From 8d5871f52dc2ce334a7b37091dbadd3c6cfd8409 Mon Sep 17 00:00:00 2001
From: Yuta  Norden <ynorden@Yutas-MacBook-Pro.local>
Date: Mon, 12 Jun 2023 09:37:11 -0600
Subject: [PATCH 1/6] mean var used in an exercise before intro

---
 intermediate/xarray_and_dask.ipynb | 1563 +++++++++++++++++++++++++++-
 1 file changed, 1542 insertions(+), 21 deletions(-)

diff --git a/intermediate/xarray_and_dask.ipynb b/intermediate/xarray_and_dask.ipynb
index 4de7a1ce..59679147 100644
--- a/intermediate/xarray_and_dask.ipynb
+++ b/intermediate/xarray_and_dask.ipynb
@@ -43,9 +43,84 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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> 400 B </td>\n",
+       "                        <td> 32 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (10, 5) </td>\n",
+       "                        <td> (2, 2) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 15 chunks in 1 graph layer </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"110\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"60\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"24\" x2=\"60\" y2=\"24\" />\n",
+       "  <line x1=\"0\" y1=\"48\" x2=\"60\" y2=\"48\" />\n",
+       "  <line x1=\"0\" y1=\"72\" x2=\"60\" y2=\"72\" />\n",
+       "  <line x1=\"0\" y1=\"96\" x2=\"60\" y2=\"96\" />\n",
+       "  <line x1=\"0\" y1=\"120\" x2=\"60\" 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=\"24\" y1=\"0\" x2=\"24\" y2=\"120\" />\n",
+       "  <line x1=\"48\" y1=\"0\" x2=\"48\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 60.0,0.0 60.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"30.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >5</text>\n",
+       "  <text x=\"80.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,80.000000,60.000000)\">10</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "dask.array<ones_like, shape=(10, 5), dtype=float64, chunksize=(2, 2), chunktype=numpy.ndarray>"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "import dask\n",
     "import dask.array\n",
@@ -71,9 +146,82 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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> 80 B </td>\n",
+       "                        <td> 16 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (10,) </td>\n",
+       "                        <td> (2,) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 5 chunks in 3 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"170\" height=\"88\" 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=\"38\" x2=\"120\" y2=\"38\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"38\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"24\" y1=\"0\" x2=\"24\" y2=\"38\" />\n",
+       "  <line x1=\"48\" y1=\"0\" x2=\"48\" y2=\"38\" />\n",
+       "  <line x1=\"72\" y1=\"0\" x2=\"72\" y2=\"38\" />\n",
+       "  <line x1=\"96\" y1=\"0\" x2=\"96\" y2=\"38\" />\n",
+       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"38\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,38.596863036086 0.0,38.596863036086\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"60.000000\" y=\"58.596863\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >10</text>\n",
+       "  <text x=\"140.000000\" y=\"19.298432\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,19.298432)\">1</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "dask.array<mean_agg-aggregate, shape=(10,), dtype=float64, chunksize=(2,), chunktype=numpy.ndarray>"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "dasky.mean(axis=-1)"
    ]
@@ -89,18 +237,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "dask.visualize(dasky.mean(axis=-1))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "dasky.mean(axis=-1).compute()"
    ]
@@ -135,7 +306,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -144,9 +315,450 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "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",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<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",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\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",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\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-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item 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",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\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",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\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",
+       "  margin-bottom: 0;\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",
+       "}\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",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\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-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",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;air&#x27; (time: 2920, lat: 25, lon: 53)&gt;\n",
+       "[3869000 values with dtype=float32]\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
+       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
+       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
+       "Attributes:\n",
+       "    long_name:     4xDaily Air temperature at sigma level 995\n",
+       "    units:         degK\n",
+       "    precision:     2\n",
+       "    GRIB_id:       11\n",
+       "    GRIB_name:     TMP\n",
+       "    var_desc:      Air temperature\n",
+       "    dataset:       NMC Reanalysis\n",
+       "    level_desc:    Surface\n",
+       "    statistic:     Individual Obs\n",
+       "    parent_stat:   Other\n",
+       "    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-52b8344b-8455-4e63-ac25-d9d17b899b8a' class='xr-array-in' type='checkbox' checked><label for='section-52b8344b-8455-4e63-ac25-d9d17b899b8a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[3869000 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-0e9afcef-30f7-475c-a115-93c5dfc76ea9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0e9afcef-30f7-475c-a115-93c5dfc76ea9' class='xr-section-summary' >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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-7ad642a9-999a-49c8-beba-19d36f973c63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ad642a9-999a-49c8-beba-19d36f973c63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40edce3b-519d-4739-8133-defe81a1066f' class='xr-var-data-in' type='checkbox'><label for='data-40edce3b-519d-4739-8133-defe81a1066f' 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>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,\n",
+       "       45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,\n",
+       "       15. ], 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'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ad6d7444-8e93-4ee4-9ce9-81ffd04a49d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad6d7444-8e93-4ee4-9ce9-81ffd04a49d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5383596-4cd3-4d4e-8305-435862e45267' class='xr-var-data-in' type='checkbox'><label for='data-e5383596-4cd3-4d4e-8305-435862e45267' 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>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
+       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
+       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
+       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
+       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
+       "       325. , 327.5, 330. ], dtype=float32)</pre></div></li><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'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-166ba93b-a774-4ec9-844c-a70bf5b6c4b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-166ba93b-a774-4ec9-844c-a70bf5b6c4b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eeac2c73-71f3-4ed0-a2d9-e9e1eee22778' class='xr-var-data-in' type='checkbox'><label for='data-eeac2c73-71f3-4ed0-a2d9-e9e1eee22778' 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></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,\n",
+       "       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,\n",
+       "       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-699d01b8-a56f-48d7-b5c5-e200cfdb4fea' class='xr-section-summary-in' type='checkbox'  ><label for='section-699d01b8-a56f-48d7-b5c5-e200cfdb4fea' class='xr-section-summary' >Indexes: <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-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e212ab12-e2e7-405e-ad48-a6a2a1d6b135' class='xr-index-data-in' type='checkbox'/><label for='index-e212ab12-e2e7-405e-ad48-a6a2a1d6b135' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,\n",
+       "       45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,\n",
+       "       15.0],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5ee40465-6939-41a1-a592-439ae0d93081' class='xr-index-data-in' type='checkbox'/><label for='index-5ee40465-6939-41a1-a592-439ae0d93081' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,\n",
+       "       225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,\n",
+       "       250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,\n",
+       "       275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,\n",
+       "       300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,\n",
+       "       325.0, 327.5, 330.0],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c78bb939-f188-4d52-9966-094b91b4dbeb' class='xr-index-data-in' type='checkbox'/><label for='index-c78bb939-f188-4d52-9966-094b91b4dbeb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,\n",
+       "               &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,\n",
+       "               &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,\n",
+       "               &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,\n",
+       "               &#x27;2013-01-03 00:00:00&#x27;, &#x27;2013-01-03 06:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2014-12-29 12:00:00&#x27;, &#x27;2014-12-29 18:00:00&#x27;,\n",
+       "               &#x27;2014-12-30 00:00:00&#x27;, &#x27;2014-12-30 06:00:00&#x27;,\n",
+       "               &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,\n",
+       "               &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,\n",
+       "               &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ed5ca814-0bfc-468f-adae-73cfaa8db1c6' class='xr-section-summary-in' type='checkbox'  ><label for='section-ed5ca814-0bfc-468f-adae-73cfaa8db1c6' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'air' (time: 2920, lat: 25, lon: 53)>\n",
+       "[3869000 values with dtype=float32]\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
+       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
+       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
+       "Attributes:\n",
+       "    long_name:     4xDaily Air temperature at sigma level 995\n",
+       "    units:         degK\n",
+       "    precision:     2\n",
+       "    GRIB_id:       11\n",
+       "    GRIB_name:     TMP\n",
+       "    var_desc:      Air temperature\n",
+       "    dataset:       NMC Reanalysis\n",
+       "    level_desc:    Surface\n",
+       "    statistic:     Individual Obs\n",
+       "    parent_stat:   Other\n",
+       "    actual_range:  [185.16 322.1 ]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "ds = xr.tutorial.open_dataset(\"air_temperature\")\n",
     "ds.air"
@@ -154,9 +766,525 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "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",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<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",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\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",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\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-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item 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",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\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",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\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",
+       "  margin-bottom: 0;\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",
+       "}\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",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\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-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",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:  (lat: 25, time: 2920, lon: 53)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
+       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
+       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
+       "Data variables:\n",
+       "    air      (time, lat, lon) float32 dask.array&lt;chunksize=(2920, 25, 25), meta=np.ndarray&gt;\n",
+       "Attributes:\n",
+       "    Conventions:  COARDS\n",
+       "    title:        4x daily NMC reanalysis (1948)\n",
+       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
+       "    platform:     Model\n",
+       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</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-8120ef7e-7b7f-4ffa-a1fa-920a7b6d20ee' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8120ef7e-7b7f-4ffa-a1fa-920a7b6d20ee' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d2650099-6321-4f69-ba59-6fb8650e3c9b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d2650099-6321-4f69-ba59-6fb8650e3c9b' class='xr-section-summary' >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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-a4ac5053-f9a7-4784-9404-104353d30e45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4ac5053-f9a7-4784-9404-104353d30e45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f62cb0a-0d48-439b-b152-10fcadb95b57' class='xr-var-data-in' type='checkbox'><label for='data-0f62cb0a-0d48-439b-b152-10fcadb95b57' 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>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,\n",
+       "       45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,\n",
+       "       15. ], 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'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ba943574-97e3-4aa6-8b7d-5122e55ae461' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba943574-97e3-4aa6-8b7d-5122e55ae461' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c9a37f9-ad0b-4a9e-8cdb-c2848db78181' class='xr-var-data-in' type='checkbox'><label for='data-3c9a37f9-ad0b-4a9e-8cdb-c2848db78181' 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>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
+       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
+       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
+       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
+       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
+       "       325. , 327.5, 330. ], dtype=float32)</pre></div></li><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'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-1c927b3a-3fdf-4aa8-86bb-d3e9db3e93b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c927b3a-3fdf-4aa8-86bb-d3e9db3e93b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc328c04-6f15-4955-adfe-8333163ba667' class='xr-var-data-in' type='checkbox'><label for='data-bc328c04-6f15-4955-adfe-8333163ba667' 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></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,\n",
+       "       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,\n",
+       "       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ec587e49-5d8c-4e2f-afd9-48478c67b11a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ec587e49-5d8c-4e2f-afd9-48478c67b11a' class='xr-section-summary' >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>air</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=(2920, 25, 25), meta=np.ndarray&gt;</div><input id='attrs-1ebf5422-8d64-4cf0-81e6-eaff740d23b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ebf5422-8d64-4cf0-81e6-eaff740d23b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da30b8a6-b926-42c9-892b-acd270f8a91b' class='xr-var-data-in' type='checkbox'><label for='data-da30b8a6-b926-42c9-892b-acd270f8a91b' 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>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</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> 14.76 MiB </td>\n",
+       "                        <td> 6.96 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (2920, 25, 53) </td>\n",
+       "                        <td> (2920, 25, 25) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3 chunks in 2 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=\"159\" height=\"146\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"10\" y1=\"0\" x2=\"80\" y2=\"70\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"10\" y1=\"25\" x2=\"80\" y2=\"96\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"80\" y1=\"70\" x2=\"80\" y2=\"96\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"10.0,0.0 80.58823529411765,70.58823529411765 80.58823529411765,96.00085180870013 10.0,25.41261651458249\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"10\" y1=\"0\" x2=\"38\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"80\" y1=\"70\" x2=\"109\" y2=\"70\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"10\" y1=\"0\" x2=\"80\" y2=\"70\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"23\" y1=\"0\" x2=\"94\" y2=\"70\" />\n",
+       "  <line x1=\"36\" y1=\"0\" x2=\"107\" y2=\"70\" />\n",
+       "  <line x1=\"38\" y1=\"0\" x2=\"109\" y2=\"70\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"10.0,0.0 38.48973265594604,0.0 109.0779679500637,70.58823529411765 80.58823529411765,70.58823529411765\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"80\" y1=\"70\" x2=\"109\" y2=\"70\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"80\" y1=\"96\" x2=\"109\" y2=\"96\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"80\" y1=\"70\" x2=\"80\" y2=\"96\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"94\" y1=\"70\" x2=\"94\" y2=\"96\" />\n",
+       "  <line x1=\"107\" y1=\"70\" x2=\"107\" y2=\"96\" />\n",
+       "  <line x1=\"109\" y1=\"70\" x2=\"109\" y2=\"96\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"80.58823529411765,70.58823529411765 109.0779679500637,70.58823529411765 109.0779679500637,96.00085180870013 80.58823529411765,96.00085180870013\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"94.833102\" y=\"116.000852\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >53</text>\n",
+       "  <text x=\"129.077968\" y=\"83.294544\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,129.077968,83.294544)\">25</text>\n",
+       "  <text x=\"35.294118\" y=\"80.706734\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,35.294118,80.706734)\">2920</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-eb3b7ad1-ec86-405e-bc4d-7bd8acd7c355' class='xr-section-summary-in' type='checkbox'  ><label for='section-eb3b7ad1-ec86-405e-bc4d-7bd8acd7c355' class='xr-section-summary' >Indexes: <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-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b3f14330-3dd7-4e84-854a-d75df7371da4' class='xr-index-data-in' type='checkbox'/><label for='index-b3f14330-3dd7-4e84-854a-d75df7371da4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,\n",
+       "       45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,\n",
+       "       15.0],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0bccbf72-5dff-4fc2-9a3d-3166f14da9f5' class='xr-index-data-in' type='checkbox'/><label for='index-0bccbf72-5dff-4fc2-9a3d-3166f14da9f5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,\n",
+       "       225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,\n",
+       "       250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,\n",
+       "       275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,\n",
+       "       300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,\n",
+       "       325.0, 327.5, 330.0],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-302560a7-35f1-45d2-96ac-78d09dfe4bf5' class='xr-index-data-in' type='checkbox'/><label for='index-302560a7-35f1-45d2-96ac-78d09dfe4bf5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,\n",
+       "               &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,\n",
+       "               &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,\n",
+       "               &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,\n",
+       "               &#x27;2013-01-03 00:00:00&#x27;, &#x27;2013-01-03 06:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2014-12-29 12:00:00&#x27;, &#x27;2014-12-29 18:00:00&#x27;,\n",
+       "               &#x27;2014-12-30 00:00:00&#x27;, &#x27;2014-12-30 06:00:00&#x27;,\n",
+       "               &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,\n",
+       "               &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,\n",
+       "               &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91409501-9ff9-49ad-a718-1985bcea302e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-91409501-9ff9-49ad-a718-1985bcea302e' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis\n",
+       "(4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:  (lat: 25, time: 2920, lon: 53)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
+       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
+       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
+       "Data variables:\n",
+       "    air      (time, lat, lon) float32 dask.array<chunksize=(2920, 25, 25), meta=np.ndarray>\n",
+       "Attributes:\n",
+       "    Conventions:  COARDS\n",
+       "    title:        4x daily NMC reanalysis (1948)\n",
+       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
+       "    platform:     Model\n",
+       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly..."
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "ds = xr.tutorial.open_dataset(\n",
     "    \"air_temperature\",\n",
@@ -230,6 +1358,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "collapsed": true,
     "jupyter": {
      "outputs_hidden": true
     },
@@ -246,13 +1375,14 @@
    "source": [
     "### Exercise\n",
     "\n",
-    "Try calling `mean.values` and `mean.data`. Do you understand the difference?"
+    "Try calling `ds.air.values` and `ds.air.data`. Do you understand the difference?"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "collapsed": true,
     "jupyter": {
      "outputs_hidden": true
     },
@@ -334,6 +1464,13 @@
     "**Tip:** There is a third option : \"persisting\". `.persist()` loads the values into distributed RAM. The values are computed but remain distributed across workers. So `ds.air.persist()` still returns a dask array. This is useful if you will be repeatedly using a dataset for computation but it is too large to load into local memory. You will see a persistent task on the dashboard. See the [dask user guide](https://docs.dask.org/en/latest/api.html#dask.persist) for more on persisting\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Think what to do with this tip. Whether to delete it or modify. "
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -347,9 +1484,6 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "jupyter": {
-     "outputs_hidden": true
-    },
     "tags": []
    },
    "outputs": [],
@@ -451,9 +1585,381 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/ynorden/miniconda3/envs/xarray-tutorial/lib/python3.11/site-packages/distributed/node.py:182: UserWarning: Port 8787 is already in use.\n",
+      "Perhaps you already have a cluster running?\n",
+      "Hosting the HTTP server on port 53590 instead\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
+       "    <div style=\"margin-left: 48px;\">\n",
+       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
+       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-efedc7ec-06fe-11ee-8584-dab00aab5b16</p>\n",
+       "        <table style=\"width: 100%; text-align: left;\">\n",
+       "\n",
+       "        <tr>\n",
+       "        \n",
+       "            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
+       "            <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
+       "        \n",
+       "        </tr>\n",
+       "\n",
+       "        \n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53590/status\" target=\"_blank\">http://127.0.0.1:53590/status</a>\n",
+       "                </td>\n",
+       "                <td style=\"text-align: left;\"></td>\n",
+       "            </tr>\n",
+       "        \n",
+       "\n",
+       "        </table>\n",
+       "\n",
+       "        \n",
+       "            <button style=\"margin-bottom: 12px;\" data-commandlinker-command=\"dask:populate-and-launch-layout\" data-commandlinker-args='{\"url\": \"http://127.0.0.1:53590/status\" }'>\n",
+       "                Launch dashboard in JupyterLab\n",
+       "            </button>\n",
+       "        \n",
+       "\n",
+       "        \n",
+       "            <details>\n",
+       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
+       "            <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
+       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
+       "    </div>\n",
+       "    <div style=\"margin-left: 48px;\">\n",
+       "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
+       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">48c8d8eb</p>\n",
+       "        <table style=\"width: 100%; text-align: left;\">\n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:53590/status\" target=\"_blank\">http://127.0.0.1:53590/status</a>\n",
+       "                </td>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Workers:</strong> 5\n",
+       "                </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Total threads:</strong> 10\n",
+       "                </td>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Total memory:</strong> 32.00 GiB\n",
+       "                </td>\n",
+       "            </tr>\n",
+       "            \n",
+       "            <tr>\n",
+       "    <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
+       "    <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
+       "</tr>\n",
+       "\n",
+       "            \n",
+       "        </table>\n",
+       "\n",
+       "        <details>\n",
+       "            <summary style=\"margin-bottom: 20px;\">\n",
+       "                <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
+       "            </summary>\n",
+       "\n",
+       "            <div style=\"\">\n",
+       "    <div>\n",
+       "        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
+       "        <div style=\"margin-left: 48px;\">\n",
+       "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
+       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-0e793517-bac2-4172-8d3c-0b90c92c8812</p>\n",
+       "            <table style=\"width: 100%; text-align: left;\">\n",
+       "                <tr>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Comm:</strong> tcp://127.0.0.1:53591\n",
+       "                    </td>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Workers:</strong> 5\n",
+       "                    </td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:53590/status\" target=\"_blank\">http://127.0.0.1:53590/status</a>\n",
+       "                    </td>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Total threads:</strong> 10\n",
+       "                    </td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Started:</strong> Just now\n",
+       "                    </td>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Total memory:</strong> 32.00 GiB\n",
+       "                    </td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    <details style=\"margin-left: 48px;\">\n",
+       "        <summary style=\"margin-bottom: 20px;\">\n",
+       "            <h3 style=\"display: inline;\">Workers</h3>\n",
+       "        </summary>\n",
+       "\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:53606\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 2\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53611/status\" target=\"_blank\">http://127.0.0.1:53611/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 6.40 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:53594\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /var/folders/6s/g3njds_16zl3z7k3y91ztn8w0000gn/T/dask-scratch-space/worker-w22y_7zo\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:53608\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 2\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53610/status\" target=\"_blank\">http://127.0.0.1:53610/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 6.40 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:53595\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /var/folders/6s/g3njds_16zl3z7k3y91ztn8w0000gn/T/dask-scratch-space/worker-k5_m5ngf\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:53604\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 2\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53612/status\" target=\"_blank\">http://127.0.0.1:53612/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 6.40 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:53596\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /var/folders/6s/g3njds_16zl3z7k3y91ztn8w0000gn/T/dask-scratch-space/worker-9jau_juc\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:53605\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 2\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53613/status\" target=\"_blank\">http://127.0.0.1:53613/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 6.40 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:53597\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /var/folders/6s/g3njds_16zl3z7k3y91ztn8w0000gn/T/dask-scratch-space/worker-bz0jzm8l\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:53607\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 2\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53609/status\" target=\"_blank\">http://127.0.0.1:53609/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 6.40 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:53598\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /var/folders/6s/g3njds_16zl3z7k3y91ztn8w0000gn/T/dask-scratch-space/worker-kmthvhw1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "\n",
+       "    </details>\n",
+       "</div>\n",
+       "\n",
+       "        </details>\n",
+       "    </div>\n",
+       "</div>\n",
+       "            </details>\n",
+       "        \n",
+       "\n",
+       "    </div>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "<Client: 'tcp://127.0.0.1:53591' processes=5 threads=10, memory=32.00 GiB>"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "from dask.distributed import Client\n",
     "\n",
@@ -464,10 +1970,17 @@
     "# if os.environ.get('JUPYTERHUB_USER'):\n",
     "#    dask.config.set(**{\"distributed.dashboard.link\": \"/user/{JUPYTERHUB_USER}/proxy/{port}/status\"})\n",
     "\n",
-    "client = Client(local_directory='/tmp')\n",
+    "client = Client()\n",
     "client"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -483,6 +1996,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "collapsed": true,
     "jupyter": {
      "outputs_hidden": true
     },
@@ -539,6 +2053,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "collapsed": true,
     "jupyter": {
      "outputs_hidden": true
     },
@@ -632,6 +2147,11 @@
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
@@ -641,7 +2161,8 @@
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3"
+   "pygments_lexer": "ipython3",
+   "version": "3.11.3"
   }
  },
  "nbformat": 4,

From 88fc75e0199b77c21b9b135aa9cc1f04423a73b7 Mon Sep 17 00:00:00 2001
From: Yuta  Norden <ynorden@Yutas-MacBook-Pro.local>
Date: Mon, 12 Jun 2023 09:59:22 -0600
Subject: [PATCH 2/6] deleting note to self

---
 intermediate/xarray_and_dask.ipynb | 7 -------
 1 file changed, 7 deletions(-)

diff --git a/intermediate/xarray_and_dask.ipynb b/intermediate/xarray_and_dask.ipynb
index 59679147..8d82e0ea 100644
--- a/intermediate/xarray_and_dask.ipynb
+++ b/intermediate/xarray_and_dask.ipynb
@@ -1464,13 +1464,6 @@
     "**Tip:** There is a third option : \"persisting\". `.persist()` loads the values into distributed RAM. The values are computed but remain distributed across workers. So `ds.air.persist()` still returns a dask array. This is useful if you will be repeatedly using a dataset for computation but it is too large to load into local memory. You will see a persistent task on the dashboard. See the [dask user guide](https://docs.dask.org/en/latest/api.html#dask.persist) for more on persisting\n"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Think what to do with this tip. Whether to delete it or modify. "
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},

From 86ba621ff8edc3526e7d54f16b08757325ac0e7e Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 12 Jun 2023 16:02:37 +0000
Subject: [PATCH 3/6] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 intermediate/xarray_and_dask.ipynb | 1542 +---------------------------
 1 file changed, 16 insertions(+), 1526 deletions(-)

diff --git a/intermediate/xarray_and_dask.ipynb b/intermediate/xarray_and_dask.ipynb
index 8d82e0ea..7be9a8fd 100644
--- a/intermediate/xarray_and_dask.ipynb
+++ b/intermediate/xarray_and_dask.ipynb
@@ -43,84 +43,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<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> 400 B </td>\n",
-       "                        <td> 32 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (10, 5) </td>\n",
-       "                        <td> (2, 2) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 15 chunks in 1 graph layer </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"110\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"60\" y2=\"0\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"0\" y1=\"24\" x2=\"60\" y2=\"24\" />\n",
-       "  <line x1=\"0\" y1=\"48\" x2=\"60\" y2=\"48\" />\n",
-       "  <line x1=\"0\" y1=\"72\" x2=\"60\" y2=\"72\" />\n",
-       "  <line x1=\"0\" y1=\"96\" x2=\"60\" y2=\"96\" />\n",
-       "  <line x1=\"0\" y1=\"120\" x2=\"60\" 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=\"24\" y1=\"0\" x2=\"24\" y2=\"120\" />\n",
-       "  <line x1=\"48\" y1=\"0\" x2=\"48\" y2=\"120\" />\n",
-       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"0.0,0.0 60.0,0.0 60.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"30.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >5</text>\n",
-       "  <text x=\"80.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,80.000000,60.000000)\">10</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table>"
-      ],
-      "text/plain": [
-       "dask.array<ones_like, shape=(10, 5), dtype=float64, chunksize=(2, 2), chunktype=numpy.ndarray>"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import dask\n",
     "import dask.array\n",
@@ -146,82 +71,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<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> 80 B </td>\n",
-       "                        <td> 16 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (10,) </td>\n",
-       "                        <td> (2,) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 5 chunks in 3 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"170\" height=\"88\" 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=\"38\" x2=\"120\" y2=\"38\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"38\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"24\" y1=\"0\" x2=\"24\" y2=\"38\" />\n",
-       "  <line x1=\"48\" y1=\"0\" x2=\"48\" y2=\"38\" />\n",
-       "  <line x1=\"72\" y1=\"0\" x2=\"72\" y2=\"38\" />\n",
-       "  <line x1=\"96\" y1=\"0\" x2=\"96\" y2=\"38\" />\n",
-       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"38\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,38.596863036086 0.0,38.596863036086\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"60.000000\" y=\"58.596863\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >10</text>\n",
-       "  <text x=\"140.000000\" y=\"19.298432\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,19.298432)\">1</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table>"
-      ],
-      "text/plain": [
-       "dask.array<mean_agg-aggregate, shape=(10,), dtype=float64, chunksize=(2,), chunktype=numpy.ndarray>"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "dasky.mean(axis=-1)"
    ]
@@ -237,41 +89,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAACuMAAAOpCAYAAAAKCshfAAAABmJLR0QA/wD/AP+gvaeTAAAgAElEQVR4nOzde7TVdZ3H4c85gHfEC3hD5aIoigcUUVRIy0AuqVGmlhappU01auVkqVOLRps1ZZamjY2yLELN+xXFO4ZACUiIYN64OCpih7sKKHD2/OFIklwOm733d/9++3nW4o/OYa3e6QJfLT/7S12hUCgEAAAAAAAAAAAAALCpGutTLwAAAAAAAAAAAACArHKMCwAAAAAAAAAAAABFcowLAAAAAAAAAAAAAEVqmXoA0HyLFi2KRx99NPWMqveZz3wmtt1229QzAIDQL82lXwCgeuiX5tEvAFA99Evz6BcAqB76pXn0C2RLXaFQKKQeATTPpEmT4vDDD089o+rNmjUrOnXqlHoGABD6pbn0CwBUD/3SPPoFAKqHfmke/QIA1UO/NI9+gUxprE+9ANh0s2bNikKh4Mc//Zg4cWLqvzUAwHroF/0CAFmjX/QLAGSNftEvAJA1+kW/QJ44xgUAAAAAAAAAAACAIjnGBQAAAAAAAAAAAIAiOcYFAAAAAAAAAAAAgCI5xgUAAAAAAAAAAACAIjnGBQAAAAAAAAAAAIAiOcYFAAAAAAAAAAAAgCI5xgUAAAAAAAAAAACAIjnGBQAAAAAAAAAAAIAiOcYFAAAAAAAAAAAAgCI5xgUAAAAAAAAAAACAIjnGBQAAAAAAAAAAAIAiOcYFAAAAAAAAAAAAgCI5xgUAAAAAAAAAAACAIjnGBQAAAAAAAAAAAIAiOcYFAAAAAAAAAAAAgCI5xgUAAAAAAAAAAACAIjnGBTZLU1NT6gkAAAAAufbOO++kngAA0GyrVq2K1atXp54BALDJ3n777ViwYEHqGUBGOcYFNtlLL70U559/fnTs2DF23nnnOP744+Pxxx9PPQsAoFm6dOkSZ599duoZAAAbNGXKlBgwYEDstNNO0bp169htt93iG9/4RixdujT1NACAdbrpppviqKOOitatW8dWW20VXbt2jWuuucbDLgBAJixYsCC6du0an/jEJ1JPATLKMS6wSZYvXx4nnnhi3HDDDTFgwID45je/GS+//HKccMIJMXbs2NTzAAA26Pe//3288sorqWcAAGzQ5MmT49hjj41nnnkmTjvttPjRj34Ubdq0ieuuuy769evnoAUAqDp/+MMf4itf+UosWrQozj///PjWt74V77zzTpx77rnxn//5n6nnAQBs1Ne+9rWYO3du6hlAhrVMPQDIlksuuSRefPHFePDBB2PQoEEREXH++edHjx494owzzohZs2YlXggAsLbXX389fvKTn8SkSZPi2WefTT0HAGCjrrnmmli+fHk8/fTTcfDBB0dExH/8x39Ev3794vHHH48777wzTj755MQrAQD+4YorroguXbrE008/Hdtvv31ERPzgBz+ITp06xW9+85v493//98QLAQDW79prr42HHnoodtppp9RTgAzzMi6wSX7/+99H9+7d1xziRkTsuuuuMWDAgJg9e3Y8/fTTCdcBAHzc22+/HS+99FK0adMmDjvssNRzAAA2asKECXHwwQevOcT90JlnnhkRERMnTkwxCwBgnZYsWRLTp0+PQYMGrTnEjYjYY4894thjj42FCxfGypUrEy4EAFi/GTNmxAUXXBA/+9nPYvfdd089B8gwL+MCzTZ//vxYtGjRmn/x81H77bdfRHzwxyj27t270tMAANbrgAMOiD/96U8REfHKK69Ely5dEi8CAFi/lStXxoABA+Lwww//2Pdee+21iAivtAAAVaVly5YxduzY6Ny581pfX7JkSUybNi2OO+64aNWqVaJ1AADrt2LFivjSl74Un/jEJ+K8886L66+/PvUkIMMc4wLN9uKLL0ZErPOTQPvvv39ERPz973+v6CYAAACAPGnVqlVcffXVH/v63//+9/jNb34TrVq1iuOPPz7BMgCAddt2222jT58+a/7zlVdeGa+++mo88MADsXr16rjooosSrgMAWL/vf//7MXfu3Hj44Yejrq4u9Rwg4xzjAs32yiuvRMS6X1/p0KFDREQsXry4opsAAAAA8m7UqFHxta99LRobG+PKK6+MhoaG1JMAANbrkksuiWXLlkVERLdu3WLrrbdOvAgA4ONGjRoV11xzTdx1113rfJQOYFPVpx4AZMeWW24ZERELFy782PfefffdiIjYcccdK7oJAAAAIK9mzpwZJ554Ypxwwgmx/fbbxyOPPBLnnXde6lkAABv07rvvxksvvRQ33HBDLFiwIHr37h3z5s1LPQsAYI0333wzzjzzzPj6178en/vc51LPAXLCy7hAs+22224RETFr1qyPfe/DA9127dpVdBMAAABAHt14443xzW9+M+rq6uLnP/95nHfeeWs+KA0AUE0KhUIUCoWor//HO1BdunSJLl26RH19fZxxxhnx4IMPxllnnZVwJQDAP1x77bUxf/78WLJkSZx55plrvv7GG29EoVCIM888M/bbb7+46KKLEq4EssYxLtBs++23X9TV1a3zGPfZZ5+NiIjevXtXehYAAABArowaNSqGDh0aRx55ZPzxj3+MvffeO/UkAID1+q//+q+4+OKL44EHHojBgwev9b22bdtGRMRrr72WYhoAwDq1a9cuDj744Hj55ZfX+vp7770XTU1NMXXq1LU+aATQHI5xgWbbY4894uijj46xY8fGzJkzY5999omIiJUrV8bNN98c7du3j0MPPTTxSgAAAIBsu/jii6NNmzZxxx13xO677556DgDABjU0NERExKOPPvqxY9zrr78+IiJ69OhR8V0AAOtz7rnnxrnnnvuxrx966KGxfPny+Otf/5pgFZB1jnGBTXLxxRfHZz7zmTjllFPikksuiR133DF+9rOfxaxZs2LUqFFRV1eXeiIAAABAZi1atCimT58ehxxySFxxxRXr/Dmf/OQn4/jjj6/wMgCAdRs8eHA0NDTE1VdfHTvssEMMGDAg3njjjbj99tvj/vvvj8MOO0y7AAAAuecYF9gkxx13XIwcOTK+/vWvx0knnRQRETvssEP88pe/jEGDBiVeBwAAAJBt48ePj0KhEFOmTIkpU6as8+fU1dU5aAEAqkZ9fX3cc8898eUvfzmGDRsWw4YNW/O9z3/+8/HrX/86Wrb0r6UBAIB88/96gE32xS9+Mb7whS/E5MmTo6mpKXr37h0tWrRIPQsAYKP23XffKBQKqWcAAKzX8ccfr1cAgMzp3LlzjBs3LmbPnh0vvPBCbL311rH//vtH+/btU08DAGi2Z555JvUEIMMc4wJFadmyZRxxxBGpZwAAAAAAAFAF6uvrY5999ol99tkn9RQAAICKq089AAAAAAAAAAAAAACyyjEuAAAAAAAAAAAAABTJMS4AAAAAAAAAAAAAFMkxLgAAAAAAAAAAAAAUyTEuAAAAAAAAAAAAABTJMS4AAAAAAAAAAAAAFMkxLgAAAAAAAAAAAAAUyTEuAAAAAAAAAAAAABTJMS4AAAAAAAAAAAAAFMkxLgAAAAAAAAAAAAAUyTEuAAAAAAAAAAAAABTJMS4AAAAAAAAAAAAAFMkxLgAAAAAAAAAAAAAUqWXqAcCme/DBB6Ndu3apZ1SdmTNnpp4AAKyHflk3/QIA1Uu/rJt+AYDqpV/WTb8AQPXSL+umXyCbHONCBv3rv/5r6gkAAJtEvwAAWaNfAICs0S8AQNboFyBP6gqFQiH1CCCb3n333WhoaIiXXnopWrZ02w8AVD/9AgBkjX4BALJGvwAAWaNfgBJorE+9AMiu++67L2bPnh1jxoxJPQUAoFn0CwCQNfoFAMga/QIAZI1+AUrBMS5QtJEjR0ZExM0335x4CQBA8+gXACBr9AsAkDX6BQDIGv0ClEJdoVAopB4BZM+CBQtit912i1WrVsW2224b8+fPj6222ir1LACA9dIvAEDW6BcAIGv0CwCQNfoFKJFGL+MCRbnjjjviw1v+ZcuWxYMPPph4EQDAhukXACBr9AsAkDX6BQDIGv0ClIpjXKAoI0eOXBMjLVq0iBtvvDHxIgCADdMvAEDW6BcAIGv0CwCQNfoFKJW6woe/mwA009y5c2PPPfeMj/720apVq2hsbIw2bdokXAYAsG76BQDIGv0CAGSNfgEAska/ACXU6GVcYJPdfPPN0aJFi7W+tnr16rj33nsTLQIA2DD9AgBkjX4BALJGvwAAWaNfgFJyjAtssj/84Q+xevXqj3195MiRCdYAAGycfgEAska/AABZo18AgKzRL0Ap1RU++s42wEa8+OKL0bVr13V+r0WLFvHGG2/ErrvuWuFVAADrp18AgKzRLwBA1ugXACBr9AtQYo1exgU2yR//+Mdo1arVer9/xx13VHANAMDG6RcAIGv0CwCQNfoFAMga/QKUmpdxgU3SuXPnmD179jq/V1dXF4cddlg8/fTTFV4FALB++gUAyBr9AgBkjX4BALJGvwAl5mVcoPkmT5683hCJiCgUCjFp0qSYM2dO5UYBAGyAfgEAska/AABZo18AgKzRL0A5OMYFmu2WW26Jli1bbvDn1NfXxy233FKhRQAAG6ZfAICs0S8AQNboFwAga/QLUA51hUKhkHoEUP2amppir732irlz527053bv3j2effbZCqwCAFg//QIAZI1+AQCyRr8AAFmjX4AyadzwiT/A/1u1alXcd999a33t+eefj6FDh8Z9990Xe+yxx1rfKxQKUVdXV8mJAABr0S8AQNboFwAga/QLAJA1+gUoF8e4QLNsscUWceihh671taampoiIOOigg6JTp04pZgEArJd+AQCyRr8AAFmjXwCArNEvQLnUpx4AAAAAAAAAAAAAAFnlGBcAAAAAAAAAAAAAiuQYFwAAAAAAAAAAAACK5BgXAAAAAAAAAAAAAIrkGBcAAAAAAAAAAAAAiuQYFwAAAAAAAAAAAACK5BgXAAAAAAAAAAAAAIrkGBcAAAAAAAAAAAAAiuQYFwAAAAAAAAAAAACK5BgXAAAAAAAAAAAAAIrkGBcAAAAAAAAAAAAAiuQYFwAAAAAAAAAAAACK5BgXAAAAAAAAAAAAAIrkGBcAAAAAAAAAAAAAiuQYFwAAAAAAAAAAAACK5BgXAAAAAAAAAAAAAIrkGBcAAAAAAAAAAAAAiuQYFwAAAAAAAAAAAACK5BgXAAAAAAAAAAAAAIrkGBcAAAAAAAAAAAAAiuQYFwAAAAAAAAAAAACK5BgXAAAAAAAAAAAAAIrkGBcAAAAAAAAAAAAAiuQYFwAAAAAAAAAAAACK5BgXAAAAAAAAAAAAAIrkGBcAAAAAAAAAAAAAiuQYFwAAAAAAAAAAAACK5BgXAAAAAAAAAAAAAIrkGBcAAAAAAAAAAAAAitQy9QCgui1evDgaGxtj6dKlERHx7rvvxvvvvx8RETNmzIiGhoZ44oknokOHDhERsdVWW8XWW28dERE77rhjtG3bNrbffvs04wGAmqRfAICs0S8AQNboFwAga/QLUG51hUKhkHoEUHlLly6NOXPmxJw5c2L27NkxZ86cePXVV2P+/PmxYMGCNT9WrVq12f9drVq1ip133nnNj1122SU6dOgQHTt2jI4dO0anTp2iU6dOsc0225TgfxkAkFf6BQDIGv0CAGSNfgEAska/AFWi0TEu5NzSpUvjueeei+eeey6effbZeO655+KFF16IBQsWrPk5u+66a3Ts2DE6dOgQu+yyS7Rt23ZNOLRt2zbatWu35tM92223XbRq1SoiInbYYYeoq6uL1atXr/nk0HvvvRfLli2LiIhFixbF/PnzPxY48+bNi1dffTXmzJkT8+fPX7Njl112iQMPPDAaGhqioaEhevToEd26dYttt922Un+5AIAqoF8AgKzRLwBA1ugXACBr9AtQ5RzjQp6sXLkypkyZEhMmTIjx48fHlClTYs6cOVEoFKJNmzZr/iHfrVu3tT6R8+Gz+im88847az6ZNHPmzHj++edj2rRpMWPGjHjnnXeivr4+OnfuHIcddlgcddRR0adPn+jevXu0aNEi2WYAoHT0CwCQNfoFAMga/QIAZI1+ATLIMS5k2fLly2Ps2LExduzYGDduXEyePDmWLVsW7dq1iyOPPDIOP/zw6N69ezQ0NETHjh1Tz90kTU1NMXv27DWfZpo4cWJMmDAhFi9eHK1bt44jjjgijjrqqDjmmGOib9++az6tBABUN/2iXwAga/SLfgGArNEv+gUAska/6BfIAce4kDUvv/xyjB49Oh566KF48sknY/ny5XHAAQfEkUceGX379o2jjjoq9t9//9Qzy6KpqSmef/75GD9+/Jofs2bNitatW8enP/3pGDhwYAwaNCj23nvv1FMBgI/QL/oFALJGv+gXAMga/aJfACBr9It+gZxxjAvVrlAoxJ///Oe47bbbYtSoUTFz5szYYYcdol+/fjFw4MAYOHBgtG/fPvXMZGbPnr0mzp544ol4991348ADD4wTTjghTjnllOjZs2fqiQBQc/TLhukXAKg++mXD9AsAVB/9smH6BQCqj37ZMP0CmecYF6pRoVCIiRMnxm233Ra33357vPbaa3HAAQfEkCFDYtCgQXHkkUdGy5YtU8+sOu+991489dRTMXr06Lj77rtj9uzZse+++8app54ap5xySnTv3j31RADILf1SHP0CAOnol+LoFwBIR78UR78AQDr6pTj6BTLJMS5Uk1mzZsUNN9wQN910U8yZMye6dOkSp5xyin+QFumjQfe///u/0bVr1/jyl78cZ555Zuyxxx6p5wFALuiX0tIvAFB++qW09AsAlJ9+KS39AgDlp19KS79AJjjGhdTef//9uPfee+P666+Pxx9/PHbbbbf4yle+EqeeemoccsghqeflQqFQiL/85S9x6623xk033RSLFy+OwYMHx9lnnx2DBg2KFi1apJ4IAJmiX8pPvwBAaemX8tMvAFBa+qX89AsAlJZ+KT/9AlXNMS6kMmvWrLj22mtjxIgRsXDhwhg0aFCcffbZMXjwYE/wl9F7770Xd999dwwfPjyeeOKJaN++fZx11lnxjW98w6eFAGAj9Esa+gUAiqdf0tAvAFA8/ZKGfgGA4umXNPQLVB3HuFBpTz/9dFxxxRVx1113Rfv27eNrX/tanHXWWbHnnnumnlZzZs6cGcOHD4/f//73sXDhwjjttNPie9/7XjQ0NKSeBgBVRb9UD/0CAM2jX6qHfgGA5tEv1UO/AEDz6JfqoV+gKjjGhUpoamqKBx54IH7961/HY489Foccckh85zvfidNOO82ngKrA+++/H7fccktcfvnlMX369OjTp0/84Ac/iOOPPz7q6upSzwOAJPRLddMvAPBx+qW66RcA+Dj9Ut30CwB8nH6pbvoFkmqsT70A8qypqSluuummOOCAA2LIkCGx9dZbx5NPPhlTpkyJoUOHCpEqscUWW8TQoUNj2rRp8cADD8SWW24ZJ554YvTs2TPuu+++8JkFAGqJfskG/QIA/6BfskG/AMA/6Jds0C8A8A/6JRv0C6TlGBfKoFAoxO233x4NDQ3x1a9+NY444oiYMWNG3HfffXHMMceknsd61NXVxeDBg+Pxxx+PZ555Jjp16hRDhgyJ3r17x0MPPZR6HgCUlX7JJv0CQC3TL9mkXwCoZfolm/QLALVMv2STfoE0HONCiT322GPRq1evOPXUU6Nbt24xffr0GDFiRHTt2jX1NDZBz54946677opnn302OnbsGIMHD44jjzwy7r///tTTAKDk9Es+6BcAaol+yQf9AkAt0S/5oF8AqCX6JR/0C1SOY1wokSlTpsTRRx8d/fv3j5122imeeeaZuO2220RIxjU0NMRtt90Wf/7zn6Nt27Zx4oknRv/+/WP69OmppwHAZtMv+aRfAMgz/ZJP+gWAPNMv+aRfAMgz/ZJP+gXKzzEubKY333wzzjrrrDjssMOiqakpJk2aFI8++mgccsghqadRQr179477778/nnjiiWhsbIyePXvGd77znVi0aFHqaQCwyfRLbdAvAOSJfqkN+gWAPNEvtUG/AJAn+qU26BcoH8e4UKT3338/rrrqqujatWs88sgj8bvf/S6eeuqp6NWrV+pplNGnPvWpmDJlSgwfPjxuueWW2HfffeOqq66KVatWpZ4GABulX2qTfgEgy/RLbdIvAGSZfqlN+gWALNMvtUm/QOnVFQqFQuoRkDVPPvlknHPOOTF37ty48MIL4/vf/35svfXWqWdRYUuWLIlLL700rr766ujWrVsMHz48evbsmXoWAKyTfiFCvwCQLfqFCP0CQLboFyL0CwDZol+I0C9QIo1exoVNsHjx4jjnnHPi2GOPja5du8bf/va3+PGPfyxEalSbNm3iF7/4RUybNi1at24dvXv3jgsvvDCWL1+eehoArKFf+Cj9AkAW6Bc+Sr8AkAX6hY/SLwBkgX7ho/QLlIaXcaGZ7r///vjWt74VK1eujJ///OcxdOjQ1JOoIoVCIUaOHBnf/e53Y4cddojf/va30b9//9SzAKhx+oUN0S8AVCP9woboFwCqkX5hQ/QLANVIv7Ah+gWK5mVc2JgFCxbEySefHJ/97GejX79+8fzzzwsRPqauri6GDh0azz33XPTo0SMGDBgQ55xzTrzzzjuppwFQg/QLzaFfAKgm+oXm0C8AVBP9QnPoFwCqiX6hOfQLFM/LuLABjz32WHz1q1+NFi1axA033BD9+vVLPYmMuPPOO+Nf/uVfYscdd4wbb7wxDj/88NSTAKgR+oVi6RcAUtEvFEu/AJCKfqFY+gWAVPQLxdIv0GxexoV1WblyZQwbNiwGDBgQRx55ZEydOlWIsElOOumkmDFjRuy3337Rp0+fGDZsWKxevTr1LAByTL+wufQLAJWmX9hc+gWAStMvbC79AkCl6Rc2l36B5vMyLvyTGTNmxOmnnx6zZs2Kq6++Or761a+mnkSGFQqFuPLKK+Oiiy6Kww8/PEaOHBkdOnRIPQuAnNEvlJJ+AaAS9AulpF8AqAT9QinpFwAqQb9QSvoFNsrLuPBRN998c/Tu3Tu22WabmDp1qhBhs9XV1cV3v/vdmDhxYixcuDB69uwZDz/8cOpZAOSIfqHU9AsA5aZfKDX9AkC56RdKTb8AUG76hVLTL7BxjnEhIlatWhU//OEP4/TTT4/TTz89/vSnP0Xnzp1TzyJHunfvHpMnT44hQ4bEoEGD4oc//GE0NTWlngVAhukXyk2/AFBq+oVy0y8AlJp+odz0CwClpl8oN/0C61dXKBQKqUdASo2NjfHFL34xJkyYENdee22cccYZqSeRc9ddd12ce+650b9//7jxxhtjhx12SD0JgIzRL1SafgFgc+kXKk2/ALC59AuVpl8A2Fz6hUrTL7CWRse41LS//OUvcdJJJ8U222wTd911VzQ0NKSeRI0YN25cnHLKKdG6deu455574oADDkg9CYCM0C+kol8AKJZ+IRX9AkCx9Aup6BcAiqVfSEW/wBqN9akXQCp33HFHHHvssXHwwQfHpEmThAgV1bdv35g8eXLsvPPOcdRRR8WYMWNSTwIgA/QLKekXAIqhX0hJvwBQDP1CSvoFgGLoF1LSL/APjnGpSVdddVWceuqp8eUvfznuvfdez6STxB577BFjxoyJwYMHx3HHHRfXXXdd6kkAVDH9QjXQLwBsCv1CNdAvAGwK/UI10C8AbAr9QjXQL/CBFsOGDRuWegRUyurVq+O8886Lyy67LH784x/HFVdcEfX1btJJp2XLlvH5z38+mpqa4t/+7d9i0aJFMXDgwKirq0s9DYAqoV+oNvoFgI3RL1Qb/QLAxugXqo1+AWBj9AvVRr9ALGuZegFUyrJly+KUU06JMWPGxJ133hmf+9znUk+CiIioq6uLYcOGxR577BHf/va3Y/HixTF8+PBo1apV6mkAJKZfqFb6BYD10S9UK/0CwProF6qVfgFgffQL1Uq/UOsc41ITli5dGscff3y88MIL8cQTT0Tv3r1TT4KPOeecc6JDhw7xhS98IZYsWRK33nprbLnllqlnAZCIfiEL9AsAH6VfyAL9AsBH6ReyQL8A8FH6hSzQL9SqukKhUEg9Aspp0aJFMXjw4JgzZ0488sgj0dDQkHoSbNCkSZNi4MCB0b1797j//vtju+22Sz0JgArTL2SNfgFAv5A1+gUA/ULW6BcA9AtZo1+oMY2Occm1t956K4477rhYvHhxPPbYY9GlS5fUk6BZ/vrXv8aAAQNi//33j1GjRkWbNm1STwKgQvQLWaVfAGqXfiGr9AtA7dIvZJV+Aahd+oWs0i/UEMe45Nfrr78e/fr1i6ampnjsscdi7733Tj0JNsnzzz8f/fr1i/bt28fDDz8cO+20U+pJAJSZfiHr9AtA7dEvZJ1+Aag9+oWs0y8AtUe/kHX6hRrhGJd8mjdvXhxzzDHRqlWrePTRR2P33XdPPQmK8sorr0S/fv2ibdu28fjjj/uEEECO6RfyQr8A1A79Ql7oF4DaoV/IC/0CUDv0C3mhX6gBjnHJn8WLF8exxx4bb7/9dowdO1aIkHkzZ86Mo48+Ojp06BCPPPJIbLfddqknAVBi+oW80S8A+adfyBv9ApB/+oW80S8A+adfyBv9Qs411qdeAKW0dOnS6N+/f8yfP98ngsiNffbZJ8aMGROzZs2KIUOGxIoVK1JPAqCE9At5pF8A8k2/kEf6BSDf9At5pF8A8k2/kEf6hbxzjEtuLFu2LE444YR47bXX4tFHH42OHTumngQls99++8XDDz8cf/3rX+PUU0+NlStXpp4EQAnoF/JMvwDkk34hz/QLQD7pF/JMvwDkk34hz/QLeeYYl1xYuXJlfO5zn4u//e1vMWbMmNh///1TT4KS69GjR4waNSqeeOKJOOuss6JQKKSeBMBm0C/UAv0CkC/6hVqgXwDyRb9QC/QLQL7oF2qBfiGvWgwbNmxY6hGwub7xjW/EQw89FI899lh079499Rwom7322it69eoVl1xySSC+Z40AACAASURBVKxatSo+9alPpZ4EQJH0C7VCvwDkh36hVugXgPzQL9QK/QKQH/qFWqFfyKFljnHJvJ/+9Kdx5ZVXxq233uo3ZmrCPvvsE+3bt48LLrggdtttt+jVq1fqSQBsIv1CrdEvANmnX6g1+gUg+/QLtUa/AGSffqHW6BdyxjEu2XbbbbfFt7/97bjyyitj6NChqedAxRxyyCGxcuXK+NGPfhRHHHFE7LPPPqknAdBM+oVapV8Asku/UKv0C0B26RdqlX4ByC79Qq3SL+TIsrpCoVBIvQKK8dRTT0X//v3jW9/6Vvzyl79MPQcqrlAoxOmnnx4PPvhgjBs3Lg466KDUkwDYCP1CrdMvANmjX6h1+gUge/QLtU6/AGSPfqHW6RdyotExLpn02muvRa9eveKoo46KO++8M+rr61NPgiTee++96NevX7z55psxadKk2HHHHVNPAmA99At8QL8AZId+gQ/oF4Ds0C/wAf0CkB36BT6gX8gBx7hkz3vvvRdHH310LFmyJCZOnBjbb7996kmQ1FtvvRW9evWKAw44IEaPHh0tWrRIPQmAf6JfYG36BaD66RdYm34BqH76BdamXwCqn36BtekXMq7RxynInHPPPTf+9re/xV133SVEICJ23XXXuOOOO2Ls2LFx2WWXpZ4DwDroF1ibfgGofvoF1qZfAKqffoG16ReA6qdfYG36haxrMWzYsGGpR0BzjRw5Mn784x/HTTfdFMccc0zqOVA19txzz9h5553jBz/4QfTq1Sv222+/1JMA+H/6BdZNvwBUL/0C66ZfAKqXfoF10y8A1Uu/wLrpFzJsWV2hUCikXgHN8cwzz0Tfvn3je9/7Xvz0pz9NPQeq0hlnnBH33XdfTJ48OTp37px6DkDN0y+wcfoFoLroF9g4/QJQXfQLbJx+Aagu+gU2Tr+QQY2OccmEd999N3r27Bl77bVXPPzww9GiRYvUk6AqLV++PI444ojYdtttY+zYsdGyZcvUkwBqln6B5tEvANVDv0Dz6BeA6qFfoHn0C0D10C/QPPqFDGqsT70AmuM73/lONDY2xu9+9zshAhuw9dZbxx//+MeYOnVqXHbZZannANQ0/QLNo18Aqod+gebRLwDVQ79A8+gXgOqhX6B59AtZ1GLYsGHDUo+ADbn33nvjwgsvjBEjRsRRRx2Veg5UvXbt2kWbNm3ioosuik9+8pPRsWPH1JMAao5+gU2jXwDS0y+wafQLQHr6BTaNfgFIT7/AptEvZMyyukKhUEi9Atbnrbfeih49esQJJ5wQ119/feo5kBmFQiE++9nPxvTp02Pq1Kmx/fbbp54EUDP0CxRHvwCko1+gOPoFIB39AsXRLwDp6Bcojn4hQxod41K1CoVCDBo0KGbNmhVTpkyJ7bbbLvUkyJS///3v0b179xgwYECMGDEi9RyAmqBfYPPoF4DK0y+wefQLQOXpF9g8+gWg8vQLbB79QkY01qdeAOvzu9/9Lh577LEYOXKkEIEi7LLLLjF8+PD4wx/+EKNHj049B6Am6BfYPPoFoPL0C2we/QJQefoFNo9+Aag8/QKbR7+QFV7GpSrNmzcvDjzwwDjzzDPjiiuuSD0HMu20006L8ePHx/Tp06N169ap5wDkln6B0tEvAJWhX6B09AtAZegXKB39AlAZ+gVKR79Q5Rod41KVTj755Jg0aVJMnz7dp4JgM82fPz8OPPDA+NKXvhRXXXVV6jkAuaVfoHT0C0Bl6BcoHf0CUBn6BUpHvwBUhn6B0tEvVLnG+tQL4J+NGjUq7rjjjrjuuuuECJRA27Zt4/LLL49rrrkmxo8fn3oOQC7pFygt/QJQfvoFSku/AJSffoHS0i8A5adfoLT0C9XOy7hUlSVLlkS3bt3i05/+dIwYMSL1HMiNQqEQAwYMiLlz58aUKVNiiy22SD0JIDf0C5SHfgEoH/0C5aFfAMpHv0B56BeA8tEvUB76hSrmZVyqy6WXXhorVqyIX/7yl6mnQK7U1dXFb3/725g5c2Zcc801qecA5Ip+gfLQLwDlo1+gPPQLQPnoFygP/QJQPvoFykO/UM0c41I1PvxN8tJLL42dd9459RzInc6dO8cFF1wQP/nJT2LevHmp5wDkgn6B8tIvAKWnX6C89AtA6ekXKC/9AlB6+gXKS79QreoKhUIh9QiIiDjhhBNi1qxZ8eyzz0bLli1Tz4FcWrZsWRxwwAExcODA+J//+Z/UcwAyT79A+ekXgNLSL1B++gWgtPQLlJ9+ASgt/QLlp1+oQo1exqUqPP744zFq1Kj41a9+JUSgjLbZZpu47LLLYvjw4fHMM8+kngOQafoFKkO/AJSOfoHK0C8ApaNfoDL0C0Dp6BeoDP1CNfIyLsmtXr06DjnkkOjcuXPcc889qedA7hUKhfjEJz4RERFPPfVU1NXVJV4EkD36BSpLvwBsPv0ClaVfADaffoHK0i8Am0+/QGXpF6qMl3FJ74YbbogXX3wxLr/88tRToCbU1dXFL37xi5gwYUKMGjUq9RyATNIvUFn6BWDz6ReoLP0CsPn0C1SWfgHYfPoFKku/UG28jEtS77//fnTt2jUGDBgQ1157beo5UFOGDBkSs2bNiqlTp0Z9vc9mADSXfoF09AtAcfQLpKNfAIqjXyAd/QJQHP0C6egXqoSXcUnr+uuvjzfffDMuvvji1FOg5lx22WUxY8YMfzwGwCbSL5COfgEojn6BdPQLQHH0C6SjXwCKo18gHf1CtfAyLsmsWLEiunTpEieddFJceeWVqedATTr11FNjxowZMW3aNJ8OAmgG/QLp6ReATaNfID39ArBp9Aukp18ANo1+gfT0C1XAy7ik89///d+xYMGCuPDCC1NPgZp16aWXxosvvhi33npr6ikAmaBfID39ArBp9Aukp18ANo1+gfT0C8Cm0S+Qnn6hGngZlySWLVsWnTp1iqFDh8bll1+eeg7UtKFDh8bEiRPj+eef9+kggA3QL1A99AtA8+gXqB76BaB59AtUD/0C0Dz6BaqHfiExL+OSxogRI+Ltt9+O73//+6mnQM275JJL4uWXX45777039RSAqqZfoHroF4Dm0S9QPfQLQPPoF6ge+gWgefQLVA/9QmpexqXimpqaomvXrnHsscfGb3/729RzgIgYMmRINDY2xvjx41NPAahK+gWqj34B2DD9AtVHvwBsmH6B6qNfADZMv0D10S8k5GVcKu/ee++NV155Jc4///zUU4D/d8EFF8SECRPiz3/+c+opAFVJv0D10S8AG6ZfoProF4AN0y9QffQLwIbpF6g++oWUvIxLxfXt2zfatm0b99xzT+opwEcceeSR0b59+7jjjjtSTwGoOvoFqpN+AVg//QLVSb8ArJ9+geqkXwDWT79AddIvJNLYMvUCasukSZNi/PjxMXbs2NRTgH/y3e9+N0477bR45ZVXYt999009B6Bq6BeoXvoFYN30C1Qv/QKwbvoFqpd+AVg3/QLVS7+QipdxqagPf6ObOHFi6inAP1m9enV06dIlPvvZz8avfvWr1HMAqoZ+geqlXwDWTb9A9dIvAOumX6B66ReAddMvUL30C4k01qdeQO1YsGBB3H333fHNb34z9RRgHVq0aBFf//rXY+TIkbFixYrUcwCqgn6B6qZfAD5Ov0B10y8AH6dfoLrpF4CP0y9Q3fQLqTjGpWJGjBgRrVq1ipNPPjn1FGA9zjrrrFi6dGncfffdqacAVAX9AtVPvwCsTb9A9dMvAGvTL1D99AvA2vQLVD/9Qgp1hUKhkHoEtaFbt25x9NFHx7XXXpt6CrABQ4YMibfffjsef/zx1FMAktMvkA36BeAf9Atkg34B+Af9AtmgXwD+Qb9ANugXKqzRy7hUxLhx4+L555+Ps88+O/UUYCPOPvvsGDNmTLz88suppwAkpV8gO/QLwAf0C2SHfgH4gH6B7NAvAB/QL5Ad+oVKc4xLRVx//fXRo0eP6NmzZ+opwEYMGjQo9tprr7jhhhtSTwFISr9AdugXgA/oF8gO/QLwAf0C2aFfAD6gXyA79AuV5hiXslu2bFnceeedcc4556SeAjRDfX19DB06NG688cZoampKPQcgCf0C2aJfAPQLZI1+AdAvkDX6BUC/QNboFyrNMS5lN2rUqFixYkV84QtfSD0FaKZTTz01Xn/99ZgwYULqKQBJ6BfIHv0C1Dr9AtmjX4Bap18ge/QLUOv0C2SPfqGSHONSdrfddlt86lOfil122SX1FKCZDjrooOjWrVvcdtttqacAJKFfIHv0C1Dr9Atkj34Bap1+gezRL0Ct0y+QPfqFSnKMS1m9++678dBDD8Upp5ySegqwiU4++eS4/fbbY/Xq1amnAFSUfoHs0i9ArdIvkF36BahV+gWyS78AtUq/QHbpFyrFMS5lde+998Z7770XQ4YMST0F2ERf/OIXY968efHUU0+lngJQUfoFsku/ALVKv0B26RegVukXyC79AtQq/QLZpV+oFMe4lNXtt98en/70p6Ndu3appwCbaP/994/u3bt7qh+oOfoFsku/ALVKv0B26RegVukXyC79AtQq/QLZpV+oFMe4lM2KFSvikUceiZNOOin1FKBIn//85+P+++9PPQOgYvQLZJ9+AWqNfoHs0y9ArdEvkH36Bag1+gWyT79QCY5xKZuxY8fGsmXLYsCAAamnAEUaNGhQvP766zF9+vTUUwAqQr9A9ukXoNboF8g+/QLUGv0C2adfgFqjXyD79AuV4BiXshk9enQcdNBBsffee6eeAhSpV69escsuu8To0aNTTwGoCP0C2adfgFqjXyD79AtQa/QLZJ9+AWqNfoHs0y9UgmNcymb06NExaNCg1DOAzVBfXx/9+/ePhx56KPUUgIrQL5B9+gWoNfoFsk+/ALVGv0D26Reg1ugXyD79QiU4xqUs5syZEy+++KIYgRwYOHBgjBs3Lt5+++3UUwDKSr9AfugXoFboF8gP/QLUCv0C+aFfgFqhXyA/9Avl5hiXshg9enS0bt06+vTpk3oKsJkGDBgQq1atiieeeCL1FICy0i+QH/oFqBX6BfJDvwC1Qr9AfugXoFboF8gP/UK5OcalLJ588sk4+uijY4sttkg9BdhM7dq1i4MPPjiefPLJ1FMAykq/QH7oF6BW6BfID/0C1Ar9AvmhX4BaoV8gP/QL5eYYl7KYMGFC9O3bN/UMoET69OkT48aNSz0DoKz0C+SLfgFqgX6BfNEvQC3QL5Av+gWoBfoF8kW/UE6OcSm5OXPmxOuvv+6JfsiRPn36xNSpU+Odd95JPQWgLPQL5I9+AfJOv0D+6Bcg7/QL5I9+AfJOv0D+6BfKyTEuJTd+/Pho1apVHHrooamnACXSt2/fWLVqVUycODH1FICy0C+QP/oFyDv9AvmjX4C80y+QP/oFyDv9AvmjXygnx7iU3IQJE+LQQw+NbbbZJvUUoETat28fHTp0iPHjx6eeAlAW+gXyR78AeadfIH/0C5B3+gXyR78AeadfIH/0C+XkGJeSGz9+vCf6IYf69OkjRoDc0i+QT/oFyDP9AvmkX4A80y+QT/oFyDP9AvmkXygXx7iU1IoVK2LGjBlx+OGHp54ClNgRRxwRkyZNSj0DoOT0C+SXfgHySr9AfukXIK/0C+SXfgHySr9AfukXysUxLiU1ffr0WLVqVfTo0SP1FKDEunfvHgsXLow33ngj9RSAktIvkF/6Bcgr/QL5pV+AvNIvkF/6Bcgr/QL5pV8oF8e4lNS0adNi6623jn333Tf1FKDEunfvHhEf/DoHyBP9AvmlX4C80i+QX/oFyCv9AvmlX4C80i+QX/qFcnGMS0k999xzcdBBB0WLFi1STwFKbMcdd4w999wznnvuudRTAEpKv0B+6Rcgr/QL5Jd+AfJKv0B+6Rcgr/QL5Jd+oVwc41JS06ZNW/PpASB/GhoaxAiQO/oF8k2/AHmkXyDf9AuQR/oF8k2/AHmkXyDf9Avl4BiXknruueeioaEh9QygTBoaGjzTD+SOfoF80y9AHukXyDf9AuSRfoF80y9AHukXyDf9Qjk4xqVkGhsbo7GxMbp165Z6ClAmBx10ULzwwguxevXq1FMASkK/QP7pFyBv9Avkn34B8ka/QP7pFyBv9Avkn36hHBzjUjKzZ8+OiIjOnTsnXgKUS+fOneP999+PuXPnpp4CUBL6BfJPvwB5o18g//QLkDf6BfJPvwB5o18g//QL5eAYl5KZPXt2tGjRIvbaa6/UU4Ay6dSpU0REzJkzJ+0QgBLRL5B/+gXIG/0C+adfgLzRL5B/+gXIG/0C+adfKAfHuJTMnDlzYs8994xWrVqlngKUye677x5bbbXVmk8CAmSdfoH80y9A3ugXyD/9AuSNfoH80y9A3ugXyD/9Qjk4xqVk5syZEx07dkw9Ayijurq62HvvvcUIkBv6BfJPvwB5o18g//QLkDf6BfJPvwB5o18g//QL5eAYl5KZM2fOmie8gfzq1KmTZ/qB3NAvUBv0C5An+gVqg34B8kS/QG3QL0Ce6BeoDfqFUnOMS8m8+uqr0aFDh9QzgDITI0Ce6BeoDfoFyBP9ArVBvwB5ol+gNugXIE/0C9QG/UKpOcalZObNmxe77bZb6hlAme26667x1ltvpZ4BUBL6BWqDfgHyRL9AbdAvQJ7oF6gN+gXIE/0CtUG/UGqOcSmJ1atXx5IlS6Jt27appwBl1rZt21iwYEHqGQCbTb9A7dAvQF7oF6gd+gXIC/0CtUO/AHmhX6B26BdKzTEuJbFw4cJoamqKnXfeOfUUoMx23nnnWLhwYRQKhdRTADaLfoHaoV+AvNAvUDv0C5AX+gVqh34B8kK/QO3QL5SaY1xK4sNPCfhkEORf27ZtY9WqVbFkyZLUUwA2i36B2qFfgLzQL1A79AuQF/oFaod+AfJCv0Dt0C+UmmNcSmL+/PkRIUagFnz46/zDX/cAWaVfoHboFyAv9AvUDv0C5IV+gdqhX4C80C9QO/QLpeYYl5L48JNBO+20U+IlQLl9+MdxfPjrHiCr9AvUDv0C5IV+gdqhX4C80C9QO/QLkBf6BWqHfqHUHONSEm+//XZstdVWseWWW6aeApRZmzZtIiJi6dKliZcAbB79Av/H3p1HV1Uebht+MgKGCGEGQRIH5klkMkGwiAIFsaDgXKgyiFa01hGtTQsWtaJCpYWqoDKICAJWQWaVUcIMosgsikAYAj8gkGl/f1jymUIkyRnevd99X2uxlpxscp5whNyu9Z6tf9AvAGxBvwD+Qb8AsAX9AvgH/QLAFvQL4B/0C4KNw7gIijNnzhAiQCGWL1+uYcOG6cCBA6anBEVsbKykn/7cA4CX0S9A4egXAHAn+gUoHP0CAO5EvwCFo18AwJ3oF6Bw9AvwyziMi6A4c+ZM/l9QAApasmSJ/vSnP+nHH380PSUozv6HR1ZWluElABAY+gUoHP0CAO5EvwCFo18AwJ3oF6Bw9AsAuBP9AhSOfgF+GYdxERRZWVnECOATkZGRio6O5p1BADyPfgH8g34BYAv6BfAP+gWALegXwD/oFwC2oF8A/6BfEGwcxkVQeOWdQf3791efPn20fft29evXT7Vq1VKHDh00ceJESdIrr7yiq6++WlWqVFGXLl20bdu2cz5HRkaGHnjgATVq1EjVqlVTz549NXv27HOu++yzz/Tggw+qTp06qlWrlu644w6NGTNGubm5Bfb8/ve/1759+3TnnXeqdu3auvzyy3Xvvffq5MmTJfoai/K8krRx40b17NlTSUlJuvnmm/XOO+9owYIF6tWrlw4fPlzs69y0Z/Dgwbrvvvv0/fff68EHH1TlypXzf31RX7+i7rnQ1zdgwACNGTNGknTvvfdq8ODBxd7iRrGxscQIAM+jX+gXN+2hX0KPfgFgA/qFfnHTHvol9OgXADagX+gXN+2hX0KPfgFgA/qFfnHTHvol9OgXBJUDBMFf//pXp27duqZnXFCLFi2catWqOTVq1HAaNGjg3HPPPU5sbKwTERHhdOnSxYmOjna6d+/u9OjRw4mNjXUuvfRSJzc3N//X792710lMTHTi4uKcQYMGOU899ZRz1VVXOZGRkc6rr76af92iRYucqKgop0KFCs7vf/97JzU11UlJSXEkOY8//niBPYmJic4ll1zitG3b1nniiSec9u3bO5Kcnj17FvvrK+rzfv75585FF13kVKpUybn77rudPn36OGXLlnXq1avnSHK+++67Yl3ntj3t27d36tat6zRp0sSR5DRv3rxYr19Rn6coX9/f//5355prrnEkObfddpszcuTIYm1xq4SEBGfs2LGmZwBAQOgX+sVNe+iX0KNfANiAfqFf3LSHfgk9+gWADegX+sVNe+iX0KNfANiAfqFf3LSHfgk9+gVBdJDDuAiKP/3pT06jRo1Mz7igFi1aOJKcYcOG5T82e/ZsR5JTpkwZZ+vWrfmP9+nTx5FU4LG77rrLkeSsXLky/7EzZ844HTp0cGJjY53Dhw87juM4/fv3d0qVKuUcPXo0/7rMzEynevXqTr169c7Z8+STTzp5eXmO4zhObm6u07x5c6dcuXLF/vqK8ry5ublO06ZNnYSEBGf37t35123cuNGJjY3N/2Zb1OvcuOds0HXq1Mn5+uuv868tyutXnOcp6uv8wgsvOJKcdevWFWuLm1WtWtUZNWqU6RkAEBD6hX5x0x76JfToFwA2oF/oFzftoV9Cj34BYAP6hX5x0x76JfToFwA2oF/oFzftoV9Cj35BEB2MFBAEUVFR59x23a2ioqL0+OOP5/+8adOmkqQOHTqoTp06+Y9fd911kqQtW7ZIko4cOaLJkyerZcuWat26df51sbGx6t+/v7KysvThhx9Kkh599FGlpaWpfPny+ddlZWWpfPnyOn78eIE9ZcqUUWpqqiIiIiRJkZGRSklJ0bFjx/T9998X62sryvOuW7dOGzZs0MCBA1W7du386xo3bqzbbrst/+dFvS4vL08nT54s8OPsvwsm9vzc0KFDVa9ePUlFf/2K8zzFeZ1/rjj/LrlVTk6OYmJiTM8AgIDQL/QL/XL+r+986BcAcAf6hX6hX87/9Z0P/QIA7kC/0C/0y/m/vvOhXwDAHegX+oV+Of/Xdz70C1BQtOkBsEOpUqWUlZVlekaR1KhRQ7Gxsfk/L126dP7jPxcVFSVJ+V/X1q1b5TiOTpw4cc43pbPfeHbs2CFJqlevng4fPqwRI0ZoxYoV2r17t7Zt26bjx4+f8zxVqlTJ33BWQkKCJOnEiRPF+tqK8rxnN9atW/ecX9+wYcP8fy7qdV9++aWSk5MLfHzy5Mm64447jOw5q3LlymrZsmX+z4v6+l188cVFfp7ivM4/V5x/l9zqzJkzBf4cAYAX0S/0y8/RL/QLAHgB/UK//Bz9Qr8AgBfQL/TLz9Ev9AsAeAH9Qr/8HP1CvwDFwZ1xERSxsbGeiZG4uLjzPh4Z+ct/HA4fPizpp/CKiYkp8KNixYq666678r9Z/f3vf1fNmjU1dOhQZWdnq2PHjnr77beVkpJyzuctU6ZMoc/pOE5Rv6wiP+/Ro0clSRUrVjzn1//83V1Fva5SpUq66667CvxITEw0tuesUqVKFfh5UV+/4jxPcV7nkmxxs6ysrHN+jwHAa+gX+oV+oV8AwGvoF/qFfqFfAMBr6Bf6hX6hXwDAa+gX+oV+oV+AkuLOuAgKL70zqKQuu+wySdKVV16piRMnFvhYbm6u/u///k8XXXSR0tPT9dRTT6ly5cratm2b4uPj8697/vnnQ7avqM97NhSWLVumm266qcDnWLduXbGvO9/vh8k9hSnq67d48eIiPU8gr3NRt7iV4zjKzs4mRgB4Hv1Cv7hlT2Hol+ChXwDYgn6hX9yypzD0S/DQLwBsQb/QL27ZUxj6JXjoFwC2oF/oF7fsKQz9Ejz0C4KNO+MiKGJjY3XmzBnTM0LqiiuuUOXKlTV37lxlZ2cX+Njw4cOVkJCgVatWac+ePcrLy1PPnj0LfIPau3ev1q9fH7J9RX3eRo0aKTo6WvPnzy/w63fu3KkFCxYU+zqv7Cnq61fU5wnkdS7qFrfKysqS4zjECADPo1/oF7fvoV+Ch34BYAv6hX5x+x76JXjoFwC2oF/oF7fvoV+Ch34BYAv6hX5x+x76JXjoFwQbh3ERFF66TX9JxcbGavjw4Tp+/LjuvvturV27Vtu3b9eIESM0bNgw3XDDDUpJSVHdunVVtmxZvf/++/rPf/6jbdu26e2331ZycrIuvvhinThxQlu3bg36vqI+7yWXXKKHH35Ya9euVd++fTVnzhyNGjVKXbp0KfD5inqdV/YU9fUr6vMU53WuXbu2JOnf//630tLSirzFrc7+WY+NjTW8BAACQ7/QL27fQ78ED/0CwBb0C/3i9j30S/DQLwBsQb/QL27fQ78ED/0CwBb0C/3i9j30S/DQLwg6BwiCadOmOZGRkU5OTo7pKb+oRYsWTr169Qo8dvjwYUeSM3DgwAKPv/vuu44k5/333y/w+KhRo5zSpUs7khxJTnR0tHP//fc7hw8fzr9m6tSpTtmyZfOvqVChgvPOO+8406ZNc+Li4pzo6OhC9ziO4zz33HOOJGfLli3F+vqK+rzZ2dnO0KFDnYoVKzqSnIoVKzqDBw/Of96MjIxiXee2Pe3bt3dq1qx53k1Fef2K+jxF/foOHTrktGnTxpHkXHfddcXa4kb79u1zJDlLliwxPQUAAkK/0C9u2kO/hBb9AsAW9Av94qY99Eto0S8AbEG/0C9u2kO/hBb9AsAW9Av94qY99Eto0S8IsoMRjuM4AgL02Wef6Ve/+pUOHjyoypUrm54Tcv/3f/+ndevW6cSJE2rcuLFq1ap1zjWHDx/WunXrVL16dTVo0EARERH5jx89elRXXHFFSLYV93mPHj2qhIQESdJDDz2kjz/+WLt27Trn8xb1OrfvkYr2dtcDcQAAIABJREFU+hX1eYrz9e3bt0/x8fEFbutfnC1usWnTJjVp0kRff/216tWrZ3oOAJQY/UK/eGWPRL8Ein4BYAv6hX7xyh6JfgkU/QLAFvQL/eKVPRL9Eij6BYAt6Bf6xSt7JPolUPQLgiydw7gIis2bN6tx48basmWL6tevb3qOVR544IEiXXfPPffommuuueB1mZmZ6tChg9q0aaNXX301//GTJ0/qqquuUsOGDTVjxowiXxcor+7xs8WLF6tDhw6++Y8PAPaiX0KHfnHnHj+jXwDYgn4JHfrFnXv8jH4BYAv6JXToF3fu8TP6BYAt6JfQoV/cucfP6BcEWXq06QWwQ8WKFSX99G4IBNevfvWrIl1XvXr1Il1XpkwZVahQQf/4xz907NgxdevWTUePHtX48eP1ww8/6M033yzWdYHy6h4/O3z4sCIiIvLfMQUAXkW/hA794s49fka/ALAF/RI69Is79/gZ/QLAFvRL6NAv7tzjZ/QLAFvQL6FDv7hzj5/RLwg6BwiCM2fOOBEREc6MGTNMT0ERZGRkOE888YRz1VVXOREREU7ZsmWddu3aOQsXLizRdX7d41f/+te/nAoVKpieAQABo1+8xau94LY9fkW/ALAF/eItXu0Ft+3xK/oFgC3oF2/xai+4bY9f0S8AbEG/eItXe8Fte/yKfkGQHYxwHMcxfSAYdrj44ov1yiuvqF+/fqanoBiOHTum+Ph4RUZGBuU6v+7xk2HDhundd9/Vt99+a3oKAASMfvEmr/aC2/b4Cf0CwCb0izd5tRfctsdP6BcANqFfvMmrveC2PX5CvwCwCf3iTV7tBbft8RP6BUGWHm16AexRuXJlpaenm56BYipXrlxQrwuUV/f4yaFDh/L/1xwA4HX0izd5tRfctsdP6BcANqFfvMmrveC2PX5CvwCwCf3iTV7tBbft8RP6BYBN6Bdv8movuG2Pn9AvCDaOuiNoatWqpe+++870DAAhtmfPHtWuXdv0DAAICvoF8Af6BYBN6BfAH+gXADahXwB/oF8A2IR+AfyBfkGwcRgXQZOYmKjdu3ebngEgxHbt2qWkpCTTMwAgKOgXwB/oFwA2oV8Af6BfANiEfgH8gX4BYBP6BfAH+gXBxmFcBE1iYqJ27dplegaAENu9e7cSExNNzwCAoKBfAH+gXwDYhH4B/IF+AWAT+gXwB/oFgE3oF8Af6BcEG4dxETRJSUnas2ePHMcxPQVAiBw5ckTHjh3jnUEArEG/APajXwDYhn4B7Ee/ALAN/QLYj34BYBv6BbAf/YJQ4DAugiYxMVGnT5/W/v37TU8BECJn3/1HjACwBf0C2I9+AWAb+gWwH/0CwDb0C2A/+gWAbegXwH70C0KBw7gImrN/Oe3cudPwEgChsnv3bkVGRurSSy81PQUAgoJ+AexHvwCwDf0C2I9+AWAb+gWwH/0CwDb0C2A/+gWhwGFcBE3NmjVVtmxZff3116anAAiRr776SklJSSpVqpTpKQAQFPQLYD/6BYBt6BfAfvQLANvQL4D96BcAtqFfAPvRLwgFDuMiaCIjI9WwYUNt2rTJ9BQAIbJp0yY1adLE9AwACBr6BbAf/QLANvQLYD/6BYBt6BfAfvQLANvQL4D96BeEAodxEVRNmjTRxo0bTc8AECKbNm1S48aNTc8AgKCiXwC70S8AbES/AHajXwDYiH4B7Ea/ALAR/QLYjX5BKHAYF0HVuHFjYgSwVGZmprZv306MALAO/QLYi34BYCv6BbAX/QLAVvQLYC/6BYCt6BfAXvQLQoXDuAiqJk2a6MiRI/rhhx9MTwEQZF999ZVyc3O5TT8A69AvgL3oFwC2ol8Ae9EvAGxFvwD2ol8A2Ip+AexFvyBUOIyLoDr7lxTvDgLss3nzZpUpU0aXX3656SkAEFT0C2Av+gWAregXwF70CwBb0S+AvegXALaiXwB70S8IFQ7jIqgSEhKUmJiotLQ001MABFlaWpqaNGmiqKgo01MAIKjoF8Be9AsAW9EvgL3oFwC2ol8Ae9EvAGxFvwD2ol8QKhzGRdClpKRo+fLlpmcACLKlS5fq2muvNT0DAEKCfgHsRL8AsBn9AtiJfgFgM/oFsBP9AsBm9AtgJ/oFocJhXARdSkqKVqxYodzcXNNTAATJ8ePH9dVXXyklJcX0FAAICfoFsA/9AsB29AtgH/oFgO3oF8A+9AsA29EvgH3oF4QSh3ERdCkpKfl/cQGww/Lly5WXl6fk5GTTUwAgJOgXwD70CwDb0S+AfegXALajXwD70C8AbEe/APahXxBKHMZF0DVq1EjlypXTsmXLTE8BECTLli3TlVdeqSpVqpieAgAhQb8A9qFfANiOfgHsQ78AsB39AtiHfgFgO/oFsA/9glDiMC6CLjIyUm3atCFGAIssXbqUW/QDsBr9AtiHfgFgO/oFsA/9AsB29AtgH/oFgO3oF8A+9AtCicO4CIlrr71WixcvluM4pqcACFBmZqa+/PJLXXvttaanAEBI0S+APegXAH5BvwD2oF8A+AX9AtiDfgHgF/QLYA/6BaHGYVyERKdOnbRv3z5t2rTJ9BQAAfrss890+vRpderUyfQUAAgp+gWwB/0CwC/oF8Ae9AsAv6BfAHvQLwD8gn4B7EG/INQ4jIuQaN68uapWrao5c+aYngIgQJ9++qmaNGmiGjVqmJ4CACFFvwD2oF8A+AX9AtiDfgHgF/QLYA/6BYBf0C+APegXhBqHcRESkZGRuvHGG4kRwAJz5sxRly5dTM8AgJCjXwB70C8A/IJ+AexBvwDwC/oFsAf9AsAv6BfAHvQLQo3DuAiZzp07a9myZTp27JjpKQBKaNeuXdq2bZs6d+5segoAhAX9Angf/QLAb+gXwPvoFwB+Q78A3ke/APAb+gXwPvoF4cBhXIRM586d5TiOFi1aZHoKgBKaPXu24uPjlZycbHoKAIQF/QJ4H/0CwG/oF8D76BcAfkO/AN5HvwDwG/oF8D76BeHAYVyETIUKFdS6dWvNnDnT9BQAJTRr1izdeOONiomJMT0FAMKCfgG8j34B4Df0C+B99AsAv6FfAO+jXwD4Df0CeB/9gnDgMC5CqlevXpo5c6ZOnz5tegqAYkpPT9fixYvVu3dv01MAIKzoF8C76BcAfkW/AN5FvwDwK/oF8C76BYBf0S+Ad9EvCBcO4yKkbrvtNp04cUJz5841PQVAMU2bNk2xsbHq2rWr6SkAEFb0C+Bd9AsAv6JfAO+iXwD4Ff0CeBf9AsCv6BfAu+gXhAuHcRFS1atXV0pKiqZOnWp6CoBimjp1qm666SbFxcWZngIAYUW/AN5FvwDwK/oF8C76BYBf0S+Ad9EvAPyKfgG8i35BuHAYFyHXu3dvffTRR8rMzDQ9BUAR7d+/X0uWLOEW/QB8i34BvId+AeB39AvgPfQLAL+jXwDvoV8A+B39AngP/YJw4jAuQu7WW29VZmamZs+ebXoKgCKaPn26LrroInXp0sX0FAAwgn4BvId+AeB39AvgPfQLAL+jXwDvoV8A+B39AngP/YJwinAcxzE9Ava78cYbVbp0aX300UempwAogpYtW6p+/fp69913TU8BAGPoF8Bb6BcAoF8Ar6FfAIB+AbyGfgEA+gXwGvoFYZTOnXERFvfdd59mz56tvXv3mp4C4AI2btyo1atXq3///qanAIBR9AvgHfQLAPyEfgG8g34BgJ/QL4B30C8A8BP6BfAO+gXhxmFchEWPHj1UoUIFvfPOO6anALiAsWPHqk6dOmrbtq3pKQBgFP0CeAf9AgA/oV8A76BfAOAn9AvgHfQLAPyEfgG8g35BuHEYF2ERGxure+65R2+88YZyc3NNzwFQiMzMTL333nvq37+/IiIiTM8BAKPoF8Ab6BcA+P/oF8Ab6BcA+P/oF8Ab6BcA+P/oF8Ab6BeYwGFchM2AAQO0d+9eLVy40PQUAIWYOnWqTp48qd/+9rempwCAK9AvgPvRLwBQEP0CuB/9AgAF0S+A+9EvAFAQ/QK4H/0CEyIcx3FMj4B/tGvXTpUrV9b06dNNTwFwHm3btlX16tX1wQcfmJ4CAK5BvwDuRr8AwLnoF8Dd6BcAOBf9Argb/QIA56JfAHejX2BAOnfGRVg9+OCDmjVrlnbs2GF6CoD/8eWXX2rZsmV68MEHTU8BAFehXwD3ol8A4PzoF8C96BcAOD/6BXAv+gUAzo9+AdyLfoEp3BkXYZWbm6u6deuqS5cu+sc//mF6DoCf6dWrl3bv3q20tDTTUwDAVegXwL3oFwA4P/oFcC/6BQDOj34B3It+AYDzo18A96JfYAh3xkV4RUVF6aGHHtK4ceN0+PBh03MA/NeuXbs0Y8YMPfbYY6anAIDr0C+AO9EvAFA4+gVwJ/oFAApHvwDuRL8AQOHoF8Cd6BeYxGFchF2/fv1UpkwZjRkzxvQUAP/1yiuvqFatWrrllltMTwEAV6JfAPehXwDgl9EvgPvQLwDwy+gXwH3oFwD4ZfQL4D70C0ziMC7CLi4uTv3799eoUaN0+vRp03MA3zty5IjefvttPfLII4qOjjY9BwBciX4B3IV+AYALo18Ad6FfAODC6BfAXegXALgw+gVwF/oFpnEYF0Y89NBDOnbsmN5++23TUwDfGzVqlGJiYnTvvfeangIArka/AO5BvwBA0dAvgHvQLwBQNPQL4B70CwAUDf0CuAf9AtM4jAsjatSooX79+mno0KHKzMw0PQfwrYyMDI0cOVJ//OMfFR8fb3oOALga/QK4A/0CAEVHvwDuQL8AQNHRL4A70C8AUHT0C+AO9AvcgMO4MOaZZ55RRkaG3njjDdNTAN968cUXFRUVpcGDB5ueAgCeQL8A5tEvAFA89AtgHv0CAMVDvwDm0S8AUDz0C2Ae/QI34DAujKlevboGDhyo4cOH69SpU6bnAL5z6NAhjR49Wk8++STvCgKAIqJfALPoFwAoPvoFMIt+AYDio18As+gXACg++gUwi36BW3AYF0YNGTJEJ0+e1D//+U/TUwDfGT58uEqXLq1BgwaZngIAnkK/AObQLwBQMvQLYA79AgAlQ78A5tAvAFAy9AtgDv0Ct+AwLoyqVKmSHnzwQb300ks6fvy46TmAb/zwww/617/+pSFDhqhs2bKm5wCAp9AvgBn0CwCUHP0CmEG/AEDJ0S+AGfQLAJQc/QKYQb/ATSIcx3FMj4C/HTlyRHXq1NG9996rl156yfQcwBfuueceLVu2TFu2bFHp0qVNzwEAz6FfgPCjXwAgMPQLEH70CwAEhn4Bwo9+AYDA0C9A+NEvcJF07owL4ypUqKDU1FSNHDlS3377rek5gPVWrlypSZMm6eWXXyZEAKCE6BcgvOgXAAgc/QKEF/0CAIGjX4Dwol8AIHD0CxBe9AvchjvjwhVyc3N11VVXKSkpSbNmzTI9B7CW4zhq06aN4uLitGjRItNzAMDT6BcgPOgXAAge+gUID/oFAIKHfgHCg34BgOChX4DwoF/gQunRphcAkhQVFaXXXntN119/vebOnatOnTqZngRY6d1339WaNWu0Zs0a01MAwPPoFyA86BcACB76BQgP+gUAgod+AcKDfgGA4KFfgPCgX+BG3BkXrtK9e3ft2rVL69atU3Q0Z8WBYDpx4oTq1q2rm266SWPGjDE9BwCsQb8AoUO/AEBo0C9A6NAvABAa9AsQOvQLAIQG/QKEDv0Cl0qPNL0A+LkRI0Zo+/btGjFihOkpgHWeffZZnT59WkOHDjU9BQCsQr8AoUO/AEBo0C9A6NAvABAa9AsQOvQLAIQG/QKEDv0Ct4pKTU1NNT0COKtixYqKiIjQ0KFDddttt6lChQqmJwFWWLVqlQYOHKjRo0crJSXF9BwAsAr9AoQG/QIAoUO/AKFBvwBA6NAvQGjQLwAQOvQLEBr0C1zsVITjOI7pFcDP5eTkqFWrVrr44ou1ePFiRUREmJ4EeFpOTo5atmyp8uXLa9GiRfyZAoAQoF+A4KJfACD06BcguOgXAAg9+gUILvoFAEKPfgGCi36By6VHml4A/K/o6GiNHTtWS5cu1bhx40zPATzvhRde0NatW/XGG28QIgAQIvQLEFz0CwCEHv0CBBf9AgChR78AwUW/AEDo0S9AcNEvcDvujAvX+uMf/6jx48dry5Ytqlatmuk5gCdt3bpVzZo101//+lc9/vjjpucAgPXoFyBw9AsAhBf9AgSOfgGA8KJfgMDRLwAQXvQLEDj6BR6QzmFcuNbJkyfVpEkT1atXTx9//DHvaACKKTs7W23btlVeXp5WrFih6Oho05MAwHr0CxAY+gUAwo9+AQJDvwBA+NEvQGDoFwAIP/oFCAz9Ao9IjzS9AChMXFycpkyZovnz52v06NGm5wCek5qaqs2bN2vChAmECACECf0CBIZ+AYDwo1+AwNAvABB+9AsQGPoFAMKPfgECQ7/AK6JSU1NTTY8ACnPJJZcoNzdXf/7zn9W9e3dVrVrV9CTAE5YsWaL+/fvrH//4hzp16mR6DgD4Cv0ClAz9AgDm0C9AydAvAGAO/QKUDP0CAObQL0DJ0C/wkFMRjuM4plcAvyQnJ0ft2rXT8ePHtXr1apUuXdr0JMDVMjIy1KxZMzVr1kwzZ840PQcAfIl+AYqHfgEA8+gXoHjoFwAwj34Biod+AQDz6BegeOgXeEx6pOkFwIVER0dr4sSJ2rt3r4YMGWJ6DuB6AwcOVHZ2tt58803TUwDAt+gXoHjoFwAwj34Biod+AQDz6BegeOgXADCPfgGKh36B10Slpqammh4BXEhCQoJq1qypp556So0bN1b9+vVNTwJc6fXXX9crr7yi6dOnq1GjRqbnAICv0S9A0dAvAOAe9AtQNPQLALgH/QIUDf0CAO5BvwBFQ7/Ag05FOI7jmF4BFNWgQYM0ceJErVy5Ug0bNjQ9B3CVFStW6LrrrtNzzz2nZ555xvQcAMB/0S9A4egXAHAn+gUoHP0CAO5EvwCFo18AwJ3oF6Bw9As8Kp3DuPCU7OxsdejQQQcPHtSqVatUrlw505MAVzhw4ICuvvpqNW/eXDNnzlRkZKTpSQCA/6JfgPOjXwDAvegX4PzoFwBwL/oFOD/6BQDci34Bzo9+gYdxGBfes3//fjVv3lytWrXSjBkzFBERYXoSYFR2drY6duyoH3/8UatWrVL58uVNTwIA/A/6BSiIfgEA96NfgILoFwBwP/oFKIh+AQD3o1+AgugXeFw6R8fhOdWqVdN7772nTz75RMOHDzc9BzDu0Ucf1Zo1azR9+nRCBABcin4BCqJfAMD96BegIPoFANyPfgEKol8AwP3oF6Ag+gVeF5WamppqegRQXImJiSpfvryeeOIJ1a9fXw0bNjQ9CTBi1KhRGjp0qCZMmKAOHTqYngMA+AX0C/AT+gUAvIN+AX5CvwCAd9AvwE/oFwDwDvoF+An9Agucija9ACipwYMHa8eOHerTp48uueQSpaSkmJ4EhNUnn3yiRx99VH/729/Uu3dv03MAAEVAv8Dv6BcA8B76BX5HvwCA99Av8Dv6BQC8h36B39EvsEWE4ziO6RFASeXl5enWW2/VF198oeXLl6tOnTqmJwFhsWbNGrVv316333673nzzTdNzAADFQL/Ar+gXAPAu+gV+Rb8AgHfRL/Ar+gUAvIt+gV/RL7BIOodx4XmZmZnq0KGD0tPTtWLFClWuXNn0JCCkdu/erWuuuUZNmzbVxx9/rOhobnIOAF5Dv8Bv6BcA8D76BX5DvwCA99Ev8Bv6BQC8j36B39AvsAyHcWGH/fv365prrlG1atU0f/58lS1b1vQkICQOHjyo9u3bq1SpUlqyZIni4+NNTwIAlBD9Ar+gXwDAHvQL/IJ+AQB70C/wC/oFAOxBv8Av6BdYKD3S9AIgGM5GyJ49e9S5c2edPHnS9CQg6I4dO6YuXbooOztbs2fPJkQAwOPoF/gB/QIAdqFf4Af0CwDYhX6BH9AvAGAX+gV+QL/AVhzGhTWuuOIKzZ07V99884169OihM2fOmJ4EBM2pU6fUrVs3HTx4UPPnz1eNGjVMTwIABAH9ApvRLwBgJ/oFNqNfAMBO9AtsRr8AgJ3oF9iMfoHNOIwLqzRu3FgLFixQWlqabr/9duXk5JieBAQsMzNT3bp109atWzVv3jwlJSWZngQACCL6BTaiXwDAbvQLbES/AIDd6BfYiH4BALvRL7AR/QLbcRgX1mnWrJlmzZqlefPmqW/fvsrNzTU9CSix06dP65ZbbtGGDRu0YMEC1a9f3/QkAEAI0C+wCf0CAP5Av8Am9AsA+AP9ApvQLwDgD/QLbEK/wA84jAsrtWvXTjNnztSMGTN0++23Kysry/QkoNhOnDihrl27auXKlfr000/VpEkT05MAACFEv8AG9AsA+Av9AhvQLwDgL/QLbEC/AIC/0C+wAf0Cv4hwHMcxPQIIlSVLlqhbt25KSUnR9OnTVaZMGdOTgCLJyMhQ165dtX37ds2dO1fNmjUzPQkAECb0C7yKfgEA/6Jf4FX0CwD4F/0Cr6JfAMC/6Bd4Ff0CH0nnMC6st2bNGnXu3FkNGjTQxx9/rPj4eNOTgF905MgRdenSRXv37tW8efPUqFEj05MAAGFGv8Br6BcAAP0Cr6FfAAD0C7yGfgEA0C/wGvoFPsNhXPjDxo0bdeONN+qyyy7Txx9/rAoVKpieBJzX999/rxtvvFFZWVmaP3++kpKSTE8CABhCv8Ar6BcAwFn0C7yCfgEAnEW/wCvoFwDAWfQLvIJ+gQ+lR5peAIRDkyZN9Pnnn+uHH35QcnKyduzYYXoScI7169erTZs2ioyM1BdffEGIAIDP0S/wAvoFAPBz9Au8gH4BAPwc/QIvoF8AAD9Hv8AL6Bf4FYdx4Rt169bVl19+qfj4eLVu3VpLliwxPQnIN2/ePLVv315169bV0qVLVaNGDdOTAAAuQL/AzegXAMD50C9wM/oFAHA+9AvcjH4BAJwP/QI3o1/gZxzGha9Uq1ZNn332mZKTk3XDDTdoypQppicBeuutt9StWzf16NFDc+bMUfny5U1PAgC4CP0CN6JfAAC/hH6BG9EvAIBfQr/AjegXAMAvoV/gRvQL/C4qNTU11fQIIJxiY2PVu3dvHThwQEOGDFGZMmWUnJysiIgI09PgM7m5uXryySf19NNP67nnntMrr7yi6Oho07MAAC5Ev8At6BcAQFHRL3AL+gUAUFT0C9yCfgEAFBX9AregXwBJ0ikO48KXIiMj1bVrV8XHx+upp57Sli1b1KVLF8XGxpqeBp84dOiQevTooWnTpmncuHEaPHgwQQwA+EX0C0yjXwAAxUW/wDT6BQBQXPQLTKNfAADFRb/ANPoFyHcqwnEcx/QKwKTPP/9ct912m8qXL68PP/xQDRo0MD0Jllu3bp1uueUWZWdna9q0aWrdurXpSQAAj6FfEG70CwAgUPQLwo1+AQAEin5BuNEvAIBA0S8IN/oFKCA90vQCwLT27dtr9erVSkhIUJs2bTR9+nTTk2CxCRMmKCUlRbVr19bq1asJEQBAidAvCCf6BQAQDPQLwol+AQAEA/2CcKJfAADBQL8gnOgX4FwcxgUk1axZU5999pluv/129erVS08++aSysrJMz4JFTp48qfvuu099+vTRI488ogULFqhq1aqmZwEAPIx+QajRLwCAYKNfEGr0CwAg2OgXhBr9AgAINvoFoUa/AIWLcBzHMT0CcJPx48dr8ODBqlOnjiZNmqR69eqZngSPW716te666y4dPnxYb731lm6++WbTkwAAlqFfEGz0CwAg1OgXBBv9AgAINfoFwUa/AABCjX5BsNEvwC9K5864wP/43e9+p40bN6pMmTK66qqr9Nprr4kz6ygJx3H08ssvKzk5WTVr1tSGDRsIEQBASNAvCBb6BQAQLvQLgoV+AQCEC/2CYKFfAADhQr8gWOgXoGiiUlNTU02PANwmISFBWVlZ2rhxoz744AOtX79e119/veLi4kxPg0fs3btXPXr00DvvvKNq1arpySefVHJysulZAACL0S8IFP0CAAg3+gWBol8AAOFGvyBQ9AsAINzoFwSKfgGK7BR3xgX+x4EDB9S1a1cNGjRI/fv316JFi7R27Vo1bNhQEydOND0PLpeXl6fRo0erUaNG2r9/v1auXKlbbrlFd9xxh+68805lZGSYnggAsBD9gkDQLwAAE+gXBIJ+AQCYQL8gEPQLAMAE+gWBoF+A4uMwLvAzH330kRo0aKA5c+ZIkrp27ap27dppy5Ytuvfee9W3b1916dJFe/bsMbwUbrRt2zZ17NhRjzzyiPr27au0tDQ1a9ZMXbt2lSRNmTJFDRo00OLFiw0vBQDYhH5BIOgXAIAJ9AsCQb8AAEygXxAI+gUAYAL9gkDQL0DJcBgXkHTq1Ck99NBDuvnmm5WRkSHHcVS9enU1adJEkhQXF6cXXnhBX3zxhb777js1aNBAL774onJzcw0vhxtkZ2frxRdfVOPGjXX06FGtXLlSI0eOzP/fOrRr105ly5aV4zg6ePCgrr/+eg0YMECnTp0yvBwA4GX0CwJBvwAATKBfEAj6BQBgAv2CQNAvAAAT6BcEgn4BAsNhXPjel19+qYYNG2rMmDGSfrrNekxMjHr27HnOtcnJyVq7dq0ee+wxPffcc2rdurWWLl0a7slwkdmzZ6tx48YaOnSohg8frtWrV+vqq68ucE1MTIw6deqk6Oho5ebmynEcjR8/Xs2aNdO6desMLQcAeBn9gkDQLwAAE+gXBIJ+AQCYQL8gEPQLAMAE+gWBoF+AwHEYF76Vk5Oj1NRUJScna+/evcrJycn/WHZ2dv6t1f9XqVKl9Je//EXr1q1TQkKC2rVrp9tvv13fffdduKbDBb755hv9+te/VteuXdWoUSNt3rxZf/jDHxQVFXXe62+66Sbl5eXl/zwnJ0e7du1Sy5YtlZqayrsXsE/HAAAgAElEQVTMAABFQr8gEPQLAMAE+gWBoF8AACbQLwgE/QIAMIF+QSDoFyB4IhzHcUyPAMLt66+/1h133KHNmzef95tA6dKldfToUZUuXfqCn2vBggV6+OGHtWvXLg0ePFjPPPOM4uPjQzEbLpCRkaEXXnhBr732mi677DK9+uqr6tSp0wV/XXp6uqpVq1YgSM6KjIzU1VdfrcmTJ+uKK64IxWwAgAXoF5QU/QIAMIV+QUnRLwAAU+gXlBT9AgAwhX5BSdEvQNClc2dc+IrjOPr3v/+t5s2ba8uWLecNkaioKHXs2LFIISJJHTt21Lp16/SXv/xF//rXv1S/fn3985//VFZWVrDnw6CTJ0/qpZde0hVXXKFx48Zp5MiR2rRpU5FCRJIqV66s5s2bKyIi4pyP5eXlad26dWratKn+/e9/B3s6AMDj6BeUFP0CADCFfkFJ0S8AAFPoF5QU/QIAMIV+QUnRL0DocBgXvvHDDz+oY8eOGjRokE6fPq3s7OxCr+3evXuxPndsbKwef/xxffvtt+rZs6ceffRR1alTR2+99VaB2//De06fPq3XXntNl19+uYYOHaoBAwbo22+/1cCBAwu9JX9hevTooejo6PN+LCcnR6dOndLAgQPVo0cPHTp0KBjzAQAeR7+gJOgXAIBJ9AtKgn4BAJhEv6Ak6BcAgEn0C0qCfgFCj8O48I2ZM2fq888/v+B1eXl56tq1a4meo2rVqho1apS2bdumzp07a9CgQapfv74mTJhw3nchwb3OnDmjf/7zn7riiis0ZMgQ3X333dq5c6f+9re/qXz58iX6nN26dfvFCJZ+emfanDlzNG/evBI9BwDALvQLioN+AQC4Af2C4qBfAABuQL+gOOgXAIAb0C8oDvoFCJ8Ix3Ec0yOAcElLS1OvXr20b9++Qr8pNG7cWBs3bgzK83333Xd6/vnnNW7cONWsWVP333+/7r//fpUrVy4onx/Bd/z4cY0fP14vv/yyDh48qL59++rPf/6zatSoEZTPX6NGDf3444/n/VhMTIwSExP1wQcfqGnTpkF5PgCA99EvuBD6BQDgNvQLLoR+AQC4Df2CC6FfAABuQ7/gQugXIOzSuTMufKVly5batGmTWrVqJUmKiIgo8PGYmBj17NkzaM936aWXauzYsfrmm2/UtWtXDR06VElJSXr66acL/YYEM3bt2qWHH35Yl1xyiVJTU3XnnXdq586dGjt2bNBCRJJ+85vfKDY2tsBjkZE//VXctm1brV+/nhABABRAv6Aw9AsAwK3oFxSGfgEAuBX9gsLQLwAAt6JfUBj6BTCHw7jwnYMHD2rjxo3q3r274uLiFB0dnf+x7OxsdevWLejPefnll+v111/Xnj179Oijj2r8+PFKTExU3759tXz58qA/H4rGcRwtWrRIvXv31pVXXqlZs2bpr3/9q7777ju9+OKLuuSSS4L+nN26dVNWVlb+z2NiYhQfH68OHTpo8+bNysjICPpzAgC8j37BWfQLAMAr6BecRb8AALyCfsFZ9AsAwCvoF5xFvwDuEOE4jmN6BBAu2dnZuvbaa5Wdna0VK1Zo79696t27tzZs2KDc3FxVrFhRBw8ezH+nRqicOXNGEydO1Ouvv67169erYcOG6t+/v+655x5VqFAhpM8N6ccff9Tbb7+tt956Szt27NA111yjwYMH69Zbby0Qp6GQmZmphIQEnTlzRpGRkWrbtq3ee+89lStXTldffbWqV6+uhQsXhvzfQQCAd9AvkOgXAIC30C+Q6BcAgLfQL5DoFwCAt9AvkOgXwGXS5QA+8thjjzlxcXHON998k/9YVlaW89RTTzkRERHO7373u7BvWrVqlTNgwAAnPj7eKV26tHPnnXc68+bNc3JycsK+xWanT592Zs2a5fzmN79xoqOjnQoVKjgPP/yws3nz5rBv+fWvf+1ERUU5w4cPd3Jzc/MfX716tRMbG+u89NJLYd8EAHAv+sW/6BcAgFfRL/5FvwAAvIp+8S/6BQDgVfSLf9EvgGsd5M648I358+erc+fOeuutt9S3b99zPr5o0SJFREToV7/6VfjHSTpx4oTef/99vfnmm1q5cqUqV66sW265Rb1791a7du0UFRVlZJeXZWdna8GCBZo6dapmzpyp48ePq3379urXr5969uyp0qVLG9n1n//8R1WrVlWrVq3O+dhLL72kZ599VkuWLFHr1q0NrAMAuAn94j/0CwDA6+gX/6FfAABeR7/4D/0CAPA6+sV/6BfAE9I5jAtfSE9PV9OmTZWSkqIPPvjA9JwL2rFjh6ZOnar3339fGzZsULVq1XTLLbeoR48eatu2rUqVKmV6omudOnVKn332mT788EPNmDFDR48eVevWrdW7d2/16tVLNWvWND3xF+Xl5alz587auXOn1q5dq4svvtj0JACAIfSLf9AvAABb0C/+Qb8AAGxBv/gH/QIAsAX94h/0C+A5HMaF/RzH0c0336z169drw4YNSkhIMD2pWLZu3aqpU6dq6tSp2rx5s+Li4nT99derc+fO6ty5s5KSkkxPNG7r1q2aM2eO5syZoy+++EJnzpzR1Vdfrd69e6t3796qXbu26YnFcuDAATVt2lSdO3fW22+/bXoOAMAA+sV+9AsAwDb0i/3oFwCAbegX+9EvAADb0C/2o18AT+MwLuw3cuRIPfbYY/r888+VnJxsek5A9uzZozlz5ujTTz/VwoULdeLECdWtW1cdO3ZUcnKy2rZtq0svvdT0zJDbtm2bli9frqVLl2rhwoXatWuXEhISdMMNN+RHWvXq1U3PDMicOXPUtWtXTZgwQXfddZfpOQCAMKNf7EO/AABsR7/Yh34BANiOfrEP/QIAsB39Yh/6BbAKh3Fht82bN6tVq1YaMmSInn32WdNzgiorK0tLly7V3Llz9cUXX2jNmjXKzs5WzZo11bZtW6WkpKhVq1Zq2LCh4uLiTM8tsePHj2vTpk1atWqVli5dqmXLlunAgQMqXbq0WrZsqeuuu06dO3dW69atFRUVZXpuUA0ePFjjx4/X2rVrdeWVV5qeAwAIE/qFfvEy+gUA/Il+oV+8jH4BAH+iX+gXL6NfAMCf6Bf6xcvoF/gEh3Fhr9OnT6tVq1YqX768Fi9ebN03qv+VmZmptLQ0LVmyRMuXL9fy5cuVkZGhyMhIXXbZZWrSpIkaN26sxo0bq2HDhkpMTFTp0qVNz8536tQp7dixQ1u2bNHGjRu1efNmbdq0Sbt27ZIkVa5cOf/dT8nJyWrRooViY2MNrw6tM2fOqE2bNoqJidGyZcsUExNjehIAIMToF/rF6+gXAPAf+oV+8Tr6BQD8h36hX7yOfgEA/6Ff6Bevo1/gExzGhb0GDBigDz74QOvXr1ft2rVNzwm7vLw87dq1Sxs2bNCmTZu0adMmbdy4UTt27FBeXp4kqXr16kpKSlJSUpISExOVmJioKlWqqGLFiqpYsaIqVaqkihUrKiIiosQ7cnNzdfjw4QI/9u/fr927d2v37t3atWuXdu/erQMHDkiSoqOjVadOHTVu3LhAQCUmJgbjt8VztmzZopYtW+oPf/iDhg0bZnoOACDE6Bf6xQb0CwD4C/1Cv9iAfgEAf6Ff6Bcb0C8A4C/0C/1iA/oFPsBhXNhpxowZ6tmzp6ZMmaLbbrvN9BxXOXXqlL799tv8CNi1a1f+jz179ujEiRMFro+IiFDFihV18cUXS5LKlSunyMhIxcTEqGzZssrNzVVUVJSOHz+u3Nxc5ebm6vjx45KkjIwMHTly5JwN5cqVU+3atQuE0Nl/rlOnjkqVKhX63wgPGTt2rB544AHNnz9fHTp0MD0HABAi9Evh6BfvoV8AwB/ol8LRL95DvwCAP9AvhaNfvId+AQB/oF8KR794D/0Cy3EYF/b5/vvv1axZM916660aM2aM6Tmec/r06QLv4jl06JAOHTqUHxhnoyM7O1snTpzQ0qVL1bZtW8XHxys6OlrR0dGKj4+XJJUvXz7/3UWVKlVShQoVVKlSJetvrx8Kt99+u5YuXaoNGzaoYsWKpucAAIKMfgkM/eJO9AsA2I1+CQz94k70CwDYjX4JDP3iTvQLANiNfgkM/eJO9AssxmFc2CUvL0833HCD9u/fr7S0NF100UWmJ1ltw4YNat68uXbv3q1atWqZnmO1jIwMNWvWTM2bN9eHH35oeg4AIIjol/CiX8KHfgEAe9Ev4UW/hA/9AgD2ol/Ci34JH/oFAOxFv4QX/RI+9Asslh5pegEQTM8//7yWLVumSZMmESJhMHnyZOXl5WnKlCmmp1ivfPnymjBhgj766CONHTvW9BwAQBDRL+FFv4QP/QIA9qJfwot+CR/6BQDsRb+EF/0SPvQLANiLfgkv+iV86BfYjDvjwhqrVq1S27ZtNWLECD300EOm51jPcRzVqFFD+/fvV6NGjbRp0ybTk3zhT3/6k15++WV9+eWXatKkiek5AIAA0S/hRb+YQb8AgF3ol/CiX8ygXwDALvRLeNEvZtAvAGAX+iW86Bcz6BdYKJ3DuLDCsWPHdNVVV6levXr65JNPFBERYXqS9ZYsWaJ27drl//yrr75SgwYNDC7yh5ycHLVv317Hjh1TWlqaypQpY3oSAKCE6Jfwo1/MoF8AwB70S/jRL2bQLwBgD/ol/OgXM+gXALAH/RJ+9IsZ9AsslB5pegEQDA888IBOnTql8ePHEyJh8t577yk2NlaSFBMTo/fff9/wIn+Ijo7WlClTtG/fPj355JOm5wAAAkC/hB/9Ygb9AgD2oF/Cj34xg34BAHvQL+FHv5hBvwCAPeiX8KNfzKBfYCPujAvPGz9+vPr166dPP/1UN9xwg+k5vpCTk6MqVaro6NGj+Y/VqlVLe/bsIQbDZNq0aerdu7dmzpyp7t27m54DACgm+iX86Bfz6BcA8Db6JfzoF/PoFwDwNvol/OgX8+gXAPA2+iX86Bfz6BdYhDvjwtu2b9+uhx9+WI899hghEkbz5s0rECKStHfvXq1Zs8bQIv+59dZb1adPH913333at2+f6TkAgGKgX8ygX8yjXwDAu+gXM+gX8+gXAPAu+sUM+sU8+gUAvIt+MYN+MY9+gU04jAvPys7O1t133606depo6NChpuf4yuTJkxUTE1PgsZiYGL333nuGFvnT66+/rooVK+rOO+9Ubm6u6TkAgCKgX8yhX9yBfgEA76FfzKFf3IF+AQDvoV/MoV/cgX4BAO+hX8yhX9yBfoEtOIwLz3r66ae1efNmTZo0SbGxsabn+Mbp06c1Y8YMZWdnF3g8Oztb7777Lt8UwyguLk6TJ0/WihUrNGLECNNzAABFQL+YQb+4B/0CAN5Dv5hBv7gH/QIA3kO/mEG/uAf9AgDeQ7+YQb+4B/0CW3AYF540b948vfrqqxo9erTq1q1reo6vzJo1S5mZmef92KFDh/TFF1+EeZG/NW/eXMOGDdMzzzyjlStXmp4DAPgF9Is59Iu70C8A4B30izn0i7vQLwDgHfSLOfSLu9AvAOAd9Is59Iu70C+wQYTjOI7pEUBxpKenq2nTpmrbtq2mTp1qeo7vdO/eXXPmzFFOTs45H4uJiVGfPn30xhtvGFjmX47jqFu3btq6davWrl2riy++2PQkAMD/oF/Mol/ch34BAPejX8yiX9yHfgEA96NfzKJf3Id+AQD3o1/Mol/ch36Bx6VzGBee4jiObr75Zq1fv14bNmxQQkKC6Um+kpGRoSpVqpxzi/6fi4+PV3p6ukqVKhXGZTh48KCaNm2qG2+8Ue+8847pOQCAn6FfzKJf3It+AQD3ol/Mol/ci34BAPeiX8yiX9yLfgEA96JfzKJf3It+gYelR5peABTHyJEjNWfOHE2ZMoUQMWDatGnKy8v7xWtOnDihuXPnhmkRzqpSpYrGjx+vCRMmaNKkSabnAAB+hn4xi35xL/oFANyLfjGLfnEv+gUA3It+MYt+cS/6BQDci34xi35xL/oFXsZhXHjG5s2b9fTTTys1NVXJycmm5/jSpEmTLhgjZ69D+HXu3FkPPfSQ7r//fm3bts30HACA6Bc3oF/cjX4BAPehX8yjX9yNfgEA96FfzKNf3I1+AQD3oV/Mo1/cjX6BV0U4juOYHgFcyKlTp9SiRQtVqlRJixcvVlRUlOlJvnP69Gn97ne/U25ubv5jR44c0cKFC/XrX/9acXFx+Y/HxcVp3LhxioiIMDHV186cOaM2bdooJiZGy5YtU0xMjOlJAOBb9It59Is30C8A4B70i3n0izfQLwDgHvSLefSLN9AvAOAe9It59Is30C/woHQO48IT+vfvr+nTp2v9+vW69NJLTc/Bf6WlpalVq1bauXOnkpKSTM/Bf3399ddq0aKFHnnkET3//POm5wCAb9Ev7kS/uBP9AgDuQL+4E/3iTvQLALgD/eJO9Is70S8A4A70izvRL+5Ev8Bj0iNNLwAu5MMPP9Sbb76pMWPGECJAEdSvX1+vvvqqXnjhBS1cuND0HADwJfoFKB76BQDMo1+A4qFfAMA8+gUoHvoFAMyjX4DioV/gNRzGhat9//336t+/v+6//3717t3b9BzAMwYMGKBevXqpT58+OnTokOk5AOAr9AtQMvQLAJhDvwAlQ78AgDn0C1Ay9AsAmEO/ACVDv8BLOIwL18rLy9Nvf/tbVatWTSNGjDA9B/CcMWPGKDo6Wn369JHjOKbnAIAv0C9AYOgXAAg/+gUIDP0CAOFHvwCBoV8AIPzoFyAw9Au8gsO4cK1hw4Zp+fLlmjx5si666CLTcwDPKV++vCZMmKC5c+dq7NixpucAgC/QL0Bg6BcACD/6BQgM/QIA4Ue/AIGhXwAg/OgXIDD0C7yCw7hwpVWrVmnYsGF6+eWX1bRpU9NzAM+69tprNWTIEP3hD3/Qxo0bTc8BAKvRL0Bw0C8AED70CxAc9AsAhA/9AgQH/QIA4UO/AMFBv8ALIhzu3QyXOXbsmJo1a6b69evrk08+UUREhOlJKERaWppatWqlnTt3KikpyfQcFCInJ0fXXXedMjIylJaWpjJlypieBADWoV+8g37xBvoFAEKPfvEO+sUb6BcACD36xTvoF2+gXwAg9OgX76BfvIF+gculc2dcuM6gQYOUmZmp8ePHEyJAEERHR+u9997Tjz/+qCeeeML0HACwEv0CBBf9AgChR78AwUW/AEDo0S9AcNEvABB69AsQXPQL3I7DuHCVcePG6f3339fEiRNVtWpV03MAa9SqVUtjx47V6NGjNWvWLNNzAMAq9AsQGvQLAIQO/QKEBv0CAKFDvwChQb8AQOjQL0Bo0C9wMw7jwjW2b9+uRx55RI8//rg6duxoeg5gnVtvvVV9+/ZVv379tG/fPtNzAMAK9AsQWvQLAAQf/QKEFv0CAMFHvwChRb8AQPDRL0Bo0S9wqwjHcRzTI4Ds7Gy1bdtWubm5Wr58uWJjY01PQhGkpaWpVatW2rlzp5KSkkzPQRGcPHlSLVq0UNWqVbVw4UJFRUWZngQAnkW/eBP94j30CwAED/3iTfSL99AvABA89Is30S/eQ78AQPDQL95Ev3gP/QIXSufOuHCFp556Slu2bNHkyZMJESCE4uLiNGnSJK1YsUIvv/yy6TkA4Gn0CxAe9AsABA/9AoQH/QIAwUO/AOFBvwBA8NAvQHjQL3AjDuPCuHnz5unVV1/V6NGjVadOHdNzAOs1b95czz//vJ599lmtXLnS9BwA8CT6BQgv+gUAAke/AOFFvwBA4OgXILzoFwAIHP0ChBf98v/Yu/PwqKr78eOfyUIIYQ1LIAImCKJIWJRFcEEBRZTYCkq1dWlcqvZx+akFiz7WtVZrtVatVKuoLLZQ2yphNWIFAZGgLEKrEBbBIJKARBIgJMz5/cGXSMxkmcm999x7zvv1PP7hJM79AB9v3oEzA/wmpJRSuoeAvYqKiqRv375y9tlny6xZs3SPgyjxNv3BpZSS7Oxs+d///ierV6+Wli1b6h4JAAKDfgk2+iW46BcAiB39Emz0S3DRLwAQO/ol2OiX4KJfACB29Euw0S/BRb/AR4p4Z1xoo5SS66+/Xpo2bSp//etfdY8DWCUUCsmUKVPkwIEDctttt+keBwACg34B9KFfACA29AugD/0CALGhXwB96BcAiA39AuhDv8BPOIwLbZ599llZsGCBzJgxQ1q1aqV7HMA6HTp0kNdee02mT58u06dP1z0OAAQC/QLoRb8AQPToF0Av+gUAoke/AHrRLwAQPfoF0It+gV9wGBdafPbZZ3LffffJww8/LEOGDNE9DmCtiy66SO644w659dZbZePGjbrHAQBfo18Af6BfAKDh6BfAH+gXAGg4+gXwB/oFABqOfgH8gX6BH4SUUkr3ELBLWVmZDBgwQDp06CDvv/++xMfH6x4JMcrPz5dBgwbJli1bJDMzU/c4iFF5ebkMGTJE4uPjZdmyZdKkSRPdIwGA79Av5qBfzEC/AED96Bdz0C9moF8AoH70iznoFzPQLwBQP/rFHPSLGegXaFbEO+PCc3feead88803Mm3aNEIE8IGkpCSZOXOmfP755/LQQw/pHgcAfIl+AfyFfgGA+tEvgL/QLwBQP/oF8Bf6BQDqR78A/kK/QDcO48JT//znP2XKlCkyZcoU6dq1q+5xAPyfHj16yDPPPCNPPvmkLFq0SPc4AOAr9AvgT/QLANSOfgH8iX4BgNrRL4A/0S8AUDv6BfAn+gU6cRgXnvnqq6/kF7/4hdxyyy3y4x//WPc4AH7gpptukvHjx8t1110nxcXFuscBAF+gXwB/o18AoCb6BfA3+gUAaqJfAH+jXwCgJvoF8Df6BbpwGBeeCIfDcs0110jHjh3lD3/4g+5xANRi8uTJkpCQINddd50opXSPAwBa0S9AMNAvAPA9+gUIBvoFAL5HvwDBQL8AwPfoFyAY6BfowGFceOKRRx6Rjz76SN58801p1qyZ7nEA1KJ169Yyffp0WbhwoUyePFn3OACgFf0CBAP9AgDfo1+AYKBfAOB79AsQDPQLAHyPfgGCgX6BDhzGheuWLVsmv/3tb+Xpp5+Wvn376h4HQD3OPvtsuf/+++Wee+6RdevW6R4HALSgX4BgoV8AgH4BgoZ+AQD6BQga+gUA6BcgaOgXeC2keB9muGjfvn3Sv39/OfXUU2Xu3LkSCoV0jwQH5efny6BBg2TLli2SmZmpexw4KBwOy4gRI6SoqEjy8/MlOTlZ90gA4Bn6xWz0i7noFwA2o1/MRr+Yi34BYDP6xWz0i7noFwA2o1/MRr+Yi36Bh4p4Z1y46pe//KUcPHhQXnvtNUIECJC4uDiZOnWqfP311zJhwgTd4wCAp+gXIJjoFwA2o1+AYKJfANiMfgGCiX4BYDP6BQgm+gVe4jAuXPPqq6/KzJkzZfr06ZKWlqZ7HABR6tKli7z88svy4osvyjvvvKN7HADwBP0CBBv9AsBG9AsQbPQLABvRL0Cw0S8AbES/AMFGv8ArHMaFKwoKCuSuu+6SiRMnysiRI3WPAyBG48aNk5ycHMnJyZHt27frHgcAXEW/AGagXwDYhH4BzEC/ALAJ/QKYgX4BYBP6BTAD/QIvhJRSSvcQMEt5ebkMGTJE4uPjZdmyZdKkSRPdI8El+fn5MmjQINmyZYtkZmbqHgcuKSsrkwEDBkhaWposWrRI4uPjdY8EAI6jX+xBv9iBfgFgA/rFHvSLHegXADagX+xBv9iBfgFgA/rFHvSLHegXuKyId8aF4yZNmiSbNm2SGTNmECKAAVJSUmTGjBmyYsUKeeqpp3SPAwCuoF8As9AvAGxAvwBmoV8A2IB+AcxCvwCwAf0CmIV+gds4jAtHLVy4UJ599lmZPHmynHzyybrHAeCQ008/XR5//HF54IEH5KOPPtI9DgA4in4BzES/ADAZ/QKYiX4BYDL6BTAT/QLAZPQLYCb6BW4KKaWU7iFs9corr8g//vEP3WM4qqysTHbt2iUnnXSSI8/Xs2dPee655xx5LhNs3LhRbr/9dt1jVDl8+LDs3r1bOnbsKAkJCbrHqTJ16lRJS0vTPYZvXHfddbJr1y5HnmvTpk3SpUsXadq0qSPP5xc33nijXHHFFbrHAAKBfqkf/VId/dIw9Et19Ev96Beg4eiX+tEv1dEvDUO/VEe/1I9+ARqOfqkf/VId/dIw9Et19Ev96Beg4eiX+tEv1dEvDUO/VEe/1I9+0arIP3cPC33xxRfy6aefyqWXXqp7FEf17NnTkefJz8+XvXv3OvJcpigpKZF3331Xxo8fL82bN9c9joiIdOvWTfcIVYqLi2X27Nly4MAB3aP4yuLFi6VDhw6SlZXV6Ofq3LmzAxP5y6xZs2TEiBG6xwACg36pG/1SE/1SN/olMvqlbvQLEB36pW70S030S93ol8jol7rRL0B06Je60S810S91o18io1/qRr8A0aFf6ka/1ES/1I1+iYx+qRv9oh+HcTXLyMiQV199VfcYvjRhwgT54IMPdI/hS0888YRkZmbqHsN38vPzZfbs2brH8KXLL79cJk6cqHsMX1q0aJHuEYDAoV9qR7/Ujn6JjH6pHf1SO/oFiB79Ujv6pXb0S2T0S+3ol9rRL0D06Jfa0S+1o18io19qR7/Ujn4Boke/1I5+qR39Ehn9Ujv6pXb0i35xugcAAAAAAAAAAAAAAAAAAAAAgorDuAAAAAAAAAAAAAAAAAAAAECMOIwLAAAAAAAAAAAAAAAAAAAAxIjDuAAAAAAAAAAAAAAAAAAAAECMOIwLAAAAAAAAAAAAAAAAAAAAxIjDuAAAAAAAAAAAAAAAAAAAAECMOIwLAAAAAAAAAAAAAAAAAAAAxIjDuAAAAAAAAAAAAAAAAAAAAECMOIwLAAAAAAAAAAAAAAAAAAAAxIjDuAAAAAAAAAAAAAAAAAAAAECMOIwLAAAAAAAAAAAAAAAAAAAAxIjDuAAAAAAAAPcTlQsAACAASURBVAAAAAAAAAAAAECMOIwLAAAAAAAAAAAAAAAAAAAAxIjDuAAAAAAAAAAAAAAAAAAAAECMOIwLAAAAAAAAAAAAAAAAAAAAxIjDuAAAAAAAAAAAAAAAAAAAAECMOIxrkMcee0yWL18e8WPhcNjRa0V6vs2bN8uECRMcvxbc4+XORMLOBJOXe1NaWlrjMfYGMEtd9xSn0S9m8HJnImFngsnLvaFfAPPVdU+JdA9oDPrFDF7uTCTsTDB5uTf0C2C+2u4plZWVcuTIEUevRb+YwcudiYSdCSYv94Z+AcxX3+/p7t+/X/bs2ePItegXM3i5M5GwM8Hk5d7QL3bgMK4h5s+fL3/84x8lKyur6rGNGzfKnXfeKRkZGdK2bVsZM2aMLFq0KOZr1Pd83bp1k4ULF8pLL73UqB8LvOHFzhyvR48ectNNN1V7jJ0JHi/25tNPP5VRo0ZJamqqtGjRQjp27Cg333yzfPfddyLC3gAmiXRPOV6krx3Rol/M4sXO1Pd87EzweLE39Atgj0j3lPruAdGiX8zixc4cj34xgxd7Q78A9oh0T5kxY4YMHTpUWrRoIU2bNpVTTjlFXnjhhZj/AJh+MYsXO3M8+sUMXuwN/QLYo77f092zZ4+ccsopcs4558R8DfrFLF7szPHoFzN4sTf0i304jGuAw4cPy+233y533nmntGjRQkREDh48KJdeeqlMmTJFRo0aJbfeeqts2rRJsrOzZcmSJVFfoyHPFwqF5IEHHpD77rtPdu/e7eiPEc7yYmeO9/rrr0tBQUGNx9mZYPFib1atWiXDhw+XTz75RH7605/KAw88IK1atZKXX35ZRo4cKeFwmL0BDBHpnnK82r52RIN+MYsXO9OQ52NngsWLvaFfAHtEuqc05B4QDfrFLF7szPHoFzN4sTf0C2CPSPeUqVOnyjXXXCPffvut3HnnnfLLX/5SSktL5fbbb5fHH3886mvQL2bxYmeOR7+YwYu9oV8Ae9T3e7oiIjfccIPs3Lkz5mvQL2bxYmeOR7+YwYu9oV8spaDNr371KzVgwIBGP8+LL76omjRpor755puqx+666y4lImrevHlVj+3atUulpaWpzMzMqK/R0OerrKxUnTt3VrfffnuMP5rvOfXzY5KVK1cqEVFbtmxp1PN4sTM7duxQN954o+rbt68SESUi6sYbb6zxeU7ujFM/P6Y58cQT1ZNPPtno5/Fib6677jrVpEkTtXr16mqPjxgxQomImjVrllLK2b1x6ucHsIWb/dLQrx0NRb/4g5v94vTO0C/+4Wa/OL039Avgf272S0PvAQ1Fv/iDm/3i9M7QL/7hZr84vTf0C+B/bvZLnz591Mknn6xKSkqqHissLFRNmjRRHTt2jPoa9Is/uNkvTu8M/eIfbvaL03tDvwD+52a//PDjSUlJKjU1VZ166qkxXYN+8Qc3++WHH2/sztAv/uFmv/zw443dG/rFSrt5Z1wDPPXUU3LRRRdJhw4dqh57/fXXpU+fPjJ69Oiqx9LS0mTUqFGydetW+fjjj6O6RkOfLz4+Xi6//HKZMmWK7N+/v5E/MrjFi53Zv3+/bNy4UVq1aiUDBw6s9fPYmeDwYm+WL18u/fr1k379+lV7PCcnR0REVq5cKSLsDWCCSPeUhn7taCj6xSxe7Az9Yh4v9oZ+AewR6Z7S0HtAQ9EvZvFiZ+gX83ixN/QLYI8f3lNKSkpk/fr1Mnr0aGnZsmXV56Wnp8vw4cNl7969UlFREdU16BezeLEz9It5vNgb+gWwR6TviY7ZsGGD3HPPPfLkk09Kp06dYr4G/WIWL3aGfjGPF3tDv9iJw7gBt2HDBtm6dav07t276rHi4mL59ttvZeTIkTU+/+STTxaRo2+F3VDRPl+vXr2krKxMFi1a1OBrwDte7IyIyKmnniqLFy+WxYsXy5tvvlnn57Iz/ufF3lRUVMioUaPktttuq/GxHTt2iIhIampq1WPsDRBcke4pItF97agP/WIWL3Ym2udjZ/zPi72hXwB7RLqnRHsPqA/9YhYvdkaEfjGNF3tDvwD2iHRPSUhIkCVLlsi9995b7XNLSkpk3bp1cuGFF0piYmKDr0G/mMWLnRGhX0zjxd7QL4A9avs9XRGRQ4cOyVVXXSXnnHOO3HHHHTFfg34xixc7I0K/mMaLvaFf7MVh3IDLy8sTEZHu3btXPfbFF1+IiEQ8nd+zZ08REdm9e3eDrxHt8x177N13323wNeAdL3YmWuyM/3mxN4mJifL888/LNddcU+3x3bt3y5///GdJTEyUMWPG1LgGewMET6R7itPoF7N4sTPRYmf8z4u9oV8Ae0S6p0R7D6gP/WIWL3YmWuyM/3mxN/QLYI9I95SUlBQ566yzqnrj2WeflbvuuksGDhwoR44ckUmTJkV1DfrFLF7sTLTYGf/zYm/oF8Aedf2e7oQJE2Tnzp3y+uuvSygUivka9ItZvNiZaLEz/ufF3tAv9krQPQAaZ9u2bSJS/QZRUFAgIpHfEeHEE08UEZF9+/Y1+BrRPt+xG8Tnn3/e4GvAO17sTLTYGf/TtTdz5syRG264QYqKiuTZZ5+VrKysqo+xN0BwRbqnOI1+MYsXOxMtdsb/dO0N/QKYqaH3lLruAfWhX8zixc5Ei53xP117Q78AZmrIPeX++++XAwcOiIjIaaedJsnJyVFdg34xixc7Ey12xv907Q39ApiptnvKnDlz5IUXXpB//etfjfor40XoF9N4sTPRYmf8T9fe0C924J1xA66oqEhEqt8gkpKSRERk7969NT6/rKxMRETatGnT4GtE+3xpaWnSunVr+eabbxp8DXjHi52JFjvjf17vzebNm+XSSy+V7Oxsadmypbz77rs1/goA9gYIrkj3FKfRL2bxYmeixc74n9d7Q78AZqvvntKQe0B96BezeLEz0WJn/M/rvaFfALM15HuisrIy2bhxo0yZMkX27NkjgwcPll27djX4GvSLWbzYmWixM/7n9d7QL4DZIt1Tvv76a8nJyZEbb7xRLrvsskZfg34xixc7Ey12xv+83hv6xS68M27AHTx4UESOvr31MR07dhQRkS1bttT4/GNB0b59+wZfI5bna9q0aYOfH97yYmdiwc74m5d7M336dLn11lslFArJ73//e7njjjuqvin6IfYGCKZI9xSn0S9m8WJnYsHO+JuXe0O/AOar654SzT2gLvSLWbzYmViwM/7m5d7QL4D5It1TlFKilJK4uO/fq6dHjx7So0cPiYuLk5///Ocyb948uf766xt0DfrFLF7sTCzYGX/zcm/oF8B8ke4pkydPluLiYikpKZGcnJyqxwsLC0UpJTk5OXLyySfLpEmTGnQN+sUsXuxMLNgZf/Nyb+gX+/DOuAF37K3zv/jii6rHTj75ZAmFQhHjYe3atSIiMnjw4AZfI9rnKysrk127drl+eBOx8WJnosXO+J9XezNnzhy59tprpU+fPrJ+/XqZMGFCrSHC3gDBFeme4jT6xSxe7Ey02Bn/82pv6BfADrXdU6K5B9SHfjGLFzsTLXbG/7zaG/oFsEOke8oTTzwh8fHxMm/evBqf365dOxER2bFjR4OvQb+YxYudiRY7439e7Q39Atgh0j2lffv20q9fP9m0aZOsWbOm6p/y8nI5dOiQrFmzRgoKChp8DfrFLF7sTLTYGf/zam/oFztxGDfgzjjjDBGpfoNIT0+Xc889V5YsWSKbN2+ueryiokLefPNNOeGEE6r+u4aI9vmOfc4JJ5wQ848L7vFiZ6LFzvifV3tz3333SatWreStt96Srl271vm57A0QXJHuKU6jX8zixc5Ei53xP6/2hn4B7FDbPSWae0B96BezeLEz0WJn/M+rvaFfADtEuqdkZWWJiEheXl6Nz//rX/8qIiJ9+/Zt8DXoF7N4sTPRYmf8z6u9oV8AO0S6p9x+++2yevXqGv+ceuqp0q1bN1m9erW8+uqrDb4G/WIWL3YmWuyM/3m1N/SLnRJ0D4DGGTZsmIhE/g3aSy65RMaPHy/333+/tGnTRp588knZsmWLzJkzR0KhkIiI/PGPf5QJEybIb37zG/nNb35T63Ua+nwi398gzj//fKd/uHCAVzsTDXbG/7zYm2+//VbWr18v/fv3l6effjri55x33nkyZswYEWFvgCCr7Z7SUPSLfbzamWiwM/7nxd7QL4A9It1TorkH0C/28WpnosHO+J8Xe0O/APaIdE+5+OKLJSsrS55//nlp3bq1jBo1SgoLC+Uf//iH5ObmysCBA6v+/6df7OPVzkSDnfE/L/aGfgHswZ8fIVr8+RFiwZ8fwU0cxg24Xr16SadOnWrcIC688EKZNm2a3HjjjTJu3DgREWndurU888wzMnr06KrPC4fDcuTIEVFK1Xmdhj6fyNGbVSgUqvE4/MGrnYkGO+N/XuzNsmXLRCkln376qXz66acRPycUClXFCHsDBFdt95SGol/s49XORIOd8T8v9oZ+AewR6Z4SzT2AfrGPVzsTDXbG/7zYG/oFsEeke0pcXJy8/fbbcvXVV8tDDz0kDz30UNXHxo4dK88995wkJBz9o0P6xT5e7Uw02Bn/82Jv6BfAHvz5EaLFnx8hFvz5EdzEYVwD3HLLLfL0009LaWmpNG/evOrxK6+8Ui6//HJZtWqVhMNhGTx4sMTHx1f7b++55x45dOiQdOvWrd7rNOT5RERmzpwpl112GW+d7WNe7cwx3bt3r/OLEDsTDG7vzZgxY6KKXPYGCLba7inH1PW1g36xk1c705DnE2FngsLtvaFfALv88J4SzT2AfrGTVztzDP1iBrf3hn4B7BLpe6Ju3brJ0qVLZevWrfL5559LcnKy9OzZs8b/5/SLnbzamWPoFzO4vTf0C2CX+n5P95hPPvmkxmP0i5282plj6BczuL039Iu94nQPgMa77bbbJDExUaZNm1bjYwkJCXLmmWfK0KFDI4ZDQUGBTJkyRc4+++wGXau+51u2bJmsW7dOHnzwweh/IPCMlztTH3YmONgbAE6q655SH/rFTl7uTH3YmeBgbwA4iX5BtPg6hFiwNwCcVNs9JS4uTk466SS55JJLZPjw4RH/wJd+sZOXO1MfdiY42BsATuL3XxAtvo9GLNgbuIXDuAZITU2Vp556Sn7/+99LRUVFVP/t5s2bJTc3V7p06eLILL/97W/l1ltvlT59+jjyfHAHO4NYsDcAnMQ9BdFiZxAL9gaAk7inIFrsDGLB3gBwEvcURIudQSzYGwBO4p6CaLEziAV7A7dwGNcQOTk5MmTIEFm0aFFU/92oUaOkV69ejsywbds2KSkpkccee8yR54O72BnEgr0B4CTuKYgWO4NYsDcAnMQ9BdFiZxAL9gaAk7inIFrsDGLB3gBwEvcURIudQSzYG7ghQfcAcM6bb76p9foZGRmybNkyrTMgOuwMYsHeAHAS9xREi51BLNgbAE7inoJosTOIBXsDwEncUxAtdgaxYG8AOIl7CqLFziAW7A2cxjvjAgAAAAAAAAAAAAAAAAAAADHiMC4AAAAAAAAAAAAAAAAAAAAQIw7jAgAAAAAAAAAAAAAAAAAAADHiMC4AAAAAAAAAAAAAAAAAAAAQIw7jAgAAAAAAAAAAAAAAAAAAADHiMC4AAAAAAAAAAAAAAAAAAAAQIw7jAgAAAAAAAAAAAAAAAAAAADHiMC4AAAAAAAAAAAAAAAAAAAAQIw7jAgAAAAAAAAAAAAAAAAAAADHiMC4AAAAAAAAAAAAAAAAAAAAQowTdA9hu48aNMmrUKE+vWVFRIYmJiZ5eMxYbN26Udu3a6R7Dl6677jpJTk7WPYaIiBw6dEiaNm2qewwREfnuu+90j+Bbr776qixatEj3GPXScX/65ptvPL0eYAL6pXb0S+3ol8jol9rRL7WjX4Do0S+1o19qR79ERr/Ujn6pHf0CRI9+qR39Ujv6JTL6pXb0S+3oFyB69Evt6Jfa0S+R0S+1o19qR7/ox2FcjQYNGiR79+719JpHjhyRxYsXy/Dhwz29biw6d+4smZmZusfwlfbt28v111+ve4wqSilZuHChXHTRRbpHqdKrVy9p0aKF7jF85Sc/+YkUFxfrHqNB8vLyZOTIkRIKhTy75k9/+lPp06ePZ9cDgo5+qRv9UhP9Uj/6pSb6pW70CxAd+qVu9EtN9Ev96Jea6Je60S9AdOiXutEvNdEv9aNfaqJf6ka/ANGhX+pGv9REv9SPfqmJfqkb/aJfSCmldA8B79x+++0ya9YsTsLDEYsWLZKRI0fKmjVrpG/fvrrHgQESExPlgQcekN/85je6RwHgI/QLnES/wGn0C4BI6Bc4iX6B0+gXAJHQL3AS/QKn0S8AIqFf4CT6BU6jX6xUFKd7Anhn3rx58uc//1n279+vexQYYsaMGSIi8ve//13zJDDBoUOHpLKyUh566CH54IMPdI8DwCfoFziNfoGT6BcAkdAvcBr9AifRLwAioV/gNPoFTqJfAERCv8Bp9AucRL/Yi3fGtURhYaH07t1bSkpKROTo2/V7+TbYME95ebm0b99e9u/fL+np6fLVV1+xU2iUPXv2SLt27SQUCknHjh1lw4YN0qZNG91jAdCIfoHT6Bc4jX4B8EP0C5xGv8Bp9AuAH6Jf4DT6BU6jXwD8EP0Cp9EvcBr9Yi3eGdcG4XBYfvazn0lZWZkopUQpJQcPHtQ9FgJu/vz5UlpaKiIiO3fulOXLl2ueCEF3bJ+UUlJcXCw5OTmaJwKgE/0CN9AvcBr9AuB49AvcQL/AafQLgOPRL3AD/QKn0S8Ajke/wA30C5xGv9iLw7gWePzxx+XDDz+UioqKqsfKyso0TgQTzJgxQxISEkREJDExUf72t79pnghBd/x9qaKiQmbPni0vv/yyxokA6ES/wA30C5xGvwA4Hv0CN9AvcBr9AuB49AvcQL/AafQLgOPRL3AD/QKn0S/2CimllO4h4J6VK1fK0KFD5ciRI9Ue37p1q2RkZOgZCoG3f/9+ad++vZSXl1c91rp1aykqKqoKFCBaK1eulMGDB1d7rEmTJpKfny99+vTRNBUAHegXuIF+gRvoFwDH0C9wA/0CN9AvAI6hX+AG+gVuoF8AHEO/wA30C9xAv1iriHfGNVhJSYmMGzdOQqFQjY8deztsIBZvv/12tVeaiYjs27dP3nvvPU0TwQSRXrEYDofliiuu4K8WASxCv8At9AvcQL8AEKFf4B76BW6gXwCI0C9wD/0CN9AvAEToF7iHfoEb6Bd7cRjXYDfffLPs2rVLKisra3yMt+lHY0yfPr1G5CYmJsqbb76paSKYINI3SZWVlbJlyxb51a9+pWEiADrQL3AL/QI30C8AROgXuId+gRvoFwAi9AvcQ7/ADfQLABH6Be6hX+AG+sVeHMY11CuvvCKzZs2KGCIivDIIsSsuLpZFixbV+KsfKioq5K233uIVHIhZWVlZxFcyVlZWyuTJk+Xtt9/WMBUAL9EvcAv9ArfQLwDoF7iFfoFb6BcA9AvcQr/ALfQLAPoFbqFf4Bb6xV4cxjXQpk2b5I477hClVK2fwyuDEKtZs2bV+rHy8nKZO3euh9PAJKWlpRIfHx/xY6FQSK699lrZvn27x1MB8Ar9AjfRL3AL/QLYjX6Bm+gXuIV+AexGv8BN9AvcQr8AdqNf4Cb6BW6hX+zFYVzDlJeXy9ixY2t9RZCISFxcHK8MQsymTp1aa+jGxcXJ9OnTPZ4IpigrK5O4uMhflsLhsBw6dEiuvPLKGq9KAxB89AvcRr/ALfQLYC/6BW6jX+AW+gWwF/0Ct9EvcAv9AtiLfoHb6Be4hX6xF4dxDTNhwgRZv369VFRU1Po58fHxvDIIMdmxY4esXLlSwuFwxI9XVlbKvHnzZN++fR5PBhPU9jb9x1RUVMhHH30kjz/+uIdTAfAC/QI30S9wE/0C2It+gZvoF7iJfgHsRb/ATfQL3ES/APaiX+Am+gVuol/sxWFcg1RUVEjbtm2lT58+EgqFJCEhIeJbXodCIV4ZhJi8+eabtb6N+jHhcFj+/e9/ezQRTFLbfSkuLk7i4uIkFArJ6aefLklJSbUGMYDgoV/gNvoFbqJfADvRL3Ab/QI30S+AnegXuI1+gZvoF8BO9AvcRr/ATfSLvTiMa5DExER58MEHZe3atbJjxw554YUXpGXLlhIfHy+hUEiaNGkiIiJKKV4ZhJjMmDFDwuGwJCUlSVJSkjRp0kQSExOr/v3YF4kZM2boHhUBVFZWVvUW/AkJCSJy9JWMaWlp8sorr8iuXbvkk08+kYkTJ9b6dv4Agod+gdvoF7iJfgHsRL/AbfQL3ES/AHaiX+A2+gVuol8AO9EvcBv9AjfRL/ZK0D0A3HHCCSfIFVdcIbfddptMmzZNUlJSJDc3V95++20pLi7mlUGI2qFDh+RnP/tZtce++uoreeGFF2TixImSmppa9Xh8fLyEw2G+YCAqpaWlUllZKZ06dZLLLrtMLr30Utm0aZNMmjRJrrrqKmnatKnuEQG4jH6B0+gXuI1+AUC/wGn0C9xGvwCgX+A0+gVuo18A0C9wGv0Ct9Ev9goppZTuIeCOadOmyU033SRFRUXSokULETn6qqBVq1ZJWVmZnHfeeXoHRODl5+fLoEGDZMuWLZKZmal7HATcwoULpWPHjtK3b9+qx3bu3CmdO3eW+fPny6hRozROB8Ar9AvcRr/ASfQLABH6Be6jX+Ak+gWACP0C99EvcBL9AkCEfoH76Bc4iX6xVhHvjGuw3NxcOe+886pCREQkFArJwIEDNU4FAJFFio309HTp16+f5ObmEiOAJegXAEFCvwAQoV8ABAv9AkCEfgEQLPQLABH6BUCw0C/24j20DVVRUSF5eXkyZswY3aMAQKNkZ2dLbm6u8EbugPnoFwCmoF8Ae9AvAExBvwD2oF8AmIJ+AexBvwAwBf1iPg7jGmrx4sWyb98+ueSSS3SPAgCNMmbMGNm+fbt89tlnukcB4DL6BYAp6BfAHvQLAFPQL4A96BcApqBfAHvQLwBMQb+Yj8O4hsrNzZWsrCzJzMzUPQoANMqAAQPkhBNOkNzcXN2jAHAZ/QLAFPQLYA/6BYAp6BfAHvQLAFPQL4A96BcApqBfzMdhXEPNmzdPsrOzdY8BAI0WCoVk9OjRxAhgAfoFgCnoF8Ae9AsAU9AvgD3oFwCmoF8Ae9AvAExBv5iPw7gG2rBhgxQUFBAjAIyRnZ0t+fn5smvXLt2jAHAJ/QLANPQLYD76BYBp6BfAfPQLANPQL4D56BcApqFfzMZhXAPl5uZKhw4dZNCgQbpHAQBHXHDBBdK0aVOZN2+e7lEAuIR+AWAa+gUwH/0CwDT0C2A++gWAaegXwHz0CwDT0C9m4zCugebMmSOXXHKJxMXxywvADMnJyXL++efzVv2AwegXAKahXwDz0S8ATEO/AOajXwCYhn4BzEe/ADAN/WI2vloZZs+ePbJixQreoh+AcbKzsyUvL08OHTqkexQADqNfAJiKfgHMRb8AMBX9ApiLfgFgKvoFMBf9AsBU9Iu5OIxrmLlz50pCQoKMHDlS9ygA4Kjs7Gw5cOCA/Oc//9E9CgCH0S8ATEW/AOaiXwCYin4BzEW/ADAV/QKYi34BYCr6xVwcxjVMbm6unH/++dKiRQvdowCAo9LT06V///68VT9gIPoFgKnoF8Bc9AsAU9EvgLnoFwCmol8Ac9EvAExFv5iLw7gGqaiokLy8PN6iH4CxsrOzZc6cOaKU0j0KAIfQLwBMR78A5qFfAJiOfgHMQ78AMB39ApiHfgFgOvrFTBzGNcgHH3wgJSUlcvHFF+seBQBckZ2dLTt27JC1a9fqHgWAQ+gXAKajXwDz0C8ATEe/AOahXwCYjn4BzEO/ADAd/WImDuMaJDc3V/r27SsZGRm6RwEAV5x++unSuXNn3qofMAj9AsB09AtgHvoFgOnoF8A89AsA09EvgHnoFwCmo1/MxGFcg8yZM4e36AdgtFAoJBdffDExAhiEfgFgOvoFMA/9AsB09AtgHvoFgOnoF8A89AsA09EvZuIwriHWr18vW7duJUYAGC87O1tWrVolhYWFukcB0Ej0CwBb0C+AOegXALagXwBz0C8AbEG/AOagXwDYgn4xD4dxDZGbmysdOnSQAQMG6B4FAFw1YsQISU5Olvnz5+seBUAj0S8AbEG/AOagXwDYgn4BzEG/ALAF/QKYg34BYAv6xTwcxjVEbm6ujBkzRuLi+CUFYLbk5GQZMWKEzJkzR/coABqJfgFgC/oFMAf9AsAW9AtgDvoFgC3oF8Ac9AsAW9Av5uErlwGKiopk5cqVvEU/AGtkZ2dLXl6eHDhwQPcoAGJEvwCwDf0CBB/9AsA29AsQfPQLANvQL0Dw0S8AbEO/mIXDuAaYO3euJCQkyIgRI3SPAgCeGDNmjBw8eFA++OAD3aMAiBH9AsA29AsQfPQLANvQL0Dw0S8AbEO/AMFHvwCwDf1iFg7jGiA3N1eGDx8uLVq00D0KAHiiU6dOcsYZZ0hubq7uUQDEiH4BYBv6BQg++gWAbegXIPjoFwC2oV+A4KNfANiGfjELh3EDrry8XPLy8niLfgDWyc7OltmzZ4tSSvcoAKJEvwCwFf0CBBf9AsBW9AsQXPQLAFvRL0Bw0S8AbEW/mIPDuAH3wQcfyP79++Xiiy/WPQoAeCo7O1t27twpa9as0T0KgCjRLwBsRb8AwUW/ALAV/QIEF/0CwFb0CxBc9AsAW9Ev5uAwbsDl5uZKv3795MQTT9Q9CgB4ql+/ftK5c2feqh8IIPoFgK3oFyC46BcAtqJfgOCiXwDYin4Bgot+AWAr+sUcHMYNuLlz5/IW/QCsFAqFZMyYMcQIEED0CwBb0S9AcNEvAGxFvwDBRb8AsBX9AgQX/QLAVvSLOTiMG2CfffaZbNu2jRgBYK3s7Gz55JNPpLCwUPcoABqIfgFg4Yrz+AAAIABJREFUO/oFCB76BYDt6BcgeOgXALajX4DgoV8A2I5+MQOHcQMsNzdX0tLS5IwzztA9CgBoMWLECElJSZF58+bpHgVAA9EvAGxHvwDBQ78AsB39AgQP/QLAdvQLEDz0CwDb0S9m4DBugOXm5kp2drbExfHLCMBOSUlJMmLECN6qHwgQ+gWA7egXIHjoFwC2o1+A4KFfANiOfgGCh34BYDv6xQx8FQuo3bt3y8qVK3mLfgDWy87Olvfee08OHDigexQA9aBfAOAo+gUIDvoFAI6iX4DgoF8A4Cj6BQgO+gUAjqJfgo/DuAE1d+7cqhPxAGCz7OxsKS8vl/fff1/3KADqQb8AwFH0CxAc9AsAHEW/AMFBvwDAUfQLEBz0CwAcRb8EX0gppXQPESTffvutbNu2TbZv3y579uyRPXv2SFFRkZSUlMj+/fulsrJSwuGwlJSUSGJiojRv3lxERFJSUiQlJUXatm1b9U/Hjh0lIyNDunTpIk2aNIlqjrFjx8rhw4dlzpw5bvwwYblwOCxff/21bN26VXbu3CnFxcVV+15WViYlJSUiIvLdd9/J9u3bpVu3btKsWTMREWndurU0b968as/bt28v6enpkpGRIZ06ddL5w4LBBg8eLP369ZOXXnopqv+uvLxcvvzyS9m6davs3r1b9u7dW7XrpaWlcvDgQRGRqvt769atJRQKVd3fU1NTq3a9Xbt2kpGRIRkZGdKiRQs3fphAzOgX2IB+QdDQL0Dd6BfYgH5B0NAvQN3oF9iAfkHQ0C9A3egX2IB+QdDQL4FWxGHcWhQWFsq6deuq/vnvf/8rW7durboJi0jVDbd9+/bSunVradWqlcTFxUkoFJLWrVvL4cOHpaysTEREDh48KN99913Vku/Zs0cqKipERCQ+Pl7S09Ole/fukpWVJVlZWdK3b1/p3bu3JCcn15itvLxc2rdvL0899ZTcfPPN3vyEwEiVlZWycePGaru+ceNG2b59u5SXl4uISCgUqhbRLVu2rLrRJiUlSbNmzaS0tLRqn4+F+Z49e6S4uFj27t1bdb2mTZtKRkaGnHLKKZKVlSV9+vSRPn36SPfu3SUujjfqRuwee+wxefHFF6WwsFBCoVCNj+/fv18+++wz+eyzz2Tt2rWyYcMGKSgokK+//lqOfRlMSkqqsetJSUkicvR+n5iYKN9++62IiBw5cqTGPf3Y/V5EpG3btpKZmSmnnXZa1T29T58+0qFDBw9+NmAz+gU2oF9gCvoFOIp+gQ3oF5iCfgGOol9gA/oFpqBfgKPoF9iAfoEp6JdA4zCuyNFXQaxZs0aWLl0qy5cvl2XLlslXX30lIiKdO3euCoTMzEzJyMiQzMxMOfHEE6Vp06aNum5RUZFs27at6p9jXxQ2bNggZWVlkpiYKP3795ehQ4fKWWedJeecc46kpaXJggUL5OKLL5bt27dL586dnfgpgCVKS0tl2bJlVXv+8ccfS2lpqSQkJEjPnj0lKytLevXqVbXnGRkZkp6e3qhQqKyslMLCQtm2bZts3bpVtm7dKv/73/9k3bp1UlBQIEeOHJHWrVvLkCFDZOjQoXL22WfL4MGDI4Y4UJu1a9dKv379ZNWqVXLGGWfIjh07ZMmSJfLRRx/J0qVLZf369XLkyBFp2bJl1T29R48eVa/kycjIkNTU1EbNcPDgwaod37Ztm2zZsqUqgHbt2iUiIt26dZOzzjqratdPO+20iPEENAT9AlvQLzAV/QIb0S+wBf0CU9EvsBH9AlvQLzAV/QIb0S+wBf0CU9EvgWbvYdyioiJ59913Zf78+fLuu+9KUVGRpKamVt0QhwwZIv369ZM2bdp4Pls4HJYtW7ZIfn5+1f9I69atk3A4LP3795c2bdpIYWGhfPbZZ5KQkOD5fAiWDRs2yPz582XBggXy4YcfyuHDh6V79+5VkTtw4EA57bTTov6rIpxw8OBB2bBhg6xYsUKWL18uS5culR07dkizZs1k2LBhMnr0aBk9erR0797d89kQLIcOHZKTTjpJ+vTpI9u3b5f//ve/kpiYKGeccYYMGTJEzj77bOnfv79kZmZqma+oqEhWr14tH330kSxbtkxWrFgh+/fvl/T0dLnoootk9OjRMnLkSGndurWW+RAc9AtsQb/ABvQLbEG/wBb0C2xAv8AW9AtsQb/ABvQLbEG/wBb0C2xAvwSaXYdxi4qK5J///KfMmjVLlixZIvHx8XL22WfL6NGjZdSoUdK7d2/fntAuLS2VxYsXy/z582X+/PmyZcsWadeunYwdO1Z+8pOfyLBhwyQ+Pl73mPCJdevWyaxZs2TWrFmyadMmadeunVx44YUyevRoueCCCyQtLU33iLXasWOHLFy4UBYsWCDvvfeelJSUSFZWlowfP17Gjx8vJ598su4R4ROHDx+WvLw8mTVrlrzzzjtSUlIivXr1ktGjR8tFF10kZ511lm9fYXbkyBFZvXq1LFiwQObPny8ff/yxxMXFyQUXXCDjx4+XH/3oR7aGCSKgX2AL+gU2oF9gC/oFtqBfYAP6BbagX2AL+gU2oF9gC/oFtqBfYAP6xRhFogxXXl6uZs2apUaNGqXi4+NVs2bN1Pjx49U//vEP9d133+keL2ZffPGF+t3vfqf69++vRESlpaWpu+66S23YsEH3aNBk165d6sknn1SnnHKKEhHVtWtXdffdd6vly5eryspK3ePFpKKiQr3//vvql7/8pUpLS1Miovr376+ee+45tXfvXt3jQZNVq1apm2++WbVp00aFQiE1ZMgQ9cc//lFt27ZN92gx27Nnj5o2bZrKzs5WSUlJKikpSf34xz9Wc+bMCez/v2gc+gW2oF9gC/oFNqBfYAv6BbagX2AD+gW2oF9gC/oFNqBfYAv6BbagX4yz29jDuAUFBWrixImqQ4cOKj4+Xl1yySVq5syZqqysTPdojtu4caN65JFHVLdu3ZSIqLPPPlu98cYb6tChQ7pHg8vC4bDKy8tTl19+uWrSpIlq06aNuu2229Ty5ctVOBzWPZ6jKisr1aJFi9QNN9ygmjdvrpKTk9U111yjli1bpns0eKC0tFRNnjxZnX766UpEVK9evdQf/vAH9eWXX+oezXH79u1Tr7/+ujr//PNVKBRSXbp0UQ8++KAqLCzUPRo8QL/QLzagX+gXW9Av9Ist6Bf6xQb0C/1iC/qFfrEF/UK/2IB+oV9sQb/QL7agX+gXG9Av9Ist6Bej+8W8w7jLli1T48aNU/Hx8apLly7qoYceUtu3b9c9lieOHDmi3n33XXXFFVeoJk2aqI4dO6rHHntMFRcX6x4NDisvL1evvfaaysrKqhagBw4c0D2aJ7777jv10ksvqQEDBigRUYMHD1azZs2y4RUU1iksLFSTJk1SqampKjk5WV177bXqww8/1D2WZzZt2qTuvfdelZaWppo0aaKuvfZatWbNGt1jwQX0C/1iA/qFfrEF/UK/2IJ+oV9sQL/QL7agX+gXW9Av9IsN6Bf6xRb0C/1iC/qFfrEB/UK/2IJ+saJfzDmMO2/ePDVkyBAlImrQoEFq5syZVt+Ydu7cqX7961+rNm3aqJSUFHXHHXeonTt36h4LjVRWVqaeeuop1alTJ5WYmKiuueYatXr1at1jabV8+XI1duxYFRcXpzIzM9Vf/vIXdfjwYd1joZE2b96scnJyqr6xevTRR63+xurYNyC9e/dWIqIuuOACtXTpUt1jwQH0S3X0i5nol5roFzPRL9XRL+aiX6qjX8xEv9REv5iJfqmOfjEX/VId/WIm+qUm+sVM9Et19Iu56Jfq6Bcz0S810S9mol+qM7xfgn8Yd9GiRWro0KFKRNSYMWOsOjHeEPv371d/+tOf1AknnKCSk5PV3XffrXbv3q17LETp0KFD6k9/+pPq2LGjSklJURMmTFA7duzQPZavFBQUqFtvvVU1adJEZWZmqilTpqiKigrdYyFKX375pbrppptUYmKi6tGjh3rllVf4K0eOEw6H1YIFC9S5556rRESNGjVKffzxx7rHQgzol7rRL2agX+pHv5iBfqkb/WIO+qVu9IsZ6Jf60S9moF/qRr+Yg36pG/1iBvqlfvSLGeiXutEv5qBf6ka/mIF+qR/9Ygb6pW6G9ktwD+OuXbtWjRgxQomIuvDCC9WKFSt0j+RrBw8eVM8++6zq2LGjat68uXrkkUeseUv3IAuHw2r69OmqS5cuKjk5Wd11113qm2++0T2Wrx3/xaxnz55q9uzZukdCA+zbt0/dc889KikpSWVkZBCTDZCXl1f1itixY8eqgoIC3SOhAeiX6NAvwUS/RI9+CSb6JXr0SzDRL9GhX4KJfoke/RJM9Ev06Jdgol+iQ78EE/0SPfolmOiX6NEvwUS/RId+CSb6JXr0SzDRL9EzqF+Cdxh39+7d6pZbblHx8fFq0KBBasmSJbpHCpSysjL1+OOPqxYtWqiuXbuqv/3tbyocDuseCxGsWLFCnXnmmSo+Pl7ddNNNqrCwUPdIgbJ582Y1fvx4FQqF1AUXXKDWr1+veyREUFlZqf7yl7+o9u3bq3bt2qk///nPqry8XPdYgTJnzhx16qmnqqSkJHXvvfeqkpIS3SMhAvqlceiX4KBfGod+CQb6pfHol2CgXxqHfgkO+qVx6JdgoF8aj34JBvqlceiX4KBfGod+CQb6pfHol2CgXxqHfgkO+qVx6JdgoF8az4B+Cc5h3HA4rF566SXVunVrlZ6ert544w2+iDbCzp07VU5OjoqLi1Pnnnuu+uKLL3SPhP+zd+9edcMNN6hQKKTOO+88tXr1at0jBdqSJUvU6aefrhISEtQ999yjysrKdI+E//PJJ5+o/v37q8TERHXXXXepb7/9VvdIgVVRUaGee+45lZqaqjp27KhmzZqleyT8H/rFWfSLf9EvzqJf/It+cQ794l/0i7PoF/+iX5xFv/gX/eIc+sW/6Bdn0S/+Rb84i37xL/rFOfSLf9EvzqJf/It+cRb94l/0i3MC3i/BOIy7ceNGNWzYMJWQkKAmTJigSktLdY9kjPz8fNW/f3/VtGlT9fjjj6vDhw/rHslqb731lurUqZPq2LGjmjlzpu5xjHHkyJGqb2a6deum3nvvPd0jWe3AgQNqwoQJKiEhQQ0bNkx9/vnnukcyRnFxcdU3Mz/60Y94RaFm9It76Bd/oV/cQb/4C/3iHvrFX+gX99Av/kK/uIN+8Rf6xT30i7/QL+6hX/yFfnEH/eIv9It76Bd/oV/cQ7/4C/3iDvrFX+gX9wS0X/x9GDccDqunn35aJScnq379+qlVq1bpHslIFRUV6sknn6z6eebtzL1XXFysxo0bp0KhkLr++uvV3r17dY9kpJ07d6qxY8eqUCikbrrpJr6x0WD58uWqe/fuqlWrVuqll17iFZ4uef/996t+nt944w3d41iHfvEG/aIf/eIN+kU/+sUb9Ite9Is36Bf96Bdv0C/60S/eoF/0ol+8Qb/oR794g37Rj37xBv2iF/3iDfpFP/rFG/SLfvSLNwLWL/49jFtYWKguuOAClZiYqB577DFVUVGheyTjbdq0SQ0dOlQlJyer559/npuER/Ly8lR6errq0qULr1jxyFtvvaXatWunevTooVauXKl7HCtUVFSohx56SCUkJKjRo0cH5RUrgXbgwAF19913q1AopMaPH883OR6hX7xHv+hBv3iPfvEe/eI9+kUP+sV79Ise9Iv36Bfv0S/eo1/0oF+8R7/oQb94j37xHv3iPfpFD/rFe/SLHvSL9+gX79Ev3gtQv/jzMO4777yj2rZty41Cg+NvGBdffLEqKirSPZKxDh8+rO65554g3CiMdPw3PL/73e+Ibxdt27ZNDRkyRCUnJ6vnnnuOn2uPHf8Nz5IlS3SPYzT6RR/6xTv0i170i3foF73oF+/QL/rQL96hX/SiX7xDv+hFv3iHftGHfvEO/aIX/eId+kUv+sU79Is+9It36Be96Bfv0C96BaBf/HUYt7KyUt1///1Vb1XOW2jrs3z5cnXiiSeqrl27qvz8fN3jGOfrr79W55xzjkpJSVGvv/667nGsdeyvAklMTFSXXnqp2rdvn+6RjJOXl6fatWunevfuzV8BolFxcbG69NJLVWJionr22Wd1j2Mc+sU/6Bd30S/+QL+4j37xB/rFXfSLf9Av7qJf/IF+cR/94g/0i7voF/+gX9xFv/gD/eI++sUf6Bd30S/+Qb+4i37xB/rFffSLP/i8X/xzGHfPnj1q1KhRKikpSb388su6x4E6urzHfk1eeukl3eMYIz8/X3Xt2lV1795drVu3Tvc4UEotXbpUpaen82vioHA4rJ599lmVkJCgrrzySr659IFwOKyeeOIJFR8fz6+Jg+gX/6Ff3EG/+A/94jz6xX/oF3fQL/5Dv7iDfvEf+sV59Iv/0C/uoF/8h35xB/3iP/SL8+gX/6Ff3EG/+A/94g76xX/oF+fRL/7j437xx2HcgoIC1bNnT9W5c2e1YsUK3ePgOMeWNy4uTv3iF79QFRUVukcKtJkzZ6qmTZuqSy65hLfl95ndu3er4cOHq5SUFDV79mzd4wRaeXm5uvrqq1VCQoJ64okndI+DH/jPf/6jOnTooLKystT27dt1jxNo9It/0S/Ool/8i35xDv3ib/SLc+gX/6JfnEW/+Bf94hz6xd/oF+fQL/5FvziLfvEv+sU59Iu/0S/OoV/8i35xFv3iX/SLc+gXf/Nhv+g/jPvhhx+qtm3bqsGDB6tvvvlG9zioxd///nfVtGlT9aMf/UiVlZXpHidwwuGwevjhh1UoFFL33nuvCofDukdCBIcPH1Y5OTkqPj5evfjii7rHCaQ9e/aoc889V7Vq1Url5eXpHge12Lx5szrllFNUly5deDVcjOiXYKBfGod+CQb6pfHol2CgXxqPfgkG+qVx6JdgoF8aj34JBvql8eiXYKBfGod+CQb6pfHol2CgXxqPfgkG+qVx6JdgoF8aj34JBp/1i97DuDNnzlRJSUnqsssu4wtcACxdulS1a9dODRw4UO3evVv3OIFRUVGhfv7zn6uEhAT+uoOAePTRR1UoFFITJ04kHKOwdetW1bNnT9W1a1f12Wef6R4H9dizZ48aNmyYatmypXrvvfd0jxMo9Euw0C+xoV+Ch36JDf0SLPRL7OiXYKFfYkO/BA/9Ehv6JVjol9jRL8FCv8SGfgke+iU29Euw0C+xo1+ChX6JDf0SPPRLbOiXYPFRv+g7jPvqq6+q+Ph4deedd6ojR47oGgNR2rRpkzrppJPUqaeeqgoLC3WP43vl5eVq7NixKiUlRc2bN0/3OIjCtGnTVGJiorrpppu4RzXAF198obp06aL69eundu7cqXscNNChQ4fUVVddpZKSktQ777yje5xAoF+CiX6JDv0SXPRLdOiXYKJfoke/BBP9Eh36Jbjol+jQL8FEv0SPfgkm+iU69Etw0S/RoV+CiX6JHv0STPRLdOiX4KJfokO/BJNP+kXPYdzJkyeruLg4de+99+q4PBrp66+/VllZWSojI0MVFBToHse3Dh06pC699FLVvHlz9f777+seBzGYM2eOatq0qbryyivV4cOHdY/jW//9739Venq6GjBggCouLtY9DqIUDofV7bffruLj49Ubb7yhexxfo1+CjX5pGPol+OiXhqFfgo1+aTj6Jdjol4ahX4KPfmkY+iXY6JeGo1+CjX5pGPol+OiXhqFfgo1+aTj6Jdjol4ahX4KPfmkY+iXYfNAv3h/GfeaZZ1QoFFJPPPGE15eGg3bv3q369eunOnfurDZv3qx7HN85cOCAGjFihEpNTVX5+fm6x0Ej5OXlqZSUFDVu3DhVUVGhexzfWbt2rWrbtq0aNmyY+u6773SPgxiFw2F11113qfj4eDV16lTd4/gS/WIG+qVu9Is56Je60S9moF/qR7+YgX6pG/1iDvqlbvSLGeiX+tEvZqBf6ka/mIN+qRv9Ygb6pX70ixnol7rRL+agX+pGv5hBc794exh38uTJKhQKqWeeecbLy8Ile/fuVaeffrrKzMxUO3bs0D2Ob5SXl6vRo0er1NRUtWbNGt3jwAGLFy9WzZo1U1dffTVv2X+c//3vf6pDhw5q+PDh6sCBA7rHgQMmTpyoEhIS1FtvvaV7FF+hX8xCv0RGv5iHfomMfjEP/RIZ/WIW+iUy+sU89Etk9It56JfI6Bez0C+R0S/moV8io1/MQ79ERr+YhX6JjH4xD/0SGf1iHk394t1h3KlTp6q4uDj12GOPeXVJeKCoqEiddtppqkePHurrr7/WPY52lZWV6ic/+Ylq2bKlWrlype5x4KC8vDzVtGlTlZOTo8LhsO5xtPvyyy/ViSeeqM4880xeEWSYu+++WyUmJqo5c+boHsUX6Bcz0S/V0S/mol+qo1/MRb9UR7+YiX6pjn4xF/1SHf1iLvqlOvrFTPRLdfSLueiX6ugXc9Ev1dEvZqJfqqNfzEW/VEe/mEtDv3hzGHf27NkqPj5eTZo0yYvLwWM7d+5U3bt3V/3791f79+/XPY5WOTk5KiUlRX344Ye6R4EL3n77bZWYmKjuu+8+3aNo9c0336hu3bqpM844Q+3bt0/3OHBYOBxWOTk5Kjk5WS1fvlz3OFrRL2ajX75Hv5iNfjmKfjEb/fI9+sVs9Mv36Bez0S9H0S9mo1++R7+YjX75Hv1iNvrlKPrFbPTL9+gXs9Ev36NfzEa/HEW/mE1Dv7h/GHfVqlUqJSVF3XjjjW5fChpt2bJFpaWlqYsvvlhVVFToHkeLRx55RCUkJKi5c+fqHgUueu2111QoFFJ//etfdY+ixYEDB9TgwYPVSSedpHbv3q17HLiksrJSZWdnq/bt26uCggLd42hBv9iBfqFfbEG/0C82oF/oF1vQL/SLLegX+sUG9Av9Ygv6hX6xBf1Cv9iAfqFfbEG/0C+2oF/oFxt43C/uHsb96quvVOfOndX555+vysvL3bwUfCA/P9/a8Pzb3/6mQqGQeuGFF3SPAg888MADKiEhQS1YsED3KJ46cuSIGjt2rEpNTVWff/657nHgMpvDk36xC/1Cv9iCfqFfbEC/0C+2oF/oF1vQL/SLDegX+sUW9Av9Ygv6hX6xAf1Cv9iCfqFfbEG/0C828LBf3DuMW1paqvr06aOysrJUSUmJW5eBz/zrX/9ScXFx6rnnntM9imc++ugjlZSUpH71q1/pHgUeCYfD6uqrr1YtW7a06ovypEmTVFJSklqyZInuUeCRnTt3qq5du6rzzz/fmld90i92ol9gA/qFfrEF/UK/2IJ+gQ3oF/rFFvQL/WIL+gU2oF/oF1vQL/SLLegX2IB+oV9s4VG/uHcY99prr1Wpqalq8+bNbl0CPvXoo4+qxMREtXjxYt2juG7Xrl2qc+fO6oILLlCVlZW6x4GHDh8+rM466yzVs2dPK77hevvtt1UoFFKvvPKK7lHgsbVr16pmzZpZ8w0X/WIv+gU2oF9gC/oFtqBfYAP6BbagX2AL+gU2oF9gC/oFtqBfYAP6BbbwoF/cOYz7zDPPqLi4ODV//nw3nh4+Fw6H1bhx41RaWpr66quvdI/jmoqKCjVs2DCVkZGhiouLdY8DDbZv3646dOigfvzjH6twOKx7HNd88cUXqlWrVuqWW27RPQo0mT59ugqFQmrmzJm6R3EV/WI3+gW2oF9gC/oFNqBfYAv6BbagX2AD+gW2oF9gC/oFNqBfYAv6BbZwuV92h5RSShy0YsUKOffcc+Xhhx+WSZMmOfnUCJCSkhIZOHCgpKeny6JFiyQ+Pl73SI779a9/Lc8//7x89NFH0qdPH93jQJP3339fRo0aJU8//bTccccdusdx3MGDB2XgwIHSvHlzWbx4sSQlJekeCZrcdtttMnXqVPnkk0+kR48eusdxHP0CEfoF9qBfYAv6BTagX2AL+gW2oF9gA/oFtqBfYAv6BTagX2AL+gW2cLFfihw9jLt//37p37+/9OjRQ+bNmyehUMipp0YArVmzRs4880x58MEHjQvT//znPzJy5Eh5+eWX5YYbbtA9DjR75JFH5He/+53k5+dL7969dY/jqNtuu01mzJgha9eula5du+oeBxodPnxYhgwZIgkJCbJ06VJJTEzUPZJj6Bccj36BLegX2IB+gS3oF9iCfoEN6BfYgn6BLegX2IB+gS3oF9iCfoENXOwXZw/j/vznP5e5c+fKunXrpFOnTk49LQLs6aefll//+teydOlSGTx4sO5xHLFv3z7p27evnH766fLvf/9b9zjwgXA4LMOHD5fi4mLJz8+X5ORk3SM5YuHChTJ69GiZMWOGXHXVVbrHgQ8UFBRI//795f/9v/8njz76qO5xHEO/4IfoF9iAfoEt6BfYgn6BDegX2IJ+gS3oF9iAfoEt6BfYgn6BDegX2MKlfnHuMO4///lPueKKK+Sdd96R7OxsJ54SBlBKyahRo+TL/8/enYZXWZ773/9lIASQMUCUgMwIyKQMDgFECgLSAqKigjhQcMJu0Yq2u93WVq34R0XR3S1ORUVlcKoKaEVBCwhUpjDIJCCKqMxDgADJ9bzIEyqShEz3uta6z+/nOPrCEO7rjD278qXHtcLXX2vZsmWheJG+5ppr9K9//UvLly9XSkqK73EQJTZv3qx27dpp2LBhevzxx32PU2o7duxQq1at1LNnT73yyiu+x0EUmTBhgkaOHKlPP/1U6enpvscpNfoF+aFfYAX9AivoF1hAv8AK+gVW0C+wgH6BFfQLrKBfYAH9AivoF1gRQL+UzWXcXbt26eyzz1bfvn31/PPPl8VgCJHvvvtOLVu21M0336xHHnnE9zil8o9//EMDBgzQzJkz1bt3b9/jIMpMnDhRw4cP17x582L+nXBDhw7VnDlztHLlSlWtWtX3OIgyffv21caNG7Vs2TKVL1/e9zglRr+gMPQLrKBfYAX9AgvoF1hBv8AoCKKEAAAgAElEQVQK+gUW0C+wgn6BFfQLLKBfYAX9AivKuF/K5jLujTfeqA8++ECrV69W9erVS/s4hNCECRN0++23a8GCBWrfvr3vcUpk3759Ovvss9W9e3e99NJLvsdBlOrVq5e2bdumL774QklJSb7HKZGZM2fq0ksv1TvvvKP+/fv7HgdRaMuWLWrVqpVGjRqlv/zlL77HKTH6BadCv8AK+gUW0C+wgn6BFfQLLKBfYAX9AivoF1hAv8AK+gVW0C+woIz7pfSXcWfNmqVLLrlE06ZN0+WXX17agRBSzjldfPHF2r9/vxYuXKjExETfIxXbLbfcorffflurVq1SzZo1fY+DKLVx40a1bt1av//97/XHP/7R9zjFduDAAZ199tm64IILNHnyZN/jIIo99dRTuvvuu7V48WK1atXK9zjFRr+gKOgXWEG/wAr6BRbQL7CCfoEV9AssoF9gBf0CK+gXWEC/wAr6BVaUYb+U7jLu0aNH1bZtWzVr1kzvvPNOaQaBAWvXrlWbNm30+OOPa+TIkb7HKZbFixerU6dOevnllzVkyBDf4yDKjR07Vn/605/05Zdfqn79+r7HKZY//OEP+tvf/qY1a9YoNTXV9ziIYjk5ObrwwgtVoUIFzZ492/c4xUK/oDjoF1hBv8AC+gVW0C+wgn6BBfQLrKBfYAX9AgvoF1hBv8AK+gUWlGG/lO4y7pNPPql77rlHK1euVNOmTUszCIy455579Pzzz2v9+vVKSUnxPU6RXXTRRTp69KjmzZunuLg43+Mgyh05ckRt2rRR27ZtNWXKFN/jFNmmTZvUsmVLPfzwwxo1apTvcRAD8v6gNnXq1Jh6dzD9guKiX2AB/QIr6BdYQb/AAvoFVtAvsIJ+gQX0C6ygX2AF/QIL6BdYUUb9UvLLuLt371bTpk01YsQIPfzwwyUdAMbs379fZ511lq688ko9+eSTvscpkilTpmjw4MH6/PPP1alTJ9/jIEa8//77+tWvfqVPP/1UXbt29T1OkVx55ZVasWKFVqxYoXLlyvkeBzHiuuuu09y5c7V69WolJyf7HueU6BeUBP0CK+gXWEG/wAL6BVbQL7CCfoEF9AusoF9gBf0CC+gXWEG/wIoy6JeSX8a98847NXnyZK1bt06VK1cuySNg1PPPP6/bbrtNq1ativp3lB05ckTNmzdX165dNXHiRN/jIMb06tVLu3fv1sKFC6P+HWXz589Xenq63n//ffXt29f3OIghW7du1VlnnaU//elPGj16tO9xTol+QUnRL7CCfoEF9AusoF9gBf0CC+gXWEG/wAr6BRbQL7CCfoEV9AssKIN+Kdll3G3btqlx48YaO3asRo4cWZKDYVh2drZat26t9u3b65VXXvE9TqGeeeYZ3XHHHVq7dq0aNGjgexzEmKVLl6p9+/Z655131K9fP9/jFOoXv/iFsrKyNHfuXN+jIAb993//t5599llt2rQpqv8PCvoFpUG/wAr6BVbQL7CAfoEV9AusoF9gAf0CK+gXWEG/wAL6BVbQL7CilP1Sssu4t912m6ZPn65169apfPnyxf3tgCZPnqxrr71WK1asUIsWLXyPk6+srCw1bdpU/fv311NPPeV7HMSoyy+/XOvXr9eyZcsUHx/ve5x8zZ07V126dNHs2bPVrVs33+MgBu3Zs0cNGzbU3XffrT/84Q++xykQ/YLSol9gBf0CC+gXWEG/wAr6BRbQL7CCfoEV9AssoF9gBf0CK+gXWFDKfin+Zdyvv/5azZo101NPPaWbbrqpuAcCkqScnBy1bdtWLVu21JQpU3yPk6+nnnpK9957rzZs2KA6der4HgcxauXKlWrbtq2mTJmiK664wvc4+eratauSkpI0a9Ys36Mght1///0aP368Nm7cqGrVqvke5yT0C8oC/QIr6BdYQb/AAvoFVtAvsIJ+gQX0C6ygX2AF/QIL6BdYQb/AilL0S/Ev444aNUpvv/22NmzYoHLlyhVvUuAnpk2bpquvvlpr1qxR06ZNfY9zgmPHjqlx48YaMGCAnnzySd/jIMYNGjRIGzdu1BdffOF7lJPMnz9f6enp+uyzz9SlSxff4yCG7d27V/Xr19fvf/973Xvvvb7HOQn9grJCv8AK+gUW0C+wgn6BFfQLLKBfYAX9AivoF1hAv8AK+gVW0C+woBT9sr1YPzN6z549euGFFzRq1ChCBKU2cOBANWzYUE888YTvUU4ybdo0bd26VXfccYfvURAC99xzjxYvXqzZs2f7HuUkjz76qDp27EiIoNSqVq2qESNGaPz48Tpy5IjvcU5Av6As0S+wgn6BBfQLrKBfYAX9AgvoF1hBv8AK+gUW0C+wgn6BFfQLLChNvxTrMu6ECRMUHx+vYcOGFesQID8JCQm64447NHHiRO3YscP3OCd44okndMUVV6hRo0a+R0EIdOjQQRdddJEee+wx36OcYNOmTXr33Xd1zz33+B4FITFq1Cjt2LFDr7/+uu9RTkC/oCzRL7CCfoEV9AssoF9gBf0CK+gXWEC/wAr6BVbQL7CAfoEV9AusKGm/FPky7rFjx/T000/rpptuUtWqVYs9IJCfYcOGKTk5WRMmTPA9ynFz587VokWLdOedd/oeBSHy29/+VjNmzNDatWt9j3LcE088oTPPPFOXXXaZ71EQEmlpaRo0aJDGjRvne5Tj6BcEgX6BFfQLLKBfYAX9AivoF1hAv8AK+gVW0C+wgH6BFfQLrKBfYEFJ+6XIl3GnT5+urVu36pZbbin2cEBBKlWqpBtuuEHPPvussrOzfY8jKfcdcB07dtR5553nexSEyC9/+Us1atRIzz//vO9RJEmHDh3SK6+8oltvvVUJCQm+x0GIjBw5UsuXL9eiRYt8jyKJfkEw6BdYQb/ACvoFFtAvsIJ+gRX0CyygX2AF/QIr6BdYQL/ACvoFVpSkX4p8Gfe5555Tz5491bhx4xINBxTkpptu0jfffKOPP/7Y9yjas2eP3nrrLY0YMcL3KAiZuLg4XX/99Zo4caKysrJ8j6Np06YpMzNT119/ve9REDLnn3++2rZtq+eee873KJLoFwSHfoEF9AusoF9gBf0CC+gXWEG/wAr6BRbQL7CCfoEV9AssoF9gRUn6pUiXcb/99lt98MEHvEAjEGeddZY6d+4cFeH90ksvKT4+XldffbXvURBCw4YN0+7du/Xuu+/6HkXPPfec+vfvr9q1a/seBSE0bNgwTZ48Wfv27fM6B/2CINEvsIJ+gRX0CyygX2AF/QIr6BdYQL/ACvoFVtAvsIB+gRX0C6wobr8U6TLuK6+8oho1aqhfv36lGg4oyPDhw/Xuu+9q165dXud46aWXdPXVV6ty5cpe50A4paWlqXfv3po4caLXOTZs2KC5c+dq+PDhXudAeA0dOlTHjh3Tm2++6XUO+gVBo19gAf0CK+gXWEG/wAL6BVbQL7CCfoEF9AusoF9gBf0CC+gXWFHcfinSZdwpU6boiiuuUFJSUqmGAwpy2WWXKSEhQe+88463GdatW6elS5dq8ODB3mZA+F1zzTX66KOPtHPnTm8zTJkyRbVq1VL37t29zYBwq169unr16qWpU6d6nYN+QdDoF1hBv8AC+gVW0C+wgn6BBfQLrKBfYAX9AgvoF1hBv8AK+gUWFLdfTnkZd+3atVq+fLkGDRpU6uGAglSuXFm9e/fWlClTvM0wdepUpaamqmvXrt5mQPj169dPiYmJXsN76tSpuvLKK5WYmOhtBoTfoEGDNGvWLG3fvt3L+fQLIoF+gRX0C6ygX2AB/QIr6BdYQb/AAvoFVtAvsIJ+gQX0C6ygX2BFcfrllJdxp0yZotNPP11dunQpk+GAggwaNEiffPKJfvzxRy/nT506VVdccYUSEhK8nA8b8sLb1zs+165dq4yMDF155ZVezocd/fv3V/ny5b2FN/2CSKFfYAH9AivoF1hBv8AC+gVW0C+wgn6BBfQLrKBfYAX9AgvoF1hRnH455WXc9957TwMGDOAFGoH75S9/qYSEBM2cOTPiZ2/atEkrVqzQwIEDI3427Lniiis0e/Zs7du3L+Jn/+Mf/1CtWrX4AyYCV6lSJfXs2VP/+Mc/vJxPvyBS6BdYQb/AAvoFVtAvsIJ+gQX0C6ygX2AF/QIL6BdYQb/ACvoFFhSnXwq9jLt9+3YtWbJEffv2LbPhgIKcdtpp6tKliz744IOInz1z5kxVrlxZnTt3jvjZsKd3797KycnRxx9/HPGzZ86cqd69e/MHTEREnz59NGfOHB0+fDii59IviCT6BVbQL7CCfoEF9AusoF9gBf0CC+gXWEG/wAr6BRbQL7CCfoEVRe2XQi/jzpw5U+XKlVO3bt3KcjagQH369NGHH36o7OzsiJ47c+ZM9ejRQ0lJSRE9FzbVqFFDHTp0iHh479+/X/Pnz1efPn0iei7suvTSS5WZmal//etfET2XfkGk0S+wgH6BFfQLrKBfYAH9AivoF1hBv8AC+gVW0C+wgn6BBfQLrChqvxR6GfeDDz5Qly5ddNppp5XpcEBB+vTpo927d2vRokUROzMrK0uzZ89W7969I3Ym0KdPn4j/lRSzZs1Sdna2evbsGdFzYVfdunXVqlWriO86/YJIo19gBf0CC+gXWEG/wAr6BRbQL7CCfoEV9AssoF9gBf0CK+gXWFDUfin0Mu6cOXNYWkRUixYtlJaWpjlz5kTszH//+9/KzMxUjx49InYm0LNnT33zzTf66quvInbmnDlz1K5dO9WsWTNiZwI9evSI6Gu6RL8g8ugXWEG/wAr6BRbQL7CCfoEV9AssoF9gBf0CK+gXWEC/wAr6BVYUpV8KvIz71Vdfadu2bercuXNZzwUUqnPnzpo3b17Ezps7d67q1KmjRo0aRexMoH379kpOTo7ors+bN4/XdERcenq6MjIytG/fvoicR7/AF/oFFtAvsIJ+gRX0CyygX2AF/QIr6BdYQL/ACvoFVtAvsIB+gRVF6ZcCL+POnz9f5cuX17nnnhvIcEBB0tPTNX/+fOXk5ETkvPnz5ys9PT0iZwF5ypcvrw4dOkQsRjIzM7V8+XJ2HRHXpUsXZWdna+HChRE5j36BL/QLLKBfYAX9AivoF1hAv8AK+gVW0C+wgH6BFfQLrKBfYAH9AiuK0i+FXsbNu7kORFJ6erp2796tL7/8MvCznHP6/PPPdcEFFwR+FvBz6enpEYuRRYsW6dixY+w6Ii41NVWNGzeO2K7TL/CFfoEV9AssoF9gBf0CK+gXWEC/wAr6BVbQL7CAfoEV9AusoF9gQVH6pcDLuEuWLFHHjh0DGQwoTJs2bZScnKzFixcHftaWLVu0Y8cOderUKfCzgJ/r1KmTvvzySx08eDDwsxYvXqw6deqobt26gZ8F/FzHjh21ZMmSiJxFv8AX+gVW0C+wgn6BBfQLrKBfYAX9AgvoF1hBv8AK+gUW0C+wgn6BFafql3wv42ZnZ2vlypVq27ZtYIMBBUlMTFSLFi20YsWKwM9avny54uLi1Lp168DPAn6udevWysnJ0cqVKwM/KyMjQ23atAn8HCA/rVu3VkZGRuDn0C/wiX6BFfQLrKBfYAH9AivoF1hBv8AC+gVW0C+wgn6BBfQLrKBfYMWp+iXfy7gbNmzQwYMHeYGGN5EK74yMDDVo0EBVqlQJ/Czg5xo3bqxKlSpFJLyJEfjUpk0bbdmyRXv27An0HPoFvtEvsIB+gRX0C6ygX2AB/QIr6BdYQb/AAvoFVtAvsIJ+gQX0C6w4Vb/kexl3xYoVSkhIUMuWLQMdDihI69atI/ICvXLlSqIb3sTHx+vss88OPLyPHj2qNWvWqFWrVoGeAxSkdevWcs4F/i44+gW+0S+wgH6BFfQLrKBfYAH9AivoF1hBv8AC+gVW0C+wgn6BBfQLrDhVv+R7GXf9+vU688wzVbFixUCHAwrSokULbdu2Tfv37w/0nHXr1ql58+aBngEUpnnz5lq/fn2gZ3z99dfKyspi1+FNXlOsW7cu0HPoF/hGv8AK+gUW0C+wgn6BFfQLLKBfYAX9AivoF1hAv8AK+gVW0C+w4FT9ku9l3E2bNqlhw4aBDgYUpkGDBpKkzZs3B3rOpk2bjp8F+NCgQYPA9zzv+byuw5e4uDjVr19fX3/9daDn0C/wjX6BFfQLLKBfYAX9AivoF1hAv8AK+gVW0C+wgH6BFfQLrKBfYMGp+iXfy7ibN2/mBRpeRSJG9u7dqz179vACDa/yYsQ5F9gZmzZtUuXKlVWzZs3AzgBOpWHDhtq0aVOgZ9Av8I1+gRX0C6ygX2AB/QIr6BdYQb/AAvoFVtAvsIJ+gQX0C6ygX2BFYf3CZVxEpUqVKqlWrVqBhnfes9l1+NSwYUMdOnRIP/zwQ2BnfP311+w5vIvUu+DYdfhEv8AK+gVW0C+wgH6BFfQLrKBfYAH9AivoF1hBv8AC+gVW0C+worB+yfcy7nfffae0tLQgZwJOqV69evruu+8Ce/62bdskiV2HV3Xr1pWkQHed13REg7p162rr1q2BnsGuIxrQL7CAfoEV9AusoF9gAf0CK+gXWEG/wAL6BVbQL7CCfoEF9AusKKxfTrqMe/jwYWVmZqpWrVqBDwYUJiUlRTt37gzs+Tt27FD58uVVuXLlwM4ATiXvR+cHvev8iH74VrNmzUD3nH5BtKBfYAH9AivoF1hBv8AC+gVW0C+wgn6BBfQLrKBfYAX9AgvoF1hRWL+cdBl3x44dknK/EcCPyZMn65VXXon4uW+++aZmzJgR8XMLEnR48wLtF3ueq2rVqipXrtzx194g7Ny5k133iF3PlZKSon379uno0aOBPJ9+8Y9dz0W/hBt7not+CT92PRf9En7sei76JdzY81z0S/ix67nol/Bj13PRL+HGnueiX8KPXc9Fv4Qfu56Lfgk39jwX/RJ+7Hquwvol8ecfyHvxZ3H9eeyxx3TgwAENHTo0oufed999Sk1N1aWXXhrRcwuSkpKi5cuXB/b8nTt3Et0esee54uLiVL169cDDm133h13PVbNmTTnntGvXLqWmppb58+kX/9j1XPRLuLHnueiX8GPXc9Ev4ceu56Jfwo09z0W/hB+7not+CT92PRf9Em7seS76JfzY9Vz0S/ix67nol3Bjz3PRL+HHrucqrF9O+sm4+/btkyRVqVIlMtMBBahWrdrxfQzC/v37VbVq1cCeDxRVtWrVtHfv3sCez64jGlSrVk2SAtt1+gXRgn6BFfQLLKBfYAX9AivoF1hAv8AK+gVW0C+wgH6BFfQLrKBfYEFh/XLSZdysrCxJUvny5QMeC845Oed8jxG1kpKSju9jELKystjzCGDPTy0pKUlHjhwJ7PlZWVlKSkoK7PnIxa4XLm8Hg9p1+iVy2PXC0S/hwJ6fGv0SDux64eiX8GDXC0e/hAN7fmr0Sziw64WjX8KDXS8c/RIO7Pmp0S/hwK4Xjn4JD3a9cPRLOLDnp0a/hAO7XrjC+uWky7h5n+RrcUeMGKHrr79eGzZs0PDhw1WvXj11795dkyZNkiQ9/vjjat++vWrXrq0+ffpo/fr1Jz1jz549uu2229SqVSudfvrpGjhwoGbMmHHS582ZM0cjR45Us2bNVK9ePV1zzTV65plnlJ2dfcI8t99+u7777jsNHjxY9evXV+PGjTVs2DBlZmaW6Gtcvny5evTooWrVqqlixYo677zzNHPmzJM+b9WqVRo6dKjS0tLUqFEjDR8+XIcOHTr+69ddd52uvfbak37fmDFj1KVLFx07dqzUX8Mbb7yhLl266P777y/R11oakYgR9vw/87DnfvZcyv3DH7vOrod91/N2MKhdp1/Y9Z/yveu8prPnYd9ziX5h13OFfdfpF3Y9j4Vd5zWdPQ/7nkv0C7ueK+y7Tr+w63ks7Dqv6ex52Pdcol/Y9Vxh33X6hV3PY2HXeU1nz8O+5xL9wq7nCvuuF9ov7mfeeustJ8kdOXLk578UER06dHCnn366q1OnjmvZsqUbOnSoS0pKcnFxca5Pnz4uMTHR9evXz1122WUuKSnJnXnmmS47O/v47//mm29cgwYNXKVKldytt97qfve737lzzjnHxcfHu3Hjxh3/vE8++cQlJCS4GjVquNtvv93df//9Lj093Ulyo0ePPmGeBg0auLS0NNe5c2d3zz33uIsuushJcgMHDiz21zd79myXnJzs0tLS3J133umGDRvmqlat6hITE928efOOn5mSkuJq1arlmjZt6kaPHu169uzpJLmrrrrq+LNatmzpmjdvftIZw4YNc5JcVlZWsb6Gli1buosvvvj4P0+ePNklJia6Sy65xB08eLDYX2tpjRs3ztWpUyew5w8ePNgNGDAgsOcXhj1nz3/qggsucKNGjQrs+eXKlXOTJk0K7PmFYdfZ9Tzffvutk3T830tZo1/Y9Ty+d51+Yc+dC/+eO0e/sOu5wr7r9Au7nifsu06/sOfOhX/PnaNf2PVcYd91+oVdzxP2Xadf2HPnwr/nztEv7HqusO86/cKu5wn7rtMv7Llz4d9z5+gXdj1X2He9kH758aTLuNOmTXOSTliGSOrQoYOT5B588MHjH5sxY4aT5CpUqODWrl17/OPXX3+9k3TCx4YMGeIkuQULFhz/WFZWluvevbtLSkpyO3fudM45N2LECFe+fHm3e/fu45936NAhd8YZZ5ywDHnz3HvvvS4nJ8c551x2drY799xzXdWqVYv1tWVnZ7u2bdu6qlWruvXr1x//+Jdffuni4uLckCFDTjjz/vvvP+H3d+rUyVWvXv34PxdncYvyNfx0cSdNmuQSEhLcpZde6g4fPlysr7OsPP3006527dqBPX/QoEHu8ssvD+z5hWHP2fOf6tq1qxs5cmRgz4+Pj3eTJ08O7PmFYdfZ9Tzff/+9k+TmzJkTyPPpF3bduejYdfolF3se7j13jn7Jw66He9fpF3Y9T9h3nX7JxZ6He8+do1/ysOvh3nX6hV3PE/Zdp19ysefh3nPn6Jc87Hq4d51+YdfzhH3X6Zdc7Hm499w5+iUPux7uXS+kX36M18+UK1dOko7/OGAfEhISNHr06OP/3LZtW0lS9+7d1axZs+Mf79atmyRp9erVkqRdu3bptddeU8eOHXXeeecd/7ykpCSNGDFCR44c0VtvvSVJuuuuu/Tvf/9b1apVO/55R44cUbVq1bRv374T5qlQoYLuv/9+xcXFSZLi4+OVnp6uvXv36ttvvy3y17V06VItX75cAwYMUJMmTY5/vHnz5ho/frw6dep0/GPx8fH63e9+d8Lvb9++vXbv3l2sM0vyNbz88su67rrr1KdPH7399tsqX758sc8rC0eOHAn0R4uXK1eOPf8J9tzPnku5/50EeX5iYqKOHj0a2PNPhV1n1yUd38GgXtfpF3Y9WnadfsnFnhddLO65RL/kYdeLLhZ3nX5h163sOv2Siz0vuljcc4l+ycOuF10s7jr9wq5b2XX6JRd7XnSxuOcS/ZKHXS+6WNx1+oVdt7Lr9Esu9rzoYnHPJfolD7tedLG464X1S+LPP5D3SUF/IyhMnTp1Tjg7OTn5+Md/KiEhQVLurJK0du1aOed04MABXXXVVSd8bt4yfvXVV5Jyl2Xnzp167LHH9Pnnn2vz5s1av3699u3bd9I5tWvXPj5DnurVq0uSDhw4UOSva8OGDZKk1q1bn/Rrt99++wn/nJaWdtLC5P2PrDhn5inq17Bs2TLdeOONysnJkXPO2w5IUlZWVqDnly9fXrt27Qrs+afCnrPneYJ+vS1fvvzx/fGBXWfXpdzXdEmBxRD9wq5H067TL+x5ccTinkv0Sx52vehicdfpl/9g14suVnedfmHPiyMW91yiX/Kw60UXi7tOv/wHu150sbrr9At7XhyxuOcS/ZKHXS+6WNx1+uU/2PWii9Vdp1/Y8+KIxT2X6Jc87HrRxeKuF9YvJ/1k3LxP8rm4lSpVyvfj8fEnjXuCnTt3Ssr9GsqVK3fCf1JSUjRkyBCdffbZkqSxY8eqbt26euCBB3T06FH16NFDEydOVHp6+knPrVChQoFnOueK+mVp+/btknKX8lQK+ndQlDPz+wZb1K9h9+7dGjx4sK677jpNnz5dr7322ilnDUrQ75ZISkpiz3+CPfcnKyuLXc8Hu54rLLuet4NB7Tr9wq5H067zmn4y9jxXWPZcol8Kwq7nCsuu0y8FY9dzhWnXeU0/GXueKyx7LtEvBWHXc4Vl1+mXgrHrucK067ymn4w9zxWWPZfol4Kw67nCsuv0S8HY9Vxh2nVe00/GnucKy55L9EtB2PVcYdn1wvrlpJ+Mm/dJhw8fDnissteoUSNJUtOmTTVp0qQTfi07O1v79+9XxYoVtX37dv3ud79TrVq1tH79elWuXPn45z300EOBzdegQQNJ0sKFC3X11Vef8Gsvv/yycnJydMMNNxT5eXFxccrJyTnp42vXri3xjO3bt9fLL7+sXbt2afr06Ro1apQuueQS1axZs8TPLKmsrKyTbr6XpeTkZPY8AOx58bHr+WPXc4Vl1/N2MOj/M4VdL3vsevHwmp4/9jxXWPZcYtcLwq7nCsuu0y8FY9dzhWXXeU3PH3ueKyx7LrHrBWHXc4Vl1+mXgrHrucKy67ym5489zxWWPZfY9YKw67nCsuv0S8HY9Vxh2XVe0/PHnucKy55L7HpB2PVcYdn1wvrlpGvZeT/md/fu3QGPVfaaNGmiWrVq6cMPP9TRo0dP+LWHH35Y1atX16JFi/T1118rJydHAwcOPGFpv/nmGy1btiyw+Tp27KgKFSrok08+OeHjq1ev1g033KBPP/20WM9r0KCBNm/efMLXumrVquM/OrokqlSpori4OKWkpGjs2LHavn277rjjjhI/rzR27tx5fB+DUK1aNa8/pr+k2PNw7bkU/K5Xr16d1/QAsOvFk/d6W6NGjUCeT7+w69Gy6/RL/tjzcO25RB98vRQAACAASURBVL8UhF0P167TLwVj18O16/RL/tjzcO25RL8UhF0P167TLwVj18O16/RL/tjzcO25RL8UhF0P167TLwVj18O16/RL/tjzcO25RL8UhF0P164X1i8nXcbNuy28Y8eOgMcqe0lJSXr44Ye1b98+XXvttVqyZIk2bNigxx57TA8++KB69uyp9PR0nXXWWTrttNM0ZcoUvffee1q/fr0mTpyoCy+8UFWqVNGBAwdKdRO7IKmpqRo1apQyMjJ0yy236IsvvtDLL7+sa665RomJibrllluK9bzzzjtPR44c0Q033KA5c+bo+eef14ABA1S1atUymfeGG25Qly5d9Nprr2nGjBll8szi2LlzZ6C312vWrHn8x4DHEvY8XHuenZ2tvXv3KiUlJbAzUlJS2HV23fuu79ixQwkJCapWrVogz6df2PU8vnedfskfex6uPadfCsauh2vX6ZeCsevh2nX6JX/sebj2nH4pGLserl2nXwrGrodr1+mX/LHn4dpz+qVg7Hq4dp1+KRi7Hq5dp1/yx56Ha8/pl4Kx6+Ha9cL6JfHnH6hRo4bi4uJicnEl6de//rUOHjyoe+65R1OnTpUkJSYmavjw4XrooYcUFxenypUr68UXX9SwYcPUr18/Sblf97hx41SpUiVdf/31atWq1Uk30cvCAw88IOecxo4dqwkTJkiSzjjjDL366qs677zzivWs3/72t/r888/12muv6bXXXlNaWpqGDh0qSRozZkypZ42Li9Mzzzyjdu3a6ZZbbtGqVatOuHUftB07dqhFixaBPT8lJUW7du2Sc05xcXGBnRME9jw8e75r1y7l5OQEGt4pKSkx+QdMiV0P067nvQMuPv6k9wGVCfqFXc/je9fpl4Kx5+HZc/qlcOx6eHadfikcux6eXadfCsaeh2fP6ZfCsevh2XX6pXDsenh2nX4pGHsenj2nXwrHrodn1+mXwrHr4dl1+qVg7Hl49px+KRy7Hp5dL6xf4pxz7ucfrF69uh555BHddNNNERkwCPv379fSpUt14MABtW7dWvXq1Tvpc3bu3KmlS5fqjDPOUMuWLY9/Q9q5c6d2796tJk2aBDZfZmamMjIyVKVKFTVt2lRJSUklftb27du1detWtW3bNua+qRamTZs26tevnx588MFAnv/RRx/pkksu0c6dOwP7ay+Cxp7Hvi+//FItW7bU8uXL1aZNm0DOuOmmm7Rx40bNmjUrkOdHArse+x544AG9+uqrWrNmTWBn0C/sejSgX06NPY999EvRsOuxj34pGnY99tEvp8aexz76pWjY9dhHvxQNux776JdTY89jH/1SNOx67KNfioZdj330y6mx57GPfikadj32FdIv2/O9jNuqVStddtlleuCBByIzYYy77bbbivR5Q4cO1QUXXBDwNOFRrVo1PfLII7r55psDeX7eN4Fly5apbdu2gZwRJux5MD788EP17t1bu3btUvXq1QM54y9/+YteffXVQH5UfRix68EYMWKENm3aFGgU0y/Fw64Hg36JLux5MOiX6MOuB4N+iT7sejDol+jCngeDfok+7How6Jfow64Hg36JLux5MOiX6MOuB4N+iT7sejDol+jCngeDfok+7HowCumX7Yn5/YaGDRtq06ZNwU8WEhdffHGRPu+MM84IeJLw2L17t/bu3auGDRsGdkaDBg0UFxenzZs3EyNFwJ4HY/PmzapatWpgISLl7vrXX3+tnJycwP6KlzBh14OxadOmQF/TJfqluNj1ske/RB/2PBj0S/Rh14NBv0Qfdr3s0S/Rhz0PBv0Sfdj1YNAv0YddL3v0S/Rhz4NBv0Qfdj0Y9Ev0YdfLHv0SfdjzYNAv0YddD0Zh/ZLvZdwGDRpo6dKlgQ4VJldeeaXvEUInL4YbNGgQ2BkVKlRQ7dq1Ce8iYs+DEYk/YDZo0EBZWVnatm2b0tLSAj0rDNj1YGzatKnIoVdS9EvxsOtlj36JPux5MOiX6MOuB4N+iT7setmjX6IPex4M+iX6sOvBoF+iD7te9uiX6MOeB4N+iT7sejDol+jDrpc9+iX6sOfBoF+iD7sejML6Jd8r4rwzCL5t2rRJ8fHxOvPMMwM9h12Hb5s3bw40uiUdjx12Hb5kZ2frm2++icius+fwiX6BFfQLLKBfYAX9AivoF1hAv8AK+gVW0C+wgH6BFfQLrKBfYMGp+iXfy7jNmzfXd999p507dwY5G1CgVatWqWHDhkpOTg70nBYtWmj16tWBngEUZuXKlWrRokWgZ9StW1dVqlTRqlWrAj0HKMi6det09OhRtWzZMtBz6Bf4Rr/ACvoFFtAvsIJ+gRX0CyygX2AF/QIr6BdYQL/ACvoFVtAvsOBU/ZLvZdw2bdpIEosLb1asWHF8D4PUunVrLV++PPBzgPxkZWVp3bp1at26daDnxMXFqVWrVlqxYkWg5wAFycjIUGJiYuDhTb/AN/oFFtAvsIJ+gRX0CyygX2AF/QIr6BdYQL/ACvoFVtAvsIB+gRWn6pd8L+PWrVtXKSkpysjICHQ4oCAZGRkRiZE2bdpo+/bt+uGHHwI/C/i5NWvW6OjRoxHbdWIEvqxYsULNmjUL/N2e9At8o19gAf0CK+gXWEG/wAL6BVbQL7CCfoEF9AusoF9gBf0CC+gXWHGqfsn3Mq4ktWrVihiBFwcPHtRXX32lVq1aBX5W3jcBdh0+rFixQuXLl1ezZs0CP6t169bKyMiQcy7ws4CfW7FiRURe0yX6Bf7QL7CCfoEV9AssoF9gBf0CK+gXWEC/wAr6BVbQL7CAfoEV9AusOFW/FHgZt2PHjlqwYEEgQwGFWbRokbKzs9WpU6fAz6pVq5bq16/PrsOLzz//XOecc47KlSsX+FkdO3bUnj17tHbt2sDPAn7KOacFCxZE5DVdol/gD/0CK+gXWEC/wAr6BVbQL7CAfoEV9AusoF9gAf0CK+gXWEG/wIKi9EuBl3HT09O1atUq7dmzJ5DhgILMmzdPaWlpOvPMMyNyXnp6uubNmxeRs4Cfmjt3rtLT0yNy1jnnnKPTTjuNXUfErV+/Xj/++KM6d+4ckfPoF/hCv8AK+gUW0C+wgn6BFfQLLKBfYAX9AivoF1hAv8AK+gVW0C+woCj9UuBl3M6dOx+/zQtE0rx589S1a9eInZeenq7PP/9c2dnZETsT2Ldvn1atWhWxGElMTFSHDh2IEUTcvHnzVKFCBZ1zzjkROY9+gS/0CyygX2AF/QIr6BdYQL/ACvoFVtAvsIB+gRX0C6ygX2AB/QIritIvBV7GrVmzppo2bcriIqKys7O1YMECXXjhhRE7Mz09Xfv27dPKlSsjdiYwf/58ZWdnR3zXeU1HpM2bN08dO3ZUUlJSRM6jX+AD/QIr6BdYQb/AAvoFVtAvsIJ+gQX0C6ygX2AF/QIL6BdYQb/AiqL0S4GXcSWpe/fu+vDDD8t8MKAgixYt0u7du/WLX/wiYme2bt1atWvX1j//+c+InQn885//VOvWrZWamhqxM3/xi19o3bp12rhxY8TOBD766KOIvqZL9Asij36BFfQLrKBfYAH9AivoF1hBv8AC+gVW0C+wgn6BBfQLrKBfYEVR+qXQy7i9e/fW4sWL9eOPP5bpYEBBPvjgA9WrV08tWrSI2Jnx8fG65JJLNHPmzIidCcycOVO9e/eO6JmdO3dWlSpV+EMmImblypXasmWL+vTpE9Fz6RdEGv0CK+gXWEC/wAr6BVbQL7CAfoEV9AusoF9gAf0CK+gXWEG/wIKi9kuhl3F79OihcuXK8Y4JRMzMmTPVt2/fiJ/bu3dvzZ07V3v37o342bBn8+bNWrNmTcRjpFy5crr44osJb0TMzJkzVbNmTbVv3z6i59IviDT6BRbQL7CCfoEV9AssoF9gBf0CK+gXWEC/wAr6BVbQL7CAfoEVRe2XQi/jVqpUSZ07d9b7779fpsMB+fnhhx+0ePHiiL9AS1KvXr2UnZ2tWbNmRfxs2DN9+nSddtpp6ty5c8TPvvTSS/XJJ5/o0KFDET8b9kyfPl29evVSfHyhuVHm6BdEEv0CK+gXWEG/wAL6BVbQL7CCfoEF9AusoF9gBf0CC+gXWEG/wIqi9ssp6+ayyy7T+++/r8zMzDIbDsjPG2+8oQoVKqhHjx4RP7tmzZrq2rWrpk2bFvGzYc/UqVP1q1/9SklJSRE/u3///jp8+LBmzJgR8bNhy/fff6+5c+fq8ssv93I+/YJIoV9gBf0CC+gXWEG/wAr6BRbQL7CCfoEV9AssoF9gBf0CK+gXWFCcfjnlZdxBgwYpKyuLH+uMwE2ZMkX9+/dXpUqVvJw/aNAgvffee4Q3ArVt2zbNmzdPgwYN8nJ+amqqunbtqqlTp3o5H3ZMmzZNFStW9PJuT4l+QeTQL7CAfoEV9AusoF9gAf0CK+gXWEG/wAL6BVbQL7CCfoEF9AusKE6/nPIybq1atXjHBALn+wVakq644godOXKEd0wgUFOnTlXFihXVq1cvbzMMGjSId3wicFOnTlW/fv1UoUIFL+fTL4gE+gVW0C+wgn6BBfQLrKBfYAX9AgvoF1hBv8AK+gUW0C+wgn6BFcXpl1NexpWkq666Su+//7727t1b6uGA/Lz22muqXLmy1xfoWrVqqVu3bnr11Ve9zYDwe/311zVgwABvf8CUpMsvv1xHjx7VO++8420GhNvmzZs1f/58XXXVVV7noF8QNPoFVtAvsIB+gRX0C6ygX2AB/QIr6BdYQb/AAvoFVtAvsIJ+gQXF7ZciX8aNi4vjRRqBefHFFzV48GAlJyd7nWPYsGGaPn26vvvuO69zIJxWrFihhQsXatiwYV7nqFWrln75y1/q+eef9zoHwuuFF15Q7dq1vf0VQ3noFwSNfoEF9AusoF9gBf0CC+gXWEG/wAr6BRbQL7CCfoEV9AssoF9gRXH7pUiXcatWraorr7xSEyZMKNVwQH7+9a9/afXq1Ro+fLjvUXT55ZerevXqmjhxou9REELPPfecGjVqpIsuusj3KBoxYoTmzJmjL7/80vcoCJns7Gy99NJLuvHGG1WuXDmvs9AvCBL9AivoF1hAv8AK+gVW0C+wgH6BFfQLrKBfYAH9AivoF1hBv8CCkvRLkS7jStJNN92kjIwM/fvf/y7xgEB+nn/+ebVv317nnnuu71GUlJSka6+9Vi+88IJycnJ8j4MQOXz4sF599VWNGDFCcXFxvsdRr169VL9+fb344ou+R0HIzJw5U99++61+/etf+x5FEv2C4NAvsIB+gRX0C6ygX2AB/QIr6BdYQb/AAvoFVtAvsIJ+gQX0C6woSb8U+TLuBRdcoLZt22r8+PElGg7Iz/fff68pU6bo5ptv9j3KcTfddJM2bdqk999/3/coCJFXXnlFmZmZuuGGG3yPIkmKj4/XiBEj9OKLLyozM9P3OAiRJ598Uj169FDjxo19jyKJfkEw6BdYQb/ACvoFFtAvsIJ+gRX0CyygX2AF/QIr6BdYQL/ACvoFVpSkX4p8GVeS7rzzTk2ZMkVbtmwp9nBAfp566ilVrVpV1157re9RjmvevLn69u2rxx57zPcoCAnnnMaNG6ehQ4fq9NNP9z3OcbfeequysrJ4dxDKTEZGhj7++GPdfffdvkc5Af2Cska/wAL6BVbQL7CCfoEF9AusoF9gBf0CC+gXWEG/wAr6BRbQL7CipP1SrMu4gwcPVmpqqp5++uliHQLk5+DBg5owYYJuv/12VahQwfc4J/jtb3+rzz77TAsWLPA9CkLg3Xff1Zo1a3TnnXf6HuUENWrU0PXXX69x48bp2LFjvsdBCPy///f/1KpVK/Xs2dP3KCegX1CW6BdYQb/ACvoFFtAvsIJ+gRX0CyygX2AF/QIr6BdYQL/ACvoFVpS0X4p1GbdcuXIaOXKknn32We3Zs6dYBwE/9+yzz+rQoUO69dZbfY9ykm7duql9+/a8OwhlYuzYsbr00kvVsmVL36Oc5M4779TXX3+tN9980/coiHGbN2/W1KlTdffddysuLs73OCegX1CW6BdYQb/AAvoFVtAvsIJ+gQX0C6ygX2AF/QIL6BdYQb/ACvoFFpSmX+Kcc644v2Hv3r1q1KiRRo4cqb/85S/FOgzIc+jQITVp0kRXX3111H7Df+utt3TFFVdoyZIlateune9xEKM+/PBD9e7dW5999pm6dOnie5x8XXPNNcrIyFBGRoYSEhJ8j4MY9etf/1qffPKJ1q5dq6SkJN/jnIR+QVmgX2AF/QIr6BdYQL/ACvoFVtAvsIB+gRX0C6ygX2AB/QIr6BdYUYp+2V7sy7iS9Ne//lUPP/ywNm7cqFq1ahX3twMaO3as/vznP+urr75Samqq73Hy5ZzTeeedp7S0NL399tu+x0GMOv/885WSkqLp06f7HqVA69evV8uWLTVx4kQNGTLE9ziIQRs2bFCLFi30/PPP6/rrr/c9ToHoF5QW/QIr6BdYQL/ACvoFVtAvsIB+gRX0C6ygX2AB/QIr6BdYQb/AglL2S8ku4x44cECNGjXSsGHDNGbMmOL+dhgXS/szffp0/epXv9KiRYvUoUMH3+Mgxrz33nvq379/TOzPDTfcoPnz52v16tVKTEz0PQ5izHXXXaeFCxdq9erVUf3uslj6/oPoE0v7Q7+gNOgXWEG/wIJY2h/6BaVBv8AK+gUWxNL+0C8oDfoFVtAvsCCW9od+QWnQL7CilP1Sssu4kjRu3Dj94Q9/0Jo1a3TmmWeW5BEw6o9//KP+93//Vxs2bFBKSorvcU7pwgsvVPny5TV79mzfoyCGHDt2TG3bttVZZ52lt956y/c4p7Rx40a1aNFC48aN02233eZ7HMSQJUuWqGPHjnr11Vd19dVX+x7nlOgXlBT9AgvoF1hBv8AK+gUW0C+wgn6BFfQLLKBfYAX9AivoF1hAv8CKMuiXkl/GPXLkiFq3bq1zzz1Xr7/+ekkeAYO2bNmiFi1a6MEHH9Sdd97pe5wiWbx4sTp16qRp06Zp4MCBvsdBjBg/frxGjx6tlStXqmnTpr7HKZLRo0frxRdf1Lp162LiDwqIDhdddJGOHj2qefPmKS4uzvc4p0S/oCToF1hBv8AK+gUW0C+wgn6BFfQLLKBfYAX9AivoF1hAv8AK+gVWlEG/lPwyriS9++676t+/vz777DN16dKlpI+BIVdccYWWL1+uVatWKSkpyfc4RTZ06FDNmzdPq1evVnJysu9xEOV2796tpk2bavjw4VH/V1H81P79+9WsWTNdddVVeuKJJ3yPgxgwZcoUDR48WJ9//rk6derke5wio19QXPQLLKBfYAX9AivoF1hAv8AK+gVW0C+wgH6BFfQLrKBfYAH9AivKqF9KdxlXknr27Kldu3Zp4cKFSkxMLM2jEHIff/yxevTooffff199+/b1PU6xbN26VWeddZZ+97vf6Y9//KPvcRDlbr31Vr3zzjtau3atqlSp4nucYnnuuec0cuRILV68WK1bt/Y9DqLYgQMHdPbZZ6t79+76+9//7nucYqNfUFT0C6ygX2AB/QIr6BdYQb/AAvoFVtAvsIJ+gQX0C6ygX2AF/QILyrBfSn8Zd926dWrbtq3+8pe/aPTo0aV5FELs0KFDatOmjZo3b6733nvP9zglMnbsWP3P//yPlixZopYtW/oeB1FqwYIFSk9P16RJk3TNNdf4HqfYcnJy1LVrVx09elTz589XQkKC75EQpe644w5NmjRJq1evVmpqqu9xio1+QVHQL7CCfoEV9AssoF9gBf0CK+gXWEC/wAr6BVbQL7CAfoEV9AusKMN+Kf1lXEl66KGH9NBDDykjI0NNmjQp7eMQQvfee6+eeeYZrV69Wmlpab7HKZHs7Gydf/75SkxM1Lx58xQfH+97JESZrKwsnXvuuapfv75mzJjhe5wSW7Nmjdq1a6cxY8Zo1KhRvsdBFFq0aJEuvPBCvfDCC7r++ut9j1Ni9AtOhX6BBfQLrKBfYAX9AgvoF1hBv8AK+gUW0C+wgn6BFfQLLKBfYEUZ90vZXMY9evSoOnTooJSUFM2aNYsXaZxg8eLFOv/88/X000/r5ptv9j1OqSxbtkwdO3bUE088oZEjR/oeB1Hmj3/8o5588kmtWrVKZ555pu9xSuX+++/Xo48+qoyMDDVq1Mj3OIgiWVlZ6tChg04//XT985//VFxcnO+RSox+QWHoF1hBv8AC+gVW0C+wgn6BBfQLrKBfYAX9AgvoF1hBv8AK+gUWBNAvZXMZV8r9hnPBBRfo4Ycf1m9/+9uyeCRCIDMzU+3bt1daWppmzZoV09Gd57777tNjjz2mL774Qi1atPA9DqLE3Llz1a1bN40fP1633Xab73FKLSsrS506ddJpp52mTz/9VImJib5HQpS466679MILL2jZsmVq2LCh73FKjX5BfugXWEG/wAr6BRbQL7CCfoEV9AssoF9gBf0CK+gXWEC/wAr6BVYE0C9ldxlXkh5++GH9+c9/1oIFC9SuXbuyeixi2E033aQ33nhDy5Yti/l3SuQ5duyYunTpoqysLC1YsEBJSUm+R4Jne/fuVbt27dSiRQtNnz49FNEtSatXr1aHDh1077336k9/+pPvcRAFPvroI/Xq1UsvvfSShg4d6nucMkO/4OfoF1hAv8AK+gVW0C+wgH6BFfQLrKBfYAH9AivoF1hBv8AC+gVWBNQvZXsZNycnR927d9ePP/6oL774QhUrViyrRyMGvf322xo4cKDefPNNDRw40Pc4ZWrDhg0655xzdMstt2js2LG+x4FngwcP1uzZs7V8+XLVrl3b9zhl6qmnntJdd92lTz/9VBdeeKHvceDR9u3b1bZtW1100UV6/fXXfY9TpugX/BT9AivoF1hAv8AK+gVW0C+wgH6BFfQLrKBfYAH9AivoF1hBv8CCAPulbC/jStI333yjc845R71799akSZPK8tGIIevXr1fHjh111VVXacKECb7HCcRLL72kG2+8UW+++aYuu+wy3+PAk7/97W/6zW9+oxkzZqhXr16+xylzzjn169dPy5Yt0xdffKHU1FTfI8GD7Oxs9erVSxs3btSSJUtUrVo13yOVOfoFEv0CO+gXWEC/wAr6BVbQL7CAfoEV9AusoF9gAf0CK+gXWEG/wIKA+6XsL+NK0scff6xevXrp8ccf13/913+V9eMR5TIzM3X++ecrMTFR8+fPV4UKFXyPFJibb75Zr732mhYuXKiWLVv6HgcRtmDBAl100UX6wx/+oPvuu8/3OIHZvXu3OnbsqNTUVM2ZM0flypXzPRIi7N5779X48eM1d+5ctW/f3vc4gaFfbKNfYAX9AivoF1hAv8AK+gVW0C+wgH6BFfQLrKBfYAH9AivoF1gRcL9slwvIgw8+6MqVK+c+++yzoI5AFMrJyXHXXHONS0lJcZs3b/Y9TuAOHz7sOnXq5Fq2bOn27dvnexxE0Pfff+/S0tJc3759XXZ2tu9xArds2TJXsWJFd9ddd/keBRH2xhtvuLi4OPf3v//d9ygRQb/YRL/ACvoFVtAvsIB+gRX0C6ygX2AB/QIr6BdYQb/AAvoFVtAvsCIC/fJjYJdxc3Jy3IABA1zNmjXd+vXrgzoGUebPf/6zS0xMdP/85z99jxIxW7Zscampqa5Pnz7u6NGjvsdBBGRmZrpOnTq5Jk2auF27dvkeJ2ImTZrk4uLi3LPPPut7FETIv//9b1epUiV36623+h4lYugXm+gX+sUC+oV+sYJ+oV+soF/oFwvoF/rFCvqFfrGCfqFfLKBf6Bcr6Bf6xQr6hX6xgH6hX6yIUL8EdxnXOecOHjzozjvvPNe4cWP3448/BnkUosDrr7/u4uLi3NNPP+17lIjL+x/s8OHDfY+CgGVnZ7uBAwe6GjVquDVr1vgeJ+Luu+8+l5CQ4N577z3foyBg3377rUtLS3O9evUy9wct+sUW+oV+sYB+oV+soF/oFyvoF/rFAvqFfrGCfqFfrKBf6BcL6Bf6xQr6hX6xgn6hXyygX+gXKyLYL8FexnXOuW3btrn69eu7Ll26uEOHDgV9HDyZPXu2S0pKcqNHj/Y9ijdvv/22i4+Pd4888ojvURCgUaNGueTkZLN/BUlOTo4bOnSoq1Klilu2bJnvcRCQ3bt3u7PPPtu1adPG7d271/c4XtAvNtAv9IsV9Av9YgH9Qr9YQb/QL1bQL/SLBfQL/WIF/UK/WEG/0C8W0C/0ixX0C/1iBf1Cv1gQ4X4J/jKuc86tXLnSVa9e3fXt29cdOXIkEkcighYtWuSqVKnirrrqKpedne17HK+efPJJfox5iD3wwAMuPj7eTZ482fcoXmVlZbnu3bu71NRUk++OCrv9+/e7Cy64wNWrV8998803vsfxin4JN/rlP+iXcKNfctEv4Ua//Af9Em70y3/QL+FGv+SiX8KNfvkP+iXc6Jf/oF/CjX7JRb+EG/3yH/RLuNEv/0G/hBv9kot+CTcP/RKZy7jOObdw4UJXuXJlN3DgQHN/XUGYrVixwqWkpLhLLrnEHT582Pc4UeH+++938fHxbtKkSb5HQRl66qmnXFxcnPu///s/36NEhczMTNelSxdXt25dt3HjRt/joIxkZWW5Xr16uVq1arnVq1f7Hicq0C/hRL+cjH4JJ/rlRPRLONEvJ6Nfwol+ORn9Ek70y4nol3CiX05Gv4QT/XIy+iWc6JcT0S/hRL+cjH4JJ/rlZPRLONEvJ6JfwslTv0TuMq5zzs2ZM8dVqFDBXXfdde7YsWORPBoB+PLLL93pp5/uunXr5g4ePOh7nKhy9913u8TERDdt2jTfo6AMTJgwwcXFxblHH33U9yhRZffu3a5du3auUaNGbsuWLb7HQSkdPnzY9e3b11WvXp2/guFn6JdwoV8KRr+EC/2SP/olXOiXgtEv4UK/FIx+CRf6JX/0S7jQLwWjX8KFfikY/RIu9Ev+6JdwoV8KRr+EqYo68QAAIABJREFUC/1SMPolXOiX/NEv4eKxXyJ7Gdc55z744ANXoUIFd9VVV/Ej+2PY0qVLXe3atV16errbt2+f73GiTk5Ojrv99ttdYmKie+WVV3yPg1IYN26ci4uLcw888IDvUaLSjz/+6Fq1auXq16/vNmzY4HsclNCBAwdcz549XbVq1dyCBQt8jxOV6JdwoF8KR7+EB/1SOPolHOiXU6NfwoF+KRz9Eh70S+Hol3CgX06NfgkH+qVw9Et40C+Fo1/CgX45NfolHOiXwtEv4UG/FI5+CQfP/RL5y7jOOffpp5+6KlWquL59+/KOkhi0aNEil5KS4rp160aInMJ9993n4uLi3JNPPul7FJTAmDFjeEdQEezatcudf/757vTTT3cZGRm+x0Ex7dmzx6Wnp7saNWq4hQsX+h4nqtEvsY1+KTr6JbbRL0VDv8Q2+qXo6JfYRr8UHf0S2+iXoqFfYhv9UnT0S2yjX4qOfolt9EvR0C+xjX4pOvolttEvRUe/xDb6pWjol9gWBf3i5zKuc859/vnnrnr16u7iiy92u3fv9jUGimn69OnutNNOc/369XOHDx/2PU5MeOCBB1xcXJx78MEHfY+CIjp27Ji74447XHx8vJswYYLvcWLC3r17XefOnV3NmjXd/PnzfY+DItq6das755xzXFpamlu9erXvcWIC/RKb6Jfio19iD/1SfPRLbKJfio9+iU30S/HRL7GHfik++iU20S/FR7/EJvql+OiX2EO/FB/9Epvol+KjX2IT/VJ89EvsoV+Kj36JTVHSL/4u4zrn3PLly13dunVdy5Yt3aZNm3yOgiL4v//7P5eYmOhuvPFG/oqFYvrf//1fl5CQ4H7961/z7y7KZWZmugEDBrjk5GQ3ZcoU3+PElMzMTNevXz+XnJzspk6d6nscnEJGRoarV6+ea9Gihdu4caPvcWIK/RJb6JeSo19iB/1ScvRLbKFfSo5+iS30S8nRL7GDfik5+iW20C8lR7/EFvql5OiX2EG/lBz9Elvol5KjX2IL/VJy9EvsoF9Kjn6JLVHUL34v4zrn3LfffuvatWvnUlNT3YIFC3yPg3wcO3bM3X333S4uLs498MADvseJWe+995477bTTXM+ePXk3XJTatm2b69ixo6tZs6abO3eu73Fi0rFjx9xvfvMbFx8f7x555BHf46AAH3zwgatSpYrr1q2b27Vrl+9xYhL9Ev3ol7JBv0Q/+qX06JfYQL+UHv0S/eiXskG/RD/6pfTol9hAv5Qe/RL96JeyQb9EP/ql9OiX2EC/lB79Ev3ol7JBv0Q/+qX06JfYEGX94v8yrnPO7du3z/Xp08eVL1/ePffcc77HwU/s2LHD9erVyyUnJ7tJkyb5HifmLV682NWpU8c1adLEZWRk+B4HPzF37lxXp04d16xZM7d+/Xrf48S8cePGuYSEBHf11Ve7AwcO+B4H/7+cnBz317/+1SUkJLihQ4e6rKws3yPFNPoletEvZYt+iV70S9miX6IT/VK26JfoRb+ULfoletEvZYt+iU70S9miX6IX/VK26JfoRb+ULfolOtEvZYt+iV70S9miX6IX/VK26JfoFKX9Eh2XcZ3L/Rc0ZswYFx8f74YOHeoOHjzoeyTzlixZ4ho2bOjq1q3Lu7bK0I8//ui6d+/ukpOT3d///nff48A5N2HCBJeUlOT69u3Lu7bK0Jw5c1xqaqpr3ry5W716te9xzNu3b5+7/PLLXWJiohszZozvcUKDfok+9Esw6JfoQ78Eg36JLvRLMOiX6EO/BIN+iT70SzDol+hCvwSDfok+9Esw6JfoQ78Eg36JLvRLMOiX6EO/BIN+iT70SzDol+gSxf0SPZdx87zzzjuuatWq7txzz3Vffvml73FMysnJcePHj3fJycmuZ8+ebvv27b5HCp0jR464O+64w0lyt9xyi8vMzPQ9kkm7du1yV155pUtISHAPPvigy8nJ8T1S6Hz99deuQ4cOrmrVqu7VV1/1PY5ZixYtck2aNHFnnHGG++yzz3yPE0r0i3/0S/Dol+hAvwSPfokO9Evw6Bf/6Jfg0S/RgX4JHv0SHeiX4NEv/tEvwaNfogP9Ejz6JTrQL8GjX/yjX4JHv0QH+iV49Et0iPJ+ib7LuM45t379etexY0dXsWJF98wzz/gex5Tvv//eXXrppS4xMdHdf//97tixY75HCrWpU6e66tWruxYtWrglS5b4HseUOXPmuHr16rk6deq4WbNm+R4n1A4dOuR+85vfuLi4ODdkyBC3Z88e3yOZcezYMffQQw+5cuXKuZ49e7rvvvvO90ihRr/4Q79EFv3iD/0SOfSLP/RLZNEv/tAvkUW/+EO/RA794g/9Eln0iz/0S2TRL/7QL5FDv/hDv0QW/eIP/RJZ9Is/9Evk0C/+xEi/ROdlXOdy3znx3//93y4hIcH169fPbd261fdIoffmm2+61NRU17BhQzd//nzf45ixZcsW161bN5eUlOQefvhhd/ToUd8jhdrBgwfdPffc4xISEtyAAQN451sEzZgx4/hrzMcff+x7nNBbv36969q1qytfvrx77LHHeOdbhNAvkUe/+EG/RBb94g/9Eln0ix/0S+TRL37QL5FFv/hDv0QW/eIH/RJ59Isf9Etk0S/+0C+RRb/4Qb9EHv3iB/0SWfSLP/RLZMVQv0TvZdw8n376qWvcuLGrWrWqmzBhQjT/y4xZW7dudZdddpmLi4tzN954o9u7d6/vkczJzs52jzzyiKtQoYJr166d++KLL3yPFEqffPKJa9KkiatSpYp79tlnfY9j0g8//HD89WbYsGFu165dvkcKnaNHj7oxY8a4ChUquLZt27qlS5f6Hskk+iV49It/9Etk0C/+0S/Bo1+iA/0SPPrFP/olMugX/+iX4NEv0YF+CR794h/9Ehn0i3/0S/Dol+hAvwSPfvGPfokM+sU/+iV4Mdgv0X8Z1znnMjMz3ejRo11iYqLr2rWrW7Fihe+RQuHYsWPub3/7m6tWrZpr3Lix++ijj3yPZN66detct27dXGJiorvrrrsIwzLyww8/uGHDhrm4uDjXv39/9+233/oeybw33njDnXHGGe700093r776Kn/QLCPz58937dq1c8nJye6vf/2rO3LkiO+RTKNfgkG/RB/6JRj0S/ShX4JBv0QX+iUY9Ev0oV+CQb9EH/olGPRLdKFfgkG/RB/6JRj0S/ShX4JBv0QX+iUY9Ev0oV+CQb9EH/olGDHaL7FxGTfP4sWLXYcOHVxiYqK77bbb3I4dO3yPFLM+/vhj16ZNG5eUlOTuuecel5mZ6Xsk/P9ycnLcc88951JSUlxqaqp77rnnXHZ2tu+xYlJWVpZ79NFHXdWqVV1aWpqbNm2a75HwE7t27XIjRoxw8fHx7sILL3SLFi3yPVLM+uabb9yQIUNcXFyc+8UvfuHWrVvneyT8BP1SduiX6EW/lB36JbrRL2WHfolu9EvZoV+iF/1SduiX6Ea/lB36JbrRL2WHfole9EvZoV+iG/1SduiX6Ea/lB36JXrRL2WHfolu9EvZifF+ia3LuM7l/jjzF1980Z1xxhmuevXq7tFHH3UHDx70PVbMWLVqlbvsssucJPfLX/7SrV271vdIKMCuXbvcf/3Xf7nExER3zjnnuA8++MD3SDEjJyfHvfHGG65Zs2auQoUK7n/+53/cgQMHfI+FAixevNh16dLFxcfHu+uuu85t3LjR90gxY8+ePe5Pf/qTq1SpkmvUqJF76623fI+EAtAvpUO/xA76peTol9hCv5Qc/RI76JfSoV9iB/1ScvRLbKFfSo5+iR30S+nQL7GDfik5+iW20C8lR7/EDvqldOiX2EG/lBz9Elvol5ILSb/E3mXcPPv27XO///3vXcWKFd0ZZ5zhxo8f7w4fPux7rKi1du1aN2TIEBcfH+/atGnDN7YYsnr1ate3b18nyaWnp7tPPvnE90hRKycnx7377ruuXbt2Lj4+3l1zzTVu8+bNvsdCEeTk5LjJkye7xo0bu6SkJHfzzTe7LVu2+B4rau3fv9899NBDrkaNGq569epuzJgxfA+MEfRL8dAvsYt+KTr6JXbRL8VDv8Qu+qV46JfYRb8UHf0Su+iX4qFfYhf9Ujz0S+yiX4qOfold9Evx0C+xi34pHvoldtEvRUe/xC76pXhC1i+xexk3z/fff+/uuOMOl5yc7OrVq+cef/xxt2/fPt9jRY2lS5e6IUOGuP+PvT8Ps7q+D/7/12wgKoKICriwuMQN1LoGYzVKVOLSGq2muWJaG2vj3ajJN9E2zZXYO2nv25i7d7Wx9eodaxUQFfclihriEsEYJSgBdwEXBGXfRIaZef/+yM9RZICZwznnM3Pej8d1eV1y5nA+r4GXn3kOvGdsbGxM+++/f7r11lt9y/ceatq0aWnMmDEpItJxxx2XHnjggdTW1lb0WN1CS0tLuu2229Jhhx2W6urq0plnnplmzpxZ9FiUoLm5Of385z9PQ4cOTb17905/8zd/4ysYP2Hx4sXpRz/6Udp5551T37590w9+8IO0bNmyoseiBPpl8/RL7dAvm6Zfaod+2Tz9Ujv0y+bpl9qhXzZNv9QO/bJ5+qV26JfN0y+1Q79smn6pHfpl8/RL7dAvm6dfaod+2TT9Ujv0y+bVaL/0/MO4H3nnnXfSpZdemrbffvvUr1+/dPnll6e333676LEK0dbWlh5++OH0hS98IUVEGjVqVBo/fnxqaWkpejTK4IknnkinnHJKqqurSwcccEC6/vrr09q1a4seqxCrVq1K//Zv/5aGDx+e6uvr01lnnZWmT59e9FiUwbp169J1112X9t5771RfX5/+9E//ND355JNFj1WY1157Lf3t3/5t2nbbbdOAAQPS97///bR48eKix6IM9MvH9Ett0y8f0y+1S79sSL/ULv3yMf1S2/TLx/RL7dIvG9IvtUu/fEy/1Db98jH9Urv0y4b0S+3SLx/TL7VNv3xMv9Qu/bKhGu+X2jmM+5EVK1akq6++Ou2+++6pvr4+jRkzJk2aNCk1NzcXPVrFLViwIF155ZVp7733bv+W7vfdd5+vHqlRr776arrkkktSnz59Ur9+/dKFF16YZsyYUfRYVfHcc8+lCy+8MPXt2zf17t07nXfeeemll14qeiwqoLW1Nd13333tXxW33377pSuvvDItWrSo6NEqbt26dWnSpEnptNNOSw0NDWnYsGHpyiuvTMuXLy96NCpAv+iXXOgX/ZID/aJfcqFf9Esu9It+yYF+0S+50C/6JRf6Rb/kQL/ol1zoF/2SC/2iX3KgX7Lol9o7jPuRdevWpdtuuy2NGTMm1dfXp9122y1997vfTc8++2zRo5XVqlWr0s0335zOOOOM1NjYmAYMGJAuvfTSNGvWrKJHo0o+HaFHH310uuaaa9L8+fOLHq2s5s6dm37yk5+kUaNGpYhIBx10ULr66qvTkiVLih6NKnn22WfbI3SbbbZJ5557brrrrrtq6ivjWltb05NPPpm++c1vpoEDB6bGxsZ0xhlnpPvuu89Xd2ZCv+iXXOgX/ZIL/aJfcqBf9Esu9It+yYV+0S850C/6JRf6Rb/kQr/olxzoF/2SC/2iX3KhX2q2X96vSymlqHFz5syJ//7v/45bbrkl3njjjRgxYkScc845cdppp8XRRx8dDQ0NRY/YJYsXL45HHnkk7rrrrnjwwQejpaUlTjzxxDjvvPPiS1/6UmyzzTZFj0gBUkrx2GOPxY033hj33ntvrF69Oj73uc/F2WefHV/84hdjr732KnrELnvxxRfjwQcfjNtvvz2effbZGDBgQJx11llx/vnnx9FHH130eBRk9erVcdttt8WECRPiySefjO222y7OOOOMOPPMM2PMmDHRr1+/okfskubm5njqqafivvvuizvuuCPmz58fBx10UPz5n/95/OVf/mUMGTKk6BEpiH4hB/qFXOgXcqFfyIF+IRf6hVzoF3KgX8iFfiEX+oUc6BdyoV9qzqIsDuN+0vTp0+O2226LO++8M+bMmRM77rhjfOELX4hTTjkljj322Nh7772LHnEja9eujeeeey6mTJkSDz30UDz33HPR0NAQxx13XJx77rlx5plnxk477VT0mHQjH374YUyePDkmTZoUv/jFL2LlypWxzz77xNixY+MLX/hCjB49OgYMGFD0mBt57733YurUqfHII4/E5MmT480334yddtopzjjjjDjnnHPixBNPjKampqLHpBtZsGBB3HHHHTFp0qR4+umno66uLkaPHh1jx46N448/Pg477LButzMppXjppZfiySefjMmTJ8eUKVNi9erVccABB8TZZ58d55xzThx44IFFj0k3o1/IgX4hF/qFXOgXcqBfyIV+IRf6hRzoF3KhX8iFfiEH+oVc6JeakN9h3E965ZVX4qGHHorJkyfHk08+GWvXro1dd901jjnmmBg9enQcfPDBMXLkyNh1112rNlNLS0u88sorMWvWrHj22Wdj2rRpMX369Ghubo4999wzTjnllDjllFNizJgx0bdv36rNRc+1fv36mDp1akyePDkmT54cM2fOjIiIAw44II455pg48sgjY9SoUXHggQfGtttuW7W5Vq1aFbNmzYqZM2fGb37zm5g2bVq8+uqr0dDQEIcddliccsopMXbs2DjiiCN63FfvUYylS5e2h+zDDz8cCxcujD59+sQRRxwRn/vc5+LQQw+NUaNGxV577VXVnXrnnXdi1qxZMWPGjJg2bVpMmzYtli5dGttvv32ccMIJMXbs2DjllFNi2LBhVZuJnk2/kAP9Qi70C7nQL+RAv5AL/UIu9As50C/kQr+QC/1CDvQLudAvPVbeh3E/qbm5OZ577rmYNm1aPPXUU/HMM8/EwoULIyJil112iYMOOihGjBgRw4YNi+HDh8fQoUNj5513jp122qlLX5Xz4YcfxpIlS2LJkiXx7rvvxrx582Lu3Lkxb968eO2112L27NnR3NwcTU1Nsf/++8cxxxzT/k/Gi0oZLVmyJKZNmxZTp06NqVOnxowZM2LNmjVRX18fe+21V+y///4xfPjw9l3fbbfd2nd9++237/R1Vq1aFYsXL45FixbFO++8077nc+bMiZdeeinmzZsXKaXYYYcd4rDDDovPfe5zMXr06Bg9enTssMMOFfwVIBevvvpq+z39o9htbW2NbbfdNg444IDYZ5992nd92LBhMXjw4PZ7eq9evTp1jba2tvZ7+uLFi2Pu3Lnt/8yZMydmzZoVS5cujYiIPfbYI44++uj2e/ohhxwSjY2NlfwlIAP6hVzoF3KhX8iBfiEX+oVc6BdyoF/IhX4hF/qFHOgXcqFfyIV+6TEcxt2cRYsWxQsvvBC///3v48UXX2y/mb711luxfv369ufV19dHv379on///lFXVxe9evWKurq66NOnTyxfvjwi/hAhK1eujNWrV29wjf79+7ff9Pfee+8YOXJkjBw5Mg444IBO/8cAW6OtrS3mzJnTvuuvvvpq+65/FOQf2WabbWKHHXZoj5LtttsuWlpaoqGhIT744IOI+EOErFixIpqbm9t/Xl1dXQwePDiGDx8ew4cPj/32269914cNGxZ1dXXVe4fJ1tq1a2P27Nkxc+bMmDVrVrz++usxb968mDdvXqxatWqD5/bt2zf69evXfh/u379/fPjhh9HS0hItLS3R1tYWK1asiGXLlm3w83r37h1Dhw5tv68fdNBBMXLkyBg1alTsuOOOVXtfyZt+IQf6hVzoF3KhX8iBfiEX+oVc6BdyoF/IhX4hF/qFHOgXcqFfui2HcUvR2toaCxYsaD8NvmjRolixYkWsWLEi2traorm5OW699dY47LDD4sADD4yIiD59+kTfvn3bT53vtNNOMWjQoOjfv3/B7w1s2tq1a2P+/Pntu75kyZJYvXp1rFy5MiIili9fHtdff3184xvfaA+Ufv36bbDrAwcOjCFDhkTv3r2LfFdgsxYvXhzvv/9++54vXbo0Vq1aFR9++GGklOLZZ5+Nt956K/7kT/4kmpqaorGxMfr27RsDBgzYYNcHDx4srum29Au50C/kQr+QA/1CLvQLudAv5EC/kAv9Qi70CznQL+RCv5AL/VIoh3Er4YMPPoidd945/uqv/ip+9rOfFT0OVMydd94ZZ599djz++ONx3HHHFT0OVMw555wTTzzxRLz77rvR0NBQ9DhQEfqFXOgXcqFfyIF+IRf6hVzoF3KgX8iFfiEX+oUc6BdyoV/IhX6pqEX1RU9Qi+6777744IMPYsKECdHS0lL0OFAx48ePj4iIiRMnFjwJVM6aNWvi/vvvj/fffz+eeOKJoseBitEv5EK/kAP9Qi70C7nQL+RAv5AL/UIu9As50C/kQr+QC/1CDvRL5TmMWwE333xz1NfXx/Lly2PKlClFjwMVsXLlynjwwQcjIuLWW2+N9evXFzwRVMbdd98dzc3N0djYKLypafqFHOgXcqFfyIV+IQf6hVzoF3KhX8iBfiEX+oVc6BdyoF/IhX6pPIdxy2zZsmXx8MMPR1tbWzQ1NVlcatZdd90Vra2tEfGHMHnkkUcKnggqY/z48VFXVxctLS1x2223xbp164oeCcpOv5AL/UIu9As50C/kQr+QC/1CDvQLudAv5EK/kAP9Qi70C7nQL5XnMG6Z3XHHHe036PXr18ftt98ea9euLXgqKL+PbtAREU1NTXHzzTcXPBGU3+LFi2PKlCnt9/U1a9bE5MmTC54Kyk+/kAv9Qg70C7nQL+RCv5AD/UIu9Au50C/kQL+QC/1CLvQLOdAv1eEwbpmNHz9+gx+vW7cufvGLXxQ0DVTG+++/H0888cQG4X333XfHmjVrCp4Myuv222/f4McNDQ3Cm5qkX8iBfiEX+oVc6BdyoF/IhX4hF/qFHOgXcqFfyIV+IQf6hVzol+pwGLeMFixYEFOnTo22trb2x+rr62PChAkFTgXld9ttt7V/VdBHmpub4/777y9oIqiM8ePHR0qp/cctLS1x7733xsqVKwucCspLv5AL/UIu9As50C/kQr+QC/1CDvQLudAv5EK/kAP9Qi70C7nQL9XhMG4Z3XLLLVFfv+EvaUtLSzz44IOxfPnygqaC8hs3blz7VwV9pK6uTnhTU95+++34zW9+s8EnmBF/uK/fd999BU0F5adfyIV+IQf6hVzoF3KhX8iBfiEX+oVc6BdyoF/IhX4hF/qFHOiX6nEYt4w6ukFHRLS1tcXdd99dwERQfm+++WZMnz59g6+WiIhobW2Nhx9+OJYsWVLQZFBet9xySzQ0NGz0uPCm1ugXcqBfyIV+IRf6hRzoF3KhX8iFfiEH+oVc6BdyoV/IgX4hF/qlehzGLZM33ngjZs6cudEN+iPjx4+v8kRQGTfffHM0NjZ2+LaUkvCmZmzqE8zW1tb45S9/Ge+//34BU0F56RdyoV/IhX4hB/qFXOgXcqFfyIF+IRf6hVzoF3KgX8iFfiEX+qV6HMYtkwkTJmzyBt3a2hpPPPFELFy4sMpTQfmNGzcu1q9f3+HbUkoxbty4Kk8E5ffyyy/H7NmzN/kJZl1dXdx5551VngrKT7+QC/1CDvQLudAv5EK/kAP9Qi70C7nQL+RAv5AL/UIu9As50C/V5TBumUyYMGGTN+iIiPr6+rj99turOBGU3+9///t45ZVXNvn2tra2eOqpp2L+/PlVnArKb+LEidHU1LTJt7e1tQlvaoJ+IQf6hVzoF3KhX8iBfiEX+oVc6BdyoF/IhX4hF/qFHOgXcqFfqsth3DKYMWNGvP7665t9Tmtrq8Wlx7v11ls3e4OO+EN4T5o0qUoTQWVs7ivgIv4QI88880y8/fbbVZwKyku/kAv9Qi70CznQL+RCv5AL/UIO9Au50C/kQr+QA/1CLvQLudAv1eUwbhnccsstW3xOSimmT58ec+bMqcJEUH4ppbj55ps3e4OO+EN4T5w4sUpTQfk9++yz8eabb27xeSmlTt3/obvSL+RAv5AL/UIu9As50C/kQr+QC/1CDvQLudAv5EK/kAP9Qi70S/U1Fj1ALTjnnHPipJNO2uCxr371q3H66afHueeeu8Hj2267bTVHg7JZv359XH/99Rs89sorr8Q3v/nNGD9+fAwaNGiDt6WUoq6urpojQlkMGjQoHn300Q0e+/nPfx4vvPBCXHvttRs8vssuu1RzNCgr/UIO9Au50C/kQr+QA/1CLvQLudAv5EC/kAv9Qi70CznQL+RCv1Sfw7hlcPjhh2/0WJ8+fWKfffaJMWPGFDARlF+vXr022ud+/fpFRMQxxxwTw4cPL2IsKLs99tgj9thjjw0ee+SRR2Lu3Lnu6dQU/UIO9Au50C/kQr+QA/1CLvQLudAv5EC/kAv9Qi70CznQL+RCv1RffdEDAAAAAAAAAAAAAEBP5TAuAAAAAAAAAAAAAJTIYVwAAAAAAAAAAAAAKJHDuAAAAAAAAAAAAABQIodxAQAAAAAAAAAAAKBEDuMCAAAAAAAAAAAAQIkcxgUAAAAAAAAAAACAEjmMCwAAAAAAAAAAAAAlchgXAAAAAAAAAAAAAErkMC4AAAAAAAAAAAAAlMhhXAAAAAAAAAAAAAAokcO4AAAAAAAAAAAAAFAih3EBAAAAAAAAAAAAoEQO4wIAAAAAAAAAAABAiRzGBQAAAAAAAAAAAIASOYwLAAAAAAAAAAAAACVyGBcAAAAAAAAAAAAASuQwLgAAAAAAAAAAAACUyGFcAAAAAAAAAAAAACiRw7gAAAAAAAAAAAAAUCKHcQEAAAAAAAAAAACgRA7jAgAAAAAAAAAAAECJHMYFAAAAAAAAAAAAgBI5jAsAAAAAAAAAAAAAJXIYFwAAAAAAAAAAAABK5DAuAAAAAAAAAAAAAJTIYVwAAAAAAAAAAAAAKJHDuAAAAAAAAAAAAABQIodxAQAAAAAAAAAAAKBEDuMCAAAbGddbAAAgAElEQVQAAAAAAAAAQInqUkqp6CHK4bTTTot333236DHavfvuu7H99tvHDjvsUPQo7b71rW/F1772taLHYCu8+OKL8dWvfrXoMdo1NzfHe++9F4MHD47Gxsaix2n3wAMPxJAhQ4oeg61wzTXXxE033VT0GO2WL18e69ati1133bXoUdodeOCBMX78+KLHYCvply3TLz2ffukc/dLz6Zct0y+1Qb9smX7p+fRL5+iXnk+/bJl+qQ36Zcv0S8+nXzpHv/R8+mXL9Ett0C9bpl96Pv3SOfql59MvW1ZD/bKo+9w9ttKsWbNi+PDhcdRRRxU9Srd03XXXxcKFC4seg620Zs2amDFjRnzjG9+Ifv36FT1Ot7Nw4cK46aabYt26dUWPwlZ65513YsGCBfEXf/EXRY/SLT322GPx8ssvFz0GZaBfNk+/1Ab9snn6pXbol83TL7VDv2yefqkN+mXz9Evt0C+bp19qh37ZPP1SG/TL5umX2qFfNk+/1A79snn6pTbol83TL7VDv2xerfVLzRzGjYgYO3ZsXH755UWP0S3deuutRY9AGV1++eUxfPjwosfodp599tlu9dUkbJ3dd989rrzyyqLH6JYuu+yyePzxx4segzLRL5umX2qLfumYfqkt+mXT9Ett0S+bpl9qi37pmH6pLfpl0/RLbdEvm6Zfaot+6Zh+qS36ZdP0S23RL5umX2qLfumYfqkt+mXTaq1f6oseAAAAAAAAAAAAAAB6KodxAQAAAAAAAAAAAKBEDuMCAAAAAAAAAAAAQIkcxgUAAAAAAAAAAACAEjmMCwAAAAAAAAAAAAAlchgXAAAAAAAAAAAAAErkMC4AAAAAAAAAAAAAlMhhXAAAAAAAAAAAAAAokcO4AAAAAAAAAAAAAFAih3EBAAAAAAAAAAAAoEQO4wIAAAAAAAAAAABAiRzGBQAAAAAAAAAAAIASOYwLAAAAAAAAAAAAACVyGBcAAAAAAAAAAAAASuQwLgAAAAAAAAAAAACUyGFcAAAAAAAAAAAAACiRw7ib8E//9E8xbdq0Dt/W1tZW1mt19HpvvPFGXHbZZWW/FnxSNfe8I/acaqnmrq9evXqjx+w61bK5XS83/UJRqrnnHbHnVEs1d12/UKTN7XpHu7k19AtFqeaed8SeUy3V3HX9QpE2testLS3R2tpa1mvpF4pSzT3viD2nWqq56/qFIm3pzxpXrVoVS5YsKcu19AtFqeaed8SeUy3V3HX90nUO43bgoYcein/913+NkSNHtj/26quvxqWXXhrDhg2LnXbaKU477bSYMmVKydfY0uuNGDEiHn744fjP//zPrXpfYFOqseeftM8++8Rf//Vfb/CYPacaqrHrv/vd7+Lkk0+OAQMGRN++fWPQoEHxN3/zN7Fy5cqIsOtUR0e7/kkd3Ye7Sr9QtGrs+ZZez55TDdXYdf1Cd9DRrm9pN7tKv1C0auz5J+kXilKNXdcvdAcd7frNN98co0ePjr59+8Y222wT++23X1x77bUl/8WkfqFo1djzT9IvFKUau65f6A629GeNS5Ysif322y+OPfbYkq+hXyhaNfb8k/QLRanGruuXreMw7qc0NzfHxRdfHJdeemn07ds3IiLWrl0bZ5xxRtxwww1x8sknx0UXXRSvvfZanH766fHkk092+Rqdeb26urr4wQ9+EP/wD/8Q77//flnfR6jGnn/SjTfeGK+//vpGj9tzKq0au/7cc8/FCSecENOnT4+vfOUr8YMf/CD69esX/+///b8YM2ZMtLW12XUqrqNd/6RN3Ye7Qr9QtGrseWdez55TadXYdf1Cd9DRrndmN7tCv1C0auz5J+kXilKNXdcvdAcd7fq4cePivPPOi2XLlsWll14a/+N//I9YvXp1XHzxxfG//tf/6vI19AtFq8aef5J+oSjV2HX9QnewpT9rjIj4+te/Hu+++27J19AvFK0ae/5J+oWiVGPX9UsZpBoxdOjQ9JOf/GSrX+c//uM/Uq9evdJ7773X/ti3v/3tFBHpwQcfbH9s4cKFadddd03Dhw/v8jU6+3otLS1p9913TxdffHGJ783HyvXrQ7F++9vfpohIc+bM2arXqcaev/322+mCCy5IBx98cIqIFBHpggsu2Oh55dzzcv36ULzvfve76fDDD9/q16nGrv/FX/xF6tWrV5oxY8YGj5944okpItKkSZNSSuXd9XL9+lC8SvZLZ+/DnaVfKFUl+6Xce65f2BqV7Jdy77p+YWtUsl86u5udpV8oVSX7pdx7rl/YGpXsl3Lvun5ha1SyX0aNGpX23XfftGLFivbH5s+fn3r16pUGDRrU5WvoF0pVyX4p957rF7ZGJful3LuuX9galeyXT7+9d+/eacCAAWn//fcv6Rr6hVJVsl8+/fat3XP9wtaoZL98+u1bu+v6Zau97zvjfspPf/rTOOWUU2KXXXZpf+zGG2+MUaNGxdixY9sf23XXXePkk0+OuXPnxjPPPNOla3T29RoaGuLss8+OG264IVatWrWV7xl8rBp7vmrVqnj11VejX79+ccQRR2zyefacSqrGrk+bNi0OOeSQOOSQQzZ4/Pzzz4+IiN/+9rcRYdeprI52vbP34c7SLxStGnuuX+gOqrHr+oXuoKNd7+xudpZ+oWjV2HP9QndQjV3XL3QHn971FStWxKxZs2Ls2LGxww47tD9vyJAhccIJJ8TSpUtj/fr1XbqGfqFo1dhz/UJ3UI1d1y90Bx21+kdmz54d3/nOd+InP/lJDB48uORr6BeKVo091y90B9XYdf2y9RzG/YTZs2fH3Llz46CDDmp/bPHixbFs2bIYM2bMRs/fd999I+IP36K5s7r6egcccECsWbMmpkyZ0ulrwOZUY88jIvbff/944okn4oknnoiJEydu9rn2nEqoxq6vX78+Tj755PjmN7+50dvefvvtiIgYMGBA+2N2nUroaNcjunYf3hL9QtGqseddfT17TiVUY9f1C91BR7ve1d3cEv1C0aqx5xH6heJVY9f1C91BR7ve2NgYTz75ZPzd3/3dBs9dsWJFzJw5M0466aRoamrq9DX0C0Wrxp5H6BeKV41d1y90B5v6s8aIiA8//DD+/M//PI499ti45JJLSr6GfqFo1djzCP1C8aqx6/qlPBzG/YRHH300IiL23nvv9sdeeeWViIgOT41/5jOfiYiI999/v9PX6OrrffTYI4880ulrwOZUY8+7yp5TCdXY9aampvjZz34W55133gaPv//++/Hv//7v0dTUFKeddtpG17DrlFNHu15u+oWiVWPPu8qeUwnV2HX9QnfQ0a53dTe3RL9QtGrseVfZcyqhGruuX+gOOtr17bbbLo455pj23rj66qvj29/+dhxxxBHR2toa3/ve97p0Df1C0aqx511lz6mEauy6fqE72NyfNV522WXx7rvvxo033hh1dXUlX0O/ULRq7HlX2XMqoRq7rl/Ko7HoAbqTefPmRcSGi/v6669HRMdfqT906NCIiFi+fHmnr9HV1/tocV9++eVOXwM2pxp73lX2nEooatcfeOCB+PrXvx6LFi2Kq6++OkaOHNn+NrtOJXS06+WmXyhaNfa8q+w5lVDUrusXqq2zu7653dwS/ULRqrHnXWXPqYSidl2/UG2d2fXvf//78cEHH0RExIEHHhh9+vTp0jX0C0Wrxp53lT2nEoradf1CtW1q1x944IG49tpr46677tqq/5V5hH6heNXY866y51RCUbuuX7rOd8b9hEWLFkXEhovbu3fviIhYunTpRs9fs2ZNRETsuOOOnb5GV19v1113jf79+8d7773X6WvA5lRjz7vKnlMJ1d71N954I84444w4/fTTY4cddohHHnlko/8FgF2nEjra9XLTLxStGnveVfacSqj2rusXirKlXe/Mbm6JfqFo1djzrrLnVEK1d12/UJTOtPqaNWvi1VdfjRtuuCGWLFkSRx11VCxcuLDT19AvFK0ae95V9pxKqPau6xeK0tGuL1iwIM4///y44IIL4swzz9zqa+gXilaNPe8qe04lVHvX9UvpfGfcT1i7dm1E/OHbLn9k0KBBERExZ86cjZ7/UVDsvPPOnb5GKa+3zTbbdPr1YUuqseelsOeUWzV3fcKECXHRRRdFXV1dXHXVVXHJJZe0f/L5aXadcuto18tNv1C0aux5Kew55VbNXdcvFGlzu96V3dwc/ULRqrHnpbDnlFs1d12/UKSOdj2lFCmlqK//+Pve7LPPPrHPPvtEfX19/OVf/mU8+OCD8Vd/9VeduoZ+oWjV2PNS2HPKrZq7rl8oUke7ft1118XixYtjxYoVcf7557c/Pn/+/Egpxfnnnx/77rtvfO973+vUNfQLRavGnpfCnlNu1dx1/bJ1fGfcT/joW+e/8sor7Y/tu+++UVdX12E8vPDCCxERcdRRR3X6Gl19vTVr1sTChQsrfhCSfFRjz7vKnlMJ1dr1Bx54IL72ta/FqFGjYtasWXHZZZdtMkTsOpXQ0a6Xm36haNXY866y51RCtXZdv1C0Te16V3ZzS/QLRavGnneVPacSqrXr+oWidbTrV155ZTQ0NMSDDz640fMHDhwYERFvv/12p6+hXyhaNfa8q+w5lVCtXdcvFK2jXd95553jkEMOiddeey2ef/759n/WrVsXH374YTz//PPx+uuvd/oa+oWiVWPPu8qeUwnV2nX9svUcxv2Eww47LCI2XNwhQ4bEH//xH8eTTz4Zb7zxRvvj69evj4kTJ8Zuu+3W/vM6o6uv99Fzdtttt5LfL/ikaux5V9lzKqFau/4P//AP0a9fv7jjjjtizz333Oxz7TqV0NGul5t+oWjV2POusudUQrV2Xb9QtE3teld2c0v0C0Wrxp53lT2nEqq16/qFonW06yNHjoyIiEcffXSj5//85z+PiIiDDz6409fQLxStGnveVfacSqjWrusXitbRrl988cUxY8aMjf7Zf//9Y8SIETFjxoz4r//6r05fQ79QtGrseVfZcyqhWruuX7ZeY9EDdCfHHXdcRHT8B4ennnpqnHPOOfH9738/dtxxx/jJT34Sc+bMiQceeCDq6uoiIuJf//Vf47LLLosf/vCH8cMf/nCT1+ns60V8vLif//zny/3ukqlq7XlX2HMqoRq7vmzZspg1a1Yceuih8S//8i8dPuf444+P0047LSLsOpWxqV3vLP1CT1CtPe8Ke04lVGPX9QvdQUe73pXd1C/0BNXa866w51RCNXZdv9AddLTrX/ziF2PkyJHxs5/9LPr37x8nn3xyzJ8/P26//fa4//7744gjjmjfS/1CT1CtPe8Ke04lVGPX9Qvdgb8/Igf+/ohc+PujnsNh3E844IADYvDgwRst7kknnRTjx4+PCy64IM4666yIiOjfv3/83//7f2Ps2LHtz2tra4vW1tZIKW32Op19vYg//EdUV1e30eNQqmrteVfYcyqhGrs+derUSCnF7373u/jd737X4XPq6uraY8SuUwmb2vXO0i/0BNXa866w51RCNXZdv9AddLTrXdlN/UJPUK097wp7TiVUY9f1C91BR7teX18f99xzT3z1q1+Nf/zHf4x//Md/bH/bl770pfi3f/u3aGz8w1/D6Rd6gmrteVfYcyqhGruuX+gO/P0ROfD3R+TC3x/1HA7jfso3vvGN+Jd/+ZdYvXp1bL/99u2Pf/nLX46zzz47nnvuuWhra4ujjjoqGhoaNvi53/nOd+LDDz+MESNGbPE6nXm9iIjbbrstzjzzTN/SmbKq1p5/ZO+9997sDd2eUymV3vXTTjutS2Fu16mUTe36RzZ3H9Yv9BTV2vPOvF6EPadyKr3r+oXu4tO73pXd1C/0FNXa84/oF4pS6V3XL3QXHbX6iBEj4qmnnoq5c+fGyy+/HH369InPfOYzG+2ffqGnqNaef0S/UJRK77p+obvY0p81fmT69OkbPaZf6Cmqtecf0S8UpdK7rl/Ko77oAbqbb37zm9HU1BTjx4/f6G2NjY1x9NFHx+jRozsMh9dffz1uuOGG+NznPtepa23p9aZOnRozZ86MK664ouvvCGxGNfd8S+w5lWTXycXmdn1L9As9RTX3fEvsOZVk18mFfiEH7unkwq6Ti03ten19fey1115x6qmnxgknnNDhX0TqF3qKau75lthzKsmukwt//kIOfE5KLux6z+Aw7qcMGDAgfvrTn8ZVV10V69ev79LPfeONN+L++++PPfbYoyyz/PM//3NcdNFFMWrUqLK8HnzEnpMLu04u7Do5sOfkwq6TC7tODuw5ubDr5MKukwN7Ti7sOrmw6+TAnpMLu94zOIzbgfPPPz8++9nPxpQpU7r0804++eQ44IADyjLDvHnzYsWKFfFP//RPZXk9+DR7Ti7sOrmw6+TAnpMLu04u7Do5sOfkwq6TC7tODuw5ubDr5MKukwN7Ti7sevfXWPQA3dXEiRMLvf6wYcNi6tSphc5A7bPn5MKukwu7Tg7sObmw6+TCrpMDe04u7Dq5sOvkwJ6TC7tOLuw6ObDn5MKud2++My4AAAAAAAAAAAAAlMhhXAAAAAAAAAAAAAAokcO4AAAAAAAAAAAAAFAih3EBAAAAAAAAAAAAoEQO4wIAAAAAAAAAAABAiRzGBQAAAAAAAAAAAIASOYwLAAAAAAAAAAAAACVyGBcAAAAAAAAAAAAASuQwLgAAAAAAAAAAAACUyGFcAAAAAAAAAAAAAChRY9EDlNM111wTt956a9FjRETEhx9+GNtss03RY7RbsGBB0SNQRqeffnr06tWr6DEionvt+gcffFD0CJTRiy++GH/0R39U9BgREZFSiubm5ujdu3fRo0RExPz582PPPfcsegzKRL9smn6pLfqlY/qltuiXTdMvtUW/bJp+qS36pWP6pbbol03TL7VFv2yafqkt+qVj+qW26JdN0y+1Rb9smn6pLfqlY/qltuiXTau1fqmZw7gXXXRRLFu2rOgx2j344IMxatSoGDRoUNGjRETESSedFEcffXTRY7CVBg8eHH/3d39X9Bjt2traYsKECfG1r32t6FE20L9//6JHYCudcMIJ0dDQUPQY7ebMmRNvv/12HHfccUWP0m6PPfYoegTKQL9snn6pDfqlc/RLz6dftky/1Ab9snn6pTbol87RLz2fftky/VIb9Mvm6ZfaoF86R7/0fPply/RLbdAvm6dfaoN+6Rz90vPply2rpX6pSymlooeoNevWrYtddtkl/vqv/zr+z//5P0WPAxXzwAMPxOmnnx5PP/202KWmfe1rX4tf/epX8fbbb0ddXV3R40BF6BdyoV/IhX4hB/qFXOgXcqFfyIF+IRf6hVzoF3KgX8iFfiEX+qWiFtUXPUEt+sUvfhErV66McePGRWtra9HjQMVMmDAhIiJuueWWgieByvnwww/jzjvvjPnz58fUqVOLHgcqRr+QC/1CDvQLudAv5EK/kAP9Qi70C7nQL+RAv5AL/UIu9As50C+V5zBuBUycODEaGhpi0aJF8etf/7rocaAi1qxZE/fee29ERNx8883Cm5p1//33x9q1a6OxsVF4U9P0CznQL+RCv5AL/UIO9Au50C/kQr+QA/1CLvQLudAv5EC/kAv9UnkO45bZqlWr4v7774/W1tZoamqKiRMnFj0SVMS9994b69ati4iIJUuWxGOPPVbwRFAZ48ePj4aGhmhpaYmJEyfG+vXrix4Jyk6/kAv9Qi70CznQL+RCv5AL/UIO9Au50C/kQr+QA/1CLvQLudAvlecwbpndfffd0dLSEhER69evj1tvvTWam5sLngrKb8KECVFf/4dbiPCmVq1cuTImT57cfl9fvnx5TJkypeCpoPz0C7nQL+RAv5AL/UIu9As50C/kQr+QC/1CDvQLudAv5EK/kAP9Uh0O45bZ+PHjo66urv3Hq1evjocffrjAiaD8li1bFo8++mj7t+Zfv3593HbbbbF27dqCJ4Pyuv3226Otra39x8KbWqVfyIF+IRf6hVzoF3KgX8iFfiEX+oUc6BdyoV/IhX4hB/qFXOiX6nAYt4wWLVoUjz32WPsNOiKioaEhbr755gKngvKbNGlSpJQ2eGzt2rUxefLkgiaCyhg/fvwGP16/fn3ccccd8cEHHxQ0EZSffiEX+oVc6BdyoF/IhX4hF/qFHOgXcqFfyIV+IQf6hVzoF3KhX6rDYdwymjRp0kaPtbS0xD333BOrV68uYCKojPHjx28UIw0NDTFhwoSCJoLyW7hwYfz617/e4BPMiIgPP/wwfvGLXxQ0FZSffiEX+oUc6BdyoV/IhX4hB/qFXOgXcqFfyIF+IRf6hVzoF3KgX6rHYdwyGjdu3EY36Ig/nCS/7777CpgIyu/dd9+Np59+eoNvXR7xh/C+//77Y8WKFQVNBuV12223RX39xh8mhTe1Rr+QA/1CLvQLudAv5EC/kAv9Qi70CznQL+RCv5AL/UIO9Au50C/V4zBumbz11lvx7LPPbnSDjoioq6vb6Fs9Q091yy23dHiDjohobW2Ne++9t8oTQWWMGzeuw3t6S0tLPPjgg7F06dICpoLy0i/kQr+QC/1CDvQLudAv5EK/kAP9Qi70C7nQL+RAv5AL/UIu9Ev1OIxbJhMnToyGhoYO39ba2hqPPvpoLFmypMpTQfmNGzduo29b/knCm1owZ86cmDFjRocxEhGRUop77rmnylNB+ekXcqFfyIF+IRf6hVzoF3KgX8iFfiEX+oUc6BdyoV/IhX4hB/qluhzGLZNx48ZFS0vLZp9zxx13VGkaqIzXX389Zs6c2eH/jiIioq2tLR577LF47733qjwZlNfEiROjsbFxk29PKQlvaoJ+IQf6hVzoF3KhX8iBfiEX+oVc6BdyoF/IhX4hF/qFHOgXcqFfqsth3DJ46aWX4qWXXtrsc1JKMW7cuCpNBJUxYcKEaGpq2uLz7rzzzipMA5Uzbty4WL9+/Sbf3tbWFk888US8++67VZwKyku/kAv9Qi70CznQL+RCv5AL/UIO9Au50C/kQr+QA/1CLvQLudAv1eUwbhlMnDhxi89pa2uL3/zmN/HOO+9UYSKojIkTJ272Bh3xh/8tRWf+m4DuaubMmfHaa69t8Xkppbj99turMBFUhn4hF/qFHOgXcqFfyIV+IQf6hVzoF3KhX8iBfiEX+oVc6BdyoF+qb9Pfg5hOO/HEE2PUqFEbPPa3f/u3cdJJJ8Wf/MmfbPD4pr69OXR369ati3/+53/e4LE33ngjvve978W1114bu+yyS/vjdXV1kVKKurq6ao8JW2277baLSZMmbfDYhAkTYvbs2fG///f/3uDx3XffvZqjQVnpF3KgX8iFfiEX+oUc6BdyoV/IhX4hB/qFXOgXcqFfyIF+IRf6pfrqko+OFTF8+PC46KKL4vLLLy96FKiYZ599No488siYM2dODB8+vOhxoGIuv/zyePzxx+O3v/1t0aNARekXcqBfyIV+IRf6hRzoF3KhX8iFfiEH+oVc6BdyoV/IgX4hF/qlohbVFz0BAAAAAAAAAAAAAPRUDuMCAAAAAAAAAAAAQIkcxgUAAAAAAAAAAACAEjmMCwAAAAAAAAAAAAAlchgXAAAAAAAAAAAAAErkMC4AAAAAAAAAAAAAlMhhXAAAAAAAAAAAAAAokcO4AAAAAAAAAAAAAFAih3EBAAAAAAAAAAAAoEQO4wIAAAAAAAAAAABAiRzGBQAAAAAAAAAAAIASOYwLAAAAAAAAAAAAACVyGBcAAAAAAAAAAAAASuQwLgAAAAAAAAAAAACUyGFcAAAAAAAAAAAAACiRw7gAAAAAAAAAAAAAUCKHcQEAAAAAAAAAAACgRA7jAgAAAAAAAAAAAECJHMYFAAAAAAAAAAAAgBI5jAsAAAAAAAAAAAAAJXIYFwAAAAAAAAAAAABK5DAuAAAAAAAAAAAAAJTIYVwAAAAAAAAAAAAAKJHDuAAAAAAAAAAAAABQIodxAQAAAAAAAAAAAKBEDuMCAAAAAAAAAAAAQIkcxgUAAAAAAAAAAACAEjmMCwAAAAAAAAAAAAAlchgXAAAAAAAAAAAAAErkMC4AAAAAAAAAAAAAlKgupZSKHqInaW1tjbfeeivmzZsX8+bNi7fffjuWLFkSixcvjiVLlkRra2usXr063nvvvejTp0/svPPO0dTUFNttt13stNNOsdNOO8WgQYNizz33jGHDhsWIESNiwIABRb9bsJEPPvgg5syZE/PmzYu5c+fGe++9F0uWLIlFixbFihUrIqUUixcvjuXLl8eOO+4YAwcOjIho//eddtophgwZEsOGDYuhQ4fGXnvtFb179y74vYKNLVq0qH3X33rrrfZdX7JkSaxduzbWrVsXixYtivXr18cuu+wS2223XTQ1NbXf03faaacYOnRoDBs2LIYNGxZ77LFH1NXVFf1uwQb0C7nQL+RCv5AD/UIu9Au50C/kQL+QC/1CLvQLOdAv5EK/kAv9UrhFDuNuRmtra8yePTueeuqp+N3vfhcvvPBCzJ49O9auXRsREX369ImhQ4e233gHDhwYDQ0N0bdv32hsbIyIiDVr1kRzc3OsWbOmPVoWLFgQCxYsiLa2toiIGDJkSIwcOTIOPvjg+OxnPxuf/exnY9dddy3s/SY/q1evjmeeeSaefvrpeP755+OFF16IOXPmtO/owIEDY8iQITFw4MDYeeedo1+/flFXVxf9+/dvf41ly5ZFRMTSpUvb4/ydd95pf7yxsTH22WefGDlyZPzRH/1RjB49Og4//PDo06dP9d9hsjV//vyYOnVqPPPMMzFz5sx44YUXYtGiRRER0dDQEEOGDInBgwe339f79OkTvXv3jm233TYiov1+vn79+vZ7+qJFi+Ktt96KdevWRUTE9ttvHwcddFCMGjUqjjjiiBg9enTsv//+AoWq0S/kQr+QC/1CDvQLudAv5EK/kAP9Qi70C7nQL+RAv5AL/UIu9Eu35FJgCE0AACAASURBVDDup73++usxefLkmDx5cvz617+OlStXxg477BBHHHFEjBo1Kg466KA48MADY9iwYVsVDM3NzfHmm2/GnDlzYubMmfH73/8+nn/++Zg9e3a0tbXFPvvsE2PGjImxY8fGCSecENttt10Z30ty19LSEr/5zW/ioYceikceeSSef/75aGlpiaFDh8bhhx8eI0eOjIMOOig+85nPxLBhw2L77bcv+VorVqyIefPmxSuvvNK+69OnT4/58+dHr1694vDDD49TTjklTjnllDjssMOivr6+jO8puVu+fHn88pe/jMmTJ8cvf/nLePPNN6OxsTFGjRoVhxxySPuu77XXXrH77rtHU1NTSddJKcWCBQti7ty58eKLL8bMmTNj5syZMX369FizZk0MGDAgjj/++PZd32OPPcr8npI7/UIO9Au50C/kQr+QA/1CLvQLudAv5EC/kAv9Qi70CznQL+RCv/QIDuNGRLz44osxadKkmDRpUrz00kvRr1+/GDNmTJx44olxzDHHxEEHHVS1G+TKlStj2rRp8dRTT8XkyZNjxowZ0dTUFCeffHKcc845ccYZZ0Tfvn2rMgu1paWlJaZMmRKTJk2Ke+65J5YuXRojRoyIsWPHxnHHHRfHHHNMDBkypGrzzJs3L6ZOnRqPP/54TJ48Od55553Ydddd46yzzopzzjknjj32WGFCSZYuXRp33XVXTJo0KR577LFIKcXRRx8dJ510Uhx77LFx5JFHVu0TvJaWlnj++edj6tSp8eijj8Zjjz0WH3zwQRx66KFxzjnnxDnnnBMjRoyoyizUHv1CDvQLudAv5EK/kAP9Qi70C7nQL+RAv5AL/UIu9As50C/kQr/0OIsiZWr58uXpP/7jP9Khhx6aIiLttttu6dJLL02PP/54Wr9+fdHjtVu4cGG64YYb0he/+MXU1NSU+vTpk7761a+mJ554IrW1tRU9Hj3Ayy+/nL773e+mnXfeOUVEOvLII9NPf/rT9MorrxQ92gZeeOGF9OMf/ziNHDkyRUTafffd0w9+8IM0b968okejB2htbU0PPfRQ+tKXvtR+r/zSl76UbrnllrRkyZKix2u3du3a9PDDD6cLL7wwDRw4MEVEOuaYY9J///d/pzVr1hQ9Hj2AfiEX+oUc6BdyoV/IhX4hB/qFXOgXcqFfyIF+IRf6hVzoF3KgX3q097M7jPvSSy+lCy+8MG277bZp2223Teeff3568sknU2tra9GjbdGSJUvSf/7nf6YjjjgiRUTab7/90nXXXZfzArMJra2t6b777kuf//znU11dXRo2bFj60Y9+lObOnVv0aJ3y4osvpr//+79PgwYNSvX19enUU09NU6ZMKXosuqHly5enn/70p2nYsGGprq4uHXfccWn8+PFp1apVRY+2RevXr0+TJ09O5557burVq1fq169f+va3v91j/juluvQLOdAv5EK/kAv9Qg70C7nQL+RCv5AD/UIu9Au50C/kQL+QC/1SE/I5jDtt2rR06qmnprq6urTvvvuma6+9Ni1fvrzosUr2/PPPpwsvvDBts802aeDAgemHP/xhWrZsWdFjUbDm5uZ0/fXXp3333TfV1dWlL37xi+mhhx7qEbHdkebm5nTXXXel448/PkVEOuSQQ9Ktt97aY98fymfhwoXp//v//r+0ww47pL59+6Zvfetb6eWXXy56rJK9//776aqrrkp77rlnamxsTOeee26aOXNm0WPRDegXcqBfyIV+IRf6hRzoF3KhX8iFfiEH+oVc6BdyoV/IgX4hF/qlptT+Ydzp06enU089tf1bId9zzz01dSN777330hVXXJEGDBiQ+vfvn3784x+nlStXFj0WVdbS0pJuuummtNdee6VevXqlCy64IL344otFj1VWzz33XPryl7+c6uvr08iRI9Pdd9/tf1WRocWLF6fLL788bbvttmnw4MHpqquu6tGfWH5ac3Nzuvnmm9PBBx+c6uvr05e//OX00ksvFT0WBdAv5EC/kAv9Qi70CznQL+RCv5AL/UIO9Au50C/kQr+QA/1CLvRLTardw7hLly5Nl1xySaqvr0+jRo1KkyZNKnqkilq1alW68sorU//+/dPgwYPTTTfd5EadienTp6ejjjoq1dfXpz/7sz9Lr732WtEjVdSLL76YzjvvvFRfX5/++I//OM2aNavokaiCtra2dNNNN6WBAwemgQMHpiuvvDJ98MEHRY9VMW1tbem+++5LhxxySGpsbEyXXHKJTzQzoV/0Sy70i37JgX7RL7nQL/olF/pFv+RAv+iXXOgX/ZIL/aJfcqBf9Esu9It+yYV+0S850C813S+1dxi3ra0tXX/99WngwIFpyJAhaeLEiUWPVFWLFi1KX//611NdXV0aM2ZMj/621Wze0qVL0ze+8Y1UX1+fjj/++DR79uyiR6qqZ555Jh122GGpqakp/f3f/31avXp10SNRIdOnT09HHnlkampqSt/5zndq+YPyRlpbW9N1112Xdtxxx7T77run22+/veiRqBD9ol9yoV/0Sy70i37JgX7RL7nQL/olF/pFv+RAv+iXXOgX/ZIL/aJfcqBf9Esu9It+yYV+qfl+qa3DuC+88EIaPXp0qq+vTxdeeGFasWJF0SMV5rnnnktHHHFEampqSpdccklatWpV0SNRJh99hcQuu+ySBg0alPVXgbW2tqabbrop7bTTTmm33XZLN910U9EjUUbLly9Pl1xySWpoaEjHHntsmjlzZtEjFWbJkiXtX+36+c9/Podv3Z8V/fIx/VK79MvH9Ett0y8f0y+1Tb98TL/ULv3yMf1S2/TLx/RLbdMvH9MvtUu/fEy/1Db98jH9Utv0y8f0S+3SLx/TL7VNv3ysxvulNg7jtra2ph//+MepsbExjR49Oj3//PNFj9QttLS0pGuuuSb169cv7bPPPmn69OlFj8RWWrhwYfrCF76QGhoa0sUXX5yWL19e9EjdwsKFC9N5552X6urq0rnnnpv1JyK14rHHHktDhgxJu+yyS7rxxhuzDe5P+/Wvf51GjhyZttlmm/Tv//7vRY/DVtIvHdMvtUe/dEy/1B790jH9Ulv0S8f0S+3RLx3TL7VHv3RMv9QW/dIx/VJ79EvH9Evt0S8d0y+1Rb90TL/UHv3SMf1Se/RLx2q0X3r+YdyFCxemMWPGpN69e6drrrnGwnZg/vz56cQTT0y9e/dO1157bdHjUKJf/epXafDgwWmvvfZKv/3tb4sep1t69NFH06BBg9Lee+8tvnuo1tbW9D//5/9MDQ0N6ayzzkpLly4teqRuZ/369emKK65IDQ0N6c/+7M/Edw+lX7ZMv9QG/bJl+qXn0y9bpl9qg37ZMv1SG/TLlumXnk+/bJl+qQ36Zcv0S23QL1umX3o+/bJl+qU26Jct0y+1Qb9smX7p+fTLltVgv/Tsw7gfnRwfOnRoevrpp4sep1tra2tLV155ZWpoaEh/+qd/6j/wHsTvXde8//776eSTT069e/dOV199ddHj0AWf/r3zyeXm+RjYc/m96zwfA3suv3ddo196Lv3SNT4G9lx+7zrPx8Cey+9d1+iXnku/dI2PgT2X37vO8zGw5/J71zX6pefSL13jY2DP5feu83wM7Ln83nWNfum59EvX1NDHwJ55GLe1tbX9VPTZZ5/tW5V3wSe/usRXTnR/CxcuTCeccIKv6uqiT351ydlnn10LXzlR8371q1+lQYMGpb322is999xzRY/TY3zyq2PdI7o//VI6/dKz6JfS6JeeR7+URr/0LPqldPqlZ9EvpdEvPY9+KY1+6Vn0S+n0S8+iX0qjX3oe/VIa/dKz6JfS6ZeeRb+URr/0PPqlNDXSLz3vMG5zc3P6yle+knr16tWTf+EL9d5776UxY8ak7bbbLk2ePLnocdiE119/PY0YMUI4boXHHnssDRo0KB166KFp4cKFRY/DJkyYMCE1NTX55LJEra2t6Uc/+lGqr69P3/rWt1Jra2vRI9EB/bL19EvPoF+2nn7pGfTL1tEvPYN+2Xr6pWfQL1tPv/QM+mXr6JeeQb9sPf3SM+iXradfegb9snX0S8+gX7aefukZ9MvW0y89g37ZOjXQLz3rMO7q1avT2LFj03bbbZceeuihosfp0VpaWtIFF1yQGhsb03/9138VPQ6f8vvf/z7ttttu6bDDDkvvvfde0eP0aHPnzk2f+cxn0vDhw9Orr75a9Dh8ys9+9rNUX1+fLrnkkp74QbRbueuuu9I222yTvvKVr6Tm5uaix+ET9Ev56JfuTb+Uj37p3vRL+eiX7ku/lI9+6d70S/nol+5Nv5SPfum+9Ev56JfuTb+Uj37p3vRL+eiX7ku/lI9+6d70S/nol+5Nv5RPD+6XnnMYd+nSpWn06NFpwIABadq0aUWPUxPa2trSFVdckerq6tJVV11V9Dj8/z3++OOpX79+6fOf/7xvL18mS5YsSZ/97GfTrrvu6qusuolP3n+uuOKKosepGb/61a/SDjvskE488cS0cuXKosch6ZdK0C/dk34pP/3S/eiXytAv/z/27js+y/Ju//hxZzNkhj1MGAqRBAgzAUSUFUWtKyytUlzwUxxorcVBta2tyiOIrVZB1FqUraKCbGTInkaZEUEQCAlhhSQk+f7+yENoHiC5k9zXdZ7XeR7v1+v5w0q5DvT73Hzo6wroh/0SeOwXPbFfAo/9oh/2izPYL/phvwQe+0VP7JfAY7/oh/3iDPaLftgvgcd+0RP7JfDYL/phvzjDo/3ijZdx9+/fL61bt5aoqCjZuXOn6jnGef3118Xn88kzzzwjBQUFqudYbdasWRIRESHJycmSnZ2teo5RTp48Kb1795Zq1arJkiVLVM+xWl5engwfPlxCQkLkgw8+UD3HOBs2bJC6detK586dJS0tTfUcq7FfnMV+0Qf7xTnsF32wX5zFftEH+8VZ7Bd9sF+cw37RB/vFWewXfbBfnMV+0Qf7xTnsF32wX5zFftEH+8VZ7Bd9sF+cw37RB/vFWR7sF/1fxj1y5Ii0aNFC2rRpIwcPHlQ9x1gfffSRhISEyLPPPqt6irXmzp0rISEhMnLkSP525Q7JycmR5ORkqVy5sqxatUr1HCsVFBTI8OHDpVKlSjJ37lzVc4y1a9cuiY6Olvj4eH6FoSLsF3ewX9RjvziP/aIe+8Ud7Bf12C/uYL+ox35xHvtFPfaLO9gv6rFf3MF+UY/94jz2i3rsF3ewX9Rjv7iD/aIe+8V57Bf12C/u8Fi/6P0y7smTJ6VDhw7SvHlz+fXXX1XPMd7HH38sPp9Pxo0bp3qKddasWSNVqlSRe+65h1+d5bC8vDy54447pHr16rJlyxbVc6zz7LPPSnBwsMyePVv1FOOlpqZKgwYN5LrrrpOzZ8+qnmMV9ou72C/qsF/cw35Ri/3iHvaLOuwXd7Ff1GG/uIf9ohb7xT3sF3XYL+5iv6jDfnEP+0Ut9ot72C/qsF/cxX5Rh/3iHvaLWuwX93ioX/R9GTcnJ0f69u0rdevWlV27dqmeY42///3v4vP5+Ftnu+j777+XWrVqyc033yznzp1TPccKWVlZ0qNHD2nYsKH89NNPqudY4x//+If4fD6ZPHmy6inW2LZtm9SsWVNuvfVWycvLUz3HCuwXNdgv7mO/uI/9ogb7xX3sF/exX9Rgv7iP/eI+9osa7Bf3sV/cx35Rg/3iPvaL+9gvarBf3Md+cR/7RQ32i/vYL+5jv6jBfnGfR/pFz5dx8/Pz5a677pJq1arJpk2bVM+xzujRoyU0NFTmzZuneorxDhw4IE2bNpWEhAQ5c+aM6jlWyczMlHbt2kmLFi3kyJEjqucYb+rUqRIUFCSvvfaa6inWWbZsmURERMhDDz2keorx2C9qsV/cw35Rh/3iLvaLOuwX97Bf1GK/uIf9og77xV3sF3XYL+5hv6jFfnEP+0Ud9ou72C/qsF/cw35Ri/3iHvaLOuwXd7Ff1PFAv+j5Mu5jjz0mERERsnz5ctVTrFRQUCD33HOPVK1alb+NuYNOnDghrVq1kri4ODl+/LjqOVY6ePCgREVFSUJCguTk5KieY6wlS5ZIaGioPPXUU6qnWGvWrFkSHBwsr7zyiuopRmO/qMV+cQf7RT32izvYL+qxX9zBflGL/eIO9ot67Bd3sF/UY7+4g/2iFvvFHewX9dgv7mC/qMd+cQf7RS32izvYL+qxX9zBflFP83456hMRgUZmzpyJ5ORkfPLJJxg4cKDqOdY6d+4c+vTpg19//RUbNmzAFVdcoXqScQYOHIjly5dj06ZNaNiwoeo51tqxYwc6d+6MYcOGYcKECarnGOfIkSNo164devTogWnTpsHn86meZK3x48fjqaeewuLFi9GzZ0/Vc4zDftED+8V57Bc9sF+cxX7RB/vFWewXPbBfnMd+0QP7xVnsF32wX5zFftED+8V57Bc9sF+cxX7RB/vFWewXPbBfnMd+0QP7xVnsF31o3C9pWr2Mu3fvXnTo0AF333033nrrLdVzrHf+Q+Taa6/FtGnTVM8xyttvv41HHnkE8+fPR58+fVTPsd706dMxaNAgzJw5E7fffrvqOcYoKChA//79kZqaio0bN6J69eqqJ1nvjjvuwKpVq7BlyxbUr19f9RxjsF/0wn5xDvtFL+wXZ7Bf9MN+cQb7RS/sF+ewX/TCfnEG+0U/7BdnsF/0wn5xDvtFL+wXZ7Bf9MN+cQb7RS/sF+ewX/TCfnEG+0U/mvaLPi/jnjt3Dtdeey2ysrKwZs0aVKpUSfUkArBkyRL07dsXb7/9Nh544AHVc4ywfft2dOnSBU8//TT+9Kc/qZ5D/+vBBx/EjBkzsGnTJkRHR6ueY4SXXnoJf/3rX7F69WrEx8ernkMAMjMzER8fj+joaCxYsADBwcGqJ3ke+0VP7JfAY7/oif0SeOwX/bBfAo/9oif2S+CxX/TEfgk89ot+2C+Bx37RE/sl8NgvemK/BB77RT/sl8Bjv+iJ/RJ47Bc9sV8Cj/2iH037RZ+XcUeNGoUpU6Zgw4YNuPrqq1XPof/y3HPPYdy4cfjuu+/Qrl071XM87fTp0+jUqRPq1auHxYsX6/JBQACys7ORmJiIkJAQrFy5EmFhYaonedry5ctxww03YMKECfh//+//qZ5D/2X9+vXo3r07xo4di2effVb1HM9jv+iL/RI47Bd9sV8Ci/2iL/ZLYLFf9MV+CRz2i77YL4HFftEX+yWw2C/6Yr8EDvtFX+yXwGK/6Iv9EljsF32xXwKH/aIv9ktgsV/0pWG/6PEy7ldffYWbb74ZU6dOxaBBg1TPof8jLy8PN9xwA9LS0rB582aEh4ernuRZw4YNw9dff40tW7agQYMGqufQ/7Fz50507NgRjzzyCF555RXVczwrMzMT11xzDRISEjBz5kzVc+gSxo8fj6effhqrVq1C586dVc/xLPaL3tgvgcN+0Rv7JTDYL/pjvwQG+0Vv7JfAYb/ojf0SGOwX/bFfAoP9ojf2S+CwX/TGfgkM9ov+2C+BwX7RG/slcNgvemO/BAb7RX+a9Yv6l3GzsrLQpk0bdO3aFVOnTlU5hUqwf/9+xMTE4Nlnn8WYMWNUz/Gkb7/9Ftdddx1mzZqF2267TfUcuoy3334bjz32GDZv3oxrrrlG9RxPevTRRzF9+nTs2LEDNWvWVD2HLkFE0Lt3b2RmZmLdunX8KsVyYL94A/ul4tgv3sB+qTj2i/7YLxXHfvEG9kvFsV+8gf1ScewX/bFfKo794g3sl4pjv3gD+6Xi2C/6Y79UHPvFG9gvFcd+8Qb2S8WxX/SnWb+ofxn3ueeew8SJE/Hjjz+iYcOGKqdQKf72t7/hpZdeQkpKCqKjo1XP8ZS8vDx06NABDRo0wPz581XPoRIUFBQgMTERYWFhWL58OXw+n+pJnrJp0yZ07twZkydPxr333qt6DpVg165diIuLw7hx4/hHKZQD+8U72C/lx37xDvZLxbBfvIP9UjHsF+9gv5Qf+8U72C8Vw37xDvZLxbBfvIP9Un7sF+9gv1QM+8U72C8Vw37xDvZL+bFfvIP9UjHsF+/QqF/Uvoy7e/duxMbG4tVXX8WoUaNUzSA/5ebmol27doiKisLXX3+teo6nvPrqqxg7diy+//57NGvWTPUcKsXGjRvRpUsXfPDBB7j77rtVz/GMgoICdOvWDSEhIfj2228Zch7whz/8AW+//TZ27NjBPzqkDNgv3sJ+KT/2i7ewX8qH/eI97JfyYb94C/ul/Ngv3sJ+KR/2i/ewX8qH/eIt7JfyY794C/ulfNgv3sN+KR/2i7ewX8qP/eIt7JfyYb94jyb9ovZl3KSkJBw8eBCbNm1CSEiIqhlUBud/q/nPP/8cN998s+o5nnDgwAHExMTg97//PZ5//nnVc8hPI0aMwJw5c7Bjxw7UqFFD9RxPeOedd/Doo49iw4YNaNu2reo55IesrCxcc8016NGjBz766CPVczyD/eI97JeyY794E/ul7Ngv3sN+KR/2i/ewX8qO/eJN7JeyY794D/ulfNgv3sN+KTv2izexX8qO/eI97JfyYb94D/ul7Ngv3sR+KTv2i/do0i/qXsadPn06Bg8ejJUrVyIhIUHFBCqnIUOG4LvvvsOPP/6IiIgI1XO0d9ddd2Hr1q3Yvn07wsPDVc8hP2VkZKBVq1YYPHgwJkyYoHqO9tLT03HVVVdh2LBheP3111XPoTKYM2cO7rjjDixfvhw9evRQPUd77BfvYr+UDfvFm9gvZcN+8S72S9mwX7yL/VI27BdvYr+UDfvFu9gvZcN+8S72S9mwX7yJ/VI27BfvYr+UDfvFu9gvZcN+8Sb2S9mwX7xLg35R8zJuXl4eYmJi0LVrV34llQcdOnQILVq0wCuvvILHHntM9RytbdiwAZ07d+ZXUnnUv/71L4waNQo7d+5EVFSU6jlae+aZZ/DBBx9gz549uOKKK1TPoTLq06cPzp49i5UrV6qeojX2i7exX/zHfvE29ov/2C/exn7xD/vF29gv/mO/eBv7xX/sF29jv/iH/eJt7Bf/sV+8jf3iP/aLt7Ff/MN+8Tb2i//YL97GfvEf+8XbFPeLmpdx33//fTz88MP48ccf0bx5c7cfTwEwevRo/Pvf/0ZqaiqqVq2qeo62kpKScOzYMaxbtw4+n0/1HCqjc+fOoVWrVujVqxcmTZqkeo620tLS0KxZM/zpT3/Ck08+qXoOlcP69evRpUsXzJs3D/369VM9R1vsF+9jv/iH/eJt7Bf/sF+8j/3iH/aL97Ff/MN+8Tb2i3/YL97HfvEP+8X72C/+Yb94G/vFP+wX72O/+If94n3sF/+wX7yN/eIf9ov3Ke4X91/GzcvLw1VXXYXevXvj3XffdfPRFEDnP3zGjh2L0aNHq56jpbVr16Jr165YsGAB+vTpo3oOldOHH36I+++/Hzt37kSzZs1Uz9HS6NGj8cknn2Dv3r2oVKmS6jlUTgMGDMCxY8ewZs0a1VO0xH4xA/uldOwXM7BfSsd+MQP7pWTsFzOwX0rHfjED+6V07BczsF9Kxn4xA/uldOwXM7BfSsd+MQP7pWTsFzOwX0rHfjED+6V07BczKOwX91/GnTZtGoYOHYqdO3fyq4I8bvTo0Zg2bRpSU1MRFhameo527rrrLuzbtw/r169XPYUqID8/H1dddRUGDBiACRMmqJ6jnZMnT6Jp06Z4/vnn+QsTj1u/fj06d+6Mb7/9Fj169FA9RzvsF3OwX0rGfjED+6Vk7BdzsF9Kxn4xB/ulZOwXM7BfSsZ+MQf7pWTsF3OwX0rGfjED+6Vk7BdzsF9Kxn4xB/ulZOwXM7BfSsZ+MYfCfkkLcvNpADB+/HjcdtttDBEDPPHEEzh69ChmzJiheop29u3bh88++wxPPfWU6ilUQcHBwXj00UcxadIkpKenq56jnXfffRcFBQW4//77VU+hCurUqRO6deuGcePGqZ6iJfaLOdgvl8d+MQf7pWTsF3OwX0rGfjEH++Xy2C/mYL+UjP1iDvZLydgv5mC/XB77xRzsl5KxX8zBfikZ+8Uc7JfLY7+Yg/1SMvaLOVT2i6sv465duxZr1qzBE0884eZjySGNGzfGnXfeya+WuIS33noLDRs2xB133KF6CgXA8OHDERYWhilTpqieopWCggL84x//wPDhw1G9enXVcygAnnzyScydOxepqamqp2iF/WIW9svlsV/Mwn65NPaLedgvl8Z+MQv75fLYL2Zhv1wa+8U87JdLY7+Yhf1yeewXs7BfLo39Yh72y6WxX8zCfrk89otZ2C+Xxn4xj6p+cfVl3HfffRdxcXFITEx087HkoIcffhjr16/H5s2bVU/RRm5uLj766CM88MADCAkJUT2HAuCKK67A0KFD8d5770FEVM/RxoIFC7Bv3z48+OCDqqdQgNxyyy1o0KAB3n//fdVTtMJ+MQ/75WLsF/OwXy6N/WIe9sulsV/Mw365GPvFPOyXS2O/mIf9cmnsF/OwXy7GfjEP++XS2C/mYb9cGvvFPOyXi7FfzMN+uTT2i3lU9YtrL+OeOnUKM2bM4NEa5tprr0Xr1q0xefJk1VO0MXv2bBw/fhzDhg1TPYUC6MEHH8SuXbuwYsUK1VO08d5776Fnz55o3bq16ikUICEhIbjvvvswefJknDt3TvUcLbBfzMR+uRj7xUzsl4uxX8zDfrkY+8VM7JeLsV/MxH65GPvFPOyXi7FfzMR+uRj7xUzsl4uxX8zDfrkY+8VM7JeLsV/MxH65GPvFPKr6xbWXcWfMmIFz585h6NChbj2SXDJs2DBMnToVubm5qqdo4cMPP0RSUhIaNWqkegoFUFxcHDp27IgPPvhA9RQtpKenY+7cuRg+fLjqKRRgw4cPx5EjR7Bw4ULVU7TAfjEX+6U49ouZ2C/FsV/MxX4pjv1iLvZLcewXM7FfimO/mIv9Uhz7xVzsl+LYL2ZiLy+vugAAIABJREFUvxTHfjEX+6U49ou52C/FsV/MxH4pjv1iLhX94trLuNOmTcONN96IGjVquPVIcsmgQYOQmZnJ8EbhB/TixYsxePBg1VPIAYMHD8acOXOQk5Ojeopys2fPRnBwMG699VbVUyjAoqOj0aVLF0yfPl31FC2wX8zFfrmA/WI29ssF7BdzsV+KY7+Yi/1yAfvFbOyXC9gv5mK/FMd+MRf75QL2i9nYLxewX8zFfimO/WIu9ssF7BezsV8uYL+YS0W/uPIy7rFjx7BkyRIkJye78ThyWZMmTZCQkIBp06apnqLc+Q/om266SfUUckBycjJOnDjB8AYwffp03HTTTahWrZrqKeSA5ORkzJkzB9nZ2aqnKMV+MRv75QL2i9nYLxewX8zGfinEfjEb++UC9ovZ2C8XsF/Mxn4pxH4xG/vlAvaL2dgvF7BfzMZ+KcR+MRv75QL2i9nYLxewX8zmdr+48jLul19+iZCQEH5AG+zOO+/E3LlzkZeXp3qKUp999hmSkpL4AW2oxo0bo2vXrpgzZ47qKUplZmZi2bJluOOOO1RPIYfceeedOHXqFJYtW6Z6ilLsF/OxXwqxX8zGfinEfjEf+6UQ+8V87JdC7BezsV8KsV/Mx34pxH4xH/ulEPvFbOyXQuwX87FfCrFfzMd+KcR+MRv7pRD7xXxu94srL+POmzcPPXv2RNWqVd14HClw4403IjMzE2vXrlU9RZns7GwsW7aM0W24pKQkzJs3DyKieooyCxcuhIigX79+qqeQQ5o0aYLY2FjMnz9f9RSl2C/mY7+wX2zBfmG/2ID9Uoj9Yj72C/vFFuwX9osN2C+F2C/mY7+wX2zBfmG/2ID9Uoj9Yj72C/vFFuwX9osN3O4Xx1/Gzc/Px6JFi5CUlOT0o0ihq6++Gs2bN7c6vJcvX46srCz07dtX9RRyUFJSEn799Vds375d9RRl5s+fj65du6JWrVqqp5CD+vfvb/VnOvvFDuwX9ost2C/sF1uwX9gvNmC/sF9swX5hv9iC/cJ+sQH7hf1iC/YL+8UW7Bf2iw3YL+wXW7Bf2C+2cLNfHH8Zd+PGjcjIyOAHtAX69OmDRYsWqZ6hzOLFi9GmTRs0adJE9RRyUHx8PCIjI62/dX6mm69fv37YuXMnDhw4oHqKEuwXe7Bf2C82YL+wX2zBfmG/2IL9wn6xAfuF/WIL9gv7xRbsF/aLDdgv7BdbsF/YL7Zgv7BfbMB+Yb/Yws1+cfxl3FWrViEyMhKtWrVy+lGkWI8ePbBx40ZkZWWpnqLEypUr0aNHD9UzyGFBQUHo3r07Vq1apXqKEgcPHsTPP/+Ma6+9VvUUclhCQgLCwsKsvXX2iz3YL+wXG7Bf2C+2YL+wX2zBfmG/2ID9wn6xBfuF/WIL9gv7xQbsF/aLLdgv7BdbsF/YLzZgv7BfbOFmv7jyMm63bt3g8/mcfhQp1r17d5w7dw7r169XPcV1OTk52LRpExITE1VPIRd069bN2hhZuXIlQkJC0LFjR9VTyGGVKlVCu3btrL119os92C/sF1uwX9gvNmC/sF9swX5hv9iC/cJ+sQH7hf1iC/YL+8UW7Bf2iw3YL+wXW7Bf2C+2YL+wX2zgZr84/jLuunXr0LVrV6cfQxpo2rQpGjVqhLVr16qe4rrNmzcjJyeHt26JhIQEHDlyBPv27VM9xXXr1q1DXFwcqlatqnoKuSAxMRFr1qxRPUMJ9os92C/sF1uwX9gvtmC/8DPdBuwX9ost2C/sF1uwX/iZbgP2C/vFFuwX9ost2C/8TLcB+4X9Ygv2C/vFFm71i6Mv42ZkZODAgQNo166dk48hjbRt2xbbtm1TPcN1W7duxRVXXIHmzZurnkIuaNu2LXw+H7Zu3ap6iuu2bt3Kz3SLtG3bFikpKcjPz1c9xVXsF/uwX9gvNmC/8DPdFuwX3rot2C/sFxuwX/iZbgv2C2/dFuwX9osN2C/8TLcF+4W3bgv2C/vFBuwXfqbbwq1+cfRl3PM/KcXGxjr5GNJIbGyslTGyfft2xMbG8o+jsETVqlURFRWF7du3q57iuvO3TnaIjY3F2bNnsWfPHtVTXMV+sQ/7hf1iA/YLP9NtwX7hrduC/cJ+sQH7hZ/ptmC/8NZtwX5hv9iA/cLPdFuwX3jrtmC/sF9swH7hZ7ot3OoXR1/G/eGHH1CzZk00atTIyceQRtq0aYOdO3da91VwKSkpaNOmjeoZ5KLY2FikpKSonuGqo0eP4ujRo7x1i8TExCAoKMi6W2e/2If9QrZgv5AN2C/sF1uwX8gW7BeyAfuF/WIL9gvZgv1CNmC/sF9swX4hW7BfyAZu9YujL+Ompqbyty23TPPmzZGbm4tffvlF9RRXpaamolmzZqpnkIuaNWuGn376SfUMV53/8fJz3R6VKlVCgwYNkJqaqnqKq9gv9mG/kC3YL2QD9gvZgv1CtmC/kA3YL2QL9gvZgv1CNmC/kC3YL2QL9gvZwK1+cfRl3H379iEqKsrJR5Bmzv/73rdvn9Idbjp37hwOHjzIW7dMVFSUVXcOFMZIcHAwGjdurHoKuSg6Oho///yz6hmuYr/Yh/1CtmC/kC3YL2QD9gvZgv1CtmC/kA3YL2QL9gvZgv1CNmC/kC3YL2QLN/rF0Zdx9+/fjyuvvNLJR5Bm6tevj4iICKs+pA8ePIj8/HzGiGWio6Nx9OhRZGVlqZ7imv3796NRo0YIDQ1VPYVcZGN4s1/sw34hW7BfyBbsF7IB+4VswX4hW7BfyAbsF7IF+4VswX4hG7BfyBbsF7KFG/3i6Mu4R44cQf369Z18hFG+/vprfPrpp0V//fnnn2P69OlFfz1r1ix8/fXXKqb5zefzoW7dukhLS1M9xTVHjx4FAN66n0y4cwCoV68eRATHjh1TPcU1R48e5Z2XgUm3fv5zzhbsl7Ix4dbZL1QaE+4cYL9Q6Uy6dfYLlcSEW2e/UGlMuHOA/UKlM+nW2S9UEhNunf1CpTHhzgH2C5XOpFtnv1BJTLh19guVxoQ7B9gvVDqTbt3pfglx8jtPT09H7dq1nXyEUV599VXs3bsXgwYNAgD8+c9/Rnp6OpKTkwEAL7zwAurVq4cbb7xR5cxSRUZGIj09XfUM15z/yYi37h9T7vz8v+9jx46hadOmite4Iz09HZGRkapneIZJt27TZzrAfikrU26d/UIlMeXO2S9UGpNu3abPdID9Ulam3Dr7hUpiyp2zX6g0Jt26TZ/pAPulrEy5dfYLlcSUO2e/UGlMunWbPtMB9ktZmXLr7BcqiSl3zn6h0ph0605/pjv2Mm52djbOnDnDD+gKeOSRR3D27FnVM8osMjLSqq+WyMjIQHh4OKpWrap6iid5+c4BWBXe/AVmxXj51m36TGe/VBxv3RvYLxXj5TsH2C/kPy/fuk2f6eyXiuOtewP7pWK8fOcA+4X85+Vbt+kznf1Scbx1b2C/VIyX7xxgv5D/vHzrNn2ms18qjrfuDeyXivHynQPsF/Kfl2/d6c90x17GPXPmDAAo+4AuKChAUFCQkmcHyr333qt6QrlUqVKl6N+/DU6fPs07rwCv3vn5f+c23fqZM2fQuHFjJc/mratTtWpV6+4cYL9UhFdvnf3iHt65OuwXd/HW1WG/uIu3rg77xT28c3XYL+7iravDfnEXb10d9ot7eOfqsF/cxVtXh/3iLt66OuwX9/DO1WG/uIu3ro4b/eLYv9nc3FwAQFhYmFOPuMiPP/6IG2+8EXXq1EGVKlXQqVMnzJo1q9i3eeCBB/DII4/g0KFDGDJkCK688ko0b94cv/vd7y76h52ZmYmRI0eiTZs2qF+/Pm6//XZ8/fXXxb5NdnY2XnzxRTRv3hzh4eFo2bIlHnroIZw6darCP55Ro0Zh2LBhJX6bmTNnokePHhg7dmyZdjspPDwcOTk5rj1PtdzcXN55BXj1zkNCQhAUFMRbdxBv3f/dTgoLC0NeXh7y8/Nde6ZK7Bd7b5394izeuf+7ncR+cR5v3f/dTmK/OI+37v9uJ7FfnMU793+3k9gvzuOt+7/bSewX5/HW/d/tJPaLs3jn/u92EvvFebx1/3c7if3iPN66/7udxH5xFu/c/91OYr84j7fu/24nudIv4pB9+/YJAFm7dq1TjyhmxYoVUqVKFYmKipIxY8bIn//8Z+nSpYsAkJdeeqno23Xs2FGioqKkUaNG0r17d/n9738vPXv2FABy++23F327AwcOSFRUlFSpUkVGjBghf/jDH6R9+/YSFBQkb7zxRtG3GzZsmAQHB8t9990nEyZMkFGjRkmlSpUkISGhzD+Gnj17SuPGjYttjY6OLvrrmJgY6dWrV9Fff/rppxISEiJ9+/aVrKysMu120m9/+1u56aabXHmWDl577TW58sorXXkW71yfOxcRiYiIkA8//NC156nWqVMnefrpp115Fm9dn1ufO3euACjaZDr2i723zn5xDu9cnzsXYb84ibeuz62zX5zFW9fn1tkvzuGd63PnIuwXJ/HW9bl19ouzeOv63Dr7xTm8c33uXIT94iTeuj63zn5xFm9dn1tnvziHd67PnYuwX5zEW9fn1l3ol6OOvYz7008/CQBZt26dU48oUlBQIPHx8VKrVi05ePBg0X+em5sr119/vYSFhcnOnTtFpPAYAMgzzzwjBQUFIiKSn58v8fHxUr169aL/7tChQwWArFmzpug/y8nJKfr+0tPTJTs7W0JDQ+WWW24ptmfChAkCoOiZ/irL4X788ccSHBwsN954o2RnZ5dpt9Puu+8+SUpKcvw5unj11VclKirK8efwzvW6cxGRypUry5QpU1x5lg46duzoSozw1vW69a+++koAyOnTpx1/lg7YL/beOvvFGbxzve5chP3iFN66XrfOfnEOb12vW2e/OIN3rtedi7BfnMJb1+vW2S/O4a3rdevsF2fwzvW6cxH2i1N463rdOvvFObx1vW6d/eIM3rledy7CfnEKb12vW3ehX44GXep3yw2E0NBQABd+u34nbdq0CZs2bcL111+Phg0bFttw3333ITc3FwsXLiz6zytVqoSxY8fC5/MBAIKCgtCtWzecOHECv/zyCzIyMjB16lR06tQJXbp0KfrvhYWF4YEHHkBubi5mz55d9FsWL1u2DJs3by76do888ghOnz6N5s2bO/Lj/eijj/Db3/4WSUlJmDNnDsLDwwHA791Oy8nJQUREhOPP0UVoaCjv3AG63zlg362HhYXh3Llzjj+Ht67XrZ//oyhsuXX2i923bsudA+wXW+8csO/W2S923jr7xTm8df1u3ZY7B9gvtt45YN+ts1/svHX2i3N46/rdui13DrBfbL1zwL5bZ7/YeevsF+fw1vW7dVvuHGC/2HrngH23zn6x89bd6JcQp77j8/8w3Tjc3bt3AwB69ux50d+Lj48HAOzatavoP6tbt+5F/1Br1qwJADh9+jQOHDgAEcHp06cxcODAYt/u5MmTAIC9e/eicuXKePHFF/Hcc88hPj4erVu3Rq9evXDjjTeiX79+CA4ODtwP8n9t2bIFw4YNQ0FBAUQEYWFhRX9v586dfu12Wm5ubtG/fxuEh4e7EiO880K63Hl+fj7y8/OtuvWwsDDeeoB54dZzcnIQHBzsyI9fR+wXe2+d/eIM3nkhXe6c/eIc3nohXW6d/eIc3nohXW6d/eIM3nkhXe6c/eIc3nohXW6d/eIc3nohXW6d/eIM3nkhXe6c/eIc3nohXW6d/eIc3nohXW6d/eIM3nkhXe6c/eIc3nohXW7djX5x7HfGrVSpEgAgKyvLqUcUOXbsGAAgKirqor93/o3m//6HeH7bpYgI0tPTART+JBMaGlrs/2rXro2hQ4fimmuuAQCMGTMGe/bswfPPP4/KlSvjnXfewYABA3DNNdfg8OHDgfohFjl+/DiGDBmC3/72t/jqq68wderUor9Xlt1OOnv2rFVfLVGpUiWcPXvW8efwzgvpdOeAPV/tCQCVK1fmrQeYF249Ozu7xH/GpmG/2Hvr7Bdn8M4L6XTnAPvFCbz1QrrcOvvFObz1QrrcOvvFGbzzQjrdOcB+cQJvvZAut85+cQ5vvZAut85+cQbvvJBOdw6wX5zAWy+ky62zX5zDWy+ky62zX5zBOy+k050D7Bcn8NYL6XLrbvSLY78zbpUqVRAREVH0D9NJ0dHRAIAVK1ZgwIABxf7ed999BwBo1qyZ39/f+W/bsmVLfPzxx8X+Xn5+Pk6dOoXKlSsjNzcXWVlZiIqKwksvvYSXXnoJhw8fxl/+8he89dZbmDhxIv7yl79U5Id2kQ4dOuCjjz5CRkYGvvrqKzz++OPo27cvIiMj/d7ttGPHjiEmJsbx5+iiVq1aOHPmDLKzsx39iYl3rt+dA0Dt2rUdf5YuatWqxc90C289LS3Nqjtnv9h76+wXZ/DO9btzgP3iBN66XrfOfnEOb12vW2e/OIN3rt+dA+wXJ/DW9bp19otzeOt63Tr7xRm8c/3uHGC/OIG3rtets1+cw1vX69bZL87gnet35wD7xQm8db1u3Y1+cex3xgUKD/f8/8M6qX379ggLC8PChQsv+nvLli1DcHAw+vXr5/f316JFC9SpUwfffPPNRX/MwCuvvIKaNWti3bp1WLJkCWrWrIlPPvmk6O/Xr18fTz/9NIDCN74DrVq1avD5fKhduzZee+01pKWl4bHHHivTbqcdO3bMqg/oyMhIAHD81nnn+t05cOHfvw1q167Nz/QA88Ktp6enW/WZDrBfbL119oszeOf63TnAfnECb12vW2e/OIe3rtets1+cwTvX784B9osTeOt63Tr7xTm8db1unf3iDN65fncOsF+cwFvX69bZL87hret16+wXZ/DO9btzgP3iBN66XrfuSr+Ig9q2bSt//OMfnXxEkSeffFIAyIgRI2T79u2yY8cOeeGFFwSA3HvvvUXfrmPHjtKqVauL/vvnv+0PP/wgIiKTJk0SAJKcnCwbN26U3bt3y+uvvy7h4eHSp08fKSgokJMnT0rdunWlZcuWsnTpUsnMzJQNGzbIbbfdJgDkyy+/LNOPoWfPntK4ceNiW6Ojo4v+OiYmRnr16lX01wUFBdKjRw8BIF999ZXfu51WrVo1effddx1/ji527twpAGTTpk2OP4t3rs+dz5s3TwBIZmam48/SxcsvvywtW7Z05Vm8dX1uffjw4dKnTx/Hn6MT9oudt85+cQ7vXJ87Z784i7euz62zX5zFW9fn1tkvzuGd63Pn7Bdn8db1uXX2i7N46/rcOvvFObxzfe6c/eIs3ro+t85+cRZvXZ9bZ784h3euz52zX5zFW9fn1l3ol6OOvow7YMAAufvuu518RJGcnBx57LHHBECx/3v44YclJyen6Nv5e7giIm+++aZEREQUfV8hISHy8MMPS3p6etG3WbhwoTRs2LDYMyMiIuQvf/lLmX8MZT1cEZGUlBQJDQ2VJk2ayMmTJ/3e7ZSMjAwBIPPnz3f8WbrIysoSn88nn332mePP4p3rceciIu+8845Uq1bNlWfp4oMPPpCIiAhXfgLkretz6zfccIPcf//9rjxLF+yXsjHh1tkvzuKd63HnIuwXp/HW9bl19ouzeOt63Dr7xVm8cz3uXIT94jTeuj63zn5xFm9dj1tnvziLd67HnYuwX5zGW9fn1tkvzuKt63Hr7Bdn8c71uHMR9ovTeOv63LoL/XLUJyIChzz66KPYsmULVqxY4dQjLnL06FFs2bIF4eHhiIuLQ82aNSv0/Z06dQqbN2/G6dOnERsbiyZNmlz0bbKysrBt2zbs378fkZGRaNOmDerWrVuh51aUP7udsGnTJnTo0AE7d+7EVVdd5cozdVC/fn08++yzRb+9ttN454VU3TkAPPvss5g3bx62bNni2jNVW758Oa677jocOnQIDRo0cOWZvPVCKm+9RYsWGDZsGMaMGePaM1Vjv6jDfnEX+0UN9ou72C/qsF/cxX5Rh/3iLvaLGuwXd7Ff1GG/uIv9og77xV3sFzXYL+5iv6jDfnEX+0Ud9ou72C9qsF/cxX5Rx/B+SXP0Zdxx48bhf/7nf3Dw4EGnHqG9kSNH+vXt7rnnHiQkJDi8xnmzZ8/GXXfdhTNnziAiIkL1HNckJCSgS5cuGD9+vOopSth25wAwaNAgZGdn47PPPlM9xTX79+/HlVdeiZUrV6Jbt26q5yhh263n5+ejcuXKeP/99zF06FDVc1zDfrHv1tkv7JeSmHLnAPuF/VIyU26d/cJ+KY0pt85+Yb+UxJQ7B9gv7JeSmXLr7Bf2S2lMuXX2C/ulJKbcOcB+Yb+UzJRbZ7+wX0pjyq2zX9gvJTHlzgH2C/ulZKbcukv9khbi1PcMAK1bt8ahQ4eQnp6O2rVrO/kobfXq1cuvb+fWW/ZO+/777xEdHW1ViACFt56SkqJ6hjK23TlQeOu33HKL6hmuatKkCapVq4aUlBRrY8S2W9+1axdyc3MRExOjeoqr2C/23Tr7xU623TnAfmG/lMyUW2e/sF9KY8qts1/sZNudA+wX9kvJTLl19gv7pTSm3Dr7xU623TnAfmG/lMyUW2e/sF9KY8qts1/sZNudA+wX9kvJTLl1t/rF0Zdx4+LiAAApKSm49tprnXyUtu666y7VE1y1ffv2on/vNomNjcWXX36peoYytt15bm4udu/ejdjYWNVTXOXz+XDNNddg+/btqqcoY9utb9u2DSEhIWjdurXqKa5iv9h36+wXO9l25+wX9ost2C/sF1uwX+xk252zX9gvtmC/sF9swX6xk213zn5hv9iC/cJ+sQX7xU623Tn7hf1iC7f6JcjJ77xx48aoVasWtm3b5uRjSCPbt2+37gMaKAzvtLQ0HD58WPUUcsGOHTuQm5tr5a3HxsbyM90i33//PVq2bGndV3uyX+zDfmG/2ID9ws90W7BfeOu2YL+wX2zAfuFnui3YL7x1W7Bf2C82YL/wM90W7Bfeui3YL+wXG7Bf+JluC7f6xdGXcQGgY8eOWLt2rdOPIQ0cP34cu3fvRqdOnVRPcV2HDh0QFBSEdevWqZ5CLvjuu+9QtWpVtGrVSvUU13Xq1AkbN25EXl6e6inkgu+++87Kz3SA/WIT9gv7xRbsF/aLLdgv7BcbsF/YL7Zgv7BfbMF+Yb/YgP3CfrEF+4X9Ygv2C/vFBuwX9ost2C/sF1u41S+Ov4zbrVs3rFq1yunHkAZWrlwJEUFCQoLqKa6rUaMGYmJieOuWWLVqFRISEhASEqJ6iuu6deuGM2fOYOvWraqnkMPy8vKwbt06dOvWTfUUJdgv9mC/sF9swX5hv9iA/cJ+sQX7hf1iC/YL+8UG7Bf2iy3YL+wXW7Bf2C82YL+wX2zBfmG/2IL9wn6xgZv94vjLuImJifjpp59w6NAhpx9Fiq1evRqtW7dG7dq1VU9RguFtj1WrViExMVH1DCVatWqFWrVqYeXKlaqnkMO2bt2KU6dOWfs/prBf7MF+Yb/Ygv3CfrEB+4X9Ygv2C/vFFuwX9osN2C/sF1uwX9gvtmC/sF9swH5hv9iC/cJ+sQX7hf1iAzf7xfGXcRMSEhAREYGFCxc6/ShSbOHChbjuuutUz1Dmuuuuw7p163DixAnVU8hBe/fuRWpqKnr16qV6ihI+nw/XXXcdFi1apHoKOWzRokWoV68eYmJiVE9Rgv1iD/YL+8UG7Bf2iy3YL+wXW7Bf2C82YL+wX2zBfmG/2IL9wn6xAfuF/WIL9gv7xRbsF/aLDdgv7BdbuNkvjr+MW6VKFfTo0QPz5893+lGkUFpaGjZv3oykpCTVU5Tp168fCgoKsHjxYtVTyEHz5s1DtWrVrP3KIKDw1pcuXYrs7GzVU8hB8+bNQ79+/eDz+VRPUYL9Ygf2C/vFFuwX9ost2C/sFxuwX9gvtmC/sF9swX5hv9iA/cJ+sQX7hf1iC/YL+8UG7Bf2iy3YL+wXW7jZL46/jAsASUlJWLBgAfLy8tx4HCkwb948hIaGWvvVEgBQs2ZNdO7cGV9//bXqKeSg+fPn44YbbkBoaKjqKcokJSXhzJkz+Pbbb1VPIYecOHECq1evRv/+/VVPUYr9Yj72C/vFFuwX9osN2C+F2C/mY7+wX2zBfmG/2ID9Uoj9Yj72C/vFFuwX9osN2C+F2C/mY7+wX2zBfmG/2MDtfnHlZdybb74ZGRkZWLZsmRuPIwVmzZqF66+/HlWqVFE9RalbbrkFX3zxBcPbUCdOnMCiRYtwyy23qJ6iVJMmTdC+fXvMmjVL9RRyyNy5c+Hz+az/H1PYL+ZjvxRiv5iN/VKI/WI+9ksh9ov52C+F2C9mY78UYr+Yj/1SiP1iPvZLIfaL2dgvhdgv5mO/FGK/mI/9Uoj9Yjb2SyH2i/nc7hdXXsZt0aIFOnTogOnTp7vxOHJZZmYmvvnmGwwaNEj1FOUGDhyIY8eOYenSpaqnkAM+++wziAhuvfVW1VOUS05OxuzZsxnehvr000/Rt29f1KxZU/UUpdgvZmO/XMB+MRv75QL2i9nYL4XYL2Zjv1zAfjEb++UC9ovZ2C+F2C9mY79cwH4xG/vlAvaL2dgvhdgvZmO/XMB+MRv75QL2i9nc7hdXXsYFCg93zpw5yM3NdeuR5JLPP/8cAKz/agkAiI6ORocOHTBt2jTVU8gB06dPR79+/az/BSZQ+Jmenp6OxYsXq55CAXb8+HEsXLgQycnJqqdogf1iLvbLBewXs7FfLmC/mIv9Uhz7xVzslwvYL2Zjv1zAfjEX+6U49ou52C8XsF/Mxn65gP1iLvZLcewXc7FfLmC/mI39cgH7xVwq+sW1l3EHDx6M48eP44svvnDrkeSS999/HwMGDECNGjVUT9HC3XffjenTp+P06dOqp1AAHTx4EAsWLMDdd9+teooWmjVrhsTEREyZMkX1FAqw//znPwgLC8NvfvMb1VO0wH4xF/ulOPaLmdgvxbFfzMV+KY5ksR0TAAAgAElEQVT9Yi72S3HsFzOxX4pjv5iL/VIc+8Vc7Jfi2C9mYr8Ux34xF/ulOPaLudgvxbFfzMR+KY79Yi4V/eLay7hNmjRBv379MGnSJLceSS7YtWsXVqxYgQceeED1FG3cc889OHfuHL86yDBTpkxB9erV+Vv0/5f7778fc+bMQVpamuopFECTJ0/GwIEDccUVV6ieogX2i5nYLxdjv5iJ/XIx9ouZ2C/FsV/MxH65GPvFTOyXi7FfzMR+KY79Yib2y8XYL2Ziv1yM/WIm9ktx7BczsV8uxn4xE/vlYuwXM6noF9dexgWABx54AAsXLkRqaqqbjyUHvfvuu2jSpAn69Omjeoo2atWqhdtvvx3vvPOO6ikUIPn5+Zg8eTLuvfdehIeHq56jjeTkZFSqVAkffPCB6ikUIGvXrsWWLVswfPhw1VO0wn4xD/vlYuwX87BfLo39Yh72y6WxX8zDfrkY+8U87JdLY7+Yh/1yaewX87BfLsZ+MQ/75dLYL+Zhv1wa+8U87JeLsV/Mw365NPaLeVT1i6sv4958882IiorChAkT3HwsOeTUqVOYNGkSRo4ciaAgV09Je48//jg2bNiAFStWqJ5CATBr1izs378fI0aMUD1FK5UrV8awYcPw5ptv4ty5c6rnUACMGzcOHTp0QEJCguopWmG/mIX9cnnsF7OwXy6N/WIe9sulsV/Mwn65PPaLWdgvl8Z+MQ/75dLYL2Zhv1we+8Us7JdLY7+Yh/1yaewXs7BfLo/9Yhb2y6WxX8yjql9c/RkkODgYjzzyCCZNmoT09HQ3H00O+Ne//oWCggI89NBDqqdop1OnTkhISMC4ceNUT6EAeOONN3DbbbehRYsWqqdo5/HHH8fhw4cxY8YM1VOogn766SfMmTMHTz31lOop2mG/mIX9cnnsF7OwXy6P/WIO9svlsV/Mwn65PPaLWdgvl8d+MQf75fLYL2Zhv1we+8Us7JfLY7+Yg/1yeewXs7BfLo/9Yhb2y+WxX8yhsl9c/3KO+++/H6GhoXj77bfdfjQFUHZ2NiZMmIDhw4ejRo0aqudoafTo0Zg7dy5++OEH1VOoApYsWYI1a9Zg9OjRqqdo6corr8Qdd9yBV199FSKieg5VwGuvvYbGjRvjzjvvVD1FS+wXM7BfSsd+MQP7pWTsF3OwX0rGfjED+6V07BczsF9Kxn4xB/ulZOwXM7BfSsd+MQP7pWTsF3OwX0rGfjED+6V07BczsF9Kxn4xh8p+8YmC6xk7diwmTJiA1NRU1KxZ0+3HUwC8+eabeOaZZ7Bnzx40atRI9RwtFRQUID4+HldffTWmTZumeg6VU8+ePREeHo4FCxaonqKtlJQUxMXFYdq0afyFuEft378fV111FSZOnIgHHnhA9RxtsV+8j/1SOvaLGdgvpWO/eB/7xT/sF+9jv5SO/WIG9kvp2C/ex37xD/vF+9gvpWO/mIH9Ujr2i/exX/zDfvE+9kvp2C9mYL+Ujv3ifYr7JU3Jy7gnTpxAs2bNMHLkSLz88stuP54qKCsrC82bN8eQIUP429CXYvbs2bjzzjuxefNmtG3bVvUcKqNvvvkG/fv3x3fffYeuXbuqnqO1wYMHY9u2bdi2bRuCg4NVz6Eyuv/++7F06VLs2LEDoaGhqudoi/3ibewX/7FfvI394j/2i7exX/zDfvE29ov/2C/exn7xH/vF29gv/mG/eBv7xX/sF29jv/iP/eJt7Bf/sF+8jf3iP/aLt7Ff/Md+8TbF/aLmZVwA+Pvf/46XX34ZP/zwA5o2bapiApXTiy++iPHjx2P37t2oW7eu6jlaExF07twZ1apVw+LFi1XPoTLIy8tD+/btER0djS+++EL1HO3t3LkTsbGxePPNN/Hwww+rnkNlsGXLFnTs2BFTpkzBPffco3qO9tgv3sV+8R/7xbvYL2XDfvEu9kvZsF+8i/3iP/aLd7Ffyob94l3sl7Jhv3gX+8V/7BfvYr+UDfvFu9gvZcN+8S72i//YL97Ffikb9ot3adAv6l7Gzc3NRdu2bdG6dWvMnj1bxQQqhz179iA2NhavvPIKHn/8cdVzPGH9+vXo2rUrPv74YwwePFj1HPLTuHHjMGbMGGzbtg1XXXWV6jme8PTTT2Py5MnYsWMHf6HiESKCbt26ISgoCCtWrIDP51M9SXvsF29iv5Qd+8Wb2C9lx37xHvZL2bFfvIn9UnbsF29iv5Qd+8V72C9lx37xJvZL2bFfvIn9UnbsF+9hv5Qd+8Wb2C9lx37xJvZL2bFfvEeTflH3Mi4ALFq0CH369MHcuXMxYMAAVTOoDG666Sbs378fmzZt4h9FUQYPPfQQvvjiC/z444+oUaOG6jlUisOHD6NVq1Z44okn8OKLL6qe4xlZWVmIiYnB9ddfj/fff1/1HPLD5MmT8dBDD2HDhg1o166d6jmewX7xHvZL+bBfvIX9Uj7sF+9hv5QP+8V72C/lw37xFvZL+bBfvIf9Uj7sF+9hv5QP+8Vb2C/lw37xHvZL+bBfvIf9Uj7sF29hv5QP+8V7NOkXtS/jAsDAgQOxdu1a/PDDD6hcubLKKVSKmTNnIjk5GUuXLkXPnj1Vz/GUjIwMtGrVCkOGDMH48eNVz6FSDBw4EBs3bsT333+PiIgI1XM8hZ8T3nH+c2no0KF44403VM/xHPaLd/BzqfzYL97Cfik/fk54B/ulYtgv3sHPpfJjv3gL+6X8+DnhHeyXimG/eAc/l8qP/eIt7Jfy4+eEd7BfKob94h38XCo/9ou3sF/Kj58T3qFRv6h/Gff8G/iPP/44xo4dq3IKlYBv/Ffc+Tfw169fj/bt26ueQ5dx/isWv/zyS9x0002q53gSv4LQGx588EHMnTsXO3bsQPXq1VXP8Rz2izewXyqO/eIN7JeKY794A/ulYtgv3sB+qTj2izewXyqO/eIN7JeKYb94A/ul4tgv3sB+qTj2izewXyqG/eIN7JeKY794A/ul4tgv3qBRv6h/GRcA3njjDTz77LNYvXo14uPjVc+hS3j44YcxY8YM/Pjjj6hbt67qOZ4kIujRoweysrKwevVqfsWJhjIzMxEfH4/27dtj1qxZqud41p49exAbG4tnnnmGv8jU1MKFC9G/f398/PHHGDx4sOo5nsV+0R/7peLYL/pjvwQG+0V/7JfAYL/oj/1ScewX/bFfAoP9oj/2S2CwX/THfqk49ov+2C+BwX7RH/slMNgv+mO/VBz7RX/sl8Bgv+hPs37R42XcgoIC9O/fH6mpqdi4caPqN5Tp/5g+fToGDRqEmTNn4vbbb1c9x9P27t2LDh064O6778Zbb72leg79H3feeSdWrlyJLVu2oH79+qrneNo///lPPProo5g/fz769Omjeg79lyNHjqB9+/bo0aMHpk2bpnqOp7Ff9MZ+CRz2i97YL4HDftEX+yVw2C96Y78EDvtFb+yXwGG/6Iv9EjjsF72xXwKH/aI39kvgsF/0xX4JHPaL3tgvgcN+0Rv7JXDYL/rSsF/0eBkXAI4ePYp27dqhe/fumD59uuo59L/27NmDDh064N5778Wbb76peo4RZs6cibvuugv/+c9/MGTIENVz6H+9+eabeOKJJ7BgwQLccMMNqucYYejQoVi8eDE2b96MBg0aqJ5DKPzFf79+/bBv3z5s3LgR1apVUz3J89gvemK/BB77RU/sl8Bjv+iH/RJ47Bc9sV8Cj/2iJ/ZL4LFf9MN+CTz2i57YL4HHftET+yXw2C/6Yb8EHvtFT+yXwGO/6In9EnjsF/1o2i/6vIwLAMuWLUPv3r0xceJEjBgxQvUc6+Xk5CAxMRH5+flYs2YNf1v5ABo5ciQ+/vhjrF+/HldffbXqOdbbsGEDunfvjjFjxuD5559XPccYp06dQseOHdGoUSMsXLgQwcHBqidZ74UXXsCrr77KPxYnwNgvemG/OIf9ohf2izPYL/phvziD/aIX9otz2C96Yb84g/2iH/aLM9gvemG/OIf9ohf2izPYL/phvziD/aIX9otz2C96Yb84g/2iH037Ra+XcQHgxRdfLPoH1b59e9VzrDZy5EhMnToVGzduRPPmzVXPMUp2djYSExMRFBSEVatWITw8XPUka504cQLx8fFo1qwZvvnmGwQFBameZJSNGzeiW7du+OMf/4gXXnhB9RyrLVq0CP369cNbb73FX/A7gP2iD/aLc9gv+mC/OIv9og/2i7PYL/pgvziH/aIP9ouz2C/6YL84i/2iD/aLc9gv+mC/OIv9og/2i7PYL/pgvziH/aIP9ouz2C/60Lhf0iCaycvLk169ekmTJk1k//79qudY68033xSfzyczZsxQPcVYu3btkmrVqsnAgQMlPz9f9RwrZWdnyw033CANGjSQw4cPq55jrIkTJ0pQUJB8+umnqqdYKyUlRWrVqiUDBw5UPcVY7Bc9sF+cx35Rj/3iDvaLeuwX57Ff9MB+cR77RT32izvYL+qxX5zHftED+8V57Bf12C/uYL+ox35xHvtFD+wX57Ff1GO/uIP9op7m/XJUu5dxRUQyMzOlbdu20rJlSzly5IjqOdb55JNPJCgoSP72t7+pnmK8pUuXSkREhIwYMUL1FOvk5+dLcnKyVKtWTTZt2qR6jvGefPJJCQ0Nlfnz56ueYp1ffvlFmjZtKl27dpXTp0+rnmM09ota7Bf3sF/UYb+4i/2iDvvFPewXtdgv7mG/qMN+cRf7RR32i3vYL2qxX9zDflGH/eIu9os67Bf3sF/UYr+4h/2iDvvFXewXdTzQL3q+jCsicvDgQYmKipLOnTvLqVOnVM+xxpIlSyQ8PFxGjhypeoo1PvvsMwkODpaXX35Z9RSrPPbYYxIWFiYLFixQPcUKBQUFcu+990rlypVl9erVqudY49ixY9K6dWu55pprJD09XfUcK7Bf1GC/uI/9ogb7xV3sFzXYL+5jv6jBfnEf+0UN9ou72C9qsF/cx35Rg/3iPvaLGuwXd7Ff1GC/uI/9ogb7xX3sFzXYL+5iv6jhkX7R92VcEZHdu3dLvXr1pHfv3pKTk6N6jvG2bt0q1atXl8GDB/O3jXfZO++8IwBk4sSJqqdY4aWXXpKgoCCZPn266ilWyc3NlaSkJImMjJQdO3aonmO8rKws6datmzRu3Fh+/vln1XOswn5xF/tFHfaLu9gvarBf3MV+UYf94i72izrsF3exX9Rgv7iL/aIO+8Vd7Bd12C/uYr+owX5xF/tFHfaLu9gv6rBf3MV+UYP94i4P9YveL+OKiKxdu1aqVq0qgwYNktzcXNVzjLV161apW7eu9O3bl+GnyIsvvijBwcEydepU1VOMNmHCBPH5fPLPf/5T9RQrnTp1Sjp37ixRUVGyd+9e1XOMdebMGenXr59ERkbKjz/+qHqOldgv7mC/qMd+cQf7RS32izvYL+qxX9zBflGP/eIO9ota7Bd3sF/UY7+4g/2iHvvFHewXtdgv7mC/qMd+cQf7RT32izvYL2qxX9zhsX7R/2VcEZFFixZJ1apVpX///nL69GnVc4yzfPlyqVGjhlx33XX8IxEUGz16tAQFBcmECRNUTzFOQUGBPPfcc+Lz+eTvf/+76jlWS0tLk/j4eKlfv75s3rxZ9RzjpKenS0JCgkRGRsr69etVz7Ea+8VZ7Bd9sF+cw37RB/vFWewXfbBfnMV+0Qf7xTnsF32wX5zFftEH+8VZ7Bd9sF+cw37RB/vFWewXfbBfnMV+0Qf7xTnsF32wX5zlwX7xxsu4IiLr16+XunXrSqdOneTo0aOq5xjj888/l0qVKsmtt94qWVlZqueQiIwfP158Pp+MGjVKCgoKVM8xQl5enjz00EMSHBws7777ruo5JIVfIdS3b1+pWrWqLFiwQPUcYxw8eFDi4uLkyiuv9MJXBFmB/eIM9ot+2C+Bx37RD/vFGewX/bBfnMF+0Q/7JfDYL/phvziD/aIf9osz2C/6Yb8EHvtFP+wXZ7Bf9MN+cQb7RT/sl8Bjv+iH/eIMj/aLd17GFRHZu3evtGjRQlq1aiU///yz6jmeN2XKFAkJCZFhw4bJuXPnVM+h//LRRx9JaGio3Hvvvfx3U0HZ2dly5513Snh4uMycOVP1HPovOTk5MnDgQAkPD5dp06apnuN5P/zwgzRt2lRiYmJk//79qufQf2G/BBb7RV/sl8Bhv+iL/RJY7Bd9sV8Ci/2iL/ZL4LBf9MV+CSz2i77YL4HFftEX+yVw2C/6Yr8EFvtFX+yXwGK/6Iv9EjjsF32xXwLLw/3irZdxRQrfeo6NjZXGjRvLunXrVM/xpLy8PBkzZoz4fD4ZO3as6jl0GV988YVUrlxZBgwYIMePH1c9x5MOHTok3bt3l5o1a8rKlStVz6FLyM/Pl5EjR0pwcLC88cYb/Gq4clq4cKHUqlVLunfvLhkZGarn0CWwXyqO/eIN7JeKY7/oj/0SGOwX/bFfKo794g3sl4pjv+iP/RIY7Bf9sV8qjv3iDeyXimO/6I/9EhjsF/2xXyqO/eIN7JeKY7/oj/0SGB7vF++9jCsicvz4cenbt6+EhYXJ+PHjebxlcOjQIenVq5dERETIe++9p3oOlWLVqlXSsGFDiY6OZnyX0cKFC6VevXrSsmVL+f7771XPoVK88sorEhwcLLfddhvjuwzy8vLk+eefl6CgIBk4cCD/uBXNsV/Kj/3iLeyX8mO/eAv7pXzYL97Cfik/9ou3sF/Kj/3iLeyX8mG/eAv7pfzYL97Cfik/9ou3sF/Kh/3iLeyX8mO/eAv7pfzYL97CfikfQ/rFmy/jiogUFBTI+PHjJTQ0VG655RZJT09XPUl7S5YskQYNGkhUVJSsWbNG9Rzy09GjRyUpKUlCQkLkb3/7G+O7FHl5efLiiy9KcHCw3H777fyJzUOWL18ujRo1kqZNm8rq1atVz9HekSNHpG/fvhIeHi7jx49XPYf8xH4pO/aLN7Ffyob94l3sl7Jhv3gT+6Xs2C/exH4pG/aLd7Ffyob94k3sl7Jjv3gT+6Vs2C/exX4pG/aLN7Ffyo794k3sl7Jhv3gX+6VsDOoX776Mex6Pt3T8cPY+xrd/jhw5In369JGIiAivfzhbKy0tjfHth/O/uGzZsqVs3rxZ9RwqB/ZL6dgv3sd+8Q/7xfvYL/5hv3gf+6V07BfvY7/4h/3ifewX/7BfvI/9Ujr2i/exX/zDfvE+9ot/2C/ex34pHfvF+9gv/mG/eB/7xT+G9Yv3X8YVKX68o0aNkpMnT6qepI1NmzZJ165d+eFsiPPx3aBBA/nwww9Vz9FGQUGBfPjhh1KnTh256qqrTPhwttp/x3fPnj35xyz8l4yMDBk1ahR/cWkI9svlsV/Mwn65NPaLWdgvl8d+MQv75fLYL2Zhv1wa+8Us7JfLY7+Yhf1yeewXs7BfLo39Yhb2y+WxX8zCfrk89otZ2C+Xxn4xC/vl8gztFzNexhURyc/Pl7fffltq1qwpjRs3lpkzZ6qepFRGRoY8/PDDEhQUJD179pSUlBTVkyhAjh07JsOHDxefzyd9+vSRnTt3qp6k1MaNG6VLly4SEhIiTz75pJw6dUr1JAqQtWvXSnx8vISFhckf/vAHOX36tOpJyhQUFMikSZMkMjJSGjRoIFOnTlU9iQKE/VIc+8Vc7Jfi2C/mYr9cwH4xF/ulOPaLudgvxbFfzMV+uYD9Yi72S3HsF3OxX4pjv5iL/XIB+8Vc7Jfi2C/mYr8Ux34xF/vlAsP7xZyXcc9LT0+XUaNGSVBQkPTq1Ut++OEH1ZNcdf4rJOrWrSv169eXDz/8kL/NtaE2bNggnTp1ktDQUBk1apR1PwkfP3686CskunfvLtu2bVM9iRyQn58vH374odSuXVsaNWpk5VfEbdmyRRITE4u++vXEiROqJ5ED2C/sF1uwX9gvNmC/sF9swX5hv9iC/cJ+sQH7hf1iC/YL+8UW7Bf2iw3YL+wXW7Bf2C+2YL+wX2zAfrGiX8x7Gfe8lStXSlxcnERERMjjjz8uhw8fVj3JcQsWLJAuXbpIcHCwPProo5KZmal6EjksLy9PJkyYINWrV5crr7xSJk2aJOfOnVM9y1Fnz56VN954Q+rWrSt169aVDz74gMFtgcOHD8s999wjPp9PevfuLd99953qSY7bt2+f/O53v5Pg4GBJTEyULVu2qJ5ELmC/sF9swH5hv9iC/cJ+sQX7hf1iA/YL+8UW7Bf2iy3YL+wXG7Bf2C+2YL+wX2zBfmG/2ID9wn6xBfvF6H4x92VcEZFz587JW2+9JQ0aNJAqVarI008/LYcOHVI9K+AWLFgg1157rQCQ/v37y+bNm1VPIpcdOnRIHnroIQkNDZUWLVrIlClTJCcnR/WsgDpz5oxMnDhRGjVqJJUrV5annnpKMjIyVM8il61YsUK6desmAOSmm26S1atXq54UcKmpqTJixAgJCwuTZs2ayUcffcTgtgz7hWzBfiFbsF/IBuwXsgX7hWzBfiEbsF/IFuwXsgX7hWzAfiFbsF/IFuwXI5n9Mu55WVlZ8vrrr0u9evUkLCxMhg0bJlu3blU9q0Kys7Pl3//+t7Rr104ASO/evWXlypWqZ5Fiqampct9990loaKg0bNhQXnnlFUlPT1c9q0J+/fVXef7556V27dpSqVIlefTRR438RQWVzbx586RLly4CQBITE2XWrFme/6q4NWvWSHJysgQHB0tUVJT861//ktzcXNWzSCH2C9mC/UK2YL+QDdgvZAv2C9mC/UI2YL+QLdgvZAv2C9mA/UK2YL+QLdgvRrHjZdzzsrOz5b333pOYmBgBIF27dpXJkyfLqVOnVE/zW0pKijz55JMSGRkpISEhMmTIENm4caPqWaSZAwcOyNNPPy3Vq1eXiIgIGTJkiCxdutQzX12Ql5cnX375pfzmN7+R0NBQqVOnjowdO1aOHj2qehpp5ttvv5Vbb71VgoKCpGHDhjJmzBhJTU1VPctvGRkZMnHiRGnbtq0AkA4dOsgnn3zi+bCiwGK/kC3YL2QL9gvZgP1CtmC/kC3YL2QD9gvZgv1CtmC/kA3YL2QL9gvZgv1iBLtexj2voKBAFi9eLIMHD5bw8HCpXLmy3HXXXTJjxgw5c+aM6nkX2bNnj/z1r38tOtbo6Gj585//LL/88ovqaaS5U6dOyaRJk4q+gqJJkyby5JNPypo1a7QLk7y8PFm2bJmMGDFC6tatKz6fT3r16iX/+c9/5OzZs6rnkeb27t0rf/zjH6Vhw4bi8/kkISFB3njjDTlw4IDqaRfJzMyUf//73zJgwAAJCwuTqlWryu9+9zsj/8gBCiz2C9mC/UK2YL+QDdgvZAv2C9mC/UI2YL+QLdgvZAv2C9mA/UK2YL+QLdgvnnbUJyICi2VkZGDmzJmYNm0ali9fjtDQUFx77bVISkpC7969ERMTg6CgIFc3nTp1CqtWrcI333yDefPmYefOnahTpw7uuOMODBw4ENdee63rm8j7UlJS8Omnn2LatGnYvXs36tWrh/79+6N///7o2bMnGjRo4Pqm/fv3Y8mSJZg/fz4WLlyIjIwMxMXFITk5GYMGDULz5s1d30TelpeXh4ULF2LatGn4/PPPkZmZibi4OCQlJaFv377o2rUrKleu7PqmrVu3YtGiRZg3bx5Wr14Nn8+HPn36IDk5GbfddhuuuOIKVzeR97FfyBbsF7IB+4VswX4hW7BfyAbsF7IF+4VswX4hG7BfyBbsF7IF+4VswH7xpDTrX8b9b0ePHsVXX32Fb775puiDsUaNGkhMTETnzp0RGxuLuLg4NGvWLGAxcPr0aaSkpGDbtm3YunUrVq1ahe3btyM/Px9xcXFFP1n06NEDISEhAXkm0datWzFv3jzMnz8fq1atQl5eHpo3b45u3bohPj4ebdq0Qdu2bREZGRmwZ/7666/Yvn07tm3bhk2bNmHFihX45ZdfEBERgR49eqB///646aabcPXVVwfsmWS3nJwcLF26FPPnz8e8efOwa9cuhIaGIj4+HgkJCYiLi0NcXBxiYmJQqVKlgDwzPz8fu3fvLrr1NWvWYM2aNTh9+jTq1auHfv36FX2u16xZMyDPJGK/kC3YL2QD9gvZgv1CtmC/kA3YL2QL9gvZgv1CNmC/kC3YL2QL9gvZgP3iGXwZ93Ly8/Oxfft2rFy5EqtXr8b69euRmpqKgoIChIeHIyoqClFRUWjSpAnq1q2LyMhI1K5du+iga9SogZycHJw9exYAcPz4caSlpSE9PR1HjhzBTz/9hH379uHXX38FAFStWhWxsbHo2rUrunfvjsTERNSvX1/Zj5/scerUKaxZswarVq3C6tWrsWXLFqSlpQEAatasiaioKERHR6NRo0aoXbs2ateujcjISAQHByM0NBRVq1bFyZMnkZ+fj3PnziE9PR3p6ek4duwYDhw4gH379mHfvn04efIkAKBBgwZo3749EhMT0b17d3Tu3DlgPxEQleTAgQNFn+lr1qxBSkoKzp49i6CgIDRo0ADR0dGIjo5GnTp1EBkZiTp16qB69eoAgMqVKyM0NBQnTpwAAGRlZeHYsWM4duwYjhw5ggMHDuCnn37CgQMHkJubi5CQELRs2RIdO3ZEt27d0L17d8TExMDn86n8R0AWYL+QLdgvZAv2C9mA/UK2YL+QLdgvZAP2C9mC/UK2YL+QDdgvZAv2C9mC/aItvoxbFmfOnEFKSgp27NhRFBO//PJLUWRkZGQgKyvrkv/dWrVqFX2Q16lTp+joo6P/f3t3zJowFAVg9FIqiuKUQRAHFRdF8P9D/4WOGRyFitIhi0To1EBrJ8GqvefsgffgEr7hhkxiuVzGdDo1pDyM3W4X6/U6yrL8Fs5foXE4HKKu64vnWq1WM+dFUcRwOIzJZBLj8Thms1msVqsoiuION4JL5/M5yrKMzWbTzPl2u20iY7/fN/HxU6/Xa97rg8EgRqNRE+7z+TwWi0V0Op0/vjO39fYAAAC8SURBVBH8Tr+QhX4hA/1CFvqFLPQLGegXstAvZKFfyEC/kIV+IQv9Qgb65WFYxr2V4/EY7XY7ut3uvY8CN3M6naKqquj3+34jwb9WVVXUdd18KQT/lX4hA/1CFvqFLPQLGegXstAvZKFfyEC/kIV+IQv9Qgb6hSz0y01ZxgUAAAAAAAAAAACAK72/3PsEAAAAAAAAAAAAAPCsLOMCAAAAAAAAAAAAwJVeI+Lt3ocAAAAAAAAAAAAAgCf08QnIvhqpTKQMMgAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "dask.visualize(dasky.mean(axis=-1))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "dasky.mean(axis=-1).compute()"
    ]
@@ -306,7 +135,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -315,450 +144,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
-   "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",
-       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
-       "<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",
-       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
-       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "</symbol>\n",
-       "</defs>\n",
-       "</svg>\n",
-       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
-       " *\n",
-       " */\n",
-       "\n",
-       ":root {\n",
-       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
-       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
-       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
-       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
-       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
-       "  --xr-background-color: var(--jp-layout-color0, white);\n",
-       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
-       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
-       "}\n",
-       "\n",
-       "html[theme=dark],\n",
-       "body[data-theme=dark],\n",
-       "body.vscode-dark {\n",
-       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
-       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
-       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
-       "  --xr-border-color: #1F1F1F;\n",
-       "  --xr-disabled-color: #515151;\n",
-       "  --xr-background-color: #111111;\n",
-       "  --xr-background-color-row-even: #111111;\n",
-       "  --xr-background-color-row-odd: #313131;\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\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",
-       "  margin-bottom: 4px;\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\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-array-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item 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",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\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",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\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",
-       "  margin-bottom: 0;\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",
-       "}\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",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\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-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",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;air&#x27; (time: 2920, lat: 25, lon: 53)&gt;\n",
-       "[3869000 values with dtype=float32]\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
-       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
-       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
-       "Attributes:\n",
-       "    long_name:     4xDaily Air temperature at sigma level 995\n",
-       "    units:         degK\n",
-       "    precision:     2\n",
-       "    GRIB_id:       11\n",
-       "    GRIB_name:     TMP\n",
-       "    var_desc:      Air temperature\n",
-       "    dataset:       NMC Reanalysis\n",
-       "    level_desc:    Surface\n",
-       "    statistic:     Individual Obs\n",
-       "    parent_stat:   Other\n",
-       "    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-52b8344b-8455-4e63-ac25-d9d17b899b8a' class='xr-array-in' type='checkbox' checked><label for='section-52b8344b-8455-4e63-ac25-d9d17b899b8a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[3869000 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-0e9afcef-30f7-475c-a115-93c5dfc76ea9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0e9afcef-30f7-475c-a115-93c5dfc76ea9' class='xr-section-summary' >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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-7ad642a9-999a-49c8-beba-19d36f973c63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ad642a9-999a-49c8-beba-19d36f973c63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40edce3b-519d-4739-8133-defe81a1066f' class='xr-var-data-in' type='checkbox'><label for='data-40edce3b-519d-4739-8133-defe81a1066f' 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>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,\n",
-       "       45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,\n",
-       "       15. ], 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'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ad6d7444-8e93-4ee4-9ce9-81ffd04a49d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad6d7444-8e93-4ee4-9ce9-81ffd04a49d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5383596-4cd3-4d4e-8305-435862e45267' class='xr-var-data-in' type='checkbox'><label for='data-e5383596-4cd3-4d4e-8305-435862e45267' 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>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
-       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
-       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
-       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
-       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
-       "       325. , 327.5, 330. ], dtype=float32)</pre></div></li><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'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-166ba93b-a774-4ec9-844c-a70bf5b6c4b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-166ba93b-a774-4ec9-844c-a70bf5b6c4b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eeac2c73-71f3-4ed0-a2d9-e9e1eee22778' class='xr-var-data-in' type='checkbox'><label for='data-eeac2c73-71f3-4ed0-a2d9-e9e1eee22778' 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></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,\n",
-       "       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,\n",
-       "       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-699d01b8-a56f-48d7-b5c5-e200cfdb4fea' class='xr-section-summary-in' type='checkbox'  ><label for='section-699d01b8-a56f-48d7-b5c5-e200cfdb4fea' class='xr-section-summary' >Indexes: <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-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e212ab12-e2e7-405e-ad48-a6a2a1d6b135' class='xr-index-data-in' type='checkbox'/><label for='index-e212ab12-e2e7-405e-ad48-a6a2a1d6b135' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,\n",
-       "       45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,\n",
-       "       15.0],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5ee40465-6939-41a1-a592-439ae0d93081' class='xr-index-data-in' type='checkbox'/><label for='index-5ee40465-6939-41a1-a592-439ae0d93081' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,\n",
-       "       225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,\n",
-       "       250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,\n",
-       "       275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,\n",
-       "       300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,\n",
-       "       325.0, 327.5, 330.0],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c78bb939-f188-4d52-9966-094b91b4dbeb' class='xr-index-data-in' type='checkbox'/><label for='index-c78bb939-f188-4d52-9966-094b91b4dbeb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,\n",
-       "               &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,\n",
-       "               &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,\n",
-       "               &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,\n",
-       "               &#x27;2013-01-03 00:00:00&#x27;, &#x27;2013-01-03 06:00:00&#x27;,\n",
-       "               ...\n",
-       "               &#x27;2014-12-29 12:00:00&#x27;, &#x27;2014-12-29 18:00:00&#x27;,\n",
-       "               &#x27;2014-12-30 00:00:00&#x27;, &#x27;2014-12-30 06:00:00&#x27;,\n",
-       "               &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,\n",
-       "               &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,\n",
-       "               &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ed5ca814-0bfc-468f-adae-73cfaa8db1c6' class='xr-section-summary-in' type='checkbox'  ><label for='section-ed5ca814-0bfc-468f-adae-73cfaa8db1c6' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'air' (time: 2920, lat: 25, lon: 53)>\n",
-       "[3869000 values with dtype=float32]\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
-       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
-       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
-       "Attributes:\n",
-       "    long_name:     4xDaily Air temperature at sigma level 995\n",
-       "    units:         degK\n",
-       "    precision:     2\n",
-       "    GRIB_id:       11\n",
-       "    GRIB_name:     TMP\n",
-       "    var_desc:      Air temperature\n",
-       "    dataset:       NMC Reanalysis\n",
-       "    level_desc:    Surface\n",
-       "    statistic:     Individual Obs\n",
-       "    parent_stat:   Other\n",
-       "    actual_range:  [185.16 322.1 ]"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ds = xr.tutorial.open_dataset(\"air_temperature\")\n",
     "ds.air"
@@ -766,525 +154,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
-   "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",
-       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
-       "<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",
-       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
-       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "</symbol>\n",
-       "</defs>\n",
-       "</svg>\n",
-       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
-       " *\n",
-       " */\n",
-       "\n",
-       ":root {\n",
-       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
-       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
-       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
-       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
-       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
-       "  --xr-background-color: var(--jp-layout-color0, white);\n",
-       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
-       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
-       "}\n",
-       "\n",
-       "html[theme=dark],\n",
-       "body[data-theme=dark],\n",
-       "body.vscode-dark {\n",
-       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
-       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
-       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
-       "  --xr-border-color: #1F1F1F;\n",
-       "  --xr-disabled-color: #515151;\n",
-       "  --xr-background-color: #111111;\n",
-       "  --xr-background-color-row-even: #111111;\n",
-       "  --xr-background-color-row-odd: #313131;\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\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",
-       "  margin-bottom: 4px;\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\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-array-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item 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",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\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",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\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",
-       "  margin-bottom: 0;\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",
-       "}\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",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\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-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",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:  (lat: 25, time: 2920, lon: 53)\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
-       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
-       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
-       "Data variables:\n",
-       "    air      (time, lat, lon) float32 dask.array&lt;chunksize=(2920, 25, 25), meta=np.ndarray&gt;\n",
-       "Attributes:\n",
-       "    Conventions:  COARDS\n",
-       "    title:        4x daily NMC reanalysis (1948)\n",
-       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
-       "    platform:     Model\n",
-       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</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-8120ef7e-7b7f-4ffa-a1fa-920a7b6d20ee' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8120ef7e-7b7f-4ffa-a1fa-920a7b6d20ee' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d2650099-6321-4f69-ba59-6fb8650e3c9b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d2650099-6321-4f69-ba59-6fb8650e3c9b' class='xr-section-summary' >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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-a4ac5053-f9a7-4784-9404-104353d30e45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4ac5053-f9a7-4784-9404-104353d30e45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f62cb0a-0d48-439b-b152-10fcadb95b57' class='xr-var-data-in' type='checkbox'><label for='data-0f62cb0a-0d48-439b-b152-10fcadb95b57' 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>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,\n",
-       "       45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,\n",
-       "       15. ], 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'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ba943574-97e3-4aa6-8b7d-5122e55ae461' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba943574-97e3-4aa6-8b7d-5122e55ae461' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c9a37f9-ad0b-4a9e-8cdb-c2848db78181' class='xr-var-data-in' type='checkbox'><label for='data-3c9a37f9-ad0b-4a9e-8cdb-c2848db78181' 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>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
-       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
-       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
-       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
-       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
-       "       325. , 327.5, 330. ], dtype=float32)</pre></div></li><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'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-1c927b3a-3fdf-4aa8-86bb-d3e9db3e93b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c927b3a-3fdf-4aa8-86bb-d3e9db3e93b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc328c04-6f15-4955-adfe-8333163ba667' class='xr-var-data-in' type='checkbox'><label for='data-bc328c04-6f15-4955-adfe-8333163ba667' 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></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,\n",
-       "       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,\n",
-       "       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ec587e49-5d8c-4e2f-afd9-48478c67b11a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ec587e49-5d8c-4e2f-afd9-48478c67b11a' class='xr-section-summary' >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>air</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=(2920, 25, 25), meta=np.ndarray&gt;</div><input id='attrs-1ebf5422-8d64-4cf0-81e6-eaff740d23b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ebf5422-8d64-4cf0-81e6-eaff740d23b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da30b8a6-b926-42c9-892b-acd270f8a91b' class='xr-var-data-in' type='checkbox'><label for='data-da30b8a6-b926-42c9-892b-acd270f8a91b' 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>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</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> 14.76 MiB </td>\n",
-       "                        <td> 6.96 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (2920, 25, 53) </td>\n",
-       "                        <td> (2920, 25, 25) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 3 chunks in 2 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=\"159\" height=\"146\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"10\" y1=\"0\" x2=\"80\" y2=\"70\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"10\" y1=\"25\" x2=\"80\" y2=\"96\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"80\" y1=\"70\" x2=\"80\" y2=\"96\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"10.0,0.0 80.58823529411765,70.58823529411765 80.58823529411765,96.00085180870013 10.0,25.41261651458249\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"10\" y1=\"0\" x2=\"38\" y2=\"0\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"80\" y1=\"70\" x2=\"109\" y2=\"70\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"10\" y1=\"0\" x2=\"80\" y2=\"70\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"23\" y1=\"0\" x2=\"94\" y2=\"70\" />\n",
-       "  <line x1=\"36\" y1=\"0\" x2=\"107\" y2=\"70\" />\n",
-       "  <line x1=\"38\" y1=\"0\" x2=\"109\" y2=\"70\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"10.0,0.0 38.48973265594604,0.0 109.0779679500637,70.58823529411765 80.58823529411765,70.58823529411765\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"80\" y1=\"70\" x2=\"109\" y2=\"70\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"80\" y1=\"96\" x2=\"109\" y2=\"96\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"80\" y1=\"70\" x2=\"80\" y2=\"96\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"94\" y1=\"70\" x2=\"94\" y2=\"96\" />\n",
-       "  <line x1=\"107\" y1=\"70\" x2=\"107\" y2=\"96\" />\n",
-       "  <line x1=\"109\" y1=\"70\" x2=\"109\" y2=\"96\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"80.58823529411765,70.58823529411765 109.0779679500637,70.58823529411765 109.0779679500637,96.00085180870013 80.58823529411765,96.00085180870013\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"94.833102\" y=\"116.000852\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >53</text>\n",
-       "  <text x=\"129.077968\" y=\"83.294544\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,129.077968,83.294544)\">25</text>\n",
-       "  <text x=\"35.294118\" y=\"80.706734\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,35.294118,80.706734)\">2920</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-eb3b7ad1-ec86-405e-bc4d-7bd8acd7c355' class='xr-section-summary-in' type='checkbox'  ><label for='section-eb3b7ad1-ec86-405e-bc4d-7bd8acd7c355' class='xr-section-summary' >Indexes: <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-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b3f14330-3dd7-4e84-854a-d75df7371da4' class='xr-index-data-in' type='checkbox'/><label for='index-b3f14330-3dd7-4e84-854a-d75df7371da4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,\n",
-       "       45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,\n",
-       "       15.0],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0bccbf72-5dff-4fc2-9a3d-3166f14da9f5' class='xr-index-data-in' type='checkbox'/><label for='index-0bccbf72-5dff-4fc2-9a3d-3166f14da9f5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,\n",
-       "       225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,\n",
-       "       250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,\n",
-       "       275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,\n",
-       "       300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,\n",
-       "       325.0, 327.5, 330.0],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-302560a7-35f1-45d2-96ac-78d09dfe4bf5' class='xr-index-data-in' type='checkbox'/><label for='index-302560a7-35f1-45d2-96ac-78d09dfe4bf5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,\n",
-       "               &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,\n",
-       "               &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,\n",
-       "               &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,\n",
-       "               &#x27;2013-01-03 00:00:00&#x27;, &#x27;2013-01-03 06:00:00&#x27;,\n",
-       "               ...\n",
-       "               &#x27;2014-12-29 12:00:00&#x27;, &#x27;2014-12-29 18:00:00&#x27;,\n",
-       "               &#x27;2014-12-30 00:00:00&#x27;, &#x27;2014-12-30 06:00:00&#x27;,\n",
-       "               &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,\n",
-       "               &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,\n",
-       "               &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91409501-9ff9-49ad-a718-1985bcea302e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-91409501-9ff9-49ad-a718-1985bcea302e' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis\n",
-       "(4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset>\n",
-       "Dimensions:  (lat: 25, time: 2920, lon: 53)\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
-       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
-       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
-       "Data variables:\n",
-       "    air      (time, lat, lon) float32 dask.array<chunksize=(2920, 25, 25), meta=np.ndarray>\n",
-       "Attributes:\n",
-       "    Conventions:  COARDS\n",
-       "    title:        4x daily NMC reanalysis (1948)\n",
-       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
-       "    platform:     Model\n",
-       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly..."
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ds = xr.tutorial.open_dataset(\n",
     "    \"air_temperature\",\n",
@@ -1358,7 +230,6 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": true,
     "jupyter": {
      "outputs_hidden": true
     },
@@ -1382,7 +253,6 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": true,
     "jupyter": {
      "outputs_hidden": true
     },
@@ -1578,381 +448,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/ynorden/miniconda3/envs/xarray-tutorial/lib/python3.11/site-packages/distributed/node.py:182: UserWarning: Port 8787 is already in use.\n",
-      "Perhaps you already have a cluster running?\n",
-      "Hosting the HTTP server on port 53590 instead\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
-       "    <div style=\"margin-left: 48px;\">\n",
-       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
-       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-efedc7ec-06fe-11ee-8584-dab00aab5b16</p>\n",
-       "        <table style=\"width: 100%; text-align: left;\">\n",
-       "\n",
-       "        <tr>\n",
-       "        \n",
-       "            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
-       "            <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
-       "        \n",
-       "        </tr>\n",
-       "\n",
-       "        \n",
-       "            <tr>\n",
-       "                <td style=\"text-align: left;\">\n",
-       "                    <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53590/status\" target=\"_blank\">http://127.0.0.1:53590/status</a>\n",
-       "                </td>\n",
-       "                <td style=\"text-align: left;\"></td>\n",
-       "            </tr>\n",
-       "        \n",
-       "\n",
-       "        </table>\n",
-       "\n",
-       "        \n",
-       "            <button style=\"margin-bottom: 12px;\" data-commandlinker-command=\"dask:populate-and-launch-layout\" data-commandlinker-args='{\"url\": \"http://127.0.0.1:53590/status\" }'>\n",
-       "                Launch dashboard in JupyterLab\n",
-       "            </button>\n",
-       "        \n",
-       "\n",
-       "        \n",
-       "            <details>\n",
-       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
-       "            <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
-       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
-       "    </div>\n",
-       "    <div style=\"margin-left: 48px;\">\n",
-       "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
-       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">48c8d8eb</p>\n",
-       "        <table style=\"width: 100%; text-align: left;\">\n",
-       "            <tr>\n",
-       "                <td style=\"text-align: left;\">\n",
-       "                    <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:53590/status\" target=\"_blank\">http://127.0.0.1:53590/status</a>\n",
-       "                </td>\n",
-       "                <td style=\"text-align: left;\">\n",
-       "                    <strong>Workers:</strong> 5\n",
-       "                </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <td style=\"text-align: left;\">\n",
-       "                    <strong>Total threads:</strong> 10\n",
-       "                </td>\n",
-       "                <td style=\"text-align: left;\">\n",
-       "                    <strong>Total memory:</strong> 32.00 GiB\n",
-       "                </td>\n",
-       "            </tr>\n",
-       "            \n",
-       "            <tr>\n",
-       "    <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
-       "    <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
-       "</tr>\n",
-       "\n",
-       "            \n",
-       "        </table>\n",
-       "\n",
-       "        <details>\n",
-       "            <summary style=\"margin-bottom: 20px;\">\n",
-       "                <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
-       "            </summary>\n",
-       "\n",
-       "            <div style=\"\">\n",
-       "    <div>\n",
-       "        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
-       "        <div style=\"margin-left: 48px;\">\n",
-       "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
-       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-0e793517-bac2-4172-8d3c-0b90c92c8812</p>\n",
-       "            <table style=\"width: 100%; text-align: left;\">\n",
-       "                <tr>\n",
-       "                    <td style=\"text-align: left;\">\n",
-       "                        <strong>Comm:</strong> tcp://127.0.0.1:53591\n",
-       "                    </td>\n",
-       "                    <td style=\"text-align: left;\">\n",
-       "                        <strong>Workers:</strong> 5\n",
-       "                    </td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <td style=\"text-align: left;\">\n",
-       "                        <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:53590/status\" target=\"_blank\">http://127.0.0.1:53590/status</a>\n",
-       "                    </td>\n",
-       "                    <td style=\"text-align: left;\">\n",
-       "                        <strong>Total threads:</strong> 10\n",
-       "                    </td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <td style=\"text-align: left;\">\n",
-       "                        <strong>Started:</strong> Just now\n",
-       "                    </td>\n",
-       "                    <td style=\"text-align: left;\">\n",
-       "                        <strong>Total memory:</strong> 32.00 GiB\n",
-       "                    </td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "\n",
-       "    <details style=\"margin-left: 48px;\">\n",
-       "        <summary style=\"margin-bottom: 20px;\">\n",
-       "            <h3 style=\"display: inline;\">Workers</h3>\n",
-       "        </summary>\n",
-       "\n",
-       "        \n",
-       "        <div style=\"margin-bottom: 20px;\">\n",
-       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
-       "            <div style=\"margin-left: 48px;\">\n",
-       "            <details>\n",
-       "                <summary>\n",
-       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
-       "                </summary>\n",
-       "                <table style=\"width: 100%; text-align: left;\">\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Comm: </strong> tcp://127.0.0.1:53606\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Total threads: </strong> 2\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53611/status\" target=\"_blank\">http://127.0.0.1:53611/status</a>\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Memory: </strong> 6.40 GiB\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Nanny: </strong> tcp://127.0.0.1:53594\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\"></td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
-       "                            <strong>Local directory: </strong> /var/folders/6s/g3njds_16zl3z7k3y91ztn8w0000gn/T/dask-scratch-space/worker-w22y_7zo\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                </table>\n",
-       "            </details>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        \n",
-       "        <div style=\"margin-bottom: 20px;\">\n",
-       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
-       "            <div style=\"margin-left: 48px;\">\n",
-       "            <details>\n",
-       "                <summary>\n",
-       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
-       "                </summary>\n",
-       "                <table style=\"width: 100%; text-align: left;\">\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Comm: </strong> tcp://127.0.0.1:53608\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Total threads: </strong> 2\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53610/status\" target=\"_blank\">http://127.0.0.1:53610/status</a>\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Memory: </strong> 6.40 GiB\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Nanny: </strong> tcp://127.0.0.1:53595\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\"></td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
-       "                            <strong>Local directory: </strong> /var/folders/6s/g3njds_16zl3z7k3y91ztn8w0000gn/T/dask-scratch-space/worker-k5_m5ngf\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                </table>\n",
-       "            </details>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        \n",
-       "        <div style=\"margin-bottom: 20px;\">\n",
-       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
-       "            <div style=\"margin-left: 48px;\">\n",
-       "            <details>\n",
-       "                <summary>\n",
-       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
-       "                </summary>\n",
-       "                <table style=\"width: 100%; text-align: left;\">\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Comm: </strong> tcp://127.0.0.1:53604\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Total threads: </strong> 2\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53612/status\" target=\"_blank\">http://127.0.0.1:53612/status</a>\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Memory: </strong> 6.40 GiB\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Nanny: </strong> tcp://127.0.0.1:53596\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\"></td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
-       "                            <strong>Local directory: </strong> /var/folders/6s/g3njds_16zl3z7k3y91ztn8w0000gn/T/dask-scratch-space/worker-9jau_juc\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                </table>\n",
-       "            </details>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        \n",
-       "        <div style=\"margin-bottom: 20px;\">\n",
-       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
-       "            <div style=\"margin-left: 48px;\">\n",
-       "            <details>\n",
-       "                <summary>\n",
-       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
-       "                </summary>\n",
-       "                <table style=\"width: 100%; text-align: left;\">\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Comm: </strong> tcp://127.0.0.1:53605\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Total threads: </strong> 2\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53613/status\" target=\"_blank\">http://127.0.0.1:53613/status</a>\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Memory: </strong> 6.40 GiB\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Nanny: </strong> tcp://127.0.0.1:53597\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\"></td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
-       "                            <strong>Local directory: </strong> /var/folders/6s/g3njds_16zl3z7k3y91ztn8w0000gn/T/dask-scratch-space/worker-bz0jzm8l\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                </table>\n",
-       "            </details>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        \n",
-       "        <div style=\"margin-bottom: 20px;\">\n",
-       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
-       "            <div style=\"margin-left: 48px;\">\n",
-       "            <details>\n",
-       "                <summary>\n",
-       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
-       "                </summary>\n",
-       "                <table style=\"width: 100%; text-align: left;\">\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Comm: </strong> tcp://127.0.0.1:53607\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Total threads: </strong> 2\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53609/status\" target=\"_blank\">http://127.0.0.1:53609/status</a>\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Memory: </strong> 6.40 GiB\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Nanny: </strong> tcp://127.0.0.1:53598\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\"></td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
-       "                            <strong>Local directory: </strong> /var/folders/6s/g3njds_16zl3z7k3y91ztn8w0000gn/T/dask-scratch-space/worker-kmthvhw1\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                </table>\n",
-       "            </details>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        \n",
-       "\n",
-       "    </details>\n",
-       "</div>\n",
-       "\n",
-       "        </details>\n",
-       "    </div>\n",
-       "</div>\n",
-       "            </details>\n",
-       "        \n",
-       "\n",
-       "    </div>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "<Client: 'tcp://127.0.0.1:53591' processes=5 threads=10, memory=32.00 GiB>"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from dask.distributed import Client\n",
     "\n",
@@ -1989,7 +487,6 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": true,
     "jupyter": {
      "outputs_hidden": true
     },
@@ -2046,7 +543,6 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": true,
     "jupyter": {
      "outputs_hidden": true
     },
@@ -2140,11 +636,6 @@
   }
  ],
  "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
@@ -2154,8 +645,7 @@
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "pygments_lexer": "ipython3"
   }
  },
  "nbformat": 4,

From d2b6113aed1a34eee5a91449e4420c9cfe757c55 Mon Sep 17 00:00:00 2001
From: yutik-nn <worshiptheocean@gmail.com>
Date: Mon, 12 Jun 2023 11:24:09 -0600
Subject: [PATCH 4/6] cleared cells output

---
 intermediate/xarray_and_dask.ipynb | 1546 +---------------------------
 1 file changed, 15 insertions(+), 1531 deletions(-)

diff --git a/intermediate/xarray_and_dask.ipynb b/intermediate/xarray_and_dask.ipynb
index 8d82e0ea..8da38aab 100644
--- a/intermediate/xarray_and_dask.ipynb
+++ b/intermediate/xarray_and_dask.ipynb
@@ -43,84 +43,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<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> 400 B </td>\n",
-       "                        <td> 32 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (10, 5) </td>\n",
-       "                        <td> (2, 2) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 15 chunks in 1 graph layer </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"110\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"60\" y2=\"0\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"0\" y1=\"24\" x2=\"60\" y2=\"24\" />\n",
-       "  <line x1=\"0\" y1=\"48\" x2=\"60\" y2=\"48\" />\n",
-       "  <line x1=\"0\" y1=\"72\" x2=\"60\" y2=\"72\" />\n",
-       "  <line x1=\"0\" y1=\"96\" x2=\"60\" y2=\"96\" />\n",
-       "  <line x1=\"0\" y1=\"120\" x2=\"60\" 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=\"24\" y1=\"0\" x2=\"24\" y2=\"120\" />\n",
-       "  <line x1=\"48\" y1=\"0\" x2=\"48\" y2=\"120\" />\n",
-       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"0.0,0.0 60.0,0.0 60.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"30.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >5</text>\n",
-       "  <text x=\"80.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,80.000000,60.000000)\">10</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table>"
-      ],
-      "text/plain": [
-       "dask.array<ones_like, shape=(10, 5), dtype=float64, chunksize=(2, 2), chunktype=numpy.ndarray>"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import dask\n",
     "import dask.array\n",
@@ -146,82 +71,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<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> 80 B </td>\n",
-       "                        <td> 16 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (10,) </td>\n",
-       "                        <td> (2,) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 5 chunks in 3 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"170\" height=\"88\" 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=\"38\" x2=\"120\" y2=\"38\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"38\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"24\" y1=\"0\" x2=\"24\" y2=\"38\" />\n",
-       "  <line x1=\"48\" y1=\"0\" x2=\"48\" y2=\"38\" />\n",
-       "  <line x1=\"72\" y1=\"0\" x2=\"72\" y2=\"38\" />\n",
-       "  <line x1=\"96\" y1=\"0\" x2=\"96\" y2=\"38\" />\n",
-       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"38\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,38.596863036086 0.0,38.596863036086\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"60.000000\" y=\"58.596863\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >10</text>\n",
-       "  <text x=\"140.000000\" y=\"19.298432\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,19.298432)\">1</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table>"
-      ],
-      "text/plain": [
-       "dask.array<mean_agg-aggregate, shape=(10,), dtype=float64, chunksize=(2,), chunktype=numpy.ndarray>"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "dasky.mean(axis=-1)"
    ]
@@ -237,41 +89,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "dask.visualize(dasky.mean(axis=-1))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "dasky.mean(axis=-1).compute()"
    ]
@@ -306,7 +135,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -315,450 +144,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
-   "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",
-       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
-       "<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",
-       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
-       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "</symbol>\n",
-       "</defs>\n",
-       "</svg>\n",
-       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
-       " *\n",
-       " */\n",
-       "\n",
-       ":root {\n",
-       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
-       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
-       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
-       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
-       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
-       "  --xr-background-color: var(--jp-layout-color0, white);\n",
-       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
-       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
-       "}\n",
-       "\n",
-       "html[theme=dark],\n",
-       "body[data-theme=dark],\n",
-       "body.vscode-dark {\n",
-       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
-       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
-       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
-       "  --xr-border-color: #1F1F1F;\n",
-       "  --xr-disabled-color: #515151;\n",
-       "  --xr-background-color: #111111;\n",
-       "  --xr-background-color-row-even: #111111;\n",
-       "  --xr-background-color-row-odd: #313131;\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\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",
-       "  margin-bottom: 4px;\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\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-array-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item 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",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\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",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\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",
-       "  margin-bottom: 0;\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",
-       "}\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",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\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-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",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;air&#x27; (time: 2920, lat: 25, lon: 53)&gt;\n",
-       "[3869000 values with dtype=float32]\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
-       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
-       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
-       "Attributes:\n",
-       "    long_name:     4xDaily Air temperature at sigma level 995\n",
-       "    units:         degK\n",
-       "    precision:     2\n",
-       "    GRIB_id:       11\n",
-       "    GRIB_name:     TMP\n",
-       "    var_desc:      Air temperature\n",
-       "    dataset:       NMC Reanalysis\n",
-       "    level_desc:    Surface\n",
-       "    statistic:     Individual Obs\n",
-       "    parent_stat:   Other\n",
-       "    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-52b8344b-8455-4e63-ac25-d9d17b899b8a' class='xr-array-in' type='checkbox' checked><label for='section-52b8344b-8455-4e63-ac25-d9d17b899b8a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[3869000 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-0e9afcef-30f7-475c-a115-93c5dfc76ea9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0e9afcef-30f7-475c-a115-93c5dfc76ea9' class='xr-section-summary' >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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-7ad642a9-999a-49c8-beba-19d36f973c63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ad642a9-999a-49c8-beba-19d36f973c63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40edce3b-519d-4739-8133-defe81a1066f' class='xr-var-data-in' type='checkbox'><label for='data-40edce3b-519d-4739-8133-defe81a1066f' 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>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,\n",
-       "       45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,\n",
-       "       15. ], 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'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ad6d7444-8e93-4ee4-9ce9-81ffd04a49d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad6d7444-8e93-4ee4-9ce9-81ffd04a49d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5383596-4cd3-4d4e-8305-435862e45267' class='xr-var-data-in' type='checkbox'><label for='data-e5383596-4cd3-4d4e-8305-435862e45267' 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>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
-       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
-       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
-       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
-       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
-       "       325. , 327.5, 330. ], dtype=float32)</pre></div></li><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'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-166ba93b-a774-4ec9-844c-a70bf5b6c4b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-166ba93b-a774-4ec9-844c-a70bf5b6c4b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eeac2c73-71f3-4ed0-a2d9-e9e1eee22778' class='xr-var-data-in' type='checkbox'><label for='data-eeac2c73-71f3-4ed0-a2d9-e9e1eee22778' 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></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,\n",
-       "       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,\n",
-       "       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-699d01b8-a56f-48d7-b5c5-e200cfdb4fea' class='xr-section-summary-in' type='checkbox'  ><label for='section-699d01b8-a56f-48d7-b5c5-e200cfdb4fea' class='xr-section-summary' >Indexes: <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-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e212ab12-e2e7-405e-ad48-a6a2a1d6b135' class='xr-index-data-in' type='checkbox'/><label for='index-e212ab12-e2e7-405e-ad48-a6a2a1d6b135' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,\n",
-       "       45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,\n",
-       "       15.0],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5ee40465-6939-41a1-a592-439ae0d93081' class='xr-index-data-in' type='checkbox'/><label for='index-5ee40465-6939-41a1-a592-439ae0d93081' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,\n",
-       "       225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,\n",
-       "       250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,\n",
-       "       275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,\n",
-       "       300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,\n",
-       "       325.0, 327.5, 330.0],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c78bb939-f188-4d52-9966-094b91b4dbeb' class='xr-index-data-in' type='checkbox'/><label for='index-c78bb939-f188-4d52-9966-094b91b4dbeb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,\n",
-       "               &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,\n",
-       "               &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,\n",
-       "               &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,\n",
-       "               &#x27;2013-01-03 00:00:00&#x27;, &#x27;2013-01-03 06:00:00&#x27;,\n",
-       "               ...\n",
-       "               &#x27;2014-12-29 12:00:00&#x27;, &#x27;2014-12-29 18:00:00&#x27;,\n",
-       "               &#x27;2014-12-30 00:00:00&#x27;, &#x27;2014-12-30 06:00:00&#x27;,\n",
-       "               &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,\n",
-       "               &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,\n",
-       "               &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ed5ca814-0bfc-468f-adae-73cfaa8db1c6' class='xr-section-summary-in' type='checkbox'  ><label for='section-ed5ca814-0bfc-468f-adae-73cfaa8db1c6' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'air' (time: 2920, lat: 25, lon: 53)>\n",
-       "[3869000 values with dtype=float32]\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
-       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
-       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
-       "Attributes:\n",
-       "    long_name:     4xDaily Air temperature at sigma level 995\n",
-       "    units:         degK\n",
-       "    precision:     2\n",
-       "    GRIB_id:       11\n",
-       "    GRIB_name:     TMP\n",
-       "    var_desc:      Air temperature\n",
-       "    dataset:       NMC Reanalysis\n",
-       "    level_desc:    Surface\n",
-       "    statistic:     Individual Obs\n",
-       "    parent_stat:   Other\n",
-       "    actual_range:  [185.16 322.1 ]"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ds = xr.tutorial.open_dataset(\"air_temperature\")\n",
     "ds.air"
@@ -766,525 +154,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
-   "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",
-       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
-       "<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",
-       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
-       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "</symbol>\n",
-       "</defs>\n",
-       "</svg>\n",
-       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
-       " *\n",
-       " */\n",
-       "\n",
-       ":root {\n",
-       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
-       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
-       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
-       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
-       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
-       "  --xr-background-color: var(--jp-layout-color0, white);\n",
-       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
-       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
-       "}\n",
-       "\n",
-       "html[theme=dark],\n",
-       "body[data-theme=dark],\n",
-       "body.vscode-dark {\n",
-       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
-       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
-       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
-       "  --xr-border-color: #1F1F1F;\n",
-       "  --xr-disabled-color: #515151;\n",
-       "  --xr-background-color: #111111;\n",
-       "  --xr-background-color-row-even: #111111;\n",
-       "  --xr-background-color-row-odd: #313131;\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\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",
-       "  margin-bottom: 4px;\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\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-array-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item 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",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\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",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\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",
-       "  margin-bottom: 0;\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",
-       "}\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",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\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-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",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:  (lat: 25, time: 2920, lon: 53)\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
-       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
-       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
-       "Data variables:\n",
-       "    air      (time, lat, lon) float32 dask.array&lt;chunksize=(2920, 25, 25), meta=np.ndarray&gt;\n",
-       "Attributes:\n",
-       "    Conventions:  COARDS\n",
-       "    title:        4x daily NMC reanalysis (1948)\n",
-       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
-       "    platform:     Model\n",
-       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</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-8120ef7e-7b7f-4ffa-a1fa-920a7b6d20ee' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8120ef7e-7b7f-4ffa-a1fa-920a7b6d20ee' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d2650099-6321-4f69-ba59-6fb8650e3c9b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d2650099-6321-4f69-ba59-6fb8650e3c9b' class='xr-section-summary' >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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-a4ac5053-f9a7-4784-9404-104353d30e45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4ac5053-f9a7-4784-9404-104353d30e45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f62cb0a-0d48-439b-b152-10fcadb95b57' class='xr-var-data-in' type='checkbox'><label for='data-0f62cb0a-0d48-439b-b152-10fcadb95b57' 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>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,\n",
-       "       45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,\n",
-       "       15. ], 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'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ba943574-97e3-4aa6-8b7d-5122e55ae461' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba943574-97e3-4aa6-8b7d-5122e55ae461' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c9a37f9-ad0b-4a9e-8cdb-c2848db78181' class='xr-var-data-in' type='checkbox'><label for='data-3c9a37f9-ad0b-4a9e-8cdb-c2848db78181' 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>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
-       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
-       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
-       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
-       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
-       "       325. , 327.5, 330. ], dtype=float32)</pre></div></li><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'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-1c927b3a-3fdf-4aa8-86bb-d3e9db3e93b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c927b3a-3fdf-4aa8-86bb-d3e9db3e93b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc328c04-6f15-4955-adfe-8333163ba667' class='xr-var-data-in' type='checkbox'><label for='data-bc328c04-6f15-4955-adfe-8333163ba667' 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></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,\n",
-       "       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,\n",
-       "       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ec587e49-5d8c-4e2f-afd9-48478c67b11a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ec587e49-5d8c-4e2f-afd9-48478c67b11a' class='xr-section-summary' >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>air</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=(2920, 25, 25), meta=np.ndarray&gt;</div><input id='attrs-1ebf5422-8d64-4cf0-81e6-eaff740d23b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ebf5422-8d64-4cf0-81e6-eaff740d23b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da30b8a6-b926-42c9-892b-acd270f8a91b' class='xr-var-data-in' type='checkbox'><label for='data-da30b8a6-b926-42c9-892b-acd270f8a91b' 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>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</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> 14.76 MiB </td>\n",
-       "                        <td> 6.96 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (2920, 25, 53) </td>\n",
-       "                        <td> (2920, 25, 25) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 3 chunks in 2 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=\"159\" height=\"146\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"10\" y1=\"0\" x2=\"80\" y2=\"70\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"10\" y1=\"25\" x2=\"80\" y2=\"96\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"80\" y1=\"70\" x2=\"80\" y2=\"96\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"10.0,0.0 80.58823529411765,70.58823529411765 80.58823529411765,96.00085180870013 10.0,25.41261651458249\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"10\" y1=\"0\" x2=\"38\" y2=\"0\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"80\" y1=\"70\" x2=\"109\" y2=\"70\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"10\" y1=\"0\" x2=\"80\" y2=\"70\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"23\" y1=\"0\" x2=\"94\" y2=\"70\" />\n",
-       "  <line x1=\"36\" y1=\"0\" x2=\"107\" y2=\"70\" />\n",
-       "  <line x1=\"38\" y1=\"0\" x2=\"109\" y2=\"70\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"10.0,0.0 38.48973265594604,0.0 109.0779679500637,70.58823529411765 80.58823529411765,70.58823529411765\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"80\" y1=\"70\" x2=\"109\" y2=\"70\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"80\" y1=\"96\" x2=\"109\" y2=\"96\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"80\" y1=\"70\" x2=\"80\" y2=\"96\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"94\" y1=\"70\" x2=\"94\" y2=\"96\" />\n",
-       "  <line x1=\"107\" y1=\"70\" x2=\"107\" y2=\"96\" />\n",
-       "  <line x1=\"109\" y1=\"70\" x2=\"109\" y2=\"96\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"80.58823529411765,70.58823529411765 109.0779679500637,70.58823529411765 109.0779679500637,96.00085180870013 80.58823529411765,96.00085180870013\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"94.833102\" y=\"116.000852\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >53</text>\n",
-       "  <text x=\"129.077968\" y=\"83.294544\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,129.077968,83.294544)\">25</text>\n",
-       "  <text x=\"35.294118\" y=\"80.706734\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,35.294118,80.706734)\">2920</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-eb3b7ad1-ec86-405e-bc4d-7bd8acd7c355' class='xr-section-summary-in' type='checkbox'  ><label for='section-eb3b7ad1-ec86-405e-bc4d-7bd8acd7c355' class='xr-section-summary' >Indexes: <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-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b3f14330-3dd7-4e84-854a-d75df7371da4' class='xr-index-data-in' type='checkbox'/><label for='index-b3f14330-3dd7-4e84-854a-d75df7371da4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,\n",
-       "       45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,\n",
-       "       15.0],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0bccbf72-5dff-4fc2-9a3d-3166f14da9f5' class='xr-index-data-in' type='checkbox'/><label for='index-0bccbf72-5dff-4fc2-9a3d-3166f14da9f5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,\n",
-       "       225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,\n",
-       "       250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,\n",
-       "       275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,\n",
-       "       300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,\n",
-       "       325.0, 327.5, 330.0],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-302560a7-35f1-45d2-96ac-78d09dfe4bf5' class='xr-index-data-in' type='checkbox'/><label for='index-302560a7-35f1-45d2-96ac-78d09dfe4bf5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,\n",
-       "               &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,\n",
-       "               &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,\n",
-       "               &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,\n",
-       "               &#x27;2013-01-03 00:00:00&#x27;, &#x27;2013-01-03 06:00:00&#x27;,\n",
-       "               ...\n",
-       "               &#x27;2014-12-29 12:00:00&#x27;, &#x27;2014-12-29 18:00:00&#x27;,\n",
-       "               &#x27;2014-12-30 00:00:00&#x27;, &#x27;2014-12-30 06:00:00&#x27;,\n",
-       "               &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,\n",
-       "               &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,\n",
-       "               &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91409501-9ff9-49ad-a718-1985bcea302e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-91409501-9ff9-49ad-a718-1985bcea302e' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis\n",
-       "(4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset>\n",
-       "Dimensions:  (lat: 25, time: 2920, lon: 53)\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
-       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
-       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
-       "Data variables:\n",
-       "    air      (time, lat, lon) float32 dask.array<chunksize=(2920, 25, 25), meta=np.ndarray>\n",
-       "Attributes:\n",
-       "    Conventions:  COARDS\n",
-       "    title:        4x daily NMC reanalysis (1948)\n",
-       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
-       "    platform:     Model\n",
-       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly..."
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ds = xr.tutorial.open_dataset(\n",
     "    \"air_temperature\",\n",
@@ -1358,10 +230,6 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": true,
-    "jupyter": {
-     "outputs_hidden": true
-    },
     "tags": []
    },
    "outputs": [],
@@ -1382,10 +250,6 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": true,
-    "jupyter": {
-     "outputs_hidden": true
-    },
     "tags": []
    },
    "outputs": [],
@@ -1578,381 +442,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/ynorden/miniconda3/envs/xarray-tutorial/lib/python3.11/site-packages/distributed/node.py:182: UserWarning: Port 8787 is already in use.\n",
-      "Perhaps you already have a cluster running?\n",
-      "Hosting the HTTP server on port 53590 instead\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
-       "    <div style=\"margin-left: 48px;\">\n",
-       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
-       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-efedc7ec-06fe-11ee-8584-dab00aab5b16</p>\n",
-       "        <table style=\"width: 100%; text-align: left;\">\n",
-       "\n",
-       "        <tr>\n",
-       "        \n",
-       "            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
-       "            <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
-       "        \n",
-       "        </tr>\n",
-       "\n",
-       "        \n",
-       "            <tr>\n",
-       "                <td style=\"text-align: left;\">\n",
-       "                    <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53590/status\" target=\"_blank\">http://127.0.0.1:53590/status</a>\n",
-       "                </td>\n",
-       "                <td style=\"text-align: left;\"></td>\n",
-       "            </tr>\n",
-       "        \n",
-       "\n",
-       "        </table>\n",
-       "\n",
-       "        \n",
-       "            <button style=\"margin-bottom: 12px;\" data-commandlinker-command=\"dask:populate-and-launch-layout\" data-commandlinker-args='{\"url\": \"http://127.0.0.1:53590/status\" }'>\n",
-       "                Launch dashboard in JupyterLab\n",
-       "            </button>\n",
-       "        \n",
-       "\n",
-       "        \n",
-       "            <details>\n",
-       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
-       "            <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
-       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
-       "    </div>\n",
-       "    <div style=\"margin-left: 48px;\">\n",
-       "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
-       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">48c8d8eb</p>\n",
-       "        <table style=\"width: 100%; text-align: left;\">\n",
-       "            <tr>\n",
-       "                <td style=\"text-align: left;\">\n",
-       "                    <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:53590/status\" target=\"_blank\">http://127.0.0.1:53590/status</a>\n",
-       "                </td>\n",
-       "                <td style=\"text-align: left;\">\n",
-       "                    <strong>Workers:</strong> 5\n",
-       "                </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <td style=\"text-align: left;\">\n",
-       "                    <strong>Total threads:</strong> 10\n",
-       "                </td>\n",
-       "                <td style=\"text-align: left;\">\n",
-       "                    <strong>Total memory:</strong> 32.00 GiB\n",
-       "                </td>\n",
-       "            </tr>\n",
-       "            \n",
-       "            <tr>\n",
-       "    <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
-       "    <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
-       "</tr>\n",
-       "\n",
-       "            \n",
-       "        </table>\n",
-       "\n",
-       "        <details>\n",
-       "            <summary style=\"margin-bottom: 20px;\">\n",
-       "                <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
-       "            </summary>\n",
-       "\n",
-       "            <div style=\"\">\n",
-       "    <div>\n",
-       "        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
-       "        <div style=\"margin-left: 48px;\">\n",
-       "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
-       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-0e793517-bac2-4172-8d3c-0b90c92c8812</p>\n",
-       "            <table style=\"width: 100%; text-align: left;\">\n",
-       "                <tr>\n",
-       "                    <td style=\"text-align: left;\">\n",
-       "                        <strong>Comm:</strong> tcp://127.0.0.1:53591\n",
-       "                    </td>\n",
-       "                    <td style=\"text-align: left;\">\n",
-       "                        <strong>Workers:</strong> 5\n",
-       "                    </td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <td style=\"text-align: left;\">\n",
-       "                        <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:53590/status\" target=\"_blank\">http://127.0.0.1:53590/status</a>\n",
-       "                    </td>\n",
-       "                    <td style=\"text-align: left;\">\n",
-       "                        <strong>Total threads:</strong> 10\n",
-       "                    </td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <td style=\"text-align: left;\">\n",
-       "                        <strong>Started:</strong> Just now\n",
-       "                    </td>\n",
-       "                    <td style=\"text-align: left;\">\n",
-       "                        <strong>Total memory:</strong> 32.00 GiB\n",
-       "                    </td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "\n",
-       "    <details style=\"margin-left: 48px;\">\n",
-       "        <summary style=\"margin-bottom: 20px;\">\n",
-       "            <h3 style=\"display: inline;\">Workers</h3>\n",
-       "        </summary>\n",
-       "\n",
-       "        \n",
-       "        <div style=\"margin-bottom: 20px;\">\n",
-       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
-       "            <div style=\"margin-left: 48px;\">\n",
-       "            <details>\n",
-       "                <summary>\n",
-       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
-       "                </summary>\n",
-       "                <table style=\"width: 100%; text-align: left;\">\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Comm: </strong> tcp://127.0.0.1:53606\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Total threads: </strong> 2\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53611/status\" target=\"_blank\">http://127.0.0.1:53611/status</a>\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Memory: </strong> 6.40 GiB\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Nanny: </strong> tcp://127.0.0.1:53594\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\"></td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
-       "                            <strong>Local directory: </strong> /var/folders/6s/g3njds_16zl3z7k3y91ztn8w0000gn/T/dask-scratch-space/worker-w22y_7zo\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                </table>\n",
-       "            </details>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        \n",
-       "        <div style=\"margin-bottom: 20px;\">\n",
-       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
-       "            <div style=\"margin-left: 48px;\">\n",
-       "            <details>\n",
-       "                <summary>\n",
-       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
-       "                </summary>\n",
-       "                <table style=\"width: 100%; text-align: left;\">\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Comm: </strong> tcp://127.0.0.1:53608\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Total threads: </strong> 2\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53610/status\" target=\"_blank\">http://127.0.0.1:53610/status</a>\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Memory: </strong> 6.40 GiB\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Nanny: </strong> tcp://127.0.0.1:53595\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\"></td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
-       "                            <strong>Local directory: </strong> /var/folders/6s/g3njds_16zl3z7k3y91ztn8w0000gn/T/dask-scratch-space/worker-k5_m5ngf\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                </table>\n",
-       "            </details>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        \n",
-       "        <div style=\"margin-bottom: 20px;\">\n",
-       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
-       "            <div style=\"margin-left: 48px;\">\n",
-       "            <details>\n",
-       "                <summary>\n",
-       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
-       "                </summary>\n",
-       "                <table style=\"width: 100%; text-align: left;\">\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Comm: </strong> tcp://127.0.0.1:53604\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Total threads: </strong> 2\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53612/status\" target=\"_blank\">http://127.0.0.1:53612/status</a>\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Memory: </strong> 6.40 GiB\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Nanny: </strong> tcp://127.0.0.1:53596\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\"></td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
-       "                            <strong>Local directory: </strong> /var/folders/6s/g3njds_16zl3z7k3y91ztn8w0000gn/T/dask-scratch-space/worker-9jau_juc\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                </table>\n",
-       "            </details>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        \n",
-       "        <div style=\"margin-bottom: 20px;\">\n",
-       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
-       "            <div style=\"margin-left: 48px;\">\n",
-       "            <details>\n",
-       "                <summary>\n",
-       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
-       "                </summary>\n",
-       "                <table style=\"width: 100%; text-align: left;\">\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Comm: </strong> tcp://127.0.0.1:53605\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Total threads: </strong> 2\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53613/status\" target=\"_blank\">http://127.0.0.1:53613/status</a>\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Memory: </strong> 6.40 GiB\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Nanny: </strong> tcp://127.0.0.1:53597\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\"></td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
-       "                            <strong>Local directory: </strong> /var/folders/6s/g3njds_16zl3z7k3y91ztn8w0000gn/T/dask-scratch-space/worker-bz0jzm8l\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                </table>\n",
-       "            </details>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        \n",
-       "        <div style=\"margin-bottom: 20px;\">\n",
-       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
-       "            <div style=\"margin-left: 48px;\">\n",
-       "            <details>\n",
-       "                <summary>\n",
-       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
-       "                </summary>\n",
-       "                <table style=\"width: 100%; text-align: left;\">\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Comm: </strong> tcp://127.0.0.1:53607\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Total threads: </strong> 2\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:53609/status\" target=\"_blank\">http://127.0.0.1:53609/status</a>\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Memory: </strong> 6.40 GiB\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td style=\"text-align: left;\">\n",
-       "                            <strong>Nanny: </strong> tcp://127.0.0.1:53598\n",
-       "                        </td>\n",
-       "                        <td style=\"text-align: left;\"></td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
-       "                            <strong>Local directory: </strong> /var/folders/6s/g3njds_16zl3z7k3y91ztn8w0000gn/T/dask-scratch-space/worker-kmthvhw1\n",
-       "                        </td>\n",
-       "                    </tr>\n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                    \n",
-       "\n",
-       "                </table>\n",
-       "            </details>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        \n",
-       "\n",
-       "    </details>\n",
-       "</div>\n",
-       "\n",
-       "        </details>\n",
-       "    </div>\n",
-       "</div>\n",
-       "            </details>\n",
-       "        \n",
-       "\n",
-       "    </div>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "<Client: 'tcp://127.0.0.1:53591' processes=5 threads=10, memory=32.00 GiB>"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from dask.distributed import Client\n",
     "\n",
@@ -1989,10 +481,6 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": true,
-    "jupyter": {
-     "outputs_hidden": true
-    },
     "tags": []
    },
    "outputs": [],
@@ -2046,10 +534,6 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": true,
-    "jupyter": {
-     "outputs_hidden": true
-    },
     "tags": []
    },
    "outputs": [],

From 3e6b72dd02ccfc89474231fbd8c990b24b0ef23c Mon Sep 17 00:00:00 2001
From: yutik-nngit <worshiptheocean@gmail.com>
Date: Thu, 15 Jun 2023 13:02:00 -0600
Subject: [PATCH 5/6] added a sentence clarifying /tmp

---
 intermediate/xarray_and_dask.ipynb | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/intermediate/xarray_and_dask.ipynb b/intermediate/xarray_and_dask.ipynb
index 8da38aab..9a367fd5 100644
--- a/intermediate/xarray_and_dask.ipynb
+++ b/intermediate/xarray_and_dask.ipynb
@@ -325,7 +325,7 @@
     "2. `.load()` replaces the dask array in the xarray object with a numpy array.\n",
     "   This is equivalent to `ds = ds.compute()`\n",
     "   \n",
-    "**Tip:** There is a third option : \"persisting\". `.persist()` loads the values into distributed RAM. The values are computed but remain distributed across workers. So `ds.air.persist()` still returns a dask array. This is useful if you will be repeatedly using a dataset for computation but it is too large to load into local memory. You will see a persistent task on the dashboard. See the [dask user guide](https://docs.dask.org/en/latest/api.html#dask.persist) for more on persisting\n"
+    "**Tip:** There is a third option : \"persisting\". `.persist()` loads the values into distributed RAM. The values are computed but remain distributed across workers. So `ds.air.persist()` still returns a dask array. This is useful if you will be repeatedly using a dataset for computation but it is too large to load into local memory. You will see a persistent task on the dashboard. See the [dask user guide](https://docs.dask.org/en/latest/api.html#dask.persist) for more on persisting"
    ]
   },
   {
@@ -437,7 +437,10 @@
     "\n",
     "You can use any kind of Dask cluster. This step is completely independent of\n",
     "xarray. While not strictly necessary, the dashboard provides a nice learning\n",
-    "tool."
+    "tool.\n",
+    "\n",
+    "By default, Dask uses the current working directory for writing temporary files.\n",
+    "We choose to use a temporary scratch folder `local_directory='/tmp'` in the example below instead."
    ]
   },
   {

From e39aa15606a42d187c0e39bc09185bbd0698afa8 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Thu, 15 Jun 2023 19:14:26 +0000
Subject: [PATCH 6/6] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 intermediate/xarray_and_dask.ipynb | 8 +-------
 1 file changed, 1 insertion(+), 7 deletions(-)

diff --git a/intermediate/xarray_and_dask.ipynb b/intermediate/xarray_and_dask.ipynb
index 9a367fd5..52b7decf 100644
--- a/intermediate/xarray_and_dask.ipynb
+++ b/intermediate/xarray_and_dask.ipynb
@@ -627,11 +627,6 @@
   }
  ],
  "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
@@ -641,8 +636,7 @@
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "pygments_lexer": "ipython3"
   }
  },
  "nbformat": 4,