diff --git a/examples/adcp_example.ipynb b/examples/adcp_example.ipynb
index d476e0d2..247d31aa 100644
--- a/examples/adcp_example.ipynb
+++ b/examples/adcp_example.ipynb
@@ -82,7 +82,6 @@
           "name": "stdout",
           "output_type": "stream",
           "text": [
-            "Indexing data/dolfyn/Sig1000_tidal.ad2cp... Done.\n",
             "Reading file data/dolfyn/Sig1000_tidal.ad2cp ...\n"
           ]
         }
@@ -122,39 +121,86 @@
               "</symbol>\n",
               "</defs>\n",
               "</svg>\n",
-              "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
-              " *\n",
-              " */\n",
+              "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\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",
+              "  --xr-font-color0: var(\n",
+              "    --jp-content-font-color0,\n",
+              "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+              "  );\n",
+              "  --xr-font-color2: var(\n",
+              "    --jp-content-font-color2,\n",
+              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+              "  );\n",
+              "  --xr-font-color3: var(\n",
+              "    --jp-content-font-color3,\n",
+              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+              "  );\n",
+              "  --xr-border-color: var(\n",
+              "    --jp-border-color2,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+              "  );\n",
+              "  --xr-disabled-color: var(\n",
+              "    --jp-layout-color3,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+              "  );\n",
+              "  --xr-background-color: var(\n",
+              "    --jp-layout-color0,\n",
+              "    var(--pst-color-on-background, white)\n",
+              "  );\n",
+              "  --xr-background-color-row-even: var(\n",
+              "    --jp-layout-color1,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+              "  );\n",
+              "  --xr-background-color-row-odd: var(\n",
+              "    --jp-layout-color2,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+              "  );\n",
               "}\n",
               "\n",
               "html[theme=\"dark\"],\n",
               "html[data-theme=\"dark\"],\n",
               "body[data-theme=\"dark\"],\n",
               "body.vscode-dark {\n",
-              "  --xr-font-color0: 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",
+              "  --xr-font-color0: var(\n",
+              "    --jp-content-font-color0,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+              "  );\n",
+              "  --xr-font-color2: var(\n",
+              "    --jp-content-font-color2,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+              "  );\n",
+              "  --xr-font-color3: var(\n",
+              "    --jp-content-font-color3,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+              "  );\n",
+              "  --xr-border-color: var(\n",
+              "    --jp-border-color2,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+              "  );\n",
+              "  --xr-disabled-color: var(\n",
+              "    --jp-layout-color3,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+              "  );\n",
+              "  --xr-background-color: var(\n",
+              "    --jp-layout-color0,\n",
+              "    var(--pst-color-on-background, #111111)\n",
+              "  );\n",
+              "  --xr-background-color-row-even: var(\n",
+              "    --jp-layout-color1,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+              "  );\n",
+              "  --xr-background-color-row-odd: var(\n",
+              "    --jp-layout-color2,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+              "  );\n",
               "}\n",
               "\n",
               ".xr-wrap {\n",
               "  display: block !important;\n",
               "  min-width: 300px;\n",
               "  max-width: 700px;\n",
+              "  line-height: 1.6;\n",
               "}\n",
               "\n",
               ".xr-text-repr-fallback {\n",
@@ -177,11 +223,18 @@
               "}\n",
               "\n",
               ".xr-obj-type,\n",
-              ".xr-array-name {\n",
+              ".xr-obj-name,\n",
+              ".xr-group-name {\n",
               "  margin-left: 2px;\n",
               "  margin-right: 10px;\n",
               "}\n",
               "\n",
+              ".xr-group-name::before {\n",
+              "  content: \"📁\";\n",
+              "  padding-right: 0.3em;\n",
+              "}\n",
+              "\n",
+              ".xr-group-name,\n",
               ".xr-obj-type {\n",
               "  color: var(--xr-font-color2);\n",
               "}\n",
@@ -190,6 +243,8 @@
               "  padding-left: 0 !important;\n",
               "  display: grid;\n",
               "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+              "  margin-block-start: 0;\n",
+              "  margin-block-end: 0;\n",
               "}\n",
               "\n",
               ".xr-section-item {\n",
@@ -200,10 +255,12 @@
               "  display: inline-block;\n",
               "  opacity: 0;\n",
               "  height: 0;\n",
+              "  margin: 0;\n",
               "}\n",
               "\n",
               ".xr-section-item input + label {\n",
               "  color: var(--xr-disabled-color);\n",
+              "  border: 2px solid transparent !important;\n",
               "}\n",
               "\n",
               ".xr-section-item input:enabled + label {\n",
@@ -212,7 +269,7 @@
               "}\n",
               "\n",
               ".xr-section-item input:focus + label {\n",
-              "  border: 2px solid var(--xr-font-color0);\n",
+              "  border: 2px solid var(--xr-font-color0) !important;\n",
               "}\n",
               "\n",
               ".xr-section-item input:enabled + label:hover {\n",
@@ -257,7 +314,6 @@
               ".xr-section-summary,\n",
               ".xr-section-inline-details {\n",
               "  padding-top: 4px;\n",
-              "  padding-bottom: 4px;\n",
               "}\n",
               "\n",
               ".xr-section-inline-details {\n",
@@ -267,6 +323,7 @@
               ".xr-section-details {\n",
               "  display: none;\n",
               "  grid-column: 1 / -1;\n",
+              "  margin-top: 4px;\n",
               "  margin-bottom: 5px;\n",
               "}\n",
               "\n",
@@ -274,6 +331,32 @@
               "  display: contents;\n",
               "}\n",
               "\n",
+              ".xr-group-box {\n",
+              "  display: inline-grid;\n",
+              "  grid-template-columns: 0px 20px auto;\n",
+              "  width: 100%;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-vline {\n",
+              "  grid-column-start: 1;\n",
+              "  border-right: 0.2em solid;\n",
+              "  border-color: var(--xr-border-color);\n",
+              "  width: 0px;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-hline {\n",
+              "  grid-column-start: 2;\n",
+              "  grid-row-start: 1;\n",
+              "  height: 1em;\n",
+              "  width: 20px;\n",
+              "  border-bottom: 0.2em solid;\n",
+              "  border-color: var(--xr-border-color);\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-contents {\n",
+              "  grid-column-start: 3;\n",
+              "}\n",
+              "\n",
               ".xr-array-wrap {\n",
               "  grid-column: 1 / -1;\n",
               "  display: grid;\n",
@@ -344,7 +427,9 @@
               ".xr-var-item label,\n",
               ".xr-var-item > .xr-var-name span {\n",
               "  background-color: var(--xr-background-color-row-even);\n",
+              "  border-color: var(--xr-background-color-row-odd);\n",
               "  margin-bottom: 0;\n",
+              "  padding-top: 2px;\n",
               "}\n",
               "\n",
               ".xr-var-item > .xr-var-name:hover span {\n",
@@ -355,6 +440,7 @@
               ".xr-var-list > li:nth-child(odd) > label,\n",
               ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
               "  background-color: var(--xr-background-color-row-odd);\n",
+              "  border-color: var(--xr-background-color-row-even);\n",
               "}\n",
               "\n",
               ".xr-var-name {\n",
@@ -404,8 +490,15 @@
               ".xr-var-data,\n",
               ".xr-index-data {\n",
               "  display: none;\n",
-              "  background-color: var(--xr-background-color) !important;\n",
-              "  padding-bottom: 5px !important;\n",
+              "  border-top: 2px dotted var(--xr-background-color);\n",
+              "  padding-bottom: 20px !important;\n",
+              "  padding-top: 10px !important;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs-in + label,\n",
+              ".xr-var-data-in + label,\n",
+              ".xr-index-data-in + label {\n",
+              "  padding: 0 1px;\n",
               "}\n",
               "\n",
               ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
@@ -418,6 +511,12 @@
               "  float: right;\n",
               "}\n",
               "\n",
+              ".xr-var-data > pre,\n",
+              ".xr-index-data > pre,\n",
+              ".xr-var-data > table > tbody > tr {\n",
+              "  background-color: transparent !important;\n",
+              "}\n",
+              "\n",
               ".xr-var-name span,\n",
               ".xr-var-data,\n",
               ".xr-index-name div,\n",
@@ -477,6 +576,14 @@
               "  stroke: currentColor;\n",
               "  fill: currentColor;\n",
               "}\n",
+              "\n",
+              ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+              ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+              ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+              "  color: var(--xr-font-color0);\n",
+              "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+              "  stroke-width: 0.8px;\n",
+              "}\n",
               "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 83MB\n",
               "Dimensions:              (time: 55000, time_b5: 55000, range: 28, range_b5: 28,\n",
               "                          beam: 4, dir: 4, dirIMU: 3, earth: 3, inst: 3, q: 4,\n",
@@ -521,33 +628,33 @@
               "    coord_sys:             earth\n",
               "    fs:                    1\n",
               "    has_imu:               1\n",
-              "    beam_angle:            25</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-2bb93856-6493-4446-9b87-27cea014a081' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2bb93856-6493-4446-9b87-27cea014a081' 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'>time</span>: 55000</li><li><span class='xr-has-index'>time_b5</span>: 55000</li><li><span class='xr-has-index'>range</span>: 28</li><li><span class='xr-has-index'>range_b5</span>: 28</li><li><span class='xr-has-index'>beam</span>: 4</li><li><span class='xr-has-index'>dir</span>: 4</li><li><span class='xr-has-index'>dirIMU</span>: 3</li><li><span class='xr-has-index'>earth</span>: 3</li><li><span class='xr-has-index'>inst</span>: 3</li><li><span class='xr-has-index'>q</span>: 4</li><li><span class='xr-has-index'>x1</span>: 4</li><li><span class='xr-has-index'>x2</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-44ab80c1-468d-4c4c-bfd8-da385ad2911b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-44ab80c1-468d-4c4c-bfd8-da385ad2911b' class='xr-section-summary' >Coordinates: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:20:00.500999927 .....</div><input id='attrs-b1f3c94e-ecd6-47a7-9b10-f64197ef1000' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1f3c94e-ecd6-47a7-9b10-f64197ef1000' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0639fea1-589f-4696-98e4-db209d804809' class='xr-var-data-in' type='checkbox'><label for='data-0639fea1-589f-4696-98e4-db209d804809' 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>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:20:00.500999927&#x27;, &#x27;2020-08-15T00:20:01.501100063&#x27;,\n",
+              "    beam_angle:            25</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-628681b1-427e-48dd-9645-80e9a91d28a9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-628681b1-427e-48dd-9645-80e9a91d28a9' 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'>time</span>: 55000</li><li><span class='xr-has-index'>time_b5</span>: 55000</li><li><span class='xr-has-index'>range</span>: 28</li><li><span class='xr-has-index'>range_b5</span>: 28</li><li><span class='xr-has-index'>beam</span>: 4</li><li><span class='xr-has-index'>dir</span>: 4</li><li><span class='xr-has-index'>dirIMU</span>: 3</li><li><span class='xr-has-index'>earth</span>: 3</li><li><span class='xr-has-index'>inst</span>: 3</li><li><span class='xr-has-index'>q</span>: 4</li><li><span class='xr-has-index'>x1</span>: 4</li><li><span class='xr-has-index'>x2</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b0e49cc4-ef41-4a13-86af-777d373e73b1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b0e49cc4-ef41-4a13-86af-777d373e73b1' class='xr-section-summary' >Coordinates: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:20:00.500999927 .....</div><input id='attrs-dcdce2ae-18f0-45fc-ba2d-bc2eff817899' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcdce2ae-18f0-45fc-ba2d-bc2eff817899' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de8c1afc-f6c6-437e-b29c-2f69165d3db3' class='xr-var-data-in' type='checkbox'><label for='data-de8c1afc-f6c6-437e-b29c-2f69165d3db3' 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>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:20:00.500999927&#x27;, &#x27;2020-08-15T00:20:01.501100063&#x27;,\n",
               "       &#x27;2020-08-15T00:20:02.500999927&#x27;, ..., &#x27;2020-08-15T15:36:37.500999927&#x27;,\n",
               "       &#x27;2020-08-15T15:36:38.500999927&#x27;, &#x27;2020-08-15T15:36:39.500999927&#x27;],\n",
-              "      shape=(55000,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:20:00.438499927 .....</div><input id='attrs-df1333fa-8090-4b73-90a1-370ef194f0d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df1333fa-8090-4b73-90a1-370ef194f0d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bc8ccde-7a5f-478c-a30e-602041272b6a' class='xr-var-data-in' type='checkbox'><label for='data-5bc8ccde-7a5f-478c-a30e-602041272b6a' 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>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd><dt><span>long_name :</span></dt><dd>Time b5</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:20:00.438499927&#x27;, &#x27;2020-08-15T00:20:01.438499927&#x27;,\n",
+              "      shape=(55000,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:20:00.438499927 .....</div><input id='attrs-39ffa92f-e0af-4a41-8f11-2f5d834980a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39ffa92f-e0af-4a41-8f11-2f5d834980a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3529d03b-699a-4894-8e32-6e2f7e72c08c' class='xr-var-data-in' type='checkbox'><label for='data-3529d03b-699a-4894-8e32-6e2f7e72c08c' 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>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd><dt><span>long_name :</span></dt><dd>Time b5</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:20:00.438499927&#x27;, &#x27;2020-08-15T00:20:01.438499927&#x27;,\n",
               "       &#x27;2020-08-15T00:20:02.438499927&#x27;, ..., &#x27;2020-08-15T15:36:37.438499927&#x27;,\n",
               "       &#x27;2020-08-15T15:36:38.438499927&#x27;, &#x27;2020-08-15T15:36:39.438499927&#x27;],\n",
-              "      shape=(55000,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6 1.1 1.6 2.1 ... 13.1 13.6 14.1</div><input id='attrs-f266a94c-6400-4611-b6cc-540c71e6f4f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f266a94c-6400-4611-b6cc-540c71e6f4f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3d7efda-a3b4-4fdf-a0ac-47fa75f7d90b' class='xr-var-data-in' type='checkbox'><label for='data-f3d7efda-a3b4-4fdf-a0ac-47fa75f7d90b' 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>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div><div class='xr-var-data'><pre>array([ 0.6,  1.1,  1.6,  2.1,  2.6,  3.1,  3.6,  4.1,  4.6,  5.1,  5.6,  6.1,\n",
+              "      shape=(55000,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6 1.1 1.6 2.1 ... 13.1 13.6 14.1</div><input id='attrs-d83b5616-aa6a-4590-bd7c-953bb4825411' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d83b5616-aa6a-4590-bd7c-953bb4825411' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de415cf7-1aa6-48e8-9079-2ad41f959492' class='xr-var-data-in' type='checkbox'><label for='data-de415cf7-1aa6-48e8-9079-2ad41f959492' 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>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div><div class='xr-var-data'><pre>array([ 0.6,  1.1,  1.6,  2.1,  2.6,  3.1,  3.6,  4.1,  4.6,  5.1,  5.6,  6.1,\n",
               "        6.6,  7.1,  7.6,  8.1,  8.6,  9.1,  9.6, 10.1, 10.6, 11.1, 11.6, 12.1,\n",
-              "       12.6, 13.1, 13.6, 14.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_b5</span></div><div class='xr-var-dims'>(range_b5)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6 1.1 1.6 2.1 ... 13.1 13.6 14.1</div><input id='attrs-390d0180-57eb-4119-b0c0-5b41d0402e28' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-390d0180-57eb-4119-b0c0-5b41d0402e28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f61bff6-c013-498b-970d-d4673831eee5' class='xr-var-data-in' type='checkbox'><label for='data-5f61bff6-c013-498b-970d-d4673831eee5' 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>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range b5</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div><div class='xr-var-data'><pre>array([ 0.6,  1.1,  1.6,  2.1,  2.6,  3.1,  3.6,  4.1,  4.6,  5.1,  5.6,  6.1,\n",
+              "       12.6, 13.1, 13.6, 14.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_b5</span></div><div class='xr-var-dims'>(range_b5)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6 1.1 1.6 2.1 ... 13.1 13.6 14.1</div><input id='attrs-ec09ff46-3334-448a-99d7-c94f677502d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec09ff46-3334-448a-99d7-c94f677502d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c57b3deb-1069-4359-a2e0-7a2442a0d96a' class='xr-var-data-in' type='checkbox'><label for='data-c57b3deb-1069-4359-a2e0-7a2442a0d96a' 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>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range b5</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div><div class='xr-var-data'><pre>array([ 0.6,  1.1,  1.6,  2.1,  2.6,  3.1,  3.6,  4.1,  4.6,  5.1,  5.6,  6.1,\n",
               "        6.6,  7.1,  7.6,  8.1,  8.6,  9.1,  9.6, 10.1, 10.6, 11.1, 11.6, 12.1,\n",
-              "       12.6, 13.1, 13.6, 14.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam</span></div><div class='xr-var-dims'>(beam)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-7f44c1f4-69b3-4068-9911-0419633c6f89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f44c1f4-69b3-4068-9911-0419633c6f89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f6dd975-0fde-4e31-9eb0-bf06af4dc611' class='xr-var-data-in' type='checkbox'><label for='data-8f6dd975-0fde-4e31-9eb0-bf06af4dc611' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Beam Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dir</span></div><div class='xr-var-dims'>(dir)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U1&#x27; &#x27;U2&#x27;</div><input id='attrs-94007066-9746-4038-8627-4e4cbdeebe51' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94007066-9746-4038-8627-4e4cbdeebe51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a776caf-27ad-490d-9198-a303fe3db364' class='xr-var-data-in' type='checkbox'><label for='data-6a776caf-27ad-490d-9198-a303fe3db364' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ref_frame :</span></dt><dd>earth</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U1&#x27;, &#x27;U2&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dirIMU</span></div><div class='xr-var-dims'>(dirIMU)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-e523f6b1-bdc3-4fbe-87ee-36a3c64207a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e523f6b1-bdc3-4fbe-87ee-36a3c64207a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d72a7f1b-9e73-4cda-884f-9df8be1c801b' class='xr-var-data-in' type='checkbox'><label for='data-d72a7f1b-9e73-4cda-884f-9df8be1c801b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ref_frame :</span></dt><dd>earth</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>earth</span></div><div class='xr-var-dims'>(earth)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-40c67b12-a0b6-47ed-afdc-dbec63068d92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40c67b12-a0b6-47ed-afdc-dbec63068d92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-007855ee-909e-4285-9c39-c36252088294' class='xr-var-data-in' type='checkbox'><label for='data-007855ee-909e-4285-9c39-c36252088294' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Earth Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>inst</span></div><div class='xr-var-dims'>(inst)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;</div><input id='attrs-a13fb84b-25d1-48ff-838d-4c490f163ac5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a13fb84b-25d1-48ff-838d-4c490f163ac5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8e30837-ea9d-4cdf-86a0-be81d160c31b' class='xr-var-data-in' type='checkbox'><label for='data-b8e30837-ea9d-4cdf-86a0-be81d160c31b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Instrument Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>q</span></div><div class='xr-var-dims'>(q)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;w&#x27; &#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;</div><input id='attrs-b065e21f-114d-46c5-b868-fe13351035e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b065e21f-114d-46c5-b868-fe13351035e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33f36f6d-3af7-4fc4-b563-86f1121a7203' class='xr-var-data-in' type='checkbox'><label for='data-33f36f6d-3af7-4fc4-b563-86f1121a7203' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Quaternion Vector Components</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;w&#x27;, &#x27;x&#x27;, &#x27;y&#x27;, &#x27;z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x1</span></div><div class='xr-var-dims'>(x1)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-977e242d-bfc2-4800-9149-e7762c892688' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-977e242d-bfc2-4800-9149-e7762c892688' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a82d0ad-2e37-4d7c-adfe-d3b0cba5aa75' class='xr-var-data-in' type='checkbox'><label for='data-8a82d0ad-2e37-4d7c-adfe-d3b0cba5aa75' 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>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x2</span></div><div class='xr-var-dims'>(x2)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-c996444d-d6fd-4594-9a5f-9717e2605adb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c996444d-d6fd-4594-9a5f-9717e2605adb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ae7b00f-61dc-4a25-aaea-da2285f28319' class='xr-var-data-in' type='checkbox'><label for='data-5ae7b00f-61dc-4a25-aaea-da2285f28319' 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>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aba501e5-2078-4cac-811c-1a57021b8eed' class='xr-section-summary-in' type='checkbox'  ><label for='section-aba501e5-2078-4cac-811c-1a57021b8eed' class='xr-section-summary' >Data variables: <span>(38)</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>c_sound</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.502e+03 1.502e+03 ... 1.498e+03</div><input id='attrs-cd161dc4-2187-41ac-9b00-be6b10bc8bbf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd161dc4-2187-41ac-9b00-be6b10bc8bbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f2afe60-12d6-49fd-b1dd-14df2c4dab76' class='xr-var-data-in' type='checkbox'><label for='data-0f2afe60-12d6-49fd-b1dd-14df2c4dab76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Speed of Sound</dd><dt><span>standard_name :</span></dt><dd>speed_of_sound_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([1501.9, 1501.9, 1501.9, ..., 1498.4, 1498.3, 1498.3],\n",
-              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>14.55 14.55 14.55 ... 13.47 13.47</div><input id='attrs-c884fa59-ec0b-4529-8400-537d38bd77c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c884fa59-ec0b-4529-8400-537d38bd77c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd474941-9a8d-4e30-b7d3-7f958b6dc3a2' class='xr-var-data-in' type='checkbox'><label for='data-dd474941-9a8d-4e30-b7d3-7f958b6dc3a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd></dl></div><div class='xr-var-data'><pre>array([14.55, 14.55, 14.55, ..., 13.47, 13.47, 13.47],\n",
-              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.713 9.718 9.718 ... 9.594 9.596</div><input id='attrs-227176fc-19c4-40d5-8f74-df756d306f3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-227176fc-19c4-40d5-8f74-df756d306f3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3398794a-de4e-4e9b-bd3d-dee74335344a' class='xr-var-data-in' type='checkbox'><label for='data-3398794a-de4e-4e9b-bd3d-dee74335344a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>long_name :</span></dt><dd>Pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd></dl></div><div class='xr-var-data'><pre>array([9.713, 9.718, 9.718, ..., 9.596, 9.594, 9.596],\n",
-              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>72.5 72.7 72.6 ... -197.2 -195.7</div><input id='attrs-c135a21c-5db2-487b-ad1f-1faff443d5db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c135a21c-5db2-487b-ad1f-1faff443d5db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c21e291-655d-4ff6-be10-951b9c9bc7a9' class='xr-var-data-in' type='checkbox'><label for='data-7c21e291-655d-4ff6-be10-951b9c9bc7a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>uT</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[  72.5,   72.7,   72.6, ...,   72.3,   72.8,   72.4],\n",
+              "       12.6, 13.1, 13.6, 14.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam</span></div><div class='xr-var-dims'>(beam)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-44b5c393-2341-4533-80d6-fea3285aef97' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44b5c393-2341-4533-80d6-fea3285aef97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-935c418a-ff95-4c10-8f99-5bdcd6337594' class='xr-var-data-in' type='checkbox'><label for='data-935c418a-ff95-4c10-8f99-5bdcd6337594' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Beam Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dir</span></div><div class='xr-var-dims'>(dir)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U1&#x27; &#x27;U2&#x27;</div><input id='attrs-c43beb00-2353-43c6-8b63-6b00aa3bee33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c43beb00-2353-43c6-8b63-6b00aa3bee33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cabe401b-0f2b-4eef-87bc-1fe0c977972a' class='xr-var-data-in' type='checkbox'><label for='data-cabe401b-0f2b-4eef-87bc-1fe0c977972a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ref_frame :</span></dt><dd>earth</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U1&#x27;, &#x27;U2&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dirIMU</span></div><div class='xr-var-dims'>(dirIMU)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-9471a03e-f837-4055-b1e8-0c5014e1fd83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9471a03e-f837-4055-b1e8-0c5014e1fd83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1168ad5a-4c6b-471e-8fae-7b3e76e7bc5e' class='xr-var-data-in' type='checkbox'><label for='data-1168ad5a-4c6b-471e-8fae-7b3e76e7bc5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ref_frame :</span></dt><dd>earth</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>earth</span></div><div class='xr-var-dims'>(earth)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-2bb8d38b-9e65-4bf2-bb57-998a57a3eaa9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bb8d38b-9e65-4bf2-bb57-998a57a3eaa9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f6f3a8a-ece4-4822-b815-6516a8b28e65' class='xr-var-data-in' type='checkbox'><label for='data-0f6f3a8a-ece4-4822-b815-6516a8b28e65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Earth Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>inst</span></div><div class='xr-var-dims'>(inst)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;</div><input id='attrs-e741e7c5-70b7-41e4-828e-88624e579e2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e741e7c5-70b7-41e4-828e-88624e579e2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdb34877-6a36-4e7a-b029-9105f8061e79' class='xr-var-data-in' type='checkbox'><label for='data-cdb34877-6a36-4e7a-b029-9105f8061e79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Instrument Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>q</span></div><div class='xr-var-dims'>(q)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;w&#x27; &#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;</div><input id='attrs-df24b72b-4bee-411b-9fc4-85a86b16d788' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df24b72b-4bee-411b-9fc4-85a86b16d788' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca77518b-e7b0-4ed2-8d3c-2ef60bd48b48' class='xr-var-data-in' type='checkbox'><label for='data-ca77518b-e7b0-4ed2-8d3c-2ef60bd48b48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Quaternion Vector Components</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;w&#x27;, &#x27;x&#x27;, &#x27;y&#x27;, &#x27;z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x1</span></div><div class='xr-var-dims'>(x1)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-30697d19-657e-423a-a3ad-7447f65cbd69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30697d19-657e-423a-a3ad-7447f65cbd69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-104d5ffb-13f7-4851-b9dc-7a7e421858d2' class='xr-var-data-in' type='checkbox'><label for='data-104d5ffb-13f7-4851-b9dc-7a7e421858d2' 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>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x2</span></div><div class='xr-var-dims'>(x2)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-16c46573-2bd0-47c8-bd2b-d22484bced8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16c46573-2bd0-47c8-bd2b-d22484bced8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef06ceb9-752e-4fb8-85c5-0e550ab3a7a1' class='xr-var-data-in' type='checkbox'><label for='data-ef06ceb9-752e-4fb8-85c5-0e550ab3a7a1' 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>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d89e080c-b4e2-44ae-b9f8-abc7b008414f' class='xr-section-summary-in' type='checkbox'  ><label for='section-d89e080c-b4e2-44ae-b9f8-abc7b008414f' class='xr-section-summary' >Data variables: <span>(38)</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>c_sound</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.502e+03 1.502e+03 ... 1.498e+03</div><input id='attrs-e2e4f3fa-7e0f-4ca3-9ec2-02ba7fcc124d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2e4f3fa-7e0f-4ca3-9ec2-02ba7fcc124d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91bac8b1-c62c-4b52-b660-3b76ddda3cb0' class='xr-var-data-in' type='checkbox'><label for='data-91bac8b1-c62c-4b52-b660-3b76ddda3cb0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Speed of Sound</dd><dt><span>standard_name :</span></dt><dd>speed_of_sound_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([1501.9, 1501.9, 1501.9, ..., 1498.4, 1498.3, 1498.3],\n",
+              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>14.55 14.55 14.55 ... 13.47 13.47</div><input id='attrs-8e2d135a-9b95-42cf-8284-189a36fa35c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e2d135a-9b95-42cf-8284-189a36fa35c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1382213e-9d97-4259-8d1d-c768038f64ef' class='xr-var-data-in' type='checkbox'><label for='data-1382213e-9d97-4259-8d1d-c768038f64ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd></dl></div><div class='xr-var-data'><pre>array([14.55, 14.55, 14.55, ..., 13.47, 13.47, 13.47],\n",
+              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.713 9.718 9.718 ... 9.594 9.596</div><input id='attrs-e2fd879d-d08d-4024-b42e-d79bc130b2d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2fd879d-d08d-4024-b42e-d79bc130b2d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebf5200d-231b-47b7-8b55-d09a765122cc' class='xr-var-data-in' type='checkbox'><label for='data-ebf5200d-231b-47b7-8b55-d09a765122cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>long_name :</span></dt><dd>Pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd></dl></div><div class='xr-var-data'><pre>array([9.713, 9.718, 9.718, ..., 9.596, 9.594, 9.596],\n",
+              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>72.5 72.7 72.6 ... -197.2 -195.7</div><input id='attrs-e6745258-d283-4d8e-afc8-dc63063af1ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6745258-d283-4d8e-afc8-dc63063af1ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8774c90a-ab85-449a-b468-de8040ec0c59' class='xr-var-data-in' type='checkbox'><label for='data-8774c90a-ab85-449a-b468-de8040ec0c59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>uT</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[  72.5,   72.7,   72.6, ...,   72.3,   72.8,   72.4],\n",
               "       [   9.3,    9.4,    8.9, ...,    5.9,    6.3,    6.4],\n",
               "       [-198. , -196.3, -198.1, ..., -197.4, -197.2, -195.7]],\n",
-              "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.00479 -0.01437 ... 9.685 9.729</div><input id='attrs-b957bb42-48dc-425f-b414-290a166595ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b957bb42-48dc-425f-b414-290a166595ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cf8d694-3813-4297-bae1-ed46db2b4ea8' class='xr-var-data-in' type='checkbox'><label for='data-5cf8d694-3813-4297-bae1-ed46db2b4ea8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-4.7900393e-03, -1.4370117e-02, -2.3950195e-02, ...,\n",
+              "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.00479 -0.01437 ... 9.685 9.729</div><input id='attrs-8f80601b-55d9-4c19-8361-87aeb2162c79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f80601b-55d9-4c19-8361-87aeb2162c79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e952707c-e68d-4682-99f5-dd3bdca4c545' class='xr-var-data-in' type='checkbox'><label for='data-e952707c-e68d-4682-99f5-dd3bdca4c545' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-4.7900393e-03, -1.4370117e-02, -2.3950195e-02, ...,\n",
               "        -1.4370117e-02, -4.7900393e-03, -2.3950195e-02],\n",
               "       [-1.2933105e+00, -1.2549902e+00, -1.2645704e+00, ...,\n",
               "        -1.1017090e+00, -1.0873389e+00, -1.0969189e+00],\n",
               "       [ 9.7285690e+00,  9.7141991e+00,  9.7237797e+00, ...,\n",
               "         9.6710892e+00,  9.6854591e+00,  9.7285690e+00]],\n",
-              "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>batt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>16.6 16.6 16.6 ... 16.4 16.4 15.2</div><input id='attrs-63d7dc22-a222-4368-8d64-edd3a7fb6ce9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63d7dc22-a222-4368-8d64-edd3a7fb6ce9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fcd37e5-2bb0-44a4-87ab-07894fc1d27e' class='xr-var-data-in' type='checkbox'><label for='data-5fcd37e5-2bb0-44a4-87ab-07894fc1d27e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>V</dd><dt><span>long_name :</span></dt><dd>Battery Voltage</dd><dt><span>standard_name :</span></dt><dd>battery_voltage</dd></dl></div><div class='xr-var-data'><pre>array([16.6, 16.6, 16.6, ..., 16.4, 16.4, 15.2],\n",
-              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_clock</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 20.0 20.0 ... 19.5 19.5 19.5</div><input id='attrs-7230bc27-e7dd-4a81-bc58-ec377dfba2f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7230bc27-e7dd-4a81-bc58-ec377dfba2f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-956e2170-d3fa-4b3f-91f8-b755c892f600' class='xr-var-data-in' type='checkbox'><label for='data-956e2170-d3fa-4b3f-91f8-b755c892f600' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Internal Clock Temperature</dd></dl></div><div class='xr-var-data'><pre>array([20. , 20. , 20. , ..., 19.5, 19.5, 19.5],\n",
-              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-2b195a2d-ca32-41c9-bbc7-a257d1a55275' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b195a2d-ca32-41c9-bbc7-a257d1a55275' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43653780-016c-44e0-bb3f-c525c0c403cd' class='xr-var-data-in' type='checkbox'><label for='data-43653780-016c-44e0-bb3f-c525c0c403cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1053556738 ... 1053557762</div><input id='attrs-0309ea33-451b-4d67-9839-d11061c65111' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0309ea33-451b-4d67-9839-d11061c65111' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8613093-89dc-48c6-b2a9-ee53b27f95b1' class='xr-var-data-in' type='checkbox'><label for='data-c8613093-89dc-48c6-b2a9-ee53b27f95b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1053556738, 1053556738, 1053556738, ..., 1053556738, 1053556738,\n",
-              "       1053557762], shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1 2 3 4 ... 54997 54998 54999 55000</div><input id='attrs-608fbc04-d386-4fa1-8e43-de8db4cc6cb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-608fbc04-d386-4fa1-8e43-de8db4cc6cb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d316239-ef9e-4482-83b0-e7264fc944a8' class='xr-var-data-in' type='checkbox'><label for='data-8d316239-ef9e-4482-83b0-e7264fc944a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>#</dd><dt><span>long_name :</span></dt><dd>Ensemble Number</dd><dt><span>standard_name :</span></dt><dd>number_of_observations</dd></dl></div><div class='xr-var-data'><pre>array([    1,     2,     3, ..., 54998, 54999, 55000],\n",
-              "      shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel</span></div><div class='xr-var-dims'>(dir, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.015 -0.048 ... -0.015 -0.012</div><input id='attrs-98644f44-ab34-4c0b-a749-8d40015b89b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98644f44-ab34-4c0b-a749-8d40015b89b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-199e8e9d-f69f-4bff-9f1d-881ed213794c' class='xr-var-data-in' type='checkbox'><label for='data-199e8e9d-f69f-4bff-9f1d-881ed213794c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[-0.015, -0.048,  0.008, ..., -0.176, -0.071, -0.027],\n",
+              "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>batt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>16.6 16.6 16.6 ... 16.4 16.4 15.2</div><input id='attrs-b2bfce45-e753-4c3d-8b5a-fee43480b107' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2bfce45-e753-4c3d-8b5a-fee43480b107' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-748e1ecd-ab03-499e-b41e-7733a9e012e4' class='xr-var-data-in' type='checkbox'><label for='data-748e1ecd-ab03-499e-b41e-7733a9e012e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>V</dd><dt><span>long_name :</span></dt><dd>Battery Voltage</dd><dt><span>standard_name :</span></dt><dd>battery_voltage</dd></dl></div><div class='xr-var-data'><pre>array([16.6, 16.6, 16.6, ..., 16.4, 16.4, 15.2],\n",
+              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_clock</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 20.0 20.0 ... 19.5 19.5 19.5</div><input id='attrs-f1789363-4b64-489d-9dac-a6805622d91a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1789363-4b64-489d-9dac-a6805622d91a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f005979c-1912-4536-8f42-af62f68c4f34' class='xr-var-data-in' type='checkbox'><label for='data-f005979c-1912-4536-8f42-af62f68c4f34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Internal Clock Temperature</dd></dl></div><div class='xr-var-data'><pre>array([20. , 20. , 20. , ..., 19.5, 19.5, 19.5],\n",
+              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-7505f755-d403-4e8e-a4b8-3e9c3ab5b1a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7505f755-d403-4e8e-a4b8-3e9c3ab5b1a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-243b6fca-1933-4431-81c9-6751d2519688' class='xr-var-data-in' type='checkbox'><label for='data-243b6fca-1933-4431-81c9-6751d2519688' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1053556738 ... 1053557762</div><input id='attrs-3baf4356-913d-4859-906e-32f564294d2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3baf4356-913d-4859-906e-32f564294d2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af5cd66f-be6c-4338-aed8-f285a1d032d9' class='xr-var-data-in' type='checkbox'><label for='data-af5cd66f-be6c-4338-aed8-f285a1d032d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1053556738, 1053556738, 1053556738, ..., 1053556738, 1053556738,\n",
+              "       1053557762], shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1 2 3 4 ... 54997 54998 54999 55000</div><input id='attrs-694a5bfc-0b85-46aa-ac24-01828727e538' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-694a5bfc-0b85-46aa-ac24-01828727e538' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd9c5c60-2af2-484a-832c-d90dcb876d2f' class='xr-var-data-in' type='checkbox'><label for='data-bd9c5c60-2af2-484a-832c-d90dcb876d2f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>#</dd><dt><span>long_name :</span></dt><dd>Ensemble Number</dd><dt><span>standard_name :</span></dt><dd>number_of_observations</dd></dl></div><div class='xr-var-data'><pre>array([    1,     2,     3, ..., 54998, 54999, 55000],\n",
+              "      shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel</span></div><div class='xr-var-dims'>(dir, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.015 -0.048 ... -0.015 -0.012</div><input id='attrs-0805439a-d03a-4a9c-b9c0-e88cd9169ce4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0805439a-d03a-4a9c-b9c0-e88cd9169ce4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a923ffed-434a-4d92-bf77-b4d5be4d07b7' class='xr-var-data-in' type='checkbox'><label for='data-a923ffed-434a-4d92-bf77-b4d5be4d07b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[-0.015, -0.048,  0.008, ..., -0.176, -0.071, -0.027],\n",
               "        [-0.093, -0.124, -0.031, ..., -0.175, -0.16 , -0.03 ],\n",
               "        [-0.163, -0.135, -0.105, ..., -0.129, -0.089, -0.116],\n",
               "        ...,\n",
@@ -578,7 +685,7 @@
               "        [-0.044,  0.015, -0.04 , ..., -0.015,  0.006,  0.012],\n",
               "        [-0.013,  0.014, -0.032, ...,  0.01 ,  0.   , -0.015],\n",
               "        [ 0.007,  0.016, -0.027, ..., -0.002, -0.015, -0.012]]],\n",
-              "      shape=(4, 28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>81.0 80.0 80.5 ... 43.5 42.5 42.0</div><input id='attrs-c32c85ac-0276-4d5f-8f1d-cbd90cec0e3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c32c85ac-0276-4d5f-8f1d-cbd90cec0e3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9723746f-29e5-49fd-85c4-09b3642f16b6' class='xr-var-data-in' type='checkbox'><label for='data-9723746f-29e5-49fd-85c4-09b3642f16b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[[81. , 80. , 80.5, ..., 81.5, 81.5, 81.5],\n",
+              "      shape=(4, 28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>81.0 80.0 80.5 ... 43.5 42.5 42.0</div><input id='attrs-fed091a7-b9c6-4510-8824-1eef180f81a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fed091a7-b9c6-4510-8824-1eef180f81a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1045574-381d-47b5-828f-bbeb3017f54f' class='xr-var-data-in' type='checkbox'><label for='data-c1045574-381d-47b5-828f-bbeb3017f54f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[[81. , 80. , 80.5, ..., 81.5, 81.5, 81.5],\n",
               "        [75. , 74.5, 75. , ..., 79. , 77. , 77.5],\n",
               "        [73.5, 72. , 72. , ..., 75. , 74.5, 75. ],\n",
               "        ...,\n",
@@ -609,7 +716,7 @@
               "        [51.5, 51. , 51. , ..., 46. , 46. , 45. ],\n",
               "        [51. , 50. , 51. , ..., 45. , 44. , 43.5],\n",
               "        [50.5, 49.5, 50. , ..., 43.5, 42.5, 42. ]]],\n",
-              "      shape=(4, 28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>100 91 91 97 99 ... 96 98 98 98 96</div><input id='attrs-6cf257b5-82cd-4e7a-a64f-b3c347885ec8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cf257b5-82cd-4e7a-a64f-b3c347885ec8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81ea19f2-bf29-4aa6-a618-9941b95035be' class='xr-var-data-in' type='checkbox'><label for='data-81ea19f2-bf29-4aa6-a618-9941b95035be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>%</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[[100,  91,  91, ...,  89,  90,  96],\n",
+              "      shape=(4, 28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>100 91 91 97 99 ... 96 98 98 98 96</div><input id='attrs-d15b41d7-f50a-4733-9184-3ab215525f3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d15b41d7-f50a-4733-9184-3ab215525f3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80844473-c10c-450f-83bd-e587e0bb5c62' class='xr-var-data-in' type='checkbox'><label for='data-80844473-c10c-450f-83bd-e587e0bb5c62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>%</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[[100,  91,  91, ...,  89,  90,  96],\n",
               "        [ 74,  92,  96, ..., 100,  97, 100],\n",
               "        [100, 100,  99, ...,  99, 100, 100],\n",
               "        ...,\n",
@@ -640,7 +747,7 @@
               "        [100,  99,  96, ...,  98, 100, 100],\n",
               "        [100, 100, 100, ...,  94,  93,  95],\n",
               "        [100,  98,  99, ...,  98,  98,  96]]],\n",
-              "      shape=(4, 28, 55000), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat</span></div><div class='xr-var-dims'>(earth, inst, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2167 -0.2164 ... 0.9937 0.9937</div><input id='attrs-81e10eb9-2350-4e6c-8f48-13d67572014c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81e10eb9-2350-4e6c-8f48-13d67572014c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d233e24a-daa2-474f-ad1a-512b7641dc17' class='xr-var-data-in' type='checkbox'><label for='data-d233e24a-daa2-474f-ad1a-512b7641dc17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[-2.16688156e-01, -2.16397047e-01, -2.16593146e-01, ...,\n",
+              "      shape=(4, 28, 55000), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat</span></div><div class='xr-var-dims'>(earth, inst, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2167 -0.2164 ... 0.9937 0.9937</div><input id='attrs-615673f9-91f7-4974-b8f9-387f9fdee9a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-615673f9-91f7-4974-b8f9-387f9fdee9a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc42169c-263b-46c1-88c0-b075ef4dc566' class='xr-var-data-in' type='checkbox'><label for='data-dc42169c-263b-46c1-88c0-b075ef4dc566' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[-2.16688156e-01, -2.16397047e-01, -2.16593146e-01, ...,\n",
               "         -2.16118217e-01, -2.16699123e-01, -2.16318965e-01],\n",
               "        [ 9.76196468e-01,  9.76219118e-01,  9.76202846e-01, ...,\n",
               "          9.76315439e-01,  9.76210594e-01,  9.76245522e-01],\n",
@@ -660,52 +767,52 @@
               "         -2.31788009e-02, -2.33813375e-02, -2.34001204e-02],\n",
               "        [ 9.91607308e-01,  9.91618454e-01,  9.91612315e-01, ...,\n",
               "          9.93657291e-01,  9.93655324e-01,  9.93659675e-01]]],\n",
-              "      shape=(3, 3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.001953 -0.001953 ... -0.00293</div><input id='attrs-17f5fa72-a0bb-4b54-b694-f4903158ec8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17f5fa72-a0bb-4b54-b694-f4903158ec8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3859ed97-6d64-4f02-b4cf-bfed1a1a9664' class='xr-var-data-in' type='checkbox'><label for='data-3859ed97-6d64-4f02-b4cf-bfed1a1a9664' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[-0.00195312, -0.00195312, -0.00195312, ..., -0.00390625,\n",
+              "      shape=(3, 3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.001953 -0.001953 ... -0.00293</div><input id='attrs-d1e51369-d38b-4ba6-9efc-7a454e061ce5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1e51369-d38b-4ba6-9efc-7a454e061ce5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfc6aa26-56b6-4267-a5bc-cbc96de55792' class='xr-var-data-in' type='checkbox'><label for='data-dfc6aa26-56b6-4267-a5bc-cbc96de55792' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[-0.00195312, -0.00195312, -0.00195312, ..., -0.00390625,\n",
               "        -0.00292969, -0.00195312],\n",
               "       [ 0.00097656,  0.        ,  0.        , ...,  0.        ,\n",
               "         0.00097656,  0.00097656],\n",
               "       [-0.00292969, -0.00292969, -0.00292969, ..., -0.00292969,\n",
-              "        -0.00195312, -0.00292969]], shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions</span></div><div class='xr-var-dims'>(q, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6245 ... 0.7787 0.7786</div><input id='attrs-fd7a2f23-54b3-48d5-bf91-aee8beac0a22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd7a2f23-54b3-48d5-bf91-aee8beac0a22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e6ffbf6-25c3-484d-b5e7-aef6638ab46e' class='xr-var-data-in' type='checkbox'><label for='data-2e6ffbf6-25c3-484d-b5e7-aef6638ab46e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6244507 ,  0.62454224,  0.6244812 , ...,  0.625     ,\n",
+              "        -0.00195312, -0.00292969]], shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions</span></div><div class='xr-var-dims'>(q, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6245 ... 0.7787 0.7786</div><input id='attrs-697d7452-b9d2-4662-90a5-1da0ac103630' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-697d7452-b9d2-4662-90a5-1da0ac103630' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baaab62d-6c23-4b71-a527-73063ea86e54' class='xr-var-data-in' type='checkbox'><label for='data-baaab62d-6c23-4b71-a527-73063ea86e54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6244507 ,  0.62454224,  0.6244812 , ...,  0.625     ,\n",
               "         0.6247864 ,  0.62490845],\n",
               "       [-0.04101562, -0.04098511, -0.04098511, ..., -0.03570557,\n",
               "        -0.03564453, -0.03561401],\n",
               "       [-0.05014038, -0.05010986, -0.05014038, ..., -0.04354858,\n",
               "        -0.04360962, -0.04360962],\n",
               "       [ 0.77835083,  0.7782593 ,  0.7783203 , ...,  0.77856445,\n",
-              "         0.77874756,  0.7786255 ]], shape=(4, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_press</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>12.8 12.8 12.8 ... 12.0 12.0 12.0</div><input id='attrs-4ca0ab12-bd84-4097-b895-e57e3fc5de6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ca0ab12-bd84-4097-b895-e57e3fc5de6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c2d82bb-5a17-4f7e-b60c-be48ad57a5e7' class='xr-var-data-in' type='checkbox'><label for='data-0c2d82bb-5a17-4f7e-b60c-be48ad57a5e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Pressure Sensor Temperature</dd></dl></div><div class='xr-var-data'><pre>array([12.8, 12.8, 12.8, ..., 12. , 12. , 12. ],\n",
-              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>243 243 243 244 ... 246 246 246 246</div><input id='attrs-baf3a83f-5067-483c-b593-c804797724f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-baf3a83f-5067-483c-b593-c804797724f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c853c46c-dd38-401f-91d9-dd5a664ea07a' class='xr-var-data-in' type='checkbox'><label for='data-c853c46c-dd38-401f-91d9-dd5a664ea07a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([243, 243, 243, ..., 246, 246, 246], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>72.9 72.8 72.4 ... -198.0 -195.7</div><input id='attrs-a3d36048-7a04-447f-bca2-3dc7664d54d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3d36048-7a04-447f-bca2-3dc7664d54d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c06619e-5cea-454c-a150-7d12c1a7adc2' class='xr-var-data-in' type='checkbox'><label for='data-5c06619e-5cea-454c-a150-7d12c1a7adc2' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>uT</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[  72.9,   72.8,   72.4, ...,   73. ,   73. ,   72.7],\n",
+              "         0.77874756,  0.7786255 ]], shape=(4, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_press</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>12.8 12.8 12.8 ... 12.0 12.0 12.0</div><input id='attrs-260741b7-2e1e-4472-a6a7-477c372dd81e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-260741b7-2e1e-4472-a6a7-477c372dd81e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d39143f-e3a6-4c25-a187-5db290f8fd54' class='xr-var-data-in' type='checkbox'><label for='data-4d39143f-e3a6-4c25-a187-5db290f8fd54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Pressure Sensor Temperature</dd></dl></div><div class='xr-var-data'><pre>array([12.8, 12.8, 12.8, ..., 12. , 12. , 12. ],\n",
+              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>243 243 243 244 ... 246 246 246 246</div><input id='attrs-a416be3e-a9f9-4dc9-905d-50aaad44af3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a416be3e-a9f9-4dc9-905d-50aaad44af3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a401993c-61b9-4b56-b515-66b3244f7895' class='xr-var-data-in' type='checkbox'><label for='data-a401993c-61b9-4b56-b515-66b3244f7895' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([243, 243, 243, ..., 246, 246, 246], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>72.9 72.8 72.4 ... -198.0 -195.7</div><input id='attrs-6edcd2d8-b4a0-4f49-9bdc-695b9639c9e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6edcd2d8-b4a0-4f49-9bdc-695b9639c9e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80eafe02-2aef-4704-b695-4363e269ef52' class='xr-var-data-in' type='checkbox'><label for='data-80eafe02-2aef-4704-b695-4363e269ef52' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>uT</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[  72.9,   72.8,   72.4, ...,   73. ,   73. ,   72.7],\n",
               "       [   9.5,    9.5,    9.8, ...,    6. ,    6.4,    5.9],\n",
               "       [-197.1, -197.2, -197.7, ..., -197.4, -198. , -195.7]],\n",
-              "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.01437 0.0 ... 9.709 9.724</div><input id='attrs-37b68fe2-0af0-480d-9d75-c671620f8b77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37b68fe2-0af0-480d-9d75-c671620f8b77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02b2768b-9263-4783-ba00-4ba49ef9dae1' class='xr-var-data-in' type='checkbox'><label for='data-02b2768b-9263-4783-ba00-4ba49ef9dae1' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-1.4370117e-02,  0.0000000e+00, -1.4370117e-02, ...,\n",
+              "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.01437 0.0 ... 9.709 9.724</div><input id='attrs-a0073969-6839-481e-8292-180ce2bb20df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0073969-6839-481e-8292-180ce2bb20df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05cb70f2-95a2-4b17-aafe-07d89b9a756d' class='xr-var-data-in' type='checkbox'><label for='data-05cb70f2-95a2-4b17-aafe-07d89b9a756d' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-1.4370117e-02,  0.0000000e+00, -1.4370117e-02, ...,\n",
               "        -4.7900393e-03, -1.9160157e-02, -1.4370117e-02],\n",
               "       [-1.2693603e+00, -1.2885205e+00, -1.2837305e+00, ...,\n",
               "        -1.0825489e+00, -1.1017090e+00, -1.1064991e+00],\n",
               "       [ 9.7189894e+00,  9.7046194e+00,  9.7094088e+00, ...,\n",
               "         9.7141991e+00,  9.7094088e+00,  9.7237797e+00]],\n",
-              "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-e627ec10-d8cd-429d-b603-1d9a35e02e36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e627ec10-d8cd-429d-b603-1d9a35e02e36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afdfad8b-d9e3-41af-9619-c2178b544fdb' class='xr-var-data-in' type='checkbox'><label for='data-afdfad8b-d9e3-41af-9619-c2178b544fdb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1053556738 ... 1053557762</div><input id='attrs-437c65d8-caa7-4bc7-85ac-2e54a22e1402' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-437c65d8-caa7-4bc7-85ac-2e54a22e1402' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c857bb51-3bb7-4320-8d3a-493531d3d019' class='xr-var-data-in' type='checkbox'><label for='data-c857bb51-3bb7-4320-8d3a-493531d3d019' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1053556738, 1053556738, 1053556738, ..., 1053556738, 1053556738,\n",
-              "       1053557762], shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1 2 3 4 ... 54997 54998 54999 55000</div><input id='attrs-5c3f5314-b091-4990-8617-32819e546950' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c3f5314-b091-4990-8617-32819e546950' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0253f787-a52b-4f5c-b911-d1e23b9a3c36' class='xr-var-data-in' type='checkbox'><label for='data-0253f787-a52b-4f5c-b911-d1e23b9a3c36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>#</dd><dt><span>long_name :</span></dt><dd>Ensemble Number</dd><dt><span>standard_name :</span></dt><dd>number_of_observations</dd></dl></div><div class='xr-var-data'><pre>array([    1,     2,     3, ..., 54998, 54999, 55000],\n",
-              "      shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.003 0.021 0.018 ... -0.048 0.09</div><input id='attrs-8ba34c98-f026-466e-9c04-ca734c6dfd9c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ba34c98-f026-466e-9c04-ca734c6dfd9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-505f74df-75de-4ab9-9b6f-e2c4b1c4a275' class='xr-var-data-in' type='checkbox'><label for='data-505f74df-75de-4ab9-9b6f-e2c4b1c4a275' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.003,  0.021,  0.018, ...,  0.   , -0.044,  0.009],\n",
+              "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-1a693aed-8376-4da2-b6b8-b52cc29f5a97' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a693aed-8376-4da2-b6b8-b52cc29f5a97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f8632f3-bd21-4b12-8f63-ffa4fc13f535' class='xr-var-data-in' type='checkbox'><label for='data-7f8632f3-bd21-4b12-8f63-ffa4fc13f535' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1053556738 ... 1053557762</div><input id='attrs-1612c4d3-3f4e-4a64-ace2-d0d15ce0883f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1612c4d3-3f4e-4a64-ace2-d0d15ce0883f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8dc7fb9-1286-4787-aa77-0900abd0340f' class='xr-var-data-in' type='checkbox'><label for='data-e8dc7fb9-1286-4787-aa77-0900abd0340f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1053556738, 1053556738, 1053556738, ..., 1053556738, 1053556738,\n",
+              "       1053557762], shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1 2 3 4 ... 54997 54998 54999 55000</div><input id='attrs-0ca3bbe5-66ff-461c-b6e6-889e27e92ffc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ca3bbe5-66ff-461c-b6e6-889e27e92ffc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee816e41-f6a7-45c3-9547-6f16d1652c8a' class='xr-var-data-in' type='checkbox'><label for='data-ee816e41-f6a7-45c3-9547-6f16d1652c8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>#</dd><dt><span>long_name :</span></dt><dd>Ensemble Number</dd><dt><span>standard_name :</span></dt><dd>number_of_observations</dd></dl></div><div class='xr-var-data'><pre>array([    1,     2,     3, ..., 54998, 54999, 55000],\n",
+              "      shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.003 0.021 0.018 ... -0.048 0.09</div><input id='attrs-ddbabbcf-f83d-4461-90e5-3fce0f289d20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddbabbcf-f83d-4461-90e5-3fce0f289d20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-781ef46d-3449-4d67-b228-bb862d9b1fca' class='xr-var-data-in' type='checkbox'><label for='data-781ef46d-3449-4d67-b228-bb862d9b1fca' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.003,  0.021,  0.018, ...,  0.   , -0.044,  0.009],\n",
               "       [ 0.057,  0.034,  0.017, ...,  0.01 ,  0.001, -0.002],\n",
               "       [ 0.039,  0.022,  0.02 , ...,  0.039, -0.008,  0.018],\n",
               "       ...,\n",
               "       [-0.036, -0.013,  0.058, ...,  0.058, -0.013,  0.028],\n",
               "       [-0.043, -0.009,  0.028, ...,  0.092, -0.021,  0.019],\n",
               "       [-0.073,  0.003,  0.   , ...,  0.049, -0.048,  0.09 ]],\n",
-              "      shape=(28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>80.5 80.5 80.0 ... 46.5 46.0 47.5</div><input id='attrs-e56774a7-c9e7-476f-97ad-72b4a06d9caf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e56774a7-c9e7-476f-97ad-72b4a06d9caf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5006da4b-9fac-45f3-93cf-093f338a4b03' class='xr-var-data-in' type='checkbox'><label for='data-5006da4b-9fac-45f3-93cf-093f338a4b03' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[80.5, 80.5, 80. , ..., 82. , 81.5, 81. ],\n",
+              "      shape=(28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>80.5 80.5 80.0 ... 46.5 46.0 47.5</div><input id='attrs-e9aaf5a3-4a7a-4ee4-9e8b-bdfe92be853e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9aaf5a3-4a7a-4ee4-9e8b-bdfe92be853e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01b4b336-0207-4e16-83e4-4f5f982d66d5' class='xr-var-data-in' type='checkbox'><label for='data-01b4b336-0207-4e16-83e4-4f5f982d66d5' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[80.5, 80.5, 80. , ..., 82. , 81.5, 81. ],\n",
               "       [75.5, 76.5, 76. , ..., 78.5, 78. , 77.5],\n",
               "       [72.5, 73.5, 73.5, ..., 75. , 76.5, 75.5],\n",
               "       ...,\n",
               "       [57.5, 57.5, 57. , ..., 49. , 49. , 48.5],\n",
               "       [56.5, 57. , 56. , ..., 47.5, 48. , 48. ],\n",
               "       [55.5, 55.5, 55. , ..., 46.5, 46. , 47.5]],\n",
-              "      shape=(28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>98 100 92 93 98 ... 100 99 94 100</div><input id='attrs-404c4618-f62e-4504-b6c3-1859e03b4f70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-404c4618-f62e-4504-b6c3-1859e03b4f70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfe891f4-9f91-4567-8f93-109fc59a7b74' class='xr-var-data-in' type='checkbox'><label for='data-bfe891f4-9f91-4567-8f93-109fc59a7b74' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[ 98, 100,  92, ...,  88,  90,  91],\n",
+              "      shape=(28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>98 100 92 93 98 ... 100 99 94 100</div><input id='attrs-49a7bd8a-0a04-4ec9-adfd-81d5983b1c7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49a7bd8a-0a04-4ec9-adfd-81d5983b1c7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc62e947-5792-40b2-880b-642326923ea4' class='xr-var-data-in' type='checkbox'><label for='data-cc62e947-5792-40b2-880b-642326923ea4' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[ 98, 100,  92, ...,  88,  90,  91],\n",
               "       [ 97,  94,  98, ...,  97,  95,  97],\n",
               "       [100, 100, 100, ...,  93, 100,  96],\n",
               "       ...,\n",
               "       [100, 100, 100, ..., 100, 100,  98],\n",
               "       [100, 100, 100, ...,  99, 100,  98],\n",
               "       [100, 100, 100, ...,  99,  94, 100]],\n",
-              "      shape=(28, 55000), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat_b5</span></div><div class='xr-var-dims'>(earth, inst, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2167 -0.2165 ... 0.9937 0.9937</div><input id='attrs-1a470afd-e700-413c-b637-a244630e9ef8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a470afd-e700-413c-b637-a244630e9ef8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19fe9666-50f5-495e-8450-dc6b3f76616f' class='xr-var-data-in' type='checkbox'><label for='data-19fe9666-50f5-495e-8450-dc6b3f76616f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[-2.16694236e-01, -2.16498137e-01, -2.16593146e-01, ...,\n",
+              "      shape=(28, 55000), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat_b5</span></div><div class='xr-var-dims'>(earth, inst, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2167 -0.2165 ... 0.9937 0.9937</div><input id='attrs-d64f9409-7e72-4baf-9844-2bcbad248f4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d64f9409-7e72-4baf-9844-2bcbad248f4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4be97a6-a1bf-47d6-94fa-b37f3f89b074' class='xr-var-data-in' type='checkbox'><label for='data-f4be97a6-a1bf-47d6-94fa-b37f3f89b074' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[-2.16694236e-01, -2.16498137e-01, -2.16593146e-01, ...,\n",
               "         -2.16118217e-01, -2.16699123e-01, -2.16318965e-01],\n",
               "        [-9.67967808e-01, -9.68039632e-01, -9.68030274e-01, ...,\n",
               "         -9.70095694e-01, -9.69992876e-01, -9.70033050e-01],\n",
@@ -725,73 +832,25 @@
               "         -1.12442717e-01, -1.12462208e-01, -1.12422116e-01],\n",
               "        [ 9.91601229e-01,  9.91612315e-01,  9.91612315e-01, ...,\n",
               "          9.93657291e-01,  9.93655324e-01,  9.93659675e-01]]],\n",
-              "      shape=(3, 3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.001953 -0.001953 ... -0.001953</div><input id='attrs-a74a7f13-0d52-4f16-82b1-ee206ae6d5bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a74a7f13-0d52-4f16-82b1-ee206ae6d5bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3f20d95-68d7-474a-8595-d5c5021028ea' class='xr-var-data-in' type='checkbox'><label for='data-b3f20d95-68d7-474a-8595-d5c5021028ea' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[-0.00195312, -0.00195312, -0.00195312, ..., -0.00097656,\n",
+              "      shape=(3, 3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.001953 -0.001953 ... -0.001953</div><input id='attrs-1471b74e-47fe-4d1d-bd27-e270c6da837b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1471b74e-47fe-4d1d-bd27-e270c6da837b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ecf21070-fc91-40e7-8852-b6f0a3a2a034' class='xr-var-data-in' type='checkbox'><label for='data-ecf21070-fc91-40e7-8852-b6f0a3a2a034' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[-0.00195312, -0.00195312, -0.00195312, ..., -0.00097656,\n",
               "        -0.00195312, -0.00390625],\n",
               "       [ 0.        ,  0.        ,  0.00097656, ...,  0.00097656,\n",
               "         0.        ,  0.00097656],\n",
               "       [-0.00292969, -0.00292969, -0.00292969, ..., -0.00292969,\n",
-              "        -0.00292969, -0.00195312]], shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions_b5</span></div><div class='xr-var-dims'>(q, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6245 ... 0.7787 0.7786</div><input id='attrs-26443951-1c72-4ee5-bfc4-bd88dbb72a68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26443951-1c72-4ee5-bfc4-bd88dbb72a68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7cd4a141-939b-4e48-927f-83fafb7cb2e4' class='xr-var-data-in' type='checkbox'><label for='data-7cd4a141-939b-4e48-927f-83fafb7cb2e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6244507 ,  0.62454224,  0.6245117 , ...,  0.625     ,\n",
+              "        -0.00292969, -0.00195312]], shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions_b5</span></div><div class='xr-var-dims'>(q, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6245 ... 0.7787 0.7786</div><input id='attrs-989ca672-bf7d-4199-8654-53c0f2327fd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-989ca672-bf7d-4199-8654-53c0f2327fd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86f877ab-3d55-4aa3-9973-06e006408b99' class='xr-var-data-in' type='checkbox'><label for='data-86f877ab-3d55-4aa3-9973-06e006408b99' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6244507 ,  0.62454224,  0.6245117 , ...,  0.625     ,\n",
               "         0.6247864 ,  0.62490845],\n",
               "       [-0.04101562, -0.04098511, -0.04098511, ..., -0.03570557,\n",
               "        -0.03564453, -0.03561401],\n",
               "       [-0.0501709 , -0.05014038, -0.05014038, ..., -0.04354858,\n",
               "        -0.04360962, -0.04360962],\n",
               "       [ 0.77835083,  0.7782898 ,  0.7783203 , ...,  0.77856445,\n",
-              "         0.77874756,  0.7786255 ]], shape=(4, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>65 65 65 65 65 ... 65 65 65 65 65</div><input id='attrs-7ec6af9a-2255-46c2-850c-93e145634ac2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ec6af9a-2255-46c2-850c-93e145634ac2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61005fbb-7dfb-4d0b-9523-6eb3492ca550' class='xr-var-data-in' type='checkbox'><label for='data-61005fbb-7dfb-4d0b-9523-6eb3492ca550' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([65, 65, 65, ..., 65, 65, 65], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low_volt_skip</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-4e977b39-1909-48dd-8c7e-e02ad7a96c22' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4e977b39-1909-48dd-8c7e-e02ad7a96c22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baa95071-3866-471b-b363-0ef3d4385487' class='xr-var-data-in' type='checkbox'><label for='data-baa95071-3866-471b-b363-0ef3d4385487' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>active_config</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-93757c98-db60-44da-bdfb-1318145581a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-93757c98-db60-44da-bdfb-1318145581a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d6e07b5-4397-4172-8c7b-25483bd9111e' class='xr-var-data-in' type='checkbox'><label for='data-2d6e07b5-4397-4172-8c7b-25483bd9111e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>telemetry_data</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-318ea917-1899-4a34-abc4-5c37c5c15fc5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-318ea917-1899-4a34-abc4-5c37c5c15fc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b729943f-bf76-445a-ba63-1bf020bd6fb8' class='xr-var-data-in' type='checkbox'><label for='data-b729943f-bf76-445a-ba63-1bf020bd6fb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>boost_running</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 1 0 0 0 0 0 0 1</div><input id='attrs-e6c5b282-4fac-44ca-8c0f-2b06b9941da7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e6c5b282-4fac-44ca-8c0f-2b06b9941da7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45c11eaf-5ea8-491f-a07a-6202abbd36f5' class='xr-var-data-in' type='checkbox'><label for='data-45c11eaf-5ea8-491f-a07a-6202abbd36f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 1], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-12.52 -12.51 ... -12.52 -12.5</div><input id='attrs-eba533fc-3add-4203-8fe9-58c745d4a428' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eba533fc-3add-4203-8fe9-58c745d4a428' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66aeb13a-c38a-492a-af64-001423f96b88' class='xr-var-data-in' type='checkbox'><label for='data-66aeb13a-c38a-492a-af64-001423f96b88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Heading</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd></dl></div><div class='xr-var-data'><pre>array([-12.52    , -12.505001, -12.51    , ..., -12.490002, -12.52    ,\n",
-              "       -12.500001], shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.065 -0.06 -0.06 ... -0.05 -0.05</div><input id='attrs-a4b40bd9-d7cb-4510-8ce3-3b2a91e29acc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4b40bd9-d7cb-4510-8ce3-3b2a91e29acc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e4a129a-fc0f-42eb-9338-20dbed6475ad' class='xr-var-data-in' type='checkbox'><label for='data-9e4a129a-fc0f-42eb-9338-20dbed6475ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch</dd></dl></div><div class='xr-var-data'><pre>array([-0.065, -0.06 , -0.06 , ..., -0.06 , -0.05 , -0.05 ],\n",
-              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.425 -7.42 -7.42 ... -6.45 -6.45</div><input id='attrs-f7999b95-d36b-45ad-b566-08589acee982' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7999b95-d36b-45ad-b566-08589acee982' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-042bdbd3-5f68-4ce3-8795-e9b64b6ae1c1' class='xr-var-data-in' type='checkbox'><label for='data-042bdbd3-5f68-4ce3-8795-e9b64b6ae1c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll</dd></dl></div><div class='xr-var-data'><pre>array([-7.4250007, -7.42     , -7.42     , ..., -6.45     , -6.45     ,\n",
-              "       -6.45     ], shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam2inst_orientmat</span></div><div class='xr-var-dims'>(x1, x2)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.183 0.0 -1.183 ... 0.0 0.5518</div><input id='attrs-36b40b6e-6419-46de-bbb3-b61ce161e810' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36b40b6e-6419-46de-bbb3-b61ce161e810' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-699e6c95-2bd9-4c71-8390-2bda2c0a5771' class='xr-var-data-in' type='checkbox'><label for='data-699e6c95-2bd9-4c71-8390-2bda2c0a5771' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Rotation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.1831,  0.    , -1.1831,  0.    ],\n",
+              "         0.77874756,  0.7786255 ]], shape=(4, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>65 65 65 65 65 ... 65 65 65 65 65</div><input id='attrs-667732f5-7116-47da-bd4f-db29a19aee07' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-667732f5-7116-47da-bd4f-db29a19aee07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ff97d6e-1363-4570-b4a5-c00ddb2a2610' class='xr-var-data-in' type='checkbox'><label for='data-5ff97d6e-1363-4570-b4a5-c00ddb2a2610' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([65, 65, 65, ..., 65, 65, 65], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low_volt_skip</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-c89265c8-95a0-4b17-b3b1-7c9460c06c28' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c89265c8-95a0-4b17-b3b1-7c9460c06c28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d1fe44d-545a-47e8-9c1b-6f76341d733b' class='xr-var-data-in' type='checkbox'><label for='data-1d1fe44d-545a-47e8-9c1b-6f76341d733b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>active_config</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-7379d0b5-fd72-4262-9f94-cbb403ecde19' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7379d0b5-fd72-4262-9f94-cbb403ecde19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32c6d6ff-d2f1-471e-9f65-9b86016039c5' class='xr-var-data-in' type='checkbox'><label for='data-32c6d6ff-d2f1-471e-9f65-9b86016039c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>telemetry_data</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-bd5b71b0-5b96-4296-86fb-f3645d73c420' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd5b71b0-5b96-4296-86fb-f3645d73c420' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-116e391d-c2a4-4ac0-bb70-a4b0fe978931' class='xr-var-data-in' type='checkbox'><label for='data-116e391d-c2a4-4ac0-bb70-a4b0fe978931' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>boost_running</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 1 0 0 0 0 0 0 1</div><input id='attrs-bf221d99-b64d-4682-a51d-b7a7f25caabb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bf221d99-b64d-4682-a51d-b7a7f25caabb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e93c5e0-3289-467a-b87a-5a933f930a78' class='xr-var-data-in' type='checkbox'><label for='data-1e93c5e0-3289-467a-b87a-5a933f930a78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 1], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-12.52 -12.51 ... -12.52 -12.5</div><input id='attrs-0f3f6aee-d16f-4625-aa37-7d910c2961bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f3f6aee-d16f-4625-aa37-7d910c2961bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59c5cb95-68ce-4334-a77a-335cea0d1b68' class='xr-var-data-in' type='checkbox'><label for='data-59c5cb95-68ce-4334-a77a-335cea0d1b68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Heading</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd></dl></div><div class='xr-var-data'><pre>array([-12.52    , -12.505001, -12.51    , ..., -12.490002, -12.52    ,\n",
+              "       -12.500001], shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.065 -0.06 -0.06 ... -0.05 -0.05</div><input id='attrs-b73c1e46-9c48-45da-af05-dfc6e0fbcc93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b73c1e46-9c48-45da-af05-dfc6e0fbcc93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24c165d6-04b0-4b7d-ac22-91d86d4c8938' class='xr-var-data-in' type='checkbox'><label for='data-24c165d6-04b0-4b7d-ac22-91d86d4c8938' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch</dd></dl></div><div class='xr-var-data'><pre>array([-0.065, -0.06 , -0.06 , ..., -0.06 , -0.05 , -0.05 ],\n",
+              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.425 -7.42 -7.42 ... -6.45 -6.45</div><input id='attrs-ebaca705-8855-40e9-bbb1-d59424ab55ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebaca705-8855-40e9-bbb1-d59424ab55ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c51fc4c-6cee-4c6d-bfa7-9a748257887b' class='xr-var-data-in' type='checkbox'><label for='data-6c51fc4c-6cee-4c6d-bfa7-9a748257887b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll</dd></dl></div><div class='xr-var-data'><pre>array([-7.4250007, -7.42     , -7.42     , ..., -6.45     , -6.45     ,\n",
+              "       -6.45     ], shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam2inst_orientmat</span></div><div class='xr-var-dims'>(x1, x2)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.183 0.0 -1.183 ... 0.0 0.5518</div><input id='attrs-382159ed-c72a-4cde-9831-b9603cdc27e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-382159ed-c72a-4cde-9831-b9603cdc27e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05ec616d-84d6-4320-a806-219e8c9c1bec' class='xr-var-data-in' type='checkbox'><label for='data-05ec616d-84d6-4320-a806-219e8c9c1bec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Rotation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.1831,  0.    , -1.1831,  0.    ],\n",
               "       [ 0.    , -1.1831,  0.    ,  1.1831],\n",
               "       [ 0.5518,  0.    ,  0.5518,  0.    ],\n",
-              "       [ 0.    ,  0.5518,  0.    ,  0.5518]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-85c4917d-66c8-479f-b4e2-15d04b2bf964' class='xr-section-summary-in' type='checkbox'  ><label for='section-85c4917d-66c8-479f-b4e2-15d04b2bf964' class='xr-section-summary' >Indexes: <span>(12)</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>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2de81dd7-2cb8-44e4-904b-7daf8ca0d950' class='xr-index-data-in' type='checkbox'/><label for='index-2de81dd7-2cb8-44e4-904b-7daf8ca0d950' 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;2020-08-15 00:20:00.500999927&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:01.501100063&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:02.500999927&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:03.501100063&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:04.500999927&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:05.500999927&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:06.500999927&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:07.500999927&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:08.500999927&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:09.500999927&#x27;,\n",
-              "               ...\n",
-              "               &#x27;2020-08-15 15:36:30.500999927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:31.500999927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:32.500999927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:33.500999927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:34.500999927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:35.500999927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:36.500999927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:37.500999927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:38.500999927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:39.500999927&#x27;],\n",
-              "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=55000, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time_b5</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2afce65d-6462-4849-aa74-76741c2965b9' class='xr-index-data-in' type='checkbox'/><label for='index-2afce65d-6462-4849-aa74-76741c2965b9' 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;2020-08-15 00:20:00.438499927&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:01.438499927&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:02.438499927&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:03.438499927&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:04.438499927&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:05.438499927&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:06.438400030&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:07.438499927&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:08.438499927&#x27;,\n",
-              "               &#x27;2020-08-15 00:20:09.438499927&#x27;,\n",
-              "               ...\n",
-              "               &#x27;2020-08-15 15:36:30.438499927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:31.438499927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:32.438499927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:33.438499927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:34.438499927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:35.438499927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:36.438499927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:37.438499927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:38.438499927&#x27;,\n",
-              "               &#x27;2020-08-15 15:36:39.438499927&#x27;],\n",
-              "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time_b5&#x27;, length=55000, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>range</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f033e9d7-d4fd-4979-8ac4-bfb33ff92fd8' class='xr-index-data-in' type='checkbox'/><label for='index-f033e9d7-d4fd-4979-8ac4-bfb33ff92fd8' 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([ 0.6,  1.1,  1.6,  2.1,  2.6,  3.1,  3.6,  4.1,  4.6,  5.1,  5.6,  6.1,\n",
-              "        6.6,  7.1,  7.6,  8.1,  8.6,  9.1,  9.6, 10.1, 10.6, 11.1, 11.6, 12.1,\n",
-              "       12.6, 13.1, 13.6, 14.1],\n",
-              "      dtype=&#x27;float64&#x27;, name=&#x27;range&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>range_b5</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-de7c4065-0bf4-4f6d-b14f-69449fc8b193' class='xr-index-data-in' type='checkbox'/><label for='index-de7c4065-0bf4-4f6d-b14f-69449fc8b193' 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([ 0.6,  1.1,  1.6,  2.1,  2.6,  3.1,  3.6,  4.1,  4.6,  5.1,  5.6,  6.1,\n",
-              "        6.6,  7.1,  7.6,  8.1,  8.6,  9.1,  9.6, 10.1, 10.6, 11.1, 11.6, 12.1,\n",
-              "       12.6, 13.1, 13.6, 14.1],\n",
-              "      dtype=&#x27;float64&#x27;, name=&#x27;range_b5&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>beam</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9137ad8f-4782-432a-8947-4b73692e8655' class='xr-index-data-in' type='checkbox'/><label for='index-9137ad8f-4782-432a-8947-4b73692e8655' 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([1, 2, 3, 4], dtype=&#x27;int32&#x27;, name=&#x27;beam&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dir</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-0263034c-e555-4e21-b001-f590f8e161ea' class='xr-index-data-in' type='checkbox'/><label for='index-0263034c-e555-4e21-b001-f590f8e161ea' 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([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U1&#x27;, &#x27;U2&#x27;], dtype=&#x27;object&#x27;, name=&#x27;dir&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dirIMU</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-92be0ebb-9e9c-46f7-85f7-7ccca83a0541' class='xr-index-data-in' type='checkbox'/><label for='index-92be0ebb-9e9c-46f7-85f7-7ccca83a0541' 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([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;object&#x27;, name=&#x27;dirIMU&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>earth</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-cb6b149f-ce38-46e6-9fae-b4424b15f76d' class='xr-index-data-in' type='checkbox'/><label for='index-cb6b149f-ce38-46e6-9fae-b4424b15f76d' 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([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;object&#x27;, name=&#x27;earth&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>inst</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c06b0f97-0474-48a9-bd9d-0ed657f86896' class='xr-index-data-in' type='checkbox'/><label for='index-c06b0f97-0474-48a9-bd9d-0ed657f86896' 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([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;object&#x27;, name=&#x27;inst&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>q</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-36cb7aef-fbb6-4ed0-9ce5-1363e63f39ec' class='xr-index-data-in' type='checkbox'/><label for='index-36cb7aef-fbb6-4ed0-9ce5-1363e63f39ec' 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([&#x27;w&#x27;, &#x27;x&#x27;, &#x27;y&#x27;, &#x27;z&#x27;], dtype=&#x27;object&#x27;, name=&#x27;q&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x1</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-4602e62a-bc1a-49ec-bfd7-afd8f4f8498a' class='xr-index-data-in' type='checkbox'/><label for='index-4602e62a-bc1a-49ec-bfd7-afd8f4f8498a' 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([1, 2, 3, 4], dtype=&#x27;int32&#x27;, name=&#x27;x1&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x2</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-dea9ba20-680e-4e92-8a42-2918492d10cb' class='xr-index-data-in' type='checkbox'/><label for='index-dea9ba20-680e-4e92-8a42-2918492d10cb' 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([1, 2, 3, 4], dtype=&#x27;int32&#x27;, name=&#x27;x2&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e4c8d97d-a580-46d6-8a37-d465412da7bf' class='xr-section-summary-in' type='checkbox'  ><label for='section-e4c8d97d-a580-46d6-8a37-d465412da7bf' class='xr-section-summary' >Attributes: <span>(34)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>filehead_config :</span></dt><dd>{&quot;CLOCKSTR&quot;: {&quot;TIME&quot;: &quot;\\&quot;2020-08-13 13:56:21\\&quot;&quot;}, &quot;ID&quot;: &quot;STR=\\&quot;Signature1000\\&quot;,SN=101663&quot;, &quot;HW&quot;: {&quot;FW&quot;: 2212, &quot;FPGA&quot;: 169, &quot;DIGITAL&quot;: &quot;\\&quot;I-3\\&quot;&quot;, &quot;INTERFACE&quot;: &quot;\\&quot;H-2\\&quot;&quot;, &quot;ANALOG&quot;: &quot;\\&quot;G-1\\&quot;&quot;, &quot;SENSOR&quot;: &quot;\\&quot;D-1(AHRS)\\&quot;&quot;, &quot;BOOT&quot;: 21, &quot;FWMINOR&quot;: 11}, &quot;BOARDSENSGET&quot;: &quot;AV=23,NB=5,HF=1000,TTR=2.0000,TTRB5=2.0000&quot;, &quot;PWR&quot;: {&quot;PLAN&quot;: 1940.43, &quot;BURST&quot;: 1937.69, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 1940.43}, &quot;MEM&quot;: {&quot;PLAN&quot;: 2.733, &quot;BURST&quot;: 2.733, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 2.733}, &quot;PRECISION&quot;: {&quot;AVGHORZ&quot;: -9.99, &quot;BURSTHORZ&quot;: 2.6, &quot;BEAM5&quot;: 1.62, &quot;AVGBEAM&quot;: -9.99, &quot;BURSTBEAM&quot;: 1.55}, &quot;PLAN&quot;: {&quot;MIAVG&quot;: 600, &quot;AVG&quot;: 0, &quot;DIAVG&quot;: 0, &quot;VD&quot;: 0, &quot;MV&quot;: 10, &quot;SA&quot;: 32.0, &quot;BURST&quot;: 1, &quot;MIBURST&quot;: 1, &quot;DIBURST&quot;: 0, &quot;SV&quot;: 0.0, &quot;FN&quot;: &quot;\\&quot;S101663A007_sea_spider.ad2cp\\&quot;&quot;, &quot;SO&quot;: 0, &quot;FREQ&quot;: 1000, &quot;NSTT&quot;: 0}, &quot;BURST&quot;: {&quot;NC&quot;: 28, &quot;NB&quot;: 5, &quot;CS&quot;: 0.5, &quot;BD&quot;: 0.1, &quot;CY&quot;: &quot;\\&quot;ENU\\&quot;&quot;, &quot;PL&quot;: 0.0, &quot;SR&quot;: 1, &quot;NS&quot;: 1, &quot;VR&quot;: 2.5, &quot;VP&quot;: 0.0, &quot;DF&quot;: 3, &quot;NPING&quot;: 8, &quot;CH&quot;: 0, &quot;ALTI&quot;: 0, &quot;VR5&quot;: 2.5, &quot;BT&quot;: 0, &quot;DISV&quot;: 0, &quot;ECHO&quot;: 0, &quot;RAWALTI&quot;: 60, &quot;ALTISTART&quot;: 0.1, &quot;ALTIEND&quot;: 30.0, &quot;HR&quot;: 0, &quot;HR5&quot;: 0}, &quot;XFBURST&quot;: {&quot;ROWS&quot;: 4, &quot;COLS&quot;: 4, &quot;M11&quot;: 1.1831, &quot;M12&quot;: 0.0, &quot;M13&quot;: -1.1831, &quot;M14&quot;: 0.0, &quot;M21&quot;: 0.0, &quot;M22&quot;: -1.1831, &quot;M23&quot;: 0.0, &quot;M24&quot;: 1.1831, &quot;M31&quot;: 0.5518, &quot;M32&quot;: 0.0, &quot;M33&quot;: 0.5518, &quot;M34&quot;: 0.0, &quot;M41&quot;: 0.0, &quot;M42&quot;: 0.5518, &quot;M43&quot;: 0.0, &quot;M44&quot;: 0.5518}, &quot;USER&quot;: {&quot;POFF&quot;: 10.2, &quot;DECL&quot;: 0.0, &quot;HX&quot;: -48, &quot;HY&quot;: 48, &quot;HZ&quot;: 0}, &quot;INST&quot;: {&quot;BR&quot;: 9600, &quot;RS&quot;: 232, &quot;LED&quot;: &quot;\\&quot;OFF\\&quot;&quot;, &quot;ORIENT&quot;: &quot;\\&quot;AHRS3D\\&quot;&quot;, &quot;CMTOUT&quot;: 300, &quot;DMTOUT&quot;: 60, &quot;CFMTOUT&quot;: 60}, &quot;COMPASSCAL&quot;: {&quot;DX&quot;: 155, &quot;DY&quot;: 778, &quot;DZ&quot;: -486, &quot;M11&quot;: 31481, &quot;M12&quot;: 1726, &quot;M13&quot;: -1109, &quot;M21&quot;: -1955, &quot;M22&quot;: 32767, &quot;M23&quot;: 379, &quot;M31&quot;: 750, &quot;M32&quot;: -1851, &quot;M33&quot;: 31699}, &quot;READAHRS&quot;: &quot;STR=\\&quot;OSv6_a2_V5101_0.6 Oct  3 2019, SerialNumber=60004222,type=OS3DM\\&quot;&quot;, &quot;RECSTAT&quot;: &quot;SS=512,CS=32768,FC=127813877760,TC=127848677376,VS=127848677376&quot;, &quot;BEAMCFGLIST&quot;: [&quot;BEAM=1,THETA=25.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=1,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=2,THETA=25.00,PHI=-90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=2,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=3,THETA=25.00,PHI=180.00,FREQ=1000,BW=25,BRD=1,HWBEAM=3,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=4,THETA=25.00,PHI=90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=4,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=5,THETA=0.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=5,ZNOM=60.00,DIA=0.0&quot;], &quot;BEAMIMPLIST&quot;: [&quot;BEAM=1,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=2,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=3,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=4,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=5,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;], &quot;LISTLICENSE&quot;: [&quot;KEY=\\&quot;C390Y1LU32C1B\\&quot;,DESC=\\&quot;Averaging Mode\\&quot;,TYPE=1&quot;, &quot;KEY=\\&quot;6F2UB3HTH2C1B\\&quot;,DESC=\\&quot;Burst Five Beams\\&quot;,TYPE=17&quot;, &quot;KEY=\\&quot;R0X9JSZPH2C1B\\&quot;,DESC=\\&quot;128GB Recorder\\&quot;,TYPE=14&quot;], &quot;CALCOMPGET&quot;: &quot;DX=155,DY=778,DZ=-486,M11=31481,M12=1726,M13=-1109,M21=-1955,M22=32767,M23=379,M31=750,M32=-1851,M33=31699&quot;, &quot;CALTEMPGET&quot;: &quot;SC=0.99906&quot;, &quot;CALTILTGET&quot;: &quot;PO=0.00,RO=0.00,MAGG=1,HO=0.00&quot;, &quot;CALACCLGET&quot;: [&quot;AX=1.000000E+00,B0X=1.791816E-02,B1X=-1.795970E-02,B2X=6.661898E-04,B3X=0.000000E+00,A1X=1.146936E-05,A2X=7.326843E-06,A3X=0.000000E+00&quot;, &quot;AY=1.000000E+00,B0Y=9.597497E-03,B1Y=-8.430577E-03,B2Y=9.310668E-04,B3Y=0.000000E+00,A1Y=7.215003E-05,A2Y=1.361528E-06,A3Y=0.000000E+00&quot;, &quot;AZ=1.000000E+00,B0Z=1.290458E-02,B1Z=2.959575E-02,B2Z=2.331257E-03,B3Z=0.000000E+00,A1Z=1.164268E-04,A2Z=-2.166612E-06,A3Z=0.000000E+00&quot;], &quot;CALGYROGET&quot;: [&quot;AX=1.094973E+00,B0X=-2.672331E+00,B1X=-1.493178E-03,B2X=9.496510E-05,B3X=0.000000E+00,A1X=2.702698E-04,A2X=8.100271E-05,A3X=0.000000E+00&quot;, &quot;AY=1.080807E+00,B0Y=3.432283E-01,B1Y=7.219538E-04,B2Y=1.416728E-04,B3Y=0.000000E+00,A1Y=9.466633E-04,A2Y=-4.216283E-05,A3Y=0.000000E+00&quot;, &quot;AZ=1.085556E+00,B0Z=-9.442614E-01,B1Z=6.433576E-04,B2Z=-1.306087E-05,B3Z=0.000000E+00,A1Z=1.430541E-03,A2Z=-7.494539E-05,A3Z=0.000000E+00&quot;], &quot;CALPRESSGET&quot;: &quot;MT=1,RREF=4.5264760000e+02,RB0=7.7074756250e-01,RB1=-7.5541806250e-02,RB2=4.9886362500e-04,RB3=-1.4193179690e-07,T0=-2.4234620000e+03,T1=1.8815180000e+00,T2=-5.0111803130e-04,T3=4.7281500000e-08,ID=\\&quot;K244314\\&quot;&quot;, &quot;CALPRESSCOEFFGET&quot;: [&quot;A0=6.3850020000e+00,A1=-5.6274000000e-03,A2=1.6346411250e-06,A3=-1.6029240630e-10,B0=-2.6056009380e-01,B1=3.1699690630e-04,B2=-9.0774206250e-08,B3=8.5142393750e-12&quot;, &quot;C0=-1.2762860000e-03,C1=1.1561740000e-06,C2=-3.5109818750e-10,C3=3.5575718750e-14,D0=3.6002040630e-06,D1=-3.3359181250e-09,D2=1.0241850000e-12,D3=-1.0446648750e-16&quot;], &quot;CALROTACCLGET&quot;: &quot;M11=0.99144,M12=0.00991,M13=-0.03081,M21=-0.00921,M22=0.99564,M23=0.01131,M31=0.03451,M32=-0.01242,M33=0.98426&quot;, &quot;CALROTGYROGET&quot;: &quot;M11=1.00000,M12=0.00803,M13=-0.02685,M21=-0.00933,M22=1.00000,M23=0.01646,M31=0.02587,M32=-0.01599,M33=1.00000&quot;, &quot;CALECHOGET&quot;: &quot;CHA0=0.00,CHB0=-17.69,CHC0=0.00&quot;}</dd><dt><span>inst_model :</span></dt><dd>Signature1000</dd><dt><span>inst_make :</span></dt><dd>Nortek</dd><dt><span>inst_type :</span></dt><dd>ADCP</dd><dt><span>burst_config :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells :</span></dt><dd>28</dd><dt><span>n_beams :</span></dt><dd>4</dd><dt><span>ambig_vel :</span></dt><dd>5.066</dd><dt><span>SerialNum :</span></dt><dd>101663</dd><dt><span>nominal_corr :</span></dt><dd>67</dd><dt><span>cell_size :</span></dt><dd>0.5</dd><dt><span>blank_dist :</span></dt><dd>0.1</dd><dt><span>power_level_dB :</span></dt><dd>0.0</dd><dt><span>burst_config_b5 :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells_b5 :</span></dt><dd>28</dd><dt><span>coord_sys_axes_b5 :</span></dt><dd>beam</dd><dt><span>n_beams_b5 :</span></dt><dd>1</dd><dt><span>ambig_vel_b5 :</span></dt><dd>5.066</dd><dt><span>SerialNum_b5 :</span></dt><dd>101663</dd><dt><span>nominal_corr_b5 :</span></dt><dd>65</dd><dt><span>cell_size_b5 :</span></dt><dd>0.5</dd><dt><span>blank_dist_b5 :</span></dt><dd>0.1</dd><dt><span>power_level_dB_b5 :</span></dt><dd>0.0</dd><dt><span>wakeup_state :</span></dt><dd>clock</dd><dt><span>orientation :</span></dt><dd>AHRS</dd><dt><span>orient_status :</span></dt><dd>AHRS-3D</dd><dt><span>proc_idle_less_3pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_6pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_12pct :</span></dt><dd>0</dd><dt><span>rotate_vars :</span></dt><dd>[&#x27;vel&#x27;, &#x27;accel&#x27;, &#x27;accel_b5&#x27;, &#x27;angrt&#x27;, &#x27;angrt_b5&#x27;, &#x27;mag&#x27;, &#x27;mag_b5&#x27;]</dd><dt><span>coord_sys :</span></dt><dd>earth</dd><dt><span>fs :</span></dt><dd>1</dd><dt><span>has_imu :</span></dt><dd>1</dd><dt><span>beam_angle :</span></dt><dd>25</dd></dl></div></li></ul></div></div>"
+              "       [ 0.    ,  0.5518,  0.    ,  0.5518]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-44436160-24c8-4212-a1a6-67d9b86add98' class='xr-section-summary-in' type='checkbox'  ><label for='section-44436160-24c8-4212-a1a6-67d9b86add98' class='xr-section-summary' >Attributes: <span>(34)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>filehead_config :</span></dt><dd>{&quot;CLOCKSTR&quot;: {&quot;TIME&quot;: &quot;\\&quot;2020-08-13 13:56:21\\&quot;&quot;}, &quot;ID&quot;: &quot;STR=\\&quot;Signature1000\\&quot;,SN=101663&quot;, &quot;HW&quot;: {&quot;FW&quot;: 2212, &quot;FPGA&quot;: 169, &quot;DIGITAL&quot;: &quot;\\&quot;I-3\\&quot;&quot;, &quot;INTERFACE&quot;: &quot;\\&quot;H-2\\&quot;&quot;, &quot;ANALOG&quot;: &quot;\\&quot;G-1\\&quot;&quot;, &quot;SENSOR&quot;: &quot;\\&quot;D-1(AHRS)\\&quot;&quot;, &quot;BOOT&quot;: 21, &quot;FWMINOR&quot;: 11}, &quot;BOARDSENSGET&quot;: &quot;AV=23,NB=5,HF=1000,TTR=2.0000,TTRB5=2.0000&quot;, &quot;PWR&quot;: {&quot;PLAN&quot;: 1940.43, &quot;BURST&quot;: 1937.69, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 1940.43}, &quot;MEM&quot;: {&quot;PLAN&quot;: 2.733, &quot;BURST&quot;: 2.733, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 2.733}, &quot;PRECISION&quot;: {&quot;AVGHORZ&quot;: -9.99, &quot;BURSTHORZ&quot;: 2.6, &quot;BEAM5&quot;: 1.62, &quot;AVGBEAM&quot;: -9.99, &quot;BURSTBEAM&quot;: 1.55}, &quot;PLAN&quot;: {&quot;MIAVG&quot;: 600, &quot;AVG&quot;: 0, &quot;DIAVG&quot;: 0, &quot;VD&quot;: 0, &quot;MV&quot;: 10, &quot;SA&quot;: 32.0, &quot;BURST&quot;: 1, &quot;MIBURST&quot;: 1, &quot;DIBURST&quot;: 0, &quot;SV&quot;: 0.0, &quot;FN&quot;: &quot;\\&quot;S101663A007_sea_spider.ad2cp\\&quot;&quot;, &quot;SO&quot;: 0, &quot;FREQ&quot;: 1000, &quot;NSTT&quot;: 0}, &quot;BURST&quot;: {&quot;NC&quot;: 28, &quot;NB&quot;: 5, &quot;CS&quot;: 0.5, &quot;BD&quot;: 0.1, &quot;CY&quot;: &quot;\\&quot;ENU\\&quot;&quot;, &quot;PL&quot;: 0.0, &quot;SR&quot;: 1, &quot;NS&quot;: 1, &quot;VR&quot;: 2.5, &quot;VP&quot;: 0.0, &quot;DF&quot;: 3, &quot;NPING&quot;: 8, &quot;CH&quot;: 0, &quot;ALTI&quot;: 0, &quot;VR5&quot;: 2.5, &quot;BT&quot;: 0, &quot;DISV&quot;: 0, &quot;ECHO&quot;: 0, &quot;RAWALTI&quot;: 60, &quot;ALTISTART&quot;: 0.1, &quot;ALTIEND&quot;: 30.0, &quot;HR&quot;: 0, &quot;HR5&quot;: 0}, &quot;XFBURST&quot;: {&quot;ROWS&quot;: 4, &quot;COLS&quot;: 4, &quot;M11&quot;: 1.1831, &quot;M12&quot;: 0.0, &quot;M13&quot;: -1.1831, &quot;M14&quot;: 0.0, &quot;M21&quot;: 0.0, &quot;M22&quot;: -1.1831, &quot;M23&quot;: 0.0, &quot;M24&quot;: 1.1831, &quot;M31&quot;: 0.5518, &quot;M32&quot;: 0.0, &quot;M33&quot;: 0.5518, &quot;M34&quot;: 0.0, &quot;M41&quot;: 0.0, &quot;M42&quot;: 0.5518, &quot;M43&quot;: 0.0, &quot;M44&quot;: 0.5518}, &quot;USER&quot;: {&quot;POFF&quot;: 10.2, &quot;DECL&quot;: 0.0, &quot;HX&quot;: -48, &quot;HY&quot;: 48, &quot;HZ&quot;: 0}, &quot;INST&quot;: {&quot;BR&quot;: 9600, &quot;RS&quot;: 232, &quot;LED&quot;: &quot;\\&quot;OFF\\&quot;&quot;, &quot;ORIENT&quot;: &quot;\\&quot;AHRS3D\\&quot;&quot;, &quot;CMTOUT&quot;: 300, &quot;DMTOUT&quot;: 60, &quot;CFMTOUT&quot;: 60}, &quot;COMPASSCAL&quot;: {&quot;DX&quot;: 155, &quot;DY&quot;: 778, &quot;DZ&quot;: -486, &quot;M11&quot;: 31481, &quot;M12&quot;: 1726, &quot;M13&quot;: -1109, &quot;M21&quot;: -1955, &quot;M22&quot;: 32767, &quot;M23&quot;: 379, &quot;M31&quot;: 750, &quot;M32&quot;: -1851, &quot;M33&quot;: 31699}, &quot;READAHRS&quot;: &quot;STR=\\&quot;OSv6_a2_V5101_0.6 Oct  3 2019, SerialNumber=60004222,type=OS3DM\\&quot;&quot;, &quot;RECSTAT&quot;: &quot;SS=512,CS=32768,FC=127813877760,TC=127848677376,VS=127848677376&quot;, &quot;BEAMCFGLIST&quot;: [&quot;BEAM=1,THETA=25.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=1,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=2,THETA=25.00,PHI=-90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=2,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=3,THETA=25.00,PHI=180.00,FREQ=1000,BW=25,BRD=1,HWBEAM=3,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=4,THETA=25.00,PHI=90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=4,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=5,THETA=0.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=5,ZNOM=60.00,DIA=0.0&quot;], &quot;BEAMIMPLIST&quot;: [&quot;BEAM=1,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=2,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=3,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=4,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=5,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;], &quot;LISTLICENSE&quot;: [&quot;KEY=\\&quot;C390Y1LU32C1B\\&quot;,DESC=\\&quot;Averaging Mode\\&quot;,TYPE=1&quot;, &quot;KEY=\\&quot;6F2UB3HTH2C1B\\&quot;,DESC=\\&quot;Burst Five Beams\\&quot;,TYPE=17&quot;, &quot;KEY=\\&quot;R0X9JSZPH2C1B\\&quot;,DESC=\\&quot;128GB Recorder\\&quot;,TYPE=14&quot;], &quot;CALCOMPGET&quot;: &quot;DX=155,DY=778,DZ=-486,M11=31481,M12=1726,M13=-1109,M21=-1955,M22=32767,M23=379,M31=750,M32=-1851,M33=31699&quot;, &quot;CALTEMPGET&quot;: &quot;SC=0.99906&quot;, &quot;CALTILTGET&quot;: &quot;PO=0.00,RO=0.00,MAGG=1,HO=0.00&quot;, &quot;CALACCLGET&quot;: [&quot;AX=1.000000E+00,B0X=1.791816E-02,B1X=-1.795970E-02,B2X=6.661898E-04,B3X=0.000000E+00,A1X=1.146936E-05,A2X=7.326843E-06,A3X=0.000000E+00&quot;, &quot;AY=1.000000E+00,B0Y=9.597497E-03,B1Y=-8.430577E-03,B2Y=9.310668E-04,B3Y=0.000000E+00,A1Y=7.215003E-05,A2Y=1.361528E-06,A3Y=0.000000E+00&quot;, &quot;AZ=1.000000E+00,B0Z=1.290458E-02,B1Z=2.959575E-02,B2Z=2.331257E-03,B3Z=0.000000E+00,A1Z=1.164268E-04,A2Z=-2.166612E-06,A3Z=0.000000E+00&quot;], &quot;CALGYROGET&quot;: [&quot;AX=1.094973E+00,B0X=-2.672331E+00,B1X=-1.493178E-03,B2X=9.496510E-05,B3X=0.000000E+00,A1X=2.702698E-04,A2X=8.100271E-05,A3X=0.000000E+00&quot;, &quot;AY=1.080807E+00,B0Y=3.432283E-01,B1Y=7.219538E-04,B2Y=1.416728E-04,B3Y=0.000000E+00,A1Y=9.466633E-04,A2Y=-4.216283E-05,A3Y=0.000000E+00&quot;, &quot;AZ=1.085556E+00,B0Z=-9.442614E-01,B1Z=6.433576E-04,B2Z=-1.306087E-05,B3Z=0.000000E+00,A1Z=1.430541E-03,A2Z=-7.494539E-05,A3Z=0.000000E+00&quot;], &quot;CALPRESSGET&quot;: &quot;MT=1,RREF=4.5264760000e+02,RB0=7.7074756250e-01,RB1=-7.5541806250e-02,RB2=4.9886362500e-04,RB3=-1.4193179690e-07,T0=-2.4234620000e+03,T1=1.8815180000e+00,T2=-5.0111803130e-04,T3=4.7281500000e-08,ID=\\&quot;K244314\\&quot;&quot;, &quot;CALPRESSCOEFFGET&quot;: [&quot;A0=6.3850020000e+00,A1=-5.6274000000e-03,A2=1.6346411250e-06,A3=-1.6029240630e-10,B0=-2.6056009380e-01,B1=3.1699690630e-04,B2=-9.0774206250e-08,B3=8.5142393750e-12&quot;, &quot;C0=-1.2762860000e-03,C1=1.1561740000e-06,C2=-3.5109818750e-10,C3=3.5575718750e-14,D0=3.6002040630e-06,D1=-3.3359181250e-09,D2=1.0241850000e-12,D3=-1.0446648750e-16&quot;], &quot;CALROTACCLGET&quot;: &quot;M11=0.99144,M12=0.00991,M13=-0.03081,M21=-0.00921,M22=0.99564,M23=0.01131,M31=0.03451,M32=-0.01242,M33=0.98426&quot;, &quot;CALROTGYROGET&quot;: &quot;M11=1.00000,M12=0.00803,M13=-0.02685,M21=-0.00933,M22=1.00000,M23=0.01646,M31=0.02587,M32=-0.01599,M33=1.00000&quot;, &quot;CALECHOGET&quot;: &quot;CHA0=0.00,CHB0=-17.69,CHC0=0.00&quot;}</dd><dt><span>inst_model :</span></dt><dd>Signature1000</dd><dt><span>inst_make :</span></dt><dd>Nortek</dd><dt><span>inst_type :</span></dt><dd>ADCP</dd><dt><span>burst_config :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells :</span></dt><dd>28</dd><dt><span>n_beams :</span></dt><dd>4</dd><dt><span>ambig_vel :</span></dt><dd>5.066</dd><dt><span>SerialNum :</span></dt><dd>101663</dd><dt><span>nominal_corr :</span></dt><dd>67</dd><dt><span>cell_size :</span></dt><dd>0.5</dd><dt><span>blank_dist :</span></dt><dd>0.1</dd><dt><span>power_level_dB :</span></dt><dd>0.0</dd><dt><span>burst_config_b5 :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells_b5 :</span></dt><dd>28</dd><dt><span>coord_sys_axes_b5 :</span></dt><dd>beam</dd><dt><span>n_beams_b5 :</span></dt><dd>1</dd><dt><span>ambig_vel_b5 :</span></dt><dd>5.066</dd><dt><span>SerialNum_b5 :</span></dt><dd>101663</dd><dt><span>nominal_corr_b5 :</span></dt><dd>65</dd><dt><span>cell_size_b5 :</span></dt><dd>0.5</dd><dt><span>blank_dist_b5 :</span></dt><dd>0.1</dd><dt><span>power_level_dB_b5 :</span></dt><dd>0.0</dd><dt><span>wakeup_state :</span></dt><dd>clock</dd><dt><span>orientation :</span></dt><dd>AHRS</dd><dt><span>orient_status :</span></dt><dd>AHRS-3D</dd><dt><span>proc_idle_less_3pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_6pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_12pct :</span></dt><dd>0</dd><dt><span>rotate_vars :</span></dt><dd>[&#x27;vel&#x27;, &#x27;accel&#x27;, &#x27;accel_b5&#x27;, &#x27;angrt&#x27;, &#x27;angrt_b5&#x27;, &#x27;mag&#x27;, &#x27;mag_b5&#x27;]</dd><dt><span>coord_sys :</span></dt><dd>earth</dd><dt><span>fs :</span></dt><dd>1</dd><dt><span>has_imu :</span></dt><dd>1</dd><dt><span>beam_angle :</span></dt><dd>25</dd></dl></div></li></ul></div></div>"
             ],
             "text/plain": [
               "<xarray.Dataset> Size: 83MB\n",
@@ -903,6 +962,52 @@
         "ds_dolfyn"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "The resulting histograms help identify potential outliers and assess the overall distribution of velocity measurements."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 33,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAv0AAASOCAYAAABWoJNBAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQAA8WtJREFUeJzs3Qd4FOX6//+bQOiEAAFDlyaIFD3SRBGFICqIBVARQSnSLCCIiAXEjsdjB0FBuhQLagQLfkFBpB2agCIC0oSEEAihhZCw/+t+fv/Zs9mSbNpmd/J+XdeyYWdmZ3ZmNvnMM08p4nA4HAIAAADAtsIKegMAAAAA5C9CPwAAAGBzhH4AAADA5gj9AAAAgM0R+gEAAACbI/QDAAAANkfoBwAAAGyO0A8AAADYHKEfAAAAsDlCP4CA2bx5swwePFjKlSsn+/btC4o9//TTT5vtGTt2rATbvho0aJCULVs2R/tq8uTJEhERIffff3++bB8AT6mpqdKpUyepUKGCfPnll+wiBBVCP1AITJw4UZo2bSpFihTJ8NCw27NnT/ntt998LjtmzBipXr16huXatWsnu3btylaAvemmm+Rf//qXfPjhh3L69GkJFu+++67Znvfff1+Cwfr166Vjx45mX3300Udy5syZHL2Phv5Tp07JvHnzJDExMc+3E4An/V36448/SlJSkkyfPp1dhKBC6AcKAQ3uW7ZskYcffjjD69988418+umn0qxZs0wvGP7880+pWbOmMySvWrVKLrvsMr/X36RJE/n+++/l1VdflWDz2GOPSZkyZeTRRx/1Oc9ff/0VsDsTeiw0NDz//PO5ep9hw4aZizot6a9UqVKebNuyZcvy5H1QcDiG+f/9jYmJkcjISBkwYEA+rw3IniIOh8ORzWUAhKiUlBS59NJLJT4+3vx/xYoVcsMNN/i1bMOGDaVOnTry3Xff5Xj9S5culS5dupif//77b7MtoUD/ePfp08fvfZUXlixZIl27dg2afXXx4kVzDugFEEKTXqxr6fPMmTMLelMAFABK+oFCpGTJkhlKtD///HO/ltu5c6epzjNu3Lhcrb9EiRISavbs2SNz584tkGMVTLSa0O7duwt6M5ALEyZMYP8BhRihHyhkhgwZIqVKlTI/a5j1p874tGnTTB3ztm3b5mrdRYsWlVBy/vx5U8KvjfMCLZj2lVZtGjFiREFvBnLhvffek//7v/9jHwKFGKEfKGS0frcGWaWNzWbMmJHp/OfOnTPzaB3xwkQvhnr06CFr1qyRwkzvdGhvJMePHy/oTUEOffzxx1y0ASD0A4WRltpqLzxWw9zMmvYsWLDATL/vvvu89lTRt29f08i3ePHicskll5igvGHDhlxtn7Y10PepVauWqeaiz7oef973iy++kFtuuUUqV65stqlu3boycuRIr6FVe+3R3oRatGghDz74oPP1vXv3SvPmzU1DZ8uNN97o7L3o7bff9ugJyXpog2lXbdq0yTD9kUceyfF+0epY+n6lS5eWBg0amN59fN2hmD9/vtlmffiqstW9e3epWLGiach87bXXyssvvyz9+/c3DYlVbGysucPjWq0ns8969uxZmTRpktlG7bJQGxJfeeWVMn78eDl58mSmn017GNJuUy+//HJzzPVOh1YH0/eJjo52PrRtg7YvUMnJyaYEu3Hjxs6Gz3o89XysVq2a2X7LhQsX5J133pHWrVub7dL31vn0vP7vf//rs9epfv36ZahqtWjRImnZsqW5W6bHwL3Xpzlz5ph16D7V8/all17y+f3S6jbaJWu3bt3M9mWXrkuPj26ffvfuuecemTJlinTo0ME5jx5PbZNi7bNZs2Y5j58eG8vatWvlgQcecN4FPHjwoGlTovvq9ttvN+dUbr77ehH9wgsvmO+V7htdj7YReuihh3y2E/n555/NOVq/fn3zf92PH3zwgekYQJfXHskWLlzonD89Pd38PtPGtNbxmTp1aob31PV5+97qsocOHfL5vXZty6SN412nuVaZ1PfQ46r7xVfbCX+Omys9dnrc9Lus31ddrlGjRqa7YS24AfymDXkBFD4333yzJhHz+Prrr33O16JFC8fIkSM9Xn/vvfccderUcSxatMhx7Ngxx549exxDhgwx71esWDHHrFmzPJZZsWKFc51///23x/QLFy44Hn30UUfx4sUdb7/9tiMhIcERFxfn+Pe//21eCwsLc7z00ktet/Ps2bOOu+66y1GjRg3zeU6dOuXYvXu3o3379mZ9l156qePQoUPO+UeNGuWoUqWKc3seeOAB57SLFy+abdHlrek//vijeU0fOn3Tpk2Opk2bOqdfe+21ZnvdpaSkOAYPHmzmGT9+vOPkyZM+93Vm++qJJ54w+6B27dqOokWLOqctWLAgw3Kvv/66o1atWs7p+vnd/fnnn47y5cs7+vfv79i/f7/Z7oULFzqqVq1qllm2bJmZLz093Xze6dOnO9/P2gf6cKX7qkmTJo4rrrjCbLvu/61btzpuu+02s1x0dLTZZ97s2rXLUbNmTTNPbGys48SJE46VK1c6Lr/8cud69fMfOXLEkZiYaPbpoEGDHGXKlHFO1337zjvvOP+vj2bNmpn3P3/+vOPGG280r40dO9acr/q5Bw4caF7T/bp582bn9vz888+O6667LsN76TEfNmyYo0SJEuYcc5327rvvOtLS0hwPPvigOff1s7geoxdffNHr5y5btqxzno0bNzqy47XXXnOULl3a8cknn5j99ddff5l9VKRIEUf16tWd8+l26bG6/vrrzXr69u3rPH467bvvvnNcddVVGT6P7p8GDRpkeO2LL77I8Xf/+PHj5tzQbdNldXv1HLTOjcjISMc///zjnH/x4sWO5s2bO9et57we89tvv918Zus81Ye+51dffWW+/507dzbHR/e/vm7NM2fOHOd7nzlzxjFx4kTnNJ1XzymLfh79XljTO3XqZH5v6HfBoueT/n6yzqdz586Z9+jRo4c5l6xlZ8yYkePjZklOTnbExMQ4unXrZr4/+vtDv1/W7x49DgcPHszWuYPCi9APFFLff/+984+TBiJv1q1bZ/4Y6R8mV/pHWQPXzp07PZa58847nUFKw0B2Qv9TTz1lpk2ePNljmv4BtZadNGmSx3QN/OHh4Y7ffvstw+vLly93Lte7d2/n6xoi9A+qBg730G/RbbSW1W13p/tF/4DrdP2D78tjjz3mDKD+ct1X99xzj2PMmDGOpKQkM00DU+XKlc20q6++OsNy+rlSU1MdjRo18hn677vvPhP6XYOM2rJliwmrVuj3tu+9OX36tKN+/fqOiIgIE8xdabDs0KGDWbZixYoeAUWnayDU6RoiXe3du9ccU53mHogOHz7s+PXXX53hrmfPnmY/xcfHm/2t4e+5554z82rQ1HmioqIyvId+fg19Ou2hhx5yvq7voRdCek5Zn3v48OHmglPPGfX777+bbbK2TZfXi2MNjUoDnXXhoPtaP6e7559/3nyPNPzqMfOXbkPJkiXNBbI7vZj1Fh6ti1/381y3V8+rO+64w/lZBwwYYM4//e40bNjQXORYxy0n333dJn1dCxC8fQ6d9vLLLztf1wsAPQatW7c206pVq+bo06eP+b2gAVv98ssv5nzT6a1atTLb/8orrziPj26v9R3QC1F31gWHFga40wuDSpUqmel6cenNBx98YNZr0YtCvRhYtWqVz9Cfk+Omn0svPNy/q/o9K1WqlFlPx44dvW4j4I7QDxRiVtjShwY+dxoQtPTMlYYXLXnTQOSNBnLrPZ9++mm/Q78VODUguZciW7Q0XZfVoK13ACyff/65eb1Xr14ey2jJWGZ/HDU05zT0K/2MOl3X4a2kX4PAJZdc4pg6daojO1z31bRp0zymW0FK7354C4zdu3f3Gfo1yGmJrLft1eCW3dBvbcvDDz/sdbpepFjhXLfL1dKlS53v7W17unTp4pyudw/cWXdrNBhagc8KYZahQ4eaebT02p0VdvXOlzvXOwcbNmzwmK53oKzpWnLr7ttvv3VO14uEvLJmzRrznrrt7nQfaumvv6HfooHa2tb//Oc/GaZZ+zKn3/1bbrnFWWru7sorrzTT9E6Bu8cff9xM03DvXoCg9Hyz1qcXgN6CuTVdg7wrPcetaVq44W7EiBFmmoZ/vZB2165dO693M/Uc9RX6s3vcrG30dSe2ZcuWznXp3TIgKzTkBQox1x5Z3nrrLY861lpf1n1Ar59++kn2799vBttyrWttPbRetmXbtm1+b4vWadV6tddcc40UK1bM6zyDBg1y1h3Xxomuo88qbXDqLiIiwjTG1bq+3kbI1PrxufH444+bOsra4PnNN9/0Wg9fx0fo3bt3jtehI/S60/rQVn3fEydOZOtzRUVFSVpamtx1111y+PDhDNP0tezQz2btVx2p2RsdyM0a42Dx4sXyzz//OKe5jgatdcPdaX19i+5jX93Aat17rX9usdqsWPXa9bwaNWqUx/LWMu511pUeV4u2+3Cn9aot+v7uateu7fzZ2zHKKT1+6quvvjID3un3xnXa9ddfn6vudHXAOlfWvszpd1/bsWg7B/ffJf7uf23XoW1zcrP/3eu+63fK+g65/i6xaLsU6/ege9fG2n2xfj4dzTy737vsHDetx2+dv972t2ubmuz8rkXhRegHCjENotrgVWnDT2vQLusPof5hsQbTsli92WjjQP2j4/7Q0XuPHDliHtYfLX9oA1ylDdt8cR0cSxv5Kf3DuXr1avNzjRo1vC6njQe1sZ1rCLCEheXu16D+sR48eLD5WRt1uoc7vSDRBpKuATIvuIYLDd7Z+VwakK3BmrSx41NPPSVxcXHORoo6omh2Gl1bgcqfY6cXKbpei2tQ9zYOgNXAVc9FKzR5+5y+LhStwP7rr786j5O+pzbI1QbfehFibVd2u03VRriZsRrFqrzs9lUbtuoFlt6t18ac2qBVx1GwQmROBt9yPV987cucfvdvvfVW01BYGwS7XrRryLUa/gZ6/+uFjPU90M4K3C8otUG6jqprNQ53pduuvztd39+f7112j5u1v/Uiwdv+PnDggHN/6z4GskLoBwox7QVi6NChzj+KVom5/lHSkncNSe5/xKxwqCVz3kqfXB9aQuePU6dOydGjR7P8o6m9oVhhV//QWSVxVujNSQ8oeWH06NFmX+rncL1joqVvekGSH92dupZkewtMmdHQ9tprr5mSdQ1gEydONKWeetciq1523LkG9cyOnWuprHXsrBJX67PoeBDurJ519Dx1/cw5ocfnlVdeMXcP9MLjjTfeML3DhKLPPvvMeWfrjz/+MBdregHn2ptNXsvtd1+/42PGjDG96+h5M3v2bHMHoKBo6NcLCz3nrUIHK2zr3Si9O2gVMGjpvtI7ZHpBo70A5fdxs/a3fq+y2t/BNpgfghOhHyjkNJBat/a1OzwN0No9nf7R03DozgrWW7duzbNtcB0g7NixY5nOW758efNshQrX7hC1q82CoH90rX2lQcEKznoRpaG2YcOGEmw0fO3YscN0WamhQo+7dkWqgcxXF4q5OXZWqalyDYS6b6wLTy1R1YeeY3oRqgH9l19+kZtuuilD1ZGc+Pbbb001I32/lStXmq4+r7jiCglVVapUkR9++MGESOtz/P3333LvvfeacTg0nOa13Hz3NShruNW7iRs3bjTHVrtfLUh6Z7Bz584eVXy06s0TTzwhd999txnXxLW0f+nSpWY5vXuY38ctP37XonAj9AOFnFbJ6NWrl/k5ISHB3G7WsKp/8KyqP66sKhZ6W961brY3VrWbrOh7WrfKt2/fnum8VsjXAKG032qrOsKyZcsyXVb/eGrf7vkVosPDw03g1/7gtVRZRzwO5kHNtLqBHm+9I2GFH60yoP2GZzZ2gyvtj9yS2bFzfT/r2Fl0fz377LNSvXp1GTdunKnyo1U3tLrD66+/LkuWLDH7Nqe0TrZWU9OQ+fXXX0vVqlXFLvROhbaL0HPN+lz6s/v4AXkhp999vful42DoxZseU+vCPRgMHDjQWU1NR57WC2H9fHoXQAtDdCwC66JFL0S1/UpOS/mze9ys/W1VQfNF75zphQOQFUI/AFOtw6KDCWlplrdGd6pVq1bmWeuhWgMieaO3rrU0yx8a2q1GbPrHS+sGe6PrtAbZsqplaBi86qqrzM+63ZmVUmugzOu69a7hV+vuKy0x1z/eWqKtAy8FG+siz6LVXfTuzpNPPukclMrXMfBWV9+q1qOl6b7oBaXSQbPcG11q9SQd1EirUWiVBi0N1osnrVKhVacyq6+fFX1vPZetAeZy817BQutza5Usi+5/rWOuF286uJlVTz2v5eS7r99X6y6NFaCDyW233WYKPvT80AsS3a/a/seqLmN1HqB3sbQwRO8SuX9/8uu4Wftb7wzoHSpf9KKZQbrgD0I/AFOlw+ohRku7dKROX3VttbTOugOgdbCtdgCutM6vtgfQ+qq+SnvdS5JdR7XURnTeaEmylrZpNQ3XxqbWevTWuAZvbw1btcRYG/K6Nw60tsNbybZrQNTRezPrRUZpuNH318a8WnKt+yCrxoi++FvS7mvezD6XhrJNmzZ5vK4j8lp3XFyr7WS2H7R03urxRxtrentfpVU61JAhQzzq/mspsF4UWNU9tCTYWyPJzPhq16DvazVQd22o7l6FwrUnlZwcg6zk5XupTz75xOM9tSqKnnfux8/1GLoeP/3s3j63r32Zk+++XoRbPfME4/7X/WJdjOjovXpXyfXunLZFsXql0otiLWxwbXye2Xq8rTM7x83q8Uvn1+o/3hq66/dq+fLlzoIPIDOEfgAepf2+SvmVhjFtBOo6r3Zdp6W8WkKs1UVatmwp9erVk6uvvjrDsq6NRLX6iyutftGjRw/zszYitkKiK70Y0MacH330UYYgqqVxVv1YbYSnFyzaG5GWrGnPF127djWh3/rD6soqIfNW7UdL6q3Go1oSrvQ9X3jhBa/7RrsVtEoBdfusqgM54bo97gEus3n9+VxKqy9oI15XVn1irXesF4IWrUJlsfaDVnPQgKS0q1JrHg1M7g2qdVs07OgdBa0G5UpLOfVYrVu3zpQOa5WHnTt3mlJ+DTla3SizxsXWBZjeKfBGQ6pVaqvnz/r1653tP7QrxC+//NL8X7su1bA7YcIEZzB23Xfu56tyvbj0doxcu6H0tryuS6sx6d2g7DZC1/2k9eLdWcfQvQcm6/jo90M/lx57PQesXm1cL2R97cucfPe18b3rRaXVIFa3X3vz0eWsdeo+0J6kLNb+97bv8mL/W6zvqd5l0rY5ru1PXEv7dfuyqtrjWuLu7buXneOmF9NWr1danUr3qd6J1e+KVp/S80cLa1yPCZCpLHvyB1Ao6AA8l112maNChQpmSPusjBs3zjkwjPtDBwJyHQxH31sHn3Ed9bNfv37mNddBlHS9N910k3P01rlz55qRTQ8dOuQYPXq0GZRLB+LyRgfvqVu3rtft0ZFY165dm2F+HXBnyZIlZkAwnadcuXKOn376yWMgnjZt2jjfRweA0tFJdXt8+eOPP8yAWd4GCvOHjrypo4nefvvtzvXqCJ5Hjx41+0qn62i0OpiUNV1HDT1+/LhZXgfq0sGG9PPoNB2E67PPPstwTJs3b26mNW7c2PHVV1+Z46Cj3+qowjqa6jfffJNhmxITE50jD+v+0v1www03ZBglVPev7mdrhGcdzEpH6tXXdRAhHQTN237TgbusUXcze+iIv++//36GQdemT5/unK4DOOnx1HW6e+SRRzK8l57jOmKvDr71xBNPOF/XkWbffPNN87n279/vHDhKHxMmTDDrtAap0s/iej7rOnQUWV3WOt+HDRvmnK4DVOlxcz3fy5Yt65y+ceNGv8+RzZs3m2V0wDMdbGvTpk1m23788Udzfuqge9b5YJkyZUqGfaWD4On+04Hw9Bhcc801zul67urndx8FNifffdW1a1fndN1m3f+6DQsXLjTnnOt2ffrpp2abduzY4RwtWR+6rdax1en6fXfdZh2NV89T6zuix8caIVgf/fv3d46W7I0OtqXnvo4G7E5HAdbfR02bNs30uOjAXK77Rkfh1u20BhvMyXHT772OZOxtX+v76GjTgL8I/QAyjMo5cuRIv/eIhmT9g65/EDVE6XD3EydONKPQunIdmt79ERsbm2Fe/aM9c+ZMEx70fTVsajjV7XIfxded/gF96qmnHPXq1TN/wPUPqQYvb3/IrdF93R+tW7fOMJ+OdNm2bVsTCGNiYrIcWVX/aJcsWdLxyy+/OHJC90dm++qZZ57xOV33T+/evb1O01GB3UO/exDW0XK3bt3qc7t0v0ZGRpoAlZSU5DGPBhS9OGvUqJEZobhy5cqO6667zvHRRx+Z4OSLjlyrgU9DUnR0tNnXerHi7XNYIce6WHN/6Iix7nTdGu71YkXfWwO4NQL1tm3bHNWrV3fUqlXLnHfuI7m6PzS4vfXWWz6nz58/37F48WKf011HO37++efN9tx2221eR1X2xQqPrg/dH3p8nn32Wa8XPnqhMnz4cLOf9eL4448/Nq+/+OKLPrfVfUTZnHz3lV646zmj54NebNxzzz3O77IGXh31Vs8ZvWhTY8aM8blN+l76OXxN11FvMzs+f/31l9fPo6PrDhw40Ofn1RF69SLRFw32vtapnyenx03pPtVRkvUiVL9Xug+1cGT58uU+twfwpoj+k/m9AACAv7Sqi/Y/7jpaJnzTaiY6SJY2svY28rDW9dZ59uzZY9pMaINKa0AnAID/qNMPAHlE6+VqvfFg7qYz2GjDa+2y0FvgV9oQWhtOauPyvBigCwAKK0I/AOQR7f1DGxe691oE77QRrTbe9Wc0Ub2g0sHj2LcAkDOh32ExABQA7U1DS6e1xw/tylD7+tbQrz0PlS5dmmPiB2swLx34SHvO0e48tfcX14G4tHeZVatWmX7htQeazHqWAgD4Rp1+AMgBHSXT6p/eMnz4cDMwF/yj3ShqX+SxsbEZqvNodR/tHlLvmuhoo1Yf6dpVak7HPQCAwo7QDwA5oH2Aa2DVfuvr168vTzzxBFVPckhL8rXx86+//ir79+83+1bHSGjQoIF06NDB9I3u2t87ACD7CP0AAACAzVGnvxDROrM66qT2hEEPGAAAAKFJe9zXKpLVqlWTsDD/+uUh9BciGvhr1qxZ0JsBAACAPHDw4EGpUaOGX/MS+gsRLeG3TpCIiIiC3hwAAADkQHJysinItbKdPwj9hYhVpUcDP6EfAAAgtGWnujaDcwEAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDm6LITAAAgC3FxcZKUlOTXfoqMjJTo6Gj2KYIKoR8AACCLwN+l252SfPqMX/spomwZWfL1YoI/ggqhHwAAIBNawq+Bv1GnvhIRVTXTfZV87IjsXDbbLENpP4IJoR8AAMAPGvgrVK3NvkJIoiEvAAAAYHOEfgAAAMDmbB36v/vuO7n22mslIiJCoqKipHfv3vLPP//4nH/37t1y7733Sp06daRu3boyePBgOX78uM/5HQ6HTJ06VZo2bSr16tWTli1bypdffpnpNgViHQAAAEChCP2zZs2SW265Rfbt22eCc2JionzyySdy/fXXy9mzZz3m37Bhg7Ro0UKqVq1qgvnvv/9uwnibNm0kPj7eY359zz59+sgLL7xg3nfPnj3y5ptvyn333WeevQnEOgAAAIBCEfoPHDgg77//vmzZssWU7CcnJ8sHH3wgRYoUkb1798q0adMyzH/q1Cnp3r271KxZU/7zn/9I0aJFpWTJkvLRRx+Z5fv37++xjnfeeUfmzZsnb731limFV+3atZMRI0bI6NGjZe3atQFfBwAAAFBoQv///d//yZIlS6R58+bm/xr2hwwZIvfff7/5/59//ukRrg8ePCh9+/aVsLCwDINrdO3aVZYuXWqqCrkGeC19L1++vNx1110Z3ktL5i9evGiCeaDXAQAA/O97f+fOnX49tMAwPT2dXYuQZssuO/v16+f1da1GM2fOHLnyyiszvK6l6apt27Zel1m0aJEpkb/55pvNaxrQT5w4ITExMVKsWMZd2KhRIxPU161bJ9u2bXOW0AdiHQAAIO8H20o9nyKJx5MkLS2N3YuQZcvQn9mXvH79+qZBr0Wv3vUqXmnDWndWoP7pp5+cr+ldBF/z612FJk2ayOrVq2XFihVm+UCsAwAA5P1gW+rwrq2SEPsxpf0IaYUm9Gu9fi09/+KLL6R06dLO1zdv3myetTT9kksu8VhOq98obXCrbQVq1arlXKZGjRpe12Uto20KArUOAACQP4NtnUw4zK5FyCsUoX/Xrl2mHrw2nr1w4UKGaQkJCeZZu/V0rWtv0Wo0lmPHjplAbi1jBW9fy+j8gVqHN+fPnzcP1wsfAEBg7zBrqbK/9Hd+dHR0vm4TgMLJ1qH/5MmTpjHs9OnTzc+qdevWpvvLnj17mv9rV57KtfTflWtIT0lJydYy2Z0/N+vw5tVXX5UJEyb4nA4ACJ564yqibBlZ8vVign+IS0u7YKr2+oMLPQSKrUO/loZr95gafj/77DN58sknTfeYAwYMkA4dOkilSpWkePHizj7xvUlNTXX+XLFiRfOsy2hjnqyWcZ0/v9fhzdixY2XkyJEZSvq1y1AAQPDVG08+dkR2LpttlqO0P3SdO5Uk8XFxMmz4KAkPD89yfi70ECi2Dv0WDdA6oJUOzKWNXvUXqjaU1e4zrV+sZ854L4lxvS2ro/oqXUav4LNaxnX+/F6HNyVKlDAPAEDw1xuHPaSmnBUJKyoNY/pIVLXMjzsXeggkW/bT74s2ih00aJD5+fDh/9cop1mzZs4Q7W2kXmuk3OrVqzsDtrWM9R6+lrHGCQjEOgAAQPAoVynaXOxl9vDnDhCQVwpV6FfXXXedea5ataozXFs///777x7z79692zzfcsstztc6d+5snnfs2OExv1bHserx3XrrrQFbBwAAAOBLoQv92qBXq7xYoVr7vB84cKD5eeXKlR7zr1mzxjxr9SDLvffea3ri0WnuA3Vs377djKarVYm05D5Q6wAAAAB8KXShX0fkHTNmTIZGUo8//rgpiddprrQ7TO3b/6abbpIbb7wxQ0v7p59+2vSr/80332RYZtasWSbkv/LKKxleD8Q6AAAAgEIT+jVAawn4888/7+zHXnuuGTx4sFx++eUyfvz4DPNXqFBB5s6dK3/++acJ0lp9RrvM7NWrl1x66aUeQV098cQTpmqNPuuAWurzzz+X9957T9566y259tprA74OAAAAoNCE/i5dupiBuF566SWpU6eOtGvXznRd2b9/f3n77be9DpClXXhq1ZuffvpJ6tatawJ1mzZtZP369VKlShWP+fX9v/zyS9MDUMeOHaVevXrywQcfyLJly2T48OFetysQ6wAAAAAKRZedGohzEopbtGghP/zwg9/za/+748aNM49gWgcAAABg+5J+AAAAADYv6QcAAIVPXFxchgEvfdFur9PT0wOyTUCwIPQDAABbBP4u3e6U5NPeR7J3lXo+RRKPJ3l0iQ3YGaEfAACEPC3h18DfqFPfLEe6PbxrqyTEfkxpPwoVQj8AALANDfwVqtbOdJ6TCYcDtj1AsKAhLwAAAGBzhH4AAADA5gj9AAAAgM0R+gEAAACbI/QDAAAANkfvPUAh5u9ANio1NVWKFy/u93tHRkZKdHR0LrYOAADkFUI/UEhlZyCbtLQLcuzoUal8SbQULVrUr/ePKFtGlny9mOAPAEAQIPQDhVR2B7KJj/1YGnToLVHVMu//WiUfOyI7l80266C0HwCAgkfoBwq57AxkU65SdJbzAgCA4ENDXgAAAMDmCP0AAACAzVG9B0C+0Ma/e/fu9WteevoBkNsexvT3TXp6OjsS8IHQDyDPnTuVJPFxcTJs+CgJDw/Pcn56+gGQmx7GVOr5FEk8niRpaWnsTMALQj+APJeaclYkrKg0jOmTZW8/9PQDILc9jFm9jCXEfkxpP+ADoR9AvqG3HwCB6GHMtZcxAN7RkBcAAACwOUr6ARuh0VvhPJY0hLYPGsADyC+EfsAmaPRWeI8lDaHtgQbwAPIToR+wCRq9Fc5jSUNo+6ABPID8ROgHbIZGb4XvWMJeaAAPID/QkBcAAACwOUI/AAAAYHOEfgAAAMDmqNMPIKS6KVR0UQnALvj9h0Ah9AMIqW4KFV1UArADfv8hkAj9AEKmm0JFF5UA7ILffwgkQj+AoEA3hQAKK37/IRBoyAsAAADYHKEfAAAAsDmq9wBAiKP3DwBAVgj9ABDC6P0DAOAPQj8AhDB6/0CoiYuLk6SkpCzn07E70tPTA7JNQGFA6AcAG6D3D4RK4O/S7U5JPn0my3lTz6dI4vEkSUtLC8i2AXZH6AcAAAGhJfwa+Bt16isRUVUznffwrq2SEPsxpf1AHiH0AwCQDVRPyT0N/BWqZj4Y38mEw3mwJgAWQj8Q5AgYQPCgegqAUEXoB4IYAQMILlRPARCqCP1AECNgAMGJ6ikAQg2hHwgBBIycD0YVGRkp0dHR+XJcAAAIFQEP/c8++6y89NJLWc735ptvypAhQ6R06dIB2S4A9hyMKqJsGVny9WKCPwCgUAt46F+0aJFfoX/o0KHy3HPPyRtvvJHjdTkcDvnwww9l8uTJ8ueff5oLiHbt2pn3bdGihddlNm3aZKb//vvvUrRoUenevbs8//zzUqpUKa/zp6ammguUGTNmmL6Ea9SoIS+++KJcf/31PrcrEOsA7Co7g1ElHzsiO5fNNtWkCrq0398G2YpBiQAAhaJ6j4bcNWvWyNy5c3MV+gcPHiwfffSR+VnD9YkTJ+Trr7+Wb7/9VhYsWCB33XVXhvljY2OlZ8+e8sorr8iSJUvk5MmT0qVLF+nYsaMsW7ZMypQpk2H+8+fPyy233CLx8fFmeq1ateTTTz+VmJgYmTdvnnkvd4FYB1AYhNJgVNlpkK0YlAgAEHKhf9WqVfLwww/Ljh07nK9pAPdHgwYNcrxeDfaLFy+WWbNmyZ133mlK0TVkP/TQQ5KQkCD9+vUzJeVRUVFm/oMHD0rv3r2lQ4cOMnLkSPNa+fLlZfr06XL55ZfL6NGjzR0DV2PGjJEVK1bIunXrTBhXGsJ1vfr+ejehTp06zvkDsQ4Aod0gWzEoEQAgr4VJPtPqNFu3bpUXXnghQ7WbzB4lS5aUq6++WubMmZPj9c6cOdOUjPft21fKlSsnxYoVk9tvv13mz59vpicnJ5tSf8uECRPk1KlTJki7atiwobRs2VKmTJkif/zxh/P1ffv2yaRJk6Rx48bSqlWrDMv06dNHzpw5I2PHjs3weiDWASD4G2Rn9ShToXJBbyoAwGYCUr2nSJEi8swzz0jVqlVl4sSJpn59IC42rrzySo/XtRrNVVddJZs3bzYl/urChQumyoxq27atxzJt2rSR9evXy7Rp0+Q///mPeW3hwoWmfr23+Vu3bm2etTQ+MTFRKlWqFJB1IHQw4BYAALBtnf7+/fubgBoIjzzySKbVhjT0165d21kFSUv+S5QoIdWrV/eYv2nTpuZZq9lYtKqQqlu3rsf8FStWNO/zzz//yOrVq6Vbt24BWQdCAwNuAQAA2zfk1Xrr/rrpppvkhx9+yPNtOHbsmAnfN998s/m/XgAob2Hc6udbbdu2TdLT002bBGsZ7UnH1zIayLds2WICeSDWgdDAgFsAAKDQ9N6jdfe11P/cuXPmZ1daFWblypWyfPnyPF/v2bNnTc9AAwcOdAZtq5qP9X932thWaVUb7W1Hu/48ffq0X8voBUag1uFOe/7Rh0XvNCB4MOAWAACwbejXIDtixAjTX782RA00rTOvDXtdGxZbVY58DQQWFva/9s4pKSnmQsWS1TI6f6DW4e7VV181jYcBAABQuAU89GvPNV988YUp3dcqNtplpvas405Lxl2Db17Q4P3yyy+bbjy1TrylePHi5tn9joPruAEWXU574LFktYy1nkCsw5327GN1DWqV9NesWdPrvAAAALCvgIf+7777zjzr6LL333+/zz77tU977coyL2kf/dqmwKrLb7FG6vR158EaRVMHztLuRMPDw02I19Cd1TLWOACBWIc7vajSBwAAAAq3fO+n3502StXGrA888ECmg3RpibT29pNXdARcHdzqiSee8JjWrFkz83z48GGvy+pouKp58+bmWbdb+87PzjKBWAcAAAAQFCX948ePlwEDBpgGtb7qqlvyqkcaHeRLxwbQAbu8ufHGG02p+tGjR02jWPeS8927d5vnW2+91fla586dTa85riMNW/Q9tDGultq3b98+YOtA8Pe7r/bu3Wt6aAIAALBt6L/33ntN6NG69frwReux33fffT57pvGXth/46quvZMGCBWaQMFcavLQUXe8q3HPPPebiQHsNuuuuuzLMp739aKPZu+++2/maXrj8+9//NvO70/lV9+7dnXX5IyIi8n0dCP5+91Xq+RRJPJ5kemoCAACwZei3es3R/ve1saq3+ugahtauXSsnTpzI1bq+/PJL02hXewpybyysQU3r92vXnRr69Q6EXiDMnj07QyDfvn27bNq0SQYNGmQG9bLoz/ralClTTGm86+i/us5SpUqZ93QViHUguPvdV4d3bZWE2I8p7QcAAPYN/dr3vo5OqyX5Gzdu9DqPlsjrdPeS+eyYN2+ePPjgg1K2bFmPAbG0caxecGjY1wCu6tWrJ1OnTjXLzJ071zQyPnDggHm+9tpr5a233vJYxxtvvCEbNmyQIUOGyNKlS6VChQry3nvvSWxsrFm/+0i6gVgHgrvffXUywXsbDQAAANuE/nHjxklMTIz06tVLLr30UtNLjXu4137ntaTfW7UWfyxZskT69OljLhwyq2et2+C67t69e0uVKlVM6blup7Y50C5GH330Ua9VaLQ+/YoVK+S5556TFi1amOo5TZo0MSHdarjrLhDrAAAAAAo09Hfo0MHUQ9dS6sxofftLLrkkR+vo0qWLXLx4MUfLdurUyTz8pQN9vf322+YRTOsAAAAACqzLTjVx4sQs6zNrSfbPP/8csG0CAAAA7KpAQr/WQ8+sj371+OOPy+WXXx6wbQIAAADsKuDVe7IacEsb2e7Zs0fWr19vutnUbjsBIKfS0i6YboL9ERkZ6Rw9GwAAOwl46NcBsqzeefwZRZfQDyCnzp1Kkvi4OBk2fJTpNCArEWXLyJKvF/sd/P0dlI0B2WBnDE4IhIaAh35r0Kk2bdp4reKjf0BnzJghI0aMyFWXnQCQmnJWJKyoNIzpI1HVMu9ONfnYEdm5bLb5HeRP6M/OoGwMyAa7YnBCIHQEPPRXrFhRPvzww0zn0W4ptRGvhn8AyK1ylaL9GkMhvwZlY0A22BWDEwKhI+Chf82aNVnOM3ToUDNS72WXXSZjx44NyHYBQH4NysaAbLA7BicEgl/AQ3+DBg2ynKdYsWJSqlQpmTx5MqEfAADg/0fnBAipOv1Z3SrUsB8fHy/ly5cv6M0BAAAoFJ0TwN4CHvqz6p/fVa9evfJ1WwAAAEJFfnZOAPsLeOjPqqtOrdZTu3Zt6dGjh4wbNy5g2wUAAFBYOyeA/QU89Gs3nD/88IN06NCBLjkBAAAAO4b+Fi1aSMeOHQO9WgAAAKDQCnjoX7duXYb/Hzp0SA4cOCARERFSv359KVmyZKA3CQAAALC1Auu958svv5Tx48fL9u3bna9p4L/ttttkwoQJ0rBhw4LaNACFVHa6wtP50tPT832bAAAI2dD/7LPPyquvvurRqPfcuXOyaNEic0EwdepUeeCBBwpi8wAUQtntCi/1fIokHk+StLS0gGwfAAAhFfpjY2PllVdekYoVK8rAgQOlS5cucvnll0uFChXMH8+DBw/K0qVLZcyYMdK4cWNp2bJloDcRQCGUna7w1OFdWyUh9mNK+xESd6ZUZGQkXTcChVjAQ/8777wjN9xwg3z22Wcm+Lv34a/1+h977DFp0qSJTJw40cwHAMHWFd7JhMMB2R4gL+5MKQZqAgq3gIf+3377zdTjdw/87rRLzxEjRgRsuwAAsOudKQZqAhDw0F+5cmWpUqVKlvOdPn1a/vnnn4BsEwAAoYhBmgD4K0wKIPRnVQfx4sWL8vDDD0uNGjUCtl0AAACAXQU89A8ePFi6du0qK1eu9Jh28uRJ02vPVVddJXPnzpV+/foFevMAAAAA2wl49Z5evXrJjz/+aBrzVqpUSWrVqiVFihQxVXkSEhJMN5766NSpk2nQCwAAACDESvrV9OnTZcqUKabHgc2bN8umTZskPj7eVOvRAbqeeuop+eabbyQsrEA2DwAAALCVAhuRd9CgQaaf/hUrVsjvv/8uZ8+elXr16klMTIzpSxgAAABACIR+7Z7TW0PeqlWrmp+1JL9jx47mobR6z+LFi6nLDwAAAOShfK0/8/rrr5tGufro3r27rF+/XsqWLetzfr0gaNCggemfX+v1AwAAAAjy0D9nzhwT8vv06WMG5NLqPOXKlct0meuuu0769u0rzzzzTH5uGgAAAFBo5Gv1np9++klatmwpM2fOzNZy//rXv2Tp0qWyY8cOueKKK/Jt+wAAgKe4uDhJSkrKctfouDvp6ensQqCwh37ta//FF1/M0bL9+/eXiRMnyjvvvJPn2wX4gz96AArr774u3e6U5NNnspw39XyKJB5PkrS0tIBsG4AgDf1bt26Va665JkfLVqtWzWtDYCAQ+KMHoLDSEn4N/I069ZWIqP/X8YYvh3dtlYTYjyntBwp76D9zJutSgsxobz5AQeCPHoDCTgN/haq1M53nZMLhgG0PgCAO/ceOHTO98OiIu9mVmpoqBw4cyJftAvzFHz0AAGAH+dp7T+3atWX16tU5WlYb8lapUiXPtwkAAAAobPI19Hfu3FkmTJiQ7eW0JwDt479Vq1b5sl0AAABAYZKvoX/QoEGycuVKGTJkiN8t+7U60LBhw2TdunVyzz335OfmAQAAAIVCsfyu3qNddj711FOmz/7nnntObr31VqlQoYLX0v3ly5ebQbk2btxoBum6/fbb83PzAAAoNNLSLph+9bNC3/uAPeVr6FdPPvmkbN68WRYuXGhG2g0LCzMDbl1yySUSFRVlGuwePXrUdM+ZnJxsSvovvfRSM5ovAADIvXOnkiQ+Lk6GDR8l4eHhmc5L3/uAPeV76Ffz58+XFi1amFJ8Dfka8N179NGwr9q1a2fm1376AQBA7qWmnBUJKyoNY/pIVLXMu+Gk733AngIS+tWoUaPkrrvukvfff1+++eYb2b17tzPoR0REmLA/YMAAueOOOwK1SQAAFCrlKkXT9z5QSAUs9Ks6derIf/7zH/M4d+6cnDhxQkqVKuW1jj8AAACAEAz9rjTs6wMAAABACHfZCQAAAKDgEfoBAAAAmys0oX/JkiXStm1bmTlzZqbzbdq0Sbp06WLaH9SvX1/GjBlj2h/4or0Rvfbaa9KwYUOpV6+etG/f3gxIVtDrAAAAAApN6F+0aJG0bt1aunbtKmvWrMl03tjYWHNh0LFjR/n777/NIGGrV682/z9z5ozH/OfPn5ebb77ZjCmwbNky2bNnjzzyyCMSExMjn376aYGtAwAAAChUoV/HB9BS8QYNGmQ638GDB6V3797SoUMHGTlypHmtfPnyMn36dFm7dq2MHj3aYxktoV+xYoXMmDFDatWqZV7r2bOn9OjRQ/r162dCfaDXAQAAABS60F+3bl0pUaKEXHXVVZnON2HCBDl16pQJ0q60Sk3Lli1lypQp8scffzhf37dvn0yaNEkaN24srVq1yrBMnz59TKn92LFjA74OAAAAoNCFfkvJkiV9Trtw4YKzqoxWvXHXpk0bM5DYtGnTnK8tXLhQ0tLSvM6v1YnU4sWLJTExMWDrAAAAAAp16C9SpIjPaatWrZLk5GRzR6B69eoe05s2bWqetZqNa8Ng606Cu4oVK5r30Qa4Wl8/UOsAAAAACnXoz8zmzZvNs7cwriIjI83ztm3bJD09PcMyNWrUyHSZLVu2BGwdAAAAQFCNyBtMEhISMoRod9rYVmlVm5MnT0rp0qXl9OnTfi1z7NixgK3DW88/+rDonQYAQEZxcXGSlJTk127Zu3evs2AGCHZpaRfMOesvzRvR0dH5uk0oOIR+EWedeA3a3oSF/e+GSEpKSoY+9bNaRucP1Drcvfrqq6bxMADAd+Dv0u1OST7t2WWyN6nnUyTxeJIpoAGC2blTSRIfFyfDho+S8PBwv5aJKFtGlny9mOBvU4R+ESlevLjZGdqQ1hutN+9al1574LFktYzOH6h1uNOefayuQa2S/po1a3qdFwAKIy3h18DfqFNfiYiqmuX8h3dtlYTYjyntR9BLTTkrElZUGsb0kahqtbOcP/nYEdm5bLb5TlDab0+EfhHnye1tcCxl3fYtU6aM6QVIr5g1xGvozmqZqKiogK3DnTYa1gcAIHMa+CtUzToYnUw4zK5ESClXKdqvcxv2R0NeEWnWrJnZGYcPe/9lHh8fb56bN29unosWLWr6zs/OMoFYBwAAAOANoV9EbrzxRlOqfvToUa+NYnfv3m2eb731VudrnTt3Ns87duzwmF/fQxvjaql9+/btA7YOAAAAwBtCv97WjYiQe+65x+yQlStXeuykNWvWmEazd999t/O1AQMGmNd8za+6d+/urMsfiHUAAAAAhTr0Wz0t+Opqbfz48abUfPbs2Rle3759u2zatEkGDhwoDRo0cL6uPw8aNMj0q+/eT/6sWbOkVKlS5j0DvQ4AAACgUIZ+7f7yt99+Mz+vXbvW6zz16tWTqVOnmlFw586da147cOCA3H///XLttdfKW2+95bHMG2+8IVdffbUMGTJEjh8/bnrZeffddyU2NtYEe/eRdAOxDgAAAKDQhf57773X9G6jpeVq2rRpUqlSJZkyZYrHvL1795alS5fK5MmTTZjW+vV9+vSR5cuXe+0rX0vtV6xYIW3atJEWLVqYknmdd8OGDdKjRw+v2xOIdQAAAACFqsvOBQsWZGv+Tp06mYe/ypUrJ2+//bZ5BNM6ACAvRulkhE4AsAfbh34AQM5H6WSETgCwB0I/ABQi2RmlkxE6AcA+CP0AUAgxSicAFC62b8gLAAAAFHaEfgAAAMDmCP0AAACAzRH6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANgc/fSj0IiLi5OkpCS/5t27d6+kp6fn+zYBAAAEAqEfhSbwd+l2pySfPuPX/KnnUyTxeJKkpaXl+7YBAADkN0I/CgUt4dfA36hTX4mIqprl/Id3bZWE2I8p7QcAALZA6EehooG/QtXaWc53MuFwQLYHAAAgEGjICwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzdF7DwAAACQt7YIZnNIfkZGREh0dzV4LIYR+AACAQu7cqSSJj4uTYcNHSXh4eJbzR5QtI0u+XkzwDyGEfgAAgEIuNeWsSFhRaRjTR6KqZT6eTfKxI7Jz2Wwz8CWl/aGD0A8AAACjXKVovwaxROihIS8AAABgc4R+AAAAwOYI/QAAAIDNEfoBAAAAmyP0AwAAADZH6AcAAABsjtAPAAAA2ByhHwAAALA5Qj8AAABgc4R+AAAAwOaKFfQGAACQ1+Li4iQpKSnL+fbu3Svp6ekcAAC2R+gHAPiUlnbBBGN/RUZGSnR0dIEH/i7d7pTk02eynDf1fIokHk+StLS0gGwbABQUQj8AwKtzp5IkPi5Ohg0fJeHh4X7tpYiyZWTJ14vzPPj7W3Kv9CLlxMlkueLmfhIRVTXTeQ/v2ioJsR9T2g/A9gj9AACvUlPOioQVlYYxfSSqWu0s91LysSOyc9lsE87zMvRnp+TetfS+ZWRlqVA18+0+mXA4j7YSAIIboR8AkKlylaKzDM/5SS8iNPA36tQ3y5J7Rek9AHgi9AMAQoIGfn8uPii9BwBPhH4AQIGghx0gdIViI//CjtAPAAh4EEhISJBHhj8uZ1NSs5yXHnaA4BJMjfzhP0I/QholhUBoBgEryLfrPVIqXlIz03mpow8El2Bp5I/sIfQjZNEXNxC6QcAK8mUiq9DDDhCiCrqRP7KH0I+QlZ0ePSgpBIIrCNDYFgACi9AfIlJTU+XNN9+UGTNmmJEja9SoIS+++KJcf/31Utj506MHAQMAABRmhP4QcP78ebnlllskPj5eli1bJrVq1ZJPP/1UYmJiZN68edKzZ8+C3kQAAAAEsbCC3gBkbcyYMbJixQpTyq+BX2nQ79Gjh/Tr10/+/vtvdiMAAAB8oqQ/yO3bt08mTZokjRs3llatWmWY1qdPH5k/f76MHTtWFixYUGDbCAAAkFf9+tOnf/4g9Ae5hQsXmjr8bdu29ZjWunVr87x48WJJTEyUSpUqFcAWAgAA5F2//vTpnz8I/UFuyZIl5rlu3boe0ypWrCjVq1eXf/75R1avXi3dunUrgC0EAADIm+586dM//xD6g9zmzZvNs/bW4+sWmIb+LVu22CL0+zvYltLbhOnp6fm+TQAAIHD9+menKpCiOpB/CP1BLCUlRU6fPu08ob0pX768eT527JjXXn/0YTl58qR5Tk5OlkDSqkf6yIp+htFPPS1nz/1vmzOTmpoix0+clKMH/5ILWoqQiZPxh8ThuCgnjuyTMEfWFwrZmT9Y3jtYtiNU3ztYtoP3Zv+F0jkVLNsRqu8dLNsRTO+dcHC3xB05IkMeHSHhxbKuCqRKlSgub7z+qkRFRWU5b5EiRcThcPj1vtmZV2k160BVtbayXHa2T2dGkDp06JAeSfP48ccfvc5z3XXXmekPPfSQx7Tx48c7l+fBPuAc4BzgHOAc4BzgHOAcEFvtg4MHD/qdKynpD2LFixd3/uzrSk4H7bLq97vTXn1Gjhzp/P/Fixfl+PHj5ipUr16DmV7B1qxZUw4ePCgREREFvTkhi/3IfgwmnI/sx2DBuch+DPXzUXPhqVOnpFq1an6vh9AfxDTIa/DXYH/mzBmv81j1373d0ipRooR5uPJVTShY6clP6Gc/BgvOR/ZjMOF8ZB8GC87FgtmPVhVvfzE4VxArWrSo6Z9fHT582Os8Okqvat68eUC3DQAAAKGD0B/kOnfubJ537NjhteGrNs4tU6aMtG/fvgC2DgAAAKGA0B/kBgwYIGFhYbJy5UqPaWvWrDHP3bt3z1D/3w60WtL48eM9qieB/VgQOB/Zj8GE85F9GCw4F0NrPxbR1rz5ugbk2tChQ2XKlCmmz/4rr7zS+XqPHj1k6dKlsn37dq+DdwEAAACK0B8CtBGvVt8pVqyYCfkVKlSQ9957T0aPHi3z5s0z4R8AAADwhd57QoDW2V+xYoU899xz0qJFC1Pdp0mTJrJhwwZp1qxZQW8eAAAAghwl/QAAAIDN0ZAXAAAAsDlCPwAAAGBzhH4AAADA5gj9AAAAgM0R+gEAAACbI/QDAAAANkfoBwAAAGyO0A8AAADYHKEfAAAAsDlCPwAAAGBzhH4AAADA5gj9AAAAgM0R+gEAAACbI/QDAAAANkfoBwAAAGyO0A8AAADYHKEfAAAAsDlCPwAAAGBzhH4AAADA5gj9AAAAgM0R+gEAAACbI/QDAAAANkfoBwAAAGyO0A8AAADYHKEfAAAAsDlCPwAAAGBzhH4AAADA5gj9AAAAgM0R+gEAAACbI/QDAAAANkfoBwAAAGyO0A8AAADYHKEfQEjYvHmzDB48WMqVKyf79u2TYPD000+b7Rk7dqwE274aNGiQlC1bNkf7avLkyRIRESH3339/vmwfACDwCP0AMjVx4kRp2rSpFClSJMNDw27Pnj3lt99+87nsmDFjpHr16hmWa9eunezatStbAfamm26Sf/3rX/Lhhx/K6dOng+aIvfvuu2Z73n//fQkG69evl44dO5p99dFHH8mZM2dy9D4a+k+dOiXz5s2TxMTEPN9OAEDgEfoBZEqD+5YtW+Thhx/O8Po333wjn376qTRr1izTC4Y///xTatas6QzJq1atkssuu8zvvd6kSRP5/vvv5dVXXw26I/XYY49JmTJl5NFHH/U5z19//RWwOxN6LH788Ud5/vnnc/U+w4YNMxd1WtJfqVKlPNm2ZcuW5cn7wN44T4D8U8ThcDjy8f0B2ERKSopceumlEh8fb/6/YsUKueGGG/xatmHDhlKnTh357rvvcrz+pUuXSpcuXczPf//9t9mWUDBgwADp06eP3/sqLyxZskS6du0aNPvq4sWL5hzQCyDAF7041u/L//3f/7GTgHxAST8Av5QsWTJDifbnn3/u13I7d+401XnGjRuXqz1dokQJCTV79uyRuXPnFsixCiZaTWj37t0FvRkIci+++KKkp6cX9GYAtkXoB+C3IUOGSKlSpczPGmb9qTM+bdo0U8e8bdu2udrTRYsWlVBy/vx5U8Kfmpoa8HUH077S0tsRI0YU9GYgyH399dfy8ccfF/RmALZG6AfgN63frUFWJSUlyYwZMzKd/9y5c2YerSNemOjFUI8ePWTNmjVSmOmdjk6dOsnx48cLelMQxL799lu59957C3ozANsj9APIFi211V54rIa5mTULWrBggZl+3333eUzTXn/69u1rGvkWL15cLrnkEhOUN2zYkKsjom0N9H1q1aplqrnos67Hn/f94osv5JZbbpHKlSubbapbt66MHDnSa2jVXnu0N6EWLVrIgw8+6Hx979690rx5c9PQ2XLjjTc6ey96++23PXpCsh7aYNpVmzZtMkx/5JFHcrxftDqWvl/p0qWlQYMGpncfX3co5s+fb7ZZH76qbHXv3l0qVqxoGjJfe+218vLLL0v//v1NQ2IVGxtr7vC4VuvJ7LOePXtWJk2aZLaxQoUKpiHxlVdeKePHj5eTJ09m+tm0hyHtNvXyyy83x1zvdGh1MH2f6Oho50PbNmj7ApWcnCzvvfeeNG7c2NnwWY+nno/VqlUz22+5cOGCvPPOO9K6dWuzXfreOp+e1//973999jrVr1+/DFWtFi1aJC1btjR3y/QYuPf6NGfOHLMO3ad63r700ks+v18TJkwwXbJ269bNbJ8/pkyZ4vW8031j3ZVxn5abnqk0zF933XXmnNNzRbdV3++aa66RtLQ0M48eX21/ogUE6ueff3auOzIy0vleO3bsMOd/+fLlzXaeOHHCFEDo/6+//nqPXqZ0nqFDh0q9evXMMdACC/1u+2ooHIzHGMhz2pAXALLj5ptv1r9S5vH111/7nK9FixaOkSNHerz+3nvvOerUqeNYtGiR49ixY449e/Y4hgwZYt6vWLFijlmzZnkss2LFCuc6//77b4/pFy5ccDz66KOO4sWLO95++21HQkKCIy4uzvHvf//bvBYWFuZ46aWXvG7n2bNnHXfddZejRo0a5vOcOnXKsXv3bkf79u3N+i699FLHoUOHnPOPGjXKUaVKFef2PPDAA85pFy9eNNuiy1vTf/zxR/OaPnT6pk2bHE2bNnVOv/baa832uktJSXEMHjzYzDN+/HjHyZMnfe7rzPbVE088YfZB7dq1HUWLFnVOW7BgQYblXn/9dUetWrWc0/Xzu/vzzz8d5cuXd/Tv39+xf/9+s90LFy50VK1a1SyzbNkyM196err5vNOnT3e+n7UP9OFK91WTJk0cV1xxhdl23f9bt2513HbbbWa56Ohos8+82bVrl6NmzZpmntjYWMeJEyccK1eudFx++eXO9ernP3LkiCMxMdHs00GDBjnKlCnjnK779p133nH+Xx/NmjUz73/+/HnHjTfeaF4bO3asOV/1cw8cONC8pvt18+bNzu35+eefHdddd12G99JjPmzYMEeJEiXMOeY67d1333WkpaU5HnzwQXPu62dxPUYvvvii189dtmxZ5zwbN27067zQ/a771Tqv9VGpUiXH0aNHnfOsWrXKvH7ZZZc51qxZ43Gs/DV//nzzOfTz6T7bt2+f49VXXzX7yzoXlH52/blv377m9euvv955jui09evXm9dc99nOnTsd11xzTYbX3nzzTee6P//8c0f16tUdH330kfkdoN/d5557zvwO0HlffvnlDNsarMcYyGuEfgDZ9v333zv/YOkfS2/WrVvnKFKkiOOvv/7K8PrixYtN4NI/3O7uvPNO5x9ZvRDITuh/6qmnzLTJkyd7TJsxY4Zz2UmTJnlM18AfHh7u+O233zK8vnz5cudyvXv3dr6uwTE5OdkRGRnpEfotuo3Wsrrt7nS/lC5d2kzv0aOHw5fHHnvMGUD95bqv7rnnHseYMWMcSUlJztBeuXJlM+3qq6/OsJx+rtTUVEejRo18hv777rvPhH4N9a62bNligowV+r3te29Onz7tqF+/viMiIsIEc1calDp06GCWrVixouPgwYMe0/ViQafrBaSrvXv3mmOq0zQAujp8+LDj119/NeenTu/Zs6fZT/Hx8WZ/a3DTkGhdoOo8UVFRGd5DP7+GN5320EMPOV/X99ALIT2nrM89fPhwc8Gp54z6/fffzTZZ26bL68Wxhk2lFy5WqNR9rZ/T3fPPP2++R3phpMcsO/SiqnHjxs6L7B07djin6cWPhlbXi9zs0gCs76Hb5s7an+4XE/od8nbO6Xmrj0ceecS5P/v06eP45JNPTBBv1aqVo0KFCs6LQr1I0OOnwdzd448/7nwPvTB036ZgO8ZAXiP0A8gRK2zpQwOfO/0j3rlz5wyv6R82LW3WP5beaCC33vPpp5/2O/RbgVP/ePoqmdTSdF1Wg7aW/rmWCurrvXr18lhGS9ZLlSplpnfs2NFjuobmnIZ+pZ9Rp+s6vJX0awnkJZdc4pg6daojO1z31bRp0zym650KnaYln94CY/fu3X2G/oYNG5qg6G179aItu6Hf2paHH37Y63S9SLHCuW6Xq6VLlzrf29v2dOnSxTldg647625NtWrVnGHNCq2WoUOHmnkaNGjgsfwdd9xhpumdL3eudw42bNjgMV3vQFnTNcC6+/bbb53TNUDmtW3btjlKlixp3l/vyOl3U8O/XshqcM4NvXjT973yyis9pun5pvvd39Dv7VjrHT1XrsdLv+f/+te/vL7HkiVLnO+hF692P8aAO+r0A8gR1x5Z3nrrrQzTtH7twoULPQb0+umnn2T//v1msC3XutbWQ+tlW7Zt2+b3tmhdZe3qT+sKFytWzOs8gwYNctYdd+0lREefVdrg1F1ERIRpjKttF6ZPn+4xXesq58bjjz9u6vZqfeY333zTaz18HR+hd+/eOV6HjtDrTsdMUFq/XetGZ+dzRUVFmfrYd911lxw+fDjDNH0tO/SzWftVR2r2Rgdys8Y4WLx4sfzzzz/Oaa6jQWsbDHdaX99i1Rn31g2s1svWetwWq82K0nYKel6NGjXKY3lrGW0H4U6Pq0Xbfbhr1KiR82d9f3e1a9d2/uztGOWWDnqng+cprbOubTJ0hG2tY6510nND21KEhYWZdhvaza/rvg8PD5fbbrstV1326qB4rqzjpQ3HV69eLb///rvX3y862Jy33y92PcaAO0I/gBzRIKoNXpU2/LQG7VIaqvWPrDWYlsXqzUYH4NFA4P7Q0XuPHDliHrNmzfJ7W7QBrtLGwL64Do6ljQWVXihoSFA1atTwupw2ytXg4voH2qLBJjc0QA8ePNj8rA3+3P/w6wXJAw88kCFc5AXXUK/BOzufSwOy0pGVtaHiU089JXFxceY1DVUxMTHZanStvUD5e+z0IkXXa3EN6t7GAbAauOq5qPva1+f0daFohblff/3VeZz0PbWxpjYK1YsQa7uy222qNsLNjNU1rsqvbl/1vNbPYTWo1Ysk9wt1V8eOHTONuH09rP2tAd1qvK/ntQ7Mpueyda5pN76Z7XNvXM9JX8tav1/0M3n7/aIXA9bvl+XLlxeKYwy4IvQDyBHtsUJ7x7D+YFkl5lptUEve9Q+oe3i0wqGWmnkriXN9aGmhP06dOiVHjx7NMqxqTxlW2NU/+tYdCSuI+NsDSl4bPXq02Zf6OVzvmGhJpF6Q5Ed3p64l2d7CTGb0gu21114zJet610RLi/XOgd61yKqXHXeuQT2zY+daYmodO+suhvVZNEi6s3pd0fPU9TPnhB6fV155xQRjvfB44403TA9GoUz3iXapa1286+jNmX0PNMBrD0m+Hq53YfR3gBX8Dx48aC4mtPck/T2RXwNwWb9f9LzM6veLt4tAOx5jwBWhH0COaSC1brt/8MEHJkB/99135o+/hkN3VqDYunVrnu111wHCtCQyM9q9n7IuKFy7ytOuNguCBhBrX2k1Iis4azjSUKulpMFmzJgxpgtFDXUa1vW4a1ekzZo1k7/++ivPj51r142uF4O6b6wLT+1uUx96julFqIa3X375RW666aYM1cZy2vWkVjPS91u5cqXp6vOKK64QO9CLKL3w0wuAjRs3yrPPPpsn76t3p3QkZi1Rtwbm07uBGv5vvvlmvwb2y67c/H6x8zEGLIR+ADmmVTJ69eplfk5ISDB/5DWs3n333c7SQ1dW6Zr2me9aKuiNVe0mK/qe1m3y7du3ZzqvFfK1WorSvsOtqgK++u+2aJDQvt3zK0RrXWcN/NpXuJY46ojHwTyoWf369c3x1jsSnTt3Nq8dOHBA7rnnHr/7Hdd+0C2ZHTvX97OOnUX3lwbV6tWry7hx40yVH61WMXPmTHn99ddlyZIlZt/mlLar0GpqWkqto8ZWrVpV7EKrVumYFloqb9WT19Jt16ovrnQ8g/+/AxCvD91H7nSsB/0u63HQUK10LIdnnnkmzz+P9ftFS/zXrl3r9+8XOx9jwBWhH0CuaLUOizYCXLp0qc96wa1atTLPenvfGhDJmz/++EM+++wzv9avoV0H57GqJ2i7AG90ndYgW9Ytew2DV111lflZtzuzUmoNlHldt941/GrdfaUl5lqNQku0dTCjYGNd5Fm0KoTe3XnyySedAxb5Ogbe6upb1Xq0pNUXvaBUOmiWe4NILaU+dOiQaaehYU9Lk/XiadeuXabqVHbrjru/t57L1gBzuXmvYKOfSQet03NMg79W2dLGvfqZ9fXcjKKsFxPWHRjLrbfeaurVW+0zdOC+vGb9frG+r77oXSWrOqKdjzHgjtAPIFe0SofVQ4yOgqmjqOqIk95oVQvrDoDWwbb+8LrS+v7aHsC1pw330l73kmRtkGjRUV290ZJkrfahpY2ujU2t9WiPNBq8vTVs1RJjbcjr3nDP2g5vJduu4UFH782sFxmlVVD0/bUxr5Zc6z7IqqGgL9kZ4dPbvJl9Lr0g27Rpk8fr2vuLdcfFtepGZvtBS+etHn+0ZNbb+yqtdqKGDBniUfdfR0PWiwKrlFmrcLk2kPSHr3YN+r5WA3XXhuru1Um81VHPy1FW82PEVq3+pMFez22l7Uo++eQT01ZD78INHDgwV++vpefuPd7ocdHzRLlX77HOE9dzRPertzYGvo6XNrrXCxfrzp02Mve2L3VkX+vC387HGHBH6AeQp6X9mfX+oX/0tUTRdV7tJlBLebWEWKuLaHeB9erVk6uvvjrDsq6NRLX6iyu9Na+llUqrKlgh0ZVeDGi95Y8++ihDENWuPK26u9r7h16waG9EWir51VdfSdeuXU0w8lbX2ep5xlu1Hy2ptxqPakm40vd84YUXvO6bunXrOkvRdftyE7pctyerutPetj2zz2X14KONJV3pRZOqUqWKuRC0aBUqi7UftJtOre6htKtSax6tzuQe8nRbNIzqHQWtBuVKqxbpsVq3bp25M6RdeGovMlrKr42EtbpRZo2LrQswvVPgjV6gahi2zp/169c7239oN49ffvml+b92XapBdMKECc7Q6rrv3M9X5Xpx6e0YuQZmb8vrurQak5bUZ7cR+jfffCP//ve/zb5z/S40bdrUGZS11xptY5JTGqY1XLuzzhP3Xp6sc0Dbiujx0Pn0fLAa6bteLPs6Xkobw1sXhtrIXAsk9LPod097+Wrfvr15T+tiM5iPMZDnPHruB4Bs0sFxLrvsMjMy5tmzZ7Ocf9y4cRmGqXd96OA8Z86cyfDeOvCSNUiOPvr162decx2UR9d70003OUdvnTt3rhn1UkcWHT16tBmUSwfi8kZH/61bt67X7dFROteuXesxcq0O9KMDguk85cqVc/z000/mdVdt2rRxvo8OAJXVSKd//PGHGTDL20Bh/tARRHXU2ttvvz3DQEZHjx41+0qn62i0OtCQNX3QoEGO48ePOwdO0pGU9fNYo7V+9tlnGY5p8+bNzTQd0fWrr74yx0FHv9VRhXUk5W+++SbDNiUmJjpHHtb9pfvhhhtuyDCir+5f3c/WCM860JGO1Kuvt2zZ0gyC5m2/6cBd1qi7mT10xN/3338/w6Br06dPd07X0YD1eOo63bmOBKsPPcd1xFcdmOmJJ55wvq6j47755pvmc+3fv98MTGVNmzBhglmn0kGw9LO4ns+6Dh3lVZe1zvdhw4Y5p99yyy3muLme72XLlnVO37hxo1/nh6574cKF5njocdDj5kqPv+4n6331+E+ZMsW57f7S7531Hl27djWjH+uounpu6aB++j1wH2Dvu+++cy6j21epUiUzKrK1P13PaR2ledeuXT4H4vvoo4+c3033xxVXXGH2dSgcYyCvEfoB5InJkyebYeb9pSFZA4EGdP0Dq3+MJ06caEahdbVq1SqfYS42NjbDvPoHc+bMmebCQd9Xw4OGU90u95DhTv9gP/XUU4569eqZ8KrBRP8o//PPPz5H93V/tG7dOsN8Gkzatm1rwkJMTEyWo25q+NZRUn/55RdHTuj+yGxfPfPMMz6n6/7p3bu312k6KrB76HcPSTpa7tatW31ul+5XHe21f//+JgC60wsTvThr1KiRGaG4cuXKjuuuu84EuHPnzvn8zDqqqYb2Zs2aOaKjo82+1rDq7XO89957ZhlfgVBHi3an69bgpyFZ31vDmTUCtY5qW716dUetWrXMeac++OADn/t48+bNjrfeesvn9Pnz5zsWL17sc7rraMfPP/+82Z7bbrvN66jK3nz55Zce76kB3TJ+/Hiv69VRmHMa+q2HXszqd0ovQr2NnqxefvllE/Z1n7722mvm+zxnzhyf+0O31xc9Rvfee68Z/Ve/z3r+jR07NsPIy8F+jIG8VkT/yfv7BwCA7NKqLrNnzzZVEZA1rWKkAyhpo01vIw9rPWydR0dq1TYT2oBTe44CgMKIOv0AEAS0DrPWKQ7mbjqDjTa81u4VvQV+pQ2htQtPbVyeFwN0AUAoI/QDQBCYOnWqafjn3msRvNMGltp412qEmdUFlQ4ex74FUJjRIS0ABJh2iail09qvvHZjqoOcaejXnodKly7N8fCDNZjXrFmzTK8q2p2n9vzkOhCXdtG6atUqMyaE9g6TWc9SAGB31OkHgADTLgStLgMtw4cPNwNzwT/axWHv3r0lNjY2Q3Uere6jXcPqXZMjR46Y13XgMO0qNafjHgCAHRD6ASDAtH9uDazab339+vXliSeeoOpJDmlJvjZ+/vXXX2X//v1m3+oYCQ0aNJAOHTrIQw89JLVq1crbAwgAIYjQDwAAANgcDXkBAAAAm6MhbyGijd10KHHtwo6u6wAAAEKTDrOlbZuqVasmYWH+leET+gsRDfw1a9Ys6M0AAABAHjh48KDUqFHDr3kJ/YWIlvBbJ0hERERBbw4AAAByIDk52RTkWtnOH4T+QsSq0qOBn9APAAAQ2rJTXZuGvAAAAIDNEfoBAAAAmyP0AwAAADZH6AcAAABsjtAPAAAA2ByhHwAAALA5uuwEAASduLg4SUpK8jk9MjJSoqOjA7pNABDKCP0AgKAL/F263SnJp8/4nCeibBlZ8vVigj8A+InQDwAIKlrCr4G/Uae+EhFV1WN68rEjsv3b6bJp0yapW7eux3TuAgCAJ0I/ACAoaeCvULW2x+vnTiVJfFycDBs+SsLDwz2X4y4AAHgg9AMAQkpqylmRsKLSMKaPRFWr7XEXYOey2eZuAXX+AeB/CP0AgJBUrlK01zsBAABPdNkJAAAA2FzIhv4lS5ZI27ZtZebMmZnOpw29unTpInXq1JH69evLmDFj5Ny5cz7nT01Nlddee00aNmwo9erVk/bt28vKlStDbh0AAABAyIb+RYsWSevWraVr166yZs2aTOeNjY01FwYdO3aUv//+WzZu3CirV682/z9zxrMruPPnz8vNN98sc+bMkWXLlsmePXvkkUcekZiYGPn0009DZh0AAABASIf+Fi1amFLxBg0aZDrfwYMHpXfv3tKhQwcZOXKkea18+fIyffp0Wbt2rYwePdpjGS09X7FihcyYMUNq1aplXuvZs6f06NFD+vXrZwJ3KKwDAAAACOnQr30ylyhRQq666qpM55swYYKcOnXKBGlXWqWmZcuWMmXKFPnjjz+cr+/bt08mTZokjRs3llatWmVYpk+fPqZEfezYsUG/DgAAACDkQ7+lZMmSPqdduHDBWVVGq8W4a9OmjTgcDpk2bZrztYULF0paWprX+bU6kVq8eLEkJiYG9ToAAAAA24T+IkWK+Jy2atUqSU5ONncEqlev7jG9adOm5lmr2bg2DFbeRnesWLGieR9tgKt16YN5HQAAAIBtQn9mNm/ebJ69BWVriHa1bds2SU9Pz7BMjRo1Ml1my5YtQb0OAAAAoFAMzpWQkJAhFLvThrBKq9qcPHlSSpcuLadPn/ZrmWPHjgXtOvRugXtPQfqw6F0DAAAAFD62LOm36sRr0PYmLOx/HzslJcU5vz/L6PzBug53r776qrkwsB41a9b0+j4AAACwN1uG/uLFi5tnbeTqjdabt2jpuDW/P8tYpenBuA532hOQ3gGwHtr9JwAAAAofW1bviY6ONs++Bq5KSkoyz2XKlDG9AIWHh5uArSE6q2WioqKCdh3utAGwPgAAAFC42bKkv1mzZub58OHDXqfHx8eb5+bNm5vnokWLmr7zs7NMMK4DAAAAKDSh/8YbbzSl6kePHnU2inW1e/du83zrrbc6X+vcubN53rFjh8f8+h5aPUZL1Nu3bx/U6wAAAAAKReiPiIiQe+65x/y8cuVKj+lr1qwxjWDvvvtu52sDBgwwr/maX3Xv3t1Zzz5Y1wEAAADYJvRrN5XKV//048ePN6Xms2fPzvD69u3bZdOmTTJw4EBp0KCB83X9edCgQabPe6uffMusWbOkVKlS5j2DfR0AAACALUL/uXPn5LfffjM/r1271us89erVk6lTp5pRcOfOnWteO3DggNx///1y7bXXyltvveWxzBtvvCFXX321DBkyRI4fP256zXn33XclNjbWhG73kXSDdR0AAABASIf+e++91/Ruo6Xlatq0aVKpUiWZMmWKx7y9e/eWpUuXyuTJk02Y1rrvffr0keXLl3vt+15L1FesWCFt2rSRFi1amBJ0nXfDhg3So0cPr9sTjOsAAAAAXBVx+OoEHrajI/LqIF3aYFjbCwBAMNq5c6fcdtfd0qrXGKlQtbbH9H2/rZHlsyfKrY+8LtGXXpZh2okj+2X9/IkS+8UiadSoUQC3GgCCO9OFXEk/AAAAgOwh9AMAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzRUr6A0AABROcXFxkpSU5PH63r17JT09vUC2CQDsitAPACiQwN+l252SfPqMx7TU8ymSeDxJ0tLSODIAkEcI/QCAgNMSfg38jTr1lYioqhmmHd61VRJiP85xaX9a2gVzt8CbyMhIiY6OztH7AkAoI/QDAAqMBv4KVWtneO1kwuEcv9+5U0kSHxcnw4aPkvDwcM/1lS0jS75eTPAHUOgQ+gEAtpGaclYkrKg0jOkjUdUyXkwkHzsiO5fNNncZKO0HUNgQ+gEAtlOuUrTHHQQAKMzoshMAAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzRH6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzRH6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzRH6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzeU69D/77LN+zffmm2/K2bNnc7s6AAAAAIEO/YsWLfJrvqFDh8q4ceNyuzoAAAAAwVi9JzU1VdasWSNz584NxOoAAAAAuCgm2bRq1Sp5+OGHZceOHc7XihYt6teyDRo0yO7qAAAAAAS6pL9du3aydetWeeGFF5yvORyOTB8lS5aUq6++WubMmZPb7QUAAACQ3yX9qkiRIvLMM89I1apVZeLEifLnn3/m5G0AAAAABGvot/Tv318SExPzbmsAAAAABF9D3tGjR/s970033ZTb1QEAAAAIZEm/K627r6X+586dMz+7unDhgqxcuVKWL1+eV6sDAAAAEKjQf/r0aRkxYoTpr//MmTO5fTsAAAAAwRb6+/XrJ1988YUp3S9RooRERUVJsWKeb5uQkGDuAgAAUFDS0i7I3r17fU6PjIyU6OjogG4TAIRE6P/uu+/M84wZM+T+++/32Wf/wYMHpWHDhrldHQAAOXLuVJLEx8XJsOGjJDw83Os8EWXLyJKvFxP8AdhOrkN/jRo1TLWeBx54INP5atasaXr7AQCgIKSmnBUJKyoNY/pIVLXaHtOTjx2RnctmS1JSEqEfgO3kOvSPHz9eBgwYIGfPnpXSpUtnOm+3bt1yuzoAQAiJi4szIdqdVrFJT08vkG0qVylaKlT1DP0AYGe5Dv333nuv+eX98ssvm4cvWuf/vvvuk2PHjuV2lQCAEAn8XbrdKcmnPTt5SD2fIonHkyQtLa1Atg0ACptch/4XXnjBPP/www9y6tQp05DXnf5SX7t2rZw4cSK3qwMAhAgt4dfA36hTX4mIqpph2uFdWyUh9uMCK+0HgMIm16Ff+95ftWqVKcnfuHGj13mKFClipuszAKBw0cDvXp3mZMLhAtseACiMch36x40bJzExMdKrVy+59NJLTY8I7uE+JSXFlPTrAF0AAAAAQiz0d+jQQbp37y7z5s3LdD69hXvJJZfkdnUAAAAAsilM8sDEiROzrJe5YcMG+fnnn/NidQAAAAACHfrr1q3rc1Auy+OPPy6XX355XqwOAAAAQCCr92Q14FZqaqrs2bNH1q9fLwsWLDDddgIAAAAIodA/c+ZMZ+88WXnllVcI/QAAAECohX6lI/K2adPGaxUf7ad5xowZMmLECLrsBAAAAEIx9FesWFE+/PDDTOcJCwszjXg1/AMAAAAIsdC/Zs2aLOcZOnSoGan3sssuk7Fjx+Z2lQAAAAAC2XtPgwYNspynWLFiUqpUKZk8eXJuVwcAAACgIOr0Z0br9GvYj4+Pl/Lly+f36gAAAADkdejPqn9+V7169crt6gAAAAAEOvRn1VWnVuupXbu29OjRQ8aNG5fb1QEAAAAIdOjXPvp/+OEH6dChA11yAgAAAHYM/S1atJCOHTvmzdYAAAAACL7ee9atW5fh/4cOHZJff/1Vtm/fLikpKVLQFi9ebO5AuD/uvvtuj3k3bdokXbp0kTp16kj9+vVlzJgxcu7cOZ/vnZqaKq+99po0bNhQ6tWrJ+3bt5eVK1dmuj2BWAcAAACQp6Hf8uWXX0rz5s1N/f127dqZnytVqiT33nuv/Pnnn1JQXn31Va+vP/HEExn+HxsbK23btjV3Lf7++2/ZuHGjrF692vz/zJkzHsufP39ebr75ZpkzZ44sW7ZM9uzZI4888ojExMTIp59+6nWdgVgHAAAAkC+h/9lnn5Xu3bvLtm3bTMNe66El2IsWLTIXALNmzZJA+/HHH6VEiRLyxx9/ZHjoRUirVq2c8x08eFB69+5t2iWMHDnSvKbdi06fPl3Wrl0ro0eP9nhvLaFfsWKFGWW4Vq1a5rWePXuaBsv9+vUzod5VINYBAAAA5Evo19LrV155RSpUqCBPPvmk/Pzzz3L06FG5cOGCCf27du2S119/3QTYDRs2SKBL+Z955hlp1KhRhoeODOxqwoQJcurUKROkXWmVmpYtW8qUKVPMxYJl3759MmnSJGncuHGGiwfVp08fU2rvPvJwINYBAAAA5Evof+edd+SGG24w4V7rnmvVnqioKNN/v5aya731xx57TD755BOZOHGiBIq2NdC2Bfv375edO3f6nE8vTqyqMlr1xl2bNm3MXYtp06Y5X1u4cKGkpaV5nb9169bOtgSJiYkBWwcAAACQb6H/t99+kwULFkjFihUznU+rteiFQSBL+bUh8ZAhQ+Tyyy83penff/+9x3yrVq2S5ORkc4FSvXp1j+lNmzY1z1rNxrJkyRLzXLduXY/5dT/o+2gDXK2vH6h1AAAAAPkW+itXrixVqlTJcr7Tp0/LP//8I4Ggpd/Hjh0zVWesEYP/+9//mkaxjz/+eIYBxTZv3myevYVxFRkZaZ61vUJ6enqGZWrUqJHpMlu2bAnYOgAAAIB8Df179+7NdJ6LFy/Kww8/7DPA5jXtNeiXX34x1Xr0AuDjjz+WqlWrmmlvv/22jB8/3jlvQkJChhDtThvbKq1qc/LkSXP3QC9g/FlGLzwCtQ5vtPcfvcPg+gAAAEDhk+vQP3jwYOnatavXvuM1wE6dOlWuuuoqmTt3rkcj1kDQcKzr1QuAa6+91rymbQ+snm+sOvGlS5f2unxY2P92kYZx1zr0WS1jjVMQiHX4quKkn9961KxZ0+e8AAAAsK9ch/5evXrJNddcYxrzaqn/1VdfbUbp1ZJ1LXEfNmyYqbaifctrg96CEhERIUuXLjXjCGjD2s8//9y8Xrx4cfPsWuXHldabd61Lb83vzzJWO4dArMMb7d1HL7ysh3YbCgAAgMInT/rp177mtcvJ8PBwUxddR52Nj4831XpKliwpTz31lHzzzTcZSrQLKvjrmAJKB7pS0dHR5tnb4FgqKSnJPJcpU8Z8FtdQntUy2otRoNbhjTYc1s/s+gAAAEDhUyyv3mjQoEEycOBA0wPN77//LmfPnpV69eqZEn5f9dILgm6PKlu2rHlu1qyZeT58+LDX+fXiRekAY0obBmvf+dqA1t9lArEOAAAAIE9Cv3bP6U6r9FiNZLUkv2PHjuZhNWDVvuQLoi6/L9a2at/46sYbbzSl6jqgmDaKdS853717t3m+9dZbna917tzZBPIdO3Z4vL++h1al0VL79u3bB2wdAAAAgC/Zqm+jI+tqo1x9dO/eXdavX+8sMfdGLwgaNGggI0aM8Fk3PdC2b98uderUMY2PlVZ5ueeee8zP3hojr1mzxlzM3H333c7XBgwYYF7zNb/S/WNV0QnEOgAAAIA8Cf1z5swxIb9Pnz4mPGt1nnLlymW6zHXXXSd9+/aVZ555RgJF2xKcOHHC6zTtuWfGjBmmvrtFu/DUUvPZs2dnmFc/o7ZP0M+pFy8W/VmrM2kDZfd+8mfNmiWlSpXK0C1ooNYBAAAA5Dr0//TTT2Zk25kzZ2YIzVn517/+Zbqe9FZVJT/ccccd5i6D3mE4fvy4s6rRyJEjTbh2rxKjbQ+0a1EdBVe7FlUHDhyQ+++/33Tz+dZbb3ms44033jA9FemIv7oOvZPx7rvvSmxsrAn27iPpBmIdAIDcSUu7YMae0W6e3R9xcXHsXgCFo06/htUXX3wxRyvq37+/TJw4Ud555x3Jbxru9ZfztGnTTKl4u3btTLDWnnt8dXHZu3dvM7Kwlp6PGzfOXKRoW4RHH33UaxUaLbXXRsvPPfec6aJUq+I0adJENmzY4Gy4WxDrAADkzLlTSRIfFyfDho8yvdG5iyhbRpZ8vdjZIxsA2Db0b9261fTJnxPVqlXz2hA4P+iYAdreILs6depkHv7Sqk06wq8+gmkdAIDsS005KxJWVBrG9JGoarUzTEs+dkR2Lpttuksm9AOwfej31We8v7SKDQAAwaxcpWipUDVj6AeAQhX6tatIrVdepEiRbK9IR5DVOuwAAPvQqpTWYIHutG58enp6wLcJAJDL0F+7dm1ZvXq16ZEnu5YuXWrqswMA7BP4u3S7U5JPe78LnHo+RRKPJ0laWlrAtw0AkIvQrwNGTZgwQZYtW5adxUxJj/bx36pVq2wtBwAIXlrCr4G/Uae+EhH1/wY+dHV411ZJiP2Y0n4ACLUuO7XfeB0sSruQ9LfkRqsDDRs2TNatW+ccoAoAYB8a+LUOvPujTIXKBb1pAICchH6t3qNddn744Yem68h58+b5HARLS/f1jkDr1q1N15laJej222/PzuoAAAAABLp6j3ryySdl8+bNsnDhQjPSrvYdf8UVV8gll1wiUVFRpsHu0aNHTfecycnJpqT/0ksvNaP5AgAAAAiB0K/mz59vBot65plnTMjXgO/eo4+GfaUDY+n82k8/AAAAgCCv3uNq1KhR8scff8jjjz8uDRo0cAZ9feiAUl26dJEvvvhCfv75ZwI/AAAAEGol/ZY6derIf/7zH/M4d+6cqd9fqlQpqVChQt5tIQAAAICCC/2uNOzrAwAAAIBNqvcAAAAACA2EfgAAAMDmCP0AAACAzRH6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzRH6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwuWIFvQEAgOAWFxcnSUlJHq/v3btX0tPTC2SbAADZQ+gHAGQa+Lt0u1OST5/xmJZ6PkUSjydJWlpaodiDaWkXzIWON5GRkRIdHR3wbQIAfxH6AQA+aQm/Bv5GnfpKRFTVDNMO79oqCbEfF4rS/nOnkiQ+Lk6GDR8l4eHhHtMjypaRJV8vJvgDCFqEfgBAljTwV6haO8NrJxMOF5o9l5pyViSsqDSM6SNR1TLuh+RjR2TnstnmAonSfgDBitAPAICfylWK9rj4AYBQQO89AAAAgM0R+gEAAACbI/QDAAAANkfoBwAAAGyO0A8AAADYHKEfAAAAsDlCPwAAAGBzhH4AAADA5gj9AAAAgM0R+gEAAACbI/QDAAAANkfoBwAAAGyO0A8AAADYHKEfAAAAsDlCPwAAAGBzxQp6AwAABS8uLk6SkpI8Xt+7d6+kp6cXyDYBAPIOoR8ACjkN/F263SnJp894TEs9nyKJx5MkLS2tQLYNAJA3CP0AUMhpCb8G/kad+kpEVNUM0w7v2ioJsR9T2g8AIY7QDwAwNPBXqFo7w944mXCYveOHtLQLpiqUL5GRkRIdHc2+BFBgCP0AAOTCuVNJEh8XJ8OGj5Lw8HCv80SULSNLvl5M8AdQYAj9AADkQmrKWZGwotIwpo9EVct4p0QlHzsiO5fNNtWoKO0HUFAI/QAA5IFylaI9qkcBQLCgn34AAADA5gj9AAAAgM0R+gEAAACbI/QDAAAANkfoBwAAAGyO0A8AAADYHKEfAAAAsDn66QeAQiAuLs4MDuXN3r17JT09PeDbBAAIHEI/ABSCwN+l252SfPqM1+mp51Mk8XiSpKWlBXzbAACBQegHAJvTEn4N/I069ZWIqKoe0w/v2ioJsR9T2g8ANkboB4BCQgN/haq1PV4/mXC4QLYHABA4hH4AAPJZWtoF03bCm8jISImOjuYYAMhXhH4AAPLRuVNJEh8XJ8OGj5Lw8HCP6RFly8iSrxcT/AHkK0I/AAD5KDXlrEhYUWkY00eiqmWsXpV87IjsXDbbtLugtB9AfiL0AwAQAOUqRXttUwEAgcDgXAAAAIDNUdIPADYfgIvBtwAAhH4AsPkAXAy+BQAg9AOAzQfgYvAtAAChHwBsPgAXg28BAAj9AAAUIAbuAhAIhP4QkZqaKm+++abMmDFD0tLSpEaNGvLiiy/K9ddfX9CbBgDIIQbuAhAohP4QcP78ebnlllskPj5eli1bJrVq1ZJPP/1UYmJiZN68edKzZ8+C3kQAAUIPPfbCwF0AAoXQHwLGjBkjK1askHXr1pnArzToL168WPr16yctWrSQOnXqFPRmAshn9NBjXwzcBSC/EfqD3L59+2TSpEnSuHFjadWqVYZpffr0kfnz58vYsWNlwYIFBbaNAAKDHnoAADlF6A9yCxcuNHX427Zt6zGtdevW5llL/BMTE6VSpUoFsIUAAlF9x3WQLXroKTwya+SrIiMjJTo6OqDbBCA0EfqD3JIlS8xz3bp1PaZVrFhRqlevLv/884+sXr1aunXrVgBbCCAQ1XcUg2wVLlk18lURZcvIkq8XE/wBZInQH+Q2b95snrW3Hl+lPBr6t2zZQugHbNAY98TJZLni5n4eA2wpBtkqXDJr5KuSjx2R7d9Ol02bNnktGOIuAABXhP4glpKSIqdPn3b+8vamfPny5vnYsWNee/3Rh+XkyZPmOTk5OZ+2GIGm1br04U2RIkXE4XD4XDaz6TmdxvtmvR/0uzr6qafl7Ln/fTctqakpcvzESal37rSU0sDnJi31vDgcF+XEkX0S5kjPMO1k/KEcTcvNsrxvYPZDWmqKXPByPpw+kSBxR47IkEdHSHgxzzsBpUoUlzdef1WioqI8pvE9Ltj9oNVxqZKL3LCyXGbnmQcHgtahQ4f0SJrHjz/+6HWe6667zkx/6KGHPKaNHz/euTwP9gHnAOcA5wDnAOcA5wDngNhqHxw8eNDvXElJfxArXry482dfV3I6aJdVv9+d9uozcuRI5/8vXrwox48fN6ULWgoR7FewNWvWlIMHD0pERERBb07IYj+yH4MJ5yP7MVhwLrIfQ/181Fx46tQpqVatmt/rIfQHMQ3yGvw12J85471hn1Uv2Nvt2xIlSpiHK1/VhIKVnvyEfvZjsOB8ZD8GE85H9mGw4FwsmP1oVfH2V1gOtgkBUrRoUdM/vzp8+LDXeXSUXtW8eXOOCwAAALwi9Ae5zp07m+cdO3Z4bRCojXPLlCkj7du3L4CtAwAAQCgg9Ae5AQMGSFhYmKxcudJj2po1a8xz9+7dM9T/twOtljR+/HiP6klgPxYEzkf2YzDhfGQfBgvOxdDaj0W0NW++rgG5NnToUJkyZYrps//KK690vt6jRw9ZunSpbN++3WsfzQAAAIAi9IcAbcSr1XeKFStmQn6FChXkvffek9GjR8u8efNM+AcAAAB8ofeeEKB19lesWCHPPfectGjRwlT3adKkiWzYsEGaNWtW0JsHAACAIEdJPwAAAGBzNOQFAAAAbI7QDwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzRH6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzRH6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzRH6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzRH6AQAAAJsj9AMAAAA2R+gHUGht3rxZBg8eLOXKlZN9+/ZJMHj66afN9owdO1aCbV8NGjRIypYtm6N9NXnyZImIiJD7778/X7YPAJA5Qj+AgJs4caI0bdpUihQpkuGhYbdnz57y22+/+Vx2zJgxUr169QzLtWvXTnbt2pWtAHvTTTfJv/71L/nwww/l9OnTEizeffddsz3vv/++BIP169dLx44dzb766KOP5MyZMzl6Hw39p06dknnz5kliYmKebyeQV37//Xd54IEHpFOnTuxU2AqhH0DAaXDfsmWLPPzwwxle/+abb+TTTz+VZs2aZXrB8Oeff0rNmjWdIXnVqlVy2WWX+b3+Jk2ayPfffy+vvvqqBJvHHntMypQpI48++qjPef7666+A3ZnQY/Hjjz/K888/n6v3GTZsmLmo05L+SpUq5cm2LVu2LE/eB/aXmpoqK1euzHSetWvXyh133GF+P8yePVsuXLgQsO0DAoHQD6BAFC1aVN544w255JJLnK85HA6/ltUqJqVKlZLOnTtnGo59CQ8PN3cIMru4KCivvPKKKenXZ19ee+21gIX+kiVLmn3VokWLXIf+5ORkmTNnTp5s18WLF817Av5YuHChLF++3Of01atXy6ZNm+S2224z5zxgR4R+AAVG/7i6hvbPP//cr+V27txpqvOMGzcuV+svUaKEhJo9e/bI3LlzA77eYAtCWk1o9+7dBb0ZCJFS/qzu6l177bXmInLAgAFy/fXXB2zbgEAi9AMoUEOGDDGl9krDrD91xqdNm2bqmLdt2zbXdxtCyfnz56VPnz4mxARaMO0rvcsxYsSIgt4MhAhtFP/HH3/4PX/FihXzdXuAgkLoB1CgtH63BlmVlJQkM2bMyHT+c+fOmXkKW9UOvRjq0aOHrFmzRgozvdOhDSyPHz9e0JuCEPDCCy/Im2++me3qf4AdEfoBFDgttdV641bD3Mzq9i9YsMBMv++++zymaa8/ffv2NY18ixcvbtoLaFDesGFDrrZvxYoV5n1q1aplqrnos67Hn/f94osv5JZbbpHKlSubbapbt66MHDnSa2jVuvzam5DWn3/wwQedr+/du1eaN29uGjpbbrzxRmfvRW+//bZHT0jWQxtMu2rTpk2G6Y888kiO94tWx9L3K126tDRo0MD07uPrDsX8+fPNNuvDV5Wt7t27m1JWbcis1S1efvll6d+/v2lIrGJjY80dHtdqPZl91rNnz8qkSZPMNlaoUME0JL7yyitl/PjxcvLkyUw/m/YwpCXEl19+uTnmeqdDq4Pp+0RHRzsfl156qWlfoLTNwnvvvSeNGzd2NnzW46nnY7Vq1cz2W7SR6DvvvCOtW7c226XvrfPpef3f//7XZ69T/fr1y1DVatGiRdKyZUtzt0yPgXuvT9qGQteh+1TP25deesnn92vChAmmvUy3bt38bsSq7+ftvNPGsO5359znyc3315993aFDB3OsXT+ftW5tsOuLt20DbMEBAEHg5ptv1iRiHl9//bXP+Vq0aOEYOXKkx+vvvfeeo06dOo5FixY5jh075tizZ49jyJAh5v2KFSvmmDVrlscyK1ascK7z77//9ph+4cIFx6OPPuooXry44+2333YkJCQ44uLiHP/+97/Na2FhYY6XXnrJ63aePXvWcddddzlq1KhhPs+pU6ccu3fvdrRv396s79JLL3UcOnTIOf+oUaMcVapUcW7PAw884Jx28eJFsy26vDX9xx9/NK/pQ6dv2rTJ0bRpU+f0a6+91myvu5SUFMfgwYPNPOPHj3ecPHnS577ObF898cQTZh/Url3bUbRoUee0BQsWZFju9ddfd9SqVcs5XT+/uz///NNRvnx5R//+/R379+83271w4UJH1apVzTLLli0z86Wnp5vPO336dOf7WftAH650XzVp0sRxxRVXmG3X/b9161bHbbfdZpaLjo42+8ybXbt2OWrWrGnmiY2NdZw4ccKxcuVKx+WXX+5cr37+I0eOOBITE80+HTRokKNMmTLO6bpv33nnHef/9dGsWTPz/ufPn3fceOON5rWxY8ea81U/98CBA81rul83b97s3J6ff/7Zcd1112V4Lz3mw4YNc5QoUcKcY67T3n33XUdaWprjwQcfNOe+fhbXY/Tiiy96/dxly5Z1zrNx40a/zgv97F999ZWjUqVKzmVfeOEF8xld6bE7cOCAo0KFCo7rr7/e/JyT72929rV1Xug5qq8999xzztd0e3zR756vcxUIZYR+AEHh+++/d/7B1kDkzbp16xxFihRx/PXXXxleX7x4sQkBO3fu9FjmzjvvdAYpDRLZCf1PPfWUmTZ58mSPaTNmzHAuO2nSJI/pGvjDw8Mdv/32W4bXly9f7lyud+/eztc1zCQnJzsiIyM9Qr9Ft9FaVrfdne6X0qVLm+k9evRw+PLYY485A6i/XPfVPffc4xgzZowjKSnJGdorV65spl199dUZltPPlZqa6mjUqJHPIHXfffeZ0O8exLZs2WLCqhX6ve17b06fPu2oX7++IyIiwgRzVxqGO3ToYJatWLGi4+DBgx7T9WJBp2sAdbV3715zTHVa9erVM0w7fPiw49dffzXnp07v2bOn2U/x8fFmf2s419BpBVydJyoqKsN76OfXgK7THnroIefr+h56IaTnlPW5hw8fbi449ZxRv//+u9kma9t0eb041gCt9MLFunDQfa2f093zzz9vvkd6YaTHLDvmz5/v3Da9YPNGz5dSpUp5fE+z+/3Nzr5WVujXiwN/EPphV4R+AEHDClv60MDn7Y9x586dM7ym4UX/qGsg8kYDufWeTz/9tN+h3wqcGpDcS5EtWpquy2rQ1jsAls8//9y83qtXL49ltGRdg49O79ixo8d0Dc05Df1KP6NO13V4K+nXEthLLrnEMXXqVEd2uO6radOmeUzXOxU6Te9+eAuM3bt39xn6GzZsaEpzvW2vhr7shn5rWx5++GGv0/UixQqMul2uli5d6nxvb9vTpUsX53S9e+DOultTrVo1ZyBXWjJvGTp0qJmnQYMGHsvfcccdZpre+XLnWpq9YcMGj+l6B8qa/sknn3hM//bbb53T9SIhL+n30Lqjc/vtt3udRy929IIir76//uxrRegH/h/q9AMIGq49srz11lseday1r233Ab1++ukn2b9/vxlsy7WutfXQetmWbdu2+b0tU6ZMkfT0dLnmmmukWLFiXucZNGiQs+74xx9/nGH0WeVtRM+IiAjTGFfbLkyfPt1jutaPz43HH3/c1N/WBs/eGjBqPfyUlBTp3bt3jtehI/S6q1OnjnnW+u0nTpzI1ueKioqStLQ0ueuuu+Tw4cMZpulr2aGfzdqvOlKzNzqQ2w033GB+Xrx4sfzzzz/Oaa6jQWu9cndah9yi+9hXN7Ba917r6nurJ67tFPS8GjVqlMfy1jLaDsKdHleLt3ETGjVq5PxZ399d7dq1nT97O0a5oW0erPYhWp/e2zgS+r1wb0OSm++vP/sawP8Q+gEEDQ2i2uBVacPP+Ph45zQN1RoCunTpkmEZqzcb7V9bG3K6P3T03iNHjpjHrFmz/N4WbYCrXAcPc2cFR/Xzzz+bZ71Q0IF+VI0aNbwup41ydXwC1xBmCQvL3a9lDdCDBw82P2ujTvdwp8HrgQceyBAg84JrqNfgnZ3PpaFN6cjK2hj1qaeekri4OPOajuAbExOTrUbX2guUv8dOL1J0vRbX8OhtHACrgauei7qvfX1OXxeKVmD/9ddfncdJ31Mb5GqDb70IsbYru92maiPczFhd46r86PZ14MCB5jzQbXdvUKwDY+nr7hfCufn++rOvAfwPoR9A0NBeSYYOHeoMJVaJuVZF1JJ3DUnu4dEKh1oy6q2k0PWhPa/449SpU3L06NEsw6r2hmKFXQ0l1h0JK/T62wNKXhs9erTZl/o5XO+YaEmpXpDkR3enrqWr3gJrZjTw6SjDWrKud00mTpxo7hzoXYusetlx5xrUMzt2rqXi1rGz7mJYn0V7nHFn9ayj52luS5T1+OjIy3r3QC88dIRq7cEoVOn3S3vfsS7S9VhatBclvUvnvs/y4/sLwDtCP4CgooHUum3/wQcfmAD93XffmSoYGg7dWcF669atebYNrgOEHTt2LNN5y5cvb56tQOLaHaJ2tVkQNCBZ+0qrEVnBWS+iNNQ2bNhQgs2YMWNkx44dpstKDet63LUr0mbNmslff/2V58cuMjLS+bNrmNR9Y114aheQ+tBzTC9CNaD/8ssvctNNN2WodpIT3377ralmpO+3cuVK0/3kFVdcIaHOGmFb7zBpd6Hq0KFD5g6Maze0+fn9BeAdoR9AUNEqGb169TI/JyQkyLx580xYvfvuu51Vf1xZVSy0L2/XutneWNVusqLvaVWF2L59e6bzWiFfq6Uo7Wfeqm6wbNmyTJfVoKP9jedXiNZBhjTwa3/wWqqsIx4H86Bm9evXN8db70h07tzZvHbgwAG55557Mh27wZX2027J7Ni5vp917Cy6v5599lmpXr26jBs3zlT50aozM2fOlNdff12WLFmSqwGctF2FVlPTPv6//vprqVq1qtiF3rWwqvDohYyaOnWquZhzrTqVn99fAN4R+gEEHa3W4Tr4z9KlSz0a8FpatWrlrEtvDdLjzR9//CGfffaZX+vX0H799debn//++29Tr9gbXac1yJZVLUPD4FVXXWV+1u3OrJRaA2Ve1613Db9ad19pibnWsdYSbR14KdhYF3muwVHv7jz55JPOQal8HQNvdfWtaj1amu6LXlAqHcjJvdGrVk/S0mltp6HVT7RtiV487dq1y1Sdyk0dcn1vPZetAebsWB99+PDh5lnv3Ogx0GpSvgaBy4/vLwDvCP0Ago5W6bB6iNFeQHQUVR1V1ButamHdAdBwYbUDcKX1hbU9gDYK9VXa616SbFVTsOoje6MlyVrtQ6tpuDY2tdajPdJo8PbWsFVLjLUhr3vjTGs7vJVsuwZEHb03s15klFZB0ffXqhZacq37IKvGoL74W9Lua97MPpcGuk2bNnm8riPyWndcXKvtZLYftHTe6vFn7dq1Xt9Xbdy40TwPGTLEo+6/VkPRiwItibeqcLk2gvWHr3YN+r5WA3XXhuru1V00BOfmGGQlL9/L3a233uq8e6L7UkfndW1DkVffX3/bkFjni+u5ou/pax9kdq4CoYzQDyDoS/t9lfIrDWPaCNR13p49e5oSRi0h1uoiLVu2lHr16snVV1+dYVnXRqJa/cWVVr/o0aOH+VkbEVsh0ZVeDGjDxI8++ihDENWuPK362do7iV6waG9E2hvJV199JV27djWhX4O4O6vnGW/VfrSk3moIqSXhSt/zhRde8Lpv6tat6yxF1+3T3lVyynV7XAN4VvP687msHnxcG35aF02qSpUq5kLQolWoLNZ+0G46tdqN0q5KrXm0OpN7g2rdlk8++cTcUdBqUK60apEeq3Xr1pmSZe3Cc+fOnaaUXxsJa3WjzBoXWxdgeqfAGw242sjaOn/Wr1/vbP+hXXl++eWX5v/adamG2QkTJjjDquu+cz9flevFpbdj5NoNqLfldV1ajUnvBuWmEbqeo9ZFszaId72Azsvvb1b72mKdC9quQC/StbG9t/ZB7vvO/XwEQt7/318/AAQVHWDnsssuc1SoUMFx9uzZLOcfN26ccxAf94cOCHXmzJkM760DL1kDIemjX79+5jXXgX10vTfddJNz9Na5c+eakU0PHTrkGD16tBmUSwfi8kZHD61bt67X7dGRWNeuXesxcu2SJUvMgGA6T7ly5Rw//fSTed1VmzZtnO+jgxLVqFHDbI8vf/zxhxkwy9tAYf7QUWJ11FodcMla76OPPuo4evSo2Vc6XUdI1cGkrOmDBg1yHD9+3CyvA3XpSMr6eXSaDsL12WefZTimzZs3N9MaN27s+Oqrr8xx0NFvdVRhHYn1m2++ybBNiYmJzpGHdX/pfrjhhhsyjOir+1f3szXCsw5mpSP16ustW7Y0g6B52286cJc16m5mDx3x9/33388w6Nr06dOd03U0YD2euk53jzzySIb30nNcR5HVwbeeeOIJ5+s6Su2bb75pPtf+/fsdV155pXPahAkTzDqtAa70s7iez7oOHaFWl7XO92HDhjmn33LLLea4uZ7vZcuWdU7fuHGjIzd0sCzdB5deeqnHSMu5/f5mZ1+7jqytj0qVKpn5dQRwd9b5YY0urcdEBzTTz+I+4BcQigj9AILW5MmTHSNHjvR7fg3JXbt2NQFd/2BfccUVjokTJ5pRaF2tWrXKZ8CIjY3NMK/+sZ85c6YJHvq+GjY1nOp2uY/i607DiQaOevXqmfCqAV2D1z///ONzdF/3R+vWrTPMt2vXLkfbtm1NIIyJiclyZFUN3yVLlnT88ssvjpzQ/ZHZvnrmmWd8Ttf907t3b6/TdFRg99DvHoR1tNytW7f63C7dr5GRkY7+/fs7kpKSPObRCxO9OGvUqJEZoVjD3HXXXef46KOPHOfOnfP5mTXoaTBs1qyZIzo62uxrvVjx9jl0lFllXay5P3Q0WHe6bg33erGi760B3BqBetu2bY7q1aub0W31vFMffPCBz328efNmx1tvveVz+vz58x2LFy/2Od11tOPnn3/ebI+OmuttVOXsGjFihPn+5fX3Nzv72grzeh7qZ9NRv92/49Z+z+wiz9cI2EAoKaL/FPTdBgBA/tCqLrNnzzbVgJA1rdKhg2RpI2tvIw9rXXudZ8+ePabNhHYLqj3PAECwo04/ANiU1onXeuPB3E1nsNGG19qFprfAr7QhtHY9qY3L82KALgAIFEI/ANiU9o+ujTt99XqCjLQRrTbetRraZnVBpYPHsW8BhAr7dRAMAIWQDmykpdPar7x2g6iDnGno156HSpcuXdCbFxKswbxmzZples7R7jy15xjXgbi095dVq1aZPuW1V5jMepYCgGBCnX4AsIHFixc7+6d3HSRJB+aCf7Qby969e0tsbGyG6jxa3Ue7ltS7JkeOHDGv68Bh2lVqTsc9AIBAI/QDgA1oH+waWLXf+vr168sTTzxB1ZMc0pJ8bfz866+/yv79+82+1TESdMCpDh06yEMPPSS1atXK2wMIAPmM0A8AAADYHA15AQAAAJujIW8hog3TdGh37W6ObuYAAABCkw6zpe2QqlWrJmFh/pXhE/oLEQ38NWvWLOjNAAAAQB44ePCg1KhRw695Cf2FiJbwWydIREREQW8OAAAAciA5OdkU5FrZzh+E/kLEqtKjgZ/QDwAAENqyU12bhrwAAACAzRH6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwObrsBAAERFxcnCQlJZmfIyMjJTo6mj0PAAFC6AcA5HvQT0hIkEeGPy5nU1LN6xFly8iSrxcT/AEgQAj9AIB8C/xdut0pyafPSOr5FEk8niTteo+UYkWLyc5ls83FAKX9ABAY1OkHAOQLDfUa+Bt16it1294hFx0XpUxkFYmIqsoeB4AAo6QfAJCvNOQ7HA72MgAUIEr6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzRH6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzRH6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzRH6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzRUr6A0AABQ+aWkXZO/evc7/R0ZGSnR0dIFuEwDYGaEfABBQ504lSXxcnAwbPkrCw8PNaxFly8iSrxcT/AEgnxD6AQABlZpyViSsqDSM6SNR1WpL8rEjsnPZbElKSiL0A0A+IfQDAApEuUrRUqFqbfY+AAQADXkBAAAAmyP0AwAAADZH6AcAAABsjtAPAAAA2ByhHwAAALA5Qj8AAABgcyEb+pcsWSJt27aVmTNnZjrfpk2bpEuXLlKnTh2pX7++jBkzRs6dO+dz/tTUVHnttdekYcOGUq9ePWnfvr2sXLky5NYBAAAAhGzoX7RokbRu3Vq6du0qa9asyXTe2NhYc2HQsWNH+fvvv2Xjxo2yevVq8/8zZ854zH/+/Hm5+eabZc6cObJs2TLZs2ePPPLIIxITEyOffvppyKwDAAAACOnQ36JFC1Mq3qBBg0znO3jwoPTu3Vs6dOggI0eONK+VL19epk+fLmvXrpXRo0d7LKOl5ytWrJAZM2ZIrVq1zGs9e/aUHj16SL9+/UzgDoV1AAAAACEd+uvWrSslSpSQq666KtP5JkyYIKdOnTJB2pVWqWnZsqVMmTJF/vjjD+fr+/btk0mTJknjxo2lVatWGZbp06ePKVEfO3Zs0K8DAAAACPnQbylZsqTPaRcuXHBWldFqMe7atGkjDodDpk2b5nxt4cKFkpaW5nV+rU6kFi9eLImJiUG9DgAAAMA2ob9IkSI+p61atUqSk5PNHYHq1at7TG/atKl51mo2rg2DrTsJ7ipWrGjeRxvgal36YF4HAAAAYJvQn5nNmzebZ29BWUVGRprnbdu2SXp6eoZlatSokekyW7ZsCep1AAAAAO6KiQ0lJCRkCMXutCGs0qo2J0+elNKlS8vp06f9WubYsWNBuw69W+DeU5A+LHrXAAAAAIWPLUv6rTrxGrS9CQv738dOSUlxzu/PMjp/sK7D3auvvmouDKxHzZo1vb4PAAAA7M2Wob948eLmWRu5eqP15i1aOm7N788yVml6MK7DnfYEpHcArId2/wkAAIDCx5bVe6Kjo82zr4GrkpKSzHOZMmVML0Dh4eEmYGuIzmqZqKiooF2HO20ArA8AAAAUbrYs6W/WrJl5Pnz4sNfp8fHx5rl58+bmuWjRoqbv/OwsE4zrAAAAAApN6L/xxhtNqfrRo0edjWJd7d692zzfeuutztc6d+5snnfs2OExv76HVo/REvX27dsH9ToAAACAQhH6IyIi5J577jE/r1y50mP6mjVrTCPYu+++2/nagAEDzGu+5lfdu3d31rMP1nUAAAAAtgn92k2l8tU//fjx402p+ezZszO8vn37dtm0aZMMHDhQGjRo4Hxdfx40aJDp897qJ98ya9YsKVWqlHnPYF8HAAAAYIvQf+7cOfntt9/Mz2vXrvU6T7169WTq1KlmFNy5c+ea1w4cOCD333+/XHvttfLWW295LPPGG2/I1VdfLUOGDJHjx4+bXnPeffddiY2NNaHbfSTdYF0HAAAAENKh/9577zW922hpuZo2bZpUqlRJpkyZ4jFv7969ZenSpTJ58mQTprXue58+fWT58uVe+77XEvUVK1ZImzZtpEWLFqYEXefdsGGD9OjRw+v2BOM6AAAAgJDusnPBggXZmr9Tp07m4a9y5crJ22+/bR6hvA4AAAAgZEv6AQAAAGQPoR8AAACwuVyH/meffdav+d588005e/ZsblcHAAAAINChf9GiRX7NN3ToUBk3blxuVwcAAAAgGKv3pKammoGkrC4nAQAAAARx7z2rVq2Shx9+WHbs2OF8rWjRon4tyyBSAAAAQAiU9Ldr1062bt0qL7zwgvM1HWAqs0fJkiXNgFRz5szJ6+0HAAAAkB/99BcpUkSeeeYZqVq1qkycOFH+/PPPnLwNAMCG4uLiJCkpSfbu3Svp6ekFvTkAgNwOztW/f39JTExkRwIAnIG/S7c7Jfn0GUk9nyKJx5MkLS2NvQMAod6Qd/To0X7Pe9NNN+V2dQCAIKYl/Br4G3XqK3Xb3iEXHRcp7QeAUC/pd6V197XU/9y5c+ZnVxcuXJCVK1fK8uXL82p1AIAgFhFV1eNvAQAghEP/6dOnZcSIEaa//jNnzuTNVgEAAAAIntDfr18/+eKLL0yJTokSJSQqKkqKFfN824SEBHMXAAAAAECIhf7vvvvOPM+YMUPuv/9+n332Hzx4UBo2bJjb1QEAAAAIdOivUaOGqdbzwAMPZDpfzZo1TW8/AAAAAEKs957x48ebBrxnz57Nct5u3brldnUAAAAAAh367733XjNQ18svv5zpfFrn/7777svt6gAAAAAEunrPCy+8YJ5/+OEHOXXqlGnI604HZlm7dq2cOHEit6sDAAAAEOjQr33vr1q1ypTkb9y40es8RYoUMdP1GQAAAECIhf5x48ZJTEyM9OrVSy699FIJDw/3CPcpKSmmpF8H6AIAAAAQYqG/Q4cO0r17d5k3b16m86Wnp8sll1yS29UBAAAACHRDXjVx4kQT6jOzYcMG+fnnn/NidQAAAAACHfrr1q3rc1Auy+OPPy6XX355XqwOAAAAQCCr92Q14FZqaqrs2bNH1q9fLwsWLKDbTgAAACDUQv/MmTOdvfNk5ZVXXiH0AwAAAKEW+tWAAQOkTZs2Xqv4JCUlyYwZM2TEiBF02QkAAACEYuivWLGifPjhh5nOExYWZhrxavgHAAAAEGKhf82aNVnOM3ToUDNS72WXXSZjx47N7SoBAAAABLL3ngYNGmQ5T7FixaRUqVIyefLk3K4OAAAAQEHU6c+M1unXsB8fHy/ly5fP79UBAAAAyOvQn1X//K569eqV29UBAAAACHToz6qrTq3WU7t2benRo4eMGzcut6sDAAAAEOjQr330//DDD9KhQwe65AQAAADsGPpbtGghHTt2zJutAQAUSmlpF2Tv3r3m58jISImOji7oTQIAW8l16F+3bl2G/x86dEgOHDggERERUr9+fSlZsmRuVwEAsLFzp5IkPi5Ohg0fJeHh4RJRtows+XoxwR8AgqnLTsuXX34pzZs3N/X327VrZ36uVKmS3HvvvfLnn3/m1WoAADaTmnJWJKyoNIzpI4069ZXk02dMz28AgCAL/c8++6x0795dtm3bZhr2Wo9z587JokWLzAXArFmz8mJVAACbKlcpWiKiqhb0ZgCALeU69MfGxsorr7wiFSpUkCeffFJ+/vlnOXr0qFy4cMGE/l27dsnrr78uY8aMkQ0bNuTNVgMAAAAIXJ3+d955R2644Qb57LPPpGLFih59+Gu9/scee0yaNGkiEydONPMBAAAACKGS/t9++00WLFjgEfjdaZeeWuoPAAAAIMRCf+XKlaVKlSpZznf69Gn5559/crs6AAAAAAUR+q2+lX25ePGiPPzww1KjRo3crg4AAABAoEP/4MGDpWvXrrJy5UqPaSdPnpSpU6fKVVddJXPnzpV+/frldnUAAAAAAt2Qt1evXvLjjz+axrzaL3+tWrWkSJEipipPQkKCs/vOTp06mQa9AAAAAEKwn/7p06fLlClTzEiKmzdvlk2bNkl8fLyp1qMj8j711FPyzTffSFhYno0FBgAAACBQJf2WQYMGycCBA2XFihXy+++/y9mzZ6VevXoSExMjkZGRebUaAAAAAPkZ+rV7Tm8NeatW/X8jKGpJfseOHc1DafWexYsXU5cfAAAAKEDZqm+jI+tqo1x9dO/eXdavXy9ly5b1Ob9eEDRo0EBGjBhh6vUDAAAACPLQP2fOHBPy+/TpI9u3bzfVecqVK5fpMtddd5307dtXnnnmmdxuKwAAAID8Dv0//fSTtGzZUmbOnCklSpTwe7l//etfUrp0admxY0dOthEAAABAoEK/9rX/4osv5mhF/fv3lw8//DBHywIAAAAIUOjfunWrXHPNNTlaUbVq1bw2BAYAAAAQRKH/zJkzuVqZ9uYDAAAAIIhD/7Fjx3LcC09qaqocOHAgR8sCAAAACFDor127tqxevTpHK1q6dKlUqVIlR8sCAAAACFDo79y5s0yYMCHbK0lPTzd9/Ldq1UoCTQcHK1KkiMfj7rvv9ph306ZN0qVLF6lTp47Ur19fxowZI+fOncv07sVrr70mDRs2NKMPt2/fXlauXJnp9gRiHQAAAECOQ/+gQYNM4BwyZIikpaX5tYxWBxo2bJisW7dO7rnnHgm0V1991evrTzzxRIb/x8bGStu2bc1own///bds3LjR3NXQ/3try3D+/Hm5+eabzdgFy5Ytkz179sgjjzwiMTEx8umnn3pdZyDWAQAAAOS6eo922aldbzZp0kTmzZsnJ06c8Fm6r0G1devWMm3aNDNI1+233y6B9OOPP5rxBP74448Mjz///DPDXYeDBw9K7969pUOHDjJy5EjzWvny5WX69Omydu1aGT16tMd7awn9ihUrZMaMGVKrVi3zWs+ePaVHjx7Sr18/E+pdBWIdAAAAQK5Dv3ryySdNif2uXbvMSLtaT//KK680VX801Goo1SooUVFRppT6v//9r7lY0NLqgijl15GAGzVqlOFx2WWXZZhPqyydOnXKBGlXWqVGByObMmWKuViw7Nu3TyZNmiSNGzf2qLKkoxVrqf3YsWMDvg4AAAAgT0K/mj9/vvz73/+W8PBwU6Kv/e9rqfqCBQvkiy++kF9++UVOnjxpqva0a9fO/N8qqQ4UrU7066+/yv79+2Xnzp0+57tw4YKzqoxWvXHXpk0b8zn0boVl4cKFpnqTt/n1zobVliAxMTFg6wAAAADyNPSrUaNGmZLpxx9/XBo0aGBe0+Cqj3LlypnGqnoB8PPPP5uBuQqilD8lJcW0P7j88stNafr333/vMd+qVaskOTnZVAOqXr26x/SmTZuaZ61mY1myZIl5rlu3rsf8FStWNO+jDXCtno4CsQ4AKEhxcXGmgGXv3r2mMAgAYJPQr7QHmv/85z+mjvzp06fl0KFDpuQ5KSnJNFq94447pCDoNuiYAlp1pmjRouY1rWak1Y30IsV1rIHNmzebZ29hXEVGRprnbdu2Of+QWcvUqFEj02W2bNkSsHUAQEEG/i7d7pTb7rpbhj46Qo4eTfC7swcAQAiEflelSpUyJfoVKlSQglapUiVTpUhLnfQC4OOPP5aqVauaaW+//baMHz/eY5RgK0S708a2Sv+AaZUlvXugFzj+LKMXHoFahzfa+4/eYXB9AEBe04Ke5NNnpFGnvlK37R1y0XGR0n4AsGvoD1YajrXxrF4AXHvtteY17ffe6vnGqhNfunRpr8uHhf1vF2kYd61Dn9UyOn+g1uGripN+futRs2ZNn/MCQG5FRFWVMhUqsyMBIAjZPvRbIiIizKjA2pOQNqz9/PPPzevFixc3z65VflxpvXnXuvTW/P4so/MHah3eaO8+eufAemi3oQAAACh8Ck3ot4L/s88+a37Wga5UdHS0efY2OJZ121qVKVNGSpYsmSGUZ7WMdlsaqHV4ow2H9TO7PgAAAFD4FKrQr3Q0W1W2bFnz3KxZM/N8+PBhr/PHx8eb5+bNm5tnbRisfednZ5lArAMAAADwpdCFfqtBr/aNr2688UZTqn706FGvjWJ3795tnm+99VbnazoQmdqxY4fH/PoeWpVGS+11kLJArQMAAADwpdCF/u3bt5uuRrt27Wr+r1VedIRhtXLlSo/516xZYxrN3n333c7XBgwYYF7zNb/q3r27s4pOINYBAHaRlnbB9PevHTBod6AAgNyzZei/ePGinDhxwus07blnxowZpr67Rbvw1FLz2bNne1wgbNq0SQYOHOgcgEzpz4MGDTL96rv3kz9r1izTfalrt6CBWgcAhLpzp5IkPi5Ohg0fZfr91/7/Cf4AkHu2DP06KFjlypVlxIgRcvz4cWdf+SNHjjTh2r1KTL169WTq1KlmFNy5c+ea1w4cOCD333+/6ebzrbfe8ljHG2+8IVdffbUZ8VfXob3svPvuu2ZQMg327iPpBmIdABDqUlPOioQVlYYxfUy//9r/v9VxAQAg54qJDWm415KhadOmmVLxdu3amWCtPff46uKyd+/eUqVKFVN6Pm7cONM/vvbv/+ijj3qtQqOl9itWrJDnnntOWrRoYariNGnSRDZs2OBsuFsQ6wAAOyhXKTrDHVkAQO7YMvTfcMMNsn79+mwv16lTJ/PwV7ly5cwIv/oIpnUAAAAAtq/eAwAAAOB/CP0AAACAzRH6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzRH6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzRH6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANhcsYLeAAAAfElLuyB79+41P0dGRkp0dDQ7CwBygNAPAMi2uLg4SUpKMj9rKE9PT8/zvXjuVJLEx8XJsOGjJDw8XCLKlpElXy8m+ANADhD6AQDZDvxdut0pyafPmP+nnk+RxONJkpaWlqd7MjXlrEhYUWkY00eKFy8uO5fNNhcalPYDQPYR+gEA2aLBWwN/o059JSKqqhzetVUSYj/Ol9J+Va5StJQoUYKjBAC5QENeAECOaOCvULW2lKlQmT0IAEGO0A8AAADYHKEfAAAAsDlCPwAAAGBzhH4AAADA5gj9AAAAgM0R+gEAAACbI/QDAAAANkfoBwAAAGyO0A8AAADYHKEfAAAAsDlCPwAAAGBzhH4AAADA5gj9AAAAgM0VK+gNAADAH2lpF2Tv3r3m58jISImOjmbHAYCfCP0AgKB37lSSxMfFybDhoyQ8PFwiypaRJV8vJvgDgJ+o3gMACHqpKWdFwopKw5g+0qhTX0k+fUaSkpIKerMAIGRQ0g8A8EtcXJwJ2lrFJj09vUD2WrlK0VKiRIkCWTcAhDJCPwDAr8DfpdudpoQ99XyKJB5PkrS0NPYcAIQIqvcAALKkJfwa+LVqTd22d8hFx8UCK+0HAGQfJf0AAL9FRFUVh8PBHgOAEENJPwAAAGBzhH4AAADA5qjeAwAI6YG6FIN1AUDmCP0AgJAeqEsxWBcAZI7QDwAI2YG6oqrVluRjR2Tnstmmh6Ho6OiC3jwACEqEfgBAUA/IldlAXRWq1i7ozQCAkEDoBwB4xYBcAGAf9N4DAPCKAbkAwD4I/SEiNTVVXnvtNWnYsKHUq1dP2rdvLytXrizozQJQSAbkKlOhckFvBgAgF6jeEwLOnz8vt9xyi8THx8uyZcukVq1a8umnn0pMTIzMmzdPevbsWdCbCABB04Un3XcCgCdCfwgYM2aMrFixQtatW2cCv9Kgv3jxYunXr5+0aNFC6tSpU9CbCcAmgrnxrj9deNJ9JwB4onpPkNu3b59MmjRJGjduLK1atcowrU+fPnLmzBkZO3ZsgW0fAHs23r3trrtl6KMj5OjRBElLS5NQ6cKzUae+knz6jLloAQD8DyX9QW7hwoXmD27btm09prVu3do8a4l/YmKiVKpUqQC2EIDdSvdPnEyWK27uJ6ePH5WE2I9DorTf6sKzRIkSVPUBAC8I/UFuyZIl5rlu3boe0ypWrCjVq1eXf/75R1avXi3dunUrgC0EEMohXyUkJMgjwx+Xsympkno+RRKPJ0nLyMricDgk1LhX9SlVIlwmvfu2VK5cmbr+AAo1Qn+Q27x5s3muUaOG1+naYE1D/5YtWwj9ADwCvfb8Vbx48Qw/u4Z88/r/H/Tb9R4pKSePh1TpfmZVfS5eSJHVi96TPv0HeVwAuO4XX/tJ0SgYgF0Q+oNYSkqKnD592vmHx5vy5cub52PHjnnt9UcflpMnT5rn5OTkfNpiAO606p0+VJEiRZyl575+9nc+Xz/r74LRTz0tZ8+dN9VcEo8dk6jKVcThuOj8OT39ghw/cVKaxfSUshUqy/GDe+Tomm8l9dxZSUs9b+Y9cWSfpJ4+meXPYY50ORl/KFvLBGL5tNSU//dzkSJySdP24khLlW0rvpDeDw6QInpc/v99UbRoUZ/7SaeVKlFc3nj9VYmKisq3Y5afy2u1T6p+AvZjZbls3ZF1IGgdOnRIj6R5/Pjjj17nue6668z0hx56yGPa+PHjncvzYB9wDnAOcA5wDnAOcA5wDoit9sHBgwf9zpWU9Acx11vPvq7k9Da0Vb/fnfbqM3LkSOf/L168KMePHzelPloSFOxXsDVr1pSDBw9KREREQW9OyGI/sh+DCecj+zFYcC6yH0P9fNRceOrUKalWrZrf6yH0BzEN8hr8Ndhr15zeWPV29dazO+3FQh+ufFUTClZ68hP62Y/BgvOR/RhMOB/Zh8GCc7Fg9qNVxdtf9NMfxLQ+qfbPrw4fPux1Hh2lVzVv3jyg2wYAAIDQQegPcp07dzbPO3bs8JimDfa0cW6ZMmWkffv2BbB1AAAACAWE/iA3YMAACQsLk5UrV3pMW7NmjXnu3r17hvr/dqDVksaPH+9RPQnsx4LA+ch+DCacj+zDYMG5GFr7sYi25s3XNSDXhg4dKlOmTDF99l955ZXO13v06CFLly6V7du3ex28CwAAAFCE/hCgjXi1+k6xYsVMyK9QoYK89957Mnr0aJk3b54J/wAAAIAv9N4TArTO/ooVK+S5556TFi1amOo+TZo0kQ0bNkizZs0KevMAAAAQ5CjpBwAAAGyOhrwAAACAzRH6AQAAAJsj9AMAAAA2R+gHAAAAbI7QDwAAANgcoR8AAACwOUI/AAAAYHOEfgAAAMDmCP0AAACAzRH6AQAAAJsj9AMA8P+1dydwNtX/48ffljHWse/7MkiWypolZYkoLbYklcjWQgqVIvUr1fdbpGgjRNmKyvKt+KaohJAtUmRLYxkGYzCG83+8P7//ub+7zj5z7z3zej4e173OOfeccz/3MzPv8zmfz/sDAA5H0A8AAAA4HEE/AAAA4HAE/QAAAIDDEfQDAAAADkfQDwAAADgcQT8AAADgcAT9AAAAgMMR9AMAAAAOR9APAAAAOBxBPwAAAOBwBP0AAACAwxH0AwAAAA5H0A8AAAA4HEE/AAAA4HAE/QAAAIDDEfQDAAAADkfQDwAAADgcQT8AAADgcAT9AAAAgMMR9AMAAAAOR9APAAAAOBxBP4Aca8uWLTJ48GApUqSI7N+/X0LBM888Y87n6aefllArq0GDBknhwoXTVVbTpk2TqKgouffee7Pk/AAAySPoB5DtXn31VWnQoIHkypXL46HBbs+ePWXbtm0B3ztmzBipWLGix/vatGkje/bsSVMAe/PNN8t1110n77//vsTHx0uomDJlijmft99+W0LBhg0bpH379qasPvjgAzl37ly69qNB/9mzZ+Xjjz+W2NjYTD9PICO0bk6YMEHq168vBQoUkKJFi0rr1q1Nnb98+TKFC2ewACAIkpKSrIcfftjSX0P247vvvkvVe8+ePWtVrlzZvGfKlClpPnZiYqJ15coVa+LEia5j//XXX1YoePrpp61ChQqZ50D27NmTbed7/vx5U1bPP/98hspq6tSpVpEiRax77703087tm2++ybR9wdkuXrxoff/9937X/f3331bt2rU9fhe5P2666SYrPj4+288ZyGy09AMIijx58si///1vKVu2rHsjRKreq11MtDWuU6dO8uijj6b52BEREeYOQcOGDSXUvPzyy6alX58DeeWVV7KtO1L+/PlNWTVp0iRD+xk2bJicOXNG5syZkynndeXKFbNPIDUWLFgg3377rd91vXv3Nnef/ud//ke+++47+eWXX+S1116T4sWLm/WrV6+W/v37U9AIewT9AIJGA0r3oP2zzz5L1ft2795tuvOMGzcuQ8ePjIyUcLN3716ZO3duUL6rUKLdhP78889gnwbCQGJiokycONHvupUrV8qRI0dk69atMnbsWGnbtq00btxYRo0aJevXr5eSJUua7RYtWmS2AcIZQT+AoBoyZIhptVcazKamz/j06dNNH/OWLVtm+G5DOLl48aL069fPBDHZLZTKSu9yjBgxItingTChg+J37drld93ixYvN7x0dJ+QtOjpaXnzxRdf/v//++yw9TyCrEfQDCCptSdNAVsXFxcnMmTOT3f78+fNmm5zWtUMvhnr06CHr1q2TnEzvdHTs2FFOnjwZ7FNBGHjhhRfkjTfeCLi+S5cucv311wdcf/vtt7teB+NiG8hMBP0Agk5bbbXfuJ29Jrm+/fPnzzfr77nnHp91mvXnvvvuk8qVK0u+fPnMeAENlDdu3Jih89M+vbqfKlWqmG4u+qzHSc1+tSXxlltukdKlS5tzqlGjhowcOdJv0Kp9+TWbkPaff+CBB1zL9+3bJ40aNZJly5a5lt10002u7EWTJ0/2yYRkP3799VePY7Ro0cJj/SOPPJLuctHuWLq/ggULmlZRzXQS6A7FvHnzzDnrI1CXre7du0uJEiWkUKFC0qpVK3nppZfkwQcflFWrVpltli5dau7wuHfrSe6zJiQkyNSpU805av9szQ51zTXXyPjx4+X06dPJfjbt460txFdddZX5zvVOh3YH0/2UK1fO9ahWrZoZX6B0zMJbb70l9erVk+eff94s0+9T62OFChXM+dsuXbokb775pjRv3tycl+5bt9N6rX3KA2Wd0r7l7l2tFi5cKE2bNjV3y/Q78M76pGMo9Bhaplpvtd96oJ8vzV6j42W6detmzi81dH/+6p1mwfG+O+e9TUZ+flNT1u3atTPftfvns499xx13mGW33XZbsp+vVKlSrtfVq1dPVZkAISvThwYDQDp07tzZlS3jyy+/DLhdkyZNrJEjR/osf+utt6zq1atbCxcutE6cOGHt3bvXGjJkiNlf3rx5rdmzZ/u8Z/Xq1clmpLl06ZL16KOPWvny5bMmT55sHT9+3IqJibH+9a9/mWW5c+e2/ud//sfveSYkJFh33XWXValSJfN5NOPQn3/+abVt29Ycr1q1atbhw4dd2z/xxBNWmTJlXOdz//33u9Zp9hw9F32/vX7VqlVmmT50/ebNm60GDRq41rdq1cqcr7cLFy5YgwcPNtuMHz/eOn36dMCyTq6snnzySVMGVatWtfLkyeNaN3/+fI/3vfbaa1aVKlVc6/Xze/v999+tokWLWg8++KB14MABc94LFiywypcvb96zcuVKs93ly5fN550xY4Zrf3YZ6MOdllX9+vWtq6++2py7lv/WrVut2267zbyvXLlypswCZUfS7FC6zdKlS61Tp05Za9assa666irXcfXz//PPP1ZsbKwp00GDBpmsS/Z6Lds333zTIwtMw4YNXZlkNCOMLtMsTVpf9XMPHDjQLNNy3bJli+t8NOtM69atPfal3/mwYcOsyMhIU8fc12lGK82O9cADD5i6r5/F/Tt68cUX/X7uwoULu7bZtGlTquqFfvYvvvjCKlmypOu9L7zwgvmM7vS7O3jwoFW8eHHrhhtuMK/T8/OblrK264XWUV323HPPuZbp+aTG/v37zXsLFChgnTlzJlXvAUIVQT+AkPD11197pMjzZ/369VauXLmsP/74w2P5kiVLTBCwe/dun/fceeedrkBKA4m0BP1PPfWUWTdt2jSfdTNnznS9V9NRetOAPyIiwtq2bZvH8m+//db1vr59+7qWazCjQUWxYsV8gn6bnqP9Xj13b1ouBQsWNOt79OhhBfLYY4+5AtDUci+r3r17W2PGjLHi4uJcQXvp0qXNusaNG3u8Tz+XpkitW7duwKD/nnvuMUG/dyD266+/mmDVDvr9lb0/ml6xVq1aVlRUlAnM3Wkw3K5dO/PeEiVKWIcOHfJZrxcLul4DUHf79u0z36muq1ixose6I0eOWD/99JOpn7q+Z8+eppyOHj1qyluDcw067QBXtylVqpTHPvTz26loH3roIddy3YdeCGmdsj/38OHDzQWnHYj+9ttv5pzsc9P368WxBtBKL1zsCwcta/2c3jQtq/4c6YWRfmdpMW/ePNe56QWbP1pfNHj2/jlN689vWspa2UG/XhyklV3X9EIDCHcE/QBChh1s6UMDPm8aCHfq1MljmQYv+kddAyJ/NCC39/nMM8+kOui3A04NkLxbkW3amq7v1UBb7wDYPvvsM7O8T58+Pu/RlnUNfHR9+/btfdZr0JzeoF/pZ7RbJv219GsLbNmyZa333nvPSgv3spo+fbrPer1Toev07oe/gLF79+4Bg/46deqY1lx/56tBX1qDfvtcdB4If/QixQ4Y9bzcrVixwrVvf+fTtWtX13q9e+DNvltToUIFj5ZhbZm3DR061GwTHR3t8/477rjDrNM7X97cW7M3btzos17vQNnrP/nkE5/1//nPf1zr9SIhM+nPoX1H5/bbb/e7jV7s6AVFZv38pqasMxr0t2nTxlw8ai5/INzRpx9AyHDPyDJp0iSfPtaaa/vhhx/2WK55tQ8cOCBff/21R19r+6H9sm3bt29P9bm8++67ZiZOHeSXN29ev9sMGjTI1Xf8ww8/9Jh9VumAU29RUVFmMK6OXZgxY4bPeu0fnxGPP/646b+tA579DWDUfvgXLlyQvn37pvsYOkOvN7u/s/ZvP3XqVJo+l/abTkpKkrvuusukT3Sny9JCP5tdrjpTsz+1a9eWG2+80bxesmSJ/P3336517rNBa79yb9qH3KZlHCgNrPa91776Nvc+7DpOQevVE0884fN++z06DsKbfq82f/Mm1K1b1/Xa3+DUqlWrul77+44yQsc82ONDtD+9v3kk9OfCewxJRn5+U1PWGaFjSdauXSuvv/66GScAhDuCfgAhQwNRHfCqdODn0aNHXes0qNYgoGvXrh7vsbPZDBgwwAzk9H78/vvv8s8//5jH7NmzU30uOgBXuU8e5s0OHN3T+emFwo8//mheV6pUye/7dFCuzk/gHoTZcufO2K9lDaAHDx5sXuugTu/gTgOv+++/3yOAzAzuQb0G3mn5XPbERxpg6WDUp556SmJiYsyye++9Vzp06JCmQdeaBSq1351epOhxbe7Bo795AOwBrloX3Qd5en/OQBeKdsD+008/ub4n3acOyNUB33oRYp9XWtOm6iDc5NipcbMqE83AgQNNPdBz9x5QrBNj6XLvC+GM/PympqzTSy/ohg4dauqffi7ACQj6AYQMzUqif2jtoMRuMdeuiNryrkGSd/BoB4faMuqvpdD9Yc+wmZKzZ8/KsWPHUgxWNRuKHexqUGLfkbCD3tRmQMlsOrGQlqV+Dvc7JtpSqhckWZHu1L111V/AmhwN+HSWYW1Z17smr776qrlzoHctUsqy4809UE/uu3NvFbe/O/suhv1ZNOOMNzuzjtbTjLYo6/ejMy/r3QO98NAZqjWDUbjSny/NvmNfpOt3adMsSnqXzrvMsuLnNzPoz4heNAbKSAWEI4J+ACFF/9jat+3feecdE0B/9dVXpguGBofe7MA6M2fLdJ8g7MSJE8luW7RoUfNsByTu6RA11WYwaIBkl5V2I7IDZ72I0qC2Tp06EmrGjBkjO3fuNCkrNVjX711TkTZs2FD++OOPTP/uihUr5nrtHkxq2dgXnpoCUh9ax/QiVAP0H374QW6++WaPbifp8Z///Md0M9L9rVmzxqSfvPrqqyXc2TNs6x0mTReqDh8+bO7AuKehzcqf34zS70LThH755ZchNxM1kBEE/QBCirau9enTx7w+fvy4fPzxxyZY7dWrl6vrjzu7i4X+kXbvm+2P3e0mJbpPuyvEjh07kt3WDvK1W4rSPPN2d4OVK1cm+14NdDTfeFYF0RERESbg13zw2qqsM4+G8qRmtWrVMt+33pHo1KmTWXbw4EHp3bt3snM3uNM87bbkvjv3/dnfnU3L69lnnzWztI4bN850+dGuM7NmzZLXXntNli9fbso2vXRchXZT0xz/GliWL19enELvWthdeDR4Vu+99565mHPvOpWVP78Zod+NXih/88035mcZcBKCfgAhR7t1uE/+s2LFCp8BvLZmzZq5+tLbk/T4s2vXLvn0009TdXwN2m+44Qbz+q+//jL9iv3RY9qTbNndMjQYvPbaa81rPe/kWqk1oMzsvvXuwa/23VfaYq59rLVFWydeCjX2RZ574Kh3d0aPHu2alCrQd+Cvr77drUdb0wPRC0qlAzS9B71q9yRtndZxGtr9RMeW6MXTnj17TNepjPQh131rXbYnmMuK/ujBNnz4cPOsd270O9BuUoEmgcuKn9/00sHEWuc04GfgLpyIoB9AyNEuHXaGGM0CorOo6qyi/mhXC/sOgAYX9jgAd9pfWMcD6KC8QK293i3JdjcFuz+yP9qSrN0+tJuG+2BT+ziakUYDb38DW7XFWAfyeg/OtM/DX8u2e4Cos/cml0VGaRcU3b92tdCWay2DlAaDBpLalvZA2yb3uTSg27x5s89ynZHXvuPi3m0nuXLQ1nk748/PP//sd79q06ZN5nnIkCE+ff+1G4peFGhLvN2Fy30QbGoEGteg+7UHqLsPVPfu7qJBcEa+g5Rk5r68denSxXX3RMtSZ+d1H0ORWT+/qR1DYtcX97qi+3QvAw34NRuXznodaOZdzSwV6HcBEA4I+gGEfGt/oFZ+pcGYDgJ137Znz56mhVFbiLW7SNOmTaVmzZrSuHFjj/e6DxLV7i/utPtFjx49zGsdRGwHie40ANCBiTrYzz0Q1eDB7p+t2Un0gkWzEWk2ki+++EJuvfVWE/RrIO7Nzjzjr9uPttTbAyG1JVzpPl944QW/ZVOjRg1XK7qeX0aykLifj3sAntK2qflcdgYf94Gf9kWTKlOmjLkQtLl3u7DLQdN0arcbpalK7W20O5P3gGo9l08++cTcUdBuUO60a5F+V+vXrzcty5rCc/fu3aaVXwcJa3ej5AYX2xdgeqfAHw1w7X7iWn82bNjgGv+hqTw///xzV4CpweyECRNcwap72XnXV+V+cenvO3JPA+rv/Xos7cakd4MyMghd66h90awD4t0voDPz5zelsrbZdUHHFehFug62dx8fpIG+/pxoak49d/2+7YferdC6oF2+9I6QE8ZdIAcL9kQBAOCPTrBTu3Ztq3jx4lZCQkKKhTRu3DjXJD7eD50Q6ty5cx771omX7ImQ9NG/f3+zzH1iHz3uzTff7Jq9de7cuWZm08OHD1ujRo0yk3LpRFz+6OyhNWrU8Hs+OhPrzz//7DNz7fLly82EYLpNkSJFrO+++84sd9eiRQvXfnRSokqVKpnzCWTXrl1mwix/E4Wlhs4Sq7PW6oRL9nEfffRR69ixY6asdL3OkKqTSdnrdfbSkydPmvfrRF06k7J+Hl2nk3B9+umnHt9po0aNzLp69epZX3zxhfkedPZbnVVYZ2JdtmyZxznFxsa6Zh7W8tJyuPHGGz1m9NXy1XK2Z3jWyax0pl5d3rRpUzMJmr9y04m77Fl3k3vojL9vv/22x6RrM2bMcK3XCZ30+9RjenvkkUc89qV1XGeR1cm3nnzySddynaX2jTfeMJ/rwIED1jXXXONaN2HCBHNMe4Ir/Szu9VmPoTPU6nvt+j5s2DDX+ltuucV8b+71vXDhwq71mzZtsjJCJ8vSMqhWrZrPTMsZ/flNS1m7z6ytj5IlS5rtdQZwpT/TWidT+r71oZN8eU/8BYQTgn4AIWvatGnWyJEjU729Bsm33nqrCdA1iLr66qutV1991cxC627t2rUB/7AvXbrUY1v9Iz9r1iwTeOh+NdjU4FTPy3sWX28anGjAUbNmTRO8aoCugZe/2T3t2X29H82bN/fYbs+ePVbLli1NQNihQ4cUZ1bV4Dt//vzWDz/8YKWHlkdyZTV27NiA67V8+vbt63edzgrsHfR7B8I6W+7WrVsDnpeWa7FixawHH3zQiouL89lGL0z04qxu3bpmhuLSpUtbrVu3tj744APr/PnzAT+zzlyrgWHDhg2tcuXKmbIOFBjqLLPKvljzFyh602NrcK8XK7pvDcDtGai3b99uVaxY0cxuq/VOvfPOOwHLeMuWLdakSZMCrp83b561ZMmSgOvdZzt+/vnnzfnorLn+ZlVOqxEjRpifv8z++U1LWSu9GNB6qJ9NZ/22f8ZXrVrlmpk5NY9nn302gyUCBFcu/SfYdxsAAFlDu7p89NFHphsQUqZdjHSSLB1k7W/mYe1rr9vs3bvXjJnQtKCaeQYAQh19+gHAobRPvPYbD+U0naFGB15rCk1/Ab/SgdCaelIHl2fGBF0AkF3CNujXAVstW7Y0eZNTor+c9Rez+0OzNegAHW86yEcHFekELTpwqG3btmbilORodggd9Kcj/jXPtA4MC5RNI7uOAQCaH10HdwbKegJPOohWB++mZkImvaDSyeMoWwDhIuyC/oULF5pMGJr9QrNipETzZPub6a9z584+o/A1s4Eu11kEdVIdvX2ruYU1Fd+iRYv87n/p0qXm4kNbhTSft2b40AlE9P+Bsidk9TEA5Dw6sZGmRdSZZnUiM82YohmQXnzxRSlYsGCwTy8s2JN5zZ49W+677z756aeffLLYaKPNf//7X7npppskX758yWaWAoCQYoUZzYih2Syio6PNwJqZM2cmu70O2po/f77JYOH+0OwP3oYPH272qZkm3GnWCx0ApNkk3B08eNBkpNBBWO52795tBgcNHTo0KMcAkPMsXrzYZ+Ch/r5B2jLO6CBW9zLUQaM6AFv/5lSuXNkM6NXHM888Y7LmAEC4CLug39arV68Ug/41a9b4ZL4IRLNM6C9yzcrhbcWKFeZYvXv39lg+YMAAs3zhwoU+72nWrJkJyt0za2THMQDkTNoYotlutPFAs+HMmTMn2KcUtvRvx8CBA83vajtzj2b+0axJmsFF02cCQLgJ2/m/U9Pn8uWXXzaTumj//3bt2iU7o+KCBQtMH03tRuPNngl0yZIlZlKPkiVLmlu+dnccf+9p0aKFmXRFZxjUCT+y6xgAcqbIyEjTHx0Z16ZNG/MAACcJ26A/pYwJmp7OnqlR+8RrtgWdgU/TsOmslt7smRx1Bkt/s/np1O7aZ1b70utshWvXrjWzI+ofWl3nrUGDBq4ZALPzGMnR2R11lkctCzJOAAAAhCftraMza1eoUMEkp3F00J+Sb7/9Vq699lo5dOiQyaOsBTN58mT57LPPzJTb7lO6K53uW1WqVMnv/nRwnAbkejGhAbm9vb9g3N7entJd8zprmrfsOEZyNOCvXLlystsAAAAgPGicGyiuzDFB/8iRI81Dr4S2bdsmEydONN1rtHBuvvlmkwJTr46UprSLj4/3CKS9FS1a1DzrBYQ6fvx4qrbX7jynT5822TOy+hh6t8A7U5A+bPY8bFoGUVFRfvcJAACA0KY9QbQhV3tvpJZjg36bdmNp1KiRzJ8/X+666y6555575OjRo6abj/aFV9qH3hYotZ1960QvENzfk9L29nvcc+pn1TG86YXOhAkTfJZrwE/QDwAAEN7S0l077PL0Z4TmrrYHvOoAWe3jrjTXsndruDfNzazs1nT7PSltb78nO47hTaeI1zsA9kNb+AEAAJDz5KigX+l09NWqVTO3RezuM+5BeaDJruLi4sxzqVKlzHO5cuVStX2hQoVMpqHsOIY3HQBst+rTug8AAJBz5bigPyIiQtq2bWteFy5c2DzrANh69eq5Brv6o12ClHYVUvZA4NRunx3HAAAAAPzJcUG/Kl++vNSvX9+0kNs6depknnfu3OmzvQ6s1e4xur19wWBPwX7s2DHXwFt3f/75p3nu0qVLth4DAAAA8JYjg/4dO3bIY4895rFMc/jrwNg1a9b4bL9u3Trz3L17d1cXHe0u07t3b/M60Ht0fzqOIDuPAQAAADgm6Nc0lUrz0wfq7+5v3S+//GIGxmoA7i46OloGDRpkct5rnnx3s2fPNrP5jh8/3mO5/l9b5j/66COfiwpNCTpw4ECz3+w8BgAAAODDCkMJCQlWgwYNNKWNNXDgQJ/1GzdutHLnzm3Vrl3b+vrrr82yK1euWMuWLbMeeeQRKz4+3u9+dXnjxo2t5s2bW7GxseY9b775ppUvXz5r0aJFft8zd+5cK2/evNacOXPM/w8cOGA1atTIatWqlXXu3LmgHCOQ06dPmzLTZwDILv/884+1a9cu89DXAICMSU9Ml0v/kTBy9913y9KlSyUhIcG1TDPjvPTSSzJkyBBXKkudmEtn39Vc93Xr1pVWrVqZrjMdOnRIdv86c+9zzz0nX375pek6o33/X3jhBZ8ZfN2tXLnStMjHxMSYnPr9+/eXRx991CNNZ3Yfwx/NWKQTeunYAfL0A8gO+jura7c75Uz8/2YhiypcSJZ/ucSVnQwAkHbpienCLuhH+hH0A8huu3fvltvu6iV1O973v/9f+ZEsXbzQNMYAALIvpnP8jLwAgOCLKlXePCclXZJ9+/aZ18WKFaPFHwCyCUE/ACBbnD8bJ0djYmTY8CfMnCl09QGA7BO22XsAAOEl8UKCSO48UqdDP9PdR/v52zOLAwCyFi39AIBsVaRkOYmMjKTUASAb0dIPAAAAOBxBPwAAAOBwBP0AAACAwxH0AwAAAA5H0A8AAAA4HEE/AAAA4HAE/QAAAIDDEfQDAAAADkfQDwAAADgcQT8AAADgcAT9AAAAgMMR9AMAAAAOR9APAAAAOBxBPwAAAOBwBP0AAACAwxH0AwAAAA5H0A8AAAA4HEE/AAAA4HAE/QAAAIDDEfQDAAAADkfQDwAAADgcQT8AAADgcAT9AAAAgMMR9AMAAAAOR9APAAAAOBxBPwAAAOBwBP0AAACAwxH0AwAAAA5H0A8AAAA4HEE/AAAA4HAE/QAAAIDDEfQDAAAADkfQDwAAADgcQT8AAADgcAT9AAAAgMMR9AMAAAAOR9APAAAAOBxBPwAAAOBwBP0AAACAwxH0AwAAAA6XN9gnAABwlpiYGImLizOv9+3bJ5cvXw72KQFAjkfQDwDI1IC/a7c75Uz8OfP/xIsXJPZknCQlJVHKABBEBP0AgEyjLfwa8NfteJ9ElSovR/ZsleNLP6S1HwCCjD79AIBMpwF/8fJVpVDx0pQuAIQAgn4AAADA4Qj6AQAAAIcj6AcAAAAcLmyD/uXLl0vLli1l1qxZyW63efNm6dq1q1SvXl1q1aolY8aMkfPnzwfcPjExUV555RWpU6eO1KxZU9q2bStr1qwJu2MAAAAAYRv0L1y4UJo3by633nqrrFu3Ltltly5dai4M2rdvL3/99Zds2rRJfvzxR/P/c+f+N52cu4sXL0rnzp1lzpw5snLlStm7d6888sgj0qFDB1m0aFHYHAMAAAAI66C/SZMmplU8Ojo62e0OHTokffv2lXbt2snIkSPNsqJFi8qMGTPk559/llGjRvm8R1vPV69eLTNnzpQqVaqYZT179pQePXpI//79TcAdDscAAAAAwjror1GjhkRGRsq1116b7HYTJkyQs2fPmkDanXapadq0qbz77ruya9cu1/L9+/fL1KlTpV69etKsWTOP9/Tr18+0qD/99NMhfwwAAAAg7IN+W/78+QOuu3TpkqurjHaL8daiRQuxLEumT5/uWrZgwQIzY6S/7bU7kVqyZInExsaG9DEAAAAAxwT9uXLlCrhu7dq1cubMGXNHoGLFij7rGzRoYJ61m437wGD7ToK3EiVKmP3oAFztSx/KxwAAAAAcE/QnZ8uWLebZX6CsihUrZp63b9/umhrefk+lSpWSfc+vv/4a0scAAAAAvOUVBzp+/LhHUOxNB8Iq7Wpz+vRpKViwoMTHx6fqPSdOnAjZY+jdAu9MQfqw6V0DAAAA5DyObOm3+8RroO1P7tz/97EvXLjg2j4179HtQ/UY3iZOnGguDOxH5cqV/e4HAAAAzubIoD9fvnzmWQe5+qP95m3aOm5vn5r32K3poXgMb5oJSO8A2A9N/wkAAICcx5Hde8qVK2eeA01cFRcXZ54LFSpksgBFRESYAFuD6JTeU6pUqZA9hjcdAKwPAAAA5GyObOlv2LCheT5y5Ijf9UePHjXPjRo1Ms958uQxufPT8p5QPAYAAACQY4L+m266ybSqHzt2zDUo1t2ff/5pnrt06eJa1qlTJ/O8c+dOn+11H9o9RlvU27ZtG9LHAIBwkZR0Sfbt2ye7d+82j5iYmGCfEgA4VoaD/meffTZV273xxhuSkJAg2SEqKkp69+5tXq9Zs8Zn/bp168wg2F69ermWDRgwwCwLtL3q3r27q599qB4DAMLB+bNxcjQmRoYNf0Juu6uXeXTtdieBPwCEatC/cOHCVG03dOhQGTdunGQWTVOpAuWnHz9+vGk1/+ijjzyW79ixQzZv3iwDBw6U6Oho13J9PWjQIJPz3s6Tb5s9e7YUKFDA7DPUjwEA4SDxQoJI7jxSp0M/adZnjNTteJ+ciT/nGqsEAAjD7j06eFVbpefOnZsp+zt//rxs27bNvP7555/9blOzZk157733zCy49nEPHjwo9957r7Rq1UomTZrk855///vf0rhxYxkyZIicPHnSZM2ZMmWKLF261ATd3jPphuoxACBcFClZToqXrypRpcoH+1QAwNHSHPSvXbvWDDDVgan62Lt3r+t1oIe2YHfs2DHgJFNpcffdd5vsNtparqZPny4lS5aUd99912fbvn37yooVK2TatGkmmNa+7/369ZNvv/3Wb+57bVFfvXq1tGjRQpo0aWJa0HXbjRs3So8ePfyeTygeAwAAAMhQys42bdrI1q1b5eWXX3Z11wmUR96mQf/VV18tU6dOlYyaP39+mrbXiw19pFaRIkVk8uTJ5hHOxwAAAAAylKc/V65cMnbsWClfvry8+uqr8vvvv6dnNwAAAABCfXKuBx98UGJjYzPvbAAAAACE3kDeUaNGpXrbm2++OaOHAwAAAJCdLf3utF+/tvprZh3vPv6XLl0yeeZ14CkAAACAMAv64+PjZcSIESZf/7lz5zLnrAAAAACETtDfv39/Wbx4sWndj4yMNOk08+b13e3x48fNXQAAAAAAYRb0f/XVV+Z55syZZsIozcvvz6FDh6ROnToZPRwAAACA7A76K1WqZLr13H///cluV7lyZZPtBwAAAECYZe8ZP368GcCbkJCQ4rbdunXL6OEAAAAAZHfQf/fdd5uJul566aVkt9M+//fcc09GDwcAAAAgu7v3vPDCC+b5m2++kbNnz5qBvN6SkpLk559/llOnTmX0cAAAAACyO+jX3Ptr1641LfmbNm3yu02uXLnMen0GAAAAEGZB/7hx46RDhw7Sp08fqVatmkRERPgE9xcuXDAt/TpBFwAAAIAwC/rbtWsn3bt3l48//jjZ7S5fvixly5bN6OEAAAAAZPdAXvXqq6+aoD45GzdulO+//z4zDgcAAAAgu4P+GjVqBJyUy/b444/LVVddlRmHAwAAAJCd3XtSmnArMTFR9u7dKxs2bJD58+eTthMAAAAIt6B/1qxZruw8KXn55ZcJ+gEAAIBwC/rVgAEDpEWLFn67+MTFxcnMmTNlxIgRpOwEAAAAwjHoL1GihLz//vvJbpM7d24ziFeDfwAAAABhFvSvW7cuxW2GDh1qZuqtXbu2PP300xk9JAAAAIDszN4THR2d4jZ58+aVAgUKyLRp0zJ6OAAAAADB6NOfHO3Tr8H+0aNHpWjRoll9OAAAAACZHfSnlJ/fXZ8+fTJ6OAAAAADZHfSnlKpTu/VUrVpVevToIePGjcvo4QAAAABkd9CvOfq/+eYbadeuHSk5AQAAACcG/U2aNJH27dtnztkAAAAACL2gf/369R7/P3z4sBw8eFCioqKkVq1akj9//oweAgAAAEAwU3baPv/8c2nUqJHpv9+mTRvzumTJknL33XfL77//nlmHAQAAABCMoP/ZZ5+V7t27y/bt283AXvtx/vx5WbhwobkAmD17dmYcCgAAAEB2B/1Lly6Vl19+WYoXLy6jR4+W77//Xo4dOyaXLl0yQf+ePXvktddekzFjxsjGjRszejgAAAAA2d2n/80335Qbb7xRPv30UylRooRPDn/t1//YY49J/fr15dVXXzXbAQAAAAijlv5t27bJ/PnzfQJ+b5rSU1v9AQAAAIRZ0F+6dGkpU6ZMitvFx8fL33//ndHDAQAAAAhG0L9v375kt7ly5Yo8/PDDUqlSpYweDgAAAEB2B/2DBw+WW2+9VdasWeOz7vTp0/Lee+/JtddeK3PnzpX+/ftn9HAAAAAAsnsgb58+fWTVqlVmMK/m5a9SpYrkypXLdOU5fvy4K31nx44dzYBeAAAAAGGYp3/GjBny7rvvSkREhGzZskU2b94sR48eNd16dEbep556SpYtWya5c2faXGAAAAAAsqul3zZo0CAZOHCgrF69Wn777TdJSEiQmjVrSocOHaRYsWKZdRgAAAAAWRn0a3pOfwN5y5cvb15rS3779u3NQ2n3niVLltCXHwAAAAiiNPW30Zl1dVCuPrp37y4bNmyQwoULB9xeLwiio6NlxIgRpl8/AAAAgBAP+ufMmWOC/H79+smOHTtMd54iRYok+57WrVvLfffdJ2PHjs3ouQIAAADI6qD/u+++k6ZNm8qsWbMkMjIy1e+77rrrpGDBgrJz5870nCMAAACA7Ar6Ndf+iy++mK4DPfjgg/L++++n670AAAAAsmkg79atW+X6669P14EqVKjgdyAwACD8xcTESFxcnJmh/fLly8E+HQBARoL+c+fOSUZoNh8AgPMC/q7d7pQz8eck8eIFiT0ZJ0lJScE+LQBAerv3nDhxIt1ZeBITE+XgwYPpei8AIHRpC78G/HU73ic1Wt4hV6wrtPYDQDgH/VWrVpUff/wxXQdasWKFlClTJl3vBQCEvqhS5aVQ8dLpfn9S0iXTPWj37t3m7gEAIEhBf6dOnWTChAlpPoj279Qc/82aNUvzewEAznf+bJwcjYmRYcOfkNvu6mW6CxH4A0CQgv5BgwbJmjVrZMiQIanur6ndgYYNGybr16+X3r17p/c8AQAOlnghQSR3HqnToZ/pJqTdhbTbEAAgSN17NGWnpt6sX7++fPzxx3Lq1KmArfsrV66U5s2by/Tp080kXbfffnsmnTYAwImKlCxnugkBAIKYvUeNHj1atmzZIgsWLDAz7ebOnVuuvvpqKVu2rJQqVcoM2D127JhJz3nmzBnT0l+tWjUzmy8AAACAEG/pt82bN0/+9a9/SUREhGnR1wB/1apVMn/+fFm8eLH88MMPcvr0aRPwt2nTxvy/SpUqEgxLliyRXLly+Tx69erls+3mzZula9euUr16dalVq5aMGTNGzp8/H3DfeoHzyiuvSJ06daRmzZrStm1b0/0pOdlxDAAAACDDQb964oknZNeuXfL4449LdHS0WaZBvj6KFCliAlu9APj+++/NxFzBMnHiRL/Ln3zySY//L126VFq2bCnt27eXv/76SzZt2mQyFen//c1PcPHiRencubO5g6HdmPbu3SuPPPKIdOjQQRYtWuT3mNlxDAAAACDD3XvcaWv166+/bh7aWq39+wsUKCDFixeXUKB3HyIjI83FiTvtklS7dm3X/w8dOiR9+/aVdu3ayciRI82yokWLyowZM+Sqq66SUaNGybRp0zz2oS30q1evNgOU7bsYPXv2NHcW+vfvL02aNDHlk53HAAAAADK1pd+bBvvaoh8qAb/dyj927FipW7eux8M94FeahvTs2bMmkHanXWqaNm0q7777rseFw/79+2Xq1KlSr149nzSk/fr1M632Tz/9dLYfAwAAAMjSoD/UaOv4Tz/9JAcOHDATvQRy6dIlV1cZ7XrjrUWLFqbLkmYgsukgZk1Z6m97zVaktDU+NjY2244BAAAA5LigX1v5L1y4YOYU0O4z2pr+9ddf+2y3du1ak2VIuwFVrFjRZ32DBg3Ms3azsS1fvtw816hRw2f7EiVKmP3oAFx79uLsOAYAAACQo4J+bf0+ceKE6TqTJ08es+yXX34xg2J14LG2qts0/ajyF4yrYsWKmeft27ebTEXu76lUqVKy7/n111+z7RgAAABAjgr6S5YsadKEarcevQD48MMPpXz5/53sZfLkyTJ+/HjXtsePH/cIor3pYFulXW00DanePYiPj0/Ve/TCI7uO4Y9m/9E7DO4PAAAA5DyODPq9g2MdPKsXAK1atTLLNO+9psxUdp/4ggUL+n2/ZvqxaTDu3oc+pffo9tl1jEBdnPTz24/KlSsH3BYAAADO5fig3xYVFSUrVqyQqlWrmoG1n332mVmeL18+8+ze5ced9pt370tvb5+a9+j22XUMfzS7j945sB+aNhQAAAA5T44J+u3A/9lnnzWvdaIrVa5cOfPsb3IsFRcXZ54LFSok+fPn9wjKU3pPqVKlsu0Y/ujAYf3M7g8AAADkPDkq6Fc6m60qXLiweW7YsKF5PnLkiN/tjx49ap4bNWpknnVgsObOT8t7suMYAAAAQCA5Lui3B/Rqbnx10003mVb1Y8eO+R0U++eff5rnLl26uJZ16tTJPO/cudNne92HdqXRVvu2bdtm2zEAAACAQHJc0L9jxw6pXr263Hrrreb/2uWld+/e5vWaNWt8tl+3bp0ZNNurVy/XsgEDBphlgbZX3bt3d3XRyY5jAAAAADkq6L9y5YqcOnXK7zrN3DNz5kzT392mKTy11fyjjz7yuUDYvHmzDBw4UKKjo13L9fWgQYNMXn3vPPmzZ8+WAgUKeKQFza5jAAAAADkm6L/jjjukdOnSMmLECDl58qQrV/7IkSNNcO3dJaZmzZry3nvvmVlw586da5YdPHhQ7r33XpPmc9KkST7H+Pe//y2NGzc2M/7qMTTLzpQpU2Tp0qUmsPeeSTc7jgEAAAD4k1ccSIP7mJgYmT59umkVb9OmjQmsNXNPoBSXffv2lTJlypjW83Hjxpn8+Jrf/9FHH/XbhUZb7VevXi3PPfecNGnSxHTFqV+/vmzcuNE1cDcYxwAAAAByRNB/4403yoYNG9L8vo4dO5pHahUpUsTM8KuPUDoGAAAA4PjuPQAAAAD+D0E/AAAA4HAE/QAAAIDDEfQDAAAADkfQDwAAADgcQT8AAADgcAT9AAAAgMMR9AMAAAAOR9APAAAAOBxBPwAAAOBweYN9AgAAeEtKuiT79u1z/b9YsWJSrlw5CgoA0omgHwAQUs6fjZOjMTEybPgTEhERYZZFFS4ky79cQuAPAOlE0A8ACCmJFxJEcueROh36SakKVeXMiX9k98qPJC4ujqAfANKJoB8AEJKKlCwnxctXDfZpAIAjEPQDANIsJibGtLwr7Xt/+fJlShEAQhhBPwAgzQF/1253ypn4c+b/iRcvSOzJOElKSqIkASBEEfQDANJEW/g14K/b8T6JKlVejuzZKseXfkhrPwCEMPL0AwDSRQN+7XNfqHhpShAAQhxBPwAAAOBwBP0AAACAwxH0AwAAAA5H0A8AAAA4HEE/AAAA4HAE/QAAAIDDEfQDAAAADkfQDwAAADgcQT8AAADgcAT9AAAAgMMR9AMAAAAOR9APAAAAOFzeYJ8AAAApSUq6JPv27TOvixUrJuXKlaPQACANCPoBACHt/Nk4ORoTI8OGPyERERESVbiQLP9yCYE/AKQB3XsAACEt8UKCSO48UqdDP6nb8T45E39O4uLign1aABBWaOkHAISFIiXLSWRkZLBPAwDCEi39AAAAgMMR9AMAAAAOR/ceAECqxMTEmL70mkXn8uXLlBoAhBGCfgBAqgL+rt3uNINoEy9ekNiTcZKUlETJAUCYoHsPACBF2sKvAb9mz6nR8g65Yl2htR8Awggt/QCAVIsqVV4sy6LEACDM0NIPAAAAOBxBPwAAAOBwBP0AAACAw9GnHwAQVpKSLpm0oapYsWJSrly5YJ8SAIQ8gn4AQNg4fzZOjsbEyLDhT0hERIREFS4ky79cQuAPACmgew8AIGwkXkgQyZ1H6nToZ9KHahpRTScKAEgeLf0AgLBTpGQ5iYyMDPZpAEDYIOgHAASchdduRdc+9JcvX6akACBMEfQDAPwG/F273Wm6z6jEixck9mScJCUlUVoAEIYI+gEAPrSFXwN+7Tevs/Ae2bNVji/9kNZ+AAhTBP0AgIA04C9evqqcPn4k5NN3KlJ4AoB/BP1hIjExUd544w2ZOXOmub1eqVIlefHFF+WGG24I9qkBQEik71Sk8AQA/wj6w8DFixfllltukaNHj8rKlSulSpUqsmjRIunQoYN8/PHH0rNnz2CfIgAENX1nqQpV5cyJf2T3yo9M1yQm7AIATwT9YWDMmDGyevVqWb9+vQn4lQb6S5Yskf79+0uTJk2kevXqwT5NAA7K2BNO2Xo0fad2QQIABEbQH+L2798vU6dOlXr16kmzZs081vXr10/mzZsnTz/9tMyfPz9o5wjAeRl7wjVbj3sff/r3A8D/IegPcQsWLDB/dFu2bOmzrnnz5uZZW/xjY2OlZMmSQThDAE7M2BN/8ljYZevx7uNP/34A+D+53V4jBC1fvtw816hRw2ddiRIlpGLFimaQ748//hiEswPglBb+3bt3u7r0aMaeQsVLSzj38dcLl5NxcbJ582bz2fShnxMAcipa+kPcli1bzLNm6/FHb1///fff8uuvv0q3bt2y+ewAhOPsutpQkC9fPvP6+PHj8sjwxyXhQmLYdunx18f/SuJ5n8w+BSIjZOqUyVK6dGmPMqAbEICcgKA/hF24cEHi4+Ndf5T8KVq0qHk+ceKE36w/+rCdPn3aPJ85cyaLzhhAcrQbnj5suXLlEsuykn2d3nXur/X3w6innpGE8xdNn/fYEyekVOkykidPHklMvCAnT52Whh16SmL8GTm27j9y4vBeSYw/LZZ1RU79s19yW5fl9NHDrv9nxrps2UeuXFK2QVuJKlnGrNu+erH0fWCA5NLvwq0MCkTmk3+/NlFKlSqV5d9FuOxDu4vSZRQIXXYs5/5zmyILIevw4cP6TZrHqlWr/G7TunVrs/6hhx7yWTd+/HjX+3lQBtQB6gB1gDpAHaAOUAfEUWVw6NChVMeVtPSHMPvWc3JXcnqL2u7f702z+owcOdL1/ytXrsjJkydN64226oT6FWzlypXl0KFDEhUVFezTCVuUI+UYSqiPlGOooC5SjuFeHzUuPHv2rFSoUCHVxyHoD2EayGvgr4H9uXPn/G5j99G1b0u7i4yMNA93gboJhSqt/AT9lGOooD5SjqGE+kgZhgrqYnDK0e7inVpk7wlh2tdU8/OrI0eO+N1GZ+lVjRo1ytZzAwAAQPgg6A9xnTp1Ms87d+70WaeD83RwbqFChaRt27ZBODsAAACEA4L+EDdgwADJnTu3rFmzxmfdunXrzHP37t09+v87gXZLGj9+vE/3JFCOwUB9pBxDCfWRMgwV1MXwKsdcOpo3S4+ADBs6dKi8++67Jmf/Nddc41reo0cPWbFihezYscPv5F0AAACAIugPAzqIV7vv5M2b1wT5xYsXl7feektGjRolH3/8sQn+AQAAgEDI3hMGtM/+6tWr5bnnnpMmTZqY7j7169eXjRs3SsOGDYN9egAAAAhxtPQDAAAADsdAXoSMH374QW655RaZMGFChvYzadIkM/mY92P06NGSE2RGOepEIWPGjJFatWqZ8SJdunQxY0dyAh3m9N5770mDBg2kZs2a0rRpU/n888/TvT+n10edR+SVV16ROnXqmPLSroj+Eg+kJCYmRgYPHmzqW/Xq1aV3795y8OBBySkyqxzV8OHD/da5adOmSU6xfPlyadmypcyaNStd78/p9TGzyjGn1kfr//8d0XTq+fPnN/Mu3X777fLLL78Ety6meu5eIIt88803VseOHV1TSo8fPz7d+7p48aJVsWJFn2mqIyIirMOHD1tOllnlGBsba9WvX9+64YYbzGv1+uuvWwULFrTWrl1rOdmVK1esvn37WhUqVLC2bdtmlq1Zs8YqUKCAKYO0cnp9vHDhgnXTTTdZ9erVsw4cOGCWLVy40Hw+fU6tffv2mXLq1auXlZCQYCUlJVkjRoywSpcube3evdtyuswqR3X8+HHzs+pd50qWLGmdO3fOcroFCxZYzZo1c33umTNnpnkfOb0+ZlY55uT6+NBDD7k+a548eTx+93/22WdBq4sE/Qi6vXv3moqsf/QyGvR/8MEHVu/eva1du3Z5PPQHx+kyqxxvv/12K1++fNahQ4c8ll9//fVW+fLlrVOnTllONWnSJFN2+gfP3dNPP23lzp3bWrduXZr25/T6OHz4cFNe69ev91jep08fq1ChQqn6nFpnGzdubP6IxcfHeyyvXLmy1bBhQysxMdFysswoR9vYsWOtkSNH+tQ5759nJ/8e1Iuo6OjodAWr1MfMKcecXB9XrFhhlSpVypo9e7Z15swZ69KlS9bnn39ufsdpWUZFRZmLoWDURYJ+hIzRo0dnKFi9fPmyVadOHeu3336zcrKMlKO25Ot7u3Tp4rNu2rRpZt2YMWMsJ9JfzsWLF7eKFi1qfkm70zqln7158+ap3p/T6+Nff/1l5c2b17RO+/ujp+WlFzwpmTNnjtl22LBhAevyO++8YzlVZpWjXYe1VfDEiRNWTqcto+kJVnN6fcyscszJ9bFXr17Wli1bfJavWrXK1eI/Y8aMoNRF+vQjZGi/t4xYtGiRmaF4/fr1cuDAAcmpMlKOmgJWaR9Oby1atDDPM2fOlMuXL4vTaDrcU6dOmT78mh7XXd26daVo0aKmbm3fvj1V+3N6fVywYIEkJSX5rSvNmzc3z0uWLJHY2NgM17kPPvhAnCqzylFpH+moqCj55ptv5OjRo5KTpff3YE6vj5n59ySn1sc2bdp4zKlka9++vVx77bXm9fHjx4NSFwn6ETJ0YE9G6CA4HfDSv39/M9hFf8A2bNggOU1GylEHbSl/k71pmlh17Ngx2blzpzhNcp9dy9T+/Jo+NzWcXh+TKy8dtFaxYkUzOPXHH38MuI+EhAT57rvvAu5HB1MrnZhQL6CcKDPKUV24cMEMGt+1a5fcc889UqlSJbnzzjvl999/l5woPb8HqY+ZU445vT4+8sgjAddFR0eb56pVqwalLhL0wxH0F4tOX61ZL/SXlHZd+/bbb+X666+X119/PdinFxa0JfHQoUPmtf6C9hYREWHmjFC//vqrOI3+8gz02VWxYsVS/dlzQn3MjPLSctLgINB+7H1o+W3dulWcKLPq3U8//SRVqlRxBRN690CzTmmL47x58zL9vJ2I+ph5qI/+nThxwvxt6Ny5swSjLhL0wxGuuuoq+fnnn+XPP/80ratvvPGG6Y5x5coVefLJJ+XDDz8M9imGPPfbjfYvFG9apvYvLqd+/sz47E6vj/rHKD4+PsPllVKds/eR0n5yejmqdu3amTtJ+/fvN+n8dDJH7Zqhx+jXr5+sXLkyCz6Bs+T0+piZqI/+W+/XrVsnAwcODPjzntV1kaAfGfbUU0/5zcGb3OOBBx7IspIvU6aMPP744/Lbb7+ZnNdKAy3NPR/Kgl2O7n2GCxYs6HcbnQ1a2S0QTipH+/Nn9mcP1/qYHXUlpf3Y+0hpP+Eqq37mKleuLC+88IJs2rRJypYta8bgPPzww6ZVEOn/PpxeH7MK9fF/TZ8+XYoUKWJ+NoNVFwn6kWHad/n/Z4JK9SMjE32kVoUKFWTVqlXmh0wHaOpgolAW7HLMly+f63Wg4ED7Ftt9jZ1Wjvbnz6rPHm71MTvqSkr7sfeR0n7CVVb/zNWrV88MUNcA4Y8//jAXAUj/9+H0+pjVcnJ9jI2NlZdeeklmz56dqrqTVXWRoB+Opn3hHnvsMfN67969wT6dkFauXDnX63PnzvndJi4uzjyXKlVKnPr5s/KzO6U+6h8Z+49SRsorpTpn7yOl/eT0ckzOddddJ3369An7Opcdcnp9zA45tT4+9NBDMmrUqBT78md1XSToh+N16NDBPBcuXDjYpxLyt2DtvoNHjhzx+0vGbl3QqcWdpmHDhgE/u7JTzmX0szuhPubJk8e02mW0vDQjkp0dxN9+7H1oYKzjJJwms8oxJ9S57JDT62N2yWn18eWXXzaD7LVbZ7DrIkE/HK98+fIeeW0RWKdOncyzv5ScOihV1apVy5V2LKd8dr29um/fPvO6S5cuGTqOU+pjcuWlA8s0jZxme2rbtm3AfRQvXlyaNWuWYp274YYbXJmjnCYzyjE1dU4vMHQOCgRGfcweOak+zpkzx6Qp1fSloVAXCfrheDt27DCTWzRu3DjYpxLyBg0aZJ7XrFnjs06zDijNuexEd999t5lIRj+npjv0rkNnz541v2A1b3pGOKU+DhgwwPTNTa6udO/e3aNvqj85uc5lZjmmVOd69+5tBpUjeTm9PmaHnFIfFy9eLF988YXMmDHDZ74DHVxvp8jO1rqYpvl7gSw0duxYM630s88+G3Cbbdu2WS1btrSeeuopj+UXL160Tp8+7bN9YmKi1b59e+u3336zcoqMlKPq3LmzFRkZacXExHgsb9KkiVW2bFnr1KlTllO98sorpuyWLFnisfyJJ56wcuXKZf3www8ey3N6fRwyZIgpL+8p57t3724VKFDA2rt3r2vZt99+azVr1sx68803fcqkQYMGpm6dP3/eowwrVKhg1a9f32zjZJlRjufOnbMSEhJ89h0XF2e1bt3a5+fZ6fr27WvKdPr06X7XUx+zthxzen1csmSJ1a1bN+vChQs+6/755x/r3nvvtb777rtsr4sE/QgJly9ftm6++Wbzy6VTp07m//48/PDDZht9nDhxwrVcfzA0UH3xxRfNLxu1f/9+a/DgwdYvv/xi5RQZLUf1999/W9WrV7duv/12U5aXLl2yRo0aZRUpUsRau3at5WRJSUlWly5drJo1a1oHDhwwyz799FMrX7581uTJk322z+n1MT4+3mrcuLHVvHlzKzY21rpy5Yr5w6XltWjRIo9tu3btasqpcOHCPvvZvn27VbJkSWvo0KGmvmmZabBRrlw5a/fu3ZbTZbQctd4WL17cKlq0qDVt2jRXILBjxw5rwIABHhcNOYEGm/ozqOU0cOBAv9tQH7OuHHN6fZw7d66VN29eq1ixYub3mvtD/45qeVWuXNn8nGd3XSToR9A9+eSTVlRUlCt40of+X1usvekVcYkSJcwVtP0DoxYuXGiuevPnz2+VKVPG6tmzpzVlyhRXwJUTZEY5urdEPPDAA1a1atWsWrVqmVaJffv2WTmB/oGaMGGC+dw1atQwLfPff/+9322pj5Z15swZa/jw4eZCUS+W9GJx69atfv8Q6h88vVDyZ8+ePdZdd91l6lx0dLTZ7ujRo1ZOkdFyfPvtt02d1YtNDSg0MJgxY4YJFHKS3r17WwULFvT4Pai/69555x2P7aiPWVuOObU+Llu2zNwVdi83f4/Ro0cHpS7m0n/S1iEIAAAAQDhhIC8AAADgcAT9AAAAgMMR9AMAAAAOR9APAAAAOBxBPwAAAOBwBP0AAACAwxH0AwAAAA5H0A8AAAA4HEE/AAAA4HAE/QAAAIDDEfQDAAAADkfQDwBIlW3btsngwYOlcOHC2V5i33zzjRQvXlxeeOEFyYnatGkj69atC/ZpAAhjBP0AEKamTp0qDRo0kFy5crketWvXlnHjxvndfuvWrdKlSxfXtuXLl5f33nsvVceaMmWKDBo0SN5//305d+6cZLcvvvhC4uLiZOHChRIMs2bNMmVWokQJqVWrluuRkJCQ5cc+cuSIHDp0SFq0aJHq91x//fWucyxbtqw59+effz5LzxNAaCPoB4Aw9fDDD8svv/wirVq1ci1btGhRwNbwRo0ayYoVK+SWW26RMmXKmPdqy31qPPbYY/L5559LsAwcONAEvaNHj/a7fs2aNdlyHloOf/75p+tRsGDBLD/mZ599JnfddZcJ3FNL7wrY5/jqq69m6fkBCA8E/QAQxiIjI2X8+PGu///xxx8pvufw4cPy7LPPSsWKFdN0rFKlSkmwXHvttSaQve+++3zWXblyxVwAOZXe3ejZs2ewTwNAmCPoB4Aw17FjR6lXr555PXv27GS33bFjhxw4cEAefPDBNB8nb968EoomTpxoPpcTpadrDwD4Q9APAA6g3U6Udt/566+/Am6nffi1tbxQoULiBB9++KE899xz4lTp6doDAP4Q9AOAA/Tr189kt9GuLm+99ZbfbXTQ6dy5c2XIkCEey3/77Tfp06eP1K9f32TmadiwoQmm0+r8+fOm1b1x48ZmAGm5cuXk7rvvlp07dwZ8z3//+1/p1KmTREdHm+1vuOEGk6nHXWJiosyfP1/atm0r/fv3dy1/7bXXzPEsyzL/tweuPvPMM1K6dGmPAc5RUVGyevVq13uXLVtm+uPruty5c3usS4+LFy+awc46OHr//v2mLEaOHGm6ROnneuWVVzwGVOtn1rKuU6eOLF26NE1de44fPy7333+/XHXVVeY7tz/j5MmTM/QZADicBQBwhNGjR2v0axUtWtQ6e/asz/oZM2ZYbdq08Vj21VdfWdWqVbPWrl1r/n/o0CHrmmuuMft5/vnnffahy/396YiNjbWaNGli3XXXXVZcXJxZ9ssvv1gVK1a08uXLZy1dutTnPS+//LJZv379evP/48ePW5UrVzb7nzVrlln2zz//WPfff79VokQJs1xfp+acTp8+bbVq1cosj4iIcJ2TOz2nPHnyWD/99JOVkpkzZ5p9jR8/3mfdZ599ZjVs2NB1Hrt377ZuvPFGq3Tp0laRIkVcyxcsWGCtW7fOKly4sPmckZGRZrmWz759+3z2+/fff1tVq1a1rly54lp26dIlU85PPPGElZSUZJYtXrzYKlCggDVp0qQ0nzuAnIOgHwAc4sCBAyaI1QDv7bff9lnftGlT65NPPnH9/8SJEyaYnj9/vsd2GzZsMPvInTu39ccff6Qq6O/Tp48VFRXlE1z/97//NdtroKvnZ1u2bJlZPm/ePI/tBw8ebJY3aNDAY/lLL72UpqBf7dq1y8qbN69Zd/DgQZ/1r7/+unXbbbdZqZFc4Hz+/HlzkaUXF7rNvffeaz6fSkxMtO68806zXMv/9ttvt3bs2GHWaVk1atTIrJs4caLPfqdMmWI9/vjjHsvWrFljtt++fbvH8gkTJhD0A0gW3XsAwCGqVKkid955p3mtXXzsbi9q8+bNpttJ9+7dXcu0C8/Zs2elW7duHvvR7j1KuwotWbIkxeNq96B58+ZJu3btpGjRoh7rdFmzZs0kPj5e/vWvf7mWa8ahIkWKSO/evT221yw82vXFvRuP0u46aVW3bl3X/v3NR6BdndIzoNlb/vz5TVedkiVLmv9rWtGuXbua1xEREaabjzp48KDprnP11Veb/2tZ3XPPPa51qenac+zYMdccDe4GDBhAv38AySLoBwAHGT58uHn+/fff5euvv3Ytf/fdd02Amy9fPteyb7/91lwYaDpMDZDth+bz1wBWH3aQmZxPPvnEPFerVs3vejsAXr58uXnWfW7atElq1qzpE6jqZGNfffWVPP744x7LNXhOj1GjRpnnd955x2NSsS1btsjff/8tt956q2Rm+lSlFzPuKlSo4Lo4cC9/9zSoOgYgNVl7dNIt3Y9+nzfeeKP8/PPPZrmmX7W/ewDwh6AfABykdevWct1115nXb775pnnW1vwFCxb4TMSlrcs6w+zu3bt9HidOnDAP99b55Fr6VaAMMzrg1D6e0jsO6vLly5LV9ALm5ptvlpMnT8r06dNdy2fMmGGyGGVHGlIdKJzSOve7Msll7dELCL2roncJvv/+e3MR0Llz52QHSwOA+X1DMQCAs9gtvtrSv2fPHpkzZ460bNlSqlev7rFdUlKSyQQTFxeXoeNpViClLef+aIYZpRl07G5DSlOLege7WcFu7Z80aZL5zBcuXDB3JzKja08wJuS64447zJ2cYcOGmTsH+j3r3ZrFixdn+3kCCB8E/QDgMJoms2zZsiag1jSS2p996NChPttpekndRgNMf3Tdd999l+LxtJuO0kDUHw207a47qlKlSuZZ+/nrvAL+fPHFFxIbGyuZoUOHDnLNNdeYScn0joeOU9BuTPYdiHCckEu/X+3Xv2vXLjM526VLl0y/fi1TAPCHoB8AHEZbf+1c/O+//76cOnXK1a/enebEV2PHjpV9+/b5rNfZfTUATcltt93myj+vQag3DWBVr169XEG/faHw0ksv+XTzOXPmjHzwwQeugbGZ2dqv3ZW0a08ot/InNyHXp59+6jGPQY0aNeQ///mPNG3a1NyxsbtaAYA3gn4AcCAN+jX41xbghx56SPLkyeOzzaBBg8zMvNp3X/uG6+BQ7XKjXYLsia/cM/vovvy91mw7+n73cQTuNCjVIF9bom12Rpt169aZDDt79+41E1z98MMPJuOPdmHxnqDL+7i2AgUKmGftthOIXnBodiO9MNHBr95ZgzKDfW72nQ2b3Z3J3xgGu3uT++dKrmuPev311z26Rel326ZNG9eAXgDwh6AfABxIZ4HVwFYHqg4cONDvNtrirmk7dRvNqKNdgLTlWGeJHTdunBn4qqkobWvXrnW9dp/BVluktdtM5cqVzZ0FDfw10NUgV1//+OOPZkZdzTpj02P16NHD1bKtM+nqeg1e9bX7BYKyuxlt3LjRNYbAZqfA1OPoOg2KvelntDMCaUDtnWEno/744w+JiYkxrzds2OD33LWM3e+oaOBul6mmVNVzT03XHm3pf+CBB8x4DHX48GH5/PPPzUBtgn4AASWfxh8AEK50RtwePXqkuJ3OSNupUycze2yhQoWsjh07umbJtY0YMcI10ZU9cVfnzp09ttHJvh577DGrSpUqVtmyZc0EWw8//LDHpFzudEZZnSCrdu3aZlZafZ48ebJ1+fJl1zY6S2+ZMmVcx9WHnufnn3/u2kbPNTo62syAq5NZ+ZuNWNkTaNmzD6dFcpNzjRs3zpy/fX65cuWyrr76arPuqquu8jh3LcP+/ftbv/32m1WqVCmPdTqBmb8JudwtWrTI4zha1jrB1zvvvONRbqk9dwA5Ry79J/AlAQAAzqB3ArQvf6ABx8mZNWuWmTBMJxV7/vnnJZyE87kDyDx07wEA5AjaXSmUB/ACQFbK+llJAAAIMp1DQPPYp6eVHwCcgKAfAOA4R48elT59+pjsRLfeeqtJAXr//febAc4AkBMR9AMAHEez4tgZhpYtW2YmBnvxxReDfVoAEDQE/QAAx9G5A1q3bi07duwwcw1oGs+iRYtmeL86w/HcuXNd/9+2bZsULFhQQo3Om2Cn9Dx79mywTwdACCB7DwAAAOBwZO8BAAAAHI6gHwAAAHA4gn4AAADA4Qj6AQAAAIcj6AcAAAAcjqAfAAAAcDiCfgAAAMDhCPoBAAAAhyPoBwAAAMTZ/h8UGCkrjD17sgAAAABJRU5ErkJggg==",
+            "text/plain": [
+              "<Figure size 800x1200 with 4 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "vel = ds[\"vel\"]\n",
+        "\n",
+        "vel_dim = [d for d in vel.dims if d in (\"dir\", \"earth\", \"inst\", \"beam\")][0]\n",
+        "labels = vel.coords[vel_dim].values\n",
+        "\n",
+        "fig, axes = plt.subplots(len(labels), 1, figsize=(8, 3 * len(labels)), sharex=True)\n",
+        "\n",
+        "if len(labels) == 1:\n",
+        "    axes = [axes]\n",
+        "\n",
+        "for ax_i, label in zip(axes, labels):\n",
+        "    values = vel.sel({vel_dim: label}).values.ravel()\n",
+        "    values = values[np.isfinite(values)]\n",
+        "\n",
+        "    ax_i.hist(values, bins=50, color=\"steelblue\", edgecolor=\"black\", alpha=0.8)\n",
+        "    ax_i.set_title(f\"Velocity histogram: {label}\")\n",
+        "    ax_i.set_ylabel(\"Count\")\n",
+        "\n",
+        "axes[-1].set_xlabel(\"Velocity [m/s]\")\n",
+        "plt.tight_layout()"
+      ]
+    },
     {
       "attachments": {},
       "cell_type": "markdown",
@@ -932,7 +1037,7 @@
         {
           "data": {
             "text/plain": [
-              "<matplotlib.collections.QuadMesh at 0x25a2a9fdc10>"
+              "<matplotlib.collections.QuadMesh at 0x2446889f410>"
             ]
           },
           "execution_count": 5,
@@ -941,7 +1046,7 @@
         },
         {
           "data": {
-            "image/png": "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",
+            "image/png": "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",
             "text/plain": [
               "<Figure size 640x480 with 2 Axes>"
             ]
@@ -995,39 +1100,86 @@
               "</symbol>\n",
               "</defs>\n",
               "</svg>\n",
-              "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
-              " *\n",
-              " */\n",
+              "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\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",
+              "  --xr-font-color0: var(\n",
+              "    --jp-content-font-color0,\n",
+              "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+              "  );\n",
+              "  --xr-font-color2: var(\n",
+              "    --jp-content-font-color2,\n",
+              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+              "  );\n",
+              "  --xr-font-color3: var(\n",
+              "    --jp-content-font-color3,\n",
+              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+              "  );\n",
+              "  --xr-border-color: var(\n",
+              "    --jp-border-color2,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+              "  );\n",
+              "  --xr-disabled-color: var(\n",
+              "    --jp-layout-color3,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+              "  );\n",
+              "  --xr-background-color: var(\n",
+              "    --jp-layout-color0,\n",
+              "    var(--pst-color-on-background, white)\n",
+              "  );\n",
+              "  --xr-background-color-row-even: var(\n",
+              "    --jp-layout-color1,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+              "  );\n",
+              "  --xr-background-color-row-odd: var(\n",
+              "    --jp-layout-color2,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+              "  );\n",
               "}\n",
               "\n",
               "html[theme=\"dark\"],\n",
               "html[data-theme=\"dark\"],\n",
               "body[data-theme=\"dark\"],\n",
               "body.vscode-dark {\n",
-              "  --xr-font-color0: 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",
+              "  --xr-font-color0: var(\n",
+              "    --jp-content-font-color0,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+              "  );\n",
+              "  --xr-font-color2: var(\n",
+              "    --jp-content-font-color2,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+              "  );\n",
+              "  --xr-font-color3: var(\n",
+              "    --jp-content-font-color3,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+              "  );\n",
+              "  --xr-border-color: var(\n",
+              "    --jp-border-color2,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+              "  );\n",
+              "  --xr-disabled-color: var(\n",
+              "    --jp-layout-color3,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+              "  );\n",
+              "  --xr-background-color: var(\n",
+              "    --jp-layout-color0,\n",
+              "    var(--pst-color-on-background, #111111)\n",
+              "  );\n",
+              "  --xr-background-color-row-even: var(\n",
+              "    --jp-layout-color1,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+              "  );\n",
+              "  --xr-background-color-row-odd: var(\n",
+              "    --jp-layout-color2,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+              "  );\n",
               "}\n",
               "\n",
               ".xr-wrap {\n",
               "  display: block !important;\n",
               "  min-width: 300px;\n",
               "  max-width: 700px;\n",
+              "  line-height: 1.6;\n",
               "}\n",
               "\n",
               ".xr-text-repr-fallback {\n",
@@ -1050,11 +1202,18 @@
               "}\n",
               "\n",
               ".xr-obj-type,\n",
-              ".xr-array-name {\n",
+              ".xr-obj-name,\n",
+              ".xr-group-name {\n",
               "  margin-left: 2px;\n",
               "  margin-right: 10px;\n",
               "}\n",
               "\n",
+              ".xr-group-name::before {\n",
+              "  content: \"📁\";\n",
+              "  padding-right: 0.3em;\n",
+              "}\n",
+              "\n",
+              ".xr-group-name,\n",
               ".xr-obj-type {\n",
               "  color: var(--xr-font-color2);\n",
               "}\n",
@@ -1063,6 +1222,8 @@
               "  padding-left: 0 !important;\n",
               "  display: grid;\n",
               "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+              "  margin-block-start: 0;\n",
+              "  margin-block-end: 0;\n",
               "}\n",
               "\n",
               ".xr-section-item {\n",
@@ -1073,10 +1234,12 @@
               "  display: inline-block;\n",
               "  opacity: 0;\n",
               "  height: 0;\n",
+              "  margin: 0;\n",
               "}\n",
               "\n",
               ".xr-section-item input + label {\n",
               "  color: var(--xr-disabled-color);\n",
+              "  border: 2px solid transparent !important;\n",
               "}\n",
               "\n",
               ".xr-section-item input:enabled + label {\n",
@@ -1085,7 +1248,7 @@
               "}\n",
               "\n",
               ".xr-section-item input:focus + label {\n",
-              "  border: 2px solid var(--xr-font-color0);\n",
+              "  border: 2px solid var(--xr-font-color0) !important;\n",
               "}\n",
               "\n",
               ".xr-section-item input:enabled + label:hover {\n",
@@ -1130,7 +1293,6 @@
               ".xr-section-summary,\n",
               ".xr-section-inline-details {\n",
               "  padding-top: 4px;\n",
-              "  padding-bottom: 4px;\n",
               "}\n",
               "\n",
               ".xr-section-inline-details {\n",
@@ -1140,6 +1302,7 @@
               ".xr-section-details {\n",
               "  display: none;\n",
               "  grid-column: 1 / -1;\n",
+              "  margin-top: 4px;\n",
               "  margin-bottom: 5px;\n",
               "}\n",
               "\n",
@@ -1147,6 +1310,32 @@
               "  display: contents;\n",
               "}\n",
               "\n",
+              ".xr-group-box {\n",
+              "  display: inline-grid;\n",
+              "  grid-template-columns: 0px 20px auto;\n",
+              "  width: 100%;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-vline {\n",
+              "  grid-column-start: 1;\n",
+              "  border-right: 0.2em solid;\n",
+              "  border-color: var(--xr-border-color);\n",
+              "  width: 0px;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-hline {\n",
+              "  grid-column-start: 2;\n",
+              "  grid-row-start: 1;\n",
+              "  height: 1em;\n",
+              "  width: 20px;\n",
+              "  border-bottom: 0.2em solid;\n",
+              "  border-color: var(--xr-border-color);\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-contents {\n",
+              "  grid-column-start: 3;\n",
+              "}\n",
+              "\n",
               ".xr-array-wrap {\n",
               "  grid-column: 1 / -1;\n",
               "  display: grid;\n",
@@ -1217,7 +1406,9 @@
               ".xr-var-item label,\n",
               ".xr-var-item > .xr-var-name span {\n",
               "  background-color: var(--xr-background-color-row-even);\n",
+              "  border-color: var(--xr-background-color-row-odd);\n",
               "  margin-bottom: 0;\n",
+              "  padding-top: 2px;\n",
               "}\n",
               "\n",
               ".xr-var-item > .xr-var-name:hover span {\n",
@@ -1228,6 +1419,7 @@
               ".xr-var-list > li:nth-child(odd) > label,\n",
               ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
               "  background-color: var(--xr-background-color-row-odd);\n",
+              "  border-color: var(--xr-background-color-row-even);\n",
               "}\n",
               "\n",
               ".xr-var-name {\n",
@@ -1277,8 +1469,15 @@
               ".xr-var-data,\n",
               ".xr-index-data {\n",
               "  display: none;\n",
-              "  background-color: var(--xr-background-color) !important;\n",
-              "  padding-bottom: 5px !important;\n",
+              "  border-top: 2px dotted var(--xr-background-color);\n",
+              "  padding-bottom: 20px !important;\n",
+              "  padding-top: 10px !important;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs-in + label,\n",
+              ".xr-var-data-in + label,\n",
+              ".xr-index-data-in + label {\n",
+              "  padding: 0 1px;\n",
               "}\n",
               "\n",
               ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
@@ -1291,6 +1490,12 @@
               "  float: right;\n",
               "}\n",
               "\n",
+              ".xr-var-data > pre,\n",
+              ".xr-index-data > pre,\n",
+              ".xr-var-data > table > tbody > tr {\n",
+              "  background-color: transparent !important;\n",
+              "}\n",
+              "\n",
               ".xr-var-name span,\n",
               ".xr-var-data,\n",
               ".xr-index-name div,\n",
@@ -1350,6 +1555,14 @@
               "  stroke: currentColor;\n",
               "  fill: currentColor;\n",
               "}\n",
+              "\n",
+              ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+              ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+              ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+              "  color: var(--xr-font-color0);\n",
+              "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+              "  stroke-width: 0.8px;\n",
+              "}\n",
               "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;range&#x27; (range: 28)&gt; Size: 224B\n",
               "array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
               "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
@@ -1360,21 +1573,11 @@
               "    coverage_content_type:  coordinate\n",
               "    units:                  m\n",
               "    long_name:              Profile Range\n",
-              "    description:            Distance to the center of each depth bin</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'>'range'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>range</span>: 28</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-27183307-48d8-4334-9d4f-9e05d7a24cc7' class='xr-array-in' type='checkbox' checked><label for='section-27183307-48d8-4334-9d4f-9e05d7a24cc7' 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>1.2 1.7 2.2 2.7 3.2 3.7 4.2 4.7 ... 11.7 12.2 12.7 13.2 13.7 14.2 14.7</span></div><div class='xr-array-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
+              "    description:            Distance to the center of each depth bin</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;range&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>range</span>: 28</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-14534b9f-1fd5-42d0-b6c8-5748910f462b' class='xr-array-in' type='checkbox' checked><label for='section-14534b9f-1fd5-42d0-b6c8-5748910f462b' 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>1.2 1.7 2.2 2.7 3.2 3.7 4.2 4.7 ... 11.7 12.2 12.7 13.2 13.7 14.2 14.7</span></div><div class='xr-array-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
               "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
-              "       13.2, 13.7, 14.2, 14.7])</pre></div></div></li><li class='xr-section-item'><input id='section-0182f8e5-1c9b-476b-af6c-5e3eaa33364e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0182f8e5-1c9b-476b-af6c-5e3eaa33364e' class='xr-section-summary' >Coordinates: <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 class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7</div><input id='attrs-8ce42991-ade4-4c8c-b8e4-ef266c967ef8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ce42991-ade4-4c8c-b8e4-ef266c967ef8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-127f377e-0b3a-46b3-9028-0af3c4ab733e' class='xr-var-data-in' type='checkbox'><label for='data-127f377e-0b3a-46b3-9028-0af3c4ab733e' 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>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div><div class='xr-var-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
+              "       13.2, 13.7, 14.2, 14.7])</pre></div></div></li><li class='xr-section-item'><input id='section-d1ac6318-0d78-43ce-9e2c-3018b022ef74' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d1ac6318-0d78-43ce-9e2c-3018b022ef74' class='xr-section-summary' >Coordinates: <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 class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7</div><input id='attrs-3fe7fb42-53f7-4b55-bde8-e0d16f4e76b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fe7fb42-53f7-4b55-bde8-e0d16f4e76b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21fdbb8b-8911-4416-8500-98679374b3a7' class='xr-var-data-in' type='checkbox'><label for='data-21fdbb8b-8911-4416-8500-98679374b3a7' 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>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div><div class='xr-var-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
               "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
-              "       13.2, 13.7, 14.2, 14.7])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8e8bb7c5-5914-419d-a3aa-7e595f1cc63d' class='xr-section-summary-in' type='checkbox'  ><label for='section-8e8bb7c5-5914-419d-a3aa-7e595f1cc63d' class='xr-section-summary' >Indexes: <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-index-name'><div>range</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-eeb0489d-3509-4e51-8c17-c60ea011f3f3' class='xr-index-data-in' type='checkbox'/><label for='index-eeb0489d-3509-4e51-8c17-c60ea011f3f3' 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([               1.2, 1.7000000000000002,                2.2,\n",
-              "                      2.7,                3.2,                3.7,\n",
-              "                      4.2,  4.699999999999999,  5.199999999999999,\n",
-              "        5.699999999999999,  6.199999999999999,  6.699999999999999,\n",
-              "        7.199999999999999,  7.699999999999999,                8.2,\n",
-              "                      8.7,                9.2,                9.7,\n",
-              "                     10.2,               10.7,               11.2,\n",
-              "                     11.7,               12.2,               12.7,\n",
-              "                     13.2,               13.7,               14.2,\n",
-              "                     14.7],\n",
-              "      dtype=&#x27;float64&#x27;, name=&#x27;range&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5c09138d-d003-4599-bca4-cd197af81125' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5c09138d-d003-4599-bca4-cd197af81125' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div></li></ul></div></div>"
+              "       13.2, 13.7, 14.2, 14.7])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1e357451-b5f3-48c6-933f-91a45eb06d23' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1e357451-b5f3-48c6-933f-91a45eb06d23' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div></li></ul></div></div>"
             ],
             "text/plain": [
               "<xarray.DataArray 'range' (range: 28)> Size: 224B\n",
@@ -1431,7 +1634,7 @@
         {
           "data": {
             "text/plain": [
-              "<matplotlib.collections.QuadMesh at 0x25a2aba1090>"
+              "<matplotlib.collections.QuadMesh at 0x24468f490a0>"
             ]
           },
           "execution_count": 9,
@@ -1440,7 +1643,7 @@
         },
         {
           "data": {
-            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjoAAAHVCAYAAAD4slEKAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAACeZklEQVR4nOzdeZwdVZ3//9c5td69l6Q7nZAVDDsSATUgS0SW4DAgDMroAIL6gy8iCIMobgREo44i46AgDhAUUWaGxQ3RjBIQhZEtIogoGkgMCVlIL3et9fdH3b7QJEB33+6+ofN5Ph71ILdu1alzb1fSH06dqreK4zhGCCGEEGIS0q3ugBBCCCHEeJFCRwghhBCTlhQ6QgghhJi0pNARQgghxKQlhY4QQgghJi0pdIQQQggxaUmhI4QQQohJSwodIYQQQkxaUugIIYQQYtKSQkeICbBkyRKUUkPWzZkzh/e///2t6dA2zJkzB6UUZ5111lbvrVixAqUU//M///OqbSxbtgylVGPZtGlT470nnniCs88+m4ULF5LJZFBKsWLFim2209bW1mjjnHPOaepzCSF2bFLoCNEit99+O5/5zGda3Y2tXHfddTz11FNNtXHbbbdx//3309bW1lj30EMPcccdd9DR0cHhhx/+qvv/7//+L/fff39TfRBCCJBCR4iWWbBgATvvvPOrbuP7PkEQTFCPaIy2fPKTn2yqnQULFvDWt74V0zQb60455RSee+45fvrTn3Lqqae+6v77778/b33rW5vqgxBCgBQ6Qoy5n/70p+y77744jsPcuXP5yle+ss3tXn7pavDy0He/+13+9V//lRkzZuA4Dk8//fQE9Rw6Ojr4xCc+wW233cYDDzwwpm1rLf/cCCEmnvnamwghhuuXv/wlxx13HAsXLuQHP/gBYRjy5S9/meeff37YbVx88cUsXLiQa665Bq01XV1dr7htGIbEcfyabWqth11onHfeeVx11VVcdNFF3HvvvcPutxBCbI+k0BFiDH3qU5+iu7ub5cuX47ouAEcddRRz5swZdhs777wz//3f/z3sbZ999tnX3O6SSy5hyZIlw2ozlUqxZMkSPvShD/GTn/yEf/iHfxjWfkIIsT2SQkeIMVIqlXjwwQc5++yzG0UOQC6X49hjj+XGG28cVjsnnnjisI/54x//mFqt9prbTZ8+fdhtApx++ul87Wtf4xOf+ATHHHPMiPYVQojtiRQ6QoyRLVu2EEUR06ZN2+q9ba17JT09PcPedo899hj2pauRMAyDL3zhCxx//PHceOONzJ07d0T7CyHE9kJmBwoxRtrb21FKsX79+q3e29a6V/Ly5+28mp133hnLsl5zueyyy4bd5qDjjjuOgw46iEsuuYRqtTri/YUQYnsgIzpCjJFMJsOb3/xmbrvtNv7t3/6tcflqYGCAH//4x+NyzPG6dDXoS1/6Em9729v4+te/Pqr9hRCi1aTQEWIMfe5zn+Poo4/miCOO4F//9V8Jw5AvfelLZDIZXnjhhTE/3t577z3mbb7UQQcdxHHHHccPf/jDptsql8vceeedAI1b1++55x42bdpEJpNh8eLFTR9DCCFeTgodIcbQEUccwR133MGnP/1p3vOe9zBt2jTOPvtsKpUKl156aau7NypLly7lJz/5CWEYNtXOhg0bOOmkk4asG7wTbPbs2TzzzDNNtS+EENui4uHMZBRCiGFYtmwZp59+Ok8//TSzZ88e8mTkkRh8PpBlWXz4wx/mqquuGuOeCiF2FDIZWQgx5nbZZRcsyxoS6jkSnZ2dWJY1xr0SQuyIZERHCDFmNm/ezKpVqxqv991331GN6qxcubKR8dXV1cWsWbPGrI9CiB2LFDpCCCGEmLTk0pUQQgghJi0pdIQQQogdwNKlSznggAPI5XJ0dXVx/PHH89RTT73mfvfccw/77bcfrusyb948rrnmmgno7diRQkcIIYTYAdxzzz18+MMf5oEHHmD58uUEQcCRRx5JqVR6xX1WrVrFMcccw8EHH8yjjz7KJz/5Sc4991xuvfXWCex5cyb9HJ0oinjuuefI5XIjerS+EEKIHU8cxwwMDDB9+vQRZ8SNRLVaxfO8ptuxbXtIiPBIbNy4ka6uLu655x4OOeSQbW7z8Y9/nB/96Ec8+eSTjXVnnXUWv//977n//vtHddyJNukfGPjcc88xc+bMVndDCCHE68iaNWvYaaedxqXtarVKZypLmeYewglJYPDvf//7IcWO4zg4jvOa+/b19QHQ0dHxitvcf//9HHnkkUPWHXXUUVx33XX4vv+6eAzEpC90crkckJy0+Xy+xb0RQgixPevv72fmzJmN3x3jwfM8yoScygzsJmaQeER8Z/1auru7h6y/5JJLGk8dfyVxHHPBBRfwtre9jb322usVt1u/fv1W7Xd3dxMEAZs2baKnp2fU/Z8ok77QGbxclc/npdARQggxLBMx1cFGY6smLo/VJ568/H/khzOac8455/DYY49x3333vea2L/8uBme8vF6mg0z6QkcIIYTYHhlKYTRRLBgoiEf+P/If+chH+NGPfsS99977mpfnpk2bxvr164es27BhA6Zp0tnZOap+TzQpdIQQQogW0AqMJgZFNDRGdYYjjmM+8pGPcPvtt7NixQrmzp37mvssXLiQH//4x0PW/eIXv2D//fd/XczPAbm9XAghhNghfPjDH+amm27i5ptvJpfLsX79etavX0+lUmlsc/HFF3Pqqac2Xp911lk8++yzXHDBBTz55JNcf/31XHfddVx44YWt+AijIoWOEEII0QKDl66aWUbi6quvpq+vj8MOO4yenp7GcssttzS2WbduHatXr268njt3LnfeeScrVqxg33335XOf+xxf//rXOfHEE8fsexhvculKCCGEaAGjyUtXxgi3H85j85YtW7bVukMPPZRHHnlkhEfbfsiIjhBCCCEmLRnREUIIIVpgTO66Eq9JCh0hhBCiBSb60tWOSgodIYQQogVkRGdiyBwdIYQQQkxaMqIjhBBCtICiudEGGc8ZHil0hBBCiBaQS1cTQy5dCSGEEGLSkhEdIYQQogXkrquJIYWOEEII0QJJodPMpSsxHHLpSgghhBCTlozoCCGEEC0gl64mhhQ6QgghRAvIXVcTo6WXru69916OPfZYpk+fjlKKO+644xW3PfPMM1FKceWVV05Y/4QQQgjx+tbSQqdUKvHGN76Rq6666lW3u+OOO/i///s/pk+fPkE9E0IIIcaXVi9evhrNomVAZ1haeulq8eLFLF68+FW3Wbt2Leeccw4///nPeec73zlBPRNCCCHGl1y6mhjb9RydKIo45ZRT+NjHPsaee+45rH1qtRq1Wq3xur+/f7y6J4QQQoyaTEaeGNv17eVf+tKXME2Tc889d9j7LF26lEKh0Fhmzpw5jj0UQgghxPZsuy10Hn74Yf793/+dZcuWoUYwtHfxxRfT19fXWNasWTOOvRRCCCFGp5n5Oc2OBu1ItttC59e//jUbNmxg1qxZmKaJaZo8++yz/Ou//itz5sx5xf0cxyGfzw9ZhBBCiO3N4BydZhbx2rbbOTqnnHIK73jHO4asO+qoozjllFM4/fTTW9QrIYQQQryetLTQKRaLPP30043Xq1atYuXKlXR0dDBr1iw6OzuHbG9ZFtOmTWPXXXed6K4KIYQQY8qgycnI8Zh1ZVJraaHz0EMPsWjRosbrCy64AIDTTjuNZcuWtahXQgghxPjTTV5+0nLpalhaWugcdthhxPHwS9Jnnnlm/DojhBBCiElnu52jI4QQQkxmTT9HRwZ0hkUKHSGEEKIFmn4ysly6Gpbt9vZyIYQQQohmyYiOEEII0QJy6WpiSKEjhBBCtIBcupoYUugIIYQQLaCVauoWcbm9fHhkjo4QQgghJi0Z0RFCCCFaQBkKpUc/KjOSwOsdmRQ6QgghRAtoQ6GbKHTk0tXwyKUrIYQQQkxaMqIjhBBCtIKhUbqJ8QYlqZ7DISM6QgghRAsorZJ5OqNdRnjZ69577+XYY49l+vTpKKW44447XnX7FStWoJTaavnTn/7UxKeeeDKiI4QQQuwASqUSb3zjGzn99NM58cQTh73fU089RT6fb7yeOnXqeHRv3EihI4QQQrSANhS6iccba0a27+LFi1m8ePGIj9PV1UVbW9uI99teyKUrIYQQogWU1k0vAP39/UOWWq02pv1csGABPT09HH744dx9991j2vZEkEJHCCGEeB2bOXMmhUKhsSxdunRM2u3p6eHaa6/l1ltv5bbbbmPXXXfl8MMP59577x2T9ieKXLoSQgghWmCsLl2tWbNmyBwax3Ga7hvArrvuyq677tp4vXDhQtasWcNXvvIVDjnkkDE5xkSQQkcIIYRogcG7p0a9f73QyefzQwqd8fTWt76Vm266aUKONVak0BFCCCFaICl0Rj+DRBGNYW+G59FHH6Wnp2fCj9sMKXSEEEKIHUCxWOTpp59uvF61ahUrV66ko6ODWbNmcfHFF7N27Vq+853vAHDllVcyZ84c9txzTzzP46abbuLWW2/l1ltvbdVHGBUpdIQQQogWmOjbyx966CEWLVrUeH3BBRcAcNppp7Fs2TLWrVvH6tWrG+97nseFF17I2rVrSaVS7Lnnnvz0pz/lmGOOGXWfW0HFcTypnyHd399PoVCgr69vwq5hCiGEeH2aiN8Zg8f42f5vJmOOfryhFAQsfuh38vvtNcjt5UIIIYSYtOTSlRBCCNEC2tDoJiYj61jGKoZDCh0hhBCiBZq+vTwe/b47EikHhRBCCDFpyYiOEEII0QIyojMxpNARQgghWkDm6EwM+ZaEEEIIMWnJiI4QQgjRCk1eukIuXQ2LFDpCCCFEC2il0LqJJyMrKXSGQwodIYQQogWUoZsL9Yxk9slwyLckhBBCiElLRnSEEEKIFmg61DOSS1fDIYWOEEII0QJNP0dHCp1hkUtXQgghhJi0ZERHCCGEaAGZjDwxpNARQgghWkAbNDlHZww7M4lJOSiEEEKISUtGdIQQQogWUFqhmnhgYDP77kik0BFCCCFaQOsmQz1DuSgzHPItCSGEEGLSammhc++993Lssccyffp0lFLccccdjfd83+fjH/84e++9N5lMhunTp3Pqqafy3HPPta7DQgghxBgZfI5OM4t4bS0tdEqlEm984xu56qqrtnqvXC7zyCOP8JnPfIZHHnmE2267jT//+c/84z/+Ywt6KoQQQoytwdvLm1nEa2vpHJ3FixezePHibb5XKBRYvnz5kHX/8R//wZvf/GZWr17NrFmzJqKLQgghxLhQWqN0E8/RaWLfHcnrajJyX18fSina2tpecZtarUatVmu87u/vn4CeCSGEEGJ79LopB6vVKp/4xCd473vfSz6ff8Xtli5dSqFQaCwzZ86cwF4KIYQQw6MN3fQiXtvr4lvyfZ+TTz6ZKIr45je/+arbXnzxxfT19TWWNWvWTFAvhRBCiBFodn6OFDrDst1fuvJ9n3e/+92sWrWKX/3qV686mgPgOA6O40xQ74QQQgixPduuC53BIucvf/kLd999N52dna3ukhBCCDEmlG4y1FMmIw9LSwudYrHI008/3Xi9atUqVq5cSUdHB9OnT+ef/umfeOSRR/jJT35CGIasX78egI6ODmzbblW3hRBCiKbJXVcTo6WFzkMPPcSiRYsary+44AIATjvtNJYsWcKPfvQjAPbdd98h+919990cdthhE9VNIYQQQrxOtbTQOeyww4jj+BXff7X3hBBCiNezZFKx0cT+4Rj2ZvLarufoCCGEEJNVs083licjD498S0IIIYSYtGRERwghhGgBrTW6iQnFzey7I5FCRwghhGgBuXQ1MeRbEkIIIVpgotPL7733Xo499limT5+OUoo77rjjNfe555572G+//XBdl3nz5nHNNdeM8tO2jhQ6QgghxA6gVCrxxje+kauuumpY269atYpjjjmGgw8+mEcffZRPfvKTnHvuudx6663j3NOxJZeuhBBCiBZQqskHBqqR7bt48WIWL1487O2vueYaZs2axZVXXgnA7rvvzkMPPcRXvvIVTjzxxBEdu5Wk0BFCCCFaYKzm6PT39w9ZP1aZj/fffz9HHnnkkHVHHXUU1113Hb7vY1lW08eYCHLpSgghhHgdmzlzJoVCobEsXbp0TNpdv3493d3dQ9Z1d3cTBAGbNm0ak2NMBBnREUIIIVpgrEZ01qxZQz6fb6wfi9GcxjGUGvJ6MLHg5eu3Z1LoCCGEEC2gDY1uotAZ3Defzw8pdMbKtGnTGmHagzZs2IBpmnR2do758caLXLoSQgghxFYWLlzI8uXLh6z7xS9+wf777/+6mZ8DUugIIYQQLaG0QmndxDKyy0fFYpGVK1eycuVKILl9fOXKlaxevRqAiy++mFNPPbWx/VlnncWzzz7LBRdcwJNPPsn111/Pddddx4UXXjhm38FEkEtXQgghRAtM9JORH3roIRYtWtR4fcEFFwBw2mmnsWzZMtatW9coegDmzp3LnXfeyfnnn883vvENpk+fzte//vXX1a3lIIWOEEIIsUM47LDDGpOJt2XZsmVbrTv00EN55JFHxrFX408KHSGEEKIFJOtqYkihI4QQQrTARD8ZeUclhY4QQgjRAsow0IbR1P7itUk5KIQQQohJS0Z0hBBCiBaQOToTQwodIYQQogWk0JkY8i0JIYQQYtKSER0hhBCiBQafcNzM/uK1SaEjhBBCtIBcupoYUugIIYQQoiX6+/tHvM9Ik9ql0BFCCCFaQGnV3IjOCEM9t0dtbW0oNfzPoZTiz3/+M/PmzRv2PlLoCCGEEC0gc3QS//M//0NHR8drbhfHMcccc8yI25dCRwghhBAtMXv2bA455BA6OzuHtf28efOwLGtEx5BCRwghhGgBpQ2UbiICool9txerVq0a0faPP/74iI8hhY4QQgjRCtpIlmb2F69pclzgE0IIIV5vtG5+2QE8//zzXHbZZaPef8f4loQQQgjxurR+/XouvfTSUe8vl66EEEKIFlCGgTKamKPTxL7bk8cee+xV33/qqaeaal8KHSGEEKIVZI4OAPvuuy9KKeI43uq9wfUjedbOy0mhI4QQQoiW6ezs5Etf+hKHH374Nt9/4oknOPbYY0fdvhQ6QgghRCto3eSIzuSYZrvffvvx3HPPMXv27G2+39vbu83RnuGSQkcIIYRoAXkycuLMM8+kVCq94vuzZs3ihhtuGHX7UugIIYQQomXe9a53ver77e3tnHbaaaNuf3KUg0IIIcTrjTJenJA8mkVNjsnI2/Kb3/yGWq02Jm1JoSOEEEK0QjNFTrN3bG3nFi9ezNq1a8ekLSl0hBBCCLFdaWby8cvJHB0hhBCiBWQy8sQYVqHzpje9aUSNKqX40Y9+xIwZM151u3vvvZd/+7d/4+GHH2bdunXcfvvtHH/88Y334zjm0ksv5dprr2XLli285S1v4Rvf+AZ77rnniPojhBBCbHfkgYGv6Fvf+hbd3d1j0tawCp2VK1fyr//6r2Sz2dfcNo5jvvjFLw5rElGpVOKNb3wjp59+OieeeOJW73/5y1/miiuuYNmyZcyfP5/LL7+cI444gqeeeopcLjecrgshhBDbJ3mOzit673vfS39/P3fccQe77roru++++6jbGvalq4997GN0dXUNa9uvfvWrw9pu8eLFLF68eJvvxXHMlVdeyac+9SlOOOEEAG688Ua6u7u5+eabOfPMM4fXcSGEEEJs99797ndzyCGHcM4551CpVNh///155plniOOYH/zgB9scEBmOYZWDq1atYurUqcNu9I9//OMrPuFwuFatWsX69es58sgjG+scx+HQQw/lt7/97SvuV6vV6O/vH7IIIYQQ25vBUM9mlsnk3nvv5eCDDwbg9ttvJ45jent7+frXv87ll18+6naHVejMnj17RIFaM2fOxGjyB7B+/XqAra7RdXd3N97blqVLl1IoFBrLzJkzm+qHEEIIMS60bn6ZRPr6+ujo6ADgrrvu4sQTTySdTvPOd76Tv/zlL6Nud1R3XVWrVR577DE2bNhAFEVD3vvHf/zHUXdmW15eYL1WiunFF1/MBRdc0Hjd398vxY4QQgixnZs5cyb3338/HR0d3HXXXfzgBz8AYMuWLbiuO+p2R1zo3HXXXZx66qls2rRpq/eUUoRhOOrOvNS0adOAZGSnp6ensX7Dhg2vOhPbcRwcxxmTPgghhBDjRu66GuKjH/0o73vf+8hms8yePZvDDjsMSC5p7b333qNud8TjXueccw4nnXQS69atI4qiIctYFTkAc+fOZdq0aSxfvryxzvM87rnnHg488MAxO44QQgjRCkobTS+Tydlnn80DDzzA9ddfz3333YeuX5qbN2/e+M/ReakNGzZwwQUXjMn97cVikZUrV7Jy5UogmYC8cuVKVq9ejVKKj370o3zhC1/g9ttv5/HHH+f9738/6XSa9773vU0fWwghhNgRffOb32Tu3Lm4rst+++3Hr3/961fcdsWKFSiltlr+9Kc/jUvf9ttvP971rncNeZzNO9/5Tg466KBRtzniS1f/9E//xIoVK9h5551HfdBBDz30EIsWLWq8Hpxbc9ppp7Fs2TIuuugiKpUKZ599duOBgb/4xS/kGTpCCCFe/1STE4rVyPe95ZZb+OhHP8o3v/lNDjroIL71rW+xePFi/vjHPzJr1qxX3O+pp54in883Xo/kTuxWU/EIAyXK5TInnXQSU6dOZe+998ayrCHvn3vuuWPawWb19/dTKBTo6+sb8kMSQgghXm4ifmcMHmPziv8in02Pvp1imc7D3j2ivr7lLW/hTW96E1dffXVj3e67787xxx/P0qVLt9p+xYoVLFq0iC1bttDW1jbqvrbSiEd0br75Zn7+85+TSqUaQ1qDlFLbXaEjhBBCTGYvf17cK92U43keDz/8MJ/4xCeGrD/yyCNf9fl0AAsWLKBarbLHHnvw6U9/esjVmO3diMe9Pv3pT3PZZZfR19fHM888w6pVqxrL3/72t/HooxBCCDH5DEZAjHpJfoXPnDlzyPPjtjUyA7Bp0ybCMBzR8+l6enq49tprufXWW7ntttvYddddOfzww7n33nvH9rsYRyMe0fE8j/e85z2N2dBCCCGEGIVmH/pX33fNmjVDLl291iNWRvJ8ul133ZVdd9218XrhwoWsWbOGr3zlKxxyyCGj7fkrGo/n9I240DnttNO45ZZb+OQnPzmqAwohhBCCpmMcBvfN5/PDmqMzZcoUDMPYavTmtZ5P93Jvfetbuemmm0bW2WEYr+f0jbjQCcOQL3/5y/z85z9nn3322Woy8hVXXDGqjgghhBBi/Ni2zX777cfy5ct517ve1Vi/fPlyjjvuuGG38+ijjw55kO9YGXxO32c/+9kxeYTNoBEXOn/4wx9YsGABAI8//viQ90aShyWEEELs0FrwZOQLLriAU045hf3335+FCxdy7bXXsnr1as466ywgiVFau3Yt3/nOdwC48sormTNnDnvuuSee53HTTTdx6623cuutt46+369gLJ/T91IjLnTuvvvuMe2AEEIIsUNqQaHznve8h82bN3PZZZexbt069tprL+68805mz54NwLp161i9enVje8/zuPDCC1m7di2pVIo999yTn/70pxxzzDGj7/crGMvn9L3UiJ+j83ojz9ERQggxXBP5HJ0XHvwZ+Wxm9O0US3QcsHjS/H4br+f0DWtE54QTTmDZsmXD/iLf97738bWvfY2urq5RdUoIIYSY7JTWqCbuumpm3+3ReD2nb1iFzg9/+EM2btw4rAbjOObHP/4xn/vc56TQEUIIIV6JavLSlZpcoZ6Dz+n7xCc+MaaPsBlWoRPHMfPnzx+zgwohhBBCvNR4PadvWIXOaCYgz5gxY8T7CCGEEDsMpUYVzDlk/0lkvJ7TN6xC59BDDx3TgwohhBA7PKWbLHQm1xyd8XpO34hvLxdCCCGEGGvj9Zw+KXSEEEKIFoiVJm5iVKaZfbdH4/WcPil0hBBCiFaQS1cTQr4lIYQQohWUan55nTvhhBPo7+8f9vbve9/72LBhw4iOMapCJwgC/vd//5dvfetbDAwMAPDcc89RLBZH05wQQgghdkCDz+nr7+9/zaWvr48f//jHI641Rnzp6tlnn+Xoo49m9erV1Go1jjjiCHK5HF/+8pepVqtcc801I21SCCGE2PFonSzN7P86NxHP6RtxoXPeeeex//778/vf/57Ozs7G+ne961188IMfHNPOCSGEEJOVTEaemOf0jbjQue+++/jNb36DbdtD1s+ePZu1a9eOtLkJEz77GFHKhCgkjiKU5RAVe1GWDVEI2U4o9yZ/NuufLQpRtkvsVYkrJTAtYq+K0d5FNNBLVO7H6OxpbBv2bcZeeGLLPqMQQuyI/rCujzCKyTsGfhRja0UYQ1jPrE6ZSUEQRjGWTua1+FHMYKK1oRRKgW0oSv2lVnyEHdZEPKdvxIVOFEWEYbjV+r///e/kcrkx6ZQQQggx6cldVxNixN/SEUccwZVXXtl4rZSiWCxyySWXcMwxx4xl34QQQojJa7DQaWYRr2nEIzpf+9rXWLRoEXvssQfVapX3vve9/OUvf2HKlCl8//vfH48+CiGEEEKMyogLnenTp7Ny5Uq+//3v88gjjxBFER/4wAd43/veRyqVGo8+CiGEEJOPXLqaEKN6MnIqleKMM87gjDPOGOv+CCGEEDuEWKkm77p6/T8w8KWWLFnC6aefzuzZs8e03REXOj/60Y+2uV4pheu67LLLLsydO7fpjgkhhBBix/HjH/+Yyy+/nEMPPZQPfOADnHDCCbiu23S7Iy50jj/+eJRSxHE8ZP3gOqUUb3vb27jjjjtob29vuoNCCCHEpCSXroZ4+OGHeeyxx7jhhhs4//zz+fCHP8zJJ5/MGWecwQEHHDDqdkf8LS1fvpwDDjiA5cuX09fXR19fH8uXL+fNb34zP/nJT7j33nvZvHkzF1544ag7JYQQQkx6knW1lX322Yevfe1rrF27luuvv561a9dy0EEHsffee/Pv//7v9PX1jbjNERc65513HldccQWHH344uVyOXC7H4Ycfzle+8hU+9rGPcdBBB3HllVeyfPnyEXdGCCGE2GHI7eWvKIoiPM+jVqsRxzEdHR1cffXVzJw5k1tuuWVEbY34W/rrX/9KPp/fan0+n+dvf/sbAG94wxvYtGnTSJsWQgghxA7s4Ycf5pxzzqGnp4fzzz+fBQsW8OSTT3LPPffwpz/9iUsuuYRzzz13RG2OuNDZb7/9+NjHPsbGjRsb6zZu3MhFF13UuIb2l7/8hZ122mmkTQshhBA7jMGsq2aWyWSfffbhrW99K6tWreK6665jzZo1fPGLX2SXXXZpbHPqqacOqT+GY8STka+77jqOO+44dtppJ2bOnIlSitWrVzNv3jx++MMfAlAsFvnMZz4z0qaFEEKIHYdqMr18khU6J510EmecccarhnZOnTqVKIpG1O6IC51dd92VJ598kp///Of8+c9/Jo5jdtttN4444gh0/Qd2/PHHj7RZIYQQQuzA4jje5t3alUqFf/u3f+Ozn/3sqNpV8cvvE59k+vv7KRQKbHn0l+TaOqDcizKt5E1tJGnmVgoVBcR+LVkfhaANlJ0i9iqNtpTlEKx/BrN7FlHfZsItGzCmzkjSzatllJuu7x+h3DRR/wvJ+6V+gudXo3PtxL4H2iDq34xO51CpTJKEPtCLzuSIKiV0rp1oYAsAYalIHEZY7e3UNmxEWybeQImw6uF2Fiit24xhmzhtOULPJyhXsXMZ3J5u0AalZ57F7SwQVj20ZVLrHQBgyrlfnbCfgRBi+3LstffTmXWoeAEAKdukt+wxvzvH42v76Mza9JZ9OrMOb5nXwZ2PraOnLUXFC5g3NUsYxfx9S4WunEPKNugt++zUkeKFokfZC5nXlcELIrwgYkrWwTJevDuo7IfkbJMZeZdNZY+0ZbCl4pOyDAwFWyo+C3oKbCjVKLhmfZ+IgpP8OW0ZjbYiYgylCOOYqh/hmJqUqQnjGFMn6+MYHEOhlcKPYga7YhvJdhoI4yS5PIxiKqUB5s+aTl9f3zbno46Fwd9LG5/5M/n86MOw+/sHmDpn/rj2dSIZhsG6devo6uoasn7z5s10dXVtM1B8OEb1ZORf/vKX/PKXv2TDhg1bDSFdf/31o+qIEEIIsUOR5+gMMfgsvpf7/e9/T0dHx6jbHXGhc+mll3LZZZex//7709PTs81OCSGEEEIMR3t7O0oplFLMnz9/SF0RhiHFYpGzzjpr1O2PuNC55pprWLZsGaeccsqoDyqEEELs8GREB4Arr7ySOI4544wzuPTSSykUCo33bNtmzpw5LFy4cNTtj7jQ8TyPAw88cNQHFEIIIYSEeg467bTTAJg7dy4HHngglmWNafsj/oY/+MEPcvPNN49pJ4QQQgix4+nv72/8ecGCBVQqFfr7+7e5jNaIR3Sq1SrXXnst//u//8s+++yzVeV1xRVXjLozQgghxA5DLl3R3t7euNOqra1tm/N+BycpT9hdV4899hj77rsvAI8//viQ98Z6YnIQBCxZsoTvfe97rF+/np6eHt7//vfz6U9/uvHMHiGEEOJ1qdlgzklw6epXv/pV446qX/3qV+Nyg9OIC5277757zDvxSr70pS9xzTXXcOONN7Lnnnvy0EMPcfrpp1MoFDjvvPMmrB9CCCHEmJMRHQ499NDGnw877LBxOcZ2/S3df//9HHfccbzzne9kzpw5/NM//RNHHnkkDz30UKu7JoQQQrwuffOb32Tu3Lm4rst+++3Hr3/961fd/p577mG//fbDdV3mzZvHNddcMy79uuGGG/jv//7vrdb/93//NzfeeOOo2x1VofPggw9y0UUXcfLJJ3PCCScMWcbS2972Nn75y1/y5z//GUgeGnTfffdxzDHHvOI+tVptzCYwCSGEEOOlFaGet9xyCx/96Ef51Kc+xaOPPsrBBx/M4sWLWb169Ta3X7VqFccccwwHH3wwjz76KJ/85Cc599xzufXWW5v9+Fv54he/yJQpU7Za39XVxRe+8IVRtzvib+kHP/gBBx10EH/84x+5/fbb8X2fP/7xj/zqV78acu/7WPj4xz/OP//zP7PbbrthWRYLFizgox/9KP/8z//8ivssXbqUQqHQWGbOnDmmfRJCCCHGxOClq2aWEbriiiv4wAc+wAc/+EF23313rrzySmbOnMnVV1+9ze2vueYaZs2axZVXXsnuu+/OBz/4Qc444wy+8pWvNPvpt/Lss88yd+7crdbPnj37FQux4Rjxt/SFL3yBr33ta/zkJz/Btm3+/d//nSeffJJ3v/vdzJo1a9Qd2ZZbbrmFm266iZtvvplHHnmEG2+8ka985SuvOoR18cUX09fX11jWrFkzpn0SQgghticvv4pRq9W2uZ3neTz88MMceeSRQ9YfeeSR/Pa3v93mPvfff/9W2x911FE89NBD+L4/Nh+grquri8cee2yr9b///e/p7Owcdbsjnoz817/+lXe+850AOI5DqVRCKcX555/P29/+di699NJRd+blPvaxj/GJT3yCk08+GYC9996bZ599lqVLlzYeMPRyjuPgOM5W62PDRkUB2C5ok1hpVJgEbCq/HtwZhSjbJfZCCDywnCTgs/5eDGg3QxzUf7jagHrWl7LdJIyzbzNx4KGtthf3i0IwbXQ6R1QtoUybuFpCOalkk4Fe0Jo4ioiqZXSuHZ3KEPZtRhmaOIzwt2zByqXxeouYrkNY9TBcm8gPiMMIt1Nj2BZh1SOo1oh9H5WyUVqjtMZqa8Pv7cWwLKq9AxS/dxnldZuJo4jU1HYiP8AvVbAyKaxcmud/90cKO88g8gNqvUX8UpXsjCmYroM3UEJpjdtZYGD184RVDwC3M09p/Qu0z5/Jlj+vIT9nGkG5SlDxeOFPa5iyz1x6/7wGbZl07jVXgkXFDueob/6GTesG2PUNnazdWEJpRa0SkMk7lPprxFGM5RjYjsnm9QO0Tc2Qy9hsWF/Eckz8WkBnV4aBgRpxBJmcTRBE7DwtR1/ZoxZEbOmrMrcnz6p1/WQyNrap2ak9TbEW8OyGIsW+KlO7s4RRxEA1IGUbVLyAXD1Asy1tkbJNNhc9egouXhiRtg3aUhZhFJN1TYrVAC8IqQURhbSFY2peKCb/DqRtA9vQeEGEbWr8KCJtWfTVfNKWQbEakLYMqkGEpYfeYWMZL/6/dzWIsPyItKWx6gGdbr09QysMpSAGQ0OlFhPGMbUgImVqlAJLK+IQIhUTk9ygFMfg1XOsLR3jhXESAhpFhPXYxomMuU4eGDj6u4wG9335lYtLLrmEJUuWbLX9pk2bCMOQ7u7uIeu7u7tZv379No+xfv36bW4fBAGbNm2ip6dn1P1/uZNPPplzzz2XXC7HIYccAiTzg84777xGHTAaIy50Ojo6GBhIErBnzJjB448/zt57701vby/lcnnUHdmWcrm81W3khmFsFSQqhBBCvN7EcXOF1eC+a9asGZJevq3/2X+pl9/C/Uphmq+2/bbWN+vyyy/n2Wef5fDDD8c0k/IkiiJOPfXUpubojLjQOfjgg1m+fDl777037373uznvvPP41a9+xfLlyzn88MNH3ZFtOfbYY/n85z/PrFmz2HPPPXn00Ue54oorOOOMM8b0OEIIIcTrVT6fH1LovJIpU6ZgGMZWozcbNmzYatRm0LRp07a5vWmaTV1O2hbbtrnlllv43Oc+x+9//3tSqRR77703s2fPbqrdERc6V111FdVqFUjmw1iWxX333ccJJ5zAZz7zmaY683L/8R//wWc+8xnOPvtsNmzYwPTp0znzzDP57Gc/O6bHEUIIISZaFMdETQzpjHRf27bZb7/9WL58Oe9617sa65cvX85xxx23zX0WLlzIj3/84yHrfvGLX7D//vuPeSbVoPnz5/OGN7wBGJtRoxFPRu7o6GD69OnJzlpz0UUX8aMf/YgrrrjiNYfLRiqXy3HllVfy7LPPUqlU+Otf/8rll1+ObdtjehwhhBBiosVjsIzUBRdcwH/+539y/fXX8+STT3L++eezevVqzjrrLCAZwDj11FMb25911lk8++yzXHDBBTz55JNcf/31XHfddVx44YWj/NSv7jvf+Q577703qVSKVCrFPvvsw3e/+92m2hzxiM62VKtVvvnNb/LlL3/5FSc0CSGEEOJFUZwszew/Uu95z3vYvHkzl112GevWrWOvvfbizjvvbFweWrdu3ZBbuefOncudd97J+eefzze+8Q2mT5/O17/+dU488cTRd/wVXHHFFXzmM5/hnHPO4aCDDiKOY37zm99w1llnsWnTJs4///xRtTvsQsfzPC699FJ+8YtfYFkWF110Eccffzw33HADn/rUp1BKSSyDEEIIsZ07++yzOfvss7f53rJly7Zad+ihh/LII4+Mc6+S6SpXX331kBGl4447jj333JMlS5aMf6GzZMkSvvGNb3DEEUfwm9/8hpNOOokzzjiDFStWsHTpUt773veO2/U6IYQQYrKJ47hxB9No959M1q1bx4EHHrjV+gMPPJB169aNut1hz9H5r//6L5YtW8b//M//cNdddxGGIf39/TzxxBOcdtppUuQIIYQQIzB46aqZZTLZZZdd+K//+q+t1t9yyy2NycmjMewRnTVr1nDAAQcA8MY3vhHbtvn4xz/euNddCCGEEGK0Lr30Ut7znvdw7733ctBBB6GU4r777uOXv/zlNgug4Rp2leL7/pC7nSzLGvNsKyGEEGJHMskGZZpy4okn8n//93987Wtf44477iCOY/bYYw9+97vfsWDBglG3O6LhmM9+9rOk02kgmZx8+eWXb1XsXHHFFaPujBBCCLGjaMVdV9u7/fbbj5tuumlM2xx2oXPIIYfw1FNPNV4feOCB/O1vfxuyzVg/DloIIYQQk1d/f/+wtx3O05+3ZdiFzooVK0Z1gO1KHDVCOmM3h/IrhH2bMdq7iL0qyklGq9AGse/RKNuikKg0gM61JSGgloMqdBL2ba4HbxrodC7ZNZMjDkOUaaHTOeJa9cU2qqUkCBTQuTZi38fId6AcN+lXFKK0Jty8Dp3JE9czvbRt4veXMdMplKExMy4Afv+L2WJ2ZycDTz+DX6qS7mpHWRZxpYSdzxCUqxj1tkrrN+N25lH1ENHBdanOAkHVI/IDQs/HdB20YeANlMnP6aGycQvVzf1kZ0wFwBsoY+czAIR+gGElp1IchtjtbUT+33A7C/Ru7qfWO4CVsQlKVex8Gr9UxS9VefL0f8R0bUobBijM7SLyfbz+MqEXYtgG+Tk9eANlglKFoOpR668xZa9Z/O2uJ8jvlMN0TQbWFSnslMcreQSVgOkHzscbKPP8I6uZc8RebHj0r6S78mz64/N0v2kWm//4HOkpKYJqwJR95tJz8TfG9hwT25Uv3v0XNvTXcEzNQDUJrvzbxiJZ1yLrmHhhRF/ZoyPjYGjFC6UaWddiXW8Fx9TUgoiethR/21AkZSeBlACl/hrTp2V59tleTMsg8EN2mllgS18VN2XR31vFSZkopSj2Vcm3pwjDCMPQaFOzob9GuehR6ExTGfAI/OTfpTCMMCODMIzIFlIY9XBMbWriOCYMI7wgIgpjtKEIo5haJcALIoL6/95HUUwYRViOSVfeZUN/lbRt8PctZQxT47gWhlZ4QRKO2Za2KVb9esBn8l9DK2peiG1qitUA29RMzTv0VnwqXkjFC8m6Fp1Zm76yz+aSR2c9QLTshej6//T2lX3CKKbgWFS85DMaWhFFMUUvqP+UIvwwYkbeZaAW4JhGI7gzbWn8MAnsBBrtAgRRzOBL19RYsSKKk6DOnKOpBTF+lOxr6eS7MjSoWNX3VWgV49XTPMM4Cf70JnCYRO66gra2ttccJBnM4grDcFTHkJnEQgghRAtE9aWZ/V/v7r777nE/hhQ6QgghhGiJQw89dNyPMeKsKyGEEEI0L46bXyabX//61/zLv/wLBx54IGvXrgXgu9/9Lvfdd9+o25RCRwghhGgBeWDgULfeeitHHXUUqVSKRx55hFqtBsDAwABf+MIXRt2uFDpCCCFECwxORm5mmUwuv/xyrrnmGr797W8PSVs48MADm8raGlWhMzi0tHDhwjEbWhJCCCHEjuupp57ikEMO2Wp9Pp+nt7d31O2OuNB56dDSo48+OmZDS0IIIcSOJBqDZTLp6enh6aef3mr9fffdx7x580bd7ogLnfEaWhJCCCF2JDFNTkZu9QcYY2eeeSbnnXce//d//4dSiueee47vfe97XHjhhZx99tmjbnfEt5eP19CSEEIIIXZcF110EX19fSxatIhqtcohhxyC4zhceOGFnHPOOaNud8QjOuM1tCSEEELsSKI4bnqZDPbdd1+uuuoqtmzZwuc//3k2bdrE7373Ox544AE2btzI5z73uabaH3GhM15DS0IIIcSOJB6DZTJ4y1vewqc//WmmT5/Oe9/7Xu6//372339/3vzmN5PNZptuf8SFzkUXXcTxxx/PokWLKBaLHHLIIXzwgx/kzDPPbGpoSQghhBA7nm9961usX7+ea6+9lvXr13PkkUcyZ84cLrvsMlavXt10+6OKgPj85z/Ppz71Kf74xz8SRRF77LHHmFRd4ym2HCAmtlKoOEIFPpgORqETlE5CPG2X2HShMoBOZYgNG3RyV5my3Xqgp0Xs11Bav/i6ViUqD2A4LlFpAOWmk/BO0yLqfwGjfSqRaaFMG53JEfZtJvZ9Yq8KUZSEf0YR0cCW5Li1KlGpH227eFt6sTs7MMMITIs4jAirHrXeAVJT28nOmEqtd4CoUsJwbYprN5Kf20Ps+4SVMkGpijJ00l9AWyZ+qUpqKiitsTJJUGhx7UYy0zoZWP08Smuc9ix2W5bi2o2Y6RTaGsAvVQiqNfxSlaDqMbD6eYprN2Ln0yhD4w2UqfUWCYpF/FIVZbuYKZu+vw5gZRwM18bwA4KKl/xMwrjx3zhMAk2rW6pYGYvQCymu3Ui1t4KdsbAyLgPrisT1AL7BfbWhsTIOtf4aVtYm8gNqWwao9dfwXhJ6aliaoFQh053BsEzKmyoAPHTM4XS/aQ6hH7DuwWdon9eO0priuoEkNNELmXbAPLz+EpEfoAxN5AXk5/ZQXLsRr79MdsZUDNdGGRq/v0zoB0S+j7Ys3M48hmVS6y3iduapbOilsMsM/FKF/lXryPR0kp3ZTXVzH4Zt4XRNpfz350hN7aD2Qh/OlA50ro1g83rMzmko00pCZ73qi5+tcxrRQC8qlYEoRGfbUIaBcjOgNFG6HVUdILZTSbCtNpNz3rDQtQFiwybMdYM2CLWFF0ZEMVSCmCCKMXUSuGcbijCOqQUxlSDCj2Kylub5kp/0Qyn8KKKvGhDGUPZDil5Au2uRc0w2FGv01QJ2nZKh7EesH6jyzOYyZS+kp83lhaLHgpltbCglf+e8IOKFokdH1gag4oX0FFw2DCTv22YSeBlGMSnboOKFhFFMb9mnM2tT8cLGvmEUk7YNCmmLIIpJWQYvlGp0ZBxSdvLPoKEVm4setmkQRjFZ16L3hTJh/alshlakbIP+gRqmpekr+2TbXCoDXqN/2tBUKz5excdJmVTLPrZjYpqawA8JiTAtg6xrUjQ0tqmJ4ph0ysKvhRiGxrQ1tUpAJu9Qq/gEviKOYrSlMQxNyjboqwVkCy62qSmFEWEUUfFCDK0wLYOyF5J1TXrLHinbYF1fhZxrknNNVteCRvhmWzq5oSRlmwxUq4RRTM598deCF0R0ZG1Sttn4viteSCFt0VtJfu5BFOMFIWUvbJwvfhSRdUwq9WDQsp/8bFxDE5oxJT8k71oEYUQtimlPWaztr2LVzzVLaxxDY2mNVi9eoqkFEa6l8YIY19SYBnj1fwtsQ+FHYNT/9z0ixjYUZT/G1oowphHwOUiRBIIWvQh0jKlUI0B0IjT70L/J9MBA13U55ZRTOOWUU1i1ahXXX3891113HZdddhmHH344H/jAB3j3u989qrZH/cDAdDo9pkNLQgghxA6l2fiHSVTovNTcuXP53Oc+xzPPPMMPfvADHnroIf75n/951O0Na0TnhBNOGHaDt91226g7I4QQQghx9913c8MNN3DbbbdhmiYf+tCHRt3WsAqdQqEw6gMIIYQQYmsRMVETwzLN7Ls9Wr16NcuWLWPZsmU888wzHHzwwXzzm9/kpJNOIpVKjbrdYRU6N9xww6gPIIQQQoitNZtAPknuLufmm2/mhhtu4O6776a7u5tTTz2VD3zgA+yyyy5j0v6oJiMLIYQQojkyGTnx/ve/n3e+853ccccdHHPMMWg9tnnjwyp03vSmN/HLX/6S9vZ2FixYgFLqFbeVGAghhBBCDNff//53urq6xq39YRU6xx13HI7jAHD88cePW2eEEEKIHYVcukqMZ5EDwyx02tvbG0NJp59+OjvttNOYDy0JIYQQOxKZjDwxhlWtXHDBBfT39wPJ/e2bNm0a104JIYQQQoyFYY3oTJ8+nVtvvZVjjjmGOI75+9//TrVa3ea2s2bNGtMOCiGEEJORXLp6URiG3Hfffeyzzz60t7ePadvDKnQ+/elP85GPfIRzzjkHpRQHHHDAVtvEcYxSijAMx7SDQgghxGTUbAL5ZEkvBzAMg6OOOoonn3yyNYXO//f//X/88z//M88++yz77LMP//u//0tnZ+eYdkQIIYQQO669996bv/3tb8ydO3dM2x32jOJcLsdee+3FDTfcwEEHHcQb3/jGbS7bK+XXkkBDlXxkFXoQBWA6jW2iUjIPSdkusZUiNi0IPJRpoazkz1GllGxsWJhTphHXqijLTgI3fT8J7PSqSciiYUA9/FMXXiwM41qV2KsmAZ6BB6ZNtGUDOpVBpfMY3bNQtouyLLRlojN5wqoHgY+ZcbHyecy0m/S1nmAXVj3sfIY4iqhs2EJQLBKUqngDJbz+EmHVo7xhC6ZrE4cRQbmKN1CmtH4zdiGH4dpo2ySKIryBMi88+SwApfWb6fvb3ymtf4E4ivBLVaxMcmy/VCH0QuIwIg4jSus2E1QDqpv78Ese5bXriMIIK+OgbZPq5j4qG7Zg2GbyeQDDtan21/AGypiug5N3cNszBNWA3lVbKD1fovR8ieqWEpZr4pcq7Hrifjh5h6AakOlKE/oBAHbGorq5j7DqY1gG5Q1b8Io+lU0DGLaBmUmhtEYZGsPWBKUq5c0VgnpfgkpAHEaYKZtaf40ojBuBqMowSE1NAj+jMMJwbYKKVw8kTT5/ef1m/HKFoFRBWxZhtUatt4i2TXQ92NMvV4jDiNqWIlAPWR0oow0j+U63bMHtLBDWaihDExSLRH2bCateEuSpDcKNa4kDn6jUT9S3GWXaEIVJoGc6j7Lsxnka18qoWgmURkUBKgwgjoiVRoU+cT3gc5AfxURxEtQ4GI6oVRKGmAQkJqGqYZQEZVaCGEtrakFEV8bC0ppqEOGHEVEcU/ZDojhO1kUxXhixqexTC0KqYYRtapx6WGTZC+lIWbxQ9DCUwgsiCmmLjG2Ssgy8IKIWRHhBRF/ZxzY1YRRj6GTbjoxN1jXxgqSPKdtofK7NJY8giql4IY6ZhGkOVAMcU1NIJcGWplb0tKXozNgYWpF1kv8P9IKoEWg52LaTskjZBnEUY9oGTsoiCCIK9RBRVQ+ONAyNaSX9dFMW6fqxKl5IHMWEUUwURKRsA6UUqaxNZcAjjmIKaYs4giiKqVV8DFNj1sNL8+2pxrFsx2Bz0Wv0LwqToNPB7ybnWpS9kM1Fj5RtEr00qLUeYDoYWAovhpt2t7l0ZG1sQ9OWslj7QoUwihio1v++Gcl3knNNUrZJxQ+3+t6zrskLRY8oToJXwxjaXItiNcA1NWEMeddCK4Vjasz6SWdoyDkGWqkkLDZMziU/iih5IbapUCq5dGPUH3cSRsnrKIaBWoRG0VcNUSo5r8M4Obf9lzx8xtCKahA1gjw1E/tsmuTvUXPLZPL5z3+eCy+8kJ/85CesW7eO/v7+IctojfiBgaeddhoADz/8ME8++SRKKXbffXfe9KY3jboTQgghxI5GLl0NdfTRRwPwj//4j0Oe19fs1JgRFzobNmzg5JNPZsWKFbS1tRHHMX19fSxatIgf/OAHTJ06dVQdEUIIIcSO6+677x6Xdkf8MJyPfOQj9Pf388QTT/DCCy+wZcsWHn/8cfr7+zn33HPHo49CCCHEpBPFySW10S7jOaKzZcsWTjnlFAqFAoVCgVNOOYXe3t5X3ef9738/Sqkhy1vf+tZhH/PQQw991WW0Rlzo3HXXXVx99dXsvvvujXV77LEH3/jGN/jZz3426o4IIYQQO5Ik6ypuYhm/vr33ve9l5cqV3HXXXdx1112sXLmSU0455TX3O/roo1m3bl1jufPOO0d03F//+tf8y7/8CwceeCBr164F4Lvf/S733XffqD4HjKLQiaIIy7K2Wm9ZFlE0yWZGCSGEEONke52M/OSTT3LXXXfxn//5nyxcuJCFCxfy7W9/m5/85Cc89dRTr7qv4zhMmzatsXR0dAz7uLfeeitHHXUUqVSKRx55hFqtBsDAwABf+MIXRv15RlzovP3tb+e8887jueeea6xbu3Yt559/PocffvioOyKEEEKIkXv53UmDBcJo3X///RQKBd7ylrc01r31rW+lUCjw29/+9lX3XbFiBV1dXcyfP58PfehDbNiwYdjHvfzyy7nmmmv49re/PWRA5cADD2wqMHzEhc5VV13FwMAAc+bMYeedd2aXXXZh7ty5DAwM8B//8R+j7ogQQgixI2nustWLc3RmzpzZmEtTKBRYunRpU/1av379NoM2u7q6WL9+/Svut3jxYr73ve/xq1/9iq9+9as8+OCDvP3tbx924fXUU09xyCGHbLU+n8+/5vygVzPiu65mzpzJI488wvLly/nTn/5EHMfssccevOMd7xh1J17N2rVr+fjHP87PfvYzKpUK8+fP57rrrmO//fYbl+MJIYQQE2FwUnEz+wOsWbOGfD7fWO84zja3X7JkCZdeeumrtvnggw8CDLm9e9Dgbd6v5D3veU/jz3vttRf7778/s2fP5qc//SknnHDCqx4XoKenh6effpo5c+YMWX/fffcxb96819z/lYyo0AmCANd1WblyJUcccQRHHHHEqA88HFu2bOGggw5i0aJF/OxnP6Orq4u//vWvtLW1jetxhRBCiNeLfD4/pNB5Jeeccw4nn3zyq24zZ84cHnvsMZ5//vmt3tu4cSPd3d3D7ldPTw+zZ8/mL3/5y7C2P/PMMznvvPO4/vrrUUrx3HPPcf/993PhhRfy2c9+dtjHfbkRFTqmaTJ79uwJy7P60pe+xMyZM7nhhhsa615e6QkhhBCvRxHNPYl5pHORp0yZwpQpU15zu4ULF9LX18fvfvc73vzmNwPwf//3f/T19XHggQcO+3ibN29mzZo19PT0DGv7iy66qPFcvmq1yiGHHILjOFx44YWcc845wz7uy414js6nP/1pLr74Yl544YVRH3S4fvSjH7H//vtz0kkn0dXVxYIFC/j2t7/9qvvUarUxe2y0EEIIMV4GozqaWcbD7rvvztFHH82HPvQhHnjgAR544AE+9KEP8Q//8A/suuuuje122203br/9dgCKxSIXXngh999/P8888wwrVqzg2GOPZcqUKbzrXe8a9rE///nPs2nTJn73u9/xwAMPsHHjRj73uc819XlGXOh8/etf59e//jXTp09n11135U1vetOQZSz97W9/4+qrr+YNb3gDP//5zznrrLM499xz+c53vvOK+yxdunTIpKyZM2eOaZ+EEEKIye573/see++9N0ceeSRHHnkk++yzD9/97neHbPPUU0/R19cHJOnjf/jDHzjuuOOYP38+p512GvPnz+f+++8nl8sN65hnnHEGAwMDpNNp9t9/f9785jeTzWYplUqcccYZo/4sI56MfNxxx73qZKSxFEUR+++/f+P++QULFvDEE09w9dVXc+qpp25zn4svvpgLLrig8bq/v1+KHSGEENuduMmnG8fj+GTkjo4ObrrppmEfP5VK8fOf/7ypY95444188Ytf3KowqlQqfOc73+H6668fVbsjLnSWLFkyqgONRk9PD3vssceQdbvvvju33nrrK+7jOM62Z5wbRiPBOTYsVOgnaeZBjdjJAiQp5ADaAG0kSc/aeDGxPPABiAa2YHRMS7ZJZdDp+g8lijA7pxF5VYgilONCFEEUokybcMuGJM0cMNqnEntJinlcfklqeuATe1WMQifh5vVUN/fhzN2VOEzaU4EPUUhUT+zWlknoBShDY+YLGK6Dnc8QVj2iMCQKI+y0i5nPY/YOJMnlpWpj38gPUKkMhmVS2zJAZcOWRiJ65AcYlklQqibH15rKxi24HQW01mBbGPWkYq+/1OhTaf0LuG1pwqqH31/GzKSwc2mKazeiLbPRllfycDtBGxor41LeuAXDtShtGCAOY5ShSLW7VLYk/VWGZtOT61GGgTJUo5+VTWWUoYjDmKDq4VcD3HaXTE8nm5/ahGFrrHqyeWVTmdSUNIZt4JcqRGHyF3XVL/6E6Zr0/32Anv07CaoB6SkpTNckjiLCao044xJWPaq9Faqb+4mjCMO1MFybWu9AcopUvCQ93bWTlHTLbCSVx/Wne3n9yflU6y1i5zP17Swqm/swXRsrkwKSdPg4jEjbJkprdLatcX76G5/H6pxSP9dC4sCHWhVV6CSuVYmr5eRcqlXRbpCklAOxYaICD+qv0SaxNlFBFbRJqA1ikjsuLAWVOAKSBOlaEDVSryOS723w3znH1CgFba5JX81k3UCNtKWT5OkoZvBvpG1o+qs+WcfE0kmqd0fW5tlN5aQ7Cgrp5PkZWdek4iWJ1V494XtmIcXGgRoD1YCcbTaSzFO2wfq+KlnXJG0bbOiv0Zm1qXghYRSTsgx62tzkz7aJY2o6sw5lLyRtG5i2Qbm+ba2eyO2FEUEQ4QVbz0m0TU3FC5nSnmLTlgpeLSTtmhj6xf8JbMs5bK6/l8nYpGyDDZvLGIZubJeyDaJ6qnoYRuRdB68aYFpJ/zb3Jee+YSbnehhEGFrR1ebSW09wL9X7M5jmXvQjitUgSQuPYnrLXuO1oRWmZTBvapbH1/a9JP09xAsi1vVWmDc1y0A1wDYN2lMWacvANjW9ZZ+UbRLGMcVq0Dhmb9mnLWXRW/HprCeqe0GSoJ51TLKuiaUVxVpET85tfH9py8Cv/50Y/GXvmsn5sansU/ZDerLJ5/ajGKv+nVlaY+nkvIpjRcpSFL0YpYE4OSdNI7kjKetoNIowTs4trZI5MbahiOOYIIobD90LI/CJcfXE/I88QBgnSzP7Twb9/f3EcUwcxwwMDOC6buO9MAy58847t3m7+3ANu9Apl8t87GMf44477sD3fd7xjnfw9a9/fVgTm0broIMO2uopjH/+85+ZPXv2uB1TCCGEEBOnra2tkY01f/78rd5XSr3mbfGvZtiFziWXXMKyZct43/veh+u6fP/73+f//b//x3//93+P+uCv5fzzz+fAAw/kC1/4Au9+97v53e9+x7XXXsu11147bscUQgghJkLU5KWr8Qz1nEh33303cRzz9re/nVtvvXVIbIRt28yePZvp06ePuv1hFzq33XYb1113XeMe/H/5l3/hoIMOIgxDDMMYdQdezQEHHMDtt9/OxRdfzGWXXcbcuXO58sored/73jcuxxNCCCEmSrN3To3XXVcTbTCZfNWqVcycOTOZGjGGhl3orFmzhoMPPrjx+s1vfjOmafLcc8+N62Tff/iHf+Af/uEfxq19IYQQohVkRGeowWkp5XKZ1atX43nekPf32WefUbU77EInDENs2x66s2kSBMGoDiyEEEIIMWjjxo2cfvrp/OxnP9vm+6N9WPGwC504jnn/+98/5I6marXKWWedRSaTaay77bbbRtURIYQQYkcid10N9dGPfpQtW7bwwAMPsGjRIm6//Xaef/55Lr/8cr761a+Out1hFzqnnXbaVuv+5V/+ZdQHFkIIIXZkculqqF/96lf88Ic/5IADDkBrzezZszniiCPI5/MsXbqUd77znaNqd9iFzkvzpoQQQgghxlKpVGo8L6ejo4ONGzcyf/589t57bx555JFRtzu2U5uFEEIIMSxRFDe9TCa77rpr49l5++67L9/61rdYu3Yt11xzzbCDQbdlxE9GFkIIIUTzoibn6EyyOoePfvSjrFu3Dkie3XfUUUfxve99D9u2WbZs2ajblUJHCCGEEC3z9NNPs8suuwx5Rt6CBQt45pln+NOf/sSsWbOaSmGQQkcIIYRoAZmMnJg/fz4zZsxg0aJFvP3tb+ewww5jzpw5pNNp3vSmNzXd/g4zRydWmth0IKhBHCevrRRRuu3FjbSRBH1GISqoEZs2se+hnBTKMMC0IIqIvSooTVTqR9suUbEXAh9lWehcG0Z7FzrXhnKzxL4Hpk0ceKhUhjjwMQqdEEVEA73Evo9K54nrwYyDoZ4qlUnW1Y+nbZM4DNF2EnY2GMgZVr1GuCWmjZ1LY2aSbSobe8nOmJps46SI/IDyxl4qm/saIZxKa/r/9Be0beLXwz6Dio/TliWsejhtOUI/IKzWiPwAr79Mef1mrHwa07UJvRC/VMXOJ48YsDJJwGXoB0RhRBRFRL6PmbIxbBNtaIKqh5VxMV0Tpy2HV/TQlkVQSbarbqniVwOCSkDohShDUd5cIfRDUu0ua379V1Jd7dT6a8l6L8Qr+Y0fo+WaeCUPpTXlTRU2/nETAP1/76e8qYKdS6O0anxeZWjSU9IE1YDKlirK0HhFn9Lz5UZ//VKV0rrN+KUaxeeKGK6NlXkxeC6OIoJK8nArr5RsX1zXh51P43bmk5+VHzSCPc1Usn9QTfpp5dON15XNfQTVGpUNvdj5DNpMgkNjr4pyXOLAo9Y7gKqfC41zx6sS+8n3ENcqKMtBWRaxVX8kRBQlYZ5ao7wysdLJ+Q6owCPWJmkj+YfT0lDyI2xD40dJ+GElSN4LopiMpXFNTVj/hzaKY2pBjFJQcEzSlkYrhWNqsrbZCGRMWwaOmTxJ3VBJcGdX1qGtHuRZC5JjemH0ksDJCNvUbOiv4YdJqOXg9l6QBH7Ci8GWhbSFUw/BzNaDNg2tsE1NyjbozNiNJ8p25R1qQURvxadYS54J5tTDMQ2V9HkwPHOwPcsxCaMYvxaQcy0CPyIKIoplH1Mroigm8EOK1YAojHHTFrapcUyNaRmYtqYtbTXa6ZqRb7RX80JMS+OmLGxDM70zjeOYOCkLpRSBH2Kbmo6MgxdEDJSTn3eu/jltU+PVAsL69xJGMV4QNfb7+wtlOvJO4/vKOsn/66ZsE9tM+tWZtRvfuf+SayO2qenM2NiGbgSvGlphakXZC8k6SR9StkHFC+kr+41A0GqYtGcoCOo/Qz+MmJK26UiZOKaBpVXjPNFq8FxJzjGn/m+cpTWGBqVAkwR6RjEYSjXORaWS10qBF8Z4YYxtKMIIVP28G/zFF8XJ9qZWmBpiYHRPahmdMI6bXiaDe+65hzPPPJPnnnuOD3/4w+y8887MnTuXD3zgA9x0002sXbu2qfZlREcIIYQQLXPwwQdz8MEH8+lPfxrf97n//vtZsWIFK1as4Pvf/z61Wo1ddtllq5Dv4ZJCRwghhGiBZu+cmmx3XQFYlsUhhxzCAQccwMKFC/n5z3/Ot7/9bZ5++ulRtymFjhBCCNECIU0+GXnMetJ61WqV3/72t9x9992sWLGCBx98kLlz53LooYdy9dVXN4I/R0MKHSGEEKIFZDJy4tBDD+XBBx9k55135pBDDuEjH/kIhx56KN3d3WPSvhQ6QgghhGiZ3/72t/T09LBo0SIOO+wwDjnkkKZuJ3+5HeauKyGEEGJ7InddJXp7e7n22mtJp9N86UtfYsaMGey9996cc845/M///A8bN25sqn0Z0RFCCCFaIIrixqMORrv/ZJDJZDj66KM5+uijARgYGOC+++7j7rvv5stf/jLve9/7eMMb3sDjjz8+qvZlREcIIYQQ241MJkNHRwcdHR20t7djmiZPPvnkqNuTER0hhBCiBcImR3Sa2Xd7EkURDz30ECtWrODuu+/mN7/5DaVSqfG05G984xssWrRo1O1LoSOEEEK0gBQ6iba2NkqlEj09PRx22GFcccUVLFq0iJ133nlM2pdCRwghhBAt82//9m8sWrSI+fPnj0v7UugIIYQQLRBGzY3K1KPzXvfOPPPMcW1/x5qMHMdgOsSmhYqSAD8V+MSmjc62gZtDhV4SpOnXUFGAclLJrmGYhHkONqU0OpNHFzpfEqRYJSoNQOChnDREQRIUGoUQRSjTQmkD5bigNTrXluznVdGpJBQzrpRQZj0wr70Lpy0HUYhfqkCQHCcKfOIownBtlKEbQZFEIXEYobRG2yZKa8Kqh53PEJf6qW0pEocRVsZF1cMqw2oSRBl5AX65ShzGuO2ZJKSyWkMZGq11/TuIsPNpav0V/P4ykRcQVOtLqdIIFzXdJFy0vH4zQamCtix6n16L4ToEVS8J49zYizY0kR+Qm54FQNc/S+n5EqEXEnohhm1Q3VLFbXeTsM6ij5N3iMOI6pbk5xFFMYZlYLhW8pn9kMiL8AbKyfdoJSGSQSXArwZEfoCZstj81CYiL0yCUF0TwzaIw4ig6qENhVdK+jqweiMD64pUNpdw2jOkp6QwLJP8nB4iPyCOIiIvIKz6+KUacRg3wj9rW4pEfoDTlk3CRA2NlUnOKTuXwXTt5HwLkzbiMEIbyc/NGyglP0/HRZk2Ud9mlGmjTBu/VCUOfHQmT7DumeRnH/igdXK+AcQRca2K8msor0RsmMTaRHmV5PuuFZNzFIhNO/n7EEeYg8GKQBzHuEbyOoqTME8AP0rCEst+SBTHDNRCqmFELYipBhFZOwl4nJK2KfshBdek7IeNdqIophpGZB0TrZIgyLRt0FcLsLTCNQ1yjkmxGjSCKTuzNivX9jWCPv16UGQhbVFIWYRRjGsajRDPYjUgYxmN0M+XBoBC8gtmMKxz8M+GVvRWfFK2+eK5pRV9ZZ8wiknbBp1Zm5RtYFoGA1WfVNZG1b+zWhDR1ZnGtAy68g6BF5KqB24mf0VfPH5cvzU465rM68qSytqEYYSbsmhLW7xQqjG7M4NtasIgolr2yeQdcu5gEKfBlLzDrO4sXhCRtg2K1YB01kbXg0+9IAnQjKOYnGs1tqsFETnXoqfNTT67kYSOTs25DFSTc8LQikr9ZzZQDci5JmUvZF5X8m/VYJBoR9ZuBK0OBovapibrJj9bux6SahuaMIaskwSIVoMIy1B0pCwKjklfLSCMoTNtY2mNpRVRHCd/NhRpy0Arha6HrZoGjcBZ0wC3/u9PxY8I45ggBEsrbENhKIVjKgZ//F69uLANRRDFaAVaJcGfE/kQvsFLV80s4rXtWIWOEEIIIXYoculKCCGEaAGZjDwxpNARQgghWkAeGDgxpNARQgghWiCMmxzRmSQREONN5ugIIYQQYtKSER0hhBCiBWSOzsSQQkcIIYRoASl0JoZcuhJCCCHEpCWFjhBCCNECQf2Bh80s4+Xzn/88Bx54IOl0mra2tmHtE8cxS5YsYfr06aRSKQ477DCeeOKJcevjcEmhI4QQQrTA9vxkZM/zOOmkk/h//+//DXufL3/5y1xxxRVcddVVPPjgg0ybNo0jjjiCgYGBcevncEihI4QQQoghLr30Us4//3z23nvvYW0fxzFXXnkln/rUpzjhhBPYa6+9uPHGGymXy9x8883j3NtXJ4WOEEII0QJRk6M5gw8M7O/vH7LUarUJ/yyrVq1i/fr1HHnkkY11juNw6KGH8tvf/nbC+/NSO06hozSxaRFbDioMiA27vl4RG3by2jCIDRtlOclbfo241A+ATmWSEM9MDmW7qNADbRA7GXQqkwQvZvIoyyIOQwh94sCvB3gajW7oTI44DJNwT9OGKExCPE07Cf18SbhnVD92HPjYuQx+sQRAbcsAViaFMjR+qUIcRhipNHEtCbkcDJlUhib0kiBQv1jCcG1M10YZBn6pSuT5WPk0oRc0XmvbQFsm2rIort2EmXEByM3qJqh62Lmkf6EfEEURpmti51zczgJKa4KKT1D1MF2H4ro+Qi/AyrgY9ZBEbZnEYUxU71etdwC3PUWtd4DihhLPPfh3lKEwbIP0lDR+NSDXk8XOWFgZi9APye+UI/J9ojBGa4WdsTBTJpEf4A1UqfXVcNtd4jAk051GGYrqlip2xsIvDYaYJqGhbrub7FdfX+v36F+9idAPk3DOakDoJcGG0xfuhl+qYqZM/FKVWm+R/JweAAzXroeAekRhXG+rRlCtUd3cj53PJIGe6RTaNgkqHto2cdqyVDf3YzgOoR+Q6ekkCiOiMCIzYyqh7yehsVEI2iCqlPD76+dFrYJO5wgHelGmRVyrEBV76yeaQdS3GUwL4ghMB+1VkiBPILbTL/7VCKoQRyi/TKw0XhjjR+CYGqUUYZyEJ2qlGBwpDyNQCnK2iWtpco5B1Y+IiDF0EghZcJKfedEL8MOYbP0c8MMIpx70OBjc2J1zMLSi7IekLQNDQcExSdkGKdugLZUE3Q4GbwJJcGXKGnKstGU0fglMa3MJ46QvOdds7JuyDeZOTcIyB0NDB0NBAeZNzbChP/m7ZNT7OdgPQ2sKabvRhzCKk/BOPwnvLFYDTK1wUhY7tadRWlHzQnKuRS2IsBwTx0nCMe16n8IoJmUZdLanmD+jgOeFdGQdUrbJjI4UadvASZmkszbtBTcJNQ0jZndm6Mg6hFFM1rWwzaSPlmNi1oM1B/sY+BE9BZeufNKuY2oqXkBHxibrmFT8kJRtNoJL29IWxaqPF0SsL9boyjt4QUTFD2lzk+9qZnuKKRmbrGuyU0eqcT4Nfv+GVjimJm0lAa1py6AjZZG1DVxD1wNfI7wwpuCatLsWllZY9XDOtGU0gj9ztkkYx1j1gM4wAs1g2CwEIXhhjFLgmroR4gmQMpPvC8DUSdCnY2gikjkyg6GfYZzsP5H3MYVx3PQCMHPmTAqFQmNZunTpBH6KxPr16wHo7u4esr67u7vxXqvsOIWOEEIIMQmtWbOGvr6+xnLxxRdvc7slS5aglHrV5aGHHmqqL6qeLj8ojuOt1k00eY6OEEII0QJj9RydfD5PPp9/ze3POeccTj755FfdZs6cOaPqy7Rp04BkZKenp6exfsOGDVuN8kw0KXSEEEKIFpjoBwZOmTKFKVOmjPp4r2bu3LlMmzaN5cuXs2DBAiC5c+uee+7hS1/60rgcc7jk0pUQQgjRAtvz7eWrV69m5cqVrF69mjAMWblyJStXrqRYLDa22W233bj99tuB5JLVRz/6Ub7whS9w++238/jjj/P+97+fdDrNe9/73nHr53DIiI4QQgghhvjsZz/LjTfe2Hg9OEpz9913c9hhhwHw1FNP0dfX19jmoosuolKpcPbZZ7Nlyxbe8pa38Itf/IJcLjehfX85KXSEEEKIFgjjiDCKmtp/vCxbtoxly5a96jZxPHRESSnFkiVLWLJkybj1azSk0BFCCCFaIGry8lM0jpeuJpPX1RydpUuXNq4DCiGEEEK8ltfNiM6DDz7Itddeyz777NPqrgghhBBNC6MYPYF3Xe2oXhcjOsVikfe97318+9vfpr29vdXdEUIIIZoWRM0mmLf6E7w+vC4KnQ9/+MO8853v5B3veMdrblur1bbK/RBCCCHEjmm7v3T1gx/8gEceeYQHH3xwWNsvXbqUSy+9dJx7JYQQQjRHLl1NjO16RGfNmjWcd9553HTTTbiuO6x9Lr744iGZH2vWrAEgNh0wbGJtEhsv1ncq9JPQTaUg8FFRkAQcmkmIoHLqxzWdRrCiTmUgCokGtkCptxHKCQwJ8FSmhdIGOEkQps7kUW4G1dHTCGgE0Lm2+rFSKK2JSv1JuGcUJaGcgYfh2mjLJCgWsTIpIi8gDiOU1pgpm6BYBK2x6iGcURhi2EnQZRxG9D29Fm2baMskO2MKfn+ZyA8Iqx5h1aPWO4A3UMbKuFQ3D6AMjekmn8kvVwAabZc2lAmrtcb7cf32SDNlk5qSw8q4hH6ANhTa0GjLJPSCRhtmyiTT04lX8ihtGEBpTXVLBa0Vj/1pM6ZrEnohhq0pzGqjMLsd0zWpbqmHloYx2RlTsVyT0E+CRbWh8Eo+hmUQ+hFxGGG6DrmeLKZrUtlSRRmaoBIQegHKUGS7M8RhTBxGRF6EYRkElQC/6GG6JvmdcuR3ymO6JoZlYOczRF5IZlry89KW2QhQ9UtVSs+XCf2QTHcGJ59C28m5UN6whfKGLfj9ZUI/qH+nVYKqhzI0cRgRRyGma1Pd3EfkBRiWSaqzQGpqO0b71OQciZJwUa+/RLqrnbBUBNNGu+kkFNayUaaNSmVQlk3kVVGGQVxLwjpjq34OKw2h9+J5GgWgTSK3gIojbEMRxzFeGGPpJNBzMDywFkQokuH2MIqJiPGCGMeoBzBqRdmPcAyNVgo/jLC0puyHdGVsUpZBGEPWNpmatnFMg96qT2fappC2yNomYZwEdlqGpq/s80LRwzU0Kdsg65p0Zmx27soSRTGuocm7LwZ+pi3dCO80tGJK2iJtG9imxjWTwM+BasALJY+UZQwJ57RNTcpKgjHTtkHONfFrQRKiGUR0Zh26cg6dGZuuvPuS/QzcdLLO0IoZ7Wk6OlJJH0yNUz++qRW79eQbYaIdeQfH1GzeUsGs9/cN3Vm0VlS8kIoX1ANFTdyURVvWbvzMNvRXG/0aDBndXKyRc81GcGm5HkZrm5ppXRmyrklHxmGn9hQzOlLYpqbgmMzrypCyknO14odJSGrapiOThBtnbJNC2sI2NW0piwEvoJC2sAxdD2BVzMi7pGwDL4joySXfTbEaNMJZLZ2cD5AEwTpmcjzH0CgFfhjjmkk4rKGgI2WRtgzSloFSyT/P6XofDQ1xTBIgW2/T0GAbCttQRPVYzsFztugn/z4ZSpGykjDPShBRCSLCKAmoNVTyvlYwkalM2/MDAyeT7XpE5+GHH2bDhg3st99+jXVhGHLvvfdy1VVXUavVMAxjyD6O4+A4zkR3VQghhBDboe260Dn88MP5wx/+MGTd6aefzm677cbHP/7xrYocIYQQ4vVCLl1NjO260Mnlcuy1115D1mUyGTo7O7daL4QQQryeyAMDJ8Z2XegIIYQQk1UYxSgZ0Rl3r7tCZ8WKFa3ughBCCCFeJ153hY4QQggxGcRxTNzEqMzLQzXFtkmhI4QQQrRAFMVNzbOROTrDs10/R0cIIYQQohkyoiOEEEK0QBzHTV1+kktXwyOFjhBCCNECcdTkHB25dDUsculKCCGEEJOWjOgIIYQQLSCTkSeGFDpCCCFEC8RRsjSzv3htO86lK6WGnlVxBHFMbDkor5TE4WqDWJtJurN+ScJ5PcmcbCdEISpdqK+3UZaTpEXr+leZbkNn2xqJ3jrXhooCdCHZN3YyqFqSWq4Mo5GObk6dAaaFcjPoVIa4ViUOPOx8Jkk8N23iMCKseljt7YS+j7ZMUj3dmGkXM50CIKh6RF5AUE6SvrVl4g2UiKII07WJ/ABtmTjtWeIwws6l8UsVtG2htMbrL6MMRVit1VO9A7Rl4fWXcdpySfthRFD10JaJ255JUtQNTWpqOwBuR/L9BJUkqTusejjtOZShqfUWsXMuhms3UscjP0gSwm2DA948HTtrU9gpT+hFWBkXt7OANjSGbRB6IeVNZYKKh19N2q9uqZLqTD5P8r0q3HYXb6CEX/LJz8wn33HKJDUlnfzZtdG2gVfy8AZKZKdnMVMmhdl5rKyNYRt4JR87l8bKOKSnpJKE95KHti3iKMLOp/FLVYJqDW3oRn+iemq0k0++70GDKfBefwnDMhvp805bFqUNvP4y2jLRtomdzxBUa1hzdieqlom9Kmij3ncnSU4PI6LeDcReFaU1ynZRbjo5j30vOd98H1J5VOhB4CcdCWqowIc4RoUBsdIQR6gwed8LY3KOgVYQAZZWaFQjDdo2kjRySBKfDQ1+FBHFMSUvIm1pCq5JwU2SyNOWbiRPR3GcJF5rhWloojimWA2I4pisa1ILIvwoSlLMo5hpbS5ZN/m7OC3r0OZa+GFMT84hXU9Cj+KYF6p+kjpebzvrmrimgWMmyeG2qZN2naTd7pxD2jYopC2KtSBJK3dMdupI4ZpJG7apmdWdpSvv4nkhYRTTUU8QL1Z9Zk7JMG9qNklJ70zhBSFd+SRQuC1t0VvxyeYd2tIWhlYsmN1OZ9ZOUtDryeWFtI1pJUnjjql5oehhmrqRTr6xv0ZPwWVeV5ZNWypU6ueWqVXS/5SFF0RsLtZoS9vs1J6mK+8wb2q2kdruBRFtaZuegktX3iFlG41U9LIfMjXjYJuandpTFFIWYRTTlXPwwogZhRTVICRtGczuTNNb8ZmStjGUohpEVMMIrRR516Ir62BoRdELGj8DrZI0+1oQYhlJmr1jagyVnDOWkWSF+1FEwTUp+8n7fhQRxjFRnEQkdKQMHFPhmIowSpLKLa1w6/81tcKsp5prknWD621DEUTJxN1akLSnFdg6OXcjYvwoph6ETiiDJJOOjOgIIYQQLSB3XU0MKXSEEEKIFpA5OhNDCh0hhBCiBeT28omx48zREUIIIcQOR0Z0hBBCiFZockQHGdEZFil0hBBCiBaI4hjVxITiSCYjD4tcuhJCCCHEpCUjOkIIIUQLxHGTk5FlRGdYpNARQgghWkDuupoYculKCCGEEJOWjOgIIYQQLRBFoJp6YOAYdmYSk0JHCCGEaAGJgJgYO9alqzhCxRGxlQQfYhgQ+MRWGhXVwxfrAYex0sReBUyb2LAhCpJgRNMmrhaJowhl1cM+tdEIVsQwkuNYTiMYNPZrSdNuBuVVQGlUWxc6nUuCGLVBHIVJX6ol0AZRsRdlu8RhlASCAmY2i+HaxL6P05ZDmXb98PX9gTiM8EtJeKRfqhJHEWY6CQ4Nqh52Pk1Y9QgqHsrQSTinbWFYJt5AldAL0ZZJbUsJbdX7H4Z4AyXiMAkGzXZnMF2boFTFcB2CakB2xlTCeqColXGJw5D87A4M1yb0A+xcGtO1Md2kz4Zl4eRT5GZNpbypgl/yMVMmbXPbyXSl0baBYWviKEJbJoZrYaZM2ue141cD4ijCydsUZhcwbANlaJSRnM5BJSCOYrRlEnph8h0amqAS4ORtdH27TFeOoBpgpVM4eYdMV5rc9CyGpZnx1lkYtkEcRXgDVYJ6YKcyNGG1Rq13gMqG3uT7ty2cthyRF2K59b5mUrj1gMdUZwHDNrFzmUY/Qz9AGRpvoIwyNHEUEvkBdj5DZlpn8pktC53OEdcqRJUSOpMjrpYwM0koalj1knMkipLzWRsoyyaulBqv0To5p1XymVU91Da2U8m5OvhXw7C3+uti1IMPvTAJPDSUolpPPExbBlopvHqoI9AIaExbBkolwZOWVmRtE0PTCPYsuCaOoelIWWwuexTSFmEMu03J4pgaS2v6qz6GVnS4Frap6UzbTMs5aKVIW0l4p2Nq0pZu7JOxDDaVfdpSFh0ZG0Mln6Eja5OyDboyDpZWOKamPWUxqzNNZ9qmI2M3gkPDKAkdfUN3DkMryl7IvKkZsmmLlJWEZCaBlRZZx6Qza7NbT47OrMNuPUl4rGNqCimbrpzDvK4sszszzO5M05N3sc3k51D2QmpBRBjFvGF6noof0pFxWNdX5U2z27FNzezODCnboCNrk3NM8rkkfHPe1Cz7zGzDNjU516RY9XFMzW49OTqyNj2FFF4Q4QURb+jOAbBbTw5DqcbxM5ZByjJ4fqBGV8YmrI8qtKUtUvUw0FT9O85YBjNyLlnbJGUZFByTvzxfJG0Z+GHyfRW9gJRl8LeNJQqOybSci6EVq7aU6z8jA0srCq6JoRQpy8BQiqIXYtfPmzCCrG3gmhqtFEqBpTXVIGqEdQYhmEYS6mnqZD9DQ6r+uWxDYRpJhnMYUQ8PTc7fMIYwjpPA1vq5aSiFayQ/08E26t0Rk4iM6AghhBAtEEfJ0sz+4rXtWCM6QgghxHZiMNSzmWW8fP7zn+fAAw8knU7T1tY2rH3e//73o5Qasrz1rW8dtz4Ol4zoCCGEEC2wPd9e7nkeJ510EgsXLuS6664b9n5HH300N9xwQ+O1bW99WXyiSaEjhBBCiCEuvfRSAJYtWzai/RzHYdq0aePQo9GTS1dCCCFECwyO6DSzAPT39w9ZarVayz7TihUr6OrqYv78+XzoQx9iw4YNLevLICl0hBBCiBaI4rjpBWDmzJkUCoXGsnTp0pZ8nsWLF/O9732PX/3qV3z1q1/lwQcf5O1vf3tLCy+QS1dCCCHE69qaNWvI5/ON147jbHO7JUuWNC5JvZIHH3yQ/ffff1T9eM973tP481577cX+++/P7Nmz+elPf8oJJ5wwqjbHghQ6QgghRAuM1WTkfD4/pNB5Jeeccw4nn3zyq24zZ86cUffn5Xp6epg9ezZ/+ctfxqzN0ZBCRwghhGiBiU4vnzJlClOmTBn18UZq8+bNrFmzhp6engk75rbIHB0hhBBCDLF69WpWrlzJ6tWrCcOQlStXsnLlSorFYmOb3Xbbjdtvvx2AYrHIhRdeyP33388zzzzDihUrOPbYY5kyZQrvete7WvUxABnREUIIIVoibvKhf+P5HJ3Pfvaz3HjjjY3XCxYsAODuu+/msMMOA+Cpp56ir68PAMMw+MMf/sB3vvMdent76enpYdGiRdxyyy3kcrlx6+dwSKEjhBBCtMD2HOq5bNmy13yGzkuPn0ql+PnPfz5u/WnGDnPpSteKSVin6aKCKmhNbNioOHox0DOOiU0LtPniuihERQFxtURsOijTgkx78p5pJ2EjTgZyyXVP5deIvWoSkhhHRKX+ZJ/B0M3KALE2UaFH5FUx2ruIA59ooDfZ380k4YymBYGfBD6W+hsBomHVA8DrLyWfK5NH22ayPoowUzZxFBFUPAzXRukkGNOwTAzLJKh4WJkUdj6N4TqNoM7BQEwAv1SjsqWKMjRuZx7TdYi8AG2b2Pk0qh6mF0URU/bZGaVVIwA0qHqEfvLduR0FIj+g9+n1SV8tEyufAcBwbQzXxmnLYmcttG2QmdaGNjTVLVUMyyTVmUHpJPjSL9WIwpjicwPU+pPwUMM2iMMIJ++gdBLamepqI9OdIdWZxS9VgSS8Mz8zR6Y7g2EblDeXCP2AoOrhtrmU1m8m8kJCP8Ir+dT6PVJT2zFdE6U16a48URjjl6oYlkZbFpVNA4R+gGGZVDf3UesdwMoknyPVWcCwTLI9+UaQ5+DPw3TtegCon5wPYYSVSaFz7ZgZN/mOpnYTVj2cjgLhxrWEpSJh1SPs24xyMxiOg9dbTIJWowhtWhid01C2+2KQJyTnj5OEd8Z+LQmf1SaxlUrCZaOI2HKT870euqOCGpaGWhARkQQhQhKGWPIjwjgmjGOytsZQCktrojgJdgzruTu2odEowjimI2U1wh9dU+OHMVopLCMJVcw7Jq6hCcKIrJ0ERs4quORdi66MTd61KDgWrqkpeiF+FDXCQ8t+xKxCioKTnHtW/Ry2tKZYC2hPJX9ndsq7dGeTu1D8KCbrmo1QUj+MSNsGO0/JNAI7B4NAwyjmjTPb8ILkg6VtA0MrNgzUsA1NV95hflcWQysqXkAYxXRkHAppi3ldGaYVXLwgopC26v0NMbRip/YUO7Wnmd+d46/rB5JAySGBoSZ7zSiQsg1StkGxGjCtzWX3njzzpmaZVnCZ25Hm71sqTCu47DmjgG0aFFIWXVmncbzesk9n1mZ2/bP5YUTetRrLG6ZlCaOYgmvSVt9nas5hVnuaQtpij54cFT+kVO93R8rCMTVlP6RYC+jJOURxTNY2GoGtADt3pOnJOeQdk7xjNgJYtVIUHAtDg6EV7SmL7qyNRhHFMYYGP4yxdHJuaRR+FGEoRfSS81CjqIZJ0OdgyGwYx8SAF8akTE0QxdiGQqskuDOOk6BPWyd/hiR81TYUtpFs44UxZj3oU0wuMqIjhBBCtMD2HAExmUihI4QQQrRAFMXQRLEynqGek4kUOkIIIUQLxFFIXJ/WMNr9xWvbYeboCCGEEGLHIyM6QgghRAvIiM7EkEJHCCGEaIE4iposdKIx7M3kJZeuhBBCCDFpbdeFztKlSznggAPI5XJ0dXVx/PHH89RTT7W6W0IIIUTT4jBsehGvbbsudO655x4+/OEP88ADD7B8+XKCIODII4+kVCq1umtCCCFEU+I4bMzTGdUSS6EzHNv1HJ277rpryOsbbriBrq4uHn74YQ455JAW9UoIIYQQrxfbdaHzcoPhYR0dHa+4Ta1Wo1arNV739/ePe7+EEEKIkZK7ribGdn3p6qXiOOaCCy7gbW97G3vttdcrbrd06VIKhUJjmTlz5gT2UgghhBiepi5bNVkk7UheN4XOOeecw2OPPcb3v//9V93u4osvpq+vr7GsWbMGgFjpJLgQQJvJ69AjslMARG4SI69rJWKdDHQpOwWpPCgN2c6knWoJFSaBjAQecbWUvB+FSWii0kmwIkDoEwc+sZVK1imNst0kJDTw0elcEjJqJ4vOdxB71aQt0wZtYDhOvc8GceDhDZRQjoudzzSCPs20S+QHBMUiQcXDL1UxUzba0JipJJDTzLj4pWoS+FmtEYcR6a62ZDvLxOsvYedc3PYM2tCkp6SIwygJjbRNUl3tWBkXt7OQfA9hROT5DKx+nnRXEt6ZntZBblY3AE5bjlrvAGYmRaozg2GbZHo6SXXmcdpzlNZvJtWVhKMqrYi8ECuTory5hGEbaNsk8gMiP8DrL+HkUxiWJj0ljWFprHyaXE+WVFc7oR9S3tCHYWviMEQbiqDqYeczOAUHw7VJd+XxSx6Wa1LeVE5+fBWfzjd0YLo2dj6Fk3fQWtE2r5M4jNCGIo4iCjvPQBuqESTqtGXpWrBL0ka1RnpqO0HVo/MNL440KkPjtOXQtkkcRoRVDyvjElQ9lKExXQc7lwaSgFOiEDuXJqx6aDdZH0chyklR6x1A2yaqfl6pVIagWkNbSehoUK4kp0gqQ9S3mdirolOZJLi2VoEwROn6ORpHxG4uCfo07eTcBfCrYFjESmMbSbikBlJmEnBoqCT80DU0cQw528Csn+aDwZ45x8A1NWE9oNHSCj+K6UxbjSDOgmvSnbFxTU3WNplZSJF3k7BIgNltLo6p6c7Y9dBQRcE1mZqxsbRiStpmStombWnaU0m7YQyGgpRl0JWxydpJxyxDE8aQtZNgyZ3yDgXHpDvvkraSIMqSH+IFEY6h6cja2KYm65hMTSd/nppzyLomtqmZ353FNY1GgGfKTsJK//5ChY5Mst1uPTkK9TDR9pRFT8El65p4QYSlFWEU4wURs6ek6cjadLe5tKUsuvIObWmLzoxNd/2YWddkY3+tEQ66704FZk9J49XTU21DJ99P2kqCRf0Qx9T8fUuFF0o1UvUQ0lQ9cFPXA0sBOlIWrqGZ35WlFkRkXZNC2qI9lSyuoXlDZ4ZpWYc212LdQI20lXxHZT+iM2MD0JWxqfgh7a5FwTHZb3Y7uh6KObOQYq/uHFoperIOrqkxDQgjaHctNpU9XENTDSMsrSk4yc/TMhTVIMI0IGVpXEtTC5NAWernZByDbSiCKAniHGS+JLRTqeS8GNxPQz2oNgn8jOOYlyYwxHGM5nX0S1EM2+vi0tVHPvIRfvSjH3Hvvfey0047veq2juPgDBYHQgghxHZKLl1NjO260InjmI985CPcfvvtrFixgrlz57a6S0IIIcSYkAcGToztutD58Ic/zM0338wPf/hDcrkc69evB6BQKJBKpVrcOyGEEGL0oihMLik3s794Tdv15cirr76avr4+DjvsMHp6ehrLLbfc0uquCSGEEOJ1YLse0YkHZ5UJIYQQk4zM0ZkY23WhI4QQQkxWUuhMjO360pUQQgghRDNkREcIIYRohTAk1k2Mykio57BIoSOEEEK0QBw3d9eVhHoOj1y6EkIIIcSkJSM6QgghRAvEUdTciI48MHBYpNARQgghWiBu8oGBctfV8Owwl65iO01kZ4kNi9h0QOkkUDMMIPSScEOliJwMKgrqO0VJAKfSybo4RqVyEAUQeKANlJtBhV6yuZUithyUnUrWaQOjvSvZz7SSYzpZYsNGaY1yUkm7WmO0T0Xlp6AzeXSurR4SqjFnzUelMijTIo6iJABSG3j9JdAG0UBv4zOGVQ87nybd1Y7TliP0ks+hDJ2sa88mIZBVj9BP3ovCCMM2Case+bk9OG05CjtPx2nLEkcRfqmKnUtTXLsRM+1ipl0Kc6dR2HkGyjAa4ZVef4nU1I6kf0CmpxOnLUd6ahu5Wd24nQWU1lQ299Ox22zCqke6qx1taAzbINuTR1smuRntpLuy5GZ247RlcdpypDoLmJkUbbtMp/vNu5FqdwHo3HMuuZld5GZNxcmnyM/qxO0sYLomhmViZVzsnJu0MbUdr+iTmpKm54A5tM+fiTY0xQ0lgqpHYecZOG05rKxNdsZU/HKVKIyx0ilM18GwkqDRoBpgZVy0bWLn0sRRRGbGFDp2n42Vccj2FJIQ0WkdtO8+G79UJTNjCto2sTIpqpv70G4aM+OS6iyQ7mrHzBeIKyW0YWBmXGKviuHaKNMm9pOQVu2mUY6LclzCgV4iP8DKpFBuBsO10Zl88vOslDA6pyf/LXQSlQfAMMB0iC2HKFVA1UrERvJzirVJrE1UUGucR4ZfxlAKpZLQxOglz7NSKglODF+2ztAqCfckxqqHLPZWA9JWEjzpGAZaKaakk8BLP0z2787azCq4TEnb+GEStril4tORtuirBUm4aD3csz1l0ZN1cAxNGCXBotUgImcbaK3I2QYdqSTgsj1lEUYxm8vJ382sbZBzTPworgd/mvhRhKEVs6akSVsGs9tSzG5LnrhuGpqFs9uxtMI2Nbv35HHMJLR0zxkFDK2Y3Z4mimPe0J2lp80lXw+2dExNsRpgacWu3Tl6sg69ZZ+0ZZCyDXbrydGVTfL49p/bwYyOFB1Zm6xrYmiFYxqEUUzGMrBNTbEW0JVzyLtW/TtzKPvJL7gZeZcwijG0anxXPQWXt+/WhaEVXTknCUnNOnRlHOa0p2l/SehoV8am7IekbIPpebf+s7DIOiYvVHy6s8l54pgaP4zpybtEccyCmW1kbQPLSEJQDQ1+FJO2kqDTgVrAlHQSzFpwTcp+SE/OYUPRR6kkVDRnm6QtTclLPouhoStjJYGvjkaThMiGUUza0tiGIm1pvCgma2lSpqLgGNhGEkBr1MNETa1QJL/cTENhKIWpQSnV+IVn1M/ROI6J6yG0ybmsMI0XQ0LF5CAjOkIIIUQLJJeuRn/5SS5dDY8UOkIIIUQLyKWriSGFjhBCCNECUuhMjB1mjo4QQgghdjwyoiOEEEK0QBSFKBnRGXdS6AghhBAtEIcRqCYKnVAmIw+HXLoSQgghxKQlIzpCCCFEC0jW1cSQER0hhBCiBeIobHoZD8888wwf+MAHmDt3LqlUip133plLLrkEz/Ne/fPEMUuWLGH69OmkUikOO+wwnnjiiXHp40hIoSOEEEKIhj/96U9EUcS3vvUtnnjiCb72ta9xzTXX8MlPfvJV9/vyl7/MFVdcwVVXXcWDDz7ItGnTOOKIIxgYGJignm+bXLoSQgghWiCOwuYmI4/TiM7RRx/N0Ucf3Xg9b948nnrqKa6++mq+8pWvbLsvccyVV17Jpz71KU444QQAbrzxRrq7u7n55ps588wzx6WvwyEjOkIIIUQLjNWlq/7+/iFLrVZ7jSOPXF9fHx0dHa/4/qpVq1i/fj1HHnlkY53jOBx66KH89re/HfP+jMSkH9GJ6+GDAwNFiOMkgVBplFcGbaK8MrFhgmE3/qy9CsQv3rYXaxMVR8l/Qw/imLiWhGoqKwSliLUJ2hi6fxwThz74KglN1AaxYSUhn36ZOIpQVkhULAGglEtYKoPWRKUKUbmKWSpDFBKVKwTlKrVqjbBcoVKpEZSrxLUqceDhV2rEYURYq2FZJnEYUal6hJUafjVZF1Rr1Koeup6Pog1NFEZJuKXnE1c9gpqHDiNqNR+75mEARhhS9HzcSg2vXGWg5uFVa5RqHn7VI/ICLEMRlasMVJNruH6lRrnqYRmKoOoTVmoorRmoeZiVGgM1j7iS9Kfo+UlQZNWjVvMJPB+zWqNY87FMI/lcfoBlaoJKjaIfMFD1MMIQI44ZqHkEno9WCv8l7QU1j3L9cylDU/QDYs/Hr3kE9e2KQYDyfJxqjWLNa7Rdqf/ZrXlQqVH0fFTNo+j7DFRrKEPjVT0qNR+jUmu0p+IYv5r8PCzLZKDmoSo1KjWPqN5Of/178itJO07951ir1LBMjelU8Co1TG1iuBUGqh6qXEUZBkapjFeuUq561Co1/FJyXvgDJcJSmahSxhoo4pfKmG6yzhgoovwakR0Smz66WiS2Q4gjYtNvnOtR7ELoAxBaAWU/wtQwUAupZ3Bi6yQk0dBQ9EKC5PQnjGM0akioZ6kaEMWQCi2KteQfZC+MMOvv63o7tSCiFsRopRhQFuVihaL2KJWSvtSCiKIdUKokP+NaENf7GxOYinI1oFKsUcajGFqUS17yOrKp1AJKeFhakYosKsUBTN+kqH0qxQEqQdKvkh1RrofgWoamGkSUQotKsUw1CKmVPSrF5JjVUo1auUq5aFP1QypBSLXkU1EehmdQCyOqpSrlIlT8CCxNrVykXDSolmpUQgtDKaqlGoZWhGby/5t+ENWPo6iWKlSUR61UxQwNKrFNOfaoloqUtU+lFuCVi5SLaaqlIl65SLWkKCufaqlIxfDxKyUqxQFq5RLlokbbJqGpKVd8nNCiXPWxAwsvjKiUypQjm5L20QrKxSqhoSmaPpVikdgyKEU2lWIl+TfRMihpj3I5+RmVQiv5OVR8im5EuVilqH2iOAmFLdVCirFFqRbhhCZxDGU/ZCC2KQ3U0EqhPAPLUPhhjFKgUViGolgNGIgsykFEFINWYCtFZGuqQbJtEMaEJMGigaHxogirHtBZ9CMMBbbWxHGMF8foWhKc6tVPbNNQBGGMUopKaWDI745xFfo0dZT639eZM2cOWX3JJZewZMmSZloe4q9//Sv/8R//wVe/+tVX3Gb9+vUAdHd3D1nf3d3Ns88+O2Z9GZV4kluzZk0MyCKLLLLIIsuwlzVr1ozb76VKpRJPmzZtTPo5bdr/3969x0VV5n8A/4wwMwwII0QwDBhKJIgiKqZiIlgq6HpLW6+RVJqkiLiaudouaKtiKauZeGFRt9bSLcB1UxEsLiqoyGUFQUQFL1xEDVBSbs7394c/Th4YLpbKxe/79ZrXi/Oc5zzn+R5mnvnOmfPMUdGNGzeovLxceFRWVmrdb0BAQLPtJScni7YpKCggW1tbev/995uM6cSJEwSACgsLReWzZ88mDw+P33fAfqcOf0ZHrVbj2rVrMDQ0hEQiae3uNOnOnTvo2rUrrl27BiMjo9buzu/G8bRtHE/bxvG0DiLC3bt3oVarn9o+9PT0kJeX1+wsppaQyWTQ09NrUV1fX19MmzatyTrdunUT/i4sLMTw4cPh4uKCHTt2NLmdSqUC8PDMjoWFhVBeUlLS4CzPs9bhE51OnTrBysqqtbvxWIyMjNr0QPC4OJ62jeNp2zieZ0+pVD71fejp6bU4QXlSTE1NYWpq2qK6BQUFGD58OJydnbFr1y506tT0Jb3du3eHSqVCTEwM+vXrBwCorq5GfHw81q1b97v7/nvwxciMMcYYExQWFsLd3R1du3bF+vXrcfPmTRQXFwvX4dSxt7dHZGQkAEAikcDf3x9r1qxBZGQkMjMz4e3tDX19fcyYMaM1whB0+DM6jDHGGGu56OhoXLx4ERcvXmzwjQg9cpF2Tk4OysvLheWlS5fi/v37mDdvHkpLSzFo0CBER0fD0NDwmfVdG0502hC5XI6AgADI5fLW7soTwfG0bRxP28bxsNbi7e0Nb2/vZutRvZlpEokEgYGBT3TG15Mgofo9ZYwxxhjrIPgaHcYYY4x1WJzoMMYYY6zD4kSHMcYYYx0WJzqMMcYY67A40XmCQkJC0L17d+jp6cHZ2RnHjh0DANTU1ODjjz+Go6MjDAwMoFar8c4776CwsLDZNjMyMuDm5gaFQgFLS0usWrWqwZXu8fHxcHZ2hp6eHmxsbLBt27anGk99c+fOhUQiwcaNG5ttsy3Hk52djfHjx0OpVMLQ0BCDBw/G1atX22U8FRUV8PX1hZWVFRQKBXr27ImtW7c222ZrxZOQkIBx48ZBrVZDIpFg//79ovVEhMDAQKjVaigUCri7u+PcuXPtMp72Nh409795VHsZC9hzplVuPNEB7d27l6RSKYWGhlJWVhYtXLiQDAwM6MqVK1RWVkYjRoygffv20fnz5ykpKYkGDRpEzs7OTbZZXl5O5ubmNG3aNMrIyKDw8HAyNDSk9evXC3UuX75M+vr6tHDhQsrKyqLQ0FCSSqX0/fffP7V4HhUZGUlOTk6kVqvp73//e7uN5+LFi2RiYkIfffQRpaam0qVLl+iHH36gGzdutMt4Zs+eTS+//DLFxsZSXl4ebd++nXR0dGj//v1tMp5Dhw7RihUrKDw8nABQZGSkaH1QUBAZGhpSeHg4ZWRk0NSpU8nCwoLu3LnT7uJpb+NBc/+bOu1lLGDPH050npCBAweSj4+PqMze3p6WLVumtf7p06cJQIPE4VEhISGkVCpFN2hbu3YtqdVq0mg0RES0dOlSsre3F203d+5cGjx48G8NhYhaFs/169fJ0tKSMjMzydrautnBrS3HM3XqVHr77bcfq822HE+vXr1o1apVovX9+/enTz75pE3G86j6b6YajYZUKhUFBQUJZZWVlaRUKmnbtm2NttNW49GmrY8HdRqLpT2NBez5w19dPQHV1dVISUnBqFGjROWjRo1CYmKi1m3Ky8shkUjQpUsXoczb2xvu7u7CclJSEtzc3EQ/sOXh4YHCwkLk5+cLderv18PDA2fOnEFNTc1Ti0ej0cDLywsfffQRevXqpbWd9hKPRqPBwYMH0aNHD3h4eMDMzAyDBg1qcIq+vcQDAEOHDsWBAwdQUFAAIkJsbCwuXLgADw+PNhdPc/Ly8lBcXCzar1wuh5ubm+j11V7i0aYtjwfNaU9jAXs+caLzBNy6dQsPHjxocIdWc3PzBvcGAYDKykosW7YMM2bMEN3czsLCAi+99JKwXFxcrLXNunVN1amtrcWtW7eeWjzr1q2Drq4u/Pz8Gm2nvcRTUlKCiooKBAUFwdPTE9HR0XjzzTcxadIkxMfHt7t4AOCLL76Ag4MDrKysIJPJ4OnpiZCQEAwdOrTNxdOcun039/pqL/HU19bHg+a0p7GAPZ/4FhBPkEQiES0TUYOympoaTJs2DRqNBiEhIaJ1a9eubVGb9ctbUue3aCyelJQUbNq0CampqU3uo73Eo9FoAAATJkzAokWLAAB9+/ZFYmIitm3bBjc3NwDtJx7gYaJz8uRJHDhwANbW1khISMC8efNgYWGBESNGtMl4mtPc66u9xQO0r/FAm/Y6FrDnC5/ReQJMTU2ho6PT4OxNSUmJ6BNJTU0NpkyZgry8PMTExIg+vWmjUqm0tgn8+umnsTq6urp44YUXnko8x44dQ0lJCV566SXo6upCV1cXV65cweLFi9GtW7d2F4+pqSl0dXXh4OAgWt+zZ88mZ1211Xju37+P5cuXIzg4GOPGjUOfPn3g6+uLqVOnYv369W0unuaoVCoAaPb1pW27thhPnfYyHjSlvY0F7PnEic4TIJPJ4OzsjJiYGFF5TEwMhgwZAuDXQS03NxdHjx5t0QvVxcUFCQkJqK6uFsqio6OhVquFQcTFxaXBfqOjozFgwABIpdKnEo+XlxfOnj2L9PR04aFWq/HRRx/hyJEj7S4emUyGV199FTk5OaL1Fy5cgLW1dbuLp6amBjU1NejUSfzy1tHREc5etaV4mtO9e3eoVCrRfqurqxEfHy+8vrRpq/EA7Ws8aEp7GwvYc+rZXvvccdVN9w0LC6OsrCzy9/cnAwMDys/Pp5qaGho/fjxZWVlReno6FRUVCY+qqiqhjWXLlpGXl5ewXFZWRubm5jR9+nTKyMigiIgIMjIy0joFc9GiRZSVlUVhYWFPdPqytni00TbToj3FExERQVKplHbs2EG5ubm0efNm0tHRoWPHjrXLeNzc3KhXr14UGxtLly9fpl27dpGenh6FhIS0yXju3r1LaWlplJaWRgAoODiY0tLShFlIQUFBpFQqKSIigjIyMmj69OkNppe3l3ja23jQ3P+mvrY+FrDnDyc6T9CWLVvI2tqaZDIZ9e/fn+Lj44mIKC8vjwBofcTGxgrbz5o1i9zc3ERtnj17llxdXUkul5NKpaLAwEBh+mWduLg46tevH8lkMurWrRtt3br1qcajjbbBrb3FExYWRra2tqSnp0dOTk4NfnOmPcVTVFRE3t7epFarSU9Pj+zs7GjDhg2ivrWleGJjY7W+PmbNmkVED6eYBwQEkEqlIrlcTsOGDaOMjAxRG+0lnvY2HjT3v6mvPYwF7PkiIar3U5SMMcYYYx0EX6PDGGOMsQ6LEx3GGGOMdVic6DDGGGOsw+JEhzHGGGMdFic6jDHGGOuwONFhjDHGWIfFiQ5jjDHGOixOdNhTExgYiL59+z7z/cbFxUEikUAikWDixInPfP9PUl0sZWVlT7xtd3d3+Pv7P/F22dO1du1avPrqqzA0NISZmRkmTpzY4PYlRITAwECo1WooFAq4u7vj3Llzwvqff/4ZCxYsgJ2dHfT19fHSSy/Bz88P5eXlonZKS0vh5eUFpVIJpVIJLy+vFj8Xr1+/DplMBnt7+98d8+M4d+4cJk+ejG7dukEikWDjxo0N6gQGBgpjRN2j7p5qrOPhRIf9JvUHifoPb29vLFmyBD/++GOr9TEnJwe7d+9utf23dREREfj0009btQ8teVO6e/cu/P39YW1tDYVCgSFDhiA5OVlUp7Hn4eeffy7UqaqqwoIFC2BqagoDAwOMHz8e169fb7aPV69exbhx42BgYABTU1P4+fmJ7tFUWVkJb29vODo6QldX97GS6/DwcDg4OEAul8PBwQGRkZGi9QkJCRg3bhzUajUkEgn279+P+Ph4zJ8/HydPnkRMTAxqa2sxatQo/PLLL8J2n332GYKDg/Hll18iOTkZKpUKI0eOxN27dwEAhYWFKCwsxPr165GRkYHdu3cjKioK77//vmj/M2bMQHp6OqKiohAVFYX09HR4eXm1KLbdu3djypQpuHfvHk6cONHiY/J73bt3DzY2NggKCmoyeenVqxeKioqER0ZGxjPrI3vGWvmXmVk79ej9eTZu3EhGRkaisrKyslbrW91P1peWlrZaH56UjhSLNqdPn6YlS5bQt99+SyqVqsGtA4iIpkyZQg4ODhQfH0+5ubkUEBBARkZGdP36daHOo8+9oqIi2rlzJ0kkErp06ZJQx8fHhywtLSkmJoZSU1Np+PDh5OTkRLW1tY32r7a2lnr37k3Dhw+n1NRUiomJIbVaTb6+vkKdiooK8vHxoR07dpCHhwdNmDChRbEnJiaSjo4OrVmzhrKzs2nNmjWkq6tLJ0+eFOocOnSIVqxYQeHh4QSAIiMjG7RTUlJCAIRbgGg0GlKpVBQUFCTUqaysJKVSSdu2bWu0P//+979JJpNRTU0NERFlZWURAFF/kpKSCACdP3++ydg0Gg3Z2NhQVFQUffzxx/Tuu++K1mt7XtfdSysvL08o27FjB1lZWZFCoaCJEyfShg0bSKlUNrnvR2m7HQURUUBAADk5ObW4Hda+caLDfrddu3ZpHXzqDyazZs2iCRMm0OrVq8nMzIyUSiUFBgZSTU0NLVmyhIyNjcnS0pLCwsJE7Vy/fp2mTJlCXbp0IRMTExo/frxoMKyvseTgu+++o969e5Oenh6ZmJjQG2+8QRUVFcL6nTt3kr29PcnlcrKzs6MtW7aItr927RpNnTqVjI2NSV9fn5ydnUVvAiEhIWRjY0NSqZR69OhBX331lWh7ABQaGkoTJ04khUJBtra29J///EdU5+DBg/TKK6+Qnp4eubu7065du0Sx5Ofn09ixY6lLly6kr69PDg4OdPDgwUaPxZYtW8jW1pbkcjmZmZnR5MmThXVubm60cOFCYdna2ppWr15N7777LnXu3Jm6du1K27dvf6xjcODAAerfvz/J5XLq3r278P9tCW1vSvfu3SMdHR364YcfROVOTk60YsWKRtuaMGECvf7668JyWVkZSaVS2rt3r1BWUFBAnTp1oqioqEbbOXToEHXq1IkKCgqEsm+//ZbkcjmVl5c3qF/3HG+JKVOmkKenp6jMw8ODpk2bprV+Y4lObm4uARDu/XXp0iUCQKmpqaJ648ePp3feeafR/oSGhpKpqamwHBYWpvV1rVQqaefOnY22Q0T0448/kkqlotraWsrMzCQDAwPRDVhbkugcP36cOnXqRJ9//jnl5OTQli1byMTE5IklOvr6+mRhYUHdunWjqVOnipJi1rHwV1fsmfrpp59QWFiIhIQEBAcHIzAwEGPHjoWxsTFOnToFHx8f+Pj44Nq1awAenoYePnw4OnfujISEBBw/fhydO3eGp6en6OuD5hQVFWH69Ol47733kJ2djbi4OEyaNAn0/7d6Cw0NxYoVK7B69WpkZ2djzZo1+Mtf/oJ//vOfAICKigq4ubmhsLAQBw4cwP/+9z8sXboUGo0GABAZGYmFCxdi8eLFyMzMxNy5c/Huu+8iNjZW1I+VK1diypQpOHv2LMaMGYOZM2fi559/BgBcu3YNkyZNwpgxY5Ceno7Zs2dj2bJlou3nz5+PqqoqJCQkICMjA+vWrUPnzp21xnzmzBn4+flh1apVyMnJQVRUFIYNG9bkcdqwYQMGDBiAtLQ0zJs3Dx9++CHOnz/fomNw5MgRvP322/Dz80NWVha2b9+O3bt3Y/Xq1S3+P9VXW1uLBw8eQE9PT1SuUChw/PhxrdvcuHEDBw8eFH0Nk5KSgpqaGowaNUooU6vV6N27NxITExvdf1JSEnr37g21Wi2UeXh4oKqqCikpKb81LKHtR/tT13ZT/amPiPCnP/0JQ4cORe/evQEAxcXFAABzc3NRXXNzc2Fdfbdv38ann36KuXPnCmXFxcUwMzNrUNfMzKzRduqEhYVh2rRp0NHRQa9evWBra4t9+/a1OC4A2Lx5M0aPHo0lS5agR48emDdvHkaPHv1YbTRm0KBB+Oqrr3DkyBGEhoaiuLgYQ4YMwe3bt59I+6yNae1Mi7V/j3NGx9ramh48eCCU2dnZkaurq7BcW1tLBgYG9O233xLRw0+VdnZ2orsaV1VVkUKhoCNHjmjtj7ZPiykpKQSA8vPztW7TtWtX+uabb0Rln376Kbm4uBAR0fbt28nQ0JBu376tdfshQ4bQnDlzRGV//OMfacyYMcIyAPrkk0+E5YqKCpJIJHT48GEiIvrzn/9MPXv2FMX68ccfi2JxdHSkwMBArX2oLzw8nIyMjESfpB+l7YzO22+/LSxrNBoyMzMT7hjd3DFwdXWlNWvWiMq+/vprsrCwaFF/G/v07eLiQm5ublRQUEC1tbX09ddfk0QioR49emhtZ926dWRsbEz3798Xyvbs2UMymaxB3ZEjR9IHH3zQaJ/mzJlDI0eObFAuk8kaPF+IHu+MjlQqpT179ojKGusnkfYzOvPmzSNra2u6du2aUHbixAkCQIWFhaK6s2fPJg8PjwbtlpeX06BBg8jT05Oqq6uF8tWrV2s9xra2trR27VoiInJwcCADAwMyMDAQzk6VlpaSnp4enTlzRtjm888/F15LRC07o9O3b19auXKlaN+bNm0SxporV64I+zYwMKDVq1c36Gtjz6n6KioqyNzcnDZs2NBsXdb+6LZeisWeR7169UKnTr+eSDQ3Nxc+iQKAjo4OXnjhBZSUlAB4+En84sWLMDQ0FLVTWVmJS5cutXi/Tk5OeOONN+Do6AgPDw+MGjUKb731FoyNjXHz5k1cu3YN77//PubMmSNsU1tbC6VSCQBIT09Hv379YGJiorX97OxsfPDBB6Ky1157DZs2bRKV9enTR/jbwMAAhoaGQqzZ2dkYPHgwJBKJUMfFxUW0vZ+fHz788ENER0djxIgRmDx5sqjNR40cORLW1tawsbGBp6cnPD098eabb0JfX7/R4/RoW3UzUer619wxSElJQXJysugMzoMHD1BZWYl79+41ud+mfP3113jvvfdgaWkJHR0d9O/fHzNmzEBqaqrW+jt37sTMmTMbnAXShoiE4z169GgcO3YMAGBtbS3MUnr0/6Ftu+ZcvXoVDg4OwvLy5cuxfPlyrW0/TrsLFizAgQMHkJCQACsrK6G87gLc4uJiWFhYCOUlJSUNzvLcvXsXnp6e6Ny5MyIjIyGVSkXt3Lhxo8F+b968KbRz6NAh1NTUAHh4lg0AvvnmG1RWVmLQoEGiuDQaDbKysuDg4CCMAfT/Z1QBCO00dSwera9Wq5Geni4sN/a8bAkDAwM4OjoiNzf3N7fB2i5OdNgz9ehACjwc6LWV1X0dotFo4OzsjD179jRo68UXX2zxfnV0dBATE4PExERER0dj8+bNWLFiBU6dOiW8AYeGhooG57rtgF8H8aa05E2rqVgfHcQbM3v2bHh4eODgwYOIjo7G2rVrsWHDBixYsKBBXUNDQ6SmpiIuLg7R0dH461//isDAQCQnJ6NLly5a22+qf80dA41Gg5UrV2LSpEkN1rUk6WjMyy+/jPj4ePzyyy+4c+cOLCwsMHXqVHTv3r1B3WPHjiEnJ6fB1yQqlQrV1dUoLS2FsbGxUF5SUoIhQ4YAAP7xj3/g/v37AH49DiqVCqdOnRK1VVpaipqamgZJQ2Mae0NWqVQNvgLSlozUR0RYsGABIiMjERcX1+A4dO/eHSqVCjExMejXrx8AoLq6GvHx8Vi3bp1Q786dO/Dw8IBcLseBAwca/I9cXFxQXl6O06dPY+DAgQCAU6dOoby8XDhm1tbWDfoXFhaGxYsXw9vbW1Tu5+eHnTt3Yv369cJrt6ioSPh/PHqMAMDe3h6nT58WlZ05c0b4W1dXF7a2tk0eq5aqqqpCdnY2XF1dn0h7rG3ha3RYm9a/f3/k5ubCzMwMtra2okfd2ZaWkkgkeO2117By5UqkpaVBJpMhMjIS5ubmsLS0xOXLlxvso+5NpE+fPkhPTxeup6mvZ8+eDa4ZSUxMRM+ePVvcPwcHB5w8eVJUVn8ZALp27QofHx9ERERg8eLFCA0NbbRNXV1djBgxAp999hnOnj2L/Px8/PTTTy3u06OaOwb9+/dHTk5Og2Noa2srOov3WxkYGMDCwgKlpaU4cuQIJkyY0KBOWFgYnJ2d4eTkJCp3dnaGVCpFTEyMUFZUVITMzEzhTdvS0lLob90buIuLCzIzM1FUVCRsFx0dDblcDmdn5xb1u+4Nue5Rl+i4uLiI+lPXdl1/GjN//nz861//wjfffANDQ0MUFxejuLhYSNIkEgn8/f2xZs0aREZGIjMzE97e3tDX18eMGTMAPDyTUzclPSwsDHfu3BHaefDgAYCHz2lPT0/MmTMHJ0+exMmTJzFnzhyMHTsWdnZ2WvuWnp6O1NRUzJ49G7179xY9pk+fjq+++go1NTWwtbVF165dERgYiAsXLuDgwYPYsGGDqK0FCxbg0KFDCA4ORm5uLrZv347Dhw83e8aruroa6enpSE9PR3V1NQoKCpCeno6LFy8KdZYsWYL4+Hjk5eXh1KlTeOutt3Dnzh3MmjWrybZZO9Va35mxjuNxZ109qv51IkTi79V/+eUXeuWVV8jd3Z0SEhLo8uXLFBcXR35+fqLrEh6l7fv/kydP0urVqyk5OZmuXLkiTKU9dOgQET2ccaJQKGjjxo2Uk5NDZ8+epZ07dwrf2VdVVVGPHj3I1dWVjh8/TpcuXaLvv/+eEhMTiYgoMjKSpFIpbd26lS5cuEAbNmwgHR0dio2NFfoALddYKJVK2rVrFxE9vOZAJpPRokWL6Pz587Rnzx5SqVSiWBYuXEhRUVF0+fJlSklJoYEDB9KUKVO0Hof//ve/tGnTJkpLS6P8/HwKCQmhTp06UWZmptZjr+16BicnJwoICGjRMYiKiiJdXV0KCAigzMxMysrKor179zY5O6qqqorS0tIoLS2NLCwsaMmSJZSWlka5ublCnaioKDp8+DBdvnyZoqOjycnJiQYOHCi6noTo4bUm+vr6wjVF9fn4+JCVlRUdPXqUUlNT6fXXX2/x9PI33niDUlNT6ejRo2RlZSWaXk5EdO7cOUpLS6Nx48aRu7u7EFNTTpw4QTo6OhQUFETZ2dkUFBTUYHr53bt3hbYAUHBwMAHQ+qh7HhE9vL4qICCAVCoVyeVyGjZsmDAri+jX14i2x6MzGm/fvk0zZ84kQ0NDMjQ0pJkzZzb5Uwe+vr7k4OCgdV1JSQnp6OhQeHg4ET2cVeXo6Eh6enrk6upK3333ndbp5ZaWlsL08r/97W+kUqmaPK55eXla43JzcxPqTJ06lSwsLEgqlZJaraZJkybRuXPnmmyXtV+c6LDf7WkmOkQPfyPlnXfeIVNTU5LL5WRjY0Nz5szROr2XSHuik5WVRR4eHvTiiy+SXC6nHj160ObNm0Xb7dmzh/r27UsymYyMjY1p2LBhFBERIazPz8+nyZMnk5GREenr69OAAQPo1KlTwvqWTC9vKtEhepic1E0Hd3V1pZ07d4pi8fX1pZdffpnkcjm9+OKL5OXlRbdu3dJ6HI4dO0Zubm5kbGxMCoWC+vTpQ/v27RPWP26i05JjEBUVRUOGDCGFQkFGRkY0cOBA2rFjh9b+EbXsTWnfvn1kY2NDMpmMVCoVzZ8/X+vvNG3fvp0UCkWjv+F0//598vX1JRMTE1IoFDR27Fi6evVqo32rc+XKFfrDH/5ACoWCTExMyNfXlyorK0V1rK2ttcbRnO+++47s7OxIKpWSvb29kATUaSwhmTVrVrNtd0SzZ8+moUOHtnY3WDsjIWrBhQGMtSNxcXEYPnw4SktLG70WhTHW9q1fvx4jR46EgYEBDh8+jMWLFyMkJASzZ89u7a6xdoSv0WEdlpWVFaZPn97a3WCM/UanT5/GyJEj4ejoiG3btuGLL77gJIc9Nj6jwzqc+/fvo6CgAADQuXNnvlkfY4w9xzjRYYwxxliHxV9dMcYYY6zD4kSHMcYYYx0WJzqMsWcmPz8fEokEEokEffv2be3uMMaeA5zoMNaKQkJC0L17d+jp6cHZ2Vm41xLw8Kf+AwMDoVaroVAo4O7uLtx/qSkZGRlwc3ODQqGApaUlVq1a1eD2EvHx8XB2doaenh5sbGywbdu2ZtutqqrCggULYGpqCgMDA4wfPx7Xr18X1SktLYWXlxeUSiWUSiW8vLxQVlYmrO/atSuKioqwePHiZvfHGGNPAic6jLWSffv2wd/fHytWrEBaWhpcXV0xevRoXL16FQDw2WefITg4GF9++SWSk5OhUqkwcuRI3L17t9E279y5g5EjR0KtViM5ORmbN2/G+vXrERwcLNTJy8vDmDFj4OrqirS0NCxfvhx+fn4IDw9vsr/+/v6IjIzE3r17cfz4cVRUVGDs2LHCLQMAYMaMGUhPT0dUVBSioqKQnp4OLy8vYb2Ojg5UKhU6d+78Ww8bY4w9ntb7rULGnm8DBw4kHx8fUZm9vT0tW7aMNBoNqVQqCgoKEtZVVlaSUqmkbdu2NdpmSEgIKZVK0S/3rl27ltRqNWk0GiIiWrp0Kdnb24u2mzt3Lg0ePLjRdsvKykgqldLevXuFsoKCAurUqRNFRUUR0cNfnwYguoVBUlISAaDz58+L2qv/q9mMMfa08BkdxlpBdXU1UlJSMGrUKFH5qFGjkJiYiLy8PBQXF4vWy+VyuLm5ITExUSjz9vaGu7u7sJyUlAQ3NzfI5XKhzMPDA4WFhcjPzxfq1N+vh4cHzpw5g5qaGgAPf11aIpEI26SkpKCmpka0nVqtRu/evYX+JCUlQalUiu4AP3jwYCiVSlGfGWPsWeJEh7FWcOvWLTx48ADm5uaicnNzc+Eu0nXL2tbXsbCwwEsvvSQsFxcXa92mbl1TdWpra3Hr1i0AgL6+Puzs7CCVSoVtZDIZjI2NG+1PcXExzMzMGsRqZmYm6jNjjD1Luq3dAcaeZxKJRLRMRKKy5tavXbu2RW3WL2+uzsCBA3H+/Plm+99cf7XVYYyxZ4nP6DDWCkxNTaGjo9PgTEdJSQnMzc2F21Y0tr4xKpVK6zbAr2d2Gqujq6uLF154odF2q6urUVpa2mh/VCoVbty40WDbmzdvNtlnxhh7mjjRYawVyGQyODs7IyYmRlQeExODIUOGoHv37lCpVKL11dXViI+Px5AhQxpt18XFBQkJCaiurhbKoqOjoVar0a1bN6FO/f1GR0djwIABwldV9Tk7O0MqlYq2KyoqQmZmptAfFxcXlJeX4/Tp00KdU6dOoby8vMk+M8bYU9WaV0Iz9jzbu3cvSaVSCgsLo6ysLPL39ycDAwPKz88nIqKgoCBSKpUUERFBGRkZNH36dLKwsKA7d+4IbSxbtoy8vLyE5bKyMjI3N6fp06dTRkYGRUREkJGREa1fv16oc/nyZdLX16dFixZRVlYWhYWFkVQqpe+//16oc+rUKbKzs6Pr168LZT4+PmRlZUVHjx6l1NRUev3118nJyYlqa2uFOp6entSnTx9KSkqipKQkcnR0pLFjxzaInWddMcaeFU50GGtFW7ZsIWtra5LJZNS/f3+Kj48X1mk0GgoICCCVSkVyuZyGDRtGGRkZou1nzZpFbm5uorKzZ8+Sq6sryeVyUqlUFBgYKEwtrxMXF0f9+vUjmUxG3bp1o61bt4rWx8bGEgDKy8sTyu7fv0++vr5kYmJCCoWCxo4dS1evXhVtd/v2bZo5cyYZGhqSoaEhzZw5k0pLSxvEzYkOY+xZ4buXM8aeucDAQOzfvx/p6emt3RXGWAfHs64YY8/M1atX4eDggOrqajg4OLR2dxhjzwE+o8MYe2Zqa2uFHyGUy+Xo2rVr63aIMdbhcaLDGGOMsQ6Lp5czxhhjrMPiRIcxxhhjHRYnOowxxhjrsDjRYYwxxliHxYkOY4wxxjosTnQYY4wx1mFxosMYY4yxDosTHcYYY4x1WP8HzUNNu8TZILcAAAAASUVORK5CYII=",
+            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjkAAAHXCAYAAABeTUsCAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAjl5JREFUeJztnQeYVOXZht/pbfvCskuVYosFFUvQRFFshFiiUWMsaIyKUaNiYkliL1hi7LErmuhvS9QYjcZgwd5RsWBDQKTDlunt/Nfznj3j7LJ9dnZ2Z5/7ug4zc875vvOdsjMvX7tthmEYQgghhBBSZNgLXQBCCCGEkHzAIIcQQgghRQmDHEIIIYQUJQxyCCGEEFKUMMghhBBCSFHCIIcQQgghRQmDHEIIIYQUJQxyCCGEEFKUMMghhBBCSFHCIIeQPuDCCy8Um83WYt1GG20kxxxzTFGeJ5aSkpIe5TF//vxMHlgeffTRXi8nIWRwwCCHEKJYQcU111yzwRWZM2eObnvnnXe6dLX+9re/yV133dVi3VtvvSW/+c1vZNKkSeJyuTYI+izGjBmj6f/whz/wzhBCcoJBDiEFYuHChXLHHXf0u+t/9dVXSzgczimPI488Ug477LAW655++mm58847NbgZN25cu2krKys1/V577ZVTGQghhEEOIQXC4/FojUZHhEIh6Uu22WYbWblypdx66629nvdJJ50kDQ0NWhvEAIYQ0hcwyCGkl3nllVdkhx12EK/XK+PHj5fbbrutzf1a98mxmoReeuklbdapqamRkSNH9un92WWXXWSPPfaQq666SiKRSK/mPWzYMPH5fL2aJyGEdISzw62EkG7x0Ucfyd577y1Dhw7VTrjJZFIuuOAC/YHvKghwkP7888/vtCZnzZo1XcqztLRUa466Asq96667yi233CKzZs3qUhpCCOmPMMghpBdBYGIYhrz88ssyevRoXXfwwQfLVltt1eU8qqqqZO7cueJwODrdF8FQV7jnnnu6PJLrxz/+sey+++7aNwdNTKx9IYQMVBjkENJLpFIpefbZZ+XAAw/MBDhg8803l3322Uc73naF448/vksBDnjuuee6tN8WW2wh3QG1Obvttpv2zTnjjDO6lZYQQvoLDHII6SVWr16t/Vg23njjDbZtuummXQ5yxo4d2+Vj7rnnnpIP0FyF2hz0zZk5c2ZejkEIIfmGQQ4h/YzuNA+tWLGiS/uVl5d3u9kJfYmmTJmiHacrKiq6lZYQQvoDDHII6SXQPwaBxBdffNHmnDj5oK6urtf75FiguQpBzpVXXql9jQghZKDBIIeQXgL9aND35vHHH5clS5Zk+uV8+umn2lcnH+SrT0523xwEOrfffnuP0hNCSCFhkENIL3LRRRfJM888oyOUMBQcQ8hvvPFGDTI+/PDDXr/W+eqTk12bgwVz9+TK4sWLVdcALD3EpZdemlE5HHXUUTkfgxBCsmGQQ0gvsvXWW2utDeaXQRMPJvND4LN8+fK8BDl9AWpz0Ak5VxYtWiTnnXdei3XWZwRSDHIIIb2NzcCkHoQQ0ksBEYI6jDTD7M3V1dU9Goq/fv16efXVV3U4/iOPPCI///nPeX8IId2GNTmEkLx0wg4EAhIMBns0a/S2227Lu0IIyRnW5BBCeo2vv/5aF+B0OrXTcndBYPTGG2+0aAKEx4sQQroLgxxCCCGEFCW0kBNCCCGkKGGQQwghhAwCZs+eLTvssIOUlpZqEzA69ndlolJ0/t9ss83E6/WqbLiripr+AIMcQgghZBDw0ksvycknn6x93jCRaCKRkL333ltCoVC7aV577TU5/PDD5bjjjpP3339fAyMsCxYskIFA0ffJSafT8t1332nkiiGthBBCSHvgJ7GpqUmGDx8udnv+6gGi0ajE4/Gc83G73VrD0hNWr16tNToIfiDlbYvDDjtMg6B///vfmXU//OEPZZtttpFbb71V+jtFP4QcAc6oUaMKXQxCCCEDiKVLl+pknvkKcKp9JRKWVM551dbWygcffNAi0PF4PLp0RkNDg75WVVW1u8/rr7+uk5tmY+lrBgJFH+SgBsd6YMvKygpdHEIIIf2YxsZG/Y+x9duRD1CDgwDnaBkh7hx6jcQlLfetWCbDhg1rsf6CCy7QiTk7a+U4/fTTZZdddpEtt9yy3f1WrFixQf74jPUDgaIPcqwmKgQ4DHIIIYR057cjnyDAcdtyaBJr7mzS+j/xXanFOfnkk7VfzSuvvCLFTNEHOYQQQkh/xGGz6dLj9GLTQKe7/4k/5ZRTtI/NvHnzOm2SQ3PYypUrW6zDZ6wfCHB0FSGEEFKIH2AbAp2eL0jf3U7Vp5xyijz22GPy/PPPy9ixYztNM3nyZJk7d26LdRiZhfUDAdbkEEIIIYOAk08+WR544AF54okntM+R1a+mvLxcfD6fvj/66KNlxIgROqcOOO2002S33XaTa665RqZPny4PPvigvPPOO3L77bfLQIA1OYQQQkgBm6tyWbrDLbfcoiOq4JSrq6vLLA899FBmnyVLlsjy5cszn3feeWcNjBDUTJw4UR599FEdWdVRZ+X+BGtyCCGEkAJgNTv1OH039ze6MC3eiy++uMG6Qw45RJeBCGtyCCGEEFKUsCaHEEIIGaijq0iHMMghhBBCBkFz1WCEQQ4hhBBSAFiTk3/YJ4cQQgghRQlrcgghhJACYMuxpoE9cjqHQQ4hhBBSANhclX/YXEUIIYSQooQ1OYQQQkgB4Oiq/MMghxBCCClYkJPLPDmkM9hcRQghhJCihDU5hBBCSAFgc1X+YZBDCCGEFACOriry5qp58+bJfvvtJ8OHDxebzab69vaYOXOm7nPdddf1aRkJIYQQMjApaJATCoVk4sSJcvPNN3e432OPPSZvvPGGBkOEEEJIMWBvdlf1dEF60o+bq6ZNm6ZLRyxbtkxOPfVUefbZZ2X69Ol9VjZCCCEkn7C5apD3yUmn03LUUUfJ73//e9liiy26lCYWi+li0djYmMcSEkIIIT2DHY8H+RDyK6+8UpxOp/z2t7/tcprZs2dLeXl5Zhk1alRey0gIIYSQ/km/DXLeffdduf7662XOnDna4birnHvuudLQ0JBZli5dmtdyEkIIIT0hl/44udYCDRb6bZDz8ssvy6pVq2T06NFam4Nl8eLFcuaZZ8pGG23UbjqPxyNlZWUtFkIIIaS/9snJZSEDtE8O+uLsueeeLdbts88+uv7YY48tWLkIIYQQMjAoaJATDAblyy+/zHxetGiRzJ8/X6qqqrQGp7q6usX+LpdLamtrZdNNNy1AaQkhhJDeA+6pXJqcHAbvRr8Oct555x3ZfffdM59nzZqlrzNmzNC+OIQQQkixYs+xyQnpST8OcqZMmSKG0fVQ9JtvvslreQghhBBSPPTbPjmEEEJIMZPzPDmsyOkUBjmEEELIQJzxmM1VA3cIOSGEEEJILrAmhxBCCCkAbK7KPwxyCCGEkALA5qr8wyCHEEIIKQAYAp7LMHAOIe8c9skhhBBCSFHCmhxCCCGkANgcNrHZe16T0x159WCFQQ4hhBBSAOwOm9hzCHLYXNU5bK4ihBBCSFHCmhxCCCGkEDjsYrPnUNdgo6GzM1iTQwghhBQA9MfRfjk9XbrZ1DVv3jzZb7/9ZPjw4dqf5/HHH+9w/xdffFH3a72sWLFCBgoMcgghhJBBQCgUkokTJ8rNN9/crXQLFy6U5cuXZ5aamhoZKLC5ihBCCClUx+McLJt26V7aadOm6dJdENRUVFTIQIQ1OYQQQkgBQH+cXBfQ2NjYYonFYr1azm222Ubq6upkr732kldffVUGEgxyCCGEkAHMqFGjpLy8PLPMnj27V/Ktq6uTW2+9Vf7xj3/oguNMmTJF3nvvPRkosLmKEEIIGcDNVUuXLpWysrLMeo/H0yvl23TTTXWx2HnnneWrr76Sa6+9Vv72t7/JQIBBDiGEEFIArFFSPU7fHOQgwMkOcvLJjjvuKK+88ooMFBjkEEIIIQULcnrea8Qmaelr5s+fr81YAwUGOYQQQsggIBgMypdffpn5vGjRIg1aqqqqZPTo0XLuuefKsmXL5L777tPt1113nYwdO1a22GILiUajcuedd8rzzz8v//3vf2WgwCCHEEIIGQRDyN955x3ZfffdM59nzZqlrzNmzJA5c+boHDhLlizJbI/H43LmmWdq4OP3+2XrrbeW//3vfy3y6O/YDMMo6nmhMZwOvc0bGhr6rM2SEELIwKQvfjOsY/xn+x0l4Ox5XUMomZRp77zF37cO4BByQgghhBQlbK4ihBBCCoDdYdelx+kN1lN0BoMcQgghZCAOITd6nnawwDCQEEIIIUUJa3IIIYSQAsCanPzDIIcQQggpAOyTk3/YXEUIIYSQooQ1OYQQQkghyLHjsbDjcacwyCGEEEIKgN1mE7s9hxmPbRxd1RkMcgghhJACADlnToLONHucdAavECGEEEKKEtbkEEIIIQNR0Jlmc1VnMMghhBBCBuI8OQxyOoXNVYQQQggpSliTQwghhBQAdjzOPwxyCCGEkAJgd5j9cnqcPt2rxSlK2FxFCCGEkKKENTmEEEJIAbDZbbrkkp50DIMcQgghpADY7XaVdPY4fYqNMZ3BK0QIIYSQoqSgQc68efNkv/32k+HDh4vNZpPHH388sy2RSMjZZ58tW221lQQCAd3n6KOPlu+++66QRSaEEEJ6dZ6cXBbSj4OcUCgkEydOlJtvvnmDbeFwWN577z0577zz9PWf//ynLFy4UPbff/+ClJUQQgjJxxDyXBbSj/vkTJs2TZe2KC8vl+eee67Fuptuukl23HFHWbJkiYwePbqPSkkIIYT0Pja7XZdc0pMi6njc0NCgzVoVFRXt7hOLxXSxaGxs7KPSEUIIIaQ/MWDCwGg0qn10Dj/8cCkrK2t3v9mzZ2stkLWMGjWqT8tJCCGEdAWMrMp1IR0zIK4QOiEfeuihYhiG3HLLLR3ue+6552qNj7UsXbq0z8pJCCGEdJlc++MwyBn4zVVWgLN48WJ5/vnnO6zFAR6PRxdCCCGEDG6cAyHA+eKLL+SFF16Q6urqQheJEEII6b2OxznUxrDjcT8PcoLBoHz55ZeZz4sWLZL58+dLVVWV1NXVyc9//nMdPv7vf/9bUqmUrFixQvfDdrfbXcCSE0IIIbnB0VVFHuS88847svvuu2c+z5o1S19nzJghF154ofzrX//Sz9tss02LdKjVmTJlSh+XlhBCCCEDiYIGOQhU0Jm4PTraRgghhAxkzA7EjhzSp3q1PMVIv+6TQwghhBQruc5azBmPi2QIOSGEEEJId2FNDiGEEFIA7Ha7LrmkJx3DIIcQQggpAGyuyj8MAwkhhJBBYCGfN2+e7LfffjJ8+HD1QD7++OOdpnnxxRdlu+2200l2J0yYIHPmzJGBBIMcQgghZBAQCoVk4sSJcvPNN3dpf8xdN336dJ3qBXPYnX766fLrX/9ann32WRkosLmKEEIIKQA2mz2nWYuRvjtMmzZNl65y6623ytixY+Waa67Rz5tvvrm88sorcu2118o+++wjAwEGOYQQQsgA7pPT2NiYF4fj66+/LnvuuWeLdQhuUKMzUGBzFSGEEDKAGTVqlJSXl2eW2bNn90q+K1askGHDhrVYh88IqiKRiAwEWJNDCCGEDOCanKVLl0pZWVlmfW/U4hQLDHIIIYSQAmB32HXJJT1AgJMd5PQWtbW1snLlyhbr8BnH8vl8MhBgcxUhhBBCNmDy5Mkyd+7cFuuee+45XT9QYJBDCCGEFACb3aajq3q+2Lp1vGAwqEPBsVhDxPF+yZIl+vncc8+Vo48+OrP/zJkz5euvv5azzjpLPvvsM/nrX/8qDz/8sJxxxhkyUGBzFSGEEDIIZjx+5513dM4bi1mzZunrjBkzdJK/5cuXZwIegOHjTz31lAY1119/vYwcOVLuvPPOATN8HDDIIYQQQgYBU6ZMEcMw2t3e1mzGSPP+++/LQIVBDiGEEFIA6K7KPwxyCCGEkEEw4/FghEEOIYQQUgBsDofYHY6c0pOOYRhICCGEkKKENTmEEEJIAWCfnPzDIIcQQggpAAxy8g+bqwghhBBSlLAmhxBCCCkA1szFuaQnHcMghxBCCCkAbK7KPwxyCCGEEFIQGhsbu52mO8Z1BjmEEEJIoQSdubiruino7I9UVFSIzdb188C+n3/+uYwbN65L+zPIIYQQQgoA++SYPProo1JVVSWdAe/WT37yE+kODHIIIYQQUhDGjBkju+66q1RXV3dpf9TguFyuLufPIIcQQggpADa7Q5dc0g90Fi1a1K39FyxY0K39GeQQQgghhQBBSi6BShEEOfmGg+wJIYSQQoB5bnJdBgErV66Uiy++uEdpB8cVIoQQQsiAZMWKFXLRRRf1KC2bqwghhJACYHM4dMklfTHw4Ycfdrh94cKFPc6bQQ4hhBBSCNgnR9lmm210/hsMEW+Ntb47c+lkwyCHEEIIIQUDc+RcddVVMnXq1Da3f/zxx7Lffvv1KG8GOYQQQkgh0M7DuYyuKo5utZMmTZLvvvtO58xpi/r6+jZreboCgxxCCCGkAHDGY5OZM2dKKBSS9hg9erTcc8890hMY5BBCCCGkYPzsZz/rcHtlZaXMmDGjR3kXR10XIYQQMtCwNU8G2NMF6YuUV199VWKxWM75MMghhBBCCkEuAU6uI7P6OdOmTZNly5blnA+DHEIIIYT0K3ra0bg17JNDCCGEFAB2PM4/XQpyZs2a1e2M//SnP+nY946YN2+eXH311fLuu+/K8uXL5bHHHpMDDzywRSR3wQUXyB133KFDyHbZZRe55ZZbZOONN+52eQghhJB+BScDbJfbbrtNhg0bJn0S5Fx33XUyefJkcbvdXcr0lVdekVNOOaXTIAdDxiZOnCi/+tWv5KCDDtpgOyYHuuGGG+Tee++VsWPHynnnnSf77LOPfPLJJ+L1ertUFkIIIaRfwnly2uWXv/ylNDY2yuOPPy6bbrqpbL755pLX5irUstTU1HRp39LS0i53LMLSFqjFQXCFGqEDDjhA1913330a2eGkf/GLX3S16IQQQgjp5xx66KGy6667aiVJJBKR7bffXr755huNBx588EE5+OCD89PxGJPwlJeX92k106JFi9Q8uueee2bWoQw77bSTvP766+2mw5AzRH/ZCyGEENJfBZ25LMXEvHnz5Mc//nGmYgXBDbqqoEXn0ksv7VGeXQpyMAmPx+PpVjVTIBCQXECAA1oHS/hsbWuL2bNnazBkLaNGjcqpHIQQQkj+mqtyXIqIhoaGTDeXZ555Rmtu/H6/TJ8+Xb744ose5ZnTFQoGg/2u1uTcc8/VC2UtS5cuLXSRCCGEENIJqJRASw366yLI2XvvvXX9+vXre9wP19mTZiS0l7344osSjUYz6y0VeiqVkt6gtrZWX1euXCl1dXWZ9fgMLXt7oMapO7VOhBBCSEHg6KoWnH766XLEEUdISUmJyjqnTJmSacbaaqutpE+CnCOPPFIDmrvvvlubjhDY5AOMpkKgM3fu3ExQg5qiN998U0466aS8HJMQQgjpK2x2hy65pC8mfvOb32i/2yVLlshee+0l9ubmuHHjxvW4T063g5wPPvhA57XBkK5cQXPXl19+2aKWaP78+domB+soojqcGObFsYaQDx8+vMVcOoQQQgjpOjfffLPOUYf+rZjG5cYbb5Qdd9yxzX3nzJkjxx57bIt1aC3JbsnpTSZNmqRLNuiT01O6HeTssMMO2s+lN4Kcd955R3bfffcNJh1ER2dc2LPOOkvb5k444QTtYf2jH/1I2+k4Rw4hhJABjy3HzsNI300eeugh/a299dZbtdYEU7Vg/rmFCxe2O01MWVmZbs8cNk8tOPnAZnRTEPHVV1/JzJkztdlqyy23FJfL1WL71ltvLf0JNHFhlBU6IeNGEUIIIYX8zbCOsfbFh6WsxN/zfIJhqZ5yaLfKutNOO2llxU033aSf0+m0dvg99dRT5Zxzztlgf1Q4oFUFFQ0DkW7X5KxevVoDnezqK0R1vd3xmBBCCCGd03pkc3sDcOLxuHY3wShkC/R7wXx0Hc0/h64l6AiMgGi77baTyy+/XLbYYosBcWu6XdcFBcO2226rF+Trr7/WfjTZr4QQQgjpyi8wmqscOSzmTzhqYrLnh8N8cW2xZs0arYjozvxz6JqCgUZPPPGE/P3vf9dAZ+edd5Zvv/22OGtyFi9eLP/6179kwoQJ+SkRIYQQMhjIdUK/5rToJ5vdXNWb06hMnjxZFwsEOPBIwWxwySWXSG+DDs0ffvihrFq1SgOqbPbff//8Bzl77LGHjrBikEMIIYT0nFzVDFZaBDhd6ZMzZMgQcTgcOt9cNvhszU3XGeiHi9ac7JHRvQUGFh199NFa49SannaH6XaQs99++8kZZ5whH330kU7O07rjcU8iLUIIIYTkF7fbrcOzMf+cNRULakvwGZP8dgUEGvj9/8lPftLr5UPn50MOOUTOP//8nP2XPQ5yMLIKXHzxxRtsY8djQgghpP/OeDxr1iydpgWGb8yNgyHkmKrFGkyEmpQRI0Zk+vXgt/6HP/yhtt5ghBXm10G3lV//+tfS26BGCeXrrQCnR0FO6zYyQgghhAyMIOewww7TUdKoLUFnYxgF0ExkBRaYbdiaadjyRh1//PG6b2VlpdYEvfbaa/KDH/xAepuf//znqowaP3584ebJGWhwnhxCCCH96TfDOsa6t/8jZSWBnucTDEnVDtOKZh64cDiszVVDhw5tszvMb3/72/zU5Nxwww0663BXZxrGTIqQbJWWlna7QIQQQshgwGa365JL+mLi//7v/+S///2vxhqo0cmeWRnvexLkdKkmB72xUVWF6KorIKKEgwpSrULDmhxCCCH96TfDOsb69/4nZaU51OQ0haRyuz2LpiantrZWAxnMvJzdZJYLXarJQRw0depUcTq71oUnEonkWi5CCCGEDCLi8bj2GeqtAAd0KWq54IILupXpAQccoCZxQgghhLQDmmN6INlskb6ImDFjhgpE//CHP/TvIIcQQgghnYAAJ6cgp7j65KRSKbnqqqvk2WefVdl3647Hf/nLX/I/hJwQQgghpLfBJIOYTRksWLCgxbbsTsjdgUEOIYQQUgAMm12XXNIXEy+88EKv58kghxBCCCkEbK7KO8UVBhJCCCEDquNxjssA56CDDtIh9V0Fc/DBUJ73IAdDvRYuXCjJZLKnWRBCCCFkEPPEE0+oZgKBTmcL5gN68sknJRgM5q+5CtMuwxR677336ufPP/9cJ/3DOki9MIkPIYQQQjoB88HkMidMEcx4bBiGbLLJJnnLv9tBzrnnnisffPCBTrm87777ZtbvueeecuGFFzLIIYQQQroAOx5Ljzobo0Ilb0HO448/rpP1QL2ePaRriy22kK+++kr6K+mv3pZ0ebkYdqdIuF4knRKb2yvi9IgRDYqRiIvdF5B0JCS2siEikUY1vBr47HKJkUiIPVAqqfWrxeb1i83hEJs3IOlQo9hcbs3PseXUQp8mIYQMOuYvqxe7zSZbDy+Xj5Y3iMNmE5fdJom0IV6nTfBLlTJQayDidti0K0swntZtHoddHHaRVFrEZRdZu77rTSEkd3bbbTfJJ90OctB2VlNTs8H6UCjU43HshBBCyKCDo6vyTrcb9Lbffnt56qmnMp+twObOO++UyZMn927pCCGEkGIPcnJZSO/W5Fx++eUybdo0+eSTT3Rk1fXXX6/vX3vtNXnppZe6mx0hhBBCSF7odhj4ox/9SObPn68BzlZbbSX//e9/tfnq9ddfl0mTJuWnlIQQQkixwZqcvNOjGY/Hjx8vd9xxR++XhhBCCBkkGDZbjlqH4uoHe8EFF8ivfvUrGTNmTK/l2e2r294kPU1NTTpBICGEEEJITyYGRCXK1KlT5YEHHpBYLCZ9HuRUVFRIZWXlBgvW+3w+jcAQjaXT6ZwLRwghhBQtbK5qAbrCvP322zolzWmnnSa1tbVy0kkn6bo+C3LmzJkjw4cPlz/84Q86Zw4WvMfkPLfccouccMIJcsMNN8gVV1zR40IRQgghRQ/dVRuw7bbbagzx3XffyV133SXffvut7LLLLrL11lvrQCeoHfLaJwc6h2uuuUYOPfTQzLr99ttPOyHfdtttMnfuXBk9erRcdtllGvwQQgghpA04T06HuodEIqHdYPAeLUY33XSTnHfeedon+LDDDpO81ORgqDgirdZgHUZYWSOwlixZ0t2sCSGEEDKIeffdd+WUU06Ruro6OeOMMzS2+PTTT3WKmi+++EIrUH772992Ob9uBzmjRo3SKqTWYB22gbVr12rURQghhJCO3VW5LMXEVlttpcqoRYsWaUyxdOlS7foyYcKEzD6HH364mhfy1lz15z//WQ455BD5z3/+IzvssIOue+edd+Szzz6TRx99VD+jk1BXq5IIIYSQQQmClFxM4kUW5Bx66KE6hLwjAeeQIUO6NbCp21do//3314AGsx6vW7dOF7zHup/+9Ke6D3pD/+Uvf+lu1oQQQggZpBjNfW9aE4lE5OKLL+5RnjYDuRYxmMOnvLxc1r8/V0rLK0ScLrFFGsVIp8XmdInhcItRv0pN41JSLemV34i9vNq0j/sC+mok42ost3l8YsQi+mqz28VIJtReDgu55oXoMp3SNBbpcJPuY8Sj4qiu1TTphrXmMWJRXS/JuIjTLemm9WIPlEm6qd40n8eikk4mJLRstZRttrEaz1PRuDi8bl1nc9jFSKX1uHaXUwKjR8ja9z+Vqi3GmoZ1rA+USmLNSt1uszsk3tCk6cqPu7Sg94UQ0vccfPeb0hBOyLiaElkbjMnmdWXyxcomKfG6pMTjlFTa/DnAupoyj673uRwSjCV1PbbXh+OazmG3STxp/o86HE/ptpFVvsy6oaUe8bsc0hRP6jHryr2SSBmSSKel3OOSWDIlLoddyjxOtYVHEilNVxNw63q/y65m8FKPQ9aEE1LidkjA7dDj4Nh49Trtmha/YunmnzKsQ7qUYahx3Gk3J8zzOmwSTxtqJIehPJRMi9tu07xAMm2okTzU1Cibjhmuo3jKysry+ru0+pvPpaysNId8mmToRpvktax9icPhkOXLl28gAUcXGKxLpcxnJO8zHtfX18tbb70lq1at2qDa6Oijj+5JloQQQsjggqOrWoA6F0v6nc0HH3wgVVVV0hO6HeQ8+eSTcsQRR0gwGNTIMbtAeM8ghxBCCCFdBU1UiB+wbLLJJi3iCtTeIN6YOXOm9EmQc+aZZ2rHINjI/X5/jw5KCCGEDHpYk6Ncd911WouD2OKiiy7SpjwLt9stG220kUyePFn6JMhZtmyZjlFngEMIIYT0HAo6TWbMmKGvY8eOlZ133llc6CPbS3Q7yNlnn310yPi4ceN6rRCEEEIIGXw0NjZmOk1j4j+MpMLSFj3pXN3tIGf69Ony+9//Xj755BOduKd1xIUh5oQQQgjpBDZXCfrjWCOqIPpuq+Ox1SG5T0ZXHX/88fra1pj1nhaiPZDXhRdeKH//+99lxYoVKgY95phj5E9/+lObF4IQQggZcILOXNIPcJ5//vnMyCm87+3f9m4HOd2ZaTBXrrzySjWbQwoK9TqayY499ljtlNQddwUhhBDS72BNjuy2226ZyzFlypRev8T9ek5oyEAPOOAAbSJD7+qf//znsvfee+scPYQQQgjpPjfffLP+pnq9Xtlpp506/U195JFHZLPNNtP90U3l6aefzstlv+eee/RYbR0flR19FuSEQiE9yVtvvVVuuOGGFktvgl7Wc+fOlc8//zwzIdArr7yiGon2iMVi2pEpeyGEEEL6G4UQdD700EMya9YsueCCC+S9996TiRMn6oAiTO7bXmUDpJjHHXecvP/++3LggQfqsmDBAultZs+erW6q1qC/Dqat6ZPmKpzkT37yEwmHwxrsoC1tzZo1OqQcBenNZqRzzjlHgxREkJjuGX10oFnHZIQdXSSMsyeEEEL6NQVorvrLX/6ifWvR9QOgsuKpp56Su+++W39zW3P99dfLvvvuqwOOwCWXXCLPPfec3HTTTZq2N1myZIkOI2/NmDFjdFtP6PYVOuOMM2S//faT9evXi8/nkzfeeEMWL14skyZNUkN5b/Lwww/L/fffLw888IBGnKiuwjE6qrY699xz1eNhLVC1E0IIIcVK69YLtGi0RTwel3fffVf23HPPzDq73a6fX3/99TbTYH32/gA1P+3tnwuoKPnwww83WI9WnOrq6r6pyZk/f77cdtttemFQu4KLiTlzrrrqKp3Q56CDDpLeApEjIstf/OIX+hltgQioUFtjTR7UGo/Ho0u7EXPaFFpCsCn25tPHe6cbdjAVberuGBqfjKvgEsJMe2mVGPGI2CHttDpf2x1iy0oDOSfW6dtwk9j9pngN0s1UPGoKPSMhFW1C0GnzeMWIhsTmDWT2U9Fn83GxPrFsiaRhm2sGck7rNZ1IirssIJG1DeLwmufmr60yyxePqpBTy+5yqtgT6610TfddKMFlq8XusIu3ulyC364Wf02l2N1O3T+yar24Aj5Z+/HXUrHJKImubRR3qV+PF161XtxlfnGXBiRW3ySRVfXiKjNnv06GouKpKJFYfVDzcfrcElsfzGwPr1grDq9HHC7z2o+69K6cnxNCBgqTL58rDvzNBVySTKQkFkmK1+/Sv/FU0hCPzylpFU4aYqQNGTE0ICvro/LdovVSM7JM/17rqnwqxFyzNqL7e9wOmTiqQl77bJVEQwlxeZwSKHVLPJ7SfZevi8hmI8vl61VBlW5Clgm5pd/tkLWhuDRFkyrijKMMzfJLgPU4zpjqgK5zYNSLQ6ReRKpK3LKiPio+t/l9h3QfLK2Xugqvvsd65OdxQrTpkNXJmIQTKX2fSIs4bKISTsg/IdaEMDNmwzFE08ATGk2mdf9s4OCE5NP6SsQ+wGVHGrPsSNsQS6gE1Ncs8ES+eMUCKafTYROvYZdoKi0OwywP0jns5vu+nQyw5we00o4aNarFejRFYWRya9DqghaRYcOGtViPz5999pm0BUY2t7U/1vc2aBZDa1Bpaansuuuuuu6ll16S0047LRMH5D3Iwbw4CHCsqAtVSJtvvrmOeOrtWhM0iVnHskBg1ZcjvAghhJB8gKCtWZ7e4/QAv73ZE+W1+R/9AQCawr755huZOnWqOJ1meILfezgx+6xPDmYkfPvtt2XjjTfWoV/nn3++Rod/+9vfZMstt5TeBM1i6IMzevRoHUKO/kBoT4TfghBCCCHmTMBdmQ14yJAhWlGwcuXKFuvxuba2ts00WN+d/XMBnip0jEawgyYqdIlBCw765PSUbvfJQTRVV1en7xGAYLbCk046SVavXq3NWL3JjTfeqMPGf/Ob32ht0e9+9zs58cQT9QIQQgghAxk0seW6dDeImDRpko5azpQhndbP7QkwsT57f4COxz0VZnYFmMjx24/pY3IJcHpUk7P99ttn3qO56plnnpF8gXY52EmxEEIIIcUEQpQcWqt6lHbWrFnapxW/5TvuuKP+vmKktDXaCk1DI0aM0L6vAP1h0GpzzTXXaNDx4IMP6sS8t99+u+SD++67T66++mr54osvMgEP+uceddRRfRPktAdGP6Hp6t///ndvZUkIIYQULejsjCWX9N3lsMMO05YX/F6j8/A222yjlRVW52L0s83uC4v56jDCGTqlP/zhD9pV5fHHH+/17ikA3VHOO+88OeWUU2SXXXbRdZgbb+bMmdotBqO78xrkPPvss1pNhSqvX//61zqqCj2yMQLqySef1GFlhBBCCOm/nHLKKbq0xYsvvrjBukMOOUSXfIMuKlA5oTYpW/qNPrkYLZbXIOeuu+7SCYQw+R/myLnzzjs16jr11FM1MsTsh+g3QwghhJDO0akCchhelUva/ghs5Kg5ag3WYVteOx5j1kMIM1FlhEn68PrXv/5VPvroI531kAEOIYQQ0v3mqlyWYmLChAkaX7QGI67QTNYTulyT89VXX2WqqzDhH8awo3PQyJEje3RgQgghhBALKJnQMjRv3rxMn5xXX31VR3e1Ffz0apATiUTUTwVsNptONmQNJSeEEEJI9ymyypicOPjgg+XNN9+Ua6+9Vjs3A7QSwZKOOfp6Qrc6HqMfTklJib5PJpMyZ86cDYyhvSnoJIQQQoqVQoyu6u9gHp+///3vvZZfl4MczDp8xx13ZD5jtkPMcpwNangY5BBCCCGkK0Ao2lW6Mqtzj4Mc+CQGMobLgyhMDJdXbKH1KsGEwFKSCZVsQq5pS8TMqkOINhG0ub0q1YRIU5IxlWsK3kN8GQmZsk6nWyWYNl/ge1FnoEwkGpJ0NPR9AZBn85JsbBRHZUjTaP4QdOL4kHM2C0RVsgmhZyotvupyLYuEGlWuCfEl5JmJUERcpX599Q8boucE2aYlEE0EQyrkTDSGJd5klgXbPSNGS2LVdyrTrNx8jMo7IdKE6DNQV63HjDeF9RiRtUEJhKKSCEU1L2sbXh0ul75ixkwIN7E+lUhmRKCugFealqxUqSeOgc+x9SHx1bgkJUktzydH7yfxUFzKx9ZoHms/XabrKyYMU/Gnv65KkqGIHh9S0JXzv5OhP6hRoaEex+XUc1r1wRKp3X6cNHz1nVRuPlrWLvhGnD6XpOMpsTlskowmxWa3iSvgkWh9REIrQ7LzS/P69iEkBeHcpz6RWDItpV6n1IcTKo6MxFMqkYQgctn6sAwt9crqpqhsMaJcvl0fkRKPUz5b3ijjhpbI16uDms+YIQH5dGl9sxvIKdFIQpKJtJSUeVSGGW40zc++UrdEmuL63g3hZsoQl8chqWRa5ZwAIsloHM+w+V9xJ0SV6aTKOa38g40xLTdEnsl4SgIBt6xa3iRbj6mUtz5dpXlhf+S1vCGqebh9hh4P5bHbbSr3xAicYDSh5wvppnXeANdB5Zt2m1T4XCrkxHXAPsFoUtxOs7xIj2sUSZjfjZbIs9zv0v3qIwnZeFip5od1eC3xOlXKGW+WaGJdqdupaSHKxLYSt0PCuIZuU9QJCSjOGfJOFWbabCrkhDMUrzY3RJtplW9CzqlizuYGH7fDLqnm0UZVPpdKPJGnuc4UWdrFJnY9hlkGiEEt8D6ZwnrpMzi6SqSiokIrSDq7TtgHctGCTQZICCGEkK6DeCqXmKoYVNUvvPBCXvNnkEMIIYSQggBlRD7ptqCTEEIIIbmDlrRcl2Lj5ZdfliOPPFInAFy2zOy+gP6/0Dv0BAY5hBBCSAHgZIAt+cc//qF6KJ/Ppz7MWMzs59bQ0CCXX3659AQGOYQQQkgBsDoe57IUE5deeqkaFDCS2+VqHsgjohMDIujpsyAHsx/DSHr44YfLqlWrdN1//vMf+fjjj3tUCEIIIYQMbhYuXCi77rrrBuvLy8ulvt4c2Zj3IOell16SrbbaSmcl/Oc//ynBoDm88oMPPpALLrigR4UghBBCBuvoqlyWYqK2tla+/PLLDdajP864ceP6Jsg555xztErpueeeE7fbnVm/xx57yBtvvNGjQhBCCCGDDTQ25dTxWIqL448/Xk477TStRMG8ON99953cf//98rvf/U5OOumkvhlCDuv4Aw88sMH6mpoaNZMTQgghhPSkEgWTy06dOlXC4bA2XcGTiSDn1FNPlT6pycHshMuXL99g/fvvvy8jRozoUSEIIYSQwQZmZM51KQa233577XDc1NQkf/zjH2XdunWyYMECbR1avXq1XHLJJT3Ou9tBzi9+8Qs5++yzZcWKFVqdhKgLKnREWkcffXSPC0IIIYQMuuaqHJdiYOLEiXLWWWdJXV2dxhGvvfaa/OAHP5Add9wxIwXvsyAHY9U322wzGTVqlHY6RkFQpYSJezDiihBCCCGkq9x1111acXLzzTfLkiVLtLlqwoQJGm9YEwL2lG73yUFnY4xhP++887Q6CYHOtttuKxtvvLH0Zwyb3ZRgxkIq2FTsTrG57GZEHIuIzRnTbSrKTIoY8ajYfKViRJpa5hVplmu6fGJLxSWNfJGnwyVigwJOxOZs7pRtt4u9tFJSDWv1I9K5KivN9MjHbhcj3Pi9DNTpEjtEn+mUpEONKuCElBOfIbm0Oeyat82R1M/A6fWIkU5JvD4o3lGjMsdKx5PiKgmoLNMejWnaZCQm9lXf6fZYfZPYvX5TtgmRZygq6z5dLBXjR0hk1XopHT1M4kFTEhpd2yDuUr+EVqwVp9ctkdXrpfGb5VK74w8k8dUykaEVEly2WgK11eL0eyXeuE73g+QTYs54Y1iPCUEmPgPkCdFmMpJU0aarzC++IX6JrPl+34ZFq2TIFqMluPwbLT9IhHAuNgmviYjDbZfAiKG6HnLRdZ8tVSEphJx2CPsSKXG53SrnTIQSup+/OiDhNWH59Nj9ZfUna6Ruu+FidzslvKpR/DVlElzeILXbT5BkJK7CT09lQK8BcHg9svaT7yQwLKDnmghHdH3JiKGZc8Q1KtuoTkLLVkv5+BGmtDSV1usBmSjOG+twf3BO/ppKcTZfE9wP71aTJfTGc3rfcf/spRWSDjWJY+gIfSaVZFyfF0dljaSb1otz2Gh9BlTkiufM5Rabt8QUy/rKRJqlrYbD/JO3Qf7qCYik4vp3kPaWiuEOSNrpkUjCVB7GIXpMQZooUuK2q5AxGE/DcytfrI1KXalbgvGUihAhTfS7HPJNfURfG6IJlSxCxojXWDIlDbGkShZL3Q6VI9ZHE1LqccoXK4Myutov60JxFUJCDgnx4lergjK+xvxf3MrGqB5/WKlH5i9tkJFVPmkIJzL715R6ZG0orjLIxWvDssWIMllRH80IJj1Oe0ZGGYmYkj9IKi3hJNZDTolXyDmddpvmC1klzgEgb4gzY7Gk7gdhZiRqimYTsZTYnXYVbmKBpBMCzWB9VLwBl9Z6uyH1DCfE7rBpnik8+4mU/g3g/5vIA5JNh9Muoaa4xCIJ3S8cjIu/1NPiOyiNsvicEo8mxV/h1fI4nXaJRfAVZjOPg3Uuu7g8TnHY7VLhd0tT1MwT+68NxvS61DdEZWSVX/PFNp/bFJmOqymR5fWRzDWyrhnSID2knJBxWoJPiE9xvbFA2onrjWuG95oWgtC4ee2sewI5p98FGaeheQfjyYws0+Ww6bMEEafXaddnIppIq2DTknLiuTO/30WcNpsKPfW7JZkWn8sucIOiRceOr/+sag99ru2i91kFoS67xNOGSj4LMRlgLumLBb/fL8ccc4wumKbmnnvukdtuu01Hbe+9995y3HHHyUEHHdR37qrRo0frQgghhJAekKuaoYiCnGzGjx+vo7jRFwezIJ944onyzDPP5M9CPmvWrC5n+Je//KXbhSCEEEIIsXjxxRe1NgdBjtPp1OHlPaFLQQ5GTnUFVMkSQgghpHPQ7GY1vfWEXNL2R7799luZM2eOLl9//bX8+Mc/lr/+9a9yyCGHqM8qb0HOCy+80KPMCSGEENI2uZrEi2QEuTz88MNy9913y9y5c3XOvRkzZsivfvUr7XycKz3uk0MIIYSQnsOOxyZHHnmkTJ8+XR577DH5yU9+Inb0FO8luhTkoEczqo/Kyso67d0MnxUhhBBCSFebqVCDkw+6FOTAAGr1t0Ggw743hBBCSG6wucokXwFOl4Ocn/3sZ+L1mvNvoEaHEEIIIbnBjsf5x97VIKe+vl7fOxwOWbVqVb7LRQghhBCS/yBn6NChKsoChmGwuYoQQgjppeaqXJZiIZVKybx58zIVKn0a5MycOVMOOOAArcVBf5za2lp939ZCCCGEkM6hhfx7ED9A37B+/Xrp8z45F154odrHv/zyS9l///11FsKKiopeLQghhBBCBi9bbrmlTgI4duzYXsuzy/PkwDyOBbIszD4ImdZAAkJCEZcp5/SWii0eguXu++2ohXK4xOZymaLNdFplmWKkJR0JmVVeanlLqVwTGG6fGKtWqSjRCDWKBMpUuKnHgJgTEs5Y1JRullY0iz8TYvOack49rjcg6XCTGFFT7mgJFi2S4ai4ysq0DBA22tJ2sbviEm8MSTIal0STmQ7bIJlE+SD4TATN/CFtdJaUqIzTEkJCEAlxZiqelPULvpCysXUSXduo241USqL1TeKvrdZzgYgSckmIJQFEnsBdGpDI2qA0fLM8I/e09tHjQj4YjetxsR2fIzhGsww0GYpqWZw+l/ghDo3GdH10fURcAZcKO6PRuMoGkUfjt00SqCkVh9shDd82in+IX7dB7om8mpYHNb+SEdUqyEzF01K/pkFKh5dIOp5SaaIdYshQQjxl38+cGVkf1XLiD8HpdUpsfUjzxPmElq/VNBBv2l1OceD6QgoYTUoqnpJ0Oq1izrULvtHrAekmri3O1V3ml9AyPFd2SYeSkgibYs1EKKL7QSIKKSfuG849FU+Iw+0Sezwpsc/eVUEq7ifuvT4XeJbCjfreXlmjz5vKOp0u89nAMxSLqLAT+6bWrxK7PypGMi52iGQNU2Soz3AqJQaeRadHhbKafyppNkVD9JoW8TpsKtF0Q/aYTEsiLRJNpXVeD1xLCBOTuKaQIjpFYjE0Y4uUe5y6DjLOjSp8EkumNT0kneFEKiNQhJwR8sYmSarQEXLHtcG4ijchYgRDyzwSTZquGoggIXxMGSKlXqeUeJ2yqjEmVSVuKfO69DgqEI0mVfQIOSfWWXJN7L+8IaoCxlQa+9q1DNhu7ed3O/QYeG3CPYZEM21IdYlbhZV4r2WNm+cQCkGimZSSmoDgrw0yTBV14nlOpKSi1CP1q7HFZf6Nps2mfogzUZ5ELKn7QcqJbfhcW1ui12VtY1ScePaSaUnGUxINxU2xpsO8VpYM1Ot3SVWJR75Y0SQpXAOnTfOy5JypJM7fvMarmiWnFpaME+JQ3BfrWkXiSRkzJKDSUxxf/+7t5rXCNUOa1Y0xTYN81wXjes0hM8X1G1bm1VfcP2xDOpwv9sezAakmBJw+h0OvvcfpUAksnhPsg9dKn0trOXQdHtmESCKVkiGQjMaTAg1y859jpskGr9ak+6bQE3l9356DY8Sa7wHy9OBZMIyMnFP/PtOGJPuwDQhu1mb3b4/TFxOXXnqp/O53v1Nn1aRJkyQQMH9rLTC6O++TASLIAatXr5aFCxfq+0033VT77RBCCCGke81VPSWXtP0RTAQI0GKUPVWN1Rc4b4LObMLhsJxyyinyt7/9LXNAtKUdffTRcuONNw64Gh5CCCGEFJ58KKS6PXfyGWecIS+99JL861//0l7QWJ544gldd+aZZ/Z6AQkhhJBiBDUxqRyWfNbkrFu3To444ghtIkIf3OOOO06CwWCHaaZMmaI1LtkLBi51ld12263DpU+CHGjP77rrLpk2bZqePBZUMd1xxx3y6KOP9qgQhBBCyOB0Vxk5LPkr2xFHHCEff/yxPPfcc/Lvf/9bh3efcMIJnaY7/vjjZfny5Znlqquu6tZxX375ZXVZ7bzzzrJs2TJdh5ajV155pW+CHDRXDRs2rM1pmbGNEEIIIV3veJzLkg8+/fRTeeaZZ+TOO++UnXbaSX70ox9pd5QHH3xQvvvuuw7TossKppmxlu50FkYlyj777CM+n0/ee+89icViur6hoUEuv/zyvglyJk+erJ2Po1FztAiIRCJy0UUX6TZCCCGE9B2NjY0tFis46Cmvv/66NlFtv/32mXV77rmn2sHffPPNDtPef//9MmTIEB0Ofu6553ar8gOjq2699VZtGXJhpHMzu+yyiwY9PaHbHY+vu+462XfffWXkyJEyceJEXffBBx+o2+rZZ5/tUSEIIYSQwUZvja4aNWpUi/WoiMD8dj1lxYoVG0gznU6nVFVV6bb2+OUvfyljxoyR4cOHy4cffihnn322jsL+5z//2aXjYt9dd921TUl4T2dC7naQs9VWW8kXX3yh0dpnn32m6w4//HBtv0MVU2+DNjlcqP/85z8aEU6YMEEnI8yOMAkhhJCBhtWBOJf0YOnSpS2ahTweT5v7n3POOXLllVd22lTVU7L77CBWqKurk6lTp8pXX30l48eP7zQ9mrcw6fBGG23UYj3644wbNy7/QU4ikdAJAdEJCZ2L8g2md0Y11e67765BDubiQYBVWVmZ92MTQgghAwFrEFBnnHnmmXLMMcd0uA+CCQQbrUXcyWRSR1xhW1dBfx6AwKUrQQ7iitNOO03uvvtuHZmF/j9oOsMEgeedd57kPchBG1l2X5x8g4gT1XCoubHozemeCSGEkEKBfsO5jJDqbr/joUOHdmniXvSvRfPQu+++qzMPg+eff15nebcCl64wf/58fUWNTldATROOgdoftNyg6Qq1UghyTj31VOmTjscnn3yyBh+I6vIN5uJBsxQ0Emgf3HbbbbVDUkegw1XrTliEEEJIf8NSh+Sy5IPNN99c+96iZuWtt96SV199VScBhsMS/W2sriRo2cF2gCYp6BgQGH3zzTf6+41JghGobL311l06Lmpv/vjHP2qN0YIFC+SNN95QuwLy7SndDnLefvtt7UQ0evRoHep10EEHtVh6E4i6brnlFtl44421U/NJJ50kv/3tb+Xee+9tN83s2bO1k5K1tO6QRQghhJCOQb9bBDGoVcFceBhGfvvtt7fovoKOwtboKbfbLf/73//UJI50aBo7+OCD5cknn5Su8qtf/Uqampo0rx/84Aey4447SklJiYRCId3WJx2PMawMBe8LUG2FmhxrfDxqchDdYYjZjBkz2kyDIWuzZs3KfEZNDgMdQggh/Q0jx9FVSJ8vqqqq5IEHHmh3OzoHZx8fv7MwH+QCKjCuuOIKKS0tbbEe09Tcd9992lcn70FOdv+YfIN2PERzravRMGFQe6D9rq2e5bZEWAxXZbONHCbltIjbNJzCvGzYHaaV2d5qTH+zpRlmcRv2ScTF5oQt3CeG3anWcnvaqzZoScbFKKkWiTaJPVCm++qxYIuGfdztFSMZNl/jpp1cjebB5qFxMJx7zLyQFkZrmL3T8aiaxWG3dpX61VwNY3UqauafTqXUdu3ylUk61Kjrk5GYRFbXm6brcFQt497qMk2LPGHYjtZHpHS0XS3eMIDDbO4uM63jkdXrpXKzjcQ/tFIN2rCCuwJePQ62x9Jp8Vb4JaX2cI+uxz4wbOO4ILxirfiGVmp5LEM3gGE7UGfawmEId5f5TCu6lhsmdEMDXJjFh2xeK6EV9WJrtifDFB5aFRIZIuKvKVHjM/YFek5rG2TlR6ulfGSpxGCp3rhKyxv8NiS+Sq9EG2MycrdRElrVpNtjTXEte3B5o+aXiMckut40kONawSbe9O16KRtdItG1TeKCRd3t0OOqzd3vFW91qfhqKiS4bI0ea/3X9VI6ulFijRHNW88/GhPDbxrmYSDX5yJlWswjWeZyDyzv6ZSa0d1up977VCQsrprharC3l1RkDOQwxutz5XKrXRzbsQis5A1r9ZlVK3kqLmJ3ihGPiLg8kM2pdVwSEX2+8dwbbtM5B1u5w+ZQ23fAZZdQwjRGx7ECzcE4f5tNjeIVXqe4Haa52eNwqBm6xO2UWCqlNvJgPJUxQsNKDru4y2GTEo9TVgVjappeE4qrodrrNI3bsFfDbI19sX1lUyxj/y73udRKDiO5/q077WrVDsWTms7XbA/Hus1qS+WzFU36HvmrwRxV+w4Rt9Oh6bHNtIyb3xewa8M2Howl1cCN7TVlXvN84ymJJ1NS4XdJOJrUsnp9Lkkm0lq2VCotXo9ZLofTLulUWvNd4XFKWalHmkJxtYZjP5vdNLCb30OGxNVGbprFYUCHSR15xCPmcTw473BCkrCl428znpJAmUdikYQax7EPzj3ltEtjQ0y/suwOm1m+5uM0hOOZawuLO87RvCZpGVLm0VE6TTHT4K5Gd5vNNL8vN68n8sf1DjfngQXrrVenHWZv87sSP9q45uUel6QqDNNS3pweeevXqd0mpbC+q5keo4TM5wiWcr/LIQ3RpL4GfHY1kQM8W26HLWOpjycN8cG0LoY+e2m8GjbdB+8xUZ7PaRM8udakediWhM29Wf6oTT7IK2Wu8zhs4swSQ+YbnHfzn1aP0xcDjY2NGjBhQU0OpqSxgCPz6aef3mBIe68HOfghufrqq7WdLR6PaxUWxuLnY9i4BUZWWaZzi88//1zH4RNCCCFk4FNRUZFxXW2yySYbbMd6TDic1yDnsssu08mFMOshApvrr79eh5j1pPqoOzJQ+CvQXHXooYdqBye0CWa3CxJCCCGDeTLAYrCPG4Yhe+yxh7bUoKnMAv1zrAkG8xrkoD3sr3/9q5x44on6GR2Mpk+frm4LTPWcD3bYYQd57LHHtJ/NxRdfrMPHMeMyJh4khBBCBjK5jpDK1+iqvsYyjC9atEj79vRmTNHlIGfJkiXaw9oCNTrWZD1QPOSLn/70p7oQQgghxQRrclpidUXBiC3EHOgak01Xh6L3KMjBvDjZnYGsyQExjIwQQgghJBcwJ86xxx6rhoO2QCfkvAU5aC/DdNDZI5cw+/HMmTMlEDBHKYGuirgIIYSQwQxHV7Xk9NNP15mWYTqfMmWKdldZuXKl2smvueYa6QldDnLampfmyCOP7NFBCSGEkMEOm6taAnXEE088ofPjoV8Omq/22msv9XJhol/0A85bkNOX8+MQQgghZHARCoUy8+FAxI3mKwwph9H8vffe61Ge+RkWRQghhJAOwWSOuS7FxKabbpqZG2/ixIly2223qSMLloOuSj5znvGYEEIIIbmDGCWXWYuLLMaR0047TZYvX67vMdkwJKFwaGGunDlz5vQoTwY5hBBCCCkYmB8H8+Bl9/OdNGmSLF68WD777DMVgg8ZMqRHeTPIIYQQQgoAOx6bjB8/XjsZ77777jrrMUZWYf49v98v2223neTC4OmT43B/L9vMFrAZaRUZqkwz0qivRqRJxBMwZYephIo5sY/4ylSIqMmQF8SHyC5QJjZID70BU37o8qh8E9hLK1S4aPeXmhJPFKW6Vuzl1WY+zfMMqazTD8FmkwoX09HvRaGQNyItRJym7DGuQs3S0cPE7nKKp9I0tkLmCLGmHWLHRFKFmrH6JknHkyrItOScSIM8IMfEunhTSKWRiVA0I+eMN0Yk3tCkgklPRUlGgmnm6xN3qSl0xP7peELiTWHNFz3iISCEGDS6PqRS0EQoooLK8JqIHh/Hjq0PmsdPpXU/nE8yGhNvpVdS8ZTm4/Ka54HPFRuVZ6SagZqApoVk1RnwqfDTHXBJw1fL9BiJUFzTeMo8uh9IhBL6GfLP+s+Xijvg1n1dHoeKRRu+bVJhaSqRlvDasOaNY9ldLknF03p/HV6XHg9ywUQ0qee56v1FKhvF+cTWm+XT8rucekzrXuEeWPcF54nris/YBpGpw+2UeGNYJal4jvAZedrdXhWoqnAz2SxkjYYl1bDWfEbsdknWrxO713xeVQaLZwkS2EjITAMJp82uz6VA5pqIaTpdb3eaz3gsKLZ0UuI2p7jspiwxmjRUzonqdIfdXLAO24aVuFVqiD8lyBEbYgkVKWKfRMowhYuptIo6Lbmi3oeUoXJPSDqjqbTKJSHixJc9ZI9DSjwqYEyk0+Jy2GV0pV9lj5BAQt4IkWc2lugSAshsYeTacFxlnRBKNoS/n8sLAkxIKFWqCbmlCi+TKorEKz4DiCQh5yz1ODVNfVNM84WE0gMrafMxIdfUe5JMSzyaVJkmxJkQytaHzfu1w9gqFXECj88pwfqojBkSEFfztYGI0wKSUAs8m/p9AXFniVvzRD4oO3C6HLoNQLYZjiTE4bQ1C0INGVnlV7HnRjUlmi/KDzknBKXIo2FtWEq8Ln0fjCb0WmJ7hd+9gYQT1wFoeoe5DbJSXFtcZ0uaqtfYZZbbjwdJRLdVB9zafwTPgd7fFJ6vtEo7cZ+xL0SueBYgccV766sa+5Z6HBJw21Ukim14zqxXS7wJwwHEnFiXTIlEkmnB44Hn1VqP24tbgedNRZ24ps3pcSyswzH6Chwr16VYRlXNmDFDvv76azn++OM14Nl4443VsPDggw/qMPKewpocQgghhBQM1Nxgsebfe+211+TFF1/U5d5779VJhzfbbDP5+OOPu503gxxCCCGkAOQ6QqrYRlcBmBXQZPWjH/1Im68w+zFGWaFvTk9gkEMIIYQUADSm5zK6qvuSg/4LPFVvvPGGGslRg4NZjyHr3HXXXeWmm27KSDy7C4McQgghpACw47EJam4Q1GCEFYIZ9MV54IEHejw3TjYMcgghhBBSMF5++WUNaKyRVQh0qqvNwTm5MnhGVxFCCCH9CI6uMoGU8/bbb9ch41deeaUMHz5cVQ6nnHKKPProo6p36CmsySGEEEIKADoOYyqDXNIXA4FAQGc3xgKamprklVde0f45V111lRxxxBE6pHzBggXdzps1OYQQQgjpV0FPVVWVLhB1Op1O+fTTT3uUF2tyCCGEkAKQyrEmJ5e0/QlMNvvOO+/oqCrU3rz66qtqJB8xYoQOI7/55pv1tScwyCGEEEIKAIMck4qKCg1qamtrNZi59tprtQMydA+5wiCHEEIIIQXj6quv1uBmk0026fW8GeQQQgghBQAurdyaq6QoOPHEE/OW96DpeGw4XKaMsxnIFdXIBvGlt1TsJaZI0+bxiTjdYoN8E+LOZEJsHq+ZJp00P7t9ut2WSqoIUXG6RexOU34I8WGz0NJw+cSAFBF5pNMq6lSZp92hx9L3zeJOFXkGSvUVQkfIHAEkjxAvQoIJIHWEANJdXaXbIHHE+YSXr1VhJhZst84TIkin161yTAggIe1U8WaZR6JrG1TM6aksaZZHxsVfWy2pRErFmlqseFJKRgyR6NpGcfq9ur5pyUqVa0JY2bhkrQo4IQSFmBOvKJdVduTf9G29WR6H3ZRSqkjUIZ4yn0oHUWZcC0gtnT6nltlfU6JpkpGklG80TKWa/iE+8ZS5zbKvj2j5Id2EoBOvKPeQTZvlpylDXAGPeXu8TklGk1I5rkKvQ2R9VALDAioyRHkAhKB2h03iwYSeA44bWVWv5cF1c5cFpP7LleIf4lfxZyqa0HxS8aQkwlG95zgmtkOqaZY9Lv6aSqncfIyug0QU54nzxbXB9YipyLQ8c3/ToUZTdup2SjIYFE9VuSSCITFiUUnXr8o8cypHDTXpvulwkz435rNmPsMq7IyZ5ZBYSJ9/o/lZ0+fUSIs90qDPuS0Zg2VSPImQCgzddpuKOrN9tg6bTUWGlV6Hvof0EJJOODPLPS6JQSDb/Cc2xO9SGSOGyELACCmnwyYqX4TAUaWLbqdUlbhV1Akga4R0EXJO7AMhJ/Yv8zhV6Fnqdkg0mZJyn0uqvC4Vd0KSuS4Yl6EBjwomq0vcMrLKJ9+ui2SElNgHkkhIKPU87DaVdELCiXyzP+MV++OHpyEcV2EjPttsNqkKePQ9xJdJFXqmxON16XEh28Q+kWBcnymPxxRdQqK5eG1Y4rGUCjaxj9vjlHXBmJYpUOYRe7OM0uGwy9rm9fibqKkrlRpsxzUr82jeeK3wuaRpXUTqqsy/HZQV51Bd7pXKcq8ew+ky5ZqpZFpGVvoklU5ruSHn1PeVPi0H7uOqxlhGDDq8wqfyTZwT7ikEntZ1U3ll1g8y7h32g6gTaXBt8Ir7Zr1W+dxmeWNJ8Tgdeo8xAR6EnMF4SgWudpv5bEHYiW14LnD/8cxA/op8sOBZw354HrGv9Uxa65AW7y0hp/XcWg5LW5bIE6uQn0o6bTYpcdl1W18LL63mqlwW0jGDJsghhBBCyOCCzVWEEEJIAWDH4/zDIIcQQggpAJwMMP8wyCGEEEIKpXXIpeNxH/chGoiwTw4hhBBCihLW5BBCCCEFgH1y8g+DHEIIIaQAMMjJP2yuIoQQQkhRwiCHEEIIKQCYjDDXJV9cdtllsvPOO4vf71e3VFcwDEPOP/98qaurE5/PJ3vuuad88cUXUkgY5BBCCCEFoD/PeByPx+WQQw6Rk046qctprrrqKrnhhhvk1ltvlTfffFMCgYDss88+Eo02z7xeANgnhxBCCCEtuOiii/R1zpw50tVanOuuu07+9Kc/yQEHHKDr7rvvPhk2bJg8/vjj8otf/EIKAWtyCCGEkAJOBtjTBelBY2NjiyUWi/X5uSxatEhWrFihTVQW5eXlstNOO8nrr78uhWJwBTkQZ7o8KiNUeaHDKQakmqmkGBAWQlQIgWE69X0SfIaoM9SYWWfYzMtmS0R0myRNGSXyguQQMlAjFjHlm4mI2FxukUClmS/2R1qvXxdNF49qefT4bq8YiYRKI10BX7NAM6LyR0gj8QpZJNanQkGJQrbpcmWEmEjj8Pn1MwSaILa+SWWOeqwU0odV0gnppkoe40mVTKo80+VUkSQklRBrYp2ZR1CCy9ZkxKOJUCzzHvJLd2lAUomkuMv8WgaIOvV46bQ43E5xqUAzLS4/BJ4+iawJq2ATQlB3qSn0xHmt/Gh1s0wzrmlRLj1eOKLnA2lmKpGWeCiuks7wmog4vC4tJ7ZDslm/uEFcJW6xu8112AaBZyqeUpklyhFeE1bJJvLAfUI67OtwOaQhmpSqzTbS40L4qa/RhF4zHK98/HCpmDBMgqtCKuSErBTXGNdO5aIOm8o1vZVefU2nTOFqeNV683onEt9LYptxNbd5+4YN1eehZOMJmh+uQTIc0X1tgTIVcBrhRkmGv6/+dVTWqGjW5g2IEQ2Z+zoczcJZrxgxU/ypAtlUUp9RSGkhmbWEnYbDLYY7oM+2r1lWCMEjJIcQGMaShv5PDeshQATxZPMXbNS8RpAm4nGp9LlUshiEZNYQSeC62iDgNMWekC9C1Ajp4hC/OzOpGQSPkHECa5+agFu+WRuWSCKln1EmPRW7TeWQ+IwF2yzZJuSQdRXezDZ8rva7VTYZhli1ufx43XhYiTjsdt0HeTREElIKGajXqfvjuPXhhMowIf7ENkg8IcZEeZ1uuwoq8ZVQVu7RHx3IMSEKhdgS1wzSTa/fvM6JWErcPqfKQHH8QAAST3vz4hC/26Hiz1QqrWXSc8C1spvSTX/ALUPLPCqjRPnM+5DSfTevK5NxQ0vEp6JZu0Sa/3Yg0sS+uF7Yz0pXXuHV80s2lwXlDcWTenyUA6LUcUMDKu9EOgDRJq4NJKLWtR1a6tE0uC74vC4S120oI/A2f4dA2goBqyletetzYklZ8eygLChHE4S36bSUe50SSaYl4Ma9samwE88jnhXkgffok4JHAs9nmceh8s1kyjymq/lZwfOK9ygNyqR5pE1Zp615HWSdWPra6q2TAea4gFGjRmlAYS2zZ8/u2xMR0QAHoOYmG3y2thWCwRXkEEIIIUXG0qVLpaGhIbOce+65be53zjnnqKW+o+Wzzz6TYoJ9cgghhJABPE9OWVmZLp1x5plnyjHHHNPhPuPGjetRWWpra/V15cqVOrrKAp+32WYbKRQMcgghhJBBMBng0KFDdckHY8eO1UBn7ty5maAG/YMwyqo7I7R6GzZXEUIIIQWgPw8hX7JkicyfP19fU6mUvscSDAYz+2y22Wby2GOP6Xs0dZ1++uly6aWXyr/+9S/56KOP5Oijj5bhw4fLgQceKIWCNTmEEEIIaQEm9bv33nszn7fddlt9feGFF2TKlCn6fuHChdoHyOKss86SUCgkJ5xwgtTX18uPfvQjeeaZZ8TrNQeiFAIGOYQQQkgBSBkY2ZbOKX2+mDNnTqdz5GD0YDaozbn44ot16S8wyCGEEEIKOE9OLulJEfXJueKKKzLtfoQQQgghRVGT8/bbb8ttt90mW2+9daGLQgghhOQManHsfTi6ajAyIGpy0Jv7iCOOkDvuuEMqKysLXRxCCCEkZ5LpXE3kvAlFEeScfPLJMn369BZOjPaAs6O1x4MQQgghg49+31z14IMPynvvvafNVV0Bzg7LnkoIIYT0V9hcNchrcuDjOO200+T+++/v8jh7ODuyHR7IAxhuvykhbF4gwlSrHra5vKYsEQJNm11sHr+5LUvUqZJOCA4h1YTU0Eobj34v8ow2mVJEiDutNMmE2LwlYrh9KliETFOcbjGiYV1QDpu/zJRzQqzodGeOC5mj0+eRdMIU7fmHDRFXSUBi9UFdZ8k1NS0klGUBXZdobDSFlRBvRuMSXl2vYkr9nEhKeMVacfl9ppDT61bxJMSa7lK/RNY26Gfkg7SQdOIz3nsqAxmpZCJkSiaxH2SAyDe4ZKUpAG0KSaLRlEIGl60Wh9cjroBHHG6HxJvCKhy1wdiI64YyuJ2aBhLM0roSXZ+KxmTpq0slsjak+6z/YrUko0kJrzWvLcSYOCd3iUuvBYSd2A4ppiXkhMwTeUPEiVEIWO+rLldpJgSLdjdEi2lpWLRKAsP8mbyDSfMcwNov1qvEE+eejCSkaXlQzwGyVIDjQVaKa+CtLlcJKCSd1jXFdcN9se4PXnENfTUV4vRBIgqJp0Mlm+l4QoWa9tJKsZdUaH64nkijktaIWSZIOnEvsV6fv3RK0g1rzefHG5DU+tWmILZZLiul1fo5A57xVDxL2pnA2E8V16q0s7mZ35xszJQI4nZFU4YKEyHZrAk4M5JOyBJVqOhxSSJlSjxdupjixZqAR0Wc2AefIUuEgBP74L7gPZbs/gXlkG3aIE8UWRuKq/yxvFksiX1L3E4VZELEWFvulfWRhMoey33mPgDCR+wTjCa1jJBGQi6JV2wLxpKaD4bw4jPW14fjUh9JqGgS5WkIx/V1ZKVfX5FfDQSZaUOqSzxSUeqRMdUBGT40IGOGBGTIEL+MGBqQpmhS86uq8sl2YyrF7XbIqKEB8ficKtxEXpbgsqLcqwJOl8eh6VQW2nyukGk68PeVNGWekGmiDOnmdoqKErfm09gUy5QN4BhIa7PbZF0wrvesrtwrFT6Xvq8KuFUsCnnoJsPLMjJQvJoST6feAz1nl0NGVfn1etWUemRVU0zGV/qlyusy93WbzwKkpFY+Zc3lxz134tl3mPshP4g31aDd/KDhfkKiCTkr3uM5wv2CuNNpt5nPYFp0O54JlB/CTjxH2I7P+ljjf+0O5Id7baZBvngeLfEmjqh54Osdz3WzuBMDWuDzRFZ9+aPYnycDLBb6dU3Ou+++K6tWrZLtttsusw4zL86bN09uuukmbZpywLachcfj0YUQQgghg5t+HeRMnTpVp4bO5thjj9WppM8+++wNAhxCCCFkoMDmqkEe5JSWlsqWW27ZYl0gEJDq6uoN1hNCCCEDCU4GOMiDHEIIIaSYa3JsnCcnrwy4IOfFF18sdBEIIYQQMgAYcEEOIYQQUgxAcImRnrmkJx3DIIcQQggpUJ+cXCSbFHQO8HlyCCGEEEJ6CmtyCCGEkEI1V+XQ5MTmqs5hkEMIIYQUAPTHyalPDmc87hQ2VxFCCCGkKGFNDiGEEFIA2PE4/zDIIYQQQgqAkTaXXNKTjhk0zVW2ZFRsRlpsadPobbh8po05nTTN5C6fWpuNREwMp+d7y3i6+SmCfdvpErsvIDbsY3eaNnOkiUXFcHrVBq1WaJtd7AHTLK7bXB6xx0yDtIWjcqgueoxwo9j9pWosV4t5oExN1J4hVWodhyncsn+nYjE1absCPnGWlYm3ukxN5o5AiTgDXkmnUuIqK5N4o2nKhvna6XWrERsma9iyQ6ua1MSdjMbV4O2pKFXbuHW+sFvDpA2DONLCpG1ZuZPhqG6HORv5w4gNQzf2Q54gtj5o7gPVbzN4D5t3vDGkx4w1xvUzzisFO7patW1SMrxEDeewbAdqYP5uNrAP8et7LHaHTRLRpJSNrVPLMsoxZNOh4vQ6JdYYE1+lV9fhHNylAS0rjuXyOiURjqjZ2+Fy6L5Is+6L9eKt9Im/2qfn4oalem2juErceuySEUPF7nJpuWA31+uUSksJyhdN6np/bbVpHY+nJbI+KrH15vXCeeB8sd3hcuorrjHun1rDXS4tB54X3AcjEdf16WC9uIfVZazwdodDUpGwpKNh01Ludord2VyWeFQXm8enz6e9vFpN99gP+QnuqccngmcfzxH+DvQ595p/B+mkGsh1u82u1nGQSIu41OYM+7jR4ssi1mzBDidS4naaxmhQ7Ycp2qbr1S6dSuv7Kr9LP8MADcM0DNAwk8NWbVnFq0rcuh7Hw2es9zjssvXIcqkt8ah1GmmqYTRPpaXS7xaP0zSYw3aNNNgHwIYNezbM3FiwHQbucr9LxgzxS3XArUZtvb9eV/O+TvG7HWrMrg8n1FAdjqcy5nIssHNjgTkcnyv8bjV0J9V2bRq8a8t9MnFUheYLQ7nu7zfv1fAqn77CGo60WNR4njSkrsqnZnOUAc81zOelHqeU+l1SWWkez+91yrJ1EbHD/u1xSl25T+LN9wLgmkSiST1nnCOs5/q9YRh6LigLbOG4TrjOKB/OHfcM+TeEE6ap3A7Tt0OvF+zupW6HHm9MtV/PU63hXpdE4rjPdi0D8htR5tXjwTCfau5qEownNY8Y/u7sNrWbB+OpjGncZTfzx/ZSj2mnx/OF7Sg3zOJ4RZlxqvFUWgLNzxse1UgS+VqGcXMfvMI+jjR6rsin+dlAGTQtymm3qb0ceeJZ02vVrV8W0t9hTQ4hhBBSADi6Kv8wyCGEEEIKAPvk5B8GOYQQQkgB4BDy/DNo+uQQQgghZHDBmhxCCCGkEOQ4GSDSk45hkEMIIYQUAIwmtOWgdUB60jFsriKEEEJIUcKaHEIIIaRQQ8hzcVexJqdTGOQQQgghBYCjq/IPm6sIIYQQUpSwJocQQggpALAG2XJorrKsQ6R9GOQQQgghBYBah/wzaJqrINS0BISmoDAitlRct0HSqaJOT4nYXB61vhkOl9g8fv2srxAcplKSjjSLNpFPLCTppnqxebwiNpvYvCWSDjWZkk+IOrEbtql4M6niRQg7xRMQgQS0GXtZtTjKq8XmDUg63CRGLKKLld5fN8wUgwbKVPYI+SUEkVgH0aMR/V4GqUJRiELTaZU4ukr9KquEjBNAhKnHdDlVqtmweL1+Di1bLTaHQ9cBh9shqXhKpZMAAs9kJC6Ni5brMYHL79PyYH10bYPuE13bqOVDOofXJQ6vR/O0pJ6JUEyi60PirfTqeqQ3j+cUT0WJnhfEmigXyhBeGxF3iSmxxHosLogHyzxStlGdlI2uUQkn8q3afLQKPFFuSEgh6oSQs/HbRvFXB1QAivwbFq2QdCotVROGaDmwAOSFc4FEMhmKqIwTeURWrZdUNCbBlSHxDfGpZBTXL3P/IHUs86tgE+VLBBPmutKApNNp85zqxqrkFNcB103zcDvFSCQkUFOqoleIUFOhoMo1Jdl8v5rvG/bVa+h0qZAVeULWqpJPtymHhXzTHigV8ZZ+L+qEnDOVMJ8n/Rsw/+uH59uw2XXR9dAZ4xXPXLPE0N0sWbREiXgP8SHkiZAdwmcIOWY0YYoXIeJsjKV033KPS5piSRUwVvic8m1DVGoCbnHh/JFv2lAhoqs5Ha451pXjmbHbVOrYEDOfjXGVfhld7tPPODaEkGMrfZoGy9pwXMWdGE4bSqTE2yxahOgSAsmqgFunz1fBpscpZR6n/KC2VIWgJW5HRnAJYadKMb1OGVcTUBEl3gNf837BaFLzqavw6fa6cq9eA4gtkQbCTUtWiVeIOfVaQqjpdcnGw0rF73PJhBHlsvGwEl1qyrwq0oQgFPuhDCUV3ozUE3lin4x41O2QskqfHgPXGtekstyr57qyMSp2u03Fm4vXhqS63KuSTZRlu9EVmnZomUflm0NLvZqHda0cdrtsVlMi9ZGEDCnxSCyZ0jyxP649JJuQoOJ81oTjKknFexy/KZpU+afTYdfrj3uv30nNslVrXfb9rivx6LMFeWo0mVZxpz5/NlPwifuJ/dG3FgvWx1NYZxenw3z+Stx2fSaxTZ9bvDYvcHimxdA0qeYaD+yLz7as97FmkygCDn0O2Zm3qGBNDiGEEFIA8H8LLLmkJx0zaGpyCCGEkP4o6MxlyReXXXaZ7LzzzuL3+6WioqJLaY455hixac3a98u+++4rhYQ1OYQQQkgB6M9DyOPxuBxyyCEyefJkueuuu7qcDkHNPffck/ns8XzfNaMQMMghhBBCSAsuuugifZ0zZ450BwQ1tbW10l9gcxUhhBBSwJqcXBbQ2NjYYonFYgW7ny+++KLU1NTIpptuKieddJKsXbtWCgmDHEIIIaQAYARZrgsYNWqUlJeXZ5bZs2cX5H7uu+++ct9998ncuXPlyiuvlJdeekmmTZsmqVRKCgWbqwghhJABzNKlS6WsrKzTfjDnnHOOBh8d8emnn8pmm23Wo3L84he/yLzfaqutZOutt5bx48dr7c7UqVOlEDDIIYQQQgZwx2MEONlBTnuceeaZOgKqI8aNG9fj8rSV15AhQ+TLL79kkEMIIYQMJvraQj506FBd+opvv/1W++TU1dVJoWCfHEIIIYS0YMmSJTJ//nx9RZ8avMcSDAYz+6BZ67HHHtP3WP/73/9e3njjDfnmm2+0X84BBxwgEyZMkH322UcKBZurCCGEkAJg5DihXz7nyTn//PPl3nvvzXzedttt9fWFF16QKVOm6PuFCxdKQ0ODvnc4HPLhhx9qmvr6ehk+fLjsvffecskllxR0rhwGOYQQQkgB6M+Czjlz5nQ6R0728X0+nzz77LPS3xg8zVXNEkKVEkKQCTFhlrgTr7ZY0JSBwO4GmabTI4bDbQo93T5TwulyiwFpZzyk6yDQVEFipFHXQ5Co+yLvCPbxSnrNt2IkE7qI06X7STKm2yBRtDXLNy0pI46hRS6tUIGjvqZSmp/T7xVnwCuuMr9KQJ0lJSr2hHgRssvY+qCI3WHKQFNpiaxeLw6IMONJlWdiXdnoISp+hGQyHoprfpBJQpAJ4o1hKR09VJw+l4osU4mk+GoqVfoZazTFoel4SoWREH5ivSX+RP7J5rztDruKLgHyR5kSoYRKN11ep3iryzVfd1lAfEMrVfxZOrJS4sGESjOrNx2qws2SEdXiG+KXeMhc7y71qzxzyX/f0rJDXmkdO7gqrNuAt9InjYvXicPlEGfAp+LOyNqglsE8z4hUjquUmq1qtWzIJ94UlRHDS3Ub9sfxgssbNZ2n3CMVY8olWh/RfSPro1I1oVpCK03x5rpPv5FEMC7+IT4pHTVMSkYMFZffK+7qKpWo4rpASop7t+6zxab0NBjUa5NqWKv3CeeA5wD3FM+LmcYjiVDE3AZBp8s8P5W0QsIJoScWrIMA1mZTkawplzXFjhDMpn3l5j54/u327+W08fD3fws2u0oT7cmY2G2iks6EyjRNSafPaZd42pCmeFpFiZAtQtxoF5tKFRMpQ/fHnxDElXgPESLel7qdUulzScDt0ONBzAgRJ7ZD3Akg7azyulQGCvFjudepeQDINCH5xMeGaFLzghASkkiIHFHugMuhgkoIMyGMrC31SrXfrflBIllb4tGyqGxUJaM2U7IJoapKNJ0q7vQ6HVJdYl5TSCwhtoToE3mYos6EbFxryixx/iOr/FLqccpem9doGhVWepxSW+HVsridDt2OtLF4So9biXKlDdmsrlSGVXh1/zHVfj3+ZnVlmscmw0q0fJYUFKLOoaUe/d9/TZn5v2PIOFEG7IP8Sv0uFYtC+AnZJ84L8lHsUx0wBaK49luMKJMxQ/wSSaRkRJVPzy/YXLaNq00xLwSdKJdew7Qh6yMJGVnlU5km7tnICvO7DlT4XCq4LPO69D5U+Vx670aWefReAaSx7iduOe495JzYV58XlWka+r7KZ/5dQ8hqgXKrODYt4rY3P5tOmz6XyFXvKb6+RQTeVeQPfC7zFUJO/C7j/mMTnmk820gH6SeeI3NPUiywJocQQggpAP1Z61AsMMghhBBCCoD2x8khUMmnoLNYYJBDCCGEFAAjndIll/SkYwZPnxxCCCGEDCpYk0MIIYQUANbk5B8GOYQQQkgBwMjU3Jqr0r1anmKEzVWEEEIIKUr6dZADXfwOO+wgpaWlUlNTIwceeKDOsEgIIYQMdHT+sxwXMoCDnJdeeklOPvlkdWE899xzkkgkdJroUChU6KIRQgghOWEY5uiqHi8Gg5wB3SfnmWeeafEZU0yjRufdd9+VXXfdtWDlIoQQQkj/p18HOa2xRGBVVVXt7hOLxXSxaGxs7JOyEUIIId2Bo6sGeXNVNul0Wk4//XTZZZddZMstt+ywH095eXlmGTVqVJ+WkxBCCOkKOTVV5TiR4GBhwAQ56JuzYMECefDBBzvc79xzz9UaH2tZunSpuQGSTSMt9miTCjlV1un0qpDQBjGmijN9Kr20pRIiEGo6nCrThKQTYk9IDW0QJCZikm6qN8Wesaimg+DRFguZskzgKzMliOmU2JxuTYd1NodD04vDJYbblFba/aW63Tl8rJnG7hB7oEzXqfATaTFUEHnZHSpmdEDMCBEn5J7egEobIXj0VpfpflqEmkoVcWrZHObiLvPrPnifCEfFW+YxRY9upwo+LdGmw+VUEWZ4xVqVcUIsCSDdjKxtEJvDpnlY+7pU8unXYNRfU6F5lYweJmUb1YmvpkL8dVXiqy6XRDQp/mqfeCoDWpaK8SM0H4hEUS5vVbmUjSwXT5lP/LXVKsiE5BNlNFKGyhch9CwdPUw/O9xO8Q2tkFhjTM/VV+kVVwmEpCktE8Se2Ib38LwEV4Y0T8g2w2vC4h9aaZ4/rkcoKuE1ERm6xRAtr7cyIHaHTcrGVKmsE+XGNbWuA9Lhc9nIUpWfeipK9dhDJ47RoZ2eIVXN9yMt6Ya1eg2xf/mEMZIIxSWyar1ed9y35MolGdFo9NulKmXFfYfgE9sBzs8CYlKst+Pe4/42PzfpeFSfIbsvIEYiplLXtAfPh8d8Xt1+U1Jrd4o9Ef5eVItnMRXXfZyhNZlnSM8VwkObTSIJQyKwHkLsaTOXUo9DJYh4X+Zx6n4QIEJ0OLzMI0P8Lk1f0nxuEC9i/yF+t4QTaV0P6SbSbV1bppJPiCTXhuMqhYSwEXlhPdJC9Ij8zHLZxOu0y7ASjymLLPOoTBL7QagJ6eLocq+KPnEMfDaP2/z3AZmnzaZCTEvWiWVEmVfWBGOaxxYjyiUcT6l0EuWBnBLpNh5WKqPLzfdpw5CRlT49r7oSj4ozIfzEgn0gxLQkn8h/8xHlMm5oQErdDlOo6XFKeXPeEGJCqDmuJmCKRx12TQeQBsdA+bYeUynlfpceH8dDeuyPc0GeeN14WIlKRHHOEHDiXJtiSRVpeh12vc7bDi/XzxBqorwQmOIzwLXGMfAKgeboIX4VZNaUmGJQSDpxz/EZeeE4G1X49bxQbtynjSrM4+I+Y3t58/3BfWqKpVSQCdEr8sV++Ox22LU8kGmqeNPA82OXWNIQX7OsM5k2BE8iPmE7PuPaII0lX4W4E2XAs4n12Bf5O1UMaqZ12s1nCO+RngOyi48B0Vx1yimnyL///W+ZN2+ejBw5ssN9PR6PLoQQQkh/hs1VgzzIMQxDTj31VHnsscfkxRdflLFjxxa6SIQQQkivwMkAB3mQgyaqBx54QJ544gmdK2fFihW6Hn1tfD5foYtHCCGE9Jg0moVz6Fej6cnA7ZNzyy23aL+aKVOmSF1dXWZ56KGHCl00QgghhPRz+n1zFSGEEFKMsE/OIA9yCCGEkGKFQc4gb64ihBBCCOkprMkhhBBCCgEkm/YcOg9T0NkpDHIIIYSQAqCCzRxGSFHQ2TlsriKEEEJIUcKaHEIIIaRAkwHmVJOD9KRDGOQQQgghBUAFmzkFOZwMsDMGT5ADEWE6LbZ0UtKucjGSCREICR1uFRpCwmmPNIoBAabDpdY3GySdEHIaaRV6Sgz7Q5aZNNNDmOnxavaGp8Q8DtZhX7QFllSoCNHmS4vgFWJQb8CUfUIMinwgVKwZK0aDOZtzJg+n34zSnW59dVQOlfh3i8Xh8+uix4yEVOSYrl8lqVCTODweia5drvtDSOkorZB442JJRuIqw7SEmhA9VmwyShKNYYmqbNNc7/S5VX6JtBBrQrK54q1PpHLz0ZoG65P2uMox1y74RkpGDFVJZSIUEafXo1JLSCrjjSGxQ0TqsEusvkm3uUr9KpF0LPhW5ZZ4DyGmuzSg4kpIOL3V5XpMvCId3tdsVSu+oZUSXdcgo/cYJV88/r4eE3lD/JmGJHNolVRuWieNS1ZJ1YRqFV3G1of0vFEeX2VY7C6nVIyvk3hwiUoyVVAaikv5hBHS8OUySYQj5nmPLNVrVb3FWL02Du+azG3x15RL+UZ1korGpGTUMKnaFPLSpIo8cb1wHQI1pRKorZZofZNEVq7W6wlppt3rF4fXo9e8ZLutpXqLRZo/zgXnlmiqFm9FqSlUddhNAWvzPcE+JRMmSGLNSrG5mkWpeC59AUlBFOt0i7OyRp9JIxk3hbJ4rtIpsZdXq6jTEtGmPW6xQdDp9Iot2ii2ZExSAfNYoqJaM388mx63KTyEuBBCQwgPMXUVJInRZFp8TggVTTknHiHs68a6tNEsWrSpYBPoI5aGZNMULkKKGE7YVG5ZV+qRhmhSRZBrwnHxOB2SSBsqc8SxLKkm9vU4IPhMS1Pc/HLHPiUQX9pssi6SlGAsKRtV+pulnpBEmmWHYBIiS4g+IZTE8axtEG9CollX5pXF68KycXVAj//1mpCMG2KKMqPJlFT5/PL12pBMqA7o+ekz4XaofHJomUfXrYskMqJPyC1xnbBteUNUP48s90kkkdL1OKdNa5q/N5qFmJBzqpjTbpcxQ/ymtDJtqDSz3OeSde64Sk83qyvV41b4XVIVcKvYc0yVX/PcffMaPc76SEL3xS1AfnifTKX1s8pJ7RBnOmR0tV+FmShnudepYk9cc9yLKp9bRpR6ZVlT1BSkek15J65Phc8pwXhSGqIJKfE6M9uQxzf1ESl1O6XcY9NnIpowBZy478gH9wevZR6HNMbMe4n7q3JVPGfN1wQCTcyXhtuN5wnbcH1ASAWvdonGUlLlapbbptISwDXELrgPeDgFglT8KyoPxbOI24dzwCueSUhc9e9KRNOT4mHwBDmEEEJIv2uu6nmTE5urOodBDiGEEFIA2FyVfxjkEEIIIQWAQU7+YeMjIYQQQooS1uQQQgghBSCNQSYcXZVXGOQQQgghBQAjJ8WWyi096RA2VxFCCCGkKGFNDiGEEFIA6K7KP6zJIYQQQgo0uirXJR988803ctxxx8nYsWPF5/PJ+PHj5YILLpB4PN5humg0KieffLJUV1dLSUmJHHzwwbJy5UopJAxyCCGEEJLhs88+k3Q6Lbfddpt8/PHHcu2118qtt94qf/jDH6QjzjjjDHnyySflkUcekZdeekm+++47Oeigg6SQsLmKEEIIKQBaE5NLx+M81eTsu+++uliMGzdOFi5cKLfccov8+c9/bjNNQ0OD3HXXXfLAAw/IHnvsoevuuece2XzzzeWNN96QH/7wh1IIGOQQQgghAzjIaWxsbLHe4/Ho0psgiKmqqmp3+7vvviuJREL23HPPzLrNNttMRo8eLa+//jqDnHwBuRtoDAbFFreLLZWQVBoyzqDKNyHotCWjpqAzFDJdIMlmgxvSO11ij0dMQSfWQfhmGJIKhcXhCjWLEF0idkcLQadhCTjtTpF4WGyuVCYPw5k0ZZ3Nkk3DHRRbMKRpkW8qHBW74WzhJYHQMh6JicMwWxhthl0M7OeIiBGPmWmcKWmKxiUejak4EtubYnGxp9LidjskGU2IUwyJYV04KolITILxhNiicR2K6LSJhGNxcUFQF4mpIBPb7dG4pGJxicUSkoonpDEclWAiIY1IH4tLIpYQJ0SC0ZjEIm7N19Ys6IxH4xKLxFSWiNdgIql5II07FpdUJKbHjMYT4ovEJILy41i6j7k+GY1LFMeOxiWUSuo5qWATx4bQsvk8Q4mEJOJOsUHoF4coUcQVi+sx/c3ngPduK//mc0BalAfHxfm6YgnxRmISi5rnB5DOFkuIQ/dPiF+PaZ43joX9k9iG9Jo2Lm6nQ1wup9jsNrGn7ea9wHUNhfU+4Zw8zfkhjTUcFOdmBEP6LGA/XE93OKKvTndUHN6wJMNRsRkOsTvCmsZhg8jTFHTam4J6DIcnpM+d9bxBPJuOG/o3YDhxX4NiuNOSdpnPopmROyOujbshRjQkmEgLnu5o2hCYEw0IOpvLCkmiCjybBZ0AQsmk065/KqGmhAQNU1SJJPFUWhxxp4okQ9Gk/n0GJSahaEpcSaeEwgmJQF4ZT0pIEuJJOSWSSEsynRYcPuGwSyie0vSJVFo8SQgoTYko1kWCUQm5UhKOJvSZcydcEg5GJGRLSDQUlFCTS8I4RjQpkWRKwo6EREJxiYZiErFjn4gEm7wSCYYkFgpLxJvWbWmnXUJB0TzCQZFIKCJhW0JiYXx2STQUEmfCqeXBPrFYUqKGS8IepI9KPByUaMgmYUdSohB04jrgYrnM7w1sjwQdKgKFODNphzQyJZGUW2KhkMRwbqG0xMJhCTU1SQRC3rhToiijPS6xcFQiQUPPCfnjOJFoQsJpU9CJ9yF3SsLBmF5Hu9shsVRaQnr+TeJJodwxCTXZ9dyDTTbzXgRjEnIkJRyMqlgU5wcgtwx6zfxw3c1r65G0y673GHkiD0g5swWdeC5Cobi48HC4HWKPOyQYS2kayFyTTps0pV0ZQWcc8mTDkGjzs5V0ZAk6k2l9FoORpLji5v/XQ8mUpHHfHZDHQvopEsOzg2cPaZuf1YygE3024g4VtNpsNhV14p5m/3bkFfwt5pgejBo1qsVq9J+58MILpbf48ssv5cYbb2y3FgesWLFC3G63VFRUtFg/bNgw3VYwjCJn6dKleIa48BrwGeAzwGeAz0CXnwH8duSLSCRi1NbW9srziHxWrlxpNDQ0ZJZoNNrmcc8+++xO8/v0009bpPn222+N8ePHG8cdd1yH53T//fcbbrd7g/U77LCDcdZZZxmFouibq4YPHy5Lly6V0tJSjdT7M6hyRESO8paVlclAh+fTv+H96d/w/hQG1OA0NTXpb0e+8Hq9smjRok5HK3UF1J4gv65w5plnyjHHHNPhPuh/Y4GOw7vvvrvsvPPOcvvtt3eYrra2Vs+nvr6+RW0ORldhW6Eo+iDHbrfLyJEjZSCBAKcYghwLnk//hvenf8P70/eUl5fn/RgITLoanPQWQ4cO1aUrLFu2TAOcSZMmaQdi/JZ2BPZzuVwyd+5cHToO0Fl5yZIlMnnyZCkUHEJOCCGEkBYBzpQpU7TTMPrhrF69WvvVZPetwT7oWPzWW29lAkPMrTNr1ix54YUXtCPyscceqwFOoUZWDYqaHEIIIYR0neeee047G2Np3RJidcjGwA3U1ITD5uAHgPl0UOODmpxYLCb77LOP/PWvf5VCwiCnH4Ehf+gV39tD/woFz6d/w/vTv+H9IYXimGOO6bTvzkYbbbTBCDQ0v91888269Bds6H1c6EIQQgghhPQ27JNDCCGEkKKEQQ4hhBBCihIGOYQQQggpShjkEEIIIaQoYZDTi6BHOXqco4f5TjvtlJk/YN26dXLqqafKpptuKj6fT+ce+O1vf6vCs86Ash5zESDPrbbaSp5++ukW29Fv/Pzzz5e6ujrNG3K0L774Iq/n0/r406ZN09mkH3/88QF9PpDIwZ4bCAR0ArZdd91VIpFIh3m++OKLst122+lImAkTJsicOXO6fdx8nA/mszjqqKN0plGcD8r4j3/8o9M8C3U+8+bNk/32209nmW3rWerpc9EfzwdDb88++2x9/nFvsM/RRx+ts8sOxPNpzcyZM3Wf6667rt+eDxlEFEwoUWQ8+OCD6u24++67jY8//tg4/vjjjYqKCnWKfPTRR8ZBBx1k/Otf/zK+/PJLY+7cucbGG29sHHzwwR3m+eqrrxoOh8O46qqrjE8++cT405/+ZLhcLs3P4oorrjDKy8uNxx9/3Pjggw+M/fff3xg7dqy6UfJ1Ptn85S9/MaZNm6bOk8cee2zAns9rr71mlJWVGbNnzzYWLFhgfPbZZ8ZDDz3UrgMGfP3114bf7zdmzZql53PjjTfq+T3zzDNdPm6+zmevvfZSZ8ybb75pfPXVV8Yll1xi2O1247333uuX5/P0008bf/zjH41//vOfbT5LPXku+uv51NfXG3vuuac+X3jOXn/9dWPHHXc0Jk2a1GGe/fV8ssH2iRMnGsOHDzeuvfbafns+ZPDAIKeXwJfUySefnPmcSqX0Dx0/mm3x8MMP6x9vIpFoN89DDz3UmD59eot1O+20k3HiiSfq+3Q6rXK2q6++usUXqMfjMf7v//4v7+fz/vvvGyNGjDCWL1/epSCnP58PyoGgqztAOrfFFlu0WHfYYYcZ++yzT5eP21M6yzcQCBj33XdfizRVVVXGHXfc0S/PJ5vWz1JPn4v+ej5t8dZbb+l+ixcvHrDnA5Ejvg/wn4QxY8Z0GuT0l/MhxQ2bq3oBSMkwhTWq0C0w6yM+owmkLdBUhSYRp/P7+RhRJXvhhRdmPiNtdp4AM0haeULwhmaJ7H0wtTaqdNs7bm+dD2a5/OUvf6lVye3J1wbK+axatUrefPNNqampURHdsGHDZLfddpNXXnmlRT6Y5jx7gqzOzqcnz0VvnA/AeTz00EPaVJpOp+XBBx+UaDSq59DfzqczuvpcDJTzae/7AE082WLDgXQ+eMbQPPr73/9etthiizb3GUjnQ4oHBjm9wJo1aySVSumPYzb4nO36yN7/kksukRNOOKHF+vHjx8uQIUMyn5G2ozyt164etzfP54wzztAf0gMOOKDdfAbK+Xz99df6GQHZ8ccfL88884z2E5g6dWqLfh/oS4U+IZ2dD+zR6MvT3eeit84HPPzww9r3o7q6Wvs7nHjiifLYY49pv4f+dj6d0dXnYqCcT2sQfKKPzuGHH95CzDuQzufKK6/U/7Chr2F7DKTzIcUDtQ59DP6Ap0+fLj/4wQ9a1HIA2FsHAv/617/k+eefl/fff7/D/QbK+eB/oQCBAIRyYNttt9Xy33333TJ79mxdd99998lA4bzzzpP6+nr53//+p4EmOooeeuih8vLLL2uH14F2Pl1hIJ4PAlHcF7QC3XLLLQPyfFDbcv3118t7772ntVHtMVDOhxQXrMnpBfAj4nA4ZOXKlS3W43N2U05TU5Psu+++Ulpaqv+rhpa+I5C2ozyt186O29vngwDnq6++0qp1/O/NanKDlC27OWSgnI/1v0sEntlsvvnmsmTJkm6fD/43jhFAXX0uevt8cG9uuukmDdBQGzVx4kR1om2//fYdOmUKdT6d0dPnor+eT+sAZ/HixSpEzK7FGUjng8AZTb6oqbG+D3BOZ555pjZZD7TzIcUFg5xewO12y6RJk1rUXKB2AJ+hmbdqcPbee2/dFzUhGA7ZGUjbujYEX4ZWnmPHjtU/9ux9cBz0L7H2ycf5nHPOOfLhhx/K/PnzM4tloL3nnnsG3PngixhDY2HUzebzzz+XMWPG9Ph8uvJc5ON8LCsw+i9kgx8Mq9aqP51PZ/T0ueiv55Md4KA5FLVtaFbsjP56PuiL0/r7AH9P6J/z7LPPDrjzIUVGoXs+FwsY6ojRHnPmzNHhkCeccIIOdVyxYoXR0NCgo3e22morHUKO0UjWkkwmM3nsscceOowye8i10+k0/vznPxuffvqpccEFF7Q55BrHeeKJJ4wPP/zQOOCAA3ptyHV759PVERcD6XwwEgRDyB955BHjiy++0JFWXq9X75fFUUcdZZxzzjkbDIH9/e9/r+dz8803tzkEtjvXsTfOJx6PGxMmTDB+/OMf6xBynAOuuc1mM5566ql+eT5NTU06Wg8LniVMTYD31mijrjwXA+V8cH8wBH7kyJHG/PnzW3wfxGKxAXc+bdHW6Kr+dD5k8MAgpxfBD/ro0aN1aDiGPr7xxhu6/oUXXtAvhraWRYsWtfhiwA9/66Hmm2yyieaJ4ZbZP1LW8NrzzjvPGDZsmH4ZTJ061Vi4cGFez6erQc5AOx8MS8UPD754J0+ebLz88ssttu+2227GjBkzWqzDvd1mm200z3Hjxhn33HNPt4+bj/P5/PPPdW6mmpoaPZ+tt956gyHl/el82vsbscrXledioJwP/ubb+z5AuoF2Pl0NcvrT+ZDBgw3/FLo2iRBCCCGkt2GfHEIIIYQUJQxyCCGEEFKUMMghhBBCSFHCIIcQQgghRQmDHEIIIYQUJQxyCCGEEFKUMMghhBBCSFHCIIfklWOOOUYOPPDAPr/Kc+bMUVkgltNPP10GMjgXeMLyAZQW1113XV7yJvkBwtgddthBHXg1NTX699VaSQKz+cknn6y6iJKSEvXKZTugPvjgA7Wejxo1Sj1R8LRBstmaF198Ubbbbjs12cNgj2exq0B4C5XII488In3JZZddJjvvvLP4/f52/26s74bs5cEHH+zTcpK+gUEO6TFtfVFkL7Cs44uzO1+MvQlEf8uXL5dLLrmkIMcfCLz99ttywgknFLQM8+bNk/322099R3huYExvDX6gETBjH/x4QXQL75PFN9980+5zmP0jC+Hq9OnTNQ8ECPArJZPJTsuIPDbbbDN1zsHi/vTTT7fY/s9//lPddAgqcEzL59YZ69atkyOOOEKfVfwgH3fccRIMBlsEKzhvHBPiSwQ0L730kgYwb7zxhrqe4MHCsUOhUCbdGWecIU8++aSWG/t/9913ctBBB7Uwh+P8//73v8vHH38sf/zjH+Xcc89VsavFokWL9Frtvvvuej74z8Kvf/3rDn1UFvCnIWg466yzVBTbl8TjcTnkkEPkpJNO6nA/ePbw/WAthfjPGOkDCj3lMhm4ZDt3rrvuOnU/Za+D76ZQYHr48vJyoxgopnNpi6efftr44x//aPzzn/9sUw8CpcMPf/hDdXG99dZbxmeffaYOI0z1HwwGdR844LKfPSwXXXSRUVJSknkOsc+WW25p7LnnnupdwnGHDBlinHvuuR2WD841OJWuuuoq9SfBa9bauQZlBo53xx136Dkg/66w7777GhMnTlRVATQicI4dfvjhme04v5kzZxq33367sc8++6izqzWrVq3SY7700kv6ub6+XssHD5sF3FDY5/XXX2+3LL/5zW+M3XffPfP5rLPOUvVKNocddpiWozPgmsI9Q1mgFVmyZMkGiofTTjutxTqcW7b24bvvvjN+8pOfqENuo402Mu6///42dRE9+btp6zkjxQmDHNIrtPeFgi+t7C9mfLmdcsop+gUH0R7cSvgCx5f5Mcccoz9K48eP1x+gbPCDgh+EQCCgaY488khj9erV3S4PJID4IYH/CPkcfPDBmW2pVMq4/PLL9QsVX6zwPWX/UIAFCxYY06dPN0pLS7WsP/rRjzIST6THD92IESPUs4Mfr//85z+ZtJaz6B//+IcxZcoUw+fz6TFee+21Dco+atQo3X7ggQeqXDP7XCB1RHocH+XYbrvtjLfffrvN64AAAf4w5Icy1dXVGaeeempme+sfDZQPP9Q4Lo6PawUpZlevAUD6zTbbTK/xpptuqte8q7T14wNHFdbjuBa41kOHDtVjtQecSL/61a8yn/FM2e32FnLHW265RYPzbDFmaw499FA932wg3D3xxBM32Ne6x10JchAwYd/se4fnBSLVZcuWdfq3ZAGhLPKxgq65c+fq5/Xr17fYD0EhxJrtccQRR7T4e0BQ2ToQufvuu/V6dQbS3nTTTfoeeV588cXdDnIQjOIeIgB89913NQ2eyd4KcoYPH25UV1cbO+ywg3HXXXfp3wopPthcRfqce++9V4YMGSJvvfWWnHrqqVqtjOpltKO/9957WvV+1FFHaZU3qK+vlz322EO23XZbeeedd+SZZ57R5otDDz20W8dF2t/+9rdy8cUXax8G5LPrrru26Otw3333ya233qpV+KjyP/LII7W6Hyxbtkz3R/+E559/Xqv8f/WrX2WaO9A0d80118if//xn+fDDD2WfffaR/fffv0WzCkDTwO9+9zttAthkk020b4SVx5tvvqlNFqeccopuR1PBpZde2iI9mjdGjhypTU0owznnnCMul6vNc/7HP/4h1157rdx2221aDjQFoemjIy666CK9tjiHn/zkJ3o8NKt05Rrcf//9cv7552u/iE8//VQuv/xyOe+88/Se95RYLKavaCqysNvtWoZXXnmlzTQoF64frqXF66+/ruc+bNiwzDrco8bGRr3f7YF0e+65Z4t1SIf1uYD0aKLafvvtM+twHJwbnoOukE6ntRlpl112kS233FLXrVixQtxu9wb9UXDe2NYWr732mjz00EMtmi6xb/a1svLA9YpEIu2WCc8ZmtIOO+ww/Yy/ITQNdUeT+Nlnn8n//vc/ueOOO2SnnXbSfkF33nlnh8ftDvgOePjhh7W5D/2VfvOb38iNN97YK3mTfkahoywy+Gpy8D9/CzQhoHbmqKOOyqxDU0N21foll1xi7L333i3yXbp0qe7TnqG8rfKgBgX/C21sbNxg/2g0qtXqrWtVjjvuuEzzAZo1xo4da8Tj8TaPif8ZXnbZZS3W4X+JaAbI/l/+nXfemdn+8ccf6zo0JwAcC1X0rZsIss8FNShoDugK11xzjVrf2ytzWzU5aI6xQA0b1lk1Up1dA9TCPfDAAy3W4f7B6t7TmhwcC7UQhxxyiLFu3Tqtdbniiit039bPhcVJJ51kbL755i3WHX/88RvsHwqFNJ/WNYfZoOmn9Tmhdgo1gbnU5OBZwb1pDWqo/vrXv3apJgdNWbiH+HuwQLMOau1ag2cRTVCtQQ0Qmu1wn7LZeOONtWYzm6eeekrPLxwOG3//+9/1b9da5s2bp/ucc845xk9/+tNMGtyvqqoq43//+1+Xa3Ief/xxw+l0ao1dNpWVlZnnFTVp2cfPpZkXhvuRI0d2aV8ysGBNDulztt5668x7jL5AZ83s2gXrf4+rVq3KjAR54YUXdJSItaATKPjqq6+6fNy99tpLxowZI+PGjdOaItQ6WLVFX375pb7HPtnHQc2OdQzUDPz4xz9us9YE/7tF5078jzobfEaNRnvnX1dX1+JcsS/+55rN5MmTW3yeNWuWdgDF//qvuOKKDq8Basjwv1+c8/HHHy+PPfZYpx1ts8sXCAS0U6xVvo6uATq+oiyoPcm+hqiJ6s59ag2OhY69n3/+uVRVVWmnYTwP06ZN01qP1uB8H3jggRa1OF0BnZKzy41aqN5i5syZLfLuDVDb9+9//1uvBWr2LGpra7XzLWpAs0HtJ7Zl88knn8jUqVO1BudPf/pTi23YN3tElpUHngeMyEItJZ4Ha0GNVCqV0lq7p556SjtKY8H9Qk1gdgdk3LfWNTvoQN3d2pjs4+cC/ua+/fbbTK0hKR6chS4AGXy0/oHEaJTsdfhsVcUDjDbB6Jsrr7xyg7ysIKErYMgtmsMwLPa///2vNqtgBBiafawRLfhyHjFiRIt0aBYB+GLvDTo6166AMv/yl7/Usv7nP/+RCy64QEey/OxnP9tgXwwRRtMcqv5RNY9q+auvvlqb4Npr4mrr/ljl6+gaWNfQamLIBsFsLkyaNEl/yBoaGvQHfOjQoXqM7KYei0cffVQD1qOPPnqDH200kWZj/YhjG0ZuZf9YIqDq6Me+dcDQ2Q8ymihbl8cKHi0QgCIg6ChvBAdo5kXAimd57NixG1wr3MO5c+dqUwzAM4AgLjtgRhMdmoFnzJihzYutwb6tR5HhGbLywN8TlmwwoqupqUnef//9Fvd8wYIFcuyxx2rghWY03D+MaLJAcIR90DwLNt10U70WyAfnY/1HZP369Zk0GB2GpTfAfa+srMz8rZPigUEO6fegPR59SzCnC/5nmAtIjxoQLAgO8IWLviWowcEXHH4Idtttt3ZrOPC/VPyPs3UggP/d4kfy1VdfbZEen3fcccculw/zlbTuj4H+Da1BXx4s6DeEPj3o89BWkGMFJggSsWDoMWrBPvroI72u3aWja4AaOFyDr7/+Wvvx5IPy8vJMvw/0sWpreoC77rpLaxnwQ5oNfpzxY47AwvpxxI827t0PfvADfTYwF0xrkA4BQ/Z8S9k/9l2hrR9kpMePPvoPWT/keBYRULYOErPBPURN1RNPPKFBhtXPBtcG9xqvqMVCjR8CNZwfgiIc74c//KHui4ACAQ76FmE/Kw8EJtZ1Q+0ThpRjGDj6XaFs6MeC4Lo9cO0x7HzixIkt1uP64llF7SnKj2PjuMhr/Pjx8pe//KVFzROeUfyNoobplltu0WftzDPP1POz/mPQHvgbRqCIVwRPVuCKe4taNARiCFJxLdDPC/cStXatg1BSJBS6vYwMvj45rdvi2xoWmt03AyNN0E/h5z//uQ4hxkieZ555RkdjoU9PV8vz5JNPGtdff732l/jmm2+03wNG21ijdjCMGaMt0N8Fx8CIjhtuuCHT/2XNmjW6/aCDDtIRMZ9//rkOHcaQZoBzQJ+fBx98UNedffbZ2p8D+7XXXwMjYLDuhRde0M/oh4QyXX311Zruxhtv1FFo1rmgL8TJJ5+s++McXnnlFe0H01ZfC+s6oA8Q+l189dVX2t8GI1RwLm1d+7b6xODYyKcr1wCjnZA/rjP6S3344Yc6Igd9g9oDQ7xxTbDg+BgBhPeLFy/O7PPwww/rOeMc0F8D5UYZ2hpphNFJ2aPaLKwh5OiXgxFqeIbwXHVlCDn6h2CUG/pOYbRa6yHka9eu1TJbfVbwDOAz+pd1BEYMbrvttsabb76p9xL9YLKHkFv9tpDXfvvtp6PqkH9bi3WPQCQS0b5g6MOCvmY/+9nPWpQF59BWHriu2eCaY4QT+viMGzeuxTFag1FruE64V+31k8K5Wv2s8Bl9ddC3afbs2W0OIZ82bZqO0kO50C8K+956660dXlPk0da5WX9jeDZwThgZiL48GAWJPFv3/yHFAYMc0u+DHIAfU3xR4wcfP6IYonz66ae3O+yzrfJgHhIcH1/81vDthx56KLMdeWG+Hwx7xo8YfgAxJ4g1/wj44IMP9EcSPxzoAIyhsvjhBfiSvPDCC3UIOdK3N4S8oyAHYDgrOkGijPhhyx5Cjk6cv/jFLzJDwtHZGUPy8aPWFriGGO6M4Atf6Ji7JLsDaHeDnM6ugdXx1fphxLXedddddQ6c9sC5t/WjlP2Dh6AJ1wTXFZ2QEay1NewbAQuuTXs/WAgM8cOJa4vOtmeeeaaRSCSMzsAPNzoJ45wwdwyCmWxwfdo6BwQTHYHgCEENfnBxj4499tgN5pfCPWor78GGNdgg+/klpDNs+KfQtUmE9DaYZRnNC607XxJCBgZoHkM/LwxKQP8dNJthCgN0QG+vPxkhreHoKlK0oJMq2uDPPvvsQheFENJN0O/rD3/4g2yxxRba3wx9hdDRmgEO6Q6sySFFCUZ4WCNi0LkYkw8SQggZXDDIIYQQQkhRwuYqQgghhBQlDHIIIYQQUpQwyCGE9CmY1BETumHh6DdCSD5hkENIgbn55pv1hx+zr2Km22z1QDQa1Rli4ffCSDFM099aMdAWjzzyiM4aizwxBLf19PyYOQJaC2gxMIssZpdtbUtvC4xuwUzJmB0aM8hiqH53zgdAo4EZrAkhJN8wyCGkgDz00EM6vT0UE/BqYTp8TLVvOY0wFT6moUfQAt8UJKAHHXRQh3m+9tprqnrA1P5w/xx44IG6YCp/i6uuukpuuOEGufXWW1UjAREnjougqj0WLVqkU/bDL4Sp8jEPEUShzz77bJfPB2AosOWFIoSQvNLpdIGEkLyx4447qqbBAjP1YhZjTHNfX1+vM/w+8sgjme3QCuDPFvqH9jj00EON6dOnt1iHWY9PPPHEzMzOtbW1qo6wwLEwff7//d//tZsv1BGY7Tebww47TGeF7sr5tDXLMWZ8JoSQfMGaHEIKBGzakDOiqcjCbrfr59dff123YUK07O1ogho9erRut0DTEMzkFtiWnQagNsVKgxoZCBmz94HUEU1L2flOmTJFjjnmmC7n29n5EEJIX8Mgh5ACsWbNGrUkw96dDT4jCMHidrt1MsO2tlvA4pw92SG2tZentd1a11G+CKbQZ6ezfBsbGyUSiXR6PoQQ0tc4+/yIhJBeZe7cuXm5ovfdd19e8iWEkL6CNTmEFAjUvjgcjg1GS+FzbW2tLmgCaj3M2treHtjWXp7Wdmtdb+RbVlamI7Q6Ox9CCOlrGOQQUiDQFDVp0qQWNTHpdFo/T548WbdBRpi9feHChbJkyRLd3h7Y1rp257nnnsukGTt2rAYd2fugyQmjrHLJt7PzIYSQPidvXZoJIZ3y4IMP6qimOXPmGJ988olxwgknGBUVFcaKFSt0+8yZM43Ro0cbzz//vPHOO+8YkydP1iWbPfbYw7jxxhszn1999VXD6XQaf/7zn3U01gUXXKCjtD766KPMPldccYUe54knnjA+/PBD44ADDjDGjh1rRCKRzD5HHXWUcc4552Q+f/3114bf7zd+//vfa74333yz4XA4jGeeeabL52PB0VWEkL6AQQ4hBQYBCgIZt9utQ7DfeOONzDYEHb/5zW+MyspKDTB+9rOfGcuXL2+RfsyYMRrIZPPwww8bm2yyieaJYd9PPfVUi+0YRn7eeecZw4YN06Bk6tSpxsKFC1vss9tuuxkzZszYIDjZZpttNN9x48YZ99xzT7fOJzsfDiEnhOQbWsgJIX0OZk7GpILr16/fYPQYIYT0FhxdRQjpU7bYYgv5+uuvedUJIXmHNTmEkD5l8eLFOskhGDdunE4YSAgh+YBBDiGEEEKKEv4XihBCCCFFCYMcQgghhBQlDHIIIYQQUpQwyCGEEEJIUcIghxBCCCFFCYMcQgghhBQlDHIIIYQQUpQwyCGEEEKIFCP/D8pxxm1HtCM4AAAAAElFTkSuQmCC",
             "text/plain": [
               "<Figure size 640x480 with 2 Axes>"
             ]
@@ -1475,7 +1678,7 @@
         {
           "data": {
             "text/plain": [
-              "<matplotlib.collections.QuadMesh at 0x25a7fe4a9d0>"
+              "<matplotlib.collections.QuadMesh at 0x24468e8dac0>"
             ]
           },
           "execution_count": 10,
@@ -1484,7 +1687,7 @@
         },
         {
           "data": {
-            "image/png": "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",
+            "image/png": "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",
             "text/plain": [
               "<Figure size 640x480 with 2 Axes>"
             ]
@@ -1525,7 +1728,7 @@
         {
           "data": {
             "text/plain": [
-              "<matplotlib.collections.QuadMesh at 0x25a2abaa990>"
+              "<matplotlib.collections.QuadMesh at 0x24469035d30>"
             ]
           },
           "execution_count": 12,
@@ -1534,7 +1737,7 @@
         },
         {
           "data": {
-            "image/png": "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",
+            "image/png": "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",
             "text/plain": [
               "<Figure size 640x480 with 2 Axes>"
             ]
@@ -1648,39 +1851,86 @@
               "</symbol>\n",
               "</defs>\n",
               "</svg>\n",
-              "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
-              " *\n",
-              " */\n",
+              "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\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",
+              "  --xr-font-color0: var(\n",
+              "    --jp-content-font-color0,\n",
+              "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+              "  );\n",
+              "  --xr-font-color2: var(\n",
+              "    --jp-content-font-color2,\n",
+              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+              "  );\n",
+              "  --xr-font-color3: var(\n",
+              "    --jp-content-font-color3,\n",
+              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+              "  );\n",
+              "  --xr-border-color: var(\n",
+              "    --jp-border-color2,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+              "  );\n",
+              "  --xr-disabled-color: var(\n",
+              "    --jp-layout-color3,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+              "  );\n",
+              "  --xr-background-color: var(\n",
+              "    --jp-layout-color0,\n",
+              "    var(--pst-color-on-background, white)\n",
+              "  );\n",
+              "  --xr-background-color-row-even: var(\n",
+              "    --jp-layout-color1,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+              "  );\n",
+              "  --xr-background-color-row-odd: var(\n",
+              "    --jp-layout-color2,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+              "  );\n",
               "}\n",
               "\n",
               "html[theme=\"dark\"],\n",
               "html[data-theme=\"dark\"],\n",
               "body[data-theme=\"dark\"],\n",
               "body.vscode-dark {\n",
-              "  --xr-font-color0: 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",
+              "  --xr-font-color0: var(\n",
+              "    --jp-content-font-color0,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+              "  );\n",
+              "  --xr-font-color2: var(\n",
+              "    --jp-content-font-color2,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+              "  );\n",
+              "  --xr-font-color3: var(\n",
+              "    --jp-content-font-color3,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+              "  );\n",
+              "  --xr-border-color: var(\n",
+              "    --jp-border-color2,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+              "  );\n",
+              "  --xr-disabled-color: var(\n",
+              "    --jp-layout-color3,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+              "  );\n",
+              "  --xr-background-color: var(\n",
+              "    --jp-layout-color0,\n",
+              "    var(--pst-color-on-background, #111111)\n",
+              "  );\n",
+              "  --xr-background-color-row-even: var(\n",
+              "    --jp-layout-color1,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+              "  );\n",
+              "  --xr-background-color-row-odd: var(\n",
+              "    --jp-layout-color2,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+              "  );\n",
               "}\n",
               "\n",
               ".xr-wrap {\n",
               "  display: block !important;\n",
               "  min-width: 300px;\n",
               "  max-width: 700px;\n",
+              "  line-height: 1.6;\n",
               "}\n",
               "\n",
               ".xr-text-repr-fallback {\n",
@@ -1703,11 +1953,18 @@
               "}\n",
               "\n",
               ".xr-obj-type,\n",
-              ".xr-array-name {\n",
+              ".xr-obj-name,\n",
+              ".xr-group-name {\n",
               "  margin-left: 2px;\n",
               "  margin-right: 10px;\n",
               "}\n",
               "\n",
+              ".xr-group-name::before {\n",
+              "  content: \"📁\";\n",
+              "  padding-right: 0.3em;\n",
+              "}\n",
+              "\n",
+              ".xr-group-name,\n",
               ".xr-obj-type {\n",
               "  color: var(--xr-font-color2);\n",
               "}\n",
@@ -1716,6 +1973,8 @@
               "  padding-left: 0 !important;\n",
               "  display: grid;\n",
               "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+              "  margin-block-start: 0;\n",
+              "  margin-block-end: 0;\n",
               "}\n",
               "\n",
               ".xr-section-item {\n",
@@ -1726,10 +1985,12 @@
               "  display: inline-block;\n",
               "  opacity: 0;\n",
               "  height: 0;\n",
+              "  margin: 0;\n",
               "}\n",
               "\n",
               ".xr-section-item input + label {\n",
               "  color: var(--xr-disabled-color);\n",
+              "  border: 2px solid transparent !important;\n",
               "}\n",
               "\n",
               ".xr-section-item input:enabled + label {\n",
@@ -1738,7 +1999,7 @@
               "}\n",
               "\n",
               ".xr-section-item input:focus + label {\n",
-              "  border: 2px solid var(--xr-font-color0);\n",
+              "  border: 2px solid var(--xr-font-color0) !important;\n",
               "}\n",
               "\n",
               ".xr-section-item input:enabled + label:hover {\n",
@@ -1783,7 +2044,6 @@
               ".xr-section-summary,\n",
               ".xr-section-inline-details {\n",
               "  padding-top: 4px;\n",
-              "  padding-bottom: 4px;\n",
               "}\n",
               "\n",
               ".xr-section-inline-details {\n",
@@ -1793,6 +2053,7 @@
               ".xr-section-details {\n",
               "  display: none;\n",
               "  grid-column: 1 / -1;\n",
+              "  margin-top: 4px;\n",
               "  margin-bottom: 5px;\n",
               "}\n",
               "\n",
@@ -1800,6 +2061,32 @@
               "  display: contents;\n",
               "}\n",
               "\n",
+              ".xr-group-box {\n",
+              "  display: inline-grid;\n",
+              "  grid-template-columns: 0px 20px auto;\n",
+              "  width: 100%;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-vline {\n",
+              "  grid-column-start: 1;\n",
+              "  border-right: 0.2em solid;\n",
+              "  border-color: var(--xr-border-color);\n",
+              "  width: 0px;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-hline {\n",
+              "  grid-column-start: 2;\n",
+              "  grid-row-start: 1;\n",
+              "  height: 1em;\n",
+              "  width: 20px;\n",
+              "  border-bottom: 0.2em solid;\n",
+              "  border-color: var(--xr-border-color);\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-contents {\n",
+              "  grid-column-start: 3;\n",
+              "}\n",
+              "\n",
               ".xr-array-wrap {\n",
               "  grid-column: 1 / -1;\n",
               "  display: grid;\n",
@@ -1870,7 +2157,9 @@
               ".xr-var-item label,\n",
               ".xr-var-item > .xr-var-name span {\n",
               "  background-color: var(--xr-background-color-row-even);\n",
+              "  border-color: var(--xr-background-color-row-odd);\n",
               "  margin-bottom: 0;\n",
+              "  padding-top: 2px;\n",
               "}\n",
               "\n",
               ".xr-var-item > .xr-var-name:hover span {\n",
@@ -1881,6 +2170,7 @@
               ".xr-var-list > li:nth-child(odd) > label,\n",
               ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
               "  background-color: var(--xr-background-color-row-odd);\n",
+              "  border-color: var(--xr-background-color-row-even);\n",
               "}\n",
               "\n",
               ".xr-var-name {\n",
@@ -1930,8 +2220,15 @@
               ".xr-var-data,\n",
               ".xr-index-data {\n",
               "  display: none;\n",
-              "  background-color: var(--xr-background-color) !important;\n",
-              "  padding-bottom: 5px !important;\n",
+              "  border-top: 2px dotted var(--xr-background-color);\n",
+              "  padding-bottom: 20px !important;\n",
+              "  padding-top: 10px !important;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs-in + label,\n",
+              ".xr-var-data-in + label,\n",
+              ".xr-index-data-in + label {\n",
+              "  padding: 0 1px;\n",
               "}\n",
               "\n",
               ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
@@ -1944,6 +2241,12 @@
               "  float: right;\n",
               "}\n",
               "\n",
+              ".xr-var-data > pre,\n",
+              ".xr-index-data > pre,\n",
+              ".xr-var-data > table > tbody > tr {\n",
+              "  background-color: transparent !important;\n",
+              "}\n",
+              "\n",
               ".xr-var-name span,\n",
               ".xr-var-data,\n",
               ".xr-index-name div,\n",
@@ -2003,6 +2306,14 @@
               "  stroke: currentColor;\n",
               "  fill: currentColor;\n",
               "}\n",
+              "\n",
+              ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+              ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+              ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+              "  color: var(--xr-font-color0);\n",
+              "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+              "  stroke-width: 0.8px;\n",
+              "}\n",
               "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 379kB\n",
               "Dimensions:         (time: 183, dirIMU: 3, dir: 4, range: 28, beam: 4,\n",
               "                     earth: 3, inst: 3, q: 4, time_b5: 183, range_b5: 28)\n",
@@ -2044,7 +2355,7 @@
               "    range_offset:              0.6\n",
               "    declination:               15.8\n",
               "    declination_in_orientmat:  1\n",
-              "    principal_heading:         11.1898</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-40afcbec-82fa-4ea2-8864-207bc81a7a2f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-40afcbec-82fa-4ea2-8864-207bc81a7a2f' 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'>time</span>: 183</li><li><span class='xr-has-index'>dirIMU</span>: 3</li><li><span class='xr-has-index'>dir</span>: 4</li><li><span class='xr-has-index'>range</span>: 28</li><li><span class='xr-has-index'>beam</span>: 4</li><li><span class='xr-has-index'>earth</span>: 3</li><li><span class='xr-has-index'>inst</span>: 3</li><li><span class='xr-has-index'>q</span>: 4</li><li><span class='xr-has-index'>time_b5</span>: 183</li><li><span class='xr-has-index'>range_b5</span>: 28</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6a2d51fd-0c35-44ba-9e74-4c2f260aa17a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a2d51fd-0c35-44ba-9e74-4c2f260aa17a' class='xr-section-summary' >Coordinates: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:22:30.001030683 .....</div><input id='attrs-8c6cc862-7bbd-406d-95d2-977701a314a4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c6cc862-7bbd-406d-95d2-977701a314a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3388b96d-e832-465d-ba2d-8a2ee5e60b51' class='xr-var-data-in' type='checkbox'><label for='data-3388b96d-e832-465d-ba2d-8a2ee5e60b51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:22:30.001030683&#x27;, &#x27;2020-08-15T00:27:30.001019239&#x27;,\n",
+              "    principal_heading:         11.1898</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-34e762c6-6073-420c-8cd0-b23f6cca91eb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-34e762c6-6073-420c-8cd0-b23f6cca91eb' 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'>time</span>: 183</li><li><span class='xr-has-index'>dirIMU</span>: 3</li><li><span class='xr-has-index'>dir</span>: 4</li><li><span class='xr-has-index'>range</span>: 28</li><li><span class='xr-has-index'>beam</span>: 4</li><li><span class='xr-has-index'>earth</span>: 3</li><li><span class='xr-has-index'>inst</span>: 3</li><li><span class='xr-has-index'>q</span>: 4</li><li><span class='xr-has-index'>time_b5</span>: 183</li><li><span class='xr-has-index'>range_b5</span>: 28</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b61d6f70-b689-4dc1-a7e3-844a331a3bea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b61d6f70-b689-4dc1-a7e3-844a331a3bea' class='xr-section-summary' >Coordinates: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:22:30.001030683 .....</div><input id='attrs-a1557156-abdd-45bc-a92f-5b1ae4f5c055' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a1557156-abdd-45bc-a92f-5b1ae4f5c055' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9b7861c-764b-4e2f-b192-666323e2f5ae' class='xr-var-data-in' type='checkbox'><label for='data-a9b7861c-764b-4e2f-b192-666323e2f5ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:22:30.001030683&#x27;, &#x27;2020-08-15T00:27:30.001019239&#x27;,\n",
               "       &#x27;2020-08-15T00:32:30.001010656&#x27;, &#x27;2020-08-15T00:37:30.001015901&#x27;,\n",
               "       &#x27;2020-08-15T00:42:30.001019954&#x27;, &#x27;2020-08-15T00:47:30.001018524&#x27;,\n",
               "       &#x27;2020-08-15T00:52:30.001013994&#x27;, &#x27;2020-08-15T00:57:30.001026630&#x27;,\n",
@@ -2135,9 +2446,9 @@
               "       &#x27;2020-08-15T15:02:30.001021146&#x27;, &#x27;2020-08-15T15:07:30.001027345&#x27;,\n",
               "       &#x27;2020-08-15T15:12:30.001029014&#x27;, &#x27;2020-08-15T15:17:30.001026630&#x27;,\n",
               "       &#x27;2020-08-15T15:22:30.001026153&#x27;, &#x27;2020-08-15T15:27:30.001022577&#x27;,\n",
-              "       &#x27;2020-08-15T15:32:30.001030683&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dirIMU</span></div><div class='xr-var-dims'>(dirIMU)</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;streamwise&#x27; &#x27;x-stream&#x27; &#x27;vert&#x27;</div><input id='attrs-d4114ee4-4fd2-4656-a755-e1677ad95cbf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d4114ee4-4fd2-4656-a755-e1677ad95cbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07f9c86c-b27f-44bc-a342-95d51837989d' class='xr-var-data-in' type='checkbox'><label for='data-07f9c86c-b27f-44bc-a342-95d51837989d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;streamwise&#x27;, &#x27;x-stream&#x27;, &#x27;vert&#x27;], dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dir</span></div><div class='xr-var-dims'>(dir)</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;streamwise&#x27; &#x27;x-stream&#x27; ... &#x27;vert2&#x27;</div><input id='attrs-3ff426e7-7498-47ac-b74d-288024071044' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ff426e7-7498-47ac-b74d-288024071044' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea33e978-7438-4f80-9375-612b056787b0' class='xr-var-data-in' type='checkbox'><label for='data-ea33e978-7438-4f80-9375-612b056787b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;streamwise&#x27;, &#x27;x-stream&#x27;, &#x27;vert1&#x27;, &#x27;vert2&#x27;], dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7</div><input id='attrs-358893ed-0b0c-41bf-8c7c-493855cc2ee4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-358893ed-0b0c-41bf-8c7c-493855cc2ee4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da36c9fa-4417-4a9b-8660-d95c849a25e7' class='xr-var-data-in' type='checkbox'><label for='data-da36c9fa-4417-4a9b-8660-d95c849a25e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
+              "       &#x27;2020-08-15T15:32:30.001030683&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dirIMU</span></div><div class='xr-var-dims'>(dirIMU)</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;streamwise&#x27; &#x27;x-stream&#x27; &#x27;vert&#x27;</div><input id='attrs-55abea32-6f6e-40e5-80e1-0ac96d0c2de0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-55abea32-6f6e-40e5-80e1-0ac96d0c2de0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39286203-a0c5-4443-8c89-f812acdc1256' class='xr-var-data-in' type='checkbox'><label for='data-39286203-a0c5-4443-8c89-f812acdc1256' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;streamwise&#x27;, &#x27;x-stream&#x27;, &#x27;vert&#x27;], dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dir</span></div><div class='xr-var-dims'>(dir)</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;streamwise&#x27; &#x27;x-stream&#x27; ... &#x27;vert2&#x27;</div><input id='attrs-61c06551-98bc-4b9b-ab63-205ea9b04207' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-61c06551-98bc-4b9b-ab63-205ea9b04207' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7d6cafd-1f4e-439a-80c0-116fa9006e56' class='xr-var-data-in' type='checkbox'><label for='data-f7d6cafd-1f4e-439a-80c0-116fa9006e56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;streamwise&#x27;, &#x27;x-stream&#x27;, &#x27;vert1&#x27;, &#x27;vert2&#x27;], dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7</div><input id='attrs-2ecc5f47-d501-4be5-8171-91b2bd48e96e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2ecc5f47-d501-4be5-8171-91b2bd48e96e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e7e66db-f2c7-4181-b175-63c2a40290ab' class='xr-var-data-in' type='checkbox'><label for='data-0e7e66db-f2c7-4181-b175-63c2a40290ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
               "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
-              "       13.2, 13.7, 14.2, 14.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam</span></div><div class='xr-var-dims'>(beam)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-3e6e203d-6844-430c-817a-055331cd2e13' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3e6e203d-6844-430c-817a-055331cd2e13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-834b2c68-401c-4879-bae7-bfd0f58002ba' class='xr-var-data-in' type='checkbox'><label for='data-834b2c68-401c-4879-bae7-bfd0f58002ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>earth</span></div><div class='xr-var-dims'>(earth)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-24652350-689b-4f90-91ca-12b788f20e20' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-24652350-689b-4f90-91ca-12b788f20e20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5585fda-1e78-4e83-a0e6-3c5a5eda53be' class='xr-var-data-in' type='checkbox'><label for='data-c5585fda-1e78-4e83-a0e6-3c5a5eda53be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>inst</span></div><div class='xr-var-dims'>(inst)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;</div><input id='attrs-f0203aca-7838-436a-88d3-fe64978fe082' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f0203aca-7838-436a-88d3-fe64978fe082' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d33f4c6b-3f93-4b82-97ce-4cd4e91aebd8' class='xr-var-data-in' type='checkbox'><label for='data-d33f4c6b-3f93-4b82-97ce-4cd4e91aebd8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>q</span></div><div class='xr-var-dims'>(q)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;w&#x27; &#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;</div><input id='attrs-9a254a54-000c-4a40-8c99-d7d9d1ebf2a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9a254a54-000c-4a40-8c99-d7d9d1ebf2a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed47564f-b71a-4934-b7ae-18f156b1af82' class='xr-var-data-in' type='checkbox'><label for='data-ed47564f-b71a-4934-b7ae-18f156b1af82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;w&#x27;, &#x27;x&#x27;, &#x27;y&#x27;, &#x27;z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:22:29.938495159 .....</div><input id='attrs-0f8d92ee-d75c-4067-96be-8ccf57a9b599' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0f8d92ee-d75c-4067-96be-8ccf57a9b599' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8ee951d-8ed4-4b8a-8d8d-cdc25ea61095' class='xr-var-data-in' type='checkbox'><label for='data-d8ee951d-8ed4-4b8a-8d8d-cdc25ea61095' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:22:29.938495159&#x27;, &#x27;2020-08-15T00:27:29.938490867&#x27;,\n",
+              "       13.2, 13.7, 14.2, 14.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam</span></div><div class='xr-var-dims'>(beam)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-96ab4c0c-0fba-4eab-b86c-a402dce289d1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-96ab4c0c-0fba-4eab-b86c-a402dce289d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa067c88-4195-40a0-a0a5-c1c53d94da76' class='xr-var-data-in' type='checkbox'><label for='data-fa067c88-4195-40a0-a0a5-c1c53d94da76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>earth</span></div><div class='xr-var-dims'>(earth)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-5a3409d1-7d4f-498a-9d63-c425e3df116c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5a3409d1-7d4f-498a-9d63-c425e3df116c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b12bc727-9a5d-4edd-8301-8659db3ddf54' class='xr-var-data-in' type='checkbox'><label for='data-b12bc727-9a5d-4edd-8301-8659db3ddf54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>inst</span></div><div class='xr-var-dims'>(inst)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;</div><input id='attrs-836a0c0a-54fd-41a4-bd1b-1d5fe86f760d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-836a0c0a-54fd-41a4-bd1b-1d5fe86f760d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d649c030-f529-4ac5-b134-873c333832b8' class='xr-var-data-in' type='checkbox'><label for='data-d649c030-f529-4ac5-b134-873c333832b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>q</span></div><div class='xr-var-dims'>(q)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;w&#x27; &#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;</div><input id='attrs-6fdcb2c7-46a3-4787-84f6-76628d50781f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6fdcb2c7-46a3-4787-84f6-76628d50781f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bccf75f-312d-4767-ac6c-377c5e4f863d' class='xr-var-data-in' type='checkbox'><label for='data-4bccf75f-312d-4767-ac6c-377c5e4f863d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;w&#x27;, &#x27;x&#x27;, &#x27;y&#x27;, &#x27;z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:22:29.938495159 .....</div><input id='attrs-386daa64-282f-4c06-aba5-b12cb261d643' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-386daa64-282f-4c06-aba5-b12cb261d643' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d770ab19-a913-46c8-8a24-b7c68cf514ea' class='xr-var-data-in' type='checkbox'><label for='data-d770ab19-a913-46c8-8a24-b7c68cf514ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:22:29.938495159&#x27;, &#x27;2020-08-15T00:27:29.938490867&#x27;,\n",
               "       &#x27;2020-08-15T00:32:29.938487529&#x27;, &#x27;2020-08-15T00:37:29.938496828&#x27;,\n",
               "       &#x27;2020-08-15T00:42:29.938495397&#x27;, &#x27;2020-08-15T00:47:29.938496589&#x27;,\n",
               "       &#x27;2020-08-15T00:52:29.938497781&#x27;, &#x27;2020-08-15T00:57:29.938495397&#x27;,\n",
@@ -2228,9 +2539,9 @@
               "       &#x27;2020-08-15T15:02:29.938493013&#x27;, &#x27;2020-08-15T15:07:29.938493967&#x27;,\n",
               "       &#x27;2020-08-15T15:12:29.938494920&#x27;, &#x27;2020-08-15T15:17:29.938493251&#x27;,\n",
               "       &#x27;2020-08-15T15:22:29.938486099&#x27;, &#x27;2020-08-15T15:27:29.938484191&#x27;,\n",
-              "       &#x27;2020-08-15T15:32:29.938490390&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_b5</span></div><div class='xr-var-dims'>(range_b5)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7</div><input id='attrs-d5375742-8ba6-436b-b6d3-12a79f5c02df' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d5375742-8ba6-436b-b6d3-12a79f5c02df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5dcd2ea-cf12-4db4-bf1d-7f1fc9630097' class='xr-var-data-in' type='checkbox'><label for='data-d5dcd2ea-cf12-4db4-bf1d-7f1fc9630097' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
+              "       &#x27;2020-08-15T15:32:29.938490390&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_b5</span></div><div class='xr-var-dims'>(range_b5)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7</div><input id='attrs-1df9dd45-0796-4efd-9950-383e6c666a14' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1df9dd45-0796-4efd-9950-383e6c666a14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de046b35-8147-4ed0-811e-4b3758f26382' class='xr-var-data-in' type='checkbox'><label for='data-de046b35-8147-4ed0-811e-4b3758f26382' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
               "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
-              "       13.2, 13.7, 14.2, 14.7])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a932f57a-5d21-4646-bc9d-3c6f245535a4' class='xr-section-summary-in' type='checkbox'  ><label for='section-a932f57a-5d21-4646-bc9d-3c6f245535a4' class='xr-section-summary' >Data variables: <span>(38)</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>c_sound</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.502e+03 1.502e+03 ... 1.498e+03</div><input id='attrs-0e9bf684-5b1f-4b1f-b9bd-c62e5914a05e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e9bf684-5b1f-4b1f-b9bd-c62e5914a05e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a887c99f-97d9-4fcf-a09d-d5a3c45c3342' class='xr-var-data-in' type='checkbox'><label for='data-a887c99f-97d9-4fcf-a09d-d5a3c45c3342' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Speed of Sound</dd><dt><span>standard_name :</span></dt><dd>speed_of_sound_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([1501.6843, 1502.032 , 1501.8505, 1501.5714, 1501.8607, 1502.4133,\n",
+              "       13.2, 13.7, 14.2, 14.7])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3b4a2cbd-1913-4b25-adc8-241ef70b99cc' class='xr-section-summary-in' type='checkbox'  ><label for='section-3b4a2cbd-1913-4b25-adc8-241ef70b99cc' class='xr-section-summary' >Data variables: <span>(38)</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>c_sound</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.502e+03 1.502e+03 ... 1.498e+03</div><input id='attrs-b32b75e7-7f14-4132-b8fd-4f130fb6bf8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b32b75e7-7f14-4132-b8fd-4f130fb6bf8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8a114e4-ea9c-40ff-9c18-bea68908a0ac' class='xr-var-data-in' type='checkbox'><label for='data-c8a114e4-ea9c-40ff-9c18-bea68908a0ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Speed of Sound</dd><dt><span>standard_name :</span></dt><dd>speed_of_sound_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([1501.6843, 1502.032 , 1501.8505, 1501.5714, 1501.8607, 1502.4133,\n",
               "       1502.8121, 1502.7344, 1502.8704, 1502.9467, 1502.883 , 1502.7606,\n",
               "       1502.6915, 1502.8214, 1502.8864, 1502.7937, 1502.6268, 1502.6473,\n",
               "       1502.4198, 1502.3577, 1501.9543, 1501.729 , 1501.32  , 1500.9684,\n",
@@ -2260,7 +2571,7 @@
               "       1499.5286, 1499.5846, 1499.6293, 1499.6262, 1499.6666, 1499.6971,\n",
               "       1499.6998, 1499.7269, 1499.7843, 1499.6895, 1499.7037, 1499.6376,\n",
               "       1499.4894, 1499.0636, 1499.0073, 1498.8967, 1498.8627, 1498.961 ,\n",
-              "       1498.8287, 1498.6285, 1498.472 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>14.49 14.59 14.54 ... 13.56 13.5</div><input id='attrs-e389d35a-f683-44a6-99bd-93380cd821b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e389d35a-f683-44a6-99bd-93380cd821b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a25e171-6518-412c-9a9c-35b718000676' class='xr-var-data-in' type='checkbox'><label for='data-9a25e171-6518-412c-9a9c-35b718000676' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd></dl></div><div class='xr-var-data'><pre>array([14.4871   , 14.592732 , 14.5369   , 14.450967 , 14.540566 ,\n",
+              "       1498.8287, 1498.6285, 1498.472 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>14.49 14.59 14.54 ... 13.56 13.5</div><input id='attrs-37bf28af-930c-4823-85fb-7c7dbaaa0523' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37bf28af-930c-4823-85fb-7c7dbaaa0523' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87779898-dbb3-4f53-a4bb-661fcafbfeb9' class='xr-var-data-in' type='checkbox'><label for='data-87779898-dbb3-4f53-a4bb-661fcafbfeb9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd></dl></div><div class='xr-var-data'><pre>array([14.4871   , 14.592732 , 14.5369   , 14.450967 , 14.540566 ,\n",
               "       14.712167 , 14.838034 , 14.812099 , 14.855833 , 14.879432 ,\n",
               "       14.860366 , 14.821934 , 14.799266 , 14.840433 , 14.8621   ,\n",
               "       14.833766 , 14.782434 , 14.788966 , 14.716966 , 14.695799 ,\n",
@@ -2296,7 +2607,7 @@
               "       13.860667 , 13.870465 , 13.876833 , 13.878232 , 13.884268 ,\n",
               "       13.907367 , 13.875599 , 13.875534 , 13.861733 , 13.8139   ,\n",
               "       13.689401 , 13.665034 , 13.632333 , 13.6227665, 13.651935 ,\n",
-              "       13.6164665, 13.5551   , 13.503766 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.712 9.699 9.685 ... 9.584 9.591</div><input id='attrs-2a458a4b-e91c-4f24-9662-4a6f05dc33e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a458a4b-e91c-4f24-9662-4a6f05dc33e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-455ce3f4-c117-4153-b79f-fd02f0721f52' class='xr-var-data-in' type='checkbox'><label for='data-455ce3f4-c117-4153-b79f-fd02f0721f52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>long_name :</span></dt><dd>Pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd></dl></div><div class='xr-var-data'><pre>array([9.712007 , 9.699074 , 9.685317 , 9.670219 , 9.65324  , 9.640334 ,\n",
+              "       13.6164665, 13.5551   , 13.503766 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.712 9.699 9.685 ... 9.584 9.591</div><input id='attrs-48a638e6-7bbd-4a32-83b1-0bb65f95437c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48a638e6-7bbd-4a32-83b1-0bb65f95437c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c430083-44d7-4da6-98da-c862556ceeb1' class='xr-var-data-in' type='checkbox'><label for='data-4c430083-44d7-4da6-98da-c862556ceeb1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>long_name :</span></dt><dd>Pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd></dl></div><div class='xr-var-data'><pre>array([9.712007 , 9.699074 , 9.685317 , 9.670219 , 9.65324  , 9.640334 ,\n",
               "       9.62429  , 9.608537 , 9.594397 , 9.576526 , 9.56048  , 9.541069 ,\n",
               "       9.524289 , 9.505187 , 9.486143 , 9.464264 , 9.44223  , 9.416344 ,\n",
               "       9.393453 , 9.367396 , 9.339387 , 9.305754 , 9.278394 , 9.245257 ,\n",
@@ -2326,7 +2637,7 @@
               "       9.35049  , 9.37106  , 9.393917 , 9.40948  , 9.428807 , 9.441616 ,\n",
               "       9.459889 , 9.474596 , 9.488944 , 9.495657 , 9.510249 , 9.520061 ,\n",
               "       9.530423 , 9.537613 , 9.546494 , 9.554764 , 9.561024 , 9.57158  ,\n",
-              "       9.579874 , 9.583782 , 9.591404 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.534 3.565 3.547 ... -197.1 -197.1</div><input id='attrs-6675907a-764b-4c6d-9b2b-1bfce60030a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6675907a-764b-4c6d-9b2b-1bfce60030a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f35fda8-28ce-4760-a49c-abf3e3fe2445' class='xr-var-data-in' type='checkbox'><label for='data-7f35fda8-28ce-4760-a49c-abf3e3fe2445' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>uT</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.53383756e+00,  3.56493616e+00,  3.54652500e+00,\n",
+              "       9.579874 , 9.583782 , 9.591404 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.534 3.565 3.547 ... -197.1 -197.1</div><input id='attrs-bf7e7243-1a59-4488-8832-c60ff8a99bf3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf7e7243-1a59-4488-8832-c60ff8a99bf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0209af49-64be-4a84-b7da-befa871dfc95' class='xr-var-data-in' type='checkbox'><label for='data-0209af49-64be-4a84-b7da-befa871dfc95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>uT</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.53383756e+00,  3.56493616e+00,  3.54652500e+00,\n",
               "         3.60746217e+00,  3.56795740e+00,  3.58543777e+00,\n",
               "         3.56357908e+00,  3.57667398e+00,  3.60632110e+00,\n",
               "         3.56949067e+00,  3.57479167e+00,  3.59876704e+00,\n",
@@ -2366,7 +2677,7 @@
               "        -1.97044174e+02, -1.97063873e+02, -1.97090515e+02,\n",
               "        -1.97129501e+02, -1.97007523e+02, -1.97017838e+02,\n",
               "        -1.97019165e+02, -1.97129166e+02, -1.97051849e+02,\n",
-              "        -1.97113190e+02, -1.97104507e+02, -1.97053848e+02]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.261 -1.263 -1.26 ... 9.714 9.712</div><input id='attrs-5660f62f-4bc7-4437-9336-fc2125a12873' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5660f62f-4bc7-4437-9336-fc2125a12873' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae198a49-8e0c-43e2-84cf-05b46db4c47b' class='xr-var-data-in' type='checkbox'><label for='data-ae198a49-8e0c-43e2-84cf-05b46db4c47b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-1.2608225 , -1.2632061 , -1.2602278 , -1.2620431 , -1.2610018 ,\n",
+              "        -1.97113190e+02, -1.97104507e+02, -1.97053848e+02]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.261 -1.263 -1.26 ... 9.714 9.712</div><input id='attrs-5f4ae212-02c8-4c87-a050-b67c850ba4e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f4ae212-02c8-4c87-a050-b67c850ba4e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05c6cca5-0232-4ab2-bbd1-5aaa9bc58833' class='xr-var-data-in' type='checkbox'><label for='data-05c6cca5-0232-4ab2-bbd1-5aaa9bc58833' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-1.2608225 , -1.2632061 , -1.2602278 , -1.2620431 , -1.2610018 ,\n",
               "        -1.2613868 , -1.2610568 , -1.2621608 , -1.2631991 , -1.2639122 ,\n",
               "        -1.2618904 , -1.258823  , -1.2596216 , -1.258702  , -1.2583325 ,\n",
               "        -1.2578007 , -1.2583394 , -1.2576339 , -1.2579147 , -1.2534361 ,\n",
@@ -2406,7 +2717,7 @@
               "         9.714537  ,  9.714841  ,  9.714376  ,  9.71848   ,  9.7165    ,\n",
               "         9.715717  ,  9.711741  ,  9.710465  ,  9.712621  ,  9.71337   ,\n",
               "         9.715622  ,  9.715989  ,  9.711598  ,  9.71219   ,  9.71021   ,\n",
-              "         9.712366  ,  9.7141695 ,  9.711616  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>batt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>16.48 16.48 16.48 ... 16.26 16.26</div><input id='attrs-cc0755d1-eac2-491e-928f-87d0c37109ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc0755d1-eac2-491e-928f-87d0c37109ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-567a13b3-7eb6-4554-92ac-a39a2c00f691' class='xr-var-data-in' type='checkbox'><label for='data-567a13b3-7eb6-4554-92ac-a39a2c00f691' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>V</dd><dt><span>long_name :</span></dt><dd>Battery Voltage</dd><dt><span>standard_name :</span></dt><dd>battery_voltage</dd></dl></div><div class='xr-var-data'><pre>array([16.481167, 16.478   , 16.478   , 16.477167, 16.481   , 16.484167,\n",
+              "         9.712366  ,  9.7141695 ,  9.711616  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>batt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>16.48 16.48 16.48 ... 16.26 16.26</div><input id='attrs-27f1f0c9-96da-44c6-8b20-968ffae2c366' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27f1f0c9-96da-44c6-8b20-968ffae2c366' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97799728-60ea-4956-a115-5a965ad8c337' class='xr-var-data-in' type='checkbox'><label for='data-97799728-60ea-4956-a115-5a965ad8c337' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>V</dd><dt><span>long_name :</span></dt><dd>Battery Voltage</dd><dt><span>standard_name :</span></dt><dd>battery_voltage</dd></dl></div><div class='xr-var-data'><pre>array([16.481167, 16.478   , 16.478   , 16.477167, 16.481   , 16.484167,\n",
               "       16.477167, 16.479834, 16.479166, 16.482666, 16.478167, 16.481668,\n",
               "       16.479668, 16.475334, 16.479668, 16.479   , 16.474   , 16.475334,\n",
               "       16.477667, 16.473167, 16.472168, 16.468334, 16.472334, 16.471169,\n",
@@ -2436,7 +2747,7 @@
               "       16.258333, 16.262335, 16.262169, 16.2575  , 16.261   , 16.260332,\n",
               "       16.25633 , 16.257998, 16.258333, 16.253334, 16.257998, 16.257332,\n",
               "       16.253166, 16.256998, 16.256998, 16.252666, 16.256998, 16.256998,\n",
-              "       16.252666, 16.256998, 16.256998], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_clock</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 20.0 20.0 ... 19.5 19.5 19.5</div><input id='attrs-0ea2a008-c7ed-404d-82e3-22b0a9cf1efd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ea2a008-c7ed-404d-82e3-22b0a9cf1efd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bbdbfa5-d964-49a4-9ac2-26a5234ec875' class='xr-var-data-in' type='checkbox'><label for='data-7bbdbfa5-d964-49a4-9ac2-26a5234ec875' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Internal Clock Temperature</dd></dl></div><div class='xr-var-data'><pre>array([20.      , 20.      , 20.      , 20.043333, 20.25    , 20.25    ,\n",
+              "       16.252666, 16.256998, 16.256998], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_clock</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 20.0 20.0 ... 19.5 19.5 19.5</div><input id='attrs-dff23bda-ea34-4f30-80df-3bc11bf51991' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dff23bda-ea34-4f30-80df-3bc11bf51991' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a56d309a-3ae9-4a7d-9109-1630603fd274' class='xr-var-data-in' type='checkbox'><label for='data-a56d309a-3ae9-4a7d-9109-1630603fd274' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Internal Clock Temperature</dd></dl></div><div class='xr-var-data'><pre>array([20.      , 20.      , 20.      , 20.043333, 20.25    , 20.25    ,\n",
               "       20.25    , 20.25    , 20.263334, 20.446667, 20.5     , 20.5     ,\n",
               "       20.5     , 20.5     , 20.5     , 20.5     , 20.5     , 20.5     ,\n",
               "       20.5     , 20.5     , 20.5     , 20.5     , 20.5     , 20.31    ,\n",
@@ -2466,7 +2777,7 @@
               "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.53    ,\n",
               "       19.696667, 19.75    , 19.75    , 19.75    , 19.75    , 19.75    ,\n",
               "       19.75    , 19.75    , 19.71    , 19.5     , 19.5     , 19.5     ,\n",
-              "       19.5     , 19.5     , 19.5     ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-404cc268-b828-4be2-9f0e-f5ea092a8e62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-404cc268-b828-4be2-9f0e-f5ea092a8e62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae2d2613-dfc7-49eb-90ec-4cc77daf5d9c' class='xr-var-data-in' type='checkbox'><label for='data-ae2d2613-dfc7-49eb-90ec-4cc77daf5d9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       19.5     , 19.5     , 19.5     ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-56767126-b3bf-4214-9852-3e93b5515b81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56767126-b3bf-4214-9852-3e93b5515b81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d00cda42-2fff-4fbe-a652-40ebd3ba09dd' class='xr-var-data-in' type='checkbox'><label for='data-d00cda42-2fff-4fbe-a652-40ebd3ba09dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
@@ -2476,7 +2787,7 @@
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.054e+09 1.054e+09 ... 1.054e+09</div><input id='attrs-07b270e1-76b1-4d7a-bb68-bd0976704d2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07b270e1-76b1-4d7a-bb68-bd0976704d2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f5c59a0-1323-4827-b779-7dc9bc5a7064' class='xr-var-data-in' type='checkbox'><label for='data-9f5c59a0-1323-4827-b779-7dc9bc5a7064' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.054e+09 1.054e+09 ... 1.054e+09</div><input id='attrs-eae82a28-b60e-442e-8ff3-fd0bb24d44d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eae82a28-b60e-442e-8ff3-fd0bb24d44d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9ffdb24-7662-4898-af69-a376bab61b47' class='xr-var-data-in' type='checkbox'><label for='data-d9ffdb24-7662-4898-af69-a376bab61b47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
               "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
               "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
               "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
@@ -2516,7 +2827,7 @@
               "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09, 1.05355699e+09,\n",
               "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09, 1.05355699e+09,\n",
               "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09, 1.05355699e+09,\n",
-              "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel</span></div><div class='xr-var-dims'>(dir, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2358 0.266 0.3007 ... nan nan nan</div><input id='attrs-80f9429f-e37d-463a-b260-bc3dce95522f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80f9429f-e37d-463a-b260-bc3dce95522f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc2060a2-f49a-4655-9ed5-6966a6b9a0c8' class='xr-var-data-in' type='checkbox'><label for='data-dc2060a2-f49a-4655-9ed5-6966a6b9a0c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.23582192,  0.2660148 ,  0.30069652, ..., -0.179669  ,\n",
+              "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel</span></div><div class='xr-var-dims'>(dir, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2358 0.266 0.3007 ... nan nan nan</div><input id='attrs-8cbf5ce6-785e-496c-9a83-5278d11016f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8cbf5ce6-785e-496c-9a83-5278d11016f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b590a17-70f1-4920-b790-2eaeda4f6441' class='xr-var-data-in' type='checkbox'><label for='data-4b590a17-70f1-4920-b790-2eaeda4f6441' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.23582192,  0.2660148 ,  0.30069652, ..., -0.179669  ,\n",
               "         -0.18383324, -0.17606331],\n",
               "        [ 0.25633767,  0.28601688,  0.3117814 , ..., -0.19580415,\n",
               "         -0.19696543, -0.20011853],\n",
@@ -2556,7 +2867,7 @@
               "        [        nan,         nan,         nan, ...,         nan,\n",
               "                 nan,         nan],\n",
               "        [        nan,         nan,         nan, ...,         nan,\n",
-              "                 nan,         nan]]], shape=(4, 28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>79.95 80.28 80.69 ... nan nan nan</div><input id='attrs-835a0dc2-bd02-46dc-b855-d47c12c9c279' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-835a0dc2-bd02-46dc-b855-d47c12c9c279' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d2b5c66-6ad4-4add-af31-56e1b8ffedc7' class='xr-var-data-in' type='checkbox'><label for='data-1d2b5c66-6ad4-4add-af31-56e1b8ffedc7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[[79.94666 , 80.28167 , 80.68667 , ..., 81.721664, 81.80334 ,\n",
+              "                 nan,         nan]]], shape=(4, 28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>79.95 80.28 80.69 ... nan nan nan</div><input id='attrs-a840169e-c960-429c-a1a2-5cfe8e16f18c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a840169e-c960-429c-a1a2-5cfe8e16f18c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0cdd4c3-7edf-42b6-b475-cc0f45110d34' class='xr-var-data-in' type='checkbox'><label for='data-f0cdd4c3-7edf-42b6-b475-cc0f45110d34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[[79.94666 , 80.28167 , 80.68667 , ..., 81.721664, 81.80334 ,\n",
               "         81.68667 ],\n",
               "        [75.535   , 76.043335, 76.66167 , ..., 77.62666 , 77.73    ,\n",
               "         77.528336],\n",
@@ -2596,7 +2907,7 @@
               "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
               "               nan],\n",
               "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
-              "               nan]]], shape=(4, 28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>92.59 92.61 92.47 ... 0.0 0.0 0.0</div><input id='attrs-286a83dd-1148-46cb-9de7-e2ae8ece0f95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-286a83dd-1148-46cb-9de7-e2ae8ece0f95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3d168c9-4293-4ab6-a0b1-2e9f011125be' class='xr-var-data-in' type='checkbox'><label for='data-d3d168c9-4293-4ab6-a0b1-2e9f011125be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>%</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[[92.58667 , 92.613335, 92.47    , ..., 91.933334, 91.96667 ,\n",
+              "               nan]]], shape=(4, 28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>92.59 92.61 92.47 ... 0.0 0.0 0.0</div><input id='attrs-7886660f-e1cd-46eb-958d-c7a6fcef0258' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7886660f-e1cd-46eb-958d-c7a6fcef0258' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8ae3655-6d74-4e11-bf04-386faa10e070' class='xr-var-data-in' type='checkbox'><label for='data-d8ae3655-6d74-4e11-bf04-386faa10e070' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>%</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[[92.58667 , 92.613335, 92.47    , ..., 91.933334, 91.96667 ,\n",
               "         92.06333 ],\n",
               "        [96.236664, 96.526665, 96.206665, ..., 96.00667 , 96.3     ,\n",
               "         96.03333 ],\n",
@@ -2636,7 +2947,7 @@
               "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
               "          0.      ],\n",
               "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
-              "          0.      ]]], shape=(4, 28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat</span></div><div class='xr-var-dims'>(earth, inst, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.05743 0.05697 ... 0.9937 0.9937</div><input id='attrs-f571b318-e797-496a-b128-02af5fbd8d46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f571b318-e797-496a-b128-02af5fbd8d46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cb3b78f-ae14-4dba-b173-83f31056980d' class='xr-var-data-in' type='checkbox'><label for='data-2cb3b78f-ae14-4dba-b173-83f31056980d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[ 5.74317947e-02,  5.69723397e-02,  5.82992062e-02, ...,\n",
+              "          0.      ]]], shape=(4, 28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat</span></div><div class='xr-var-dims'>(earth, inst, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.05743 0.05697 ... 0.9937 0.9937</div><input id='attrs-7927bdc2-e3e8-4494-aab1-f224289a498c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7927bdc2-e3e8-4494-aab1-f224289a498c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c535996a-dc3a-49cd-b8c4-b4b34b5b68ea' class='xr-var-data-in' type='checkbox'><label for='data-c535996a-dc3a-49cd-b8c4-b4b34b5b68ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[ 5.74317947e-02,  5.69723397e-02,  5.82992062e-02, ...,\n",
               "          5.81927113e-02,  5.85613623e-02,  5.85512854e-02],\n",
               "        [ 9.98300374e-01,  9.98323679e-01,  9.98248577e-01, ...,\n",
               "          9.98254061e-01,  9.98234987e-01,  9.98234689e-01],\n",
@@ -2656,7 +2967,7 @@
               "          7.35414820e-03,  7.39390310e-03,  7.38611678e-03],\n",
               "        [ 9.91627276e-01,  9.91604209e-01,  9.91649806e-01, ...,\n",
               "          9.93667483e-01,  9.93692815e-01,  9.93687749e-01]]],\n",
-              "      shape=(3, 3, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.000807 0.0008203 ... -0.002598</div><input id='attrs-f5f72cc0-816a-4bd5-91a4-3554e0011ccd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5f72cc0-816a-4bd5-91a4-3554e0011ccd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53b865f0-230e-4714-ba59-680e4cf00b61' class='xr-var-data-in' type='checkbox'><label for='data-53b865f0-230e-4714-ba59-680e4cf00b61' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.00080699,  0.00082028,  0.00085015,  0.0008093 ,  0.00077764,\n",
+              "      shape=(3, 3, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.000807 0.0008203 ... -0.002598</div><input id='attrs-e4161be7-28db-4751-a1bc-535ab9f7986f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4161be7-28db-4751-a1bc-535ab9f7986f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a2510e5-7429-4d3b-a31c-53f9fbb3c5c1' class='xr-var-data-in' type='checkbox'><label for='data-7a2510e5-7429-4d3b-a31c-53f9fbb3c5c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.00080699,  0.00082028,  0.00085015,  0.0008093 ,  0.00077764,\n",
               "         0.00076247,  0.00084005,  0.00080013,  0.00073725,  0.00069978,\n",
               "         0.00068869,  0.000708  ,  0.00070397,  0.00064101,  0.0007507 ,\n",
               "         0.00071757,  0.00060209,  0.00062077,  0.00062501,  0.0005675 ,\n",
@@ -2696,7 +3007,7 @@
               "        -0.00263345, -0.00258136, -0.00250975, -0.00261717, -0.00264321,\n",
               "        -0.00260741, -0.00261066, -0.00250649, -0.00248371, -0.0026074 ,\n",
               "        -0.00260415, -0.00260415, -0.00250324, -0.00259764, -0.002513  ,\n",
-              "        -0.00256509, -0.00253904, -0.00259764]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions</span></div><div class='xr-var-dims'>(q, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6243 ... 0.7784 0.7784</div><input id='attrs-45a6a8d5-3fef-4a8f-866f-3a995f2a7b59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45a6a8d5-3fef-4a8f-866f-3a995f2a7b59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0994d618-54bb-41b5-a0d3-170b89de0800' class='xr-var-data-in' type='checkbox'><label for='data-0994d618-54bb-41b5-a0d3-170b89de0800' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6245074 ,  0.624316  ,  0.6248463 ,  0.6245108 ,  0.6247046 ,\n",
+              "        -0.00256509, -0.00253904, -0.00259764]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions</span></div><div class='xr-var-dims'>(q, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6243 ... 0.7784 0.7784</div><input id='attrs-c91837bd-abda-4fcb-9531-7f5f863c1252' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c91837bd-abda-4fcb-9531-7f5f863c1252' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-068df305-85f8-4479-bef8-6f2db0593ce7' class='xr-var-data-in' type='checkbox'><label for='data-068df305-85f8-4479-bef8-6f2db0593ce7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6245074 ,  0.624316  ,  0.6248463 ,  0.6245108 ,  0.6247046 ,\n",
               "         0.62467265,  0.62460417,  0.62476116,  0.6245991 ,  0.6246464 ,\n",
               "         0.624686  ,  0.6249721 ,  0.6249648 ,  0.6250649 ,  0.62494904,\n",
               "         0.62500936,  0.6250884 ,  0.6250855 ,  0.6253171 ,  0.6254035 ,\n",
@@ -2736,7 +3047,7 @@
               "         0.7785521 ,  0.77869254,  0.77849793,  0.7787016 ,  0.77872854,\n",
               "         0.77860415,  0.7784391 ,  0.7783881 ,  0.7785563 ,  0.77852774,\n",
               "         0.77856874,  0.77847373,  0.7784385 ,  0.7782882 ,  0.778279  ,\n",
-              "         0.778462  ,  0.77835196,  0.77835387]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_press</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>12.8 12.8 12.8 ... 12.0 12.0 12.0</div><input id='attrs-80807e6c-4ad1-4cb5-a7b4-432d16d0cb72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80807e6c-4ad1-4cb5-a7b4-432d16d0cb72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d10a642e-69bf-4c03-a5c3-06929c1a6332' class='xr-var-data-in' type='checkbox'><label for='data-d10a642e-69bf-4c03-a5c3-06929c1a6332' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Pressure Sensor Temperature</dd></dl></div><div class='xr-var-data'><pre>array([12.800002 , 12.800002 , 12.800002 , 12.800002 , 12.800002 ,\n",
+              "         0.778462  ,  0.77835196,  0.77835387]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_press</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>12.8 12.8 12.8 ... 12.0 12.0 12.0</div><input id='attrs-4bbd77b5-135c-447a-83a7-79e4db957a93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bbd77b5-135c-447a-83a7-79e4db957a93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3bda40f-42d8-47af-bba1-0e616eb52c49' class='xr-var-data-in' type='checkbox'><label for='data-f3bda40f-42d8-47af-bba1-0e616eb52c49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Pressure Sensor Temperature</dd></dl></div><div class='xr-var-data'><pre>array([12.800002 , 12.800002 , 12.800002 , 12.800002 , 12.800002 ,\n",
               "       12.966666 , 13.       , 13.050666 , 13.199998 , 13.199998 ,\n",
               "       13.199998 , 13.199998 , 13.199998 , 13.199998 , 13.199998 ,\n",
               "       13.199998 , 13.199998 , 13.199998 , 13.176665 , 13.       ,\n",
@@ -2772,7 +3083,7 @@
               "       12.199998 , 12.199998 , 12.199998 , 12.199998 , 12.199998 ,\n",
               "       12.199998 , 12.199998 , 12.199998 , 12.199998 , 12.199998 ,\n",
               "       12.1119995, 12.       , 12.       , 12.       , 12.       ,\n",
-              "       12.       , 12.       , 12.       ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>244.0 244.0 244.0 ... 246.0 246.0</div><input id='attrs-da38a2c5-c0d7-45bf-ace1-9a9ae7cc141c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da38a2c5-c0d7-45bf-ace1-9a9ae7cc141c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90901631-17a9-41e8-b887-81a76cadf770' class='xr-var-data-in' type='checkbox'><label for='data-90901631-17a9-41e8-b887-81a76cadf770' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([244.04333, 243.96   , 244.04666, 244.12334, 244.30667, 244.32   ,\n",
+              "       12.       , 12.       , 12.       ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>244.0 244.0 244.0 ... 246.0 246.0</div><input id='attrs-3d1d8f9b-4438-46f6-a16b-d4f0d4ebcd67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d1d8f9b-4438-46f6-a16b-d4f0d4ebcd67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-960fa7a7-b8d0-4d54-bc7b-2043473cda9b' class='xr-var-data-in' type='checkbox'><label for='data-960fa7a7-b8d0-4d54-bc7b-2043473cda9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([244.04333, 243.96   , 244.04666, 244.12334, 244.30667, 244.32   ,\n",
               "       244.04   , 243.95667, 243.72   , 243.45334, 243.46   , 243.49333,\n",
               "       243.49667, 243.69667, 243.80333, 243.78334, 243.81667, 244.     ,\n",
               "       244.27333, 244.39667, 244.58333, 244.73334, 244.95334, 245.     ,\n",
@@ -2802,7 +3113,7 @@
               "       245.95667, 245.94   , 245.93   , 245.95667, 245.95   , 245.95334,\n",
               "       245.94667, 245.96   , 245.96333, 245.97333, 245.96666, 245.96   ,\n",
               "       245.97667, 245.99   , 245.98   , 245.98666, 245.98666, 245.98334,\n",
-              "       245.99   , 245.98334, 245.99   ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.589 3.576 3.611 ... -197.1 -197.1</div><input id='attrs-2aa34c31-3361-49b7-a9c5-8ab6c267b27f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2aa34c31-3361-49b7-a9c5-8ab6c267b27f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-731bdd99-c0c2-4995-8df5-99a7b6b8cba5' class='xr-var-data-in' type='checkbox'><label for='data-731bdd99-c0c2-4995-8df5-99a7b6b8cba5' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>uT</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.5890043e+00,  3.5764265e+00,  3.6108000e+00,  3.5779481e+00,\n",
+              "       245.99   , 245.98334, 245.99   ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.589 3.576 3.611 ... -197.1 -197.1</div><input id='attrs-5cabfb18-add0-45e4-abea-54bee369d814' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cabfb18-add0-45e4-abea-54bee369d814' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a85da142-666d-41b7-a2c2-43b17c277b0a' class='xr-var-data-in' type='checkbox'><label for='data-a85da142-666d-41b7-a2c2-43b17c277b0a' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>uT</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.5890043e+00,  3.5764265e+00,  3.6108000e+00,  3.5779481e+00,\n",
               "         3.6116719e+00,  3.5757926e+00,  3.5947008e+00,  3.6243417e+00,\n",
               "         3.6057498e+00,  3.5963907e+00,  3.5682683e+00,  3.5830538e+00,\n",
               "         3.6165168e+00,  3.5789921e+00,  3.5747981e+00,  3.5690453e+00,\n",
@@ -2842,7 +3153,7 @@
               "        -1.9710718e+02, -1.9718983e+02, -1.9715218e+02, -1.9712483e+02,\n",
               "        -1.9706255e+02, -1.9714519e+02, -1.9712418e+02, -1.9705786e+02,\n",
               "        -1.9708685e+02, -1.9711749e+02, -1.9707716e+02, -1.9707919e+02,\n",
-              "        -1.9719186e+02, -1.9713850e+02, -1.9714883e+02]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.262 -1.263 -1.26 ... 9.714 9.713</div><input id='attrs-8a8419d8-2c69-41fe-8e75-29534c04e382' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a8419d8-2c69-41fe-8e75-29534c04e382' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26ead8e4-f4aa-4e9f-9c2b-b791e066a12a' class='xr-var-data-in' type='checkbox'><label for='data-26ead8e4-f4aa-4e9f-9c2b-b791e066a12a' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-1.2623771 , -1.2625197 , -1.2600151 , -1.2631888 , -1.2615377 ,\n",
+              "        -1.9719186e+02, -1.9713850e+02, -1.9714883e+02]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.262 -1.263 -1.26 ... 9.714 9.713</div><input id='attrs-aa9ba28f-ac9b-41d2-959a-b3545ba0e68e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa9ba28f-ac9b-41d2-959a-b3545ba0e68e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0d32089-8abf-4343-a912-31d16b79d88c' class='xr-var-data-in' type='checkbox'><label for='data-e0d32089-8abf-4343-a912-31d16b79d88c' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-1.2623771 , -1.2625197 , -1.2600151 , -1.2631888 , -1.2615377 ,\n",
               "        -1.2616537 , -1.262574  , -1.2627327 , -1.2632962 , -1.2634871 ,\n",
               "        -1.2617764 , -1.2599101 , -1.2592376 , -1.2577692 , -1.259011  ,\n",
               "        -1.2584039 , -1.2585176 , -1.2577502 , -1.2569212 , -1.2552022 ,\n",
@@ -2882,7 +3193,7 @@
               "         9.714553  ,  9.715957  ,  9.7148075 ,  9.717874  ,  9.716309  ,\n",
               "         9.715032  ,  9.7090435 ,  9.711168  ,  9.7130995 ,  9.713355  ,\n",
               "         9.715256  ,  9.714936  ,  9.7148075 ,  9.711726  ,  9.711886  ,\n",
-              "         9.713675  ,  9.714042  ,  9.712781  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-c1489d78-e4f8-4ed9-a39b-16d34eef0607' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1489d78-e4f8-4ed9-a39b-16d34eef0607' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-979eb0b5-c11d-4941-91e7-eaed1428ac1b' class='xr-var-data-in' type='checkbox'><label for='data-979eb0b5-c11d-4941-91e7-eaed1428ac1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "         9.713675  ,  9.714042  ,  9.712781  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-db32bb0d-1e9d-47b5-9c24-d0d6cc98165c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db32bb0d-1e9d-47b5-9c24-d0d6cc98165c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35cc17ec-d734-4947-b6d1-1d6ee3be5596' class='xr-var-data-in' type='checkbox'><label for='data-35cc17ec-d734-4947-b6d1-1d6ee3be5596' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
@@ -2892,7 +3203,7 @@
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.054e+09 1.054e+09 ... 1.054e+09</div><input id='attrs-52723004-2e23-4fbc-95bf-e29b29e5059f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52723004-2e23-4fbc-95bf-e29b29e5059f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dabc074-db2c-43f3-a21f-ba8e89d48e8c' class='xr-var-data-in' type='checkbox'><label for='data-4dabc074-db2c-43f3-a21f-ba8e89d48e8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.054e+09 1.054e+09 ... 1.054e+09</div><input id='attrs-67b347ee-6e74-402a-be73-fbc682090cc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67b347ee-6e74-402a-be73-fbc682090cc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f78a8fc3-4aed-4e9a-96f0-3487882686f8' class='xr-var-data-in' type='checkbox'><label for='data-f78a8fc3-4aed-4e9a-96f0-3487882686f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
               "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
               "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
               "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
@@ -2932,7 +3243,7 @@
               "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
               "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
               "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0006333 -0.004143 ... nan nan</div><input id='attrs-ac1abc66-620f-46c9-9a93-3075662d1ab6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac1abc66-620f-46c9-9a93-3075662d1ab6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7234876-f33b-4775-8583-4d0c8554cecb' class='xr-var-data-in' type='checkbox'><label for='data-f7234876-f33b-4775-8583-4d0c8554cecb' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.00063333, -0.00414333, -0.00776667, ..., -0.01952   ,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0006333 -0.004143 ... nan nan</div><input id='attrs-872e1f08-6d0c-4ccc-bbf4-5e6fe7b74f6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-872e1f08-6d0c-4ccc-bbf4-5e6fe7b74f6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87a3f19e-6f7d-43be-b97e-f450f2839a4e' class='xr-var-data-in' type='checkbox'><label for='data-87a3f19e-6f7d-43be-b97e-f450f2839a4e' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.00063333, -0.00414333, -0.00776667, ..., -0.01952   ,\n",
               "        -0.02035667, -0.01573333],\n",
               "       [ 0.02268667,  0.01564333,  0.01504   , ..., -0.00309667,\n",
               "        -0.00658667, -0.00238   ],\n",
@@ -2944,7 +3255,7 @@
               "       [        nan,         nan,         nan, ...,         nan,\n",
               "                nan,         nan],\n",
               "       [        nan,         nan,         nan, ...,         nan,\n",
-              "                nan,         nan]], shape=(28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>80.08 80.44 80.75 ... nan nan nan</div><input id='attrs-1207ec72-09c2-4b85-ac67-d272dcc3b499' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1207ec72-09c2-4b85-ac67-d272dcc3b499' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3d3b874-816d-4bc9-b9c1-cac5234ab087' class='xr-var-data-in' type='checkbox'><label for='data-d3d3b874-816d-4bc9-b9c1-cac5234ab087' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[80.085   , 80.43833 , 80.75166 , ..., 81.761665, 81.86    ,\n",
+              "                nan,         nan]], shape=(28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>80.08 80.44 80.75 ... nan nan nan</div><input id='attrs-b584684f-4491-483b-ae52-30b70abbc39d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b584684f-4491-483b-ae52-30b70abbc39d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dba9b6d3-975e-4157-ba14-fe6f09b5489c' class='xr-var-data-in' type='checkbox'><label for='data-dba9b6d3-975e-4157-ba14-fe6f09b5489c' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[80.085   , 80.43833 , 80.75166 , ..., 81.761665, 81.86    ,\n",
               "        81.745   ],\n",
               "       [76.05    , 76.60333 , 77.066666, ..., 78.23    , 78.21667 ,\n",
               "        78.045   ],\n",
@@ -2956,7 +3267,7 @@
               "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
               "              nan],\n",
               "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
-              "              nan]], shape=(28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>93.52 94.19 93.97 ... 0.0 0.0 0.0</div><input id='attrs-03ad1167-0875-4cf7-975a-6bbb0d2a724a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03ad1167-0875-4cf7-975a-6bbb0d2a724a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ed62442-4022-403a-b87a-5c6c1de5cf10' class='xr-var-data-in' type='checkbox'><label for='data-8ed62442-4022-403a-b87a-5c6c1de5cf10' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[93.51667 , 94.18667 , 93.97    , ..., 92.276665, 92.09    ,\n",
+              "              nan]], shape=(28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>93.52 94.19 93.97 ... 0.0 0.0 0.0</div><input id='attrs-82447e80-ab51-4586-a72f-bd42278f7838' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82447e80-ab51-4586-a72f-bd42278f7838' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ea625e7-1eb0-4c73-a07a-4e0b0829f53c' class='xr-var-data-in' type='checkbox'><label for='data-3ea625e7-1eb0-4c73-a07a-4e0b0829f53c' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[93.51667 , 94.18667 , 93.97    , ..., 92.276665, 92.09    ,\n",
               "        92.61667 ],\n",
               "       [96.75    , 96.403336, 96.32    , ..., 96.433334, 96.89    ,\n",
               "        96.57667 ],\n",
@@ -2968,7 +3279,7 @@
               "       [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
               "         0.      ],\n",
               "       [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
-              "         0.      ]], shape=(28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat_b5</span></div><div class='xr-var-dims'>(earth, inst, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2166 -0.217 ... 0.9937 0.9937</div><input id='attrs-5e4433c1-a5c9-42b2-9362-7d86df0c9815' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e4433c1-a5c9-42b2-9362-7d86df0c9815' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83522526-79fc-4223-8c0c-267c8e027356' class='xr-var-data-in' type='checkbox'><label for='data-83522526-79fc-4223-8c0c-267c8e027356' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[-2.16565624e-01, -2.17020363e-01, -2.15714216e-01, ...,\n",
+              "         0.      ]], shape=(28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat_b5</span></div><div class='xr-var-dims'>(earth, inst, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2166 -0.217 ... 0.9937 0.9937</div><input id='attrs-f9775a63-f9e3-46a1-9fb0-fc494fca3815' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9775a63-f9e3-46a1-9fb0-fc494fca3815' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d85fac1-5b7a-44d7-9632-7cb899ea91a4' class='xr-var-data-in' type='checkbox'><label for='data-6d85fac1-5b7a-44d7-9632-7cb899ea91a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[-2.16565624e-01, -2.17020363e-01, -2.15714216e-01, ...,\n",
               "         -2.15817824e-01, -2.15457186e-01, -2.15469748e-01],\n",
               "        [-9.68014121e-01, -9.67880666e-01, -9.68221545e-01, ...,\n",
               "         -9.70180333e-01, -9.70283389e-01, -9.70276892e-01],\n",
@@ -2988,7 +3299,7 @@
               "         -1.12357967e-01, -1.12130813e-01, -1.12177916e-01],\n",
               "        [ 9.91627216e-01,  9.91603792e-01,  9.91649806e-01, ...,\n",
               "          9.93667185e-01,  9.93692756e-01,  9.93687451e-01]]],\n",
-              "      shape=(3, 3, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0008123 0.0008472 ... -0.002637</div><input id='attrs-d7173144-8398-40be-bd9d-dde1b7389737' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7173144-8398-40be-bd9d-dde1b7389737' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb4b2283-0ff2-44f1-b251-ed0b82c4cbce' class='xr-var-data-in' type='checkbox'><label for='data-bb4b2283-0ff2-44f1-b251-ed0b82c4cbce' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.00081228,  0.00084717,  0.00085335,  0.00075436,  0.00084513,\n",
+              "      shape=(3, 3, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0008123 0.0008472 ... -0.002637</div><input id='attrs-51119893-9cf9-4c8c-a415-5fad2a67ed1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51119893-9cf9-4c8c-a415-5fad2a67ed1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2301e1b-e8bf-47b8-a963-00abf0bb6b07' class='xr-var-data-in' type='checkbox'><label for='data-b2301e1b-e8bf-47b8-a963-00abf0bb6b07' 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>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.00081228,  0.00084717,  0.00085335,  0.00075436,  0.00084513,\n",
               "         0.00085451,  0.00073719,  0.00067843,  0.00075248,  0.00074199,\n",
               "         0.00070569,  0.00065896,  0.0006914 ,  0.00069842,  0.00074138,\n",
               "         0.0006676 ,  0.00060215,  0.00059847,  0.0006675 ,  0.0006136 ,\n",
@@ -3028,7 +3339,7 @@
               "        -0.00265949, -0.00270831, -0.00258787, -0.0025423 , -0.00262368,\n",
               "        -0.00264647, -0.00268879, -0.00251626, -0.00256183, -0.00255207,\n",
               "        -0.00251626, -0.00251626, -0.00249998, -0.00248371, -0.0024479 ,\n",
-              "        -0.00254881, -0.00254881, -0.0026367 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions_b5</span></div><div class='xr-var-dims'>(q, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6243 ... 0.7784 0.7784</div><input id='attrs-b39bd1a7-c5aa-4350-abf6-a52d0d9b0342' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b39bd1a7-c5aa-4350-abf6-a52d0d9b0342' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2805d9de-f37e-4513-91bb-60faa10fcdd8' class='xr-var-data-in' type='checkbox'><label for='data-2805d9de-f37e-4513-91bb-60faa10fcdd8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6245025 ,  0.62430865,  0.62484366,  0.62450564,  0.624701  ,\n",
+              "        -0.00254881, -0.00254881, -0.0026367 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions_b5</span></div><div class='xr-var-dims'>(q, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6243 ... 0.7784 0.7784</div><input id='attrs-f85c9387-7a8c-40cd-b634-04ec6b044a9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f85c9387-7a8c-40cd-b634-04ec6b044a9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0d048c3-e8a8-4622-8c5d-35c39736f95c' class='xr-var-data-in' type='checkbox'><label for='data-d0d048c3-e8a8-4622-8c5d-35c39736f95c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6245025 ,  0.62430865,  0.62484366,  0.62450564,  0.624701  ,\n",
               "         0.62466866,  0.62460196,  0.6247584 ,  0.62459546,  0.62464297,\n",
               "         0.6246826 ,  0.62496835,  0.6249581 ,  0.6250585 ,  0.62494546,\n",
               "         0.6250052 ,  0.62508506,  0.62507963,  0.6253132 ,  0.6254015 ,\n",
@@ -3068,7 +3379,7 @@
               "         0.77855694,  0.778695  ,  0.77849764,  0.7787041 ,  0.77873075,\n",
               "         0.7786052 ,  0.7784392 ,  0.7783923 ,  0.77855927,  0.77852917,\n",
               "         0.7785722 ,  0.77847767,  0.77844226,  0.77829295,  0.7782816 ,\n",
-              "         0.77846414,  0.778354  ,  0.77835685]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>65.0 65.0 65.0 ... 65.0 65.0 65.0</div><input id='attrs-ac9904c0-7c54-436e-ae3f-01105ec4b6ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac9904c0-7c54-436e-ae3f-01105ec4b6ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0044892b-bf52-4cea-a990-44d519ed1609' class='xr-var-data-in' type='checkbox'><label for='data-0044892b-bf52-4cea-a990-44d519ed1609' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
+              "         0.77846414,  0.778354  ,  0.77835685]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>65.0 65.0 65.0 ... 65.0 65.0 65.0</div><input id='attrs-855a7b1b-52a3-4b23-bbab-7fc8fec14b35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-855a7b1b-52a3-4b23-bbab-7fc8fec14b35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79f36459-4d92-4bdc-8fc6-fe135387ea36' class='xr-var-data-in' type='checkbox'><label for='data-79f36459-4d92-4bdc-8fc6-fe135387ea36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
               "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
               "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
               "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
@@ -3082,7 +3393,7 @@
               "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
               "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
               "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
-              "       65.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low_volt_skip</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-530600cd-d334-468f-b609-aa2995780efd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-530600cd-d334-468f-b609-aa2995780efd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4201c682-780a-4c9b-bcdb-91bea8d76fa6' class='xr-var-data-in' type='checkbox'><label for='data-4201c682-780a-4c9b-bcdb-91bea8d76fa6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       65.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low_volt_skip</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-4b14a726-83ae-4e1c-a9d6-d3d4103065ac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4b14a726-83ae-4e1c-a9d6-d3d4103065ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8b8fa72-ea49-4fdd-80d3-e4d4a469bbdf' class='xr-var-data-in' type='checkbox'><label for='data-f8b8fa72-ea49-4fdd-80d3-e4d4a469bbdf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
@@ -3092,7 +3403,7 @@
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>active_config</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e880d741-352f-4824-8fdf-574661b1157a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e880d741-352f-4824-8fdf-574661b1157a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97f17196-9934-41d3-84eb-09808b171b41' class='xr-var-data-in' type='checkbox'><label for='data-97f17196-9934-41d3-84eb-09808b171b41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>active_config</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-9f54d1ed-1c34-4d1a-b580-2afdb7263fe5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f54d1ed-1c34-4d1a-b580-2afdb7263fe5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-941e9596-3100-4765-b6ca-41f2b73c9dfc' class='xr-var-data-in' type='checkbox'><label for='data-941e9596-3100-4765-b6ca-41f2b73c9dfc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
@@ -3102,7 +3413,7 @@
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>telemetry_data</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-5421ce6b-1e96-439f-8a08-d278b40a3c44' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5421ce6b-1e96-439f-8a08-d278b40a3c44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc9df836-e7c1-47d7-a6dc-665c75d077b6' class='xr-var-data-in' type='checkbox'><label for='data-cc9df836-e7c1-47d7-a6dc-665c75d077b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>telemetry_data</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-a557691d-46e7-487d-902e-4c04855a3e80' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a557691d-46e7-487d-902e-4c04855a3e80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1304fd63-6631-4664-bdf3-f88579e25522' class='xr-var-data-in' type='checkbox'><label for='data-1304fd63-6631-4664-bdf3-f88579e25522' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
@@ -3112,7 +3423,7 @@
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
               "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>boost_running</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.1267 0.1333 0.13 ... 0.22 0.22</div><input id='attrs-e6d26a7e-dbf1-4e8b-b5c5-e7e625fbf25b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e6d26a7e-dbf1-4e8b-b5c5-e7e625fbf25b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49a0c93a-7544-4e43-a887-660a21e44663' class='xr-var-data-in' type='checkbox'><label for='data-49a0c93a-7544-4e43-a887-660a21e44663' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.12666667, 0.13333334, 0.13      , 0.13333334, 0.13      ,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>boost_running</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.1267 0.1333 0.13 ... 0.22 0.22</div><input id='attrs-622c9bf7-0bd7-409d-a1eb-524af68b1655' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-622c9bf7-0bd7-409d-a1eb-524af68b1655' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8710ec6d-146b-4a88-9f63-a637e916a253' class='xr-var-data-in' type='checkbox'><label for='data-8710ec6d-146b-4a88-9f63-a637e916a253' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.12666667, 0.13333334, 0.13      , 0.13333334, 0.13      ,\n",
               "       0.13      , 0.13      , 0.11666667, 0.12333333, 0.11666667,\n",
               "       0.11333334, 0.11      , 0.11      , 0.11333334, 0.11666667,\n",
               "       0.11      , 0.11333334, 0.11333334, 0.11333334, 0.12333333,\n",
@@ -3148,7 +3459,7 @@
               "       0.22666667, 0.22      , 0.22      , 0.22666667, 0.22      ,\n",
               "       0.22      , 0.22666667, 0.22      , 0.22      , 0.22666667,\n",
               "       0.22      , 0.22      , 0.22666667, 0.22      , 0.22      ,\n",
-              "       0.22666667, 0.22      , 0.22      ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.287 3.261 3.337 ... 3.352 3.352</div><input id='attrs-ee6c7c13-5318-4806-ad24-22ffe79846c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee6c7c13-5318-4806-ad24-22ffe79846c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d46d7a3-9016-4cc3-aaa6-71f6a1560d55' class='xr-var-data-in' type='checkbox'><label for='data-1d46d7a3-9016-4cc3-aaa6-71f6a1560d55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Heading</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd></dl></div><div class='xr-var-data'><pre>array([3.287083 , 3.2605155, 3.3369133, 3.2892823, 3.3165808, 3.3119812,\n",
+              "       0.22666667, 0.22      , 0.22      ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.287 3.261 3.337 ... 3.352 3.352</div><input id='attrs-f24a2912-d7f6-4f49-92c1-446daf43f979' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f24a2912-d7f6-4f49-92c1-446daf43f979' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c18d2f9-191f-4ca1-8c0e-b4fb8431187e' class='xr-var-data-in' type='checkbox'><label for='data-6c18d2f9-191f-4ca1-8c0e-b4fb8431187e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Heading</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd></dl></div><div class='xr-var-data'><pre>array([3.287083 , 3.2605155, 3.3369133, 3.2892823, 3.3165808, 3.3119812,\n",
               "       3.3027983, 3.3258302, 3.3029814, 3.3100154, 3.3152144, 3.3549793,\n",
               "       3.3538957, 3.3682969, 3.3522127, 3.3599124, 3.3716784, 3.370829 ,\n",
               "       3.404896 , 3.4170458, 3.4101129, 3.4259632, 3.3813803, 3.352863 ,\n",
@@ -3178,7 +3489,7 @@
               "       3.2660322, 3.2617817, 3.3116815, 3.314548 , 3.289132 , 3.3249977,\n",
               "       3.287216 , 3.282166 , 3.306248 , 3.3363798, 3.3452635, 3.314365 ,\n",
               "       3.3198478, 3.3122149, 3.3298814, 3.3361466, 3.3632295, 3.3652124,\n",
-              "       3.331114 , 3.352297 , 3.351696 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.05523 -0.07217 ... -0.0429</div><input id='attrs-c5a9fc28-31a5-4b78-bf31-d79210ec1dd4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5a9fc28-31a5-4b78-bf31-d79210ec1dd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-549b7c47-68e6-4efb-a142-3cdbc96f31c2' class='xr-var-data-in' type='checkbox'><label for='data-549b7c47-68e6-4efb-a142-3cdbc96f31c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch</dd></dl></div><div class='xr-var-data'><pre>array([-0.05523333, -0.07216667, -0.05975001, -0.0719    , -0.06111666,\n",
+              "       3.331114 , 3.352297 , 3.351696 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.05523 -0.07217 ... -0.0429</div><input id='attrs-8c59373c-92cf-4463-a1f4-4add26e74992' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c59373c-92cf-4463-a1f4-4add26e74992' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58cca34d-661e-4ea3-aa5c-c4d05d93e457' class='xr-var-data-in' type='checkbox'><label for='data-58cca34d-661e-4ea3-aa5c-c4d05d93e457' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch</dd></dl></div><div class='xr-var-data'><pre>array([-0.05523333, -0.07216667, -0.05975001, -0.0719    , -0.06111666,\n",
               "       -0.05995   , -0.07213333, -0.07148333, -0.07696667, -0.08181667,\n",
               "       -0.0731    , -0.0579    , -0.05488333, -0.05605   , -0.05533333,\n",
               "       -0.05278333, -0.047     , -0.0521    , -0.05088333, -0.04305   ,\n",
@@ -3214,7 +3525,7 @@
               "       -0.04428333, -0.05206667, -0.04676667, -0.05188334, -0.0574    ,\n",
               "       -0.06316667, -0.0484    , -0.04308333, -0.04601667, -0.0499    ,\n",
               "       -0.05471666, -0.05536667, -0.04616667, -0.02825   , -0.03388334,\n",
-              "       -0.0423    , -0.04288333, -0.0429    ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.414 -7.424 ... -6.433 -6.436</div><input id='attrs-6c2edf8f-5c91-42ea-89ad-21b62c2beb53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c2edf8f-5c91-42ea-89ad-21b62c2beb53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c567dd3-4ec1-4bd5-ac93-c615acab80af' class='xr-var-data-in' type='checkbox'><label for='data-0c567dd3-4ec1-4bd5-ac93-c615acab80af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll</dd></dl></div><div class='xr-var-data'><pre>array([-7.414066 , -7.424116 , -7.4041324, -7.422417 , -7.4120665,\n",
+              "       -0.0423    , -0.04288333, -0.0429    ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.414 -7.424 ... -6.433 -6.436</div><input id='attrs-505e3e4a-6b69-4300-bebe-72dcc10dbb76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-505e3e4a-6b69-4300-bebe-72dcc10dbb76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2b4b5c0-2771-4645-b850-1138f5b778e9' class='xr-var-data-in' type='checkbox'><label for='data-a2b4b5c0-2771-4645-b850-1138f5b778e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll</dd></dl></div><div class='xr-var-data'><pre>array([-7.414066 , -7.424116 , -7.4041324, -7.422417 , -7.4120665,\n",
               "       -7.4167333, -7.4193   , -7.4148664, -7.4301662, -7.419133 ,\n",
               "       -7.4179006, -7.402567 , -7.4040666, -7.394583 , -7.403933 ,\n",
               "       -7.394567 , -7.39615  , -7.3910007, -7.386317 , -7.3802505,\n",
@@ -3250,7 +3561,7 @@
               "       -6.4438   , -6.450166 , -6.4428334, -6.45625  , -6.455867 ,\n",
               "       -6.44465  , -6.436783 , -6.430967 , -6.4454665, -6.441799 ,\n",
               "       -6.4480996, -6.4399   , -6.4372997, -6.4309335, -6.4305167,\n",
-              "       -6.4460497, -6.4332495, -6.4359174], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_density</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.023e+03 1.023e+03 ... 1.023e+03</div><input id='attrs-6950b35b-71bd-4e77-af5a-edfa6d09ff1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6950b35b-71bd-4e77-af5a-edfa6d09ff1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b5fb35a-3179-4627-941c-9092dcc52a7d' class='xr-var-data-in' type='checkbox'><label for='data-9b5fb35a-3179-4627-941c-9092dcc52a7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>long_name :</span></dt><dd>Water Density</dd><dt><span>standard_name :</span></dt><dd>sea_water_density</dd><dt><span>description :</span></dt><dd>Water density from linear approximation of sea water equation of state</dd></dl></div><div class='xr-var-data'><pre>array([1023.2506 , 1023.2348 , 1023.2431 , 1023.2559 , 1023.2423 ,\n",
+              "       -6.4460497, -6.4332495, -6.4359174], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_density</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.023e+03 1.023e+03 ... 1.023e+03</div><input id='attrs-b2448a11-d4bb-4e5b-a804-002ec43add14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2448a11-d4bb-4e5b-a804-002ec43add14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffafa8c1-f7d5-435d-85ce-921bd0dc319f' class='xr-var-data-in' type='checkbox'><label for='data-ffafa8c1-f7d5-435d-85ce-921bd0dc319f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>long_name :</span></dt><dd>Water Density</dd><dt><span>standard_name :</span></dt><dd>sea_water_density</dd><dt><span>description :</span></dt><dd>Water density from linear approximation of sea water equation of state</dd></dl></div><div class='xr-var-data'><pre>array([1023.2506 , 1023.2348 , 1023.2431 , 1023.2559 , 1023.2423 ,\n",
               "       1023.21655, 1023.1977 , 1023.2015 , 1023.19476, 1023.19116,\n",
               "       1023.194  , 1023.1996 , 1023.20294, 1023.19666, 1023.19336,\n",
               "       1023.19763, 1023.205  , 1023.20404, 1023.2148 , 1023.2179 ,\n",
@@ -3286,7 +3597,7 @@
               "       1023.3432 , 1023.34186, 1023.34094, 1023.3408 , 1023.34   ,\n",
               "       1023.33655, 1023.34143, 1023.34155, 1023.34357, 1023.3508 ,\n",
               "       1023.3694 , 1023.37335, 1023.3781 , 1023.3796 , 1023.3752 ,\n",
-              "       1023.3806 , 1023.3899 , 1023.3975 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>10.28 10.26 10.25 ... 10.15 10.15</div><input id='attrs-69c71a5f-e445-4ea7-8f0c-4ea2adeba256' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69c71a5f-e445-4ea7-8f0c-4ea2adeba256' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c304da2-da73-4cf8-8348-f522cbcc6fc6' class='xr-var-data-in' type='checkbox'><label for='data-1c304da2-da73-4cf8-8348-f522cbcc6fc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Water Depth</dd><dt><span>standard_name :</span></dt><dd>depth</dd></dl></div><div class='xr-var-data'><pre>array([10.275155 , 10.262421 , 10.248638 , 10.233478 , 10.216689 ,\n",
+              "       1023.3806 , 1023.3899 , 1023.3975 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>10.28 10.26 10.25 ... 10.15 10.15</div><input id='attrs-bbcb05f8-84c2-48f8-bb7d-bac10dc6062f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbcb05f8-84c2-48f8-bb7d-bac10dc6062f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81671a85-1346-4a19-9f36-288ee8972c28' class='xr-var-data-in' type='checkbox'><label for='data-81671a85-1346-4a19-9f36-288ee8972c28' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Water Depth</dd><dt><span>standard_name :</span></dt><dd>depth</dd></dl></div><div class='xr-var-data'><pre>array([10.275155 , 10.262421 , 10.248638 , 10.233478 , 10.216689 ,\n",
               "       10.204074 , 10.188269 , 10.172538 , 10.158512 , 10.140744 ,\n",
               "       10.124731 , 10.10534  , 10.088593 , 10.069619 , 10.050677 ,\n",
               "       10.028841 , 10.00682  ,  9.981041 ,  9.958139 ,  9.932152 ,\n",
@@ -3322,7 +3633,7 @@
               "        9.972928 ,  9.992192 , 10.00496  , 10.023165 , 10.037822 ,\n",
               "       10.052144 , 10.058786 , 10.073322 , 10.083076 , 10.093331 ,\n",
               "       10.100321 , 10.109131 , 10.117323 , 10.123545 , 10.1341   ,\n",
-              "       10.142311 , 10.14612  , 10.153638 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U_std</span></div><div class='xr-var-dims'>(range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.04232 0.04293 0.04402 ... nan nan</div><input id='attrs-6f8b823e-8ebc-4098-ac88-ef9e421e2501' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f8b823e-8ebc-4098-ac88-ef9e421e2501' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aee946c4-df3b-4a9d-9731-0c3b3e11590c' class='xr-var-data-in' type='checkbox'><label for='data-aee946c4-df3b-4a9d-9731-0c3b3e11590c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Water Velocity Standard Deviation</dd></dl></div><div class='xr-var-data'><pre>array([[0.04231985, 0.04293143, 0.04401674, ..., 0.04380286, 0.04201568,\n",
+              "       10.142311 , 10.14612  , 10.153638 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U_std</span></div><div class='xr-var-dims'>(range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.04232 0.04293 0.04402 ... nan nan</div><input id='attrs-d22666f4-2ff2-4a82-9c80-9ad250fae6c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d22666f4-2ff2-4a82-9c80-9ad250fae6c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffeedf87-52b8-41b1-8f45-e22dbb29dcbc' class='xr-var-data-in' type='checkbox'><label for='data-ffeedf87-52b8-41b1-8f45-e22dbb29dcbc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Water Velocity Standard Deviation</dd></dl></div><div class='xr-var-data'><pre>array([[0.04231985, 0.04293143, 0.04401674, ..., 0.04380286, 0.04201568,\n",
               "        0.04634431],\n",
               "       [0.04002878, 0.04084466, 0.03949426, ..., 0.04000184, 0.04028782,\n",
               "        0.03873245],\n",
@@ -3334,69 +3645,7 @@
               "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
               "               nan],\n",
               "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
-              "               nan]], shape=(28, 183), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-39822272-7344-4f67-9029-9ac3bdaf315f' class='xr-section-summary-in' type='checkbox'  ><label for='section-39822272-7344-4f67-9029-9ac3bdaf315f' class='xr-section-summary' >Indexes: <span>(10)</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>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-22f50f61-d724-40f0-ba78-70482d1b5863' class='xr-index-data-in' type='checkbox'/><label for='index-22f50f61-d724-40f0-ba78-70482d1b5863' 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;2020-08-15 00:22:30.001030683&#x27;,\n",
-              "               &#x27;2020-08-15 00:27:30.001019239&#x27;,\n",
-              "               &#x27;2020-08-15 00:32:30.001010656&#x27;,\n",
-              "               &#x27;2020-08-15 00:37:30.001015901&#x27;,\n",
-              "               &#x27;2020-08-15 00:42:30.001019954&#x27;,\n",
-              "               &#x27;2020-08-15 00:47:30.001018524&#x27;,\n",
-              "               &#x27;2020-08-15 00:52:30.001013994&#x27;,\n",
-              "               &#x27;2020-08-15 00:57:30.001026630&#x27;,\n",
-              "               &#x27;2020-08-15 01:02:30.001023769&#x27;,\n",
-              "               &#x27;2020-08-15 01:07:30.001024723&#x27;,\n",
-              "               ...\n",
-              "               &#x27;2020-08-15 14:47:30.001032352&#x27;,\n",
-              "               &#x27;2020-08-15 14:52:30.001019239&#x27;,\n",
-              "               &#x27;2020-08-15 14:57:30.001032829&#x27;,\n",
-              "               &#x27;2020-08-15 15:02:30.001021146&#x27;,\n",
-              "               &#x27;2020-08-15 15:07:30.001027345&#x27;,\n",
-              "               &#x27;2020-08-15 15:12:30.001029014&#x27;,\n",
-              "               &#x27;2020-08-15 15:17:30.001026630&#x27;,\n",
-              "               &#x27;2020-08-15 15:22:30.001026153&#x27;,\n",
-              "               &#x27;2020-08-15 15:27:30.001022577&#x27;,\n",
-              "               &#x27;2020-08-15 15:32:30.001030683&#x27;],\n",
-              "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=183, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dirIMU</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-68d0fa06-2aea-4d10-accd-011823a35690' class='xr-index-data-in' type='checkbox'/><label for='index-68d0fa06-2aea-4d10-accd-011823a35690' 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([&#x27;streamwise&#x27;, &#x27;x-stream&#x27;, &#x27;vert&#x27;], dtype=&#x27;object&#x27;, name=&#x27;dirIMU&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dir</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-e234f08d-8c57-434a-a27b-ceaea3df8e75' class='xr-index-data-in' type='checkbox'/><label for='index-e234f08d-8c57-434a-a27b-ceaea3df8e75' 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([&#x27;streamwise&#x27;, &#x27;x-stream&#x27;, &#x27;vert1&#x27;, &#x27;vert2&#x27;], dtype=&#x27;object&#x27;, name=&#x27;dir&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>range</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9f63e293-4cea-4995-829a-d6f2ce67b99d' class='xr-index-data-in' type='checkbox'/><label for='index-9f63e293-4cea-4995-829a-d6f2ce67b99d' 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([               1.2, 1.7000000000000002,                2.2,\n",
-              "                      2.7,                3.2,                3.7,\n",
-              "                      4.2,  4.699999999999999,  5.199999999999999,\n",
-              "        5.699999999999999,  6.199999999999999,  6.699999999999999,\n",
-              "        7.199999999999999,  7.699999999999999,                8.2,\n",
-              "                      8.7,                9.2,                9.7,\n",
-              "                     10.2,               10.7,               11.2,\n",
-              "                     11.7,               12.2,               12.7,\n",
-              "                     13.2,               13.7,               14.2,\n",
-              "                     14.7],\n",
-              "      dtype=&#x27;float64&#x27;, name=&#x27;range&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>beam</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-34366b69-9c8f-4bf6-989d-1da3a72d15ab' class='xr-index-data-in' type='checkbox'/><label for='index-34366b69-9c8f-4bf6-989d-1da3a72d15ab' 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([1, 2, 3, 4], dtype=&#x27;int32&#x27;, name=&#x27;beam&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>earth</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-36fbb1ab-b6cc-4322-b1c4-be9a69d327bd' class='xr-index-data-in' type='checkbox'/><label for='index-36fbb1ab-b6cc-4322-b1c4-be9a69d327bd' 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([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;object&#x27;, name=&#x27;earth&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>inst</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-235eb738-3773-4f61-a25e-957043df7788' class='xr-index-data-in' type='checkbox'/><label for='index-235eb738-3773-4f61-a25e-957043df7788' 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([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;object&#x27;, name=&#x27;inst&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>q</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-77db153b-8d36-4e42-8aa1-a218f8b28f07' class='xr-index-data-in' type='checkbox'/><label for='index-77db153b-8d36-4e42-8aa1-a218f8b28f07' 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([&#x27;w&#x27;, &#x27;x&#x27;, &#x27;y&#x27;, &#x27;z&#x27;], dtype=&#x27;object&#x27;, name=&#x27;q&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time_b5</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-42bff68f-07ca-47ad-82d7-da6c885d3a03' class='xr-index-data-in' type='checkbox'/><label for='index-42bff68f-07ca-47ad-82d7-da6c885d3a03' 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;2020-08-15 00:22:29.938495159&#x27;,\n",
-              "               &#x27;2020-08-15 00:27:29.938490867&#x27;,\n",
-              "               &#x27;2020-08-15 00:32:29.938487529&#x27;,\n",
-              "               &#x27;2020-08-15 00:37:29.938496828&#x27;,\n",
-              "               &#x27;2020-08-15 00:42:29.938495397&#x27;,\n",
-              "               &#x27;2020-08-15 00:47:29.938496589&#x27;,\n",
-              "               &#x27;2020-08-15 00:52:29.938497781&#x27;,\n",
-              "               &#x27;2020-08-15 00:57:29.938495397&#x27;,\n",
-              "               &#x27;2020-08-15 01:02:29.938493013&#x27;,\n",
-              "               &#x27;2020-08-15 01:07:29.938492536&#x27;,\n",
-              "               ...\n",
-              "               &#x27;2020-08-15 14:47:29.938492774&#x27;,\n",
-              "               &#x27;2020-08-15 14:52:29.938491106&#x27;,\n",
-              "               &#x27;2020-08-15 14:57:29.938495635&#x27;,\n",
-              "               &#x27;2020-08-15 15:02:29.938493013&#x27;,\n",
-              "               &#x27;2020-08-15 15:07:29.938493967&#x27;,\n",
-              "               &#x27;2020-08-15 15:12:29.938494920&#x27;,\n",
-              "               &#x27;2020-08-15 15:17:29.938493251&#x27;,\n",
-              "               &#x27;2020-08-15 15:22:29.938486099&#x27;,\n",
-              "               &#x27;2020-08-15 15:27:29.938484191&#x27;,\n",
-              "               &#x27;2020-08-15 15:32:29.938490390&#x27;],\n",
-              "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time_b5&#x27;, length=183, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>range_b5</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2a0b257d-1e4d-415d-9dca-9988fdbf08bb' class='xr-index-data-in' type='checkbox'/><label for='index-2a0b257d-1e4d-415d-9dca-9988fdbf08bb' 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([               1.2, 1.7000000000000002,                2.2,\n",
-              "                      2.7,                3.2,                3.7,\n",
-              "                      4.2,  4.699999999999999,  5.199999999999999,\n",
-              "        5.699999999999999,  6.199999999999999,  6.699999999999999,\n",
-              "        7.199999999999999,  7.699999999999999,                8.2,\n",
-              "                      8.7,                9.2,                9.7,\n",
-              "                     10.2,               10.7,               11.2,\n",
-              "                     11.7,               12.2,               12.7,\n",
-              "                     13.2,               13.7,               14.2,\n",
-              "                     14.7],\n",
-              "      dtype=&#x27;float64&#x27;, name=&#x27;range_b5&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cea8b836-b914-44c4-b99f-da6161f6f2c3' class='xr-section-summary-in' type='checkbox'  ><label for='section-cea8b836-b914-44c4-b99f-da6161f6f2c3' class='xr-section-summary' >Attributes: <span>(41)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>fs :</span></dt><dd>1</dd><dt><span>n_bin :</span></dt><dd>300</dd><dt><span>n_fft :</span></dt><dd>300</dd><dt><span>description :</span></dt><dd>Binned averages calculated from ensembles of size &quot;n_bin&quot;</dd><dt><span>filehead_config :</span></dt><dd>{&quot;CLOCKSTR&quot;: {&quot;TIME&quot;: &quot;\\&quot;2020-08-13 13:56:21\\&quot;&quot;}, &quot;ID&quot;: &quot;STR=\\&quot;Signature1000\\&quot;,SN=101663&quot;, &quot;HW&quot;: {&quot;FW&quot;: 2212, &quot;FPGA&quot;: 169, &quot;DIGITAL&quot;: &quot;\\&quot;I-3\\&quot;&quot;, &quot;INTERFACE&quot;: &quot;\\&quot;H-2\\&quot;&quot;, &quot;ANALOG&quot;: &quot;\\&quot;G-1\\&quot;&quot;, &quot;SENSOR&quot;: &quot;\\&quot;D-1(AHRS)\\&quot;&quot;, &quot;BOOT&quot;: 21, &quot;FWMINOR&quot;: 11}, &quot;BOARDSENSGET&quot;: &quot;AV=23,NB=5,HF=1000,TTR=2.0000,TTRB5=2.0000&quot;, &quot;PWR&quot;: {&quot;PLAN&quot;: 1940.43, &quot;BURST&quot;: 1937.69, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 1940.43}, &quot;MEM&quot;: {&quot;PLAN&quot;: 2.733, &quot;BURST&quot;: 2.733, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 2.733}, &quot;PRECISION&quot;: {&quot;AVGHORZ&quot;: -9.99, &quot;BURSTHORZ&quot;: 2.6, &quot;BEAM5&quot;: 1.62, &quot;AVGBEAM&quot;: -9.99, &quot;BURSTBEAM&quot;: 1.55}, &quot;PLAN&quot;: {&quot;MIAVG&quot;: 600, &quot;AVG&quot;: 0, &quot;DIAVG&quot;: 0, &quot;VD&quot;: 0, &quot;MV&quot;: 10, &quot;SA&quot;: 32.0, &quot;BURST&quot;: 1, &quot;MIBURST&quot;: 1, &quot;DIBURST&quot;: 0, &quot;SV&quot;: 0.0, &quot;FN&quot;: &quot;\\&quot;S101663A007_sea_spider.ad2cp\\&quot;&quot;, &quot;SO&quot;: 0, &quot;FREQ&quot;: 1000, &quot;NSTT&quot;: 0}, &quot;BURST&quot;: {&quot;NC&quot;: 28, &quot;NB&quot;: 5, &quot;CS&quot;: 0.5, &quot;BD&quot;: 0.1, &quot;CY&quot;: &quot;\\&quot;ENU\\&quot;&quot;, &quot;PL&quot;: 0.0, &quot;SR&quot;: 1, &quot;NS&quot;: 1, &quot;VR&quot;: 2.5, &quot;VP&quot;: 0.0, &quot;DF&quot;: 3, &quot;NPING&quot;: 8, &quot;CH&quot;: 0, &quot;ALTI&quot;: 0, &quot;VR5&quot;: 2.5, &quot;BT&quot;: 0, &quot;DISV&quot;: 0, &quot;ECHO&quot;: 0, &quot;RAWALTI&quot;: 60, &quot;ALTISTART&quot;: 0.1, &quot;ALTIEND&quot;: 30.0, &quot;HR&quot;: 0, &quot;HR5&quot;: 0}, &quot;XFBURST&quot;: {&quot;ROWS&quot;: 4, &quot;COLS&quot;: 4, &quot;M11&quot;: 1.1831, &quot;M12&quot;: 0.0, &quot;M13&quot;: -1.1831, &quot;M14&quot;: 0.0, &quot;M21&quot;: 0.0, &quot;M22&quot;: -1.1831, &quot;M23&quot;: 0.0, &quot;M24&quot;: 1.1831, &quot;M31&quot;: 0.5518, &quot;M32&quot;: 0.0, &quot;M33&quot;: 0.5518, &quot;M34&quot;: 0.0, &quot;M41&quot;: 0.0, &quot;M42&quot;: 0.5518, &quot;M43&quot;: 0.0, &quot;M44&quot;: 0.5518}, &quot;USER&quot;: {&quot;POFF&quot;: 10.2, &quot;DECL&quot;: 0.0, &quot;HX&quot;: -48, &quot;HY&quot;: 48, &quot;HZ&quot;: 0}, &quot;INST&quot;: {&quot;BR&quot;: 9600, &quot;RS&quot;: 232, &quot;LED&quot;: &quot;\\&quot;OFF\\&quot;&quot;, &quot;ORIENT&quot;: &quot;\\&quot;AHRS3D\\&quot;&quot;, &quot;CMTOUT&quot;: 300, &quot;DMTOUT&quot;: 60, &quot;CFMTOUT&quot;: 60}, &quot;COMPASSCAL&quot;: {&quot;DX&quot;: 155, &quot;DY&quot;: 778, &quot;DZ&quot;: -486, &quot;M11&quot;: 31481, &quot;M12&quot;: 1726, &quot;M13&quot;: -1109, &quot;M21&quot;: -1955, &quot;M22&quot;: 32767, &quot;M23&quot;: 379, &quot;M31&quot;: 750, &quot;M32&quot;: -1851, &quot;M33&quot;: 31699}, &quot;READAHRS&quot;: &quot;STR=\\&quot;OSv6_a2_V5101_0.6 Oct  3 2019, SerialNumber=60004222,type=OS3DM\\&quot;&quot;, &quot;RECSTAT&quot;: &quot;SS=512,CS=32768,FC=127813877760,TC=127848677376,VS=127848677376&quot;, &quot;BEAMCFGLIST&quot;: [&quot;BEAM=1,THETA=25.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=1,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=2,THETA=25.00,PHI=-90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=2,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=3,THETA=25.00,PHI=180.00,FREQ=1000,BW=25,BRD=1,HWBEAM=3,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=4,THETA=25.00,PHI=90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=4,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=5,THETA=0.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=5,ZNOM=60.00,DIA=0.0&quot;], &quot;BEAMIMPLIST&quot;: [&quot;BEAM=1,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=2,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=3,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=4,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=5,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;], &quot;LISTLICENSE&quot;: [&quot;KEY=\\&quot;C390Y1LU32C1B\\&quot;,DESC=\\&quot;Averaging Mode\\&quot;,TYPE=1&quot;, &quot;KEY=\\&quot;6F2UB3HTH2C1B\\&quot;,DESC=\\&quot;Burst Five Beams\\&quot;,TYPE=17&quot;, &quot;KEY=\\&quot;R0X9JSZPH2C1B\\&quot;,DESC=\\&quot;128GB Recorder\\&quot;,TYPE=14&quot;], &quot;CALCOMPGET&quot;: &quot;DX=155,DY=778,DZ=-486,M11=31481,M12=1726,M13=-1109,M21=-1955,M22=32767,M23=379,M31=750,M32=-1851,M33=31699&quot;, &quot;CALTEMPGET&quot;: &quot;SC=0.99906&quot;, &quot;CALTILTGET&quot;: &quot;PO=0.00,RO=0.00,MAGG=1,HO=0.00&quot;, &quot;CALACCLGET&quot;: [&quot;AX=1.000000E+00,B0X=1.791816E-02,B1X=-1.795970E-02,B2X=6.661898E-04,B3X=0.000000E+00,A1X=1.146936E-05,A2X=7.326843E-06,A3X=0.000000E+00&quot;, &quot;AY=1.000000E+00,B0Y=9.597497E-03,B1Y=-8.430577E-03,B2Y=9.310668E-04,B3Y=0.000000E+00,A1Y=7.215003E-05,A2Y=1.361528E-06,A3Y=0.000000E+00&quot;, &quot;AZ=1.000000E+00,B0Z=1.290458E-02,B1Z=2.959575E-02,B2Z=2.331257E-03,B3Z=0.000000E+00,A1Z=1.164268E-04,A2Z=-2.166612E-06,A3Z=0.000000E+00&quot;], &quot;CALGYROGET&quot;: [&quot;AX=1.094973E+00,B0X=-2.672331E+00,B1X=-1.493178E-03,B2X=9.496510E-05,B3X=0.000000E+00,A1X=2.702698E-04,A2X=8.100271E-05,A3X=0.000000E+00&quot;, &quot;AY=1.080807E+00,B0Y=3.432283E-01,B1Y=7.219538E-04,B2Y=1.416728E-04,B3Y=0.000000E+00,A1Y=9.466633E-04,A2Y=-4.216283E-05,A3Y=0.000000E+00&quot;, &quot;AZ=1.085556E+00,B0Z=-9.442614E-01,B1Z=6.433576E-04,B2Z=-1.306087E-05,B3Z=0.000000E+00,A1Z=1.430541E-03,A2Z=-7.494539E-05,A3Z=0.000000E+00&quot;], &quot;CALPRESSGET&quot;: &quot;MT=1,RREF=4.5264760000e+02,RB0=7.7074756250e-01,RB1=-7.5541806250e-02,RB2=4.9886362500e-04,RB3=-1.4193179690e-07,T0=-2.4234620000e+03,T1=1.8815180000e+00,T2=-5.0111803130e-04,T3=4.7281500000e-08,ID=\\&quot;K244314\\&quot;&quot;, &quot;CALPRESSCOEFFGET&quot;: [&quot;A0=6.3850020000e+00,A1=-5.6274000000e-03,A2=1.6346411250e-06,A3=-1.6029240630e-10,B0=-2.6056009380e-01,B1=3.1699690630e-04,B2=-9.0774206250e-08,B3=8.5142393750e-12&quot;, &quot;C0=-1.2762860000e-03,C1=1.1561740000e-06,C2=-3.5109818750e-10,C3=3.5575718750e-14,D0=3.6002040630e-06,D1=-3.3359181250e-09,D2=1.0241850000e-12,D3=-1.0446648750e-16&quot;], &quot;CALROTACCLGET&quot;: &quot;M11=0.99144,M12=0.00991,M13=-0.03081,M21=-0.00921,M22=0.99564,M23=0.01131,M31=0.03451,M32=-0.01242,M33=0.98426&quot;, &quot;CALROTGYROGET&quot;: &quot;M11=1.00000,M12=0.00803,M13=-0.02685,M21=-0.00933,M22=1.00000,M23=0.01646,M31=0.02587,M32=-0.01599,M33=1.00000&quot;, &quot;CALECHOGET&quot;: &quot;CHA0=0.00,CHB0=-17.69,CHC0=0.00&quot;}</dd><dt><span>inst_model :</span></dt><dd>Signature1000</dd><dt><span>inst_make :</span></dt><dd>Nortek</dd><dt><span>inst_type :</span></dt><dd>ADCP</dd><dt><span>burst_config :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells :</span></dt><dd>28</dd><dt><span>n_beams :</span></dt><dd>4</dd><dt><span>ambig_vel :</span></dt><dd>5.066</dd><dt><span>SerialNum :</span></dt><dd>101663</dd><dt><span>nominal_corr :</span></dt><dd>67</dd><dt><span>cell_size :</span></dt><dd>0.5</dd><dt><span>blank_dist :</span></dt><dd>0.1</dd><dt><span>power_level_dB :</span></dt><dd>0.0</dd><dt><span>burst_config_b5 :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells_b5 :</span></dt><dd>28</dd><dt><span>coord_sys_axes_b5 :</span></dt><dd>beam</dd><dt><span>n_beams_b5 :</span></dt><dd>1</dd><dt><span>ambig_vel_b5 :</span></dt><dd>5.066</dd><dt><span>SerialNum_b5 :</span></dt><dd>101663</dd><dt><span>nominal_corr_b5 :</span></dt><dd>65</dd><dt><span>cell_size_b5 :</span></dt><dd>0.5</dd><dt><span>blank_dist_b5 :</span></dt><dd>0.1</dd><dt><span>power_level_dB_b5 :</span></dt><dd>0.0</dd><dt><span>wakeup_state :</span></dt><dd>clock</dd><dt><span>orientation :</span></dt><dd>AHRS</dd><dt><span>orient_status :</span></dt><dd>AHRS-3D</dd><dt><span>proc_idle_less_3pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_6pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_12pct :</span></dt><dd>0</dd><dt><span>rotate_vars :</span></dt><dd>[&#x27;vel&#x27;, &#x27;accel&#x27;, &#x27;accel_b5&#x27;, &#x27;angrt&#x27;, &#x27;angrt_b5&#x27;, &#x27;mag&#x27;, &#x27;mag_b5&#x27;]</dd><dt><span>coord_sys :</span></dt><dd>principal</dd><dt><span>has_imu :</span></dt><dd>1</dd><dt><span>beam_angle :</span></dt><dd>25</dd><dt><span>range_offset :</span></dt><dd>0.6</dd><dt><span>declination :</span></dt><dd>15.8</dd><dt><span>declination_in_orientmat :</span></dt><dd>1</dd><dt><span>principal_heading :</span></dt><dd>11.1898</dd></dl></div></li></ul></div></div>"
+              "               nan]], shape=(28, 183), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8a4893a0-7f97-4117-851d-9e9c50ebe9d7' class='xr-section-summary-in' type='checkbox'  ><label for='section-8a4893a0-7f97-4117-851d-9e9c50ebe9d7' class='xr-section-summary' >Attributes: <span>(41)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>fs :</span></dt><dd>1</dd><dt><span>n_bin :</span></dt><dd>300</dd><dt><span>n_fft :</span></dt><dd>300</dd><dt><span>description :</span></dt><dd>Binned averages calculated from ensembles of size &quot;n_bin&quot;</dd><dt><span>filehead_config :</span></dt><dd>{&quot;CLOCKSTR&quot;: {&quot;TIME&quot;: &quot;\\&quot;2020-08-13 13:56:21\\&quot;&quot;}, &quot;ID&quot;: &quot;STR=\\&quot;Signature1000\\&quot;,SN=101663&quot;, &quot;HW&quot;: {&quot;FW&quot;: 2212, &quot;FPGA&quot;: 169, &quot;DIGITAL&quot;: &quot;\\&quot;I-3\\&quot;&quot;, &quot;INTERFACE&quot;: &quot;\\&quot;H-2\\&quot;&quot;, &quot;ANALOG&quot;: &quot;\\&quot;G-1\\&quot;&quot;, &quot;SENSOR&quot;: &quot;\\&quot;D-1(AHRS)\\&quot;&quot;, &quot;BOOT&quot;: 21, &quot;FWMINOR&quot;: 11}, &quot;BOARDSENSGET&quot;: &quot;AV=23,NB=5,HF=1000,TTR=2.0000,TTRB5=2.0000&quot;, &quot;PWR&quot;: {&quot;PLAN&quot;: 1940.43, &quot;BURST&quot;: 1937.69, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 1940.43}, &quot;MEM&quot;: {&quot;PLAN&quot;: 2.733, &quot;BURST&quot;: 2.733, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 2.733}, &quot;PRECISION&quot;: {&quot;AVGHORZ&quot;: -9.99, &quot;BURSTHORZ&quot;: 2.6, &quot;BEAM5&quot;: 1.62, &quot;AVGBEAM&quot;: -9.99, &quot;BURSTBEAM&quot;: 1.55}, &quot;PLAN&quot;: {&quot;MIAVG&quot;: 600, &quot;AVG&quot;: 0, &quot;DIAVG&quot;: 0, &quot;VD&quot;: 0, &quot;MV&quot;: 10, &quot;SA&quot;: 32.0, &quot;BURST&quot;: 1, &quot;MIBURST&quot;: 1, &quot;DIBURST&quot;: 0, &quot;SV&quot;: 0.0, &quot;FN&quot;: &quot;\\&quot;S101663A007_sea_spider.ad2cp\\&quot;&quot;, &quot;SO&quot;: 0, &quot;FREQ&quot;: 1000, &quot;NSTT&quot;: 0}, &quot;BURST&quot;: {&quot;NC&quot;: 28, &quot;NB&quot;: 5, &quot;CS&quot;: 0.5, &quot;BD&quot;: 0.1, &quot;CY&quot;: &quot;\\&quot;ENU\\&quot;&quot;, &quot;PL&quot;: 0.0, &quot;SR&quot;: 1, &quot;NS&quot;: 1, &quot;VR&quot;: 2.5, &quot;VP&quot;: 0.0, &quot;DF&quot;: 3, &quot;NPING&quot;: 8, &quot;CH&quot;: 0, &quot;ALTI&quot;: 0, &quot;VR5&quot;: 2.5, &quot;BT&quot;: 0, &quot;DISV&quot;: 0, &quot;ECHO&quot;: 0, &quot;RAWALTI&quot;: 60, &quot;ALTISTART&quot;: 0.1, &quot;ALTIEND&quot;: 30.0, &quot;HR&quot;: 0, &quot;HR5&quot;: 0}, &quot;XFBURST&quot;: {&quot;ROWS&quot;: 4, &quot;COLS&quot;: 4, &quot;M11&quot;: 1.1831, &quot;M12&quot;: 0.0, &quot;M13&quot;: -1.1831, &quot;M14&quot;: 0.0, &quot;M21&quot;: 0.0, &quot;M22&quot;: -1.1831, &quot;M23&quot;: 0.0, &quot;M24&quot;: 1.1831, &quot;M31&quot;: 0.5518, &quot;M32&quot;: 0.0, &quot;M33&quot;: 0.5518, &quot;M34&quot;: 0.0, &quot;M41&quot;: 0.0, &quot;M42&quot;: 0.5518, &quot;M43&quot;: 0.0, &quot;M44&quot;: 0.5518}, &quot;USER&quot;: {&quot;POFF&quot;: 10.2, &quot;DECL&quot;: 0.0, &quot;HX&quot;: -48, &quot;HY&quot;: 48, &quot;HZ&quot;: 0}, &quot;INST&quot;: {&quot;BR&quot;: 9600, &quot;RS&quot;: 232, &quot;LED&quot;: &quot;\\&quot;OFF\\&quot;&quot;, &quot;ORIENT&quot;: &quot;\\&quot;AHRS3D\\&quot;&quot;, &quot;CMTOUT&quot;: 300, &quot;DMTOUT&quot;: 60, &quot;CFMTOUT&quot;: 60}, &quot;COMPASSCAL&quot;: {&quot;DX&quot;: 155, &quot;DY&quot;: 778, &quot;DZ&quot;: -486, &quot;M11&quot;: 31481, &quot;M12&quot;: 1726, &quot;M13&quot;: -1109, &quot;M21&quot;: -1955, &quot;M22&quot;: 32767, &quot;M23&quot;: 379, &quot;M31&quot;: 750, &quot;M32&quot;: -1851, &quot;M33&quot;: 31699}, &quot;READAHRS&quot;: &quot;STR=\\&quot;OSv6_a2_V5101_0.6 Oct  3 2019, SerialNumber=60004222,type=OS3DM\\&quot;&quot;, &quot;RECSTAT&quot;: &quot;SS=512,CS=32768,FC=127813877760,TC=127848677376,VS=127848677376&quot;, &quot;BEAMCFGLIST&quot;: [&quot;BEAM=1,THETA=25.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=1,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=2,THETA=25.00,PHI=-90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=2,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=3,THETA=25.00,PHI=180.00,FREQ=1000,BW=25,BRD=1,HWBEAM=3,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=4,THETA=25.00,PHI=90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=4,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=5,THETA=0.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=5,ZNOM=60.00,DIA=0.0&quot;], &quot;BEAMIMPLIST&quot;: [&quot;BEAM=1,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=2,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=3,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=4,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=5,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;], &quot;LISTLICENSE&quot;: [&quot;KEY=\\&quot;C390Y1LU32C1B\\&quot;,DESC=\\&quot;Averaging Mode\\&quot;,TYPE=1&quot;, &quot;KEY=\\&quot;6F2UB3HTH2C1B\\&quot;,DESC=\\&quot;Burst Five Beams\\&quot;,TYPE=17&quot;, &quot;KEY=\\&quot;R0X9JSZPH2C1B\\&quot;,DESC=\\&quot;128GB Recorder\\&quot;,TYPE=14&quot;], &quot;CALCOMPGET&quot;: &quot;DX=155,DY=778,DZ=-486,M11=31481,M12=1726,M13=-1109,M21=-1955,M22=32767,M23=379,M31=750,M32=-1851,M33=31699&quot;, &quot;CALTEMPGET&quot;: &quot;SC=0.99906&quot;, &quot;CALTILTGET&quot;: &quot;PO=0.00,RO=0.00,MAGG=1,HO=0.00&quot;, &quot;CALACCLGET&quot;: [&quot;AX=1.000000E+00,B0X=1.791816E-02,B1X=-1.795970E-02,B2X=6.661898E-04,B3X=0.000000E+00,A1X=1.146936E-05,A2X=7.326843E-06,A3X=0.000000E+00&quot;, &quot;AY=1.000000E+00,B0Y=9.597497E-03,B1Y=-8.430577E-03,B2Y=9.310668E-04,B3Y=0.000000E+00,A1Y=7.215003E-05,A2Y=1.361528E-06,A3Y=0.000000E+00&quot;, &quot;AZ=1.000000E+00,B0Z=1.290458E-02,B1Z=2.959575E-02,B2Z=2.331257E-03,B3Z=0.000000E+00,A1Z=1.164268E-04,A2Z=-2.166612E-06,A3Z=0.000000E+00&quot;], &quot;CALGYROGET&quot;: [&quot;AX=1.094973E+00,B0X=-2.672331E+00,B1X=-1.493178E-03,B2X=9.496510E-05,B3X=0.000000E+00,A1X=2.702698E-04,A2X=8.100271E-05,A3X=0.000000E+00&quot;, &quot;AY=1.080807E+00,B0Y=3.432283E-01,B1Y=7.219538E-04,B2Y=1.416728E-04,B3Y=0.000000E+00,A1Y=9.466633E-04,A2Y=-4.216283E-05,A3Y=0.000000E+00&quot;, &quot;AZ=1.085556E+00,B0Z=-9.442614E-01,B1Z=6.433576E-04,B2Z=-1.306087E-05,B3Z=0.000000E+00,A1Z=1.430541E-03,A2Z=-7.494539E-05,A3Z=0.000000E+00&quot;], &quot;CALPRESSGET&quot;: &quot;MT=1,RREF=4.5264760000e+02,RB0=7.7074756250e-01,RB1=-7.5541806250e-02,RB2=4.9886362500e-04,RB3=-1.4193179690e-07,T0=-2.4234620000e+03,T1=1.8815180000e+00,T2=-5.0111803130e-04,T3=4.7281500000e-08,ID=\\&quot;K244314\\&quot;&quot;, &quot;CALPRESSCOEFFGET&quot;: [&quot;A0=6.3850020000e+00,A1=-5.6274000000e-03,A2=1.6346411250e-06,A3=-1.6029240630e-10,B0=-2.6056009380e-01,B1=3.1699690630e-04,B2=-9.0774206250e-08,B3=8.5142393750e-12&quot;, &quot;C0=-1.2762860000e-03,C1=1.1561740000e-06,C2=-3.5109818750e-10,C3=3.5575718750e-14,D0=3.6002040630e-06,D1=-3.3359181250e-09,D2=1.0241850000e-12,D3=-1.0446648750e-16&quot;], &quot;CALROTACCLGET&quot;: &quot;M11=0.99144,M12=0.00991,M13=-0.03081,M21=-0.00921,M22=0.99564,M23=0.01131,M31=0.03451,M32=-0.01242,M33=0.98426&quot;, &quot;CALROTGYROGET&quot;: &quot;M11=1.00000,M12=0.00803,M13=-0.02685,M21=-0.00933,M22=1.00000,M23=0.01646,M31=0.02587,M32=-0.01599,M33=1.00000&quot;, &quot;CALECHOGET&quot;: &quot;CHA0=0.00,CHB0=-17.69,CHC0=0.00&quot;}</dd><dt><span>inst_model :</span></dt><dd>Signature1000</dd><dt><span>inst_make :</span></dt><dd>Nortek</dd><dt><span>inst_type :</span></dt><dd>ADCP</dd><dt><span>burst_config :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells :</span></dt><dd>28</dd><dt><span>n_beams :</span></dt><dd>4</dd><dt><span>ambig_vel :</span></dt><dd>5.066</dd><dt><span>SerialNum :</span></dt><dd>101663</dd><dt><span>nominal_corr :</span></dt><dd>67</dd><dt><span>cell_size :</span></dt><dd>0.5</dd><dt><span>blank_dist :</span></dt><dd>0.1</dd><dt><span>power_level_dB :</span></dt><dd>0.0</dd><dt><span>burst_config_b5 :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells_b5 :</span></dt><dd>28</dd><dt><span>coord_sys_axes_b5 :</span></dt><dd>beam</dd><dt><span>n_beams_b5 :</span></dt><dd>1</dd><dt><span>ambig_vel_b5 :</span></dt><dd>5.066</dd><dt><span>SerialNum_b5 :</span></dt><dd>101663</dd><dt><span>nominal_corr_b5 :</span></dt><dd>65</dd><dt><span>cell_size_b5 :</span></dt><dd>0.5</dd><dt><span>blank_dist_b5 :</span></dt><dd>0.1</dd><dt><span>power_level_dB_b5 :</span></dt><dd>0.0</dd><dt><span>wakeup_state :</span></dt><dd>clock</dd><dt><span>orientation :</span></dt><dd>AHRS</dd><dt><span>orient_status :</span></dt><dd>AHRS-3D</dd><dt><span>proc_idle_less_3pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_6pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_12pct :</span></dt><dd>0</dd><dt><span>rotate_vars :</span></dt><dd>[&#x27;vel&#x27;, &#x27;accel&#x27;, &#x27;accel_b5&#x27;, &#x27;angrt&#x27;, &#x27;angrt_b5&#x27;, &#x27;mag&#x27;, &#x27;mag_b5&#x27;]</dd><dt><span>coord_sys :</span></dt><dd>principal</dd><dt><span>has_imu :</span></dt><dd>1</dd><dt><span>beam_angle :</span></dt><dd>25</dd><dt><span>range_offset :</span></dt><dd>0.6</dd><dt><span>declination :</span></dt><dd>15.8</dd><dt><span>declination_in_orientmat :</span></dt><dd>1</dd><dt><span>principal_heading :</span></dt><dd>11.1898</dd></dl></div></li></ul></div></div>"
             ],
             "text/plain": [
               "<xarray.Dataset> Size: 379kB\n",
@@ -3500,7 +3749,7 @@
         {
           "data": {
             "text/plain": [
-              "<matplotlib.colorbar.Colorbar at 0x25a2de98c50>"
+              "<matplotlib.colorbar.Colorbar at 0x2446a7b12b0>"
             ]
           },
           "execution_count": 18,
@@ -3509,7 +3758,7 @@
         },
         {
           "data": {
-            "image/png": "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",
+            "image/png": "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",
             "text/plain": [
               "<Figure size 1000x600 with 2 Axes>"
             ]
@@ -3548,7 +3797,7 @@
       "outputs": [
         {
           "data": {
-            "image/png": "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",
+            "image/png": "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",
             "text/plain": [
               "<Figure size 1000x600 with 2 Axes>"
             ]
@@ -3621,7 +3870,7 @@
         {
           "data": {
             "text/plain": [
-              "<matplotlib.collections.QuadMesh at 0x25a3bd609d0>"
+              "<matplotlib.collections.QuadMesh at 0x244003db7d0>"
             ]
           },
           "execution_count": 21,
@@ -3630,7 +3879,7 @@
         },
         {
           "data": {
-            "image/png": "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",
+            "image/png": "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",
             "text/plain": [
               "<Figure size 640x480 with 2 Axes>"
             ]
@@ -3688,7 +3937,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 33,
+      "execution_count": 23,
       "metadata": {},
       "outputs": [
         {
@@ -3700,13 +3949,13 @@
               " (0.0005, 0.1)]"
             ]
           },
-          "execution_count": 33,
+          "execution_count": 23,
           "metadata": {},
           "output_type": "execute_result"
         },
         {
           "data": {
-            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAikAAAIPCAYAAAC2Zk41AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3gU1dfA8e/MlvQekpBCQodQQwsioAgIoqgoCIgUEXhR7KI0kaqCimKh+BOlCEpROkgRwdB7D70mAdJ7sn3eP5YEQhJIL3g/z7MPYXfmztmU3bO3nCspiqIgCIIgCIJQwcjlHYAgCIIgCEJeRJIiCIIgCEKFJJIUQRAEQRAqJJGkCIIgCIJQIYkkRRAEQRCECkkkKYIgCIIgVEgiSSkGRVFYtWoVTZo04erVq+UdjiAIgiA8VNTlHUBl9ueff7Jo0SJOnDhR3qEIgiAIwkNHJCnF0LNnTxwdHVm3bl15hyIIgiAIDx0x3FNMtra25R2CIAiCIDyURJIiCIIgCEKFJJIUQRAEQRAqJDEn5S6jRo1i9+7d9z1m8ODBDB48uIwiEgRBEIT/LpGk3GX69OnlHYIgCIIgCLeJ4R5BEARBqIA2bNhAmzZtWLBgQZHOX7BgAaGhoVSvXh0vLy969erFuXPnSjbIUiaSFEEQBEGoQJYvX05oaCjPPPMMe/fuLfT5iqIwaNAgJk6cyJw5c7hy5QqnTp0iKSmJli1bsmfPnlKIunRU6iSloFmmwWBg2rRp1K1bl5o1a/LYY48RFhZWIjEYjUYATCZTibQnCIIg/Le1aNGCsLAwateuXaTzZ8+ezcKFC5kzZw7NmjUDwMvLiz/++AOtVkvv3r1JSkoqwYhLT6VMUgqTZer1erp27cqvv/7K1q1buXTpEm+++SadOnVixYoVxYpj+/btzJ49G4Avv/ySw4cPF6s9QRAEQahRowY2NjaEhIQU+lxFUfjss89Qq9U8+eSTOR5zcXHh1VdfJTIykh9++KGkwi1VlTJJKUyWOWrUKLZv3878+fOpVq0aAL169aJnz54MGjSIK1euFDmODh06sGrVKhRF4ccff6R58+ZFbksQBEEQ7laUYqFnz57lxo0beHl5oVKpcj3eqVMnAJYuXVrs+MpCpUxSCpplXr16lVmzZhEcHEyrVq1yPNa/f38yMjIYM2ZMaYYqCIIgCEUiSVKhz0lISAAgJSUlz8cDAwMBCA8PJyMjo+jBlZFKvQT5QVnmsmXLMJlMtGnTJtdjoaGhAKxatYr4+Hg8PDxKJcYser0evV6f/X+LxUJCQgIeHh5F+kUUBEF42CmKQmpqKr6+vshy2X6m1ul0GAyGYrejKEqu13gbGxtsbGyK3XZe/Pz8AEhLS+PMmTPUr18/VzxZ/8bHx2Nvb18qcZSUSp2kPOjNfcOGDYC15+Ve7u7u+Pn5ERUVxe7du3n22WdLJcYsn3/+OZMmTSrVawiCIDyMIiIi8Pf3L7Pr6XQ6PO3sSC+BthwdHUlLS8tx34QJE5g4cWIJtJ5bUFAQISEhHD16lB9++IFZs2bleDwqKir7a61WWyoxlKRKnaQ8yNGjRwHy/eV2dXUlKiqKY8eOlXqSMmbMGN5///3s/ycnJ1OtWjXOnz+Pu7t7qV5bEArCaDSyfft2OnTogEajKe9wBIGEhATq1KmDk5NTmV7XYDCQDrypkilOf4ce+CEtjYiICJydnbPvL61elCzz5s2jQ4cOzJ07l8DAQN566y0A/vnnH8aPHw+Avb09np6epRpHSXhokxSdTpedvbq6uuZ5jIuLCwBxcXGlHk9+3Xvu7u6lPtQkCAVhNBqxt7fHw8NDJClChVJeQ+I2gE1xrn17aMXZ2TlHklLamjVrxqFDh5g8eTKzZ89m0aJF1KtXj549e2YnfK1atcpzYm1F89AmKfHx8dlf5zfmljXGqdPpyiQmQRAEQSgLtWvX5tdff81xX1xcHP379wegd+/e5RFWoVXK1T0FcfdYW9ZEoXtlTYoSwy2CIAjCw27mzJmYTCa8vb0ZOHBgeYdTIA9tkuLu7p6dqKSn5z39KaviXmUYlxMEQRCEorp69SozZswA4Ntvv8XOzq6cIyqYhzZJUalUBAcHA3Djxo08j4mOjgagadOmZRWWIAiCIJQpg8HAK6+8gk6n480336w0Qz3wECcpAF26dAHg9OnTuR6Li4sjOTkZBwcH2rVrV9ahCYIgCMJ9Ze0JZzab83x8+/bthIaG8t133+XbRmZmJr1792b37t28/vrrfPvtt6USa2l5qJOU1157DVmW89xMMGvPnxdffLHUl4PdLasCbsuWLcvsmoIgCELlkpmZyYkTJwDYt29fnsfMmDGDAwcOMG7cuFyPpaamsmDBAkJCQrK3hpk9e3aZF8UrrsoV7T0elGXWrl2bYcOGcfLkSY4dO5bjsYULF2JnZ8eECRNKO8wcRowYQXh4OAcPHizT6wqCIAiVQ58+ffD09OTkyZOAte6Jh4cHc+fOzXFc3759cXJyyjUJNjg4GH9/f2bPns0rr7zCxYsXGTRoUFmFX6Iq7RLke7PM1157Lc/jvvrqKw4ePMjw4cPZuHEjbm5u/PDDD6xbt44lS5bkWY1WEARBEMpLQTf/69evH/369ct1f3h4eEmHVG4qZZLSp08f1q1bl7050rx581i5ciWffvopw4cPz3Gsg4MD27dvZ/z48bRo0QJZlmnYsCEHDx6kcePG5RG+IDwUFEXBaDRisVjKOxShgpJlGY1GI/YnE4qsUiYphd1i2snJiZkzZzJz5szSCUgQ/kPMZjNxcXGkpqZiNBrLOxyhgtNoNDg5OeHp6VkpKpwKFUulTFIEQSgfZrOZiIgI9Ho9Li4uODo6olKpxCdlIRdFUTCbzaSlpZGUlERmZiYBAQEiUREKRSQpgiAUWFxcHHq9nmrVqlWaYlBC+XJ0dMTFxYXr168TFxeHt7d3eYckVCKVenWPIAhlR1EUUlNTcXFxEQmKUCh2dnY4OzuTmpqa7zYlgpAXkaQIglAgRqMRo9GIo6NjeYciVEJOTk7Zv0OCUFAiSSljopibUFllreIRcwqEosj6vRGrwYTCEElKGRPF3ITKTkySFYpC/N4IRSGSFEEQBEEQKiSRpAiCIDyErl69iiRJed7uVyK9a9eudOrUCYDr16/zyiuvUK9ePZydnXF0dKRhw4ZMnjyZ1NTUMnomwn+ZWIIsCILwEHvmmWfo3bt3jvtq1qyZ57FpaWns2LGDL774AoDo6GgiIyPp0aNHdo2TQ4cOMXXqVNauXcvevXvRaDSl/hyE/y6RpAiCIDzEGjRowCuvvFKgYzdt2oRer+fZZ58FoGXLluzYsSPHMf/3f/9HnTp1+Oijj9i6dSvdunUr6ZAFIZsY7hEEQXjI6XQ6MjMzH3jcmjVraNy4MUFBQfc9LuvxxMTEEohOEPInkhRBEIQKYPPmzXTv3p2qVatmb8pXu3btYrc7a9Ys7O3tsbe3p2bNmnzzzTd5FlQzm81s3Lgxuxflbjqdjri4OCIiIli3bh1jxozB1taW9u3bFzs+IX8bNmygTZs2LFiwoEjnz58/n1atWlG1alWqVq1KaGgoixYtKtkgS5kY7hEEQShnixYtYuDAgYB152APDw9kWS5WEiDLMh07duT5558nMDCQmzdv8tNPP/H+++9z4cIFZs+eneP4Xbt2kZCQwHPPPZerrXnz5vHWW29l/79+/fqsWbOGgICAIscn5G/58uXMmDGDAwcOADBs2LBCt/H222/zyy+/sGTJkuyf6fLly+nXrx8nTpzgq6++KtGYS4tIUgRBEMpRZmYm77//PgDDhw/nq6++wsHBAQCDwcChQ4cK1I6dnR0NGjTI/n+1atX4+++/cxzz2muv8cQTTzBnzhxGjBiR4/g1a9bg6+tL8+bNc7X9/PPPU69ePZKTk9mzZw///PMPKSkphX6uQsG0aNGCsLAwGjVqxIULFwp9/uHDh/n+++/57LPPciSdL730Eps3b2bGjBkMHjyY4ODgkgy7VIgkRRAEoRxt2bKF+Ph4HBwcmDFjBvb29tmP3bhxo8DVqRs0aMCpU6fue4xKpWLUqFGEhYXx999/50hS1q1bR/fu3fMsuubv74+/vz8AL774IitWrKBXr15s3bo1e7myUHJq1KgBQEhISJGSlH/++QeApk2b5nqsWbNm/PLLL5w6dUokKUJus2bNYtasWZjN5vIORRCECmDnzp0AtGvXLkeCAuDj48P27dsL1E5W78uDZE16jY+Pz74vPDycixcv8t133xWojRdeeAFbW1vmz58vkpRSZGtrW6Tzsn4X9u3bx1NPPZXjsdTUVCRJokmTJsWOryyIJKWMjRgxghEjRpCSkoKLi0t5hyMIQjkJCAggMjIy+/+bNm3K0Ytx4MABWrZsyeOPP16i17148SIA3t7e2fetWbMGR0dHnnjiiQK1YTKZMJlMYnVPKSvqVgJPP/00b7/9Nl988QW9evWiYcOG2Y+tWrWKIUOGULdu3ZIKs1SJ1T2CIAhlLD09HZPJlCNRcHNzw9vbG29vb3x8fIrdFZ+QkJDrPp1Ox5QpU1CpVHTt2jX7/rVr1/Lkk09iY2OT4/jo6Og82/7xxx8xmUyEhoYWK8b/ipSUlBw3vV5fqtcLDAxk8uTJ6HQ6unTpwvHjxwH48ssvadmyJXPmzCnV65ck0ZMiCIJQxhwcHLh58yaxsbF4eXkB1tU1JTlHYMiQIaSnp/PII4/g7+/PzZs3WbRoERcvXmTChAnZVWejo6M5cOAA8+fPz9XGqFGjCA8Pp3PnzgQGBpKWlkZYWBhr166lbt26vPPOOyUWb0X0iI+CQzE+yqdbFIgi1yqoCRMmMHHixOIF9wBjx47NTkrbt2/Pa6+9RpMmTfjwww9L9bolTSQpgiAI5eTIkSMA2Nvbl3j3+9NPP83ChQuZM2cOCQkJODg40KxZM6ZNm8aLL76Yfdy6deuQJImnn346VxsvvPAC8fHxLFy4kNjYWNRqNbVq1eLjjz9m5MiRODs7l2jMD6uIiIgc36t7e6xKy6RJk0hLSyMiIoJvvvmGwMBAQkJCaNy4cZlcvySIJEUQhBKXnp6e72MqlSrHhMD7HSvLMnZ2dkU6NiMjI8+iZWAd6797kmp+xxZ0MmpRHT16FIDGjRujUqlKtO3XXnuN11577YHHrV27ljZt2uDh4ZHrsWeffTbP4m5C4Tg7O5d5QqfT6Rg+fDiTJk2iWrVqvP/++8ycOZN27dqxadMmHnnkkTKNp6hEkiIIQolzdHTM97Fu3bqxYcOG7P97eXmRkZGR57GPPfZYjr1jgoKCiIuLy/PYFi1acPDgwez/BwcHc+3atTyPDQ4O5vTp09n/b9myJeHh4bmOyy/JKSlZSUpISEipXud+2rZtm2dtFKHyUhSFl156ieDgYAIDAwH45ptvUKlUzJgxg+eee44LFy5UisUbYuKsIAhCOcka7inPJOWjjz6iY8eO5XZ9oeQtW7aMdevW5RrC+/LLL+nevTuxsbHMmjWrnKIrHNGTIghCiUtLS8v3sXuHNWJiYvI9VpZzfo66evVqgY8NDw+/73DP3Q4ePFjqvSb3Sk1N5dKlS4C1wJYglJSVK1cCZE/KziJJElOmTGHdunXZJfcrOpGkCIJQ4gozl6O0jr23MFpJHVtSjh07hqIoqNXqHHUsBKG4DAYDAJGRkbkmZGdtWqnVass8rqIQwz2CIAjlIGs+SnBwcJmt9hAqF5PJBJBvhfLt27cTGhqaq1Lw888/D8Dvv/+e65x9+/YB5FjhVZGJJEUQBKEcVIT5KELFlZmZyYkTJ4A7icW9snZKHjduXI77BwwYQI8ePViwYAEzZ87EaDQC1t+5YcOG0a9fP1566aXSfQIlRCQpgiAI5SCrJ0XMRxHu1adPHzw9PTl58iQA8+bNw8PDg7lz5+Y4rm/fvjg5OTFw4MAc98uyzIoVK/j6669ZuHAhXl5eVKtWjeHDhzNq1Ch+/fXXIpfcL2tiTkoZExsMCoKg1+s5c+YMIHpShNyWLl1aoOP69etHv3798nxMpVLx9ttv8/bbb5dkaGVO9KSUsREjRhAeHp6jnoMgCP8tp06dwmg0VqrdaAWhPIieFEEQhDLWvHnzMl/yLAiVkehJEQRBEAShQhJJiiAIgiAIFZJIUgRBEARBqJBEkiIIgiAIQoUkkhRBEARBECokkaQIgiAIglAhiSRFEARBEIQKSSQpgiAIgiBUSCJJEQRBEAShQhJJiiAIgiAIFZJIUgRBKBRRzl0oCvF7IxSFSFLK2KxZswgODqZly5blHYogFIosW18uxA7eQlFk/d5k/R4JD7ZhwwbatGnDggULCnWewWCgSpUqSJJ031tsbGzpBF6CxG9LGRO7IAuVlUajQaPRkJaWVt6hCJVQampq9u+QcH/Lly8nNDSUZ555hr179xb6/FWrVhEXF3ffY0JDQ6lSpUpRQywzIkkRBKFAJEnCycmJ5ORkMjMzyzscoRLJzMwkJSUFJycnJEkq73AqvBYtWhAWFkbt2rWLdP68efN45513OH78OLdu3SI2Njb7duPGDZycnOjVq1cJR1061OUdgCAIlYenpyeZmZlcv34dZ2dnnJycUKlU4o1HyEVRFMxmM6mpqaSkpGBjY4Onp2d5h1Up1KhRA4CQkBAuXLhQqHOvXLnCE088wZgxY/J8/K+//iI1NVUkKYIgPHxUKhUBAQHExcWRmppKUlJSeYckVHAajQZXV1c8PT1RqVTlHU6lYmtrW+hzfH19GTVqVL6Pr1ixgtDQUKpVq1ac0MqMSFIEQQCsn3xv3br1wONUKhXe3t54eXlhNBqxWCxlEJ1QGcmyjEajET1tRVSU75uNjU2+jxmNRtasWcO4ceOKE1aZEkmKIAhERUXRo0cPzp8/T69evXB3d3/gOZIkodVqyyA6QajcUlJScvzfxsbmvslEadm2bRuJiYn07NmzzK9dVCJJEQQBLy8vEhMTSU5O5ptvvmHKlCnlHZIglLt6NWxwUhe9FyjVpECUjoCAgBz3T5gwgYkTJxYzusKrbEM9IFb3CIKAdd5AVmIyc+ZMoqOjyzkiQXh4REREkJycnH3Lb1JraTKZTKxevbrSTJjNIpIUQRAAeOGFF6hduzZpaWlMnTq1vMMRhIeGs7Nzjlt5DvWIJEUQhEpJkiT69+8PwI8//sjly5fLOSJBEEpK1lDPvUNPFZ1IUgRByNa4cWM6d+6M0Whk/Pjx5R2OIAglIGuo56WXXirvUApNJCmCIOSQNdRz9uxZdDpdOUcjCEJx/fPPPyQkJFSqVT1ZxOoeQRByCAkJYefOnbRp00ZsBicID4EVK1bQunXrSjfUA6InRRCEPLRt21YkKIJQzkwmE5D/zuPbt28nNDSU77777r5tVMZVPVnEq5AgCPlKT09n3rx5KIpS3qEIwn9KZmYmJ06cAGDfvn15HjNjxgwOHDhw3wqy27dvJz4+vlIO9YBIUgRByIfJZCIkJIShQ4eycuXK8g5HEP4z+vTpg6enJydPngSsuxp7eHgwd+7cHMf17dsXJycnBg4cmG9blXmoB0BSxEekcpGSkoKLiwtxcXF4eHiUdziCgNFoZOPGjXTr1g2NRgPAJ598wpQpU6hbty6nTp1CrRbT2ISyEx8fj6enJ8nJyTg7O5fZdbNen0+1sy12xdmGO3VlHv/DRPSklLFZs2YRHBxMy5YtyzsUQXigkSNH4unpyblz55g/f355hyMIwn+MSFLK2IgRIwgPD+fgwYPlHYogPJCzs3P2ePeECRPIyMgo54gEQfgvEUmKIAj39frrrxMYGMjNmzfvu4pAEAShpIkkRRCE+7KxscnefHDatGkkJCSUc0SCIPxXiCRFEIQHevnll2ncuDFPPvmkqEIrCEKZEVP1BUF4IJVKxd69e7G3ty/vUARB+A8RPSmCIBSISFAEQShrIkkRBKFQrl27xqBBgwgPDy/vUARBeMiJ4R5BEArlww8/ZMWKFSQnJ7Nq1aryDkcQhIeY6EkRBKFQJk2ahCzLrF69mj179pR3OIIgPMREkiIIQqHUr1+fV199FYDRo0eLzQcFQSg1IkkRBKHQJk6ciK2tLTt37mTjxo3lHY4gCA8pkaQIglBo/v7+vPXWWwCMGTMGs9lczhEJgvAwEkmKIAhFMnr0aFxdXTl58iS///57eYcjCMJDSKzuEQShSNzd3Zk0aRKxsbF07969vMMRhIfOhg0b+PTTTxk2bBiDBg0qVluJiYnMnz+fsLAwvLy88PX1Zdy4cWg0mpIJtpSIJEUQhCJ7++23yzsEQXjoLF++nBkzZnDgwAEAhg0bVqz2fvvtN959912GDRvG4sWLcXR0LIkwy4RIUgRBKBGKomA0GtFqteUdiiBUai1atCAsLIxGjRpx4cKFYrU1duxYvvnmG1avXk2XLl1KKMKyI+akCIJQbPv27eORRx5h6tSp5R2KIFR6NWrUwMbGhpCQkGK1M23aND7//HN+/fXXSpmggEhSBEEoATdu3GD//v18/fXX3Lp1q7zDEYSHgq2tbZHP3bx5M2PHjqV379707NmzBKMqWyJJEQSh2Hr06EFoaCjp6elMmTKlvMMRhIeCJElFOs9oNPLOO++gKAoTJkwo4ajKlkhSBEEoNkmSmDZtGgD/+9//uHjxYjlHJAgVR0pKSo6bXq8v1estX76cc+fO0apVKy5cuEDfvn1p1qwZgYGB9OvXj8uXL5fq9UuSmDgrCEKJePzxx+natSubNm1i/PjxonaKUOl5NXbH2abon+Xt9BbYeYOAgIAc90+YMIGJEycWM7r8rVixAoDY2FjS0tL45ZdfUKlUfPvtt3z00Uds3ryZsLAwgoODSy2GkiJ6UgRBKDGff/45AEuXLuXIkSPlHI0gVAwREREkJydn38aMGVOq1/v3338B+Prrr3n55Zexs7NDq9Xy4Ycf0q9fP+Lj44tdd6WsiCSljM2aNYvg4GBatmxZ3qEIQolr2rQp/fr1A+Dnn38u52gEoWJwdnbOcbOxsSm1a6Wnp5OUlASAn59frsffeOMNAA4ePMjp06dLLY6SIpKUMjZixAjCw8M5ePBgeYciCKViypQpLF68mO+//768QxGE/5yUlJTsr52dnXM93qZNG1xdXQE4c+ZMWYVVZGJOiiAIJap69epUr169vMMQhP8kT09PJElCUZQcCcvd/P39SUpKwmKxlHF0hSd6UgRBKDUZGRmV4tOaIDwsNBoNjRs3Bsh3OCer/kqdOnXKLK6iEkmKIAil4vDhw9SuXZvnnnsOo9FY3uEIwn9Gnz59ANi4cWOej1+9epWaNWvSpEmTsgyrSESSIghCqahTpw5Go5ELFy7wyy+/lHc4glDpmEwmAMxmc56Pb9++ndDQUL777rsc97/11lv4+/uzatWqXDWL1q9fT1xcHJ9++mmRi8WVJZGkCIJQKpycnBg/fjwAkyZNIj09vZwjEoTKIzMzkxMnTgDWvbHykrVT8rhx43Lc7+DgwLp167Czs+PFF1/k+vXrgHX456233mLkyJH07t27dJ9ACRFJiiAIpeb//u//qF69Ojdv3uTbb78t73AEoVLo06cPnp6enDx5EoB58+bh4eHB3LlzcxzXt29fnJycGDhwYK42mjZtyr59+6hevTpNmjShbt26DBs2jGnTpvHll1+WyfMoCZKiKEp5B/FflJKSgouLC3FxcXh4eJR3OIKA0Whk48aNdOvWDY1GU2LtLlmyhFdeeQVnZ2cuX74sft+FAouPj8fT05Pk5OQ8l9OWlqzX55gRvsWqOJuit+A160aZx/8wET0pgiCUqr59+9KkSRNSUlL47LPPyjscQRAqEZGkCIJQqmRZzt58MDo6GtF5KwhCQYliboIglLouXbpw8uRJGjZsWN6hCIJQiYieFEEQSp0kSSJBEQSh0ESSIghCmbp+/Xquug6CIAh5EcM9giCUmcTERIKDg0lPT6dZs2a0bdu2vEMSBKECEz0pgiCUGTc3N15++WUARo8eLSbRCoJwXyJJEQShTE2YMAFbW1t2797N+vXryzscQRAqMJGkCIJQpvz8/HjnnXcAGDNmTL77kgiCIIgkRRCEMjdq1Cjc3Nw4ffo0ixcvLu9wBEGooESS8hBIMZv4Ki6SN25e5KIhs7zDEYQHcnNzY8yYMQCMHz8enU5XzhEJglARiSSlEsuwmJmVcIPQK8eYkRDFqtR4Ol07ycz4KIyKpbzDE4T7evPNN6lTpw79+/cXQz6CIORJLEGuhAyKhd+SY/kmPooYsxGA2lpbqqq1hGWkMD0+krWp8XztU4Omto7lHK0g5M3Ozo7Tp0+jVouXIUEQ8iZ6UioRs6KwPCWWtldOMCbmKjFmIwFqG771qcH2wMYs9avHDz41cZPVnDFk8vT100yMvUaGRXxKFSomkaAIQv42bNhAmzZtWLBgQZHbeOedd5AkKddtzpw5JRdoKSrwK8TkyZNLLYhPPvmk1Np+GCiKwl9piUyPj+T87TknVVQa3vPwpZ+LF1rpTq75orMnj9m7MCH2GitT4/kx8RYbUxP5wjuIxx1cy+kZCML9hYWFMXnyZH799VeqVq1a3uEIQrlavnw5M2bM4MCBAwAMGzasSO3ExcUxb968XPd7eHgwcODAYsVYVgqcpEycOBFJkkq8+JIkSSJJyYeiKIRlpPB5XATH9ekAuMoqRrj7MtjVG3tZled5nmoNs6rW4gVnTz6KvkKESU/fqHO85OzJhCrVcFdpyvJpCMJ9KYrC6NGj2bt3L5MnT640n/AEobS0aNGCsLAwGjVqxIULF4rczsyZMxk+fDhDhw7Ncb+joyP29vbFDbNMFDhJ8fLyYvr06SV6cUVRsmf4Czkdykzl87gI9mSmAmAvyQxz82G4W1VcVAX7sXV0cOXfoMZMi4vgl6RolqfEsS09ialVgnjOyR1JkkrzKQhCgUiSxLRp03jsscf46aefeP/996ldu3Z5hyUI5aZGjRoAhISEFDlJSU1NZcGCBRw/fhwPD4+SDK9MFThJcXZ2LpXuoc8++6zE26zMwvUZTIuLYGt6EgBaSWKgizdvu/viqS58D4ijrGKqVxDPO3nwQfQVzhsyef3WRVamuvK5VxB+GpsSfgaCUHjt27enW7dubNy4kY8//phly5aVd0iCUO5sbW2LfO7s2bNxdnZmy5YtPPHEE3h7e5dgZGVHTJytIC4bdLxx8yIdr51ka3oSKuBl5yrsDmrCZK/AIiUod2th58TWwIZ86OGHBomt6Uk8dvUE85NuYRH7pwgVwOeff44kSSxfvpzDhw+XdziCUO6K2tut0+mYOXMmZ86c4eWXX8bPz48ePXpw7ty5Eo6w9BU4SfH09CyVAEqr3cripsnAyOjLtL96nFWp8QA85+TOjqDGzPCpgX8J9nRoJZn3PfzZGtiQlraOpCsWxsZc4/mIcM7pM0rsOoJQFI0bN+aVV14BrJsPCsLDIiUlJcdNr9eX6vX27NlDQEAAgYGBAJjNZlavXk3Tpk35/fffS/XaJa3Awz179uwplQBKq93KotuNMxgdHADo5ODKKA9/Gto6PPC8TNKI4ToxRBDDdWKJQELiBd7BCff7nlvXxp7VAcEsTI7m09gIDurSePL6Kd5x9+VNd98cq4UEoSxNnjyZZcuW8ffffxMWFkb79u3LOyThP0wT6o3GPu8FCgU6P8MMs24QEBCQ4/4JEyYwceLEYkaXvyeeeCJ7ZVBERAQ//fQTX375JTqdjv79++Pp6Unnzp1L7folSRQpKGd6BdrYOTHGM4BWdk65HjegI47I7GQk699UEvJsbwVfM5CJqB7wo5UliVddfXjSwY3RMVf5Oz2JL+OjWJuawFfe1WmRRyyCUNqCgoKYNGkSvr6+PProo+UdjiCUiIiICJydnbP/b2NTdnMBAwICmDx5Mn379qVDhw5ER0czYsQIzp07VykWT4gkpZz9VKUG3f0DsUim20nI9RwJSSLRQN5zRlzwxItqVCEAN7z5m8VEcJat/EpXXi3Q9f00NizyrcOa1AQ+jr3KOUMmz0aEM9jVm9GeATjms8xZEEqLGOoRHjbOzs45kpTyUL9+fTZu3EjLli25cOEChw8fpkWLFuUaU0GUWZKSkJCAu/v9hyH+ixKcljBHiiOeG1jIuzKsAy54EUAVquFFwO3ExB9bcg4LOeHGUqaznw34UZtGtC1QDJIk8byzB+0dnJkYe50VKXH8nBTNprREpntXp6MoAieUk8zMTNRqNRqNqO0jCMXVrFkz+vbty5IlS7h06VKlSFLKbPJBSEhIWV2qQps1axbBwcG0bNkSgHPyAWKJwIIZG+wJoC7N6ExXBjOAiYzkZ0byMwOYyFMMpjmdCaBurgQFoC4taceLAKxjDtFcK1Rs7ioN3/nU5He/ugSobYgyGXgl6hwjbl4kzmQs/pMvZYqicMJ8k4uWuPIORSgBS5cupXbt2vz000/lHYogPDQ6deoEWAu6VQal3pOiKAp79+7lxo0bpX2pSmHEiBGMGDGClJQUXFxceMzci5oE40U1nPFAonhjhI/zElFc4DInWM6XDGV6ngnNfdtwcGVHUCO+iI/kp8RbrEyNZ3t6MpO9AnnRyaPCjWMqisIu8xV+Nu7nnCUWgGDZmxfVjemoro2NJEY1K6O4uDiioqKYPHkyAwYMqDQvqoJQkVWtWhWVSpX9QbmiK3BPire3NyqVqtA3tVpNu3btsFgspfk8Kq2WlqeoTTNc8Cx2ggIgo+JF3sUFTxK4xWp+QKHw33t7WcXEKoGsD2hAfa0diRYTb926RL+oc0QYS3f5XEEpisIu0xUG65bxkX495yyx2KFBg0y4JZophq08l/ELswy7uWFJLu9whUIaNmwYNWrUIDo6mpkzZ5Z3OILwUDh16hS9e/fGy8urvEMpkAInKe+++y6KohT5JpQde5x5iZGoUHOOg+xidZHbCrFzZHNgQ0Z7+GMjSWzPSObxqyf4KfEW5nL6uSqKwh7TVV7TLedD/TrOWmKwQ0N/TXNW2g9itf1ghmsewUdyIhkdi42H6Zm5kA90a9ljuopZEQlzZaDVapk6dSoAX3zxBbGxseUckSCULZPJBFjrnORl+/bthIaG8t133+W4PyMjg8zMzFzHJycns3r1ambMmFHywZaSAicpb775Ju7u7mzfvp2MjAwsFkuBbkajkbCwMGRZ1N4oS77UohtDANjOUi5xvMhtaSSZdzz8+DuwEaF2TmQoFj6JvcazEac5W4ZF4BRFYa/pKkN1y/lAv5YzlmhsUdNP04w/7QfyhvZRXCU73CV7Bmpb8ofdQL6weYZQVTUUYI/5Kh/o1/JS5iIWGw6TpOT+IxYqlt69exMSEkJqaqrYQkP4T8nMzOTEiRMA7Nu3L89jsnZKHjduXPZ9ZrMZf39/qlatypw5czAarfMJT58+zQcffMDChQvx8fEp/SdQQgqcOTg5OfHWW2/RvHnzQu0noFKpaNu2rdh+vRw0oxMhdETBwp/MJInifRKtpbVjpX99pnkF4SjLHNGl0+naSd6+dYkLhtJ7w1cUhf2mawzTreB9/VpOW6KxQU1fdQh/2g/iTW1b3KTcO3qqJJl26hrMtH2e5XYD6KsOwQkbbigpzDLu5rmMX5is38Jp8y3R21dBybLMtGnTAOteJNeuFW4yuCBURn369MHT05OTJ08CMG/ePDw8PJg7d26O4/r27YuTk1OOffVUKhVTpkyhSpUqvPfee9SsWZNXXnmF/fv3M3fu3OzNCysLSSnEq3NiYiKKohRpKfGNGzfw9fUt9HkPq6yJs3FxcaW6Q6UJA7/wMTe5jC81eZUpqNEWu92bRgNjY66yKT0RAAl42tGdd9x9C1QxtyAUReGgJYKfDfs5YbkJgBYVL6gb8YqmOR5y4a+jU4xsNZ3nT9OJ7Em2AI+oAplu8wwaqfh1YZKIYSuL0GCDC164UgXX2/864/HAQnvlxWg0snHjRrp161ahlvwqikKnTp34559/+O6773jrrbfKOyShjMTHx+Pp6UlycnKZ1hnJen1OXBSCczEqzqZkmHEbcLTM43+YFOrV0s3NrcgXEglK+VCj5SU+5H98yA0u8Re/0J3hxW63qkbLfL86HM1M49uEKDanJ7E+LYH1aQl0dHDlHXdfWhajau1hcwTzDPs5ZrGuCtOi4nl1I/prmuNZhOQki62kobumAc+ogwm3RPOn6QR/m86z13yNbwxhfGTTochtZ9nLesLJu3tWQsYJd1ypQl1a0oZni329h50kScycOZP09HRat25d3uEIglCGKuZHOqFEuVKFF3mXxXzKEf7Gj9o0o2OJtB1i58gCv7qc0WfwfcIN1qTGsy09iW3pSbSxc+Iddz/a2TsXeNnyEXMk8wz7OWqJAkCDnJ2cVJFLbgmqJEk0UPnQQOVDR1VtPtSvY5XpJPVlL7prGhSr7WucBqAx7VFjQzIxJBFLErGYMZJCHCnEcZ0zNKYdjhQ9+f+vaNSoUXmHIAhCORBJSiWmKAp6JYZUy1lSLWeRJDUB6t6opdxv5jVpSgf6sJ3f2cg8fAjCl5olFkt9G3tmV63FSA9/ZiXcYEVKHHsyU9kTdZYQWwfecffjSQfXfJOVk+ab/M+wj0OWCMCanHRXN2CgpgVecunuI/SoujpDLK35ybiPrww7qCl7EqzyLlJbGaRkF9F7koE44JL9mIKFdJJJIpZVfE8CN4nkAvVoVSLP478iIiKC1NRUgoODyzsUQRBKWYknKe+88w5paWn8/PPPJd30f5qiKOiUm9kJSarlLCmWsxhJzHHcTdM6Gmo/xVmVuzegHT2I4gLnOcRyvmIYX2BPySYANbS2zPCpwfsefsxJvMmS5BiO6tIZdOM89bV2vO3uR3cnd1S3k5Wz5hj+Z9zLXrP1jV19V3LiXcrJyd0GaVpy1hLNTvMVxuo38ItdH9zzmIz7INcIB6AKATkSFLAO9TjihiNuBNGABG4SwTmRpBTCypUrefnll2nWrBm7d++ucIUFBUEoWSWepPz2228kJCSIJKUYFMVCphJFquUMqZZzpNz+10RKrmMlVDhINXCS65BoOUqmEsUh/RBqad4iQN03x4u4hEwP3uInRpHALVYyk5cZi0zJbyLop7FhqlcQ77j78b/EmyxIjuaMIZPXb13ky3hb+rjbcd3mHLvMVwBQIfGUuj6DNa2oKpf9BDNZkvjE5kley1zGdSWJ8bq/+Na2B2qpcEvnr94e6gni/kNG/tThCH8TxYUix/xf1Lp1a2RZZu/evaxdu5bnnnuuvEMSBKEUieGecqYoZtItV3L0jqRazmEmPdexEmocpVo4yXVxkuvjJNfDUa6JSrIuCTcqqZwxTCXW/A8XjN+QaDlMsPYTNNKdT/S2OPASHzKPMVziODtYzhP0LbXnV0WtYVyVaoxw9+WXpGh+Sb1MqsMFflMngBlQoJO6LsO0oQTIrqUWR0E4SjZMt32G1zKXccQSxWzDbt62aVeoNgqTpABEcREL5lJJFB9Gvr6+vPvuu3z++eeMHTuWZ555BpVKfO8E4WElkpRyts/0PHa63Jv3yWhxlGvjJNfLvjlKNZGl/JeGaiQnGmmnEWX6g/PGb4gzh7Ff14+G2k9xVTXJPs6bQLoznFV8x07+xI/a1KV0d8NMldJIdTiFi+15LFhXvadnuJOU6s9qxQlvtwwGujjipCrfX8kg2Z3xNp0Zo9/I76aj1FN58aS6boHOTSeZGK4DEMj950t44ostDuhIJ5prVKVy1S4oTx999BE//vgj4eHhLFq0iFdffbW8QxIEoZSIMrDlzIIOGVtc5Cb4q3tTX/sJoba/85jdv7S0XUA97Wj81M/jLNe7b4KSRZIk/DW9aGk7HzupGnolmiP6/+OqcQHKXeXgG9OeVjwFwCq+I4GbpfL8blpS+FT/N30zf2WT+RwWFNqrajDPpg8faDrjjQtxZhOfxkXQ8soxvoyLJN5cvjsuP66uxQCNNWn7TL+twLsqX+MMAF5UyzUf5V4SMn7UBiCS88WI9r/H1dWVsWPHAvDJJ5/kWf5bEISHg0hSylmI+mcet9tBC9t51NWOxFfdHUe5FnIxd+51kuvSynYRPqquKJi5ZJzFMf07GJSE7GOeZAAB1EVPBsv4EiMlt3FgjCWNL/XbeSlzEetN4ZhReEQVyC+2vZlu+wwN1F4MdPVmT/UmfOtdg5oaW5ItZr5OiKLppaO8HHmWZcmxJJtNJRZTYQzTtCZUVQ09Jkbr1pOs6B54TtZQT+ADhnqy+FeyJOU6Z/mSwZxiV3mHwogRIwgICCAyMpJZs2aVdziCIJSSEk9S+vTpw4ABA0q62YeWvVQNqQSqnOZFLTkQrJ1Mfe14ZGxIsOxjf+bLJJgPAaBCQy8+wAFXYrjOen5EoXjl4eMt6XyjD6NX5kJWmk5iwkILOYD/2fbia9vnqH/P0l6NJPOSSxX+DWrMT1Vr0cTGARMK2zOSeTf6Mo0vH2Fg1Dn+TIkjzZL3JlulQSXJTLLpiq/kTJSSwkT95gduTHitgPNRsvhjHUaqLEnKEbaSQQon2VneoWBra8ukSZOws7PL3oRNEISHT4lPAPj+++9LukmhGCRJwlf9LM5yA07px5CuXOGo/g2qq4dQXfMaTpI7PXmPRUziBGH4UTt7GKgwkpRMlhiPsMJ4HD3WN42msi9Dta1ppvJ/4PkqSeIZJw+ecfLgkiGTNakJrE2N55whky3pSWxJT8JWknjCwZXnnDzo5OCKvVy6EyZdJFum2TzNUN0K9pmvMc+4n//TPpLnsTnno9QvUPt+1AIggVukk/zAIaLypKBw5XYSFseNco7GasCAAXTp0kVUsxaEh1ixelIaN27MoUOH8n1827ZtfPzxxwwePJjXXnutOJcSislRrklL20X4qp4DFK6YfuKIfgR6SyxBNKAz/QHYzAIiOFvgdlMVPT8a9vJixgIWGw+jx0QD2ZtvbZ9ntu2LBUpQ7lVTa8f7Hn7sCGrMjsBGvOfuR02NLTpFYWNaIv938yINLx1h+M0LbExNQGe5fw9HcdRWVWGMjbU67wLjQf41XcrzuKz6KAWZj5LFDkc8sX5/7l6KbFRSiDPvwqyU3PBbcSURQwrWuTmJRGOmfOcNgXUjNZGgCMLDrVg9KadOnaJNmzaMHz+ecePGIcs5c56OHTvSsWPH7Bn4onZK+VJJttS3+Rg3U3POGqaRZDnMft3LNLCZRGvVM0RxgdPsYQVfM1iZhgVbUhQdSUomyYqO5Nv/JnHn62PmKNIwAFBHrsIwTWvaqIJKrMhWXRt7PrKx50MPP07rM1iTGs/atASuG/WsSU1gTWoCjrJMFwc3nnPy4DEHF7SFrG3yIF3UdTljjmaZ6RiT9Vv4We5NkJxzk82CLj2+lz+1iSOSCM7jY7Yj0vQn0eYtWNDjq3qe+jbjHtxIGbjKqeyvFSwkEE0VCp+AlpZdu3Zx8OBB3nvvvfIORRCEElSoXZDvpdFoMJvNSJJE69atWbx4MdWrV8/zWE9PT+LiCrZK4r+grHZBBjApZlLQ50g2UixX0ZhmoSUSgEu04TDNcbf9B1s5jQSzCwd1jVAK0NlWQ/JgqDaUx1Q1y6QCqKIoHNenWxOW1ARumAzZj7nIKj7y8Gewm0+JXtOkmHlbt5qjlijs0VBHrkJN2ZOasge1ZE/+lacTL0XyEiOpT8E3wTukbOCQ+XsCTSa0luQcj0moaWO7Glu5aCX6C+t+uyCv4jtOEJb9/958VGEq5Z4+fZqGDRuiUqk4ffo0desWbMm4UPGJXZCFYvWkBAUF8fXXXzNkyBD27t1LkyZNmDlzJoMHD851bHF2UBbuT1EU9pmvcdAcQRK3ezvuSkiyejrupaY9XTlMa+kcNdmDRrnAOl0LGtidw12VTB3tVW4Y6uMq2eEi2eIi2eIq2eGM9V9XyRYf2ZkWcgByGZYnlySJpraONLV1ZLxnNQ7r0liTGs+61ARizEY+ib3G007ueKu1JXZNtaRiqu1TvJH5J9eURI5Zbty1Q7OBJxysyd4CXSS15H3Ulj15RBWETT6rtDItUUSYlpJqWkft24X7JDR4qzrhp36RS8bZJFmOEGH6jdra8u0dUFCye4qccCeVBOKIKteY7tagQQOeeeYZ1q9fz8cff8yKFSvKOyRBKBEbNmzg008/ZdiwYQwaNKjY7Y0cOZIZM2Zw5coVgoKCit1eWShWkiJJEt27d+fUqVMMGzaMNWvWMHToUNavX89PP/2Uo4dA7LFROo6Zo5hr2Mtxy/0nM0qAE7a4SrY43042XCQ7nKWWJFjCcbMsppoUy5vsRDL1IEwTRnVNJB9qXqIBbcrmyRSBLEm0tHOipZ0Tk6oE8nxEOId0aSxLieVtd78SvZa7ZM9iu5e5qiRyyRLHRUs8Fy1xxEsnAUi1OLDbfIMws/VnUU1y4xObzjRQ5ezVMSqpHNQNwkgSADpJw021A0+pv8JPshbdC2Igx/RHiDKtIkgzOEfV4LKWSDQpxCOjpjHt2c1q4ivI5Nksn332GRs2bOCPP/7gwIEDtGpVMXp5BKEoli9fzowZMzhw4AAAw4YNK3abO3fu5Jtvvil2O2WtRFb3VKlShVWrVvHLL7/w3nvvsWbNGvbv38/PP/9M165dS+ISwj3OmmP40biXfbc35tOi4il1ffwll9tJiC0ut3tAXCU7nLBBle9cjbZkWp7mlGEsKZZwFOOvPKo0ZY8mgTXSbLwIoAoBZffkikglSbzi4sUhXRq/JcfypptviffwqCUVtSRPasmedLl93wZiOAQ0ohktte25aIljj/kq15VEhulWMEDTgsGaVmhuLzW/aVqHkSRsJV/qaUexQd5ClHSKW8SQlVa5y4/gKNUmTblApGkF1TVDSvR5FEZWL4o/tbIr41aknhSARo0a0b9/fxYtWsTo0aPZtm2b+GAkVFotWrQgLCyMRo0aceFC8ff3SktLY/DgwdjY2BS4+OHkyZOLfd38fPLJJwU+tlhJyr3TWQYPHswTTzzBwIED2blzJ08//TRvvPEGX375ZXEuI9zlqiWB/xn2sd18EQAVMs+qG/CqpiVVZMcit2sn+9HcZh6XjD9w3fQbkukYLS0unNCaWCZ/yVCmYUPhdwUua92d3Bkfe41rRj17MlNoa1/6PRBZ9VFaya2pLzcFIFnR8bX+X7aYz7HAeJBd5it8ou1MLdmDSNOfAASqB+ChaoM/17jCKSI5T3M6A9aex0DNIE4bxhFhXEo1dT9Ukl2pP5f7Pb9AGuCBdTVNRetJAeuL6tKlS9m+fTtbtmyhS5cuDz5JECqgGjWsHwZCQkJKJEl577336N27N4sXL+batWsFOmfixIlIkpTrfb64JEkquyQlOTk5131BQUHs2LGDr776ik8++YTZs2ezbds2EhMTi3Op/7yblhR+Nu7nL9NZLChIQBdVXV7ThuJfQhvzyZKG2tr3cFO14LR+EliSCdGlckFrYI16Fr0YiUTF/nRqL6vo4eTBouQYliTHlnqSkk4ysbcnH9+9X4+LZMsk2y48bqrJF/p/uGiJY7BuGW+onPFSrqPCAR+1tR5N1maD9xZ181I9wWXJj0wlihumtQRoepfqc8mLtT6KdWVPEA3woCoAmaSRQQr2VJzJgIGBgYwYMYJvvvmG0aNH07lz51wrDgWhMrG1tS12Gxs3buTIkSPs27ePxYsXF/g8Ly8vpk+fXuzr301RFMaMGVOoc4qVpMTFxTFt2jRee+01qlSpkn2/JEl8+OGHdO3alVdeeYWTJ0+Krtciireks9B4iFW3q7cCtFfVYJj2EWrKpbMqyFPVjlDbxZwyjCfZcox6hjhuWjayW1OdtlLPUrlmFqOShArHYm0L0M/Fi0XJMWxMSyDBbMRd9eA9j4oqayjEm0Dsccr1eAd1LZqofJmu/4cw82XizKvxksBB1RG1ZO2ZyiqPH0cUmaRid7sdWVJTTf0K54zTuW5agp/6xWJvl1BYidwilQRUqAmgLhpscMGTZOKII4pqFShJARg7dixbt27lnXfeKfFPgIJQ1or7vpmQkMCbb77J+vXrc63YexBnZ2cGDhxYrOvn5bPPPivU8cX6mDFhwgT0ej1z5szh4sWLuR5v1KgRhw4d4sMPPxRJSiGlKDrmGPbQM3MhK0zHMWGhpRzAPNuXmG77TKklKFlsZR+a2cwhSD0YkKhqSiNB9zXnLFtK7Bp6SyyxpjAuG3/iuP59dmV2IyyzM7szn+GWaVOR32Qa2zrQ0MYeg6LwR0rpLnu/Ux+lYb7HuEv2TLN5mgnaZtS73esyzSTzh/E4APY44367hyKKnH9HVdXPoMEdnXKTaHPJfe8LKuv5+VEbDTYAeN6eOVNRKs/ezdPTkxMnTjBo0CBUqtKtSCwIBZWSkpLjpteXTaHG119/nbfffpvg4Pvvyl6RFetj2YQJEx54jEajYfr06WI79QLKUAwsNx5nifFw9tLhBrI3w7VtaKEq28mrsqSmpvZ1XFUhHNF/iIOi45ruYzTaRGqoCz70oCgKeiWGVMtZUi1nSbGcJdVyBgPxeR5vIJ7ThvHckNdQR/shjnKNQsf+iosXo2Ou8ltyLENdfUotSS5oETdJkqitnOCqpBBHIDdwYobhX7wlJ9qpa+BPbRK4SQTnqUVI9nkqyZZqmj5cMs7mmnEhdvJjHLXcpJ2qBuoSLlqXl7yenwe+XOJ4hZyXAjk/fSqKIj4gCUUWW1+NzrHob5OpadbfvYCAnK/dEyZMYOLEicUJ7YF+//13YmNjeeedd4p0vqenZwlHVLR2C/zd79+/P7/++muhA8ry6aefFuv8h51BMbHGdJr5hgMkYp19XUPyYLj2EdqqqpfrC62HqjVt7Jbxj34g9pYkrhi+IsMcTj3tqOwhiyzWhCSaFMuZHEmJkYQ8WpZxkIJwkuvjLNfDSa6PgxxIpOlPrhrnk2g5xAHdywSoX6a6Zkiua919zfBj59iwfBPbN4QR+lgL3p/5ERNjr3POkMlhXRot7HIPxRRXGknEEQlID9yvx6IYiDKtAeBx7evcMKtZbjrOp/q/WSS/jL9clxOEEZXHZoN+6p5cNS4kXbnMl7qZ/KM40Vcdwts27Ur8Od3t7vood/cU3Zk8W7FW+NzNbDazaNEiZs2axY4dO3B0LPqkckEoroiIiBzF3GxsbEr1ejdu3GDcuHHs2LGjyO8de/bsKeGoitZugZOUNWvWYDQaCz2uBaDT6VizZk2hz/svMCkW1hvD+dm4n1tKKgB+kgtDta3ppKp9n2XDZctB8uVRm4WsNw3B1xhLtHkjqbpw6mlHY1SSbycj1sQkq/7H3SRUOEjVcbqdjDjL9XCU66CSck8Mq655DR9VV84bvybOHMZ1069EmzdTW/MeXqqO2X90t6Ki2bB8CxuWb+bK+avZ56/5bSPvTHyDZ53cWZ4Sx2/JsaWSpGTt1+NNYPY8kvzEmP/BSAI2UhWqqB5jhAqOWW5w3hLLZP0Wxtg2AQkiuYCCBemukViN5IS/+kWumRZRU9nNP3RlqekobdXVi7Q3UkEl3DUfJWveDFTs4Z4sFouFzz77jIsXL/L1118XajWBIJQ0Z2fnMq04O2TIECZNmkS1atXK7JoZGRmEh4fj5+dH1apVS6zdAicpaWlpPPvss/To0aNQM451Oh2rV68mPT29SAE+7F43ruSmwTo+6Sk58JomlGfU9VFLFW883V3y5RHNVNbLE6hriAXlKkf0w3MdZ01IauToIXGUa+WZkOTHTvajic0M4sw7OWf4Cp1yg1OGMbgoLbi57RHW/3KYg7uOZM9bsbHV8ni3dpw8FM6N6zc5tOsI/Z5syfKUOFanxjOpSjWcVCU76bQw+/VEmv4AwFfdA1lSowUm23RlUObvHLZE8rfRH43WBj0ZxBGVqy7NDakNJmUxgVIsj2Nih6Jmqv5vfrXri4NUOp/Ksvbr8adO9nwUuJOkWDcaNKEq+c3Ui02j0TB16lT69OnDl19+yeuvv55jcr8gPKzmzp2Lvb09/fv3L/G2v/vuu+yvJUnirbfeAmD16tW89tprJCUlATB8+HBmzZpVItcs1KvLli1b2LKl8JP3xLhw/iJIxgNXBmhb8IK6MbZlvHqjsGrTjBBVf3bb/k4dQyIeZhOOUlCOHhIHuRaqEnrj9FS1w1nTjL2Xp6P33kyy5hDa9ofwOKtCc0hFo2YhPNO7Kx27P46TsyNfjv2W335cwf6ww4x7tgO1tbZcMOhYnZpAf1evYsWiKAqzEm9iVhRGuPtyVbqzNPd+Ui3nSbYcR0KFn7pH9v2Bshvvax/jM8M2fjIeoK8mgDjpIhGcz5GkxFhS+cxwmMepSUsu0FO+xjlLCDeVFL417GSsTadiPa/83F0f5W5OuKPBFiM6EonOTloqml69evHFF19w5MgRpk6dyrffflveIQlCqfvyyy+5fPnyfd9zs/bYmz9/fqHK7b/77rvY29szevTo7O1vwsPD6d27N0ajkZYtW9KuXTtWr17NTz/9xNChQ4v1XKCQSYqiKLi6uuLg4JDrsejoaLy9c2+ElpmZSUJCXvMRBIBXVCEMsW9fap+GS8Nj9OSGdJFwmyO4KlXoL32SvTqlsBRF4WqqwsFYCwdjLZyItxDkJDMmRI3h+mXWL9vEX39sJS46Ho8gNc9PMlH/CQsd3zTT5XV3gu164ql6LPsPslX75vz24woOhB1GkiRedvFiUux1liTHFDtJ+Sc9mU/jIgA4b4rByzuKgsxHiTRa95KponoCGynnpLFn1MHsN19nm/kC4SYFL421XkozOgJgVixM0G8mGR1RUltacokkyx7GaHrxjuEI60zhtFPVoJ268JOL78eEgQscBaD6PSuXJCQ8qMotrhBHVIVNUmRZZvr06XTu3Jk5c+bw7rvv5rsBqiA8LIKCgvKdlnHp0iVMJhM1atRAo9Hg4lL4OlJLlizhueeey/7/Bx98gNFo5Mknn2Tjxo3Issy7777Ls88+W/ZJypYtW+jUKe9PbfXr1+fMmTN5Pvb333+L6o/5eEXVrFIlKAASMj14i/8xiiQphjl8QAf60JqnkXnwMFVUujUhORRr4WCMhfh7VuPF6y30+isN85/rULatBEXBxc2ZTh070d7nSXy0sVwwfo1OdYsThg/xkNtQR/sh9rI/zduEoFKpiLgcyc3IW/T08eSz2AiO69M5pUunoW3uBLsgLIrCtPiI7P8fN5+gM+CtBGIn5T8fxaikcsu8CQB/de4aM5IkMcrmCU5n3iLSbIOXBqK4U2FyvvEAxyw3sEfDR7Z9STJGEmPeCuZ59FW/ym+m43yu30ZDlQ9u+UwsLoozHEBHOi54Uo16uR73xJdbXKmwK3yydOrUiU6dOvH333/zySefiMn7wkNv27Zt+T4WFBTEtWvX2LZtW5E2GHR1dc2RoOzfv5/NmzdjY2PD3Llzs4sn+vv7l1gB1wLPyvTz88s3QYH7F53p1KkTPj4++T4uVD52ODGQSVSnESYMbGURvzCOGCJyHRubqbDxuplJh41036Tjuc0Gph4xsSnCmqDYyNCqiswAfx12P01COXUQRa1F7v067p/N4+OFM9gavobRX7xP4xYN8VJ3oLXtCoLUryKhJt6yh/263lw2/Iidk4rgEOub6oF/D+Op1vCUo3UH7t+SY4v8fDemJXBKn4GjLDPTuwb+9rd7VNJ90Vss+Z5307QeCzocpJq4yiF5HuMk2TDRpgspZuunmhglAh3pHDFHMt94EICPbDoQILtSW/MOahxJsZzmKekiNSR3EsnkC/32Ei1edox/AGhChzwTT49KMHk2y7Rp0wDrJ8ArV66UczSCUHAmkwmwrlbLy/bt2wkNDc0xV6Q0+fj45HidGT16NJIkMWTIkBxJT1xcHBERud8LiqLAScqCBQuKdaFFixYV63zh/owWhWupFqIzFNKMCuYyqLbpShX68wndeR0b7IniIj/yIZtNy9kSpWfaUSMvbtHz1F96PjlkZN01MzczQCVBEw+JIfVUzG2n4Z/uNsxupyV9xc+kHdiJ79of6JJ5GluVQrJnIDPNTVgXlXMPCZVkS03tG7S2XYq7HIoFA1dM89in680TA60TJA+EHQbgZRfrMM+fqXFk3iehyI9ZUfgi3lqE7f9cq9LbpQrNnG8BsCfZm8E3zqPLo11FUYi6PWHWX93rvol8E5Uvr2jakmGxBUlhj/kgE/SbsaDwtDqYLmpr4mUre1NHOxKA66Z5jNbURoXMDvMlNpvPFfq55SWJWC5j3dm5KY/neYxnBd7D517Nmzdn6tSp7Nq1Swz3CJVGZmYmJ06cAGDfvn15HpO1U/K4cePKJKZWrVoxevRowsPDGTFiBP/++y8uLi65Vs+NHDmyxD40FXi4p2PHjsW6UHHPF/JmURQ2R1j44bSR6Hs2t7RVgYMaHDQS9mqwV4ODOutrCQeN9V/r/bfvu+v4rPvsNdbejrzeZCUk6hifICGhMftt52FyOcw+9XKSHfZxPHEIyWk1kID6rhItvGRaVpFp4iFjr87ZVnRUDKsWrwdgwsxRtGjbjMh0C5MPGzkSp/DZURPboyx83EyDt/2dc+3lQJrafE+M+R/rEJByg4Dnb9BPktn5wwEURaGdvTMBahsiTHrWp8XTy7lwqzz+TI3jgkGHm6zm/9x8SCWRTPkWKBKJumr8Y05m4I1zzPetg718p9ch0XKAjOx9eh68G/ggTUvGmb1Avs5883rilGpUk9z4QPtYjuN8VN2IUf1DnDmMDNN3DFG/yY+mg8zQ7yBE9sNbLt5y65Pyv4BCdRrhRu55ZnCnVkpF2w05P2X1Ii4IJaFPnz6sW7eOjIwMAObNm8fKlSv59NNPGT78zorKvn37EhYWxoABA8okrq+++opu3brx1VdfoSgKtra2LFiwIHvl3NatW5kxYwZbtmwpscUyFXspiXBfJxMszDhu5FTi7WW4MpgUMN9OYHVm6y1ef3dGW7TsViWRO9HRSKQbFc4mKZgVJ+BdfP330bDJIlxcr9O+wwQC0rrzvM1LuGvvP+9m/ndLMBqMNGvTlBZtmwHg7yAzt52W3y+amXXaxN4YC7236fmwiYZuAXL2H4EkSXirO+KheoQrxv9x3fQ7Ic9ZqNM+mhMRi2gcMIC+LlX4Ij6S35JjC5WkGBQLM+Ktb8Qj3KvipFJz6vaqFx8piPlVm9A/6hxhGSkMiDrPIr87iUrWsuOq6qdRSw+eC6OSZDrJ7djNEpzlFLSomGrTFTsp5yQ4SZKopx3D/szjpCnnaSsdZ5fszWlLND8b9xdrtY+Cwgn5XwBCeCLf47KSlExSySA1z32LKqpbt27h7e0tVhwKFdbSpUsLdFy/fv3o169fgdu9evVqESOy8vT0ZO/evezdu5eYmBgeeeSRHDVRUlJSGDp0aIlMmM1S4CRl+PDhzJ07t8gXKu75wh23MhR+OG1kU4R1iMFOBa/WVfNybRU2MhgskGGCdJNChvGur+/6N8OY877028dlmBTSb/9r/b/1mmYFUo3W251E507CE+Ag0aKKipZe7QlWQtjPAk5Ju4hwWstvHKI7w3PsEny3mJtxrPp1HQCvfTA4x5J1WZLoV1tNG2+ZCYeNhCcqTDhkZHuUzNgQDe62d95o1JI9tbXv4q3uwtZzr+MamE4cP3BMf4gXnEbyVTzsy0zloiGTWlq7An2vf0+O5bpRj5dKw6uu1l6Fu+ujtLF35nf/evSLOsvuzBRejjrHYr+6qIkl1hwGgJ/6xQJdC6C+3IjdgLsqlQ+1HaityjuhspE8qasdxSnDWK6bFjBI/SkfWqI5ai5ez0ZalVskS3HYYE89WuV7nBZbnPEkhTjiicI+j8m1FdHkyZP5/PPP+e233+jRo8eDTxCE/6ADBw7QqlXef/8qlYq2bdvm+diLLxb8ta6gCpykLFu2jNmzZxdp63Oz2cyyZctEklJMmSaFRedNLLpgRm8GCegeqOKNYDWednferG1U1pubTfE/KVoUhUxTzkQn43ZSk24CWYKmHjI+9ndfyxV/3qUhbdnA/4jnBgv4hJZ0pSP9sCFngrDw+yUY9AYatu/I9B01sd+dyMzhjnh7aLOPqe4s88tjWhadN/O/MyZ23LRwLF7PmBANHf1yTux0luuTtGUQu+Pm0nWkQoJmH0mWV3jTvSffJ7Ti9+RYxld5cCXGTIuFmbd7Ud5x983uIbm3VHwrOyeW+tXj5ahz7M9MpW/kWaZ77wAsuMktCrX3kA+BqNGCZOARjet9j/VWdybGvJ0Y81Yk81zUtCFSSSZRycix0ufeCrYGxcIvidF0dnSl5j3JWnw16waHjWiXo4BbXjzxJYU44rhBQCVJUoxGIzqdjrFjx9K9e3fUatGZLAj3GjlyJJGRkbzwwgu89NJL+SYsZaHAf6HJyckMGDCAPn36YG+fe6ljRkYG27fnXmGQmZnJmjVrSElJKX60FUR6ejpjx45lxYoVmEwmnnzySWbMmJFnnZiSYFEU/oqw8MMpI7E6630hHhIfNNZQz610y+bLknXuioMGqlC4pKcuLQikPltYxFG2cZBNnL/dq1KTpgDE3orjz4VrQFaTHPwGeosanV7Nq59GM7SDiWe7BaJSWZ+jWpYYXE9NWx9rr8qFZIVR+410DTDzYRMNLto78YW2bcUPT87j8k47Pv4riGTlGK3sFzNBvZM/kgdgUPzRPmDLgYVJ0dwyG/FTa+l3e/JtKgm3J4vmrI/S3M6JZf716Bt5lqO6JC4aV+IgWyfMFoYKDVWpQQRnieB89rBKfuppPyIp8zA65So9JA9WKMGcMt/Krpuykz/ZzRp68l72xoXzEm8xJS6CnRnJLPG/k1xkkkZy1evA/Yd6snjgy2VOVJp5KQAffvghc+bM4ezZsyxYsIAhQ4aUd0iCUOGEhYVx8+ZN/vjjj3JPWCSlgFNwZVku9hhufsuoKptXX30VR0dH2rZty549e/jhhx9o0qQJ+/fvL/DeRikpKbi4uBAXF4eHh0e+xx2PtzDjhHWYA8DXXuKdRmqe8C3+z6MsXeYE65hLEjEANKUDTzKQWR/PZ8mcZVR98UvMPo3BZASVDJIKy61r+Eu3GD6kAaEtcyaABrPCT2dNLDxnxgJ42sLHzTS09bH2dpjNZh6v9TRpKWks2jIX9ybnuWD4DjPpmBQZRenDkw4jkCXtvaECkGYxE3rlGAlmE197V6fv7STlJLtYyUyqUoNhfJEzJiWBY7qtHNato47NORLMLqxN+ZY+zlXp7Oj6wKQoyxYWspd1hNCRZ3n9gcfHmv7lhGEkChKLlA48onmO17VtULAwg2Gkk4QdjvwfX+JCFTpdO8lpfQausorwms2zf4/2mTewWTUfL6Uaw6UZSA9ISg/wF3/xM7UIoR+VZ2LqN998w/vvv4+fnx8XLlzAzq5gQ39C2YuPj8fT05Pk5OQy3fsm6/X5/MGWOBVrF2QTdVoeLPP4S1pWwrJixYoyT1gK9TFcUZQi3x4WsbGxNGzYkO+//57evXvz7bffMmbMGI4ePcru3btL7Do3MxTGHDDw2r8GwhMV7NXwZgM1Kzpr6einqlQJCkANGvM6XxPK04DEMbbzg/ltdt7agEPjPtYEBegRomd0T+seP7JPIBEZToydsJ/R4/dy5eqd3jitSmJEAw2/PK4l0FEiTgfv7jEy9YiRqHQLKSaZpo+FgkrFgbCj+Klf4BHbFSSYWqGWLGjk39iv60eS+Xie8f4v8RYJZhM1NbY5JtpevadUvM5yi+vG3zmsG8bOzKdIVb6ijo11KfDKlG78nZ7GkJsXaHb5KBNjr3FOn/HA71V1GgHWxE65Z6KzoihY7vl7qqJ+jKqqp5FQGCj9g71pNpmWSCI5T/rtzR4zSeMPviFcn8Lp2zEkWcxcN96ppHdc3gFAY8vjD0xQAKrd7km6ymmM6B9wdMXx+uuvU61aNaKiovj+++/LOxxBqPCqVq3KW2+9RVhYGLt37yYwMJCRI0dSo0YNRo4cyYEDB0rt2oXqSfnll1/o06dPoTcY/OOPPxg4cOBD0ZMSHx+Po6Njjq22jx07RkhICCtWrKBnz9xVRfOSX09KhklhwTkTSy6Y0Vus806eC1IxPFiNp23lSkzyE8FZ1jIne5gg7kRzrvw1kJo2Kr5919pjsugfA0t2GJFQUC4cwZSchCzD010DGfhKPdxc73z/dWaFWadN/H4xn98vixk7jQqtCtDqcKi/lIGuK3BVWZOeS7EvYGccQK8a9qgkNclmC49dPU2yBX7wqc3zt5OUFOKZz3j0liieMLfAYr5AqiVnlWUnuT7JaY+x5HQ7mvv5kuKSwIqUOKLNxuxjQmwd6ONchS6OblRRaZDvSTgN6JjOICyYeJPv0Rvd2ZWZwp6MFHZlpBBrNrLEry5t7e+UtDYrmRwyfE6KaROypCChwaJuxD5NLAFSI25xFR3pyJmPMzuiZfZ5P1atxbNOHkRwll/4GMki8455Di6a/Hv3sigofMsbJBNLbz6670TbimbRokUMHDgQV1dXLl++jJubW3mHJORB9KRUbGXRw1LgJMXX15cbN4peuKlq1arcvHmzyOdXZIcOHSI0NJTr16/j51ewfUzuTVIsisKG69altnG3550087TOO6nrWrrzTspDTGwMH/7xNtWHWZBUFkwZDjyvfZVm6seQkLBYFD5boWfnaTOOtlDbcoGDe6zzJezt1LzcpzYvPlcDrfbOpNnDsRa+OG7kepqC8T412+KCLqFyimGgzSYe9fynANFKKEBWk6ocvRsyrnJTqqgep4rqcQ5Ge/HhPmP2MvBxIWq6B6nYkZ7EbymxbE1LwnTX+RokfNRaqmq0VFVrqKrWUlWtJcnpezLV5wmP60pYQqNcETWysWdztYY5etQsikK/jM95nH3Ukqx/a0Zk3DXPYacKZpX0K4oksenGc+h1DbhpMvK6mw/dq1zkL37BiB7XyEDe8J5W4GHL3y2zOC9vpykdeI4RBTqnIjCbzYSEhHDhwgVWrlzJU089Vd4hCXkQSUrlkVfC8tVXXxW73QJ/94u7MufHH38s1vkV2V9//cXgwYMLnKDc62icha9PGDmTZH3z8nOQeLehmscr2byTwvhpxmoib7xPquJIrR7zcKh6nfX8wDn20IZn0cp2DHxBQ7RR4coNNclufkz91IdF889y/mIK8+afYf3Gawx9tT6PtfNFkiSaV5FZ1snaw2JRFPRmhWdCXyEhMZ1Pf55CveYNMZhhU6YX09PSWK7vzSMpPTDbfY1KfRVZyi9fV5DgruLwKjzkUKqoO1BF1R6t5A7AoVgzo/dbE5RAR4lradYidI4aic7+bnRydCPOZOSP1DiWJ8dy1pCJEYUIk54IU87hkqYmH1pXOY+d7UVkGtHYxoG29s40s3PkrZuXOKnPYHN6Il0d3bPPkSUJL7k+CywOvK9SY2tZgr1iJNW4ilTjKtogkyGpqOU+H7WxC1NjG5Bov5m1WKtaBlka4niyPvnUb8tlv+kai41xtLKD8xzGgrlAezdVBCqVioULF+Ll5VXkv1tBEO7IGhJ66623uHHjBqtWrSqRdgvck/KwGzVq1APnlAwePDh7e+osiYmJdOjQga1bt2ZX3SuIrEz97a0x7E6xFsJyUMOQemp611ShVT2cyQnA1csxDH5vH+pGHZBkmeHdwLP1Jv5lBWZM9z9ZkZAtGgwZEmadCrNBhVbS4uXmjJOdHRq02OGEI2444cbGn7azd81Ruj/1LK+PeB0ttugtFkIuHyXRYmKxb106OrpyIMbM2COx2NfdQPWqB6hiY93nR0LBGTeCldY0IBRn3NFK7rmKs51KsPDGLgMZJni8qsy0UA1fHDex8ooZtQQzHtHwqE/ON3CjYiHGZOSmyZDrliFfo6b3XFSKLSMs83BT3Rli/Twugu8SbtDAxp4t1RrmGC76ybCPX4wH6KpNB/UhGpvcCTCbSbNcxkx6juvHSY6ctfNAUmQ6SH0INT7NXxs30a1btwL1pMw17GGR8QBP2O9DI5l4lSnZ81QEoSSInpTKKTMzEx8fH5KTk4vdligScNv06dOLdN67777L3LlzC5Wg3C3sloLGHp6vrmJ4fXWO4mQPI53OxPtjdqOu2xZJlmlVC54PtUfiReoRyt/8Shw3MGHAiAETRkyKHiWrl0NSsKgMqJ1AfVeR0wTiScjjeuqh0G6oB0ns5nN2Y4M9TrIbL1Wz44JOwwZlH3ZUJ9LrHO27HEKRrPNaDBYtNc2taKt5guo0Qpby7yG4mGzh7d3WBKWVl8xnrTSoZYlRTdWkGRW2RFr4aL+RHx6VCPG8M3SnkWT8NDb4aXLXI1GoyZcsIVNKJVV1Bbe73vyHu1Xll6RbnNZn8FdaIk873elNaShbN/LMkC9iL0kEanrTTNMJg8VMx+t/U0Vzju5VNhNgisFTSQODD09KY2itaYwRY6447ueKJQEFmVizG77qWM5ysNImKXv27MHLy4tatWqVdyiCUKFdu3aNZcuWcf36dTIzM3MtjDEajRw5coS0tLQSuZ5IUorhiy++4Nlnn6V169ZFbsPNrNDRBhoZ4UqkGb27jJeLhOoh7EkxmxUmfrqfVI9GyLb2OKj1fNTLLXtIqwr+9GVMrvMUSWHbCT1fr0tF1hh4vbtEq/pmjBiIS05jw9aLHD19C0lrxsbBTNuOrgQ2kEkjgXh9NBcizmJbVYXaQUJPBnoykLRQ5/bq463stH4hQYzOm2txLYg/+iy7JQeatdEiu+c/JygizcKIXQZSjNDIXeKr1prsXjCVJDG5hYZ0o5Hd0Rbe3WPgx3baAtW2kZCpSWNOsZtLHM/x5u+mUjPE1YeZCTeYER/JU45u2b0pDVQ+2Eo67FXJSIpEXck6SXZnZioXDa4kmh/lUU17jisf4G5OQUpx4abWFwo2BSWHKxZrWhhj8sRXHcsZ5QCdpf4FWhlUkUybNo0xY8bwwgsv8Oeff5Z3OIJQYa1fv55evXphMBgeuGpX7N1TzubNm4eHh0eOMsCxsbF4eHgUripvuIUwGzNh3FmZolaBj6uEr7uMr4eEr4eMr7uEn4eMdyVNYBRFYdaPJzl0RY2qRlVQLEwa4IyT3YOfi4REp8a2XI+WWbbTyJwVUONVW+oHqPB1gcY9m3C+aRJzfzrN8Z3xrNgCv8x9ggB/R7CBZ/v2IeJyJF8unUTTzvVIJZFUEvgu8QwJJNDSXqGW2ocpEVWINXjxm0995jvaEJ6oMHyngWmtNLSrmrsnJTpD4Y1dBuL1UNtF4ts2WuzVEga9gc2rtvH4U21xcnFieqiGt/cYOBKn8OZuA/Me0xLk9ODfkRo0yU5SOtAnx2P/51aVn5OiOWPIZENaAt2drKtxnCVb6qutS4ydCcIB6wqgVSlxADzn5EEdKQhv9UwOmQcTaneMQ5mR9MDzgfHcTa+YiFKsXbmyJQCLcpYk6RZxRFEF/0K1Vd66d+/OuHHjWLlyJfv27SvWhw5BeJiNHDkSvV5PkyZNePnll/H09Mz1fqcoCmFhYSxcuLBErllpk5QNGzbw6aefMmzYMAYNGpTvcQaDga+//pr58+djMpnw9/dnypQptG/fvsjX/vnnn/nrr78YOnQomzZtQlEUYmNj2bx5M0uWLClUW8OeVJFiVHMjQeFGgoUbCQpGE0TGK0TGm+FCzuNVMni7WhMWX3drAuN3+19vVwl1BU1glv95iTVbo1EFW5emPep/k0ZBdQrVxqCOGq7HWth71syk3/V893+2eLlY/0Dq1HJlxrQ2fDLlIHv23WL+orN8MrYFAK3aNyficiRH/jlJp84d8cQ6UbKTXJ/3oi9zU2NDU1tHYg3xdHJwpYOzM6HtFEbvN7In2sLIfUbGhig8F3TnzyVRrzBit4GbGdZ9i354VIvz7Yq3P3z6P36dtZRerz7P2K9GYquW+PoRLa/vNHAmSWHELgPzHrOhqv39f1Y1aQLADS6RSSp2d23i56pSM8zVhxkJUcyIj+JpR/fs3hQfdQIKYDIHgBoyLGb+SksE4IXbyYyLqhFGS3008hlUrIPbFYAL6rolEQsKTtgwSPMom80HqaJO5IxygCpS5UpSGjRowMCBA5k/fz6jR49m+/btD+2EdUEojqioKGxtbQkLC8PJKf9NRQcOHMj69etL5JqVbm3r8uXLCQ0N5ZlnnmHv3r33PVav19O1a1d+/fVXtm7dyqVLl3jzzTfp1KkTK1asKNL158+fz9ChQ7OXLT711FN069aNgQMH0rx580K317mpimFdbZj4si3/e9OetR/b8+sHdkwfZMs7z2rp9aiGNvVVBHlJaNVgtsCNBIWDF8ys2W9izkYDHy/WM/jbTF6ansHynQYMxoo1F/qff6P43/wzqGo0QFKpUSVdYMzgmoVuR5YlRr1oQ3VvmcQ0hYlL9OgMd56rJEkMHlAPSYJ/d93g/MUkAELbW38uB8IO52jvWSd3HGWZq0Y9q1PjARjlYX2DtVdLfP2IhmeqyZgVmHLExM9nTSiKQppR4a3dBq6mKnjbwex2WjxuzyVKS0ln5cK1AOz5Z3/2tRw1Et8/qiXISSI6E0bsMhCvu//PyRkPquCPgoUrnMr1+FA3H5xlFecMmaxLsw69ZJCKcnv58TWTtRdlS1oSGYqFQI0NzWwds8/3Vlt7Z+rZ/IPBknnfWO51WbFer7rszpPquqSZrXNhDmUNnVUykyZNwsbGhn///ZdNmzaVdziCAFg/jLdp04YFCxYU+lyz2cx3331HgwYNsLOzIzAwkDFjxqDXF73wYps2bfDy8rpvggLW1+KwsLAiX+dulS5JadGiBWFhYdSuXfuBx44aNYrt27czf/58qlWzbijXq1cvevbsyaBBg7hy5Uqhr//qq69isVjyrKr7/vvvF7q9e8myhJeLTNMaKrq10DCki5YJfW358U171nxsz+IP7Pji1dsJTFsNjwarqO4tYaOBdB38vNXIkO8z2XHSVCEq/R4/GccXM44i+9ZAcnDBoktlSLsMNJqiLVW1s5GY1M8GFwe4dMvClyv1WCx3nmf1IGc6Pm5NNH5ZeBaAFm2bAXDp7BXiouOzj7WXVfRwujPM0d3RnYa2d1btqGWJCc01vFrHGuuccBPTj5l4b4+Bs0kKbjYwq602R4/I6iXrSU+zDrdEXbvJjYhb2Y+52kjMelRLVXu4nmbtUYnLvP/PqMbt3pRL5K6M66JS839u1m3Sv4qPxKwonOcwSAopZgdOmdMxKRZWplqHeno4eeToIWio7UycyR0nVRqn9OvuG8e9rlqykhQPbCQ1j0jWnskUIrjOGcL4k7mM5AfeJu121duKLCAggLfeeguA0aNHY7Hcp9COIJSywnwYz8/QoUN5//33SU1NxWw2c/36daZNm3bfkYcH+eKLL0hISODs2bMPPLYkaqRAKScpV69epWfPnsyfP7/ENhisUaMGNjY2hISEPPDas2bNIjg4OFf1u/79+5ORkcGYMbknaZYWvV5PSkpKjhtYZ0IX9GY2m3C1NxPsb6FzExjYQWLMiyq+H6ZhxSgN7z2rwsMJopMUPl+h592fMjl5RV+oa5Tk7eKlBD6ZfACTvSty1SAA7M8v4elnmxerXXcHM+N6qVHLsCvczMJtuhyPv9y7BiqVxMHDMRw5Fo2jswN1GlpXbezdcSDHsS85WCuNysB7Lj65rmUymRhWF95vaJ0O+scVM0fjFRzVMDNUxs/WnH1sZqaO33609tCp1NbEZv+Ogzlj15j4trWMhw1cTFEYtEPPxURDvs81yGTdafmScgyDMfdxgxw9cJFVXDToWJkUwxnLPgCSzF7oMHFIF8X29CQAutu55DgXM4TrngQg1rwUg9FQ4N/JSyZr4lNNsbb5PK1IMTsiSTCf8Wznd6K5Sjw3OGneXW6/g4W5jRw5EhcXF06cOMGiRYvKPR5xs97+iwrzYTwvy5YtIy0tjcjISK5fv05iYmJ2+YylS5dy4sSJIrXbpEkTtmzZwtixY+9bQf7KlSv8+uuvRbrGvQo1J0Wv1zNlyhQWL15MbGwsgYGBPP/887z55pv4+uberTUoKIjBgwfzzDPP8Oabb5Kenp5Hq0XzoNL8y5Ytw2Qy0aZNm1yPhYaGArBq1Sri4+Pvu8FfSfn888+ZNGlSrvu3b9+e567SRfVCLZnj0YEcuRXE2UgVI+ebqOV2i9Z+F3G20ZXYdR4kPR2Wr4Y0vRZNw2AUIOPUeto3MJVYd3r7gKr8c60BS3daiI88TG336OzHguvCyXCJb77bx4vPgoefK5yCVb+txWJryNHOABc77CwWzp/5h/P5XMsBeEH2ZrWlMTIWeloOc3F3EhfvOub0oXPcjLiFnaMdjVsHs//vw6xZvh7ZOfen8j6KHb/TnFuZDry6XUcf+Qj+Uu6aAmaVEekpmWRVHKv+XYZteu5aC495OLDWy4lpUWd4zukoyKBP8AEnmBS5HxMBBOiMXPh7+71TnLjmU4/MBjbYyRFsP/IjUJOtW7fm812467k+EgUOEHvwAhsTIgGwtPGHKmdRFAnnmKrIFhXJVSPYF7OVmAMPqH9TQXTv3p2//vqLM2fOsHHjxvIO5z8vI+PBe109jGrUsO5inlUVubCuX7/O0qVLsye1Ojg48OOPP7Jjxw4uX77MuXPnaNy4cZFii4yMJCoqioCAgDzfh81mMzExMZhMJfM3X+AkxWAw8OSTT7Jr167sYYSzZ88ybdo0vv32W8aPH8+oUaNyTTjLKgyl05XsG+SDJrZt2LABuPPDvpu7uzt+fn5ERUWxe/dunn322RKNLS9jxozJMRyUkpJCQEAAHTp0KPEk6TkgPlVh8Q4zfx+zcDHRh2spPjwXKtPrURUOpVyLJTPTxMix+0lNS8G+YSMMahtMCdfwjN7EyN/nFm710310A1z/NrFyr4V/Ixrx1BMh1PG1th0aquPV4f9y45aFKt7N6T3Ag72bD3HragxPPfVUjt+fboW4Xv9Ma/VZL7vcye/KOdY3tT5DXiSkdWP2/32YW9dic10vuz29wsgDFs4kafmN1kxpJtPOJ/dxKdJJrnGaah3caGHpkuvxdhYzYRGn0LpHoKjNpBpdOKwE4soNIl31kAgDfIPoVj8017n6tAR2pLfhKaft+DS7RNTWmnTu3Pm+xdz0iokvjPMAeCm0K563C9vVsrRgZOYv6CyOLHEbhEmKYT7j0PnE0+ip1nxi+psuch36qJrm23Z5e+KJJ1AUReyMXEHEx8c/+KCHWGH2ybvbhx9+mOs+tVpN8+bNuXz5cpETlOnTpzN27FiAircE+auvvmLnTuukuPbt2/PBBx9Qu3Zt4uLi2Lp1K99//z2bNm3izz//zPWm6+joSFJSUokEXFBHjx4FwN8/75UGrq6uREVFcezYsTJJUmxsbHJsSphFo9EUeJ+U/Ny8lc76v64RGZVGrRouNAh2p14dN0a+oKXHI2b+t8nAsSsW/thjYetxCwOe0PJUM3WpLGU2my18/tVhLl1OwT4wCIOtG4rZQPLmz/hw+qA8vwfFMaSLmsh4PQfOm5m63Mz3/6fB01nGx0fD892rs/zPSyxacoEZn7VErVZxMzKa6KhYAqoXrRS6fz4/qpOHTnPi4GnUGjV9h/bE0ckBtUZNdFRMvtfz1sD/2ltXEe2OtjD6oIUxIWp6VM/5Z1mLplzjNFdVp3hE9UyudtzR8Ka7L7tV1nklV9JqYTG6ADdws8lkgLsfg92ropFzzwMKcXBmasJjdHHcQbJ0ANkhJN/fSUVRyFCuEmFJQ8aIAw74aFwwk0GK5TT2nKSX+RJrqM5azvB/mtbY4USmlMp8ZSOXlFR+MR/kWZtGuEhFe/EtbcX9WxRK1n/951HSq8xu3brFyy+/TN26dYt0/syZMwF4/vnnef/99/H19c31odNisbB9+3aGDh1a3HCBQiQpixcvRpIk+vfvn2umcdu2bRk3bhyff/457du3Z+3atdSseWf1Rkl9ci4onU6XXe3O1dU1z2NcXKwrH+Li4soqrBJlsSgcPBzDmvVXOXAomqykdtce60RNWYagQGeC67nRoZ4b7eq4s+qwTGScwvfrDKzZZ2RYFy0taqtK7A9BURRm/nCCA4di0Lq4YPauARZI2/Uj1TwUOj/XoUSuczeVLDG6pw3v/pTJ9ViFSb/p+XKwLbZaiZd61mL95kguRujZtDuFuu27cv78TZZuvE7jR7zINECGTiFDDzqjgt4IBpOCwYT1a6P1a4Mp6zHr142CVIzvbZPj+7Z47nIAur7QiSo+1sm4DZvV59j+kxzcdSTfpMhOLTHjEQ2fHTWx9pqZT4+aiMlUGFZfnd1+TZqwjSVc5RRmjKjyqLw2zK0KSVzBBIxz6kZNl7p0zTyDUZXBax7u2OdTMbemxpYMixeHMhvTyv44mqC9wMA8j40yreSccRoAEyUwYMMe3UZ0yi2ytl8MBHpykyVGHwZpWlFDasRp9nBNOgkEocPEGuMpBmhbPOAnW77MZjO//voraWlpvPnmm+UdjlDJ3TsnM78PraXpyJEjGI1G5syZU+Q2TCYTTk5OLF++HJUq/8UP1atXZ8aMGUW+zt0KnKRcvnwZsM6tyItWq2XChAl069aNPn36MG/ePJo0aVIiQRbW3V2E+c33yEqcSnoYqrQlpxjYtOU66zZe5eatO+O1LZpVIaSJJxcvpxB+JoHomEwuX0nh8pUU1v91DQAnZxsC6tQgRuXN9VgVHy/W07ymiqFdtVT3Ln4iuWTpBTZuvo6sVuHWtBnx6RLmiANknlrP0B8/ue8vdXE42EpM7mfL2//L5PwNC/1mZGCxQKYBlHptUQM/7QXqv41bffg7Gv5ebXhQs/naHW4mIk6hWhVrEnEz8hbb1u4A4JXXe2cf16JtM47tP8mhXUd4oX/3fNtTyxLjm6nxsoN5Z838dNZMrA5GN1WjliV8CMIeZzJIIZILBBKcq41r0ilMZGCPM03VDZFRUV1y54qSwGnzLdqpcw97gnVTwsa2DqxP7Uwr++Ooq54kXbmCKzlr2JgVHVeMPwGgoELCjBY9OsW6M7qt5IOL3Jg48258pQSqK2fYajpHTU0TTrMHD1UiCaZg4pUM/jAd52VNCOr7bDVQ3jZt2sSrr76Kg4MDvXr1wtu7gLsuCg+VM/4mHJyLvkoyPcU6uTQgICDH/RMmTGDixInFCa1Qsn6fn3zySdLT04u8j1D//v357bffCvRafvr06SJd414FTlKcnZ1JTk6matWq9z2uZcuWrFu3jr59+zJ16lQeffTRYgdZWFqtNvvr/MbNDAbrm5S7u3uej1c0Z88nsmb9Vbb/G4XRaP3U6uiooUunALp3C7JWV71LfIKO8DMJhJ9NJPxMIucuJJGaoif10BlQXUCuGoTkFcDhS3B4VgaNq+p5tbMN9Ws6FKlnZcu2COb/al2WFtwplLNxMnZSJtc3f0FgzQCe7NGx+N+E+6jqLjO+ty3jftWRdm/JD0VBMZtw0FpIiYlCVgy0eiQYB1sJexsJOxuw01rr0GjV1uXcWjVoNbnvm73RwJkICyevmqlWxZrYLf3pT8xmMy3bNqNuozuz8Vu2bca8GQs5uPMIiqLc9/sqSRLDgzVUsZWYfszE6qtmNDKMaqrJLpF/kl1c4niuJCWFeNZi/XQUzCPZOxE3UPlwxZTASctN2pF3kgLQxNaBuYlBxBhb4qU5yDXzT7jyZY5jokyrMBCPreTDeoawz3KBEZoGdFR5Yyf5Yyt7AXDVuIBLxll04igrjYd5T/UIyOAip/KpTUfG6rcRq6SzzXyRLuqidTmXhW7dutGyZUsOHjzI1KlT+f7778s7JKESi4iIyJEYlFUvSnh4OFOmTOGPP/7AZDKxaNEitmzZwj///EP9+oXfZ+uzzz7j2LFj/PXXXzz11FP3PbZx48ZFXkV0twInKZ07d2bp0qWcO3fugeNZPj4+rF27lpdeeokPPvig2EEWlru7O1qtFoPBkO+Koqw5Mp6ehSsHXpb0ejPb/41i7YarnLuQlH1/rZouPPdMEE885oetbd4/Qg93W9o96ku7R62rroxGC5cuJ3P6TOLt5CWKmFORyP61kN29OXHTlnfnm7BJDKeRVzoN67sRXN+NunVcscvnGlkOH43lq5nHAGjzVGMOxNohASlbp6HoUxnywTul1otyt8bVVSz+wJ6YZAv2NtLtG6xdd5m5806j9bAl498Z6NLTGfjmAuo0KPxmcs1rqjgTYeHEVTNPt9SQnprBykXWuSD9Xn8pZzwtG6LRaoiLjufaxQiCald7YPsv1lDjaiMxar+RFZfNtPORaeOjogZNspOUJ+ibfbwBHUuZTioJVMGfjryc/Vgj2Yf1hHPKfCuvS2VrYmNNcDemPstAt0PEsYNk82lcVA0Aay/KNdMiAII0r3LZkIIOLdVUDXBT5XxOAeo+RJhW4EoMVZRdfK6T8Le1w1HORKOK5kV1Y34y7mOZ8ShPquogSRIXLXFctSTQUVW7wlR6lSSJadOm0bFjR3788Ufee++9PCfhC0JBODs7l8suyMHBwfz+++/Mnj2b2bNnM3XqVG7dusWQIUPYvXt3oduLiYlh7ty5fPrpp1SrVi3Pom4mk4kDBw4QHh5eEk+h4EnKlClT2LRpExMmTGDp0qUPPN7JyYk///yTnj17kpqaWqwgC0ulUhEcHMyxY8e4ceNGnsdER1uXqzZt2rQMIyuYGzfTWbfxKn9tuU5qqrVOgEYt81g7X57rHkT9um6FfjHXaGTq1XWjXl03Xnze+mIbG5dJ+NlEdh67wcGbLuhUDhg8gziUqePAuosoC88gyxI1qlvntgTXd6NBfXeq+thnX//SlWQmTj2I2azwSLsgTqVYd4MOtjvH9nP7CKjhT9cXO5Xgd+f+XBwkXBxyJkTPPRPEn6svERunI6hZF87uXMmBsMNFSlIaBakAIyeuWgv6rfltA2kpaVSr6U+7J3Ou+LG1s6FxywYc3n2Mg7uOFChJAejop6JPTQtLL5mZfMTI0o4yNWyss/HvLpGvYGE133OTy9jjTF/GYMudYnQNVdZezzOWaEyKBbWU95Bek9sF7P7NcKd3ZhPs/I5xyfgDIfJsJEnihmk1BiUOW8kHD/kpohTryp7qUu5eSJVkSy3NG4QbJvIYp/haqYWt2Q1HOZPLHKeHpj8LjQc5Y4nhoCWCA+br/G48igUFD1sHQlR35u6YFT0W9Gik8tni/oknnuDJJ59ky5YtjB8/vtBbXghCReHm5sa4ceNo0qQJ3bt3Z8+ePVy/fj27yGlBtW7dOvu9c/HixaURai4FnohQo0YNwsLCuHr1Kn379uX69esPPMfe3p4//viDZs2aFSvIoujSxbpUM69xsbi4OJKTk3FwcKBdu3ZlHVqezGaFvftvMXr8Pvq/to3lf14iNdWIt5cdQ16tz9JfOzPmw2YE13MvsU+bVTzteKytLx+/WZtVU6owsocGN3sFycYWVY2G2DRqhcXemYuXklm74SrTvjpK/9e20bPfZsZPPsBvyy4w9pP9ZGSaaNzIgxT3WmTooa4vHFs4EYAh7w9ErS7fLaK0WhX9X7b2/qVQA2RtrhL5BVU/QEajgoRUhYhYE7//z1q8rd//vZTnBPGWt6vdHtp1pFDXebOhmiAniTgdTDtmxElxpwoBgMJlTgLwD79zhv2oUNObj3Aj57yJIMkdR7ToMHHJkv8E8SCNDbaoMKKwImIQEhoSLYdIsBzArOi5arJuFBaofpVI0jGj4Ig2e+nxvXxUT6GVamIrGXmck/gp1uGpSxzHTbKnq7oeAO/p1rDEeAQL1iHZi/fEeFL/Ebsyu5FpuVmo711JmjbNOlH4t99+y14xKAiV1TPPPJNd3DS/D/D3M3r0aBRFQa1W4+3tTbVq1XLdqlatWqI9ooWaLdmgQQP27dvHmDFjCjwpxt7eno0bN9KyZcsiBVhUr732GrIs57l/QFaZ4RdffLHMZ1hnVcHN+n4kp+j5fcUFBgzZxseTDnDwcAwALZt7MXVCK379uRN9e9XG1aV045Rlic4hWhZ+4MCrnTTYacFs44S6XgsadGtH12fqUL+uG2q1RFKSgT37bvHzwjPExesIrOZE/ceacS5KwcEW6hm2khibgH+QL916dS7VuAuqa+cA/Hwd0BlkbH2ac3j3UYzGwhcbstFI1PGz/tms3HCeyKs3cHZ1onufvMdns0ryH9p9tFDbFNiqJCa30KCS4O8oC5siLNkbDl7iOMfYwS5WAfAsb1CNernakCUpuzflgDn/DxWSJGGns9YFOSRVw5PnrdcxzuKGaRUGJQ4byRtfdXeu3FUOP78XIkmSaaB9D4BQztFP1RoZNUnEkMAtemuaAmBBoYrkQAvZOqkwq9Q+QJrlIvGWPVjQk2LJvW9RWQkJCaFvX+vwWllWqBaE0tK2bVuAB84vzcvw4cNp3LgxsbGx3LhxgytXruS6RUZGcubMmRJbPl6kJR2NGzd+4KSZu7m6urJv376iXCpfWdXs8ivNW7t2bYYNG8bJkyc5duxYjscWLlyInZ0dEyZMKNGYCmLEiBGEh4dz8OBBAIa9sZN5889wKzoDJ0cNvV6oyaJ5TzBtSmseCfXJt5aJoiikp2YQeTWKEwdPseOvXez6ey8GfdFXrYD1TbhPey3z37WnWws1sgTnYrTsiA2gcZdW/P7rU3z3VVv+b0gw7R6tSotmVeg/tBUr91sn877RVebP2T8D8Nr7A8q9FyWLSiXzan/rG7mdbysy9Qqnj54pUluNg6zDSTsOWVeRvTjwOewc8i7+1ah5MDa2WhJiE7l8rnB7RQW7yQytZ/3+TT9uxE1nHfI5w37WMReAdrxIY/Lf0ftxlbUUwBZzfrV04XqaBWOqNf5Mx3QuRw9AhT2pljNcNFonjAapByNLGi5brM+5unz/CefuqlBc5eaoJAU7yzECbq8WusRxasgefKTtwKuaVvxm90p2z8o1S2L2+TdMa7O/ti5xLj9Tpkzh8ccfZ/z48eUahyCUhOTkZJo0aUJgYGChz81axfugInO1a9dm9OjRRQ0xhxJ/B/nqq6/IyMjgk08+Kemms2VmZmbPGt63bx+vvfZavrEcPHiQ4cOHs3HjRtzc3Pjhhx9Yt24dS5YsqRAT4YwmheD6Ljz3THXahHqSkZZKQkwkV8ITSYhNIik+kYS4JBJiE0mISyQxLun2v4nodbkTEhc3Z7q+0InufZ4iOKRekbvd3Bwl3nnWhudCNfxvs4HDF838ucfElqMm+ndw4oXn3HjpBYnkdIXXZ2eiKApdm6u5tX81CbGJ+AVW5emXuhb321OiHmvny+8rLnDpcgq2VUM5EHaYpq0aFbqdRkEqfg8zkqYNQK1W0WfIi/keq7XR0qRVIw6EHebgzqPUrFe437lBdVXsumXmVKLC/MO18WujRidZawAF8wgd6H3f8zuoazHDsIOLljguWuKoJeeeKL4l0oJdiitpVWLJdEnm11uefOn3MldM87BgyO5Fgbs3FnzwqjgfdReSDIeJMW2jhuZ5rhHORY7Ski700Nz5vgfJ1v2TrinWJMWiGLhpulOSvryTlJo1a7J9+/ZyjUH4b3rQh/Ht27czevRo+vXrx9tvv/3A9hISEti4cWOB9tXR6XR5JiM9evR44LlAvkus82s3PyVeZW369Ol57lFTUvr06YOnpycnT1rH5efNm4eHhwdz587NdayDgwPbt2+ndevWtGjRgtq1a7Nt2zYOHjxIz549Sy3GwvC07CVqz2ymDh3CYzWe5KnGL9Kv4xDe6v0hE978lG8mzGbh97+xbulf7P57H+HHznIrMjo7QbG1s6FqgA8NQupTxceT5MQUlv28klc6D6Xno/1Z8N0SYm4WvWBdkLfMZwNsmdrfhkAvidRM6zLc//shk71nTXy9Rk98qkKAp8Srjyss/P43AAa/NwCNpmL0omSRZYnBA6zL7mx9mrHn35NFaqdBNRkUMyonLx57oQdevlXue3zWvJSDhZyXAtYaKpNbarBVwcFoDdpMa/y+1OJ53kR6wJ+ws2RLG1V1ADabzuV5zNZIM9pMe5qZrZWiDzhGojL1RYO14GGQ+lVkydp1ezkrSclj0uy9qqg6IKEiVTlLDYt1SOciR0klMcdx1W4nKXFKOumKnljzv5i4s49ReScp97rfxmqCUFLu/TCelxkzZnDgwAHGjRuXfV9cXBw1a9akUaNGzJ8/H71eD8ClS5d46aWXmDFjBh07PrgkRFFL55d0uxXrXaQACrKy6G5OTk7MnDkzu5xvRXPh6H5U0p0fg1qjxt3TDTdPV9w93XD3dMPV0xV3T1fcq1j/7+Zx5+u7hxnMZjMHwg6z9veNbN8QxuVzV/l20hy+n/IjrTu0pHufp3j8qXbY2hV+fkvL2mqa1VCx6YiJhf8YiIxXmPib9Zdfo4IxvWzYuHQlcdHxVA3woXvvitWLkiW0pRe1ajhw8XI6l265kpmhw86+cCXaU+LiMEZfReMTTMOuL+R6/Oy5RJYsu0Dfl2oRXM+dFu2sScrh3UexWCyFrsBczVHm3UZqph0zsW1fH4Y8GshTNs+joWA/x67quvxrvsRm01le17RBvqt37XKKhUspCmoJvvf35fHriRht9IyPTOL7mt+QbDmFn/p5AAyKiSglCbDOSQE4EW+hlouEvTp3j51WcsVNbk6C5QAm8xn85TpEcp6j/EN77vQ+JUqXaaC5xWmjN9ctSehMawBwkuqRqpxFV44TZ++WmprKZ599xqZNmzh48GCFGcoUHj59+vRh3bp12Rsszps3j5UrV/Lpp58yfPjw7OP69u1LWFgYAwYMyL7P1dWVxx57jLVr1zJkyBBGjRpFSEgIjRs3Zv78+bkKy+WnMHPoCqOw7Yq/snI2adY4qtcIzE48HJ0dizxEo1KpeKRDKx7p0IrUlDS2rtnOut83cmz/SfZs28+ebftxdHakS48n6N63G41bNCjUtVQqiadbani8kZplO42s3GvEaIIhXbT4u5l4/TvrEs3B776CRlsx99yQJIk3/q8J74/ag8ajIds2HeGZF3JvFng/S+f9iSFKg8YnmDhLzhU14WcTGDVuHxmZJhRFYeqEUBqE1MfOwY7kxBQuhF+ibsPCb7/+YnUVYTct7IkOZPWuIJ7voC1wP+gjqiCcsCFWSeeoJZLmqjsvUlsjrb0Crb1lAmxVtLsF/wTA38otYs2NqKW9MyxzXUnCjIIDWqpIDoTdNPP+XiMdfGW+bK3Ncc0Es5GPY65hJ9Wlm/MBYszbaK4ZTCTnOcLftOV5ZFRkksrvTCNAm06MRcM1y3k0lgMAVNcM5YThA3RKNAUVa9pBtPlv6mlHo5YcH3xCISiKwrx584iLi+OXX35h2LBhJdq+IGQp6Ifxfv360a9fvxz3qdVqfvnll2LHUFo1iwrbrkhSyln7J9uU+C7IAE7OjrzQvzsv9O/OtUsRrF+2ifXLNnErMpo/F67lz4VrCawZQPc+T/F07y74+BW87LeDrcTgzlq6t1JzK1GhYaDMsnkrib0Vh4+fF8+9/HSJP5+S1KSRJ652qSRlOrFi1bVCJSmZ6Zn8uXANRue60LwPJ6/e6fq/O0EBOHEyHrPZ8v/snXd4FOX2xz8zszW9B0KA0KV3UARU7OK1c0WxXwu2a7k/exe9VuxgvdarIvYCqKg0BaX33kt6L9t33t8f7+xuliSQhAT1Op/nyWPYmXlndoXZ75zzPedgtVoYOLwvC39azNKfVzRLpCiKwv2DrJz/o5dNFYKHl/l5aIg1KirSEHbFwhhLV74MrOPbwKawSBFC8P1eaXg+MVsDdMZWFbGwKgdPfBX/3LeDGTk9ceFnk17I7IA033ZSZRn8ogJ57NxcndwanaxYqZoWuiq5IX8reQE/CWovTo1XqdI3MFTvgEONpYIitrGKbgxiPp/iQTZcTFYrqAp8TwqCZHUoydpgAAJUEhA1WBooeQZpuk1SHOwIvEmVvoGEQE86WCc0uH9zSEhI4N577+Xmm2/mwQcf5KKLLmpw7IaJyZ+dkpISJk2a1OIRldLS0oPvVAtTpPwF6NilPdfffRXX3vkPlv68gq+nzeKHr+eya9seXnr0Nab8+3WGjR7M38afypixoxusVNmf9ESV9ETweX289bxs7HP5zRf/YaMotRl7fArvf+Nnb3EMO3ZW0imncQ3Dvp42i8ryKtqllhJUIL9MUFihU5xXHhYo/fulsnVbBTU1AbZsq+CI7skMGTmIhT8tZsmC5UyY+PeDn6ge0pwKDw2x8q9Ffmbt0XFaAtw1wNKoJ5OTLUfwZWAdcwJb+T/bsdgVC1sqBLuqBTYVjmmrAjqxip8Tfe34Rt/EJm0Xp9cspkyppPZt6gijBf7qEilSBPD5jiDX9FZ4umQvL5TmIpCBnko9ntJgL1ItaykL/kw/9RgWM5NlzCaVLBbzbXjdNmoJCYGlAGRZzsKixGIhgQCVeEQecUrd5nu79TJe9P3Mz8EddFXTuFpI/1VhcG6LixSQJZjPPfccO3fu5IUXXmixCgYTkz8aZWVlPPjggy0uUn73SMqIESPqTHw0+WOgqirDRg9m2OjB3PnErfz49Vy+/mgWS39ewW/zlvLbvKXExDo58awx/G38qQw6qn+j/kJ98f4MCvOKyMzK4KwJf+woSojTzx7KW++8iS31CF77zxoem3TwGVPbN+3kbcMYPOHKM1goVDbv0/l2YSUfvxERKI8+OJx/P7mchb/ms3JVMUd0Tw6bZ5ctXEkwGGz2mICRbTQmDYV7Fvv5bEcQhwa39D24UOmvZpGpxFEgqvkluIMxlm7hVM+ITJU4q4JfNjfmnCwn8/emkNhuMaWKFCKZShw91Ux6q234m7U37oBga2Xk5vXlriDOdiU8XyobRF2QkM5wZzw3F2xniXsgp8SvpSD4A0Osj7KYmWxmGT7c6ARII5tisYfBgV1Y8JKg9iZTk8Y+h5JJtajEIwqIIyJSgkLnLf9i3vYvJWhMYN6mF+FTZIl0hb4KryjGrrTs2Au73c6kSZO4+OKLefzxx7n66qv/NPO/TEyawltvvfV7XwLQCiLlyy+/bOkl/6eYMmUKU6ZM+d0rBGLjYzjjwtM448LT2Lcrl2+mf8c302axd2cuX74/gy/fn0F2Thann38Kp59/Cu06ZtW7js/r463nZDnb5TdNwGa31bvfH42MtmmkaNupEt1ZvKyEDRvL6HlEcr37ul0e/vPMO7zz0ocE/AHSMlM588LTqP5FY/M+nQ9nFuOrJVCcDgsD+qVKkbK6mPHjunFE/+7ExsVQXVnNpjVb6DWgbvO1xnJStoYnIHh4eYAPtgaJscDEXgeOXqmKwkmWHrznX8Z3gU0cp3Xl+321Uz0Rjs6E1MoCdFXH54vhJu1kLkmINtstK9MJCkg3PMdFHvi8VFbk3JiSxd1p7dnnl8bqb6p6cYqR8onTVTqoPdnNBnawFlA4l5v4MnAzqbqbIAo9rPeiGBOSHWpbqoNbpHnWuMwK4eFB73f8GpTTvUdoOVjRWBJcB4ZgAUFRYD7Z1rrG5kPlwgsv5KmnnmL16tU89thjPPXUUwc/yMTkT8all176e18C0AolyCF2797NJ598Eu7uaiLZv5nbH4F2HbO45rbL+WrpR/znmymcddHpxMbFsHdnLq888SanD/o7V55xA1++P4OaKlfUsV99OJP8fYWkt0njrItO/53eQfM4amR3fEWym+nTz69k9o97qK72R+3z8w+LGDfyYv7z7HsE/AFGnzyCd757lZi4GBI1+VkEnYlRAgVgQH/5BL9mXSl+v47FYmHQiAFA01vk18cZORZu6y/P9cbGIG9vOnj33FDTtIXBnSwpd7GvRmDXYFTb/W4DagCtg+woXVGdxVp33bXXlEox0C9V5Syjud06n/SWHBsjS5ezLDbaaFbK9XhUZNlhYfAnBhPpQjyA40gRyXTyyzTNciWHylrRD4fSBoiUIS8P7uUK9zR+De7CjoX7bScy2XEGl1uHEkf0+OuiYOv0NlFVlcceewyQVRcNDTE1MTE5dA4pknLrrbeGf4+Pjw/3R3nppZf417/+FW5Ec+qpp/L555+3WJtck9ZBURQGHdWfQUf15/bHbmbOjPl8PW0Wv81byrJfVrLsl5U8fuezHH/6MZxxwWn0H9aH/zwroyiX/XMCdsfhHTFwqAwbPZiP33sCe1pPdu6q4vHJK7BYFAb2T2dgnzh+nfkJc7/5AYDMrAzuePxmjj1tFIqisG5DKe++ugRxxNEojhj+9c9hUdOiO3VMICHBRmWlj02by+jTO5UhIwey4PuFLPl5BZfccGFDl9Vozu9iwR2Al9YFeGldAKdFvtYQndVUuqlpbNGLea9iC3AEo9qodcqHZ+gb8Vs86J5Yatwp/BaoOyB0tSFS+qaonNhO47UtXtyaFHh97dJMqigKg5xxzKwuI89/JJnWlez2/5eB2uskqun4cHOsOI+NvkfR8FGjWNlpSWGXXka2mgREREqV2Mcj3h+YEZCTVdspCTxmH0s3Tfao6aFl0EuRYR0dJypuyvQl+EVlqwwoPPXUU3n88ceZMGECsbENG3pNTEwOjUOKpDz33HN88MEHDBo0KNxMZtGiRdx00034/X7OPvtsnn/+eUpKSpg8eXKLXLDJ4cEZ4+C0cSfx8qfPMnPVJ9xw7zV07NIej8vDjOnfcc3ZN3FS77PI31tAWmYq51xyxu99yU1myMiBEKimfPVbnPu3bHI6xhMICJYsK+S1d7azqnAACT3PZ9S4K3lj5n84buzosEC5895fcdd4cQr59L4lL/qLXlUVBvSTVVsrV0ufRMiXsmLRqrCAP1Qu62HhyiNkJOOpVQFe3xDAF2zY6BaKpqy0ycZu+6d6gorgo+AqAJx7+wEKm/1uyoKR6xVCRCIpKSqZMQrd23kASNHtxGsRoTTIIcuA59YMJU7pho9S1nnv4ErxENeL58nz/4ei4FxAY4stlQStOtx5FiIiZUNwPTMC61GAcyx9edt5QVighDhak+m6PNKIVTojCFIc/Pmgn2FzUBSFO+64g+zs7FZZ38TERHLI6Z5PP/2Uiy66CJtNehFuuUUOFpswYQKffPIJN9xwAzNnzuTDDz881FOZ/E60aZfJP265mM9/+4B3vn2F8y47i7iEOCrL5RP2Zf+c0KwGcb83CUkJHNGvO7q3nPbJBdx6VRtSvT/g2jOfQE0BiqJiSejIut0pXDZxATfd9jPvvr+JO++VJtkB/dI4cXg8AKt31vUYDegn0xYrVslURvc+XYlPjKOm2sXKpZtxe1vGNX9NTwsTukqx8eqGAON/9LEwv37P09GiGwgIJBbgjKvk6DbRt4CNmTXkU0UyTs609MHilf9fl7oj0ZR9NYIyL1hVOCJJirO26VKsBaqdeAKR9xUSKUs9Afrbn8FGCtViK1u9j5Lnf5d9gc8Ahe62e6nW7MSqHnbpkemsDkUOQXOIcqyovOoYx23244hT6v5962F0xS0WGqhygGdh8MdGfoqHxqZN9XfzNTExOTQOSaSkpaVx9NGRqojvvvuOxYsXExcXxzPPPBN+PTk5ucm10SZ/PBRFod/QPtwz+f/4YcOXPPGfh7jt3zdx/pUtb048XAwbLXtxTHn0dS4+6Wq2rFyOtWYt/7wig3ffOI6rr+hFzx7JCAFr15XyzvubwgLlkQeHMairjBqsqUekDDR8Kes2lOLzyYqewSMGolidPPptOn9/wsXzX3nZV6LXObYpKIrCzX0tTBpiJdUOu6sF/1zo5/8W+citkWuXeART1vm57Dsremk7ALJ7r8aiRgSFEIJfO8rKvL9bB3BWezu2GpnKmFcdESlrSuUxRyQp2IwBmGUWKVKUmhi+3xv5LPo7YtGAvICf0mAy/e3PoGKnRF/IrsC7ch3bXbS3nI5DyMhIAdvCxztUGUmJx01HJYG+2oEmt8prr8JJmSInRpcEF+IXrVdtqOs648aN44gjjmDhwoWtdh4Tk78qhyRS0tPT8Rt1i8FgkDvvvBNFUbjppptIT4+EYnft2kVubm5Dy5j8CbE77Jx01vFceM24P3V78OGjhwBQkFuIEIKxfz+Zz3/9gHMvPZN2WfGcf15XXnp2FB++cyLXXd2HAf3SOO6YdjzyoPSg9OkoIxi7iwTl1dGRkfbZcaQk2/H7ddZtkCmMoaMG4uh5Ei49Bl8AZi4N8I8X3Dz8oYf1u5tf8aUoCqd20Pj0JDsTumpoCszN0xk328dtv/r427de3toUpMoPKcUy5bMzaT2Xuj9keXAvAL+J3RTF+3Fi5RxrXzolqHQ2Gqj9WKutQMiP0iclcvtY7ZXmUavbyZKiiOiKUTV6Gh6V5Z5qErTe9LJFZnt1td5IO4scWNZWyBJjl7IvvN1GCgILqiLooRz475lPyLRaNU7KlFTilK4IAhQGf2r059hUVFUlMVEahe+8885WayVuYvJX5ZBEykknncRll13GzJkzOeecc1i1ahVZWVncfvvt4X18Ph/XXnvtIV+oiUlrMPCofvQd0psefbvx6ufP88jL95GaUbfvRUa6k3PP6szkx0dw7x2DwybZhBiFTpkymrBmV7TIUBQlHE1ZuVqmfAaNGERMv7MA+NtQleHdNYSAXzYEueUND7e+IQc36nrzvuzirAq39LPywfE2hqSreHWYk6vj06FPssJTw618M6And9rGkIiD7aKE6z2fcZ9nFm8HZSO1M9ReJBgm1HPSpOl0l3DhNsrma/tRAIoCfnIDPhTA6nGyryb62kMpn+UeKWQyLcczwP4ifW1P0NEamTnSTekFgEMrpUJ4jM9QxYu8ho7qgUVclEgRbjItJwNQEPiuSZ9hU3nwwQdxOBwsWLCAmTNnHvwAE5M/KfPmzTvs5zwkkfLII4/gcrk4/fTT+frrr8nMzOSjjz4iLk7elF5//XWGDh3Kt99+e5CVTEx+H+wOO+9+9yrT5r4VTv00lb5GCW59vpT+hi9lpeFLKVY7oiVmoXuqGJaylYcvcvDaDU5OHmTBosG63ToPfuDl6pfcrNze/MhKlwSVl0daeWyYlTM7arw6ysZbx9o4rp2Gpqqcae3DRzGXcI6lLyoKPwS3sF4Uourwdy0ypfTC7BjUgAWhCL4uqcYdEGypkCKkryFSVhvio4PmQNW1OiJlsCFSlnmqw6+lakeSYRkTtV9nRU54TlSr2KWXhF+vQB7fBt8B37PXEClVOKRI0U4CoExfhlcvaszH1iyys7O58cYbAbjrrrt+9x5IJiatxfHHH8/ixYsP6zkPSaTExsby+eefs3v3bpYuXcqOHTsYMSIyB2XQoEG8+eabLFmy5LC/MROTw0U/Q6QcyJeyYVMZbk+AL36VVTLudTNYtWgZAB0zVG49y867tzj5+0grsQ7YUyy4610Pny30NzuFoCgKJ2Zr3DfYyuB0tU5X2kTFwW3243jLMZ5+qvR6DNgXT3qtwXyJdpX2uvzzx0WVrC8TBAVkOKBNjFxvlVeKjwEOmRoq8YKrtnnWKY9f7anGLxr236TTHiEsWJQgq3TZp0UIQaGQUZ0kDtyPJDqS4sKpZpGo9gMEBcHZBzz2ULnzzjtJSkpizZo1vP/++616LhOT3wtd1xk5ciRnnXUWX3311WER5C3SzC07O5tBgwbhcESPvB88eHDUj4nJ/yJ9DV/KjgJBpStaULRtE0NGupNgUPDdL+Ws2aWjoONe8xVLf1kRtW9qgso/TrLx3q0xnDjAgq7Dq9/6ePpzH17/gYWKz+uTM5m+msvG1Zupqqjb26QhumvpvOI4j/9ax3PCprpdd8fEywqmld4qVhQb/VFSI7eOVUYkZUhMHIlGw+Ha0ZTOVgeJqoZHCDZ4Iw3X9P3El4qGQ0hT7xZkGXQZboqQ9xUnDRtgdRHAj+x4W42DcqM0PFOTKZ/8YOtGc1NSUsJzfO6//368Xm+rns/E5PfA6XTy+eefc8wxx/DQQw+RnZ3NHXfc0arVba3WcdakfqZMmUKvXr0YOnTo730pJi1EUpxCh3TDl7KzYV/KjKVy25COXvSaElYtXoO7JrpLKsgp0/8628bEU22oKvywMsD//cdDUUX9UYhAIMDtV9zP/dc/ym2X38sFx13B6M6nckyXU7lwzBXcd90jVJQduMJFURQ6KMmo1J0BdF669ITUOGt4f6vRsK22adYQKf0csbSLlcfvrWUiVhWFgWFfSjVCCK6c52XcbB8Vvmih0oUB8lzqVoQQ7NLLKEdGaPyioMHr94syMMYaurBTZoiUDO04AKr0jQRF3c+6JbnxxhvJysoiEAiwZcuWVj2XyV+DGTNmMGLECN5+++0mH1tdXc3tt99Op06dsNlsZGdnM3HiRPLy8pp9PdOnT2fs2LHccsstLFu2jJkzZ+JyuTj66KMZOXIkb775Zot3YDZFymHmj9gW3+TQOZAvZUD/NLDa2V0tv2wvPjmJ7JwsvB4fP3w9t971FEXh7KOs/PtiB/FO2Jyrc+OrHtbtZ84VQjDp5ieZ9+3P2Ow2+gzqSXJaEgCV5VVsWLWZbz76lo/f/LzZ762fMxarUBGaTqkqDa0h02x+wEd+0I8K9LHHhEXKPlcDvhR3NTurBCtL5ATmF9ZEN7UbGBgFQJxaym5RyE69NCxSQq3x68OLTPVoJCFQw5EUu5qOjVRAUK1vbfZn0BhiYmKYOXMmW7ZsoU+fPq16LpP/baZPn87w4cM5/fTTmzVaprq6mtGjR/PUU0+xZ88eAoEA+/bt49VXX2XQoEHNFtFjx0YPkB04cCAvvvgiubm53HDDDXz44Ye0bduWK6+8ssVG4pgixcSkBYj4UupGOwb0S0PNyAZFoWe2Qo9sC3+74DQAvv5w1gHXHdhF46WJTjplqpRVC25/28OMJZH5Qs89OJWvPpyJqqo8/sZDvDf7dX7a9A2/7Pqe6Qve4bJ/TgBg7qzmd161KAr97VJkeGNrsCjQw2jiFoqidLc5iVE1suuJpAD0ccgy5C0+N0trlSh/uSvI0iIpvEo9gtvntqEmEIeqCH4Rv0RFUjwir0F/TsiPEpp67MaPR8jPKV7tDkCVvrnZn0Fj6d+/P06ns9XPY/K/zZAhQ5g/fz7dunVr1vGTJk1CCMFPP/2Ey+WisrKSJ598EovFQn5+fosPD7RYLAghKC4uprq6mjfffJNjjz2Wnj178tRTT1FYWNjstU2RYmLSAvTNkf+UthfoVLmjv0gTEh1omdJr0TdTDiX82/hTUBSFJT8vZ9+uA/cQapOs8txVDkb11ggE4YWvffy8PsDbL7zPuy/JTs73P3cHx502KnxMTFwM3Xp14cJrxgGwbsUGCvOKm/3+jjV8Kb6YGo5IUrBr0SKln2GaDYuU/Sp8siyyQ2x+wMcyw9cS8q/8e0WAEo/gxl987K6GwvIuAGxnOTtFKRXEIrCi422wg2xIpDiUVGzGuORQyidO7QFAtWh9kRIiGAzy7rvvkp/fcPTHxKQhOnfujN1uZ+DAgU0+NhgMMn/+fObMmcNxxx2HzWYjLi6O2267jbvuuguQ42u2b9/e5LX3L0F2u928+OKLdO3alYsuuohVq1bRsWNHnn32WUpLS3n99dfZsGEDPXr04JZbbqGqqvFeuRCmSDExaQFS41WyUxWEoE5KZvbKAEK1IjwuPMaXVtvsNgwdJWf5fPPRwU2dDpvCPX+3M3ao7M/y9le5PP/QywDc8vD1nDlhbL3HpbdJo+9g2X9k/nfNj6YMc0ZEyph2kXk/q4wmbv3tIZEibyn7i5S2FqlIioJ+lhbLz+fBwVbSHLJD7rjZXjYZpc0F+fLG7FV3sEsvJYhGjCa7Gm/2PVVvB9lIJCWVJEVGMkIi5XBGUkL84x//4NJLL2XSpEmH7Zwm/3vsX4zSGPLz87njjjtISkqqs+1f//pX+PeioqaX5Z955plUV1ezb98+7r//ftq3b8/NN9/Mzp07GTBgAO+//z5bt27lpptuIjY2NuxTWbt2LT///DOjR49ucvd5U6SYmLQQ9flSdF3wxSKZdtAL97BqTSSaceaFUlh89eEsdP3grfEVReHcEXI+ze7qJNSYZC775wQuuf6CAx53zKkywnIoKZ9Bjjg0IGjzc1yO9JEIIcKVPf33i6TkuQSBWg3pUjULVhR0oCTox67B8AyV2/rL91PphzgrXNZdo2TXMAJCw6J4cSnS5NfTehUxSg4+Stnqe6HO9YV6pNiUVJINkVK+n0ip1rcgxOHpYXLZZZcB8Nprr7F1a+t6YUz+d9m/bUBjaNeuHWeddVa92xITE8nIyACgQ4cOTV67srKStLQ0OnTowKOPPkppaSknnngis2fPZtmyZVxwwQVomlbnuHbt2nHVVVexatUq/u///q9J52xVkVJdXY3b3bqOehOTPwr1+VKWbAmyt0TgtIEozmPb9koqKmVTsuPGjiYuPpbc3Xks+2Vlo86Rv2k1gYKNKKrGkPHX8c/7Jx5w/y+/2cH3y9NRHSksnr+MmipXs95brKrRx4iWfFRZzDJ3FYvcVRQF/WhAL2NbuhNsKgQF5LujK3wyLFKQBK1++qeo2DSFMVkq53TSyHDAc0fZOLm9hu5NoMQrx2qka6WkKzBbfY0im0zb5Aa/pCy4LOr6fLVESiSSIt+rU8lGw4mOF5fY0+B7FOi4qW5we1M49thjOeWUUwgEAtx3330tsqbJn5fKysqon9+rRD0QCFBeXs6wYcNo2/ZAc7AaxufzoWkaF154IStXruTbb7/l+OOPP+hx33zzDQBffvllk87XLJGyc+dOlixZQkFBwyWBIN/MKaecwiWXXML333/fnFOZmPxpCPlStubp1HjkF/RnRhTltCEWOmZL8+gqo0W+M8bBSWfLrqtffXjwdurBYJBHbnkS98YfALB0PuaAT1oeT4A3391IcYmP9G5H4ff5WTjnt2a+OxhupHwml+7j9D3rOXfvBgB62GJwqvK9q4pCVqjCp4GUT9DqZ1C63F9RFO4eaGXGqXYGpKm0j1NQgIJyGf3ItuQz0PkrG/iNFdpGMiynA7DD/5+otWune5IV+TmH0j2KohGnyrlAtVM+X/vXcan7Q/bq5exlM6/wfzzFFeTR9Fx9fTz++OMoisK0adNYvnx5i6xpcnhZFNOen2M6NvtnUUx7ANq3b09iYmL457HHHvtd3s+CBQvw+XzcdtttzV5j5MiRrFmzhvfee49+/fod/ACD6mr5ANDUyrcmiZRt27YxcuRIunTpwpFHHklWVhYjRozg88/rL29MSUnhpZde4r///S+nnXZaky7MxOTPRnqiSttkBV3A+t1BtufrrNyuoypw5pHWOnN8AM4wUj4/fD33oFGObz/9gZ3bc7FV7UNTBVvzBLuLGk4T/Th3H9XVUiTFpMkv6Xkzm5/yuSwpk2NjEulli6GD1U6yaiFWUZmQmB61X0MVPm1CkRSLnyHp0beekNhyaApZMQoF+2TzR6fqRVUi7fDjtZEA1Ojboo6vHUlJxoik4EYgWMJ3BFU5j6lajzSd+iawns16Ee8Gp/Ef7qGQ3Qh09tEyPU769+/PhRdeCBBu9Gby12TPnj1UVFSEf0IG1sPNiy++yAknnMB5553XrOPT0tKYOXMmPXr0aPKx06ZN4+OPP2bGjBlNOq7RIiU/P59Ro0axaNEihBAIIUhPT2f58uWcd955nHLKKfU62fv27YvT6TSng5r8JYj4UvRwFGVkb43MJJUB/VIBWLEqIlL6DelNTtcOeFwevv+y4Wm9gUCAV596i7gup6O1OYF2cTJc/NOqQL37CyH46psd4T9Xuu0omp0Fsxfi99d/zMHoZHPwYfYR/JjTl986DWB918Fs7TaUK5LbRO3XUIWPUzfKeWx+eidHIkDlwQCba3WizYlX8BR2oyQopwsnBYeRShYAAVWWQvsoJSAiqRmfkGa8/T0py/mBmbzOOlX6QmpHUkKRlmJ1KSCwIK+vmvImfjINM2nSJKxWK7Nnz+bHH+uvTDL53ychISHqx263H/ZrmDt3Lj///HOzGsOFuOqqq8Kz+Q7Ev//9b1yu6IeujIwMzj333EYdX5tGi5SHHnqI/Px8NE3jvvvuo7y8nPz8fGpqavjhhx+IiYlhwIAB9TZwMfsGmPxV6GekfBZuDDB3tRQD5xwlIwj9+qahKLB7TzWlpaEpvwp/u+BUAL4+QMpn5vTvyStSsKXINEjuepmS+Gl1/ROT160vZev2Smw2lYx0J0JAYlYPKsurWPnr6hZ6t/XTkEjxuo3J0XEBrGpEpNyUv40xu1azxjDh5sQr4I5nffVQ5ruGcqQ4nwRkJMSleI3mbODSdwEQFB4ChpektielXBTyPe8AUKZIw2yVvin8wFRqeFZsihQrHZFVUFUtKFI6derExIkTOeqoo0hMTGyxdU1MmkJZWRnXXXcdn332Ge3atWv2Oh9//HGj9rvlllu4//77m32e2jRapHzzzTcoisJjjz3GQw89REKCbJWtaRrHHXccn332GdOmTePKK6/kiy++iDq2OQ5lE5M/I6FIyt5igT8IPbNVeraXryUm2OjSSf67qZ3yOf3vp6CqKit+Xc2ubXWNnX5/gFeffouYDrLFu6qCp7AAi6JTUC5Yv6duyufLb3YCcPyx2Rw5LBOAdkcMAWDurAUt9G7rJ7sBT0pZlRQpFrs/6vXF7iqCwDyXnL2TE68ACu12ncj5lmMYqnUgFvkFX0MFMWpH+buQIiUURVGxYSHO8KQIrNZf8CHFoEu1Aip+yvCKIrwiQA0+FAR2RUal2iEbZ1VT1nIfBvDkk0/yyy+/MGTIkBZd18SkMQSDQS655BImTZrEyJEjW/18Pp+PRYsW8d///rdF1mu0SCksLERRFK699toG9zn22GP5+eefefPNN3nzzTdb5AL/1zBn9/xv0yZZJSMxIsrPNkqGQwwI+1JKwq9lZKVz5HHy78M30+p2oP162iyKq5OwxLXB6dS4984hoOv4i2V69cf9Uj4lpR7m/SwbxJ35t07hcwYtsvRw7qyfWzX9mh0XiaSEziOEYE+ZFCk+LSJSyoIBynUZ5VjukdGQTvHytlSa246rbUeiKgqxJAGGSFFk6aRL3w3ITrQANiUNRVFIVpxkasU4tUIs2LBiR1dUHIoUNxX6ynCqJ0bxoSqgCwVNl59TS4sUh8NhPqiZ/G5ce+21nHnmmZx77rlNPnbBggX069cPTdPQNI1t27aFf2/ox+l0cuKJJ9bbp6U5NFqktGvXDlVVsdlsB9wvOTmZL774gt9++41nnnnmkC/wfw1zds//PqFoSkaiwsie0T0DBvSTX4QrVkU3UjrzQqNN/rRvo8af+31+Xnv6XZztRwNwwbhuHDMyi1Ej2qIbImX+ugC+QER0zPh2F8GgoHfPZLp1SWRAX5keKSzVscclkrs7j60bDl7B8sFHW7jp/34Ol0w3lrYxskLHFYBy49DtVQK3Wwq2UuEPi5ddfk/4uGVuOXxQRlIgzwUe433FYgw5rBVJcRmRlEpdVhmF+qEkK04yLTJSNVScQhLS2GtVZSfbMn15ONWTYaSdPMLOuqDshtmSnpTalJeXc/fdd/PWW2+1yvomJvvzr3/9i27dunHllVfW2VZSUkJl5YEHj44aNYpVq1bx8MMPh18LeVIb+nE4HAwePJj33nuvRd5Do0XKeeedRzAYZOHChQdfVFV59dVXyc3N5dFHHz2kCzQx+bNx2hALKfEK/zjJhqZFP0H365uKqirk5rkoKIwYy445ZSQJSfEU5BayeH6kB8jn//2GikA2mj2R1BQ7557VGYCr/9ELzV2B8HmodsPSLVLYBAI638ySX95n/a0TAImJdrp0ll/yRww9BoC5Mw+c8ikp9fDO+xtZu76UOfP2Nen92zWFDMOGFvKlzNodRPNLkeIWOpVG9GSHLyJSCoN+9gV8JNkVkoxnoV3VIZGSBEiREhsSKYYnpUrfCEC82lO+X8VOmlYOQEf6E2MInDlCpnVKg0vDPVRSVN24JjvLAzJtVC3KKdQPfPNuDh988AGPPfYYd999d4tPijX53yQQkFHS2g8utZkzZw7Dhw/nhRfqNji87bbbSEpKqrfceM2aNZx99tn1Nl7bH0VRuOeee3j99dfp2rUruq4f8KempobFixe3WLag0SLlgQceoH///k3qv//0009TUVHR5Da4JiZ/Zvp01PjwthiO7Wupsy02xkr3rtJfUduXYnfYOeWcE4BIzxSvx8sbz03D0e4oAK64pCcOh1wzq20s55zZCVEqexX9sFKmUH5ZlE9JiYfkZDujjs4Krx+K4CRkHQEcvPvsNzN3EjCiGL8ubvr8mXa1ypDdAcFnO4IoQiXOmKuTH5Ahlh3+6KZWK4yUTyiasqMqJFJqeVJC6R6xByH0cCQlwRAp5ezFpvgJCI1YkR0WKeuQ5eFusYtSXabD4o3yZo/uYJ0hTHQlyHj3G+zVy5v8vg/ElVdeSadOncjPz+f5559v0bVN/vdwu92sXi1N7r/++mu9+0yePJnFixdzzz33hF8TQnD99dczefJknn/+edLS0sI/qampxMTE0K9fPzp06EBsbGyjr+eKK66oNyLT2jRapMTGxrJgwQJOOOEETjnlFL766qtGHffkk08yceKBu2KamPyVGFiPLwUiPVPmzJhPVUUVn737NTVad1SLg5yOcZx4fPuo/SeM706MR66xaGOQarfgS6PseOwpHbFaI/+8Q+csrZL+iPUrN1KYW//sDr9f52sjGgOwclUJLlfTypZrz/D5ZleQSr801GYb6eJcQ6SE0j2h57llYZEij99VJSMdcYZIqaYCh9IOBQ0dDzViB24hvSlzd0vj63ZlFQAlwSQqhJ8YZBM6XYV8kgHw6GsA2YdFrp+KQEUIWRqqKR5WB/Oa9J4Phs1m45FHHgHgiSeeoKSk5CBHmPxVGT9+PGlpaaxZI/+evvHGG6SmpvLKK69E7XfBBRcQHx8fNdX4zjvvZOrUqQghKCkpifopLS0Nd4GfMGFCk6+rKU3gvv766yavXx9NauYWGxvLE088wYIFC5rkVJ8yZcohdbgzMflfImRkXbKskJ27ImmFXgN60OWITng9Pr76cBb/eekL7JlyCOHEK/vUSR3FxVq54u/ZCFc1ulD48PsKVq0pQVUVTj+1Y9S+oTRTXoGHnkNko7S539YfTVnwSx5lZV5SUx20bRODP6CzfGXThpGFKnx2V+t8uE2Gqsd31cJdZ8ORFCPdc2xsEgDL3dGRlJ31RFIURcOpyDLKgoDsZF3qbsOLa+MQQrANKVKKg8mUCXc4kmJT/OxAVjoJsR4Ai1F+3MmIzlQLGalyqD72iPImvefGMH78eAYMGEBlZSX//ve/W3x9k/8Npk2bRk1NTZTXo6SkpM4D/4QJE6isrOSll14Kv/bEE08c1DcihODUU09ttet3u91cfPHFLbJWs9riq6pKVlbWwXesRVlZyzrmTUz+rPTulUJSko2yMi9XXjeXfz+5jD17q1EUhTMMA+3zD72Mx9kXRdUY1D+VoYMz6l3r9FM7kqjLf1ufzpc+h5Ej2pCeFt2bKDbGSo9uSQB06ifTR1++PyNiYC3UufkNP1tKM/nyGxlFOXNsDiOOlI3aFi0+8AiM/QlV+MzJ1dldLYizwhkdIyIlLyDTUzuNdM858dLcu8Zbg0/oDaZ7gvjx4gqbZwuC3wGwr6IH1X7I87jYg+wqK0WKC6HLSbI2xc9OQ6Q4hOwqqyhSFA1QZQdNr9Fwzqb42KW3/D1LVdVwS/SXXnqJ3bt3t/g5TEwOlUceeYR+/frx/vvvR73+j3/8gyuuuOKAPxdffDEDBw5stC3kYNRNmrcwwWCQ+fPn8+abb/Lqq6+29ulMTP7wOB0Wnn3iaN58ZyMLFubx49x9zJmfy0nHZ3P6Scegaa+gW1Oxp0qPxcSrGp51oWkqV5+TytPfg4hNAps9bJjdnwH909iwqQxbYkdiYp2sX7mRH76aw4lnjuHjn/1szRNspxe+PYuxWlROO6UjO3ZW8ukX2/ltSQG6LlDVxpXShiIpHsPvd3aORoxFiYqk1OhBioJSrIyJTSJJ1SjXg6z3usiJl/N3dlcLgkJgVezYcODDQw2VxCgdgQW4hTT17q2UImOZdw26Mwh6Am7hpFy4KdbdoIJV8bOZTAQQSzGxuAggI1k9lc60VbbhFdLca1d87A62zoPVySefzLHHHsvcuXN5+OGHeeONN1rlPCYmzeWZZ56hvLycqVOnRqWFtm3bxoIFCxrVwqClyu4PSaTous4TTzzBe++9x+7du82JxyYmjaRD+3gevHcom7eW8/Z7m/htSQHfzt7D7J/20mnEhRSUSC/GCWPa0aXzgTuVnjgynVe+L6CaOFI6d6Rfn9R69xvYP40Pp29h/aZKLr7+Al598k1efOQ1jjpxFL9skJ4THQ2tcx+OaZtPcpKduN6pxMZYKCvzsnlLOUf0SG7U+8uKifyuAud3kbeaNrVEyk7Dj5KsWkjSLAx0xDHHVcEKTzWXJMZiV8GrQ16NIDtO9krxkU8N5cSo0WPm91VIkbJdWQmAXUihViCqKdQriAWSFQU3dkpIJY0SupOLbhhnE5U0/mkbyY/soq1/K30Ci6kSG9jiK6Or9frwDbc4+DO7/O9xhO0uYtWcRn0W+6MoCo8//jivvvpqi3XlNDFpSaZNm8ZXX31Vxyg7ceJE1qxZw6233kpmZiZWq7XOsT6fjzlz5vDRRx+1yLUckkj517/+xQsvvHBYVZWJyf8S3bsm8e+HhrN+YylvvbuR5SuLKQ22xRoPFgtceVmvRq3z9+PieHMOxGW3a/DfWu+eyVgtKkXFHk445ww+efsL9mzfy4uvL8blHUByrKC03I8SE4/WTqoMq1VlyKAM5v2cy6LfChotUjwuUAICYVHobIE2MfKaIukeHzt9MtWTY5Nm1UGGSFnmrubypDZkxylsqxTsrhZkx8leKWXkU0MFbZRoz82+yh6kpG6iPGEOACl6DyCfTwOrSVCrGAHEGK3xN4tM0pQSuiq5VCFTSVbsHGvpioMhlLpnYSdIkuJmd+AdsiynE6vkALDH/yHl+nI2+yYz0PFioz6L+hg+fDjDhw9v9vEmJq3JSSedxEknnVTn9XPPPZfvvvsuqpqoPq666ip++qnhWWRNoVmelBDvvCPnYjz44IMUFBQQDAbrrZueM2cOqnpIpzIx+Z+m1xEpPPXvETz7xNH07S3n1Fwy4Yg63pKGOHV4DKoKueUq+0rqn4zscFjo1VOKjA1bqrn6tssBOf8HoI2tEn2XLOf9cb3GCsPwetRw6eNoSinyllwdSzWgCzJqpabbGE9etSMpOVbpGRnklIPHVhgzfLIMYVPglg9BcbW7ztaKpHj9bQlqOoOHvwBKkN6M4ETteDoqyago+IwUTgAXFhS2IH02nSgAIUgkMsU5VjiwC/m+S4SsCqrRI43vqoX8vVT/lbLg8kZ/HgfD4/EcfCcTk98Zq9XK448/3qh9161b1yLnPCTlYLPZSEtL4/777yc9Pb3BJ7hjjjmGE0888VBOZWLyl6Bf31SeffJoPpt2ChPO797o4xJiFAZ2koW889c2XC4cbsu/qpizL/4b7Y/ogdKmPwC7Vm1FlBfTP0t+YT79uZdKl2DYkAwUBbZur6SouHEp3S25OvG7dJLX65TmR0RTKN1THAywxSfXComUgQ4pUrb7PZQG/eHoS55LipSYWmXINlIJChntKXF3YcjwF3A4KqipzOYMrqOTmsq0mIuZF3M9/3X8A4CgEiBLiWEnGQSESgIeHCJAEmnh67PpssmbFwu7kGblarENAL+oxCcivW22+1855PECu3fv5rzzzuPEE080J8Wb/CnIzMys9/X9i2NSU+tPOzeVQxIpF110EYFAoFH/uD788MNDOZWJyV8GRVFITDjw+In6GNVHipQF6+rvTgm1e7QUo2kao6+4BUWzoleVUFlYTmys4K4LYslOVSiuFDz/lZeEBBu9jpARmF9/a1yVz5bcIIoANQBFFYIqIxqSolqwGw8zv7lliCWU7knWLHQxBMunlSVkOuV++eFISqQMeUZ1KTv9MgKyXbWQkroFvy+GXxfdjMtrD1+HRVFpp6ZiQX6ebVUrfqzsMaInSUEPCbUiKYqQQw7dqpWCUOTGiKSE/mslEQUL5foKPKJp3Xj3x2KxMHPmTH7++We++eabQ1rLxORw8N577zFgwIA6XW4XLFjA6aef3uJjHw5JpEyaNInevXvzwQcfHHTfnj17HsqpTExMDsKIIyyoKmzL1xtM+RzRPRmHXaO8wsfqtSUsy5OpD1FeCghGDIO4GI07x9nRVPh5fZAV23WOGt74UmQhBFty5flDWd6dBfLPiqKQaURTQuXHnQxhAnBxkoxePFy0mwq7LA/Od0WXIecFS/ln/nZ+qB7FTl82RTFynZ07jsdV0ybcW6U2odk/Gaq04W2lLQBJuicqkiJ02Q/GpWoUIyM7NbqMpFQb/01QexOrdIp6rblkZWVx0003AXDXXXc12P7cxOSPwOzZs7n00ktZvXo13377bdS2M844gw8++KBORdChckgixel08v333zNz5ky+/vpr5s+fX+dnzpw5PProoxQUNK3PgomJSdNIjFUY0En+k16wrv6Uj9Wq0reP9Lz83wPLKfU5EULg27GYqnXvkJEoQ7bdsjROGSy/0H9YGeDIYTLEu2JVER7PgbvPFpQLqtxg0Qhfz46CuimfEDm1RMrVSW04Kz6VAIKX/dsIWH0UGCOOQiJljT8ft9BROInfPPeQGis7wxbskUMYd1TVFWihhm7JiryebYYvJSnoIVFEIimhyIhbsVKuyHSSS+xGF35qDD9KrNqZWFXOUKoROw74WTSGO+64g+TkZNatW9diQ9lMTFqDRx55hPbt23PNNdfw5JNP1tmekJDAs88+y4cffsiLLzbfWF6bQxIphYWFnHfeeXz00UecddZZHHfccXV+TjjhBLPMrhZTpkyhV69eLTZ8ycSkNqN6S2FxoJRPaI4PyVJ4dE7XGdB2K/7qQhZ9F5nOfUJ/udYvGwK0aRtHZoYTn09n+aqILyOvVMcfiI5chKIoORkq3dvJFFRtkZJVS6TEKippWqTIUFEUJmd2oq89hgoRoKTjDrbaStjj8/JjlRRHqlpNR6udV9p245S0baiKIM/VjjSnFF/b64mkhFrjJxh3vFxSCKBiQSdGj/hsXLoUHS7Vih8Nj7AiCFIhNrNXXySvubZIqWWqbS5JSUncddddANx///2midbkD8vmzZtZsWIFL7/8Mn361N+/adiwYQC8/PLLLXLOQxIpV111FTNnzkTXdTp37szIkSMZPXp01M/IkSNbzEDzv8D111/P+vXrWbJkycF3NjFpIkf3lCmfrXk6uaX1p3zOPL0TZ5/RiczuOQCcMcLJ2L+fDED+nkj7+57tVdqmKHh8sHBjJOWzdFkhAAs3BLjsOTcvfuOLWj8kUrpmqXTKNCIpUebZSG+FHJujjuE+RtV4M6s7aZqFgMNDafYehu1cycslMv0Tb3HzSXZPkjSNXMsvAGys7EtxqryunZX1iRQZSXEqUujYFT8VmuFd0WX0RBf+cHM4t2IlRQtQaPhSNunf4zP2i1M6E6e0nEgBuOGGG8jOzmbPnj1MnTq1RdY0MWlp4uPjSUlJOeA+e/fuBWDHjkOPMsIhipSffvoJRVH45JNP2LJlC/PmzWPOnDlRP/PmzWPNmjXYbE03ApqYmDSNqJRPA1U+TqeFsWf3pthlwarJ6EtOV1nSW5IfmViuKArH95NRjh9XBujaRaZbcvPkTJH/zpHdYn9cFaC8OiIMthoipVttkVKoo+tyn9rpnhxrxORam2yrnRkdetO2LAOry4kCaLqMhmiqhzZWlT1sooRcAgE726t6sFuT3WMPlO6xGSIlVnVRo8jrqNa3AsZUZYIIrPgUjQxVpzBk1tXXYUOuG6N2IlaVnpQasRMhDt1H4nQ6efDBBwF4++23zUofkz8knTt3ZtmyZQ1uF0Jwxx13AJCTk9Mi5zwkkdKxY0fatm3LOeecc8D9MjMzufvuuw/lVCYmJo0klPKZf4CUz0+r5Jf10O4a8U6FDp2zAXDXeCgvqQjvN8ZI+azYHsQZL3u2FBS6Wb5NZ5sRHQkEYfZKKViEEGzJk+ftlqWSnapg1cDjk14ViDR0g2jT7P50sDoY7MkiY3t3pjoHsKzTUajGvGQXlaxANovat28YfmGjUgQQik6+G5YUBvnvlkDYdBuehIwbOxZiFRc1akikbJZr6jsB0NQMUBTiVU+4wkcPyHlAXsWKRYnBqWSjYkPHi1u0zLTkSy+9lClTpvDrr7+azS9N/pDcdtttnH322Xz88cd1ts2aNYtRo0bx2WefoSgK11xzTYuc85BEysMPP0xZWRkul+ug+44YMeJQTmViYtJIDpby0XXBnDVSpIwxIiXOWCeZ7WRlze7te8L7tktV6dleRRewvTwiUqb/LFM8bZLll+nMpbIVQWGFoNIFmgqdMlQ0TaFjRrR5tnYkpeMBRApEOtVWuDXsiiVsni2jgPUsBGDPzmNAyP3iY+T7uvZnP8+tCXD7rz50IcIixa1U0U5JIE51Ua3KtFO12I4uAriEHKzoNCYiW9WqcLpHRfpEqlULfrwoimbMD2q5lI/FYuG6664jJibm4Dub/CWYMWMGI0aM4O233272Gh6Ph6lTp5KTk8POnTsP6XqOP/54rr32Ws4//3ySkpIYPHgwAwYMIDExkdNPP51FixYhhOC8884LV60dKockUs455xyeeeYZnn766YPuO378+EM5lYmJSSNJjFXon9NwyufXTUGKKgQxdhjWXQu/Hoqm7Nq6J2r/441oypLtKooCXi2Gldt1VBUenuAgxg65pYJVO/Qo06zNKoVDKOWz3Yi8REVSbPWne0KEREqkDFmmbZbxPT48xAQzKSvpgS0gr7FLqozixFrArsL6csH3e/VwI7gaKploG0EHTcWrWFBwIPDjEjupMUyziapsohekgn2k4CKeIBbytTi2W5OpRKbEIhU+LSNSaqPrOosXL27xdU3+HEyfPp3hw4eHv/ibg8vlYvLkyXTv3p3rr7+eXbt2tci13XXXXXz99dd07dqVFStWsHr1aqqqqhBC0LlzZ6ZMmcJHH330xxgw+PDDDwPw448/UlVVRXx8fJ19AoEAS5cupbS0tM42ExOT1mF0HwsrtvuYvy7I+aMjr6/YFuSxj2VfkRMGWLBbIzeSjl3as2TBcnZtixYpx/Sx8MosH9sLBImZKVTGZAFwbB+Njhkqx/WzMGNJgFnL/LRJloKkW1bk+SfsSzEiKZkWKxoQ5MDpHoA2zv1FShIAa40oSoZrNKDgFFZ8+BnbVedfXWx0S1R4Z3OQV9YHmLLOzzNZcaDJNNEoS2d+pRoXCg41B7e+kSp9E+X6CgDS1H5YWEhA8aEqOq9yASOd8/EqsgqokhJSaStFSrDlIikhKisrGTVqFOvWrWPDhg1069atRdc3+eMzZMgQ5s+fT9++fdmyZUuz1ggGg1xyySWcddZZdO/eHV2v30jfHMaOHcvYsWMpKipi586d6LpOdnY27dq1a7FzhDgkkTJnzhzmz58PyG5z9aEoCkIIM8dqYnIYGdHTwovf+Niap5NXqtM2RWXl9iAPfODBF5ARlKtOjjazd+zaHoDd2/dGvZ4QozCsu8bCDUFok4OiJQEwbqQ8/tTBUqT8sj5Ip0wpJrrWFiltokWKTVF5PKMTlXqArAaMsyHa7De/JxRJEYaJNa5CKrBY3UoFUC789DKE0kVdNT7dHiDPBfP3xEIOuKgyfqTJNlntjVvfyL7Ap3hEPhoxpKjDSOELCtlNjOqmLFgdFigAVaFIihIxz7YkCQkJZGdns3r1au69994WmyZr8uehc2cZpRs4cGCzRUp8fDzx8fGkp6eTlpZGYWFhS14iAOnp6aSnpx98x0PgkCMpxxxzDOPGjaNLly7Y7XVvOH6/n19++SUsZkxMTFqfpFiFfjkqK7frzF8X4Ihsjfvf9+D1w7BuGveNt2OzRD84dOgiRcqurbvrrDemn4WFG4JUW5JRgOx4D53bxAKy8Vu3LJUtuTqba1X2hOhsRFJySwUen8BhU7jI6Cx7MNruN78nFEkByKE3Xk86ECBBsZIL5Af94e0Oi8J1vS08tCzA51tjGJoDbqopQkaKEkgjUe1FLp9Soa8BIF0bjaY4SCOLQnaTrvhxK96oa6qkRF6LmgOAS9/V4g9ijz32GLNmzWL69OncdtttDBkypMXWNvnz4HAcONJ4uNcJsXfvXp566ilmzJjB7t27SUhIoG/fvpx//vlcccUVLVrNe0giZdSoUUyYMOGgXRJ1XScjo3E3JRMTk5bhmD4WVm738c3iAO/P9eP1w5Cu9QsUgA6dpUjZuzOXYDCIpkX8KsN7aMQ5oNroM5ZtLQUi/Y9OG2Lh+a+kmVZTI8IEIClOISkWymtgV5FOj3aRdQ9GaH5PlR+q/YJYa2J4W3+O5TefMRPIKCcuCET3bDkuS+OhZQEKquKMVwQ7kdNZ08giTo1OpWRa5Hj6FGRKK00LUKDXL1KcSjYKGkFceEURDqXl7nH9+vXjoosu4r333uPOO+/khx9+aLG1Tf48tJTwbUkBPXPmTC644AKqq6vDpfKlpaXMmzePefPm8cwzz/DRRx8xcODAFjnfIRlnQbbJ9fv9B9xHVVXmzZt3qKcyMTFpAiOMKp/CCoHXD4O7ajxwgT1saN2fNtkZaBYNv89P7u78qG02i8LoPvKZRtRUECiP9pgd29eCw3h46ljLNBuivqZujSHWqpBg9H4rcIvwkEErdnpyJJXGrSfVqNQpCETfi+KsCvFWEEIjISjn9cxDlk+mkU2s0hnFKGu2EE+KeqRczxApsaobhxotfEIiRVWsOBS5X6gyqCV5+OGHsdls/Pjjj8yePbvF1zc5fFRWVkb9eL3egx/0B2T9+vWcc845VFVVMXToUB566CGmT5/O7NmzmTVrFq+99hp9+vThtNNOCzd1O1QaHUn54IMPuPDCC+u83rFjx0Yd37t37yata2JicmgkxSoM7KSxbFuQwV00HjyAQAHQNI3UzGQK9xWza9tu2neKNsFddJyVgkI3v83cQGHb6GhIjF3h2L4Wvl0W4Ijsus8+ndqorNiuR7XHbyxtYhQqKwT5LkHfhL4kkcFAjseOk0qfFBChoYX7R1JCx1dVCHqW/ZM1aY+F/ShptENT7MQoOdSIbaRrx6IqVmObFB+aUoXDiNL4hAWbEgiLFIBYpSNusYcafRv5gRnEqB3JsV7e5PdYHzk5OVx77bU8//zz3HnnnRx//PGo6iE/V5o0gR9qjsaiNT9VEqjxAF/Rvn37qNcfeOCBcPO+PxOTJk0iPT2dd999l+OOO67efa688kqef/55nnzyyTqTkptDo//Gt9YH+mf8H2Vi8mfh5jNt3HKmjQcuPLBACZHaJhmoW4YMkBqvcvVJGnhqKCis2xvpypNsXDLGykXHWuts67xfGXJTCKV88lyCBFK5iamM5lwAKg1N0tZSfyQFIhVCNZWduIJHSEQa/drTQ263nIJGLNnWv0feqzElOahUEavI91oelKbdUAkyQIwqH9L2BT4jLziD7f5X0cWBBzA2hXvuuYf4+HhsNhslJSUHP8DkD8mePXuoqKgI/4RmNf3ZmDt3Ll999VWDAiXEjTfe2GI+1EZHUlqrTbPZ/tnEpPXISFI5ZXDjn75T28i5HDu31DXPAmRmyIZuNTUBqqv9xMVFBEm8U2HCsfUb5joYDd32Fjf933vIPFvgqntslV++1t5mgwCU6QE8uo6jVsQh3GvFLUgli+t4hgpKSEf2hcmxXkZHy6VReXsn8SSRQTmFZFrkQMUKPZ4MSqmhgiB+NKxhkRKahiwI4hUFOJWWKcVMT09n6dKldOvWzayQ/BOTkJBAQkLC730Zh0xcXFyjvCaKorRYNVGj716t9Q/E/IdnYvLHIc0QKbu31Y2kADgdFhITjNRKPdGUhshOlbea0mpBtbtpQqW2yNifkCeljU3DYdxLCoPRKZ/9G8LZcIYFSoj67kN9GQWARZHRn0o9Dl2ogKCKcoBw19nahIYUthTdu3c375MmfwiSkpKoqqo66H4vvvhivdW+zaHRkZSdO3eGa7dbkn37WvYftImJSfMJR1LqKUMOkZnhpKLSR0Ghmy6dExvcrzaxDoXUeIWSKsHeYp0j2je+wmd/kVGbKqO6J9GmkmGxsdvvJT/gp0OtJnFtD3D8gRjAsSzg0/CfPcKOXziwKy4qKSGJ9HAZcm3cYi8wrEnnagwVFRW8+OKL3HzzzcTFxR38ABOTFua8887jiiuu4K233qr37+CmTZt4/vnnee2117jxxhtb5JyNFimBQOCQ+/7Xh/mEYGLyxyE1U3pSCvOKcFW7iImrO0cmMyOGzVsrmhRJAWifJkXKnqaKFMNTsqNKcN8SHwvydcZ30bimp4UKI2iSYFPI1Kzs9nvrmGfb1PK0NIUU2tKBI9jNRgC8ug2vsGPHRQUyBWQlGQvxBIg8Xbr11nnwOvnkk/ntt98AuPfee1vlHCYmB+Kmm25i1KhRtG/fnjFjxpCTk4OiKOzbt49NmzaxatUqALKzs7n//vtb5JyNTvfout4qP8HgoY85NzExaRli4pwkpcjoyP6dZ0NkZEQGDTaF9unydrOnib6UUCSl3Aez9uhU++HTHUHcQQgYSyXYIoML8/czz4YiKUUeCOhNO3d/pEFQFRZ8WKnWpWhbwCd4caMoStiXYkVGoVo63RMiNLDtySefpLi4uFXOYWJyIBwOB99//z2nnnoqn3/+Oc8++yzPPvss06dPZ+XKlQghOPLII/nll19ITk5ukXOa9WyHmSlTptCrVy+GDh36e1+KiUm9hNrjN5TyaZMpv6jzC5oaSQmJlKZV+KQ5oGeSQowFzs7RsGtQ5oXVJXIdTQGn1nAZcqoDLAoEBRR7mnRq+jCCHHrTh+MAhS3+DsSTQhF7eZ9HmMNHpFpOJ0UdRmerHE3fWpGU888/n4EDB1JVVcWjjz7aKucw+WMRCMhKsYYe5ufMmcPw4cMPWup7sHWaQnJyMh988AHr1q3jnnvu4ayzzuKkk07iuuuuY9asWfzyyy9kZ2cffKFGYoqUw8z111/P+vXrWbJkye99KSYm9XKg9vgQqfApbGIkJTskUoqaJlJUReHd42zM+ZudewZZ6Zci15ljtOBPsMm0cRujDDl/P5GiKgqZzfSl2HByKQ9xPJcC4BZWzhW3oGFhD5uYz8cssmxgoGMKSVp/Y5+9rVK1qKoqjz/+OABTp05tsam2Jn9M3G43q1evBuDXX3+td5/JkyezePFi7rnnngbX2bFjR7jSpqF1mkPPnj2ZNGkSn376KbNmzeKll17i5JNPbrH1Q5gixcTEJIpQe/z9pyGHyMyQkZQme1LSpVDILRUEgk37ElcUBc3wrw02xM68PPlUGG/0f4lEUhrulZLnEggh8DZxIqy9ln0vlc78g38ziBMBKKcIIFx2HKCagNEwrqU58cQTGTNmDD6fr8Vy/iZ/PMaPH09aWhpr1siZUm+88Qapqam88sorUftdcMEFxMfHc+mll9a7TseOHenevXu4K/xFF11EVlYWK1eubNXrBzkpuSUwRYqJiUkU4XTPQXqllFf48Hga37gsLV7BYYOgDnllzY80DDK8LaHUTaLRmiUUSSkI1td1Vv43161zee4Wem1bxh5/41uT29AIWfy9IkBbOjOcUwGoMQSJpjiwKWlA66V8FEUJR1Pee++98JO2yf8W06ZNo6amBiFE+KekpISJEydG7TdhwgQqKyt56aWX6l1n165d+P3+qHVyc3MZMGBAq117MBhk9uzZfP/99y2y3iENGDQxMfnfo2OtdE99033j4qzExliocQUoKHTTsUN8o9ZVVYXsVJWteTp7ivSwR6Wp9E5WsKvgNYIhjYmkhMyzM/z5LKopA+A3dxXtrY3r5aAoCnYseAjgRQqzGGRzLjfV6ARR0XAq2fhEMUu8l9JW+xu97C0f7Rg6dCjjx4/HbreTkpLS4uubmMTHx+NyNS1S2lqYkRQTE5Mo2nVsi6qquGrcFOXXbcWuKMohVPhIsdBUX0pt7JpCn5TIrSshFEnRZCSlUg/i0qMNgm2cCt6YGn615oZf292ESApEUj4RkRISZwI31fI1pUN4/7zg1wRF0z6fxvLf//6Xt99+u0UNiiYmIS688MKo6EtzfloKU6SYmJhEYbPbaNdRzq7Zva2hlE/zfCkd0ppXhrw/g9Ii0Z0EI5ISp2rEKHL9/aMpJbZqSjvsQCgQZ7TM31tLpKz3uri7YCeX79tMZbD+FJZdkSLFY8zmUdFwIhtahVI+OdbLaW8ZHz7GIwqa/yYPgKY1vs+MiUlTueGGGxg+fDh5eXn4/f4mtRXx+Xz88MMPWCwtk6gxRYqJiUkdOnaVEYGGypAzGxFJ2b6jktk/7ol6qor0Sml+JAVgcHrdSIqiKGQavpTcQESAvFNewAM1m9EtQeweJ/ekynRWKJLyXMk+jt+1hrcqCvi2poyvqyMDBGuzfyQFIikfFxXyz2o23W3/IlbpBLSeSAmxefNmxo0bx5dfftmq5zH5a9G3b18uvPBCMjMzmyyILRYLY8aM4frrr2+Ra2m21PH5fHz77bfMmzeP7du343K5SE5Opnv37hx//PEcc8wxLXKBJiYmh5+OXTvw8+xF7KxnGjJEeqUUNhBJCQR07rr/V4pLPKSmOhg0wJg8XKtXSn1+l8bgqnbRM9GGVQW/HvGkAPSwxbDD7+Xhoj180T6eDysKuadIluo6y5NI2teejjlSZOwxhMxMQ5QkqBqVepAdvvqbqTgUCwhpnA0RSwIl5FJDJUuCe0jCQTctHbuSSY3YgbeVRco777zDJ598wrp16xg7dmyLPb2amBxqW/tnnnmmRa6jWZGU119/nZycHM4++2yee+45vvrqK3744Qc+/vhjHn30UcaMGUO/fv346aefWuQiTUxMDi8h82xDgwZD6Z6GGrrN/zmX4hL5Zb9qdcTXkpWioCpQ44Gy6qanfLZv2skxXU7lmTsmh/ulpDkiIuWhjA4kqxZWe2s4d+967jUEys0pWXQt6oAqVPDK0Euu34df6GwxRMm58bIyZ4e/fpFyoEhKvl7EzZ4v+D/v1wA4lEyg9SMpt99+OykpKWzYsIF33323Vc9lYhJi+/btTJ48mTvuuCP82rx585g2bVqLG26bJFJ0Xeeiiy5i4sSJ5OfnH9A0s3btWk466aQWU1MmJiaHj5xDSPcIIfjki+3hP69dH0mf2KwKmcmGebYZvpSlPy8nEAjy1QczuaaDixt6WzgmK3Ib62B18EZWNyworPDUIIDLEzO5PTWb7okybL1oo4KqKwQQLHFX4xE6dkXhmFg5DmCnr35DbUikeKJEijFCQOSiIygU1QSEjl2VIsWrt65ISUxM5O677wbggQcewO1uHaOuiUmISZMm0aNHD26//Xbeeuut8OvHHHMMXq+XwYMHs3DhwhY7X5NEyr333ssHH3yAEIKcnBwef/xxfvvtN4qKivD5fJSUlLB8+XKee+45evXqha7r3HbbbXzyySctdsEmJiatT8iTkrsrD7+vbklvqLqnpNSD3x/tL1m/sYxNm8sJZXI2bCojEIjs09z2+AB7d8nqnEAgyIZvv+eyHhYcWnTKaERMAo9n5mBF4bz4NCZldERRFLolyv3m79SxVEvvyo815QB0sTrppMly5B1+T53qhD3VOutK5HXvn+4BKCYSLarEU28kRQhBSXAhPlHe5Pd9IK6//nrat2/P3r17mTJlSouubWJSm7feeosHHniAYDBYbwXPpZdeyuWXX84JJ5zAsmXLWuScjRYpu3fvZvLkyaiqyj333MOWLVu4/fbbGTp0KKmpqVgsFpKTkxkwYAD//Oc/Wbt2LZMnT8ZisXDrrbfi89VtsGRiYvLHJL1NKjGxToLBIHt35tbZnpxkx2ZTEQKKiqOf3j8zoignHt+e+DgrXm+QrdsrwtvbpzW/DHnfrrzw719+MKPBUscJiRls6DqYF9t2CXeq7ZYob3dVCtgMkfKDIVK62R188Z0COriFTkEwWpgtyNdxeWUkpna6JyRSKigLv1YpPNgNkVLbk1IUnMNK700s9Vze5Pd9IBwOBw899BAA//73vykvL2/R9U1MQjz33HMMGDCAJUuW4Ha7SU1NrbPP2WefjcfjabFJ3Y0WKdOmTcPv9/PYY48xadKkRjl+b7nlFt566y327t3LRx99dEgXamJicvhQFCUcTdm+aWe928NlyLV8KYVFbub/IoXEeWd1pncv2Wxs7bpIyidc4VPU9HTPvl0RwbRl3TY2rdnS4L6xavQ9qrsRSfHZwVojfSmbfVJgdbc5Wb1NYKuR4mX7fubZIreAYMiTEunBEiNCDd2qwq9ViNqRlMLw68XB+XJfsRddtOxD2yWXXEKvXr0oKys76LA5E5Pmsn37dr755hsGDx6M3W6v1/hutcp/Q7/88kuLnLPRIuXnn3/m6KOP5rbbbmvSCS688ELGjx/fYi1yTUxMDg/denUBYOuGbfVur8+X8uU3O9B1Qf9+qXTpnEifkEip5UvZP92zY/MuZn78/UEbQAkh2GdEdULX9tWHMxv9fnLiFSwKCE3B6rZFbcsWTooqBLYqmfLZuZ95ttCjEzTuxx4hoyxbfG5uypOREkWJ7F8h3NiVDACC1BAQstGbpsRF9tHXNfq6G4OmaTz99NM8+uij/Otf/2rRtU1MQuTk5JCVlXXAfb777jtADsRsCRq9ypYtW7jpppuadZKbb76ZpUuXNutYExOT34euvToDsGX99nq379/QzeUKMGOWrKY590x5bJ/eUqSsW18aFiEhkVJYIXjqMy933vE+90x8mNVLD/zFXVleRXVVDQDX3H4FALM+mV2vZ6Y+LKpClsP43W+N2uaslOLEXiXFyw6fhx/2Bflku0ztrAtW4k6Q0ZJQuucfuZsp9MnjbESuoVJ4sSgxWIyOtCFfik8Uh/cp01v+fnjqqady9913Exsb2+Jrm5iA7J+yaNGiBrfv2LGDBx54AEVRGDFiRIucs9EipaCggGOPPbZZJxk2bBg1NTXNOtbExOT3oVtPGa3Ysn5rvdszM2Uk5ePPt3HGeTP523kzqar2k5SgcOSwNgD06JaE1aJSWuYlL1+KmcRYhaHdZCrmh5UByvveRPL5L7N1V/UBryfkjUnLTOXY00aS3iaN8tIKfp27pNHvKcPoqaIGIzN7LCj4CqVosYVEit/Dg0v9PL4yQJ5LkKu40EXIOBskIARbfB7cQSnUrIofkCKsAhlVceznS/HWSv2UBVv3oU3XdSoqKg6+o4lJE7j33nuZMGECn3zySZTPtLKykjfeeIMjjzySwsJCLBYLDzzwQIucs9Eixev1kpaW1uwThfJUJiYmfw669ZYiZc/2fbhddXuH9OiWBIDbHaTGJaMLQg+QrG5DMypubDaNbt1kmW7tlM+ki+w8e6WDozq7EX4P1rTOfLC+O7mlDZtpc3fnojgSiBt9Ayt3QL+hfYzX8xo8Zn+SjIySIiLpnk42O7vz5e92I92zzefFY1hPdlbpVOBDGCLFI/wscss2+J6gFGqqAg7Dq1JhzOux7+dL8Yqi8Dkr9DUERf39WA6VJUuWMGjQIK688spWWd/k8DFjxgxGjBjB22+/3azj8/Pzueaaa+jcuTOdOnXi/PPPZ/fu+tsK7M/rr79e57VevXrx8ssvM3HiRBISEti2bRtt27YlJSWFa665hqKiImJjY/nvf//L8OHDm3XN+9NokeLxePD7GxdWrY+qqqqD72RiYvKHITUjheS0JIQQ9ZpnBw9MZ+pzo3n+qaM5dXg5ZcteoGzJM3gKo9M2feoxzyqKQq8OGkclrqLkv5cRKN1FdcDObW96GhQqu3bkk3jag7gyRvDeTz4Sk2U6paK88fcWh3ELExYLSkAKqe42J9sL5DlDkZRdfg/CiIxsKhd4rRGRUqkH+KJSlhzraPiFNNR20+T1VBriw67ILrtevRAh9CiRIvDjEY0XV03B6XSyevVqPvnkE5YsaXyUyeSPw/Tp0xk+fDinn376AdMrB2LHjh0MGTKEsrIy1q1bx9atW8nKymLIkCFs2rTpoMc/+OCD5Ofn13n95JNPZvPmzUyaNInjjz+e1NRUunbtyujRo7nvvvvYuHEj48aNa9Y110ejRYoQgs2bNzfrJGVlZZSU1J2mamJi8sfmQCkfRVHo0T2JzFTBZ/95DxGQX861K3CAes2zIbZu2I7uKqP8yztI0KoorhTc9qaH0qpooSKEYG5hT2xtewNQVClISJKVNZVllY1+P5pbCg9hV7EZFT5drU52FRoipdoaLkPWLTI6tLxYJ2j1I4QUNeVBH7OqQyXHAp+QUeIeqiGaDJFiU2R5po9SfJQhCAIKMUoOAB5R9wugJejTpw+XXHIJAHfeeWeLTqQ1OTwMGTKE+fPn061bt2YdHwwGGTduHD6fj7feegun0xk2VzscDv7+978fNOiQl5fHwIEDmTp1ap0mgSkpKdx2223MnDmTtWvXsnHjRubMmcNDDz1Eu3btmnXNDdEk++3555/P6NGjm/xz4okntuhFm5iYHB5CKZ+tDZhnAV554j+4a9zhfctLK6iqjPhLQmXIu3ZXUVkVXXobWld3lTHSMYfsNIXiSsHni6InEf93jp8iS3eEkGKipFIPi5SKg4iULblB8ozoTHWVQPHJL+1QJU8HfyxeP9it0CFZC5chB2yy8+zKkiABqw8hpI+mWPdSpgdQgQSrPyxSsjQpeirCkRRDpIiScBTFRgpOJRtoPZEC8PDDD2Oz2fjpp5+YPXt2q53HpHXo3LkzdrudgQMHNuv4Dz/8kGXLljFu3LgoI7WmaVxwwQWsXr2a//znPwddZ9CgQbz66qtkZWVx0003sWHDhmZdz6HQpGlU69evb/aJmjNIzMTE5PclUuFTfxny1g3b+eK/MwC468lb+del91BWXE7urjx69JVPgUmJdtpnx7FnbzXr1pdy1PA24eO3bdyOPb0f1qTOeCsruPJMGw9+4GXmMj8TjrXisCnsLNB5f5586vMs/wLHoLNBUbDESxFQWd6wSFm5Pcid73jISFR45xYnpVUCTVUI2CBjXRZpm5KJGxwH+MnJUIlzKlhdVnzxfoJWec4qEQBVhNM9ZboUL9lWOxZbTVikWBUpwOpEUkQJXl36UuxqBg41E3Tw6E0TKULolOq/kqD2wqokHXDfDh06cP311/Pss89yxx13cMIJJ7RYSajJ4cPhcDTruPfffx+g3gqbI488EpCek4kTJza4xqmnnsqMGfLf9tq1a3nttdc4+uij6devH9dddx3nnHPOYRlo2egzKIrCuHHj6Nq1a5NMsIFAgK1btzJ9+vRmXaCJicnvRyTdU79IefaBKei6zpjTj2Hgkf3J7phFWXE5e3fmhkUKyGjK/iLFXeNm7848Egeeg2p1smxrDbd2U2mbrJBXJvhxVYCxQ628O8eHEODb/guBfRuhrw9sdqqCSQCUl9YvUmo8gme+8CIEFJQLCsoFpVUCNVY+MCU7rPj2WPjkZxm16dRGRQEsbnl/CxrpnqBNihXdSPdUG+XGOVY7JVZPWKSoSPFSSbRI8daKpNiVdByKfP9NHT6YG/yCjb7HSFB7M9Tx9kH3v/vuu/nPf/7DypUr+eijj7jggguadD6T359mTQl3uZg7dy4gIzL707dvXwBWrFhBeXk5SUlJ9a7z2GOPhX/v06cPL7zwAk888QQffvghkydP5p///CdXXHEFV199NTk5OU2+zsbSaJEyfvz4sDprDk6ns9nH/i8xZcoUpkyZQjAYPPjOJia/M52P6ISiKJQVl1NSWEpqRkp427KFK1n4429YrBZueuBaANrlZLFm2Xr27doXtU7fXil8+/1uVqyK9ArZvmknakwGqlXeG4qrYvlu9h7OPDKLV2b5+HyRn25ZKr+sD6IgqPrtHWLSBoDfCzY7+ZXyuIY8Ka9/56OgPOLHWLsrSLUHlIAAFFJTVfL2BMP7dGmjUu0RWMvkbVE3IilBq4yQhCIpfkWKl85WB+UWN35DpAhF5u0rhZz9E4mklIbLj6NFStMiKXv9H8v1G9kILi0tjdtvv517772XL7/80hQpvyOVldF/R+12O3a7vYG9D40NGzbg8UihnJ2dXWd7SJQIIVi9ejWjR4+ud51+/frVec3pdHLFFVdwxRVXsGLFCl555RUGDBjA0UcfzbXXXsvYsWNbPGvSaJEycuTIQzrRoR7/v8L111/P9ddfT2VlJYmJib/35ZiYHBBnjIP2nduxe9tetqzfFiVSZn/xEwBj/34yHTrLm2F2R9mNcv95P0OHZKAosHFzOUXFbtLTnGzdsB1rYg4AesCLarEz9bW1vPBsGjF2OSX5kY9kdKJ/20q+L92FPecEhN+LAuRXyNtXRT3pnlU7gsxaJsVE17YqW/N0ftssHwysOniBbh1VrullYe0unWqP4Pj+FhZtDGDNDUVSpEgJhEWK9KQoivS3dLI5WKpF0j1B3ICGjyAeAtgU+VnpeHAJ2eTOrmSERYp3P5FSHlzJJt+TdLf9i2RtcJ335BN1jccH4+abb6ZXr16cddZZTT7WBHbnDUGtan5zPL1a9gdr37591OsPPPAADz744KFcWoMUFUWqyOqLktT+3ikuLq6zvbEMHDiQV199laeffpr33nuPe++9lxtuuIGrr76af/zjH2RmZjZ77do0Okl57bXXHtKJrrjiikM63sTE5Pehaz0pHyEE87+X49jHjI08ibXLkSJl/wqf1BQHvXvKL+0FxmyfLbVEinvvfGK0cjyeIM+/sJwTB0gBUlAuUFXo5ZCGPcWaAD4pXAorjJLgsqo6FSwf/ywFxmlDLJw2RK61dIsUKfHGo1m5H446wsJVJ9u45Uw7sQ6FzCQVq0vuEPKkhNI9mk8aYxWkSMmx2vGo1fiQIsVLNRbjllohPFiUGDSMaI8ur3//dE/ICAywzHsV1WILa331D2bz0XSREhsby9lnn216An9n9uzZQ0VFRfjnrrvuarVz1a6kjYmJqbO9tjcpFHE5FOLj4znxxBMZNWoUeXl53HfffXTo0IHzzz//kNeGJlb3NJZFixYxffp0Fi9e3BrLm5iYHEa611Phs23jDvL25GN32Bg6KvLUH46k7Ko7OXnU0W2BWiJl/S4scbJc0V++gxSxmtgYC+s2lNEptoLQ9+pJAy1U520H1UYQK8IvIxs1Pg3FGkswGKSmKjLkcF+JzpItQRQFxo200r2dvM25pLYhyeg6W+6VwqbYI5i9N0hQCNITlVqeFD+Jtki6JzkgZ++EIikpVkFACeDT5f4upZJERRodQw3dQikfj5CfR4zSAZuSBqgIAvUKD79onU6xlZWVYa+CyeElISEh6qe1Uj0ANlukUWF95ee1O8WmpKTU2d4Uvv/+e8aOHUvPnj2ZOnUqfr8fq9XK+PHjueOOOw5p7RCNTvfMnFn/IK/TTjst/PvatWsZP358VJnSwIEDmT59er0GHhMTkz8+9UVSFhhRlKGjBuOMiVQghCIpubvzCQaDUdPSRx3dlpdfX8eadSWUlnnYtsuDkqkR6whS6i3H7ypj6MgM5s7Ppbq0irOPTGTp1iAXHWvl2Zm5aHYZpnZqAXwAVjvOlI64CtZTWV5JXIIMy3/1m4x8DO2mkZWi4gsILBoEDBtYmlOKlFJDtExe7Wf2Xp1Hh1o5PkvF7g55UgL0TlbYYoiUHOLZhxQpKhDQaiAALqM1vosqEnBQgosKPBSymxrFj1rreyJW7YyqWLAr6XhFAW49D7uWFh5CCJF2+rXZX7gIIZoUHdm6dStHHXUUHo+Hbdu2kZGR0ehjTf5ctGkTqZ6rqampYysoLy8P/96cLvIul4t33nmHF198MdwUTghBZmYmEydOZOLEiS2W6oEmRFLWrFnD3/72N/72t7/x0EMPsWXLlqg3v2fPHsaMGcOGDRsQQhAfH8+gQYPYsGEDxx13HKWlTQ9VmpiY/P6EypC3b9oRNnyHRMqok6JLHDPapmOxWgj4AxTmFUVty8yIoUf3JISA2T9sxy1klKFnNykuPC4PbTPlF35efg3XnGrn9RtjSE9U2bszF9Uh7zcp8fLLWbHacKbkAJFeKW6v4PsV0otyxnApNmwWhU6ZkVtdhmExKDMiKTur5H9XFOtYNIUMi3wSFapO9xQIGGmffjbZl0VVdbKtNkqE9Bu4/bKJm4tKEhX5hFwpPMxjOqVKpBuuX7HjNsqUHYqMKj3o+YC3fUuo1CPtHQRBvKIYnygPv+bS90Z9ljoe3Po+fKKMxtC5c2c6dOhAdXU1jz76aKOOMflz0qdPn7CAzc2tG9EsKJBVZTabjZ49eza4zv6emZ07d/J///d/ZGdnc8MNN7Bx40aEEAwcOJB33nmH3bt388ADD7SoQIEmiJRQ2dLUqVP57bffuOmmmzj66KPD26+99tqwCefss89mz549LFmyhO3bt5OZmcmTTz7ZohduYmJyeMjOycIR48Dr8bFn+z7KSytYtXgtAKNOOipqX03TyOogn+T27Ww45TNn7p6wH6V/32QAXDVu2raVCiK/wBV1XO7uPFQjkpKZbERnbHbUWBm5CYmUH1YFcHmhXarC4C6RKE63rMitrm2cvIFX+sGvCwpcUqSsL5NpnM6pFpSg3D892YuwSGHW2RoxUHa0WikTxvTngBRWAXwka4Uc6VhBgdjBPrbhUyLnrVJUNrMMiERLNMpYGNwZVbHjEXn86h7Pb+7x6EIKLrfYE/V5uMQeFnrOYoH7pDqfcX2oqsoTTzwBwMsvv8yOHTsadZzJn4/k5GSGDRsGwLp1dSvBtm6V3aNHjx59wInZ06ZNY+3atXz22WeceeaZdOvWjWeffZby8nJUVeW8885jwYIFLF26lIsvvrjV5vM1WqR8/fXX3HrrrVxzzTV1ts2aNYuZM2fKeRy9ejFt2jTi4+XTRWZmJq+//jpffPFFi120iYnJ4UPTNLr06ATAlg3bWPjjb+i6TrdeXWib3abO/gfypYw2RMrWHR40Zyog6NdH5sXdLjdtwpGUiEgpzCumpLA0nO7JzjRuhhYbQUsyqNZwQ7c5q+WX+t+GWVHVSDqktkjxFexBMQyruTWCSqM7+OYKgS8o6JGtoPnlOfaqMg2TqGq0tUZy/R2sVsqQvhNf0EFAl1Ebh2UdSVoV+eoKAvjxKxGh5FKtlCD9OKHKnzg8uPFHRVIAAlTgo4RyfYX8bET0Z1keXBn+XReNm6l2wgkncMIJJ+D3+7n//vsbdYzJn5Orr74agPnz59fZFpoFdOGFFx5wjc2bN9O/f3/GjRvHN998QzAYJCkpidtvv53t27czffr0qEBFa9FokTJ37tx6jTC6rnP77beH//zCCy/UUVT9+/ePyoOZmJj8uQh3nl23jQWz60/1hGhniJT6IintsuLo3CkBgRQQKfF+UtPk05zb5aFtGylS8gtcYdPf7C9lqXNSpizjzGnrQFONRlcWB5a4tlSUybTKvhIpPvp0jL611RYpP370GXplOQBL90ZMhAEhhUqHLA0tIO9hcz0yndLfEUuiVQvP7+loi0RSgrotPA1ZKDKa7FLyqKEcXy2RUqNaKRayf0yUSBE+3HrdzwqgKDjPuLZoT0qAiIelsSkfgMcffxyQHUlXrVrV6ONMfh8CAaOhYAN9tebMmcPw4cN54YUXol6/+OKL6du3L9OnT4+q4PH5fEybNo0+ffpw0UUXHfT8QgiEEPTs2ZNXXnmFvXv38vjjj9cpqW5NGi1S/H5/vSabN954g3Xr1qEoCqeffjrHHXdcvcfHxcU1/ypNTEx+V0IVPpvWbOaXH34F6qZ6QmTnNBxJgUjKB+CIbjHExEph4vf5SU6yoqrg8+mUlkln67efytkzzkQ5Vbht25iwLwWbHUtsWyrLKnF5BeXSJkJWSvStLSdDxWqUCVSXFqN65c3/mY92Ru23vkwnPVVBNSIpyzxSDAxyxBFnUSAoRcdJ8YmUGRU8um7FbYgUjMqfoBKacBwpAXWpNtaKTawO5oVFSixuXMIfJTpqUxychxACv4je7qklavw0XqQMHjyY888/HyFEq5bBmhw6breb1atXA/Drr7/Wu8/kyZNZvHgx99xzT9TrVquVDz74gEAgwK233kogEMDlcnHFFVeg6zqffPJJo9IzRx99NN9//z1r167l6quv/l2asjZapFRXV9dRc8XFxdx9990AWCyWBn0n+fn59dZrm5iY/DkIVfgs/PE3qiqqSUxOoO+Q3vXu266jLCuuL5ICMGpERKSMGtkhqjoo4POSniZvhPn5Lvbs2Mfa5RtQVRWXV6qMNpkxpIbNs3a02EwqyivJL5ORl3gnxDqiK1+sFoWbz7Bx8XFWPHRG9UuxEUhLiNpvfZmOT1HCkZRQYc4gRxxxViAoX9dUQbkhUqy6DU8w+v4WKlO2K1JY6Si4FCs2pYY3/QujIiku/AQME66N6JJQj8inVF9EgOiGdW4R6ejb1CZvjzzyCDabjbS0tKhyVJM/DuPHjyctLY01a9YAMhiQmprKK6+8ErXfBRdcQHx8PJdeemmdNfr06cOiRYsoKCigW7duDBgwgKSkJFatWkWPHj0Oeg19+vThp59+4oQTTmiZN9VMGl2CPGjQIJ5//nluvfVWQIaBLrvsMkpLS1EUhRtvvLHBN/7iiy8yZsyYlrliExOTw04o3RMw6niPPv7IqPLi2hwskpKWrOIpWI6i2Rlx9IlYbVY0TSMYDOKu8dCmTQwFhW5y82tYtEKmegaOHM4Or46iQGamk9R4w4dhtWOJzaSybF940nHblPqfvU4YIAXGm/+OR/X4CALBVMM754QCN6wrExybJdD80bfGgY44LEEFPPI9u3R/ON0ThzOc7tmfGLUTcUoNS4SGHw8WRcdFKTZ6Gsd68BKJpMSoHfHpUnTEKB1wid1s8b2AVYkWU7U9Kk0VKV27dmXXrl1RpaomfyymTZvWqP0mTJjAhAkTGtzerVs3Pv3002Zdw8SJE1vNDNsUGh1J+b//+z9uv/12rrrqKqZOncqYMWOYNWsWiqLQtWtXHn744XqP+/TTT3nqqad+dzVmYmLSfFLSkknLTA3/edTJ9ftRALI6ykhJWXF5VJO1EKXFZbh2/oDI/4m4eCeKooSjKW6Xm7ZtjAqffBfffvYDAEOOlV1tU1Mc2KwaqQlGJMVmQ3MkU1rqIs+IpLRNbrh/SDCogxaD4jYiCHZ5Ez42S4qPnVWCXJcIR1IAOlrtpFmsRiRFipfyQCCc7klUHLiD9UeKk5QshjvfZ4YYSY0u9wkqZbXSPR5sBAAp/mKUjuFje9kewEIiNWJb2EBrQabNPYcgUgBToJgclOuuu+73vgSgCSJlzJgxTJ48mbfeeosbb7yRefNkrrRz587MnDkzKp2Tm5vLxx9/zFlnncW4ceMIBoPmQD0Tkz85XXvKaIqmaYwYM6zB/eIT4khKkZU4+3bXjaaUFUsPRUp6cvg1Z6yMRLhr9UrZvKmAbRt3YLVZ6dhDRh7aGMbaULrH6pTiprhMHDSSAlBSUoOiaiie6DRHzySVtjEyvbMoXw97UgB6qlI0WVQFRZdiJj/owmcIi2QlpsFISjIZCCGowodLGOZayrEq8r1bFJ1EZKpHQUNTIvfReLUnydrAqPVC/VVq0xTj7P5s2bIl7FkwMfkj0uh0D8BNN93E8ccfz7Rp0ygtLaV///5cfPHFdfwm7733HgBHHXUURx0lzXWhznQmJiZ/Trr26syvc5fQf3hfEpISDrhvu45ZlJdWsG9nLt17d43aVlIYEikR/4UzNhJJadNGRmw2bZJNp44+/kjKK40oSWa0SLHHOvAClS4beaWRSIoQgt3b9pDdqV1UWio/z2iuVh1tRM10wpA0ja93B1lUqKPVCnNvWWJnizVItywNTVgIAvuCVaCBEyspmo3iWiLFqzuxqzLKkkQGXgIE0anR5T6xWjE+xYcPOza8pBl+E41YBJGHOVWxhtvqh3CobagObol6zd+MSArIYojRo0eTn59Pr169uPLKK5u1jolJa9IkkQLSTPPII48ccJ+W6tlvYmLyx+HcS85k3fINTLz94MNC2+VksW7Fhnp9KaVGJCW1diQlRn6Bu2rctM2SQqSsXH5hn3T2GDbkyrRRKJKSEi+jJYrdEDd6LHllkUjKvG9/4ZaL7uTSGy/k5gcjYeuCAilSlJpIJ1iATKfCuZ2lSAHQArVujblOHv/Yy39uigmLlHxdipRkxUmCaokyznr1dthV2TArmQyqhKxSqtJlRCbNUsoUcTOdcWLDSyryWixKHB0s48kLfEM7y5kAdUWKUjdN4xNl7GUzAp32HFFne0NYrVZuv/12br31Vh588EEmTJjwu1RvmJgciFYZMGhiYvK/R063Drw5YypDRw066L7ZB+iVUlokn/yj0j0hT0pNJN2jKw5QVDp160i+0dwt1Owt5EkJKLLBWlBLoaDciKSkKKxdJjttbtsY3Vm1sFCuo9ZEV8s4A376pKj0MvwsilAZoaQx0p5ITImTvSUCr19gFVK8FBrRj2TFSaKqRaV7rHqn8O9JZFAjJw1RFWzDem8X/EKjRqnAbTwjhiIpFmJxqtmMdv5AN9stANgbIVK8lPIeD/Mm97KVFXW2H4jrrruODh06sG/fPl588cUmHWticjhoskiZOnUqffr0ITY2lq5du/Lggw/i9Xpb49pMTEz+pLQ7QIVPSWFIpNRK98SEPClukpPt2O0aKCqqLYH4xLhwm/y2+3lSvEFjv4QsgjpYNbktd08+AFUV0WmdklKZhrG4IyJFcfuoLJMNr/7eORJBudaZw/QOPXAaU5OLKgR2Xc7m2afKpm3JSgyJmgVXwPCtYCNJdGGXP4v4wAis2Kk2IimJSizFgRzKgtKv4zFuv6khkaJIU6yqRK7BRkSkqNixKkl1Pk+fKMGHvP7PeZEgjetAC2C328NFD4899hhlZc33t5iYtAZNEinXXHMNN954Ixs2bMDtdrN9+3YmTZrE2LFj0XW9ta7RxMTkT8YBIynF5YCsGApR2zirKAqZGfLPqj0RR0wMBUYEpE2GFClxDrAZ3+W6oqM6pEjITFbQVIXc3SGREp3WKTXEiNVTS6TUeCguka+fmK2SZHS/T3cqKIpCRqIUKYUVglSvnLlTpUmzq4ykWKjwJ1NedQyn8g/SlXg2+LriC/aX+xoiJU6xEavYqNSlGPEbd9+0Wume/amd7rEqCeHqntr4RRmq0ebfRSXfBZbU2edAXHTRRfTp04fy8vLwfB8Tkz8KjRYpP/zwA6+//jpCCGw2G4MHD6ZzZ+n2nzNnDm+99VarXaSJicmfi1CvlH278+o8wITSPakZddM9HpeMdKSlSKWg2ZNYua6KQECQnuYgPV2KF0VRwtEUVfOBXb7eNlne0vIaiKSUlcsog113YVFkekitjogUu6bw7Agb/9fPQr8UuX5GolyzqEKnu54VtZ6MpGiAws7y4xnE8aQrUjAVGQ3aQumeWGzEYQ+LFGGcP14xojv1CJDaIkUjLtwcLoRDaYsgQNtA5H2+EZjBXPEpy5iNzsGrKjVN47HHHgPg+eefZ+/evQc5wsTk8NFokfL2228DshPevn37WLJkCVu3bmX+/PlkZmYyffr01rpGExOTPxkZWelYLBp+n5+ivOKobaVF9VT31DLOAiQbwsCRkMa338sJwKec1CFqaGCoNb41xo4SEikpCj6vj6J8ec6qymiRUlklRYrTppNsREzUGg8FBTXhffqmqIzvagmPu89Ikv8tKBf0d6QifPbwvtI4K6uHKo02C2lGRKTYECnVQoqUeMUeFUlR1GgBUTuSsoM17GVzuJ8KgAIkqH2ihEonq6zIaeevAGPWUYpWwTzlQ2byBkojb/Fjx45l7Nix3HPPPSQnJx/8ABOTw0SjRcrixYvp0aMH7733HikpkX84Rx99NC+//DKbN29ulQs0MTH582GxWGiTLVMje3bui9pWEhIpUemeUAmyjGjEx8gvXEtCR5avLEZR4JQTO0StM6iLFAdKdn9wyDRQ22SV/H2F4eGEHpcHvy/i0aiqllGdGAekGK3z1RoPeXnRaaHa1E73dIpXEWUR82qy4iRJMxq86bLXSJoRSYmIFJnuiVXsxCl2PMKOIhxRE5IhEkkpp4j3mMR/eQSUyC1ax4eiKAy0T8VKMmnaMbTRTkPBjg2dGGMacpImU1lO4lBouLFdbRRF4euvv+bee+8lNja2UceYmBwOGi1SioqKOOecc+pthX3aaacd9HgzHWRi8tciNA05d1de+DWvx0u1Ed2ITvcYnhQjkhLjkFEGYZNDTQcPTA9X9oQ4+ygrCTGgO1NRkuR+bVMUcnfnRe1XO5rickvxEhsDHY0yZrW0moLCGhoiI0nu9+uv2yhdsxpRFmmolqzEkKBKkVJpiJQUoyFbmZCTnKuRIiUeO3HYAIWgnopbjW45HoqkbGcVAh0vLgrZE96uG4bYWDWHo51f0c/2FKpiQVXl9cQH5fnjVenfcdaTPjoQocgREBZ5Jia/N40WKVVVVWRkZNS7zWq1HnR0c2gQoYmJyV+DdkZ7/H21RENZSTkAFquF+MT48OsxtYyzAHYtMl4e4LRTOrI/sQ6FC0bLnI1iRBwyEglX9oQI+VJ8viBev/wiTojVuGOAlaTpb2DZW0xJacMViqFISpnbwttPvkaiq1YkBafhSYFqXScgBE6jOkcAXoLhdE+sYiMGeb3bfHY8igW9VqRDIyRSVodf+zG4MPy7LiJdcjXFERYVQpX35UQ9WvQ0VaSEmD17NkOGDOG3335r1vEmJi1Jo0WKruvk5uai63qdn5KSEtq3b48Qos62yspKXn75ZQoLC1vzfZiYmPzByOpgmGdrlSGHu82mJUc9uUdm90hxohlzcQASE2yMGF7/rJnTh1pwiEikJEb1h02zIaoNkVJWJoWI0APEx9tJtCmkl25HAcorGm4Ln26IFC0unQ2rt9BZpCN8DjShkqnGhz0pIKMp9lo9Mr0EwumeOMVOQIQETQxCkZORQ6iKg9XMZx0RYTJX/zX8u6ZEpkULBHOYxgp+JKAac4B0N7UDIE4iIrApfPDBByxfvpw777zTjKiY/O40qQT56aefxmq11vnJyMhg2rRpWCyWOtuSk5O54YYbWuv6TUxM/qCEIim10y/hbrMZ0eZMRzjdI1MVnpoqdL/8/aQT2mO11n+rslkV+jjXAyC8blw1PvJ21x9JKTVEiu6vIcbwwCQb7lmPV+D11l8Jk5agADqKxYYPB6mBGgKLz+D43LNJUBxYFZVYI5JTEQxiUTRUYfRx0f210j02QlqoGmm+ddfqibJeWc7nvBB17kS1ig/FaFzE0dsW6fSdyzbm8wlf8TJeVYoRp6ggoGsMcOfR15OPUzTPW/LQQw9ht9uZO3cu3333XbPWMDFpKZokUoQQzf4xMTH5a9Gug5HuqeVJKTUauSWnRYuU/Y2zVRXV+Mu2YtWCnDE254Dn6ZdRhn/LEoI71lNW7iV3z/6eFGmKLSmVawt/DQ4jvZScHIsIyjRKcYmb+rBoCnZhdKqNy0At3As1SVQWR6psEg3zbIUeoCToJ2CIlFuLtpIflOvGKnaK/PJe6MKJLsCrRkTKdjaGf+/OYADiVBcbyOZdLmKrVoCLShbwKetZFN63RpFmYBWdWD1AnPCRqHtxiuYNde3QoUP4wfLOO+80e2D9Dvh8Ph5//HF69OhBly5dOOaYY5g/f36T13n77bcZPnw4nTp1IiMjg3Hjxv3p5ug1aXbP1VdfzZlnnllnoOCBqK6u5uOPPw4PHTQxMflrEDLOFuUX4/P6sNltlIR6pNQqP4a6npSqimpqdnzLhee1JavtgSMCiSkJBHavxpqYI0WKEUlJSU+mtKgsHEkJpXt0Xw3OGNn1NTk1EX1TNZozhaJiD+2y6vdxWAOVeK1xaPHpVG3eCH2OYFd15OErUdXIRUZShPAihArozHeVk+6oxGaF10qL2BP0gR0EKjUiBrcaqSoqVyqxksCtvIqdGJ7kcjxKNTGKmzhLHjOYxQxeq3NtFUopKcgnzsRgxFtj1yubPfjkrrvu4vXXX2fVqlV8+OGHTJgwoXkLmTQZr9fLqaeeSkFBAbNnz6ZDhw58/PHHnHDCCbz//vuMGzfuoGsIIbj88suZO3cun332GYMGDaKwsJAJEyYwdOhQvv32W0aMGHEY3s2h02iRkpiYyCuvvNKsk5x66ql8/vnnzTrWxMTkz0lyWhLOWCfuGjd5e/Lp2LVDpNts+n6RlP2qe0LRj8Skg/sqEpMTwqmhkhI3hXlFAPTo041FcxbXSvdIAaT7a8LnS0hOQPdVoTlTwg3d6kP1loE1CzUug7wli6HPWeytFviCApumkKBFKnyq9IAhUuCYuDg2KTKi8WuNG03TyTTWrNZjcdfypARR6cZAHEhRFisS8CjV2JQAiVp0r5naVFCMjoqKToqIVClpeslBP7uGSE1N5Y477uCee+7hvvvuY9y4cdhstmavZ9J47rjjDubMmcNvv/1Ghw6y7H7cuHF8/vnnXHbZZQwZMoROnTodcI2pU6fyzjvvMHPmTAYNkrO2MjIy+OSTT+jSpQvnn38+a9asISkpqbXfziHTaJ193XXXHXynhk6iqqYvxcTkL4aiKJGUj+FLqW+4IESMs6FmbiFhEZ9w8AqVtMxUhCFStm8tQAiB3WGjQ5f2xlpGuifsSakOny8pOQERlOKkuvoAM29cUiRo8RlsX7KcZBvowJIimQpJMsyzFcEg+wI+dEOk3JLalsRQ+36hIfTIc2GVHhtVhhxQVI5gWPjPNkOsWJUAXhFduRN1aVQSNEzI6bVMxELPa+iQRnHTTTfRtm1bduzYYTbrPEzs3LmTKVOm0KtXL4YNGxa17eKLL8blcnHXXXcdcA0hBP/+97+xWCycdNJJUdsSExO5/PLL2bt3Ly+99FKLX39r0GiR8uijjx7SiQ71eBMTkz8fWYZ5dq8xw6e0nkZuUHvAYCTdAxCfeHCR0rVnZ1JSpehY/Iucftw2uw0JRhRm/3SPqBVJSUxJRATk6y5XwxU+wSpZnagltCHoDzDYXgHAjN0ySpJQy5Oyz+8LR1Lcwh9uiz8uLhNdRCqBqvUY/IrGOq0NWyxp6IpKGu3C2y3Ia7QqfhxKpPy4PvR6mrYF9H3oouH3dDBiY2N54YUX+Pjjj810z2Hio48+IhAI1JuKGT58OACff/45JSUNR8k2btxIbm4uGRkZ9fY1O+GEEwCYNm1aC11169LMjKWJiYnJwQlFUnLDkZRQdU+0J2X/2T3VTRApiqIw8rgBQGTKcVaHNuFjQ83cSksj6Z6YOEOkJCeEjbMud8Nf6P7i7QBY07vI95UnxdC8XJ1qvyBRDYmUILkBb1iklAoXIefKpLSu3JsaCdO7hXzPBbZY8q0yapJQe+qxsd2qBLAbImWvP5P6CO4nUspVO3Haseg0nMJqDOeddx7nnXdeVLm4SesxY8YMgPBcvNqkpKTQrl07fD4fv/zyS4NrlJbKaGVlZWW92zt2lD2H1q9fj8vlOtRLbnVMkXKYCYXyhg4d+ntfiolJqxMyz4Z6pZQ0kO4JiYZAIIjf5w8Li/hGeFIAjh4zAADVIr/s23ZoGxEp+5cg+2qle1ISIyLF1XC6x50rKyLUuAwUezyWvB10ilfw6vDDviCJ4XRPgNxAJJJSYlQFWVGJVa38PT7S78WiJwBgUwIoCmjCQkxUbxNDpOAPi5Rt/o64gkl1rk+v1T4/gMJaRxvs1kvqnazcXKqqqigrK2ux9f5KVFZWRv14vfU3D1yxYgUA2dnZ9W4PeUhWrlzZ4LnatZPRuOrqajZs2FBne6jaVghxwIjMH4UmVfeYHDrXX389119/PZWVlSQmJv7el2Ni0qpk1SpDDgaDlJfINMn+6Z5QnxQAt8tNZbn0kdTuSnsg0lKN6chWY4ZPdhviE6LTPRWV8oteBNy10j0JCKMipuYA6Z6asmJiK3LRErOwpHehrKiMsR00XloXYPZenf69jSGDepB9fh/UiqQAxBl9UWKJmE/Psw5lu74QqxqakpwcNRBQCLlvlgaqMTHZI2x4hJX96ytrR1KCoZ4tut5ij6Gffvop1157Leeffz4vvvhiyyz6JyBrfR+0mIRmHx90VVIIdTqyP/DAAzz44INRr3k8Hqqr5d/Vhgytoe+M4uKGjdQ5OTkMHDiQFStW8NJLLzFlypSo7fv2RWZp/RnM0GYkxcTEpNXIzjHm9+zOo6K0MtxzIzktKWo/q9WCxSqfmcpKKvB5jcnBjUj3ACQnShGgGmmTdh1rR1KqCAb1cLM2EfTiCBtnExG6PFdVZf1Pt35/AI/bi79oGwCWtK6UFJVxZKa8fa4v08ORlKKAn8KgPxxJKTNESoxRxWNRNM6z9OMYrQsXWQfjDUS+AO1EfyZBQ9DYFBm2t4tYo3S57rOlH63WcQoBoVImDmAEbiLJyckUFRXxyiuvsG3bthZb96/Cnj17qKioCP/UZ36tHdVoqM2Hqsq/Vx7PgdN4b7zxBgkJCbzyyis8+eSTuN1u3G43M2bM4Pbbbw+fIy0trblv6bBhihQTE5NWI+RJqSirZPeOvYBMsVgsdb9oQymYIqOEWFEUYuMa15MpKUmKFEXVOPm8UznmlJFR6Z7aplgR9IUjKY4YB5rRDK2yqv4bf02VLOsNFMsvZ2t6F8qKy+iSoGBVocoPAZ8UCes8UpQohmgoM9r7O5XIE+u/7MfyuGMsNsVCMBiJKGkiWpD5jYoeVZUiJR65r0fUffr11wqKC5HBHNeRFIv6m9M1hzFjxnDSSScRCAS47777WmzdvwoJCQlRP3a7vc4+taMaDTVA9fmkoE5JSal3e4hBgwaxdOlSLrzwQqZOncrQoUO5+OKLqaqqIj5eRhiHDRtWr7H2j4YpUkxMTFqNmLgYklKTAFi7TLav39+PEiIkHArzZCg7LiE2/OR4MOx2jRin/KK+/r6bcMY4ooyzIZEidD8IPdzhVlEUYmLkjbqmgRLkkEhRq3YDMpJSWlSGVVXoZsz1WVUo/1tuVNPEGKIhJFJiqL+EWNUjn0VQRAsyr4j+AoknGSsqgXoiKb5aIkVTYgliobBWOXJL8PjjjwPw4Ycfhr0TJi1HSkpKWKjU1NQ/lbu8vBygURGQbt268d5777Fz507Wrl3LJ598wgknnMDChXI21Pnnn98yF97KmCLFxMSkVQlFU1YvWQvU7TYbItR1NtSMrbF+lBDJyfLptKzcG3W8x+WhosJoiW+YZENRG4DYWPnF0JBxttoQKQ6v7GSrJWdTWiYjJj2T5C30u53R1S96QIqSULrHqdQvUmx65LPwiuina8/+IkVJJg47op5yY18tEWQx+qu0tEgZOHAgF1xwAcBBe3WYNB1N0+jVqxcAubm59e5TUFAAwIABA5p1jueee45AIEBmZiaXXnpps9Y43JgixcTEpFUJDRpcs1SW7SY3FEkxohsRkdK0ypSkRCk2yg2REhsfiUwUF8uUiQjK9vy1003xCcawP0/9s26qK6VIibX4SIoVKIqK25qBz+ujZ5IxL9THoAAASzpJREFUIdlnRw1E1nR55e/lQoqjmFqG2a0VOutKdeP1yBNxzX4N21wiWozEkUy84qBKr5sC89Q61mFU9BTqLStSACZNmoTFYuG7777jp59+avH1/+qcfPLJAKxbt67OtuLiYioqKoiNjWXUqFFNXnvnzp1MnjwZgOeffx6n03mQI/4YmCLFxMSkVQlV+OTvkw3RUhsQKaEKn4Lc5omU/SMpFosl7GkpKZZf2NKP4og6LqudjGZ4vPUP0gule+IS4ujaVkY3LGmdKCsu54hkeQtVhUrqrkgPFNUvRYkwqnJCxtl8l+CyuT6umu+j2C2i+qKsDlZyrfsT1gVlxKZ6P5GSQhsSFDtlehI9gucynLHhbd5akRSnIs24RS0cSQHo0qULEydORFGUcNrApOX4xz/+gaqq9Q4TXLRIDpU899xz6/W0HAifz8dFF12Ex+Phhhtu+NOkesAUKSYmJq1MKJISYv/y4xD7G2cb0xK/NklGhU8okgIRoVNupGdE0FtHpAwYegQAQV0lGKxrWAyJlNj4GDINUaLFplJayzwLYHPHkLatK70CKViqo1NVoUjKlHV+PEHw6fBroU4aGeF9CnWdlXouL3vll1GViBZNHelFnCLfY5zen24MCm/zEPnSilMSUQC7YsF7CB1nG+K+++5j+fLl3HvvvS2+9l+dbt26cfXVV7NmzZo6vVDeeecdnE4nDzzwQPi1OXPmMHz4cF544YUG13S73Zx//vn88ssvXHvttTz//POtdfmtgilSTExMWpXsju2i/pyScTBPijTOJjSykVuI/SMpEPGllJdLA2vtyp4QQ0b0Df9eUVG3A2eVke6Ji48lJU5GN9SYZEqKSqV5NiES8bC7Y+lS3AHNH/2k61SsbK3QmbUnIjx+KwySoaZT5MmgPBiP16jaWabvoVCvokpEt8JPJYt4Q4xU4cFO5H3UrvhxKPHMj7mer2P+gV1p+VZYGRkZzfZEmBycp59+msGDBzNx4kRKS0sRQvDiiy/y9ddf8+6770Z1o508eTKLFy/mnnvuqbNOVVUVb7/9NgMHDmTOnDm89dZbTJ06tdFm9D8Kf66rNTEx+dORtV8kpaF0T0g8FBfIfhFxTTTORiIpkS/3OCOSUlkZESmO/SIpXY/oiNBlxGH1si111q2d7kkOi5QUSovKAbi6p4XjslSGpcvb6bZKETVIEGR1z9oyKVDijczM4kKdVNXK53su5FfPAAgZYhX4PrCZKiJiK5ZEFBTijUhKlfBhFRGR4qoVSbEQi0U5PKWl27ZtM70pLUxsbCxz5szhyCOPZMiQIXTr1o0ff/yRJUuWcN5550Xte8EFFxAfH1/HBNurVy+ys7OZOnUqF110EVu3buWyyy47jO+i5TA7zpqYmLQqbbMzURQl3PvhYOmeYFAaWA/Vk1J7japQt9mgF2dsdCRFURQsmiAoYNXSjRx74oCo7bXTPWGR4kyirHgz+fsKGJKSxMi2dp5e5WdxEVT4QAlG31rLyywYjWUZnqGyIF+nxAtVbgu6sMB+FTszAuvD3WoButAfgARFfkZVwsNilxejkAe3sIeX0JTG9ZY5VObOncuJJ55Ieno6W7dubbABmUnTiY+P57nnnuO555474H4TJkyod/jj+vXrW+nKDj9mJMXExKRVsdqsZGalh/+8/3DBEPuLh6Z6UkJdZ6NEirFGTU1IpNQ1zgI4nUYztpV1u6mGq3viY2tFUpKZ9+3PjB0wjsdukxUTSfZaQmM/kbJtl0qlX4q0VIfCwFR5691TpqLUEijCLa93p5AzcrZ5B9CNQZzM5QBhT0qV8PJztcbSkhGsdR+Bt1b1kFanaX7rcNRRR5GdnU1eXt4BPREmJoeCKVJMTExanSxj0CBA8kEiKSGaG0kpr8eTEprLI4K+sPelNokJ8txbNu2p0+0z1CfFYo8jyfj+V2NSWPHranQUFsxeiBCClNo2FD063bJll0alT66bYIUMpxQmvoDGqJgEKqszELpKYPkpqMFIpU6S3psLuTs8eDDkSakUHr6rLmNpydHs9LeLaotvOUyRFLvdzqRJkwDZ6C00fdfEpCUxRYqJiUmrE2roFhPrrDeSAfVEUprsSTG6dboC+HzRKSOPJzK3Z3/jLEBKqsyb1NT42blld9S2mioXlrh2TP8xlldfWwmAYrFhyehB+lWf4+85gaK8YopLalXj7BdJ8dZY2VtuDAl0C2KNza6A4OLETEorcti7ZxiiOhmHO1KW3ElNjVonwYikFAsPBUE/INDUQHTH2cMUSQG48MIL6devHxUVFTz22GOH7bwmfx1MkWJiYtLqtDMGDTaU6gHqiIemRlLi4qxYLDJCEek6a4gUI4rRULon1HVW0Wy8N3Va1LaaqhosCXKK7YIF+/6/vTsPb6pK/wD+vdnTNF3ShaULlLKJCGUtMALigBUXQNlERBAGBkXBURGBn1OQUUBFUATchlVU4NGiiKCIVUZkE0VZRJC1bKV72ma9yfn9cZObpElX2izl/TxPH9u7npRr8vY97zkHck7IyqjaDQQnU0Ld8V6s/7oAn+x2zVhbsXCW2eU4dlkIYg6esMExgz+MPJARHgUt5LDJGMzhpVCUuwKTVhLP35fGEaSU2IVJ4mQyEziOgXcLUmScporfUv2SSCRicLJ8+XLk5OT47d7k5kBBCiGkwSW1FIYhVx2k3Fh3D8dxXiN8nNewWJ1Bivc8KQDEdX84qRJZG7Zhf/YhcV9ZaRngNmeJ3bHIm6J5R+EciRS7ziVB4j4lic2zu4fZZTA7epHyC+xwlMCgnAfknASJVmECNkuYAZJS1yy0FTMpzjWAyiEERBEaYeK3ZixRPGZzSf1P4laVwYMHo1+/fjCbzZg3b55f700aPwpSCCEN7o7Bt2PYI/fhnzMnVnrMjWZSAFddSmGRkGnQRghdRjwvZFiYzQKVj5qUsDAhSOnUMw0AMP/pRTCWC8OWy0oNgMSVqeBNjhltY1t5XINzC1JkPjIpzjIVqxmwOMpmjLwQuciNQheNRW0AK3Xv7vEM6jiLEKQY7VZwnA3hYcKcMm3t7cRjlhTko8RW/5O4VYbjOCxevBharRapqal+uy+5OdAQZEJIgwsLD0Pmmy9UeYxz7R4nZ4BRGzE6FU6jBPkFjiDFEejwTApwlXf3uIKULjh/MBbXLuXi55+OoO+g3igvLQenEoIDuVwCm9XiMWCY8VZwMjk4GwA7AyQc1JDB5HaMQqGAwRGkcDZAXyYEJ456XnDlaiACsKqNsF5rgQHS1tBxYeK8KE57j3BAJ8DG8ZDLTJBI7LDZZAjjE8R38zK7Bld4CyKl/nt779WrFy5duoSIiAi/3ZPcHCiTQggJCu6jbiQSiccCgTUVH+eYtTZPyII4gxTGhA/sygpnNWFCEGKxArd1vxUAkHP2EgBhCDLnyKQ8MCQFKqnnQoS2P3+B4cDHGNjRJmZT1BUKZ2OVFjiaAM4GFJcIQYozk8KXqwAG2GU8yjkbXlHdg+eUd3i18xwnpGA4CYNcJrxG3qZEqV2KAutq/OvqPFghxxWrxevchkYBCmkIFKQQQoKCe/CgjQwHx3FVHO2bM0jJcwQp8c3ihInkOGeQ4nsIstpRk1JusCIpRaifuXT+MixmCyxmCziJEMRowxXo1N4tw2OzAsYycOVmSI3XIXHEL3K3mhTGOJw99hvgeD0SG5BX5MqkMMZQapZAbhLaVar0npofAK5aLdgQ7Rp5pJALx1l5FfR2HqctkcizCfUs58pKxUnx/O3bb7/FE0884TWUm5C6oCCFEBIU3Kerr0s9CuCdSYmJ16H33/uAkwhBA7NXMrrH0d1jNPJikJJz7jLKyxwBgyNIUSqlSO/imuelRbwUAIM8IgkFl69D4hjgI+M5gHcEKrwcfKwwuknKAbAD1/KFAMJoE4pnbQyQG4W2m1QG8HbvD/jvDMXgOcBuF962nUEKzytRYrPhrNXVwbTozXXo0eQOvwcKeXl5uP/++7Fq1Sp89dVXfr03aZwoSCGEBIWKmZS6iKsQpADAfWOGuA6wWbzmYwFcNSnlBh6JjpFIl85dFmeblSmE2hCVSoom0a4sSZskBSIUJQCAA4cM4BzdN7AwwOo4ziYHmghDmLVyQMIB5cJlYeAZih3Do5UmoXvLqjLC5CMJUugohmWOClyFzBGk2FQotfM4Z3EFKbb4KKjCVHXKRt2IuLg4TJ8+HQDwwgsvBCybQxoPClIIIUHBvRumLkWzANDEEaTk55tgd2Qjbu0mrHLMbEI9R1WFswYDj6RWwnDeSxeu4K8TwjT5SrUQQCiVUui0rg/+xBgObZtchin3V8BigKKYQWJmsFy3g+MdRSi8HJxKaFeEgkOYEuAcI5oNPFDiGOkTbxfaZVWbYLB6Z0AKbY40jWOEj1Qm/Gzllfi6vBh/WFyBmb1XL9ieWACLzf9dLi+88AKioqJw7NgxbNy40e/3J40LBSmEkKDgPronvI6ZlJgYFTgOsPJ2cXp8k1mICJhNKCatqnDWYODRpHkc5Ao5eCuP77bvEc4JF4ImlVIqrt8DAImxEmjDZTCc34XocB6K6wZE/2GHpRBidw9zm+ZeKwc0Sk4MUow8UOTIpDRBmFg8e8mt8PWHKzYM+9qM886hQLxnUS7Pe44AAgBbuBT2lu0hD8A7fHR0NF54QRjJ9e9//xtms7maMwipHAUphJCgIJVKoVAKM7/WtbtHJpMgRicEO9fzhcyCwfnhbreC4zhEx0R5nacOcxXOSqVScRr/bEeQolAJmRSVSooojWeQolIJQUJMuBHM7MpmcFbhmhKL63g1eMgldjFIYQByDY6FBxVSKC3CtY6ZXcWzz+634lI5w68ljsCFdwU9sEtgswu/s9YKFb5tIUwwZ1NaYJHn+r27x2n69OlISEjAhQsXsGrVqoC0IZRZLBYsWrQI7dq1Q2pqKvr37489e/bU+jpr1qxBz5490axZMzRr1gzp6elYv359A7S44VCQQggJGs6umLoGKYBbXcp1zyClRUoTvPJeJuLdVmR2ci+cZYyJXT7OwlmpXAgElEopZFIO93SXoWcbKZLjOKjUQmARpS4FyvWuizoyKSqb62322vlCXLpYDNghzrVyzRGkRCqAcIsQDM0qPo3/u34eRWZXd43VOXTI6gpSFHwYnFe6J1yH9oowNDMJ97vesRh/uXUB+ZNarRZnn/3Pf/4DvV5f9QlEZDabcffdd2PDhg3YtWsXzpw5gyeffBIDBw7Eli1banyd6dOn46mnnsLcuXNx9epVXL16Fc8++ywmTZqE5557rgFfQf2iIIUQEjRcQUrdalIAV11KniOTUm4QajfimkTi7gcH+jzHWZPC8wxWqx2JLV2rNsvkMtiZEHAolcJ/ZwxRYsE4FaQSDkpHJkUt1UOafwG2M0fxt7Z2yMuLAQDhbusOXr9iArPx4ADIIAQgV43Cf6MUHCJ4V1fUf4tz8eLq78Sfzc5593mFuC2CueaS+bsmClKOQ8ZZDTT5sdCds6O1wrtry18mTJiA++67DytXrkR4eN2DzpvNrFmzkJ2djTVr1iA5ORkAMHLkSIwYMQITJkzAuXPnqr3G4cOHsXz5csydOxdDhw4Vt48aNQqPPvoolixZghMnTjTYa6hPFKQQQoKGWiN86EbcQJDizKTkOjIpRqPw4e6sO/F5X5WrzuNargFhuiTx57a3tobZLGQxVEqp17lKRybFajKhc0cdWNF1/Lz1f7Drhe6ZaM51Dme2ArzQHmdrrpS7MilNLFrArdb1h1LX6BgThPM4qytIaS4Nh6JMg3CjBt1UQiBQapEh6loCUn4tr/T1+oNMJsO2bdswatQoSCT0UVMT58+fx4oVK9ChQwf07NnTY9+4ceNgMBgwe/bsaq/z3XdCcJuWlua1r2vXrgCAY8eO3XiD/YCeHEJI0KiP7p54r0wK77h25dPESyQc1I5V//41ay+2ZsshVQtr6NzapT1MjiBF6SNIUamFNptMZox8MBVRUQqUG3jYrcJrsBW4pVJ4G+AYSix1BCPO7p4oBYc4pkbTPztAfqFYODdBaAMDg805061bJqWFQoO4860ReaY1HLEYShzrBmn4wHT1VIbn/beeUKjatGkTeJ5Hnz59vPalp6cDALKyslBQUFDldTQaYSXs/fv3e+0rLS0Fx3Ho3LlzPbS44VGQQggJGrd16wCZXIb2ndrW+RrxldSkaKoIUgAgzJFpKS62gAGQaoTi2Vs6t4fVKgQavjIpzsJZs8mM7l3jseXDDPwnsyfgGFV08YSrCJZpVGKQInFMtHbdMb1JpIKDWspBysshy3PMgRIp3M8utYlFLJzVNZqnmVQDnePHy46MjJ4JryPcHhyjahhjWLFiBVq2bIm//vor0M0Jatu3bwcAtGrVymufTqdDQkICLBYL9u7dW+V17r33XkilUrz66qteGZOsrCz84x//QLt27So5O7hQkEIICRqzFv8L2ae2I7V9Sp2vERfrmUlxBilh6qqDlIpBjDxMyGK07eR6M/eVSXF295iMQrQhkXBI6xgJ84+/Cj+fU0JSVAoAkF3IA3MEKVyFec4iFYCz10laJAQYfIQExohiXLvluHAtMwdmc2VSYjgNmocJ0YszSCl1LEoYAf+v3+MLx3HYvn07Ll++jP/7v/8LdHMCQq/Xe3xVNiz711+FZyYxMdHn/qioKADAkSNHqrxfixYt8NJLL8FkMiEjIwO//fYbAOC1115Djx49QmrEFa2CTAgJGhzHITxCc0PXiI8XgpTCIjOsVrtYOBtWXSalQhBza3o6ek24Bc1bJAP4AwCgUPjq7nFkUoyuD57iohLw7x6F5PPLkLX4B8J/PwSj/QpkfDzgmCKfqzD1faSCg8pxeVmxEMjYwuwobHpBPEZqkYIx17DiGC4MCRoOx4qYGKQYpMLrj5Raq3y9/rRw4ULs3LkTmzZtwsyZM9GtW7dAN6lGdEdtkCnrPmsu7+gmTEpK8tiemZkpjn5yMplMKCsrA+AKRiqKjIwEAOTn51d77zlz5sBkMmHBggXo168fJk2ahM6dO2PmzJm1fBWBRUEKIaRRiYpUQC6XwGq1I7/AKBbOVhektEqJwJ+ni3FPRgts33kBdmkEHpsxBNdyha4XpVIKicR73hGl2N3jylwUFwhT5WuZFAwAZ+EhKywCp4sXu3sYD8BtHrZIJaCSCteXlQpdRbzas45DYpOIKzoDQCynQYLGlUkptzLwUqG7J1oWPAv8de7cGQ8//DA2btyI2bNn45tvvgl0k/wqJyfHY5VopdJ7Aj73OpOwMN8rgDsLkE0mk8/9Fc2fPx9lZWXIycnB0qVL0aJFC3Tp0gWdOnWqTfMDirp7CCGNCsdxHgsNit09VYzuAYCnnrgNH64eiJEPpgIArlwpB2NMLJr1VY8CuDIpzu4eACgpFOYFidZpIZMJQQQndxQDO4OUCn+gR7llUqTCH9Swyz0PsmitgM0VpOgcmRRACFIKHPOqMJMBWpXv9gbKggULIJfLsWvXLuzevTvQzfGriIgIjy9fQYpC4erGq2xhSItFCIR1Ol219zSZTHjssccwY8YMbN68GU8//TQuXLiAvn37Yt++fXV8Jf5HQQohpNFx1qVczzOKo3uqy6Qo5FI0bRKGZk3DIJFwMJltyC8wwWyqfGQP4Da6p0J3DwBExURC7ehGksiFbizmnklxiFUC4XJXkCKBApKCUq97SXgpIHEFLuE2tStIMTAUOuMkfZHP6f8DKSUlBY8//jgAYX0ff6/QHOx0Op0YqJSX+x4+XlxcDACIjY2t8lqMMYwaNQpNmzZFixYtwHEcli5dimeffRZ6vR5Dhw5FSUlJvba/oVCQQghpdJx1KXl5phqP7nGSySRo1lRIt1++Uu6aI6WSzITSbXSPk7O7JzI6UpyDxRmkgBdqRWxuQYr+mh1WnkHtyLoo2w9ApCnG8z5l4Yg5lwxYXMGH1SpBokZ4G79YxvD0PkeXk74IKh8LKQba3LlzER4ejp9//tnn8NibmVQqRYcOHQAAV65c8XlMbm4uAN/zn7jbtGkTtm3bhnvvvddj+2uvvYb7778feXl5WLFixY032g8oSCGENDrxsc4J3QwwOGpS1NWM7nGX0FwIKC5dLqtyjhTAfXSPK0gpcWZSdBFiBodz1IrIHMN67G5BiqwcKDUyMZPCqbWQFUWJ+1WFYYg9nwq5NRyssDnY8e5QbxkEs5UhXg20jhCCmzJnray+SOyGCibx8fF477338Msvv6B3796Bbk7QycjIAAAcP37ca19+fj5KSkqg0WjQt2/fKq/z2WefARB+3+44jsOCBQsAAAcPHqyPJjc4ClIIIY1OSkthxtoffryC0lIhu1DTTArgClKETIoQTVTe3SMEAxazBXa7UPBa7KhJidJFegVH2jDhbZdzG6UjL2coM0EMUpiEg6rYVTwpNzjqaTgOAAfuRBfIzybDZAUkHIcP71RA6lbTy/TFQdfd4zRmzBh06dIl0M0ISpMmTYJEIvG5mKCzjmT48OE+a1rcOWtXLl265LWvTZs2ADxrYIIZBSmEkEan79+aoUWyFqWlVlgsQuBQXeGsu8QEocj10uXy6gtnVa4PDOcw5OLCYgBApC7Sa2hzRLgczG6D3a05UiNQZmRQObp7IAFUJa4gQ2r1vLfEMXzZbBX+K5Nw6Brr9nYepJmUis6ePVtp/cXNqE2bNpgyZQqOHj3qNRfKunXroFarkZmZKW7Lzs5Geno63nrrLY9jhw0bBgD4+OOPve7h7GYbPnx4/Ta+gVCQQghpdKRSCf45qYPHttpkUhITXN095hp29wDC1PiAa3RPlK8gRSsHbDzkZUKAwVkYOABlJuaWSQGkdtf9pGbPezv/BnYb9SwW0AKAQtcW+680Ceri1EWLFqF9+/Z48803A92UoPL666+jW7dumDp1KgoLC8EYw/Lly7Ft2zasX7/eYzbaJUuW4ODBg5g7d67HNR599FE88MADWLt2LZYtWwarVegH/OWXXzBlyhSMHTsWo0aN8uvrqisKUgghjVLP7vHo3jUOACCVcpDLa/525+zuuXrVVdNSWSZFKpVCrhDSIs7i2eJCZ01KpNeaQeEamRCk6AHtGRuiTgmZnjIjoHEcyiRCl4/uYguEFUQg9g/P0RwKeGZSAM8gRZXQA9+c0oHjvOd1CRbJycmwWq1YvHhxtWvR3Ew0Gg2ys7PRq1cvdO/eHW3atMHu3btx6NAhjBgxwuPYMWPGQKvVYvz48R7bJRIJtmzZgjfeeAPr1q1DfHw8kpOTMXXqVMyaNQsbNmwI6mfDHQUpdWCz2fDCCy+gSZMmiI+PxxNPPFHjyXUIIf7BcRz+OelWKBQStEjW1upNOT4uDHKZBFbejkuXhe6IyjIpgGuEj8ngGaRERkdAXWFUkFrNATwPDoCiFJA4CmhLTQxyu/AXL5MCdt4ItT4KTf5oCZmlYiZFCE4qy6RIrIAyiCZz8+Whhx5CWloa9Ho9XnnllUA3J6hotVosW7YMZ8+exV9//YWtW7f6nIBt7Nix0Ov1ePvtt732SaVSTJ8+Hb/++iuKiopw8eJFHDx4EJMnTw6ZAAWgIKVOFi9ejFatWmHHjh2YMmUKVq1ahZdffjnQzSKEVNAqJQKr3xmA1xd6rypbFamUQ0yMMIT30mVhZrWqghRxanyxu8c5T0qUV3ePSuGaK8VdmZGBGYWAiEkBZhHWHuLszH1qFACAnDkzKa5tCWFuQQoPqIO8LlIikWDhwoUAgLfffhsXL14McItIMKIgpZYYYxg4cCCmTJmCrl274j//+Q9uv/12cWEoQkhwadZUg8iI2n9ixzqClMuOTEpl3T2AK0gp1Zfhm627YSgXAowoXYRHdw+z2yCV2MW5UtyVGRns5UJAxCSAXeLIhNgA2AG41Zc4gxSjheGph2bi2UfnoLnbTOpCkBL8fy1nZGTgjjvugMVi8SgIJcSJgpRa4jgOPXv29NgWHx+PIUOGBKhFhJCG4AxS8guErlyVqvLCW2d3z/IF72LWJOHDVq1RIzwi3COTwuxWYWRP7kVEy8oRH8kh1jHHSakJ4Mscs8xyHCQqx9tzWSk4eK6aLHMMdS4qMuDHXfvw3fY94AyleK49D+7Lz8DZAZUy+N/eOY7DokWLAADr16/3OT8IubkF/1Mc5C5evIi4uDhMnjw50E0hhNQjZ3ePU01qUv48egoA0OP2rliy7mVIJBLPeVLsVqGrx1CKWxUXseHZMDzcXyi6LTMymEv0gHN1ZLVjjHKpMFKIs7suI3cEKUaza2OZvgx3xVkhdXzQhymDP5MCAOnp6XjwwQcRFhZGQQrxQqsg11FJSQk++ugjLFiwAGq1Gnv37sXtt98e6GYRQupJbKxnkFJld49jCnrnSsjDJwxF7wFCxtU9SGE2K+w24RirVQgwNCrHbLFGhmuXroELZ2ASDnZHkMJZeEBWMZMi/GBwC1JKCvVQKJXg5EJbQqG7x2nZsmVQKpVeM6QSQkGKw6xZs7B3794qj5k4cSImTpwIQBgmdvfdd6O8vBwvvfQS7r//fpw/fx6RkZH+aC4hpIHFxnjO2KqsYlVhlcqz5iU6Jkr8vmJ3j81Rj+IMUrSO25SZGC5cvQzuVg4MgM3RvSQ1Xge0yR5BitzmzKS4NhYXlUAXHw1OLlwwBOZyEyUlJQW6CSRIUZDisHjx4lodL5PJkJKSgueeew6pqal48MEH8f3332Po0KEN1EJCiD/F1qG7x0kXFy1+7xGk2CyOIEUizoQbrnZkUkzAhQv54G4RjuXlQiYl3HIePLp7BClSXhgdZDS7imn1RXrYeJsYpKhCKJPibvfu3ZDL5ejXr1+gm0KCANWk1INhw4YhKiqq2vUUCCGho2KQUpPuHif3TIq6YibFIgxTtlqFqCPcrbvn0pVSj2AEAFSckHnh7K6ARGIVghSTxbWtuNAZpAhtUdV8FYCg8f7772PgwIF44oknYLPZqj+BNHoUpNQDm80GhUKBHj16BLophJB6ciOZlEhdhPh9mPuMszYLrFbPmhStI5NitADXCy1eQUqYY4O4nbeD8d5Bir5YD94tSAmlmhSnESNGIDo6GsePH8eHH34Y6OaQIBCyQcr27dvRp08frF27tsrjLBYLFi1ahHbt2iE1NRX9+/f3ucJkTZWXl+PVV1/FsWPHxG2ZmZmYP38+YmJi6nxdQkhwUSikiHCbX6WqTIp7kBKli4RM5gpMKmZSLI7ZqV2Fs67rsPBmHhkTAAiXCQGJM0jheDt4i5BdMfOARNsEkvA4IZNic3X3BPtkbr5ER0dj9uzZAIAXX3yRZvImoRekbN68Genp6bjvvvvEpasrYzabcffdd2PDhg3YtWsXzpw5gyeffBIDBw7Eli1b6nT/0tJSfPTRR+jevTsGDBiAyZMno1evXpg6dWqdrkcICV4xOlfwUVUmRe1Wpere1SPsc53H7FbwZmGiN4sjSJFKOIQ5Tlc0v80rkxIh58B4izgEmbPaYHMEKQaLFLGPrkfs+A9RXFSGr3Zdh0ybAABQhcgQ5IqefPJJJCYmIicnB6tXrw50c0iAhVzhbPfu3bFnzx7cdtttOH36dJXHzpo1C9nZ2Thw4ACSk5MBACNHjkRWVhYmTJiA7t27IyUlpVb3b9q0qdcS2oSQxik2Ro1z54UJ1qrs7nELUqJiozz2KeRSyGQceJ6B2awwmz0zKYDQ5WMwM8gTOsO9FEPKAf16tcUv+83gbMI9OKsNVosVkAHFJle65FjEaPx8RgapVvjbMxRrUgBArVZj/vz5mDRpEpYuXRro5pAAC7kgxblMdZcuXaoMUs6fP48VK1agQ4cOXjPEjhs3Dh9//DFmz56NTz75pEHb62Q2m2E2m8Wf9Xphgiar1Souo01IIDmfQ3oeXXTRriBAJmOV/m5kcldEEK2L9DpOrZahtNQKZrfCbDAAACwWm3icxhHjSMNjPSZta6IG7uz3NyzdmweJY8VjicECq9kChAFmu+u+FnVzSNQQ1/9RSO0h+285ZswYvPbaazh58mSgm0ICLOSCFCeVSlXl/k2bNoHnefTp472wWHp6OgAgKysLBQUFfqklWbhwIebPn++1PTs7G2FhYT7OICQwdu3aFegmBI2iQgAQuk1++H43FJXUeZw9d0b8Xl9egq+++srzAOa4js2Ca1eLAW1XGIxm8ThLSQcAzQF4TtqmMBTgm10/Q63qBnMJEH7BDsnRHJRYyoBo+KYQIp6jvx2C/nxBbV5uUBk2bBj++9//Ii8vL9BNIQEUskFKdUtNb9++HYAr8+JOp9MhISEBly9fxt69e/2y7s7s2bPxzDPPiD/r9XokJSVhwIABVHBLgoLVasWuXbswaNAgyOUh2ldQ36QXcfAXYar2+++/G1Kp7zI+SxHDjo92AwA6d+mEe+65x2P/Fzv/h9KyMjC7FWq5AuUAGJPinnsyAABvbdwHWXtHkGLlAQjRUMekWNyTdg++vGjFxTwGZREDX2aE2e4MnbxxUuFtve/feqBjcsiVHYoGDx6Mxx9/HC1atAh0U/zOYrHgjTfewJo1a8DzPBITE7FgwYIazx1jsViQkJCA/Pz8Ko+7fv064uLi6qPJDSZkg5TqOFclTkxM9Lk/KioKly9fxpEjR/wSpCiVSp/zqMjlcvpAIEGFnkmXJvHhAAC5TAKVqvJ5kDQaVzY0tkms1+8vLEz4mdmsMBt5QCXUpMhkMuEPrrJi8VjO7go/ErVSyOUyqOQ8HOkYMKsZNhtf7Zt3uFoGubzyOppQoNFoAt0EvzObzRg8eDByc3Oxa9cuJCcnY8uWLRg4cCA2btyIkSNHVnuNrKysagOU9PT0oA9QgBAc3VMTJpMJZWXCkudRUVE+j3FOX1/dPyQh5OYVF+eYGE1d9Ye9yn10T4XCWQDo26cZoiNl4EsvwVBWLm7neQbGhODDdu4EAIBdzRH3J4QJAYvCLeaxG4sA3gq51HOockWhOE8KcQ34WLNmjceAjxEjRmDChAk4d+5ctdf44IMPMGPGDPz222+4du0a8vLyxK8rV65Aq9XWKNgJBo0yk1JQ4OqHrazeQyIR4jMah08IqUyrlhF4YEgKkpPCqzxOWcUQZAAYNbw1enZS4IFeehjLOThLW6xWO8yOCdlYwVXwRdcBnQaA0E3dTCMEGswtHrEbCiANT4ASVlhR+WQooThPys2uPgZ8nDt3Dnfeeac430xFO3bsQGlpKQUpgaRwq25jzPdfGxaLMOujTqfzS5sIIaGH4zg8OfW2ao9zn8zNfd0ed2Hhwh9MxrIyMbSwWG0oK3MbgWO3geNdlbPOTIrVrZjWZsiHPDwB+gI9JFGxlbYpVNfuuZnVx4CP5s2bY9asWZXeY8uWLUhPTxezNMGuUXb36HQ6MVApLy/3eUxxcTEAIDa28v/JCSGkJtRq12hDX5kUAAjTCDPB2mw2yGSO4MNqR3Gx2eM4zmQRv3fOzO9YqgcAYDeXCN9YXFlgZij1ut//zfsJRiPvtZ0Er5oM+LBYLNi7d2+l11AqlWJPQUVWqxWff/45Ro0aVT8N9oNGGaRIpVJ06NABAHDlyhWfx+Tm5gIA0tLS/NUsQkgj5d7d475ujzu12/z3Mpnw1mu12lFcIgQlfOllAIDEZIVm20F8dKcCEscoRivvygg7gxTmmLkWAGwXT8GW45o3ipmNOHOmBCpVaBfONhZ6vd7jy33OLHc1GfABoM4Tiu7evRtFRUUYMWJEnc4PhEbZ3QMAGRkZOHLkCI4fP+61Lz8/HyUlJdBoNOjbt69f27VixQqsWLGCVvgkpBGJbxYLhVKBxJbNPdbtcSeVSqEKU8FkMEHmiB0sVjuKHJkUO2+ArfgPSKNugSy3GG2jXH9DenT3mIocJ7vV0/EWgHd1GzGzAcmJ2mqnaiBV43/5AZDXfR4r3ipM3JeUlOSxPTMzE/PmzfPY5o8BH6HW1QM04iBl0qRJeO2113wuJuhc82f48OE+hwU3pGnTpmHatGnQ6/XiA0cICW0RURH4bN+HYt1JZcI0apgMJkilQvBgsdjE7h671YAIdgIZ9w1G7/SmHue5d/fYyq9BUvILykuU0KY66mWsFsDmVttiMiKpbdXFvsR/cnJyEBHhyrD5+txp6AEfPM9j69atmDt3bq3PDaSQ7e7hHUuVV5aRaNOmDaZMmYKjR496pcbWrVsHtVqNzMzMhm4mIeQmkdCieaX1KE4aRxDjzKS4d/cwqwGRkWpMf6ITenSL9zjPwnsOACg89R1MF350bbDxYLwrkmEmQ7Ujkoj/REREeHz5ClIaesCHs6snVEb1OIVkkGI0GvH7778DAPbv31/pca+//jq6deuGqVOnorCwEIwxLF++HNu2bcP69et9FicRQkhDUTuKZyWc8CFUUGBCfoFQW2K3liMiync9y8A0IekdLxf+2rbb7WDGEhR9+i8Uf/Fv4SDePZNiQHIiBSmhpKEHfDi7eip2PQW7kAtSHnroIcTGxuLo0aMAhElrYmJi8M4773gdq9FokJ2djV69eqF79+5o06YNdu/ejUOHDoVU4RAhpHFwZlKcQcr8V37Gjz9dAyBkUiKitD7PmzhIgbmjlMho9rvHduu1E+CvOxbhs1WoSUnyfS0SnBpywIezqyeURvU4hVxNSm1XLdZqtVi2bBmWLVvWMA0ihJAacmZSOPeljh3svAER0b4zKUo5h34dZfjyuPdbtt1RnAmrFcxiAjgJYDahWVNauDTUNNSAj++++w6FhYUh+cd5yGVSCCEkVDkzKRy8gxRmNSAisursh0rtY/V3uxWMNwBgsB3bj9Kdr6F78p/iMGcSOiZNmgSJRFLvAz62bNmCXr16hVxXD0BBCiGE+I1zQjeLxUcmxWpAZCWZFCdVmO8PJ85W5riIDbaSSwhX0xQHoai2Az6ys7ORnp6Ot956q9JrOrt6Qq1g1omCFEII8RO1Y7XkAr2r26Z1aiTUUj1YFd09TnFNfBdMyuCa2I3ZrZBKaRK3UFWbAR9LlizBwYMHqxxWnJ2djYKCgpDs6gEoSCGEEL/RhKs9fpZKObzzVj/EWIXhxNV19yS2TPC5XSlzTaXP7FZIK5lQjgS/2gz4GDNmDLRaLcaPH1/p9UK5qwcIwcLZUEczzhJy83JmUlrHXcZVQwssfKkXOI7DpfPClPjNk5tWdTo02jDENolBfm6B53Ylj3LHNCnMZoFURpmUUFbTAR9jx47F2LFjqzzmvffeq8eW+R9lUvxs2rRpOHHiBA4dOhTophBC/MxZOBspvYLPNw/GrbfoUFpSisI8Yar75FbV/7WblOKdTYlwnxLFboWMghTSSFCQQgghfuIsnC0vM4jr6lw8cwkAENskBhpt9cOGmyc389oWFeEKSpidp5oU0mhQdw8hhPiJc20fY7mr0PXCmRwAQIvWNasZiI6NEr9XhakQ1yQGURFS8OXXAQ5gvJG6e0ijQUEKIYT4SVi4K5PiJAYpqTULUqJ0UeL32ae2QyLhsPw/70J/bJ24nYIU0lhQdw8hhPiJ70zKRQA1q0cBgN4Deojfq9RKKJQKx5ovzPEFyGh0D2kk6EkmhBA/ca9JcbroyKQk1zCT0iGtPd7NehNNE5uI2+QKz7dyKpwljQVlUgghxE+cQUphXhH+88yrKMwvwoW/atfdAwA9+3VDcqtE8We5Y/VcJ+ruIY0FZVIIIcRPnN09APDpui8QGR0Jg6PrJ6GF96idmqqYSaHRPaSxoEwKIYT4SZjGc4jxuVPnAQijdJSq2i0a505BmRTSSFGQQgghfqJUKRDbJEb8+frVfABAZFTVa/ZUh2pSSGNFQYqfrVixAh06dECPHj2qP5gQ0qhwHIcPvliOoWPvBQDknBMmcouIqnrNnup41aRQdw9pJChI8TOaFp+Qm1uL1sno/rcuAAB9cSkAICL6RoOUCjUplEkhjQQFKYQQ4meR0Z7dO9WtflwdqkkhjRUFKYQQ4mcRFYOUaKpJIS4WiwWLFi1Cu3btkJqaiv79+2PPnj03dM2ioiK88cYbGDZsGKZMmYJ58+bBarXWU4sbDg1BJoQQP6tYKHujNSlemRSqSQlZZrMZgwcPRm5uLnbt2oXk5GRs2bIFAwcOxMaNGzFy5MhaX/Ojjz7C008/jSlTpuDDDz9EeHh49ScFCQpSCCHEzyrWoNzo6B4Z1aQ0GrNmzUJ2djYOHDiA5ORkAMDIkSORlZWFCRMmoHv37khJSanx9ebMmYOlS5di69atyMjIaKhmNxjq7iGEED/TVqhB0d5wJkXu8TMFKaHp/Pnz4gjQnj17euwbN24cDAYDZs+eXePrLVq0CAsXLsSGDRtCMkABKEghhBC/k8tl0LjNPluxkLbW16sQpMiklCQPRZs2bQLP8+jTp4/XvvT0dABAVlYWCgoKqr3W119/jTlz5mD06NEYMWJEvbfVXyhIIYSQAHAvlr3hmhQlZVIag+3btwMAWrVq5bVPp9MhISEBFosFe/furfI6VqsVM2bMAGMMmZmZDdJWf6EghRBCAiDSI0i5wZoUeYVMipyClGCi1+s9vsxms8/jfv31VwBAYmKiz/1RUVEAgCNHjlR5v82bN+PPP/9Ez549cfr0aYwZMwZdu3ZFixYtMHbsWJw9e7bOr8XfKCdICCEB4J49qfdMCo3uqRdFh5dBytX9Y9LGeABAUpLnCteZmZmYN2+exzaTyYSysjIArmCkosjISABAfn5+lffdsmULACAvLw9lZWVYvXo1pFIp3nzzTTz//PP4+uuvsWfPHnTo0KG2L8nvKEghhJAAcM+kRN7ojLPyit099NYeTHJychAR4fr3Viq9F5N0rzMJCwvz2g8AEonQ+WEymaq83w8//AAA4rwoTjNnzsRvv/2GjRs3YsKECTh48GCNX0OgUHePn9HaPYQQwFWTwnEcwiNubN6KipkUmswtuERERHh8+QpS3Oe6YYz5vI7FYgEg1KdUpry8HMXFxQCAhIQEr/1PPPEEAODQoUM4fvx4jV9DoFCQ4me0dg8hBHDNjaKNDBf/Qq4rrwUGKUgJOTqdTgxUysvLfR7jDD5iY2MrvY5erxe/d8/eOPXp00fsTvrjjz/q2Fr/oSCFEEICwNnFc6P1KACgDlN5DGmmmpTQI5VKxRqRK1eu+DwmNzcXAJCWllbpdWJjY8FxHADPgMWdszDXbrfXtbl+Q0EKIYQEgLO750ZH9jg1SYgXv6dMSmhyTrjmqxsmPz8fJSUl0Gg06Nu3b6XXkMvl6NSpU6XXAQCVSgUAaNu27Y02ucFRkEIIIQFwS6d2kEgkuLVL+3q5XtPEJuL3VJMSmiZNmgSJROJzMcF9+/YBAIYPH+6zpsXdQw89BAD46quvfO4/f/48UlNT0blz5xtsccOjIIUQQgKg3W1tsPvPbXjh1Wfq5XpN3TMp1N0Tktq0aYMpU6bg6NGjXnOhrFu3Dmq12mNytuzsbKSnp+Ott97yOPapp55CYmIisrKy8Ndff3ns+/LLL5Gfn4+XX35Z7BYKZhSkEEJIgETpIm+4aNapaYIrk0LdPaHr9ddfR7du3TB16lQUFhaCMYbly5dj27ZtWL9+vcdstEuWLMHBgwcxd+5cj2toNBps27YNarUaw4cPx8WLFwEI3T9PPfUUnnvuOYwePdqvr6uuaDA9IYQ0Ak2aU01KY6DRaJCdnY0XX3wR3bt3h0QiQceOHXHo0CGx1sRpzJgx2LNnDx599FGv66SlpWH//v2YM2cOOnfujPj4eMTGxmLRokUhE6AAFKQQQkijENs0RvyealJCm1arxbJly7Bs2bIqjxs7dizGjh1b6f4OHTpg69at9ds4P6PuHkIIaQRim7iCFImEghTSOFCQQgghjUByK9f6MEq1ooojCQkd1N1DCCGNgEqtxI7fPwUHDjJau4c0EvQkE0JII+E+woeQxoC6ewghhBASlCiTEiDOVS5LS0u9llknJBCsVisMBgP0ej09kyQolJaWAqh8VWDS+FGQ4mcrVqzAihUrYDabAQApKSkBbhEhhAS3goICREZGBroZJAA4RiFqQBQXFyM6OhoXL14M6f/5evTogUOHDoX8PW/0mnU5vzbn1PTY6o6rar9er0dSUhJycnJ8LvEeKuiZrPv5wfZMlpSUIDk5GUVFRYiKiqpRu+qDXq9HZGQkbotOh5Sr+9/yNsbjaNEBlJSUhPT/U4FEmZQAcU6FHRkZGdIPr1Qq9Xv7G+KeN3rNupxfm3Nqemx1x9XkOhEREfRMBsE96Zl0qa+lA0jooX95ckOmTZvWKO55o9esy/m1Oaemx1Z3XCD+vfyNnsm6n0/PJAk21N0TIM50IqUBSbCgZ5IEm0A9k9TdEzwokxIgSqUSmZmZUCqVgW4KIQDomSTBh55JQpkUQgghxA1lUoIHZVIIIYQQEpQoSAlB5eXlmDFjBpo3b474+Hg88sgjyM3NDXSzCAFjDFlZWejcuTPOnz8f6OaQm8iRI0cwevRoTJ8+HY888giuXLkS6CbVmcViwaJFi9CuXTukpqaif//+2LNnT52uNWPGDHAc5/W1atWqem51w6AhyCHoySefRHh4OJYuXYqffvoJb7/9Nk6cOIEDBw7QTKEkoD799FOsX78ev//+e6CbQm4iZ86cwT333IO9e/ciJSUF3377LQYNGoTDhw9DpVIFunm1YjabMXjwYOTm5mLXrl1ITk7Gli1bMHDgQGzcuBEjR46s8bXy8/PxwQcfeG2PiYnB+PHj67PZDYaClBCTl5eHjh074tlnnwUAjB49GlqtFi+//DL27t2LO+64I7ANJDe1ESNGIDw8HNu2bQt0U8hNZM6cOejTp484g/fAgQNhMBiwYsUK8b0yVMyaNQvZ2dk4cOAAkpOTAQAjR45EVlYWJkyYgO7du9d4pvJly5Zh6tSpmDx5ssf28PBwhIWF1XvbGwJ194QYiUSCJ5980mPbiBEjAAhRMyGBFmp/uZLQZjAY8Pnnn6Nnz54e29PT07Fhw4YAtapuzp8/jxUrVqBDhw5er2fcuHEwGAyYPXt2ja5VWlqKtWvXYs6cOWjfvr3HV2JiYkM0v0FQkBJiYmJivIbj8TwPiUSC3r17B6hVhBASGIcPH4bZbEZcXJzH9mbNmuHYsWPiOmmhYNOmTeB5Hn369PHal56eDgDIyspCQUFBtddauXIlIiIi8M0334R0zSIFKY3Ajh07MHHiRCQkJAS6KYQQ4lfOD+CYmBiP7VqtFjabDYWFhYFoVp1s374dANCqVSuvfTqdDgkJCbBYLNi7d2+V1zGZTFi2bBn++OMPPPzww0hISMADDzyAP//8s0Ha3ZCoJiVIzJo1q9oHb+LEiZg4caLHtqKiInz66afYtWtXQzaP3KTq+lwS4m8VayxsNhsA3NBgAhuz3VCbnOfr9XqP7Uql0ucEdb/++isAVNodExUVhcuXL+PIkSMYMmRIpff96aefkJSUBKVSiQsXLsBms2Hr1q3YuXMnVq9ejTFjxtT1JfkdBSlBYvHixXU67+mnn8Y777zjleokpD7U9bkkxF+cGeSioiKP7Xq9HlKpFDqdrtbXVCgUaNq0KU5c+/mG2xceHo6kpCSPbZmZmZg3b57HNpPJhLKyMgCodMXnyMhIANXXH9555504ePAgACAnJwfvv/8+XnvtNZhMJowbNw6xsbEYNGhQHV6N/1GQEsJeffVVDBkyBL169Qp0UwghJCBuueUWKJVKXL161WP7pUuX0LNnzzqtoKxSqXDu3DlYLJYbbh9jDBzHeWzzlUVxrzOpbOSN87WYTKYa3z8pKQkvvfQSxowZgwEDBiA3NxfTpk3Dn3/+6dWuYERBSoj64IMPEBMTg+HDh4vb8vLyEBMTQ8uaE0JuGlFRURg2bBj27NmD6dOni9t//fVXPP3003W+rkql8utINYVCIX5f2Wo1zqCpLtmhW265BV999RV69OiB06dP4/Dhw+jevXvdGutH9GlWR9u3b0efPn2wdu3aKo+rz5kDnf773/9ix44dSEhIwM6dO7Fjxw6sX78eTz/9NAUoN7lAPpdOVqsVgDDqjJCKGuIZffHFF/G///1PzEbs2LEDGo0Gjz/+eH03v8HodDoxUCkvL/d5THFxMQAgNja2Tvfo2rWrWI9y5syZOl3D7xiplU2bNrGePXsyAAwAW7NmTaXHmkwmNmDAANahQwd24cIFxhhjmzdvZnK5nG3evLlO91+9ejXjOE68v/vXkiVL6nRNEvoC/Vw6fffdd2zYsGEMAJsyZQr7+eefb+h6pPFo6Gd09+7dbNSoUey5555jEydOZFevXm2Il9Gg0tLSGAC2cuVKn/sjIyMZALZr164632PNmjUMAPvyyy/rfA1/oiClls6cOcNMJhNr06ZNtf+jzZgxgwFgBw4c8Ng+ZswYFhYWxs6ePdvArSU3C3ouSbCjZ7R6s2bNYgDYtGnTvPbl5eUxAEyj0TCTyVTne+zcuZNJpVKWm5t7I031G+obqKVWrVpBqVSiS5cuVR5XnzMHElIdei5JsKNntHqTJk2CRCLx2a21b98+AMDw4cN9Ft7W1LFjxzB69GjEx8fX+Rr+REFKHVVXUFWfMwcSUlP0XJJgR89o5dq0aYMpU6bg6NGjOHLkiMe+devWQa1WIzMzU9yWnZ2N9PR0vPXWWx7HGgwGGI1Gr+uXlJRg69atWLJkSYO0vyFQkFJH1Q3dqq+ZAwmpDXouSbCjZ7Rqr7/+Orp164apU6eisLAQjDEsX74c27Ztw/r16z1+L0uWLMHBgwcxd+5ccZvNZkNiYiKaNWuGVatWiYXsx48fx7PPPot169ahadOmfn9ddUVBSgOpycyBALyiZUIaEj2XJNjd7M+oRqNBdnY2evXqhe7du6NNmzbYvXs3Dh06JC4m6zRmzBhotVqMHz9e3CaVSrFgwQLExcXhX//6F1JTU/HII4/gwIEDeOedd3wGf8GM5klpAPU5cyAh9YWeSxLs6BkVaLVaLFu2DMuWLavyuLFjx2Ls2LFe26dNm4Zp06Y1UOv8izIpDaChZg4k5EbQc0mCHT2jpCIKUhpAQ88cSEhd0HNJgh09o6QiClIagD9mDiSktui5JMGOnlFSEQUpDUAqlaJDhw4AgCtXrvg8Jjc3FwCQlpbmr2aRmxw9lyTY0TNKKqIgpYFkZGQAEIZ9VZSfn4+SkhJoNBr07dvX300jNzF6Lkmwo2eUuKMgpYH4Y+ZAQmqLnksS7OgZJe4oSKkj5wqvNpvN5/7azhxISH2g55IEO3pGSW1QkFIHRqMRv//+OwBg//79lR5Xm5kDCblR9FySYEfPKKm1AC5uGJJGjx7NwsLCxOXGATCdTsdWrVrl83i9Xs9mzJjBUlJSWGpqKhs6dCj77bff/Nxq0tjRc0mCHT2jpC44xioZjE4IIYQQEkDU3UMIIYSQoERBCiGEEEKCEgUphBBCCAlKFKQQQgghJChRkEIIIYSQoERBCiGEEEKCEgUphBBCCAlKFKQQQgghJChRkEIIIYSQoERBCiGEEEKCEgUphBBCCAlKFKQQQgghJChRkEIane3bt2PGjBnQarXgOA4cxyEqKsrjS6FQiPv69+8f6CaTCr7//ntwHIeIiAi0bt1a/Dp9+jRWrlyJuLg48d/P+RUTE4P58+eL11i7di2aNGnidVxUVBRmzZpV6zaNHDlSbEdCQgI4jsOECRPq8VUTQrwEehlmQhrKu+++Ky4Jb7VavfafPHmSZWRksG7dugWgdaQq2dnZDAAbP368z/12u51lZmaK/74zZ85kdrvd57Huz8GECRN8Pgv13T5CSP2gTApptFq1alXl/nbt2mHLli3QaDR+ahGpLxzHYfTo0eLPjzzyCDiO83ms+3GjR4+GTCZr8PYRQuoHBSmk0arJh5FWq8Xzzz/vh9aQ+qZWq8Xvw8LCKj3OPQhVqVQN2iZCSP2iIIXc9O69995AN4EQQogPFKSQm9bkyZO9tp08eRKTJ09G+/btAQBvvfUWYmJi0K9fP5SXl4vH7du3D/fffz9uueUWaDQapKenY9u2bT7vw/M83n77bfTu3Rvt2rVDUlISJk6ciPfffx8JCQkAgAsXLiA+Pl4s7rzjjjvE89evXw+NRiPuW7t2rdc9Tpw4gTFjxqBjx44IDw9Hp06dsHr1ao9jGGP47LPPkJaWJl5j+fLlaNmyJSIjIzF16lRYrVafr2H37t3IyMhAmzZt0LRpU/Tr1w/ffPONuL9Hjx4exalhYWHYsGGDuP/IkSOIiIio8jUEwoQJE8BxHJo2bepRoJuamiq29b777gt0Mwm5eQW6KIaQhuIsboSPwtn169ezO+64w2Pb5MmTmVqtZgBYixYt2MaNG1lkZKR4jW+//ZYxxtiaNWvYLbfcwo4fP84YY+zYsWOsRYsWjOM4tmbNGo9rFhUVsdtvv52NGjWK5efnM8YYu3r1Kvv73/8uXtfdnDlzGADWv39/j+0Gg4F17NiRAfC6x86dO1nLli3Z//73P8YYYzk5OSwtLY0BYPPmzWOMMXbo0CE2aNAg8Z5r1qxhkydPZhqNhjVp0kTcPn/+fK/f4yuvvMISEhLYgQMHGGOM5eXlsaSkJAaArV27ljHGmMlkYiNHjhSv4/zduDt69CgDwDZv3uy1r6KaFKaeO3dOvN/p06crPc5qtYrHZWdne+wbP348+/DDD73OefPNNxkAptVq2dmzZ+vUPkLIjaMghTRa7kFKu3btxK/o6GifgQBjjH399dcMAIuNjWWPP/4443merVy5kk2aNIkZjUb2xx9/MIVCwfbv3+9x3ubNm8UPteLiYnH7fffdx7p168Z4nvc4/tSpUz6DlN27d1fatkceecQrSMnPz2c6nY598sknHscePHiQAWASiYSdPn2amc1mxhhjvXv3ZgBYeno6W7JkCTMajYwxxv7973+Lvyd3X375JQPAPv74Y4/t//znPxkAdtttt3m0JSoqigEQAyZ3n376qcfxVfFXkDJt2jSvf5s//vhDDFYrBoS1aR8h5MZRdw+5KRw7dgwnT57EyZMnUVBQgKVLl/o8zjkiyGg0Yv78+ZBKpXj88cfxwQcfQKVSYfny5YiPj0d6errHeZ06dQIAlJaWit0gu3fvxpdffonHH38cUqnU530qkkgq/1+y4jUAYPXq1SgtLcXQoUN9tsdutyMrKwsKhQIA0LJlSwDAiBEj8Mwzz4iFpP/4xz8AABcvXvS4TmZmJrRarccIGQCYNm0aMjIy8Nhjj4nbYmJiMG3aNADAO++849XWDz/8EBMnTqz09d2IjIwMtG/f3udXx44dKz1v+vTpHr9Xnucxbtw4GI1GDB8+nOZBISTAaCweuelwHIcZM2Zg//79XvucI4JiY2MRFxfntf+7775DQUGBWLPiZLfbERMTAwC4du0aAOCTTz4BAHTt2tXrOr4Cjrr47rvvwBhDWlqa1z5ne65fvy5uk8vlAITX565Zs2YAhODM6fr16zh8+DDS0tK8hvfedttt2Llzp9c9p0+fjiVLlmDTpk145ZVXkJycLF7rm2++wXvvvVeHV1m9r7/+Gq1bt/a5j+d58XVX1LZtW4+fX3rpJfz8889o1qwZ3n333XpvJyGkdihIITcljuOQkpJS6/MuXryI2267DQcOHKj22CNHjgAAIiIian2f2rRHp9Ph5MmTNTq+srlEfA3XPn/+PADAZrPVuD3x8fF49NFH8d5772Hp0qVixmr9+vUYPHiwV3AUTA4ePIhXXnlFLOx1BnmEkMCh7h5y01q4cGGtz+F5Hn/99RcYY9UeW1xcDEDoAmooPM8jLy9PvFd9stvtAIBz587V6PU6Pfvss5BIJPjggw9QVFQEAFizZk2DdfXUB4PBgHHjxsFms+Gpp57CXXfdFegmEUJAQQohtdKsWTMUFhZi165dPvcbjUYxy+LMoBw+fLjG168s01FVexhj2Lx5s8/9jDF8//33tbqmU2JiIgCgrKwMX331lc9jPv/8cxQUFHhsa9u2LYYMGYKysjKsXLkS+/btg16vR0ZGRp3a4Q8zZ87EqVOn0KFDByxevDjQzSGEOFCQQm4KtckEVKVfv34AgKeeesrrwxkAFi9eLHaPdOnSBQCwcuVKry6TyrpQnLOoFhYWeu0rKSkBAFgsFq/2zJ07F2fPnvU6Z926dbhy5UrVL6oSiYmJSE1NBQC8/PLLXm3W6/V47733fHaLzJw5E4AwD8uKFSswfvz4KouCA+nrr7/GypUroVAosHHjRq9Zab/99tsAtYwQEpzvGoTUA4PBIH5fVlZWo3OcXRzu57qbPn06JBIJTp06hZ49e+Kjjz5CTk4Ojh8/jlmzZmHHjh3o1asXAIgjX3755Rc8/PDDyM/PByAEG9OnT/d5fefom+PHj+OHH34AIAQsU6dOxbFjxwDAo/5kypQp0Gg0yM/PR+/evfHOO+/g3LlzOHXqFF599VUsXLgQQ4YMEY83mUwAhG6iyrhP6PbMM88AECavGz16NM6cOQOz2Ywff/wRd955Jx544AGf1+jTpw/69OmD3NxcfPTRRx6jgOqLe5Gv+/dVHed8/U6FhYViN9SCBQu8CpDdM2OEkAAI5PhnQhqKzWZjkyZNEufHePPNN2t03gcffCCe8+WXX/o8ZsmSJeIx7l9RUVHszz//9Dh2+vTp4n65XM5SUlJYbGws++mnn3zOk8IYY7fffjsDwDiOY0lJSUypVLL33nuPjR8/Xtw+dOhQdv36dcYYY5s2bWIymcyrPUqlku3Zs0e8rtFoZG3btmUA2GOPPeZxz8OHD4vn7d69W9xut9vZiBEjfL7e0aNHV7ryMGOMZWVlMQBek+bVRE3mIVmwYIHYlnnz5lXalvfff188buLEiR4T+40aNUqcl8Zms3mcZ7fb2YIFC1hmZmad2kcIuXEUpJBG5/nnn2cRERFeH6pxcXGVTs7FGGM9e/b0OmfAgAE+j92+fTvr27cvCwsLY5GRkezBBx9kJ0+e9DrObrezN954g7Vs2ZKp1Wo2aNAgduzYMcYYqzRIycnJYYMGDWJqtZrdeuut7NNPP2WMMTZhwgR21113se+//97rnJ9++ollZGQwrVbLNBoNGzRokDhDLGOM7dixg2m1Wo/XFh8fz44ePcruv/9+JpfLxe1SqdQjiOF5ni1ZsoS1bduWKRQK1rZtW7Z06VKvD3Vfr7158+Zsw4YNVR7nS1VBwIoVK5hOp/P6t9LpdOIMu4wJMwPHxcV5HRcZGcmef/55tnPnTo/fRWpqqviVkpIiPkMUpBASOBxj9dRZTwipFWeRbGP9XzAnJwedO3fG5cuXPVYsronvv/8eAwYMwPjx44NmnR93wd4+QhoLqkkhhDSI1atXY/To0bUOUAghxIkmcyOE1Lvy8nKsWrWq0qHLhBBSExSkEBIAZrNZ/J7neZ8zvoYSo9GIhx56COXl5XjggQfwxRdfoGfPnj6XBCCEkJoK7XdGQkKU+wRre/fuRf/+/QPXmHpw/PhxfPHFFwCEhRUTEhKwb9++ALeKEBLqqCaFED+76667cM8994g/33nnnRg8eHAAW3Tj0tLSMGzYMGi1WgwdOhQ//vgjkpKSbvi6n332GVq3bi1+nT59uh5aWzcjR44U2zF27NiAtYOQmwmN7iGEEEJIUKJMCiGEEEKCEgUphBBCCAlKFKQQQgghJChRkEIIIYSQoERBCiGEEEKCEgUphBBCCAlKFKQQQgghJChRkEIIIYSQoPT/wwHU1inDGpsAAAAASUVORK5CYII=",
+            "image/png": "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",
             "text/plain": [
               "<Figure size 600x500 with 2 Axes>"
             ]
@@ -3922,7 +4171,7 @@
         {
           "data": {
             "text/plain": [
-              "<matplotlib.collections.QuadMesh at 0x25a30084250>"
+              "<matplotlib.collections.QuadMesh at 0x2446a7364b0>"
             ]
           },
           "execution_count": 28,
@@ -3931,7 +4180,7 @@
         },
         {
           "data": {
-            "image/png": "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",
+            "image/png": "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",
             "text/plain": [
               "<Figure size 640x480 with 2 Axes>"
             ]
@@ -3972,7 +4221,7 @@
         },
         {
           "data": {
-            "image/png": "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",
+            "image/png": "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",
             "text/plain": [
               "<Figure size 640x480 with 2 Axes>"
             ]
@@ -4026,7 +4275,7 @@
           "name": "stderr",
           "output_type": "stream",
           "text": [
-            "C:\\Users\\mcve343\\MHKiT-Python\\mhkit\\dolfyn\\adp\\turbulence.py:422: UserWarning:     The beam-variance algorithms assume the instrument's (XYZ) coordinate system is aligned with the principal flow directions.\n",
+            "c:\\Users\\ashly\\anaconda3\\envs\\Updated_MHKiT\\Lib\\site-packages\\mhkit\\dolfyn\\adp\\turbulence.py:407: UserWarning:     The beam-variance algorithms assume the instrument's (XYZ) coordinate system is aligned with the principal flow directions.\n",
             "  warnings.warn(\n"
           ]
         }
@@ -4073,7 +4322,7 @@
           "name": "stderr",
           "output_type": "stream",
           "text": [
-            "C:\\Users\\mcve343\\MHKiT-Python\\mhkit\\dolfyn\\rotate\\api.py:72: UserWarning: You are attempting to rotate into the 'principal' coordinate system, but the dataset is in the inst coordinate system. Be sure that 'principal_heading' is defined based on the earth coordinate system.\n",
+            "c:\\Users\\ashly\\anaconda3\\envs\\Updated_MHKiT\\Lib\\site-packages\\mhkit\\dolfyn\\rotate\\api.py:72: UserWarning: You are attempting to rotate into the 'principal' coordinate system, but the dataset is in the inst coordinate system. Be sure that 'principal_heading' is defined based on the earth coordinate system.\n",
             "  warnings.warn(\n"
           ]
         }
@@ -4120,7 +4369,7 @@
         },
         {
           "data": {
-            "image/png": "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",
+            "image/png": "iVBORw0KGgoAAAANSUhEUgAAApQAAAHiCAYAAABWXFx9AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAsSJJREFUeJztnQeYE1UXhu9WWFiW3ntHOtKrdBBUVBAURJqKiL8KigJiQVBRQQVEFBAUEaliQ6VIl46ACIL03ntZYEv+5zvDZCfZSTbJZEt2v/d5hstOZu6dluTLuacE2Ww2myKEEEIIIcRHgn3dkRBCCCGEEApKQgghhBBiGVooCSGEEEKIJSgoCSGEEEKIJSgoCSGEEEKIJSgoCSGEEEKIJSgoCSGEEEKIJSgoCSGEEEKIJSgoCSGEEEKIJSgoCSFpggsXLqiPP/5YlS9fXr311lsqEOjevbuKiopSn332WWofCiGEpCoUlCRgCQoKsrR88sknav369Ulu98svv9jH7NSpk8vtevbsad9u69atql+/fqpmzZo+HdulS5c8ugbPPPOM234yZcqk8ufPr+rXr69eeeUVdfjwYZXWuH37tnrqqadUiRIl1MCBA9V///2nAoFz586pGTNmqKtXr6qJEyem9uEQQkiqQkFJApratWurVatWiQCLiYmRZenSpfbXn3jiCfv66OhotWfPHvXSSy+J2AL16tWT9X/++acqW7asfb88efKo3377TV2/fl21b9/evn727Nlq165dKmvWrPJ3SEiICEcISKOoqFGjhvy9efNm1axZM/v6jz76SB09ejTRsnfvXjlu47aeAMvY+fPnE1nISpcure6//37VvHlzZbPZRDh/+OGHYv3DMaQlwsPD1bhx4+Qa6vclLYldPF9m4Bl5/PHHVWRkpDwDhBCSkQlN7QMgxFdy5sypFi1aJK0RiDwdCJTQUO0xR1uuXDk1evRodevWLfs2mTNnVg0aNFBPPvmkevXVV2XdI488otq2bZtoTPQdEREh+xcoUEDNmzdPNWzY0OUxYnxYKZcvX24/5iJFiphuW6ZMGTmOkiVLenwNgoODVa5cuUTQwOKqW/cgTmHxAxDTOOfXXntNjlsX1AMGDFBpBVxTiGCcCwRyWgE/IPbv36+aNGli+vo333yT4sdECCFpEVooScDSsWPHRGLSU55++ulE63Lnzm36fyPXrl2TcSH6NmzY4FZM6mTJksUrYYX+fSFfvnym68PCwtSQIUNkelwHf58+fVqlNXD+ack6+d5776X2YRBCSEBAQUkCFqNA8pa77ror0fSy0bJp/L9RTLZr107duHFDrVy5UhUrVsyjsbydxoUfoT6l7g1mx2wElkkdWCoxpZ/WSOocUhKI7n///Te1D4MQQgICCkoSsGAq2Vcw/V2tWjWPt7948aJq2bKltBCTBQsWVMkFpn5hVUyOfrNnz27/+8SJE34fI73w9ttvpzlfU0IISctQUBKSBMePHxcfOkyBwhfS1dSyVX7//Xf11VdfJev9QNS3jtFd4MyZM+rdd98Vv0scAwJ5IKpwrvDtxPS+kdjYWDV9+nSx8mIbWFRh9YUV9OTJkx75JrZo0UJcCzDNjSh0nL8zU6ZMSRS5vmLFCvvrP/zwg9vXjVy5ckUNHz5cfkjgeBFMA59VZz9IBDK9+eab9r+xj973gw8+6BDlPWbMGFWhQgW3aY6QDmnUqFESqIUUQ7judevWlX1v3rxpug8Cv5577jnZ/tChQ7IOFmU8hzjuUqVKqU8//dTtNSaEkJSEgpIQN+CLHWInW7ZsIiYR2Ztc7NixI1nvxbFjx0Q46jRq1EidPXtWPfbYY6po0aIStKOnFYIwhKjC6whKgdjUwTqIwaFDh8r0/L59+yRCG+IMVj0ILARLmYEAIaReQnR0q1atZEr5wIED8v8HHnggkdW0d+/e4utpTMlkBPtAwCYVZf3XX3+J4N2+fbuaNWuW9ImAKvyNTABGn9rFixfLcRYvXlz+fv311+2ZAr7//nsR0zgeWHxffvllyRzgii1btqjq1aurX3/9VU2aNEnOD8IQU/vYF+LWmMoJ1/HRRx9VVapUURMmTJCURADBYh06dBBxiawEBw8eVP/73/9E1BNCSFqAgpIQFyCVEEQXLHQQGcbpYn+zbds2idJOTmBp00EEO0QLzmn8+PEOwgQR4hBPsMxCbMKqiRREID4+Xj300ENq7dq1IoywHlY0RM9/+eWXqkePHmIJhCUPIs4ZCLf58+fLmIMHDxbrJtwHYA2FQMW4zlHs2Abiywy8jmj7Z5991uV5Q4RBsML6ChEJYQkrH64BxC2YPHmyPd0U3CH0zAD6GPo6/f9ffPGF/ABw5x8Lodu6dWsRjxDYSHGFcZGqasmSJapixYoSlQ9xrgtHXEcIXmMwEIQ+LManTp1SR44ckRRTupX8gw8+cDk+IYSkJBSUhJiwbNkyESHwmYTIgZDyBy+88IIIIOMC6yemQ/3p0wgxAxECYJWEBQ/Tx6BSpUp2AYkckLC6wtKns3PnThG3hQoVUjNnzhSLGFIqAeS7hNBu06aNCFJnYKHE+WAq1zmSXp/SRy7Mvn37Jtr3xRdfFMFmRlJBShBqrnj++edl2hkWV+f+8YNBB4LNUyCyEZSFNEeugAUR4/bv3z9R9DrOR/8BAQuwLvb186xcubJ9WzyHEI76WJjuhhVTt6AjSIwQQlIbCkpCTIA1CxVmwJo1a+wBOVaBJQ7WSOOC5Oew2PkzZQ4sejgHiEWIVljUICRHjhwp/pB58+Z16VsJAeScy1MH07CgcePGpuNC9OhWP0z3rlu3zv7aO++8Iy2smmaWvRw5cqjChQsrf4Kk8T///LMEOTVt2jTR6xDK8OecNm2aXaR5g6uUUPhxAP9Od9cKzxTEIcB0OHx0ze6H2XFjuh3gR8Ply5e9Pm5CCPE3TGxOiAn4ooffIL704SO3adMm+WLHVKWVoBxMMUPgGcHfsNr5My/kt99+K4IS6YGQ7gjT0u4ix42WO+N0rxH4O+7evVv+r4ttM3CdINAAIuLhgwrrH4S5Pq3ryXH4A73KDQQ0rLHOQNh27tzZ5/5dHe+PP/6o4uLi3F4rjH3PPfeIDymmvOEigOlwT9In4X7qGJP0E0JIakELJSEuQEUbCBI9vdDff/8tUbbwLUwOPEmS7i2wdCGS2h9piBB844nwQ1COjh7xjWATXxK9W0W/V86+mcmNlWtFCCGBCAUlIW6ANRLR3UjzAmCthKjUU7n4EwSJuIpmTgugrrkxZY4rMHXtnJoIvoQ6qLueUuh+pDheBAsFwrUihJBAhIKSkCTAFz0igHVfNkxRwi9Or5udXPgrEMhfILWQzj///JOkiANly5ZNNEXrS3okb6sN6ejuCTimP/74w6Pp8dS+VoQQEohQUBLiAYgiRpoclF7UczrCUplcuSPhs2nM/ZgWqFWrll0YIg2OUQwZQZ5Kfbq9ffv28v+qVavaX0ewijEAxQzd/1DH6P+Y1L5GIa5bloG7tEywPOtBNP4AqYB03JW41K8VjtPfAUmEEJKSUFCSdIdRjHhj5TNu6yxoQObMmUV0dOzYUf5GEA2sluvXr3fbryvh5QqMjVQ3jzzyiFf7GY/finXT1b4QiHoqIEQxL1iwwHQ7RHeDbt262ad0kSRcF3e4bsOGDXN7rRBIZAT96FZKM8swEofrGNPoINfj3XffbbdAjh07NtG+GAvJzZFs3YgenGQ8FgTAGO+n/n/ne4zgGghwgOvkyj9Sv1aIrDfizf3z9vkihJDkgIKSpDuM+QS9iZw2bnv+/HnTbRDcgsTTusUNvoEoPzh16lSX/SKPozuh6syQIUNkH0R+e4OxCo63EePGY4T11RVvvPGGPdUNquk4p6xB8AuShGOq+cMPP3R4DX/r0cv4/4ABA+z+lGiRK1MfG4nkIbaQVgkgpZIeHY5cl0i1BCGFqHMIQeN0NSLLkQdTTxaOEod6YAxyXaL6DvxiYQX+/PPPRXTiWuvCU0fP+4htYRXFM9GnTx+HbfTzN/PPRN8Q4RChKKPoLPzgOgHrJTIJdO/e3eE14/NnvDdmpKRvKCGEuMRGSDrh1q1btr/++stWpUoVfHPLkjlzZtvcuXNtV65cscXHx5vud+PGDduaNWtspUqVsu+XJ08e28KFC23Xr1932A//P3z4sK1q1ar2bfWladOmttmzZ9uOHz/usE+rVq3s23Tp0sV26dIlW0xMjH25ffu27eLFi7ZNmzbZHn/8cdnu3Xff9eic4+LibGfPnrV99NFHDsfSrl072/79+6X/pDh37pxt+PDh9n2LFCki1yM6Otp0+71799pKlCgh21arVs22YsUK29WrV207duywtW3bVq7jzp07Tff98ssvbSEhIfaxwsPDpa9MmTLZRo4caStevLjDOWzYsMG+7+TJkx3OUe/n1VdftR08eNDhtZYtW9q2bt1q33fKlCkO4xqX1q1byzPgzODBg+3b5M6d2xYVFWVbtGiRvIbtJ02aZH+9cOHCtu3bt8u9NPLjjz/asmbNKts88sgjcl2uXbtmW7Jkia1MmTK2Nm3ayPOgg+fm5MmTsl7vu1+/frbz58/La7jfJ06ckGPWX+/Tp4+8TgghqQkFJUkXQJCZiQXjMnHixET7rVu3Lsn9fv75Z6+2x7Jq1SoRaRCZnmzvvOzbt8+j8+7bt6/bfiCE3HH06FGX+95zzz0u94OAfPvtt0VYR0ZG2nLmzGmrXbu2CNvLly+7HRPCuUOHDrJPlixZbI0bN7b99ttv8hrEaOfOnW3btm0z3fezzz6TbSIiImQ8/FgAEJQQbs8884xLMbt582bbQw89ZMuVK5f80Lj77rvlmYBIMwPCr1u3btJv5cqVHZ4DCEiza4YfDM4cOHBARCGOG8K5YMGC8iMDPz5iY2MdtsV1cPccvvnmmy5fh6AnhJDUIgj/uLZfEkIIIYQQ4h76UBJCCCGEEEtQUBJCCCGEEEtQUBJCCCGEEEtQUBJCCCGEEEtQUBJCCCGEEEtQUBJCCCGEEEtotcWIW1AGDaXmsmXLZi//RgghhJiBbHyo1FSoUCF7labkABWhkqpt7wnh4eFSWpYQK1BQegDEZNGiRS1daEIIIRmLo0ePqiJFiiSbmMwTEaGu+6GvAgUKqIMHD1JUEktQUHoALJP6h0NUVJS1K04IISRdg/rqMELo3x3JASyTEJPPhQSrTBb6uaWU+vTUKemPVkpiBQpKD9CnuSEmKSgJIYR4892RnGQNsqlMFsYJZbE84icoKAkhhJAAJThIqRALupWRucRfUFASQgghAUpokLb4vL8/D4ZkaPjjhBBCCCGEWII/TgghhJAAJcTilHeIPw+GZGgoKAkhhJAAhYKSpBU45U0IIYQQQixBCyUhhBASoIQE2SxOedv8eTgkA0NBSQghhAQoIRajvOlDSfwFp7wJIYQQQoglaKEkhBBCApSQYItR3pzxJn6CgpIQQggJUBjlTdIKnPImhBBCCCGWoIWSEEIICVBooSRpBQpKQgghJEChoCRpBQpKQgghJEBhUA5JK9CHkhBCCCGEWIIWSkIIISSArUJW0gYFM20Q8RMUlIQQQkhG9aG0sC8hRjjlTQghhBBCLEELJSGEEBKgBAdri8/7+/NgSIaGgpIQQggJUDjlTdIK/HFCCCGEEEIsQQslIYQQEqDQQknSCgFroVy4cKFq0KCB+uqrr9xu99dff6n27durkiVLqjJlyqhXX31VRUdHp9hxEkIIIcma2NziQog/CLhHac6cOapu3brqvvvuU+vWrXO77c8//yyis0WLFurgwYNqy5Yt6s8//5S/r1+/nmLHTAghhBCSngk4QVmrVi21atUqVbZsWbfbHT16VHXr1k01b95cDRw4UNZlz55dffnll2r9+vVq0KBBKXTEhBBCSPIQHGR9ISRDCspSpUqpTJkyqRo1arjdbvjw4erq1auqV69eDuvLly+vateurT7//HP177//JvPREkIIIclHcHCQCrGwYH9fuX37tho1apR8r5YuXVrdc889YvDxllOnTqm+ffvK9zvc07p06aKOHDnidp958+bJdzn2qVq1qpoyZUqS49y8eVN99tlnqkSJEurQoUNut12+fLnMZmbLlk1lzZpVZjtnzZrl9bllJAJOUOpkzpzZ5WsxMTFq7ty58n88BM7Uq1dP2Ww2jx5AQgghJK2SWhbKW7duqbZt26pvvvlGLVmyRO3fv18999xzqmXLlvbvX0+AOxpmHi9duqR27typ9u3bpwoVKiTr9uzZY7rP0KFDxVg0evRodeDAAXGFw7rnn3/edPsbN26oMWPGqHLlyqn+/furw4cPuz2mGTNmyHksW7ZMRCj2h4vdY489pl566SWPzy2jEbCCMijI9btg9erV6sqVK2LJLFy4cKLXq1SpYv8FQgghhBDvQIArvkOnTZumihUrJuseeeQR1alTJxF7EIpJERcXJ/vA0jl16lQVERGhQkJCRCjCaNS5c2cxEBn54Ycf1Hvvvadef/11sYiCChUqqJEjR6rx48eLuDQb54knnpDjDU4iC/zZs2dFGL/22mvq5MmTMj7iLyBwwUcffaQWL17s1bXKKASsoHTH1q1bpTUTkyBHjhzS7tixQx40QgghJBBJjShvTBdPmDBBVaxYUdWpU8fhte7du0vQ65AhQ5Ls57vvvhOxBlGJaWX7OYWEiDXw77//lrgHnfj4ePXKK6+IQalnz54OfXXt2lX2Q8yE8/c6pq3z5s0r0/J58uRxe0wzZ85U77zzjnr77bdVgQIFZN3dd9+tfv31V5UrVy67BZNkEEGJXxhG4egMgnNAbGysunz5sqkpHxZO40IIIYSkNVJjynv27Nny/WnmUoYsLGDBggXq/Pnzbvv59ttv3bqmgcmTJ9vXbdq0Se3du1eEYb58+Ry2j4yMVJUqVVLHjx8X8eeLuxwIDw9X/fr1S7QegrRHjx4OGoNkAEGpP8RZsmQxfd1o8oZ/hDMwp0N06kvRokWT8WgJIYSQwMoDDRAQ4wyseJgdxDQ20vS5An6JK1ascNmP7pqGGUfd8ONuXE/d2dy5ywGISVfT4np2meLFi7vtI6OSLgUlfmEABN6YgQddRzdhG4GpHg+wviAFESGEEJLWSI0pb92trEiRIqav67OD27Ztc9kHsqzoBh2zfvQ+8D2+fft2v41rhXPnzknboUOHZOk/0EmXpRd1vwdXycsRTQbgs2Fm/kYwDxZCCCEkLRMcZC31T7DYXWyJXLtcfQ9CBF67ds0jtzJdgJlhnDY260fvw9iPp+5s7sa1wtKlS8UK2qZNm2TpP9BJlxZK5KQCJ06cMH399OnT0larVi1Fj4sQQghJi8C1y+jqBdcvM4x+kUm5lZm5lHnaj5lrmqfubO7G9RVYSdesWSPBSElFimdU0qWFslmzZjLtfebMGfml4hzVhTxXoF27dql0hIQQQoh1rFa70feFa1dUVJR9vatZOt2lzBO3MjOXMk/7MXNN89Sdzd24vjJgwABJldS4cWO/951eSJcyG28KZNoHZln7kaAUvzCQ44oQQgjJ6D6U+N40Lq4EJcSaLuyScitzl6JHd01z1Y/eh7EfT93ZkkoN5C1jx46V1EPIdUnSoaBEygLgKo/km2++KT6S06dPd1j/zz//qL/++ks9+eSTSdYDJ4QQQkgCyPWI/JNW3coqV65sj7g260fvA+L1rrvuSjV3tpUrV0oKJOTM5FR3OhSU0dHRkvAUrF+/3nQb5Kn64osvJM2AnoQUtUEff/xx1bBhQ/Xxxx+n6DETQggh/iboTj1uXxfs7y16UApKJToDNzNkR4FBR69kY0bOnDntSdHN+tFd05o0aWJPeu5u3ORwZ4MBChV5IChd+W2SABaUjz76qJizUeUGoB537ty51eeff55o227dukmCUxSDR94qPGTI4o/6nHw4CCGEBDqpkdi8T58+Yq1z5VIGOnbs6OAnacbTTz8trbt+UAFHB/W1S5YsKSmHnJOLY7ob6/G6nhTdCv/995969tlnpZQjxK8znpSWzGgEnKCcNWuW+E/AKVdfEPn1zDPPmG7fqlUrtXbtWikgj18bKOye1ENOCCGEBAIIOLa6eAvcxSAGYdhxzvn49ddfS01uuJ3pINE4KuiMGzfOYVsYeJCGB6LNGJmN4Bp812NaHLOKOqGhoRJ9jhKMepUdHcxEYj3KJmJa3ld3OV1M9u7dW/o0+nrqM6So5/3NN9+4uUIZk4ATlIQQQghJXUaPHq1q1qwpxpwLFy6IcQeC8eeff5bYBWM1mzFjxqiNGzeq1157zaGPsLAwqZ0NkYca3GhRQQdiDuJw3rx5so0RBNz27dtXAmR017fVq1dL34jERg1wV8CqiOwv7tzl0Cem2SGUUcMbM6L6AkslSjzCMGW0nJJ0nDaIEEIIyQjovpA+72+egSdJ4NcIyyN8DGvVqiVT4LAoot62HjyjA5GHae0nnngiUT/YB9PbgwcPFssnBGTr1q0l76NzvW6diRMnyn5wgbt165bKnz+/iFh3FWxQLhHBPLqFEpbPQYMGiVtc9erVZR1eb9q0qbp48aLbaHL4fpYpU8aLq5UxCLK5SuhE7KCCABK9wtHYmKeLEEIISY3vDH2MtVVDVWSI74LyWpxNNfg7lt9vxDKc8iaEEEIIIZbglDchhBASoPgaWGPfn3OUxE9QUBJCCCEBSmr5UBLiDKe8CSGEEEKIJWihJIQQQgIUSU5uZco73p9HQzIyFJSEEEJIRp3y5jwl8RN8lAghhBBCiCVooSSEEEIClCCLUd7YnxB/QEFJCCGEBChBwUGy+L6/Xw+HZGAoKAkhhJCMmoeSgpL4CT5KhBBCCCHEErRQEkIIIQEKo7xJWoGCkhBCCAlQ6ENJ0gqc8iaEEEIIIZaghZIQQggJUBiUQ9IKFJSEEEJIgMIpb5JW4JQ3IYQQQkgyc+XKFYdF59y5c+rpp59WlStXVm3btlVr1qwJyHtBCyUhhBASoAQHWazl7fuuxEty5MihgoKCVNmyZVXPnj3V4MGDVXR0tGratKn6999/lc1mU6dOnVKtWrVS69evV9WqVQuoa0wLJSGEEBKgoNKN1YWkHH369FE7d+4UMQneffddtWvXLpUvXz61fft2sVZ++eWXaujQoQF3W/goEUIIIYQkM6GhoWrs2LEqJCRE/j5//rz65JNPxGr52WefqSpVqsj6rl27qgMHDgTc/eCUNyGEEBKgBIcEyeLz/vF+PRzihmLFiqmIiAj73++//766fv26ql+/vnrooYfs6+Pj49WRI0dUoEELJSGEEBLgUd5WFpIy5M+fX23cuFH+v27dOjVu3DixTr733nsO282YMUPdvHkz4G4LLZSEEEJIgBIUEiSLz/vTQplijBw5UrVu3VqVK1dObdu2TcXGxqonn3xSNWnSxL7NzJkzVf/+/VUgQkFJCCGEEJLMNGvWTC1dulR9/vnnqkCBAvL3888/b3+9X79+6tixYxL1HYhQUBJCCCGBitVpazq+pSi1atVSU6ZMMX1t4sSJKpChoCSEEEICFAblpB/OnTsnuSoRDR6I8LcJIYQQQkgy89NPPzksOkhiXr58eQnayZUrl/rwww8D8l4EpgwmhBBCCINyAogHH3xQclD26NFDgnEAfCZRbvHq1auqaNGiMiU+atQoVbp0afXwww+rQIKCkhBCCAlQgoK01EG+72/z6/EQ90yYMEHqdusMGjRI6npDSK5YsUJlyZJFKumgok6gCUpOeRNCCCGEJDNZs2Z1EJOo3z137lyxWiJQB2ISVKpUSfwpAw1aKAkhhJCMmofSwr7EOwoXLuzw97Bhw5TNZlOPPvqoqlq1qn39tWvXWCmHEEIIISkvKK0sJGWoWLGi+vTTT9WNGzfUBx98oBYsWKAyZcqkRowY4bAd/o6Liwu420ILJSGEEEJIMvPRRx9J0vIXXnhBLJPgk08+USVLlpT/79u3T4Qmpr9RkjHQoKAkhBBCApSgkGBZfN/fr4dD3FCiRAm1Y8cO9cMPP6izZ89KpZwaNWrYX0cqIaQPYtogQgghhKQo9KEMLLJly6a6d+9u+trAgQNVIEMLJSGEEBKgUFAGHlevXlWLFy9Wp06dUv3795d1GzduVPHx8apevXoqUGHaIEIIIYSQFGD69OmSwLxz585q+PDh9vWI8l60aJFq0KCB2r9/f0DeCwpKQgghJEBBUnNLUd4WkqLfvn1bqrrA7w+VXe655x61atUqr/uBpa5v376qVKlSEqDSpUuXJNPmzJs3T9WuXVv2gRhDIEtS3Lx5U3322Wfiy3jo0KEkt/dlDHf88ssvqlevXpLIXA/K0cmcObN68803VePGjVWdOnUkQCfQoKAkhBBCAjwox8riC7du3ZKSgd98841asmSJWNWee+451bJlS0nW7SkHDx6UKjGXLl2SCjEQUoUKFZJ1e/bsMd1n6NChIsxGjx6tDhw4oObMmSPrnn/+edPtkaZnzJgxqly5cjLFfPjw4SSPy9sxPGHkyJGqWLFi0heSmqNutzMoy3jx4kUZK9AIsjnLZJII/JrInj27qpKzrgoJSux2GhySWdr4uJsO67eeX5No25r5WjpsGxqRT7sRIZm0vsKjpF2/9wveCUIISWZq5G7k9jPb+Lm95cxSl/0Yt9G/My5fvqyiorTPdH+jj3GmfyEVlcl329CVW/Eq34QTXh/riy++qMaOHas2bNggFjWdrl27SrQyopn1dDiuQK7FunXrijUSwhKVZPT12Ddnzpxq8+bNKiwszL4PIqQfeugh9f7776tXXnnFvn7SpEli5Zw9e7ZMJzv7LMI6iWsGUQlfRYwHS6UZvozhCZGRkWrTpk3qrrvusuel3LVrl8M2qO0N0ZkjRw514cIFFUjQQkkIIYQEKKmR2BzTxahJDUFkFJMAEczXr19XQ4YMSbKf7777Tm3ZskU98sgjdjEJUIrwscceU3///bf68ssv7eshBCHwkKOxZ8+eDn1ByGI/REo7JwVHZHXevHllWj5Pnjxuj8nXMTwBQlEXk65YvXq1tDExMSrQoKAkhBBCAhUIQquLl8BCFxsbKwEkzsDiCFAF5vz58277+fbbb6U160ePdp48ebJ9Hax7e/fuFWGYL582u2e0/qEG9vHjx9Wvv/7qckz4KrrDH2O4okyZMi6n8QEskq+//rqI2Zo1a6pAg4KSEEIIIR6zcOFCaRGs4gz8AlGzGgE7f/75p8s+4Ne4YsUKl/1UqVJF2q1bt8p0fFLjGvdZvny5y3GTqkDjjzFcAattx44dZRrfmaVLl6qGDRuKvyYYPHiwCjQoKAkhhJAAJTWmvCHyQJEiRUxfh/8f2LZtm8s+EJQCv0ZX/eh9IMxj+/btfhs3KZJzjPr166uXX35ZNWrUSKa/4TuKdZiOb9OmjVgvg4ODJRAIAU+BBhObE0IIIRm89CICVoxkypRJFmcgAq9du+YgrpxBsBA4d+6cy3FRelDHrB+9D2M/+j5Wxk2K5B6jZ8+eMp0/fvx4sXIieAnuAxCYTZo0kSjyQJzuBhSUhBBCSAYHybaNICfiW2+9lWg7o19klixZTPuClQ3oFkgzkupH78PYj76PlXGTIjnHiI6OVuvXr5epbQQ1pTfS/ZT3mjVrVLt27VSBAgXEhI0ErHijWHngCCGEkDRBsMWAnDuJzY8ePSq+ivriKko7PDzc/n9XWQfhPwnM8ix62o/eh7EffR8r4yZFco7Rtm1bydOJfJ3pkXQtKJFcFZn7EXWGNwvyO82aNUtNmzZNtWjRwuGBJYQQQjKqDyVyUBoXs+luXUjpogvpgcxAknLgLkUPjDw6Zv3ofRj70fexMm5SJOcYO3fulDZQp7QzrKBEFv9+/frJrwFYJPXEqDVq1FDvvPOOWrt2rUN+K0IIISTgEEtjsIXFu6Ac5GFE/klw4sQJ021Onz4tbbVq1Vz2U7lyZXvEtVk/eh8Qr3ruRpQ/tDpuUiTnGG+88YaI9aeffjrJbaFdAo10KyiREBW+ENWrV0/02t133y0tnGEJIYQQ4jmISDZa3IwgWAVT5khUjhlCV6AKjp4U3awfvZY1AlX0pOfuxjXuAzc3X0nOMZ5//nmpJf6///3PbY7OP/74w6e0RAETlNO7d+9kOQD8QkkOS6H+AKIslDMowwTMxCYhhBASKPia+se4v7f06dNHffjhh2rVqlWJXlu3bp20yLdo9JM0A5Y6fEejn06dOpn2g+o0RqsdSjIi5RCisZFuxzgVjfV4XU+K7gvJOcZdd90ls6eYTp8+fbrptDnycxoj4NOloPzqq68CSlDixpUtW1atXLlSyjuhjJMOMvgjOSmKsBNCCCEBi4/Vbhz29xJ8t0IMfv7555KP0Wic+frrr1VERIS4munA2oZE3d26dRMrnbFM4yeffKLmzJmjPvjgA3sVG8Q3IN4B0+KPP/64ffvQ0FD13nvvqUcffVSq7KCeuM6MGTOkbCJc2jAt7wqk6AGuSif6YwxXIP+kUe/o6Zd8ScAe0IKyUKFC9jJJ/gJRVHigkgPcDBRyh/kaeZ8wFn7pIHM/aofCpOzK6ZgQQgghrkHybZQpfOaZZ6QMIaawkVvx559/Fq1grDQzZswYtXHjRrVr1y4HQYnYhpkzZ6qmTZtKfexx48aJmIRYhXCbN2+ePf5Bp0uXLiJQR44cqZo3by4+j6h//dprr6kBAwY4GI+cOXjwoDpz5oz8H+l7UF7RDCtjuOOll16S8/3hhx/k+kC8OoPzhk4JRIOXx4ISOZnc+UP4Cn7JJBd4SOfPn686d+4sv3LwQOMGLlq0yO2vC5ikseg4J3wlhBBC0kdic/P0OJ64lUF0ofZ0rVq1JD8jLIoQmXpgiw4EGKa1n3jiiUT9YB9Mb8OCCcsnBGTr1q2lOo5zLW2diRMnyn6wIuK7On/+/DKF3KFDB5fHW7x4cQm00S2U0ASDBg0SMWzm/ubLGElRoUIFGbdVq1Zut8OU+qeffqoCjSCbq2RLTuBGo2C6v0mufo3gxsCRFr9+YFKfOnWqPCSuQDLX4cOHJ1pfJWddFRKUWIMHh2hm+vg4x9yWW8+vSbRtzXwtHbYNjdDeMEEhmrU0ODxK2vV7v/DqHAkhhHhPjdyN3H5mGz+3t5xZ6rIf4zYwQqCiCoJTENWbHOhjXPqgvIqKCPG9n+g4leOVPcl6rERj2LBhYvVMio8//lj17dvXZXL1tIrHP2uQbic5SK5+deCXgUL18NOATwZ+nWDq2536R0JXY4JX5LAkhBBCCPGVOXPmeLQd3AiQYijdWiitgqLnqFKT0j4e8MGAr4QOfBcQTQY/BfhEoARSUhh/bd5Tsp1LC6Xzr1fjL1/nX8D6a7qFUrdMhkWVlPb2xd2J9g2J0KLN1u0e57D+nvra3yvXJfim6NQt1VPaDQeSJ6iKEJKxcGfRq13kYWljozU/NVfbgVoF20sbd/uytGGRRV3O0jh/Xm469r3Xx+vK+ujuc9qb/o3fAylqoRxTwbqF8qXdtFCmAOXKlVP//fef223gQ4oKfzB8nTp1SgUSKZKHEuKtQYMGKiU5fPiwmJfbt9c+tHQefPBBNWrUKAnSMZvWJoQQQgIGK2UXrUaIE7esXr1a/EkRs4Fl//799v+7WhBXAh/LHDlypN+gHFcgp+Nvv/2mjhw5IoXPnQ2eMTEx4nBrLKOUEixcuFAcac2cepEGAFPhCNIhhBBCCPE3jRs3luCid9991z6FndSkMARlpUqV1IQJEzKWoMRU8gMPPOCQ8d35YiF9D9aldE4lvU436nc7g0jvEiVKqEOHDqXoMRFCCCF+JThIW6zsT5KNoKAgSTdUsGBB9f7774v7X3rFkqB89tlnpcxSkSJF1P333y9Z35E6wAjEJHIqLVu2TKUk9913n3r55ZfFhxIJVo35nuDXsnv3bkmySgghhAQsek1un/dPkTCKDE/v3r3dlltUGV1QQmlDqMFSicTnrkBktat8UslFmTJlpDQUkqX26tVLorrhwAwnV/yNnFQwQxNCCCEBSypUyiG+MWjQoHR96SwJSiQDPX78uFsxKYOEhqq5c+eqlAYZ7RFZjiz9SBSaLVs2yUOJKG+E7+NvQgghhJDU4MiRI1JZCOkJ4YqHxOdJaap0KShRz7Jt27YiKpHr0R0Ig2/RooVKadq1aycLIYQQku6AD6QVKyN9KJOFoUOH2qvy6MCg9fbbb9v/hpBEmcmbN2/aXQRHjBgh6xGf4ikoD5lc/p8oU50ighKlDZEsHPUp0boCfgNwRjUWiyeEEEKIRTjlnSZp0qSJGLMQtf3cc89J+ckqVarYX0dsSc+ePVVcXJxdT9WsWVOtWLFCKvlt3rxZVaxY0aOxsE9y4G0wteW0QTDNIjCndu3aplPIuFgoe2isjU0IIYQQkl45d+6cJLVfuXKlqlatWiJd9NRTT0kL0QaDG4KIdSslap4jXzZqh3sCYkL8LSpxHM2aNUs5Qfn111+rJ598UhKXJ5VbKaXTBhFCCCHpHqYNSpP89NNPku/aWUyCiRMnSqYZ6CI9I40O1qHKX61atTweKywsTESlv0G/KSYoMYUNhV2/fn1JIQRrpXPaIIjN5cuXi78lIYQQQvyHLSRIFiv7E/+zZcsWNWPGDNOSmbofJQTbxx9/nGib/PnzezVWclXQ9rZfS4Ly4sWL4h+wZMkSlSVLFpfbwWw6efJkK0MRQgghhAQENptNhYeHJ1qPoBtMh8MSCUNcqVKlTPc35s5OClg5kwNv+7VUy/vhhx9WuXLlcismdfbu3WtlKEIIIYS4mvK2shC/ExMTk6jk9LZt29TYsWNFTEI76eUYndmxY0eSmXOMmFk5/YG3/VoSlMjviGThqNWdFF26dLEyFCGEEEJcTHlbWYj/admypfrf//4nbn/g7NmzooP0VEIorJIjRw7TfYcPH65at26drLcFx4McmP7EkqCEwl69erWaOXOmunHjhuk2uJgQnJgWJ4QQQghJ7wwbNkwCcypVqqQ6d+4sKYCQ8QYgnRCivM2smi+88IJasGCB1xHWAGIV0d4oJLNx40a322bNmlX17dtX0htNmjRJ+QNLPpQ5c+YUB1Pw2WefqfROoxKtVUhQwiULDsksbXyclpS0Ru5GDuu3nl8jbc18Le371CrY3uE1/e/wnOWlDYnUSlTeOrfdvk9QSCat3/BIh+NpUme0tKs2JkSI6dQp/pi0Gw9/5/P51ivbV9r1e7/wet9Wj2jnt2Sudk0IIf5F/+zQPx8y569tf231liGm++ifRVvOLHX4zDL7vAqJyOvwGaJ/puifb2bERp9x+NtsW/24bXFaKrnQiHwO5xF77ViiY7N/1t7Wvm+c0bfVz8HdNs6Y7eNJf84YvwfibI4JrZOVYIumIUtmJeKK0qVLq19//VVySs6bN8++HlbKqVOnOmyLRObIS4nt4F8JFi1apBo3buzxBUYJ7K5du6rDhw/b1xUsWFDyhMNS6uyTCVfFCRMmSJnqtWvXSoL1VBWUKG341ltvebQt0wYRQggh/sUWYi1SG/uT5KFhw4Zq//79atWqVerChQuSQgjloJ2BqMPSo0cPn8ZBjEqbNm3UtWvXJBgIs8foD+IUghIC9rvvvlOVK1d22A8BQbBUupphTnFBiVyUUNLFihUzjWiCCRYXEyUaCSGEEOJHgiwG1jBHdLISHh4u/pTuqFu3rqUx4HN59epVFRkZKUE/vXr1sr926NAhNW7cOHXPPffI1HbHjh0TlYP0l6C0ZOxGZZwhQ4a4FJMAZlbUmezevbuVoQghhBBCiBNLly6VWeDx48c7iElQokQJ9dFHH0ksCwKpsU1yYdl7ApVyXIlJI19++aXVoQghhBBiwBYcZHkhgc2lS5ekqAx8KF1Rrlw5KQP5zz//uExXlGKCsl69eslyAMnVLyGEEJLesQVbX0hgU6JECWn1FEWuQGWeL774QmXKlEmiyf2Nx4/S+fPn/T54cvZLCCGEEJLe6dGjh4hJT9Mzvvbaa6ps2bKSNsifZRs9FpTJFaXN6G9CCCHEN2ihJIMGDZIo7xdffFEdP37cowvy3HPPqSpVqkj0ub/wOMob+Sa/+eYbvxchR2QSIYQQQrzHarUbVsoJfEJDQ9Uvv/wi09k9e/aUXJeIb/FEVCLVECyWfjkOTzc8c+aMHKg/gTilhZIQQgghxHcQlNOvXz9Z9PKOnjB48GCXJSCTTVC++eabfhmQEEIIIf7BamANg3JSjr///tvh76pVq0qLkozPPvusVKwpXLiwevvtt8XK6CvOVXGS4plnnvF5LIdxPd2QgpIQQghJW1BQBg7Vq1eXWVnU6caUNATlxYsXVdOmTdXJkyelag3yeyOXZP78+WW9P6lZs6akGEL1nuSACQMIIYQQQlKA119/XRKRo8Y3GDZsmDpx4oTU/t6zZ4/avHmz1AD3tKy1Nxw5ckQq5yQXlkovEkIIIST1oIUycMicObMISp2jR4+qKVOmiNUSbcGCBWW9brEMNCgoCSGEkAAlPkip+GBr+5OUoWjRoiokJMShBndMTIxq166datKkiX397du31eHDhwPutnDKmxBCCAlQmIcycChWrJj6+eef5f9z5sxRX331lQjMd99912G7Tz/9VIRmoEELJSGEEEJIMvPhhx9KQA5KIKJKIFInYgpcj/ZGXu7x48cnWxC0v/OIO0NB6SVbz6+x/79mvpbShoRnlzbu9mVpt5xZ6vB6UEgm+z76NjVyN9JuQES+O9uESXv73L/SBodH2fexxd2SNvbaCYdjscU5/oKpU/wx+/9DIvJK26DSy9q40eek3XDgK4/Pdf3eL5SvLJmrnV96o01v7f6ARVPvkrZlB63c1dIfW6XacZHkQX8Px8fdTPT+95baRR62/3/Tse9Nx3FG/ywxY/PJhQ7v+/iYpItEOPenf3YZ0c81/tpRh2MzfiY543z8+nXSz1n/vDN7Tf98i4s+6/C32bXW+9Fbb+6Hvq3xWJLa1nlcd+N5078/wXS3pSlvzlOmaJT333//LZbJs2fPirh86KGH7K+PGDFCRUdH+y2NjzMTJkxQN29q7+/kgIKSEEIICVAYlBN4fpSvGwJzjHzwwQfSonoNrJj+xkpuS0/wy28TmGnnz58v6ldn48aNav369f7onhBCCCEkQ7Bnzx61aNGiZOkbFkr4bN53331iCf3vv//SjoVy+vTp6vnnnxdRmTt3btW/f39ZD5+A999/Xw0cOFBqgCPHEiGEEEL8a6G0Mm3NSjn+Z/r06T77OGLKe/HixVIx54EHHvD5GHLlyiVtzpw51SOPPKJGjRql4uLiVNu2bdXq1avt/pQIDkLuy1KlSqlUFZQoRo6M7maOnsi3BMfSGzduqDp16qgNGzaoMmXKWBmOEEIIIQZswTZZfMXKvkhv89FHH6lp06ZJ/egiRYqIH6AxBY4nnDp1SvTCkiVLRE9AMyCABVHRrpg3b54YrRDcEhkZKYYtVJ/x1xhI24Pk4tgedbKxT6tWrSTVD6at3fHOO+9IOUUrlCtXztL+qIgDQQpxGxWl+T+PGzdOrVq1SqrxfPvtt5LvEkFAQ4YMUbNnz1apOuU9cuRIuRlQuP/++69dERvp0aOHlBYaOnSolaEIIYQQkka4deuWWLswAwnRhXJ+zz33nGrZsqWaO3eux/0cPHhQ1apVSwTQzp07RYgVKlRI1mHq1wzoCRizRo8erQ4cOCAaBOsgKv0xxt69e6VM4YULF9S2bdukwsyWLVtEZGIfjOmO/v37S7Ly5s2bq8cee0w98cQTsnTs2FGEKQQwppz19c5Ljhw5VN26dZUVIIKnTp1qF5PXr1+XqW4c15gxY2R8HAfE5I4dO5Q/sGSh/Oeff9SmTZvUXXfdZT8BZ/STQakhQgghhAR+lPerr76qli9fLrOPupUPU6sLFiwQsQfhVbJkSbd9YAoW+8DSCfETEREh6yEUEZfRuXNnmY41Bqj88MMP6r333hPr5D333CPrKlSoIAauvn37qkaNGsl+VsaAq158fLyaOXOm1NcG+fLlk+hsnGtSFr3evXuLJRBWVCPwWXzwwQfV119/LVZCV/z2229SjtEKOE6jkQ/WSVhzK1WqlMiSe/z4ceUPgq0esC4mXYG5ehCISToJIYSQQBCUVhZvQT1oBOFWrFhRpo6NdO/eXaxhEF1J8d1334nlD4JPF24Ayb5h2UOKnS+//DLhXOPj1SuvvCJWtp49ezr01bVrV9kPYhAi0tcxwLJly1TZsmUdtgeY6s6TJ0+SFr3IyEg5TjM3waTEJLj33nvVTz/9pKwAMQmrMYBFFj6UuG4Q3s7HhKjyVBeU8Il0ZZIGMBcjPB4nAfMxIYQQQvxHfLDN8uItsM7BZ7JBgwaJXtOnamGphEXMHfDjA2b91KtXT9rJkyfb12FGFNPRCPKFxdBZxMH6Bmvbr7/+6vMYAEJy165diYQWBC3iQpBPMinqOAltAOtoUmISYIw///xTWWHw4MGqcePGYoGtXbu2BE5jmrtDhw72bdatW+fW7zRFBSV+gcAnAOZiZzDF3bBhQ7uvAU6OEEIIIYHNwoVaUn2zyGBYxhChjClmd6IIomnFihUu+6lSpYq0W7duVZcvX05yXOM+mIr3dQyAYBaIyZdeeslhe6TygWXT10o2hQoVkil7T9wJrFa16dSpk5o4caIY9mBZ/d///mcX1wDuAVjy5s0rluZUF5T169dXL7/8svgsYPobjqtYhwNs06aNWC/hVwlfBTjvEkIIIcR/xAdZnPIO8n5MCDCAqG4zEFQCENDiCgTy6lVbzPrR+4Cw2r59u0/j+jIGwLQwRNikSZMk0AeWyTNnzojv5h9//KHKly+vfGHgwIEyNY9+IPScwfQ7jHSfffaZateunbIKrJEw7qHfsWPHihVX54svvpD1mL5PE0E5AH4MMBsj9By/CnBgMIVDYCJ1AG4Gp7sJIYQQ/+PrtLVxf3DlyhWH9ZkyZZLFGQg0fSpYF2TOZM+ulfQ8d04r+WsGSg/qmPWj92HsR9/H03F9GQMUKFBA9Awi1qFtjh07Jtv++OOPktfRisAbPHiweu2118QdEFZT+GQixgQR5Hp9b4wPn8dAwy+lFxFhZaySQwghhJDAwTm3IqZ1kYfRGaNfZJYsWUz70jO+uKsbnVQ/xqwxej/6Pp6O68sYOvDTxBQx/EURSIMpcRRvQXlEs4w2nvLGG2+ITyNmd2FBdc5XiRlfRJPDbSDDCUrkNfIkx+TJkyfFdwBKHNPhvpqMCSGEEOLftEFHjx61p/kDZtZJEB4ebv+/Kz8/+E8Cs9zUnvaj92HsR9/H03F9GUMHU8UrV66UqeKnn35atW7dWvI3wlqJdEJWROW9994rC+JPEGiEXN0YHy6D1apVU4GKZUEJBQ9BCR8DmJdxUZyLmuOitWjRQi7Uo48+KrmYkKMKWeoJIYQQYsGHMsja/gBi0igoXYHveAg1iDGkBzIDCcQBpnNdgWldHfRjnH429mHsB/sg+trTcX0ZAyCYCEEtSI8EED0OcQnrISyW0DKepEVKCuggLGbgeJ3TFqV1LAXl6CeNiCiUWkQEEx7ILl26OCTlhOCEzwWcQJ999llR/gjYgYMqIYQQQgIDRDnrUcGukm+fPn1aWnfWtsqVK0tKQVf96H1AvOr5rqtWrerVuL6MAeMYLJKI/TD6XSJNImZZQ0NDxb/R3XS+P7BaejHgLJRQ93BkRWJMYzkmlF1av369WCYR8Q2TrjFsHw8kopzwcEB8Wi0xRAghhGTcKW8rQTne7wO3NURSo4yhM9AE8DeEdU2vZGMGgluQqxGVdtCPc5EU3bcQwb26pQ7jfvLJJ6bjGvfRI6R9GWP37t1iBdXFqxEEICOXI4QltnOVj3LVqlXKV+AWiIAg1B7PUIISlkdMbyNaCVnoixcvbg+/R5Z4FEjHzUdCTWefDJiQof4RzBNIgrJG7kb2/4eEa+ZzW9wtacMiNafmmvlaShsfp/2CCQnJlGifuNtazqvgcG2KIf62ZsKPvaaVQAoy7LPx8Hemx3L7opZUvkGll11uV69sX2k3HPjK63PV+127c7TD+maTEv6//GmVJqgzT7sHYGMnc98ff7BoauLKUEt/bGW6batPtA/5JS8mzEc1bzlL2tgrx6RdtfFlh/u0fu8X0tYtlVAFQn8W9Nf0PpYtfdRhPH298bWGVTX/5sxFtAS+0YdXmd5T0Kj6cGnXbHvT4Vnfen6NtLUKtpd280ktF5y37xcdvb+k0I8d3Dq73eG9tuXMUof+Iwpo52dEP0f9/ajvo2N2Pvq2zgSHZHZ5Xp6ez6Zj3ye5jX6M+rEZcf5c0Y9Jfz5CsyZM79Up/pjDZ4Jzf/o5658/RkIj8jkcrz6uJ8evo49n1n/tIg87HLfzOPo+3lxj/XPVHa7urRnOz77z+rSEzaIPJfb3lj59+ojLmplwQrJsgPQ3Rh9GM2AJhNhDP5hiNusHaXZ0EHWNco4IZoGLHQxWRgMX1uN1PWG5L2PofpXwlTQDFXSAu3Pr2rWrxI1kNCxNeSMTPqavhw8fLqZlZIDHlDeys+uvQWDChGzmwIqIKStKnhBCCCEpC0QVhBrSBDrnmkRENCrCGJN/w+IGwxHqSTuXaURy8Tlz5jhMIUPUzZo1S3TF448/bl+P6WbMbkJTGJN0gxkzZsh6GLIwC+rrGLBMYjZ148aN9sIsRiBOYel0lwz86aefFu2DaWtU6IEF1NMFgTmu0iL5E/iHfvPNNy79UVPcQomb6yrHJEzN0dHRbiPGMD2OZKGEEEII8Z74IJssvuLrvihYAnc2BNmi1CG+85Gz8eeffxaxZ6xMg+hoCDRMJSM3tQ5mOBEx3bRpU4mpgOCE0IMggzicN29eoiBfuMlBoCL5ePPmzUUArl69WnI7DhgwQOpzG/F2DBi/IIpRjAUzrxCdENDQK0ijBAGN5Obu6Nu3ryRhh2HNF5DuqESJEl7vh2l4HC+st5gxRt5LVxl10D8SqPfr10/iYHCNUtVCCWvk2rVrE63HTcLNhRMr/AH0bY3glwKcZJMyiRNCCCHEnLhg64svwOcQwg7Ty4hUhuhatmyZiEznqWWIPMxg9ujRI1E/sBBi6hkBMugDfomw0MF1zpUYQklBiDtkjUG+SJQqnD59uvroo49Mt/d2DERzQwDDwoj/o8oO/o9p7L/++stlZLZO/vz5JQDZVzB7++WXX3q1z6effiriesSIEerzzz+XKHRYUSEqDx48aLoPdBoMf4hcT3ULJUzJyM0EczFuGEC29++//16EJCK/9TqazuH6COSJi4sTX0pCCCGEpF4eSl+ASEScBBZ3dOvWTRZXQOTNnz/f43ERuf3cc8/J4inejgEx9t135vELntCqlblvvad07tzZ423hXvjCCy/INDuMdO3bt5fzRYAUrKmY8kc+Tfi+GoEug7HPuUpSqgjKQYMGiQ8k6l3qofm63wD8DIYNG2av4Y1SjLhAKLYO/wbsi31gUiaEEEIIyQjYbDaJFF+4cKE6cuSIiDqIPmgk50h0T3j//felT8wK//TTT1K90AjWwYqL2t0Q/7pe010X/YWlniAMYWmEvwEuDPwS4FAKUy+UL8yuzZo1k9B8CMj//vtPTNSIxMLJ48JZMQsTQgghGZnU8qEkvgfDdOrUSXwsjRV8MLP79ttviyUX1kRvaoZjeh4iccqUKYnEJICPJIx7qCMOH1T4uDr7pvoDy9IUDqy9evWSxQwcvA6mxXER4RuAOX040Loq7+RvYmNjxU8AAhiKHD4RcMpFigFCCCEkELHiB6nvT1KGixcvSm5OlLmE9kEEOAxrEI/QKFiP6Wvk0YR/KtwGPQH7QtcgStwVmAqHjymCbx566CHJF45ofH/iP1tnEkBEYv4eqhhRYSkJnGjh5wnl/vHHH0v0EyGEEEJISjFixAgJ7HnjjTfEoOYcWwIQTd67d2+JRkc+b0/AdDmCoZBQ3qxP5xyZKEn54IMPiqj0Jyny2wQh8HAYTQ1+/PFH1bBhQ5lqh0mZYpIQQkh6Id5Qz9unJbVPIAPx448/qq+++koi1F0JP1guEZfiTeT1yy+/LFPnyCvpCUi3hDyhsFTqidzThIVyzZo1YkKFYynCz3V/AB1EeyM3kjEnZUqBYu6Ycn/yySflFwEhhBCSnkCUdlwqRXkT77h165ZDVR53KZlgbfQU+GQiLyeqFyIwRw+Gdgem27GP1Wh0vwlK5ILSw/adhaQzxqiilAD5pqC+CxYsKAlYCSGEEEJSizx58risHGgE/pN6yWpPgZhE8M3UqVOlwo8nAc8IoobVFPXJU11QosSRbj5FwlKIN7MQ9M2bN3vsC+AvEM0EB9h3333XY8dWQgghJJDQp66t7E9ShsaNG4uBy5UegmEOfo0Qgy1atPC6fwQ+u0ru7gqMs2TJEpXqghLVbuAHsGjRIreKG1FNCINPKVDUHamMICSR3BNlkDDtDtWOrPhQ8hDBhBBCSCATF6QtVvYnKcOrr74q5ap///13mUFF+UPM3h4/flzt2bNH6o0jaAd+lMZa6MlNx44dZVY3VQUlAl2gppMy3wJcrJQCtTmh9BFRvn79erGkwtT822+/SQko+AzAedWVLwP8HLDo+CuLPCGEEEIyJkWKFJG659BOCFR2dgWEbkFJSNTjRqUeq6A/RH+7i3FBHAwq6vgDS4IS2dlREQdJzVHqxx1Q5SgMn1LBOACh96hVqXPvvfeKufmpp56SHJQQlnnz5k20/3vvvaeGDx+eIsdKCCGEBGLpReI9NWvWVDt27BBfR5R2hC66ceOG1CS///77JZ1Qvnz5LF9aFJJBaqCkjHkQmf6KcQm1mg4IFwVTyIUKFZKC5mYJN//88085uZSc8gaFCxdO9Bqy0KP8I6yOMC/3798/0TYoqj5w4ED739i2aNGiyXzUhBBCiHdwyjvwyJw5s/hJJmelQGS3gatfZGSk+G5iltZ5Nlm3YGK7VBeUdevWVWfOnJH/w4ybVtCnqFEf0xlkhof/JOpourKYwn/BrIJPcHBmFRyccMlscQnT4ka2nFkqbY3cjaQNCknoK/62dmxbz6+Rtm6pntLGXDmotdeOShsSnpCjql7ZvtKu3/uFtDXztdT6irup9XXgK2kb13zPvs/qLUMc9vGFtTvNo+OXP61SjTa9/5V20VTHeqcbO6VMxSUzGn2tZXJb00N7szao9LK0YQM+lLZ11832bWO7aZWjMi/Z4tCH830KiciTsM+14w6vxcdcNz2OkKgCLo/x5rH10tritJxjTe/5UtoVK/vYtwkOz+qwj/6MOlO7yMP2/2869r3Ds+5qHyP6M7/hznOr7+s8blhUMfu6uOjzd9qzDtsGh2gBd5kL1pL29rmEX+P6fQiNLCJtrYLaLEpIhDYrsfnkwkTHpr/mPI4znpyn/j7VPw/0v+V4C9RxuB/B4Y6fVeG5EtfzDcte2u0z07zNfPv/Q68UdrjW+rnWKf6YtPUrPJ/os0m/PvrY+vHq4+p9GY9V/zyLKNRY2ugTqx2uY1hUSYftjJ+bWYo2dbj/+r3Ujyk0IsFKox+L/rmob6PvGxZZNNGzpN8j42epjKNco4/jyf11Hsf5OU4pGJSTPilfvrwlV8EtW7aIgMQssrv64JgKz58/v0p1QYn63EioiZI+sE7CZ9HZdIrAnbNnzyaZVsifYBobFlFXvo/wYwApeUyEEEIIITDEufNrXL16tdq3b5+lC4WA5EuXLrkVk7qRbfz48akvKPv16yclFWEyzZIli8vt9u7dK6WBUopatWrJNPvOnTtNX9fTCJUrVy7FjokQQgjxN3FBQbJY2Z+kDCdOnFBPPPGE5JlMbl5//XUJPEb6RNQKdwdcE/2BJXdcKFtUoIGF0hWwUEIpIy9kSoEIKoDcSmYX6uDBg2IKhsMqIYQQEqhYKrtoMYcl8Y4ePXqoZcuWiVWyZMmSUq2mSZMmiRbEpPgjFdCYMWOS1F6wkiIQKE2UXkRpQ3f88ccf4l/pL5OqJ9SrV09yPC1YsEDNmDFD9eyp+f4A5FpCDihEeSMHFCGEEEJIcrNu3ToxZkEXIT+3K+CuZxZU7C2IGofegbg0qx0eFxentm/frq5fN/fLT3FBCVAiCHUnUVLICP5G+DtyKuEipqSonDZtmky1P//88xKOjyinCxcuyC+EGjVqqI8//jjFjoUQQghJDuItTnljf5IyVKhQQWJK3IlJPaDYmPLQF5B3u3PnzpKSKKVKY1sSlLD2oSj52rVr3W6Hk0Ei8ZQUlFDjcGzFTcFFRdQ2Eobi/3ogESGEEBLIMG1Q4DBq1Ciptw3jVq5cudxuazUXJVIfwvJYpkwZMaRhGt05bRCMfitWrJCZ3FQXlMg/ieAXiDOcPLKtO4efo4wQVDmSjKc0EJATJkyQhRBCCCEktWjZsqX64osvRDt9/vnnLrdDpT7ky7aim44ePSraDBrNrICLDlwC/ZX20ZKgXLx4sRoxYoQUOkfKoP/9739STgiKWGfYsGGijJMzgSchhBCSEdECa6xMefv1cIgb+vTpIzO2yBEJSyWSjTuDQOKtW7daLvncunVrGcedmNSnuzGbm+qCEidunOdHZvbJkydLSUYdTC8j7yNyITVr1sza0RJCCCHEDtMGBQ7nzp1Tv/zyi4hKlF9MTr9GxIk0bNhQ/fvvv0nmovzkk0/cWkxTRFBimhtRQiEhIfJ3tWrVxCKJpJ36/D+mnbHAfPvXX39ZPmBCCCGEkEDjjTfekOllzOoiy4yrYjCYpv72228tjVW8eHG1Zs0aMfB9+umndp3mDBKsT58+PfUFZdWqVSXIBabbypUrS9FzTHsjD+T3338vQhKJz5HME1HghBBCCPEfcSpIFiv7k5ShZs2aktj8nXfecbtd3759xaXQChUrVhRxiijvH3/80V7QxXmWGQZAVOfxB5YE5VtvvSUXCHWxobQRUYR5e6jdggULqqxZs0qWdr3uNyGEEEL8B/wnrflQUlCmFCNGjFCjR4+W6GrniGtndu/ebWmsNm3aqLFjx3q0bZpIG4T8jhs3bhRTKQJxdJPqlClT5ABnzpwpvgJINA7fSkIIIYT4jzgVLIuV/UnK8Oabb4qhDfmxkxKUmOG1wpAhQ2TaHAumv5E60RlYJletWiWFXtJEYnPUw/7oo48c1sG0iryTn332mfydLVs2y4XOCSGEEEICmUGDBkk+yscff1zSAsFdMDlAHAtyUSKJuru82zAGfvfdd34ZM1l/mkBIYoEKrlKlSnIORQghhGTYSjm+LpzyTjly5swp8SQoh4hZ3ObNm4s7IHJTouKgv0Edb0+KuCxZssQv46WIrRtRTbdv306JoQghhJAMQ7wKtryQlOG///5TkZGR6u6771ZjxoxRx48fF4vlTz/9JOkVEbCzcuVKr/tFre7kwNt+/VLLO6m8S7hg6YH4+JsqJDgy4e+4mw6vB932PhFpXPRZrb2tRcEHh2iRWJtPLrRv07DqUId9tpxZatrX6i1D7P+vX+F5aW+e1VI1bT2/xutjq1P8MWk3HtbM4a27bpZ28cxayh80mabVF13Vy3OH4EVT3efT8jcF/9sgbVjUGWmPFLg/0TZrejh+IIfn1BL7r3hSO68WtxKu1/HyR6UtMfeEtK0e0e7LkrmNpG3eZr60mYvUt+9ju31D2jbPHbvz93XTY42/sx1oXPM9aTMVrCnttd3zHO6lGas2vixtzXwtHZ5v/dkxPpPO6NvUyN0oyfUbDnzltg87IWH2/4ZmLXTnHK849BcWWVR7PZ92zYOz5rbvE3vpiNZePuYwbtNGrtNj6NfH+dl3R72yfaW9dWGnw3mERGgJhWsVbJ/ofdvq4RXSxpzRHO+Dw7KZjtu85Sz7PlnLd9DO5/w+h9dun9sjbUSphPrAa3eOdjjXZs2+cei3VZf10kbvWWTfJ0vxFtLaYrTnK/62ZjHJUqq1tDePrdP+LtPGvk/8Te1+xF05rh1DocbSrtn2psO4weFZ7fvY4rSI0vBidaTNdE67brHXtPsUnrOCdl4XE4ISwrKXdnwOYrRjs8Xd0tZHFnb4PDVed30b/X4Yt3FGv0f68+X8TJp9jjpv6/weIEQnd+6EzyeAYGaUr8YCcYmpcFgtEZ/Sq1cve8nEpEgqp6WveNuv1z9N9uzZo0aOHKlefPFFSQmEEkGuQEJNJNak/yQhhBDif6xMd1tNik78w969e9Xbb78tmgqBzNBMP//8s7gKtm/fXiyYgYBXFspJkyZJnknkLtJ57733ZEobwTlGEOkN0YkcSIClFwkhhBD/wijvwOH9999Xr776qv3vDRs2qA8++EAEI4rEhIaGqq5du8qsLgrFREdHqzlz5khCdESIIyWjWTwKtkP5RIhRf4J+k0VQosoNRCHyJxk5cOCA6tKli9SeBHA4feqpp9T8+fPl5JCPcurUqZITiRBCCCEkI/LWW2+p6tWrq/Pnz0u6RVTEgU6CXyVKVw8YMEAVLaq58YCIiAiZ9u7evbssjRs3luo3zpHhmC5v2rSpSm08FpTjx48XMdmiRQs5aczxw0w7fPhwEZtLly5VWbJkUd26dZNSPrhIcOhE9FKuXLmS9ywIIYSQDAgtlIHDrVu3VLt27eT/0EgFChSQnJT9+vVT2bNnd7kfclbWqlVL0vtAfzlHZSOYx1/JyVNEUCKB+UMPPSSWR53y5curli1bip/kCy+8IAIT0+FRUVFq3LhxcpKEEEIISR5ig0Jk8X1//06TEvdASMIgh5Q+sDp6ktYHoJy1rsWc+eor80DHlMbjoJyTJ0+KNdIZJDGHGRcBOBCTTZo0UX///TfFJCGEEEKIAVgYd+3apfr06eOxmNQTkIO0bKgL9sY58667zFO2NGvWTJxJP/zwQ7V8+XJVrFixRNt07tzZ2pESQgghxIF4FWSf9vZlwf4kZejUqZPU8ka6IG+ZNm2aOnv2rLgfBrygRGJyY3S3ETiUQkS+9NJLpvP4169fl0hwQgghhPiPWBVsefEV6ALkToT7G6ZxUeYPtaG95dSpU6pv376qVKlSqmTJkhLoi1gMd8ybN0/Vrl1b9qlatapklvH3GEaQcBw1rxEb8vLLL4vxzFvmzJkjGgnT3lu2bHFIB4Sk55gJ9iaPZVrDYx9KXADU7M6fP7/p6xCNI0aMSBS2DsvmH3/84XX4OSGEEELcE6dCZPGVOOWYucWbAJN7771XnT59WoJEYFSaO3euxFV8++236pFHHvGon4MHD0r0MmIxdu7cKdPAEGwIQkEqHIhVZ4YOHSqWul9++UVE7O7du+3udojf8McYOmfOnJEI7EOHDklkdoMGDZQV/vjjDxG2OCYIRPQPUKZ62LBh6tq1a2rixIkBGczsVR5KnKw74EtpBkRmWohAIoQQQoh1kE8RVjrkUtTd3CAiFyxYIFVeINZgCXQHci9iH1g6kV4QaXIApoURAAxXuc2bNztMEf/www+S/xo5HSEmQYUKFaTgCoRao0aNHFzsfBnDaDVs3bq1pOlZv369ZLKxwtq1ayVRuVkpaqRYRGLz3r17q5o1a8p4rgx4aRWvbN3wk0QZIDw8ni558uRJvqMnhBBCMjCxKsTy4i2w1k2YMEFVrFhR1amjldDUQeQyZiyHDEkoBewKpMHB1C8EX9asCeU5Q0JC1GOPPSYWR4gsHaQufOWVV8RA1bNnT4e+kBAc+w0cOFBEpK9jGKfIkT8bGgbT61bFJHj99dflGJDM/LfffjNNFYQ0QocPHxYrbLq1UCIZJ0zDxhvijYkXKp8QQggh/sOqH6Qv+86ePVtiKsymf+vWrSstLJVI4O3O7w9T48Csn3r16kk7efJk9cwzz8j/N23aJOkJEfGcL1++RLEclSpVEoGImI3777/fpzGAnkcbPpaYVkc2G3+wceNGtWjRIvuxmFlF9fNC6UUrwM0QVk5M83sTTW4Fj5+kDh06+CQmAZKhw5xLCCGEkMBm4cKF0iLAxRn4/hUuXFimdVEJxhUoy7xixQqX/eglBlGFDxX4khrXuI8eMOPLGAAlDjE9DasmRKq/KFSoUJI+mCgUA+BLaYW2bduKP+tzzz2nUgqPBSXm9a2gJ+UkhBBCiH+IvxOU4+uC/b1FL7VcpEgR09dz5Mgh7bZt21z2gdzVN2/edNmP3geshdu3b/dpXF/GAPDHBBBkiB2BOIMLH/xCEZjja83sokWLuo3kxrGibjem9J3LK3oLgo8A/DHTnKA01pf0BWc/C0IIIYRYI9YWYnkBV65ccVgQxe1K9OjWM12QOaP7Bp47d87lcSOnoo5ZP0b/Qr0ffR9Px/VlDIjRffv2iahbt26dJBL//fff1eLFi+WaoEzis88+q3xNat6pUyepve0MpvLhGqiLYfhSWgHCFFULkeooKSCcUzzKO6MTHJxZxcdpv3aMbD2/RtpaBdtLWzOfdnOCQzS/C1tcwhvTbH9jH3WKPyZtw6qJHXL1/oPDoxz63XQssfV33W4tdUKDSi8rXwkKyeTw9+KZtRJt0+hrLeXEmh7e++Gs6uW/yP/6MxNypK7rqj3WhY4tlrZ0Lu2X2uosA7zu92Q5zR/IHfo4J4pofsLhpRtJW+78LGn/6/+oYWvth1n9Ax9Km/2+Nxz6Wraoo7T31E9IfRHcS/tgWXTnc6F5S83Hps2zh6WN+W+dtKGFE37RZs6qpZyIOaWd+8bD3zmMU7dUT4dnCdw8q021hEVqx7jlzj7686w/u/qzCmrkbuSwTm/1ffTWF1as7JPoeMOya1GjcdHaF0WmPFW1DUK0ex6cI8G1JjxrTod+mtQZLW2W+t2kbfNujLSLhib2Y9LH0d8/a3dq+5qRuVAdh2PSj1U/tqCQMIfx5Ria3Ln+ObQozhVTzYtGhFdtbv+/7ao2JReSs5D2923tfqxZqj1fbUYlvAfa9D2gHcNdLbRjyKM9My3aaXnv/vj1AW275wxWmxtXpYm/el7a0NyltfFya9uE5i6e6HOg7ZCEaUJw+6+l0jZvo5XozVTnPu1YLyQIi9v71mvnXl6bbsxyvpm0sVeOadvGafclPGeFhOuQX3u2469r1zj+tuZ+FRet9RueU6sicvvCv/Z9Np9c6PC5GRKR1+FzMzb6TKJn1PkzT3++nf82vgeM/9f/hiBzV5s5LeJsNHrzzTdNM7fAL1LHVaAKak8D3TpoRlL96H0Y+9H38XRcX8ZAvkmA3JbGYB1EkiMqHAVeYKWEj6Zel9tT2rdvL1Pa5cqVE8shrJUIDEI0OSykCDoC//vf/9Tjjz+urABBmjdvXukLVQ5d+bIixsWXnJpmUFASQgghAQqCakIs5KGMVVpE9NGjR8WipZMpk6O41jEGeLia+tXT4rjLpZhUP8bUOno/+j6ejuvLGMeOaT9s4AfqDIQgYkKQdxOVa7wVlHqkNwJlkNcbgU0IcNIDdLAeVswHH3xQWQXCFxZVRNzDJ9Qs4w58TI1WXKtQUBJCCCEBCtL+WBOU2r4Qk0ZB6QoILwg1iDGIFTMuXbokrbu0gQUKFLD/H/04W3T1Poz9YB/UwfZ0XF/GgHUZuLoWsDJCUOI4fKV58+aywCJ54cIFEZawIBqjvjHtrtfv9gXk4zRaWN0F+fgrT7jvuQYIIYQQkqFA/kbknwQnTpww3QbVc0C1atVc9oOgE13ImPWj9wHxCmubPg3tzbi+jIFpYqOwdEYP7vE1MMd5yh1CFsLXKCZjYmLsEei+glLYSOKONEXwz0RlHudl//79Yr30FxSUhBBCSIASZzGpuS9lG5Hw2xhJbATBLUjBgzSDeiUbM3LmzGkP1jXrBxY6gJKKespCd+Ma99Gnon0ZA5Hc7sbQc1Ji+ju5+PXXX02r6XgDfD7hh9mqVSups168ePFECyoZYRvURE8zgtLXQueEEEII8Z1YW6jlxVv69Okj1rVVq1Yleg2R0QCJwZNKqK1HILvrBxVwjNHIEEFIB+Ts+4fpa6zH63rCcl/GgADDtD6q1ZhNa8OyBx5++GGVHJw7d04NGjTIL3198cUXHm2HBOhpQlAiQqhs2bLyKwAF1HX0QuddunQRHwFCCCGEBH7pRXznQ6jt2LEjUa7Jr7/+WqZaESWugyhiVNAZNy4he4VephFTu3PmzHGICId1btasWTJlbYx2Rvln1PGG76FeAUdnxowZsv6dd96RaXlfx4ClUj92lEh0BueH/owi1B179uyRvJYvvvii+DS6SscEIIgRmKNbTv0BgoxeeOEF8ceEwMcUe7NmzSRS3aoV1K+CUi90fuDAgUT+BHqhc9wchMfrvgqEEEIICWxGjx4t3+0oWQijETQABCNKBsIvz1iZZsyYMVJ28LXXXnPoA36DM2fOlKAU1OBGi8hjFFKBOEQNbefyhDBS9e3bV0QayiwClIVG34iQRhoeq2Mg5Q6EKMQjzgnnhv1QXxvR8CgrCXGbFJMmTRK/TwjU8ePHiwhH5R3M4DozZcoUmXqGvyPwNdel89Q5xvv0009Fp+EccK+QGgn9Q0zryeJTPcpbL3SOGwvFblbiBzfmq6++khthVoCdEEIIIb6BxOTBd5KT+7q/L+C7H5ZH6AD4HWIKHAIF9bb14BkdiDxMOSNJuDPYB1PPgwcPFssnxB0SfCMvo3O9bp2JEyfKfo8++qhY/PLnzy8iFiWizfBlDOgWBPdAjMHqCcte48aNZR+MlxR//fWXiDY9t6QOhB1EsS7k4G/61FNPSY5LCFcY46ZOnWr3F/UVTNdjWh5WSMwgw/iHwCP4lUJYQhhDcMLfFPfMVfWhFBOUKVnonBBCCCGJ81AiE6WV/X0Frm2ffPKJLO7o1q2bLK6AyIOg8hREbsOA5U2dam/HgEBGpDQWXxg/fryISeSthOUUgTGwPiLJOMTm0qVLJdk6rsuRI0dETMLvFH6P7vJ3esqIESMkYh1CG1PcZsBNcezYsTK17+yOkOKCMiULnRNCCCGEBAIbN25UDz30kIOILV++vAQWwU8Sfo0QmLAWIuclBJ2ZBddXVqxYIRbIGjVquN0OlXTuvvtuv4xpSVDqhc5hok3uQueEEEIIcSTOx0jthP21SjnEv5w8edJeBcc57RBKWurT80hZBCtisWLF/Dp+ZGRkkmISQJ+dOaOVIU3VoJyULHROCCGEkMQ+kFYX4n+io6PtydKdwRQ0gno+/PBD8UM1E5OdO3e2ND6qAnkyM4ypeVdlNlNUUMLJs23btpLgEypbL3SOyC9cyDVr1vit0DkhhBBCSCBw+/Ztmc52ZT2EiIR/plnZQ5SJxHS1FWDs69Wrl0tRiXRGCBpC5Ls/aof7pZZ3ShU6J4QQQogjcSpUBVv4Ko9TnPJODmw2m+giVxHhEI0InHFOuQjLJvJ7o7UC8l4iKh2uiagbXqJECRGvmFGGmES0OkB0N1wT04Sg9LTQOSGEEEL8C6asg1IhbRBJmmHDhrl9Hb6UZkBkmlkuvQG+mosXL1b9+/eXBO5A71MXsfXr1xcjIFIJpRlB6Vzo3AwkCO3Ro4c/hyOEEEIISZOEhoZK6kRPkqDrIOm6c1lJX4FQRFJ3zCSjRW5K9I8URvfff7/lXJfJKihdgRNAUE6gC8r4+JsqLDQy4e+4hDJORoJCHB1cbXEJpZZCwrNLWzNfS9M+wrKXlPbPv9+1r2tQ6WVpN59cKG3dUj2l3Xj4O4d9axdJqC0aEpFX2rho3x9Mfd/GNd+TNjg8q7SZayQkj13zWXFp68zTznFjJ8dzbzM8wWy/6M0IaZtM034dRZzU/EsWDdUs2fVnan+v65r0Y1lp8UVpd7bWflllO57419yJIq3v/E9vXVNol5be6kRF79Mn6OO0HXZVW1G1ojT/5U6c2eDbuMbSRlbRrunvox1/gLUcp12bzJXvta+7nklLjNtmuHaN42OuSxt7SJuy0AnKliPh/2XKSpspt5aBoWWHJdIu/bGVtu+1Y9KGZS/t8vmtVbC9tFvOLJW2Ru5Gibbdel7zk9bRtwmN0PLPxkafSbSd/uzr/TrT9B6tAMKKlX0SvYdCMmv52YLDo6SNu3leO+Yw7ZhtcQnTd0GVq2n9Nfpc2sxlmkp7u4J2TXbfo93z5i0TqlYsW/qodl2iNCf54MzaNW1SZ7S0qzZq70Uj4YW1cWIu7nc4xszltfO03U78OWHLor0XTt+jjdN6jHaPg0/eKVN7Z3bnTJOEz5vch7T39JIXtWe9+URtfZt3YxzeRxqlHPpd9JLmLl9psfb8lV57VOuzaUJS51xbsmnHUFLb92wV7VrmPqQd6+UiWpm2gv9tsO+T554KDudVKKyt9p8s2v24WkQ71sj9mROuVyYtJ96VCto22WO0Zz1k3w5p468nLtUbFKYdQ0iUNn0Ye06rpxx6U9s2rKD2Xgs+ujLRvvpnoX5P9WdJfzaNz6H+zDujP79m74HUJtYWbNFCabkCMzGhevXqUsEHCeC9BVPeCGq2AiK39TzgiGnB9LoZO3fulGo6KSYoUQjeeZ7fU2JiYiQfE/NQEkIIIf73oQyy5EOZInalDEeHDh18EpMAydBdpWP0lEaNGpmWeDTLyIN63/6wVnr0JO3fv1+Utq+iElj1ByCEEEKII3EWfSixP/E/vXv3trT/999/b2l/T/UagqYhYFNMUCK0/N9//5XwcvhIeuMPAAslanh+++23Vo6TEEIIISQgKFq0qKX9UX/bG9auXSvlHHUuXrxoGkXuXHwGNc43b96s/IFHyhD1JXGgr776qk+DoF6k8UQJIYQQYh2J0maUd4anfv366sSJE5LbElPY4M0333Q7a6yLTRgNU0xQhoSESEZ3K+gnSAghhBD/lV4MslR6kT6U6YGgoCBJZg7fyfvuu08dOnRIisq42z4iIkICctq1a+eXYwj1poyPFRYuXChh6oQQQgghxP8UKFBA/f777+qhhx5ya6FMDlLkpwkyvnfv3l1dunQpJYYjhBBCMgSc8ibOINZlxowZKqXxSFCOHDlSzZkzR3wou3Xr5lU6IQTlbNq0SV29eidHXyryyy+/iJV02rRpqmdPLZcjIYQQEqjE24ItRWpjf5L+KF68uATdwFqJAJ9ChQo5FJpBJZ2HH37YrxUNPRKUqEcJ6+Jnn33mICi9SSeU2mmDzp07p5566qlUPQZCCCGEEGdQxaZMmTIqPDxc+QNotiZNmkji8nvvvVcMajpPPPGE+uKLL1S1atXU9OnTVa1atVJOUKIO5DPPPCP5ioxg3T///CNRRXnz5jVVurdv31bLly+XepGpSb9+/ZhcnRBCSLpCgmoYlBMwjBw5Uo0ePVoiq999N6Ei3vXr18ViWLNmTfXaa69ZFpZIGQR9Bu6+++5EBj7oNxjakIMSaYPKltWqqyW7oLxy5YpEDH3wwQdq0KBBDumEFi1apIYMGeJ2f1gGly1bplIL5MA8ffq0OKl+8803qXYchBBCiD+R6W4mNg8IZs2apd544w27RdJI7dq11YIFCyRCu23btqKtrExH//jjj+r9998Xa2T+/FrJUjNthuMZOnSomjt3rrKKR84To0aNktRBb7/9tsN6nCxe8wSYXVOD48ePy8WCz0BwMH1FCCGEEJLyfPTRRzK9/N5776kJEyYkeh2aCiJwxYoVDtZLX4iPjxcDoCsxaczes2TJEuUPPFJYu3fvFrWLaWMjqJzj7mCNbNmyRaVW+SOEzpcsWTJVxieEEEKS00JpdSEpw9GjR6VyIAKcCxcubLpN5cqVpf3qq68sjZUlSxYJinbHDz/84NcYF48EJU7QLPGl0ckzKfyVid0bJk6cKIk7va2peevWLZnmNy6EEEJIWiPeFmJ5ISlDVFSURFe7A2WuwalTpyyN9cADD6iXX37Z5euYUu/fv7+IyWbNmil/4JEPZdOmTaVOZIMGDXwaZM+ePerIkSMqJdm3b59U91m/fr3X+8IcPXz48GQ5LkIIIcRfxCHtjyUfSrqCpRSVK1dWixcvVq1bt3aZs1uvblOhQgVLYw0ePFj8MqtUqSJGNUSQx8XFSXYepIFEIA4y9GTLls3y9LpXghLm2bp164oPYu7cuSX6CKoW/onNmzd3uy/yT8J/EieSUsB3oEePHuqTTz5R+fLl83p/BBlhOl8HFkqrhd4JIYQQknEZOnSoatOmjWgq5PHOlSuXrD9//ryIPPhYHjhwQPTVgAEDLFtD4Rv5yCOPSCYe47S2nuqxWLFiEihkVbx6JShz5sypVq5cKSeIOXekAtKB86gnpGQeSkSj4wLB5OsLmTJlksWM+LibLvfbfHKhtLUKtpfWFndL2qCQhL6Cw6Ok3Xj4O4d99X0iyz2cqN+Yywcc/g6LcvQHrVtKS9K+6dj39nX1yvZNtC4pauRuJG220g86HKvOynXPJ9qnTV/t2DZ+UUr7e4R2zote18456GbCs6JUhPy7qpf+LDhGsF3Kr1dSymNfV+nSdO1Y1neQdkdbzYl4Z+ucDvsuHpTwC/3G2obSZmnwp9vzLbhvrf3/Jys6Wt+L3rmXURHntfFyPOGynxJnND+UQyO161Z453ZpO8bMkXbtsYRfoydLrpb2q4bmuVuXPq9dm7avJlyDMyXOSJsjq3bO2beXljYom7bN4q81n5uW4xL6DLmh/YALCtNST4TUbSpt85azHO7t+r1fJHqO9Nfib19xeDa3nl8jbc18Le376M+2/uzrRBTSruf1Q787PFsgS+EmDtvq/eqsWNlHO9Y28xONExSinU94Lu0DMCSz9oEclLeAtmFkFvs+8Vm0j7cVa56RtlkzLcPDfw+clbZglDZrsmyp9l4BLdr9JG2mu1poK+JitW2mPiptq0e0Yw0KS5i2CqpcTTumk9pUVWg+Lf1GTOPq0i5/Wtuu0dfx9n0u59cKPeRoMlXaAzk7Sxt1TrvHV/Jc1K5foYT3fq0HtM+MWt9/JO2pBo6fC0/Hf2r///EYzbf9eBXtPTvU1l/arA2090aJsHPSbsuekAoux0HtObqRT3sGbzXVUr3t/U+7dzER16W9v8zX9n0WZtXK6cZf1+5DniN1tXHLa9N1xbZrx3G7oPbeByebaPfwevb90obEaNcra5ba2t8XL2t9nteeexB7XEt/ElagjrTB0XfckLS3pwrOX0K7BzkrJPoMNH7+mv2tP9/G14JDHKcljc9vWgNT1kHxVhKbc8o7pahZs6b6+OOP1ZNPPikWxBw5coixTS/8ogs9TFUjOtsqEIwbNmwQ98Rff/1VHT58WAxuRYoUkZln1P52pXWStfRiwYIFRckiVxIU9IULFyTJOVLyuAIX59q1a2r+/PmSPDMl+Pvvv8WZFdV5CCGEkPSMCEJLlXIoKFOS7t27yzQ08lFi+hsaCcC3smHDhjI7ikTk/gSpiLCkuVreWbNmlYsBEPByzz33JLkPAnoWLnS0YCQXY8eOFZ9NmHtd0atXL1kwLW41kooQQgghxFOqV6+u5s2bJ9ZCTHejRf1tpGf0NzAAIr/lmTNnJCURwIzzyZMnZRYX0eD+wpI37ltvveXZIMHBKSbc4DNZvnx500UXmQUKFJC/YXUlhBBCAhXU4ra6kNQhODhYqgwi/aKzmPz5558t949qOdA6r7zyipo2bZp9PQyByGaDKXgEXKeahdKIsa53UpilHUoOEKGNxYyePXtKgnO8jv8TQgghgYzNFiKLlf1J2iI6OlqmxlGP21cgIJGD2xWYoUUFwZYtW6rVq1eLuExVQWn0lUSwDqa1kR4IlkBMi3fu3Fnddddd/hiCEEIIISTNM3LkSInaRjS30fCGyG498MYVSEaOGBA9UMdXkOUGU+uTJ0+WdEX4vzMoR43goGHDhqnffvtNpbqgRI1vRApt3bpV/tYv1vfffy+lGnEx4deISHFCCCGE+I94RHhbifK2sC8x56OPPhLr4meffeYgKJEDEtbApESlPzLjwHcS8SSFChVy2Z9eK/zPP91nREkRQXnx4kWZi0c5IYSeI/E5LJIQj7GxsbJ+6dKlMt29fPnyJDPEE0IIIcRzbLZgWXzFyr7EnFmzZqlnnnlGPfhgQlougHX//POP5IWE76Qu6IwgLSP00uzZWtouXylRooRdTLqrlqP7cqa6oITDJyKF3njjDclRqRcaNwLHT2RpHzdunDiGpiYIDGJUNyGEEEKSiytXrsjsLXJiDxo0yL6+Y8eOIuJQPMUdTz31lFq2bJmlY4Db4bp161T9+vVNXz948KD4WMJy6WsVRGcsydIff/xRBBqivc3EJIDlctKkSZbVNiGEEEIciY8PtrwQ/zJq1CiJ2obbnxFYJPGaJ6DCoBXgF4npdqQngmHPKHanTJmi6tWrJ6mEQkND3QbveIOlJwkH2bVrV49yV16+rFU/IIQQQog/p7xDLCwUlP5m9+7dYnDr16+fw3okLUeKIE/YsmWLx+Mh8MaZihUrqokTJ8o0Owx+8N9EqkSUe+zbt686e/asaLMZM2ZIaW1/YOlJQiJOJORMCvgDWI1YIoQQQogTEIRWF+JXKleubJoqESUQPeXZZ5/1eFvMEp86pZU7NYK64f/995+4J7Zo0ULlzp1blSlTRjVp0kS9/vrrInxR69tfWHqSGjdurEaPHu3ydUQyIXQeB4y6kYQQQggh6ZmmTZtaShiO6GykYPQUxLLUqFFDosqRw9IILJLw40QtbwQEQUTCyDd8+HBVuHBh5U8sBeUgxxKSYf7++++SzwhRRXDwPH78uFwQiEmcKPwo/TVHTwghhBANW3ywLL5iZV/iWhvVrVtXoqdhFQwPD7dro+bNm7u9bJjNhf9kXFycV5f37rvvVl988YV67bXX1BNPPCFT3SmdB9ySoCxSpIio3kcffVS98MILifIcwUKZI0cOCaHHfD4hhBBC/IjFPJRW9kWKG+RcRFUWpAqEJsD0KqZUvQHTtTA6LVmyRHRDnTp11IcffqiKFSvmch8Em6A2NWphR0ZGqueff149+eSTfh3DyLFjxyRyukOHDklmi8mZM6fUy0b2GxR9wXXSWbFihUfjeZOH8t5775XCMgBWSARCN2zYUFWtWlWmzh9++GEJvkluLP80gYVyx44d6tNPP5XQcwhIqHEoY6h0mFdbt27tn6MlhBBCSKqDoNy2bduqb775RkQagj6ee+45KeU3d+5cj/tB+ppatWpJInBY5vbt2yf5E7EOM51mDB06VPXq1Utc7pDAG7OhWAdR6a8xjECAIv2hN6UQCxYsKMY0CN7t27fLNDPGROtqQaqgn376ScoieoOx3DT8N5GmEdZQWCrHjBkjQh/X5/Dhwyo5sSRZMVe/fv16UcJQwd44kRJCCCHEIlYDa3zcFwYjiKANGzbYrXyIl1iwYIGIPYi1kiVLuu0D07rYBxa8qVOnqoiICFkPoTh//nwp37x582aHBOCw+EFAwTqJwiqgQoUKUu4Q0cuNGjWS/ayM4Qx8E5HT0ReyZs0qlk2AsfVjdgcCenSLoyfAEukMxoIIxvLXX3/JdHi1atVEryH6vH379par8fhVUOLXyZo1a6Q+JUys6Z01hxare0omRG5tPb/GdDtbXELOJxAcHmX/f2ik5gRbv4L2Syo8ZxlpN5/UHp576o+TtlH14fZ9YqPPSFuvbF9pM+WpJG2N3I2kDYssmugYgsOzOWzj6lgd9gnRKhkFh0c6rA8K0d5ozdvMl3bZoo4u+wi6cVPatkO0Ni5/wrm3+kQrN/Vfo33SRlzVcpfubpZPuzYx2jiNvk7IHLCzxxPStll7XdoSuQ5IW+Cgds4VOw2U9veT99v3+ehOBoRV8dr1WvCfNg2Sq8C/Wp85tD5PlklI5lrwsJZEtnEhrXLA0YLvO5zXPVO0Y2/YJ6GM1ozTj0kbc0s7x9LntF/ltiitzOjGHdo4uUptSHSdjlU5f+d/eRzWN43+UNpMFxIqLITEav3ditCmTZZ87xjg1qa3dl7X2mjPEsi+X2vjjmq/vm2lC0gbVqyatKHH1jo8UyCiUD3tfK5ozuChkUWkjb12TNpaBdtLGxSSyb6P/tzq6M9Zs2bfSBsfpz0HRmIuH0y0zti/3mdQmPbBrx2LVvEhNGcJhzYkh7bellN73m0hCR+QwTc1H6S2Ay9o++TRvtyK5fhL2nVZtfdg25fPJeyTNZfWz03teQsuou3T5t0YaZfM1d5PbV+9aN/nVBXtvhQ43VLa6CratT5TUuu3zjUtB++Zu+6171OpmnZ9dl/VXIFiymjH1LHRNGlnXdae5+BtCfs8k32Ttk0hLZrzgSpjpa0SpL0nql9JsJ7cvPPJ3itHd2kPxWnXaXK0NlWX/Zw2zdm6QHn7PseraaLgQpl/pH0ju3aMIyIrS9uy/HRpu9zUjgOsytJQG6fw59L+sFn7jAirtlg7/o3a++VgrRP2fbJUWqr9Z7/2/jtV+qS0kblyaO0F7T2RdUNCcEFIbu1+x53SHuzQEtoXaMiZXdoG+fNKExQSbt8nNKt2zvEx5hlGQsKzJ3qeQyLymn6GK5PnOCNPeSNp94QJE8SVDVPHRrp3766+++47Sd4NC507sB3S48AYBeGlgxyOjz32mCQG//LLL8UfUA41Pl4KpEAI9ezZ06EvpDBEP0jNgwTi6MOXMZzZu3evbAPfxKQSknsSje0J8L30ZxEW3b8SIhoWZeSohDX56aefFv3maSqjZJ3y1hNvYtqbEEIIIekfFCqBz6RZhRU9pyEslZjudce3334rrVk/SLztnGNx06ZNIvBKly6t8uXTDBE68KOsVKmSTPUitsPXMYzAuonpZ/iJFiig/VC0QjdDXe+kMEs7ZJVs2bKJCyIy9CBgGqmDYF3u0qVL6gtKlFyMiooSlZsU8KsghBBCiB+x3bFQ+rpgfy/Rp2NLlSqV6DWkqUE6Gkwx//nnny77uHHjhj1AxawffZp469at9sIo7sY17oOpeF/HMIJpdeRthMUzpSlRQrPK+4vFixfLNDfcAzCFHxMTI9P8CKqG+0KqT3nDARYFzv/3v/9JTiOEx5vxxx9/2G8wIYQQQvxEfJBSVlL/YH8vgQADCPYwA8G5sBRu27ZNPfDAA6bb/Pvvv+rmzZsu+0EfekAMgloQOe7JuADj+jqGDv5G9Dr8K71lx44dEqgE/0zjuKtWrUpyXwg9iOCjR48qq0BQf/3112r8+PH24COcK6a4McWPxV/T3ZYFJSK5Eel1/fp1NX36dKmcY3ZCKPFDCCGEkLQJajwbQf5oLM5AoF27ds1BkDmDUn/g3LkE/2RnjLrArB+9D2M/+j6ejuvLGADWVUx1IzbEuI2ntGrVSsb++eefHYxpmPI+cSLBn9hfwDfT6J+JaG6ISAQhwfIKEan7UiLFI6yS7oKQUkVQIpoKzqw6+kNmhr+jiQghhJCMTlB8iCxW9gdFizoGdyJno1kQidEvMkuWLC6DSoBuHTQjqX70Poz96Pt4Oq4vY+jufEhA3qxZM+UL9913nwQkOftBIgDm7bffVmXLlpXZXTNRBzELy6rZFLwrMFanTp2kzCIskvAhRQAThCSCj1B4BkISEd7JiSVB+dJLL6mZM2dKGD/8E8wSZ+Kk4EfhbV4lQgghhLgnyBYii6/o+2KKFTEROmbWSYA80zq65csZPZE3/CldkVQ/xmTgej/6Pp6O68sYKJkIQbZx40blK1OmTJHFGcSbILAoqZRAZ86cceknagaEJFICGc8VydWfeuop1b9//0Q/FtKkoIRz5+OPPy7mXXcgFxUSnxNCCCHEj8B/0pIPpbYvxKRRULoCwgtCDWIM7m5m6AnAzdzgdIxR0+jHeWrZmERc7wf77Nq1y+NxvR0D26DazowZM1TmzFoaPX9SqFAhyZWZFIhgR0Jyb9AFM1I5Ib4F6Zv0nJspheVKOcht5AlIgE4IIYSQwAVTqHopZVf+gKdPn5bWaDVzBhVddFc4s370PvTKe8YE3p6O6+0Y33//vUw3IxUi9jMuSNYOMKWMv32Nwn7ARZCSM54ITyOYzkYkN0ovwhKa0mLSJ0GJcHPcJCQIRTg9fCwQmEMIIYSQ1PGhtLJ4S5s2bRxyURtBcAv8/6AR3FWFwZSsnhTdrB+URwSIvNYTkrsb17iP7rvo7RjIZVm+fHnTRbd2woqLv5EL0xfOnDmjPvnkExF+RhBRrtcm9xZoMpRtTO30jF4JSihmpAiCgkfZRdTQRCF45DaCryQhhBBCUo6guBDLi7cguAQBLWZpcPQShcjdaPRhNEPPYe2uH1TA0YFgggsdNIhz9hhMX2M9XtcTlns7BoJXdu/ebbro9bL1bZAO0VtOnDghkdaIP8FiBBZQWGBhHf3ll1+86hfpf5IjajvZBOXSpUslmzzm6fGQ4KR1p1GExUNdE0IIISR9gyhlCDXkW9RzPupgShjTrYgS14FGQAWdceO00sI68PNDcvE5c+Y4RFnDPxORy7C8IU5DB4G/EHYwYOkVcHTg94j177zzjr3soi9jJCdvvPGGiEpcH7Op73vvvVeSjCNi25v8lygrmRbwWFDqdSWRvwgJSxGpBHMxVD8SY+JmEUIIISTlCI4Ptrz4AupCw7AE69iFCxfE2ATBiNyLyEttjFJGgAmiplEP2wisasgUgzKOqMGNFrmre/fuLeJw3rx5iSxvKBOI2dKRI0eqv//+W9atXr1a+h4wYIDU57Y6RnKxdOlS0UrI+YnoazOgsSB2UW870PA4yhsPA/wGUFjcqP7hCDpx4kT14osvJtcxEkIIIcSEoPhgi3kofROU8DmE5RH1oGvVqiVT4LD2wdikB8/oQOTB+PTEE08k6gf7YOp58ODBYvmEuEO9aVSqca7XrQPNgf0gvhDDAaMWRGyHDh1Mt/dljOQgNDRUrI/u0MXtmjVrVLoVlPBXgFnVKCZ14ACblKDElLgeJUUIIYSQwCZbtmwSYILFHagQg8UVEHnz58/3eFxEWT/33HOyeIq3YzjTs2dPWawQGRkpqYn0ICMzIIxBakRpW8XjnyZXr151qeShqJNKnDl06FDvj44QQgghLgmywUJpYbFZzh5IPKRr165iWMOUuzNxcXGShhHBOhDMCHZOtxZK+BrAmdQsmvvixYsiKOFD4ZyNHuUY4TyLUHlCCCGE+I/g+BBZfMbKvsQrXnjhBUlRBP9S+IIi9SKE5P79+6XiIDQWNFTBggXVu+++G3BXN9RbJ1wsrkDEVHqmUYnW6u8LSSdoD40sIm3stWN3/i5sfy08Zxlp429rdc+DQhzTKsTf1ioArNmWECGnlPb/+hWelzYu+qK0IeFa1v/wnBWkrZG7kX2PTLkqOfRbq6D2a2fzSdcln0Ii8t75T5jD38HhkdJGH14pbYv7EkzxYVW02qAtx2k/JEKy3zHlHzkuzY1K2r7gdIlT0uY/VEzaE2X3S1vizFpp8127V9pj9/5k36fMmtrSlsxVSNry1b6T9u+82rnOO6hFwh0vmlARYU9IQWmbxGl5vn7Orv2YKRFxUBv3v/rSriqd8Ms8KES7xnXCtFxlVzZr5/VMdW3bA+21mq7NgxJKdQUHx0mb7ZCW5PfVJpoz+O07b6t3LoyV9qkcCe+Lgoe1ZyOonPbDrNipaGkLRB6R9ugpbdyyDbTnBFwqpaW7yHFAv6fZlBmX8mnPBYgP0Z6NHHu0ihH2n3lZtH3X7daiLWsXeTjhGoQ5TsPoz2pctGN6DltcQt7Zmvm0vGdbzix1eAb15y84RKs2ER+XEF258bB2D3X0fbaed/QZir+eOB9bSG7t2QnKrB1r/HntOVMhWvLiA/W1ZwwU2K89B8H5tef4cgvtuQ2K2y1tke27pC1fUrt/0k1+7X4H/fufw7jHamnv17YvaOfx+1itb1BmjXYMtoL5pb2eS7s+2erOlrZCxF5pT2RKqAsc6/TR+3wBrUBEnWtaouWNd57VTXkTkjGX3a99VmQq/6e0n36ivR//6qnd0yJnEgILfiqvnWuOCsuk7WzTrm3R/lrevZz3aUmZS3bR3oOgUqsB0jaM2yNt3TsvjYg6J+2T0dq4YdpjL1w9UVna+mHalOfYJtp4A3NoQZoftddeD7+WI2GfWzm1ax2rHW9MZs1aExemfVacKaG9X4tf1O41CL5wp+LKSe162K5qFU7C8pSTNuiW9r4MidD6lm3itHXhecpr/V8/4/B5phMUkinR//XW+KwbMX7W6s+tq+eYEGM5SyQfR0nE8ePH25OuA90Yh7yZiFhHVZ10LShd1c/0BOOFI4QQQoh19KlrK/uTlCN79uwS6Y3E5qgZfvjwYZn5LVKkiGratKkEOgcqXglK5J1CFFWWLFk83gcOqLh4iA4nhBBCiP9AYvJgH5KT69gs7Et8p3LlyrKkJ0K9UdWff/65T4O0bdtWLViwwKd9CSGEEGKOlVySwEYLZYqzcuVKyX+J/J16gnakYEJ6RqRWgg9luhaUVjKxIz+VN+H9hBBCCCHpCZvNpp588kl7oZjcuXPbX2vWrJm4BmLK+4MPPkgyX2VaxOOfNShnZAWr+xNCCCHEEUspgyz6XxLvGDNmjOTkhnBEMnbnvN7woUTpRSRsR1WdQINPEiGEEBKgBMcFiw+l7wtlQEoxefJkqdCD9EBYcuRIyH6gg9cRpDN8+HCVroNyCCGEEEKI95w6dUpt2LDBLiTNst8gLyX466+/Au4SU1ASQgghAQqDcgKHEiVKmFoljegBzOm69CIhhBBC0qCgjLOw0Icyxahbt6765ZdfXL6+efNmNWLECLFctmjRQgUatFASQgghhCQzb7zxhmrUqJHavXu3evhhrUrZ7du31Z49e9Ts2bPVxx9/rKKjo1VkZKR6++23A+5+UFASQgghAQor5QQORYoUkSlt1PFGNDfSCBmntvU63hCX5ctrJUMDCQpKQgghJEAJjguSxVdsFvYl3lOjRg21a9cuEZZIZn7kyBEVGxsrQrJJkyaSMigQ/ScBBSUhhBBCSEoJr9BQ9cgjj8iSnqCgJIQQQgIURnkHJps2bVJbtmxRly5dUtmyZVN33XWXVMnJlCmTClQoKAkhhJAAJTg+SBZfsVnYl3jPmjVr1DPPPKP+/fffRK/lzJlTDRo0SL3yyiumOSrTOhSUXrDm0GKHv2vkbiTt1vNrHNbH377i8HdQSLj9/3HRF7ULH1VE2tgrx6StXUSL+AqJyCttg0ov2/dZu3O0Q383T2+UNjzXXQ7ro8p1tv//1rmdDsem9+987MEhme3rIgo11o4h253C9Ke3a21ImDSZ8lfTzuHqSfs+Ybduaedz5LxD/7Y77ekSpxLOPTRG2utRN6QttLe01n0ZrcTUsYZaG3s9Z8J5FDgs7dFq2jHcvFxJ2hL5tGO7cSle2j131oMm+bZI23GZdhTv1Dkj7cA4LV3Dg4V6Svuy7Vv7Pk8W+VLaMzZt7Igf/pG2fK1D0q47rPX/bXhCfdVRuT/U+s07XtrvbrWR9vt/fpY2X/U+0lY4pSWqBeOPl5V2XE2tH919aYLtAe0847VSXEcqHbTvM7LEW9J+lLOXtOVWttauweZ82gaVNOftzNei7fvEhmpjxtWpLO2Bmtp5lI0pJm3bFxLuoU5wVq2ubOjNAg7rQyMLa31eOy6tLU675+7wZBudkPDs0tYtpd2XiKLac6jiYhKOLSzbnf9oH1lB2bR9QrJEaudX56zL/m9k146lwGZt3yuXtXEq79Ku1+WKsfZtoy5rz8ypjtr7M/+uLNJeKL9S2iI/lZO2+s/X7fvcKnxN2sN1tWc0JpM2XvusWmLiskHaddtSfLN9nx1n6kqbM9sJae87oT2jWW5q9790ySPSZi03075P5EztffNA7d+lPf7rUe2Yu2j3+FJUwnmE27T7/1bEFGlvB2kZ4vbv1I418z7t82Fmde38wNk82vXOdUm7TuvLaH3ku6kdS+O52utn6ybsY4vSrnu1Zw5oK97Txrn3lHY+J+4aJ+13+5+279Msl/aZtPG/2to5Xo6S9np27XOzSf1R0u469ZF9n2xKGzPosHZtgwsUdmhtkREOn68gJFJ7f9juPEfBmbX3dtydz8agkEwOrbb/WYfnNzRSew7iLlx2+LyMj7vp9rM0JQm6k/7HV+JZKSfFWLlypWrTpo2KiYmRAJx8+fKpu+++W+XKlUudPXtW7d+/Xw0ZMkStXr1a/fDDDzI1HkgE1tESQgghhAQggwcPljRBEJITJ05UDz74YCJL5KJFi9Rzzz2nPvroI7FUBhJMbE4IIYQEKEFxQZYXkjJs375dBOSPP/6oHnroIdNpbVgwYZ2cOnVqwN0WWigJIYSQACXYZs2HEvuTlCu9eOXKFamY445KlSpJgvNAgxZKQgghhJBkZvjw4erChQuyuOPatWsqLEzzyXbmhRdeUGkVCkpCCCEkQOGUd+DwyCOPqClTpqh+/fqpW3cCWp2Ji4tTL774ourVSwvCNHLixAk1adIklVbhlDchhBCSQdMGWdmXeEfbtm0lKOf06dOqevXqUh3HCF5DpDcivhs3bqz++OMP+2sQoKgBjm3SKhSUhBBCCCHJTL58+dSMGTPsf+/Zs8dtiiEz0nJ+ynQtKJHnCebhzz77TG5clixZRPW//vrrqlatWql9eIQQQoglguK0xcr+JGVA0vJZs2aJJildurQKDvbc6xC5KyEy3333XZVWSdeCsm/fvmry5Mny/5CQEHXx4kX1008/qd9++01u6sMPOyb7JoQQQgIJTnkHDlWqVFHdunVTTz75pE/7t2zZ0q5p0iLpNigHonHBggXq66+/ljD9mzdvSm6nvHnzitKHw+u5c+dS+zAJIYQQkkH44osvLO2/YsUKlVZJtxbKr776Si1ZskQcX3U6dOigIiMjReVDZMJa2bt371Q9TkIIIcRXOOUdWISHJ5RiBtevXxctcvToUclTef/996uICK2UqBkVKlRQaZV0KyjhK2kUkzotWrRQNWrUUFu3bpVIKkIIISRQCYrXFiv7E/8zYcIE0wCaZ5991v7/5cuXq8cee8xBixQuXFjNmzdP1alTJ+BuS7qd8kYtTFeULVtW2uLFi6fgERFCCCH+JSjepoLiLCzxNt6SZCAqKkp0yPPPPy/BNIUKFZJZUp2dO3eq++67T505c0YCiEuVKmWP60B6IVgsA410a6F0B3wnM2XKJDeNEEIIIcSfZMmSRaa3EbthpjWeeuopKa8IK2b//v3VJ598IlHfN27cEGH53nvvSTR4IJHhBCVu1rp16yTKKkeOHKbbIIGoMYs9/C0JIYSQtAanvNMmP//8s3rrrbdMxeS3336r1q9fL2KyQYMGaty4cQ5CFEISsR6BRrqd8nYFyh5ly5ZNvf322y63wS+D7Nmz25eiRYum6DESQgghnmBpuvvOQvzP2rVrTV3vYKx67bXXtHsXFKTGjx+faBtMf6flijiuyFAWyvPnz6t33nlHUgnlypXL5XZDhgxRAwcOdLBQQlQ2KfWACg3LmuQ4IRF5Hf62xSU8GLG3T2rtda0NCnGM+AoKySRt/O2r9nW1CrY33SYsqtidba8n6iuq9lPS1sjdSNqt59c49JUpV6VExx2avYjW3/Xz2jFeOyZtRJEG0l7dPUfabJW6JZzbnYc+KEd27e87zsXXG5SQtvTiaPu2h5tpx3kz8pp2/Le0442LzSbtQwW+l/bHLYPt+1SuMlPrp/SX0s77t7+09fP+IO1PWbVrPe72e/Z9qh7SHKFXNdQy9i45ouXtGlq2nrQjb38tbcVDIfZ9Ou04KO2MDpml3fXLCWl79dauwa26Q6VtdWOvfZ+m87UP4sOdh2vnrLR94+/8TLt/6HFp/x6c375PXJkt0t477pJ23Ypr53614+/SzimhWcYPRJe079N+j7bucIWF2op7tHZyib7a3zHauJnPFbLvczPXae24s5TT2iL/SXu8inafilzTrPMRhbR7C0JyavvbYhLumfH5ir2mnY/Da3E3E60zPqN6u/XMUtPtzN4vt05vlzY8Z5nE/WbOIu3tsvm0fW9p9yA4XnvugqsmlCq7eaajw74XK2k3JjpSO5+oS9p7LNvJhPd0XKT27Jwtqd3nkBgtojLXnhravjW163Y1t/ZcgNzHtfdNXBPt/XH5vHbcLWP+0fqP0aIeXo2aYt/no+AnpG2SbZ20b0c2kfbbqYukLfS0ltKsUGhCarPjDbT73O3cbmlzFNWuxX85tf5nZ65t33bYob+k3VZEuz4dF93JXt1de67eeP2AtF3zxdj3OZNN2zYmNFba8DvBGo9Hae+1+BPa+/ZCjoTPmb6FPpf2+4UXpQ17UfNLv1hO66uSOixt0QJb7fvkCNaue9gt7dm4llN7L9wocEjaesG7tGPPlHBscZnCtGMqWtzhcyYo751nJyYu0WdtaA7t8zHmzL8On4+2uFsOz1387YQZqNDIwtLevuA4KxUcktnheXZniamZr6WKi9euIcm4xMfHS1YZZz7++GN15MgREZOPP/64afAwgFteoJGhBCV8FpCpPinfSdzIQLyZhBBCMhgIqrESWMOgnGRzr4uOjnZIAXTw4EE1cuRI+T/Wu6p6c+DAAZUzZ04VaGSYKW/cuGLFiqmXX345tQ+FEEIICfgpb0zLjho1SpUvX15KCd5zzz1q1apVXvdz6tQpqWyHqd6SJUuqLl26iBXPHUitU7t2bdmnatWq4s7mzzGQ0gdpBuEilzVrVvF1RIU9T2nYsKF644037H+juApSBEFowjqJaW9EfpvxwQcfqFatWqlAI0MIym+++UZqecPUTAghhBBrwBcQs334fkURkf3794vPIIJJ5s6d63E/sNrVqlVLXbp0SVLp7Nu3T4QW1uF724yhQ4dKtbvRo0eLNW/OnDmyDil6/DHGjBkz5DyWLVsmQlAP5oUgfOmllzw6ryFDhkiwDYThK6+8IvmvN23aJK9BCGOdGR999JGUV4SYDTTSvaD8/vvv1Y8//qi+/PLLRElG4+LiAjLXEyGEEOIw5W1l8YFXX31VrHjTpk2T2T/wyCOPqE6dOonYg4hLCnwHYx9YOqdOnSrTwCEhISIUM2fOrDp37iylko0gDQ8CZ19//XWxiOrVYzCVjAAXiEsrYyDJOIQxLIgnT56U17Zs2SLiUxd8ixcvTvLc7r77bonm3rBhg4wF4Yp8k/Xr11e//PKLHIMxgAdWyWrVqsksKrbbuzfBXz9QSNeCEg8eAnBwU0NDQxOZv3v27Cm/bgghhJCAJC7e+uIlhw4dkkowFStWTFTRpXv37lJOEBa6pPjuu+9ErEHwYVpZB2IL1sC///5bjEHGQBdY9mAcwve3ka5du8p+CKiFiPR1jJkzZ0rwLjLBFChQwC4Of/31V3swLyyYntCpUyexhk6aNElcA3777Te1Zs0alSdPHoftYNhCoRVYWXG8WNwFDqdV0m1QDkQkHjhEWaGUkRH8Url69apEbk+fPj3VjpEQQggJNGbPnq1iY2PFr9CZunXrSrtgwQLJrJI7d26339PArJ969bSsHJj+feaZZ+T/mDKG5a5MmTIqXz4t04MOvusrVaokAhHiDzWxfRkDycjha+lM3rx5VY8ePcR1zpuyzfny5ZO81+6AP2d6IF1aKBcuXCi/kvDAw2cCD7VxgZgE+HViVmuTEEIICQji460vPnzHAgS4OAPLGow4MNz8+eefLvuAX+KKFStc9lOlShVpt27dqi5fvpzkuMZ9MBXv6xj9+vWTijVmsGxzBhSU7du3F9M4/BDcLe+//35qHyohhBDiO/EWp7t9EJQQYKBIES0HqzN6Fbpt27a57OPff/+VgBdX/eh94Lt6+/btPo3ryxhJlW0GxprcJANMeRNCCCHpnaD4eFms7G9WYthVPmYItGvXtCT3rsoXo8KcUYCZYZw2NutH78PYj76Pp+P6MoY7li5dKlbNNm3aJLltRiRdWigJIYQQ4jmIKTCWHEYktRlwGzPWnTZDnzLWrYO+9GOcdtb70ffxdFxfxnAFLJgIqEEwkqsp8YwOLZSEEEJIoOJjpLbD/ncijaOiouyrXVWLQ9CKDqaKzdDrULuLVE6qH2Mta70ffR9Px/VlDFcMGDBAUiU1btzY7XYZGcpsQgghJIMH5UBMGhdXghLCSxdqSA9kBoJhgXN6HCN6Sh5X/eh9GPvR9/F0XF/GMGPs2LFSMUcvm0jMoaAkhBBCiEcgfyPyT4ITJ06YbnP69GlpkajbFZUrV7ZnWTHrR+8D4vWuu+6S/6PEojfj+jKGMytXrpQUSMgNyalu91BQEkIIIQE95R1nYfF+ulwPSkEZQ2cQ3IIUPEgirleyMSNnzpz2pOhm/SAhOGjSpIk9Ibm7cY37tGvXzucxjPzzzz9SkQeC0pXfJkmAgpIQQggJVFIhD2WfPn3EWrdq1apEr6HmNejYsaODD6MZTz/9tLTu+kEFHB3U1y5ZsqSkA3JOLo7pa6zH63rCcl/G0Pnvv//Us88+K6UcIUyd8aS0ZEaDgpIQQgghHoME3xBqO3bsSJRrEuWOUS/7zTfftK9DonFU0Bk3bpzDtihAgjQ8EG3GKGsEy8yaNUumrB9//HH7epRQRvQ58kzrFXB0UA4R61E20Vgn29sxdDHZu3dv6dPohwmio6Olnvc333zDJ8YJRnl7waoDP6kWFR3rhxqpXeRhaYPDtUi5+NtaXq+1O0fbt6lVsL3DNjq2uFumLQgKyeSwLjb6jLTRJ7RfV5nyaH4loblLJ+yTTYtYy165l8Ox2W981kKJjv/2uX+lDc9ZxvT8Muevrb1eJWEaw5brTh6vcxe1v8sUlzYuTPvVe7NYwjRB2K1YaWOqrNS22dxa2kKZNd+Wv29W0I4j1yn7Ps0ybZI2yhYt7R+F/pE2f5A23gWbdh1DbAm/Vov+rUXzrbovQtr6F7S6rr8d7ixtx8IbpS28WutTOxjteHPEav42VYdq1/T0be0317B1h6UNnpPghxNzv3auPXZrY8+ocCdK8EPtOp67qEUQxgXnt+9TLcdf0m56Sjvu2lO1qk11T2gfgGNzatuWy6JNxYDF5bS36ZLrDaU9dLKWdiy3tCma+DDtQzI+NMa+T5ZcR7T/HConTak/Wkp7tNJ+aYMuRGr3JI/2uqwrU17a2D1LtdfyaX5S8TFXHZ7DuNtaRQk5hpDM0tbI3cjhb/3ZN8N5W/29EBpZxOH5059vOZbsJbV+L2nPfvgRrZxbTBHt+Su+XLsWuyok5JorvlO7lzF5tOMOjtGei2x3ziMoXHs/XSyecN3CbmrXutSm6tLaQrR9ch3RnqXrebRnKSQmzL5P+C1tn6PnteMOy6I5+q8I03yyfr3eStr+WRO+gE5f1Kp2nIrYK22lMO2+7LnzzI7f/LG0A2q9YN/njZLafR+5f7N2vfpo925E0IPSnr2S8JzlP6x9yWcuqL3nzpfSjvFYfe16DTuula2bm0+7B3KdgrRn8Lcs2n149rB2bJeKau+1+DraPmeiEq7X3zHaM/PGF3dLOzRSO/fDWbV+/4yvLG10XMLnwOqrmvUo62XtGbyZVctpWHal9lyMzv6Udg82JIyj4rVjiNmxWjv3Utp48UfvvC9zaM9DeB7teOS161rKmJgr2nshJHNuh+ctLlp73248/J19n4ZVhyaMadgmPk57j4XceXaMn9/657H92Y+7qeJt2nVPEfSpayv7+8Do0aOlFCJKFqLUIax448ePVz///LOIPWNlmjFjxqiNGzeqXbt2qeeff96+PiwsTGpnN23aVGpwQ3BC6EGsQhzOmzdPtnEuUwiBigCZ5s2bi1/l6tWr1WuvvSaR2KiAZ8TbMVC6sXXr1pJrEzW8HS9VnOTrxH4oAUkcoaAkhBBCAhRbfJyyWRCU2N8X4HMIYQcfw1q1askUOKx9EJl68IwORB6mnJ944olE/WAfTD0PHjxYLJ8QdxB0yPvoXK9bZ+LEibLfo48+qm7duqXy58+vpk+f7rKCjadjIHAHwvPixYtuo8nhl4l64sQRCkpCCCGEeA1S6XzyySeyuKNbt26yuAIib/78+R6Pi8jt5557ThZP8WSMQoUKqQsXLnjcJ3GEgpIQQggJVGBh9NHKaN+fED9AQUkIIYQEKqnkQ0mIMxSUhBBCSKAiqX+sWCgtlG0kxADTBhFCCCGEEEvQQkkIIYQEKnGx2mJlf0L8AAUlIYQQEqAgZZCltEH0oSR+glPehBBCCCHEErRQEkIIIYFKfKy2WNmfED9AQUkIIYQEKhCEVvwgKSiJn+CUNyGEEEIIsQQtlIQQQkggB+UE+26hZFAO8RcUlIQQQkigQh9KkkbglDchhBBCCLEELZSEEEJIoIKAHAtT3kxsTvxFkM1ms/mtt3TKlStXVPbs2dXly5dVVFRUah8OIYSQDP6doY9xz70LVGhYVp/7iY25rlb+9hC/34hlaKEkhBBCAhRbXKyyBcdY2p8Qf0AfSkIIIYQQYglaKAkhhJBAhVHeJI1AQUkIIYQEKLb4GGWLszDlHe/7voQY4ZQ3IYQQQgixBC2UhBBCSKAC62SQBSujBesmIUYoKAkhhJBAjvK2ICgZ5U38Bae8CSGEEEKIJWihJIQQQgIUW/xtZYsPsbQ/If6AgpIQQggJaB9KC1/l9KEkfoJT3oQQQgghxBK0UBJCCCEBCnJQ2oIsTHnTQkn8BAUlIYQQEsg+lHG+TzbSh5L4CwpKQgghJJAtlIoWSpL60IeSEEIIIYRYghZKQgghJECxxd1WNgu2IexPiD+goCSEEEIC2YcyKMjS/oT4A055E0IIIYQQS9BCSQghhAT0lLcFCyWnvImfoKAkhBBCAjrK24qgjPHr8ZCMC6e8CSGEEEKIJWihJIQQQgIUW/wtZVM2C/szKIf4BwpKQgghJFCJu6VsNt8FpaKgJH4i3U953759W40aNUqVL19elS5dWt1zzz1q1apVqX1YhBBCCCHphnRtobx165a699571enTp9WSJUtUsWLF1Ny5c1XLli3Vt99+qx555JHUPkRCCCHEWpS3BQulLZ5BOcQ/pGtB+eqrr6rly5erDRs2iJgEEJELFixQvXr1UrVq1VIlS5ZM7cMkhBBCfMImU97xPl89CkriL9LtlPehQ4fUhAkTVMWKFVWdOnUcXuvevbu6fv26GjJkSKodHyGEEOIXQWlxIcQfpFtBOXv2bBUbG6saNGiQ6LW6detKC0vl+fPnU+HoCCGEEELSD+lWUC5cuFDaUqVKJXotV65cqnDhwhKw8+eff6bC0RFCCCF+8qG0ZKFk2iDiH9KtoNy6dau0RYoUMX09R44c0m7bti1Fj4sQQgjxF/HxN1V8nIUl/iZvBvEL6TIo5+bNm+ratWsOwtGZ7NmzS3vu3DnT6HAsOpcvX5b2ypUryXTEhBBC0gv6d4Wl/JAeEmeLS9X9CUnXgtLoF5klSxbTbYKDg+3i05n33ntPDR8+PNH6okWL+vU4CSGEpF+uXr1qN174m/DwcFWgQAG169Rmy32hH/RHiBXSpaA0vjFc/UKE/6TuT+kMor8HDhxo/zs+Pl5duHBB5c6dWwUFBalA+HUM8Xv06FEVFRWlAh2eT9qG9ydtw/uT8uB7B2KyUKFCyTZG5syZ1cGDB+3fZVa/M9EfIVZIl4ISIhFvELzRkB7IjEuXLkmbJ0+eRK9lypRJFiOups7TMhCT6UFQ6vB80ja8P2kb3p+UJbksk0YgAikESVohXQblhISESP5JcOLECdNtUD0HVKtWLUWPjRBCCCEkvZEuBSVo06aNtDt37kz0GgJxEGiTNWtWqe1NCCGEEEJ8J90Kyj59+kjgzapVqxK9tm7dOmk7duyYLh2RMV3/5ptvJpq2D1R4Pmkb3p+0De8PISQlCLKlRF6DVKJfv37q888/l5yU1atXt6/v1KmT+vXXX9U///xjmvicEEIIIYR4TroWlAjIwZR2aGioCMicOXOq8ePHq0GDBqlvv/1WhCUhhBBCCLFGuozy1oGP5PLly9Xrr7+uatWqJVPglStXVps2bVJVq1ZN7cMjhBBCCEkXpGsLJSGEEEIISX7SbVAOIYQQQghJGSgoUwEkXB81apQqX768Kl26tPh5mkWjg/3796tu3bqpvHnzSrTmXXfdpd555x2HWuPJNbbOX3/9pdq3b69KliypypQpo1599VUVHR1tqU+duLg4Va9ePVWiRIl0cT579+6VSksPPPCAeuGFF9TUqVO9Oh9MGHzxxReqSpUqMnbt2rXVDz/84Hafffv2qUcffVTOB0Fmffv2lcpOvpzPjRs3xEUE2xYpUkRKsuFarV271qvz8GVsT++PzsKFC1WDBg3UV1995Zf+AuF8AuHzwJvzCYTPA0KIh2DKm6QcN2/etDVr1sxWsWJF2+HDh2XdnDlzbGFhYdIa+eeff2w5c+aES4ItNDRUWn1p1KiR7caNG8k2ts5PP/1ky5Qpk23MmDHy96VLl2wNGza01a9f33bt2jWf+jQyYsQIOZ/ixYt7dS5p7Xxu375tGzx4sC1fvny26dOn2+Li4rw+n/j4eFu3bt1shQoVsv3999+ybtWqVbaIiAj78TqzceNGW/bs2W0vvviiLTY21hYdHW3r1KmTrWzZsrZTp055dT7Yt06dOrby5cvbx79165Zt4MCBtpCQENsPP/yQ6vcHzJ49W45Tfy9MmzbN5TF40l+gnE8gfB54cz6B8HlACPEcCsoU5oUXXpAPzA0bNjisf+yxx2xZs2a1HThwwL4OH8oQBzt37hSxcezYMVv37t3tH9RDhgxJtrHBkSNHbNmyZbPde++9Dut3795tCwoKsvXr18/rPo1s3brVlitXLp+/QNLK+Vy/ft3WokULW8mSJd2eb1J8/PHHMja+kI3gPgcHB9vWrVvnsP7KlSu2okWL2ipXruwgYC9evGjLkiWLrV27dl6dz+jRo2XbtWvXOmyLvsuUKWMrWLCgV0I5Oe4P2L9/v4gHiGZ3gsXT/gLlfALh88Cb8wmEzwNCiOdQUKYgBw8eFMsCfkE78+uvv8qHYZcuXeTvbdu22Tp37ixfHEbwd5MmTWRbiInkGFunT58+st7s171ugfC2Tx184VSpUsU2adIkn75A0sr5wCrYvn17W1RUlG3fvn02X4E4hPUJ1saYmBiH13bt2iVj161b19Sa88EHHyTqD88OXoNl0dPzgQDFOjNLF4QMXjt9+nSq3R98yeNaOJ+jK8HibX9p+XwC4fPA2/uT1j8PvHk+CCE2G30oU5DZs2er2NhY8Stypm7dutIuWLBAnT9/Xh07dky9//77KigoyGE7/P3SSy/J/8+ePZssY4OYmBg1d+5c+b/ZPvBzAt70aQR+evBvatWqlcfnkBbPB+cBXzHcK/hs+QrypF68eFF8JpE31UiFChVU9uzZ1YYNG9SOHTvs65FLNanzgU+ap+eDNFsA4zhz9epVVahQIfHdS637gx/AU6ZMsa/LnDmzy/F96S8tn08gfB54cz6B8HngzfNBCGFQTooC4QHMqvPkypVLFS5cWJzK//zzT3ESd+WYXrZsWWmLFy+e6LXRo0erbNmyqQ8//NDnscHq1avVlStXxPEfrzmDoBEdT/vUWbNmjRzPBx98YHp+gXI+CMAZM2aMBK+g1KcnfPfddyIOn3/+eY/PB6IB+VMB8qqCAwcOqN27d7vcx5fzQSARGDBggATn6OBLGNcP98BZ0KT0/dHPX78urvClv7R8PoHyeeDp+QTK54Hz80EIcQ0tlCkISkACCBAzcuTIIe22bdvc9nPu3DlpO3TokOi1r7/+Wl27dk1Nnz7d0tj69mYftsbtASxXnp4Pju3JJ5+UyM+IiAi355nWzwdfgPiSevDBB8WSgfuBL3dYFBEpiuN2ZubMmfJFNm3aNL+cD6yZ+fPnd3s+rq6zc59du3ZVbdu2lb/btGkjFtP4+HgpYTphwgR5PbXvDyy0sLomha/9pdXzCZTPA2/PJ61/Hvjj/hCSUaCgTCFu3rxpFxjGL3sjsFwZvyBcsXTpUplO+t///pfotddee03VrFlTWitj69NnrrY3fviHhYV5fD6YnnvsscdkatcT0ur5YHoNU2hg+/btYkH8/vvvZbq4Ro0aIjabNm3qYOkDAwcOlHMfMWKEw/qkjs/V+URFRUkFKGc8mW507hP9zJ8/X8QkrEYNGzaUFESYjuzZs2eq3h99e1z3y5cvJ3luvvaXVs8nrX8e+Ho+afXzwJ/3h5CMQrouvZiWMPrdZcmSxXQbXRjgA9IVyDc3efJkNWzYMNNf48hHiMXq2Po+rrY3Wt9CQkI86vO3334TCwGsXZ6SVs9n586d9j5/+ukn+xcTptdgbdm4caPasmWLeuuttxym8po1ayavOZPU8Xl7PsYvQTPBadan3h+m5fGFjWlBWF4PHjwo/mY5c+ZMtftjPAd37w/nY/C2v7R6Pmn988CX80nLnwf+uj+EZCRooUwhwsPD7f93Ve0S06e6KHEFkvYi+e7gwYOTdWx9H1fbG9fDpympPpFoG36DmKpyDjrxlrRwPgiS0L+QnK0c8MvSfSo9Teqc1PF5ez5GIiMjPeoTHD58WO7T2LFjxUrZpEkT9ccff6hGjRqpM2fOeHUu/jwffXvn403qGPzRX1o4n7T+eeDt+aT1zwN/3R9CMhIUlCkEPpT0D7Hr16+bbnPp0iVp8+TJY/r6pk2b1KxZs9S8efNcWtH8NTYqpLjb3uhXhIjJpPp89tlnpXIMKlhYJS2cD/wg9SlnV0EU+tSaJ9G3SR2ft+dj/KJ0NYXv3CemAzFNj0os2AfTfrAiNW7cWO3atUt1795dpdb90bdHJLon0/n+7C8tnE9a/zzw9nzS+ueBP+4PIRkNCsoUAh/4FStWlP+fOHHCdJvTp09LW61atUSvnTp1SoIjfvzxR5UvX75kH7tq1aputzeKpKT6RNAI0nrAxwuRn8YF5c50y5i+7tChQ2n6fNCnnj5HF5bOGKcfPbEiJnV8rs4HX3zOfprOfqtmwUFmfWLaFOO3bNnSvg0ssCj9WLRoUbV48WKPSjAmx/1x994ww5/9pYXzSeufB96cz9GjR9P854HV+0NIRoSCMgVBsAOA/52ZAIDfG34RIx+bcw5A+A1NmjRJlStXLkXGhq8ffvVjmtMsSAj1o3WS6hPTprBEmC16mg9Me+nrXFnU0sr5oE8E3uCLDGLO7AtPt2rA79CT3I3uzgeCFGmCQLt27exfiAULFpT/w3po9XwAgopg7XGegsQ6Pdehmf9nSt4f/fyTwt/9pfb5BMrngSfnA//EQPk88OX+EJJhYXb3lOO///6TEnqoCGFWUxa344knnnBYj3qybdq0sa1cudK0T09L/fkytl7Wbf78+Yn2ufvuu6WShLd9mlW48KUyRlo4H9wXrJswYUKi7Xfs2CGv9erVy6PzQblEVNtB6TnnSjmoq42+UBHFyOuvvy7rzep8P/zww/KaN+eDKj2orIP63c4sXLjQ5bmm1P1Bf+hXp0ePHm4rsXjbX1o/n7T+eeDL+aTlzwNvng9CCEsvpjjPPPOMfIihbq2Rjh072iIiIqQOrvHLo23btrZFixYl6gcl1/Al/9BDDzmsnzVrlq1WrVqm5cS8GRuglCBq4Hbo0MFULD399NNe9+ntF0haPp8tW7ZIubdy5cpJ6TgjL730ktTTdv6CX758uZR1Gzt2bKLzGTVqlIy9YMGCRH1B7K5Zs8Zh/YULF6S+dvXq1R3Wnz171pY5c2Zb69atvTofXQB88803iY4N4jVTpky2w4cPp+r9MdKtWzdZP2XKlERj+9JfWj+fQPg88OZ8AuHzgBDiObRQpjD4UqhZs6bUZT5//rx8EUBchIeH2+bOnetgsapfv76sz507t8OCms9hYWHyoTd58mSH/itVqiTrK1eu7PPYRmbMmCGiSRcZEBTVqlWzNWzY0Hb9+nWf+vTmCyStnw++LHF8Xbt2lf0BLB6RkZG277//PtH2qPuN7fG6M6gLjnrapUuXtgu3efPmydiffPKJ6fn88ccf8mX5zjvvyLGeO3fO1rJlS1uFChWk7rY353PmzBlb2bJlbXny5BHRgm2x4Esc4vjzzz9P9fujg3rjsEZh7CeffNK0L2/6S+vnEyifB56eT6B8HhBCPIeCMhW4cuWK7YUXXrCVLFlSxAN+IW/fvt1hG1ix8MHpboHFCF80Rt5991351Q1rl69jO7N48WL5MsM++EAfPXq0w7SoL316+gUSCOfzyy+/2OrVq2fLkSOH7a677rI98MADtk2bNpluO336dFu2bNls/fv3N3399u3btuHDh9vKlCljK1WqlK1FixYupzd1MFarVq1sJUqUsJUvX942bNgwOQdfzgdfxAMHDpRt8+bNaytcuLBYxZYtW5Zm7k+XLl1E4BrfC3AVmDhxok/9BcL5BNLngbf3J61/HhBCPCMI/6S2HychhBBCCAlcGOVNCCGEEEIsQUFJCCGEEEIsQUFJCCGEEEIsQUFJCCGEEEIsQUFJCCGEEEIsQUFJCCGEEEIsQUFJCCGEEEIsQUFJCCGEEEIsQUFJCCGEEEIsQUFJCCGEEEIsQUFJCBGmTZumoqKipCXegyq2X3zxhapWrZrKnDmzypUrl+rQoYPavHmzy33++usv1b59e1WyZElVpkwZ9eqrr6ro6Gi/9e/tGL6yfv169cQTT6hA5fTp03Jdqlat6tH2CxYsUEFBQYmWzp07J/uxEpJm8bDmNyEkndOuXTsbPhLat2+f2ocSkDz11FNy/bCEhITY/x8WFmabP39+ou1/+uknW6ZMmWxjxoyRvy9dumRr2LChrX79+rZr165Z7t+XMXylS5cuMs7p06dtgcTRo0dtAwYMsEVERMi1LF68uEf71a5d2379jcuGDRuS/ZgJSatQUBKSAVm5cmWidYsWLZIvSrTEO3799Vdbnjx5bF9//bXtypUrtpiYGNsPP/xgy5s3rwiNqKgo29mzZ+3bHzlyxJYtWzbbvffe69DP7t27bUFBQbZ+/fpZ6t+XMayIstDQUDmOESNG2AKJ48eP26Kjo21Tp071WFAuWbLE1qhRI9u///7rsOzZsydFjpmQtAoFJSEZjLi4OFvlypVT+zDSFZ07d7Zt3bo10fqlS5farVdffvmlfX2fPn1k3Zw5cxLtU6dOHRF8u3bt8rl/X8bwlcGDB4twxViFCxcWsRto4Dp4KiibN29u++2331LkuAgJJOhDSUgG47333lP//PNPah9GuqJx48aqevXqida3aNFC1ahRQ/5/9uxZaWNiYtTcuXPl/w0aNEi0T7169cRfcsqUKT717+sYvgBfTPQxb948FRYWpo4fP66+//57FWjAJ9UTNmzYoNauXasOHz6sdu/enezHRUggQUFJSAZi6tSp6vXXX0/tw0h3PPfccy5fK1u2rLTFixeXdvXq1erKlSsqU6ZMqnDhwom2r1KlirTLly/3qX9fx/CFb775RtWsWVO1bt1aderUSdaNHz/e5fYvvviiHJMexLJixQr7a5UrV7avL1GihOn+kydPFgFdtGhRlSdPHtWtWzd19OhRZRWM6emPsZs3b6pnnnlG3XXXXap27dpq0aJFlscnJD1AQUlIBuGDDz6QL0RYpgAifrEMHTpUXb9+Xb6s7777bvXWW2857Adh8vbbb6scOXLI3xcuXFC9evWSiHCImK+++sq+LQRCw4YNVZYsWeSLf926dabHsmvXLvXYY4+JiIiMjJToWojd9Mi5c+dERLVt21b+3rp1q7RmQg/o13nHjh0qLi7O6/6TYwxXjBs3Tr300kt2sQjWrFmjtm3bZrr9J598og4ePChi0BlYzSFQXfH000+rvn37yvMKEQlrIcaCoIbAhMB79tlnVXJx/vx5udbly5dXISEhsg4R9rjuAwYMsL+vCMmwpPacOyEkZdF97nR27txpe+yxx2xZsmSR9W+++ab9tUmTJtlKlixp3+f8+fO2ihUr2goVKmTLnDmzrAsODratW7fOtmDBAlt4eLitaNGi9ijk3LlzS2Sxkd9//91WokQJ2+rVq+1BHdWrV5ft33rrLVt64vr16xJB3L9/f/u6V199Vc717rvvNt1n8eLFDtfb2/79PYYr0EeVKlUc1jVo0ED67N27t9t9GzduLNstX77cYf2+fftMfRmXLVsm61u2bOmwHn6jWG/VJ/jgwYNeRXnjmUYgT8GCBe3X8fXXX7d0DIQEOrRQEpLBqVixopo5c6ZMHzrTvXt39fvvv9v/xnT5pEmTxFcOPnv169dX8fHx6rXXXpM+9u7dq44cOaIOHTqkihQpIlad3377zb4//u7atasaNWqUatSokazDdugTwBK6b98+lV6Af2G2bNnkvIzXAMCKa0ZwcMLHMqZXve3f32O4YuzYsWrgwIEO63QrJZ4F/RiSGt+Ibvlz5pdffnGYqtd55JFH7NZNWD5TiuzZs4uVHn6UsMgDPNMpeQyEpDUoKAkhQt68eU2DFYy+efjS1L9AMVWtTzFeunRJzZ49WxUrVswuEu+//375PwSmDqa1r169qh544AGHcfSE0hCnSBqdHoCgeuedd9TXX38tSch1wsPDpXU1RXr79m37/437edq/P8dwBX44YFodPw6MPPzww/IMQKRaDfhxdbxGIKZz5swp/z916pRKaeD28euvv8p7BIFQ8+fPT/FjICStQEFJCBEQpWsG/POMX+BGChUqZF/vHNig+8kZq7IsW7ZMRA78KytUqGBfUP0ld+7cspw5cyZd3JGnnnpKDRo0yMG3ERQoUEBa+K2aAXEOsmbN6jb62FX/vo6B+2W2/Pnnn6bWSYg8/BAw3sdKlSrZ7/dnn31myT/TCCzhANHVzuiiuWDBgvZ1qCBkdi7wI04OUTls2DD5//79+/3ePyGBQmhqHwAhJHBxNXVpfM1oJYO1Ehax9J5y5d133xVL3csvv5zoNd0ae+LECZdlAAFEti/9+zqGqylqWN6MXL58Wc2aNUv9+++/plZt/CCAhRr3+qefflIPPfSQsgqmtidMmKAWL14sYlgPKkJwDv5GpLkxMhzHaHY+N27cUMlBy5Yt7VZ7QjIqtFASQlKM2NhY8b3ULWTpEUQq79mzR3388cemrzdr1kympCG8EDXsjO5D2q5dO5/693WMO4UuEi1NmzZ12BdT2ffee6+pmAT58uWzi0hEgVtJ02O0nkNMlitXTiK94TYB0di/f3/xZ3SeXke2AbNzcc5g4C906yjyexKSUaGgJISkGPjixRf7nDlzTF/Ha8bchIEGknr/+OOP6ssvv0wkmjD9C4sapki7dOki61atWpWoD6RagnW3c+fOPvUPrIzhDozx6aefqn79+rndDil+AO4lUhM5ExERYU9BZQQi0ZXPJPJbIhgMVkZYYOvUqSMuEkjdY5b0PSVBUFDJkiXVfffdl6rHQUhqQkFJCEkxmjRpIi2iwg8cOJDodQSYuJqmTev88MMPcvzffvutCg119CZCwEjPnj3t5/zmm2+K/+L06dMTCZO//vpLPfnkk/aE5b707+sYSYHobYh+s+o7zhZSPdgHuU+d0QO9pk2bZo8yRzYBPWocVlWIS91dYv369ZJ/EtHsqACEoCBMuWN/5FL1h+UcuPP5RMDYxYsXTV9DsBqOxehvTEiGI7XzFhFCUhbkLcRbPzo62mH9kCFDZP3QoUMd1t++fduea8+5TvMff/wh6xs1apRonDfeeCNRf8g5mTVrVlmfL18+28SJE20HDhyw7dmzx/b+++/bypUrZ7t69aot0JgxY4YtNDTUliNHDsm9aVz0OtfIzxkfH59on2+++Ub+Pnz4sK1atWq2hg0bSn5Jq/17O0ZS7N6925Y/f35bsWLFbOfOnXO77YULF2x58+a1PzfTpk1zWYMcx49+q1atatuyZYt9PXJCTpkyRbbH8evrjQvqkUdGRkr+Syv1tfX+kUd1//79ptvcf//9kl/1hRdesOfuPHPmjG3AgAGSW5WQjA4FJSEZjFq1asmXJ77UISpGjx5ti4uLE1GI9Ug6HRsbm0g0Yvnzzz8d+kIyZ6wvUKCA7ezZs/b1EJ5IQo3XmjVr5tDf7NmzReQ4i4NMmTLZVq1aZQs0fvnlFxE2ZoLHuLzyyiumycHr168vyeMrVaok9+LWrVt+69/TMZLinXfecTgGCC/nZOo6H3/8sT3pvXHJmTOnw7gTJkyQxOBRUVG2Hj16iAhFgvE8efLYRowY4ZAQH0K5Z8+ecg7YB0n4kVDf2D/EHgSpN6xfv94hOTkWPJtly5ZNtC2SsNeuXVt+EEHYQ2COGjXK58TwhKQ3KCgJyWBs2LBBvjBhQYJ1BRVrcuXKlejLf/PmzbZevXrZq97oX9pt27a1XblyRaxKzoIQVsklS5bIF67xNfy9a9cu+zGsXbvW1qZNG7FO4Qu6VatWclyEmHHixAlb69atbTdv3kz0Gtbt3bvX9vDDD9tefvllXkBCUokg/JPa0+6EEEKIK1q1aiWVaZwTqRtZuHChWrJkidQLJ4SkPAzKIYQQkmZBsM7SpUsTBSKZBQwhnREhJHWgoCSEEJJm0SPXUeYT6ZL01EI6qBvfu3dvqdDTpk2bVDpKQginvAkhhKRZrl27JpbHNWvWyN/Iv4l8plmyZBFxiUT5qKSD9EjuSlUSQpIXCkpCCCFpGuSHRJ7HGTNmqG3btklycyQ1R41v5NN0VVWIEJJyUFASQgghhBBL0IeSEEIIIYRYgoKSEEIIIYRYgoKSEEIIIYRYgoKSEEIIIYRYgoKSEEIIIYRYgoKSEEIIIYRYgoKSEEIIIYRYgoKSEEIIIYRYgoKSEEIIIYRYgoKSEEIIIYQoK/wfiGinLL7de9AAAAAASUVORK5CYII=",
             "text/plain": [
               "<Figure size 640x480 with 2 Axes>"
             ]
@@ -4130,7 +4379,7 @@
         },
         {
           "data": {
-            "image/png": "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",
+            "image/png": "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",
             "text/plain": [
               "<Figure size 640x480 with 2 Axes>"
             ]
@@ -4164,7 +4413,7 @@
   ],
   "metadata": {
     "kernelspec": {
-      "display_name": "work",
+      "display_name": "Updated_MHKiT",
       "language": "python",
       "name": "python3"
     },
@@ -4178,7 +4427,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.11.10"
+      "version": "3.12.12"
     }
   },
   "nbformat": 4,