset(file_names, chunks={\"time\": 1, \"latitude\": 160, \"longitude\": 160}).sortby(\"lat\")\n",
+    "\n",
+    "file_name = data_folder / \"era5_lsm_bool.nc\"  # downloded from era5 and regridded using the function `regrid_to_boundary_centered_grid`\n",
+    "lsm_mask = xr.open_dataset(file_name)\n",
+    "# lsm_mask = lsm_mask.rename({'latitude': 'lat', 'longitude': 'lon'})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b4be672b-a2c1-4a6f-89a1-2c22cc6cde02",
+   "metadata": {},
+   "source": [
+    "## Subset data (for fast example)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "c61aee7b-6083-4466-883c-19aa9a03cfca",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(1440, 40, 40) (2, 40, 40)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# # coordinates of subset\n",
+    "# lon_subset = slice(-50, 50) \n",
+    "# lat_subset = slice(-30, 10)\n",
+    "\n",
+    "# tiny sample\n",
+    "lon_subset = slice(-10, 10) \n",
+    "lat_subset = slice(-10, 10)\n",
+    "\n",
+    "daily_subset = hourly_data.sel(lon=lon_subset, lat=lat_subset)\n",
+    "monthly_subset = monthly_data.sel(lon=lon_subset, lat=lat_subset)\n",
+    "lsm_subset = lsm_mask.sel(lon=lon_subset, lat=lat_subset)  # True=Land\n",
+    "\n",
+    "print(daily_subset[var_name].shape, monthly_subset[var_name].shape)  # (time, lat, lon)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "65edf290-5a9e-4c88-9701-a6ca84c058ff",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# calculate residuals as target\n",
+    "daily_subset_averaged = daily_subset.resample(time=\"MS\").mean(skipna=True)\n",
+    "daily_subset_averaged[\"time\"] = monthly_subset[\"time\"]\n",
+    "\n",
+    "# Residuals\n",
+    "monthly_subset_res = monthly_subset - daily_subset_averaged"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8b69667c-18f9-4f2b-b7ff-0f737a6e1543",
+   "metadata": {},
+   "source": [
+    "## Train the model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "1ceb7756-f274-4823-bded-87c0f8f16a79",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create the model (small)\n",
+    "set_seed()\n",
+    "\n",
+    "patch_size = (1, 4, 4)\n",
+    "model = SpatioTemporalModel(patch_size=patch_size, overlap=2, embed_dim=64, dropout=0.2, hidden=64)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "a9d056b8-2cb1-42af-94d6-9fb58586dcbc",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Patch grid (m x i x j): 2 x 1 x 1 = 2 patches\n",
+      "Overlap: 32 pixels (height), 32 pixels (width)\n",
+      "2\n"
+     ]
+    }
+   ],
+   "source": [
+    "# create dataset\n",
+    "num_patches = (10, 10)\n",
+    "spatial_patch_size = (patch_size[1]*num_patches[0], patch_size[2]*num_patches[1])\n",
+    "stride = (spatial_patch_size[0] // 5, spatial_patch_size[1] // 5)\n",
+    "\n",
+    "dataset = STDataset(\n",
+    "    input_da=daily_subset[var_name],\n",
+    "    monthly_da=monthly_subset_res[var_name],\n",
+    "    land_mask=lsm_subset[\"lsm\"],\n",
+    "    patch_size=(1, *spatial_patch_size),  # based on the patch_size in model\n",
+    "    stride=stride,\n",
+    "    sh_embed_dim=96,\n",
+    "    sh_order_L = 10,\n",
+    "    is_hourly=True,\n",
+    "    \n",
+    ")\n",
+    "print(len(dataset))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "efa3cc2f-392d-4130-bdc8-2887202d2cb4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1 0 1\n"
+     ]
+    }
+   ],
+   "source": [
+    "# create train test data\n",
+    "generator = torch.Generator().manual_seed(42)\n",
+    "train_size = int(0.6 * len(dataset))\n",
+    "validation_size = int(0.3 * len(dataset))\n",
+    "test_size = len(dataset) - train_size - validation_size\n",
+    "train_dataset, validation_dataset, test_dataset = random_split(dataset, [train_size, validation_size, test_size], generator=generator)\n",
+    "print(len(train_dataset), len(validation_dataset), len(test_dataset))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "945ec311-53b3-4cac-a1e3-d16f4508e7a7",
+   "metadata": {},
+   "source": [
+    "### Start training loop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "67b469b6-5d61-4ff1-a54f-f077965b8979",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Device and resources\n",
+    "compute_threads = 120\n",
+    "dataloader_num_workers = 4\n",
+    "device = \"cpu\"\n",
+    "model = configure_compute_resources(model, device=device, compute_threads=compute_threads, dataloader_num_workers=dataloader_num_workers)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "b9742e67-165f-4b5a-bab0-27b8b0d7070d",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'float' object has no attribute 'item'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mAttributeError\u001b[39m                            Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[9]\u001b[39m\u001b[32m, line 4\u001b[39m\n\u001b[32m      2\u001b[39m \u001b[38;5;66;03m# verbose is True\u001b[39;00m\n\u001b[32m      3\u001b[39m batch_size = \u001b[32m200\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m4\u001b[39m trained_model = \u001b[43mtrain_monthly_model\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m      5\u001b[39m \u001b[43m    \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtrain_dataset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalidation_dataset\u001b[49m\u001b[43m=\u001b[49m\u001b[43mvalidation_dataset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbatch_size\u001b[49m\u001b[43m=\u001b[49m\u001b[43mbatch_size\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnum_epoch\u001b[49m\u001b[43m=\u001b[49m\u001b[32;43m10\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maccumulation_steps\u001b[49m\u001b[43m=\u001b[49m\u001b[32;43m20\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdevice\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdevice\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrun_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrun_dir\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdataloader_num_workers\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdataloader_num_workers\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m      6\u001b[39m \u001b[43m)\u001b[49m\n\u001b[32m      8\u001b[39m total_time = (time.time() - start) / \u001b[32m60.0\u001b[39m\n\u001b[32m      9\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtotal_time\u001b[38;5;132;01m:\u001b[39;00m\u001b[33m.2f\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/Developments/ESO4Clima/ClimaNet/climanet/train.py:131\u001b[39m, in \u001b[36mtrain_monthly_model\u001b[39m\u001b[34m(model, dataset, validation_dataset, shuffle, batch_size, num_epoch, patience, accumulation_steps, optimizer_lr, run_dir, store_model, device, verbose, dataloader_num_workers, verbose_epoch_interval)\u001b[39m\n\u001b[32m    128\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m validation_dataset \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m    129\u001b[39m     \u001b[38;5;66;03m# Store train loss for gap calculation\u001b[39;00m\n\u001b[32m    130\u001b[39m     avg_train_loss = avg_epoch_loss\n\u001b[32m--> \u001b[39m\u001b[32m131\u001b[39m     _, avg_epoch_loss = \u001b[43mpredict_monthly_var\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    132\u001b[39m \u001b[43m        \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    133\u001b[39m \u001b[43m        \u001b[49m\u001b[43mvalidation_dataset\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    134\u001b[39m \u001b[43m        \u001b[49m\u001b[43mbatch_size\u001b[49m\u001b[43m=\u001b[49m\u001b[43mbatch_size\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    135\u001b[39m \u001b[43m        \u001b[49m\u001b[43mdevice\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdevice\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    136\u001b[39m \u001b[43m        \u001b[49m\u001b[43mreturn_numpy\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m    137\u001b[39m \u001b[43m        \u001b[49m\u001b[43msave_predictions\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m    138\u001b[39m \u001b[43m        \u001b[49m\u001b[43mreturn_loss\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m    139\u001b[39m \u001b[43m        \u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m    140\u001b[39m \u001b[43m        \u001b[49m\u001b[43mrun_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrun_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    141\u001b[39m \u001b[43m        \u001b[49m\u001b[43mdataloader_num_workers\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdataloader_num_workers\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    142\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    143\u001b[39m     writer.add_scalar(\u001b[33m\"\u001b[39m\u001b[33mLoss/validation\u001b[39m\u001b[33m\"\u001b[39m, avg_epoch_loss, epoch)\n\u001b[32m    145\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m verbose \u001b[38;5;129;01mand\u001b[39;00m epoch % verbose_epoch_interval == \u001b[32m0\u001b[39m:\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/Developments/ESO4Clima/ClimaNet/climanet/predict.py:152\u001b[39m, in \u001b[36mpredict_monthly_var\u001b[39m\u001b[34m(model, dataset, batch_size, return_numpy, save_predictions, return_loss, device, run_dir, verbose, dataloader_num_workers)\u001b[39m\n\u001b[32m    146\u001b[39m             \u001b[38;5;28mprint\u001b[39m(\n\u001b[32m    147\u001b[39m                 \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mProcessed batch \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mi\u001b[38;5;250m \u001b[39m+\u001b[38;5;250m \u001b[39m\u001b[32m1\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(dataloader)\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m, with loss: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mloss.item()\u001b[38;5;132;01m:\u001b[39;00m\u001b[33m.4f\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m\n\u001b[32m    148\u001b[39m             )\n\u001b[32m    150\u001b[39m         writer.add_scalar(\u001b[33m\"\u001b[39m\u001b[33mProgress/Batch\u001b[39m\u001b[33m\"\u001b[39m, i + \u001b[32m1\u001b[39m, idx)\n\u001b[32m--> \u001b[39m\u001b[32m152\u001b[39m average_loss = \u001b[43maverage_loss\u001b[49m\u001b[43m.\u001b[49m\u001b[43mitem\u001b[49m() / \u001b[38;5;28mlen\u001b[39m(dataloader)\n\u001b[32m    154\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m verbose:\n\u001b[32m    155\u001b[39m     \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mAverage loss over all batches: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00maverage_loss\u001b[38;5;132;01m:\u001b[39;00m\u001b[33m.4f\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n",
+      "\u001b[31mAttributeError\u001b[39m: 'float' object has no attribute 'item'"
+     ]
+    }
+   ],
+   "source": [
+    "start = time.time()\n",
+    "# verbose is True\n",
+    "batch_size = 200\n",
+    "trained_model = train_monthly_model(\n",
+    "    model, train_dataset, validation_dataset=validation_dataset, batch_size=batch_size, num_epoch=10, accumulation_steps=20, device=device, run_dir=run_dir, dataloader_num_workers=dataloader_num_workers,\n",
+    ")\n",
+    "\n",
+    "total_time = (time.time() - start) / 60.0\n",
+    "print(f\"{total_time:.2f}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e27a96aa-5560-47b6-91eb-dc4530dca090",
+   "metadata": {},
+   "source": [
+    "## Inspect results and compare"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7c2deb40-bee8-4973-80f0-9d9485eabf0c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# inference on test data, verbose is True\n",
+    "batch_size = 200\n",
+    "predictions = predict_monthly_var(\n",
+    "    model=f\"{run_dir}/best_model.pth\", dataset=test_dataset, batch_size=batch_size, save_predictions=True, device=device, run_dir=run_dir, dataloader_num_workers=dataloader_num_workers,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "200264a1-c3cb-42d2-95eb-887259ed63cb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# inference on whole dataset\n",
+    "num_patches = (10, 10)\n",
+    "spatial_patch_size = (patch_size[1]*num_patches[0], patch_size[2]*num_patches[1])\n",
+    "\n",
+    "dataset = STDataset(\n",
+    "    input_da=daily_subset[var_name],\n",
+    "    monthly_da=monthly_subset_res[var_name],\n",
+    "    land_mask=lsm_subset[\"lsm\"],\n",
+    "    patch_size=(1, *spatial_patch_size),  # based on the patch_size in model\n",
+    "    sh_embed_dim=96,\n",
+    "    sh_order_L = 10,\n",
+    "    is_hourly=True,    \n",
+    ")\n",
+    "print(len(dataset))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "74c0cfd5-4ebf-4df6-b788-19563a76155b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "batch_size = 200\n",
+    "predictions_res = predict_monthly_var(\n",
+    "    model=f\"{run_dir}/best_model.pth\", dataset=dataset, batch_size=batch_size, verbose=False, save_predictions=True, device=device, run_dir=run_dir, dataloader_num_workers=dataloader_num_workers,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7e2964b3-3fce-4df1-bb97-8677ef3bbfbf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# add to monthly average\n",
+    "predictions = daily_subset_averaged[var_name] + predictions_res[\"predictions\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3b0e3f24-c9d0-48e8-858a-48deb8d000d2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ocean = ~lsm_subset[\"lsm\"].values\n",
+    "masked_target = monthly_subset[var_name].where(ocean)\n",
+    "masked_pred = predictions.where(ocean)\n",
+    "plot_results(masked_target, masked_pred, label=\"SST K\", title=(\"Target\", \"Prediction\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7ba5d204-aefc-4103-8475-c802c603ad3f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "err_baseline = (monthly_subset[var_name] - daily_subset_averaged[var_name])  # M - mean(D)\n",
+    "err_predictions = (monthly_subset[var_name] - predictions)  # M - M_hat\n",
+    "\n",
+    "ocean = ~lsm_subset[\"lsm\"].values\n",
+    "masked_err_baseline = err_baseline.where(ocean) \n",
+    "masked_err_predictions = err_predictions.where(ocean) \n",
+    "\n",
+    "plot_results(masked_err_baseline, masked_err_predictions, label=\"error K\", title=(\"err_Baseline\", \"err_Prediction\"), error=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a7420dc7-fe1b-4f34-a62e-5914091f04b7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plot_histograms(masked_err_baseline, masked_err_predictions, label=\"error K\", legend_labels=(\"err_Baseline\", \"err_Prediction\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7e593e9f-60dd-4054-9267-93fe1f582776",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "climanet",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.14.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From 5545f1fbcbe26fee0a945765d5170879de41c543 Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Thu, 16 Jul 2026 13:47:11 +0200
Subject: [PATCH 03/38] check empty dataset in prediction

---
 climanet/predict.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/climanet/predict.py b/climanet/predict.py
index 0ad5c23..c507dc4 100644
--- a/climanet/predict.py
+++ b/climanet/predict.py
@@ -95,6 +95,10 @@ def predict_monthly_var(
     model.to(device)
     model.eval()
 
+    # Length of the dataset should >=1
+    if len(dataset) < 1:
+        raise ValueError("The dataset is empty. Please provide a non-empty dataset.")
+
     use_cuda = device == "cuda"
     dataloader = DataLoader(
         dataset,

From 0deab33e51d876e58a4934816b0d64f174e6d5d3 Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Thu, 16 Jul 2026 15:36:42 +0200
Subject: [PATCH 04/38] update hourly watervapor notebook

---
 notebooks/example_hourly_watervapor.ipynb | 971 ++++++++++++++++++++--
 1 file changed, 907 insertions(+), 64 deletions(-)

diff --git a/notebooks/example_hourly_watervapor.ipynb b/notebooks/example_hourly_watervapor.ipynb
index 1dab2e6..bc6618e 100644
--- a/notebooks/example_hourly_watervapor.ipynb
+++ b/notebooks/example_hourly_watervapor.ipynb
@@ -18,6 +18,8 @@
     "from climanet import STDataset\n",
     "\n",
     "from torch.utils.data import random_split\n",
+    "from tbparse import SummaryReader\n",
+    "import matplotlib.pyplot as plt\n",
     "\n",
     "import time"
    ]
@@ -45,14 +47,765 @@
     "var_name = \"prw\"\n",
     "\n",
     "file_names = [data_folder / f\"202001_hr_ERA5_masked_{var_name}.nc\", data_folder / f\"202002_hr_ERA5_masked_{var_name}.nc\"]\n",
-    "hourly_data = xr.open_mfdataset(file_names, chunks={\"time\": 1, \"latitude\": 160, \"longitude\": 160}).sortby(\"lat\")\n",
+    "hourly_data = xr.open_mfdataset(file_names, chunks={\"time\": 1, \"latitude\": 80, \"longitude\": 80}).sortby(\"lat\")\n",
     "\n",
     "file_names = [data_folder / f\"202001_mon_ERA5_full_{var_name}.nc\", data_folder / f\"202002_mon_ERA5_full_{var_name}.nc\"]\n",
-    "monthly_data = xr.open_mfdataset(file_names, chunks={\"time\": 1, \"latitude\": 160, \"longitude\": 160}).sortby(\"lat\")\n",
+    "monthly_data = xr.open_mfdataset(file_names, chunks={\"time\": 1, \"latitude\": 80, \"longitude\": 80}).sortby(\"lat\")\n",
     "\n",
     "file_name = data_folder / \"era5_lsm_bool.nc\"  # downloded from era5 and regridded using the function `regrid_to_boundary_centered_grid`\n",
     "lsm_mask = xr.open_dataset(file_name)\n",
-    "# lsm_mask = lsm_mask.rename({'latitude': 'lat', 'longitude': 'lon'})"
+    "# lsm_mask = lsm_mask.rename({'latitude': 'lat', 'longitude': 'lon'})\n",
+    "\n",
+    "# Down sample mask to match the resolution of the monthly data\n",
+    "lsm_mask = lsm_mask.coarsen(lat=2, lon=2, boundary='trim').mean()\n",
+    "# Set <0.5 to 0 and >=0.5 to 1\n",
+    "lsm_mask = (lsm_mask >= 0.5).astype(bool)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "58568e58",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  display: contents;\n",
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+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
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+       "\n",
+       ".xr-group-box {\n",
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+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
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+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2MB\n",
+       "Dimensions:    (time: 2, bnds: 2, lat: 320, lon: 720)\n",
+       "Coordinates:\n",
+       "  * time       (time) datetime64[ns] 16B 2020-01-16T11:30:00 2020-02-15T11:30:00\n",
+       "  * lat        (lat) float32 1kB -79.75 -79.25 -78.75 ... 78.75 79.25 79.75\n",
+       "  * lon        (lon) float32 3kB -179.8 -179.2 -178.8 ... 178.8 179.2 179.8\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) datetime64[ns] 32B dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
+       "    prw        (time, lat, lon) float32 2MB dask.array&lt;chunksize=(1, 320, 720), meta=np.ndarray&gt;\n",
+       "Attributes:\n",
+       "    CDI:                     Climate Data Interface version 2.2.4 (https://mp...\n",
+       "    Conventions:             CF-1.7\n",
+       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
+       "    GRIB_centre:             ecmf\n",
+       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
+       "    history:                 Mon Jul 06 10:02:21 2026: cdo monmean /work/bd08...\n",
+       "    regrid_method:           bilinear\n",
+       "    frequency:               mon\n",
+       "    CDO:                     Climate Data Operators version 2.2.2 (https://mp...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-29e64d1a-1c5a-4e12-b0d0-2eb8b1891af6' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-29e64d1a-1c5a-4e12-b0d0-2eb8b1891af6' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 320</li><li><span class='xr-has-index'>lon</span>: 720</li></ul></div></li><li class='xr-section-item'><input id='section-44f48889-5898-4b67-a5be-ed6fea547bef' class='xr-section-summary-in' type='checkbox' checked /><label for='section-44f48889-5898-4b67-a5be-ed6fea547bef' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-16T11:30:00 2020-02-15T1...</div><input id='attrs-ff86ba65-9ae6-4e84-a302-0a1965857048' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff86ba65-9ae6-4e84-a302-0a1965857048' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba496aa9-e937-4e6c-ae7f-b9b8b4f2f84b' class='xr-var-data-in' type='checkbox'><label for='data-ba496aa9-e937-4e6c-ae7f-b9b8b4f2f84b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-01-16T11:30:00.000000000&#x27;, &#x27;2020-02-15T11:30:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-79.75 -79.25 ... 79.25 79.75</div><input id='attrs-4056878a-fb80-49bd-afa6-be42ad4d2bc2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4056878a-fb80-49bd-afa6-be42ad4d2bc2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e6e636d-edee-45ae-b306-93081100bd31' class='xr-var-data-in' type='checkbox'><label for='data-0e6e636d-edee-45ae-b306-93081100bd31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-79.75, -79.25, -78.75, ...,  78.75,  79.25,  79.75],\n",
+       "      shape=(320,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.8 -179.2 ... 179.2 179.8</div><input id='attrs-2faa4c3c-f975-4635-81e2-edef40e3f719' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2faa4c3c-f975-4635-81e2-edef40e3f719' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28560499-1ee7-42b7-a8d0-71290b71a625' class='xr-var-data-in' type='checkbox'><label for='data-28560499-1ee7-42b7-a8d0-71290b71a625' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-179.75, -179.25, -178.75, ...,  178.75,  179.25,  179.75],\n",
+       "      shape=(720,), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8960fa3d-8153-4767-9ff3-4773f568b715' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8960fa3d-8153-4767-9ff3-4773f568b715' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-45ffa115-769a-4485-9c83-b1609661666f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-45ffa115-769a-4485-9c83-b1609661666f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95866d08-e868-45f1-8378-fc6923f2e3ae' class='xr-var-data-in' type='checkbox'><label for='data-95866d08-e868-45f1-8378-fc6923f2e3ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 32 B </td>\n",
+       "                        <td> 16 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (2, 2) </td>\n",
+       "                        <td> (1, 2) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2 chunks in 5 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> datetime64[ns] numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
+       "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"60.0\" y=\"140.0\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
+       "  <text x=\"140.0\" y=\"60.0\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.0,60.0)\">2</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>prw</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 320, 720), meta=np.ndarray&gt;</div><input id='attrs-bddaa400-e1c7-4afb-af47-96321465482f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bddaa400-e1c7-4afb-af47-96321465482f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5f67a2e-c5ae-4da2-a359-43ef29a40880' class='xr-var-data-in' type='checkbox'><label for='data-a5f67a2e-c5ae-4da2-a359-43ef29a40880' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>atmosphere_mass_content_of_water_vapor</dd><dt><span>long_name :</span></dt><dd>Water Vapor Path</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>GRIB_paramId :</span></dt><dd>137</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tcwv</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>GRIB_shortName :</span></dt><dd>tcwv</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>GRIB_surface :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 1.76 MiB </td>\n",
+       "                        <td> 900.00 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (2, 320, 720) </td>\n",
+       "                        <td> (1, 320, 720) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 2 chunks in 6 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"194\" height=\"118\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-1c14752b-cd84-4ffc-b2fe-825f8ee8e198' class='xr-section-summary-in' type='checkbox' checked /><label for='section-1c14752b-cd84-4ffc-b2fe-825f8ee8e198' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 2.2.4 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>history :</span></dt><dd>Mon Jul 06 10:02:21 2026: cdo monmean /work/bd0854/b380103/eso4clima/output/watervapor/concatenated/202001_day_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/concatenated/202001_mon_ERA5_full_prw.nc\n",
+       "Mon Jul 06 10:02:21 2026: cdo daymean /work/bd0854/b380103/eso4clima/output/watervapor/concatenated/202001_hr_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/concatenated/202001_day_ERA5_full_prw.nc\n",
+       "Mon Jul 06 10:02:16 2026: cdo cat /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200101_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200102_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200103_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200104_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200105_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200106_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200107_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200108_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200109_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200110_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200111_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200112_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200113_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200114_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200115_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200116_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200117_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200118_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200119_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200120_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200121_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200122_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200123_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200124_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200125_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200126_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200127_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200128_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200129_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200130_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200131_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/concatenated/202001_hr_ERA5_full_prw.nc\n",
+       "2026-05-04T06:44 GRIB to CDM+CF via cfgrib-0.9.15.1/ecCodes-2.42.0 with {&quot;source&quot;: &quot;tmp7hm0rmx9/data.grib&quot;, &quot;filter_by_keys&quot;: {&quot;stream&quot;: [&quot;oper&quot;], &quot;stepType&quot;: [&quot;instant&quot;]}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd><dt><span>regrid_method :</span></dt><dd>bilinear</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 2.2.2 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 2MB\n",
+       "Dimensions:    (time: 2, bnds: 2, lat: 320, lon: 720)\n",
+       "Coordinates:\n",
+       "  * time       (time) datetime64[ns] 16B 2020-01-16T11:30:00 2020-02-15T11:30:00\n",
+       "  * lat        (lat) float32 1kB -79.75 -79.25 -78.75 ... 78.75 79.25 79.75\n",
+       "  * lon        (lon) float32 3kB -179.8 -179.2 -178.8 ... 178.8 179.2 179.8\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) datetime64[ns] 32B dask.array<chunksize=(1, 2), meta=np.ndarray>\n",
+       "    prw        (time, lat, lon) float32 2MB dask.array<chunksize=(1, 320, 720), meta=np.ndarray>\n",
+       "Attributes:\n",
+       "    CDI:                     Climate Data Interface version 2.2.4 (https://mp...\n",
+       "    Conventions:             CF-1.7\n",
+       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
+       "    GRIB_centre:             ecmf\n",
+       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
+       "    history:                 Mon Jul 06 10:02:21 2026: cdo monmean /work/bd08...\n",
+       "    regrid_method:           bilinear\n",
+       "    frequency:               mon\n",
+       "    CDO:                     Climate Data Operators version 2.2.2 (https://mp..."
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "monthly_data"
    ]
   },
   {
@@ -73,24 +826,20 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "(1440, 40, 40) (2, 40, 40)\n"
+      "(1440, 80, 200) (2, 80, 200)\n"
      ]
     }
    ],
    "source": [
-    "# # coordinates of subset\n",
-    "# lon_subset = slice(-50, 50) \n",
-    "# lat_subset = slice(-30, 10)\n",
+    "# coordinates of subset\n",
+    "lon_subset = slice(-50, 50) \n",
+    "lat_subset = slice(-30, 10)\n",
     "\n",
-    "# tiny sample\n",
-    "lon_subset = slice(-10, 10) \n",
-    "lat_subset = slice(-10, 10)\n",
-    "\n",
-    "daily_subset = hourly_data.sel(lon=lon_subset, lat=lat_subset)\n",
-    "monthly_subset = monthly_data.sel(lon=lon_subset, lat=lat_subset)\n",
+    "hourly_subset = hourly_data.sel(lon=lon_subset, lat=lat_subset).compute()\n",
+    "monthly_subset = monthly_data.sel(lon=lon_subset, lat=lat_subset).compute()\n",
     "lsm_subset = lsm_mask.sel(lon=lon_subset, lat=lat_subset)  # True=Land\n",
     "\n",
-    "print(daily_subset[var_name].shape, monthly_subset[var_name].shape)  # (time, lat, lon)"
+    "print(hourly_subset[var_name].shape, monthly_subset[var_name].shape)  # (time, lat, lon)"
    ]
   },
   {
@@ -101,11 +850,11 @@
    "outputs": [],
    "source": [
     "# calculate residuals as target\n",
-    "daily_subset_averaged = daily_subset.resample(time=\"MS\").mean(skipna=True)\n",
-    "daily_subset_averaged[\"time\"] = monthly_subset[\"time\"]\n",
+    "hourly_subset_averaged = hourly_subset.resample(time=\"MS\").mean(skipna=True)\n",
+    "hourly_subset_averaged[\"time\"] = monthly_subset[\"time\"]\n",
     "\n",
     "# Residuals\n",
-    "monthly_subset_res = monthly_subset - daily_subset_averaged"
+    "monthly_subset_res = monthly_subset - hourly_subset_averaged"
    ]
   },
   {
@@ -140,9 +889,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Patch grid (m x i x j): 2 x 1 x 1 = 2 patches\n",
+      "Patch grid (m x i x j): 2 x 6 x 21 = 252 patches\n",
       "Overlap: 32 pixels (height), 32 pixels (width)\n",
-      "2\n"
+      "252\n"
      ]
     }
    ],
@@ -153,7 +902,7 @@
     "stride = (spatial_patch_size[0] // 5, spatial_patch_size[1] // 5)\n",
     "\n",
     "dataset = STDataset(\n",
-    "    input_da=daily_subset[var_name],\n",
+    "    input_da=hourly_subset[var_name],\n",
     "    monthly_da=monthly_subset_res[var_name],\n",
     "    land_mask=lsm_subset[\"lsm\"],\n",
     "    patch_size=(1, *spatial_patch_size),  # based on the patch_size in model\n",
@@ -176,7 +925,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "1 0 1\n"
+      "151 75 26\n"
      ]
     }
    ],
@@ -206,9 +955,9 @@
    "outputs": [],
    "source": [
     "# Device and resources\n",
-    "compute_threads = 120\n",
-    "dataloader_num_workers = 4\n",
-    "device = \"cpu\"\n",
+    "compute_threads = 4\n",
+    "dataloader_num_workers = 2\n",
+    "device = \"cpu\" # use cuda if GPU is available\n",
     "model = configure_compute_resources(model, device=device, compute_threads=compute_threads, dataloader_num_workers=dataloader_num_workers)"
    ]
   },
@@ -219,25 +968,31 @@
    "metadata": {},
    "outputs": [
     {
-     "ename": "AttributeError",
-     "evalue": "'float' object has no attribute 'item'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
-      "\u001b[31mAttributeError\u001b[39m                            Traceback (most recent call last)",
-      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[9]\u001b[39m\u001b[32m, line 4\u001b[39m\n\u001b[32m      2\u001b[39m \u001b[38;5;66;03m# verbose is True\u001b[39;00m\n\u001b[32m      3\u001b[39m batch_size = \u001b[32m200\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m4\u001b[39m trained_model = \u001b[43mtrain_monthly_model\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m      5\u001b[39m \u001b[43m    \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtrain_dataset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalidation_dataset\u001b[49m\u001b[43m=\u001b[49m\u001b[43mvalidation_dataset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbatch_size\u001b[49m\u001b[43m=\u001b[49m\u001b[43mbatch_size\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnum_epoch\u001b[49m\u001b[43m=\u001b[49m\u001b[32;43m10\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maccumulation_steps\u001b[49m\u001b[43m=\u001b[49m\u001b[32;43m20\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdevice\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdevice\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrun_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrun_dir\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdataloader_num_workers\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdataloader_num_workers\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m      6\u001b[39m \u001b[43m)\u001b[49m\n\u001b[32m      8\u001b[39m total_time = (time.time() - start) / \u001b[32m60.0\u001b[39m\n\u001b[32m      9\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtotal_time\u001b[38;5;132;01m:\u001b[39;00m\u001b[33m.2f\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Developments/ESO4Clima/ClimaNet/climanet/train.py:131\u001b[39m, in \u001b[36mtrain_monthly_model\u001b[39m\u001b[34m(model, dataset, validation_dataset, shuffle, batch_size, num_epoch, patience, accumulation_steps, optimizer_lr, run_dir, store_model, device, verbose, dataloader_num_workers, verbose_epoch_interval)\u001b[39m\n\u001b[32m    128\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m validation_dataset \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m    129\u001b[39m     \u001b[38;5;66;03m# Store train loss for gap calculation\u001b[39;00m\n\u001b[32m    130\u001b[39m     avg_train_loss = avg_epoch_loss\n\u001b[32m--> \u001b[39m\u001b[32m131\u001b[39m     _, avg_epoch_loss = \u001b[43mpredict_monthly_var\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    132\u001b[39m \u001b[43m        \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    133\u001b[39m \u001b[43m        \u001b[49m\u001b[43mvalidation_dataset\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    134\u001b[39m \u001b[43m        \u001b[49m\u001b[43mbatch_size\u001b[49m\u001b[43m=\u001b[49m\u001b[43mbatch_size\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    135\u001b[39m \u001b[43m        \u001b[49m\u001b[43mdevice\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdevice\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    136\u001b[39m \u001b[43m        \u001b[49m\u001b[43mreturn_numpy\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m    137\u001b[39m \u001b[43m        \u001b[49m\u001b[43msave_predictions\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m    138\u001b[39m \u001b[43m        \u001b[49m\u001b[43mreturn_loss\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m    139\u001b[39m \u001b[43m        \u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m    140\u001b[39m \u001b[43m        \u001b[49m\u001b[43mrun_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrun_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    141\u001b[39m \u001b[43m        \u001b[49m\u001b[43mdataloader_num_workers\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdataloader_num_workers\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    142\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    143\u001b[39m     writer.add_scalar(\u001b[33m\"\u001b[39m\u001b[33mLoss/validation\u001b[39m\u001b[33m\"\u001b[39m, avg_epoch_loss, epoch)\n\u001b[32m    145\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m verbose \u001b[38;5;129;01mand\u001b[39;00m epoch % verbose_epoch_interval == \u001b[32m0\u001b[39m:\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Developments/ESO4Clima/ClimaNet/climanet/predict.py:152\u001b[39m, in \u001b[36mpredict_monthly_var\u001b[39m\u001b[34m(model, dataset, batch_size, return_numpy, save_predictions, return_loss, device, run_dir, verbose, dataloader_num_workers)\u001b[39m\n\u001b[32m    146\u001b[39m             \u001b[38;5;28mprint\u001b[39m(\n\u001b[32m    147\u001b[39m                 \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mProcessed batch \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mi\u001b[38;5;250m \u001b[39m+\u001b[38;5;250m \u001b[39m\u001b[32m1\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(dataloader)\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m, with loss: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mloss.item()\u001b[38;5;132;01m:\u001b[39;00m\u001b[33m.4f\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m\n\u001b[32m    148\u001b[39m             )\n\u001b[32m    150\u001b[39m         writer.add_scalar(\u001b[33m\"\u001b[39m\u001b[33mProgress/Batch\u001b[39m\u001b[33m\"\u001b[39m, i + \u001b[32m1\u001b[39m, idx)\n\u001b[32m--> \u001b[39m\u001b[32m152\u001b[39m average_loss = \u001b[43maverage_loss\u001b[49m\u001b[43m.\u001b[49m\u001b[43mitem\u001b[49m() / \u001b[38;5;28mlen\u001b[39m(dataloader)\n\u001b[32m    154\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m verbose:\n\u001b[32m    155\u001b[39m     \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mAverage loss over all batches: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00maverage_loss\u001b[38;5;132;01m:\u001b[39;00m\u001b[33m.4f\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n",
-      "\u001b[31mAttributeError\u001b[39m: 'float' object has no attribute 'item'"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 0: gap between train and val loss: -0.291461\n",
+      "Epoch 0: best_loss = 0.234995\n",
+      "Epoch 20: gap between train and val loss: 0.001581\n",
+      "Epoch 20: best_loss = 0.146412\n",
+      "Epoch 40: gap between train and val loss: 0.002941\n",
+      "Epoch 40: best_loss = 0.145509\n",
+      "Epoch 60: gap between train and val loss: 0.001709\n",
+      "Epoch 60: best_loss = 0.145403\n",
+      "Epoch 80: gap between train and val loss: 0.004099\n",
+      "Epoch 80: best_loss = 0.145300\n",
+      "Training complete. Best loss: 0.145300\n",
+      "Model saved to runs_hourly_watervapor/best_model.pth\n",
+      "63.05\n"
      ]
     }
    ],
    "source": [
     "start = time.time()\n",
     "# verbose is True\n",
-    "batch_size = 200\n",
+    "batch_size = 10\n",
     "trained_model = train_monthly_model(\n",
-    "    model, train_dataset, validation_dataset=validation_dataset, batch_size=batch_size, num_epoch=10, accumulation_steps=20, device=device, run_dir=run_dir, dataloader_num_workers=dataloader_num_workers,\n",
+    "    model, train_dataset, validation_dataset=validation_dataset, batch_size=batch_size, num_epoch=100, accumulation_steps=20, device=device, run_dir=run_dir, dataloader_num_workers=dataloader_num_workers,\n",
     ")\n",
     "\n",
     "total_time = (time.time() - start) / 60.0\n",
@@ -254,13 +1009,66 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
+   "id": "343c5dce",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x77486d6ab770>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Load saved training status with tbparse.SummaryReader\n",
+    "reader = SummaryReader(run_dir)\n",
+    "\n",
+    "# plot training and validation loss\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "train_loss = reader.scalars[reader.scalars[\"tag\"] == \"Loss/train\"]\n",
+    "validation_loss = reader.scalars[reader.scalars[\"tag\"] == \"Loss/validation\"]\n",
+    "plt.plot(train_loss[\"step\"], train_loss[\"value\"], label=\"Train Loss\")\n",
+    "plt.plot(validation_loss[\"step\"], validation_loss[\"value\"], label=\"Validation Loss\")\n",
+    "plt.xlabel(\"Step\")\n",
+    "plt.ylabel(\"Loss\")\n",
+    "plt.legend()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
    "id": "7c2deb40-bee8-4973-80f0-9d9485eabf0c",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Processed batch 1/2, with loss: 0.1680\n",
+      "Processed batch 2/2, with loss: 0.1741\n",
+      "Average loss over all batches: 0.1710\n",
+      "Predictions saved to './runs_hourly_watervapor'\n"
+     ]
+    }
+   ],
    "source": [
     "# inference on test data, verbose is True\n",
-    "batch_size = 200\n",
+    "batch_size = 20\n",
     "predictions = predict_monthly_var(\n",
     "    model=f\"{run_dir}/best_model.pth\", dataset=test_dataset, batch_size=batch_size, save_predictions=True, device=device, run_dir=run_dir, dataloader_num_workers=dataloader_num_workers,\n",
     ")"
@@ -268,17 +1076,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "id": "200264a1-c3cb-42d2-95eb-887259ed63cb",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Patch grid (m x i x j): 2 x 2 x 5 = 20 patches\n",
+      "Overlap: 0 pixels (height), 0 pixels (width)\n",
+      "20\n"
+     ]
+    }
+   ],
    "source": [
     "# inference on whole dataset\n",
     "num_patches = (10, 10)\n",
     "spatial_patch_size = (patch_size[1]*num_patches[0], patch_size[2]*num_patches[1])\n",
     "\n",
     "dataset = STDataset(\n",
-    "    input_da=daily_subset[var_name],\n",
+    "    input_da=hourly_subset[var_name],\n",
     "    monthly_da=monthly_subset_res[var_name],\n",
     "    land_mask=lsm_subset[\"lsm\"],\n",
     "    patch_size=(1, *spatial_patch_size),  # based on the patch_size in model\n",
@@ -291,7 +1109,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "id": "74c0cfd5-4ebf-4df6-b788-19563a76155b",
    "metadata": {},
    "outputs": [],
@@ -304,67 +1122,92 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "id": "7e2964b3-3fce-4df1-bb97-8677ef3bbfbf",
    "metadata": {},
    "outputs": [],
    "source": [
     "# add to monthly average\n",
-    "predictions = daily_subset_averaged[var_name] + predictions_res[\"predictions\"]"
+    "predictions = hourly_subset_averaged[var_name] + predictions_res[\"predictions\"]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "id": "3b0e3f24-c9d0-48e8-858a-48deb8d000d2",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x800 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "ocean = ~lsm_subset[\"lsm\"].values\n",
     "masked_target = monthly_subset[var_name].where(ocean)\n",
     "masked_pred = predictions.where(ocean)\n",
-    "plot_results(masked_target, masked_pred, label=\"SST K\", title=(\"Target\", \"Prediction\"))"
+    "plot_results(masked_target, masked_pred, label=\"Water Vapour kg/m2\", title=(\"Target\", \"Prediction\"))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "id": "7ba5d204-aefc-4103-8475-c802c603ad3f",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x800 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "err_baseline = (monthly_subset[var_name] - daily_subset_averaged[var_name])  # M - mean(D)\n",
+    "err_baseline = (monthly_subset[var_name] - hourly_subset_averaged[var_name])  # M - mean(D)\n",
     "err_predictions = (monthly_subset[var_name] - predictions)  # M - M_hat\n",
     "\n",
     "ocean = ~lsm_subset[\"lsm\"].values\n",
     "masked_err_baseline = err_baseline.where(ocean) \n",
     "masked_err_predictions = err_predictions.where(ocean) \n",
     "\n",
-    "plot_results(masked_err_baseline, masked_err_predictions, label=\"error K\", title=(\"err_Baseline\", \"err_Prediction\"), error=True)"
+    "plot_results(masked_err_baseline, masked_err_predictions, label=\"error kg/m2\", title=(\"err_Baseline\", \"err_Prediction\"), error=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "id": "a7420dc7-fe1b-4f34-a62e-5914091f04b7",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x800 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "plot_histograms(masked_err_baseline, masked_err_predictions, label=\"error K\", legend_labels=(\"err_Baseline\", \"err_Prediction\"))"
+    "plot_histograms(masked_err_baseline, masked_err_predictions, label=\"error kg/m2\", legend_labels=(\"err_Baseline\", \"err_Prediction\"))"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7e593e9f-60dd-4054-9267-93fe1f582776",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "climanet",
+   "display_name": "climanet (3.14.0)",
    "language": "python",
    "name": "python3"
   },

From 1dea21d6287140e864ee05a90fe717b8f40f2d17 Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Thu, 16 Jul 2026 15:42:12 +0200
Subject: [PATCH 05/38] initiate loss as zero tensor

---
 climanet/predict.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/climanet/predict.py b/climanet/predict.py
index c507dc4..4649b8b 100644
--- a/climanet/predict.py
+++ b/climanet/predict.py
@@ -120,7 +120,7 @@ def predict_monthly_var(
 
     with torch.inference_mode():
         idx = 0
-        average_loss = 0.0
+        average_loss = torch.tensor(0.0, device=device)
         for i, batch in enumerate(dataloader):
             # Move batch to the appropriate device
             batch = {k: v.to(device, non_blocking=use_cuda) for k, v in batch.items()}

From 3ac2df40d3c5109c622d4618dc1cdeae8950409e Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Thu, 16 Jul 2026 15:51:18 +0200
Subject: [PATCH 06/38] update notebook

---
 notebooks/example_hourly_watervapor.ipynb | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/notebooks/example_hourly_watervapor.ipynb b/notebooks/example_hourly_watervapor.ipynb
index bc6618e..e2b4ff1 100644
--- a/notebooks/example_hourly_watervapor.ipynb
+++ b/notebooks/example_hourly_watervapor.ipynb
@@ -34,7 +34,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "f383c4c8-0199-4092-be12-07be525fdec1",
    "metadata": {
     "scrolled": true
@@ -54,7 +54,7 @@
     "\n",
     "file_name = data_folder / \"era5_lsm_bool.nc\"  # downloded from era5 and regridded using the function `regrid_to_boundary_centered_grid`\n",
     "lsm_mask = xr.open_dataset(file_name)\n",
-    "# lsm_mask = lsm_mask.rename({'latitude': 'lat', 'longitude': 'lon'})\n",
+    "lsm_mask = lsm_mask.rename({'latitude': 'lat', 'longitude': 'lon'})\n",
     "\n",
     "# Down sample mask to match the resolution of the monthly data\n",
     "lsm_mask = lsm_mask.coarsen(lat=2, lon=2, boundary='trim').mean()\n",

From 3e55c64d6bf44b2bcdad0e5bd9200a6dc0bf7c53 Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Tue, 21 Jul 2026 15:06:34 +0200
Subject: [PATCH 07/38] changed loss to float

---
 climanet/predict.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/climanet/predict.py b/climanet/predict.py
index 4649b8b..c507dc4 100644
--- a/climanet/predict.py
+++ b/climanet/predict.py
@@ -120,7 +120,7 @@ def predict_monthly_var(
 
     with torch.inference_mode():
         idx = 0
-        average_loss = torch.tensor(0.0, device=device)
+        average_loss = 0.0
         for i, batch in enumerate(dataloader):
             # Move batch to the appropriate device
             batch = {k: v.to(device, non_blocking=use_cuda) for k, v in batch.items()}

From 9e289e3b167f006d4e704e5fdb6c59ed7ff51e52 Mon Sep 17 00:00:00 2001
From: SarahAlidoost <f.alidoost@esciencecenter.nl>
Date: Wed, 26 Aug 2026 13:01:41 +0200
Subject: [PATCH 08/38] rename patch with crop in dataset and predict module

---
 climanet/dataset.py | 154 ++++++++++++++++++++++----------------------
 climanet/predict.py |   6 +-
 2 files changed, 80 insertions(+), 80 deletions(-)

diff --git a/climanet/dataset.py b/climanet/dataset.py
index 6dddec4..086111b 100644
--- a/climanet/dataset.py
+++ b/climanet/dataset.py
@@ -27,14 +27,14 @@ class DataLoaderConfig:
 
 
 class STDataset(Dataset):
-    """Dataset for spatiotemporal patches.
+    """Dataset for spatiotemporal data crops.
 
     This class provides a PyTorch Dataset interface for spatiotemporal data,
-    allowing for the extraction of patches from daily/hourly and monthly data
+    allowing for the extraction of data crops from daily/hourly and monthly data
     arrays. The `input_da` is expected to be a daily or hourly data array, while
-    the `monthly_da` is a monthly data array. To extract monthly patches, the
+    the `monthly_da` is a monthly data array. To extract monthly data crops, the
     `input_da` and `monthly_da` are reshaped internally to have a month
-    dimension, and the patches are extracted accordingly.
+    dimension, and the data crops are extracted accordingly.
     """
 
     def __init__(
@@ -46,7 +46,7 @@ def __init__(
         time_features: xr.DataArray,
         land_mask: xr.DataArray = None,
         spatial_dims: tuple[str, str] = ("lat", "lon"),
-        patch_size: tuple[int, int, int] = (1, 16, 16),  # (Month, lat, lon)
+        crop_size: tuple[int, int, int] = (1, 16, 16),  # (Month, lat, lon)
         stride: tuple[int, int] = None,
         sh_embed_dim: int = 96,  # sh_embed_dim should <= (sh_order_L + 1)**2
         sh_order_L: int = 10,
@@ -62,14 +62,14 @@ def __init__(
             padded_days_mask: xarray DataArray with padded days mask for input_da (time, H, W)
             land_mask: Optional xarray DataArray with land mask (H, W) or (1, H, W)
             spatial_dims: Tuple of (lat_dim, lon_dim) names in the input data
-            patch_size: Tuple of (patch_time, patch_height, patch_width) in time
+            crop_size: Tuple of (crop_time, crop_height, crop_width) in time
                 unit and pixels in monthly data. For example, (1, 16, 16) means
                 1 month, 16 pixels height, 16 pixels width. For this, the
                 spatial resolution of `input_da` and `monthly_da` must match. To
-                extract monthly patches, the `input_da` and `monthly_da` are
-                reshaped internally to have a month dimension, and the patches are
+                extract monthly data crops, the `input_da` and `monthly_da` are
+                reshaped internally to have a month dimension, and the data crops are
                 extracted accordingly.
-            stride: Tuple of (stride_height, stride_width) in pixels. If None, defaults to patch_size (non-overlapping patches).
+            stride: Tuple of (stride_height, stride_width) in pixels. If None, defaults to crop_size (non-overlapping data crops).
             sh_pos_table: Optional path to precomputed spherical harmonics position embeddings.
             sh_embed_dim: Dimension of the spherical harmonics embedding.
             sh_order_L: Order of the spherical harmonics.
@@ -77,7 +77,7 @@ def __init__(
             load_lazy: If True, use data lazily with zarr backend. This may slow down getitem but saves memory.
         """
         self.spatial_dims = spatial_dims
-        self.patch_size = patch_size
+        self.crop_size = crop_size
         self.input_da = input_da
         self.input_da_nan_mask = input_da_nan_mask
         self.monthly_da = monthly_da
@@ -85,7 +85,7 @@ def __init__(
         self.time_features = time_features
         self.land_mask = land_mask
 
-        self.stride = stride if stride is not None else (patch_size[1], patch_size[2])
+        self.stride = stride if stride is not None else (crop_size[1], crop_size[2])
 
         self.sh_embed_dim = sh_embed_dim
         self.sh_order_L = sh_order_L
@@ -98,11 +98,11 @@ def __init__(
                 raise ValueError(f"Spatial dimension '{dim}' not found in input data")
 
         if (
-            patch_size[1] > input_da.sizes[spatial_dims[0]]
-            or patch_size[2] > input_da.sizes[spatial_dims[1]]
+            crop_size[1] > input_da.sizes[spatial_dims[0]]
+            or crop_size[2] > input_da.sizes[spatial_dims[1]]
         ):
             raise ValueError(
-                f"Patch size {patch_size} is larger than data dimensions {input_da.sizes}"
+                f"Crop size {crop_size} is larger than data dimensions {input_da.sizes}"
             )
 
         # Materialize data arrays to contiguous tensors for efficient access
@@ -136,12 +136,12 @@ def __init__(
         self.lon_coords = torch.from_numpy(input_da[spatial_dims[1]].to_numpy().copy())
 
         # Pre-build zero land tensor for the no-mask case
-        _, ph, pw = self.patch_size
+        _, ph, pw = self.crop_size
         self._zero_land = torch.zeros(ph, pw, dtype=torch.bool)
 
-        # Precompute lazy index mapping for patches
+        # Precompute lazy index mapping for data crops
         M, H, W = self.input_da.shape[0], self.input_da.shape[2], self.input_da.shape[3]
-        self.patch_indices = self._compute_patch_indices(M, H, W)
+        self.crop_indices = self._compute_crop_indices(M, H, W)
 
         self.sh_embed_dim_t = torch.tensor(self.sh_embed_dim)
         self.harmonic_order_t = torch.tensor(self.sh_order_L)
@@ -150,40 +150,40 @@ def __init__(
             self.lat_coords, self.lon_coords, self.sh_order_L, self.sh_embed_dim
         )
 
-    def _compute_patch_indices(self, M: int, H: int, W: int) -> list:
-        """Generate patch start indices with coverage warning (overlap support)."""
-        pm, ph, pw = self.patch_size
+    def _compute_crop_indices(self, M: int, H: int, W: int) -> list:
+        """Generate crop start indices with coverage warning (overlap support)."""
+        pm, ph, pw = self.crop_size
         sh, sw = self.stride
 
-        # validate temporal patch size
+        # validate temporal crop size
         if pm > M:
             raise ValueError(
-                f"Temporal patch size {pm} is larger than available months {M}."
+                f"Temporal crop size {pm} is larger than available months {M}."
             )
         if pm < 1:
-            raise ValueError(f"Temporal patch size {pm} must be at least 1.")
+            raise ValueError(f"Temporal crop size {pm} must be at least 1.")
 
         # Validate stride
         if sh > ph or sw > pw:
             warnings.warn(
-                f"Stride {self.stride} is larger than patch size {self.patch_size}. "
-                f"This will leave gaps between patches.",
+                f"Stride {self.stride} is larger than crop size {self.crop_size}. "
+                f"This will leave gaps between data crops.",
                 UserWarning,
             )
 
-        # Compute patch start indices using stride
+        # Compute crop start indices using stride
         # Ensure we don't go out of bounds
         m_starts = list(
             range(0, M - pm + 1, pm)
-        )  # Temporal patches are non-overlapping
+        )  # Temporal data crops are non-overlapping
         i_starts = list(range(0, H - ph + 1, sh))
         j_starts = list(range(0, W - pw + 1, sw))
 
         # Warn if there's incomplete coverage at the edges
         if not i_starts or not j_starts or not m_starts:
             raise ValueError(
-                f"No valid patches can be extracted. Image size ({M}, {H}, {W}) "
-                f"is smaller than patch size {self.patch_size}."
+                f"No valid data crops can be extracted. Image size ({M}, {H}, {W}) "
+                f"is smaller than crop size {self.crop_size}."
             )
 
         # Check edge coverage
@@ -192,9 +192,9 @@ def _compute_patch_indices(self, M: int, H: int, W: int) -> list:
         last_j = j_starts[-1] + pw
         if last_m < M or last_i < H or last_j < W:
             warnings.warn(
-                f"Patches do not fully cover the image. "
+                f"Data crops do not fully cover the image. "
                 f"Uncovered pixels: {M - last_m} in month, {H - last_i} in height, {W - last_j} in width. "
-                f"Consider adjusting stride or adding edge patches.",
+                f"Consider adjusting stride or adding edge data crops.",
                 UserWarning,
             )
 
@@ -207,7 +207,7 @@ def _compute_patch_indices(self, M: int, H: int, W: int) -> list:
         if self.verbose:
             print("Creating dataset:")
             print(
-                f"Patch grid (m x i x j): {len_m} x {len_i} x {len_j} = {len_m * len_i * len_j} patches"
+                f"Crop grid (m x i x j): {len_m} x {len_i} x {len_j} = {len_m * len_i * len_j} data crops"
             )
             print(f"Overlap: {overlap_h} pixels (height), {overlap_w} pixels (width)")
 
@@ -224,124 +224,124 @@ def _prepare_land_mask(self, land_mask):
         return lm
 
     def __len__(self):
-        return len(self.patch_indices)
+        return len(self.crop_indices)
 
     def __getitem__(self, idx):
-        """Get a spatiotemporal patch sample based on the index."""
+        """Get a spatiotemporal crop sample based on the index."""
 
-        if idx < 0 or idx >= len(self.patch_indices):
+        if idx < 0 or idx >= len(self.crop_indices):
             raise IndexError("Index out of range")
 
-        m, i, j = self.patch_indices[idx]
-        pm, ph, pw = self.patch_size
+        m, i, j = self.crop_indices[idx]
+        pm, ph, pw = self.crop_size
 
         if self.load_lazy:
-            daily_t_patch = self.input_da.isel(
+            daily_t_crop = self.input_da.isel(
                 M=slice(m, m + pm),
                 **{
                     self.spatial_dims[0]: slice(i, i + ph),
                     self.spatial_dims[1]: slice(j, j + pw),
                 },
             )
-            daily_t_patch = (
-                torch.from_numpy(daily_t_patch.to_numpy()).contiguous().unsqueeze(0)
+            daily_t_crop = (
+                torch.from_numpy(daily_t_crop.to_numpy()).contiguous().unsqueeze(0)
             )
 
-            daily_nan_mask_t_patch = self.input_da_nan_mask.isel(
+            daily_nan_mask_t_crop = self.input_da_nan_mask.isel(
                 M=slice(m, m + pm),
                 **{
                     self.spatial_dims[0]: slice(i, i + ph),
                     self.spatial_dims[1]: slice(j, j + pw),
                 },
             )
-            daily_nan_mask_t_patch = (
-                torch.from_numpy(daily_nan_mask_t_patch.to_numpy())
+            daily_nan_mask_t_crop = (
+                torch.from_numpy(daily_nan_mask_t_crop.to_numpy())
                 .contiguous()
                 .unsqueeze(0)
             )
 
-            monthly_t_patch = self.monthly_da.isel(
+            monthly_t_crop = self.monthly_da.isel(
                 M=slice(m, m + pm),
                 **{
                     self.spatial_dims[0]: slice(i, i + ph),
                     self.spatial_dims[1]: slice(j, j + pw),
                 },
             )
-            monthly_t_patch = torch.from_numpy(monthly_t_patch.to_numpy()).contiguous()
+            monthly_t_crop = torch.from_numpy(monthly_t_crop.to_numpy()).contiguous()
 
             if self.land_mask is not None:
-                land_t_patch = self.land_mask.isel(
+                land_t_crop = self.land_mask.isel(
                     **{
                         self.spatial_dims[0]: slice(i, i + ph),
                         self.spatial_dims[1]: slice(j, j + pw),
                     },
                 )
-                land_t_patch = self._prepare_land_mask(land_t_patch)
+                land_t_crop = self._prepare_land_mask(land_t_crop)
 
-            daily_timef_patch = self.time_features.isel(M=slice(m, m + pm))
-            daily_timef_patch = torch.from_numpy(
-                daily_timef_patch.to_numpy().astype(np.float32, copy=False)
+            daily_timef_crop = self.time_features.isel(M=slice(m, m + pm))
+            daily_timef_crop = torch.from_numpy(
+                daily_timef_crop.to_numpy().astype(np.float32, copy=False)
             ).contiguous()
 
-            padded_days_mask_patch = self.padded_days_mask.isel(M=slice(m, m + pm))
-            padded_days_mask_patch = torch.from_numpy(
-                padded_days_mask_patch.to_numpy()
+            padded_days_mask_crop = self.padded_days_mask.isel(M=slice(m, m + pm))
+            padded_days_mask_crop = torch.from_numpy(
+                padded_days_mask_crop.to_numpy()
             ).bool()
         else:
-            # Extract the patch data
-            daily_t_patch = self.daily_data_t[
+            # Extract the crop data
+            daily_t_crop = self.daily_data_t[
                 m : m + pm, :, i : i + ph, j : j + pw
             ].unsqueeze(0)  # (1, pm, T, pH, pW)
 
-            daily_nan_mask_t_patch = self.daily_nan_mask_t[
+            daily_nan_mask_t_crop = self.daily_nan_mask_t[
                 m : m + pm, :, i : i + ph, j : j + pw
             ].unsqueeze(0)  # (1, pm, T, pH, pW)
 
-            monthly_t_patch = self.monthly_data_t[m : m + pm, i : i + ph, j : j + pw]
+            monthly_t_crop = self.monthly_data_t[m : m + pm, i : i + ph, j : j + pw]
 
             if self.land_mask_t is not None:
-                land_t_patch = self.land_mask_t[i : i + ph, j : j + pw]
+                land_t_crop = self.land_mask_t[i : i + ph, j : j + pw]
             else:
-                land_t_patch = self._zero_land
+                land_t_crop = self._zero_land
 
-            daily_timef_patch = self.daily_timef_t[m : m + pm]
-            padded_days_mask_patch = self.padded_days_t[m : m + pm]
+            daily_timef_crop = self.daily_timef_t[m : m + pm]
+            padded_days_mask_crop = self.padded_days_t[m : m + pm]
 
         # daily_mask: NaN locations that are NOT land
         # Reshape land_tensor for broadcasting: (pH, pW) → (1, 1, 1, pH, pW)
-        daily_mask_t_patch = daily_nan_mask_t_patch & (
-            ~land_t_patch.unsqueeze(0).unsqueeze(0).unsqueeze(0)
+        daily_mask_t_crop = daily_nan_mask_t_crop & (
+            ~land_t_crop.unsqueeze(0).unsqueeze(0).unsqueeze(0)
         )
 
-        # Extract lat/lon coordinates for this patch
-        lat_patch = self.lat_coords[i : i + ph]  # (H,) -> (pH,)
-        lon_patch = self.lon_coords[j : j + pw]  # (W,) -> (pW,)
+        # Extract lat/lon coordinates for this crop
+        lat_crop = self.lat_coords[i : i + ph]  # (H,) -> (pH,)
+        lon_crop = self.lon_coords[j : j + pw]  # (W,) -> (pW,)
 
         geo_pos_embedding_t = compute_patch_geo_pos_embedding(
             self.geo_pos_t[i : i + ph, j : j + pw],
-            lat_patch,
+            lat_crop,
         )
 
         scale_feature_t = compute_patch_scale_features(
-            lat_patch,
-            lon_patch,
+            lat_crop,
+            lon_crop,
         )
 
         # Convert to dictionary
         return {
-            "daily_patch": daily_t_patch,  # (C=1, pm, T=31, pH, pW)
-            "monthly_patch": monthly_t_patch,  # (pm, pH, pW)
-            "daily_mask_patch": daily_mask_t_patch,  # (C=1, pm, T=31, pH, pW)
-            "land_mask_patch": land_t_patch,  # (pH,pW) True=Land
-            "daily_timef_patch": daily_timef_patch,  # (pm, T=31, 3)
-            "padded_days_mask": padded_days_mask_patch,  # (pm, T=31) True=padded
+            "daily_patch": daily_t_crop,  # (C=1, pm, T=31, pH, pW)
+            "monthly_patch": monthly_t_crop,  # (pm, pH, pW)
+            "daily_mask_patch": daily_mask_t_crop,  # (C=1, pm, T=31, pH, pW)
+            "land_mask_patch": land_t_crop,  # (pH,pW) True=Land
+            "daily_timef_patch": daily_timef_crop,  # (pm, T=31, 3)
+            "padded_days_mask": padded_days_mask_crop,  # (pm, T=31) True=padded
             "scale_feature_patch": scale_feature_t,  # (10,)
             "geo_pos_embedding_patch": geo_pos_embedding_t,  # (sh_embed_dim,)
             "sh_embed_dim": self.sh_embed_dim_t,
             "harmonic_order": self.harmonic_order_t,
             "coords": torch.tensor([m, i, j]),
-            "lat_patch": lat_patch,  # (pH,)
-            "lon_patch": lon_patch,  # (pW,)
+            "lat_patch": lat_crop,  # (pH,)
+            "lon_patch": lon_crop,  # (pW,)
         }
 
     def __getitems__(self, indices):
diff --git a/climanet/predict.py b/climanet/predict.py
index b7dddd9..c7b6005 100644
--- a/climanet/predict.py
+++ b/climanet/predict.py
@@ -44,8 +44,8 @@ def _save_netcdf(
     full_predictions = np.full(
         (len(times), len(lats), len(lons)), np.nan, dtype=predictions.dtype
     )
-    for i, patch_idx in enumerate(indices):
-        month_start, lat_start, lon_start = base_dataset.patch_indices[patch_idx]
+    for i, data_idx in enumerate(indices):
+        month_start, lat_start, lon_start = base_dataset.crop_indices[data_idx]
         full_predictions[
             month_start : month_start + M,
             lat_start : lat_start + H,
@@ -143,7 +143,7 @@ def predict_monthly_var(
     # Initialize an empty list to store predictions
     base_dataset = dataset.dataset if hasattr(dataset, "dataset") else dataset
 
-    M, H, W = base_dataset.patch_size
+    M, H, W = base_dataset.crop_size
     all_predictions = torch.empty(len(dataset), M, H, W, device=device)
 
     # Set up logging

From 9c523e5e63524d2d712058e6f69b643d30b64c56 Mon Sep 17 00:00:00 2001
From: SarahAlidoost <f.alidoost@esciencecenter.nl>
Date: Wed, 26 Aug 2026 13:32:24 +0200
Subject: [PATCH 09/38] fix geo_embeding in the model

---
 climanet/dataset.py            | 60 +++++++++++++++++++++++++++++-----
 climanet/st_encoder_decoder.py | 16 +++++----
 2 files changed, 61 insertions(+), 15 deletions(-)

diff --git a/climanet/dataset.py b/climanet/dataset.py
index 086111b..b7d73c8 100644
--- a/climanet/dataset.py
+++ b/climanet/dataset.py
@@ -45,6 +45,7 @@ def __init__(
         padded_days_mask: xr.DataArray,
         time_features: xr.DataArray,
         land_mask: xr.DataArray = None,
+        model_patch_size: tuple[int, int, int] = (1, 4, 4),  # (Month, lat, lon)
         spatial_dims: tuple[str, str] = ("lat", "lon"),
         crop_size: tuple[int, int, int] = (1, 16, 16),  # (Month, lat, lon)
         stride: tuple[int, int] = None,
@@ -84,6 +85,7 @@ def __init__(
         self.padded_days_mask = padded_days_mask
         self.time_features = time_features
         self.land_mask = land_mask
+        self.model_patch_size = model_patch_size
 
         self.stride = stride if stride is not None else (crop_size[1], crop_size[2])
 
@@ -317,15 +319,9 @@ def __getitem__(self, idx):
         lat_crop = self.lat_coords[i : i + ph]  # (H,) -> (pH,)
         lon_crop = self.lon_coords[j : j + pw]  # (W,) -> (pW,)
 
-        geo_pos_embedding_t = compute_patch_geo_pos_embedding(
-            self.geo_pos_t[i : i + ph, j : j + pw],
-            lat_crop,
-        )
-
-        scale_feature_t = compute_patch_scale_features(
-            lat_crop,
-            lon_crop,
-        )
+        # compute geo_pos_embedding and scale_feature for each model patch within the dataset crop
+        geo_pos_embedding_t = self._compute_patch_geo_pos_embedding(i, j)  # (Hp*Wp, sh_embed_dim)
+        scale_feature_t = self._compute_patch_scale_features(i, j)  # (Hp*Wp, scale_dim)
 
         # Convert to dictionary
         return {
@@ -346,3 +342,49 @@ def __getitem__(self, idx):
 
     def __getitems__(self, indices):
         return [self.__getitem__(i) for i in indices]
+
+    def _compute_patch_geo_pos_embedding(self, i: int, j: int):
+        pm, ph, pw = self.crop_size
+        model_patch_m, model_patch_h, model_patch_w = self.model_patch_size
+        Hp = ph // model_patch_h
+        Wp = pw // model_patch_w
+
+        geo_pos_embeddings_list = []
+        for hi in range(Hp):
+            for wi in range(Wp):
+                # Geo embedding for this model patch within the dataset patch
+                h_start = i + hi * model_patch_h
+                h_end = h_start + model_patch_h
+                w_start = j + wi * model_patch_w
+                w_end = w_start + model_patch_w
+
+                patch_geo = compute_patch_geo_pos_embedding(
+                    self.geo_pos_t[h_start:h_end, w_start:w_end],
+                    self.lat_coords[h_start:h_end],
+                )
+                geo_pos_embeddings_list.append(patch_geo)
+
+        # Shape: (Hp*Wp, sh_embed_dim)
+        return torch.stack(geo_pos_embeddings_list)
+
+    def _compute_patch_scale_features(self, i: int, j: int):
+        pm, ph, pw = self.crop_size
+        model_patch_m, model_patch_h, model_patch_w = self.model_patch_size
+        Hp = ph // model_patch_h
+        Wp = pw // model_patch_w
+
+        scale_features_list = []
+        for hi in range(Hp):
+            for wi in range(Wp):
+                h_start = i + hi * model_patch_h
+                h_end = h_start + model_patch_h
+                w_start = j + wi * model_patch_w
+                w_end = w_start + model_patch_w
+
+                patch_scale = compute_patch_scale_features(
+                    self.lat_coords[h_start:h_end],
+                    self.lon_coords[w_start:w_end],
+                )
+                scale_features_list.append(patch_scale)
+
+        return torch.stack(scale_features_list)  # (Hp*Wp, scale_dim)
\ No newline at end of file
diff --git a/climanet/st_encoder_decoder.py b/climanet/st_encoder_decoder.py
index de10794..b0773ac 100644
--- a/climanet/st_encoder_decoder.py
+++ b/climanet/st_encoder_decoder.py
@@ -787,20 +787,24 @@ def forward(
             )  # (B, M, Hp*Wp, embed_dim)
 
         # Step 3: Add geo position and scale encodings
+        B = geo_pos_embedding_patch.shape[0]
+
         if self.use_checkpoint:
-            geo_emb = checkpoint(
+            geo_emb_flat = checkpoint(
                 self.geo_embedding,
-                geo_pos_embedding_patch,
-                scale_feature_patch,
+                geo_pos_embedding_patch.view(B * Hp * Wp, -1),
+                scale_feature_patch.view(B * Hp * Wp, -1),
                 use_reentrant=False,
             )[:, None, None, :]  # (B,1,1,E)
         else:
-            geo_emb = self.geo_embedding(geo_pos_embedding_patch, scale_feature_patch)[
-                :, None, None, :
-            ]  # (B,1,1,E)
+            geo_emb_flat = self.geo_embedding(
+                geo_pos_embedding_patch.view(B * Hp * Wp, -1),
+                scale_feature_patch.view(B * Hp * Wp, -1)
+            )  # (B*Hp*Wp, E)
 
         # Broadcasting: same geo embedding for all M months at each Hp*Wp location
         # we use weighted mean patch embedding, see `geo_embedding_utils.py`
+        geo_emb = geo_emb_flat.view(B, 1, Hp * Wp, embed_dim)  # (B, 1, Hp*Wp, E)
         x = agg_latent + geo_emb  # (B, M, Hp*Wp, E)
 
         # Step 4: Spatial mixing with Transformer

From 83a0a201cced8f1ecee7f5afd381b43e07466edc Mon Sep 17 00:00:00 2001
From: SarahAlidoost <f.alidoost@esciencecenter.nl>
Date: Wed, 26 Aug 2026 14:21:32 +0200
Subject: [PATCH 10/38] remove spatial transfomer from the model

---
 climanet/st_encoder_decoder.py | 71 +---------------------------------
 1 file changed, 2 insertions(+), 69 deletions(-)

diff --git a/climanet/st_encoder_decoder.py b/climanet/st_encoder_decoder.py
index b0773ac..0004bc3 100644
--- a/climanet/st_encoder_decoder.py
+++ b/climanet/st_encoder_decoder.py
@@ -435,6 +435,7 @@ def __init__(
             nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1),
             nn.GroupNorm(num_groups=8, num_channels=out_channels),
             nn.GELU(),
+
             nn.Dropout2d(dropout),
             nn.Conv2d(out_channels, out_channels, kernel_size=3, padding=1),
             nn.GroupNorm(num_groups=8, num_channels=out_channels),
@@ -568,56 +569,6 @@ def forward(
         return geo_emb
 
 
-class SpatialTransformer(nn.Module):
-    """Spatial Transformer for spatial feature mixing.
-
-    This module applies a standard Transformer encoder to a sequence of spatial tokens
-    (patch embeddings), allowing information to be mixed across all spatial locations.
-
-    Key points:
-        - Uses multi-head self-attention and feedforward layers.
-        - Designed to operate on flattened spatial tokens.
-    """
-
-    def __init__(self, embed_dim=128, depth=2, num_heads=4, mlp_ratio=4.0, dropout=0.0):
-        """Initialize the spatial transformer.
-        Args:
-            embed_dim: Dimension of the embedding. Default is 128.
-                The embedding dimensions are multiples of 64 (e.g., 64, 128,
-                256). This can be tuned.
-            depth: Number of transformer encoder layers. Default is 2. This can be
-                increased for more complex spatial mixing.
-            num_heads: Number of attention heads in each layer. Default is 4.
-                When embed_dim is 128, 4 heads is a common choice.
-            mlp_ratio: Ratio of feedforward hidden dimension to embed_dim. Default is 4.0.
-            dropout: Dropout rate applied to attention and feedforward layers. Default is 0.0.
-        """
-        super().__init__()
-
-        # a single Transformer encoder block that
-        # performs self-attention and feedforward processing
-        encoder_layer = nn.TransformerEncoderLayer(
-            d_model=embed_dim,
-            nhead=num_heads,
-            dim_feedforward=int(embed_dim * mlp_ratio),
-            batch_first=True,
-            dropout=dropout,
-            activation="gelu",
-        )
-        # stack multiple layers to form the full encoder
-        self.enc = nn.TransformerEncoder(encoder_layer, num_layers=depth)
-
-    def forward(self, x):
-        """Forward pass of the spatial transformer.
-        Args:
-            x: Input tensor of shape (B, N, C), where N = number of spatial tokens (H'*W') and
-                C = embedding dimension
-        Returns:
-            Tensor of shape (B, N, C) with spatially mixed features across patches
-        """
-        return self.enc(x)
-
-
 class SpatioTemporalModel(nn.Module):
     """Spatio-Temporal Model for Monthly Prediction.
 
@@ -645,8 +596,6 @@ def __init__(
         patch_size=(1, 4, 4),
         hidden=256,
         overlap=1,
-        spatial_depth=2,
-        spatial_heads=4,
         dropout=0.0,
         sh_dim=96,
         scale_dim=10,
@@ -662,8 +611,6 @@ def __init__(
             overlap: Overlap for deconvolution in the decoder
             max_H: Maximum spatial height for 2D positional encoding
             max_W: Maximum spatial width for 2D positional encoding
-            spatial_depth: Number of layers in the spatial Transformer
-            spatial_heads: Number of attention heads in the spatial Transformer
             dropout: Dropout rate for regularization in various components. Increase it if there is overfitting.
             sh_dim: Dimension of spherical harmonics based pca of geo-position
             scale_dim: Dimension of patch-level patch-scale features
@@ -691,12 +638,7 @@ def __init__(
             scale_dim=scale_dim,
             embed_dim=embed_dim,
         )
-        self.spatial_tr = SpatialTransformer(
-            embed_dim=embed_dim,
-            depth=spatial_depth,
-            num_heads=spatial_heads,
-            dropout=dropout,
-        )
+
         self.decoder = MonthlyConvDecoder(
             embed_dim=embed_dim,
             patch_h=patch_size[1],
@@ -807,15 +749,6 @@ def forward(
         geo_emb = geo_emb_flat.view(B, 1, Hp * Wp, embed_dim)  # (B, 1, Hp*Wp, E)
         x = agg_latent + geo_emb  # (B, M, Hp*Wp, E)
 
-        # Step 4: Spatial mixing with Transformer
-        # spatial transformer input shape = (B, N, C), output shape = (B, N, C) C: embedding dimension
-        # M is folded in B.
-
-        C = x.shape[-1]
-        x = x.reshape(B * M, Hp * Wp, C)
-        x = self.spatial_tr(x)
-        x = x.view(B, M, Hp * Wp, C)
-
         # Step 5: Decode to full-resolution 2D map
         # decoder input shape is (B, M*Hp*Wp, C), C: embedding dimension
         # decoder output shape is (B, M, H, W)

From 63ba353c02a41abe6e5b3bfc5e053114e950b4d0 Mon Sep 17 00:00:00 2001
From: SarahAlidoost <f.alidoost@esciencecenter.nl>
Date: Thu, 27 Aug 2026 12:56:39 +0200
Subject: [PATCH 11/38] add some model improvemnets

---
 climanet/st_encoder_decoder.py | 53 +++++++++++++---------------------
 1 file changed, 20 insertions(+), 33 deletions(-)

diff --git a/climanet/st_encoder_decoder.py b/climanet/st_encoder_decoder.py
index 0004bc3..737cbd5 100644
--- a/climanet/st_encoder_decoder.py
+++ b/climanet/st_encoder_decoder.py
@@ -41,9 +41,6 @@ def __init__(self, in_chans=1, embed_dim=128, patch_size=(1, 4, 4)):
             2 * in_chans, embed_dim, kernel_size=patch_size, stride=patch_size
         )
 
-        # norm is LayerNorm over the embedding dimension to normalize patch embeddings
-        self.norm = nn.LayerNorm(embed_dim)
-
     def forward(self, x, mask):
         """Forward pass with masking support via an additional validity channel.
         Args:
@@ -70,7 +67,6 @@ def forward(self, x, mask):
         x = self.proj(x)
         x = x.flatten(2).transpose(1, 2)
 
-        x = self.norm(x)
         return x
 
 
@@ -267,11 +263,11 @@ def __init__(self, embed_dim=128, dropout=0.0, chunk_size=1024):
 
         # Day scorer (within each month)
         self.day_scorer = nn.Sequential(
-            nn.LayerNorm(embed_dim),  # normalizing features
-            nn.Linear(embed_dim, embed_dim),  # learns temporal feature transformation
-            nn.GELU(),  # adds non-linearity to capture complex temporal patterns
+            nn.LayerNorm(2 * embed_dim),
+            nn.Linear(2 * embed_dim, embed_dim),
+            nn.GELU(),
             nn.Dropout(dropout),
-            nn.Linear(embed_dim, 1),  # project to a single score
+            nn.Linear(embed_dim, 1),
         )
 
         # Cross month mixing
@@ -330,13 +326,19 @@ def forward(self, x, M, time_features, padded_days_mask=None):
         month_emb = self.month_embed(time_features)
         token_emb = temp_emb + month_emb
 
-        day_logits = self.day_scorer(token_emb).squeeze(-1)
+        # Make day attention depend on both the actual daily data
+        # and the temporal/calendar information.
+        token_emb_seq = token_emb.unsqueeze(1)  # (B, 1, M, Tp, C)
+        day_score_input = torch.cat(
+            [seq,token_emb_seq.expand(-1, HW, -1, -1, -1)], dim=-1,
+        )
+
+        day_logits = self.day_scorer(day_score_input).squeeze(-1)
 
         if padded_days_mask is not None:
-            day_logits = day_logits.masked_fill(padded_days_mask, float("-inf"))
+            day_logits = day_logits.masked_fill(padded_days_mask.unsqueeze(1), float("-inf"))
 
-        day_w = torch.softmax(day_logits, dim=-1)
-        day_w = day_w.unsqueeze(1).unsqueeze(-1)
+        day_w = torch.softmax(day_logits, dim=-1).unsqueeze(-1)
 
         # avoid implicit expand copies
         seq = seq.reshape(B, HW, M, Tp, C)
@@ -346,7 +348,6 @@ def forward(self, x, M, time_features, padded_days_mask=None):
 
         # avoid broadcast materialization
         aggregated_month_embed = (token_emb_seq * day_w).sum(dim=3)
-
         month_tokens = month_tokens + aggregated_month_embed
 
         z = month_tokens.reshape(B * HW, M, C)
@@ -379,7 +380,6 @@ def __init__(
         patch_h=4,
         patch_w=4,
         hidden=128,
-        overlap=1,
         dropout=0.0,
     ):
         """
@@ -391,14 +391,11 @@ def __init__(
             patch_w: Patch width
             hidden: Hidden dimension in the decoder for mixing channel features.
                 The default is 128, which can be tuned.
-            overlap: Overlap size for deconvolution. It creates smooth blending
-                between adjacent upsampled patches. Default is 1, no overlap at edges.
             dropout: Dropout rate for regularization in the refinement block. Default is 0.0.
         """
         super().__init__()
         self.patch_h = patch_h
         self.patch_w = patch_w
-        self.overlap = overlap
 
         # Mix channel features on the patch grid (Hp, Wp)
         # Input shape: (B, embed_dim, Hp, Wp) → Output shape: (B, hidden, Hp, Wp)
@@ -408,21 +405,13 @@ def __init__(
         self.proj = nn.Conv2d(in_channels, out_channels, kernel_size=1)
 
         # Upsample to full resolution
-        # With kernel = stride + 2*overlap and padding=overlap,
-        # output size is exact: H = Hp*patch_h, W = Wp*patch_w (no output_padding needed).
-        k_h = patch_h + 2 * overlap
-        k_w = patch_w + 2 * overlap
-        # As spatial size increases, channel count decreases to keep computation
-        # manageable; here  hidden // 2 is a design choice.
         in_channels, out_channels = hidden, hidden // 2
         self.deconv = nn.ConvTranspose2d(
             in_channels,
             out_channels,
-            kernel_size=(k_h, k_w),
+            kernel_size=(patch_h, patch_w),
             stride=(patch_h, patch_w),
-            padding=overlap,
-            output_padding=0,
-            bias=True,
+            padding=0,
         )
 
         # Final conv head to get single channel output kernel_size=3 is the most
@@ -433,12 +422,11 @@ def __init__(
         # Refinement block: a small conv layers to smooth patch boundaries
         self.refine = nn.Sequential(
             nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1),
-            nn.GroupNorm(num_groups=8, num_channels=out_channels),
+            # nn.GroupNorm(num_groups=8, num_channels=out_channels),
             nn.GELU(),
-
             nn.Dropout2d(dropout),
             nn.Conv2d(out_channels, out_channels, kernel_size=3, padding=1),
-            nn.GroupNorm(num_groups=8, num_channels=out_channels),
+            # nn.GroupNorm(num_groups=8, num_channels=out_channels),
             nn.GELU(),
         )
 
@@ -475,7 +463,9 @@ def forward(self, latent, M, out_H, out_W, land_mask=None):
         out = self.deconv(out)  # (B*M, hidden//2, H, W)
 
         # Refinement CNN to smooth boundaries
+        refine_input = out
         out = self.refine(out)  # (B*M, hidden//2, H, W)
+        out = out + refine_input  # Residual connection to preserve original features
 
         # Apply final conv head to get single channel output
         out = self.head(out)  # (B*M, 1, H, W)
@@ -595,7 +585,6 @@ def __init__(
         embed_dim=128,
         patch_size=(1, 4, 4),
         hidden=256,
-        overlap=1,
         dropout=0.0,
         sh_dim=96,
         scale_dim=10,
@@ -608,7 +597,6 @@ def __init__(
             embed_dim: Dimension of the patch embedding
             patch_size: Tuple of (T, H, W) patch sizes for temporal and spatial patching
             hidden: Hidden dimension used in the decoder
-            overlap: Overlap for deconvolution in the decoder
             max_H: Maximum spatial height for 2D positional encoding
             max_W: Maximum spatial width for 2D positional encoding
             dropout: Dropout rate for regularization in various components. Increase it if there is overfitting.
@@ -644,7 +632,6 @@ def __init__(
             patch_h=patch_size[1],
             patch_w=patch_size[2],
             hidden=hidden,
-            overlap=overlap,
             dropout=dropout,
         )
         self.patch_size = patch_size

From 222f2e591c4310d5c8e63a83cdeb314e8ea47e3e Mon Sep 17 00:00:00 2001
From: SarahAlidoost <f.alidoost@esciencecenter.nl>
Date: Thu, 27 Aug 2026 15:49:42 +0200
Subject: [PATCH 12/38] uncomment groupnorm in decoder

---
 climanet/st_encoder_decoder.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/climanet/st_encoder_decoder.py b/climanet/st_encoder_decoder.py
index 737cbd5..39ca4d7 100644
--- a/climanet/st_encoder_decoder.py
+++ b/climanet/st_encoder_decoder.py
@@ -422,11 +422,11 @@ def __init__(
         # Refinement block: a small conv layers to smooth patch boundaries
         self.refine = nn.Sequential(
             nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1),
-            # nn.GroupNorm(num_groups=8, num_channels=out_channels),
+            nn.GroupNorm(num_groups=8, num_channels=out_channels),
             nn.GELU(),
             nn.Dropout2d(dropout),
             nn.Conv2d(out_channels, out_channels, kernel_size=3, padding=1),
-            # nn.GroupNorm(num_groups=8, num_channels=out_channels),
+            nn.GroupNorm(num_groups=8, num_channels=out_channels),
             nn.GELU(),
         )
 

From 0ff075fc2bcc4bea9dee9fa9409278f9a59e6ac3 Mon Sep 17 00:00:00 2001
From: SarahAlidoost <f.alidoost@esciencecenter.nl>
Date: Fri, 28 Aug 2026 15:13:30 +0200
Subject: [PATCH 13/38] improve docstring

---
 climanet/st_encoder_decoder.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/climanet/st_encoder_decoder.py b/climanet/st_encoder_decoder.py
index 39ca4d7..384cfb3 100644
--- a/climanet/st_encoder_decoder.py
+++ b/climanet/st_encoder_decoder.py
@@ -572,7 +572,7 @@ class SpatioTemporalModel(nn.Module):
     The model pipeline:
         1. Encode spatio-temporal patches using VideoEncoder.
         2. Aggregate temporal information for each spatial patch via TemporalAttentionAggregator.
-        3. Add 2D spatial positional encodings and mix spatial features with SpatialTransformer.
+        3. Add 2D spatial positional encodings.
         4. Decode aggregated tokens into a full-resolution 2D map using MonthlyConvDecoder.
 
     Output:
@@ -736,7 +736,7 @@ def forward(
         geo_emb = geo_emb_flat.view(B, 1, Hp * Wp, embed_dim)  # (B, 1, Hp*Wp, E)
         x = agg_latent + geo_emb  # (B, M, Hp*Wp, E)
 
-        # Step 5: Decode to full-resolution 2D map
+        # Step 4: Decode to full-resolution 2D map
         # decoder input shape is (B, M*Hp*Wp, C), C: embedding dimension
         # decoder output shape is (B, M, H, W)
         if self.use_checkpoint:

From 1fb8ba073438b2b87b0d15e5a1e585435d7e5c50 Mon Sep 17 00:00:00 2001
From: SarahAlidoost <f.alidoost@esciencecenter.nl>
Date: Fri, 28 Aug 2026 15:25:36 +0200
Subject: [PATCH 14/38] remove patch from dataset, adjust api in source modules

---
 climanet/dataset.py | 18 +++++++++---------
 climanet/predict.py | 14 +++++++-------
 climanet/train.py   | 14 +++++++-------
 climanet/tune.py    |  9 ++-------
 4 files changed, 25 insertions(+), 30 deletions(-)

diff --git a/climanet/dataset.py b/climanet/dataset.py
index b7d73c8..53f89d4 100644
--- a/climanet/dataset.py
+++ b/climanet/dataset.py
@@ -325,19 +325,19 @@ def __getitem__(self, idx):
 
         # Convert to dictionary
         return {
-            "daily_patch": daily_t_crop,  # (C=1, pm, T=31, pH, pW)
-            "monthly_patch": monthly_t_crop,  # (pm, pH, pW)
-            "daily_mask_patch": daily_mask_t_crop,  # (C=1, pm, T=31, pH, pW)
-            "land_mask_patch": land_t_crop,  # (pH,pW) True=Land
-            "daily_timef_patch": daily_timef_crop,  # (pm, T=31, 3)
+            "input_data": daily_t_crop,  # (C=1, pm, T=31, pH, pW)
+            "monthly_data": monthly_t_crop,  # (pm, pH, pW)
+            "input_data_mask": daily_mask_t_crop,  # (C=1, pm, T=31, pH, pW)
+            "land_mask": land_t_crop,  # (pH,pW) True=Land
+            "input_data_timef": daily_timef_crop,  # (pm, T=31, 3)
             "padded_days_mask": padded_days_mask_crop,  # (pm, T=31) True=padded
-            "scale_feature_patch": scale_feature_t,  # (10,)
-            "geo_pos_embedding_patch": geo_pos_embedding_t,  # (sh_embed_dim,)
+            "scale_feature": scale_feature_t,  # (10,)
+            "geo_pos_embedding": geo_pos_embedding_t,  # (sh_embed_dim,)
             "sh_embed_dim": self.sh_embed_dim_t,
             "harmonic_order": self.harmonic_order_t,
             "coords": torch.tensor([m, i, j]),
-            "lat_patch": lat_crop,  # (pH,)
-            "lon_patch": lon_crop,  # (pW,)
+            "lat": lat_crop,  # (pH,)
+            "lon": lon_crop,  # (pW,)
         }
 
     def __getitems__(self, indices):
diff --git a/climanet/predict.py b/climanet/predict.py
index c7b6005..f959870 100644
--- a/climanet/predict.py
+++ b/climanet/predict.py
@@ -82,17 +82,17 @@ def _move_batch_to_device(batch: dict, device: str):
 def _run_one_batch(model: torch.nn.Module, batch: dict, device: str):
     batch = _move_batch_to_device(batch, device)
     pred = model(
-        batch["daily_patch"],
-        batch["daily_mask_patch"],
-        batch["daily_timef_patch"],
-        batch["land_mask_patch"],
-        batch["geo_pos_embedding_patch"],
-        batch["scale_feature_patch"],
+        batch["input_data"],
+        batch["input_data_mask"],
+        batch["input_data_timef"],
+        batch["land_mask"],
+        batch["geo_pos_embedding"],
+        batch["scale_feature"],
         batch["padded_days_mask"],
     )  # (B, M, H, W)
 
     # Compute masked loss
-    loss = compute_masked_loss(pred, batch["monthly_patch"], batch["land_mask_patch"])
+    loss = compute_masked_loss(pred, batch["monthly_data"], batch["land_mask"])
     return loss, pred
 
 
diff --git a/climanet/train.py b/climanet/train.py
index 682133f..61758e7 100644
--- a/climanet/train.py
+++ b/climanet/train.py
@@ -41,17 +41,17 @@ def _move_batch_to_device(batch: dict, device: str):
 def _run_one_batch(model: torch.nn.Module, batch: dict, device):
     batch = _move_batch_to_device(batch, device)
     pred = model(
-        batch["daily_patch"],
-        batch["daily_mask_patch"],
-        batch["daily_timef_patch"],
-        batch["land_mask_patch"],
-        batch["geo_pos_embedding_patch"],
-        batch["scale_feature_patch"],
+        batch["input_data"],
+        batch["input_data_mask"],
+        batch["input_data_timef"],
+        batch["land_mask"],
+        batch["geo_pos_embedding"],
+        batch["scale_feature"],
         batch["padded_days_mask"],
     )  # (B, M, H, W)
 
     # Compute masked loss
-    return compute_masked_loss(pred, batch["monthly_patch"], batch["land_mask_patch"])
+    return compute_masked_loss(pred, batch["monthly_data"], batch["land_mask"])
 
 
 def _load_checkpoint(model, optimizer, loaded_checkpoint):
diff --git a/climanet/tune.py b/climanet/tune.py
index 6e071f3..7c99799 100644
--- a/climanet/tune.py
+++ b/climanet/tune.py
@@ -26,8 +26,9 @@ def _tune_data_preparation(data_config):
         padded_days_mask=padded_days_mask,
         time_features=time_features,
         land_mask=ray.get(data_config["land_mask_data"]),
-        patch_size=data_config["patch_size"],  # based on the patch_size in model
+        crop_size=data_config["crop_size"],  # based on the patch_size in model
         stride=data_config["stride"],
+        model_patch_size=data_config["model_patch_size"],
         sh_embed_dim=96,
         sh_order_L=10,
         verbose=False,
@@ -73,20 +74,14 @@ def _train(tune_config, static_args):
     set_seed()
 
     patch_size = tune_config["patch_size"]
-    overlap = tune_config["overlap"]
     embed_dim = tune_config["embed_dim"]
     dropout = tune_config["dropout"]
     hidden = tune_config["hidden"]
-    spatial_depth = tune_config["spatial_depth"]
-    spatial_heads = tune_config["spatial_heads"]
     model = SpatioTemporalModel(
         patch_size=(1, patch_size, patch_size),
-        overlap=overlap,
         embed_dim=embed_dim,
         dropout=dropout,
         hidden=hidden,
-        spatial_depth=spatial_depth,
-        spatial_heads=spatial_heads,
     )
 
     _ = train_monthly_model(

From 09c55db3cc5df06e21c05a87aa1ed6b451972fb4 Mon Sep 17 00:00:00 2001
From: SarahAlidoost <f.alidoost@esciencecenter.nl>
Date: Fri, 28 Aug 2026 16:20:07 +0200
Subject: [PATCH 15/38] fix linters

---
 climanet/dataset.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/climanet/dataset.py b/climanet/dataset.py
index 53f89d4..9636e3a 100644
--- a/climanet/dataset.py
+++ b/climanet/dataset.py
@@ -344,8 +344,8 @@ def __getitems__(self, indices):
         return [self.__getitem__(i) for i in indices]
 
     def _compute_patch_geo_pos_embedding(self, i: int, j: int):
-        pm, ph, pw = self.crop_size
-        model_patch_m, model_patch_h, model_patch_w = self.model_patch_size
+        _, ph, pw = self.crop_size
+        _, model_patch_h, model_patch_w = self.model_patch_size
         Hp = ph // model_patch_h
         Wp = pw // model_patch_w
 
@@ -368,8 +368,8 @@ def _compute_patch_geo_pos_embedding(self, i: int, j: int):
         return torch.stack(geo_pos_embeddings_list)
 
     def _compute_patch_scale_features(self, i: int, j: int):
-        pm, ph, pw = self.crop_size
-        model_patch_m, model_patch_h, model_patch_w = self.model_patch_size
+        _, ph, pw = self.crop_size
+        _, model_patch_h, model_patch_w = self.model_patch_size
         Hp = ph // model_patch_h
         Wp = pw // model_patch_w
 

From 814f1515c0503bcd33abe534bb45d47ac1214ed0 Mon Sep 17 00:00:00 2001
From: SarahAlidoost <f.alidoost@esciencecenter.nl>
Date: Fri, 28 Aug 2026 16:37:13 +0200
Subject: [PATCH 16/38] fix tests

---
 tests/test_dataset.py | 32 ++++++++++++++++++--------------
 tests/test_train.py   | 22 +++++++---------------
 2 files changed, 25 insertions(+), 29 deletions(-)

diff --git a/tests/test_dataset.py b/tests/test_dataset.py
index 9d9dd18..2a01ae3 100644
--- a/tests/test_dataset.py
+++ b/tests/test_dataset.py
@@ -64,21 +64,22 @@ def test_len_and_shapes():
         time_features=time_features,
         monthly_da=monthly_da,
         land_mask=land_mask,
-        patch_size=(1, 2, 2),
+        crop_size=(1, 2, 2),
+        model_patch_size=(1, 1, 1),
     )
 
     assert len(dataset) == 4
 
     sample = dataset[0]
     assert torch.equal(sample["coords"], torch.tensor([0, 0, 0]))
-    assert sample["daily_patch"].shape == (1, 1, 31, 2, 2)
-    assert sample["monthly_patch"].shape == (1, 2, 2)
-    assert sample["daily_mask_patch"].shape == (1, 1, 31, 2, 2)
-    assert sample["daily_timef_patch"].shape == (1, 31, 3)
-    assert sample["daily_patch"].dtype == torch.float32
-    assert sample["monthly_patch"].dtype == torch.float32
-    assert sample["daily_mask_patch"].dtype == torch.bool
-    assert sample["daily_timef_patch"].dtype == torch.float32
+    assert sample["input_data"].shape == (1, 1, 31, 2, 2)
+    assert sample["monthly_data"].shape == (1, 2, 2)
+    assert sample["input_data_mask"].shape == (1, 1, 31, 2, 2)
+    assert sample["input_data_timef"].shape == (1, 31, 3)
+    assert sample["input_data"].dtype == torch.float32
+    assert sample["monthly_data"].dtype == torch.float32
+    assert sample["input_data_mask"].dtype == torch.bool
+    assert sample["input_data_timef"].dtype == torch.float32
 
 
 def test_index_bounds():
@@ -93,7 +94,8 @@ def test_index_bounds():
         time_features=time_features,
         monthly_da=monthly_da,
         land_mask=land_mask,
-        patch_size=(1, 2, 2),
+        crop_size=(1, 2, 2),
+        model_patch_size=(1, 1, 1),
     )
 
     with pytest.raises(IndexError):
@@ -115,14 +117,15 @@ def test_index_mapping_and_mask_values():
         time_features=time_features,
         monthly_da=monthly_da,
         land_mask=land_mask,
-        patch_size=(1, 2, 2),
+        crop_size=(1, 2, 2),
+        model_patch_size=(1, 1, 1),
     )
 
     sample = dataset[3]
     assert torch.equal(sample["coords"], torch.tensor([0, 2, 2]))
 
     expected_mask = land_mask.isel(lat=slice(2, 4), lon=slice(2, 4)).to_numpy()
-    assert torch.equal(sample["land_mask_patch"], torch.from_numpy(expected_mask))
+    assert torch.equal(sample["land_mask"], torch.from_numpy(expected_mask))
 
 
 def test_time_feature_generation():
@@ -137,11 +140,12 @@ def test_time_feature_generation():
         time_features=time_features,
         monthly_da=monthly_da,
         land_mask=land_mask,
-        patch_size=(1, 2, 2),
+        crop_size=(1, 2, 2),
+        model_patch_size=(1, 1, 1),
     )
 
     sample = dataset[0]
     expected_time_feature = torch.tensor(
         [np.float32(0.), np.float32(2 * np.pi * 6 / 365.24), np.float32(0.0)]
     )
-    assert torch.equal(sample["daily_timef_patch"][0, 5, :], expected_time_feature)
+    assert torch.equal(sample["input_data_timef"][0, 5, :], expected_time_feature)
diff --git a/tests/test_train.py b/tests/test_train.py
index bf6da45..1691d77 100644
--- a/tests/test_train.py
+++ b/tests/test_train.py
@@ -10,20 +10,14 @@
 def dummy_batch():
     # a dummy batch for testing
     return {
-        "daily_patch": torch.rand(1, 1, 2, 31, 40, 40),
-        "monthly_patch": torch.rand(1, 2, 40, 40),
-        "daily_mask_patch": torch.rand(1, 1, 2, 31, 40, 40) > 0.5,  # boolean mask
-        "land_mask_patch": torch.rand(1, 40, 40) > 0.5,  # boolean mask
-        "daily_timef_patch": torch.rand(1, 2, 31, 3),
+        "input_data": torch.rand(1, 1, 2, 31, 40, 40),
+        "monthly_data": torch.rand(1, 2, 40, 40),
+        "input_data_mask": torch.rand(1, 1, 2, 31, 40, 40) > 0.5,  # boolean mask
+        "land_mask": torch.rand(1, 40, 40) > 0.5,  # boolean mask
+        "input_data_timef": torch.rand(1, 2, 31, 3),
         "padded_days_mask": torch.rand(1, 2, 31) > 0.5,  # boolean mask
-        "scale_feature_patch": torch.rand(1, 10),
-        "geo_pos_embedding_patch": torch.rand(1, 96),
-        "sh_embed_dim": torch.rand(1),
-        "harmonic_order": torch.rand(1),
-        "scale_f_dim": torch.rand(1),
-        "coords": torch.rand(1, 2),
-        "lat_patch": torch.rand(1, 40),
-        "lon_patch": torch.rand(1, 40),
+        "scale_feature": torch.rand(1, 100, 10),
+        "geo_pos_embedding": torch.rand(1, 100, 96),
     }
 
 
@@ -36,7 +30,6 @@ def test_model_meta_device(dummy_batch):
     """
     model = SpatioTemporalModel(
         patch_size=(1, 4, 4),
-        overlap=2,
         embed_dim=64,
         dropout=0.2,
         hidden=64,
@@ -64,7 +57,6 @@ def test_model_fake_tensor(dummy_batch):
     """
     model = SpatioTemporalModel(
         patch_size=(1, 4, 4),
-        overlap=2,
         embed_dim=64,
         dropout=0.2,
         hidden=64,

From 76842bd90c87a361ffc2169cefdc5c2c0aa2917e Mon Sep 17 00:00:00 2001
From: SarahAlidoost <f.alidoost@esciencecenter.nl>
Date: Fri, 28 Aug 2026 16:37:48 +0200
Subject: [PATCH 17/38] fix docstring and comments

---
 climanet/dataset.py            | 4 ++--
 climanet/st_encoder_decoder.py | 2 ++
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/climanet/dataset.py b/climanet/dataset.py
index 9636e3a..4053cfc 100644
--- a/climanet/dataset.py
+++ b/climanet/dataset.py
@@ -331,8 +331,8 @@ def __getitem__(self, idx):
             "land_mask": land_t_crop,  # (pH,pW) True=Land
             "input_data_timef": daily_timef_crop,  # (pm, T=31, 3)
             "padded_days_mask": padded_days_mask_crop,  # (pm, T=31) True=padded
-            "scale_feature": scale_feature_t,  # (10,)
-            "geo_pos_embedding": geo_pos_embedding_t,  # (sh_embed_dim,)
+            "scale_feature": scale_feature_t,  # (Hp*Wp, scale_dim)
+            "geo_pos_embedding": geo_pos_embedding_t,  # (Hp*Wp, sh_embed_dim)
             "sh_embed_dim": self.sh_embed_dim_t,
             "harmonic_order": self.harmonic_order_t,
             "coords": torch.tensor([m, i, j]),
diff --git a/climanet/st_encoder_decoder.py b/climanet/st_encoder_decoder.py
index 384cfb3..32f76c4 100644
--- a/climanet/st_encoder_decoder.py
+++ b/climanet/st_encoder_decoder.py
@@ -655,6 +655,8 @@ def forward(
             daily_timef: Tensor of shape (B, M, T, 2) containing the cyclically phase encoded day-of-year
                 and hour-of-day information for the daily data
             land_mask_patch: Boolean tensor of shape (B, H, W) to mask land areas in the output
+            geo_pos_embedding_patch: Tensor of shape (B, Hp*Wp, sh_embed_dim) containing the geo-positional embeddings for each model patch within the dataset patch
+            scale_feature_patch: Tensor of shape (B, Hp*Wp, scale_dim) containing the scale features for each model patch within the dataset patch
             padded_days_mask: Optional boolean tensor of shape (B, M, T) indicating which day tokens are padded
                  (True for padded tokens). Used to mask out padded tokens in temporal attention.
         Returns:

From e9cdd56760196ad86b4a51b487aaac9654dbed16 Mon Sep 17 00:00:00 2001
From: SarahAlidoost <f.alidoost@esciencecenter.nl>
Date: Fri, 28 Aug 2026 16:43:01 +0200
Subject: [PATCH 18/38] fix nbs

---
 notebooks/example_daily.ipynb  | 235 ++++++++++++---------------------
 notebooks/example_hourly.ipynb |  56 ++++----
 2 files changed, 112 insertions(+), 179 deletions(-)

diff --git a/notebooks/example_daily.ipynb b/notebooks/example_daily.ipynb
index 044d83f..e07c011 100644
--- a/notebooks/example_daily.ipynb
+++ b/notebooks/example_daily.ipynb
@@ -43,13 +43,13 @@
     "var_name = \"tos\"\n",
     "\n",
     "# 1 month train, 1 month validation and test\n",
-    "daily_data = xr.open_mfdataset(data_folder / f\"202101_day_ERA5dc_masked_{var_name}.nc\")\n",
-    "daily_data_validation = xr.open_mfdataset(data_folder / f\"202102_day_ERA5dc_masked_{var_name}.nc\")\n",
-    "daily_data_test = xr.open_mfdataset(data_folder / f\"202103_day_ERA5dc_masked_{var_name}.nc\")\n",
+    "daily_data = xr.open_mfdataset(data_folder / f\"202001_day_ERA5dc_masked_{var_name}.nc\")\n",
+    "daily_data_validation = xr.open_mfdataset(data_folder / f\"202101_day_ERA5dc_masked_{var_name}.nc\")\n",
+    "daily_data_test = xr.open_mfdataset(data_folder / f\"202201_day_ERA5dc_masked_{var_name}.nc\")\n",
     "\n",
-    "monthly_data = xr.open_mfdataset(data_folder / f\"202101_mon_ERA5dc_full_{var_name}.nc\")\n",
-    "monthly_data_validation = xr.open_mfdataset(data_folder / f\"202102_mon_ERA5dc_full_{var_name}.nc\")\n",
-    "monthly_data_test = xr.open_mfdataset(data_folder / f\"202103_mon_ERA5dc_full_{var_name}.nc\")\n",
+    "monthly_data = xr.open_mfdataset(data_folder / f\"202001_mon_ERA5dc_full_{var_name}.nc\")\n",
+    "monthly_data_validation = xr.open_mfdataset(data_folder / f\"202101_mon_ERA5dc_full_{var_name}.nc\")\n",
+    "monthly_data_test = xr.open_mfdataset(data_folder / f\"202201_mon_ERA5dc_full_{var_name}.nc\")\n",
     "\n",
     "file_name = data_folder / \"era5_lsm_bool.nc\"  # downloded from era5 and regridded using the function `regrid_to_boundary_centered_grid`\n",
     "lsm_mask = xr.open_dataset(file_name)\n",
@@ -74,14 +74,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "(31, 160, 400) (1, 160, 400)\n"
+      "(31, 40, 40) (1, 40, 40)\n"
      ]
     }
    ],
    "source": [
     "# coordinates of subset\n",
-    "lon_subset = slice(-50, 50)  # one lon -179.9 is nan, check data\n",
-    "lat_subset = slice(-30, 10)\n",
+    "lon_subset = slice(-0, 10)  # one lon -179.9 is nan, check data\n",
+    "lat_subset = slice(-5, 5)\n",
     "\n",
     "daily_subset = daily_data.sel(lon=lon_subset, lat=lat_subset)\n",
     "monthly_subset = monthly_data.sel(lon=lon_subset, lat=lat_subset)\n",
@@ -125,18 +125,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 5,
    "id": "1ceb7756-f274-4823-bded-87c0f8f16a79",
    "metadata": {},
    "outputs": [],
    "source": [
     "patch_size = (1, 4, 4)\n",
-    "model = SpatioTemporalModel(patch_size=patch_size, overlap=2, embed_dim=64, dropout=0.2, hidden=64)"
+    "model = SpatioTemporalModel(patch_size=patch_size, embed_dim=64, dropout=0.1, hidden=64)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 6,
    "id": "5840197d-3a4f-4942-ac42-f56e0fdaed0f",
    "metadata": {},
    "outputs": [],
@@ -144,7 +144,7 @@
     "# Device and resources\n",
     "device = \"cpu\"\n",
     "compute_threads = 4\n",
-    "dataloader_num_workers = 1\n",
+    "dataloader_num_workers = 0\n",
     "model = configure_compute_resources(model, device=device, compute_threads=compute_threads, dataloader_num_workers=dataloader_num_workers)"
    ]
   },
@@ -173,6 +173,7 @@
    },
    "outputs": [],
    "source": [
+    "# this should be done once\n",
     "data_dir = Path(f\"{run_dir}/data_train\")\n",
     "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = data_preparation(\n",
     "    daily_subset[var_name], monthly_subset[var_name], calculate_residuals=True, is_hourly=False, save_to_zarr=True, run_dir=data_dir,\n",
@@ -204,17 +205,17 @@
      "output_type": "stream",
      "text": [
       "Creating dataset:\n",
-      "Patch grid (m x i x j): 1 x 16 x 46 = 736 patches\n",
+      "Crop grid (m x i x j): 1 x 1 x 1 = 1 data crops\n",
       "Overlap: 32 pixels (height), 32 pixels (width)\n",
-      "736\n"
+      "1\n"
      ]
     }
    ],
    "source": [
     "# create dataset config\n",
-    "num_patches = (10, 10)\n",
-    "spatial_patch_size = (patch_size[1]*num_patches[0], patch_size[2]*num_patches[1])\n",
-    "stride = (spatial_patch_size[0] // 5, spatial_patch_size[1] // 5)\n",
+    "num_subsets = (10, 10)\n",
+    "spatial_crop_size = (patch_size[1]*num_subsets[0], patch_size[2]*num_subsets[1])\n",
+    "stride = (spatial_crop_size[0] // 5, spatial_crop_size[1] // 5)  # for data agumentation\n",
     "\n",
     "dataset_train = STDataset(\n",
     "    input_da=input_da,\n",
@@ -223,12 +224,13 @@
     "    padded_days_mask=padded_days_mask,\n",
     "    time_features=time_features,\n",
     "    land_mask=lsm_subset[\"lsm\"],\n",
-    "    patch_size=(1, *spatial_patch_size),  # based on the patch_size in model\n",
+    "    model_patch_size=patch_size,\n",
+    "    crop_size=(1, *spatial_crop_size),   # based on the patch_size in model\n",
     "    stride=stride,\n",
     "    sh_embed_dim=96,\n",
     "    sh_order_L = 10,\n",
     "    verbose=True,\n",
-    "    load_lazy=True,\n",
+    "    load_lazy=False,   # set it to true when data is large\n",
     ")\n",
     "print(len(dataset_train))"
    ]
@@ -248,6 +250,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "# this should be done once\n",
     "data_dir = f\"{run_dir}/data_validation\"\n",
     "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = data_preparation(\n",
     "    daily_validation_subset[var_name], monthly_validation_subset[var_name], calculate_residuals=True, is_hourly=False, save_to_zarr=True, run_dir=data_dir,\n",
@@ -277,16 +280,16 @@
      "output_type": "stream",
      "text": [
       "Creating dataset:\n",
-      "Patch grid (m x i x j): 1 x 16 x 46 = 736 patches\n",
+      "Crop grid (m x i x j): 1 x 1 x 1 = 1 data crops\n",
       "Overlap: 32 pixels (height), 32 pixels (width)\n",
-      "736\n"
+      "1\n"
      ]
     }
    ],
    "source": [
-    "num_patches = (10, 10)\n",
-    "spatial_patch_size = (patch_size[1]*num_patches[0], patch_size[2]*num_patches[1])\n",
-    "stride = (spatial_patch_size[0] // 5, spatial_patch_size[1] // 5)\n",
+    "num_subsets = (10, 10)\n",
+    "spatial_crop_size = (patch_size[1]*num_subsets[0], patch_size[2]*num_subsets[1])\n",
+    "stride = (spatial_crop_size[0] // 5, spatial_crop_size[1] // 5)  # for data agumentation\n",
     "\n",
     "dataset_validation = STDataset(\n",
     "    input_da=input_da,\n",
@@ -295,12 +298,13 @@
     "    padded_days_mask=padded_days_mask,\n",
     "    time_features=time_features,\n",
     "    land_mask=lsm_subset[\"lsm\"],\n",
-    "    patch_size=(1, *spatial_patch_size),  # based on the patch_size in model\n",
+    "    model_patch_size=patch_size,\n",
+    "    crop_size=(1, *spatial_crop_size),   # based on the patch_size in model\n",
     "    stride=stride,\n",
     "    sh_embed_dim=96,\n",
     "    sh_order_L = 10,\n",
     "    verbose=True,\n",
-    "    load_lazy=True,\n",
+    "    load_lazy=False,  # set it to true when data is large\n",
     ")\n",
     "print(len(dataset_validation))"
    ]
@@ -314,7 +318,7 @@
     {
      "data": {
       "text/plain": [
-       "DataLoaderConfig(batch_size=10, shuffle=True, num_workers=1, pin_memory=False, persistent_workers=True, device='cpu', multiprocessing_context='spawn')"
+       "DataLoaderConfig(batch_size=10, shuffle=True, num_workers=0, pin_memory=False, persistent_workers=False, device='cpu', multiprocessing_context=None)"
       ]
      },
      "execution_count": 13,
@@ -329,26 +333,26 @@
     "    shuffle=True,\n",
     "    num_workers= dataloader_num_workers,\n",
     "    pin_memory=False,\n",
-    "    persistent_workers=True,\n",
+    "    persistent_workers=False,  # set it to true when num_workers >0 and lazy data\n",
     "    device=device,\n",
-    "    multiprocessing_context=\"spawn\", # keep this when num_workers >0 and lazy data\n",
+    "    multiprocessing_context=None, # set it to \"spawn\" when num_workers >0 and lazy data\n",
     ")\n",
     "dataloader_config"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 14,
    "id": "acccd5d8-b4fe-489f-9f3e-0b90b6114334",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "TrainConfig(calculate_residuals=True, num_epoch=100, patience=10, accumulation_steps=2, optimizer_lr=0.001, device='cpu', verbose=True, verbose_epoch_interval=20, tune_checkpoint=False, store_model=True)"
+       "TrainConfig(calculate_residuals=True, num_epoch=100, patience=10, accumulation_steps=2, optimizer_lr=0.001, device='cpu', verbose=True, verbose_epoch_interval=20, tune_checkpoint=False, store_model=True, store_logs=True)"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -380,7 +384,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 15,
    "id": "b9742e67-165f-4b5a-bab0-27b8b0d7070d",
    "metadata": {},
    "outputs": [
@@ -388,20 +392,20 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Epoch 0: gap between train and val loss: -0.043650\n",
-      "Epoch 0: best_loss = 0.027357\n",
-      "Epoch 20: gap between train and val loss: 0.007366\n",
-      "Epoch 20: best_loss = 0.022358\n",
-      "Epoch 40: gap between train and val loss: 0.008106\n",
-      "Epoch 40: best_loss = 0.022358\n",
-      "Epoch 60: gap between train and val loss: 0.008217\n",
-      "Epoch 60: best_loss = 0.022358\n",
-      "Epoch 80: gap between train and val loss: 0.008329\n",
-      "Epoch 80: best_loss = 0.022358\n",
-      "Training complete. Best loss: 0.022358\n",
-      "Model saved to runs_daily/best_model.pth\n",
-      "CPU times: user 1h 19min 40s, sys: 45.8 s, total: 1h 20min 26s\n",
-      "Wall time: 1h 12min 59s\n"
+      "Epoch 0: gap between train and val loss: 0.051503\n",
+      "Epoch 0: best_loss = 0.302883\n",
+      "Epoch 20: gap between train and val loss: 0.002308\n",
+      "Epoch 20: best_loss = 0.046616\n",
+      "Epoch 40: gap between train and val loss: 0.010280\n",
+      "Epoch 40: best_loss = 0.030662\n",
+      "Epoch 60: gap between train and val loss: 0.015593\n",
+      "Epoch 60: best_loss = 0.029539\n",
+      "Epoch 80: gap between train and val loss: 0.016490\n",
+      "Epoch 80: best_loss = 0.029539\n",
+      "Training complete. Best loss: 0.029539\n",
+      "Model saved to /home/sarah/GitHub/ClimaNet/notebooks/runs_daily/best_model.pth\n",
+      "CPU times: user 30.4 s, sys: 281 ms, total: 30.7 s\n",
+      "Wall time: 15.6 s\n"
      ]
     }
    ],
@@ -413,7 +417,7 @@
     "    dataset_train=dataset_train,\n",
     "    dataloader_config=dataloader_config,\n",
     "    training_config=training_config,\n",
-    "    dataset_validation=dataset_validation,\n",
+    "    dataset_validation=dataset_validation,  # here validation dataset is used to improve model generalization\n",
     "    run_dir=run_dir,\n",
     ")"
    ]
@@ -428,13 +432,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 16,
    "id": "a2b81805",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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NjB8/nqCgIB555BFSUlIYM2YM06dP56KLLiI7O5uff/4ZwzAoLi5m1KhRjB8/ng8++ACn08mKFSuwWCye/ScnJ9OyZUsSEhIYO3YsU6dO5c8//6R9+/YA/PHHH6xdu5ZPP/0UgOzsbMaNG8eLL76IYRg8++yzDB8+nC1bthAaGnrU49m1axcXX3wxEydOZMKECfz666/cddddXtsUFBTQt29f7r33XsLCwvjvf//L//3f/9G+fXv69+/P888/z+bNm+nWrZsn9DVv3rxcSFu5ciWXX345jzzyCKNHj2bJkiXcfPPNNG3alGuuucaz3bPPPsvjjz/O/fffzyeffMJNN93EkCFD6Ny587H8kVWbwlV9V/qX110ExU7y3TayCsx/1YgKDyLEbv4R5hfpmisRERGRhuDll18mLi6OmTNnYrFYSEhIYO/evdx7771MmTKFlJQUiouLufjii2nTpg0A3bt3B+DgwYNkZmZywQUXeMJSly5dvPZfdkrgKaecQs+ePXn//fd56KGHAJg9ezaJiYl06NABgLPPPtvr86+++ioRERH89NNPXHDBBUc9nldeeYX27dt7RpA6d+7M77//zlNPPeXZpmXLltx9992e97feeivffvstH330Ef379yc8PBy73U5ISEiV0wCfe+45hg4d6jmWTp06sX79ep5++mmvcDV8+HBuvvlmAO69917+9a9/8eOPPypcnfQCy/zLSFEuqbl2AELsNkIdAQR7rrly+6M6ERERkboXGGKOIPnru4/Thg0bGDhwoNdo06BBg8jJyWH37t307NmToUOH0r17d4YNG8a5557LpZdeSpMmTYiMjOSaa65h2LBhnHPOOSQlJXH55ZcTExMDgGEYfPXVV3z00UeefY8dO5Y333yThx56CMMw+OCDD5g0aZJnfVpaGg8++CALFixg3759uFwu8vLy2LlzZ7WP58iphwMHDvR673K5ePLJJ/noo4/Ys2cPTqeTwsJCQkJ8+3lu2LCBCy+80GvZoEGDmDFjBi6XC5vN/N24R48envUWi4Xo6Gj27dvn03cdC11zVd8F2MFakoGdeV5TAi0WS5lrrjRyJSIiIicJi8Wc3eOPR5lAVFtsNhvz58/nf//7H127duXFF1+kc+fObNu2DYD//Oc/LF26lNNOO405c+bQqVMnli1bBsCKFSsoLi7mtNNO8+xvzJgxbNq0iVWrVrFkyRJ27drF6NGjPevHjRvHmjVreP7551myZAlr1qyhadOmOJ3OGjump59+mueff557772XH3/8kTVr1jBs2LAa/Y6yAgMDvd5bLBbc7tofjFC4agjKdAwsbWYRFWbeOVrdAkVEREQali5durB06VKMMs0xFi9eTGhoKK1atQLMMDBo0CAeffRRVq9ejd1u5/PPP/ds37t3byZPnsySJUvo1q0b77//PmBOCRwxYoRnBAegVatWDBkyhNmzZzN79mzOOeccWrRo4fXdt912G8OHD/c0ijhw4IBPx7NixQqvZaVhr+x3XHjhhVx11VX07NmTdu3asXnzZq9t7HY7LlfVv9N26dKFxYsXl9t3p06dvI7ZXxSuGgJPx8AcrzbsgGdaYJ5uIiwiIiJS72RmZrJmzRqvx4QJE9i1axe33norGzdu5IsvvuDhhx9m0qRJWK1Wli9fzpNPPsmvv/7Kzp07+eyzz9i/fz9dunRh27ZtTJ48maVLl7Jjxw6+++47tmzZ4rnu6ssvv6ywBfvYsWP58MMP+fjjjxk7dqzXuo4dO/Luu++yYcMGli9fztixYwkODq72Md54441s2bKFf/zjH2zatIn333+ft956q9x3zJ8/nyVLlrBhwwZuuOEG0tLSvLaJj49n+fLlbN++nQMHDlQ40nTXXXeRnJzM448/zubNm3n77beZOXOm1/Vc/qRw1RCUjlyVnRYYrpErERERkfpuwYIF9O7d2+vx+OOPM2/ePFasWEHPnj258cYbuf7663nwwQcBCAsLY+HChQwfPpxOnTrx4IMP8uyzz3L++ecTEhLCxo0bueSSS+jUqRMTJkxg4sSJ3HDDDfz5559s3bqVYcOGlavj0ksvJT09nby8vHI3Nn7jjTc4dOgQffr04f/+7/+47bbbvEa2jqZ169Z8+umnzJ07l549ezJr1iyefPJJr20efPBB+vTpw7BhwzjzzDOJjo4uV8fdd9+NzWaja9euNG/evMJrvvr06cNHH33Ehx9+SLdu3ZgyZQqPPfaYVzMLf7IYRg016z+BZGVlER4eTmZmJmFhYf4uB/59BqT8Bld+zI3Lm/LNH6k8OvIUxp0Wz0s/buXpbzdxeb9WTL+0p78rFREREalRBQUFbNu2jbZt2xIUFOTvcuq15557ju+//5558+b5u5QGp6rzzJdsoJGrhqB0WmBRrmdaYOk1V6UNLfKL1C1QRERE5GTWqlUrJk+e7O8yTmpqxd4QlJkWmFbJNVf56hYoIiIiclK7/PLL/V3CSU8jVw2B3ez/7y7MYV92IWC2YofD11zl6ZorERERERG/UrhqCOyNAcjLycLlNrBaoFlj82bCh+9zpXAlIiIiIuJPClcNQcmdwHNzswBoHuogwGb+0YXYzZmd6hYoIiIiJzL1YJPaVFPnl8JVQ1AyLTA/xwxXpVMCoex9rnTNlYiIiJx4AgMDAcjLy/NzJXIiKz2/Ss+3Y6WGFg1BybRAZ342cLiZBZS9z5W6BYqIiMiJx2azERERwb59+wAICQnBYrH4uSo5URiGQV5eHvv27SMiIgKbzXZc+1O4aghKpgUW5+cAR4xcBapboIiIiJzYoqOjATwBS6SmRUREeM6z46Fw1RCUtGJ3OXMBiKpg5CqvyIVhGPqXHBERETnhWCwWYmJiaNGiBUVFRf4uR04wgYGBxz1iVUrhqiHw3OfKDFcVXXNlGFBY7CYosGZODBEREZH6xmaz1dgvwSK1QQ0tGoKSaYG2IvNCu7LhqrRbIKgdu4iIiIiIPylcNQQlI1cBrnzAe1qgzWrBHmD+MebpuisREREREb9RuGoISsJVkGGGq7IjV3D4uquCIo1ciYiIiIj4i8JVQ1AyLTDYUkioI4BGDu9L5Uo7BmpaoIiIiIiI/yhcNQQlI1chFHrd46qU50bCClciIiIiIn6jcNUQlISrRpZCYsLs5VYfvpGwwpWIiIiIiL8oXDUEpa3YgVah5e9jFRJoThPUyJWIiIiIiP8oXDUEAcGel60aGeVWH54WqG6BIiIiIiL+onDVEFitFFrMa61iQtzlVqtboIiIiIiI/ylcNRD5mOEqOqh8gFK3QBERERER/1O4aiByDbORRQtH+al/6hYoIiIiIuJ/ClcNQLHLTbbbAUCko6jcek+3QE0LFBERERHxG4WrBmB/TiF5mOEq3FY+XAXbS7sFqqGFiIiIiIi/KFw1ACmZBeQZZriyFuWVWx+iaYEiIiIiIn4X4O8C5OjSMguwlTS0wJlbbr26BYqIiIiI+J9GrhqA1KwCz7TAisJVkLoFioiIiIj4nUauGoDUrAIcRsnIlaYFioiIiIjUSxq5agDSMqseufJ0C1S4EhERERHxG4WrBuBo0wKDA9UtUERERETE3xSuGoC0rELyqjEtUCNXIiIiIiL+o3BVzxmGQWp1pwWqW6CIiIiIiN8oXNVzWQXF5Be5yFe3QBERERGRek3hqp5LzSwwX9gbm89VTAssLHbjcht1VZqIiIiIiJShcFXPpWaZ4SooJNRc4Mwpt02I/XBHfU0NFBERERHxD4Wrei6tZOQquFGYucBZfuQqKNCKxWK+VsdAERERERH/ULiq50pHrhqHhpsLKpgWaLFYCC657qrA6a6z2kRERERE5LB6Ea5eeukl4uPjCQoKIjExkRUrVlS67Wuvvcbpp59OkyZNaNKkCUlJSeW2v+aaa7BYLF6P8847r7YPo1aUhqvQsJJwVcG0QDh83VVekUauRERERET8we/has6cOUyaNImHH36YVatW0bNnT4YNG8a+ffsq3H7BggWMGTOGH3/8kaVLlxIXF8e5557Lnj17vLY777zzSElJ8Tw++OCDujicGlc6LTAiPMJcUMG0QIBguzoGioiIiIj4k9/D1XPPPcf48eO59tpr6dq1K7NmzSIkJIQ333yzwu1nz57NzTffTK9evUhISOD111/H7XaTnJzstZ3D4SA6OtrzaNKkSV0cTo0rHblqGhlhLnAXQbGz3Hal0wJ1I2EREREREf/wa7hyOp2sXLmSpKQkzzKr1UpSUhJLly6t1j7y8vIoKioiMjLSa/mCBQto0aIFnTt35qabbiI9Pb3SfRQWFpKVleX1qC9uOrM9d53TifYtow4vLCp/r6vgko6BGrkSEREREfGPgKNvUnsOHDiAy+UiKirKa3lUVBQbN26s1j7uvfdeYmNjvQLaeeedx8UXX0zbtm35888/uf/++zn//PNZunQpNput3D6mTp3Ko48+enwHU0su6BF7+I010By5cuZBsPdIXIjnRsK65kpERERExB/8Gq6O17Rp0/jwww9ZsGABQUFBnuVXXHGF53X37t3p0aMH7du3Z8GCBQwdOrTcfiZPnsykSZM877OysoiLi6vd4o+FPQQKMsFZfuSqtKFFge5zJSIiIiLiF36dFtisWTNsNhtpaWley9PS0oiOjq7ys8888wzTpk3ju+++o0ePHlVu265dO5o1a8bWrVsrXO9wOAgLC/N61Ev2xuZzhdMC1dBCRERERMSf/Bqu7HY7ffv29WpGUdqcYuDAgZV+bvr06Tz++ON888039OvX76jfs3v3btLT04mJiamRuv0mMMR8rqBjYIjClYiIiIiIX/m9W+CkSZN47bXXePvtt9mwYQM33XQTubm5XHvttQBcffXVTJ482bP9U089xUMPPcSbb75JfHw8qamppKamkpNj3v8pJyeHf/zjHyxbtozt27eTnJzMhRdeSIcOHRg2bJhfjrHG2BuZzxVMC1S3QBERERER//L7NVejR49m//79TJkyhdTUVHr16sU333zjaXKxc+dOrNbDGfCVV17B6XRy6aWXeu3n4Ycf5pFHHsFms7F27VrefvttMjIyiI2N5dxzz+Xxxx/H4XDU6bHVuNJwpW6BIiIiIiL1jt/DFcAtt9zCLbfcUuG6BQsWeL3fvn17lfsKDg7m22+/raHK6hnPtMDKG1rkF6lboIiIiIiIP/h9WqD4wDMtsPJrrjQtUERERETEPxSuGpIqpwWqoYWIiIiIiD8pXDUk1ZoWqHAlIiIiIuIPClcNSRXTAku7BWrkSkRERETEPxSuGhJPuMopt0rdAkVERERE/EvhqiHxXHNVVUMLdQsUEREREfEHhauGxHPNVeXTAnXNlYiIiIiIfyhcNSRVTAsMUbdAERERERG/8vkmwoWFhSxfvpwdO3aQl5dH8+bN6d27N23btq2N+qSsKqcFmn+Uus+ViIiIiIh/VDtcLV68mOeff56vvvqKoqIiwsPDCQ4O5uDBgxQWFtKuXTsmTJjAjTfeSGhoaG3WfPKqxrTAYreBs9iNPUCDkiIiIiIidalav4GPHDmS0aNHEx8fz3fffUd2djbp6ens3r2bvLw8tmzZwoMPPkhycjKdOnVi/vz5tV33ycne2HyusFugzfNao1ciIiIiInWvWiNXI0aM4NNPPyUwMLDC9e3ataNdu3aMGzeO9evXk5KSUqNFSgl7ychVBdMC7QFWAqwWit0GeUXFhFPxn5WIiIiIiNSOaoWrG264geLio7f4Xr9+PV27dqVr167HXZhUwDMtMLfC1cF2G9kFxRq5EhERERHxg2pfmDN27Ngq169fv56zzz77uAuSKpROCyzKA7e73Gp1DBQRERER8Z9qh6ulS5dy4403Vrhuw4YNnH322Zx22mk1VphUoHRaIEBxfrnVno6ButeViIiIiEidq3a4+vbbb/n000+5//77vZZv3LiRs88+mwEDBvDxxx/XeIFSRkAwYDFfVzA1MChQI1ciIiIiIv5S7VbsXbp0Yd68eQwdOpTIyEjuvvtuNm7cyFlnncWpp57KJ598gs1mO/qO5NhZreZ1V0W5FYar0mmB+c6jXx8nIiIiIiI1y6ebCJ966qnMnTuXCy64gJycHF577TX69u3LJ598QkCAz/cjlmNhP3q40siViIiIiEjd8zkRnX322bz//vtcdtllnHvuuXz++eeVtmiXWmBvBLn7K2zHXnojYV1zJSIiIiJS96odrpo0aYLFYvFa9vPPPxMVFeW17ODBgzVTmVQssJH5XOW0QIUrEREREZG6Vu1wNWPGjFosQ6rNXvm9roJLugVqWqCIiIiISN2rdrgaN25cbdYh1WUvGbmqYlqgwpWIiIiISN2rVit2wzBquw6prmpNC1S3QBERERGRulatcHXKKafw4Ycf4nQ6q9xuy5Yt3HTTTUybNq1GipMK2CsPV8HqFigiIiIi4jfVmhb44osvcu+993LzzTdzzjnn0K9fP2JjYwkKCuLQoUOsX7+eRYsW8ccff3DLLbdw00031XbdJ6/Sa64qmBboGblSt0ARERERkTpXrXA1dOhQfv31VxYtWsScOXOYPXs2O3bsID8/n2bNmtG7d2+uvvpqxo4dS5MmTWq75pObZ1pgTrlV6hYoIiIiIuI/Pt3navDgwQwePLi2apHq8EwLrKChhboFioiIiIj4TbWuuZJ6pIppgZ5ugZoWKCIiIiJS5xSuGhp7Y/O5ymmB6hYoIiIiIlLXFK4amsDSmwhXNC1QDS1ERERERPxF4aqhKZ0WWOV9rhSuRERERETqmsJVQ1M6LbCognAVqIYWIiIiIiL+4lO3wFJut5utW7eyb98+3G6317ozzjijRgqTSlRzWqBhGFgslrqsTERERETkpOZzuFq2bBlXXnklO3bswDAMr3UWiwWXS6MmtcrTir38yFVpuDIMKChye96LiIiIiEjt8zlc3XjjjfTr14///ve/xMTEaHSkrpWGqwqmBZa2YgfIcxYrXImIiIiI1CGfw9WWLVv45JNP6NChQ23UI0dTxbRAm9WCI8BKYbFbHQNFREREROqYzw0tEhMT2bp1a23UItVROnLlLoJiZ7nV6hgoIiIiIuIf1Rq5Wrt2ref1rbfeyl133UVqairdu3cnMDDQa9sePXrUbIXirTRcgTk1MMDutTrEHsChvCJ1DBQRERERqWPVCle9evXCYrF4NbC47rrrPK9L16mhRR2wBYI10By5cuZCcBOv1aXXWSlciYiIiIjUrWqFq23bttV2HeILeyMoyKi4HXtgaTv24jouSkRERETk5FatcNWmTZvarkN8URquKuoYqJErERERERG/8LmhxdSpU3nzzTfLLX/zzTd56qmnaqQoOYoq7nWlhhYiIiIiIv7hc7j697//TUJCQrnlp5xyCrNmzaqRouQoqmjH7glXasUuIiIiIlKnfA5XqampxMTElFvevHlzUlJSaqQoOQrPyFVOuVXBgeZMT00LFBERERGpWz6Hq7i4OBYvXlxu+eLFi4mNja2RouQoSsNVUeUjVwpXIiIiIiJ1q1oNLcoaP348d9xxB0VFRZx99tkAJCcnc88993DXXXfVeIFSgepMC3SqW6CIiIiISF3yOVz94x//ID09nZtvvhmn0wlAUFAQ9957L5MnT67xAqUC9sbmcwXTAoMCNXIlIiIiIuIPPocri8XCU089xUMPPcSGDRsIDg6mY8eOOByO2qhPKmIvGbmqYlqgGlqIiIiIiNQtn6+5KtW4cWNiYmKIiIg47mD10ksvER8fT1BQEImJiaxYsaLSbV977TVOP/10mjRpQpMmTUhKSiq3vWEYTJkyhZiYGIKDg0lKSmLLli3HVWO9Uq1pgQpXIiIiIiJ1yedw5Xa7eeyxxwgPD6dNmza0adOGiIgIHn/8cdxut88FzJkzh0mTJvHwww+zatUqevbsybBhw9i3b1+F2y9YsIAxY8bw448/snTpUuLi4jj33HPZs2ePZ5vp06fzwgsvMGvWLJYvX06jRo0YNmwYBQUFPtdXL1UxLTDYrm6BIiIiIiL+4HO4euCBB5g5cybTpk1j9erVrF69mieffJIXX3yRhx56yOcCnnvuOcaPH8+1115L165dmTVrFiEhIRXeqBhg9uzZ3HzzzfTq1YuEhARef/113G43ycnJgDlqNWPGDB588EEuvPBCevTowTvvvMPevXuZO3euz/XVS9WZFqhwJSIiIiJSp3y+5urtt9/m9ddfZ+TIkZ5lPXr0oGXLltx888088cQT1d6X0+lk5cqVXo0wrFYrSUlJLF26tFr7yMvLo6ioiMjISAC2bdtGamoqSUlJnm3Cw8NJTExk6dKlXHHFFeX2UVhYSGFhoed9VlZWtY/BLzz3ucottyq4tBV7kboFioiIiIjUJZ9Hrg4ePEhCQkK55QkJCRw8eNCnfR04cACXy0VUVJTX8qioKFJTU6u1j3vvvZfY2FhPmCr9nC/7nDp1KuHh4Z5HXFycT8dR5wKrCFfqFigiIiIi4hc+h6uePXsyc+bMcstnzpxJz549a6So6po2bRoffvghn3/+OUFBQce8n8mTJ5OZmel57Nq1qwarrAXVmBZYoHAlIiIiIlKnfJ4WOH36dEaMGMH333/PwIEDAVi6dCm7du1i3rx5Pu2rWbNm2Gw20tLSvJanpaURHR1d5WefeeYZpk2bxvfff0+PHj08y0s/l5aWRkxMjNc+e/XqVeG+HA5Hw2olX8W0wBDPtECFKxERERGRuuTzyNWQIUPYvHkzF110ERkZGWRkZHDxxRezadMmTj/9dJ/2Zbfb6du3r6cZBeBpTlEa3Coyffp0Hn/8cb755hv69evnta5t27ZER0d77TMrK4vly5dXuc8GpappgeoWKCIiIiLiFz6PXAHExsb61LiiKpMmTWLcuHH069eP/v37M2PGDHJzc7n22msBuPrqq2nZsiVTp04F4KmnnmLKlCm8//77xMfHe66jaty4MY0bN8ZisXDHHXfwz3/+k44dO9K2bVseeughYmNjGTVqVI3U7HdVjVyVXHPlLHbjchvYrJa6rExERERE5KR1TOHq0KFDvPHGG2zYsAGArl27cu2113o69vli9OjR7N+/nylTppCamkqvXr345ptvPA0pdu7cidV6eIDtlVdewel0cumll3rt5+GHH+aRRx4B4J577iE3N5cJEyaQkZHB4MGD+eabb47ruqx6pYprrkq7BQLkOYsJDQqsq6pERERERE5qFsMwDF8+sHDhQv72t78RHh7umZK3cuVKMjIy+OqrrzjjjDNqpdC6lJWVRXh4OJmZmYSFhfm7nPJy9sMzHczXUw5BmfBpGAbt7p+HYcCK+4fSIuwECZQiIiIiIn7gSzbweeRq4sSJjB49mldeeQWbzRwlcblc3HzzzUycOJHff//92KqW6iudFgjm6JWjseetxWIhJNBGrtNFvppaiIiIiIjUGZ8bWmzdupW77rrLE6wAbDYbkyZNYuvWrTVanFQiMBgouZaqwqmBamohIiIiIlLXfA5Xffr08VxrVdaGDRvq/D5XJy2LBQJLrruqqh27wpWIiIiISJ3xeVrgbbfdxu23387WrVsZMGAAAMuWLeOll15i2rRprF271rNt2ftPSQ2zN4Ki3CrDVb7ClYiIiIhInfE5XI0ZMwYwO/JVtM5isWAYBhaLBZdLv9zXGnsI5FJlx8A8Z3EdFyUiIiIicvLyOVxt27atNuoQX9lLmlg4c8qtCi6515UaWoiIiIiI1B2fw1WbNm1qow7xleeaq/IjV5oWKCIiIiJS93xuaAHw7rvvMmjQIGJjY9mxYwcAM2bM4IsvvqjR4qQKVd5IWN0CRURERETqms/h6pVXXmHSpEkMHz6cjIwMz3VVERERzJgxo6brk8pUMS0wRNMCRURERETqnM/h6sUXX+S1117jgQce8LrXVb9+/XQD4bpUxbRANbQQEREREal7Poerbdu20bt373LLHQ4Hubnl24JLLbE3Mp91nysRERERkXrB53DVtm1b1qxZU275N998Q5cuXWqiJqmO0nBVVD5ceboFKlyJiIiIiNQZn7sFTpo0iYkTJ1JQUIBhGKxYsYIPPviAqVOn8vrrr9dGjVKRakwL1DVXIiIiIiJ1x+dw9fe//53g4GAefPBB8vLyuPLKK4mNjeX555/niiuuqI0apSJVTgtUt0ARERERkbrmc7gCGDt2LGPHjiUvL4+cnBxatGhR03XJ0VQxLdBzn6tCNbQQEREREakrx3Sfq1IhISEKVv7iGbmqeFrgedYVvLT3cvjpaTCMOi5OREREROTkc1zhSvzIc81V+ZGrRgFuHgx8j3AjE378J8y9CYqddVygiIiIiMjJReGqoapiWmDs7nm0shwghxCw2OC3D+C9iyH/UB0XKSIiIiJy8lC4aqgqa2jhdhO77t8AvGW9CMZ+BPZQ2P4zvH4OHNzG3ox8bvtgNT9v2V/HRYuIiIiInLh8CldFRUUMHTqULVu21FY9Ul2VtWLf8h1BhzaTbQTzvisJOiTBdd9AWEtI3wKvJzH700/58re9XPfWL3yzLrXuaxcREREROQH5FK4CAwNZu3ZtbdUivqhsWuCifwEw25VEWlEQhmFAdDf4ezJE94C8A9y68w6GW5dR5DKY+P4qvl67t46LFxERERE58fg8LfCqq67ijTfeqI1axBcVTQvcsRR2LcOw2Xmj+DxcbgOny22uC4uBa//H2pCBBFmKeNn+Ao+234zLbXDbB6uZu3pP3R+DiIiIiMgJxOf7XBUXF/Pmm2/y/fff07dvXxo1auS1/rnnnqux4qQKpdMC3cVmJ8AAOyyeAYDRYwz7lzYBIN/pwhFg3vdqfbqbUQcnMj0wkEttC7k6ZCl/9Dubj37dzZ0fraHI5eayfnH+OBoRERERkQbP53C1bt06+vTpA8DmzZu91lkslpqpSo7OXibUOnMgPRU2fwNYsA6+ncAVmyhyGeQXuYgo2ez55M24sZLWegTsWYglczfTbuxBoM3K7OU7+ccnaylyGVyZ2NoPByQiIiIi0rD5HK5+/PHH2qhDfGULBJsdXE4oyoPFz5vLu46Epu0JDtxKkauYPKcLgHV7Mvn2jzQsFrjgjAHwAZCxE6sF/jmqG4E2K28t2c79n/9OsdvN1QPj/XZoIiIiIiIN0TG3Yt+6dSvffvst+fn5AGbjBKlbpVMD92+E3z82Xw+6A4AQu5mb80vC1YzvzQ6PI3vG0qZdZ3NbZzbkH8JisfDw37oy4Yx2AEz54g8++nVX3RyDiIiIiMgJwudwlZ6eztChQ+nUqRPDhw8nJSUFgOuvv5677rqrxguUKtgbm88LngLDBe3OhJbmlM0Qu3mdVZ7TxdrdGXy/IQ2rBW4b2hECg6FxlPnZjJ2AOaVz8vkJ/H1wWwDeXbqjTg9FRERERKSh8zlc3XnnnQQGBrJz505CQkI8y0ePHs0333xTo8XJUdhLfv67V5jPJaNWAMGecFXsGbUa1asl7ZuXBLLwksYVJeEKzIB1cZ9WAOzNyK+9ukVERERETkA+X3P13Xff8e2339KqVSuv5R07dmTHDo121KmyTS1iepkjVyVKR66W/pXODxv3YbNauHVox8PbR7SGPb9Cpvf0v5YRwQCk5zopKHIRFGirrepFRERERE4oPo9c5ebmeo1YlTp48CAOh6NGipJqCiwTrgbfAWW6NZaGov8s3g7ARb1b0rZZme0jSjoClhm5AggLDqBRSTDT6JWIiIiISPX5HK5OP/103nnnHc97i8WC2+1m+vTpnHXWWTVanBxF6bTAyHbQZaTXqtKRK2ex2xy1OruD92crCVcWi4WYktGrvRkFNV+ziIiIiMgJyudpgdOnT2fo0KH8+uuvOJ1O7rnnHv744w8OHjzI4sWLa6NGqUyLLrDlOxhyH1i9p++VdgsEuLRPK9o09b7ZMxFtzOcjwhVAbEQwW/flsDdTI1ciIiIiItXl88hVt27d2Lx5M4MHD+bCCy8kNzeXiy++mNWrV9O+ffvaqFEqc9YDcMtK6Dm63KrShhYBVgu3HDlqBd4jV0e00W8ZEQRoWqCIiIiIiC98HrkCCA8P54EHHqjpWsRXAQ5oVkFw4nBjistPjSMusvw1ckSUdAsszIKCDAhu4lkVG146LVDhSkRERESkuo4pXB06dIg33niDDRs2ANC1a1euvfZaIiMja7Q4OXbXnBZP++aNODshquINAoOhUQvI3WeOXpUNV7rmSkRERETEZz5PC1y4cCHx8fG88MILHDp0iEOHDvHCCy/Qtm1bFi5cWBs1yjFo5AjgvG4x2AOq+COupKlFjKYFioiIiIj4zOeRq4kTJzJ69GheeeUVbDbzuh6Xy8XNN9/MxIkT+f3332u8SKklEXHmva6OCFelUwr3ZORjGAaWMi3eRURERESkYj6PXG3dupW77rrLE6wAbDYbkyZNYuvWrTVanNSySkauosPNkavCYjeH8orquioRERERkQbJ53DVp08fz7VWZW3YsIGePXvWSFFSRzzhapfXYkeAjeah5g2hNTVQRERERKR6fJ4WeNttt3H77bezdetWBgwYAMCyZct46aWXmDZtGmvXrvVs26NHj5qrVGreUe51tT+7kD0Z+XRrGV7HhYmIiIiINDw+h6sxY8YAcM8991S4zmKxeK7Tcblcx1+h1J5KpgWCea+r33Zp5EpEREREpLp8Dlfbtm2rjTrEH8JL73WVCfkZEBzhWRWje12JiIiIiPjE53DVpk2b2qhD/MEeAo2aQ+7+kntdRXhWee51lal7XYmIiIiIVIfPDS3kBFPJ1MCWuteViIiIiIhPFK5OdqVTA48IV56RK4UrEREREZFqUbg62VUyclUarvZlF+Isdtd1VSIiIiIiDY7C1cmuknDVtJEde4AVw4C0LF13JSIiIiJyND6Hq127drF7927P+xUrVnDHHXfw6quv1mhhUkcqudeVxWIhNty87mqPpgaKiIiIiByVz+Hqyiuv5McffwQgNTWVc845hxUrVvDAAw/w2GOP1XiBUsuquNdV6dTAlEyFKxERERGRo/E5XK1bt47+/fsD8NFHH9GtWzeWLFnC7Nmzeeutt3wu4KWXXiI+Pp6goCASExNZsWJFpdv+8ccfXHLJJcTHx2OxWJgxY0a5bR555BEsFovXIyEhwee6ThoRR9zrqozDTS00LVBERERE5Gh8DldFRUU4HA4Avv/+e0aOHAlAQkICKSkpPu1rzpw5TJo0iYcffphVq1bRs2dPhg0bxr59+yrcPi8vj3bt2jFt2jSio6Mr3e8pp5xCSkqK57Fo0SKf6jqp2BtBSDPzdeYur1Wl4UrTAkVEREREjs7ncHXKKacwa9Ysfv75Z+bPn895550HwN69e2natKlP+3ruuecYP3481157LV27dmXWrFmEhITw5ptvVrj9qaeeytNPP80VV1zhCXgVCQgIIDo62vNo1qyZT3WddHSvKxERERGR4+ZzuHrqqaf497//zZlnnsmYMWPo2bMnAF9++aVnumB1OJ1OVq5cSVJS0uFirFaSkpJYunSpr2V52bJlC7GxsbRr146xY8eyc2f564nKKiwsJCsry+txUqkkXMWE615XIiIiIiLVFeDrB84880wOHDhAVlYWTZo08SyfMGECISEh1d7PgQMHcLlcREVFeS2Piopi48aNvpblkZiYyFtvvUXnzp1JSUnh0Ucf5fTTT2fdunWEhoZW+JmpU6fy6KOPHvN3NngRVd9IOEXXXImIiIiIHJXPI1f5+fkUFhZ6gtWOHTuYMWMGmzZtokWLFjVeoK/OP/98LrvsMnr06MGwYcOYN28eGRkZfPTRR5V+ZvLkyWRmZnoeu3btqnTbE1Il7dhjS6YFZhcWk1VQVNdViYiIiIg0KD6HqwsvvJB33nkHgIyMDBITE3n22WcZNWoUr7zySrX306xZM2w2G2lpaV7L09LSqmxW4auIiAg6derE1q1bK93G4XAQFhbm9TipeKYF7vBaHGIPoElIIKCpgSIiIiIiR+NzuFq1ahWnn346AJ988glRUVHs2LGDd955hxdeeKHa+7Hb7fTt25fk5GTPMrfbTXJyMgMHDvS1rErl5OTw559/EhMTU2P7POFU415XClciIiIiIlXzOVzl5eV5rl367rvvuPjii7FarQwYMIAdO3Yc5dPeJk2axGuvvcbbb7/Nhg0buOmmm8jNzeXaa68F4Oqrr2by5Mme7Z1OJ2vWrGHNmjU4nU727NnDmjVrvEal7r77bn766Se2b9/OkiVLuOiii7DZbIwZM8bXQz15hJdcc1VQ/l5XpU0t9ui6KxERERGRKvnc0KJDhw7MnTuXiy66iG+//ZY777wTgH379vk8nW706NHs37+fKVOmkJqaSq9evfjmm288TS527tyJ1Xo4/+3du5fevXt73j/zzDM888wzDBkyhAULFgCwe/duxowZQ3p6Os2bN2fw4MEsW7aM5s2b+3qoJw9HYwhpCnnp5r2ugiM8q0rbsado5EpEREREpEo+h6spU6Zw5ZVXcuedd3L22Wd7pvB99913XsGnum655RZuueWWCteVBqZS8fHxGIZR5f4+/PBDn2sQzKmBeenm1MDo7p7FmhYoIiIiIlI9PoerSy+9lMGDB5OSkuK5xxXA0KFDueiii2q0OKlDEa1h72rI8O6UeDhcaVqgiIiIiEhVfA5XANHR0URHR7N7924AWrVq5dMNhKUeqqSpRWm42qORKxERERGRKvnc0MLtdvPYY48RHh5OmzZtaNOmDRERETz++OO43e7aqFHqQnjF7dhL73WVmlWAy131lEwRERERkZOZzyNXDzzwAG+88QbTpk1j0KBBACxatIhHHnmEgoICnnjiiRovUupAJSNXLUKDsFktuNwG+7ILPN0DRURERETEm8/h6u233+b1119n5MiRnmU9evSgZcuW3HzzzQpXDVUl4cpmtRAdFsSejHz2ZihciYiIiIhUxudpgQcPHiQhIaHc8oSEBA4ePFgjRYkfRJTe6yrDvN9VGS3VMVBERERE5Kh8Dlc9e/Zk5syZ5ZbPnDnTq3ugNDCOUAiONF+X6xhoXnelcCUiIiIiUjmfpwVOnz6dESNG8P3333vucbV06VJ27drFvHnzarxAqUMRrSH/YMm9rrp5FuteVyIiIiIiR+fzyNWQIUPYvHkzF110ERkZGWRkZHDxxRezadMmTj/99NqoUepKJdddxXjaseteVyIiIiIilTmm+1zFxsaqccWJqJJw1bJkWmBKpkauREREREQqU61wtXbt2mrvsEePHsdcjPhZRBvzObPiGwlrWqCIiIiISOWqFa569eqFxWLBMKq+iazFYsHlctVIYeIHpR0DMyoOV4fyishzFhNiP6YBTxERERGRE1q1fkvetm1bbdch9UEl0wLDggIJdQSQXVjM3owCOrRo7IfiRERERETqt2qFqzZt2tR2HVIfhJeMXOUfgoIsCArzrIqJCCI7LYe9GfkKVyIiIiIiFfC5W6CcwILCILiJ+TrzyHtdmVMD1dRCRERERKRiClfirZKpgbFqxy4iIiIiUiWFK/FWaTt2dQwUEREREamKwpV4K23HXm7kyrzXlcKViIiIiEjFjilcZWRk8PrrrzN58mQOHjwIwKpVq9izZ0+NFid+UDpydWi71+KYcI1ciYiIiIhUxecbFq1du5akpCTCw8PZvn0748ePJzIyks8++4ydO3fyzjvv1EadUleadzafty00uwaWNLjwTAvMLMAwDCwWi78qFBERERGpl3weuZo0aRLXXHMNW7ZsISgoyLN8+PDhLFy4sEaLEz+IPwNanAKFWbD0Zc/iqLAgLBZwFrtJz3X6sUARERERkfrJ53D1yy+/cMMNN5Rb3rJlS1JTU2ukKPEjqxXOvM98vewVyDOnfdoDrLQIdQCaGigiIiIiUhGfw5XD4SArK6vc8s2bN9O8efMaKUr8LOECiOoOzmxYOtOzOFYdA0VEREREKuVzuBo5ciSPPfYYRUVFAFgsFnbu3Mm9997LJZdcUuMFih+UHb1a/m/ITQd0rysRERERkar4HK6effZZcnJyaNGiBfn5+QwZMoQOHToQGhrKE088URs1ij8kjIDoHuDMgSUvABAbXkU7dsOANR/Apv/VZZUiIiIiIvWGz90Cw8PDmT9/PosWLWLt2rXk5OTQp08fkpKSaqM+8ReLBc66Hz64Ala8Bqfd6hm5SsmsIFwt+hckPwoWG0xaD6HRdVywiIiIiIh/+RyuSg0ePJjBgwfXZC1S33Q6D2J7w97VsPh5YltOBCqYFrj6PTNYARgu+O1DGHxH3dYqIiIiIuJnPoerF154ocLlFouFoKAgOnTowBlnnIHNZjvu4sTPLBY48354/zJY8Rodx14LwB97MtmUmk3n6FDY9A18eZu5fUxPSPkN1syGQbebnxcREREROUlYDMMwfPlA27Zt2b9/P3l5eTRpYt5g9tChQ4SEhNC4cWP27dtHu3bt+PHHH4mLi6uVomtbVlYW4eHhZGZmEhYW5u9y/Msw4PUk2PMrDLyF8WkXMX99Gv3aNOGj4Tas714IxfnQcwyc/xQ8mwBFeXD9fIjr7+/qRURERESOiy/ZwOeGFk8++SSnnnoqW7ZsIT09nfT0dDZv3kxiYiLPP/88O3fuJDo6mjvvvPOYD0DqEYsFzpxsvv7lDR4f2pwQu41DO9dR9N5lZrDqcA6MfBGCwqHrKHPb1e/6rWQREREREX/weeSqffv2fPrpp/Tq1ctr+erVq7nkkkv466+/WLJkCZdccgkpKSk1WWud0cjVEQwD3jgXdq+AATfzvm0kQxaNpaUlnaKYvgRe+xXYG5nbbl8Mbw0He2O4e7Nn+e5DeRQUuejQItSPByIiIiIi4ptaHblKSUmhuLi43PLi4mJSU1MBiI2NJTs729ddS31lscBZh0evxmy8jZaWdP50x/BY6JTDwQqgzWnQpK3Zwn39F+ZHth9k2L8WMvz5RWw7kOuHAxARERERqX0+h6uzzjqLG264gdWrV3uWrV69mptuuomzzz4bgN9//522bdvWXJXif+3OgrgB4CrEkr4ZZ0gU44ru4921uSz588Dh7SwW6D3WfL16Nr9sP8g1b64g1+nC6XLz/Peb/VO/iIiIiEgt8zlcvfHGG0RGRtK3b18cDgcOh4N+/foRGRnJG2+8AUDjxo159tlna7xY8SOLBc5+wHztCMc+7nPOTOwLwIOfr6Ow2HV4255XAhbYsYgpb35JrtNFj1bhAHzx2142p2lUU0REREROPD5fc1Vq48aNbN5sjkJ07tyZzp0712hh/qRrrqqw7WcIi4Wm7cnMLyLpuZ/Yn13InUmduD2po2ezjNdGErHnJ14sHsXy+Jt57ep+3DlnDd/8kcrw7tG8PLavHw9CRERERKR6avWaq1IJCQmMHDmSkSNHnlDBSo6i7enQtD0A4cGBPHRBVwBeWrDVcz3VL9sP8uiu3gCMdSzitat6E2y3cec5nbBYYN7vqfyxN9M/9YuIiIiI1BKfbyIMsHv3br788kt27tyJ0+n0Wvfcc8/VSGHSMPytRwwf/7qLn7cc4KG567g9qSPXvLmCImdvHgsJJdJ1AHYthI5JdI4O5YIesXz1217+NX8zr4871d/li4iIiIjUGJ/DVXJyMiNHjqRdu3Zs3LiRbt26sX37dgzDoE+fPrVRo9RjFouFxy/sxrkzFrJo6wGWb0unyGUwuEMMwdFj4NdXYc170DEJgDuSOvLftXv5fsM+1uzKoFdchH8PQERERESkhvg8LXDy5Mncfffd/P777wQFBfHpp5+ya9cuhgwZwmWXXVYbNUo9F9+sEbee1QGgJFg147Wr+xHQ9//MDTb+F/IOAtC+eWMu6t0KgOfmq3OgiIiIiJw4fA5XGzZs4OqrrwYgICCA/Px8GjduzGOPPcZTTz1V4wVKwzBhSDsu7BXL6H5xvHZ1P4LtNojpAdE9wOWE3z/2bHv70I4EWC0s3LyfX7Yf9GPVIiIiIiI1x+dw1ahRI891VjExMfz555+edQcOHKjsY3KCcwTYeP6K3jx1aQ8zWJXqXTJ6tfpdz6LWTUO4rF8cAM9+t6kuyxQRERERqTU+h6sBAwawaNEiAIYPH85dd93FE088wXXXXceAAQNqvEBp4LpfCjY7pP4OKb95Ft96dgfsNivL/jrIkq0K5SIiIiLS8Pkcrp577jkSExMBePTRRxk6dChz5swhPj7ecxNhEY+QSEgYYb5ePduzODYimCsTWwPwzHebOMbbrYmIiIiI1Bs+hSuXy8Xu3btp3dr8pbhRo0bMmjWLtWvX8umnn9KmTZtaKVIauN5Xmc9r50BxoWfxzWe2xxFgZdXODBZs3u+n4kREREREaoZP4cpms3Huuedy6NCh2qpHTkTtzoLG0VCQAdt+9ixuERbEuNPiAfjX/M0avRIRERGRBs3naYHdunXjr7/+qo1a5ERltUHn883Xm/7rteqGM9oRYrexdncmC7fo2isRERERabh8Dlf//Oc/ufvuu/n6669JSUkhKyvL6yFSodLrrjb9D8qMUDVt7ODyks6B7y3b4Y/KRERERERqRICvHxg+fDgAI0eOxGKxeJYbhoHFYsHlctVcdXLiiD8dAhtBdgrsXQ0t+3hWXTWgNW8t2U7yhjT2ZuQTGxHsx0JFRERERI6NzyNXP/74o+fxww8/eB6l73310ksvER8fT1BQEImJiaxYsaLSbf/44w8uueQS4uPjsVgszJgx47j3KXUkMAg6DDVfb5rntapDi1AGtmuK24APVuz0Q3EiIiIiIsfP55GrIUOG1NiXz5kzh0mTJjFr1iwSExOZMWMGw4YNY9OmTbRo0aLc9nl5ebRr147LLruMO++8s0b2KXUoYQRs+NKcGnj2g16rrhrQhqV/pfPhL7u4bWhHAm0+534REREREb86pt9gf/75Z6666ipOO+009uzZA8C7777rublwdT333HOMHz+ea6+9lq5duzJr1ixCQkJ48803K9z+1FNP5emnn+aKK67A4XDUyD6lDnU8Fyw2SFsHh7Z7rTr3lCiahzrYn13Id3+k+ac+EREREZHj4HO4+vTTTxk2bBjBwcGsWrWKwkLzvkWZmZk8+eST1d6P0+lk5cqVJCUlHS7GaiUpKYmlS5f6WtZx7bOwsFCNOepCSCS0Hmi+3vSN16pAm5Uxp5qNLd5dtr2OCxMREREROX7H1C1w1qxZvPbaawQGBnqWDxo0iFWrVlV7PwcOHMDlchEVFeW1PCoqitTUVF/LOq59Tp06lfDwcM8jLi7umL5fqiHBbIhyZEt2gCv6t8ZqgWV/HWTrvuw6LkxERERE5Pj4HK42bdrEGWecUW55eHg4GRkZNVFTnZs8eTKZmZmex65du/xd0omr9H5X2xdDvvfNqGMjghnaxQzG7y1TYwsRERERaVh8DlfR0dFs3bq13PJFixbRrl27au+nWbNm2Gw20tK8r69JS0sjOjra17KOa58Oh4OwsDCvh9SSyHbQvAsYLtjyfbnV/zegDQCfrtxNnrO4rqsTERERETlmPoer8ePHc/vtt7N8+XIsFgt79+5l9uzZ3H333dx0003V3o/dbqdv374kJyd7lrndbpKTkxk4cKCvZdXaPqUWlI5eVTA1cHCHZrRpGkJ2YTFfrtlbx4WJiIiIiBw7n1ux33fffbjdboYOHUpeXh5nnHEGDoeDu+++m1tvvdWnfU2aNIlx48bRr18/+vfvz4wZM8jNzeXaa68F4Oqrr6Zly5ZMnToVMBtWrF+/3vN6z549rFmzhsaNG9OhQ4dq7VPqgYQRsOg5c+SquBACDnd+tFotjE1szZPzNvLush2MPjXO62bVIiIiIiL1lcUwDONYPuh0Otm6dSs5OTl07dqVxo0bH1MBM2fO5OmnnyY1NZVevXrxwgsvkJiYCMCZZ55JfHw8b731FgDbt2+nbdu25fYxZMgQFixYUK19VkdWVhbh4eFkZmZqimBtcLvhuQTISYOrPjt8c+ESh3KdJE5Nxlns5vObT6N36yZ+KlRERERETna+ZAOfw9V7773HxRdfTEhIyHEVWZ8pXNWBL2+DVW/DqX+HEc+WWz3pozV8tmoPl/RpxbOX9/RDgSIiIiIivmUDn6+5uvPOO2nRogVXXnkl8+bNw+VyHXOhchJLGGE+b/ofVJDvryppbPHV2r0cynXWZWUiIiIiIsfE53CVkpLChx9+iMVi4fLLLycmJoaJEyeyZMmS2qhPTlRth0BgCGTtgZTfyq3uHRfBKbFhOIvdfLJytx8KFBERERHxjc/hKiAggAsuuIDZs2ezb98+/vWvf7F9+3bOOuss2rdvXxs1yokoMAjan22+3jSv3GqLxeIZvZq9fAdu9zFdGigiIiIiUmd8DldlhYSEMGzYMM4//3w6duzI9u3ba6gsOSl4pgaWD1cAF/aKJdQRwPb0PJb9lV6HhYmIiIiI+O6YwlVeXh6zZ89m+PDhtGzZkhkzZnDRRRfxxx9/1HR9ciLrOAwsVkj9HTJ2llsdYg/g/O7mzZ8XbN5f19WJiIiIiPjE53B1xRVX0KJFC+68807atWvHggUL2Lp1K48//jgJCQm1UaOcqBo1hbgB5utN31S4yaAOzQBYtOVAXVUlIiIiInJMfA5XNpuNjz76iJSUFGbOnMnAgQM969atW1ejxclJIGG4+bzpvxWuPq29Ga7Wp2SRnlNYV1WJiIiIiPjM53BVOh3QZrMBkJ2dzauvvkr//v3p2VP3IxIfdS4JV9sXQX5GudXNQx0kRIcCsORPXXclIiIiIvXXMTe0WLhwIePGjSMmJoZnnnmGs88+m2XLltVkbXIyaNoemieAuxi2fFfhJoNLpgYu3qqpgSIiIiJSf/kUrlJTU5k2bRodO3bksssuIywsjMLCQubOncu0adM49dRTa6tOOZF1+Zv5vP6LClcP6lhy3ZXClYiIiIjUY9UOV3/729/o3Lkza9euZcaMGezdu5cXX3yxNmuTk0WXkebz1mRw5pZb3T8+kkCbhd2H8tmZnlfHxYmIiIiIVE+1w9X//vc/rr/+eh599FFGjBjhueZK5LhFd4cm8VCcD1vml1vdyBFA79ZNAI1eiYiIiEj9Ve1wtWjRIrKzs+nbty+JiYnMnDmTAwf0i67UAIvl8OjVhi8r3GRQe113JSIiIiL1W7XD1YABA3jttddISUnhhhtu4MMPPyQ2Nha32838+fPJzs6uzTrlRNf1QvN587dQVFBu9eCOTQFY/OcB3G6jLisTEREREakWn7sFNmrUiOuuu45Fixbx+++/c9dddzFt2jRatGjByJEja6NGORnE9oGwluDMgb9+LLe6R6sIGjsCyMgrYn1Klh8KFBERERGp2jG3Ygfo3Lkz06dPZ/fu3XzwwQc1VZOcjKzWMl0Dy08NDLRZGdAuEjjKdVeGAQe2wur34PtHIGNnLRQrIiIiIlJeQE3sxGazMWrUKEaNGlUTu5OTVZeRsHwWbJoHriKwBXqtHtShGd9v2MfirQe4cUh7c2FxIexdA7uWwc7lsGs55JUJX9t+huvnm+FNRERERKQW1Ui4EqkRrQdAo+aQux+2LYQOQ71Wl95MeMW2gxQUuQja+Dl8cYvZZbAsmwNa9oHU32HPr7D6Xeg7rq6OQkREREROUvrnfKk/rDZIuMB8XUHXwA4tGtMi1EFhsZvfN22Br+80g1VIM/Nz5zxujlJN3gXXfQNnPWB+8PuHITe9Dg9ERERERE5GCldSv3Qtbcn+NbhdXqssFguDSkavHD/9EwqzIKYX3L0ZrpgNg26DuP4Q4DA/0H8CRHWD/ENmwBIRERERqUUKV1K/xJ8OQRHmdVM7lpRbPahDM3pattJj/1fmguFPmyNeFbEFwIhnzder34VdK2qnZhERERERFK6kvrEFQsII83UFUwMHtW/Co4FvA+A8ZbQ5UlWV1gOg11Xm668ngau4JqsVEREREfFQuJL6p0vp1MCvwO32WhWzbS69rH+SYwSxOP6W6u3vnEfN0bC03+GX12q2VhERERGREgpXUv+0PwvsoZCdYnb7K1WQad67Cnih+CJ+2FP56WsYBhtTs1iwaR9fbClkabtbASj87jEefT+ZibNXsewvNbkQERERkZqjVuxS/wQ4oNMwWPcJrP/i8NS/n6ZD7j5yG8fznwPnE1fJzYTznS7+8clvfL02xbPMQmc+t7enF3/Sa8Mz3F50C6t2HuLHu88kKLCSa7ZERERERHygkSupnzxdA78Ew4D9m80bDAOc/xQuSwB/Hchlb4b3Pa5SMwu4/N9L+XptCgFWC11jwhjYrinDTonl506TcWPlQtsSLgjdQkpmAe8s3V63xyUiIiIiJyyNXEn91CEJAoIhYyek/AbJj4K7GDqdT6NTzqNHq8Ws2ZXB4q0HuKxfHABrdmUw4Z1f2ZddSGQjO7Ou6kv/tpFldtoX/rscfnmNJ+1v8S2P8tKPfzL61NaEBwf65zhFRERE5IShkSupn+yNoGOS+fq/k+DPH8Bmh/OeBGBwyf2uFpdMDfxizR4u//dS9mUX0jkqlC8mDjoiWJU4+0Fo1Jyw3G38N+RR/lE0ixVzpsG2hZCzzxwlExERERE5BhbD0G+TR8rKyiI8PJzMzEzCwsL8Xc7Ja+3H8NnfD78//S4YOgWApX+mM+a1ZTRr7OCKU+OY+eNWAJK6tGDGFb1p7KhiUHbdZ/Dp9WC4y68LjoQWXaDvtdDjspo8GhERERFpgHzJBpoWKPVXp2HmaJXLCaGxMHiSZ1WfNhEEBVo5kFPoCVY3ndmeu8/tjM1qqXq/3S6G6B4Ye1by2bfJhGVvpU9wKk2deyH/IOxYbD7St8KZ94HlKPsTEREREUHhSuqzoDDznlfrPjGnAzoae1Y5Amz0b9uUhZv3Y7dZmXZJdy7u06r6+27WAUuzDsSFncPl/16KzWXh+1tOpS17YN2nsOQF+GkaZO+FEf8Cm/6qiIiIiEjV9Buj1G8jX4Sz7oem7cutuu3sDgQFWLnxzPb0ad3kmHbfv20kZye04IeN+3jmx128NLYPxPaCyLbw37tg1TvmtViX/gfsIcd5MCIiIiJyItM1VxXQNVcnl42pWZz//M8YBnx5yyB6tIowV2z42rw2q7gAWp0KY+ZAo6Z+rVVERERE6pYv2UDdAuWklxAdxkW9WgLw1DcbD6/ocgFc/QUERcDuX+DNc+HQDv8UKSIiIiL1nsKVCHDnOZ0ItFlYvDWdn7fsP7yi9QC4/jsIjzMbXLxxDqSs9V+hIiIiIlJvKVyJAHGRIYxNbAOYo1dud5nZss07w/XzIaob5KTBu6MgO80/hYqIiIhIvaVrriqga65OTgdyChky/UdynS6uGtCaRvYADuY6OZTnJD3XiTPnEM/l3U9nduBqn4Ttqk/Upl1ERETkBOdLNlC4qoDC1clrxvebmfH9lkrXd7Ts5mv7AzgsRRSf9zQBAybUYXUiIiIiUtd0E2GRY3TDGe1Jz3GSU1hMZCO759EkxHw+mOvkmY/+4AHL27i/fQBX2zOwRSX4u2wRERERqQc0clUBjVxJVX7alIZl9qWcYV3L7qCOxN61GGugw99liYiIiEgtUCt2kVo0pHMUrr+9yEGjMa0KtrD49bvQv1GIiIiIiMKVyDE469RebO7/BACDUt/jw48/8HNFIiIiIuJvClcix2jAiGvY0uoirBaD0/94iNfmr/Z3SSIiIiLiRwpXIseh4//NJDO4Fa0sB2i28AHeXrLd3yWJiIiIiJ8oXIkcD0djwq98Czc2LrItZvV//83qnYf8XZWIiIiI+IHClcjxijsVy5B/ADAj8GVC3k6ieOFzkP6nnwsTERERkbqkVuwVUCt28ZmrmMJPxhO44XOslPkrFdUNuoyEriOheQJYLP6rUURERER85ks2ULiqgMKVHKvvVqxlwRdvMdy2gkG29VgM1+GVke2h/dnQ/iyIPx2CdG6JiIiI1HcN7j5XL730EvHx8QQFBZGYmMiKFSuq3P7jjz8mISGBoKAgunfvzrx587zWX3PNNVgsFq/HeeedV5uHIALAOad2Z3/nK7nKOZmrmryH628zoeMwsNnh4J/wy2vw4ZXwVDy8cS78OBV2LgNXkb9LFxEREZHj5PdwNWfOHCZNmsTDDz/MqlWr6NmzJ8OGDWPfvn0Vbr9kyRLGjBnD9ddfz+rVqxk1ahSjRo1i3bp1Xtudd955pKSkeB4ffKD7EEnts1gs/HNUN0KDAli81+CN3NNg7Efwj60w+j3odz1EtgPDBbuWw0/T4M1h8FwX2L7Y3+WLiIiIyHHw+7TAxMRETj31VGbOnAmA2+0mLi6OW2+9lfvuu6/c9qNHjyY3N5evv/7as2zAgAH06tWLWbNmAebIVUZGBnPnzj2mmjQtUI7XnF92cu+nv+MIsPLNHWfQtlkj7w0O7YC/FsBfP8JfP0H+QQgIgsvegs7n+6NkEREREalAg5kW6HQ6WblyJUlJSZ5lVquVpKQkli5dWuFnli5d6rU9wLBhw8ptv2DBAlq0aEHnzp256aabSE9Pr/kDEKnE5f3iGNShKYXFbu77dC1u9xH/htGkDfQdZ4apSeuh0/lQXAAfjoU17/ulZhERERE5Pn4NVwcOHMDlchEVFeW1PCoqitTU1Ao/k5qaetTtzzvvPN555x2Sk5N56qmn+Omnnzj//PNxuVxH7g6AwsJCsrKyvB4ix8NisTDt4h4EB9pYvu0g76/YWfnGgcHmlMGeV5rTBefeBEtm1l2xIiIiIlIj/H7NVW244oorGDlyJN27d2fUqFF8/fXX/PLLLyxYsKDC7adOnUp4eLjnERcXV7cFywkpLjKEfwzrDMC0/21kb0Z+5RvbAuDCl2DgLeb77x6A7x8BNfMUERERaTD8Gq6aNWuGzWYjLS3Na3laWhrR0dEVfiY6Otqn7QHatWtHs2bN2Lp1a4XrJ0+eTGZmpuexa9cuH49EpGLjTounT+sIcgqLuffTteQUFle+sdUK5/4Tkh4x3y/6F3x1G7grHnEVERERkfolwJ9fbrfb6du3L8nJyYwaNQowG1okJydzyy23VPiZgQMHkpyczB133OFZNn/+fAYOHFjp9+zevZv09HRiYmIqXO9wOHA4HMd8HCKVsVktPHVJD0a8sIiftxxg8FM/MP70dlw9sA2hQYHlP2CxwOA7ITgSvr4DVr0DWSkQ3R0KMss/CrPBc9Nii/d+bHY49XoYMNEMbiIiIiJSq/zeLXDOnDmMGzeOf//73/Tv358ZM2bw0UcfsXHjRqKiorj66qtp2bIlU6dOBcxW7EOGDGHatGmMGDGCDz/8kCeffJJVq1bRrVs3cnJyePTRR7nkkkuIjo7mzz//5J577iE7O5vff/+9WiFK3QKlpv2wMY3Hv97AtgO5AIQHB/L3wW0ZNyiesIpCFsD6L+HT68HlPL4v7zgMLpoFIZHHtx8RERGRk5Av2cDv4Qpg5syZPP3006SmptKrVy9eeOEFEhMTATjzzDOJj4/nrbfe8mz/8ccf8+CDD7J9+3Y6duzI9OnTGT58OAD5+fmMGjWK1atXk5GRQWxsLOeeey6PP/54uUYYlVG4ktpQ7HLz9doUXvhhC3/tN0NWWFAA1w9uxzWD4gkPriBk7foFfnsfbA4ICi//cDQGiw0wylyfZT7nb1tG0A8PY3EVQlhLuPQ/0Dqxbg5WRERE5ATR4MJVfaNwJbXJ5Tb4eu1eXvxhK1v35QDm9MEmIXYiGwUS2chO00YOIhvZiWxkJzYiiOHdYyqeRliB3YfyeOK/G/jfulT6Bu3mpYDniS7eg2Gx4T77IWyDbtc0QREREZFqUrg6TgpXUhdcboP/rUvhheQtbE7LqXLbsKAArh3UlusGtSU8pOKQVVDkYtZPf/LKgj8pLHZ7ljcinycD3+BC2xIAfgs6lV/7TOXC03rQrLGuNRQRERGpisLVcVK4krpkGAb7sgtJz3FyMNdJem4hB3NLXztZ9le6ZxphY0cAVw9sw/WD29K0JBgZhsG3f6Txz/+uZ/chs917YttIpvytK243LN+WzrI/04nb/jH3GW/isBSRYkTyatD13Hnr7YQ1Dq25g3G7IGMHHNgCBzaXPEpeGwacMgp6XAFx/c2mGyIiIiL1nMLVcVK4kvqkdIRr5g9b2ZiaDUBwoI2rBrTmnK7RvJC8hUVbDwAQEx7EAyO6MKJ7DJYjwovbbbB9/XKazptAeN4OAPKsjQjudSmWnldA64GVBx63ywxJe1dD1h4oyDC7FeaXPBdkmK+zU6rXgKNJW+g5BnpcDpFtj+0HIyIiIlIHFK6Ok8KV1Edut8H3G9J48Yet/L4n02udPcDKDWe046Yz2xNiP8odFgqzSZs3FfeaD4ixHDy8PKIN9BhtPmyBsHcV7Cl5pKwBZ9VTFz1sDmjWseTR6fAj/yD8NgfWfwFFuYe3bz0Qel1phi1b9a4rExEREakrClfHSeFK6jPDMFiweT8vJm9h1c4MkrpEMeWCrrRuGuLTft5ftp2vvvyIS2w/c5FjJbbi3Ko/EBgCMT2haXsIijAfwSXPQeHm68YtIDwOrLbK9+PMhQ1fw28fwF8L8Nynq3kXuOA5aHOaT8chIiIiUpsUro6TwpU0BIZhkJVfXGmDi+p8/h+frOWTlbtpGWLw9bAsmmz5DP78wZweGHUKtOwLsX2gZR9o1hlsNXzf8ay9sHYOLHkR8tLNZT3HwDmPQ+PmNftdIiIiIsdA4eo4KVzJyaKgyMXFLy9hfUoWvVtHMGfCQOyuXLAGQmBQ3RWSdxCSH4OVbwGGORJ29kPQ77qqR8FEREREapkv2UA3uxE5iQUF2ph1VV/CggJYvTODJ/67HhyhdRusAEIi4W8z4O/fQ3QPs0nGvLvhtbNhz8q6rUVERETkGClciZzkWjcN4V+jewHw9tIdzF29x3/FtOoHExbA8GfAEW420nhtKMz5P7NToYiIiEg9pnAlIgztEsWtZ3cAYPJnv7OppOW7X1ht0H883Pqr2bkQAzZ8Ca+eCe9eBNt+Nu+ZJSIiIlLP6JqrCuiaKzkZudwG1/xnBT9vOUBUmIPXrz6V7q3C/V0WpK2HxTPg90/AcJnLWp0Kp98FHYeBtZr/RuQqgqI8KMo3H4HB5rVdgcG1U7fbZd7369AO88bK7mJoOwSatKmd7xMREZFaoYYWx0nhSk5WB3OdjP73UrbsyyEo0Mq/Lu/F+d1j/F2W6dB2WPwCrH4PXIXmsmadICzWDE4uZ8mjzOuigpIwlXc4mB3J5ihpKR9+uL18eCtonmA+WnSBRs0rvsFyUT4c3AbpW+Hgn+brjB1moMrcDe6i8p9pngAdzzGDYesBureXiIhIPadwdZwUruRkllVQxC3vr2bh5v0A3H1uJyae1QFLReHiOBUUufhtVwb7cwoZ0K4pzRo7jv6h7DRY9jL88gY4j2H6osUKAUFQXACGu3qfCY4sCVoJ5ufT/zQfmbvw3KerItYA875fEa3NsLdrhXfIc4RB+7PMoNUhCUKjfD8eERERqVUKV8dJ4UpOdsUuN0/M28B/Fm8HYFSvWKZd0oOgwONri57vdLFq5yGWbzvI8r/SWb0rA2exGXAsFujbugnnnhLFOV2jadus0VF2lgFbvzcDki0QbPaSR5nXgcFmkAoMMV8HhpjrLRZwu81wVpBp7qsgw3zOPwSHtsH+TbBvgzliVlWAcoRDsw4Q2R4i25nT/iLamIEqLNa7lXz+IfM+Ypu/g63zD9/bq1R0DzNkdTwHWvX37b5ixYVm4Nu/0az94J/maFxEm8M1NYk3R+ZERESk2hSujpPClYhp9vIdTPniD1xug96tI3j1//rRPLQao0sl9mcXsmrnIVbvzOCX7QdZuzuDIpf3f3Kahzpo1tjBhpQsr+UdWzTm3FOiGHZKND1aRdTE4RwbZx6kb4F9G83gAtC0AzRtbz6HNK14yuDRuF1mB8TN38KW78zOiGU5wqHdEGh7hhkQ3UUlUx5Lpj26i8GZa05J3L8JDv5V+dTHskoDV7OO5o2iW5wCUV3NETZfj6PYaQbG/IPmvcqK8sx9WKzlHwFB5veGRB7bz0u85R2E3b+aIb55Z/1MRURqkcLVcVK4Ejls8dYD3PTeSrIKimkZEcxDF3SlSUgg9gArjgBbybP5SMksYPXOQ6zamcGqnYfYfSi/3P5iwoNIbBtJYrumJLaNpG2zRlgsFvZm5PP9hjTmr09j6Z/pFLsP/6cpqUsUj4zsSqsmIXV56HUrZz/8mQxb5pujW/kHfd+HI8z8Rbt5ZzP4FWab138d2m5eC5a7v+rPtugCLbqao1tFBVCcX3LdWp45jbIoHwqzIK8kUDlzfK/RHmqOoDUpGUlrEg+hJdf1uYtLHq6S5yLz2VXsfU2du/S6umKwh5i1O0LN4OgIg6CS98UFUJBljk4WZnm/NgwIsJvX3AU4zJHOgJLXjVqYP4sm8cd2E2vDMH/ee1bCnlXmI3MXhEabITa8lRmKwlsdfgRFVB2QDANSfzeD+Jb5sHvF4WmtYS3N6aXth0K7M80A29C53eafX3GB+WcSGKIAKSJ+o3B1nBSuRLz9tT+H69/+lW0Hcn36nMUCnVqE0qdNBL1bN2FA26bERQYf9fqtzPwiFmzax3d/pPHd+lSKXAbBgTbuSOrIdYPbEmg7we8iUTqqtfX7kpsoW0qmOwaCtXTaY4AZDCLblgSqBDOkVPWzdeZCxk4zbO3bAPvWm90YD2yuuPlGdVisZjAIiQR7IzMEGO7yj8IcyEk9tu/wl4BgaN7JDJylwbNxlDkFszR4lgaAonzI2gt7V5l/ZkdO+TyawEbmNNKwWDMslb62N4Ydi8xAlZ3i/ZnIdpC553CDFwAsENsbOgw1p6oGBpt/LqXTYkunyLqKDk+FLcjwfl2YYwZqZ+7hhjClr93F3mHU5jgcUm2B5nWGnoet5BFg1lVc9udV5udWXFgmwJd09CwuOOIHZDFrt5ccg73x4WB9ZEOa0tcBQeb5aS0dQS2px2I1j+PIfzgoyi/z51ry/sh/ZHCV/Xty5K9PFvPvpdffUXvJ+8CSKcpB5nkV4CgzbTm48qnNtkCzXkr+Xlss5uvSZ88/QrjK/MNDybLiwjI/88LDP+vi/JJtXeZot9fzkX93y/x9xjj6bTAqGrX2PCyHz4vSP4uyr4/8Mypd5/lvWpnjLvuzqFLZmo98XXJ8pcs9x0iZ15X9DMp+nsPLPK8rO0eqq8xxlT1+r/dVrbNU73WlX1/Vz/VYP1eJo51TIU0hcYLv+61hClfHSeFKpLzMvCIe/foP1u/NwulyU1jkxuly4yx2U1jswlnsJjQokN6tI+jTugl9WjehZ1w4oUHH1w1vS1o2D8xdx4pt5khOQnQoT1zUjb5tToB/na8vip3m9MJ96yHtj5JW9SXXqpX+8lf67Ag1G3yEREJwE/OX2Oq2wy/Kh4xdh0fSDm03H9mph38J9zwHHP5Fy+uXzsDDr60B5rTN0lGpwtKRqWzzEeAoM5oVbo5olb63WM1fOl1O8xfO0ufiQsjabU61LPcLvg+sgRDdHVr2gZZ9zSCUk2Z2kczYZY5kZe4y31c3iAWGmO38O50LHc6BiDjzZ7pjiTna+ecP5p+hiMiJolknuOUXf1ehcHW8FK5Ejo1hGLXSVdAwDD5ZuZsn523gUJ75L8dj+rfm3vM6ExFir/HvE8HtKhnhW394lG/fBvMas7KBs+xoREgkxPQyw1R0NzPcVYczzxyVytoDWaXPe81HXjrE9oKO50KbQeZ3VSVrL/z5I2xbCLn7yow8ld7jLdd8HeAwg3FQ+OHRnuAIc5kjtMwoUSPv0S9rgHcYdRWa4dxVeHg0pHR6Z+loSOmIiGe0xmH+vAKDyvwMQw4H+sDgkvUl25aObDlzSo6j9HXu4ameBRllmtOUvC8uLBldcJnTDD2vXeZxBAbj3fQmqMx3Bx2uoew2pQ1xPMq8NtwlI0jO8tdIuorMESPPCFLZEbz8ym8n4So6PP2z7ChL6XPpP0R4RsxK/tHBFmiOJnp+xo7DP+uAoJLty/wDhsVWMsJXdtTIenjUrHTk6WhTV71GgMqMgJUdFSud+ut1frjKbFfmnHG78B4ROuL4Ky8GKhrh8npdZkStdETH87r0eI84fq/XHLHNESNpNfH/wrIjbUe+r/A1VDyKVsl7r2WUX1dpPXWocQs48766/94jKFwdJ4UrkfrpYK6Taf/bwEe/7gagaSM7E85ox+hT4xSyREREpFYoXB0nhSuR+m35X+k8OHcdW/aZDRWCAq1c3KcV15wWT6eoUD9XJyIiIicShavjpHAlUv85i93MXb2H/yzZ7tXGfVCHplxzWlvOTmiBzWpOyzAMg+zCYtJznKTnFJKe66Sw2I3L7cblBrfbwGUYFLsN3G6Dqv6zGBcZwukdm2MPOMGbaoiIiAigcHXcFK5EGg7DMFix7SBvLdnOt3+kUtrBvWVEME0aBZYEKidOl7vGvjM8OJDh3aMZ2bMliW0jsVrVIlpEROREpXB1nBSuRBqm3YfyeHfZDj5csYvM/PKtxRs7Amja2E5kIztBATZsVgtWq4UAqwWrxYLNCjarpdKmHIZh8Ov2Q+zLPtz6OjosiJG9YhnZM5ZTYsNqpaGHiIiI+I/C1XFSuBJp2PKdLn7esp9Am5Wmje00beygaSM7QYHHcEPYI7jcBsu3pfPF6r3MW5dCdkGxZ11MeBBtmzWidWQIrZuG0DoyhDaR5vuw4AAKi93kFBaTU1BMTmEx2SXPLrdB++aNiG/W6MS/h5eIiEgDo3B1nBSuRKQ6CotdLNi0ny/X7OX7DWkUFlc+9TDAaqHYXfV/bgNtFto3b0ynqFA6R4fSueS5VZOj33hZREREaofC1XFSuBIRX+UUFrMxJYsd6XnsPJjHroN57Dhovt5fZhohmNMTGzsCaBxkPhuGwdZ9OeQ6XRXuOyIkkB6tIujZKtzz3CLsKPc7qoBhGBzIcbLzYB6NHDZaR4YQYg84puMVERE5WShcHSeFKxGpSXnOYjLzi2jsCKCRPaDCBhhut8GejHw2p2WzKS2bzanZbErLYeu+bIpc5f8zHRMeRPeW4TQPddA4KIBQT2ALpLEjgGC7jbSsAnak57L9QB7b03PZkZ5HTmGx136aNXbQpmQKY+vIENo0DaFzdCgJ0WGebosiIiInM4Wr46RwJSL1RWGxi02p2fy2O5PfdmWwdncGW/blcKz/5bZYICYsiLwiFxl55Zt+lAoNCqBfmyb0b9uU/m0j6d4yvFbazxuGgcttEKBrzUREpJ5SuDpOClciUp/lFhazbk8mG1KyyMwvJqewiOyCYrLLNMvILSymeag5KhXftJH5aBZCXGQIjgCzsUdmfhE70/PYcTCXnQfz2JlujnCt25NVboQrKNBK77gm9GgVTkx4EDERwcSGBxMTEUTTRvZy14S53AbZBUVk5puPg7lOUjILzEdGfslr8zm/yEXbZo3o3jKc7i3D6dYynFNiwwgNCqyzn6mIiEhlFK6Ok8KViJzMil1uNqRks3xbOr9sP8gv2w9xMNdZ6fb2ACsx4UE0dgR4wlROYfExj66VatusEd1ahtOndQR92zShS0zYcXdTNAyDnMJiAm3WGukeKSIiJz6Fq+OkcCUicphhGPy5P4fl2w6ydV8OKRnmqNPezAIO5BRWGaKCA22EBwcSERJIbEQw0eFBxIYHER0eXPIcRIg9gA2pWfyxJ5Pf92Sybk8WezLyK9xXz7hw+rWJpG+bJvRuHYE9wEqe00W+00We00Wes5j8Ihd5hS725xR6RslSsw6PmpU2DolsZCc6zKwhOjyImLAgosKDPMuiwoIICwpQp0YRkZOcwtVxUrgSEakeZ7GbtJLgkussJjw40PMICwo85uu0DuY6Wbcnk7W7M1i54xArdxwiq6D46B+sYUGBVqLDgmgRZoauqDAHLUKDaBHmoHno4dehjsMhzDAMCovd5Dld5BaaYS/f6aLI5cbpclPkMigqdnveG4YZ9FqEOYgKDSIiJFCBTkSkHlG4Ok4KVyIi9YvbbY6e/VoStFbuOMS2A7me9UGBVkLsAQQH2gixm49mjR3miFTJSFlMyQhVdFgQRS63OaJVZlQrLbOAlCzzOS27oMqGH0cKCrTS2BFIQZE5enaUW5pVyW6z0jzU4Xk0stsICjQfjkArQQElrwOsFLvdFBS5KShymc/FLgqKXBQWuwl1BNCiJBBGhZojcVFhDpo2dqgTpIiIDxSujpPClYhI/ZdTWIwFc7pgRe3tj1dBkYt9WYWkZhWQVuaxL7uQfVmF7MsuYF9WIdmFlY+oOQKshNhtBAfasAdYsQdYCbSZD7vNSmCAWfeBbCf7sgs45EOgO1Y2q4XQIDOIBpfUFlIS4EpfB5e8L609qMy2jgAz2DkCrTgCzONylByXzWrBZrFgsZjfY7VYsFrBarHgNgwMA9yGgdswA3PpbyBBgVaC7DZCAm3qHCki9Y4v2UB3jxQRkQapsaN2/xcWFGijddMQWjcNqXK7fKeLfdkF5BQWE2IPoFFJOAmxB/g8QlRY7GJ/dqEnwB3IKSTfaY5GmaNSh0epCotdJY05zJBjjm5ZPaNaWfnFpGUXsC+rgLSSMLg/uxCX2yAjr4gMaj/IHQu7zeoJcsF2G1XNkAywWsoFVvO9xXwfUHZZmXBrtWC1miHQarFgLXm2lHlttYDF4r2NxWLBAp7tStdB6edLnvH+rAWwWks/V/K+ZB949l+6/eHvKV0GYMHi9bOwWMxlVuvhdebpVvYYDofbcq8tHHG85j5K92s+l36XpcxrNG1VpAoKVyIiIsch2G6jTdNGNbIvR4CNVk1CaNWk6kB3rFxug/ScQrIKish3uj0NQPKdLrMRSEmQK/e+zLLCYjfOYjeFxWbAKyxylyxzYRjgKrl3WdnXQLmQYi0TTAqKXJ6plE6XG2e+m8z8+hn+5LCKAljZMIjn9eHQVtnnPBse8bKqIHfkKovXOkul6w5/1lLmNd4BstJ11aunfG3VD6SWCn4OFW9XxTEe5et8+VlVV1WZu6rjr+pzrZoE8/q4U4+xIv9QuBIRETlJ2KwWWpQ06KhLhmFU+UtpaROQfKeLvNIgVxLmKrt6wcAMi06Xm6Li0mYhboqKDQpLlhW5zCBoNg8xcBa7cbpcuNzmd7oNw+u1uyQQ4pm+aC4zjMNhsWS1p66y0x3Lriv9nOfzJdu63eZz6WfL7t99xHal31H6EzD3b5R5XfJc8rnS73OXrHSVHkPJd5bWX1NKa/C8KfcnJHJ8nC63v0vwmcKViIiI1KqjTSOzWCyeph1N6qimk9WRwc9dQbAzDDzZyOBwICsNcJ5Qd3gjz7JKP1Mma1W2Xdkaj1xW9nPlP1H5dkaFywyvZUeuOzInlq234loqrv/olVaQSav5yaq//8hta6Ye41gDc5X7rFpDvB+hwpWIiIjIScJisWArMyVORGqWWvKIiIiIiIjUAIUrERERERGRGqBwJSIiIiIiUgMUrkRERERERGqAwpWIiIiIiEgNULgSERERERGpAQpXIiIiIiIiNUDhSkREREREpAYoXImIiIiIiNSAehGuXnrpJeLj4wkKCiIxMZEVK1ZUuf3HH39MQkICQUFBdO/enXnz5nmtNwyDKVOmEBMTQ3BwMElJSWzZsqU2D0FERERERE5yfg9Xc+bMYdKkSTz88MOsWrWKnj17MmzYMPbt21fh9kuWLGHMmDFcf/31rF69mlGjRjFq1CjWrVvn2Wb69Om88MILzJo1i+XLl9OoUSOGDRtGQUFBXR2WiIiIiIicZCyGYRj+LCAxMZFTTz2VmTNnAuB2u4mLi+PWW2/lvvvuK7f96NGjyc3N5euvv/YsGzBgAL169WLWrFkYhkFsbCx33XUXd999NwCZmZlERUXx1ltvccUVVxy1pqysLMLDw8nMzCQsLKyGjlRERERERBoaX7KBX0eunE4nK1euJCkpybPMarWSlJTE0qVLK/zM0qVLvbYHGDZsmGf7bdu2kZqa6rVNeHg4iYmJle6zsLCQrKwsr4eIiIiIiIgv/BquDhw4gMvlIioqymt5VFQUqampFX4mNTW1yu1Ln33Z59SpUwkPD/c84uLijul4RERERETk5BXg7wLqg8mTJzNp0iTP+8zMTFq3bq0RLBERERGRk1xpJqjO1VR+DVfNmjXDZrORlpbmtTwtLY3o6OgKPxMdHV3l9qXPaWlpxMTEeG3Tq1evCvfpcDhwOBye96U/QI1giYiIiIgIQHZ2NuHh4VVu49dwZbfb6du3L8nJyYwaNQowG1okJydzyy23VPiZgQMHkpyczB133OFZNn/+fAYOHAhA27ZtiY6OJjk52ROmsrKyWL58OTfddFO16oqNjWXXrl2EhoZisViO+fhqQlZWFnFxcezatUvNNcQnOnfkWOi8kWOh80aOlc4dORZ1fd4YhkF2djaxsbFH3dbv0wInTZrEuHHj6NevH/3792fGjBnk5uZy7bXXAnD11VfTsmVLpk6dCsDtt9/OkCFDePbZZxkxYgQffvghv/76K6+++ioAFouFO+64g3/+85907NiRtm3b8tBDDxEbG+sJcEdjtVpp1apVrRzvsQoLC9N/dOSY6NyRY6HzRo6Fzhs5Vjp35FjU5XlztBGrUn4PV6NHj2b//v1MmTKF1NRUevXqxTfffONpSLFz506s1sN9N0477TTef/99HnzwQe6//346duzI3Llz6datm2ebe+65h9zcXCZMmEBGRgaDBw/mm2++ISgoqM6PT0RERERETg5+v8+VVE333JJjpXNHjoXOGzkWOm/kWOnckWNRn88bv7Zil6NzOBw8/PDDXg03RKpD544cC503cix03six0rkjx6I+nzcauRIREREREakBGrkSERERERGpAQpXIiIiIiIiNUDhSkREREREpAYoXImIiIiIiNQAhat67qWXXiI+Pp6goCASExNZsWKFv0uSemTq1KmceuqphIaG0qJFC0aNGsWmTZu8tikoKGDixIk0bdqUxo0bc8kll5CWluaniqU+mjZtmucG7KV03khF9uzZw1VXXUXTpk0JDg6me/fu/Prrr571hmEwZcoUYmJiCA4OJikpiS1btvixYqkPXC4XDz30EG3btiU4OJj27dvz+OOPU7anms4dWbhwIX/729+IjY3FYrEwd+5cr/XVOUcOHjzI2LFjCQsLIyIiguuvv56cnJw6PAqFq3ptzpw5TJo0iYcffphVq1bRs2dPhg0bxr59+/xdmtQTP/30ExMnTmTZsmXMnz+foqIizj33XHJzcz3b3HnnnXz11Vd8/PHH/PTTT+zdu5eLL77Yj1VLffLLL7/w73//mx49engt13kjRzp06BCDBg0iMDCQ//3vf6xfv55nn32WJk2aeLaZPn06L7zwArNmzWL58uU0atSIYcOGUVBQ4MfKxd+eeuopXnnlFWbOnMmGDRt46qmnmD59Oi+++KJnG507kpubS8+ePXnppZcqXF+dc2Ts2LH88ccfzJ8/n6+//pqFCxcyYcKEujoEkyH1Vv/+/Y2JEyd63rtcLiM2NtaYOnWqH6uS+mzfvn0GYPz000+GYRhGRkaGERgYaHz88ceebTZs2GAAxtKlS/1VptQT2dnZRseOHY358+cbQ4YMMW6//XbDMHTeSMXuvfdeY/DgwZWud7vdRnR0tPH00097lmVkZBgOh8P44IMP6qJEqadGjBhhXHfddV7LLr74YmPs2LGGYejckfIA4/PPP/e8r845sn79egMwfvnlF882//vf/wyLxWLs2bOnzmrXyFU95XQ6WblyJUlJSZ5lVquVpKQkli5d6sfKpD7LzMwEIDIyEoCVK1dSVFTkdR4lJCTQunVrnUfCxIkTGTFihNf5ATpvpGJffvkl/fr147LLLqNFixb07t2b1157zbN+27ZtpKamep034eHhJCYm6rw5yZ122mkkJyezefNmAH777TcWLVrE+eefD+jckaOrzjmydOlSIiIi6Nevn2ebpKQkrFYry5cvr7NaA+rsm8QnBw4cwOVyERUV5bU8KiqKjRs3+qkqqc/cbjd33HEHgwYNolu3bgCkpqZit9uJiIjw2jYqKorU1FQ/VCn1xYcffsiqVav45Zdfyq3TeSMV+euvv3jllVeYNGkS999/P7/88gu33XYbdrudcePGec6Niv6/pfPm5HbfffeRlZVFQkICNpsNl8vFE088wdixYwF07shRVeccSU1NpUWLFl7rAwICiIyMrNPzSOFK5AQxceJE1q1bx6JFi/xditRzu3bt4vbbb2f+/PkEBQX5uxxpINxuN/369ePJJ58EoHfv3qxbt45Zs2Yxbtw4P1cn9dlHH33E7Nmzef/99znllFNYs2YNd9xxB7GxsTp35ISjaYH1VLNmzbDZbOW6c6WlpREdHe2nqqS+uuWWW/j666/58ccfadWqlWd5dHQ0TqeTjIwMr+11Hp3cVq5cyb59++jTpw8BAQEEBATw008/8cILLxAQEEBUVJTOGyknJiaGrl27ei3r0qULO3fuBPCcG/r/lhzpH//4B/fddx9XXHEF3bt35//+7/+48847mTp1KqBzR46uOudIdHR0uaZvxcXFHDx4sE7PI4Wresput9O3b1+Sk5M9y9xuN8nJyQwcONCPlUl9YhgGt9xyC59//jk//PADbdu29Vrft29fAgMDvc6jTZs2sXPnTp1HJ7GhQ4fy+++/s2bNGs+jX79+jB071vNa540cadCgQeVu9bB582batGkDQNu2bYmOjvY6b7Kysli+fLnOm5NcXl4eVqv3r5w2mw232w3o3JGjq845MnDgQDIyMli5cqVnmx9++AG3201iYmLdFVtnrTPEZx9++KHhcDiMt956y1i/fr0xYcIEIyIiwkhNTfV3aVJP3HTTTUZ4eLixYMECIyUlxfPIy8vzbHPjjTcarVu3Nn744Qfj119/NQYOHGgMHDjQj1VLfVS2W6Bh6LyR8lasWGEEBAQYTzzxhLFlyxZj9uzZRkhIiPHee+95tpk2bZoRERFhfPHFF8batWuNCy+80Gjbtq2Rn5/vx8rF38aNG2e0bNnS+Prrr41t27YZn332mdGsWTPjnnvu8Wyjc0eys7ON1atXG6tXrzYA47nnnjNWr15t7NixwzCM6p0j5513ntG7d29j+fLlxqJFi4yOHTsaY8aMqdPjULiq51588UWjdevWht1uN/r3728sW7bM3yVJPQJU+PjPf/7j2SY/P9+4+eabjSZNmhghISHGRRddZKSkpPivaKmXjgxXOm+kIl999ZXRrVs3w+FwGAkJCcarr77qtd7tdhsPPfSQERUVZTgcDmPo0KHGpk2b/FSt1BdZWVnG7bffbrRu3doICgoy2rVrZzzwwANGYWGhZxudO/Ljjz9W+DvNuHHjDMOo3jmSnp5ujBkzxmjcuLERFhZmXHvttUZ2dnadHofFMMrcHltERERERESOia65EhERERERqQEKVyIiIiIiIjVA4UpERERERKQGKFyJiIiIiIjUAIUrERERERGRGqBwJSIiIiIiUgMUrkRERERERGqAwpWIiIiIiEgNULgSEZGTwv79+7npppto3bo1DoeD6Ohohg0bxuLFiwGwWCzMnTvXv0WKiEiDFuDvAkREROrCJZdcgtPp5O2336Zdu3akpaWRnJxMenq6v0sTEZEThMUwDMPfRYiIiNSmjIwMmjRpwoIFCxgyZEi59fHx8ezYscPzvk2bNmzfvh2AL774gkcffZT169cTGxvLuHHjeOCBBwgIMP990mKx8PLLL/Pll1+yYMECYmJimD59OpdeemmdHJuIiNQfmhYoIiInvMaNG9O4cWPmzp1LYWFhufW//PILAP/5z39ISUnxvP/555+5+uqruf3221m/fj3//ve/eeutt3jiiSe8Pv/QQw9xySWX8NtvvzF27FiuuOIKNmzYUPsHJiIi9YpGrkRE5KTw6aefMn78ePLz8+nTpw9DhgzhiiuuoEePHoA5AvX5558zatQoz2eSkpIYOnQokydP9ix77733uOeee9i7d6/nczfeeCOvvPKKZ5sBAwbQp08fXn755bo5OBERqRc0ciUiIieFSy65hL179/Lll19y3nnnsWDBAvr06cNbb71V6Wd+++03HnvsMc/IV+PGjRk/fjwpKSnk5eV5ths4cKDX5wYOHKiRKxGRk5AaWoiIyEkjKCiIc845h3POOYeHHnqIv//97zz88MNcc801FW6fk5PDo48+ysUXX1zhvkRERMrSyJWIiJy0unbtSm5uLgCBgYG4XC6v9X369GHTpk106NCh3MNqPfy/0GXLlnl9btmyZXTp0qX2D0BEROoVjVyJiMgJLz09ncsuu4zrrruOHj16EBoayq+//sr06dO58MILAbNjYHJyMoMGDcLhcNCkSROmTJnCBRdcQOvWrbn00kuxWq389ttvrFu3jn/+85+e/X/88cf069ePwYMHM3v2bFasWMEbb7zhr8MVERE/UUMLERE54RUWFvLII4/w3Xff8eeff1JUVERcXByXXXYZ999/P8HBwXz11VdMmjSJ7du307JlS08r9m+//ZbHHnuM1atXExgYSEJCAn//+98ZP348YDa0eOmll5g7dy4LFy4kJiaGp556issvv9yPRywiIv6gcCUiInIcKuoyKCIiJyddcyUiIiIiIlIDFK5ERERERERqgBpaiIiIHAfNrhcRkVIauRIREREREakBClciIiIiIiI1QOFKRERERESkBihciYiIiIiI1ACFKxERERERkRqgcCUiIiIiIlIDFK5ERERERERqgMKViIiIiIhIDVC4EhERERERqQH/D6isd9BlGelIAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -457,11 +461,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 17,
    "id": "8e92bb78-8822-4b6b-8423-8e9dd3c04c74",
    "metadata": {},
    "outputs": [],
    "source": [
+    "# this hsould be done once\n",
     "data_dir = f\"{run_dir}/data_test\"\n",
     "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = data_preparation(\n",
     "    daily_test_subset[var_name], monthly_test_subset[var_name], calculate_residuals=True, is_hourly=False, save_to_zarr=True, run_dir=data_dir,\n",
@@ -470,7 +475,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 18,
    "id": "4c30511a-49fc-4a4d-8bfc-61ec3857fde0",
    "metadata": {},
    "outputs": [],
@@ -482,7 +487,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 20,
    "id": "ac99fdf5-dfd8-44a0-957b-dea177ac92a1",
    "metadata": {},
    "outputs": [
@@ -491,16 +496,14 @@
      "output_type": "stream",
      "text": [
       "Creating dataset:\n",
-      "Patch grid (m x i x j): 1 x 16 x 46 = 736 patches\n",
-      "Overlap: 32 pixels (height), 32 pixels (width)\n",
-      "736\n"
+      "Crop grid (m x i x j): 1 x 1 x 1 = 1 data crops\n",
+      "Overlap: 0 pixels (height), 0 pixels (width)\n",
+      "1\n"
      ]
     }
    ],
    "source": [
-    "num_patches = (10, 10)\n",
-    "spatial_patch_size = (patch_size[1]*num_patches[0], patch_size[2]*num_patches[1])\n",
-    "stride = (spatial_patch_size[0] // 5, spatial_patch_size[1] // 5)\n",
+    "spatial_patch_size = monthly_da.shape[1:]  # the whole dataset \n",
     "\n",
     "dataset_test = STDataset(\n",
     "    input_da=input_da,\n",
@@ -509,8 +512,9 @@
     "    padded_days_mask=padded_days_mask,\n",
     "    time_features=time_features,\n",
     "    land_mask=lsm_subset[\"lsm\"],\n",
-    "    patch_size=(1, *spatial_patch_size),  # based on the patch_size in model\n",
-    "    stride=stride,\n",
+    "    model_patch_size=patch_size,\n",
+    "    crop_size=(1, *spatial_crop_size), \n",
+    "    stride=None,  # no stride in inference\n",
     "    sh_embed_dim=96,\n",
     "    sh_order_L = 10,\n",
     "    verbose=True,\n",
@@ -521,17 +525,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 21,
    "id": "c3dadb35-a6a8-413c-869b-1fa90adfec7b",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "DataLoaderConfig(batch_size=10, shuffle=True, num_workers=0, pin_memory=False, persistent_workers=False, device='cpu', multiprocessing_context=None)"
+       "DataLoaderConfig(batch_size=10, shuffle=False, num_workers=0, pin_memory=False, persistent_workers=False, device='cpu', multiprocessing_context=None)"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -540,7 +544,7 @@
     "# create dataloader config\n",
     "dataloader_config = DataLoaderConfig(\n",
     "    batch_size=10,\n",
-    "    shuffle=True,\n",
+    "    shuffle=False,  # no shuffling in inference\n",
     "    num_workers=0,\n",
     "    pin_memory=False,\n",
     "    persistent_workers=False,\n",
@@ -552,7 +556,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 22,
    "id": "dc9bffb1-5db9-46d0-bd0a-987772321451",
    "metadata": {},
    "outputs": [],
@@ -570,7 +574,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 23,
    "id": "7c2deb40-bee8-4973-80f0-9d9485eabf0c",
    "metadata": {},
    "outputs": [
@@ -578,81 +582,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Processed batch 1/74, with loss: 0.0303\n",
-      "Processed batch 2/74, with loss: 0.0230\n",
-      "Processed batch 3/74, with loss: 0.0260\n",
-      "Processed batch 4/74, with loss: 0.0476\n",
-      "Processed batch 5/74, with loss: 0.0320\n",
-      "Processed batch 6/74, with loss: 0.0272\n",
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-      "Processed batch 64/74, with loss: 0.0188\n",
-      "Processed batch 65/74, with loss: 0.0266\n",
-      "Processed batch 66/74, with loss: 0.0409\n",
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-      "Processed batch 69/74, with loss: 0.0195\n",
-      "Processed batch 70/74, with loss: 0.0396\n",
-      "Processed batch 71/74, with loss: 0.0398\n",
-      "Processed batch 72/74, with loss: 0.0265\n",
-      "Processed batch 73/74, with loss: 0.0293\n",
-      "Processed batch 74/74, with loss: 0.0206\n",
-      "Average loss over all batches: 0.0308\n"
+      "Processed batch 1/1, with loss: 0.0545\n",
+      "Average loss over all batches: 0.0545\n"
      ]
     }
    ],
@@ -669,17 +600,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 24,
    "id": "370bf4d4-0f97-418e-ada3-9e958248d386",
    "metadata": {},
    "outputs": [],
    "source": [
-    "predictions_res = xr.open_dataset(f\"{run_dir}/202103_{var_name}_prediction_residual.nc\")"
+    "predictions_res = xr.open_dataset(f\"{run_dir}/202201_{var_name}_prediction_residual.nc\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 25,
    "id": "76a795e8-b77c-4fb3-8c55-43d9996e2c5d",
    "metadata": {},
    "outputs": [],
@@ -692,13 +623,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 26,
    "id": "14789287-c63f-49ad-bb45-e5fe4a7f039f",
    "metadata": {},
    "outputs": [
     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 3 Axes>"
       ]
@@ -716,13 +647,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 27,
    "id": "7ba5d204-aefc-4103-8475-c802c603ad3f",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 3 Axes>"
       ]
@@ -744,13 +675,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 28,
    "id": "a7420dc7-fe1b-4f34-a62e-5914091f04b7",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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HH380ksysWbOy9OWKKlWqGElm48aNjrLMsXbxcqK5c+dm+ffQuHFjU7ZsWXPixAmnmPz8/Mx9993nKMs8ht1///1O/d92222mTJkyTmV5LQNzpY2cji0X/+V1nDxx4oQpW7asad26tVN5/fr1zY033pil/i+//JLtsfJCqamppl69eqZatWrm3Llzufa/bt06Y1mWmTBhQq71jPn/cXfh8TDTmDFjjCSnY0+m/C4Du1Buy8BGjBjhOEZ26dLFvPfee2b69OmmVKlSpkaNGjkuKUbxwzIwFCkvvfSSVqxYkeWvYcOGeT42IiJCv/zyi3799Ve3+/3iiy/k7++vESNGOJU/+uijMsZo2bJlkuRYdpH5i2Om4cOH59j2Qw89lKXswin0lJQUHT9+XNdee60kaevWrVnqP/DAA47/9/f3V9OmTWWMcdpRJSIiQrVr13ZaspCdDz/8UHa7Xb169dLx48cdf+XLl1fNmjW1evVqp/o2my3bZUiS1LNnT0VHR+faX06qVq3qeH+XLVummTNnKjExUV27dnXawebC1+rcuXM6ceKErrzySkVERDi9Vnm9/3///be+/vpr9erVS8nJyY7nfeLECXXu3Fm//vqrjhw54vbz6N27tyIjIx23M39Rz3wfLrXfG2+8UVFRUU47E508eVIrVqxQ7969nZ7/4cOHs12Clpv3339fdevWVZ06dZzGw4033ihJWcZD27ZtVa9evWzbGjRokPz9/d3qP9Prr7+u6OholS1bVi1atNCGDRs0atQojRw50qlev379nMbE9u3b9euvv+qee+7RiRMnHPGfPn1a7du317p162S325WRkaHly5erR48eTktl6tatq86dO+cZ3wcffKBGjRplOwuW125I2XH1mJOpQ4cOTjMNDRs2VFhYWJ7/3nNTr149tWzZ0nG7RYsWks6PuQtfo8zyzL7+/PNPbd++Xf3793eaTW3YsKE6duyY7S/5Fx8HW7durRMnTjiW8bnClTaee+65bD9DLv577LHHcuzHbrerT58++ueffzRr1iyn+86ePSubzZblMUFBQY77czJs2DDt3LlTL774otNS14vFx8frnnvuUbVq1XKN88KYJOU7roJy6tQpSeeX937++efq1auXRo8erVdffVW//fabS0tUUTywDAxFSvPmzbOdyo6MjMxzj/1///vfuvXWW1WrVi1dddVV6tKli/r27etSovP777+rYsWKCg0NdSqvW7eu4/7M//r5+alatWpO9S5eqnKhi+tK57/AxsbG6t1331V8fLzTfYmJiVnqX/jFQZLCw8MVFBSUZYlAeHh4lvNeLvbrr7/KGKOaNWtme3/m0qVMlSpVclp+dKHsnpurQkJCnHa56dKli66//no1bdpU06ZNc5x/c/bsWcXFxWnevHk6cuSI03r+C1+rvN7/ffv2yRijCRMmaMKECdnGFB8fr0qVKrn1PC5+bzITl5MnT3qk34CAAPXs2VOLFi1SamqqbDabPvzwQ507d84pWXn88ce1cuVKNW/eXFdeeaU6deqke+65x2lJXXZ+/fVX7dq1K8ek8+Lxmdt7finj4dZbb9WwYcNkWZZCQ0NVv359hYSE5NlHZnLar1+/HNtOTExUamqqzp49m+24r127dp5LZX777Tf17NnTlafiElePOZkuHmfS+bGWOc7yI7vjiqQsy5gyyzP7yoytdu3aWdqsW7euli9frtOnTzu9f7n9O7l4SZWr8WbXRpMmTVxqKzfDhw/Xl19+qTfffFONGjVyui84ODjLuVzS+R+dMu/PzvTp0/Xqq69q8uTJuummm3Ls+/Tp07r55puVnJys9evXOy1VO3XqlCMBkM7/cBUdHe3oMz9x5SSnvtyR2WevXr2cdta788471bdvX23cuNHphzgUXyQrKDbatGmj3377TR9//LG++uorvfbaa3rhhRc0Z84crx4Qs/uQ6NWrlzZu3KgxY8aocePGKlWqlOx2u7p06ZLt9qbZ/Vqd0y/Y5qKTcy9mt9tlWZaWLVuWbRsXr+PO7UPO3Q/AvDRp0kTh4eFat26do2z48OGaN2+eRo4cqZYtWyo8PFyWZemuu+5yeq3yev8z644ePTrHX9JzSzpzktf74Il+77rrLs2dO1fLli1Tjx49tHjxYtWpU8fpi1TdunW1Z88effbZZ/ryyy/1wQcf6OWXX9ZTTz2VZevVC9ntdjVo0EDPP/98tvdf/MW1oMZD5cqVXdqi9eI+Ml/f6dOnZ9kuOFOpUqWy/SJXlOT333t+2izMvtxp05U2/v77b6WlpeXZVnBwsCMJu1BsbKxefvllTZs2TX379s1yf4UKFbKdCf3zzz8lSRUrVsxy3/z58/X444/roYce0pNPPpljTGlpabr99tv1008/afny5VmuLTZjxgynf8tVqlTRwYMHVaFCBacYLo6rdOnS2c665CanvtyR+VpcfE6Yv7+/ypQpc0mJNi4vJCsoVjJ3ThowYIBOnTqlNm3aaNKkSY5kJaflGlWqVNHKlSuVnJzs9Evn7t27Hfdn/tdut+vAgQNOv9Du27fP5RhPnjypVatWKTY2Vk899ZSjPD/L1/KjRo0aMsaoWrVqqlWrVqH06Y6MjAynX/SWLFmifv36Oe10lpKSon/++SfLY3N7/6tXry7p/MyRK1+KPcUT/bZp00YVKlTQe++9p+uvv15ff/21nnjiiSz1QkJC1Lt3b/Xu3dvxxWfq1KkaN26cYznIxWrUqKEff/xR7du3z9dyJm/LXBoVFhaW6+ub+Qt0dv/O9uzZ41I/P//8c6513Hn9XD3m+KLM2LJ73Xbv3q2oqKhsZ8Xy4onxd/vtt2vt2rV51uvXr59jp7ZMmdfgGjlypB5//PFsH9e4cWOtXr1aSUlJTjNCmzdvdtx/oY8//lgPPPCAbr/9dsdulNmx2+267777tGrVKi1evFht27bNUue+++5z7Cgp/X/iXqlSJUVHR2d7EcnvvvsuxyQ+Nzn15Y7MWa6Lk7u0tDQdP34830uIcfnhnBUUGxcvfypVqpSuvPJKp19UMz9AL/6ie9NNNykjI0MvvviiU/kLL7wgy7IcF6XL/GX85Zdfdqp38brm3GT+OnjxL4ozZ850uY1Lcfvtt8vf31+xsbFZYjDG5LmMrCCtXr1ap06dcpox8Pf3zxLnrFmzslwFOq/3v2zZsmrXrp3mzp2b7S+Q2V3p2RM80a+fn5/uuOMOffrpp3rrrbeUnp7utARMyvr8AwMDVa9ePRljct0dqVevXjpy5IheffXVLPedPXv2knf1KmhNmjRRjRo1NGPGDKckN1Pm6+vv76/OnTtr6dKl+uOPPxz379q1y6UL4/Xs2VM//vijPvrooyz3ZY7PnI4v2XH1mOOLKlSooMaNG2vBggVOz/Xnn3/WV199lesyp9yEhIS49NrlJr/nrLz33nsaMWKE+vTpk+MsoyTdcccdysjI0CuvvOIoS01N1bx589SiRQunmch169bprrvuUps2bbRw4cJcLzI6fPhwvffee3r55Zd1++23Z1unevXq6tChg+PvwiWePXv21Geffea0/fyqVau0d+9e3XnnnTm/YDnIrS9XtWvXTmXLltXChQsdy9Gk8zNNGRkZjl0aAWZWUGzUq1dP7dq1U5MmTVS6dGl9//33WrJkiYYNG+aok/lLz4gRI9S5c2f5+/vrrrvuUvfu3XXDDTfoiSee0MGDB9WoUSN99dVX+vjjjzVy5EjHr7dNmjRRz549NXPmTJ04ccKxdXHmFXxd+WUwLCxMbdq00bPPPqtz586pUqVK+uqrrxzXkyhoNWrU0JQpUzRu3DgdPHhQPXr0UGhoqA4cOKCPPvpIgwcPdrp2R0FJTEzU22+/LUlKT0/Xnj17NHv2bAUHB2vs2LGOejfffLPeeusthYeHq169etq0aZNWrlyZZbtWV97/l156Sddff70aNGigQYMGqXr16vrrr7+0adMmHT58WD/++GOBPFdP9Nu7d2/NmjVLEydOVIMGDRznNmTq1KmTypcvr1atWqlcuXLatWuXXnzxRXXr1i3LeREX6tu3rxYvXqyHHnpIq1evVqtWrZSRkaHdu3dr8eLFWr58ebbnkfkKPz8/vfbaa+ratavq16+vAQMGqFKlSjpy5IhWr16tsLAwffrpp5LOL/H58ssv1bp1aw0ZMkTp6emOa9P89NNPufYzZswYLVmyRHfeeafuv/9+NWnSRH///bc++eQTzZkzR40aNVKNGjUUERGhOXPmKDQ0VCEhIWrRokW25/K4esxxl2VZatu2reN6KQVl+vTp6tq1q1q2bKmBAwc6ti4ODw93ut6UO5o0aaKVK1fq+eefV8WKFVWtWjXHyf3utOGu7777Tvfdd5/KlCmj9u3ba+HChU73X3fddY4Z0hYtWujOO+/UuHHjFB8fryuvvFILFizQwYMH9frrrzse8/vvv+uWW26RZVm644479P777zu12bBhQ8f5dDNnztTLL7+sli1bqmTJko7jYqbbbrstz5mq8ePH6/3339cNN9yghx9+WKdOndL06dPVoEGDLBukvPXWW/r9998d16hZt26dpkyZIun88SCvWb3ff//dsf1/5mxO5uOrVKniWD5ns9k0ffp09evXT23atFHfvn31xx9/6D//+Y9at26dY1KGYqhwNx8D8ic/V7C/eGvRKVOmmObNm5uIiAgTHBxs6tSpY6ZOnWrS0tIcddLT083w4cNNdHS0sSzLacvF5ORk88gjj5iKFSuaEiVKmJo1a5rp06c7bYdqzPkruA8dOtSULl3alCpVyvTo0cPs2bPHSHLaSji3qy4fPnzY3HbbbSYiIsKEh4ebO++80xw9ejTH7Y8vbqNfv34mJCTEpdcpJx988IG5/vrrTUhIiAkJCTF16tQxQ4cONXv27Mmzvcxtey+8irM7Lt5e1LIsU7p0aXPLLbeYH374wanuyZMnzYABA0xUVJQpVaqU6dy5s9m9e3e+3n9jjPntt9/MfffdZ8qXL29KlChhKlWqZG6++WazZMkSRx13ti7O7jW4+H10td/c2O12ExMTk+12t8ac3162TZs2pkyZMsZms5kaNWqYMWPGmMTExDzbTktLM88884ypX7++sdlsJjIy0jRp0sTExsY6PV7ZXGnemLz//eYlp3YvlPmevP/++9nev23bNnP77bc7nn+VKlVMr169zKpVq5zqrV271jRp0sQEBgaa6tWrmzlz5mR7BfuLx5cx57ezHTZsmKlUqZIJDAw0lStXNv369XO6OvfHH39s6tWrZwICApy2Mb54/Bjj+jEnp9fn4hiTk5ONJHPXXXdl+xpd/NjstvrOrq+cxvrKlStNq1atTHBwsAkLCzPdu3c3O3fudKqT0zEsc8xkXk3dGGN2795t2rRpY4KDg522F3anjfzIa+v8i7eiPnv2rBk9erQpX768sdlsplmzZubLL790qpM5XnP6u/D40K9fv1zruvr8fv75Z9OpUydTsmRJExERYfr06WOOHTuWpV5u2ztfeMzLSW7PrW3btlnqv/POO6ZRo0bGZrOZcuXKmWHDhpmkpCSXnhOKB8uYSzgjDoBLtm/frquvvlpvv/22+vTp4+1wABRDX3zxhW6++Wb9+OOPatCggbfDAQCXcM4K4GHZ7Vc/c+ZM+fn55XnleAAoKKtXr9Zdd91FogKgSGFmBfCw2NhY/fDDD7rhhhsUEBCgZcuWadmyZRo8eLDmzp3r7fC8KiEhIcuJ7xcKDAx0uogcLl8ZGRl5bh5QqlSpLFtlAwCKF5IVwMNWrFih2NhY7dy5U6dOndIVV1yhvn376oknnsj1qsTFQdWqVbNczO5ChXHiL3zDwYMH87xI5MSJE/N9MjYA4PJAsgKg0GzYsCHbZXKZIiMjPXKFafi+lJQUrV+/Ptc61atXd+yyBAAonkhWAAAAAPgkTrAHAAAA4JOK9AJ6u92uo0ePKjQ01KWL7QEAAADwPmOMkpOTVbFiRfn55Tx/UqSTlaNHjyomJsbbYQAAAADIh0OHDqly5co53l+kk5XQ0FBJ559kWFiYl6OBO+x2uxISEhQdHZ1rNo3iifGBvDBGkBvGB/LCGPG+pKQkxcTEOL7P56RIJyuZS7/CwsJIVooYu92ulJQUhYWFcZBAFowP5IUxgtwwPpAXxojvyOtUDt4dAAAAAD6JZAUAAACATyJZAQAAAOCTivQ5KwAAACg4xhilp6crIyPD26F4lN1u17lz55SSksI5KwXE399fAQEBl3x5EZIVAAAAZJGWlqY///xTZ86c8XYoHmeMkd1uV3JyMtfqK0AlS5ZUhQoVFBgYmO82SFYAAADgxG6368CBA/L391fFihUVGBh4WX2pz5wx8sQv/8jKGKO0tDQlJCTowIEDqlmzZr5nsEhWAAAA4CQtLU12u10xMTEqWbKkt8PxOJKVghccHKwSJUro999/V1pamoKCgvLVDov0AAAAkC3O58Cl8MT4YQQCAAAA8EleTVYyMjI0YcIEVatWTcHBwapRo4YmT54sY4w3wwIAAADgA7x6zsozzzyj2bNna8GCBapfv76+//57DRgwQOHh4RoxYoQ3QwMAAMBFuncv3P4+/bRw+ytqDh48qGrVqmnbtm1q3Lix1qxZoxtuuEEnT55URESEt8PzCK/OrGzcuFG33nqrunXrpqpVq+qOO+5Qp06d9N1333kzLAAAACBXVatWlWVZsizLsWvawIEDdfLkSa/FdN111+nPP/9UeHi412LwNK/OrFx33XV65ZVXtHfvXtWqVUs//vij1q9fr+effz7b+qmpqUpNTXXcTkpKknR+ez273V4oMcMz7Ha7Y49z4GKMD+SFMVI09Ojh+TaXLs27DuPj0mW+hpl/3lKQXWc+t8xdwS6Ulpbm0rVBYmNjNWjQIGVkZGjv3r168MEHNWLECL355psFFbaTzPcm87mUKFFC5cqVc7rPmzLjyu67uqv/Pr2arIwdO1ZJSUmqU6eO/P39lZGRoalTp6pPnz7Z1o+Li1NsbGyW8oSEBKWkpBR0uPAgu92uxMREGWPYaQRZMD6QF8ZI0RAT4/k24+PzrsP4uHTnzp2T3W5Xenq60tPTHeV2u3+hxpGenuH2Y+x2u6ZPn67XX39dx44dU82aNTV+/Hj17NlTa9euVceOHfXxxx9r4sSJ+uWXX/TFF19o8uTJql+/vgICArRo0SJdddVVWrFiRZ59hYSEKCoqSpJUrlw53XvvvXrvvfccr9mJEyf08MMPa/369Tp58qSqV6+uxx9/XHfddZejjQ8++EBTpkzRb7/9ppIlS6px48b64IMPFBISIkl644039MILL+jgwYOqUqWKhg0bpoceeuh/r0+647/p6emO5xcfH6+IiAi9+eabevTRR7Vw4UI9+uijOnz4sFq1aqVXX31VFSpUcMSQWx+XIj09XXa7XSdOnFCJEiWc7ktOTnapDa8mK4sXL9bChQu1aNEi1a9fX9u3b9fIkSNVsWJF9evXL0v9cePGadSoUY7bSUlJiomJUXR0tMLCwgozdFwiu90uy7IUHR3NBwmyYHwgL4yRouHQIc+3WbZs3nUYH5cuJSVFycnJCggIcJp1KOyX8+IZD1dMnTpVCxcu1OzZs1WzZk2tW7dO/fv3V/ny5eXvfz7ZmjBhguLi4lSrVi1FRkbKsiy99dZbeuihh7R+/XqX+/bz83PUO3LkiL744gu1aNHCUZaenq6mTZtq7NixCgsL0+eff64BAwaoVq1aat68uf7880/17dtXzzzzjG677TYlJyfrm2++kb+/vwICArRw4ULFxsZq1qxZuvrqq7Vt2zYNHjxYoaGh6tevn6OfzPcp8/ll3vbz89OZM2c0c+ZMvfXWW/Lz81Pfvn01btw4vf3225KUZx+XIjOGMmXKZLnOiqvXXfFqsjJmzBiNHTvWkV02aNBAv//+u+Li4rJ9cWw2m2w2W5ZyPz8/DkZFkGVZvHfIEeMDeWGM+L6CWIXi6tvN+Lg0fn5+jvMxvHnRRHe7Tk1NVVxcnFauXKmWLVtKkmrUqKENGzbolVde0eDBgyWdX77VsWNHp4tC1qxZU9OnT3erv7Fjx2rChAnKyMhQSkqKWrRooRdeeMHRZuXKlTVmzBhH/REjRuirr77S+++/rxYtWujYsWNKT09Xz549VaVKFUlSw4YNHfUnTZqk5557Tj179pQkVa9eXbt27dIrr7yi/v37O/q5+L268Pa5c+c0Z84c1ahRQ5I0bNgw/fvf/3bUzauPS5EZQ3b/Fl39t+nVZOXMmTNZAvX392eNKQAAANy2b98+nTlzRh07dnQqT0tL09VXX+243bRp0yyPbdKkidv9jRkzRv3795cxRocOHdL48ePVrVs3rVu3znGKw9NPP63FixfryJEjSktLU2pqqkqWLClJatSokdq3b68GDRqoc+fO6tSpk+644w5FRkbq9OnT+u233zRw4EANGjTI0Wd6erpbJ9CXLFnSkahIUoUKFRT/v/WUnuqjIHk1WenevbumTp2qK664QvXr19e2bdv0/PPP6/777/dmWAAAwEe5snWuZZ0/X+bQIddmd9ge9/Jx6tQpSdLnn3+uSpUqOd1ns9n022+/SZLjfJALZVeWl6ioKF155ZWSzs/MzJw5Uy1bttTq1avVoUMHTZ8+Xf/5z380c+ZMNWjQQCEhIRo5cqTS0tIknf+RfsWKFdq4caO++uorzZo1S0888YQ2b97sSGheffVVtWjRwqnfzOVerrj4XBHLshwn32e+XpfaR0HyarIya9YsTZgwQUOGDFF8fLwqVqyoBx98UE899ZQ3wwIAAEARVK9ePdlsNv3xxx9q27Ztlvszk5WCkvkF/+zZs5KkDRs26NZbb9W9994r6fz5VHv37lW9evUcj7EsS61atVKrVq301FNPqUqVKvroo480atQoVaxYUfv3789x86lLVa5cuQLv41J5NVkJDQ3VzJkzNXPmTG+GAQAAgMtAaGioRo8erUceeUR2u13XX3+9EhMTtWHDBoWFhTnOC/GU5ORkHTt2zLEM7LHHHlN0dLSuu+46SednW5YsWaKNGzcqMjJSzz//vP766y9HsrJ582atWrVKnTp1UtmyZbV582YlJCSobt26ks6fWzNixAiFh4erS5cuSk1N1ffff6+TJ086bTp1KQqjj0vh1WQFAAAARUdRWDI3efJkRUdHKy4uTvv371dERISuueYajR8/3uPnRT/11FOOFUHR0dFq1qyZvvrqK5UpU0aS9OSTT2r//v3q3LmzSpYsqcGDB6tHjx5KTEyUJIWFhWndunWaOXOmkpKSVKVKFT333HPq2rWrJOmBBx5QyZIlNX36dI0ZM0YhISFq0KCBRo4c6bHnUBh9XArL+MIVY/IpKSlJ4eHhSkxMZOviIsZutys+Pl5ly5ZlpxZkwfhAXhgjRYMr55cUBMuyKyYmXocOlZUxeY+PovAFvLClpKTowIEDqlatmstbzBYlF14M0pu7nV3uchtHrn6P5wgPAAAAwCeRrAAAAAAXWLhwoUqVKpXtX/369b0dXrHCOSsAAADABW655ZYsW/lmungrYBQskhUAAADgAqGhoQoNDfV2GBDLwAAAAAD4KJIVAAAAAD6JZAUAAACATyJZAQAAAOCTSFYAAAAA+CSSFQAAAMCHVa1aVTNnznTctixLS5cuvaQ2PdFGYWDrYgAAALhmTffC7a/dp4XbnxuqVq2q33//XZJUsmRJ1a5dW+PGjdOdd95Z4H3/+eefioyMdKnupEmTtHTpUm3fvj3fbXgTMysAAAAolowxSk9Pz1Kelpbm0uP//e9/688//9S2bdvUrFkz9e7dWxs3bsy2rqttuqJ8+fKy2Wxeb6MwkKwAAADgsmG32xUXF6dq1aopODhYjRo10pIlSyRJa9askWVZWrZsmVq0aKGgoCCtX79e7dq107BhwzRy5EhFRUWpc+fOLvUVGhqq8uXLq1atWnrppZcUHBysTz89PxtUtWpVTZ48Wffdd5/CwsI0ePBgSdL69evVunVrBQcHKyYmRiNGjNDp06cdbcbHx6t79+4KDg5WtWrVtHDhwiz9XryE6/Dhw7r77rtVunRphYSEqGnTptq8ebPmz5+v2NhY/fjjj7IsS5Zlaf78+dm2sWPHDt14440KDg5WmTJlNHjwYJ06dcpxf//+/dWjRw/NmDFDFSpUUJkyZTR06FCdO3fOpdcqv1gGBgAAgMtGXFyc3n77bc2ZM0c1a9bUunXrdO+99yo6OtpRZ9y4cZo2bZpq1qyp0qVLS5IWLFigf/3rX9qwYUO++g0ICFCJEiWcZlBmzJihp556ShMnTpQk/fbbb+rSpYumTJmiN954QwkJCRo2bJiGDRumefPmSTqfFBw9elSrV69WiRIlNGLECMXHx+fY76lTp9S2bVtVqlRJn3zyicqXL6+tW7fKbrerd+/e+vnnn/Xll19q5cqVkqTw8PAsbZw+fVqdO3dWy5YttWXLFsXHx+uBBx7QsGHDHMmNJK1evVoVKlTQ6tWrtW/fPvXu3VuNGzfWoEGD8vWauYJkBQAAAJeF1NRUPf3001q5cqVatmwpSapevbrWr1+vuXPnOmY3YmNj1aFDBwUEBMiyLElSzZo19eyzz+ar37S0ND333HNKTEzUjTfe6Ci/8cYb9eijjzpuP/DAA+rTp49Gjhzp6PO///2v2rZtq9mzZ+uPP/7QsmXL9N1336lZs2aSpNdff11169bNse9FixYpISFBW7ZscSReV155peP+UqVKKSAgQOXLl8+1jZSUFL355psKCQmRJL344ovq3r27nnnmGZUrV06SFBkZqRdffFH+/v6qU6eOunXrplWrVpGsAAAAAHnZt2+fzpw5o44dOzqVp6Wl6eqrr3bcbtq0aZbHNmnSxO3+Hn/8cT355JNKSUlRqVKlNG3aNHXr1i3Hfn788Uf99NNPTku7jDGy2+06cOCA9u7dq4CAAKdY6tSpo4iIiBxj2L59u66++mpHopIfu3btUqNGjRyJiiS1atVKdrtde/bscSQr9evXl7+/v6NOhQoVtGPHjnz36wqSFQAAAFwWMs+x+Pzzz1WpUiWn+2w2m3777TdJcvpSnim7sryMGTNG/fv3V6lSpVSuXDnHLE1ObZ46dUoPPvigRowYkaWtK664Qnv37nU7huDgYLcfk18lSpRwum1Zlux2e4H2SbICAACAy0K9evVks9n0xx9/qG3btlnuz0xWPCUqKsppyVVerrnmGu3cuTPHx9SpU0fp6en64YcfHMvA9uzZo3/++SfHNhs2bKjXXntNf//9d7azK4GBgcrIyMg1rrp162r+/Pk6ffq0I8HasGGD/Pz8VLt2bRefXcFgNzAAAABcFkJDQzV69Gg98sgjWrBggX777Tdt3bpVs2bN0oIFC7wdnh5//HFt3LhRw4YN0/bt2/Xrr7/q448/1rBhwyRJtWvXVpcuXfTggw9q8+bN+uGHH/TAAw/kOnty9913q3z58urRo4c2bNig/fv364MPPtCmTZsknd+V7MCBA9q+fbuOHz+u1NTULG306dNHQUFB6tevn37++WetXr1aw4cPV9++fR1LwLyFmRUAAAC4xocv0php8uTJio6OVlxcnPbv36+IiAhdc801Gj9+fIEvWcpLw4YNtXbtWj3xxBNq3bq1jDGqUaOGevfu7agzb948PfDAA2rbtq3KlSunKVOmaMKECTm2GRgYqK+++kqPPvqobrrpJqWnp6tevXp66aWXJEk9e/bUhx9+qBtuuEH//POP5s2bp/79+zu1UbJkSS1fvlwPP/ywmjVrppIlS6pnz556/vnnC+R1cIdljDHeDiK/kpKSFB4ersTERIWFhXk7HLjBbrcrPj5eZcuWlZ8fE3xwxvhAXhgjnte9kC9MXpAsy66YmHgdOlRWxuQ9Pj71/e/fhS4lJUUHDhxQtWrVFBQU5O1wPC7zYpAX7gYGz8ttHLn6PZ4jPAAAAACfRLICAAAAXGDhwoUqVapUtn/169f3dnjFCuesAAAAABe45ZZb1KJFi2zvu3j7XhQskhUAAADgAqGhoQoNDfV2GBDJCgAA3rXGw2e2F4HdmlB0FOF9mOADPDF+vHrOStWqVWVZVpa/oUOHejMsAACAYi1zqdOZM2e8HAmKsszxcylL57w6s7JlyxanK2r+/PPP6tixo+68804vRgUAAFC8+fv7KyIiQvHx8ZLOX4fjctril62LC5YxRmfOnFF8fLwiIiLk7++f77a8mqxER0c73Z42bZpq1Kihtm3beikiAAAASFL58uUlyZGwXE6MMbLb7fLz8yNZKUARERGOcZRfPnPOSlpamt5++22NGjUqx0GTmpqq1NRUx+2kpCRJ5y8O5u0rksI9drvdcaAALsb4QF4uqzFiPPxFKZ+vyeX0fc2y7LIsI8ty7bW4HIZRQSlXrpyioqJ07tw5b4fiUXa7XX///bdKly7NhWULSIkSJeTv7y9jTLbnrrh6/PaZZGXp0qX6559/1L9//xzrxMXFKTY2Nkt5QkKCUlJSCjA6eJrdbldiYqKMMRwkkAXjA3m5rMZIeoxn28vnr+AxHg7Du+yKikr83xekvMfHZThxgDzY7XadPn1aAQEBRf8YUkQlJye7VM9nkpXXX39dXbt2VcWKFXOsM27cOI0aNcpxOykpSTExMYqOjlZYWFhhhAkPsdvtsixL0dHRHCSQBeMDeXFrjKzt4dnO2y71bHsBhzzbXtmy+XrYIQ+H4U3nZ1YsHT4cLWPyPobk8yVDEcbnjPcFBQW5VM8nkpXff/9dK1eu1IcffphrPZvNJpvNlqXcz8+PgVYEWZbFe4ccMT6QF5fHiOXhrVc9PSZ9JL7LbYdaYywZ4+dSssJhpnjic8a7XH3dfeLdmTdvnsqWLatu3bp5OxQAAAAAPsLrMyt2u13z5s1Tv379FBDg9XAAACgSvtuSffnk5wo3DgAoSF6fWVm5cqX++OMP3X///d4OBQAAAIAP8fpURqdOnbLdzgwAAABA8eb1mRUAAAAAyA7JCgAAAACfRLICAAAAwCeRrAAAAADwSSQrAAAAAHwSyQoAAAAAn0SyAgAAAMAnef06KwAAFClruns7AgAoNphZAQAAAOCTSFYAAAAA+CSSFQAAAAA+iWQFAAAAgE8iWQEAAADgk0hWAAAAAPgkkhUAAAAAPolkBQAAAIBPIlkBAAAA4JNIVgAAAAD4JJIVAAAAAD6JZAUAAACATwrwdgAAAMBzJrTp7tH2Jq/71KPtAYA7mFkBAAAA4JNIVgAAAAD4JJIVAAAAAD6JZAUAAACATyJZAQAAAOCTSFYAAAAA+CSSFQAAAAA+yevJypEjR3TvvfeqTJkyCg4OVoMGDfT99997OywAAAAAXubVi0KePHlSrVq10g033KBly5YpOjpav/76qyIjI70ZFgAAAAAf4NVk5ZlnnlFMTIzmzZvnKKtWrVqO9VNTU5Wamuq4nZSUJEmy2+2y2+0FFyg8zm63yxjD+4ZsMT6QF7fGiLEKPiAvMIXUj2UVvX+HlmWXZRmXY+dQU/zwOeN9rr72Xk1WPvnkE3Xu3Fl33nmn1q5dq0qVKmnIkCEaNGhQtvXj4uIUGxubpTwhIUEpKSkFHS48yG63KzExUcYY+fl5fTUifAzjA3lxa4ykxxROUIUsNaRw+omJiS+cjjzKrqio8+PDlRXv8UXxKeKS8DnjfcnJyS7V82qysn//fs2ePVujRo3S+PHjtWXLFo0YMUKBgYHq169flvrjxo3TqFGjHLeTkpIUExOj6OhohYWFFWbouER2u12WZSk6OpqDBLJgfCAvbo2RgEOFE1Qh+/104fRz6FDZwunIg87PrFg6fDhaxuR9DClb9J4iLhGfM94XFBTkUj2vJit2u11NmzbV008/LUm6+uqr9fPPP2vOnDnZJis2m002my1LuZ+fHwOtCLIsi/cOOWJ8IC8ujxGrsBZMFa7CWtzmypd9X2SMJWP8XIqfw0zxxOeMd7n6unv13alQoYLq1avnVFa3bl398ccfXooIAAAAgK/warLSqlUr7dmzx6ls7969qlKlipciAgAAAOArvJqsPPLII/r222/19NNPa9++fVq0aJFeeeUVDR061JthAQAAAPABbicr8+bN05kzZzzSebNmzfTRRx/pnXfe0VVXXaXJkydr5syZ6tOnj0faBwAAAFB0uZ2sjB07VuXLl9fAgQO1cePGSw7g5ptv1o4dO5SSkqJdu3bluG0xAAAAgOLF7WTlyJEjWrBggY4fP6527dqpTp06euaZZ3Ts2LGCiA8AAABAMeV2shIQEKDbbrtNH3/8sQ4dOqRBgwZp4cKFuuKKK3TLLbfo448/5mqgAAAAAC7ZJZ1gX65cOV1//fVq2bKl/Pz8tGPHDvXr1081atTQmjVrPBQiAAAAgOIoX8nKX3/9pRkzZqh+/fpq166dkpKS9Nlnn+nAgQM6cuSIevXqle1FHQEAAADAVW4nK927d1dMTIzmz5+vQYMG6ciRI3rnnXfUoUMHSVJISIgeffRRHTp0yOPBAgAAACg+Atx9QNmyZbV27Vq1bNkyxzrR0dE6cODAJQUGAAAAoHhze2albdu2uuaaa7KUp6Wl6c0335QkWZbFVegBAAAAXBK3k5UBAwYoMTExS3lycrIGDBjgkaAAAAAAwO1lYMYYWZaVpfzw4cMKDw/3SFAAAMA3TGjT3aPtTV73qUfbA3B5czlZufrqq2VZlizLUvv27RUQ8P8PzcjI0IEDB9SlS5cCCRIAAABA8eNystKjRw9J0vbt29W5c2eVKlXKcV9gYKCqVq2qnj17ejxAAAAAAMWTy8nKxIkTJUlVq1ZV7969FRQUVGBBAQAAAIDb56xwsUcAAAAAhcGlZKV06dLau3evoqKiFBkZme0J9pn+/vtvjwUHAAAAoPhyKVl54YUXFBoa6vj/3JIVAAAAAPAEl5KVC5d+9e/fv6BiAQAAAAAHty8KuXXrVu3YscNx++OPP1aPHj00fvx4paWleTQ4AAAAAMWX28nKgw8+qL1790qS9u/fr969e6tkyZJ6//339dhjj3k8QAAAAADFk9vJyt69e9W4cWNJ0vvvv6+2bdtq0aJFmj9/vj744ANPxwcAAACgmHI7WTHGyG63S5JWrlypm266SZIUExOj48ePezY6AAAAAMWW28lK06ZNNWXKFL311ltau3atunXrJkk6cOCAypUr5/EAAQAAABRPbicrM2fO1NatWzVs2DA98cQTuvLKKyVJS5Ys0XXXXefxAAEAAAAUT25fwb5hw4ZOu4Flmj59uvz9/T0SFAAAAAC4naxkSktLU3x8vOP8lUxXXHHFJQcFAAAAAG4nK3v37tXAgQO1ceNGp3JjjCzLUkZGhseCAwAAAFB8uZ2sDBgwQAEBAfrss89UoUIFWZZVEHEBAAAAKObcTla2b9+uH374QXXq1CmIeAAAuOx8t8XbEQBA0eT2bmD16tXz2PVUJk2aJMuynP5IggAAAABI+ZhZeeaZZ/TYY4/p6aefVoMGDVSiRAmn+8PCwtxqr379+lq5cuX/BxSQ73P+AQAAAFxG3M4MOnToIElq3769U3l+T7APCAhQ+fLl3Q0DAAAAwGXO7WRl9erVHg3g119/VcWKFRUUFKSWLVsqLi4ux+2PU1NTlZqa6ridlJQkSbLb7Vm2UIZvs9vtMsbwviFbjI9ibm2PPKvYjSWTHiN7wCHJMnnU9v5GMHlFWJxYVsH/u7YsuyzLuNwXh5rih88Z73P1tXc7WWnbtq3bweSkRYsWmj9/vmrXrq0///xTsbGxat26tX7++WeFhoZmqR8XF6fY2Ngs5QkJCUpJSfFYXCh4drtdiYmJMsbIz8/tU6dwmWN8FHPpMXlWsRspMSNKRkZ+3s9F8pQa4u0IfEdMTHwh9GJXVNT5Y4grp+fGF0ZI8Cl8znhfcnKyS/Usc/5fslu++eYbzZ07V/v379f777+vSpUq6a233lK1atV0/fXXux1spn/++UdVqlTR888/r4EDB2a5P7uZlZiYGJ08edLtc2XgXXa7XQkJCYqOjuYggSwYH8WcizMrCekxig44JL88Z1a8b8v33o7Ad0z9ZmmB92FZdsXEJOjQoWgZ451jyNKlXukWLuJzxvuSkpIUGRmpxMTEXL/Huz2z8sEHH6hv377q06ePtm7d6kgeEhMT9fTTT+uLL77Id9ARERGqVauW9u3bl+39NptNNpstS7mfnx8DrQiyLIv3DjlifBRjLiYflmXk978/X1cEJn8KTWElD8ZYMsbPa8kKhy7fx+eMd7n6urv97kyZMkVz5szRq6++6rQTWKtWrbR161Z3m3Ny6tQp/fbbb6pQocIltQMAAACg6HM7WdmzZ4/atGmTpTw8PFz//POPW22NHj1aa9eu1cGDB7Vx40bddttt8vf319133+1uWAAAAAAuM24vAytfvrz27dunqlWrOpWvX79e1atXd6utw4cP6+6779aJEycUHR2t66+/Xt9++62io6PdDQsA4C1runs7AgDAZcrtZGXQoEF6+OGH9cYbb8iyLB09elSbNm3S6NGjNWHCBLfaevfdd93tHgAAAEAx4XayMnbsWNntdrVv315nzpxRmzZtZLPZNHr0aA0fPrwgYgQAAABQDLmdrFiWpSeeeEJjxozRvn37dOrUKdWrV0+lSpUqiPgAAAAAFFNuJyuSZIxRUlKSypUrp3r16nk6JgAAAABwbzewY8eO6b777lNkZKTKlSunsmXLKjIyUvfff7/++uuvgooRAAAAQDHk8sxKUlKSrrvuOp06dUoDBgxQnTp1ZIzRzp079c4772j9+vXaunUry8EAAAAAeITLycp//vMf+fv765dffsmytfCTTz6pVq1a6b///a/Gjx/v8SABAAAAFD8uLwP7/PPPNX78+GyvgVK2bFmNGzdOn376qUeDAwAAAFB8uZys7N27V9ddd12O91933XXas2ePR4ICAAAAAJeTlaSkJEVEROR4f0REhJKSkjwREwAAAAC4nqwYY+Tnl3N1y7JkjPFIUAAAAADg8gn2xhjVqlVLlmXleD8AAAAAeIrLycq8efMKMg4AAAAAcOJystKvX7+CjAMAAAAAnLh1BXsAAAAAKCwkKwAAAAB8EskKAAAAAJ9EsgIAAADAJ7mdrKxevbog4gAAAAAAJ24nK126dFGNGjU0ZcoUHTp0qCBiAgAAAAD3k5UjR45o2LBhWrJkiapXr67OnTtr8eLFSktLK4j4AAAAABRTbicrUVFReuSRR7R9+3Zt3rxZtWrV0pAhQ1SxYkWNGDFCP/74Y0HECQAAAKCYuaQT7K+55hqNGzdOw4YN06lTp/TGG2+oSZMmat26tX755RdPxQgAAACgGMpXsnLu3DktWbJEN910k6pUqaLly5frxRdf1F9//aV9+/apSpUquvPOOz0dKwAAAIBiJMDdBwwfPlzvvPOOjDHq27evnn32WV111VWO+0NCQjRjxgxVrFjRo4ECAAAAKF7cTlZ27typWbNm6fbbb5fNZsu2TlRUFFscAwAAALgkbi8Dmzhxou68884siUp6errWrVsnSQoICFDbtm09EyEAAACAYsntZOWGG27Q33//naU8MTFRN9xwg0eCAgAAAAC3kxVjjCzLylJ+4sQJhYSEeCQoAAAAAHD5nJXbb79dkmRZlvr37++0DCwjI0M//fSTrrvuunwHMm3aNI0bN04PP/ywZs6cme92AAAAAFweXE5WwsPDJZ2fWQkNDVVwcLDjvsDAQF177bUaNGhQvoLYsmWL5s6dq4YNG+br8QAAAAAuPy4nK/PmzZMkVa1aVaNHj/bYkq9Tp06pT58+evXVVzVlyhSPtAkAAACg6HN76+KJEyd6NIChQ4eqW7du6tChQ57JSmpqqlJTUx23k5KSJEl2u112u92jcaFg2e12GWN435AtxkcRY7Kex1jQ7MaSMZbsXug7P4y3A/AhllXw/64tyy7LMoXSV044fPk2Pme8z9XX3qVk5ZprrtGqVasUGRmpq6++OtsT7DNt3brVtQglvfvuu9q6dau2bNniUv24uDjFxsZmKU9ISFBKSorL/cL77Ha7EhMTZYyRn5/b+zzgMsf4KGLSYwq9S7uREjOiZGTkVwTylVT2n3GIiYkvhF7sioo6fwzJx15CHhFfGE8T+cbnjPclJye7VM+lZOXWW291nFDfo0ePfAd1oUOHDunhhx/WihUrFBQU5NJjxo0bp1GjRjluJyUlKSYmRtHR0QoLC/NIXCgcdrtdlmUpOjqagwSyYHwUMQGHCr1Lu7FkyVJ0wGH5Wb4/b/H7aW9H4DsOHSpb4H2cn1mxdPhwtIzxzjGkbME/TVwCPme8z9Xv/y4lKxcu/fLUMrAffvhB8fHxuuaaaxxlGRkZWrdunV588UWlpqbK39/f6TE2my3LxSglyc/Pj4FWBFmWxXuHHDE+ihAvJQuWZeT3vz9fVwQmfwpNYSUPxlgyxs9ryQqHLt/H54x3ufq6u33Oiqe0b99eO3bscCobMGCA6tSpo8cffzxLogIAAACgeHEpWYmMjMz1PJULZXd1++yEhobqqquucioLCQlRmTJlspQDAAAAKH5cSla4SCMAAACAwuZSstKvX7+CjkOStGbNmkLpBwAAAIDvcylZSUpKcuy2lXltk5ywKxcAACjuunf3fJuffur5NgFf5/I5K3/++afKli2riIiIbM9fMcbIsixlZGR4PEgAAAAAxY9LycrXX3+t0qVLS5JWr15doAEBAAAAgORistK2bdts/x8AAAAACkq+rrNy8uRJvf7669q1a5ckqV69ehowYIBj9gUAAAAALpXbl+xct26dqlatqv/+9786efKkTp48qf/+97+qVq2a1q1bVxAxAgAAACiG3J5ZGTp0qHr37q3Zs2c7rjKfkZGhIUOGaOjQoVmuSg8AAAAA+eH2zMq+ffv06KOPOhIVSfL399eoUaO0b98+jwYHAAAAoPhyO1m55pprHOeqXGjXrl1q1KiRR4ICAAAAAJeWgf3000+O/x8xYoQefvhh7du3T9dee60k6dtvv9VLL72kadOmFUyUAAAAAIodl5KVxo0by7IsGWMcZY899liWevfcc4969+7tuegAAAAAFFsuJSsHDhwo6DgAAAAAwIlLyUqVKlUKOg4AQGFZ093bEQAA4JJ8XRRSknbu3Kk//vhDaWlpTuW33HLLJQcFAAAAAG4nK/v379dtt92mHTt2OJ3HYlmWpPPXXAEAAACAS+X21sUPP/ywqlWrpvj4eJUsWVK//PKL1q1bp6ZNm2rNmjUFECIAAACA4sjtmZVNmzbp66+/VlRUlPz8/OTn56frr79ecXFxGjFihLZt21YQcQIAgMvAhDaePWdq8rpPPdoeAN/i9sxKRkaGQkNDJUlRUVE6evSopPMn4e/Zs8ez0QEAAAAottyeWbnqqqv0448/qlq1amrRooWeffZZBQYG6pVXXlH16tULIkYAAAAAxZDbycqTTz6p06dPS5L+/e9/6+abb1br1q1VpkwZvffeex4PEAAAAEDx5Hay0rlzZ8f/X3nlldq9e7f+/vtvRUZGOnYEAwAAAIBLle/rrEjSoUOHJEkxMTEeCQYAAAAAMrl9gn16eromTJig8PBwVa1aVVWrVlV4eLiefPJJnTt3riBiBAAAAFAMuT2zMnz4cH344Yd69tln1bJlS0nntzOeNGmSTpw4odmzZ3s8SAAACst3W7wdAQAgk9vJyqJFi/Tuu++qa9eujrKGDRsqJiZGd999N8kKAAAAAI9wexmYzWZT1apVs5RXq1ZNgYGBnogJAAAAANxPVoYNG6bJkycrNTXVUZaamqqpU6dq2LBhHg0OAAAAQPHl0jKw22+/3en2ypUrVblyZTVq1EiS9OOPPyotLU3t27f3fIQAUNyt6e7tCAAA8AqXkpXw8HCn2z179nS6nd+ti2fPnq3Zs2fr4MGDkqT69evrqaeecjofBgAAAEDx5FKyMm/evALpvHLlypo2bZpq1qwpY4wWLFigW2+9Vdu2bVP9+vULpE8AAAAARUO+LwqZkJCgPXv2SJJq166t6Ohot9vo3t15acPUqVM1e/ZsffvttyQrAAAAQDHndrJy+vRpDR8+XG+++absdrskyd/fX/fdd59mzZqlkiVL5iuQjIwMvf/++zp9+rTj+i0XS01NdTqxPykpSZJkt9sdsaBosNvtMsbwviFbjI+LGMvbEfgcu7FkjCV7Abw2xuMtoiBZVtbjhGXZZVkm2/uKMg6JnsPnjPe5+tq7nayMGjVKa9eu1aeffqpWrVpJktavX68RI0bo0Ucfdfs6Kzt27FDLli2VkpKiUqVK6aOPPlK9evWyrRsXF6fY2Ngs5QkJCUpJSXH3qcCL7Ha7EhMTZYyRn5/bm9LhMsf4uEh6/s4LvJzZjZSYESUjIz8P5yupIZ5tDwUrJiY+m1K7oqLOH0PysfGpz4rP7qkiX/ic8b7k5GSX6lnm/L9kl0VFRWnJkiVq166dU/nq1avVq1cvJSQkuNOc0tLS9McffygxMVFLlizRa6+9prVr12absGQ3sxITE6OTJ08qLCzMrX7hXXa7XQkJCYqOjuYggSwYHxdZ28PbEfgcu7GUkB6j6IBD8rM8Oxey5XuPNocCNvWbpVnKLMuumJgEHToULWMun2PI0qXejuDyweeM9yUlJSkyMlKJiYm5fo93e2blzJkzKleuXJbysmXL6syZM+42p8DAQF155ZWSpCZNmmjLli36z3/+o7lz52apa7PZZLPZspT7+fkx0Iogy7J475AjxscFPPxl/HJhWUZ+//vzaLsebQ0FLadkxBhLxvhdVskKh0PP4nPGu1x93d1+d1q2bKmJEyc6Lbs6e/asYmNjczzXxB12u91p9gQAAABA8eT2zMrMmTPVpUuXLBeFDAoK0vLly91qa9y4ceratauuuOIKJScna9GiRVqzZo3b7QAAAAC4/LidrDRo0EC//vqrFi5cqN27d0uS7r77bvXp00fBwcFutRUfH6/77rtPf/75p8LDw9WwYUMtX75cHTt2dDcsAAAAAJcZt5KVc+fOqU6dOvrss880aNCgS+789ddfv+Q2AAAAAFye3DpnpUSJEmwRDAAAAKBQuH2C/dChQ/XMM88oPT29IOIBAAAAAEn5OGdly5YtWrVqlb766is1aNBAISHOV8/68MMPPRYcAAAAgOLL7WQlIiJCPXv2LIhYAAAAAMDB7WRl3rx5BREHAAAAADhx+ZwVu92uZ555Rq1atVKzZs00duxYnT17tiBjAwAAAFCMuZysTJ06VePHj1epUqVUqVIl/ec//9HQoUMLMjYAAAAAxZjLy8DefPNNvfzyy3rwwQclSStXrlS3bt302muvyc/P7U3FAADFzHdbPNeWkZQaIpWt67k2AQC+x+Us448//tBNN93kuN2hQwdZlqWjR48WSGAAAAAAijeXk5X09HQFBQU5lZUoUULnzp3zeFAAAAAA4PIyMGOM+vfvL5vN5ihLSUnRQw895HStFa6zAgAAAMATXE5W+vXrl6Xs3nvv9WgwAHBZWNPd2xEAAHBZcDlZ4foqAAAAAAoT23gBAAAA8EluX8EeAABfseV7yfJ2EACAAsPMCgAAAACfRLICAAAAwCeRrAAAAADwSSQrAAAAAHwSyQoAAAAAn0SyAgAAAMAnsXUxACCL77Z4OwIAAJhZAQAAAOCjSFYAAAAA+CSSFQAAAAA+iWQFAAAAgE8iWQEAAADgk7yarMTFxalZs2YKDQ1V2bJl1aNHD+3Zs8ebIQEAAADwEV5NVtauXauhQ4fq22+/1YoVK3Tu3Dl16tRJp0+f9mZYAAAAAHyAV6+z8uWXXzrdnj9/vsqWLasffvhBbdq08VJUAAAAAHyBT10UMjExUZJUunTpbO9PTU1Vamqq43ZSUpIkyW63y263F3yA8Bi73S5jDO8bslXkx4exvB3BJTPeDiAPRpbjD8WbZWU9TliWXZZlsr2vKCuqh0RfVOQ/Zy4Drr72PpOs2O12jRw5Uq1atdJVV12VbZ24uDjFxsZmKU9ISFBKSkpBhwgPstvtSkxMlDFGfn7s8wBnRX58pMd4O4JLlhri7QhyZySdC4qSSFeKvZiY+GxK7YqKOn8MuZz2EorP7qkiX4r858xlIDk52aV6ljn/L9nr/vWvf2nZsmVav369KleunG2d7GZWYmJidPLkSYWFhRVWqPAAu92uhIQERUdHc5BAFkV+fKzt4e0ILtmW770dQe6MLKWGxMh2+pAsn58HQmG7lPEx9ZulBROUByxd6u0ILh9F/nPmMpCUlKTIyEglJibm+j3eJ2ZWhg0bps8++0zr1q3LMVGRJJvNJpvNlqXcz8+PgVYEWZbFe4ccFenxYRX9L89FYbbCumAxGHCx/I4PY3z3mFMUD4e+rEh/zlwGXH3dvZqsGGM0fPhwffTRR1qzZo2qVavmzXAAAAAA+BCvJitDhw7VokWL9PHHHys0NFTHjh2TJIWHhys4ONiboQEAAADwMq/Oe82ePVuJiYlq166dKlSo4Ph77733vBkWAAAAAB/g9WVgAAAAAJAdzigCAAAA4JNIVgAAAAD4JJ/YuhgAAAC5697d821++qnn2wQ8iZkVAAAAAD6JZAUAAACATyJZAQAAAOCTOGcFQNGzxsMLt9uxaBsAAF/EzAoAAAAAn8TMCgB4eqYmF99t8XybzZt5vk0AAHwBMysAAAAAfBLJCgAAAACfRLICAAAAwCeRrAAAAADwSZxgDwBFXEGctA8AgC9gZgUAAACATyJZAQAAAOCTWAYGAADwPxPaePa6S5PXferR9oDihpkVAAAAAD6JZAUAAACATyJZAQAAAOCTOGcFAACgmOru2VN0JEmfcpoOPIiZFQAAAAA+iWQFAAAAgE8iWQEAAADgk0hWAAAAAPgkTrAHgBx8t8XbEQAAULwxswIAAADAJzGzAqDgrXFzb0xjSekxUsAhyTIFExMAAPB5Xp1ZWbdunbp3766KFSvKsiwtXbrUm+EAAAAA8CFeTVZOnz6tRo0a6aWXXvJmGAAAAAB8kFeXgXXt2lVdu3b1ZggAAAAAfFSROmclNTVVqampjttJSUmSJLvdLrvd7q2wkA92u13GGN634sJYblW3G0vGWLK7+ThP42wZ32VkOf6Ai/nS+LCs4vc5VxQ+2vke4n2uvvZFKlmJi4tTbGxslvKEhASlpKR4ISLkl91uV2Jioowx8vNjU7rLXnqMW9XtRkrMiJKRkZ8Xv2ukhnivb+TOSDoXFCX5xNdR+BpfGh8xMfFejqDwxReBp8z3EO9LTk52qV6RSlbGjRunUaNGOW4nJSUpJiZG0dHRCgsL82JkcJfdbpdlWYqOjuYgURwEHHKrut1YsmQpOuCw/Ly4G9jvp73WNfJw/iuoJdvpw7KYA8NFfGl8HDpU1qv9e0PZIvCU+R7ifUFBQS7VK1LJis1mk81my1Lu5+fHQCuCLMvivSsu8pFwWJaR3//+vMXbv8gid9YFi32Ai/nK+DCm+H3GFZWPdb6HeJerrzvvDgAAAACf5NWZlVOnTmnfvn2O2wcOHND27dtVunRpXXHFFV6MDAAA4NJNaOPmRXHzMHndpx5tD/B1Xk1Wvv/+e91www2O25nno/Tr10/z58/3UlQAiqLvtng7AgAA4GleTVbatWsnY1hrDAAAACArzlkBAAAA4JNIVgAAAAD4JJIVAAAAAD6JZAUAAACATypSF4UEkIM1nt0aU+3YGhMAAHgfMysAAAAAfBIzKwCy8vRMDQAAQD4wswIAAADAJ5GsAAAAAPBJJCsAAAAAfBLnrAAAABQRE9p49pzCyevY/RG+jWQFQJ6+2+LZ9po382x7AADg8kSyAlxmPJ1YAAAAeAvJCuANbA0MAACQJ5IVAIUur9kfIyk1RPr9tGQVSkQAAMAXkawArmAmBABwGeKEffg6ti4GAAAA4JOYWcHliZkQAACAIo+ZFQAAAAA+iWQFAAAAgE8iWQEAAADgk0hWAAAAAPgkkhUAAAAAPondwOAb2L0LAIDLQvcC+Ej/lMu3FFskKwAAAPAILjIJTyNZAbzouy3ejgAAAN/n6dkay5JeecWzbaJgkKx4iqeXMbXz8C8Jvh4fAABAIZo8WTp0SDLGc22yXM3zOMEeAAAAgE/yiZmVl156SdOnT9exY8fUqFEjzZo1S82bN/d2WCgk3btLE9p4ts3mzTzbHgAAAAqf12dW3nvvPY0aNUoTJ07U1q1b1ahRI3Xu3Fnx8fHeDg0AAACAF3l9ZuX555/XoEGDNGDAAEnSnDlz9Pnnn+uNN97Q2LFjvRydF/noVr6OE8K3XFp8RpZSQ2L0++lDmtDGg4tF/4cT1wEAwOXA05sLFLXzaryarKSlpemHH37QuHHjHGV+fn7q0KGDNm3alKV+amqqUlNTHbcTExMlSf/884/sdnvBB5ybU+ne7b+QnErxTDtGllL9zulcSroseT5ZQdHG+EBeGCPIDePj8pGe/k+BtGtZdp07l6T09EAZ47mFRv/847GmHNI9/BWzIGLMj6SkJEmSyWOHA68mK8ePH1dGRobKlSvnVF6uXDnt3r07S/24uDjFxsZmKa9SpUqBxQgAAABvifR2AG6JLALh+lqMycnJCg8Pz/F+ry8Dc8e4ceM0atQox2273a6///5bZcqUkWVZXowM7kpKSlJMTIwOHTqksLAwb4cDH8P4QF4YI8gN4wN5YYx4nzFGycnJqlixYq71vJqsREVFyd/fX3/99ZdT+V9//aXy5ctnqW+z2WSz2ZzKIiIiCjJEFLCwsDAOEsgR4wN5YYwgN4wP5IUx4l25zahk8upuYIGBgWrSpIlWrVrlKLPb7Vq1apVatmzpxcgAAAAAeJvXl4GNGjVK/fr1U9OmTdW8eXPNnDlTp0+fduwOBgAAAKB48nqy0rt3byUkJOipp57SsWPH1LhxY3355ZdZTrrH5cVms2nixIlZlvUBEuMDeWOMIDeMD+SFMVJ0WCav/cIAAAAAwAu8fgV7AAAAAMgOyQoAAAAAn0SyAgAAAMAnkawAAAAA8EkkKyg0f//9t/r06aOwsDBFRERo4MCBOnXqVK71hw8frtq1ays4OFhXXHGFRowYocTExEKMGoXF3fEhSa+88oratWunsLAwWZalf/75p3CCRaF46aWXVLVqVQUFBalFixb67rvvcq3//vvvq06dOgoKClKDBg30xRdfFFKk8AZ3xscvv/yinj17qmrVqrIsSzNnziy8QOE17oyRV199Va1bt1ZkZKQiIyPVoUOHPI85KBwkKyg0ffr00S+//KIVK1bos88+07p16zR48OAc6x89elRHjx7VjBkz9PPPP2v+/Pn68ssvNXDgwEKMGoXF3fEhSWfOnFGXLl00fvz4QooSheW9997TqFGjNHHiRG3dulWNGjVS586dFR8fn239jRs36u6779bAgQO1bds29ejRQz169NDPP/9cyJGjMLg7Ps6cOaPq1atr2rRpKl++fCFHC29wd4ysWbNGd999t1avXq1NmzYpJiZGnTp10pEjRwo5cmRhgEKwc+dOI8ls2bLFUbZs2TJjWZY5cuSIy+0sXrzYBAYGmnPnzhVEmPCSSx0fq1evNpLMyZMnCzBKFKbmzZuboUOHOm5nZGSYihUrmri4uGzr9+rVy3Tr1s2prEWLFubBBx8s0DjhHe6OjwtVqVLFvPDCCwUYHXzBpYwRY4xJT083oaGhZsGCBQUVIlzEzAoKxaZNmxQREaGmTZs6yjp06CA/Pz9t3rzZ5XYSExMVFhamgACvX88UHuSp8YHLQ1pamn744Qd16NDBUebn56cOHTpo06ZN2T5m06ZNTvUlqXPnzjnWR9GVn/GB4sUTY+TMmTM6d+6cSpcuXVBhwkUkKygUx44dU9myZZ3KAgICVLp0aR07dsylNo4fP67JkyfnuTQIRY8nxgcuH8ePH1dGRobKlSvnVF6uXLkcx8OxY8fcqo+iKz/jA8WLJ8bI448/rooVK2b5EQSFj2QFl2Ts2LGyLCvXv927d19yP0lJSerWrZvq1aunSZMmXXrgKBSFNT4AAPCUadOm6d1339VHH32koKAgb4dT7LGWBpfk0UcfVf/+/XOtU716dZUvXz7LSW3p6en6+++/8zzZMTk5WV26dFFoaKg++ugjlShR4lLDRiEpjPGBy09UVJT8/f31119/OZX/9ddfOY6H8uXLu1UfRVd+xgeKl0sZIzNmzNC0adO0cuVKNWzYsCDDhItIVnBJoqOjFR0dnWe9li1b6p9//tEPP/ygJk2aSJK+/vpr2e12tWjRIsfHJSUlqXPnzrLZbPrkk0/4haOIKejxgctTYGCgmjRpolWrVqlHjx6SJLvdrlWrVmnYsGHZPqZly5ZatWqVRo4c6ShbsWKFWrZsWQgRozDlZ3ygeMnvGHn22Wc1depULV++3OkcSniZt8/wR/HRpUsXc/XVV5vNmzeb9evXm5o1a5q7777bcf/hw4dN7dq1zebNm40xxiQmJpoWLVqYBg0amH379pk///zT8Zeenu6tp4EC4u74MMaYP//802zbts28+uqrRpJZt26d2bZtmzlx4oQ3ngI86N133zU2m83Mnz/f7Ny50wwePNhERESYY8eOGWOM6du3rxk7dqyj/oYNG0xAQICZMWOG2bVrl5k4caIpUaKE2bFjh7eeAgqQu+MjNTXVbNu2zWzbts1UqFDBjB492mzbts38+uuv3noKKGDujpFp06aZwMBAs2TJEqfvG8nJyd56CvgfkhUUmhMnTpi7777blCpVyoSFhZkBAwY4HQQOHDhgJJnVq1cbY/5/O9rs/g4cOOCdJ4EC4+74MMaYiRMnZjs+5s2bV/hPAB43a9Ysc8UVV5jAwEDTvHlz8+233zrua9u2renXr59T/cWLF5tatWqZwMBAU79+ffP5558XcsQoTO6Mj8zjx8V/bdu2LfzAUWjcGSNVqlTJdoxMnDix8AOHE8sYYwpvHgcAAAAAXMNuYAAAAAB8EskKAAAAAJ9EsgIAAADAJ5GsAAAAAPBJJCsAAAAAfBLJCgAAAACfRLICAAAAwCeRrAAAAADwSSQrAAAAAHwSyQoA4LI0adIkNW7c2Knsm2++UUREhEaOHCljjHcCAwC4jGQFAFCojDFKT0/PUp6Wlpav9lx93Oeff67OnTtr1KhRmjlzpizLyld/AIDCQ7ICALgkdrtdcXFxqlatmoKDg9WoUSMtWbLEcf+aNWtkWZaWLVumJk2ayGazaf369WrXrp2GDRumkSNHKioqSp07d5YkrV27Vs2bN5fNZlOFChU0duxYp+Qmp8flZtGiRbr99tv17LPP6qmnnvL8iwAAKBAB3g4AAFC0xcXF6e2339acOXNUs2ZNrVu3Tvfee6+io6PVtm1bR72xY8dqxowZql69uiIjIyVJCxYs0L/+9S9t2LBBknTkyBHddNNN6t+/v958803t3r1bgwYNUlBQkCZNmuRo6+LH5eall17SqFGj9MYbb6hPnz6effIAgAJlGRbtAgDyKTU1VaVLl9bKlSvVsmVLR/kDDzygM2fOaNGiRVqzZo1uuOEGLV26VLfeequjTrt27ZSUlKStW7c6yp544gl98MEH2rVrl2OZ1ssvv6zHH39ciYmJ8vPzy/Zx2Zk0aZLi4uKUlpam119/Xffff7+Hnz0AoKAxswIAyLd9+/bpzJkz6tixo1N5Wlqarr76aqeypk2bZnl8kyZNnG7v2rVLLVu2dDqfpFWrVjp16pQOHz6sK664ItvH5aRy5cqKiIjQ9OnT1bVrV1WoUMGlxwEAfAPJCgAg306dOiXp/MnrlSpVcrrPZrM53Q4JCcny+OzKXOHq40JDQ7Vy5Up17NhRN9xwg1avXk3CAgBFCCfYAwDyrV69erLZbPrjjz905ZVXOv3FxMS43V7dunW1adMmp22FN2zYoNDQUFWuXDlfMUZGRmrlypUKCwtTu3btdPTo0Xy1AwAofCQrAIB8Cw0N1ejRo/XII49owYIF+u2337R161bNmjVLCxYscLu9IUOG6NChQxo+fLh2796tjz/+WBMnTtSoUaPk55f/j6yIiAitWLFCkZGRJCwAUISwDAwAcEkmT56s6OhoxcXFaf/+/YqIiNA111yj8ePHu91WpUqV9MUXX2jMmDFq1KiRSpcurYEDB+rJJ5+85DjDw8P11VdfqUuXLmrbtq3WrFmTZekaAMC3sBsYAAAAAJ/EMjAAAAAAPolkBQAAAIBPIlkBAAAA4JNIVgAAAAD4JJIVAAAAAD6JZAUAAACATyJZAQAAAOCTSFYAAAAA+CSSFQAAAAA+iWQFAAAAgE8iWQEAAADgk/4PjS4D++/sCEIAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 800x400 with 1 Axes>"
       ]
diff --git a/notebooks/example_hourly.ipynb b/notebooks/example_hourly.ipynb
index 6d265b0..a67abaa 100644
--- a/notebooks/example_hourly.ipynb
+++ b/notebooks/example_hourly.ipynb
@@ -44,13 +44,13 @@
     "var_name = \"tos\"\n",
     "\n",
     "# 1 month train, 1 month validation and test\n",
-    "hourly_data = xr.open_mfdataset(data_folder / f\"202101_hr_ERA5dc_masked_{var_name}.nc\")\n",
-    "hourly_data_validation = xr.open_mfdataset(data_folder / f\"202102_hr_ERA5dc_masked_{var_name}.nc\")\n",
-    "hourly_data_test = xr.open_mfdataset(data_folder / f\"202103_hr_ERA5dc_masked_{var_name}.nc\")\n",
+    "hourly_data = xr.open_mfdataset(data_folder / f\"202001_hr_ERA5dc_masked_{var_name}.nc\")\n",
+    "hourly_data_validation = xr.open_mfdataset(data_folder / f\"202101_hr_ERA5dc_masked_{var_name}.nc\")\n",
+    "hourly_data_test = xr.open_mfdataset(data_folder / f\"202201_hr_ERA5dc_masked_{var_name}.nc\")\n",
     "\n",
-    "monthly_data = xr.open_mfdataset(data_folder / f\"202101_mon_ERA5dc_full_{var_name}.nc\")\n",
-    "monthly_data_validation = xr.open_mfdataset(data_folder / f\"202102_mon_ERA5dc_full_{var_name}.nc\")\n",
-    "monthly_data_test = xr.open_mfdataset(data_folder / f\"202103_mon_ERA5dc_full_{var_name}.nc\")\n",
+    "monthly_data = xr.open_mfdataset(data_folder / f\"202001_mon_ERA5dc_full_{var_name}.nc\")\n",
+    "monthly_data_validation = xr.open_mfdataset(data_folder / f\"202101_mon_ERA5dc_full_{var_name}.nc\")\n",
+    "monthly_data_test = xr.open_mfdataset(data_folder / f\"202001_mon_ERA5dc_full_{var_name}.nc\")\n",
     "\n",
     "file_name = data_folder / \"era5_lsm_bool.nc\"  # downloded from era5 and regridded using the function `regrid_to_boundary_centered_grid`\n",
     "lsm_mask = xr.open_dataset(file_name)"
@@ -115,7 +115,7 @@
     "set_seed()\n",
     "\n",
     "patch_size = (1, 4, 4)\n",
-    "model = SpatioTemporalModel(patch_size=patch_size, overlap=2, embed_dim=64, dropout=0.2, hidden=64)"
+    "model = SpatioTemporalModel(patch_size=patch_size, embed_dim=64, dropout=0.2, hidden=64)"
    ]
   },
   {
@@ -155,6 +155,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "# this should be done once\n",
     "data_dir = Path(f\"{run_dir}/data_train\")\n",
     "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = data_preparation(\n",
     "    hourly_subset[var_name], monthly_subset[var_name], calculate_residuals=True, is_hourly=True, save_to_zarr=True, run_dir=data_dir,\n",
@@ -192,9 +193,9 @@
    ],
    "source": [
     "# create dataset config\n",
-    "num_patches = (10, 10)\n",
-    "spatial_patch_size = (patch_size[1]*num_patches[0], patch_size[2]*num_patches[1])\n",
-    "stride = (spatial_patch_size[0] // 5, spatial_patch_size[1] // 5)\n",
+    "num_subsets = (10, 10)\n",
+    "spatial_crop_size = (patch_size[1]*num_subsets[0], patch_size[2]*num_subsets[1])\n",
+    "stride = (spatial_crop_size[0] // 5, spatial_crop_size[1] // 5)  # for data agumentation\n",
     "\n",
     "dataset_train = STDataset(\n",
     "    input_da=input_da,\n",
@@ -203,7 +204,8 @@
     "    padded_days_mask=padded_days_mask,\n",
     "    time_features=time_features,\n",
     "    land_mask=lsm_subset[\"lsm\"],\n",
-    "    patch_size=(1, *spatial_patch_size),  # based on the patch_size in model\n",
+    "    model_patch_size=patch_size,\n",
+    "    crop_size=(1, *spatial_crop_size),   # based on the patch_size in model\n",
     "    stride=stride,\n",
     "    sh_embed_dim=96,\n",
     "    sh_order_L = 10,\n",
@@ -228,6 +230,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "# this should be done once\n",
     "data_dir = f\"{run_dir}/data_validation\"\n",
     "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = data_preparation(\n",
     "    hourly_validation_subset[var_name], monthly_validation_subset[var_name], calculate_residuals=True, is_hourly=True, save_to_zarr=True, run_dir=data_dir,\n",
@@ -264,9 +267,9 @@
     }
    ],
    "source": [
-    "num_patches = (10, 10)\n",
-    "spatial_patch_size = (patch_size[1]*num_patches[0], patch_size[2]*num_patches[1])\n",
-    "stride = (spatial_patch_size[0] // 5, spatial_patch_size[1] // 5)\n",
+    "num_subsets = (10, 10)\n",
+    "spatial_crop_size = (patch_size[1]*num_subsets[0], patch_size[2]*num_subsets[1])\n",
+    "stride = (spatial_crop_size[0] // 5, spatial_crop_size[1] // 5)  # for data agumentation\n",
     "\n",
     "dataset_validation = STDataset(\n",
     "    input_da=input_da,\n",
@@ -275,7 +278,8 @@
     "    padded_days_mask=padded_days_mask,\n",
     "    time_features=time_features,\n",
     "    land_mask=lsm_subset[\"lsm\"],\n",
-    "    patch_size=(1, *spatial_patch_size),  # based on the patch_size in model\n",
+    "    model_patch_size=patch_size,\n",
+    "    crop_size=(1, *spatial_crop_size),   # based on the patch_size in model\n",
     "    stride=stride,\n",
     "    sh_embed_dim=96,\n",
     "    sh_order_L = 10,\n",
@@ -428,11 +432,9 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 16,
+   "cell_type": "markdown",
    "id": "59fe46f2-12f2-45ea-81af-e2669cf2c21b",
    "metadata": {},
-   "outputs": [],
    "source": [
     "#### Prepare the test data"
    ]
@@ -444,6 +446,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "# this hsould be done once\n",
     "data_dir = f\"{run_dir}/data_test\"\n",
     "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = data_preparation(\n",
     "    hourly_test_subset[var_name], monthly_test_subset[var_name], calculate_residuals=True, is_hourly=True, save_to_zarr=True, run_dir=data_dir,\n",
@@ -480,9 +483,7 @@
     }
    ],
    "source": [
-    "num_patches = (10, 10)\n",
-    "spatial_patch_size = (patch_size[1]*num_patches[0], patch_size[2]*num_patches[1])\n",
-    "stride = (spatial_patch_size[0] // 5, spatial_patch_size[1] // 5)\n",
+    "spatial_patch_size = monthly_da.shape[1:]  # the whole dataset \n",
     "\n",
     "dataset_test = STDataset(\n",
     "    input_da=input_da,\n",
@@ -491,8 +492,9 @@
     "    padded_days_mask=padded_days_mask,\n",
     "    time_features=time_features,\n",
     "    land_mask=lsm_subset[\"lsm\"],\n",
-    "    patch_size=(1, *spatial_patch_size),  # based on the patch_size in model\n",
-    "    stride=stride,\n",
+    "    model_patch_size=patch_size,\n",
+    "    crop_size=(1, *spatial_crop_size), \n",
+    "    stride=None,  # no stride in inference\n",
     "    sh_embed_dim=96,\n",
     "    sh_order_L = 10,\n",
     "    verbose=True,\n",
@@ -522,7 +524,7 @@
     "# create dataloader config\n",
     "dataloader_config = DataLoaderConfig(\n",
     "    batch_size=10,\n",
-    "    shuffle=True,\n",
+    "    shuffle=False,   # no shuffling in inference\n",
     "    num_workers=0,\n",
     "    pin_memory=True,\n",
     "    persistent_workers=False,\n",
@@ -675,9 +677,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "climanet",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "climanet"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -689,7 +691,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.14.6"
+   "version": "3.11.14"
   }
  },
  "nbformat": 4,

From 628507beab60a7fef8b1911e4270e1a67604c58f Mon Sep 17 00:00:00 2001
From: SarahAlidoost <f.alidoost@esciencecenter.nl>
Date: Mon, 31 Aug 2026 15:22:18 +0200
Subject: [PATCH 19/38] add model.train in train loop (a bug)

---
 climanet/train.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/climanet/train.py b/climanet/train.py
index 61758e7..71e8292 100644
--- a/climanet/train.py
+++ b/climanet/train.py
@@ -178,6 +178,10 @@ def train_monthly_model(
             )
             avg_epoch_loss = avg_val_loss
 
+            # after validation, switch back to training mode because the model
+            # was set to eval mode during validation
+            model.train()
+
             if training_config.store_logs:
                 writer.add_scalar("Loss/validation", avg_val_loss, epoch)
 

From 078121f45c7bbc39583f930fae601d5f75ac4f8d Mon Sep 17 00:00:00 2001
From: SarahAlidoost <f.alidoost@esciencecenter.nl>
Date: Wed, 2 Sep 2026 10:59:15 +0200
Subject: [PATCH 20/38] update scripts

---
 climanet/tune.py                | 14 +++++++++++---
 scripts/run_best_tuned_model.py | 25 +++++++++++--------------
 scripts/training.py             | 26 ++++++++++++--------------
 scripts/tuning.py               | 15 +++++++--------
 4 files changed, 41 insertions(+), 39 deletions(-)

diff --git a/climanet/tune.py b/climanet/tune.py
index 7c99799..16c2f24 100644
--- a/climanet/tune.py
+++ b/climanet/tune.py
@@ -39,13 +39,21 @@ def _tune_data_preparation(data_config):
 def _train(tune_config, static_args):
     """Helper function to train the model with Ray Tune."""
     run_dir = static_args["run_dir"]
+    patch_size = tune_config["patch_size"]
+
+    set_seed()
 
+    # Prepare train dataset
     data_config_train = static_args.get("data_config_train")
+    data_config_train["model_patch_size"] = (1, patch_size, patch_size)
     dataset_train = _tune_data_preparation(data_config_train)
 
+    # Prepare validation dataset
     data_config_validation = static_args.get("data_config_validation")
+    data_config_validation["model_patch_size"] = (1, patch_size, patch_size)
     dataset_validation = _tune_data_preparation(data_config_validation)
 
+    # Prepare dataloader configuration
     use_cuda = static_args["device"] == "cuda"
     dataloader_config = DataLoaderConfig(
         batch_size=tune_config["batch_config"]["batch_size"],
@@ -57,6 +65,7 @@ def _train(tune_config, static_args):
         multiprocessing_context=static_args["dataloader_multiprocessing_context"],
     )
 
+    # Prepare training configuration
     training_config = TrainConfig(
         calculate_residuals=True,
         num_epoch=static_args["num_epoch"],
@@ -71,9 +80,7 @@ def _train(tune_config, static_args):
         store_logs=False,
     )
 
-    set_seed()
-
-    patch_size = tune_config["patch_size"]
+    # Set the model
     embed_dim = tune_config["embed_dim"]
     dropout = tune_config["dropout"]
     hidden = tune_config["hidden"]
@@ -84,6 +91,7 @@ def _train(tune_config, static_args):
         hidden=hidden,
     )
 
+    # Train the model
     _ = train_monthly_model(
         model=model,
         dataset_train=dataset_train,
diff --git a/scripts/run_best_tuned_model.py b/scripts/run_best_tuned_model.py
index e0b3e40..f46d9d7 100644
--- a/scripts/run_best_tuned_model.py
+++ b/scripts/run_best_tuned_model.py
@@ -100,12 +100,15 @@ def main() -> None:
 
     lsm_mask = xr.open_dataset(lsm_file_path)
 
-    num_patches = (10, 10)
-    patch_size = (1, 40, 40)
-    spatial_patch_size = (
-        patch_size[1] * num_patches[0],
-        patch_size[2] * num_patches[1],
-    )
+    analysis = tune.ExperimentAnalysis(str(experiment_path))
+    best_result = analysis.get_best_trial("loss", "min")
+
+    # Get the best hyperparameters
+    best_hyperparameters = best_result.get_best_config(metric="loss", mode="min")
+    print(f"Best hyperparameters: {best_hyperparameters}")
+
+    crop_size = (1, 40, 40)
+    model_patch_size = (1, best_hyperparameters["patch_size"], best_hyperparameters["patch_size"])
 
     dataset_test = STDataset(
         input_da=input_da,
@@ -114,8 +117,9 @@ def main() -> None:
         padded_days_mask=padded_days_mask,
         time_features=time_features,
         land_mask=lsm_mask["lsm"],
-        patch_size=(1, *spatial_patch_size),
+        patch_size=crop_size,
         stride=None,
+        model_patch_size=model_patch_size,
         sh_embed_dim=96,
         sh_order_L=10,
         verbose=True,
@@ -123,13 +127,6 @@ def main() -> None:
     )
     print(f"Created test dataset with {len(dataset_test)} patches.")
 
-    analysis = tune.ExperimentAnalysis(str(experiment_path))
-    best_result = analysis.get_best_trial("loss", "min")
-
-    # Get the best hyperparameters
-    best_hyperparameters = best_result.get_best_config(metric="loss", mode="min")
-    print(f"Best hyperparameters: {best_hyperparameters}")
-
     # Get the best model
     best_checkpoint = best_result.checkpoint
     model_path = Path(best_checkpoint.path) / "checkpoint.pt"
diff --git a/scripts/training.py b/scripts/training.py
index dc4c98a..86730db 100644
--- a/scripts/training.py
+++ b/scripts/training.py
@@ -15,8 +15,9 @@ def _build_dataset(
     years: list[int],
     var_name: str,
     land_mask: xr.DataArray,
-    patch_size: tuple[int, int, int],
+    crop_size: tuple[int, int, int],
     stride: tuple[int, int],
+    model_patch_size: tuple[int, int, int],
 ) -> STDataset:
 
     data = [read_st_data(data_path=f"{prepared_data_dir}/{year}", var_name=var_name) for year in years]
@@ -35,8 +36,9 @@ def _build_dataset(
         padded_days_mask=padded_days_mask,
         time_features=time_features,
         land_mask=land_mask,
-        patch_size=patch_size,
+        crop_size=crop_size,
         stride=stride,
+        model_patch_size=model_patch_size,
         sh_embed_dim=96,
         sh_order_L=10,
         verbose=False,
@@ -87,8 +89,9 @@ def _build_dataset(
     lsm_file_path = lsm_dir / "era5_lsm_bool.nc"
     lsm_mask = xr.open_dataset(lsm_file_path)["lsm"]  # make sure is dask array
 
-    dataset_patch_size = (1, 40, 40)
+    dataset_crop_size = (1, 40, 40)
     dataset_stride = (20, 20)
+    model_patch_size = (1, best_config["patch_size"], best_config["patch_size"])
 
     train_years = [2018, 2019, 2020]
     dataset_train = _build_dataset(
@@ -96,8 +99,9 @@ def _build_dataset(
         years=train_years,
         var_name=var_name,
         land_mask=lsm_mask,
-        patch_size=dataset_patch_size,
+        crop_size=dataset_crop_size,
         stride=dataset_stride,
+        model_patch_size=model_patch_size,
     )
 
     validation_year = [2021]
@@ -106,8 +110,9 @@ def _build_dataset(
         years=validation_year,
         var_name=var_name,
         land_mask=lsm_mask,
-        patch_size=dataset_patch_size,
+        crop_size=dataset_crop_size,
         stride=dataset_stride,
+        model_patch_size=model_patch_size,
     )
 
     # Build the dataloader config
@@ -124,22 +129,15 @@ def _build_dataset(
     )
 
     # Build the model with the best hyperparameters from tuning
-    patch_size = (1, best_config["patch_size"], best_config["patch_size"])
-    overlap = best_config["overlap"]
     embed_dim = best_config["embed_dim"]
     dropout = best_config["dropout"]
     hidden = best_config["hidden"]
-    spatial_depth = best_config["spatial_depth"]
-    spatial_heads = best_config["spatial_heads"]
 
     model = SpatioTemporalModel(
-        patch_size=patch_size,
-        overlap=overlap,
+        patch_size=model_patch_size,
         embed_dim=embed_dim,
         dropout=dropout,
         hidden=hidden,
-        spatial_depth=spatial_depth,
-        spatial_heads=spatial_heads,
     )
 
     # move the model to GPU and configure compute resources
@@ -159,7 +157,7 @@ def _build_dataset(
         optimizer_lr=best_config["optimizer_lr"],
         device=device,
         verbose=True,
-        verbose_epoch_interval=20,
+        verbose_epoch_interval=10,
         tune_checkpoint=False,
         store_model=True,
         store_logs=True,
diff --git a/scripts/tuning.py b/scripts/tuning.py
index ea51005..bf275fe 100644
--- a/scripts/tuning.py
+++ b/scripts/tuning.py
@@ -49,20 +49,22 @@
 
     land_mask_data = xr.open_dataset(lsm_folder / "era5_lsm_bool.nc")["lsm"]
 
+    data_crop_size = (1, 40, 40)
+    data_stride = (20, 20)
     data_config_train = {
         "input_data_dir": data_folder_train,
         "land_mask_data": ray.put(land_mask_data),
         "load_lazy": False,  # one year fits in memory
-        "patch_size": (1, 40, 40),
-        "stride": (20, 20),
+        "crop_size": data_crop_size,
+        "stride": data_stride,
     }
 
     data_config_validation = {
         "input_data_dir": data_folder_validation,
         "land_mask_data": ray.put(land_mask_data),
         "load_lazy": False,  # one year fits in memory
-        "patch_size": (1, 40, 40),
-        "stride": (20, 20),
+        "crop_size": data_crop_size,
+        "stride": data_stride,
     }
 
     # dont use ray.put() (i.e. object store) when data is large
@@ -87,13 +89,10 @@
 
     # parameters to tune
     tune_config = {
-        "patch_size": tune.choice([2, 4, 8]),
-        "overlap": tune.choice([0, 1, 2]),
+        "patch_size": tune.choice([4, 8, 10]),
         "embed_dim": tune.choice([32, 64, 128]),
         "dropout": tune.choice([0.0, 0.1, 0.2]),
         "hidden": tune.choice([32, 64, 128]),
-        "spatial_depth": tune.choice([1, 2, 3]),
-        "spatial_heads": tune.choice([2, 4, 8]),
         "optimizer_lr": tune.loguniform(1e-3, 1e-1),
         "batch_config": tune.grid_search([
             {"batch_size": 100, "accumulation_steps": 2},

From b59ad45df832d0a40ba805e7ae0ff10a91dc2a6b Mon Sep 17 00:00:00 2001
From: SarahAlidoost <f.alidoost@esciencecenter.nl>
Date: Wed, 2 Sep 2026 11:25:11 +0200
Subject: [PATCH 21/38] fix run_best_tuned_model script

---
 scripts/run_best_tuned_model.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/run_best_tuned_model.py b/scripts/run_best_tuned_model.py
index f46d9d7..b06c2e8 100644
--- a/scripts/run_best_tuned_model.py
+++ b/scripts/run_best_tuned_model.py
@@ -104,7 +104,7 @@ def main() -> None:
     best_result = analysis.get_best_trial("loss", "min")
 
     # Get the best hyperparameters
-    best_hyperparameters = best_result.get_best_config(metric="loss", mode="min")
+    best_hyperparameters = best_result.config
     print(f"Best hyperparameters: {best_hyperparameters}")
 
     crop_size = (1, 40, 40)

From eb53befca03575712f48c9b2e2567e7bd902d466 Mon Sep 17 00:00:00 2001
From: SarahAlidoost <f.alidoost@esciencecenter.nl>
Date: Wed, 2 Sep 2026 11:29:00 +0200
Subject: [PATCH 22/38] rerun example_tuning nb

---
 notebooks/example_tuning.ipynb | 140 +++++++++++++++++++++------------
 1 file changed, 90 insertions(+), 50 deletions(-)

diff --git a/notebooks/example_tuning.ipynb b/notebooks/example_tuning.ipynb
index 5988291..7d55036 100644
--- a/notebooks/example_tuning.ipynb
+++ b/notebooks/example_tuning.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 1,
    "id": "57546057-2042-42eb-a793-23e77d22965e",
    "metadata": {},
    "outputs": [],
@@ -33,13 +33,13 @@
     "var_name = \"tos\"\n",
     "\n",
     "# 1 month train, 1 month validation and test\n",
-    "daily_data = xr.open_mfdataset(data_folder / f\"202101_day_ERA5dc_masked_{var_name}.nc\")\n",
-    "daily_data_validation = xr.open_mfdataset(data_folder / f\"202102_day_ERA5dc_masked_{var_name}.nc\")\n",
-    "daily_data_test = xr.open_mfdataset(data_folder / f\"202103_day_ERA5dc_masked_{var_name}.nc\")\n",
+    "daily_data = xr.open_mfdataset(data_folder / f\"202001_day_ERA5dc_masked_{var_name}.nc\")\n",
+    "daily_data_validation = xr.open_mfdataset(data_folder / f\"202101_day_ERA5dc_masked_{var_name}.nc\")\n",
+    "daily_data_test = xr.open_mfdataset(data_folder / f\"202201_day_ERA5dc_masked_{var_name}.nc\")\n",
     "\n",
-    "monthly_data = xr.open_mfdataset(data_folder / f\"202101_mon_ERA5dc_full_{var_name}.nc\")\n",
-    "monthly_data_validation = xr.open_mfdataset(data_folder / f\"202102_mon_ERA5dc_full_{var_name}.nc\")\n",
-    "monthly_data_test = xr.open_mfdataset(data_folder / f\"202103_mon_ERA5dc_full_{var_name}.nc\")\n",
+    "monthly_data = xr.open_mfdataset(data_folder / f\"202001_mon_ERA5dc_full_{var_name}.nc\")\n",
+    "monthly_data_validation = xr.open_mfdataset(data_folder / f\"202101_mon_ERA5dc_full_{var_name}.nc\")\n",
+    "monthly_data_test = xr.open_mfdataset(data_folder / f\"202201_mon_ERA5dc_full_{var_name}.nc\")\n",
     "\n",
     "file_name = data_folder / \"era5_lsm_bool.nc\"  # downloded from era5 and regridded using the function `regrid_to_boundary_centered_grid`\n",
     "lsm_mask = xr.open_dataset(file_name)"
@@ -63,14 +63,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "(31, 160, 400) (1, 160, 400)\n"
+      "(31, 40, 40) (1, 40, 40)\n"
      ]
     }
    ],
    "source": [
     "# coordinates of subset\n",
-    "lon_subset = slice(-50, 50)  # one lon -179.9 is nan, check data\n",
-    "lat_subset = slice(-30, 10)\n",
+    "lon_subset = slice(-0, 10)\n",
+    "lat_subset = slice(-5, 5)\n",
     "\n",
     "daily_subset = daily_data.sel(lon=lon_subset, lat=lat_subset)\n",
     "monthly_subset = monthly_data.sel(lon=lon_subset, lat=lat_subset)\n",
@@ -121,16 +121,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "f1ebcf7b-61d0-4f7c-a895-91ffce764f58",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2026-09-02 11:04:58,564\tINFO worker.py:2024 -- Started a local Ray instance.\n",
+      "\u001b[36m(_train pid=57825)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/sarah/GitHub/ClimaNet/notebooks/tune_daily/sst_01/_train_61ef2_00000_0_patch_size=2_2026-09-02_11-05-02/checkpoint_000000)\n",
+      "\u001b[36m(_train pid=58028)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/sarah/GitHub/ClimaNet/notebooks/tune_daily/sst_01/_train_61ef2_00001_1_patch_size=4_2026-09-02_11-05-13/checkpoint_000000)\n",
+      "\u001b[36m(_train pid=58304)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/sarah/GitHub/ClimaNet/notebooks/tune_daily/sst_01/_train_61ef2_00002_2_patch_size=2_2026-09-02_11-05-21/checkpoint_000000)\n"
+     ]
+    }
+   ],
    "source": [
     "data_config_train = {\n",
     "    \"input_data_dir\": f\"{run_dir}/data_train\",\n",
     "    \"land_mask_data\": ray.put(lsm_subset[\"lsm\"]),\n",
     "    \"load_lazy\": False,  # one year fits in memory\n",
-    "    \"patch_size\": (1, 40, 40),\n",
+    "    \"crop_size\": (1, 40, 40),\n",
     "    \"stride\": (20, 20),\n",
     "    \"var_name\": var_name,\n",
     "}\n",
@@ -139,7 +150,7 @@
     "    \"input_data_dir\": f\"{run_dir}/data_validation\",\n",
     "    \"land_mask_data\": ray.put(lsm_subset[\"lsm\"]),\n",
     "    \"load_lazy\": False,  # one year fits in memory\n",
-    "    \"patch_size\": (1, 40, 40),\n",
+    "    \"crop_size\": (1, 40, 40),\n",
     "    \"stride\": (20, 20),\n",
     "    \"var_name\": var_name,\n",
     "}\n",
@@ -148,7 +159,7 @@
     "static_args = {\n",
     "    \"data_config_train\": data_config_train,\n",
     "    \"data_config_validation\": data_config_validation,\n",
-    "    \"is_hourly\": True,\n",
+    "    \"is_hourly\": False,\n",
     "    \"var_name\": var_name,\n",
     "    \"max_num_epochs\": 1,\n",
     "    \"num_trials\": 2,  # this is num_samples in ray.tune.TuneConfig\n",
@@ -167,14 +178,11 @@
     "# parameters to tune\n",
     "tune_config = {\n",
     "    \"patch_size\": ray.tune.grid_search([2, 4]),\n",
-    "    \"overlap\": 2,\n",
     "    \"embed_dim\": 32,\n",
     "    \"dropout\": 0.0,\n",
     "    \"hidden\": 32,\n",
-    "    \"spatial_depth\": 3,\n",
-    "    \"spatial_heads\": 4,\n",
     "    \"optimizer_lr\": 1e-1,\n",
-    "    \"batch_config\": {\"batch_size\": 10, \"accumulation_steps\": 5},\n",
+    "    \"batch_config\": {\"batch_size\": 10, \"accumulation_steps\": 1},\n",
     "}"
    ]
   },
@@ -190,7 +198,9 @@
    "cell_type": "code",
    "execution_count": 7,
    "id": "be79c19a-5673-4672-b9d9-b1d93da4b0b7",
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
@@ -201,16 +211,16 @@
        "      <h3>Tune Status</h3>\n",
        "      <table>\n",
        "<tbody>\n",
-       "<tr><td>Current time:</td><td>2026-08-07 15:16:27</td></tr>\n",
-       "<tr><td>Running for: </td><td>00:01:11.21        </td></tr>\n",
-       "<tr><td>Memory:      </td><td>11.7/15.3 GiB      </td></tr>\n",
+       "<tr><td>Current time:</td><td>2026-09-02 11:05:37</td></tr>\n",
+       "<tr><td>Running for: </td><td>00:00:34.28        </td></tr>\n",
+       "<tr><td>Memory:      </td><td>9.1/15.3 GiB       </td></tr>\n",
        "</tbody>\n",
        "</table>\n",
        "    </div>\n",
        "    <div class=\"vDivider\"></div>\n",
        "    <div class=\"systemInfo\">\n",
        "      <h3>System Info</h3>\n",
-       "      Using AsyncHyperBand: num_stopped=4<br>Bracket: Iter 1.000: -0.19750321762902395<br>Logical resource usage: 0/8 CPUs, 0/0 GPUs\n",
+       "      Using AsyncHyperBand: num_stopped=4<br>Bracket: Iter 1.000: -1.3557976186275482<br>Logical resource usage: 0/8 CPUs, 0/0 GPUs\n",
        "    </div>\n",
        "    \n",
        "  </div>\n",
@@ -219,13 +229,13 @@
        "    <h3>Trial Status</h3>\n",
        "    <table>\n",
        "<thead>\n",
-       "<tr><th>Trial name        </th><th>status    </th><th>loc                </th><th style=\"text-align: right;\">  patch_size</th><th style=\"text-align: right;\">  iter</th><th style=\"text-align: right;\">  total time (s)</th><th style=\"text-align: right;\">    loss</th></tr>\n",
+       "<tr><th>Trial name        </th><th>status    </th><th>loc               </th><th style=\"text-align: right;\">  patch_size</th><th style=\"text-align: right;\">  iter</th><th style=\"text-align: right;\">  total time (s)</th><th style=\"text-align: right;\">    loss</th></tr>\n",
        "</thead>\n",
        "<tbody>\n",
-       "<tr><td>_train_0804a_00000</td><td>TERMINATED</td><td>192.168.2.13:405106</td><td style=\"text-align: right;\">           2</td><td style=\"text-align: right;\">     1</td><td style=\"text-align: right;\">        14.355  </td><td style=\"text-align: right;\">0.240521</td></tr>\n",
-       "<tr><td>_train_0804a_00001</td><td>TERMINATED</td><td>192.168.2.13:405530</td><td style=\"text-align: right;\">           4</td><td style=\"text-align: right;\">     1</td><td style=\"text-align: right;\">         8.58266</td><td style=\"text-align: right;\">0.154485</td></tr>\n",
-       "<tr><td>_train_0804a_00002</td><td>TERMINATED</td><td>192.168.2.13:406005</td><td style=\"text-align: right;\">           2</td><td style=\"text-align: right;\">     1</td><td style=\"text-align: right;\">        12.0119 </td><td style=\"text-align: right;\">0.240521</td></tr>\n",
-       "<tr><td>_train_0804a_00003</td><td>TERMINATED</td><td>192.168.2.13:406518</td><td style=\"text-align: right;\">           4</td><td style=\"text-align: right;\">     1</td><td style=\"text-align: right;\">         8.52934</td><td style=\"text-align: right;\">0.154485</td></tr>\n",
+       "<tr><td>_train_61ef2_00000</td><td>TERMINATED</td><td>192.168.2.13:57825</td><td style=\"text-align: right;\">           2</td><td style=\"text-align: right;\">     1</td><td style=\"text-align: right;\">         2.82013</td><td style=\"text-align: right;\">0.552378</td></tr>\n",
+       "<tr><td>_train_61ef2_00001</td><td>TERMINATED</td><td>192.168.2.13:58028</td><td style=\"text-align: right;\">           4</td><td style=\"text-align: right;\">     1</td><td style=\"text-align: right;\">         1.70749</td><td style=\"text-align: right;\">2.15922 </td></tr>\n",
+       "<tr><td>_train_61ef2_00002</td><td>TERMINATED</td><td>192.168.2.13:58304</td><td style=\"text-align: right;\">           2</td><td style=\"text-align: right;\">     1</td><td style=\"text-align: right;\">         1.97852</td><td style=\"text-align: right;\">0.552378</td></tr>\n",
+       "<tr><td>_train_61ef2_00003</td><td>TERMINATED</td><td>192.168.2.13:58510</td><td style=\"text-align: right;\">           4</td><td style=\"text-align: right;\">     1</td><td style=\"text-align: right;\">         1.60281</td><td style=\"text-align: right;\">2.15922 </td></tr>\n",
        "</tbody>\n",
        "</table>\n",
        "  </div>\n",
@@ -272,8 +282,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "2026-08-07 15:16:27,661\tINFO tune.py:1007 -- Wrote the latest version of all result files and experiment state to '/home/sarah/GitHub/ClimaNet/notebooks/tune_daily/sst_01' in 0.0069s.\n",
-      "2026-08-07 15:16:27,668\tINFO tune.py:1039 -- Total run time: 71.26 seconds (71.20 seconds for the tuning loop).\n"
+      "2026-09-02 11:05:13,515\tWARNING experiment_state.py:209 -- Experiment state snapshotting has been triggered multiple times in the last 5.0 seconds and may become a bottleneck. A snapshot is forced if `CheckpointConfig(num_to_keep)` is set, and a trial has checkpointed >= `num_to_keep` times since the last snapshot.\n",
+      "You may want to consider increasing the `CheckpointConfig(num_to_keep)` or decreasing the frequency of saving checkpoints.\n",
+      "You can suppress this warning by setting the environment variable TUNE_WARN_EXCESSIVE_EXPERIMENT_CHECKPOINT_SYNC_THRESHOLD_S to a smaller value than the current threshold (5.0). Set it to 0 to completely suppress this warning.\n",
+      "2026-09-02 11:05:37,087\tINFO tune.py:1007 -- Wrote the latest version of all result files and experiment state to '/home/sarah/GitHub/ClimaNet/notebooks/tune_daily/sst_01' in 0.0027s.\n",
+      "2026-09-02 11:05:37,091\tINFO tune.py:1039 -- Total run time: 34.31 seconds (34.28 seconds for the tuning loop).\n"
      ]
     }
    ],
@@ -301,10 +314,10 @@
      "data": {
       "text/plain": [
        "Result(\n",
-       "  metrics={'loss': 0.15448503834860666},\n",
-       "  path='/home/sarah/GitHub/ClimaNet/notebooks/tune_daily/sst_01/_train_0804a_00001_1_patch_size=4_2026-08-07_15-15-37',\n",
+       "  metrics={'loss': 0.5523778796195984},\n",
+       "  path='/home/sarah/GitHub/ClimaNet/notebooks/tune_daily/sst_01/_train_61ef2_00000_0_patch_size=2_2026-09-02_11-05-02',\n",
        "  filesystem='local',\n",
-       "  checkpoint=Checkpoint(filesystem=local, path=/home/sarah/GitHub/ClimaNet/notebooks/tune_daily/sst_01/_train_0804a_00001_1_patch_size=4_2026-08-07_15-15-37/checkpoint_000000)\n",
+       "  checkpoint=Checkpoint(filesystem=local, path=/home/sarah/GitHub/ClimaNet/notebooks/tune_daily/sst_01/_train_61ef2_00000_0_patch_size=2_2026-09-02_11-05-02/checkpoint_000000)\n",
        ")"
       ]
      },
@@ -335,7 +348,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "2026-08-07 15:17:20,411\tINFO worker.py:2024 -- Started a local Ray instance.\n"
+      "2026-09-02 11:12:38,416\tINFO worker.py:2024 -- Started a local Ray instance.\n"
      ]
     }
    ],
@@ -351,6 +364,33 @@
     "model_path = Path(best_checkpoint.path) / \"checkpoint.pt\""
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "a14d5452-4c32-4bff-87ec-d502b079610b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'patch_size': 2,\n",
+       " 'embed_dim': 32,\n",
+       " 'dropout': 0.0,\n",
+       " 'hidden': 32,\n",
+       " 'optimizer_lr': 0.1,\n",
+       " 'batch_config': {'batch_size': 10, 'accumulation_steps': 1}}"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "best_hyperparameters = best_result.config\n",
+    "best_hyperparameters"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 10,
@@ -378,7 +418,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 19,
    "id": "8226ca69-b756-4ad2-9007-4f18e4de9ab5",
    "metadata": {},
    "outputs": [
@@ -387,17 +427,16 @@
      "output_type": "stream",
      "text": [
       "Creating dataset:\n",
-      "Patch grid (m x i x j): 1 x 16 x 46 = 736 patches\n",
-      "Overlap: 32 pixels (height), 32 pixels (width)\n",
-      "736\n"
+      "Crop grid (m x i x j): 1 x 2 x 2 = 4 data crops\n",
+      "Overlap: 0 pixels (height), 0 pixels (width)\n",
+      "4\n"
      ]
     }
    ],
    "source": [
     "num_patches = (10, 10)\n",
-    "patch_size = (1, 4, 4)\n",
+    "patch_size = (1, best_hyperparameters[\"patch_size\"], best_hyperparameters[\"patch_size\"])\n",
     "spatial_patch_size = (patch_size[1]*num_patches[0], patch_size[2]*num_patches[1])\n",
-    "stride = (spatial_patch_size[0] // 5, spatial_patch_size[1] // 5)\n",
     "\n",
     "dataset_test = STDataset(\n",
     "    input_da=input_da,\n",
@@ -406,8 +445,9 @@
     "    padded_days_mask=padded_days_mask,\n",
     "    time_features=time_features,\n",
     "    land_mask=lsm_subset[\"lsm\"],\n",
-    "    patch_size=(1, *spatial_patch_size),  # based on the patch_size in model\n",
-    "    stride=stride,\n",
+    "    crop_size=(1, *spatial_patch_size),  # based on the patch_size in model\n",
+    "    model_patch_size=patch_size,\n",
+    "    stride=None,\n",
     "    sh_embed_dim=96,\n",
     "    sh_order_L = 10,\n",
     "    verbose=True,\n",
@@ -418,7 +458,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 20,
    "id": "2271bf2c-bdbe-4a28-99b6-3d63303ee413",
    "metadata": {},
    "outputs": [
@@ -428,7 +468,7 @@
        "DataLoaderConfig(batch_size=10, shuffle=True, num_workers=0, pin_memory=False, persistent_workers=False, device='cpu', multiprocessing_context=None)"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -449,7 +489,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 21,
    "id": "27c59045-0a30-4809-9456-0ca079e5c51d",
    "metadata": {},
    "outputs": [],
@@ -467,17 +507,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 22,
    "id": "4148e1be-b6fb-4519-9531-3fb9e1c2ba05",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.15355809959205421"
+       "0.5405163764953613"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -496,7 +536,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e0bbe5b5-c7d6-48ff-a616-c226591d460c",
+   "id": "8080ab39-3d55-4bf9-afc2-ccbf89db529e",
    "metadata": {},
    "outputs": [],
    "source": []

From 45ccda306b2a9f644abb4f2a7e16057e3d4aea1a Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Mon, 7 Sep 2026 16:27:54 +0200
Subject: [PATCH 23/38] re-structure training

---
 notebooks/{ => sst}/data_vis_sst.ipynb                            | 0
 .../{example_daily_sst.ipynb => sst/training_daily_sst.ipynb}     | 0
 .../{example_hourly_sst.ipynb => sst/training_hourly_sst.ipynb}   | 0
 notebooks/{example_tuning.ipynb => sst/tuning_sst.ipynb}          | 0
 notebooks/{ => watervapor}/data_vis_watervapor.ipynb              | 0
 .../training_watervapo.ipynb}                                     | 0
 6 files changed, 0 insertions(+), 0 deletions(-)
 rename notebooks/{ => sst}/data_vis_sst.ipynb (100%)
 rename notebooks/{example_daily_sst.ipynb => sst/training_daily_sst.ipynb} (100%)
 rename notebooks/{example_hourly_sst.ipynb => sst/training_hourly_sst.ipynb} (100%)
 rename notebooks/{example_tuning.ipynb => sst/tuning_sst.ipynb} (100%)
 rename notebooks/{ => watervapor}/data_vis_watervapor.ipynb (100%)
 rename notebooks/{example_hourly_watervapor.ipynb => watervapor/training_watervapo.ipynb} (100%)

diff --git a/notebooks/data_vis_sst.ipynb b/notebooks/sst/data_vis_sst.ipynb
similarity index 100%
rename from notebooks/data_vis_sst.ipynb
rename to notebooks/sst/data_vis_sst.ipynb
diff --git a/notebooks/example_daily_sst.ipynb b/notebooks/sst/training_daily_sst.ipynb
similarity index 100%
rename from notebooks/example_daily_sst.ipynb
rename to notebooks/sst/training_daily_sst.ipynb
diff --git a/notebooks/example_hourly_sst.ipynb b/notebooks/sst/training_hourly_sst.ipynb
similarity index 100%
rename from notebooks/example_hourly_sst.ipynb
rename to notebooks/sst/training_hourly_sst.ipynb
diff --git a/notebooks/example_tuning.ipynb b/notebooks/sst/tuning_sst.ipynb
similarity index 100%
rename from notebooks/example_tuning.ipynb
rename to notebooks/sst/tuning_sst.ipynb
diff --git a/notebooks/data_vis_watervapor.ipynb b/notebooks/watervapor/data_vis_watervapor.ipynb
similarity index 100%
rename from notebooks/data_vis_watervapor.ipynb
rename to notebooks/watervapor/data_vis_watervapor.ipynb
diff --git a/notebooks/example_hourly_watervapor.ipynb b/notebooks/watervapor/training_watervapo.ipynb
similarity index 100%
rename from notebooks/example_hourly_watervapor.ipynb
rename to notebooks/watervapor/training_watervapo.ipynb

From 6ffc51f20c1810df9376c149b5a5e49381eae639 Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Mon, 7 Sep 2026 16:34:27 +0200
Subject: [PATCH 24/38] rename_notebook

---
 ...{training_watervapo.ipynb => training_hourly_watervapor.ipynb} | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename notebooks/watervapor/{training_watervapo.ipynb => training_hourly_watervapor.ipynb} (100%)

diff --git a/notebooks/watervapor/training_watervapo.ipynb b/notebooks/watervapor/training_hourly_watervapor.ipynb
similarity index 100%
rename from notebooks/watervapor/training_watervapo.ipynb
rename to notebooks/watervapor/training_hourly_watervapor.ipynb

From 689c94b32da419d9e6921558ae4fb9b34295dbd2 Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Mon, 7 Sep 2026 17:38:14 +0200
Subject: [PATCH 25/38] add example notebook for daily watervapor data

---
 .../training_daily_watervapor.ipynb           | 762 ++++++++++++++++++
 1 file changed, 762 insertions(+)
 create mode 100644 notebooks/watervapor/training_daily_watervapor.ipynb

diff --git a/notebooks/watervapor/training_daily_watervapor.ipynb b/notebooks/watervapor/training_daily_watervapor.ipynb
new file mode 100644
index 0000000..9420503
--- /dev/null
+++ b/notebooks/watervapor/training_daily_watervapor.ipynb
@@ -0,0 +1,762 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "f8fe27a3-710c-47b0-95c7-00d764eec025",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "import xarray as xr\n",
+    "import torch\n",
+    "import torch.nn.functional\n",
+    "from climanet.st_encoder_decoder import SpatioTemporalModel\n",
+    "from climanet.utils import set_seed, configure_compute_resources, plot_results, plot_histograms, plot_loss, data_preparation, read_st_data\n",
+    "from climanet.train import train_monthly_model, TrainConfig\n",
+    "from climanet.predict import predict_monthly_var, PredictionConfig\n",
+    "from climanet.dataset import STDataset, DataLoaderConfig\n",
+    "\n",
+    "from tbparse import SummaryReader\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d0f5c8e2-693b-4f6e-8e88-e3c002001b24",
+   "metadata": {},
+   "source": [
+    "## Read data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "abf5a034-02ee-497f-85d0-33b4e99f43a6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# without diurnal cycle\n",
+    "data_folder = Path(\"../eso4clima/watervapor\")\n",
+    "run_dir = Path(\"./runs_daily\").resolve()\n",
+    "\n",
+    "var_name = \"prw\"\n",
+    "\n",
+    "# 1 month train, 1 month validation and test\n",
+    "daily_data = xr.open_mfdataset(data_folder / f\"202001_day_ERA5_masked_{var_name}.nc\")\n",
+    "daily_data_validation = xr.open_mfdataset(data_folder / f\"202101_day_ERA5_masked_{var_name}.nc\")\n",
+    "daily_data_test = xr.open_mfdataset(data_folder / f\"202201_day_ERA5_masked_{var_name}.nc\")\n",
+    "\n",
+    "monthly_data = xr.open_mfdataset(data_folder / f\"202001_mon_ERA5_full_{var_name}.nc\")\n",
+    "monthly_data_validation = xr.open_mfdataset(data_folder / f\"202101_mon_ERA5_full_{var_name}.nc\")\n",
+    "monthly_data_test = xr.open_mfdataset(data_folder / f\"202201_mon_ERA5_full_{var_name}.nc\")\n",
+    "\n",
+    "file_name = data_folder / \"era5_lsm_bool_05.nc\"  # downloded from era5 and regridded using the function `regrid_to_boundary_centered_grid`\n",
+    "lsm_mask = xr.open_dataset(file_name)\n",
+    "# lsm_mask = lsm_mask.rename({'latitude': 'lat', 'longitude': 'lon'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "9d62c368",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# sort in lat dimension to make it ascending\n",
+    "daily_data = daily_data.sortby(\"lat\")\n",
+    "daily_data_validation = daily_data_validation.sortby(\"lat\")\n",
+    "daily_data_test = daily_data_test.sortby(\"lat\")\n",
+    "\n",
+    "monthly_data = monthly_data.sortby(\"lat\")\n",
+    "monthly_data_validation = monthly_data_validation.sortby(\"lat\")\n",
+    "monthly_data_test = monthly_data_test.sortby(\"lat\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b4be672b-a2c1-4a6f-89a1-2c22cc6cde02",
+   "metadata": {},
+   "source": [
+    "## Subset data (for fast example)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "f2fda038-7201-42cd-b81b-83825f6338ee",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(31, 40, 40) (1, 40, 40)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# coordinates of subset\n",
+    "lon_subset = slice(-10, 10)  # one lon -179.9 is nan, check data\n",
+    "lat_subset = slice(-10, 10)\n",
+    "\n",
+    "daily_subset = daily_data.sel(lon=lon_subset, lat=lat_subset)\n",
+    "monthly_subset = monthly_data.sel(lon=lon_subset, lat=lat_subset)\n",
+    "lsm_subset = lsm_mask.sel(lon=lon_subset, lat=lat_subset)  # True=Land\n",
+    "\n",
+    "daily_validation_subset = daily_data_validation.sel(lon=lon_subset, lat=lat_subset)\n",
+    "monthly_validation_subset = monthly_data_validation.sel(lon=lon_subset, lat=lat_subset)\n",
+    "\n",
+    "daily_test_subset = daily_data_test.sel(lon=lon_subset, lat=lat_subset)\n",
+    "monthly_test_subset = monthly_data_test.sel(lon=lon_subset, lat=lat_subset)\n",
+    "\n",
+    "print(daily_subset[var_name].shape, monthly_subset[var_name].shape)  # (time, lat, lon)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2d5a6d46-1423-4313-b7d2-1eb939e2c876",
+   "metadata": {},
+   "source": [
+    "## Training workflow"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8b69667c-18f9-4f2b-b7ff-0f737a6e1543",
+   "metadata": {},
+   "source": [
+    "### Build the model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "5839cfb3-a79c-4b0b-b40b-9734233e0b57",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create the model (small)\n",
+    "set_seed()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "1ceb7756-f274-4823-bded-87c0f8f16a79",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "patch_size = (1, 4, 4)\n",
+    "model = SpatioTemporalModel(patch_size=patch_size, embed_dim=64, dropout=0.1, hidden=64)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "5840197d-3a4f-4942-ac42-f56e0fdaed0f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Device and resources\n",
+    "device = \"cpu\"\n",
+    "compute_threads = 4\n",
+    "dataloader_num_workers = 0\n",
+    "model = configure_compute_resources(model, device=device, compute_threads=compute_threads, dataloader_num_workers=dataloader_num_workers)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "069ae003-6ba6-4f06-b156-1e0e1536acc9",
+   "metadata": {},
+   "source": [
+    "### Build the datasets"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b9e6325a-de1f-4352-9183-caf57ee6185a",
+   "metadata": {},
+   "source": [
+    "#### Prepare the train data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "de9eb760-a412-4c63-b3f6-0d764e7ae0ef",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# this should be done once\n",
+    "data_dir = Path(f\"{run_dir}/data_train\")\n",
+    "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = data_preparation(\n",
+    "    daily_subset[var_name], monthly_subset[var_name], calculate_residuals=True, is_hourly=False, save_to_zarr=True, run_dir=data_dir,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "ca9b6c44-1f4a-4ff2-b15e-7b330bbc501e",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# read data \n",
+    "data_dir = f\"{run_dir}/data_train\"\n",
+    "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = read_st_data(data_path=data_dir, var_name=var_name)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "98604568-a2c7-47c3-a5f8-9ead2bfb717a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Creating dataset:\n",
+      "Crop grid (m x i x j): 1 x 1 x 1 = 1 data crops\n",
+      "Overlap: 32 pixels (height), 32 pixels (width)\n",
+      "1\n"
+     ]
+    }
+   ],
+   "source": [
+    "# create dataset config\n",
+    "num_subsets = (10, 10)\n",
+    "spatial_crop_size = (patch_size[1]*num_subsets[0], patch_size[2]*num_subsets[1])\n",
+    "stride = (spatial_crop_size[0] // 5, spatial_crop_size[1] // 5)  # for data agumentation\n",
+    "\n",
+    "dataset_train = STDataset(\n",
+    "    input_da=input_da,\n",
+    "    input_da_nan_mask=input_da_nan_mask,\n",
+    "    monthly_da=monthly_da,\n",
+    "    padded_days_mask=padded_days_mask,\n",
+    "    time_features=time_features,\n",
+    "    land_mask=lsm_subset[\"lsm\"],\n",
+    "    model_patch_size=patch_size,\n",
+    "    crop_size=(1, *spatial_crop_size),   # based on the patch_size in model\n",
+    "    stride=stride,\n",
+    "    sh_embed_dim=96,\n",
+    "    sh_order_L = 10,\n",
+    "    verbose=True,\n",
+    "    load_lazy=False,   # set it to true when data is large\n",
+    ")\n",
+    "print(len(dataset_train))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4243ef72-8295-4689-bef9-1ecf0ec6deb1",
+   "metadata": {},
+   "source": [
+    "#### Prepare validation data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "ab17c513-095a-420c-8193-c2d81c280082",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# this should be done once\n",
+    "data_dir = f\"{run_dir}/data_validation\"\n",
+    "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = data_preparation(\n",
+    "    daily_validation_subset[var_name], monthly_validation_subset[var_name], calculate_residuals=True, is_hourly=False, save_to_zarr=True, run_dir=data_dir,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "d02dace1-c194-49bd-a283-94f7a04e666b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# read data \n",
+    "data_dir = f\"{run_dir}/data_validation\"\n",
+    "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = read_st_data(data_path=data_dir, var_name=var_name)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "b85070a2-69f7-496c-8696-8f22802e4b8d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Creating dataset:\n",
+      "Crop grid (m x i x j): 1 x 1 x 1 = 1 data crops\n",
+      "Overlap: 32 pixels (height), 32 pixels (width)\n",
+      "1\n"
+     ]
+    }
+   ],
+   "source": [
+    "num_subsets = (10, 10)\n",
+    "spatial_crop_size = (patch_size[1]*num_subsets[0], patch_size[2]*num_subsets[1])\n",
+    "stride = (spatial_crop_size[0] // 5, spatial_crop_size[1] // 5)  # for data agumentation\n",
+    "\n",
+    "dataset_validation = STDataset(\n",
+    "    input_da=input_da,\n",
+    "    input_da_nan_mask=input_da_nan_mask,\n",
+    "    monthly_da=monthly_da,\n",
+    "    padded_days_mask=padded_days_mask,\n",
+    "    time_features=time_features,\n",
+    "    land_mask=lsm_subset[\"lsm\"],\n",
+    "    model_patch_size=patch_size,\n",
+    "    crop_size=(1, *spatial_crop_size),   # based on the patch_size in model\n",
+    "    stride=stride,\n",
+    "    sh_embed_dim=96,\n",
+    "    sh_order_L = 10,\n",
+    "    verbose=True,\n",
+    "    load_lazy=False,  # set it to true when data is large\n",
+    ")\n",
+    "print(len(dataset_validation))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "5452ea81-86c2-49c4-81cd-43b6395c754d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "DataLoaderConfig(batch_size=10, shuffle=True, num_workers=0, pin_memory=False, persistent_workers=False, device='cpu', multiprocessing_context=None)"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# create dataloader config\n",
+    "dataloader_config = DataLoaderConfig(\n",
+    "    batch_size=10,\n",
+    "    shuffle=True,\n",
+    "    num_workers= dataloader_num_workers,\n",
+    "    pin_memory=False,\n",
+    "    persistent_workers=False,  # set it to true when num_workers >0 and lazy data\n",
+    "    device=device,\n",
+    "    multiprocessing_context=None, # set it to \"spawn\" when num_workers >0 and lazy data\n",
+    ")\n",
+    "dataloader_config"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "acccd5d8-b4fe-489f-9f3e-0b90b6114334",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "TrainConfig(calculate_residuals=True, num_epoch=100, patience=10, accumulation_steps=2, optimizer_lr=0.001, optimizer_weight_decay=0.01, scheduler_lr_factor=0.1, scheduler_min_lr=1e-05, device='cpu', verbose=True, verbose_epoch_interval=20, tune_checkpoint=False, store_model=True, store_logs=True)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# create training config\n",
+    "training_config = TrainConfig(\n",
+    "    calculate_residuals=True,\n",
+    "    num_epoch=100,\n",
+    "    patience=10,\n",
+    "    accumulation_steps=2,\n",
+    "    optimizer_lr=1e-3,\n",
+    "    device=device,\n",
+    "    verbose=True,\n",
+    "    verbose_epoch_interval=20,\n",
+    "    tune_checkpoint=False,\n",
+    "    store_model=True,\n",
+    ")\n",
+    "training_config"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "945ec311-53b3-4cac-a1e3-d16f4508e7a7",
+   "metadata": {},
+   "source": [
+    "### Start training loop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "cd442780",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(1, 4, 4)"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataset_train.model_patch_size"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "b9742e67-165f-4b5a-bab0-27b8b0d7070d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 0: gap between train and val loss: 0.044098\n",
+      "Epoch 0: best_loss = 0.298102\n",
+      "Epoch 20: gap between train and val loss: -0.008917\n",
+      "Epoch 20: best_loss = 0.092625\n",
+      "Epoch 40: gap between train and val loss: -0.013420\n",
+      "Epoch 40: best_loss = 0.079654\n",
+      "Early stopping triggered at epoch 47. Best loss: 0.079654\n",
+      "Training complete. Best loss: 0.079654\n",
+      "Model saved to /home/oku/Developments/ESO4Clima/ClimaNet/notebooks/watervapor/runs_daily/best_model.pth\n",
+      "CPU times: user 20.6 s, sys: 409 ms, total: 21 s\n",
+      "Wall time: 8.33 s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "# verbose is True\n",
+    "trained_model = train_monthly_model(\n",
+    "    model=model,\n",
+    "    dataset_train=dataset_train,\n",
+    "    dataloader_config=dataloader_config,\n",
+    "    training_config=training_config,\n",
+    "    dataset_validation=dataset_validation,  # here validation dataset is used to improve model generalization\n",
+    "    run_dir=run_dir,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e27a96aa-5560-47b6-91eb-dc4530dca090",
+   "metadata": {},
+   "source": [
+    "## Inspect results and compare"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "a2b81805",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_loss(run_dir, list_loss_var=[\"Loss/train\", \"Loss/validation\"], unit=\"K\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4440c610-ac0f-4f91-a21c-5a9ebd284cee",
+   "metadata": {},
+   "source": [
+    "#### Prepare the test data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "8e92bb78-8822-4b6b-8423-8e9dd3c04c74",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# this hsould be done once\n",
+    "data_dir = f\"{run_dir}/data_test\"\n",
+    "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = data_preparation(\n",
+    "    daily_test_subset[var_name], monthly_test_subset[var_name], calculate_residuals=True, is_hourly=False, save_to_zarr=True, run_dir=data_dir,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "4c30511a-49fc-4a4d-8bfc-61ec3857fde0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# read data \n",
+    "data_dir = f\"{run_dir}/data_test\"\n",
+    "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = read_st_data(data_path=data_dir, var_name=var_name)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "ac99fdf5-dfd8-44a0-957b-dea177ac92a1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Creating dataset:\n",
+      "Crop grid (m x i x j): 1 x 1 x 1 = 1 data crops\n",
+      "Overlap: 0 pixels (height), 0 pixels (width)\n",
+      "1\n"
+     ]
+    }
+   ],
+   "source": [
+    "spatial_patch_size = monthly_da.shape[1:]  # the whole dataset \n",
+    "\n",
+    "dataset_test = STDataset(\n",
+    "    input_da=input_da,\n",
+    "    input_da_nan_mask=input_da_nan_mask,\n",
+    "    monthly_da=monthly_da,\n",
+    "    padded_days_mask=padded_days_mask,\n",
+    "    time_features=time_features,\n",
+    "    land_mask=lsm_subset[\"lsm\"],\n",
+    "    model_patch_size=patch_size,\n",
+    "    crop_size=(1, *spatial_crop_size), \n",
+    "    stride=None,  # no stride in inference\n",
+    "    sh_embed_dim=96,\n",
+    "    sh_order_L = 10,\n",
+    "    verbose=True,\n",
+    "    load_lazy=False,\n",
+    ")\n",
+    "print(len(dataset_test))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "c3dadb35-a6a8-413c-869b-1fa90adfec7b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "DataLoaderConfig(batch_size=10, shuffle=False, num_workers=0, pin_memory=False, persistent_workers=False, device='cpu', multiprocessing_context=None)"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# create dataloader config\n",
+    "dataloader_config = DataLoaderConfig(\n",
+    "    batch_size=10,\n",
+    "    shuffle=False,  # no shuffling in inference\n",
+    "    num_workers=0,\n",
+    "    pin_memory=False,\n",
+    "    persistent_workers=False,\n",
+    "    device=device,\n",
+    "    multiprocessing_context=None, # keep this when num_workers >0 and lazy data\n",
+    ")\n",
+    "dataloader_config"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "dc9bffb1-5db9-46d0-bd0a-987772321451",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create prediction config\n",
+    "prediction_config = PredictionConfig(\n",
+    "    calculate_residuals=True,\n",
+    "    return_numpy=True,\n",
+    "    save_predictions=True,\n",
+    "    return_loss=False,\n",
+    "    device=device,\n",
+    "    verbose=True,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "7c2deb40-bee8-4973-80f0-9d9485eabf0c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Processed batch 1/1, with loss: 0.0850\n",
+      "Average loss over all batches: 0.0850\n"
+     ]
+    }
+   ],
+   "source": [
+    "# inference on test data, verbose is True\n",
+    "predictions = predict_monthly_var(\n",
+    "    model=f\"{run_dir}/best_model.pth\",\n",
+    "    dataset=dataset_test,  \n",
+    "    dataloader_config=dataloader_config,\n",
+    "    prediction_config=prediction_config,\n",
+    "    run_dir=run_dir,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "370bf4d4-0f97-418e-ada3-9e958248d386",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "predictions_res = xr.open_dataset(f\"{run_dir}/202201_{var_name}_prediction_residual.nc\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "76a795e8-b77c-4fb3-8c55-43d9996e2c5d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# add to monthly average\n",
+    "input_data_averaged = daily_test_subset.resample({\"time\": \"MS\"}).mean(skipna=True)\n",
+    "input_data_averaged[\"time\"] = monthly_test_subset[\"time\"]\n",
+    "predictions = input_data_averaged[var_name] + predictions_res[var_name]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "14789287-c63f-49ad-bb45-e5fe4a7f039f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ocean = ~lsm_subset[\"lsm\"].values\n",
+    "masked_target = monthly_test_subset[var_name].where(ocean)\n",
+    "masked_pred = predictions.where(ocean)\n",
+    "plot_results(masked_target, masked_pred, label=\"SST K\", title=(\"Target\", \"Prediction\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "7ba5d204-aefc-4103-8475-c802c603ad3f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "err_baseline = (monthly_test_subset[var_name] - input_data_averaged[var_name])   # M - mean(D)\n",
+    "err_predictions = (monthly_test_subset[var_name] - predictions)  # M - M_hat\n",
+    "\n",
+    "ocean = ~lsm_subset[\"lsm\"].values\n",
+    "masked_err_baseline = err_baseline.where(ocean)\n",
+    "masked_err_predictions = err_predictions.where(ocean) \n",
+    "\n",
+    "plot_results(masked_err_baseline, masked_err_predictions, label=\"error K\", title=(\"err_Baseline\", \"err_Prediction\"), error=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "a7420dc7-fe1b-4f34-a62e-5914091f04b7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_histograms(masked_err_baseline, masked_err_predictions, label=\"error K\", legend_labels=(\"err_Baseline\", \"err_Prediction\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ac292857-aa28-4c23-95a1-ee5ae188499c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "ClimaNet (3.13.9.final.0)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From 0b28ed6b52d4e5ea9a38baf43c998f1fe57b6dee Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Tue, 8 Sep 2026 11:28:34 +0200
Subject: [PATCH 26/38] update unit name

---
 .../training_daily_watervapor.ipynb           | 30 +++++++------------
 1 file changed, 11 insertions(+), 19 deletions(-)

diff --git a/notebooks/watervapor/training_daily_watervapor.ipynb b/notebooks/watervapor/training_daily_watervapor.ipynb
index 9420503..69fc294 100644
--- a/notebooks/watervapor/training_daily_watervapor.ipynb
+++ b/notebooks/watervapor/training_daily_watervapor.ipynb
@@ -439,8 +439,8 @@
       "Early stopping triggered at epoch 47. Best loss: 0.079654\n",
       "Training complete. Best loss: 0.079654\n",
       "Model saved to /home/oku/Developments/ESO4Clima/ClimaNet/notebooks/watervapor/runs_daily/best_model.pth\n",
-      "CPU times: user 20.6 s, sys: 409 ms, total: 21 s\n",
-      "Wall time: 8.33 s\n"
+      "CPU times: user 24.6 s, sys: 1.28 s, total: 25.9 s\n",
+      "Wall time: 10.3 s\n"
      ]
     }
    ],
@@ -473,7 +473,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -483,7 +483,7 @@
     }
    ],
    "source": [
-    "plot_loss(run_dir, list_loss_var=[\"Loss/train\", \"Loss/validation\"], unit=\"K\")"
+    "plot_loss(run_dir, list_loss_var=[\"Loss/train\", \"Loss/validation\"], unit=\"kg/m2\")"
    ]
   },
   {
@@ -664,7 +664,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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0lxMQva1iY2ONlxfFxMTgxIkTKFasGDZt2mQcUg28Gsn0+l1UVCoV1q1bhzZt2qQbOt+vXz8sWrQI+/fvR4sWLbBjxw706tULQUFBxjr+/v7o0KGD6G09NRoNNmzYgI8++ijdjPmenp4mo7ekSk1NxbZt29CxY0cULlzYuNzDwwODBw/Gp59+ijNnzqBWrVoAAEEQ0K9fP5MYjRs3xsaNGxEVFYV33nnH5hwEQUCfPn2MfysUCtSpUwerVq3Cxo0bTerWrVvXZGZ4R+UvNU61atWwZcsWSTHTcjTn4MGDmDhxIt599118/vnnJmUajcbuNshaXKl1L1++jKlTp5rU/eabb/DOO+9kKDdLrG3PFsnJyXj+/DnGjh2L2bNnAwB69+6NwMBATJ8+He3atUOzZs1szo/IWbATT7JYuHAhhg8fjo8//hh169aFv78/lEolLly4gPj4eJO6SqUSRYoUMVl29+5dADB7EH/nnXfw9OlT499pw6VXr16N3377zfhjAfBqplK1Wo2nT5+avS7dXuauY86TJ4/F5U+ePDH+nfbczA1/LlmyJI4cOWLyo4O5fRAUFGRzJ15qnGrVqhmHxtlr2rRpWLBgAXr06IGvv/7apCxtGF5ap/R1SUlJAGDxtoTW4tpS99y5cyZfHENDQzOcmzWWtmeLtO2WKlXK2IEHXv3g0LVrV0yYMAFnzpwx+RGJ6G3m6elpvLzI3d0dCxYsMHt7uWLFipn8HR0djaSkJFy9ehWdO3c2tieCIBg7Kffv38fDhw+h0WjSrQ8AxYsXF80vOjoaycnJJpczZVRaTpbaFwC4c+eOsYOpUCjStb9pP0g8fvzYrk68QqFId4zLkycPgPRtZ548efD8+XMYDAYolUqH5S81Tv78+Y0/DNnr9OnTaNu2LUJDQ7F79+50P7x6e3vb1QaJxZVa98mTJ+luuTdu3Di88847dudmjbXt2SJt2927dzdZ3rNnT0yfPh27d+9mJ55yNHbiKcO0Wi2++OILdOnSBevXrzcpGzFiRLr6np6e6X7ZTbu++c1begHpO1hpnd0mTZpY7By9PpmeHMxdf61QKCwuf/22NtaeW1JSElQqlcn+kBIzIzm/Gceea+JfN2fOHEyePBldunTB6tWrTc54Af/78eLNeQ1eX2buC7BYXFvqDhw4EI0bNzb+nTYHgb25ibG0PVu88847UKlUxi/Dr0tbFhsba3NcopzK3d1dUofrzY5HWptStmxZs+v36NED7777rvGYaq5TY26ZufyA/3WA5CDWvry+XeDVj+hvtr9px0t7b8dmLeab7dDr23p9fpWszl9qHHuviU9z/vx5NGvWDIGBgTh48KDZkwslSpQw/tj/urQ2yNwPHFLiSq377rvvphttkPZDlT25ibG2PVuULFnSOGHl69g+0tuCnXjKsPj4eCQkJKQb6nz9+nU8fPhQUicobRbbs2fPoly5csblycnJ+PfffxEcHGxclvaLvK+vr+gXNhcXF4fdJzZN5cqVAbyaIOb1M94GgwERERGoWLGi1Q6qJXI9tzNnzqT7VdyStC9eaRYuXIjPPvsMnTt3xrp168wOt8+XLx/KlSuHw4cPpys7dOgQatSokW4CHilxbalbuXJl4+uQ0dyksLQ9W3h6eqJu3bq4du0a9Hq9yfNKG41izxcfIjJVqFAhhISEID4+3mqbIggCgoKCEBERka7szJkzotspWLAgQkJCjJO5WpLWuZRyfC9YsCDy5s2LU6dOpStLW5bRY1Fmyqz8bdmH1jx69Ehy+/jme+fKlSto0qQJcufOjUOHDplcLvC6Ro0aYerUqbh165bJMf3gwYNQKBQmPwjbEldq3bx581p839uamxTWtmeLZs2aYceOHbh+/ToKFChgXM72kd4WSvEqRNblyZMHISEh+OOPP6DVagG8moF3zJgxkoe0161bF++++y5mzJiBx48fG5dPnTo13Vn1mjVromXLlpg4caLJtefAq+GKq1evNv4dEhJi9iwr8Oq2eB06dMDJkycl5WivOnXqoGrVqpg9ezbu3LljXP7tt9/ixo0bGDVqlF1xrT03WwwdOhRbtmyR9Hi9I7lq1SoMHz4cnTt3xvr16612tD///HNcuHDB5PrItWvXIjIyEuPHjzepa0tcW+rKkVtW++KLL/D06VPMnTvXuOzff//FypUr0bBhQ5QtW9aB2RHlHFOnTsVff/2FhQsXGofTA6+u2V65ciViYmKgUCgwdOhQ7N69G3v27DHWOXDgQLq5XyyZNGkSTp06hdmzZ5ts58CBA8bjedrdMKQc3xUKBYYPH47Dhw9j06ZNxuXnz5/H0qVL0bZtW7tujZk2v4DYdf4ZlVn527IPrUm7Jl7K4/U5aP777z80btwYPj4+OHz4sNVLqgYNGgRfX1+MHz/e+KPDvXv3sGTJEnTp0sWk421LXFvqypFbVuvZsydCQkIwdepU40iYlJQUfPnll/D29jZ7a1ainIRn4kkWq1evRnh4OEqWLIlSpUrh+vXr+Oabb/Ds2TNJ6yuVSvz2229o06YNypQpg+rVq+Phw4cYOHAgypYtiwcPHpjU37x5M4YPH45atWqhfPnyyJ8/P+7fv4+UlBSMGzfOWO/TTz/Fhx9+iGrVqqFIkSIm91L/77//sHXrVvTo0UO+HWGGQqHAtm3b0LlzZ7z77ruoUaMGnjx5gtu3b2P27Nno2rWrXXGtPTdb2HNN/J07dzBgwAAolUqo1WqEh4eblNeoUQNjx441/t29e3fcvXsXvXr1wtKlS2EwGHDmzBl8++23aNu2rV1xbc3BEqm5Aa/OtqVNoJM2t0D//v3h7u6OwoUL47vvvhPdni0xGjVqhBUrVmDEiBH4+eefkSdPHpw8eRJhYWHYsGGD6LaISJrevXtDp9NhwoQJmDt3LsqUKYPY2FjcvXsXH3zwgfE4PWHCBNy5cwcffPABqlevDoVCgcDAQIwYMcLi/eJf169fPyQlJWHSpElYunQpSpcujTt37iA0NNT4me7QoQO++uorNGzYEFWrVoWLi4vZe5yn+fzzz/H8+XP06NEDc+bMgZeXF06dOoVmzZphzZo1du2P5ORkbN26Fbly5bJrfVtkRv627kNL7L0mvmvXrnjy5Alq1qxp9tZ9r1+ali9fPuzcuRMff/wxypQpg+LFi+Off/5B3bp1sXTpUrvj2lLXEltyA4Dw8HDo9Xrjd79Vq1YZR7otWLAABQsWtLo9W2J4eXlh9+7d6NSpE4oXL453330XV65cgVKpxK5duxxya1iirKQQXv8pmEgCQRCwdetWBAcHm8zGGh8fj7Nnz0Kn0xmHIR86dAhKpRL16tUD8KrTcvfu3XSdozR6vR6nT59GTEwMKleujIIFC6JKlSrw9fU1O+Q5JiYG58+fh1qtRtGiRVGqVKl0Z2OfPn2Kc+fOISkpCT4+PmjatCmAV7/iHjp0CDdu3DC55u5Ne/bsQUBAgPFetWn27t2L3Llzp5uR9q+//oKPj4/Ze6deu3YNt27dQq5cuVCtWrV0Q7UtbSsiIgKPHz9ON4u8pedmaxxbxcfHm8y+/qZChQqZff7Pnz9HREQEFAoFqlevjoCAALvj2puDJWK5Aa8mkTp+/LjZ9f38/NCkSRPR7dgTIzExEadPn0ZSUhJKlSplnPCJiF45fPgwEhMTrR7b4uLisG/fPtSqVcvkEq3XaTQanD9/Hk+ePEH+/PlRpkwZs5N33bx5E5GRkQgODkblypVx7949nDlzBs2aNTPW//fff3HlyhW0a9cuXWcpOTkZERERSEhIQOnSpdMN/U1NTcXp06fx7NkzGAwGNG3aFL6+vlZjPnv2DOfOnYNOp0PZsmXTncG+fPkybty4gXbt2pksf/z4MY4ePYoGDRoYryfeuXMn2rRpg7///ht169a1uE8txbxy5Qr+/fffdB3gq1evIjIyEu3bt093GZmc+Vvbh7bGscdff/2VblLf15l7/lqtFidPnkRsbKzxhEhG4tqTgyVScgOA3377zeIlDK9/NqyxNYYgCDh79iwePnyIoKAgVKtWTda7ExFlV+zEU7YWGxuL4OBg9O/fH/PmzZM1dnBwMKZOnYq+ffvKGpeIiMiZjRgxAtevXze5bICIiLIPDqenbOPcuXPw9vY2nmXUarUYNWoUUlNTTe5BKwetVovvv//e4ogAIiKit1W7du3S3YKNiIiyD6c8E6/X65GQkABvb+90twh5nVqttnrfTLnWIXlERkaiY8eOcHV1Rb58+XDp0iWkpKTghx9+sPu6cSIiZyIIAuLi4pArVy6zt4lMk5KSAk9PT5ti27MOERERZT9ONTv9w4cPMWXKFISGhsLf3x9Hjx41W2/y5MnInTs3vL29UaJECezdu1c0tj3rkLzKlCmDS5cuYf369Rg6dCg2b96Mhw8fsgNPRDney5cvMXfuXJQqVQr+/v74+eefzdZbvHgx8uXLBx8fHxQqVAjr1q0TjW3POkRERJR9OVUn/scff4QgCPj1118t1lm4cCHmz5+PXbt2ITk5Gb1790bbtm1x8+ZNWdehzKFUKlGuXDm0bt0aderU4VkjInor/P7774iOjsauXbss3ipxx44dGDFiBJYuXYqUlBTMnDkTffr0wZEjRyzGtWcdIiIiyt6ccjj9gwcPEBISgkOHDqF+/fomZcWKFUPbtm1N7qtcpEgRdOjQAXPmzDEbz551iIiIMoOLiwtWrlyJXr16mSxv1KgRcufOja1btxqX1atXD0FBQRZ/3LZnHSIiIsrenOpMvJjnz5/j9u3bqFOnjsnyunXr4tSpU7KtQ0RElNVOnTqVrq2qV6+e1bbKnnWIiIgoe8tRs9M/ffoUABAYGGiyPG/evBa/sNizDvDq/qOpqanGvw0GA2JiYpAnTx7J990kIiLLBEFAQkICChYsmO6e2G+b5ORkJCUlmW2r0toxOdYB2L4REWU2tm+UUTmqE5/GYDCY/K3T6US/eNi6zsyZMzF16lT7kyQiIkmioqIQHBzs6DSyBbZvREQ5B9s3sleO6sQXLFgQAPDkyROT5U+fPjWWybEOAIwfPx6jRo0y/h0XF4fChQsjKioKvr6+duVPRET/Ex8fj5CQEPj4+Dg6FYfLlSsXcufObVNbZc86ANs3IqLMxvaNMipHdeJz586N8uXL48CBA+jYsSOAV2cgDh48iAEDBhjrpaSkQKfTwcfHR/I6b3J3d4e7u3u65b6+vvySQ0QkIw7hfiUsLAwHDhzAZ599Zly2b98+hIWFGf9OTU2FWq2Gn5+f5HXexPaNiChrsH0jeznVRRgajQaxsbGIj48HACQmJiI2NhZqtdpYZ8KECVizZg02bNiA27dvY8iQIUhNTcWgQYOMdYYNG4batWvbtA4REVFm0el0iI2NRWxsLIBX17PHxsYiOTnZWOfzzz/HgQMHMG/ePNy5cwfTpk3DpUuXMHr0aGOdb7/9FoUKFbJpHSIiInIuTtWJ//XXX1GkSBG899578PPzQ7du3VCkSBHMnz/fWOfjjz/GkiVLMHv2bNSuXRs3btzAwYMHUaBAAWOdXLlymZxNkLIOERFRZjl58iSKFCmCIkWKwNvbGxMmTECRIkUwZswYY52wsDD89ttv2LhxI2rVqoW9e/di9+7dqFixorGOh4cHcufObdM6RERE5Fyc8j7x2VF8fDz8/PwQFxfH4YZERDLgcTV74OtARCQvHlcpo5zqTDwRERERERHR24ydeCIiIiIiIiInwU48ERERERERkZNgJ56IiIiIiIjISbATT0REREREROQk2IknIiIiIiIichLsxBMRERERERE5CXbiiYiIiIiIiJwEO/FEREREREREToKdeCIiIiIiIiInwU48ERERERERkZNgJ56IiIiIiIjISbATT0REREREROQk2IknIiIiIiIichIujk6AiIiIiIiInJ9arYZGo5EtnpubGzw8PGSLl1OwE09EREREREQZolarkcfTG8nQyxYzf/78uHPnDjvyb2AnnoiIiIiIiDJEo9EgGXp0RSG4yXDVtgYGbHgcDY1Gw078G9iJJyIiIiIiIll4Qgk3RcY78SpBhmRyKHbiiYiIiIiISBYqhQIqhSLjcaAA2JE3i7PTExERERERETkJnoknIiIiIiIiWSgVgCrjJ+JfnW3mmXiz2IknIiIiIiIiWcg6nJ7M4nB6IiIiIiIiIifBM/FEREREREQkC5VMw+lVGQ+RY7ETT0RERERERLLgcPrMx+H0RERERERERE6CZ+KJiIiIiIhIFhxOn/nYiSciIiIiIiJZcDh95uNweiIiIiIiIiInwTPxREREREREJAsF5DlTzPPwlrETT0RERERERLLgcPrMx+H0RERERERERE6CZ+KJiIiIiIhIFpydPvOxE09ERERERESyeNWJl2M4PVnC4fREREREREREToJn4omIiIiIiEgWHE6f+diJJyIiIiIiIllwdvrMx+H0RERERERERE6CZ+KJiIiIiIhIFkqZhtPzbLNl7MQTERERERGRLBwxnP758+fYtm1buuUffvghgoKCTJZFRkbi3LlzCAgIQIMGDeDh4SEa3551MhM78UREREREROS07t69i/79+6N79+5wc3MzLm/YsKFJJ37y5MmYO3cuGjVqhBs3bkCr1eLgwYMICQmxGNuedTIbO/FEREREREQkC0fOTr9gwQLkzp3bbNnp06cxbdo07Nu3D40bN4ZGo0GdOnUwYsQIbN26VbZ1skKO68R37NgRKSkp6ZY3b94cQ4cONbvO4sWLsXv3bpNloaGhWLRoUabkSEREZKshQ4bg3r176ZZXrlwZX331ldl1fv31V6xdu9ZkmaenJ7Zs2ZIZKRIRETm0E797924olUqUKVMGFStWNCnbuHEjSpUqhcaNGwMA3NzcMHDgQHzyySdITEyEt7d3unj2rJMVclwnvm/fvtDpdMa/b926hREjRqBz584W17l06RJiY2Mxbtw44zJfX99MzZOIiMgW4eHhiI+PN/4dHx+Pbt26oVatWhbXuXnzJq5fv4558+YZl7m45Limn4iIcrDX2z4AcHd3h7u7e7p67u7uWLt2Lby8vHDw4EHUrl0bW7ZsgY+PDwDgypUrKFeunMk65cqVg1arxX///YcqVaqki2nPOlkhx7XkzZs3N/l7/Pjx8Pf3R4cOHayulz9/frRu3TozUyMiIrJb3bp1Tf5etmwZlEolevfubXU9Pz8/tm9ERJRl5J7Y7s1rzydPnowpU6aYLCtQoACuXr2KYsWKAQAePnyIqlWrYsKECVi4cCGAVz8GhIaGmqwXEBBgLDPHnnWyQo7rxL9Or9fjxx9/RLdu3URnELx48SI6deoEPz8/1KlTB926dYNSyRsbEBFR9rRq1Sq0bNkShQoVslrvwYMH+Pjjj+Hu7o7q1aujf//+JpP+EBERyUkFmYbTC6/+jYqKMhklbe4s/JttYcGCBdG7d2/88ssvxmWenp5ISEgwqZf2t6enp9kc7FknK+ToXuoff/yBR48eoX///lbrubq6omHDhmjbti1KliyJsWPHonXr1hAEweI6qampiI+PN3kQERFlhcuXL+PMmTOi7ZtCoUCDBg3QsmVLVKtWDfPnz0etWrWgVqstrsP2jYiIshNfX1+Th7lOvDmenp6IiYkx/l28eHHcvXvXpM6dO3cAwHgG/032rJMVcvSZ+FWrVqFmzZqoUKGC1XrTp083+XWnefPmqFSpEn7//Xe0a9fO7DozZ87E1KlTZc2XiIhIipUrV6JQoUJo2bKl1XqDBg0yad86dOiAkiVLYvHixRg1apTZddi+ERFRRihlGk6vtCHG3bt3UaRIEePfOp0OW7duRe3atY3LPvjgA6xevRo3b95E8eLFAQA///wzateujcDAQADAs2fPsH37duP95aWs4wg5thP/+PFj7N69G0uXLhWt++YkdhUqVEBoaCjOnj1rsRM/fvx4ky9A8fHxDr1XIBERvR1SU1OxYcMGDBo0CCqV9bl732zf8ufPj2rVquHs2bMW12H7RkREGSHb7PQ2xFi7di3++ecfNGzYEC4uLti8eTOeP3+On3/+2VinTZs2aNGiBZo1a4b+/fvj8uXL2LNnDw4ePGisc+vWLfTv3x/ly5dHUFCQpHUcIcd24n/88Ud4enpanZXeEkEQEBsbC1dXV4t1LM2KSERElJm2bduGmJgY9O3b1671X758icKFC1ssZ/tGRETOZsqUKTh58iT27NmDly9fYvDgwejSpQty5cplrKNQKLB9+3asX78eERERKFasGC5evIgSJUoY6+TNmxd9+/ZF3rx5Ja/jCArB2oXfTqxUqVKoX78+li1blq5s4cKF+Pfff7Fo0SJotVqsW7cOffr0geL/h2xMnz4dkyZNQkREBCpXrixpe/Hx8fDz80NcXBxvT0dEJAMeV81r2rQpFAoF/vzzz3Rlmzdvxq+//mq8D/zKlSvRs2dP44/S69evR/fu3bF9+3a0adNG0vb4OhARySunHlfTntePgaWQS2nPXd5NJRv06Pn8eo7bT3LIkWfi//nnH/z333/YsGGD2fKLFy/i5MmTAACVSoWIiAhMnjwZJUqUQFRUFBISEvDTTz9J7sATERFlhXv37uHAgQPYvHmz2fIbN25gz549xr8fPnyIokWL4p133kFMTAzu37+P7777TnIHnoiIyFaOGE7/tsmRZ+Jv3LiBW7dupbtnfJpLly4hNjbW5J67L168wJUrV+Dv74+SJUuK3pLuTTn1FzUiIkfhcTW96OhonD9/Hs2aNTN7ydfNmzdx8+ZNk/YvISEBFy9ehKenJ0qVKgVvb2+btsnXgYhIXjn1uJr2vNYHyXcmvtsznok3J0d24h0hp34YiYgchcfV7IGvAxGRvHLqcTXteW3MW1q2TvzHT//NcftJDjlyOD0RERERERFlPaVCYdPt4azFIfOUjk6AiIiIiIiIiKThmXgiIiIiIiKShUKlgEKZ8bPoCp6Jt4ideCIiIiIiIpKFUqWAUoZOPIfTW8bh9EREREREREROgmfiiYiIiIiISB4qJRRKGc4VK3gTNUvYiSciIiIiIiJZKJQKKFQyXBMPDqe3hMPpiYiIiIiIiJwEz8QTERERERGRLJQqBZQynIlX8ky8RezEExERERERkSwUSnmuiVcIvCbeEg6nJyIiIiIiInISPBNPREREREREsuBw+szHTjwRERERERHJQqHi7PSZjcPpiYiIiIiIiJwEz8QTERERERGRLF6diZdhYjsYZMgmZ2InnoiIiIiIiGTBa+IzH4fTExERERERETkJnoknIiIiIiIiWSgUCiiUMkxsZ+CZeEvYiSciIiIiIiJZKFVKKGW4Jl4pcNC4JdwzRERERERERE6CZ+KJiIiIiIhIFrLdJ17gcHpL2IknIiIiIiIiWbATn/k4nJ6IiIiIiIjISfBMPBEREREREcmCE9tlPnbiiYiIiIiISB4yDacHh9NbxE48Edml1tf7rZa7uKpEYyhEfmCVEkOMUsJ9SqXcy9TTzXouOwfUlpwTERG93Rot+Ee0jouL+FnI1FSd1fLDI+tJzomInAc78URERERERCQLpUIh6SSKlDhkHjvxREREREREJAuFSgmFDNfEKwy8Jt4S7hkiIiIiIiIiJ8Ez8URERERERCQLpUoBpQwT2ykNHE5vCTvxREREREREJAuFTLPTK9iJt4jD6YmIiIiIiIicBM/EExERERERkSw4sV3mYyeeiIiIiIiIZKFUQaZr4mVIJofizxtEREREREREToJn4omIiIiIiEgWCqUCCqUME9vJECOnYideZuoD6+Dm5Wm2zKNp3yzOht5GfTedF62jNwgZ3k7l0kFWy33cxQ8v3h7W66gkHLw1uoyPtZKyHU83VYa3Q0REzm/6gf9E64i1GW2qFhKNkajWZbjO5D//FY0xtVlp0TpEtlAqlVDKcE28Us9B45ZwzxARERERERE5CZ6JJyIiIiIiIlnIdp94O2O8fPkSPXr0AADs3LnTuHzJkiXYunVruvpKpRJ//fWX2Vj//fcfBg8enG75woULUaZMGbvykwM78URERERERCQL2W4xZ2eMPn364MaNG3jw4IHJ8kaNGqFEiRImywYOHIgiRYpYjBUfH48DBw5g27Zt8PLyMi4vVEj8kpjMxE48EREREREROb0ffvgBL1++xODBgzFhwgSTspIlS6JkyZLGv69fv47bt29j+vTponHr1auH3Llzy52u3XJcJz4iIgI3b940WZY7d240b97c6noGgwGnTp3CkydPUL58eRQvXjwz0yQiIrJJZGQkLl68aLLM1dUV7du3F133/PnzuHv3LooXL44KFSpkVopERERQKJVQKGU4E29jjIsXL2L69Ok4ffo0tm/fLlp/1apVyJMnDz766CPRuv369YNOp0OZMmUwZMgQBAcH25Sb3HJcJ37lypX4448/8P777xuXhYSEWO3Ex8XFoXnz5rh//z7Kli2L48ePY9iwYZg1a1ZWpExERCRq+/bt+Oabb9C0aVPjMg8PD6udeI1Gg44dO+LYsWOoWrUqTp06hdatW2PdunVQyvAFi4iI6E1KlUyz0/9/jPj4eJPl7u7ucHd3N1mWlJSEzp07Y/78+QgJCRGNrdPpsG7dOvTo0SNdrDfVrVsXLVu2hJeXFzZs2IAyZcrg2LFjePfdd218RvLJcZ14AKhZsyY2bdokuf4XX3yBmJgYXLt2DX5+fjh69Cjq1KmDJk2aoFGjRpmYKRERkXTvvPOOTe3bggULcPz4cVy4cAHBwcH477//ULlyZaxZswZ9+/K2p0RElP292SmfPHkypkyZYrJs6NChqF69OsLDwyXF3LVrF548eYJ+/fpZrVeuXDkcPnwYCsWrSfbCw8NRt25djB07Fnv37pX+JGSWI3+Gf/nyJXbs2IG///4bsbGxVusKgoANGzagb9++8PPzAwCEhYWhRo0aWL9+fRZkS0REJE1KSgr++OMP7N+/H0+fPhWtv379enTs2NE47K9kyZJo3bo12zciIso8/z+xXUYf+P8z8VFRUYiLizM+xo8fb7K51NRUrF27Fv/99x8aN26Mxo0b44cffoBarUbjxo2xa9eudCmuWrUK77//PsqWLWv1qXh6eho78GlatGiBc+fOZXAnZUyOPBN/8eJFLF26FNHR0bh79y6+//579OrVy2zdBw8eIDY2FuXLlzdZXqFCBVy4cMHiNlJTU5Gammr8+81hHkRERHKLiorCggULEBcXhwsXLmDy5MnpvsykMRgMuHr1KgYMGGCyvEKFCpg/f77FbbB9IyKijFAoZZqd/v8v+/L19YWvr6/Feq6urti3b5/Jsu3bt+PevXsYN25culvBPXr0CHv27MHq1avtyuv58+fw8PCwa1255LhOfOfOnTFv3jx4enoCAObPn4/+/fujatWqZifziYuLAwAEBASYLM+TJ4/Vs/gzZ87E1KlT0y03JMbCYFCbXSd56xzR/HO1HyNax1nceZ4gWkcQKdcbMp6Hm4R7TIpVUSnFYxTI7SVaR8zft56L1nmerLFa3qhUUIbzcHcRP/C6u6islntIiCG2W1UK8f2uF8TeReKkbMdV5E1y6WGcaIx3C/pJzonoTfXr18cnn3xinB33999/R7t27VCpUiW0aNEiXf3k5GTodDrZ2jciZ/DndesjVKS0TWJtYINieURjKCW0K2K0evH2TWvI+Bclse8e9YoFZngbRJlJqVSicePGJsv+/fdfqFSqdMsBYO3atfD29kbHjh3TlUVGRmLYsGHG+8Bv3LgR9erVQ8GCBQG8Olm8cuVKh1+SluOG09evX9/YgQeAESNGwM/PD3v27DFbP20ig8TERJPliYmJVn9hGT9+vMmwjqioKBmyJyIiMq9WrVomt7f56KOPUKVKFezcudNsfbZvRETkCGmz08vxyAyrV69Gt27dTPqMaeLi4nDgwAHjiV5/f380bNgQFSpUQOXKlVGzZk107doVM2bMyJTcpMpxZ+LN8fHxwbNnz8yWFS5cGC4uLrh//77J8nv37uGdd96xGNPcrIhERERZydfX12L75urqipCQELZvRESUpV5d0259xKa0OHq7123btm26y6WBV5eMLVmyxOLM8mXLlsW+ffuM18o3b94c165dw/Xr15GUlIQSJUoY51FzpBx1Jt5gMKSb6Ofs2bO4d+8eqlevblx25swZ42yC7u7uaNSoEbZs2WIsf/78OQ4ePIhWrVplTeJEREQiHj16ZPJ3VFQUzpw5Y9K+Xbt2DVu3bjX+3bJlS/z+++/Q6XQAALVajR07drB9IyKiHC04OBj169dPt9zd3R2NGzdG3rx5za7n6+uLxo0bm1yDr1QqUaZMGVSrVi1bdOCBHHYmXq/Xo169emjRogXKlSuH+/fvY+HChWjVqpXJfXSXLVuGkydPGu8dP2vWLISFhaF79+6oXbs2Vq5ciTJlylicDI+IiCirdezYEeXLl0eVKlUQExODRYsWoWzZshg8eLCxzm+//YZZs2YZ27yJEyeiWrVq+PDDD9G6dWts2bIFSqUSo0ePdtTTICKiHM44u7wMcci8HLVnXF1dERERgeLFi+PkyZNISUnBjz/+iJ07d0L12pCOGjVqmEwCVKlSJZw7dw4FChTAqVOn0KVLFxw5coTDCYmIKNs4dOgQateujXPnzuHJkyeYPXs2Tp48CW9vb2OdcuXKoUOHDsa/g4ODce7cOVStWhUnT55E/fr1ERERgcBATlRFRESZQ6lUyvYg8xSCIMPUzoT4+Hj4+fnh0bqv4JvL/lsOcHZ6U5ydPj2x2elTdRnfaZydPj2x2em93cQHNnF2etukHVfj4uKs3lqGMhdfB3ImWTE7vUFCu+NMs9OLtYGcnV5+OfW4mva8rozsAh93twzHS0jVoPy8n3PcfpJDjhpOT0RERERERI7D4fSZj514IiIiIiIikgU78ZmPe4aIiIiIiIjISfBMPBEREREREclCoVBCIcOkdAoFzzdbwk68zASNGoKFvar0FJ/4TP3XKqvlSp/cojHcare3Wq6JeSgaw+Dpb7U8VcI8Kv4e1ic+k0IhZcIxkdnRZJhbBlLmTotJSLZanqwV32mF/cTviFDI13odCXPwiU5iI2EuQNHXRkoeYuTIQwo5cpUSIi4pxWq5n5dnxhOR4IXIe9VbUIvGcPcNkCsdchLJv8+Hi4WJWxXu4hO6erb5VO6UHCY20fpnCJDnGClWxUVKDINOvJIIdy+fDMd4HJckWkfs67qU4331gt6idUTzENmMQYYpobPTrNJyPB+i13E4febjniEiIiIiIiJyEjwTT0RERERERLLgmfjMx048ERERERERyUKpUkIpQwdcjhg5FfcMERERERERkZPgmXgiIiIiIiKShUKpkGd2ejlmHs6h2IknIiIiIiIiWfCa+MzHPUNERERERETkJHgmnoiIiIiIiGTBM/GZj514IiIiIiIikoVCoZTnmngFO/GWcM8QEREREREROQmeic9KLm6iVZSeXlbLVX55RGPooy5bLVe4+4jnoY6zWu4pGgGAXidaRaHXipRrxLdjENmOlF/xlNY/CoLKVTSEi8jr6y2yjVd5iFcRJbY/AMBgsFqsECmXQpCw3xWCyHYMevEYUp6vCFlylWE72mTx95ng6mG9goT94ZeaZL2ClM+db4B4HcpZDHqLn0mFm8j7EoDmn01Wy1V58ovn4OVvtdjg7i0eQ8LxXOyz6iXpOGv9+KXUJkuIIXLckeFMl5TjnzYxV4a3k0fCMVS0zZfSjspBJFdBSh4ynEGU8h1IUi4ZpEsSf+1cCpTI9Dy0z+6LVxL5XgkArvmLyZANWaNQqaBUqWSJQ+ZJ/uSr1WqbAnt4iDfoREREjpaamgpBECTXd3d3h0LB294QERGZw2viM5/kTrynp6Rzr0a2fCEiIiJylFKlSuHevXuS69+5cwdFihTJvISIiIiIrLBpDM4///wjqV6dOnXsSoaIiMgRtmzZgvz5xYdzd+zYMQuyISIicl48E5/5JHfiQ0NDERYWJrkuERGRMwgODkatWrUQHBwsWrdYsWJwceF0MkRERJYolDLNTi9DjJxK8jeRu3fvSg5qS10iIiJHOnr0aKbUJSIiIsoMPJ1AREREREREsuBw+sxndyf+2rVrOHnyJGJiYtKVjRkzJkNJEREROcrdu3dx5MgRPHv2LN0krQMGDICvr6+DMiMiIsr+FEqFPJ14Je8EY4ldnfilS5diyJAhCA4Ohr9/+nu2shNPRETOaNeuXWjfvj0CAgKQL1++dOVdunRhJ56IiIgcyq5O/MyZM7F27Vp0795d7nyIiIgc5ttvv8WXX36JiRMnOjoVIiIip8SJ7TKfXZ342NhYtG/fXu5ccgSFUgWFUmW+zMVVPIBIHUGrEQ2hTE2yWq7SpornIUYnHsOQlCBeR209V0GnFc9F5AOucHETDSH22kh57ZQq8697GkGvF40Bg0G8jgwEnfj7KKOUFj4HJnkYrO8TKa+/WAy5CGLPR0oeIjEsHTtM61h/v0vZZ7qEWNE6YlyCy4nWSdr4tdVyr4+zX0c5NjYW7dq1c3Qa2ZJBp4VBZ6F9k3KsFjuOSvgMKVITrZarRMoBiH4OAUAQaZsktW8pIjGkHIdF2i+FSLsjiYT2TdL3F5H2S9CoRUMIYhWk5CH2XpTSKZDhWC22nezUvokRJHw30dw8a72ChP2ucPOwnoeUfSbyuQMA5C8mXocyxFp/yNY4ZJ5dP29Uq1YNERERcudCRETkUGzfiIiIKLuTfCZ+165dxv83btwYnTt3xmeffYbixYtDoTCddKB169byZUhERJSJDh48iOTkZABArVq1MGLECNy/fx8VKlSA6o0znY0aNYKnp6cj0iQiInIOSpWkUU+S4pBZkjvxHTp0SLds/PjxZuuq1eJDpoiIiLKDQYMG4d69eybLvv7a/KUA169fR2hoaFakRURE5JyUSmmXrkiJ4+SioqJw6tQphISEoGbNmiZlL168wJ49e9CtWzeb40ruxLNjTkREOdH169cdnQIRERHlMLt370aHDh2QkpICAKhfvz42b96MvHnzAgAePXqEWbNm2dWJt+vnjcDAQLvKiIiIsrMqVaogKirK5jIiIiJ6RaFSyfZwZkOGDMHYsWORkJCAEydOICYmBnXr1sXDhw8zHNuuTvyLFy/MLtdqtYiPj89QQkRERI4SExMDvYU7STx58iTdNfJERET0hrRr4uV4OKnHjx8jKSkJkydPhre3N2rVqoXjx48jNDQUDRo0yHBH3qZbzP36669m/w8ABoMBJ0+eRPHixTOUEBERUVbbs2cPkpKSkJycjD179iAoKMhYJggCbty4gYSEBOTLl8+BWRIREZGzUCqVJhPAe3l5YceOHWjXrh3q16+PH374we7YNnXi+/XrZ/b/AODq6ooiRYpg4cKFdidDRETkCJ9//jnu37+P+Ph4fP7551C+NpmOSqVCwYIFsXz5cp6JJyIiEqNUyjQ7vfNObJc/f374+Pjg1q1bKFasmHG5u7s7fvvtN7Rv3x6dO3dGwYIF7YpvUyc+NjYWAFC8eHHcvHnTrg0SERFlN5cuXQLwatKZDRs2oFChQg7OiIiIyDkplEooZOiAyxHDkcaOHYvvv/8eCxYsMFme1pHv2LEjbt26ZVdsmzrxaTp37mzXxoiIiLKzDz74AF5eXo5Og4iIiJxc//79LZa5ublh27Zt0Gq1dsW2qxM/Z84cTJ48Ga6urnZt9G0l6MRfJCHJ+sSA+lTxW/0ZEmOlpmQ5j5Qk69tIThDPQ+S5AIBgMEjOyRJ5fukTGfKTVRNrGMxPqPU6QaSOQauTK5tMJ+gz/vqLvYekbEOhyppfesVykSMPXUqqaB1NQrL1GEnixxn9gSOidcSeb9GPRUNkuRUrVqBNmzbInTu3o1PJdpQurlC6WGj3JRy7DHHmJ8VNI0ho38Q3IuEYqpHQjibEWi3Xp1j/DAHZ51gsRxup8nDLcAwp+0OsjhxthhzHWaWr+NdnOV7/7PJ8peSh11j/jivl+56Lh3uGtgEAerVGtE7ehj1E61AGKWSalE6Rsy9hUygUcHOz7/hqVye+atWqOHLkCBo1amTXRomIiLKjtPatRIkSjk6FiIjIOck1s3wGYiQmJkKv18PPz8+4TK/XIyEh/YlIHx8fSXPeqNVquLu7m0xWJ1VkZCQuXryIxMREk+UBAQFo166dzfHs6sS3atUKnTt3xvDhw1G2bNl0vyC0bt3anrBEREQO1aJFCwwZMgQ3b95ElSpV4OnpaVLeqFGjdMuIiIgo+zh9+jTCwsLg5uZm0mk+f/48qlevDl9fX5OO+P79+1GtWjWL8Y4dO4ZPPvkEkZGR8PDwQP/+/TFnzhzJk92OHz8es2fPRmBgIHLlymVSVqpUqazrxE+bNg0A8PXXX5stV6tlGBJHRESUxb766iukpqZi3rx5ZsuvX7+O0NDQLM6KiIjIeThyYru4uDh07doVH374Ifbs2WO2zr179yRfNvf48WO0bNkSn3zyCc6cOYPIyEg0bdoUvr6+mDp1quj6sbGxmDt3Lo4cOYKwsDBbnopVdnXi2UknIqKc6Pr1645OgYiIyLk5cDj9gAED0LFjRxQsWNBiJ95gMECj0Ui6Hn3NmjVwcXHB9OnT4eLigsqVK+PTTz/F999/j0mTJomejY+JiUGhQoVk7cADgHPP209ERERERERvvRUrVuDWrVuiZ8iDg4Ph7e2NEiVKYOXKlVbrnjp1CrVr14aLy//OfderVw8vXryQdMv1IkWKQKlUyn57drvOxAOATqfDtm3bEBkZCUEQULZsWbRt29bkCTrC33//jTlz5uD48eNwcXFBWFgYZs2aZXWSok8++QTLli0zWVauXDlcuXIls9MlIqJsRhAE7NmzBxcvXoRarUaJEiXQrl27dNexZbULFy5g9uzZOHz4MFJTU1G9enXMmDEDVatWtbjOrFmzMH78eJNlXl5e6SbWISIiko1SKdOZ+Ffnm+PjTe945e7uDnd307sZXLt2DRMmTMDRo0ct3kHNw8MD8+fPR8+ePeHp6YlNmzahX79+UKlU6N27t9l1nj59ipIlS5osy5s3r7GsVKlSIk9BiVWrVqFevXro1q0bChQoYFIeGBiIbt26WY1hjl097lu3bqFly5a4f/8+ihUrBoVCgZs3b6Jw4cLYvXs3ihUrZk/YDNPr9Zg8eTI+++wz/Pjjj0hOTsbQoUPRuHFjXL16Fd7e3hbXbd++PX799dcszJaIiLKbFy9eoFWrVjh79iyKFy8Od3d33Lp1C59//jl+//131KhRw2G5TZo0CV27dsW8efPg4uKCiRMnolGjRrh8+TJCQkIsrle1alVERERkYaZERPQ2U6hUUEic9E0sDoB0bdzkyZMxZcoU498GgwHh4eEYO3Ys8uXLh9jYWKSkpAB4dU16rly54ObmhvLly6N8+fLG9Xr27Im///4bCxcutNiJT4v/Op3u1S0kpc5S//333+Px48fYsmVLuhMCJUqUyLpO/PDhw1GmTBkcO3YMgYGBAIDnz5+jX79+GD58OHbt2mVP2AxTqVQ4fPiw8e+AgAAsWLAAoaGhOHnyJBo3buyQvIiIyDlMnjwZSqUSt2/fNn5pSExMxJgxY9CnTx+HjtDasWOHyd8LFy7EmjVr8Oeff6Jfv34OyoqIiChzRUVFwdfX1/j3m2fhtVotoqKiMH36dEyfPh0AoNFokJKSgiJFimDevHkWO+mlS5fG77//bnHbhQoVwpMnT0yWPX36FABQsGBB0dwfPXqEP/74AxEREahcubJofansuib+0KFDWLx4sbEDD7waCrB48WIcOnRItuTk8OzZMwAwuUegOXv37kWuXLlQoEABdOrUCXfv3s2C7IiIKDs5dOgQ5syZY/Krv7e3N3744QfcuXPH2KZkBy9fvoROpxNt365cuQIfHx8EBgaiRYsWuHTpUhZlSEREbyWlUr4HAF9fX5PHm514d3d3xMbGmjy++eYbeHl5ITY21upZ9oiICBQuXNj4t16vR2xsLPR6PQAgLCwMx48fN5nYfd++fShYsCCKFi0qaXcUKlRI1g48YGcnXqVSQavVpluu0Wgcfk3863Q6HUaNGoXKlStbvWawePHi2LhxIx4/foyDBw8iLi4OderUQVxcnMV1UlNTER8fb/IgIiLnZql90+l00Ov12aqNGzlyJAoUKIAWLVpYrJM3b16sWrUK9+/fR0REBAIDAxEWFoZ79+5ZXIftGxERZUja7PRyPGQ0ZswYLF68GNevXzdOgPfrr7/i888/N9Y5c+YM/P39cebMGQBAr1694OPjg379+uHmzZv4/fffsWDBAowfP17ScPq0a+AjIyNlfS52fRtp3rw5+vTpg5UrVxp/gbh9+zb69u2LZs2ayZqgvQRBQL9+/XD9+nUcPXoUSiv3GRwzZozx/76+vti8eTMKFCiAzZs3Y8CAAWbXmTlzptmZD/UaDfQq8y+oCuJfhPQpSaJ1MsqgEb9FoC7Jeh1NvHieOrVGck6ZSdAbROsoVDLcy1KGGFJyFasjGMRjiDFodBmOkVX7Q6/NmlytHUOkEstV+P9ffa0xiMTQinx2AUCTlL6TahIjUfyzKxYDAHRq67lK+/06azVv3hyffvop1q9fjwoVKgB4dY/YTz/9FO+++y78/f0dnOErkyZNwvbt27F//36r87306dPH+H9/f3+sXr0axYoVw7JlyzBjxgyz61hq33QpauggmF1HZRB/7yLJehuokPBlTRDZjtjnA5DWfmkSkq2Wi7WRchE7Br55naY5KlfrX/WkHGdVHuK3YRIjpW2So+2Rsk8ySkp7IEceenWqaB057sWtdDM/CZhNMUTy0El4LmLvESntmy5FvG2KbtvUarmU9q3mvuw18pjSc3d3T3cv+PHjx2PmzJlYtGgRkpKSULp0aezbtw+NGjUy1nFxcYGfn5/xR3s/Pz8cOnQIo0ePRlhYGAICAjB9+nQMHTpUUh7Pnz/Hu+++i7CwMLMT2wUFBaFv3742Pz+FIAjmW2QrHj9+jPbt2+P48eMICgoC8GrY+nvvvYetW7cif/78NiciJ0EQMGDAAOzYsQOHDh1C2bJlbY5RokQJtG3bFt9++63Z8tTUVKSm/u+AFB8fj5CQEDxYOg6+nu5m11G5m19uQuZfnMxhJz49duJNsROfHjvxtsUAxDvxdU8dt1oeHx8PPz8/xMXFmVwLl5kSExPRpUsX7Ny5E/7+/nB3d8eTJ09QtmxZbNmyBWXKlMmSPKz5+uuvMXPmTOzevRv16tWzef0mTZogd+7c2LJli9lyS+1b1KKxlts3GTp57MSnx0687diJt93b1onXirRfWdGJd0T7lhXSntfzAxvg65XxO7rEJyUjsFFXp95Pt27dQnh4uMXy4sWLY9OmTTbHtetMfP78+XHs2DEcPXoUV69ehUKhQNmyZWW/ib09BEHAJ598gh07duDgwYN2deBjY2Px4MEDq5MVmLu1AREROTdvb2/s2LEDZ8+eNd5irmTJkmjQoAFUMsy0m1HTp0/HzJkz8ccff9jVgddqtbh+/To++ugji3XYvhERUYYo/nc9e4bjOLlixYplyh1iMrRnwsLCMHDgQAwYMCBbdOABYMiQIdi2bRsOHjyIcuXKma3Tr18/4+0FUlNT8dFHH+H06dNISkpCZGQkwsPD4ePjg65du2Zl6kRElE1UrVoVffr0weDBg9G4ceNs0YGfPXu28Qx8/fr1zdb5+uuvTYbXh4eH4/Dhw4iPj8fdu3fRp08fPH/+HAMHDsyirImIiN4+0dHRmDNnDv79999MiW/3DD3Xrl3DyZMnERMTk67s9WvMs9Lz58+xZMkSADC5ByAArFixwuwteNzd3dGvXz+MGTMG58+fh7+/P+rUqYNTp04hb968WZI3ERFlH3fv3sWRI0fw7NkzvHnF2YABAxw2pO+rr75CUlJSug78F198ga+//trsOiNGjMC0adNw4sQJeHp6onr16jh58qRdo9SIiIikUChVki6RkhLHWbm4uODw4cOYNGkSChYsiNatW6N169aoW7cu3NwyfomSXZ34pUuXYsiQIQgODjY7yY+jOvGBgYHpvnCZs3LlSpO/W7VqhVatWmVWWkRE5CR27dqF9u3bIyAgAPny5UtX3qVLF4d14hMTE0XrTJw4ERMnTjT+Xbt2bezZsycz0yIiIjKlVMozz5ccQ/IdJF++fNi1axdSUlJw4MAB7Nq1C3369EFsbCyaNm2K1q1bo2XLlnafNLarEz9z5kysXbsW3bt3t2ujRERE2dG3336LL7/80qQjTERERGQPT09P41l4ALhw4QJ27dqFpUuXon///qhatSpat26NDz/80HhXHCns6sTHxsaiffv29qxKRESUbcXGxqJdu3aOToOIiMh5KWWa2M6Jz8RbUqlSJVSqVAkTJ07Es2fP8Mcff2DXrl3Ys2cPjh07JjmOXXumWrVqmTLLHhERkSOxfSMiIsoYhUol2yMnCwoKQq9evfDrr7/i6NGjNq1r15n4xo0bo3Pnzvjss89QvHhxKBQKk/K04QJERETOpGHDhhg2bBju37+PChUqpJuVvlGjRvD09HRQdkRERORMHj9+jDlz5pgtUygU8PT0RNmyZdGmTRvkypVLcly7OvFTp04FAIwfP95suVqttidsjmDQ6mBwMf+rkaA3yBJfjE6darVcE58sGkOTYL2OXmQbAGDQiOcqGkPCPhMMGd+vYhQShvMoVRkf8iPH85XyPhP01ieAlJKH2PNVqBRWy6UQyxOQlqsYKa+d0s36r8FS9rsmSWu1XJci/pnRJGmslhs0UvKwHkMsTwDQJorXcUbTpk1DcnKyxdner1+/jtDQ0CzOKnuw1r4pJHyG9Grr7zspnyG91vr7Tpsk/v0jNVZ8gkBdUor1PCS0b2LttZTjm+g2JOwzleixSzwPlYeraB2x46heyveXFOuvr5Rjtdg+EQwSnq+r9X0m1h4A4u9nKftdqxbfZypX6/tE7PUHxD+/Bo1eNIYYKc9Fm2j9GFFt9wHRGP/Ufl+0Tmq89e1oRdpIkkCpkmliO+c/E6/RaPDPP//g9OnTKFSoEEqWLImUlBRcunQJWq0WtWvXxg8//ICJEyfizJkzZieNN8euXodarbb6ICIickbXr1+32r69rR14IiIiydI68XI8nFzhwoXh5eWFuXPn4v79+zh48CBOnDiBqKgo1KlTB127dsW9e/cQGhpq8QSCOZk6W0D+/PkzMzwREZFDVK9eHVFRUY5Og4iIiLKxuLg4REZGYtSoUVC+NrI3ICAAX375JX7//Xf4+Phg7NixNs3JY9dweqmePHmSmeGJiIgc4tmzZ9DrMz7ElIiIKKdRKJWSLkWVEsfZxcTEICEhAWq1Gh4eHiZlT58+RUxMDADA3d3dpjl3nH/PEBERERERUfagkGkovcL5h9MXLVoURYsWxYcffojTp08jISEBT58+xebNm/Hpp5/igw8+AABs27bN+H8pMvVMPBEREREREdHbavv27Rg4cCBq1qxpXObp6YmhQ4di3Lhx0Ol0CAsLQ7t27STHZCeeiIiIiIiI5KFQAAoZBnwrMn6no+zgnXfewb59+xAVFYVbt24hV65cKFWqFPz8/Ix1OnToYFNMDqcnIiIiIiIieSiU8j2c3N27d3HhwgUAQEhICOrXr48aNWrAz88Per3ephnpX+f8e4aIiIiIiIgom9FoNGjevDlu3rxpslyn06FLly74888/7YqbqZ34NWvWZGZ4IiIih5gzZw4CAwMdnQYREVG2IyiUsj2cXcmSJdG/f380adIEDx8+BPCqA9+1a1ecO3cOmzZtsiuu3Xvmxo0bmDp1Knr27Glctn37dqSmphr/7tWrl73hiYiIHOLx48eYOXMm+vTpg+fPnwMA9u/fb7wNDPDq2jVvb29HpUhERJR9cTi9ia+++gotWrRA06ZN8fTpU3Tp0gXnz5/H4cOHUahQIbti2jWx3d9//42WLVvi/fffx759+/Djjz8CAI4fP47bt29j5MiRdiWTE1i7L6JgMIiub9DorJZrk1JEY2gSkq2XxydlOIYuRSsaQzAIonUMeut1BL34PhNEYjgTsf0BSNsnotsReW1UruK39FC5WT+wOtProlBJmDhF5GOjS7H+2QWA1HiNSHmq1XIpdaS8h1I01u9vniLhPaaR8PnuG/OvaJ3s5r///kPNmjVRvnx5nD9/HpMmTUJgYCBu3LiBnTt34vvvv3d0itmSXm39vQ0Aeo31dsOgFf8MaeJF2jeRtgsA9Grxz5k2SW21XKcWz1Uv8jmTcowUiyGFQmX9WK2UcPxTJEl5fa0fN6S0XWK56rXi+0Nsv7p4iH/1VblZ345CnfGOhUGG1xYQ369SvouJvc/EXltAvG2S1r5Zf5/9EfKuaAyNhPdIish7REobSGSrH374AR9//DGKFy+O/Pnz4/DhwyhYsKDd8ezqxI8bNw4LFy5Enz59oHht1sCePXuibdu2b3UnnoiInNfkyZMxbNgwTJs2DUWLFjUu79GjB/Lnz485c+bA1dXVgRkSERFlcwqFPDPLO+ns9M+fP8fKlSvTLS9Xrhz++OMPNG/eHOvWrQMABAUFoW/fvjZvw65O/OXLlxEeHg4AJp340NBQ3L17156QREREDnf58mVMnDgRgGn75uXlBQ8PDzx79ixDv5wTERHleErlq4cccZxQXFwcfv31V7NlpUuXxvHjx41/Fy9ePOs68V5eXnj69CmKFi1q8iXn3LlzyJ8/vz0hiYiIHC6tfStXrpxJ+3b//n3Ex8cjICDAgdkRERFRdlesWDFERERk6jbs+nmjffv2GDNmDBISEozLTp06hX79+qFTp06yJUdERJSV2rdvjy+//BJPnz41Lvv3338RHh6ODz74AB4eHg7MjoiIKPvj7PSZz649M3v2bMTFxSFPnjwwGAwICAhArVq1EBISgmnTpsmdIxERUZYYNWoUQkNDUaBAAdy7dw9VqlRBmTJloFarsWjRIkenR0RElP1xdvpMZ9dweh8fH+zfvx8nTpxAREQEDAYDqlSpgjp16sidHxERUZZxcXHBhg0bMHbsWBw/fhxqtRply5ZF48aNoVKJ37WBiIiIKLPZ1YlPU7t2bdSuXVuuXIiIiLKFihUromLFio5Og4iIyPnIdRadZ+ItsnvP3LhxA1OnTkXPnj2Ny7Zv347UVPH7QBIREWVXjx8/xsyZM9GnTx88f/4cALB//37ExMQ4ODMiIiInwOH0Rvfv38fw4cNlj2vXnvn7779RqVIlHDt2zHiPOwA4fvw4Fi9eLFtyREREWem///5DmTJlsHv3bvzyyy9ITEwE8L8fromIiIikMhgM2Llzp+xx7erEjxs3DgsXLsRff/1lsrxnz55YsmSJLIkRERFltcmTJ2PYsGH4559/EBQUZFzeo0cPrF69Glqt1oHZERERZX+CQiHT7PQK8Y1lc6GhoXB1dcWFCxdkjWvXNfGXL19GeHg4AJjcRzc0NBR3796VJTFnpXRVQelmfrfq1RrR9fUiXxB1EmKI1dEmqUVjaJOsx9Akin+RFfQG0Tp6rXidjDJIyEOMUpXx4Txy5CGFlFxVrtbrKFXiB01BL0jOKTMZRPKQ632o1+itluvUOtEYyc9TrJaniHzuACBF5PnqBfHXRWOwXkdsG6+2I1rFKV2+fBkTJ04EYNq+eXl5wcPDA8+ePUPBggUdlZ5DuXp7wjWX+Vvs6ZLF2xXBYP1zJqV9E2tH9WrxS/qktIGaJOttnEHkeACIHzO0Eo4ZYqQchxUix3MpbYZYDED8+WZVrlnRvikkzHEp1vZI26cSvjeI5KpLEX+fib0XU+PFP5vql9Y/V81vnReNIeanwDKidcTaN0C8jZMSg0TwmnijFy9eoFKlSqhTpw46d+6MIkWKmEyUGxQUhL59+9oc165OvJeXF54+fYqiRYuafMk5d+4c8ufPb09IIiIih0tr38qVK2fSvt2/fx/x8fEICAhwYHZERETkTOLi4nDr1i2UKlUK58+fx/nzpj9oFS9ePOs68e3bt8eYMWOwdu1a47JTp06hX79+6NSpkz0hiYiIHK59+/b48ssv8dtvvxmX/fvvv+jduzc++OADeHiYPxNNRERE/0+hePWQI46TK1asGCIiImSPa9cYhdmzZyMuLg558uSBwWBAQEAAatWqhZCQEEybNk3uHImIiLLEqFGjEBoaigIFCuDevXuoUqUKypQpA7VajUWLFjk6PSIiouyPs9NnOrvOxPv4+GD//v04ceIEIiIiYDAYUKVKFdSpU0fu/IiIiLKMi4sLNmzYgLFjx+L48eNQq9UoW7YsGjdubHINGxEREZGYx48fY86cORbLCxQogNGjR9sc165OfIUKFXD58mXUrl0btWvXticEERFRttOsWTOsWbMGFStWRMWKFR2dDhERkdNJm11ejjjOLjU1FVeuXDFZptPpcPXqVbx48QJ9+vSxK65dnfioqCjExcXBz8/Pro0SERFlR0+ePHmrZ6AnIiLKMIUSUHJ2euDV3dv27t2bbnlqairCw8Px/vvv2xXXrj3Trl07LF++3K4NEhERZVft2rXDihUrIEi4VR8RERGRPdzd3TFq1Chs3rzZrvXtOhOfmJiIsWPHYvPmzShbtizc3NxMyleuXGlXMkRERI4UFxeHJUuW4ODBg6hcuTI8PT1NymfPno08efI4KDsiIiInwPvESxIbG4vY2Fi71rWrE69UKhEeHg4A0Gg00Gg0dm2ciIgoO9FoNOjYsSMAQK/XIzEx0aTcYDA4Ii0iIiLnwU680cuXL7F169Z0yx8+fIglS5bgk08+sSuuXZ34TZs22bWxt4FCqYTCwjUglpbbWkeMQaO1Wi5I+BJq0FsfSqpyE89TL+G3HYXB+nYEkTyciVIlz4FIobJ+z0ylUvyemio367NsK0XKs4qgl9BhEnmPaNU60RC6FAl1ROJokqx/7gAgJcn6h+Kjx1dFY4hZkru0aB2NyOdOrBwA9Dl0uPnChQsdnUKOJenzLELsRxQp29Br9KJ1VK7Wj9dStqMQOeZLaRMMMuwzObahtO/qSxNi7Y6kGCKvi5TtuHja9dXXZgYZ9hkg4f2stf5+To1LlRDD+nZSnieLxlBLaGszqvvzSNE63/uWEq2TIvKeH5d0Q3JORGKePXuGr7/+2mSZQqFAUFAQBg0ahHHjxtkVN2uOZERERERERJTzOfhMvCAIWLduHXQ6Hfr27WtSlpKSguPHj+PRo0coUaIEatasaTXWs2fPzJ5Jb9euHfLmzSuaS8mSJXH37l2b8pfCrk5827ZtLZa5u7vjnXfeQbdu3VCuXDl78yIiIspyAwYMwNOnT82Wubq6IiQkBB07duTtVYmIiCwQFAqZbjEnPrrUnHnz5mHixIlQKpUmnfiNGzdiwoQJeOedd1CgQAF89tlnKFmyJP744w94e3ubjXXv3j0MGjQIvXv3NpkHrlmzZnblJhe79q6vry+2b9+OO3fuwN/fHwEBAbh9+za2b98OQRDw999/o3Llyjhy5Ijc+RIREWWaoKAg7Ny5E1evXoWvry+CgoLw5MkTbN++HcnJybh06RLCwsLw888/OzpVIiIiesPZs2cxf/58fPbZZ+nK8uTJg9OnT+PAgQNYv349rl69iv/++w8zZ84Ujfvdd99h6dKlxkfRokVtyuv69esYO3Ys2rVrh+7du+O7775DUlKSTTFeZ1cnXqfTYfr06bh48SLWrFmD1atX49KlS/jqq6/g6uqK48ePY9KkSRg/frzdiREREWU1QRDQv39/XL9+HevWrcOKFStw4sQJrFu3DrGxsdi/fz9+/PFHs18OiIiICP8bTi/HwwYJCQno3Lkzli1bhqCgoHTlTZs2NVkeEBCA6tWrIzJSfL6FnTt3Yv369Th79qxNOQHATz/9hPLly+Ovv/6Cl5cXkpOTMXv2bJQpUwZRUVE2xwPs7MTv378fQ4YMSbd86NCh2L9/P4BXQxKvXLliV1JERESOsH//fgwaNAjKNyYZ7d69OyIjI5GcnIyuXbsiLi4OL1++dFCWRERE2ZhCId8DQHx8vMkjNdX8hI2ffPIJmjdvjhYtWkhKMzY2FseOHUPlypWt1vPw8MDGjRuxfft2NG7cGI0bN0Z8fLykbeh0OowYMQJLlizBhQsX8NNPP2Hr1q24d+8eKlasmG7SO6nsuiZeo9EgMjIStWrVMll+7do1407VarUIDAy0K6mMunXrFlavXo0nT56gQoUKGDBgQLp7/cqxDhER5Sxp7VvFihVNlj948ABxcXFITU2Fm5sb3NzcLF4/l5mePHmC5cuX4+7duyhevDgGDhyIgIAA2dchIiLKLkJCQkz+njx5MqZMmWKybM2aNbhw4YLkM+V6vR49evSAn58fPv30U4v1ChYsiMjISBQpUgQA8PjxY1StWhXjx4/HokWLRLdz9+5duLu7o1+/fibLPTw8MGbMGIwePVpSvm+y60x8t27d0KFDByxZsgRnzpzB6dOnsWTJEnTo0AHdu3cH8GrYQJcuXexKKiMuXbqEypUr4/bt26hQoQJWr16NevXqWb2XvT3rEBFRztOtWzcMGjQI3377LU6cOIFz587hxx9/RKNGjdCyZUv4+/vj119/RatWreDq6pqluUVHR6Ny5co4duwYKlWqhL1796JatWqIiYmRdR0iIqIMkXk4fVRUFOLi4oyPNy/Z1mq1GDZsGOrVq4e1a9di6dKlOHr0KHQ6HZYuXYpr166Z1DcYDOjbty/OnDmDvXv3ws/Pz+JTKViwoLEDDwD58+dHr169sHfvXkm7wsfHB7GxsUhMTExXdv/+ffj4+EiK8ya7zsTPmzcPgYGB+OKLL4zDCf39/fHpp5/iiy++AAA0adIk3ZmMrDBu3DjUrl0bGzduBAB8/PHHCA0NxY8//oj+/fvLtg4REeU8Y8aMgbu7O2bNmoWxY8cCAHLlyoV+/foZh7yVL18eH3zwQZbnNn36dPj7+2PXrl1wcXFBv379UKJECcydOxfTp0+XbR0iIqKMEBRKmWanfxXD19cXvr6+FuspFAp069YNBoMBFy5cAPDqR2y9Xo8LFy6Y3DEtbe6bP//8E4cOHULJkiVtzsvDw0PyJXX58uVD9erV0apVK3z99dcoV64cUlJSsH//fowaNcruttiuvevq6oopU6YgJiYGjx49wuPHjxETE4MpU6YYz0xUrVoVLi5Zext6jUaD/fv3o1OnTsZlefPmRcOGDbFr1y7Z1iEiopxr2LBhiI6OxvPnz/HgwQMkJibi+++/N/5aXr58eXh5eWV5Xrt27UK7du2Mbaunpyc+/PBDq22VPesQERE5ExcXF5OZ45cuXYrw8HC4u7tj6dKlqFOnDoD/deB3796NgwcPonTp0uliPX36FEuXLjXebvbWrVsm5VqtFr/++ivee+89yflt3LgRvr6+qFu3LvLkyYPg4GAMHjwYI0aMwMCBA+17znat9Zr8+fNnNIRs7t+/D61Wi9DQUJPloaGh+Oeff2RbBwBSU1NNJlWQOrkBERE5hzx58jg6BSOtVouoqCizbdW6detkWwdg+0ZERBlkx8zyFuPI6Msvv8SqVaswfPhw/P333/j7778BvDpb/tFHHwEAbt++jUGDBqFSpUrImzcvNmzYgAMHDqBhw4ZwcXHB5s2bERcXh82bN0vebsGCBbFz505ER0fj5s2b8PLyQqlSpeweSg/Y2Yk3GAxYvHgxVq1ahdu3byMuLg4A8Pnnn2PYsGEIDg62O6GMSElJAYB0kw35+PgYy+RYBwBmzpyJqVOnpluuUKqgUKpsyvt1gsFg97pplG7Wr9N08XATjaFQWv/QGLQ60Rh6jV68jtb68zVIiOEsDHpBtI5SpRCtoxCpo1CJH/CkbEc0D2XGYwgG6/tEL+HlF/QZ/8yIvQ8BQKe2/p7XJmpFY2hEnu/aPGUyHEMviL/PpNQRo1Jk/PXPrjZv3ozvvvsON27cwIULF1C4cGHMmTMHjRo1Ep3BNrOo1WoAtrVV9qwD2Ne+ibUZgLRjkxiVq/WvLQYJ7ZurhGOGWFuschNv58XaQDmOw1LaFZWb9f0uSIghVy5ixI7nLp7iX1vFXhuVq/3f0WyhUFp/LlLaHSnEXj+xdhYQ/66lTRVvjMXaJjl871tKtI6U9i0nt1/ZhaBQQJBhP2ckRvny5dNNJhccHIyBAwdCrVYbh90DwDvvvGP8f758+TBw4EDky5cPADBp0iS0bNkSe/bsQUJCAkaNGoXOnTvDw8PD5pwKFSqEvHnzwsXFBYoM7h+7OvHz58/HggULMHbsWJNbzZUuXRpfffUVli1blqGk7JU2KcGb1yjExMRYnLDAnnUAYPz48Rg1apTx7/j4+HQzJxIRkXP57bffMGTIEIwfPx6zZ8+G4f87c1WrVsW4cePw559/OiQvLy8vuLi42NRW2bMOwPaNiIicX/369VG/fn2TZZ988onoekWLFsXSpUtNllWrVg3VqlWzOxe1Wo25c+dixYoViIqKgpubGypVqoRJkyZJvh3em+z6WXzp0qX45ZdfMHjwYJPlTZo0we+//25XInIICQlB7ty5092f/vLly6hQoYJs6wCAu7u7cZIFsckWiIjIOSxduhSLFy/G6NGjTa57r1u3Lo4ePYqEhASH5KVUKlG2bFmb2ip71gHYvhERUcYIgnyPnKBr165YsmQJhgwZgp07d+Knn35C5cqV8eGHH2Lr1q12xbSrE3/v3j3jF4DXhwLkypXLodfOKRQKdO7cGatWrTJ+0Tp+/DhOnz5tcru7VatWGW9NIHUdIiLK+Sy1byqVCi4uLkhKSnJUaujSpQu2bNmChw8fAgBu3ryJXbt2mbRV27dvNxk+KGUdIiIiORkEQbaHs3v8+DF27NiBo0eP4rPPPkPLli3RoUMHLF68GDNmzJB0r3lz7OrEFylSBGfPngVg+iVn69atZmf5y0ozZsyAj48Pypcvj5YtW6JZs2YYOXIkmjZtaqxz4sQJ7Ny506Z1iIgo57PUvu3btw8uLi7Imzevo1LDiBEjUL16dVSqVAmtWrVCzZo10apVK/Tt29dY5/Lly9i0aZNN6xAREVHmEAQBBQoUMLnXfJratWsbL9uzlV3XxI8aNQo9evTAjBkzAAB///039u7di/nz5zvsevg0/v7+OHnyJI4dO4YnT57gu+++S/fDQr9+/dC2bVub1iEiopxvxIgR6NmzJ9RqNVJTUxEREYFNmzZh1qxZGDVqFJQSJnDLLO7u7vjjjz9w+vRp3Lt3D1999RWqVKliUqdt27YoUaKETesQERHJSfj/hxxxnF2BAgXg5uaGI0eOoG7duiZlP//8M8LCwuyKa1cnfuDAgdBoNBgxYgQMBgPq16+PwMBAfPvtt+jRo4ddichJpVKl20mvq1Wrls3rEBFRzteiRQssXLgQ48ePR3R0NDp27AgfHx+MGDECEydOdHR6AIAaNWqgRo0aZsvKly+P8uXL27QOERGRnAzCq4cccZzd8+fPUaVKFTRu3BgffvghypYti5SUFBw6dAgXLlzAF198gVmzZgEAgoKCJI+Us/s+8cOGDcPQoUPx4MEDGAwGhISEOPQMBRERkRzCw8MRHh6OR48eQa1WIzg4GK6u1m/dSURERPSmuLg43L59G++++y7u3LmDO3fuGMsqVqyIXbt2Gf8uXrx45nfigVfXC/K2M0RElBMVKFDA0SkQERE5HUEQIMgwKZ0cMRytWLFiiIiIkD2u5E7869eQi9m2bZsdqRAREWW9AQMG4OnTp5LqLl++3KGT2xEREWV3HE6f+SR34l+fUS8mJgY//fQTypcvb7zx/ZkzZ3D16lV0795d9iSJiIgyS3BwMHLlygUASE1NxfLly1GkSBG899578PDwwKVLl3D69Gl8+OGHcHHJ0AA2IiIiegvp9XrcvXsX0dHRJjPSe3l5oXr16jbHk/xtZP78+cb/d+nSBVOmTMHkyZNN6kydOhX//fefzUmQdAqV+LwDLh5uVsulzF2g1+qslhu0WtEYgl78lglidQwSYohuw85bN9i8HZFc9Rp9luThTAx66z+xCiLlAGAQ+ZlWSgwp71W9RuS9KmHIl1gqehliaCT8bC1HjC+Sb4jWcRaTJk0y/n/ChAno1asXli9fDpVKZVy+du1arFixAgEBAY5IMVsQDHoIBvPHMSnHWZXIvAIGV+vtzqs61r+2KN3E5y5we+11tZeUNtCgsf583H09xWOIHJvkaN8UEr4TGES+EwCATm29jpQ2UKGy/vqqXDM+95KU7xVKke9aUmLotSKvnQzfkQDx/SrWzgKAJsn6+1lK2yTWbiz3F7/rk1gMKXlI8Vki+ypZgSfR/+fUqVPo2rUrbt26la6sXLlyuHLlis0x7Toa7t+/H8OHD0+3fPjw4di/f789IYmIiBxu//79GDZsmEkHHgB69eqFyMhIJCcnOygzIiIi55A2nF6OR07QvXt39OzZE8ePH0e5cuXw4sUL/PLLL8ifPz9++OEHu2La1YnXaDS4du1auuVXr16FRqOxKxEiIiJHs9S+RUVFIT4+nm0cERERSfb48WPExMRg4sSJ8PX1hU6nQ0BAADp27IiZM2diwYIFdsW16+K+nj17okOHDpg4cSKqV68OQRAQERGBr7/+Gr169bIrESIiIkfr2bMnBg0ahAcPHqBOnTpwc3PDlStXMGPGDHzwwQfInTu3o1MkIiLK1jg7/f+8ePEC+fPnh0KhQEBAAJ49e2YsK1OmDBYuXGhXXLs68XPnzkVQUBC+/PJLxMTEAADy5MmDkSNH4vPPP7crESIiIkcbOXIk3N3dMWPGDGN75uXlhYEDB2LatGkOzo6IiCj7M/z/Q444zu71HyLy5csHDw8PrF69Gm3atMGyZctMJo+3hV2deBcXF0ycOBETJ07EkydPjEkRERE5u8GDB2Pw4MF48eIFUlNTUaBAASgUCkenRURERE4md+7caNGiBYBXk4vPnz8f3bt3R9++fZEvXz78+eefdsWVfE38hQsXzC7Ply9fug68pbpERETZzbVr18xe654nTx4ULFjQpANvqS4RERG9IgjyPZzVixcvcPLkSQQHB+Pbb781Lu/YsSOePXuGy5cv486dO6hYsaJd8SV34itXriw5qC11iYiIHKlly5Z4+PCh7HWJiIjeRpyd/tWEdrVr10b58uUxb948PH/+3Fjm4+OD8uXLw9NT/Fajltg0nH7MmDF2b4iIiCi7mjFjBnx9fUXrvXz5MguyISIiImdWrlw5nDp1CqtWrcKUKVMwbtw4fPjhh+jXrx8aN24MpdKum8QZSe7EN2vWTPKN6Js1a2Z3QkRERFmpXr16uH//vqS6tWvXztAv50RERDkdZ6d/pUaNGqhRowbmzZuHLVu2YNWqVWjWrBlCQ0PRu3dv9O7dG4ULF7YrtuRO/N69e+3aAP2PQiX+i4uLh7vVckEvPk+jUmQ7Bg/xGC4i25GSh0GrE60jFsdgEN+OWAxBrxeNIboNCXkYNNafr0KV8f0hhaAXP+AZxPaZDOOXDFLy0Fh/bfQi5YD485Ujxqs61veZXoaGRkIasmyHTP3444+OTsHpKSScURBrAyW1kZ5uGSoHAF1Kxuc0yC7tmxRibaCk9k3CayMHKe2GGL024/tMjhhi7ZuU5yolD7H2SyyPVzHE2jfREFkiu+RB4jg7valcuXKhZ8+e6NmzJ27cuIHVq1dj2bJlmDZtGnr06IE1a9bYHDNrjspEREREREREb7ESJUpgwIAB6N27N1xcXBAREWFXHHbiiYiIiIiISBYCZJqd3tFPREYpKSnYsGEDGjVqhGLFimH9+vUYN24cdu3aZVc8u+4TT0RERERERPQmgyDAIMPlf3LEcLSIiAisXr0aGzduRHJyMtq0aYPdu3ejadOmGZrcjp14IiIiIiIiIpk8fPgQLVq0wKVLl1C2bFlMnDgRPXv2RGBgoCzx2YknIiIiIiIiWQiQZyi8M5+HT0pKQrVq1bBkyRK89957sse36xy+wWDADz/8gMqVK8PPz8+4/PPPP8eDBw9kS46IiCirbd68GTVr1kRAQIDx1nNz5szB+fPnHZwZERFR9mcQ5Hs4qxIlSmDVqlWZ0oEH7OzEz58/H3PmzEH//v0RHx9vXF66dGl89dVXsiVHRESUlX777TcMGTIEnTp1gouLi/E2YFWrVsW4ceMcnB0RERGRnZ34pUuX4pdffsHgwYNNljdp0gS///67LIkRERFltaVLl2Lx4sUYPXo0vLy8jMvr1q2Lo0ePIiEhwYHZEREROQE5ZqaXa0x+DmXXNfH37t1DhQoVAAAKhcK4PFeuXCZn5omIiJyJpfZNpVLBxcUFSUlJ8PHxcVR6RERE2Z4BAgwy9MDliJFT2XUmvkiRIjh79iwA0y85W7duRenSpeXJjIiIKItZat/27dsHFxcX5M2b11GpERERkZO5c+cOevToIXtcu87Ejxo1Cj169MCMGTMAAH///Tf27t2L+fPnY9myZbIm6HSUqlcPc0Wu4rtbobL+u4qUGAatzmq5oDeIxtBrtRmOIZYHABhE4hg0EmLI8nzFtyNG7LVT6O2/F+TrDBq99XJJz9d6HSn7TIygF//11CBSxyBhRhO9yP4QJMQQy0NKHY2E7YjVkZCGaB0pMcTy0Eq4L+sE92KidWak3hJPJpsZMWIEevbsCbVajdTUVERERGDTpk2YNWsWRo0alaF7uuZkKg830TpKN+vtl5T2TZuUYj2Gynz7a+t2xOjUmgzHkKMdlSUPg3geYu2bFAqlQrySyAFMrO0CxPerlLZJjJQ2QywPOdo3ANBrrdcRKweypn2TEkO8fct4DACY4lncennKTfEgZJVxOLwMcZydSqXCkSNHZI9rV0s2cOBAaDQajBgxAgaDAfXr10dgYCC+/fbbTPmlgYiIKCu0aNECCxcuxPjx4xEdHY2OHTvCx8cHI0aMwMSJEx2dHhERUbYn18zyzjw7fZrChQvDz88P//zzD+rUqSNbXLt/jh42bBiGDh2KBw8ewGAwICQkhGcoiIjI6YWHhyM8PByPHj2CWq1GcHAwXF1dHZ0WEREROZnHjx+jcOHCaNSoEVq1aoUiRYpA9dqosQIFCmD06NE2x83QmDKFQoGQkJCMhCAiIsqWChQo4OgUiIiInA6H0/9PamoqtFotGjZsiJSUFERGRpqUJyYm2hVXcie+bdu2koNu27bNjlSIiIiy3oABA/D06VNJdZcvX87J7YiIiKzg7PT/Exoair1798oeV/L49yJFihgfvr6+2L59O27dugV/f3/4+/vj5s2b2L59O3x9fWVPkoiIKLMEBwcb27cCBQpg586duHz5Mnx8fBAUFIRHjx5h+/btAAAXl4xPikZERESUEZK/jcyfP9/4/y5dumDKlCmYPHmySZ2pU6fiv//+ky05IiKizDZp0iTj/ydMmIBevXph+fLlJtesrV27FitWrEBAQIAjUiQiInIaHE5vSqfT4bvvvsO2bdvg5eWFffv2QaPR4IsvvsDMmTPtOkFg10x0+/fvx/Dhw9MtHz58OPbv329PSCIiIofbv38/hg0bZtKBB4BevXohMjISycnJDsqMiIjIORgEQbZHTjBixAisWbMG77//Ph49egQAcHNzQ0pKClavXm1XTLs68RqNBteuXUu3/OrVq9BoMn7PUiIiIkew1L5FRUUhPj6ebRwRERFJlpqaijVr1uDQoUPo1auXSVmLFi3wyy+/2BXXrov7evbsiQ4dOmDixImoXr06BEFAREQEvv7663TJEREROYuePXti0KBBePDgAerUqQM3NzdcuXIFM2bMwAcffIDcuXM7OkUiIqJsTW949ZAjjrOLiopC/vz5kT9/fsTExJiU+fn54eXLl3bFtasTP3fuXAQFBeHLL780JpMnTx6MHDkSn3/+uV2JEBEROdrIkSPh7u6OGTNmGNszLy8vDBw4ENOmTXNwdkRERNmfXEPhc8Jw+nz58uHJkyd4+fIlFAqFSdmuXbtQokQJu+La1Yl3cXHBxIkTMXHiRDx58sSYIAEKdw8o3D0sloky6K0WK920GY5h0InHcBH56cug1YmnoRGvo9daz0WvEh+6qldZvypErxaPoRL5KOj01vdpVjKIvDaCQfyAJ4jE0Gsy/tOn2DYAwCCSq14jvt/F6kiJIRjEcxX0md+QqBTy1MkovYRGU0qdT1VFrZYv0N+RnFNWGjx4MAYPHowXL14gNTUVBQoUSNfwvo2Unl5Qelpox5Qq88tfI2itH4uVLuJtk9It43cHkBJD7PildM14HrpktWgdhUj7JuU4q4f1tlhQS4ghoT0XoxR5LgCg12a87RFrv/RaCW1CFhzvpbRNmiTxz4TYe8Ag4bnI8XxVIsdIaW1XxvOQ0jZRzvfixQt069YNALBnzx6Tsri4OMyZMwcREREICAhAv3790KBBA6vx7FknjY+PDzp16oSOHTuiR48e0Ol0OH36NH755RcsWLDA7vnkMtwKsfNOREQ5UZ48eRydAhERkdMxCIIsP6jYeya+T58+uHv3LqKiokyWa7VaNGzYEK6urhg9ejSuXLmCJk2aYNu2bWjdurXZWPas86ZFixZhxIgR6NevH7RaLWrWrImgoCCsXr0adevWtes52tWJb9u2rdXybdu22ROWiIjIoQYMGICnT59aLF++fDny5s2bhRkRERE5F4Mgz1B4CYNL0/n++++RkJCAwYMHY/z48SZlmzZtwuXLlxEdHY2goCB07NgRDx8+xLhx4yx2yO1Z53WpqamIjo7GsmXLMHfuXNy8eRNubm4oVaoUdDodbt68ieLFi9v8PO2anT44ONjkUbBgQSQlJWH79u3w9va2JyQREZHDFShQIF0bZzAYsGvXLgiCYNe9XImIiCjznT9/HrNmzcK6devMXgb3119/oXbt2ggKCjIua9u2La5evYqHDx+ajWnPOq+7ceOG8QS4t7c3KlWqhLJly0KlUpmU2cqubyM//PCDxeXnz5+3KxEiIiJHmzp1qtnlu3btwrx58xAQEJDFGRERETkXuWenj4+PN1nu7u4Od3d3k2WJiYno3LkzFixYgODgYLPx7t27l66sUKFCxrKCBQvKso5UCQkJdp8Al/WUQo8ePTBjxgw5Q9olJSUFV65cgYuLC0qXLg1PT0+r9a9du4b79++bLPPx8cH777+fmWkSEZGTaN26NXr37o2UlBTRNiUzabVaXLt2DampqShTpgx8fHys1r9z5w6uX79usszFxQWNGzfOzDSJiOgtJvfs9CEhISbLJ0+ejClTppgsGzx4MN577z107NjRYjyNRpOuDc+VK5exTK51AODRo0eYPn06YmJi8OjRIwwdOtSkXKvV4p9//pE8Qd6bZO3E37592+qTyWyCIGDChAlYvXo1QkNDkZycjCdPnmDx4sVWX9AFCxZg27ZtqFSpknFZkSJF2IknIiIAwNOnTxEfHw+dLuOzdNtr3rx5mDt3LgIDA+Hi4oLr169jxowZGDZsmMV1Nm/ejJkzZ6J27drGZZ6enuzEExGR04iKioKvr6/x7zfPwqempuKnn35CtWrVUL9+fQBAdHQ0UlJSUL9+fYwaNQpt2rSBv78/Xrx4YbJu2t/+/v5mt23POsCrTvqDBw+QkJBg/P/rPDw8EB4ejhEjRlh+4lbY1YkfN25cumUvX77E77//jg4dOtiViBwEQYCfnx9u3bplHJrwzTffoHv37njvvfeMQx/MCQsLw6+//ppVqRIRUTY0e/ZsvHz50mRZYmIidu3ahQYNGoie+c5MgiDgwoULCAwMBAD88ssv6Ny5M2rVqoXq1atbXK9EiRLYu3dvVqVJRERvOb1Ms9OnxfD19TXpxL/J1dUVhw4dMln2+++/Y/ny5ZgyZQpKliwJAKhcuTI2bNhgUu/MmTPIlSsXSpUqZTa2PesAQOHChbFt2zY8fPgQy5Yts3i5nr3smtguIiIi3SMmJgYTJ07EggULZE3QFkqlEuPGjTO5tqBnz55ITU3FxYsXra6blJSEI0eO4OLFi1Crxe/dSkREOc/ly5fTtW/R0dHo378/tmzZ4tDcRo0aZezAA0CnTp3g4eGBM2fOWF1Po9Hg2LFjiIiIQFJSUmanSUREbzkD0maoz+BD4vaUSiXq169v8ihRogRUKhXq169vvG69e/fuiI6Oxrp16wAAsbGxWLx4MT7++GPj2f1r166hfv36uHbtmuR1rClYsKDsHXjAzjPxU6ZMQVhYmNmyo0ePWixzhOPHjwOA8RcYS44cOYK4uDg8fPgQycnJWLJkCdq3b2+xfmpqKlJTU41/vznhAhEROZ8RI0agQoUKZhvmiIgIi2WOcP78eaSkpFg9EwAA169fx6hRoxAXF4fo6GjMnj0bgwcPtlif7RsREeVEZcqUwYoVKzB48GB88803ePDgASpVqoS5c+ca68THx+Pvv/82tn1S1pEiKSkJV65cQXR0NAyG//084efnhyZNmtj8XBSCYPtYB4VCAUurWSuzR9p9+aypW7eucYKB1z169AjVq1dH48aNsXbtWovr7969G++//z78/PwgCAKmTZuGmTNn4uLFixa/HE2ZMsXsrypPty2Cr5f5SY8EgwzTNOrE5xwQ3Y6UGHq9SAytaAyDlDoa69eX6tXiuerUqVbLDVrxa1h1Kda3IymGSK4Grfj+EMsDAPRq63EMEqYD1alF9rtGPIZea/09IuhlGEalEXkfAtAkiewPCTHEngsAaBKtb0cjIUaKyD5JkfDaiccQ3+9i21FLuDGrRoY6C/R3rJbHx8fDz88PcXFxVofRyalIkSI4fPgwihQpYlOZPW7evImbN29arVO9enXkyZMn3fLExES8//77CAgIwMGDB83eSgcADh8+jFKlSqFAgQIAgLVr16JPnz44cOCAxcl0LLVvT7bMhW8uC5P6KVVWn4cUgkbCKDiDyHFHwnFWUi4i7aSUNkEQ+ZxJa1est2/aJPF9JtaOirVdAGDQiO9XsVzE2i5AvP0SJBx3dCnW96tWpP0DxNuerGrfxNrqV3Gs7zMpMTTJ1l8bKcOinaV9AwCtyPOR0r7N1twWrWONI9q3rJD2vLZG3ISXd8YvP0tKTED7asXt2k/R0dG4ffs26tSpYzbPa9euISAgIN2J3vj4eJw7dw5VqlQx2aa1dcQcOHAAXbt2RUxMDPR6PVQqFbRaLZRKJWrWrGk86WwLWSe2i42Nlf16wb/++gv79u2zWqdixYrpOvHPnz9H06ZNUaJECSxZssTq+i1btjT+X6FQ4Msvv8T333+PXbt2WezEjx8/HqNGjTL+HR8fn27mRCIiyhkMBgPi4+Nl/bJ18uRJrF+/3mqdWbNmpevEp6Sk4MMPP4Rer8eWLVssduABGCf4SdOrVy/Mnz8fv/32m8VOPNs3IiLKCEGm2ekzcmK4UKFCFudD8/X1Ra1atSyWvdl2iq0jpnfv3pg0aRLCwsLQpUsXXLx4EUeOHEHPnj0xadIku2La1Inv1q2b2f8Dr77gXLlyxe4nZ8no0aMxevRom9Z58eIFGjdujICAAOzatcvm2wEplUrkzp0bjx49sljH3P0JiYjIOY0cORLPnj3D8+fPMXLkSHh5eRnLBEHArVu3EBgYKOt94rt165auLRWjVqvRpk0bPH78GIcOHTK5Rl6qgIAAtm9ERERZ4OHDh0hNTcXgwYNx7do1aLVaqFQqNGjQAN988w0WL16M5s2b2xzXpontXFxc4OLiYvL/tIeXlxfCw8NFzypktpiYGDRu3Bh+fn7YvXu3yRexNFevXsWxY8cA/O/sypvl9+7dM7nlHBER5VwqlcrYvqX9P+3h4eGBJk2a4M8//3Rojmkd+IcPH+LgwYPImzdvujq3b9/G/v37jX+/OdP+kydPcPbsWbZvRESUafSCfA9nFxMTg6CgIABAYGAgnjx5YrwmvkiRIqKXjVti05n4tOvKAwMDMWfOHLs2mJk0Gg2aNGmChw8fYuLEifjnn3+MZeXLl0dwcDCAV/faPXnyJK5cuQK9Xo8aNWqgS5cuKFeuHO7fv485c+YgLCwM4eHhjnoqRESUhdLatJIlS2LQoEFW7/3qKB07dsTx48exePFinD9/3ri8WLFiKFGiBADg559/xqxZs5CYmAjg1eVi9erVQ5UqVRATE4N58+ahUKFCGDJkiEOeAxER5XwGmYbTyxEjOwkKCkJAQADmzp2LDz74AN9++63N19enseua+OzYgQdenaUICgpCUFAQVqxYYVI2cuRIYye+fPnyxjMurq6uOH78OJYuXYpNmzbB398fs2bNQteuXaFU2nUHPiIiclITJkxwdAoWubi4ICwsDD///LPJ8i5duhg78cWKFTOZ5fbAgQNYsWIFfvvtN3h6emL48OHo168f3NzcsjR3IiKit1GePHnQpUsXAK/mXluyZAk+/vhjjB07FsWKFcPu3bvtiit5dvrOnTsDADZt2mT8vyWbNm2yKxlnljYbI2en/x/OTv9mDM5ObyvOTm9PDM5Ob6thw4bh2bNnWLhwIaZNm4Znz55ZrLtw4ULjsLi3RdrrwNnpX0uDs9PbnAtnp7dtGwBnp7e1XOp2ODt95kl7XutPXEcuGWanT05MQLfapZxyPyUmJuLFixcIDQ1NV2YwGPD06VPky5fP6uS01kg+E+/t7W32/0RERM7My8sLKSkpUCqVxv9bwhFaRERE1nE4PXD37l1UqFABRYsWRcOGDdGwYUM0aNAABQoUgFKpRP78+TMUX3InfuXKlcb/9+rVC2FhYWbrHT16NEMJERERZaVZs2YZ/9+hQwdUqFDB7OzsERER/BGbiIiIRJUqVQp79uzB4cOHcejQIaxduxZ6vR6lS5dGgwYN0LBhQ9SvX9+uu8wANs5On6ZOnTp2lREREWVnHTp0sHj7NWtlRERE9Apnp38171rz5s0xa9YsnDp1CjExMdi1axdatWqFU6dOITw8HHnz5kWbNm3sim/XxHaWxMbGwscn49c/EBERZSdptyN1tmvyiIiIshqH06fn6+uLVq1aISwsDPXr18e2bduwbt063L5t3/wKNnXiu3XrZvb/wKsvOFeuXEGtWrXsSiSnUPoGQOmdy3yhDBPbiU22I2U7glbCxHYik9JJmYBIJSFXpZv17ag8xGOo1NZnWZYyOZ7S1fpHQcrEPwqV9YEtOnXWXEurkDBZkriMT9qkl/DzqZRJ+MSoXDO+Xw0SclW5WZ+4y1VCDI3IpFxykDIBkQxTbMpiiLKI1XKNkHWZjhw5Es+ePcPz588xcuRIeHl5GcsEQcCtW7cQGBiIgICALMspu1EF5IfKy3z7Jkvb5OFltfxVDJEJxyRMqCppcleROEoJn2WxSfYMEtpRsbZJ5eoqGkOTkGS1XCFhngeDSB5SKEXaSEC8rZUyoZzY8VwlIYbY5HjZiVJl36RYr1O5iLw2OvFjsUqR+Z0tudo3sYnrpExsN9KlqNXyeTrrE7fS2yMxMRFHjx7FoUOHcOjQIZw/fx4lSpRAvXr1sG7dOtSrV8+uuDYdldNuy/bm/4FXQwbCw8PRv39/uxIhIiJyFJVKZWzXXv9/2t9NmjRBnz59HJUeERGR0zAYBBgk/BgiJY6zio6ORocOHXDu3DmUKlUK9erVw9ixY1G3bl3kzZs3w/Ft6sSvXbsWABAYGJht7xVPRERkq7Q2rWTJkhg0aBD8/f0dnBEREZFzMsh0PbsT9+ERFxeHkydPokKFCmjXrh3q16+PWrVqwcPDQ5b4do2PYgeeiIhyogkTJjg6BSIiInJyZcuWxd27d43D6FevXo2nT5+iVq1aqF+/foY79XZf5JScnIyTJ0/i/v370OlMrx3q16+fvWGJiIgcSqfT4cSJE7h79y5SU1NNyjp37szbzBEREVnBie1eCQ0NRa9evdCrVy8AwK1bt4yd+hUrVuDFixfo2LEjfvrpJ5tj29WJv3jxIlq3bo3ExETExsYiX758ePLkCQCgcOHC7MQTEZFTio6ORpMmTRAVFYWUlBQEBATg+fPnEAQBBQsWRPPmzdmJJyIiskIvCJImIpQSJycpWrQoYmNjERsbi7i4OPz11184f/68XbHs6sSPGjUK3bt3x4wZM6BQKPD48WPcu3cP3bp1Q9OmTe1KhIiIyNEmTZqEqlWr4tKlSyhevDgOHz4Mb29vDBgwAP7+/ggODnZ0ikREROQEBEHApUuXjGffjxw5gtjYWAQGBqJevXqYN28emjRpYldsuzrxZ8+exZYtWwAACoUCGo0GoaGhWLVqFRo3bowvv/zSrmSIiIgc6ezZs1i9ejVcXFygVCqh0WgQGBiIn376Cfny5cOiRYtkm5SGiIgoJ+Ls9MDt27dRvXp1xMTEIHfu3Khbty6mTJmCBg0aoEKFClAoMnZ7SLs68XFxccZ75QYFBSE6OhpFixZFgQIF8PTp0wwlRERE5CixsbHp2reSJUvCy8sL7u7uiI2NRf78+R2cJRERUfalhzyz0+szHsJhPDw8MH78eDRo0ACVK1eGUqmUNb7dE9ulCQsLw5dffomhQ4fixx9/RLly5eTIi4iIyKHCwsIwY8YMeHh44K+//oJCoUC+fPkcnRYRERFlcwULFsSYMWMyLb5dnfgvvvjC+P/Zs2ejY8eOqF27NkJDQ7Fp0ybZkiMiIspKw4YNQ+7cuQEA48aNQ6dOnRAWFoY8efJgzZo1GR7+RkRElNNxdvrMZ1cn/uuvvzb+v3jx4jh//jzUajWvEwSg8s8LlY+FmYsFg3gAg/WBI4JBQgydxnoMrVY0hCAWQ6MWj5EqoY5IHEEnnqvCJclqudJNPA+lm/WPgtJV/KMieFl//+vV1vcpAGiTxHNVeViPo1enWi0HAINGZ7VcqRKPoXJTWc9DIz4ISq+x/n7Wa8VjKFRinSrrzxUABL2UIU7W3wOCXvyz6Sby+fVUSclDZJ8JGY8hhTyzzoqUZ3gLths9erTx/0FBQTh06BDbt/+nyh0IlbeX2TJZ2ia9hFdcbDsibSgAGNTW2wxAQjsp8lwA8fZLIaEdVYq0owpVsmgMMSoPN9E6Ym0GIN5OSmkDlckpGc5DrE1QirYZ4qQc7/Va63XE2y5pxLajktCOim5Dl/E2QyXhB1BP618roDGIx5AyhFsjmot4ELHtfKIoYj0HGdrh7Iyz02c+2Qbnp33BqVatmlwhiYiIHC6tfWvTpg0ePXrk4GyIiIjobZfha+LfdPbsWblDEhEROdylS5eQmio+SoWIiOhtZjAI0L/ls9NnNtk78URERERERPR20svUiZcjRk4l71z3RERERERERJRpeCaeiIiIiIiIZMEz8ZnPpk58+fLlMysPIiIih2nWrBmio6Ot1nn48GEWZUNEROS89AZ5OuASbgTx1rKpE9+8eXNZ6hAREWUn9erVQ0xMjNU6zZs3h5+fXxZlRERERGSeTZ34OXPmZFYeREREDjNhwgRHp0BERJQjcDh95uM18URERERERCQLduIzHzvxMtN7B0Lv7WO+UBC/sEMhVsegE48hUkdhEM9Dqddar6ATv1eyoFGL1jGkJFmPoU4Wj+HmYbVcISEPlZfGarmrVmR/ADCIbEevtr4NAHDJZf25AIBBa/311UnYjlgu7hrx95leJA+DhH2mS7Geh9hzBQCdWmR/pIjH0IrEAABtovXn4+Ipfjh1FcnFI0n8tfNO1Vst91SJf74TdQqRcgnHCNEaAJDBi9kEBcD2O9sweAfB4ONtfwC9+PtbjHgbKf6ec5HSfmmt1xFSU8RjiLQJhqSEDMdQuIu3GWLtm0FCOytIuDDVTaRd0anF97sm3nouUvIQa9+k5OGWZH2/CxLeZwaN9WO1Xmu9HJDWfulFtqNVu2V4O6pY8e9Rbhrr+8RbJE8A0IjsE5XCetsFSGu/VCJhxMqlbMdNKRKE7RtlEDvxREREREREJAuDTGfiDTwTbxE78URERERERCQLvSDTcHqBnXhLpI2IJCIiIiIiIiKH45l4IiIiIiIikgUntst87MQTERERERGRLNiJz3wcTk9ERERERETkJHgmnoiIiIiIiGShMwhQyXAWXccz8RaxE09ERERERESy4HD6zMfh9EREREREREROgmfiiYiIiIiISBYGmc7EG+yMER8fD19f33TLExISkJSUZHad/Pnzm12u0+nw/PnzdMvz5MkDV1dXu/KTAzvxMjN45YHBO/2bBgAgGMQDCCJvVgkxFAad9Qpi5QAUepE6eq2EGBrROkof63UUulTRGEJqski5WjyGxnodQSf+XMS246I2f9B4nZtIHgAgaK3veym5GrTWX1+9WjyGXmM9D0kxZMjDoLEeQ6cWfw9pk8T3u15t/flq1eKfK12K9TqaJPHnmxpvvY6nhBh+idafS5yE5xKnFT8Weeqs10nSWy9PFRSA+MtHWUTvHQi9j4X2zaDPcHyFpDZSpI6E45+k7Yi0cQqd+DFDqbX+5lUFiH/OxNo3Q1K8eAydSJshQxsJAC4iddxSxNtAzyDrr59Y2yWljjYpRTyGaLuS8XZWSgwpdCLPR0r7phM55us13qIxNEnW32di7R8AqF9azzWXhLZJK9K+AcDzVOtxYjTixzMvlfXBzHqRr/NqwQCIvzROSy8I0Iv1aSTGkSouLg7ffPMNVq5cCbVaDZ1Oh/DwcCxYsADe3q/ew99++y2WL19usl5sbCzc3NwQH2/+eHrhwgVUr14defPmhUKhMC7fvXs3qlSpYsezkgeH0xMREREREZHTOnXqFPLly4fIyEjExcXh0qVLOHz4MEaNGmWsM23aNDx+/Nj4iI6ORmBgILp06SIa//r16ybrOrIDD/BMPBEREREREcnEERPbNW3aFE2bNjX+XaxYMTRu3BhXrlyxuM6ff/6J6Oho9O/fXzS+RqNBYmKi8ay+o/FMPBEREREREckirRMvx8NWz549Q1RUFHbs2IFt27ZZ7aCvWrUKlStXRtWqVUXjhoaGIjAwECEhIfjhhx9szktuPBNPRERERERE2dKb16u7u7vD3d3dbN1mzZrh9u3biIuLQ79+/dCtWzez9Z49e4adO3fi+++/t7ptT09PLF26FN27d4e7uzt+/fVXdO/eHW5ubhgwYIB9T0gGPBNPREREREREspD7THxISAj8/PyMj5kzZ1rc9rlz5xAbG4vIyEgcPXoUvXr1Mltv3bp1cHV1Fb0evly5chg4cCBy5coFlUqF8PBw9OzZE0uWLLF7/8ghx3XiR40ahdy5c5s83nvvPdH1Vq9ejYoVKyJ//vxo0qQJzp8/nwXZEhERSTN//vx07VtwcLDoejt37kTNmjWRL18+vP/++zhw4EAWZEtERG8rvWCA3iDD4//vJhIVFYW4uDjjY/z48aI5lC5dGmPGjMHmzZuhNXNnp1WrVqFTp07w8/Oz+fkVL14cd+7csXk9OeW4TnxycjLq1auHu3fvGh9//vmn1XU2btyIQYMG4bPPPsOxY8dQrFgxNGzYEI8ePcqirImIiKxTq9UoWrSoSft29epVq+scPXoU7dq1Q+fOnXHy5Ek0a9YMLVu2xMWLF7MoayIioozx9fU1eZgbSi+YuR1dTEwM3N3doVKpTJYfP34ckZGRZq+X12q1ePz4sbHjby7uqVOnULRoUXufjixy5DXxrq6uyJ07t+T6M2fORO/evY3XTCxatAjbtm3DkiVLMG3atEzKkoiIyDYqlcqm9u2bb75Bo0aNMHLkSADApEmTsHPnTsydOxfr1q3LpCyJiOhtZpBpdnqDDTGGDx+OYsWKoX79+siVKxeOHj2K6dOnY9CgQVAqTc9br1q1CmXLljU7Wvvs2bOoXbs2Tpw4gVq1amHkyJEoXLgwGjVqBBcXF6xfvx7btm3D5s2bM/z8MiLHnYkHgAMHDqBgwYIoU6YMBgwYgCdPnlisGxsbi8uXL+P/2rvv+Ciq/X/8r+3JEpIQCEkEEjpIBKSXSBNBL4ggoIh8pCuoWJCPV6ygFy94bXjBjwWRCyiEDkZpFkoCwqUESJQSegSSEEIK6dk9vz/4Zn8s2Z0zSWYTFl7Px4PHg51T5uzZybz37Jw507dvX8c2g8GA+++/H3FxcVXRXCIiIlWOHTuGBg0aoGnTphg5ciROnTqlmD82NtYpvgFAv379GN+IiMhjqmN1+vfeew+XL1/G+PHjMWDAACxfvhyff/45PvzwQ6d8BQUF2LlzJ55//nmX9ZjNZoSEhMBsNgMA3n33XWRkZGD8+PEYNmwYjh49itjYWDz22GMV7yAN3HZX4uvVq4d///vf6NWrFy5cuIBXX30VUVFROHz4MGrUqFEm/8WLFwEAISEhTtvr1q2LgwcPut1PYWEhCgsLHa9vXjWRiIhIS4GBgfjggw8wYMAAZGVlYebMmejcuTMSExMRFhZWJn9eXh4yMzNdxrfS2OcK4xsREXmbwMBAzJo1C7NmzVLM5+Pjg6SkJLfp7du3R0pKiuN1QECAqnqr2i0/iH/uueewbNkyxTzx8fGO+xLefvttx/bw8HCsW7cO9evXR3R0NCZMmOC2jpunWRiNRpf3QJSaPXs23n333TLbM0v0sJW4nuCgVzHxwaDXKabrlJOv12FSzmRQU4ekHXpb2QUiyrDbpFl0tiJJHSXyOooLldPV1CFph75E/n5ldQhJOwFA5OfK85RI9lNUIK0DdrtyHYX58nZI9qOmHcLFQiNO6ZL3CgC2AuU89mL5519SIP9s7EXK9ZRI2gEAJbnKfVKUI//8i7KVP5vCbPl7yb+q3A6rijpqSeoAgOw85c83q1j5OMwXNkDeFK81Z84czJkzRzHPhg0b0KtXLwDA5MmTndKio6PRuHFj/N///R/+8Y9/uK1Ds/hmM8Jmc/21waQ3ua2vlCz06FXMDdRJgqDJIg9weqEiNknihk5NDJTEBJ1Nfm6CZD+6QHkdelmc1SC+AfJzvj1X/mOQNG5IYhcAiGLltloKVMRZWXyTxC5AHr9ksQtQF79sRcptURcDK9/Womzlfi2WxD8AKMpRziOLXQBQfE3+2Viu5CmmB2XKA8+1Ekn8ssniGwAVX9e8VYkd0GkwnV7SzXe0W34Q/9FHH+Gf//ynYh5/f3+3acHBwYiIiMDx48ddptetWxcAkJ6e7rQ9LS3NkebK66+/jldeecXxOjs7Gw0aNFBsJxERUamXX365zMD8Zn5+fm7TfHx8cM8997iNb1arFTVq1GB8IyKiKmWzC+g1GMRrcV/97eqWH8RbrVZYrdYKl8/NzcVff/3l9gtLnTp10LhxY8TGxmLIkCGO7Tt37sTw4cPd1muxWFyujEhERKSGj48PfHx8KlzebrcjKSkJAwcOdJunS5cuiI2Nxcsvv+zYtmPHDnTp0sVtGcY3IiKiW9tttbBdYWEhxo0bhxMnTkAIgUuXLmH06NEwm80YOXKkI9+LL77otBrhSy+9hG+++Qa7du1CUVERZs+ejZSUFEyaNKk63gYREVEZzzzzDA4dOgSbzYbMzEy88MILuHDhgtOtYh999JHTs+NfeuklxMTEYN26dSgpKcGSJUuwa9cuvPDCC9XxFoiI6A5QHQvb3Wlu+Svx5WGxWPDAAw9g+PDhSEpKgslkQo8ePbBr1y7Uq1fPkS8vL89poZ4XXngB6enpGDBgAHJzc9GwYUOsX78ezZo1q463QUREVMbQoUPx7LPP4siRIwCADh06YNu2bWjXrp0jT0FBATIzMx2vH3nkEcydOxeTJk3CY489hpCQEHz77beO++yJiIi0xun0nqcTSqvbeLGioiLHowFulp+fj5KSEtSsWdNpuxACBQUF8PX1Lff+srOzERAQgBPnL6Kmm3v01Ux7kC5sp0EdXNjOBdkCRFzYrtz74cJ2LvJ4ycJ2auooqKKF7V7OOomsrCzFtU/uNMXFxTAajS4XeSssLERBQQECAgLKpOXn53ssvpkkMQNQsbCditgkXdhORSW31cJ2GizceqctbCe4sF0Zd9rCdnmShe3yq2RhOxteyLz94ltpvHjgk60w+ZZ9Klh5Fefn4pdX+t92/aSF2+pK/I3cDeABuP0So9PpKvQFh4iIqKqYTO5Xgle6n53xjYiIqoJdo6nwdl6Jd+u2HcQTERERERFR1bLZhSaPmON0evduq4XtiIiIiIiIiG5nvBJPREREREREmhBCQGhwFf02XbpNExzEayw1txi5eteLasgWiwMAg2TRHoOKuROyhX2MmrRD3hCT3iDfj9H92gXX96Oirb6SRfg0WMRIk0X6VCxipGaxJNl+9CoWIJItZKRqESPJ4kCiUMXCdpJ+FSoWXDJJ8sgWOQJULsIna4uKRfjskoULC65kSesozLymmF6Uo7xgDwD4SRYgKsiU13EtVb44lCVdeRE+f8kCenl2GyDvEqoil/NKkG9wfR6TxQxAHr9UVAGzbOFWFTFDzeJ3Bp3y1yOzwf26BKV0RuVFnVQtBijJolMTm6pgkT4A0EnOgbpalY9vqhaZLdFg0VXJuVpNbJItbGdUsTiemrgibYuKY0RWh5pFd0vylM/3WsQ3q4rFX9UsoGdNV14fRE18882ULBCbpfzZ5dlv78nQdrvQ5H523hPv3u19BBERERERERHdRnglnoiIiIiIiDQhhNBkKjyn07vHQTwRERERERFpQtg1uiee0+nd4nR6IiIiIiIiIi/BK/FERERERESkCS5s53kcxBMREREREZEmhP36Py3qIdc4nZ6IiIiIiIjIS/BKPBEREREREWmCq9N7HgfxREREREREpAneE+95nE5PRERERERE5CV4JV5jJ67kwVpocJlm0uuk5S1G12XLU4ePUfm3GYskXU0dBhXtMOjkeWTVqKhC2idGVW1V/lMw6eV/Kgajj3I7zPJ2mA0q+sxWrJxBlg5AZytSTi8ukNdhLazUPgBAZ5esWGK3qaijRDmDiv4QJSryFCu/H1Ek7zNRkKeYbqiVLa3DN+uKYnpRVo60jsJM5TyWq9ekdZhrZknz5NfKVW5HtnKfWkpKgGTpbqiKKMU3Nawm5bIqTn/S+CWLXWraAchjnJr4ZpA0RY/K16FFfDMbTPI6TFZpHpNP5WOxXhJ7pOd7AJDVUaIcuwBAX6h8DlRxqErjl07Fil2iKL/S+1ETR0Wxcgy0FyifywHAkK+cx1Q7U1qHb2aGYrosdgFAoYr4ZaqhHL8s/hZpHXnpyvG8KFe5Ty0lJUCqdDdei8+J9zwO4omIiIiIiEgbGg3iwUG8W5xOT0REREREROQleCWeiIiIiIiINGEXAjoNVpa3c3V6tziIJyIiIiIiIk0IodE98RzEu8Xp9EREREREREReglfiiYiIiIiISBNcnd7zOIgnIiIiIiIiTdjtgE6DAbjsScR3Mk6nJyIiIiIiIvISvBJPREREREREmhBCaLIoHRe2c4+DeCIiIiIiItKEsF//p0U95BoH8Ro7cyUPPgWu71Iw6HXS8maj8h0OsnQA8DEo5zFJ0gHAJGmrUYM6AHmfqKlD9n6sJnlbLQaDYrrZqKIdsj5T817UHCOS92vU+8jrMPsqp/sGSuvQ24oV03UlhdI6YCuS1KGcDgCw25TrsJfI61ARJWT16EqU+wMAdMX5iun2/FxpHfaA2orp+pxMaR3mrCuK6T61s6V1+NT2l+axZl5TTC/MzFFMNxcVA9ulu6EqcjYjDz6FFb8LT4v4ZtIr5/FRUYdeJz/PWiT1aBGb1JDtx2pSjl0AUNOinEfWpwBglO8GBkm/mg1qYqBJUodZWofZWkM5Xchjgt1aSzFdTVzRFRcoZ5DEUADQ+dSU5pHFL1VttSnHUaMkVgOAKFaO+SJXHlf0foGK6aY68hhpVREDCzOyFNPzryinA4BvXeX4VpKrHO99i4qB3dLdELnFQTwRERERERFpwm4XGi1sx+n07nAQT0RERERERJrgI+Y8j6vTExEREREREXkJXoknIiIiIiIiTfBKvOdxEE9ERERERESasAsBnQaPh7PzEXNucTo9ERERERERkZfglXgiIiIiIiLSBKfTex4H8URERERERKQJITQaxHM6vVscxBMREREREZFXs9ls2LlzJ5KSkhAaGooHHngAVqvVkZ6WloZly5aVKffEE08gNDRUse79+/fjwIEDCAoKwt/+9jf4+flp3v7y4CBeY2fTc2HO01W4vEGvXNZskC9jIKtDlg4AFqPyftTUYZbUoSaPmjp8TQbFdKskXas6rCbltpr08vfio+L9yj4bo5rPxqCcx0eSfr0OyWdnsCqmA4DRVEMxXc1xprPbJOkl0jqg4pdeaT3FBfI6SgqV02sUSeswFOUrpwdkS+uwB9RWriNXXoc5OFOaxzczQzG94EqWYrq+QLm/qGqdSMmB2er6b0XV+V5yzlDz9y4jOz+q3Y8WsUm2H1+zPK7I6lAXm5TzBFjkXwXV9KssxqmJb7K2qvgKBIskfqn5HuVr9FFMN5nlx5DRx18xXW8rltYBSXwDAAi7YrJOkn59P8rxTVcij03y+BYorcNUK0QxXeQpxwwAsOVkSvMYaivHOEvdK9I6SrKV6yjMzFFuw20e34RdwF7F0+mPHDmCUaNGISwsDI0aNUJ8fDzGjx+PTZs2oVOnTgCA8+fPY+rUqZg8eTIsFoujbGGh8ucxbdo0LFy4EAMHDsSxY8cwbdo0bN++HY0bN67YG9MAB/FERERERESkCSGEJlPhy1OH2WzGpk2bUL9+fce2fv364Z133sGmTZuc8s6ePRuBgYGq6o2Li8Mnn3yC2NhY3HfffSgpKUGfPn3w0ksvISYmRnX7tMZBPBEREREREXmtli1bltlWq1Yt5OSUnRWxatUq6HQ63H333ejevTt0Oveza1auXInIyEjcd999AACj0Yinn34a48ePR05ODmrWrKndmygHDuKJiIiIiIhIE1qvTp990+0LFovFaTr8jRYuXIiMjAzEx8cjKSkJ33//vVO6n58fNm3ahBo1auD1119Hy5YtERMT4/bK/J9//lnmB4KWLVvCZrPhxIkT6NChQwXfXeXwOfFERERERESkCfv/uydei38A0KBBAwQEBDj+zZ492+2+k5OTcerUKRw9ehRms9lpSn69evVw7NgxrF27FkuXLsXRo0dx7tw5vPbaa27ry8nJKTPAr1WrliOtuvBKPBEREREREd2SkpOT4e///y8W6e4qPADMnDnT8f+RI0fiiSeeQEJCAgAgLCzMKW+dOnUwevRolyvWl7JarWUG66UzA25c+b6q3XaD+GnTprlcYbB79+548sknXZZZsWIFYmNjnbbdddddeOONNzzSRiIiovL65z//iYsXL5bZ3rJlS0yZMsVlmZ9//hkbNmxw2maxWPDxxx97pI1ERETCboNQ83QFFfUAgL+/v9MgXq2BAwciOjoahYWFbgf+ZrMZWVnun3zQvHlzHDhwwGnbqVOnoNPp0LRp03K3SSu33XT6Fi1aoGXLlo5//v7++Pzzz8vcS3Gjbdu2YdeuXU7lGjVqVIWtJiIiUtaoUSOnONWwYUP83//9H/766y+3ZQ4cOICYmBinci1atKjCVhMR0Z2mdBCvxT+1jh07Vmbbtm3bEB4e7hjA35ynsLAQK1ascCxaBwApKSmYO3cuUlJSAACDBw/GwYMH8eeffzryLF26FD169EBQUFC5+kVLt92V+Geeecbp9fvvvw+r1er2KnypJk2auL2SQUREVN1Gjhzp9Lp0sZ4JEyYolgsODmZ8IyKi29rq1auxadMm9OzZE1arFXFxcdizZw+WL1/uyLNu3Tr88MMP6N27N4xGI1avXo3i4mKn2Wlnz57F1KlT0bVrV4SGhmLAgAEYOnQoHnzwQYwZMwaJiYnYsWMHduzYUR1v0+G2G8TfSAiBRYsWYcSIEdIpGCdPnsTf//53BAQEoEePHujZs2cVtZKIiKj8Fi5ciN69e6NZs2aK+dLS0vD666/DYrGgU6dOGDhwYBW1kIiI7kTCbtdoOr1ddd633noLjzzyCLZs2YLs7GyMGDEC0dHRjkXoAOD111/Hww8/jM2bNyM3NxczZszA0KFDYTabHXnCwsLw0ksvOd0/v2rVKqxZswb79+9H9+7dMW/ePDRo0KDS768ybutB/Pbt23Hq1CksXbpUMZ9Op0NISAgCAwNx4cIFPPTQQxgzZgy++OILt2UKCwud7r1Xmq5PRESkpdOnT2P79u1lHp3jSv369WG1WpGVlYWnnnoK3bp1Q0xMDPR613fUMb4REVFlCJsNwqbBIL6cdbRp0wZt2rRRzNO6dWu0bt3abXpERATmzp3rtE2n02H48OEYPnx4udrjSbf8IP67777Dnj17FPPMnDkTderUKbN94cKFiIyMRLdu3RTLv/HGG06/pjz++OPo3bs3hg4din79+rksM3v2bLz77rtltp9NuwajT8Wfi6jX6ypcVi2din0YJHlk6WrzWM0GxXRfs/wQ9ZXUUdMiryPAalJM9/OR11HDpNwOi1E5/Xoe+TIVJkm/+qiowyppqywdAHxMyvsx6OSfv+y9GFSs2iHbj1Ev/+zU7MekNyumG31rSOswG5Tbqi8puyjnzXSSPDprrrQOfc3aiumGonxpHfZrmdI8hloZiunGwDTlfeQVSPfhzTZu3IiNGzcq5nnhhRdc3sP+7bffolatWhg6dKhi+f/5n//B9OnTHa+feeYZtG3bFgsXLsTTTz/tsoy7+Jacngujj+LuFBlUnJukdWgQI7WoQxZ3AMAo2Y+fj3LcAeRtDfSV1yGLX0F+yuc2QGVMkJxI1Xy/0SI2+Uk+GzUx0ix5L1rEJln8AwCjXv75yqqRHYcAIAuTZouatkriW7H8fK6zFSmnW+WP8zLUvCbfT7FyjDPkZMr3k3VFMd2UrZx+u8c38rxbfhAfFhaGli1bKuYxmcqe5DIzM7F27VrF5wiWunk6RK9evdCgQQPExcW5HcS//vrreOWVVxyvs7Ozq31aBREReY86depI41uNGmV/HLLZbPjPf/6D0aNHKz5mB7h+Ff5GzZs3R6dOnRAXF+d2EM/4RkRElSGERqvTi8rXcbu65Qfxffv2Rd++fctdbtmyZbDb7XjqqacqtN+ioiKUlJS4TbdYLNIvT0RERO507twZnTt3Lne5LVu24MKFC5g4cWKF9ltYWMj4RkREHqP1I+aorNvuEXOlvvnmGwwbNszl0v/Lli3DP//5TwBASUkJfv31V6f0JUuWIDU1FQ8++GCVtJWIiEitb775Bt27d0dkZGSZtC1btmDatGlOr2+0fft27N+/n/GNiIjIi92Wg/hDhw4hPj7e7VTB3377DcuWLQNwfaGCjz/+GJ07d8a4cePQt29fTJ48GbNnz+YK9UREdEtJS0vDjz/+6Da+7du3D1999ZXj9erVq9GmTRuMHj0aDz/8MB566CFMmTKlwrPUiIiIZKrjOfF3mlt+On1F2O12fPHFF+jVq5fL9FGjRjmm6BsMBmzcuBFHjhxBfHw8atWqhe+++87psQJERES3guzsbHzyySd4/PHHXaY/9NBDqFu3ruP1ggULkJSUhL1798LX1xfz5s1Do0aNqqq5RER0B+J0es+7LQfx7du3R/v27d2m9+nTp8w2NY8kICIiqk5NmzbFlClT3KZ37NgRHTt2dNrWrFkz6bPkiYiIyHvcloN4IiIiIiIiqnrCbtfoSrxdg9bcnjiIJyIiIiIiIk3Y7TZAg0G8ndPp3botF7YjIiIiIiIiuh3xSjwRERERERFpggvbeR4H8RrLvJwLg0VUuLxOp1NM1+uV09Ww2yvevvK0Q6cij8GgPBnEaDZI6zCalOswWeSHuZ+Pcp5Aq1laR4CvSTG9pmQfAOCr4v2ajcrvV00dPpJ+txjldVgk7TCp+fwlefSSvwc1+zEZ5HX4SN4LAFgMyn3iKzkOr+9HuS0Wg/wYMRuUj7Ma/v7SOgwlBYrpuuI8aR16ay35fvzrKKfXClZMN1/Lle6Dqk5Weh4MFtdpQsjjitGk/DckVMQmveRvVU0dasjqURPfZHnMKmKTXnL+skjiDiCPb3X9feR1qGirLMbJzveAvK2y+AcAVslxJot/AOArqUMNk2Q/KkKTNM6qoUV8q2GW12GUfL4+GsQ3v4DKxzdAHuP0vgHSOoyBdRXTRXa6YrrpNo9vHMR7HqfTExEREREREXkJXoknIiIiIiIibdhsEHoNrqLbeCXeHQ7iiYiIiIiISBNCaLM6vRAcxLvD6fREREREREREXoJX4omIiIiIiEgTwm7X5kq83a5Ba25PHMQTERERERGRJoRdo+n0XJ3eLU6nJyIiIiIiIvISvBJPREREREREmrg+nb7yU+E5nd49DuKJiIiIiIhIE5xO73kcxGssMzUTenNRhcvr9IZKt0GLOvR6nQbtkNeh0ynnUdMOo0n5/Zp85P2RKanjsq9JWofZR/nPyVeSDgA1VeTxNSvnMRvld8n4St6vRU0dZuU6DBocQ2rI9qOqPyTvBQB8DMr1+PvIj5EAi/JnV9Mib4ef5PP3VfF+rSbltvqaAuV1+NaS5tEX5iim66zKddh9lMtT1cpKz4XeLFym2UvkcU8Wm9TELi1ikxpq4peMLDapYZCcd9TEtxzJuSn9Sr60DouvivhlVd6PmvhmNiq/HzXnc7Okz9S0QxZX1MQ3LepQQ1aPmvhWUxJX/FTUESA5ztTUUUOSJ7tIflW2hiS+AYCvOVAx3UdNfCvIUkyXxTeRw/hGlcNBPBEREREREWmCV+I9j4N4IiIiIiIi0oTdboOOg3iP4ur0RERERERERF6CV+KJiIiIiIhIE8JmB3QaXIm3cXV6dziIJyIiIiIiIk0IodE98YLT6d3hdHoiIiIiIiIiL8Er8URERERERKQJYbdpM52eC9u5xUE8ERERERERaYKDeM/jdHoiIiIiIiIiL8Er8URERERERKQJUVygzVV0W3Hl67hNcRCvsZyLJ6EzWjxWv05vkObRm8yVrsNgrHwdWuWpbB0Gi6+0Dr3k/RpN8nZafE2SdPmfW4ZFnkfWFoNRJ61Dp1fOYzDIJ+kYjcp5DJJ9qFFVdVgk7wUA/HyUP9/aNZSPIQAI8lPOU0dFHf6SdtSxKqdfz6O8H18V/ZGn4jjzM/sppvtYaiqm22CV7oOqTvZfx6Az+lS4vBbn+6qIb2rqkcUMNVTFSIPkfG+Wxzd5zJD/vcviGwBkS2KcmjhqNCm3Ra/ifK6XxC+zWcUxIouRKtpRVfHLKMnja5Z/r/CTfPeoLYldgDy+BUpiFwDUkhxnauJbgEWexyKJXz4Geb9bTf6K6b6+gYrpJboa0n14I7PZjNDQUKT8uVKzOkNDQ2E2V/6ce7vhIJ6IiIiIiIgqxcfHB2fOnEFRUZFmdZrNZvj4VPwH5NsVB/FERERERERUaT4+Phx0VwEubEdERERERETkJTiIJyIiIiIiIvISHMQTEREREREReQkO4omIiIiIiIi8BAfxRERERERERF6Cg3giIiIiIiIiL8FBPBEREREREZGX4CCeiIiIiIiIyEsYq7sBt5vc9L+gM5g9Vr9Ob5DmMZh9ldNN8vbpjcp59EaTtA41bdWraEtl96PLU9EOWR0q3kuBj59iutFXOR0AzBb5n6TeqPzbm16nk9ah0yvnMUj2cb0O5XSDQU0dknaoqEPWH2roJe0AAJNF+Rj4S8VnV9ffopgeFqD8twsAoYE+iuklNru0jsIS5TwBPvL3UlPF+y2wCcX0Giblzy6nUP5eqOpcSzvvNr6pOUfKqIoZkthktMj/htTsR6eXnGcl7QAAg6QtBhV1yKh7L5WPb3kq+tXkY1VOV3HOkJ3zZTFDTR6j5LyjhroYKWuHmu8m8vcrbYeK7wSy+OZnlX/nC5TkURPfwusoH0N5xTZpHQGWEmkeP7PysRjoKz9W80uU45tVkp6TL38vREp4JZ6IiIiIiIjIS3AQT0REREREROQlOIgnIiIiIiIi8hIcxBMRERERERF5Ca8cxF+6dAlxcXHIyspymyc5ORn79+9Hdna26norUoaIiEgrGRkZiIuLQ1pamts8qamp2LdvH9LT01XXW5EyREREdGvyqkH8/v37MXz4cLRt2xY9evRAfHx8mTwFBQUYNmwYWrRogaeeegqhoaGYN2+eYr0VKUNERKSVpKQkjBs3Dvfccw969OiBjRs3lskjhMDzzz+PiIgIjB07FvXr18f06dMV661IGSIiIrq1edUgPjExESNGjMDevXvd5nn33Xfx3//+F6dOncLRo0exbNkyvPjii5qXISIi0srRo0fRo0cPnDp1CgaD68c9ff3111i6dCkOHDiAP/74Azt37sSnn36KlStXuq23ImWIiIjo1uZVg/ixY8fiscceg8nk/lmUixYtwsSJExEWFgYAGDJkCO655x4sWrRI0zJERERaeeSRRzB+/Hj4+rp/lvK3336LYcOGITIyEgDQuXNn9O/fH99++62mZYiIiOjWZqzuBmjp4sWLSE1NRYcOHZy2d+7c2eXU+4qWAYDCwkIUFhY6Xpfeny9sxRVtvjrC9RUapywlynmETsjrgHIeAbu0DujlvxHZ1dQjodMrv19ZOgBAWoeK9yKpw26Q12HTyf8khU25HqHTSevQ6SV5JPu4Xockg0GDdqjpd2Plf4vUy9oBQCf52zPY5Z9dkUn5/FBosknrKJDUkYciaR0Wm/sfQgHAWCx/L7oi+d9VieSzkX1213JyAFyfEn6nE0Lg8OHDeOqpp5y2d+7cGfPnz9esDFDB+KYiNkmpiW/SKlScD1TFBMl5VkXsskvOKzqhRfxTc66ufIxUEVZglzTFpuYrp+Tzk8YMFXl0soaqYVPRDlmn2eT9riY2VbodkMe3Yp1yzACAIsn3FzXxLT9XOU+e3Sytw6QmfpmU8xgl36MBoERyrNoY38jDqnUQn5SUhNTUVMU8HTt2hI+Pj6r6MjIyAAC1a9d22l67dm1HmhZlAGD27Nl49913y2y3/Vn9UxQ9/DMCEVGVunLlCgICAqq7GeVy/vx5nD9/XjFP69atVb+v3NxcFBYWlitWVaQMcGvHNyKi24k3xje6NVTrIH7VqlUuF++50YoVK1CvXj1V9ZVOsy8oKHDanp+fD7PZ9a93FSkDAK+//jpeeeUVx+vMzExERETg/Pnzt/QfY3Z2Nho0aIDk5GT4+/tXd3MUsa2e4S1t9ZZ2Amyrp2RlZSE8PBxBQUHV3ZRy++WXX6RT1ufOnYuOHTuqqo/xTc6bjm221TO8pa3e0k6AbfUUb45vdGuo1kH8G2+8gTfeeEOz+ho0aAC9Xo8LFy44bb9w4QLCw8M1KwMAFosFFoulzPaAgIBb/sQBAP7+/l7RToBt9RRvaau3tBNgWz1Fr2LK8K1m/PjxGD9+vGb1WSwWhISElCtWVaRMaTnGt6rBtnqGt7TVW9oJsK2e4o3xjW4Nt9WRY7Va0b17d/zwww+Obbm5ufjll1/Qr18/x7aTJ0867ndXW4aIiKg69evXDzExMY7XNpsNP/74o1OsSk5Oxu+//16uMkRERORdvGphu7S0NJw4cQKXL18GACQkJMBoNCI8PNxxVWHWrFno168fXn/9dXTr1g3z5s1D3bp18cwzzzjqmTNnDvbs2YPExETVZYiIiDwlKysLCQkJjtdJSUmIi4tDSEgImjVrBgB466230KlTJ0ycOBGDBw/GsmXLkJGRgVdffdVRbvHixZgzZw6uXbumugwRERF5F6+6En/gwAFMnz4dH3/8MaKiorBixQpMnz4dv/zyiyNPr169sG3bNpw7dw6fffYZIiMjERcXBz8/P0eeZs2aoX379uUqI2OxWDBjxgyXUxBvJd7SToBt9RRvaau3tBNgWz3Fm9paWadPn8b06dMxffp0dO3aFTt27MD06dOxatUqR54WLVrg999/h91ux9y5c1GzZk3s2bMHDRo0cOQJDw9H9+7dy1VGxls+B29pJ8C2eoq3tNVb2gmwrZ7iTW2lW5NO8NkGRERERERERF7Bq67EExEREREREd3JOIgnIiIiIiIi8hIcxBMRERERERF5Ca9anf5WcO3aNRw+fBgRERGoX7++yzxXrlzB6dOn0aBBA4SGhqqqtyJl1EpOTsa5c+dcpnXt2hVGY9nDoLCwEPv27SuzPTIyErVq1dK0fTcqfQLBzbp37y59lqYn+9Adm82G48ePw2w2o2HDhi778kZJSUlITU112lazZk20bdtWszYJIfDnn3+ipKQEkZGR0jZVtIwWMjIycO7cOURERCAoKEgxb1FREf773/+W2d6qVStp2cq4fPkyjh8/XmZ7t27dYDAYFMtmZGTg1KlTqF+/PsLCwjzVRIfdu3fDbreX2R4WFoYmTZq4LHPy5EmkpKQ4bfPz88O9996reftKz5/h4eFuF1arSJ9VdT/frgoLC3Hw4EHUrVvX7fGSk5OD48ePIzg4GBEREarqrUgZtdz9fQLAvffe63aB2ri4uDLbmjRp4tHj5+YnEJRq3749rFarYllP9qE7QgicPHkSNpsNjRs3htlsVsx//vx5nD9/3mmbyWRCly5dNG1XUlIScnJy0KpVK/j4+HisTGVlZ2fj1KlTqFevHurWrSvNz2NS2YEDB5Cfn19me1BQEFq1auWyTFUdk4B3nj/JywlSJTk5WTz33HMiNDRUmEwmMXv2bJf53nnnHWGxWESrVq2ExWIREyZMEDabTbHuipQpj8WLF4uoqCinf8HBwcJqtYr8/HyXZc6cOSMAiA4dOjiV27Vrl2btcmXRokXCbDaXaW9eXp5iOU/34c1sNpuYOXOmqFu3rrj77rtFeHi4CA8PF5s3b1YsN2bMGBEcHOz03iZMmKBZu44fPy5atmwp6tatKxo0aCDq1asndu/erXmZyjp48KB44IEHRO3atcW9994rrFarePLJJ90ej0Jc/xsEINq3b+/Ufzt37vRoW5cuXSpMJlOZYzInJ0ex3Lvvvut0TI4dO1aUlJR4tK3333+/Uxs7duwoAIi3337bbZkJEyaIOnXqOJUbO3aspu26cOGCeP7550VYWJgwm83iH//4h8t8Femz6ujn283Vq1fFa6+9JurVqydq1KghJk2a5DLfl19+KaxWq2jZsqWwWq3i4YcfFrm5uYp1V6RMeWzZsqXM32aDBg2ETqcTZ8+edVsOgLjnnnucyq1Zs0azdrmybds2AaBMe0+fPq1YztN96Mr8+fNFgwYNRLNmzUSzZs1EnTp1xJIlSxTLzJgxQ/j7+zu9t4EDB2rWptTUVNG1a1cRGBgomjZtKmrVqiU2bNigeZnKSkpKEo8++qgIDAwU7dq1E35+fmLAgAHiypUriuV4TCobMWKEUxu7d+8uAIhx48a5LePpY1II7z5/knfjIF6l7du3i/nz54usrCxRr149l4P49evXC5PJ5BjoHjt2TAQEBIjPPvvMbb0VKVNZdrtdNGzYUPHEVzqIT0pK8lg7XFm0aJGoV69eucpURx/m5eWJGTNmiKtXrwohrvfp9OnThZ+fn0hPT3dbbsyYMWLUqFEea1e7du3EoEGDHIOYSZMmibvuuktxcFyRMpW1YsUK8csvvzhenzt3ToSFhYlXX33VbZnSQfzRo0c91i5Xli5dKkJCQspV5scffxRGo9HxA8OJEydEYGCg+Pjjjz3RRLeWLFkidDqd4t/xhAkTxIgRIzzajp07d4p///vfIjMzU0RERLgcxFekz26VfvZ2iYmJYvbs2SI1NVVERUW5/BIaHx8vdDqdWLlypRDi+uAoPDxcTJ061W29FSmjhZ49e4o+ffoo5gEgfv75Z4+242alA6bi4mLVZaqrD2fOnCkuXLjgeP3FF18Ig8Eg/vjjD7dlZsyYIaKiojzWpiFDhoiOHTs6BjGzZ88WVqtVXLp0SdMylbV582axdu1aYbfbhRBCpKeni1atWomRI0cqluMxWT6//fabACB27NjhNo+nj0khbr/zJ3kPDuIrwN0g/pFHHhEPPfSQ07aJEyeKtm3buq2rImUq6+effxYAFK+2lg7if/75Z3Hw4EGRnZ3tsfbcaNGiRSIsLEwkJCSIxMREUVhYKC1THX3oytmzZwUA8euvv7rNM2bMGDF06FCxf/9+cfr0aU1nCxw8eFAAEHv27HFsS05OFjqdTqxbt06zMp4yceJE0a1bN7fppYP4zZs3iwMHDoisrKwqadfSpUtF3bp1RWJiokhMTBQFBQXSMkOHDhUPPPCA07bJkyeLyMhITzXTpV69eon7779fMc+ECRPE4MGDxf79+8WpU6c8OoNFCOF2EF+RPrtV+vl24u5L6IsvvihatmzptG3WrFmiVq1abo+ZipSprKSkJAFALFu2TDEfALFkyRKxf/9+6RVSrZQOmBITE8Xhw4dVXVGrjj50paSkRBgMBrFw4UK3eWbMmCE6d+4s4uPjxfHjx8s1MJS5fPmy0Ov1Ijo62rEtPz9f1KxZU3z66aealfGUmTNnigYNGijm4TFZPqNGjRLNmzdXzOPJY9IVbz9/knfhwnYaio+PR4cOHZy2de7cGYmJiSguLtasTGUtXLgQkZGR6NatmzTv6NGj8T//8z+oXbs2Jk6ciLy8PI+06UaXLl3CsGHD8PDDDyMoKAiffvqpYv7q6ENXStcQcHcvVKmYmBiMHz8enTt3RuPGjfHzzz9rsv/4+HgA1+9lK1V6j3BpmhZlPEEIgQMHDqBp06bSvGPHjsXo0aNRp04djBs3Drm5uR5vX1paGh599FEMGjQIQUFB+OijjxTzuzsmjx49isLCQk821eHkyZPYuXMnnn76aWnejRs3Yty4cejatSsaNWqELVu2VEELnVWkz26Ffr5TuOvrq1evul1zpSJlKmvhwoUICgrC0KFDpXmnTp2K8ePH46677sKQIUNw+fJlj7TpZg8//DCGDx+OWrVqYfr06S7XsShVHX3orh02m016jt6/fz9GjRqFPn36ICwsDMuWLdNk/0eOHIHdbnfqCx8fH7Ru3dptrKpIGU/Zt2+fqvjGY1KdzMxMrF27VlV889QxWR7ecv4k73LHLmyXkpKCkydPKuZp0aIFgoODVdeZkZGB2rVrO22rXbs2bDYbsrOzy6RVtEx+fj4OHDig2JbQ0FCXASMjIwPr1q3DBx98oFje19cX69atw5AhQwAAf/zxB/r06YMaNWrgs88+Uyx7o/L2c7NmzZCYmIjIyEgAwMqVK/HEE0+gYcOGePTRR12Wr0gfunL8+HFpwOzcubPLxX1SUlLw8ssvY/To0YoLjwwaNAgff/wxateujZKSEkybNg3Dhg1DYmIiwsPDVbXTnYyMDPj7+8NkMjltr127NjIyMjQr4wkffPABjh49isWLF7vN4+Pjg9WrV2PYsGEAgKNHj6JPnz74+9//js8//9xjbWvSpAmOHDmC1q1bAwDWrFmDxx57DBEREXjsscdclnF3TNrtdmRmZiIkJMRj7S317bffIigoyO3fTakBAwZg9uzZCA4ORklJCV577TXHMdmwYUOPt7NURfrsVujnW1FmZiYSExMV80RERLhdXNCVjIwMtGvXzmlbad9nZGSgUaNGmpQRQmDXrl2KbQkMDMQ999xTZrvNZsPixYsxevRoWCwWxTq+/vprTJw4ETqdDufPn8eDDz6IiRMnYsOGDYrlblTefq5bty5iY2Nx3333AQBiY2PRv39/hISEYOrUqS7LV6QPXTl37hySk5MV87Rp0wb+/v5ltufm5mLixIno1asXevTo4bZ8ly5dcObMGYSHh0MIgY8//hijR49Gs2bN0KlTJ1XtdKc0Hrn6e1eKb+Ut4wnfffcdNm3ahK1btyrm0+KYLK/qPCYrY9myZSgpKcGYMWMU83nymCyPqjp/0p3ljh3E7927Fx9++KFinnfeeQf9+/dXXafJZEJBQYHTttKVNN2t6lqRMpcvX8b06dMV2zJo0CC89tprZbZ///33AICnnnpKsXxISIhjAA9cX5X+xRdfxLx588o1iC9vP0dFRTmlPf744/j6668RHR3tdjBSkT50Zfny5fjll18U86xbt67MDzsZGRl48MEH0bhxY3zxxReK5UsHoABgNBrx0UcfYcGCBfjpp5/w7LPPqm6rK676AbjeF+U5/mRltLZo0SK88847WLZsmWOg7EqdOnWc+u/uu+/Gyy+/jA8//NCjg/ibZ6wMGzYM/fv3R3R0tNtBvFbHZEWVZzBz4xVLo9GIDz74AF9//TViYmLwwgsveLqpDlV1/rwTHD9+XBojnnnmGYwePVp1nVX1+RQXF0vb3qlTJ5cztDZu3IhLly5h4sSJiuUBOF3BCw8Px5tvvonRo0cjNzcXNWrUkJYHyt/PN6+g3aNHD4waNQrR0dFuB0xaHeObNm3Cd999p5jniy++KHMOLigowJAhQ1BUVISVK1dCp9O5Lf+3v/3N8X+dTof//d//xVdffYXVq1dXesBU+kOzq75w9cNDRctobdOmTZgwYQLmzp2Lvn37KubV4pgsr+o8Jitj4cKFGDJkiPRCmyePyfJgfCNPuGMH8YMHD8bgwYM1rTMiIgIXLlxw2nbhwgUEBgaiZs2ampUJDw93+SgSNRYuXIhhw4ZV6JFcISEhSEtLQ0lJiepHkGnRzyEhIYpThyrSh67MnDkTM2fOLFfbrl69igceeAA1a9bExo0bpY9kuZnJZEKtWrXKtL8iIiIiUFRUhPT0dNSpUwfA9cFcamqq26v8FSmjpSVLlmDSpElYsmQJhg8fXu7yISEhyMjIQEFBQZU9Nqh0v+4eawW4PyZr1qzp0Uc0ltq0aRMuXryoajBzM6PRiKCgIE2OyfKoSJ9Vdz/fqrp06VLhGOGOu74G4PaKfkXKmM3mSsW37t27O2ZylUdISAiEELh06ZKqac+ANv0cEhKCzZs3u02vSB+6MnnyZEyePLlcbSssLMSQIUOQnJyM7du3q3pM2s3q1q2rWXwDrr/3Gx+5duHCBZezMipaRkubN2/G0KFDMWfOnAr9IFqRY1ILVXVMVtShQ4dw8OBBzJkzp0LltTomy6Oqzp90Z+E98Rrq168fNm7cCJvN5ti2YcMG9OvXz/E6NTUVcXFxjvuN1JTRyv79+3H48GGX9xAVFBQgLi4OV69eBQCX9xlv3boVLVq08OgzxG/eb35+PuLi4pwCbnX24Y1KB/BWqxWbN292+TziEydO4PDhwwCuD45v/lX1jz/+wMWLFzX5QtGzZ0+YzWb88MMPjm2//fYbcnJynPpi3759OHv2bLnKeMLSpUvx9NNPY/HixXjiiSfKpBcWFiIuLs4x7dHdMdmkSROPDuBv3m9BQQFiY2OdPrO0tDTExcU5jsF+/fph06ZNKCkpceTZsGEDHnjgAY+180bffPMNoqKiXD47NykpCYcOHQIA2O32Ms/dPXbsGJKTk6vkS+6N1PTZrdbPd5J+/fph+/btyMnJcWzbsGEDOnXqhMDAQADXnzkdFxfnWDtFTRmtpKSk4KeffnJ7j2xcXBwuXboEwP25pGbNmh798fLm/Qoh8Msvvzj9rVVnH96odAB/9uxZbNu2DaGhoWXynD9/Hnv37nW8vvn9paam4siRI5qcS1q3bo2QkBCnWHXixAkcPXrUKVYlJCTg2LFj5SrjCVu3bsWjjz6K999/3+0VbR6TFfPNN9+gYcOGLs/zVXlMlsetfv4kL1V9a+p5l7y8PBEbGytiY2NFcHCwmDx5soiNjRWJiYmOPBcvXhR169YVw4cPFz/88IOYNGmSsFqtIiEhwZFnwYIFAoDjGdNqymhl8uTJolmzZo7HntyodEXfmJgYIcT1566PHTtWREdHi5iYGDF27FhhMpnE+vXrNW/XjQYMGCDefPNNERMTI1asWCGioqJE3bp1nZ5ZWp19WCo/P1906tRJ3HXXXWLTpk2OYyM2NlakpaU58o0aNUp06NBBCCFETk6OiIyMFJ9++qnYvHmz+PLLL0WDBg1E9+7dRVFRkSbtevvtt0VgYKBYsGCB+P7770X9+vXF6NGjnfLUq1dPTJs2rVxltLZ27VphMBjElClTnPpu3759jjylT0goXSX/vffeE6NHjxbLly8XMTExYsKECcJoNHr8ObqDBg0Sr7/+uvjhhx/EypUrRY8ePURwcLA4efKkI8+iRYsEAMcjB1NSUkRoaKgYOnSo+OGHH8Szzz4rfH19xaFDhzza1tJ9G41G8Z///Mdl+pgxYxxPbsjLyxOtWrUSn3zyidi8ebP46quvRHh4uOjSpYuqJ0OolZ+f7/iMQ0NDxdNPPy1iY2Od/kbV9Nmt1M+3E7vd7vh8WrduLQYPHixiY2PFgQMHHHlyc3NFixYtRJ8+fcT69evFW2+9JQwGg9i6dasjT+mTT0o/VzVltDJnzhzh7+/vcnXt4uJiAUDMmzdPCCHEN998I4YMGSKWLFkiNm7cKKZOnSqMRqOYP3++5u260YQJE8RLL70k1q5dK9auXSsGDRokatSoIfbu3evIU519eKNBgwaJmjVrilWrVjmdo8+fP+/I8+abb4ratWs7Xnfo0EH885//FBs3bhSLFy8WkZGRonnz5o6/18pauHChMJvN4pNPPhGrV68WrVu3Fr169XL6ThMVFSWGDRtWrjJai4uLE76+vuLxxx936ru4uDhHHh6TFZOfny9q1aolZs2a5TK9qo9JIW6P8yd5pzt2On153XgfevPmzZGQkIDp06eja9eujpWqw8LCsGfPHvzrX//Cp59+ivDwcOzevdvpF7/Q0FBERUXBYDCoLqMFIQSSk5Px2muvubynzdfXF1FRUY5p9jNnzsTKlSuxYcMGZGZmOt5zixYtNG3XzVatWoUvv/wSCxYsgMFgQL9+/RATE+M0Nba6+vBGOTk5MJvNaNSoEWbNmuWUduM9/i1atHBcJfbz88PmzZsxf/58bN68GbVr18Zbb72F8ePHaza74d1330WjRo2wZs0alJSU4JVXXsGUKVOc8nTu3NlpQRQ1ZbR26tQpdO3aFfHx8U6rBIeFhWHVqlUAri9kFxUV5VjI5a233sLq1auxfv16XL16Fc2aNUNCQgJatmzp0bauWLECX375JRYuXAidTof7778f69evd7olJSQkBFFRUY7PMSQkBHv27MEHH3yAuXPnon79+ti1axfatm3r0bYCwO7du9GjRw+39+s3b97ccQ7w9fXF1q1bMX/+fGzduhW1atXCG2+8gQkTJmg64+bKlSuO82eTJk3w559/Yvr06U73Nqvps1upn28nN96H7u/vj/T0dEyfPh0RERGOdVSsVitiY2MxZ84c/Pvf/0ZwcDB+/fVX9OrVy1FPYGAgoqKiHPfvqimjlePHj+PVV191eUuTTqdDVFQU7rrrLgDAhAkTUL9+fSxfvhwpKSlo1KgRdu/e7fF7ZL/88kssWrQI33//PYqKitCqVSt88cUXqFevniNPdfbhjbKzs9GmTRvMnTvXafuN9/hHRESga9eujrTSc8n8+fNRo0YNjBs3Ds899xx8fX01adP48eMRFBSEJUuWICcnB0OHDsWrr77q9J2mTZs2TgvZqSmjtVOnTqF9+/a4cOGC05oJRqMR27dvB8BjsqL279+PyMhIjBs3zmV6VR+TwO1x/iTvpBNCiOpuBBERERERERHJ8Z54IiIiIiIiIi/BQTwRERERERGRl+AgnoiIiIiIiMhLcBBPRERERERE5CU4iCciIiIiIiLyEhzEExEREREREXkJDuKJiIiIiIiIvISxuhtA5C0OHTqErKws9OrVS/O6ExMTkZaWhvvvv7/Cdfz+++84d+4cAOD+++9H3bp1PbYvum7Lli24evUqAGDIkCHw8fGp5hYREZVfUlISkpKSMGDAAM3rPnPmDBITEzFo0KAK13HkyBH8+eefAIAuXbqgUaNGHtsXXRcXF4e//voLANCvXz/Url27mltERDfilXi6paWnpyM6OhrXrl2r7qbgu+++w+zZsx2v4+PjERsbq0ndq1evxnvvvVepOj777DO8+eabWL9+PdLT0z26rztRTEwMTp8+7bRt27ZtWLx4MUaOHInMzMzqaRgReaX8/HxER0cjNTW1upuCLVu24JVXXnG8PnHiBDZv3qxJ3Tt27MALL7xQqTqWLVuGl19+GevXr8f58+c9uq870W+//YaEhASnbXv37sXq1asxcuRIJCUlVVPLiMgdDuLplnbs2DGMHDkSKSkp1d0UtGvXDr1793a8Xrx4MT744IPqa5ALffr0QXR0NFq1alXdTbntvPDCC/jtt9+cts2ZMwcffvhhNbWIiLzZlStXMHLkyDKDp+rQvHlzDBw40PF648aN+N///d9qbFFZ99xzD6Kjoz0yG+5O995772HFihVO26ZNm4b//Oc/1dMgIpLidHryena7Hf/9739x8eJFNGnSBG3btnVK379/PwoLC9G+fXvHlPjOnTsjKCjIKV9hYSF27twJvV6Pdu3a4eLFi07TziMjI1G/fn0AwJ9//okTJ04gJSUF0dHRAICePXvizJkzsFgs6Nixo6PehIQEXL582Wn6elFREXbu3AmdTod27dq5fW9//PEHkpKSUK9ePbRr1w5GY/n/ZLXal6x/Svv53nvvxe7du1FQUOCY0lhcXIw9e/YgMzMTd999N5o2bVpm/2ryKJGV//XXX3H58mXodDqEhYXh3nvvhb+/f5l64uPjkZycjKZNmzp+DNm6dStyc3Oxb98++Pn5Qa/X4/HHHy9X+4iIKiI+Ph5nzpxB/fr10alTJ+h0Okfa0aNHkZycjD59+uDw4cNITU1F+/btERYW5lSHzWbDrl27kJeXh3vvvRf5+flO084bNWqEvn37AgDOnTuH+Ph4ZGVlOeJbhw4dkJubW+aWstOnT+OPP/5wmr5ut9uxa9cu5Obm4t5773X7vk6fPo2EhAQEBwejffv2FbodSat9yfqntJ979+6N33//HampqXjssceg0+lgt9uxb98+pKSkoEmTJrjnnntctlOWR/Y+lcrv2bMHZ8+ehU6nQ506ddC2bVvUqVOnTD1Hjx5FUlISwsPD0aZNG+j1euzatQtpaWn4888/HZ/34MGD4evrW642ElHV4iCevNqVK1fw0EMP4dKlS2jdujX27t2Lnj17YtWqVTCZTACAb775Brt370ZJSQnCw8ORlpaG8+fPY9u2bWjdujUA4OLFi+jduzeKiopw9913IzExEQ0bNoTBYHAMUr/77jskJiaiV69eOH78OE6dOoVr165h/fr1AIAWLVrg008/RZ06dZwG8StWrEBcXJyjntTUVPTp0we5ublo1aoVEhIS0KhRIxgMBkeZvLw8jBw5Evv370eHDh1w8uRJWCwWxMTEOH5IUEOrfanpn9J+LiwsRMOGDdG0aVMMGjQICQkJGDx4MAICAtCgQQP8/vvvGDJkCL7++mvHl1E1eZSoKR8bG4tjx45BCIEzZ87gzJkzWL16teMLaVFREQYOHIhjx46hQ4cOOHPmDBo1aoS1a9dix44dyMvLc3yxNRgMHMQTkUcVFBTg0Ucfxb59+9C5c2fEx8ejcePG+OmnnxAYGAgA2LBhA7744gsEBwcjICAARUVFOHjwIDZs2IAHHngAAHDt2jX069cPZ86cQfv27XHkyBG0bNkSJ0+edAxSt2zZgvnz52PAgAFITk5GQkICcnJyHPEtKCgIW7dudcTAUr/99htmzZrlqCcvLw8PPfQQjh8/jg4dOuDw4cO4++67nd6X3W7H5MmTsW7dOnTp0gWXLl3C1atXsX79erRp00Z1/2i1LzX9U9rPQUFBCAgIQGhoKIYPH46//voLjzzyCPLz89G8eXPEx8ejbdu2WLNmDSwWCwAgOTlZmkeJmvIHDhxw3N538eJFHDp0CN98841TnBozZgx++uknREVF4eLFi7Barfjhhx+wb98+pKen4/jx447Pu3///hzEE93qBNEtLDY2VgAQSUlJLtMnT54s2rRpI7Kzs4UQQpw7d04EBQWJzz77zJFn0qRJwmw2i8OHDzu2/e1vfxNPPvmk4/X48eNFp06dRF5enhBCiOPHjwtfX1/Rq1cvR55p06aJBx980PH6pZdeEgMHDnRqz7Bhw8SkSZOctr355ptO9Tz99NOiU6dOIjc3VwghxNGjR4WPj49TnhdffFH07dtXFBQUCCGEsNvt4sknnxTDhg1z21cjRowQEyZMcNqm1b7U9M+kSZOEXq8Xe/fudWwrLi4WTZo0ER9++KFjW3p6uqhXr55YunSp6jxKKlr+gw8+EC1btnS83rx5s/D39xc5OTmObTExMaKoqEgIIURERIRYsGBBmXoSEhIEAHHp0iVpW4mISiUnJwsA4ueff3aZPmfOHBEWFiYuXrwohBAiIyNDNG/eXEydOtWRZ/bs2QKA2LRpk2Pb5MmTRffu3R2v33vvPRERESHS09OFEEKkpKSIu+66S0RERDjyzJs3T7Ro0cLx+tNPPxWRkZFO7bk5BgohxIIFC5zqef/990VERIS4fPmyEEKIS5cuidDQUKc8n3zyiYiMjBSZmZmObdOnTxcdOnRw2Q9CCPHaa6+Jvn37Om3Tal9q+qe0n1etWuXUhp49e4opU6YIu90uhBAiLy9PtGvXTvzjH/8oVx4lFSm/YsUKERQU5IjZx44dEwDEuXPnHHl2797tiFu9evUSb775Zpl6cnJyBADx+++/q2orEVUd3hNPXm3FihWYMmUKatasCQAIDw/H6NGjHVPCSkVFRTn9wl96Nb3UmjVr8Pzzzzt+eW7evDkGDx7skTavWrUKzz//PKxWKwCgZcuWeOSRRxzpdrsdixcvxj333IOYmBisWrUKq1atQlhYGLZt21Yt+1LbP126dEHnzp0dr3fu3InTp08jNDQUq1evxqpVq/Drr7+iadOmjvrV5FFSnvLJycnYunUrVqxYAaPRiGPHjiE7OxsA4Ovri6KiIhw9etSR/+GHH3bM6CAiqkrR0dEYN26cY2p8rVq18Nxzz5WJb40aNcJDDz3keN27d2+n+LZ69WqMGzfOsbp4SEgIRo8e7ZE2r1y5EuPGjXNM5Q4NDS2zr0WLFqFNmzb4+eefsWrVKqxcuRKBgYE4cOCA43xclftS2z9hYWEYPny44/Xp06exc+dONGnSBGvWrMGqVasQExODJk2aOGKPmjxKylM+LS0Nv/76K1asWIHCwkJkZGTg5MmTAAAfHx/odDocOXLEkb9bt24IDQ2VtoGIbk2cTk9eKzs7G1evXkXjxo2dtjdp0gQrV6502nbz/e8WiwUFBQWOerKystCwYUOnPA0bNsSlS5c0b3NmZmaZfTVq1MixQnFmZiaysrKQkJBQZkG/fv36wW63Q6+X//6m1b6uXbumun9uvg/z7NmzMBqN+PHHH522h4aGokWLFqrzKFFbfurUqViwYAE6deqEOnXqOD7/y5cvw9/fHz179sS0adPQv39/BAcHo2/fvnj66afRvn17aRuIiLR27tw5l/Ht0qVLKCoqgtlsBqAc34DrP166On97wvnz513GnBudPXsWVqsVq1evdto+YsQI5Ofnu1yrxJP7Uts/ruIbcP1WrRt/7DUYDI64oSaPErXlP/74Y8yYMQNt27ZFaGioI29aWhoAICIiAvPmzcOECRNgsVjQp08fjB07Fn369JG2gYhuTRzEk9eqWbMmfHx8kJGR4bQ9IyPD5YIu7vj5+cFsNpd5RFjp87/LQ6/Xw263O2278cuUn58fLBZLmbpvfF2jRg0YDAaMGTOmUldLtNpXefrn5vvX/f39UVxcjK+++goBAQEu61eTR4ma8keOHMHcuXNx/PhxNG/eHMD1hfh+/PFHCCEc+WbNmoWZM2fiwIEDWL58Obp06YIDBw6U6z5NIiIt1KlTx2V88/f3dwzg1QgKCqqS+AYAtWvXVow5wPVz9oABA/DOO++Uuw2e2Jfa/nEV3wBgxowZbmOEmjxK1JTPzMzEq6++ii1btqBfv34Arj+ed8WKFU7x7fnnn8ezzz6LhIQErF+/Hv3798f69eudnkpARN6D0+nJa+l0OnTr1g1r1651bLPb7Vi7di3uu+8+1fXo9Xp07doVGzZscGwrLi7Gpk2bFMv5+fmV+QJTr149x/Q1ABBCYMeOHU776tatm2PxGOD6qu8//fST47XFYkHv3r3x9ddfl/nCdOHChXK9Ly32VdH+Aa7ftuDj44OvvvrKabvNZnPMBlCTp7L7SElJgcVicbpKc/OVmZSUFNhsNhiNRnTp0gVz585FUFAQ9u/fD8D1501E5Cn33Xcf1q1b5zQQW716dbniG3D9drIbz98A8MMPPyiWcRffTp065dSem6d033fffU4xRwiBdevWOeV56KGHsHjxYuTn5zttL09803JfFekfAI6r3l9++WWZtIsXL6rOU9l9pKWlQQjhNPPs5vh25coVFBQUQK/Xo23btpgxYwbat2+PvXv3AmB8I/JGvBJPXuGnn35CSEiI07bBgwfjww8/RI8ePTB27Fh0794d69atQ0pKCt5+++1y1T9r1iz07dsXZrMZ7du3x/Lly5GXl6e4MnrHjh3x2Wef4fPPP0ft2rXRs2dPjBo1CvPmzcPUqVMRGRmJ9evX49y5c07PbX///ffRu3dvmM1mdOjQAd9//z0KCwud6p43bx769OmDXr164YknnkBxcTG2bduGunXrYsGCBarfl1b7qkj/AEBwcDDmzZuHZ599FidOnEC3bt1w4cIFrFmzBu+99x4GDx6sKk9l99GlSxfUqlULw4cPx+DBg/Hf//4Xq1atcqpn7969ePvttzF8+HCEh4dj586dKC4udjx2qWPHjli0aBH8/f3h4+PD1emJSBPbt29Henq607YHHngAM2fORPv27TF48GAMGjQI27Ztw7Zt27B79+5y1f/WW2+hffv2ePzxx9GvXz9s2rQJSUlJ8PPzc1umY8eOOHPmDP71r38hPDwcHTp0wLBhw/DGG29gzJgx6NWrF7Zv347Y2FjHmis37mv48OHo378/fvzxR5w5cwY1atRw5Hn//ffRo0cPdO7cGePHj4fZbMbvv/+O9PR0bN68udzvq7L7qkj/AIDJZMLChQsxbNgwXL58Gf3790d6ejpiYmLw5JNPYsqUKaryVHYfpY+cGzVqFMaNG4djx45h8eLFTvWcOXMGo0aNwmOPPYZmzZrhyJEjSEhIwPz58wFc/7yXLFmCVq1awWq18hFzRF6AV+LplhYcHIwRI0bg999/x/r1653+5efno0OHDoiPj0dISAji4uLQtWtXHDp0yGmxlk6dOpW5ctGiRQv87W9/c7zu0aMH4uLioNfrceTIETz77LN44oknHAvmAUC7du3Qu3dvx+vBgwfj888/x+HDh7F+/XqkpqaiY8eOiI2Nhc1mw5EjRzBp0iTMnz/f6Rnx3bt3x+7du2EymZCQkIApU6bgiy++cMpz9913448//sCQIUOwb98+JCcn45lnnpEO4E+fPo3o6GjHfXBa7UtN/7jqZwCYOHEi9u/fj+DgYOzcuRNCCKxYscJpcK4mjxJZ+YCAAOzZswctW7bEjh07UK9ePezcuRMjRoxwvIfBgwdj5cqVKCkpwc6dO9GwYUMcOnQIERERAIBPP/0UQ4cOxa+//uq4arNly5ZyfekkIipltVoxYsQInDx5skx8u3LlCsLDw3H48GG0a9cOsbGxiIiIQHx8vOPRqADQqlUrPPjgg0711q9f32kBtmbNmmHfvn2oV68eDhw4gIEDB+Lvf/+70/m7efPmTtOq7733Xqxbtw5nzpzBhg0bHM+p37dvH4KDg3HgwAE8+OCDWL58udMz4ps0aYJ9+/YhPDwcBw8edJxXb8wTEhKC+Ph4PPfcc0hMTMTx48fx8MMPY+PGjYr9lZqaiujoaJw5c0bTfanpH1f9DAADBgxAYmIiIiMjERcXh2vXrmHu3LlOg3M1eZTIyhsMBmzbtg19+/bFjh07YDKZsGfPHowYMcLxXahjx4749ddfYbVasWPHDvj4+ODAgQPo1KkTAOC1117DCy+8gLi4OMf3q7i4OKxZs0ZVG4mo6unEjfOiiO5Qubm5MJlMjvsMS0pK0Lp1azzxxBOYMWNGNbdOnX//+9+OKzTvvPOO09X/yrod+scTpk+f7lh4qKL39BMReZLdbkdOTo7T+alfv36oX78+Fi1aVI0tU2/58uWOH0+fffZZp2fVV9bt0D+e8PHHH2Pfvn0Ars/Ga9q0aTW3iIhuxEE8EYC//voLQ4cOxeOPPw6r1Yrly5fj3Llz2LdvX5lp/Hei6uyfCxcuIDY21mWawWDAY4895tH9ExF5s+LiYnTu3BnDhw9HcHAwYmJiEBcXh7i4OERGRlZ386pddfZPZmam4myuIUOGwMfHx6NtICLvxEE80f/zxx9/YNmyZUhLS0PLli3x9NNPq37UzZ2guvpn//79+Oijj1ymmc1mLFmyxONtICLyZufPn8d//vMfnD9/Ho0bN3Z6/jxVX/+cO3cOr732mtt0zvAiInc4iCciIiIiIiLyElzYjoiIiIiIiMhLcBBPRERERERE5CU4iCciIiIiIiLyEhzEExEREREREXkJDuKJiIiIiIiIvAQH8URERERERERegoN4IiIiIiIiIi/BQTwRERERERGRl+AgnoiIiIiIiMhL/H8AeN/1xBpsNAAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1000x500 with 3 Axes>"
       ]
@@ -677,7 +677,7 @@
     "ocean = ~lsm_subset[\"lsm\"].values\n",
     "masked_target = monthly_test_subset[var_name].where(ocean)\n",
     "masked_pred = predictions.where(ocean)\n",
-    "plot_results(masked_target, masked_pred, label=\"SST K\", title=(\"Target\", \"Prediction\"))"
+    "plot_results(masked_target, masked_pred, label=\"Water Vapour kg/m2\", title=(\"Target\", \"Prediction\"))"
    ]
   },
   {
@@ -688,7 +688,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x500 with 3 Axes>"
       ]
@@ -705,18 +705,18 @@
     "masked_err_baseline = err_baseline.where(ocean)\n",
     "masked_err_predictions = err_predictions.where(ocean) \n",
     "\n",
-    "plot_results(masked_err_baseline, masked_err_predictions, label=\"error K\", title=(\"err_Baseline\", \"err_Prediction\"), error=True)"
+    "plot_results(masked_err_baseline, masked_err_predictions, label=\"error kg/m2\", title=(\"err_Baseline\", \"err_Prediction\"), error=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 30,
    "id": "a7420dc7-fe1b-4f34-a62e-5914091f04b7",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x400 with 1 Axes>"
       ]
@@ -726,16 +726,8 @@
     }
    ],
    "source": [
-    "plot_histograms(masked_err_baseline, masked_err_predictions, label=\"error K\", legend_labels=(\"err_Baseline\", \"err_Prediction\"))"
+    "plot_histograms(masked_err_baseline, masked_err_predictions, label=\"error kg/m2\", legend_labels=(\"err_Baseline\", \"err_Prediction\"))"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ac292857-aa28-4c23-95a1-ee5ae188499c",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

From e04c2f4901902be544a78ba9629c2baf3c0bfd15 Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Tue, 8 Sep 2026 11:32:00 +0200
Subject: [PATCH 27/38] init hourly watervapo notebook

---
 .../training_hourly_watervapor.ipynb          | 859 +++++++++++-------
 1 file changed, 531 insertions(+), 328 deletions(-)

diff --git a/notebooks/watervapor/training_hourly_watervapor.ipynb b/notebooks/watervapor/training_hourly_watervapor.ipynb
index e2b4ff1..b556a9e 100644
--- a/notebooks/watervapor/training_hourly_watervapor.ipynb
+++ b/notebooks/watervapor/training_hourly_watervapor.ipynb
@@ -12,16 +12,13 @@
     "import torch\n",
     "import torch.nn.functional\n",
     "from climanet.st_encoder_decoder import SpatioTemporalModel\n",
-    "from climanet.utils import pred_to_numpy, set_seed, configure_compute_resources, plot_results, plot_histograms\n",
-    "from climanet.train import train_monthly_model\n",
-    "from climanet.predict import predict_monthly_var\n",
-    "from climanet import STDataset\n",
+    "from climanet.utils import set_seed, configure_compute_resources, plot_results, plot_histograms, plot_loss, data_preparation, read_st_data, add_month_day_dims\n",
+    "from climanet.train import train_monthly_model, TrainConfig\n",
+    "from climanet.predict import predict_monthly_var, PredictionConfig\n",
+    "from climanet.dataset import STDataset, DataLoaderConfig\n",
     "\n",
-    "from torch.utils.data import random_split\n",
     "from tbparse import SummaryReader\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "import time"
+    "import matplotlib.pyplot as plt"
    ]
   },
   {
@@ -34,7 +31,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "f383c4c8-0199-4092-be12-07be525fdec1",
    "metadata": {
     "scrolled": true
@@ -42,31 +39,46 @@
    "outputs": [],
    "source": [
     "# without diurnal cycle\n",
-    "data_folder = Path(\"./eso4clima/watervapor\")\n",
-    "run_dir = \"./runs_hourly_watervapor\"\n",
+    "data_folder = Path(\"../eso4clima/watervapor\")\n",
+    "run_dir = Path(\"./runs_hourly\").resolve()\n",
     "var_name = \"prw\"\n",
     "\n",
-    "file_names = [data_folder / f\"202001_hr_ERA5_masked_{var_name}.nc\", data_folder / f\"202002_hr_ERA5_masked_{var_name}.nc\"]\n",
-    "hourly_data = xr.open_mfdataset(file_names, chunks={\"time\": 1, \"latitude\": 80, \"longitude\": 80}).sortby(\"lat\")\n",
-    "\n",
-    "file_names = [data_folder / f\"202001_mon_ERA5_full_{var_name}.nc\", data_folder / f\"202002_mon_ERA5_full_{var_name}.nc\"]\n",
-    "monthly_data = xr.open_mfdataset(file_names, chunks={\"time\": 1, \"latitude\": 80, \"longitude\": 80}).sortby(\"lat\")\n",
+    "# 1 month train, 1 month validation and test\n",
+    "hourly_data = xr.open_mfdataset(data_folder / f\"202001_hr_ERA5_masked_{var_name}.nc\")\n",
+    "hourly_data_validation = xr.open_mfdataset(data_folder / f\"202101_hr_ERA5_masked_{var_name}.nc\")\n",
+    "hourly_data_test = xr.open_mfdataset(data_folder / f\"202201_hr_ERA5_masked_{var_name}.nc\")\n",
     "\n",
-    "file_name = data_folder / \"era5_lsm_bool.nc\"  # downloded from era5 and regridded using the function `regrid_to_boundary_centered_grid`\n",
-    "lsm_mask = xr.open_dataset(file_name)\n",
-    "lsm_mask = lsm_mask.rename({'latitude': 'lat', 'longitude': 'lon'})\n",
+    "monthly_data = xr.open_mfdataset(data_folder / f\"202001_mon_ERA5_full_{var_name}.nc\")\n",
+    "monthly_data_validation = xr.open_mfdataset(data_folder / f\"202101_mon_ERA5_full_{var_name}.nc\")\n",
+    "monthly_data_test = xr.open_mfdataset(data_folder / f\"202201_mon_ERA5_full_{var_name}.nc\")\n",
     "\n",
-    "# Down sample mask to match the resolution of the monthly data\n",
-    "lsm_mask = lsm_mask.coarsen(lat=2, lon=2, boundary='trim').mean()\n",
-    "# Set <0.5 to 0 and >=0.5 to 1\n",
-    "lsm_mask = (lsm_mask >= 0.5).astype(bool)"
+    "# water vapor uses a dedicated coarser-resolution land-sea mask\n",
+    "file_name = data_folder / \"era5_lsm_bool_05.nc\"\n",
+    "lsm_mask = xr.open_dataset(file_name)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 3,
    "id": "58568e58",
    "metadata": {},
+   "outputs": [],
+   "source": [
+    "# sort in lat dimension to make it ascending\n",
+    "hourly_data = hourly_data.sortby(\"lat\")\n",
+    "hourly_data_validation = hourly_data_validation.sortby(\"lat\")\n",
+    "hourly_data_test = hourly_data_test.sortby(\"lat\")\n",
+    "\n",
+    "monthly_data = monthly_data.sortby(\"lat\")\n",
+    "monthly_data_validation = monthly_data_validation.sortby(\"lat\")\n",
+    "monthly_data_test = monthly_data_test.sortby(\"lat\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "806c70d2",
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -613,85 +625,33 @@
        "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
        "  stroke-width: 0.8px;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2MB\n",
-       "Dimensions:    (time: 2, bnds: 2, lat: 320, lon: 720)\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 686MB\n",
+       "Dimensions:  (time: 744, lat: 320, lon: 720)\n",
        "Coordinates:\n",
-       "  * time       (time) datetime64[ns] 16B 2020-01-16T11:30:00 2020-02-15T11:30:00\n",
-       "  * lat        (lat) float32 1kB -79.75 -79.25 -78.75 ... 78.75 79.25 79.75\n",
-       "  * lon        (lon) float32 3kB -179.8 -179.2 -178.8 ... 178.8 179.2 179.8\n",
-       "Dimensions without coordinates: bnds\n",
+       "  * time     (time) datetime64[ns] 6kB 2020-01-01 ... 2020-01-31T23:00:00\n",
+       "  * lat      (lat) float32 1kB -79.75 -79.25 -78.75 -78.25 ... 78.75 79.25 79.75\n",
+       "  * lon      (lon) float32 3kB -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
        "Data variables:\n",
-       "    time_bnds  (time, bnds) datetime64[ns] 32B dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
-       "    prw        (time, lat, lon) float32 2MB dask.array&lt;chunksize=(1, 320, 720), meta=np.ndarray&gt;\n",
-       "Attributes:\n",
+       "    prw      (time, lat, lon) float32 686MB dask.array&lt;chunksize=(1, 320, 720), meta=np.ndarray&gt;\n",
+       "Attributes: (12/18)\n",
        "    CDI:                     Climate Data Interface version 2.2.4 (https://mp...\n",
        "    Conventions:             CF-1.7\n",
        "    institution:             European Centre for Medium-Range Weather Forecasts\n",
        "    GRIB_centre:             ecmf\n",
        "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
-       "    history:                 Mon Jul 06 10:02:21 2026: cdo monmean /work/bd08...\n",
-       "    regrid_method:           bilinear\n",
-       "    frequency:               mon\n",
-       "    CDO:                     Climate Data Operators version 2.2.2 (https://mp...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-29e64d1a-1c5a-4e12-b0d0-2eb8b1891af6' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-29e64d1a-1c5a-4e12-b0d0-2eb8b1891af6' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 320</li><li><span class='xr-has-index'>lon</span>: 720</li></ul></div></li><li class='xr-section-item'><input id='section-44f48889-5898-4b67-a5be-ed6fea547bef' class='xr-section-summary-in' type='checkbox' checked /><label for='section-44f48889-5898-4b67-a5be-ed6fea547bef' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-16T11:30:00 2020-02-15T1...</div><input id='attrs-ff86ba65-9ae6-4e84-a302-0a1965857048' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff86ba65-9ae6-4e84-a302-0a1965857048' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba496aa9-e937-4e6c-ae7f-b9b8b4f2f84b' class='xr-var-data-in' type='checkbox'><label for='data-ba496aa9-e937-4e6c-ae7f-b9b8b4f2f84b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-01-16T11:30:00.000000000&#x27;, &#x27;2020-02-15T11:30:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-79.75 -79.25 ... 79.25 79.75</div><input id='attrs-4056878a-fb80-49bd-afa6-be42ad4d2bc2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4056878a-fb80-49bd-afa6-be42ad4d2bc2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e6e636d-edee-45ae-b306-93081100bd31' class='xr-var-data-in' type='checkbox'><label for='data-0e6e636d-edee-45ae-b306-93081100bd31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-79.75, -79.25, -78.75, ...,  78.75,  79.25,  79.75],\n",
-       "      shape=(320,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.8 -179.2 ... 179.2 179.8</div><input id='attrs-2faa4c3c-f975-4635-81e2-edef40e3f719' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2faa4c3c-f975-4635-81e2-edef40e3f719' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28560499-1ee7-42b7-a8d0-71290b71a625' class='xr-var-data-in' type='checkbox'><label for='data-28560499-1ee7-42b7-a8d0-71290b71a625' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-179.75, -179.25, -178.75, ...,  178.75,  179.25,  179.75],\n",
-       "      shape=(720,), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8960fa3d-8153-4767-9ff3-4773f568b715' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8960fa3d-8153-4767-9ff3-4773f568b715' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-45ffa115-769a-4485-9c83-b1609661666f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-45ffa115-769a-4485-9c83-b1609661666f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95866d08-e868-45f1-8378-fc6923f2e3ae' class='xr-var-data-in' type='checkbox'><label for='data-95866d08-e868-45f1-8378-fc6923f2e3ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 32 B </td>\n",
-       "                        <td> 16 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (2, 2) </td>\n",
-       "                        <td> (1, 2) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 2 chunks in 5 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> datetime64[ns] numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
-       "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"60.0\" y=\"140.0\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
-       "  <text x=\"140.0\" y=\"60.0\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.0,60.0)\">2</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>prw</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 320, 720), meta=np.ndarray&gt;</div><input id='attrs-bddaa400-e1c7-4afb-af47-96321465482f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bddaa400-e1c7-4afb-af47-96321465482f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5f67a2e-c5ae-4da2-a359-43ef29a40880' class='xr-var-data-in' type='checkbox'><label for='data-a5f67a2e-c5ae-4da2-a359-43ef29a40880' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>atmosphere_mass_content_of_water_vapor</dd><dt><span>long_name :</span></dt><dd>Water Vapor Path</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>GRIB_paramId :</span></dt><dd>137</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tcwv</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>GRIB_shortName :</span></dt><dd>tcwv</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>GRIB_surface :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    history:                 Mon Jul 06 10:02:22 2026: cdo cat /work/bd0854/b...\n",
+       "    ...                      ...\n",
+       "    comment:                 1D-Var: Algorithm Theoretical Baseline Document ...\n",
+       "    cell_methods:            area: mean time: point\n",
+       "    code:                    3\n",
+       "    grid_mapping:            crs\n",
+       "    ancillary_variables:     numo stdv quality_flag_1dvar scat_ratio wvpa_err...\n",
+       "    CDO:                     Climate Data Operators version 2.2.2 (https://mp...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-257fe431-323a-48c3-93f9-04d1ff9f607f' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-257fe431-323a-48c3-93f9-04d1ff9f607f' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 744</li><li><span class='xr-has-index'>lat</span>: 320</li><li><span class='xr-has-index'>lon</span>: 720</li></ul></div></li><li class='xr-section-item'><input id='section-3c0d2ec9-e5f0-41e3-ba55-ede07ce8f3ae' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3c0d2ec9-e5f0-41e3-ba55-ede07ce8f3ae' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-01 ... 2020-01-31T23:00:00</div><input id='attrs-7c91fccc-9ed2-4a6a-99f9-b715b9c5e230' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c91fccc-9ed2-4a6a-99f9-b715b9c5e230' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0fcc8fe-600d-4762-9a69-445c01ee4ac6' class='xr-var-data-in' type='checkbox'><label for='data-b0fcc8fe-600d-4762-9a69-445c01ee4ac6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-01-01T00:00:00.000000000&#x27;, &#x27;2020-01-01T01:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-01T02:00:00.000000000&#x27;, ..., &#x27;2020-01-31T21:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-31T22:00:00.000000000&#x27;, &#x27;2020-01-31T23:00:00.000000000&#x27;],\n",
+       "      shape=(744,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-79.75 -79.25 ... 79.25 79.75</div><input id='attrs-e7417555-e322-4861-9068-d9f5ddb90911' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7417555-e322-4861-9068-d9f5ddb90911' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78b34b77-b833-414e-9141-4a24fcefd883' class='xr-var-data-in' type='checkbox'><label for='data-78b34b77-b833-414e-9141-4a24fcefd883' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-79.75, -79.25, -78.75, ...,  78.75,  79.25,  79.75],\n",
+       "      shape=(320,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.8 -179.2 ... 179.2 179.8</div><input id='attrs-7e54a562-d952-481f-8c1d-52f8815e436d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e54a562-d952-481f-8c1d-52f8815e436d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-788eb86d-c70a-46fa-a04c-2adc7e0fd53a' class='xr-var-data-in' type='checkbox'><label for='data-788eb86d-c70a-46fa-a04c-2adc7e0fd53a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-179.75, -179.25, -178.75, ...,  178.75,  179.25,  179.75],\n",
+       "      shape=(720,), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c21d3865-d928-4032-9cd5-7f7a439c172f' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c21d3865-d928-4032-9cd5-7f7a439c172f' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>prw</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 320, 720), meta=np.ndarray&gt;</div><input id='attrs-3c6c280e-446c-4e70-a93c-a362a13a6768' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c6c280e-446c-4e70-a93c-a362a13a6768' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3a194cf-4620-4937-b5b3-69ec98584adf' class='xr-var-data-in' type='checkbox'><label for='data-f3a194cf-4620-4937-b5b3-69ec98584adf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>atmosphere_mass_content_of_water_vapor</dd><dt><span>long_name :</span></dt><dd>Water Vapor Path</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>code :</span></dt><dd>3</dd><dt><span>GRIB_paramId :</span></dt><dd>137</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tcwv</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>GRIB_shortName :</span></dt><dd>tcwv</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>GRIB_surface :</span></dt><dd>0.0</dd><dt><span>C_format :</span></dt><dd>%6.2f</dd><dt><span>FORTRAN_format :</span></dt><dd>F6.2</dd><dt><span>comment :</span></dt><dd>1D-Var: Algorithm Theoretical Baseline Document HOAPS version 5.0; 2025</dd><dt><span>cell_methods :</span></dt><dd>area: mean time: point</dd><dt><span>ancillary_variables :</span></dt><dd>numo stdv quality_flag_1dvar scat_ratio wvpa_err wvpa_err_sq satm</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -706,18 +666,18 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 1.76 MiB </td>\n",
+       "                        <td> 653.91 MiB </td>\n",
        "                        <td> 900.00 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (2, 320, 720) </td>\n",
+       "                        <td> (744, 320, 720) </td>\n",
        "                        <td> (1, 320, 720) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 2 chunks in 6 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 744 chunks in 3 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -727,85 +687,119 @@
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        "        </td>\n",
        "        <td>\n",
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-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-1c14752b-cd84-4ffc-b2fe-825f8ee8e198' class='xr-section-summary-in' type='checkbox' checked /><label for='section-1c14752b-cd84-4ffc-b2fe-825f8ee8e198' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 2.2.4 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>history :</span></dt><dd>Mon Jul 06 10:02:21 2026: cdo monmean /work/bd0854/b380103/eso4clima/output/watervapor/concatenated/202001_day_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/concatenated/202001_mon_ERA5_full_prw.nc\n",
-       "Mon Jul 06 10:02:21 2026: cdo daymean /work/bd0854/b380103/eso4clima/output/watervapor/concatenated/202001_hr_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/concatenated/202001_day_ERA5_full_prw.nc\n",
-       "Mon Jul 06 10:02:16 2026: cdo cat /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200101_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200102_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200103_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200104_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200105_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200106_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200107_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200108_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200109_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200110_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200111_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200112_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200113_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200114_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200115_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200116_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200117_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200118_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200119_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200120_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200121_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200122_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200123_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200124_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200125_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200126_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200127_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200128_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200129_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200130_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200131_ERA5_full_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/concatenated/202001_hr_ERA5_full_prw.nc\n",
-       "2026-05-04T06:44 GRIB to CDM+CF via cfgrib-0.9.15.1/ecCodes-2.42.0 with {&quot;source&quot;: &quot;tmp7hm0rmx9/data.grib&quot;, &quot;filter_by_keys&quot;: {&quot;stream&quot;: [&quot;oper&quot;], &quot;stepType&quot;: [&quot;instant&quot;]}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd><dt><span>regrid_method :</span></dt><dd>bilinear</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 2.2.2 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-e22dd787-080a-4c43-ad17-18b346a39a56' class='xr-section-summary-in' type='checkbox' /><label for='section-e22dd787-080a-4c43-ad17-18b346a39a56' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(18)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 2.2.4 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>history :</span></dt><dd>Mon Jul 06 10:02:22 2026: cdo cat /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200101_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200102_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200103_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200104_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200105_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200106_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200107_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200108_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200109_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200110_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200111_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200112_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200113_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200114_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200115_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200116_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200117_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200118_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200119_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200120_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200121_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200122_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200123_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200124_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200125_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200126_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200127_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200128_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200129_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200130_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200131_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/concatenated/202001_hr_ERA5_masked_prw.nc\n",
+       "2026-05-04T06:44 GRIB to CDM+CF via cfgrib-0.9.15.1/ecCodes-2.42.0 with {&quot;source&quot;: &quot;tmp7hm0rmx9/data.grib&quot;, &quot;filter_by_keys&quot;: {&quot;stream&quot;: [&quot;oper&quot;], &quot;stepType&quot;: [&quot;instant&quot;]}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd><dt><span>regrid_method :</span></dt><dd>bilinear</dd><dt><span>long_name :</span></dt><dd>Water Vapor Path</dd><dt><span>standard_name :</span></dt><dd>atmosphere_mass_content_of_water_vapor</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>C_format :</span></dt><dd>%6.2f</dd><dt><span>FORTRAN_format :</span></dt><dd>F6.2</dd><dt><span>comment :</span></dt><dd>1D-Var: Algorithm Theoretical Baseline Document HOAPS version 5.0; 2025</dd><dt><span>cell_methods :</span></dt><dd>area: mean time: point</dd><dt><span>code :</span></dt><dd>3</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ancillary_variables :</span></dt><dd>numo stdv quality_flag_1dvar scat_ratio wvpa_err wvpa_err_sq satm</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 2.2.2 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.Dataset> Size: 2MB\n",
-       "Dimensions:    (time: 2, bnds: 2, lat: 320, lon: 720)\n",
+       "<xarray.Dataset> Size: 686MB\n",
+       "Dimensions:  (time: 744, lat: 320, lon: 720)\n",
        "Coordinates:\n",
-       "  * time       (time) datetime64[ns] 16B 2020-01-16T11:30:00 2020-02-15T11:30:00\n",
-       "  * lat        (lat) float32 1kB -79.75 -79.25 -78.75 ... 78.75 79.25 79.75\n",
-       "  * lon        (lon) float32 3kB -179.8 -179.2 -178.8 ... 178.8 179.2 179.8\n",
-       "Dimensions without coordinates: bnds\n",
+       "  * time     (time) datetime64[ns] 6kB 2020-01-01 ... 2020-01-31T23:00:00\n",
+       "  * lat      (lat) float32 1kB -79.75 -79.25 -78.75 -78.25 ... 78.75 79.25 79.75\n",
+       "  * lon      (lon) float32 3kB -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
        "Data variables:\n",
-       "    time_bnds  (time, bnds) datetime64[ns] 32B dask.array<chunksize=(1, 2), meta=np.ndarray>\n",
-       "    prw        (time, lat, lon) float32 2MB dask.array<chunksize=(1, 320, 720), meta=np.ndarray>\n",
-       "Attributes:\n",
+       "    prw      (time, lat, lon) float32 686MB dask.array<chunksize=(1, 320, 720), meta=np.ndarray>\n",
+       "Attributes: (12/18)\n",
        "    CDI:                     Climate Data Interface version 2.2.4 (https://mp...\n",
        "    Conventions:             CF-1.7\n",
        "    institution:             European Centre for Medium-Range Weather Forecasts\n",
        "    GRIB_centre:             ecmf\n",
        "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
-       "    history:                 Mon Jul 06 10:02:21 2026: cdo monmean /work/bd08...\n",
-       "    regrid_method:           bilinear\n",
-       "    frequency:               mon\n",
+       "    history:                 Mon Jul 06 10:02:22 2026: cdo cat /work/bd0854/b...\n",
+       "    ...                      ...\n",
+       "    comment:                 1D-Var: Algorithm Theoretical Baseline Document ...\n",
+       "    cell_methods:            area: mean time: point\n",
+       "    code:                    3\n",
+       "    grid_mapping:            crs\n",
+       "    ancillary_variables:     numo stdv quality_flag_1dvar scat_ratio wvpa_err...\n",
        "    CDO:                     Climate Data Operators version 2.2.2 (https://mp..."
       ]
      },
-     "execution_count": 20,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "monthly_data"
+    "hourly_data"
    ]
   },
   {
@@ -818,7 +812,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
    "id": "c61aee7b-6083-4466-883c-19aa9a03cfca",
    "metadata": {},
    "outputs": [
@@ -826,182 +820,332 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "(1440, 80, 200) (2, 80, 200)\n"
+      "(744, 40, 40) (1, 40, 40)\n"
      ]
     }
    ],
    "source": [
     "# coordinates of subset\n",
-    "lon_subset = slice(-50, 50) \n",
-    "lat_subset = slice(-30, 10)\n",
+    "lon_subset = slice(-10, 10)\n",
+    "lat_subset = slice(-10, 10)\n",
     "\n",
-    "hourly_subset = hourly_data.sel(lon=lon_subset, lat=lat_subset).compute()\n",
-    "monthly_subset = monthly_data.sel(lon=lon_subset, lat=lat_subset).compute()\n",
+    "hourly_subset = hourly_data.sel(lon=lon_subset, lat=lat_subset)\n",
+    "monthly_subset = monthly_data.sel(lon=lon_subset, lat=lat_subset)\n",
     "lsm_subset = lsm_mask.sel(lon=lon_subset, lat=lat_subset)  # True=Land\n",
     "\n",
+    "hourly_validation_subset = hourly_data_validation.sel(lon=lon_subset, lat=lat_subset)\n",
+    "monthly_validation_subset = monthly_data_validation.sel(lon=lon_subset, lat=lat_subset)\n",
+    "\n",
+    "hourly_test_subset = hourly_data_test.sel(lon=lon_subset, lat=lat_subset)\n",
+    "monthly_test_subset = monthly_data_test.sel(lon=lon_subset, lat=lat_subset)\n",
+    "\n",
     "print(hourly_subset[var_name].shape, monthly_subset[var_name].shape)  # (time, lat, lon)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "5b0cccab",
+   "metadata": {},
+   "source": [
+    "## Train the model"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "id": "65edf290-5a9e-4c88-9701-a6ca84c058ff",
+   "execution_count": 6,
+   "id": "1ceb7756-f274-4823-bded-87c0f8f16a79",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# calculate residuals as target\n",
-    "hourly_subset_averaged = hourly_subset.resample(time=\"MS\").mean(skipna=True)\n",
-    "hourly_subset_averaged[\"time\"] = monthly_subset[\"time\"]\n",
+    "# create the model (small)\n",
+    "set_seed()\n",
     "\n",
-    "# Residuals\n",
-    "monthly_subset_res = monthly_subset - hourly_subset_averaged"
+    "patch_size = (1, 4, 4)\n",
+    "model = SpatioTemporalModel(patch_size=patch_size, embed_dim=64, dropout=0.2, hidden=64)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "a9d056b8-2cb1-42af-94d6-9fb58586dcbc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Device and resources\n",
+    "compute_threads = 4\n",
+    "dataloader_num_workers = 2\n",
+    "device = \"cpu\" # \"cuda\"\n",
+    "model = configure_compute_resources(model, device=device, compute_threads=compute_threads, dataloader_num_workers=dataloader_num_workers)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "8b69667c-18f9-4f2b-b7ff-0f737a6e1543",
+   "id": "082e4c9e",
    "metadata": {},
    "source": [
-    "## Train the model"
+    "### Build the datasets"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "945ec311-53b3-4cac-a1e3-d16f4508e7a7",
+   "metadata": {},
+   "source": [
+    "#### Prepare the train data"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "1ceb7756-f274-4823-bded-87c0f8f16a79",
+   "execution_count": 8,
+   "id": "c17c2f1f",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# create the model (small)\n",
-    "set_seed()\n",
-    "\n",
-    "patch_size = (1, 4, 4)\n",
-    "model = SpatioTemporalModel(patch_size=patch_size, overlap=2, embed_dim=64, dropout=0.2, hidden=64)"
+    "# this should be done once\n",
+    "data_dir = Path(f\"{run_dir}/data_train\")\n",
+    "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = data_preparation(\n",
+    "    hourly_subset[var_name], monthly_subset[var_name], calculate_residuals=True, is_hourly=True, save_to_zarr=True, run_dir=data_dir,\n",
+    ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "id": "a9d056b8-2cb1-42af-94d6-9fb58586dcbc",
+   "execution_count": 9,
+   "id": "67b469b6-5d61-4ff1-a54f-f077965b8979",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# read data\n",
+    "data_dir = f\"{run_dir}/data_train\"\n",
+    "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = read_st_data(data_path=data_dir, var_name=var_name)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "b9742e67-165f-4b5a-bab0-27b8b0d7070d",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Patch grid (m x i x j): 2 x 6 x 21 = 252 patches\n",
+      "Creating dataset:\n",
+      "Crop grid (m x i x j): 1 x 1 x 1 = 1 data crops\n",
       "Overlap: 32 pixels (height), 32 pixels (width)\n",
-      "252\n"
+      "1\n"
      ]
     }
    ],
    "source": [
-    "# create dataset\n",
-    "num_patches = (10, 10)\n",
-    "spatial_patch_size = (patch_size[1]*num_patches[0], patch_size[2]*num_patches[1])\n",
-    "stride = (spatial_patch_size[0] // 5, spatial_patch_size[1] // 5)\n",
+    "# create dataset config\n",
+    "num_subsets = (10, 10)\n",
+    "spatial_crop_size = (patch_size[1]*num_subsets[0], patch_size[2]*num_subsets[1])\n",
+    "stride = (spatial_crop_size[0] // 5, spatial_crop_size[1] // 5)  # for data agumentation\n",
     "\n",
-    "dataset = STDataset(\n",
-    "    input_da=hourly_subset[var_name],\n",
-    "    monthly_da=monthly_subset_res[var_name],\n",
+    "dataset_train = STDataset(\n",
+    "    input_da=input_da,\n",
+    "    input_da_nan_mask=input_da_nan_mask,\n",
+    "    monthly_da=monthly_da,\n",
+    "    padded_days_mask=padded_days_mask,\n",
+    "    time_features=time_features,\n",
     "    land_mask=lsm_subset[\"lsm\"],\n",
-    "    patch_size=(1, *spatial_patch_size),  # based on the patch_size in model\n",
+    "    model_patch_size=patch_size,\n",
+    "    crop_size=(1, *spatial_crop_size),   # based on the patch_size in model\n",
     "    stride=stride,\n",
     "    sh_embed_dim=96,\n",
     "    sh_order_L = 10,\n",
-    "    is_hourly=True,\n",
-    "    \n",
+    "    verbose=True,\n",
+    "    load_lazy=True,\n",
     ")\n",
-    "print(len(dataset))"
+    "print(len(dataset_train))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e27a96aa-5560-47b6-91eb-dc4530dca090",
+   "metadata": {},
+   "source": [
+    "#### Prepare validation data"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "id": "efa3cc2f-392d-4130-bdc8-2887202d2cb4",
+   "execution_count": 11,
+   "id": "ff6159b3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# this should be done once\n",
+    "data_dir = f\"{run_dir}/data_validation\"\n",
+    "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = data_preparation(\n",
+    "    hourly_validation_subset[var_name], monthly_validation_subset[var_name], calculate_residuals=True, is_hourly=True, save_to_zarr=True, run_dir=data_dir,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "343c5dce",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# read data\n",
+    "data_dir = f\"{run_dir}/data_validation\"\n",
+    "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = read_st_data(data_path=data_dir, var_name=var_name)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "7c2deb40-bee8-4973-80f0-9d9485eabf0c",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "151 75 26\n"
+      "Creating dataset:\n",
+      "Crop grid (m x i x j): 1 x 1 x 1 = 1 data crops\n",
+      "Overlap: 32 pixels (height), 32 pixels (width)\n",
+      "1\n"
      ]
     }
    ],
    "source": [
-    "# create train test data\n",
-    "generator = torch.Generator().manual_seed(42)\n",
-    "train_size = int(0.6 * len(dataset))\n",
-    "validation_size = int(0.3 * len(dataset))\n",
-    "test_size = len(dataset) - train_size - validation_size\n",
-    "train_dataset, validation_dataset, test_dataset = random_split(dataset, [train_size, validation_size, test_size], generator=generator)\n",
-    "print(len(train_dataset), len(validation_dataset), len(test_dataset))"
+    "num_subsets = (10, 10)\n",
+    "spatial_crop_size = (patch_size[1]*num_subsets[0], patch_size[2]*num_subsets[1])\n",
+    "stride = (spatial_crop_size[0] // 5, spatial_crop_size[1] // 5)  # for data agumentation\n",
+    "\n",
+    "dataset_validation = STDataset(\n",
+    "    input_da=input_da,\n",
+    "    input_da_nan_mask=input_da_nan_mask,\n",
+    "    monthly_da=monthly_da,\n",
+    "    padded_days_mask=padded_days_mask,\n",
+    "    time_features=time_features,\n",
+    "    land_mask=lsm_subset[\"lsm\"],\n",
+    "    model_patch_size=patch_size,\n",
+    "    crop_size=(1, *spatial_crop_size),   # based on the patch_size in model\n",
+    "    stride=stride,\n",
+    "    sh_embed_dim=96,\n",
+    "    sh_order_L = 10,\n",
+    "    verbose=True,\n",
+    "    load_lazy=True,\n",
+    ")\n",
+    "print(len(dataset_validation))"
    ]
   },
   {
-   "cell_type": "markdown",
-   "id": "945ec311-53b3-4cac-a1e3-d16f4508e7a7",
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "200264a1-c3cb-42d2-95eb-887259ed63cb",
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "DataLoaderConfig(batch_size=10, shuffle=True, num_workers=2, pin_memory=True, persistent_workers=True, device='cpu', multiprocessing_context='spawn')"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "### Start training loop"
+    "# create dataloader config\n",
+    "dataloader_config = DataLoaderConfig(\n",
+    "    batch_size=10,\n",
+    "    shuffle=True,\n",
+    "    num_workers=dataloader_num_workers,\n",
+    "    pin_memory=True,\n",
+    "    persistent_workers=True,\n",
+    "    device=device,\n",
+    "    multiprocessing_context=\"spawn\", # keep this when num_workers >0 and lazy data\n",
+    ")\n",
+    "dataloader_config"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "id": "67b469b6-5d61-4ff1-a54f-f077965b8979",
+   "execution_count": 15,
+   "id": "74c0cfd5-4ebf-4df6-b788-19563a76155b",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "TrainConfig(calculate_residuals=True, num_epoch=100, patience=10, accumulation_steps=2, optimizer_lr=0.001, optimizer_weight_decay=0.01, scheduler_lr_factor=0.1, scheduler_min_lr=1e-05, device='cpu', verbose=True, verbose_epoch_interval=20, tune_checkpoint=False, store_model=True, store_logs=True)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Device and resources\n",
-    "compute_threads = 4\n",
-    "dataloader_num_workers = 2\n",
-    "device = \"cpu\" # use cuda if GPU is available\n",
-    "model = configure_compute_resources(model, device=device, compute_threads=compute_threads, dataloader_num_workers=dataloader_num_workers)"
+    "# create training config\n",
+    "training_config = TrainConfig(\n",
+    "    calculate_residuals=True,\n",
+    "    num_epoch=100,\n",
+    "    patience=10,\n",
+    "    accumulation_steps=2,\n",
+    "    optimizer_lr=1e-3,\n",
+    "    device=device,\n",
+    "    verbose=True,\n",
+    "    verbose_epoch_interval=20,\n",
+    "    tune_checkpoint=False,\n",
+    "    store_model=True,\n",
+    ")\n",
+    "training_config"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0afcf1c1",
+   "metadata": {},
+   "source": [
+    "### Start training loop"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "id": "b9742e67-165f-4b5a-bab0-27b8b0d7070d",
+   "execution_count": 16,
+   "id": "3b0e3f24-c9d0-48e8-858a-48deb8d000d2",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Epoch 0: gap between train and val loss: -0.291461\n",
-      "Epoch 0: best_loss = 0.234995\n",
-      "Epoch 20: gap between train and val loss: 0.001581\n",
-      "Epoch 20: best_loss = 0.146412\n",
-      "Epoch 40: gap between train and val loss: 0.002941\n",
-      "Epoch 40: best_loss = 0.145509\n",
-      "Epoch 60: gap between train and val loss: 0.001709\n",
-      "Epoch 60: best_loss = 0.145403\n",
-      "Epoch 80: gap between train and val loss: 0.004099\n",
-      "Epoch 80: best_loss = 0.145300\n",
-      "Training complete. Best loss: 0.145300\n",
-      "Model saved to runs_hourly_watervapor/best_model.pth\n",
-      "63.05\n"
+      "Epoch 0: gap between train and val loss: 0.099486\n",
+      "Epoch 0: best_loss = 0.344474\n",
+      "Epoch 20: gap between train and val loss: -0.015015\n",
+      "Epoch 20: best_loss = 0.136149\n",
+      "Early stopping triggered at epoch 35. Best loss: 0.131105\n",
+      "Training complete. Best loss: 0.131105\n",
+      "Model saved to /home/oku/Developments/ESO4Clima/ClimaNet/notebooks/watervapor/runs_hourly/best_model.pth\n",
+      "CPU times: user 56.8 s, sys: 7.59 s, total: 1min 4s\n",
+      "Wall time: 3min 12s\n"
      ]
     }
    ],
    "source": [
-    "start = time.time()\n",
+    "%%time\n",
     "# verbose is True\n",
-    "batch_size = 10\n",
     "trained_model = train_monthly_model(\n",
-    "    model, train_dataset, validation_dataset=validation_dataset, batch_size=batch_size, num_epoch=100, accumulation_steps=20, device=device, run_dir=run_dir, dataloader_num_workers=dataloader_num_workers,\n",
-    ")\n",
-    "\n",
-    "total_time = (time.time() - start) / 60.0\n",
-    "print(f\"{total_time:.2f}\")"
+    "    model=model,\n",
+    "    dataset_train=dataset_train,\n",
+    "    dataloader_config=dataloader_config,\n",
+    "    training_config=training_config,\n",
+    "    dataset_validation=dataset_validation,\n",
+    "    run_dir=run_dir,\n",
+    ")"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "e27a96aa-5560-47b6-91eb-dc4530dca090",
+   "id": "6f93e14f",
    "metadata": {},
    "source": [
     "## Inspect results and compare"
@@ -1009,23 +1153,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "id": "343c5dce",
+   "execution_count": 18,
+   "id": "51784fe8",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.legend.Legend at 0x77486d6ab770>"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -1035,165 +1169,217 @@
     }
    ],
    "source": [
-    "# Load saved training status with tbparse.SummaryReader\n",
-    "reader = SummaryReader(run_dir)\n",
-    "\n",
-    "# plot training and validation loss\n",
-    "plt.figure(figsize=(10, 5))\n",
-    "train_loss = reader.scalars[reader.scalars[\"tag\"] == \"Loss/train\"]\n",
-    "validation_loss = reader.scalars[reader.scalars[\"tag\"] == \"Loss/validation\"]\n",
-    "plt.plot(train_loss[\"step\"], train_loss[\"value\"], label=\"Train Loss\")\n",
-    "plt.plot(validation_loss[\"step\"], validation_loss[\"value\"], label=\"Validation Loss\")\n",
-    "plt.xlabel(\"Step\")\n",
-    "plt.ylabel(\"Loss\")\n",
-    "plt.legend()"
+    "plot_loss(run_dir, list_loss_var=[\"Loss/train\", \"Loss/validation\"], unit=\"kg/m2\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "57d94c9f",
+   "metadata": {},
+   "source": [
+    "#### Prepare the test data"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "id": "7c2deb40-bee8-4973-80f0-9d9485eabf0c",
+   "execution_count": 19,
+   "id": "029d9552",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Processed batch 1/2, with loss: 0.1680\n",
-      "Processed batch 2/2, with loss: 0.1741\n",
-      "Average loss over all batches: 0.1710\n",
-      "Predictions saved to './runs_hourly_watervapor'\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "# inference on test data, verbose is True\n",
-    "batch_size = 20\n",
-    "predictions = predict_monthly_var(\n",
-    "    model=f\"{run_dir}/best_model.pth\", dataset=test_dataset, batch_size=batch_size, save_predictions=True, device=device, run_dir=run_dir, dataloader_num_workers=dataloader_num_workers,\n",
+    "# this should be done once\n",
+    "data_dir = f\"{run_dir}/data_test\"\n",
+    "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = data_preparation(\n",
+    "    hourly_test_subset[var_name], monthly_test_subset[var_name], calculate_residuals=True, is_hourly=True, save_to_zarr=True, run_dir=data_dir,\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "id": "200264a1-c3cb-42d2-95eb-887259ed63cb",
+   "execution_count": 20,
+   "id": "e5a4be23",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# read data\n",
+    "data_dir = f\"{run_dir}/data_test\"\n",
+    "input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = read_st_data(data_path=data_dir, var_name=var_name)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "54bdaeeb",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Patch grid (m x i x j): 2 x 2 x 5 = 20 patches\n",
+      "Creating dataset:\n",
+      "Crop grid (m x i x j): 1 x 1 x 1 = 1 data crops\n",
       "Overlap: 0 pixels (height), 0 pixels (width)\n",
-      "20\n"
+      "1\n"
      ]
     }
    ],
    "source": [
-    "# inference on whole dataset\n",
-    "num_patches = (10, 10)\n",
-    "spatial_patch_size = (patch_size[1]*num_patches[0], patch_size[2]*num_patches[1])\n",
+    "spatial_crop_size = monthly_da.shape[1:]  # the whole dataset\n",
     "\n",
-    "dataset = STDataset(\n",
-    "    input_da=hourly_subset[var_name],\n",
-    "    monthly_da=monthly_subset_res[var_name],\n",
+    "dataset_test = STDataset(\n",
+    "    input_da=input_da,\n",
+    "    input_da_nan_mask=input_da_nan_mask,\n",
+    "    monthly_da=monthly_da,\n",
+    "    padded_days_mask=padded_days_mask,\n",
+    "    time_features=time_features,\n",
     "    land_mask=lsm_subset[\"lsm\"],\n",
-    "    patch_size=(1, *spatial_patch_size),  # based on the patch_size in model\n",
+    "    model_patch_size=patch_size,\n",
+    "    crop_size=(1, *spatial_crop_size),\n",
+    "    stride=None,  # no stride in inference\n",
     "    sh_embed_dim=96,\n",
-    "    sh_order_L = 10,\n",
-    "    is_hourly=True,    \n",
+    "    sh_order_L=10,\n",
+    "    verbose=True,\n",
+    "    load_lazy=False,\n",
     ")\n",
-    "print(len(dataset))"
+    "print(len(dataset_test))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "id": "74c0cfd5-4ebf-4df6-b788-19563a76155b",
+   "execution_count": 22,
+   "id": "94a12d1b",
    "metadata": {},
    "outputs": [],
    "source": [
-    "batch_size = 200\n",
-    "predictions_res = predict_monthly_var(\n",
-    "    model=f\"{run_dir}/best_model.pth\", dataset=dataset, batch_size=batch_size, verbose=False, save_predictions=True, device=device, run_dir=run_dir, dataloader_num_workers=dataloader_num_workers,\n",
+    "# create dataloader config for inference\n",
+    "dataloader_config = DataLoaderConfig(\n",
+    "    batch_size=10,\n",
+    "    shuffle=False,\n",
+    "    num_workers=0,\n",
+    "    pin_memory=False,\n",
+    "    persistent_workers=False,\n",
+    "    device=device,\n",
+    "    multiprocessing_context=None,\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "95c6068f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create prediction config\n",
+    "prediction_config = PredictionConfig(\n",
+    "    calculate_residuals=True,\n",
+    "    return_numpy=True,\n",
+    "    save_predictions=True,\n",
+    "    return_loss=False,\n",
+    "    device=device,\n",
+    "    verbose=False,\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "id": "7e2964b3-3fce-4df1-bb97-8677ef3bbfbf",
+   "execution_count": null,
+   "id": "2f3dc920",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create prediction config\n",
+    "prediction_config = PredictionConfig(\n",
+    "    calculate_residuals=True,\n",
+    "    return_numpy=True,\n",
+    "    save_predictions=True,\n",
+    "    return_loss=False,\n",
+    "    device=device,\n",
+    "    verbose=True,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4b8f947e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# inference on test data, verbose is True\n",
+    "predictions = predict_monthly_var(\n",
+    "    model=f\"{run_dir}/best_model.pth\",\n",
+    "    dataset=dataset_test,  \n",
+    "    dataloader_config=dataloader_config,\n",
+    "    prediction_config=prediction_config,\n",
+    "    run_dir=run_dir,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e823452b",
    "metadata": {},
    "outputs": [],
    "source": [
     "# add to monthly average\n",
-    "predictions = hourly_subset_averaged[var_name] + predictions_res[\"predictions\"]"
+    "predictions_res = xr.open_dataset(f\"{run_dir}/202201_{var_name}_prediction_residual.nc\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
-   "id": "3b0e3f24-c9d0-48e8-858a-48deb8d000d2",
+   "execution_count": null,
+   "id": "a7420dc7-fe1b-4f34-a62e-5914091f04b7",
    "metadata": {},
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Creating dataset:\n",
+      "Crop grid (m x i x j): 1 x 1 x 1 = 1 data crops\n",
+      "Overlap: 0 pixels (height), 0 pixels (width)\n",
+      "1\n",
+      "Processed batch 1/1, with loss: 0.1285\n",
+      "Average loss over all batches: 0.1285\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 1000x800 with 6 Axes>"
+       "<Figure size 1000x500 with 1 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ocean = ~lsm_subset[\"lsm\"].values\n",
-    "masked_target = monthly_subset[var_name].where(ocean)\n",
-    "masked_pred = predictions.where(ocean)\n",
-    "plot_results(masked_target, masked_pred, label=\"Water Vapour kg/m2\", title=(\"Target\", \"Prediction\"))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "7ba5d204-aefc-4103-8475-c802c603ad3f",
-   "metadata": {},
-   "outputs": [
+    },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 1000x800 with 6 Axes>"
+       "<Figure size 1000x500 with 3 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "err_baseline = (monthly_subset[var_name] - hourly_subset_averaged[var_name])  # M - mean(D)\n",
-    "err_predictions = (monthly_subset[var_name] - predictions)  # M - M_hat\n",
-    "\n",
-    "ocean = ~lsm_subset[\"lsm\"].values\n",
-    "masked_err_baseline = err_baseline.where(ocean) \n",
-    "masked_err_predictions = err_predictions.where(ocean) \n",
-    "\n",
-    "plot_results(masked_err_baseline, masked_err_predictions, label=\"error kg/m2\", title=(\"err_Baseline\", \"err_Prediction\"), error=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "a7420dc7-fe1b-4f34-a62e-5914091f04b7",
-   "metadata": {},
-   "outputs": [
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 800x800 with 2 Axes>"
+       "<Figure size 800x400 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -1201,13 +1387,30 @@
     }
    ],
    "source": [
+    "# add to monthly average\n",
+    "input_data_averaged = hourly_test_subset.resample({\"time\": \"MS\"}).mean(skipna=True)\n",
+    "input_data_averaged[\"time\"] = monthly_test_subset[\"time\"]\n",
+    "predictions = input_data_averaged[var_name] + predictions_res[var_name]\n",
+    "\n",
+    "ocean = ~lsm_subset[\"lsm\"].values\n",
+    "masked_target = monthly_test_subset[var_name].where(ocean)\n",
+    "masked_pred = predictions.where(ocean)\n",
+    "plot_results(masked_target, masked_pred, label=\"Water Vapour kg/m2\", title=(\"Target\", \"Prediction\"))\n",
+    "\n",
+    "err_baseline = monthly_test_subset[var_name] - input_data_averaged[var_name]  # M - mean(D)\n",
+    "err_predictions = monthly_test_subset[var_name] - predictions  # M - M_hat\n",
+    "\n",
+    "masked_err_baseline = err_baseline.where(ocean)\n",
+    "masked_err_predictions = err_predictions.where(ocean)\n",
+    "plot_results(masked_err_baseline, masked_err_predictions, label=\"error kg/m2\", title=(\"err_Baseline\", \"err_Prediction\"), error=True)\n",
+    "\n",
     "plot_histograms(masked_err_baseline, masked_err_predictions, label=\"error kg/m2\", legend_labels=(\"err_Baseline\", \"err_Prediction\"))"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "climanet (3.14.0)",
+   "display_name": "ClimaNet (3.13.9.final.0)",
    "language": "python",
    "name": "python3"
   },
@@ -1221,7 +1424,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.14.0"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,

From 644477272b6baa45a0dc2606fe1be0d8bb941f38 Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Tue, 8 Sep 2026 13:11:58 +0200
Subject: [PATCH 28/38] initial water vapor hourly training

---
 .../training_hourly_watervapor.ipynb          | 957 +++---------------
 1 file changed, 125 insertions(+), 832 deletions(-)
 mode change 100644 => 100755 notebooks/watervapor/training_hourly_watervapor.ipynb

diff --git a/notebooks/watervapor/training_hourly_watervapor.ipynb b/notebooks/watervapor/training_hourly_watervapor.ipynb
old mode 100644
new mode 100755
index b556a9e..93d2376
--- a/notebooks/watervapor/training_hourly_watervapor.ipynb
+++ b/notebooks/watervapor/training_hourly_watervapor.ipynb
@@ -44,16 +44,16 @@
     "var_name = \"prw\"\n",
     "\n",
     "# 1 month train, 1 month validation and test\n",
-    "hourly_data = xr.open_mfdataset(data_folder / f\"202001_hr_ERA5_masked_{var_name}.nc\")\n",
-    "hourly_data_validation = xr.open_mfdataset(data_folder / f\"202101_hr_ERA5_masked_{var_name}.nc\")\n",
-    "hourly_data_test = xr.open_mfdataset(data_folder / f\"202201_hr_ERA5_masked_{var_name}.nc\")\n",
+    "hourly_data = xr.open_mfdataset(data_folder / f\"202004_hr_ERA5_masked_{var_name}.nc\")\n",
+    "hourly_data_validation = xr.open_mfdataset(data_folder / f\"202104_hr_ERA5_masked_{var_name}.nc\")\n",
+    "hourly_data_test = xr.open_mfdataset(data_folder / f\"202204_hr_ERA5_masked_{var_name}.nc\")\n",
     "\n",
-    "monthly_data = xr.open_mfdataset(data_folder / f\"202001_mon_ERA5_full_{var_name}.nc\")\n",
-    "monthly_data_validation = xr.open_mfdataset(data_folder / f\"202101_mon_ERA5_full_{var_name}.nc\")\n",
-    "monthly_data_test = xr.open_mfdataset(data_folder / f\"202201_mon_ERA5_full_{var_name}.nc\")\n",
+    "monthly_data = xr.open_mfdataset(data_folder / f\"202004_mon_ERA5_full_{var_name}.nc\")\n",
+    "monthly_data_validation = xr.open_mfdataset(data_folder / f\"202104_mon_ERA5_full_{var_name}.nc\")\n",
+    "monthly_data_test = xr.open_mfdataset(data_folder / f\"202204_mon_ERA5_full_{var_name}.nc\")\n",
     "\n",
     "# water vapor uses a dedicated coarser-resolution land-sea mask\n",
-    "file_name = data_folder / \"era5_lsm_bool_05.nc\"\n",
+    "file_name = \"./era5_lsm_bool_05.nc\"\n",
     "lsm_mask = xr.open_dataset(file_name)"
    ]
   },
@@ -74,734 +74,6 @@
     "monthly_data_test = monthly_data_test.sortby(\"lat\")"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "806c70d2",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
-       "  );\n",
-       "  --xr-font-color2: var(\n",
-       "    --jp-content-font-color2,\n",
-       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
-       "  );\n",
-       "  --xr-font-color3: var(\n",
-       "    --jp-content-font-color3,\n",
-       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
-       "  );\n",
-       "  --xr-border-color: var(\n",
-       "    --jp-border-color2,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
-       "  );\n",
-       "  --xr-disabled-color: var(\n",
-       "    --jp-layout-color3,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
-       "  );\n",
-       "  --xr-background-color: var(\n",
-       "    --jp-layout-color0,\n",
-       "    var(--pst-color-on-background, white)\n",
-       "  );\n",
-       "  --xr-background-color-row-even: var(\n",
-       "    --jp-layout-color1,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
-       "  );\n",
-       "  --xr-background-color-row-odd: var(\n",
-       "    --jp-layout-color2,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
-       "  );\n",
-       "}\n",
-       "\n",
-       "html[theme=\"dark\"],\n",
-       "html[data-theme=\"dark\"],\n",
-       "body[data-theme=\"dark\"],\n",
-       "body.vscode-dark {\n",
-       "  --xr-font-color0: var(\n",
-       "    --jp-content-font-color0,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
-       "  );\n",
-       "  --xr-font-color2: var(\n",
-       "    --jp-content-font-color2,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
-       "  );\n",
-       "  --xr-font-color3: var(\n",
-       "    --jp-content-font-color3,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
-       "  );\n",
-       "  --xr-border-color: var(\n",
-       "    --jp-border-color2,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
-       "  );\n",
-       "  --xr-disabled-color: var(\n",
-       "    --jp-layout-color3,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
-       "  );\n",
-       "  --xr-background-color: var(\n",
-       "    --jp-layout-color0,\n",
-       "    var(--pst-color-on-background, #111111)\n",
-       "  );\n",
-       "  --xr-background-color-row-even: var(\n",
-       "    --jp-layout-color1,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
-       "  );\n",
-       "  --xr-background-color-row-odd: var(\n",
-       "    --jp-layout-color2,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
-       "  );\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\n",
-       "  line-height: 1.6;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-text-repr-fallback {\n",
-       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-header {\n",
-       "  padding-top: 6px;\n",
-       "  padding-bottom: 6px;\n",
-       "}\n",
-       "\n",
-       ".xr-header {\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\n",
-       "  margin-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-header > div,\n",
-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-obj-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-group-box-contents > label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
-       "  margin-block-start: 0;\n",
-       "  margin-block-end: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input,\n",
-       ".xr-group-box-contents > input,\n",
-       ".xr-array-wrap > input {\n",
-       "  display: block;\n",
-       "  opacity: 0;\n",
-       "  height: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input + label,\n",
-       ".xr-var-item > input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input:enabled + label,\n",
-       ".xr-var-item > input:enabled + label,\n",
-       ".xr-array-wrap > input:enabled + label,\n",
-       ".xr-group-box-contents > input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input:focus-visible + label,\n",
-       ".xr-var-item > input:focus-visible + label,\n",
-       ".xr-array-wrap > input:focus-visible + label,\n",
-       ".xr-group-box-contents > input:focus-visible + label {\n",
-       "  outline: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input:enabled + label:hover,\n",
-       ".xr-var-item > input:enabled + label:hover,\n",
-       ".xr-array-wrap > input:enabled + label:hover,\n",
-       ".xr-group-box-contents > input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "  white-space: nowrap;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > em {\n",
-       "  font-weight: normal;\n",
-       "}\n",
-       "\n",
-       ".xr-span-grid {\n",
-       "  grid-column-end: -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.3em;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.6em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: \"►\";\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: \"▼\";\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details,\n",
-       ".xr-group-box-contents > label {\n",
-       "  padding-top: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-top: 4px;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in ~ .xr-section-details {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-children {\n",
-       "  display: inline-grid;\n",
-       "  grid-template-columns: 100%;\n",
-       "  grid-column: 1 / -1;\n",
-       "  padding-top: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box {\n",
-       "  display: inline-grid;\n",
-       "  grid-template-columns: 0px 30px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-vline {\n",
-       "  grid-column-start: 1;\n",
-       "  border-right: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "  width: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-hline {\n",
-       "  grid-column-start: 2;\n",
-       "  grid-row-start: 1;\n",
-       "  height: 1em;\n",
-       "  width: 26px;\n",
-       "  border-bottom: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents {\n",
-       "  grid-column-start: 3;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > label::before {\n",
-       "  content: \"📂\";\n",
-       "  padding-right: 0.3em;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label::before {\n",
-       "  content: \"📁\";\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label {\n",
-       "  padding-bottom: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-ellipsis {\n",
-       "  font-size: 1.4em;\n",
-       "  font-weight: 900;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  letter-spacing: 0.15em;\n",
-       "  cursor: default;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: \"(\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: \")\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: \",\";\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  border-color: var(--xr-background-color-row-odd);\n",
-       "  margin-bottom: 0;\n",
-       "  padding-top: 2px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "  border-color: var(--xr-background-color-row-even);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  border-top: 2px dotted var(--xr-background-color);\n",
-       "  padding-bottom: 20px !important;\n",
-       "  padding-top: 10px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in + label,\n",
-       ".xr-var-data-in + label,\n",
-       ".xr-index-data-in + label {\n",
-       "  padding: 0 1px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > pre,\n",
-       ".xr-index-data > pre,\n",
-       ".xr-var-data > table > tbody > tr {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 686MB\n",
-       "Dimensions:  (time: 744, lat: 320, lon: 720)\n",
-       "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 6kB 2020-01-01 ... 2020-01-31T23:00:00\n",
-       "  * lat      (lat) float32 1kB -79.75 -79.25 -78.75 -78.25 ... 78.75 79.25 79.75\n",
-       "  * lon      (lon) float32 3kB -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
-       "Data variables:\n",
-       "    prw      (time, lat, lon) float32 686MB dask.array&lt;chunksize=(1, 320, 720), meta=np.ndarray&gt;\n",
-       "Attributes: (12/18)\n",
-       "    CDI:                     Climate Data Interface version 2.2.4 (https://mp...\n",
-       "    Conventions:             CF-1.7\n",
-       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
-       "    GRIB_centre:             ecmf\n",
-       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
-       "    history:                 Mon Jul 06 10:02:22 2026: cdo cat /work/bd0854/b...\n",
-       "    ...                      ...\n",
-       "    comment:                 1D-Var: Algorithm Theoretical Baseline Document ...\n",
-       "    cell_methods:            area: mean time: point\n",
-       "    code:                    3\n",
-       "    grid_mapping:            crs\n",
-       "    ancillary_variables:     numo stdv quality_flag_1dvar scat_ratio wvpa_err...\n",
-       "    CDO:                     Climate Data Operators version 2.2.2 (https://mp...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-257fe431-323a-48c3-93f9-04d1ff9f607f' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-257fe431-323a-48c3-93f9-04d1ff9f607f' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 744</li><li><span class='xr-has-index'>lat</span>: 320</li><li><span class='xr-has-index'>lon</span>: 720</li></ul></div></li><li class='xr-section-item'><input id='section-3c0d2ec9-e5f0-41e3-ba55-ede07ce8f3ae' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3c0d2ec9-e5f0-41e3-ba55-ede07ce8f3ae' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-01 ... 2020-01-31T23:00:00</div><input id='attrs-7c91fccc-9ed2-4a6a-99f9-b715b9c5e230' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c91fccc-9ed2-4a6a-99f9-b715b9c5e230' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0fcc8fe-600d-4762-9a69-445c01ee4ac6' class='xr-var-data-in' type='checkbox'><label for='data-b0fcc8fe-600d-4762-9a69-445c01ee4ac6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-01-01T00:00:00.000000000&#x27;, &#x27;2020-01-01T01:00:00.000000000&#x27;,\n",
-       "       &#x27;2020-01-01T02:00:00.000000000&#x27;, ..., &#x27;2020-01-31T21:00:00.000000000&#x27;,\n",
-       "       &#x27;2020-01-31T22:00:00.000000000&#x27;, &#x27;2020-01-31T23:00:00.000000000&#x27;],\n",
-       "      shape=(744,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-79.75 -79.25 ... 79.25 79.75</div><input id='attrs-e7417555-e322-4861-9068-d9f5ddb90911' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7417555-e322-4861-9068-d9f5ddb90911' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78b34b77-b833-414e-9141-4a24fcefd883' class='xr-var-data-in' type='checkbox'><label for='data-78b34b77-b833-414e-9141-4a24fcefd883' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-79.75, -79.25, -78.75, ...,  78.75,  79.25,  79.75],\n",
-       "      shape=(320,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.8 -179.2 ... 179.2 179.8</div><input id='attrs-7e54a562-d952-481f-8c1d-52f8815e436d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e54a562-d952-481f-8c1d-52f8815e436d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-788eb86d-c70a-46fa-a04c-2adc7e0fd53a' class='xr-var-data-in' type='checkbox'><label for='data-788eb86d-c70a-46fa-a04c-2adc7e0fd53a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-179.75, -179.25, -178.75, ...,  178.75,  179.25,  179.75],\n",
-       "      shape=(720,), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c21d3865-d928-4032-9cd5-7f7a439c172f' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c21d3865-d928-4032-9cd5-7f7a439c172f' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>prw</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 320, 720), meta=np.ndarray&gt;</div><input id='attrs-3c6c280e-446c-4e70-a93c-a362a13a6768' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c6c280e-446c-4e70-a93c-a362a13a6768' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3a194cf-4620-4937-b5b3-69ec98584adf' class='xr-var-data-in' type='checkbox'><label for='data-f3a194cf-4620-4937-b5b3-69ec98584adf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>atmosphere_mass_content_of_water_vapor</dd><dt><span>long_name :</span></dt><dd>Water Vapor Path</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>code :</span></dt><dd>3</dd><dt><span>GRIB_paramId :</span></dt><dd>137</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tcwv</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>GRIB_shortName :</span></dt><dd>tcwv</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>GRIB_surface :</span></dt><dd>0.0</dd><dt><span>C_format :</span></dt><dd>%6.2f</dd><dt><span>FORTRAN_format :</span></dt><dd>F6.2</dd><dt><span>comment :</span></dt><dd>1D-Var: Algorithm Theoretical Baseline Document HOAPS version 5.0; 2025</dd><dt><span>cell_methods :</span></dt><dd>area: mean time: point</dd><dt><span>ancillary_variables :</span></dt><dd>numo stdv quality_flag_1dvar scat_ratio wvpa_err wvpa_err_sq satm</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
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-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 653.91 MiB </td>\n",
-       "                        <td> 900.00 kiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (744, 320, 720) </td>\n",
-       "                        <td> (1, 320, 720) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 744 chunks in 3 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-e22dd787-080a-4c43-ad17-18b346a39a56' class='xr-section-summary-in' type='checkbox' /><label for='section-e22dd787-080a-4c43-ad17-18b346a39a56' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(18)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 2.2.4 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>history :</span></dt><dd>Mon Jul 06 10:02:22 2026: cdo cat /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200101_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200102_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200103_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200104_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200105_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200106_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200107_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200108_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200109_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200110_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200111_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200112_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200113_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200114_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200115_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200116_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200117_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200118_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200119_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200120_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200121_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200122_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200123_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200124_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200125_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200126_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200127_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200128_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200129_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200130_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/2020/20200131_ERA5_masked_prw.nc /work/bd0854/b380103/eso4clima/output/watervapor/concatenated/202001_hr_ERA5_masked_prw.nc\n",
-       "2026-05-04T06:44 GRIB to CDM+CF via cfgrib-0.9.15.1/ecCodes-2.42.0 with {&quot;source&quot;: &quot;tmp7hm0rmx9/data.grib&quot;, &quot;filter_by_keys&quot;: {&quot;stream&quot;: [&quot;oper&quot;], &quot;stepType&quot;: [&quot;instant&quot;]}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd><dt><span>regrid_method :</span></dt><dd>bilinear</dd><dt><span>long_name :</span></dt><dd>Water Vapor Path</dd><dt><span>standard_name :</span></dt><dd>atmosphere_mass_content_of_water_vapor</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>C_format :</span></dt><dd>%6.2f</dd><dt><span>FORTRAN_format :</span></dt><dd>F6.2</dd><dt><span>comment :</span></dt><dd>1D-Var: Algorithm Theoretical Baseline Document HOAPS version 5.0; 2025</dd><dt><span>cell_methods :</span></dt><dd>area: mean time: point</dd><dt><span>code :</span></dt><dd>3</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ancillary_variables :</span></dt><dd>numo stdv quality_flag_1dvar scat_ratio wvpa_err wvpa_err_sq satm</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 2.2.2 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 686MB\n",
-       "Dimensions:  (time: 744, lat: 320, lon: 720)\n",
-       "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 6kB 2020-01-01 ... 2020-01-31T23:00:00\n",
-       "  * lat      (lat) float32 1kB -79.75 -79.25 -78.75 -78.25 ... 78.75 79.25 79.75\n",
-       "  * lon      (lon) float32 3kB -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
-       "Data variables:\n",
-       "    prw      (time, lat, lon) float32 686MB dask.array<chunksize=(1, 320, 720), meta=np.ndarray>\n",
-       "Attributes: (12/18)\n",
-       "    CDI:                     Climate Data Interface version 2.2.4 (https://mp...\n",
-       "    Conventions:             CF-1.7\n",
-       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
-       "    GRIB_centre:             ecmf\n",
-       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
-       "    history:                 Mon Jul 06 10:02:22 2026: cdo cat /work/bd0854/b...\n",
-       "    ...                      ...\n",
-       "    comment:                 1D-Var: Algorithm Theoretical Baseline Document ...\n",
-       "    cell_methods:            area: mean time: point\n",
-       "    code:                    3\n",
-       "    grid_mapping:            crs\n",
-       "    ancillary_variables:     numo stdv quality_flag_1dvar scat_ratio wvpa_err...\n",
-       "    CDO:                     Climate Data Operators version 2.2.2 (https://mp..."
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "hourly_data"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "b4be672b-a2c1-4a6f-89a1-2c22cc6cde02",
@@ -812,7 +84,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "id": "c61aee7b-6083-4466-883c-19aa9a03cfca",
    "metadata": {},
    "outputs": [
@@ -820,14 +92,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "(744, 40, 40) (1, 40, 40)\n"
+      "(720, 80, 200) (1, 80, 200)\n"
      ]
     }
    ],
    "source": [
     "# coordinates of subset\n",
-    "lon_subset = slice(-10, 10)\n",
-    "lat_subset = slice(-10, 10)\n",
+    "lon_subset = slice(-50, 50)\n",
+    "lat_subset = slice(-30, 10)\n",
     "\n",
     "hourly_subset = hourly_data.sel(lon=lon_subset, lat=lat_subset)\n",
     "monthly_subset = monthly_data.sel(lon=lon_subset, lat=lat_subset)\n",
@@ -852,7 +124,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "id": "1ceb7756-f274-4823-bded-87c0f8f16a79",
    "metadata": {},
    "outputs": [],
@@ -866,7 +138,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "a9d056b8-2cb1-42af-94d6-9fb58586dcbc",
    "metadata": {},
    "outputs": [],
@@ -874,7 +146,7 @@
     "# Device and resources\n",
     "compute_threads = 4\n",
     "dataloader_num_workers = 2\n",
-    "device = \"cpu\" # \"cuda\"\n",
+    "device = \"cuda\"\n",
     "model = configure_compute_resources(model, device=device, compute_threads=compute_threads, dataloader_num_workers=dataloader_num_workers)"
    ]
   },
@@ -896,7 +168,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "id": "c17c2f1f",
    "metadata": {},
    "outputs": [],
@@ -910,7 +182,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "67b469b6-5d61-4ff1-a54f-f077965b8979",
    "metadata": {},
    "outputs": [],
@@ -922,7 +194,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "b9742e67-165f-4b5a-bab0-27b8b0d7070d",
    "metadata": {},
    "outputs": [
@@ -931,9 +203,9 @@
      "output_type": "stream",
      "text": [
       "Creating dataset:\n",
-      "Crop grid (m x i x j): 1 x 1 x 1 = 1 data crops\n",
+      "Crop grid (m x i x j): 1 x 6 x 21 = 126 data crops\n",
       "Overlap: 32 pixels (height), 32 pixels (width)\n",
-      "1\n"
+      "126\n"
      ]
     }
    ],
@@ -971,7 +243,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "id": "ff6159b3",
    "metadata": {},
    "outputs": [],
@@ -985,7 +257,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "id": "343c5dce",
    "metadata": {},
    "outputs": [],
@@ -997,7 +269,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "id": "7c2deb40-bee8-4973-80f0-9d9485eabf0c",
    "metadata": {},
    "outputs": [
@@ -1006,9 +278,9 @@
      "output_type": "stream",
      "text": [
       "Creating dataset:\n",
-      "Crop grid (m x i x j): 1 x 1 x 1 = 1 data crops\n",
+      "Crop grid (m x i x j): 1 x 6 x 21 = 126 data crops\n",
       "Overlap: 32 pixels (height), 32 pixels (width)\n",
-      "1\n"
+      "126\n"
      ]
     }
    ],
@@ -1037,17 +309,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "id": "200264a1-c3cb-42d2-95eb-887259ed63cb",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "DataLoaderConfig(batch_size=10, shuffle=True, num_workers=2, pin_memory=True, persistent_workers=True, device='cpu', multiprocessing_context='spawn')"
+       "DataLoaderConfig(batch_size=10, shuffle=True, num_workers=2, pin_memory=True, persistent_workers=True, device='cuda', multiprocessing_context='spawn')"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1068,17 +340,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "id": "74c0cfd5-4ebf-4df6-b788-19563a76155b",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "TrainConfig(calculate_residuals=True, num_epoch=100, patience=10, accumulation_steps=2, optimizer_lr=0.001, optimizer_weight_decay=0.01, scheduler_lr_factor=0.1, scheduler_min_lr=1e-05, device='cpu', verbose=True, verbose_epoch_interval=20, tune_checkpoint=False, store_model=True, store_logs=True)"
+       "TrainConfig(calculate_residuals=True, num_epoch=100, patience=20, accumulation_steps=2, optimizer_lr=0.0005, optimizer_weight_decay=0.01, scheduler_lr_factor=0.1, scheduler_min_lr=1e-05, device='cuda', verbose=True, verbose_epoch_interval=5, tune_checkpoint=False, store_model=True, store_logs=True)"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1088,12 +360,12 @@
     "training_config = TrainConfig(\n",
     "    calculate_residuals=True,\n",
     "    num_epoch=100,\n",
-    "    patience=10,\n",
+    "    patience=20, # changed from 10\n",
     "    accumulation_steps=2,\n",
-    "    optimizer_lr=1e-3,\n",
+    "    optimizer_lr=5e-4, # changed from 1e-3\n",
     "    device=device,\n",
     "    verbose=True,\n",
-    "    verbose_epoch_interval=20,\n",
+    "    verbose_epoch_interval=5,\n",
     "    tune_checkpoint=False,\n",
     "    store_model=True,\n",
     ")\n",
@@ -1110,7 +382,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "id": "3b0e3f24-c9d0-48e8-858a-48deb8d000d2",
    "metadata": {},
    "outputs": [
@@ -1118,15 +390,23 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Epoch 0: gap between train and val loss: 0.099486\n",
-      "Epoch 0: best_loss = 0.344474\n",
-      "Epoch 20: gap between train and val loss: -0.015015\n",
-      "Epoch 20: best_loss = 0.136149\n",
-      "Early stopping triggered at epoch 35. Best loss: 0.131105\n",
-      "Training complete. Best loss: 0.131105\n",
-      "Model saved to /home/oku/Developments/ESO4Clima/ClimaNet/notebooks/watervapor/runs_hourly/best_model.pth\n",
-      "CPU times: user 56.8 s, sys: 7.59 s, total: 1min 4s\n",
-      "Wall time: 3min 12s\n"
+      "Epoch 0: gap between train and val loss: -0.038700\n",
+      "Epoch 0: best_loss = 0.175661\n",
+      "Epoch 5: gap between train and val loss: 0.029814\n",
+      "Epoch 5: best_loss = 0.165111\n",
+      "Epoch 10: gap between train and val loss: 0.062820\n",
+      "Epoch 10: best_loss = 0.165111\n",
+      "Epoch 15: gap between train and val loss: 0.079435\n",
+      "Epoch 15: best_loss = 0.165111\n",
+      "Epoch 20: gap between train and val loss: 0.081210\n",
+      "Epoch 20: best_loss = 0.165111\n",
+      "Epoch 25: gap between train and val loss: 0.084932\n",
+      "Epoch 25: best_loss = 0.165111\n",
+      "Early stopping triggered at epoch 25. Best loss: 0.165111\n",
+      "Training complete. Best loss: 0.165111\n",
+      "Model saved to /home/b/b383704/ClimaNet/notebooks/watervapor/runs_hourly/best_model.pth\n",
+      "CPU times: user 18.1 s, sys: 5.56 s, total: 23.7 s\n",
+      "Wall time: 6min 27s\n"
      ]
     }
    ],
@@ -1153,13 +433,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 52,
    "id": "51784fe8",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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tKxEREWlKTCZjaZ4zbg4638rd3Z1evXqxaNEi+5jNZuO7775jwIABgLF0rqCgABcXF/r168f//d//8be//Y3ly5efcRsYSwLHjx9/0utOmTKF+fPnM3fuXEJDQxkxYgQAFouFpKQk+vXrZ9933bp1pKamVvl78vDwoGfPnvzwww/2sZKSEn7++Wf746q+jre3NyUlJad9rar8/JxJM1cNUEVTi32peRSUlOHtrv+MIiIiIvXNr7/+etLStJEjR/L8888zduxYfHx86N+/P/PnzycxMdF+wd3MzEyGDh3KlClT6NatGwkJCXz77be8+uqrZ9xmsVhYvHhxpeBR4aqrruLuu+9mxowZ3HTTTfbW7S4uLlx44YU88MADPPzwwxw7dox//etfeHp6ntP3+uyzz3LppZfi7e1Njx49eP/99yvNXFX1dXr27Mknn3zC3LlzadasWaUwVuFsPz9n0qfyBqiFvyfN/Tw4llvMrqO59IkOcnZJIiIiIlIuJCSEMWPGMGfOnJO2DR48mBEjRrBy5Uref/995syZQ4cOHXj11VcJDw8HICwsjN9++413332XOXPmEBQUxLx58xg3bhzAabetWrUKs9lM//79T3rdZs2acd9997Fp0yamTp1aadu8efN46aWXmDt3LsHBwcybN49PP/2U6Oho+z5/vZDvXx+PGzeOH374gQ8++ICEhAQmTpzIxIkTOXDgwDm9zuTJk0lPT2fhwoXk5OTw73//+6TXOtvPD6Bbt25YrdZK32ebNm0YPHjwaf6rOYbJdi6LHJuQnJwcAgICyM7Oxt/f39nlnGTqh7+zfM8xnrq0CzcMjnF2OSIiIiIOV1RUxMGDB2nduvU5z6Q0RQ8//DDJycl89NFHzi6lQTrT+62q2UDnXDVQFUsDdTFhEREREQEjHEyZMsXZZTRpWhbYQNnDVVLOWfYUERERkabg1VdfdXYJTZ5mrhqoinD1Z0ouRaWWs+wtIiIiIiK1TeGqgYoI8CTI240yq409ybnOLkdEREREpMlTuGqgTCbTCUsDdd6ViIiIiIizKVw1YGpqISIiIk2BmltLXXDE+0zhqgHrGlERrtTUQkRERBofNzc3AAoKCpxciTQFFe+zivdddahbYAPWrXzmak9yLiVlVtxdlZVFRESk8XBxcSEwMJDU1FQAvL29MZlMTq5KGhubzUZBQQGpqakEBgbi4uJS7WMpXDVgUc288PN0JbeojL0pufZlgiIiIiKNRVhYGIA9YInUlsDAQPv7rboUrhowk8lE14gA1h5IZ0dStsKViIiINDomk4nw8HBCQ0MpLS11djnSSLm5udVoxqqCwlUD162lEa62J+ZwTT9nVyMiIiJSO1xcXBzy4VekNukknQauS4Q/ANvUMVBERERExKkUrhq4iqWAu47mUGaxOrkaEREREZGmS+GqgWsd7IOPuwvFZVb2H8t3djkiIiIiIk2WwlUDZzab6FJ+vSstDRQRERERcZ56Ea527drFr7/+SkpKSpX2LywsZP369WzatInCwkKHHbeh6hJpnHe1XeFKRERERMRpnBqu8vPzGTNmDIMHD+aBBx4gJiaGf//736fd32az8cgjjxATE8Pf//53rrvuOlq1asWXX35Zo+M2dBUXE96RpHAlIiIiIuIsTm3F/n//93/s3buXP//8k5CQEH766SfGjh3LkCFDGDJkyEn722w2AgIC2L9/P76+vgA8//zzXHfddQwePJjIyMhqHbeh62oPVzlYrDZczLpyuYiIiIhIXXPqzNUnn3zCzTffTEhICABjxoyhV69efPzxx6fc32w28/DDD9uDFcANN9xAcXExW7ZsqfZxG7q2zX3xdDNTUGLhYJqaWoiIiIiIOIPTwlVCQgJpaWn06tWr0nivXr0qBaWzWbNmDQAdOnSo0XGLi4vJycmpdGsoXMwmYsON8660NFBERERExDmcFq6ysrIAaNasWaXx4OBgMjMzq3SMo0ePctddd3HDDTfQrl27Gh135syZBAQE2G9RUVFV/E7qh4qlgdsSFK5ERERERJzBaeHK3d0d4KRufwUFBfZtZ5KWlsbo0aNp3749b7/9do2P+8gjj5CdnW2/HTlypMrfS31QEa62a+ZKRERERMQpnNbQIioqChcXl5NCTEJCAjExMWd8bnp6OqNGjaJZs2YsWrQILy+vGh/Xw8MDDw+Pc/4+6ouu5de62pGYg9Vqw6ymFiIiIiIidcppM1deXl4MHTqUhQsX2seys7P55ZdfGDt2rH1sx44drF692v44IyODUaNGERAQwA8//ICPj0+1jtvYtG/hi7urmdziMuIzCpxdjoiIiIhIk2Oy2Ww2Z714XFwcw4YN45ZbbmHQoEG8/fbbpKWlsXHjRry9vQGYNm0acXFxbN++nZKSEgYNGkRCQgJvvfVWpWDVtWtXWrZsWeXjnk1OTg4BAQFkZ2fj7+/v+G++FkyYtYotCdnMmtyL8d0jnF2OiIiIiEijUNVs4NRW7AMHDmTt2rUUFxfz+eefc8EFF7B69epKAahr1672a1MVFRXRvHlzevXqxezZs3n11Vfttx07dpzTcRujLhXnXSU2nE6HIiIiIiKNhVNnruqzhjhzNXddPI8u2MaQdiHMmTbA2eWIiIhIVZWVgKUEPHzPvq+I1LmqZgOnNbQQx+t2QsdAm82GyaSmFiIiIvWW1Qrxa2Dr57DjGyjOgYie0PoCaDMMWg0EN6+zHUWaGqsFju2BpE1GIA9pD8HtwTcU9NnP6RSuGpEOYb64mk1kFZSSmFVIy6DGvQxSRESkQTq2xwhUW7+E7PjK25I2GbfVr4KLB7QaUB62hhvBy+zijIrFWWw2yDwIiX8Y74vEP+DoFijNP3lfjwAjaNlvHYzQ1awNuJ79MkfiGApXjYiHqwsdWvix82gO2xOzFa5ERETqi7xU2PaVEaqObj4+7uEPsZdC94nGh+BDK+HAb3DgV8hNgoMrjNuyZ4wPz63PLw9bFxgfnjVT0bjkJpcHqT8gcaMRqAozT97P3RfCe4K7N6T9CVmHoTgbEjcYtxOZXCAo5uTQFdIBfILr4rtqUhSuGplukQHl4SqHsV3DnV2OiIhI01VSALu/NwLV/mVgsxjjZldodyF0vxo6jqu89K/HRONms0H6PiNkHfgVDq40PjzvXmTcAPzCjy8hbHMB+KtTcINSmHl8Nqria27Syfu5uEOLrhDZByJ7Q0RvIySdOItZWgQZByD9T0jbawSuiltJLmTsN257F1c+tlezU4euoBhwqYOYYCmDkjwoLYCS/OO30gJjvCQfWvaD5h1rvxYHUbhqZLpG+vP5BuO8KxEREaljVosx07T1c9j1nfEBsUJkX+h+DXT9G/iEnPk4JtPxD739bzGOe3Rzedj6DeLjIPcobJ1v3MD4UFwRtmKGgFdg7XyPcu5KCiB5a+VZqYwDJ+9nMkPzTkaAiuxlfG3R9ezL+tw8oUWscTuRzWbMhp0qdGXHQ2EGHFln3E5kdoNmrY33VMU5XSEdwC8MSgvPHohKCk69T6X9CsBSfPaf3bgXFK7EeY63Y1dTCxGRJqMoGzIPg3ewcVK7i5uzK2p6krcbIWfbV0boqRAUYwSqbldDSLvqH9/sUj5z0QfO/6fxAffIuuNh6+jm8g/Pe2H9bONDekSv40sIowYaH8Cl9llKIWVHeYgqn5VK3XV85vJEQTHlQap8Riq8h2M7RppM4B9u3FoPrbytpMCYHU2vCFzl4St9nxGAKt5PdcHsCu4+xnJHN+/y++W3BjYjq1bsp9EQW7EDFJVa6PLkT1isNuIeGUlYgH6Riog0KpYySN1pnFeRUH5L2wtU/HNuAp/mxl+Y/cLBr0X517DjX33DjH3qYtlPY5aTBNu+hC2fQ+rx623iGWjMTnWfCFH96+a8qMJMOLTq+Pla6X9W3u7qCVEDji8hDO/Z8Jtj2GxQkAF5ycbsTF5K5a/5aWAtM4KmyQSYjK/2++aT75vMJ+xXfjnYU47/9b4ZKF/KeXTrqWdkfFsY4fjEWSnvZnXzszoXVivkJJ4cutL+hPxjlYOPuw+4Vdz3Pn1AOmk/3/Kx8vsNoOFGVbNBtcJVXl4ecXFxJCQkABAVFcXAgQPx8fGpfsX1TEMNVwBjXlnBnpRc3ru+L6NiWzi7HBERqYnsxMpB6uhm46/Kf+XVzJjBOtVfx0/FZAaf0PLQFVY5fPmFGx8E/cKN5WvO+BButUBZsfEhteIaUO4+RnAxm+u+ngrFucZyvy3zjeV/FaHWxR06jDECVfsLwdXDeTWC8b45+NvxsJWXXHm7ZwC07G/89/XwB09/Y6zivoe/8bO23w+ou5kvS5nxIT4vGXJTzvA1BayldVPTufIMMGYOT5yV8o9QA5IGrFauc7Vq1SpefvllFi1aRGlpKV5exgmYhYWFuLm5cemll3LvvfcyZMiQmlUvNdIl0p89KblsS8xWuBIRaUiK84zwlLABEtYb52WcuMSsgoe/8cGtZT9o2df4a7hvqPEX54I046/2ucnGcyu+5qUcf5yXAjar8SE1LxlO8RJ2JpfyoPWXGTCf5oCtPPgUG+Gn4v5px8pvfw1Npxo7XUg0mY0g6R1cfjvx/l8fl9/38K/Zh1pLGRxYbgSq3d9DWeHxba0GGcv+ulwGXkHVfw1HC4iEnpONm81mzD5ULCE8tNII4vt+PrdjurifJogFGI/tQew0Qc3N05hN+usM019DU0Ga8f6sKq9m5TOyLSp/9Wlu1IzNOJ7NVn6/4mY94bH1FPtV4zn+LY0w1ayNglQTVeVwddVVV7FixQquvfZaFi9eTL9+/fDz8wMgNzeX33//nUWLFnHFFVdwwQUX8MUXX9Ra0XJm3SID+N8fiexQUwsRkfrLaoW0PZWDVOrOkz9UmswQ2sUIUS37Gk0RQjqcevbGbDZClm8ohHc/w2tbjJmBU4Uw+4fdZKN9uM1idDDLTQI2OfRHUHUm4zwyS4nx8ylIM25VZXY9QwA7zZibt3GuzNYvYPtXxs+rQnA7Y4aq+1XGOTP1nclkNARo3hEG3GaExaObjQYLRTnGxYuLsk9zv/wrNuPnf64/+2rXXDGz2sJYxnrS1/IQ5duiQSwpk6ajyuGqf//+fPLJJ/bZqhP5+fkxcuRIRo4cyb/+9S9mzZrl0CLl3HS1N7XIcXIlIiJil5d6QpDaAImbjBbJf+UXUTlIRfQ0lsM5ktnl+FLAM7GUQX5qeehKqRzC8o8Zs1qu7sbFbiu+urifPObqYYSjKo25lx/D4/hXs6sREMpKjO5mBel/uf11LOP4WGm+cd5NXvkysir/jNwqLznzDoGuV0CPa4wlXg15VsLF9fh7rCqsVuO9etogll05iP01nBVlH7/orYv7CSGpxfFzAP8anpy1HFWkhtTQ4jQa8jlX+cVldJ3xEzYbrH9sFM39nLzuW0SkqSktgqNbys+VWg8JG422x3/l5m18UG/ZxwhSLfs2uM5Y9V5p4WnC1xkCWkUzAldP6HSxseyv7Qh1YawJS5mxnNLdt2EHU2myauWcK2kYfDxcaRPiw/5j+WxPymZ4x1BnlyQi0rgV5xptsQ+vhcNrjFBlKfnLTibj+jUnBqnmndWxr7a5eRnnHwVEVm1/m824Fk9Bevn5Wg5si92UubiCi5+zqxCpdef8G33dunUsWLCAgIAAJk2aRExMTKXtEydOZP78+Y6qT6qpa2QA+4/lsyNR4UpExOHy0yG+PEjFrzFaL/+1AYNPc6PhRGQfI0hF9DZO7pf6zWQyApVClYhUwzktC/zxxx+59NJLad26NVlZWRQUFPDxxx9zxRVXHD+gyURjWGnYkJcFAsxecYDnftjFmC4tePe6Kq6pFhGRU8tOLA9Tq41AdWz3yfsERkP04PLbeeoWJiLSiNTKssCnn36aZ555hocffpjS0lKeeeYZJk6cyMcff8zkyZNrXLQ4jppaiIhUk80GGQeMEHV4jRGosg6fvF/zTkYb7ujzIHoQBLSs+1pFRKReOadwtX37dn766ScA3NzcePrpp2nTpg033ngjVquVKVOm1EqRcu5iI4xEnZhVSGZ+CUE+alMqInJKVqvRAr1iid/hNSd3lTOZIaz78SDVapDRzUxEROQE5xSugoKCyMrKqjQVduONN+Lm5sZNN92EScsf6o0ALzeig705nF7A9qRszm/f3NkliYjUD5ZSo5NfxRK/+LVGq+gTubgb50pVLPNr2V/nS4mIyFmdU7gaN24cS5YsYdq0aZXGr732WkwmE1OnTnVocVIzXSMDjHCVmKNwJSJNW/I22P2DEagS1kNpQeXtbj7QagC0Kg9TkX3AzdM5tYqISIN1TuHqwQcfZObMmSeFK4DJkyfj4uLCzJkzHVac1EzXiAC+33qU7YnZZ99ZRKQxKsiApU/Bxo+BE5oteQWVB6lBRpgK66GW6CIiUmO6iPBpNPRugQAr/zzGde//TnSwN789MNzZ5YiI1B2rFbbMhZ//z7heEUDHi6HdCCNUNe8EZrNzaxQRkQZDFxEWukYYHQMPpxeQXVhKgJeuLC8iTUDydvj+n3AkznjcvDNc/BLEnOfcukREpNGrVriy2Wx8++23rFq1iszMzJO2v/feezUuTGouyMedyEAvErMK2ZGUzeC26mwlIo1YcS78+m+Ie9u4oK+bDwx/BAbcDi7645KIiNS+aoWrBx54gLfeeouhQ4cSGBjo4JLEkbpFBhjhKjFH4UpEGiebDXYuhMWPQO5RYyx2AoyZCQGRTi1NRESalmqFqw8//JDly5czYMAAR9cjDtY10p/FO5LZnqSmFiLSCKXvhx/uh/3LjMdBreGiF6H9KOfWJSIiTVK1wpXVaqVz586OrkVqQZdI47yrbeoYKCKNSWkhrHwZVr8KlhJw8YDz74Pz7lULdRERcZpqtUr629/+pvOqGoiKphYH0/LJKy5zcjUiIg6wdwm8OQBWPG8Eq7YjYfpaGPawgpWIiDhVtWaunnvuOWJjY5k7dy5t27bFZDJV2j5//nyHFCc119zPgzB/T5Jzith1NId+Mc2cXZKISPVkHYHFD8PuRcZjvwgY92/ofCn85d8hERERZ6hWuLr33nuxWCzExMTg5+fn6JrEwbpG+pOcU8S2hGyFKxExrgFVlAWFmcZFdgvSoTgHgttBeA8wuzi7wsospbD2TfjtP1BaACYXGDQdLngIPPRvkIiI1B/VClffffcdq1atolevXo6uR2pB18gAftmVqqYWIo2RpcwISgXpx4NSYcYp7meU3083QpXNeurjeQQY14NqPRRizofQWOdebPfQKuOaVcd2G49bDYKLX4YWsc6rSURE5DSqFa4CAwNp06aNo2uRWlJx3tWOxBwnVyIiVWK1QMIGyEs+HpoKM08doIqyqv867n7gHQTewcY1oZK3QnE27PnBuIGxLWaIEbRaXwAh7etmCV5eKix5AraWLzP3DoHRz0CPSVoCKCIi9Va1wtWYMWOYNWsWjz32mKPrkVrQtbxj4J+puRSWWPByr2dLfkTkuNRdsHA6JP1xbs/zDATvZuDVzAhE3uVfvYJOuH/CNq8gcPWofAxLGSRvgYMr4OBKiF9rBLmd3xg3AN8waH1+edg632h97siwY7XAhg9g6TNG0MMEfafCiCeMukVEROoxk81ms53rk0aNGsXSpUuJjY2lXbt2JzW0WLhwoaPqc5qcnBwCAgLIzs7G39/f2eXUiM1mo99zS0nLK+Z/0wfTu1WQs0sSkb+ylMGa1+DXfxsd8Nz9oEWX8jAUdIrQ1Oz4fc9AcKnW38rOrKzECHkHV8LB3+DI72AprrxPQFR50BpqhK2AltV/vcSNsOg+OLrZeBzeE8a/DJF9qn9MERERB6hqNqjWv8adOnWiU6dO1S5O6pbJZKJrpD+/7jnGjsRshSuR+iZlJyy843io6DAWxr8K/uHOrApc3aHVQON2wQNQWgQJ642ZrUMrjfvZR2DLXOMG0KzN8bAVcz74tTj76xRmGjNVGz4AbMZ5XyOfgL431b/mGiIiImdQrXA1a9YsR9chtaxrRAC/7jmmiwmL1CeWUuMiuL/+B6ylxgzUuOeh+9X187wiN09jdqr1+cbjknyIjzOC1sEVkLQJMg4Ytz8+NvYJ6Xh8Vivm/MpL+2w22DIfljwOBWnGWPeJxrlVvqF1+72JiIg4wDmFqzFjxjB+/HjGjx9P69ata6smqQUV511tV1MLkfoheTt8Mx2ObjEed7wIxr8CfmHOretcuPtAu5HGDaAoGw6vPR62krdB2h7jtn62sU+LbkbQiuwD69+H+DXGeEhHuPil48FNRESkATqncHXxxRfz7bffcv/999OuXTt70Bo8eDAuLlq6UZ91jTTWhu5NyaW4zIKHq/57iTiFpRRWvQK/PW/MVnkFwbgXoNuV9XO26lx4BkDHscYNjG6Gh1cfb5BxbBekbDNuFdy8jetVDZxuLEMUERFpwKrV0CI3N5clS5awaNEifvzxR0pLSxk7dizjx49n7NixBAU1/HN6GlNDCzCaWvR65meyCkr59s7z6N4y0NkliTQ9yduMToDJW43HncYb12yqynlJjUFeavmsVvn5Ws07wagZEBjl7MpERETOqKrZoFrh6kQ2m43ff/+dRYsWsWjRIrZv387gwYMZP348DzzwQE0O7VSNLVwBXPf+Olb+mca/Lu/G5AGtnF2OSNNRVgKrXoYVL4C1zOj0d9EL0PWKhj9bJSIi0gRUNRuYa/pCJpOJAQMG8Mwzz7Bp0yYOHTrE5MmTWbFiRU0PLQ7WpfxiwtuT1NRCpM4c3QqzR8CvM41g1fkS+Pu6xrEMUERERCpx+IVRIiMjue2227jtttscfWipoYrzrrarY6A42qHVkJ0AAZHgHwF+EUZnuaasrARWvggrXzo+W3Xxi9DlbwpVIiIijVS1wtWQIUNOu83Dw4M2bdpwww03nHE/qXvdyjsG7j6aS6nFiptLjScuRYzzZz4ef/K4d4gRtAJaGl/9I8D/xPuRjTeAHd1inFuVst14HDsBLnoJfJs7ty4RERGpVdUKVz169OCtt95ixIgR9O7dG5PJxIYNG1i+fDk33XQTycnJXHDBBXz33XdcdNFFjq5ZqqlVM2/8PF3JLSrjz5Q8YiMax7lk4kTFuUaIAAhuDzYr5CRBWaFx3aKCtOPNG07FO9gIWf7lM14BkZUf+0eAm1fdfC+OUFZsnFe18mWwWYzv7+KXoMvlzq5MRERE6kC1wlVSUhJvvvkm06dPrzQ+a9Ysli1bxnfffccbb7zBk08+qXBVj5hMJrpE+BN3IIPtidkKV1JzPz0G2fEQ2ApuXQ4efsaFYQszISfRCFrZCcbXnMQTxhLLA1i6cTtrAIv4SwhrCUExENbNuNZSfZC0yQiaqTuNx10uh4teBJ8Q59YlIiIidaZa3QJDQkI4cODASZ0ysrOzadu2LWlpaWRkZBAdHU1ubq7Diq1LjbFbIMBz3+9k9sqDXD8omqcndHV2OdKQ7V0Cc68y7t/4PcScwzJgewA7IXRlJ578uKzwzMcxmY123hG9IaInRPaGFl3B1aPa39Y5Kys2rlm16pXy2aqQ8tmqy+quBhEREalVVc0G1Zq5stlsbNiwgREjRlQaX79+faUCIiIiqnN4qUVdy8+7UlMLqZGCDPj2LuP+wOnnFqzAaOjg3cy4hZ0m5FcKYEmQk3D8fnYCHNsDecnGTFHqTtg8x3ie2Q1axJYHrl7GLbQzuLhV//s9ncQ/jNmqY7uMx12vMC4I7BPs+NcSERGReq9a4erWW2/lqquu4t5776Vv377YbDY2btzIK6+8wu233w7A7NmzuemmmxxarNRcRTv2nUdzKLNYcVVTC6mOHx80gk1wexj5f7XzGlUJYDlHjeV4SX8YXxP/gMIMo6HE0S2w8UNjP1dPYwnhiYErpD2YXapXW1kx/PpvWP2aMVvl09y4GHDspdU7noiIiDQK1VoWaLVaeeutt3jttdc4cOAAAG3atOGee+5h+vTpmM1mDh48SExMDKYG2nK4sS4LtFptdJvxE/klFpb8YygdWvg5uyRpaHYshC9vMJbk3fwztOzr7IqOs9kgK75y4EraDMU5J+/r7gvhPY6HrYhe0KzN2dukJ2yEb6bDsd3G425XwbjnjRAoIiIijVJVs0G1wtWJSkpKMJlMuLm52R+7u7vX5JD1QmMNVwBXvbOG9YcyefnqHvytd0tnlyMNSV4qvDXQaEJx/v0w8glnV3R2VitkHKgcuI5ugdKCk/f1DDghbJXPcgW0NAJXaZFxIeA1rxtdEX1CYfwr0PkUbehFRESkUanVc66efPJJnnrqKYBKQaqkpIQrr7ySb7/9tjqHlTrSJSKA9Ycy2ZaYrXAlVWezwaJ/GMGqRVe44CFnV1Q1ZjOEtDNu3csbcFgtxjlbSZuOh67kbVCUDQd+NW4VfJobISvzEKTtNca6XwNj/63ZKhEREamkWuHqnXfeISQkhLvuuss+VlJSwhVXXGFfJij1V8XFhHcknmKplMjpbJkPuxcZDSMufwdcG/AMtdnFaHrRIhZ6XWuMlZUYjTFOnOFK2Qn5x+DPJcY+vi1g/KvQSZeYEBERkZNVK1wtXryYESNGEBwczOTJk+3B6uDBgyxfvtzRNYqDVXQM3JGUjdVqw2xumOfFSR3KToAfy2eqhj1sNIdobFzdjXbuET2BqcZYaSEkbzeCVlkh9LpOs1UiIiJyWtUKV7169WLBggVceumleHl58f7773P48GGWL19O8+bNHV2jOFjb5j54upnJL7FwMD2fts19nV2S1Gc2G3xzJxRnQ2QfOO9eZ1dUd9y8IKqfcRMRERE5i2r34R42bBiffvopV111FYcPH2bZsmUKVg2Eq4uZzuHGiXi63pWc1YYP4MByo535Ze+AS7X+JiMiIiLS6FX5U9Jll112yvHmzZsTEBDALbfcYh9buHBhTeuSWtY1IoBN8VnsSMphQs9IZ5cj9VXGAVhS3hFw5JPQvINz6xERERGpx6ocrlq2PHVXudONS/1W0dRiW4JmruQ0rBZY+HcozYfoITDgdmdXJCIiIlKvVTlczZo1qzbroLS01H6trKqwWq0UFBTg5eWFi4vLafcrKyvD1VXLmP6qS2T5ssCkbGw2W4O92LPUori3IX6NcbHdy940WpqLiIiIyGlV+dPS6tWrq3zQVatWVXnfZ555huDgYDw9PencuTO//PLLGfdPTk7m2WefpXXr1vj5+bFy5cqT9klJSWHixIn4+/vj7e1NZGQkzzzzDDW8XnKj0j7UD3cXM7lFZRzJKHR2OVLfpO6GpU8b98c8B0ExTi1HREREpCGocri68cYbGTduHN988w1FRUUnbS8oKOCrr75izJgx3HjjjVU65ptvvskLL7zA119/TV5eHpMnT+aSSy5h//79p33Oe++9R2FhIXPnzj3tPtOmTWPv3r3s2LGD4uJiPvroI5577jk+/PDDKtXVFLi7mukU7gfANjW1kBNZSmHh7WAphnajoPcNzq5IREREpEGocrjavn07I0aM4O9//zv+/v706tWLsWPHMmbMGHr06EFAQAD/+Mc/GDVqFDt27KjSMV999VVuvvlmhg0bhpeXF0888QShoaG88847p33O448/znPPPUd0dPQZa7300kuJiorCZDJx4YUX0rFjR7Zv317Vb7dJ6BJhnHe1PUnhSk6w6hXjuk6eAXDpG6AloyIiIiJVUuWTkTw8PHjggQf4xz/+wYoVK1i9ejVHjhzBZDIxZMgQhgwZwvnnn1/l85vS09PZt28fQ4cOrTR+wQUXEBcXd27fxV/cdNNNfPbZZ1xyySVER0ezZMkSDh8+zKRJk2p03Mama6TasctfHN0Cv/3HuH/Ri+Af4dx6RERERBqQc+704OrqyogRIxgxYkSNXjglJQXgpGtjNW/enHXr1tXo2A8//DA7d+6kb9++uLi44OLiwttvv02/fqe/EGhxcTHFxcX2xzk5OTWqoSGo6Bi4PVFNLQQoK4YFt4O1DDpfCt2ucnZFIiIiIg2K09t/Wa3Wkx7X9EP+1Vdfzb59+zhw4AAlJSV8//333H333cyZM+e0z5k5cyYBAQH2W1RUVI1qaAg6tPDD1Wwis6CUpOyTz6OTJubXmZC6E7xDYPwrWg4oIiIico6cFq4iIozlRqmpqZXGU1NTCQ8Pr/ZxU1NTWbhwIY899hitW7fGbDYzatQorrzySt56663TPu+RRx4hOzvbfjty5Ei1a2goPN1caN+ivKmFrnfVtB35HVa/Zty/5DXwCXFuPSIiIiINkNPCVWBgIF26dGHp0qX2MavVyrJlyxgyZIh9rLi4mMLCqrcK9/DwAKCkpKTSeHFxMZ6enmd8nr+/f6VbU9Ct/LyrHWpq0XSV5BvLAW1W6D4ROo93dkUiIiIiDZJTlwU+/PDDfPjhh3z++efEx8dz9913U1hYyB133GHf5+9//3ulc6XKysrIy8ujoKAAgMLCQvLy8uxhKiAggDFjxvDkk08SFxdHamoqc+bM4euvv+aaa66p22+wAeh6wnlX0kT98hRk7Ae/CBj3b2dXIyIiItJgnXNDC0eaMmUKBQUFPPXUU6SkpNCtWzd++eUX+5JBAE9PT7y9ve2PP//8c2677TYAfHx8uOoq46T7Rx99lEcffRSAuXPn8tRTT3HjjTeSnp5OdHQ0b7zxhv15clxFO/ZtiTlqatEUHfgNfn/XuD/hDfAKcm49IiIiIg2YyWaz2c71SVlZWTz33HOsXr2ajIyMk7bv3r3bIcU5U05ODgEBAWRnZzfqJYKFJRa6PLkYqw3WPTqSFv6nXzopjUxRDrw9GLKPQJ+pcMmrzq5IREREpF6qajao1szVLbfcwpYtW7juuusICtJfuhsyL3cX2oX6sjclj+2J2QpXTclPjxrBKjAaRj/r7GpEREREGrxqhaslS5awceNG2rVr5+h6xAm6RgSwNyWPbYnZjOzcwtnlSF3Y+xNs+hQwwWVvg4evsysSERERafCq1dAiICCAkBC1am4sjje1aPwXThagIAO+vcu4P+jvEHOec+sRERERaSSqFa6uvPJK3njjDUfXIk5SEa7Ujr2J+OF+yEuBkA4w4nFnVyMiIiLSaFR5WeBll11mv19YWMiSJUuYP38+7dq1O6nD3MKFCx1Vn9SB2Ah/TCY4ml1EWl4xIb4ezi5Jasv2/8H2r8HkApe9A25ezq5IREREpNGocrhq2bJlpcft27d3eDHiHL4errQO8eHAsXy2J2YzrGOos0uS2pCbAt//07h//n3Qso9z6xERERFpZKocrmbNmlWbdYiTdY0I4MCxfHYk5ShcNUY2Gyy6FwozIKwbDH3Q2RWJiIiINDrVOudK6pDVCp9PgW1fGR+Qa0nXSKNf/7YEnXfVKG2ZB3t+ALMbXP4uuLo7uyIRERGRRqda4eqLL77g2muvPWn82muv5auvvqpxUXKCHf+DXd/B1zfDeyPh8NpaeRl7x0A1tWh8shPgx4eM+8MfhRZdnFuPiIiISCNVrXA1Y8YMnnjiiZPGn3jiCZ566qkaFyUn6HgRDH8c3HwgcSN8ONaYyUrf79CX6RJhhKuEzEKyCkocemxxIqsVvvk7FOdAy34w+G5nVyQiIiLSaFUrXB04cICwsLCTxlu0aMG+fftqXJScwN0bLngA7t4EfaaCyWzMZL3Z35iNyE93yMsEeLnRqpk3oOtdNSob3ocDv4Krl9Ed0KVa1w0XERERkSqoVrjq1KkT//vf/04a/+qrr9RFsLb4tYBLXoU71kD70WAtg3XvwOu9YPXrUFpU45fopqWBjUv6fvj5/4z7o2ZASDunliMiIiLS2FXrz9gPPvggN998M9u3b2fo0KHYbDZWrFjB22+/zQcffODoGuVEoZ3h2i9h/3JY8gSkbIOfn4D1s2Hkk9D1CvjLdceqqkukP99vO8r2RIWrBs9qgYXTobQAYs6H/rc6uyIRERGRRq9a4Wry5MlYLBaeffZZXnnlFQA6dOjA7NmzmTx5skMLlNNoOxxu+w22zIdlz0BWvNH0Iu4tGP0cRA8650N2LT/vSuGqEVj7JhyJA3c/mPAmmNUYVERERKS2mWy2mvX3zs/Px2Qy4e3t7aia6oWcnBwCAgLIzs7G39/f2eWcWUm+8WF61atQmm+Mdb4ERj0FwW2rfJiM/BJ6P/MzAFtnjMbf060WipVaZbXAhg/gp8fAUgyXvgG9r3d2VSIiIiINWlWzQY3/nO3j49PoglWD4+4DFzxY3vTixr80vXgYCjKqdJhmPu5EBnoBsDNJTS0anCO/w3+HwQ/3G8Gq03jodZ2zqxIRERFpMqodrpYtW8bYsWOJjo6mVatWjB07lmXLljmyNjlXfi3gktfg9tXQ7sLyphdvw2s9jaYXZcVnPUSXCCOJa2lgA5J3zDi/6v0LIXkreAbARS/C1Z9U+/w7ERERETl31QpXc+bMYcyYMQQGBvKPf/yDf/7znwQGBjJmzBjmzJnj6BrlXLWIhSlfwXULoEVXKM42ml7M6gvbv4YzrAS1dwxUuKr/LGWw7l14ow9s/swY6zUF7twI/W8Bs4tz6xMRERFpYqp1zlWnTp146KGHmDp1aqXxDz/8kP/85z/s3r3bYQU6S4M65+pMrBbYMg+WPQu5R42xyL4w+tlTNr1YvjuVqR+tp12oL7/cd0EdFytVFh8H399vdIsECOsOF78EUf2dW5eIiIhII1TVbFCtcOXu7k5aWtpJB87JySEkJISSkpJzr7ieaTThqkJJPqyZBatfO2PTi2O5xfR77hdMJvjq9sH0iQ5yUsFySnmpxrWrtswzHnsGwsgnjAtMa6ZKREREpFbUakOLiIgIVq1addL4ihUriIiIqM4hpba5+8Cwh+DuP6D3DSc0vRhQqelFcz8PxnYJw2aDWz7ZwOH0fCcXLoCxBDDuHWMJYEWw6n093LUR+k1TsBIRERGpB6o1c/Xyyy/z1FNPcdddd9G/v7EMad26dbzxxhvMmDGD++67z+GF1rVGN3P1Vyk7jfOw9v1iPPYIgKH3w4DbKLC6cM27cWxLzKZ1iA//u2MwQT7uzq23KTu8Bn54AFK2G4/DexpLAFv2dWpZIiIiIk1FrS4LBPjggw94/vnn2bdvHwDt2rXjwQcf5KabbqpexfVMow9XFfYtNZaZVXxwD2wFo2aQ2uoiLn9rLYlZhfSNDmLOtAF4uml2pE7lphgBeOvnxmPPQBj1pDHzqJkqERERkTpT6+GqQmlpKQBubo3rgrNNJlyB0fRi81yj6UVesjEW2YcjfR7iom8ht6iMi7uH88bEXpjNau1d6yxl8Pt/4deZUJwDmIwlgCOfBJ9gZ1cnIiIi0uTUSbjKzMzkzz//BKB9+/YEBTWe5gdNKlxVOEXTi8yIodxweBxbLdHcfkFbHh7XyclFNnKHVhsXAU7daTyO6GUsAYzs49y6RERERJqwWm1okZeXx7Rp0wgNDWXAgAEMGDCA0NBQbr31VvLz1QChwTqx6UXfm8HsSlDSCr51e4RX3Wbx/Yo1fLbusLOrbJxyjsLX0+Cji4xg5RUE41+FaUsVrEREREQaiGqFqzvuuIPVq1ezYMECkpOTSU5OZsGCBaxYsYLp06c7ukapa35hMP5l+Pvv0OVvAFzmsoal7vdTtuh+Vm3e6eQCGxFLqTFbOKsvbPsSMBlt1e/6A/qqvbqIiIhIQ1KtZYG+vr7ExcXRtWvXSuPbtm1j0KBB5OXlOaxAZ2mSywJPJ2kTtqVPY9q/DIACmwd5fW4ndPT94NnEfzY1cXCl0QXw2C7jcWQfuOhFiOzt3LpEREREpJJaXRYYGBhIWFjYSePh4eGN6rwrKRfRC9N1Cyib8g0H3DrgbSom9I/XsLzWA+LehrJiZ1fYsOQkwVc3wcfjjWDl1QwufQNu/kXBSkRERKQBq1a4mjBhAk888QTFxcc/VBcXF/P4448zYcIEhxUn9Ytru2GE3LeaZ70fZr81HJfCDFj8sLGkbct8o+ugnJ6lFFa/DrP6wfavAZNxbttdG41ugOZq/e8oIiIiIvVEtZYFjhkzhiVLlhASEkL37t2x2Wxs27aNtLQ0Ro8ejZeXl33fhQsXOrLeOqNlgaeXlFXIFbN+Y1jhEh70WECQNcPYENrFuA5T+9FgUsv2Sg78ZiwBTNtjPG7Zz1gCGNHTqWWJiIiIyNlVNRu4Vufg7du3p3379pXGYmNjq3MoaYAiAr2YPXUQ17wLCwqG8FKrtVyUPR9T6g6YezW0GgyjZkCrAc4u1bmsVvjzJ1j7JhxaaYx5B8OFT0OPyZqpEhEREWlkanwR4cZKM1dnt3xPKtM+3oDFauPhC1pwu8s3xsVvy4qMHTpeBCP/D0I7O7fQulZSAFvmGuejpe8zxkwu0PcmGPGY0WZdRERERBqMOrmIMEBpaSlubm41OUS9pHBVNXPXxfPogm0AvHRVD65oZ4JfZ8Lmz8BmBZMZekyCYY9AYJSTq61lOUdh/WzY8AEUZhpjHgHQ5wYYcBsEtHRufSIiIiJSLbXaLbC0tJQZM2YQFRWFu7u7fXz69Ons27evOoeUBmrygFbcMawtAA99vZU1xzxgwiyYHgedxhsBa/Nn8EYf+OkxKMhwcsW1IHkbLLgdXu0GK18yglVQDIx7Hu7bAaOfUbASERERaQKqFa5mzpzJl19+yUsvvVRpfOjQoTz99NMOKUwajgdGd+SSHhGUWW3cNmcje1NyoXlHmPgZTFsKMeeDpRjWzoLXesCKF6Ak39ll14zVCnuXwMeXwjtDYMs8sJZC1EC4+lPjIsADbgMPP2dXKiIiIiJ1pFrLAtu0acPChQvp3r07JpOJikMkJycTGxtLRkbDn53QssBzU1Rq4br317H+UCaRgV4smD6YUH9PY6PNBvuWwi8zIMVYQohvC7jgQeh9A7g0oGWlpYVG2/m4tyBtrzFmcoHYCTDo79Cyr3PrExERERGHq9Vzrjw8PMjKysLLywuz2YzVagUgLS2NqKgoCgsLq195PaFwde4y80u44u01HEjLp2ukP5/fOggfjxMaUlqtxvWdlj0DWYeNsWZtYMTjEHt5/e6el5sC69+DDe9DQbox5uFvXJ9qwG0Q2Mq59YmIiIhIranVc646dOjA6tWrATCdcD2jOXPm0L179+ocUhqBIB93Ppran2Afd7Yn5nDXvE2UWazHdzCboftVcOcGGPcC+DSHjAPw1U3w1kD47h74fTbEr4PiPOd9IydK2QEL/w6vdoUVzxvBKqAVjJkJ/9gBY55TsBIRERERoJrXuXrkkUeYMmUKjz/+OABff/01ixcv5sMPP+TLL790aIHSsLQK9mb2DX2Z9N84lu1OZcZ3O3hmQtdKIRxXdxhwK/ScbFwDas3rxsV1Ky6wC4DJmNUK6wph3SCsu/HVL7z2L1BcsYxx7Sw4sPz4eMv+xtK/TuPBpVr/64iIiIhII1btVuzz5s3j2WefZefOnYAxmzVjxgwmTZrk0AKdRcsCa2bx9mTu+GwjNhs8elEnbh3a9vQ7F2TAgV8hZbvReS95G+QePfW+Xs3Kw9YJgSukvWPO2yotgq2fG+dTHdttjJnM0PlSI1RF9a/5a4iIiIhIg1Nn17kqLCzEarXi4+NTk8PUOwpXNff+qoM8s8gI329O7s3F3cOr/uT8tONBq+KWthdslpP3dXE3LlQc1g1aVASvruAZULXXyjtmnE+1/j0oSDPG3P3Kz6e61WirLiIiIiJNVp2Fq8ZK4coxZny7g4/WHMLd1czcaQPoG9Os+gcrLYJju04IXOUzXSW5p94/MPqEWa7yW0DU8WWFqbuMWaotnxut4gH8W8LA241gVdVwJiIiIiKNmsJVDSlcOYbFauP2ORv5eWcKQd5u/G/6ebQOceAsp9VqdB48cUlh8jbIPnLq/T0DjNktsxkOrjg+HtEbBt8JnSfofCoRERERqUThqoYUrhynsMTCxP+uZUtCNjHB3vxv+nk083Gv3RctyDA6/VWErZRtkLrbuNCvnQk6j4dBd0LUgNpvlCEiIiIiDZLCVQ0pXDnWsdxi/vb2ao5kFNK7VSBzbxmIp5tL3RZRVmJ0JEzeDvmp0PkSoyOhiIiIiMgZ1Op1rsLDz6ExgQjQ3M+DD2/sj7+nK3/EZ/GPzzdjtdZxrnd1N8676jkJzrtHwUpEREREHKpa4aqkpITMzExH1yKNXLtQX/57fV/cXcz8uD2Zfy/e7eySREREREQcplrhavLkybzwwgtoRaGcq4Ftgnnhqu4A/HfFAT5de8i5BYmIiIiIOEi12qLt3buXJUuWMH/+fDp16oS7e+XmBAsXLnREbdJITegZSUJmIS/8tIcnv91BeIAXo2JbOLssEREREZEaqVa4at++Pe3bt3d0LdKETB/WliMZBcxff4S75m3i89sG0r1loLPLEhERERGpNnULPA11C6x9pRYrN3+8gRV7jxHi68Hntw2kbXNfZ5clIiIiIlJJrXYLPFFpaenZdxI5BTcXM29O7kXncH/S8oq55t04/kzJdXZZIiIiIiLVUq1wVVpayowZM4iKiqp0vtX06dPZt2+fw4qTxs/P0405N/c/HrD+G8fOpBxnlyUiIiIics6qFa5mzpzJl19+yUsvvVRpfOjQoTz99NMOKUyajmBfD+bdMoBukQFk5JcwaXYc2xKynV2WiIiIiMg5qdY5V23atGHhwoV0794dk8lkb8menJxMbGwsGRkZDi+0rumcq7qXXVjKjR/+zqb4LPw8Xfn4pv70bhXk7LJEREREpImr1XOuEhMT7d0CTSaTfdzV1ZXCwsLqHFKEAC83Pr15AP1jmpFbVMZ1763j94MNP6iLiIiISNNQrXDVoUMHVq9eDVQOV3PmzKF79+7ndKxffvmFCRMmMHDgQG655RaOHDly1uf8+uuvTJw4kZ49e7Jhw4ZT7pOTk8PTTz/NsGHDuOiii3TtrQbC18OVj27qx+C2weSXWLjhg99Zsy/N2WWJiIiIiJxVtcLVI488wpQpU5g1axYAX3/9Nbfccgv3338/Dz/8cJWP8/PPPzNu3Dj69evHc889R0pKCueddx7Z2ac/3+bhhx/mySefZODAgWzZsoW8vLyT9snKymLQoEH8/PPPPPTQQzz00EN89tlnrF279ty/Walz3u6ufHBjPy7o0JzCUgtTP1rPb3uPObssEREREZEzqvZ1rubNm8ezzz7Lzp07AWM2a8aMGUyaNKnKxxg0aBBt27Zlzpw5ABQVFREeHs4jjzzCgw8+eMrn5Ofn4+PjQ0JCAlFRUSxfvpxhw4ZV2ufee+/l66+/Zvfu3fj4+NjHS0pKKnU3PBOdc+V8xWUW/v7ZH/yyKxV3FzNvXdubUbEtnF2WiIiIiDQxtX6dq0mTJrFjxw4KCgrIy8tjz5495xSs8vLyWLduHRdddJF9zNPTk5EjR7J06dLTPu/EsHQ6c+fO5brrrjtp36oGK6kfPFxdeOvaPozrGkaJxcrtczby47ajzi5LREREROSUanQR4czMTLZt28aOHTvIzMw8p+cmJiZis9kIDw+vNB4REVGl865OJy0tjWPHjtG2bVvuvPNOBg0axBVXXMG33357xucVFxeTk5NT6SbO5+5q5o1JvZjQM4Iyq407523im82Jzi5LREREROQk1QpXeXl5TJs2jdDQUAYMGMCAAQMIDQ3l1ltvJT8/v0rHKC0tBcDDw6PSuIeHh31bdRQXFwNw//3306pVK1566SWGDBnClVdeyYcffnja582cOZOAgAD7LSoqqto1iGO5uph5+eqeXNmnJRarjXs/38xXGxOcXZaIiIiISCXVCld33HEHq1evZsGCBSQnJ5OcnMyCBQtYsWIF06dPr9IxgoODAUhPT680np6ebt9WHc2aNcNkMnHxxRfz4IMPMnjwYP7xj39w/fXX8+abb572eY888gjZ2dn2W01mz8TxXMwmnr+iO5P6t8Jmgwe+2sLcdfHOLktERERExM61Ok9asGABcXFxdO3a1T42fvx4oqOjGTRoEB9//PFZjxEeHk5ERAS///47l1xyiX08Li6O4cOHV6csALy8vOjSpQuhoaGVxkNDQ8+41M/Dw+OkWTSpX8xmE/+6vCsermY+WnOIRxdso9Ri5YbBMc4uTURERESkejNXgYGBhIWFnTQeHh5OUFBQlY9zyy238N5773Ho0CHAaESxe/dubr75Zvs+Tz/9NFdeeeU51XfHHXfwxRdfkJBgLB07evQo8+bNY8yYMed0HKl/TCYTT14Sy61D2wDw5Lc7mL3igJOrEhERERGpZriaMGECTzzxhP38JjDOdXr88ceZMGFClY/z2GOPceGFF9KxY0datWrF7bffzuzZs+ndu7d9n/j4eHbv3m1//O2339KzZ097UJo2bRo9e/bknXfese9zxx13cM0119C5c2c6dOhA27ZtGTRoEP/+97+r8+1KPWMymXhkXCfuHN4OgOd+2MWsZX86uSoRERERaeqqdZ2rMWPGsGTJEkJCQujevTs2m41t27aRlpbG6NGj8fLysu+7cOHCsx6vosNfTExMpecCHDlyhIKCAjp27AhARkYG8fEnn2sTFhZ20mxaTk4OSUlJREVFVamF+1+fq+tc1X+vL/2Tl3/eC8DdI9rxjws7YDKZnFyViIiIiDQmVc0G1Trnqn379rRv377SWGxsbHUOBUBISAghISGn3PbXrn3NmjWjWbNmVTquv7+/glEjd/fI9ri7mvn3j7t5fdk+ii1WHh7bSQFLREREROpctWaumgLNXDUsH6w6yNOLdgIw9bwY/m98rAKWiIiIiDhEVbNBjS4iLFJf3DSkNc9eZnSv/HD1IR5fuB2rVX83EBEREZG6o3AljcaUgdE8f0V3TCb4bF08D/9vKxYFLBERERGpIwpX0qhc3S+Kl6/ugdkEX2xI4J9fbKbMYnV2WSIiIiLSBChcSaNzea+WvDGpN65mEws3J3HP/M2UKmCJiIiISC2rVrgqKCio1GJ9yZIljB8/nnvuuYeCggJH1SZSbRd3D+eta3vj5mLi+21Hmf7ZHxSXWZxdloiIiIg0YtUKV48//rj9WlNZWVlcddVVBAUF8dtvv/Hggw86tECR6hrdJYz/XtcXd1czP+9M4bZPN1JUqoAlIiIiIrWjWuHqyy+/5JprrgHgp59+okePHnz66ad89dVXLFiwwKEFitTE8E6hfHBDPzzdzPy65xjTPt5AYYkCloiIiIg4XrXCVWZmJp6engAsW7aMsWPHAhAeHk52drbjqhNxgCHtQ/hoan+83V1YtS+NGz78nbziMmeXJSIiIiKNTLXCVe/evXnqqadYsmQJn3/+ORdddBEAW7ZsoWfPno6sT8QhBrYJ5tOb++Pn4crvBzO4/v117D+W5+yyRERERKQRqVa4euWVV/juu++45JJLmDZtmj1QPf/88zzwwAOOrE/EYfpEN2POtAH4e7ryR3wWI1/6jcmz4/hh21F1ExQRERGRGjPZbLZqX2XVZrNhMpnsj9PT0wkODnZIYc6Wk5NDQEAA2dnZ+Pv7O7sccaA9ybm88NNulu1OpeIaw6F+HkzsF8XE/q2ICPRyboEiIiIiUq9UNRtUK1wVFBSwZMkSLrvsMsBoxf7666/Ttm1bZs6cibe3d7ULry8Urhq/hMwC5v0ez+frj5CWVwKA2QQjO7dgysBozm8XgtlsOstRRERERKSxq9Vwdd999xETE8Pdd99NVlYW0dHRXHrppWzbto0hQ4Ywa9asGhVfHyhcNR0lZVZ+2pHMnLjDrDuYYR+PDvZmcv9WXNU3imY+7k6sUEREREScqVbDVVRUFBs2bKBFixZ8/vnnvPnmm6xYsYJ9+/ZxwQUXkJiYWKPi6wOFq6ZpX2ouc+Li+fqPBHKLjI6C7q5mLu4WzpSBrejdKqjSUlgRERERafxqNVz5+vqSmJhIQEAAt912G9HR0Tz66KPk5+fTokUL8vIafhc2haumraCkjO+2JDEnLp5ticcvL9ApzI8pA6O5rFckvh6uTqxQREREROpKrYaroUOH0rdvX8aOHcvVV1/Nr7/+Ss+ePVmzZg0PPvggq1atqlHx9YHClVTYciSLOXGH+XZLEsVlRldBH3cXLu8dyZSB0XQK0/tDREREpDGr1XC1ceNGJk6cSHx8PHfddRcvvvgiAJdddhlTp05lwoQJ1a+8nlC4kr/KLijlqz8S+CzuMAfS8u3jfaODmDIwmrFdw/B0c3FihSIiIiJSG2o1XFVQK3Zpimw2G2v3pzNn3WF+2pGCpbyfezMfd67q05LJA1oRHezj5CpFRERExFHqJFw1ZgpXUhUpOUV8vv4I836P52h2kX18aIfmTBnQihGdQnF1qda1ukVERESknqj1cLVs2TKef/55du3ahc1mIzY2lgcffJARI0ZUu+j6ROFKzkWZxcqy3anMWRfPir3H7OMRAZ5M6t+Ka/pHEern6cQKRURERKS6ajVczZkzh6lTp3LFFVcwcOBATCYTa9eu5euvv+bDDz9kypQpNSq+PlC4kuo6nJ7P3HXxfLHhCJkFpQC4mk3cN7oDd1zQVq3cRURERBqYWg1XnTp14qGHHmLq1KmVxj/88EP+85//sHv37nOvuJ5RuJKaKiq18OP2o8yJi2fj4UwAbhwcw/+Nj8VsVsASERERaShqNVy5u7uTlpZ20oFzcnIICQmhpKTk3CuuZxSuxJE+XH2Qp77bCcClPSJ48aoeuLvqXCwRERGRhqCq2aBan+4iIiJOeS2rFStWEBERUZ1DijRqU89rzWsTe+JqNvHtliRu/ng9+cVlzi5LRERERBzItTpPuvvuu5k0aRJ33XUX/fv3B2DdunW88cYbzJgxw5H1iTQaE3pGEujtzh1zNrLyzzQmv7eOD2/sRzMfd2eXJiIiIiIOUO1ugR988AHPP/88+/btA6Bdu3Y8+OCD3HTTTQ4t0Fm0LFBqy6b4TG76aD2ZBaW0ae7DJzf1p2WQt7PLEhEREZHTqLPrXJWWGt3Q3NzcanKYekfhSmrTvtQ8rn9/HUnZRYT5e/LJzf3p0MLP2WWJiIiIyCnU6jlXJ3Jzc2t0wUqktrUL9eXr6YNpH+pLck4RV72zlo2HM5xdloiIiIjUQJVnrkaNGlXlg/7yyy/VLqi+0MyV1IWsghJu+mg9f8Rn4elm5q1rezOiUwtnlyUiIiIiJ6hqNqhyQ4u+ffs6pDAROS7Q253Ppg1k+mcbWb7nGLd8spHnr+jOFX1aOrs0ERERETlHNT7nqrHSzJXUpVKLlYe+3sr//kgE4NGLOnHr0LZOrkpEREREoA7PuRKRmnNzMfPilT245fzWAPzrh93M/GEX+tuHiIiISMOhcCVST5jNJh67OJZHxnUC4N0VB3jgq62UWaxOrkxEREREqkLhSqSeue2CtrxwZXdczCa+2pjAbZ9upLDE4uyyREREROQsFK5E6qGr+kbx7pQ+eLiaWbo7leveX0d2QamzyxIRERGRM6hxuKq4iLCIONao2BZ8Nm0A/p6ubDicydXvriU5u8jZZYmIiIjIaVQrXJWWljJjxgyioqJwd3e3j0+fPp19+/Y5rDiRpq5vTDO+vH0wLfw92JOSyxVvr2H/sTxnlyUiIiIip1CtcDVz5ky+/PJLXnrppUrjQ4cO5emnn3ZIYSJi6Bjmx9d3DKZNiA+JWYVc9c5athzJcnZZIiIiIvIX1brOVZs2bVi4cCHdu3fHZDLZ20UnJycTGxtLRkaGwwuta7rOldQ36XnFTP1oPVsTsvF2d+Hd6/pwfvvmzi5LREREpNGr1etcJSYm0r59ewBMJpN93NXVlcLCwuocUkTOItjXg7m3DGRIuxAKSizc9NF6vt2S5OyyRERERKRctcJVhw4dWL16NVA5XM2ZM4fu3bs7pjIROYmvhysf3NiP8d3DKbXYuGf+Jj5ec8jZZYmIiIgI4FqdJz3yyCNMmTKFxx9/HICvv/6axYsX8+GHH/Lll186tEARqczd1czrE3sR7OPOx2sP8+S3O0jPK+YfF3ao9McOEREREalb1QpXkydPxmQy8eyzz2K1Wrnyyivp0KEDn376KZdffrmjaxSRvzCbTcy4tAshvh689PNeXl+2j2N5JTx7WVdczApYIiIiIs5QrYYWJyosLMRqteLj4+OomuoFNbSQhmLuungeX7gNqw3Gdgnj1Yk98XRzcXZZIiIiIo1GrTa0OJGXl1ejC1YiDcnkAa1469reuLuYWbwjmRs//J2cIl3cW0RERKSuVWvmasiQIafd5uHhQZs2bbjhhhvOuF99p5kraWjW7E/j1k82kldcRmy4Px/d1I9QP09nlyUiIiLS4NXqzFWPHj1YvXo1Hh4eDBo0iMGDB+Pu7s7q1auJiYkhOTmZCy64gB9++KHa34CInJvBbUOYf+tAQnw92Hk0h1Ev/cZ/V+ynqNTi7NJEREREmoRqzVxdfvnlXHjhhUyfPr3S+KxZs1i2bBn/+9//eOONN/jkk09Yv369w4qtS5q5kobqcHo+t8/5g11HcwCIDPTin6M7cFnPSMxqdiEiIiJyzqqaDaoVrkJCQjhw4MBJB87OzqZt27akpaWRkZFBdHQ0ubm55159PaBwJQ2ZxWpjwaZEXlqyh6PZRQDEhvvzyEWdOL99cydXJyIiItKw1OqyQJvNxoYNG04aP3GWKicnh4iIiOocXkRqyMVs4so+LVl+/zAeGtsJPw9Xdh7N4br3f+e699exMynH2SWKiIiINDrVus7VrbfeylVXXcW9995L3759sdlsbNy4kVdeeYXbb78dgNmzZ3PTTTc5tFgROTeebi7cMawt1/SLYtayfXwad4iVf6axat9KLu8VyT9HdyQy0MvZZYqIiIg0CtVaFmi1Wnnrrbd47bXXOHDgAABt2rThnnvuYfr06ZjNZg4ePEhMTAwmU8M8x0PLAqUxik8v4IUle/huSxIA7q5mpp4Xw/Rh7QjwcnNydSIiIiL1U62ec3WikpISTCYTbm6N64OZwpU0ZluOZDHzx13EHcgAINDbjTuHt+O6QdF4uOoCxCIiIiInqrNw1VgpXEljZ7PZ+HXPMWb+uIu9KXkAtAzy4oExHbmke4Q6C4qIiIiUq/VwlZ6eztKlS4mPj6esrKzStocffrg6h6xXFK6kqbBYbXy18Qgv/7yXlJxiALpG+vPouM4Mbhfi5OpEREREnK9Ww9XatWu5+OKLadasGfv376dLly7s27eP4uJievTowebNm6t8rKNHjzJnzhxSUlLo1q0bkydPPusSw+zsbD799FN2797NPffcQ/v27U+7b1xcHHPmzGH48OFcccUVVa5L4UqamoKSMj5YdZB3fjtAXrHxB5NhHZvz8LhOdArT/wMiIiLSdNVqK/YHHniARx55hH379gGwfft2EhMTGTduHGPGjKnycfbu3Uu3bt1Yvnw5fn5+PPfcc4wePRqLxXLa5/z3v/+lc+fOrF27ljfffJPExMTT7puRkcHkyZOZO3cuK1eurPo3KNIEebu7cueI9vz6wDBuGBSNq9nEr3uOMe61lTzw5RaOZhc6u0QRERGReq1aM1d+fn4kJCQQEBCAi4sLBQUFeHh4cOjQIc4777wzBp4TXX755WRmZrJ8+XJMJhMJCQm0bduW2bNnc/3115/yOdu2baNNmzZkZmYSFRXF8uXLGTZs2Cn3nTBhAgMGDOCLL75g2LBhvPrqq1X+HjVzJU3dwbR8XvhpNz9sSwbAw9XMzUNac/uwtvh7Nq4GNiIiIiJnUqszV3l5eQQEBAAQGhrK4cOHAQgICCAjI6NKxygtLeXHH39k8uTJ9nbtLVu2ZNiwYXzzzTenfV63bt3w8fE56/Fff/11MjMzG8X5XyLO0DrEh7eu7cP/pg+mX0wQxWVW3vp1Pxc8v5wPVx+kpMzq7BJFRERE6pVqhasTjRgxgvvvv59FixYxffp0evXqVaXnxcfHU1xcTOvWrSuNt2nThj///LNGNW3evJnnnnuOTz/9FLO5at9icXExOTk5lW4iAr1bBfHFbYOYfX1f2jb3IbOglKe+28mol39j0dYk1HBURERExFCtcPXKK6/Y7z///PMUFhYyceJE/vzzT959990qHaOw0Dh/w8/Pr9K4v78/BQUF1SkLgPz8fK655hpeeeUVoqOjq/y8mTNnEhAQYL9FRUVVuwaRxsZkMnFhbAt+unco/7q8GyG+HsRnFHDn3E1c9tYa4g6kO7tEEREREadzrc6T7r33Xvv9yMhIfv7553M+hq+vLwBZWVmVxjMzM2t0jlNF58E1a9awZs0aABITE/n111+58847ef311085m/XII49w33332R/n5OQoYIn8hauLmckDWjGhZwTvrTzIuyv2s+VIFhP/G8fwjs25Z1QHekYFOrtMEREREaeoVrgKDw/n6NGjNXrhVq1a4evry65duxg7dqx9fNeuXcTGxlb7uIMHD+bZZ5+tNObh4UFQUBCdOnWyn9/1Vx4eHnh4eFT7dUWaEh8PV+4Z1Z5JA6J4femfzPv9CMv3HGP5nmMM7dCce0a2o090M2eXKSIiIlKnqtUtMDg4mH379hEUFFSjF7/pppvYuHEjcXFxeHl5sXnzZvr06cPChQu55JJLAJg7dy6HDh3i0UcfrfTchISEs3YLrNCzZ091CxSpRQfT8pm1bB8LNydisRq/Us5rF8zdI9ozoE2wk6sTERERqZla7RY4efJkXnjhhRqfyP7vf/+b0tJS+vTpw+TJkxkxYgQ33nijPVgBLFu2jLlz59ofr1u3jjvvvJMnnngCgNdee40777yTH374oUa1iEj1tQ7x4aWre7DsnxdwTd8oXM0mVu9L55r/xnHNu2tZsz9NjS9ERESk0avWzNWYMWNYsmQJrVu3plOnTri7u1favnDhwiofq7i4mJ9++omUlBS6devGwIEDK21fvnw5ycnJTJo0CYDdu3fzyy+/nHSc/v37079//1O+xueff05kZCRDhgypcl2auRKpviMZBbz9236+3HCEUovxK6ZfTBB3j2zPkHYhp12eKyIiIlIfVTUbVCtc3XnnnWfcPmvWrHM9ZL2jcCVSc0lZhbzz237mrz9ivy5Wr1aB3D2yPcM6NFfIEhERkQahVsNVU6BwJeI4KTlFvPvbAT5bd5ji8pDVvWUAd49oz8jOoQpZIiIiUq/VWbgqLS3Fzc2tJoeolxSuRBwvNbeI91Ye5NO1hykstQAQG+7P3SPbMzq2BWazQpaIiIjUP7Xa0KK0tJQZM2YQFRVV6Xyr6dOns2/fvuocUkSagFA/Tx69qDOrHhrOHcPa4uPuws6jOdw+ZyMXvb6S77cexWrVZLqIiIg0TNUKVzNnzuTLL7/kpZdeqjQ+dOhQnn76aYcUJiKNV7CvBw+N7cSqh0Zw14h2+Hm4sjs5l7/P/YMxr67gmxNauouIiIg0FNVaFtimTRsWLlxI9+7dMZlM9hbLycnJxMbGkpGR4fBC65qWBYrUneyCUj5cc5APVh0kp6gMgDYhPtw5oh2X9ojA1aVafwcSERERcYhaPefKw8ODrKwsvLy8MJvNWK3GCeppaWlERUVRWFhY/crrCYUrkbqXU1TKJ2sO8d6qg2QVlAIQHezN34e34/JekbgpZImIiIgT1Oo5Vx06dGD16tUAlbp8zZkzh+7du1fnkCIi+Hu6ceeI9qx6aAQPje1EMx93DqcX8OBXWxn+4q/M+z3e3tJdREREpL5xrc6THnnkEaZMmcLjjz8OwNdff83ixYv58MMP+fLLLx1aoIg0Pb4ertwxrC03DI7ms7h43l1xgITMQh753zbeWPondwxvx9V9W+Lh6uLsUkVERETsqt2Kfd68eTz77LPs3LkTMGazZsyYwaRJkxxaoLNoWaBI/VFYYmHe7/G889t+UnOLAWju58E1faO4pl8UUc28nVyhiIiINGZ1dp2rwsJCrFYrPj4+NTlMvaNwJVL/FJVa+GLDEd7+dT9Hs4sAMJng/PbNmdQvilGxLXReloiIiDhcrYarjh07MmXKFK699lratGlTo0LrK4UrkfqrpMzK0l0pzP09npV/ptnHQ3w9uKpvSyb2iyI6uHH9wUdEREScp1bD1dNPP83cuXPZs2cPgwcPZsqUKVx99dUEBwfXqOj6ROFKpGGITy/g8w3xfLEhgWPlSwYBhrQLYVL/VlwY2wJ3V81miYiISPXVybLADRs28NlnnzF//nzS09MZN24cU6ZM4aqrrqruIesNhSuRhqXUYmXprlTm/R7Pij+PUfGbLdjHnSv7tmRiv1a0DtFsloiIiJy7OjvnCsBisbB06VIefPBBtmzZggMO6XQKVyIN15GMAr7YcIQvNhwhJef4bNbgtsFM6t+K0V1aqNOgiIiIVFmdhas9e/Ywd+5cPvvsMw4ePMgFF1zAsmXLanLIekHhSqThK7NYWb7nGPN+j2f5nlT7bFYzH3eu7GOcm9Wmua9zixQREZF6r1bDVXJyMvPnz+ezzz5jw4YNdO/enSlTpjB58mQiIyNrVHh9oXAl0rgkZhXyxfojfL7+CMk5RfbxAa2bMXlAK8Z0CcPTTbNZIiIicrJaDVeurq5ERkYyadIkrrvuOrp06VKjYusjhSuRxqnMYuW3vcZs1rLdqVjLfwMGertxRe+WTOofRbtQP+cWKSIiIvVKrYarFStWcP7552MymU7atnLlSs4///xzPWS9o3Al0vgdzS7ki/UJfL4+nqTs47NZ/WOaMWlAFOO6hms2S0REROq2oUVKSgoff/wx77//Pnv37lVDCxFpUCxWGyv2HmNu+WyWpXw6K8DLjb/1jmRS/1Z0aKHZLBERkaaq1sOVxWJh8eLFvPfeeyxatIg+ffowYcIELr/8cjp16lTtwusLhSuRpik5u4gvNxxh/vojJGYV2sf7RAdx7YBWXNRNs1kiIiJNTa2FqwMHDvDBBx/w0UcfUVhYyHXXXcdrr73WKGarTqRwJdK0Waw2Vv5pnJv1y67js1lB3m5c1TeKyf1bEaPrZomIiDQJtRKuRo4cyfLlyxkyZAi33norV155JZ6enphMJoUrEWm0UnOK+GLDEeb9Xnk26/z2IVw7IJpRnUNxdTE7sUIRERGpTbUSrkwmE/3792fmzJkMHz7c3tBC4UpEmgKL1cby3al8tu4wv+49Zr9uVgt/Dyb2a8Wk/q0IC/B0bpEiIiLicLUSrtasWcN7773HF198QXh4ONOmTePGG28kLCxM4UpEmpQjGQXM/T2eL9YfIT2/BAAXs4lRnUO5dkA0Q9qFYDaf3FFVREREGp5abWiRm5vL/Pnzee+999i0aROlpaUsXLiQ0aNH4+XlVaPC6wuFKxGpiuIyCz/tSGFO3GF+P5hhH48J9mbygFZc1SeKIB93J1YoIiIiNVVnrdi3b9/Oe++9x5w5cygsLGT06NEsWLCgJoesFxSuRORc7U3J5bO4w/zvj0Ryi8sAcHc1c3G3cKYMbEXvVkGnvD6giIiI1G91ep0rgJKSEhYsWMB7773Hzz//7IhDOpXClYhUV0FJGd9uTmLOusNsT8yxj3cK8+PagdFc3isSXw9XJ1YoIiIi56LOw1Vjo3AlIjVls9nYmpDNnLjDfLslieIyKwA+7i5c1iuSawdEExuh3y8iIiL1ncJVDSlciYgjZReU8tUfCXy27jAHjuXbx3u3CmTKwGhdnFhERKQeU7iqIYUrEakNNpuNtQfS+Swunp92JFOmixOLiIjUewpXNaRwJSK17UwXJ57cvxUXdGyOt7vOzRIREXE2hasaUrgSkbpScXHiOesO89sJFyd2czHRMyqQQW1DGNQmmF6tArV0UERExAkUrmpI4UpEnKHi4sTfbk6qNJsF4OFqpk90EIPaBDOobTDdWwbi7mp2UqUiIiJNh8JVDSlciYgz2Ww24jMKWLs/nbUH0lmzP51jucWV9vF2d6FvTDMGtQlmcNtgukT44+qisCUiIuJoClc1pHAlIvWJzWZj/7F81u5PY+2BdOIOZJCRX1JpHz8PV/q3bsagtsbMVucwf8xmXbRYRESkphSuakjhSkTqM6vVxp6UXPvMVtyBdHKLyirtE+jtxsDWwfaw1T7UF5NJYUtERORcKVzVkMKViDQkFquNnUk5rD2Qxpr96aw/mEF+iaXSPiG+HgxsY8xsDW4bQkywt8KWiIhIFShc1ZDClYg0ZKUWK1sTsok7kM7a/emsP5RBcZm10j5h/p72Wa1BbYKJaubtpGpFRETqN4WrGlK4EpHGpLjMwub4LHtzjM3xWZRYKoetXq0Cuem81ozrGqbGGCIiIidQuKohhSsRacwKSyz8EZ/Jmv1prN2fzpaEbCxW45+DiABPbhgcw8R+rQjwdnNypSIiIs6ncFVDClci0pSk5hYxJy6ez+IOk17ehdDb3YUr+7TkxsExtGnu6+QKRUREnEfhqoYUrkSkKSoqtfDt5iQ+WH2Q3cm5AJhMMKJjKDcNac3gtsFqgiEiIk2OwlUNKVyJSFNms9lYsz+dD1YdZOnuVPt4pzA/bjqvNZf2jMDTzcWJFYqIiNQdhasaUrgSETEcOJbHR2sO8eWGBApLjfbuIb7uXDsgmikDo2nu5+HkCkVERGqXwlUNKVyJiFSWXVDK/PXxfLzmEEnZRQC4u5i5tGcEN53XmtgI/a4UEZHGSeGqhhSuREROrdRi5acdyby/6iCb4rPs44PaBHPzkNaM6BSK2azzskREpPFQuKohhSsRkbP7Iz6TD1Yd5MftyfZW7jHB3kw9rzVX9mmJj4erkysUERGpOYWrGlK4EhGpuqSsQj5ee4h56+LJKSoDwM/TlUn9W3H9oGhaBnk7uUIREZHqU7iqIYUrEZFzl19cxv/+SODD1Yc4kJYPgIvZxNguYdw0JIberYLUyl1ERBochasaUrgSEak+q9XGr3tTeX/VQVbvS7eP94gK5OYhrRnXNQw3F7MTKxQREak6hasaUrgSEXGM3ck5fLDqIAs3J1FSZgUgPMCTK/u0ZFTnFnSLDFADDBERqdcUrmpI4UpExLHS8or5LC6eT+MOk5ZXbB9v7ufBiI6hjOgcyvntQ/B2VxMMERGpXxSuakjhSkSkdhSXWfhxWzJLdiazYm8aecVl9m3urmYGtw1mZKdQRnRuQWSglxMrFRERMShc1ZDClYhI7Ssps/L7wQx+2ZXC0t0pHMkorLS9U5gfozq3YETnUHq2DNTyQRERcQqFqxpSuBIRqVs2m419qXn8siuVZbtT2Hg4E+sJ/0KF+LozvGMoIzuHcn775rqGloiI1BmFqxpSuBIRca6M/BJ+25vKL7tSWbHnGLknLh90MTOwfPngyM6huo6WiIjUqgYTrmw2Gxs2bCAlJYWuXbsSExNTpedt27aNPXv2cMEFF9C8efOTtmdlZbFp0yZcXV3p3r07AQEB51SXwpWISP1RUmZlw6EMftmVytLdKRxOL6i0vWMLP0Z2NoJWz6ggXLR8UEREHKhBhKucnBwuuugi9u/fT6dOnfj999/5xz/+wbPPPnva5yxfvpwnnniCo0ePcuDAAZYvX86wYcPs2202G3fffTdff/01nTp1oqCggF27dvH6669zww03nFNtClciIvWPzWZj/7F8lu5KYenuVDYcyqi0fLCZz4nLB0Pw83RzXrEiItIoVDUbOHXB+uOPP05KSgq7du0iMDCQ3377jWHDhjFixAhGjBhxyudkZmYyc+ZMWrduTVRU1EnbbTYbHTt25ODBg3h4eAAwa9YsbrnlFkaMGHHK54iISMNhMploF+pLu1BfbrugLVkFJfy29xi/7Erl1z2pZOSX8PUfCXz9RwJuLiYGtA5mZOdQhncMJTrYG5NJs1oiIlI7nDZzZbPZCA4O5sEHH+Thhx+2j/fv35+uXbvywQcfnPH5CQkJREVFnTRzdSqpqam0aNGC77//nosuuqhK9WnmSkSk4Sm1WNlwKJOlu1JYtjuVA2n5lbZHBHgyqG0Ig9sGM6htMBFq9S4iIlVQ72euEhISyMzMpHv37pXGu3fvzubNmx36WsuWLcNkMtG5c+fT7lNcXExx8fGLWubk5Di0BhERqX1uLmYGlQenx8fHcuBYHst2p/LLLqP7YFJ2kX1WCyAm2Nsetga2Caa5n4eTvwMREWnInBausrOzAQgKCqo0HhwcTFZWlsNe5/Dhw9xzzz3ceuuttG7d+rT7zZw5k6eeesphrysiIs7XprkvbZr7Mu38NhSWWNhwOIM1+9NZuz+drQlZHEov4FB6PPN+jwegQwtfBrcNYVDbYAa2DibAW+driYhI1TktXFWcD1VQULnjU15eHp6eng55jaNHjzJ69Gj69OnD66+/fsZ9H3nkEe677z7745ycHJ2fJSLSiHi5u3B+++ac397oMJtTVMr6g8fD1s6jOexNyWNvSh4frTmEyQRdIvyNsNUmmH6tm+Gra2uJiMgZOO1fiaioKFxdXYmPj680Hh8fT5s2bWp8/OTkZEaMGEHr1q353//+h7u7+xn39/DwsAc+ERFp/Pw93RjZuQUjO7cAjOtqrTuQztoD6azZn86+1Dy2J+awPTGH/644gIvZRI+WAfaZrT7RQXi6uTj5uxARkfrEaeHK09OT4cOH89VXXzF16lQA0tPTWbp0KS+99JJ9v40bN5KRkcGFF15Y5WOnpKQwYsQIoqOjWbhwocNmwkREpPFq5uPOuG7hjOsWDkBqThFrDxizWmv2pxOfUcAf8Vn8EZ/FrOX7cHcx0zs6kEFtQhjcLpgeLQNxdzU7+bsQERFncup1rv744w/OP/98rr76agYNGsTs2bMpLS1l3bp19lmkadOmERcXx/bt2wHjHKr169eTkZHBbbfdxowZM+jSpQuxsbHExsZSXFxMnz59OHbsGC+99FKlYNW3b98qX6RY3QJFRORECZkFrN1/PGwl5xRV2u7l5kK/1s0Y1CaYwW2D6RoZoIsZi4g0Eg3iIsIAu3fv5r///S8pKSl069aNv//97/j5+dm3v/POO+zdu5eXX34ZgF9//ZVZs2addJyrr76aq6++mtzcXPtM2F/dcccdjBw5skp1KVyJiMjp2Gw2Dqbl25cQxu1PJz2/pNI+AV5ujOwcyriu4ZzfPkRLCEVEGrAGE67qK4UrERGpKpvNxt6UPNbsTzPC1oF0covK7Nu93V0Y3imUcV3DGNYxVI0xREQaGIWrGlK4EhGR6rJYbWw8nMmP24/y0/ZkkrKPLyF0dzUztH1zxnYN48LOLdTuXUSkAVC4qiGFKxERcQSbzcbWhGx+3J7M4u1HOZR+/BIkrmYTg9oGM7ZrGKNjw3QRYxGRekrhqoYUrkRExNFsNht7UnJZvD2ZxduT2Z2ca99mMkG/6GaM7RrGmK5hRAZ6ObFSERE5kcJVDSlciYhIbTuYll8etI6yJSG70rYeLQMY2zWcsV3DaB3i46QKRUQEFK5qTOFKRETqUmJWIT+Vz2itP5zBif86dwrzY0yXMMZ1C6NjCz9MJrV4FxGpSwpXNaRwJSIiznIst5glO42gtXZ/OmXW4/9UxwR7M7ZrOOO6htG9ZYCClohIHVC4qiGFKxERqQ+yCkr4ZVcqi7cns+LPY5SUWe3bIgI8GdM1jLFdwugb0+yUFy222WxYrDbKrMe/llmsJ41ZrNbybRVj1hPun7yfzQZtmvvQoYUfbi7muvyRiIjUOYWrGlK4EhGR+iavuIxf96Ty4/Zklu9OpaDEYt/m6+GKu6uZ0r8EJ4u1dv+Z93A10yXCn+4tA+neMoDuLQNpE+KD+RRBT0SkoVK4qiGFKxERqc+KSi2s/DONH7cf5ZedKeSccNHiqjCbwNXFjKvZhIvZVP71hMcuxpir2Wx/fHw/Exarjd3JuZUullzB18OVrpH+9GgZSLeWAfRoGUjLIC8tYRSRBkvhqoYUrkREpKEotVg5mJaPCcoDkBkXFxNu9uBkPK4IRi4mk0NmlqxWG4fS89mWmM2WI9lsTchie1I2RaXWk/YN8najW8tAepTPbnVvGUALf88a11BTpRYrydlFHM0u4mh2ofE1y/jq5mKmZZCXcWvmTVSQFy2DvPF0c3F22SJSxxSuakjhSkRE5NyVWazsO5bH1iPZbEnIYltiNruO5lBqOfnjRgt/D7qXB65uLQPpHhlAkI+7Q2tJzS0+Hpyyikgq/3o0xwhRx/KKOddPQiG+HkQ1M4JWReCqeBwR6ImHq8KXSGOjcFVDClciIiKOUVxmYffRXLYmZrP1SBZbE7L5MzWXU50O1qqZd/lSQmOGq2tkAL4eriftZ7XaSMsrJql8pqnia0VoOppdRGpucZXOOXN3NRMe4EmYvycRgV6EB3gSHuBJqcXGkcwCEjILOZJhfM0rPvPyS5MJWvh52sNWyyAvoiq+NvMmLMBTDUBEGiCFqxpSuBIREak9BSVl7EjKYUt52NqWmM3BtPyT9jOZoG1zX7pFBmCx2jiaXUhSVhEpOUWVWtSfjqvZRAt/TyICPQkP8CI80JNwf0/CA72IKH8c7ONepfPBbDYb2YWllcLWX8NXYanljMdwMZsI8/e0h60Tw1d4gBeBPm74ebjq/DSRekbhqoYUrkREROpWdkEp2xKz2ZqYxdbyc7iSsotOu7/ZBC38PQkL8DSCUkBFaDK+hgd4EuLrccoW9bXBZrORnl9SKWwlZBZwpPxrQmZhpVb6p+NiNhHo5UagtxtB3u4EersR6O1OUPlX+7hX+biPG4Fe7ni5181yxKJSCzmFpWQXlpJTZHzNLiwlu6CUnKIy++OKfSruF5RaCPJ2p7mvB839TnHz9SDUz4PgOvxvJlJVClc1pHAlIiLifMdyi9mWmMWOxBw83MyEB3jZZ6FC/TxwbUBL7CqWMv51tqvicUpO0SmbgVSVh6v5hDB2imDmVR7MfIxg5unmQm55GKoISTmnCkYnBKbswtIqBcSaMJugmc9fQpe/x0mhLNTPA1/N8kkdUbiqIYUrERERqWtFpRayCkrJLCghs6CE7IJSMssfZxeWkplfQlZhKVkFJWQWlJJVYNyvyhJJRzKbwN/LjYDym79n+VcvN/y9XO3jJ27zcnchM7+EY3nFHMs1bqm5x+8fyysmPa/4lOfinY6nm9kewIzA5WkPXyG+Hni5ueDmYsLVxYy7ixlXFxNuLibcXMy4upiN++aKcTNuLuYmPWtmtdrILykjr7iMvKIycoqO388rLsWEiXYtfGkf6oufp5uzy61TVc0GJ58hKiIiIiJO4enmQliAC2EBVW9Tb7PZyCsuKw9aRhCzB7D8UrIKS+whLLP8a1ZhKYUlFvw83QgoD0MnhqWzBSYfd9dauVC0xWojPf+EwFUeulJziu2hLK18PLe4jKJSK0cyCjmSUeiwGiquAedmNuHmasbVbMa9PKC5uphOCGnmvwQzE+6uZjxcXXB3MePhZj7hqwsebmY8XM3H93E98bEx5uF66n08XM1nnKW12Wzkl1jsISi3qIzcohNDUukJIcnYlltcRl5RaaX98krKqtw9MzLQiw4tfOkQ5kfHFn50aOFHu1DfJn+pAs1cnYZmrkRERETqr4KSMtJySziWV3TKmbC0vGKKSq2UWq2UWqyUWWyUWmzl963Gfav1nFvxO4vZxEmhzGq1GSGpuOqhqCpczSb8PF3x9XTFz8Ot/KsrJRYre1NySckpPm2N0cE+dGjhawSu8uAVE+LT4LtkallgDSlciYiIiDR+FqsRuErLA1eZxUpJeRgrs1opKTO+Vmw/HtTK97daKSk7vq2kzEpxmYXisor7FTeL/XHJXx6faqykzHrOyz1dKkKRh3Hz83TFz9PNeOxZ/ti+7Xho8j1hPz9PVzxczWc8ly2roIS9KXnsScllb3Iue1Ny2ZOSS1ZB6Sn3d3Mx0ba5L+1b+NGxhS8dWvjRMcyPqCDvWpkBrQ0KVzWkcCUiIiIizmSx2k4RxCz2QGY2mcoDlDHD5Ol25lBUm2w2G8fyitmbfDx07UnJ5c+UXPJLTn2JAi83F9qXh60OJ4SuMH/PeteoROGqhhSuRERERERqxmq1kZRdaMxuJeeVf81l37G803ae9PN0tS8rHN8tnMHtQuq46pOpoYWIiIiIiDiV2WyiZZA3LYO8GdGphX28zGIlPqOgcuhKyeVgWj65RWVsOJzJhsOZtGvuWy/CVVUpXImIiIiISJ1ydTHTprkvbZr7Mrbr8fHiMgsH0/LZU34u14A2zZxXZDUoXImIiIiISL3g4epCpzB/OoU1zNNyGnZPRBERERERkXpC4UpERERERMQBFK5EREREREQcQOFKRERERETEARSuREREREREHEDhSkRERERExAEUrkRERERERBxA4UpERERERMQBFK5EREREREQcQOFKRERERETEARSuREREREREHEDhSkRERERExAEUrkRERERERBxA4UpERERERMQBXJ1dQH1ls9kAyMnJcXIlIiIiIiLiTBWZoCIjnI7C1Wnk5uYCEBUV5eRKRERERESkPsjNzSUgIOC02022s8WvJspqtZKUlISfnx8mk8mpteTk5BAVFcWRI0fw9/d3ai3SMOg9I+dK7xk5V3rPyLnQ+0XOVX17z9hsNnJzc4mIiMBsPv2ZVZq5Og2z2UzLli2dXUYl/v7+9eLNJQ2H3jNyrvSekXOl94ycC71f5FzVp/fMmWasKqihhYiIiIiIiAMoXImIiIiIiDiAwlUD4OHhwZNPPomHh4ezS5EGQu8ZOVd6z8i50ntGzoXeL3KuGup7Rg0tREREREREHEAzVyIiIiIiIg6gcCUiIiIiIuIAClciIiIiIiIOoOtc1WM5OTn85z//Yc2aNQQEBHDDDTdw+eWXO7ssqae2bt3KrbfeetL4p59+Svv27Z1QkdQ3ZWVlfPfdd3zwwQccO3aM1atX4+LictJ+n3zyCZ9//jlFRUWMHDmS++67D09PTydULM5WXFzMV199xSeffILJZGLx4sUn7TN27FiysrIqjU2bNo1p06bVUZVSn6xZs4ZPPvmEP//8k8jISKZOncrw4cMr7VNSUsLrr7/OTz/9hKurK3/729+YNm0aJpPJSVWLM/3888/MmzePw4cPExMTw+23306/fv3s2zMyMrjoootOet7MmTNPem/VBwpX9ZTVamXs2LGUlJTwxBNPcPDgQa655hr++9//cuONNzq7PKmHcnJyWLduHb/99hvu7u728cjISCdWJfXJmDFj8PPzIyYmhkWLFnGqfkYzZ85k5syZvPTSSwQFBfHoo4/y+++/s3DhwrovWJyuX79+dOnShfDwcBYtWnTKfTZs2MC9997LqFGj7GMtW7asqxKlHvn444+ZPXs2119/PVdffTVxcXGMHj2a2bNnV/rsMnXqVFavXs3zzz9Pfn4+9913H4cPH+bZZ591XvHiFP/5z39YtmwZEydO5Nprr+WXX35h4MCBfPfdd/ZAVVJSwrp16/jss89o06aN/bkdOnRwVtlnZpN66X//+5/NZDLZDh8+bB976KGHbBERETaLxeLEyqS+WrlypQ2wFRYWOrsUqaeysrJsNpvNNm/ePBtgKy0trbQ9Ly/P5u3tbXvjjTfsY2vXrrUBtri4uDqtVeqHivfMK6+8YgsODj7lPsHBwbZ58+bVZVlST+Xm5p40dscdd9i6detmf7x161YbYFu+fLl9bPbs2TZ3d3dbRkZGXZQp9cip3jOXX3657cILL7Q/Pnr0qA2wbdu2rS5Lqzadc1VPLV26lB49etCqVSv72IQJE0hKSmLXrl1OrEzquyuuuIILL7yQe+65h0OHDjm7HKlHAgICzrh97dq1FBQUcMkll9jHBg4cSIsWLfjll19quzyph872nqnwyiuvMGzYMG644YZTLh2UpsHX1/eUYyUlJfbHS5cuxd/fn6FDh9rHJkyYQElJCStWrKiTOqX+qMp7psLdd9/NiBEjuPXWW9m8eXMdVFc9Clf11OHDh4mIiKg0VvH48OHDzihJGoBLLrmEqVOncvfdd5OYmEhsbCxbt251dlnSQFT8bgkPD680Hh4ert87clodOnRg6tSpPP7448TExHD55Zfz4osvOrssqQeSk5P54IMPuOyyy+xjhw8fJiwsDLP5+EfQ5s2b4+bmpt8zwt69e/nqq68qvWcABg0axE033cSDDz6Ii4sL/fr1O+1SZWfTOVf1VGlpKd7e3pXGvLy87NtE/qpfv358++239seXXHIJQ4YM4dFHH623v4CkfiktLcVsNuPm5lZp3MvLS7935LSWL1+Oh4cHAKNGjcLPz4/HHnuMO+64Ax8fHydXJ86Sl5fHhAkTiImJ4cknn7SPl5aW2t8vJ/L09NTvmSbu2LFjXHrppQwZMoS77rrLPh4SEsLKlSvtDZjGjh1LYWEh999/P+PHj3dWuaelmat6qlmzZmRkZFQaS09PByA4ONgZJUk9d6p/rEaNGsWWLVucUI00RM2aNcNqtZKdnV1pPD09Xb935LT++rtn1KhRlJSUsHv3bidVJM6Wn5/PxRdfTHFxMT/99JP9j8Nw6s83JSUl5Obm6vdME5aens6oUaMICwtj4cKFlTrZurq6ntTZdtSoUezdu5fCwsK6LvWsFK7qqd69e7Nly5ZKf8VZt24drq6udO3a1YmVSUOSnJysvxxLlfXu3RuA9evX28fS09M5cOAAvXr1clZZ0sAkJycD6HdPE1VQUMDFF19MVlYWS5cuPSkw9e7dm6SkJJKSkuxjv//+O4B+zzRR6enpjBw5ksDAQL7//vuTVm6dSnJyMu7u7iettKgPFK7qqUmTJlFcXMxrr70GQG5uLi+//DJXXHEFgYGBzi1O6qX33nuvUgOLFStW8MknnzBx4kTnFSUNSrt27Rg6dCgzZ860n0z87LPPEhgYyKWXXurk6qQ+WrlyJT///LP9cXJyMo8//jg9e/akU6dOTqxMnKGwsJDx48eTmZl5ymAFxpKuiIgInn76acC4/t5zzz1Hnz596NGjR12XLE6WmZnJhRdeSEBAAD/88MMp/yjz1VdfVVqFs3PnTl566SWuvPJKXF3r3xlOJpvtFBc6kXrhm2++YerUqQQGBpKWlkbPnj1ZsGCBps3llH7++WfuvfdeCgsLMZvNJCUlce+99/L000/Xy18+UvdmzpzJN998Q3p6Ovv27WPAgAEAvPHGG/YLNsbHxzNhwgQOHz6Mj48PFouF+fPnV+rsJU3H/fffz6pVq0hOTiYxMZE+ffoAMHfuXNq0acORI0e46667WL16NWFhYezbt4+RI0fy1ltvVep2K03D888/z0MPPUSnTp0qdZp0dXVl1apV9sfr1q3jqquuwmKxUFxcbF8K1q5dO2eULU5033338corr9CtW7dKM1ahoaH288g3bdrE9OnTOXLkCH5+fhw4cIDrr7+el19+GT8/P2eVfloKV/VccXExu3fvxt/fn9atWzu7HGkADh8+TFFREa1bt650MWGRAwcOkJqaetJ4bGws/v7+lcb27t1LcXExnTt3Vjhvwvbs2UNmZuZJ4z169Kh0Hk1WVhZHjhwhOjr6pPeSNB2JiYkcOXLkpHGTyWT/Y04Fi8XCrl27cHV1pWPHjphMproqU+qRQ4cO2ZcSn8jDw+OkZaLJycmkp6fTpk2bSr9/6huFKxEREREREQfQOVciIiIiIiIOoHAlIiIiIiLiAApXIiIiIiIiDqBwJSIiIiIi4gAKVyIiIiIiIg6gcCUiIiIiIuIAClciIiIiIiIOoCtDiohIk2C1Wtm0aROJiYlERUXRrVu3ShdI3rBhA8XFxZx33nlOrFJERBoyhSsREWn09uzZw+WXX05+fj49e/YkKSmJ3NxcXnzxRcaPHw/Ae++9R1pamsKViIhUm8KViIg0erfddhutWrXi+++/x8XFBYDDhw+zZcsWALZt28b+/fvJzc1l/vz5AAwfPpwWLVpU2h4VFUXPnj3txwBYt24dNpuNrl27smnTJnJzcxk6dCi+vr51/F2KiIizKVyJiEijt337du6///5KoSg6Opro6GgAdu3axcGDBykuLmbhwoUAdO3aFW9vb66++mq2b99Or1692Lt3L35+fnz33XeEhYUB8Pbbb7Nlyxays7Np27YtCQkJZGdn88svvxAbG1vn36uIiDiPyWaz2ZxdhIiISG0aP348W7du5eWXX2bUqFEEBgaetM/tt99OWloaX331lX3stttu48iRIyxcuBB3d3esVitXXXUVXl5ezJkzB4Abb7yRjz/+mGXLljF8+HAsFgt/+9vfyMv7/3bu2CW1MIzj+K+ChqjFDocGoXJoqMZQkAbNDv4FSW1nEfoDmqI/QXAQDgQiJm1FQ0NDcLIpVychCAoiCCMCu4SD6B0iwVv3Lr335rXvZ3vOec/hvONPn+f9Id/3/9UWAQB9gNMCAQADr1AoKBaLyXVdBQIBzc/Pa3t7W41G47fPtFot7e/va2FhQcfHxzo4ONDh4aGCwaDK5XLP2qWlJcXjcUnSyMiItra2dHZ2psfHx7+6LwBAf6EtEAAw8GzbVqlUUj6fV7Vale/7ymQy8n1flUpFw8Pvf2us1+t6eXlRtVrV7e1tz71YLNZTz8zM9NSzs7OSXue6Jicnje4FANC/CFcAgG9jdHRU4XBY4XBYoVBI6+vrurq60tzc3Lu1ExMTGhoaUjqdViqV+uN7n56ePqwtyzL38QCAvkdbIABg4F1fX7+71mw2Jak7fzU+Pt69Jr2Gq2g0qt3dXf06nnx3d9dTX1xc6OHhoVsfHR1penpawWDQ1BYAAP8B/rkCAAy8jY0NWZal5eVlTU1N6fLyUp7nKZ1Oy7ZtSa9zU/l8Xp7nKRAIKB6Py/M8JRIJraysaG1tTc1mU77vKxQKKZfLdd8/NjamRCKhzc1N3dzcKJvNqlQqfdhuCAAYXJwWCAAYeJ1OR6enpzo/P9f9/b1s25bjOFpdXe2uabfb2tvbU6VSUaPR0M7OjhYXF1Wv11UsFlWr1WRZlhzHUTKZ7D7nuq5arZZc19XJyYmen5+VSqXkOM5XbBUA8IUIVwAAfMJbuHo7mh0A8H3RrwAAAAAABjBzBQDAJ0QiEbXb7a/+DABAH6AtEAAAAAAMoC0QAAAAAAwgXAEAAACAAYQrAAAAADCAcAUAAAAABhCuAAAAAMAAwhUAAAAAGEC4AgAAAAADCFcAAAAAYADhCgAAAAAM+AlA5H2Z62ddrwAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -1182,7 +462,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 17,
    "id": "029d9552",
    "metadata": {},
    "outputs": [],
@@ -1196,7 +476,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 18,
    "id": "e5a4be23",
    "metadata": {},
    "outputs": [],
@@ -1208,7 +488,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 19,
    "id": "54bdaeeb",
    "metadata": {},
    "outputs": [
@@ -1246,7 +526,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 20,
    "id": "94a12d1b",
    "metadata": {},
    "outputs": [],
@@ -1265,7 +545,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 21,
    "id": "95c6068f",
    "metadata": {},
    "outputs": [],
@@ -1283,7 +563,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "id": "2f3dc920",
    "metadata": {},
    "outputs": [],
@@ -1301,10 +581,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "id": "4b8f947e",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Processed batch 1/1, with loss: 0.2218\n",
+      "Average loss over all batches: 0.2218\n"
+     ]
+    }
+   ],
    "source": [
     "# inference on test data, verbose is True\n",
     "predictions = predict_monthly_var(\n",
@@ -1318,66 +607,87 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 45,
    "id": "e823452b",
    "metadata": {},
    "outputs": [],
    "source": [
     "# add to monthly average\n",
-    "predictions_res = xr.open_dataset(f\"{run_dir}/202201_{var_name}_prediction_residual.nc\")"
+    "predictions_res = xr.open_dataset(f\"{run_dir}/202204_{var_name}_prediction_residual.nc\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "a7420dc7-fe1b-4f34-a62e-5914091f04b7",
+   "execution_count": 46,
+   "id": "d521af83-7120-4ce4-9f08-0c5d1567d9aa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# add to monthly average\n",
+    "input_data_averaged = hourly_test_subset.resample({\"time\": \"MS\"}).mean(skipna=True)\n",
+    "input_data_averaged[\"time\"] = monthly_test_subset[\"time\"]\n",
+    "predictions = input_data_averaged[var_name] + predictions_res[var_name]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "9bf2dc57-80c4-4c93-bd0a-f1c77f140573",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Creating dataset:\n",
-      "Crop grid (m x i x j): 1 x 1 x 1 = 1 data crops\n",
-      "Overlap: 0 pixels (height), 0 pixels (width)\n",
-      "1\n",
-      "Processed batch 1/1, with loss: 0.1285\n",
-      "Average loss over all batches: 0.1285\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 3 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
-    },
+    }
+   ],
+   "source": [
+    "ocean = ~lsm_subset[\"lsm\"].values\n",
+    "masked_target = monthly_test_subset[var_name].where(ocean)\n",
+    "masked_pred = predictions.where(ocean)\n",
+    "plot_results(masked_target, masked_pred, label=\"Water Vapour kg/m2\", title=(\"Target\", \"Prediction\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "0683310d-4424-4397-992e-74caaff69d11",
+   "metadata": {},
+   "outputs": [
     {
      "data": {
-      "image/png": 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",
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3330qFAq1eZx+77339rSDOtcfdthh7iPDms2bN7t/7+hR8NZlbt++XcViMTVr1ixP/b/88ssKgLr22mvdYUOGDFGRSET997//dYclEgkVi8XUxRdf3O7ydoYu86233nKHLVy4UAFQBx98sFq4cKE7fNGiRQqAuvfee3d5/Dt7nL6z5cyZM6dT+c6yrB3WU6FQUAcddJCyLEstXbrUHf7Pf/5TAVB33313m3luuOEGBcBzvHS23J5O253Y1q9fryorK93jK5vN9uh1lp09Tv+1r31NffGLX1S//vWv1R/+8Ad1+umnK8Mw1Mknn6wKhUK3likIfY3Y6Qc4TzzxBOrq6vCd73wHptn8YEVZWRnmzJmDP//5z7jrrrvcx3f33Xdfj100FAq5f8+dO9dj8Ww5rjPstddemDt3LgAgm81i8uTJuOuuu3D77bfj5ptv9jxCXF9fj/vuuw+LFy9GU1MTHMfB8uXLsWbNGiQSCZSXlyMUCmH58uV45513PIb7ljbwu+++G8FgsI299NOf/jTGjx+Phx9+GCeddFKX1gOgO8Yt1//YY48FQI/Of+5zn9uly/7qV7+KYDDofj/yyCNxww034NBDD/XEdNRRR+H666/HBx98gKOOOgoA8MADDyAWi+G8887zlPntb38bN998Mx544AHPY9mdWc/O0Nly7r///jaPObZHy8fvWtPQ0IBTTjkFAHDPPfd49it9l8bna9u0+f3+No/odrbcrkzb2vJ+0kkn4fTTT+9SbBs2bMCll16K888/H5/5zGc6jGNHy+sqb731FgYNGuR+v/zyy3HCCSfg0ksvxVFHHSWP5gu9zqOPPoqGhgZceeWVnmOooqICp5xyCh5++GFPd14HHXQQPvWpT7nfW7Y5rdugruavJ554AqtXr3Zz0ZIlS3DWWWfh+9//vjuNUsrTE0soFMJDDz2EzZs348477/S8bhONRjF37lz84Q9/wJ/+9Cc89dRTSKfT+MY3vuFZ7pw5czrV+8OTTz6Juro63H333W3uUg4ZMqRL66r55z//iVQqhcsuu8xT/zNnzsT06dNx//334yc/+Yk7fMqUKZ5eSOLxOA4++OB2X4XrLPvvvz8OOugg9/v06dMRCoWglML06dPd4VOnTkU0GsU777yDs846q1/j72w5V1xxBWbPnr3T8lqeu7XHN77xDbz99tv48Y9/jL333tsdvrOcAmCHOa+jcrsybWvL+/Dhw/Gb3/ymS7EppXDuueeivLwcP/3pT3cYR0fL6yo///nPPfnuggsuwMyZM3HxxRfjN7/5jQgghQGBXMQPcPTjTbfddhv+8pe/QCnlvjO+dOlSJBIJNDU1uY8Djx8/vsOydjSuM4wfP96TsM4880zss88++PrXv46DDz7YvcD/+OOPMXPmTAwbNgynnXYaRo4cCb/fj6eeegrvvvsukskkysvLMX/+fCxevBgHHXQQJk6ciKOOOgpf+MIX8OUvf9lNeh999BECgYCb1PX6K6WQSCSwdu3abq3LuHHjPN/j8TgCgYDnnbxdteyxY8d6vldXV+9w+JYtW9xhq1evxpgxY9wkqRk6dChisRhWrVrlGd6Z9ewMnS2nOz9qtCSZTOILX/gCli9fjoceeqjNe+KxWAwAPSYXj8c949LpNMrKyrpVblemffzxx5FIJNzvEyZM6HJs5513HiKRCH7xi190GMfOltdVWp7QAHRi+d3vfhdPP/00Hn/8cbmIF3odnb9+85vf4A9/+IMnfy1ZsgRbt25FPp93f9Tclflr7733xty5c2EYBuLxOPbff/92L45bL0evwx133IH77rvPsw4fffQRkskkGhoa3La39fymaWLcuHE77bZMO2omTZrUvRVsB+0N2GuvvdqMmzhxIu6//37PsNbtPEDtxptvvtntGFrnNQCoqqpqd3h1dXWbfAf0ffydLeeQQw7BIYcc0qWyW3PNNdfgD3/4Ay644AJce+21nnEtc0pr9A+7HeW8HZXblWnffPNNLFiwwP2uL/C7Etudd96JZ599Fs8++yyi0egOY+loeV2ldb4DgIsuugjz5s3DggUL5CJeGBDIRfwAR1+sfeELX+jw1/hwOOz+3VGDvrNx3eWzn/0sAHoXT1/E33TTTcjn83jppZc87xovWrTIM++kSZOwdOlSLFy4EC+99BKee+45nHLKKTjqqKPw73//Gz6fD36/H/F4vN1fu+fMmeNe6HaV9t7HMgwDjuO43/tq2foOQ0fDW8YUCAQ8F3Qax3E8J8MdLUuX27LM7sTcUTmnnXZahyKnlsyYMQPf+c53PMMymQyOP/54vPXWW7jvvvtw4okntplPn8ytWbOmTf/ta9eu9dzZ6Uq5XZn2L3/5i2cd9cVvV2J74403UFtb63miQnct98tf/hIPPPAA7rrrLlRUVHS4vN5Ax9lTP4YgtIfOXyeccAIqKyvbnablnbxdmb8mTpy407umlmV58ingzcFDhw5td75YLOa2ke1d1GQymTY/vLZGt93tyfK6i44pm822GZdOp9u0672VLzpTZmeW1V/xd7acW265Ba+88spOy7Msq92uSn/yk5/ghhtuwNe+9jXceeedbZ4Oa5lTWrNmzRr3B6KultuVab/xjW+4wjsA7g/UXYntjTfeQFlZGe68807ceeedAJrPa15++WXMnj0bX//61/HZz362w+X1FkOGDJF8JwwY5CJ+gKMfja+qqurUY1t9TXuG8g0bNmDUqFFtZGEtH5HSmKaJGTNmYMaMGbj66qtxww034JprrsG7776LqVOn4tBDD8WiRYtw9NFHo6qqapetR3v057I74sADD8Qf//hHbNmyxfOjzltvvYViseh5LaGz6JPonpyoaR555JEd9g/bEblcDl/60pfw2muv4b777uuwL9djjjkGAPDiiy967oC8++672L59u/ujUlfL7cq0X/rSl3ocW+sLc4DkWQsXLsThhx+OQw891L2Y6Gh5vcHbb78NoPt39wVhR+j8VVNT0+OndPoLvQ4VFRU7zMG67V20aJHneGpsbMTy5ct3eoddL+fll1/GAQcc0OF0Pp+v0221jmnhwoUeWWmpVMLbb7/drXzRl+yq+LtShzvijTfe8Nw17oiWr2Fobr75ZvzgBz/A2Wef7XklsiWjR4/GhAkT8OKLL3qGK6Xw4osvYubMmW1+dOpMuV2Zdtq0ae0+udaV2FpfmANkt3/00UddwaB+gqWj5fUGjY2NWLlyZZvzBEHYXZGL+AHO0UcfjaOOOgrf/e53sf/++2Pfffd1x61ZswYvvfSS+7h3X1MqlfCrX/0KAHDyySe7ww888EA8//zz+PDDD90Tl1tvvRUNDQ2e+e+8806ceOKJnovRdDoNwzDci+YrrrgC9957L8455xz85S9/8VhTX375ZTiO474v3tt0ZdnXXXcdPv7443Z/be9NLrnkEtx9991ubH6/H8lkEldeeSWqqqpwzjnndLlM/X56e7+od5XuvBNfLBYxe/ZsvPjii/j73/+OU089tcP59ttvPxx33HFu1z/Dhg1DqVTC97//fQwePNjTa0BXyu3KtL0RW3sX5ro7wUMPPbTXf7B74YUXEIvFPO95Ll26FPPmzcOwYcM89mRB6C2+8IUvYMaMGfj2t7+NSZMmeZ4iWblyJV5//fVu+R36kqOOOgrHHHMMrr76anzqU5/ClClT3HFr167F888/j3POOQfHHnssJk2ahJ/85Cc4+uijMXjwYDiOg2uvvRY1NTU7Xc6RRx6JT3/60/jJT36CGTNmuNbvfD6Phx56CGeccQYAYOTIkZ1uq4855hjst99++NnPfobPfe5zGDlyJADgpz/9KdasWdNud3Sd4YknnsC9996LefPmtWsn7y12VfxdqcMd0d134n//+9/jqquuwllnnYV77rlnh+/Mf/e738WFF16IRx991P0h7M4778TKlSvxu9/9rtvldmXansbW3oW5fl9+1KhRvZ7vtm7dimeffRZf/epX3R9QUqkUzjvvPJRKJVx22WW9ujxB2FXIRfwAxzAMPP7447j00ktx0EEHYcqUKRgyZAhWr16NUqmE6667rs9ieeaZZ9zGNpfL4b333kM2m8Xvfvc7fPGLX3Snu/rqq/HCCy/g4IMPxuGHH44NGzbgoIMOwqWXXuoR/ORyORx66KEoLy/HyJEjsW7dOqxbtw633Xab+77cqFGj8MILL+Dcc8/FmDFjcMABByAQCOCjjz7C+PHjccstt+yy9e3Ksp977rkeyX86y3777YcHH3wQF154IcaPH49JkyZh8eLFiMVieOqpp9p9D2xnVFRU4Pzzz8f8+fPx0ksvIRaL4dRTT+3WhWx37rb96le/wj//+U+MGDECDz30EB566CHP+CuuuAKHH364+/2vf/0rvvKVr2DffffF4YcfjqVLl6JUKuHJJ5/0PP3RlXK7GkNHdDa23qLl45zJZNLtUxsggaKW85WXl+OKK67Ahg0bMGHCBDQ2NuLtt9/GtGnTcM899/T6I4uCANDFy5NPPolLLrkEBxxwAA444AAMGjQIq1atguM4mD9/fn+H2CkeeeQRfPOb38S0adPcHLxmzRoUCgVXjGdZFh599FF8+ctfxj777INp06Zh3bp1uOyyy7B06dJOdYn3yCOP4IILLsCMGTNwwAEHoKKiAkuXLsXFF1/sTnP55Zdj9uzZOOSQQzBy5EiMHTu2Q7eGZVl44oknMGfOHOy7776YPn06Nm7ciLVr1+LXv/612z50lQ8//BALFizAhRde2K35O8uuir8rdbgjuvNO/NKlS/HNb34TPp8PyWSyTZ6dOXOm5zzpggsuwNq1azF37lwcdthhKBQKePvtt3HrrbfiC1/4QrfK7WoMHdHZ2HqLV199Fb/+9a8B0NOHAIlf/X4/xo8fj5///OcA6BXT559/HldffbXbt/zixYsRCARw3333dUnqKwj9iaG0gUUY8NTV1eHdd99FoVDAuHHjMHHiRM+vp0888QSGDRvW5pfx+vp6PP/88zjssMMwbNiwLi83n8/jiSee8AwLBoMYMWIEJk2a1K4lWCmFd955B5s2bcLEiROx1157YcWKFXjnnXdw/PHHu49ZFYtFfPjhh1i7di0GDRqEAw44oEPr8Mcff4yPP/4YkUgEe++9N4YPH+6OSyaT+Ne//oXp06e7fda3N2xHdfHoo49i3Lhx7T7KuKNlF4tFVFVV4Wtf+xpuvfXWDuuxo2U3NDTgueeew4wZMzzlJhIJ/Pvf/8ahhx7axuaez+exaNEibNu2DcOGDcNBBx3keWSvO+v5/vvvY8WKFSgWi5g8eTImT57c7frqCkuWLMGHH37Y4fj21h8APvjgA6xYsQLV1dWYPn16G0tuV8rtbgwdsbPY2mP9+vV444032uwHO2LhwoVYt25du+P222+/Nu/Pr1u3Dh9++CFs28Y+++zTrlxKEHYFW7duxbvvvotSqYRx48Zhr7328uSvxx57DGPGjPHY6QHKey+99BKOOOKIblnaM5kMnnrqKey9996eu+itee+997Bs2TLPU2Wt2bZtGxYvXoxCoYCxY8di4sSJbR6Vtm0bb7zxBhKJBA488EAMHToUL7/8MorFIo4++mh3umeffRbxeNzTm4xmw4YN+N///odwOIwDDjigjU9g8+bNeOedd5DJZFBeXu72FrKjMpcsWYKVK1ciGo3i4IMPbuMYePLJJ1FbW9vmjunChQtRX1/vuSibM2cOFi1ahKVLl+7wXf+OytQ/OLd8MggAnn76aVRVVbV7Ydyb8QMd12FXy+kqOt93xMiRI9td/61bt+Ktt96CZVmYPn16m77cu1Jud2PoiJ3F1h6O4+CRRx7B6NGj2+wHHaFzZHtUVVV5ji+AzqHef/99bN++HSNGjMD+++/fqVwsCLsLchEvCLuYV155BbNmzcKKFSu63RWQIAiCIOzuKKUwZMgQ/PrXv97tX4UQBEEYyMhFvCDsYlauXInNmzfjsMMO6+9QBEEQBGGXkcvl8NRTT+HEE0/s1nvUgiAIQucYkBfxtm0jmUwiFovt8NGXXC7X4aPXws45++yzd9idTWVlJf74xz/2YUSCIAh7JkopJBIJRCKRdruw0mSz2TbGaaEtO+vOcvDgwbjtttv6MCJBEARB6D0G1MsfGzduxB/+8Afcdddd2LBhA1544QV8+tOfbjPdD3/4Q/zmN79BKpXC2LFj8dvf/hazZs3q+4AHOKeccsoOT4LkBxJBEISe0djYiD/96U+444478PHHH+OPf/wjzj///DbT3XnnnfjhD3+Ibdu2YfDgwfjpT3+Kr33ta/0Q8cDgK1/5yg57wohGo30YjSAIgiD0LgPqIv7ee++FUgoPP/wwZsyY0e40v/3tb3HLLbfgn//8J6ZPn46bb74ZJ554It5//33p67iL7Mr+pwVBEATg8ccfx9q1a/F///d/HUogn3rqKXzjG9/A/fffjy9/+cv4xz/+gXPOOQejR49uI2sSiIHa77wgCIIgdIYB+Tj9+vXrMXLkyHbvxI8fPx4nnniip3/QMWPGYPbs2bj55pv7OFJBEARB6ByhUAi/+93v2tyJ//znP49QKITHH3/cHXbMMcegrKwMjz32WB9HKQiCIAhCf7NHWUe2bduGlStX4ogjjvAMP/LII7Fw4cJ+ikoQBEEQus/ChQvb5LWjjjpK8pogCIIgfEIZUI/T74ytW7cCAGpqajzDBw8evMOTnXw+j3w+7353HAf19fWorq6GYRi7JlhBEASh11FKIZlMYtiwYXuEHbtQKCCRSLSb13TOaw/Ja4IgCHsGe1peE3qHPeoiXuM4jud7qVTa4UnLDTfcgPnz5+/qsARBEIQ+Yt26dRgxYkR/h9FjdO6SvCYIgvDJZk/Ja0LvsEddxA8bNgwAsGXLFs/wrVu3uuPaY968efj2t7/tfk8kEhg1ahRWLX4DZWUxOB++BgDwjZ4MAHCCZLXNlw0FAFgmnUj5mjbDKNGdDzPbRIXpE7BQGQCgWDUaAJDK2yjyOZnWEmiPrsWfHzfkqCwAET/98hYJ0FjboXmifvquf5gL8PIs0wBPgpCPhoW5jMCWjzmmGC3fH4Zhs4XeoGmMEn1X+iTRHZ6H4ZRo/kCUy4nTOLtIseRTFGOk0p1HBSJoiW0Fqc4y22kaLlNZAcCi7pU22zRNkVdkUxPFlC1RTW1syqEi7AcAVIToc0MT1dnQOJnz8yWq5I1JGh7xWRhVTt0z5fmkeGwFLWeYmaH4M/UU2/BJEARhYNHU1ISRI0eirKysv0PpFfx+P2pqanotry39eBlqjAzs9/4DAAiMoXbOLq8FACSD1QCAkI/afH9yc3Pbnk1QYZwPnHA5AKBQPpzmLVDbrFRzjipyfjM5l6zivKZ/kgiaJmJB0zONzlV+zq1By/B8tx2FEE8TLFK7bW35iArkXKvztFHKN+evIuVn5fN76sosZOkPx4YTqeD5Y83zozmn22WDeJ5M83SK1kb5Kbf4Ehs85SuTTrWU5XfPG7J8ArA1W3LXCQAa+HvIZyIWpPy+LkExjKukvJbMUz2vSeTcaWl82C13SJTWscZppPpJ1tHnmE9BEISBxZ6W14TeYY+6iK+oqMB+++2H5557Dl/5ylcA0N2L559/HhdeeGGH8wWDQQSDwTbDy8piiJeVwYnSBaivjJK6Tu75OF28uhfxKg2jRInT9PEluT7Z4QvmIs9jtHcRzxfdfL6CaJHLMoAIX6xHO7iIt/RFvNnxRbz+ISCQ4fXgkx0VCLsX7S0v1gFA8ffm4f4WF/FcTlhfxFMZJp1XwI7y8FIOKuDtzse9iLdoHvci3td8EZ8u0QmLvohvUhSTUaS6DTt+RPgiPsqfYYe/x2heiy/i9fCw30K0jE+0bBpXVkbTxi3+QYRj8vG2EgRh4LEnPTI+c+ZMPPfcc5g3b5477N///jdmzpzZ4Twd57UyxA0LdpTawUAZtc02nxwa/KOsexGPdHPb3jqvhSkHFHRb2d5FvOO9iI9yjtT5KWg1X6zqaSKtL+I5h+n8VnKUe6EfLHIOTHOOCXvztFHyt7iIp2W3vYjnn86dEpyINz8axQCvO+ULO07DzbzZPJ17Ec/nCk7CU37zRXzAPW/w8QlAxue9iC/46AcTuoin+SI2JdUY5y4VsHm4352WxkdgcbllMRoX5272LNAPFZbkNUEYsOxJeU3oOQPqIr5QKCCTyaCpiX4RT6VSaGxsRCgUcvssv+aaa3DOOefgiCOOwIwZM/CLX/wC+XweF198cX+GLgiCIAhtsG0byWTS/Z7NZtHY2IhAIIBIhC4Kv/vd7+LII4/EL3/5S5x88sm477778NZbb+H3v/99f4UtCIIgCEI/MqDsCA8//DDGjBmDww47DOXl5TjjjDMwZswY3HLLLe40X/3qV3H77bfj5z//OWbMmIFly5bh+eefx9ChQ/svcEEQBEFohzfffBNjxozBmDFjEAqFcN1112HMmDG44oor3GlmzJiBxx57DA8++CAOOeQQPPnkk3jyySdx0EEH9WPkgiAIgiD0FwOyn/hdTVNTE8rLy1G/5DXEy2KwVy8BAFgj9wHQ/Cieo9/55vfpzMaNcBLbPWWZ5fR+oSojs7B+hzAbrHQfn8vzc/T6MfqUflcuTY/VFW3lPi4X5M8iz1MToYcp9COLYR4f8hnIlZT7d8vyY4k1FBO/vwfDhJmu91YCP7Kj34VUfn4s07bdSfTjhk6Mrcm8Kxn8Tryh9PsCDj0mD0AF2Q1gUNz+Etcdz6N8AWxy+BFN27trvrmBHlHU712+t775kcW9amkeXaf6FQf9usGWZN4dPn1kBQAgxeVMrKa7XRUhmraCn7QMrF8Mc+LhEARh4KDb70Qigbg8Ouyi62XLpo2oaVqJwkrKa/4R4wEARoRyk83tuX6lCpuWAya1jU6GnoLzDaJ34J1oFX1yXiuF6XvBdtq032nOa9sy9Ph4jl91CvlM9/12fTZSxW2xfm8+yuN1fsuWHPeRe5Pj9G98n8rgx+g1qrHZJWD4OQ/l6fF0I0hP8MHhvOYLNL9Tz+/Gt37FzCjx+2Ilzo2BMJxotWeZZprOA8x8msriMnMVo1ByvPXy9ua05/uy7Rn378FRilfns9avG2xO5j3zHlAbd+t1SJRyrM5rgSItx/iYHD/+g78EQRAGBpLXhPYYUHfiBUEQBEEQBEEQBOGTjFzEC4IgCIIgCIIgCMIAQS7iBUEQBEEQBEEQBGGAIBfxgiAIgiAIgiAIgjBAGFBdzPU1drQGdqwMviEjAQCldUsBAGasAgDgizYCABQLbuztmwGTxXNrPwYAhKd+BgBgsOBGy+SsEGBazX26A83iOd1/vJbZRQMGknmWAeVoZHWE7Gu6y0gtAtIELAMBLtDXom9dAM19trN4ziikAcs7vyvtsXg5RRbolPKu5EiFhtEn94HrGLrPeqt5WgAo5mBmGmhQmGSAfu4XXvc/rCzuR9cXQipFcfm4mHUJKkd7klZvo7qsS+YQDtB8yzaTGC/F9RQO0Mz7DCWh0JurSNx3wv5DYXGlNWRpHdMFx1NPFq9Hec1YmO8+S+MO+BwEQRAGOmauCXb5MPjHULtXXElCOP+oiTQ+w8JQbsftTNLNeXbdBgCAb+g4AC3yQoTzXgtpm5awtpaNaspD1HZvyxSQKdK4QSxy00K7Ss5rus22bFpe1BdolqGyeK610E4LVsEyOwBQRco3WminspyXWWxn+IpQFZzXtIyV+37XQjujQHGbYIFrchugJbfFnKdedGxajpcpOm7/9lvSlKsiLF9dWU9Cu3SBc5jfwtZ0wTOsIkz5eHgZxf/RVorh0NG0fJ8FNKQor2npbSLvcF1S/fhH7w8AKLz6IAKHnwpBEARhYCJ34gVBEARBEARBEARhgCAX8YIgCIIgCIIgCIIwQJCLeEEQBEEQBEEQBEEYIMhFvCAIgiAIgiAIgiAMEOQiXhAEQRAEQRAEQRAGCGKn3wHK8kNZATjRKvpurwYAODky2pplFTwl2WCtUZNgr/+I/i6vBgCU2OZrjdgbAJvgAQSKaWR9ZInX1nhoOzr/tDKIDfTZkoNCiQy2RUN7ewlt/tVlxAPNv8uYvCyjQNZbyxfwzGvmk21Xmq30RjFL331B+mSbvCoVYQT93nJ4OQiSCV5b712zvV2A8oU85bpmYY7JtRybPgA0bZY1/UGukEo28w6KB91lr2+gdVu2hdblILb0vruuEQCQytH6VMdonleWb0fOpnL93JPAsnqKf/IgsvfqurRD5agu5NrWkSAIwkDF9EH5g1BlNfydcouTpjbUGjSChnObb46dArVhGf1dMZjGcc8jKko5zCiRRT1sUluaMCKwOQ9os7zuLUVb07MlamdDPtNtixWnwgJ3RVLkz6BNsemeUMzcdlhZ6vHENcBzGUg30nCOCQCUTfZ5lctw/Nz7Cn82140JQ/fawj3KOBbnTeXNvXq5RjDqTmtxLyw6TjePch1bMQNpzmu6PirDNO1gzlEmnwdsyxRQl6R6njiYctP7G5sAwO2tpraccuXbG6hHgaKjYHJ9r+VeXWpjFH+B814sRNuwLN1O/hcEQRAGDHInXhAEQRAEQRAEQRAGCHIRLwiCIAiCIAiCIAgDBLmIFwRBEARBEARBEIQBgrwTLwiCIAiCIAiCIHSbXC6HQqGw8wk7QSAQQCgU6pWy9lTkIn4HGKU8jFIOdtkQAIAZJomPFto54XKaME2yGbOYhRmKestgcZsWuJk5ksk40RKC/ByElvlooVqAxTaRAH1uySgEfCy9c2imMH/387QGy2wc0KetFIJaxOOQ1MdMb+dY6KBQ9Zvos5Bz181O0DRGgKbRgj4ny/I6x4GqGErTFEn6pgU/ppHm8knQY7A4z0rWQVks+rELnnlgszAvRFI8ZfrgIwcQfCy0y5VoPYos5knlaJ5wwILFMqN0suAOa/m5qZFi3H9kBQCgIuJHTYS2xX9Xk4ToiPG0jqsbs546nTI4CnPQKIrh2bsBAKHPnQdBEISBivIF4IQrUQqTsDUwaCUAwBhMbV0pTu27maqj6a0AzGHjAQBWgUVtNgnhnCi1nVrslvezrLXgIMvttsHL5a8o58SXLLA4zzDcvytC3lMSbophh+JUFidLo5BplrDysg0fiU+LG1dR3CygNQIhOKlG928AsAYNp2lYfqeKVJZ/0AhofZ2W04HzHFwxLAnjtIzVaCG8c4Kc/zm/Kf6u852jmh9/1FJaLXCtz3Kd6uEFG0s30bnFhBoqJ1OgXL5kAw3fZyjlzSFllHP9poE3Wep6yCiSvC6vJ5mfzqNTh9E8VXsdiNxTtwMAQsddDEEQhJ6Qy+VQHY4hA7tXyqutrcWqVavkQn4HyEW8IAiCIAiCIAiC0C0KhQIysHE6hiPQw7e1C3Dw980bUCgU5CJ+B8hFvCAIgiAIgiAIgtAjwjARMHp2EW+pXgpmD0cu4gVBEARBEARBEIQeYRkGLMPY+YQ7KgMGIBfyO0Xs9IIgCIIgCIIgCIIwQJA78TvCCgBWwBXXOFpgFyUxjJlNAADsAolvnFIRZiVL8BwWtvE4tZnkQSpI73YYhSyaTCon6KPfUqImi4D0vIplcAaQY/lNTYSGVYXpU8vwwlyGVSSJje0Lu4I5sLzHKLFsR4vnWAxkb98Mh4U/WgBkxklYZA4ezTE5zWWxnE5L+pRFQiE7TuueA0l4yurX8vJCMFhgp+V6TmyQpw5LLEjalC4hytK+hjzJMUK8bg05indInGJtyhWx/0iSC67bRhKjAst7hpaHKSauH13HtqOwsYm2SSpPMW3P0PqMq4oAAIp2889/dnwwrb8pv3cJgjDwKZgBODDgaElcuJWMldtkV9zmlOD4qW1EIAYAMAspAIDVuBEA4ERJkqfvvWzLllxBaBlLRv0mLU83r5kite8N2SKGc5seC1A7W2zVbpssl7NZymoEY0BqG/3NQjvlpzZfcV7LrllDZVSVI19P6xSsoTh9w/kdS53X3M8SjIYNtMwgrbPNuakYraEyNn7AMXCd2EU3j+l6MNP1NKqM8kejnyRzYZ+BhhwtK8Di1k3JjKee2NGKvQfFsHRT0lNXQyso7vX1LBhkcix93dCUw/YUFbAhSXU2piLsmVafM5QGjYe5/mMIgiD0JqYBWD27EU93mOVO/E6Ri3hBEARBEARBEAShR/Ta4/TCTpHbi4IgCIIgCIIgCIIwQJA78YIgCIIgCIIgCEKPsHrhcXqrd0LZ45GLeEEQBEEQBEEQBKFHyOP0fYc8Ti8IgiAIgiAIgiAIAwS5E78DjFwCht9xbe6+YWMBAIWliwAAyiZjrOEPAAD8o/eByrCldtA4AICVqqNp2KDrRCrou1NCmo3zMbbSmnkyrDtBstYbbIHPl0zXSh/10+8u2vwbLvE8bIQ382QNDpZygMFm34K3XPjJcGuWUSxq02rXvK/XRWXoO9INnviVabnWYr2uRoiXzbb6MJvo7YatvJzKZkN+lCy92uZr8Dor/tUuYJnIs2m3NX42xA+O+vkz4BrrNe+uawQAzJ46AgAQ4bodFKdtmC3YrsH+wFG0/pVhKm9QlNY9xNbgsqAFpWjd/KMmAgCc5W/QgkzaHua4ae3GKgiCsDuyNV1CTSwPx6T2DmVkX3c2rwIAGNxTibbWO2WD3VxSjA8FAPjS2zxl2jEyt7OAHhub8hhX6bWiF9iKzktFIkd5ojzkc3tX0TdvqkLUbmuTepDzmo97X4HpA3SvMSHKa4rN9VYl93wSoPXJ1tXDF6b2387S/E6GcpXOa0aITPMql4Yqck4xKQadh/3JzTRNNu1ZL1UswNTTlvKeeVSQbP4BXrFEznZ7TClw7wB+zjcRzu01EaqhbdxrCgC8spx6dZlz0HBaDy6jmqfdxD2u2AELe9XGPOWUBShXDSujGIO8PMfnh3/cATTfuvdoGJ8j+AePgSAIQneQx+n7DrmIFwRBEARBEARBEHqEPE7fd8jj9IIgCIIgCIIgCIIwQJA78YIgCIIgCIIgCEKPMNDzO8RyH75zyEW8IAiCIAiCIAiC0CPkcfq+Qy7id4DyBUlqx0I1FasC0Cxyc1jcpnEySRhjP0XTOCTt0dIdLULTlMqHIZDnUSBJjeJp8ux1iyY2AgBGVo6CY5DmIVtqJX1juY8W6VjJrW5ZKhh11wMAVIDkPVpS5LCMyAiEXPGcGeF4fawfckjep0q8uPIhMFhK58LlaUmd/gVOjZpCf2QTMEo5Lo8K0mU44XIAQGOOllOwHTRk6e9NKaqgqjDVixZlFFl8F/FbSBVo2s9OqQUA/Ps9kg9p4c++w+IAAJslQvGgD7Ggz50fAExubLQ0MFdS7qpZvA2cNImQzCjVjxMlGZS9eQUAwF87HoIgCLs76SK1mVoaVyonWZqf2+/SlrUAADNW4c6TL6P2VbfBpSjljhznIz+XleB23G8ZcDiv6ba3yNMMjZFMbq9qEt/5TMONRTtNdQusTwStFIn0lBas+iNQgTD/zQI9zkNW9TAqN0KiO2U78McoFxpBlvaZXm2SOWgU/ZFpBEwW1nLeRyHLE1HeUCP3pfHpep4u3SyRzTR4YsoalIdyNq1RquigkYV+FSGWo7Y6Vw1pea1l4rOTBgMAHnprPYBmCeveg2LemeK0XvGgD44W5nHBUZa76m1VHqTvvuRWV6ar/HSO4ERIPJtvonULxqsgCIIg7J7IRbwgCIIgCIIgCILQI8RO33fIRbwgCIIgCIIgCILQI+givqeP0wudQez0giAIgiAIgiAIgjBAkDvxgiAIgiAIgiAIQo+Qx+n7DrmI3wEJXwUcfxzxAD2w4Ksn4U96+TIAgGnRbhYaygK5fA4+LbaxSECjxXBgIY9RJFmb5QuiJhTnaVhaZ5Kcxt35WaRjpeqQCZPghv0/riTIDJJozcyxKC7QLPkxWR5ns8DOFQC1g5b1mWUkttECN1fil26i71ryA8CIkJROsdRHS4e0xE4FYjxPGioQ5Zlo5Rxedy0n8rGEp56ldkCz0C5TJCFPXYblfTxtedDvTquHlUVoWITlQPuMqgAAbErSvHnbQTmL7bRYSMsCy1gANCxCdetLrIez9gOqjwBLkrgO9fY17CIAoLBtvfu3f8hY7AnUJzMAgESetokW/w0uj/ZbTIKwI7KP/RrZTK6/w9itWd+UR7DeQUWIjuvRJh3nWmhn6LZO5xK7AL9NecvhHKVlrAFOVoEiCdIMg+YZWxFy5XQF2yutM1i8NihC7W8iZ7v5jJt8Vy5a7pBQVAtQjSLFamYa2sjYjBLFqPORltcFqqtghjm/lZOQ1CyroGnzvK/kkm79GOWca/X6szxWS1kVy2r18g2fH44V4HminpgKRVqPdYmCW76WserPJVtp2QGL5XicIyN+CxsSWa47KmdbhnLMpEG0nDWNFL/Of37TQA1LXRN5ijfso3GVIcpZleysNRu2uetQqhhJ1cAivkCA5klmmpdfEYtgTyCfovOitOJzBYvqNhSRvCbsnjT+4Ro0ZfP9HUanETt93yGP0wuCIAiCIAiCIAjCAEHuxAuCIAiCIAiCIAg9wuyFx+nlDnPnkIt4QRAEQRAEQRAEoUfI4/R9h/zYIQiCIAiCIAiCIAgDBLkTLwiCIAiCIAiCIPQIsdP3HXvcRfxtt92Gp556yjNs9OjR+P3vf9/lslIlB0bRQbmP7LT29s0AgPolqwAA0eGDAACOTZbZWKwCTsMWAM32W7Ah12naRt+rhgIgY7vhZwsw2AjLdndL293ZTg/DRF2WTLMBU5tmqdwcy9zD2orLZl4oB3acl2WTGdc12IfK+ZMsuxYbewHAHDKGZtfmXbb2Opkkx50DHKoPg+MFz6ONvFZ6O41nm68TrYITG4SWGPkUfZYoNm3D3ZrOI+KndfNzK7ApSVbOAlvkw2yRT+SLGBylOEdWkEn48L3IxF8WoLrTBmTdw0DRAWy2I4e4/MFRmiZcIsOypS3NxSwQYUt/XBv+2YgcrqDv2lKvHCi2GBcat9I6VQzGQMJZuQgAUKidBABIsVl5S5qMyIOjtK6pbUmMqynrhwgFYcdYg4bDSmf6O4xe59FHH8Xdd9/tGRYIBPDII490uawR8SC2ZQqo5rbR0O3W2o8BAP4REwAAqn4TAMAZPtntccR9dI/nCXBuyQcppwTYKl9yjGYrPbe3uneLnDucivq4Puu21zq/aUN7LEq9mJjcK4hroLf8MFOUU03dI0wwxp+UCw2e1wiE4BtC9nVtqXey1NbbCcpV0J8ArHLOv0P3ok+21Ou8ptdd51Ftq6eBtifOgEU5flMq765XyEf1oPNaVtvqOV9qxlZFMLiM8s2kobQuet4qzv/hGjLG6x5WbKe5xwDdXsc495UVGym2NOflcLmbs3UeS/AJhbbh6+1gGEC2kepsaMXAs7jbS1+GXUO9xmRDVQCAel5XM8znaFna7pFwqB8iFISOCQ4ehOAA6nVFLuL7jj3uIv5///sfGhsbcfXVV7vD4vF4P0YkCIIgCN1nxYoV+OCDD3Drrbe6wyxLTnMEQRAE4ZPKHncRDwC1tbU44YQT+jsMQRAEQegV4vG45DVBEARht0bEdn3HHnkR/+677+LUU09FeXk5jjjiCJxxxhkwTXH4CYIgCAOTjRs34rTTTkMgEMC0adNwwQUXIBgM9ndYgiAIguBioRcep1e9Esoezx53Zev3+3H00UfjxBNPxMSJE/Hd734XJ5xwApTqeI/I5/Noamry/BMEQRCE3QHDMPCZz3wGs2bNwsEHH4xbb70V06dPRzab7XAeyWuCIAiCsOeyx92J/+lPf+p5B37WrFn41Kc+hUcffRQnn3xyu/PccMMNmD9/fpvhPsOAzzRgFEmUZIRIIlOzP4l/CkkSvYSHDgEA2A11rkxHxWtpGH/665bTcBbPGcU8lJb1ZEk4l1YkuIvzu45OlAQshl2EVaCftbQcKJEnkU3QR8NDPNwJNa+7yXIdk8svVYygESzmgUXLM0bsDWxeSfPXkdRNjT2IxhXoJNGqJElbafNa+AYP5wVwnD4SwWhJneJytSynWDESvkLKs64Wy4hKXD+bWZ42eVAUTSz68bPkqFhOP8Bo0d26RoppdGUE5UHahbUML1NkMQ//aKMFPWGuH8tWyLE/yOLywwWOqXEjjeBtpFjg13KYUczzJ+0TykdioCJM+EzvtIk0xVkeDWN3o/DqgwAAVaR6t8qroUZMBgDkHKqXgk3rn2dpUtFp/iFseR2JDicMEsGd0P84y9/o7xB2KRdccAG+853vuN+/8pWvYOLEifjtb3+L7373u+3O01Feqwj5kM63eNyRxayBCft7pjNYwupr2uy20wmT2vRtWZpnVJzathwL7cKcj+oyjitf/Xg7tYOjyumpgQYWimlJW9FWKAvStNsy1DjHed5skdoeS0teffQZNBxXnGpHm8WsANy8Gth3BgCgtOp9V0qLfQ4BAJg+7xMMdt0GWk71UBgsJHVaTeP4Kf+rILV5iRLFH7dMmG1krhTT6kbKiZNqSAa3rimHqjDnRbtFfgGwcFU9AGDKCBLmmaaBoWGKYX1D1jOPlgPq/K8FtwDggMYNirAol3OVzvc6r5lOCYrXUcft53rWeTNVaD7PyPM2/mAz/Rg0uXb3cw2V3nkGAOCkGgGQ1BAAMHoK7BjJaW3ep/Q5An+FzedFRi6HcEjkdsLuQeHVB6FsG8q2dz7xboLZC4/Tmz2c/5PCHncnvrXEbsqUKRg9ejTeeuutDueZN28eEomE+2/dunW7OkxBEARB6BSt89rgwYMxffp0yWuCIAjCboW20/f0n7Bz9rg78a1RSqGxsRF+v7/DaYLBoLxbKAiCIAwYGhoaMHhwx91YSl4TBEEQhD2XPepOfLFYxN133+15//1nP/sZEokEvvzlL/djZIIgCILQPe6++24UCgX3+wMPPIBFixZ1+IqYIAiCIPQH2k7f03/Cztmj7sRbloVFixbhhz/8Ifbaay+sW7cOyWQSf/3rX3HggQf2d3iCIAiC0GU2b96McePGYdy4cWhoaMCaNWvwi1/8Qi7iBUEQhN2K3ngcXh6n7xx71EW8aZq4/fbbcf311+P9999HZWUlJk6ciFA3JSVlARPxgAmwCM0op0cXo/uz9G3JYgCAb9hYAICT2A44JJ9QQRLZmHkSgKkASXFcyVzlCFdypyIkR6trogVFy0lAk2OhWNSwXUlQPQuFtEAozHIgK10HAMhEBgEAIpk6NxaHRT8OtASHPiMBihExwAqy1I1FZ2ApnhbeKC4Ljg1VLHjqAyyw08szijn6bNwEAPA7NhyWyli8/lp6p8Ik8amyaf1CPgOxgJb3UXlDYlQfWoykhXdjKiKusE7PM7aCptmSprgzWmLDN7F8ptFcdzwv8ryBfa1euQjHgRjJBfWzHWaeZIaGXeJ1JeGQ3zBdYaDNAiSTnwgp1FPdZoO0nbsiunNW/JeWb/pg2F5xYGnwXgAAq4mkTXaMtn2wrMKdP5OlbeFwLP4SxesbPpEmYIkibBuOnwWF/AtogFvR2jJanv5l1DSAgCktrLB7UEhsgxki2Zhv6Dj4kql+jqj3+f73v49vfetbePfddxEOh7H33nsjFot1q6ztmRJGV8fcNiFfRtK64BhuC1YvBgDYcRLbGbkkDJvyQpEn0e2tbl/j3HRuzWkRXbPAbkua2i3djmhBmm7HR1eEsDFJ+UZL30IWlR9V1H41lKhdrzQpDqOUg8P5S8vZtOwtzDlFWXR6Y5atB7SkVHk/Dd3+saTVCIbc3A0fxQvOgRpf/WoAQEUZCW1LiMPifKnLyfGp1ZAo52duLoNVYVcWN6qc8sCEqgjXC9XXOP5eFfYjysLWcVU07YamvKcOdf1r52jEb7h5zeSsZfC6KpbWGdzO28FYs7CVt2+A87KjOG6z+anGbMkr4tuaoFy4hWWEU4aWo7Pk03xepJevHDi87A1JimVIlOLVssOxNc0S1fX1dIzb7npTOZW142ndeZvp85dSC/mh3hbxgMVlUCEB3ucMZ+AIxIQ9l9LGjwCQbNMMRRFIZfo5ImF3ZI+6iNdUV1fjqKOO6u8wBEEQBKFXKCsrw8yZM/s7DEEQBEHokN54HF4ep+8ce+RFvCAIgiAIgiAIgtB3mIbR4y7ipIu5zrFHie0EQRAEQRAEQRAEYU9G7sQLgiAIgiAIgiAIPcKwDBg99CYZcie+U8hFvCAIgiAIgiAIgtAjTMuA2cOLeHmcvnPIRfwOCBs2woYNJ0hWVNfOHasAAITGkAnVV012X1VWAYetq1bDegCAw6Zbo0BWcNeKm0/DYov7apA5NV0gK+qqRrL5ajv9lLgDFqdiFItztxUMjom+l8rIFB/Slly7CCvTAAAoDtkbQLNdNs1G2wjPrEwfVOUwLngdreO21TQuRrEZIQrAN2wswOvkRCo8y7ZZkRvONdG8bLE3c0nXYO+wOdiOU52lbW3Z51halKPrO8gCYW0zPmR4nOYtOWChb5v3QjJFNuUbtNwwlxEPmM2Wd4d2f5vN+YZqbTBWrkVfW25tbfRntBkZABSbibNcv1G9Tr4Qrw9NV2ggm7xRzLlWYL0cM9PoiUGbko1SEa3RNl9D25S5vpZtpX3QZwIh7r2gwBpfwyDjcm15rRsDQHZio0D2U3+Q6rekt6dP246JoM+EFvs3sjG1IhZpEx8A5FMJjj+PQMXgdqcRhJ7g+MNAiNuVihEohpr6OaLdm3jIgs80kGRLem2M2ym2lptDKa/l/dSu+A0TVhP1NFITzvO0ZEvXvXOYSTrOa9hob0LhtQ1kEC9jC/iy7VlPHKPLqZ2xTANVIWo/EnmKSfeMkTUppgBbyI0itTdmpgGlqjEAgG3cY4s2lYcibJX3c5s3en8Ymz6mvxuopxDFPaso7tXAH6DlqEDUzVFJi+z/LLlHjHtWMbK0fxncC4lPOW4eKEQoXybZzF/GycvNaQ7cXK7zm84LR4+jnlCa8s12dH0eayr6I1XwmtN1PZXrJNliWdu5p4DqEG3HkhbNWxRryVEI8gIyFq8Lfy+xzd/HOTdbctwcovNB6xi0rV7P47cM5HihujcDTV5xbwDcY47ftFDk8hNcd7peUpxP71m0FgBQGfKjPEQbRdv59bnBwcOGU4ycoKw891RhGG696F4Tmi3+RNDgc7NSHoVGWpeOclZp/RKatkjHgzX2oHanE4Tukq0YBQAIxAah6Asj1yR5TWiLXMQLgiAIgiAIgiAIPcMyYZg9VK4ZaufTCHIRLwiCIAiCIAiCIPQMwzRgWD17HF4/pSPsGLHTC4IgCIIgCIIgCMIAQe7EC4IgCIIgCIIgCD3CtAyYPbwTb8qd+E4hF/E7wCgVYJTygMFSsaxXLGGVk8TGbqgDAKhSAU6ykYdtBQD4x0yisgIkArJZAmfmk3ACJM4JsABtS5qEa0OiJOaJ+En+kjIjroQONkvX4BWWJVnu4ygaPixa7crYlEmbOQb6HmQpjGIZjFnMAgbNZwQpTkQrON4hNC2Le8xswpWuFctIjlYo6ZgYRTFpAaAdKoMTjHGlkYytxPFrR47fZiGfacEKsLCNRTM2lxfiOrA47kJGuYI1LdfRcqMRcarDENctO23gwIDB62I4Nq9/jteRhUhabGcFmldJy/BYUqfXI8/1rZRCketBcbwllhH5WALV5mAzTHfb6DrTIjtd38pofljGzCf5D58n/mywkgbzLmIYvN0BNLEISYuPtAhIBWk9tNjOCUahWOCo6ztbpM+qMMVQGaTPogKCBYpFC67yvN+D5X66Dk0tgyrlARHbCb2Iliqmi0A0RFKwoM+E00I2KbQl6jNhGc2yMd2O6LbIiQ0CAATydOxCOTDzJPoyt60E0JzHVICEaEUW2lksnlO+IMqD1Eb+d1sjAKCahXNVYRpen6V2Kuo3XRlakRtq/dmQoti0ZHNsBbV1Ibvk5pAKbpJ1LnT45M9SzXnJDHO7ynlI5zU7xHI9bvsMu4h8kMR2RW4rdVdJWmKmy3Dban8YCHjzsc5HIVXgAFii5rcAUBup2+tgq9yl213LbC4nz4K4sZXU3moRrK4nLVM1DKNNTkyXvO+W6lxoK4UiC+zynLt0jWn5LacCFB3HtUXrYU0Fr1SudZdQui5a/q2Xk+WYdK6pCFrI6+3Hw1Y1Um7S50GaVMFGU572nb2qaf/bkip4yvVbnE/5HCtbcuDjcDJcv/EgxRsDbyOOzUpucXNsieXAUN5zHCNVz/MUIAi9yaptdG6l99OKUBAhQ3mOp90dw+z5O/GGGjjr25/I4/SCIAiCIAiCIAiCMECQO/GCIAiCIAiCIAhCj+ivx+m3bNmCBx98ELZt4/LLL+/UPB9//DH+9a9/AQA+//nPY+LEiV1ebn8id+IFQRAEQRAEQRCEHmFYRq/86wrnnnsupk6dir/85S+48cYbOzXPfffdh/333x+vvfYaXn/9dey///64//77u7PK/YZcxAuCIAiCIAiCIAgDjpNOOgkrV67EnDlzOjV9MpnEJZdcgh/96Ee4//77cd999+Haa6/FJZdcglQqtYuj7T3kcfodYDWsg1WKubIue/sm7wRa4lUi8Z1VOQhmJM7j+PcRLT7xkcxH+cnCY5s+OBGS9Bg5EjhMHUoSlroMSVtyLFpJFR1ETRb+mCQHshUJfxJ5mmYbzzMkxsvxBQEW22kclrEFMvUcC0lhjEIGToAkPVaIBD9aqKaHu2WwCAggwQzQLK2pCbH4htdVi/UM5cAoZLgeKH4zyEIhU8dG9WIWc66QqILFSsUYSZT8TVT/BkvmhsdroVg+xw4Q+PnHu4wWC/m0cIjKbCrYiLH5x69lNXo7amEcx6rQLDPSYhvF9VGX1zIiqgPDaBYJ6V/GtGRHy/UCpSyVwTI4o1Rolg9qGVcpx8ujOtSSKSjHrTurcSMtp0CyKT/Xpd4emqKjXA+iFiMFtEDKouUFtTzEMN1tnuNpqyNUL7q+tFgvnGlwJVhuXbHgSplh/qTxetuliw4GQRB6Ti5Lx5EWaykFsCMN2ZKNZM7uaFYBQJWRQyxaAU4d8DWuBdDcLmnBp5ZeqkAEdpwkpmAJnv7Ux3/WpOM/zDmlIWfDz+3h4aMoz21lcWuSpWRa3BT1AwW2rWmBXSJP5a9hudmEKopNC9xCju1Oq4VqURbQKnD8WkbqD8GJVFDc3MYVApTntDLNzcVOCfWuJJYFaFGdu73CREPndsN0y1VuPbAElGPR4laf5cMgkCA3HyCBXii5meZl+W20gmKl9luL8ugzaHMuaSV53cYHQHnQgp8fQ9XiPC2/02JYfX8r6rfccRl2925IUpw6b+g6iAV8bprM8UiL611LU/V5QNTfLJPVw7REseTQuIZc0bMcA0BNhHJGNKAlrHyOk6N18/M5VdFxUORy9biyIM2bdEWupid+RwFJ3qd0XotyXjaytA9bCdoOhl1wt6fjimZZBMv52qkaSZ/hCpoXgtAzlm6hdqGR92m971omkCkaSA2gvEZ30nsotoOz84la8MUvfrFL0/+///f/0NTUhHPPPdcddv755+O6667D//t//w8nnnhil8rrL+QiXhAEQRAEQRAEQegRvflOfFOTt1ewYDCIYLDnPdAsXboU5eXlGDy4udek2tpaxONxLF26tMfl9xXyOL0gCIIgCIIgCIKw2zBy5EiUl5e7/2644YZeKTeVSqG8vLzN8IqKCnmcXhAEQRAEQRAEQfjkYBgGDLNnd+INfvVm3bp1iMebX+PtjbvwABCNRtvc5QeARCKBaDTazhy7J3IRLwiCIAiCIAiCIPQI0zJh9vCdeFPR/PF43HMR31vsvffeaGxsxLZt21BTUwMAqKurQyKRwN57793ry9tVyOP0giAIgiAIgiAIwh7JTTfdhFdeeQUA8NnPfhaxWAz33nuvO/6ee+5BWVkZjj322P4KscvInfgdoBq2QBWTsBu2AgCcDNm5rWoy9VojJgIASh8tohnKBwNbyfSr7fSqchjNy1Zzo0BmZSdSiQaW22oDbZSNtqPLyWhbz8ZZE81m+RIb67X1VRt6y9gQq2XjTQUHlUEy8DrwWmld47qh1fA2EIrwSjuecVaqjgazsdiOVMHghRhsF3bA5nz+TciID6V58vxeiV10ra5gu7DFNnaHP7V1OOwPwUpto/VOk0VfW+SbbcNhaLSVXttqLbbRK47J5liDPm2rdcBSWrcetBneNcRrlKMl8TDzZILX1nX9I2O6hRE+6+0MAH5+nEjxL4o2G/gDPLPhC7i9FeheDBTb6F27O69fMJ90bch2rIZXQNt6vZZmjTbS03rT3z7eL3WvBjXRKl5XBcX6Yb9J47Tl2M9WfTObcD+1tdfgnhlsjlfb+/O8ziXWD9tKYXuSLMDaChwKN29HQdgZ9rr3AABG5SgAQMiifS7iN1HP5t6QZaCHPp09nkB5NXyN6+HXPWHYVHe6zSlEqQ0KZRoAAOnIYMT4b93m2GUkA8qCGsiYQWWkuA1M5G3kOVdVs3W8LBByx7Umw+2/NpLr9qomQuXrNq6B5y2P1cDR8mKd9LjNd3OYHhqIAhy/bp8ChaRnnXMWm/nhh2XoHEvz615iTN7vdK8gus02Chm3dw7dtul2W+dncG8ggXwCZno7ACDEOcXQPZ/oPMf7r2kABZ5d9ypSsnU7Tt+D/FnpUNsdsAzEAtoWT+U5XCBXsWu2d5RCCNqETeO05X1LquDGAABb03lE/F4HexVvG7094wGdY2mmvK3c+Rtz3p5sdJ3q7Rv2m24PO62fwtUG/nyJykgXbYR8Fq+TzvNUXn2W8pE25ut6ShVs9/xKr79R5Lymc3sjnechGILK07FhVOlzAxrlhOkdWt0rjt5Y+WQjDD7fCdSMgCB0lg0NtP/p3h70cVYRos+6dAnx4MDq/6A7/by3KUN1bf77778fK1aswKuvvop0Oo3rr78eAHDxxRejuroaAPDjH/8YV199NWbOnIl4PI5bb70VF110EZYsWQIA+Pvf/44777xzl9z531XIRbwgCIIgCIIgCILQI/rjIr5YLCKXy2Hq1KmYOnUqcjnuIlU138z63ve+hyOOOML9fs4552Dq1Kl4+umnAQBvvfUW9ttvvx7F3dfIRbwgCIIgCIIgCIIw4DjrrLN2Os11113XZtiUKVMwZcqUXRFSnyAX8YIgCIIgCIIgCEKP6E2xnbBj5CJeEARBEARBEARB6Bm98Dg9uvg4/ScVuYjfAU4xB6dgwoiS5ED/LmSwoEfjH0ePYtiBGEye1kmSSMdiOZvNMjajSHIvmDVoSJOopTFHMha/SRKVsCtgoU/TaJbf6WFK0bwRnlZLZbQExmcacCySsPhyjbRsFrhoQVmJpWZ2uAJmiSRvroCOP80kS/1CJMlT/gjAAjTLsLzLdo08NFxLYIxCGmCBkJEjoZBh0zpn2RzXyHKcxryNEVoK6PPzZ8D7ycI+2/QjxfNpuU5t1LtLa7GNlvFZpoEkW4eigRgNcyiWFMuBonpbOSWY2ZxnXdI2lZdlyU4q3yxkKrJpSdeDnxuxqjCthxbq1Eb1+oWgWFgIFi45XKda/FNiG1HQLsEJ0b5l+2j/s1hMpeVEfj+VlWIjU8AyXEmS3i+07Ei/JZTiOg5aBgq8rLyt3Pl1PXhQjitj0rJBLXI0XKkUfa8uI+HThoY0AloGyMI971EkCO1Tz0LEMn+k3fF+p4DBITruG4uA0+5UQkuMXNJtpw1uR8wiiy1LzfJVgHOOzge6/S7QNglXjgQAWCxrC5aT1EspIJGneYbE/J5lV4V97jQAtdE6j4V83tynBWW63dLj047h5knDofbOTFOfv8kQiT+Vj9pLSwExvXCe1kpuAQDYYVrHYJTafAcmuLkGO97cZRq2VwjrtouGCZMFsEaR80WMxH9p3d5ymzcom3BFao7Z6vSLv5tchm0E3LZ8SJSC0tK3MIsElZbTcj1lS44rc9V1mLObpY9As3BV5w8AsPSyWWZa5LhNTiCU31gix59tRHdh73fLaBbZ+SydfzgPc7n63CGRd5DlnKfzjhbnJXk/Cvqayzd5HXSe1CJEvW7b2DKrZXa0XC1ZpWERFhgqw7sfGT4/HN6XjFZ5zWGhXTBO5065LB0rRjELJ1oNQegsC97bCAAYWkbn/Vruqff3SYNYwukzsCaRQzqV74cohd0duYgXBEEQBEEQBEEQeoRpGO4PbT0pQ9g5chEvCIIgCIIgCIIg9AjDMmH08J14w5F34juD1JIgCIIgCIIgCIIgDBDkTrwgCIIgCIIgCILQI0zLgNlDsZ3pyOP0nUEu4neAr2oIfLEowPIxu34zjWCBGVgYY7PQJBOrRYhlQBaLbhxXAEbyNC0/STsWNqfS7S63zCFpUIxFZY4vCCu1jUayaGV4GYlV9Gsj/vo1AIBC5Wga7tgwiiRdAcdg5lOe5Tg+Empkiw5iLDNSWRIXIU8xlBIkLPINoXJVpgEqSMIN00e6IC3MybEMJ8LrqliWo/wRVwKkAmFPDBGfFsXResUCJswmFv/EBnGgzQIhACgYVG6u6LhCOy24acjR9ziLfrQkSNdBJNMAOzoUAFwBkMnlamFPhuU+UWW7MrmiRXW1MVFwlw0A2zIFd/l+fnxIS3bK2Yyk5XpcPJpYVlQeDLnL9MEr6Elx+TEW8zjRajgwPNP49PZk4V/RT8uLumJEIFWkZZUcr1BIC4ZSBVpOwTJcoZAmZtK8sOHFsWFkm3jZQR7mlQTlOf4NDbQtLROo522j4xOEjvhoaxNiLM4KcxuhRWsWyzYrWLZpZNNu2xAtq4Ut+9dOcVhqCgAm5xSUqN3WEi87XAEA2JwqorZ6PIAWktQStXs6p+hto9utLelmCZNu44Zx06/zArve4HcKiASoDTNZgmdo8Rmo/a5TAR5O87Rsq0zOc7rtKfDyStzGVUd8MIp5jpdzS4LyqTnYpyuBPqwALIsEimEW2mmhm69A8xo25zI/qTmNQtbd/1xxHgtstSQ1wFI8M5d0zxdMnkbHrbgtLZq0rum8A14FN6/FWARn6Fh0XuP1y4cGu/VtcR1leZuUWMpaE2Z5nRV0t9eaxhyvK+fRLO0LGc4ffsuE36RxYT4u9TurOh9pMZfp1/XWLLTTR6TOO3penRNavv4a5Hn4dMKdtpzllbmSie2cd2MB7zSpAm2bLSn6PjhKE/hMw5W5alki2MnqbjsWPdqJ7TD4b8UiOy2gVbw9M1ktBeTlqiDCvAARtgodcfHD7wIARldHEA6wSJTPG2tY5DgkRu2PPm+M+E3kij5YBat1cbstRi/Y6Q25iO8UcrYjCIIgCIIgCIIgCAMEuRMvCIIgCIIgCIIg9AgR2/UdchEvCIIgCIIgCIIg9AjTQi+8E99LwezhyE8dgiAIgiAIgiAIgjBAkDvxgiAIgiAIgiAIQo8wTAOG2UOxXQ/n/6QgF/E7wJxwKMx4HKWNH9H3wWSPVWwDR4GtuGxrV0ohZ9I0/oqRAIAsW9MDrnGV7awAygJU/X7X7k7jGi0yoJY7ZJz1Jbc2G23ZSusayjnWXMUot1wAsJo2u4Z8u2wIxWfx1I1baN4o2fYjZUNg5FjVWlZD07J5Fw1kgnYNupYfNhvbs2yW1XG7j3Ww3Tdik33XCUShQPWSd6iu8lwvMba76tdnCrZCKF7rWaaVJkO+NsznLFp+yVGu8T3MRlyzlX0dbLY2tD09EHYttU15Ghby6XnYyswTRP1+OGylzbAFP85GUb0dt2XI4uu3DNee62fTccTvtYlq23GoxWNGPv2nDpct9doir+37pmEhyBP72cZsZRsoljCZocMG7RtBNugq04IWdVvcIDZpmz+vqzbeG4bZZh8F9zKgMbTZOdkIpS3M5bxf5hIAgEDNCFpHnmfVNurtwFIG9GrrngQEoTV6f4n5m/fdqEH7ock9IhgFalcMtnkbdsHt/SKU2oJCOtmXIQ9I/IPHIJeh49ntRSRIvY0YbJzPcztuGYZrRw/5qO0tGNRGaJO47v0i4BqVLYS4vcuyhr6+SO1hZYBzIrcZmUAFQsrb9oa56awrsF2cl1NBzTGspo2wW+cJLq+Sey1IcHY0S3k4kQrPuloZmlbxcsEW8oI/ihSvq8/y9uhhhaidDWQoH2lzOUI+2P7BAIAiZ8EA9/ai59V281LFsObebbieTZ42x1Z6nZ+UUm168nDbZsY15bfo9SVdpGlsXjfd3OreWHSbbyuFPG+bqjDnObbRf5BLeeKvDFuo5Gn0MH3eEuDkrfOb2xsLFHiRrilfx6B7dfFzry8Rv4mKEPcwwetc4hyjrd36fClTtN19S/cAo8tL5EtcLo3XtvqqsB/Zoj5PoU+9TawC97BQIOO8k2yAVUnb08xQjjUnHErlch1vTtCxE2hxoZFmO38ZBMHLj/9N1xD7Dqf203YUhsRo39f7cEWIe0DgY0bvWiHLwJCYHxHHj4GCaZowe/hOvGnLg+KdQWpJEARBEARBEARBEAYIcideEARBEARBEARB6BG90k98D+f/pCAX8YIgCIIgCIIgCEKP6JUu5no4/ycFqSVBEARBEARBEARBGCDskXfiHcfBwoULsWXLFuy3336YMGFCj8rzDdvb8724eQX9wV4bxSKxpryDDMtN2P2C8iAZerTsRX/6S1lMqqH51idZ3MTzxFieZtWTgE75tCYMAAuctMBNa3D8DoldjFKe5wnCjg2iYTxPqWoMzRshQQ9Y8pN3gGieZFAqQDIjh+VA5tgDaDjLgwy76Erp9LqU+SgGLfXR8h09j1lIu4IYVUnCvxAL3LQsLeyn5flNAyjxuhgsX2ORnq5U29bCIbQR/2jhX8Hm2gnSRnJYgmVlG91ptTTOViwj4sd3tLjHKOVhaYmcRdKnWIDGNeQ8i0VNJIAhUVqGj6VMWnrj589YgOWAHGOq4Lh/G1oW5IrouA55PewWPiNDS6B4++r9r/U6Kl8I5bxOKUVSFC0E2pKmfS4Ubpap5FhypEWFhkMCMZPrwMXnh1NHwkMzStvGzLUvExtbQ9u1rimDJG+UcTWi/hEILVfbmPEKHQOWgTI/H4csqtOyTaWFi/xplAqujA3+CMBCrD2RxYsXY9WqVRg/fjz233//HpUVipBkFPyZT5HsDf6QZ7qGXAnswXRlZtVhyh1aaBfU0k5Fbfd+g8JY20TbR99QCbOY02raBIByFKDbPt0O0rTa36bbTJ1rShyTEauBwdt/m03lhMvH0kieV0tlKwsJN4cUfdRWBobvS+VwrtHS1ETecSWglT4aVjBoXbUsNcDiUjNHokUz0whVPYbqochtJreHBgtpdflGIQtoSSwLch0WCmrJqRbPlYeaxah62YVWYjtdhsGSXSMcd+V0pqHlb6anDItj9DkllAK07NbSUS1lHarlWyGfK7/T20gfq1pop8tozqvNy9Tb0Z23lXnabxqu0EvPX3S0oI/rnRcQNSxMrKbzlLq0FstS+UVbCxf1uQiVWZ8tuuuk5cAoUhLXskPwdnVSjTBZ2OokG2kUvNSW0zGTzeXcmPUwQXhjTT0A4LW1LB/mfVnLGWMBCzUROnbrs0UexuOCbUWRltN8vA0EDNOEYfbwTnwP5/+ksMddxCcSCcyaNQtr167F5MmT8dprr+Gb3/wmbrzxxv4OTRAEQRC6TLFYxJw5c/DSSy9h2rRp+O9//4tZs2bhb3/7GyzL2nkBgiAIgtAHmFYv2OnlcfpOscddxH//+99HfX09PvjgA5SXl+OVV17BEUccgc9+9rM45phj+js8QRAEQegSv//97/HSSy/hnXfewahRo7B8+XIceOCBuOuuu/D1r3+9v8MTBEEQBKGP2aN+6lBK4e9//zvOO+88lJeXAwBmzpyJ6dOn429/+1s/RycIgiAIXedvf/sbTjnlFIwaNQoAMGHCBHzpS1+SvCYIgiDsXrDYrif/IHfiO8UedSd+/fr1aGxsxH777ecZPmXKFCxevLjD+fL5PPL5vPu9qalpV4UoCIIgCF3ivffew1lnneUZNmXKFPzzn//scB7Ja4IgCEJfY5i9YKeXd+I7xR51EZ9IkJinqqrKM7y6uhqNjY0dznfDDTdg/vz5nV6Ov3a857uuxFFR4KOtdKKkJRRa1qKFP9rYYzgl+G06wYr4qQQtadNClyBLd1QgCitVR3+zBMeym0/OgBZyFouFaMEyGCwk0wIeLZ4r+isAAGFentlSltNSwAPAYQme1biRVz6IsEMyl7BJ72IaeZo2bZKwLKQFccktzWWlSfDht1laV+T4fSxcq2DJjxVqjsHWGiPG0Ac1reu2rO3Wr3Z+FNhkUxlqlvbxitH//jgcHtZaZKcFdG51FJvtdQa/dppl+ZsW6ES4DiN+ExG/Vzyi5YNaRqRdPuw+RKpgu8I6LUBsKrBMiUdoUaLtrgcQYyEUwJ8seNKSKcsVJwXdeXI5xzNNlOWJdguxnhZB6WUjTIIrvWhfejuVC8CqHsoryRVjtN/gFuo3clGVMA15d1cg6ppIrqUlnrz7u6LHbMlB3GCJJ7djjo+ermot7HRMCwjTOCdSCccJ9MEa9B25XA6FQqHdvJZIJKCUcsWYLelqXgvGyj3fdS1+KhbB0i3evKbbzrihharcVvM2CSCLSpajaqGdjtHMUp52YjUAgEimDjYL4OIBbxuh2yfdbmnpZsjyI8S5rpDXbRuVr9tkLcNThs9tn3TOdUK0rlaC8xqPr4rFYbAYUeeolNKiKS3mI6knWF7nJLbDr/fFBs55YZKcabmcw/JRM59yxYtaUKpMjilC+3nRommVUm4u0ucEFVoQl+JzA4vynOK6LvMpmGGvTDfIgtgSi92sRj6XsAKIxmk+m+suwOuopVvD45QDKkJWi3MaikXnhTiLuHSsaZ2zlHKFdjqn6Hxd5IS2LVPgWIOIB7zl6PpO8PYNcyORKTruNKmCV/Q7tKw55wHNgj4t+6P1pnMOs8ASQt4fSwXK91b1UCj+2zDbz1ml9Uto2rIhVAcsCBQ+2WihnRYsD+PjJ8tS3+28v1dHYu4xtrqRjvsVDbQ/apmkYk9iwVZI5EpIJ73n/IIA7GGP0weDtPOnUinP8FQqhVAo1N4sAIB58+YhkUi4/9atW7dL4xQEQRCEzhAIBGAYRrt5LRgMtnsBD0heEwRBEPoebafv6T9h5+xRd+JHjRoFn8+HtWvXeoavWbMG48aN63C+YDDo/gAgCIIgCLsLpmlizJgxktcEQRCE3R56r71nT14a1p7bVWxvskf91BEMBnHMMcfgoYcecodt27YNzz//PI4//vh+jEwQBEEQusdxxx2HRx99FCV+bD2fz+Pxxx+XvCYIgiAIn1D2qDvxAHDjjTdi5syZOPPMMzFjxgzcddddmDRpEs4555z+Dk0QBEEQusw111yDRx55BF/84hfxpS99CQsWLIBt27jqqqv6OzRBEARBcHEN8z0sQ9g5e1wtfepTn8Lbb7+NoUOHYuHChTjttNPwn//8Rx4rFARBEAYkw4YNw9tvv43p06fj9ddfxxFHHIG33noLgwcP7u/QBEEQBMHFNM1e+SfsnD3uTjwATJw4ETfddFO/LHvvwXHP9zXbSUZUCJCJMuCwpd4wYWYbAQCD4rUAgK1pelSSxb+IhKgsZfmglep5PykrtQG22WJO74+MifOPFcpx7c0qEPHEpI3neZ63PGihVDWGwiqxKZfnMZQ2nhtuuWY+1RwXgFKYrMl+tpuHTLaxp8nUWVj+P5iVdLJp+agejAAZeJFP07Rs0DdzTVDadO4nGaHVuMGzHipM82aLjrveZWyuTebpu7bT63WtCFk8T7OJX5uPEzxPedDPw2m8mU/C4B4C/BGyJzeb5r0W37KgDxbbgG2eZmuarPF+3qBB/mWx5Q+Mqjkcqo6SNv8q/k7xW4bhbmubjf6+PNWZ7pkgwOZlg627KhR36yPJdlRdhi4XbHK2HYVEjqapYruxzT0hmFy+wwZwE2i20fOnzb0YqKUv0/Aw7bs+3p9Q7iBWMwLCJ5tsjqzPITZPb0jyMcLHju4hIeI3YRRpPza4jQAbvsG9Lmjjt5VPub12wLFd+/eeRm1tbZds873JPkO8eW1DA20Th3uwsPJe6Z6ZTaCqnHLVlry3F5AItyNuO+8LIG3TuHSRXxfgdrAxR9/HVNA2102nYRhulyRaaN+6jdNm9KSvws2pelyQm78Ix6BzpZVrcntHyQcpzgDPEzaofJUgO31xFRnKjYi3bgAAWc5roYRbHwCAUt7dV0trP6ZxETLEGxXDaFbV3COJPk5cuzuvs8PnBib3GOJEWNxrmLD5XCHLuS8UoLh9FuUqk636UA5sPvdwew6AzmuUY3QvBCaarfTbslxXpne76mk1LXtU0blWG/N13i626BlHTx7gBJnnAqrClH90rzepArCRTd16mzflqB0J+mhn0L1eaEv4tkwBg6K0PxZNWjc/74duLz4x7oKxVHR7zTEqyD5fXPgYTVNO5wH6vMDkOo2U10D45LK8jo6pkI/23dfXNQJocY6ZKXo+Jw2KucdAZZj2tQ1NlBt1LtTnibZD55B+6dxHaIc98iJeEARBEARBEARB6Dvkcfq+Qy7iBUEQBEEQBEEQhB4hF/F9h9SSIAiCIAiCIAiCIAwQ5E68IAiCIAiCIAiC0CMMw4TRQzGdYcg95s4gF/G7mNHVMc/3PMvrsr4oggESrZg2yS7KWMZS0rKXYvN8dozEKQ0Zml9LXvRnwKJ582yHCTlFOFy+Mmmc1UqilipogY5yxTaWSQIhq+B4pq1kiR2sgCuOKsVIVqfFcFU+is3IkyimtH0zAMBJNsI/aiLNz0IYxeIzLdLTEjwnVAYVJXkMTK/JQ8uBBvH3JbkKV8BTn6XK0pKdIAuBYixu8yVJRrRdVSLNQhEt0NEiET9LB7UAyNFxAPCzdqeCFodGlibFgjRtwVZuOXr75VjSxX4hZIq0PlocVzANV16ixUVaDpRmAV8lS30so7l+lX6AhgVIhk1xW01baLC/WTZlma2lhiwCDPh4XWm4rYBYUIv3vDKlMAvGHJbXwTBhFGgbg/c7xaJCu2YsDWbhkh3VIqA8BMEssrzHogOpPKhFVLTv6TbJbwJGhtuKILeTOTr+m4Ik0gxxkjeDMVdyV4SJgq9FwynsEoZXRj3f87xdHZa2KV/IPeZjfm8bZOS4QeT2KxcoQ1PGK0vT+4PFUk0tiArweKUUGgveNlO7V7dzLig6Pne8bpO1WM3P4rwIz6TloACQDZDwLMXJtIb3J6NI+6PTRLmq2NAAAAgNGeXOa5ZVULwJav9U3Xpaj2oSyDmRCrTGbqDcZK14k5Y/+kgAQDxouQJbLUDVAkEzQ8s2EpRjk9GhAIDGdAkRznlBlmyZmW20bJbhOSES6SkrADNPQq44yyLzfDxG/JzXnOY61mcEWlinBa5aHlsZomNaS1OVrzkX6u1Wz+cKQ8u8vQUNifrcfKNPf/Q8NZwvtZM2VHRcSWyW85mW0ep11oKxRJ72q7Kgzy1Xx1vOokJX2DpoNH2mtkFxe+JKgcccAAAwEhtpnmra5kYpB0EI8/6m3Y61Mdq/I2yj0+dbfrd987nnYsPL6Hztozo6tossS9b7KQA05GxkMgMnr8nj9H2H1JIgCIIgCIIgCIIgDBDkTrwgCIIgCIIgCILQI+ROfN8hF/GCIAiCIAiCIAhCjzAtE2YPL8J7Ov8nBaklQRAEQRAEQRAEQRggyJ34PiYYJalMfWMaeZZgVBZIUhPzsVAtRKIVsDPFzKcBFu9UspRGo+UyWuhiZUi6AysAxfIoLZ4rsf0lxcIMLcCJBUxXKJVhe0yWP8tZdubESCdnNayHYsmeRs9bxeXBJpmMFuDBtFxJnREI8TQk6VAs39NWIitVB8WSnVKUl1Mzjj5ZhOTweH8m5YqQNBuatDiLho+rZMlbGUn40FTEkCjVixbp6Pg35ij+oTqkYs6N02JxU1OIYtIyJS1KsgzlDqvLUHlarqPR44OWFscZrghFl6Nle1rSpEV9fhOweXv6UyRCai2L0+IiLQLLWBHUsUhRS/Z0eVqul+XhQct0ZVJJ3l+0WCXssGBF+/RMH+CnbaAFQGAZIFDwxqL3V+WgkCDBUqDcu/8InwyWbU1iKAt//CUSI5Y7tH+a20kEFq8YAQAwCmlXumXk0wCahVxRg47JgqJ9zvZHkcjRPuuzHI8QSOgbgix0q2siCWbACiKaqgMAxPzUdioWiGkM3r6BYAzlQWqntaBMscmtgkVrUZO2b1ax5MwBkiyey7FprZ7FT1omFeV8lLMdV3yayNH+NrqC2i2njMSbJotPnXB5G2GbE+Ycwvtqa8xACEaU2zuWupohr/ivVLcBAOAbPNKVfVqjJtFIzpOK21TT0LnAQNGhv7dnaJpNoFiGchtvsSBW55Zazm1Ac9ueiQ4BAIRsis3gXGZmGqByVA+ZQRO5HO+5Qd5uPr/YnqX1D/M4LRvUElnLKfJ3zvW2gj4l0OVpUV7IZuEsi1WLjnLzjxbQaXIcQ4K399Z0ERuStA46r6ULFNtBQ+Oe4XpfqAxbrpBPn//ocxvFuUvLDVUg6uZQfS7innvwuY+W4aHEQtfENslrn1BeXrkdI+K0D+nzt8mDaf8JtxItxlhwFwuaruRuO0s9h8fp2Hb4uNJt1vpEFrWxIDL59tuf3RHDNHpup291bi+0j1zEC4IgCIIgCIIgCD1C3onvO6SWBEEQBEEQBEEQBGGAIHfiBUEQBEEQBEEQhB4hd+L7DrmIFwRBEARBEARBEHqEYZg9fyfekIv4ziC1JAiCIAiCIAiCIAgDBLkT308MrWhpr422P1F4rPuns/wNAIDF1lTHH6FPtq6bTWTXNdNkp3diNTDYtmoZZM5kQTwi/NuNNto25GzXOJstkRlTm2eLrIpVPt5VDNM1tWqDepk22Fu0AMtPlk3fULLKO+kkjFCMJuZ5VYFNufxrnZ0gO7VZM8K10jewcTrMCtuARTEU2C47PB5EiePTRlsfP4KjLcS8GrDyKY45iC1psn5qW20lm9pZaIskm/mrcgnAphjs8lqqH1629mbqOgz7THectuxq47yOUVuUTYPWoyxgQot4/VwgVz/Kg3qdaUSm6MBUbPtnm7ETqaTyMtS7gWGzGd5XhdZoa2qY5cV622l7qqOAoEHxZXmZ+ZJXE6yXo3wh1+gL/rXUYUu9E4jxujd55nUCUZiFdJu4hD2ft9Y1AgDyto3aGO37Jh+Puj3Qn+6+XMzCKHp7XzB4mrSinbguRcdxQ7bkWqhHlPld66/Q9wyKR5q/RPdqf6Kot4cV4/3nUB4jY7sKUDtS4l4KLO6Jw8wmAACR8qEAACdYhpLD7SxLm60o5zne/E0FaidDlgk/5xk/t4M6Lzjc44epk6NjwzTob925iO7FJMg9qfhH7kPfi9TempVD3HVRWW8bZzdQ/L7aUbRe5cPgsJ1e6d4X2Bavj4EhEVq+A8Ndtra4G612bYOPIxbEI11y3JwdD2iTv7cdV9vW0ycAo3o4lcPjLLPZjA8AEYtN/bZCTKvmwaZ25c1vOv5YgOrUbrFc/VdN2HvKqXO8ZRgIKNqQTbY39+k8qtc9HvS5Bv9KTmhDy8gir9sB/enwkiN+081nuj7MbCOVW6RzEd0DkPIHm89TArQ/a0u97lEBpYJnvG6bhE8Ob66lXFV0HMT4WIublJNCPtovo3xgKkXnxLonBxPNPUrpnqA0q+uph4/6FO1j+ZKDEeVh99x2IGBYFky+HuhJGcLO6fRFfC6X61LBoVCoy8EIgiAIQl9RKBTgOJ0/AQ8GgzBaX0kJgiAIggBA3onvSzp9ER8Oh7tUsO7nVRAEQRB2RyZPnowVK1Z0evply5ZhwoQJuzAiQRAEQRCEndOlx+lffvnlTk13xBFHdCsYQRAEQehLHnjgAQwfPnyn082dO7cPohEEQRCEgYvcie87On0RP3r0aMycObPT0wqCIAjC7syIESNw6KGHdipnTZgwAX6/vw+iEgRBEISBiWH2gp2+h/N/Uuj0Rfzq1as7XWhXphU6hznhUM93rXwoNGwGABgsDXPC5TTCLsIokccgFiY/QV2GxDFaRJNlk5vtAOzlcIV2WiajJVGGw/PWNMv2EnmS0mjhjcHzasmZzdK9wIQD3HlUlsQwioVxRphkQVb1MJrAKbnlao9OioVxAcfwLHdYzO/Kc7Sgbek2+p63ve+5Fvy0nEy6gCTPr6cJ+LzrWpne0BxvoP3XSLRYx+LPbMlBqqDFdTxvK0kde3rcOg44BVdSpwVxAa5nF/4as/zaJ+QaChVLmRQLeZoFdyRXqS+aCFpaPkSzRvzehlHLg6KWgsnSnooQ7UMNWmCoZX42ywJ9zfFqlBZD8TrboTitsxYK2kUYBRK2FLeuBgD4B4+BsOeSSJMwKs/HeqbouAJHo0TSOr0Pa7Q4yolUujIzJ82SRG7b6lmGpUWSQLMwyFbNksvO8OKLL+6SaYXOY+13TJthTuu8xu2JFooh4LgCUd3u6nZVy+CaF0DyKaC5/dP7i85ZuViznC7F+1fI523j8ry7mXHKa769DgQAqFIRyDbx3yy7i1K8vsH8hAe383asxl2mbiNNzpdFFp4Gk1sobKUwJEaS1y0so3Vlo3zm5vD4DA9PFRy3HnT0Wlbn3/whzcNttVlWAYcFXPqcoLXtIWM351yrlTBS17/Oc4pPunWbbxomFK+blscFOG/YPjonMVid1LLoPCcri6cNKTqP8Zskl1vZkG2zbSpDtB5aZKfzWmXQx7FaALtYUyw8VEXOmyzZ1edOplNyBa1ujtX5juWGuv3SQjujkEGBhYGBmhEQ9lwK9Rv5L5b5KiCqz4FZbBkIkXTY4SOqnOXPW/gcvCbsc89dtbRy0dpGAM1CyPo07WP7DI3vojUR9gTETi8IgiAIgiAIgiD0CHmcvu/o9kX8Bx98gDfeeAP19fVtxl155ZU9CkoQBEEQ+pq1a9fixRdfRF1dXRs56/nnn4+Kior+CUwQBEEQBgCGafT8Il66iu0U3bqIv+OOO3DppZdixIgRqKysbDNeLuIFQRCEgcTTTz+Nk046CZWVlRgyZEib8XPmzJGLeEEQBEEQdgu6dRF/ww034M9//jPOPPPM3o5HEARBEPqcm2++GVdffTV+9KMf9XcogiAIgjAgEbFd39Gti/jGxkaccsopvR2L0A0ClbUAAHvDEhpQSYI4J1gGsPBMPxWqJWwFV3xD31NFG3GW1GgRmsbgeVIWiV5idgYllr6E2LSWt90FAAD8LGcrxkgAZOYSQIlka0a4jKYtkrTDjlP8DkvwzORWlHEsSRYWaemOFsRVgUQ0Vt0q2GWDAAA5H0lp/ByDo5qFc0CzhMdnGljdSPMfOoLmadIivQDNU6wcSbGU8rCtINcVx8CrmmORkJbsmQawPUPrWBsjg46Pjy4tUwppgR60DCftbiMtfdMCJycQoWm3r6JCTB+Uj2IBy3R8DWtp3jzJVLRsTpcV9ofd7anlgDqGSCsZoWEX3XK1tCcW4HVPkDAPyW1cF83YcbpjaRZJPqRjVLxvOS1FQK0kfvk0ScyC0TIIew65LAvt+NgbFKHjYXu2iKLbVLAEK0X7lCu4Y0GYUzUGMEggZFTQPmazeKrKT+2Algmli44rpYz6Tdj+7iX/xsZGnHzyyd2aV+hd2uS1CvqugtTeG3YRtkH7lZaYpYve1x+2pEgyN74qjFiA2lmdA3VObGBbXSWLp5JF5eY8LZjS+7FeTspfAQCI+6jdNRwHiNITiSZL45wKysMqRG2bmaqjz2LOlboVOW+Gub0NN66k5a4lAZ01aHizqJatbPoJVRXkNpPbfi2d25ouYt9BJNxqYEGfnqdURT0wmBESRpYilQAL/8Kg3KXNdg1a+sZLT+RtDIvRMVo0mo81oFmCa2YbqQgWxSEYhZGl3KH0OnM+DeTpOI9abJsztKoXqAmxdJDFvJpwi9xVxtuzPktxlwW9bUKAY9LqS8NoPo8IshTPamIRLEv3DJbYGoUsVHwox8DnKUHOhVwhxQDF7S/xuvoCbpzbk5R/q8siEPYcilvoXEyfq1aUtMjYaBZC8/EULLDAmcWOkSIdp0rRPmGARK8AiaUBYPoYakN0e7M1RfteZdiPmogfaXvg9IximBYM09r5hDspQ9g53TrbmTZtGhYtWtTbsQiCIAhCvyB5TRAEQRAGLqVSCaVSaecTAkgkEmhsbPT8y+fzuzjC3qXTd+KffPJJ9+9jjz0Wc+fOxVVXXYUJEya4v1xrTjjhhN6LUBAEQRB2AS+88ALSabpLMn36dFx55ZXYsGED9t9/f1iW907A0UcfjUhE7q4JgiAIQoeYltsVco/K6AKbNm3C+eefj2effRYA8LnPfQ533XUXhg4d2uE8o0ePRrFYhN/f/JTDtddeO6C8bp2+iJ89e3abYfPmzWt32lwu1+5wQRAEQdhd+MY3voEVK1Z4hv30pz9td9oPPvgA48aN64uwBEEQBGFgYprN7570pIwuMHv2bPh8PmzatAkAcNJJJ+ErX/kKXnnllR3Od++997Z7fTtQ6PRFvFyYC4IgCHsSS5Ys6e8QBEEQBEHoJm+++SZee+01/Pe//0VNTQ0A4KabbsJhhx2GRYsWYdq0aTucP5fLIRQK9UWovU63firRldTVcYIgCIKwOzJ9+nSsWrWqy+MEQRAEQSAMy+qVf51l4cKFCIVCnov1Qw89FMFgEAsXLtzhvGeccQbi8TiGDBmC73znO+7rdQOFbtnpt2/f3u7wYrGIpqamHgUkdA9rv2MAAKV36X0QjNofdpAs8rmi1/JeGaKDI8vDI36/ay13ig5aoqfVpttIKIoilxMy6TNjG57ysw69XxLVx2CpCION9Xa0GkCztbcQoM8A2zuNUg6moW3D2v5JxSTZBB9Lb+Jp8wDbbZN5vS5ssA9TDGE20XJoqApbqInocVRwY45GanNxfZaWE/L5EeFl62rRJt4yn7be+926XMeGUm0D1gZ4LcvW5ZtpsuKahTQUx28WUjQRG9x1fbnG+HzatfXaYbKYKjZ8I0d152S5DiM0PhgyEAUZmuGn5cQcMucabNBVbMFXpg+lcBXFoiiGYIaOc4f3I5PXzwnFYSW30LAsmY6dCMfC62jweth+Kt9nF9x3nBQb+QsG957ANvNQmEyuwsBE23tVOb2Dpo3ZmsFRP/x6kLZ4J8hOj0HUI4QRpN4MzGIWNluAYRc95UQVHQcxg46NirIYTLZIm0118CeT3Yq/vr4etm23O27Lli1t3pEXdj2t85q2hufMINLce0nB1nmN2pMUDx9dQXdWwj4Tee5NRFukYwHaljk2QSd5X00VbHdcgXeFLM/bwPmnipej22Nl+eBwm4uK4RQv9+DiYwu7YTeLllrnNT2tsZmPnyK32cGoa7cOw2veNwp8nmXTtOE85ZSyYAyWTcdCgHt80D2UlKJ0g8Xnp3oxMw1wOA+7hnbuZaSac4u24282DPd41j29aBWSe+xl2PZeopgcw6AeWNBsp/fH+BjivKaN9sr0IR+hcwOdY62crjvu2SY+AgBQHvSjJuI9da0K03fdy47O97rnnO2ZkpuPdfuh86jJOdjt/SVdD4PzmmJjva5T3a2BbbJln+ufpqW2K1egaRpTlGMrYuLRGMg4H79Kf5QP8wzX+39NxOf2OAR9bHFvFHYF7bP6PE+fjyYLTvPxw59jKthkz+ewDdzzQtBnYmgsgKTPmwd3a3rxnfjW15TBYBBB7i1Cs3XrVlRXV3v8bIZhoKamBlu3bu1wEeeddx6+9a1vYeTIkXj99ddx2mmnYfPmzfj73//es9j7kC5dxD/88MPt/g0AjuPgjTfewIQJE3onMkEQBEHYxTzzzDNIpVJIp9N45plnUFtb645TSmHFihWor6/foSBHEARBEITeZeTIkZ7vP/zhD/GjH/2ozXSO47QZViqV2ojXW/LLX/7S/fvwww/HDTfcgNNPPx2//e1vUVVV1f2g+5AuXcSff/757f4NAH6/H2PGjMFvf/vb3olMEARBEHYx11xzDVauXIlkMolrrrkGZguhjmVZGDZsGO644w6PwVYQBEEQhHYwzV64E095eN26dYjH4+7g1nfhAWD48OHYvn07bNt2n5izbRv19fUYNmxYm+k7Yp999gEArFq1as+8iG9sbAQATJgwAcuXL98V8QiCIAhCn/H2228DAI455hj86U9/wqhRo/o5IkEQBEEYmBimCaOHdno9fzwe91zEt8fMmTNRKBTw8ssv49Of/jQA4MUXX0SxWMTMmTPd6RKJBEKhULs/BADAokWLYBgGRowY0aPY+5Ju1fLcuXN7Ow5BEARB6DdOOOEExGKx/g5DEARBEIROsu++++JLX/oSvvGNb+Dtt9/G22+/jW9+85v48pe/jMmTJ7vTDR8+HL/4xS8AAPfffz+uuuoqvPXWW1i/fj3uu+8+zJs3D1/72tcwZMiQ/lqVLtMtsd3NN9+MH/7wh/J44W6I74DPAQDsNe+6Mo1UiT611EcL7cIseik6CpYrj6NxQS2643n8LX7uCfLfWtAWZTmOlrLBDLnlAoA/1qLHAhba2CH6ZS2QqQcAGAUS6zjRalf4sS1DIo+RcfrVLMmmITs2iBaTTcDIp3RUAIAQi0NaS3hcoZbPxJTBJKBJ5L3v0GjRXd52+LNZQlTFgj+zQLIaM+eVbcQCEYyvjHiWrausqaDL4OEs+4Fy3PrQ20o/gqQFQ9CCoVAZFEu/9LQ6eitG9WRqWRgLjaKmDceibVFiKZMr79GwmMdAs+QpwnUIH8fE4iJYug5SrqhI48arhUUsOXJlME6pWZ7E6xTg/UaL7razbK+6TERAAxEtq0zkvXI4Vybms2BmWX7F+4Iq0H5jloqe4WaqDg4f50aORHV6n3NYxmjxsV9yFIJaflXMuGV0lbvvvhuzZs0aMI/RfZLQec1YvRgAEKoeg4xB7VzA8uaqCt1Wc5vvMw1kiizr5LZNy96KjuEpozxouTLQXCDoGVeXITmdFriWqsbQAlRzHskZ1GaGWHpncL4oVY2mCUwLmxK0rw4v83vKHT58L4o3xTnRKSHTSsin5ahaHgfT5/k+NmagyaZheW7Py3Rec2jdCxYfP+VRBHMsWc2zFJWPteY8RMfSiLKRbl4rcH7Usteon+rJxzJWpfOGUlDBMs8wo5Wk0i6jk+WiAnIlfa5BnwaP022GzfVeFbbcvFx0vHJD/anleD5XWOggyGe7WhZocO5zv/O6OpEKtIHPbXReC2npJmMUsu5+UBWp0qsPAFi5jep0XE1Z23KF3R4nWuX51OdkIYs2cMRvwpfYQKO07LKe5MutHygfymLnpBVDlOffolgUyXJGLb/Tx7rPAsoCJpS/Z3e2+xSjF8R2Rtfm/9vf/obvfe97OPHEEwHQj/I///nPPdNUVFS4Xcl95StfQX19PS699FKsW7cOY8aMwU9+8hN8/etf71ncfUy3LuKnTp2K//znPzjmmGN6Ox5BEARB6HN0Xps0aVJ/hyIIgiAIA5NetNN3lrKyMtx222247bbbOpxm/fr17t8+nw+XXnopLr300m6HuDvQrYv4448/HnPnzsVll12GyZMnIxAIeMafcMIJvRKcIAiCIPQFs2bNwkUXXYRVq1Zh6tSpCLfq8vDoo49GJCJPiQiCIAiC0P906yL+xz/+MQDg+uuvb3d8LpfrfkSCIAiC0Mdcf/31yOfzuOWWW9od/8EHH2DcuHF9G5QgCIIgDCB6U2wn7JhuXcTLRbogCIKwJ7FkyZL+DkEQBEEQBjb98Dj9J5VuXcQLuz/W6ANcqUbrDpO2Jkhio+U+MdNGk80iG5YBufIe/iwLcmlKQemJLNp9fNtW0SgfiXoiLKTSErVMZJArpdEyPZMFN1oUo/z8mKrR/OublhG1FBQBzWI3ZfpcYU65xbI0XictqdM44OHFJhR8ZKBeX0fSoaowxa2FSH6bRG4b8hYWbyZ51ufGkJTG1CI9Ft0YLLNxrADK/DR/quAV5tWlSfhTruuQ19FMbYMdr/XUlcPCP/1db0MnGHMbNS2Cs1J1NFLHkCbZnjOqEgCQVRYKLBnTUiJXwqSlPiweKho+5DnughYIcZxaAOQEqN6s9HbYLGhxxwVjnnWz40PpK0v8zHwaBouPNK6ALEDCvgDvT/XJDKpEbjfw4H2r0s/SKYO2pyvS9BkomLRvBllkqfuCVdtZDFTJVljDRNZH+4VVRp8+Vjla2UbPYg00C8RUIAoV8B5/wp6DNeZT9AlgaKtxmzmvBbiti7A4qqmoEOK8o2Vj7D9DZch7oqgMuEKlSHIjDeR2d3ALCRsAbMlp2ZzPFb/GAiwvTTe2G79t+pHSYlN4xcA6B5oBlj5afkQ4jwUUffqdQqt5wrw8kuE5oTjqOS5dD2aGYolye5sqGw4AWFKXxUFRbz7Q+UyxbEuXH/abrihP193mNOXwUXHKwQGd1zgWu2I4FEsoHS4nz+UGDSqrqUWu1OVG/XqbsOCO24qEQ7kqWXDQkKVlxwKcC/UpiRbZcZuTZ1leU96Gw+XF9OufyttOaDmrEy53hzWfl7A8kfMetEhTCwGVAyNHdWiz2E6LfYN8brKKBXdjRXA3oNDSSCu5FQBJhgHAZ9FnxGfAZtGhleA2g4WLRgN9V5Us+OVjJFVwoJXMmpjfK+TU0saqsB8FR7n7kyC0pNsX8aVSCY899hg+/PBDKKUwefJknHjiifD5+vd3gYsuugh33nmnZ9i+++6L999/v58iEgRBEAYCSik888wzePfdd5HJZLDXXnvh5JNPRjQa7de4br75Zlx11VWeYcFgUJ6KEwRBEHYvTLMX7sTL4/SdoVtX3CtWrMBxxx2HtWvXYvz48TAMA8uXL8eoUaPw1FNPYfz48b0dZ5c45ZRT8PDDD/drDIIgCMLAoaGhAccffzzefPNNjB8/HuFwGMuXL8f3vvc9LFiwADNmzOjX+A444AAsXry4X2MQBEEQhB1hWBYMq2cX8T2d/5NCt37quOyyyzBp0iSsW7cO77//Pt577z2sW7cOkyZNwmWXXdbbMQqCIAjCLmX+/PmwbRvLly/H0qVL8c4772Dz5s046aST8LWvfa2/wxMEQRAEQXDp1kX8Cy+8gNtuuw01NTXusJqaGtx222144YUXei247vLMM88gEolg6NChOPXUU7F69er+DkkQBEHYjXnhhRfwi1/8AqNHj3aHRaNR3HrrrdiwYQM2bdrUj9EBS5cuRTweR01NDWbNmiV35QVBEITdD9PsnX/CTulWLVmWhWKx2GZ4oVDo93fiJ0yYgPvvvx+bN2/G888/j0QigSOOOAKJRKLDefL5PJqamjz/BEEQhE8OHeU127Zh23a/5rZBgwbhj3/8I1avXo233noLtbW1mDlzJlauXNnhPJLXBEEQhD5H2+l7+k/YKd06K5k1axbOPfdc3HXXXRg7diwAYOXKlTjvvPPw+c9/vlcDPOecc3DvvffucJply5ZhwoQJAIArr7zSHR6Px/GPf/wDQ4cOxT/+8Q9ceOGF7c5/ww03YP78+b0X9G7O4HKSNKUybIhWDiw28hZsMmIGLO/vO9rqmykpxAyydRaCZHEN+bYDaDbbgi3ktkWmdbvkuMbN9U10kjwiTmZeg42/2saegw+KLbifGkJxZtkw22x3t/nTBNhUr8312mjr2tgZk4ebmQbE47QsbaUfGqNPbf61klsAAOHICEyqoRjWpymm0Wyld2I1bnn0h4VwluphfZHWW5vyHa48pSuR60c5Dsws/bik7aawKBaTTcLadmoGoyiVk1XYsSh+bdPVlvfShhW03Fo6Ju2K8Siw8reGRchmqqG57gAo3maZkuMafjVK2+k5Xm1lVQ3rgTI25StqQmy2+PqbNnnm0dZjWAHXbq+twMoXAtBsMS9yrLYCtifJNl4tlvqBA2/ztEP7xoYUbXs/H4vZkkKYM06ADdBWzQiaddt6+uR9zChk3ePJ5mPNx6Zfo8QW6RCV4fcX3F4qzEyDe1x0lVmzZuHyyy/H3//+d+y///4AgK1bt+Kyyy7DPvvsg0GDBnWr3Pa4/vrrcd111+1wmqeffhqzZs0CAJx99tnu8KqqKtx111146aWXcMcdd+Cmm25qd/5PWl6r5byW1HmN2/yAZSBdoHY75KM2Tfe6YnCvJUm2pJcHLdTnuc3UBet2m9utlFcQD1spbExQXhtZTvthLDbEM01jjpYfVA4m15CpPcftXVmA22KThqscNdYqEHGXWbDZTs/rpPd3bc5GjsznVqoOoSDliUEROtgMzrkm27VD5WTKHlcRRD0olwxK87HG9nWzQO5s5ac22t+wDlsD3OMI5wm7lS3bKNFyFH8ahTSccAUAwOHziyC4txSOpZzbgZQRQo6N8qbinl9K1EuM1bQZADB0JMW9KZVxe64ZVkbxx/ncoLXAu4l7Zwn4DJT4tEHnxDD38lJim3wgR7lYBSJufsyZVH64SPWrbfTuBYbujSVS6fbUkuH10LHo75rFGxrxqeEVEAYWNve6tKXI+43b64qJEO8HumcDq4qOFVXPT2+5PTfQcTakYgQa+NCtNrg3Ct4f0+Ael1rs0/GACdsvd6aFtnRrr7j11luRy+Uwbtw4DB48GIMHD8b48eNRKBRw66239mqAf/7zn6GU2uE/fQHfHhUVFRgxYgSWLVvW4TTz5s1DIpFw/61bt65X10EQBEHYvfn+97+PCRMm4IADDkBVVRWGDh2K2tpavPvuu/jrX//aq8u69tprd5rX9AV8e/h8Puyzzz6S1wRBEITdCsO0euWfsHO6dSe+trYWr776Kl555RUsWbIEhmFg8uTJmDlzZm/H12MaGxuxfv16DBs2rMNpgsEggsFgH0YlCIIg7E5Eo1E8+uijeOedd7B48WJks1nstddeOProo2HtZqbcUqmEpUuX4rjjjutwGslrgiAIQp9j9MI77YY8edAZevSS38yZM3erC/d8Po+5c+di3rx52HfffbF27VpcfvnlKCsrw+mnn97f4QmCIAi7OQceeCAOPPDA/g7Dw1e/+lVceOGFmDp1KhoaGvDDH/4QmzdvxkUXXdTfoQmCIAiC0A90+yL+gw8+wBtvvIH6+vo241q+l96XBINBnH/++bjyyivxzjvvoLKyEkcccQQWLlyIwYMH90tMgiAIwsBg7dq1ePHFF1FXV9fssGDOP/98VFRU9Etcl19+OebPn4/XXnsN4XAY06ZNw+uvv44pU6b0SzyCIAiC0B698Ti8PE7fObp1EX/HHXfg0ksvxYgRI1BZWdlmfH9dxAPA8ccfj+OPP77flj+QMNlQkzMC2JQkGY2tHSx8/DSwkCfqpxPauL9ZjmaW1QIAHJbh2Cyx0cKbJEtlDAOweFlaKqOnMVnkZpv0GTCaYwhkSAKStWgfK/NpwRALP6JVcFiIl802L6sl9TxcS34AEu4AQFmQRGtBlh1ZCXpn1GbZXrbgQPv9cizXy8VpnYMFEt1owZBt+hHgctc2sZyOg0kVSPi1fwWV4bAgxWrYCJUmY7QZJCmTYjmYjtFJsDQwWoTB9Rxg8R6yNK/N0yg2a7tCuhb1oKWDWjRkFDM8gqb1mYYrH9SSQDNF5WshnZYPIlrRXK6O1/UKspyIhX0qx4Kk+CA4XHdasKR42+db7RMOgDKRuAw4Er4KAMD2TMkzvMjbtalgI0GuKgyKkLAwHiWplMn7snKlh35X7ohsIw/zPhru8PHr3/JR8zjTbJYqdpGnn34aJ510EiorKzFkyJA24+fMmdNvF/GHHHIInnrqqX5Z9kAlWaJGqS5TcuWiOrfUt8oXWi5nFTMwDNqXtLw0paidyrHwLqFlaS1MoElu4y2eV8tYM678ittUA4hmtwEAmiza9yt9HBSLrewyyg/KH0GRtUXNnlnKfRk/yVOjJSoLLLgz7AKCvCwfy+mMzeRNsIeMp/VwaHzQZ7jxlarHUOkskdM5RMu2jFwS20oUl67LTSk6mCdHadkOH8tGA5VhNNXBDFBeM7SIz6Z60uI8nS8C8WGImSwbLFBucnNIgUSVXKUwDQP+VuJdLbAL+7WwlYb7eRv5TQNB/jtocC4MkkQzy3Xg03nOCrjyTNePq/Mc501X4hcgGWHBF2YdWXMe0+c6mjTL+CpD/duDk9A1SjXjAAD1Rb1veduSVMFBIx9TFSE6V43w8Wj6t/E8XpmvmU+ikvc/pajN0MdcvkDlD/dR/tP7qb/Vue1ujWn23C4vXcx1im61JjfccAP+/Oc/48wzz+zteARBEAShz7n55ptx9dVX40c/+lF/hyIIgiAIgrBDunUR39jYiFNOOaW3YxEEQRCEfqGxsREnn3xyf4chCIIgCAMXsxfEdnInvlN0q5amTZuGRYsW9XYsgiAIgtAvSF4TBEEQhJ5hWFav/BN2TrfuxB977LGYO3currrqKkyYMAFGqxeRTzjhhF4JThAEQRD6gs985jO45JJLsGHDBuy///5tupU7+uijEeF3+QVBEARBEPqTbl3Ez58/HwAwb968dsfncrnuRyT0Gf4kCWisSKUruNEimMYciVsQIqlPVZge2igCMAN0IqsFN8pPchddhpbAaQFIwVGuBCQW8D78UTRJB6PlMlG/Cb8iiYxicVXcldiwNC1DYj07Wo1UgYZlS/QZ4vjL8tRrghMg2Y6WazkVo9xlx8CimfQGWp7F8h2W2BQdX7Nkz/L+UOWwsMdKk1TOV0i5gj8zybGwMG98FYlJchYdbuFi0i3HbiDJmy9KoiKUk/zNaKqj5TgUo+nzwyiSSMhIkNjO8NG2KW1aRWXU0rqZBRKiWKaBNNdLVZjWzdR9bxpRz/oELANaw8NepGaxEG/vltIjxeuirDJeJgl/FAv6kKL47e28j4XjrrxQseBO17Nl0PAsi4CyJYUAG4VCEHZ3lm2l/XljkvbPkeUk6tEyS5vbgZqwDxtTRc+8Toj2ezNMnwYLgeDYsEPlAJrbFz3OFTdqWZAVcPdRxx+GXeqeOOonP/kJMpkMfvrTn7Y7/oMPPsC4ceO6VbbQdwRZiBrkNmqriiAWoL8TOWpz4kH6gSbGIjSzxY0IPUwZnA84n+n9OMrj05yzTAOojXmlixotzNNta8RvwrYoT5QrGudwbvHpvMbi00xJIcGSyFiA4o1kOF/Eh9G8ERJpOaOau0QMc770bVnNK1RB03B7m7O1eM1x1wWcZ3ReM/N0TOv85kSr4OSUp64OqqX8XODYAly+GaRWu7R1A3wRWrYdp96BzDTlZd32qzDF7zMNmAmWgPmpLnWed6pGAIB7XhDxW1i2nfLN4ChtIy3zA28T7ZRz2yAHMLVckIWZel2jpu1ZLkzLbXO0TExpQV8TS1m30zmDMZhybtFWcCyaJ8a5q6lA5WojX5GDai3fFXZPVm2jY2B9E+Wd0RXeY1yfE8aDZou8RseCFkJCCx35nEx/Omh+DNoo8vUSty8V5UNpeILkxoYVgO0LwcEA2nFMqxfEdnInvjN062xHLtIFQRCEPYklS5b0dwiCIAiCMLCRi/g+Y5eaA2pra3dl8YIgCILQp8yYMQOrV6/u7zAEQRAEQRgAfPjhh/jRj36En/70p1i6dGmb8d/61rfQ0NDQ5XJ36UX8li1bdmXxgiAIgtCn1NXVoVTqXl/0giAIgrAnY5hmr/zbU3jnnXdw8MEH4+6778bvfvc7HHDAAfjjH//omeaRRx5BOp3uctl7Ti0JgiAIgiAIgiAI/YNhNT9S391/xp7zOP0NN9yAs846C2vXrsWGDRtw44034tJLL8VvfvObHpfdPQOQIAiCIAiCIAiCIAjt8v777+Phhx+GYRgwDANXXHEF9tprL8yePRuO4+CKK67odtlyEf8Jxj94DADAWfFfVMYnASDTLtBsVo+wvVbL2X1wYLCJPMOGc4Pt4tpGr4W3TQVtG3dcS6wWzdexdbecLcHa9Gkq242vYJEN1MdBGfwIqzajO4aFElt142wBZjktUkGy0m/n5egy8iWFokMTTWIhvGORIRfads1m0YZsCfmS19o/MkzfHR/Fpvxk4s1YEYQNiuWwkT7POg6K0HebDfkmm9uNSDlUgSSRpY1smGdLt5NuovqqJKtvadNqWGx+d6cdfwCVE6AYfENG0rwBsuTWZ0taeOr2JOBj67C7rn6yetumD0GDbctptiSXkSUZbAO3mrZ4h7fAv/VjAEBx8ERaXoit9WxGhs8PyyGDa8qhba6t9K4tmeun6Ch3PyxuXU3l874q7H4sr6f2YEMT7cuD2Bitbd7JPB0HVSELIW4AdG8UsSDtA06YTPR6X4NyAD7O69k2X8P7rDZbOy2mdfjYUIEoVEG7wIVPIoEaspnbS18GAJQNPtB95FDnGd1Lio97PNE9f5jZBPIRak8LrcoNc05szFE7r/dvpQzXOJ5kI7nOazqPWjaVX3ACsB220bd6DlLnEm2hLjmOa6XXyyqWDwcA1KWpLfVzQ1lw6DiyHWAMuJ2O1dC62TStzmuJPMWYLym3d5e4laJp2Kate2qxuScRM5fA/lUUsD4eK4Occ7UJns3tRpC7YSwVXIu7qXstyVH+sSvIrm+l2EgfiMBKbKTyaidxLEFeD8o3uneTDU0J5Ets0+d6Cfu4vi1thteWehofC5ioCNE0GcU9WbA1PlZKcwwco2NDWbQs/5aPKKbBe9E02pxfQTE5XKchn4kUb/sUn4PoZevPiJ/N5QooNFJdBSoovwu7H29von21IUvHz6Ao7RNp3rfyNm3vskDY7U1Htw0h7i1Fxeg8VOc1fVxBOUj56FyvLM8Wes5vJh+vbg8Olh8F20FBd5U0EDCM5lzekzL2EMrLy5FIJDzDTjjhBDz22GM46aST2nTT3hXkIl4QBEEQBEEQBEHoGYbZCxfxe87b3rNmzcKzzz6LGTNmtBn+2GOP4cQTT0SxWOxg7h2z59SSIAiCIAiCIAiCIOwGfPOb38S7774L27bbjPv85z+PJ554ApMnT4bf7+9y2bv0Tvyf/vSnXVm8IAiCIPQpN910E4YMGdLfYQiCIAjCbocyTKge3knv6fy7E1VVVXjkkUc6HH/sscfif//7X7fK7nYtLVu2DPPnz8fZZ5/tDnv88ceRz+fd7+ecc053ixcEQRCEPmXLli248cYbce6557pdpD733HPYtm2bO83JJ5+MsrKy/gpREARBEHZf9OP0Pf0n7JRu3Yl/6aWXcNxxx+Hwww/Hv//9b9x7770AgNdeew0rV67skWlP6HucpnoMqqVdYVOK3suoDtN3LakrsHzMr/JwotUAgCD/BqSFbSkWxWipz9aGHH9vfkQkyGKrNQkapxDwzBPwW0gWSPKQKpDYozbG87MgxgmRBMtRCkVedhlLa1YlvDqi+gytj56uPOhzJXX1NpVbESKhkJbs5MJ0gl4ZLjYLuFgwVF+i+Ac1rqAYWLoT9JnYmKJHZSpDzYI2AAg4FJOW4WmJEpwSTBbXaYGdXkfDZKFRGd/x27IWBgtQwPKh0op36evw8TScZTxgeUrAMmGzLEVvv6Aug8vXYrug4bhiFV/TZgqPBXlgeQ+SVD9GuNyVJGn5mBbZueWyJMgMs3DMF0IOWqxE21XLDnU96RgBwP1TiaRsdyfoSjBp29elaX833e1L+1XOVq7Y0hW5KO/jZWaW5C92xTDUszhTi4SqQmyi5OSeM+l4ikQqYdgsAepB8l++fDmmT5+OSZMm4b333sM111yDIUOGYOXKlXjkkUfw+9//vlvlCv2DYjnokKDCWm72aqPUBrn7n/6waZ9VoTI9CGFOflpQWsU55j0WOA6P0/6XLylUcf56bystaJ+aiCcWn0ltciJnu/myinOsj+Ws+QC1oQa3eemi40pRlzdQfHUmxaJlkZqgZbkxp2OUS8IOxamPKYdFd7ECrZcJB2EfC19DlMfCqxdSPVQO53qh/NlolaOcxac6fqOYBQAEdN5haZ0qUaxW9VCY5bRMhyVd4HXVwjwrvZ1iyTU119X21Z54NVpiZxoG4iGWorJ4NsbbSstRtYhXywgNACGb4nVzFOdRM0ExFGsoj5qlPEp8bmNFKmgcfzdZwOlKx3x07tBUsF2pmc5jWqbbxNtKt48FW8Eodb0/aKFvsVudeqxqoP3Hz0msyKK5TNFxc50WZ+pzKY3RQNJGNZj2sVxsCAp8bqmndfx0vpVm8W+MZZBGKQ/DCvdIfibsPrz44ovujQHV6vz2xhtvREVFRZfK69bZztVXX43f/va3ePbZZz3Dzz77bNx+++3dKVIQBEEQ+o358+fjoosuwquvvup5XP6MM87Avffe63nKTBAEQRCEdjCM3vm3h/Hb3/4Wxx57LP7zn/+grq4O27Zt8/xznK73QNCtO/Hvvfce5syZAwCeX4dGjx6N1atXd6dIQRAEQeg33nvvPVx55ZUAvHktHA6jrKwMW7ZswahRo/orPEEQBEHY/TFN+tfTMvYw7r77btx333049dRTe63MbtVSNBrF1q3cJ2iLk523334btbW1vROZIAiCIPQRHeW1DRs2YPv27aipqeloVkEQBEEQhA6xbRtTpkzp1TK7dRF/yimn4Morr0QymXSHLVy4EOeff36v/sIgCIIgCH3BKaecgh/84AfYvHmzO+yjjz7CqaeeiuOOOw6RSGQHcwuCIAiCoO30Pf23p3HiiSf2eq9t3Xqc/uc//zlOOukkVFdXw3EcVFVVoaGhAccccwx+/OMf92qAQh/g2K6MRYtg8iyMKQuTZCPD0jozn0IyRHek8iz2SORJ6KLlMlqOV+Qyk4USBkdJRGOzyGFojKQyIV5e1KclMDZavxWiRT8mS3CcSCUA/H/2zjvOjrLe/58pp7ftJZ2QQEISkBZaRClBREWEKC0UBQQUQrlIEZAiEFAUEK8gAldBr1wll/JD5UqkE3qRUNPLJrub7WdPnzMzvz++32c2J43N1mz4vl+vfZ1z5sw8851nnnm+M3tm3g+KetATiaj4gywdWdaeoRg2EtoBwKK1Hdh/NMlpwj4SExV5Hp3lbGrbs5aDL4wuAwAs3UD/sFIiHbtsDMVWIEGNke1E1E/iLSUUqouQqMToXEXzsgTPTrDUp2mJJ/px8yRN0TgGrYrKd1nCo0fLUFjyLr1nCZ4SCOkRWq9VPamk3ipNYHF3kbdfyXwCJfMUDPrsd4vQivTMr9PdTvPWTaZYWPpkd3dS3JF2OCz4gbvlZ3hcP1/wRMp4O0xkue5WdeZK5q0IUdtQbSHq0xHVqA2p56JyGarnYDiyxfUJw8fulbSvfXz7m9qPKzupTRe5n1iXzGOfej5GOPN4skeW+Nj8mvfHkGGh2JiompleLI0+23zM2/E6r29I2ga6baNP23HRRRfhvffew+jRo6FpGmbOnImOjg7sueeeePTRR/tUpjB8uEqipvsQ9tH7tEVtpjKghEIsLMt00PdlE5Bn4VRnnvqgMOe1hm6rpPxUnuZLBA0vz0yqoGNBia4CSqKa6xE4birMUuv2c5+aYrGVT9e8vBbn/vujlkzJslVh6jvfWk/yugPGJDzRJIrc57N4rsDHTbZIx9XkmhiauqhfzfA2ByrHAwA0i9ZjdNMIDdHy8TA6Sc5VHaP8Y7auoe1hAZ3LeQ3rl9Bnx4ZbYJkcS1KdirH0Hec1R8m71n0Ct7z0Lk7XR9K4Vpv6CLdIdTihPIhnltPxXh+l75TQTpHi7VHnA35D9+rZSrC0j2+20TlGs6uRYgqXw9BLn8dVkjo3QPnZ4dyrJJoF28WHG1JUPscyLkHxK7Gvyd1SddiAa1F9SF7bcdlvFO3rTc9XmrrpPMnktvX6uiSm1UQBAFE/5yrOeUoK7JaPAgA4oTIA1F4qLGqP6mLVDVAZqiXb4QoqopBBe7aI7lypzHKHZiDs8jvhRfyVV16J6dOn4//+7/+wxx57wDBKz1XuvvtulJeXb1eZfbqIj8ViWLhwIV599VW89dZbcBwH++yzD774xS/2pThBEARBGFYMw8BDDz2EH/3oR3j55ZeRy+UwdepUzJ49e7NkKwiCIAiC0FtuvPFGNDY2Yo899kAgEPjsBXpBny7iFQcddBAOOuigAQlEEARBEIabGTNmDPhza4IgCILwuUB+id8ijz/+OP7nf/4H3/zmNweszD7X0tKlS3HDDTfgjDPO8KY98cQTMgyPIAiCMCJpbm7Grbfeiu9973tobqZbidWYroIgCIIgfAbqIr6/fzsZiUQCkydPHtAy+1RLL7zwAr7whS/glVdewUMPPeRNX7RoEX7zm98MWHCCIAiCMBQsW7YMU6dOxf/7f/8Pjz76qCduXbFiBa677rphjk4QBEEQhJHKUUcdhXvuuQeu6372zL2kTxfxV155Je6++27885//LJl+xhln4J577hmQwARBEARhqLjhhhtw3nnn4ZVXXkFtba03fe7cufjDH/4gd5kJgiAIwmfgatoA2Om1z17RCGP9+vX4z//8T0yZMgXf+ta3MGfOnJK/9vb27S6zT8/EL168GCeeeCKA0vF0x48fj1WrVvWlSGEYKLSTbVYrWojrZN6NsTa6OUv/KVIHEos4kQxWwWb7qhLCKmO7MrgqO6sy0ZcFTc9cr8y8Qbb2apscqJYDBNlU72cjL0uAEWJze0uRzPaxgAadXZ7KRqtMwh1Z2h5l6l3FpuzqsL/HHMzbZKRaAACNBttAuczG7jxyq+mgGp8gCUWyQIZcZbp1TYpFz3YhVk52YaONLLdhPxlnXR+ZaJtsstVWBGl6oGoCDDYoF1Z9AgDwObQd7qjd6dWg/aEBABt9zRo2/Fp0UWHVTqEN4e+7irRhpq1hSlWwZ3kAtp9MwkaeTLrNaTKe1kZMBHN0y7Dmo21S1mFlrVfrdQIRz1iPIplbNbbUazkedpLjttnID/SMYqD2jY8blbKaq9EMDE1D1s/G+hhdTKk2EISwo6FGHRjHx8jS9lIrvbL4dmctRP30XvUdamQIw6Z2WAhXAgBsx0WOR8TIqZEzuBGbrKkv8nHcWXBQFqHlulJFdBd6TODbw+LFi3HZZZcBKO2XQqEQYrEYmpubMW7cuD6VLQwdhQ4aItBpo1dfagOquZ9u1ymHqD5fGdAd7qcCmoMAzQrboTbg5S7ug0bFqJ2rET8qzCJso1RS5HDu8+fJGh80aL2mrsHmsy5DNTGOrTlPE9TIDaaheX2mn3NrW4b63Tq2si9tI4t8IthzKmfkkgB6RnNJxsfzBlFMXWzK/6gpiV3KaN1qPapePGt8J+Uyny8EbFhJceXJqK5GJkkFKG9G/JQLjLqJ9P36pSgse5+Wr59A08ZOo3k4/2icw+xcGjob7FW5bSg1tndxEjB04LAJdLyrwzRVoO9U/7KajeLjy2j/1kRMoMDnBrz96pymkm37DtvBtWIOBuc3l+3ieqF0VAA1Qo4aXSaT7Rmlxcf7SrWXjEXzlJtUluMCLp8bOJoIM3dUsjyShTrW3m+mc5v2HJ2/TCijkSjaMgXE/DzagvqB1aF8pmfp+C+W02hDqm1rWs95lc4jQWgpbsNxGqUhZ1M7Cmp0Rjpwv90OAfJM/Bapra3F97///a1+r+vbv819uoiPRCLYsGEDdtlll5KTnXfeeQd1dXXbWFIQBEEQdjxUXgNKL+LXrVuHtrY2VFVVDVdogiAIgiCMYObPnz/gZfbpXx0nnHACLrvsMu+ZQQB4/fXXcfbZZ+M73/nOgAUnCIIgCEPBCSecgJ/85Cdoamrypn366af4zne+g2OOOQbhcHgYoxMEQRCEEYCmDczfTsKpp56KX/7yl1iyZMmAl92ni/jbbrsNXV1dqKyshOM4qKiowIEHHoixY8fixhtvHOgYBUEQBGFQueiiizB58mSMHj0ay5cvx8yZMzFlyhSkUilxvQiCIAhCbxA7fQlHHnkkFi5ciL322gu77bYbLr30Ujz77LOwLKvfZffpdvpYLIaFCxfi1VdfxVtvvQXHcbDPPvvgi1/8Yr8DEgRBEIShxjAMPPTQQ/jRj36El19+GblcDlOnTsXs2bNhGPLsqiAIgiAI28d3v/tdfPe730Umk8HChQvx1FNP4bTTTkM6ncZRRx2Fr3/96zjmmGP69Mheny7iZ8yYgcWLF+Oggw7CQQcd1JcihB2AbIDkLMFphyHtkkgslWNZDYti/AZJWZS0znZdZC2npJw4C36UCESJ75SwrCxowL+JyI6L84RrSqDXXbBRYKGHKtfnzUzlJYI0vWC7nihPjdjg43PtHFtl4kFfSaxRv4nKEE1zeO1JP0ly2lP0X7FulvyUh3wIc4EBjj/CojxsIs9yzYAnBfLgeD35HceY56D9/jDcShJlGd2dAABr3XIAgDmaZHWuj27h1eJV0JPtJeVqLALSWC7XZcQpVhYDNqUtTIhw3bFQxeVDvsEiWUtHlgQsIVNHiGU+TiWJkFy1Hp6u5CyalYfetpreB0kGpERIPRXC62OBDxwb2OSfjqk8rTtgKOGQEt5pqHCp3jMsN9N3njurdjqU2A58bHTzfo0GqK2NjpFc6t+FpNc21f/YlcwwwMeIOp4Dpo6qELWBsEWiLq1AwjzV3sMsI7P1MPQ8PdoVNMKw+thYvva1r+Hee+/FjBkzMGPGjD6VIQw/GR/1g+GZXwcA2MEE8i61uFSG2mYZtx29QJI21dcVoXviRNX+LJVbuNGqXFBhUH+lWTmYNndu3O95vyKxsNHhjxnL8eRraj1qGSXKsz0xbM82KWGrkrIG+Virj5UK9apCJrjrRLZ8AgCghfOaEq1F2ejq1zXoFh1LcT8do0qWqhl0PGoByj96qtUTa2ks7XJ9tG6DjzdXD5XEolePg5EjaZe1lm4j9dVPovpgMZzLslo92CNLdTjnhbivWJ8qch3Q5+UdOexaHixZt+LTVuoj1iVpuxLcB00qD8BmYZidpdwd4vOTdIhOnEMurd9ItcDxU15zDTpXUH0OWHRXMGlbTZ1le5rjiVpbWT4YMDmHWRRjjPdv0XHRxQ0i7BtRurLPFZ+0knxx1wpqj0pQqKhgA2VH1kKE26aSsHriQm7f2ORcKurmeiSSacpvboHFkKP4vKhiAgBAT3UgGqyBa46cX6aVYb6/ZexshMNhHHvssTj22GMBkEfuqaeewq9//WucddZZ2H///fH1r38dl156KYLB3mmc+1RLa9euRVdXV18WFQRBEIQdjubmZk9sJwiCIAhCH9B0QO/n3054Eb8p++yzD37yk5/gjTfeQENDA84++2y89dZb23V93adaOv7443Hffff1ZVFBEARB2OE4/vjjcf/998N15dcxQRAEQRCGhtraWnzve9/D//7v/6K2trbXy/XpdvpUKoXLL78c//M//4M99tgDfr+/5Pv777+/L8UKgiAIwrDQ1dWF3/3ud3j++eexzz77IBQqvT14/vz5qK6uHqboBEEQBGEEIOPEb5Fvf/vbaGlp2eJ3fr8fY8aMwcknn4zZs2f3usw+1ZKu6zjxxBMxadIkFAoFpFKpkj9BEARBGEnk83nMmTMHe+21F2zb3iyvOY7z2YUIgiAIwucZsdNvkRkzZuCll15COp3Gnnvuif333x+BQAAvvvgiEokEurq68NWvfhUPPvhgr8vs0y/xjzzySF8WE3YwNqRJoGHoOqIsWElsIpNTchkl2ekuOGDvDopKwMPntgkW5qzsJJFOIkjNK2s5KOeWVtDojY+lPko4VGQ5lqlrUJ6sgpJeGSwLMQPePLRe1xtKUgmz4iwN+vIEEucsbSPRjc9P6x0VD3jbpFjP4p/WjFWy7V05GxPKaJ0Rl8U2PpJNOIEaAIDGQi0nGPc6nVaTRHlVPqpfPUvPt1TGKAZN3a7r6J4wx83Tq8aCISdIcia1gXbZKGihBM1rZTgGkqZoLCcqaiwJ4s0rDxhIOfTB0FjSRCEhzXJCJWvJ2w5cH//yyJIms2s9fVaSOpb66LluEtUBcHP8TzsW2xmtK2k94/fjeWnbtWIBIbMCADA6TtvY2J331k1xU6x+Q0cXywX9qh36dr4OfWdhRj21y/fWdQIAHG7fuySoPSkJ1wGjy1CZp/9C2ywW01zaz1qO2rCf272vfTVqRu1O865eBgBwjdJ0paRThaKLlEEiqmzB9uRC28udd97Zp+WEHYtWFpf5WfRZo+kIutTx1UW4D7ap70GRRFOFMPelADK2ksdxf+TQvF22weVyX6Resl1e3+iybNSTmnKfDe53C47r5U9Xp/JclsgZKi1xn1e0HET9ap007UsTygAAy9qzG8+KCpa1+g0Ntkn96/pu2rYNnN/UPMkc1c/UqiD07lYqgON0ykZRuTnKa3akkuurAGv3QwEAvo61NK1AeSicaeHtMEu2XbMLsLva6L3Kayz8UvWlBHcYv6eXJx1eZ4hNqK5bmq/rowEUuBLdTY715nSh5LPKLbbjehK82oBahkVlnN/0HAnG4DjQOMe6BtWL2Um5MFM3jeqA24+aL2DGUR+lcwXLVrK7klBgcH5LWw4inM8KfeyrhMHnhBl0LPzjk2YAQBu3rX1HU5tQ0uN9R8URSTXSND6OtBSf9xTUccqdRSPlMnPfryH/zv8BAFz+57DGokVjNOU9JV5GrAaFnCttZSegtbUVl112GW677baS6QsWLMDPfvYzvP7661iwYAEuvPBCfO973+tVmXJmLAiCIAiCIAiCIPQP+SV+i7z44os444wzNpt+wgkn4NNPP0Umk8Hxxx+Prq4uJJPJXpXZp1/ijzvuuK1+FwgEMHHiRMydOxfTpk3rS/GCIAiCMKScf/75aGxs3OJ3Pp8PY8aMwbe//W0cfPDBQxyZIAiCIIwMXE0bgCHmdr5xhR3HwTvvvIM99tijZPqSJUuQSqXgui7y+TwCgQCi0WivyuxTLcfjcTzxxBNYuXIlysvLUVFRgRUrVuCJJ56A67p44YUXsPfee+PFF1/sS/GCIAiCMKTU1NTgqaeewgcffIBYLIbq6mps2LABTzzxBFKpFD744APMmjULDz300HCHKgiCIAjCCOLss8/G+eefj2uvvRb/+Mc/8K9//Qt33nknjjjiCJx44omIRCJ46KGHcNJJJ0HXe3d53qdf4ovFIm6++Wb8+Mc/Lpl+00034eOPP8aiRYtw00034aqrrsIrr7zSl1UIgiAIwpDhui7OPPNM3HfffSUJ9M9//jPuvPNOvP7663jkkUdw0UUX4fTTTx/GSAVBEARhB0Xs9Ftk3rx5iMfjuO2223DLLbfAcRzU19fj3HPPxRVXXAEAmD17Ns4888xel9mnWlq4cCF++MMfbjb9ggsuwMKFCwEA3//+9/HBBx/0pXhBEARBGFIWLlyI888/f7P/gJ988slYsWIFkskkTjrpJORyua0OEyMIgiAIn2s0bWD+dkLOPPNMfPzxx8hms0in01i/fj2uu+46BAIBFItF7LLLLpsN274t+vRLfKFQwMcff4wDDzywZPpHH32EfJ6snZZloaqqqi/Fb5PGxkY88MAD+OSTT3D11Vdj6tSpm82zfPlyPPjgg2hubsaMGTPw/e9/f7Mxfz/PrGkno/jaJBmh13blcMQuZIk1dTJgVmpk1SzoZJMN8vGUzPcY4Flwju4CWV7TrJUvC1GzCrGVujxoQE9vANBjn1Ym9EyBlsnxsq4LOKAY1DGc4RUZbPM1sbmlUxnyO7m8KNtfY2zb/3cT2XZ9hgYdbLk3KO6GZL6krESEDqBE0ESc7cCOFsbGG51yDF4PTU/D75mCuwtF3m5aj84md2Wl78hzPQWj0JXxPcJ25N3I6l7k+tGKFJsdKoOZT9M0Np46ZWPpc572Z4z3yzq2EVeHTOTZaBrl75T1Pc37rJyNxQFDB/IWr5PahZ7ppPWEywAABhuLne526FGa5ubJzqtsxi5vq5Hiixz+7EQqEHFLL47U6AVq/04sp22uDvd0S0pKL2bWHZ8vjC4D0GOjV6NIKEtzPGzAtejY0jMdNNFXOhqDOkacUAJW03KaZfxeAIBCawN9x/bqTJHmbc8WYfNyZUEDhU210L1E5bV99923ZHpjYyM6OjpQKBRg2zYMw0A8Hu/TOrZGZ2cnHnroIbzxxhs4++yz8eUvf3mzeTZs2ID77rsPK1euxK677opzzz0XlZWVAxrHSKaB81ojW9kbU9R3fnVSOdQpUaC7CQDg+rhv5tFFfNym9EIaPu6TbVDbVPb4MI/g4uP2pafJvI6W1dAqR9O8PIJKMUIjcahRQGy2qW/cMlOcq3w6rUdp65W93gGQ57xYdNTIHRovQ8fYv5tJfjSjJsbf9/Sxa7to+wM8TX1Vxv2u30p79QDOrcoWrznFks9ATz8d49yk8oF69tUO0zZ7dvp8GkaC6tUYR+dpxWAMG5P30flFwMpB45ECcjrFFPDipfWu7qK8VB32I8v1EuYE0ZGleIt8IqDymrL7mxqgc55U+VJtm55upxh5fzqhBGBTLGp0FZdzrr9A2wyuH5dHiEnAQDPnXbVute8mV1J9lfG5CNDThlS7EHZcvjqlFgAQ5RGO1CgPZUHan0FTAzJ8jHWuAwBoFrUXl0ftUedsrsltY+F/IXDkd+n9s/R4ljlqFwCAze2yndu0AyBoaN6xL2ydf/zjH3jqqacAAF//+tfx1a9+dVCW6Ss33XQTrrnmGgA0Lry6WHddFz/4wQ9w9dVXY8yYMdtVZp9+iZ87dy7mzJmDe+65B2+++SbeeOMN3HPPPZgzZw5OO+00AMDDDz+MU045pS/Fb5U777wTBxxwANatW4c//elPaG5u3mye999/H3vvvTdWrFiBGTNm4MEHH8SXvvQlFAqFLZQoCIIgCJTXfvjDH+K2227Dq6++infeeQcPP/wwDj/8cMyePRtVVVV47LHH8JWvfAWBQGDA1vvYY49hjz32wNKlS/GXv/wFy5Yt22yexsZG7LPPPnjxxRfxhS98Ac888wz23XdftLa2DlgcgiAIgtBvhsFOP3/+fHz7299GTU0NamtrMWfOHMyfP3/Al+kPCxYswNVXX10yzXVdnH/++XjyySeRSCS2u8w+/RJ/xx13oKqqCldffTU6OugXlfLycsybN88LcPbs2dhrr736UvxW+frXv44f/vCHaG5uxr333rvFea688kocdNBB+POf/wyAboUcP348/vCHP+Ccc84Z0HgEQRCEnYOLL74YPp8P8+fPx5VXXgkACIfD+N73voebbroJADB16lT87ne/G9D17rvvvli2bBnC4fBWy54/fz6i0Sj+9re/wefz4ZxzzsHuu++On//855uNOSsIgiAIw4Wr6QNgp+/98i0tLbj++utx77334rvfpTsc6uvrceGFF+Kcc87Z4l3hfVmmvzz66KOYNWsWqqqqcMkll8B1XZx33nl46qmn8PzzzyMWi312IZvQp1r2+Xy4/vrr0d7ejsbGRjQ1NaG9vR3XX389fD66XWTfffeFafbpfwRbZdKkSV75W6JQKGDhwoX4zne+402rqanB4Ycf7t0uIQiCIAhb4oc//CEaGhrQ2tqKhoYGpFIp3H333d5/yKdNm9broV96y7hx4xAOh7c5z1NPPYVvfetbXv4LBoM47rjjJK8JgiAIn2ueeeYZFItFzJkzx5v2ne98B4VCAc8888yALdNfdt11Vzz99NP46U9/it///vc499xz8be//Q3PP/88Jk+e3Kcy+32VXVdX198iBow1a9bAsiyMHz++ZPr48ePx0ksvbXW5fD7vPcsPAMlkctBiFARBEHZsdqRnzR3HwapVq7aY11asWLHV5SSvCYIgCEPOANrpN81bgUBgs8fZVqxYgfLy8pJfshOJBMrKyraaI/uyzECw11574YknnsBXvvIVVFRU4Pnnn8ekSZP6XF6fLuIdx8FvfvMbPPDAA1ixYgW6ukj+ccUVV+DCCy/s9YP5991332eOJf+LX/wCtbW1vSovmyV5xKa/lMRiMe+7LTF//nzccMMNvVrHzoASZChRTchnYHkHSWPqYiRaCMWpDn3FUulbPOBDxCAZS6dVWq6Sj0VYNqMEZYF8F1yT1UIG/ZKU43lVLO3Zns/lLIApA+0zJb9pzZDoQ9d6hFlq+RCL27rzpZK95e1URsBUAhwLddFASbw+FnBZLJkZFesxQ6ZYAJcwHa4zmjfLUi0tRPPabk99qpjMPHU+Toh+xTO61lMskXpv/T5PbEeiLIc/e2IUlgh1522Uc6emylMSJZfrNONJlCj2iJuDwcs3p4slsa3qpPK/UNfTganydItkdWpf2Uveps+V9A87u60JeiiCEpTMyE+SJiULUiIXrRhBlHubmghN68jSMgnuj1VsfkNDkfdFe47qXwmMhB2fGMuk8twQlVwqigIy/jIAPdK7TVFtt2jGEWFplJOktgRu90pop9pLRahHGJUIGPBbff/f9F//+lf84he/wJIlS/DWW29h4sSJ+OUvf4lDDz0U++23X6/KeOKJJ/DXv/51m/Ncfvnl2HPPPXtVXj6fh+u6W8xruVwOrutC24LJ9/OW11Qf35Wnvq6WBaVruixUhzmnsGjK6GqkhViIaCRJeKfnkp7wzI2U3vUXcSkXmhvW0PdtJLFyMt0wuT9UojPV9/t9SjhH+yeg6966XJa8ddrURytRrOv25NGQt012yauS9sVYtqXEsAC8tqDyWthH214fpe1Rfixb98FkEVchSNtcZGlsmEV/mkvlOv4IQqzlM9rYw6BEs+2r6bPK8SoXWFmABXyaTScLXl7g/WAZ1KZDhbQ3bxAsjdvk9DQWoM/jwg7ai/S+OU3lxlkypiS7M2qpTiPc98B1oBUorylZrG89jZ7k+ikWu43ys16l9wj/FKrddCi5Jkn8XNPimC2MidMyq7uoDqvCVB+qr4uAvExZzY9kXvWNktdGCvV8XqjOGyu5ifjalsNRuSpA7dngNqZl+QKUz61QQed+huOg8NIj9J7ljwjROaCSvlarEybdgFbMQ3czg7BVg4OraXD7aZdXy48dO7Zk+nXXXYfrr7++ZFo2m93iHXLbuvbryzJ94dxzz0VbW9tm0+vr61FZWek9ugfQNXFFRcV2ld+ns50777wTv/rVr3D55ZeXDDU3ZcoU/PSnP8Vvf/vbXpUzY8aMz7yNMBKJbPP7jVG3PKrn9BXt7e3bFAZcddVVuPTSS73PyWRys4YjCIIg7Lw8+eSTOO+883DllVfil7/8JRyHTrT3339/XHHFFfjXv/7Vq3J23XVXHH300ducp7q6utdxhUIh+P3+Lea1eDy+xQt4QPKaIAiCMLJZu3ZtyWgwW5LKJhKJzfIjsO1rv74s0xcqKiq2mKNnz5692bRNh7ftDX26iL/33nvxl7/8BTNnziy5iJ89ezauuOKKXl/EH3TQQTjooIP6EsIWGTt2LMrKyvDBBx+UDBOwePFizJgxY6vLben2DEEQBOHzw7333ou7774bp5xyCu677z5v+iGHHILXX38dnZ2dKCsr+8xypk+fjunTpw9obNOnT8cHH3xQMk3ymiAIgrCj4breTU79KgMA4vH4Zw7pOmPGDCSTSaxZswbjxo0DAKxatQqpVGqrObIvy/SFwbTdA30U261evdrbyI3/wxAOh4f1uTtN03DSSSfhgQceQHc3jee5aNEivPHGGwM+3J0gCIKw87C1vKbrOgKBAFKp1HCFhlNOOQULFixAQwPdzrtixQo8+eSTktcEQRCEHQrHdQfkr7ccdthhqKurw1133eVNu+OOO1BfX4/DDjvMm3b22WfjiSee2K5ldnT69Ev8hAkT8Pbbb2PWrFklJzsLFizAlClTBiy4TXnppZfw29/+FpkMPRty88034/7778fxxx+P448/HgBwyy234KijjsL06dMxbdo0vPTSS7jkkktw1FFHDVpcgiAIwshG5bUZM2aU5LXnnnsOtm2jvr5+UNa7ZMkS3HjjjQAAy7LwwAMP4Pnnn8chhxyC888/HwBw4YUX4oUXXsDee++NmTNn4rXXXsNRRx2F73//+4MSkyAIgiCMBILBIP74xz/ihBNOwKuvvgoA+Oijj7BgwYKSu9EeeeQRTJgwAd/85jd7vcyOTp8u4i+99FKcfvrpuOWWWwAAL7zwAp5++mnceeedvb6Vvi+MHj3ae9ZQXbQDKDH7lZeX47XXXsMrr7yC5uZm/PKXvxzUfyyMJPIsiDI0ko+lCiSQ6chaGJfgaSxc0QulcjOXhWsR10HeZQENC+7KWCqjRDoRk171LD9vYvjhsGBNLatEP0rIE/b1yHhiLLbTOkmYGLBIuhcPkPAhmVeyM8MrJ8vl5DaR1ZWHKP6KkMnTdSinVtZbN62vhsU/QY7fcXskQ0mb50EnAKDRoNt71P8KC/bGcima6rAwxxP92M1UP7rt1amS7SBcRsuwUAhclsMyIVPXAJYMbWr91FmCZ+rhkvg1uwDDpHpX0ruCXfpsjpLuVPmK8LoDfhbYbmcBUy5N5flYXOTYcIubWA0dakt2GwuiYrQ9SPRIKZMO1a/F8+ZtqoeAQXWrJE6243rv16csnkZlhNK0rYlICMKOSU2e2kCzn/Z9XKd9qBUyyHF/YvD+VL5CJTCM8oS05QDcD8S43XfZPQI7APA5JIqqRB4bnLC3nGrr28vFF1+MU045BZZlIZfL4e2338aCBQtw6623Yt68eTAM47ML6QPl5eVeXtv4WfqJEyd67/1+P5588km8+eabWLlyJW688Ubsu+++gxLPSKPQuQFAj0RO5TX1OioW8ESk5VZ36cJKkpom8ZATSnjyNSVA04qUf5Skylq/CgCgR2h9erzCE5DqOcpZjkPtOWj0SFIBQM8kYXRTHnCzNG+8hoYWas1RjCr/+XTNE6umlYSW+8WqsI9fIxtvBoKmhjznNZX7Kjn3KWGcSlquo3v5Jtz0IQAgP4ofA7F5Hj5eNbsAGCxSVdI3Pidw20kSqPP2qDxld7RAD7I0jmWBmk3HrOuGOF7uAJwiNIslukqCx/UfNOnYTqjzAisFk/OvEtkq2a0qT+WUsTElJ3S9/anitLton+t1nMsLvJ9dB7BZrseyPodlhrqSkPH2eKJemMhxe1Oo9jcuzudQXH8hp4i1OT7P0njfpKldBiLbP060MDSM06jdrDFYVMx9hpZNwo3xeY4SQXI7t3m6kaRjREkzjXQndO4jtCoWgavPSerPzDydd1m1uwOG6x2LIwEXPefG/SljezjiiCOwcuVKbySyL37xiygvLy+Z54EHHsC0adO2a5kdnT5dxJ977rkoFAq4+OKL4TgOvvzlL6Oqqgo///nPcfrppw90jB4TJ04sObHZGoZh4NBDDx20OARBEISdi9mzZ+Oee+7BFVdcgTVr1uCkk05CNBrFvHnzcN111w3aequrqzF37txezbv//vtj//33H7RYBEEQBKE/OC799beM7aW8vBzHHnvsVr8/8cQTt3uZHZ0+j8Vz4YUX4oILLkBDQwMcx8HYsWP7ZNYTBEEQhB2BOXPmYM6cOWhsbEQul8OYMWPg842cX0AEQRAEQdjxmDlzJp588knU1dUNWJl9H1AXJP+RIWsEQRCEnYnBev5dEARBEHZmXNf1HkXtTxk7G7lcDi0tLcNzEX/cccf1utDHH3+8D6EIgiAIwtBx/vnno7GxsVfz3nvvvQOafAVBEARhZ2O4bqff0Tn55JNx11134be//e2AOXZ6fRE/YcIE7317ezsefvhhTJ8+Hfvttx8A4M0338SHH36I0047bUACEwRBEITBZMyYMZ6JtlAo4L777sPYsWMxa9YsBINBLF68GK+//jqOPfZYmGa/blwTBEEQBOFzyvLly/Ff//Vf+Oc//4k999wTwWCw5Pv77rsPFRUV21Vmr89K7rzzTu/9Kaecguuvv34z2c8NN9yAJUuWbFcAwuCR/K+fAAAiB80GABgJ+hUp5aPX+iidvNZE/BgVIwurshoUTPovUZatuAmTTKs5mJ7V3WAjbJGN8H42nWtsHwebeYv+KLrYIhtlWa+ZJ9NvmA3uITbD54tOjxmfUVbZmI+mawGy1dpuj4VeZ6u1ildNH19GB0k5m239huYZ7Av8WsEWXxW/mp4IGGhOkyk3ojTabIZXFm2L/11ouy6K/F7Vi6vTOtVdQcq+q3eTfdT1h+AadAg60WqapuzdqRZaiG2mPsPvmX3VvKpeUmylV9Z9b78Ey1DgfaUs/u83p0rqhyeTsZftqOhupW1i07yy9lpr6NjW/EG4eZqmLPTKVm9UUtty0rR/lZ3VMkPoTFG7UPuoNUPLlHM/ZrtUF3kbMHSqNJ3t/LEAj4iAUgOwsONhZGhUikR8FE0oUruF46CuIlIy79INZGVWx1zaYiu0C0T9dPyo9r2Zrpbbq55qQSixizdZ19Brrr76au/9T37yE8ydOxcPPPBAyX/J//jHP+Luu+9GVVVV7wsWBpXUn25E+AAaNtYIUJvqilA7mVBG5nPVD9ZFTe9XHdcg+3dR9astywAANvep0A24ajQRNk2rkVncLNmiDTXyhsnW8VFToLHRHt1tHBONoqHM9sper1nZHgs150kjSf1sLEbHi8ojAb3HVJ8ssM2ct786Qom0is3zqh930NO/qj5fHQ85Pt0LFWk7UnoYYV+wZBt1HgnGNencwNY390G4yriv8luG+nqT8xp4WccfhFZBj6U4PM1gI7wq3zA4pxetzQz2xWAZFcf1oban6C+DwXlN1c8nrbRNKq9FOV+EXCpLy6Sgs0282LiKYrDYlJ/7kLdH588pb7QYPcejGZRT+3C4DbhBakcW2+W7cjYyFsWZsXhkAjXaCrc9HvgHQddB0ODzCD+3Ne4zIXb6HRY9T21hTAWPUECnUnAdB/6ympJ5C7Y6B6bjxxt1iHGzaW+kA5dHvdj4OwCwG6hv0ivG0Xmhth2JbQdgJ/whvd9UV1fjnHPO2er3ffHK9emnhYULF+I3v/nNZtMvuugi7L777n0pUhAEQRCGjYULF+JXv/rVZre5zZ07F5dccgmSySTi8fgwRScIgiAIOz5yO/2WmT9//oCX2SedfKFQwEcffbTZ9A8//BCFQqHfQQmCIAjCULK1vLZ+/Xp0dHRIbhMEQRAEYYehT7/En3HGGZgzZw6uueYa7L///nBdF2+99RZuuukmnHnmmQMcoiAIgiAMLmeccQYuuOACrF+/HoceeiiCwSA++OADzJ8/H1/96lfldnpBEARB+AzETr913nvvPdx8883497//jXw+j9122w3z5s3DN77xjT6V16eL+F/84heorq7Gtddei/Z2ehassrISl1xyCa644oo+BSIIgiAIw8WFF14Iv9+Pm2++GVdddRUAIBKJ4JxzzsFPf/rTYY5OEARBEHZ8HP7rbxk7G8899xyOOuooHHnkkTjrrLMQCATw7rvvYs6cObj55ptx2WWXbXeZmtvPf3c0NzcDAGpra/tTzA5FMplEIpFAV1fXiH4GsvDqAgCAPn46vbKkpVgxDgCwskBSm6INlAVLnwNV8roQy1kiPpJqOC7QzZKdBMtjlJQqzLI3Q0nTUiRIc4MxdNj0/6Iy9uToLHJxQ4mS9WrZLugWSYE8oZCPRTlBnleJh6wsNJbguYEoxWLQvJsqQLrYKhP169iQJukIb5onoFHeECW48xkaunIkqanRaT0Oi/jWZ6g8ayOZnTqSaiIUN1cP9GxHSdxqPzjhcmjZLu89fUeSEyVRKZbTvrKNAAybRHaaTUK4rEmxqEM4t4lgUNeAAG/b6i66FfiFVRTLuESQY6X6mp5wYCR5qK3mVbTulnW07g4SFukROhaM6tHQWOpksJxFCX+0RA3HSOvL1M8AACzryCPHbUqJf5R4qiLsK/lcHjS8NqVkRiZvU9ygZQMiANphyXd30hsWX4EFYYFoYssLbMSzy0joWBHyIcHSqpWdJNvarYKFZdwWYiyFioZDJWUMRP/d3t6ObDaLUaNGQRthQqGtsbPkNQAovPIX6BOob9GUiLNmVwBAg0N9g9prtREfHO4j89yvRDUWcSrJKPfNTqQSRhf1e15/zX20EtKpflGPltH06vHQ2huoHIvK1RN014bKYch00qtueH2nw3I0ldeULE3177ALcE3qp3OGkvXxV5xrUpyL45xsWjJFrx9V0jTVhyr8LuW/tGMgnqJtUULVTITO41T/q3yujgtE8/SDjRKqetI3hdrGGOUErZD18prG87pJ2lfOWDonUdun2QVoLNWzYixH5X2WLdJr0KTtsB3XywcrOa+9vJry2ug4i2yDtD3715Ps0OhaD615OS3fQX2Mk6J4NT8toyStejACTYnK8pzXzFLBX2bUXgAor1FsOtKF0suOCNd/jAWdm54vAUDY4PMHlu75qsdB2DHJp6gfUO3f6KLzJWP8Xp+5bKF9Pc3L+1mz8sjUTQMABD9+FgDgKlFr1Riad5d9SsoYCf23inHJmvWI9TPG7mQSu40btUNv7/Yye/ZszJo1azMp/NNPP42TTz4Zra2t2z30XK+fiX/vvfe2OL22tnazC/itzSsIgiAIOwoff/zxFp91r6iowOjRo0su4Lc2ryAIgiAIhOsOzN/OxvLly/Htb397s+lHH300bNtGW1vbdpfZ64v4vffeu9eFbs+8giAIgjAcfOMb38CaNWsGfF5BEARB+Dyi7PT9/dvZqK+vx6JFizab/v7776NYLKK8vHy7y9yuZ+L7cr++IAiCIOyo3HrrrSgrK/vM+fryX3JBEARBEIQLLrgAZ511Fj799FMceuih8Pv9eO+993DHHXfgnHPOgc/n++xCNqHXF/Ff+cpX8MEHH/R6XkEQBEHYkTn00EPR0NCAhoaGz5z3gAMOQCQSGYKoBEEQBGFkInb6LXPyySfD5/Ph+uuvxx133AHbtjFmzBhceumluPTSS/tUZq8v4p9++uk+rUAYHrKP3wGjliQpGstZ7BjJWlwfSXLKWdzTlXfAnhhPJuW3aEJ7jiQ4ukbTLcdF2iKBi5LLKOGMQmdBjUIr5hFkMUxjhuQdFSGS36gDVZUVcB04AT5R5vhclskp2ZuabnQ1wvWRlEYpZbQwidp8xWxJDLbrBwBkrB75TJSFM0oAtKlMTbcthH00jwt/6Tbxa5E2Bz5fz3I23wfE7juEWVxU5KdXVElaIQMYyvSnJGC0rBItdbEQMKC5SDssgNPplV2DSFluyXYEMvSLoRMu92RySq6jHEfdBQp8TIImuGYAboBlcaOn0LwsWik00gVOMUMSqOjEaZ7AScWvxyo4bipPyRPXpWi+XNFBa4beK5FgniuvAr6S+DtyNtIcX2WYtr+CxYsitBsBqLbMgi7XpGOy2PAhzDHTtrno4ZOqAQBPftTkHXuqDSvBlaHTa31Z/y+oH3zwwX6XIQwdqT/dCADwj9sNWhdJdd14dck8ZZzDihvdjxlI0bxmlOYtcC/sj7CEjeWLBSOAQKRHzAYA0Cl/OmmWjgap3WlKQGTlYI8hyZ6S4NncLyoJlpbiuzgi5XBMWrfKa2oecNr05Fe2BTtKgjwjSjnbx3JTH8fbzXkty3nNdoCKMPWjIY36UJfzjtpGnYWzkWiVd2yqfKPOA1Td+ZSkVtfg+kkSh01yrhLyKSGTZvH2aLonzFP5UtWZkvmpmIq+MAw/9RdmIUXbxOJWJTM12td4yzq8j+oiVH5l2F8Sb3VkC79oVY+ndWZYstdC+9VqobYROYDEiE46CfhKBbmuruImwZYS6ll8ztCcyqE2SjE0JGn7J5bzPuOHVlO8j5pSFqpZ5hrmXChCux0fPc1iR4skx2ChZmbB7QifsO27lP0VowAABSW6dB34HGpDWuVoKp9lwPomQruRiNjpt8z777+Pb37zm5gzZw4sy4JlWQiHw/0qs9fPxAuCIAiCIAiCIAiC0Hu+8Y1veCO6+Xy+fl/AA3IRLwiCIAiCIAiCIPQTFwNgpx/ujRgExo0bh+XLlw9omXIRLwiCIAiCIAiCIPQLx3UH5G9n49prr8Ull1yCN998E5Z6JLWfbJedXhAEQRAEQRAEQRCE3vH9738fq1evxsyZM6FpGnS99Hf01atXY/To0dtVplzEC4IgCIIgCIIgCP3CRf9vh9/5focHfv/73yOXy231+6qqqu0us08X8Y7j4De/+Q0eeOABrFixAl1dZGS94oorcOGFF2LMmDF9KVYYQPy77Y3i+pUAgOLqjwEA+h6HAAA0i6y7ZTxvLB6HzoZcZbLtypMRtiNbLHnNWDaU9FfXyOCaCJBpVUnqLYMN8X7yS7pmAKlcqWG6jctTKAvsqFDCs/Uqi37aITNsMFhWsozu6/AstQ7PqwzzrkmfDU3pdou8fgeWssezLVYZeVUM3WzDTug2fAYdIo5ORl51h49fyeTZoenXNYRYQ6teVfkaW7p1k8qAzcb/XJdn6QWb4DWHvitUkinX5v2QLTrozNH7KJdvOhSx2h5lxVdl6FYWpk8ZvHkejl/dqtTQRR3KrmUJ6GwfNltXAADyzWupDoNsU3bYgNzdCRRpm5wMGZuNynr6roYsrEXeV26hwHVhe2Z8FWfUT3WrTPSJjazSOu83ZZoui/ZfACIMEdyWlWVbjTahWXkUGz4EAGQrJgIAYuHQFos4do86/N+nNBqCsjyv6MiWfB4M/vrXv+IXv/gFlixZgrfeegsTJ07EL3/5Sxx66KHYb7/9Bm29Qu8I7PYFAECxeS2c7g4AgLknGeeVTT5WpD7HZQu83pmGy1botE39ihrxwNApV9msQi5mbdSxfd5IkoAI3J9qZbVUbidN10JkZbdDCThsmvds7watW2PjtOmZ7nXPSu+E2NCuRnFQI5VkabvsQLk3+orKJWG2phuctBzOa2rEGE3baBQH7l/9bMF2ODb124+W7+4xzvOIMmqUmJDZY6UHAL+dh54na7wytOtcLy7Xt5cTusjarSeqvG1T9VCs251XTlHYPOpNe7aIsiDF6+OzUpUnXIPN+YWeEWfcQJTi0/z8StMDbHtf303nEBPiVKeuPwR9PZ0H2S3raGbup0zug+y2Jq98NNJzq1oVncuqfVWM19H6Oml7mtP0GvMb6OKRfGojFFMbj8ZSG6EN6srS+vyG7o3oEwwNXl8mDCzKSq+lyFJfbOX2UrTQed+PAQCRvQ8EAPj2P3aLZfjLaIQoq3klND7mrJrJ9F3Tx4MT+DDguIDTz6vw/i6/I/Lpp5/i1FNPRTQaHbAy+/RM/J133onbb78d55xzDpLJpDd9ypQp+OlPfzpgwQmCIAjCUPDkk0/ivPPOwwknnIBAIACH/2m1//7744orrhjm6ARBEARBGKn87Gc/Q2tr64CW2aeL+HvvvRd/+ctf8IMf/KBk+uzZs/HYY48NSGCCIAiCMFTce++9uPvuu/GjH/2o5D/lhxxyCF5//XV0dnYOX3CCIAiCMBLor5l+IO7H3wHZc8898frrrw9omX26nX716tWYMWMGAEBTtysDCIfDJb/MC4IgCMJIYGt5Tdd1BAIBpFIplJWVDVN0giAIgrDj48CF08+r8P4uvyNy4okn4oILLsCaNWuw9957IxgMlnw/c+ZM+P3+7SqzTxfxEyZMwNtvv41Zs2aVnOwsWLAAU6ZM6UuRgiAIgjBsqLw2Y8aMkrz23HPPwbZt1NfXD2N0giAIgiCMVC677DK0trbi8ssv3+L3a9eu3W6nXJ8u4i+99FKcfvrpuOWWWwAAL7zwAp5++mnceeed+O1vf9uXIoUBorj+UwCANfFAmN2dAACjkmQs6CShixMuo9cYiXr0QsaT1uQiJAla1UnSDSWXUSK0jqyFjEWClq4ciVsqQ1Qe+9bAjh2YLNKBpiPLAp4WFsGMitF3SqDjZzNN2jVQ0KhZujyMIrvNkGUZkRJe2GXjvPfrkhbHQOXYHK+SwClRX3e+iLIgyW6UBK89q8Rqekn8XfCBJ6G4iWUjzl+0Z3uEcTkWCpm6y3FTLFqG6tZUYhQWAtmxWmR9JEcKgiVBXGeqvlUZbVkb6rrC5Gn5Yum+SVv0Goyy6KmY9+JWr2EfVaaSyo0v6xHreFImlkDp4RhvPIui8tQm3HQSYGkU8iQb0vxUjhL1qfpX1ba0LdMjtuNpU6pI8MTNyWsDAVPDmBjto6iT4ehEbDdSUGJEzWXZVpFtrKYPdpwuhFsz1N7fXN8CADh8UnVJGYtWtXnvlSBKMbkmNvBBA7j44otxyimnwLIs5HI5vP3221iwYAFuvfVWzJs3D4ZhDMp6hc/GWf4Gve4+CwCgdz8Fs4aG4nHWLQUAGFUk1bRjJI/SuN/Ss12wqkik2Jxm6afqS/lNF0tDHddFzqb9PJHlaVCvLGMzYtweuX3bsVp0FliGGmB5XIH7ejVPnGJyQuVwuSPXlCWVy1UC13AlxepoBprStC6LO8kOzmN+jjvFyao7T9tVGfYhxbGo/BbzU18a5NXlYnQ+4GMpKwDoHKcS3Dou50glzPMFYKq8wmJcJfzTC2muTBbz1YynmBOjoOW6aRqL4cCiWFV3Ka5K24UnM01z/at9pGSERpTMzVox7y1f4DosD9G6VX6rj27ya5amAzp9p3GcLr/aacrPWhf1OXo4BidL22RUUptSMr8esS3F1NRNfVsm6EOW99He9XHeptIcrs51xvlsaFYnByZ5baTgrCYpa7FpDU/g89GihdBEktPpsXIAgNVEYkRf3a4lZdhrFwMANMPvyRL1PB0j+sSdR5zq3RLfzzJ2NpYvXw53Gxu26S/zvaFPF/HnnnsuCoUCLr74YjiOgy9/+cuoqqrCz3/+c5x++ul9KVIQBEEQho3Zs2fjnnvuwRVXXIE1a9bgpJNOQjQaxbx583DdddcNd3iCIAiCsMMjdvotE+B/8g4kfR4n/sILL8QFF1yAhoYGOI6DsWPHbjZwvSAIgiCMFObMmYM5c+agsbERuVwOY8aMgc/nG+6wBEEQBEEY4XR0dODPf/4zli1bhp/85CcoKyvDokWLMGPGDMRi23+XYZ8v4gGS/4wdO7Y/RQiCIAjCDoU8/y4IgiAI24/cTr9lVqxYgYMPPhg1NTVYunQpLr30UpSVleHll1/G3/72N9x8883bXWavL+KPO+64Xhf6+OOPb3cggiAIgjCUnH/++WhsbOzVvPfeey/q6uoGOSJBEARBGLmInX7LXHvttTj99NPxs5/9rOQH8HPOOQcTJ07EjTfeuN3unV5fxE+YMMF7397ejocffhjTp0/HfvuRjOHNN9/Ehx9+iNNOO227AhD6R0syU/I5WkFSme68jbLJMwEATrYLQI/oR7NIXgOLhVOBKFw/CVYsu/TA6WJhTsxPDStnO0jyNCWR6S6Q0EVJ5BI62WqSRZLLFGwHFj/gMqEsyMvSvEr+kuP1ZvM2UnkShoyN022sEVDcji/obRsAtGd7yu1kyV6AD4AQl6/UPSGTPn/ckkcsYPK66NuKEC3T6gnuDG/ZHiEcS41yPIQii3VCJt3+krIcaFx1SigU9fPjJZvIfFzeDjhFT5xng2/ZZYmSv0CyEz/vM3+0ElkW2SnBn5LrcPWjYLOEiIUrml2A30f71XZppsmV9HlNF+379d3UFsqDBioMLogFQHqEBD2aj/ZjcUMDhZ3LQDPZSOTQMoVP3qRNZalUOkgSIkXMb2BZK8mC/LwvlndQ/KNjVB9Frre430DEZYmeIbcyjzSMXfYB0CMjQ7oTAGDX7Q7w/lRiO4NlVv/9LrWtyZUkOwwYBl7bQMuNSZA08Tt7jhrwWMeMGeM9p1YoFHDfffdh7NixmDVrFoLBIBYvXozXX38dxx57LEyzXzeuCdtBKpMt+exnMZ1lUlsITjkAGuc1nSWbbpb6TC1Abcg1qV9x/CFPHqfIcR8a5bxmcZ+ZsWwvrznRSio/20mv7WsBAHY52YNV3+RqGipclrtxuwbLQR0/yzt99NqaLqI+wuLQXFfpRpvU327IUT9YsC20stQxyH2melVpOmjQ5yXcjycCPnQXaJlRMaqXdpb2lXPaUTI/S9MRsChuJaDTnQ4AgL9sHMXA+S9vuzA4B+o25SQYXO+qbtUrC+/gugDnOpenaXlan8nrS0SojsOhkLdPfJzX1LmIvenDsU7Rk8NCo2N3dJxe1yWpHlT/onJwzC72iO2CtC8MfnULlGuc7g4u3/bmzX9EYzr7vkDtzq4kUZmS7sVZktuRtTxx66pOarsJPs9Q0VeG6bPRvs6TmgkjB/8h3wEA5B+6HgCQ3UDtpeyAg2A1LAMA+MbtRjPzsdCZovPz6KfPAQBslk3n9j/ea0OxcI9cWNi5eeedd3DttdcCKB3GtrychIhtbW2oqanZrjJ7fVZy5513eu9POeUUXH/99ZvJfm644QYsWbJkuwIQBEEQhOHg6quv9t7/5Cc/wdy5c/HAAw+U/Df8j3/8I+6++25UVVVtqQhBEARBEBi5nX7LBAIBdHR0bDZ93bp1SKfTSCS2/597fTLRLVy4EBdddNFm0y+66CIsXLiwL0UKgiAIwrCxcOFCXHDBBZvdzjZ37lysWLECyWRymCITBEEQhJGB47oD8rezceyxx+KGG25AKpXyfolvaGjA3Llzccwxx/TJXt+ni/hCoYCPPvpos+kffvghCoVCX4oUBEEQhGFja3lt/fr16OjokNwmCIIgCEKfuOqqqwAANTU1WL9+PWbNmoXx48ejsbERv/71r/tUZp8e8jvjjDMwZ84cXHPNNdh///3hui7eeust3HTTTTjzzDP7FIggCIIgDBdnnHEGLrjgAqxfvx6HHnoogsEgPvjgA8yfPx9f/epX5XZ6QRAEQfgMbIf++lvGzkYoFMLTTz+N559/HosWLUI+n8e0adPwzW9+s89jyPfpIv4Xv/gFqqurce2116K9vR0AUFlZiUsuuQRXXHFFnwIRBEEQhOHiwgsvhN/vx8033+z9xzwSieCcc87BT3/602GOThAEQRB2fAbidvid8XZ6xZe//GV8+ctfHpCy+nQRb5omrrnmGlxzzTVobm4GANTW1g5IQML2oQyXynO4spNu+ayNmNhgk+22jM2HBs/sb6RbRjVlS0ePaTfMitVdWWVr8b/DlA3X0DTPFj2GjbCVIWpGysquLPIhtspGfDryXE5ZkJ43DTpkkXV9VAaL4hEydQQN+qCM8HqyjcotGw0ASFv0/ZK2rGcSVkZblvUiaGpevADAEmIETd2zuutcaxUcf3uWjLauq4z3jmfybWdz/XidDf9Fij+aKPPqR5lw/TZ9p2XITKosyR5sLtWKObgcn9p/Ztc62tZgomQ9pgbk2d6rjPlBtc28cMBUT8ewnT6fhs7lqLqsidB+zli0PWPjvK9MzRu9QNnzla3XqKZ619oaOXwdbo4sw65FJuSOj5YDAKoTZBuO7P01qh+uk5XtGaxooWXGlFP7CfFOCVfQqzIhV/h1ADQtEBWL70jF1VV6oTZsB+NIFaht5ritqTYbZZNzc5qmJwImxpdRO0kEh26EgnPPPRfnnnsu2tvbkc1mMWrUqBKLrDA0+FQfyib0rI9GAQnlqE+yKsbD7N5AM9vUBzmfvAYAMNkqrwzx0E0YqRYAQG2U+rL1KVpGjfShThjDPgMhH/fJRR4hg0ducTax0qv8WXRcGPxeZ+u6stLr3Nf7fNSW4wHD2yYjSedOxfKxHAvFsKw968WiULlb5TPV91uOWzKv39BQzvmsil+7eDQXZXlXxyAVRX19vcZm/wKtW9W/X/d75RoZ+sFGjW7jqFEAeAQULZ+iV2WO1w04XFf+1hW0TJjORZQNH9Fqb9u9kWA4d9t82KncBbb2a6l2gPNanEdQ8XP9qPP+Cj7PiBg0Qc93Q+NzDbuD2o1/wlQAQKGBYjNCtB3FznYYERolZsMbi6l+wtT+zH0oXg20Pxu6qL6WNqcwpZ7mWdlBef/gsbStHTw6QG2AbfuxWgRiZRBGJhqfZFpp7h9s27PSO+EyAIBeoGMhzG3OHT0FAODjfkgrdHnnWwiPG5K4hZ2Tfo+ZIxfvgiAIws5ERUXFcIcgCIIgCCMOx3W94aP7U4bw2fTpIv64447b5vePP/54X4oVBEEQhGHh/PPPR2Nj41a/v/fee1FXVzeEEQmCIAjCyMJx+38R7sg1fK/o00X8mDFjSj47joOlS5di4cKFOPXUUwckMEEQBEEYKurq6jYbXm7t2rX4+9//jqOPPhqm2e8b1wRBEARBEAaEPp2VbE2F/+tf/xrvvvtuvwISBEEQhKHmuuuu2+L0p59+GvPnzxc7vSAIgiB8BmKnHzoG9KeF008/HbfccstAFrlFVqxYgSVLlmDmzJmbPbv40UcfYc2aNSXTYrEYDjnkkEGPazhQspp2lqeETCVy0xAx6VclT6TTsZ4WMkk2o4Q9eroNTpROUPUCycdCLOIpD5WK0KyAiRm1JH2pjVDz8RdJ7pJ1SeJhJptofYEoB1lARbAMABC0aV49Q4Ii1wxw3CTQMfwxxEHx2hoLhTg2JZdTWI6LrjxJdOqjVI5PJ+lIB88b8VP9KOne6FgQQSUm0WhaN4t/oixaU4KdsqCBRIDrkG8NMlYuo5WzwMQMdAIAKnwhaBmS9RgsXHJCJN/JBsq5DqlXUmK9QCAA06F1KxmQkoE5qu64jM6CA1MtxzIw5fvxbzIdxaJXb90Wxa3ubCrj7RmXCHIZtGxTuoiJPo7B4H1RWY+NURI717JQ6KDt9sVoH+U7aduzn7xPYU8/nJei9ew1KoGuDC0/sTrC66Z4N6TzJetJBEKwzb4NtyHsOBQrJ5R8bskU0c0GyyC31TUshlLSRiXq8uma9/7IydVDEe5WOfroo3HGGWcglUohGo0O2nqamprw3nvvYfr06Zvd7bZq1Sp88sknJdMMw8Ds2bMHLZ5hhUVxSmgX0FjGxlI1X/tqL685TSvpuwALRJUsNEn9sBuvgVYg2ViE82OEO0/VxqJ+6ndHx3yIWZ0AAD3TBQCwE6MAAGY7nVc4/lBJqAHTDz1L86pXFT9y9NlNkFAvlk95cjc7Tj6hdof6uqInnuvJc9URf8m6OnPct7O4LcXHU32MyvAbmncbqhK1emI4piJEnwNWGi6L97CcBG6IlfO2U36OBqn+tXQXDM7rTqSC46dHS9Is5AuESSiopHiupntiVpfrzOHyVF7LarR9Pq2nT1D7VdWyVuD8wPvVjVV5daiIaJRbRseoPFUHbVw/tYAnlFV5zSnkSspQOc1KZ6FUtC5fSST/TT9OJfY+CgDg53OIXcop/2ULNipCvC2cj1d2Zks+R330faR0dwgjDP/EaQAApdz1jdvd6xNU/9TT3nmuEB9X3D9ohSx8tbsMUcRDj9jph44BvYhfsWIFCoXCQBZZwqJFi3DjjTdi8eLFWL9+PZ577rnNNP2/+tWv8Pjjj+MLX/iCN23ChAk77UW8IAiCMHi0traiq6sLRf7n2EDz8ccf4/rrr8crr7yCxsZG/Pa3v8XZZ59dMs+jjz6KG2+8EQcffLA3ze/377wX8YIgCIIgbJM+XcRfeeWVm03r6OjAY489hjlz5vQ7qK2xevVqXHTRRZg2bRrGjx+/1flmzZqFRx99dNDiEARBEHYubr/9drS2tpZMS6VS+Nvf/oZZs2ahrKxsUNa7du1aHH/88fjjH/+IWCy21fkmTpyIp59+elBiEARBEISBwB4AO31/l/+80KeL+LfeemuzaeXl5bjmmmtw3nnn9TuorXHyyScDABoaGrY5XzqdxosvvohEIoHdd98dwWBwm/MLgiAIn28WL16MdevWlUyLxWI466yzMG/evEFb71FHHdWr+QqFAhYtWgS/348pU6YM6q39giAIgtAXHPTfLi+PxPeOPl3EX3/99Zg1a9YWv3v55Ze3+t1Q8eKLL6Krqwvr169HJpPBPffcgxNOOGGr8+fzeeTzPc/lJpPJoQhTEARB2EGYN28epk2btsV/+r799ttb/W6oWLZsGS6++GJ0d3dj7dq1mD9/Pi688MKtzi95TRAEQRB2Xvp0Ef/FL34R7lZuddjWd5uypV8+NuXQQw9FOBzudWzHHnssbrvtNiQSCbiuixtvvBGnnnoqpk+fjt13332Ly8yfPx833HBDr9exIxH3l1pSPm0jWUtV2ITOUh2zZTl9ybIw18fSMCVT84eQY8GMksuEQK+VLLYL+0ikE/ObqGOhXSDdwuXRiW1ZgFU0SkDHcp8uswwJK1kSi9PdSfOMJUmIo9M+9hWz0Hg5wyIZ0foCxZAtUrmqeVm2gw3pQkncStSmswSnKqyaOIuRNCDJ4qCxMV9J3YWLKSqf60nLdcM1SUyS40NFr9uNYmNpklYgeY3R1QQ3QMI2u2IctoQnoOPXouOiCHpvORRLMULLsnMPEZa/xQ3Nu73I79J+Szu0TwzeZq9e9B4ZkruJ4jPEkqM4/5s0x8I/Q9MAlurphTaembbH6aLPGn9200l0LFkLACjfbSwAILOB2lrh1Q8AALt8m9ajRGaO6+Jre9SWxKJkiWNYsqdzXTSnixgVpVh6f+QLOxq2j/ZemoWOPt1FQ5L6JyV74uaHyZXUtoLcPmfUJzDUnHjiiXj66acxadKk7fpuU5R4dVvst99+22W7nzlzJlatWoVRo0iy9vDDD+P000/H1KlTceSRR25xmZGc15RYLRSittPiUG6p4dygZzpgrfoYAOA6nC8SJFbTbBZwskTN8Uegqb4tTwLOqI/aW0//R68xqxNGFwnclJxKy9EyKl8qipUTAQBm+yo4q0gMV0zTvL6pM2mRQKxke6BpXgwbXLqTIsvHh+rflaz209a092vWpnmtkrcnGqDjRYlb05bjCWf5EEPYKv3njZZjIWAgioJJ2xgcN4O+5DiVXE7vpPMz1zBh1U2l74p0DGdYaGfqpceyrVP+LBRdFFnalwtNAACEOJ8psWCQY8w7JNoDAJulrjpL8Rx/hLedllFCXtpuqrswC3n9nPpUDuTQANeBy6JCJUB0s7SM7qP6KqZpu9o/Xu3lta6VlOeTa+gxm8SZVFyWRZw+FtwdvVsNLKc018ZYlqjy/oYMtZ9dohqEkYum03lXYNKeAACnqxXOhC8AAIxkM83Ex6evbQUtk+e2NulAmm+ogh0mbMf1+rH+lCF8NgMqtuvs7NzmM32b8s9//hPPPPPMNufZa6+9tusi/phjjvHea5qGa6+9FnfddReeeuqprV7EX3XVVbj00ku9z8lkEmPHju31OgVBEISdE9d1kUwmEY/HezX/66+/jj/84Q/bnOfmm2/erov4Qw89tOTzaaedhrvuugsLFizY6kW85DVBEARhqHEHwE7f2x+DP+9s10X83Llzt/geABzHwQcffIADDzyw1+X9x3/8B/7jP/5je0LYbnRdR1lZGRobG7c6TyAQQCAgQ1oJgiB83rjsssvQ1NSE5uZmXHbZZSXPmruuixUrViAWi6G6undD3Z188smev2UwqaiokLwmCIIgCJ9TtmvEStM0YZpmyXv1F4lEcOKJJ+KPf/zjoATaGxzH2ey5vw8//BCrV68uGXJOEARBEAAab900TWia5r1Xf8FgEEceeSSeeeYZaNrw3Qbb0dFR8rmlpQVvvvmm5DVBEARhh8J2B+ZP+Gy265f43//+9wCAqqoq3H777YMRzzZZt24dFi9e7A0D9MYbbyCXy2HSpEmYNGkSbNvGzJkzccopp2DatGlYs2YNbr/9dsyaNQsnnnjikMcrCIIg7NjcdtttAIApU6bgnHPOQWVl5ZCuv7OzE6+99hoA+kf0hx9+iKeffhqjRo3CnnvSc5ff+MY3cMghh2DfffdFR0cH7rzzTtTW1g6qNV8QBEEQthdnAG6n7+/ynxf69Ez8cFzAA8BHH32EO++8EwDwla98Bc8++yyeffZZzJ07F5MmTYLP58OiRYtw77334pFHHkF5eTluvfVWnHrqqdD17brpQBAEQfgcceWVVw7LetetW+fltcMPPxwff/wxPv74YxxxxBHeRfw///lP3H///fjf//1fhEIhXHDBBTj77LPldnlBEARB+JzS64v4k046CQDwyCOPeO+3xiOPPNK/qLbC7NmzMXv27G3OU1FRgR//+MeDsv4dkWSBjKgJg8yniSDt0mTeQRVbXZ1IBQDANcjYqizqLn8Px0Yk2QAAKJaNAQCE0mQkrwzRsu0kboWpazD5rlJlv3ctMrQrA68dIwt5GrS+dckCEmwZdjcxuCqzfVpjQ7nWY1v38XqCyj6s03/mGpJkrV3XnYNPL7XSq+2P+sn/qczYG6PmDWmlFn3Noo102SzqhMvRllfL0DyBUHnJtmpNS3kGP9xwGW0/23WVXdPP6wuC7cZFsifDDCHLht8iz2vxazVb9UM8pFW+uxMGxwnD59XVxq8ptu4rU3EsYHjmYGVDVf/cjLOYX9NU/bmAsv+203O2eoREXm6RTcVR2r5Cewuq954MAOhaRvbiYDm1pUKS2oKvZRnVV5yMxql8EeVBWmneVjZmikHZe1e0czvSNOxRVwNhZGKvfAcAYNRQG1m8gY6r6ogfY3kkghB3IodP6t1z5oPFxRdfjKamJtx1112YP38+mpqatjrvXXfdhdra2q1+31emTZuGp59+epvzhMNhzJs373Pzy7sbotEJjPY1AAB/5RSazsZ5N9cNPUZ9sebn3BHh73j0FZf7M6PpUzjVyiRP5SWq+DPnnyzb6bViEW6S7vTTfJS/TD/lOSdCd2jYUWqzjWnqz8cCwKZ5jXNtMV5HZTnUN2uuA7A933TpGIhyH92QpH62KUVJx3ZdL1eVe6PE0DalCj2jrQA9I3tsPI/O61EjqCjbvhOmemu3dPi5E/ZHSbKo5/hxxOaV9KpM7pXjvdEmHGW055Xr4Lrj8wCLvwd6clFB5TWOLRqmeQpdVNch9ORdTSUp3n8WP/Vp8Qg2UScDjUcKCHI9q3n1FJXni1H+UIZ46CaKTbTvdR7FwClQv6TakbWORtupnL4LuteQlT5YTnGmm9kuvuZ9qq+xBwMAUgWKw9ADcHh/5thcr/La+m7anwEeQSdQWwFh5NH1wDUAgMBoGkFIP/A4+iLXDXzyCgAgv4ZGJQmfeNWQx7cjIXb6oaPXF/Eby342fi8IgiAII5FwOIxoNApd1733W0Pu5hIEQRCEbSO30w8dvb6Iv//++733Z555JmbNmrXF+V5++eX+RyUIgiAIg8wtt9zivT/hhBMwbdo0BPnul415++23t2v4VEEQBEEQhMGkTz8tfPGLX+zTd4IgCIKwI3LiiSeioaFhu78TBEEQBIEQO/3Q0Sex3dbo7OyUXysEQRCEnQbXdZFMJhGPx4c7FEEQBEHYoRkpt9O7rotPPvkEAI1O81nDyL711lsoFosl08aOHYvRo0cPWoyfxXZdxM+dO3eL7wEaGueDDz7AgQceODCRCb1Cie0cFrhUBKnhL2vPIlHPArtyEnFoLLpJuiSDYVcboprjidp0FgfpLKmJOSR4cUMkimnP2tiQJUmParZKnKMEcYjTgdCWofl8ug49T2IYN07laCGWprFcr1hUYjeA3XQIOBkAQGWRBDSdPhbyZHsOoiDLYsI+UrcpoZ2xifRNHZsJn4lEgAVuoHj1LImLtCIJaDSWHempJCpZYqQp+Z2a11LGO5YFltXDNf08L22LzyFRkdGxnsunzw5Lm/RYGCHeVpulOCpugwU9CI7hzy1wfCTZUdInv6EkR1TPSgiYYHmQTwM0m+ouZ9CySpznNwx+pc+u68LhfWHwNoFlTK5F7caIlVG5NaNgd1C7cCzaF0pol9pA+9lJdVL55RTT2EQIFsufAhx3a4aFeSxlUrFVhQf0f4vCEKPEYr7mTwEAhjYBAJAu2Nitgo6tKB/bwPD/0/eyyy5DU1MTmpubcdlll5U8F++6LlasWIFYLIbq6uGV8H2eKPioLwqwlLUsQ7LNdLQeABDTNBiVJI1zukjC6glcTe6/ua+21iyBj/tmdVpodqwFAISrJwEA2EWGDn8lqmIsHuN84Oa4T+N5mwomL6NkeAUYE6ZRuZzniiyPU2I3lbKiPhOBPOXaSptekxHapoxF/W1go5wW5bxeFlR5jWVym5xrRrnPj/t1T9CqZzvplWV1Nh+XRhflo4p4nWc61fJ0PCo5HXwk0nMTJHJ0AxEYDucBzgtGd3NJDC7npwJLaoOmhqJDgdZEqP6NfIrnpnl1Fui6vhDcYLwkhqxO5QQ4Kfo5n2qFDHTeNzbLBpXYDjrVk8rlRsDXE5up8lqphFAPUx8UHU9nNPnWdhg+qvdcB8WSZ5muyzI8Jd2aUEbb0Z61vHORFR1Ul3VRWp/Kc/UxGUliJOOvpnPX7MoVAIDwwXye4g/BzVO7yDTTeVt46MMTtpPFixfj+OOPRzJJ/WM8Hsdjjz2G6dOnb3WZI488EjU1Naio6JFTnnfeeTjzzDMHO9ytsl1ny6ZpbvE9APh8Ppx44ok455xzBiYyQRAEQRhkDMOAaZrQNM17v/F3Rx55JL773e9+5n/pBUEQBOHzjuO4cPppl+/v8tvCtm3MmTMH++23H/77v/8bAD0yN2fOHHz44YcwDGOry95yyy2YM2fOoMW2vWzXRfzvf/97AEBVVdWwjRUvCIIgCAPFbbfdBoBupzvnnHNQWVk5zBEJgiAIwsjEGYBn2gdzhLmXXnoJS5YsweOPP+79c/4nP/kJZsyYgZdffhlf+tKXtrpsa2sr3nvvPYwfPx7l5eWDF2Qv6ZPYTi7gBUEQhJ2JK6+8Ui7gBUEQBGEn5p133kEkEsHUqVO9adOnT0c4HMa77767zWUvv/xynHrqqaivr8fXvvY1rF+/frDD3SZ9fvg0k8ngtddew5o1azZ70P/ss8/ud2CCIAiCMJQUi0W89tprWLlyJfL5fMl33/nOd0RuJwiCIAjbYCDFduqZdUUgEEAgsLlf4o033oCzie9iY6LRqPe8e3t7e8lz7YrKykq0tbVttYzbbrsNZ511FkzTxPr16/G1r30Np556Kp577rlebdNg0KeL+H//+9/4+te/jlQqhc7OTtTW1qK5mSQn48aNk4v4IaQ2QrvQx49rtrJ0Tt/o+U2D5THFGIk5lLZJCdhsBGD6SdBipFpo3gRJXjSWyqnSon4dKU+mRyV5YjiWvzlmgOelWDQNcBwWWNn0Dx83TlKigkbxN7P8Je43PHkPbJqmhDR+Ftyogzto6Aix0E7JgHxs/DH5NeqnV5eXSegWNJaQaCwhUtuoJHtKDOSa/h7hX74bJbBAB+EyiimU8MR+ZicPRaVEf60kUdJCLBqM13r14uNt9LPMR8nvjG4Wx7GEyOV9BwBageMOlZXUS5BflbjINQNwA9GSesmywUmJeZQgSZUBAFqAtSwsC9IjtO+0SmoThmND8/NY2h+uBABkWknm44+QSKiw7H2ad9whAICaqM+TPHXnqQ0kArTvm1K0zTmObWNxoTByWH7RSQCAsXOOowmT9gUA7BKgtlJ0XERtElv5y2o2W364aWxsxJFHHok1a9Ygl8uhvLwcra2tcF0X9fX1mD17tlzEDxGBJPVhejv1nU7VBAA98k6tmIfVsBwAYNaxuJXzEECvDktatXAcdss6Wn4c//Kil96EGGYxXGfOhhPgPKBkaUUSutncl4agBHScj5CAq/OpVJwkdXkW821IFUvm1f0aXIPmVflS5Sol9lT5LxEwPVma6r9VNx3nvlP1qbEinehq3TkvH3tiUiWr5Xzn9evp9p78znlHfaeFSZ5qs9gVVg4Gl6u21VsPo2R+ah/5nQLKWcyn8pnOwla7k/YH/D0KMC8Ps5hQ5TOdZXg6i/Q0Kw9X7SNexgmyLJbjd9U2bpzLOf+q3KVefeN2K9mOUCSGzuUUX5FzUSBO5zTFddTm/JOOAADEePvCPgMb0lSHlWE6X1nWTjkxz3ltTRfFcjCEkcSze84EAOz2rb0AABXTJwMAjJVvAQC0RA3yzWsAAFXzfjEMEe542K4Lu58X8Wr5sWPHlky/7rrrcP311282/49+9KPN/vG+MVOnTsV//dd/ASCH25bmzWaz8LHUc0uce+653vtRo0bhpz/9Kb7xjW+gsbER9fX129yewaJPF/GXXnopTjvtNNxyyy3QNA1NTU1YvXo15s6di6OOOmqgYxQEQRCEQeX666/HXnvthX//+9+YMmUKnn76aZSXl+O8885DOBzG+PHjhztEQRAEQfjcsHbt2pJ/nm/pV3gAeOGFF3pd5vjx49He3o58Pu+Vl8vl0NHRsV15vq6Ofoxct27dsF3E9+mZ+LfffhuXXXYZAEDTNBQKBYwfPx4PPPAAfve73w1ogIIgCIIw2Lz99tu4+OKLYZomdF1HoVBAZWUlHnroISxYsACZTOazCxEEQRCEzzHKTt/fP4CGftv4b2sX8dvDYYcdBsdx8I9//MOb9tRTT8F1XRx22GHetDfffBPr1tFdOVvK/wsXLoTP58PkyZP7HVNf6dMv8V1dXd7zBNXV1Vi3bh122WUX1NfXY8OGDQMaoCAIgiAMNp2dnZvltT322AOhUAiRSATt7e0Ih2UEYEEQBEHYGjb6b6e3BySSLTN+/Hicd955OP/8872L80svvRTnnXcexo0b58132GGH4corr8Q111yDv//97/jDH/6Ak046CbW1tXjxxRfxs5/9DNdccw0SicQgRrtt+iy2U8yaNQvXXnstLrjgAvzhD3/AtGnTBiIuQRAEQRgWZs2ahVtvvRWRSATPPvssLMsattvlBEEQBEEYOH71q19h991394ZO//GPf4wf/vCHJfPMnDkTY8aMAQDMmTMHFRUVeOihh7B27VpMmDAB//jHP0p+uR8O+nQRf/XVV3vvb7vtNnz729/GQQcdhPHjx+ORRx4ZsOAEQRAEYSj44Q9/6P0S/6Mf/QgnnngivvjFL6K8vBwPPvggDMMY5ggFQRAEYcdmIO30g4VhGJg3bx7mzZu31XmeffbZks+HH344Dj/88EGNa3vp00X8TTfd5L2fNGkS3n33XeRyOQSDwQELTOgdwTTZ5F02uNflyBhbVT/Os6TbbDY3sp0AgEKAbv1Qh0iu6MAXYHv8yvfou8qJAADLJGt9V4YsrYauQcnjnRDZaJ1oFQBAY8O6kSNTbswf6wlUiSDZzFvQKd5WLjdnkcHV0DTUhtgo79niqVyeBTURv1esMporw6+yDCvreoANt4WN7s1xDVpe09lsy1Zdb31FCtbVzR7jPtuMlenf9ZW2ddcf8ezIupqH1+Oy1d32ld6Ka3Y19hjslVWXTcLF8jEcS4HLMgG2AjscZ5GfGQoXOktj4TJcX8gzFBts8Y1iUzRvW7tJwozo6D0BAIGG92gCD9tRXEbjZ7qFnDdigO6jmCK1kZLP2UYyCVcGdS9WHkgBITYu27zpPt5HyRwF0MYjFQgjg9SfbgQAjDrsAABAcQP1O8FR1IfUKTu21Q29i0Z7wA5op7/kkku891VVVfjXv/5VIr4Rhg69dRUAwOWRRIqvPQkAiEw7EABgrV0Ks4qkQsUmMkP7xtJziS6PjqKM5UasDJn3XwcAhCeSYdqJVAIA0jbb7jkbaprWkw/YNK+xHd3ItAMAYmH6R48a4cO1ek6jVN/cwaPEqNFAHO5nzUIK4LzgjdTCJ6v10dJ2lrFsz2of85fqi0xwvjT5H0s8oIerm3DZ+K4s8iofqO1Q38MpwvXROo2uJq4zztmcl4o8Ao1p5aDlaIQWzSR7s80jzCjbvtr2UIaHaDL90Bwy4ucjZLk3ud51HmEFDteBP+LlQItHrAkkKSYVo8v50w3EvBytcpPB8yp0lbd5e5xgAvpu1Haw7A2eieou/8GrVK7No+kEQjA4j4WraJ26n+fdQOdblbyr8l770aBptF/bMzyaAe/XphTF2sXTsReEEcCKS04BAIw9hG6vzm6g3JXhcxvoNAJPZl0j8h10bMnDVsRA2umFbdMnsd2WUBfw++2330AVKQiCIAjDhrqA/9a3voWGhoZhjkYQBEEQBIHo9zPxm/L2228PdJGCIAiCMGwsXrwYuVxuuMMQBEEQhB0ax3G9O5X6U4bw2Qz4RbwgCIIgCIIgCILw+cIegIv4/i7/eWHAbqcXBEEQBEEQBEEQBGFwkV/iRzqr3gMAGHW7AAC0LEnl/KlWOOEymsZCmkyQhDwht1hShGOYsKMsnhk7FQCgs0yu2yWxXYiFcSFTR2eOBDCtRRLc+FlMVp4h8Ydmk5hMee0cfwQOi/N0Fu8pMhbL2XwkjgmaGvIuS95A5Yf1UlGMmjdXdBBj4Yz6LmOViu5UbIqCEYCft98NkLSnWycdCTtyEDdYclTMbSTBY3kPy3U84Z0vxBtpe3XmhEiopLYZLMVTYjqvzEIWrp+WV1I9JfcBWOZjskBP0zxRUc6hbQppvB85cLU9StijZzqgsUBIY4GQw6IitV4Vo5FuQ0IJj1gsZ7eRLKjYso4+d5GwyIjEoAcp3kA5lRdzaulzGX32x+l7/9p3aD0Ve6I1Q+3G4njVq5IbWvyfVxGa7PgU2tfDaFoCADDLqe9wC3S7uVFO0jqnkyRQOovC7A9fBqpJ8ij/PRa2RfbfrwDoaVvFTpLK5f/1OAAgUFenXG4wJ9CwtnbzKgCA5qc+U2f5plY1BsFJlAN1lo8WKyYAAEIsnFPiT9f0oxtxmsapI5blvGaRoExjIZ3O/bwbSngyUyWEU0I7lX8iLPN0fCEUufX7OU+qH5yUxE7JWqN+A6orVHlNY6tslPOeuuXUy69WFg6L5rJ+jkDjf58AAJdnSURBVE/lTT+XYfG2+oJevEp+p0RznhTQ5m12HW8eJYtTuck1KE+7nHeUvNY1/MiaUV6evrJ524NK7sf509VN5Hhg6ZBNedRjE+mr0bnOk/RpRTo30IKc11iC5+W1FPdBuW5v24odNM3p2AAAyLdTm/Bz7tJDEYRqyqhcg+OtpDahxK3+9Ytpe+LU9loyBU/Uqvbfum6q5yxbdaNBOd3e0bGaVwIA3CWvI1RDeSvXRufUqi1kGqkvClbSMbLhrSUopOlYHj2k0e64yC/xQ8d29SrTp08frDgEQRAEYcg55phjsGbNmm3Os3bt2iGKRhAEQRBGLrbT/4tw9U8xYdts10X80UcfPSDzCIIgCMKOwKGHHorW1tZtznP00UejvLx8iCISBEEQBEHYNtt1EX/77bcPVhyCIAiCMORceeWVwx2CIAiCIOwUyO30Q4c8pCMIgiAIgiAIgiD0C7mIHzrkIn6EY634EADgZ5mPavbWyg9hjt4VAGDUjKdpfhLbJYss22FZXczq8EQ2SlpTZAFaeydL6ljQEzJ1xPy0XLZIa4uZbsmyOgvuPCGNbsDIdtJ7Fs5kWdTjYNMDVfMO3ohmlcTiK5Y+JJMImMjzgzMNXSSRmVYT4W1jsZ3D8fN6tFzG21awkCdboDIqQnQ4aAUWF2VLJXwUcKkUELzNWj7liedgBviV5D0OS+uUXE4rkiwIugGw4MeT3bEcz1s3i4ycUJm3SiXtc3SKX1dSIq5vTS1rW165SqrnRCp4O+ySZZxA1BPiqXmNGK+zkWUvXNd6WQ00H0sNY7RtZpC22V9J5afXkAzPv4bkZ3Xj9sXyDtpHjd20/TNqab+u5X3XwtPbUgUIOxbWhlX0RrWbQAROxVgAgM4CRKebjnubhVFujqSKJrcrq3ktfBOmDlHEwkimcwk5CCJ1GQCAbVEuaHl3KQCgcloa4fpOAIA5ntqUNnoyvbJ4zllP82qxcsCk/sphyWIn9/lBzmthFqVFwuVI2zzNIqGV14cqgSiL25R1Tk+3ev2qkrL69NJctfGnQKqZFmeRqJLG+jknjktQLrdsF5052pa6KE3zFzk/dNKxpo4tJTB1ggloNudNk2RsUTfH81BdGt18fJoBbxtUnlHLeqI8lUtcx8tvrpezuE41isHkHA+uf00vwmTRnN+i+MBSPZ3jteN13uegypOcZ5R8VYn4PElrPrVRrqJ5bd6vKse6Kvc6LGsFPImekaik77ifcmzq00yWbmqBEMJ1NI8StAbq6btCcyMtw5LXylqK4811WazppH0zvY7qvZHz2ooWintDkj7/6EuTIOwYFNrXA+iRVip5or7LDCQ2NAAAQm0ksstsoGPOsaiN5Tu6vXLGHrbn0AQsCJsgF/GCIAiCIAiCIAhCv3AG4Jd4R36J7xVyES8IgiAIgiAIgiD0C9sdgNvpZajhXiHD9QqCIAiCIAiCIAjCCEF+iRcEQRAEQRAEQRD6hYjthg65iBcEQRAEQRAEQRD6hVzEDx1yET9CKbzyFwBAcO9DAQDF5rUl3+c3tEALklnVnj4bAJDJkIW1YNPBsaSNrKnTaxIo26T8HJvgK8NkX+3K07LZooPKAplZg9EaAIBeILOvHSZDr2uSSddh+66vbaVnPLf5O42NtlE28zaykTxd0JC1KL5dE7SMzmZ5ZchXdvaKkM97bibP8arHaII6v+FtdZUx3nVg8VMkmk4GW5YBw3DIzKvs7nqmwzNsu2yw1RK0zS5bd/Vct1e+MuOiyAbeHJWjsV1foay+cGwy7QIw+NUzzFtkEnYild4yLht5Xe7cdGXttanulH3YqwTd6LHP+3j0At4PmhcM2319Ya8u1XdmuIzj5woCbY+bScLu7gQAZFvI2BrblUZAcHIUQ74zVfJZc11MLKdyVNuyeN980kR12Jm1vDq66LHFAIC7vjUDwvBhtawp+WwkyURfrN4VVoKMzf7wJwB67PRGOR0jymSfXfwaAMCMJ+Ckyfgtz3EJWyL955sAANVfPBgA0PLSIgCAplOLSTdTf+yPN6P8S0cA6DFKq341HakFAES4z0NyAzTVd3L/V66RjTrlcr8Y4BFQNixFtGIcrbNI/arqg9XIJC5bzs0OPjZsG06IRjxR4vqAQfGqvFlks70OAzUcl7Ku65ybgrxwmHOi4e8ZAUb1yXqOjh/V5zsmj46iRkbxBeFyXUVRmhf0NFm2ixv4XMGxobHF3Sivpmlchyp3qZFc9ELaM3h7+T5ERniDc4jLuQa8ftgFBDg/qjyjq7ymRojhnOMaPrjKkM/xqpFaVD15GD6vPDfKo62o/avyJ+87N0DnQOqcBABMttOrZcwQ1b/KVW5XGzJNdI4T2303mlak3GTnuN75vIBTGHaviqIlQ99ZbNd/cyXVd3eGl+Xpx9y7CH8/72AIw0ehk0YmUO3E6KYRI4o8IoJdNgaaj0dh4P0WrqH2XkjSvm948QOaXhnxjPWCMNTIRbwgCIIgCIIgCILQL4qOC6Ofv6QX5Zf4XiEX8YIgCIIgCIIgCEK/kNvphw65q1EQBEEQBEEQBEEQRgjyS7wgCIIgCIIgCILQL5wB+CXekV/ie4VcxI9QnDQJYyxrFQDArKoDABRbSTylGTrsDpZ3sBYn6qcbL5Is22lnkdiKjhwCBkledikrAwDk2diiJDuftpJkxqcHUMHCOiWCs1kKZKRaAQCFMIljTCWtMYOekEfJhwp5Jauj8suCNL0zZ6EhmeN4aT0B0ynZdkN5c1wXrSyNqY34S+ZJsiPNb/g5FnAsISTzDn9H9RLXCvxlqXyn2LwGxYbltN0TpgIAtADVu8bCHk2JUKJVPStnuY6S7OgsyvNkPCzb0ewCoIR5LE2ylUSJ41YSpYytoWjRvAmuDyXF23S9TpikQbYRgGGTjEgrspSIZUGe4I6nG4YPur5Jd8CioU2lPnpXG3JttE3hOorXTlMsSgJjBEv3h691GczILhQft4t/Lm0BAHywjsrq7KL9Pqo64okKheGh2PAhACBTPhEAEOkiiVdh2fsAAJ8/AqOL+5pYGQBAL9D+MyupL8q+/Rx9zwesne6G+8nbNM9eRw32JggjECWIstuobZXtNhYA0P7BSgBAIEESMtd2oMdINIU8y0cjJDlrz3IZMVo2VDEe/palNI37ayVP6wLlnUCYyjV8AU8a53L+0Vl6ZZeT8A429YdKlqalmzxJmpLGBk3uO11q++0523sNx+IUV4iPCz5ZVfmSva3oLjhe/tW5L3bCtM2azbJUzikOC+qK/ih0l9ZlpFp4Hreknhw+L8iuXo3I9C/QNBaVqu3QI7SNnoAOPTJXlav0POdAFt4puZ+W7xHRKfGrHWMhrJejaDssjXJOynJQYVMOUTlp0/2gzh1cf7gnp6r1cCwOS2Q1tY94WS2fApRQkLdDCfisNJ/bZKl+iqkUIqMoXnWepYUoZ/vLSiW1iWInvwsjlaN6eWJ1IwCgqYm2p7OFyo1VUNvLZ0WCNlwUWhsAAKkA9RVxm9pRYcm7AADfNO4frCzs+gkAgAC3Z6OaRK6d//gnACBSQ1LJXEcanUtIFlk92BswQrBd1xMl96cM4bOR2+kFQRAEQRAEQRAEYYQgv8QLgiAIgiAIgiAI/ULEdkOHXMQLgiAIgiAIgiAI/UIu4ocOuZ1eEARBEARBEARBEEYI8kv8CMU3eW8AgLWUhBwOS1mMclJrBMb2yGX8a1kmVTMZABANkARn/1Ek5ljSlkV1OU1b2UkymXigVNSjxDrJvI1Olq2FWVKTYlFeOUtkTJBsJ11kcZxuwI7XAgA6WTjHvh6vfCWrGxMPYFk7iWa6uNx8msqLBymmkEkzdwDIsOxNvVoONelszimZty5A3ztmwJMORcGiNk+6R8sq6RscB3o5CW6UBMfNU2xanER2jpLkuK4n3tEKtC+U8EeJ7BwlrWPMlmVwWQbmhkh25AZpnzha6f/XQj4dRraTys2UCn+cjeR3QE+d+lwHIZOFTao8FiEpeZAnw9N0Tw7k4bB0zx8smazpBgrdJIZSIip/nLexwJ9jLIUKx7zlgiwSLGeJYYHlde28vxVNbRnk0tRQjrv/NQDA42cfCGFwyXd39sikEiTxUZItr51wP6MVe/oXJcUy+Fix6kgC2f7hgwCAQjctUzZ5LHJtdKyFB2kb2roz6Oa2KYw8QjPoOM999AYAoJimdpaYRO3RylBfoft86H7xHwCA2CySJLprPwEAjJlyMACgzaH+NmLlUKyYAKCn33MD3G9z15OxqC/yxes9cVvWpD4trAR23K/boTIAgJFuAwA4ZaOQdqlPU7JUJYZVjI7R902pIjrzPZI7AIhwMoyxeFb9AJUqFOHnnJLlvlLltxCL7MLd62l7WNinuzaMbhLXeXltE6Gb61BZgZoeGavLfb3BkkrXHymtLzMIvcDiOZXXQlRusWoUTWeZnNFKQj03n4EbKefyOFcF41wGVbzBnysLbd40lX+dGJ0zOByLo1H+N4o5OJwnNaunH6IYWFK7Sb7TC2m4vF+VmFBnWZ3GuV3zcV23dCBYye0hGuFt4bzP9W4kWOjK6wmaOsaV0zZ+yKLWjmaqL2XZznZTbPmshf2u+z8AwFs3fAXC4JLLcM5yip50OV9gybBqa5zXlATSNfxwc5RHlNBOn0J9U+p3/w0ASDbQ+VKkNoKWj+iYmzxI29CdyaI7k/3sGXcQ5Jf4oWNE/RL/3nvv4bTTTsOuu+6K3XffHWeddRYaGho2m+/BBx/EXnvthbq6OsyePRvvvvvuMEQrCIIgCNtmxYoV+MEPfoCpU6di4sSJ+Pa3v42PPvpos/n+/ve/48ADD0RtbS0OPvhgPPPMM8MQrSAIgiBsHdt1YDv9/HNlhKLeMGIu4m3bxllnnYWjjz4azzzzDBYsWIDVq1fjiCOOQCbT88vLn//8Z5x//vn40Y9+hFdeeQW77rorDj/8cDQ2Ng5j9IIgCIKwOd///vex55574n//93/xzDPPIBgM4tBDD8W6deu8eV599VV885vfxJw5c/Daa6/hmGOOwde+9jW88847wxi5IAiCIAjDxYi5iDcMA2+//TZOPfVUTJw4EdOnT8d9992HJUuW4LXXXvPmmz9/Pr773e9i7ty52HXXXfGf//mfCAQCuOeee4YxekEQBEHYnGeeeQbnnXcepk6dil133RUPPPAA0uk0/va3v3nz/PznP8eXvvQlXHbZZdhll11wzTXXYN9998Xtt98+jJELgiAIQikO307fnz9HbqfvFSPmIn5LpFL0zFEoRM+DdXZ2YvHixTjiiCO8eQzDwOGHH46XX355WGIUBEEQhK2haVrJ52w2C9u2vbwGAC+99FJJXgOA2bNnS14TBEEQdij6ewE/EM/Uf14YsWI7x3Fw+eWXY+rUqdh///0BAOvXk+Sltra2ZN6amppt3naYz+eRz+e9z8lkchAiFgRBEIRtc9VVVyEej+NrX/saAMCyLLS2tm4xr6mctyUkrwmCIAjCzsuwXsT/4Ac/wH//939vc553330Xu+yyy2bTL774Yrzxxht48cUXYZqlm6HrpTcYmKYJ1936f3Xmz5+PG264YTsiHz4Kry4AAJg1YwEAOttklTVVC/CvN44N3wSyRBdWkbXXr5PdVdnSR7Gxt2JMDD7WULdlydzq8E0ayzvI/mqxbTdvO2hOkWV1ciWtS9nQEwm203eRfyCmTOuBKFxlUE+TITbAOvocLxv1UWztuSJiftqfKTadxwL0OcjLFPk/dIamYVwi6L0HgA3pQkl9jYmzhZgtsppjg0XEcAK0rM32YcNm6y7bd41xU2GwtRfpDnqNsZVeWXbZeKsVc54J1+XynDCZefPB8pI6DLIx3zCDQJHq2y4jw68yIivLsTLSG7lub13K9Fv0RwEABdspqZeiGlFgo3pw2HKs5nF8/pL1aI4NV5ns2W6sjMdm/QSKm+si17AWLq9T95Uee6l1ZCaOjqZREpwMGVw1K48yh977DFp3RZRedY6hcSXVsekzUFlPbaezm/bFw++QwPK0fcZAGFicZfQ4kjt6L+gZbucGHUdmlEcmUGZnhaZ77b3zlWcBAJGJEwEAvmgFACDXRpbmrtUdvIjumbEHi7BPR9E3vDeY3X777bjpppu2Oc+CBQs2+2UdAO666y488MADeOqpp1BRQfWoctfOnNes1x8HAOhs/faN3hUAYCTbSuYL11FbKpuxB5pfIoO9L1Z6N0KolnJjdYDbnZVFbvQXqHxuG81ZlUNoGZXDVuZ01IS5f2UjfJjzppFspvLy6ZL1uWbAs9Gr0RzUr0hlPKLKhgznPVMDd52Iso0+YJSOKqLKGB0LwOJy2rM8ugpUvtS9ddMXbK+HDp0t9MXweI43xfPwyCETp9F004diWxNtW0VdSXlqpBY9S8cwNhotxeZRVpwo5cKCRvMG1Ign3C/YXW3QKsaWLK9ymNFNdamnKF9oqXa43G/ALM3ZOlvrwZZ6Kpz7I85JamQYlRtRLJTM5/pC0HO0LW6A8qZZOw4AEOYRYuw05SczHISvrIxCMHiUnjZqh4HRtAy4TahtrYuayBcpFrXv1e3ArUvf482hZRLj9kA3j8hy+f/7EADws29MgzCwOCveAgDkavYAAIStLDQemUnd/KRGAzLraL/acRphRStkYTUso+/q+fqD22O4JgEA6G6k4ypYFoIxyDnH0DTvHHckUHQArZ+/pBfFa9crhvUi/vbbb8ctt9yyzXni8fhm0y677DI8/PDDeOaZZzB9+nRvek0NHYCtra0l82/YsMH7bktcddVVuPTSS73PyWQSY8eO7dU2CIIgCILiwgsvxNlnn73NeaLR6GbT7rnnHlx++eV49NFHMXv2bG+63+9HIpGQvCYIgiDs8NiOC12GmBsShvUiPhwOIxzevhGDL7/8ctx///145plnsN9++5V8V1VVhYkTJ+Kll17Ccccd501/8cUXMWfOnK2WGQgEEFDjxgqCIAhCH+lLPrn33ntx8cUX4y9/+Qu+8Y1vbPb9AQccgJdeegmXXXaZN+2FF17AAQccMKBxCIIgCIIwMhhRYrurrroKv/vd7/DMM894z8FvykUXXYT7778fr7zyCgqFAubPn4+mpiace+65QxytIAiCIGyb3/3ud7j44ovx17/+Fd/85je3OM9FF12Ev//971iwYAGKxSL+9Kc/4YUXXsC8efOGOFpBEARB2Doiths6RozYrq2tDbfeeiv8fn/JrYYAcPfdd+O0004DQLcytra24phjjkE6ncaECRPw+OOPY/LkycMRtiAIgiBslcsvvxzFYhGnn356yfRLLrkE1113HQDgmGOOwa9//Wv84Ac/wIknnojq6mr87ne/w+GHHz4cIQuCIAjCFpHb6YeOEXMRX1FRgY6Oji1+t/Et+Zqm4cYbb8QNN9yAXC5XMkzPzoDTRYKVPAtplABIj5MUxo7RM5LOh6/D6ab6cnMk4nG6O+lznCU2Ou3+cLIJmpUBAJQF6ZnJCMvXMmyBa+om+csbqzpwwl4kYfuohZY5eAzJQTQlgXOVOY4lNpkO2PF6AIDlULkF2+bPdKCGeH1VIRNps1TUpr6L+Utjsl3Xk8V1FFgQx8f9tOpwybIFloJkLQdZtfwm4oy4kp7EqH580SpoBao7nWWAqs6cEMlNwEIdo2u9t91KaJfVWZjH5Ud02mZ9Y3Ecy+M0FvEEAlyGy0uxTMUNRL36VDHoLDlS26wkdSabkXxGjwhF1Zn6TnWQWX4Nm7onCfL2n5IRsSxRSaf83Z2e2C6zgUVTu1G7CddRO8yy1Cy0K/3zzFr1EXSul0VrqE6XNpMYxsrTegNBqktf0ECqk9pbiOV367qyEAYXPd8jT1Sv5voPAPSIo3xjJtHMtgW7g6RUwUo6FoxKOm5aHv4NAKBqT5q39dNXvc/x7944KLGvaCUp1aiICW0bsrcdkVWrVm1RUBcMBks+n3vuuTj33HORyWS2+zG0HR2Vq4ot6wD05DXNx/0r9z3u+x978xfT1CcUOqkfCU+dUVKmvYbmtbvaYFaRdNETnmllAIBGlrSuaKdcNnNMAo0pavuTInws2Fbpa5H6Jj3TSWVFq2DrVF6WfWtZtjLFAtSPV4aoz3ZdF9kii2D5O0+oysLP9pzaAhepAvWNBvfbo6N8HKplWOSmxLE5y4XGIlUvf7K8y2ahmx6IcQVZMFgW53J+VMJWJb81WFKrWVnYMRodwebzB5UnArkOnpfOScD5yawZC5eleo6S6qp4tU1uAg3Fe/IN17O7yXmEnuP9YXkV5InJ1H5VuRFBeoxE5W8UekZpgK7yGufnSjo30fz0WfcHUWhrp7AmUv4K8HfqXErNa3bS6BBmbTmeeI/et7O0rpDNcnWwwJVlstm2dXASJH79YF0XhEGCRYshl49514GvSPukMsvnxkrmO3o3AIDDUmM92wWjnM6lfaMmAACST/wOAFA7k0R5TSzbrTtgDyTO2rbItD980pxEXcT0BMaCsDEj5iJe0zSUsTG0t/PvbBfwgiAIws5FIpHYrvl3tgt4QRAEYefBGYDb4R35Jb5XjJiLeEEQBEEQBEEQBGHHxHbcfg8xJ7fT944RJbYTBEEQBEEQBEEQhM8z8ku8IAiCIAiCIAiC0C9c14Xbz1/St+SJETZHLuJHCLmn7yv5rERAnoxMCdBYouIbtxusFR/S+4nTAADF5jUAAH3CF+g1TZI8PZeE6yNRS12EmkSqQBKN+iiJPyyWanxlag0yFq2zKszCFvanWerGDhbf6BmWh7A8BwDGxmiZpjTJazpZVhPx0bK5ouu9V2IeJbRTArccv3FcFwavcnQ8yHEXOTbaDiWxy1q0THvORnST8lsztEx3gaYr+VvUryMSoOdVAyzZcX38PKrWI40DADta7cmFMiwuynsCI943XD9KvuOGw9ByJOSyIyRu8uRJPqN0XsMHy6B9YYIFJxxTmOdVtx/pG8WmBEtKIKjqQ0nwtI3m1QqZkm3y9h+3Mdei2IzKOqCdhDyReoq7c8laiqWGpEohlp3lVi2n6TP2JZEfgMMnUh02sADI5Pg1rvfymqgnu7O53f3fv0mwVBWh9nP2zPEQBgZ90oH0uu5jT66FtdR3WCzDVJIfm8Waet0u0MaQxDAUKwMAOOkkACDTRPNkWXqYT5JYaOn/vop9vzs426DOF8xPXoCZSg/OSoRBwXrzSU+eiQz1h0o+ptqdFiQpW9lUEt61v/8pqvcmGdWGtz4BAIz/Ag0766S7+ZXaIxwbRgdJqOwykrJGlUg1TKK4ShaV5ouu1zdCydhYfmVHqygWi/otN0QSOLgOqk1q40lQHirYKgdQ/9WVp9eyoAFNo+/MAknflHBOzavykqlrKA9S/5/jfjDqUB/tcE51QLG2s1Ev6tc9cV4L5zUldw3yayhE2xE0NEBTMjreVqP0lNBO1HvbaIfKSuIMaUo8x7mR+3clrdOsXI8AVsGSOnA/o+rWMf3QORd6y6vPPI9upb3P6nzFZhGfrmR4+iantD7OiZmOHiEsl4sQSfHcJjovMlmmaK1dikCI6je3mvJXcBdqa0ruWmxcRZsxgc6tUgUHx+xJdfWnF1YCAPzsZLIL1F7iY3an9Tk2NK7vT9+jvHbaH98CADw8dz8IA4O+2yH02kz7w/WH4GtZBgBwOknKqleNAdAjQHQqxtG8wRjMGdyeWXaX76R2o6S9GvcTq/7vbex11uBth+W4iDe9D3SPnLzmOG6/n2mXZ+J7h9xOLwiCIAiCIAiCIAgjBPklXhAEQRAEQRAEQegXruv2+3Z4uZ2+d8hFvCAIgiAIgiAIgtAvXGcAnomX2+l7hdxOLwiCIAiCIAiCIAgjBPklXhAEQRAEQRAEQegXIrYbOuQifgRgNa+Enw3zBTbOa36yszps83XH0vfKnm7UjIefDagwycCryrDzPZZXALBj1dDYwBlJkS3ViJPFN2CW3qzxwYZu+NgiHgtQ+crEGzOV9Z1t8iEyuXbnbYT4po8wi39Hs4w4xDEsa88BAMpCpmdU72ZDeXuWzLOJAG2HyZtVF/V71nkH9Bow6Etl11ei4RRb2U1dQ4jt9MrUHuftUKb8eFDZ3nvKQZCs6z4uz2Wru/o+6vd5deRC2fPpc7JA26Gs+wGeTytkoOfJUOwqEzybis2uRi6Mys/FR3n2eZOV/FqR9pnGxt+CRsbfvN2z7co9rx4vUpZ63irwpkJzbGi8rp6RDqiNKZOwHiHbs93RgkAVmck7PyXzq5XJYWMKbFIN11EbyH70LmK1ZJT3hcj0W8Zm6AiPWMCrRX1FCOvbyMK8x2iq949WUv00d+chDA7u+qUoNtMoA2btWABA60uvAAAqD9gXAI16AZDF2qrcheZVpuym5wEA3Q20r0bP2oOWCVKZ+/6/ZwYt9moejQI144FQatDWIwwcqQxZu4OjJsNd8W8AgB4mYziKbBuvonaozOKq/VU4DtwiGeFHf5napt2yjpatpNFRlNneLeRQWPwyACAwjUZiiPNoIHaI5lX2eEMHwtxPW7zOIPezToDbOVvaczr15EEnD61I/V/Cpn4rGKPy13XTdgSMnnyh8luKM0GIR//g1aKCO2XL6THVq/674KMYdO7ZVW5RBEwdFucklW/UPAbnbdPRuHwXUbbPGyoPGdQn5ziXBME2edvy8o8aJSYLijMU5H2WY2u3MtB3t0LXS3OJkWQbPm+zNWo6LWNlvX2s2bRfVe5T5nxV/9BNL1loXI6t+7xtAnpGX9GtDJdZ9EbuURZ9hWonqs3pwTAK61dTeWluo2o9bU0ly9hrPgYAVH1hAhIBil/lM9NPcSfGUT9YVk3xZ1MFJCrpPK15TTsAoC1VgDA46C0rAADW+lXAhCkAgMz7rwMAIvvzeXQ5ne+C2/+aDFBXPgEAEFqxCABQSFJbqpq5FwAg/C6Vu9df/jGo8VeFTNh6LWx0D+p6BhLX6Tl8+1OG8NnI7fSCIAiCIAiCIAiCMEKQX+IFQRAEQRAEQRCEfiF2+qFDLuIFQRAEQRAEQRCEfiHPxA8dcju9IAiCIAiCIAiCIIwQ5Jf4EcDGIhanuxMAkFpNEp+yunEAACtGgh4zR9/bkUoYaZallZG8xmWhncJIt1GZLFMDADeUoHJYgpOwSVZTHiIpy8TysCe027WcxDyBHK0nUywDAIQ0ksCYLJ/pBtCaJdlNsEDTqsNKBEfz1rMMpiNbhI/LzykBUIGWZV8bHL7NZpfyIMASufYMSWnCPlq2PWvzeuhzE4tjyoI+JPOlop+ASa9KaBdiQV/KshFkiVySxUdKPmRtIt1IFRxPppMrbiLXYbuc32YRnc0CnULKMxZ501It9Jn3lR0ngU7Wcrx9omc7eBmqFydM8reMpepLyfZ0T+ynllXbrP57pz5rxTy0QprLp33uie2URKh+V3rt7oQeIZlRuIbWbQZp//nLWMwXoWW7lq/z6ijS0QwAGF1Dop/xFST3eYW/97MYqLkzB8Mo/f+ikgU98z4J/z5pJMnew3P3gzAwWKs+QbqB6jfG4sxgZZy+27AewEZiO38ERrYTAGBHq2meBhL9GCx0an5rCQAgOqqnfxksQnk6JvRcN/SciO1GAqq/CphBT9RabFoDAPBNmAoAyFWwPDHdCgDQx9B0s2hBU8Kzbu4PI9RWlTTN5VfoOnyjqe9ylaSzk9pzIlpFywYpHxUdF5VFKs/YQOt0wmU0D/e3MPiVxXZdjg9gsVrCx5JRtr+VcU5pydD0kEs5DgAsh7ZfZ0mqymtj4gEvlrVdlDN8Ro+MDgDqIrS+T1tJvFbB+TRddLz8ZbuleUiJ6bo4/+lazzw+nfpiKAEqJ1sfC1t13fS+U5I+H+cznc8jtE6SvrkW5TInk4TJ+9Vuo75ApU0jQeI/ta/0bBe05IaSaeB6dwKUa+wwyVR1q0eiqudZ9sXz+LhNaLxdOudRrZgHspQz3CiXU6C6c0dRn4b1FKNRXgMzRxIz3ceyvQCdgxncxooNy2lZliv6d90X02upLY2vonOl9as6AQCxClomy+cgmq550rvyWvpu+Ye07Yfc+iwA4JUrD4cwMKg+Jb+2RxDtr1XnxNSWHD7vbcqpczYXK7tof+3Bbap8Kol5rTbqF+r2mzQU4SMRMKClMtCs7JCsbyCQceKHDrmIFwRBEARBEARBEPrHAFzEQy7ie4XcTi8IgiAIgiAIgiAIIwT5JV4QBEEQBEEQBEHoF47reo+09KcM4bORX+IFQRAEQRAEQRCEfuG6rvdcfJ//BvkiPpvN4ve//z2OOOIIHH300b1aplgs4o477sARRxyBI444AnfccQeKxeKgxvlZyC/xOzDOircAAG7VRE+u0/bvTwEAqXUkQIvvuScAQFMCs3aSeNixGmgBktU4vhBPqwUAGF0kG7MTJPfQV78HLU5SFiWe8XfSPEp6FwuTgKU+5kcrS+SCaYpBz5AIKFROEhsjSXIsJ0iykFrbwlKXRDYFlMp1VrO4ZxSLy2IBA0vaSCqTyisBEMt3WHbmYxnb+u4CMhaVY7FISIl6lHyPJ3vyoLaMhYqQj+fRSspzufxylhG52R4pkIpBd+lznsU/fl42X3SR3+xY1ko/FUmi4vpIXOQ6RbhsylPyQpflSRrL5JRcLu7ToTn0nRLPKeEcQHI5JS5SbcFyXDj8wXVZosRLqO2KGFxBxaInAXILHGeaRECaj/aNFqI2YJTXwMmxMKiR2kliv5kAAKdzA28bCYfiE6iNWekstAp6H9RpnXtUU9uqL6Nt785Ru9rQlkFZgrZ7xQaSlOXS9F2qi+QuAZbgXfTYYtz1rRkQ+s+Gtz5EbCyJFF3ev/44SZp8NaMAAFqQ9plmW3D91L/k+CDzsQQqw7KtZAO1nxb+vNcgxV1oXw+jiaRUdncn7HRmkNYkDAT5ZDsAIGdTv2LHalBc9j4AILmSckftjIMA9PS7wc4GAD0ST7N6dI9wc/RkKmfZewAA36gJAIDul/4BAAjUj4ab5b6thfornQVleiXJquIstmp3TBhNlGOdNPVhRvUYKr+FYtDHklwvWqDP2fLJKPIxkDUot6zrpv5qXJw+K9ncqs4c2rP0nZKOlnM+SgTotSFJOTFgGF6ddeWKJfMUN3letCVNEq6KkM+TsSqZqcpCFSE6PlXu9emaJ4tVwlYlZVWfsyyXNbQeCaqvNK15+UgLUx263bR/9XAcLsv7zEoS7yoxL1gWps5XoGkoNiyjr2K0jw3ua1Q/o7P8FboBcD5T0jsvN/K2K/mrwkl19uSxFMWnatD7Jauczo9cTYfWRpK+4F6zaBoL0FRuNMeQKNHpYjlwtAqhDJU0cwLF/+EKWk+mm/ZnOknLJqrC3vs0n/+kNlC7DMep3GPuXQQA+Pt5B0PoH+1v0nl0YrddvP2l2phWRcd2MUSyw0CBjo32rINmFhHuEaF58x3UH2RbOgEALf9eDQCoHaS48yk6rvxd66FZeWhWfpDW9Plk3333xf7774+xY8fi6aef7tUyF1xwAZ588knccccd0DQNF110EZYsWYJ77rlnkKPdOnIRLwiCIAiCIAiCIPSLkWCnf/311xGLxXD77bf36iJ+1apVuO+++/D444/j2GOPBQCYpok5c+bgyiuvxPjx4wc13q0ht9MLgiAIgiAIgiAI/cJxAMdx+/k3uDHGYrHtmv+5556DYRj4yle+4k075phjoOs6nnvuuYEOr9fIL/GCIAiCIAiCIAjCDkMymSz5HAgEEAgEhjyONWvWoKKiomTdwWAQ5eXlWLNmzZDHo5CLeEEQBEEQBEEQBKFfuG7/xXRq+bFjx5ZMv+6663D99ddvNv8hhxyCfH7r3oA99tgDDz30UJ/jsSxri/88CIVCsCyrz+X2F7mIFwRBEARBEARBEPqF63juyX6VAQBr165FPB73pm/tV/i7774bzjbuwY9EIv2Kp7KyEm1tbZtNb2trQ2VlZb/K7g9yEb8DUlz3MQDAjVDDMNJtcBuXAwB0NkCPP5rsvXqEn+tItQIA7Gg1LesLorB8MS2/F01TBtdCJRlQ0xY1+Aqf37PF6jkycCLTSeWsoVhi+34DAODTDVSwvV1v41tIUtSwfXkyiVujptN0h0yfrm7A5WIddsI2JMn8mWIbaKpAsRRsB41sc13OZvKQn9ZXF6WDN2D0qByU+yLI9t81XWR9rY0ESr5XNKbyKGNLb4GNwuofhlE/lWGw0b1gu57hV61RmX3VPOqLguN6pl8OBSYXHPGxZdih9arRAqDpcA02NPvCJXEaFhm2NdWT2YWebWaTMnQqz9Lo1TRo3gQHUHTcHrszq5BVFxdi/bCeZ7OwlYPL5WkmGZCVkVfhtpM5WgtFvPoI7kqmZi1ANnk9WlayrBGjz2a84LU/l9tad4E+HzCRzLBqlIBXV7Tjk1VkF47GA6qqqDyjVOPR0l0ao9B3ulZuQM1MMv27VqHkO2X1tdkObqTboHfTSATh2t1pngT1V93r6bgNllGbSDWRGfw8bQLudVcNfOCaDrBB2O3YALdY+IwFhOEgm6NjNaNRu6gKcX+bbITDfU71V74KANB4BI+ARj2WnaDREVyD+qjie8/CN4PM4VqRfgXRpxxI33H/6K98g5ZxHLipTgCAw5b63JpVAID4qIlUhkUjKFQZfthsUC82UM4tNlOe8+1Psan+W+PXjX9wWstWemWTT3KuzLP1fU1XFkub6fioiFLfv/coileNtKK6uI6c5Y04ovJafYzqJVcsHTVlDY/aEfObXi5VI5D05DUqV32vptO6Sk9+dc4PBT5HMA0NOudLjb/zF0v7XpvPV3TVWZs+uPze4fxmsL1f4fK5A6KVMOvGUflsuXcCdNLt5cA8nUS4/oiXN1VOUWicJ7VCtnR6IASo8lQeUiPCpDvpNV7DM+vwT9pkLA0emUXjEVy8crnd2roJi893WnmkgGmc17oy9HkFn8e0rksiUUX1UVT7nGNxuI6TXWIiHyjUiBeVXz7cG1XHy29pOs9ozVKbqA5T/1JuOnBdOtZsH7XrXBvd1u2LUP9l87nr38buia+tfX/A41Zt3AnEYHS3AoXP56gr8Xi85CJ+a+yzzz6DGsc+++yDTCaDjz76CHvssQcAYPHixchkMoO+7m0hYjtBEARBEARBEAShX/Rfakd/w82hhx6KBx98EAAwa9YsTJkyBTfccAMcx4HjOLjhhhswZcoUzJo1a9hilF/iBUEQBEEQBEEQhH4xEoaYmzdvHhYtWoTm5ma0tbVhv/32AwAsWLDAGy7unXfewVFHHQUAMAwDjz76KE444QTU1tbCdV1UVVVhwYIF0PXh+z1cLuIFQRAEQRAEQRCEnZ4LL7wQp59++mbTa2trvfcvvfQS6urqvM/Tpk3Dxx9/jKVLlwIAJk+eDE09WjtMyEW8IAiCIAiCIAiC0C9Gwi/xkydP/sx59t57782maZqG3XbbbTBC6hNyET/E2B89DwAojtkTxtJXAQCFZSTF8M86DgCQStCtHOyUQVy3YNaQ1KLuxLk0kSUqTgUNv+DJzlj+gk9e8dapZ0le5vB/jNbkSJiRK7JMrn5/b96afBMtw4I7Y8K0knIjVg5G5zqKb/0qKjdJchqXpUH+aBVta4z+o7Uup6MhSaKZWpb5tGdJAJRiuZn6PL0milWtVE4iXCrB2ZAuFVYFTB2JgFmyvMJkl5wapkKJ72J+AxFfz3sAsHkeJRFSkpNs0cFqJcrjuDuVACXCQhuX6jRr9XQ4hl76nzmDBUAuS32SHKpmxL344i7tzyJrKiyDRDdK9ua4LkzW0rlB2td5l+btztGySlS08X8GlcxICfrYm+NtqxL1aMUcNBVngV49aSKL6BAu88p10yR78oR2QZYGschOi7CIhNupHox44jwj0w4AGBun8mN+mt7KAqD9JpQjlaNKamqjdl/kg0Hj7VCywzHlpUJAoe+MOmgKjHKSOymZl1lGciY9zvZVFlUVPn0bOs+LFuoPuj74CADw7mrqb2bUUpsIcSM8pDI0KHFrxQKQJemQMXo3GN2pQVmPsHWKjfTLRDI6GgAQ71oJZ/WHAAB732MBACs66PhWArfaKPWHtZEK+A4/lQpiiVmBcwf74KD76TjXliziCQbQRWJFLUT9SDpaT8tyJ1f25Z4ynTf/Rm/TlMdCE+kEzs1T/+KsXwEAsBqWweqmaYUk9Y2pdS0AgHFj6cRNq6dlO0L0C017xkbA1Pg99Vsqty5po7w3PkH95IqWtCe0U3lCiVwtNiv7+NbMmogfa7tKBW1+tt7Zm5zfhlmeWhY0EeJYcjyTkt+1Zanek3nKYZ+25rFLOR2TFs8bCxgldZhjW2vQ1T1Rnlq3kse5LIxzOO87LL8EAKNrXUmcSn6n0HheLdftySntTcrRMyQf04pUT7Yv7L334HbjsmxQZzEsuE7dfBa6ErYqIaES8LHQTk3XCmk4LJpTUj07xLEEeX8o0WzZKN4QHeW0i7FXPeW+qgjt57UdtIza37qmobOFBWucHzXOsX6W7kZifggDQ90BJCHTTB/sjk4AgFlJx66boH4mzudO/hbqx+xIJSbzvtCWvgMAaHx9GQCgZi8SMPr4OK6dUT0ocSvZpp7vhlMxFo6ve1DWMxg4rgutn0PMOf1c/vOCiO0EQRAEQRAEQRAEYYQgv8QLgiAIgiAIgiAI/WIk3E6/syAX8YIgCIIgCIIgCEK/cN0BuIiX2+l7hdxOLwiCIAiCIAiCIAgjBPklfoiw3nwSAODusg9NMHxwR08BAASqxgAAOuMktGtJk3gmygI2OxRAroqkOkFbyS5Y3sRilIJGu9L2lwEAYmN2g8nSMjfF4jmWsKS7SdYyOk6il3VJC9OqAgCApElyoDKW4VmVEwEAmk3CHtcXgraWhEVmDUmMsuuWU/xL1gIA4pk/UaxT9gIAVO55DIwqEhMlCxRvIsiSM5a9rGGBz6etaW+an2V0dTEyxrRnSSYzrSbGceeQZ4FQS5pEN2MSJKTJsxGpLUPTlTyoPOTDuiSVs2ctxZTlecNc30pml7FsrEvSe4sFP0rKlOfPVRvJ93xbGSuyYFDd+m2KIcpStrTlePKhhGHzPFTPeV+Et7nI9WXAZfmN2mYlHWL/oSc9UiKjkKnBBAvsWMTjmqWyQK8dZZOAEv9YFIMWJoGekvw4LNQz0m3QlbiOUVJD6LSvzGpqG3YHyadg+qA5tC0w/LzNOsepJIEU67pkDm2pUomh+q+uwcvUxGk9RbnlasBIHDgLdhuJLYsZaveBSuoPDCUsVJLMcBwocp9gU9u1WVJ5yL4kDepY0QkA2H0/KmPZ200DGm8+RbHoAFAsbHNeYXBwlr1Gr9WTAADK6WknRkObSjKwxhS1kwbuS1Xfr+Rp63I6YgGSmQVZymaAXlPc3wLUB1WN3h0A4KsaA7tpJa2zkkRTXXnqCWvD1E+25akPrUmtgD7jUCrm3YUAAHMSWYdVn2TWkiA2t+wjBEZR35Va9x4AoGMZie0CTz4GAKjYm2SviSO+S9PjPrRxPx1lSaft0jYrGWsXizozBbU9wMRqim9NB0nYJldHAQBLW1K8PRaWNtH7yXX03acsfVXSpxXttOzYMqqftxuT+OK4MgBAkaVuCZbVvdOYKll2TVfWE752c1y1LGNT+yjk68kpKj+qfez6AiV1qHdTX++wvM41fJ4I0+huLvnOjpIMTOP8o9sFT2TnBii/5/j0NKwkvizQU7kMALRChmNhqxznSCWt07KdNDkU8YStrorPpPiVFFgJgF3D7+VFTy7GOUvNa7at4vXStrvpNph+koCO43OQmgiVHw9SflM57eN8Ef4QTdO5/i0/fa7gNqHErUL/iexHx77dsg4an2toIZYxmtRuPGGkEi86DqCxFJHz3G7fPgQA0Po+Ce7qZ9I5eeMbSwY03kyW2qnJUkW4DjTbgmYXB3Q9g4nruHDkdvohQS7iBUEQBEEQBEEQhH7hum6/b4eX2+l7h9xOLwiCIAiCIAiCIAgjBPklXhAEQRAEQRAEQegXYqcfOuQiXhAEQRAEQRAEQegXjuMC/bwI7+8z9Z8X5HZ6QRAEQRAEQRAEQRghjKhf4l3XxT//+U8sWrQIpmli1qxZOOyww0rm+Z//+R+89NJLJdNGjRqFH//4x0MS49przgIA2BaZJP0xMqDXHjcHAOCwcdK1LXSGydqcCJFhtSXDplzWvyrbbsGxUBEkW+nKLO2y0TGyuxoazWuzqbw1SybXqOGHEyfLqxYko60dZKN4N9kvI2ybrYv6kCmW/tfLM88W8/xKy0DTobOpWplgQ3uRtTOwG63HWvUJxfIvMgHX1Y5HkO3FyzvI9DmVbfWpAsW9dx3ZQp9f1YkDJ5DlVZngU2y9jvhofcr0u3tVxDPtKks8C4/RkbX4c+l2VYR8nqleGYVjm5hgIxt9rgyTlTZXdErmUbEtaaP1JAImRsWpztIWrdMuXQQ+P32v7PEZy0HAVKpfjpNNvzneH8rUr6HHxK6szj7+LmhoJesJumTB1TNdnl1XWYJV+a6f6hsbGfVdM1gyTRl+XR/tKzVCgROIQjOoHeo8AoK2ifXe9ZGh1yivobro2NATA9uFQ0GKwdRpeyaWUf182prGtNFkAV7a3A0AKFpUmdWq3XAbGFMegjAw6GOnwM2zGbe7g14ryTTvsiFaV/0AyOQNAA73daFK2meVu5NpPNlA+84fobYR2qSd9hdliNasLIpjZtC09jU9oyCMIBYtWoTnnnsO+Xwe++67L4499lhoWk99/etf/8Jjjz1WsozP58Mdd9wxJPFtuP0iAD15zQxSv1hx3GkAevoKZXluyZpIBMk2vmo9mb7D3H+rvln1oaPjAc+cvltl6fFseLmQ5q1UlvBEzLM3F4OU5xzuF/U8tbsKnfooJ5joyWPc56h85hnLLeqTfNW1Xl9WddD+AICy3chc37VsHQBg9ZPPAgAmjd4VABAZtRtWu9TPjeURXxIF2tZ968kq/3/L6Xg6ZGIFuvJUh/lNcoqqlz1qaXuCpo5EwFdSVx3c7206EkoiQNvamMp7eW1Tm3wV5zKVT2ujAS8XbWqpVzGO5pFhqsImMtwH2y6PHsM5xC1QjnHZHu+wKd7Ip6BZVO9Q+4IN9ApNnQ/5IxvlB9rGIP5/e28eX0WR7v9/us++JDnZE0II+w6yyXIFEQFBXAC3DHrdZlxww2UYUeeOjo6jMy5XvfrV0ZkrrvOLMnMHXEdlwBFENgmyyQ4JWxKy55ycvev3x1PVcEiAIJgQed6vV14np7u6urq6up7qc06/S85+IWdH0UN0XmHEDuVrkbE6UE2bJmXJ5XSsmppZxe6CLstpWKhOlWnenHnHStvA5jRnfNGPItdSln2thtoEfHmQ1W3GdNXenVZqA6tLqA1k5SWjvpbaXUM1lSk5h855WNZ7D9kGmFNAVhcAgNVmR6ysFAAgfDT2VjMdqOvAJmc50QPVh+JINs0aZW+oBQA4SmmmBVcWtWWHHPedKuy1NMuTGidFM7rBWnfAnJ2oPSCMuDlmOJk8mOPTbr6JNwwDgwcPxvPPPw+LxYJAIIDLLrsMt9xyS0K6xYsX4+uvv0bv3r3Nvy5durRRqRmGYRjm6EydOhX3338/GhsbYbFYcOedd2LSpEmIxQ59GFFcXIz58+cnxLVevXq1YakZhmEYpinqJv5k/5jj026+idc0DW+//TYGDBhgLpswYQImTpyIO+64A2eddZa5vFu3brjzzjvbopgMwzAM02J+97vfYeDAgeb7a6+9Ft27d8eCBQtw+eWXm8szMjI4rjEMwzAMA6Cd3cQffgMPAP369QMAlJWVJdzEb9++Hffffz9SUlIwZswYnHvuua1aVoZhGIZpCYffwANAly5d4PF4UFZWlrC8srISDz30EOx2O4YNG4aLL764NYvJMAzDMMdFGMYp+Dm9cfxETPv5OX1zvP7663C73Rg2bJi5TNM0ZGdnw+fzYf/+/Zg8eTJuu+22Y+YTDodRX1+f8McwDMMwrc3777+PQCDQ5MPnjh07wul0IhAI4Prrr8fkyZMRjx99oMRxjWEYhmltRDx+Sv6Y49Om38S/8847WL58+THT/Pa3v0VGRkaT5QsXLsRvf/tbvPjii0hPTzeXP/TQQ8jPzzffX3XVVTjvvPNw2WWXYeLEic3u48knn8Sjjz76A48C2PforQCASEMjbB6SusRqSVjizvQBgCmMMtEt2FdH4ooKnYQqUfnJU1QKenbUkPCub6bXFJ0pmZlKY8iPYdxRGqB19JAQJR7PRsSSKNwISYmcku+oPIUQkKuQqpEwRolbolYSwzQKysuia0jxkHgOlSTgEDk96H3pegCA5qA6SO5C8pB41X5YlHxI0LbKcdXJTTvWoiRI0zUN/TJJXrZiHx1TrRT+nJ3nAwCEpTEuyW6FRclkLInSD7XcKyV1nVKoTCkOCzJNCZ4UIcmyBGV9eO1S6CYOCYOU6EcJhuJSSqSEQFFDoLqRyqkEQiFZTo1Os+muUzK/g40R5HgprddN9WuV0p3GoJFQFuCQ0E6V021TAh0pMJKCHi0SMLdRMiAh81WFMKUtgVp6b3cBajsHnXMlfdEjJJ0y7F6ZqcUUByFei+YQUnwHXYqk7E5TgKSkRHYHlSGuWRKOL9lhRYEU2NXJc98xjd4r0VVJJZX1QN0R1xVzwgRDVIdhXxckdZHiw0a69vQU6gdESEor9+4AANStXgl7Mp3beITOUf1u+uZYXffujDK5XgmxgI/z6Vvni/asO+lyGxUlVMasAkAJskJ+iHDgWJv96Hz22Wf48MMPj5nmjjvuQJ8+fZos37hxI2699Vbcd999Cb88+9nPfobZs2eb72fOnIkBAwbgtddeO+qH1Ccb1+r+978AAKGqOlikyC5URe3CkyNjblB+MGBJFFtuPNiINBctU8I2xbr9tM3IAhJDbaoImGnDcdW3UZ+mhK6p8jWmU9uKxAUsObS9coPmyvxFnPpSw6rkrCFY6qktajmdAABxb2ZiueW3RhZ/LYy6KgCArTOdH0MKrawuqoOMgSS0ix0kqZndlwnDmZlwjPlOyk8L1lG+UtrWL8uLxbtIwlYdoP51WEcfAKDMT/1ikow5DotuilpVfdhkYEt1Urm7pVFfnS5jWpdUl9mPqrimpIApsg5VDEtxWE2RnYpj9VKclyzzVyI9l003xx5m3JTDxxQvjc/q4vTe76dt0l0euGXcV9K6mIwhliiNbUx5qjsVEY22l2HNFBSayGscuhVaXMY1LXGMo0uRqxah/E15XTgAQ4r3DuUnxz+yDSjZq2bEoMk+RMn6zDRKrCgFfbqKo/EIrDZKa5eDm7CM09Wy/afIc5TrcyEkl6VL8aEm6zYUoOUlVW3bh/0UCDVSHda6OwAA0typ0GoqABw6j+r8uqLUnrQ9G+k1NdsULKrr3NahM716EmOXiBvYcffPAADdXig66XLrAep/THmiENAba6A3+k86b+anR5vexOfm5qJ3797HTGOz2ZosW7JkCaZNm4bf/OY3mDlzZsK6w2/gAWDs2LHIz8/H0qVLj3oT/+CDD+K+++4z39fX1zfJh2EYhmGOR3p6+nHjmsfjabJs69atmDhxIqZOnYqnnnoqYV3Hjh0T3nfr1g0jR47E0qVLj3oTz3GNYRiGaW2EOAV2esHfxLeENr2JHz9+PMaPH39C23z99deYMmUKfvnLX+Lhhx9u0TaRSCTB9HskDocDDsepnSaCYRiGOfMYNmxYwiNeLWHbtm0YN24cJkyYgLlz50LXj/+kWzgc5rjGMAzDnFbwFHOtR7t6Jn7ZsmWYPHky7rvvvmZ/JhiLxfCvf/0rYdlbb72F8vJyTJo0qbWKyTAMwzAtYvv27TjvvPMwfvx4vPHGG83ewH/22WcJ75csWYIVK1ZwXGMYhmGYM5R2Y6f3+/248MIL4Xa7UVVVlTDVzjXXXINRo0ZB0zQ8++yzePDBB9GvXz+Ulpbim2++wZNPPsmGeoZhGOa046KLLkJNTQ28Xi9mzZplLr/gggtw6aWXAgDmz5+P2bNnY/DgwaipqcEXX3yBmTNn4oYbbmijUjMMwzBMU/ib+Naj3dzEW61W/P73v292XUoKyUssFgs++eQTrFu3DsXFxUhNTcU777yD3NzcZrc7WQL/3+MAAN1O1ZgxsBusPhK3VX1LkjffqHMAAKJjX9pIyjIgBPp6SGyzN0Zymm5SfLK7gRqvrpHsZHdtECEpUsv2kJDDbaNtbDrJUyKWZABAktxGD9XDJsUYeojkOkFLityWvukpraeydE6xm/kHNRLAQadXQ0py6sK0fk99CH0zSQ6ULssQ9mZTvqnldIhSBOI870oAgBaLALUHAAAjO9O2DcqkJy/UAwYJXgblCFNe9t1eKnejlO8M7UDlL5CSOocyGgHIdNM5sBxaRGWRYqDyAP3sVD9iPQAYMo1T5meXkjynRTNlg0r8o6RACpvcYUM4jgNSTKTEP32loE8JboKyjgMyjzSXDVG5c380cToNJSdSZQvGhHls6riV9E4J7ZQkSFOyIE2HYadzpEupnCkHkkZE4aJ2Y1is5s9ylPROxKQoTw/LHZOkSItHAZnGcPtomZTVKYGRiaw/LS0XqKuQ21O716S4yOmk81otDzbba0eFlD5lJdHPgTtJ0V1cplHyJ7WcOT7VDSR78oDqNqRT3ZpCQT0KYaf6tPX7DwBAvGwXAMBoqAEA6EkkdEoZNhwHPv0cAIl9AMCeRNvWbiXhZcVuun5T6qlt5A/MQmMlleHr0WMAAOcsXdLi8sf3UJ8aS8kDAFisUq5oxKFF26/gcPbs2QiHw02WZ2YekqW98sor2L59O5YvXw6Xy4UXXngBXbt2/VHKE/rnawnvk/v2hu6U119oDQDAPUi2j1x69l9dy5qb4t/YTknYUUv9x5hOdH1/X0l9kNdJ1+5WKe+KxAxkeaktpskYqPrKanlaUxzUJ1tCJMWzO5NhraU4E04mcZU9TO2tSqN+KsNP64XdZYrIIEVnqp+KerMAAH4ZY1J7joStioSJRnoBAED3fE+vNip36vlTKA/Z/qIlm9F3KJ2LOo2WqT6uykr7HdZB9ecCxaW1dCwyGPXNpvL2yiBPQrLs23QNyE2ym/8DgEXGd0PGmM3yesqS44I4BKxKfiv7ymQpd1XL7VJ4u7XKQK5Xxs0jRLAKtb89dSFTPtgtlbZXsTUIWq7imkvGymDMgFNK74RO+1HjDDV+UWJBoVuh7EdaTF4LSlap0kpJq2FzQbNTw1AxTwnthIpLDhpPKHGZHo8cykeOOVScM9RycSgGq/aiSQEfZPnN+Ca3jadQ27M0VMAm46OS4TaA9qNEvNkyllXUh5Es/1fC1qBsfxX1dFw9ZJtgjk84QO1C91cCAAwpXg7JFpWs5MCBELQewymtFE4KeZ0aUmoo8mna6uiGrw61ExetC28pBgDU7aB+JVBGgkpfz3zEAnTe9j9OfpIO//VKi8sfqdxL+btpvO6W4y4osXC4gdrdkWOr0xi+iW892s1NvNPpTPj2/VgMHDiwydy7DMMwDHO6cfPNN7coXffu3dG9e/cfuTQMwzAMw7QH2s1NPMMwDMMwDMMwDHN6IgzjFHwTbxw/EcM38QzDMAzDMAzDMMzJYRhx83GEk8qDOS7t5yELhmEYhmEYhmEYhjnD4W/iGYZhGIZhGIZhmJOCxXatB9/E/wBi336c8D516BD6x4jDmknm5AwrmTGt2WRjj0kLq6VBGrqNGFBO5ueCNLLnxxxkw013kWlWWU5TnIdOk0faY/3SBNvZLRWxykweqEvYz+HY7WSaVTbqbA/lWxmMmQbP/X6yrnZKpvKGZdr9DWSMrQhEkCRt/H4X2TSF3CYvbxAAwJZEtvp9VrIr51oaYQmSVdh1cCtt60sUNPmcdFx766OQgmIMzvcBAHZKi3F1kKyd3dPIJiuEQE6ITKF6DR13LIMswREbGUVdcSp3yEGZOiwaPNLuXtJA+aXJfcuahEOTtm2HBcnSGh+MKnO6rBdpnFcm+hyvHTVBOm/KHBxXInj5ftNBMt2qGQYyXDoi0iB8sJHqsCEck+WkMtkth0z0yoSvrMaazNc0Q6tniJS123LY5a1MvAE6D7o0rgppa9YijTCkyVdZerX6g/RW2e5tTjM7PUznxFC2Z4syhUuzvTL+SnO+FgsBSYmmYrVNIK4l1FeKwwa3jY6/S6ZHHj9to+qgYzKVJdWlnMbM0fA3krm5UbZlj5Velem/QZqRXW47hK8jAMDip3OvWcmca0mnPkrEpDHXkwRvHp3PqDTz6lJx7c2T130PMtpbXXTurE4rNJlGk+dx571XAwCMqJw9QhrAC2bNhpAzK4j922ib3G703kpmZ2UNRqAGIoks4/Hc3ojXN5xoFTEAYsX/BAAYDbUAAGeXnrRCt0D3SPN2f5plRU/yUVq5rbWG2okuDeIo34VeWRTP4hYyePdMp/NZLmeeUPHNbbOYs3/ILg350spuicm21UgmaEsNzXygJeeY+7J5EmfGSBfSYi7N6HpjDSK+fACAo2IL7Uf2PTUhavvq2nB4MuHwUvuVXT5cA2l62lQZy8PdaMYZRyW1SxEJQd+6jNL2m0gbNdIxprnomEvpLRxWDef3ovzrQtTmVX+e602MH/mR/dCCdO3GMrrQNnGqM2Wcjwuym6vZWQBgn4xrmfK6UzFEzXaTZKPXWKrTNNgro7xCjRHUDCgHG2NmPgplzP+unOJaXrJD5kUrQnGBXQHVt0vTt9xGzTagZoLx6JoZSy1W6tuVJ1/Z6uPyGoemI65LK72MQ+p8KtS5V9sa3sxDY6SwXyaSMVGTMx/IsYIWajDjohnXpCkcNjX2sJppAcBweBDXpWlfBjIV21U9qRkY0r12OKw0K4yaqUG1gXN7UrlVvGOOTrie+oQ6QfXqc1Ifpa6RehnXku1ynGRPQ7JG59FSXwYA5mwsagYnYaP3IhaFaKSxkqZm6bHJPslJr5F62fbicYSqpCFfXpfGIzfLdYnPdefeNtv8X8U1i+wn1WxSmmzbkOMvOFMQT85CHK6WVcxpAN/Etx78c3qGYRiGYRiGYRiGaSfwx30MwzAMwzAMwzDMyRGPQ+gn+U16nL+Jbwl8E88wDMMwDMMwDMOcFEKcvJ1eCL6Jbwn8c3qGYRiGYRiGYRiGaSfwN/E/hFySsjmlWCm2nwR1+qDxwJ6NAAChJGNSpgIpqxDVBwAAke3rYO1AshpNyaLcqfTqJLlJ11QSWcSFQCgmZWtSLmOTIhShk0hDkzIyQ+YRdaVAD1QBAMJeEs3trydBR0wKV7qnKhGNjvIArfv+oF++UrG7pZHoQ0nlonGBRinVU4KiwTleAIdEInUaCTq+21cv1yehIKcXHZsUZqWBhD0NGuXvq94OAEjxdEFpPQlm+mdRvttkmVaWkCirj5Sd5SXZoJVRfUKKBC21JLpzSgmbEqxlyHqx1JSayzJdJMqxhyhfIYU6lXGHrKeYKVuzSsuORcmBHFIOJAVAbpsOr43OsV9KkoQU9XjkcnXOVP35oxbzvEZlPpnuREGPkgQlxf2AIcU8UqYjpIhOb6Tya9FwwnJoutkuTKmPFAmp9qlJcRSC9dBcJNtRbVVz0LkxlGBM1o8WiwAWpR1KxJBSKERDCfsVFhuEg86nEucpwZ1sjqZkyWoBukl54Y5qaidHOJUQlvWWZLdiWwXVR4+spGbLdKYTlBJG1Xeo9m+RTUO1aZuIQWskwY9hCg/pPGqyn4kdoL7Ov6vUlNDV7aBrzpND171/H13jnc7rmVAOq8eJb1/8CgDg7UBtIa1PZypjFe3X5pHyxGA9DCmysmSSUAyyfVtkvybC1DY0X7a5D0t9OSwN/pZUC3MkUrDklBK76N4dAACt/1hg1xoAh8W1I75liVWQcC66+3MAJHS1yDS6nfojq4Pi2lkyXig5qCGEKbZTbVEJ0My+QgqoYlk9KM9AFeLJ1D7qDOr7DY1e08MVZhoAiPs6Yr+f4pfuIfGpEsEFAyQ3U31PJC5QHaRy59mkFE0Kp2J9Say4vYaWd/TRe1/PMOIHSeznrC2l/NKoLh2l31KZcgcDAPb5oxiaS/3sZzsqKT8pbu0i4303nxQ3VhwA5HVnraF8U+1eWS2UNk8KBm1VdF0KmwvZHqoXb4ziL2Q8qrWkmMcIABoArxSIqjijENIX6tWo3lJSHaiVEkAlYXPIoY2SsPll/Ff9TDBmNBHkqb1Iv6UpGoNhgVUKWg0XxWotSsI8NT4yY4luNWORoeKYGmcd8arJOGS4Ug5ZE2UcisvXOnlcPifVu8USNGWuqrxhJ5XJKo/d/PZLSmTD9iSEZD0rkZ0aO6hYpWStPbO82FpBfZTXmTgEj5rSYcp3yc4qjOmaDqYp9aA2oJyMYQv1M5Z4onQ4WblvNQ0RKcGzqrjmkOOUBuorYqUkXtasNtRv3w0A8HYhKWaglOJczsgBAICon65bi9OO4pc+o7TZVIaO42ibxgOUr81D16seIBlfPDkHehK1KUjps7WW+pBYFUn3LFLkqhkx6IE6WPztJ64Jwzj5b+IN4/iJGL6JZxiGYRiGYRiGYU4OYZyCn9Oznb5F8M/pGYZhGIZhGIZhGKadwN/EMwzDMAzDMAzDMCcF/Zz+5H4Ozz+nbxl8E88wDMMwDMMwDMOcFPxz+taDb+J/ANYOJGmL15JUzdrtLFoRrEOshqQ61sw8SlNNkgpNynGi+0gWFK6uQ/AgSW9c2SQDs/b8DwBAQApSDBwSUkUNKaWSbpb6sJSjRShtVx+JUKTTA41RIE3us6SO5DS7akkEZYhDMjaAxGtKvnbAT9KeiJSxVEh5nT9MAqCBOclokAKbjskkCcmKkbyj0kb721JJQpqdUtiT7bGjTCOpy+AcEgvJYsKQcqNYCtVXut1qluvznSRsS5OSl77ZJFw6KCV8XTwCRkZnAICloUJmSGXTqkkSooRcSCfRkGbEgBgdY3IdyYC0eAyHk5mSS1m5kyg9gOoo5eNzSsGXFCHZpIfO0lBuynR8UsJUJUhmos5nx2QSsSipj3aYSyjVRZeikgIpSZ56r/kboUUCCeVUZdP8JEuBEiTK5bGKPWY7VPUi4ko2RfnHy6gOLCnpQJjEKUIK7oRFHpwU0GlyvRZuMOfwVGUwlExPocSC8YiZhyGFaqaE0SKNM7INK/Gf3aIh3U3rlPhPUdlI597toPPgsOpmfTLNowQ/qq9QbUoJBTv6qU+KOTqb8kEl0jLk9SOkCEj3+gAA7pwAQlJG5/AlCgWVnE4J7pQAL2twT6T1IJmPRwqANr27FADQ/RISfyUPHUH7C4cgnJSvVl1C5TtIYiFrJvVjQkkarXazvUWzeiLqrG955TAm1rw+AID4pi8BALZOJCYUDRWI1tC5tKRSrFLyJd3tAwBEy6m9BOQ518qq4EwnkZq9xygAhwRfSviVJPugunDcFNrVhqg/UUK0bj7qMyD7Gb9B5zzZHsJBjfL3y1gYk2O+lFTqv/UIxSHdX4nKsBSbyv1UNSb2+blem1nGZNm3aJuX0fHLuKzkr5srqR9OcVA/WeXthc5ekvbFlZw2TmnjPup/vWHqozunpGPVfupHleisbyZdcwdlrO3lovgUz+kJayX1z4aMLZa6/VQm1ZceIRDVIgGkxEgyqIVlvJDXcKqT8o0mU/1YI37USbGskuCFHVSnjmhA1h2dT2s0jPSUHABAEJSmJkwnMtMjJYFH9NWRuECKrEslDkyT8VPFf1OsKgxTzKpZ6frWg3Wy/HKYKt9bwn5T4CukWE6LyrGNlLCqelLptFAD4vIc6bLOVHt0yP5QLVcyRQAI26ifUsI51WfqmiyTnfqomtChNhyRDVz1u+rY3TZan+KwokAKg6MybaU89z4XpVFjrCR78wJZ5lB7a4wmxjUlH+yq1QIA6uN03qOGgbQojSmRJGWB6ttej+wf0qmNGw218ORRX6fJQZ7qzxrLSUhpRKgPSe7bG+k90qgMydT+ts2juJY3mvpU77D/MPMFAJHdC0bJeloWoGtPb6Cy6c7EsZSwuxHzpCNm57jGNIVv4hmGYRiGYRiGYZiTgr+Jbz34Jp5hGIZhGIZhGIY5KQwjDo1v4lsF/iEqwzAMwzAMwzAMw7QT+Jt4hmEYhmEYhmEY5qQQcQPQTvKb+Djb6VsC38QzDMMwDMMwDMMwJ4UQp+CZeME/p28JfBN/EggfWV6FtKcam5cjuHMbAMA9YCgAwCptl0KavW35ZPz179iFaIBsqFYXWd4d9WS7T0nrDgBIlvbemlAcaU7ahz9KDdsrraU1QTJk1oZouUtazb12Hbo0ttstZOdslNtWBMgC65Ba7wy33VzXI43MmMX7yQQbVCZ6ZQkGkOul8uYnSyO+lSye6eGGhPW7asgOvLs2iDWltQCAvOTOAA4Z21OlvbbGQtukxsLwGmT2HZFH9t/Pd5DZt6oxkvA6KCcLIWcWACCtkfIXNWRNNkLSrmsna7UmLemG3Qs9RJZPUUkGe6STQdi0vUtLrQ6YVuQ0q8xHGnl1ec6t0pythf0wAnT8uovq0J43VNYY1bOukaU20y1t7xoQlPWgbL0ua+ITLtZwvSxTEDgorcM+OmZNHnOsitqNMq1apI1YtzsRlxZpTdaDaamXtnG1TayqzGyrho3MubohbfXKDqyM80YMhpvOvR6iY4Y02au0WrQxIX9hs0PIchlCGoul8VdKZeGV7T1qCDhl2+zso30Go9Ju7CKL9N76sNxWM+2/TPMoe+8+WWc5HmqfVqhzQ3Ws+ytheBKtvXpOFwBAvPR7ADD7N2fnbrCF6JrKGT0EAFD7/XYAQKCMZqvIGkqzeLhys2k/kRC6XUQzeWg6nd/KdTvpvTzfysyre5IQl8ZtWKlviEtDuu6mfkFPkUZwV4pplD4QiKHhCPM4c2KIZOrP1VUV37wS9evWAQBShg0HAFgzqJ0oA7pFzoIR27CVXgMhc1YCdzWZ61OyqD2o67xaxqxsj82cOUHN0qHiWkOU3rus9OrVabneWANXGp3//Q2UT52cQUVZqtNc1K4jzhwUyO6vpI6uAWUmz5D9mDkriN0Cm4zDqu2L3Wuo/F1H06uDylIq89pdG0THvtR3VgdVfKZjdCRR27c0lAMAnIGD6JmWJo+R4lxZQxiHE+9IxxUzBKxWsqyrvt/8bkqX5nlpXBfyGtEbg4gf2Ez77EDjCGVu1+SsKTY/jQuExYoU0DWsyZlNHPI6stZKu3sdmbjj/lroMrbqvcZSWjVziuy/s2TfrOJost0G2fXApi5laQ63GXLWEjkzjMVfCaHM8tKIr2KLOjZIE72wWGmGFACAnBlDxnctInckj0M7Mo/D/o/KmCKkRV7YaXnE4oBdULni4rApZHBoBhV1zKod6ThkpY/IeKTSqPGQmmnFbbOgRzqdizo5G0OWTFPhT2wLzNGpk7NSbKygccr4LmSYVzNbGHKmFY+F3gegmW0oltYZAGA9SDOzRLfSTFH27hSfRCwK19BxAIDwppX0WkttyduT+jHdk2yWpfMlY2ifclylrdxErzKuaXK/epKP0gHQnHKGgu3Ut9odvWUaOg7DRTZ8LRrCgbgbDeHEtsgwAN/EMwzDMAzDMAzDMCeJMOIn/3N6Ftu1CL6JZxiGYRiGYRiGYU4KvolvPdhOzzAMwzAMwzAMwzDtBP4mnmEYhmEYhmEYhjkpRDR08t+kx6OnpjA/cfgm/gdQ3UDSLk8yyWyslbsAAFqSD44cWqakMpBCOyGlMvE6kj7FQhFzCgWLk6QXSijmFCRpCWlS5IJDYhgl/Emy06nbVUvSmmopyRmSSzIPR7gOeoT2HbeThCjbQ/kpMc+eOto2HDewvYpEOWMKSLqzrZy2TZGymgwlXglEUCBlY0ooFjakcMNGkpkMN5UxU0qDrBYd53anMhQfIDnImE4pMg/aVIn5kpMdsMZI7tJBuvT6ZtIxrdpXCwBw2UiMVtkYQ4MUItkySBiYpEQ2UvYWqyGJj01JSJKzoKnOQQro4ntIBAQrHaslQvUS7TQEupICSVmPHqDzp6Q7kR3rKf+O3RArJ4GTksileKku4ykkfYpIcY6S1enBOlilZMdwk8xEU+1FiuKUWE9YnTDkMUWlaOXIKTgsLrdcTnWpWSymPEVzSCldlNpWrFIK72y2QxnIsggpVIkpyZmSBMlXYbVDOOhcG1I+ZtipLjV57iCXa1JgdLh6TkkNldDOZkkUtli0Q3IaqxSghWJx+SrPtxQMNURi8Enp485KOiddM5LAHCIUo7rsnkYXlC6NS/YDJKtT8iotu4vZzpVUx+KnderasKdTm7akZsLpkfUshYWpqt137QgAsHXtJ/Ona8YINSKpQEoXpeAnJuV4nk5SLplB24pgPSy1JJ6M7iZJkC2/B21TTpIvvWAgAMBv88EjSCiU5rLCGuWw9kOI1FJfqaSdYg+1DxEJweahtmPNoPimJINWt+zHS0lo1yilhvFIDK4sHwBAi9G5cfpJ7ma4aLlLtqlUOxCQXbJT9gXqOldxIcVO/bC1ajcAIFaxB65sEkwVpFBfGYlTfnVSPqrafVUwhu6p1LcpmZxNCqfki9kn+eJ1pgQVsh/Vk6jNJzVS+Xukk0xO9VoFPgcOSplihzD10Uac6ktIuZa6joyacnRIJdndeZ37AgA2VNB4wi3jmiYHv3FDQ8zXgf7fsAwAEK2ifPz7qP7TR5JoUIkFo+V7IKTUNbyNYpMSDFplGkvf/6D9hGPQpFgODVJgJ89rYBfFRHvHrgCAWHkpNHmde+S1G0+hssWSSLRqqaNjV1JTj92DuBT76VJEp+KEaa6WUk2jfDdiB/fhcDTZPjQpu7TmdDK31ZxUr4aMkyo2oZxEZZpNLpdlFik5MJTUVR2Hjc6gLi3YekRKGu3ewySxVHcOJbSTeWhRKQdW4zoBBKXUMEXKehXSmwenHMRFYsKMeeV+amsVAXqtDyXeuPgdVvxjA9Xr9P65YA7xz63UVvOldHlpKcmYR3aUYz0LtZ8qOSQ52BiBS7a3HCXddPsAANa+IwEAMTkO010pEFLaae9OccaSTe3P0pHGmvG91OcZdVWI+WncZs+mc2RxUn+j+k3IcYwaI1oiIYTkOM6aSiLR0NYNAADXhSREbvRSX+sKViHTbYUjdvrHNbvdjpycHJRtev+U5JeTkwO73X5K8vqpcvq3CoZhGIZhGIZhGOa0xOl0YteuXYhEIqckP7vdDqfTeUry+qnCN/EMwzAMwzAMwzDMD8bpdPKNdyvCYjuGYRiGYRiGYRiGaSfwTTzDMAzDMAzDMAzDtBP45/Q/ACVTq4iRnKRzFgmX7PEIHFJaY0iBRiw1HwBMWY5oJKmZ03dIvuUeOZm2kXKWsrAU3Mh5Fh0WHdLzhQ5JJHnYW0+2jgMNJA3aW0cJcpNIqGFPSYGL3C+wx6mcaW4SfcSlkC5Diue2VQeQLGV3GW56PbcHyXt2VpLcY78U6AGHhGQ5cl9KyFN8gI7tkp607egCHx2zAJLsekLd+aVISMnx7JZDkhlNCkX0xhoAQJKD6vTsPMovyyuPQwAHGqgelBhmdMEw2ufm1QCAcAXJTyLlJIexZ+fCCJBkx9aJBCWxMpKNROup/JqUkLjDQYgcOrdKzqQHSZ4S3vANAMCa143WO9ywpJOIJLiB9m1VUj25H2c+ib6UPEyr3guEKV9Ldmda5q+myo3JZ4qsUurhSkY8IsughD9JJPyJHKT9hGvL5X5raZOuPaAnk5QJUuCiBECan9Io2VG8rsqU6JlIAZqw0HnW5PkQDi+iGrWTWkGNzC0lUk4rtXuLSJTuQRjQhEhY5LRSPQelxMptO/SZYjiWuH11SCRsE5Vtzh+Jm2I7JbLaUkHnsVdWMs5kSqtJttPFR22oWoqXFu2mNjxRiuKgxHGeJFNop0nJk+Gkfiq2f1eT/HUpnBIxKQuT7VyhBIu2zn3ofSRkCqmElA5l9yPJFgLUtjQpkoxldIGQ+44e2E37638u5ZdCIq0Guw8A0BgxYHGQQMgZDyISP9RXMS3HkLLKRiudI28nutb0SAie/qkJafVugwEAQsa1UBW1KSVRsyd5kDJyNKVRorUO1I/HZJ+f4pDyy2gjOnrp/JU0UFuqCyf2RZlZVCYlk7VEw0Aj9ZXJLiqb9NnB55R9g4wxLqsOa6gWANBP5qOEeQ1hej0o+xtnWgpSUqnPlN0fdtbQMfaKkXitU3w/HZcUgWqhAITs91S7VsI2JQUVjVQ/8ZoKxKpIKmrPoXgwKIeuI6dqt1IOWhe1I2ih6zG7H4m3Dv7lFQBAtJHS7ipaQHXQmYRaoao6ZA6m67ByHUneYgFKq9tJnNWhkeKfvWs/MxYq4W7DRkpjiialIE73JKN24xYAQLh6PtVrNznu6UkiLlikRK6C4imMOKy5FB91GdMVStyq+hcA0L0+epXCWSW6E1K4GJMx0dqxOwy7K3F7jerJGk7st9R+DU0/JFuVcUiNqSxSdGvYKM+oIVAeorQum2wXcnziVCZEeZ5VXlZdg8OqJaQNRGmdS8Yst2xPYYuAIVWvavyjRHfJTpvcltql12GFP0L/s+DuEPct2IBeOXSOy/10vRT9m2LU3Rf1BgBM7Er9gk2nOg7FDLjkGKNaCqK9AepDhGxPQsqlDQC6Gg+lk9BOyyTJo5DiRqsc7xlOD+xS4qpiYX7X/gCA2N7tlEaNt3I6y22SUCWvz7zrxwIA9CQqryFFkUru6/CkwxqshjXYcEJ1xJwZ8DfxDMMwDMMwDMMwDNNO4Jt4hmEYhmEYhmEYhmkn8E08wzAMwzAMwzAMw7QT+CaeYRiGYRiGYRiGYdoJfBPPMAzDMAzDMAzDMO0EttOfACVVZHveVk2211wv2WmFTlZWw+GBkUQGXms5mVyVwVaZUS3pZBb1JKWaVnTDQTZWZbINxem1qpFMl52SHbBbm/+8pXcG2XZX760FAHxVQrbNi3pkIE2apl3S0psrre56lCznlTGbPB6yoALA1io6Nq+djmlgBzJ8P/cJHU9qqhNrSsgk3TGNTJ7TBtAxrdtLBt5R+T4AQH4yGWi9iMBauZP+93UAAJTG6Jj9UinsdSgTcgB6zV6qjgBZxvt2peOIp1O+yij82Y4ahGP0f/9sMpUu3UvnaPBeMgiHa+m9w0f1FPhuA9JGSSN2l0EAAEsDHQ+klT5SRXWopWTBULZhdY7pHTQ31YuykYY3Locllayi5SvJ9m31SGP2VrKmpg4lU76eRMdh1FWZ+WrSDmxIc3CsmtJa0zIBALb8Hqap3iKN8sp4anHS8lgwLPfrNNdr0vQraig/zUbHI6QVX5XfkpplGoM1aeCHbJfCmZJQPxAGbCIm64Osump2AYVpblYmfiMGIdu3LrXPhjT7OtTMBNISrIUb4JbXi5DG4DRpoK+SVlklCY5GDBwM0HZJDqpLp9x2VSmd17M7JZq1zxSS5YwQurRdu+SsBupUaXK53nsEAEBEgrD4ZTuJUD8g9MQQYYQazf/NtiWvU3ionmOZZKSGPL9CzmqgB+sQl7MkRJPI7Fsuz11qOp278kY6v5kOK2LSzmufOhsAsE+u86bQNVEtTea1wRgyPXRsPSL7YG3wH7dumEM0Bqkv2CPrM1VeRwpLaiaEj85XfNd6AIDVRf2tus7dnWgWFlc2nZvGA+WwpKRTBrKPC8rZI9Q1rOKRRdPN2KfL/qTAR31YSS2V7btyancjOlD+EAa0KLVfew2VySbfxzO6AABiug8A4LBqqLNQf61LC32Wh9r122vJ+J0lY/nu2iDykun/AVnUvnfJmVm6FZCl2laxjcpwsAQAENm6FtaOss33PgcAELbRtjYZMdRMDdHyPYiHyLLu2bYEAKD55Iw2Ml5vjtN1FIhE0NVHZdnj6wsAqN9NM5AYylwty1q7lWJm1rCecA8fDwBIqqVYEg1QHQYr6Dq05nam/bqSYJEzTGhOiuXuKqoPRXAr2ert6emo2rCb6lB2vt5SKkumnH1AxaW4tO/rTjc0OaNKXMabuDTOWzvQObJ0JJO+sDthsUvDv5qFxU1tTMU5hdFQA4u0ieuNZPiGbIdqW0g7vapTaDr0MNWHarNClzO/qGkIZNyw64dimfpfmezVDAhy7gFz1qG4sKnuzrSKW8whmzTPyzFO3BAIxdUMQXQNqNlYwjG6Nvwheg1G4siSswAZgrb/y0pqdzcNL8CZSq7PiU4pdBZ2y+szWfYZarakgzJeqPFFhyS7OTOTR1rqhRzjqJmQ4r6OcnkSIMdBaqaDg6BXj4fy8zgqAQAWa8WhWVzk9rXUlSI1bwC9N+g8p2jURwmbCzlz/ggAqLPIGX46DaHjaaC+ojZEbTndZUO3hr0c15hm4W/iGYZhGIZhGIZhGKadwDfxDMMwDMMwDMMwDNNO4Jt4hmEYhmEYhmEYhmkn8E08wzAMwzAMwzAMw7QT2qXYbteuXfD7/ejSpQu8Xm+zafbs2YPy8nL07NkTycnJJ7W/N7/dAwBwSWHGV9tIaPGfw0hiEZPSCos385A0RQq5lCxFi5J8Q/MoIZANts69AQCGFIcFXSQCsgWVkIP2Vx8xEJDiE+lxQ4qD9ikdeHDZE2VEEUOgpC4i01pkWpJ6lIXp/Yp9tQCArRV+DMqjMtSEyMixo5JkNVV+ysMqJVnbNlZAyHzcQ0lS984qEvRtLyURyFONtM1/XdALAJBsqUd4zSIAgHPQuQCAzBwSfsSlDUYJZOp0L1K9aXQQYaozy76NVAYp4bEmk2RpaIc0bK8m4ZGSpKU6qV6SzhpKaaWYp2wFyebyJ44EYlQ+dU6UME5PIqGQpxPJdrR4BNY6EuQJKU1S2yqBTnT39+a28ZoKAIAri/LZs2Qr1VMGSYOUWCi5C4kA6ZiovcRCUj6WSds2lpHoLiWHhFFGfTU0KZYTUiQEgxqDNZVkT1YpFjq8jJo8tvCOTTgcTVp3rF36AwDi3oxD6yIyfyk+1IM1SNxYB6SELsNFx2bz07ELO703hWiy/SMeMf/3qF5Hyqw0+aqOR4sEoSupjCyX103HGDOkCPAwj57XThlGpSwoKttnQySGM43N5SSZS3dZkSLo2lB9kk1eYwOzZZ+pUftXUh44k2DZT+1ZSEmdqn8lolLSKkt6BxhSLiVyqR+Lyn6sRtqfVH/j9WTL7LOgh+i8BmV/tqOGrqNlu0kmqfqbYQWp6JFObWlfPaVZXVoLAGiQ0qeuUjy2+UADrhlKfXG35BQY0fb52fT+/ftRUVGBzp07w+fzNZumoqICJSUl6Ny5MzIzM09qf59uJjFZipRGrjlAbWdKDzrnPil9sqRkkegJgJ5MfbMprgz75XIpsZN9jzcl/ZDoMKMrACAuxXbq2q2TglK/ZoOISlGbVYnE6FWJS5WMUQnBIo5MpFhl/xGT0rTM7gCA0hD1WyU11L57prvQKOWulVJ2ta+BtonIdrjwe6qLuCFwfm8SlO6rpz65tKYxoSxTelB7tx6kuFf62TLkj6fjdnQeSGVy0LWgyX5SZJP4zu6vRWwvydjCm1ZS3XlofGLvORgA0CmfrpeKQAyy2KY4tNMEkl9VbSBR7MENJKLrdD6J7zRdN0WT9iQ6fw4fnTtfH6ofIeWUsbLdEFFZPhXPGmhdpJ4ElyqWxerr4MqgfEoW076TK2XaBooXKd0o/gg5KHGkyn4FgD2T6tS/h/oPn+xPEKw30yiBnYhSXVrSKc5bs6QwT8pfRajRjC+xUpIaKuGmipGWYZ1puYfapRYLm21VCVztcTq/Sk5nqDYtBNJclL8rLIVnbmr3MdmnCc1q5qtQbVfJb9WYRvroYJEN3xGpgdVJ9ZojhYqqfTqkwFjJX51W3YxjStgWiMZxpnHfAhrHZUmR46hOqQjJazdFSplHdqNzrcaAar0MF8jx2syOpEb2PT43nQc1XvfL8YVV1xBJInGgilXVQbpWquV5zfFQP5nkzTSliYE4rdsp+5715dTmauSYeFhHHwCgY3IU1UGLTEPXWtRQLYfYuI+ujevPzkdnbybiwgmGOZJ2Ndr54IMP0KdPH0yePBk/+9nPkJ2djYcffjghTSgUwuWXX45evXrh2muvRU5ODl588cU2KjHDMAzDHJ1ly5ZhxIgRGDVqFG644Qbk5ubipptuQix26EMoIQRmzZqFTp064YYbbkB+fj5mz57dhqVmGIZhGKYtaVffxJeVleGzzz5Dp0401cuiRYswfvx4nHvuuZgwYQIA4NFHH8XKlSuxY8cO5ObmYv78+Zg+fTqGDx+OESNGtGXxGYZhGCaBkpISvP766+jXrx8AYPPmzRg6dCiGDRuGmTNnAgBef/11zJ07F6tWrcKAAQOwevVqjB49GkOGDMHVV1/dlsVnGIZhGKYNaFffxN9yyy3mDTwAjBkzBlarFfv27TOXzZ07FzfddBNyc+kny9OmTUP//v0xd+7cVi8vwzAMwxyLGTNmmDfwANC7d2/k5uYmxLXXX38d06ZNw4AB9BjSsGHDcOGFF+L1119v9fIyDMMwDNP2tKtv4gGgtrYWGzZsQH19PV5//XWcddZZuPzyywHQM4Xl5eUYOnRowjbDhw9HcXHxUfMMh8MIhw8921RXR89t1tfTMylBPz3vIuQzSZFGes4l0EDr6x30rIwj4oew0f/WBkpjCPmcVZSeOdP89PyYCIch5DPAooHyD0bpWR71zKc/SOvjNh3yEWbzmXhFQD4/HwpQHnH5TJW/wYawfAZRj1C5bVF6bZDbNMrjCgUCaPTTdo3yeatQQD4HKJ/licnnsOPhRgj5/Hk0SMcIuU+VJhpUZZD1Y2lAtFE+gyjrpcFN6/yNVF/qeV1hs8Ai00DWlSbdABolRVyjcvsNKxr99OxRIE51F5UVVS/LHwzSefVHaOP6xhAsdvmsvdxPXKYVEUprsTXKV1kOAEI+66me+Yw0yueJ5XHpliAgn2lqCFOagPw5rBGVP4sNUxm00KG2ZhHymGT7U/UUCMnn9gO0H93QIMK0Tsi2pMqryfMMi2wc8Yi53iqPLRQ8tE8A0GR9R49opwCgRWR92Ol4zOfbVV3YYubz7HEbHZstoK4R2aZ1ec6MQ2UyoonehqM9E683NkAPJparMUavDeo52gi9BsJxQPog1DPxdvlsYiAgz3n9oWP7qaOuOXvUCk1Q2xFWOvcR+Rxng3xm3aFTO1LtBQAsfuVboOtJ1b+Q7Sgu272jwQ/DTufAiNMzpkZES8hfPRNvSJ9GRBfQQ/LatdGygF+2zwCdb9XfBP1WBOyqnwrLdZQmElJ9Hu0n0uhHQPah9VojGmSbVv1UeyAUCmH16tVobGzEggULYBgGbr75ZnN9cXExrrzyyoRthg8fjmeeeeaoeR4vrqn+3xqldhGU13BDA53Peo3q0dLoNz0Dmtkn0zrlz4jK9oGYfMbaMGCT5yFmp/01xGRckNduTPbVFk0zz5V6KlQ9h9qo2qOMvfX1MvbEBTT5TLzZjwv5XGuY2m5AtpsGWxSqJfgbE9uUancR1d8YAkE/5WNYLTJNUG4jZBmovqyy7fojUdTLftshyxLS6Jht8rlrvVH2j4FGxGRaFf91TT6jLY/VX69iY8yM57K7Rkz24w0ylqgY0yDjhd1qgSbL1SjTmv4TK+3X4pTnStcPeyZe1ofcJipjVPSwuGHuMy7LLeOaRcZWXW6jnokPB+3mtnZ5zH6ZRpftxeJQ46EQDBWHZZnUOhX/VZyGYZjnPCbPjSH9OeYz8bI/MOS4QItFoEXkOT7CmaG8Baob1ISA7MIQlc86x2PyGXzZp9nk+VDPxAdgN10sCjWmUUTlubQGGxCRYzJ/A+270U/1o8ZfQekmEhYdQVnPjQbVZyhA+1TX8ZmA6vtDFtkGG6wIyXbWKGNGOBCQ6+jZcS2SeJ4bZEwDDvVB9TY1hqL6b4hQHVt0zRxPqL7IL+OORZ7XBtm2hE2DLn0Lfoshy0D5BWX/EpLj3IBfnnctbI7dVZojn4k//D6jPtrQLuMa8+PTpjfx27ZtQ3l5+THTDBs2DE7nIaHDli1b8MADD6CyshIVFRV45plnTLlddTXJkdLT0xPySE9PN9c1x5NPPolHH320yfL8/Pxjlu3Px1z702fHUZavlq9/a62CnAhvftTWJTjNeLKtC8AwJ82bzSxraGhASkpKq5dlz549KCkpOWaa/v37J8jrqqqq8MADD6Curg67du3CQw89hI4dSdYXCoUQDAabjWs1NTUQQkDTEm8YgB8e1+4/5tqfPj8obr39ifzn96ewJCfAl0sPe9NKDqBNx09ydF49VaU4Y3mgrQtwmvLHti7AKebI31q1VVxjTk/a9CZ+3rx5+OSTT46Z5r333kNeXp75fsSIEVi6lALWl19+iUmTJsHj8aCwsBA2m7RShkIJeQSDQdjtdhyNBx98EPfdd5/53jAMVFdXIz09vdnBUWtTX1+P/Px87Nmz56RN+z9luJ5aBtdTy+B6Oj6nYx0JIdDQ0IAOHTq0yf4XL16M11577Zhpnn322QRHS15enhnXvv/+e5x77rkQQuDXv/71MeOa1Wo9aow63eMacHq2n9MNrqOWwfXUMriejs/pWEdtHdeY05M2vYl/6KGH8NBDD/3g7c877zwMHz4cn376KQoLC5Gfnw9d1xOeJQSAffv2JTxLfyQOhwMOR+JPbo82xU9bkpycfNp0KKczXE8tg+upZXA9HZ/TrY7a8puK6667Dtddd90P3r5Pnz64+OKL8emnn+LXv/41LBYL8vLymo1rBQUFR82nvcQ14PRrP6cjXEctg+upZXA9HZ/TrY74G3jmSNqN2M4wjCbfRESjUZSWlpo/M3S73fiP//gPfPDBB2aaQCCAhQsXYuLEia1aXoZhGIY5HgH5LOfh7NixI+Hn8xMnTsSHH3546Nlxw8CHH37IcY1hGIZhzlDajdguHA7j7LPPxk033YS+ffuitrYWr732GhobG3HnnXea6R5//HFMnDgRDz74IEaNGoUXX3wRWVlZuOWWW9qw9AzDMAzTlIkTJ+Kiiy7CkCFDEA6HUVRUhFWrVmHRokVmmoceegjDhg3Dz3/+c1x22WUoKipCeXk55syZ04YlZxiGYRimrWg338S7XC58/vnnqKiowHPPPYf3338f48aNw+bNm9GlSxcz3dixY7F48WKUlJTghRdeQL9+/bB06VJTftcecTgceOSRR5r8NJJJhOupZXA9tQyup+PDdXTyfPrpp9A0DS+//DLeeOMNdO3aFVu2bMGoUaPMND169MA333wDXdfx3HPPwe12Y/ny5cf8OX17gNvP8eE6ahlcTy2D6+n4cB0x7QVN8HwFDMMwDMMwDMMwDNMuaDffxDMMwzAMwzAMwzDMmQ7fxDMMwzAMwzAMwzBMO4Fv4hmGYRiGYRiGYRimncA38e2MzZs3Y+nSpU2m2wOAWCyGtWvXYtOmTThTVQd79+7FunXrmp22SVFbW4vVq1dj7969rViy04NQKIQ1a9Zg69atbV2U04ZAIIC1a9di//79R01jGAY2bNiA7777DvF4vBVLd/rx7bffYtmyZc2uCwQC+Pbbb7Fz585WLhXTntm9ezeWLl2K2traJuuEENi4cSO+++47xGKx1i/cacDBgwexdu3aZutH0djYiG+//RY7duxovYKdJsTjcaxbtw7r16+HYRhtXZzTgkgkgnXr1mH37t3HHA9u27YNa9asaXZMeSaxadMmLF26FJFIpMm6aDSK4uJifP/9921QMoY5BoJpN2zYsEF4PB4BQGzbti1h3dKlS0Vubq7o1KmTyMzMFH379hXbt29vo5K2Ph988IHo37+/yMvLEwMGDBAej0c8/PDDTdI9/fTTwul0ij59+giXyyUKCwtFOBxugxK3Ph9++KFIS0sT3bp1Ez6fTwwfPlyUlZW1dbHajH379olrr71WpKSkiEGDBgmfzyfGjBkjSkpKEtJt3LhRdO/eXeTk5Ii8vDzRqVMnsWrVqjYqdduyYMECoeu6cDgcTda9++67IikpSfTs2VMkJSWJcePGidra2jYoJdOeKC8vFx06dBAAxKeffpqwbsuWLaJ3794iKytL5Ofni7y8PLFs2bI2Kmnrs2zZMjF69GiRlZUlBg0aJFwul7jppptENBpNSFdUVCSSk5NFjx49RFJSkhg7dqyorq5uo1K3LmvWrBEFBQUiLy9P5OTkiG7duon169e3dbHajIaGBnHPPfeI1NRUMWDAAJGdnS369u0rVq9enZCuvLxcjBw5Uvh8PtG9e3eRmpoqFixY0EalblvWrFkjXC6XACD27NmTsG7RokUiOztbdO7cWaSnp4uBAweK3bt3t1FJGSYRvolvJzQ2Nor+/fuL+++/v8lNvN/vFzk5OWLWrFlCCCFisZiYNGmSOPvss9uquK3OCy+8IDZs2GC+//e//y1sNpt47733zGVffvml0DRNfPbZZ0IIIUpKSkRWVpZ49NFHW728rU1ZWZnwer3iiSeeEEJQezr77LPFJZdc0sYlazuWLVsm3n77bRGLxYQQQtTX14tzzjlHjBs3zkwTj8dFv379xBVXXCEMwxBCCHH99deLgoKCM+bDH8WePXtEx44dxV133dXkJn7btm3CZrOJ1157TQghRE1NjejVq5e48cYb26KoTDvBMAwxefJkMWfOnGZv4gcPHiwuueQS8xq99dZbRYcOHUQwGGyL4rY6b775pli6dKn5fsuWLSI1NVX8/ve/N5ft3LlT2O128fLLLwshhKirqxN9+/YV1157bauXt7WJRCKia9eu4vrrrxdCUHu68sorRe/evUU8Hm/bwrURu3fvFs8995xobGwUQlAd/ed//qfIy8tLqJNp06aJYcOGiUAgIIQQ4sknnxRut1scOHCgTcrdVjQ0NIhevXqJX/3qV01u4uvq6kR6erq4//77hRBUl+PGjRNjxoxpq+IyTAJ8E99OuPnmm8XMmTPFkiVLmtzEv//++0LXdVFeXm4u+/LLLwWAM/oT6UGDBom77rrLfH/dddeJkSNHJqSZPXu2KCgoaOWStT7/8z//I7xeb8Lgt6ioqEm7OdP505/+JBwOh3nDvmzZMgFArF271kyzffv2Zm84fsrEYjFx7rnnipdeekm88sorTW7iH374YZGbm2vWmxBCvPTSS8LpdJqDSYY5kj/+8Y9i4sSJYv/+/U2uqTVr1ggAYvny5eayPXv2CE3TxD/+8Y82KO3pwRVXXCEuvPBC8/1jjz0msrKyEm7QVD/m9/vbooitxueffy4AJPzqcO3atQKAWLJkSRuW7PRCjQd37NghhBDi4MGDQtd1UVRUZKYJBoMiKSlJPPfcc21Uyrbh2muvFffcc4/44osvmtzEv/XWW8Jms4mamhpz2T//+c9mfw3LMG0BPxPfDvjb3/6GJUuW4Nlnn212fXFxMfLz85GVlWUuGz58uLnuTKSmpgY7duxA9+7dzWXFxcUYOnRoQrrhw4ejpKQENTU1rV3EVqW4uBj9+vWD0+k0lw0fPhyGYeC7775rw5KdXqxatQpdu3aFpmkAqN6sVisGDhxopunWrRvS0tLOqGvrscceg9frxR133NHs+uLiYgwZMsSsN4DaVygUwubNm1urmEw7YuXKlXjuuefwxhtvJLQbhbq+hgwZYi7r2LEjcnNzz6hr73CU9+bIuDZ48GDo+qHh3PDhwxEOh7Fp06a2KGarUVxcjJSUFHTr1s1cdtZZZ8Fut5+xbaQ5Vq1aBafTiby8PADAunXrYBhGwnjI6XRiwIABZ1S9vfPOO1i7di3+8Ic/NLu+uLgYXbt2hc/nM5ed6WNr5vTC2tYFONMwDOOoUihFamoq+vXrB4CEP7fffjv++c9/wu12N5u+uroa6enpCctcLhdcLheqq6tPTcFbmcrKyuMO/rt164bc3Nwmy4UQuOWWW5Camorrr7/eXN5cPan31dXVSE1NPQUlPz053rEzwGeffYa5c+finXfeMZdVV1cjLS2tyU1Genr6GVNv//73v/HnP//5mIOW6urqhIE0wO3rTGPlypXNSqEULpfLvGmor6/HjBkz8PLLL6NDhw4oKytrkr66uhrJycmw2WwJy9vztef3+7F27dpjpsnLy0OXLl2aXfdf//VfKC8vxz333GMuq66uNm/OFGfKtddcXAPadxs51WzatAmPPfYY7r//fjgcDgCH2kVzY4Izpd62bduGe++9F4sXLzbr5Uiaa18+nw+6rp8x9cSc3vBNfCsTDofxwAMPHDPNyJEj8cwzzwAAbrnlFowfPx6NjY1YunQp1q9fD4AM0ZqmoVu3brDZbE3MokIIRCIR2O32H+dAfmS+++47PPLII8dMc9999+Gyyy5rsnzWrFlYtGgRFi1ahJSUFHN5c/UUDAYBoN3WU0ux2WxoaGhIWHamHHtLWL58Oa688ko8+OCDmDFjhrm8uTYDUN2dCfUmhMA111yDG264Adu2bcO2bduwY8cOCCGwdOlS84O0M/naYojf//73qKqqOur6jh07oqioCADwwAMPoEOHDsjMzMTSpUvNAfHGjRvRsWNH9O/f/yd57e3bt++48f+qq67CrFmzmix/4YUX8Pzzz2P+/Pno2rWrufxMvvZ+im3kVLJ7925MnjwZF154IR5++GFzufpgrLl2k5yc3KplbCt+8YtfYMqUKaitrcXSpUuxYcMGAPSrhWg0ii5dujTbviKRCAzD4PbFnBbwTXwr43K5sHTp0hanz8zMRElJiRn46+vrAQBPP/00fvazn2H27NkoKCjAgQMHIIQwvzE8cOAA4vE4OnXqdOoPohUYP348xo8ff8Lb3XvvvXj33XexcOFCnHXWWQnrCgoKsG/fvoRl+/btg81mQ05OzkmV93SnoKDA/ABIoeqivbaRU8WKFSswadIk3H777Xj88ccT1hUUFKC+vh4NDQ1ISkoCQEH84MGDZ0S9GYaBzp0746uvvsJXX30FACgrK0M0GsUDDzxgfpBWUFCA7du3J2zL7evMYsGCBS1Om5SUBCGEGdei0SgAYO7cudi7dy+ee+45FBQUIBKJoLKyEhkZGQBoKrHy8vJ226Z69ep1QvFf8dJLL2HOnDn4+9//jsmTJyesKygoMG9AFGfKtVdQUIDKysqELywCgQDq6up+8sd+PHbv3o3zzjsPw4cPx7vvvguLxWKuKygoAEDt5PBfM+7btw/9+/dv9bK2BdnZ2dixY4fZB9XV1QEAnnzySfznf/4nZs2ahYKCAnz44YcJ250p1xbTTmjLB/KZE6c5sZ0Sufz73/82l7388svC6XSKurq6tihmm3DvvfeK1NTUJlOpKB5//HGRmZkpQqGQuWzKlCli4sSJrVXENkPJWLZs2WIue/jhh0VmZmaT6YrOJFauXClSUlJM++yRlJWVCavVKt59911z2QcffCA0TTujpnA8nObEdu+8846wWq0JksTbb79d9OjRo7WLx7RDDhw40ERsV1VVJex2u/jf//1fc5kSmW3cuLEtitkmvPTSS8LhcIgPP/yw2fVFRUXCYrGI/fv3m8tmzZolunTp0lpFbDN27twpNE1LmBrtr3/9a5P6ONMoKSkRnTt3Fpdffnmz8T0Wi4ns7Gzxm9/8xly2ZcsWAUB8/PHHrVnU04bmxHbLly8XAMSKFSvMZf/93/8tvF6vafVnmLaEv4n/CXDWWWdhxowZuP766/HEE0/A7/djzpw5eOihh86Yn0Y9/PDDeOGFF/Dcc88hGAya33ZkZGSgd+/eAIDbb78dr732Gi677DLMnDkTX375JRYuXIh///vfbVn0VuGCCy7A+eefjyuuuAIPP/ww9u7diz/84Q948cUXYbWemd3Axo0bccEFF+Dss8/GJZdckvAN2ciRI2G1WpGdnY17770Xs2bNQjgchs1mw/3334+bb765yTPgZzKFhYX47//+b0ydOhX3338/vv/+e7z66qt477332rpoTDslLS0Nc+bMwS9/+UsYhgG32405c+bguuuuQ9++fdu6eK3Cm2++ibvuugtz5syBz+cz+yiv14tBgwYBAK644go8++yzmDp1Kh588EFs2bIFL7/8Mt599902LHnr0KVLF8ycORO33nor6urqEI/HMXv2bNx9993N+nLOBA4ePIhx48bB7XbjzjvvxPLly811AwcORHJyMiwWC5544gncdtttSE1NRadOnfDoo49i7NixuPDCC9uw9KcXI0aMwPTp03HNNdfg8ccfR3V1NX7zm9/gkUceOaqjimFaE00IIdq6EEzLWb9+PW677Ta89957CTKbSCSCF198EZ9//jnsdjsuv/xy3HDDDW1X0FbmpptualaEN27cOPzud78z3+/btw9//OMfsXHjRuTm5uKuu+7CiBEjWrOobUYgEMCzzz6LJUuWwOv14tprr23WKXCm8NFHHx3VSvvxxx+bPgXDMPCXv/wFCxYsgGEYmDJlCm677bYz9sOPBQsW4H/+53/wr3/9K2F5bW0t/vjHP2LVqlVITU3FTTfdhEmTJrVRKZn2RHV1NS699FI8++yzCf2xEAJvvPEG/v73vyMWi2HSpEm48847m8jufqr89re/xcKFC5ss79GjB+bOnWu+r6urw1NPPYUVK1bA5/PhF7/4xRlzMxaPx/HKK6/g448/hqZpuPTSS3HLLbck2PrPJNQYsTleeeUVDBgwwHw/f/58vPXWW2hoaMA555yDX/3qV/B4PK1V1NOK1atX45577sE//vEPZGZmmsvD4TCef/55LFq0CA6HA4WFhbjmmmvasKQMcwi+iWcYhmEYhmEYhmGYdsKZ+VElwzAMwzAMwzAMw7RD+CaeYRiGYRiGYRiGYdoJfBPPMAzDMAzDMAzDMO0EvolnGIZhGIZhGIZhmHYC38QzDMMwDMMwDMMwTDuBb+IZhmEYhmEYhmEYpp3AN/EMwzAMwzAMwzAM007gm3iGaSFlZWV4//33f5S8KysrUVRUBCHED85j586dKCoqQlFREdavX/+j7osh1q5da9Z5SUlJWxeHYRjmhAgEAigqKoLf7z/leUciERQVFaGuru4H56HiVVFREb7++usfdV8M0dKxBMMwbQvfxDOnPfPmzcOOHTvauhhYu3Ytrr76avP9/v37MW/evFOS9+bNmzFjxgzE4/EfnMeiRYvwi1/8AvPnz8f333//o+7rTGTVqlX45ptvEpZt3LgR8+fPx4033oglS5a0UckYhmlvfPbZZyguLm7rYuDgwYOYMWMGysrKAAB+vx9FRUUIBAInnXd9fT1mzJiBPXv2/OA8VLz6v//7P6xatepH3deZyJYtW/DZZ58lLCspKcH8+fMxa9YsvPfee21UMoZhjgffxDOnPddeey2++OKLti4GcnNzUVhYaL5fs2YNrr322jYsUVMyMzNRVFSEq666qq2L8pPj1VdfxQsvvJCw7JprrkFRURFSUlLaqFQMw7RH5syZgzfffLOtiwGPx4PCwkIkJSUBoF+czZgxAwcPHmzjkiXy1ltv4Z577mnrYvzk+PDDDzFnzpyEZePGjUNRURH69u3bRqViGKYlWNu6AAxzKtiyZQs2bdqE9PR0jBo1CjabzVy3d+9erFy5EtOnT8f69etRWlqKfv36oUuXLk3yWblyJQ4ePIh+/frB6/Vi4cKFKCwshKZpyM7OxtSpUwEAVVVVWLJkCQzDQFFREQCgV69eSE5OxubNm3HRRReZeVZUVGDRokVmPorVq1ejvLwc/fr1O+pxHThwAKtXr0ZSUhKGDBmC5OTkH1Q/p2pfx6ofVc/Tpk3DihUrsHfvXkyePNkcHK5btw47d+5Efn4+Bg8eDF1v+hliS9Ici2Ntv2HDBmzYsAEA4PP5MGDAAOTl5TXJY/fu3diwYQMyMzMxZMgQ2Gw2M99QKGSe7/PPPx9ZWVknVD6GYZiWsnfvXnz77bdwu90455xz4Ha7zXV1dXX49NNPMW3aNOzZswdbtmxB586d0b9//yb5bNq0Cdu3b0ePHj3QtWtX/OMf/8CFF16IlJQUuN1uTJs2DR6PB9FoFB9//DEAurnLzMxEbm4u+vTp0ySGhUIhzJ8/38xH8f3332Pbtm3o0aMHMjMzmz2u2tpaLF++HLquY/DgwUdNdzxO1b6OVT+H1/OWLVuwfft2jBw50owdO3bswIYNG5CVlYXBgwfD6XQ2yb8laY7FsbYvLS3FsmXLANAHMn369EH37t2b5FFeXo7i4mK4XC4MGzYMHo8Hu3btwtq1a1FbW2vGtbPPPhvdunU7ofIxDNNGCIY5zXE4HOKVV1456vqbb75ZeL1eMWnSJNG1a1fRs2dPsWvXLnP9vHnzhNvtFhMmTBCjRo0SEydOFHa7Xbz++utmmng8LqZPny5SUlLE5MmTRUFBgZg8ebIAIKLRqBBCiE8//VRYLBYhhBDbtm0TY8aMEbqui8LCQlFYWCjefPNN8corr4hu3bollG/x4sUJ+RiGIX72s5+Z++rUqVOTfQkhxGOPPSZSUlLEpEmTxJgxY0RmZqb44osvjloPf/7zn0VBQUHCslO1r5bUj6rncePGiREjRojCwkKxb98+UVdXJyZOnCjy8/PFJZdcInr06CGGDx8uysvLzfxbkuZYtGT7efPmmedqwoQJwu12i2eeeSYhn0ceeUQkJSWJKVOmiNGjR4tBgwaJnTt3ir/+9a+ia9euolOnTmYeGzduNLfLzs4Wb7/9dovKyjAMc9ZZZ4m77777qOv/8Ic/CJfLJc4//3wxYMAAkZWVJb755htz/fr16wUAcemll4oBAwaIKVOmCLfbLR588MGEfObMmSOcTqeYMGGC6NOnj7jwwgsFALF+/XohhBC7du0SAMS2bdtEIBAQF110kQAgLr74YlFYWCiefPLJJjFMCCEOHDiQkI8QQvzmN78x99W7d+8m+xJCiLffflv4fD4xbtw4ccEFF4iUlBTxv//7v0ethyVLlggAIhgMJiw/Vfs6Xv2oer7oootEv379xJVXXilWrVolYrGY+PnPfy4yMjLERRddJAYPHiy6desmNmzYYObdkjTHoiXbL1u2zIxJU6ZMEcnJyWLmzJkJ+bz11lvC6/WK8ePHiwkTJoiePXuKZcuWiS+//FIMGjRI+Hw+M4/D4/7YsWPFr3/96xaVlWGY1odv4pnTnmPdxP/tb38TDofDDGqhUEiMHTtWXHLJJWaaefPmCQDipZdeMpc988wzIisry3z/17/+VXg8HrF9+3YhhBB+v18MHjz4qDfxQgjx4YcfCofDkVCeltzEv/fee8Lj8Yht27aZ+zrrrLMS0nzwwQciKytLlJSUmPn85S9/ETk5OU0GM4rmbuJP1b5aUj+qnp988smEMvz85z8Xl1xyiYhEIkIIGphMnTpVXH/99SeU5lj8kO1XrVol7Ha72L17txCC2o7VahWLFi0y02zevNm8Wf/FL34hCgsLm82Lb+IZhjkRjnUTv27dOqHruvjoo4/MZTfeeKPo06eP2d+qm8u77rrLTPPRRx8Ji8UiKioqhBBCfPvtt0LTNLNPUx/GHu0mXgj6gBpAwgfhLbmJX7t2rdB13dxXLBYTl156aUKajRs3Co/HI1asWGHm89VXXwmn02n2w0fS3E38qdpXS+pH1fMNN9wgDMMw83rqqafEgAEDRF1dnbls9uzZYsSIESeU5lj8kO337NkjUlNTxcKFC81l3bt3Fy+//LL5vqysTHz99ddCCCGefvppcdZZZzWbF9/EM8zpDf+cnmnXFBUVYerUqebPxB0OB371q1/h4osvRiAQgMfjAQBYLBbccsst5nbnnXceZs+ejdraWvh8Pvztb3/D9OnTzZ+ReTwe3HHHHbjppptOeZnff/99TJ8+3fzJm9rX4eWbO3cu+vXrh5UrV2LFihUQQsBqtaKsrAzff/89Bg8e3Kr7OpH6ueuuu8z/I5EI/vrXv+Luu+/GggULIOiDQ3Ts2BEffvhhi9McixPZvq6uDmvXrkVFRQXi8Ti8Xi/WrFmDgoIC6LoOu92O9evXY+zYsdB1Hb169WpRPTMMw5wq3n//ffTv3z/hsaxf//rX6N69O9atW4chQ4aYy2fOnGn+f9555yEej2PHjh3IzMzE3//+dwwdOhTjxo0DAOi6jl/+8pf4xz/+ccrLPG/ePAwZMsTcl8ViwezZs/HBBx+Yad555x3k5eWhtLQUJSUl5gwpbrcby5YtQ0FBQavu60Tq56677kp4HG7u3LkYOnQoPv/8czPmpKWlYeXKlebYoyVpjkVLtw+Hw1i9ejUOHDiAWCyGvLw8rFy5EuPHjwcAuFwufP/994hEIrDb7cjOzkZ2dnaL6pphmNMXvoln2jUlJSVmoFKoG83S0lL06dMHAOD1ehOek3c4HADouT4A2LNnDyZNmpSQT+fOnX+UMpeWljbZ15HP5+/evRvhcBh/+9vfEpYXFhae0HPip2pfLa2f5OTkhIFJWVkZQqEQiouLsXv37oS0Y8eObXGaY9HS7d9//33cfPPN6NGjB/Lz8+FwOBCJRFBRUQEAsNlseOedd/DLX/4Sjz/+OMaOHYsZM2bgsssuO24ZGIZhThUlJSXo2rVrwrIuXbpA13WUlJQk3MSnpaWZ/zcX147sp3/MuHZk3s3FmmAw2CTWTJw4ET6fr9X3dSL1k5ub2yT/lJSUJvlfddVVCAaD8Hg8LUpzLFqy/fLlyzFt2jSkpaWhe/fucLvdqK6uNuMaALz22muYOXMmMjMzMXr0aEyfPh033HADrFa+BWCY9gxfwUy7JiMjA9XV1QnL1PuMjIwW55OWloba2tqEZTU1NSdcHl3XYRhGwjI1oFKkp6c3yfvI98nJyejUqRPeeuutEy7Dj7GvltbP4d9UADCldrfeeutRb4ZbkuZYtHT7O++8E3/4wx9w2223mct8Pp/5DQ0ATJ8+HdOnT8fWrVvxySef4MYbb8TevXsxa9asEy4XwzDMDyEjIwMlJSUJy2pra2EYxgnHtY0bNyYs+6FxDUBCbGsurh05p3hzsSYnJ8eUqP1QTtW+TqR+joxtycnJuOSSS/DQQw8dNf+WpDkWLdn+/vvvR2FhYcLMKSNHjkyIayNHjsTatWuxd+9efP755/jtb3+LNWvW4OWXX/5B5WIY5vSAp5hj2jWjR4/Gxx9/jHA4bC6bN28eevbseULG23POOQcff/wxYrGYuWzBggXH3Mbr9SIajSYMbPLy8nDgwIGEOXYXL17cbJmj0ai57P/+7/8S0kyePBkLFizAgQMHEpbv27evxcd0Kvf1Q+oHAFJTUzFixAi8+uqrCYOKw/NvSZqT3Uc0GkV1dXXCz+MXLlyIuro6831jY6P5QUXPnj1xzz334OKLL8by5csB0Pk+cuDKMAxzqhk9ejSWL1+O/fv3m8vmzZuH5ORkDBw4sMX5nHPOOVi2bBkqKyvNZS2Ja0DiTboysW/fvt1c1lxcW7ZsWcLUdM3Fmm+//bbJfO+1tbVobGxsySGd0n39kPo5PP+5c+cmjD2AxJjVkjQnu4+ysrKEuLZz504UFxc3m75jx474+c9/jptvvpnjGsP8BOBv4pl2werVq5t8oj5ixAjcfffdeOONN3D++efjuuuuw4YNG/Dqq6+2OBAr7rrrLrz66quYNGkSCgsLsXr1avzzn/8E0PQTeEW/fv1gt9sxZ84cDB06FL169cK4ceOQkZGBK6+8EldccQXWrl3b5Kdwal8XXHABZsyYgRUrVmDhwoUJae6++2589NFHGDFiBG6//XakpaVhzZo1+Oqrr7Bp06YTPq6T3dcPqR/Fn/70J0yYMAETJkzAFVdcgWAwiC+++AK9e/fGc8891+I0J7MPm82GKVOm4K677sLdd9+N8vJyvPjii3C5XGYedXV1GDNmDKZOnYr+/fujtLQU8+fPx9tvvw0AGDZsGN566y288sorSE1N5SnmGIY5KbZu3dokrvXt2xeXXXYZRo8ejfPPPx933nknDh48iKeeegpPPfVUwnRux+Pyyy/H008/jfHjx+PWW29FaWmp+Yuro/Xb2dnZyM/Px+OPP44pU6YgLy8PY8eOxTnnnIPrrrsOM2fORElJCd59992E7S677DI888wzOP/883Hbbbdh9+7dZt+pmDp1KmbMmIGJEydi1qxZKCgowKZNm/DBBx/gq6++SphC71icqn39kPpRPPnkkxgzZgyGDx+OG2+8ETabDV9//TXq6+vx0UcftTjNye5j2rRp+N3vfodYLIZ4PI7nn38+Ia4BwIQJE3Duuedi2LBhqK+vx//7f/8Pd999NwCKa9u2bcPTTz+N/Px8nmKOYdoR/E08c9pz1VVXwe/3Y/78+Ql/paWl8Hg8WLlyJaZOnYply5bBarVi+fLluPDCC83t8/Pzcfnllyfk6fP5UFhYaAY7n8+HlStXYvjw4Vi5ciX69etn3uRZLBYA9ExcYWGhmUdmZiYWLlyIcDiMBQsWYP369XC73Vi+fDkGDRqE5cuXo3fv3vjkk08Sni9PTk7GypUrMWrUKKxcuRIDBw7EF198kZDG5XJh8eLFeOKJJ7Br1y6sWbMGw4YNw5o1a45ZV4FAAEVFReZPDU/VvlpSP83VMwAMGjQIGzduxAUXXIAVK1bgwIEDuPfeexNuzluS5li0ZPuioiLccMMN+Prrr1FXV4fPP/8ct9xyiyn9y83NxapVq5CXl4elS5fC7/fjX//6l/kT/auvvhpPP/001qxZg/nz56OyshJr165FUVERf5PBMMwJMXnyZCQnJzeJa+rn3Z988gnuuecefPvtt6isrMQHH3yQIA09MoYB9LP3wsJC88NFXdfxr3/9C4WFhVi1ahWSk5Mxb948AIceQ/J4PCgsLDTfa5qGzz77DDk5Ofj444/xzTffmOWZPn06vvnmGyQlJWHx4sUoLCw0ny/XNA1ffPEFrr76aqxatQo+nw/Lli1rkuadd97BO++8g5qaGnzzzTfIz8/HypUrmzxzfiTz5s3D119/fUr31ZL6aa6eAYoXa9euxa233op169Zhy5YtmDZtWoJcryVpjkVLtn/yySfx2GOPYe3atdi5cyfmzp2Lhx56KMGbUFxcjGHDhmHVqlUoLS3F66+/jgcffBAA3cT//e9/x86dO7FgwQLs2rULO3fuRFFRUcJz9QzDnH5o4sjfnzLMGUp1dXWCJGjmzJnYuHEjlixZ0oalajmLFy/Gq6++CoC+qbjqqqtOaf7tvX5+DN59913TgH/nnXdi9OjRbVwihmGYQxzZbz///PN44oknUF5eftxvm08HtmzZgkceeQQAPdt9zz33nNL823v9/Bj82GMJhmFODXwTzzCS8ePHY9SoUejcuTOWLFmCefPmYf78+bjgggvauminBW1VP7FYrMkjCYczYcKEE5I9MQzDnCnceOON5rP0GzZswJ/+9Cc899xzCVPTncm0Zf188MEHR3UBDB8+vMkMBQzDMIfDN/EMI6mursZf/vIXbNmyBR07dsTVV1/N84QfRlvVTzgcxvXXX3/U9Y8++iifJ4ZhmGYIhUJ4/fXXUVxcjIyMDFx66aUYNWpUWxfrtKEt6+eOO+5AVVVVs+tuvfVWc/56hmGY5uCbeIZhGIZhGIZhGIZpJ7DYjmEYhmEYhmEYhmHaCXwTzzAMwzAMwzAMwzDtBL6JZxiGYRiGYRiGYZh2At/EMwzDMAzDMAzDMEw7gW/iGYZhGIZhGIZhGKadwDfxDMMwDMMwDMMwDNNO4Jt4hmEYhmEYhmEYhmkn8E08wzAMwzAMwzAMw7QT+CaeYRiGYRiGYRiGYdoJ/z+Lm521UZ2PaQAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1000x500 with 3 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
-    },
+    }
+   ],
+   "source": [
+    "err_baseline = monthly_test_subset[var_name] - input_data_averaged[var_name]  # M - mean(D)\n",
+    "err_predictions = monthly_test_subset[var_name] - predictions  # M - M_hat\n",
+    "\n",
+    "masked_err_baseline = err_baseline.where(ocean)\n",
+    "masked_err_predictions = err_predictions.where(ocean)\n",
+    "plot_results(masked_err_baseline, masked_err_predictions, label=\"error kg/m2\", title=(\"err_Baseline\", \"err_Prediction\"), error=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "a7420dc7-fe1b-4f34-a62e-5914091f04b7",
+   "metadata": {},
+   "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x400 with 1 Axes>"
       ]
@@ -1387,32 +697,15 @@
     }
    ],
    "source": [
-    "# add to monthly average\n",
-    "input_data_averaged = hourly_test_subset.resample({\"time\": \"MS\"}).mean(skipna=True)\n",
-    "input_data_averaged[\"time\"] = monthly_test_subset[\"time\"]\n",
-    "predictions = input_data_averaged[var_name] + predictions_res[var_name]\n",
-    "\n",
-    "ocean = ~lsm_subset[\"lsm\"].values\n",
-    "masked_target = monthly_test_subset[var_name].where(ocean)\n",
-    "masked_pred = predictions.where(ocean)\n",
-    "plot_results(masked_target, masked_pred, label=\"Water Vapour kg/m2\", title=(\"Target\", \"Prediction\"))\n",
-    "\n",
-    "err_baseline = monthly_test_subset[var_name] - input_data_averaged[var_name]  # M - mean(D)\n",
-    "err_predictions = monthly_test_subset[var_name] - predictions  # M - M_hat\n",
-    "\n",
-    "masked_err_baseline = err_baseline.where(ocean)\n",
-    "masked_err_predictions = err_predictions.where(ocean)\n",
-    "plot_results(masked_err_baseline, masked_err_predictions, label=\"error kg/m2\", title=(\"err_Baseline\", \"err_Prediction\"), error=True)\n",
-    "\n",
     "plot_histograms(masked_err_baseline, masked_err_predictions, label=\"error kg/m2\", legend_labels=(\"err_Baseline\", \"err_Prediction\"))"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "ClimaNet (3.13.9.final.0)",
+   "display_name": "CLIMANET Kernel",
    "language": "python",
-   "name": "python3"
+   "name": "my-kernel"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1424,7 +717,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.9"
+   "version": "3.14.3"
   }
  },
  "nbformat": 4,

From f0409a7c8a76fec928e4763908b62018b35c0d36 Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Tue, 8 Sep 2026 13:27:55 +0200
Subject: [PATCH 29/38] add commented out code section for generating 0.5 deg
 lsm

---
 .../training_daily_watervapor.ipynb           | 22 +++++++++++++++++++
 .../training_hourly_watervapor.ipynb          | 22 +++++++++++++++++++
 2 files changed, 44 insertions(+)

diff --git a/notebooks/watervapor/training_daily_watervapor.ipynb b/notebooks/watervapor/training_daily_watervapor.ipynb
index 69fc294..339a94c 100644
--- a/notebooks/watervapor/training_daily_watervapor.ipynb
+++ b/notebooks/watervapor/training_daily_watervapor.ipynb
@@ -29,6 +29,28 @@
     "## Read data"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0527f887",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Make land-sea mask at 0.5 degree resolution from 0.25 degree resolution used in SST\n",
+    "\n",
+    "# # down sample lsm_mask_025 by a factor of 2 by averaging\n",
+    "# lsm_mask_025 = xr.open_dataset(\"../eso4clima/sst/era5_lsm_bool.nc\")\n",
+    "# lsm_mask_05 = lsm_mask_025.coarsen(lat=2, lon=2, boundary='trim').mean()\n",
+    "\n",
+    "# # make >=0.5 to 1, and <0.5 to 0\n",
+    "# lsm_mask_05 = lsm_mask_05.where(lsm_mask_05 >= 0.5, 0)\n",
+    "# lsm_mask_05 = lsm_mask_05.where(lsm_mask_05 < 0.5, 1)\n",
+    "# lsm_mask_05['lsm'] = lsm_mask_05['lsm'].astype(bool)\n",
+    "\n",
+    "# lsm_mask_05.to_netcdf(\"./era5_lsm_bool_05.nc\")\n",
+    "# lsm_mask_05.isel(time=0)['lsm'].plot()"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 2,
diff --git a/notebooks/watervapor/training_hourly_watervapor.ipynb b/notebooks/watervapor/training_hourly_watervapor.ipynb
index 93d2376..cc26d71 100755
--- a/notebooks/watervapor/training_hourly_watervapor.ipynb
+++ b/notebooks/watervapor/training_hourly_watervapor.ipynb
@@ -29,6 +29,28 @@
     "## Read data"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5bdd29f8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Make land-sea mask at 0.5 degree resolution from 0.25 degree resolution used in SST\n",
+    "\n",
+    "# # down sample lsm_mask_025 by a factor of 2 by averaging\n",
+    "# lsm_mask_025 = xr.open_dataset(\"../eso4clima/sst/era5_lsm_bool.nc\")\n",
+    "# lsm_mask_05 = lsm_mask_025.coarsen(lat=2, lon=2, boundary='trim').mean()\n",
+    "\n",
+    "# # make >=0.5 to 1, and <0.5 to 0\n",
+    "# lsm_mask_05 = lsm_mask_05.where(lsm_mask_05 >= 0.5, 0)\n",
+    "# lsm_mask_05 = lsm_mask_05.where(lsm_mask_05 < 0.5, 1)\n",
+    "# lsm_mask_05['lsm'] = lsm_mask_05['lsm'].astype(bool)\n",
+    "\n",
+    "# lsm_mask_05.to_netcdf(\"./era5_lsm_bool_05.nc\")\n",
+    "# lsm_mask_05.isel(time=0)['lsm'].plot()"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 2,

From 54e17d6635c824be04591cd31b2af6d44d4d85ca Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Mon, 14 Sep 2026 10:36:25 +0200
Subject: [PATCH 30/38] 95 watervapor lsm util func (#96)

* implement lsm convertion func from sst to wv

* add unit test; fix linting issue

* update notebooks with lsm conversion func

* linting

* rerun daily notebook

* Apply batched suggestions from code review

Co-authored-by: SarahAlidoost <55081872+SarahAlidoost@users.noreply.github.com>

* rename function

* update variable name

---------

Co-authored-by: SarahAlidoost <55081872+SarahAlidoost@users.noreply.github.com>
---
 climanet/utils.py                             | 30 ++++++++-
 .../training_daily_watervapor.ipynb           | 62 ++++++++-----------
 .../training_hourly_watervapor.ipynb          | 40 +++---------
 tests/test_utils.py                           | 60 +++++++++++++++---
 4 files changed, 115 insertions(+), 77 deletions(-)

diff --git a/climanet/utils.py b/climanet/utils.py
index 98bcb14..3278665 100644
--- a/climanet/utils.py
+++ b/climanet/utils.py
@@ -789,7 +789,9 @@ def data_preparation(
 
     # rechunk data
     input_da = input_da.chunk({"M": 1, "T": -1, "lat": 100, "lon": 100})
-    input_da_nan_mask = input_da_nan_mask.chunk({"M": 1, "T": -1, "lat": 100, "lon": 100})
+    input_da_nan_mask = input_da_nan_mask.chunk(
+        {"M": 1, "T": -1, "lat": 100, "lon": 100}
+    )
     monthly_da = monthly_da.chunk({"M": 1, "lat": 100, "lon": 100})
     padded_days_mask = padded_days_mask.chunk({"M": 1})
     time_features = time_features.chunk({"M": 1})
@@ -891,3 +893,29 @@ def read_st_data(data_path=".", var_name="tos"):
 
     # if one of the datasets is None, we need to compute them
     return input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features
+
+
+def coarsen_land_mask(
+    input_lsm: xr.DataArray | xr.Dataset, coarse_factor: int = 2, threshold: float = 0.5
+):
+    """Coarsen spatial resolution of land mask data by coarse_factor.
+
+    It also applies a threshold to values outside of [0,1].
+    see https://confluence.ecmwf.int/spaces/FUG/pages/673550380/Section+2A.1.3.1+Land-Sea+mask
+
+    Args:
+        input_lsm (xarray.DataArray): Land-sea mask from ERA5-Land data.
+        coarse_factor (int, optional): Factor by which to coarsen the resolution. Defaults to 2.
+        threshold (float, optional): Threshold for determining mask value. Defaults to 0.5.
+
+    Returns:
+        xarray.DataArray | xarray.Dataset : Coarse land-sea mask.
+    """
+    coarse_lsm = input_lsm.coarsen(
+        lat=coarse_factor, lon=coarse_factor, boundary="trim"
+    ).mean()
+
+    # Apply threshold
+    coarse_lsm = coarse_lsm >= threshold
+
+    return coarse_lsm
diff --git a/notebooks/watervapor/training_daily_watervapor.ipynb b/notebooks/watervapor/training_daily_watervapor.ipynb
index 339a94c..83becd9 100644
--- a/notebooks/watervapor/training_daily_watervapor.ipynb
+++ b/notebooks/watervapor/training_daily_watervapor.ipynb
@@ -2,17 +2,26 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "f8fe27a3-710c-47b0-95c7-00d764eec025",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2026-09-10 16:14:01,684\tINFO util.py:155 -- Missing packages: ['ipywidgets']. Run `pip install -U ipywidgets`, then restart the notebook server for rich notebook output.\n",
+      "2026-09-10 16:14:02,808\tINFO util.py:155 -- Missing packages: ['ipywidgets']. Run `pip install -U ipywidgets`, then restart the notebook server for rich notebook output.\n"
+     ]
+    }
+   ],
    "source": [
     "from pathlib import Path\n",
     "import xarray as xr\n",
     "import torch\n",
     "import torch.nn.functional\n",
     "from climanet.st_encoder_decoder import SpatioTemporalModel\n",
-    "from climanet.utils import set_seed, configure_compute_resources, plot_results, plot_histograms, plot_loss, data_preparation, read_st_data\n",
+    "from climanet.utils import set_seed, configure_compute_resources, plot_results, plot_histograms, plot_loss, data_preparation, read_st_data, coarsen_land_mask\n",
     "from climanet.train import train_monthly_model, TrainConfig\n",
     "from climanet.predict import predict_monthly_var, PredictionConfig\n",
     "from climanet.dataset import STDataset, DataLoaderConfig\n",
@@ -32,28 +41,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "0527f887",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# # Make land-sea mask at 0.5 degree resolution from 0.25 degree resolution used in SST\n",
-    "\n",
-    "# # down sample lsm_mask_025 by a factor of 2 by averaging\n",
-    "# lsm_mask_025 = xr.open_dataset(\"../eso4clima/sst/era5_lsm_bool.nc\")\n",
-    "# lsm_mask_05 = lsm_mask_025.coarsen(lat=2, lon=2, boundary='trim').mean()\n",
-    "\n",
-    "# # make >=0.5 to 1, and <0.5 to 0\n",
-    "# lsm_mask_05 = lsm_mask_05.where(lsm_mask_05 >= 0.5, 0)\n",
-    "# lsm_mask_05 = lsm_mask_05.where(lsm_mask_05 < 0.5, 1)\n",
-    "# lsm_mask_05['lsm'] = lsm_mask_05['lsm'].astype(bool)\n",
-    "\n",
-    "# lsm_mask_05.to_netcdf(\"./era5_lsm_bool_05.nc\")\n",
-    "# lsm_mask_05.isel(time=0)['lsm'].plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
    "id": "abf5a034-02ee-497f-85d0-33b4e99f43a6",
    "metadata": {},
    "outputs": [],
@@ -73,9 +60,10 @@
     "monthly_data_validation = xr.open_mfdataset(data_folder / f\"202101_mon_ERA5_full_{var_name}.nc\")\n",
     "monthly_data_test = xr.open_mfdataset(data_folder / f\"202201_mon_ERA5_full_{var_name}.nc\")\n",
     "\n",
-    "file_name = data_folder / \"era5_lsm_bool_05.nc\"  # downloded from era5 and regridded using the function `regrid_to_boundary_centered_grid`\n",
-    "lsm_mask = xr.open_dataset(file_name)\n",
-    "# lsm_mask = lsm_mask.rename({'latitude': 'lat', 'longitude': 'lon'})"
+    "# Make land-sea mask for watervapor from sst mask\n",
+    "file_name = data_folder / \"era5_lsm_bool.nc\"  # downloded from era5 and regridded using the function `regrid_to_boundary_centered_grid`\n",
+    "lsm_mask_sst = xr.open_dataset(file_name)\n",
+    "lsm_mask = coarsen_land_mask(lsm_mask_sst)"
    ]
   },
   {
@@ -461,8 +449,8 @@
       "Early stopping triggered at epoch 47. Best loss: 0.079654\n",
       "Training complete. Best loss: 0.079654\n",
       "Model saved to /home/oku/Developments/ESO4Clima/ClimaNet/notebooks/watervapor/runs_daily/best_model.pth\n",
-      "CPU times: user 24.6 s, sys: 1.28 s, total: 25.9 s\n",
-      "Wall time: 10.3 s\n"
+      "CPU times: user 29.5 s, sys: 2.16 s, total: 31.6 s\n",
+      "Wall time: 16.5 s\n"
      ]
     }
    ],
@@ -495,7 +483,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -686,7 +674,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x500 with 3 Axes>"
       ]
@@ -710,7 +698,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 3 Axes>"
       ]
@@ -732,13 +720,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 29,
    "id": "a7420dc7-fe1b-4f34-a62e-5914091f04b7",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x400 with 1 Axes>"
       ]
@@ -754,7 +742,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "ClimaNet (3.13.9.final.0)",
+   "display_name": "ClimaNet (3.14.0.final.0)",
    "language": "python",
    "name": "python3"
   },
@@ -768,7 +756,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.9"
+   "version": "3.14.0"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/watervapor/training_hourly_watervapor.ipynb b/notebooks/watervapor/training_hourly_watervapor.ipynb
index cc26d71..47416f7 100755
--- a/notebooks/watervapor/training_hourly_watervapor.ipynb
+++ b/notebooks/watervapor/training_hourly_watervapor.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "7e6644bb-2d85-47ec-af53-f0960f9314e6",
    "metadata": {},
    "outputs": [],
@@ -12,7 +12,7 @@
     "import torch\n",
     "import torch.nn.functional\n",
     "from climanet.st_encoder_decoder import SpatioTemporalModel\n",
-    "from climanet.utils import set_seed, configure_compute_resources, plot_results, plot_histograms, plot_loss, data_preparation, read_st_data, add_month_day_dims\n",
+    "from climanet.utils import set_seed, configure_compute_resources, plot_results, plot_histograms, plot_loss, data_preparation, read_st_data, add_month_day_dims, coarsen_land_mask\n",
     "from climanet.train import train_monthly_model, TrainConfig\n",
     "from climanet.predict import predict_monthly_var, PredictionConfig\n",
     "from climanet.dataset import STDataset, DataLoaderConfig\n",
@@ -32,28 +32,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5bdd29f8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# # Make land-sea mask at 0.5 degree resolution from 0.25 degree resolution used in SST\n",
-    "\n",
-    "# # down sample lsm_mask_025 by a factor of 2 by averaging\n",
-    "# lsm_mask_025 = xr.open_dataset(\"../eso4clima/sst/era5_lsm_bool.nc\")\n",
-    "# lsm_mask_05 = lsm_mask_025.coarsen(lat=2, lon=2, boundary='trim').mean()\n",
-    "\n",
-    "# # make >=0.5 to 1, and <0.5 to 0\n",
-    "# lsm_mask_05 = lsm_mask_05.where(lsm_mask_05 >= 0.5, 0)\n",
-    "# lsm_mask_05 = lsm_mask_05.where(lsm_mask_05 < 0.5, 1)\n",
-    "# lsm_mask_05['lsm'] = lsm_mask_05['lsm'].astype(bool)\n",
-    "\n",
-    "# lsm_mask_05.to_netcdf(\"./era5_lsm_bool_05.nc\")\n",
-    "# lsm_mask_05.isel(time=0)['lsm'].plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
    "id": "f383c4c8-0199-4092-be12-07be525fdec1",
    "metadata": {
     "scrolled": true
@@ -74,9 +52,11 @@
     "monthly_data_validation = xr.open_mfdataset(data_folder / f\"202104_mon_ERA5_full_{var_name}.nc\")\n",
     "monthly_data_test = xr.open_mfdataset(data_folder / f\"202204_mon_ERA5_full_{var_name}.nc\")\n",
     "\n",
-    "# water vapor uses a dedicated coarser-resolution land-sea mask\n",
-    "file_name = \"./era5_lsm_bool_05.nc\"\n",
-    "lsm_mask = xr.open_dataset(file_name)"
+    "# Make land-sea mask for watervapor from sst mask\n",
+    "file_name = data_folder / \"era5_lsm_bool.nc\"  # downloded from era5 and regridded using the function `regrid_to_boundary_centered_grid`\n",
+    "lsm_mask_sst = xr.open_dataset(file_name)\n",
+    "lsm_mask = coarsen_land_mask(lsm_mask_sst)\n",
+    "lsm_mask"
    ]
   },
   {
@@ -725,9 +705,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "CLIMANET Kernel",
+   "display_name": "ClimaNet (3.14.0.final.0)",
    "language": "python",
-   "name": "my-kernel"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -739,7 +719,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.14.3"
+   "version": "3.14.0"
   }
  },
  "nbformat": 4,
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 5b28806..6c68a12 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -2,7 +2,7 @@
 import xarray as xr
 from tbparse import SummaryReader
 
-from climanet.utils import data_preparation, setup_logging
+from climanet.utils import coarsen_land_mask, data_preparation, setup_logging
 
 
 def test_setup_logging(tmp_path):
@@ -22,7 +22,6 @@ def test_setup_logging(tmp_path):
     assert reader.scalars["value"].iloc[0] == 42  # check scalar
 
 
-
 def _make_datasets():
     # 4x4 dataset with, 6 days in one month
     lat = 4
@@ -67,12 +66,14 @@ def _make_datasets():
 def test_data_preparation():
     daily_da, monthly_da = _make_datasets()
 
-    input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = data_preparation(
-        daily_da, monthly_da, calculate_residuals=False, save_to_zarr=False
+    input_da, input_da_nan_mask, monthly_da, padded_days_mask, time_features = (
+        data_preparation(
+            daily_da, monthly_da, calculate_residuals=False, save_to_zarr=False
+        )
     )
     assert input_da.shape == (1, 31, 4, 4)  # (M, T=31, H=4, W=4)
     assert isinstance(input_da, xr.DataArray)
-    assert input_da_nan_mask[0, 1, 1, 1] == True  # check that the NaN mask is correctly set
+    assert input_da_nan_mask[0, 1, 1, 1]  # check that the NaN mask is correctly set
     assert isinstance(input_da_nan_mask, xr.DataArray)
     assert monthly_da.shape == (1, 4, 4)  # (M, H=4, W=4)
     assert isinstance(monthly_da, xr.DataArray)
@@ -86,7 +87,11 @@ def test_data_preparation_to_zarr(tmp_path):
     daily_da, monthly_da = _make_datasets()
 
     _ = data_preparation(
-        daily_da, monthly_da, run_dir=tmp_path, calculate_residuals=False, save_to_zarr=True
+        daily_da,
+        monthly_da,
+        run_dir=tmp_path,
+        calculate_residuals=False,
+        save_to_zarr=True,
     )
     assert (tmp_path / "input_da.zarr").exists()
     assert (tmp_path / "input_da_nan_mask.zarr").exists()
@@ -99,7 +104,11 @@ def test_data_preparation_from_zarr(tmp_path):
     daily_da, monthly_da = _make_datasets()
 
     _ = data_preparation(
-        daily_da, monthly_da, run_dir=tmp_path, calculate_residuals=False, save_to_zarr=True
+        daily_da,
+        monthly_da,
+        run_dir=tmp_path,
+        calculate_residuals=False,
+        save_to_zarr=True,
     )
 
     # Now load from zarr
@@ -111,11 +120,44 @@ def test_data_preparation_from_zarr(tmp_path):
 
     assert input_da["tos"].shape == (1, 31, 4, 4)  # (M, T=31, H=4, W=4)
     assert isinstance(input_da, xr.Dataset)
-    assert input_da_nan_mask["tos"][0, 1, 1, 1] == True  # check that the NaN mask is correctly set
+    assert input_da_nan_mask["tos"][
+        0, 1, 1, 1
+    ]  # check that the NaN mask is correctly set
     assert isinstance(input_da_nan_mask, xr.Dataset)
     assert monthly_da["tos"].shape == (1, 4, 4)  # (M, H=4, W=4)
     assert isinstance(monthly_da, xr.Dataset)
     assert padded_days_mask["tos"].shape == (1, 31)  # (M, T=31)
     assert isinstance(padded_days_mask, xr.Dataset)
-    assert time_features["tos"].shape == (1, 31, 3)  # (M, T=31, 2) for month and day features
+    assert time_features["tos"].shape == (
+        1,
+        31,
+        3,
+    )  # (M, T=31, 2) for month and day features
     assert isinstance(time_features, xr.Dataset)
+
+
+def test_coarsen_land_mask():
+    """Downsample a mock lsm with a factor of 2."""
+    mask_values = np.zeros((1, 8, 4))  # Mock values for the land-sea mask
+    mask_values[0, 0:2, 0:2] = 0.7  # Set 4 values to be above 0.5
+    mask_values[0, 2:4, 2:4] = 0.2  # Set another 4 values to be below 0.5
+    lsm_mask_025_mock = xr.DataArray(
+        mask_values,
+        dims=["time", "lat", "lon"],
+        coords={
+            "time": [0],
+            "lat": np.linspace(-2.0, 2.0, 8),
+            "lon": np.linspace(-1.0, 1.0, 4),
+        },
+        name="lsm",
+    )
+    lsm_mask_05 = coarsen_land_mask(lsm_mask_025_mock)
+
+    assert np.all(
+        lsm_mask_05.values[0, 0:1, 0:1]  # after downsampling 0:2 -> 0:1
+    )  # all values above 0.5 should be True
+    assert not np.any(
+        lsm_mask_05.values[0, 1:2, 1:2]  # after downsampling 2:4 -> 1:2
+    )  # all values below 0.5 should be False
+    assert lsm_mask_05.shape == (1, 4, 2)  # By default downsample with a factor of 2
+    assert lsm_mask_05.dtype == bool  # Mask should be of boolean type

From e0eefad89a4e62965873ced15b4070f39f7e37dc Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Mon, 14 Sep 2026 10:51:37 +0200
Subject: [PATCH 31/38] Apply suggestion from @SarahAlidoost

Co-authored-by: SarahAlidoost <55081872+SarahAlidoost@users.noreply.github.com>
---
 scripts/tuning.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/scripts/tuning.py b/scripts/tuning.py
index 537c1d0..3790486 100644
--- a/scripts/tuning.py
+++ b/scripts/tuning.py
@@ -85,8 +85,7 @@
         "dataloader_persistent_workers": True,
         "dataloader_multiprocessing_context": None,  # load_lazy is False
         "num_epoch": 100,
-        "max_concurrent_trials": args.num_nodes
-        * 2,  # less than GPUs per node (4) avoid OOM
+        "max_concurrent_trials": args.num_nodes * 2,  # less than GPUs per node (4) avoid OOM
         "experiment_name": "sst_01",
     }
 

From 8018effc153f7495fa775161eba4c54fccc183b1 Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Mon, 14 Sep 2026 10:52:36 +0200
Subject: [PATCH 32/38] solve conficts

---
 notebooks/sst/training_hourly_sst.ipynb | 8 --------
 1 file changed, 8 deletions(-)

diff --git a/notebooks/sst/training_hourly_sst.ipynb b/notebooks/sst/training_hourly_sst.ipynb
index e13ad6a..001b1d3 100644
--- a/notebooks/sst/training_hourly_sst.ipynb
+++ b/notebooks/sst/training_hourly_sst.ipynb
@@ -50,11 +50,7 @@
     "\n",
     "monthly_data = xr.open_mfdataset(data_folder / f\"202001_mon_ERA5dc_full_{var_name}.nc\")\n",
     "monthly_data_validation = xr.open_mfdataset(data_folder / f\"202101_mon_ERA5dc_full_{var_name}.nc\")\n",
-<<<<<<< HEAD:notebooks/sst/training_hourly_sst.ipynb
-    "monthly_data_test = xr.open_mfdataset(data_folder / f\"202001_mon_ERA5dc_full_{var_name}.nc\")\n",
-=======
     "monthly_data_test = xr.open_mfdataset(data_folder / f\"202201_mon_ERA5dc_full_{var_name}.nc\")\n",
->>>>>>> main:notebooks/example_hourly.ipynb
     "\n",
     "file_name = data_folder / \"era5_lsm_bool.nc\"  # downloded from era5 and regridded using the function `regrid_to_boundary_centered_grid`\n",
     "lsm_mask = xr.open_dataset(file_name)"
@@ -480,11 +476,7 @@
     }
    ],
    "source": [
-<<<<<<< HEAD:notebooks/sst/training_hourly_sst.ipynb
-    "spatial_patch_size = monthly_da.shape[1:]  # the whole dataset \n",
-=======
     "spatial_crop_size = monthly_da.shape[1:]  # the whole dataset \n",
->>>>>>> main:notebooks/example_hourly.ipynb
     "\n",
     "dataset_test = STDataset(\n",
     "    input_da=input_da,\n",

From 6b7dda22732905b41e714241e1aef8c6eb7a3c2e Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Tue, 15 Sep 2026 09:53:27 +0200
Subject: [PATCH 33/38] change spatial_patch_size to spatial_crop_size

---
 notebooks/watervapor/training_daily_watervapor.ipynb | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/notebooks/watervapor/training_daily_watervapor.ipynb b/notebooks/watervapor/training_daily_watervapor.ipynb
index 83becd9..78ae6c0 100644
--- a/notebooks/watervapor/training_daily_watervapor.ipynb
+++ b/notebooks/watervapor/training_daily_watervapor.ipynb
@@ -532,7 +532,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "id": "ac99fdf5-dfd8-44a0-957b-dea177ac92a1",
    "metadata": {},
    "outputs": [
@@ -548,7 +548,7 @@
     }
    ],
    "source": [
-    "spatial_patch_size = monthly_da.shape[1:]  # the whole dataset \n",
+    "spatial_crop_size = monthly_da.shape[1:]  # the whole dataset \n",
     "\n",
     "dataset_test = STDataset(\n",
     "    input_da=input_da,\n",
@@ -742,7 +742,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "ClimaNet (3.14.0.final.0)",
+   "display_name": "ClimaNet (3.14.0)",
    "language": "python",
    "name": "python3"
   },

From 11507326eb1b8be9e305e79cebc346e4618248a5 Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Tue, 15 Sep 2026 09:53:45 +0200
Subject: [PATCH 34/38] remove duplicated cell

---
 .../training_hourly_watervapor.ipynb          | 20 +------------------
 1 file changed, 1 insertion(+), 19 deletions(-)

diff --git a/notebooks/watervapor/training_hourly_watervapor.ipynb b/notebooks/watervapor/training_hourly_watervapor.ipynb
index 47416f7..7a555df 100755
--- a/notebooks/watervapor/training_hourly_watervapor.ipynb
+++ b/notebooks/watervapor/training_hourly_watervapor.ipynb
@@ -563,24 +563,6 @@
     ")"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "2f3dc920",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# create prediction config\n",
-    "prediction_config = PredictionConfig(\n",
-    "    calculate_residuals=True,\n",
-    "    return_numpy=True,\n",
-    "    save_predictions=True,\n",
-    "    return_loss=False,\n",
-    "    device=device,\n",
-    "    verbose=True,\n",
-    ")"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 23,
@@ -705,7 +687,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "ClimaNet (3.14.0.final.0)",
+   "display_name": "ClimaNet (3.14.0)",
    "language": "python",
    "name": "python3"
   },

From 59636548fef301d1c5a541a67f64ee4b126a3a3d Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Tue, 15 Sep 2026 09:54:32 +0200
Subject: [PATCH 35/38] remove unuser import

---
 notebooks/watervapor/training_hourly_watervapor.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebooks/watervapor/training_hourly_watervapor.ipynb b/notebooks/watervapor/training_hourly_watervapor.ipynb
index 7a555df..706860f 100755
--- a/notebooks/watervapor/training_hourly_watervapor.ipynb
+++ b/notebooks/watervapor/training_hourly_watervapor.ipynb
@@ -12,7 +12,7 @@
     "import torch\n",
     "import torch.nn.functional\n",
     "from climanet.st_encoder_decoder import SpatioTemporalModel\n",
-    "from climanet.utils import set_seed, configure_compute_resources, plot_results, plot_histograms, plot_loss, data_preparation, read_st_data, add_month_day_dims, coarsen_land_mask\n",
+    "from climanet.utils import set_seed, configure_compute_resources, plot_results, plot_histograms, plot_loss, data_preparation, read_st_data, coarsen_land_mask\n",
     "from climanet.train import train_monthly_model, TrainConfig\n",
     "from climanet.predict import predict_monthly_var, PredictionConfig\n",
     "from climanet.dataset import STDataset, DataLoaderConfig\n",

From a06120bfadafa6315ccd865770da96ebe1d0ff04 Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Tue, 15 Sep 2026 09:59:49 +0200
Subject: [PATCH 36/38] use jan for hourly notebook

---
 .../watervapor/training_hourly_watervapor.ipynb  | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/notebooks/watervapor/training_hourly_watervapor.ipynb b/notebooks/watervapor/training_hourly_watervapor.ipynb
index 706860f..b518ea3 100755
--- a/notebooks/watervapor/training_hourly_watervapor.ipynb
+++ b/notebooks/watervapor/training_hourly_watervapor.ipynb
@@ -44,13 +44,13 @@
     "var_name = \"prw\"\n",
     "\n",
     "# 1 month train, 1 month validation and test\n",
-    "hourly_data = xr.open_mfdataset(data_folder / f\"202004_hr_ERA5_masked_{var_name}.nc\")\n",
-    "hourly_data_validation = xr.open_mfdataset(data_folder / f\"202104_hr_ERA5_masked_{var_name}.nc\")\n",
-    "hourly_data_test = xr.open_mfdataset(data_folder / f\"202204_hr_ERA5_masked_{var_name}.nc\")\n",
+    "hourly_data = xr.open_mfdataset(data_folder / f\"202001_hr_ERA5_masked_{var_name}.nc\")\n",
+    "hourly_data_validation = xr.open_mfdataset(data_folder / f\"202101_hr_ERA5_masked_{var_name}.nc\")\n",
+    "hourly_data_test = xr.open_mfdataset(data_folder / f\"202201_hr_ERA5_masked_{var_name}.nc\")\n",
     "\n",
-    "monthly_data = xr.open_mfdataset(data_folder / f\"202004_mon_ERA5_full_{var_name}.nc\")\n",
-    "monthly_data_validation = xr.open_mfdataset(data_folder / f\"202104_mon_ERA5_full_{var_name}.nc\")\n",
-    "monthly_data_test = xr.open_mfdataset(data_folder / f\"202204_mon_ERA5_full_{var_name}.nc\")\n",
+    "monthly_data = xr.open_mfdataset(data_folder / f\"202001_mon_ERA5_full_{var_name}.nc\")\n",
+    "monthly_data_validation = xr.open_mfdataset(data_folder / f\"202101_mon_ERA5_full_{var_name}.nc\")\n",
+    "monthly_data_test = xr.open_mfdataset(data_folder / f\"202201_mon_ERA5_full_{var_name}.nc\")\n",
     "\n",
     "# Make land-sea mask for watervapor from sst mask\n",
     "file_name = data_folder / \"era5_lsm_bool.nc\"  # downloded from era5 and regridded using the function `regrid_to_boundary_centered_grid`\n",
@@ -591,13 +591,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": null,
    "id": "e823452b",
    "metadata": {},
    "outputs": [],
    "source": [
     "# add to monthly average\n",
-    "predictions_res = xr.open_dataset(f\"{run_dir}/202204_{var_name}_prediction_residual.nc\")"
+    "predictions_res = xr.open_dataset(f\"{run_dir}/202201_{var_name}_prediction_residual.nc\")"
    ]
   },
   {

From 34dc161dc7df16629dd074255f1466363a52b0e1 Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Tue, 15 Sep 2026 11:28:44 +0200
Subject: [PATCH 37/38] update parameters in hourly notebook

---
 .../watervapor/training_hourly_watervapor.ipynb      | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/notebooks/watervapor/training_hourly_watervapor.ipynb b/notebooks/watervapor/training_hourly_watervapor.ipynb
index b518ea3..a32b74c 100755
--- a/notebooks/watervapor/training_hourly_watervapor.ipynb
+++ b/notebooks/watervapor/training_hourly_watervapor.ipynb
@@ -54,8 +54,8 @@
     "\n",
     "# Make land-sea mask for watervapor from sst mask\n",
     "file_name = data_folder / \"era5_lsm_bool.nc\"  # downloded from era5 and regridded using the function `regrid_to_boundary_centered_grid`\n",
-    "lsm_mask_sst = xr.open_dataset(file_name)\n",
-    "lsm_mask = coarsen_land_mask(lsm_mask_sst)\n",
+    "lsm_mask_025 = xr.open_dataset(file_name) # land-sea mask at 0.25 degree resolution\n",
+    "lsm_mask = coarsen_land_mask(lsm_mask_025) # Lower resolution to 0.5 degree to match the watervapor data\n",
     "lsm_mask"
    ]
   },
@@ -342,7 +342,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "74c0cfd5-4ebf-4df6-b788-19563a76155b",
    "metadata": {},
    "outputs": [
@@ -362,12 +362,12 @@
     "training_config = TrainConfig(\n",
     "    calculate_residuals=True,\n",
     "    num_epoch=100,\n",
-    "    patience=20, # changed from 10\n",
+    "    patience=10,\n",
     "    accumulation_steps=2,\n",
-    "    optimizer_lr=5e-4, # changed from 1e-3\n",
+    "    optimizer_lr=1e-3,\n",
     "    device=device,\n",
     "    verbose=True,\n",
-    "    verbose_epoch_interval=5,\n",
+    "    verbose_epoch_interval=20,\n",
     "    tune_checkpoint=False,\n",
     "    store_model=True,\n",
     ")\n",

From 9feec317fdaa2fe50ae13463ddd5d9109826b513 Mon Sep 17 00:00:00 2001
From: Ou Ku <o.ku@esciencecenter.nl>
Date: Tue, 15 Sep 2026 12:40:16 +0200
Subject: [PATCH 38/38] rerun hourly notenook

---
 .../training_hourly_watervapor.ipynb          | 635 ++++++++++++++++--
 1 file changed, 593 insertions(+), 42 deletions(-)

diff --git a/notebooks/watervapor/training_hourly_watervapor.ipynb b/notebooks/watervapor/training_hourly_watervapor.ipynb
index a32b74c..1804b8e 100755
--- a/notebooks/watervapor/training_hourly_watervapor.ipynb
+++ b/notebooks/watervapor/training_hourly_watervapor.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "7e6644bb-2d85-47ec-af53-f0960f9314e6",
    "metadata": {},
    "outputs": [],
@@ -36,7 +36,577 @@
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
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+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
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+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
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+       "    --jp-content-font-color3,\n",
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+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 268kB\n",
+       "Dimensions:  (time: 1, lat: 360, lon: 720)\n",
+       "Coordinates:\n",
+       "  * time     (time) datetime64[ns] 8B 2013-11-29\n",
+       "  * lat      (lat) float64 3kB -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n",
+       "  * lon      (lon) float64 6kB -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
+       "Data variables:\n",
+       "    lsm      (time, lat, lon) bool 259kB ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5d249ecb-e3bf-4f1e-beb5-0ef401a69057' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-5d249ecb-e3bf-4f1e-beb5-0ef401a69057' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>lat</span>: 360</li><li><span class='xr-has-index'>lon</span>: 720</li></ul></div></li><li class='xr-section-item'><input id='section-cf4accbf-d881-43eb-8a40-d1989102f66b' class='xr-section-summary-in' type='checkbox' checked /><label for='section-cf4accbf-d881-43eb-8a40-d1989102f66b' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-11-29</div><input id='attrs-1827edfb-c2a0-4334-9df9-872da9ef9a5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1827edfb-c2a0-4334-9df9-872da9ef9a5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8ee3a9b-8cc5-4431-b99d-1286bee853bf' class='xr-var-data-in' type='checkbox'><label for='data-b8ee3a9b-8cc5-4431-b99d-1286bee853bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-11-29T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.75 -89.25 ... 89.25 89.75</div><input id='attrs-7f87fc0c-8fcd-4608-9820-ec43e266cf3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f87fc0c-8fcd-4608-9820-ec43e266cf3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f31af5b8-f974-4d74-ba8b-3bc983855ead' class='xr-var-data-in' type='checkbox'><label for='data-f31af5b8-f974-4d74-ba8b-3bc983855ead' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.75, -89.25, -88.75, ...,  88.75,  89.25,  89.75], shape=(360,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.8 -179.2 ... 179.2 179.8</div><input id='attrs-ea86dfd8-2ed4-4d01-90e5-51237994ba24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea86dfd8-2ed4-4d01-90e5-51237994ba24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc7fe467-246a-4a05-bc24-e1444f90da33' class='xr-var-data-in' type='checkbox'><label for='data-bc7fe467-246a-4a05-bc24-e1444f90da33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-179.75, -179.25, -178.75, ...,  178.75,  179.25,  179.75], shape=(720,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b9d99dbf-bf22-4ee8-b9b0-2078f9a7f738' class='xr-section-summary-in' type='checkbox' checked /><label for='section-b9d99dbf-bf22-4ee8-b9b0-2078f9a7f738' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lsm</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f0c4ae54-f834-437d-8730-282ff9bfcaf8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0c4ae54-f834-437d-8730-282ff9bfcaf8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebfd7d6d-a71c-4328-aa49-84e30088da79' class='xr-var-data-in' type='checkbox'><label for='data-ebfd7d6d-a71c-4328-aa49-84e30088da79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>(0 - 1)</dd><dt><span>long_name :</span></dt><dd>Land-sea mask</dd><dt><span>standard_name :</span></dt><dd>land_binary_mask</dd></dl></div><div class='xr-var-data'><pre>[259200 values with dtype=bool]</pre></div></li></ul></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 268kB\n",
+       "Dimensions:  (time: 1, lat: 360, lon: 720)\n",
+       "Coordinates:\n",
+       "  * time     (time) datetime64[ns] 8B 2013-11-29\n",
+       "  * lat      (lat) float64 3kB -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n",
+       "  * lon      (lon) float64 6kB -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
+       "Data variables:\n",
+       "    lsm      (time, lat, lon) bool 259kB ..."
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# without diurnal cycle\n",
     "data_folder = Path(\"../eso4clima/watervapor\")\n",
@@ -94,7 +664,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "(720, 80, 200) (1, 80, 200)\n"
+      "(744, 80, 200) (1, 80, 200)\n"
      ]
     }
    ],
@@ -342,14 +912,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "id": "74c0cfd5-4ebf-4df6-b788-19563a76155b",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "TrainConfig(calculate_residuals=True, num_epoch=100, patience=20, accumulation_steps=2, optimizer_lr=0.0005, optimizer_weight_decay=0.01, scheduler_lr_factor=0.1, scheduler_min_lr=1e-05, device='cuda', verbose=True, verbose_epoch_interval=5, tune_checkpoint=False, store_model=True, store_logs=True)"
+       "TrainConfig(calculate_residuals=True, num_epoch=100, patience=10, accumulation_steps=2, optimizer_lr=0.001, optimizer_weight_decay=0.01, scheduler_lr_factor=0.1, scheduler_min_lr=1e-05, device='cuda', verbose=True, verbose_epoch_interval=20, tune_checkpoint=False, store_model=True, store_logs=True)"
       ]
      },
      "execution_count": 14,
@@ -392,23 +962,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Epoch 0: gap between train and val loss: -0.038700\n",
-      "Epoch 0: best_loss = 0.175661\n",
-      "Epoch 5: gap between train and val loss: 0.029814\n",
-      "Epoch 5: best_loss = 0.165111\n",
-      "Epoch 10: gap between train and val loss: 0.062820\n",
-      "Epoch 10: best_loss = 0.165111\n",
-      "Epoch 15: gap between train and val loss: 0.079435\n",
-      "Epoch 15: best_loss = 0.165111\n",
-      "Epoch 20: gap between train and val loss: 0.081210\n",
-      "Epoch 20: best_loss = 0.165111\n",
-      "Epoch 25: gap between train and val loss: 0.084932\n",
-      "Epoch 25: best_loss = 0.165111\n",
-      "Early stopping triggered at epoch 25. Best loss: 0.165111\n",
-      "Training complete. Best loss: 0.165111\n",
+      "Epoch 0: gap between train and val loss: -0.056109\n",
+      "Epoch 0: best_loss = 0.169462\n",
+      "Early stopping triggered at epoch 13. Best loss: 0.163902\n",
+      "Training complete. Best loss: 0.163902\n",
       "Model saved to /home/b/b383704/ClimaNet/notebooks/watervapor/runs_hourly/best_model.pth\n",
-      "CPU times: user 18.1 s, sys: 5.56 s, total: 23.7 s\n",
-      "Wall time: 6min 27s\n"
+      "CPU times: user 12.2 s, sys: 3.28 s, total: 15.5 s\n",
+      "Wall time: 3min 31s\n"
      ]
     }
    ],
@@ -435,13 +995,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 16,
    "id": "51784fe8",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -565,19 +1125,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "id": "4b8f947e",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Processed batch 1/1, with loss: 0.2218\n",
-      "Average loss over all batches: 0.2218\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# inference on test data, verbose is True\n",
     "predictions = predict_monthly_var(\n",
@@ -591,7 +1142,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "id": "e823452b",
    "metadata": {},
    "outputs": [],
@@ -602,7 +1153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 24,
    "id": "d521af83-7120-4ce4-9f08-0c5d1567d9aa",
    "metadata": {},
    "outputs": [],
@@ -615,13 +1166,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 25,
    "id": "9bf2dc57-80c4-4c93-bd0a-f1c77f140573",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 3 Axes>"
       ]
@@ -639,13 +1190,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 26,
    "id": "0683310d-4424-4397-992e-74caaff69d11",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 3 Axes>"
       ]
@@ -665,13 +1216,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 27,
    "id": "a7420dc7-fe1b-4f34-a62e-5914091f04b7",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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Dclymqz59+sDKygpCCNy/fx8bN27EV199BV9fX/mSsGwHDhzAvn37EBMTg+fPnwPIuiTs0qVL6N27t7z93bt3o1GjRvLlfiVLlkTJkiUBZE3aEBYWhqVLl2pcmqJUKjFkyBB89NFHuH//vsbleLooXbq0xpS3SqUSb731Fnbu3CmXFWTb1tbW6N+/PzZs2IAnT57Iv6iuX79eY9u6vAY50Te2nPo++6ybn5+fxrXn+r4vwsPD5ct+YmJicOrUKbRp0wZr167VqDd48GD5fW5hYYE7d+7g6NGjCAoK0vjFWaFQ4P3338fAgQNx69YtpKWl4dq1a/jmm280LiH08vJCs2bNcOjQoTzju379Ok6ePInZs2drTfTh5OSk175mu3z5Mq5cuYL58+ejVKlScnnFihXx7rvvYt26dUhKSoKdnZ28Ty9/LrRr107rM0EfFhYWGDhwoPy8bNmyeOONN/DPP//gvffek8vt7Ozg7e2tcaaqqOLXtZ2ePXuiZs2aOrXp6uqa67JVq1bhp59+Qq9eveDv7y+XZ38eWVpqfx2zsrICgDwnd8mtXX3q5jSr1s8//6x3bDNmzMC///6LHTt2aF1y+qLctpfdpq4GDBiA8ePHy8/fe+899O3bF61bt8b48ePx008/6dUemS4mK/Raa9q0qcY1ydkOHz6s0/qrVq3C0KFDUblyZTRq1Ai+vr7w9/fXaRBrcnIyHj16BHd3d61ltWrVApB1yUdSUhIeP36c4+D+GjVq5Np+Tsu2bduGd999F506dUKnTp3g6OgICwsLREZGao3VAAA3NzeN59lfkHIqz8jIwKNHj+RL3F729OlTxMTEoGTJkggICIAQAkDWdd/Zl1Pdu3dPp/2rWrVqjv8B6uPlAfZDhw6Fu7s7BgwYoDG16wcffICffvoJw4YNQ/v27WFrawuFQoGdO3ciKSkJANC4cWOMHTsWixcvxrfffouWLVvirbfewrvvvit/eb5x4waArMtCzpw5AyGE/BpER0fL+69vsuLm5qb1H7uTkxPi4+MhSRKUSmWBt/3BBx/g22+/xZYtWzBy5EikpKQgODgYffv2lWfN0eU1yIm+seXV93kdD7ooX748AgICoFAoULJkSXh4eGi913PaTvY+7Nu3D1evXtV4b2dfonjv3j15auSc4qxZs2a+ycqtW7cAQGPAc0FlX/6Z2+eQJEmIiIhAvXr1AGS9/i//IOHk5ISUlBSNpEAfrq6uWm06ODjAxcVFq68dHBzk16Eo49e1ndq1a2v9+KGv4OBgjB49Gq1bt8aPP/6osczGxgYANC5Pzpb9fsttZqu82tWnbvasWi/KzMzUK7YTJ07gyy+/xMKFC/NN7nLbnr7JSk4JfosWLdCqVSvs2LEDQog8kyZ6fTBZIbPm7++Pt99+G4cOHcKxY8fwxx9/YPHixZgxYwbmzJmT57rZv6ympqZqLcv+IFepVHnWy+k/gWw5/Qc1bdo0tGjRAiEhIRrluU2J++KvvwDkD+7cyrOTjpxkf+moUaNGjgliQECAPElAXvuQV3lBlC5dGs2aNcOOHTvw6NEjODg44Pr161i/fj0WL16MSZMmyXUfPnyIzMxMjfWXLVuGadOmITQ0FMeOHcOSJUswa9Ys7NmzB23atJH/I23ZsiXefPNNre1PmDBB519gX/RyXwCa/aFUKgu8bW9vb7z55ptYv349Ro4ciW3btiEpKQkffPCBRr38XoOc6BtbXn1f0PfFy7OB6bqd7H1o2rSpPAHFi8aMGQMvLy/5jEBOx21ex3K27LNV2Z8PxqDr59DL9V+ky/GvSwwvt5lb+YvbKar4dW0ne7IQXXz11VdaE6v89ttvGDhwIJo1a4Y//vhD4+wRADg6OqJs2bJa43gAyGU5JXL5tatP3S5dumj9IFGiRAm9Ysv+oeL48eM4deqUXC8mJgYKhQK9e/eGn58fhg8fnuv2jKVChQpITU1FWlpanmeF6fXBZIXMXqlSpdC5c2d07twZ8+fPR6dOnbBs2TI5Wcn+kv7yf4QqlQoeHh44c+aMVpunT58GkPUl0draGrVr19YaiAhkDSzVR3R0NN5++22NsocPHyI8PFzvX/T1ZW1tjQYNGuDhw4c6fSEsCsnJyQCg9ct+9q+y2XK770bFihUxaNAgDBo0CAsXLoSrqytWr16NNm3aoHHjxlAoFLCysnrl+2+MbQ8dOhSjRo3CP//8g/Xr16NOnTo5fjHP6zUorNiKWsOGDWFpaSl/qcpN/fr1oVAocO7cOa16utyoMXs7R48exeDBg3OtZ2lpqfMX7+yYTp8+jcDAQI1lp0+fhp2dnUlP2V5Y8evzGuYle7IQXXz++ecaycqePXsQEBCAxo0bY+/evfKZipe1a9cOf/31F9RqtUZidvDgQTg4OGj9CKBru7rWrVmzZq4/dugaW04JCACcPHkSFhYWCAgIkM9I5rW9gpIkCRcvXkSlSpWYqBQjnA2MzFZiYiJWr16tcc1tZmYmUlNTNa4nz/7PJ6dfl8aPH4/w8HCsXLlSLrtx4waWLl2KVq1awcfHB0DWL7MnT57UmJP+woULOk8fmc3b2xuhoaHyL47Pnz/HuHHjCj1RyRYUFIQLFy4gKChI48xERkYGNm/erHUZ2Kt05swZHD58GK1bt5any/X09ISVlRV27dol17t37x7Wrl2rccnBiRMn5OmNs6WmpiIzM1Nuy8XFBcOGDcOSJUu0Lvd59OiRPINcYTDGtgcMGICSJUvik08+wdGjRzF06FCN5bq8BoUVW1FzdHTE2LFjsWLFCuzZs0dj2ZMnT+RpgitWrIjevXtj9erVGvdtWblyJdRqdb7bcXBwwKhRo/DDDz9ojEkSQuDHH3+UZzFycXFBbGysTm1WqFABAQEB2LBhg8YPJzt37sTevXsxduxYgy65zB7/o+sXdUMVVvz6vIZ56dmzJ7Zu3arT34tjVg4ePAh/f380atQI+/bty/Os4eTJk5GUlIR58+bJZceOHUNISAgmTZqksf/6tKtP3YLGVrNmzRxnSLO1tYWdnR169+4tz6xpLCtXrtQ4S5mZmYkZM2bgxo0bmDBhglG3RUWLZ1bIbKlUKly8eBGff/453Nzc4ODggEuXLkGlUmmc9u/UqRM8PT3Ro0cPNG3aFFZWVvJ9VoYPH46YmBh8/PHHWLNmDRwcHHD69Gk0bdoUW7ZskdsYOXIkbt26hcDAQCxduhSlSpWCSqXCpEmTMHDgwDwHtb9oxYoV6NatG9zd3VG/fn3cuHEDEydOhFqtxsWLF439Emnp1q0bfv75Z0ycOBFr166Fp6enPJlB+/btdb5XizH0798fSqVSHmB/9uxZvPPOO1i1apVcp0KFCli2bBkmTJiA48ePw9HREVFRUdi8eTNatmwp17O3t0dQUBCGDBmCOnXqQKFQ4NSpU/D19cXnn38u11uxYgXs7OzwzjvvoGbNmnB1dUVMTAwePXqU6702jKWg2y5Tpgz8/f3x008/wcrKCoMGDdJYrutrUBixmYJFixahZMmS6NOnD6pVq4Zq1aohNjYWcXFxGond6tWr4e/vDx8fHzRp0gSJiYlo2bIlevToga+//jrf7SxZsgRKpRL9+vWDu7s7XFxccPXqVbRp00aeeGD48OFYv349GjRoAA8PDyiVyjxvjrd69Wo8f/4crVq1QuPGjeXPg5EjR2LWrFkGvR7379/H9u3b0bhxY4PW10dhxK/va5gbQ8asSJKEbt26IS0tDTY2NloD+StXroxly5bJz5s0aYLvv/8eo0aNwh9//IFy5crh77//xogRIzBlyhSD2tU3htzoGpuxxMTEYOzYsQAgT5Iza9YsODk5wcLCQp6iHsh6j3p4eKBixYooV64cLl++jMTERHzxxRcal/3S608hsq+XIHqNREVF4dSpU2jWrBkqV66stfzixYv4999/0bVrV/nU9Z07dxAWFobOnTtrnB5++vQpwsPDkZCQgCpVqqBevXpag/IyMjJw5swZPHjwAJmZmfD19dUY3JeQkIBz584hLS0NtWrVyvU/t4iICISHh6N8+fLw8fHBmjVrMGLECFy7dk0e73Hjxg2Eh4eje/fuOQ44TElJQVhYGJ4+fYo333wTzs7OOHXqFJ48eYJOnTrl2cbNmzdx6dIldOvWTeMa4X///RcXL17UeL3ykpGRgX/++QfR0dFwcnKCh4eHxixKee1D9uQHht7s7+zZsxpnuRQKBRwdHVGzZs0c3wsAEBsbKyeiTZs2hUqlwm+//Ybq1aujfv36cr379+/jypUrUCgUcHd3z3V2n+TkZISFhSE5ORmurq6oU6eOxut5/PhxpKamon379nmW5fZaXLlyBdeuXYO/v7/WezG/beclIiICZ8+eRdmyZTXieJGur0FO8ostt/1NT0/Hrl27UK9ePYMHM+/evRv29vZo1apVrnXu3buHM2fOwM/PL9eB2E+fPkVYWBgSExPh4uICDw+PHI+JixcvIioqCrVr14a7uzvCw8Nx69Yt9OrVS65z+vRpJCQkyMflixISEnD+/HlkZmaiXr16WvekSEpKwpkzZ5CYmAghhHzZWV5tRkRE4PLly7CwsIC3tzfKly+vsTz7xrUv931Ox+v8+fMxe/Zs/Pvvv7keV3m1efz4caSkpKBDhw4a5SdPnkRycjL8/PwKNX4g99dQ33b0JYTI84yUnZ1djvv/9OlTnD59Wr5R6Muvuz7tGhpDbvKLLTd//vknFAqF1vsgN8nJydi/f3+Oy5RKpcbxBWSd/b1y5QpiYmLg6OgIb29vXv5VDDFZISpCH3zwAX755RckJCQUeHYsIiJjad++Pby9vbF48eKiDoWIzBzHrBC9Ir/88gte/G3g4MGD+PHHHzF06FAmKkRkUsaPH49PP/20qMMgIuKZFaJXZfjw4di3bx/q1q2LBw8e4NKlS+jTpw82bNiQ57ST5mD79u34+eef86wzbty4PC/xoeLnk08+wc2bN/Oss2nTJrM/foiIijMmK0Sv0IMHD3DlyhWkpaWhXr16WnPym6vr169rzK6Uk8aNG+s1foJef4cOHcrxZqcvKuj4AiIiMm1MVoiIiIiIyCRxzAoREREREZkkJitERERERGSSOAVRLiRJQkxMDGxtbbXuc0BERERERPoTQiA5ORmVKlWCUpn/eRMmK7mIiYnh4GciIiIiokIQGRmJKlWq5FuPyUoubG1tAWS9kLnd6ZiKliRJiI+Ph5OTk06ZOb2+2Nfmg31tPtjX5oN9bT506eukpCS4uLjI37Xzw2QlF9mXftnZ2TFZMVGSJCEtLQ12dnb88Cvm2Nfmg31tPtjX5oN9bT706Wtdh1nwHUNERERERCaJyQoREREREZkkJitERERERGSSOGaFiIiIiABkTSubkZGBzMxMo7UpSRLS09ORlpbGMSvFnCRJyMzMhBDCaG0yWSEiIiIiPH/+HPfv30dKSopR2xVCQJIkJCcn8951xZwQApmZmUhPT0elSpVQokSJArfJZIWIiIjIzEmShLt378LCwkL+kmmsxCL7bI2lpSWTlWIuezawx48f4+7du3B3dy/w2TSTSFbCw8Nx48YN+Pr6wsnJKc+6O3fuREZGhla5m5sbGjZsCAC4cOECbt++rbG8TJky6NChg/GCJiIiIiomnj9/DkmS4OLiglKlShm1bSYr5kMIASsrK6hUKty7dw/Pnz+HtbV1gdos0mTl0KFDmDlzJu7fv487d+7g0KFDaNOmTZ7rbN++HampqfLzlJQU7N27F59//rmcrKxevRq///47mjZtKtdzdXVlskJERESUB44pIWMw5vuoSJOVhIQEzJ8/H25ubnBxcdFpnR9//FHj+YYNG7B//3689957GuVNmzbFtm3bjBUqERERERG9YkWaPvfq1QutWrUqUBvr169Hhw4dULVqVY3yxMRE7NmzB8ePH0dSUlKBtkFEREREZEqWL1+OIUOG5Pq8uDCJMSuGun79Ok6cOJHjGZTz58/j66+/RnR0NGJiYvDNN99g4MCBubalVquhVqvl59kJjiRJkCTJ+MFTgUmSJM8wQsUb+9p8sK/NB/vatGT3R/bfi7p1M0b7Fsi6MijvKW137y74tgrT999/j6VLl8rPbW1tUadOHUyYMAH16tV7pbHExsbi7t27cn+9/LyoZG8/+/h++RjX95h/rZOV9evXw9nZGd1eOor69u2LL7/8Uh4gtmTJEgwdOhTe3t7w8vLKsa358+cjKChIqzw+Ph5paWnGD54KTJIkJCYmQgjBa2yLOfa1+WBfmw/2tWlJT0+HJEnIyMjQmshIkiwK3H7WF9f862VkGO/+LoUhLi4O0dHROHjwIICsH7dXrlyJ1q1b49KlS6hYseIriyU7wczur5EjR2Lw4ME5TkT1qrw4dbEkSXj06BGsrKw06iQnJ+vV5mubrKSnp2PTpk147733tF6Et956S+P5xx9/jAULFmDv3r25JivTp0/HxIkT5edJSUlwcXGBk5MT7OzsjL8DVGCSJEGhUMDJyYn/0RVz7OvirUeP/z1WKCS4uCgQGekEIQzv6507CxwWFTIe16YlLS0NycnJsLS0hKWl5tdDY3SPJAFKZf4zgb28bV3ExcVhwYIFOHHiBGxsbNChQwdMnDhR/n548OBBTJ8+HUuWLMGiRYsQGRmJbdu2Yfv27bh37x68vb2xefNmSJKEI0eO5LktpVIJCwsLNGjQQC7z8PBA+fLlcf78efT4/w+0n3/+GfPmzQOQdfalXr16mDFjhsYY7djYWMydOxdhYWEoU6YM/P398f7778szpl28eBFLlizBjRs3UKlSJQQGBqJPnz4asSgUCvk12759Oy5cuIANGzYAABYuXIh79+6hcePG2LZtG548eYIOHTpg+vTpGt+d89uOoZRKJRwcHLRmA9N3drDXNlkJCQlBfHw8Pvjgg3zrKhQK2NraIi4uLtc6KpUKKpVKq1ypVPJD1IQpFAr2kZlgXxdfL1+xIIQCQigLlKzwbfJ64HFtOrK/+Gb/GdeLB3nebeu76cePH6NZs2Zo3749li5ditTUVMycORP//PMPfv75ZwBZv+SfO3cOo0aNwty5c1G9enW4uroiNjYW69atw9tvv42goCCUL18+333PXv5ivYMHD0KpVKJu3bpyeadOnfDGG28AyBpHvXbtWrRs2RI3btxAyZIlAWRdCWRvb49FixZBrVbj119/RenSpfHuu+/i5MmTeOedd/Dpp59i7NixuHPnDsaNG4eEhASMGDEix1ji4uJw9+5d+Xn2/sXHx2PKlCl4/PgxRowYASsrK3zyyScAoNN29CGE0Igrp+Nb3+Pd5JOV8+fP4/Hjx1rTDq9fvx5t2rSBu7u7RrkkSXj8+DEcHR3lsgsXLiAiIgKNGjV6JTETERERUeH7+uuv4eLigjVr1shl7u7ucHNzw4IFC+QJmIQQ2Lhxo9Z3wTJlyiA4OFhOIHTx5MkT+UqdpKQkPH78GD/99BNq164t1ylXrhzKlSsnP2/evDmqVauGPXv2wN/fHwBw9uxZ7NmzBy1btgQAtGvXDunp6QCAqVOnYuzYsZg0aRIAoEmTJlCr1QgKCtIriShfvjy2bNkin0kJCwvDH3/8IScrxtpOYSrSZCUiIgJnz57F48ePAQBHjhzBw4cPUbduXdStWxcAsGrVKpw6dQqXL1+W14uOjsb+/fu1pjEGgMzMTLRs2RLdunWDp6cn7t27h2XLlqFjx47o3bv3q9kxIiIiIip0R48exdWrV9GgQQOtCQJu3rwpJyuWlpZ48803tdavV6+eXokKkHVZV3BwMADg6dOn2LVrF0aNGgVPT0/5bEpqaipWrlyJ0NBQxMbGIjMzE/Hx8bh7967czttvv42PPvoIo0aNwltvvQUvLy9YWVkhMzMTJ06cQGRkJHbt2iXv09OnTxEREQG1Wp3j1UA58fT01Ljkq1KlSvKVRsbcTmEq0mTl7t27cmf7+/sjPDwc4eHh6Nu3r5ysNGrUSGvMyOXLl9G7d2/06tVLq00rKyucPXsWGzduxOHDh2Fvb4+1a9eiZ8+ehb9DRERERPTKpKSkwM/PD9OnT9da9uJtLVQqVY6XH2VPxqQPCwsLjTHQTZs2xYEDB7Bw4UJs3rwZQNZg9/Pnz+Ozzz5DtWrVYG1tjb59+2pM2rR161YEBwdj7969mDdvHuzt7REcHIxatWohMzMT48aNQ/v27bW2//JY7bzkNAYoO5l7/vy50bZTmIo0WWnTpk2+d6z/8MMPtco6duyIjh075rqOra0txo4dW9DwiIiIiMiE1apVC9evX891AqVXxd7eHg8fPpSfh4SEYM2aNfIP62q1GjExMRrrWFpaIjAwEIGBgcjIyEDPnj0xc+ZM7N69G1WqVEFUVFSh7lfJkiVfyXYKiiPaiIiIiOi1NGbMGFy8eBFz586V79/x8OFDeQzGqxAWFobjx4/D19dXLnNycsLx48cBZI2nnjJlChITE+XlT58+xaeffoqEhAQAWWc70tPTYWNjAwCYMGECvv32W+zfv19e5+rVq1i4cKFRY39V2ykIkx9gT0RERESUk8aNG2P79u0YP348Fi5ciLJly+L58+eYMmVKoW3zxQH2z549Q2xsLIYMGaKxzeXLlyMgIADBwcFISUmBj48P6tSpIy8vWbIkSpcuDXd3d9ja2uLJkyeoW7cu1q5dCyAriUhLS0O/fv2gUqkghECFChWwaNEio+7Lq9pOQShEUd/m0kQlJSWhTJkySExM5H1WTJQkSYiLi4OzszOnvSzm2NfFW9eu/3ucdZ+VOERGOhdo6uKQECMERoWKx7VpSUtLw927d+Hm5qb3fTDyk33jQktLy0KYFvl/IiMjoVAoUKVKFY3y5ORkREVFwcPDQ6M8NjYWz58/h6urq87bePToEe7fvy8/L1WqFFxcXHIc35Geno579+6hTJkycHR0xJ07d2BrawsnJye5jhACERERsLOz05g9LFtGRgYiIiJgb2+vtTwuLg7Pnj2Dm5tbjs9z2r+EhAQ8fPhQazbdvLajj+y+zsjIwH///Zfj+0nf79g8s0JEREREr70Xb7j4IltbW61EBQAqVKig9zYcHBzg4OCgU10rKyvUqFFDfl69enWtOgqFAtWqVcu1DUtLS402XuTs7Jzn85z2z97eHvb29nptp6gxWSEiIiIiAtCwYUOo1eocl33zzTd46623XnFExGSFiIiIiAjAjz/+KA/Uf9mLUyHTq8NkhYiIiIgIkO/zR6aDI9qIiIiIiMgkMVkhIiIiIiKTxGSFiIiIiIhMEpMVIiIiIiIySUxWiIiIiIjIJDFZISIiIiIyMRkZGZg0aRLu3bsHAEhJScGkSZMQExNjcJvGaONVY7JCRERERKSDI0eOYNKkSZg0aRKmTp2Kr7/+GuHh4YWyrYyMDCxdulROLFJSUrB06VLExcXptH5ycjImTZqE2NhYuUzfNkwB77NCRERERLk73LXATVgICVDo8Bt5m5ACb6swnT17FqtWrUJQUBAkScL58+cxefJkfPnllxgzZkyhbrt06dJYvHgxKleurFP9Z8+eYenSpXjvvfdQoUIFg9owBUxWiIiIiOi19ueff+L48eOwsbFBu3bt8Oabb8rLrly5gi1btmDy5Mn46aefEBkZiQkTJuDMmTN4+PAhWrZsiR07diAtLQ2ff/55vtsqWbIkJk2aJD93dnbGtGnTMGrUKCxbtkze9qFDh1C9enUMGjQIAHDu3Dns378fANCkSRO0b99eo11JkrB161ZcvnwZNWrUQJcuXTSWCyEQGxuL9PR0jfKwsDDs378fQgh07twZ9evXhyRJmD17NgBg6dKlcHBwgJubG4YMGZJjG/v378fx48ehUqnQuXNnNGjQQF6WkJCAuXPnYvLkyThy5AiuXbuGKlWqIDAwECqVKt/Xq6B4GRgRERERvZYkSYK/vz/Gjh2LzMxMxMbGokOHDli+fLlc59atW1i8eDGaNm2Kq1evwsnJCVZWVjh48CBmzpyJLl26IDExEc7OzgbF0LBhQ6SkpCAuLg4//PADhg4diilTpkCpVMLe3h4A8Pnnn6NLly54/Pgx0tLSMGzYMAwbNkyjnYEDB2LcuHFIT0/HoUOH0KxZM43lOV3C9dlnn6F58+a4c+cOnj17hqFDh2L37t1QKBRwcnICADg4OKBChQpwcHDIsY1hw4ZhwIABSE1NRUREBBo3boz169fLyxMTE7F06VL4+voiJCQEQggsXrwY77zzjkGvl754ZoWIiIiIXksbNmzApUuX8M8//6BUqVIAgO7du6Njx44IDAyUk4X09HQEBQWhX79+Gus/evQIJ0+ehKurq8ExHD16FGXKlEH58uUBZJ15OX78OCwts75mnz17FosXL8bVq1dRtWpVAMDIkSNRs2ZNvP/++2jWrBlOnDiB4OBgXLp0CZ6engCAGTNmYO7cublu9+TJk5gzZw5CQ0PlszRBQUGIjIyEQqHARx99hNmzZ+O9996Dl5cXAODhw4dabaxfvx5nz55Fw4YNAQBeXl6YNGkSevXqJb9+ADBo0CB88sknAICAgAB4eHjg6tWrqFu3rsGvnS6YrBARERHRa2nnzp0oXbo0Zs+eDSEEhBDIzMxEWloaLl++jFatWgEAFAoFevToobX+m2++qXeikj2jliRJuHLlCo4cOYK1a9dCoVAAALp27SonKgCwa9cu2NnZYdWqVXKMAFCqVCmcO3cOzZo1Q2hoKLy9veVEBchKDvJKVnbv3g0PDw+Ny8ksLS3h5uam876EhobCy8tLTlQA4P3338e4ceNw7tw5dOjQQS7v3Lmz/LhOnTqwsrLCvXv3mKwQEREREeXkwYMHKFu2LBwdHTXKXx5EXqpUqRzHV5QrV07vbSoUClSoUAFKpRKNGjXCunXr4OLikmubDx48gI2NjVaMU6dOhY+PDwAgNjZWvmwrW/aZmtw8fPgQlSpV0jv+F92/f19rOzY2NrCxscH9+/c1ykuXLq3xXKlUIiMjo0Db1wWTFSIiIiJ6LWXPcvXigPfC9vIA+/xUqFABarU6z3UqV66MEydOaJRFRUXl2+7hw4dzXZ59picvVapUwZEjRzTKnjx5gqdPn6JKlSr5rv8qcIA9EREREb2W+vXrh71792p90T9w4EARRaStd+/eiI6Oxpo1azTKw8PD8eDBAwBZl1iFh4fj5MmT8vJVq1bl2a6/vz9u376Nbdu2yWUpKSm4fPkyAKBs2bIAsgbI56Zz5864ceOGRtKzcuVKODs7o3HjxjrtX2HjmRUiIiIiei0FBgbizJkzeOutt9C5c2c4ODjgwoULKFeunNbUwEWlfv36WLlyJcaMGYNt27ahRo0auHHjBp48eYI9e/YAALy9vTFq1Ch07NgRvXr1QmxsrNZg+Jc1aNAAX375JQYMGIBNmzbB2dkZJ06cwPLly+Hl5QWVSgVfX1+MHj0abdu2RY0aNbQmGGjQoAGmTZuGLl26oFevXkhMTMT+/fuxefNm2NjYFNprog8mK0RERESUu4LeqFEIZGZkZA061+HSJH198803GDlyJI4ePSrPguXt7S0v9/Lywrx587TW6969O548eaLXttq0aSPPOpaTiRMn5jjg/MMPP0S3bt1w4MABPHv2DAEBAWjVqhWUyv9d5LR8+XL4+/vjypUrqFGjBnx9fbFy5Up5BrGcbug4fvx4dO/eHX/99RcsLS3x+eefa1y+tXfvXvz++++Ijo6Gg4NDjm3MnTsXffr0wYkTJ6BSqbBixQqtMTiLFy/WGnOzYMGCQh9cDwAKkT0lAWlISkpCmTJlkJiYCDs7u6IOh3IgSRLi4uLg7OyscbBT8cO+Lt66vnBzbIVCgotLHCIjnSGE4X0dYto3wSbwuDY1aWlpuHv3Ltzc3GBtbW3UtoUQyPj/ZEWXcRT0+sru64yMDPz33385vp/0/Y7NMytERKSXF5MLIqLiZPr06Vp3d882ZMgQjamF6dVgskJEREREhKzpgnObjjenqY+p8DFZISIiIiJC1hgQMi28SJSIiIiIiEwSkxUiIiIiIjJJvAyMiIiKlZmtuwKHjdhgQadtJXqNSJJU1CFQMWDM9xGTFSIiIiIzV6JECSiVSsTExMDJyQklSpQw2jTDnLrYfEiShLS0NDx69AhKpRIlSpQocJtMVoiIqNg5c9Z4bc1Zyvu2UPGnVCrh5uaG+/fvIyYmxqhtCyEgSRKUSiWTlWJOCIHMzEzY2tqiUqVKRrmHUpEnK+Hh4Vi9ejWuX7+OpUuXon79+nnWX7ZsGUJe+l/Dzc0Na9eu1Sg7d+4cVq1ahQcPHqBevXqYNGkSHBwcjB4/EREV3MzWWTdvEVBAXdoFqmqRUID3LCZ6lUqUKAFXV1dkZGQgMzPTaO1KkoRHjx7BwcGBNwAt5iRJQkJCAipUqAALCwujtFmkycrs2bOxdetW9OrVC3/99RcSEhLyXefatWt4/vw5PvvsM7nMxsZGo86JEyfQtm1bfPTRR/Dz88O3336LFi1a4Pz58yhdurTR94OIiIioOFAoFLCysoKVlZXR2pQkCVZWVrC2tmayUsxJkgQLCwujnkEr0mTlww8/xGeffYaoqCjMnj1b5/WcnZ3Rvn37XJd/8skn6Ny5M77++msAwDvvvINKlSph3bp1GDduXEHDJiIiIiKiV6BI01tnZ2eD1gsLC0O3bt0wcOBArFmzRuNUZWpqKo4ePYoePXrIZba2tmjXrh3+/PPPgoZMRERERESvSJGPWdGXSqVC165d4evri+joaMyZMwe//vor/vzzTyiVSkRGRkKSJFSpUkVjvSpVquDQoUO5tqtWq6FWq+XnSUlJALJOZ3EaP9MkSZI8aI+KN/a1aSmM8bECCvnf7D9ToVBI4FvP+Hhcmw/2tfnQpa/1fR+8dsnKvHnzNMadtG/fHl5eXtixYwd69+6N58+fAwBKliypsV6pUqXkZTmZP38+goKCtMrj4+ORlpZmpOjJmCRJQmJiIoQQvAa2mGNfmxYXF+O3qS6d1agAkG7tCJhQuuLiEoe4uKKOovjhcW0+2NfmQ5e+Tk5O1qvN1y5ZeXmAvIeHB6pVq4awsDD07t0b9vb2AIDHjx9r1Hv06JG8LCfTp0/HxIkT5edJSUlwcXGBk5MT7OzsjLgHZCySJEGhUMDJyYkffsUc+9q0REYav01VtaxGs1IUBVTPokxmNrDISGcYeNUy5YHHtflgX5sPXfra2tparzZfu2TlZZIk4fHjx/KOV65cGU5OTggLC0Pnzp3lemFhYfDx8cm1HZVKBZVKpVWuVCp5YJkwhULBPjIT7GvTIQohh3gxMVG8cDGYKRBCCb7tCgePa/PBvjYf+fW1vu8Bk3/HfPnllxg2bBgAID09HStXrpQH1Ash8PnnnyM5ORk9e/aU1xk8eDDWr1+PuP8/b79nzx5cvHgRgwcPfvU7QEREREREBinSMyt//vknFi1aJA9s//jjj2Fvb49BgwZh0KBBAICrV6/i1KlTAAALCwv8+++/qFy5Mtzc3BAVFQUhBH755RfUq1dPbjcoKAhXrlyBu7s7atSogWvXrmHRokVo0aLFq99JIiIiIiIySJEmK/Xq1cO0adO0yqtXry4//vjjj5GYmAgg67TRV199hdmzZ+Pq1auwt7eHm5ub1o2LSpUqhT179uDmzZt48OABPDw84OjoWLg7Q0RERERERlWkyUrFihVRsWLFPOt4eHholdna2qJJkyb5tl+rVi3UqlXL4PiIiIiIiKjovPYD7ImI6NWb2bprUYdARERmwOQH2BMRERERkXliskJERERERCaJyQoREREREZkkJitERERERGSSmKwQEREREZFJYrJCREREREQmickKERERERGZJCYrRERERERkkpisEBERERGRSWKyQkREREREJonJChERERERmSQmK0REREREZJKYrBARERERkUliskJERERERCaJyQoREREREZkkJitERERERGSSmKwQEREREZFJYrJCREREREQmickKERERERGZJCYrRERERERkkpisEBERERGRSWKyQkREREREJsmyqAMgIiIyZTNbdwUOG7HBNiFGbIyIqHjjmRUiIiIiIjJJTFaIiIiIiMgkMVkhIiIiIiKTxGSFiIiIiIhMEpMVIiIiIiIySZwNjIioGOvatagjICIiMhzPrBARERERkUkyKFnZsWMH0tPTjR0LERERERGRzKDLwAIDA2FjY4PAwEC8//778PLyKlAQycnJiI6OhqurK0qVKqXTOvHx8bC0tIS9vb3WsgcPHiAhIUGjTKVSwc3NrUBxEhERERHRq2PQmZXY2FjMmTMHx48fR7169dCkSROsXr0aSUlJerVz/fp1fPjhh3Bzc4OHhwfOnDmT7zqrV6+Gu7s7PD094ebmBk9PT/z9998adWbNmoXGjRujR48e8t+4ceP0io2IiIiIiIqWQcmKnZ0dRowYgdOnT+Py5cto2bIlPvvsM1SoUAEDBw7E4cOHdWrnr7/+Qv369XH06FGd6mdmZuLChQvYt28f4uLi8PDhQ3To0AHdunXDw4cPNer6+fnh+vXr8t/u3bv13U0iIiIiIipCBR5g7+npiXHjxmH48OHIzMzEb7/9hvbt28Pb2xsXL17Mc91Ro0bho48+gq2trU7bsrCwwHfffYcaNWoAACwtLTF16lQkJibi3LlzGnWFELh37x4SExMN2i8iIiIiIipaBicrarUawcHB8PPzg5ubG0JDQ7Fy5UrExsbi3r17aNKkCQICAowZa46uXr0KAKhSpYpG+Y4dO9C0aVOUL18eb7zxBo4fP17osRARERERkfEYNMB+9OjR2LJlCxQKBQIDA/Hll19qDLK3sbHB8uXLoVKpjBZoTpKTkzFmzBi8/fbbGttv0aIFPv74Y7i7uyMtLQ1jx45F586dcfnyZa2kJptarYZarZafZ4+/kSQJkiQV6n6QYSRJghCC/WMG2NeGUygKp12BwmlYQCH/mRJJGLMxvo8BHtfmhH1tPnTpa33fBwYlK1evXsWKFSvg7++fa0JiZWWFgwcPGtK8TlJTU9G9e3colUr8+OOPGssGDhwoP7a2tsaKFSvw888/Y8eOHRg7dmyO7c2fPx9BQUFa5fHx8UhLSzNu8GQUkiQhMTERQggolbxlUHHGvjaci0vhtKsuXTgNCwDp1o4ovHTIMHEZxmwszoiNvb54XJsP9rX50KWvk5OT9WrToGQlKSkJ/fv3z3FZo0aN5PEjbdq0MaT5fKWlpaFbt2548OABDh06BAcHhzzrlyhRAhUqVMC9e/dyrTN9+nRMnDhRfp6UlAQXFxc4OTnBzs7OaLGT8UiSBIVCAScnJ374FXPsa8NFRhZOu6pqhdNwVoqigOpZFBQw5umMgnE26H/L3BpzNmJjry8e1+aDfW0+dOlra2trvdo06OP3/PnzOZZnZmbmO6heX7GxsUhNTZXvkZKdqERHR+PQoUNwfulDXwiBzMxMWFr+b9ciIyPx33//oVatWrluR6VS5XiWSKlU8sAyYQqFgn1kJtjXhhGF9H2/MBMJxQsXg5kKpTFP8/A9LONxbT7Y1+Yjv77W9z2gV7Ly4oxbL8++JUkSTp48CVdXV53bS0xMxP379/HgwQMAwL1793D9+nU4OjrC0dERADBjxgycOnUKly9fRmZmJnr27Il//vkHv/76KxISEuSbP1asWBFlypRBeno6mjZtivHjx8PT0xP37t3DZ599hho1amDAgAH67C4RERERERUhvZIVHx+fHB9nc3R0xPLly3Vu7+DBg5g+fToAoHbt2pg3bx6ArAH8o0ePBpCVhFSvXh1A1jVud+/ehb29PUaMGKHR1hdffIHevXujRIkS+Pnnn7F06VIsX74c9vb26Nu3LyZOnIjSpUvrs7tERERERFSE9EpWss9iODo6at2E0crKSu9koGfPnujZs2eedebMmSM/Llu2LK5fv55vu7Vr18aaNWv0ioWIiIiIiEyLXslK2bJlAQAZGcacFoWIiIiIiEibzsnKqVOnAABNmzaVH+emadOmBYuKiIiIiIjMns7JSrNmzQBkzbaV/Tg3orCmnyEiIoPMbN21qEMgIiLSm87Jyos3cNH3Zi5ERERERET60jlZsbGxyfExkDVt8aVLl1C5cmU4OTkZLzoiIiIiIjJbBt2Z59ixYxg+fLj8vGfPnvD29oarqyv++usvowVHRERERETmy6BkZerUqRg6dCgAICwsDMeOHcP169exYMECzJw506gBEhERERGReTIoWbl48SLq168PADhw4AB69eqF2rVrY9iwYQgPDzdqgEREREREZJ4MSlbs7e1x48YNAMCuXbvw1ltvAQAePnwIe3t740VHRERERERmS6+bQmYbMGAAOnXqBHd3d/z777/o3LkzAOCPP/5At27djBogERERERGZJ4OSlfnz56Nu3bqIiIjA2rVrYWdnBwCIi4vDjBkzjBogERERERGZJ4OSFaVSicGDB2uVz5o1q8ABERERERERAQYmKwDw6NEj/PPPP3j8+LHWst69excoKCIiIiIiIoOSlZ07dyIwMBBpaWlaN4gEmKwQEREREVHBGTQb2JQpU/DJJ58gLS0NT5480fojIiIiIiIqKIOSlZiYGIwbNw6WlgZfRUZERERERJQng7INLy8v3Lx5E97e3saOh4iIyOScOWu8tuYszfo3JMR4bRIRFVcGJSuDBg3CgAEDMHfuXNSsWRMKhUJjuZeXl1GCIyIiIiIi82VQsjJq1CgAQK9evXJcLoQwPCIiIiIiIiIYmKzcv3/f2HEQERERERFpMChZqVChgrHjICIiIiIi0mDQbGAA8PjxY/zwww8ad60/d+4cMjMzjRIYERERERGZN4OSlUuXLsHDwwNz587F7Nmz5fLVq1fjxx9/NFpwRERERERkvgxKViZOnIgxY8bg5s2bGuWjRo3CV199ZZTAiIiIiIjIvBk0ZuXs2bPYsWMHAGhMW+zu7o7r168bJzIiIiIiIjJrBp1ZUSqVePbsmVb5zZs3YW9vX+CgiIiIiIiIDEpW3nnnHcyePRuSJMlnViIjI/HRRx+hS5cuRg2QiIiIiIjMk0HJytKlS3HkyBFUqVIFkiTB29sbNWvWxNOnT7FgwQJjx0hERERERGbI4PusXLhwATt27MC5c+cgSRImTpyIvn37QqVSGTtGIiIiIiIyQwYlKwCgUqnw7rvv4t133zVmPERERERERAAMTFb+++8/hISE4O7du1AoFHBzc0PXrl1RtWpVY8dHRERERERmSu9kZenSpZg2bRokSULFihUBAPfv38fEiROxaNEijB8/3tgxEhERERGRGdJrgP3ff/+N6dOnY968eXjy5AmioqIQFRWFhIQEzJkzB5MnT8bx48cLK1YiIiIiIjIjep1ZWbVqFSZPnozJkydrlNvZ2WHq1KlISEjAt99+ixYtWujcZnJyMjZv3ozr169j9OjRqFmzZr7rPHjwAFu2bMGDBw9Qr1499OvXD5aWlnrXISIiIiIi06XXmZVTp05h4MCBuS4fPHgwTp06pXN769atQ+3atXHo0CEsW7YMUVFR+a5z69Yt1KtXD/v27YOVlRVmzZqFTp06ITMzU686RERERERk2vQ61XD//n1Ur1491+XVq1fH/fv3dW7Px8cHN27cQGJiIn799Ved1pk6dSrq1KmDvXv3QqlUYtiwYahZsya2bNkiJ1K61CEiIiIiItOm15kVtVqNEiVK5LpcpVIhNTVV5/bq168PW1tbneunp6djz5496N+/P5TKrNBdXV3Rpk0b7Ny5U+c6RERERERk+vQexLFu3brCiEMn9+7dg1qtRo0aNTTKa9SoIQ/s16VOTtRqNdRqtfw8KSkJACBJEiRJMtYukBFJkgQhBPvHDLCvDadQZP0roCjaQHQkoJD/iiuFIut9bO5vZx7X5oN9bT506Wt93wd6JSsWFhb48MMP861TWFJSUgBA62yMnZ2dvEyXOjmZP38+goKCtMrj4+ORlpZWoLipcEiShMTERAgh5LNoVDyxrw3n4pL1r7q0S9EGoiMBIN3aEa9PeqU/F5c4AEBcXBEHUsR4XJsP9rX50KWvk5OT9WpTr2QlIyNDr8aNLTsBefLkiUZ5QkKCvEyXOjmZPn06Jk6cKD9PSkqCi4sLnJycYGdnZ4ToydgkSYJCoYCTkxM//Io59rXhIiOz/lVViyzaQHSUlaIooHoWBQVEUYdTKCIjnQEAzs5FHEgR43FtPtjX5kOXvra2ttarzddqLl9XV1fY2Njg+vXr6NSpk1x+/fp11K1bV+c6OVGpVFCpVFrlSqWSB5YJUygU7CMzwb42jPj/7/uv0xd/xQsXgxVHQmS9h/lW5nFtTtjX5iO/vtb3PWDy75hffvkFCxcuBJC1c/7+/vj+++/lS7MuXbqE48ePo2/fvjrXISIiIiIi01ekZ1bOnDmDLVu24OnTpwCAFStWYOfOnejUqZN8ViQ0NBSnTp3C1KlTAQALFiyAr68vfHx84O3tjT179iAwMBDdu3eX29WlDhGRKeratagjICIiMh1FmqzY2NigWrVqAICvvvpKLi9btqz8OCAgAG3atJGfV6hQARcvXsTevXvx4MEDDB8+HC1bttRoV5c6RERERERk2gxKVnbs2IGuXbvCysqqQBuvW7dunuNIAKB9+/ZaZSVLlkSvXr3yXE+XOkREREREZLoMGrMSGBiIypUrY+LEibh8+bKxYyIiIiIiIjIsWYmNjcWcOXNw/Phx1KtXD02aNMHq1avlGykSEREREREVlEGXgdnZ2WHEiBEYMWIErly5gg0bNuCzzz7DhAkT4O/vj6FDh2qMMyEiIv3NbM3R9kREZN4KPHWxp6cnxo0bh+HDhyMzMxO//fYb2rdvD29vb1y8eNEIIRIRERERkTkyOFlRq9UIDg6Gn58f3NzcEBoaipUrVyI2Nhb37t1DkyZNEBAQYMxYiYiIiIjIjBh0Gdjo0aOxZcsWKBQKBAYG4ssvv4SXl5e83MbGBsuXL8/xjvBERERERES6MChZuXr1KlasWAF/f/9cExIrKyscPHiwQMEREREREZH5MugysKSkJPTv3z/HRKVRo0byYw6yJyIiIiIiQxmUrJw/fz7H8szMTA6qJyIiIiIio9DrMrBz587l+BgAJEnCyZMn4erqapzIiIiIiIjIrOmVrPj4+OT4OJujoyOWL19e8KiIiIiIiMjs6ZWsJCQkAMhKSh4+fKixzMrKCqVLlzZeZERERMWQfLPPw0ZorE2IERohIjJdeiUrZcuWBQBkZGQURixEREREREQynZOVU6dOAQCaNm0qP85N06ZNCxYVERERERGZPZ2TlWbNmgEAhBDy49wIIQoWFRERERERmT2dk5Xk5OQcHxMRERERERUGnZMVGxubHB8TEREREREVBr3HrOiCY1aIiIiIiKig9B6zoguOWSEiIiIiooIyaMwKERERERFRYTNozAoREREREVFh431WiIiIiIjIJPE+K0REREREZJJ4nxUiIiIiIjJJvM8KERERERGZJJ2TlZdFRETg22+/xbVr1wAAdevWxciRI+Hq6mq04IiIiIiIyHwpDVlpz549qFWrFvbv34/y5cujfPny2LdvH2rVqoV9+/YZO0YiIiIiIjJDBp1ZmTBhAmbOnIkZM2ZolH/xxReYMGECOnXqZJTgiIiIiIjIfBl0ZiUqKgqjR4/WKh89ejTu3btX4KCIiIiIiIgMSlY8PDxw+fJlrfLw8HDUrVu3wEERERERERHpfBnYi8nJoEGD0KdPH0yfPh0+Pj4QQuDcuXOYP38+Pvnkk0IJlIiIqDg5c7bgbcxZ+r/HISEFb4+IyNTonKzUq1dPq2zcuHFaZWPHjsWYMWMKFhUREREREZk9nZOV+/fvF2YcREREREREGnQes1KhQgWd//SxfPly1KhRAzY2NmjWrBlOnjyZZ/2yZcvC0tJS6+/FszyjRo3SWt6gQQO94iIiIiIioqJl0AB7Y9m4cSOmTp2KpUuX4vbt22jevDn8/PwQGRmZ6zqPHj1CWlqa/Ld//35kZmaiV69ecp3MzEx0795do9758+dfxS4REREREZGRGJSsqNVqzJkzB2+88QbKli0LGxsbjT9dLV68GO+//z569OiB8uXLY8mSJbCzs8OqVatyXcfCwkLjjMn3338Pd3d3+Pr6atRTKBQa9SwsLAzZVSIiIiIiKiIGJSuzZs1CcHAwJk6ciMTERKxbtw7Dhw9HZmZmjoPuc5KQkIBr166hbdu2cplCoUDbtm1x4sQJndpITEzE9u3bMWzYMK1l+/fvh52dHVxcXNC/f3/e/4WIiIiI6DVj0B3sg4ODsXPnTjRo0ABDhgxBv379EBAQAB8fnzzPirwoe8C+s7OzRrmTkxPOnTunUxtbtmxBRkYGBg8erFHu5uaGTZs2wdfXF9HR0ZgwYQJatWqF8PBw2NnZ5diWWq2GWq2WnyclJQEAJEmCJEk6xUOvliRJEEKwf8yAOfW1QvG/xwKK3CsWUwIK+Y/yp1D875h43Q4PczquzR372nzo0tf6vg8MSlYiIyPlqYxLly6NxMRElC1bFl27dsX7779vSJMypVIJIYROddetW4fu3btrJTxTp06VH5crVw5bt25FxYoVERwcjOHDh+fY1vz58xEUFKRVHh8fj7S0ND32gF4VSZKQmJgIIQSUyiIdfkWFzJz62sXlf4/VpV1yr1hMCQDp1o4wz1RNfy4ucfLjuLg8KpogczquzR372nzo0tfJycl6tWlQsiJJkjwGpEaNGjh48CB69eqFCxcuwNbWVqc2smcNi4+P1yiPi4tD+fLl813/n3/+QVhYGObPn59vXXt7e7i6uuLWrVu51pk+fTomTpwoP09KSoKLiwucnJxyPRtDRUuSJCgUCjg5OfHDr5gzp75+cX4RVbXcJxsprrJSFAVUz6KggG4/XJmzyMj//Vj30u92Js+cjmtzx742H7r0tbW1tV5tGpSslC5dWn48btw4BAYG4o033kB4eLjOY1bKlSuHWrVq4ciRI/JMXkIIHD58GAMGDMh3/XXr1qFatWpo3759vnWTkpIQGRmJihUr5lpHpVJBpVJplSuVSh5YJkyhULCPzIS59PWLJ5bN9cu64oWLwShvQvzveHgdDw1zOa6JfW1O8utrfd8DBr1jnj59Kj9+//33sXfvXvTo0QObN2/GvHnzdG7n448/xvr167F//34kJiZixowZePz4MT788EO5zogRI7TukaJWq7F582YMHTpUa4fVajX69OmDsLAwqNVq3Lp1CwEBAShdurROSRAREREREZkGg86svMzX11dr6mBdDB8+HE+ePMGQIUMQFxcHLy8v7NmzB9WqVZPrZGZmIiMjQ2O9HTt2ICkpCUOGDNFqU6VSITAwEKNHj8bFixdRtmxZtGrVCqdPn9bp8jIiIiIiIjINBicrERER+Pbbb3Ht2jUAQN26dTFy5Ei4urrq1c6UKVMwZcqUXJevWbNGa8B9v3790Ldv31zvndK9e3d0795drziIiIiIiMi0GHQZ2J49e1CrVi3s378f5cuXR/ny5bFv3z7UqlUL+/btM26ASqVWUpJTGRERERERFS8GnVmZMGECZs6ciRkzZmiUf/HFF5gwYQI6depklOCIiIiIiMh8GXRmJSoqCqNHj9YqHz16NO8UT0RERERERmFQsuLh4YHLly9rlYeHh6Nu3boFDoqIiIiIiEjny8BeTE4GDRqEPn36YPr06fDx8YEQAufOncP8+fPxySefFEqgRERERERkXnROVurVq6dVltMNIMeOHYsxY8YULCoiIiIiIjJ7Oicr9+/fL8w4iIiIiIiINOicrFSoUKEw4yAiIiIiItJQoDvYnzt3DteuXYMQAnXr1kWjRo2MFRcREREREZk5g5KV+Ph4BAQE4ODBg7CxsQEAPH36FG+99RaCg4Ph5ORk1CCJiIiIiMj8GDR18bhx45Camorw8HAkJycjOTkZ4eHhSElJyXHQPRERERERkb4MOrPyxx9/ICwsDDVq1JDLvLy88NNPP6Fhw4ZGC46IiIiIiMyXQWdW0tPT5cu/XlS6dGk8f/68wEEREREREREZdGaldevWmDhxIr777jvY2toCAJKSkjB+/Hi0bt3aqAESEb02DnctcBMz+RFKREQkMyhZWbZsGd5++21UqlQJHh4eAIBr167ByckJe/fuNWqARERERERkngxKVmrXro1r165h69atuHLlChQKBcaOHYs+ffpApVIZO0YiIiIiIjJDBiUrXbt2RUhICAIDA40dDxEREREREQADB9gfOnQIKSkpxo6FiIiIiIhIZlCy0qFDB2zfvt3YsRAREREREckMugysUqVKGDJkCHbt2oW6deuiRIkSGstnzJhhlOCIiIiIiMh8GZSsnD9/Ho0aNUJUVBSioqK0ljNZISIiIiKigjIoWQkJCYEQAs7OzsaOh4iIiIiICICeY1aio6PRrFkzODs7o3z58mjWrBmio6MLKzYiIiIiIjJjeiUrU6dOxdOnT7Fp0yZs2rQJycnJmDZtWmHFRkREREREZkyvy8AOHjyIAwcOoG7dugAAb29vdOzYsVACIyIydV27aj6f2bpo4iAiIiqu9DqzEhsbCw8PD/l53bp1cf/+faMHRUREREREpNeZFSEEFAqF/FypVEIIYfSgiIiIKH8zW79weu+wERpsE2KERoiIjEfv2cBsbGzyLXv69KnhEREREREREUHPZGX58uWFFQcREREREZEGvZKV0aNHF1YcREREREREGvQaYE9ERERERPSqMFkhIiIiIiKTxGSFiIiIiIhMkt6zgRnb8+fP8ddff+HBgweoV68eGjZsmGf9o0eP4sqVKxpl5cqVQ9++fQvULhERERERmZYiTVbi4+Px1ltv4fnz53jjjTcwYcIE9OvXD999912u62zevBmhoaHo0KGDXFa5cuUCt0tERERERKalSJOV6dOnAwAuXLiAUqVK4fz58/Dx8UHXrl3RuXPnXNfz9vbOM/EwtF0iIiIiIjIdRTZmRZIk/PrrrxgyZAhKlSoFAGjYsCGaN2+O4ODgPNeNi4vDpk2bsGvXLsTExBitXSIiIiIiMh1FdmYlMjISycnJqFu3rkZ53bp1ce7cuTzXjYiIwL59+xAdHY0zZ85g4cKFGDt2bIHaVavVUKvV8vOkpCQAWcmPJEl67Ru9GpIkQQjB/jEDptrXCoXmcwFFzhVJZwIK+Y/0IwljNPLqjjFTPa7J+NjX5kOXvtb3fVBkyUp2MlC2bFmNcnt7e3lZToYMGYIVK1bA0jIr9I0bN+KDDz5AixYt0LBhQ4PbnT9/PoKCgrTK4+PjkZaWpssu0SsmSRISExMhhIBSyYntijNT7WsXF83n6tIuOVcknQkA6daOYOqnv7gMYzQSZ4RGdGOqxzUZH/vafOjS18nJyXq1WWTJSsmSJQFoB5yUlCRfvpWTJk2aaDwfMmQIpk2bhj///BMNGzY0uN3p06dj4sSJGvVdXFzg5OQEOzs73XaKXilJkqBQKODk5MQPv2LOVPs6MlLzuapaZM4VSWdZKYoCqmdRUMAYpwrMh7Mx/kd3djZCI7ox1eOajI99bT506Wtra2u92iyyZKVq1aooUaIE7t69q1F+9+5d1KxZU6+2rK2tkZCQUKB2VSoVVCqVVrlSqeSBZcIUCgX7yEyYYl+Ll75L88u1cSheuBiMdKc0xqmoV3x8meJxTYWDfW0+8utrfd8DRZasWFlZoVOnTggODsawYcOgUCgQExODQ4cOYfXq1XK9I0eO4MGDB+jbty8yMzMRGRmJatWqycuPHTuGe/fuoXnz5nq1S0REVJycOVvwNuYs1XweElLwNomICqJIpy5euHAhmjdvju7du6Np06bYtGkTmjRpgsDAQLnOjz/+iFOnTqFv374QQqBr167w8fGBp6cn7t27h/Xr12PAgAHo3r27Xu0SEREREZFpK9JkpU6dOrh06RI2bdqEBw8eYNKkSRg0aJA8eB4A2rRpg6pVqwIALC0tERYWhq1bt+LChQsoX7489u7di1atWundLhERDnct0OozWxspDiIiIspRkX97r1KlCj755JNcl798NsTKygr9+/dH//79C9QuERERERGZNo5yIiIiIiIik8RkhYiIiIiITBKTFSIiIiIiMklMVoiIiIiIyCQxWSEiIiIiIpPEZIWIiIiIiEwSkxUiIiIiIjJJTFaIiIiIiMgkMVkhIiIiIiKTxGSFiIiIiIhMEpMVIiIiIiIySZZFHQAR0avStavm85mtiyYOIiIi0g3PrBARERERkUliskJERERERCaJyQoREREREZkkJitERERERGSSOMCeiIiIAAAzW780C8XhAjbYJqSADRCRueOZFSIiIiIiMklMVoiIiIiIyCQxWSEiIiIiIpPEZIWIiIiIiEwSkxUiIiIiIjJJTFaIiIiIiMgkMVkhIiIiIiKTxGSFiIiIiIhMEpMVIiIiIiIySUxWiIiIiIjIJDFZISIiIiIik2RZ1AEQEensSA9AIQxefWZr44VCREREhY/JChEREeXozNmCrT9nqebzkJCCtUdE5oeXgRERERERkUliskJERERERCaJyQoREREREZmkIh+zcuDAASxfvhwPHjxAvXr18Nlnn8HFxSXX+rGxsVi5ciVOnDgBS0tLtGzZEuPHj4etra1cZ+7cudi6davGejVr1sS2bdsKbT+IiIiIiMi4ijRZCQ0NxTvvvINZs2ahWbNmWLZsGVq0aIHw8HCUKVNGq35mZiaaN2+OoUOH4tNPP0VKSgpmzJiBP/74A0ePHoWVlRUAIDIyEk5OTli8eLG8bsmSJV/ZfhERERERUcEVabLy2WefoV+/fpgxYwYAoEWLFqhYsSJWr16NKVOmaNW3sLDA1atXYW1tLZe5ubnBy8sLZ86cQYsWLeTyMmXKoEGDBoW+D0REREREVDiKbMzK06dPcfr0abzzzjtymbW1Ndq1a4e//vor1/VeTFQAQKVSAQAyMjI0yk+dOoXmzZvj7bffxrx585CammrE6ImIiIiIqLAV2ZmV6OhoCCFQsWJFjfJKlSrhwIEDOrcTFBSEKlWqoEmTJnKZra0tRowYAV9fX0RHRyMoKAg7d+6Ux7nkRK1WQ61Wy8+TkpIAAJIkQZIkfXaNXhFJkiCEYP+YAbmvhaJA7Rh+O0l6VQQU8h+9/hQKzc/nFz+u+RluPtjX5kOXvtb3fVBkyUp6ejqA/50ZyaZSqeRl+Vm8eDG2bt2KP//8U+OMy7x58+TxKwDQtGlTuLu745dffsGAAQNybGv+/PkICgrSKo+Pj0daWppO8dCrJUkSEhMTIYSAUsmJ7Yozua8zqkBZgO+w6tLGi4kKhwCQbu0IMF0pFlxc4jSex73wlJ/h5oN9bT506evk5GS92iyyZMXBwQEA8OjRI43yR48eycvysnz5csycORM7duxA69atNZa9mKgAWeNaqlWrhvDw8Fzbmz59OiZOnCg/T0pKgouLC5ycnGBnZ5dvPPTqSZIEhUIBJycnfvgVQz16/O+xQiHBxUWBwKpRUBTg/Igq/ypUxLJSFAVUzwrW12QaIiOdNZ47v/CUn+Hmg31tPnTp65eHdOSnyJKVihUrolKlSjhz5gy6du0ql586dQpt27bNc92VK1di8uTJ2L59u8aYl9ykp6cjLi5OY3rjl6lUKq2zPACgVCp5YJkwhULBPiqmhHj5uUK+QIiKN8ULF4PR621Gq+4az5V/v/BEKKDIcIHSMhJKhQ593SbEuMHRK8X/r81Hfn2t73ugSN8xw4YNw7p16/Dff/8BALZs2YLr169j6NChcp3Zs2ejd+/e8vNVq1bh448/xvbt29G5c2etNp8/f46goCCkpKTIzydMmAC1Wo0+ffoU7g4REREREZHRFOnUxZ9++inu3LmD2rVro3z58njy5AnWrl2LN998U65z7949XL9+HQCQkJCAUaNGwc7ODp9++ik+/fRTud6sWbPQs2dPWFlZwdLSElWrVkXZsmXx4MEDuLi4YO/evahVq9Yr30ciIiIiIjJMkSYrVlZW2LRpE7788kvEx8ejWrVqWjdvnDVrlnyWxM7ODmFhYTm25erqCiDr1NOnn36K6dOn4+7du7C3t0e5cuUKd0eIiIiIiMjoijRZyebo6AhHR8ccl7m4uMiPLSwsdL7Ro1KpRI0aNYwRHhERERERFQGTSFaIiIio+Dtz9n+PBbKmE494Bp2mqZ6zNOfyEI67JyrWOCUDERERERGZJJ5ZIaLCdbhr/nVyMPOF2ycJKKAu7QI8M1JMRERE9FpgskJEREQmb2brXH74OGxgg7xvC9FrgZeBERERERGRSWKyQkREREREJonJChERERERmSQmK0REREREZJKYrBARERERkUliskJERERERCaJyQoREREREZkkJitERERERGSSeFNIIiIiem2dOWvYenOW5lwewntFEpkUnlkhIiIiIiKTxGSFiIiIiIhMEi8DIyKj6No15/KZrV9tHERERFR88MwKERERERGZJCYrRERERERkkngZGBEREZmdma1zuXb1sIENtuE0YkSFgWdWiIiIiIjIJPHMChFpOpzLr4354EB6IiIiMjaeWSEiIiIiIpPEMytERERE/+/MWcPWm7M092UhHM5CZDCeWSEiIiIiIpPEMytEZii3GzgCHHtCRGSIXGcXA/SfYYwzixHJeGaFiIiIiIhMEpMVIiIiIiIySUxWiIiIiIjIJHHMCpGJy2t8CRERFUMG3u8qVxwDQ68xJitERsbkgoiIiMg4mKwQvebynIGGiIiI6DXGZIXMGs+CEBFRYTP0RpO5aeyj5wq8rIxeYyaRrERGRuLBgweoVasW7OzsjLaOIe2SHvjhZzCeDSEiIkMZO/kBDEiAiF6RIk1W0tLSMGDAAOzduxdVq1ZFREQEFi5ciDFjxhRoHUPapWJGx0RK1xsgzvnbfBIpIiIyP/okQHOW5l8nhP9tkpEUabISFBSEM2fO4Pbt26hYsSJ27tyJnj17onHjxmjSpInB6xjSLpkAfc/UCAWQ4QJYRgIKUTgx/T+eCSEiIiJ69Yo0Wdm4cSM++ugjVKxYEQDQo0cPeHl5YePGjbkmFbqsY0i79Hp48ZcfAUBdGoh4BiiKLCIiIiJ62YtjQhUKwMUFiIwERAF+W+TZGvNUZMlKTEwMHjx4gIYNG2qUN27cGBcuXDB4HUPaBQC1Wg21Wi0/T0xMBAA8efIEkiTpvmPGduzdott2AYXl/nIbhYACamU60tMyoEDhnlmhosW+Nh/sa/PBvn59TWj8tl71BRRQl6oCVYUorb5efOJnndt5W7/NFomfdd+dYkmSJCQlJaFEiRJQKnO+93xSUhIAQOiYuRZZsvL48WMAgIODg0a5g4ODvMyQdQxpFwDmz5+PoKAgrfKqVavmtRtEREREZDD7og7AqOyL1+4UquTkZJQpUybfekWWrFhZWQHIGgz/otTUVJQoUcLgdQxpFwCmT5+OiRMnys8lScLjx4/h4OAAhYIXGZmipKQkuLi4IDIykrO9FXPsa/PBvjYf7Gvzwb42H7r0tRACycnJqFSpkk5tFlmy4uLiAqVSiejoaI3y6OhouLq6GryOIe0CgEqlgkql0igrW7asrrtDRcjOzo4ffmaCfW0+2Nfmg31tPtjX5iO/vtbljEq2nC8mewVKlSqF5s2bY/fu3XLZs2fPcODAAXTo0EEu+/fff+WxJrqso2u7RERERERk2op0NrAvvvgCHTp0wPTp09GsWTMsX74czs7OGD58uFxnwYIFOHXqFC5fvqzzOrrUISIiIiIi01ZkZ1YAwNfXF4cOHUJERASWLVsGT09PHDt2DDY2NnIdd3d3vPnmm3qto0sdev2pVCrMmjVL6/I9Kn7Y1+aDfW0+2Nfmg31tPgqjrxVC13nDiIiIiIiIXqEiPbNCRERERESUGyYrRERERERkkpisEBERERGRSSrS2cCIDJWeno7z58+jXLlyqFWrlk7rPHv2DNevX0e5cuXg5uZWyBGSsSQkJOD27duoWLEiKleunGfdR48e4dq1a1rlTZo0kW8YS0UvLi4OERERqFatGpycnAptHSp6UVFRiI2Nhbu7e773Vbhz5w5iYmI0ykqVKqUxyQ6Zrv/++w9RUVFo1KgRrK2tdVrn9u3bePLkCTw8PFCqVKlCjpCM5fr163j48CFatmyZb92wsDCkpKRolFWqVAnVq1fXfYOC6DWSlJQkZsyYIapUqSJsbGzEgAEDdFpv06ZNwsbGRtSqVUvY2NiI9u3bi8TExEKOlgpqwYIFwtraWnh4eAhra2vRv39/8fz581zrb926VVhYWIgWLVpo/D169OgVRk25kSRJjBkzRqhUKlG3bl2hUqnExx9/bPR1qOilpaWJ3r17i5IlS8rH71dffZXnOqNGjRLlypXTOHb79+//agImg/3111+iY8eOwsHBQQAQt27dynedx48fC19fX2Frayvc3d2FnZ2dCA4OfgXRUkH8+uuvolmzZsLe3l7omkLUrl1bVK9eXeO4/vLLL/XaLpMVeq3cvn1bzJ49W8TExIiOHTvqlKxcv35dWFpaig0bNgghsj4k3d3dxbBhwwo7XCqAAwcOCKVSKQ4cOCCEEOLu3bvC0dFRzJ07N9d1tm7dKsqUKfOKIiR9rVu3TtjY2IhLly4JIYQ4e/asUKlUYvPmzUZdh4rejBkzRKVKlURUVJQQQoiQkBABQBw/fjzXdUaNGiW6d+/+iiIkY1m2bJnYs2ePOH78uM7JSmBgoPDy8pJ/NFy+fLkoUaKEuHv3biFHSwXx+eefi2PHjokff/xRr2Rl+fLlBdoux6zQa6V69eqYOXMmKlasqPM6mzZtQoUKFTBkyBAAgL29PUaNGoXNmzdDrVYXVqhUQBs2bEDz5s3Rrl07AEC1atUQGBiIDRs25LmeEAJXr17F5cuXkZaW9ipCJR1t2LABPXr0QL169QAAjRo1wttvv51nnxqyDhW9DRs24P3335cv3ezSpQsaNGiQb7+p1WqEhYXh9u3bkCTpVYRKBTR27Fi8/fbbUCp1+0r59OlT/Prrrxg/fjzs7OwAAB999BHs7Ozw008/FWaoVECzZs1CixYt9F7v8ePHOHv2LO7fv2/QdpmsULF34cIFNGzYUKOscePGSElJwc2bN4soKspPbv12+/ZtJCcn57peUlISunfvju7du6NcuXKYN29eYYdKOsqtTy9cuGDUdahoxcXFISYmxqB+O3DgAN577z00b94crq6u+P333wszVCoCV69exfPnzzXeHxYWFnjzzTd5XBdTixcvxrBhw1CrVi00a9ZM7+9eHGBPRSopKQmXLl3Ks46LiwuqVq1q8DYeP34MT09PjTIHBwd5Gb0a8fHxuHHjRp51atasiQoVKgDI6pvsfsr2Yr/Z2tpqrV+1alWEhYXB29sbAPD777+jR48ecHFxwcCBA42xG2SgtLQ0pKam5tinCQkJEEJAoVAUeB0qetmfqzn1W16fuR06dMDMmTNRvnx5SJKEGTNmoE+fPvjnn390nkiFTF9e7w9Df3kn0zVt2jT0798fJUqUwJMnT9C7d2/4+/sjLCxM54lvmKxQkYqIiMC0adPyrBMYGIgPP/zQ4G1YWVlpXQ6UmpoKAChRooTB7ZJ+Lly4gNmzZ+dZZ/LkyejevTsAw/rNx8dH43mXLl3QpUsXBAcHM1kpYtn/KeXUp5aWljkmHYasQ0Uvr37L6zM3+9gHAKVSiS+++AKrV6/Grl27MHny5MIJll45Q98f9Hp677335Mdly5bFggUL4OPjg8uXL8s/LOaHyQoVqXr16uHYsWOFuo2qVasiKipKoyw6OhoA4OrqWqjbpv/x8/ODn5+fzvWrVq0q91O26OhoqFQqODs769xO+fLlcfr0aZ3rU+GwsLBA5cqVc+zT3M6cGrIOFb3KlSvDwsIix37T5zNXqVTC0dFRqx16vWUfu9HR0XB3d5fLo6OjUb9+/aIKi16R8uXLA8jqb12TFY5ZoWInOTkZx44dk8c1dOjQASdOnMDDhw/lOrt27YKHh0e+9+2gotOhQwfs378fz58/l8t27dqFt956CxYWFgCAhw8f4tixY0hPTweQdS+dF6Wnp+PIkSPw8vJ6dYFTrjp06ICQkBAIIQAAkiQhJCQEHTp0kOtERUXhxIkTeq1DpsXa2hqtWrXC7t275bLU1FSEhoZq9Nvt27cRFhYmP3/5Xgy3b9/GnTt3ePwWA1euXMGVK1cAZF3u6+bmpvH+iIqKwvnz53lcFwPnz5/HnTt3AGgf0wDw559/QqFQaF2en6cCzSVGVASOHTsmjh49Kpo0aSL8/PzE0aNHxZkzZ+TlJ0+eFADEyZMnhRBCqNVqUb9+fdG8eXPx22+/idmzZwsLCwuxc+fOotoF0sGjR49ElSpVRNeuXcXu3bvFuHHjhEql0ujrn3/+WQAQ9+/fF0II4e/vL6ZOnSp27doltm7dKtq2bSvKlSsnrl27VlS7QS+4efOmsLOzE++9957YvXu36N+/v7C3txf//fefXGf+/PlCpVLptQ6ZnmPHjgkrKysxefJksWvXLuHn5yeqVaumcX+rESNGiNq1awshhMjIyBAeHh5iyZIlYt++fWLdunWievXq4s033xSpqalFtRukg3v37omjR4+K1atXCwAiODhYHD16VMTGxsp1OnbsKDp27Cg/Dw4OFpaWlmL+/Plix44dolGjRsLHx0dkZGQUxS6Qjm7evCmOHj0qZs6cKQCIo0ePiqNHj4onT57IdWrUqCFGjRolhBDi6NGjolWrVmLt2rVi3759Ys6cOaJ06dJizJgxem1XIcT//1xF9Jpo06YNMjIyNMqcnZ2xY8cOAFkzjQwfPhxr1qxB3bp1AWTdBX3hwoU4d+4cypUrh2HDhvEXnNdAVFQUFixYgGvXrqFSpUoYO3asxriUv/76C7NmzcLu3btRrlw5qNVqrF69GocOHYIQAm+88QbGjh0LR0fHItwLetHVq1exdOlS3L17FzVq1MDkyZM1Bk9v3rwZGzZswF9//aXzOmSaTp48iRUrViA2NhZeXl6YNm2axrTzS5YswYULF7B582YAQGxsLJYvX46wsDCULVsWrVq1wrBhw3QehEtFY9OmTVizZo1W+bRp09ClSxcAwKRJkwBk9Xm2vXv3Yv369Xjy5AmaNGmCKVOmoEyZMq8maDLIvHnzsGfPHq3y5cuXy5d0BQQEoEmTJpgwYQKArDvYr127Fnfu3EGVKlXg7++Pd955R6/tMlkhIiIiIiKTxDErRERERERkkpisEBERERGRSWKyQkREREREJonJChERERERmSQmK0REREREZJKYrBARERERkUliskJERERERCaJyQoREb22kpOTERwcjNTU1KIOhYiICgGTFSIiem1FR0fj3XffxaNHj4zS3s6dOxEfH1/gdm7fvo3ff/8dZ86cQUZGhhEiIyIyT5ZFHQAREZEpiIyMRN++fREXF2dwG7dv38awYcMQGRmJOnXq4Nq1a1Aqlfjtt9/g6elpxGiJiMwDz6wQEZFOrly5gp07d+Ls2bNaZwvOnTuH48eP49mzZwgNDUVISAgAYM+ePbh16xZiY2MREhKCU6dOyevExMRg165dCA0NxbNnzzTae/HyrkuXLmH79u2IiorSKc6oqCgEBwcjNjZWLrt27Rp2796Nq1evIj09HcHBwXjy5InGer///jtatGiBsmXLamz/5s2bCAkJQXh4uFz34sWL2LVrF+7cuaMV92effYZbt24hJCQE169fh7u7O4YMGaJT7EREpIlnVoiIKE8pKSl49913ce7cOTRs2BD//vsvVCoVQkJCUKVKFQDAunXrcOLECajValSrVg01a9ZE165dMXHiRFSuXBm3b99G/fr14efnh6ZNm2Lp0qWYOXMmmjZtikePHsmJS/PmzQH87/KuLl264Pbt2/Dy8kKVKlXk7eXm6tWr8PPzQ0BAAPr16wcAmDFjBpYsWYJWrVohJiYGVatWxd69e3HhwgU0aNBAXvf3339Hly5dNLbv6+uLJ0+eoGLFijhw4AAmTZqEmzdv4u7du3BycsKRI0fw/fffIyAgAAA02gMAS0tLdO/eHWPGjIEQAgqFwhhdQkRkPgQREVEexo4dK9q1ayfS0tKEEEJIkiT69+8v/P395TojRowQSqVSnD59WmPd2rVrC1dXV/Hw4UO57MqVK8LCwkLs3LlTLhs2bJioVauWeP78uRBCiGvXrgkAYuDAgUKSpFxjy64XGRkpTp06JRwcHMTcuXPl5f/8849QKBQiNDRUCCFEZmam6NOnjwAgLly4INdLSUkRJUuWFNevX9dod9SoUXKdr776SgAQH3/8sVw2Z84c4e7unufr16dPH+Ht7Z1nHSIiyhkvAyMiolxJkoQffvgBXl5eCAkJwdatW7F161ZUrFgRhw4d0qjbpEkTNG7cWKuNAQMGwMHBQX6+detW1K5dG927d5fLPv30U9y8eRMXLlzQWHf06NE6nY0IDQ2Fn58f5s+fj08++UQu3759O+rXr4/27dsDAJRKJT7++GOt9Q8cOIDKlSujdu3aGuUjRoyQHzdr1izHstu3byMzMzPHuH766Sds374d8+fPz3cfiIhIGy8DIyKiXD158gSJiYkIDw/XGAMCAB06dIAkSVAqs373qlixYo5tvFweERGB6tWra5S5urrC0tISERERGglPbm2+bNSoUejcuTOGDRumUR4ZGYlq1applL38HNC8BOxF9vb28mOVSpVjmSRJSE9Ph4WFhVabQ4cOxfLly9GxY0ed9oOIiDQxWSEiolyVLl0aFhYWGDx4MAYNGpRn3dzOgLxc7ujoiBs3bmiUJScnIyMjA46Ojjq1+bLNmzdjyJAhmD17Nj777DO5vFy5crh7965G3YSEBK319+zZg++//16nbenijz/+QO/evbFkyRKMHDnSaO0SEZkbXgZGRES5UqlUaNOmDdasWQNJkjSWRUdHG9Rmy5YtcfbsWURGRsplW7duhY2NDerXr29Qmz4+PggNDcWXX36JOXPmyOUtWrTAqVOn8ODBA7ls165dGuteuHABSUlJaN26tUHbftnevXvRu3dvLFq0CGPGjDFKm0RE5opnVoiIKE/Lly9H27Zt4evri4CAAKSnp+PQoUNwdnbG2rVr9W6vW7duaNu2Ldq1a4cxY8bg0aNHWLRoEebOnYty5coZHKePjw/+/PNP+Pn5QaFQYMaMGejRowcaNGiA9u3b46OPPkJUVBR++OEHAP87a/P777/Dz88PVlZWBm8725kzZ9CrVy+0bNkSzs7OCA4Olpf16tULJUqUKPA2iIjMCZMVIiLKk4eHB65cuYLvv/8eZ8+ehYODA4YPH47OnTvLdXx8fJCcnKy1bufOnVGrVi2t8pCQEHz//fc4efIkSpYsid9++01jXIednR369euHUqVK5Rnby/UaN26M/fv34+uvv8a5c+fQqFEjhIaGYvny5Th79ixq1qyJbdu2oXnz5rC1tQWQlay8fKlWTtu3t7dHv3795LErAODk5IR+/frJ41WePXsmTxywc+dOrdeCyQoRkX4UQghR1EEQEREVlsePH2ucsVmxYgVmzZqF+Ph4PHz4EJUrV0ZMTAycnJyKMEoiIsoJz6wQEVGxNmXKFJQqVQr169fHlStXsGrVKixZsgRKpRL//fcfxo8fz0SFiMhE8cwKEREVa2lpadi4cSPCwsLg4OCAbt26oXnz5kUdFhER6YDJChERERERmSROXUxERERERCaJyQoREREREZkkJitERERERGSSmKwQEREREZFJYrJCREREREQmickKERERERGZJCYrRERERERkkpisEBERERGRSWKyQkREREREJun/AF86GcY9M3NbAAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 800x400 with 1 Axes>"
       ]