{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "89e915af",
   "metadata": {},
   "source": [
    "# StraitFlux examples\n",
    "\n",
    "This notebook demonstrates the main StraitFlux workflows for native-grid ocean section diagnostics:\n",
    "\n",
    "- section transports: volume, heat, salt, ice, and generic tracers\n",
    "- cross-sections using the vector-projection method\n",
    "- overturning diagnostics in depth and density space\n",
    "- heat transport decomposition into overturning and gyre components\n",
    "- optional barotropic adjustment\n",
    "- water-mass transport decomposition\n",
    "- defining custom sections"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98ac26c0",
   "metadata": {},
   "source": [
    "## 0. Imports\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "546a34c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt\n",
    "from StraitFlux import masterscript_line as line\n",
    "from StraitFlux import masterscript_cross as cross\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71b43fa7",
   "metadata": {},
   "source": [
    "## 1. Define model, section, files, and paths\n",
    "We will be using 1 year of monthly data for the newest generation of the CMCC CGLORS-v8 global reanalysis.\\\n",
    "1 year of data on its native grid is stored at ...."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "511c447c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, white)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
       "  );\n",
       "}\n",
       "\n",
       "html[theme=\"dark\"],\n",
       "html[data-theme=\"dark\"],\n",
       "body[data-theme=\"dark\"],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: var(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "  line-height: 1.6;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "  margin-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-obj-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-group-box-contents > label {\n",
       "  color: var(--xr-font-color2);\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "  margin-block-start: 0;\n",
       "  margin-block-end: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item > input,\n",
       ".xr-group-box-contents > input,\n",
       ".xr-array-wrap > input {\n",
       "  display: block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item > input + label,\n",
       ".xr-var-item > input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item > input:enabled + label,\n",
       ".xr-var-item > input:enabled + label,\n",
       ".xr-array-wrap > input:enabled + label,\n",
       ".xr-group-box-contents > input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item > input:focus-visible + label,\n",
       ".xr-var-item > input:focus-visible + label,\n",
       ".xr-array-wrap > input:focus-visible + label,\n",
       ".xr-group-box-contents > input:focus-visible + label {\n",
       "  outline: auto;\n",
       "}\n",
       "\n",
       ".xr-section-item > input:enabled + label:hover,\n",
       ".xr-var-item > input:enabled + label:hover,\n",
       ".xr-array-wrap > input:enabled + label:hover,\n",
       ".xr-group-box-contents > input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "  white-space: nowrap;\n",
       "}\n",
       "\n",
       ".xr-section-summary > em {\n",
       "  font-weight: normal;\n",
       "}\n",
       "\n",
       ".xr-span-grid {\n",
       "  grid-column-end: -1;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.3em;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input:checked + label > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.6em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details,\n",
       ".xr-group-box-contents > label {\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  grid-column: 1 / -1;\n",
       "  margin-top: 4px;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in ~ .xr-section-details {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-children {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 100%;\n",
       "  grid-column: 1 / -1;\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".xr-group-box {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 0px 30px auto;\n",
       "}\n",
       "\n",
       ".xr-group-box-vline {\n",
       "  grid-column-start: 1;\n",
       "  border-right: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "  width: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-hline {\n",
       "  grid-column-start: 2;\n",
       "  grid-row-start: 1;\n",
       "  height: 1em;\n",
       "  width: 26px;\n",
       "  border-bottom: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-group-box-contents {\n",
       "  grid-column-start: 3;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > label::before {\n",
       "  content: \"📂\";\n",
       "  padding-right: 0.3em;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input:checked + label::before {\n",
       "  content: \"📁\";\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input:checked + label {\n",
       "  padding-bottom: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-group-box-ellipsis {\n",
       "  font-size: 1.4em;\n",
       "  font-weight: 900;\n",
       "  color: var(--xr-font-color2);\n",
       "  letter-spacing: 0.15em;\n",
       "  cursor: default;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 919MB\n",
       "Dimensions:              (deptht: 75, axis_nbounds: 2, time_counter: 1,\n",
       "                          y: 1050, x: 1440)\n",
       "Coordinates:\n",
       "  * deptht               (deptht) float32 300B 0.5058 1.556 ... 5.902e+03\n",
       "  * time_counter         (time_counter) datetime64[ns] 8B 2000-01-15T16:38:42...\n",
       "    time_instant         (time_counter) datetime64[ns] 8B ...\n",
       "    nav_lat              (y, x) float32 6MB ...\n",
       "    nav_lon              (y, x) float32 6MB ...\n",
       "Dimensions without coordinates: axis_nbounds, y, x\n",
       "Data variables:\n",
       "    deptht_bounds        (deptht, axis_nbounds) float32 600B ...\n",
       "    so                   (time_counter, deptht, y, x) float32 454MB ...\n",
       "    thetao               (time_counter, deptht, y, x) float32 454MB ...\n",
       "    time_counter_bounds  (time_counter, axis_nbounds) datetime64[ns] 16B ...\n",
       "    time_instant_bounds  (time_counter, axis_nbounds) datetime64[ns] 16B ...\n",
       "Attributes:\n",
       "    name:                  CG8E7_1d_19991231_20000107_grid_T\n",
       "    description:           ocean T grid variables\n",
       "    title:                 ocean T grid variables\n",
       "    Conventions:           CF-1.6\n",
       "    timeStamp:             2025-May-19 07:47:52 GMT\n",
       "    uuid:                  ecf6f7f7-6709-49be-a2b7-384bb7b98372\n",
       "    DOMAIN_number_total:   330\n",
       "    DOMAIN_size_global:    [1440 1050]\n",
       "    DOMAIN_type:           box\n",
       "    history:               Tue Sep 23 11:01:52 2025: ncks -v so,thetao,nav_la...\n",
       "    nemo_rebuild_version:  0.4.0 (15-05-2023)\n",
       "    NCO:                   netCDF Operators version 5.0.6 (Homepage = http://...</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-fde85f21-4910-48ec-8d39-cc1cedd66177' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-fde85f21-4910-48ec-8d39-cc1cedd66177' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>deptht</span>: 75</li><li><span>axis_nbounds</span>: 2</li><li><span class='xr-has-index'>time_counter</span>: 1</li><li><span>y</span>: 1050</li><li><span>x</span>: 1440</li></ul></div></li><li class='xr-section-item'><input id='section-54e4867d-3fe9-44fe-8f74-ec5d08c29f10' class='xr-section-summary-in' type='checkbox' checked /><label for='section-54e4867d-3fe9-44fe-8f74-ec5d08c29f10' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</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'>deptht</span></div><div class='xr-var-dims'>(deptht)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.5058 1.556 ... 5.902e+03</div><input id='attrs-6260a8a0-57d5-406b-b5a9-b1ad2f357773' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6260a8a0-57d5-406b-b5a9-b1ad2f357773' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c92b507-ab50-4728-afb7-57263912f800' class='xr-var-data-in' type='checkbox'><label for='data-4c92b507-ab50-4728-afb7-57263912f800' 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>name :</span></dt><dd>deptht</dd><dt><span>long_name :</span></dt><dd>Vertical T levels</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>bounds :</span></dt><dd>deptht_bounds</dd></dl></div><div class='xr-var-data'><pre>array([5.057600e-01, 1.555855e+00, 2.667682e+00, 3.856280e+00, 5.140361e+00,\n",
       "       6.543034e+00, 8.092519e+00, 9.822750e+00, 1.177368e+01, 1.399104e+01,\n",
       "       1.652532e+01, 1.942980e+01, 2.275762e+01, 2.655830e+01, 3.087456e+01,\n",
       "       3.574020e+01, 4.118002e+01, 4.721189e+01, 5.385064e+01, 6.111284e+01,\n",
       "       6.902168e+01, 7.761116e+01, 8.692943e+01, 9.704131e+01, 1.080303e+02,\n",
       "       1.200000e+02, 1.330758e+02, 1.474062e+02, 1.631645e+02, 1.805499e+02,\n",
       "       1.997900e+02, 2.211412e+02, 2.448906e+02, 2.713564e+02, 3.008875e+02,\n",
       "       3.338628e+02, 3.706885e+02, 4.117939e+02, 4.576256e+02, 5.086399e+02,\n",
       "       5.652923e+02, 6.280260e+02, 6.972587e+02, 7.733683e+02, 8.566790e+02,\n",
       "       9.474479e+02, 1.045854e+03, 1.151991e+03, 1.265861e+03, 1.387377e+03,\n",
       "       1.516364e+03, 1.652568e+03, 1.795671e+03, 1.945296e+03, 2.101027e+03,\n",
       "       2.262422e+03, 2.429025e+03, 2.600380e+03, 2.776039e+03, 2.955570e+03,\n",
       "       3.138565e+03, 3.324641e+03, 3.513446e+03, 3.704657e+03, 3.897982e+03,\n",
       "       4.093159e+03, 4.289953e+03, 4.488155e+03, 4.687581e+03, 4.888070e+03,\n",
       "       5.089479e+03, 5.291683e+03, 5.494575e+03, 5.698061e+03, 5.902058e+03],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_counter</span></div><div class='xr-var-dims'>(time_counter)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-15T16:38:42.580644864</div><input id='attrs-4285591a-b138-463b-99d1-1d41f964c0bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4285591a-b138-463b-99d1-1d41f964c0bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12aa296f-c359-4b22-a6c3-1b5edde405ed' class='xr-var-data-in' type='checkbox'><label for='data-12aa296f-c359-4b22-a6c3-1b5edde405ed' 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>axis :</span></dt><dd>T</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time axis</dd><dt><span>time_origin :</span></dt><dd>1900-01-01 00:00:00</dd><dt><span>bounds :</span></dt><dd>time_counter_bounds</dd><dt><span>cell_methods :</span></dt><dd>time_counter: mean</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-15T16:38:42.580644864&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_instant</span></div><div class='xr-var-dims'>(time_counter)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-28001667-af5c-4b38-936b-21273372f5fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28001667-af5c-4b38-936b-21273372f5fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2565a0f-fc9b-4387-bfb1-2bda69954e1b' class='xr-var-data-in' type='checkbox'><label for='data-d2565a0f-fc9b-4387-bfb1-2bda69954e1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time axis</dd><dt><span>time_origin :</span></dt><dd>1900-01-01 00:00:00</dd><dt><span>bounds :</span></dt><dd>time_instant_bounds</dd><dt><span>cell_methods :</span></dt><dd>time_counter: mean</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nav_lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ad9c13b9-655e-49a4-97ff-e8ec41d725e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad9c13b9-655e-49a4-97ff-e8ec41d725e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6172a906-4b79-4216-b41b-9da70555effa' class='xr-var-data-in' type='checkbox'><label for='data-6172a906-4b79-4216-b41b-9da70555effa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[1512000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nav_lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d5affc28-edf0-4a37-9846-6f47dcf39eed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5affc28-edf0-4a37-9846-6f47dcf39eed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d64e14f5-8fc1-4362-84b2-135233f01c33' class='xr-var-data-in' type='checkbox'><label for='data-d64e14f5-8fc1-4362-84b2-135233f01c33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[1512000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9743c655-61c9-4d29-9286-0f76e3ddb799' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9743c655-61c9-4d29-9286-0f76e3ddb799' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</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>deptht_bounds</span></div><div class='xr-var-dims'>(deptht, axis_nbounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e4d63798-4275-43c8-bb87-ffaa390ffed0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e4d63798-4275-43c8-bb87-ffaa390ffed0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e89a9eaf-01d5-4ccf-91a0-105008543569' class='xr-var-data-in' type='checkbox'><label for='data-e89a9eaf-01d5-4ccf-91a0-105008543569' 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>[150 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>so</span></div><div class='xr-var-dims'>(time_counter, deptht, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0e5066a1-6086-4ecb-a1c0-79032208f995' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e5066a1-6086-4ecb-a1c0-79032208f995' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13463eb3-f738-4fdf-8663-625a6a2b25aa' class='xr-var-data-in' type='checkbox'><label for='data-13463eb3-f738-4fdf-8663-625a6a2b25aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_water_practical_salinity</dd><dt><span>long_name :</span></dt><dd>salinity</dd><dt><span>units :</span></dt><dd>1e-3</dd><dt><span>online_operation :</span></dt><dd>instant</dd><dt><span>interval_operation :</span></dt><dd>1 d</dd><dt><span>interval_write :</span></dt><dd>1 d</dd><dt><span>cell_methods :</span></dt><dd>time: point time_counter: mean</dd></dl></div><div class='xr-var-data'><pre>[113400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thetao</span></div><div class='xr-var-dims'>(time_counter, deptht, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a81b425f-239b-4d95-b273-48924c269a6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a81b425f-239b-4d95-b273-48924c269a6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52a5eb3c-c5d1-4301-9663-4118f47993c2' class='xr-var-data-in' type='checkbox'><label for='data-52a5eb3c-c5d1-4301-9663-4118f47993c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_water_potential_temperature</dd><dt><span>long_name :</span></dt><dd>temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>online_operation :</span></dt><dd>instant</dd><dt><span>interval_operation :</span></dt><dd>1 d</dd><dt><span>interval_write :</span></dt><dd>1 d</dd><dt><span>cell_methods :</span></dt><dd>time: point time_counter: mean</dd></dl></div><div class='xr-var-data'><pre>[113400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_counter_bounds</span></div><div class='xr-var-dims'>(time_counter, axis_nbounds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-396f12a4-33d8-474b-b23f-e7145bfd605d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-396f12a4-33d8-474b-b23f-e7145bfd605d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ffacfd0-f22b-42a0-9439-62327b81329c' class='xr-var-data-in' type='checkbox'><label for='data-1ffacfd0-f22b-42a0-9439-62327b81329c' 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>cell_methods :</span></dt><dd>time_counter: mean</dd></dl></div><div class='xr-var-data'><pre>[2 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_instant_bounds</span></div><div class='xr-var-dims'>(time_counter, axis_nbounds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-74483357-9047-45d5-8210-b5c562d0d655' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74483357-9047-45d5-8210-b5c562d0d655' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fca325e-5c3b-4d5a-9a36-92c3e8ad57c2' class='xr-var-data-in' type='checkbox'><label for='data-8fca325e-5c3b-4d5a-9a36-92c3e8ad57c2' 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>cell_methods :</span></dt><dd>time_counter: mean</dd></dl></div><div class='xr-var-data'><pre>[2 values with dtype=datetime64[ns]]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f2c9fb67-70ae-4d08-a604-714982607deb' class='xr-section-summary-in' type='checkbox' /><label for='section-f2c9fb67-70ae-4d08-a604-714982607deb' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>CG8E7_1d_19991231_20000107_grid_T</dd><dt><span>description :</span></dt><dd>ocean T grid variables</dd><dt><span>title :</span></dt><dd>ocean T grid variables</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>timeStamp :</span></dt><dd>2025-May-19 07:47:52 GMT</dd><dt><span>uuid :</span></dt><dd>ecf6f7f7-6709-49be-a2b7-384bb7b98372</dd><dt><span>DOMAIN_number_total :</span></dt><dd>330</dd><dt><span>DOMAIN_size_global :</span></dt><dd>[1440 1050]</dd><dt><span>DOMAIN_type :</span></dt><dd>box</dd><dt><span>history :</span></dt><dd>Tue Sep 23 11:01:52 2025: ncks -v so,thetao,nav_lat,nav_lon,deptht NEMO_1m_200001_grid_T.nc NEMO_1m_200001_grid_T_subset.nc\n",
       "Mon May 26 11:53:52 2025: ncra ../DAILY_MONTHLY/2000/NEMO_1d_y2000m01_grid_T.nc -O NEMO_1m_200001_grid_T.nc\n",
       "Wed May 21 15:04:44 2025: ncrcat /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_19991231_20000107_grid_T_20000101-20000101.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_19991231_20000107_grid_T_20000102-20000102.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_19991231_20000107_grid_T_20000103-20000103.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_19991231_20000107_grid_T_20000104-20000104.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000105_20000112_grid_T_20000105-20000105.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000105_20000112_grid_T_20000106-20000106.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000105_20000112_grid_T_20000107-20000107.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000105_20000112_grid_T_20000108-20000108.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000105_20000112_grid_T_20000109-20000109.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000110_20000117_grid_T_20000110-20000110.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000110_20000117_grid_T_20000111-20000111.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000110_20000117_grid_T_20000112-20000112.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000110_20000117_grid_T_20000113-20000113.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000110_20000117_grid_T_20000114-20000114.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000115_20000122_grid_T_20000115-20000115.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000115_20000122_grid_T_20000116-20000116.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000115_20000122_grid_T_20000117-20000117.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000115_20000122_grid_T_20000118-20000118.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000115_20000122_grid_T_20000119-20000119.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000120_20000127_grid_T_20000120-20000120.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000120_20000127_grid_T_20000121-20000121.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000120_20000127_grid_T_20000122-20000122.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000120_20000127_grid_T_20000123-20000123.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000120_20000127_grid_T_20000124-20000124.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000125_20000201_grid_T_20000125-20000125.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000125_20000201_grid_T_20000126-20000126.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000125_20000201_grid_T_20000127-20000127.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000125_20000201_grid_T_20000128-20000128.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000125_20000201_grid_T_20000129-20000129.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000130_20000206_grid_T_20000130-20000130.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY/CG8E7_1d_20000130_20000206_grid_T_20000131-20000131.nc /work/cmcc/c-glors/CESM2/rea_archive/CG8E7/DAILY_MONTHLY/2000/NEMO_1d_y2000m01_grid_T.nc\n",
       "Mon 19 May 2025 11:55:27 AM : mpirun -n 55 python /work/cmcc/c-glors/GIT/py_nemo_rebuild/src/py_nemo_rebuild/nemo_rebuild.py -i CG8E7_1d_19991231_20000107_grid_T_20000101-20000101.nc</dd><dt><span>nemo_rebuild_version :</span></dt><dd>0.4.0 (15-05-2023)</dd><dt><span>NCO :</span></dt><dd>netCDF Operators version 5.0.6 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 919MB\n",
       "Dimensions:              (deptht: 75, axis_nbounds: 2, time_counter: 1,\n",
       "                          y: 1050, x: 1440)\n",
       "Coordinates:\n",
       "  * deptht               (deptht) float32 300B 0.5058 1.556 ... 5.902e+03\n",
       "  * time_counter         (time_counter) datetime64[ns] 8B 2000-01-15T16:38:42...\n",
       "    time_instant         (time_counter) datetime64[ns] 8B ...\n",
       "    nav_lat              (y, x) float32 6MB ...\n",
       "    nav_lon              (y, x) float32 6MB ...\n",
       "Dimensions without coordinates: axis_nbounds, y, x\n",
       "Data variables:\n",
       "    deptht_bounds        (deptht, axis_nbounds) float32 600B ...\n",
       "    so                   (time_counter, deptht, y, x) float32 454MB ...\n",
       "    thetao               (time_counter, deptht, y, x) float32 454MB ...\n",
       "    time_counter_bounds  (time_counter, axis_nbounds) datetime64[ns] 16B ...\n",
       "    time_instant_bounds  (time_counter, axis_nbounds) datetime64[ns] 16B ...\n",
       "Attributes:\n",
       "    name:                  CG8E7_1d_19991231_20000107_grid_T\n",
       "    description:           ocean T grid variables\n",
       "    title:                 ocean T grid variables\n",
       "    Conventions:           CF-1.6\n",
       "    timeStamp:             2025-May-19 07:47:52 GMT\n",
       "    uuid:                  ecf6f7f7-6709-49be-a2b7-384bb7b98372\n",
       "    DOMAIN_number_total:   330\n",
       "    DOMAIN_size_global:    [1440 1050]\n",
       "    DOMAIN_type:           box\n",
       "    history:               Tue Sep 23 11:01:52 2025: ncks -v so,thetao,nav_la...\n",
       "    nemo_rebuild_version:  0.4.0 (15-05-2023)\n",
       "    NCO:                   netCDF Operators version 5.0.6 (Homepage = http://..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#open 1 test file and inspect content\n",
    "T=xr.open_dataset('/home/esp-shared-a/Distribution/Workshops/OceanTransports2026/CGLORSv8_native/NEMO_1m_200001_grid_T_subset_fixed.nc')\n",
    "T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ddb680d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fea73c4de10>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "T.nav_lat.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f2bc8359",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "1f81184c",
   "metadata": {},
   "source": [
    "### Data needed\n",
    "\n",
    "For most workflows you need velocities, temperature, vertical thickness, and optionally salinity, sea-ice, tracer, and mesh metrics.\n",
    "\n",
    "First we have to select any section for the transport calculations. StraitFlux can either use predefined straits or user-defined sections.\\\n",
    "We will start with chosing a pre-defined section, later on we can define our own section by providing start and end coordinates (lon, lat) in degrees if it is a straight line or alternatively pass a list of coordinates if we want to follow an exact observational line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "36215ee1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Bering',\n",
       " 'Fram',\n",
       " 'Davis',\n",
       " 'Barents',\n",
       " 'RAPID',\n",
       " 'SAMBA',\n",
       " 'OSNAP',\n",
       " 'GSR',\n",
       " 'Makassar',\n",
       " 'Hudson',\n",
       " 'Hudson_NW',\n",
       " 'Färöer',\n",
       " 'Gibraltar',\n",
       " 'NIIC',\n",
       " 'IF',\n",
       " 'FS']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# list all available pre-defined sections\n",
    "line._available_sections()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2e23aaa7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# --- User settings ---------------------------------------------------------\n",
    "strait = \"Fram\"          # e.g. \"Fram\", \"GSR\", \"Bering\", \"OSNAP\", ...\n",
    "model = \"CGLORSv8\"\n",
    "time_start = \"2000-01\"\n",
    "time_end   = \"2000-12\"\n",
    "\n",
    "path_save = \"\"\n",
    "path_indices = \"\"\n",
    "path_mesh = \"\"\n",
    "\n",
    "# --- path to files ------------------------------------------------------\n",
    "path_f = \"/home/esp-shared-a/Distribution/Workshops/OceanTransports2026/CGLORSv8_native/\"\n",
    "file_u = path_f + \"NEMO_1m_2000*_grid_U_fixed.nc\"\n",
    "file_v = path_f + \"NEMO_1m_2000*_grid_V_fixed.nc\"\n",
    "file_t = path_f + \"NEMO_1m_2000*_grid_T_subset_fixed.nc\"\n",
    "file_s = path_f + \"NEMO_1m_2000*_grid_T_subset_fixed.nc\"\n",
    "\n",
    "# Vertical thicknesses.\n",
    "# If only file_z is supplied, StraitFlux can estimate U/V face thicknesses from T-cell thickness.\n",
    "file_z  = path_f + \"e3t_2.nc\"\n",
    "file_zu = path_f + \"e3u_2.nc\"   # optional but preferred if available\n",
    "file_zv = path_f + \"e3v_2.nc\"   # optional but preferred if available\n",
    "\n",
    "# Optional horizontal metrics.\n",
    "# If not supplied, StraitFlux calculates and caches mesh_dyu_MODEL.nc and mesh_dxv_MODEL.nc.\n",
    "mm = xr.open_dataset(path_f + \"mesh_mask.nc\")\n",
    "from StraitFlux.preprocessing import wrapper #StraitFlux.preprocessing\n",
    "mesh_dxv = wrapper(mm).dxv[0]       #use the wrapper to get same structure as StraitFlux expects\n",
    "mesh_dyu = wrapper(mm).dyu[0]       #use the wrapper to get same structure as StraitFlux expects\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ae43d23",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "c62fcff7",
   "metadata": {},
   "source": [
    "## 2. Basic line-integrated transports\n",
    "\n",
    "The function `line.transports()` integrates transports directly on the native model grid using the StraitFlux line-integration method.\n",
    "\n",
    "The most common `product` options are:\n",
    "\n",
    "- `\"volume\"`\n",
    "- `\"heat\"`\n",
    "- `\"salt\"`\n",
    "- `\"ice\"`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1c245943",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function transports in module StraitFlux.masterscript_line:\n",
      "\n",
      "transports(product, strait, model, time_start, time_end, file_u, file_v, file_t, file_z, file_zu=None, file_zv=None, mesh_dxv=0, mesh_dyu=0, coords=0, set_latlon=False, lon_p=0, lat_p=0, file_s='', file_sic='', file_sit='', file_tracer='', tracer_var='tracer', tracer_units='', Arakawa='', rho=1026, cp=3996, Tref=0, path_save='', path_indices='', path_mesh='', saving=True, user_rename_dict=None)\n",
      "    Calculation of Transports using line integration\n",
      "    \n",
      "    INPUT Parameters:\n",
      "    product (str): volume, heat, salt, tracer or ice\n",
      "    strait (str): desired oceanic strait, either pre-defined from indices file or new\n",
      "    model (str): desired CMIP6 model or reanalysis\n",
      "    time_start (str or int): starting year\n",
      "    time_end (str or int): ending year\n",
      "    file_u (str OR ): path + filename(s) of u field(s); use ice velocities (ui) for ice transports; (multiple files possible, use *; must be possible to combine files over time coordinate)\n",
      "    file_v (str): path + filename(s) of v field(s); use ice velocities (vi) for ice transports; (multiple files possible, use *)\n",
      "    file_t (str): path + filename(s) of temperature field(s); (multiple files possible, use *)\n",
      "    file_z (str): path + filename(s) of cell thickness field(s); (multiple files possible, use *)\n",
      "    \n",
      "    OPTIONAL:\n",
      "    mesh_dxu/mesh_dyv (array): arrays containing the exact grid cell dimensions at northern and eastern grid cell faces of u and v cells (dxv and dyu); if not supplied will be calculated\n",
      "    coords (tuple): coordinates for strait, if not pre-defined: (latitude_start,longitude_start,latitude_end,longitude_end)\n",
      "    set_latlon: set True if you wish to pass arrays of latitudes and longitudes\n",
      "    lon (array): longitude coordinates for strait, if not pre-defined. (range -180 to 180; same length as lat needed!)\n",
      "    lat (array): latitude coordinates for strait, if not pre-defined. (range -90 to 90; same length as lon needed!)\n",
      "    file_s (str): only needed for salinity transports; path + filename(s) of salinity field(s); (multiple files possible, use *)\n",
      "    file_sic (str): only needed for ice transports; path + filename(s) of sea ice concentration field(s); (multiple files possible, use *)\n",
      "    file_sit (str): only needed for ice transports; path + filename(s) of sea ice thickness field(s); (multiple files possible, use *)\n",
      "    file_tracer (str): only needed for tracer transports; path + filename(s) of tracer field(s); (multiple files possible, use *)\n",
      "    tracer_var (str): only needed for tracer transports; variable name of the tracer after preprocessing\n",
      "    tracer_units (str): optional units of the tracer concentration; output units are tracer_units * m3 s-1\n",
      "    Arakawa (str): Arakawa-A, Arakawa-B or Arakawa-C; only needed if automatic check fails\n",
      "    rho (int or array): default = 1026 kg/m3\n",
      "    cp (int or array): default = 3996 J/(kgK)\n",
      "    Tref (int or array): default = 0°C\n",
      "    path_save (str): path to save transport data\n",
      "    path_indices (str): path to save indices data\n",
      "    path_mesh (str): path to save mesh data\n",
      "    \n",
      "    \n",
      "    RETURNS:\n",
      "    volume, heat, salt, tracer or ice transports through specified strait for specified model\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(line.transports)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37dae519",
   "metadata": {},
   "source": [
    "### Optional: user-defined variable names\n",
    "\n",
    "If your files use variable names that are not already known to StraitFlux, provide a rename dictionary. User-supplied names are tried before the defaults.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9c4e2ae6",
   "metadata": {},
   "outputs": [],
   "source": [
    "user_rename_dict = {\n",
    "    # Examples only; adapt to your files.\n",
    "    # \"uo\": [\"u\", \"vozocrtx\"],\n",
    "    # \"vo\": [\"v\", \"vomecrty\"],\n",
    "    # \"thetao\": [\"temp\", \"votemper\"],\n",
    "    # \"so\": [\"salt\", \"vosaline\"],\n",
    "    # \"thkcello\": [\"e3t\", \"e3t_0\"],\n",
    "}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "756bfb9c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "read t, u and v fields\n",
      "load t, u and v fields\n",
      "[########################################] | 100% Completed | 19.34 s\n",
      "[########################################] | 100% Completed | 19.35 s\n",
      "[########################################] | 100% Completed | 19.86 s\n",
      "[########################################] | 100% Completed | 8.15 ss\n",
      " ...calculating transport\n",
      "calc u\n",
      "calc v\n",
      "calc line\n"
     ]
    }
   ],
   "source": [
    "volume = line.transports(\n",
    "    \"volume\", #'heat', 'salt', 'tracer'\n",
    "    strait,\n",
    "    model,\n",
    "    time_start,\n",
    "    time_end,\n",
    "    file_u,\n",
    "    file_v,\n",
    "    file_t,\n",
    "    file_z,\n",
    "    file_zu=file_zu,\n",
    "    file_zv=file_zv,\n",
    "    mesh_dxv=mesh_dxv,\n",
    "    mesh_dyu=mesh_dyu,\n",
    "    path_save=path_save,\n",
    "    path_indices=path_indices,\n",
    "    path_mesh=path_mesh,\n",
    "    user_rename_dict=user_rename_dict,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e175e1d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.image as mpimg\n",
    "img = mpimg.imread(f'{strait}_{model}_indices.png')\n",
    "plt.imshow(img)\n",
    "plt.axis(\"off\")  # Hide axes\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ac2d9d30",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "read t, u and v fields\n",
      "load t, u and v fields\n",
      "[########################################] | 100% Completed | 18.46 s\n",
      "[########################################] | 100% Completed | 19.53 s\n",
      "[########################################] | 100% Completed | 20.20 s\n",
      "[########################################] | 100% Completed | 8.37 sms\n",
      " ...calculating transport\n",
      "rolling T\n",
      "calc u\n",
      "calc v\n",
      "calc line\n"
     ]
    }
   ],
   "source": [
    "heat = line.transports(\n",
    "    \"heat\",\n",
    "    strait,\n",
    "    model,\n",
    "    time_start,\n",
    "    time_end,\n",
    "    file_u,\n",
    "    file_v,\n",
    "    file_t,\n",
    "    file_z,\n",
    "    file_zu=file_zu,\n",
    "    file_zv=file_zv,\n",
    "    mesh_dxv=mesh_dxv,\n",
    "    mesh_dyu=mesh_dyu,\n",
    "    rho=1026.0,\n",
    "    cp=3996.0,\n",
    "    Tref=0.0,\n",
    "    path_save=path_save,\n",
    "    path_indices=path_indices,\n",
    "    path_mesh=path_mesh,\n",
    "    user_rename_dict=user_rename_dict,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "53b27347",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "read t, u and v fields\n",
      "load t, u and v fields\n",
      "[########################################] | 100% Completed | 17.66 s\n",
      "[########################################] | 100% Completed | 19.80 s\n",
      "[########################################] | 100% Completed | 19.78 s\n",
      "[########################################] | 100% Completed | 8.06 sms\n",
      " ...calculating transport\n",
      "rolling S\n",
      "calc u\n",
      "calc v\n",
      "calc line\n"
     ]
    }
   ],
   "source": [
    "salt = line.transports(\n",
    "    \"salt\",\n",
    "    strait,\n",
    "    model,\n",
    "    time_start,\n",
    "    time_end,\n",
    "    file_u,\n",
    "    file_v,\n",
    "    file_t,\n",
    "    file_z,\n",
    "    file_s=file_s,\n",
    "    file_zu=file_zu,\n",
    "    file_zv=file_zv,\n",
    "    mesh_dxv=mesh_dxv,\n",
    "    mesh_dyu=mesh_dyu,\n",
    "    path_save=path_save,\n",
    "    path_indices=path_indices,\n",
    "    path_mesh=path_mesh,\n",
    "    user_rename_dict=user_rename_dict,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abccf697",
   "metadata": {},
   "source": [
    "### Plot the transport time series\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "018c919e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 700x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(3, 1, figsize=(7,5), sharex=True)\n",
    "\n",
    "# Volume\n",
    "(volume[model] / 1e6).plot(ax=ax[0], color=\"tab:blue\", marker=\"o\")\n",
    "ax[0].set_ylabel(\"Sv\")\n",
    "ax[0].set_title(\"Volume transport\")\n",
    "ax[0].grid(True)\n",
    "\n",
    "# Heat\n",
    "(heat[model] / 1e15).plot(ax=ax[1], color=\"tab:red\", marker=\"o\")\n",
    "ax[1].set_ylabel(\"PW\")\n",
    "ax[1].set_title(\"Heat transport\")\n",
    "ax[1].grid(True)\n",
    "\n",
    "# Salt\n",
    "(salt[model] / 1e9).plot(ax=ax[2], color=\"tab:green\", marker=\"o\")\n",
    "ax[2].set_ylabel(r\"$10^9$ kg s$^{-1}$\")\n",
    "ax[2].set_title(\"Salt transport\")\n",
    "ax[2].set_xlabel(\"Time\")\n",
    "ax[2].grid(True)\n",
    "\n",
    "fig.suptitle(f\"{strait} transports {model}\", fontsize=14)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84ea6197",
   "metadata": {},
   "source": [
    "## 3. Generic tracer transports\n",
    "\n",
    "`product=\"tracer\"` can be used for any scalar tracer: DIC, oxygen, nitrate, phosphate, passive tracers, age tracers, etc.\n",
    "\n",
    "The output units are approximately: $[\\mathrm{tracer}] \\times \\mathrm{m^3\\ s^{-1}}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "a6791a92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\nfile_tracer = \"/path/to/dissic_1993*.nc\"\\n\\ntracer_transport = line.transports(\\n    \"tracer\",\\n    strait,\\n    model,\\n    time_start,\\n    time_end,\\n    file_u,\\n    file_v,\\n    file_t,\\n    file_z,\\n    file_zu=file_zu,\\n    file_zv=file_zv,\\n    file_tracer=file_tracer,\\n    tracer_var=\"dissic\",          # variable name after preprocessing\\n    tracer_units=\"mol m-3\",       # optional metadata\\n    mesh_dxv=mesh_dxv,\\n    mesh_dyu=mesh_dyu,\\n    path_save=path_save,\\n    path_indices=path_indices,\\n    path_mesh=path_mesh,\\n    user_rename_dict=user_rename_dict,\\n)\\n'"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "file_tracer = \"*.nc\"\n",
    "\n",
    "tracer_transport = line.transports(\n",
    "    \"tracer\",\n",
    "    strait,\n",
    "    model,\n",
    "    time_start,\n",
    "    time_end,\n",
    "    file_u,\n",
    "    file_v,\n",
    "    file_t,\n",
    "    file_z,\n",
    "    file_zu=file_zu,\n",
    "    file_zv=file_zv,\n",
    "    file_tracer=file_tracer,\n",
    "    tracer_var=\"co2\",          # variable name\n",
    "    tracer_units=\"mol m-3\",       # optional metadata\n",
    "    mesh_dxv=mesh_dxv,\n",
    "    mesh_dyu=mesh_dyu,\n",
    "    path_save=path_save,\n",
    "    path_indices=path_indices,\n",
    "    path_mesh=path_mesh,\n",
    "    user_rename_dict=user_rename_dict,\n",
    ")\n",
    "'''\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a74f8407",
   "metadata": {},
   "source": [
    "## 4. Sea-ice transports\n",
    "\n",
    "For sea-ice transports, use sea-ice velocity files as `file_u` and `file_v`, and supply sea-ice concentration and thickness.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a52e4c20",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\nfile_ui = \"/path/to/seaice_u_1993*.nc\"\\nfile_vi = \"/path/to/seaice_v_1993*.nc\"\\nfile_sic = \"/path/to/siconc_1993*.nc\"\\nfile_sit = \"/path/to/sithick_1993*.nc\"\\n\\nice = line.transports(\\n    \"ice\",\\n    strait,\\n    model,\\n    time_start,\\n    time_end,\\n    file_ui,\\n    file_vi,\\n    file_t,       # not used for ice physics, but kept for function signature\\n    file_z,       # not used for ice physics\\n    file_sic=file_sic,\\n    file_sit=file_sit,\\n    mesh_dxv=mesh_dxv,\\n    mesh_dyu=mesh_dyu,\\n    path_save=path_save,\\n    path_indices=path_indices,\\n    path_mesh=path_mesh,\\n    user_rename_dict=user_rename_dict,\\n)\\n'"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "file_ui = \"\"\n",
    "file_vi = \"\"\n",
    "file_sic = \"\"\n",
    "file_sit = \"\"\n",
    "\n",
    "ice = line.transports(\n",
    "    \"ice\",\n",
    "    strait,\n",
    "    model,\n",
    "    time_start,\n",
    "    time_end,\n",
    "    file_ui,\n",
    "    file_vi,\n",
    "    file_t,       # not used for ice physics, but kept for function signature\n",
    "    file_z,       # not used for ice physics\n",
    "    file_sic=file_sic,\n",
    "    file_sit=file_sit,\n",
    "    mesh_dxv=mesh_dxv,\n",
    "    mesh_dyu=mesh_dyu,\n",
    "    path_save=path_save,\n",
    "    path_indices=path_indices,\n",
    "    path_mesh=path_mesh,\n",
    "    user_rename_dict=user_rename_dict,\n",
    ")\n",
    "'''\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fac84640",
   "metadata": {},
   "source": [
    "## 5. Cross-sections\n",
    "\n",
    "The cross-section functions use the vector-projection method. This is useful when you want the vertical structure of velocity, temperature, salinity, or transport across a section, not just one integrated number.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f6ac9fbd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[########################################] | 100% Completed | 2.85 sms\n",
      "[########################################] | 100% Completed | 3.04 sms\n",
      "[########################################] | 100% Completed | 3.35 sms\n",
      "calculating indices...\n",
      "0.1\n",
      "0.5719301700592041\n",
      ".. calculating normal vectors\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████| 204/204 [00:19<00:00, 10.22it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ".. calculating direct vectors\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████| 204/204 [00:00<00:00, 575025.55it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27.352331399917603\n",
      "read t, u and v fields\n",
      "load t, u and v fields\n",
      "[########################################] | 100% Completed | 18.54 s\n",
      "[########################################] | 100% Completed | 19.03 s\n",
      "[########################################] | 100% Completed | 19.80 s\n",
      "[########################################] | 100% Completed | 8.27 sms\n",
      "calc dz at cell faces\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████| 17/17 [00:00<00:00, 777.86it/s]\n",
      "100%|████████████████████████████████████████| 56/56 [00:00<00:00, 2720.48it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculating regridder\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.924004316329956\n",
      "0.16184425354003906\n",
      "regridding\n",
      "3.263427734375\n"
     ]
    }
   ],
   "source": [
    "uv_cross = cross.vel_projection(\n",
    "    strait,\n",
    "    model,\n",
    "    time_start,\n",
    "    time_end,\n",
    "    file_u,\n",
    "    file_v,\n",
    "    file_t,\n",
    "    file_z,\n",
    "    file_zu=file_zu,\n",
    "    file_zv=file_zv,\n",
    "    mesh_dxv=mesh_dxv,\n",
    "    mesh_dyu=mesh_dyu,\n",
    "    path_save=path_save,\n",
    "    path_indices=path_indices,\n",
    "    path_mesh=path_mesh,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "21af3351",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(9, 4))\n",
    "ax.set_facecolor(\"lightgray\")  # or \"0.8\", \"#d3d3d3\", etc.\n",
    "levels=np.arange(-0.18, 0.2, 0.02)\n",
    "cf = plt.contourf(uv_cross.x/1e3, uv_cross.depth, uv_cross.uv.mean(\"time\"), levels=levels,extend='both', cmap=\"RdBu_r\")\n",
    "cbar = plt.colorbar(cf, ax=ax)\n",
    "cbar.set_label(\"Velocity (m s$^{-1}$)\")\n",
    "plt.ylim(2900,0)\n",
    "ax.set_title(f\"{strait} projected velocity section\")\n",
    "ax.set_xlabel(\"x [km]\")\n",
    "ax.set_ylabel(\"Depth (m)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "21ac73c4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "read t and/or s fields\n",
      "[########################################] | 100% Completed | 17.74 s\n",
      "[########################################] | 100% Completed | 1.72 sms\n",
      "calculating regridder\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████| 75/75 [00:04<00:00, 15.47it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "regridding\n",
      "read t and/or s fields\n",
      "[########################################] | 100% Completed | 15.84 s\n",
      "[########################################] | 100% Completed | 1.62 sms\n",
      "calculating regridder\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████| 75/75 [00:04<00:00, 15.59it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "regridding\n"
     ]
    }
   ],
   "source": [
    "T_section = cross.TS_interp(\n",
    "    \"T\",\n",
    "    strait,\n",
    "    model,\n",
    "    time_start,\n",
    "    time_end,\n",
    "    file_u,\n",
    "    file_t,\n",
    "    path_save=path_save,\n",
    "    path_indices=path_indices,\n",
    "    path_mesh=path_mesh,\n",
    ")\n",
    "\n",
    "S_section = cross.TS_interp(\n",
    "    \"S\",\n",
    "    strait,\n",
    "    model,\n",
    "    time_start,\n",
    "    time_end,\n",
    "    file_u,\n",
    "    file_t,\n",
    "    file_s=file_s,\n",
    "    path_save=path_save,\n",
    "    path_indices=path_indices,\n",
    "    path_mesh=path_mesh,\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9f8cc870",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2, figsize=(14, 4), sharey=True)\n",
    "\n",
    "# Temperature\n",
    "levelsT = np.arange(-3.5, 3.6, 0.2)\n",
    "cf1 = ax[0].contourf(\n",
    "    T_section.T.mean(\"time\").x/1e3,\n",
    "    T_section.T.mean(\"time\").depth,\n",
    "    T_section.T.mean(\"time\"),\n",
    "    levels=levelsT,\n",
    "    extend=\"both\",\n",
    "    cmap=\"RdBu_r\",\n",
    ")\n",
    "cbar1 = plt.colorbar(cf1, ax=ax[0])\n",
    "cbar1.set_label(\"Temperature (°C)\")\n",
    "ax[0].set_ylim(2900, 0)\n",
    "ax[0].set_title(\"Temperature\")\n",
    "ax[0].set_ylabel(\"Depth (m)\")\n",
    "ax[0].set_xlabel(\"x [km]\")\n",
    "\n",
    "# Salinity\n",
    "levelsS = np.arange(34, 35.1, 0.05)\n",
    "cf2 = ax[1].contourf(\n",
    "    S_section.S.mean(\"time\").x/1e3,\n",
    "    S_section.S.mean(\"time\").depth,\n",
    "    S_section.S.mean(\"time\"),\n",
    "    levels=levelsS,\n",
    "    extend=\"both\",\n",
    "    cmap=\"viridis\",\n",
    ")\n",
    "cbar2 = plt.colorbar(cf2, ax=ax[1])\n",
    "cbar2.set_label(\"Salinity (g kg$^{-1}$)\")\n",
    "ax[1].set_ylim(2900, 0)\n",
    "ax[1].set_title(\"Salinity\")\n",
    "ax[1].set_xlabel(\"x [km]\")\n",
    "\n",
    "fig.suptitle(f\"{strait} mean hydrographic section\", fontsize=14)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e290f35b",
   "metadata": {},
   "source": [
    "### comparison between the line integration and vector projection methods:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a8499b9d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Heat transport from vector projection method\n",
    "heat_vp = (\n",
    "    uv_cross.uv\n",
    "    * uv_cross.dx_int\n",
    "    * uv_cross.dz_int\n",
    "    * T_section.T.values\n",
    "    * 1023\n",
    "    * 3996\n",
    ").sum(dim=(\"depth\", \"x\")) / 1e15\n",
    "\n",
    "# Heat transport from line integration method\n",
    "heat_line = heat[model] / 1e15\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(9, 4))\n",
    "\n",
    "heat_vp.plot(\n",
    "    ax=ax,\n",
    "    marker=\"o\", c='b',\n",
    "    label=\"Vector projection\",\n",
    ")\n",
    "\n",
    "heat_line.plot(\n",
    "    ax=ax,\n",
    "    marker=\"s\", c='r',\n",
    "    label=\"Line integration\",\n",
    ")\n",
    "\n",
    "ax.set_ylabel(\"Heat transport (PW)\")\n",
    "ax.set_title(f\"{strait}: vector projection vs. line integration\")\n",
    "ax.grid(True)\n",
    "ax.legend()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb50cc1b",
   "metadata": {},
   "source": [
    "The line-integration and vector-projection methods yield nearly identical transport estimates, demonstrating that the vector-projection approach provides an accurate approximation of the native-grid calculation. Small differences arise because the line-integration method follows the native model grid exactly, whereas the vector-projection method projects velocities onto an idealized section. For quantitative transport calculations, the line-integration method is therefore recommended whenever possible. The vector-projection method is particularly useful for visualizing velocity fields and constructing continuous cross-sections."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de510e77",
   "metadata": {},
   "source": [
    "## 6. Overturning diagnostics and heat-transport decomposition\n",
    "\n",
    "`transports_overturning()` returns line-integrated transport diagnostics plus overturning streamfunctions.\\\n",
    "Without salinity, the function returns depth-space diagnostics.\\\n",
    " With salinity, it also returns density-space diagnostics.\n",
    "StraitFlux uses the TEOS-10 equation of state via the official GSW Python library. Practical Salinity and potential temperature are automatically converted to Absolute Salinity and Conservative Temperature unless the user specifies otherwise. Potential density anomaly referenced to the sea surface is then used for the density-space calculations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ae4daf32",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "read and load surface fields for indices/grid check\n",
      "[########################################] | 100% Completed | 507.41 ms\n",
      "[########################################] | 100% Completed | 2.94 sms\n",
      "[########################################] | 100% Completed | 3.13 sms\n",
      "calc indices\n",
      "calculating indices...\n",
      "0.1\n",
      "line good\n",
      "line good\n",
      "read t, u, v and optional s fields\n",
      "load final section subset\n",
      "[########################################] | 100% Completed | 30.05 s\n",
      "[########################################] | 100% Completed | 35.28 s\n",
      "[########################################] | 100% Completed | 36.51 s\n",
      "[########################################] | 100% Completed | 8.48 ss\n",
      "[########################################] | 100% Completed | 33.16 s\n",
      "[########################################] | 100% Completed | 8.26 sms\n",
      "[########################################] | 100% Completed | 7.96 sms\n"
     ]
    }
   ],
   "source": [
    "strait='OSNAP'\n",
    "ov = line.transports_overturning(\n",
    "    strait,\n",
    "    model,\n",
    "    time_start,\n",
    "    time_end,\n",
    "    file_u,\n",
    "    file_v,\n",
    "    file_t,\n",
    "    file_z,\n",
    "    file_s=file_s,          # supply salinity to enable density-space MOC\n",
    "    file_zu=file_zu,\n",
    "    file_zv=file_zv,\n",
    "    mesh_dxv=mesh_dxv,\n",
    "    mesh_dyu=mesh_dyu,\n",
    "    path_save=path_save,\n",
    "    path_indices=path_indices,\n",
    "    path_mesh=path_mesh,\n",
    "    sigmin=23.0,            # minimum density for overturning calculation\n",
    "    sigstp=0.02,            # density bin width for overturning calculation\n",
    "    nbins=270,              # number of density bins for overturning calculation\n",
    "    user_rename_dict=user_rename_dict,\n",
    "    return_diagnostics=False,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "2cb2863a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['volume_transport_Sv',\n",
       " 'overturning_depth_layer_Sv',\n",
       " 'overturning_depth_streamfunction_Sv',\n",
       " 'MOC_depth_Sv',\n",
       " 'heat_total_PW',\n",
       " 'heat_overturning_depth_PW',\n",
       " 'heat_gyre_depth_PW',\n",
       " 'salt_total',\n",
       " 'salt_overturning_depth',\n",
       " 'salt_gyre_depth',\n",
       " 'overturning_density_bin_Sv',\n",
       " 'overturning_density_streamfunction_Sv',\n",
       " 'MOC_density_Sv',\n",
       " 'heat_overturning_density_PW',\n",
       " 'heat_gyre_density_PW',\n",
       " 'salt_overturning_density',\n",
       " 'salt_gyre_density']"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Common output variables\n",
    "list(ov.data_vars)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "16a63116",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAq8AAAE8CAYAAADue1jtAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjExLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlcelbwAAAAlwSFlzAAAPYQAAD2EBqD+naQAAf+JJREFUeJzt3XdYU9cbwPFvwt4IyBJE3Irg3qtO3LXWUVdtq922tfvXabW7du+h1lq1tWqXs1XrqNZRcSDiFhUERECWrJDc3x9XUmMAUYEEeD/Pw2Ny70num1wMb859zzkaRVEUhBBCCCGEqAa0lg5ACCGEEEKI8pLkVQghhBBCVBuSvAohhBBCiGpDklchhBBCCFFtSPIqhBBCCCGqDUlehRBCCCFEtSHJqxBCCCGEqDYkeRVCCCGEENWGJK9CCFFLZWdns27dOs6fP2/pUGqVQ4cO8ddff1k6DCGqLY2ssCVE7ZCRkcGRI0fIz88nODiYRo0aldk+OTmZ06dPY2trS+PGjfH09DRrs337drKzs2nSpInZ8+l0OjZu3EhoaCjNmjUr8Rh79+4lJSWFtm3b4ufnV2Kb4mMAaDQaHB0dady4MfXq1SvHq7Y+f/31F35+foSFhVk6FPbv30/btm1ZtmwZo0ePtnQ4JcrMzGTHjh20a9cOX19fS4dTbocPH+bcuXP079/fbN+0adP49ddfSU1NtUBkQtQAihCiRouLi1NGjhyp2NvbK+3atVN69+6teHl5KU2aNFGWL19u1j46Olrp27evYm9vr7Rv317p2rWr4uDgoAwcOFD5+++/TdqGhYUpgNKyZUulqKjIZN+FCxcUQHnyySdLjKugoEDx9vZWAOWRRx4pNf6wsDDFxcVFiYyMVCIjI5W2bdsqWq1W6du3rxIfH38D74hleXt7K1OnTrV0GIqiKMrJkyeVyMhIs/NqTXbs2KEAyi+//GLpUK7Lww8/rLi4uJS4b+rUqYq3t3cVRyREzSFlA0LUYMePH6dTp04kJCRw+PBhoqKi2Lx5M8nJyYwePZrRo0fzwQcfGNtnZWXRv39/kpOTOXXqFHv27OGff/7hxIkTaLVaFi1aZHYMe3t7YmNjmT9//nXF9ssvv5CWlkbfvn1ZtGgR+fn5pbYNCgpi3bp1rFu3jr1797Jp0ya2bt3KuHHjruuYwlTDhg1Zt24dPXr0sHQoQghRbpK8ClGDTZ48maKiIlavXk3Dhg2N2+3s7HjjjTcYP348Tz/9NIcOHQLUS9opKSnMmDHD5LJ8UFAQq1atYuzYsWbHCA8Pp1evXsycOZNLly6VO7ZvvvmGrl278vnnn3Px4kVWrFhR7sf26tWLgQMH8s8//5SrXjMuLo5NmzYRFRWFTqcz2bdhwwb2799f4uNiYmL4888/zbanpqaydetWtm3bZixpuPo5Dx8+DMCFCxfYsmULx48fZ926deh0OhISEozJ+K5duwAoKipi3bp1xMXFmT3fjh072LNnzzWPcerUKdLT01m3bp3xkvSxY8fYvHkzKSkpZs9bUs3r9Ty+WG5uLtu2bWPPnj3o9Xp0Oh3r1q3j9OnTpT7mSnFxcWzdupXY2FiT85OcnMzOnTsB2Ldvn/E9K36Pro71+PHjrF+/3uScFBYWsmfPHjZt2sSZM2fMjn1l/WlhYSE7duxg586dFBYWlhpvfHw8mzdvNr6+M2fOsG7dOuNj9u7dy9mzZ9Hr9caY161bR0FBgdlzlfeYQogrWLrrVwhROXbv3q0AyuOPP15qm/379yuA8tBDDymKoiirV69WAOXjjz8u1zHCwsKU9u3bK7t27VIAZdasWcZ9ZZUNnDx5UtFoNMr333+vKIqi9O3bV+ndu3epx2jWrJnZ9gkTJiiAcvz48VLjO3v2rNKzZ0/FyclJ6dy5sxIYGKjUrVtX+eGHH4xthg0bpvj5+Sk6nc7ksQaDQWnUqJHSp08f47aMjAxlwoQJir29vdKmTRslIiJCcXFxUd566y2Tx7q4uCgPP/yw8vrrrytNmjRRwsLClJdfflmJjIxU7OzslKCgIGMZRPH7c/HiRQVQ3nzzTbPX0b59e6Vfv37XPMarr76qbNq0SQGUn3/+WRkzZozSpk0bpVmzZoqdnZ3y0UcfmTzHvn37FEBZtmyZcdv1PF5RFOWHH35QPDw8lMDAQKVLly5Ku3btjL8Pc+bMKfXcKIqiJCYmKl26dFHc3d2Vnj17KhEREUr9+vWVxYsXK4qiKJs3b1a6dOmiAErbtm2N79nSpUtNYl22bJly6623Kq1bt1b8/PyUffv2KYqiKJ988olSp04dJSQkROnWrZvi6uqqDB06VElPTzfGUHwJf9++fUqrVq2Ubt26KV5eXkpwcLBy6NAhk3gLCwuVu+66S7GxsVFat26thIWFKffee6/y3nvvKYCSlJSkKIqivPzyy0r9+vUVGxsbY8yRkZHKhQsXrvuYQghzkrwKUUN98MEHCqCsWLGi1DYGg0Fxc3NTWrdurSiKomRmZir16tVT6tatq8yfP19JTU0t8xjFyauiKMqYMWMUV1dXJTk5WVGUspPX559/XvHx8VHy8/MVRVGU5cuXK4By7NixEo9xdfKan5+vNGjQQPHw8FAKCwtLjE2n0ylhYWFKaGioEhcXpyiKouj1euWBBx5QtFqtsnnzZkVRFOXXX39VAOXXX381eXxxYrRo0SLjtj59+igBAQFKdHS0cdvvv/+uaDQaZeHChcZtLi4uSosWLZRXXnnFuK04KSmt5vVGkteSjlEcd5cuXZR//vnHuO+BBx5QHBwcTOqEy0pey/t4W1tbZdq0aYper1cURVHOnDmjDBs2rFzJ6+TJk5WGDRsqmZmZxm3nz59Xvv32W+P9smpei2Nt3769snXrVkVR1PcxISFB+fLLLxVA+eSTT4ztz507pzRt2lQZMmSIcdvUqVMVNzc3ZfLkyUpGRoaiKOrvbkhIiBIZGWlyvGeffVaxtbVV/vjjD+O2H3/8UWnRooVJ8qoo1655Le8xhRDmJHkVooZ67rnnFOCag3EaNmyoBAQEGO8fPnxYufXWWxU7OztFo9Eo9evXVyZPnqysW7fO7LFXJq8nTpxQ7O3tlQceeEBRlNKTV51OpwQGBirPPvus2bZnnnmmxGMEBQUpa9euVdauXassXLhQ6dWrl6LRaJSvv/661Nf122+/KYBJUqkoinLp0iXF29vbmMDodDrF399fGTFihEm7yZMnK56enkpeXp6iKIqyYcMGBVDmzp1rdqzhw4cbvwAoippYhoSEmA1iU5SKTV5LOkZxQnd1j/vRo0cVQJk3b55xW1nJa3keP3XqVMXFxcWYgBVbsGBBuZLXnj17Kp07dy6zTXmS1/vvv99ku16vV/z8/JT+/fubPWbx4sUKoBw+fNj4GgAlKirKpN1LL72kaDQa4xeswsJCxc3NTbnjjjvMnrN///7XnbyW55hCiJLZVkotghDC4pycnADKHAhVvN/Z2dl4v3nz5vz666/k5uYSHR3Nnj17WLhwIYMGDeKRRx7h448/LvF5GjVqxAMPPMDnn3/OjBkz8Pb2LrHd6tWrSUxMJCQkhHXr1hm3d+7cmQULFvDaa69hZ2dn8piLFy/y4YcfAuDo6EjHjh15//33ad++famvq7hGtHv37ibbnZ2dadu2LVFRUQDY2toyZcoU3nvvPZKTk/H39yczM5Ply5dzzz334OjoCMC2bdsA0Gq1bNiwAUX98m98zoMHD2IwGNBq1aEEHTp0wMbGptT4KkJZx+jYsaPJ/ZCQEECt1yyP8jw+KiqKZs2a4eHhUeZjSzNmzBgeffRRunTpwpgxY+jduzft2rUzvofl1aVLF5P7x48f5/z58wwcONB4rgAURSErKwtQpwlr3rw5oNaAt2nTxuQ5QkJCUBSFhIQEGjVqxLFjx8jOzqZTp05mx+/YsSMbNmy4rpjLc0whRMkkeRWihmrRogUAsbGxJc41Cercr0lJSQwdOtRsn7OzM126dKFLly48/PDDDB48mE8++YSHHnrI+Ef/ai+//DLfffcdzz77LHPnzi2xzdy5c2ncuDG//fab2b6cnBxWrlzJqFGjTLYXzzZwPYqTdldXV7N9bm5u5OXlGe9PnTqVt99+2xj7Dz/8QF5eHlOnTjW2KR6MtnjxYmxtzT86BwwYQGFhoTHZLW3e2tIUJ2xKCVNvXz3IrFhZx6hTp47JfQcHBwCT112W8jy+oKCAunXrmj22pPe8JI888gjNmzdn8eLFfPbZZzz11FP4+fnx/vvvM2HChHI9B5i/D8XnKioqqsSBZpGRkSavz93d3Sxhvvr1Fg+2Kum1lff1Xqk8xxRClEySVyFqqAEDBuDu7s4PP/zAo48+WmKbH374AUVRjBPUX7p0CRcXF7N2Go2G/v3788cff3D06NFSk1dvb2/+97//8dxzz3HXXXeZ7T937hxr165lxYoV3HrrrWb7x4wZwzfffGOWvN6I+vXrA3Dq1Cmzye1Pnjxp7EkEaNKkCb169eLbb7/l2WefZf78+bRt25a2bdsa2xTP1vD222+X2eNbTKPRXNd2d3d3HB0dSUtLM9luMBg4ffp0iUliac9VVYKDgzly5IjZ9vLOMgDq7+mAAQMA9VxNmzaNKVOm0LdvX/z9/cv1Gq9uExISglarZciQIcyZM6fcsZQlODgYKPm1lbTN0udGiJpMpsoSooby8PBg1qxZ7Ny502Qu12LHjx/npZdeomPHjsZernXr1vHoo4+WWGqwZcsWgFIT12IzZswgODiY//3vf2b75s+fj1arpW/fviU+dvDgwfz555+cPXv2mq/vWkaMGIGdnR1ffPGFyfa///6b6OhosxWlpk2bxtGjR/nyyy/5999/TXpdAW6//Xbc3Nx49913SzxeWVNJXcnLy6vE6bUAWrVqZXyfiy1ZsqTEKZaswahRozh79izr16832b5w4cJyPf7q96xhw4aMHTuWoqIi4/RdXl5eAKW+ZyXx9vZm+PDhLFy4sMTzkp6ejl6vL/fzAdStW5cePXqYzUmcmZnJ77//btbey8uLvLy86z6OEOLapOdViBpsxowZZGZm8swzz/D3338zatQo3Nzc2LNnD5988gmtWrVixYoVxhpTLy8vvvnmG1atWsW0adNo2bIl6enpLFu2jHXr1vHcc8+VutRrMUdHR1599VWznldFUZg/fz7du3fHzc2txMcOGjQIg8HA/PnzeeWVV27qtdevX58PPviARx55hKKiIkaMGMGZM2d444036N69O88884xJ+9GjR/PII48wY8YMHB0dzS5b161blx9//JFx48bRp08fxo8fT926dYmLi2Pt2rWEhISUWipxpT59+rB06VLmz59PYGAgderUoXPnzgC88MIL3Hbbbdx1110MHTqU6OhokpOTadWq1U29F5Vl6tSp/PTTT4wePZrnn3+e0NBQVq9eTdOmTYFr9z7edttt1KtXj969exMUFMSZM2d466236NOnDxEREQCEhobSoEEDPvvsM5ydnXFxcaFZs2aEhoaW+dxff/01kZGRtG3blunTp9OsWTPS0tLYs2cP69at4+jRo9ddk/zZZ5/Rq1cvevfuzUMPPYROp2Px4sWMHz+eDz/80OT19unTh9mzZ/PMM8/Qt29fbGxs6NOnj7E0QAhx4yR5FaKGmzlzJhMmTODHH39k5cqV5OfnExQUxKJFixg6dKjZH9zz58+zYsUK9u7dy65du7Czs6Nt27bMnj3bbCBOjx49sLe3Nzvm5MmT2bBhAxcuXDD21B49epRmzZoxceLEUmMNDAzknnvuITEx0eQYN9p79fDDD9OpUye+//57Fi9ejLu7O++//z6TJ082GxTm5OTECy+8wMaNG+ncubNZzSfAkCFDOHbsGN999x0bN26kqKiIhg0b8vzzz9OnTx9juwEDBtCyZcsSY5ozZ45x0Ye8vDzCwsKMyevIkSNZs2YNS5YsYenSpfTt25dXXnmFxx9/3Kyco7RjeHl5ERkZWWKZQWRkpMmXD3d3dyIjI/H397+hx9va2rJ27Vq+/vprNm3axMGDBxk/fjwtWrTgxRdfNBkIWJKtW7fy22+/8ddff7F+/Xp8fX354IMPGDVqlPH30tbWljVr1vDFF1+wYMECdDod99xzD6GhoWXG6uvry+7du/npp5/466+/2LFjB4GBgXTq1IkPP/zQWJvcqlWrEnt1AwMDiYyMNPmiFRERwf79+/nkk0/4+eefCQ0N5dtvvzX2NF/5em+55RaWLl3K77//zmeffYbBYKBDhw44ODhc1zGFEOY0SkmjA4QQQogbtH79egYOHMjatWsZNGiQpcOpdFOmTGH16tXGlb6EEJVLal6FEELcsMzMTLNtn332GR4eHvTq1csCEVUenU5nVg+enJzMihUrGDFihIWiEqL2kbIBIYQQN+zhhx/Gw8ODbt26UVhYyLJly/jjjz9YuHDhNcsGqpvs7Gx69+7NhAkTaNq0KWfOnOGDDz7Ay8uLV1991dLhCVFrSNmAEEKIG5afn8/ChQvZuXMnaWlpNGzYkMmTJ9OuXTtLh1Yp4uLiWLBgAbGxsWg0Gjp27Mi0adNKrJEWQlQOSV6FEEIIIUS1ITWvQgghhBCi2pDkVQghhBBCVBs1fsCWwWAgMTERNzc3Wa5PCCGEEMIKKYpCdnY2gYGBaLVl963W+OQ1MTHRuCa1EEIIIYSwXvHx8QQFBZXZpsYnr8UrlcTHx+Pu7l7px9PpdPz5558MHDjQbAUfYRlyTqyXnBvrJefGusn5sV5ybm5MVlYWwcHB5VphrsYnr8WlAu7u7lWWvDo7O+Pu7i6/tFZCzon1knNjveTcWDc5P9ZLzs3NKU+JpwzYEkIIIYQQ1YYkr0IIIYQQotqQ5FUIIYQQQlQbNb7mtbz0ej06ne6mn0en02Fra0t+fj56vb4CIhM3q7afEzs7O2xsbCwdhhBCCGuXEQ+5aaXvd/YGT8vP4FTrk1dFUUhOTiYjI6PCns/f35/4+HiZV9ZKyDkBT09P/P39a+3rF0IIcQ0Z8fBpeygqKL2NrQNMj7J4Alvrk9fixNXX1xdnZ+eb/uNuMBjIycnB1dX1mpPsiqpRm8+Joijk5uaSkpICQEBAgIUjEkIIYZVy08pOXEHdn5smyasl6fV6Y+Lq7e1dIc9pMBgoLCzE0dGx1iVK1qq2nxMnJycAUlJS8PX1lRICIYQQ1Vrt+0t+heIaV2dnZwtHIkTlKv4dr4i6biGEEMKSanXyWkzqAEVNJ7/jQgghagpJXsUNS0tL49133yU3N9fSoQghhBCilqjVNa/VVUFBAZ988gmg9qg5OzsTGBhIly5d8PPzq5RjZmRkMHfuXO677z7jMrtJSUk8/fTTTJo0qVaUXlz5vj/88MPGWtJi33zzDZmZmYwePZoGDRqY7Nu9ezf79u1Dr9fTsmVLevbsWWrt6aFDh9i9ezd5eXk0atSIbt26lWutZyGEEKI2kJ7XCqI3KOw4mcbvBxL590wmeoNSacfKy8vj6aefZtu2bSQlJXHo0CE+++wzGjRowOTJk8nKyqrwY6ampvL000+Tnp5e4c9dXRS/788++yzLly832XfkyBEefPBBnn76aY4cOWLcnpSURK9evRg+fDi7du3i4MGDTJ06ldatW5u0A7hw4QKDBw+mR48e/Pnnn8TGxvLRRx/RunVrli5dWiWvUQghhLB20vNaAdbFJDFrZSxJmfnGbf7uJ3hlREsGtaq8qYnuuusuRo4cabx//PhxIiMjGTduHGvXrjVpe/LkSTZt2oRWq6VLly60bNnSuC8tLY1vv/2W+++/n127dnHs2DGaNGnCgAEDALXHcd68eYDau1inTh1CQ0Np1qwZoE7HtGnTJo4ePUpoaCgDBw68Zo1lWloaf/zxBzk5OXTs2JG2bduWKxZQZ4n44IMPALC1taVBgwb0798fV1dXs+PExcWxceNGCgsLGTFiBEFBQeV+X0oTGRnJvHnzmDx5snHbvHnziIyMZM2aNcZtBoOB4cOHA3Ds2DE8PDwAddDUuHHjiIyM5ODBg7i7uxvbFhYWcuLECZPZLzIyMjh06NA14xJCCCFumL3LtdvYOqgLFViY9LzepHUxSTy4aK9J4gpwPiufBxftZV1MUpXF0qRJEz766CPWrVtHVFSUcfucOXPo0KEDW7duZfv27fTo0YM333zTuL/48v8tt9zC66+/zp49exg3bhx33303oCanFy5cANTeweTkZC5evGh8/MiRI3nnnXfYt28fkydP5p577ikzzgMHDtCwYUOWLFnC/v37uf/++3n22WfLFUtxPMnJySQnJxMXF8ecOXNo2bIlcXFxJsd5++23adGiBStXrmT79u0MGDCAf/75p9zvS2kmTZrErl27OHnyJKAmowsXLmTq1Kkm7VauXElUVBQffvihMXEFdcWrjz/+mPPnzxu/FKxatYpdu3bxySefmE3b5unpSffu3a8ZlxBCCHHDjqxS/3X1g3vWw31bzH+sYIECAJQaLjMzUwGUzMxMs315eXlKbGyskpeXZ9xmMBiUSwW6cv1k5RUqnV5fr4Q8u6rEnwbPrlI6v75BycorvOZzGQyGcr+mixcvKoDyyy+/mO3Lzc1VNBqN8vHHHyuKoii7d+9WXFxclOPHjxvbxMTEKPb29sqRI0cURVGUgwcPKoAyZcoUY5sDBw4oWq1W2bx5s6IoinL8+HEFUOLi4oxtih83e/Zs47atW7cqgJKYmFhq/DNmzFBGjhxpsm3Hjh3ljqUk48aNU+655x7j/e3btyuAsmrVKkWv1ysXL15ULl68qMTGxpb7fbla8fu+du1aZdy4ccrzzz+vKIqiLF++XGncuLFy4cIF4/7i1+nm5lZqzO3bt1eGDx9ubOvq6lpq25tV0u+6NSgsLFR+/fVXpbCw0NKhiKvIubFucn6sV7U8NzmpivJGkKLMdFeU/T9YJISy8rWrSdnAVfJ0elq+/EeFPJcCJGflE/7Kn9dsGzs7Emf7mz8dTk5OODs7G3tGly5dip+fH6tWrUJRFBRFrcV1dnZm165dxkv/APfff7/xdkREBN26dWPVqlX07t27zGOOGzfOeLtDhw6Aerm+tNWcfH19Wb16Nfv376dNmzYAdOnSxaTNtWIpKipi/fr1nD59mkuXLqHT6di/f7/xMcuWLaNNmzYMHToUg8EAgLu7O56entf9vpRk6tSp3H333cyePZu5c+ea9bqCWiccGBhY6nMEBQUZV75KTU2lXr16ZR5TCCGEqBRb50BBFviHQ/hYS0dzTZK81jCFhYXk5eUZZwQ4d+4cWq2WhIQEk3ZTp04lNDTUZNvViVZQUJDZ40pSfCxQL4kXxwFqkhgfHw+Ao6Mj06dP57HHHiM5OZmBAwdiZ2fHwIEDefbZZ2nevHm5YklJSaF79+44ODjQtWtX3N3dycnJMRlMlpycTEhISKkxX8/7UpJ+/fpha2vL3Llz+euvv5g/f75ZG09PT5KTk0t9jqSkJGOJwLXaCiGEEJUi/RT8O1e9PeBVqAYrUUryehUnOxtiZ0eWq+3uuHTu+vbfa7ZbcHdHOoV6XfO4FWHr1q0YDAY6deoEgLe3N87Ozrz77rvXfOyFCxdMEr7z588be0ZvVHp6ujEpK55aytnZmY8++ogPP/yQmJgY3n77bXr27GlMcq8Vy7x583BxcWHv3r3G5V5fe+01jh49amzv4+PD7t27S43ret6Xkmi1Wu666y4ee+wxBg4cSEBAAKmpqSZtunfvzqeffsq+ffuMA9KKpaamEhMTwwsvvABAjx49+PTTT016o4UQQohKt/FVMOigUT9o1MfS0ZSL9afXVUyj0eBsb1uun55N6hLg4Uhp4+o1QICHIz2b1L3mc1XECkipqak89dRTdOnShW7dugHqYKro6Gj++MO0FOL06dNmU2otWrTIeDsuLo5t27bRr18/4L/e1UuXLl1XTA8++CDvvvsu7777Lq+++ioA0dHRKIqCRqMhPDycJ598ktTUVJPkr6xYsrKy8PDwMCauBQUFLF682OS4I0aM4N9//2XXrl3GbYWFhZw5c+a635fSTJs2jenTpxsT0KuNGjWKZs2a8cQTTxh7oos9++yzODs7c9999xnbNm/enEcffZS8vDyTtoWFhRw8eLBcMQkhhBDllhAFh34GNDBglqWjKTfpeb0JNloNM4e35MFFe9Gg1rgWK05FZw5viY22cpbm/O233zhx4gQFBQUcP36c3377jbZt25okcv379+eZZ55hxIgRTJw4kZCQEGJjYzl48CBbtmwxeb5Vq1Zx/vx5GjZsyPfff0+/fv0YOnQooNapNm/enCeeeIJ+/frRqFGja9aFlhX3nXfeSb9+/XBzc2Pp0qUMGTKEoKAgMjIyrhnLHXfcwfvvv8+ECRNo0qQJv/zyCzk5OSaT/g8YMIDp06fTt29f7rzzTpycnNi8eTPvvPMOISEh1/W+lCYoKKjMnlt7e3tWrlzJiBEjCA8PZ/To0djb27NmzRoSEhJYtWoVPj4+gFpusXr1amMSe/vtt+Pl5UVcXBx///03Tz31FOHh4Tf0fgshhBBmFAXWv6Tebj1erXetJqTn9SYNahXAF5Pa4e/haLLd38ORLya1q5R5Xh0dHXnyySfx9vbm/PnzFBQU0KVLF7Zu3cpff/1lNlDq7bffZufOnTRr1gxFURgzZgz79++nbt26Ju02bNjAkCFDsLGx4bXXXmPlypUm+zdv3szgwYNJS0vj4sWL+Pj48OSTT+Li8t/ccFqtlieffJLg4NKn0njppZdYtGgRgYGBaLVa3n77bbNjlRVL69atiY6OJjw8HEVReOutt1i+fLmxF7PYxx9/zPr16/H398fDw4Pvv/+e/v37X/f7cvX7XlpNrLOzs9n+Jk2acPDgQebMmYOdnR1FRUXMmDGD48eP07lzZ5PHN2zYkL179zJ37ly8vb0pLCykZ8+ebN682ey1CSGEEDfl2Do4sx1sHaFvyVcQrZVGKR5mXUMVX2LOzMw0GVgEkJ+fT1xcHKGhoTg6OpbyDOWjNyjsjkvnfFYeLlo9t4QFYWdbMXWslS0mJobw8HCSkpLw9/evcbEYDAaysrJwd3c3lhrUNhX5u16RdDoda9asYciQIcbBfsI6yLmxbnJ+rFe1ODf6IviiG6QehR6PQ/9XLB1Rmfna1aRsoILYaDV0beRtTJQqq1RACCGEEOKm7F+kJq5OXmryWs3Uzm4oYaKky/8SixBCCFEDFeTApjfU272fAUePsttbIel5Ffj7+9/wlFEVzZpiEUIIIWqcHZ9Bznmo0wA6mC+wUx1Iz6sQQgghRG2QkwLbP1Jv95sJtvaWjecGSfIqhBBCCFEbbH4LdJcgsB2E3WbpaG6YJK9CCCGEEDXdhWMQtUC9PfBVqIDFkSxFklchhBBCiJpu4yxQ9NB0MDToYelobookr0IIIYQQNdmZHXBkFWi01WoZ2NJYPHk9c+YMmzZt4sSJE6W2yc7OZtOmTezYsYOioqIqjE6Uh06nIyYmhsLCQkuHIoQQQogrXbkMbLs7oe6NLe1uTSw2Vda+fft45JFHSEhIIDQ0lOjoaCIiIli+fDne3t7GdqtWrWLSpEk0aNCArKwsNBoNa9asoVmz6v/m3yiDwUBsbCwAGo0GZ2dn/P39cXJyskg8586dIzw8nOPHj9O4cWMKCws5duwYzZo1s97VRSpRdnY2Z86cwdnZmYYNG5rsu/LchYWFobmq5ig/P5+EhAQcHR0JCgoq8zhFRUUkJCRgZ2dHYGCg2XMJIYQQxP4GCf+CnTPc8pylo6kQFut5vXDhAu+88w6nT59m06ZNnDp1ivPnz/PEE08Y26SnpzNp0iSefPJJ9u/fz4kTJ2jevDmTJ0+2VNjmMuIhcf9/P0kHsEk5CEkH1PsZ8RV+yKysLMLDwxk6dCjjxo1jwIABeHt707FjRxYvXlzhx7sWe3t7wsLCcHBwAODs2bOEh4dz7ty5Ko/FGmzcuJHw8HAiIiLIzs422bd27VrCw8MJDw+noKDAuP3ixYvcddddeHt7ExkZSbt27QgKCuLrr782e/7s7GymT5+Ol5cXPXr0oFu3bnh6evLII49w4cKFSn99QgghqomiQrXWFaDbI+Bm2SXgK4rFel4HDhxoct/Dw4OhQ4eyevVq47bffvuNvLw8ZsyYAYBWq+Wpp56ib9++HDlyhObNm1dlyOYy4uHT9lD0XxKiBdyubGPrANOjwDO4wg//0UcfMXLkSEDtsVuwYAHTpk3j6NGjzJ4926x9QkICWq2WwMBAk+0FBQUcP36c5s2bo9FoiI+PJyAgwJiMXik9PZ2cnByCg4ONPX1169blxx9/xM/PD4PBwPHjxwE4duwYOTk5uLm5kZOTQ1BQEB4epit5HD58GH9/f+rUqVPia1QUhaSkJGxtbfH19TWJIy0tjSZNmpCbm0tSUhKhoaFotf99H8vJyeH06dMYDAb0ej1hYWHY25c8p51er+fMmTP4+PiUuKZyUVERZ86cwdvbG09PzxKf42qNGjVi6dKlTJs2zbht7ty5REREEB0dbdyWl5dHnz59sLe3JyYmhtDQUED9/Z84cSIXLlzghRdeANTz3KdPHwwGAzt27CAsLAyA3NxcvvvuOw4fPkzdunXLFZ8QQogaLmoBpJ8CF181ea0hrGqFre3bt5skpAcOHKBhw4a4uf2XDrZp08a4r6TktaCgwKRHKysrC1DrMnU6nUlbnU6HoigYDAYMBsP1B3wpFe0ViWuJigowXEoF93rX//ylKI71yrjt7e257777yM3N5dlnn+Wee+6hfv36APzzzz9MmzaN9PR07OzssLe3Z968edxyyy0AHD16lNatW/P000/z7bff4uzsTEpKCp9++il33303oPYMjh07lt27d1O3bl3y8/P5+OOPGTVqFPHx8YSHh3P06FH8/Px47LHHAHjkkUews7Oje/fuHDlyhNatW/Phhx8aX0dsbCzh4eHs27fPLKkFiIqKYsKECWRmZmJnZ4efnx8LFiygVatWLF68mHfffZeuXbuyYcMG9Ho9np6eLFu2jHbt2gFqacqDDz4IqL2VqampvPDCC/zvf/8zOc7XX3/NSy+9hEajQa/Xc+utt/LZZ58Zk/dvvvmGF198EWdnZ7KysoiIiGDBggWEhISUeX7uvvtu5s2bxz333APA+fPnWbt2LW+88QZPPvmk8fx99tlnHDp0iJiYGEJCQoyPHz58OM899xyzZs3izjvvpF69enz22WccOHCAgwcP0rRpU2NbR0dH7r//fpPjXx2ToijodDpsbGxKjNsSiv9PXv1/U1ienBvrJufHelnNuSnIxnbLW2gAfc+nMWgdwdIxleF63i+rSV7nzJlDVFQUO3fuNG7LyMjAy8vLpJ2npyc2NjZkZGSU+Dxvvvkms2aZj6T7888/cXZ2Ntlma2uLv78/OTk5/w02UhQoyitXzDaZqaa9rKW4lJmK3j657Ea2TuWec634UnReXp4xOS9266238uSTT7J69WomTpxIUlISw4YN46233uKOO+4A4Pvvv2f06NH8+++/eHt7k5OTA0BMTAwHDhzA2dmZefPm8eijjzJgwADc3d155513uHjxIseOHcPJyYm0tDSWLVtGVlaW8fE5OTn4+vry448/0r59e5YtW2ZMoH/88UdeeOEFXnzxRWPv51dffUXbtm2N9cxXmzFjBn369OHtt99Go9EQExNDVFQU9evXJy8vj7Nnz9KvXz+OHz+OwWBg+vTpTJw4kX/++QcbGxvCw8PZtm2b8fmio6MZNmwYERER9OihThOyevVqpk+fzrfffsvw4cMxGAwsWbKEU6dOUa9ePf744w+ef/55fvnlFyIiItDpdDz++ONMnDiRNWvWlHh+8vLU35+hQ4fywgsvsHv3bpo3b85XX31Fjx49jDXdWVlZFBYWsmLFCrp27Yqfn5/Z+zB27FhefPFFfv75Z6ZMmWJs6+/vX+J7VprCwkLy8vLYunWrVQ56XL9+vaVDuGFOhanYF+WUur/Q1pU8e58qjKhiVedzUxvI+bFelj43LRKX0TQ3jWyHADYle6OU8jfLWuTm5pa7rVUkrwsWLOCFF15g8eLFtG3b1rjd3t7e7MUUFBSg1+tLvfz73HPPmdTNZmVlERwczMCBA80uB+fn5xMfH4+rqyuOjo7qxsJLaN9qUUGvTOX20+hrtjH8LwHsXcr1fMU9a05OTmavyd3d3Zhcuru78+mnnxIUFESvXr04d+4ciqLQp08fZs+ezb59+xg1ahSurq4AzJ49G39/tR7mnnvu4amnnuL8+fMEBQWh0+nw9PTE29sbW1tb3N3deeaZZwCMj3d1dcXd3d3sPsDkyZN57rnn2LRpE2PGjKGoqIhly5bx0ksvlXiZHtTz4+vra+yV7datG926dTO+dltbW959913j/g8++ICAgACio6Pp3bu38XmysrI4ceIEHh4edOjQgZ07dzJkyBAA5s2bx9ixY5k4caKx/UMPPWS8/c033zBixAh8fHyM79/YsWO59dZbKSoqMvtyVRwbQL169bj99ttZtmwZc+bM4YcffuDVV181OVeOjo4kJibSv3//Et+H4vczJSUFd3d3zp07V2rbsuTn5+Pk5ESvXr3++123AjqdjvXr1zNgwIDqObgvMwHbLzqj0Zd+BUaxcaDowV3gUfYAPGtT7c9NDSfnx3pZxbnJSsT2i/sAcBr+NoObDbFMHNfhejpkLJ68Lly4kPvuu4+FCxcyZswYk32hoaH8+uuvKIpirK+Mj4837iuJg4NDibWadnZ2Zr9Eer0ejUaDVqv9r1ZSa5kxbFqtttzHLo7VJO7Lii8NOzo6otVqOXLkCAkJCYwdO9aknZ+fHwUFBSbPERQUZLxdXKpx6dIltFotjzzyCEOGDKFhw4ZERkYycOBARo0ahZ2dnVk8JcXn4uLCxIkTWbBgAePGjWPNmjVkZmYyceJEtFotMTExxtjc3d2pX78+r776KpMmTWLlypX079+fESNGGJNSjUZDYGCgSfLo7+9P3bp1OXXqFH369CEpKYnJkyezbds2/Pz8cHNzIyEhgQYNGhjjOnr0KEOGDDF7H4sdOXKEw4cP8++//5psDwsLIz09HR8f8x61K1//tGnTGDNmDEOGDCE9PZ2RI0fy+++/m7w/9vb25OXllRiDXq8nPz8fBweHa7Yti1arRaPRlPj/wBpYa1zXVJgJZSSuABp9AXaFmWBX8meWtau256aWkPNjvSx6bra9A0X5UL8rtmEjqsVqWtfzXlk0eV20aBH33nsv3333nfGS9pUGDRrE888/z7Zt2+jZsycAy5cvx8PDgy5dulROUHbO8Hxi+domR8P8Qddud8868I+49nErwKFDhygqKjLWA9vb2xMREcHWrVtv6nlDQ0OJjY0lKiqKTZs28fLLL/PRRx+ZXJa/lnvvvZd27dqRkJDA/PnzGTVqlHHw05Xnv1+/fnz00UcMGTKEpKQk/v77bzZs2MDIkSO57777ePvtt4H/Ls9fKTc3FxcXtQf76aefxsbGhvPnz6MoCu7u7owcOdKkJtTR0bHMSxX29vZMmjSpxAFw5dGrVy88PDyYOnUqkydPLvGKQXh4OAcOHCjx8cXnMyJC/f25erCXEEIIYeL8Idi/RL09oHovA1sai02VtXLlSu666y7uuOMO3NzcWLVqFatWreKPP/4wtmnbti2TJ09mwoQJfPXVV8Z61jfeeKPyLn1qNOrl+/L82JZzXlVbp2s/VwX9cr3xxhv4+fnRv39/AHr06MHu3bs5ffq0STuDwXBdtY+FhYVoNBo6dOjA008/zY8//siOHTtISEgwa1t8bq4uvm7dujXt2rXjnXfeYe3atUydOtW4LyYmxvjz0UcfGY/p4OBA//79eeutt3j55ZdZtmyZ8TEXLlzg0KFDxvu7d+/m0qVLxkF9R44cYcCAASa9yLt27TKJqXv37iYzXBQrfm969OjBzz//jF6vN3s/ymvGjBm4urqavN4r3XvvvcTGxvLzzz+b7XvttdcICgpi8ODBxraHDh1i+fLlJT7XlYMVhRBC1ELrZ4JigJa3QnBHS0dTKSzW85qens6gQYNIS0vjyy+/NG53dXUlMjLSeP/bb79l7ty5/PXXXzg4OLBixQqGDh1qiZCtztmzZ4mJiTFOdTV37lyioqL45ZdfjIPTJk2axDfffMOgQYOYPXs2ISEhxMbG8tlnn7FixYpSR8xf7aGHHsLT05PIyEjc3Nz4/PPPCQkJoV69esZSjmL+/v54enqyaNEibr/9djw8PIzHmTZtGg888AChoaH06dOnzGN2796d8ePH07lzZ/Ly8liyZAndu3c37re1teWOO+5gzpw5GAwGHn/8ccaMGWPsde7evTtfffUVrVq1orCwkI8//pj09HSTY7z00kt06tSJ8ePHc++99xpnUfjqq68ICQnhlVdeoXPnzgwfPpzHHnsMZ2dndu3axS+//ML27dvL/d5dWUd7tcGDB/PUU09x5513cvz4cfr160d2djbffPMNf/zxB2vXrjWWwhRfjbjzzjuJjo4mMjISrVbLsWPH+Pbbb3nqqacYNmxYueISFcBgfYPfhBC12KnNcGI9aG2h30xLR1NpLJa8TpkyhSlTplyznY2NDffff79xGiCr4uytzuNa1nRZtg5quwpkY2NDWFgYX3/9Nd988w1OTk4EBgYSGRnJkiVLTOZDtbe3Z+PGjXz88cd88cUX5OXl0apVK+bPn29MKB0dHQkLCzOpN9FoNISFhRkvwX/66ad8/vnnvPPOO8bezc2bN2NjY2O2SIGtrS0//vgjH3zwAb/++itdu3Y1fkEZP348Dz/8MHfdddc1V4T6/fffee+993jmmWewt7dnxIgRJoPxGjVqxKuvvsoXX3xBYmIiw4cPN5lp4o033sDBwYGZM2diY2PDrbfeStu2bU1qops0acKePXt46623ePbZZwkMDOTJJ580vjcNGzZk7969vPvuu8ycORNHR0e6dOnCL7/8Umrc7u7uhIWFlVqX6uHhYbZ/zpw59O3bl++++46ffvrJeJyDBw8aZ2wo9vrrrzNw4EAWLFjAE088gZ2dHc2aNeO1114zzqIgKpmiwJHVsO5/124rhBBVwWCA9S+rtztMBe9Glo2nEmkURVEsHURlysrKwsPDg8zMzBJnG4iLiyM0NPTGyxAy4iE3zXjXoChcupSDi4srWo1GTVwrYYGC6mrbtm3ccsstnDp1yiwpux6ffvopn376KUeOHLlmW4PBQFZWFu7u7tc90KmmqJDf9Uqg0+lYs2YNQ4YMqT6DTs7uUtcJj9917bbF7tsCgW0qLaTKUC3PTS0i58d6WezcRC+Dn6eBvRs8th9cqtcUfWXla1ez+GwD1Z5nsGlyajCgz8oCd3eLzVxgjbKysjh+/Dj/+9//GDdu3E0lrkJYROoJ2PgKHF6p3rd1gvAxsG/htR+bEV/tklchRDVSVAAbLw8s7jGj2iWu10uyK1Eldu3axd13301wcDAff/zxTT+ft7c3TZs2rYDIhLiGnBRY9QR81klNXDVaaHcnPLoPej+jlgZdy+on4OLpSg9VCFFL7f4aMs+CWyB0KX2MRU0hPa+iSgwYMKBCp3gaP34848ePr7DnE8JMQQ7s+Az++RgKL6+g1XQw9H8FfK9Ymnp6lEnpkIn8DFj5OFw8Bd+NgLvXgkfFLRUthBDkpsPWOertvi+AfcVMvWnNJHkVQogr6YvUUoDNb0HOeXVbYDsY+Co0KGFA3NWlQ1e7Z606H/TFOFh4OYF19S29vRBCXI9t70N+Jvi2hNa1o1NHygaEEAL+m0Hgi66w6nE1ca3TAEZ/C/f+VXLiWh5u/jDld/AIhrQTsHCk2lMihBA36+IZ2PWVenvAbNDaWDaeKiLJK+qSqkLUZPI7fg3x/8K3g+HHCZB6TJ0lZPA78PC/0GrUzS8i4lkf7vwNXP0h5RB8f5vaUyKEEDfjr9dAXwihvaBxf0tHU2VqdfJaPIVFWcuDClETFP+Oy5Q6V0k9AUsnw7z+cHaHOoNAzyfVwVid7wdb8+V8b5h3IzWBdfaGpP2weIxaVyuEEDcicT8c/Em9XUOXgS1Nra55tbGxwdPTk5SUFACcnZ2vOXH+tRgMBgoLC8nPz6+1c4pam9p8ThRFITc3l5SUFDw9PbGxqR2XlK4pJwW2vA1RC9RVsjRaaDMR+jwP7oGVd1zf5jD5V/humDpP7I/jYcJPYFfOpaaFEALUMqf1L6m3w8fWuqn4anXyCupSpoAxgb1ZiqKQl5eHk5PTTSfComLIOQFPT0/j73qtVnhJnUFg+0f/zSDQJFKdQcCvZdXEEBABk36GhbdC3Fb46U4Yt7hie3mFEDXbiY3q54eNPfR90dLRVLlan7xqNBoCAgLw9fVFp9Pd9PPpdDq2bt1Kr1695BKtlajt58TOzk56XPVFsO972PzmFTMItFUvtYX2rPp4gjqoPa6Lbofjf8KKe2D0ArCp9R/JQohrMej/63XtdB/UCbFsPBYgn5SX2djYVMgfeBsbG4qKinB0dKyViZI1knNSiykKHF0LG2aqA7EAPEOg/0xoeZtlV8Fr0B3GL4El49TFD359AG77qtaMFhZC3KADP0BKLDh6Qq+nLB2NRUjyKoSomRL2wJ8vwdl/1PtOXtD7Wehwj/Vcom/UF8YuhKWT4OAytfZ1+Me1auCFEOI6FObCX6+rt3s9BU51LBuPhUjyKoSoWdJOqmt8x/6q3rd1VJdL7DEDHD0sGVnJmg2GUd/AiqmwdyHYOcOgtySBFUKY2/UFZCeCR33oeK+lo7EYSV6FEDVDzgXY+g7sma/OIIAG2k6EW563/iVZW42Conz49UHY9aXaA9tvpiSwQoj/XEqFvz9Qb/d7CewcLRuPBUnyKoSo3govwc7PYdtHUJitbmsy8PIMAmEWDe26tJkAujxY/QRs+wDsXKD305aOSghhLba8o37GBbSGVqMtHY1FSfIqhKie9EWwfzFsegNyktVtAW1g4KvqajPVUcepag/sH8/DptfUnpVuj1g6KiGEpaWdhD3z1NsDXrXsYFMrIMmrEKJ6URQ4tg42vAIXjqjbPEOg38sQNqr6f6h3fVgdlLHpNfjzRbWEoOM0S0clhLCkjbPVcqjGA6Bhb0tHY3GSvAohqo+EKHV+wzPb1ftOdaDXM2qPpa2DZWOrSL2eAl0ubHsfVj+pDuJqM8HSUQkhLCH+X3UAqkYLA2ZZOhqrIMmrEML6pZ9Sex4O/aLet3WELg9C9xng5GnJyCqHRqP2JOty1QFcvz2sJuetbrd0ZEKIqnTlMrBtJlSvOv5KJMmrEMJ6XUpVBynsmfffDAJtJkKf58AjyNLRVS6NRp0yS5cHe7+Dn+8DWydoPsTSkQkhqsrRNXB2h/p//5bnLR2N1ZDkVQhRtTLiITdNvV1UhEfuaUg6ALaXP46cvdWfnZ/Dtg//m0Gg8QB1BgH/VhYI2kI0Ghj2gTqIK3opLJsC43+Exv0sHZkQorLpi2D9TPV214esf8q/KiTJqxCi6mTEw6ftoagAADvgFoCjV7TR2qqrYV1KUe8HtFZH19bWQQpaG7j1c7UH9vDv8ONEmLRCXV5WCFFz7f0O0o6rX+a7P2bpaKxKNR+WK4SoVnLTjIlrqQxFauLqWR9unwf3bq69iWsxG1v1vWgyEIryYMlYdflbIUTNVJANm99Ub/f+n3WuDmhBkrwKIaxP14dh+h4IH139p76qKLb2MPZ7dQ7bwhxYNAqSoi0dlRCiMvzzKVy6AF4Nof1dlo7G6shfBSFE5VEUyM+C1BNwejuc/Kt8jwsfW7Omvqoodo5wxw8Q3AXyM+H7kZByxNJRCSEqUnYy/POJervfTPWLqzAhNa9CVAdXDnIqibM3eAZXXTxFBZCTcvnn/OWfkm6nqJe5RcVxcIWJP8HCWyFxHywcAXevBe9Glo5MCFERNr8JuksQ1BFa3mrpaKySJK9CWLurBjmVyNYBpkfdXAJrMKgJckkJ6NXb8jOu77kd3MHVF+xcIPnAjccoVI4eMOlnWDAMUg7BdyPgnrVqnbAQovq6cBT2LlRvD3hVnXFEmJHkVQhrV55BTkUFarurk1dFUQv/S+sVvXLbpQug6Msfl409uPqpSWmJ/16+7eIL9s7qYxL3w9e1fPBVRXH2gjt/hW+HqCOSv7vcA+seYOnIhBA3asMroBig+TAI6WrpaKyWJK9C1BRR36nf2G/qsr0GXHzKTkaL/3X0lF4BS3P1hSm/w/xBcDFOLSG4aw241rV0ZEKI63V6u7oogcZGrXUVpZLkVYiaImp+6fuKL9tfKyl19lGnZaoszt5qicO1SiCcvSsvhprGPVBNYL8dAqnH4Pvb1PvOXpaOTAhRXlcuA9t+CtRtatl4rJwkr0LUFC2Gg2/Lsi/bW5pnsFqbe3nwma6oiO3bt9O9e3fsrlxhqyoHn9UEdRrAnb/Dt4Ph/EFYPBom/wqO7paOTAhRHod+gXNR6riAW56zdDRWT5JXIaxdckz52vV8CgLbVGooFcIz+L/kVKcj0/mcuoqWnZ1l46rufBrDnb/BgqHqH8El42DScrB3sXRkQoiyFBXCxlnq7e6PqZ0Ookwyz6sQ1irnAvz6EPz+sKUjEdWFX0uY/As4eMDZf9SlZHX5lo5KCFGWPfPh4mn1allX+bwvD0lehbA2+iLY9TV80h72L7Z0NKK6CWyj9rjaucCpTbBsitqzI4SwPvmZsOVt9fYtz6nzOItrkuRVCGtydhd8cwusfRoKMsE/AsYtvvZqUzLISVwpuBNMWAq2jnBsHfx8r/qlSAhhXbZ9AHnp4NMM2k62dDTVhtS8CmENci7Ahpn/9bQ6ekDfl6DDPaC1MRnkVCIZ5CSuFtpT/eLzwx0Q+yvYOcGtn4NW+iyEsAqZCbDzC/X2gFmVO9NLDSPvlBCWpC9S653+ek3taQVoOwn6z1LnWy125SAnIcqrSX8YswB+uhMO/KAmsEPfl/l5hbAGm96AonwI6Q5NB1k6mmpFklchLOXsLljzJCQfVO/7R8DQ99RLvkJUlBbDYNTXsGKa+kXJ1gkiX5cEVghLSo6B/UvU27IM7HWT5FWIqnatEgEhKlr4aNDlwe/TYedn6ry/fV+0dFRC1F7rXwYUCBsFQe0tHU21I8mrEFWlvCUCQlSGdpPVS5RrnoKtc9QSgp5PWjoqIWqfk3/ByY2gtYN+L1k6mmpJklchqoKUCAhr0Ole0OWqvT4bZ4OdM3R50NJRCVF7GAyXe12BjtPAq6Fl46mmLJ68bt68maVLl+Lv78/MmTNN9hUUFHD//febPWbatGn06NGjqkIU4sZJiYCwNt0fg8Jc2PIWrPuf2gPb/i5LRyVE7XBwmdqJ4eAOvZ62dDTVlsWSV51OR+vWrfHx8cFgMPDvv/+aJa86nY7vvvuOF198kUaNGhm3+/v7V3W4QlwfKREQ1uyW/6k9sP98DCtnqIO4Wo+zdFRC1Gy6fPjrVfV2zyfARebmvlEWS15tbGxYsWIFLVq0YMaMGWzbtq3UtkOHDqVLly5VGJ0QN0FKBIS102hgwGx1ENe/38CvD6gLXYSNtHRkQtRcu7+CzHhwrwedH7B0NNWaxZJXrVZLixYtytX2888/57vvvqNRo0ZMmDCBwMDASo5OiBtQUolAv5eh/d1SIiCsj0YDg99RE9j9i2DFVCi8BH5h6v6iIjxyT0PSAbC9/KdCFsMQ4sbkpsPW99TbfV9Uy3XEDbN4zeu1BAQEEBgYSEBAAGvXrmX27NmsXr2anj17lti+oKCAgoIC4/2srCxALUHQ6XSVHm/xMariWKJ8Kv2cGIrQRi1Au+UNNAXq75uh9UT0fV5SSwT0BvVHmJH/L1Zg8HvYFF5CG/sLym8PUTzbpB1wC8DR/5oqNg4UPbgLPIKqPExhSv7vWK+Szo12yzvYFGSi+IZR1GIUyHkzcz2/yxpFUZRKjKVcissG9uzZY7K9qKiIrKwsvLy8jNvGjh1LTEwMsbGxJT7XK6+8wqxZs8y2L1myBGdn54oN/DKnwlTsi3JK3V9o60qevdQ51kReOceISFiIR95ZADKcQogOvpOLLk0sHJkQ5adRiuh64h3q5hy5ZtvNzWaT6dyg8oMSooZwLrhA38PPYqMU8U+jp7jgHmHpkKxSbm4uEyZMIDMzE3d39zLbWnXyWpJly5YxduxYMjIy8PDwMNtfUs9rcHAwqamp13wzbkhmArZfdEajLyi1ifRWWJZOp2P9+vUMGDAAOzu7innSSxew+Ws22ugfAFAcPTDc8gKGtlOkROA6VMq5ETcmYQ923117iUrdPRshoHUVBCTKIv93rNfV58bm1/vQHvoZQ+gt6Ccst3R4VisrKwsfH59yJa9WXzZwtdzcXABKy7kdHBxwcHAw225nZ1c5/8ELM6GMxBVAoy/ArjAT7EIr/vii3Crkd6CUWQQ0/Wdh4+KDpK03ptL+f4rycyhfDZ5dTiIUhoKTp/V/UcuIh9y00vdXtxreK1/P5Zpku9RY7KQm2SrZ2dlhl3IQDv0MaNAOnI1WPudKdT1/A6w6ed2+fTuNGjUyTo2VlZXFRx99RPfu3fH09LRscKL2ObsTVj8F52UWAVGL/TT58g2NmsA6ealJk/Plf53qXL5/5bYr9tlU0Z+djHj4tD0UldG5YOsA06OqR8J31espqSa52ryemvalojSK8t+CBBHj5IpFBbJo8vriiy+SkJDA7t27SUlJ4a677gLgq6++wsHBAb1eT79+/fDz88PT05Pt27cTGhrKwoULLRm2qG1kFgEh/mPvCoU5gAJ5F9Wf9JPlf7yjh3nCa5L0XpXwOnuBzQ30VuWmlZ24gro/N616JEo15fXUtC8VZdCcWA+n/wYbB+j7gqXDqVEsmrx27NiRxo0bc8stt5hst7FRE4JevXqxd+9edu3axYULF3jppZdo06YNGo2mhGezcrpcS0cgrleJJQKTof8rstCAqL3uWg1+rdSkNTdN/clLv3z78r9X7ivelp+hPj4/U/25GFf+Yzq4q0msWS+v1+XbVybBl+9bgqKAQQ+Gov9+FIPpfUOReRtDOdqkl/P9SvhXnfLM1gFs7NUfW3s1gTLZ5qBOl1bVakoSfg0aRY/NX6+rd7o8AJ71LRtQDWPR5PXWW2+9ZhsHBwd69epVBdFUskWj1SUYO90LXlL7avWkRECI0tnYgmtd9ae89EVqAmtMcNOvSnDTS06CUaAgS/25eLr8x7Mt5zyaa54Be2fThFHRl5Jk6q+6fXWiqi9/fJVlzVPlb6u1KyPJtbt8uwK2XfncGacr7aVb1FX1yE2Tf0WTehQc3KDxAHV/NU7GrY1V17zWKLpLsPMz2Pk5NBusrq4R2ssy33xF6XJSYP1MOLBEvS8lAqK2cPZWE49rXc51vsElLW1s1SsW13PVwqBXe2lNEtpr9PLmpau9nUV55TtGwq4bez3XS2t7xY/Nf7c1NubbSrqvuwSJ+659nDoNQauFokLQF6oDiosu/2soMm1r0EGhlc43unwquPqCg6taquLg9t+Pvau63cEN7N2uuH1FO1vzgduVpoR65ObF+wqy4bthNaYUwlpI8lpVBs+B43/AiQ1wdI364xsGne+HiLGy2oalSYmAqO08g9U/rpd7j3RFRWzfvp3u3btbbjS71ua/soDyMhjU/8Ont8PSiddu3/t/4NXwimTRpvQE8rqTzsu3Ndqb76hI3A9f9752uzHfQmCbkvcZDOYJrb7wv9ulbrtqf0nbSnwenZrQXfmYwhzIOX/t15F+Qv25UVq7aye4xtuul9u4mSfL9q7q3+eyzl8tKYWwJpK83qzy9lY0Gwyd74MLx9T1jff/ACmHYOWj6mCg9ndBx2kyF6wlSImAECrP4P/+uOp0ZDqfU0dIV6fpfbRadfBXeT9Lmw0uPdmrabRa0DqCnaPlYihvEj54jtrzWpCtJrwFOWrpSGGOuq0g5/LtrCtuZ/83vsSg+29A4c3S2FxOft2v6vW9/G9R/s0fQ1wXSV5v1vX2VtRtqiZGfV+CfYvURDbjLGz7ALZ/DC1HqCUFwZ2lpOBmlDAfotka7bYOUiIghBDWKLjTjX2pMOivneAaE+IS2lyZLBdmq8+p6P8baCisgiSvFeFGeiucPKHbdOjyIBxbBzu/UKfUOPSL+hPQRt0XdlvV1u7UBOWZD1Frqw7oKP5wkhIBIWqWyq7hrWo17fVUFq2N2hHhaL4C53UzGNRaY2NSm31Vgns5EU4/qXZGiSojyaulaW2g+VD1JzkGdn0JB5dB0n745X748yXocI/64+Zn6Wirh/LUHxmK1A8i/wgY+j4Ed6ya2IQQVeOqq2Ilqk6T4VtjTfKNqE5JuFb7X+0rAaW3S9wvyWsVk+TVmvi3gls/hf6zYO8C2D0XshNhy1vw93vQ6nZ1vrjAtpaOtGbo8bhaviElAkLUTFdeFasJakJNck37UiEsQpJXa+TiDT2fhG6PwuHfYddXEL8Lon9Uf4I7q3WxLUZU3VKLNVHLkZK4CiFEVatpXypElbvuzOenn37i2LFjTJw4kdBQmWy/UtnYqb2trW6Hc1FqEhvzs5rIxu8C93rqDAXt77LcijLWJDcdzvyj1gwLIYQQVaE6lULUENedvNapU4eFCxfy8ssv061bNyZNmsTYsWPx8pLkqVLVaw+jvoYBs9X5SPfMh6xzsHEWbHlbnSu28wPgF2bpSKtObjqc2Q6nt6lzOp6PARRLRyWEEKI2qSn1yNXIdSevAwYM4NixY+zevZvFixfzyiuv8NhjjzF48GAmTZrE8OHDcXCQ0fGVxs0f+jyvlhXE/Ay7vlCngNq7UP0J7aUmsU0H1bxL4ibJ6rbLyepVfJpB3eZw+Leqj08IIUTtVBPqkauRGy6Y7NSpE506deL9999nw4YNLF68mIkTJ/Loo48yZ86cioxRlMTWAdqMh9Z3qJPs7/oCDq+CuK3qT50G0Ok+aDupYqYMsYRLaabJasoh8zZ1m0ODHupPSHd1UuvE/ZK8CiGEEDXUTY/2SUxM5MCBAxw4cIDCwkIpH6hqGg2EdFV/MuLh37kQtQAunoY/nodNb0CbCdDpfvBpbOloy3Yp9XKyur2MZLUFNOhumqxeTeqPhBBCiBrrhpLXixcvsnz5chYvXszWrVtp3LgxEyZMYMWKFTRubOUJUk3mGQwDZkHvZ+HgT7DzS7hwGHZ/rf40HqBOtdWwrzp/naUZk9XintVY8zZ1W1zVs1r32s8r9UdCCCFEjXXdyeuSJUu4++678fT0ZNy4cbz99tt07ty5MmITN8reWZ2BoN0UiNuiJrHH1sGJ9eqPT1O1pKD1eHWN5qpyKfW/RPXM9pKTVd+W/yWq5U1WSyL1R0IIIUSNdN3Ja7169fj1118ZMGAAtrYyx6hV02ig4S3qT9pJtaRg7/eQegzWPAUbX4V2k9VEtk6I6WMz4m9+EumcC6Y9qxcOm7cpTlaLE1ZZnlUIIYQQZbju7LN3795m23Q6HXbSo2XdvBvBoDfVmQr2L1HnjE0/CTs+hZ2fQ7Mh6iwFDXpAZgJ82v7aNaPTo0wT2JwLcGbbFcnqEfPH+YZdlaxK3akQQgghyu+6ktdNmzbh4eFBu3btAMjMzGTixImsW7cOHx8fPvjgA8aPH18pgYoK4uAGne+HjvfCiQ3qLAUn/4Ijq9Qfv1ZqIltW4grq/rQTcG5P2cmqXyvTMgBJVoUQQghxE8qdvBYUFHDfffexdetW47aXX36Zf/75hzfeeIOzZ89y9913c8sttxAQEFApwYoKpNVC04HqT8oR2P0VHPhRnTu1pPlTS/L9SPNtxclqccIqK38JIYQQogKVO3ndsmULTZs2NUlMf/rpJ1599VUefvhhAOLj41m1ahX33ntvxUcqKo9vcxj2AfR7Wa2J3fEZ5CSX77F+4Vckq90kWRVCCCFEpSp38nrixAlCQ0ON90+ePElycjKDBw82bmvfvj0JCQkVG6GoOk51oPujao/p3L7Xbn/nSmjYq/LjEkIIIYS4rNyTffr4+HD06FHj/S1btuDn50fDhg2N2y5evEidOnUqNkJR9cq7rKyje+XGIYQQQghxlXInr3369GHHjh3MnDmT5cuX89prrzFy5EiTNlFRUTLnqxBCCCGEqDTlLhuoW7cu8+bN4/777yczM5O2bdsya9Ys4/79+/eTm5tL165dKyVQIYQQQgghrmuN0HHjxpGenk5qaip79+7Fz8/PuK958+Zs2bKlwgMUFuDsrc7jWhZbB7WdEEIIIUQVuu5FCrRaLd7e5kmLo6NjhQQkrIBnsLoAwc2usCWEEEIIUcFkfVdRMs9gSU6FEEIIYXWuq2xACCGEEEIIS5LkVQghhBBCVBuSvAohhBBCiGpDklchhBBCCFFtSPIqhBBCCCGqDUlehRBCCCFEtSHJqxBCCCGEqDYkeRVCCCGEENWGJK9CCCGEEKLakORVCCGEEEJUG5K8CiGEEEKIakOSVyGEEEIIUW1I8iqEEEIIIaoNSV6FEEIIIUS1IcmrEEIIIYSoNiyavMbExDB9+nTq1q1Lr169SmyTnJzMhAkT8PPzIyQkhGeeeYbCwsIqjlQIIYQQQlgDiyWvBQUF3HHHHTRt2pRhw4aRm5tr1sZgMDB06FCSk5PZsmULP/74Iz/88AOPPfaYBSIWQgghhBCWZmupAzs4OBATEwPAjBkzSmzz559/snfvXk6cOEGjRo0AeP3115k6dSqvvfYa3t7eVRWuEEIIIYSwAlZd87pt2zZCQkKMiSvAgAEDKCoqYufOnRaMTAghhBBCWILFel7LIzExEV9fX5NtdevWRaPRkJSUVOJjCgoKKCgoMN7PysoCQKfTodPpKi/Yy4qPURXHEuUj58R6ybmxXnJurJucH+tVE86N3qCw58xFUrIL8HVzoENIHWy0mko95vW8X1advAJotaadwxqN+uYpilJi+zfffJNZs2aZbf/zzz9xdnau+ABLsX79+io7ligfOSfWS86N9ZJzY93k/Fiv6npuDqRp+Pm0lozC/5JVT3uFUQ0MtPYuOfeqCCWNfSqNVSevvr6+bNmyxWRbWloaiqKY9cgWe+6553jiiSeM97OysggODmbgwIG4u7tXarygfnNYv349AwYMwM7OrtKPJ65Nzon1knNjveTcWDc5P9arOp+bPw6d59sdB7g6Rc0s1PDtMRs+uaM1kWF+lXLs4ivl5WHVyWvXrl155513SEhIICgoCIBNmzah1Wrp1KlTiY9xcHDAwcHBbLudnV2V/hJV9fHEtck5sV5ybqyXnBvrJufHelW3c6M3KLy+9qhZ4gqgABrg9bVHGRxRr1JKCK7nvbLqAVuDBw+mSZMmPProo1y8eJG4uDheeeUVxo4dS0BAgKXDE0IIIYSoEXbHpZOUmV/qfgVIysxnd1x61QVVCov2vHbq1InY2FgKCwvR6/W4uroCcP78eVxcXLC3t2f16tXce++9+Pr6YmNjw5gxY/j8888tGbYQQgghRI2Skl164noj7SqTRZPXLVu2oNfrzba7uLgYbzdu3JhNmzZRVFSEjY2NccCWEEIIIYS4eYVFBjYdSSlXW183x0qO5tosmrw6OTmVu62trVWX5wohhBBCVDvHzmfz+NL9HEose8CUBvD3cKRTqFfVBFYGq655FUIIIYQQFc9gUJj79ymGfbKNQ4lZeDrbcW/PUDSoieqViu/PHN6y0ud7LQ/pzhRCCCGEqEUSLuby1LID7DylDr7q06wub98ega+7I+1D6jBrZazJ4C1/D0dmDm/JoFbWMVheklchhBBCiFpAURRW7D3HrN8PkV1QhLO9DS8Obcn4TsHGMUWDWgUwoKU/u+PSScnOx9dNLRWwhh7XYpK8CiGEEELUcGk5BTz/y0H+OHQegHb1PXl/bBsa+LiYtbXRaujayLuqQyw3SV6FEEIIIWqwjYfP8+yKg6TmFGBno2FG/6bc36shtjbVc+iTJK9CCCGEEDVQTkERr62K5cd/4wFo6ufKB+PaEBboYeHIbo4kr0IIIYQQNcy/p9N54qf9xKfnodHAtB6hPDmwGY52NpYO7aZJ8iqEEEIIUUMUFOn5YP1xvtp6EkWBep5OvDumtVXXsF4vSV6FEEIIIWqAI8lZzPhxP0eSswEY3T6ImcNb4uZoZ+HIKpYkr0IIIYQQ1Zj+8oID7/15jEK9AS8Xe964LZxBrfwtHVqlkORVCCGEEKKaik/P5cmfDrD7tLrgQP8Wvrw5KoK6bg4WjqzySPIqhBBCCFHNKIrCsj0JzFp5iEuFelzsbXh5eEvGdvhvwYGaSpJXIYQQQohqJDWngP+tOMiGw+qCAx0b1OG9MW2o7+1s4ciqhiSvQgghhBDVxJ+Hknnu54OkXSrE3kbLEwObcm/Phla1fGtlk+RVCCGEEMLKZefrmLUyluVRCQA093fjg3FtaBHgbuHIqp4kr0JUI3qDwu64dFKy8/F1c6RTqFet+rYthBC10c5TaTz50wHOZagLDtzXqyFPDGiKg231X3DgRkjyKkQ1sS4miVkrY0nKzDduC/BwZObwlgxqFWDByIQQQlSGfJ2e9/48ytxtcSgKBHs58d6YNnQK9bJ0aBYlyasQ1cC6mCQeXLQX5artyZn5PLhoL19MaicJrBBC1CCHEjN5YukBjp5XFxwY1yGYl4a3xNVBUjd5B4SwcnqDwqyVsWaJK4ACaIBZK2MZ0NJfSgiEEKKa0xsUvtxykg83HEOnV/BxtefNUREMaOln6dCshiSvQli53XHpJqUCV1OApMx8dsel16i1q4UQorY5k3aJJ346QNSZiwAMbOnHm6PC8XatuQsO3AhJXoWwQkV6A0fPZ3MgPpPf958r12Pm/n2KzLxC2tWvg6+7YyVHKET1IQMdhbVTFIUfdsfz2upYcgv1uDrY8sqIMG5vV6/GLzhwIyR5FcLCFEUhPj2P/QkZHIhXf2ISM8nXGa7reTYeSWHjkRQA6nk60ba+J23r16FdfU9aBrrX2lGponariQMd9QaFXXHpRKVq8I5Lp2tjX0nGq7GU7Hz+t+Igf13+/O4c6sW7Y1oT7FU7Fhy4EZK8ClHF0nIKiE7IZH98BgcuJ6wXc3Vm7dwcbGkd7Emreu4s/Te+xDbFPJ3sGBTuz/6zGRw7n825jDzOZeSxKjoJAHsbLa3quV9OZuvQtr4ngZ5OlfYahbAGNXGgo2kybsPC43uqfTJem609mMTzvxzkYq4Oe1stz0Q2457uoWjly0iZJHkVohLlFeqJSczkQHyGMVmNT88za2dvo6VFoDttgjxoHexJ62BPQr1djB9gbYI9eXDRXgCTP8TFH29v3R5u/MOVU1BEdHwG++Iz2HvmIvviM0i/VMjesxnsPZvBPOIA8Hd3vNw760m7+nVoVc8DRzvpnRU1Q00c6FgTk/HaKitfxyu/HeLnfWpZWMsAdz4Y14Zm/m4Wjqx6kORViApSpDdwPCVHvfSfkMH++EyOnc9GbzD/89morgutgz1pE+xJ6yBPmge4lXlZf1CrAL6Y1M7s8qd/CT0urg62dGvsQ7fGPoBalnAmLZd98RfZeyaDffEXOZyUTXJWPmtjklkbkwyAnY2GlgFq72xxQhtUx0nqrUS1VN6BjiM/24aPqwM2Wi22Wg02Nhr1X60GO63W5L76r9b0/uX9tlottjZltNNqLu/XXm5vet+kXQnH1Wg0vPL7oRqVjNdW/5xI5allB0jMzEergQdvacRj/Zpib6u1dGjVhiSvQtwARVFIuJhnvOx/ID6Tg+cyydPpzdr6ujmoSerlZLVVPQ88nOyu+5iDWgUwoKX/dQ880Wg0NPBxoYGPC7e1DQIgt7CIgwmZ7D2bwb6zF9l7NoPUnAIOJGRyICGTBf+oj/VxdTAmsm3rexIR5IGzvXxslEQGBVmeoiicSMnh7+OpLI+KL9djDp7LquSoqobMOmL98nV63ll3lPnb1atfId7OvD+2Ne1DaveCAzdC/gqJGq2iBjakXyq8IlHN4EBCJumXCs3auTrYElF86T9ITVb9PSpu5L+NVlMhf5ic7W3p3NCbzg3V5ypOxveevci+ywntocQsUnMKWB97nvWx543Hb+7vZkxm29WvQ4i3c63vna2Jg4Kqi7ScAradSGXb8VT+Pp5Kclbpva0leeiWRjTwcUFvUCgyKOj1BvXf4vuX/y3SG67advm+/uq2Bor0JbQrvq833a4zebz5sUu6clOWo+ezJHm1QjHnMpmxdD8nUnIAmNC5Pi8MaYGLLDhwQ+RdEzXWjQ5syCvUcyixeECVWq96Nj3XrJ2djYYWAe60DiruVfWgoY9rtSy012g0BHs5E+zlzK1t6gFqL0HMuUz2nc1g79mL7D17kfNZBRxKzOJQYhbf7zwDgJeLPW2D/6udjQj2LNcKMDVlxLTUIVatgiI9UacvsvV4KttOXCDmqp5Te1stnUO96NbIm3nb4kjLKSzxUrsGtezmyYHNrPr3TlHUBHb7yVSmzP/3mu1f+T2WlQeSGB4RwJCIAHzdZNq8qnT151rHUB++3nqKjzYep8igUNfNgXduj6BPc19Lh1qtaRRFub6vddVMVlYWHh4eZGZm4u7uXunH0+l0rFmzhiFDhmBnd/2XhkXFKC2hKP4TVZxQ6A0Kx1OyLw+oUhPVo6XUqTb0cbnco6r2rLYIcK91A5wSM/JMktlD57Io1JtO6aXVQFM/N+M0XW3r16Ghj4tJUl8deioNBoX8Ij15hXpyC/Xk6/Tk6dT7eTr1/qWCImatPExWfskzQRQnSNue7WvVCVJJrOWzTFEUjqfksPXYBf4+nsquuDSzaeSa+7vRq2ldejT2oVOol/H/ZfHnAJQ80LE6fbHQGxR6vP0XyZn5JSbjAPY2Ggr1/+3VaqBLQ2+Gtw5kUJg/dVzsqybYWqqkzzU7Gw26y+dkSLg/r40Mx0vOQ4muJ1+T5LWCWcsHfm1W/CFf1mANFwcbWga4cygxi9xC8zrVupfrVIsHVIUH3Vidak1XUKTnUGKWMaHdfzaDcxnmsyl4ONnRJljtmS0yGPj0rxPX/GJRGkVRL7UWJ5DFyWSeTk/+FbeNCWeJ+w3kXZWQGm9fvl9QdH3z7Jbl9nb1GNwqgFb1PPBzd6gWZRaW/CxLzSlg+4lUth5Te1fPZxWY7K/r5kDPxj70bOpD98Y+ZfYuVocvSuVVnmS8bf06rI5OYmV0IvvOZhjb2Go19Gjiw/CIQAaE+eHuKJ9nFam0DpNid3cP4eVhYdXi/76lSPJ6BUlea58dJ9MY/83Ocrd3sbch4opL/62DPfF3d5QPmRt0PivfOAhs39mLRCdkXlci6GinXvbN1xmuSij/u3+9dYA3y9FOi5OdDU52Njja2xhvZxcUcTQ5+7qey8fVgVb13GkV6KH+W8+Dep7WN6tDVX6W5ev07Dl9kb9PXODvY6nEJpmWAjjYaunc0NuYsDbzc7uu96smDaa7nmQ8Pj2XVdFJrDyQaPKe2ttq6dOsLsMiAunXwlcGYd6k8nSYBFTTKzBVSZLXK0jyWvv8tv8cj/24/5rtJnQK5u7uoTSs6yofKJWosMjAkeQs9p65yPrY82w/mVZhz63VqIPPHO1scLK/IsG0s8HpiiTTeNv+8r4rtpm31RrbONvb4mCrLbWOubxflHo28SElq4DjKdmUlHd7OttdTmY9jIltfS9ni9ZPV+ZnmaIoHD2fzd/HUvn7RCq7TqWZfcFpGeBOz6Y+9Gxclw4N6tS6Ep2y6A0KO06k8OffuxjYs3O56sVPXshh1YEkfj9wjpMXLhm3O9nZ0L+lH8MjAujdrK6sxFdOBoPCyQs5RJ25yNqYJLYcS73mY364t4sMpivD9eRr8nVL1DjlHaAwvHU9mvjJhNCVzd5WS0SQJxFBntRxsS9X8jq+UzDdGvmYJZzO9qb37Ww0Fu2x7BTqRYCHY6l1iMU1rwvu7oSNVkNeoZ7DyVkcOpdJzLksDp5T5wLOyNWpI+ZP/PcH0M3RlrBA9yuSWg9CfVyq7RetlOx8tp9INSasF7JNSwF83Rzo2aQuvZr60K2RD3XdHCwUqfWz0WroHOpF2mGFzuXsRW5U15XH+jfh0X6NOZKczaroRFYeSOJsei4rDySy8kAibo62DGzpz/DWAXRv7IOdjcw7WuxSQREHEtSFX6LOqFeWMvNKX/WwJCnZ1zcThiidJK+ixrmQnY8GSq09Kk4oOoXK3HpVrbxfLEa0rlcteihstBpmDm/Jg4v2mv3OFacTM4e3NCYXTvY2tLu8RG+xgiI9x5JziElU5wo+dC6Tw8nZZOcXsfNUOjtPpRvbOturtdrFyWyreu40ruuKrRUmGfk6Pbvj0tl2IpWtxy5w5KryCrU8xJueTXzo1bQuTXxdra50oibSaNRZUloEuPPUwGZEJ2Sy8kAiq6KTSM7KZ8XeBFbsTaCOsx2DwwMYHhFYrcssboSiKJzLyFOT1DMXiTqrLuxydbmSk50NrYM98Hd35Nf9idd8Xpn5oeJI8ipqjHydntmrYlmy62ypbUpKKETVKW9PZXX6YnE9q5+VxMHWhvAgD8KDPBh/eZtOb+D4eTWhPXQuk5jELGIvDy7cc+Yie85cvOLxWloEuNOqnjvh9TwIC/SgqZ/bTa3WcyPTmCmKwuGkbLadKJ4VIJ3Cq0oBWtVzp0fjuvRq4kO7ECkFsDSNRmNcjvr5IS2IOnuRlQcSWXMwidScQpbsOsuSXWep6+bA0PAAhrcOpF19zxr3JaOwyMChxMzLPapqz+rVgwQB6nk60S6kDu3re9I+xIvmAW7Y2WiN/19q0ueatZOa1womNa+WcSIlh+lL9nIkORuNBh6+pTEtAtx4bfXhGjHKuCapSdMXXamyBwXpDQqnLlzuoU3IIiYxk9jELHIKisza2tloaObvZkxmW9XzoLm/W7mSxesZEJSSlc/fx9Vyh7+Pp5KaY/oH39/dkZ5NfOjRxIcejX3wdpVSgIpSmX9rivQGdp5KZ+WBRNYdSja5PF7P04lhrdUe2bBA92qZyKblFBB1uUd175mSB5XaajWEBbrTPsSL9iF1aBfiSYCHU6nPWVM/16qSDNi6giSvNd/yqARe+jWGPJ0eH1d7PhjXhp5N6gI3NrBBVL6aNH2RJRkMCmfSc43lBjGJai1tSbV4NloNTXxd1XKDQHfCgzxoEeBuMtL8WvMjf3hHGzyd7fn72AW2nUg1KwVwsrOhS0MvejapS88mPjSWUoBKU1V/awqLDGw7cYGVB5L481Ayl66YWjDUx4XhEWqPrLWOHzAY1HmCo4y1qheJS71k1q6Os93lJLUO7evXISLIEyf767syIJ9rN0eS1ytI8lpzXSoo4qVfY/h53zkAujf25oNxbczqiuScWCf5YlE5ipf6jbmczB48l0XMuZKXM9ZqoGFdV8LredAiwI0vt5wqsV1pNBoIr+dBj8Y+9GxSl3YhnjJavYpY4nMtX6dn05EUVkUnseHweZPeymZ+bgxvHcCwiEAa+LhUSTwlySkoYv/ZDGPP6r6zF8nON7860dTPVU1W69ehfUgdQn1cKuSLlnyu3TiZbUDUeLGJWUz/YS+nLlxCq4EnBjTlwVsay4dENXIjI6bFtV251O/gcLW3R1EUkrPyOZig1s8W99KezyrgREoOJ1Jy+GVf+Z7f28WO/i386dFEXSBAVguqPRztbBgcHsDg8AByCorYePg8Kw8ksuXYBY6ez+bon9m8++cxIoI8GB4RyNCIAAI9S7/UfrOlNoqiEJ+eR9TZ9Ms9qxkcTc4ym47O2d6GtvU9aV9f7VltG1wHD+fKSfjlc61qSPIqqhVFUVi06yyvroqlsMiAv7sjH49vK4XwQpRBo9EQ4OFEgIcTA8P8jdtTsvM5dLln9s/YZA6eyyrjWVQvDwvj1rb1KjNcUQ24Othya5t63NqmHpm5Ov6ITWblgUT+OZlGdEIm0QmZvL7mMB1C6jC8dSCDw/1NrordyCX2giI9MefUOaP3nEkn6kyGWZ01QFAdJ9qH1DH2rDb3d7PKGTnEjZPkVVQbmXk6nvs5mjUHkwHo19yXOWNaS8+PEDfI180R3+aO9GnuS4cGXuVacMHXXab7EaY8nO0Y2yGYsR2CSc0pYG2Mmsj+ezrdODvGrJWH6NrIm+ERgdjZaHhqWbRZbXVyZj4PLtprHNyUkp3P3jMZxhkADiZkUqg3HVhlZ6OhVT0P2l++/N8upA5+8jta41l18qrX61m7dq3Z9jZt2hAUFGSBiISl7I/PYPqSvSRczMPORsOzg5oztUeoDAYRooLUxGnMRNXzcXVgcpcQJncJITkzn9UH1eVp98dnsP1EGttPlL5ISfHv3eNLD/D66sPEX8wza+PtYm/sVW0fUodW9TxkyrVayKqT17y8PIYPH0737t3x9PQ0bn/88cclea0lDAaFedvieHvdEYoMCsFeTnwyvh1tgj0tHZoQNcr1LrggxLX4ezgytUcoU3uEEp+ey8roRJbujudMem6Zj8vT6Ym/mIdGow4EK54BoEODOtT3cpZOC2HdyWuxd999ly5dulg6DFHF0i8V8tSyA/x1JAWAoeEBvHl7OO6OMmOAEJXhZhdcEKI0wV7OPHRLY+p5OvHYj/uv2f7B3o14sE8j+bwXJaoWyeuRI0e4dOkSjRo1okGDBpYOR1SB3XHpPPrDPpKz8rG31TJzeEsmdKov37iFqGSDWgUwoKW/TPcjKkV5l0jt1bSuJK6iVNUieX3ttdcICAhg//79dO/enYULF+Lr61ti24KCAgoK/ht9mJWljp7V6XTodOYTd1ckvUFh58kLRKVq8DieQpdGdeUD/zrpDQpfbo3j479OYFCgoY8zH45tTYsAN4qKzOfqK4/i817Z519cPzk31qtdkBtpPgrtgtww6Isw6K/9GFF1quv/nbZBbvi7O3A+q6CM2moH2ga5VbvXVqy6nhtLu573y6oXKcjPz2f9+vUMHz4cgOTkZPr06UOLFi34+eefS3zMK6+8wqxZs8y2L1myBGdn50qL9UCahp9Pa8ko/C9Z9bRXGNXAQGtvq32LrUpWIXx/QsuxTHVKk051DYwONeAgtfhCCFFjHEjTMP9Y8dRVV3bwqH8r72kqfzdro9zcXCZMmFAzV9iaN28eDz74IJcuXSpxVZGSel6Dg4NJTU2ttBW2/jh0nkd+PFDqkoqf3NGayDC/Sjl2TbHtRBpPLT9I2qVCnOy0vDK8BaMqaC5JnU7H+vXrGTBggKywZWXk3FgvOTfWrbqfnz8Onee1NUdIzvrv73WAhwMvDG5e7f9eVvdzYylZWVn4+PjUzBW26tSpg06nIy0tDX9/f7P9Dg4OODg4mG23s7OrlF8ivUHh9bVHS7z8oaAmsK+vPcrgiHpSQlCCIr2B99cf44stJ1EUaO7vxqcT2tHY17XCj1VZvwPi5sm5sV5ybqxbdT0/w9oEMTii3k2tsGXtquu5sZTrea+sOnlNT0/Hy8t0TsGVK1cSGBiIn591fDPbHZduMir3agqQlJnP7rh0ujbyrrrAqoHEjDwe/WEfe85cBGBi5/q8NKylzNknhBC1gI1WI38XxQ2x6uR12bJl/PLLL4wYMQJPT0/WrFnDsmXLWLRokdWMOk/JLj1xvdK7fx7hwd6N6dnUBwdbSc7Wx57n6eUHyMjV4eZgy1u3RzA0QqbhEUIIIUTZrDp5vf/++2nZsiXLli3jwoULNGzYkNjYWBo1amTp0IzKO+1H1JkMpi3cg5ujLYPC/BnWOpBujbyxq2XrLRcU6Xlr7RG+3X4agIggDz4d34763pU3mE4IIYQQNYdVJ68APXv2pGfPnpYOo1TlWVLR29WeYRGBrI1J4nxWAcuiElgWlYCXiz2DW/kzLCKwxtX6lORM2iWmL9nHwXOZAEzrEcozg5pjb1u7EnghhBBC3DirT16tXXmWVHxtZCsGtQrg5WEt+fd0OiujE1lzMJn0S4Us3nWWxbvO4uvmwNCIAIZFBNKuvqfVlEVUlJUHEnnu54PkFBTh6WzHu6Nb07+lddQtCyGEEKL6kOS1ApR3SUWtVkPnht50bujNK8PD2HEqjZUHElkXk0xKdgHfbj/Nt9tPU8/TiWERAQxvHUhYoHu1TmTzdXpmrYzlh91nAejYoA4f3dGWQE8nC0cmhBBCiOpIktcKcr1LKtraaOnZpC49m9TltZHh/H38AisPJLI+9jznMvL4auspvtp6ilAfF2Mi29TPrYpf1c05kZLNw4v3cfR8NhoNPHxLY2b0b4JtLavzFUIIIUTFkeS1AtloNXQO9SLtsELn66hhtbfV0q+FH/1a+JGv07PpSAoroxPZeDiFuNRLfPLXCT756wTN/NwYFhHAsNaBhPq4VPKruXGKorA8KoGXfztEnk6Pj6sDH45rQ48mPpYOTQghhBDVnCSvVsbRzobB4QEMDg8gp6CIjYfPs/JAIluOXeDo+WyOrs/mvfXHCK/nwbCIAIZGBBBUx3pG6ucUFPHSrzH8su8cAD0a+/D+uNblnpVBCCGEEKIskrxaMVcHW25tU49b29QjM1fHH7HJrDyQyD8n0zh4LpOD5zJ5c+0R2ofUURPZ8AB83S2XJB5KzOSRJfs4lXoJrQaeHNiMB3s3QlvDZ1EQQgghRNWR5LWa8HC2Y2yHYMZ2CCYtp4C1Mcmsik5kV1w6UWcuEnXmIrNXxdI51IvhrQMZ3CoALxf7KolNURQW7TzDq6sPU1hkIMDDkY/Ht6VjA69rP1gIIYQQ4jpI8loNebs6MKlLCJO6hHA+K5/V0Umsik5k79kMdp5KZ+epdF7+7RDdG/swPCKAgWH+eDhVzvrKmXk6/rcimrUxyQD0a+7Lu2NaU6eKEmchhBBC1C6SvFZzfu6O3NMjlHt6hBKfnsvqg2oiG3Mui63HLrD12AVe+CWGXk3rMrx1AP1b+OHiUDGnfd/Zizzywz4SLuZhZ6Ph2UHNmdojtFpP7SWEEEII6ybJaw0S7OXMA70b8UDvRpy6kMOq6CRWHkjkeEoOGw6fZ8Ph8zjaaenX3I/hrQO4pZkvjnY2130cg0Fh3rY43l53hCKDQrCXE5+Ob0frYM+Kf1FCCCGEEFeQ5LWGaljXlUf7NeHRfk04mpzNquhEVh5I5HSa2ju7+mASLvY2DAzzZ3jrAHo0rlviMq16g8LuuHRSsvPxdXOksa8rzyw/wKajFwAYGh7Am7eH4+5YOWUJQgghhBBXkuS1Fmjm70Yz/2Y8MaApMeeyWBWdyKroJM5l5PHLvnP8su8cHk52DArzZ3jrQLo09MLWRsu6mCSzVcO0GjAo6ty0M4e3ZEKn+lImIIQQQogqI8lrLaLRaAgP8iA8yINnBzVnX/xFVh5Qe2EvZBewdE88S/fE4+1iT6t6Hmw5dsHsOQyK+u8zkc2Y2Dmkil+BEEIIIWo7SV5rKa1WQ/sQL9qHePHSsJbsjktnZXQiaw8mkXapsMTEtZgGmLctjru7h5Z7FTEhhBBCiIogi8wLbLQaujby5o3bwtn9Qn+eHdSszPYKkJSZz+649KoJUAghhBDiMklehQk7Gy2Bnk7lapuSnX/tRkIIIYQQFUiSV2HG1618S8yWt50QQgghREWR5FWY6RTqRYCHI6VVs2qAAA9HOoXK8q9CCCGEqFqSvAozNloNM4e3BDBLYIvvzxzeUgZrCSGEEKLKSfIqSjSoVQBfTGqHv4dpaYC/hyNfTGrHoFYBFopMCCGEELWZTJUlSjWoVQADWvqbrLDVKdRLelyFEEIIYTGSvIoyFU+jJYQQQghhDaRsQAghhBBCVBuSvAohhBBCiGqjxpcNKIoCQFZWVpUcT6fTkZubS1ZWFnZ2dlVyTFE2OSfWS86N9ZJzY93k/FgvOTc3pjhPK87bylLjk9fs7GwAgoODLRyJEEIIIYQoS3Z2Nh4eHmW20SjlSXGrMYPBQGJiIm5ubmg0lT9KPisri+DgYOLj43F3d6/044lrk3NiveTcWC85N9ZNzo/1knNzYxRFITs7m8DAQLTasqtaa3zPq1arJSgoqMqP6+7uLr+0VkbOifWSc2O95NxYNzk/1kvOzfW7Vo9rMRmwJYQQQgghqg1JXoUQQgghRLUhyWsFc3BwYObMmTg4OFg6FHGZnBPrJefGesm5sW5yfqyXnJvKV+MHbAkhhBBCiJpDel6FEEIIIUS1IcmrEEIIIYSoNiR5FUIIUW7Hjx/n2LFjlg5DCFGLSfJagv379/Piiy8yZcoUZs2axblz58za6HQ6vvjiCyZPnsz06dPZtWtXpbUR5p544glGjx7N1q1bzfa9++67jB49mh9//NECkdVep0+fZvTo0UyYMAGdTmeyLy8vj3HjxjF69GgSExMtFKG4WlxcHPv377+ux7z++uvMnj27cgKq5VJSUnjrrbe45557eOyxx1ixYgUGg8HSYdV6X375JaNHj2bNmjUm248fP87o0aNJT0+3UGS1lySvV3n33XeZOnUqjo6O9O3bl0OHDtGsWTOzD/hRo0bx/vvv06VLFxwdHenevTu///57pbQR5v7880/Wrl3LBx98YLI9JyeHWbNmsXbtWmJiYiwUXe2UkZHBihUr+O2338x+h5cvX87q1atZsWKFcf1qYXkfffQRd911l6XDEMDRo0dp1qwZ27dvp3v37jRv3pxly5bRt29fS4dW6+3Zs4cVK1bw6KOPmnwxT0tLY8WKFeTm5lowutqpxq+wdb3Gjx/PU089Zbw/ZcoUunfvzltvvWXsyVu/fj2rVq3i0KFDtGzZElB7lp544glGjBhRoW1E6W6//XZ++uknUlJS8PX1BeCHH36gVatWXLx40aTts88+y8mTJ9FoNAQGBjJo0CAGDx5s0mbKlClMmzaN/fv3s2vXLgYOHMidd95ZZa+nphgzZgzz58/n9ttvN26bO3cuY8aMYcGCBcZtiYmJPProowDY29vTqFEjpk2bRkhICACFhYVMmTKFxx9/nE6dOhkfd+7cOR577DHee+89Y1tRMQ4ePIiHhwf169c3bjt58iQ6nY7mzZtbMLKa75NPPqF+/fr8/vvvxqXMH3zwQbMrf3l5ecyfP59du3bh4eHBkCFDTD7L/v77bxYuXMiTTz7JwoULiY+Pp1u3btx3333Y2NhU6WuqSTp27MipU6f46quvmD59eqntdu7cyeLFi0lPT6dVq1Y8+OCDeHp6ArBq1SpWrVrFl19+afKY+fPnc+rUKV577bXKfAk1ivS8XqVevXpm24KCgkySoTVr1tCyZUtjwgkwduxYTp48aawFq6g2onT169end+/eLFy40Lht7ty5TJ061axtZGQkd9xxB2PHjsXf358777zTrNf2t99+47bbbmP//v0MGTKEtm3bVvprqImmTJnCxo0bjX90jx8/zr///suECRNM2rm5uXHHHXdwxx13MGTIEJKSkmjVqhVxcXGAmtDm5+fz6aefmjxuwYIFHDhwwCTBEhXjkUce4euvvzbZNmfOHF588UULRVR7ZGVlodVqjYlrsSv/Jl26dInu3buzatUqevfuTaNGjbj33ntNkp4zZ87w/fffM2DAAOrUqUPHjh2ZPXs2999/f5W9lprI3d2dF154gdmzZ5OdnV1im99++41evXphZ2dHnz59WLlyJZ06dTL2zDZr1oyvvvqK6Ohok8e99tpruLq6VvprqEkkeb2GuLg4Vq1aRWRkpHHbqVOnzP5wFt8/depUhbYRZbvnnnuYP38+ADExMRw6dIhx48aZtevbty+jR49mzJgxPPfcc3z99de8+eabZu0iIyOZN28eEyZMIDw8vNLjr4kCAgIYMGCAsZd17ty5jBw5kjp16pi0c3NzY/To0YwePZpJkyYxd+5cBg4cyCeffGJsc++995qVGixYsIC7777b7I+8ENXZlClTOHjwID169OD9999n+/btFBUVmbR57733cHBwYM2aNUydOpUZM2awdOlSZs+ebfJ/pKCggM8++4ynn36aRx99lJ9//pn58+cTGxtb1S+rRnn44YdxcXFhzpw5ZvsUReHxxx/nySef5P3332fatGls2LCBrKws42dakyZN6NixI4sXLzY+7p9//uH06dNMnDixyl5HTSDJaxkyMzMZOXIk7dq145FHHjFuLygowNnZ2aRt8bem/Pz8Cm0jyjZy5EhSUlLYsWOH8dK0m5ubWbuMjAw+/PBD7r33XsaMGcOXX37JhQsXyMjIMGnXr1+/Koq8Zps6dSrffvstOp2OhQsXltgbDhAdHc1zzz3HpEmTGD16NLGxsSZXHQYNGoSXl5exZGfLli3ExcUxZcqUKnkdQlSVfv36sXfvXtq0acO8efPo1asXPj4+Jl/m1q1bR0ZGBuPHj2fcuHGMHTuWd999F51Ox9GjR43tbGxsGDp0qPF+165d8fX1ZceOHVX6mmoae3t7Xn31Vd5//32Sk5NN9iUmJhIXF2dSLuXs7MyQIUPYvn27cdukSZP44YcfKF4favHixfTq1Yvg4OCqeRE1hCSvpcjOzmbQoEHY29uzatUq7OzsjPs8PDzMairT0tIAjLUtFdVGlM3BwYGJEyfy+eefs2jRohKTpJycHDp16sTvv/9O27ZtGT16NIMGDTLuu5K7u3uVxF3TDRs2jJycHJ5++mnj4MerbdiwgU6dOpGXl0e/fv244447aN68uck50Wq13H333cbe9fnz5zNw4MASy3uEqO4iIiL49NNPOXToEBcuXOCuu+7i0UcfZdu2bYD6JTwsLMx4FWns2LFMnDiRZcuW0aBBA+PzuLm5mdW3enp6yqj4CjBx4kSaNGnCK6+8YrK9+G/31VeYvLy8jPsA7rjjDpKSkti6dStFRUX89NNPTJo0qdLjrmlkwFYJsrOziYyMRKfTsWHDBjw8PEz2R0RE8PHHH2MwGNBq1fw/OjoarVZLWFhYhbYR1zZ16lRat25N06ZN6dGjh9n+7du3c+7cOQ4dOmT8ErJq1aqqDrNWsbW15c4772TOnDnMnj27xEv83333HRMmTODDDz80blu+fLlZu6lTp/L666+za9culi9fblLjLCqWRqPh6hXDCwsLLRRN7ebl5cW7777LJ598QlRUFD169CA4OBidTsfo0aPLfGxGRgYXL140JlKFhYUkJCRInXgF0Gg0vPXWWwwbNoyuXbsatxd/eTh58iSNGjUybj958qTJFwtfX1/69+/P4sWLycnJITs7mzFjxlRV+DWG9LxeJScnh8GDB1NYWMj69etL7AEdN24c6enpfP/994D6wfDxxx8TGRlJ3bp1K7SNuLaIiAh+//33Uud1tbe3R6fTkZqaCkBubi5vv/12VYZYKz355JMsW7aMhx56qMT99vb2JCUlGe/v27ePX3/91axdSEgI/fv354477sDZ2Znhw4dXVsi1nr+/P/Hx8cb7iqKwZ88eC0ZUeyxdutRsoO4ff/yBwWCgVatWgPpFbuXKlaxdu9bYpqioiHnz5pk93zvvvGO8/cknn2BnZ2cydkPcuMjISHr16mXS++ru7s6QIUOMZRygzhm/evVqxo8fb/L4iRMnsnz5cubPn8+wYcPMOsjEtUnP61Wef/55tm/fTr9+/bj33nuN2+vVq8dHH30EQOPGjfn888956KGHmDdvHgkJCdjZ2bFkyRJj+4pqI8qnrISmV69e9OnTh9atW9OhQwcOHDhAixYtqjC62snPz6/MHqLHH3+cPn360KZNG7y9vYmOjqZNmzYlti2uVZ4xYwb29vaVFLEYNWoUd955J126dKFBgwZ8//33nDx5kqZNm1o6tBrP0dGRUaNGodfradSoESkpKcTExPD8888ba/HHjh3LsWPHGDVqFOHh4Xh4eHD48GHGjh1r8lweHh5s376dDh06YG9vz969e5k/f76Uo1Wgt99+22QKP4BPP/2UQYMG0axZMxo2bMjOnTu5//77GTZsmEm72267jQceeICff/6ZX375pSrDrjE0ytXXiGq5PXv2cPr0abPt7u7uDBw40GRbcnIyUVFRuLu706VLF5O62IpuI0ytX7+ewMDAUssr/vzzT+rVq2fcrygK//77L+fPn6dZs2YEBATwxx9/MHToUJycnAD4/fffad++vdRT3qDMzEzWr19PZGRkiYPmLl68yMaNG032Z2Zmsnv3bhRFoWPHjiQmJpKamkrv3r1NHnvw4EEiIiKIjo6WWSAq0COPPMKuXbvYvXu3cdvChQtZsWIF9vb2DB06lNTUVDIzM3n11VcBeOONN9Dr9bz00kuWCrvGUhSFY8eOceLECTw8PGjZsiVeXl5m7dLT09mzZw82Nja0bt0aHx8f475Fixbx1FNPce7cOWJiYoiPj6ddu3YEBgZW5UupUaKiosjNzaVnz54m2//880+ysrJM/o4UFRWxa9cu0tPTCQsLo2HDhiU+5+bNm0lNTWXEiBHyhfwGSPIqhLB6Dz/8MNHR0fz999+WDqVGGTlyJFqtlp9//tnSoYgKUpy8Xj0aXoiaRMoGhBBWa+XKlXz66ads2bKFjRs3WjqcGuPIkSNs2rSJdevW8d1331k6HCGEuC7S8yqEsFrHjh0jNjaWtm3bylKwFeiVV14hJiaG2267TSZHr2HOnj1LdHS0WZ2lEDWJJK9CCCGEEKLakKmyhBBCCCFEtSHJqxBCCCGEqDYkeRVCCCGEENWGJK9CCCGEEKLakORVCCGsyMGDB/nrr78sHYYQQlgtSV6FEMJCoqOj2bx5s8m2pUuXMnv2bMsEJIQQ1YAsUiCEEBayZMkS9uzZwy233GLcFhERIctFCiFEGSR5FUIICzh69CiHDx/m/Pnz/PjjjwD06NGDFi1amKxVv2/fPnJycujQoQP79+8nNTWVHj16UKdOHXJzc9m+fTsA3bp1w8XFxew4hw8f5ujRowQGBtK2bVvs7Oyq5gUKIUQlkeRVCCEs4Pjx4xw/fpz09HR+/fVXAEJDQ1m5ciXbtm2jb9++AHz33XesW7eOwsJCmjZtSkJCAklJSXzwwQfMmjWLpk2bEhcXh16v599//8XT0xOA/Px8Jk2axPbt2+nQoQNxcXFoNBpWrlxJgwYNLPOihRCiAkjyKoQQFjBs2DC2bdvGnj17jD2vACtXrjRre/LkSXbv3k3btm3R6/W0bt2a++67j6ioKMLCwtDpdDRr1oz58+fzxBNPADBz5kzOnz/PqVOncHJyQlEUpk6dyvTp01m1alWVvU4hhKhokrwKIYSV69SpE23btgXAxsaGjh074ufnR1hYGAB2dna0b9+eY8eOGR/z7bffMnr0aFavXo2iKCiKgr+/Pz/99BOKoqDRaCzyWoQQ4mZJ8iqEEFauTp06JvcdHBxK3Jafnw9Abm4uFy5cIDY2lvT0dJN2w4YNo7CwEAcHh8oNWgghKokkr0IIUcM4Ojpib2/PhAkTuO+++ywdjhBCVCiZ51UIISzE1dXV2FtakbRaLQMGDOCbb75Br9eb7Dt37lyFH08IIaqS9LwKIYSFdOjQgTfeeIOPP/4YX19fevToUWHP/eGHH9K7d2969OjBhAkTMBgMbNmyBVdXVxYuXFhhxxFCiKomyasQQljIoEGDmDt3Llu2bOGff/4hNDTUbJGCdu3aERgYaPK4jh07kp2dbbKta9euaLX/XUxr3LgxMTExLFiwgL179+Lp6cldd93FiBEjKvdFCSFEJdMoiqJYOgghhBBCCCHKQ2pehRBCCCFEtSHJqxBCCCGEqDYkeRVCCCGEENWGJK9CCCGEEKLakORVCCGEEEJUG5K8CiGEEEKIakOSVyGEEEIIUW1I8iqEEEIIIaoNSV6FEEIIIUS1IcmrEEIIIYSoNiR5FUIIIYQQ1YYkr0IIIYQQotr4PxZt81TzEksRAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 3))\n",
    "ov[\"MOC_depth_Sv\"].plot(ax=ax, marker=\"o\", label=\"Depth-space MOC\")\n",
    "if \"MOC_density_Sv\" in ov:\n",
    "    ov[\"MOC_density_Sv\"].plot(ax=ax, marker=\"s\", label=\"Density-space MOC\")\n",
    "ax.set_title(f\"{strait} overturning strength\")\n",
    "ax.set_ylabel(\"Sv\")\n",
    "ax.grid(True)\n",
    "ax.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4f083280",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 3))\n",
    "ov[\"heat_total_PW\"].plot(ax=ax, marker=\"o\", label=\"Total\")\n",
    "if \"heat_overturning_density_PW\" in ov:\n",
    "    ov[\"heat_overturning_density_PW\"].plot(ax=ax, marker=\"s\", label=\"Overturning, density\")\n",
    "    ov[\"heat_gyre_density_PW\"].plot(ax=ax, marker=\"s\", label=\"Gyre, density\")\n",
    "ax.set_title(f\"{strait} heat transport decomposition\")\n",
    "ax.set_ylabel(\"PW\")\n",
    "ax.grid(True)\n",
    "ax.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d5bf4176",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2, figsize=(10, 6), sharex=False)\n",
    "\n",
    "# --------------------------------------------------\n",
    "# Depth-space\n",
    "# --------------------------------------------------\n",
    "psi_z = ov[\"overturning_depth_streamfunction_Sv\"].mean(\"time\")\n",
    "imax = psi_z.argmax()\n",
    "\n",
    "\n",
    "ax[0].plot(psi_z, psi_z.lev, color=\"navy\", lw=2)\n",
    "ax[0].scatter(\n",
    "    psi_z.isel(lev=imax),\n",
    "    psi_z.lev.isel(lev=imax),\n",
    "    color=\"b\",\n",
    "    zorder=5,\n",
    ")\n",
    "ax[0].invert_yaxis()\n",
    "ax[0].set_xlabel(\"Transport (Sv)\")\n",
    "ax[0].set_ylabel(\"Depth (m)\")\n",
    "ax[0].set_title(\"Depth-space overturning\")\n",
    "ax[0].grid(True)\n",
    "\n",
    "# --------------------------------------------------\n",
    "# Density-space\n",
    "# --------------------------------------------------\n",
    "psi_rho = ov[\"overturning_density_streamfunction_Sv\"].mean(\"time\")\n",
    "\n",
    "def transform_sigma(sigma):\n",
    "    return (sigma - 25.0) ** 3\n",
    "\n",
    "imax = psi_rho.argmax()\n",
    "\n",
    "ax[1].plot(psi_rho, transform_sigma(psi_rho.density_bin),c='firebrick', lw=2)\n",
    "ax[1].scatter(\n",
    "    psi_rho.isel(density_bin=imax),\n",
    "    transform_sigma(psi_rho.density_bin.isel(density_bin=imax)),\n",
    "    color=\"red\",\n",
    "    zorder=5,\n",
    ")\n",
    "ticks = np.arange(25, 28.5, 0.5)\n",
    "\n",
    "ax[1].set_yticks(transform_sigma(ticks))\n",
    "ax[1].set_yticklabels([f\"{t:.1f}\" for t in ticks])\n",
    "\n",
    "ax[1].invert_yaxis()\n",
    "\n",
    "ax[1].set_xlabel(\"Transport (Sv)\")\n",
    "ax[1].set_ylabel(r\"$\\sigma_0$ (kg m$^{-3}$)\")\n",
    "ax[1].set_title(\"Density-space overturning\")\n",
    "ax[1].grid(True)\n",
    "\n",
    "fig.suptitle(f\"{strait} mean overturning streamfunctions\", fontsize=14)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1955085c",
   "metadata": {},
   "source": [
    "## 7. Barotropic adjustment\n",
    "\n",
    "Some workflows require the net volume transport through a section to match a prescribed target, for example zero net volume transport across a closed section. StraitFlux can apply a barotropic correction.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "e2c0eacd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "read and load surface fields for indices/grid check\n",
      "[########################################] | 100% Completed | 616.31 ms\n",
      "[########################################] | 100% Completed | 3.34 sms\n",
      "[########################################] | 100% Completed | 3.15 sms\n",
      "calc indices\n",
      "calculating indices...\n",
      "0.1\n",
      "line good\n",
      "line good\n",
      "read t, u, v and optional s fields\n",
      "load final section subset\n",
      "[########################################] | 100% Completed | 32.21 s\n",
      "[########################################] | 100% Completed | 34.85 s\n",
      "[########################################] | 100% Completed | 37.30 s\n",
      "[########################################] | 100% Completed | 8.27 sms\n",
      "[########################################] | 100% Completed | 32.17 s\n",
      "[########################################] | 100% Completed | 8.58 sms\n",
      "[########################################] | 100% Completed | 8.07 sms\n"
     ]
    }
   ],
   "source": [
    "strait='OSNAP'\n",
    "ov_bt = line.transports_overturning(\n",
    "    strait,\n",
    "    model,\n",
    "    time_start,\n",
    "    time_end,\n",
    "    file_u,\n",
    "    file_v,\n",
    "    file_t,\n",
    "    file_z,\n",
    "    file_s=file_s,\n",
    "    file_zu=file_zu,\n",
    "    file_zv=file_zv,\n",
    "    mesh_dxv=mesh_dxv,\n",
    "    mesh_dyu=mesh_dyu,\n",
    "    apply_barotropic_correction=True,   # whether to apply barotropic correction\n",
    "    transport_target_m3s=0.0,           # target barotropic transport for correction\n",
    "    path_save=path_save,\n",
    "    path_indices=path_indices,\n",
    "    path_mesh=path_mesh,\n",
    "    user_rename_dict=user_rename_dict,\n",
    "    return_diagnostics=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "3ba839a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x350 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2, figsize=(12, 3.5), sharex=True)\n",
    "\n",
    "# --------------------------------------------------\n",
    "# Volume transport\n",
    "# --------------------------------------------------\n",
    "ov[\"volume_transport_Sv\"].plot(\n",
    "    ax=ax[0],\n",
    "    marker=\"o\",\n",
    "    label=\"Raw\",\n",
    ")\n",
    "\n",
    "ov_bt[\"volume_transport_Sv\"].plot(\n",
    "    ax=ax[0],\n",
    "    marker=\"s\",\n",
    "    label=\"Barotropic correction\",\n",
    ")\n",
    "\n",
    "ax[0].set_title(\"Volume transport\")\n",
    "ax[0].set_ylabel(\"Transport (Sv)\")\n",
    "ax[0].grid(True)\n",
    "ax[0].legend()\n",
    "\n",
    "# --------------------------------------------------\n",
    "# Heat transport\n",
    "# --------------------------------------------------\n",
    "ov[\"heat_total_PW\"].plot(\n",
    "    ax=ax[1],\n",
    "    marker=\"o\",\n",
    "    label=\"Raw\",\n",
    ")\n",
    "\n",
    "ov_bt[\"heat_total_PW\"].plot(\n",
    "    ax=ax[1],\n",
    "    marker=\"s\",\n",
    "    label=\"Barotropic correction\",\n",
    ")\n",
    "\n",
    "ax[1].set_title(\"Heat transport\")\n",
    "ax[1].set_ylabel(\"Transport (PW)\")\n",
    "ax[1].grid(True)\n",
    "\n",
    "fig.suptitle(f\"{strait}: Effect of the barotropic adjustment\", fontsize=14)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "7eb1020a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2, figsize=(10, 6), sharex=False)\n",
    "\n",
    "# ==================================================\n",
    "# Depth-space\n",
    "# ==================================================\n",
    "psi_z = ov[\"overturning_depth_streamfunction_Sv\"].mean(\"time\")\n",
    "psi_z_bt = ov_bt[\"overturning_depth_streamfunction_Sv\"].mean(\"time\")\n",
    "\n",
    "imax = psi_z.argmax()\n",
    "imax_bt = psi_z_bt.argmax()\n",
    "\n",
    "ax[0].plot(\n",
    "    psi_z,\n",
    "    psi_z.lev,\n",
    "    color=\"navy\",\n",
    "    lw=2,\n",
    "    label=\"Without adjustment\",\n",
    ")\n",
    "\n",
    "ax[0].plot(\n",
    "    psi_z_bt,\n",
    "    psi_z_bt.lev,\n",
    "    color=\"deepskyblue\",\n",
    "    lw=2,\n",
    "    ls=\"--\",\n",
    "    label=\"With adjustment\",\n",
    ")\n",
    "\n",
    "ax[0].scatter(\n",
    "    psi_z.isel(lev=imax),\n",
    "    psi_z.lev.isel(lev=imax),\n",
    "    color=\"navy\",\n",
    "    zorder=5,\n",
    ")\n",
    "\n",
    "ax[0].scatter(\n",
    "    psi_z_bt.isel(lev=imax_bt),\n",
    "    psi_z_bt.lev.isel(lev=imax_bt),\n",
    "    color=\"deepskyblue\",\n",
    "    zorder=5,\n",
    ")\n",
    "\n",
    "ax[0].invert_yaxis()\n",
    "ax[0].set_xlabel(\"Transport (Sv)\")\n",
    "ax[0].set_ylabel(\"Depth (m)\")\n",
    "ax[0].set_title(\"Depth-space overturning\")\n",
    "ax[0].grid(True)\n",
    "ax[0].legend()\n",
    "\n",
    "# ==================================================\n",
    "# Density-space\n",
    "# ==================================================\n",
    "psi_rho = ov[\"overturning_density_streamfunction_Sv\"].mean(\"time\")\n",
    "psi_rho_bt = ov_bt[\"overturning_density_streamfunction_Sv\"].mean(\"time\")\n",
    "\n",
    "\n",
    "def transform_sigma(sigma):\n",
    "    return (sigma - 25.0) ** 3\n",
    "\n",
    "\n",
    "imax = psi_rho.argmax()\n",
    "imax_bt = psi_rho_bt.argmax()\n",
    "\n",
    "ax[1].plot(\n",
    "    psi_rho,\n",
    "    transform_sigma(psi_rho.density_bin),\n",
    "    color=\"firebrick\",\n",
    "    lw=2,\n",
    "    label=\"Without adjustment\",\n",
    ")\n",
    "\n",
    "ax[1].plot(\n",
    "    psi_rho_bt,\n",
    "    transform_sigma(psi_rho_bt.density_bin),\n",
    "    color=\"tomato\",\n",
    "    lw=2,\n",
    "    ls=\"--\",\n",
    "    label=\"With adjustment\",\n",
    ")\n",
    "\n",
    "ax[1].scatter(\n",
    "    psi_rho.isel(density_bin=imax),\n",
    "    transform_sigma(psi_rho.density_bin.isel(density_bin=imax)),\n",
    "    color=\"firebrick\",\n",
    "    zorder=5,\n",
    ")\n",
    "\n",
    "ax[1].scatter(\n",
    "    psi_rho_bt.isel(density_bin=imax_bt),\n",
    "    transform_sigma(psi_rho_bt.density_bin.isel(density_bin=imax_bt)),\n",
    "    color=\"tomato\",\n",
    "    zorder=5,\n",
    ")\n",
    "\n",
    "ticks = np.arange(25, 28.5, 0.5)\n",
    "\n",
    "ax[1].set_yticks(transform_sigma(ticks))\n",
    "ax[1].set_yticklabels([f\"{t:.1f}\" for t in ticks])\n",
    "\n",
    "ax[1].invert_yaxis()\n",
    "\n",
    "ax[1].set_xlabel(\"Transport (Sv)\")\n",
    "ax[1].set_ylabel(r\"$\\sigma_0$ (kg m$^{-3}$)\")\n",
    "ax[1].set_title(\"Density-space overturning\")\n",
    "ax[1].grid(True)\n",
    "ax[1].legend()\n",
    "fig.suptitle(f\"{strait} mean overturning streamfunctions\", fontsize=14)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2724e0f",
   "metadata": {},
   "source": [
    "## 8. Water-mass transport decomposition\n",
    "\n",
    "Water-mass definitions are region-specific. You can define water masses using simple thresholds in temperature, salinity, and density. The example below follows a Greenland–Scotland Ridge style classification.\n",
    "\n",
    "See e.g. Mayer et al. (2023, https://doi.org/10.5194/sp-1-osr7-14-2023)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "7b5092ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "#These thresholds are region-specific and should be adapted for other sections or scientific applications.\n",
    "\n",
    "watermass_definitions = {\n",
    "    \"Overflow\": {\n",
    "        \"sigma0_min\": 27.8,\n",
    "    },\n",
    "    \"Polar\": {\n",
    "        \"thetao_max\": 4.0,\n",
    "        \"sigma0_max\": 27.7,\n",
    "    },\n",
    "    \"Atlantic\": {\n",
    "        \"thetao_min\": 4.0,\n",
    "        \"sigma0_max\": 27.8,\n",
    "    },\n",
    "}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "4c8503f5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "read and load surface fields for indices/grid check\n",
      "[########################################] | 100% Completed | 617.55 ms\n",
      "[########################################] | 100% Completed | 3.35 sms\n",
      "[########################################] | 100% Completed | 3.15 sms\n",
      "calc indices\n",
      "calculating indices...\n",
      "0.1\n",
      "line good\n",
      "line good\n",
      "read t, s, u, v and z fields\n",
      "load final section subset\n",
      "[########################################] | 100% Completed | 17.22 s\n",
      "[########################################] | 100% Completed | 614.12 ms\n",
      "[########################################] | 100% Completed | 18.96 s\n",
      "[########################################] | 100% Completed | 20.33 s\n",
      "[########################################] | 100% Completed | 8.38 sms\n",
      "[########################################] | 100% Completed | 8.15 sms\n",
      "[########################################] | 100% Completed | 10.29 ss\n"
     ]
    }
   ],
   "source": [
    "strait='GSR'\n",
    "wm = line.watermass_transports(\n",
    "    strait,\n",
    "    model,\n",
    "    time_start,\n",
    "    time_end,\n",
    "    file_u,\n",
    "    file_v,\n",
    "    file_t,\n",
    "    file_s,\n",
    "    file_z,\n",
    "    file_zu=file_zu,\n",
    "    file_zv=file_zv,\n",
    "    mesh_dxv=mesh_dxv,\n",
    "    mesh_dyu=mesh_dyu,\n",
    "    watermass_definitions=watermass_definitions,\n",
    "    path_save=path_save,\n",
    "    path_indices=path_indices,\n",
    "    path_mesh=path_mesh,\n",
    "    user_rename_dict=user_rename_dict,\n",
    "    return_diagnostics=False,\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "80b24677",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 3))\n",
    "for name in watermass_definitions:\n",
    "    var = f\"volume_transport_{name}_Sv\"\n",
    "    if var in wm:\n",
    "        wm[var].plot(ax=ax, marker=\"o\", label=name)\n",
    "wm[\"volume_transport_Total_Sv\"].plot(ax=ax, color=\"k\", linewidth=2, label=\"Total\")\n",
    "ax.set_ylabel(\"Sv\")\n",
    "ax.set_title(f\"{strait} water-mass volume transports\")\n",
    "ax.grid(True)\n",
    "ax.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b46abb50",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "55ff3c2a",
   "metadata": {},
   "source": [
    "## 10. Custom sections\n",
    "\n",
    "If a section is not predefined, provide either start/end coordinates via `coords`, or a full polyline via `set_latlon=True`, `lon_p=...`, and `lat_p=...`.\n",
    "\n",
    "This allows transports to be calculated across arbitrary sections, including exactly along observational mooring arrays (e.g. OSNAP, RAPID, or SAMBA), repeat hydrographic sections, or user-defined transects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "837161cc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "read t, u and v fields\n",
      "load t, u and v fields\n",
      "[########################################] | 100% Completed | 612.40 ms\n",
      "[########################################] | 100% Completed | 712.37 ms\n",
      "[########################################] | 100% Completed | 613.49 ms\n",
      "[########################################] | 100% Completed | 805.54 ms\n",
      " ...calculating transport\n",
      "calc u\n",
      "calc v\n",
      "calc line\n"
     ]
    }
   ],
   "source": [
    "# Example: define a simple start/end section\n",
    "custom_coords = (52, -57, 48.5, -3.5)  # (lat_start, lon_start, lat_end, lon_end)\n",
    "\n",
    "custom_transport = line.transports(\n",
    "    \"volume\",\n",
    "    \"MyCustomSection\",\n",
    "    model,\n",
    "    time_start,\n",
    "    time_end,\n",
    "    file_u,\n",
    "    file_v,\n",
    "    file_t,\n",
    "    file_z,\n",
    "    file_zu=file_zu,\n",
    "    file_zv=file_zv,\n",
    "    coords=custom_coords,   #supply custom coordinates via start and end points\n",
    "    mesh_dxv=mesh_dxv,\n",
    "    mesh_dyu=mesh_dyu,\n",
    "    path_save=path_save,\n",
    "    path_indices=path_indices,\n",
    "    path_mesh=path_mesh,\n",
    "    user_rename_dict=user_rename_dict,\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a04cefaa",
   "metadata": {},
   "outputs": [],
   "source": [
    "oc=xr.open_dataset('Downloads/osnap_coords_4.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "4968a690",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calc indices\n",
      "read and load files for indices\n",
      "[########################################] | 100% Completed | 2.22 sms\n",
      "[########################################] | 100% Completed | 3.23 sms\n",
      "[########################################] | 100% Completed | 2.94 sms\n",
      "calculating indices...\n",
      "0.1\n",
      "!!!ATTENTION!!!: last point water, recheck indices line!\n",
      "line good\n",
      "read t, u and v fields\n",
      "load t, u and v fields\n",
      "[########################################] | 100% Completed | 32.95 s\n",
      "[########################################] | 100% Completed | 34.54 s\n",
      "[########################################] | 100% Completed | 35.57 s\n",
      "[########################################] | 100% Completed | 8.45 ss\n",
      " ...calculating transport\n",
      "rolling T\n",
      "calc u\n",
      "calc v\n",
      "calc line\n"
     ]
    }
   ],
   "source": [
    "# Example: define a polyline section\n",
    "lon_p = oc.lon\n",
    "lat_p = oc.lat\n",
    "\n",
    "polyline_transport = line.transports(\n",
    "    \"heat\",\n",
    "    \"OSNAP_exact\",\n",
    "    model,\n",
    "    time_start,\n",
    "    time_end,\n",
    "    file_u,\n",
    "    file_v,\n",
    "    file_t,\n",
    "    file_z,\n",
    "    file_zu=file_zu,\n",
    "    file_zv=file_zv,\n",
    "    set_latlon=True,    #set to True to use lat/lon coordinates instead of pre-defined section\n",
    "    lon_p=lon_p,        #longitude coordinates of the polyline section\n",
    "    lat_p=lat_p,        #latitude coordinates of the polyline section\n",
    "    mesh_dxv=mesh_dxv,\n",
    "    mesh_dyu=mesh_dyu,\n",
    "    path_save=path_save,\n",
    "    path_indices=path_indices,\n",
    "    path_mesh=path_mesh,\n",
    "    user_rename_dict=user_rename_dict,\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "e45e71b0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calc indices\n",
      "read and load files for indices\n",
      "[########################################] | 100% Completed | 2.43 sms\n",
      "[########################################] | 100% Completed | 3.23 sms\n",
      "[########################################] | 100% Completed | 2.92 sms\n",
      "calculating indices...\n",
      "0.1\n",
      "line good\n",
      "line good\n",
      "read t, u and v fields\n",
      "load t, u and v fields\n",
      "[########################################] | 100% Completed | 33.95 s\n",
      "[########################################] | 100% Completed | 34.86 s\n",
      "[########################################] | 100% Completed | 39.91 s\n",
      "[########################################] | 100% Completed | 12.51 ss\n",
      " ...calculating transport\n",
      "rolling T\n",
      "calc u\n",
      "calc v\n",
      "calc line\n"
     ]
    }
   ],
   "source": [
    "approxi_transport = line.transports(\n",
    "    \"heat\",\n",
    "    \"OSNAP\",\n",
    "    model,\n",
    "    time_start,\n",
    "    time_end,\n",
    "    file_u,\n",
    "    file_v,\n",
    "    file_t,\n",
    "    file_z,\n",
    "    file_zu=file_zu,\n",
    "    file_zv=file_zv,\n",
    "    mesh_dxv=mesh_dxv,\n",
    "    mesh_dyu=mesh_dyu,\n",
    "    path_save=path_save,\n",
    "    path_indices=path_indices,\n",
    "    path_mesh=path_mesh,\n",
    "    user_rename_dict=user_rename_dict,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "a2f989de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3kAAAGGCAYAAADGq0gwAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjExLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlcelbwAAAAlwSFlzAAAPYQAAD2EBqD+naQAAsthJREFUeJzs3Xd4U9UbwPFvugeUAi0UKFD23iCzrLL3UNkyBEGQIaCCDEEZ4gQBgZ9MRQRBtqyy95Ihe0OhzLKhdN/fH8eEpm3atKRNx/t5njxNbk7uPUlvm7w573mPTtM0DSGEEEIIIYQQ6YKNtTsghBBCCCGEEMJyJMgTQgghhBBCiHREgjwhhBBCCCGESEckyBNCCCGEEEKIdESCPCGEEEIIIYRIRyTIE0IIIYQQQoh0RII8IYQQQgghhEhHJMgTQgghhBBCiHREgjwhhBBCCCGESEckyBNCCPHGJkyYgE6nIyQkJN5tIu1bvHgxOp2O8+fPW7srFrdz5050Oh2bNm2Kt11cr0F6fl2EEGmPBHlCiDQvIiKChQsX0qhRI3LkyIGDgwN58uShWrVqjB07lsuXLxu1f/r0KV9++SVlypTBzc2NHDlyULt2bWbNmsXz58+N2np5eaHT6QwXFxcXypcvz9SpU4mKikpyn2fMmGG035iX2bNnJ3nfljB69Gh0Oh0RERFW7YcQMc2dOxedThfr71oIIcRrEuQJIdK0J0+eUK9ePYYNG0aLFi04dOgQL1684NixYwwYMIBly5bRoEEDQ/uQkBBq1arFjBkzGDduHNevX+fChQt06tSJzz//nClTpsQ6Rs2aNdE0DU3TuHbtGg0bNuTjjz9m1KhRb9z/HTt2GPYd/dKvX7833re1jR49Gk3TcHJysnZXhAV17doVTdMoXry4tbuSqsjrIoRITSTIE0KkaT169ODYsWPs3r2bQYMGUaBAARwcHMiZMyfdunXj33//pVOnTob2a9eu5fTp00yaNIn27duTLVs2smbNyocffsjRo0cpUKBAvMfLmTMn33zzDcWKFWPmzJlvNJonhBBCCJEcJMgTQqRZx48fZ82aNXzwwQeUKlUqzjaOjo5MnjzZcPvRo0cA5MmTJ1bbQoUK8f777yd4XJ1OR6FChXj+/DlPnz41bL979y46nY6OHTsm9qmY9PTpU4oUKUKpUqV4+fKlYfujR4/w8fGhfPnyvHr1Cnidxqa/ZM6cmZo1a7J69epY+7148SJdu3Yld+7cODs7U65cOf73v/8RFRVF165dmThxIgD29vaG/Z0+fTpRfY9rTt7w4cOxs7Pj1atXfPjhh2TLlg03Nzc6dOhg+N3E7Gfnzp3JmTMnDg4OFC1alG+++Sbe4HrOnDnodDoOHjwY674lS5ag0+nYsWMHADdv3qR79+54e3vj4uJCyZIlGTt2bKy0XXOY+/rrX4Pnz5/To0cP3N3dcXd3p0uXLty7d++N27548YIPPvgADw8P8ubNC0BUVBTff/89JUuWxNHRkezZs/P2228b5o+Fh4dTs2ZNvLy8uHPnjmGfoaGhVKlSBW9vbx48eADEPfdMn358/fp1hg8fTo4cOciWLRuDBg0iIiKC8PBwhg0bRs6cOcmUKRNdu3Y1Op8Btm7dGis1ulKlSsydO9fQZvTo0fTp0weAIkWKGNquX7/e0ObOnTt88MEHeHt74+DgQP78+RkxYgShoaFGxzt48CC+vr44Ozvj7e3NN998k/AvOR7xvS4BAQGMHj0aLy8vXFxcaNq0KdevX4+1D3P7LoQQCZEgTwiRZm3evBmAxo0bm/2YGjVqYGNjw/fff2/40JpYmqZx6dIlMmfOjLu7e5L2Ya4sWbKwYsUKrl27Ru/evQ3H79q1K0+ePGHFihU4OzsD0Lt3b0O6Z2RkJOfOnaN27dq0b9+evXv3GvZ54sQJKleuzK1bt1i7di1BQUEsXryYY8eO8e+//7J48WJDKmp4eLhhn6VLl7bY8/r4449p3Lgx169fZ82aNfj7+zNo0CCjNqdOnaJKlSo8evSIrVu38ujRI7777jumTJkSq210nTt3xtXVlXnz5sW6b/78+RQsWJC6desC0KpVKy5evMiWLVt49OgRq1evxsnJieXLlyf6OZn7+usNGDCA1q1bExAQwN9//82BAwfw8/MzBO1v0rZJkyZcunSJcePGAdCvXz8+//xzBg8ezN27d9m9ezd3796lWrVqXLp0CXt7e/7880+ioqJ49913DXMxBw8ezMmTJ/nzzz/x9PRM8DUYM2YMFSpU4NKlSyxbtoz58+czYcIEPv74Y8qVK8fFixdZu3Yta9asYfTo0UaPbdCggeH1i4qK4vr163Tt2pV+/fqxdOlSQH1x8MsvvwBw6dIlQ/sWLVoAcPv2bapUqcLx48f566+/ePToEb/99hvLli2jffv2hmP9+++/1K9fH3d3d06dOsXx48cJCwvjp59+SvA5JsW4ceMoWLAg58+fZ9++fZw/f54uXboYtTG370IIYRZNCCHSqA8//FADtNOnTyfqcTNmzNAyZcqk2dnZaTVq1ND69++vLV++XHv27Fmstjlz5tRq1qxpuH337l1t6NChGqB99dVXSe779OnTNcDk5dy5c0bt58+frwHa9OnTtS+//FIDtJUrV5p1rNKlS2s9evQw3K5Vq5aWK1cu7cWLFyYfM2rUKA3QwsPDzTrGV199pQHaq1ev4t02bNgwDdDmz59v9PiRI0dqtra2Rr+DevXqaXnz5tVevnxp1Hb27NmajY2NduXKFZP96dGjh5Y5c2aj53jt2jVNp9NpEyZM0DRN0548eaIB2rRp08x6jkkV8/XXvwazZs0yardz504N0H7++ec3ajtz5kyjtmfOnNEA7dNPPzXafu/ePc3FxUXr0KGDYZu/v79mY2OjDRs2TPv11181QPvxxx+NHvfbb7/FOkf15/O4ceOM2vbq1UtzdXXVxowZY7S9T58+WubMmWO9VnFp0aKFVrduXcPtX375RQO0S5cuxWrbs2dPLVOmTNrt27eNtm/atEkDtB07dmiapmlt27bVsmXLFutvoE2bNhqgbdy4Md4+xfUaxPe6jB071ujxc+bM0QDtzJkzie67EEKYI0OP5AUHBzN//nxq165NpUqVUmw/PXv2pHTp0uzbty/JxxRCqBGtuBw9ejRWtcqjR48a7h8wYAC3b9/mzz//pF69ely6dInOnTtTpEgRtmzZEmt/+/btM+zHy8uLH374gS+//DLWSERSmCq8ErN4Q8+ePenVqxdDhw5l3LhxDB8+nLZt2xq1CQkJYfz48ZQqVQpnZ2ejNEt9JcKnT5+yb98+Wrdujaur6xv3P6maN29udLt06dJERkZy48YNAJ4/f86uXbto3rw5Li4uRm0bNGhAVFQUe/bsMbn/999/n+fPnxuNyC1YsAAbGxt69OgBqFFSHx8fvvvuOxYsWMDdu3ff6DmZ8/pH16pVK6PbderUwd3dne3bt1u0rb5Nu3btjLbnyJEDX19ftm3bZtjWoEEDxo0bx/fff0+fPn14++23GTJkSPxPPJqmTZsa3S5evDgvX76kSZMmRttLlCjB8+fPCQoKMmyLiopi6tSpVKpUiUyZMhmlYppbSXPdunXUqlWLXLlyGW2vV68etra27Nq1C4Bt27bh5+cX62+gTZs25j7VRInrfAe4evWqYZu5fRdCCHNk6CCvfv367Nmzh/Lly3PmzJkU2c9PP/3Ev//+y5kzZ5I050MI8Vr+/PkBNa8qusqVKxuCpW+//TbOx2bOnJm2bdsyYcIEtmzZwpkzZ7CxsaFjx46x5grpq2tGRkZy6dIlmjdvzpQpUzh8+HDyPDETevfuTXh4OLa2tgwdOjTO+7/77jvGjRvHzZs3iYyMRNM0qlWrRnh4OABBQUFomhbnnMSUYmNjQ44cOYy2ubm5AapaKsD9+/eJiorif//7H3Z2dtja2mJra4uNjQ2FCxcG4OHDhyaPUatWLYoVK2ZI2YyKimLhwoU0btzY6Llv2rSJSpUqMWDAAHLlykXx4sUZO3YsL168SPTzMuf1jy7mawCqsE/0wCexbXU6XawgQf86eXl5xdqHl5dXrNexe/fu2NvbExoayogRI+J4pqbFPHbmzJnj3a7/fQOMHTuWTz75hA8++IBLly4RERGBpml07NgxztcvpsjISIKCgti8eXOsc8bR0ZHIyEgePnxIZGQkz549I2fOnLH2Edc2S4j5/GOe7+b2XQghzJWhg7wdO3awYMECypYta7LNq1evmDhxIr6+vvj6+jJ8+HCjNyVz9wNqHsw333xjNIlcCJF0+rl4+rl5b6JIkSJ06dKFx48fm/yyRh9gLFu2jOzZs9O1a1fCwsLe+NjmePr0Kd26daNYsWK4urrSo0cPo+IjYWFhLFu2jD59+vDOO+/g4eGBjY36F3/t2jVDOw8PD3Q6HYGBgSnS77jodLoE22TPnh2dTsfQoUOJiIggMjKSyMhIoqKiDAF8XIFudO+//z579+7l4sWLbN26lYCAgFiFdYoVK8aqVat48uQJBw4coG3btkyaNMkw/9Fc5r7+0d2/fz/Wtnv37pE9e/Ykt7WxscHW1tZoW7Zs2QztE9pHeHg4HTt2JFu2bOTPn59evXrFOe/PFFO/W3N+57/++istW7akb9++5MqVy/A8TL1+Mdna2uLu7k779u1NnjM//fQTtra2uLm5mXw9kkNCz9/cvgshhLkydJCnL1ZgSmRkJM2bN2f37t2MHTuWr7/+moCAAGrXrm30rWJC+wF4+fIlHTt2ZMaMGbG+0RNCJE2FChVo2bIlv/zyC+fOnTPrMcuXL2f37t1x3qcPfBIqpuLq6sqECRO4dOlSii1a3qNHD+7du8eqVatYuHAh/v7+fPXVV7HaOTo6Gt3esmWL0QfXLFmyUKtWLdasWRNrxDI6fRqbtar6ubu7U6tWLdauXWtUnTMx9CNS8+fPZ968eXh6etKyZcs42zo4OFCtWjUmT55MkyZNTJ4jCUno9Y9u3bp1Rrd3797NkydP8PPze6O2MdWvXx+AVatWGW1/8OABu3fvNtrH8OHDOXz4MEuXLmXFihWcP3+eAQMGJHgMS4n5+p0/f54jR44YbYvv3GzZsiXbt2+PczQ0uvr167N9+3aCg4ONtq9ZsyYp3bYIc/suhBDmyNBBXkLWrFnDmTNnWLt2LQ0bNqRmzZr8/vvv3L17lw0bNiRqX/3796d27drJlu8vREa1aNEiypYti6+vL9OnT+fGjRuEh4fz8OFDdu7cafhb1X+T/vDhQ+rXr8/AgQM5ffo0oaGh3Lx5k4kTJ7J06VJatWpF0aJFEzxuly5dKFmyJBMnTjSk9iXHEgoA33zzDatXr2bu3LmUKFGC1q1bM3z4cL788ku2bt0KqCClcePGzJs3j3379vHixQs2bdrEuHHjYs0VnjZtGs+fP6d58+YcPXqUly9fcvr0aT788ENOnDgBvJ4ztG7dOkOlxZQ2Y8YM7t27R+vWrTly5AgvX74kMDCQ9evX06RJkwRHI3PkyEGLFi1YsGABa9as4b333sPe3t5w/9mzZ2nVqhWbNm3i3r17vHr1ih07dnDw4EHq1atnaLdp0yZ0Oh1ff/21yWMl5vUHNXKzb98+1qxZw/Pnz9m/fz+9evWiRIkShjmDSWkbl1KlStGrVy9+/PFH5s6dy5MnTzh79izt27fHzs6O8ePHA+oLkJ9++omJEydSt25dKleuzI8//siCBQuYP39+gsd5U61atWL16tWsX7+ely9fsn//fnr06GEIUvX05+aGDRtijaRPnjwZV1dXmjZtys6dO3n27Bn3799n+/btdOjQwbCsxhdffMHLly/p1KkTV65cISgoyGipFWswt+9CCGEOCfLisWfPHl6+fEnVqlUpV64cZcuWpVKlSjx//pyLFy+avZ/ff/+dAwcO8OOPPyZjb4XImLJmzcquXbuYMmUKa9asoVKlSri6ulKqVCk+/vhjihYtyu7du6lYsSKgCpj88ccf3Lp1i1atWpE5c2ZKlSrFmjVr+Pbbb80unW9jY8OXX37J/fv3mTp1apL7X69evVhFYnQ6naHYxZ49exg1ahQDBw6kQ4cOhsdNmjSJmjVr0rlzZ0Ows2DBAho1akSbNm3InTs3M2bM4PfffydTpkxGx6xQoQJHjhzBy8uLZs2a4eHhQbdu3ahQoYIh7bxFixZ89NFHDB48GAcHhyStk/emypYty/Hjx/H29qZdu3ZkzZqV6tWrM3fuXIYOHWrWvMLevXtz//59QkNDY6VqlihRgg8++IDp06dTrlw5PD09GTBgAAMHDkxSWr25r7/ejBkzWL58Od7e3jRt2pQqVaqwffv2OLNDEtM2Lv/73//46quv+P7778mZMye1atXCw8ODAwcOUKxYMS5evMj7779Pq1at+PTTTw2P69+/P506deKjjz7i5MmTiX5NEmPKlCn07t2bDz74gBw5cvD5558za9asWL/nMmXKMGHCBH766SdDgRv9Onl58uThn3/+oUaNGrz//vt4enpSrlw5vv76a9555x2qVKkCQPny5dm2bRtBQUGUKlWKcuXKoWlavEtzJDdz+y6EEObQaabK02Ugc+fO5aOPPoqVEtS3b1+OHj3KokWLYj0mZ86csdYMMrWfFi1acOTIEUP7iIgILly4QP78+WnYsKFhzR8hhBDp3/Dhw5k6dapZI6SJaSuEEELo2Vm7A6lZ0aJFWbZsGQUKFHijUuM///wzz549M9x++PAhdevWZeTIkYlaxFkIIYQQQgghEiLpmvF47733sLOzo1+/fobJ2a9eveKHH37g0qVLZu8nX758lC5d2nApVqwYoMq/+/j4JEfXhRBCCCGEEBlUhg7yPvnkE0qXLs0XX3xBWFiYIQj7999/AfD09MTf35/z58+TLVs2ChQogJeXF3fu3DGaI5DQfoQQQgghhBAipWToOXm3bt2KteYdQKFChWJNZr9//z4vX74kf/78hrWPkrIfUHPyzp8/j4+Pj8kJ+UIIIYQQQgiRFBk6yBNCCCGEEEKI9CZDp2sKIYQQQgghRHqTKqpr7t69m+3bt+Pi4kLHjh3Jly+fybbLly9n3759Rtty5crFZ599ZvbxoqKiuH37NpkzZzYskCyEEEIIIYQQyUXTNJ4/f07u3LljTf+yNKsGeVFRUXTv3p3NmzfTs2dPdDodrVq14o8//qBEiRJxPmbbtm0cPHiQHj16GLZ5eHgk6ri3b98mb968b9J1IYQQQgghhEi0mzdv4u3tnazHsGqQN336dFatWsXJkycpVKgQAMOGDTMsV2BK4cKFGTJkSJKPmzlzZkC9wG5uboSHh7NlyxYaNWqEvb19kvcr0j45F0R0cj6ImOScEKbIuSGik/NBxBQeHs7q1avp3bu3IRZJTlYN8n7++We6dOliCPAAMmXKlGDFyStXrvD555+TJUsWfH19qVGjRqKOq0/RdHNzMwR5Li4uuLm5yR9iBifngohOzgcRk5wTwhQ5N0R0cj6ImPTnBJAi08WsFuQ9e/aMixcvMmrUKFasWME///xD7ty5ad++Pblz5zb5OJ1OR7Zs2XBycuLq1auMGzeO3r17M336dJOPCQ0NJTQ01OjYoF5s/UV/W2Rsci6I6OR8EDHJOSFMkXNDRCfng4gppc8Fqy2hcOvWLfLmzUvp0qXJly8fNWvW5NChQ2zfvh1/f3+qVasW5+Nu3LhB/vz5Dbd37NhB/fr18ff3p0GDBnE+Zty4cYwfPz7W9iVLlhgiaiGEEEIIIYRILsHBwXTu3JmnT5/i5uaWrMeyWpD39OlT3N3dqV+/Ptu2bTNsb968OSEhIUbbEpIvXz569erFuHHj4rw/rpG8vHnzEhQUZEjX9Pf3p2HDhjKknsHJuSCik/NBxCTnhDBFzg0RnZwPIqbw8HDWrFmTYkGe1dI1s2TJQp48eahUqZLR9kqVKvHbb78lal9hYWHxDoE6Ojri6OgYa7u9vb3RH17021FRUYSFhSWqHyLti4yMxM7OjsjIyGQvbZtR2NvbY2tra+1uvJGY/yuEkHNCmCLnhohOzgdhLVYtvNKpUyd27NhBZGQktra2REVFsX37dsqVK2dos2zZMq5fv85nn31GREQE+/bto06dOob7lyxZwr1792jUqJHF+hUWFsa1a9eIioqy2D5F2qBpGl5eXty8eVPWULQgd3d3vLy85DUVQgghhEgBVg3yxowZw+7du6lQoQLVqlXjyJEjPH36lF9//dXQxt/fn4MHD/LZZ5+h0+mYNGkSI0eOpFSpUgQEBLB7926++uoro8DvTWiaxp07d7C1tSVv3rwympPBREVF8eLFCzJlyiS/ewvQNI3g4GDu378PQK5cuazcIyGEEEKI9M+qQZ6bmxv79u3D39+fGzdu0KZNG/z8/IxSKzt27EjdunUBsLW1ZfPmzRw7dozjx4/TtGlT5s2bZ9HFBCMiIggODiZ37txSlCUD0qfpOjk5SZBnIc7OzgDcv3+fHDlypPnUTSGEEEKkUgEBEBRk+n4PD8iXL+X6Y0VWDfIA7OzsaNq0qcn746qYWbFiRSpWrJgs/YmMjATAwcEhWfYvREak/8IkPDxcgjwhhBBCWF5AABQrBiEhpts4OcGFCxki0JOhChNk7pAQliN/T0IIIYRIVkFB8Qd4oO6Pb6QvHZEgT4g3FBAQwJ07d0zeFkIIIYQQIiVZPV1TWEZgYCCPHz+Otd3JyYnChQunWD8CAgJwcHDAy8vLrPaPHz/mwYMHeHp6kjVrVpPtXr58yb1798ibN2+sUsT65+7j40OmTJkM24ODg7l69SrFixfHzu71qa5pGmfOnCFbtmzkzp071rFu375NQEAANjY22Nvb4+3tjaurq8m+DRo0CG9vb2bMmBHnbSGEEEIIIVKSjOQlk8hI2LkT/vhD/fxvql+yGTVqFFWrVqVjx45Gl08++SR5DxxD//79+frrrxNsd+TIEWrVqkXevHlp0aIFefPmpUaNGhw5csSo3bVr12jUqBEeHh40bNiQ7Nmz06FDBy5dumRoM2rUKMqUKcPw4cONHnvs2DHKlClDUIxh+e3bt1OmTJk453sCTJgwgerVq9OxY0datWpFtmzZaN68Offu3TPrNcifP3+cwaMQQgghhBApQYK8ZLByJfj4QL160Lmz+unjo7YnpypVqnD69Gmjy6pVqwB48eIFp0+fJiRGrvKlS5cIDAwE1AiW/nEJpRu+fPmSK1euEBERYdgWGBjI8+fPefjwoWE/cS0o/88//1C7dm0qVqzI/fv3uXjxIkFBQdSsWZPatWtz9OhRQ9uOHTtiY2PD3bt3uXLlCo8ePeLdd9+NFQxmz56defPmceHChQRfp7lz59KyZUuuXLnC/v3742yjfy0vXLjAlStXOH36NIMGDUpw3wDDhg2jZ8+ehtvXr183BIhBQUHxBovPnz/n8uXLcb5uQgghhBBCmEOCPAtbuRLefhtu3TLeHhiotid3oGeKnZ0dHTp0oH///oZtmzZtomTJkgQEBAAwb948wwhguXLlyJ8/Pzt37jTaT3BwMO+//z7ZsmWjXr16eHl5sWDBAgBmzZrF8ePH2bhxo2E/+gAyuiFDhlC8eHGmTZtmqLro5OTEt99+S9myZRk8eDAAISEhHDlyhK5du5IlSxbD82jfvj2dO3c22mflypWpV68eI0eOjPd1ePToEatWrWLkyJG0adOGefPmJfjaeXt706FDB3bv3p1gW1DpmhMnTjTc7t27N3379qVixYpUqlSJggUL4ufnx8uXLw1tXr16Ra9evciVKxeNGjUia9asDBkyxFDtVQghhBBCCHNJkJcATYOXL827PHsGgwapx8S1H4DBg1U7c/YX137i8/Lly1gjebdv3wZUEPXHH3+wZMkSli9fzoMHD+jRowejR4+mevXqgFqcXv+4+/fvM2TIEDp37syrV68Mx+jfvz979uzhzJkzBAQEcPXqVcNcwAkTJlC7dm26du1q2E+BAgWM+vjw4UP27dtHz54946y4+P7777N//37u37+Pk5MT3t7eLFq0yBCIxmfKlCmsWbOGAwcOmGyzePFiihQpQvXq1enbty/Lli3j+fPnCe774cOHZM6cOcF2pvj7+zN79mxu3LjB9evXuXDhArNnzzbcP2jQIG7evGl4TS9dusTGjRuZNm1ako8phBBCCCEyJgnyEhAcDJkymXfJkkWN2JmiaWqEL0sW8/YXHJy4vp49ezbWnLw5c+YY7i9btixff/01ffv2pUOHDhQqVIjRo0fH6KPG/fv3OXv2LPXr1zdcB1Uk5bfffmPixImGYi5ubm4MHTrU7D4GBASgaRoFCxaM8379dn1Q98cff3D9+nXy589PoUKFeO+991i7dm2cj61QoQIdO3bk008/NXn8efPm0adPHwDq1atH7ty5Wbp0aax2+oD5xIkTzJw5k8WLF9O9e3ezn2dM7du356233gLA09OThg0bcuLECQCePn3KwoUL6dGjB/fv3+fcuXM8efKE5s2bs3r16iQfUwghhBAiw/DwUOvgxcfJSbXLAKS6ZjpSpUqVWOmVMQ0ePJiFCxeya9cuLly4YLQw9ebNm+nfvz8PHz4kZ86c2Nvbo2kagYGBVKpUicuXLxMVFUWFChWS3Ef9IvPBJiJYfQqjvl3NmjW5dOkS//77L/v372fTpk20adOGIUOG8MMPP8R6/IQJEyhevDhr164lW7ZsRvcdOXKE06dPU6FCBU6fPg1Ao0aNjAI/PX3ArK+uOXv27DcK8mIWYnF1deXWfzm9ly5dIiIigq+++sqoCiioVFEhhBBCCJGAfPnUQucbNsCHH0LWrLBlC9hEG9Py8MgQC6GDBHkJcnGBFy/Ma7t7NzRrlnC7DRugdm3zjm1p+lTLzJkzs2LFCkaMGAFAZGQkHTp0YPTo0QwdOhQbGxvCw8NxdnYmKioKUCmfYDpAM0fhwoVxdnbm5MmTvPvuu7HuP3nyJI6OjhQtWtRoe9myZSlbtiz9+vXj888/59tvv2Xy5Mk4OjoatStQoAD9+vVjxIgRzJo1y+i+uXPn4unpyYcffmi0/eLFi5w+fZrSpUsbtpkTMFuKPqBdsmQJFStWTJFjCiGEEEKkO/pAD6BNG6hc2ardsSZJ10yATgeuruZdGjUCb2/1GFP7yptXtTNnf6b2k1RPnjyhW7duDBs2jIULFzJ27Fj++ecfAO7cucPTp09p06YNNv9947Fz506jwh/FixcnW7ZsrF+/3mi/4eHhhutOTk5Gt2NydHSkW7duzJo1i4cPH8bq34wZM3jvvfdwcnJC07Q4q0zmyZMHUKmlcRkzZgyBgYGGgjCgAtOlS5cyf/78WPMWGzdubFYBluRSokQJsmfPzp9//hnrPqmyKYQQQghhJk2DdevU9RYtrNsXK5ORPAuytYVp01QVTZ3OuHCKPmCbOlW1Sw76eWTGfbKlRIkSAHz44Ydkz56dL7/8EgcHB3r06EGXLl04duwYuXPnxsfHh88//5xhw4Zx9epVPv30U6PiKPb29kyZMoWBAwei0+moW7cuFy5cYPXq1Ya5YyVKlGDVqlUcPHiQTJkyUbRoUcNIld63337LP//8Q61atRg3bhxFixblypUrjB8/nnz58vHdd98BKngsVqwYPXv25K233iJ79uycPHmScePG0bVrV8PIYkweHh588sknfPHFF4Ztf/75J5qm4efnF6t9mzZt+Oyzz5gyZUqsdMmUYG9vz/fff0+fPn2wtbWlefPmPH78mA0bNuDm5sbkyZNTvE9CCCGEEGnO+fNw5Qo4OKhRlQxMgjwLa9cOVqxQVTSjL6Pg7a0CvHbtkue43t7eHD16lI4dOxptd3Fx4fDhw+zatYuzZ8+ybNkyQ9A1depUWrRowZw5c/j444/ZuHEjX3zxBf379ydXrlzMnTuXMWPG4ObmZthf7969yZ07N3PmzGHlypWUK1eO6dOnG+7/+OOPefDgAYMHD+bly5esW7cuVoVNNzc39u7dyy+//ML8+fO5f/8+np6ehqUG9MGbg4MDBw8eZM6cOUybNo2HDx+SK1cuJk+ebDQ/ztvbO1bAN3ToUDZs2MCzZ8+wt7dn//799OjRI1Z6J0CrVq2YOnUq+/bto06dOuTOnTtWYBqf/PnzkzNnTpO3CxQogJeXl9FjcufObTQfsnv37uTPn59Zs2YxcOBAcufOTYsWLXj//ffN7ocQQgghRIamzzarV09VMczAdJqpnLd07NmzZ2TJkoWnT5/i5uZGeHg4GzZsoFmzZkRGRnLt2jUKFChgcqTIHJGRsGcP3LkDuXKBr2/yjeAJy4mKiuLZs2e4ubkZ0lbFmwsJCbHI31VKi/6/wd7e3trdEamAnBPCFDk3RHRyPlhJ7drqA/j06fDRR9bujZHw8HBWrFhB586dDTFIcpKRvGRiawt161q7F0IIIYQQQmQAjx7Bvn3qesuW1u1LKiBDFUIIIYQQQoi0beNGiIqCMmUgf35r98bqJMgTQgghhBBCpG1SVdOIBHlCCCGEEEKItCs8HDZtUtclVROQIE8IIYQQQgiRlu3dC0+fgqcnvPWWtXuTKkiQJ4QQQgghhEi79KmazZpJOfv/SJAnhBBCCCGESLv06+NJqqaBBHlCCCGEEEKItOnCBbh0CeztoWFDa/cm1ZAgTwghhBBCCJE26VM169aFZF5gPC2RIE9YVLFixdi2bVuiHnP//n06depE4cKFqVKlCo8fP8bb25uzZ88mUy+NJaXPaZm3tzd79+41eVsIIYQQIs2QVM04SZBnaQEBcOyY6UtAgLV7mKwCAwN59epVoh4zfvx47t27x6ZNm1i3bh2RkZEEBgYSFhaWTL00Zk6fz58/T58+fShTpgyFCxemSZMm/PHHH7Ha3bx5k/79+1OpUiVKly5Nly5dOHDggFGbUqVKkS9fPi5evGi0fcKECbRq1SrWPn/66Se8vb2ZN29enH0rVaoU3t7eeHt7U7x4cVq2bMmOHTvifb4hISEmbwshhBBCpAmPH6vKmiDr48UgQZ4lBQRAsWJQqZLpS7Fi6T7QS6xTp05Rt25dChcujJeXF9myZePmzZuUKlXK2l0DYOvWrVSsWBFN01iwYAGbNm3i7bffZuDAgXzwwQeGdk+fPsXX15ebN28yY8YM/vrrL1q3bs2nn37K6dOnDe0CAwO5c+cOn3/+udFxnjx5wv3792Mdf+bMmWTKlImZM2fG2b/AwED69OnDwYMHWbVqFT4+PjRs2JDDhw+b9fxu3ryJr6+vWW2FEEIIIVKNjRshMhJKlYICBazdm1RFgjxLCgqChEZEQkJUOwvr1KkTY8aMYdiwYVSsWJFy5coxffr0WG3Gjh3L8OHDKVmyJO++++5/XQph7NixlC9fnpIlS9K1a1euX7+e4DHv3LlDp06dKFKkCA0aNGCdPic6moT27ePjw6FDh/j+++8No1H58uWjWrVqXLp0CYDg4GC8vb1Zvnw5HTt2pGTJktStW5edO3cm6ljm9jm6V69e0bVrV1q1asXcuXOpXLkyhQsXpnfv3ixfvpxffvmFlStXArBz505u3LjBokWLqF69OsWKFePdd99lz549lChRwmi/PXv2ZNWqVRw8eDDe4+/evZubN2+yatUqTp06xfHjx+NslyVLFry9vSlRogTTpk3D09OTZcuWxbtvvWrVqnHkyBHAsq+1EEIIIUSyklRNkyTIS4imwcuX5l3MTVN89cq8/Wma2d188OABkyZNIjw8nF9//ZVPP/2Uzz//nPnz5xu1mThxIs7OzqxcuZKZM2eiaRqtW7fm8OHDzJo1i7/++oucOXNSo0YNnj59Gs/LotGyZUsePHjA0qVLGTVqFMOGDSM4ONioTUL73rdvH6VKlaJv374cPHiQgwcPsnHjRqN0zaioKAIDAxk0aBDvvPMOq1at4q233qJVq1YE/Rcwm3Msc/oc08aNG7l37x4jRoyIdV+9evV46623DGmUjo6OAEajdnq2MdZsqVixIh06dODTTz81eWyAuXPn8u6771KiRAlatGjB3Llz420PYGNjg6urq9lps9HTNS31WgshhBBCJKvwcDWSB5KqGRctA3r69KkGaE+fPtU0TdPCwsK01atXa2FhYdqrV6+0s2fPaq9evVKNX7zQNBVupfzlxQuzn5Ofn59WqlQpo23jxo3TChUqZNTG19fXqM3WrVs1V1dX7eXLl0bbS5Qooc2ZM8fk8TZu3Kg5ODhod+/eNdoXoK1bty5R+65atar21VdfGW4/ePBAA7Tjx49rmqZpz58/1wBt9uzZhjbh4eGak5OTtn79erOPZU6fIyMjtcePH2uRkZGapmnaV199pdnY2GihoaFxvg69evXSfHx8NE3TtIiICK1Ro0aara2tVr9+fW3UqFGav7+/FhYWZvSYLFmyaLNmzdKuXLmiOTg4GI49bNgwrWrVqoZ2T5480ZydnbV9+/ZpmqZpGzZs0Nzd3bXg4OBY+/vxxx8NtxcvXqwB2ooVK+LsM6D5+/vHedtSr3VMsf6u0ojo/xuE0DQ5J4Rpcm6I6OR8SAE7d6rPyx4emhYRYe3eJCgsLExbsmSJUQySnOysFVwKy6tZs6bRbV9fX8aNG8fLly9xdXUF1AhSdPv37ycsLIySJUui/TdyqGkaDx484PLlyyaPdfLkSQoXLkzOnDkN22rVqoVOp3vjfZtSunRpw3U7OzuyZ89uGF0y51jm9DmmiIgIbG1tsbOL+0/F0dGRiIgIQI3Wbd68mW3btrFp0yZ2797NlClTKFKkCBs3biR//vxGjy1YsCB9+/ZlxIgRNG3aNNa+lyxZQoECBahRowYAjRs3JkuWLPz111907drVqO24ceP47rvveP78Ofb29kyaNIn27dubfF4JedPXWgghhBAiWemn3DRrBjEypgRIkJcQFxd48cK8tidOQK1aCbfbuxfKlzfv2Ing4OAQ5+2wsDBDkOfk5GTUJiQkhHz58sWacwWQOXNmAIYOHcqff/5p2H727FlCQ0NjHc/Ozg4bm9cZwObsOzFipjwChiDDnGOZ0+eYChQoQHh4ODdu3KBAHBN6L1++HGu7n58ffn5+AFy9epUaNWowduxYFi1aFOvxY8aMYeHChXHeN3fuXK5fv463t7dh26NHj5g7d26sIO/jjz/m/fffx9XVlaxZs5p8PuZ609daCCGEECJZ6YM8SdWMkwR5CdHp4L8AKUHOzua3M3efiXDq1Cmj2ydPniR79uzxfugvVaoU169fx8bGhty5c8fZZsyYMQwdOtRwO3PmzBQpUoQrV64QHByMy3/B6OnTp4mMjEzUvi3FnGOZ0+eYmjVrhpOTE7Nnz2bKlClG9126dInt27fzww8/mHx8wYIFqVq1Krdu3Yrzfk9PTz755BO++OILo+UTTpw4wcmTJ/n3339xi7aw58OHD6lYsSKXL1+mcOHChu36wispISV/r0IIIYQQsVy8qC52dtC4sbV7kypJ4ZV0ZNeuXSxZsgRQI0zffPMNH374YbyPadeuHQUKFKBbt27cvn0bUKNFU6ZM4dChQwBkzZrVUPnS29sbnU5HmzZtyJQpEyNHjiQiIoLnz58zfPjwRO/bUsw5ljl9jsnT05MpU6YwdepU5s6dS3h4OABnzpzh3XffpUqVKvTr1w+AzZs3M27cOAKiLZGxbds2duzYYRjZi8vQoUOJiIjg999/N2ybO3cutWrVomTJkkavfbly5ahcubLJNfNSQkr+XoUQQgghYtFX1axTB6J9GS5ekyDPkjw8IEY6ZCxOTqpdMnjnnXeYMWMG7u7uFC9enBo1asRaiy12d5zYtm0brq6u+Pj4kDVrVooVK8bTp0/jXafO2dmZ5cuXs3btWtzc3MifPz9vvfWWYYTsTfadFOYcy5w+x2XQoEH8+uuvTJ06lSxZsuDh4UGtWrXw9fXF39/fkAJatWpV7OzsqFu3Lm5ubmTOnJnOnTszcOBAPvvsM5P7d3V1ZezYsYbKlCEhISxZsoQ2bdrE2b5NmzYsWrTIMBcwpaXk71UIIYQQIhZ9qqYsnWCSTtNPtMlAnj17RpYsWXj69Clubm6Eh4ezYcMGmjVrRmRkJNeuXaNAgQKx5q+ZJSAg/nXwPDwgX76kd96EBg0aULlyZb7++mtevXpFRERErPlRQUFBODg4GKX/RRcaGsqLFy/Inj272cfVNI2HDx+SPXt2dDodt2/fJlu2bLFeu/j2/eDBA5ycnAz9jYqK4vbt2+TMmRN7e3s0TSMwMJAcOXIYzam7e/cubm5usYK0hJ5HfH2Oiori2bNnuLm5xTlX7/nz54SEhJA9e/Z45/K9+G8eZ6ZMmWLdd/v2bbJkyWKYJwkQGRnJnTt3cHR0xN3dnXv37uHp6WlYliG6kJAQgoKCyJUrF7a2tty+fRs3N7c4jxWXW7duGe07+m1Lv9bR+/xGf1dWEv1/g729vbW7I1IBOSeEKXJuiOjkfEhGT56oz9ORkXD5MhQqZO0emSU8PJwVK1bQuXNnQwySnGROnqXly5csQVxiOJuYG+iRwAiio6NjnEFFfHQ6ndF+Tc3Rim/fnp6eRrdtbGyM5pfpdLo455t5eXkl+liJ6XNcMmfObFZxkfgCrriOZ2tra/Qc45tf5+TkZHR/YufFxdx3cr7WQgghhBAWtWmTCvBKlDAZ4EVGwp49cOcO5MoFvr4ZrwCnBHlCCCGEEEKItCGBVM2VK2HwYIhe887bG6ZNg3btUqB/qYQEeenE0qVLYy0PIIQQQgghRLoREQEbN6rrcQR5K1fC229DzMlogYFq+4oVGSfQk8Ir6YSHh0ey5/YKIYQQQghhNfv3w+PHkC0bVKtmdFdkpBrBi6vaiH7bkCGqXUYgQZ4QQgghhBAi9dMvndCsmVojL5o9e4xTNGPSNLh5U7XLCCTIMyEDFh0VItnI35MQQggh3lg88/Hu3DFvF+a2S+skyIvB9r/SO2FhYVbuiRDpR3BwMICUkRZCCCFE0ly+DOfPqxG8xo1j3Z0rl3m7MbddWmf1witRUVGsWLGC7du34+LiQo8ePShbtmy8j7l06RJz587l3r17lClThn79+hmtOfYm7OzscHFx4cGDB9jb28e7FppIf6KioggLCyMkJER+9xagaRrBwcHcv38fd3d3w5coQgghhBCJok/VrF0bsmSJdbevr6qiGRgY97w8nU7d7+ubzP1MJawa5IWFhdGyZUsuX77MRx99hIuLCx988AFz5syhXLlycT7mxIkT1KpVi7Zt21KtWjXmzZvHkiVLOHDggEWqS+p0OnLlysW1a9e4cePGG+9PpC2apvHq1SucnZ3R6XTW7k664e7ubnKtPSGEEEKIBOlTNVu0iPNuW1u1TMLbb8e+T/+RburUjLNenlWDvG+//ZbDhw9z7tw5wwfAXr168fLlS5OPGTFiBL6+vvz2228AdOjQgXz58rFgwQL69u1rkX45ODhQpEgRSdnMgMLDw9m9eze1a9eW1EILsbe3lxE8IYQQQiTd06ewe7e6bmJ9PFDLIyxcCN27G2/39lYBXkZZPgGsHOT98ssvdOvWzegbfnt7e9zd3eNsHxoayrZt25gzZ45hm4eHB/Xr1+fvv/+2WJAHYGNjg5OTk8X2J9IGW1tbIiIicHJykiBPCCGEECI12LxZrZFXvDgULhxvU/2onY8PTJqk5uD5+macETw9qwV5T5484caNG1SpUoUZM2bwzz//kDt3brp06ULJkiXjfExAQAARERHky5fPaHv+/PnZtWuXyWOFhoYSGhpquP3s2TNAjdroL/rbImOTc0FEJ+eDiEnOCWGKnBsiOjkfLMt2zRpsgMhmzYhK4DVdudIWsKFTp0jefjsKgKgodbGmlD4XrBbkvXjxAoDRo0fj5+eHr68vhw4donz58qxfv55GjRrFekxISAgAmTJlMtqeKVMmw31xmTx5MuPHj4+1fcuWLbi4uBhu+/v7J+m5iPRHzgURnZwPIiY5J4Qpcm6I6OR8eHO6yEiarFuHA3Age3Yebthgsm1oqA0bNzYFbPDw2MOGDU9TrJ+pjdWCvCz/VcUpW7Ys8+fPB9R8vEePHvHll1/GGeTpH/Po0SOj7Q8fPjSZ4gkwcuRIhg4darj97Nkz8ubNS6NGjXBzcyM8PBx/f38aNmwoKXoZnJwLIjo5H0RMck4IU+TcENHJ+WA5un37sHv+HC1rVqp+/HGsRdCjW7dOR2ioHXnzanz0UU1SUw298PBw1qxZk2LHs1qQlzlzZgoUKEDx4sWNthcvXpx//vknzsfkzZsXd3d3Tp8+TbNmzQzbT506RZkyZUwey9HREUdHx1jb7e3tjf7wYt4WGZecCyI6OR9ETHJOCFPk3BDRyflgARs3AqBr2hR7Z+d4m+pXWWjTRoeDQ8Z+3a26EFj37t3ZuHEjr169AlQ65t9//021atUMbf73v//xySefAGp5g86dOzNv3jzDvLq9e/dy+PBhunbtmvJPQAghhBBCCJF89JFbPFU1QdVlWbtWXW/bNpn7lAZYNcj77LPP8PHxoWjRorRq1YpixYphY2PDDz/8YGhz+PBhNv4XwQNMnDiRrFmzUrJkSRo1akSTJk349NNP8fPzs8ZTEEIIIYQQQiSHq1fh7FlVGrNJk3ib7t8PDx9C1qwZZ8Hz+Fh1CQUnJyfWr1/P8ePHuXHjBvny5aNChQpGi1D37duXt6Otauju7s7+/fs5ePAg9+7d4+eff6ZwAqVUhRBCCCGEEGmMfgF0X1+Ip/4GwKpV6mfLlvFO28swUsVLUKFCBSpUqBDnfVWqVIm1zcbGhho1aiR3t4QQQgghhBDWYmaqpqbB6tXquqRqKlZN1xRCCCGEEEKIWJ49A/062C1axNv033/h+nVwdoY4CvRnSBLkCSGEEEIIIVKXzZshPByKFlWXeOhTNRs1gmhLYGdoEuQJIYQQQgghUhczUzXhdapmmzbJ1ps0R4I8IYQQQgghROoRGQkbNqjrCaRqXrsGJ0+CjY1Z8WCGIUGeEEIIIYQQIvU4eBCCglRFzZo1422qH8WrXRuyZ0/2nqUZEuQJIYQQQgghUg99qmbTpmBvH29TSdWMmwR5QgghhBBCiNRDvz5eAqmaDx7A3r3qugR5xiTIE0IIIYQQQqQO167BmTNga6tG8uKxfj1ERUGFCpA/fwr1L42QIE8IIYQQQgiROuhTNWvVgqxZ422qXzpBRvFikyBPCCGEEEIIkTqYmar54gVs2aKut22bzH1KgyTIE0IIIYQQQljf8+ewc6e6nsB6CFu2QGgoFCwIpUsnf9fSGgnyhBBCCCGEENa3ZQuEh0PhwlC0aLxNo6dq6nTJ37W0RoI8IYQQQgghhPXpUzVbtow3cgsPfz11T+bjxU2CPCGEEEIIIYR1RUbChg3qegKpmrt3w5Mn4OkJNWokf9fSIgnyhBBCCCGEENZ1+LBa+C5LFlVZMx76BdBbtVIrLYjYJMgTQgghhBBCWJc+VbNJE7C3N9lM014HeZKqaZoEeUIIIYQQQgjr0k+ySyBV859/4NYtcHWFBg1SoF9plAR5QgghhBBCCOu5cQNOnQIbGzWSFw/9KF7TpuDklPxdS6veKMgLCQkhJCTEUn0RQgghhBBCZDT6VM2aNSF79nibRl86QZiWqCAvIiKCP//8k3bt2uHh4YGzszPOzs54enrSvn17VqxYQURERHL1VQghhBBCCJHemJmqefEinD0LdnbQvHkK9CsNMzvI++uvvyhSpAjDhg3Dw8ODyZMns2bNGtasWcOkSZPIli0bQ4YMoUiRIqxcuTI5+yyEEEIIIYRID54/hx071PUWLeJtumaN+lmvHri7J2+30jo7cxt+/fXXzJgxg6ZNm2JjEzs27NOnD1FRUWzcuJEvvviCdu3aWbSjQgghhBBCiHRm61YIC4NChaB48XibSqqm+cwO8o4cOZJgGxsbG5o3b06zZs3eqFNCCCGEEEKIDEA/H69FC9DpTDa7cwcOHlTXW7dOgX6lcYmakxcUFGRWO108vyAhhBBCCCGEICoK/v5bXU9gPt66dWqNvLfegjx5UqBvaVyigrwcOXJQrlw5Pv74Y9auXcvTp0+Tq19CCCGEEEKI9OzIEbh/H9zcwNc33qayAHriJCrI+/PPP6lVqxabN2+mdevWZM+enbfeeovPPvuMzZs38/Lly+TqpxBCCCGEECI90adqNm4MDg4mmz17Btu2qesS5JknUUHe22+/zcyZMzl79ix3795l8eLFVKhQgdWrV9OkSROyZs1KrVq1kquvQgghhBBCiPRCH+QlkKq5caOqzVKsGJQokQL9SgeSvBh6zpw56dixI3PmzGHNmjWMGjUKJycn9u3bZ8n+CSGEEEIIIdKbgAD491+wsYGmTeNtKqmaiWd2dc3oLl26xI4dO9ixYwc7d+7k+fPn1KhRg88++4w6depYuo9CCCGEEEKI9ES/AHr16uDhYbJZaOjr2iwS5JkvUUFe165dDUFdzZo1qVOnDoMHD6Zy5crY2SUpXhRCCCGEEEJkNGamau7YodZLz5VLVdYU5klUZPb777+TL18+Ro0ahZ+fHxUqVIhzYXQhhBBCCCGEiNOLF7B9u7qeQJCnT9Vs3VpldgrzJCrIO3XqlCFNc8qUKURGRuLr60vdunWpW7euBH1CCCGEEEKI+G3dqiqpFCgQbyWVqChYs0Zdl1TNxElURFa6dGkGDhzIypUrCQoKYufOndSvX5/du3fToEEDsmXLRssEonEhhBBCCCFEBqafj9eyJeh0JpsdOgR376pl9OrVS6G+pRNJnkin0+koX748+fLlo0CBAuTNm5dff/2V9fpfmhBCCCGEEEJEFxX1Oshr0SLepvpUzebN411GT8Qh0UHe06dP2b17tyFt8+TJk+h0OsqWLUvv3r2pJ2G2EEIIIYQQIi5Hj8K9e5A5M8RTlV/TYNUqdV1SNRMvUUFe5cqVOX78OFFRUZQqVYp69eoxZswY6tatS7Zs2ZKrj0IIIYQQQoj0QD+K17hxvMNz587BpUuqSZMmKdS3dCRRQV6VKlX49NNPqVu3Ljly5EiuPgkhhBBCCCHSI/3SCWamajZooObkicRJVOGVWbNm8fz5c/r06UOrVq2YN29ecvVLCCGEEEIIkZ7cvAknTqhiK82axdtUH+RJqmbSJCrImzZtGh988AFPnjzh6dOn9OnTh2nTpiVX34QQQgghhBDpxd9/q5/Vq4Onp8lmt27BkSMqFpTC/UmTqCBv9uzZLFq0iF27drFr1y4WLFjAnDlzkqtvQgghhBBCiPTCzFRN/dp41auDl1cy9ymdSlSQd+3aNdq3b2+4/e6773Lt2jWLd0oIIYQQQgiRjrx8Cdu2qesJDM/pUzXbtk3eLqVniQryQkNDcXZ2Ntx2dnYmJCTE4p0SQgghhBBCpCPbtkFoKPj4QKlSJps9fgw7d6rrrVunSM/SpUSvkzdkyJAEt02dOtWsff3www+sXbvWaFuBAgVYsGCBRR8jhBBCCCGEsKLoqZo6nclmf/8NEREqDixSJIX6lg4lKsgrV64cO/WhdTzbzHXx4kU0TWP8+PGGba6urhZ/jBBCCCGEEMJKoqJeF12RVM0Ukagg78SJExbvgKenJ3Xr1k32xwghhBBCCCGs4NgxuHMHMmWCOnVMNnv1CjZtUtdl6YQ3Y3aQFx4ejr29vcXb/vPPPzRr1owsWbLg6+vLBx98gJ1d/N1KymOEEEIIIYQQVqBP1WzUCBwdTTbbulXVZ8mbFypWTKG+pVNmR0YlSpRgzJgxdOjQAScnpzjbBAcHs2zZMiZMmMCVK1cS3KeTkxPt2rWjTp06BAYG8vXXX7N8+XK2bduGjU3cNWGS8pjQ0FBCQ0MNt589ewaoYFR/0d8WGZucCyI6OR9ETHJOCFPk3BDRyflgzG7dOnRARLNmaPG8JitX2gI2tGoVSUREVIr1LyWk9Lmg0zRNM6fh3r17GTx4MFevXqVhw4ZUqlSJnDlzomkad+/e5ciRI2zdupWiRYsydepUatWqleA+g4ODcXFxMdy+cOECJUuW5I8//uDdd9+12GPGjRtnNIdPb8mSJUb7EkIIIYQQQliO08OHNH7/fTSdjk0LFhDm7h5nu8hI6NmzCc+eOfLll/soWzYoZTuaAoKDg+ncuTNPnz7Fzc0tWY9ldpCnt337dpYuXcq+ffu4efMmOp0Ob29vatWqRadOnd54rlyhQoXo0KEDkyZNsthj4hrJy5s3L0FBQbi5uREeHo6/vz8NGzY0O81UpE9yLojo5HwQMck5IUyRc0NEJ+fDaza//ILtgAFEVa1K5J49Jtvt2aPDz8+OrFk1bt2KIL29bOHh4axZsybFgrxET2SrX78+9evXT46+EBkZyaNHj0ymgyb1MY6OjjjGkf9rb29v9IcX87bIuORcENHJ+SBiknNCmCLnhohOzgdg40YAbFq1wiae12L9evWzRQsdLi4Z/DWzgEQthm5J4eHhTJs2jYiICACioqIYM2YMz58/p127doZ23377LT179kzUY4QQQgghhBBWFhysqqmAWh/PBE2TpRMszWolKW1tbbl16xa5c+cmf/78BAYGYm9vz19//UXp0qUN7S5cuMCRI0cS9RghhBBCCCGElW3bBiEhkC8flCljstm//8K1a+DkpApwijdntSDPxsaGb7/9lvHjx3Pu3DmyZs1K/vz5sbW1NWr3ySefGKphmvsYIYQQQgghhJXpczBbtgSdzmQz/Sheo0bg6pr83coIrL64nIuLC5UqVTJ5f7FixRL9GCGEEEIIIYQVaVr0iXbxNpVUTctL0py8+IqcJKZoihBCCCGEECIdOn4cbt9WQ3PxVN+/fh1OnAAbmwRjQZEISQryoi9HEF1YWBiJXJFBCCGEEEIIkd6sW6d+NmyoJtuZoB/F8/UFD4/k71ZGkah0zYULF8Z5HVSly0OHDlG0aFFL9EsIIYQQQgiRVumDvJYt420mqZrJI1FB3ujRo+O8DmodEB8fH2bPnm2ZngkhhBBCCCHSntu34Z9/1PXmzU02CwoC/frorVunQL8ykEQFebdu3QKgfPnynDhxIjn6I4QQQgghhEjL/v5b/XzrLciZ02SzdesgKgrKlwcfnxTpWYaRpDl5deOZPCmEEEIIIYTIwBKZqtmmTbL2JkNKUpA3Z84cwsLCLN0XIYQQQgghRFr26hVs3aquxxPkvXwJW7ao6zIfz/KSFORVrVqV7du3W7ovQgghhBBCiLRs+3YV6OXNC2XLmmy2ZQuEhECBAlCmTAr2L4NI0mLodevWpWPHjvTr14+SJUvi4OBgdH/Hjh0t0jkhhBBCCCFEGqJP1WzRAnQ6k81WrVI/27SJt5lIoiQFeTNmzMDOzo65c+fGeb8EeeaLjFRVhe7cgVy51BohtrbW7pUQQgghhBCJpGmwfr26Hk+qZnj462aSqpk8khTkBQUFWbofGdLKlTB4MPxXtBQAb2+YNg3atbNev4QQQgghhEi0EycgMBBcXKBePZPN9uyBx4/V4uc1aqRc9zKSJM3JE29u5Up4+23jAA/U38Xbb6v7hRBCCCGESDP0qZoNG4KTk8lm+lTNVq0kgy25JGkkDyAkJISlS5dy7tw5NE2jZMmSdOzYEad4fqFCiYyEKQMCKK/FMSKqgQ745iMPWrfOJye+EEIIIYRIG/Q5mC1amGyiaa+XTpBUzeSTpCDv/PnzNG7cmMePH1OyZEl0Oh2zZ8/miy++YPPmzRQvXtzS/UxXDq8IYOfdYjgTYrLNqztOHF5xgeod8qVgz4QQQgghhEiCO3fgyBF1vXlzk82OHVOZbK6u4OeXQn3LgJKUrjlo0CBq1KhBYGAgBw8e5MCBAwQGBlKjRg0GDx5s6T6mO0+vBMUb4AE4E8LTKzL3UQghhBBCpAEbNqifVaqoaoIm6FM1mzQBZ+cU6FcGlaSRvL1793Lt2jUyZ85s2JY5c2Z+/PFHChYsaLHOpVceHpZtJ4QQQgghhFVFXzohHvpUzTZtkrU3GV6SRvIcHBx48eJFrO0vXrzA0dHxjTuV3lWoYNl2QgghhBBCWE1ICPj7q+vxLJ1w6RKcOQN2dvFmdAoLSFKQ17x5c9577z1Onz5t2Hbq1Cm6detGs2bNLNa59MrcYiqPHiVvP4QQQgghhHhjO3ZAcDDkyQPly5tstmaN+lm3LmTNmiI9y7CSFORNmzYNV1dXypQpg6urKy4uLpQtWxY3NzemTZtm6T5mWAMGSKAnhBBCCCFSueipmjqdyWb6+XiSqpn8kjQnz8PDgy1btnDixAnOnDmDTqejZMmSlI8ncheJd/mK+lvx91cViIQQQgghhEhVNO310gnxpGrevQsHDqjrrVunQL8yuCSvkwdQvnx5CeySkVtm2HUA2reHtWvBwcHaPRJCCCGEECKaf/+FmzdVqcz69U02W7dOxYNVqoC3dwr2L4NKUromwNatW2nevDkFCxakYMGCtGjRgu3bt1uyb+mXhweYsWj8/H6HcHGBzZvhvffUIupCCCGEEEKkGvpUzQYN4l0TQVI1U1aSgrxZs2bRrFkzsmbNyuDBgxk8eDDu7u40adKEOXPmWLqP6U++fHDhAvzzT+zL0aPQoQMABacPZfvEA9jbw7Jl8NFH6hsQIYQQQgghUgV9kBdPquazZ7Btm7ouQV7KSFK65sSJE1mwYAFdunQx2t60aVNGjBhB3759LdK5dC1fPnWJy++/qwpF69ZRdWIrVn93gBZDCjN7thoE/OqrlO2qEEIIIYQQsdy7B4cPq+vxrImwaROEhUHRolCiRAr1LYNL0kje8+fPaRlHtN6yZUuePXv2xp3K8Gxt4Y8/oFIlCAqi2YxmzP/2IQATJsDUqdbtnhBCCCGEEPz9t/pZqRLkzm2yWfRUzXiKbwoLSlKQV6lSJTZv3hxr++bNm6lcufIbd0qgymmuXw/588OlS/RY3Yavx4UA8PHH8OuvVu6fEEIIIYTI2Myoqhka+joWlFTNlJOkdE1fX1/ee+89/P39qVKlCpqmcfToUX777Tc+/fRTli5damjbsWNHi3U2w/HyUn8VNWvC3r186t2TBx//zvc/2tCrF7i7Q6tW1u6kEEIIIYTIcEJCYMsWdb1FC5PNdu6E58/Vx9qqVVOmayKJQd7MmTNxdXVl5cqVrFy50rDd1dWVmTNnGrWVIO8NlSoFK1dC48boli7l2xEFCOo+iUWL4N13VeXNOnWs3UkhhBBCCJGh7NwJL1+qNM2KFU02W71a/WzdGmySXNdfJFaSgrygoCBL90PEp359mDsXevRA9/Vk5v3sw+PHH7B2rRrJ27kTKlSwdieFEEIIIUSGoU/VbNHC5ES7qChYs0Zdl1TNlJXkeDoy2qJtT548YfHixRzQL2MvLK97dxg3DgDbgf1Z/v4m6tRRJWkbN4aLF63bPSGEEEIIkUFo2uulE+JJ1Tx8GO7cATe3eNdJF8kgSUHesmXL6NatG6CCvbp16zJgwABq167Nr1IRJPmMHWtYFd2hyzusn3iSihXhwQNo1Ahu3bJ2B4UQQgghRLp36hQEBICTE/j5mWymT9Vs1gwcHFKma0JJUpA3adIkRo8eDcDevXt58uQJd+7cYfXq1Xz77bcW7aCIRqeDX36BevXgxQsydWjO5nm3KFoUbtxQI3oPH1q7k0IIIYQQIl3Tp2o2aAAuLnE20TTjpRNEykpSkHfp0iUKFiwIwPbt22nTpg0uLi74+flx5coVi3ZQxODgoAqxlCwJgYF4dG+O/1/P8PaGs2fVNyUvXli7k0IIIYQQIt0yI1Xz/Hk1ncjBAZo2TaF+CYMkBXm5c+dmz549REREsGLFCvz+G6YNCAggb968Fu2giIO7u1paIWdO+Pdf8g1/ly1/h5M9u8p9bttWrUkihBBCCCGERd2/D4cOqevxBHn6VE0/PzUnT6SsJAV5Q4cOpUWLFuTOnRtN02jcuDEAf/zxB507d7ZoB4UJPj5qqNzFBTZvpsSMAWz4W8PVFbZuha5dIVptHCGEEEIIId7chg0qF7NCBciTx2QzSdW0riQFef3792f//v3Mnj2bgwcP4vDfTEofHx+GDRtm0Q6KeFSuDEuXqkVHfvmFt3ZMYc0aNSy+YgV8+KH6GxRCCCGEEMIi9KmaLVuabHLrFhw5ospJtGqVQv0SRpK8hEKlSpVo164dbtHGX7t3706mTJks0jFhppYtYdo0dX3kSPweLOWPPwxxH59/bt3uCSGEEEKIdCI0FLZsUdfjCfLWrlU/q1cHL68U6JeIJUmLoQMcPXqU/fv38+jRo1j3jftvPTeRQj76CK5ehR9/hO7dabfNmzlzatGnD3z9NWTPDsOHW7uTQgghhBAiTdu1S1X48/KCihVNNtPPx5NUTetJUpD3448/MmzYMEqUKEHWrFlj3S9BnhV8+y1cv64SoFu3pveBAzyaUpTPPoNPPlGBXs+e1u6kEEIIIYRIs6JX1bSJOyHw8WPYsUNdlyDPepIU5H3//fesWLGCdu3aWbo/IqlsbWHxYrWG3uHD0KwZnx44QFCQJ99+C717Q9as8scmhBBCCCGSQNNer48XT6rmhg0QEQGlSkGRIinUNxFLkubkvXjxgiZNmli6L+JNubioJOgCBeDKFWjViinjXvH++xAVBR06vP5mRQghhBBCCLOdOaOyxhwd1boIJkiqZuqQpCCvatWqHDhwwNJ9EZaQM6f6CiVrVjh4EN173Zj9cxTt2kFYmKpwdPSotTsphBBCCCHSFH2qpp8fuLrG2eTVK9i4UV2XIM+6kpSuWaNGDTp06MDgwYMpXLgwOp3O6P6OHTuatZ9x48axdOlSo21FixZlrb4kjwl///03P/30E/fu3aNMmTKMHz+eggULJu5JpGfFi6uvURo2hL/+wm7UZ/z++7c0bw7bt0PTprBnj2omhBBCCCFEgvSpmvEsgL5tG7x8Cd7eUKlSCvVLxClJQd706dMBmKYv3R+DuUHe3bt3yZ8/v9F+HB0d433Mhg0baNOmDZMnT6Z69er8+OOP+Pr6cvr06TiLwGRYtWvDggXQpQt89x1OBQqwenV/6tdXI3mNGsHevZAvn7U7KoQQQgghUrUHD0CfxRdPkBc9VTPGGJBIYUkK8oKCgizWgcyZM1M8EUNK48aNo3Pnzgz/b02AKlWq4OXlxezZsxk5cqTF+pUudO4M167B6NEwcCCZ8+dn48bm+PrC+fMq0NuzBzw9rd1RIYQQQgiRam3YoAqvlC8PefPG2SQy8vX6eJKqaX1JXgzdUvbt20fFihWpV68eY8eO5cWLFybbvnjxgqNHjxoVfXFwcKBBgwbskIoicfv8c+jVy1B5xSPgGFu2qL/PCxegWTN4/tzanRRCCCGEEKmWGama+/erAb+sWVVCmbCuJC+GDhAZGcmdO3eIiIgw2u7j42PW493d3Rk6dCh16tQhMDCQsWPHsm7dOg4dOoSDg0Os9rdu3ULTNHLlymW03cvLi9OnT5s8TmhoKKGhoYbbz549AyA8PNxw0d9Ol6ZPx/bGDWy2bUNr0QKvPXvYsCEf9erZcfSojlatoli7NhInJ2t31PrS/bkgEkXOBxGTnBPCFDk3RHTp6nwIC8Nu82Z0QETTpmgmntPKlTaALc2aRQGRpIenbkkpfS4kKch7+PAh/fv3Z9WqVXF2WNM0s/YzceJEbG1tDbcrV65MwYIFWbZsGd26dYvVPjIyEiBWAOjo6Bgr0Ixu8uTJjB8/Ptb2LVu24OLiYrjt7+9vVr/TIrtevah1+TJZbtzgVf363Jg8mREjcjNmTE127rSnYcN7fPrpEWxtzfvdpXfp+VwQiSfng4hJzglhipwbIrr0cD54njxJjefPCXF3Z/O9eyp1MwZNgz/+aAC44u19lA0b7qR8R4WRJAV5w4YN48mTJ+zfv58qVapw6tQpDh8+zKhRowxz5cwRPcADyJs3Lz4+Ppw5cybO9tmzZwdizwkMCgoy3BeXkSNHMnToUMPtZ8+ekTdvXho1aoSbmxvh4eH4+/vTsGFD7O3tze5/mlOtGlqtWrgFBNB03jwarV1LuXI6WrTQOHQoF+vWtWDOnMgMPVE2w5wLwixyPoiY5JwQpsi5IaJLT+eDzdatADi0aUMzE+ma//4L9+7Z4+SkMWJEBVxdK6RkF9OE8PBw1qxZk2LHS1KQt3nzZvbt22dYtqBEiRKULl0aHx8fPv74Y4YNG5akzoSFhXH37l2yZMkS5/1eXl54e3tz8OBBWrVqZdh+4MABGjZsaHK/jo6OcVbttLe3N/rDi3k73SlYEP7+G3x9sdm+HZuBA2kwbx5Ll+po3x4WLrTB09OGb76xdketL92fCyJR5HwQMck5IUyRc0NEl+bPB01Tnx0Bm9atsTHxXP5rQqNGOtzd0/DzTUeSVHjl7t27FChQAIAsWbLw6NEjAKpVq8b58+fN2kdYWBgjR47k6dOnAISEhPDRRx8RERHBu+++a2g3ZswYo4Cub9++zJ07l0uXLgEwf/58Ll++TJ8+fZLyVDKeChXgzz/BxkYtsTBxIm3awNy56u5vv4UpU6zaQyGEEEIIkRqcO6cqtTs6QoMGJptFXzpBpA5JLryiXwC9VKlSLFmyhMGDB7Nq1Sq8vLzMery9vT0eHh4UK1YMe3t7goKCKFmyJP7+/hQqVMjQ7s6dO1y9etVwe8SIEQQEBFC6dGmyZMlCREQECxcupGzZskl9KhlPs2YwcyZ8+CGMGQM+PvTs2ZVHj2D4cBgxArJlA4mbhRBCCJGqBQRAfEt7eXjIosBvYt069bNePciUKc4m16/D8eNq/CCe4psihSUpyKtatarh+tixY2nTpg2jRo3i1atXzJkzx6x96HQ6hg0bxrBhwwgMDCRr1qxGRVD0JkyYwKtXr1532M6O//3vf3z33Xc8fPgQb2/vtD0Mbi39+sHVq2rorlcvyJuXYcPq8PAhTJ6s7s6aFd5+29odFUIIIYSIQ0AAFCsGISGm2zg5qTWjJNBLGn2Q17KlySb6aWa1asnay6lJkoK8gwcPGq43btyYy5cvc/z4cYoWLUrRokUTvb88efKYvM/UyKCbmxtubm6JPpaI5uuv1RD8ihVqfH3/fiZOLMHDh/C//0GXLuDuHu/ovBBCCCGEdQQFxR/ggbo/KEiCvKQICoIDB9T15s1NNtOnarZtm/xdEuZL0py8IUOGGN3OkycPLVq0SFKAJ6zIxgZ+/RWqV4cnT6BZM3T37/Hzz/DOOxAWpmK/w4et3VEhhBBCCJGiNm6EqCgoWxby54+zycOHsHu3ut66dQr2TSQoSUHenDlzCAsLs3RfhDU4O8PatVC4sEqqbtkS29BgfvsNGjaEly+haVM4e9baHRVCCCGEECnGjFTNdetUHFiuHPxXk1GkEkkK8qpWrcr27dst3RdhLR4eamHL7NnhyBHo0gVHu0hWroSqVeHRI2jUCG7csHZHhRBCCJHhaRqcOQO//27tnqRfYWGwebO6Hk81FUnVTL2SNCevbt26dOzYkX79+lGyZEkcHByM7u/YsaNFOidSUJEiauasn5/6ix0+nEw//sjff0Pt2mokr2FD2LsXcuSwdmeFEEIIkaHcvw9bt8KWLeDvD7dvW7tH6duePfDsmfrQ99ZbcTYJDla/DpClE1KjJAV5M2bMwM7Ojrn6xdVikCAvjapZExYtgo4dYepUKFCA7IMGsWWLuuvSJWjSBHbsABPr1QshhBBCvLmQENi3TwV0W7aoGv3ROTtD+fKvC4MIy9KnajZvrmo4xGHzZnj1Cnx81LQ9kbokKcgLim89EpG2deig5uaNGAFDhkD+/ORp3Rp/f1Ua9/hxaNUKNm1S/1+FEEIIId6Ypqm0oS1b1GXXLhVBRFe+vJo/0qiR+vb57FmoVCnhfQcHJ0uX0y1Nex3kmZmq+d/y2SIVSVKQ5+TkRIiJkrXx3SfSiE8/VWvo/e9/0KkT7NpFkSpV2LQJ6tZVVZQ6doS//gK7JJ1BQgghhMjw9CmY+tG6mCmYuXKpgK5hQ7WeU86cxvd7eKh18BL63PnRR+o4Hh6W7X96df68+hzo4KBe/zhERLyOAyVVM3VK0kf00NDQOLeHhYWhadobdUikAjodzJypFhndtEl9i3PwIBUqFGDdOmjcWBXk7N0b5s83OYovhBBCCPFaaKhKwdSP1sVMwXRygjp1Xo/WlSoV/xBRvnxqoXNTGWanTqmspJMnVTrS5s0mlwIQ0axfr37WqweZMsXZZPduePxYxc01aqRg34TZEhXkLVy4MM7rAFFRURw6dEjWyksv7Ozgzz/B11f9c2zeHPbto3btrPz5pxqaX7QIsmWD77+XYXohhBBCxJCYFMyGDVUg5uSUuGPky2d6ofOKFVWZ8EaNVDBYo4YK9EqXTtLTyTASkarZsqVkdaVWifq1jB49Os7rAPb29vj4+DB79mzL9ExYX+bM8Pff6h/kuXPQrh1s3kzLlg4sWADvvQc//qhWXhg1ytqdFUIIIYTVPXjwugpmXCmYXl6vR+riSsG0tOLFYf9+VTnuzBn15fW6dSqgFLE9fKhGW8FkkKdpsnRCWpCoIO/WrVsAlC9fnhMnTiRHf0RqkyePWkOvVi3YuVPlaC5aRLduOh49UlkQo0erQK9fP2t3VgghhBApytIpmMnB21stCdCypeprw4YqWymeRb4zrE2b1OrmpUursplxOH4cbt4EFxcVp4vUKUkDrBLgZTBly8Ly5Spl87ffoEABGD+ewYPVFz5ffQX9+0PWrKo4pxBCCCHSKX0Kpr5Yys6dsVMwy5V7HdQlJQUzOWTNqvrboYOac9a2rSow16uXtXuWuuhTNeMJgFetUj+bNJFK66mZZNEK8zRuDLNmwQcfwJdfqkCvRw/Gj1eB3s8/Q7du4O6umgohhBAinUhtKZhJ5eKiIpQPPoAFC+D991WFz88+k+ICAOHhaiQP4g3yJFUzbZAgT5ivTx+4dg0mT1bX8+ZF5+fH9Onw6BEsXaqm7W3dCtWrW7uzQgghhEiS6CmY/v5w7Jjx/dFTMBs2VKl9aSVIsrODefNUIPr11zByJNy7p6rIZfRy4Xv3wtOnqmTmW2/F2eTyZTh9GmxtVYKXSL0kyBOJM2GCWiz9jz9URLdvHzalS7NoETx5or4Aat5cldaV4lVCCCFEGqBpqsBa9CqYMRcQT40pmEml06kvrHPmhI8/hqlT1YjeggVqbbiMSp+q2by5iuLioB/Fq1tXZcCK1EsWQxeJY2Oj/gneuqUmMTdvDgcP4pArFytWqP/9+/ern/v2qaxOIYQQQqQy0VMw/f0hMND4/rSSgvkmhgwBT0/o0QOWLFHr7f31l8m14dI1TTNrPp6kaqYdshi6SDxHR5XTXqMGXLyoSuzu2oVrpkysXw+1a6uh/IYN1ci/l5e1OyyEEEKkIwEBphcAB5VuF3PtuNBQ9S2sfrQurhTM2rVfB3ZpKQUTiIxU3z3fuQO5cqmVEkwMRhnr0kW9Xu3bq9elfn21fJSnZ7L3OVW5eFHlYtrbqw9wcbh3T51CAK1apWDfRJLIYugiabJnV0srVKum3ig6dYJVq8ia1Y4tW6BmTbhyRVVe2rlTFWQRQgghxBsKCIBixSC+rCknJzh/Hl6+zBApmCtXwuDBKslIz9sbpk1TM0sS1LgxbN8OzZrBkSPqtdiyBfLnT7Y+pzr6Uby6dcHNLc4ma9eqAb/KlSFv3pTrmkgaWQxdJF2hQuovvn59VY548GCYMYNcuXT4+6v/kSdPqlH/zZtVUSshhBBCvIGgoPgDPFD3V6miUjKj8/JSozT6FMx0kGqzciW8/bYKPqILDFTbV6wwM9B76y01z6RRIzWqVaOGKjRQpkyy9DvVWb9e/TQjVbNNm2TvjbAAWQxdvJnq1WHxYnjnHbWOQqFCMHQohQqpwK52bZWy+e67KsPT3t7aHRZCCCEygAcP0nwKZkIiI9X3y3HNFNI09VSHDIHWrc1M3SxWTOUjNmmi5p3Urq1GuGrVsnTXU5fHj9WHNVBTcOLw/LmawgkyHy+tSFKtWAnwhJH27eG779T14cPVpGXUGup//60Wyvz7b+jZE6KirNhPIYQQIqOYOVOtb7R5Mwwbpkak0lGAB2oOXvQUzZg0DW7eVO3MliePKhFes6YqG96wocpaSs82blQRc6lSJivmbdoEYWFQpAiUKJHC/RNJ8kYLgkRGRnLr1i2uX79udBEZ0Mcfw4AB6j9q165w8CCg/keuWKGWpfn9d/WNmtTmEUIIIZJZtWrqW9Z05tEjVRJgzBj46CPzHnPnTiIPkjWrqjjasqVKfW3bVq2tl17pUzVNjOKBysYClaqZzr4rSLeSVF3z4cOH9O/fn1WrVhEeHh7rfqmwmQHpdGqdmRs31D+LVq3gwAEoVIhmzWDRIhX7TZ+uiliNHWvtDgshhBBpzMOH8OWX1u5FiomMhDNn1PfGBw6oy4ULid9PrlxJOLizs5rw17cvzJ8PvXurtfRGjEhfUU54uBrJA5Pz8cLCVEYWSKpmWpKkkbxhw4bx5MkT9v9XR/XUqVPMmzcPLy8vvtOn7YmMx85OLZJesaKaC9CsmfrKDejcWQV4AF98ATNmWLGfQgghRFoSFaXWqC1WDNassXZvkk30UboGDdSAWrlyKs5auPB1gFe0KHTvrkoB5MwZf8yVN69aTiFJ7Oxg7lwYOVLd/vxzlbmUnuae7Nun0lKzZ1ejv3HYuROePVOvddWqKdo78QaSNJK3efNm9u3bR8GCBQEoUaIEpUuXxsfHh48//phhw4ZZtJMiDcmUSY3kVa2qqlO1aaPKEDs5MWCA+hLyiy9g4EDIlk0Ff0IIIYQw4fRp+PDD14UxChVSaxSlcZGRcPbs6xE6U6N0mTKpwpfVq6tLtWoqHtHLmVNV0dTp4p4O0qaNmUVXTNHpYNIkdaAhQ9S6DPfvq6jTweENdpxK6FM1mzUz+ULpUzVbtwabN5roJVJSkoK8u3fvUuC/iZlZsmTh0aNHeHp6Uq1aNc6fP2/RDoo0KFcu9VVczZpqtnPPnmpCno0NY8ao6s/Tp6tv4dzd1fI0SVrAVAghhEivXr6E8ePhxx8hIgJcXWHcOJUvV7p0wuvkeXikWFfN8eiRcdrl4cOqYmNMRYu+DuaqV1dPNb7PBO3aqbn/MdfJy5QJXrxQ9Wdq1oQOHd7wCQwerBZI795dZS0FBalCc5kzv+GOrUy/Pp6JVM2oqNeDx7J0QtqSpCAPQPff2HipUqVYsmQJgwcPZtWqVXilgzVXhAWULq1y2Zs0gaVLoWBBmDjRMHXv0SMV97VtC1myGC/lk6gFTIUQQoj0Zs0alfJy86a63batemPUr0B94YIKMkzx8IB8+ZK/nyZYapTOXO3aqVGm6F8Y16wJ/furbMsuXdQSTm/8uaJzZ/XatmunCrPUr6++1Pb0fMMdW8nFi+piZ6e+cY/DkSPqNc2cWT1dkXYkKcirGi0hd+zYsbRp04ZRo0bx6tUr5syZY7HOiTTOzw9++UWN5E2apMry9u6NjY2aWnDuHBw7Fnut1kQvYCqEEEKkB9evw6BBr0dXfHxU6kvMqof58lk1iItJP0qnH6k7dCjuUboiRV4HdOaM0iWGrS3UrWu8bc4cVTTk11+hY0f13XM8BSTN06gRbN8OzZvD0aNqDb3Nm9XvKq3Rp2rWqQNubnE20adqNmsGjo4p1C9hEUkK8g7+Vx4foHHjxly+fJnjx49TtGhRihYtarHOiXSgRw+4dk1VA+vXT70pNWqEjQ3cuxf3Q5K0gKkQQgiRVoWFwQ8/qPfKV6/UsNPw4TB6NLi4WLt3RlJ6lO5N2NiowphhYSqpqH17teSdiUEr8731lpoj2bixGgmrUUMtJFe2rEX6nWISSNUEWL1a/ZRUzbQnyema0eXJk4c8efJYYlciPRo3TgV6v/2mhuj27mXPo7IEBpp+iH4B0x07VIUtIYQQIl3atUvlFZ49q27XqQOzZqWaFacfPVIjc/qAzhqjdG/C1laN5IWFqZG8Nm3UcgBvnHpYrJiqTNmkiSqOU7u2CpqSXMozhT158nqVeBPDm+fPqwDe3l6N5Im0JclB3qlTp/j111+5evUqf/31FwB//PEHrVu3xiWVfeskrEynU0nxN2+qOrzNmvFk5CEg4S8GGjVSWZ5FikDhwuqn/nqBAuofjxBCCJHm3L8Pn3yiIhBQ87q+/14tKmulddiSMkpXrZq6pLI6L0bs7VWtlLffVnFYy5Zq4O2N47E8eWD3brU28N696kPL0qUqDSm127RJ/cJLlFAVW+OgH8Xz8zOZzSlSsSQFef7+/rRu3ZomTZqwSp+sC5w7d44bN24wYsQIi3VQpBMODuortBo14Px5GvzYnEzs4QXxV6XSNLh6VV02bza+z9YW8uc3DgD1P3180kdlYyGEEOlMVJT64nPECHj8WAV0H3wAkyerheESITLyzapTP35sXPEyrY3SJYaDAyxfruKvzZvVyJS/v8ml4cyXNataKqpjR5UL2q6dmgzYvbtF+p1szEjV1H/El1TNtClJQd7nn3/OvHnz6NSpk6HKJkDnzp1p3ry5BHkiblmzqipU1aqR6cpJ1jq+S6PQdUTEcRrqdKrK5r59KtPz0iW4fNn4Z3BwwgFgzNE/CQCFEEJYzYkTas07fW2D8uVh9uwkrTC9cmXsZQPiq04dfZROH9jFteqVq2vsuXSpeZQuMRwdVeDSooWqndKkCWzbBpUqveGOnZ3Vcgp9+6pJgH36YHPnDpQpY5F+W1xEBGzcqK6bSNUMDFTLXOh0aWNgUsSWpCDv7NmztP7vNx49yPP29uamvtyvEHEpUEBVc6pTh3qvNrGUDkziczRen0c6AA0mjPIgb9585M2rUt2j0zS4e1cFezEDwMuX1fJC+gBwyxbjx8YMAKP/9PZO9ldACCFERvP8OYwdCz/9pEbyMmeGr76CAQNU+fpEWrlSpR7GXPw7enXqevUyzihdYjg7qwG3pk3VKGjDhmr+f7lyb7hjOzs1QuvlBZMmYTt2LKVbtFAHSm3271fDuNmyqV96HNauVT+rVVNPSaQ9SQry3NzcuH37NoULFzYK8g4fPkzu3Lkt1jmRTlWpot7o+vShPStpz8q42w1xgqYX4iwTrdOp1JRcueIPAPXBn7kBoI2NHZ6eDShb1paiRY0DwAIFZARQCCFEImiaGuEZPBhu31bb3n1XVdJMYsG6yEi1u5gBnv5woBb+joiIfX96HqVLDFdXVXylUSMVCDdooEoGlCr1hjvW6WDiRMiZEwYPptD69US9954qPJeaPkDoUzWbNTP5JYOkaqZ9SQryOnTowKBBg1i0aBEAkZGR7Ny5kz59+tC5c2eLdlCkUxUrJtwmJEQt9prItYASGwBG//nypY5791zx91e5+tHZ2JieA/imAeCbzqsQQgiRyly5Ah99pApcgCpu8fPPKrJ4A3v2GKdoxkUf4EUfpatWTY3SJWHgMF3KnFllLDZoAP/8o4qL7Nqlima+sUGDiMiaFZtevbD5809VonTlSnXQ1EC/Pp6JVM0nT9ToJkiQl5Yl6U990qRJdOrUiZw5c6JpGpkyZSIkJITWrVvzxRdfWLqPQlhMQgHgzZvhLF58CE/Paly9ahcjAFTzA69di2sEMOkBYGLnVQghhEjFQkNVEZVJk9R1BwcYOVIVWnFyeqNda9rr6XwJmTNH1XMRprm7q/fz+vXh5En1c/duk8UmE0Xr2JGDV65Q/bvv0G3dqna+YYOqompNly+ryZh2dmpSYhw2bFBfFJQsCbL8ddqVpCDPxcWFNWvWcOrUKY4ePUpUVBQVK1akQoUKlu6fyOi+/15FS25ukCWL+hnX9UyZVKT1BvQBYKlSD2nWTDNankE/Ahgz/TMxAWBcRWAubQtg4oAgPIHo//Z1t2Bie3Ce7UHTvokbyRRCCGEdHidPYvfJJ+rNAdQw0cyZb/xJ+dYtWLJEZf2dPm3eY+TDuXmyZVOZO/XqwZkzrwO9/PnffN8PKlQg0t8fu1at4OhRqFlTfUjw8XnznSeVPlWzdm31+SkOkqqZPrzRoH2ZMmUok1orB4n0YckS89tmzpxwMBjX9ei3TQy5RR8BjLmuTswAMGYgGD0AjJ4CmpcALlCMFoSYfEoh/ZyIbHQB2wIS6AkhRKp19y62Q4ZQc9kyddvLC378UU2OS+Kad8+eqel8v/2m5ovp59s5OKh0/lev4n6cvjp1WlmTOzXw9IStW9U69BcvqoBv927LFGPTKldWpcIbNVIfDGrUUCm8Zcu++c6TIoFUzZCQ14U3JchL2yQzW6RuPXqAiws8fare8Z49i309PFy1ff5cXQIDk3w4O52OZs7O2GXPbnZgqHNzI1eWLOTydMO30H/bXVxApzMZAF6+DE5ng3AOMx3gATgRwvrfgmg+Jp+11sYVQghhSmQkzJoFo0Zh8+wZmo0NUR9+iO3EiSZHSeITHq6WBFq8GNasUR+49WrXhm7dVPXM7dvVTzAuwKJ/n5g6VeZ1J5aXl3pd69RR0ynr11dz9HLlssDOixZVFS2bNIFTp9Qvc+3a2PNGktvTpyp6BZPr423bpr6czpMHKldOwb4Ji0tUkOdkZi55SEj8H1yFMNvAgfEXadE0NechruBPfz2++/TXnz6FyEh0moZ9cLBahO9N2NgYB4BubvjqA8NsbtDAjYvZX8K2hHc19gvo9z81KVx/SWJRNiGEEJZy9Cj066eqdgBRlSuzu2NHag4ahG30fP8EaBocOaJG7JYuVfXG9IoXV4Fdly7G6YPt2qllEuKazz11qsznTqo8eVSgV7u2+kLWz0+NoubIYYGd586tAqxWrVT1nEaN1C88JYfLNm9Wk+2KF1fzRuKwerX62aZNkgehRSqRqCDvu+++M7o9cOBApk+fbtEOCZEoOp2ayO7k9Gb/hTUNXr0i/OFDdq1bR90KFbALDk5a8BgVpS5PnqiLCeZOl/icyRwOrML1X32Y8asPw/EhW1FP/Bro8PNTaSVZsyb9qQshhEiEJ09g9GhVKVPT1Jd3kyYR2asXTzdvNns3V6/C77+rUbuLF19vz5kTOnWCrl3Vd5ymPmi3a6cWqZbKzJaVL9/rEb1z59S0yh07IHt2C+zc3V0FWp06qaHa9u1VhZzevS2wczPo5+OZSNWMjFTdAknVTA8SFeR99NFHRrcHDhwYa1tSjR8/nm+//ZYBAwYwZcoUk+2GDBnC3LlzjbaVLFmSw4cPW6QfIoV4eKjALL5RXyenlFvAR6dTKZb29rzMk0fl0Cfim1gDTVOjgAmNHD57RtTlK9isWZ3gLt9mBW+zwmhb8EVnrl/04frPPizFh/A8PmSv5EPhBj6UaemDS35P+QpOCCEsSdPgjz9g6FC4d09t69IFvvtO5frppw7E49Ej+PNPFdjt2/d6u4sLtG2rArsGDcxf5sDWFurWTfxTEfErWPD1iN6pU2rQbds2FaO9MWdnNQzbrx/Mmwd9+qjz6fPPk/d9OyJClc0Ek6maBw7Agwfqedapk3xdESkjVczJ27VrF4sXL8bLy4vQ0NB424aEhNCwYUN+++03wzZb+doq7cmXDy5cMM5LicnDI9Fr5FmdTqdWWXV1VakZ8bA5dgzMCPLo1UulpF6/Dtevo92+jYv2ipKcoyTnVJvA/y5rgUHwysaFF9l9sCvsQ5ZyPtgU9FHVvPQXDw8JAoUQwlwXLsCAAeqTPqjF1H7+WU3cSkBoqFp4+7ff1E99LGhjo9IBu3VToyapZQk1oRQpon7ddevCsWPQuLEqnubmZoGd29nBL7+oLwcmTlQjw/fuqVzbN6wUbtLBg+pbhqxZVfGXOOhTNVu0SNr33CJ1sXqQ9/DhQ9577z3++OMP+vfvb9ZjbG1tyZQpUzL3TCS7fPnSXhBnDQMGGM1L1IWGws2bhqDv2anrBB29TsTl62R+eJ2ckbdxjgrG+cFZeHAWDsSxTxcX46Av5kWCQCGEUCUsJ0+GKVMgLExlmIweDcOHg6OjyYdFRamRusWL1chd9Mz98uXViF2nTgl+FyisrGRJVXWzXj04fBiaNVOFMS3yEVSngwkTVH7u4MEwfTrcvw+LFsV7biWZPlWzadM4h4o1TZZOSG+sHuT16NGDHj16UMPEtwpx2bp1Kzly5CBLliz4+voyceJEclmk/JEQaYCjo5ow/d+kabf/LqD+SV8+E8rhv25yeet1Hh27jmfwdXx4fcnNbWyCg+HsWXWJizWCwICA9DeyK4RIuzZtUl+yXb2qbjdrpj6IFyxo8iG3bmVi7Fgbli5V38PpeXurzM6uXaF06eTttrCssmXVCJ6fnwrcW7ZUI7IuLhY6wMCBag2H996DZcvg4UNYudLyQ7v6IM9Equbp0+pUd3RUo5Yi7UtUkDdkyBCztk2dOtWs/U2dOpUHDx4wZswYs/uQN29eZs2aRZ06dQgMDGT48OHUqlWLkydPmhzdCw0NNUoDffbsGQDh4eGGi/62yNhS9FzIkgU7Jyd08cxL1JyciMiSxay5Hno+xWzw+Tw/fJ6fqKg6nDwJ27fb8NsOHXv26Ih8FUZebhqCvgru16iU/ToFba+T/dkNbO7dRpdAEKi5uED+/Gg+Pmj586vr+fNDgQLqZ/bsiQsCAwKwK1064dfi9OkUDfTkf4OISc6JDCAwENthw7BZuRIAzdubyO+/R9OXG4zxu79/H/7804bFi204dszPsD1zZo127TS6dInC11czFESRUyftKVMG/v5bR5MmtuzcqaN16yhWrowkvqLzifpf0b49uixZsH3nHXRbtxJVty6Ra9daqKwncOUK9ufOodnaElG/fpwn4V9/2QC2NGgQhaNjpJynySCl3zd0mhZ9hZX4lS9f3qx2J06cSLDNyZMn8fPz49ChQxQqVMiw/7p165odJAIEBQWRJ08eZs6cSW8T1YnGjRvH+PHjY21fsmQJLhb7KkaIxHN+8ACH/750iEuYmxuvPD0tdrzwcBsuXMjKv/968u+/Hly8mJWoKOP8/6L571Ov0L9U8zpLSZdLuD+5i/P9+7j8d3F+9CjB40Q4ORGcI0esy6v/foZlzmwUBGa5coW6w4YluN+d33/P0//+XwghhCXpIiMp8PfflFiyBLuQEKJsbLjaogUXOnUiwtnZqG1oqC2HDnmxc2deTpzwNPwftbWNokKF+9Ste5MqVe7i6Bhljaciksm5c9kYP746ISF2VK58l88+O4y9vdkfoxPkfvky1b78Esdnz3iROzcHvviC4Jw533i/Bdeto8y8eTwoXZr9EybE2Wbo0DpcverORx8dp0GDgDc+pohbcHAwnTt35unTp7hZZIKnaYkK8ixpxowZDBkyxGjtvVevXmFra4uDgwNPnz41u6BKkSJFaNu2Ld98802c98c1kpc3b16CgoJwc3MjPDwcf39/GjZsiL3MNM3QMtq58Pw57NmjY8cOHdu323DqlPHom52dRpUqGvXqadSvr1G1qoYjoRAQgO7GDbhxA93166+v37iB7vbtBI+ruboajwTa2WFrxnIs4YcOQYUKSX6+iZXRzgeRMDkn0ifdwYPYfvQRun//BSCqWjUiZ8xQuXr/iYyEnTt1LFliw6pVOl68eP3/skqVKDp2jMDDYxtvv11Hzo10bNcuHa1a2fLqlY5WraL444/IOIuUJPl/xcWL2DVvju7GDTQvLyLWrYNy5d6oz7ZNmmCzfTuR33xDVBwZeDduQJEi9tjYaNy8GYEFv1sW0YSHh7NmzZoUC/KsNievb9++9OjRw2hbjRo18PX1ZcqUKWYHeC9evCAwMJAc8QxpOzo64hjHJFZ7e3ujP7yYt0XGlVHOhWzZ1DpLrVur2/fvq/WAtm1Tl6tXdRw4oOPAAZg0Sc1B8PW1x8+vJH5+JSnfOI5CYCEhRoVhYl1u30b38iWcPYvO1JxAE+zt7KxS8iujnA/CfHJOpBOPHsGIEarSIah/ilOmYNOrFzb//XP7919VGXPJEoj+HVaBAmqOXdeuULSoDeHhOjZsCJNzI51r0ECtJdeyJaxda0PPnjb8/rvpZS8SfT6UKgX790OTJuhOncLez0/Np6tdO2kdfvZMLcIO2LZujW0cfdGvrFCrlo7cueXcTS+sFuTFddLb2Nhgb29vNLfuo48+4vDhwxw+fJjQ0FB69+7NyJEjKVasGLdv32bgwIE4OjrSuXPnlH4KQqQ7OXJAhw7qAnDt2uuAb/t2FQRu3qwuoD4P1aunJqT7+amS0zonJ3WlSJG4DxJXEHjsmCpyIIQQKUHT4NdfVZVMfcGnnj1VFU1PT27dUkvi/fabWidNL2tW9f+xa1dVhV6KEGdMDRuq2iht2qjqqQ4OsHChBReiz51bBWatWqnV7hs1gqVLk1b2cvNmtUZe0aLqEgf90glSVTN9sXp1zYSEhIQQHBwMqBG5Fi1a0LVrV86ePYuLiwu+vr4cOHCA3FKHWAiLK1AAevdWF01T1bf0Qd+uXepL8L/+UhdQFeT8/NQ3nfXrmygPHlcQaG6Qd/u20XISQgiRaGfOQP/+htENSpWCWbN4Xt6Xv/5Syx5s367+54H6AN+ihVrPrmnT5KluL9KeZs1UgPfOO+qccXBQA8IWW+bO3V0FaJ07qyisfXuYPVstnp4YCVTVfPjw9Z+CBHnpS6oK8g4cOBArTXPmzJlERb2euNyhQwc6dOhAZGSkLIIuRArS6VSFsTJlYMgQVZzr6NHXQd/+/XDrllriZ9Ei9ZgSJV6P8tWtq96z3kjbtvDBBzBqlCwwJYRInJcv4auv4Pvv1ciGiwuRo79gS6mP+fVne9asUcvi6fn6qhG7d95RI3hCxNSmjUrj7dgR5s9XXwDMnGnBEV5nZ1i+HD78EObOVe9/9+6p90BzDhIZ+ToXs0WLOJusX6+alSunvtgV6UeqCvKcY1SvAuKcSwdIgCeEldnbQ/Xq6jJ6NAQHqzWEtm1Ti8ceOwbnzqnLjBnq281KlV4HfTVrqvevRImIgJ9/Vu+mAwbAZ58hM8TTKVk3UVjS2rUwaJCqMAE8rt2aaQWn8fOP+Xnw4HWzYsXUiF3nzvKBV5jnnXcgLEydN7NmqRG9H3+04AHs7OB//wMvL7V4+pgxcPcu/PRTwsOGBw+qoTp3d/WmGwdJ1Uy/UlWQJ4RIu1xc1DyFhg3V7UePYOfO1yN9Fy7AkSPq8vXX6hvPGjVUwNestAdl7Z2wDTe9Tl6kvRO2ixepN7Z9+9S38bNnq2HFYcPkq/b0JCBAfdqOZ91EnJzUSSWBnohPQIAK7tasAeCJe35Guk5n9u6W8F+KmqcndOqkPqRXqiTz7ETidekCoaHw/vswbZp6f/vqKwseQKdTO8yRAwYPVsOFDx6oeaXx5Q+vX69+NmkSZ9Gy4ODXc+wlyEt/JMgTQiSLbNmgXTt1AZXKuX3766AvMFBV8tyxA0aTj3xcIDtxj9zoAHsPD/a1z4ftO+/Ali1q+PDoUZg4Ub3hDR+uPsxlzpxyT1Ikj6Cg+AM8UPcHBUmQl0FFRqp6FHfuQK5cKrXSKMEnPBx+/BFt/Hh0wcFE6Oz4VhvOhCejCX7iirOz+lDbtav6YkqKYYo31auXGtH78EP45huws7PhrbcsfJCBA1Wg162bmhD48CGsWmX6fS+B+XhbtqgU5fz533iVBpEKSZAnhEgR3t7w3nvqomlw8eLrgG/zZgh4mY8A4vnAfkd9qKtbVweNG6tqY2vWqNSV06dV0Dd1qiqH3r9/EnJBhRCpXkAA2/8M4ttv4d7915tz5oBPPoH673oQdukGIT0/xO3mGXTALmrzoTaL87qS+PmpwK5tW0jmJapEBtSvnwr0Bg+GSZNs6dKlKM2aWfggHTpA9uzqJN62TU1437hRBX/RXbumigzZ2qqRvDjoUzXbtpUR7PRIgjwhRIrT6VQ2XrFiKh77/Xf1wSshd+7E2EmbNqrE9LJl8MUXcOmSGtH7/nsV9PXurSZICCHSvoAAIgsXo354CPVj3ncf+AQiP7HFgUgcgAd4MIzvOVmmG73e09GpE+TJk/LdFhnLoEEqdfPTT+H330tQpkwkn31m4YM0aKDSYJo1UxPga9ZUw3LRJ5LqUzVr1lSpNTFERLwe6JNUzfTJUoVehRAiycz94PXHH2oalhEbGzWh5uxZVZAlf34VDQ4YoNYEmj9fvZuJtOPxY2v3QKRCkfeC4p23C2BLJACLXT5gxkcXGH7yPU7+q2P4cAnwRMr55BMYN06diyNG2PLTT8lwkMqV1fx0Hx+4fBmqVlVr6R07pi6//67aVaigbgcEGD18zx41dz57dpM1WUQaJ0GeEMLqfH1VOmdC6SLr1kHx4mrwbteu1+tYAaoCWc+eKg905kw1UefGDTUTvmRJFSFGW45FpDJRUaosa4cOJlOLRMZ2/Lh57TZ2WEinZ3MYPz0bZcsmb5+EMOXzz6N45x31reTgwTBnTjIcpEgRtX5R8eKqEEunTqp6UKVKcOiQajNtmrpdrJhRoKdP1WzVSr19ivRHgjwhhNXZ2qr3IYgd6Ol0rwuLtW6trq9bp6YhVKmiYrfw8GgPcHBQOaBXrsB336lS+5cuqZro5cqpdzaj6FBY1d27MHmy+rDSsKEqJmDuyOvvv8vvMgOJb0WN6HRlyyCrLInUoHPn8wwdqkb0+vWDBQuS4SC5cqlK0wnRF6tC/duUpRPSPwnyhBCpQrt2sGJF7JQqb2+1ffRo9aZ0/ryqXubsDP/8o2K3QoVUPPf0abQHOjurpRWuXlVrC2XJogq0tG0Lb70FmzZJgGAtkZGqUEC7dpA3L3z+ufo9ubmpAH3JEvP288MP6hPKo0fJ2l2ROnh4WLadEMlNp4PJk6MYNEjdfv/911mUFpXIqtLHj6tBPf3SRyJ9kiBPCJFqtGsH16+r+eRLlqif1669XoYB1DS7n39Wb1BffqkKit28qeZA5M2r4jqjqQeZM8OoUWpHo0aBq6taeqFpU6hdW+V9ipQRGKiGZAsWVAUDVq1So3bVq6uvuG/fVqm2NWuqdfDiY2en6t6vXavmnBw4kDLPQVhN8DPzRngrVEjmjgiRCDqdKvzct6/6XvG992D5cuv2ST+K16SJFKJOzyTIE0KkKra2KhWzUyf101TalYeHWj3hxg2YO1dNu3v+XA3uFCyoHn/0aLQHZM2qRvSuXVORoJMT7N2rDtKw4ev5C8Ky9CXcWrVSa9qNHaui8KxZ1USVU6fUnJIePVQADqrdhQtqqNbU5coV9TsrXFjtz9dXLU4l8y7Tpd/HXiDrJ73MaiupmiK10enUl5M9e6p/UZ07qxWArEVSNTMGCfKEEGmak5NKgTl9GjZsAD8/lQ24dKmas1enjhrsMXz29/RUuZ1XrqjUQHt7VfCjWjUViJw4Yc2nk37cuKECOh8f9bquW6d+CbVrw+LFalRv6lQoXTrux+fLBxUrmr7ky6eGbP75Bzp2VL/0zz6DFi3Mn7wlUr3I8ChW1fuJdl+VpwxnrN0dIZLMxgZ++QW6dFHffb3zjnrPSmlXrqjv1mxtoXnzlD++SDkS5Akh0gWdTmVgbt2q5ht066Yy+nbvVgVbSpRQc9ODg/97QO7cKjXw4kXo1Uu9A69bpwKHd9+Fc+es+nzSpPBwlYLZtKlar+mrr1Qwlz27Gj09d06lx3bpYrkcITc3lds7Z46K+DduhPLlVX1wkaYFnw/gTO6GtN05GGdCuOHji+boGP+DnJxkUp5ItWxtYeFCFeCFh6upCP7+KdsH/ShenTpxLp8n0hEJ8oQQ6U758vDrr2p+32efgbu7iuU+/PB1xuC9e/819vGBefNUANKpk4oWly+H0qWx7dULl7t3rfY80oyrV1XxlHz51KcWfVGb+vXVkGpgoBo9LV48eY6v08EHH6j0zWLF1PHq1oWJEyV9My3SNJ78tIio0mUoG7Sdl7hwtNfP5L+6C93Fi/Gn8V64oM5DIVIpOztVfKV1a7VoeuvWKTs1XB/ktW2bcscU1iFBnhAi3cqTB77+WhVmmTZNDS49fKgGmPLnh9691RrqgKrosmQJnDypJipERWGzeDF+AwZgM2AA3LplzaeS+oSFqeUOGjZU5U0nT1bLIeTIoSLrS5dg2za17l1Coy+WUrasmojZrZsK7kaPVpUFDBG9SPXu3+dZg7a4D+5BpshnHLarzvmlJ6k870MVzJuTxitEKmdvD8uWqfpTr16ptMl9+95ghx4eCRercnIiCA/DcVq3foPjiTRBgjwhRLqXKRMMGqTijuXL1fS70FA1gFeqlHqj3bbtvxUVypRRKYdHjhDVuDE2kZHY/vKLKvAxZIgEDBcvqlKm3t4qgNu6VX34btxYrXVx86aKrAsXtk7/MmWCRYtg/nyVEurvr4Z2t2+3Tn+E+VatIqxYady2ryEMe77LPplsp/dQqYOVziUhkpGjI/z1FzRoAC9fqiz3w4eTuDNzilVduMDqY/nQNLU2et68Fn06IhWSIE8IkWHY2sLbb6tq+/v2qcxCnU5N42rQQA0E/PabGqSicmUi161jz6RJRNWuraLCadNU6c6RIzPW2mwhIWqUs25dlQ753Xfw4IFahHf0aJWuuWkTtG+vFqO3Np1OlbE7elSVXb17V/2Cx41TBVpE6vLkCXTvDu3a4fDkAScpS98KR+h5YQSFi0mpTJF+OTmpKpt16qjq0I0bw7FjSdyZGaPckqqZsUiQJ4TIkGrUUN+iXroEH32kFoU9cUKtYVSgAEyZAo8fw6OSJYn091cjQm+9pSq3fP21avTll/DsmbWfSvI5exY+/ljlvXbpoiaO2Nio3KI1a9TSBV99peY1pkYlS8KRI6qwjqbB+PEqvfTOHWv3TOht3YpWpgz8+iuR2DCJkfzQ4TCzD5Qje3Zrd06I5OfiAuvXq/ekJ0/Uv6hTpyx/nOfPVeIFyNIJGYUEeUKIDK1QIZg+XWUZTpqkBqdu34YRI6BgQTvmzi3Ntes6NRJ08KBaj6FcORXcffGFCva++Ubl26QHwcGqak2tWiqXdepUNWqZN68aCbt+XX0iadVKVRBI7VxcVF7ub7+pdfh27FC/vy1brN2zjC04GAYOhIYN0d26xWUK4cseQsZMYuEfjik2jVOI1CBTJrWcQpUq6t+tn5/lCzxv2qQSUgoXVt9/ifRPgjwhhECVkh45Uq2VvnChmpr38qWO9esLUaKEHe+8AwcP6aBlS5VP8+efqlrko0eq0Ig+WgwNtfZTSZp//1UfunPnVqlz+/ap/NY2beDvv9UL88UXaXciR9eual5K2bIq1bRJExg1Si1YJVLWoUNqqZIZMwCYSX8q2Z7kgwU1+PJLlW0rREaTJQts3qz+NB48UIHepUuW23/0VE35G8sYJMgTQohoHB1VjHPyJGzYEEGFCveIitKxYgVUrw41a8LK1TZEtntHrcC+aJEazbt3T1V3KVJErXgbHm7tp5KwFy/UKFe1amp0a8YMePpUpV9OnKjSMVetUpVpbNPB3KhixdRobN++Kn1z0iS1zINUTk0ZYWFqDmeNGnDxIndt89CIzYzKMpNVW1zp0cPaHRTCurJmVUkGZcqorPL69dX3a28qLEx9VweSqpmRSJAnhBBx0OmgQQONL744yLFj4fTsqWqK7N+v6osUKwYzZtnysv17qqrZ7Nlq7trNm2rNthIlYPHi1Fno49gx6NdPjdr17q1GVuzsVFWaLVvgyhW17l3u3NbuqeU5O6vf1dKlkDmzWjS9fHmVKyWSz+nTULWqYe3C5Q5dKBF5iks+jdi/X32YFUKo1RC2blWJIrduQb166vu2N7Fzp/r+LmdO9WcoMgYJ8oQQIgGlS6uK/DduqAy/bNlUHDRwoMpe/PwLe+606guXL6s5bDlyqAbduqn0wL/+sv6i3M+ewZw5qnZ2pUrq+vPnaoLGlCnq08Ty5WrWv03qeWuIjFQfUP74Q/20WMzcoYMKditWVIsnNm8On36aNkZg05LISPj2W3XOnThBSKbsdLRbzrthiyn6VlYOHpT5QULElCOHWtancGH1vlO/PgQGJn1/+lTNVq3SR1KGME/qeScXQohUzssLJkxQ36rOnKnegB8/VuuA588PPfo5car+YLWkwOTJKvfm7Fk1Qla5ssqX0bSU67CmqVG63r1VRZl+/VRg4+AAnTqpteMuXlTBTc6cKdcvM61cqTJH69WDzp3VTx8ftd0iChdWQ7MDB6rb334LtWurT1XizV25opbd+PRTCAvjYrEW+Lw4zbKIt2nXTtXASYWnnRCpQu7c6l90gQLqT8nPT60Gk1hRUaoYMsjSCRmNBHlCCJFIrq7Qvz+cP6+mrNWqpQaAFi1SA3eN2rqyucIItKv/FSvJnBmOH4cWLdSkvuRemPvJEzW/rnx5Nd9u3jxVzbB4cfjhB/WV8JIlKmpKpTPwV65UsXHM6XKBgWq7xQI9R0f46Sc12poli5qzV6HC609FIvE0Df73PzXPc+9etMyZmV9zHsUurOUeXgwfrgaNXVys3VEhUre8edXbRd68alZAgwaqKEtiHD2qKkZnyiRp0RmNBHlCCJFE+uKTe/aoAbN331WZjv7+qnhjWd8sLMg/jtBzV9VohrOzWondz0+92+7fb7nOaJqqiNm9u/oKeOBAVTHTyUmlje7Z83rdOw8Pyx03GURGwuDBcQ966rcNGWLh6Y7t2qlAvEoVNTzbpo16rcLCLHiQDOD2bZX62rcvvHxJRM06dCn9L+/v64WNjY6ff1YDpqkoI1iIVM3HRwV6uXPDmTMqo/7RI/Mfv2qV+tmsGbI0SQYj/2aFEMIC3noLli1TaTVDhqhvTU+fVutw+1T2YKLbFB4dvaqCLwcHlatWs6b6QHzs2OsdBQSo26YuMWfgP3yo5gGWLq2GFH/9FV69UuXZfvpJfejWr3uXSkftogsPV6N08RW81DRV32bPHgsfvEAB2LsXhg5Vt6dOVb+jq1ctfKB0aulSdR5u3AiOjjwc9QPlHm7njwM+ZMqkllf88ENrd1KItKdwYTVHL2dOVfm5cWNVSMUc0ZdOEBlLGljJVggh0g4fH/jxR5Wl+csvMG2aSjEcPRomTfKiR4+f+MR/OD6LJ6hqLhs2qEu7duoTcMuWEBJi+gBOTipP9Pp1lRL311+v1+ZzcYGOHaFPH1VCLZUEdZqm6r7cuaPmlNy9+/p6zG1BQebv986dZOisgwN8/72aS9a9u8p1qlBB/a7at0+GA6YDDx/CgAHqWw6ASpX4d/ivNBxckvv3VdHZv/9W2ZtCiKQpXlxV3axbV/1batJEFUPOnNn0Y86fVxd7e2jaNMW6KlIJCfKEECIZuLvDJ5+otMM//1Rxw4kT8PPPMGtWPlq3/h+jf/+UiuvHo/v9dzV8Zc5Es5AQVRwk+ohehQpq2YZOndS8shQSHq6WB4wZuMUVxMUXt8ZkY2NeMVJPz6T3PUEtW6pfWMeOKsX27bdVIDN5cjIeNA3asAHef1/9km1tYcwYVpX4nM7d7QkJUdNC169XgZ4Q4s2ULq0Cvfr11fTh5s3VwLmra9zt9aN49eun6FuDSCUkyBNCiGTk4ABdu0KXLipD8/vv1efi1ath9erCVK36G+O+H0mjfV9g89cK83YaEKDyQTt3VsFdpUoW62/MUbe4ArekjLqB+pDh5aUuuXLFvq7/6e4OBQuqEdD4ipF+9JEaNU22b6jz5YNdu2DMGLXMxMyZ2O3bh+sHHyTTAdOQ589h2DA1XA1QvDjar7/xw+7KfNJR/d6aNXu9HKEQwjLKl1cjeH5+KmW9VSv1RYqzc+y2+iBPFkDPmCTIE0KIFKDTqW9T69eHc+dUcPLrr6pgS9NDJfHxWc7PXX+n6eKuCe9s9Gj47DMV6JnJ1KhbXEFcYkbd7OzUPJGEArecORNXTXHaNDV4ptMZB3r625kzq2pzzZqp+Snffw+lSpm/f7PZ28PXX0OdOvDee+hOnKDOsGHoMmdW0XtGtGePSmW9dk3d/vhjIsZPZOCnzsyerTYNGKCmNNrJpwwhLK5yZdi0CRo1UkVZ2rVTAV30wiq3b6v3F4DWra3STWFl8u9XCCFSWIkSajrdhAkqfXPmTDXFbtT1Epg1KNW2LWTKhKapyffmpEsmddQtvsDNywuyZ0+eSont2sGKFSrdNXoRFm9vFTz4+anXb9o02LxZpTD17QvjxydT8dCmTeHECaI6dsR+797XFUunTo37K/T0KCREjWp+/72KtPPnh4ULeV6pLh06qLQxnU7dPWRIqpkSKkS6VL26muvatKkK+N55R/3PtLVV/5p+/VW1q1pV/c8WGY8EeUIIYSU5csC4cWpQ7rffYMME4GbCj+veHXa/SPqoW0KBm5dX6ohb2rVT30Dv2aOC1Vy5wNdXfYgBVYq/b1+1OsWqVSpg/v13VfRmwACVKmtRefIQuWULl7p3p+iKFej+9z81X+/PP1VVhPTs2DF47z1Vwx1U2dgff+TWMzea11KrdTg7q+UXJTVMiJRRuzasXauWYF23TiUc3Lpl/MXY+fNqune7dtbrp7AOCfKEEMLKnJ3V1LryUYAZJeZPnYbr0W5nyZJw4JYrF2TLlvbWJ7O1VdXkTClcWH2A2bFDLWt38qRaAWHWLPjuO1U/xaIjSnZ2nO/ShUK9emHXvTucOqVyp2bNUqN76U1EhEpXHT9eXc+RA+bOhZYtOXFCFX64fVttXr9eLTMohEg5fn7qS66WLVUxlpiePVOp7ytWSKCX0UiQJ4QQqYS5C9x26QwzP1KBW86cqWPUzdrq1YN//oGFC2HUKLh0SY0C+vnBDz9A2bKWPZ7m56eqb3btqibFvPeeijSnTzdd6i6tuXBBPa/Dh9Xtdu1g9mzw9GTDBnj3XXj5EkqWVGljPj5W7a0QGVbDhurLvocPY9+naeqLriFD1P9EfSaESP/S2He6QgiRfmUp5MErnOJt8wonarTyoHp19aFaArzXbG1VNf+LF2HECFWEYNs2tcJE375w/76FD5grlypzN368GiJdsADeeut1SmNaFRUFP/2kyvgdPqw+Pf72mxoK8PTk55/VqMHLlyqI3rdPAjwhrGnPnrgDPD1Ng5s3VTuRcUiQJ4QQqcRbb+ejrtcFKvEPFeO4VOIf6uW6wFtv57N2V1M1Nze1nN25c6oYQVSUKnRTpIiax6dfO94ibG1h7FgVTebKBWfPqpzF+fPjX/8htQoIUMMCgwerCZ8NG8Lp09C1K5FROoYNU/Mdo6KgZ0+1HIi7u7U7LUTGdueOZduJ9EGCPCGESCVsbeGzmfk4rqvICV1FjvP6ckJXkeO6inw6I5+k25ipQAFVE2X3brWU4LNnqkhLyZJqHp9FY7C6dVX6ZqNG8OqVGlLs1g1evLDgQZKRpsGiRVCmjEo/dXZWZV83bwZvb4KDVcD8ww+q+cSJMG9eMhS3EUIkmrnVM6XKZsYiQZ4QQqQi+qUD8uQx3u7tLRPnk8rXV2UdLlyoPuRcvQrt26t5fMePW/BAOXKodQQmTVIR+++/q+jy5EkLHiQZ3L+vluXo0UNFwtWrqz737w86HXfvqhh21SoV1C1ZAp9/LkskCJFa+Pqq9whTf5M6HeTNq9qJjEOCPCGESGXatVPr5u3YoT5Q79ih1p2WAC/pbGzU0hMXL6ql3pycYNcuFYO9/74F05hsbGDkSNi5U0XqFy+qharmzEmd6ZurVkHp0rBmjVr4ffJkNXGnSBFATS+sVg2OHFFrIm7bBp06WbnPQggjtrZqzVCIHejpb0+dKkVXMhoJ8oQQIhXSLx3QqZP6KW/OlpEp0//bu/OwqMq+D+DfGXZTBETFhcUtUAFBUXGBcAGXXBLcxRRxyUxNS+UxM5EeJatXUXncAMMy1FAkfQHJJUEWlyKJ6An3QCoUDFCUbc77x8nzMgwaKTAwfj/X1SXnPr855z50M8yPewPWrxcXjpw2Tcy7wsKAl18WO+AePqyjGw0eDGmPgdJS4I03gKlTxZ6yxuDPP8Ws19MTuHNHHKZ58aK4Ys1fje3UKWDQIODWLTHnS0kRH4uIGh+OAqHqmOQREdELx8JC7CVNThY72u7fF7de6N4dOHiwjjrdTE3FnYo//ljcif7QIaB3b3FjcXU6eVJM6vbtE3seV60SE7xevaSQsDBg5EigsFBM7FJSpM49ImqkOAqEqmo0SZ5CocD9+/dRVlZW69eUl5fXY42IiEjTDRggJnpffCH+xfvWLbHDzcVFzHuem1wOvPuuOATS0hK4dk286fbtDT98s6QEWLJEXDEzJwfo0kVclSYwUNxvAuKqme+9Jw5hragQezu/+UYcqklEjR9HgdBjjSbJW7p0KVq0aIGVK1f+bWxAQABatWoFfX19dO/eHSdPnmyAGhIRkSaSy4EZM8QhnP7+QLNm4t5v/fqJe4Hfvl0HN3F2Fld5GT8eKCsDFi8GJk4Uh002hPPnxQ0Dt20TjxcuFIeTDhokhTx6JH4fNmwQj9esEdeO0X/61o1ERNQINYokLzo6GmfPnoWNjc3fxgYHB+Pjjz/G4cOHcf/+fUyfPh1jx47FtWvXGqCmRESkqZo1E7e8y8oSkztA3AP85ZfFeXwlJc95A2NjcaGTLVvERU6OHBETrwsXnrfqT1ZWJmZrAweKD9a+PRAXB/znP+IExb/cvQsMHw4cOCCOLA0LAwICuIImEVFTpfYkLycnB2+++Sb2798Pvb+GizzNli1b4OvrCzc3NxgYGOD9999HmzZtsHPnzgaoLRERaboOHcQt4y5cEHOjkhLggw8Aa2vgyy9lUCie4+IymbjReHIy0LmzOIFm0CBxA7q6Hr6ZkSFOOPz3v8VxmNOni2UjRiiFXbkijiBNSgJathS3xvPxqduqEBFRw1JrkldZWYnp06djxYoVsLOz+9v4/Px8XL16Fa6urkrlr7zyClJTU+urmkRE9ALq2xc4d05ciMXSUpzGNnu2Nvz8XHD+/HN2cTk5iQuwTJwoTn575x1xKGdBwfNXvLJSXOylTx9xSGarVuKiL/v3i72JVSQmiiNJr14VnzE5GRg69PmrQERE6qWtzpv7+/tDX18fS5curVX8H3/8AQBo3bq1Unnr1q1x/vz5J76utLQUpaWl0nHRX0tYl5eXS/89PqYXG9sCVcX2QIC4T/jIkUBQkBwffSRHVpYJXFyAKVMU+Pe/K2Fh8YwXbtYM2L8f8ldegfzddyE7dgyCgwMqv/gCwoABz3bN69eh5esLeVISAEAxejQqd+4EzMyAau04IkKGefO0UFYmg5OTAlFRlWjbViWMaonvF1QV2wNV19BtQW1JXnJyMoKDg5GamooHDx4AEFfYLC8vx/3799G8ylyB6hTVxsooFArInjJxYOPGjfD391cpj4+PR7NmzaTjb7755p8+BmkotgWqiu2BAMDeHti2TQ/793fH6dMWOHhQjqgoAa+9dhUTJlyBgUHls13Y3ByGGzei7yefoHl2NuRDhuBnb29cfe01cVWY2hAEWMbHw3bvXsgfPUKFvj5+9PXFr8OHq2zZIAhAZOTL2L+/OwDA2TkXy5Z9j+++e8b6kxK+X1BVbA+kLjJBaOg1nEW7d+/G8uXLlcoePnwILS0t6OrqorCwEFrV1n39888/YWxsjK+++goTJ06UymfMmIHc3FycOXOmxnvV1JNnbm6Ou3fvwtDQEOXl5fjmm2/g7u4OHR2dOnxKamrYFqgqtgeq7nGbMDX1wL/+pYfERDEJa9dOQEBAJby9hVrnZSqKi6H15puQHzwIAFCMHInK0FBxh/b8/Ce/rqICWgEBkMfFia9zcUFlSAjQqZNKaFkZsGiRFsLDxUouW1aJDRsUXGa9DvD9gqpie6DqysvLER0djenTp6OwsBCGhob1ej+19eTNnz8f8+fPVypzcHCAm5sbtmzZIpWVlpZCoVDAwMAARkZG6NmzJ06dOiUleQqFAqdPn8bcuXOfeC89Pb0aF3XR0dFR+sGrfkwvLrYFqortgarr108bZ8/KERUlboN344YMc+dqY8cOcfHMwYOf4aImJkBEhLjM5eLFkMfFQe7oKG6zUJs9ZPX0gA0bIH/7bchryDT//BPw8gJOnxY7CLdvBxYu1ALADK8u8f2CqmJ7IHVR++qaf2fRokXo27evdOzn54e9e/fi4MGD+PXXX7FkyRI8fPgQCxcuVGMtiYjoRSOTAZ6ewM8/A5s2AS1aAN99J26kPnkycOPGM1507lxxaU8bGyAvr3YJno2NOCxz+fIah3jevCmuFHr6tLhzwrFj4lZ5RESkmRpVktesWTOVHjd9fX2leXPe3t7YunUr/P394ejoiIyMDJw8eRLt27dv6OoSERFBTw9YsULcimD+fDHH+uoroHt34F//AoqLn+GidnbApUvAmDG1iw8PB3r0qPHUhQviTgo//yxuD5GYCIwe/Qx1IiKiJqNRJXnJycn46KOPlMq2b9+OC9U2ip0/fz4yMzORn5+Pb7/9Fk5OTg1ZTSIiIhVt2wK7dgFpacCwYUBpKRAYCHTrBoSGijsb/CMvvQTUsGhYjbRrnn0RFQW4uYkdgr16AampgIPDP6wHERE1OY0qySMiImrq7O2Bb74BoqOBrl2BP/4QR2A6OQHfftswdRAE4NNPxTl4Dx+KPXeJiUDHjg1zfyIiUi8meURERHVMJgPGjQN++gn4n/8BWrYU9yUfMkScx3ftWv3du6ICWLRIXBBGEIA33xQTzhYt6u+eRETUuDDJIyIiqie6usCyZcDVq2KypaUlDqHs3l2cx1dYWLf3Ky4Wk8sdO8RE89NPxVU0nzCak4iINBSTPCIionpmagoEBwOXLwMeHkB5OfDJJ+J8vZ07xd6355WTI67sGRsLGBgAhw+Li23KZM9/bSIialqY5BERETWQnj2BuDjgf/9X3PXgzh1xKwNHR3EenwpTU0Bf/+kX1dfHT3+Yon9/MYls00ac+zdhQn08ARERNQUcwEFERNSAZDJxIRR3d7EX74MPgIwMsYdvzBixh8/a+q9gCwvgl1+Au3efeL3T6aYYN8kCDx6Iw0BjYgArqwZ5FCIiaqTYk0dERKQGOjrA4sXifL2lS8V5c8ePA7a24jy+e/f+CrSwAHr3RmWv3vi2qDcifhH/rezVG/9J7Q13XzHBGzoUSE5mgkdEREzyiIiI1MrEBNiyRezNGzNGnJ+3ZYu4/cL27eL8vSNHxORtyBBg+nTxXyMjcRVNhQKYPVuci2dkpM4nISKixoJJHhERUSNgbQ0cOwacOCHO3SsoEHv6OnUS97vLyVGOv39f/HfaNCAsTFzJk4iICGCSR0RE1Kh4eIh76v3nP2Iv3+3bT48/d07szSMiInqMSR4REVEjo60trroZHv73sdnZQGJi/deJiIiaDiZ5REREjVRxce3ifvutfutBRERNC5M8IiKiRqpdu7qNIyKiFwOTPCIiokbKxQXo2FHcW68mMhlgbi7GERERPcYkj4iIqJHS0gKCgsSvqyd6j4+3bBHjiIiIHmOSR0RE1Ih5egKRkUCHDsrlHTuK5Z6e6qkXERE1XtrqrgARERE9nacnMH68uIrmb7+Jc/BcXNiDR0RENWOSR0RE1ARoaQFubuquBRERNQUcrklERERERKRBmOQRERERERFpECZ5REREREREGoRJHhERERERkQZhkkdERERERKRBmOQRERERERFpkBdyCwVBEAAARUVFAIDy8nKUlJSgqKgIOjo66qwaqRnbAlXF9kDVsU3Qk7BtUFVsD1Td4zYB/H8uUp9eyCSvuLgYAGBubq7mmhARERER0YukuLgYLVu2rNd7yISGSCUbGYVCgdzcXLRo0QIymQxFRUUwNzdHdnY2DA0N1V09UiO2BaqK7YGqY5ugJ2HboKrYHqi6x20iMzMT1tbWkMvrd9bcC9mTJ5fL0bFjR5VyQ0ND/iASALYFUsb2QNWxTdCTsG1QVWwPVF2HDh3qPcEDuPAKERERERGRRmGSR0REREREpEGY5AHQ09PDBx98AD09PXVXhdSMbYGqYnug6tgm6EnYNqgqtgeqrqHbxAu58AoREREREZGmYk8eERERERGRBmGSR0REREREpEGY5BERET2nvLw8XLx4Ud3VICIiAqAh++QJgoDjx4/j5MmTKCkpgYODA+bMmQMDAwOluLy8PAQHB+Pq1auwsrLCwoULVfbLq6sYahxCQ0MRGxuLYcOGYeHChUrnYmNjERoaiu7duyMgIEBNNaSGNHPmTDx8+BAffvghbGxslM6tXLkS169fx8KFCzFs2DA11ZAag4KCAmRmZmLAgAHQ0tKq1WtiYmKwZs0a5OTk1HPtqCGlp6cjIiICt2/fhrm5OcaPH49+/fqpu1qkJm+++Sbu3LmDzZs3K33uO3z4MBISEhAUFKTG2lF9Ky0tRUREBJKTk6GjowNXV1dMnjwZMplMKS4zMxMhISHIy8uDvb09Fi1ahJdeeukfx9y4cQN79uxBVlZWjZ9b/o5G9OS9+uqrCAkJQefOndGvXz+EhISgb9++KC4ulmLu3LkDJycnpKSkwM3NDenp6ejTpw+ys7PrPIYaj7S0NMTGxmLdunUoLy9XOhcYGIi4uDicOXNGTbWjhhYVFYXY2Fjs2rVLqfz69evYtm0bjh49ihs3bqipdtRYJCQkwMXFRel3CL14vvjiCzg5OaGkpATu7u4wNDTEsmXL4O/vr+6qkZrExMQgMjISa9euVSr/+eefceLECTXVihpCeXk5evTogYSEBDg5OaFr165Yvnw5Jk2ahKprWF68eBFOTk4oLCyEi4sLDh48CFdXV5SVlf2jmMDAQAwfPhwPHjzA4cOHcffu3X9eaUEDZGdnKx0XFBQIenp6wp49e6SylStXClZWVkJpaakgCIJQXl4u9OjRQ1iwYEGdx1DjsWjRImHQoEFC165dhSNHjkjlWVlZgoGBgTBlyhRh0KBBUnl4eLjg5eUleHl5CXPnzhV27dollJeXK13zo48+EkJCQoTo6GjB19dXWLVqVYM9Dz2fl156SZg1a5Zgamoq/QwLgiCsXr1amDp1qsr7ho+Pj+Dl5SVMmjRJWL58uZCUlKR0vdWrVwvh4eEq9/Hx8RHi4uLq70GoXkVFRQkAhHv37gmCIAi3bt0S0tPTlWLu3LkjpKamSsd79+4VOnTo0JDVpHpmbW0tLFu2TKU8JydH6Tg7O1tYu3atMGPGDMHPz0/IzMxUOr99+3YhKChIiI2NFZYsWcL3hybM0tJSGDVqlKClpSVkZGRI5QEBAYK1tbV0rFAohAMHDgg+Pj7CrFmzhPDwcKGiokI6v2HDBiE4OFjl+kuXLhUOHjxYvw9Bz6SyslLIzc1VKktISBAACGlpaVLZ0KFDhbFjx0rHeXl5Kp8tahNz8+ZNobKyUrhx44YAQEhMTPzHddaInrzqQyWNjIzQokUL3Lt3TyqLiYnBuHHjoKurCwDQ1taGp6cnYmJi6jyGGp85c+YgNDRUOg4JCYGnpyeMjIyU4hwdHTF16lRMnToVvXv3RnBwMLy8vJRikpOTsXLlSmzevBkDBw6Eh4dHQzwC1ZHBgwejVatW+PrrrwEAlZWV+Oyzz+Dr66sSO2HCBEydOhVeXl5o1qwZRo4ciSNHjkjnTUxM4O/vr/RXvLNnz2Lfvn2wtbWt/4ehBhEWFqYy3PvkyZN49dVX1VQjaghFRUWQy1U/JnXo0EH6+vLly3B0dMTdu3el3wXOzs44e/asFHPx4kWsW7cOfn5+6NGjB8zMzDB27FhERETU/0NQnXN1dcWIESPg5+f3xJi3334bixYtQs+ePeHo6IhVq1Yp/Y4xMjJCQEAAKisrpbJr164hKCgInTt3rtf607ORy+Vo166dUtnj/ONxvlFSUoJvv/0WkyZNkmJat26NIUOGSHlCbWIAwNLSssb3n39CI+bkVRcREYH8/Hy4u7tLZdevX8fs2bOV4iwsLJCdnY2Kigpoa2vXWQw1PrNmzcK6deuQm5uLNm3aYN++fdi/fz8OHTqkFGdnZwc7OzvpeNKkSWjbti0yMzPRo0cPqbxFixaIj4+Hjo5Ogz0D1R0fHx+EhoZi4sSJiImJgY6OTo3z8MaOHSt9PWXKFJiYmCAwMBCenp4AxHa1evVqnD17Fm5ubgDEhMDDw0PpgyARNT1z5sxBYGAgcnJy4O7ujgEDBij9HgCAxYsXY8GCBfjwww+lMn19fbz33ns4d+6cVPbo0SOcPHkSpqamAAADAwP4+flhypQpz/1BjhpeYGAgHBwckJCQAFdXV6VzWVlZCA4OxokTJ6TfK87OznB2dsbixYvRp08fTJ48GUuXLsXp06elz6r79++HtbU1nJycGvx56Nls27YNJiYm6Nu3LwDg1q1bUCgUsLCwUIqzsLDA+fPnax1TVzQuI0lLS8OCBQuwevVqODg4SOWlpaVo1qyZUmzz5s0BiG++zZs3r7MYanzat28Pd3d3hIeHo3v37jAwMMCQIUNUkryKigocOnQIycnJyMvLg0KhgI6ODrKyspR+ubu6ujLBa8JmzZqFDz74ADk5OQgNDYWPj4/KxGkA+O2337B3715cuXIFxcXF+P3335GVlSWdNzU1xfjx4xEWFgY3NzcUFxcjMjIS4eHhDfk4RFQPPvzwQ/Tr1w8RERHw9/dHdnY2unXrhpCQELi6uuL+/fs4d+4c5HI5pk6dCkEQIAgCbt++jYyMDKVrDRo0SErwAHGUwNq1a5GdnQ1LS8uGfjR6TnZ2dpg5cyZWrlyJ1NRUpXMpKSlo3ry50h8O+/fvD3NzcyQlJaFPnz5o1aoVRo4cif3790tJ3pdffglvb+8GfQ56dhEREdi6dSsOHTokffYvLS0FgBrzhEePHtU6pq5oVJL3448/wsPDAzNnzlT6qxoAtGzZUmn4JgDk5+dDR0dHWs2mrmKocfL19cXKlSthbW2NOXPm1Pih/vXXX8elS5cwb948DBw4ELq6uoiPj8f9+/eV4gwNDRuq2lQPzMzMMGLECAQGBiI2NhZbt25Vibl9+zYcHBzg4uKCkSNHwsjICD/88IPKL/S5c+diwoQJ2L59Ow4ePIhmzZph3LhxDfUoRFSPxo0bJ/08X7lyRfp5z87ORlFREQRBwNChQ1V6+Kr3zlWfGvD4uKCggEleExUQEICXX34ZkZGRSuX5+fkwNjZWiTcxMUF+fr50PGPGDMybNw87duzATz/9hKysLMyYMaPe603P78iRI5g9ezZ27twpjewBxBwBQI15wuOf+drE1BWNSfIyMjIwbNgweHl5ITg4WOW8vb090tPTlcrS09Nha2srfdivqxhqnMaMGYM33ngDcXFx2Llzp8r5kpISHDx4EImJiRg4cCAAoLi4WCXBI83g6+uL8ePHw8PDQ2XYBAAcP34cJiYmSnPw8vLyVOLc3d3Rpk0bHDhwAHv37oW3t7c0Z5c0g0wmU5p3CUBpFTR6MXTr1g1r1qyBh4cHbty4gW7dukFfXx/GxsaYOHHiU19bfdXe69evA0CN7z3UNJibm+Ott97Ce++9h2nTpknlVlZWyM3NxcOHD6WtvCoqKnDr1i1YWVlJcePGjcO8efNw7NgxpKSkYODAgejUqVNDPwb9Q0ePHsW0adOwbds2zJ07V+mcpaUlDA0NkZ6errReQ3p6ujQMtzYxdUUjBoJnZmZi6NCh8PLywo4dO2pMtry9vXH8+HFpqNWtW7cQGRmp1DVeVzHUOOno6CA6OhoxMTE17muora0NLS0t5ObmSmXr1q1T+XBHmmH06NGIjIyssRcPAHR1dVFYWIgHDx4AAO7evVtjrEwmw5w5c7Bx40akpqZizpw59VpvanhmZmbIyclRei+4cOGCGmtEDWH79u0qf22PjY2FgYEBOnfuDF1dXcycORObNm3CzZs3pZj8/HyV3p3vvvsOJ0+eBCAu9vTxxx9j+PDhaNWqVb0/B9Wf1atXIy8vT2mI/vDhw9GyZUt8+umnUllwcDAqKyuVFmsyMDCAp6cn9u3bhwMHDvBzZBPw9ddfY+rUqdi2bRvmz5+vcl4ul2P69OkICQlBUVERAODUqVNIS0uT/v/WJqauaERP3sSJE1FYWIi8vDyl1WpGjRolrWbk4+ODhIQE9O3bF05OTkhLS4ObmxsWL14sxddVDDVezs7OTzynq6uL999/HzNnzkRISAhycnJgYGAgda2TZtHW1lZZObWqyZMnIygoCN27d0fPnj3x3XffwdbWVvoLfFVz5syBv78/nJyclBbuIc0watQovP3221i+fDlGjRqFpKQkfP7555yXq+Hu3bsHe3t7tG3bFmZmZvjll19QXFyML7/8Uuqh2bx5M/Lz82Fra4t+/frh0aNHyM3NxYYNG5Su5ejoiPnz58PKygo5OTl48OCBlPRR02VsbAw/Pz/4+fnB2toagDidIywsDDNmzMDXX38NbW1tpKenIyQkBG3atFF6vbe3N9zd3aGrq4vJkyer4xGolu7du4dJkybByMgI8fHxiI+Pl8699dZb0uJrGzduxKhRo2BjYwNra2ucP38ea9euVVqgpzYxp06dwo4dO1BSUgIAeP/999GqVStMmzbtqZ9dqpIJGtBNERMTI30TquratavS4iuA2Ot37do1WFpawt7evsbr1VUMqd8PP/yAP//8U/rhqy4tLQ2FhYVK57OysvDLL7+gbdu2cHJyQkxMDOzt7aVhNSkpKTAwMFBpW9T4HT16FA4ODkpDZqqKioqCo6OjdL6iogIpKSkoLCyEvb099PT0kJSUpDQG/3GcmZkZAgICVJbap6bn8OHDmDhxIh48eCBNjk9JScHWrVtRXFyM/v37w9HRETt37sTx48cBiD08e/bsURreS01faWkpMjIy8Pvvv6NNmzbo1atXjcOxr1+/jszMTJiamqJXr15SEggAs2fPRkVFBXbt2oXLly+juLgYgwcP5jz+Jig2NhadO3eWEjpAXHTv+PHjMDQ0VBp+V1RUhJSUFAiCgP79+9c4T0+hUCAqKgpGRkY1rvBMjUdpaSmOHTtW47m+ffsqza0VBAEXLlxAXl4e7OzsavzM8XcxN2/exKVLl1ReZ2trCxsbm1rVWSOSPCIidYqIiMDChQvx66+/clEeDbBlyxasX78eBQUF6q4KaYDHSd4XX3yh7qoQ0QtEI4ZrEhGpw5UrV7BixQqcOnUK69evZ4LXxP3+++9ISkpCUFAQpkyZou7qEBERPTP25BERPaOCggKcOXMGXbp04fBdDRAdHY3du3dj4MCBeOedd6Cvr6/uKpEGuHTpEgRBkDZMJiJqCEzyiIiIiIiINIhGbKFAREREREREIiZ5REREREREGoRJHhERERERkQZhkkdERERERKRBmOQREZFGSUpKqnET2aaiqdefiIjUj/vkERFRk3Dx4kVcu3btqTGTJ0/G5s2bYWpqCicnpwaqWd1q6vUnIiL1Y5JHRERNQlpaGk6fPi0dHzp0CH369EGXLl2kMi8vLwwePBgtWrRQRxXrRFOvPxERqR/3ySMioiZJW1sb27dvxxtvvKFUnpSUBD09Pakn7OzZs2jZsiU6deqEtLQ0PHr0CK+88goMDAxQUFCA5ORkGBoaYuDAgdDWVv7bpyAI+P7775GdnY1OnTqhV69eT63T999/j6ysLACAiYkJevXqhbZt20rnCwoKEB8fDzc3N5iZmUnl0dHR6NixI/r06aNSfwC4cuUK/vvf/6J9+/ZwcHCAlpbWs33TiIjohcCePCIi0ijVhztu3LgRd+/eRV5eHuzt7ZGRkQG5XI41a9Zg/fr1sLW1xeXLl9G5c2ecOXMGcrk4XT0vLw+vvfYa/vjjD9ja2iI9PR2dOnVCdHT0E3vaLl++jBMnTkivv3DhAoKCguDr6wsAMDY2xmeffYZdu3bh1KlTkMvlCAsLw5IlS5CWllZj/ZcsWYLPP/8cLi4uyMvLg0wmw9GjR5WSRyIioqqY5BERkca7desW0tPT0a5dOxQWFsLCwgJr1qzB5cuX0bp1a9y5cweWlpaIi4vD6NGjAQDz5s1Dt27dkJiYCC0tLZSVlcHd3R3+/v745JNParyPj48PfHx8pOP4+Hh4enpiwoQJMDExgUwmw2effQY7Ozts2rQJXl5eWLJkCbZs2YJu3bqpXC8vLw/btm1Deno67OzsAIjDVh8+fFgP3yUiItIUTPKIiEjjjRs3Du3atQMAtGzZEj169EDv3r3RunVrAEDr1q3RpUsXZGVlYfTo0cjPz8exY8cQEBCAqKgoCIIAQRBgZWWFM2fOPPVe+fn5SE9Px507d6BQKFBWVoaffvoJLi4uAAAzMzOEhYXBy8sL4eHh8PDwwNy5c2u8lra2NrS1tZWSPEdHx7r6thARkYZikkdERBrP2NhY6VhPT6/GskePHgEQe/4EQcD58+fx448/KsU5Ozs/8T67d+/GO++8g549e6J9+/bQ1dUFIPbIVTV27Fg4Ojri4sWLiIuLe+L1TExMsGfPHqxatQorV66Em5sbZs6ciZEjR/79QxMR0QuLSR4REVE1hoaGAIB3330Xrq6utXpNeXm5NH9u0qRJAICysjJ89dVXqL7G2aFDh5Ceng4rKysEBAQgJCTkidedPXs2Zs2ahczMTBw7dgwTJkxAaGgopk+f/oxPR0REmo6boRMREVXTtWtXdO3aFTt37lQ5d/v27Rpfc+/ePZSWlsLa2loqO3LkCBQKhVJcdnY2FixYgE2bNiEyMhKff/45oqKiarxmYWEhHjx4AJlMhp49e8LPzw+urq5ITU19jqcjIiJNx548IiKiGoSGhuLVV1/F2LFjMWbMGBQWFiImJgbDhw/HmjVrVOLbtGmDAQMGwNfXFwsWLMDNmzexe/du6OjoSDEKhQKvv/46nJ2d8dZbb0Emk2H9+vWYN28enJ2dpXmDj/32228YO3YsvLy8YGNjg6ysLCQkJMDPz6/en5+IiJou9uQREVGTNGXKFHTt2lWlfPDgwejbt6907ObmprJYydChQ2Fvb69UNmLECPTo0UM6dnV1RWZmJvr374/k5GQUFBQgICCgxgTvsdjYWLz22mtITExERUUFEhMTMXPmTJibmwMAUlNT0a5dO+zduxcymQwAsGLFCnh7e+PYsWMq9bexscG5c+dgbGyMhIQEKBQKpKSkYMiQIf/kW0VERC8YboZORERERESkQdiTR0REREREpEGY5BEREREREWkQJnlEREREREQahEkeERERERGRBmGSR0REREREpEGY5BEREREREWkQJnlEREREREQahEkeERERERGRBmGSR0REREREpEGY5BEREREREWkQJnlEREREREQahEkeERERERGRBvk/Dt13qiob5+cAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 900x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(9, 4))\n",
    "\n",
    "polyline_transport.CGLORSv8.plot(\n",
    "    ax=ax,\n",
    "    marker=\"o\", c='b',\n",
    "    label=\"Exact OSNAP line\",\n",
    ")\n",
    "\n",
    "approxi_transport.CGLORSv8.plot(\n",
    "    ax=ax,\n",
    "    marker=\"s\", c='r',\n",
    "    label=\"pre-defined OSNAP line\",\n",
    ")\n",
    "\n",
    "ax.set_ylabel(\"Heat transport (PW)\")\n",
    "ax.set_title(f\"{strait}: Exact line vs. approximated line\")\n",
    "ax.grid(True)\n",
    "ax.legend()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "a366706c",
   "metadata": {},
   "outputs": [],
   "source": [
    "indices_osnap_exact=xr.open_dataset('CGLORSv8_OSNAP_exact_indices.nc')\n",
    "indices_osnap_predef=xr.open_dataset('CGLORSv8_OSNAP_indices.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "2a429299",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAArIAAAHqCAYAAAD4TK2HAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjExLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlcelbwAAAAlwSFlzAAAPYQAAD2EBqD+naQAAr6hJREFUeJzs3Xd4U9UbB/DvzWjSme5FB4Wyl+y9956C7A0igoiAIBtBBBXkB8iSJYjK3rI3AoIskVlWaUsHXelMm+T8/kgTmmY0bdOmad/P8/CU3Hty7rm5GSdv3vtejjHGQAghhBBCiJXhWXoAhBBCCCGE5AdNZAkhhBBCiFWiiSwhhBBCCLFKNJElhBBCCCFWiSayhBBCCCHEKtFElhBCCCGEWCWayBJCCCGEEKtEE1lCCCGEEGKVaCJLCCGEEEKsEk1kCSmGrl+/Do7jcPToUUsPhViQs7MzPv30U0sPw2I4jsPMmTMtPQyzK83HtXr16ujWrVu+7lvUj1tetleQ/SIFQxNZoiMyMhLTpk1D5cqVYWtrCycnJzRq1AirV69GRkaGTvvnz59jzJgxqFChAuzs7BAYGIiePXvi0KFDUCgUmnaPHz8Gx3HgOA47duzQ6Wf9+vXgOA7Xr1/XO66HDx+C4zjweDw8f/5cb5vs21C3dXFxQbt27XDq1Kl8PiKF48KFC+A4DidOnLD0UEg+icViTJkyxeJ9WLOSuv8ldb8IKW5oIku03Lp1CzVr1sT58+fx008/IS4uDq9evcLHH3+MRYsWoVWrVkhMTNS0f/ToEWrXro379+9j+/btiImJwaVLlxAcHIw+ffrg/PnzerczZ84cpKen52lsmzZtgrOzM+zs7LB582ajbWfPng3GGDIzM3H16lXI5XJ07ty52E1mDWnUqBEYY/QNv5RLSEjAmjVrLD0MYmZ0XK0DHSfrQBNZopGUlIRevXrB3d0dFy9eRJs2bWBrawtXV1eMGDECp06dwq1btzBu3DjNfVavXo2kpCTs2rULTZo0gb29PQIDA/HDDz/g8OHDsLW11dlO586dERoaiv/9738mj00mk2HHjh0YPnw4Bg8ejK1bt0Iul+d6Pz6fj6pVq+KXX36BUqnEqlWrTN4mIYQQQoo3msgSjc2bNyM8PByLFi2Cg4ODzvratWtj6NCh2L17Nx49egQAiIuLAwD4+vrqtO/atSuaNm2qs7xFixbo0aMHli5dqrl/bvbv34/Y2FhMmDABn3zyCSIjI3Hs2DGT9y0gIAC2trZ48+aNwTYZGRmYO3euVorEsGHD8OLFC612SUlJmDFjBsqXLw8bGxt4e3tj/PjxOvsilUrx5ZdfomLFihCLxShXrhymTZuGxMREbNu2Da1btwagmtirUyF+/PFHAIZzZMPCwjB8+HB4eXnBxsYGwcHBmDdvnlbKx4kTJ8BxHC5cuIC1a9eibNmyEIvFaNKkCW7fvp3rY5X9/itXrkRQUBD4fD4eP34MALhz5w569eoFNzc3iEQiVKtWDRs2bNDqY8iQIfDz80N0dDT69u0LJycnuLu7Y9y4cZBKpXrbvnv3DoMGDYKLiwvq16+vWf/zzz+jbt26mjSXzp074+7du1p9/P7772jQoAEkEgnc3d3Rrl07nD17VmffTOlLnZd5+fJl1K9fH2KxGOXLl8e2bds0bSIjI8FxHGQyGVatWqU5fp06ddK0qVy5sma5QCCAn58fxowZg+joaJP70Jejl5GRgQULFqBChQqwsbGBl5cXhg4dqvPcNmU/jCns7Ziy/2qm9m3K8dUnL/tQGMe1UqVKaNasmd6x1alTB3Xr1jXrfp45cwa1a9eGnZ0dGjVqhPv37wMATp06hTp16kAsFqN69eq4cOGCTh+mPi9SUlIwadIkeHp6wsHBAd26dUNYWJjBseV3n/RJTk7GxIkTdbatL49V/ZicO3cODRo0gEgk0rwP63v95XW/SBFghGTp2LEj4/F4TCqVGmyzd+9eBoD9+OOPjDHGVq9ezQCwadOmMZlMZrT/R48eMQBs6dKl7NGjR4zP57MpU6Zo1q9bt44BYNeuXdO5b5s2bVjbtm01t5s0acK6du1qcBuzZ8/WWh4aGsoAsC5duhgc37Rp05irqys7c+YMS0lJYeHh4ezXX39ln332maZNcnIy++CDD1i5cuXYyZMnmVQqZXfu3GF16tRhtWrVYunp6YwxxqRSKatRowbz9/dnhw4dYvHx8ezly5fshx9+YOvXr2eMMXb+/HkGgP355586Y7l27RoDwI4cOaJZFh0dzcqUKcOqVq3Kbty4wRITE9nu3buZk5MT69KlC1MqlYwxxv78808GgA0aNIgtXbqURUdHs5CQEFa/fn3m7++f63FS379Pnz7s66+/ZlFRUezkyZPs+fPn7MKFC0wkErH+/fuzJ0+esMTERLZz505mb2/Pvv76a00fgwcPZj4+PqxXr17s9OnTLDExkZ08eZJ5eXmx5s2bM4VCodO2d+/e7OTJkywuLo5t27aNMcbYp59+ymxtbdnatWtZTEwMCwsLY6NHj2b29vbswYMHjDHGTp8+zQCwlStXsri4OJaYmMjOnz/POnXqpLVfpvTFGGMAWI8ePdigQYPYs2fP2Lt379jEiRMZAHb79m2tPkUikdbzw5CUlBR2+fJlVr16dZ39N9aHRCJhEydO1FrWo0cP5ujoyHbt2sUSEhLYzZs3WY0aNZiPjw97+/ZtvvZDn6LajrH9z0vfph7fgm4nO3Md12+//ZYBYI8ePdJqd+fOHQaArV271mz72bVrVzZ06FD26tUr9vbtW9ahQwdWpkwZduHCBTZw4ED28uVLFhkZybp06cJcXFxYUlKSVh+mPi86duzIXF1d2aFDh1hiYiK7ePEi69y5M6tQoYLOe7ep+6Tv9ZCTUqlk7du3Z25ubuzIkSNMKpWyK1eusO7du+vdtvox6du3L3v69Cl7+fIlO378uMHt5WW/SNGgiSzRqFKlCnN3dzfa5ubNmwwA+/zzzxljjMnlcjZy5EjG4/GYo6Mj69SpE5s5cyY7c+YMk8vlWvfNPpFljLFx48YxGxsb9vz5c8aY4YlsSEgI4ziO7du3T7Ns586djM/nszdv3ujdhnoiq1Ao2KNHj1jr1q0Zx3GaNyh96tWrx7p37250/5csWaL3w+3p06eMx+OxTZs2McYYW7BgAQPAbty4YbCvvE5kZ8yYwTiO0/mwUn+ZUPeTfSKb3dmzZxkAdujQIaP7qL5/7969ddZVqVKF1axZU+fYLliwgInFYhYXF8cYU01OAbADBw5otfv9998ZALZ//37NMnXb7MeXMcZu3bql9XxRk8vlrHLlyqxv376MMcbmzJnDRCKRZiKvj6l9Mab6YPP19WVpaWmaZampqczJyYlNmDBB6/6mTmTVTpw4wQBoHcO8THjOnTvHALAVK1ZotXv8+DHj8Xha/eRlP3Iqqu0wlvtE1pS+83J8C7IdQwp6XCMjI5lAIGDTp0/Xavfpp58ysVjM4uPjzbafZcqU0XzhZoyx27dvMwAsODhYa//v3bvHALDt27drlpn6vFC/16jfD9XOnDmjmTiq5WWfTJnIqr/Ybt68WWv5hQsXdLatfkzc3NxYSkqKTl85t5eX/SJFh1ILiAZjzOQ2HMcBUOWgbtmyRZPzWqVKFZw6dQrt2rVDgwYN8OrVK4N9LVy4EDY2Nvjqq6+MbvPnn3+Gr68vevTooVn24YcfwtXVFVu3btV7nyVLloDjOPD5fDRq1AgAcOzYMXTu3NngdmrVqoWTJ0/i66+/xqNHj/Q+HkeOHEFwcDBq166ttbxChQoICAjAxYsXAQDHjx9HcHAwGjRoYHTf8uLs2bOoVKkSqlWrprW8X79+mvXZde3aVet29erVAUAnVcKQ7I83oKpO8ejRI/Tp0wd8Pl9rXbt27ZCeno6///5bs4zH4+n8jNezZ09wHIdz585pLec4TqetOq3iww8/1FrO5/PRqlUrzWNdq1YtyGQyDB48GFeuXNFbWcPUvtTatm0LsVisuW1ra4vy5cub/NgBwO3bt9GrVy94eXmBz+dr/bwcEhJicj/ZqY9xnz59tJZXqlQJNWrU0HkO5Hc/imo7pjCl77we3/xuByic4+rl5YWuXbvil19+0eT+y2Qy7Nq1C3379oWzs7PZ9rNNmzYQiUSa21WqVAEATUpFzuXZ99/U54X6b873kLZt2+qkrZljn7JTn2DcvXt3reUtW7aEk5OT3vu0a9cOdnZ2ufadl/0iRYcmskQjMDAQcXFxSE5ONtgmNDQUgCrnNLsyZcpgxIgRWLFiBf755x8cOnQId+/exfjx4w325e3tjS+++AK7d+/GzZs39baRy+XYvn07wsPDIRQKNflmIpEIMTEx2Lx5M5RKpc791FULGGNISEjAuXPnjE5iAWDFihX4+OOPsWbNGlStWhXe3t4YOXKk1ht5ZGQkQkJCIBAIIBAIwOfzwePxwHEcXr16hdjYWABAdHQ0ypQpY3R7eRUbGwtvb2+d5V5eXuDxeHj37p3Wch8fH63b6jfxhIQEk7aXc/yRkZEAgEWLFmn2Xb3/6vw+9f4DgKurKwQCgVYfYrEYTk5OOmP18PCAjY2N3u1VqlRJ67Hm8XhYv369Zlv9+vXD2rVrcffuXTRv3hzOzs7o1KkTzpw5k+e+1HI+doDq8TP1sXvx4gWaN28OuVyOM2fOIDk5GYwxXLlyBQCQmZlpUj85qcep73ng7e2d63MAMG0/imo7pjCl77we3/xup7COKwCMGTMGUVFRmtz/AwcOIC4uDqNHjy7U/RSLxeDz+TrLhUIhRCKR1v6b+ryIjY0Fj8eDh4eHTjsvLy+t2+bYp+zU23Z3d9dZ5+npqfc+pr5X52W/SNGhiSzR6NChA5RKpdG6psePH9e0NaZHjx6oU6cOLl++bLTd9OnT4eXlhenTp+tdf/ToUURFRSE2NlYzMVX/i46ORmhoKE6fPp3LnpnGyckJq1atQmRkJB49eoQ5c+bgxIkTaNGiBWQyGQDA3d0dH3zwAeRyOeRyORQKBZRKpWZM6sfHw8MD4eHhZhmXmqurK6KionSWR0dHQ6lU6rxxq6Pm+SUUCrVuq/tfvny5Zt9z7v+gQYM07ePi4nQqS8hkMkilUri5uRndVvbthYeHaz3W6u1l/wLzySef4OHDh3j79i22bduGxMREdOzYETdu3MhzX0DBH7u9e/ciNTUVGzduRI0aNTTVO16+fFmgfl1dXQFA7/MgKirKbM+BotqOKUzpO6/HN7/bKazjCqhO+vT19cWWLVsAAFu2bEG5cuXQqlUrTZvC3E9T9t/U54WbmxuUSiViYmJ02qlPilMzxz5lp952zi9b+ratpu/9x1jfpuwXKTo0kSUaY8aMgY+PD+bNm6c3Knvnzh3s2LED/fr10/zstGzZMr1nbCoUCkRGRmp+EjPE3t4eCxYswMWLF3HkyBGd9Zs2bUKDBg00b6DZeXh4oG7duvj5559N3EPTcByHypUrY9KkSfjyyy8RHh6uuQBD9+7d8e+//2qqNhjSrVs3hISEaP3UnpO9vT0AaCbJuWnbti0eP36ss+19+/Zp1hemSpUqoWLFiti7d69JHy5KpVKnssShQ4fAGDNprOpUgz/++MPkMXp7e6N///7YunUrlEolrl69mu++TGFvb2/0+GX/CRcAfvnllzz3kZ36cTtw4IDW8mfPnuHff/8123OgqLYD5G3/DSms42uIuY8roPopfcSIETh+/Dhu3LiBs2fPYtSoUVoTzKLez5xMfV60adMGAHTe08+dO4ekpCStZebeJ3U1mJzvPZcvX9apmJJXedkvUnRoIks0nJyccPDgQURHR6NVq1Y4f/480tLSEB8fj+3bt6NDhw6oXbs2Nm3apLnPnTt3UKNGDXz//fcICwtDeno6/vvvPwwZMgRhYWEGI63ZjRkzBpUrV9ZEM9XCwsJw8uRJveV41Dp37oxDhw6Z5dtw586dsX37drx48QIymQyPHz/Gnj174O/vj/LlywMApk6dipo1a6J79+44fPgwYmNjER8fj2vXrmH8+PGaN+PPP/8cNWrUQL9+/XD48GEkJCTg9evXWLlypaZUVXBwMMRiMU6ePIm0tLRcx/fFF1/A29sbAwYMwM2bNyGVSrFv3z589dVX6NixIzp27FjgxyA3GzduxN27d/HRRx/h3r17SE1NRWhoKPbu3YvmzZtrXcnNx8cH27dvx9mzZ5GUlITTp0/js88+Q5MmTXRyzPRp2LAhJk2ahFmzZmHlypV48+YNUlNT8eDBA3z77beYOnUqAODLL7/E119/jX///RdpaWmIiorCunXrwOPx0KJFizz1lVfVq1fHX3/9pROh6ty5MwQCAaZOnYqYmBiEhYXh888/h0QiMbkPfdq0aYOuXbti3rx52L17N6RSKW7fvo0PP/wQHh4e+PLLL/O1H5baDpC3/TeksI5vToV1XNVGjRoFhUKBDz/8EBzHYcSIEVrri2o/DTH1edGmTRu0b98eX375JY4ePYqkpCRcuXIFK1asQIUKFQp1n9q2bYt27dphxowZOH78OJKSkvDXX3/h+++/19l2fvbf1P0iRahITy0jViEiIoJ9/vnnrGLFikwkEjEHBwfWoEEDtnLlSq2zXRljLCYmhv3vf/9jrVq1Yj4+PkwgEDB3d3fWvn17nbPQc1YtyO7QoUMMgFbVgoULFzIA7Pr16wbH+tdffzEAbPny5VrbyFl+yxT37t1jo0aNYuXKlWMikYgFBASw0aNHs5cvX2q1S0lJYfPmzWNVq1ZlIpGIubm5sWbNmrFNmzZpPT6JiYls2rRpLCgoiNnY2LBy5cqxadOmsYSEBE2brVu3svLlyzOBQKApIcWY/qoFjDH2+vVrNmTIEObh4cGEQiELCgpis2fP1jrbWF114Pz581r3TUtLYwDY/PnzjT4Ohu6v9uDBAzZw4EDm7e3NbGxsWNmyZdmAAQPYlStXNG0GDx7MypQpwyIjI1nPnj2Zg4MDc3V1ZaNHj9acgZ2zrSE7d+5kTZs2ZY6Ojsze3p7VrFmTzZ49W1PqJyoqii1YsIDVrFmT2draMk9PT9apUyd27ty5PPfFmOos5i+//FLnvi1btmQNGzbUWnbnzh3WsGFDJhaLGQDWsWNHzbpDhw6xmjVrMrFYzMqWLcuWL1+uqfqxZ88ek/rQd5Z2eno6mzt3LitfvjwTCoXM3d2dDRo0iL169UqrXV72Q5+i2o6x/c9r36YcX33ysp3COq5qrVu3zrVUoLn3k8/nsy+++EJnub7KC6Y+L5KSktgnn3zC3N3dmZ2dHevUqRN7/fo1q1atmt6z+03ZJ1OqFqi3PWHCBObm5sbs7e1Z165dWWhoKAsODmZ9+vQx6TExtL287hcpfBxjJpyqTggheTBkyBBcuHCBCoUTQooNOzs7jBw5EmvXrrX0UIgZUWoBIYQQQkq048ePIy0tDS1btrT0UIiZCXJvQgghhBBiHdTnIXTp0gVOTk64dOkSJkyYgNq1a6N3794WHh0xN4tHZOPi4nD8+HHs2rXLYDHpzMxMnD59Gjt37sS9e/fy3YYQQgghJVvfvn1x//59tG7dGp6enpgwYQK6d++O06dPm1xqi1gPi+bIHjhwACNHjkTt2rXh7u6O06dPY/r06Zg9e7amTWxsLNq2bYvk5GTUqFED586dw9ChQ7FmzZo8tSGEEEIIISWLxVIL0tLSMHz4cEydOhULFiwAADx48AB16tRBhw4dUL9+fQDArFmzkJmZiXv37sHe3h43b95Ew4YN0bVrV82VmkxpQwghhBBCShaLpRY8ffoUSUlJWvUkq1evjsDAQOzcuROAqqD6H3/8gVGjRmmKx9evXx+NGjXCb7/9ZnIbQgghhBBS8lgsIuvn5weO43D//n3UqVMHgCpfNiIiAg8ePAAAvHnzBlKpFFWrVtW6b7Vq1fDPP/+Y3EYfmUymddUVpVKJuLg4uLm5FerlFgkhhBBCSiLGGJKSkuDr6wser2hipRabyLq5ueGLL77A5MmT8fTpU7i7u2PHjh3w9PREYmIiAGguJ+fi4qJ1X1dXV806U9ros3TpUixcuNBs+0MIIYQQQlRBRj8/vyLZlkXLb3333Xdo3749zp8/j9DQUPzvf//DqlWrEBcXBwCwtbUFAJ1rGCclJWnWmdJGn1mzZmld+i4xMREBAQF4+U85ODnw0K9K9YLvYBaOx8G/ljfe3IsEU9L1J/Y+emDpIeSLkvHwLjEY7pIQ8DilxcZR0OemscffnM/74oxekyVDXo6jtb7vFEfq9wlzPqbF5f2VFExiEkO5es/h6OhYZNu0eB3ZDh06oEOHDgBUIemBAwdi4MCBAICAgAAIhUK8evVK6z4vX75EcHCwyW30EYlEEIlEOsudHQEnRw58Zr6HhmMchDwb8JkAdCE1wNnJOlM3lIxDhlIAZycOPAumnxT0uWns8Tfn8744o9dkyZCX42it7zvFkfp9wpyPaXF5fyXmUZQpmhatIxseHq51e+fOnYiOjsbo0aMBADY2NujYsSN+//13zZvU27dvcf78eXTv3t3kNoSQ9zr61tL8I6S0oOc9ISWTRcMvO3fuxPXr19G6dWs8efIEW7duxU8//YTKlStr2ixbtgxNmjRB37590ahRI2zfvh1169bF0KFD89SGEEIIIYSULBadyH755Zc4fvw4Tp8+DU9PT/zzzz+oUqWKVpuqVavi/v372LZtG16/fo1JkyZh5MiRWlfnMKVNXp2MUF0djL69E0IIKe2yfxaqPx8JKQ4snhDXpUsXdOnSxWibgIAAzJs3r8BtCCHEEvgCHpx9JODxKPfPnDgeB2cvJ6QGpufppL30TN9CHFXJ5BHoqvl/YTx+SsZBrnRDeqYPeBzlrRdPSgj5CeDz0i09EC0Wn8gSQvImezQkL78YUBTFMpw8HTHsu75wcnegGtX54OmXobMsOsxG83+BDR/yDEWe+nyVqNsnMW7Okff/f5VYGFvgoFQKkCyVA6CJbPHEACaHs/g8vBwOgSsmXzhoIksIIYWE44AO45vDN8gLDmJHADSRzauygbrRHy5drPm/ja0AGWnyAvdJLIwBmUoRhDwZvUyKKcYYUtMZYqJVv6J7Ox607ICy0ESWECtGUdbizc7ZDsH1y8Je7AA+vd3mi1isO6upXEt1VcZn9+zA5wnAz2MET1+fxMIYB76CDyGfBxSTSB/JiYOqPL8zoqNaw8P+RLFIM7Bo+S1CCCnJbB1F4PP54OitlhBSQtiJOYATIFPhbOmhAKCIrI7eFWtAwOW/2gEhhKhxHEc/kxZDz+7ZAQAq1Eq18EgIsT6qXH8OxSUWWjxGQQghpFSLiIxA9Ltoi/dhqufP3yApKaVItqXPo0cv8rX9zMxMhISE4smTl1AoFHjw4BnS02WFMEJd2ceckZGJhw+fF8l2SclGE1lCCCF6paal4k1YKDLlmTrrIiIjEPMuxmzbWvz9Iqzf8pPR/sPDo/DgwTPNv6chT/Hk2ROkpafp7aOwPHz4HM1bD4dSqSz0bRnSoMlAXLx0K0/3uXnrAfyD2qNz9wn49LNvEB8vRc06ffH48ctCGqW27GMWCPgYMGgajh67WCTbJiUXpRYQQujCH0TLm/A3mL90Dm7dvQVPd0/EJcShReOWmDJhKsoGlAUALFw2HwF+gZj9xRyzbNPXuwzc3dw0t9X9N2k7VbNszrzV2LPvFILKlgEAZKTzwPE4LFvwHapWqmaWcZhi5lcrMXHCR5BIHItsm+bw/Q/b0L1bK2xavwAAkJAgRbWq5WFrKyrysfB4PMyeNQ7Tv/wBXbu0AEc5OCSfaCJLCCFEy9TZU+Dk6ISrJ67D0cERcrkcZy+dwb8P76NsQFlERUciJSUZCYnxeBryFABQNrAsomOiIRaJ4e7mjojICCiVSvj5+iEqJgqJiario87OzvB099TZ5qghoyEQqD6Ssvf/4MEzAEDFimUBAPXrVcf5M1sAqHJdbeyFyEjRjRgDQGjYazg6OMHF2UWzLDLqLTgeD14eXkhOTsWrV+EIDg6AWPx+Mvfs2WvY2YlRpoyXTp8hIaE4ceovrFs7V7Ps1atw2NqK4eXlhujoWMjlCvj6au9j9jahoW+hVCpRNmtCDgCRke+QkZEJf39vvfWGMzMzERoaCT8/L4hENjrrc+vnv/9C8PTZazRvXlfzmALAbzuXIzBQdYEDpVKJhw+fo3x5f4jFIrx5Ewk3Nwns7e3ytC1Tx9y7V1t8MmkxTp3+Cx3bNzO4T4QYQxNZUuT0Rf+ojJRlUCSW5CSTyfDvw/tYtuA7ODqoIo4CgQAd23TStNm1bxcePn2IZy9C8OjJQwDAuhUbMXfJbNja2iIs/A1SUlPQsG4jLJ2/DHsP7cGfp48BAGLjYyEWifHtguVoWLeRps/F3y+Ct6c35s1YgF37duFxyEO8CH2GgUMeAAAOH1id532ZNONT9OjcE6OHjtEsW7bqW9jZ2WHJnKUQCPj4aPAMNGhQA1s2LQIAnDh5BT16T8bFc1v1TmQPHDqLqlXKaa0b+/EC2NvZIuT5GyRKkxAdHYf27Rrj91+/g4ODnVabFy/DkJScitYt62PLz1/j8eOXGD5qNkKeh8LR0R5paelYs2o2PuzXQdP/mbPXMWT4TCiVDHK5HIMGdoUyx5XMcutnyPBZePrsNd5GxuD8+RsAAIVCicdPXuL237vxwQeVkZqajpp1+mLSp4OwZ+8piMU2CA+PxtzZH2POV+NM3papYxaJbNCiWV3sP3iWJrIk32giSwghViBDoURsmhxutgLY8Avv9AaRSARvT28cPHYA9es0gK+37uVIP58wFY+fPtKbWnD52iVs+2kH6n1QT7Ns4phPMXHMp5rb23ZtwRdzpuLMgXMQi8XI6fMJU/Em8gHKl/fHjz98qbUuJSVNE1F8HWILRxcH+Ljl75KpYrEIu3YsQ8Omg9C5YzO0alkPI8fMxexZY9G4kf4veX///S9q1ayos/zIsYs4fGA1unZpgbdvY9Cy7UgsWrwey799nxpx4tRVnDm5Cc2a1gEApKamoVO3jzF2dF/M+nIMeDweTp66ij4ffo4a1SugcuUgJCenYvCwLzFmVF8s+XoyMjIy8eGAqUhLe1+/05R+7tzag8bNBqNrl5aaSem7d/Hw9G2psy83btzHv3f2w83NGX+euIxuPT/FgA87okKFQLONWa127SrYt/903g4cIdnQyV6l0MmIezr/CCHF152oFPQ/EoLhJ16g/5EQ3Ikq3LPlf1jyI8LfhqF19xZo16s1ZsyfhrMXz5h03zbN22hNYtUYY4iNi0XIi2doVK8x4uJjEfIyJM9je/joOQYOmYGBQ2Zg5teTsfbnZXnuI7uaNSti6ZLP8PHERfho8HSUL+evFX3MKTIqFm7uLjrL27ZpiK5dWgAAfHw8MP2LEfh5yz6tNt27ttRMYgHgwMFzkEqT0adXOzx58gqPHr2Av583KgQH4PiJywCAg4fOISNDjnlzPgYA2NgI8e03n2v1a0o/eTFj2ii4uTkDADp3ag6JxAH3/31q1jGreXi4IDIqNs9jJESNIrKEEFKMZSiUWHgtHGly1RnyaXLV7d3dgwstMlu3Vl2c2n8Wj589xp37t3H52iVMnD4BwweOwKzPZxu9bxlff51ll69dwsJl85GQmAA3V3cIBQIwxhAVHYnqVarnaWzZc2TBOGQqxHj1X5660PHZpCHY/sthXLz0Dx4/OAw+n2+wrY2NABkZujm5VaqU07pdrWowEhKSEBuboJkUlg0qo9Xm0eMXkMky0X/gFzr9yeWqy+4+f/EG5cv5aeWYVqpUVmuMpvSTF76+Hlq37e1tkZScatYxq8lkmRCJqHY7yT+ayJYiFHktuXLmuho71pQXa11i0+RIlb8v88QApMpVaQY+DoZP+jGHyhUqo3KFyhjYdxBWrP0em3f8jC8mToONjeGz3Pk87cm1QqHA5199hgmjJmLk4FHg8XjIlGeiVrPqYMzwpUhTpHwkxJg2walQMw3gGBycFJC4yzUXOhDbMbj7Zmhd+MDWQQYnZxutZZev/IP/Hj6Ho6M99u4/jZkzRhvcVtmyfggPi9JZnpamXYs1NTUdHMfBzu596gSfpz2Rs7ERwt3dGf/ePWBwe3Z2Yp2+MzIyoVAo8tSPuZhrzGrhEVGaKhSE5AelFhBCSDHmZiuAnYCnKU7EAbAT8OBmWzhxCMYYMjIzdJZ7eXhlrVfdFtnYQK6nvmxOMe+ikZSchHat2oGXNcn9+58beic12ZnavzEeHi6IePu+Fq1CocC9rJ/I1RISpBg2cjamThmGrT9/jfkL1+Kf2w8N9tmyeV3cuPmvzvJLl25pTczPnb+BShXLwtZWNwdYrVnT2njzJhLXrut+8VRHfWt/UAXPQkIRFhaZre+/89yPuZhrzGo3bvyLVi0bmHWMpHShiSwhJVBH31qaf8S62fB5mN+4DGwFqrdrW4HqdmGlFWTKM9GpXwes2bQal/66iPv/3ceeg39g9ab/oUfnnhCJVNHYcmWDcfP237j77x08DXmqd/ILAJ4eXijj64cVP/2Aew/u4ujJI/hq0Uy95ZqyU/e/Z+cTHNsXhv9uCSCNEyAt2fT97tqlBbb/cgh7953C1b/uYOTouXj9OkKrzSefLoabqwSLFkxEr55tMHxYTwwZNhOpqWl6++zdqy1SU9Nx9a87WstfvAzHqDFzcfWvO1i77nf8+L+dRnNtAaBN64bo06st+g2Yiq3bD+LG3/fx2+/H0ab9aNz4+z4AoF3bRqhfrxr6D5yGs+eu48DBs5g4eYnW42dKP+ZirjEDQERENG78/S+GDu5m1jGS0oVSCwghpJir7WWP3d2Di6RqgY3QBru37MXv+3/DL79vR0JiAjzcPfDFxGno1a2Ppt2IQSMRlxCHJT8sRlpaKtat2Ag/Xz+4u2nnV/J4PGxatRmrN6zCwmXz4eHuicVzvsGq9T/C3t5B0y7nBRH09e/lpb9eqVpAoA+8PN/3MXHCR0hLk+F/a36Fvb0tevVsC08vV9jb2QIALl66hYePXuD3X7+DjY0qjeHHH2age69PsWHTXnz+2VCdbTg62uOTjwdg3fo/0LRJbc3ySZ8OgsTJAfMWrIFcrsC6NXMwaGBXzfqyZcvA29tNp78/fvseGzbtwe9//In4eCkqVSyLhfM/QfNmdTVtDu3/H+bMX4OZX/2IwAAfbNu8GDNmroCTk32e+ilfzh+enq6a2wIBX+uCCHw+D9Wqloedra3WGCtXCoKLs5PZx7xp8z706NYSFSoEqnJmCMkHjhlLUipFpFIpJBIJWqEnBJx5E885HofAOr54fTsCTGm5h9ta8yaLS26vkvEQnVAJns5PwOMsd2nK7IrzcSvOiuo16RHoinHrBsPL3Rt8GD6BiOSfsQsiGJI9PzY/kpNT0bnbBPy2cxn8/LzRvtNY1K1TDd9+M6VA/ZYm6ekydOg8Dtu3LEFQkJ/mxD0hPx3gaFpSnKWnM7x8HY2yksUQC7V/4UiQMrhVCkFiYiKcnJwM9GBeFJElhBBC8sDBwQ6XL2y39DCsmlgswqXz9BiSgqOJbAlR0Kil+v4U4Sv+6BgRYrqCRl9NYShtgBBS+GgiSwghhBTApvULLD0EQkotmsiSYk8dgSwuubKEkOKvKCKxhBDLo/JbhBBCCCHEKlFEtoTIy5WdjKFc2eKLjgkhxlEUlpDShyKyhBBCCCHEKlFElhR7pTE3lqKvhJiuQs00qj1KSClFEVlCCCGEEGKVaCJLLOZkxD2df/rWEUJKvtmLZ+HHdStNaluhVqrqX800+JbN0CwfM34+5s5fU1hD1EhIkKJWnb4IC4ss9G2VBEEVOuHCxZuWHkaRefUqHP5B7RAZ+Q4A8PDhc/gHtUN8vNTCI8vdixdhqF3vQyQnW0++OU1kCSGEaMnIkGHrr5sxaOxH6Ni3HUZPGol9h/dCLpdr2sxcMAOrN64y2zbjE+IhTUo02v/SlUvQomtT+Ae1U/0r1xblgpvh5q0HAIDYdwmITyj8ycKiJRtQv351+Pl5m3yfkaPnYMGinwpxVOZTuVp3nDx1Ndd2L1+G4ZNJi1GrTl8EV+6C9p3GYuv2g1AqtS/hHRYWhfR0WWENt9iRyxUID4/WvF4yMjIRHh4NhUJh1u3cv/8U/kHtIJUmm63PcuX8ULlSEJYu+9lsfRY2ypElxUppj8BSbiwpDuZ9Mxd/3/kbX02djeCgCoh4G47jp48hNj4W44aPBwDEJ8bD0dF811JfMmcp+Hy+5ra6/+yVCBg/FkFBXtj92/dZCzhkKkQo4+NgtnHkJjExCZt+3osLZ7fm6X7vYhMgcXYspFGZV3hENNLSjE88r9+4h05dJ6BLp2bYuH4+3N1c8Ne1u5g5+0ecPHkVv/26HBzHFdGIi7dq1coj9MUpuLpKzNpvRqZqgpzzi0NBjR3TF/0GTMXsWWNhZ2dr1r4LA0VkCSGEaGTKM3H01BF8Mnoi2rVsj7IBZdGkYVMsnvMNRg8ZA0AVGb128y/sPbwHLbo2RYuuTREa9hpTZ0/BqvU/YtmPS9Glf0d8NmsSAOCHNd9p2vUY1A3zvpmD2LhYre1+v2Y5tuzcrNO/Ovr6/PkbAIBIZAM/P+9s/3xgYyPUuy+dun6MDZv2aC2bOHkJZsxcAQCIiYlDjQ96Y/3G3Zr1L1+GoUKVrti775TePvcfPAs3N2fUrVNVs2zW7FWacX5Qtx/Gf7II0dHv92/q9O9w9twNbNl6QGd/ctq95yRatxuFClW6omOX8Thx8opm3cVLt1A2uCPu3HmkWbZv/2kEV+6CFy/CAACt242Cf1A7BJbvgMbNBmPJ0o3IyMjU2kZmZiaWLvsZDZsMQtUaPfHpZ98gMTEJANCk+RCkpqZj7McL4B/UDnUb9NcZo0KhwJDhs9C4UU3s2rkcDRvURPny/hg6pDuOHFyNPftOYev2g1r3eR36FoOGzEC1mr3QovVwnD13XWv9H3tOoG37gahcvTt69/0M/9x+qPfx0cfY/gCAVJqMz6ctR7WavVCleg98MmkxYmMTtPowpU1QhU74ZcdhDBg4DRWqdMWKH38BANy79wSdun6MytW6o1efybh777HW/Z49C0Xj5kOQmKiKnN689QD+Qe1w9tx1dOs5EVWq90DP3pPw5MlLzX1iYuI0z5VyFTuhbYfR2LP3/XMyLCwS3XpOBABU/6AP/IPaYeLkJQCAqKhYfDJpMarW6Ina9T7EZ1O/RUK2XyrkcjkWfr0O9Rt9hOq1emPsxws0aRAA0KplfQDA0WOXTD4GlkQRWVLkSnvUlZB8ycgAYhMAN2fAxqbQNsPn8SHgCxDy/JnuuqyI6SejP8WTZ09QxrcMJo2dDABwd/NAXHwc/jxzHONHTMDq5T/BReIMABg7fDwGfzgEAPAuLhY/bV6DCV+Mwx9b9mqidvEJ8RDZiHT6X7FyLADA29s9z/sSFRWLpKQUrWVxsYmQyVR5tR4erpj15RiM/XghWjSri0qVymLI8FmoWrkc+vXtoLfPS5duoX7dalrLvpw+EhMnDFBtMzoOi5dsQM8+k/HX5Z3gOA5zvxqPf/99isBAXyyYO8Hg/vy0/ncs+24LVn4/A9WrBePmrf8wYNB07Pn9B3Ro3wQtW9RDh/ZNMHjYTNy68Tvi4hIx/pNF+GrmWJQr5wcA+P3X75CZmQmlkuHps9f47PNvIZWmYNnSzzXb+WjQDNz79wl+WD4dFYIDcP7iTfyw8hcsWjAR+/f8iODKXfDtN1PQsX0TrSi52sVLt/DiRRh+3rBQZ12d2lXRvl1jbNl6AKNG9NYs//yL5Vjx/XTMnjUOf+w5ia49JuLurb2oXDkI12/cw8gxc7Bx/VI0ql8JT569xKzZP+LUnxv1HoOcjO0PAAwYNA1RUXHYuH4+BAI+Pv9iObr3+hRXL+3QPP9MaRMWFoXPpi7Djz/MwLffTIGbmzPi46Vo23EM+vRuh+++nYpHj1/i44lfa40vZ2qBTJaB8PBoTJvxA1Z8Px1enm6YM281+g2Yivt39oPjOLi5OePa5Z1Z95fjr2t3MXrcPDg42KJzp+bw8fHAlk1fo1vPiTh1fAOcnOxhZ2cLqTQZzVsPR5vWDfHbzuVgjGHh1+vQvdckXDq/DRzH4YeVv2DnrqP4ecNCeHu54a/r97Dg63VYv3YuAIDH46FB/Rq4cOkm+n/Y0aRjYEk0kSWEkOLuzkPwFq8Gl5oGZmcL5ZxJQO2qud8vH3g8HqZMmIrl//sWl69dQoO6DVGnVl00a9QcLs4uAACJkwQikQh2tvbw9vLRun+dWnUxZcLnWsucHJ3glJWG4O3lg+ULv0f9NnXw4tVzlA8K1hlD9v5z5qFeu34P/kHtNLdrVK+C44fzf4LXoIFd8eeJKxg09Et06tgML1+F4+A+w7m/r0Pfolo17TE7OzvB2Vm1f35+3vhl2zdw8WiKx49fokqVcnBxcYJYLIKDg53BvNrMzEzMnb8GW3/+Gj26twYAVKxYFv89DMGq1TvRoX0TAMCPP8xAnfr9MeWL5Xj+PBR1alfB558N1fTj5eWm+X9AgA++W/YFRo2dq5nI3vj7Pg4cOoub13/XRJWrVi2v+Xna29tdNZFydTY41oePXgAAqlfTPXYAUK1aMLZuO6C1bOSIXvh4nCq6u6haMK5cvY3vV27DzxsW4sF/IQgM8MGA/t0h5KcjuII/OndqprfvnHLbn+s37uHkqb/w372DqFKlHADgt53LEVy5K06d/gsdOzQ1qY3apImDMHxYT83tb5dvhkTigPVr54LH46FGjYp4ExaJ6V/+kOvY1/80Fw0b1AQAfL3wU9So3QcREdEoU8YLPB5P6/EvV84P9/99iu2/HEbnTs3B5/Ph6ekKAPD19dA8/35YuR2ODnaaSSkA7PxlKVw9VbnkDerXwIMHz9C2TSO0bFEPAFCpUhCGD+2hNTYfb3e8fh1hyiGwOJrIElIMUG4sMSgjA7zFq4G0dNXttHTwFq+G8rdVhRaZHTFoJFo2bYUzF0/jzv3bWLR8ARRKBZbOW4aObToZvW/VStV0lkVGvcX6retw78FdxCfEQ8mUYIwhLCJc70QWAOydFHD2yNRZXqd2Fa0cWY5f8LzTtatn44N6/fDdD1tx/MhP8PBwNdhWLpdDINCOUoaFReKbZT/jxo37eBebAKVStX+vXodrJka5efz4JeLjpZg4eQk+m7oMjDEwxpCcnAp3NxdNOzs7W/y6YxkaNxsCicQB9/7Zq5WLev3GPfywYjsePX4JaVIyMjIyER0dh9TUNNjZ2eLa9Xs6qRGA6guMqdQnMYlE+p9/Ihsh5HLtE5uaNamtfbtpHc0JZe3aNMKMmSvQs/cYfNi3Ldq2aYiAAO0vSIbktj/37j+Fh4eL1nEIDPRFUFAZ3Lv/BB07NDWpjVqd2lW0tnP//hM0blhL6/Fr3qyOSWPP/kVA/QXk3bsElCnjBQDY9dsxbN1+EK9D3yItLR3JyWmoVDHQ+ONx7S6ePnuNoAqdNM8hxhgUCiVCQkLRoH4N9O7VFkNHfAWlUonOHZuhTesGkEi0X0d8AV/nGBZXNJElhJDiLDYBXGqa5ibHGJCapkoz8PEstM0GBQZh7LBxAID09HR8PvszzFn8FTq07mj0JB6Rnsn1mMmjEBRYDnOmz4enuycEfD7a926LzMwMPT0Yp86RBZB1spcYQHqe+8kuKSkFUmlK7g0B+Hh7ICY6TmtZ524TUKliWfzvx1nw9fGAQCBAcOUukMl0J+KGpGelO+zYthTB5f211gkE2h/V0dGxmp+psx+L168j0L7TOHz+2TDMnjUOrq4S3L7zCH0+nIKMjEzY2dlCLlcYnICaKqisKo0hJCQUtXNM7ADg+fM3CCpbRmtZzjxmGxuhJsWjbNkyeHT/MHbtPovDR85j8udL0alDU/z263Kdfc8pt/2RyTL0rhfZCDXHx5Q2amKxdjuZLBMSifbJhjZC/TnbOelL22BMdWGPvftOYcKni/G/lTNRv151ODnZY/Xa33Dq9F9G+0yXZaBNqwZYu3q2zjr1yWZ9erdDpYplsWffKaxavRODh83EgnkTMGPaKE3bdzHx8MlHOo8l0ESWmEXOvFd1hJHyYQkpIDdnMDtbIC0dHGNgHAfYilW5skVELBajXcv2OHfpLFJSkuHg4Agej6f50DUmKiYKz148w5rv1qFsQFkAwPNXz5Ep153kSdzlmioFfBP7N8bJyV4nR/Z1aASqVi2vuc0Yw4jRc1C3TlXUq1sNo8bOw71/9sLd3SVndwCAhg1r4ufN+zS3IyKi8d/D59i/50dUqKCKlj1+/BKZmXKt++W2PxUrBEIgEODps9eak230iYmJw6ix8zB/7gScO38DI0bPwYlj68FxHK7+dQcSiaMmNxQAjp+4rHX/qlXK4+3bGISFRRpMHeDz+UbH2qZ1Azg7O2L9pj3Y8NM8rXUREdE4cuwiZs4YrbX83wfP0LdPe83t+/efoEJwgOa2l5c7Pv1kOD6fNABh4W8RVKEzTp+5hs6dmhschyn7U6liWbx9+w4xMXGaSLtUmowXL8NRMet4mdLGkODgAJw7f0Nr2b37T4zexxSnzlxD964ttdIYQkPfarXhZ0WBsx+qqlXKY/fek/DycoPQyIS6WrVgTYrMb78fx9ARX2HihI9gb28HALh99xHmfDW+wPtRFKhqASGEFGc2NqqcWFux6ratWHW7kNIKMjJk+GLOVNz/755msvk2MgJ/HPgNNarWhIOD6idILw8vvAp9metk09nJGWKRGBevXgCgOqlrwbfzjN4HAHzLeOLZs9cFmszWrVsN+w+c0RSi/2XHYVy/cV+rzQ8rt+PuvSfY+vPXWDj/E/j7eWHcx7onMan16dUWz0JC8fKlqkqAq6sEtrZizYQxNjYBn0xanOf9kUgcMW5sP8xfuBaXr/wDQBUpPHL0Atb89Jum3eix81AhOACzZ43FL1u/wc1bD7BqteqkID8/L8TExOHWP/8BUNUZXbJU+4SpDu0bo2qVchg9br6mssLtOw+x8ee9mjZlfD3x5Okrg4+Bo6M9Vn4/A1u3HcSq1Ts1kdWQkFD0HzgNFYID8MXnw7Tu89P6P3DvnmqCd/zPyzh4+Dw+Hq/Kmd2x8wh2/X4MaVnpM2HhUVAqlZpJZf+PvsCY8fP1jiW3/WnXthEqVgjEZ59/i7S0dGRkZGLq9O/g4eGCnj1am9zGkLGj++Le/afYtHkvGGMIDX2Lb74teA1WvzJeuHnrP7x7Fw/GGPbuO4W9+09rtfH1Vf0i8+Tp+2oHE8b3z0pR+UZzUYM3byLx2dRvNa8D9XNMoVCAMYY3YZFwdLSHWKw62fLBg2eIiopFj26tCrwfRYEmsiVUR99aFs27pKty5Q09XsSo2lWh/G0VFFuWq3JjC+lELwCwsRGhdfPW+OaHxajfug4atquHjv3aw9vTG6uXvT+pamC/wXjx6jkatK2rKb+lj0gkwpK5S7Fm0/9Qv00dtOnREtUqVYOt+H19ygq1UuHgpJ2PN2Fcfzx6/BJuXs2Mlqsy5qsvx8DDwxU+/q3h7t0cBw+dQ9s2DTXr7959jDnzVmPDT/Pg6+sJgUCAndu/xZlz17Fp8169fZYtWwa9erTG5q2qk5nEYhF+3rAAC79eB1fPpigb3BG1a1eBnZ04z/uz8vvpGDm8F3r2mQyJW2N4+LTA1m0H0b5tIwCqqgaXrtzGL1u/AZ/PR0CAD9atmYtZs1fh33+fokXzepj06SA0azkMbl7N0KHLOK0oKKBKUzhxbD2EQgH8yraHi0dTfPzJ12jcsOb7x23mWCxd9jN8/FvrLb8FAMOH9cS+3Svwy47DcPFoCk/flqjX6CNUrVoeF85u1UT21IYM7obeH34GiVtj9B/4BRbO/wRt26j2q1XL+jhx8gr8yzaCh29z9Og9Gd8vn4Z6WdUhYt7FI/Zdgt5x5LY/fD4fe/9YgZevwuHi0RQSt8a4ffsRDuz5UTNxM6WNIcHBAdiyaRFmfvUjJG6N0aDJQLOc6T9l8hCULeuLMoFt4ezeBIsWr0f/ftqVNLy83DB50mC0bjcafmVV5beCgvxw5uQmPHjwDC4eTeHi0RQt245AheBATQpExw5NMXf+Gs36rdsOYvdv32tSHbZsP4iP+nfKV6UQS+BYQX+7KSGkUikkEglaoScEnGn5LabieBwC6/ji9e0IMGXRPtz5nRzldRJcGiZhSsZDdEIleDo/AY8zbwFqNTrpq2gU1WvSI9AV49YNhpe7N/jQzYcr7uRyOZJTkuGcVUZLn0RpItLSUuHu5gFpshQ2AqEmapsdYwzxCXFwdHSCUCBEVEwUnJ2cIRKJUKFWKmJjE8Dn8zRnX6vFx0uRkpIKb293JCWlQi6Xvz8ZKytHVshPBzhmsI/k5FSIREIIhULExSWC4zi4uDghMTEJqanp8PHx0GofG5sAhUIBT0836PP8+Rs0aTEED+8fgltWigdjDO/excPZ2RFCoRAREdFwdZXoTISy74+h/E+lUonY2AS4ukq08iijo2MhEAh0CutHRETD3t5Wc8JORkYmEhOT4O7uArlcjqioWJQp46WT25yWlo7MTDmcnHQvKKFUKvHuXTwUCqXO45NTSkoqUlPTdcarFh4eBXd3F4hENkhMTIJYLNLNSWUc0jOESEt5BxdX7eMXExMHHo+neawNMbY/gOpiFowxneeHqW2y70dOcrkcUmkKXF0lUCgUePs2Bj4+HuDz+cjMzERUVCx8fT3B4/GyTsCL1UqFUCqViIiI1kkJSE5WPeednZ2QnJyK1NQ0nedlZmYmYmLiIRaLtJ4bKSmpkMsVOidyZX+8FAolHBzef+mIjHyHmnX64p8bf8DfX3/qSXo6w8vX0SgrWQyxULuyQYKUwa1SCBITE+HkZL4Lphhj0YmsUqnErl27cPz4ccTHxyMgIABjxoxB/frv84M6d+6MtLQ0nft2794dX3zxBQBgxYoVOHz4sNb6oKAgbN1q+pVXaCKrn6kTK5rImgdNZIsGTWSLTvYrc5ldjolsUYqJidP6OZYUkAWPJXlPVR0h1WjljuI2kbXoyV6zZs3Cpk2bsGTJEpQtWxYnTpxAkyZNcO7cOTRvrkrw/uqrr7SuT/z48WNMmDABEyZM0Cx7+vSpqujvwvd5Tfb29kW3I4QQQkoVYx/0hFgrW1sxbG3FuTcsRiw6kd2zZw8++eQTzaS0c+fOOHPmDA4ePKiZyKr/qh09ehRubm7o3bu31nIPDw+0atWqwGM68PRfODnyS0xkTN9+5CV6mr1tzr5KQxS2qJSU5xspnQo16koIIUZYdCL7wQcf4O7du1AoFODz+YiIiEBERARq166tt31mZiZ27NiB4cOHwybHGbv//PMPunTpAolEgubNm2PcuHG51p8jhBBCCCHWy6IzvW3btmHs2LEIDAyEn58fnj17hsWLF2PIkCF62x85cgTR0dEYM2aM1nKxWIw+ffqgZcuWCA8Px7fffos9e/bg7NmzBq9WIpPJIJPJNLelUlVZCiXjQcl44HiGC37nFcfjwHGcWfssCCXLX7GKP8P/BQB08a9ZoH6slZLxwBhntv1WP44AwJWuh9Liiuo1WVxe8wVRoabuOQo6mGX2k2X7y1loDMQ86FhaEcYAcFDq+TxUWuC0K4tOZLdu3Ypz585h3rx5KF++PE6dOoWFCxeiWbNmqFVL96fWzZs3o1mzZqhSRftKIt988w3s7N6fddemTRtUrVoVe/fuRf/++kuHLF26VCunVi0msQLSFUIE1vEt4N69x/E4eJR3BTgU+cle+kQnyHJvZIT6sSloP9aGMR4SU8oA4MCZ4WQvcz7HSN4U1WvS2csJAhs+bGwF4POs8xeiTIXl37OMUSgLp54uKXp0LK1DplIBpVKAuKQgCHjaJ3RJkxQAnhbpeCxWtSAlJQWurq5YvXo1xo0bp1neuXNnCAQCHDlyRKt9eHg4AgMDsWXLFgwbNixndzrKly+PAQMG4JtvvtG7Xl9E1t/fH615vQqnakFtX7y+U/RVC/Q5/uZ+7o2IDiXjISahIjycn5qlakH2iCwpWkX1mvQIdMXYtYOKRdUCkyKrVoYBkCvEEPDTQTE860bH0nqkpyvxMjQGAU6LIRZqX20sQcrgUflp6ahaIJVKkZGRAX9/7WtKBwQE4O7duzrtt27dCgcHB3z44Ye59q1QKBAXFwex2PCZdyKRCCKRbtkUpmRghVD6gzGm6rsYTGQLq3RUacBxDDxOaZbHsDg8F0qzonhNFqtjXAJLGql/guZUNyw6FlIwdCytCAcADLysz8PseBY4dhbLzPPx8UFQUBC2bNmCzEzVZRDDw8Nx5MgRNG3aVKstYwxbt27FkCFDYGtrq7UuMzMTq1atglyuuq61UqnE3LlzkZSUhD59+hTNzhBCSDFToVaq1j9CCCmJLHqKye+//4579+4hICAADRo0QMWKFVG3bl2d3NXz58/jxYsXGDt2rE4ffD4fYWFh8PX1Rf369eHn54dff/0V+/btQ/Xq1YtqVwghhGR58yYSY8bP17rWe/bbhb294uTM2euYv3Btgfu5cvU2vpqzyuz9FtRP63/H2XPXLT2MEkcmy8CY8fPx4kVYrm2TklIwcfISpKaWvPQhU1j07IMGDRrg0aNHePnyJWJjYxEYGAhvb91LopUrVw6XL1/WewIYj8fDd999h4ULF+LRo0dwcXFBYGCg3svkWdrxN/e1wvBUO5QQYk7mirxu3X4QV/+6o7N85vTRCA4OyPX+sbEJ2LL1AL5dMgUODnY6t80tNq5w+y+IB/89w/4DZ7Bw/sQC9fP4yUvs2XcK3yz+zKz9FsR//4Vg4dfr8PjBkdwbF4GoqFjsO3AaT56+glgkQuXKQejXpz0cHVUXSPrr2l1s2XYAgCoI5uhohwrBgejQrjGCgvy0+sreNrtuXVrg6PFLRsfRqkV9DBncrUD7kpkpx5atBzBmVB+UK+dntK2joz3i4xKx7LstFn0+WIrFT6Pl8/kIDg5GcHCwwTZly5ZF2bJljfZjZ2eHunXrmnl0hBBS+ly6dAvXrt/DtC9GaC1XTwiKmwB/H2xcP79Yjq9928YI8Pexmn7z4ptvN2HQwK5wcSmak3qM2fnrUXw8cRFatayPNq0bgjGGv67dxeJvNuDg3lWoUaMinj57jS1bD2Dj+vkAgMTEZJw//zemTF2GEcN7Ys2qrzRBsJxt1fzKeKNRw/cn6l64cBO7957CT2tma5YFBZUpgj3WNunTwejU9WNMmzqiWL4OCpPFJ7Kk6NCVuAgpmQojB9bHxwNjRvXVuy4jIxO//nYM/9x+CCdHe/Tt0x5161TNU/+59TF/4Vq0alkfrVs1AKCaqFy8fAtrVn0FkcgGjDF8OnkJxo0dDldnIa7fuI+P+neGSGSDkJBQfPvdZny7ZAp+++NPPH/xBhUrBGLMqL6wsXlflSY5ORUbNu1B6Ju3qFwpCJ07NsPipRvx3bdf6EzOlEolPpu6DIMHdkGjhu9/TUtKSsHU6d/hiynDUblykM5+vo18h3v3n6BP73YAgGPHL+H+v0/Rt3c77DtwBjHv4tGiWV306tlG636vX0dg89YDSEtPR4N6NXLtFwDS0tLx62/HcO/+U/iV8cKIYT3h5eWmWZ+amoYdvx7Fg/9C4Onhil49WqNGjYpa+3jg4Flcu3EPtmIxunZprrWv2cXHS7F3/2lcvbRDa3lu29Dn5cswbNl2EKlpCjRqUAXe3m7488QVTfQ5N9dv3MPIMXPxw3fTMPnTwVrrEhKkyMjI1FqW83l965//0LrdKHh6uOpENPW9BurVq6b5f3p6BvYdOKPVjjGGvftO4dKV27CxEaBLp+Zo07qhVh+MMezbf9pom5weP36JP/acQHyCFB/UqozBA7tAKFQ9nxs3qgVXVwn+2HPC4Ou2pKIy7IQQQkymVCrRvtNYLFu+Gf5+3kiUJqNxsyHYveekWft49SocO3a+/8l61eqd2LL1AK7fUJUP/O+/EKzfuBseHq6a1IL0dFVJxciod9iy9QCatxqOsLAoBPj7YOWqHRg0ZIamP7lcjhatR2D7L4fg7+eNf24/RLNWw7Fl6wGkpOh+MeDxeIiPS8QPK7ZrLf999584eOicwZ9/1SkAanfuPsb3K7ahz4efg+M4ODrYYdjIr7B67S6tfa/bcABu33kIH28PrN/4BxYsWme03+joWNSp3x9rf/odZXw9kZCQhPadxmryht+9i0e9hh/h8JHzKF/OD0lJKWjRZiT27T+t6WPq9O8wfeYPcHdzgYODHWbMXIE/dp/Qu18XLt6EUCjAB7UqaZaZso2cnj9/gzoNBuDu3cfw9vbEho17MHDIl9iz75TB++T0w4rtqBAcgE8/GaizztnZCZ6ebnru9V69utUwdkw/rPnpNyiVBa9IM2rMXEyashSeHq4QCoTo3msSln23Jc9tsrt95yHqNOiPmHfxKF/OH1f/uoM+H36u1aZ50zo4ffpagcdvbSgiSwghRSwlLQWpaSlm60/0Jt3oeomTHSSSvOWOPnn6CmPGv/9ZtWxgGcz5ahx2/XYc/9x+iOdP/tRE+zzcXTB1+nfo1bONVsTTEFP6aNmyPr5esgEAIJUm4/6/T9GnV1ucv/A3WraohwuXbqFqlfLw8HBDdNQbvdtZtOBTfNivAwCgXt2qaNV2FOLjpXBxccLOXcfw4mUYXj47oYm+TpqyFGt/+s3guEeP6oPO3Sbg3bt4uLu7AAC2bjuIwYO6mrTfaqmp6fjz6Dr4+6vOCeHz+di8ZT8mTRykGveSDahWtTyOHFwDjuPw2aTBqFO/P1LTDB/nr+b+D3w+Hzf+2qUZy9QpQyEUqj7m5y5Yg4oVAnFw//8096lUqSw+n7Ycffu0BwDsP3AG3337BQb07wQAmDFtJCIiovVu7/GTl/D389a6FLwp28hp8TcbUKtmRRw+sAZypS2mTh6Aeo0GIFnPlwlDrt24jw7tmxi8kqcpmjWpjR9X7cCrVxFaX0qyvwYAYO3/ZkMkMnzhhmvX7+GXnUdw6/rvqF1bdfGmalXLY/wnizBsSHf4+HiY1CanI0cvolnT2liz6ivNsrCwSK02QUFlcODg2bzvvJWjiSwhhBSxF29C8ODZv+brMJcgTItmldGqRd5++ndytNfKBfRwdwUAXLh0E21aNdD6yXrIoG5YtHg9nj17jWrVDJ/voGZKH61a1MeYcfPx6lU4HvwXgmpVg9G7V1ts2rwPAHDx4k20bFHP6HbatW2k+X+liqqf/cPCIuHi4oRLl/9B29YNtVIIPuzb3uhEtlXL+ggI8MHOXUcxZfJQPH78Etdv3Mf6tfNy3efsKlUsq5nEqm+HhUdpbl+6fAuTPx0MjlPVVuXz+ejTux127jpqsM8/T1zB5E8Ha02oPTxcNf8/dvwSAgN88fHEr1U1lBlDXGwCwsKiEBubADc3Z1StUh7rN+5GmTKeaNigBoRCIcqU8dK7vaSkFJ0T60zZRk6XrvyDzyYN0drX3r3aYsevpp9AJpUmwzPbvuaHk5MDAOhUvsj+GlCNz/hk+eKlW6hUsaxmggoAHw3ohJFj5uLvmw/Qs0drk9rkVLVKeaxctQPbfjmE7l1bws3NGX5+2ifHOzjYQZpkvi/I1oImskWoi39NMCXT5Krqy1ktzEoG6r4pV5YQkhtDObIx0XGaaKSau7szACAqOtakiawpfZQr54eAAB+cv3gT/z0MQcuW9dC6VQOMHjcfaWnpuHTlH6z93xyj27G1fX/RG/UERKFQ/XT8LiYOXt7uWu3dXJ2N9sdxHEaN6I1t2w9hyuSh2LxtP+rWqYqaNSsiLS0dk6Ys1bRt2qQ2Rg7vleu41GNTjwsAoqPjdMaS8/HKKT5eqvXFIKd37xLQrk0j1Kur/YWmU6dmmgjjzu1L8e13mzF2/AKER0Sja+cWWP7tVK1Jt5qbmzPiE6R53kZOMTHxOvuqb8JrjKenK968eZt7QyOiomIBvH8equU13zQ6Jk6nD4FAAGdnR0RFx5rcJqcP+3VAWlo6tu84hImTlqBK5SDMnjUOvXu11bRJSEiCm6skT+MtCWgiSwghxGR+/t54/PiF1rLXr1WTCFPPoje1j5bN6+LixZv47+FzzJ09Hj4+Hgjw98HPW/bj3bsEtGxuPCJrTBk/L7x6Fa617E2On2r1GTGsJ+YtWIvrN+5h569HMXf2eACqSGL26F35XEomGePv560zltevI4zex8/PC8+f60+xAIAyZTzh6iYxOjFzd3fB98um4ftl0xAa+hbDR83GJ5MW48jBNTpta9WshNDQSKSkpMLe3s7kbeiMu4yXzr6+eZP7cciubZtGOHL0gtZY8urEySsICioDX1/PfN1fzd/PWycnOCkpBXFxiQjI+kJgSht9hg3tgWFDeyA9XYaf1v+BAYOm48XT45rI7MOHz7WivKUFTWQJIaSIlfMPhrd7wUsn+QUbz41VkziZr7Zqvz7t0b7TONXJJ7VVkbcVP27HB7Uqo3x5/1zunbc+Wrasj9lz/4e4uES0aF43a1k9LPtuC6pWKQcPD1dkKvK3H716tEH3XpPw8OFzVK1aHkqlEuvW/5Hr/by93dGtSwuMGjMPiYnJGPRRFwCAjY3QbGeL9+7VFtu2H8TECR/B0dEe797F49ffjsHOzvBl1wcO6IwNm/Zg/Nh+monN9Rv3UKN6Bdjb22HwwK748X87MXZUX1SqpEqzyMzMxLHjlzUVE/bsPYV+fduD4zgEBPigXr1quHpVt54wADRt8gHs7W1x+cptdOrYDABM2saTJy/x3YptmD9nAvz9vdGzRxts/+UQPp0wCCJbMeLiErHr92NaEdyc98lp5vRR2L3nJD6bugw/rZ6jlV5x/cY9uLu5GKx/zBjD1u0Hsev349i2ebHBx9dUPbq1wsyvVmLvvlPo11eVn73ix1/g6emKZk3rmNwmp7PnrqP2B1Xg6iqBWCxC187NMW3G90hMTIafn+rkxavX7mLDT3lLcykJaCJLCCFFzN7WHva2Ba/1GOBf9Feyat2qAT6dOBCt2o5C+7aN8SYsEq9DI3Ds8E+aPEdz9dGqRX1ERcWiTu0qcHZ2ylpWDz9v3qdTriqvOnZoigEfdkTTlsPQrk1DhDx/A4lElSeZ2wV1Ro/qg+69PsWgj7poxmVO078YgWPHL6Fmnb5oUK86btz8F+WC/BAZ9c7gfb6aORYPHoSgRu2+aN2yPqRJycjMlOPkcdUJc7NnjcXz529Qt+EAtG7VAEKBAHfvP8aQQd01j+Whw+cwZ95q1P6gMqRJyfjr2j3s2rFM7/ZsbcUYOaIXduw8opnImrKNt5GqihKfThgIf39vzJg2EseOX0TNOn1Qr14t3Lx1F/5+3oiNTdBsK+d9cgoK8sPpExsxYtQclKvYGc2a1IZSqcTjJy/h7OyIHduWarVXn8CVJE3Brdv/QSbLxMb18zF0SHcTj5Bh5cv7Y9nSzzFs5Gz8suMwUlLT8PfNB/j1l281OcWmtMkpISEJ9Rt/hArBgXBzleDchb8xZFA3VK1aHgBw4uRViERCdO/WssD7YG04xhiz9CCKA6lUColEglboCQFn+tmnpuB4HALr+OL17QitHFljCjNXlnJk80fJeIhOqARP5ydaV2gzB7rKW9HK+ZosLB6Brhi3bjC83L3BR8GuNlgYtWINuXT5FpKSUtG1SwuDbR4+fI7bdx7B0dEebVo30CrCHheXiP0Hz2Do4O4QiWx0bpvSh9r2Xw4hKKgMWmSlEcTHS7HvwGk0a1IHlSuVQ6ZCjKTEKOw/dFrTf1RULI4cu4CRw3tpJqUyWQZ2/HoEfXq1g2u2PMIrV28jNPQtKlcOglSagnYdxyI54QbEYpHOWNQiIqLhV7YdTp/YiLZtGhlsB6jKhD15+kpT7/Xu3ccIffMWPbq/P6Hn1atwXL5yW2silZGRidNnriEtLR1161RFRkYm7v/7TFOFIWe/anfvPsaD/0IQEOCNpk1q60zKnzx5iX9uP4SDgx0a1K8B7xx5wi9ehOHWP//B1laEZk3rGL3YQXR0LKp/0AfXLu/UiqQb28bbtzE49uclreMgk2Xg9OnrSElTokHdCti+8xBOn7mmqVGr7z76MMZw+84jPHnyEmKxCFUql0OVKuU06589e42Ll28BUJVTc3SwR3B5f9SsWVHncVK3zS3K/vDhc/x96wFGDOuptfzVq3D8de0uhEIhWrWsp3XinSlt5HI5tv1yCD27t9YsT0pKwV/X7iI+Xorq1YJRvXoFTfsWrYdj5IjeBvOyzSk9neHl62iUlSyGWKid8pIgZXCrFILExEQ4ORXNhTJoIpuFJrIkNzSRLTloIltCMA6ZCjGE/HSAy/tx/OvaXTRp/AEAQKFQYODgGXgb+Q6XL2w3er9Fi9fjt9+P4+G/h0yOQpdUl6/8A0cHe3zwQeV83V8my8CD/0JQt3Y1ZCrESEmKRt1G/TFwQBcsXjTJzKMtmZKSUrD/wBkMG9qjSJ6PxW0iS6kFuSiMygJUPYAQQixvz75T+HTyN6hcqSzu3nuCdJkM+3f/aLD9lau3sW79Hzhw6Bx+/eXbUj+JBYDmzQp2aXg+n4fJU5ZCLBbBxcUVV/+6iSqVy2F6jssjE8McHe0xPEdEuDShiSwhhJBSaeX3M/DffyH498EzjB3TDw0b1ICdna3B9h7uLmjXrjG+mDpcc5IaKRiBQIBL57fh+vV/8fL1O8z4Yhjq169GXxKIyWgim8OBp//CydH4T4DqSGpR/PxPPzmXDnS8iSGUUlC4qlULNqn2LQBUqhSkORufmA+fz0fTJrXRoGH+00RI6ZX/67kRQgghhBBiQRSRtaDs0beiyJelnFxCrAdFYgkhJHcUkSWEkEKivt48IYSUFErGADBwXD6vRmJmFJEt5vJbNYGir4RYnjQmGanSNMhc0yHiG74qkz7p6TQBzhVjyFQqoOApgRJybtCrJ9rPk7KVTLt6m9UrgceypGFgyMwEomPSwEMChHzDF+goSjSRJYSQQpKRlol9S/5E39mdYedkm6czsZk4oxBHVlJwUCoF4PHkAErGxD/6nY3W7dLzPCh5x7JEYnLYCf6Dv8tu8Cgia/3MeaZ5XmrL0hnuJQ8dy5LrzYMI/DTqFzh5OOhMZH++9MRCoyoZlIxDXFIQXB1fgpfjTPcxLSpp3baWx3px90p6l1vL+PPL2LEkxYUSfF4KBLxkcMXoGNFElhBCCllGWibehcbrLM95VRySN0rGg4DnBLHwrc7V9mJee2jdtpbHOue41axl/Pll7FgSYgxNZM0gexSVImuEEGMof71o5PzlqqirxJibvs8Wa9wPQsyNqhYQQgghhBCrRBHZYiY/ubJ5vR8hpOjRa7P4MPf7paV+iaP3fUIoIksIIYQQQqwURWTNLOc3Y8qZJcS65fc1TVGyotPFvyaYMu9nUeclomntObaElFQUkSWEEEIIIVaJIrKF7GTEPSgZD9EJMoyoIbL0cEgxQtF6yzv+5n6eS/1QNI4Ut9cuVTQgpRlFZAkhhBBCiFWiiGwRUkd/CvPbPJ3FSggpLbr410RgHV8AJftiAfmR83OGPhNISUURWUIIIYQQYpUoImsBOa84o09eI6v0bdv66DtmxS33riTKnrdOrJP6dcKZKRRDrztCrBdFZAkhhBBCiFWiiKwF6bsyl751hJD8o9dSyaM+pp38PtC7PDcUgSWk5KCILCGEEEIIsUo0kSWEEEIIIVaJUguKCfr5kxBC8ub4m/uITpDB0/lJni9sQQgpGSgiSwghhBBCrBJFZIspurBB6UInnxBCCCF5VywmskqlEklJSZBIJDrrpFIpUlNTtZYJhUK4ubnptJXL5UhOToazs3NhDZUQQgghhBQTFp3IhoWF4eOPP8aZM2cgEonAcRzGjx+PpUuXgsdTZT3MmDED27Zt05qcVq5cGRcuXNDcZoxh5syZWLNmDZRKJTw8PLBmzRr06NGjiPfIfIxFYilaSwghpintv3bQ5wQp6SyaIzt27FjExMQgLCwMiYmJ+PPPP7F69Wps2rRJq123bt0QGRmp+Zd9EgsAK1euxMaNG3Hx4kUkJydjypQp6NevH548eVKEe0MIIYQQQoqSRSOyT548wbBhw+Du7g4AaNy4MSpUqKB3ApqYmAh7e3sIBLpDXr16NcaMGYN69eoBAKZOnYo1a9Zgw4YNWLFiReHuRCEr7dGE0sKUyxYT01EUqnTp4l8TTMksPYxihV4DpLSwaER24sSJ2LFjBy5evIhXr15h48aNCAsLw/Dhw7XaHTx4EGXKlIG9vT1atGiBu3fvatbFxMTg1atXaNasmdZ9mjdvjr///rsodoMQQgghhFiARSOyn3zyCW7duoXWrVvDwcEBMpkMq1evRq1a76NSderUwbVr11CvXj3Ex8dj4sSJaN++PR48eAAvLy/ExMQAgCaqq+bh4YFr164Z3LZMJoNMJtPclkqlAAAl40HJzDu/VzIeGOPy1e+f4f9q/t/Fv6ZOv6ToFOQ4morjcYXWd2mS2zEqimNJCp/6OB4NfZCnOrI530tLImt7btNrsmT4sFpVACFFuk2LTmT79OmDpKQkREZGwtPTE9evX0eHDh3AcRzGjh0LABg3bpymvaurKzZv3gwPDw/s3bsXEydOBMepPvjlcrlW33K5HHw+3+C2ly5dioULF+osj0msgHSF0By7p8EYD4kpZQBw4ApQtDuwjq/W7egEmYGWpDCY6zgak/MYk/zJ7bVRFMeSFL78HsfS8Dqzts8Hek2WDP61vIF/inabFpvIRkZG4sSJEzh06BA8PT0BAI0aNUK/fv2wZcsWzUQ2Jzs7O/j6+uLly5cAAF9f1RtSVFSUVruoqCjNOn1mzZqFqVOnam5LpVL4+/vDQ/IMTo6GJ8D5ofqGyeDh/LRAV595fVukddvTmU5mK0rmOo7G5DzGJH9ye20UxbEkhS+/x7Ekv86Ov7lv6SHkC70mS4Y398w7fzKFxSay9vb24DgOKSkpWsuTk5Nhb2+vuc0Y00RdAdUE9fXr1wgKCgIASCQS1KpVC6dPn0b//v0BqKKxZ8+excSJEw1uXyQSQSTSfTPjcUrwOPP/vMtxLKvv/L9Ac57MQC/2omeO42gMnbBiHqYcn8I+lqRo5Oc4luTXmTU/n+k1af0s8dqy2ETW0dERPXr0wJw5c+Dh4YFy5crh1KlT2L9/PzZv3gxAlcfatm1bzJgxA9WqVUNoaChmzpwJX19fDBkyRNPXnDlzMGjQIDRq1AiNGzfG999/D6VSiQkTJlhq9woFnYVKiHH0GiGmKClVQuj5TooLzWuJkxtvWAgsmiO7Y8cOfPvtt5g5cyZiY2MRGBiI7du3Y/DgwQBUUdMff/wRy5cvx507d+Di4oLmzZvjq6++0roKWL9+/SCTybBq1SosWrQINWrUwIULFzQpC4QQQgghpOThGGMl9zeWPJBKpZBIJIh/Wq5QcmSjEyrB0/kJ/WRixYryOFp7pMhSTI1Q0WuyZCjocbSm11lJj77Sa9L66Hv9KDg5zisPIjExEU5OTkUyDqpzQQghhBBCrJJFUwsIIfplj75YU9SIEGJeJT0SS0hBUUSWEEIIIYRYJYrI5kHOyBh9UyakeKDXIskN/bJBSMlEEVlCCCGEEGKVKCKbDxT9IYWNokeG0euPmJux51RhvhbpuUxIwVFElhBCCCGEWCWKyOYBfXsmhBDrlN/375JyFTBCSiqKyBJCCCGEEKtEEVlCiiGqI6uLfhEhllTQPFp6/hJSOCgiSwghhBBCrBJFZIu57N/06Rt96UQ5eoQUb/TeTIjlUESWEEIIIYRYJYrIFlMUfSOlEUW2CCGE5AVFZAkhhBBCiFWiiCwhhBBCCMmT4lJdhyKyhBBCCCHEKlFEtpih3FhCCCEkd8Y+LynfvvSgiCwhhBBCCLFKFJG1IIq+EkIIIeZDkdjShyKyhBBCCCHEKlFElhBCCCFWh6KvBKCILCGEEEIIsVIUkSXESqijD5RbTQghpDhRfz61K1OtyLdNEVlCCCGEEGKVKCJLiJUpLldTIYQQQiyNIrKEEEIIIcQqUUS2CHXxrwmmZPm+vzr6RmdqkpKGntOEEHOgz0nL2vvoAdwqFe02KSJLCCGEEEKsEkVkCbFiOaMOlDNLCCnNKBJb+lBElhBCCCGEWCWKyBayjr61wPE4BNbxBRBh6eEQUqxQ9IQQQkhBUESWEEIIIYRYJYrImkFR5yXSWZkkp/w+BynHlhBCig/6fM87isgSQgghhBCrRBFZQkoAa/r2bk1jJYSQwka/hBUMRWQJIYQQQohVoohsDr0r1oCAExqNGtG3J0IIIYQQy6OILCGEEEIIsUoWj8hGRkbi3LlziI+PR0BAADp27AgbGxutNo8fP8a1a9cgEAjQuHFjBAcHa60/c+YM7t69q7XM3d0dI0aMyPe4rCHqmn2MlHdIzEH9PLKG5z8hhJQE2T+/6b037ywakd23bx+CgoLw66+/4uHDh5g1axYqVaqEsLAwAABjDN27d0ffvn1x+fJlHDt2DDVq1MCSJUu0+tm7dy82bdqEyMhIzb/Y2FhL7BIhhBBCCCkiFo3ILliwAIMHD8bPP/8MAEhPT0f58uWxYcMGfP3112CMYfz48ejWrZvmPnv27EH//v3x4YcfomLFiprlNWrUwPfff1/k+0BISUQRAkIIKXr062reWTQiKxKJYG9vr7ktFAphY2MDW1tbAACPx9OaxAJAy5YtAQAhISFayyMiIvDTTz/h119/xfPnzwt55IQQQgghxNIsGpHdsGEDxowZg7FjxyIwMBAXL15EvXr1MGnSJIP32b9/PwQCAWrXrq21PD4+Hnfv3kV4eDhGjRqFBQsWYNasWQb7kclkkMlkmttSqRQAwPE4cBxXwD3Tpu6T45m33+yUjM7bK2xKxgNjXKl5rJkMkMfwYMtjcOApIeUEEDuIkJ4hh6dEhMi4dMgzlLn2c/zNfa3bxeHxK23HsqSi41hy0LEsGZSMFfk2LTqRVSgUUCgUCA0NhVAoRGRkJJydnaFU6v9wvHfvHqZPn46vvvoKPj4+muUTJkzAunXrNBPQP/74AwMHDkTr1q3RqFEjvX0tXboUCxcu1Fnu/4E3bPgiM+zdexyPg0d5V4ADmLJwDnJ0giz3RqRAGOMhMaUMAA4cl/sEzpop/slExuwkIBVY4RIFDgADVH/FACcDmD2wr3p1hMD466U4PjdL07Esyeg4lhx0LEsGaZICwNMi3SbHmAWmzwDkcjkCAwMxePBgLF++HACQmZmJ2rVro1mzZli/fr1W+0ePHqFVq1bo3r07Nm3alGvU1MfHB59++ilmz56td72+iKy/vz9a83pBwAkLuHfaOB6HwNq+eH0notAmsjmjXsT8lIyHmISK8HB+Cl4JfaNlMiAznIfIwS5gKRwADowBHJdtIpvtLwDMQ1kkpGTCzlaI1DTV3+TkDPD4HLxdxVh+7C6cPdMttUt6lYZjWRrQcSw56FiWDAlSBo/KT5GYmAgnJ6ci2abFIrJv375FREQE2rVrp1kmFArRvHlz/P3331ptnzx5gjZt2qBr167YuHGjST/9CwQCTbqAPiKRCCKRbiSJKRkYZ/7JJmNM1XchTWTphV80OI6BxylL5OOddt0GUVMkYCnaP+2pX27qV13Ov1/jFZh91uQ266/MmQcbpRKcDEho54ib/cuj49x/C38n8qAkH8vShI5jyUHH0vrxCmH+lOs2i3yLWXx9fWFra4sbN25oljHGcOvWLa06sU+fPkXr1q3RuXNn/Pzzz+DxtIesUCjw+PFjrWVnzpxBWFgYWrRoUbg7QUgJoZACUZ9JsqKwgCreyjT/M/TX0FuWTY70oAq7o/HqkTNeP3RDVIQDbt4MQmKiGAopkPa3EArD3zkJIYQQgywWkeXz+fjuu+8wdepUPH/+HOXKlcOZM2fw/PlzbN++HQCQlpaGNm3aQKFQoHLlylixYoXm/h07dkSNGjXAGMOgQYMQHByMatWqITQ0FLt27cL48ePRtWtXS+0eIVYj7boNIidLgLTsXxI5Pf/Txun5f86/2f+v7C8CByAFArgjFW95LqqoLQCAwWVqMpxHpuZ3NwghhJRCFj3Za+LEiWjVqhVOnz6N2NhYDBs2DP369YOzszMAVYT2o48+AgBER0dr3TctLQ2AKoXg1q1bOHr0KO7cuYNatWph4sSJqFOnTpHuCyHWQikDFNF88D0VYDJkTWKzR2I5TaSVA6AEkC4QYsiH42AnVyBVwEOVhLeYfeYoxJmZ4MFw/mz2ZTnljNrGr3BAWlMewhI9ULHiWzhw6ch4LIRN5UzwiybVihBCiJWx+CVqq1WrhmrVquldZ2dnZ9JFDng8Hnr06IEePXqYe3iElChaebBiJTjGATLd+Gn2JWlCG8xv1weJdo5IBGAnTMfEIWeR2kwItoCDfWaGznYyeDzNRNVQtFZ7cqu6ldbXnqK1hBBCTGbxiSwhpGho8mBTs6aQ6Vy2HNf3kVh1FDZNIMTEHsMR6ShBpkAIQAk7YQb+Gr0QTuJ0IABIbytA1GsJPukSCHtbATZevI/Ed/YoG5iIhBgx4ntLYCOX5zlqqy9aq2ypRFK6PUR2MoT/54by9aOKXTUEQgghRYsmslZG5CSESKJbHiz0rYcFRlO6MHCIT7KHLN0dnMHTnIondgdQzueAdH3Zq+//r16SLhBifvu+eOPirmlhK8jE1033IyHeEQlwfH9PF8DOSwQGQKpwBOcCREtdABEQNs0VPj8k5Dtqm/1WQk8JOACpEMAV6YiDBOd7VEPdT0Pz9mDAuo8leY+OY8lhrcdS4pACiSP9WmRJFqsjW9xIpVJIJBK0Qs/CqSNbxxevbxe8jmxAS08EtPI008hIScaTK2CXIkMGn4dev/4FYaYy14ioOh92wEefIFUk1qwVQIH+ovsQ8fJeFodlKsElK8FEqgspyG04pMmEOC6sBmFGBn7dsxEiuW6ubc6xGYro/tqvGZiTQNN3RoYANvZKiJWZcH2XjDh3B8jFNnkeNyGE5KZF3ftoWa94lRa0pAQpg1ulkNJRR5YQUni838ShxZ/3YJOh0PnZXn/UU0WdD5sqstUsE0KBNjbP8zWJBQBOyANceKrt2anedBztlWiueIVzgvKY274vFp7ZrxW1zUuO7ZC9V3QmubKs+6uX3W4SjEd1yuZr/IQQQoovmsgSUgKoo6/pIgFsUzPQ4vhdCDO1J545J3vZ82Bj7ewhkcnwzs4+Kx9WFYXtZvMIjrwMCAqhyLUvPwkfie8hLUiIPSObQ5CiMDlamzNqm1POHNs6f4XgaZAXFBCCOfCATCUE7zIhdxeCs6O3QUKIeXX0rQUAOBlxz8IjKfnoHdzKRN2JR8KLZIPrfzgYUoSjKV1UOVwBcHEMLVY5XOwOoFzIAan6i10ZimTmzIPNHoW1FWRgcbN9qOv1qhBHbljjqMeYe6WP3mitWl7r2H7061VwUEV7hdmitfd6+OUrz5ZYXnF9TZK8s9ZjKXFIsfQQSj2ayFoZmTQTMmmmwfVj6/oCoG+BhUHJeBCJ3eDp/K7YXEJRIQXeLPQAdM41MJxlqpsHC2SP02pVJrCQAJ8YdKl+B1EpEkhmpyAh3B4S9xQkvlNVLXh1xwOOX2fmq46tMEe0ttbhMCiHZIJjfIidZQgNpzq21qI4viZJ/pTUY6mOzAL0uVxYaCJLiJUyfkUu3ZgkAwcO+vNg1W3shBnY0H2LRSexaiKBHAGSWACARKIaj7rclnfZZNzkBxWojm32/9NVxwghxDrRRJYQK6SUAVFTdK/IZSgmmSqwwZAPx8JOrtTKg33fpnhEYvOifo+Xmjq26mit2FmGkDfemHR9OFiKEr/u2WRSRYSc9NWxdeybSpFZQohJKPpadHi5NyGEFDeKaL7q6lyG4o0iBi4ra4DZcZjXvi8S7Zzw1sk5axKrbqtq72AjKzaR2LwQ28sRWDUWzp7pCKwaCy/fZDRtGILVvX+BwlmIue37Ik2oXXork/f+bc9YRQROqxWH2Ot2eP3QDekpAiREi/HPsUAkRItBCCHEcigiS4gV4nsqwIkZWDqgE4m1Y4jY6oTJZ4ZDnKDIEYF935aDEnZCGQ589CP8JXEQCeQW2x9zaxrwDDfHzdObYxsYmIi4GDsk9nbM01XHkr9wBAfgNc8DQqVSc1GGG/0roONcqiNJCCGWQBNZQqwU01ehwJ5BvojDhAtjkKy0AZzU0zRd9jYZWNdtK4Ldogt/sBZgNMfWLhlPZlaBx7KIXHNsc8p5sliF3dF41c8ZHOPDySkFic/s4VUrEZl2Ajx8VwZV3cOtLtJNCCHWgiayhFghRTQfSNc9yWtC92F48tAvR2v9P6DvG7ASFUroJNYUVTpI4dQ1CjGhjlo5trefBWHKzWHwS4jFz4e25ulksXioLqP7Fm7YUL8V9tRsBIBhZrPDGFfvQtHsGCGElCI0kS1hKMG85FPKAGUykPMHcAYObwSuWcsMl9/ioIS9jQwBkriiHHaxpM6xBd5Ha9t4PoLov0yEwQUpQhvYZmbk+WQxABh/8wJu+QYhytEJ24+3QCevu2BJfHgFJoLJgKh7EjhXS4FUZA9bvgzPE7woekuIlctebisn+nwuHDSRJcSKpF23QdQUSdaJXtmpSmtJZBlIFdlBf9xQxd5GhnXdtpaonFhzEgnkWNdtKyYcHYn57froXJAhM+uCCkDul8/9+dBWzWRXvkeklWPLAYiDJCty2xDqqTFFbwkhxHQ0kSXESqhLbrHU7CW3AGS7Dk6iSKSzTl1a6/zwJUhTiOBln0iT2FzkdrJYQowY8b0lJp0sllPOHNvxNy/gfFAlCBmHRJEI24+3QK+gW3ASpyPqtUSTd2tbSYaXSoraEmIpxqKtxHJoIkuIlXhfckuN0/mfRCbLutDB+3UOWRFYD4dkAIYvb0y0GT1ZzD4ZbxZ6wHYBzyyXz/199watifC7/RLEchKI5XJN3m0KBDhQvx4G1ZxIUVtCCMlCE9kSJuc3RsrJKTl4EgX0RWFVMVfVFbve2dlnLSu5pbWKC30XZHBySkHCQ3twc3lZkXMuT5fPVRMr9B+v8Tcv4FRwNfxwoQuaCx7DxzcBie/stbZPVRMIMY3687IwPyfpM7jw5Wsiq1AowOfz9a6TSqVwcqLL3xBibspEPvRFYYH3l51VX+zAVpiB9d1Lbmmt4kLfyWIufulIc7JB1OcSsGTdaWpecmz1Lfvtj/VgPA7i7QxxWdFa9V+qmkAIKW3yNZFt0aIFdu7ciaCgIK3lV69exdChQ/HixQuzDI4Q8l4yJ9SJ5gHA2J4jEebsmjWJtb5LzZZEto0yEHAhBopoPuT2HKIjJVo5tkopENXDFchxQQtjUVv1XxulQhWCzwVVTSDEcigSW3TyNZF1c3PDBx98gDVr1mDo0KGQy+VYtGgRli5diokTJ5p7jISUejcPB8FufibskKlZpo7QpduINJFYO2GGVV5qtiTiiQCevwJCAIGu2lFb2APeqxMMRm3T+QJwHCCWv08xMCVaS1UTCCGlTb4msocPH8ZPP/2E8ePH49ixY3j58iXevHmDY8eOoUOHDuYeI8kD+hZY8iQmimG7QA6xXDWJzRm1SxSJQZFY65M9asuTKKBMfB+9LReomvhGvZbAUZyCxAFOgAwA44xGa/NbNeFKQHl4pKYhxM0D317pgd6Vs6ompEjgLEpBgsxe89fLPhEyOeXfEutVmNUH6DO46OX7ZK9PPvkEYWFhWLp0Kfh8Pi5evIimTZuac2yElHpXQytg3q998XPmVs2ynFE3iSwdPEeGdd220qTCyqijtgDAd9KO3gLQ5N/arlZqordMBGQoBFrR2pzyWjVhx77Nmgnwhvqt0HzLXPB5DGlyEXJOk214GchQCkERXEJIcZCviWxCQgLGjRuH48ePY82aNbh06RI6dOiAlStXYty4ceYeIyGljkwuQGiiKyYcHQU+y9AbhVNXKtg+Zh38PakyQUmWPXrL91QgQ65dLcGcVRPUlREy+QLUjA1FiJtHVkk3FdUk9r1vr/RAl+C7UHJ8eNknAoBWJJfyb0lxQXVgS6Z8TWRr1qwJT09P3L59GxUrVsTEiROxfft2TJo0CceOHcOhQ4fMPU5CSo2roRUw4ehIJGfYonbEKyw6vU9vFE0mFCJtgQDVfd9YYpikiGWP3opFutUSzFk14fc/1mnyaNVRWlUFhOyt3v+/xbZ5ADiIBTJwgN5ILkVvCSGFIV8T2YEDB2Lx4sUQCt9/Mx8+fDhatGiBIUOGmG1whJQ20nQxxh8ZhdRMGwjlciw8s99gbqzP4Xdw8aMIF9FV0KoJhq4+9s7RBcZiuulyG6PjMiX/FlBFdCmSS8xNnb9qSv1Yc0Vv89sP5dqaLl8T2WXLluldHhQUhEuXLhVoQISUVldDK2RNYsUAAPdUqdZVo3JGzRxYJggxJD9VE3K7+tiG+q1w6IM62dIL8lIBV/XXWP6toYguRXIJIYbk+2Sv8PBw7N27Fy9evMCqVasAAOfOnUPz5s0NXiyBEKJf9kisCkOiSKw/9sUxcPYMfE+FJYZKSojsUVvwFAjv5QEm4wCmP5OWA8PHN89j/pJ9SGJiTFozHA8lvkgV2cF4Bq723wyl0GAdXEMRXUN5uE42aQhPcoRYLIY0w5YqKuRCKVNd6poTK5D5Ugibypngl8LrFxVmtJPycIteviayf//9N9q3b49KlSrh5s2bmonswYMH8eTJE0yYMMGsgySkJMsZiVXhIJGl649v2TJ4rUwET1SEgyQlUva8W6/Vie8jtELgfcli7YhqVBdXQA4sw95s+bMNAQBiQUa2iGpOeamEq7vMlDxcqqhgWNp1G0RNkYCl8JD9cXOZmgznkakWHh0h+Zeviez06dPx9ddfY/LkyeC49288Y8eOxYABA2giS4iJ9EViAQ5CeSZsM9Jz1ANV3fI7GgOBR5EPlZRwOSsjKN4BYZ08s9Zmi6xmK46hjtJ+OecQkt3s9VYt4DEFOu6ciXS5EAzqSVSOPk2K6KoYy8M1VlFBXx6utdXIVUdU1XWHc/5V/0qTs408ho/IzyRAqu7Jf/ErHGDfIRVQqu7PZEDG45ITrc0eIaW805IpXxPZ27dv49ixYwCgNZEtV64cQkJCzDMyQko4Q5HY2hGvsPDMfq38WPU6AGDpfACUVkDML3uEllcGcJmajPgVDllrDUdNE3s6wWVqMkQjVbPcAIkqJ1c9EdzYY7OmEoexqK3+dXnPw83+f3UkN7c83OIe0TUUUdX6K1aqkkDSDX8RUNF+vFRfWDhAyLIi8RStJdYjXxNZkUiE+Ph4ODg4aC1/8OABPDwoVESIMdlrxOqLxC48sx+2mklszggVwJPQJJYUDeeRqXDoloqwLsbzZwFVZM+hWyp4TroRwQbcC9z4aB6iIyXwCsyKiOqpg5t9HeeowIgdHyOa7wiJLAOJIhEkMhne2dkDANxTUzTLTFmXs41PaoLedULINffffrwFOnndBUvi6x2jvvHL5AI8feqDCoFvYS/L1MpH5UTmj6hqSX9/5TdduUe7keP80fgVDrBrlQpFTMmJ0GZH+awlQ74msj169MDs2bOxefNmTUT28ePHGDduHHr37m3WARJSkmSvEatN9TpyT03JEYnVjTApE/ngO9FklhQNgYfp+bNvOnqA4xuKCKr+vhW7aKKG8XAC8P5v9nUAH5uxVaeXNL4AHAeI5fI8rcvv/eV7ROAAxEECDsALvpemjXpZznXu8lTEQYJ4QHsEQgCZhh+b/EZUC5p/bKxNeA9PzTgoQkuKo3xNZL///nt06tQJbm5uUCqVCAoKwuvXr1G/fn0sWbLE3GMkeWBKfTxiGfrzYYHsH1aJIpscFT2ztaFqBcRCTM6fzeSQa1U4Y1FDPevUrwX1X1tFpmaNsXWGiBWGr4BnbJ1Z7l+Qx8aEihB5yz+GgbY5l70Xv8IBto1kEJQxPaJcnCsk5KwrS6xTviayrq6uuH79Ok6ePIlbt25BqVSiTp066NKlC5XeIkQPQ/mwOf/vpUzK+p9uhISzp2oFxHLymz9bFFFDva8Xi27d2EjM27sWMcuK6BpfxzkwOI9LQcJGe+2rvxmJtqv/RvR3R/4iyhTRJYUj33VkeTweOnfujM6dO5tzPISUCDK5AFEpEs1Z0PoqE2hHP5SwE2Zgb78fkbDLKdtyVRvf3bEQllPQJJYUG6bnzxYkami5+xfG1s21ZwADbAHn/VJIpfpzjI3lHzuXSUEi7GHXIw2vX3ho8nn5ngoopVAd03TO6Aj0MhpRNhzR5XsqwBigjFBAyQMUUuPR3rxEeU35dbIorvBlKvo1Ne9MnsgePHjQ5E579eqVj6EQUjJkz4MVC2RgjINMkb1kkG6ExcFGhs1+m5DQxxHaHxSq//McQJNYUuzo5M8aiwiqmRg1LK73T8+WR6tvHTjAVs86E+KpRu+ffV2KUIT5rfrgzt5AZJ9sGqvIYGwdrmZVaPC/AF7OY2p0D/IeUdYb0dVEchPxBu7QO5U3EO2lKC8xeSI7YsQIrduJiapvdwKBqgt51gtPIpEgISHBPKMj+Ua5spaRMw9Wu+al9hszByXshDIc+OhH+InjENnWBSyN09OWKhWQ4itn/iyQvzPzc1unNzLnxBAdFgxPvxAwKWfW7cvtOURH6kY2ywWqSovpi3qWC4yFNF2MjzZ8qqm2kCrgo3zsOyw4fwC2mRngQXVhs3SBEEM+HAc7uSLPFRne2dkjUyAEcsQ/jdXYNbYOUNXc7V35FpzE6Yip4giXE0lICLeHk1MKEh7ag5vLA0vVF6XNX0xZe3DGI7nG2hirllHcc3SJeZg8kc0+OV2zZg127NiBtWvXonbt2gCAO3fuYOLEiRg2bJjZB0mINTA1D1b911aYgfXdtyLYLRqZb/hZ9SH1t6VKBaQ4y54/C7z/v/o5m/OvsTZ5ub+S8cDz5YPnpP1lzxzbFwIIdFVNWp0907X+AkBgVf3rxPbJ+HrIPkw4OhJvRc4AGG7bOWJJh+6YfeoI7DMzkCa0wfx2fZBo54DErEleqshWEzV9K3DWLHv/V+WtkzPeK2iOrfbf5lvmgs9jeqO2DVs/04xfFbeGzt80vjBb1QftdQUdm7E2plTLoOhtycUxxnL9IpRTpUqVcPz4cZQvX15reUhICLp164bHjx+b1E9mZiY2bNiA48ePIz4+HgEBARg3bhzatm2r1e7MmTNYvXo1oqKiUKNGDcybNw/+/v55bmOMVCqFRCJBK/SEgBPmfoc84HgcAuv44vXtCDBlnh9us6Mobf4oGQ/RCZXg6fwEPE77YvHSdDGabJ6fFYnNWbAc0H5DVeXD/jV6oaZgvDwGeNNGz1ngWZUKAi7EUGqBGRk7lsR6FOfjqM6Tz37VMCbTzlHVd2UxQPuqY7Z8GR7F+mLi0ZFI0fv+UnRZukK53KQavdnb6ItIv6+HYIHc6C0KuAQazh92ckpB4jN7TBgThGQ3V9hEx0GQkVu5iYIpSZ/JCVIGt0ohSExMhJNT0YTAebk30fX69WvY29vrLHdwcMDr169N7mfq1KlYvHgxhg4dihUrVqBy5cro0KEDzpw5o2lz+vRpdO7cWVPaKyoqCk2bNtWkNpjahpDCcjW0QtYkVoz3L6nsEQPtn9IcbGTY0H2LZhKbdt0Gb7p65GibFcOwpUoFhFgjkUCOAEksnMTpCJDEQiSQQ2wvR2DVWEgk6VrrsrfJeT8Ph2S0CHyK9d23wMFGZnSbYkEGbAU5rwiY+zr971e6fzMFQrx1ckaqyFbv30yBUKdNop0jbvsHYX67PkgTaqc3sKy+0/hCpAuEWsty/tXXxtRxa7UZJUBcWwmUA97/fdHUCy+beUE5QID4zhKwyQKstXuDJtVd8PKzQYirX83A40aKg3xFZJs3bw5vb29s2LABrq6uAIC4uDiMHz8e0dHRuHjxokn9BAUFYejQoVi0aJFmWc2aNdGuXTusWLECANC4cWOUL18eO3fuBACkp6fDx8cHs2bNwowZM0xukxuKyJLc6Iv+GI/EaufBetpLNVEXkUCVU66UAaEtPcBS9OWeAf7noiGgi+WZXXGO5BHTlbbjmDPKa0pE19g6HlOg486ZSJcLwTTvX0BRR3TzckU299QUZHIM2/ZvgUieadKo8xvPBYAegz9DqkiMwDW/wybN+BeJ/CpJn8lWE5HdtGkT7t+/D19fX1SrVg1Vq1aFr68vHjx4gE2bNpncT+PGjfHXX39BJlM9OUJCQvDq1Ss0adIEAJCcnIwbN26gS5cumvuIxWK0bdsWZ8+eNbkNIYUh90isdh5s9qiLmiJanRurP3rA0qkuMyFEJWe01pSIrrF1fs4J2NhjM+yzIr35j+jm3saGl4lMgcDkSK6xNu8cXTC3fV9NhDedL0C6wPgpP7nFbA0tC46LATgOoeP7ITXAx+g2iGXkq45s5cqV8fDhQxw/fhwPHz4EAFStWjXPF0TYsmULRo4cCW9vb3h5eSE8PBwrV65Ev379AADh4eFgjMHHR/vJ4+vrq0k/MKWNPjKZTDOBBlQRWUAVPVVfdtdc1H1yPPP2m19Klq/vL6WekvHAGIe0TBuESyWYcNRQbdj3ebBXRn0NJ3G6wcecc2LQGw/gGDg7Bp4Ho+NVCNTHkh5b60bHseAa+z/HjbELEJXiBC971edgVIoTnEWpSJDZaf4aW2dKGy97KaTpYrTZ/hXS5ELkfi6B8bjpHd+y6DtokqaKA6A/omssR9eUiGyIq+onMSYQ4G3v1ij30x/gKcwb/S9Jz19l3n/kL7B8XxCBz+eje/fu6N69e743/t133+HChQv43//+h/Lly+PUqVOYNm0aqlevjkaNGiEzU5VgLRJpJwiKRCLNOlPa6LN06VIsXLhQZ7n/B96w4Zs3IZHjcfAo7wpwKBapBdEJhfPzSEnHGA8XX9bEkuvDs066yC5HJFYgx7etzyA9PRDpRmpSKiMUALLncmf1I+YgXOyEmDR3IM1MO0A0GOMhMaUMAA5cKfhJuqSi42g+YgCJyR6a/6ena/81ts6UNup1y9qcxqzzHbTeQ8V81a9U6QrDaX362qgjvGK+6rNef7UHddWIHph96jDsM3UjxoZqA2+o3wqp4qyKETwOSpENvBoGwS7dvG/KJekzWZqkAPC0SLeZ74nsmzdvcPPmTcTFxemsGzNmTK73l0qlWLRoETZu3IihQ4cCAJo0aYI7d+5gwYIFOHHiBNzc3AAAsbGxWveNjY3VrDOljT6zZs3C1KlTtcbj7++PN3cjCyVHFgx4fad45Mh6Oj+x9BCsUkKaHb6+NgxpcvXLxnBFAnUkNjeKTCAM7jn6AfyOvgPfI8as4yfvqSIgDB7OT0tFbmVJRcfR+nRxfoK2FS5rRW297KVQMh4eva2Fch7/QZohznO019C67G3YHCAq1AnObqlIjLXT/C0bEK+6f6gTJI6pkIbYgVdeiaOHa4OTK8HAAwclOJkcUTdemj0iW5I+k214VhKR3blzJ0aPHg1bW1s4OzvrrDdlIpuamgq5XA4vLy+t5Z6ennjw4AEAwMfHB76+vvj777+1Ir/Xr19H69atTW6jj0gk0oniAqqIKePMfyAYY6q+i8FElt7w805dIzZNru8KXe//byfMwIbuW+Bsm3utwrTrNoicLNHbD2QceBzVjS1MHMfA45T0erBydBytj60wA2Wd3wGA5r1SyXjwc5LC2TYVrnbJWuuyv5/mvJ8p6zRthEBQVVUbV69Urb/A+3Vu/qplG3ts1lyl0d5GBsnvl8BlKnK/eEMelaTnLq8Q5k+5yddEdt68eVixYgUmTpyY7w17e3ujcuXKWLt2LVq1agU7Ozs8e/YMBw8e1JoIjx07Fhs2bMDo0aNRtmxZ7Nq1C48fP9ZUKDC1DXlP37WjS9JZk+aW82pd+jOrdGvDGqOUAVFTJABdyYsQQoqlpgHPcHPcPESlSOBln4geiwunDJe+z2Q1+mzOXb4msu/evcPIkSMLvPHdu3djxIgR8Pb2hre3N16/fo3+/ftj3rx5mjazZ8/GixcvUKlSJXh5eSEhIQGbNm1CnTp18tSGkPwwfrWu95FUBxsZ1nXbatIkFsherUB/n3QlL0IIsTx1pQdSfOW7juz333+Phg0bmmUQ7969Q2xsLPz9/WFnZ2ewTUxMDMqWLQtbW9t8tzGkNNWRNUVp/xYokwsQmuiKvn98juSM3GvE+kvitMpq5UYhBUKb0pW8LKW01R8tqeg4lhzF9Vgai5ZaSnH+fLZEHdl8RWT79OmDgQMHYu7cuQgODtYpV9WsWbM89efu7g53d/ciaUNIbq6GVtDkRWkzXCM2r5SJfOjLjaUreRFCCCGmy9dEVn22/6hRo/Suz0eQlxQz6m+hxfmbX2HQnw8L6KtMYGo+bE5KGaBM1tc34Hc0hq7kRQghFlYcI7FEv3xNZNPSqLAlKXmM58O+/7+6MkF+JrFp120QNUWSIz/2fd+qK3lRbiwhhBBiinxNZMVice6NCLEiplYmsBXIcWXU1yaV18pJXamApWavVKDum6oVEEJIcaHv18icUVpT2hSG0vqLqSEmT2RPnDgBAOjUqZPm/4Z06tSpYKMipAjlpTLBN63O5isSCxirVPD+/1StgBBCCDGdyRPZbt26AQDkcrnm/4bI5aafvU2Kt5JY304mF2jqAsrkAiORWO3KBGWcEpCYXD7f21VFW3WjsNmrFfA9aRJLCCHFmbV+9pVUJk9ks09OaaJKrFX2igRigQyMcZAp9F2tS7cygepymPlnqFIBAHD2VK2AEEIIyat85cgSAljfFcJy5sGma11uVjsSW9DKBPpwYv0RWd/dsRCWU9AklhBCirHi/PlWmhUsxESIlbgaWgFNNs/PyoNVP+056ObCFrwygT5p123wpquHnm1y4DmAJrGEEEJIPlBElpR4plUkKLxIrLpaAdKyVyugSgWEEFISWKrmbPbtluZoMUVkSYlmOBKr/qt9VToHG5lZI7FA9moF+qK/XFbuLCGEEELyKl8R2S1btqB///5wcHAw93iIFSnO3wBlcgFCE10x4ahpFQk87aVIkNnDyz4RIoF5T2bUnxtLlQoIIaQoFTRyWpw/80pzbdl8RWSnT58OHx8fjBo1CleuXDH3mAgpkKuhFVB/4yJ03DELyRmGIrHaFQmcxOkIkMSafRJrODcW4GypUgEhhBBSEPmKyEZERODgwYPYsmULWrZsiQoVKmDkyJEYNmwYfHx8zD1GQkymPx8WKOw8WH1yy431OxoDgUehbZ4QQkotS+Wt5mQsQloYYzTl6mMlTb4isiKRCAMGDMDJkyfx6tUrDB48GBs3boS/vz+6d++OgwcPQqGgn0tJ0TK1MoG5KxIYkltuLEun3FhCCCGkIApctcDf3x+9e/dGXFwcfvrpJ9y4cQNnz56Fr68vfvnlFzRp0sQc4yTFUHGqI2taZYKiicSq6b+SF+XGEkKINTKUh1qco56lobJBvqsWJCYmYv369WjQoAFq1aqFR48e4ddff0V4eDgiIiLQt29fDB061JxjJUQvUysTFEZFAmPeX8mLcmMJIYSQwpCviOyQIUOwf/9+uLu7Y+TIkdi7dy8CAgI0652dnfHNN99g+fLlZhsoIfoYj8RqVybwl8SZ/WQuQ5QyQJmsHg9AubGEEFL4iktubHFUUisb5Gsim5qair1796JTp07g8fQHdfl8Pu7cuVOgwRFizNXQClmTWHG2pYYrExSVtOs2iJoiycqPzU41JlVuLKUVEEIIIQWVr4ns/v37TWr3wQcf5Kd7QowypUZsUefDqqkrFbDU7JUKgOwRWbqSFyGEFA51tLEwI7PmimwWxVhLA7pELbEqV0MrYMLRkUjOsM2xxjKVCXJ6X6kg57je/1+ZyAffiSazhBBCSEHRRJaYVWHWsCtONWIN0V+pIOv/VK2AEEJKhbxEbfW1sYaIcnFBE1liFYznw77/v6UisWrvKxVojwsAOHuqVkAIIYSYE01kSaHKb61ZmVyAqBQJvOwTIZMLil2NWEM4sf6IrO/uWAjLKWgSSwghVi6/UVZSOGgiS4qd7HmwYoEMjHGQKWyytch5pSxVjdh13bZadBKbdt0GkZMl0BeR5TmAJrGEEEKImdFElhQ5Y/k5OfNg0+XZJ7DFo0asPupqBUjLXq2AKhUQQoi5WPrs/pIWZS0pV/2iiSwpNkzNg7VkjVhDDFcroEoFhBBCSGGhiSwpFoxfoQsoTpUJ9NGfG0uVCgghhJDCpP+yXIQUoauhFdBk8/ysSKz6KZk9oslptXewkVm0MkFOaddt8KarB7THqvrL2VKlAkIIIaSwUESWWJTxSKx2HqynvRQJMnt42SdaNB+WyYDMGD74ngowGVQneBnIjfU7GgOBh6VGSgghhOTOmmvL0kSWWIzxnFj9ebCWjsIq/snEmzluqnxYsRIc4wCZ4Txels4HQGkFhBBCSGGgiSwpcko+H5kSe0w4+pHBSGxxyoNVylQnc0HEkDErCUjPmqymc5qsWJ3xU24sIYSUeqbUUrd0NQbAcCQ2v7XgixJNZEmRSg3wwdveraEU2QAZ2ddoRzItfYUutbTrNoiaIsmqSJD9ZK7sf3WXUW4sIYQQUvhoIkuKjNxGiIg+bcBs+FlLil9FAnX0lSdRQB7DR+RnEiCVy9HKWEUFBtgx+J+OAd+pCAdOCCGk2MkevVRHN4tDBDY3xsZY3PJpaSJLikRqgA8iercGsxFmW6ob0bRkJFY3+ppzApszEptzPcA5qCKxNIklhBBCCh9NZEmh00RiBeqnm76IpmUiseoILCdW5Kg+oGYg6pqVBws7Bt9f4yDwUKgueuCpoHQCQggpgYpbJNKc8hMlLi5XBqOJLClUxiOx7yeNDjYyrOu2tUgnscYjsMbyYLNu2auir6LyqhO66MpdhBBCSNGiiSwpNEo+H297twYTZk1iGQM4/TVi/SVxRVobVilD1iTWWP6rnjxYWw5+R98BMo6ir4QQUoTycmZ9cVGcx1ZS0ESWFAoln490H3dVdQI1zniN2HxtJ9vJWcpE3b/q8lc522Q8FmZFYjWD0/9XxMBxHFi6KgIrXOwEvkcMeBxFXwkhhBBLs+hE9unTp1AqlTrLnZ2d4e3tbXKbqKgoxMfHa60XiUQICgoqhFGT3GiV2GJZEU2Oex+RVTJwmZn46+OC5cPqTw3I8VesBAcOLF3POmP5r1nVBwJOx4ATZU2EPRhi0tzzPV5CCCGli7HcUYrWmodFJ7IDBw5ESkqK5rZCoUBISAimT5+O5cuXm9xm/vz52LVrF3x9fTXtKlasiMOHDxfRnhA13RO7dNmkp6HqwTNwmJKe74iq4dJYOWhdtMB0OasP8PwVUDIekJaPzgghhBBSKCw6kf3nn3+0bh84cAB9+vTBkCFD8tQGADp06IC9e/cW3mBJrvSe2MVxWv+vHfEKi47vhh2nxOtmHrlES3OLqGZnqDSWsRO4dNf57o4FzwGU/0oIIYRYgWKVI7t582Y0aNAANWvWzHMbxhhCQ0MhkUggkUgKe6gkB7mNEBG9W0PAcXCXJiDRRgRJhgzvbO0BAO5pKUjl8bHo9D6IkZUqYkq01GibXFIDTEkfUK/LuqSssBxNYAkhxBrQT/OWVVzKkBWbiWxERAROnDiB9evX56vN/v37ce3aNcTFxaFixYpYt24dmjZtWphDJllSA3wQ0acNPngXjoVn9sM+M0MzVUzjC8BxgFgufx9H1QRCTYmW5i2iqkPMsiK6xtepS2nRJJYQQgixHsVmIrtt2zbY2trio48+ynObpk2b4osvvkCFChWQnp6OyZMno2vXrnjw4AH8/Pz09iWTySCTyTS3pVIpAIDjceA4A5OifFL3yfHM229xoOTz8LZ3awgALDyzH7aZGVrrxYpsJbU0M1lTo6V5iKiCAbYMfkdjoZTxwHdSQiHlQeChiv7KY94v07dO4KEEJ4IqD9bQvjIeGOOMtiHWgY5lyUDHseTIz7G01GequZ5v1j4n0Pc4KFl+zkopmGIxkWWMYcuWLRg4cCAcHBzy3Gbo0KGa/4vFYqxZswa//fYb9u/fj8mTJ+vtb+nSpVi4cKHOcv8PvGHDN29YjuNx8CjvCnAAUxb9QS5MqWJbhIhs4CVNgH22SazemKlOJNaEaKs46296LuvsOdgsdkKs0B0QAlACcMD7k7Mcsi3Tty4NuZ7IxRgPiSllAHDgON1KGsR60LEsGeg4lhz5OZaBdXxzb1QIohNkuTcygaXGby76HgdpkgLA0yIdR7GYyF64cAHPnz/Hb7/9VqA2ajY2NvD29kZoaKjBNrNmzcLUqVM1t6VSKfz9/fHmbiQEnNDg/fKD43EAA17fiShxE1klnwde3QZ4J7ZHitAGtpkZ0CqGla36lt5LvNoy+P4aD76HdrQ0fxHVmMLdV6baMw/np+DRh6ZVo2NZMtBxLDnycyxf3y7aXLDjb+6bpZ8u/upzfCLM0l9RM/Y42PBKaUR28+bNqFWrFurXr5/nNowxKBQKCLKVe3rz5g1evXqFihUrGuxPJBJBJNJ9ETAlA+PMfyAYY6q+S9hEllMq4HPgPN72bo357fpocmTVMrLmrPrebjSXeA1WpR8IJEq9fwGA75/7uqLAcQw8TkkfmiUAHcuSgY5jyZHXY1nUn6fmeo5Z+zzA2OPAK4T5U24sPpFNSEjA/v378d133+WrTWZmJho1aoQpU6agWrVqCA0Nxbx581C+fHkMHjy4MIdOstiFvkXQmj8Q72CLL9I8IbHlIy05A04sEzue/wdAf61YKnFFCCEkr6y1WoG1jlutuFQpyMniE9mzZ8+iXLlyRiedxtrY2Njgt99+ww8//IDVq1fDxcUF/fv3x9SpU2Fvb1+YQyfZ8BQK8BKTAQCJGaoI6zsINBNVnr/qwgZ8J+2/hBBCCCH5ZfGJbN++fdG3b98CtalUqRI2btxo7qGRfCiu39gIIYQQfQrjc8vao6/WhGqWEEIIIYQQq2TxiCwp3gr6TdXYt1KK3hJCCDGVuaOc9BmUNzkf/+Ly+FFElhBCCCGEWCWKyBIA5vtmRRFYQgj5f3t3Hh1FmfZ9/NdZaAwGYiKELQlbWILoK6uoD8wgTHAQxIXBASVikOPGDDJjMIo6gCzuqCieMywKeERQloBBcDBqFJFF1rAJIyGA7EtkC5C+3z940g9NEuhOOt1dne/nHM+h7rr67qpcVuqqK9XVCGS+OBe58x7cR+sddGQBAABgSXRkKzFvXpVyZQkACGSB9ldBT7cnUM6zV9ru+1vcIGmH7zZGdGQBAABgUXRkAQBAwLu8E1hShzLQuq7BJFB/tnRkAQAAYEl0ZC8zb/tGVY8MdSs2UO5XcZe3r6astv8AgOARqB1Cd1nhHOruz9i5L7YLFbg1JaMjCwAAAEuiI1sO7l6pOEyIDh4vUK2obQqxOUqMqagrM39/h7TVr5gBAPAmf3Vig/V8TEcWAAAAlkRHNkC482nM8szna/5+fwAAKht/nXuL3rdrvZY+f286sgAAALAkOrJlcKVuqbeuhgKxo+lOlzgQtxsAAH/j8yUVg44sAAAALImObBkUXSmVdHV1+RhXVQAAVE5WeFasN/AcWQAAAMBDdGTL4Uqd2SLJdW+SLcSmhNZ1lfuzXcZhLNWl9fRqko40AAClu9J50Uod3EDZVjqyAAAAsCQ6sl5w6dWVO1coRTGVoVt56c+jMuwvAKDyKu9TjQL5PBkoHdjL0ZEFAACAJdGRvcw9TVspzBbuXPb06sid+2aLlBQTKFdj3rryCpT9AQCgogXbOS9Qu7CXoiMLAAAAS6IjexVlvcfz0liHCdHB4wV6uJXdq9tWEaxw9QUAAEoXyH/x9TY6sgAAALAkOrIeKO/TBjLzNijE5vDmJgU8T68KK9MTHQAA8JVgPb/SkQUAAIAl0ZGFz5X1iQ5Fgu1qEgAAb7rSE5SC7bMwdGQBAABgSXRkIclaV2jBep8PAADwDB1ZAAAAWBId2UrMSl3YS9GJBQDg6i49X1r1nH81dGQBAABgSXRkr4LuX+AgFwAA4FJ0ZAEAAGBJdGQvM2/7RlWPDPX3ZgAAgErO02/HrIzoyAIAAMCS/NqRHT16tAoKCoqNt23bVr1795YkZWRkaOXKlS7rY2NjNWTIEJexY8eO6bPPPtOBAwfUqlUr9erVSzabrcK23cqs+slFvu0LABAsynoutuo5vKL4tSNrt9tVtWpV53+///67xowZo9zcXGdMZmam5s+f7xJnt9td5snNzVWrVq00ffp0HTlyREOGDNHdd98th8Ph610CAACAj/i1I5uWluay/Nprr8lut+uhhx5yGW/evLlGjBhxxXni4uKUlZWlsLAwPfXUU2revLlmz56tBx54oEK23Yq4igMAwL84F3tXQN0jO3XqVN13332Kjo52Gc/NzdXYsWP13nvvaf161z8hX7hwQQsXLtRDDz2ksLCLdXnjxo3VqVMnzZ0712fbDgAAAN8KmKcW/PDDD9q6dasmTZpUbF1ISIiOHz+unJwcDRs2TE8//bTGjx8vSdq9e7fOnDmjJk2auLwmMTFRP/74Y6nvV1BQ4HJ/bn5+viTp3uY3KswWrsy8Dd7YLUmSw4TIGJscxvfXDX+Ou9H5b1tAXbaUXUm58cXP1p95hHeRy+BAHoNHZcrl4r0bXZYvPU9bnc1mk3x8V2fAFLJTpkxRYmKi/vCHP7iMDxs2TE2bNnUu9+/fXz169NCdd96pzp0769SpU5Kk6tWru7yuRo0aznUlGTdunEaOHFlsPO7/1VaVULsOHi/+IbSyMiZEJ07Vk2STzebbDCe0ruvT9/MFb+bGE/7MI7yLXAYH8hg8KnMug+k8fd5xTlrj2/cMiEL25MmTmj17tl588cVi6y4tYiXpz3/+s+rVq6dvv/1WnTt31rXXXitJOnHihEvc8ePHnetKkp6ermHDhjmX8/PzFRcXp7x1+xVmC1etqG3l2SUXF68wjWpGbVeIjw/Q3J/tVw+yGG/mxhP+zCO8i1wGB/IYPCpzLoPpPF1ou+Dz9wyIQnbWrFk6d+6cHn74YbfiHQ6Hzpw5I0mKj49XRESEtm/fruTkZGfM9u3b1bx581LnsNvtxZ5+IEnGYWRsxusHku1/5/T1AWocxqfv5wv+/CXnrzzC+8hlcCCPwaOy5jKYztPG5vt9CYibUaZMmaJevXqpVq1aLuMXLlzQqlWrXMbmz5+v3377TXfccYckKTQ0VHfffbemT5+u8+fPS5K2bdum7Oxs3X///R5vy7ztG3kmaYBLrnsTn/oEAFga5zLv8HtHdvPmzVqxYoWWLFlSbJ3NZtPTTz+tiIgItWzZUrt379aiRYs0fPhwde3a1Rn3yiuv6H/+53902223qW3btpo/f7569+6t++67z5e7AgAAAB/yeyGbn5+vcePGuRSmRUJDQ/X999/ru+++09q1a3XzzTdr/PjxSkxMdImLi4vTxo0bNW/ePB04cEBTp05VcnJywH+z16VXYhXVBfZXd5mrTAAASufp+Znzasn8XsjecsstuuWWW64Y06lTJ3Xq1OmKMZGRkRowYIA3Nw0AAAABzO+FbKC5p2krhdnCfdLJDOZ7ca+0b1e6qizpdaXFlzQezD9TAEDldfn5jQ7tRQHxYS8AAADAU3RkPVB09UPXz/v4mQIA4D5P/oIZzOjIAgAAwJLoyFqI1TvCFbn9Vv2ZAADgLUXnwsrUmaUjCwAAAEuiI1sGvuyMlnRVZYXObHmvBivT1SQAACgbOrIAAACwJDqyHrj83hN/dUYDuRNbxArbCAAArI2OLAAAACyJjmwprtRtLa0zWxpbiE0Jresq92e7jMO41a2s7PeIuvN8PLq+AAAUV5meMUtHFgAAAJZER/YqSrqCKbrSuVJHsKTXZeZtUIjN4fH7lRZT2TqSlW1/AQDAldGRBQAAgCXRka0gl3YPHSZEB48XeP09Lu3e0q0EAAClubxOCJZ7ZunIAgAAwJIoZAEAAGBJ3FpQBjwGCgAAWNmltYuVbzOgIwsAAABLoiN7mXnbN6p6ZKhHVyeefiFCkfJ2cukEAwCAyoyOLAAAACyJjqwfudP1pesKAAC8zcr3xV6KjiwAAAAsiY5sgKEDCwAAKhpPLQAAAAD8iI7sZe5p2kphtnB/bwYAAACugo4sAAAALImOrB9wHywAAED50ZEFAACAJdGRrWBL9q2Xw4To4PEC1YraphCbw9+bBAAAEBToyAIAAMCS6Mh6Afe8AgAA+B4dWQAAAFgSHdmroNsKAAAQmOjIAgAAwJIoZAEAAGBJFLIAAACwJO6RLQX3xgIAAAQ2OrIAAACwJL92ZFu2bKlTp04VG3/wwQf18ssvS5J27typCRMmaPny5QoLC9Ptt9+u9PR0XX/99c74559/Xh9//LHLHM2aNdOSJUs83qZ52zeqemSox68DAACwiuS6N/l7E7zCr4Xs4sWL5XD831e2rl69Wn369FHHjh0lSYWFherRo4eGDBmigQMH6vTp00pLS9Mdd9yhlStXym63S5KOHDmipKQkvf/++865qlSp4tudAQAAgE/5tZCNj493WR4/frzq16+v7t27S5JCQ0OVk5Oj0ND/65B++OGHatasmVasWKHOnTs7xyMiItSgQQOfbDcAAAD8L2DukT19+rQ++eQTpaamuhSul/5butilLWk8OztbSUlJ6tixo9LS0nTixImK32gAAAD4TcA8tWDOnDk6efKkHnnkkSvGjRgxQo0aNVL79u2dYzExMRoxYoQ6d+6svXv36vnnn1dmZqbWrFnjvP3gcgUFBSooKHAu5+fnS5IcJkQO49363mFCZIzN6/PCt8hj8CCXwYE8Bg9y6Xu2EJv357TZJMfV47wpYArZKVOmKDk5udjtBpcaMWKElixZom+++cblHtjRo0crJOTi//w33nijbrrpJjVo0ECzZs1SSkpKiXONGzdOI0eOLDZ+6ESizhaGl3NvXBkTohOn6kmyyWbzcYbhNeQxeJDL4EAegwe59L2E1nW9Pud5xzlpjdenvaKAKGR/+eUXZWdna+7cuaXGvPzyy5owYYIyMzPVtm1bl3VFRWyRunXrKiEhQZs3by51vvT0dA0bNsy5nJ+fr7i4ONWs8YvXn1pw8QrTqGbUdoVwgFoWeQwe5DI4kMfgQS59L/fnkv9iXR6Ftgten/NqAqKQnTJlimJjY9WzZ88S148ZM0bjxo3TF198oU6dOl11vrNnz+q3335TdHR0qTF2u73E2w5CbA6F2Cqi3W7+d24OUCsjj8GDXAYH8hg8yKVvGYfx/pw27895NX4vZC9cuKDp06dr4MCBCgsrvjnjx4/XuHHjlJmZ6fKUgiLnzp3T8OHDlZ6erlq1aunkyZN68sknZYxR3759fbELAAAgCFzp2ap842dg8vtd1ZmZmdq/f79SU1OLrTt69KjS09MlSSkpKWrQoIHzv08//VSSFB4eriZNmqht27aqWbOmYmJitGPHDmVlZfE4LgAAgCDm945sp06dlJubq7i4uGLroqKi9Ouvv5b4uqJv9rLZbHryySf15JNP6siRI6pevbrCw737YS0AABCc3P2Gq4r6JqySOr3lfa+KmDNQ+b2QjYqKUlRUVInrQkJCPOqqxsTEeGejAAAAEPD8XsgCAAD4WqB0KCtiOwJl33zB7/fIAgAAAGVBRxYAAAS9ytSlrEzoyAIAAMCSKGQBAABgSRSyAAAAsCQKWQAAAFgShSwAAAAsiUIWAAAAlkQhCwAAAEuikAUAAEFvyb71WrJvvb83A15GIQsAAABLopAFAACAJVHIAgAAwJIoZAEAAGBJFLIAAACwJApZAAAAWBKFLAAAACyJQhYAAACWRCELAAAAS6KQBQAAlQbf8BVcKGQBAABgSRSyAAAAsCQKWQAAAFgShSwAAAAsiUIWAAAAlkQhCwAAAEuikAUAAIAlUcgCAACg3D7bssnn70khCwAAAEsK8/cGAAAAwLqKvinteL7v35uOLAAAACyJQhYAAACWRCELAAAAS+IeWQAAUGkk173J35sQFIrui/U3OrIAAACwJDqyAAAAcEugdGKL0JEFAACAJfm1I/vjjz+qsLCw2Hjt2rXVpEkTl7G8vDwdOHBATZs2VfXq1Uucz50YAAAABAe/FrIvvfSSTp8+7Vw+d+6cVq1apfT0dI0dO1aSdPbsWfXv31+LFy9WQkKCcnNz9corr2jIkCHO17kTAwAAgODi10J26dKlLsuffPKJ+vXrp5SUFOfYyJEjtXLlSu3cuVN16tTR/Pnzdc8996h9+/bq0KGD2zEAAAAILgF1j+yUKVPUqVMnNWvWzDk2bdo0DRo0SHXq1JEk9e7dWzfccIOmTZvmUQwAAACCS8A8tWDXrl36+uuvNX36dOfYvn37dODAAbVp08Yltn379lq7dq3bMSUpKChQQUGBc/nEiROSpOO/Sw5jyr0/l3IYo/zfL6hKiFGIzbtzw3fIY/Agl8GBPAYPX+Ty/hY3XPyH7UKFzF9ZHM8vPT8nfr+4zni5jrqSgClkp06dqqioKN1///3OsaNHj0qSYmJiXGJjYmKc69yJKcm4ceM0cuTIYuMN2/y3bDtwVdsraF74FnkMHuQyOJDH4FHRudxRwfNXDjHNrh5z5MgR1ahRo+I3RgFSyDocDn344Yd68MEHVbVqVed4eHi4pIsf5rrUmTNnVKVKFbdjSpKenq5hw4a5bMPRo0cVExMjm81Wvh26TH5+vuLi4pSXl8fTFCyMPAYPchkcyGPwIJfB4cSJE4qPj1d0dLTP3jMgCtmlS5cqLy9Pjz76qMt4XFycQkJCtHfvXpfxvXv3Kj4+3u2YktjtdtntdpexqKiocuzF1VWvXp0DNAiQx+BBLoMDeQwe5DI4hIT47iNYAfFhr8mTJ6tDhw5q1aqVy3hERIRuvfVWZWRkOMdOnTql//znP+rWrZvbMQAAAAg+fu/IHj58WAsXLtT7779f4vqXX35Z3bp1U3p6ujp27Kh3331XtWrV0uDBgz2KAQAAQHDxe0d2+fLl6tixo/r27Vvi+s6dOysrK0u5ubl6++231bJlS33//fe69tprPYrxJ7vdrpdeeqnYrQywFvIYPMhlcCCPwYNcBgd/5NFmfPmMBAAAAMBL/N6RBQAAAMqCQhYAAACWRCELAAAAS/L7UwusyhijPXv26ODBg0pMTCz1uXcHDhzQ7t271bBhQ11//fVljkHFOX36tH755RdFREQoMTGx2Prly5fL4XC4jDVs2FD16tVzGSssLNSmTZsUGhqqpKQknz5Hr7Jav369zp8/r7Zt25a43p2ceCsGZXfkyBFt2bJFzZo1U82aNUuM2b9/v/Ly8tSoUaNi3+SYl5en3Nxcl7GwsDDdcsstHs2D8lu3bp0KCwuLfW28JzEXLlxQTk6OwsLClJSUVOKXFLkTg7Jz55i8UoxPj0kDj23fvt20a9fO1KxZ09x0000mMjLSvPXWWy4xDofDPPHEE8Zut5ukpCRjt9vN8OHDPY5BxRo7dqypVq2aadWqlalTp45p06aNycvLc4kpys9tt93m/O+TTz5xiVm1apWJj4839evXN7GxsaZJkyYmJyfHl7tSqUyaNMm0bNnSXHfddSYhIaHEGHdy4q0YlM3WrVvNgAEDTJ06dYwkM2PGjGIxhYWFZvDgwS6/J5977jmXmNGjR5vIyEiXY7R79+4ez4OymzhxoklKSjJRUVGmcePGZY756aefTP369U1cXJyJjY01TZs2NVu2bPE4BmXjzjHpTowvj0kK2TJo166dSU5ONmfOnDHGGPPzzz+bqlWrmqysLGfMBx98YCIjI82mTZuMMRcPvCpVqphPP/3UoxhUnC+++MKEhISYZcuWGWOMOX/+vOnfv7/p3LmzS5zdbjcLFy4sdZ6CggKTkJBgUlNTjTEXD8577rnHtGzZ0jgcjgrb/srsH//4h9mwYYMZPXp0iYWsOznxVgzKbt68eWbatGnm9OnTpZ4QJ06caGrUqOEsVJYvX27Cw8PN559/7owZPXq06dChwxXfy515UHbDhg0zGzduNC+99FKpRerVYs6ePWvq169vBg8ebIy5eLz16tXL3HjjjR7FoOzcOSbdifHlMUkh66H8/HwjycyePdtlvEuXLuavf/2rc7l9+/bm4Ycfdom56667THJyskcxqDjDhg0zSUlJLmPfffedkWS2bdvmHLPb7ebf//63WbVqlTl06FCxeTIzM40k8+uvvzrHVq9ebSSZH3/8scK2H6bUQtadnHgrBt5R2gmxdevWZtCgQS5j3bt3Nz169HAujx492rRp08asW7fObN261Zw/f75M86D8rlTIXi0mIyPDSHL5q9iKFSuMJLNq1Sq3Y+AdpR2T7sT48pjkRi8PRUREqGrVqtq7d69zzBijffv2ac2aNc7l9evXF7v/p3379lq7dq3bMahY0dHROnTokM6dO+ccK8prUS6LpKWlKTU1VXFxcerRo4f279/vXLd27VrFxMSoQYMGzrHWrVsrNDSUXPqJOznxVgwqTmFhoTZu3OjW78m1a9eqX79+uuOOO1S7dm3NmDGjTPPAf9auXavY2FjVr1/fOda2bVvZbDaXY/JqMQgMvjomKWQ9FBoaqqeeekqjRo3SpEmTtGTJEj3yyCPav3+/jh49Kkk6deqUCgoKit20HBMT41EMKlZKSorOnz+vvn37avHixfrwww/1r3/9S6GhoS45mDhxog4fPqz169drx44dysvLU0pKinP90aNHi+XRZrMpOjqaXPqJOznxVgwqzu+//67z589f9fdku3bt9N///lc5OTnas2ePRowYoYcfflgrVqzwaB74V0nHW2hoqKKioq54TF4eA//z5TFJIVsGr776qt566y1lZWXp9ddfV1JSkgYPHqxrrrlGkhQeHi5JOnv2rMvrzpw5oypVqrgdg4pVv359rV27VvHx8ZowYYKWLl2qjz/+WA6Hw5lLSRo0aJDzU+r16tXTiy++qKVLlzoPtvDw8GJ5lMilP7mTE2/FoOK4+3syOTlZCQkJzuWhQ4cqMTFRc+bM8Wge+Fdpx9vZs2evekxeGgP/8+UxyeO3ysBmsyklJcWlK/enP/1JN9xwg6SL3zUcGxvrcvuBdPHP1vHx8W7HoOI1aNBAb7/9tnN5+fLlMsY4c1mS2NhYSdK+ffsUHR2thIQEHTx4UOfPn3cenPn5+Tp58iS59BN3cuKtGFScatWqKSYmpky/Jy/9/VqeeeA7CQkJOnDggAoLCxUaGirpYgf2zJkzLsfk1WIQmCrqmKQjWwZnzpxxWd66dauysrI0YMAA51i3bt20cOFC53JhYaEWLVqkbt26eRSDinV5LidNmqQWLVqoXbt2ki7eAnK5pUuX6pprrlGjRo0kSV27dlVBQYG++uorZ8yCBQsUFhamP/7xjxW49SiNOznxVgwqVkm/J7/44guX35OXH6eHDh3SunXrXC5I3ZkH/tW1a1edOnVKy5Ytc44tWLBA4eHh6ty5s9sx8D+fHpMefTQMxpiLz7B8/PHHTWZmppk6daqJj493eWKBMRefsxYZGWlSU1NNRkaGeeCBB0xMTIzZvXu3RzGoWLfeequZPHmy+fLLL01qaqqJjIw0K1eudK6fOXOmueuuu8xHH31kFi9ebJ555hkTHh5uXn/9dZd5Hn30UVO3bl0zY8YMM3XqVBMdHW3S0tJ8vTuVxoYNG0x2drZ59NFHTe3atU12drbJzs42Z8+edca4kxNvxaBsjh8/7sydJPPCCy+Y7Oxs88svvzhjcnJyTLVq1czgwYNNRkaG6dOnj6lZs6bZs2ePM6Zdu3ZmzJgxJjMz00yfPt3ccMMNpkmTJubIkSMezYOyKzomBw4caOrVq+fMa0FBgUcxAwcONPXr1zczZ840kydPNlFRUcWeLepODMrGnWPSnRhfHpM2Y4wpe81dORljNG3aNM2dO1d2u129e/dW//79i33bT05Ojt544w3l5uaqcePGSktLU5MmTTyOQcXJzc3V+PHjtWPHDrVs2VJ///vf1bBhQ5eYr7/+WjNnztTevXvVsGFDpaSkqGPHji4xFy5c0KRJk5SZmamQkBDdfffdLvfWwruGDBlS4idbP/vsM9WuXVuSeznxVgzKZvXq1Ro6dGix8Z49e2r48OHO5Y0bN+rNN9/U7t27lZiYqLS0NOdfRCTp2LFjmjhxon766SdFRESoffv2euKJJxQREeEy79XmQdk98cQT2rBhQ7HxefPmOb/1yZ2YCxcuaOLEifryyy8VFham3r17KzU11eWbu9yJQdm4c0y6E+PLY5JCFgAAAJZESwEAAACWRCELAAAAS6KQBQAAgCVRyAIAAMCSKGQBAABgSRSyAAAAsCQKWQAAAFgShSwA+MnXX3+tjRs3lnue7OxsrVu3rvwbBAAWQyELAH4yatQoffrpp+We55VXXtHMmTO9sEUAYC1h/t4AAKisunTpoubNm/t7MwDAsujIAoAX/Pbbb5o1a5aOHTvmHDPG6LPPPtOmTZtKfM3tt9+uFi1aOJeXLl2qLVu26NixY1q2bJm++eYbnT17ttjrTpw4oUWLFumHH37Q6dOnS5zb4XBoxYoVWrBggXJyclzWrV+/XnPnznUZO3z4sGbNmqWDBw+6vc8A4G90ZAHAC2rWrKm33npLc+bM0eeffy5Jeu211/Tqq69qw4YNJb5m1KhRuv3229WqVStJ0nPPPafIyEjt3r1bLVq00ObNm2W327VixQrVqFFDkrR69Wp1795ddevWVc2aNZWXl6ewsDCXzm5ubq569eqlc+fOKTExUT///LPatGmjOXPmqEqVKrruuuuUmpqqvXv3asiQIZKklJQU5efnq0+fPhX5YwIAr6IjCwBeEBYWpo8//lhLly7V5MmTtWbNGr3wwguaPHmy6tat6/Y8v/76q1atWqVFixYpJydHp06d0tSpU53rH3vsMfXs2VPr16/XsmXLNHbsWG3ZssVljn79+qlLly7avHmzMjIytH37du3atUtvvvmmJCk+Pl4ffPCB0tLStGnTJr377rv64YcfNHPmTIWGhnrnBwIAPkBHFgC8pEmTJnrnnXc0ZMgQxcbGKiUlRb179/Zojr/85S+Kjo6WJF1zzTXq0KGDtm3bJknasWOH1qxZo48++kg2m02SdP/996tRo0bO12/fvl3Lly/XAw88oM8//1zGGBlj1LhxY2VlZenZZ5+VJPXt21eZmZm69957lZeXpylTpighIcELPwUA8B0KWQDwooEDB2rMmDHas2ePXn31VY9fX1TEFrHb7c77ZHfv3i1JatCggUtMw4YNnf/etWuXJOm7775z6a5WqVJFTZs2dXndqFGj1LBhQ7Vr1079+vXzeFsBwN8oZAHAi9577z0dPnxYMTExGj9+vMaPH++1uWNiYiRJx44dU7Vq1Zzjl37ArHr16pKkkSNHKikp6Yrz/fOf/3TeQ7t48WLdeeedXttWAPAF7pEFAC/ZvHmznnnmGb3//vuaMWOG3njjDX377bdem79Zs2a6/vrrNX/+fOfYzp07tX79eudy69atVatWLX3wwQfFXr9v3z7nv6dNm6bFixdr0aJFeu655zRw4EAdOnTIa9sKAL5ARxYAvODcuXPq37+/7r33Xuef6YcOHaqHHnpIGzZsUFRUVLnfo2rVqho9erSGDh2qgwcPqlatWnrnnXecXVjp4i0EkydPVp8+fXTgwAF17dpVhw8fVkZGhgYMGKDHH39cO3fu1N/+9jdNmDBBiYmJevHFF/XVV19p0KBBWrBgQbm3EwB8hY4sAHhBVlaWWrVqpffee885NmbMGN15551avHhxia/p0qWLbrzxRudycnJysdsBOnbsqA4dOjiXH3vsMc2ePVt79+7Vrl27NHXqVD377LO6+eabnTE9e/bUpk2b1Lx5c33//fc6deqU3n33XT3++OOSpIyMDD311FMaNGiQJCk0NFQzZ85URESES3cXAAKdzRhj/L0RAAAAgKfoyAIAAMCSKGQBAABgSRSyAAAAsCQKWQAAAFgShSwAAAAsiUIWAAAAlkQhCwAAAEuikAUAAIAlUcgCAADAkihkAQAAYEkUsgAAALAkClkAAABY0v8H1KQiaiIuJQkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m=mm.tmask[0,0]\n",
    "fig, ax = plt.subplots(figsize=(7,5))\n",
    "\n",
    "# background\n",
    "(m).plot(\n",
    "    ax=ax,\n",
    "    add_colorbar=False,\n",
    ")\n",
    "\n",
    "# StraitFlux predefined section\n",
    "ax.scatter(\n",
    "    indices_osnap_predef.indices[:,0],\n",
    "    indices_osnap_predef.indices[:,1],\n",
    "    s=8,\n",
    "    c=\"tab:blue\",\n",
    "    label=\"StraitFlux (predefined)\",\n",
    "    zorder=3,\n",
    ")\n",
    "ax.scatter(\n",
    "    indices_osnap_predef.indices[:,2],\n",
    "    indices_osnap_predef.indices[:,3],\n",
    "    s=8,\n",
    "    c=\"tab:blue\",\n",
    "    zorder=3,\n",
    ")\n",
    "\n",
    "# StraitFlux exact section\n",
    "ax.scatter(\n",
    "    indices_osnap_exact.indices[:,0],\n",
    "    indices_osnap_exact.indices[:,1],\n",
    "    s=8,\n",
    "    c=\"crimson\",\n",
    "    label=\"StraitFlux (at exact Obs. coordinates)\",\n",
    "    zorder=4,\n",
    ")\n",
    "ax.scatter(\n",
    "    indices_osnap_exact.indices[:,2],\n",
    "    indices_osnap_exact.indices[:,3],\n",
    "    s=8,\n",
    "    c=\"crimson\",\n",
    "    zorder=4,\n",
    ")\n",
    "\n",
    "\n",
    "# following y-indices (e.g. CDFTools)\n",
    "ax.hlines(820, 908, 1120,  color=\"grey\",lw=2.5, label='Following y-indices (e.g. CDFTools)')\n",
    "\n",
    "ax.set_xlim(890,1150)\n",
    "ax.set_ylim(700,900)\n",
    "\n",
    "ax.set_xlabel(\"x index\")\n",
    "ax.set_ylabel(\"y index\")\n",
    "\n",
    "ax.set_title(\"OSNAP section representation on the native model grid\")\n",
    "\n",
    "ax.legend(frameon=True)\n",
    "ax.grid(alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b17e5163",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "209e709c",
   "metadata": {},
   "source": [
    "# Exercise\n",
    "Play around with StraitFlux:\n",
    "- Define any section (land to land!) of your liking by either defining start and end points or supplying a polyline of coordinates.\n",
    "- Use the CGLORSv8 data to:\n",
    "    - Calculate transports, MOC and cross-sections\n",
    "    - Visualize your results\n",
    "    - Optional: Show us your Plots\n",
    "\n",
    "#### Project Work: Select your GO-SHIP sections and compare reanalysis transports to the GO-SHIP data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2a7ea0a2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5996ed83",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "76bb9c0a",
   "metadata": {},
   "source": [
    "## 11. Practical notes and troubleshooting\n",
    "\n",
    "### Mesh files\n",
    "\n",
    "- If `mesh_dxv` and `mesh_dyu` are supplied, StraitFlux uses them directly. (recommended!)\n",
    "- If cached files `mesh_dxv_MODEL.nc` and `mesh_dyu_MODEL.nc` exist in `path_mesh`, StraitFlux reuses them.\n",
    "- If neither is available, StraitFlux can calculate horizontal metrics from U/V latitude and longitude coordinates, but supplying native mesh metrics is preferred.\n",
    "\n",
    "### Vertical thickness files\n",
    "\n",
    "- If `file_zu` and `file_zv` are supplied, StraitFlux uses U/V face thicknesses directly.\n",
    "- If only `file_z` is supplied, StraitFlux estimates U/V face thicknesses from T-cell thickness.\n",
    "- For some NEMO mesh files, it can be cleaner to save `e3t`, `e3u`, and `e3v` into separate files before supplying them.\n",
    "\n",
    "### Time coordinates\n",
    "\n",
    "For monthly products with slightly different timestamps between variables, use the default `normalize_time=\"MS\"`. Use `normalize_time=None` to disable this behavior."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54155001",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "- Winkelbauer et al., 2024, *StraitFlux: computation of ocean transports on various modeling grids*, Geoscientific Model Development.\n",
    "- Mayer et al., 2023, *Recent variations in oceanic transports across the Greenland–Scotland Ridge*, State Planet.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7a2c33f9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "ddcbb01c",
   "metadata": {},
   "source": [
    "# Metric \n",
    "https://github.com/AMOCcommunity/metric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b69de660",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Test division into Ekman, Florida etc.!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c2fb99ca",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3fbbb4fb",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}