{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "11850fa8-a771-4268-96cb-7e686c077f71",
   "metadata": {},
   "source": [
    "# Angular Momentum Budget\n",
    "\n",
    "## Introduction\n",
    "\n",
    "We're going to talk about three key budgets of materially conserved quantities:\n",
    "\n",
    "1. Angular Momentum\n",
    "2. Energy\n",
    "3. Water Vapor\n",
    "\n",
    "The general idea running through these topics is that we have a quantity that *obeys some conservation principle* embeded in the equations of motion, and that over a \"long enough\" time period that quantity must be in **steady state** in the atmosphere.\n",
    "\n",
    "For any quantity in steady state, we must have a balance between local *sources* and *sinks* of that quantity and *flux divergence / convergence* of the same quantity.\n",
    "\n",
    "### Vertical integrals\n",
    "\n",
    "In addition to zonal and time averages, we will sometimes employ a vertical integral (weighted by mass):\n",
    "\n",
    "$$ <A> = \\frac{1}{g} \\int_0^{p_s} A dp \\approx \\int_0^{\\infty} A \\rho dz $$\n",
    "\n",
    "where $p_s$ is the surface pressure."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64cb72e3-2fa7-4de5-9163-623066ff88e5",
   "metadata": {},
   "source": [
    "## Angular momentum basics\n",
    "\n",
    "The total angular momentum of the solid Earth and its fluid components is approximately conserved.\n",
    "\n",
    "Angular momentum is exchanged between the solid Earth and the atmosphere, but on greater than annual timescales, there should be no net exchange.\n",
    "\n",
    "### Length of day\n",
    "\n",
    "Changes in the angular momentum of the solid Earth are reflected in fluctuations of the [Length of Day](https://en.wikipedia.org/wiki/Day_length_fluctuations):\n",
    "\n",
    "<p><a href=\"https://commons.wikimedia.org/wiki/File:Deviation_of_day_length_from_SI_day.svg#/media/File:Deviation_of_day_length_from_SI_day.svg\"><img src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/5/5b/Deviation_of_day_length_from_SI_day.svg/1200px-Deviation_of_day_length_from_SI_day.svg.png\" alt=\"Deviation of day length from SI day.svg\"></a><br>By &lt;a href=\"//commons.wikimedia.org/w/index.php?title=User:%E2%85%A1_%E2%85%A6_%E2%85%AB&amp;amp;action=edit&amp;amp;redlink=1\" class=\"new\" title=\"User:Ⅱ Ⅶ Ⅻ (page does not exist)\"&gt;Ⅱ Ⅶ Ⅻ&lt;/a&gt; - &lt;span class=\"int-own-work\" lang=\"en\"&gt;Own work&lt;/span&gt;, data: &lt;a href=\"https://en.wikipedia.org/wiki/IERS\" class=\"extiw\" title=\"en:IERS\"&gt;IERS&lt;/a&gt; &lt;a rel=\"nofollow\" class=\"external autonumber\" href=\"http://hpiers.obspm.fr/eoppc/eop/eopc04/eopc04.62-now\"&gt;[1]&lt;/a&gt;, Public Domain, <a href=\"https://commons.wikimedia.org/w/index.php?curid=9395571\">Link</a></p>\n",
    "\n",
    "There's clearly lots of interesting low-frequency variability, but for our purposes we'll pay most attention to the annual timescale: fluctuations of order 1 ms. It turns out that these are well-correlated with seasonal flucutations in atmospheric angular momentum."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fad9c7bf-17d5-4e2c-a709-4c45899b74f4",
   "metadata": {},
   "source": [
    "### Definitions and notation\n",
    "\n",
    "Let $\\vec{r}$ be the position vector from the axis of rotation, and let $\\vec{u}_a$ be the absolute velocity as measured in the *inertial* frame.\n",
    "\n",
    "**Sketch of sphere**\n",
    "\n",
    "Then we define the **angular momentum**\n",
    "\n",
    "$$\\vec{M} = \\vec{r} \\times \\vec{u}_a $$\n",
    "\n",
    "and its changes are governed by\n",
    "\n",
    "$$ \\frac{d\\vec{M}}{dt} = \\vec{r} \\times \\vec{F} $$\n",
    "\n",
    "where $\\vec{F}$ is the net force, and $\\vec{r} \\times \\vec{F}$ is the net **torque**.\n",
    "\n",
    "Two important torques we will discuss include the frictional torque and the mountain torque.\n",
    "\n",
    "Now define the relative velocity $\\vec{u}$ through\n",
    "\n",
    "$$ \\vec{u}_a = \\vec{\\Omega} \\times \\vec{r} + \\vec{u} $$\n",
    "\n",
    "where $\\vec{\\Omega}$ is the Earth's rotation vector. So the angular momentum can be written\n",
    "\n",
    "\\begin{align*}\n",
    "\\vec{M} &= \\vec{r} \\times \\left( \\vec{\\Omega} \\times \\vec{r} + \\vec{u} \\right) \\\\\n",
    "&= \\Omega (a \\cos\\phi)^2 \\hat{\\Omega} + \\vec{r} \\times \\vec{u}\n",
    "\\end{align*}\n",
    "\n",
    "where $\\hat{\\Omega}$ is a unit vector aligned with the axis of rotation. This is valid for the thin-shell approximation, $z<<a$ where $a$ is the radius of the Earth.\n",
    "\n",
    "The planetary component dictates the predominant direction of $\\vec{M}$, so we are most interested in the component of $\\vec{r} \\times \\vec{u}$ also parallel to $\\hat{\\Omega}$:\n",
    "\n",
    "$$ \\hat{\\Omega} \\cdot (\\vec{r} \\times \\vec{u}) = u a \\cos\\phi $$\n",
    "\n",
    "So let's define this (scalar) quantity:\n",
    "\n",
    "$$ M = \\Omega a^2 \\cos^2\\phi + u a \\cos\\phi $$\n",
    "\n",
    "where the first term is the **planetary angular momentum** and the second term is the **relative angular momentum**."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e88a9d48-5dff-4714-b6f6-b2e6acd6aa34",
   "metadata": {},
   "source": [
    "## Absolute versus relative angular momentum in seasonal extremes\n",
    "\n",
    "The plot below is reproduced from a very nice textbook, \"An Introduction to the Global Circulation of the Atmosphere\" by [David Randall](https://www.atmos.colostate.edu/people/faculty/randall/) (Colorado State University) {cite:t}`Randall:globalcirc`.\n",
    "\n",
    "It shows the absolute angular momentum $M$ as well as just the relative component $M_{relative} = ua\\cos\\phi$ for the seasonal extremes of January and July.\n",
    "\n",
    "Notice that the relative component is about two orders of magnitude smaller than the absolute."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25475a3c-ee76-4a6c-8752-ad2d48a646c5",
   "metadata": {},
   "source": [
    ":::{figure-md} markdown-fig\n",
    "<img src=\"../images/angular-momentum-randall.png\" alt=\"Absolute and relative angular momentum\" class=\"bg-primary mb-1\" width=\"800px\">\n",
    "\n",
    "The observed absolute (left panels) and relative (right panels) atmopspheric angular momentum per unit mass, for January and July. The units are $10^{7}$ m$^{2}$ s$^{-1}$. Source: {cite:t}`Randall:globalcirc`\n",
    ":::"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e616744d-114b-43ab-86d0-34de7f686494",
   "metadata": {},
   "source": [
    "## Plotting angular momentum from CFSR data\n",
    "\n",
    "Let's duplicate the plot above using one year of zonal wind ($u$) data from the CFSR.\n",
    "\n",
    "Even though we're just using a single year, it's still a relatively big calculation because we start with a four dimensional dataset (lat, lon, time, and pressure levels) at 6-hourly resolution. We'll use some \"lazy execution\" tricks along the way to get our calculation done."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1d21d1d-955f-4c35-b054-4ec19cac42e7",
   "metadata": {},
   "source": [
    "### Load the data using `chunks` to store as dask arrays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2a98cb58-e1f6-4a0a-80a4-8b73cbb84948",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-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",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 1460, lat: 361, lon: 720, lev: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-01-01 ... 2021-12-31T18:00:00\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lon      (lon) float32 -180.0 -179.5 -179.0 -178.5 ... 178.5 179.0 179.5\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0\n",
       "Data variables:\n",
       "    u        (time, lev, lat, lon) float32 dask.array&lt;chunksize=(12, 32, 361, 720), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    description:    u 1000-10 hPa\n",
       "    year:           2021\n",
       "    source:         http://nomads.ncdc.noaa.gov/data.php?name=access#CFSR-data\n",
       "    references:     Saha, et. al., (2010)\n",
       "    created_by:     User: ab473731\n",
       "    creation_date:  Sat Jan  2 06:00:32 UTC 2021</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-b65a18f3-43a3-43e4-be47-9685464ca57b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b65a18f3-43a3-43e4-be47-9685464ca57b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1460</li><li><span class='xr-has-index'>lat</span>: 361</li><li><span class='xr-has-index'>lon</span>: 720</li><li><span class='xr-has-index'>lev</span>: 32</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-63964226-175a-4018-b7bf-bdab9cbec662' class='xr-section-summary-in' type='checkbox'  checked><label for='section-63964226-175a-4018-b7bf-bdab9cbec662' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-01-01 ... 2021-12-31T18:00:00</div><input id='attrs-20fff177-2a3f-4cf4-b219-524fb4d02496' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20fff177-2a3f-4cf4-b219-524fb4d02496' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a0ac06c-1f7d-4e93-b117-065088201047' class='xr-var-data-in' type='checkbox'><label for='data-4a0ac06c-1f7d-4e93-b117-065088201047' 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>actual_range :</span></dt><dd>[1937256. 1946010.]</dd><dt><span>last_time :</span></dt><dd>2021-12-31 18:00:00</dd><dt><span>first_time :</span></dt><dd>2021-1-1 00:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 06:00:00</dd><dt><span>long_name :</span></dt><dd>initial time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-01-01T00:00:00.000000000&#x27;, &#x27;2021-01-01T06:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-01T12:00:00.000000000&#x27;, ..., &#x27;2021-12-31T06:00:00.000000000&#x27;,\n",
       "       &#x27;2021-12-31T12:00:00.000000000&#x27;, &#x27;2021-12-31T18:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.5 -89.0 ... 89.5 90.0</div><input id='attrs-7f2ae856-750a-45d9-88e7-37b083bfe0a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f2ae856-750a-45d9-88e7-37b083bfe0a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-790d59a0-56d8-4b82-b11a-28f74f59f52c' class='xr-var-data-in' type='checkbox'><label for='data-790d59a0-56d8-4b82-b11a-28f74f59f52c' 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>actual_range :</span></dt><dd>[-90  90]</dd><dt><span>delta_y :</span></dt><dd>0.5</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd><dt><span>mapping :</span></dt><dd>cylindrical_equidistant_projection_grid</dd><dt><span>grid_resolution :</span></dt><dd>0.5_degrees</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>array([-90. , -89.5, -89. , ...,  89. ,  89.5,  90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.5 ... 179.0 179.5</div><input id='attrs-b299c324-4672-46cd-a25c-b057303a9daa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b299c324-4672-46cd-a25c-b057303a9daa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-998a956a-a3c0-4f3a-b8ad-047de26ae5f3' class='xr-var-data-in' type='checkbox'><label for='data-998a956a-a3c0-4f3a-b8ad-047de26ae5f3' 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>actual_range :</span></dt><dd>[-180.   179.5]</dd><dt><span>delta_x :</span></dt><dd>0.5</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd><dt><span>mapping :</span></dt><dd>cylindrical_equidistant_projection_grid</dd><dt><span>grid_resolution :</span></dt><dd>0.5_degrees</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>array([-180. , -179.5, -179. , ...,  178.5,  179. ,  179.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 975.0 950.0 ... 20.0 10.0</div><input id='attrs-10e6ebd3-dbd8-4522-81cb-43b14ed56102' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10e6ebd3-dbd8-4522-81cb-43b14ed56102' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-804064a0-0a25-4a19-ae2c-d2eed7ba651a' class='xr-var-data-in' type='checkbox'><label for='data-804064a0-0a25-4a19-ae2c-d2eed7ba651a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>hPa</dd><dt><span>long_name :</span></dt><dd>isobaric_level</dd></dl></div><div class='xr-var-data'><pre>array([1000.,  975.,  950.,  925.,  900.,  875.,  850.,  825.,  800.,  775.,\n",
       "        750.,  700.,  650.,  600.,  550.,  500.,  450.,  400.,  350.,  300.,\n",
       "        250.,  225.,  200.,  175.,  150.,  125.,  100.,   70.,   50.,   30.,\n",
       "         20.,   10.], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-71990b9c-b5fd-4e00-9460-118cd0507064' class='xr-section-summary-in' type='checkbox'  checked><label for='section-71990b9c-b5fd-4e00-9460-118cd0507064' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 32, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-88f914ec-637d-4fe6-9bce-063545f373c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88f914ec-637d-4fe6-9bce-063545f373c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-618044b7-9828-41d4-ae3a-b1cc46b5a92f' class='xr-var-data-in' type='checkbox'><label for='data-618044b7-9828-41d4-ae3a-b1cc46b5a92f' 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>level_type :</span></dt><dd>isobaric_level (hPa)</dd><dt><span>units :</span></dt><dd>m s^-1</dd><dt><span>long_name :</span></dt><dd>zonal wind</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 45.24 GiB </td>\n",
       "                        <td> 380.74 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1460, 32, 361, 720) </td>\n",
       "                        <td> (12, 32, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 122 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"506\" height=\"110\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"2\" y1=\"0\" x2=\"2\" y2=\"25\" />\n",
       "  <line x1=\"6\" y1=\"0\" x2=\"6\" y2=\"25\" />\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" />\n",
       "  <line x1=\"14\" y1=\"0\" x2=\"14\" y2=\"25\" />\n",
       "  <line x1=\"18\" y1=\"0\" x2=\"18\" y2=\"25\" />\n",
       "  <line x1=\"21\" y1=\"0\" x2=\"21\" y2=\"25\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"25\" />\n",
       "  <line x1=\"33\" y1=\"0\" x2=\"33\" y2=\"25\" />\n",
       "  <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n",
       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"25\" />\n",
       "  <line x1=\"44\" y1=\"0\" x2=\"44\" y2=\"25\" />\n",
       "  <line x1=\"48\" y1=\"0\" x2=\"48\" y2=\"25\" />\n",
       "  <line x1=\"52\" y1=\"0\" x2=\"52\" y2=\"25\" />\n",
       "  <line x1=\"56\" y1=\"0\" x2=\"56\" y2=\"25\" />\n",
       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"25\" />\n",
       "  <line x1=\"63\" y1=\"0\" x2=\"63\" y2=\"25\" />\n",
       "  <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n",
       "  <line x1=\"71\" y1=\"0\" x2=\"71\" y2=\"25\" />\n",
       "  <line x1=\"74\" y1=\"0\" x2=\"74\" y2=\"25\" />\n",
       "  <line x1=\"78\" y1=\"0\" x2=\"78\" y2=\"25\" />\n",
       "  <line x1=\"81\" y1=\"0\" x2=\"81\" y2=\"25\" />\n",
       "  <line x1=\"85\" y1=\"0\" x2=\"85\" y2=\"25\" />\n",
       "  <line x1=\"89\" y1=\"0\" x2=\"89\" y2=\"25\" />\n",
       "  <line x1=\"93\" y1=\"0\" x2=\"93\" y2=\"25\" />\n",
       "  <line x1=\"97\" y1=\"0\" x2=\"97\" y2=\"25\" />\n",
       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n",
       "  <line x1=\"104\" y1=\"0\" x2=\"104\" y2=\"25\" />\n",
       "  <line x1=\"108\" y1=\"0\" x2=\"108\" y2=\"25\" />\n",
       "  <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n",
       "  <line x1=\"116\" y1=\"0\" x2=\"116\" y2=\"25\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1460</text>\n",
       "  <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"190\" y1=\"0\" x2=\"207\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"190\" y1=\"42\" x2=\"207\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"190\" y1=\"0\" x2=\"190\" y2=\"42\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"207\" y1=\"17\" x2=\"207\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"190.0,0.0 207.38252310357052,17.382523103570527 207.38252310357052,60.23996887578118 190.0,42.85744577221065\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"190\" y1=\"0\" x2=\"249\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"207\" y1=\"17\" x2=\"266\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"190\" y1=\"0\" x2=\"207\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"249\" y1=\"0\" x2=\"266\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"190.0,0.0 249.17808219178085,0.0 266.56060529535137,17.382523103570527 207.38252310357052,17.382523103570527\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"207\" y1=\"17\" x2=\"266\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"207\" y1=\"60\" x2=\"266\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"207\" y1=\"17\" x2=\"207\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"266\" y1=\"17\" x2=\"266\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"207.38252310357052,17.382523103570527 266.56060529535137,17.382523103570527 266.56060529535137,60.23996887578118 207.38252310357052,60.23996887578118\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"236.971564\" y=\"80.239969\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"286.560605\" y=\"38.811246\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,286.560605,38.811246)\">361</text>\n",
       "  <text x=\"188.691262\" y=\"71.548707\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,188.691262,71.548707)\">32</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-1fda803f-c6cb-4e87-bd50-fca3a0b5e72d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1fda803f-c6cb-4e87-bd50-fca3a0b5e72d' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>u 1000-10 hPa</dd><dt><span>year :</span></dt><dd>2021</dd><dt><span>source :</span></dt><dd>http://nomads.ncdc.noaa.gov/data.php?name=access#CFSR-data</dd><dt><span>references :</span></dt><dd>Saha, et. al., (2010)</dd><dt><span>created_by :</span></dt><dd>User: ab473731</dd><dt><span>creation_date :</span></dt><dd>Sat Jan  2 06:00:32 UTC 2021</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 1460, lat: 361, lon: 720, lev: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-01-01 ... 2021-12-31T18:00:00\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lon      (lon) float32 -180.0 -179.5 -179.0 -178.5 ... 178.5 179.0 179.5\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0\n",
       "Data variables:\n",
       "    u        (time, lev, lat, lon) float32 dask.array<chunksize=(12, 32, 361, 720), meta=np.ndarray>\n",
       "Attributes:\n",
       "    description:    u 1000-10 hPa\n",
       "    year:           2021\n",
       "    source:         http://nomads.ncdc.noaa.gov/data.php?name=access#CFSR-data\n",
       "    references:     Saha, et. al., (2010)\n",
       "    created_by:     User: ab473731\n",
       "    creation_date:  Sat Jan  2 06:00:32 UTC 2021"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "cfsr_path = '/cfsr/data/'\n",
    "year = '2021'\n",
    "\n",
    "ds = xr.open_dataset(cfsr_path + year + '/u.' + year + '.0p5.anl.nc', chunks={\"time\": 12})\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85a9ced8-8f22-4d6f-9009-2da12d34cbb9",
   "metadata": {},
   "source": [
    "### Planetary angular momentum\n",
    "\n",
    "First we'll do the easy part: computing the planetary angular momentum from\n",
    "\n",
    "$$ M_{planetary} = \\Omega a^2 \\cos^2\\phi $$\n",
    "\n",
    "We just need the planetary constants $\\Omega$ and $a$ as well as the latitude axis from our dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4a2e103e-5872-4f41-be4a-0b1634c6b425",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a = 6.371E6  # the mean planetary radius in meters\n",
    "sidereal_period = (23*60 + 56)*60 + 4.09053  # Earth's rotational period in seconds -- just shy of one day\n",
    "Omega = 2*np.pi / sidereal_period  # Earth's angular rotation rate (radians / second)\n",
    "\n",
    "Mplanetary = Omega * a**2 * np.cos(np.deg2rad(ds.lat)) / 1E7 # put in same units as Randall figure\n",
    "Mplanetary.attrs['long_name'] = 'planetary angular momentum'\n",
    "Mplanetary.attrs['units'] = '10^7 m^2 s^-1'\n",
    "Mplanetary.plot(y='lat');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac52edff-592d-4eea-897c-c9cc7a038952",
   "metadata": {},
   "source": [
    "### Computing relative angular momentum from zonal wind data\n",
    "\n",
    "The formula is\n",
    "\n",
    "$$ M_{relative} = u a \\cos\\phi $$\n",
    "\n",
    "and we are mainly concerned here with zonal- and time averages. So we will start by zonally averaging the wind data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9b9f4ba3-5db4-420d-85dd-e508bbe3e312",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-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",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;u&#x27; (time: 1460, lev: 32, lat: 361)&gt;\n",
       "dask.array&lt;mean_agg-aggregate, shape=(1460, 32, 361), dtype=float32, chunksize=(12, 32, 361), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-01-01 ... 2021-12-31T18:00:00\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'u'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1460</li><li><span class='xr-has-index'>lev</span>: 32</li><li><span class='xr-has-index'>lat</span>: 361</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6f023953-4524-489a-8220-64042fb376f4' class='xr-array-in' type='checkbox' checked><label for='section-6f023953-4524-489a-8220-64042fb376f4' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(12, 32, 361), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 64.34 MiB </td>\n",
       "                        <td> 541.50 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1460, 32, 361) </td>\n",
       "                        <td> (12, 32, 361) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 4 Graph Layers </td>\n",
       "                        <td> 122 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"173\" height=\"150\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"80\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"29\" x2=\"80\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"29\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"33\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"36\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"40\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"44\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"48\" />\n",
       "  <line x1=\"32\" y1=\"22\" x2=\"32\" y2=\"51\" />\n",
       "  <line x1=\"35\" y1=\"25\" x2=\"35\" y2=\"55\" />\n",
       "  <line x1=\"39\" y1=\"29\" x2=\"39\" y2=\"59\" />\n",
       "  <line x1=\"43\" y1=\"33\" x2=\"43\" y2=\"62\" />\n",
       "  <line x1=\"47\" y1=\"37\" x2=\"47\" y2=\"66\" />\n",
       "  <line x1=\"50\" y1=\"40\" x2=\"50\" y2=\"70\" />\n",
       "  <line x1=\"54\" y1=\"44\" x2=\"54\" y2=\"74\" />\n",
       "  <line x1=\"58\" y1=\"48\" x2=\"58\" y2=\"77\" />\n",
       "  <line x1=\"61\" y1=\"51\" x2=\"61\" y2=\"81\" />\n",
       "  <line x1=\"65\" y1=\"55\" x2=\"65\" y2=\"85\" />\n",
       "  <line x1=\"69\" y1=\"59\" x2=\"69\" y2=\"88\" />\n",
       "  <line x1=\"73\" y1=\"63\" x2=\"73\" y2=\"92\" />\n",
       "  <line x1=\"76\" y1=\"66\" x2=\"76\" y2=\"96\" />\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"80\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 80.58823529411765,70.58823529411765 80.58823529411765,100.13852457018754 10.0,29.550289276069893\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"52\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"56\" y2=\"3\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"59\" y2=\"6\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"63\" y2=\"11\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"67\" y2=\"14\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"71\" y2=\"18\" />\n",
       "  <line x1=\"32\" y1=\"22\" x2=\"74\" y2=\"22\" />\n",
       "  <line x1=\"35\" y1=\"25\" x2=\"78\" y2=\"25\" />\n",
       "  <line x1=\"39\" y1=\"29\" x2=\"82\" y2=\"29\" />\n",
       "  <line x1=\"43\" y1=\"33\" x2=\"85\" y2=\"33\" />\n",
       "  <line x1=\"47\" y1=\"37\" x2=\"89\" y2=\"37\" />\n",
       "  <line x1=\"50\" y1=\"40\" x2=\"93\" y2=\"40\" />\n",
       "  <line x1=\"54\" y1=\"44\" x2=\"97\" y2=\"44\" />\n",
       "  <line x1=\"58\" y1=\"48\" x2=\"101\" y2=\"48\" />\n",
       "  <line x1=\"61\" y1=\"51\" x2=\"104\" y2=\"51\" />\n",
       "  <line x1=\"65\" y1=\"55\" x2=\"108\" y2=\"55\" />\n",
       "  <line x1=\"69\" y1=\"59\" x2=\"112\" y2=\"59\" />\n",
       "  <line x1=\"73\" y1=\"63\" x2=\"116\" y2=\"63\" />\n",
       "  <line x1=\"76\" y1=\"66\" x2=\"119\" y2=\"66\" />\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"123\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"80\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"52\" y1=\"0\" x2=\"123\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 52.85744577221065,0.0 123.4456810663283,70.58823529411765 80.58823529411765,70.58823529411765\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"123\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"80\" y1=\"100\" x2=\"123\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"80\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"123\" y1=\"70\" x2=\"123\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"80.58823529411765,70.58823529411765 123.4456810663283,70.58823529411765 123.4456810663283,100.13852457018754 80.58823529411765,100.13852457018754\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"102.016958\" y=\"120.138525\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >361</text>\n",
       "  <text x=\"143.445681\" y=\"85.363380\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,143.445681,85.363380)\">32</text>\n",
       "  <text x=\"35.294118\" y=\"84.844407\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,35.294118,84.844407)\">1460</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-cdc54a91-817b-4c57-91f9-75e70e37c640' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cdc54a91-817b-4c57-91f9-75e70e37c640' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-01-01 ... 2021-12-31T18:00:00</div><input id='attrs-a1f14346-b34b-4832-bb49-d7b2b7fb0b75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1f14346-b34b-4832-bb49-d7b2b7fb0b75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fe4fbf3-4ff1-415c-8469-51585fdbac1c' class='xr-var-data-in' type='checkbox'><label for='data-5fe4fbf3-4ff1-415c-8469-51585fdbac1c' 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>actual_range :</span></dt><dd>[1937256. 1946010.]</dd><dt><span>last_time :</span></dt><dd>2021-12-31 18:00:00</dd><dt><span>first_time :</span></dt><dd>2021-1-1 00:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 06:00:00</dd><dt><span>long_name :</span></dt><dd>initial time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-01-01T00:00:00.000000000&#x27;, &#x27;2021-01-01T06:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-01T12:00:00.000000000&#x27;, ..., &#x27;2021-12-31T06:00:00.000000000&#x27;,\n",
       "       &#x27;2021-12-31T12:00:00.000000000&#x27;, &#x27;2021-12-31T18:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.5 -89.0 ... 89.5 90.0</div><input id='attrs-0c303bc1-8f59-4b95-b59a-c179e4cf3875' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c303bc1-8f59-4b95-b59a-c179e4cf3875' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9edc00d2-97a5-4cd2-8efe-96e9aa9fbf75' class='xr-var-data-in' type='checkbox'><label for='data-9edc00d2-97a5-4cd2-8efe-96e9aa9fbf75' 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>actual_range :</span></dt><dd>[-90  90]</dd><dt><span>delta_y :</span></dt><dd>0.5</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd><dt><span>mapping :</span></dt><dd>cylindrical_equidistant_projection_grid</dd><dt><span>grid_resolution :</span></dt><dd>0.5_degrees</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>array([-90. , -89.5, -89. , ...,  89. ,  89.5,  90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 975.0 950.0 ... 20.0 10.0</div><input id='attrs-55e68529-3bcd-4681-866a-ed54180652b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55e68529-3bcd-4681-866a-ed54180652b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbcfe3c0-dae9-45d4-a49a-8ab03c92d0e3' class='xr-var-data-in' type='checkbox'><label for='data-fbcfe3c0-dae9-45d4-a49a-8ab03c92d0e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>hPa</dd><dt><span>long_name :</span></dt><dd>isobaric_level</dd></dl></div><div class='xr-var-data'><pre>array([1000.,  975.,  950.,  925.,  900.,  875.,  850.,  825.,  800.,  775.,\n",
       "        750.,  700.,  650.,  600.,  550.,  500.,  450.,  400.,  350.,  300.,\n",
       "        250.,  225.,  200.,  175.,  150.,  125.,  100.,   70.,   50.,   30.,\n",
       "         20.,   10.], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-018c22de-df58-4d03-bc3a-1fe1f109b1e7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-018c22de-df58-4d03-bc3a-1fe1f109b1e7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'u' (time: 1460, lev: 32, lat: 361)>\n",
       "dask.array<mean_agg-aggregate, shape=(1460, 32, 361), dtype=float32, chunksize=(12, 32, 361), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-01-01 ... 2021-12-31T18:00:00\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "u_zon = ds.u.mean(dim='lon')\n",
    "u_zon"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "576f719d-0d29-43a8-bfd0-26886a97d979",
   "metadata": {},
   "source": [
    "Note that this is a very \"cheap\" operation because we haven't actually done the computation yet!\n",
    "\n",
    "This is an example of \"lazy\" execution. We've just set up instructions about **how** to calculate the result. The actual computation will only occur when it's need (like when we try to plot a result)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ab0d9b5-3927-442b-83b4-c0344d3185ec",
   "metadata": {},
   "source": [
    "#### Side note: transforming to height coordinates\n",
    "\n",
    "Since Randall's figure is plotted with respect to height rather than pressure, let's add a new coordinate dimension to our dataset that represents approximate geopotential height.\n",
    "\n",
    "This function just computes the integrated hydrostatic balance relation for an ideal gas at a constant reference temperature (which is all we need here since it's just for visual comparison):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b73eae5f-509c-45d1-8234-7088eaa08558",
   "metadata": {},
   "outputs": [],
   "source": [
    "def geopotential_height(p):\n",
    "    '''Compute approximate geopotential height (km) from pressure based on hydrostatic balance at a reference temperature'''\n",
    "    Rd = 287  # gas constant for dry air\n",
    "    g = 9.8  # acceleration due to gravity\n",
    "    Tref = 280.  # reference temperature in Kelvin\n",
    "    ps = 1000.  # reference surface pressure in hPa\n",
    "    return Rd*Tref/g * np.log(ps / p) / 1000."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d340d613-f39b-40a2-bb41-f72b4152a03e",
   "metadata": {},
   "source": [
    "Now let's define our new angular momentum variable, and give it some useful metadata (including our new vertical coordinate)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2913a909-ad3d-4f0a-bf0a-6597ea419fa1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-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",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (time: 1460, lev: 32, lat: 361)&gt;\n",
       "dask.array&lt;truediv, shape=(1460, 32, 361), dtype=float32, chunksize=(12, 32, 361), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * time                 (time) datetime64[ns] 2021-01-01 ... 2021-12-31T18:0...\n",
       "  * lat                  (lat) float32 -90.0 -89.5 -89.0 ... 89.0 89.5 90.0\n",
       "  * lev                  (lev) float32 1e+03 975.0 950.0 ... 30.0 20.0 10.0\n",
       "    geopotential_height  (lev) float32 0.0 0.2076 0.4206 ... 28.75 32.08 37.76\n",
       "Attributes:\n",
       "    long_name:  relative angular momentum\n",
       "    units:      10^7 m^2 s^-1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1460</li><li><span class='xr-has-index'>lev</span>: 32</li><li><span class='xr-has-index'>lat</span>: 361</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-21fe10bc-9bf6-4b91-bf95-fa44976defd7' class='xr-array-in' type='checkbox' checked><label for='section-21fe10bc-9bf6-4b91-bf95-fa44976defd7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(12, 32, 361), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 64.34 MiB </td>\n",
       "                        <td> 541.50 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1460, 32, 361) </td>\n",
       "                        <td> (12, 32, 361) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 8 Graph Layers </td>\n",
       "                        <td> 122 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"173\" height=\"150\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"80\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"29\" x2=\"80\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"29\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"33\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"36\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"40\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"44\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"48\" />\n",
       "  <line x1=\"32\" y1=\"22\" x2=\"32\" y2=\"51\" />\n",
       "  <line x1=\"35\" y1=\"25\" x2=\"35\" y2=\"55\" />\n",
       "  <line x1=\"39\" y1=\"29\" x2=\"39\" y2=\"59\" />\n",
       "  <line x1=\"43\" y1=\"33\" x2=\"43\" y2=\"62\" />\n",
       "  <line x1=\"47\" y1=\"37\" x2=\"47\" y2=\"66\" />\n",
       "  <line x1=\"50\" y1=\"40\" x2=\"50\" y2=\"70\" />\n",
       "  <line x1=\"54\" y1=\"44\" x2=\"54\" y2=\"74\" />\n",
       "  <line x1=\"58\" y1=\"48\" x2=\"58\" y2=\"77\" />\n",
       "  <line x1=\"61\" y1=\"51\" x2=\"61\" y2=\"81\" />\n",
       "  <line x1=\"65\" y1=\"55\" x2=\"65\" y2=\"85\" />\n",
       "  <line x1=\"69\" y1=\"59\" x2=\"69\" y2=\"88\" />\n",
       "  <line x1=\"73\" y1=\"63\" x2=\"73\" y2=\"92\" />\n",
       "  <line x1=\"76\" y1=\"66\" x2=\"76\" y2=\"96\" />\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"80\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 80.58823529411765,70.58823529411765 80.58823529411765,100.13852457018754 10.0,29.550289276069893\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"52\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"56\" y2=\"3\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"59\" y2=\"6\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"63\" y2=\"11\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"67\" y2=\"14\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"71\" y2=\"18\" />\n",
       "  <line x1=\"32\" y1=\"22\" x2=\"74\" y2=\"22\" />\n",
       "  <line x1=\"35\" y1=\"25\" x2=\"78\" y2=\"25\" />\n",
       "  <line x1=\"39\" y1=\"29\" x2=\"82\" y2=\"29\" />\n",
       "  <line x1=\"43\" y1=\"33\" x2=\"85\" y2=\"33\" />\n",
       "  <line x1=\"47\" y1=\"37\" x2=\"89\" y2=\"37\" />\n",
       "  <line x1=\"50\" y1=\"40\" x2=\"93\" y2=\"40\" />\n",
       "  <line x1=\"54\" y1=\"44\" x2=\"97\" y2=\"44\" />\n",
       "  <line x1=\"58\" y1=\"48\" x2=\"101\" y2=\"48\" />\n",
       "  <line x1=\"61\" y1=\"51\" x2=\"104\" y2=\"51\" />\n",
       "  <line x1=\"65\" y1=\"55\" x2=\"108\" y2=\"55\" />\n",
       "  <line x1=\"69\" y1=\"59\" x2=\"112\" y2=\"59\" />\n",
       "  <line x1=\"73\" y1=\"63\" x2=\"116\" y2=\"63\" />\n",
       "  <line x1=\"76\" y1=\"66\" x2=\"119\" y2=\"66\" />\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"123\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"80\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"52\" y1=\"0\" x2=\"123\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 52.85744577221065,0.0 123.4456810663283,70.58823529411765 80.58823529411765,70.58823529411765\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"123\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"80\" y1=\"100\" x2=\"123\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"80\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"123\" y1=\"70\" x2=\"123\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"80.58823529411765,70.58823529411765 123.4456810663283,70.58823529411765 123.4456810663283,100.13852457018754 80.58823529411765,100.13852457018754\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"102.016958\" y=\"120.138525\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >361</text>\n",
       "  <text x=\"143.445681\" y=\"85.363380\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,143.445681,85.363380)\">32</text>\n",
       "  <text x=\"35.294118\" y=\"84.844407\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,35.294118,84.844407)\">1460</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-60f1e244-2b58-42d0-85cb-b29b194a5c56' class='xr-section-summary-in' type='checkbox'  checked><label for='section-60f1e244-2b58-42d0-85cb-b29b194a5c56' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-01-01 ... 2021-12-31T18:00:00</div><input id='attrs-1982a01e-5a5f-4bbd-8daa-67558aa05032' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1982a01e-5a5f-4bbd-8daa-67558aa05032' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ec4bca2-c284-43ae-bfe9-9e60c6e30451' class='xr-var-data-in' type='checkbox'><label for='data-0ec4bca2-c284-43ae-bfe9-9e60c6e30451' 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>actual_range :</span></dt><dd>[1937256. 1946010.]</dd><dt><span>last_time :</span></dt><dd>2021-12-31 18:00:00</dd><dt><span>first_time :</span></dt><dd>2021-1-1 00:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 06:00:00</dd><dt><span>long_name :</span></dt><dd>initial time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-01-01T00:00:00.000000000&#x27;, &#x27;2021-01-01T06:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-01T12:00:00.000000000&#x27;, ..., &#x27;2021-12-31T06:00:00.000000000&#x27;,\n",
       "       &#x27;2021-12-31T12:00:00.000000000&#x27;, &#x27;2021-12-31T18:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.5 -89.0 ... 89.5 90.0</div><input id='attrs-9864d94c-53c2-4e6e-85cc-6a798f76ad1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9864d94c-53c2-4e6e-85cc-6a798f76ad1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-918719ac-2a9b-4182-a4a6-ba069335cd18' class='xr-var-data-in' type='checkbox'><label for='data-918719ac-2a9b-4182-a4a6-ba069335cd18' 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>actual_range :</span></dt><dd>[-90  90]</dd><dt><span>delta_y :</span></dt><dd>0.5</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd><dt><span>mapping :</span></dt><dd>cylindrical_equidistant_projection_grid</dd><dt><span>grid_resolution :</span></dt><dd>0.5_degrees</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>array([-90. , -89.5, -89. , ...,  89. ,  89.5,  90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 975.0 950.0 ... 20.0 10.0</div><input id='attrs-18d45ecc-ba62-484f-8f12-e25755159468' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18d45ecc-ba62-484f-8f12-e25755159468' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-413fb623-ce39-4270-9ebd-676265974933' class='xr-var-data-in' type='checkbox'><label for='data-413fb623-ce39-4270-9ebd-676265974933' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>hPa</dd><dt><span>long_name :</span></dt><dd>isobaric_level</dd></dl></div><div class='xr-var-data'><pre>array([1000.,  975.,  950.,  925.,  900.,  875.,  850.,  825.,  800.,  775.,\n",
       "        750.,  700.,  650.,  600.,  550.,  500.,  450.,  400.,  350.,  300.,\n",
       "        250.,  225.,  200.,  175.,  150.,  125.,  100.,   70.,   50.,   30.,\n",
       "         20.,   10.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geopotential_height</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.2076 0.4206 ... 32.08 37.76</div><input id='attrs-61b49d70-3b47-4cdc-b50f-2e134c821e31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61b49d70-3b47-4cdc-b50f-2e134c821e31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb7d6a53-1966-4dc4-8edf-175c4cb0c9ba' class='xr-var-data-in' type='checkbox'><label for='data-fb7d6a53-1966-4dc4-8edf-175c4cb0c9ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd></dl></div><div class='xr-var-data'><pre>array([ 0.       ,  0.2076065,  0.4206053,  0.6392843,  0.8639567,\n",
       "        1.0949577,  1.3326555,  1.5774498,  1.8297771,  2.0901163,\n",
       "        2.3589933,  2.9247348,  3.53242  ,  4.18877  ,  4.9022636,\n",
       "        5.683807 ,  6.547764 ,  7.5135846,  8.6085415,  9.872577 ,\n",
       "       11.367614 , 12.23157  , 13.1973915, 14.292348 , 15.556384 ,\n",
       "       17.05142  , 18.881197 , 21.805931 , 24.565006 , 28.753775 ,\n",
       "       32.07859  , 37.762394 ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a85f408-03b8-4ebb-b963-b0d1428b5d04' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a85f408-03b8-4ebb-b963-b0d1428b5d04' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>relative angular momentum</dd><dt><span>units :</span></dt><dd>10^7 m^2 s^-1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (time: 1460, lev: 32, lat: 361)>\n",
       "dask.array<truediv, shape=(1460, 32, 361), dtype=float32, chunksize=(12, 32, 361), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * time                 (time) datetime64[ns] 2021-01-01 ... 2021-12-31T18:0...\n",
       "  * lat                  (lat) float32 -90.0 -89.5 -89.0 ... 89.0 89.5 90.0\n",
       "  * lev                  (lev) float32 1e+03 975.0 950.0 ... 30.0 20.0 10.0\n",
       "    geopotential_height  (lev) float32 0.0 0.2076 0.4206 ... 28.75 32.08 37.76\n",
       "Attributes:\n",
       "    long_name:  relative angular momentum\n",
       "    units:      10^7 m^2 s^-1"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Mrelative = u_zon * a * np.cos(np.deg2rad(ds.lat)) / 1E7\n",
    "Mrelative.attrs['long_name'] = 'relative angular momentum'\n",
    "Mrelative.attrs['units'] = '10^7 m^2 s^-1'\n",
    "Mrelative.coords['geopotential_height'] = geopotential_height(ds.lev)\n",
    "Mrelative.geopotential_height.attrs['units'] = 'km'\n",
    "Mrelative"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00493d47-6d2d-44fd-90be-e55ede9cee00",
   "metadata": {},
   "source": [
    "Again, this is a very quick bit of code because it's lazy.\n",
    "\n",
    "### Taking time averages over months\n",
    "\n",
    "To match what's in Randall's figure, we need to take time averages over individual months (January and July). We can use `groupby` operations to our advantage here, and again take advantage of lazy execution.\n",
    "\n",
    "We define the averages over all months, but we will only actually compute the two months of interest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ae90bd26-ca01-4336-ae15-fe377d5c5f74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-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",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (month: 12, lev: 32, lat: 361)&gt;\n",
       "dask.array&lt;transpose, shape=(12, 32, 361), dtype=float32, chunksize=(1, 32, 361), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * lat                  (lat) float32 -90.0 -89.5 -89.0 ... 89.0 89.5 90.0\n",
       "  * lev                  (lev) float32 1e+03 975.0 950.0 ... 30.0 20.0 10.0\n",
       "    geopotential_height  (lev) float32 0.0 0.2076 0.4206 ... 28.75 32.08 37.76\n",
       "  * month                (month) int64 1 2 3 4 5 6 7 8 9 10 11 12</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>month</span>: 12</li><li><span class='xr-has-index'>lev</span>: 32</li><li><span class='xr-has-index'>lat</span>: 361</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6df19225-2b14-4589-a745-2b3019245a31' class='xr-array-in' type='checkbox' checked><label for='section-6df19225-2b14-4589-a745-2b3019245a31' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 32, 361), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 541.50 kiB </td>\n",
       "                        <td> 45.12 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12, 32, 361) </td>\n",
       "                        <td> (1, 32, 361) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 85 Graph Layers </td>\n",
       "                        <td> 12 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"198\" height=\"106\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"28\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"37\" x2=\"28\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"37\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"39\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"41\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"42\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"44\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"17\" y2=\"45\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"47\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"48\" />\n",
       "  <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"50\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"52\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"53\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"55\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 28.82798867199488,18.82798867199488 28.82798867199488,56.74647131583169 10.0,37.91848264383681\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"137\" y2=\"7\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
       "  <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"147\" y2=\"17\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"148\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"28\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"148\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 148.8279886719949,18.82798867199488 28.82798867199488,18.82798867199488\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"148\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"28\" y1=\"56\" x2=\"148\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"148\" y1=\"18\" x2=\"148\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"28.82798867199488,18.82798867199488 148.8279886719949,18.82798867199488 148.8279886719949,56.74647131583169 28.82798867199488,56.74647131583169\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"88.827989\" y=\"76.746471\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >361</text>\n",
       "  <text x=\"168.827989\" y=\"37.787230\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,168.827989,37.787230)\">32</text>\n",
       "  <text x=\"9.413994\" y=\"67.332477\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,9.413994,67.332477)\">12</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-9da2fbf9-098d-4adb-95e5-b3037de879d8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9da2fbf9-098d-4adb-95e5-b3037de879d8' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.5 -89.0 ... 89.5 90.0</div><input id='attrs-6a44edda-1767-4c1b-8bf4-3dcf7dcd9c4a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6a44edda-1767-4c1b-8bf4-3dcf7dcd9c4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61392e78-9386-4eea-9f61-f6adef6e02bf' class='xr-var-data-in' type='checkbox'><label for='data-61392e78-9386-4eea-9f61-f6adef6e02bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-90. , -89.5, -89. , ...,  89. ,  89.5,  90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 975.0 950.0 ... 20.0 10.0</div><input id='attrs-1c5d347d-1116-4d4e-bae2-ae9028fefc98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c5d347d-1116-4d4e-bae2-ae9028fefc98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c994386b-434b-4b35-99cf-abfef4a55a8a' class='xr-var-data-in' type='checkbox'><label for='data-c994386b-434b-4b35-99cf-abfef4a55a8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>hPa</dd><dt><span>long_name :</span></dt><dd>isobaric_level</dd></dl></div><div class='xr-var-data'><pre>array([1000.,  975.,  950.,  925.,  900.,  875.,  850.,  825.,  800.,  775.,\n",
       "        750.,  700.,  650.,  600.,  550.,  500.,  450.,  400.,  350.,  300.,\n",
       "        250.,  225.,  200.,  175.,  150.,  125.,  100.,   70.,   50.,   30.,\n",
       "         20.,   10.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geopotential_height</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.2076 0.4206 ... 32.08 37.76</div><input id='attrs-1abf656a-847b-496a-9778-58f5b8c9ebfb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1abf656a-847b-496a-9778-58f5b8c9ebfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08d16fd6-e1ff-4ecb-bfa0-ab20554de96a' class='xr-var-data-in' type='checkbox'><label for='data-08d16fd6-e1ff-4ecb-bfa0-ab20554de96a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd></dl></div><div class='xr-var-data'><pre>array([ 0.       ,  0.2076065,  0.4206053,  0.6392843,  0.8639567,\n",
       "        1.0949577,  1.3326555,  1.5774498,  1.8297771,  2.0901163,\n",
       "        2.3589933,  2.9247348,  3.53242  ,  4.18877  ,  4.9022636,\n",
       "        5.683807 ,  6.547764 ,  7.5135846,  8.6085415,  9.872577 ,\n",
       "       11.367614 , 12.23157  , 13.1973915, 14.292348 , 15.556384 ,\n",
       "       17.05142  , 18.881197 , 21.805931 , 24.565006 , 28.753775 ,\n",
       "       32.07859  , 37.762394 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-f53ecc8a-cd0b-4b19-b230-9caaa357046f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f53ecc8a-cd0b-4b19-b230-9caaa357046f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74d06a12-89e6-4ce5-9678-d3f2915d2689' class='xr-var-data-in' type='checkbox'><label for='data-74d06a12-89e6-4ce5-9678-d3f2915d2689' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2d7dd91b-958c-407b-9ad4-f587b8027069' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2d7dd91b-958c-407b-9ad4-f587b8027069' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (month: 12, lev: 32, lat: 361)>\n",
       "dask.array<transpose, shape=(12, 32, 361), dtype=float32, chunksize=(1, 32, 361), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * lat                  (lat) float32 -90.0 -89.5 -89.0 ... 89.0 89.5 90.0\n",
       "  * lev                  (lev) float32 1e+03 975.0 950.0 ... 30.0 20.0 10.0\n",
       "    geopotential_height  (lev) float32 0.0 0.2076 0.4206 ... 28.75 32.08 37.76\n",
       "  * month                (month) int64 1 2 3 4 5 6 7 8 9 10 11 12"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Mrelative_mon = Mrelative.groupby(Mrelative.time.dt.month).mean(dim='time')\n",
    "Mrelative_mon"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92fcc5be-1f4d-447f-a0ae-11f7f6d4d5a3",
   "metadata": {},
   "source": [
    "### Time to actually compute a result!\n",
    "\n",
    "By appending `.load()` to the end of our data objects, we force xarray to compute a result and store as numpy arrays rather than dask.\n",
    "\n",
    "We'll just do this for the two months that we want to plot, and store the results in a dictionary for later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c18ae017-dbf0-4bd1-bca3-8e946654f9c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "Mrelative_computed = {'January': Mrelative_mon.sel(month=1).load(),\n",
    "                      'July': Mrelative_mon.sel(month=7).load()\n",
    "                     }"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "991a68e6-134c-489e-8bbc-23d6d9186ef3",
   "metadata": {},
   "source": [
    "### And finally, let's make the plot!\n",
    "\n",
    "I'll try to match the format and contour intervals of Randall's figure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5ae47843-5558-478b-8dfe-1eb398f706f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1600x1200 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2,2, figsize=(16,12))\n",
    "\n",
    "for index, mon in enumerate(['January', 'July']):\n",
    "    thisMrelative = Mrelative_computed[mon]\n",
    "    thisMabs = thisMrelative + Mplanetary\n",
    "    CS = thisMabs.plot.contour(y='geopotential_height', levels=np.arange(10,300,20), xincrease=False, ax=axes[index,0])\n",
    "    axes[index,0].clabel(CS)\n",
    "    axes[index,0].set_title('Absolute angular momentum (' + mon + ' 2021)')\n",
    "    CS = thisMrelative.plot.contour(y='geopotential_height', levels=np.arange(-20,32,2), xincrease=False, ax=axes[index,1])\n",
    "    axes[index,1].clabel(CS)\n",
    "    axes[index,1].set_title('Relative angular momentum (' + mon + ' 2021)')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60bfcb4e-85be-4759-b230-bfaf7a0ec855",
   "metadata": {},
   "source": [
    "## Conservation of angular momentum\n",
    "\n",
    "### A motionless parcel moves poleward...\n",
    "\n",
    "The total angular momentum of a parcel is conserved in the absence of torques:\n",
    "\n",
    "$$\\frac{DM}{dt} = 0$$\n",
    "\n",
    "or in other words, the quantity\n",
    "\n",
    "$$\\Omega a^2 \\cos^2\\phi + u a \\cos\\phi $$\n",
    "\n",
    "is conserved for a moving parcel.\n",
    "\n",
    "The fact that we **live on a sphere** becomes an interesting part of this problem.\n",
    "\n",
    "Consider what happens to a parcel that starts out *motionless* ($u = 0$) at the equator ($\\phi = 0$). Its initial angular momentum is \n",
    "\n",
    "$$ M = \\Omega a^2 $$\n",
    "\n",
    "Now suppose this parcel moves toward the pole. Its *planetary* angular momentum decreases (since $\\cos\\phi$ is a decreasing function). This reflects the fact that the moment arm of the parcel (distance to the axis of rotation) gets smaller as the parcel moves poleward.\n",
    "\n",
    "So to conserve total $M$, the zonal wind must increase!\n",
    "\n",
    "Specifically in this situation, setting $M = \\Omega a^2$ and solving for $u$ gives\n",
    "\n",
    "$$ u = \\Omega a \\frac{ \\sin^2\\phi }{\\cos\\phi} $$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5cfabd9b-ffce-4173-94b3-06a5623520fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "u_conserved = (Omega * a * np.sin(np.deg2rad(ds.lat))**2 / np.cos(np.deg2rad(ds.lat)))\n",
    "u_conserved.attrs['long_name'] = 'zonal wind'\n",
    "u_conserved.attrs['units'] = 'm s-1'\n",
    "u_conserved.plot(xlim=(-70,70), ylim=(0,1000))\n",
    "plt.grid()\n",
    "plt.title('Zonal wind required for angular momentum conservation');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57b349a1-7ca5-4c51-b926-af172ab56f48",
   "metadata": {},
   "source": [
    "Key point here: notice that these required zonal wind values get very large (many hundreds of m/s)!\n",
    "\n",
    "The effect of the shrinking moment arm as a parcel moves poleward seems to require **much larger zonal winds** that we actually observe. \n",
    "\n",
    "*Keep an eye on this as we explore the angular momentum budget of the observed atmosphere more fully.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e44e289-0c75-48b8-ad91-37eb4b76cdda",
   "metadata": {},
   "source": [
    "## Torques on the atmosphere"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "def6be60-93e2-469c-9754-573f32441bbf",
   "metadata": {},
   "source": [
    "*Notes for this section haven't been written up yet. We will work on the board in class.*\n",
    "\n",
    "### Conservation of angular momentum and torques\n",
    "\n",
    "*in-class board work*\n",
    "\n",
    "### Global conservation and mountain torque\n",
    "\n",
    "*in-class board work*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61a634c2-9bce-469d-bbb1-23cdd69e4267",
   "metadata": {},
   "source": [
    "### Observed torques"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "faf36ed6-b72d-4e43-857d-a88682e1ec51",
   "metadata": {},
   "source": [
    ":::{figure-md} markdown-fig\n",
    "<img src=\"../images/Huang_torque.pdf\" alt=\"Zonally integrated torques\" class=\"bg-primary mb-1\" width=\"800px\">\n",
    "\n",
    "Observed zonally integrated torques on the atmosphere. Units are Hadleys per 3.8º latitude (1 Hadley = 10$^{18}$ kg m$^2$ s$^{-2}$. Source: {cite:t}`Huang:1999a`\n",
    ":::"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5233a2d-4a76-4342-a495-ec729431f0d1",
   "metadata": {},
   "source": [
    "## Fluxes of angular momentum\n",
    "\n",
    "The above figures of torques show that there is a net supply of angular momentum in the tropics and net sink of angular momentum in the midlatitudes.\n",
    "\n",
    "How does the angular momentum get redistributed with latitude?\n",
    "\n",
    "### Zonal and time averaged angular momentum budget\n",
    "\n",
    "We can write the angular momentum equation in flux form and in pressure coordinates, and then take zonal and time averages:\n",
    "\n",
    "$$ \\frac{\\partial \\overline{[M]}}{\\partial t} = -\\frac{1}{a \\cos\\phi} \\frac{\\partial}{\\partial \\phi} \\left( \\cos\\phi [\\overline{vM}] \\right) - \\frac{\\partial}{\\partial p} \\left( [\\overline{\\omega M}] \\right) - g \\left[\\frac{\\partial \\overline{z}}{\\partial \\lambda} \\right]$$\n",
    "\n",
    "and we can decompose the meridional flux $[\\overline{vM}]$ into mean and eddy components\n",
    "\n",
    "\\begin{align*}\n",
    "[\\overline{vM}] &= [\\overline{v}] \\Omega a^2 \\cos^2\\phi + [\\overline{uv}] a \\cos\\phi \\\\\n",
    "&= [\\overline{v}] \\Omega a^2 \\cos^2\\phi + [\\overline{u}][\\overline{v}]a \\cos\\phi + [\\overline{u}^* \\overline{v}^*] a \\cos\\phi + [\\overline{u^\\prime v^\\prime}]a \\cos\\phi \n",
    "\\end{align*}\n",
    "\n",
    "This equation says that the zonal, time mean meridional flux of angular momentum in comprised of\n",
    "\n",
    "1. meridional flux of planetary angular momentum\n",
    "2. meridonal flux of relative angular momentum by\n",
    "    - mean meridional circulations\n",
    "    - stationary eddies\n",
    "    - transient eddies"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4df7b9c0-30f2-4274-8a25-018f33c5b864",
   "metadata": {},
   "source": [
    "### A classic view of the vertical structure of momentum fluxes\n",
    "\n",
    ":::{figure-md} markdown-fig\n",
    "<img src=\"../images/PO_fig11.7.pdf\" alt=\"Momentum flux cross-sections\" class=\"bg-primary mb-1\" width=\"800px\">\n",
    "\n",
    "Zonal-mean cross section of the northward flux of momentum by all motions (a), transient eddies (b), stationary eddies (c), and mean meridional circulations (d) in m$^2$ s$^{-2}$ for annual-mean conditions. Source: {cite:t}`physicsofclimate`\n",
    ":::"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e2ec627-9742-4562-9519-aca63abcf6dc",
   "metadata": {},
   "source": [
    "### Let's try to recreate this figure from the CFSR data\n",
    "\n",
    "We need to compute $[\\overline{uv}]$ and its decomposition, so we'll need to load data for $v$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "579ef306-aa6c-4823-9772-00a28d80aea3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-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",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 1460, lat: 361, lon: 720, lev: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-01-01 ... 2021-12-31T18:00:00\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lon      (lon) float32 -180.0 -179.5 -179.0 -178.5 ... 178.5 179.0 179.5\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0\n",
       "Data variables:\n",
       "    v        (time, lev, lat, lon) float32 dask.array&lt;chunksize=(12, 32, 361, 720), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    description:    v 1000-10 hPa\n",
       "    year:           2021\n",
       "    source:         http://nomads.ncdc.noaa.gov/data.php?name=access#CFSR-data\n",
       "    references:     Saha, et. al., (2010)\n",
       "    created_by:     User: ab473731\n",
       "    creation_date:  Sat Jan  2 06:00:41 UTC 2021</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-b1a48621-7588-4445-9674-95bf41fe984f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b1a48621-7588-4445-9674-95bf41fe984f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1460</li><li><span class='xr-has-index'>lat</span>: 361</li><li><span class='xr-has-index'>lon</span>: 720</li><li><span class='xr-has-index'>lev</span>: 32</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ce8d78c6-d789-4390-8c09-9263b724dd78' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ce8d78c6-d789-4390-8c09-9263b724dd78' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-01-01 ... 2021-12-31T18:00:00</div><input id='attrs-81f75de7-c0e6-444b-9af0-266aa5525982' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81f75de7-c0e6-444b-9af0-266aa5525982' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27e41ec7-766c-4a95-8a21-13236d13483a' class='xr-var-data-in' type='checkbox'><label for='data-27e41ec7-766c-4a95-8a21-13236d13483a' 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>actual_range :</span></dt><dd>[1937256. 1946010.]</dd><dt><span>last_time :</span></dt><dd>2021-12-31 18:00:00</dd><dt><span>first_time :</span></dt><dd>2021-1-1 00:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 06:00:00</dd><dt><span>long_name :</span></dt><dd>initial time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-01-01T00:00:00.000000000&#x27;, &#x27;2021-01-01T06:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-01T12:00:00.000000000&#x27;, ..., &#x27;2021-12-31T06:00:00.000000000&#x27;,\n",
       "       &#x27;2021-12-31T12:00:00.000000000&#x27;, &#x27;2021-12-31T18:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.5 -89.0 ... 89.5 90.0</div><input id='attrs-e8619eeb-026f-46ff-9619-38ff28a69465' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8619eeb-026f-46ff-9619-38ff28a69465' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76c218c7-aaec-452f-8281-8dc90728d6de' class='xr-var-data-in' type='checkbox'><label for='data-76c218c7-aaec-452f-8281-8dc90728d6de' 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>actual_range :</span></dt><dd>[-90  90]</dd><dt><span>delta_y :</span></dt><dd>0.5</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd><dt><span>mapping :</span></dt><dd>cylindrical_equidistant_projection_grid</dd><dt><span>grid_resolution :</span></dt><dd>0.5_degrees</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>array([-90. , -89.5, -89. , ...,  89. ,  89.5,  90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.5 ... 179.0 179.5</div><input id='attrs-44d5ac19-adc5-4fd3-8bfa-4fb7e1093f95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44d5ac19-adc5-4fd3-8bfa-4fb7e1093f95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c4f33e7-404c-443c-9cab-25e6a086c412' class='xr-var-data-in' type='checkbox'><label for='data-1c4f33e7-404c-443c-9cab-25e6a086c412' 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>actual_range :</span></dt><dd>[-180.   179.5]</dd><dt><span>delta_x :</span></dt><dd>0.5</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd><dt><span>mapping :</span></dt><dd>cylindrical_equidistant_projection_grid</dd><dt><span>grid_resolution :</span></dt><dd>0.5_degrees</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>array([-180. , -179.5, -179. , ...,  178.5,  179. ,  179.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 975.0 950.0 ... 20.0 10.0</div><input id='attrs-0ca93d22-83ce-4d54-8581-53e55d1a9fc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ca93d22-83ce-4d54-8581-53e55d1a9fc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4d9a208-5832-4c28-b2e5-3c4fac438fad' class='xr-var-data-in' type='checkbox'><label for='data-e4d9a208-5832-4c28-b2e5-3c4fac438fad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>hPa</dd><dt><span>long_name :</span></dt><dd>isobaric_level</dd></dl></div><div class='xr-var-data'><pre>array([1000.,  975.,  950.,  925.,  900.,  875.,  850.,  825.,  800.,  775.,\n",
       "        750.,  700.,  650.,  600.,  550.,  500.,  450.,  400.,  350.,  300.,\n",
       "        250.,  225.,  200.,  175.,  150.,  125.,  100.,   70.,   50.,   30.,\n",
       "         20.,   10.], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3a2f5445-5c39-4432-b78c-d581b7650b86' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3a2f5445-5c39-4432-b78c-d581b7650b86' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 32, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-1c5f53f9-39f8-47a7-b149-26411225693c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c5f53f9-39f8-47a7-b149-26411225693c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34178f31-67e7-4f3a-a845-4bb7f80330ad' class='xr-var-data-in' type='checkbox'><label for='data-34178f31-67e7-4f3a-a845-4bb7f80330ad' 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>level_type :</span></dt><dd>isobaric_level (hPa)</dd><dt><span>units :</span></dt><dd>m s^-1</dd><dt><span>long_name :</span></dt><dd>meridional wind</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 45.24 GiB </td>\n",
       "                        <td> 380.74 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1460, 32, 361, 720) </td>\n",
       "                        <td> (12, 32, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </td>\n",
       "                        <td> 122 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"506\" height=\"110\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"2\" y1=\"0\" x2=\"2\" y2=\"25\" />\n",
       "  <line x1=\"6\" y1=\"0\" x2=\"6\" y2=\"25\" />\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" />\n",
       "  <line x1=\"14\" y1=\"0\" x2=\"14\" y2=\"25\" />\n",
       "  <line x1=\"18\" y1=\"0\" x2=\"18\" y2=\"25\" />\n",
       "  <line x1=\"21\" y1=\"0\" x2=\"21\" y2=\"25\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"25\" />\n",
       "  <line x1=\"33\" y1=\"0\" x2=\"33\" y2=\"25\" />\n",
       "  <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n",
       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"25\" />\n",
       "  <line x1=\"44\" y1=\"0\" x2=\"44\" y2=\"25\" />\n",
       "  <line x1=\"48\" y1=\"0\" x2=\"48\" y2=\"25\" />\n",
       "  <line x1=\"52\" y1=\"0\" x2=\"52\" y2=\"25\" />\n",
       "  <line x1=\"56\" y1=\"0\" x2=\"56\" y2=\"25\" />\n",
       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"25\" />\n",
       "  <line x1=\"63\" y1=\"0\" x2=\"63\" y2=\"25\" />\n",
       "  <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n",
       "  <line x1=\"71\" y1=\"0\" x2=\"71\" y2=\"25\" />\n",
       "  <line x1=\"74\" y1=\"0\" x2=\"74\" y2=\"25\" />\n",
       "  <line x1=\"78\" y1=\"0\" x2=\"78\" y2=\"25\" />\n",
       "  <line x1=\"81\" y1=\"0\" x2=\"81\" y2=\"25\" />\n",
       "  <line x1=\"85\" y1=\"0\" x2=\"85\" y2=\"25\" />\n",
       "  <line x1=\"89\" y1=\"0\" x2=\"89\" y2=\"25\" />\n",
       "  <line x1=\"93\" y1=\"0\" x2=\"93\" y2=\"25\" />\n",
       "  <line x1=\"97\" y1=\"0\" x2=\"97\" y2=\"25\" />\n",
       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n",
       "  <line x1=\"104\" y1=\"0\" x2=\"104\" y2=\"25\" />\n",
       "  <line x1=\"108\" y1=\"0\" x2=\"108\" y2=\"25\" />\n",
       "  <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n",
       "  <line x1=\"116\" y1=\"0\" x2=\"116\" y2=\"25\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1460</text>\n",
       "  <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"190\" y1=\"0\" x2=\"207\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"190\" y1=\"42\" x2=\"207\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"190\" y1=\"0\" x2=\"190\" y2=\"42\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"207\" y1=\"17\" x2=\"207\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"190.0,0.0 207.38252310357052,17.382523103570527 207.38252310357052,60.23996887578118 190.0,42.85744577221065\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"190\" y1=\"0\" x2=\"249\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"207\" y1=\"17\" x2=\"266\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"190\" y1=\"0\" x2=\"207\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"249\" y1=\"0\" x2=\"266\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"190.0,0.0 249.17808219178085,0.0 266.56060529535137,17.382523103570527 207.38252310357052,17.382523103570527\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"207\" y1=\"17\" x2=\"266\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"207\" y1=\"60\" x2=\"266\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"207\" y1=\"17\" x2=\"207\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"266\" y1=\"17\" x2=\"266\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"207.38252310357052,17.382523103570527 266.56060529535137,17.382523103570527 266.56060529535137,60.23996887578118 207.38252310357052,60.23996887578118\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"236.971564\" y=\"80.239969\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"286.560605\" y=\"38.811246\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,286.560605,38.811246)\">361</text>\n",
       "  <text x=\"188.691262\" y=\"71.548707\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,188.691262,71.548707)\">32</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-ff36f544-ab8b-4538-8804-d6b5eafb0c37' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ff36f544-ab8b-4538-8804-d6b5eafb0c37' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>v 1000-10 hPa</dd><dt><span>year :</span></dt><dd>2021</dd><dt><span>source :</span></dt><dd>http://nomads.ncdc.noaa.gov/data.php?name=access#CFSR-data</dd><dt><span>references :</span></dt><dd>Saha, et. al., (2010)</dd><dt><span>created_by :</span></dt><dd>User: ab473731</dd><dt><span>creation_date :</span></dt><dd>Sat Jan  2 06:00:41 UTC 2021</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 1460, lat: 361, lon: 720, lev: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-01-01 ... 2021-12-31T18:00:00\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lon      (lon) float32 -180.0 -179.5 -179.0 -178.5 ... 178.5 179.0 179.5\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0\n",
       "Data variables:\n",
       "    v        (time, lev, lat, lon) float32 dask.array<chunksize=(12, 32, 361, 720), meta=np.ndarray>\n",
       "Attributes:\n",
       "    description:    v 1000-10 hPa\n",
       "    year:           2021\n",
       "    source:         http://nomads.ncdc.noaa.gov/data.php?name=access#CFSR-data\n",
       "    references:     Saha, et. al., (2010)\n",
       "    created_by:     User: ab473731\n",
       "    creation_date:  Sat Jan  2 06:00:41 UTC 2021"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "v_ds = xr.open_dataset(cfsr_path + year + '/v.' + year + '.0p5.anl.nc', chunks={\"time\": 12})\n",
    "v_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7de04b9f-5205-4b14-8466-6091f7235d31",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-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",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (time: 1460, lev: 32, lat: 361, lon: 720)&gt;\n",
       "dask.array&lt;mul, shape=(1460, 32, 361, 720), dtype=float32, chunksize=(12, 32, 361, 720), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-01-01 ... 2021-12-31T18:00:00\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lon      (lon) float32 -180.0 -179.5 -179.0 -178.5 ... 178.5 179.0 179.5\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1460</li><li><span class='xr-has-index'>lev</span>: 32</li><li><span class='xr-has-index'>lat</span>: 361</li><li><span class='xr-has-index'>lon</span>: 720</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-84e3269e-8d11-4553-a617-1c00666c29fb' class='xr-array-in' type='checkbox' checked><label for='section-84e3269e-8d11-4553-a617-1c00666c29fb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(12, 32, 361, 720), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 45.24 GiB </td>\n",
       "                        <td> 380.74 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1460, 32, 361, 720) </td>\n",
       "                        <td> (12, 32, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 5 Graph Layers </td>\n",
       "                        <td> 122 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"506\" height=\"110\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"2\" y1=\"0\" x2=\"2\" y2=\"25\" />\n",
       "  <line x1=\"6\" y1=\"0\" x2=\"6\" y2=\"25\" />\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" />\n",
       "  <line x1=\"14\" y1=\"0\" x2=\"14\" y2=\"25\" />\n",
       "  <line x1=\"18\" y1=\"0\" x2=\"18\" y2=\"25\" />\n",
       "  <line x1=\"21\" y1=\"0\" x2=\"21\" y2=\"25\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"25\" />\n",
       "  <line x1=\"33\" y1=\"0\" x2=\"33\" y2=\"25\" />\n",
       "  <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n",
       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"25\" />\n",
       "  <line x1=\"44\" y1=\"0\" x2=\"44\" y2=\"25\" />\n",
       "  <line x1=\"48\" y1=\"0\" x2=\"48\" y2=\"25\" />\n",
       "  <line x1=\"52\" y1=\"0\" x2=\"52\" y2=\"25\" />\n",
       "  <line x1=\"56\" y1=\"0\" x2=\"56\" y2=\"25\" />\n",
       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"25\" />\n",
       "  <line x1=\"63\" y1=\"0\" x2=\"63\" y2=\"25\" />\n",
       "  <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n",
       "  <line x1=\"71\" y1=\"0\" x2=\"71\" y2=\"25\" />\n",
       "  <line x1=\"74\" y1=\"0\" x2=\"74\" y2=\"25\" />\n",
       "  <line x1=\"78\" y1=\"0\" x2=\"78\" y2=\"25\" />\n",
       "  <line x1=\"81\" y1=\"0\" x2=\"81\" y2=\"25\" />\n",
       "  <line x1=\"85\" y1=\"0\" x2=\"85\" y2=\"25\" />\n",
       "  <line x1=\"89\" y1=\"0\" x2=\"89\" y2=\"25\" />\n",
       "  <line x1=\"93\" y1=\"0\" x2=\"93\" y2=\"25\" />\n",
       "  <line x1=\"97\" y1=\"0\" x2=\"97\" y2=\"25\" />\n",
       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n",
       "  <line x1=\"104\" y1=\"0\" x2=\"104\" y2=\"25\" />\n",
       "  <line x1=\"108\" y1=\"0\" x2=\"108\" y2=\"25\" />\n",
       "  <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n",
       "  <line x1=\"116\" y1=\"0\" x2=\"116\" y2=\"25\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1460</text>\n",
       "  <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"190\" y1=\"0\" x2=\"207\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"190\" y1=\"42\" x2=\"207\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"190\" y1=\"0\" x2=\"190\" y2=\"42\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"207\" y1=\"17\" x2=\"207\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"190.0,0.0 207.38252310357052,17.382523103570527 207.38252310357052,60.23996887578118 190.0,42.85744577221065\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"190\" y1=\"0\" x2=\"249\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"207\" y1=\"17\" x2=\"266\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"190\" y1=\"0\" x2=\"207\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"249\" y1=\"0\" x2=\"266\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"190.0,0.0 249.17808219178085,0.0 266.56060529535137,17.382523103570527 207.38252310357052,17.382523103570527\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"207\" y1=\"17\" x2=\"266\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"207\" y1=\"60\" x2=\"266\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"207\" y1=\"17\" x2=\"207\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"266\" y1=\"17\" x2=\"266\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"207.38252310357052,17.382523103570527 266.56060529535137,17.382523103570527 266.56060529535137,60.23996887578118 207.38252310357052,60.23996887578118\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"236.971564\" y=\"80.239969\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"286.560605\" y=\"38.811246\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,286.560605,38.811246)\">361</text>\n",
       "  <text x=\"188.691262\" y=\"71.548707\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,188.691262,71.548707)\">32</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-fb394155-b4a1-4345-9085-a80490fe787a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fb394155-b4a1-4345-9085-a80490fe787a' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-01-01 ... 2021-12-31T18:00:00</div><input id='attrs-044591cc-758e-4f38-b7ce-e7908d241479' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-044591cc-758e-4f38-b7ce-e7908d241479' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c26e9a3c-97c9-45dc-a4d1-f30dbe5a977d' class='xr-var-data-in' type='checkbox'><label for='data-c26e9a3c-97c9-45dc-a4d1-f30dbe5a977d' 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>actual_range :</span></dt><dd>[1937256. 1946010.]</dd><dt><span>last_time :</span></dt><dd>2021-12-31 18:00:00</dd><dt><span>first_time :</span></dt><dd>2021-1-1 00:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 06:00:00</dd><dt><span>long_name :</span></dt><dd>initial time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-01-01T00:00:00.000000000&#x27;, &#x27;2021-01-01T06:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-01T12:00:00.000000000&#x27;, ..., &#x27;2021-12-31T06:00:00.000000000&#x27;,\n",
       "       &#x27;2021-12-31T12:00:00.000000000&#x27;, &#x27;2021-12-31T18:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.5 -89.0 ... 89.5 90.0</div><input id='attrs-fb792e68-7923-4b23-95b8-c0db6767d3e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb792e68-7923-4b23-95b8-c0db6767d3e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a85dc22-a7c1-489a-9535-38866e444b69' class='xr-var-data-in' type='checkbox'><label for='data-0a85dc22-a7c1-489a-9535-38866e444b69' 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>actual_range :</span></dt><dd>[-90  90]</dd><dt><span>delta_y :</span></dt><dd>0.5</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd><dt><span>mapping :</span></dt><dd>cylindrical_equidistant_projection_grid</dd><dt><span>grid_resolution :</span></dt><dd>0.5_degrees</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>array([-90. , -89.5, -89. , ...,  89. ,  89.5,  90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.5 ... 179.0 179.5</div><input id='attrs-dca82b06-d1e9-4a6b-8c8d-95dbaeb9b3ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dca82b06-d1e9-4a6b-8c8d-95dbaeb9b3ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06ac4d2f-e915-4b74-ad7f-627cdadba96d' class='xr-var-data-in' type='checkbox'><label for='data-06ac4d2f-e915-4b74-ad7f-627cdadba96d' 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>actual_range :</span></dt><dd>[-180.   179.5]</dd><dt><span>delta_x :</span></dt><dd>0.5</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd><dt><span>mapping :</span></dt><dd>cylindrical_equidistant_projection_grid</dd><dt><span>grid_resolution :</span></dt><dd>0.5_degrees</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>array([-180. , -179.5, -179. , ...,  178.5,  179. ,  179.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 975.0 950.0 ... 20.0 10.0</div><input id='attrs-9a60545a-313c-4b7b-9fe5-03073f4e7e9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a60545a-313c-4b7b-9fe5-03073f4e7e9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fb1c895-3522-4063-9c17-35db0eea966c' class='xr-var-data-in' type='checkbox'><label for='data-9fb1c895-3522-4063-9c17-35db0eea966c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>hPa</dd><dt><span>long_name :</span></dt><dd>isobaric_level</dd></dl></div><div class='xr-var-data'><pre>array([1000.,  975.,  950.,  925.,  900.,  875.,  850.,  825.,  800.,  775.,\n",
       "        750.,  700.,  650.,  600.,  550.,  500.,  450.,  400.,  350.,  300.,\n",
       "        250.,  225.,  200.,  175.,  150.,  125.,  100.,   70.,   50.,   30.,\n",
       "         20.,   10.], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-007e06e2-0a3b-489b-b291-b22506c79722' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-007e06e2-0a3b-489b-b291-b22506c79722' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (time: 1460, lev: 32, lat: 361, lon: 720)>\n",
       "dask.array<mul, shape=(1460, 32, 361, 720), dtype=float32, chunksize=(12, 32, 361, 720), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-01-01 ... 2021-12-31T18:00:00\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lon      (lon) float32 -180.0 -179.5 -179.0 -178.5 ... 178.5 179.0 179.5\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "u = ds.u\n",
    "v = v_ds.v\n",
    "uv = u * v\n",
    "uv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ff16b08a-ce41-4a26-b0d1-915a00cfde41",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-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",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (time: 1460, lev: 32, lat: 361)&gt;\n",
       "dask.array&lt;mean_agg-aggregate, shape=(1460, 32, 361), dtype=float32, chunksize=(12, 32, 361), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-01-01 ... 2021-12-31T18:00:00\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1460</li><li><span class='xr-has-index'>lev</span>: 32</li><li><span class='xr-has-index'>lat</span>: 361</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-80bec96a-d9ea-4ebc-be96-77955047ae6e' class='xr-array-in' type='checkbox' checked><label for='section-80bec96a-d9ea-4ebc-be96-77955047ae6e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(12, 32, 361), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 64.34 MiB </td>\n",
       "                        <td> 541.50 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1460, 32, 361) </td>\n",
       "                        <td> (12, 32, 361) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 7 Graph Layers </td>\n",
       "                        <td> 122 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"173\" height=\"150\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"80\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"29\" x2=\"80\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"29\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"33\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"36\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"40\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"44\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"48\" />\n",
       "  <line x1=\"32\" y1=\"22\" x2=\"32\" y2=\"51\" />\n",
       "  <line x1=\"35\" y1=\"25\" x2=\"35\" y2=\"55\" />\n",
       "  <line x1=\"39\" y1=\"29\" x2=\"39\" y2=\"59\" />\n",
       "  <line x1=\"43\" y1=\"33\" x2=\"43\" y2=\"62\" />\n",
       "  <line x1=\"47\" y1=\"37\" x2=\"47\" y2=\"66\" />\n",
       "  <line x1=\"50\" y1=\"40\" x2=\"50\" y2=\"70\" />\n",
       "  <line x1=\"54\" y1=\"44\" x2=\"54\" y2=\"74\" />\n",
       "  <line x1=\"58\" y1=\"48\" x2=\"58\" y2=\"77\" />\n",
       "  <line x1=\"61\" y1=\"51\" x2=\"61\" y2=\"81\" />\n",
       "  <line x1=\"65\" y1=\"55\" x2=\"65\" y2=\"85\" />\n",
       "  <line x1=\"69\" y1=\"59\" x2=\"69\" y2=\"88\" />\n",
       "  <line x1=\"73\" y1=\"63\" x2=\"73\" y2=\"92\" />\n",
       "  <line x1=\"76\" y1=\"66\" x2=\"76\" y2=\"96\" />\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"80\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 80.58823529411765,70.58823529411765 80.58823529411765,100.13852457018754 10.0,29.550289276069893\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"52\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"56\" y2=\"3\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"59\" y2=\"6\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"63\" y2=\"11\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"67\" y2=\"14\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"71\" y2=\"18\" />\n",
       "  <line x1=\"32\" y1=\"22\" x2=\"74\" y2=\"22\" />\n",
       "  <line x1=\"35\" y1=\"25\" x2=\"78\" y2=\"25\" />\n",
       "  <line x1=\"39\" y1=\"29\" x2=\"82\" y2=\"29\" />\n",
       "  <line x1=\"43\" y1=\"33\" x2=\"85\" y2=\"33\" />\n",
       "  <line x1=\"47\" y1=\"37\" x2=\"89\" y2=\"37\" />\n",
       "  <line x1=\"50\" y1=\"40\" x2=\"93\" y2=\"40\" />\n",
       "  <line x1=\"54\" y1=\"44\" x2=\"97\" y2=\"44\" />\n",
       "  <line x1=\"58\" y1=\"48\" x2=\"101\" y2=\"48\" />\n",
       "  <line x1=\"61\" y1=\"51\" x2=\"104\" y2=\"51\" />\n",
       "  <line x1=\"65\" y1=\"55\" x2=\"108\" y2=\"55\" />\n",
       "  <line x1=\"69\" y1=\"59\" x2=\"112\" y2=\"59\" />\n",
       "  <line x1=\"73\" y1=\"63\" x2=\"116\" y2=\"63\" />\n",
       "  <line x1=\"76\" y1=\"66\" x2=\"119\" y2=\"66\" />\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"123\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"80\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"52\" y1=\"0\" x2=\"123\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 52.85744577221065,0.0 123.4456810663283,70.58823529411765 80.58823529411765,70.58823529411765\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"123\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"80\" y1=\"100\" x2=\"123\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"80\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"123\" y1=\"70\" x2=\"123\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"80.58823529411765,70.58823529411765 123.4456810663283,70.58823529411765 123.4456810663283,100.13852457018754 80.58823529411765,100.13852457018754\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"102.016958\" y=\"120.138525\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >361</text>\n",
       "  <text x=\"143.445681\" y=\"85.363380\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,143.445681,85.363380)\">32</text>\n",
       "  <text x=\"35.294118\" y=\"84.844407\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,35.294118,84.844407)\">1460</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-7f5307bd-2f39-4e59-a955-39666cff091c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7f5307bd-2f39-4e59-a955-39666cff091c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-01-01 ... 2021-12-31T18:00:00</div><input id='attrs-72033eeb-b106-4123-a19f-8e90a677a545' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72033eeb-b106-4123-a19f-8e90a677a545' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6e06fb3-60e3-4074-9c1c-15c61ab1427a' class='xr-var-data-in' type='checkbox'><label for='data-c6e06fb3-60e3-4074-9c1c-15c61ab1427a' 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>actual_range :</span></dt><dd>[1937256. 1946010.]</dd><dt><span>last_time :</span></dt><dd>2021-12-31 18:00:00</dd><dt><span>first_time :</span></dt><dd>2021-1-1 00:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 06:00:00</dd><dt><span>long_name :</span></dt><dd>initial time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-01-01T00:00:00.000000000&#x27;, &#x27;2021-01-01T06:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-01T12:00:00.000000000&#x27;, ..., &#x27;2021-12-31T06:00:00.000000000&#x27;,\n",
       "       &#x27;2021-12-31T12:00:00.000000000&#x27;, &#x27;2021-12-31T18:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.5 -89.0 ... 89.5 90.0</div><input id='attrs-6652aa76-b01d-457d-9df7-1e9cfe388bc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6652aa76-b01d-457d-9df7-1e9cfe388bc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1e542f6-48a3-4b2f-bb7d-ed2b9336725d' class='xr-var-data-in' type='checkbox'><label for='data-b1e542f6-48a3-4b2f-bb7d-ed2b9336725d' 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>actual_range :</span></dt><dd>[-90  90]</dd><dt><span>delta_y :</span></dt><dd>0.5</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd><dt><span>mapping :</span></dt><dd>cylindrical_equidistant_projection_grid</dd><dt><span>grid_resolution :</span></dt><dd>0.5_degrees</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>array([-90. , -89.5, -89. , ...,  89. ,  89.5,  90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 975.0 950.0 ... 20.0 10.0</div><input id='attrs-537480cd-f7fc-4bc2-9fd0-78eba514c4aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-537480cd-f7fc-4bc2-9fd0-78eba514c4aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e511c3e7-ad40-4bb6-8497-513b9bbfb5a0' class='xr-var-data-in' type='checkbox'><label for='data-e511c3e7-ad40-4bb6-8497-513b9bbfb5a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>hPa</dd><dt><span>long_name :</span></dt><dd>isobaric_level</dd></dl></div><div class='xr-var-data'><pre>array([1000.,  975.,  950.,  925.,  900.,  875.,  850.,  825.,  800.,  775.,\n",
       "        750.,  700.,  650.,  600.,  550.,  500.,  450.,  400.,  350.,  300.,\n",
       "        250.,  225.,  200.,  175.,  150.,  125.,  100.,   70.,   50.,   30.,\n",
       "         20.,   10.], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ad4d0e80-ea9e-4328-91ee-9cee06708a72' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ad4d0e80-ea9e-4328-91ee-9cee06708a72' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (time: 1460, lev: 32, lat: 361)>\n",
       "dask.array<mean_agg-aggregate, shape=(1460, 32, 361), dtype=float32, chunksize=(12, 32, 361), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-01-01 ... 2021-12-31T18:00:00\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "uv_zon = uv.mean(dim='lon')\n",
    "uv_zon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "71a3c74d-b5c0-4968-8671-d311b1a90eff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-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",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (month: 12, lev: 32, lat: 361)&gt;\n",
       "dask.array&lt;transpose, shape=(12, 32, 361), dtype=float32, chunksize=(1, 32, 361), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>month</span>: 12</li><li><span class='xr-has-index'>lev</span>: 32</li><li><span class='xr-has-index'>lat</span>: 361</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5b5c495e-0c9b-46ef-aefe-3bd67155fc7a' class='xr-array-in' type='checkbox' checked><label for='section-5b5c495e-0c9b-46ef-aefe-3bd67155fc7a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 32, 361), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 541.50 kiB </td>\n",
       "                        <td> 45.12 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12, 32, 361) </td>\n",
       "                        <td> (1, 32, 361) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 84 Graph Layers </td>\n",
       "                        <td> 12 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"198\" height=\"106\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"28\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"37\" x2=\"28\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"37\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"39\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"41\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"42\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"44\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"17\" y2=\"45\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"47\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"48\" />\n",
       "  <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"50\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"52\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"53\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"55\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 28.82798867199488,18.82798867199488 28.82798867199488,56.74647131583169 10.0,37.91848264383681\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"137\" y2=\"7\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
       "  <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"147\" y2=\"17\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"148\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"28\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"148\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 148.8279886719949,18.82798867199488 28.82798867199488,18.82798867199488\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"148\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"28\" y1=\"56\" x2=\"148\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"148\" y1=\"18\" x2=\"148\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"28.82798867199488,18.82798867199488 148.8279886719949,18.82798867199488 148.8279886719949,56.74647131583169 28.82798867199488,56.74647131583169\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"88.827989\" y=\"76.746471\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >361</text>\n",
       "  <text x=\"168.827989\" y=\"37.787230\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,168.827989,37.787230)\">32</text>\n",
       "  <text x=\"9.413994\" y=\"67.332477\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,9.413994,67.332477)\">12</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-123eb072-92a1-4a00-9549-e756da911284' class='xr-section-summary-in' type='checkbox'  checked><label for='section-123eb072-92a1-4a00-9549-e756da911284' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.5 -89.0 ... 89.5 90.0</div><input id='attrs-42414e62-52a6-4b70-b1a2-3213669f7772' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-42414e62-52a6-4b70-b1a2-3213669f7772' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae0c37b7-11b0-4eb1-90a5-f55a59c64756' class='xr-var-data-in' type='checkbox'><label for='data-ae0c37b7-11b0-4eb1-90a5-f55a59c64756' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-90. , -89.5, -89. , ...,  89. ,  89.5,  90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 975.0 950.0 ... 20.0 10.0</div><input id='attrs-e90570c6-b16d-439d-bce3-d7efab9a9f50' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e90570c6-b16d-439d-bce3-d7efab9a9f50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77f7244e-2f72-4ab5-a1e2-118afdfadec0' class='xr-var-data-in' type='checkbox'><label for='data-77f7244e-2f72-4ab5-a1e2-118afdfadec0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1000.,  975.,  950.,  925.,  900.,  875.,  850.,  825.,  800.,  775.,\n",
       "        750.,  700.,  650.,  600.,  550.,  500.,  450.,  400.,  350.,  300.,\n",
       "        250.,  225.,  200.,  175.,  150.,  125.,  100.,   70.,   50.,   30.,\n",
       "         20.,   10.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-bfdbd8d8-d610-453d-ba83-87e97ca6bf50' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bfdbd8d8-d610-453d-ba83-87e97ca6bf50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42db5be8-70fd-4733-9d06-b9fe63dedee8' class='xr-var-data-in' type='checkbox'><label for='data-42db5be8-70fd-4733-9d06-b9fe63dedee8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d574a1f6-9ae0-42d9-b126-b5ba43ae3f4c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d574a1f6-9ae0-42d9-b126-b5ba43ae3f4c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (month: 12, lev: 32, lat: 361)>\n",
       "dask.array<transpose, shape=(12, 32, 361), dtype=float32, chunksize=(1, 32, 361), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "uv_zon_mon = uv_zon.groupby(uv_zon.time.dt.month).mean(dim='time')\n",
    "uv_zon_mon"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e438117d-c318-46ae-82d9-2ea33ce16f25",
   "metadata": {},
   "source": [
    "Let's define terms in the decomposition\n",
    "\n",
    "$$ [\\overline{uv}] = [\\overline{u}][\\overline{v}] + [\\overline{u}^* \\overline{v}^*]  + [\\overline{u^\\prime v^\\prime}] $$\n",
    "\n",
    "We'll work on $[\\overline{u}][\\overline{v}]$ first:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "887690cf-3d14-4756-aa6a-4ad17ced26ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-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",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (month: 12, lev: 32, lat: 361)&gt;\n",
       "dask.array&lt;mul, shape=(12, 32, 361), dtype=float32, chunksize=(1, 32, 361), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>month</span>: 12</li><li><span class='xr-has-index'>lev</span>: 32</li><li><span class='xr-has-index'>lat</span>: 361</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f6cf307c-820a-4270-8140-9d301ab13dff' class='xr-array-in' type='checkbox' checked><label for='section-f6cf307c-820a-4270-8140-9d301ab13dff' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 32, 361), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 541.50 kiB </td>\n",
       "                        <td> 45.12 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12, 32, 361) </td>\n",
       "                        <td> (1, 32, 361) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 151 Graph Layers </td>\n",
       "                        <td> 12 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"198\" height=\"106\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"28\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"37\" x2=\"28\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"37\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"39\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"41\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"42\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"44\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"17\" y2=\"45\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"47\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"48\" />\n",
       "  <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"50\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"52\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"53\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"55\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 28.82798867199488,18.82798867199488 28.82798867199488,56.74647131583169 10.0,37.91848264383681\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"137\" y2=\"7\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
       "  <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"147\" y2=\"17\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"148\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"28\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"148\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 148.8279886719949,18.82798867199488 28.82798867199488,18.82798867199488\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"148\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"28\" y1=\"56\" x2=\"148\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"148\" y1=\"18\" x2=\"148\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"28.82798867199488,18.82798867199488 148.8279886719949,18.82798867199488 148.8279886719949,56.74647131583169 28.82798867199488,56.74647131583169\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"88.827989\" y=\"76.746471\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >361</text>\n",
       "  <text x=\"168.827989\" y=\"37.787230\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,168.827989,37.787230)\">32</text>\n",
       "  <text x=\"9.413994\" y=\"67.332477\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,9.413994,67.332477)\">12</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-9834db6e-2dbe-4c47-827c-b5cbac6050e4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9834db6e-2dbe-4c47-827c-b5cbac6050e4' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.5 -89.0 ... 89.5 90.0</div><input id='attrs-2bd4b856-13d2-4c9f-852f-132988e4faa8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2bd4b856-13d2-4c9f-852f-132988e4faa8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-290dfa2d-46d1-4253-8da8-f57fdfd88e12' class='xr-var-data-in' type='checkbox'><label for='data-290dfa2d-46d1-4253-8da8-f57fdfd88e12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-90. , -89.5, -89. , ...,  89. ,  89.5,  90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 975.0 950.0 ... 20.0 10.0</div><input id='attrs-74d66daf-09ff-4083-a530-9e93d5982c01' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-74d66daf-09ff-4083-a530-9e93d5982c01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bfaf767-5d84-4c6d-87bd-b2c5d75e9692' class='xr-var-data-in' type='checkbox'><label for='data-1bfaf767-5d84-4c6d-87bd-b2c5d75e9692' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1000.,  975.,  950.,  925.,  900.,  875.,  850.,  825.,  800.,  775.,\n",
       "        750.,  700.,  650.,  600.,  550.,  500.,  450.,  400.,  350.,  300.,\n",
       "        250.,  225.,  200.,  175.,  150.,  125.,  100.,   70.,   50.,   30.,\n",
       "         20.,   10.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-5521ba76-5e4d-4b74-9aa9-9285979c5103' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5521ba76-5e4d-4b74-9aa9-9285979c5103' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41d4973e-d3f0-458d-8e2b-b712d37ab8b1' class='xr-var-data-in' type='checkbox'><label for='data-41d4973e-d3f0-458d-8e2b-b712d37ab8b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e811a63a-0a25-4863-996a-f48a59741802' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e811a63a-0a25-4863-996a-f48a59741802' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (month: 12, lev: 32, lat: 361)>\n",
       "dask.array<mul, shape=(12, 32, 361), dtype=float32, chunksize=(1, 32, 361), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "u_zon_mon = u_zon.groupby(u_zon.time.dt.month).mean(dim='time')\n",
    "v_zon = v.mean(dim='lon')\n",
    "v_zon_mon = v_zon.groupby(v_zon.time.dt.month).mean(dim='time')\n",
    "flux_mmc = u_zon_mon * v_zon_mon\n",
    "flux_mmc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40b70279-3480-4c9b-ae0f-62dafdf9f652",
   "metadata": {},
   "source": [
    "And now work on $[\\overline{u}^* \\overline{v}^*]$:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "95b67bb3-b289-4bed-a1a5-12ffd5cc11e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-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",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;v&#x27; (time: 1460, lev: 32, lat: 361, lon: 720)&gt;\n",
       "dask.array&lt;sub, shape=(1460, 32, 361, 720), dtype=float32, chunksize=(12, 32, 361, 720), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-01-01 ... 2021-12-31T18:00:00\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lon      (lon) float32 -180.0 -179.5 -179.0 -178.5 ... 178.5 179.0 179.5\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'v'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1460</li><li><span class='xr-has-index'>lev</span>: 32</li><li><span class='xr-has-index'>lat</span>: 361</li><li><span class='xr-has-index'>lon</span>: 720</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ae908592-52a1-4991-84b3-6ed3c49f18ce' class='xr-array-in' type='checkbox' checked><label for='section-ae908592-52a1-4991-84b3-6ed3c49f18ce' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(12, 32, 361, 720), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 45.24 GiB </td>\n",
       "                        <td> 380.74 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1460, 32, 361, 720) </td>\n",
       "                        <td> (12, 32, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 7 Graph Layers </td>\n",
       "                        <td> 122 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"506\" height=\"110\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"2\" y1=\"0\" x2=\"2\" y2=\"25\" />\n",
       "  <line x1=\"6\" y1=\"0\" x2=\"6\" y2=\"25\" />\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" />\n",
       "  <line x1=\"14\" y1=\"0\" x2=\"14\" y2=\"25\" />\n",
       "  <line x1=\"18\" y1=\"0\" x2=\"18\" y2=\"25\" />\n",
       "  <line x1=\"21\" y1=\"0\" x2=\"21\" y2=\"25\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"25\" />\n",
       "  <line x1=\"33\" y1=\"0\" x2=\"33\" y2=\"25\" />\n",
       "  <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n",
       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"25\" />\n",
       "  <line x1=\"44\" y1=\"0\" x2=\"44\" y2=\"25\" />\n",
       "  <line x1=\"48\" y1=\"0\" x2=\"48\" y2=\"25\" />\n",
       "  <line x1=\"52\" y1=\"0\" x2=\"52\" y2=\"25\" />\n",
       "  <line x1=\"56\" y1=\"0\" x2=\"56\" y2=\"25\" />\n",
       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"25\" />\n",
       "  <line x1=\"63\" y1=\"0\" x2=\"63\" y2=\"25\" />\n",
       "  <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n",
       "  <line x1=\"71\" y1=\"0\" x2=\"71\" y2=\"25\" />\n",
       "  <line x1=\"74\" y1=\"0\" x2=\"74\" y2=\"25\" />\n",
       "  <line x1=\"78\" y1=\"0\" x2=\"78\" y2=\"25\" />\n",
       "  <line x1=\"81\" y1=\"0\" x2=\"81\" y2=\"25\" />\n",
       "  <line x1=\"85\" y1=\"0\" x2=\"85\" y2=\"25\" />\n",
       "  <line x1=\"89\" y1=\"0\" x2=\"89\" y2=\"25\" />\n",
       "  <line x1=\"93\" y1=\"0\" x2=\"93\" y2=\"25\" />\n",
       "  <line x1=\"97\" y1=\"0\" x2=\"97\" y2=\"25\" />\n",
       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n",
       "  <line x1=\"104\" y1=\"0\" x2=\"104\" y2=\"25\" />\n",
       "  <line x1=\"108\" y1=\"0\" x2=\"108\" y2=\"25\" />\n",
       "  <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n",
       "  <line x1=\"116\" y1=\"0\" x2=\"116\" y2=\"25\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1460</text>\n",
       "  <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"190\" y1=\"0\" x2=\"207\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"190\" y1=\"42\" x2=\"207\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"190\" y1=\"0\" x2=\"190\" y2=\"42\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"207\" y1=\"17\" x2=\"207\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"190.0,0.0 207.38252310357052,17.382523103570527 207.38252310357052,60.23996887578118 190.0,42.85744577221065\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"190\" y1=\"0\" x2=\"249\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"207\" y1=\"17\" x2=\"266\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"190\" y1=\"0\" x2=\"207\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"249\" y1=\"0\" x2=\"266\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"190.0,0.0 249.17808219178085,0.0 266.56060529535137,17.382523103570527 207.38252310357052,17.382523103570527\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"207\" y1=\"17\" x2=\"266\" y2=\"17\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"207\" y1=\"60\" x2=\"266\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"207\" y1=\"17\" x2=\"207\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"266\" y1=\"17\" x2=\"266\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"207.38252310357052,17.382523103570527 266.56060529535137,17.382523103570527 266.56060529535137,60.23996887578118 207.38252310357052,60.23996887578118\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"236.971564\" y=\"80.239969\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"286.560605\" y=\"38.811246\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,286.560605,38.811246)\">361</text>\n",
       "  <text x=\"188.691262\" y=\"71.548707\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,188.691262,71.548707)\">32</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-f19da2c5-776b-4c17-89ed-d6753a4484b4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f19da2c5-776b-4c17-89ed-d6753a4484b4' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-01-01 ... 2021-12-31T18:00:00</div><input id='attrs-2ba08080-ea54-43d6-8cf0-f42ecbc7d69f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ba08080-ea54-43d6-8cf0-f42ecbc7d69f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6770b056-4fd8-4d9c-a13f-662501676d57' class='xr-var-data-in' type='checkbox'><label for='data-6770b056-4fd8-4d9c-a13f-662501676d57' 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>actual_range :</span></dt><dd>[1937256. 1946010.]</dd><dt><span>last_time :</span></dt><dd>2021-12-31 18:00:00</dd><dt><span>first_time :</span></dt><dd>2021-1-1 00:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 06:00:00</dd><dt><span>long_name :</span></dt><dd>initial time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-01-01T00:00:00.000000000&#x27;, &#x27;2021-01-01T06:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-01T12:00:00.000000000&#x27;, ..., &#x27;2021-12-31T06:00:00.000000000&#x27;,\n",
       "       &#x27;2021-12-31T12:00:00.000000000&#x27;, &#x27;2021-12-31T18:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.5 -89.0 ... 89.5 90.0</div><input id='attrs-2abe5d62-b5f0-4b4a-921e-e8bb31102f75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2abe5d62-b5f0-4b4a-921e-e8bb31102f75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e2cb21c-9b04-42a2-96b5-955ff89212ef' class='xr-var-data-in' type='checkbox'><label for='data-6e2cb21c-9b04-42a2-96b5-955ff89212ef' 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>actual_range :</span></dt><dd>[-90  90]</dd><dt><span>delta_y :</span></dt><dd>0.5</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd><dt><span>mapping :</span></dt><dd>cylindrical_equidistant_projection_grid</dd><dt><span>grid_resolution :</span></dt><dd>0.5_degrees</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>array([-90. , -89.5, -89. , ...,  89. ,  89.5,  90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.5 ... 179.0 179.5</div><input id='attrs-21a2fd01-78d7-41d3-b932-40e309fde83e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21a2fd01-78d7-41d3-b932-40e309fde83e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-635420a7-70cf-4962-889a-05d47decf287' class='xr-var-data-in' type='checkbox'><label for='data-635420a7-70cf-4962-889a-05d47decf287' 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>actual_range :</span></dt><dd>[-180.   179.5]</dd><dt><span>delta_x :</span></dt><dd>0.5</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd><dt><span>mapping :</span></dt><dd>cylindrical_equidistant_projection_grid</dd><dt><span>grid_resolution :</span></dt><dd>0.5_degrees</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>array([-180. , -179.5, -179. , ...,  178.5,  179. ,  179.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 975.0 950.0 ... 20.0 10.0</div><input id='attrs-f7635103-7449-44f1-b077-405cfdcf22e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7635103-7449-44f1-b077-405cfdcf22e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-458ed543-70ed-4941-ae72-49cc8ddc2a40' class='xr-var-data-in' type='checkbox'><label for='data-458ed543-70ed-4941-ae72-49cc8ddc2a40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>hPa</dd><dt><span>long_name :</span></dt><dd>isobaric_level</dd></dl></div><div class='xr-var-data'><pre>array([1000.,  975.,  950.,  925.,  900.,  875.,  850.,  825.,  800.,  775.,\n",
       "        750.,  700.,  650.,  600.,  550.,  500.,  450.,  400.,  350.,  300.,\n",
       "        250.,  225.,  200.,  175.,  150.,  125.,  100.,   70.,   50.,   30.,\n",
       "         20.,   10.], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8ec6be67-b07b-47bb-acc8-90e4c358776a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8ec6be67-b07b-47bb-acc8-90e4c358776a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'v' (time: 1460, lev: 32, lat: 361, lon: 720)>\n",
       "dask.array<sub, shape=(1460, 32, 361, 720), dtype=float32, chunksize=(12, 32, 361, 720), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-01-01 ... 2021-12-31T18:00:00\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lon      (lon) float32 -180.0 -179.5 -179.0 -178.5 ... 178.5 179.0 179.5\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ustar = (u - u_zon)\n",
    "vstar = (v - v_zon)\n",
    "vstar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "defc716e-e726-413a-a3d7-db4eb10a6150",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-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",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (month: 12, lev: 32, lat: 361)&gt;\n",
       "dask.array&lt;mean_agg-aggregate, shape=(12, 32, 361), dtype=float32, chunksize=(1, 32, 361), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>month</span>: 12</li><li><span class='xr-has-index'>lev</span>: 32</li><li><span class='xr-has-index'>lat</span>: 361</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1208a633-de6c-4e18-8b6d-070727ce5aa1' class='xr-array-in' type='checkbox' checked><label for='section-1208a633-de6c-4e18-8b6d-070727ce5aa1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 32, 361), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 541.50 kiB </td>\n",
       "                        <td> 45.12 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12, 32, 361) </td>\n",
       "                        <td> (1, 32, 361) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 159 Graph Layers </td>\n",
       "                        <td> 12 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"198\" height=\"106\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"28\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"37\" x2=\"28\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"37\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"39\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"41\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"42\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"44\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"17\" y2=\"45\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"47\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"48\" />\n",
       "  <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"50\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"52\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"53\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"55\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 28.82798867199488,18.82798867199488 28.82798867199488,56.74647131583169 10.0,37.91848264383681\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"137\" y2=\"7\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
       "  <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"147\" y2=\"17\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"148\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"28\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"148\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 148.8279886719949,18.82798867199488 28.82798867199488,18.82798867199488\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"148\" y2=\"18\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"28\" y1=\"56\" x2=\"148\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"148\" y1=\"18\" x2=\"148\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"28.82798867199488,18.82798867199488 148.8279886719949,18.82798867199488 148.8279886719949,56.74647131583169 28.82798867199488,56.74647131583169\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"88.827989\" y=\"76.746471\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >361</text>\n",
       "  <text x=\"168.827989\" y=\"37.787230\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,168.827989,37.787230)\">32</text>\n",
       "  <text x=\"9.413994\" y=\"67.332477\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,9.413994,67.332477)\">12</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-a84ca3ea-6352-4aa2-a038-d36e7bd5988f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a84ca3ea-6352-4aa2-a038-d36e7bd5988f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.5 -89.0 ... 89.5 90.0</div><input id='attrs-c50e18c4-bd60-464e-89a0-f06c4ec80488' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c50e18c4-bd60-464e-89a0-f06c4ec80488' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2ca42d3-07bd-4521-96bb-8b3673d53c34' class='xr-var-data-in' type='checkbox'><label for='data-d2ca42d3-07bd-4521-96bb-8b3673d53c34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-90. , -89.5, -89. , ...,  89. ,  89.5,  90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 975.0 950.0 ... 20.0 10.0</div><input id='attrs-9629bec1-c7be-410f-a8ea-0f7686745913' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9629bec1-c7be-410f-a8ea-0f7686745913' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-126fa8b2-90a3-4e04-97b6-eebdc7417afa' class='xr-var-data-in' type='checkbox'><label for='data-126fa8b2-90a3-4e04-97b6-eebdc7417afa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1000.,  975.,  950.,  925.,  900.,  875.,  850.,  825.,  800.,  775.,\n",
       "        750.,  700.,  650.,  600.,  550.,  500.,  450.,  400.,  350.,  300.,\n",
       "        250.,  225.,  200.,  175.,  150.,  125.,  100.,   70.,   50.,   30.,\n",
       "         20.,   10.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-788abaa9-9cd1-47d3-a2e6-2f31b1396302' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-788abaa9-9cd1-47d3-a2e6-2f31b1396302' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1e49df9-468a-4000-866c-254452ce6ab0' class='xr-var-data-in' type='checkbox'><label for='data-d1e49df9-468a-4000-866c-254452ce6ab0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-725cdd48-d630-4ccb-8447-5751ea7c63c8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-725cdd48-d630-4ccb-8447-5751ea7c63c8' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (month: 12, lev: 32, lat: 361)>\n",
       "dask.array<mean_agg-aggregate, shape=(12, 32, 361), dtype=float32, chunksize=(1, 32, 361), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ustar_mon = ustar.groupby(u.time.dt.month).mean(dim='time')\n",
    "vstar_mon = vstar.groupby(v.time.dt.month).mean(dim='time')\n",
    "flux_stationary = (ustar_mon * vstar_mon).mean(dim='lon')\n",
    "flux_stationary"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87dcfcd9-fd8b-4c6a-ae8f-8f040f9cfda4",
   "metadata": {},
   "source": [
    "And finally we'll work on $[\\overline{u^\\prime v^\\prime}]$.\n",
    "\n",
    "Here we need to be careful to be consistent in the time interval we're using to define the average $(\\overline{~})$ and the deviation away from that average $(~^\\prime)$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "26ef2845-7c11-40c3-aba8-526c6a3b8504",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/knight/anaconda_aug22/envs/aug22_env/lib/python3.10/site-packages/xarray/core/indexing.py:1374: PerformanceWarning: Slicing is producing a large chunk. To accept the large\n",
      "chunk and silence this warning, set the option\n",
      "    >>> with dask.config.set(**{'array.slicing.split_large_chunks': False}):\n",
      "    ...     array[indexer]\n",
      "\n",
      "To avoid creating the large chunks, set the option\n",
      "    >>> with dask.config.set(**{'array.slicing.split_large_chunks': True}):\n",
      "    ...     array[indexer]\n",
      "  return self.array[key]\n",
      "/knight/anaconda_aug22/envs/aug22_env/lib/python3.10/site-packages/xarray/core/indexing.py:1374: PerformanceWarning: Slicing is producing a large chunk. To accept the large\n",
      "chunk and silence this warning, set the option\n",
      "    >>> with dask.config.set(**{'array.slicing.split_large_chunks': False}):\n",
      "    ...     array[indexer]\n",
      "\n",
      "To avoid creating the large chunks, set the option\n",
      "    >>> with dask.config.set(**{'array.slicing.split_large_chunks': True}):\n",
      "    ...     array[indexer]\n",
      "  return self.array[key]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-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",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (lev: 32, lat: 361, month: 12)&gt;\n",
       "dask.array&lt;transpose, shape=(32, 361, 12), dtype=float32, chunksize=(32, 361, 1), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lev</span>: 32</li><li><span class='xr-has-index'>lat</span>: 361</li><li><span class='xr-has-index'>month</span>: 12</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-70a78e11-52b6-4c40-89f5-ed5a7dd3aa64' class='xr-array-in' type='checkbox' checked><label for='section-70a78e11-52b6-4c40-89f5-ed5a7dd3aa64' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(32, 361, 1), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 541.50 kiB </td>\n",
       "                        <td> 45.12 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (32, 361, 12) </td>\n",
       "                        <td> (32, 361, 1) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 269 Graph Layers </td>\n",
       "                        <td> 12 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"114\" height=\"192\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"32\" y2=\"22\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"120\" x2=\"32\" y2=\"142\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"32\" y1=\"22\" x2=\"32\" y2=\"142\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 32.30498979049224,22.304989790492243 32.30498979049224,142.30498979049224 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"42\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"32\" y1=\"22\" x2=\"64\" y2=\"22\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"32\" y2=\"22\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"12\" y1=\"0\" x2=\"34\" y2=\"22\" />\n",
       "  <line x1=\"15\" y1=\"0\" x2=\"37\" y2=\"22\" />\n",
       "  <line x1=\"18\" y1=\"0\" x2=\"40\" y2=\"22\" />\n",
       "  <line x1=\"20\" y1=\"0\" x2=\"42\" y2=\"22\" />\n",
       "  <line x1=\"23\" y1=\"0\" x2=\"45\" y2=\"22\" />\n",
       "  <line x1=\"26\" y1=\"0\" x2=\"48\" y2=\"22\" />\n",
       "  <line x1=\"28\" y1=\"0\" x2=\"50\" y2=\"22\" />\n",
       "  <line x1=\"31\" y1=\"0\" x2=\"53\" y2=\"22\" />\n",
       "  <line x1=\"34\" y1=\"0\" x2=\"56\" y2=\"22\" />\n",
       "  <line x1=\"36\" y1=\"0\" x2=\"58\" y2=\"22\" />\n",
       "  <line x1=\"39\" y1=\"0\" x2=\"61\" y2=\"22\" />\n",
       "  <line x1=\"42\" y1=\"0\" x2=\"64\" y2=\"22\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 42.0075807423913,0.0 64.31257053288354,22.304989790492243 32.30498979049224,22.304989790492243\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"32\" y1=\"22\" x2=\"64\" y2=\"22\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"32\" y1=\"142\" x2=\"64\" y2=\"142\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"32\" y1=\"22\" x2=\"32\" y2=\"142\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"34\" y1=\"22\" x2=\"34\" y2=\"142\" />\n",
       "  <line x1=\"37\" y1=\"22\" x2=\"37\" y2=\"142\" />\n",
       "  <line x1=\"40\" y1=\"22\" x2=\"40\" y2=\"142\" />\n",
       "  <line x1=\"42\" y1=\"22\" x2=\"42\" y2=\"142\" />\n",
       "  <line x1=\"45\" y1=\"22\" x2=\"45\" y2=\"142\" />\n",
       "  <line x1=\"48\" y1=\"22\" x2=\"48\" y2=\"142\" />\n",
       "  <line x1=\"50\" y1=\"22\" x2=\"50\" y2=\"142\" />\n",
       "  <line x1=\"53\" y1=\"22\" x2=\"53\" y2=\"142\" />\n",
       "  <line x1=\"56\" y1=\"22\" x2=\"56\" y2=\"142\" />\n",
       "  <line x1=\"58\" y1=\"22\" x2=\"58\" y2=\"142\" />\n",
       "  <line x1=\"61\" y1=\"22\" x2=\"61\" y2=\"142\" />\n",
       "  <line x1=\"64\" y1=\"22\" x2=\"64\" y2=\"142\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"32.30498979049224,22.304989790492243 64.31257053288354,22.304989790492243 64.31257053288354,142.30498979049224 32.30498979049224,142.30498979049224\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"48.308780\" y=\"162.304990\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >12</text>\n",
       "  <text x=\"84.312571\" y=\"82.304990\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,84.312571,82.304990)\">361</text>\n",
       "  <text x=\"11.152495\" y=\"151.152495\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,11.152495,151.152495)\">32</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-66572d50-d9c8-4854-9195-928c7d7c21a2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-66572d50-d9c8-4854-9195-928c7d7c21a2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.5 -89.0 ... 89.5 90.0</div><input id='attrs-84e6b1a9-419b-46aa-a71a-3cd3e227c6ce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-84e6b1a9-419b-46aa-a71a-3cd3e227c6ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1065829-2e6e-4ef0-af47-d89c917640c6' class='xr-var-data-in' type='checkbox'><label for='data-a1065829-2e6e-4ef0-af47-d89c917640c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-90. , -89.5, -89. , ...,  89. ,  89.5,  90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 975.0 950.0 ... 20.0 10.0</div><input id='attrs-010d6d3d-e9f9-436b-bb6b-822aaa5c3887' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-010d6d3d-e9f9-436b-bb6b-822aaa5c3887' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c0c923b-3dd9-41cf-a00a-7ca2a2cf5cb5' class='xr-var-data-in' type='checkbox'><label for='data-7c0c923b-3dd9-41cf-a00a-7ca2a2cf5cb5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1000.,  975.,  950.,  925.,  900.,  875.,  850.,  825.,  800.,  775.,\n",
       "        750.,  700.,  650.,  600.,  550.,  500.,  450.,  400.,  350.,  300.,\n",
       "        250.,  225.,  200.,  175.,  150.,  125.,  100.,   70.,   50.,   30.,\n",
       "         20.,   10.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-8f6d931f-961c-41a0-b48f-0b96acd634c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8f6d931f-961c-41a0-b48f-0b96acd634c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-290aeb34-ad84-4ebb-94e8-4e2741da8671' class='xr-var-data-in' type='checkbox'><label for='data-290aeb34-ad84-4ebb-94e8-4e2741da8671' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c79b0ffa-d1e6-4a32-930c-c704e36d73f7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c79b0ffa-d1e6-4a32-930c-c704e36d73f7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (lev: 32, lat: 361, month: 12)>\n",
       "dask.array<transpose, shape=(32, 361, 12), dtype=float32, chunksize=(32, 361, 1), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lev      (lev) float32 1e+03 975.0 950.0 925.0 900.0 ... 50.0 30.0 20.0 10.0\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ubar_mon = u.groupby(u.time.dt.month).mean(dim='time')\n",
    "vbar_mon = v.groupby(v.time.dt.month).mean(dim='time')\n",
    "\n",
    "uprime_mon = u.groupby(u.time.dt.month) - ubar_mon\n",
    "vprime_mon = v.groupby(v.time.dt.month) - vbar_mon\n",
    "\n",
    "flux_transient = (uprime_mon * vprime_mon).groupby(u.time.dt.month).mean(dim=('time','lon'))\n",
    "flux_transient\n",
    "# Let's not worry for now about the complaints about inefficient chunking"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31320312-c3bc-4287-93b2-e4741f990b21",
   "metadata": {},
   "source": [
    "#### Time to actually compute some results!\n",
    "\n",
    "As before, we'll carry out the calculation for the months of January and July:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6e72ecdd-bcb1-47ec-8da6-3b0fc59590b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "flux_total_computed = {'January': uv_zon_mon.sel(month=1).load(),\n",
    "                      'July': uv_zon_mon.sel(month=7).load()\n",
    "                     }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4be7afb8-cc62-49af-8a1e-e065f0ff6492",
   "metadata": {},
   "outputs": [],
   "source": [
    "flux_mmc_computed = {'January': flux_mmc.sel(month=1).load(),\n",
    "                     'July': flux_mmc.sel(month=7).load()\n",
    "                    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "fb3dc936-5723-4afe-b6a1-86190c80cdd3",
   "metadata": {},
   "outputs": [],
   "source": [
    "flux_stationary_computed = {'January': flux_stationary.sel(month=1).load(),\n",
    "                            'July': flux_stationary.sel(month=7).load()\n",
    "                           }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "68862fad-4f58-4038-b05e-8af4e6788327",
   "metadata": {},
   "outputs": [],
   "source": [
    "flux_transient_computed = {'January': flux_transient.sel(month=1).load(),\n",
    "                           'July': flux_transient.sel(month=7).load()\n",
    "                          }"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "188704c1-5208-428e-9398-028b8ce02b83",
   "metadata": {},
   "source": [
    "### Now it's time to make some plots\n",
    "\n",
    "Let's make a plot like the one above from Peixoto and Oort showing the vertical cross-section of the fluxes and their decomposition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "5bd0e56c-c9e3-4228-ba8d-c948d3047eb5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 800x1200 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "month = 'January'\n",
    "levs = np.arange(-80,85,10)\n",
    "\n",
    "fig, axes = plt.subplots(4,1, figsize=(8,12))\n",
    "\n",
    "for num, flux in enumerate([flux_total_computed,\n",
    "                             flux_mmc_computed,\n",
    "                             flux_stationary_computed,\n",
    "                             flux_transient_computed]\n",
    "                           ):\n",
    "    CS = flux[month].plot.contour(ax=axes[num],\n",
    "                                  yincrease=False, \n",
    "                                  levels=levs,\n",
    "                                 )\n",
    "    axes[num].clabel(CS)\n",
    "\n",
    "axes[0].set_title('Total momentum flux $[\\overline{uv}]$ (January)')\n",
    "axes[1].set_title('Momentum flux by MMC $[\\overline{u}][\\overline{v}]$ (January)')\n",
    "axes[2].set_title('Momentum flux by stationary eddies $[\\overline{u}^* \\overline{v}^*]$ (January)')\n",
    "axes[3].set_title('Momentum flux by transient eddies $[\\overline{u^\\prime v^\\prime}]$ (January)');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "297238cc-d2d3-4dd5-a8d5-53902878be47",
   "metadata": {},
   "source": [
    "A few things to note here:\n",
    "- The transient eddy term is large at upper levels\n",
    "- The stationary eddy term is also large in the Northerm Hemisphere winter (stationary waves)\n",
    "- MMC term is smaller but carries the signature of the overturning circulation\n",
    "\n",
    "#### What does this look like in the opposite season?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9ac8b9d9-6e4e-4f8f-9b88-1a04a36d81ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAsAAAAPyCAYAAABy6mn9AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd5xcV3n+v+eWqTuzvUmrbnW5W9i429iADSZgigFjMC1AYkIJhJBAQknohM4vhNAM2DSb2GAw2LhhW+5Fkm11aSVt7zv9lnN+f5y5s7NVK2llyfY8n898dmfmzr3ntnOf857nfV6hlFJUUEEFFVRQQQUVVFDBCwTG0W5ABRVUUEEFFVRQQQUVPJuoEOAKKqigggoqqKCCCl5QqBDgCiqooIIKKqigggpeUKgQ4AoqqKCCCiqooIIKXlCoEOAKKqigggoqqKCCCl5QqBDgCiqooIIKKqigggpeUKgQ4AoqqKCCCiqooIIKXlCoEOAKKqigggoqqKCCCl5QqBDgCiqooIIKKqigggpeUKgQ4AoqqKCCCiqooIIKXlCoEOAKKqigggoqqKCCCl5QqBDgCip4AUEIMavXXXfdNet13n///XzqU59ieHj4kNv14x//GCEEe/bsOeR1PN8xF8f5SOKXv/wla9euJRqNIoTgiSeeOGrn9eqrry5dy+vWrQNmf+0f7uuRRx6ZVRs/85nPsGbNGqSUwNg9MNvfT8ShHusf/OAHzJ8/n0wmc0jbraCC5yoqBLiCCl5A2LBhw7jXpZdeSjQanfT5KaecMut13n///Xz6058+ZonZ8wXH8nHu6+vjqquuYtmyZdx6661s2LCBFStWHNU2tbS0sGHDBq677joAlFJH5DU4OMiGDRv4xCc+Meu2dXZ28qUvfYnPfOYzGMbRfQy/7W1vIx6P86UvfemotqOCCp5tWEe7ARVUUMGzhzPOOGPc+8bGRgzDmPR5BRUcDLZt24brurzlLW/hvPPOO9rNASAcDj8r13VtbS1nnHEGW7ZsmfVvvvGNb1BTU8Pll19+BFs2O1iWxXve8x4++9nP8rGPfYxYLHa0m1RBBc8KKhHgCiqoYFrce++9vOQlLyGRSBCLxTjzzDO55ZZbSt9/6lOf4qMf/SgAS5YsGSeh2LFjB29/+9tZvnw5sViM+fPnc9lll7Fp06ZDbs+nPvUphBBs3LiR17/+9VRXV1NXV8eHP/xhPM9j69atvPzlLyeRSLB48eIpo1oH2qe52s727dt585vfTFNTE+FwmNWrV/Od73xnyu089dRTvOlNb6K6uprm5mbe8Y53MDIyMqvjDHrKf/HixdMer7ncr4m4+uqrOfvsswG44oorEEJw/vnnT7vsbNqZz+c5+eSTOe6448Ydh+7ublpaWjj//PPxff+AbZsKTU1N/N3f/d2kz1/0ohdx6aWXlt6/4hWvYNmyZZOWU0qxfv16zjrrrEPavuM4/OAHP+DNb37zAaO/sz1eE/HXv/4VIQTXX3/9pO+uvfZahBA8/PDDpc+uvPJKRkdH+cUvfjH7Hamgguc4KgS4ggoqmBJ33303F154ISMjI/zgBz/g+uuvJ5FIcNlll/HLX/4SgHe96128//3vB+DGG28cJ6Ho7Oykvr6eL3zhC9x666185zvfwbIsTj/9dLZu3XpYbXvDG97AiSeeyA033MC73/1uvva1r/GhD32IV7/61bziFa/gt7/9LRdeeCEf+9jHuPHGGw9qn+ZiO08//TTr169n8+bNfPWrX+X3v/89r3jFK/iHf/gHPv3pT0/azmtf+1pWrFjBDTfcwD//8z9z3XXX8aEPfaj0/UzH+dk8flPhk5/8ZInYf+5zn2PDhg1897vfPaR2BYhEIvzqV7+it7eXd7zjHQBIKbnyyitRSnH99ddjmuZBr7e9vZ2+vr5Jx83zPDZu3Dju85NOOondu3eTTqfHLXvttdfy6KOP8o1vfOMQ9gwefPBBBgYGuOCCCw7p97PBOeecw8knnzxpwAXw7W9/m/Xr17N+/frSZy0tLaxatWrSQLCCCp7XUBVUUMELFm9729tUPB6f8rszzjhDNTU1qVQqVfrM8zy1bt061dbWpqSUSimlvvzlLytA7d69e8ZteZ6nHMdRy5cvVx/60IfGffejH/1oVuv493//dwWor371q+M+P+mkkxSgbrzxxtJnruuqxsZGdfnllx/0Ph3udl72speptrY2NTIyMu7311xzjYpEImpwcHDcdr70pS+NW+7v/u7vVCQSKbVHqZmP89ve9ja1aNGiaY/XxPeHul/T4c4771SA+vWvfz3u84nndbbtDPDLX/5SAerrX/+6+rd/+zdlGIb685//fMD2TLed3/zmNwpQjz322LjPH3/8cQWoG264YdK2H3jggdJn6XRazZs3T1199dWT1h3s68MPPzxj2774xS8qQHV3dx/w9wdzvCYe6+D9448/XlrmoYceUoD6yU9+MmmdV155pWpubp6x7RVU8HxCJQJcQQUVTEImk+HBBx/kda97HVVVVaXPTdPkqquuYv/+/QeM4nqex+c+9znWrFlDKBTCsixCoRDbt2/nmWeeOaz2vfKVrxz3fvXq1QghuOSSS0qfWZbFcccdR3t7+yHv06FsJ5/P85e//IXXvOY1xGIxPM8rvS699FLy+TwPPPDAuPW+6lWvGvf+hBNOIJ/P09vbe7CHZlY4lP06GnjDG97A+973Pj760Y/yH//xH/zLv/wLF1988SGv75FHHiEUCpWcIQI8+uijAOMiwCeeeCLAOMnOF77wBUZHR/nc5z53yG3o7OxECEFDQ8Mhr2M2eNOb3kRTU9O4KPC3vvUtGhsbueKKKyYt39TURG9vL57nHdF2VVDBsYIKAa6gggomYWhoCKUUra2tk76bN28eAAMDAzOu48Mf/jCf/OQnefWrX83vfvc7HnzwQR5++GFOPPFEcrncYbWvrq5u3PtQKEQsFiMSiUz6PJ/PA4e2T4eynYGBATzP41vf+ha2bY97BRrT/v7+cb+vr68f9z4cDgMc9nGaDoeyX0cL73jHO3BdF8uy+Id/+IfDWtfDDz/M8ccfj23b4z5/9NFHqaurG6e3DbTrAQHet28fX/3qV/mXf/mXKa+h2SKXy2Hb9iFJOA4G4XCY97znPVx33XUMDw/T19fHr371K971rneVrq9yRCIRlFJH/XxXUMGzhYoLRAUVVDAJtbW1GIZBV1fXpO86OzsBDhjB+tnPfsZb3/rWSdGy/v5+ampq5qyts8Vc7NNstxNElf/+7/9+ymWWLFly2NspRyQSoVAoTPp8ItE+2jjYdmYyGa666ipWrFhBT08P73rXu7jpppsOefuPP/44r33tayd9ftttt03SBRuGwbp160oE+GMf+xgtLS18+MMfPuTtg77GHMchk8kQj8dnXPZwz+v73vc+vvCFL/DDH/6QfD6P53m8973vnXLZwcFBwuHwuNmRCip4PqMSAa6gggomIR6Pc/rpp3PjjTeOi0JKKfnZz35GW1tbyed1umilEGJSpOmWW26ho6PjCLd+ahzMPh0OYrEYF1xwAY8//jgnnHACp5122qTXxIjvbDBTVHjx4sX09vbS09NT+sxxHP70pz8d+o4cARxsO9/73veyd+9ebrzxRn7wgx9w880387Wvfe2Qtu04DoODg8yfP3/c5zfccAM7duyYMqHwxBNPZNOmTTzwwAP84he/4Mtf/vKU0dODwapVqwDYuXPnAZc93PPa2trK61//er773e/y3//931x22WUsXLhwymV37drFmjVrZrXeCip4PqBCgCuooIIp8fnPf76Urf6b3/yGm2++mUsvvZTNmzfzla98pWTDdPzxxwPa23TDhg088sgjpFIpXvnKV/LjH/+Yr3/969xxxx18+ctf5u1vfzttbW3H/D4dLr7xjW+wd+9ezjnnHH784x9z11138bvf/Y6vfe1rXHjhhYe0zumOM2j7MdM0eeMb38gf/vAHbrzxRl760pceslXYkcLBtPN///d/+dnPfsZ3vvMd1q5dy2tf+1quueYaPvaxj/HQQw8d9LZDoRBLly7lpptuYufOnXR2dvLd736Xf/zHfwSYlgD39/fzjne8g3PPPXfK6PHBIrCIm6gDD1B+Dc7Fef3ABz7Azp072bdvH9dcc82Uy0gpeeihh46oM0UFFRxrqBDgCiqoYEqcd9553HHHHcTjca6++mre+MY3MjIyws033zwuieb888/n4x//OL/73e84++yzWb9+fckm6i1veQuf//znueyyy7j55pu58cYbp/RWPdb26XCxZs0aHnvsMdatW8cnPvEJXvrSl/LOd76T3/zmN7zkJS85pHVOd5xBSypuuukmhoeHed3rXsdHP/pRXv/61/PWt751zvZpLjDbdm7atIl/+Id/4G1vextXX3116fOvfOUrnHDCCVxxxRWHVBHvJz/5Cb7vs3btWs466yz27NnDxz/+cWB6AgywdetWvv71rx/09qbCggULOOeccyZJObLZLMC4CPNcnNcXvehFLF68mNWrV0977d11112MjIxw5ZVXHsIeVVDBcxNCKaWOdiMqqKCCCiqoYK5w9dVXl4qxCCGOaMKZUgrf97n22mt55zvfycMPP8xpp502429uuOEGrrjiCtrb20uSjA984AN8+9vfZnh4mEQiMWft27hxIyeeeCLf+c53piwAAnDVVVexa9cu7rvvvjnbbgUVHOuoJMFVUEEFFVTwvEN7ezu2bbN27Vo2b958xLZz00038ZrXvOagfnP55Zezfv16Pv/5z/P2t7+dhx9+mB/+8Ie86lWvmjPyu3PnTtrb20uuFeWR9InL/fKXv+SOO+6Yk+1WUMFzBZUIcAUVVFBBBc8r7Nmzp+SUEI1GWbt27RHb1vDwMDt27Ci9X7NmDbFY7IC/27x5MzfffDPf//73GRkZ4ZJLLuGb3/zmISVIToWrr76an/70p6xevZrvfe9705ZuvvPOO9m+fTt/+7d/OyfbraCC5woqBLiCCiqooIIKKqigghcUKklwFVRQQQUVVFBBBRW8oFAhwBVUUEEFFVRQQQUVvKBQIcAVVFBBBRVUUEEFFbygUCHAFVRQQQUVVFBBBRW8oFCxQZslpJR0dnaSSCTmrFpUBRVUUEEFFVRQQQVzB6UUqVSKefPmYRgzxHlVBbPCvn37FFB5VV5H7SVMWxmhqLJiCWUn6lS4pklF6uepWPNiFW9dohCGMuyQqlt9hrJiSSVMW9WuXK9O+6cfqXXv/oIClBWtUmuu/oxa+cZ/1usVQgGqefVp6q3XPqROueIaBahz3/Vx9ZrP/LD0fcvKE9Xl//kTdfzL36gAZVi2WnbCqeqzN/xV/c8Du9W37nxKXXTF25Vpmso0TbXuxeerf/nh/6kXvfRVClChcEQB6nM/vkHd/Pguterk9QpQr3jDW9T/3nSHWnX8ybp9tq0A9ZUf/Up98r/+W0Vj8aN+3I+1V2rnk+rNl19Wen/CmpUqv/cptWzxwnHLfeVT/6xu+/VPVChkj/vcMAzV3dWlrnjDG8Z9/ta3vlU9tXmzamlpOer7eCy8zj//fNXX26vmz59f+qyqqkp9+9vfVjffdNOz1o4NGzaoz37mM5PatvHJJ9XFF188J9s499xzVU93t3r729+uALVy5UrVvmeP+vSnP63C4fBRPxfPxuuM009XQ4ODatGiRaXPotGo+tp//Zf60623HvJ6P/iBD6gnHn9cLWhrK3122mmnqQcfeEC9+c1vPur7fSy/LrvsMtXZ0aGam5vHn5OvfU39+U9/OuDv9+3bNyOvq9igzRIjIyPU1NSwY/v2KY3KTdPEDoWOQsumhlKq9AIQAEIgiq/nKvYPZpAoDASxkEkkZBG1zcPaJ9eXPLx3GADbhAU1MarCFvHQ2HqVUvSmC3SnC/RnHAazDlnHH7eeqG3SmojQELepiYYImwbtQxm29mbY2pcmlfem3L5pCAwBddEQ1TGLiGUSMg1CpoFtCkxDcN+eUTZ1ZSjfSyH0eRVCUBez+dyly2lKjL8GPal4cO8I37innf+45Dgyjs8ftg7iSckpbdXURizWtyX447ZB/vBMPx88u41FdVE27B1l51CBC5fW4ErFQNZl76hDddjkkuNqUAqUgke7UtzXPspLl9exP+3SlghxfGOUgZzHE71Z2qpsVtZH8aVCAk8PuqQKHqe3RLFNwVBB0peTtMYMEiEDx/PxpaIjI/EUxHFRHHwXZQCGEMVjq/8KQ2AGnxkCUxhYhtDH8TCuHyUlvpRIKVFS6tYewW611h8mI2I4hj7XQklq5CijRhW+GJvUS5BHAE6kRl8sZbAtC88pIH2v9J1hWliWjZPPBntW+uM4ju5LhABE8eIr+38CRHlfU/a/eJb7oPLH23SPupnaY1sWnu+P+61lmijA9/0pf3OwbVNKzdgGy7JK11gAo1jdbmLblFI4hYI+5uUrCd6XHX/DMErbNE0TAXhl+2QYBoYQ+L5fugOD9SulCEciz4lniVJK35vF56FpmtNGBac630EVwfLz7bouvjfWn5uWhWVZUx6PqY6tKH4ui22bSxTy+Wmv9fI2HUt8ZToYhoFpGLje+GfnVPegUopCoQBKkclkWLpsGcPDw1RXV0+7/ooEYpYILuxEIkF9QwOGYaCUwnNdpJRH7IIqJ7JKqVInVrZA6YEbLHOgG8owDIxiJyCEGFt/+cO72GEKwxjXUR5ttNkRRnIOsnh/FwCpDGqjISKHSISlUixyTPozDgA9DvQ4ClN4JCI2jfEQjYkw1dWC5WW/yzoeXakC+0dy7BnM4kpFlwNdjg9DOQBsU9DSWMvKhU0YQpDKuwxmXHrTBfrSDhnHK+3LkIShNIAsvsZIrrRs1rRVYxoC0zCwTIFVJHQXrWwkbBn0eYKuARdPSjxfkfckj+4dpj/jsKQ5ybVP9mkiiCDrQk/Wp7E6TlaEeKY/R2MiwqO9eTYNOvgKqiI2D3SkqYmGaKwKYRkeOQ+qk0l8qXB9Rch2aU26LKhPYtt5hvMeW4Z86uMh4mGPlC9IJpNIKdnalwEEUkEiUYXjSWzlonIF0r6B8k08WSQChotQiqq4HmyGTAOjSGYNQdn/+hgYxUFEQHiPhet1rmILE/fF6xwmWVONEU2OfdadobYqhlFVW9q237sLI1ZDuCo5aR35XI5oVUI/nIvfea6L7/sk6xomb9N1dR8xtnNj+1l8fzD7K4TQfYsQpb7oWENA9iKWVerbpZQ4hQK2bWNaz87j0ykUwLKI2XbpvLiOg1SKqmj0oK91KSWyjNQKITSZE4JoLFZan+/7eK5LOBIpkUClFL7naQJtHl7g4VjDVOdbSUmhUMCybayy8+37Pq7jlN7PNBgIBiSxeLz0mZQS13EIFYlzeRs819X/6w/GBkrF9+XbMUxzEvH2YrHSOqaDHQod0fLgcwXP8/A9j6qqqlIfIX0f1/P0c9C2xy0fDHSM4r4d6PqsEOBDgOd5hEKhEnkETRQPBxNH8aWo0mFGGcovgGAbshitOtj1lJPmoxVJTkZDJCI2edcn5/pkCi6uL+lN5QlZBomwTcQ2sczZnw9DCFY3J8i5Pn3pAiN5j1Tew1eK4ZzLcM5l73CO+dURmhNhrOK5joUsltVbLKuPc9ZiRW86T+dogcGsw3BORzpdX9GbcejNOOO2mYzZJGN2WRv03+AyOBjqtHMwW/rf9SVSKcKWiVKK2rjN/sEMncM5/uaU+ZhCsKw2zmdueZoLj6tncV2MHb1pBlIFvU+2ScQyGMi47B7M8oFzl9KcCBO2TO7Y3setW3rpGc3TnS6QLvj4SrG8sYqhnIuvwJOSxkSIulgIx5c8uG+Y7X1pfKkYyjrsH83RlgzTOazbHJD/tOMTsYoDsuLnsZBFUzJCyNRRgOca5vL+UFKC744Nfn0f5TkgDIRpYcRrkOkBsMMIK4RMD4LvI2KTyS/o/kpJCWUPQSnltP3YxAfNtO2cMGBnwvvyqKfyfT3M8zxC4fAxSYIty8J1XUSR9JWTv2cLpmXhOg6+YeiooZT4vj/rczIRvu+Pi16WMGEAUz77Vf7ZoW73WIcQYtrzPZEsmqaJGY0CYxH8A8H3fVCqFPUNyG75uZjNILJ8meC3dtk5sSaQ6ucyDMPAQ/dNQf8QHMep7kHDMPB9f9a86flxlJ5lKCnHRmnFi3HiA3rihVxOlpWUYzdB8UY4EIRhlKa0yqdYgxuvfKqxnKRObJNSCun7+MVtl7fPMIxx0eVSVLj4O9/zmHhZlchw+TYnRq2L35tzFDEQQhANWURDFtXRECM5h1TexfEkA54mcqYhCJkGYcskZBmELBPTmHnbUdtkYW2stO9Zx2cw59I5kqfgSXYNZNk1kCURtkiELWIhk6htErYMbNOgNRFhXjJaWp8vFaN5l6Gcy0jeZSTvkXV9so5P3vMpeLJEdOUsGG8Q4QybBmFLSyRClkHY1FP5liHY0ZfhyX3DtCQjCAHdo3lGMi6vWNvKCS3VeMUNnbuikV8+up+/bOuj4Pp4vuJvTprPoroYIcugYyTH7sEsdbEQYUt3NOsX1rK5a5SfPbqfZQ1xBjIFUnmPV65tJef57BnOMi8RJhEyyRVcIqbB/ESYp3tSJCMWfRmH+qjNwuooAh0dt0wTwxB0jBbwFLQkIvSkdcRkYU2UqF3pogBw8/gD+0pv5WgvjIKIJjFrWxFV9QgpkUOdoCSYIYy6+QhzarJiFUlVMBvk+z5SSkLh8GHdo9MNjIOZKen7k6QDx6osSwiBaVl6qtXzSpGlIPjxbME0TZRl4XsenueVps8PtT81DANVnJYH/TyZljAU+/MXCiadb8PAPsD5nu674HoPgk3THePDnSk6FgeOcwWjyBuC84FS+L6Pbdtzst8VDfAsMTo6SnV1NYMDA0Sj0XHfBdNhSik8z9PTS4d5WMsjrkdKgqAmkOiZlgtuZDlLwj4dJu7TXO2XLyWpvEfO9XC8qaPbhhBFTa1BVVgT6NmtW9GTKtA1mifrTj+yFGiCapsCu0hSI5ZJxNYkNWQFmlMBSrfZKUoJ/OKgKGinQVH7QPEBJRW+UnhSleQHri9xfUnBl7i+/m1fqsA92/sYyjgooKEqxIltNSxtrCo7Dprsb+4YoSeVpzYa4kWLa1nbqiUWSim29aX59l93868XL6cqbOEXt5spuNy9c4DBnEssbOnlgbhtMj8ZYUF1ZNwxybk+fVkPy4DqiI1t6p2yTYPFdXpKUCnFQNahfTBH3vOJ2iaLamPUx0Ozjq68EDD+vlP6whAghDH2vfQJvhDmzNe3VyRUwbSqZVkHPa09LqIbRHzL3geD6KlgGAamZR1TEqtjFRNlcGKOj1kw1WyHQmNTzcVpevN5FFF8NiCLAbKpZlmDQFYQ0TRMEyM4j2WDjeAe0m/GJIkT83heCPeNKpLeYABhWdYBr/+Ar42MjJBMJqddrkKAZ4nyAxqPxUpRjECD43se7gF0NyUUtYtiGiL4XLioJz7gSv8zlnBnFKPSAYGe6lI7EkRfKoXjSZxilNXx/FLkM0BdPEwiMnV0bKaBQd71Gcm7ZByPrCNxfR+p0IR0NmHcIwghKCXO6b9GMQpuYBuCiG0SMvX58IsE3PM1sfWkwlcSKRVS6WPoS4U9jZREFsm4KURRj2xgFqPQVjEibRiCntEC+0by2KbuwPUgwCARtlhcF5u0TqPsmFfI75HFVLNUE78P8gLGyRkmvJ8tglmmcilVBXOHqYjXbCKYwW9dx8EwzdJ0uue6eJ73nEl2O5oYN0s6MZHQNPWs74QZ19mclwoODbMlwJVh3SHAtKxxCRC+75fIbxBJmTRCUUEG9XOD4B4I40j7LPRwyrLGIshlncFEaUVJLlHsOA5pik9oshexy/SNSkdMPV/iSVWa1p9u30rtnqB/m7je4axDwfMpeD5KQU0sBAgcX5L3JHnXJ+9JTch9iS/HEokMQTFhi3HEr7Q9xpwMSuSyjGTahtDyjiLJLUWXp4HrSwYzBfIzRLHLj6FlGaVtm2XtMI2yz4tJZ9NhUZ3J4vr4tN9P3Oa4/X8e3CfHMqY7vsGAddYD+vL1FSNV4xwf5ni2p4LJCJLzpvv8QNKWQO5RSp4qSlamczZ4ISMYGMrirN1UMkajmKAVRNMnzoY83xIIn6uoEODDRDByBq3LssoydcfhBX6xB4kE5ckEpU6kTFpRSo7xfXBdrOJg43A7C0MIwpY5I/GFMSlFyDKmtFebGB2Ohy2iIZOc4zGac0lG7EkEOtB/lyeVPBudnypGafOuT9bxxhHfkBVEbMcit2OWYQaGmBsCWunkn1tQSuG67ji9YjBtOxXBnTglW8HRQTDQmEpuMptoeylwI0Qpscq0rOeEU8CRRkm/XhbAmQ5BkuDE41a6R57Het3nIioE+DARjJiDEV/lQTB7BJHeoKso72iCTjjQKc4VET4QVNHJYDTtoJTWqkZDJvGQRciaTIhtU9vhpaUiZBmTyK4QgmzBI1Vw8aUiGjJJRGysI7QfvlTkXY+s41NwtUtDOaK2SW08PK20oYIXLpRS2l6r+IB/tu65Cg4fQgjC4TBweAPsiUGKFyrKdafTOSaVZHtH2RmpgkNHhQAfBnzPG3dzBH7AFRwayqPElmUhfR+vmP0ZEOFAUzVXjhITYZkGDVURTQZ8Sc71yTkeqZwe6NimQX1VmFDRZkwIgScVBU8SmyKpbjTnMJx1iIctYiGLTMFFSkV9VWTSsgeDILobSDpcf0zzPBFhyyBiW8TDVoX4VjAllFK62EWxPwuFQs+q1VcFc4cKCTt0BMR3ko9uoF8/AgncFRw9VAjwIcLzvNJNEniXeq6LkvJ565P4bCLQpBmmOY4IBxFiz3VLFilHQk8lhCBkmYQsk+poCF8qHE97D5cvAxRJqCQWGk8Y8q5PKu9SHQtRHdXG6oaAoYxDzvFm7UJRDl9KMgWPdMHD9aeOTNimlm9EQ7r9M2l0K3hhIbiH1Az6xWPVk7eCCo40AjcMGAvIBM+XCuF9/qFCgA8BTqGgI79F2xIhBKFwuFQdpjJtOHcIiLAZJNEVfUTLyTCuO2MpyrmAaYx5D5dDKYXjSww0YQ7aDJBzPQwhiJf9JhayGMo4JWnCTNOVQZQ3cLTIe/4kizc78AAuOj4cbBGQCp7/CAonzMaeca78NSuo4LmI8p643BKugucnKgT4IBCLxbQpuVKEQiEUlDRzpYIPEzSgFcwdgukny7ZLD/VgtO4XR+4zJiIeAUgFjucTssayfYUQ2qvXk5qgTiCkvtL2YTB5unIgnS+5RfjT2KqFLIN4yCIetg9Y3KOCFyYCJwfP9ycl7QQJU4EV42x8RUsew4HPsGkjDHPyMulBVGZYBwaSDYh4zdh3ShbXIVFKjr0PvlMKUKW6C7opolgPXIAwSn+FMMAwS69Kf1vBXMAscytyXbekq67g+YkKAT4IrFy5smgPpafmyzP8fc8r+WNWOuMjjxIZLnZYnufp8tHFCHGQiTvX56Kc4BqCojRCkixKHAIEhS3CRcu04HcFT5bszaZCYJcWQFdMK1Z8s8xKhLeCAyLQMJZHew9HLqR8F7n3KVR6EDwXLBtR3YTRvBQRjukSyspH9u9D9e4B0wIpoX8vJOohHNNE92C3ezALG6Ym5VYIYYfBjiDs8CSSXkEFMyHw5y3k8yV5UOV5/vxFhQAfBI5btqxUDhPGeyd6xZrhFSeIZxclnZZhlLTBQY116ftzbjYeDHiGstpP1zJ0ElyoSErLI2meP7mQRNbxsE1j2shtdSyEUmhbMlP77x7L15MuqlGMVhetri3TmJbg68i2xFc60hcUVihnO2PloZXWqarAfi7wTC5GMQl8lEXJU9kwApuuYG1izizdjnUE1325Ef+cSIOkBOlhLjkZolWozDBy72b8zDCicSHKLYCTg+EesCNQ06R/M9qnP2to0wQVihFcU9tBlSK5QQl2MfZX71HxTzE6XIwUl6LRQQQZStFp5eZRubK22xGMWBIRTVbIcAWzQrmlnO/7lSp4z2NUzuxBYP/+/ZNtrsq+F8UoSwXPPsqJsF90jAhM4OdayyWEoC4eJlvwyLk+plB0j+YIWQaNVZFSJTRZVilLCP0+W/CoikwvXZjKSeJYgFK6QpwndTERx5O6yp7vo6YI1RkCLMPAKO5nQHyPVrE8Q1AsT62j6GH7+ZMcGFxjruPgp4ZgsBPh5rAaF2E1tR3+BiwbY8FaVCGDHOgArwDRBIz2o3IpHfH1HE1669sQkTjCtFCxalTHFkQohlHfNq1UQRNaD3xPrwNKBBnLJij1PO2+Sx98D+U74Dkot4By83p9bh45kofRfoyqOkRV7YzrOxwEOQpKqZLFo6hoSJ+TMA0Dr3g+qRDg5y0qZ/YgsOGBB3RFMccpOT+UP/2PlDVXBbNHEIU3TFPbOimFUyjMuaepIQRVEZuqYjll15MUfH/c+hMRm1TeLVmmDWd1wZSJxTKOVTieT7qgC2hM5zgRwBQCxBhRlgot5Zii6JwhKBXbCKK6E4+G/qwY0S3+H+hDdbBZlbY1ts2xzyZCKigUSftoXru3RGyTqG0SC1lHVVYSEFhVNmAqlRrWb7S8SvqQGUWlBjTxjNdowhlUmxrqxn3wD+T37cVLpTFCIWLrTqXqvFehhECUtLb6paT+m376Kfb/6Pt4o6MI00QYJkpJln7kI0SamwHI7NzJwN134/T2Epk/n6bzzyYUtTDq5iNCEeRgFyo7itm0GCjOlBQyyHAc3DzCnPyoUbkU/vaHNKGeLjlPGIjaVoymxSU98bivhdAE3LQQjLcWVL6LyqWQ6SGQHjLVjyhkMBsWHuwpOiDKXYEA8H08jq6jhlJSDww8Vw8wpK+voeClJjuAiHGa6wm6a8MEwwLTRBjFY/48jaobpgnFIIrv+5XA1vMUFQJ8kPB9n0g4jC+1lnNiqdwKjg0YhkE4HC4lKXqeh1eczjoSAxXbMrCtsQedEIJExMbJSDqHsyWnhvqqMIZxbCdKKqVI5V2GioS9HIYQ2KbANk3CltYm2+b4SlNSKh0pllrCgGKsnPMM8ogjtS9SaU2240nynk/e9YsFQ/T/Q1mHiG2SjNhEpqj+N1ftKJVQDf4PCO8BnBlQCuUVUE/fB33tYFr4riS7aydGPEHikiswBHib7yPX3o5Z20j1iy/C2b6R1MP3Ip08VSeuR/oegiAZLZAVSGT/PgzTYNGbX09oyXL8fAGkJFRbC0B21y46rruO+IqVNFxyBiMPP8D+63/Fove8Dyteo69lJVGMSYQALXUQQkdip4JpgZsv+yColCXGE/XBDvzBDoxlp2HUNM/6mAvTRpk24/Q1Ryj6O90V82xc6Uop8F2Uk9eRb7eA8hxNeg92XQf7nTCK2mtb/zVtHbW3Qvr9MdrHHQjlMgjXcVC2XZFCPA9ROaOHANOyMJSikM+P/6wy3XVMIUhokL6P67pQ1Eh6rotRLLZxJM+ZZRo0J6N61sCX2GWSgGP1waCUYjBTIF3QD8+IbVIVtglZWtYxm3YbhiBkmIQOuOSRhxACU4BpaE/kKuySvVzO8cg6HgVPlshwxDapj4cPOyJcsukrVpI6kP0YAFIipIuQHsJ3ipKAojRA+ah4HFW/HjOWJPXAXXipNJb0kbs3Y9bUUNjfjnQcEvNbCZkeoeXLkaOD5Lc/TTgewa6tnTTwUp6L37MPfBfLHcUY3IeBAOnjbe9EKEnPH+8mFLWpW5DEEgPEzzmJnT/6JQO//xW1ux/X5ZCjccx4gvwdPx8jQHYIwzQgl0YZWzGqahBVdZosAdhhzFVngR0GK1TUBI8vI052GNm1AzXSi9z9OGLlixGx6tkd/5EeVHZEf2DaGMkGRCRxUOdxtjDLEqOhSHyPoH5f+S4qn0EVsignO6aFngghio4dOnKLYRYjuWYxujvhOi86cZQ7c6hgwBTorEvXZHGQ4hVQXkH/fPzGwQ4hrDAiFEHYEZ2ceIz2feUQQhAKhUplwT3XLcnsKnj+oEKADxHlFeAqxvFzC6UUuAX9FLHCh9VhlhfUCGzTAosox/cxDGPOE+UmwhCCsHXsd5wTyW9tLETiCMs1Ah9l19eDBNcP3usIcuCXbApByDQIW7o0ddQ2sWdJyCdCBFHsaIhkNITrS1J5l1TeJe/6dI/maElGD4kEB7MN0p+akJSqSAFID+HmwM3rRDJ/QvUppbS21i2A5yAMAdkR3L3bkUN9RBcswO3vRY4MgC2QBQfDtrGTSU1MhEGovh4vsx9ndBR73iJNgCxbR18NC2+gl1xHB14mx+7f3o4wDexYmMSCRsxICCUlue4+kgubyHXsJ75mHYbnEoqHSe3ai2VJzHAIq7qa2Iq1uL37EcovSSmMtmX4ffuRWx8Jjj6iugGzYT5GyxLMpsVjhHiK80S8FmPZqcjtD6NS/fi7n8Bae96M50AphRzqROXTej1VdRiJhgNeK1MNUg7m+jrSxRKU56LyKWQuNSFyDppsFommFdZOGKZ9RC3ilJQ68uy7+q9X/tfR169b0Jrs3GixmQIRiiJCMUQ4dtiE+EjOpAkhsG0bD0oe/0bkuUHgK5gdKgT4EBF4awZ2XBXMIXwXmRnUpMBz9MPrMJNXRNG+LvBxDkjKkUqUey5BKUW64DKSdUuEs74qTFV47isa+lIxnHMZymnCmXH8g7O7KoOgKK0QRZ1wkdhGLJNE2KIupiUNB4JtGtTFwyQiNr2jOTyp6BnN0VodK0XsD4SpHBiEEKXS3aVry8khcylNznxv/L4Xp7JxHShkoZCZFNlTSpHb145AYieqcAYtVLQa6hcgjEdQEsxVZ6JMCzMUxVYWorsPX0QwV7xY6zfLHuCe2oKfyxNrrsEMWZrw9qcYeKqd6iXNRTWCBEMQO24lKBjccB8I8LIFCoMjGJaJGE4Rnr8IwglGNj4JpkV8+Qps08LJuJixOoSXBSePGunDG+mDnU+AFcJauBpr+WkYyfqpz7MwMJaejL/xdsinUfk0IlI17XmQQ11F8isw6uZhTLMs6H1zihU8p972+HP4bJIfVRwAqXwamU9PJr12BBGOY4RjEIocseS+6SAMA4wi2Z6AkiyjSIBx8ygnpyUthSyqkIUUgECEo4hIAhFNHJSmWCmJyo4iPQcRjs14ng8VQU5JMIvjuS526FiY26pgLlAhwIcIGSSrHOV2zCV0h1vUjwXREKVQvjf2ue+itXpmUeelI0m6M7RKWrDDijwIAxGtxqiy8Pvax1kjlbyXi9EGDtLrM4jShEIhbXZeTJRzHYdQ+PCizc9V9Kby5MtKPNfH55b8SqkYyDr0pAoM5dwplwmZAsswsE0d6Q0kF4Fe2FeqqOGV5Byfgq81p55UlNPInAujePSmC+wcgKqQSW0sRE3UpipsYc1AaO2iZKW7SIK7RrIkIvYBC44EiZZBBDEo1jJWGEdq67DM0IQorwArhHDyqNwIpIcn6zYNE2LVmhxEqnCGBnD6/0LVihUlwqOUibVwDUb4j8jBPnK9/RT27yPfsQ8z3YnK5Rh94K+4Mkrza980bvVmXQtVLzpfmy8ogS8hKqDvjzfjxVuJL1uB2Pkras+5kHBzHQ4xal+xAP+uu1D79lF1xgU6WSibJtc3SKy1heTJp+jjmUiS3vIM2V079TlesIzEuZdgRSPI3nb8zh2o7Cjerifxdm3EXnc29uoXT3mMhRVCVNWjUv2okb7pCXBuFJVP6UNXNx8jEp/2vOkVi2nJrz62quQtHlT8PKJRXukXCWIGlc9Mvh5CUYxoQhPGKRILn02o3Ciyb68m5nYEkahHVDchgr6/qAM2olp2Unq+FHIoJ6sJcWl/szDSA6FoMUIcRYRjM5N66etnk/SRgx2oaAKjunnOE/OCSLDjODohTsoXbLDkuYDyZOIDoUKADxFBJ6iKFWOOZBneuUYwOtfWQe6YbZCbP3BCjl4D+FJPfY19MhmmrTtp0yr6gBb1r3YYYwYdnzAtbaPke3rNZdNkQghkLoVMD2hdmu/p0X9t60F3fIZhEComys3Gv7k8gen55PgxsbMYyhaQSs2J/KE/47C9L41XZs0QsQxqYzbVEZtE2CJsHXxkTRalE74c7wTh+pKs4zOSdxnJe6Qdn7STY9+wNoeN2gbRwP3BNomFTOIhq0RwLdOgPh6mN5XHk4qhrMNQ1qEqbFEdC2FN8eAr73BDoVDJJxxAFjLI4Z4x4iuMMfI23IPq3qk1lhQjWoW8jlrWz0dU1UE0MdbXKIW7bQuRE86i6qWvwxsdIr3j8+S3Ps7IM1uJ2nr6efdn/gk/7yJ9ScPxyzBDBm62wMBNt9L74FM4fQM4g4M4g0O4Q8OoKeQayYVJsh33sfsXf6J+RT0qn8XPx7FMV5MSJ48Vi5JYfw5W05irghztwxrsQhZyuJk8pooR8gTO/l04+3Yy8PNvEzvlHKovfi32SS9B9u3F2/4ofucO3M1/RUQTWIvXTXnOg+M0U9hBpocAMBINBya/lEX4fL+YsKlK+QHBMfeLbgBHItgRyL1UIY3MZyZHeYXQcoFIlX4dZdJbDjnYpfvgSBW4BWTnNgwnB02LEcIYC1bk06iRPm3zHK9FxGswqmrHR7hzKe0G4uRQTg4FmM3LYAYZkjBtjEQ9KIWfT2uNcWlQOLfSCGOC13yoUiHumEQQzCrPz5oJx87d9BxD0EEGJXgBbHvup4znCkopHVXIDJemoqaEMHRUtdyQ3rR0tNcKl/R6OiqsM42V7+skHd/TlaKCqEWgD5uIWLV+zdDWoOPEMMd1+srNI0d7EXYUo64JpI8/3I1MDWBWNx30cQmiOgdCML0dtC2YCns+JEU0J6PkXZ+c65NzvBLxyxQ8GhKRScU8ZouM47G1N4VUEDINmhNhmqrCxEKHf8wMoaUO00FriwO5hcNoXie75Vz9gvHXZcw2SUYsaqM2tbEQ82tiZB2PTMHD8SXpgv6/vipCPDy+2wwiiKI4VR5AZkeQw93FBpsYiQYdcezchhrpHfu9MJDZDH5/B7gF7MbFGEU7sXJ4qVFG7/odJJsZ+uvfQT6DHdf3qlD9jKRcorVRQtVJ9m/eiRCCtgtqyPcNkOlOMbC5Ayk3IYvaam0EUbRaM03McAgzpC0EzWgILy9RmEhfsvm/riU3MFZhova4Wtysx+CHPkXzyy6i6eUXE25swEg2QrIR8nl2/f3bqF5/Ji1veAeGbTJ6x01kn7if7GN/pbBjM3VXvI/QvEWYTYtwnroX7+n7cR6/HaNxAUZ8fP+gCllID+rjXDtv6nPu5jWJQkxpmTblb4r5AFLK0tR2cK8H/blZzB+YCwlESRpQTF5ThSkS2KwQIhwvvqLPurRhtjBalgKaiALI/r3I9k26H45U6T48NYi/b7OeFVQSenZjzF+FqJunj6WtJRRGoh7lOfq4FD2cD0T2g75Y5tOAKkaMxwIlyvc0+fYcRCSOET7wgGgmWLaNUyiUkluN50Hf/3xDUMZ6tqgQ4ENEMC0SkCHf80pR4EArJIqleo82ZCGLHOnRhLUE7Z8pTLssUzeqO99ZdPLCCukSp1NAd/JekQDrTHZV1smL0NS/m7SeQkaP6ssiuzIzDIaFUVOc6jItjGgCmRlCJRv1+uc4Muv7Pl7x/AalZL3iwOfZ1gUeCQghiIYsoiELFQuRLngMZws4vqRrOEtzMloq6Txb+FLxTI8mvzVRm3UtiTk7TgG5zXs+nl8kc2X+v0bRN9gyBLYhmJeMsLjWKMkoNAn2ybp+yQUi6/pkHI/uVAFTCBqrQiyoiZKMhopWaQUcT9KfziOV1gsHCORQ5fZuMjtaIr8imkAkm6B3N7JzOzqCKVCRBP5gN7J7t94vKXGyLgz2E6zdHR5i5KH7GX14A9ltT1HVUo2R3YPMOeSHslRXxRCWwb67tpIfzrH00hOINyVYeNEawnU1ZAdHcbMOO3YO0dOdm3K6f+GyGoYH8+RGRjAtg7YlNVh2hM2P9pD3DJY111DXWo1acwqx5hbs/r3I/nZS+1N4nU8y/NiTbPvS12k4/2wWvuWN1J6+nvTmJ/BTowzecSvDG+6m9cp3UH/ZVcROfDFDN1+LP9RH/4++TO3l7yC6+hTsNWcie9qRAx04D/+B8HlvHO8IkerX/1TVIkKRSfuglEKmigQ5UjXr2aBgUFseuQ/67/JZvcMZ6Crf08GHYKp/oqxBiDLCG582KfCQtx9UzCsGLZSTg4KOtOIWQPljdmaROESTiFj1AdsREN/S+/oF0L5Jr7M4y+HvewoRimIsOh5hR5DdO5F7ntRyiQnaYWGF9HPlICEzQ4hwXJPsYJ8LWfzRvuIMYVTrwsNxjJqWQ+6HgnLiwfMgVCHAxxSUUtrtCe3KMhsINVuxxAsco6OjVFdXMzIyQjKZHPddoVBASYlpmli2XfKeBQiHw0etGpBSCjnai8oM6w+EgYhVY0STZVHeYw+lKGv3Dox4rbZOKo7o/f52jHgtRlXdWAQgM4TMjmDWtGjCPMdtKeTzpXMbHLMgee756gDiSUl/Kk/BkxhC0Fp9cK4IHSM5dg1kCZkGp7RVH3IUOcBQzmX3YIb9I3mGcg6uP3W3pctUu0SK8oaJ3wkBUdukKmRRHbGpj9k0xkPkXcl9uwd5YO8QJ8+v5riGOIYQzK+OsKguhoBxDhnNyWgpwS6ICllFr1Dle/i9u0FJRExbf6ndj6FGAxJXj0yP4O3eqDX2UuJ4Frn9+1H5HJE1p2K0rmDw7ttIb3xCe/W6Ejfn03DSMkb39hOqihJrrsaKmuQHR3nqrh107hnCCpuc+orjqW+pwhAKJ+/yyB072P5UF35QLMQ0MUIhhG1hWBYnr0jSWGNjWwLPU2RzPvv2jDDcNaKTwEzBstUN1NRFAF3RMBdtouGCi6kKCfr/cjcjT2wsHefqk09k+YeuIZQI03nt98nu2ApAfPU6FrzvQ9g1tQze8L8UdmwGw6Thqg8SXrwCmRkmf+sPQPpELnorRm1LaZ3+7idQgx2IluMw56+cdN7Lo+1mw0I9mJ8FnEIByoIZUBzwui6WbR8y8VWeo4tw5FOaEE5E0QlBJ7BF56QvVtLXGunhHlR2VCdSSm+WsrYpYIcRkQTmitOn32aZ1ED27EJ27cBcdwHCslGZYfwt92OuPhsRS5aW95+8DWPhWoy6+YfWrrLtKt/D79mJUTtPD3yKbfF69yAsG6OqXhdqKWSRw90Y1U2HlSwXPA+g4v50rEFJSaGg77WC41BTUzMlXyvH0Q9PPg9gWZYuQzqF56fneUcla1T5HnK4S0ccABGr0T6Yz4HKPUKIsYpF5TY5Rf9JMXEqS8qpPS3nAIH/40SNsJLyiNseHU1YhkFTMkr3SA7Xl/Sl8rRUz+5BLZWiJ6U7oraaQ5NQKKVIOx5dowW29afpTk0mEbYhsE2jWFlOIBB4UtKbKrB3MIdlCGpiNnVxm1hoLJqnI8AOfRmHHQO6Qtz+wRxNiRBKQWsiTE3UZiTvsW84x1DOZUVjFXXxMArIFDwG0nmaq6NYhjFJQy1H+/R0rx1BJBtROx5CpQYAgViwBufxv6BGB/TCdQsYffxRZEYnbhGO0/XH2/DTvy2tz/EiDG/dhxDQ/CKbeS9aTj7v0bm9m9GOARasqMcHfNdDKfjTH7YzlB7FcXzyUyYd+lBW5KSjq1/bxRpB0p7C8xWhWJRL//l9rDnrVIae2cLg408wuOlpRjt6yaT2wZ8fxY7HePlPvs6apQvZf92v6PjN/zHy+JM88tZ3s/jdV3Pcf3yV/j/9nu7rfkzmmc1s/cjfsfw/v0b9m/6ewRu+T/7pxxj45f+j+ZrPYMZrMOcvx9+3BW/3JkJlBFgF8odE3eRrxff0DBda+ztb8ht4NU+n/z+UO1t5DnKkF1XIjP/CDuvobiimE7zmiDgppXRlwL49Wmc7nbQNCJIuCUX0MQrHdBTWMLU7g+doz+bsCBSjw2qGiOwk8tu7B6N1uSa/SqHSQ9rjOZoYW9YtIGLJkkXd4UJmhnXkuuw5EeiJjdrWUpTZCMeQqNIs6KFqhANXkKBCXIUAHzsIZuIOxn+7QoAPEv4UCSOmaeIXb4rgYRhMlRyMHmUuoJTS2bkjvcXOUGDUtpYycY91KCV1AkUhqyPWZdNwyveKxu7WWARAKZSvSSrm3E4dBp2cNUHbHTw4n6/kN4AhBE2JCJ3D2ZI3b+gAfsZKKbb3Zcg4PqaAxqrZJYsMZh229qXpzziM5F0K3vikIwG0VUdZUhejIR4iGbGmTEgLkMp7bO1L8ci+Ybb1ZhAC1rYkOHFeksV1cUYLHgPZAk92jNI+kKU6amGaho705l1WhKuYl4ywvT9D+1COv+4aQErFixbW0pYM40lF90iO5qQmM6oYNTQMo2yKu1jOOK/JkEjUYdQ0o1I6UctasR4aliDvvQuA6pe+HpVooP8zHweg4dJX0/Dyy3j6U1+EZ/aiFMgFpxG78Dw2fOSz7LvjYYQhsI87mZXv/xvOOXkddauW8d+Xv5f2W+4oHYv5x68i0VRPrLaaSLKKcDyGHQ1jBHkMroeTyZLuH2Skq4/BvR0MtnfgZHPsf2obL//kP7DwwrNK53dwyw523vwnHvrct3AzWXb+7nYWffOzrPrkx1jynnew/b++RddNt9Dzx9tY/uH303jJ35A89XS2f+z9+Jk0o48+QHTREupe/XZ6uvbiD/Xj7NtJdNVJmPOOw9+3BTnSN+6awtH6YxGdHM1RQSllw9KJgweJiZUJA130wZBUTfgGkakBgiQ9EYqV3DvmOnlNSR812Ins3QOBxy5ool3ToiUG4ThY2pEnKHwx2z5LeQ4UcjMuE7jxyP3PoDJDGPNWYNS3ja2jkClFt0uDxODeOMx551JiaHYEEU3oIh8Uz0N2RA827PC4SLEm+mrc7w8FpmUhHQff8zDLLQ4rOKoondOirn82qBDgg4TrODr6N+Git0MhbZWD7jiFECV92bNV9lZJiRzpRuWK0SQ7UpQFPDcyVpX0dca8KHbAVqhogVaE9HUteqV0UQDQI3rPLUk65vJYB+uaqPMNkmaeT04Q08EyDcK2WaqUdiAC3Jd26E3raO2q5gShGaK/Sik6R/Ns7BqlY3Ry1q4Q0BgLMb86yqqmKuKh2XdXiYjFaQtqOW1BLVnHY3tfhsc6RvjxQ/u4av0CVjVV8eCeQXxf8foT59GSjPDrJzuIhkwyrs+dOwdojIdIhi3u2tFPY1xbqf1xSy+rm6o4f1md9gseydGYCCOELGUg28lm1MBeHUEb7cVYuBa581FUahB8D2vZSXg7HkP27SN0/HnYrQtxu/YicxkSp19IuG0hhf17sZLVhFvmMf8Nl9N/972Y8ThtV7wWO5ngtI+8j3133IeSiuWvv4y288bsw6764Zf45kuvYv+TzwDQtHwxr//6v1G3YOrksYl4/MZb+d5r3wvAJf96zYRzIqhfvZz61csJJaq49+Ofx02PRTvDTY0sfvfb6brpFtxUquzzFqpPP4vBO/7EmBtMCKu2EX+oH1UkW6W+alzybHkp4ykitYZVWu5g7sep1H9BueqDmd1RbgF/uKskdRDhmLbjOgQ962y2JXv3oPrax46RYSLq2zAaFo5zDTkc6KTnmduvsiP4ezeDEJiLTkBUjVUaFELo4i2lZ4/WveMWUNLHmELHDeikaWN6RyVNcIf1bJ9hgvS1LVww+6ckysli1LSO/52rkyODfJLDeU4E3v9SSp0HUvEFPiYQ+HWXKr/O5jdHuE3PSxQKBa37LetAS4UWpiqv+yzIrJXn4Pe3l8ivkWjQWrjnCPkFiv6/CX28lAI3j9+7B3+kVz+UrJCOqJVNL6p8CiV9nbwxBVQhi0wPFi3VDrI55ZGLImSZJ+jEyPDzFdGi1jXnzjyqLniSnQP63CyqjVIXm/rBoJRi33COm5/u5o9be+kYzSOAJbUxzl/awKvXtvCmk+Zz9akLedXaVk5tqzko8jsRsZDFifOrefuLFvLVv1nHupYkv3myky29ad66fgHrF9ayoCbKYMbl3KX1nDKvGtsQ7BnM8oene1laH+Mdpy/i5LZq1jQneKJzhOG8j23qxLreVEEnlBavF9eXpQewyo1COI6oaQYUct9TWKvOAMtGDnUjO7eTOPvlAKQfvgvlFmh+zRUA9N3yW/x8nsbzzyF+3DL8TIb91/8agPlnrWfdO7Wn7x3v/wROGQlNNjXw8Ud+x6WfeD+GafL4jbfyyWXnce07/4nNf7yTdP/guOs6+F9KyQPX3sDP/lZHoC/512uYf/yqaY9rKKG1lE5q/HS2ndSzTd5oanzSXbDNsv5RRLRcQRaKA6BipHTc/TruFpyCtASyLunP2v+ztDYhxs3SBbM75iyiekopZGYIv7+9WLnSwKhpxahrm3Pyq3wPv3Mb/uY7Ud07NPkNRTHmr8I8/kLMhesQseSzNiBX6UH8XY8j4rWYy09HVNUCE/tMAajSrB4wFpyZRocr2zfjb74Tf//TWsc85UISOdyNHOzQ6/S9sW0WJQ7Bc68UKXaKUsCiPOZwjlPwrIexJMoKjg0EWv6KD/ARQrn/b5AENaV+TIzp6aRSUIwaCiHmPHKoCln8wQ4teTAszNpWXWbyOQYhhCbAgXG61KN5fE97SIaiiGiV1n1JX3sYZ0YwqhtLzhLjdLpK4af69fTpaJ+2yYnVjEuWOGB7DKPkAKGKZW6DpJkXCoJkr4Lrzxg52dmfwZOKqpBJW83UOkylFA/sHeKpHv0gNA3BysYqjm9Jkggfue6o4MlSwY+Cp0iGLRxf8m+3bmF5Q5xlDXFGci7nH9dAVdhiTXOSHz3UDihMU/Dw/iHOXKSn1zd1jfLI/mFec3wr6ZyDKzUJbk5GUK4urOIZFmZVnZ4WH+7GaF2BGulDpQYQ+RTWivV4T9+Pu+kewhe/Hau+GW+gh8wj91Bz5kV0/+pnOD1dDN7+BxpfeTlL3n01mz/2SdqvvY6Fb30TZjTKmZ/+CO1/vpvR9v3c+y9f4MJvfra0v6Zl8arP/iOnvP5SfnP5uzF7exn59f9xx6//T58HBE4kglqymFAygewfwNu1G9P3qZOKhrXLufQT10xxJMcQEODyCDCAVSTAKIWXyWAnygohMJ7CGmF9nah8Lmi4/jtuwDpzBLjcJQbpzUoKpZQqRYwCLadiTPN/IIsrnWPRXRqMi3AMo6b1iPj0qvQQ/p4ndFIbQKwao2UZoqb5qFmkye6dUMighrq0DVlQuKKmGYo5GiLZgOzYihrtR1Q36WPWv08T9amkLEUZCW4e1bMbv2c3xGv0vlY3l56pIlGvbdMKWZ0APdSJKBbB0FIYE+W5pUGIcgvg5BH21FXrDgXBLG9gozdb14EKjiwCd67Z5l1VztpBIhyJEAqHcYoVxA5EgoNp0XFQas6ih8otjJFfO4JZN/+YMks/HAjDmFTxyaiqR2WHkbkUwjAPWOrUiCb1AMTNj9kQ2RHMmuYDOkYEN5PrOKWKcaZpTh3lfx6jNOhDE8mJ5YVdX9I1mmegmFi1oqmqpKuUSjGYdRjJewzlXDpH8yWJxLrmBCfMqyZ2kBZrB4OnOkf44m3b2DuYnfRdImJx+pJ6QqbBLU/rJKrrH9vP606chyF0ZbrFdTGSEZu+jMOft/dx8fJGsm4nYcvgqe4Ua1sSpPMurq8JdnMigu9qFxgjUq1Ji5tH5VOIlmWoru3I/VuwVpyOt+NxVHoIue8Zqs56GcM3X0v6wTuIn3ouTa+5gv3//XV6b/o1NWdfQPOlL2Xnt/6b3P4Odn7rv1n+kQ8QSlTxku9+nv971dU8/ZNfUb9mOSe+963j9rHthNX83WO3su3O+3n45//H3kc3M9y+jyUxm5GRNP0PPUncFLRFbXKexAuFWLpyIdFomMLgCPa8qe8R33Vpv+1uYHIE2E9nEKapddGjaeyEToIqdOzVC5TfO8WkLRlIIKaMAM8czRFCaGmU9MD3Z0WAg2vasiw8pXCKffRs7m/l5PAH9o/lWCQbEfGaIxJ9ld07kR1b9Bs7grFgjdb4HuFIr3LyyP79+L17kQMdyNEBPcsRiWM2LsBomI9YthAhpS5PXUgjBzsxTKuUpCzq5yPSg8jObajhnlJpb6Nl2ZQWa0IIzHXno0Z6UYOd2is7M4zc+agmwvNWam1z4PUbjmGGYzpQ4uYRhokKRcG0tcdyOAbS005IKMzomBPFOElbIauT6A6iTw8CWZ7n6epwFQJ8zMAwzVm7t1TO2iHAMAxCoVCp/Knv+wfl9ztVYtWhQPke/mCxIw5FMevb5iQioJSEvPatxMlpP9/AlcEv/g2yjY0J7guGqb2EQxGwo/pvKDpnpFyYFiLRoIsKHGhZoQ3xjXiNzs7OjqAyQ1pa0deOiNfqrPEZOj7DMAhHIqXo/VQPnlJk63miB1ZKlTS/OdfH9adO5Mw4Hp0jmtAGHrzzkhHiIYtUwWNj1wi7B7PkvfG/F8C5S+tZ3nDwdkS+VDzdo4nnxOSliSh4Pv/xxy10FfXFEdugKmThK8Vw1iWV97j9mR6WNcaZVxfn+NYkDfFQqb2jeZf1C2s5pa2aP23rZSTv8bunujAE1EVDeFKxpTfNCa1JBtK6ctxg1qE+auF5Hp7vYyebUAN7Ufk0oroJ+veCk0V1bcde+SLcTXfjPHE7kfPehFldhz8yyMD136b2ivfR+9tf4PR0s+PfPsLSf/ksS695D0/987/R/qOfkXpmG6s/86+0nXsGp37ob3n0v743bdQylKxi3d+8lHV/81IAnvyfn/HQ57/F6z73L8hQiE2f/yZWVYxX/vuHWXLWevx8gWtPuIidN93KCe9965TX9Q0Xv5HexzcDEG2oB0B6Hh2/+T92fP07KN/HCIUwoxH8fI6O73+b7HZthxaepxOl8js2k934IABGXJMTb/82gHFODqWiIaWKklNBTfg7OwghsEMhbGZ3Hyvp4w916f7PCuvZtiMkM5MjvSXyK+rmYyxYO6cewcrJ4fe0Iwe7UNnRoi9wsRjFVPKDYqEKb6QPdjymPwvHMGpbMFuXYi45aVyytRAGxvyVqKEuVGYEoknMxSdN6eNc+o1hImpboba1qHfejerdo4nw9gchHMeom4+oadJ+xcVZOhGOjeVsxGuRIz342dFi4puvA0PFgMd4Nx8fObBfOwfEazGqamftlGSYpi4DXiy+8EIKijxfUPEBniWm8gH2PA+vKLYORyKTOs7g+6DamJISx3EQQhCOHL5frT/YqevemzZm46JDtjhTuRRqtE9Xicul9Uh9RjudQ4BpgRUuFt8oK48cJDMEFd8MS2f0WqExq545dHdQvosc6dPHDfR2o0mMWFJXujtIEiulLEX4p5sJOBIISv8GpZkDCCEwhM5sP9i2eL4kXXBJ5z38Cd1CxDZJRmyiIYt0waN9KMtgdizRIB4ymV8doSpk8mR3ii3FCnAAIVNQGw1RHbFoiIeZl4xQE518Tsv3yTQESmmS3Z9x6BrNs2cwy1PdKUbzHpesbuIVa1omraMc1z7Qzg837KEmavP/3nQyLcmxe7TgSR7dO8SXb9tKzpUsa0nwqrXNvGy1Xue+oSzf/Otu3n/OEhbWxkjlXX6/pYct3Wl8qfiHc5bQPpQj70lqojYrGuL0jOoSrrUxm4hBadBkOSk9tSsMPSOx8xF9rtrW4j7zALJvLyJeg7nufPqv+y6qkCO0aAVVF17Oni9+GqevBytZzaKP/hvDT25h6+e+giwUMCJhlr73XSx825vZ8bvbWHbZS7Ei05OxIHn3F2f/DfWrl7P+/VfjDo9wwxv+jrM/8xHW/e1VJRLxu8vfQXr7LpoTFvEF8zjug9dQd8b60vH768c/x7Zf/54T/vZKjn/3lYw89Ai7vvM/pLfvBCCxeiWrP/2vmIbPvv/3NZzebjAMWt/8dhpeeTnZR//KyJ9+Bb5HZNVJ1L3u3ajRAfJ3/AykT+jFf4PVthKlJP5T90Ahg9G6HGPeisn7VfSCBTBblh8x33WlFHKoU1t4mRZm4+IjZiupPBf/qbt0IlnjIsyFU5eHPuj1KoUc6MTb8Rh+x7bJVejKIKpqMJsWYTS0YdQ0g5LI9BCytx1/oLNouzbeq8VoXYq1aC1m44Jp8zIOus1uHtm1AzWwf3x7rRAi0YCobkQkGycNRGTRak3bzplTyreUm8cf7ByXUGgkGzFmqFRajsAD3LSsF5Qs7liG7/sM9PfT3NJyQB/gY5oAf/7zn+fGG29ky5YtRKNRzjzzTL74xS+ycuWYEbpSik9/+tP8z//8D0NDQ5x++ul85zvfYe3ataVlCoUCH/nIR7j++uvJ5XK85CUv4bvf/S5tbW1TbXZKTEWAlVLaeFmpKW+AQB8UVA8LiicgBJHDJMAyny4lAZgNi2YcVU8HlUtpjVbRQ3McDBMicU1CzZAmpYapO3zDGtPiKVn04RU6QU354DrFmu55HUGeWPnoYGGHtWYsltS15KtqDzvJRObT2iquPNvcCmEk6hGR2WdSlxujH+nSyEopCp5PKu+Sc/wDxrosQ2CZhq6IZhpYpoFpCAwEElUqiev5koIryXtjDxdDoKvD2SYR28I0BBnHo30ox0BmTNJTHwsxvzqCQvFUT4ptfZkSeZ6XjHBCS5J5yQhCQLrg0zWap30oy57BLF2jeYayLgr9HJ1IuqdDImxx3nH1vGxl07TnaSjr8OYfPkTO9fnkJat5yaqpy2T3pgr8+y1PU5CK9r4UH7pwBa88vpX+jMOnb93CRy44jkV1Wl++fzjHl+/YTlMywiWrmljZVMUTHSNIBfOrIzTGQwxmtLyjJRlBecWqRKaJGOkCN6+9gT0H1blNE+IlJ1PYcDMqM4xR24JYfjoD130X5eQJLVpO8pI3seernyO/ZxfCtJj/zvcRWbaWLZ/5PIMPPAxAdGEbS9/3LlpeeUnJ2mw6dD/8BDe+/M2c8oaX427bhuN6bNm4h/M/8yFWv+8dCMsi39HJLa+8klzO5aJvfZbUE0/S8evfsu5L/0HjBecCkBscwo7FsCJhNn744/T88c8A2NXVLL3mb2l55cvo+cW1DN5xq/68oYmF13yE6OIlDP/+5+Sf0RHE6JpTqb38neA75G+7FpUdwWxdRuisy3Wf2deO3LsZrBDmuvOnHAzLfAY5uB9MG6t56Yz7f6hQnoMc7Sv51x5MsY1Dgd++CdW/FyJxzNXnzAnRlkM9OI/9GTnYVfpMJBs0WU3UIUKR4sxdBCNZf8BnivJd5HAfsn8ffscO5EDHuO+N+nmYC9dgLVw9J8dK+Z6OJo/06KIyE8l7pEpLUWLV2g5vlo4YSilUPo1M9Y8l0cVrMJLT9y8BfM/TjgNC6KJXz5NZwOcynjcE+OUvfzlvfOMbWb9+PZ7n8a//+q9s2rSJp59+mnhcjy6/+MUv8p//+Z/8+Mc/ZsWKFfzHf/wH99xzD1u3biVRTL543/vex+9+9zt+/OMfU19fzz/+4z8yODjIo48+OmvCMl0luNINAOMqB42zgymiRICBSPTQOwQlpa40JT2dhVs99cN92t8rherbg9y/pRTpFclGRKJedxqRqjmrTgQ6moGb11NoxdLI+J7uwKQck1eUfa4TF3ITyjeXIZpEJBv0K1Z9SIRYFR0lVHak6NVavBXsiJ7anOU63WIp7CDSfyQ6QaXUuEpkAbQbnCglFinGSgIfCsKWSSJilQpHSKkYzLl0j+YZKiuq0FgVYlFtjNG8y8buUdqHxjxDm6rCnDq/moZ4iMf3j/Bk5yjtQ1lG84fgxAFUR22aE2EW1kY5rj7OyuaqGT2AAb555w5ufKKDFU1V/PebT5lRLuF4kq/cvo0/P6MHgm89fSFXrl/Izx/bj1LwltMW0D2a5y/b+9jam2ZZYxzDELxsRRMRy2BLryZFKxvjoBQ5VztENFWFSjNEtilQA/v0/RavRfTt1QNPO4JYsJbCPb8GJ4fRvBix6GQGrv82qpDHnreImsvfTeePvsfIQ/cBUH36Wcx/1zX033M/2778DZw+XWEu0tpC2xWvpfU1lxFpahy3j0F/dPv7/pmOP9/FyjPWcvx//juFgssvznwVr7npRzStPxEjFGLnN/8fT/zgF8jqOl59y88IJat44pp/RPk+az7zCcKN4+VHXb//I1s++0UWvuWNLLjyDaQee4Cu63+Cn9LT6HUXXcK8t7wTZ/9Ohn/3U2RaT01XX3Q58TNeAp5D4b4bkX37EPEaIhe9FRGK6Mju5jvBczAWrMVoWjzl+fNH+1HpAUQ0gVk7O6u3AyHwHpb5tE50K+uHjOpmjHjNnGxnym1nhvC33A+AueIM3S8fzvqkj/vMBrxnHigmSpuYC9dgH3fyuGp7hwuZGsDbvQm/e7eODgcwLMy2FViL1mI0LZqTCL2SUssiRvu0RCY3hWTDDmvpSH2bTq4+0DqVQqUHil7OIAK5xUySmGcxAFLB7PC8IcAT0dfXR1NTE3fffTfnnnsuSinmzZvHBz/4QT72sY8BOtrb3NzMF7/4Rd7znvcwMjJCY2MjP/3pT7niCm0v1NnZyYIFC/jDH/7Ay172sim3FVidBRgdHWXBggWTDqhSSgvhvckP94mEaK4IsEwN6NGqaRen4Q7CsD0zgr//aQgqKyUbdWLFYZSHPJJQvqurE+VGtUQjMwxTVRGyQlouEUQBqup0RGC2kVzpozJDyPRgcVpPYNS26LLRB/rtEewEVZFQjWQdnKIWtypskYjY2ObUxvZKKXyp8KSO7rpS4vn6f18qFAqBwDAEZvEVtkwitolpCFIFj9G8RyrvMZxzx0Vm6+MhFlRHGMi5bOlNsX9kzL93QXWUtS0JCq7Po/tHeKh9aJz+VxR/31ajC1rMr47QEA9hGJrAB20xhMAvsvhYyDyg1nciOoZzvO0nD+NJxVdfewKnLqyd1XH+0YY9XPugTtR602kLuGh1M9c/tp/hnEt11KYmYnPhigaG8i7P9KQIWQaXr2ulP+2wfySPKQQnzUsykCkglSIZsYnbAlm0zbOlgxzW0TdR3Yza/YSWG8VroX4hzl9/Db6L0bIUseQUBq//DjKbxqpvpvYN72F4w/10/eIn4PtY1TW0vPFtJNa/mM5f/R97fvRT3EFdYAPDYPG73sbyD413cXBSaX644mzmL27mjC/9GzXHr6Pn/oe4+aoP8ppbrqX1jFNRSvHE33+YXY9tIbxoES/70dewY1H2/+pGOm+8meM+9PfUnb5+3Hql6+JnMqSffpLeG64nv68dgHDbQtre/X6i8+cz8pffkivqfa2GVmpf83ZC8xYhU4M4D/4eOdQNlk3kgisxavSA3u/YgureCeEY5przpu3n/P592vu1ugkjfuBzfSDIzLDuXydEGEU4pqOCR9ha0tu6AdKDiLr5mEtOOqx1KbdA/s7rSoTUbFtJ6OSXHPH+XuZS+Pu24u3ZNJ4MWyHMliXYq04fR771gCOPcrJ6lu8gSbLyHFR6UGuNsyNaclR+/opWhDrQUzdjrozMpZBDXYBCRBK6otwMfVBQBdYwDELh55Dt6PMUB0OAn1NJcCMjIwDU1Wk7ot27d9Pd3c1LX/rS0jLhcJjzzjuP+++/n/e85z08+uijuK47bpl58+axbt067r///mkJ8Oc//3k+/elPH7BN4zwBJ5DgkqdkkRCV/CYPI0IYeE8Cerp+lh2FcvNa7jCwv9gGA6NtFaJx8TE9bSNMG6q07IHGRYDeFzU6oHXL6cGxSLHnaJIc7KMV1hHimmZEddOM04jCMLWeLFZdtDfKIkd6i5ZpBzHAkLJUlehwIJUiU/AYyTklMigENFZFiE7hiev6ktG8x2hByyO84m8C+UPYMgiZBhFblw5WRa2tLxU5TzGUK5B1fFKONynpPmQa1MZsQNGVKvBoxzCFIrEVwLL6OGFDsGMgy53b+0gXxh48jfEQpy+qZUVTFW3VUULWkU8U+fZdO/CkYv2i2lmRX9D38TvOXELYMvn+fbu5fUsv7zlnKZ946Uo6R/IM5RxWNFZp71+p6Es7DGQddgxkOak1yXDeJV3wGcy51MfD9KXzpAou1dEYTrFCpAzFEPEafY2mBzCWnoLctgEyQ4hogtDZr8W59zfI7l0Y0qf+qg8w+Iv/hzfQQ//3P0/i/Ms47rNfZd93/4vC/r3s/943sH55LfUXXcr6n32PkSefoePXNzL82JPYNZM1jM/8/EYMw6ChrYn+v9zN9i99HeX5GIZg+4+vp/WMU7Vzjecz0t3Pqpe9BFEsZBKdPw+lJPnu3nHrdAb6GLzzzwze/kfcQR05M+NVNL/+SurOuYD0Q3fQc+N/61kgIag64yKSF7wKUDib7sHb9rAmKqEo4XNeVyK/cqhLk1/AmL9q2n5OFbJlHq9zY/0o0wO6TUK70IhIldaRPlvuOkWvXFHbeoAFDwy/Y7smoKEIoVNeirVgel/nuYQRTWCsOA1r+anIwS789s14+7aAk8ffvxV//1aMlqUYtc2o9DB+z55StT9MC6OmGaOmCaOuFaNpoc7RmAHCCiFqWqBGk2olff186N+HGu3Tlm09u1A9u/SsS8MCjOalU55TI5oAYSAH92uf+VwVYobtm5ZVqvoaWGZW8NzAc+ZMKaX48Ic/zNlnn826dTohoLu7G4Dm5uZxyzY3N9Pe3l5aJhQKUVtbO2mZ4PdT4eMf/zgf/vCHS++DCPBUCOyyLMsqJSS5rqvJUPG9Uqo0HXo4N4gqWskEyVuzgRztR+56rKR3FXXzMeavnBtdlirWVxeiWAzgyBMcYUcQ9fOhfr5ug+/pDq6Q1XXsM8O6Dr1XQA12oAY7dNvq5mM0LZkxOUOYNkZdG37vLvA9VC6FOEBCRHBehRCHZYcTFFHIOjr6GtQ2NwRUhW0SERurrLJauqATxAazDhlndqUfZwPLEIQtQ5Nw12ffSI5NPeOnGIdH8+zYN4JtmzxiDWDaY/sdtQ3WtSQ5bWENEdNgS0+K/3uig31DOfpSBTKOh+srIrZBTTTE2tYka+clOa6xipZkhKg9+5KtE3H/zn427B7ENATXnLfsoH8/r1rrHpsT4XGfBZ+DjlQvrYsxkHUYzuqk1tpoiHQhR871iVZHMARIBa6vtNVWUSZjJxq0jtT3UG4eY/FJyJ2PoPr3IlqOI3z26yjcdwOyVxdXqL/yGkb+9BsKO59m9PYbsRpaWHD1O8js3U/f727EGxqk5zc/p+c3Pyc8fwHzX34mi9/+RqrWHD9p35760S9ZfPE5pB68FyscZt0XPkNs8SKGXns1T//mDzSvP5FlV76Brh37yA6NsupNry45S5ixGMIw8TMZ/GyG0cceYuieO0g9+VhJRmVV11D/0ldSf+FLyT/1MD3f/RQqr8lpaMEyql/2euzWhXi7N+I+dV/J19ZoWULo5IsxqmoAkMM9yN1PACCaFmNMQwSV9PGHdR8uYtVzF5ktBiqOViEhkahHDXfr2a6a5gMuPxNUVgeNzPkrnjXyWw4hBGb9PMz6edgnX4Qc6sHb/ij+3qeR3buQ3bvG/8C0wPe09dpAB+x8HACjrhVryfGYC9fMSpomDLNEiJXvag/u0T5tx+bmUV3b8fv3YSxci1EzWQZiROKQaECm+pGjvdrjeJoBkGEY+h4vS3qvSCEmQ0qpC4dIWbIqO9rBt+cMAb7mmmvYuHEj995776TvJmV2zqLM4YGWCYfDhA9yOqNc86tr4IzBLSdJh3FzBB2aiM6u6o8c2I/cs1G3JpbUFYMOY5pQ5dL4PXvw+/YhBzr0lFMw1SQMRCyBqCraycSSiGiVJpx2WEdgVVHzi9DWM6atlzmEJL4AwrQgVq2JavFhqaSPSg/pTm+oSyfl9bVr+7OaFu1FOY2OTwiBEavRnV9maMZjHdzUoDXgB1uKNe/55B2fgufj+HJc9NU0BNVRm3jYLskAlFL0ZRw6hnOkJ5DeqG1SHbGIhywsUy/veJKCJ3F9iSsVntTbKBYmLf6v5RI512cw6zKUn7qMZDJsIYCbNuxl484B6mqipDMOQsBJKxs5c2UjlhCMZAs81j7ILx/eS3YGYp4uQH/aYUdfmps2dpY+DyLOtbEQTYkwDVVhkhGLsKUT+YLyygXPRyp9TNIFj/3DOR5p17MjbziljUX1B5+F3lmUdMybppBHgMDFItBFl1fLE0IQsU2yjk/W9aiJai2wnhFSGNXNyMEOVGYIUdeGsXAdcu9mVPcOjHkrCJ97BYV7f6Mrxd1/I9UXXIKzbj2jt92A19/N8G9/iNU4j0Xvfg9O1mH43rtJbXqcQsc++jr2ASDsELHlK4mvXEN8xWqG+tIMbt3JOZ/5CFseuo/Wyy4huXY1ABd8/2vc8qqruOffv8Z9X/wewnNZsm4pdauO0x6rUlLo7cYd6GfgtlsY+t1Px/n0xteeQP1LXk7V6rVkH7+Pvv/9XIn4Wo3zSF74N4RXHI/ct4X8n36ASg/rNlbVYJ9wAea844qRZwfZvVNH6QBR3YTRtmbK46+U1P7nvqsjhsnGKZc7WCilyiwejw6JETXNmgCP9ML8lQf+wQyQRTuzA0VQnw0IYWDWtWKe/krkqjPwu3ei0iMQimC2LtVOE6aFSg3qa3+4F9m/HznYjRzswhnsgo33YC07CXv5qbN2mRCmjaibB3Xz9HNhuAfZsRWcrC5R3rgIo231pBlCUVWno/FeATnSi1k3vb7cLAa/fN/HdRyMKVyhXsjwi+WJA3ci3/NQUh70M3M2CKxLZ4PnBAF+//vfz80338w999wzzrmhpUWP3Lq7u2ltHYsS9Pb2lqLCLS0tOI7D0NDQuChwb28vZ5555iG3SRXtp2bj/ed7HrJIkuxQ6JBPuJJ+KQt5NjYtKj2EbNfkV9TNw1h0wkFnE6tCFr+nHb+3Hdm/H5UanKmBqMwIKjOC7NlzUNsR0YSe7qprRcSTOjptmDoCE47OunpbaX2GiUg2QLIBNX8VKtWP6tldjAJ04w93I2pb9fTqFFXzRKwaUgO6xKmbh2mi5V5R9mIYxqwHNr5UpAsuqbxbkjeUtou2HIuHxxLRQF9vA1mHPYNZcu6Y/KA+HqIuFqI2ahOyDLKuz57BLO1DWQayziQP3tkibpvEwyZKwmjeY/dAhsdTBbI5l637Rli5rJ6VC2tImIIHnu7loc09bOlJYU6QOERsg1XNCVY1J1jaUEVTMkzYhN7BLD1DGfK+YsgXbO9Ls7s/Q8bRA4GeVIGeVIEtxYpxB4OlDXGuOn3RIe13x4iehi2P+E6F2iIBHs67SKWI2Xq/g3MTC1maABc0AbZsG8918VyXcCSOiNXogi7DXZiNizB8D9mxBdm5DdG0hPBLrsLZcDNquAf3/v/DaltJ4zs+SnbjQ6Qf+AteXycjt/wcEYpQu+Zkml7+cpxUlvSmJ0ltehxvaJDM05vIPL2p1ObzXncyuXv/gBkJk356E8MbmjBjMXzHZclJy8mPpJn3mktJPb2FodvvZueXPofKjZDbvZN8zxC5zhHC4Rx21CY8r42aM8+j5uzzIDNM5rF76b3jV2PR4IZWEudcQmTVSfj7nqHwpx/qWRmAcAx79Yuxlp2k7alyKfy+vTpJsDiYFo2LNSmZRuMuh7r1lLkwMOva5s6OrNz+8Sj5uoqAzOdGUU7+sIIDKluUU8QOnAT2bMKobsContrLXSTrMZL1sEg7Oal8Bq/9KbydT6Ayw3hbHsDb9gjmwtVYi9dh1M+ftRRQGCaibh6iplkX6OjZpQMjuRTmcevHRXmFEJg1Lfj97ah8CplLjfM5HrdeIbBsG1mUO7mOc1jP+ucbPNfFNIwS4ZW+j+M4B1W0YraYzq9/KhzTBFgpxfvf/35++9vfctddd7FkyZJx3y9ZsoSWlhZuu+02Tj75ZAAcx+Huu+/mi1/8IgCnnnoqtm1z22238YY3vAGArq4uNm/ezJe+9KVDbpfjOCgpp/T/LYfnjdUptw6zglipjrp14JKOynPwdz0GSumI5+KTDupmlKkB3E1/xe/czkRRqFHbgtG0CLOxTWtsIzFQoJy8dlRIDSLTQ6hsCpXPaIcFz0FJv1i1qXjBS6mT3Jy8fgh2pLQ35VSwQhjVjRg1jXr7tc3a/3EWkgshhH6oJBu19Vv3Ti2NGOrCH+nDXL5ej/bLf2NaiGgClRtF5lKYUxDgwOYOOGBhk6C4RLrgkXXGomeB3VjENgmZxpSJbRnHY2d/hpGii4JlCOZXR2hNRrBNA6W0NvfpnhTtw9kDFc4qwTYFUUtvVwF512c469KbKtCfccjkXHr6MtTXRkkmwpiGICTB83xWzU/yZPsgo3mvGPmQDHYOIlPDhC0D3/MxhWAoleOiy0/j3WedwGO7B3nomV7uf3InDz+1j7BtEgvbvP2SE/mvy08gZJvkXJ+hjMNI3mUg49BTtEobybk4vk7mc32JAsKWgVk8VlVhi7p4iOPnV7O6JYFtHvx9NpAucPc2nbBzoAhwImxhGQJPKkbzHlUhfU07vsSTimjIQlDAkwrHk4QsU0c9ikmzVrIR38mC5+AP7MdsWowhDOT+p1G9uxFOlvD5b8R7ZgPetoe1brJjO5FlJxF/3yfJPvUomUfuxh8eIPvkBnhyAwiDaNsSat78ZoyaZvJ9fWS3PUN2+xYKnfuRo8Nkh4cwhE/vn/5M4RmdlObmXFL7RonWRkn/7mdIx0dIh32/vJnqhdVIX5LpzxFuqGXRe95H1UmnYcciZB67l6Hrv4VMj5SOS2jRcqrOuIjwcavxtz9O/o//M6btDEWwV6zHWn4qwgqh8mn8fU9rjWaAaAJj3oopp6UDaDsy3RcadfPnVqYwzv/86JAXYYchVgPZYdRID6Lx0AZzgJZRwPhiRc8xiEgce+WLsFacht+5A2/Lg1pXvGcT/p5NYNoYdS2YzYsxF62dVbRbGCZm22pkoh6563FIDyJ3Poqx/EXj+l8RiiCCkuYjPTNqwYOiKoE3cKAHfqGTYN/3dRXVsmMRWMMebQ+GY5oA//3f/z3XXXcdN910E4lEoqTZra6uJhrVNl0f/OAH+dznPsfy5ctZvnw5n/vc54jFYrz5zW8uLfvOd76Tf/zHf6S+vp66ujo+8pGPcPzxx3PRRRcdeuOKJ27aKnBlkTsoluc7THF8Kfo7C0sX2blNRy4jcYzFJx6Ur6236wncJ+4s+feK6kbM5kUYjQt0tbnw1ORAWDbEEtAwe39l0JnKcrhX676Ge1G5tLZBkz7KKUCRKJR0YQFCUczWpVhLT9RRgFnso4gmMJechGpeit++EbIj+B1bsVa+ePKyoSgqNzqtFVsgfRBCTDuw8aUinXdJFcZHe0OmQSJiEwtb07ocOL5k71CWrtFCcTvQVh2lrSaKZWinhK19KTZ2jZbIMejEsyV1ceYlwySK6+/PFOhLOwznXNIFj8GsQ3/a5amRFFl3vEwhl/fYtmuQkZE88xvjtMRDtNZGebprlM0dw7i+5K4tvZiWQSJkcvbyRnqbEjy4pZfzT2xmeWuS5to4u7qG+fpvHqK2KoppGty2sZvv//4x8ulRquoaWbuiFctJ81+/eYiqqM0VF6whYhnMq4kyjyPnsVqOTMHjvl0D3LG1l4f2DJYs5JYcQD6h0BIVTyoKnqQ6YpXpfiVR2yQa0jKIvOcTtk2sYlltv/hgNOva8Pv36mt7tA+zeQlYNrJ9E2q4B+U52KvOwFqwGmfjXcjedrwdj+Ht3kT4uJOJvftjeH295J55jPz2zfiDvTj7duLsKyaPVVVTtXQV9We8Fat5AW4qTWF/O+E77qHj93dS8KKYIZN8eggrFiW5dhl2PI4ZixNfpxh4bAvDHcMoz6P29Bex/P3vRA3sJ/XHn+F2tpeOhRGrInr86cRPORuroRm//SkKt/6wNGAX8Wqs407FWnI8wg7rgWPPLj0NHdgw1jQjGhfpRNQZ7mOZGdbVHAGjphVjitmbw0PZtqU3q7LKRwJGTRMyO4zs3I6obj70KHBRz+w8dAt+925CJ5yPiB6bjj8HghAG1vwVmPOWIwc6tOVaxzZwC8i+fci+fbib79XPhDVnYtYdOInQqG5CLH8R/rYH9CzhaC+ierzu2kjU4+fTOoiTHZnRls4oRjkDzb/0fWzbnrZK4wsBsuiQMdES9lggwMe0Ddp0HeGPfvQjrr76amCsEMb3vve9cYUwgkQ5gHw+z0c/+lGuu+66cYUwpktqmwoTfYAD65PpKsAEkZ65EnwrpfC7d4CSBzRhV05e+2cqibH8dIzkgcsGgybYziN/wu8qPkCbFxM68QKM6rnR1x0qlPR1VHmkDznUU3x1j/fmrG3BPuE8zKbZR0tUIauPEwLzxIsnlRmV2VHkcJeuOV8//lpRSpVKYVvFBMiJ34/mXUZyTikiawiIh2ziYYuwPXWHqPWsPr1pLQEILMjq4yGW1sWI2CZSKbb3Z3isY7iU/GYbgmUNcdY0JaiLhXA8yROdIzyyd5hdA5kZpRCG0FP+C2uixGyTWx7aR+dQjsaGGB2pPI4nS9eum/fwsy6nHdfAu19yHCuaE0Rtk6F0gfM+dRvfeeeLOGe1zuT/yZ828oM/PMk33n8xJx/Xwq/u28V//uQeDNvGjSRLx2W0txtDCE454ThWt1Wztq2G05c3sKz54GQvs4FUis2do2zsGOaxvcNs7BgpOWYArGtN8vpT2zhv+dg1n3N9vr+hnVMXVPPixXUYQtA5muMPW3oJmwZXntyGpxQPFvXHZy6uwzQEg5kCqbxLMmJTGw+Pu2Zs28a0LGQho0uxAkZNC0asGpUaxN/xsCZgVghj0QkYNc34ve24m+4ZK2QgDMz5y7EWH4/RvAh/ZIjCzqfJb99IftcW8MZruY1YFfa8xditC0l3DdNx0214mRw1p5zIonddTXzRQpTvIws5ZHqE7O6dFNp36yTawQ5ULlO2NkH4uLXETzmLyIoTQEm83Zvwtj1cKqMrogns48/FXLgaIfRMhUr1a+Ib5DIkGjAWrUOED6znVE5ODxjQpGQ25dAPBV7/XnByiKo6zDnSFh8slO9pL+B8CmLVmCtffEgyD3+wC3fT3chefdywQthrXoy19KSjkuA311BKoUb7dXW7vU8j+/YVvxFYy0/FXnf2rJLm/L2bUH17p626J7MjyOFubT3atOSA3sC+75eSo0ETY8M0S0Tw+RIVDqK7MyX2F/J5DNMcx5OCCqqmZR0R14zp6jZMxDFNgI8lTDygnuvieR6GaRIKHV5VstlAuQX8vj2AwGxdPuMN5O/djOprh6o6baQ+i5vN79lD4YGbwcmDMLBPOA9r+WnH7I2qa7h34LU/jd/+dClabbYuwz7l4lknfXhP3Q35NMaSkzEmJDnI3ChyqAsRimE2jCfAQbIDTC6DrZSiP10oSR1s0yAZtYmHJk+HSakYzrulyGyq4I0rZFEVMllSH6cmaqOUYu9wjof3DTNcTFSL2SbHtyRZ2VRFyDRIFzzu2tHPPbsGxiWghUxBY1WYmqhNMmJRE7Wpj4WQUrJvKMcT+4bZ1DnKSMZhuDdDoi5KKGLh5D2itsHJi+q4aE0zKxpifPvWbeQdn/9626klW7CQbXL5V+7mvDVNfODS1Xiez3v+64/kHI/rPvFqAJ7Z288//8+dXHTKYt508Qn8+YkOHtwxwO0PbWd4aJhkcytG2fTiwoY4n3jtOs5aeXCFXqaCUorbtvTy84f20j6YHffdgtooF65o4iWrmlhYNz6i6PqS/75vD1v70iQjFv904XJqojb37h5gS1+alY1VnLOknpGcy8auUSKWwfqi9dpw1mEk51AVtqiv0hG8Ur9R5hkaFHIAUZxhiWl5wK7Hxiyxqpsx2lZBOI7s3oW79aGyhz0lf1WzeZEuphGOU9i7A2fPNgrt23A69ugiM4cBYdmEl64isvwEIqtOwqxKIkf68XY9ibdn09iANBzTketlJyFMa4z4du0o+Y9jWBgLViPqF8yuWpebxy+WwhWRKozaeUesb9I+sJ16gNG87IiVVj4QVCGLv+U+XQ65pgVj6SmHvM/+YBfuY7fpwAGAZetztGL9rOzdVCGHWxzciJjO1zAbFxzRaniHAjk6gPvM/fh7nwGKg7CTLyolWk77u+Fu5M5HIRzHWnf+pO+VlLrctpIYdW3aJeIACJyfgpnCAIFb0LHggnComLhv00lBA4/8YMAfIKidYIdChyULnQ6zJcDHtATiWEbpZD9L4wflFgsOhGbWHCsnj+rXD0bjAEQ5gNf+FM7DfwQlETVNhF/0iqMe9T0QhGFiNi7EbFyIWneOrnS08wn8rp34f9pL6MQLMZeccMD9F9VNqHxa6xAnZfkWZSxTFB0OPJ8ndmJKKfpSeXJFWUFdPExVeDzx9aXSEoSihdnEym2mENTGdPWz2qhOGsi5PvftGWTPkCZvYdPgxHnVrClWRcs6Pn/e0s2dO/pLHr31MZvTF9Vxwrwk86ojFDzJU50jPNU1yt17h3iqa5RMYXznbEhFNGRy6boW7n+qB9tX1IRN7nmsk0tWNbG0Ock5q5u59u5d3PJYJ689YyGmCf0pHdmMFCPbz+wdYHf3CK8+e0Vp3Z6nE0RM06AhEeZ1Zyzizecs5fqFMb74iwf4p8vXMZSTPNk+xCM7B9jbn+Fvv/cgbzxrMf/0qjXTRs0PhLzr85Xbt3H7Fu1hGwuZvGhRHcfPT3L64jraaqeeRu9LF/jBg+3sH84Ttgzed9YSaqI2Uip2F8/D0iJhDmQk0bI2GsVTLsv6CNM08TwPKSVSSh0ZStQjvYImvQP7MWpbMaIJzFVnITu360SdkR78kR5t5de8lMj5b0IO9+Lt3oi3bysUMiV/VdCyA6NhAbHFi6k69UyIJfF6OnE69+B278Pr78YbHkBmRkvT5OUQkRhWdR1W0zzsloWEFiwl1LoQYdnIzDB+53bcvU+PL6tbVYu1/DSsJesQpq0Hqf17kb17SkQeYSAaF2K0HDerCKRSSuv2R7p1X2uFMWpmLkxwuBCRKi198F1keuCoRYFFOIa59FT87Q+ghruRHc9gTuOKcSCYda0YL3kL/p6nNJEd7cfd/Fe89qcInfZyzAPI1pSb1zNk4SgqPYzbsQO/YT6h488tJRGrfAa/V0tjjNpmRFXds07wjGQ94dMvw1+0FufR21DZEZz7f4vRspTQyReVrPYmQssahLbTdHKTiL0wDEQsqT28s8MwCwIcaIJNKZFFn+AgSa5ki/gclEeUz2QBB0xiE4a21AyWCuojzCQdfLZQIcAHgVv/+EdMw9D+vhM0vkcaqphIcqARtyyOUqmqm1UJTb9rJ85DtwBgLlhNaP0lz57h+xxBROKETr4Ia9lJOI/cihzoxHn0T5g9ewi96BUz7o9I1GmCESSLTIUJ5zi4gYFJuu7RvKutsICmZIRImT+uVIrdA1m6U/lxpDdkCupiIRIRi0TYImaPJ9X7hnPcvaufvCcRAo5vSXJiazXhouPCPTv7+d1TPSXS3VYT4WUrmzhxfrXW/6YLfO7WLdy7o3+SFCIWMjl+XjUnL6jhpLZqLOA1X76bfMblvNXNvOei5eQcj2/+YQtf+/0zDI5mqYkY1EYNPv/bTdy/aQ8r5yVpm9eA40kuWKuTl7bsHWBgNMfFp44lrkZCFrZlks6N11RXxUL4UnLWyiYWtWh3k0zB4xu3bOHn9+7mF/ft4fHdg3znnS+itfbgIk47+tJ86c9b2dabxhBw9YsXc/lJ86kKT39NpAoet2/t5Z5dA7i+oipk8o4zFrGgmBi3eyhLwZNELIPWpI7sBtH2WGjsYWAWGbBfdsiFYWAYhrbP8zyMYqa4UdOKHO5C5dPIoU6UU4uRbMRsW4Wqn4/s2IIa6UUNdmj7r6o6jJZlhE6+CPuklyAHu5A9u/F72pEDnbriY2YEv32z3rBlY9Q0E6qfR/T0czHq5+lENCVRnodyHZ0waxg68afsoSZzKWTfPpzHb0P27R9/rwiBOe84rcNv1lPDSvq6ilvf3pL3OIZZLD6wbEY9q1IK3Dwyl9KaSyc3phMOxTDq5h3xiKwQAiPRoM9HehBp2ke09PGMbUnUYSw+Ebn7CVTPbqQVRjQvPSRiKYShvXQXr8Pf+zTOk3ehUoMU7rwOa+mJWKvPxJjGLULEq7FWnKYLE6G95fO3X4tX04x93MnIkX6cJ+9AFbLaycMpYB9/DtbiyX7UzwbMlqVEXvYOHRjZ+hCyexeFu64jcvHVU7v+mDbEq7WH/Gg/omGyPNKI1eBnhnXAxPdm/Zw0ivc8jJdHBMn0pmkeETuwI4HA4SLgPTNVPg2sZg3DQPo+qvisDKShx0LBkKPfgucQNm7cyDnnnkuhUChl/R9rBFgNaj9Vo2XZrLyQnY13AWAuOYHQqS97TtyE08FINhC+4Eq8rQ/hbv4r/v6teI0LsI87ZdrflIqJ5NOz8o+GsYp+U2m5RovkrjYeHkd+AXpSBTpHdSQ/Yhk0VoWpj4WoCk8/FdabLnD79j58paiN2py3tIGG+JjkZsOeQX71hD7nrckwr1jTwonzxnyLs47Hx/5vEzv7tH6zORHm+PnVrGlNsrY1ybLGKkwBnlTYpkH3cI5Tl9bzfw/v4ytXnUrENvjwd+7g1kf2UN3cyieu7STk5YiELGS0htueGeKvO0bxVAfvfekKljRXkck7bHi6g/kNCVYvasDzJZZpUFMVpjYRYWfnsD5fRYKYKXrpzmsYS86Jhy3+5fJ1nLumiX/++eNs7Rzlrd++j2++Yz2r5x/YAlAqxQ/u2811D+9DoX17P/XKNZzUVjPtbxxP8pftfdy+ra8URV/eGOdt6xeWfH9TBZcN7Xoaf01zAqOYyDFc3IdyAjzdDIJlWTjFHAKreM0Jw8ConacdDjJD+mWYiES9Ttw8bj0qM4zs2YUa6tZZ6zsGUYl6jNYVekq6fh72mrO0n27/fvz+DmR/h47Seq72VO3fj7f1Ie3BnWzASNZrv+5wDCz9EFauo91b0sPIoe4x95nSbgmM+vmYbSuxFqwa58eq0kP4e57UJZ4BQlGMxkWIhoWTNPblUL6nbeGyo2OkOYBhImI1uvLls9Q/GbFksbzuAHKkB4Rx1Lx0jbr5UMghO7ciO7YgClmMhWsPueiQEAJr0VrM1mU4G+/C372xKGPZjL32bOxVp0/xGwPKnFWMZIN+FhWLmTgb7wK3QPi0l2PUtuDueAznsdv1bMY0dmdHGsKyCR1/Lub85RT+8tOSh721cOoouojV6AjvxOs9+N4Ogx3RhTQKmQMWSJpyHcXKsaZp4rou0vdLVeTMokvU0Y6KTgellG5z8fkXCodnbGtwr1qmiSslhXy+9JlpWYdtCjAXOPoteA7hnz72Md7z3vcSjUbH+b8eaZSqrcGM04bKLYwtN4vorxzqRo0OgGEROvGCZ+3hIvM5CruexhvsQ1g2RjSOmawh1LYUYR+enloIoTtww8B98k687Y9gLTt5hn0Tpb+Tlgk8SScmn6igNPH43/hSlSK78fDkpLigyEJbTYTFtbEDHu/edIFbt/biK8WCmigXHddYiioCbO9L84vHtCvGRSsaedW6lnGOEr5UfOYPz7CzL0NtzObTr1zL8WXkeKzEssAuFs6I2CYvXtHA47sHaUyGiYQsvvi3F/KFdys+9NPHWdGa5F8vX4dlGhRcn47BLDt70lywthnT0Mejsz/H/U/t580v0T6eQZsaqmOcsryF7970KEOpPLWJCP0jWf740E7WLW7EtkxdKKJsH89e1cQvPngO7/rvDewbyPKWb97L/773xZy8ZLxtXTk8qfjPPz7DnUVLswtWNPKec5bSkpw+8ri1N831j+2nP6PvnwU1UV65ppk1LYnS8UoVPG7d2kvekzTEQpzQognRcM4l6/oYAhpiY9evV3xQWBP6iHILoHIXGSEEZnUT0rKRI73IVL8mXlVaUyziNZhLT0E5eWTvblTvblRqAD+1AcJxHR2taYZoErNlKWbLUkAXjVCjg8ihLvzefcjedlQuhRrpwx/p48AQiJomzKaFmE2LMBomW48pz9G+qn1Fdwg7jLFgLaKmZWbJlvSRqYFiVLl48wQliENRncAUih6VgbmRqEdKv+TXjGHOSvt5JCBalulI2v5nUP17kYUsxrJTShHZQ1pnKEL4tJfjL1qL+9S9yL59iMT0RZLkSB/uMxswkg060msYmAtXI7MpZM9uwue8HqNWzwDZx52C+8wGXW3tKBHgoM3Og78DQESrMFtnqA4ZlNSewVlEWCEtR5T+tMvMBkIIQqFQKZekvFLsTFHVownf98fVM5gt9xHFfAdZLKojpiH5sw1AzSUqBPgQYJpmSQP6rCRIBMklwgBjhlNWtEkjFJ1VxrC/R0+PmvOXz3lGsJ8Zxdm3C3+4H2GHMaJxRChE9okN5J55bGrdYTRO/OSzqDrzYsz44UVbrKUn4j59v64z37UDa97yqRcsVX2a4jwWE+swJ5NZ3eDxN2tAeEwhJlmblZOkBdUHfqDvGsxwz64BPKloqgpzwbKGceS3J5Xn+w+04yvFKW3Vk8ivUoqv/WU7D+weJGQa/Oer1rGmVR9Tz5eYhiitbyBV4P/9eRu/vH8PP3jfi7nohFZueHAvNzy4l2XNCRprYvSnCri+ZFFjvFSOOWybLG1OsLR5/LTpjo4heoezXH7OyuKhFcXDJXjtuav41V3P8O6v3sKbLlzLI1u72NExyFffd9G4ZcvRVh/jlx86h49c+yj3b+vn07/eyG/+8dxxZaHLcceWXu7c1odlCP7p4pW8dM305WR7UwVu2tzFk53auaAmavPq41s5pa163PHszxT487Y+sq5PPGRy8YpGrKIH895hPTvTkoiMa5Nb1D5M5Ulc0gL7PkyIhBjxWh0RTQ8iR3tR0h8X/RShCGbbalTjIu1pPbAfChlk13bo2q7v/5pmRHWT1mEaJqJYeCCYkpbZUdRwLzI1qG0HC1mdJKckWCFEOIqI12jf7ZrmafsH5Tmo3j3Int1jton1bbqIxQzZ90opVHYEOdo3dg/aEYx4ra4MeQz41gohMKqbkMrXOuShDh3Jtg+9MMXhtEU0L9VJkLsfR6X68bfcj7nsVK1ZPgyYjQswz38Tcqi7RGCnXtAG08bv3IFy84ROfyVGog5v3zM6qbF+XonEKM/BqG6auXDSEYQqZHG3PIi3/VGd2xJLEj7rNTMHkIKE05ki/cXnqjpMAhzANE2McBivGAVWRXcEjjESXO5qYdn2IbXNMIwpn7NSSjzXLVnIPZuoEOBDgCwjb9N5uM4llKd9YLFmriwT+ATPpkNUSuLt26JXu3iy7cuhwE8Nk7r3Vgo7n8Yb6JlxWauhBXveIvB9ZC6D29eFTA2Tvv/PZB65m/gp5xBesorQouUY4YN/4AgrhLX0RLytD+Fte+TABHiqDNYge3fCYCKY0J74C69IeIIyxOXoSelz2JwIT0vcQCds3bdnsJRkNT8Z4aLljeNI1Gje5bv37iHr+CyqjfKWUxdMug5/cP8efr+5C0PAJy5ZxZrWZCm6Gmz/yT1DfOdPW7l/Wx+nLqnj828+mVOX1mMagn961Vo+e8Mm/q73IS49eR5/3tiFbRq86rSZk2WyBZcf3foki5qStDUmJ43qm2vj/OKTr+Y/fnof//XrB1nQmOTf33YOZ6yZP+N6q2MhvnzVqVz6+TvY3p3iF/ft4S3nLp1y2bu266jmlesXTkt+c67PH5/p4e4dA/hKIYBzltZz2bqWcYlsUik2dY3yaMcwUukKcC9f2UQ8pLvOrtECo3kPQ8D8CdXjZiLAhmnChGS4cd8nGpAIVHpAT8M7OU1Ey0ilCMcwFx2PalulfYOHu1Gj/brsd+8eVO8eTVqqGyEUAzuEEa9DxJJ6Oj+W5FAesUpJXWZ8oAM11DkWDYsmMdpWz2i7qJRCFbKa+Jb1a0ayCRE+8KzIs42SPtv3UU5WFy2pX3DULMSMmmbEihdrm7x8Gv+Z+zAWrEHUtx32sZuR/AJGVQ3h9ZegPBf3yTtxHrudyIVXokYH9aDFCo0FB1xH96nFZ+WzEd2T2VH8zp34nTt04mXgwd+6lPD6S2eM7CrPHSvYEpneZ18Ypu7/54gA63Ua2IYxJjEoks1jhQAHlmWgCftct0sV+8BABnI414nveVOkrE+PCgE+CFx22WWYhjHO3+/ZiAAr98DyBwCVK0aAZ1Moo79D3/B2BKNp4eG1TynSG24nddfNpbYCWI2t2I3zUJ6LzGXwMylCbUtJvPgi7JYJvrpSkt+2kdQ9t+B27SX9wO2kH7gdTIvIstVUnXEx4SUrD6pd1nGn4m19WJukT1fGUo1Nu05CENGamOxQJoEoh+cXK/5NIDyy6PoA0FQ1/TnsGMlx164BnUQn4KTWak6aVz0u8uv6kv/Z0M5A1qEhHuK9Zy4hNKH88O82dvKzh7Tv54dfsoJzi562QXT1xgf38qO7drJ/IMtLT2jlFx88h3ULasat46ITWqmO2dzxVA+3b+rmlCV1vPui5ZOkHRMRsS0+/PrTqYmHpzxGAC11VXz7Ay8b99lsHpA18RAfvHQVn/7NJr5961b+Zv0CEtHxEYNMwePhokb3vBVTZ+9v70tz7SP7GMrq+3hNc4LXnNBaSmgL0J3Kc/+eQQaL+t7FtTHOWVJfSj7MuT67B7XWdXHRo7l8f8YI8OT9MsqS4TzPm2SlKITATDYU5RA9mnz17tZR2XjdOD2tMG1EfRvUt2nP7NE+TYiDCmu+B9lhiFUj9z8F+azOaI8mMCJxlGHpa10YEI5rMoPQv/McPeXr5PQAO5fScoVyAhBN6pyD2pndGZSTwx/tGyMaQjtgiHjtMUd8yyGEwKibVypa4vftGdMkH4WEYRGvxlxzNn5Qwax9I/S1Y8xbgUg2HtFjqaREWDbmwtX4g53I/v0o6Y3pwJUCIUrVP49k0Q3lucjBTmRqEL9zJ7J717jvjdoW7LVnY7ZOPVAeh0D3G4rOqFUvRTDnkAAHEEJg2zaForfu0ZAElGOin3EQoZ3rNhmmiShWyfQ975CjwFJK3GJb5RQzzFOhQoAPAj/76U9LIvZAA/ysXKDFSMkBDb0PIgLsd+4AwGxdekgG6wGUlIz88RdkHrkbgNCCZVSd9TLCC4/DiM5eLycMg+iqk4isPJH81ifJb32SQvt2/KE+8ts2kd+2ifCyNVRf/Drs5pmjhQGMWAJR04Qa7kH278dYsHqqHQgaMPmrwDfVODgJxETN53DexVfa7SExDYHcO5zltu19KAU1EZvzl9XTEJ+gs1SKnz+6nz2DWWK2yfvOWkIiMn59D7cP8rU7tgNw9RmLeOXxY9WQCq7Pv17/BPdu6eWqc5fy2jMW0jJFyd+g411/XAPrjzs4/Z5hCE5ZPnMkaSrM9j567RmL+OGdO9k3kOXB7f1cdML4ak8P7B7E9RULaqMsqR8f8VFKcfu2Pm7e3I0C6mMh3nDSPNa2jp/yTBU8Hto7VIrCh02D0xfWsrwhXmpnwZNs7hpFKkhGLOZNIM++UqWx1XRlmS3b1mVTi9OfU+nijFg1wo5oKUQhi8oM42eGtUY2Vo0Ix8cdO2GYiJoWqGnRD9F8GpUa1NZNoItjeAVNjkf7kNEEJOp1MpNS2uYqOwozuaIAmLb2pq2frx1nZiK+notM9ZUlFwlN5BP1h9X3PJsQholZvwA53I0qZFDZYfzcCCJWXTpHz2p77AjmitO1M0TXDsiOIHc8DJEqTYJjSZ2kFqs+bJLu9+8Hz8VsWYIwDO3yEdjtVdVAzx4wzHHOCHK0X3s2z7IIUzlkUbYmB7X1nYjEMKobEcl6hBVCDvfy/9l77zhJrvLq/3tvVXWcnHc272oVVzmBkBCgYJJJBoEBR/g5wGsbAzbg9IJthI1NsMEJm9dEAQYDBkxOAgmExCrHlVabd2cnh46V7u+P21XTPdMz093Tk1Z1Pp9By0x1VXV19a1zn3uec7zjj+MNHZzXMCm7N2MM7sbYfCaydeE+gblQ+dnwlkVRehY0SwIxF0FfSeA0tFZV4HKniuC8rNjiK9CNIuBUTskjvdEqcLnfckSAVwBd3d2Mj48TK304c+P9Vgoq0ACbS1SACyUN0xIEWCmFd0KTJGPzAtKAWs5LKSa/+gly9/4UELQ/9ybSVyyvmU4IQfLsi0iefZFuDBg5Sfbnt5Ld92OKBx5m+Mm/InXhVbRe/QuY3QtrOwMYvVtwJ0/p0IBqBNhfmAAvVAFWC1WA/aACXPn7oLGqO119ABmaKfC9x0dRCnZ2pbh2Z3dVmcRXHxri50cnkQJe97Tt9LdW3g9PjmZ559cexldw4zn9/NrTKlPx4pbBG597Fn/5ygtJLVLJXS/VuB/dd4S9u3rpap0l6YYUXHNOH7fcdoifViHAt5bkD9fuqayE+Urx2buP85NDujr8tO2dvPzCwXlV24eHZ7jr6CSur2URZ/W2cNmWjortCo7Hg0MzFFyfuCk5u29+Yl1Q/TXlwqlPQTqUX2qEicXjVbcVVlyTr2JWk1k7p4ltIaOrqO19yCod6UII/UBPtqL8rXhDjyN3XozwXa1pzc9oeY+dh8yEJhPJVmjv0xUx3wMzBlYcEUtBPIVItiLSHZpoLeUy47n4mbEK2zSRai9VTtcmYng5EIaJ0b0FP5BwOIVwQoJh6YCORMuqNe0JIREDuxHdW7Q7yMhh7WZTyMwuAwupnURKP6Ta6z43NT2Gs/8urfNt7QQh8EeOYZ51OTLdgezowz38EP6pQxiDZwDgHnoQkUgjuwZK51p5TG/8JPZd30B29CG7BzG6N+v0u2OP4j5xz2xhYqlrkNRFDtnRh7ljb9gwWi8CArzU6mn4LJjrVNJECCl1IuMaEWDXdStWuQPN70re0+VVYNdxsOoMFwuq1QF8r7YJSkSA60BwgVVgg7XqDhCLNJV4LjglTd1SBHhmDJWZBGlg9O9o+Nxmbv2aJr9C0vVLryd53qUN76sahBBYfYN0PP+XaXn69Ux994sUHr6b3L23k7v3J6SveBbtN7580QqH7N0Kj+/DGzlWfYOwCa7yy62UglADXH3/C2qAy+4LpRRjIQGeP4GxPZ8fHBjFU4ptHUmevaunaiPYdx4b5tuPaXL3qou3cFZf5Wc8lrV5x/88QNb2uHBzO2+9/syqA9bOvoXvDaUUtz94jKvPrz0ivBzZfJHPfuMOPvbl2xganaSvu41nXnY2v/GSazhze31V4R/cc5hf+5uvcv2lO/joH72g4r08/cxebrntEHfsr3QwcDyfO0sE95lzKtdffuAkPzk0jgBefuEg1875+1TB4ccHxxgqabUHWuNctb2LrlTld248Z/PYcAbXV8QMyQWb2oib8x9S7iL633KUL3k6tr1olUXG0xBPo5yCbmLLTy+5FBsuo3qzY4iw2hAtXVDI4k8cx9h2PsLUSYPKc/BHjyD2XIlMd9RPlpQCt4ifnULlpggU8yKWQrb1LuoBvFEg4ylEzzZdkc9N6uV+z0FlJ/CyE9q2LdGqNc1mbMnejeVCWHHdFDmwW8tfZsZ1oEMhq0n69MisHMawEJ0DyJ5teiJTA4wde5E9m3UEfampLX72lcgOXYAwtp6NMXQI55E78MaOo6bH8KdHiV/10uqyM9DXa3oUb3oU78jDzKWTsnerjrU3LT1ZmxzRunPXCd0cjM17kJ2Lu4zUCjUzBrD0NQkJsLtiEoXQN7fGKmYzUe5GsZr+xEIITMvCKdlDGgusiC0E3/cr/PqjCvAKoTwEYTUa4Gp2gCj5MWJYi2uYAO+4lj/Ivu0NN3PkH97HzK1fA6DjBb/cdPI7F2ZnL92v+G2KRw+Que0bFPY/QPbOH2AfP0T3q/8PRqo6sQsSjtT0KKqYm9cIMStnmPNlUz5hu9ucWXg1CYRSarYCXEZgpwsurq8wpaA9Mf/zu/vYJFnboyVm8Jzd88mvrxRffuAk3398FIAX7x3gqjkWYONZm7d84T5OTRfZ0pHkL3/xvHm64KUwNp3nj/71e3z9Zwf4x9+7kZueVaVaXgWFosP+w0N8946HeP/Hv8nw+HT4t8Mnx7jrwYO872Pf4OJztvPK517J7970HJKJpWf3Pe1JFIqv/+wAt3zvIV5z/Wyj5uW7u5ECDo1kOTmRD8MxhmeKYVV2TxnR//GTY+H1+7UrtnLZ1tkqUVD1vfPoJF7pc7piayfnzKnqFl2Pg2M5RkqTmZa4wbn9rVXJL2hPYViaAAd2SLZth80mSy01CiuB0Z5AtfXq6u1S0ihKTT7SCO9zHTiRB2mG5FcfUyDMuF6+Li3FLipvUAp8VydQBjrh8uqYlUC29qyZfdhKQQihda+JtNZdF8uq8iXrtFB2IqQmw8k2RCK9Yg4XwowhujZDl5aIKaV0RbhEitXMmCaeo0fxRo9CulNrt9v7Fr/fpFHyjK4uZxBCYu29Bu/wQ3hjxxDxFIln/fKiEgTZ0U/86l/CHx/CG9Ne1cKKI1q7sM68HGNg5/IuRh1QxVzp+SmWtg8tfwb73jyHoGYgIH5BatxqrsiVSztXO5zDMAy8Ul/EYiti1VCezDo3enoxRAS4Tnilag2wKhGGs/KHJRwgAuP5Gh403qmDAIt7Ii4Cd3KUia98EoCWp99A+tJnNrSfRhDfupv4L/8f8vvvZ+JL/4lz/CBT3/gsXb/0+qrbi3gK0dajqw2jxzA3n1m5wUIa4ED/K2TFA6s8+GSuB3CA8qa1qYImAx1Ja96EaTRr89ApLVt5xo75sgfH8/l/PzvCAyc1qXzhuf3ccFZfxTYzBZc3f+E+Do3n6G2J87cvPZ/2ZH3Ly48eGePVf/1lToxlsEzJdK644LbHTo3z+r/4KN+/85Gqf9+5uYffvuk5PP2CMzh8cpTPfuMOvnn7A9zzyGHueeQwb//Af3Hrf/4JT7/ojEXP6fxdfbzj1Vfxl5+4jT//zx/x7Iu3M9itq0mtSYvzt3Vy3+EJ7nh8lJdeoSvWQ6WQkYG22bjwiZzNF+/XQSEvPK+/gvzans/3nxjhWMmfebAtwTU7uyt02kopjkzkOTaVDz2eB9sS7OxKVa3Ug560ZIv6/knElh4jpGFgxWI4JRJcLBaxarAaEkLAIp3tFXDtCgIMlDSbc+4V5aFQC07ulefiz4zp7UpNcvOr0EJrlNPtiNj6c3ZoNoQ0ZqUmyp8lw05R928ov0yyIrS/caJV63RX0O5NCAHJVn1u/btK7h3jqNGjOkwlO4F/4OeI1m7ktvMrAk3qhUy1Is95GrWOPMKK6yrupt01v2alEFbHWzqXlOYIITTp9Vw90VsBAizmFFZW6/sTNKEBa5ZMZ8ViFEsxy7ZtE6tBdxw4SIAO2KjHBWLtzRY3GFb9BilVU5aq6lJjUhyAP3YSAKNB94fsvttQxTzW5h20XffShvaxXCTPvIDuV/0uAPkH78LPZxfcVnZpnag/UcWabQENcNjkUOMAFxBgY47mM1eKJ05XIUIHxrIooL8lHsbsluP+E9Mh+f3NK7fx3HPma56/99gpDo3r6v8HXnEhm6vsZym8779+xokx3UD5jb95Fa9//kULbvvuj3xlQfIL8JLnXMqZ2wdoa01y1s5NvOaFV/EbL7mmYpvfe88nazqv4DxyBYcv37a/4m87+vTDev/J2YrzsYmSH29ZQ9odhydwPMWu7hS/MGfycN+JKY5NFTCk4KrtXTzvrL55TYpHJvMcmdTkty1uctHmdnb3pBckv6DT9xR6JSCxQIV4LgzDmK14lOQQtS7j1QLl2ghphve5EEIT17kWf56nlxIXuu+V0tXN/Iwec4LviRnX+t7OQYyB3Rhdg8g5DXpPBQghkYkWjI4BzN7tGAN7MHq2acmJNPX1K+bwp07hDR/Ez0+vWpqoEBLZ2oOx82KM85+N6N8NQuowlUdvXzwO/jSFUgp/TIcJLWbfV4FgFWWFG+GC81stBJXThYIqVgPBihjM2qMthfJtBPOliYshqgDXieCGXC1xevglW0z+UI5aKgpSgk/18IdaDlG6w2KDOxBr6FXoDGldr9m7CZFYpBJW0kZX9YEMGt3mEIGFvkQLVYADQuTPGbACy6wgWrccAdlaiCN0pqxwHxcvEP+7s1sTwXTMYKC1upzF9Xx+fkDbqz37vPla3GdesJWv/vRxYqZBX8fiFcX/8+obGJ/K8qXv7av69w988lt84JPfWvD1bS1J3vXGpSdNnufzBx/+NgDJuMnzrphdrRibKfLt+/Qk7qozZx9aDw9pMnxm/6z8IdBflye6gZ6wPDaiSf8zd3azu3t+9Struxwtkepd3SkGyyrLiyFv6+9sKl5fN7MsJSbZto0qmcMvp/NayxP0Mq3yHK1HLd+XkHq5vpTOBICjq+GB48y8Y0sD0dKttzdMXTGz4usiuGI9QggBsSRGLIlq7dG2coUMfnYCPBd/4iQiPq39fVexMVBYCYwtZ6N6t+E9eTfkpvD234HcdQmyvW/pHZwmUBMnIDuhV/q6l+59CFc9WNqWdFnntUCj9UoirKKuUnP/Qii3iKxlAhAEkymlKNp2hRZ4KUQEuAGslvsDUBbHu8QDJjifGrpnhRXT0gpn4aXuxSBL3o6LVV1XGvbJI0x/70sApC995qKfh1+qbMh0FRIZVnrnEPnwetb2ZZLhjL1y2SoITMjY7rzXBMEJwxmdsjZXL7qlPYkUmjxP5h06U/O1nnsH2+lIWkzmHe49NsVl2+d3QX/rvpP88afuZmdfmmed2z/vWr3qOefy7/97L/uPjfPrf/s1vviXv0QiVn1oOG/3Zj7392+s+J3tuBwfnuDH+/Zz292Pccf9BxidmMEwJNsHezh/zxYuOms7V164mwvP3Lrkd8d2PN78L9/lS7ftxzIlH3nL89m5qSP8+8dvfZK87bF3awdXnz37sH6olOa2t8zWbDI/K0Epx5HJHAXXJ2kZ7OycT/qVUjw+oiv0XSmrZvKrlKLg6M86adU/vAZeoHaxGHoEW42mI3ku3thRPSb4nm5wmx7WDWmlpXF/cghVmEGk2lFOET87gUi2wQIPdyElRgPWVhFKZMaKa61rS6dO+psZRxWzeMOHNAlOtK4q+RDxFMaZT8M/sA81M4r/xF2ogd3ITWeuTsrpGkIVc/hHdBqqHDijpgbNUGpoxldswrJQkWWlsZrN/c2EEEIXDkrSCaDmCnZEgBuAYa7iZQuX6JeqtNZB2Mw4kKkIragHMqWrZWtJgJVjg2kR37qb9GXXLrydUtrxAhDVLHIW8Ppd8HouMDMvXxH3fBVaobWVqryZohc2wwVoi5u0xAwytsfQTHGeDCJmSja3Jzk6mefR4QxP3zG/qcSQgqt39/C1B09y6+MjVQnwtef2ETMlB4ezPHZimrPnVJMt0+Bjb3shz3/H57j78SFe93f/y4d+/8YK+7HFELNMdm7uZefmXn71Rc+o6TULYWKmwOv//n+5/cFjSCn45zc9lxsunW2IGZ4qcMttWsP+uzfOOl1M5myOlSKJz61CgDvnEOD9o/rePXMBOcOJ6QIzRRdDCs7oWdryK4Dt+vg6CyCs/tcLKSWWZeE4Dp7rIoVobMwp2XYpp6gJsFvU/1YKFU8jEy2oVAf+zJiuSCqFsBLIlq6oorvCEEIiWnsQiVa8ySFwCroanJhBtvevasCGMEzkGZfjH3sINXIENXQAb/yEDtbo2nxayliU8vEO3qvH/3QHosZ+mMDLWq5kwEf4zF/YQrHpxywFb8AqNfcvhToLUOXNxEDNNmrRKFcnrNXO6FaBBGKpCnDp7zXcMIGdWhixXCfCCnAu09Drm4H4tjPoe/3b6XrFby0uw7Dzs0tW6fkZ72HYxdwHTjgIVF7Pha6uECJsfvPKPoOEZZAoEaHpgjPvNYPtmmSeKDVwzcUFg/qc7z0+tcCR4dqSDOC2A6MVzXgBWhIWzzxHV0q/ee+JqvvYNdjJf7z1BcRMg+/dfYjr3nwL377ryarbrhT27T/J9W+9hdsfPEY6YfHJd7yIX3x6pU/1P3z9UfK2x0U7Orn23LLqb0kLvKMrRWtiluxWqwB7vuJk6XrvqiJ9KDheqKve2ZWqi8hmivp4SWt5kZ6GaYbjTGAQXy+EEAgzhky2ItMdGO39mD3bMDoGwiqPbO3C6NyETHUgW7qQnYNrkm72VIWw4hg925Al9wFVyGhtcG5qVfWfQkqMbecjd16sCyR2Hv/QfXiP/Bh/amTpHWwgKKV05Tc7AdLE2HlxTRM+7fahJ85ikbjk5cJfAyJaca+tAwJc/em7xGtKErJ63CMiAlwnVtuYOpwNLpWYVIcEIlzebLgCHBDgtasAA5hdfcjFtL/oVCHQ4SBVl6z8JQjwQg+hKl8wo/S7uSS0vUTIpvLzzdM3lxq2jk/nqx4m0P4+eipDzq7edHHxlg5a4yYTOYcHT1Qnys+9aBDQBHihB+vV52/la++5id2DHZwcz/Crf/NVfvmvv8xtDxxd8YfxV37yOC/+sy9wfHSGHQPtfPXdr+C6S3ZUbPPwsUn+5+dHAXjbi8+rGOQeLMkfzhucneTkHY9CSXtdToBPZYq4viJpSbrmVIaVUjwxmg0T3hbSVVeD78+6P5ST8EZhljlBuI6DY9tN/xyEkIhYUgcapNo33PLn6QAhhG5O692uyafy8SeH8MaO6hjqVYTsGsQ4/9nIzWfrMTE/g//EnXhP3KUdJFaRlK8U1NAB1KgeR+Sui6r3hlR7XSlpFTN22up/V1XeuRgaPAdRZ9U8muqvdwQa4KVmqAtULKtuWmpwWb4EYu0qwLUi6GwWLR3VN/Cqp70tOAcNBqcqu5JSgKeJUDnakxanMkWmCvOreEGE7njOIe94JK3Kic5AW4JNbXFOThe5/+QUT9s+XwZhGpKrdnfzrYdP8YP9I1y4pWPeNtee208yZnB0LMcDRya5oIpUAuCCXX18++9ezQc+/zP+7Wv38IN7DvODew4z2N3C5WcPsndHD2du7Wawu4VN3S10t9WWeqWUwvV8vZxfpnVWSvFfP3yEP/zn7+L7ihdcuZsP/p8baE1VPmAcz+ed/3U/SsELL9lccf5KKe46PAFQEWscVH+TllHh13t8Sk82Nlc597GszUTeQQB76pA+gG6aU+gkwEblD+Uo9+J0XRevlA5l1mCRFmHjQVgJjN7tqOwE/swo2Hm8kcOIZJtOz6vB77kp5yENnTDXsxX/5BOo4UOoqWG8qWGdBtg5iGzvBSuhNc0bJM5aKR//6MM6MQ+QW85Bti+dJhq+Ph8kra5c9RfWRosbHnONyW95zkLpFyt6vIgAr3eoeivANdwwYQW4UQmEJsDKLlbkvzcDfj5L/rH7cEdPEdu6C6tnIIw8bsQTUWV1RXTBhJ+FNMALXM/Frm41CQRAe1Lve6bo4vp+RVJc0jLoSlmM5xxOTBequhFcvLmDk9OnuOdYdQIMcP3ZfXzr4VN899FhfveZu+YFNKTiJtefP8BX9x3niz87siABBkgnLP7sV67ml687j3/76j184UePcmIsw//cvp//ub3SjiwRM2hPJ0jGTaQQ+CWi63kKz/dxfYXjemQLTjgx6GpNcObWbs7Z1s3RkWm+u+8QoJvx3vc711UQ5AD/+u39PHRsirakxVt+8dyKv+07MskTIxnipuSq3bMNWgs1wAW+v0ETYgDXVxwY09KHLR1JUjV4+AZQSjFTkri0xptnkRiSYCnDCrBj23hSYlrWmtkVRVgZCCEQLV26QXFqBFWYQeWn8fLTiHh6NkxjFUinMGMYW89F9W7DHzqAmjgJxRxq6Am8oSdmN5QGItWuNc09W9dl2p/KTeMdvh9y+nkgN5+N6Ks9bEN5rg7MgIXT7ZqENakA19k8tlLwPK8ihnml1xsiAryOEdoYQc0a4FqWqJarARaJpCaISuHnshit1S266oVybIb/42+QcT2AZn/+Q2Jbd5M8+2LSl15TUzLVXAQSCLlEBXhhDfAc4l0lBS7AQhKIhKl1wAXXZ7rgzovX3dyWZDzncGwqX50Ab2nn64+c4pFTM0zk7KpuEJdu62SgLcHQdIFb949y47nzKxsvu3IbX913nK/fc4I/fvF5pOKLf/13D3by3t9+Dv/3167hnseHuPvxIR45PMoTxyc4OZ5hdCpPwfYo2PVJYcZnCtzx8HHueFj7b1qm5PdeehlvvelpVRvSbn9smI9893EA/u8rLqBvDnH9zM+PAPCCvZsqyG61Bri84zGW0ysfm9srm/yOTuSwPZ+EKav6Mi+GTNHF8XwEkI43vzvcMAxkIoHrOGEl2C4WtfbcNMOly7Wu4ERoDoRhYXQNouwC/swoqpgNfwBdEDFjCCuhPeKlqQsRQdiJNJo3CUu0YOy4ELX1PNTUKdT4SR3D7RRnHUYy46jMOAw9jmjvR3T06wCOeGpV7d3mQvmermIPHQC0v7XccSGyo75odp3qp8BKrLj8oV4ng6Ycc504QJST30Yxr4q8CCICvJ5RIUxvngZYWCUCYTdIgIVEJtP4uQx+PtM0Ajz5jc9hdvfR9Uv/HzKewD5+kMxdPyS770f4uRlar3l+AxXgSX3O1SzQKG+CmztIlx9HMVf0UO0swgpwlS9fe9KiMFNkIufMJ8DtCR4Ymub4VKEqwd/UluDM3jT7R7J8d/8Ir7ho87z9SyF4/t4B/t9PDvG1B09WJcCX7+5ma3eKo2M5vn3/SV5y+dK+l6Arwlefv5Wrz6/cvui4DI1nmc4WyZds3gRgGBJDCkxDhj/phEXcMvGV4sToDI8dHeeRI6NkCw6/+bwLOXNL9cr27Y8N83sfvQtfwYsu2xJqmQM8dmqGfUcmkQJeccmWir9VqwAHzYbdKYtUmdyk4Hgcn5ptjDMWCbqYC9fzmSil53WkYnW9th4IIXQTru/jlSQRSqmKh4Y0jJAIB36aETYuRCyhnTxcWzfGFTKz6Xt2XsdPV32h1naLdAcy0RzHAmGY86OWfRfsAiozgT9+DDITqMkh1ORQ8CpE/07tKLFI1VopHzU1jMpM6H0aMWT3ZkQd5648V18Tp6j3kZvGHzs2GxLV0Y/ctnf2+VfrfpVfZqW58MpZM7AWGuswAGONJ9BV33sD1yMoDtSCiACvZ6iypqelbsx6muBKS1Sq0HgTm0y34ucyZH72fTqe96qlk+pqgDczidndH1aAY5t30pZuI3PHd8nvvx+ZbiN9ydU170/5Pv70GLCIBjhwiJhXAS7fkZp1RVvkeEGUsePN36orZXFqpshYzmaXqoyHHWiNYwhBzvEYzzt0V6nw/sLZ/ewfeZLbD45z5fZOtlXxrn3eeQN87KeHuP/4FLcdGOXqMjkA6AHupVds5R+/8Rj/9p3HefZ5/bRXOVatiFsm2/vrn/x0tyU5f9fSZvtf/NkR3vWF+3E9xbPP6+ddN11Y8Xfb9fng93Vl+Dln9bFpTmX4RInQVjTAzeiBcaC1cttjU5pIdCQtulK138uerxieKaCUtj1rRvPbUpBSImMxTKXwPE8T4dKky/cqGyXjidr8iyOsbwgzhtHWC229OhzJc1BOydbOczT5811NjJXS8ctBxbhjAJlqTpGi4pyE0IWDpIVItiJ7t6FyU9pbenoUijkd/HHqSbypYWT/LkTnpoqxVimFmhzCP/Yo2LmK/XtDTyC6BhHdWxGt8635lFKQm8KfGtZxxtkpqo7QZhy57TxEx0BD3wWVnymlJpq6qr2CKK/Ertb3NhgzDKN5qwaNoBoBjiQQT2WE8oelb0xh1l7VDaKBveHDKN9rSE+WvvSZTH3zc+Tuvg37yAG6XvFbWH2DS79wASjlY7S04c1M6MFcSkBgdnTT+oxfYPIbnyN3309JXXRVzcs03pGH9SAcTyE75ldElV2YHXTnDmzlMZdlA+9irYaxkAD78yq5nckYhhAUXZ/pohs6QwCYUrK5PcGRyTyHxnNVCfCZvWnO39TGAyen+fidR3n79XvmBWf0tsR58YWDfOneE/zV1x/hAy+/sMITF+Cmp2/nv356mCOjWd788X38629dOW8/aw2lFO/72iP85w8OAPALF27ib15zCbE5jWUf+uETPDI0Q2vc5PXPqNTzjWZt7is5Ypy3afazPVZqgBtsqyTAM6UGxYHW2i10PF9xajqPU2ru625ZXbIphMA0TUzTDJf9HHu2sTWq/p6eENLQz4QFKplKKXCK+LnJEiE9hTBjiFj9Mel1n1uqHSPVDoNnAeBPnsI/dB8UMviH74fDD0CqTUs1lALPhqAQY8YQnQNgxiA7hZoeQY2fQI2f0GNwsnW2gdtzIT9dOU6DJuRWXKcUmjFNuDs3NayZ1kWUUQBkS+eKf7/XwgItxBpPlL2S1WOQAgc6lW4lEY2Q6xiqjAAviXhpcHOLS2aUy65NkEiDa+MPH2no3FqufA5dL/8tZLoVd/QkI//vvRQPPlb3ftxx7TEphCS+6xwKj95H/sG7wtm+8n2M1g46nvcq7KMHKDzxYE37Vb6P88hPALDOvLxqo56a0QMbqfb5HdZlzXHlg948LXAZDCnCQAzb8+f9rSetjzE8M3+SsrNLV3SfHM9WnQkLIfiVy7bQGjc5lSny3f3VvTnfeO0ZXLmji6Lr8yf/8yCn5vgLd7bE+afXXUEyZnDH46P80SfvDuUL6wGu5/Pnn7svJL9vuPFM/v5XLp1Hfr9833G++sBJBPBnzz+HgTmE9nv7R/AVnN3XwvZStXyq4DBddJFCy0oC+EqRLVnMtS6hiw4wl/wOtCXXdCIhhKio/pqWtawY5QgbF0IIRCyhAzUSLYDCmzix5HNhJSA7+jH2PkvbqsXTgK7akhnXPryFrJZrbDoDY++zMbadjzF4FsaeKzDOfgaiZ5smtcqHXIkUT4/o1wZV2Y4B5PYLMM5/DuZFN2Kedy3m2c/AOONyZPeWZTUM+pmxkiTDQqQ6mnZdFsJaaHGDMWItLe5UaTUL9NgVi8e1200DAUBBX0QtiAjwekY9BNiwZhu5irlFNxVCYA6eAYB3/PGGTy953qX0veGdxLadgSrmGf30P1I8eqDm12d++l3GPvfP5O6/A4DU+VfQ+owbmfifT5C953Y9kAcDgWFg9W+pWWrhHX1EJ8DFkphnXFx1G1Wa2Ysq0a7hw2KB5riFSGqs5L5gu/OlKH0lT9nRrD3PKm17Z4qzelt4+rbqWliAVMzk5RfqKvu3Hh3m1Mx8j1BTCv7vC85lT18Lk3mHP//qQxTdygff2Zvb+ftfuRTTEHzn/pP82od/wpOnZhY87mrhiaEZfvXDP+FLdx5FCvjrV13EG5971rzGuH1HJvjHH+gu9Nc/YydXzknIm8o7/PTQOAA3lkUlHy0lxQ20JsJqPUDO9rR9mazNvmwu+e1vS2I1wfZsOQikEACxWAzTXF4QR4SNDyGEbvYyLPBc/IkTs77yq3keZgw5sBtz77Mw9j4bueuS0s+lyDMu18R38Kx5RQqR7sDYfj7GhTdgnHctcveluoFt+wXInRdjnHsNxkU3Yuy+FNmztekVbuUUdWMfINv7VpyUljdvrebqTfC+1uLeCOCX6ZCD3oVGx7AgSbMWRBKI9YzAA7gGAiyEgFgK8tOoYm5JrZKxeQ/uk/fhnXgcdckNDT8sjVQLPb/yJsY//28U9j/A+H/9G32/9adLNsb5jk3hiQdRxQL5h/ahHJvUxc+g7TkvQXkek1/9JM6pY6QvuRqZaqHw+IO4k2MYrR1LnpNyijgP/hgoVX+r+GcqpRYlwAv5Ay81W46ZkoLjYbseUPklbE+YxAyJ7fmM52160rPdxDFDcs3O7iXf2yVb2vnZ4VYePjXD5+89wRuv3jnvs0vFDP7qF8/jt2+5m/3DGf7uO/v50+eeXbHds87r56O/83T+4GN38dCxKV76d7fymmt28hvP3k1vW21NInNlHr6vGMsUOTic4fh4jqHJArmiS9HxmczZFB2PZMygPRWjty1BW9JESsGJiTx3PTHGPYfGUQrScZP3vPoirjt/07xjPnRiij//6kP4Cm48p59XV2nk++IDJ3F9xc6uFHt6Zl01AgK8dY77Q7ZUAU/HlpYa+UoxPKPJryEE/e1rW/kFKqQPhmEgI4/gCCUIaWB0DeKNHEEVc3gjBzE6NtUc/tD084mn6j62EAISLXU1xDUD/vSwPn4pNnzFUfZMWW0plT782lWA14L4Q0SA1zfqqQCjBxeVn16yAgwg+7aDGUMVsngnn8Ac3LPkaxY8rmnR+bLXM/LRv8EdOcn45/+Nnl9786L+wNKKEduyC6OtC+UUyd5zO8qxaXna9bRcdSOJM/Yy/sX/oLD/fijNDjte+Bqs3vmkaC6c+3+Iyk0j0h2Yey6pvlFhBtyiXn6r0tkbukPMufblA1M1x4a4YQBO1QqwEIK+lhjHpgoMz1QS4FohhOAVFw3y7u/s59HhDPefmObCzfMnGwNtCd75gnN56xfv57uPDrOjO8Vrr9hesc1lu7v5/B8+k7/+4oPc+vApPn7rk3zm9kNct3eAq8/p4+IdXWztTpEtujx2Ypp7D03w5PAMh4azHBrJMJVzMKQgZkosQ5IpOFRJYq4Lzzqvnz972fls6pxfzXng+BRv+/ID5GyPi7a085brz5x3/R8emmHf0UkE8PKLBsO/O57PyVLFfK7FWSB/SMcWHw6VUozMFLBdHynQld91QH7tEvkNPIMjRCiHsLSThDc5BJ6DN3YU2bEJmZofDR9Bwy9kZn1/25du2G3KMcv8f9eKADfitd8MhAR4lSfvEQFex6hLAwwljRWzXpGLQEgDc/fFuI/9DOe+H2IM7FqWVkrGE3S/8ncZ/vf3YB89wNS3Pk/H83+56rbBl0ymW/ELOTqe/yom/vfT5B++G3dqnOwd36fvDf+Xvt/5c5wTh0FIjNZ2rP4tVfdXDu/UIdwn7wMgdvlzF0xPUqV8e9HWU/19+wslxM1/H+UItKp2lUY4gL6WOMemCoznbBzPb4hA9bbEec6eXr792DBfvP8E5/S3ztPIAly8tYM/ePYZvP97j/Mftx+ivzXBDedUNgMOdqX459dfwY8fOcW/fPtx7js8wTfuPcE37j2h379Y3InG8xV52yOPvlelgM1dKbZ2p9jUmaIlYRK3JO2pGAnLIG97TGRtRqYLZAoOrqfY1JnkjIFWnn3eQFXiC/CzQ+P8xVcfouj6XLy1g5tfvHeeXCFTdPncPccAeNYZPaH2F+CJsVK8cdykPVH5mQYEeKngi5mCQ8HxEEBf69rKHgL7s3ILo1i89ga+CE8tiHgKo3eHdmgozOBPngTfRaRXvrFro0EphT9dej6kO1ctgW+tvHjX+vNfC+/jABuKAL/nPe/hT/7kT/iDP/gDPvjBDwL64r3rXe/iIx/5CBMTE1x55ZX80z/9E+edd174umKxyFvf+lY+85nPkM/nue666/jnf/5ntmxZmlCtKeqQQECpAgw1VYABrHOehnvoQVRmAveJu7HOvLzBE9Uwu/vpfNlvMv6ZfyJ71w+JbdlF6oIr559n6QuXOPN8Jr92P8KK0fWS32DiK58g+/MfYfZvRpgmRroNY8/5NR9fOUXsn39Tn8sZl2D0bltwW3+qtLy10Ox+gYS4YHaulFq0Ec5XmgTPTWRLx01SMYOc7TGatSuaserBL5zdx11HJhjLOfzvw0O89ILqDhwvumCQw2M5/vve49z8zUdxPJ/n751fRb/mnH6uPruPB45M8sOHT3HH/lEePjaFU2rm622Lc8nOLs4abGN7bws7etP0tCXwfYXt+jieT0vCpCMda3pV9NsPn+Jvv/MYnq+4ckcX73rhuSTmREY7ns+/33GYsZy2kXvhebNEXynFQ0Na43xuf+u8Ab9cArEQbNdjohSg0ZmOE7fWTmbge15Y9YWS5i1qeIuwBISUyM5N+NOmjlueHkF4DrKtd57F2FMZ/syYtseUBrJ1aVla0467RjKA8mea73kNNZ4tB35ZDPNqj2EbhgDfddddfOQjH+GCCy6o+P173/te3v/+9/Oxj32MM888k7/+67/mhhtu4LHHHqO1Vetg3/SmN/HVr36Vz372s3R3d/OWt7yFF77whezbtw+jzpL7qupkvHorwLripWokwMKKEzv/GuyffxPn4Z9g7rxg2Sk3yTMvoPWZL2DmR//L5P9+mtiWnZhd1UmmMC3c8WGc0SGsngGKhx/HbO9CCEHmzh+QvvSZWD21J/bMSh/asc5/5oLbKdeBzIQ+h7be6tsslBAH4WCxWCNcwfEoOt48Agy6CnxoPMdwptgwAY6bkldevJl//ckhvv/4KJds6WB7V3Vt3RuftRvH9/nK/Sd573f2c3Asy29dvWseURVCcMH2Ti7Y3snvP69E+jK2rt7WEQvcLCil+Ngdh/n4HYcBuO6sPt7+C2fNO2+lFJ+5+zgHRrMkTMnvPGNHxXU/Pl1gsuBgScGZPZVaPsfzQ9/m1AISCKUU41nt3JG0DFpqdIpoNoJO6SD4QgiBZVmR5jdCzRBCYLT34Rsm/vQIKjuJV8giW7sRiZZViVhez1DFHCqjveN149vqXY+1tECThhGG66wVAV4L28YNMe3LZDK85jWv4d///d/p7JzVayql+OAHP8if/umf8rKXvYy9e/fy8Y9/nFwuxy233ALA1NQUH/3oR3nf+97H9ddfz8UXX8ynPvUpHnjgAb773e/WfS7FQiFcdlxpzEogarshw+YCO1czUTd2nI+x/Tziz3hZ0yIeW699IbHte1B2kfH//ugsmSyDUgqjpZ3EGXvxZ6YY+c+/w2zvou93/pzkBVeSf2gfzvGDNR/TG3pyVvpw2cLSB0Db6KB0Y8VCDRmLSSCWaBoIqpMFt/p90teiz2264M5zaJh3rot8jns3tXH51g4UcMvdx8IBdC6kEPzhc/aEDWOfv/s4f/D5exnLLO4ZHTMN+juSNZHfguMxNF3goZPTPDk6X4Jzy11H+LWP38UrP3oHH/rhE+SWsF5zfcXff3d/SH5ffflW/vR5Z1etLn/rsWHuPDKBFPC6p22fN6kIqr97elvmSUUC+UPClJgLJLjlHY+iq2OOu1rWRmaglMJxnJD8SsMgFo9H5DdCQ5AtXcjOQf1s8Rz8ySG8oQN4k0NVx+unApTn4E2eBEAk25DJ1dNIl68orkUccVAI9H1/1Zvh/DWMYd4QBPiNb3wjL3jBC7j++usrfn/w4EGGhoa48cYbw9/F43GuvfZafvIT7QG7b98+HMep2GZwcJC9e/eG21RDsVhkenq64ieAY9urc5PUKYEglpwVbZbiH5eCEIL4FS/A6F06FrfW9yykpPOlv4lIpHBOHGL8v/4V36607ApIhIgnGP3EB1B2kc6X/DrCtGh9+g10vvjXSF349JqOpwpZind+AyhJH/q2L779EvIHHfG58ORjqa7ZRKn6WHS8qtvETYO2kg51JGPP+zvoGN9AQ7wQsQX4pQsHSVoGx6cK3HFoYsHthBD81tW7+OsXnUdL3OThkzP87mfv4fBY42mAAG/57/t4zgdv5fn/dBu/+rG7+KMv3s/3HxsOpRMAn77zCF9/cIhfPH8Tv/esM7jj4Dh/863HyBSrP2jHMkX+5H8e4H8fHEIK+MPn7OG3rt5VtTLy0MlpvvbQKQBecdFmzumvdD8Zz9kcncojgPP65zujBPKHxfS/03n9GbUmLMw1CpdwHCe0CjItC8uyIslDhGVBJlsx+nYiW3t0+AQKlZvCGzmM8pwlX386Qfk+3thxLX0zY6vW+BbAX+M44vLj+qtoh6aUCrXPS1WAg4bfZtq1rXsC/NnPfpa7776b97znPfP+NjSk88b7+ysbe/r7+8O/DQ0NEYvFKirHc7ephve85z20t7eHP1u3aoJoGEbdsonGUSI+NX4fhBBlMojlEZt5Z1LI4h64p+aB0WzvouuXXgeGSWH/Awz/818y/aP/nbddy5XX0fqsX6Tr5f8fRlsnqhTlnNh9bm3n5bkU7/w6FLOIth6sC65dfHulShVgEO3V5Q+E71FUlZ8slgYHs41wvtJNYtXQWwrFGMvNJ8BKKR4ZnuFrj2hiJwPNcRW0xE2eW/K6/fIDJ8NEs4Vw9e4e/vXVl7C1M8nwTJFHG/T/DUh53vG44Zx+/vu3ns63f/8avv7Gq3n9M3aGlVrH8/nve47z/L0DvPySLVy9u4e33XgW+45M8FApqW0uvnDPce48NIFlCN75gnN58YXV9c1TeYdP7jsKwDW7urlm13y93qPDGUD7LLdXiSnO1eAAEXyEc3XHq4VAmwdgWVbk8RuhaRBSIlu7MXp3YHRv1Z7Bvhv2SDwVoJTCnxzSrkDSwOhaXnhGo+cAa5feKIQIV5NWa4UbKsn2YmOaUgrHtvE9D9dt3grFuibAR48e5Q/+4A/41Kc+RSKxsFZy7oWrxcpjqW3e8Y53MDU1Ff4cPaoftFYstnoNJ4ukji34ksCvsJBp6qn4mQn8kaMUf/yFml+TOGMvvb/+FmS6FW9qDHds/qBqtLTRes1zMbv1JKaeZgzlFCne9gX8UwdBGsSvfCHCWMIGKjdZanAwES3VQyeUWyLAZvUq22JpcMHfywlgNXSlZmUQc7cRQnDBpjZmii63HxqrPGYVPOuMHja3J8g5Hp/ed3TRijHAlo4kH7rpIn7/2WfwC+fWrrEuR3CI9oSFIQS+r5jMO4xlKwn9IyenMaRg76C2avN8xQWb2xnsSHLX4QncKhOEX3vadp59Zi//9upLeeae6pMUz1d84q6jZIoem9sTvOyC+Y19ru/zRKnCfXZfdR/PWhwgAmXEci3eGkX55CeSPERYCQghtFNE12YAVCGD3+RnyHqFyoyhCroQYHQO1hy21EyUW6CtFYLYYd+rvnK5Eggm9oaxuAd7uTTDa+L5rWsCvG/fPoaHh7n00kvDzPtbb72Vf/zHf8Q0zbDyO7eSOzw8HP5tYGAA27aZmJhYcJtqiMfjtLW1VfysPuonwJQIsGry4CW7N2Nd+GxQiuJPvlTz62JbdtH/e39N1yt+i5bLn1V1m0Zm235umsIPbtFRzqZF/JqXIzuWXrbyJwP5wyKdz17JV3UhHXENxuEBAZ4biRwgYRkh6ZrIza+qp2Mm1+/pZf9IhkeH9eC8ELE1pOC1l23FkoIHh2b4+sOnFjyvAB2pGC+7aPOS2yml8JXC8/WPW/oJzqUrHeP7+4d5/af38du37OPmbz7CD/ePUCz5II9lbTpSVkjyg4r45vYkJ6YK5O351YaEZfB/X3Auu8pCLMrh+YpP/Pwoj41kiBmS37xyW1Vt8MHxHLbn0xIz2Fyl2VApFWqRF3OAkDV83iuJ8iaRqPIbYSUhrHhYGPCnTp32emA/N61dH0BHR69RQIhaBwS4XIO7GmNdefzxUhN7b07V129SlXpdE+DrrruOBx54gHvvvTf8ueyyy3jNa17Dvffey65duxgYGOA73/lO+Brbtrn11lu56qqrALj00kuxLKtim5MnT/Lggw+G26xbBA/eel4SVIDzzSPAqpjTFYJkK7HLn48/NYo39GTNr5fxBMlzLyW2ZWdTzsefGqXw3U9qL994mvi1r1pS9xtgKf0vlFWAF6gmixo+l6UqwADdpSrwaLa6DrivJc7VO7u5/dA4w5kico4euHyQ2tqR5Jcv1bZ+33x0mP++78SC5LseCCGQQmBI/WOWfoL39/Rd3bzxmbv58Csv5r0vvYDeljj/8IPH+dHjWmaibeFEKDUI0JWOMVNwlqxWz4Xj+Xz8riPsOzqJFPDrV2ylv7U6ub3/pNbtn9XbUvXBMlN08ZSOQE4tIm8ItXFrRIDXyh80wlMTsqU7jE/2xo6etiTYL2S0HzLa71emO9bsXNbDd7xcB7wascjl8ofFpB+e54XbGk2WaaxrG7TW1lb27t1b8bt0Ok13d3f4+ze96U3cfPPN7Nmzhz179nDzzTeTSqV49atfDUB7ezuve93reMtb3kJ3dzddXV289a1v5fzzz5/XVLfusAwJhCpkmpLq4mcmKP7o88SveomusKbbATVLElcZKp+heNsXtOa3vZf41b9Uc6KRsguQ16RoIfszQEskWKQCHO5w4eScWECAqyTCBehNxzg6mV80FGNPTwsTeYdvPjbMKy/cTNyU+EohywarTNGlJW5yxbZOhmeKfPPRYX7wxCgPDU1z00WbObtK89dSKDjap3gyZzOWtRnNFBnN2IznbA6P5bhiRye//vQdXLWrG8EsSXz7L5zNn37lQb732DA3nNNPVzqGIWFkptJxwjIEnlKLVl7nIlN0+chPD/HkWE47Ply5nQsGq0duH5rIMZF3sAwxrzEuwGRe38PtycUbymYlEGtfAY4QYaUhpNTJcaNHwbXxxo5i9Gw/rSZgfn4af0KvHItkG3Kx58EKo7yQsdYrPFLKkHCupNhKKRVWdReTPwTuN8F2hmmG59cMfrOuCXAt+OM//mPy+TxveMMbwiCMb3/726EHMMAHPvABTNPkpptuCoMwPvaxj61iM1ujWKrdqgqSrfp1rq2dIOpc0lF2Hm/0OObgGQDIlk6MgZ0UfvgZYhddhzf0JKqQQ6ZnicdqxScqp0jhtv/WXr8tnSSufRUiXj05rOrrg8aOdMeilm9ho98CWrBa3muQEuYskAgHOhQjHTPI2h4jGZvB9uo698u2dDCVd/jSgyd41UVbKtwQnhzPcv+Jaa7c1smmtgQvPG+And0pPr3vGMMZmw/fdpArt3dy00Wb5yWnLYSpvMOffeVBHjwxTVvSImlp14r2pEVXOsY5m1o5q78VpXSFN0DwPnf3pLn9Sb2suLkjSVvC4oETU7zs4s3ETInt+gzPFOlMxjCNWUK/GKYLDv/4oycZmimStCSvu3L7gsReKcXdx3WD3d7+ttCVYy4mSgS4M7m45k+GFeBFN1sRlPtNr/XDMcJTB8KMYfRsxRs9Aq6NP3kS2Tm44e9B5Xv4mXFUZhzQBSPZMbCm72utpFXVUE6AVwpKqQo3h8V8hx3HgdJzxSw53zQztGPDEeAf/vCHFf9fCME73/lO3vnOdy74mkQiwYc+9CE+9KEPLevY119/fa2GDM1BIxVgaUCqDXJTqNxUXZom5fvY93wPkUhDiQArpTDPvhJv5Cj+1AgqM0nskhuQnQMo19ZVUqVmz3WFoJwixR/9F2ryFMRTxK95eV3kF8Af0zG5i1ncKKWgVN0WxtIRmAuRW1MKBHrq4voKy6h+ffpb4jxZCsVYiABLIbh6Zzc/PDDKSKZIb8ssee9MWGzvSvG9J0Z4yXmbaImbnDfQxp/feBb/+/Apbn1ilJ8dnuDIRI7XXbmdgRqCN1oTJn/1or0YQlu2WUZt1jxCCMazNo+emqEzqa9dZyrGs8/s5QPfe5yv3H+CF+zdxLceHuL+41O88drd+nVL7Hc8Z/NPtx3k1EyRjqTFG6/euWiAyKMjGSbyDjFDsHeg+uqA6/tMlxwzliTAcu0kEOupOhThqQVhxjC6NuONHkUVMnjDBxHxNCLZgoilNtT9qJwCfm4alZuCktOQSHcg2/rW/H2UT3DX+lyCKr9aZHVzOfA8D6csxTIWiy24suX7foX7TXAuIUlXatlV6g1HgNcS//gP/4BhGLiOg2mtfKeoQJRqv/U9eEWqHZWbQmUnoXN+d/yCr5MSc8f5FH/6ZYy+7RibdunZlhCofAZjy1nELnw2AO7B+3GPPw5OEdnWjbX3mhVrIFBOkeKPv4A/fhJiCRLPvAnZ0rn0C8v3kZmA7AQIiehZxPPYc9HXW1RNgYMSEQn8lhdA4ARhez62W13eANBbIsAzRZec7S3oRpC0DG44s4+5PLozFaMzFSNru3z/wCgvKrk6JC2Dl184yEWDbfy/O49wcrrIe7//OK+4aDNP31Hd/SKAFIKOJUgh6Or2A8enGMkUObu/lZmiy3cfHebYRJ7ffebucLtnndnHVN7hsz8/yr/d9iRJy+CmS7fwnLP6Fh1klVI8cirDJ+46Qsb26Exa/P4zd1VMAOZiKu/wsyO64fWSzR0LVr2n8pr8Jky5pL1ZWAFegxLweno4RnjqQcSSyM4BbRPmOajcJCo3CYaF0TWIsBpLslwt+IUsfmas0hffjJWS7+bHoq8F1tMKT/k5NJsA+74fkl8hBNYi5Bdmdb5SyoomuWZWqSMCXAd+/dd/ne9///vh7GPFzegbqACDntmq0SOaANcJo3871rnPwN73TazzroZYEn/oILKtG9nSgZ+ZxL7nu/jDRzB3ng9CoPIzFL7/aRLPfX3Tr4dyHYq3fxF/7DhYcRLPfGVNbg9z4Z/STXtiiUFblRwgFrJACxBUdxdbvoqZmgA7nsdCX7WYKelKWYznHE5OF9i9gPMBUJFUdnQyT8Z2OadPywDO6mnhRwfHGMvadKdnK9dn9Lbw9uv28Im7jvLocIZP7zvG0ck8v3TBYIV8oREYUpB3PD75syNM5G0MITh3Uxtvuf5MLt3WGQ6gcVNy06VbuXKn1gt3pmK0loJAhND7ODSe48hEnkzRpej6ZG2XY5N5xkoOGVs6EvzW03eE9nHV4PmKHzw5iusrBtsSVYMvAkyUwi06U0sT/bW0QYv0vxHWGjLZhoi3oOyc7i0pZMBz8EaPINv7kanqOvy1hFIKf2Y0lDoAmvCm2nQVex2QzQDroQEugBACKaWuvvp+U8edwL9XSrmklWyFRniOzCGsUi+gA/Z9H7u4eMppgIgA14E777oLz/eJmyae64aV4BX7Mi2DAANaBtHALM468zJA4R7br8lv9yaMreeg7ALFn/4PeA6J57wa2amrjcpzKHz3k7gH7sU64+K6jrUYlFLYd/4v/shRMGPEn3kTsnNh67oF91PMoiZ1w4Ps37X4xqH8YXFiFOiQFvtsQiu0RRrhAAbbEoznHIZmCmzvSs5LG/OVYiLv0Bozw5CNdMzg+0+MIIAzetJkbY+C61eN821LWLzh6p18+7FhvvbQKX50YIxjk3levHcTu7obX8qUQnDlji4u295JfI7Ottp9t72rcoXg2GSe7z8+wt3Hpqr6AQPEDMEV2zp52QWD82KM5+JnRyYYzdrEDcm1u7oXfF++UqHzRiDVWAxraYO2nh6OEZ66EFLqButEi9bRTpxAFXP4k0Mo18Fo61nrUwyhgy1OovLaPlKkOpCtXUt7xK8BKqzA1gkpDwmw58EyNbYByuUMtXCmxRwilqpSK6Vqrg5HBLgBhFYcrruyDWCBT61fp+VHIg0I/TqnoCOS64R15uWYOy9A5Wf0wGfFKH7/0wgpiV/7K4h4EqV8hJAIw0KsQEOh++gdeMf365CLq38Jo6t2OUc5/JMHAO38IJKLOyIoN6gAL02MYHFxSqxECpciwB1Ji6QlyTs+Ezln3hJ/3vF45NQM2zqTbOvQJLIrFeOSLR387MhEqCHe1JagfQHpghSC557dz0Brgo/fdYQnx3J84NYDWIagJx3n7L4WLtzczu46CbFpyKqDyGKyhsdHs3x//wgPDs2m0PWkY2zvStGVtIibklTMoDMZ46y+liWJL+hmwIdLfsnX7u5eNNlteKaI42lddi0V4LVqUSkfyKMKcIT1AiENZNcW/JkxHSKRGcM3rXVTCVaFmZD8ys5NyORaePjXhtDOqyyJba0hDQNct6lV4Ao5Qx37qyb9Km+EW25RIiLADUAIgVmqAnuui4zVRpbqRkmDqvz6fBiFkBBLaN2TnW+IAEPJFL3kluDsvwvlFIk/42Wa/Pp+WJXyTj6JPzmM1dLR0HGqwT3xOM6DPwYgdvH1GL2L6HYXgSrmUEHz26Y9NRw4sEBbfrUgIG6eUriej7mADlgIQXcqxrGpAmM5ex4BTsdMsrbHgdFsSIAB2uImHUmLp2/rZDzvsLt7YflEgIs2t7O14yy+9egwPzs8geMpTk4XODld4AdPjLK5PcG1u7u5bGtnTcSzVuQdj7uOTHDbk+OcmC7o9w1csrWDZ5/Rw46uxvXjJ6YL3HpgFIALN7VVXKO5UEpxdFLrAbe0J2uqugTNb3KZkpF6EVRMIv1vhPUGIQRGWw8eCpUZ1xphaSAT1RMXVwvKm41xFi3d65r8li/zr6d4cyklhmHgeR6u4xCLL9xzUQsWkzMsBFG26rZUn8hyEBHgOtDZWdl4tdLLksIwdfWpESPyWBLsPMrON8W5wp8a0fqpUvNZSH6HDuI8/nOMrecgezY3pSLujZ/EvuOrAJi7LsTcdWHj5z10AFCI1p7w3BfDrAXa8ic1stQI53g+RXdhAgw6GOLYVIGJnFPVFuzaXd184YET3Htiij09adIxk7GcjesrWuMmnSVtbNZ2mSm6jOccOpMW/a3xefvqTsd49aVbeMVFg0zmHY5NFXjw5DT3HJvk+FSBW+4+zpceGOKSLe1ctrWD3T3pJYmi7foo9HnLkq53Mu8wkXM4MJbltifHKJQq4TFDcOX2Lp51Rg/9rcsbXE9MF/jO/mE8Bds7kly6pWPR7UcydigVWcxJohxB89tqL1GWpyStl4djhAjlkK09+J6Lyk/jj59AdG9ZuzQ1O483fkKvfJYa3dYzyuN915sla7nf7nKrwKrGwItyBOPdQuNe0Ai33MCOiADXgf/63Od0GpfnodAVGmulqr8QJpE1ksQjYklNnov5pTZdEkr5ICQy3V5xQ7pHHsY9/BD4HubOC5YOjqgB3tgJirf9N3gucmAn1sWNh5Wo/Axq9CgAcnDp6q9Sfu0hGDUibmoCbLse6fjCX7e2uIllCBxPMZ6z6UlXEsOEZXDDnj5uOzTG4YkcjqeYLDhcs7Nbe+n6iifGshyeyHFkMk9L3EQAbQmT555VXTdtGZLelji9LXEu3tzOL12wiZ8cmuC2J8cYzdrcfnCc2w+O05YwObuvlU1tcdoTFglLR/LOFHSj2uOjWU6WqrqLob81zjW7urliW+eCbhe1QinFw6dmuOPIBAqto372Gb2LklSlFIcncoCu/tbaBBjIk1ezAFwuf1hvD8cIEQIIIZAdA/i+hypm8caPY3RvRcRWxx1CKYUqzOBnJ2edHkr2bet90lj+/V5v51peBXYch9gSTWuLIZjI1/M+hRDEE4mq25c7QATa4kblIw0R4FwuRyq1NrO8tYRXutC2bYcyiJV8OAlZ+ni8BlLXSrIHZS+fAAshMXfspfjDz0I8hezowzu+H5WZhHgK6/xnYnRvXvZxvKGDFH/yZfAcZNcm4k97kfY1bgBKKbwjDwAK0d4f5tsvCqek/xUSZHPmhnHTKDkbLK7jFkIw0Jrg6GSek9PFeQQYNIF89u4eJvK6Ye7qnV0MtCYouB4PDc1wbCpPwjT4xXMH6EnHyBRdvrV/mLuPT3LJ5o4lzzUVM7n+zF6es6eH/cMZfn50kvtOTDFdcLmzZC1WD1piBp2pGD3pGFds6+S8Ta1NqaJ6vuInh8d5bETHfe/uTnPNjq6qDYDlODVTpOD6WFIs6LlcDWshgYjkDxE2CoQQyK5BvLFjYOfxRg8jkm2IRAsilkQsYCe5XCg7jzc1rPtcgnNJtCI7+ht+bqwm1nuDq2lZYZXV9/2GuE5Fk1+dr6827rkl84FyiYRt29pPuIHza+jO7Ovr46UvfSmvfe1rueGGG54yDRrPfd7zmJ6aItGidU4r/r6DgcP36pYWiHipAtwEAgxg9GwhduULcQ/ej3foQUS6HWPrORhbzqw5ingxeKcOU7z9i+B7yP6dxK968bKqsGrsKGQmtC5t23m1vaY0kAqr+syzEQQ6WttdOrpxoDXO0ck8k3mHvOORrOJP25WK0ZWKVeh9D4xlOTKZY6A1EXrfKqVoS1hsbksylXfq8pqUQnB2fytn97fyKn8z+4ezHJnIMTRTJFN0KZTeS8I02NyRYEdXij09LcRNiacUvlLEDLmg9/FykHc8vvfECEOlaOUrtnZw/kDb0l3FSnEk0P521F79hbWRQETyhwgbCUJIjK7N+BMntetOfhoVxM7Hkoh0J3KJBuRaoHwPZedRuWlUYSY4OLKlC5FqX5dODwshnFiv0++3EEJLIUqkU0pZ91i0mJtDvQjIr2maIIQmwlIihcDzPO1UUuf5NUSAP/GJT/CZz3yGl770pbS1tfHKV76S1772tVx++eWN7G5DQbGKHdnSIHSc9dwFo3mrIqwAL700XSvMrWdjbN4DThERT4WEbrm6X2/0WEh+jcEziD39xcuawSs7j3/sEQDk4JmIGpsAAwJME5fvLEPOJsJ5Cstc+DolLIPOpMVEXnsC76qhqW2q4LDvmNYFP327rnL7vgod9KYKDu3Jxq36TCk5d6CVcweW//BaLk7NFPnBgREytoclBc8+o2fRhrdyHJ8qUHR9Ykbt2t8Aq/2giuQPETYihDQwureg7AJ+blI/e9yiJqx2HuV0IVt7Ss8MP7ScxDArxnvlFHXzsueA5+r/Kl8/A1Wl5lOk2vU+V6jKvFIot9BcrxVgIGz2Dyq5Zp22aGHz2zIn8kFDnmmaGKY5q/0tpdA2mtLZ0F3zspe9jJe97GXMzMzwhS98gc985jNcddVV7Ny5k9e+9rX8xV/8RUMnE6ESQpTSyDwHfBeonQCHpK9JFeBwv9KAOU0Oy7mx/Ykhij/+gpY9DOwktgzZA5TIw6H79WCZ7kD07aj9tY6uKgbOF7VgqXcuhCBmSoquT9HzsJZwVtjUlmAi73Bqpsj2ztSSlcqD4zmSlgzJr+er8DWPDs9wfLrAOYsEQqx3uL7PcMbmwFg2lDy0xU1uOLO3Jg9fgKLrcaSk/d3Zla47ACQYXI1VIsDl8oenyupahNMHIpbAiJU84l0HPzuByk6gMuN4hSwiltBhGuX2nlZC64Z9P6wcLwjDRMRbdE/KOk+iWwghgVvnEichBKZl4ToOruPURWSDBjqo3f2hGpRSuK6LYRgYJbcMVSaB8H2/4ZWyZU2bWltb+Y3f+A1+4zd+g4cffpjXvOY1vOtd74oIcDNRIsDKcxDUYWcWDAy+nkGvxNJQtRuu3B5tKejK75fAtZG9W4lf9ZJlz+TV0BOomVEQEmPHhdoSrpbXKQUhAW7uoBozDYqujkRmCW7dlbJImJKC63NqpsBg++KfuVLaBSKowgfk7p7jk9x9YorLtnSwo3Pj6PWztsvhiTwnZwqMZm1mipUNoHt60jxtW9eCEcfV8ORYDl9p4tzbUr+sxgs1wHW/tCE0qpmLEGG9QZgWRnsfvhXHnzylK8JuKaVLCN1vUfKrV+Va3ngKzLh+HhiWLopIo/TvjT8pXO/yh3IYhhFWgZ0SCfbLGtGElFVTcb2y5LdluUgohfJ9ZFkj3txjNbr/ZbGNQqHAV77yFW655Ra++c1v0tfXx1vf+tbl7DLCHDRqhRYMHHiOrgIvEJDQTKhChsKPPo911hWY2xfX3bpHHsG+6+ta89u1SfsLL5Ok+8MH8U/sB0BuPVcHeNQKtwgoPSA3ebIQ6ICXaoQD/cXe3JHkwGiW41MFNrUtrkfuSce57+Q0pzJFEqaBEHDH4QmGZgpcvqWDs3rX1pezVswUXW4/NMaxqfmSnaRlMNga55z+VgZa65ucjGSKYerb7p7GIlBXUwMcyR8inI6QqXZEPK31wU5BxxGXIomV52jJg1PUz4N0R82ytY2K9d4AV46gCuzYtia+XuVzTHketu8Ti8fD8dX3vFn3hyakyS3WDCxKjhWNoKEz+/a3v82nP/1pvvzlL2MYBi9/+cv51re+xbXXXtvQSWwkeF6dqWzLRWCFFiSU1YN4EnIOqphHrIIhuPvkfaipEew7/xeVmcQ896r5MYW+h/PArbj7fw6AsXkPsStesLyGN+XjH38MdepJAMSmPcje7fXto1T9xYo3fUkqXvpyOjU0wgH0t8Q5NJ6j4PpMF13aEwsT8q0dSfYOtPKjJ8dwfYXnK1riJs85o5eB1viKNKI1E0opDk3k+PHBcWxPPxT6W+JsaU/Q35qgI6FT8hr5TPKOx+MjWUBfp5ZFbOgWQtHxQhs0YxUeVuXG7ut5aTRChHohDBORagfa5/zeKv3+qYN6mpLXAwzDgFgMr5QQJw0jJJ2ObaOUolgoIKWsSGhrhowruEae64bRzEF1GcBcRqGgIQL8kpe8hBe84AV8/OMf5wUveAGWtXE6L5cL13FWNv54DoSVQNFYM5uIpVC5abBzzT+xKjDPuQplF3Af34fz8O04B+7F6N+ObOsGM4bKz2jf4IImJeZZV2Cd/8yaZQrVoJSP/8TPUdMjAIiBM2pLfJu7nwb0v7XCNEp6JcD1dQTvYjCkoCtlMZKxGckUFyXAAJdt6WR7RwrH9/F8TfaqwfZ88ra3YFzyamOm6PLTw+OhO0NvOsazdvcs+X5rge35PDQ0jacUbXGT7Z31V5SUUkzk9H2Rjpt1a4cbQfkRNsrDMUKECPVhoxFg0CS4WqVVxGLYti7Qlbs+GIaBWUUaUS+EEMTicexiEb9Etisq58vYf0MEeGhoiLa29RsxuJIIZjqGYSANoyFrkHoQ6lHdIkr59ZHFeMkJoglhGLVACEHsouuQ7b3Y9/0Ailm8Iw8zt2YuEmmsS27E3Fw/UZ0L/9ijmvxKA7njQmTnpsZ2VKf+N6zT1fDZi7JEOMfza6rK9rcmGMnYYTPcUq+ZG59cDY8OZ7jz6ATbOpJcsKmtbjlBs2B7Pg+fmuGeE1N4vkIKuGBTO5cMtjfFa9f1FQ8NTZN3fOKG5Oz+loYryEXXRwAdNTbcLRtl57maE+0IESKsPk6Hb7c0DOKJRJhsF8gVmtnAG5Dg0D2jrAluOWNkQwS4ra2NAwcO8J//+Z8cOHCAf/iHf6Cvr49vfvObbN26lfPOq813dUMiKMeXNC5SSqxlpKQsCcPUutQgpayOBi0RS5W8gFenAhzA3HkBxvbz8EeO4Y8dx89MgucgYglk7zaMLWc2xajcHz+OGj4IsCzyq5QKGzOE2fwKMGgdcJAIl4ot/bXrSJikYwZZ22NousjWBiqYczFd0LZDRybzHJnMs7UjyYWb2uhvab7soxyu73NyushItshE3uHoZB63pCsYaI3zjB1dNTs6LH0sxUMnp8kUPUwp2LupjbjZmIF7UP1tTVqLxlhHiBAhQj0IpU6nyQRXCLHiPQsrEQrUEAG+9dZbed7znscznvEMfvSjH/Hud7+bvr4+7r//fv7jP/6DL3zhC009yfWEeDyOFYuFIu/yWc9KQAiBsOIlH8VifQ4Fq1wBLoeQBkb/doz++rS4tUIVc/iHH9THGtjdeOUXtMVcYMljrUylL24aZIsuBac2DbkQgs3tSfaPZDgxnWdzR2LZTVhX7+xm70AbDwxNs38kw9HJPEcn87TGTTa1xmmJm7i+Imd75ByPuClpi5vs6krTna7vuoznbB4byTCSKTKWc0InhQDtCZOLBts5o7uxxrRqcD2fh4ZmmC66IfltNHJ5Mm/jegopBO2JVar+RogQ4bRHpPNfP2iIAL/97W/nr//6r3nzm99Ma+usx+izn/1s/uEf/qFpJ7ceEcx0DMNAFYv4vh9WglcMVgJKBLgeiFjJ/mqVK8ArDaUU3qH7NHFNdyIHz1ze/oLrasZql5jUabwdpLoVXR/fVzUt9fe2xDg0LrA9xdD00pZotaAjaXHNzm4uGGjjvpNTPDmeY6bozrMbK8d9J6fpTFqc0ZOmNx0naRlYpfMvuB4Z2yNTdMnaHhnbZSrvMJ6vjO9OxwwG23RTW39rvOlVZ9vzefDkNFl7tvLb2kDTG0DB8ZgunX93Or6qEcgRIkSIEGF10NAT4oEHHuCWW26Z9/ve3l7GxsaWfVIbBYZhaLNnz4MVbAQUVlxLGZw6G+ECKxnPRbkOop4kuXUK5Xv4B++FzDhIA2PnRctqogPK9L8rI38AMA2JaQhcT1FwPFI1kDMpBFs7UhwYy3J4Ik9faxyzSROt9qTFM3f18PTtPiemC4xkixQcH0MKUpZBKqa9i09lihyeyDGRd7jr6GTN+xfAjq4UOzpTdKditCfMFat2TORs9o9ksD3dYLh3oK0hxwcAz/cZzejvWTpu1vQ5NRMV16hM6xYhQoTTA1EFeP2godG9o6ODkydPsnPnzorf33PPPWzevLkpJ7YRIA0DSq4Qvu+vWBU4IGbKKdYltxCGCWZMa4ftHJgb22pGzYzjHX0I8tM6/33Hhdowfbn7XaEAjLlIWiYznkPecWsmVgNtcU5M58k7Pkcn8+zsWjoeuR5YhmR7Z4rtC4Rl7EX7Fx8cz3FoQleLC46P7evmsLhpkI4ZtMZM0nGDlphJa9ykJx0jXYPWeTlwfcWh8Swnp/Xnl7Qk5w20hdX2eqGUYmSmgOcrTCnoSq3chKim8+H0aJKJECFCGTagA8TpioaeUK9+9at529vexuc//3mEEPi+z+23385b3/pWfvVXf7XZ57juUD6Dk1KGVeAVk0EEjVlBHno9ldxYClwbVcxtWK9F5fv4Rx5AjR3TvzAsjN2XIVq7mrP/oLK+Qg1wARKWwUzBqVkHDLoKvLMrzcOnZjg+WaCvJb7ixHIu4qbB2X2tnN1XGam8li4F4zmbJ0ayFEvewZva4g3FHFfsM1vUrg8C+tqSkfQhQoQITUc9DkIRVhYNMbZ3v/vdbNu2jc2bN5PJZDj33HO55ppruOqqq/izP/uzZp/jusGtP/whlmlSLBTCnyDS0PO8CmLcTAghQnIWxkjW+tpSIxwN+AivByjfwz9wV0h+Rc82jPOe2Tzy6/s6LY+VlUCAJsCgK5eO5y+x9Sy6UhZdKQsF7B/OrNh9Vi/WgvwWXY+HT83w0NAMRc8nYUrO39TGGT0tyyK/maJDpqSD7m1JrPsAkQgRImxMhB7Aa3we6x1B9PJKcquGSkmWZfHpT3+av/qrv+Luu+/G930uvvhi9uxZvq/resbdd9/NxZdcQjqtl6GVUtoJovQBua67YqEgQhoNRSJTkgio/EzTz2k14B97GDU9qn1+d12CbO9r7gGC6q80tGSkRgRfx3oGMSkEcVNSdH2KrlczyRJCsKenhX3HJsnYHkMzRTa1rY2H71piJFPk8dEsXslCbXN7gu2dqWUHVPhKMVGKS25PxkiucoV9LoQQKy6rihAhwhojqgAvCc91kZa1YquNNY/0b37zmxf9+x133BH++/3vf3/jZ7SO8YdvfjO/+brXVTyUDMPAsW3tC+y6CHT2dTM/LKVUuEwvYvURH5Hu1ElymfGmnc9qwZ86hRo5AoDcdSmyvbf5xyhkAOrSEodm3NSf5W4ZmgA7rg91FJxjpmRbZ5Inx3IcnsjR1xJflWSy9QClFCemCjw5rt1MWuMme3rSpJvUoDadt/GV1v2uh5Q8wzBwXRfPdTEMI9IKRohwGiH4Piu/9lXApyKC8AuUqqsQYBgGiWRtjkk1P0HuueeemrZ7Kg7WhmnieVrX6bounu8Ta2Y4hmtr/W+ZFKJWiJaSVKCYRTmFFW/0ahaUU8Q/dD8Aom/nipBfpRQqP62Pkaw92TAcuBow5g6qvvVIIAJsaktwYqpAwfU5PpVn2wKNa6cTbNfnidEsYzldod3UlmB3d6qp3sGB5VlnamUDQWqFYZq4rhuuMJnm2lakI0SI0DyEBHidSNnWM6oR32B1LFghW04AR80j6w9+8IOGD3K6w3NdhBCYponjOCjfb6ocQtk6yEJYybof0MK0INkG+WnUzDiia7Ap57SSUMrHe/JuTfwTrcjNZ63McQoZHYAhDUS8dneFQPfdSDBFzGycAEsh2N6V4rHhDMcmCwy0JYidxlrV0azN4yMZXF+Ftmqb2xNNJamTeRsFxE1JssHQjGZDCIFpWbiOg+s4URU4QoTTCOXf5SjuvH44to1fKkJ5gEw0/kw4fZ+eK4B9P/85hpThg8mxbYqFAp7nYVkWhmlixXRqlOe64Ye0XAQEOPT1rRNBw9hGkUH4xx4t+fyaGLsvaUpscjWUV3/r+QIFFeB65Q8wWwF2fRUS6XrQm46Rjhl4SvHkWLbu128E+ErxxGiGR07N4PqKdMzgos3tbOmofwK4GAqOR7bU+LZeqr8BykmvY9trfDYRIkRYCURV4PoQVH/L4bl19kWVISLAdeCrX/saQgit9y01vknDIJ5IaE9gdMk+KNu7jrPY7mpGWAGuU/8bIJBBqOlRlNecc1opqJlx1PBBAO3zm2hZmeN4jq4AA7JOe7jgC9hIg5IhJYF0t5EqsBCCM3p0tXokYzOSqc8VZL3Ddn0eODkdevtuaU9w0eb2hoMtFoJSivGsPkY6bhJv0Dt4pSCECCfTQdpkhAgRNj6EEFEDXIMonzAEK+yBXKwRRAS4Drzzne/E9TziiQTxRIJYPI5lWRWVo2D5Egh1KsuB8txZm65GK8BlOmDv/u/hPvxj3Md+gvf4nXjHHkGp2s9RKYU/eQpVaH71Ufk+3pEH9Dn3bEV2DjT9GAH8mVJiYSxZl/2ZUmrWxqbBQWw5OmCAtoTF1g59Lzwxmq3LV3g9YyRTZN+xSaYLLoYQnDfQys7udENSk6UwlXdwPB8pBJ1rHHixEKSUGCX9r1MK3IkQIcLGRzCiRd/p+hCuvgoRFh2h8eu47gnw8ePHee1rX0t3dzepVIqLLrqIffv2hX9XSvHOd76TwcFBkskkz3rWs3jooYcq9lEsFvm93/s9enp6SKfTvOhFL+LYsWMrds5SyvDDcZdRnocy+YMZa1gKIKw4cvsFkEhrzWt+GjITqOkR1KknUaNHaz+fySH8UwfwnrgT7/ijDZ3Pgvs+9SQUMmDGkJvPbuq+K47j2qjcFABGa099r21CjGVIgN3GJ0fbOpO0xAxcX/HQ0AzuBu4o9nzF/pEMjw5nKiQPXanYihyv4HhM5bWsoCsdW9duGmbgKKPUspb6IkSIsH4QNcI1hrD/RsrQJSJwinBdV5sQ1LFatq4J8MTEBM94xjOwLItvfOMbPPzww7zvfe+jo6Mj3Oa9730v73//+/nwhz/MXXfdxcDAADfccAMzM7O+t29605v40pe+xGc/+1luu+02MpkML3zhC1d0WTHo3PaXaeKsQpuu5UXgyp6tGOdei3HONcgzrkDuugTRu12f48nHUX5t10J2bsLYcRFy63moqWG8J++u+bWLQTlF/KEn9DG2nIMwV4b8APjTo4C+pvVGKZdXfxslwMtphAsgheDcgVYsQ5BzPB4amsFeBqFeKxQcj3uPT3FqRssRtnYkuWhzO6kVakjzfcVoRlsKpmMmqTX2/F0KQoiwChzJICJEOD0QEeDGMLf/RkqJ57o4pb4sz3VxHadm5xyh1vEn8Pa3v53bb7+dH//4x1X/rpRicHCQN73pTbztbW8DdLW3v7+fv/3bv+W3f/u3mZqaore3l09+8pO88pWvBODEiRNs3bqVr3/96/zCL/xC1X0Xi0WKxVl95fT0NFu3bmVqaoq2ttoss4rFIsr3kYZBLFY/oVNK4Z06AL6H7N6KrJOsLbl/38N78IfgFJCb9iA27VmU1M3tWFWZCbwjD2DsvBiRbF3wdbXAO/IgauQwpNoxzn7GijUkqWIOb0xXvI3e7XXbwgWez4ZhhBrNelFwXE5NFzClYHPn8iY2MwWX+09O4SswpWBrR5KBtgTmMqqaSikm8w6TeYei52NKQUcyRnfKqhi4hRAUXY+cowelhClJ1qilVUoxnnPYX3J5sAzB2X2tdKygD69SipGZAnnHw5SCTe2pDRF3rJSiWNCkPRaPR+EYESJscLiOg1vy+W70OfJURLFQQCmFFYthGAa+72MXixX/XylFIZ+npbV1Sb62rkfSr3zlK1x22WW84hWvoK+vj4svvph///d/D/9+8OBBhoaGuPHGG8PfxeNxrr32Wn7yk58AsG/fPhzHqdhmcHCQvXv3httUw3ve8x7a29vDn61bt9Z9/oF2seEqsGtryYIQDet/F4OQBnKTTu/zhw6As3RDVYVeONUOxVwoJ2gUys6jRkuBF1vOXjnyqxTe9DAAItXekCfychrgApQ7QSx3/tmaMLl4czvpkhzi4HiOOw9P8NjwDL7f2L4Lrs9wxqbg+lhS4is4PJ7j5PRs9LcQgkzR5YnRLI+PZHh8RLs2TOarN1kqpSi6HmNZmyMTOR44Oc3DJZeHlrjBxZvbV5T8gq4250t66Z7WxIYgv1DSu5XuNz+qAkeIsPERVYAbwtz+G8/zKryAg397NUoC1zUBfvLJJ/mXf/kX9uzZw7e+9S1+53d+h9///d/nE5/4BABDQ0MA9Pf3V7yuv78//NvQ0BCxWIzOzs4Ft6mGd7zjHUxNTYU/R4/WrpMNUfqQAr1K3QjIpmxuslw5RM9WxMAZiIFdS7pM6GV/fcsop4h/8nFNzoMmuwbhH3sUlEK0diPr1OTWA5Wf0SRfyIaOU94AJ5dhvl3e1NWIFdpcpGImFw22c0ZPmqQl8ZQiU/QaJniWIdjcnmB3d5rdPWnO7G2hK2VxYroQEkjQDXierzh/UxuXb+0gZRkcGMtWbBNgOGNz55FJHj41w+GJPFMFnZq4pT3BBZvaiZsr78IQ6H5bE9aqHK+ZCAhw9MCMEGHjI5JANIg5PEgKsSyzgXUtgPN9n8suu4ybb74ZgIsvvpiHHnqIf/mXf+FXf/VXw+3mksNazKWX2iYejxOPL687XJUJtht6fZg4tnLzFCEExiJBEzr219eV3mIWcjOo/LTWJru2bq4rEWdl51GZcVR+BmFYyIHdSx7fnx5FTZwAtPZ3paCUwi/5IMuWLoRR/63vl3WgLmdCol+v05R9Bc2gYlIKNrUlGGiNM1108Zao/i428JpS0hKfJVxCCLrSMUayNsEtOZV3yDse5w20hrKHXT1p9h2dJGt786QQ7Ql9vVMxg3TMIB0z6U3HSKyS/VjecSmWNNJt6yDuuF4EmrdmeYtHiBBh7RAR4MYgAAUVhSjhebiui2madXOtdU2AN23axLnnnlvxu3POOYf//u//BmBgQNtkDQ0NsWnTpnCb4eHhsCo8MDCAbdtMTExUVIGHh4e56qqrVvYNLNMuC1WqpK2h5s8/sE+TXVG69YwYorUL2b0FkUiHPr3KzuPt/5mu5MZT+K6NP3YM44zLF2w0U76Hf+RBAETvDkSdfrx1wSmAWwQEIt3R0C6C5edmaDClEHiqsTCMxSCEoD2xNMGrd4I4NF0gaRnETP27jO0SN2Uo5/CVImZIDCnIO9681ycsg6t2dK2J44JSiqncbPXX3IAa2vIHZpQeFSHCxkaUBtcYhBDhGBhctyCB1y4WNQmuY3V2XRPgZzzjGTz22GMVv9u/fz/bt2v3gp07dzIwMMB3vvMdLr74YgBs2+bWW2/lb//2bwG49NJLsSyL73znO9x0000AnDx5kgcffJD3vve9K3r+4eyu0Zs7rDiuzQM7tAtzChhnPX2e1CF4f8rO4x34OZgxjO3nQ6IFlI/3+M9Qk0OI/l1V9++ffByKWTDjyM1nruh78bMTAIhUW8N2cqH+dxnyhwAdyRgKltWsVi9Gs0UeH8ni+gopSpVoQIrSUpKCM3vTdKZi4UAjhOD4VJ7JvMue3nQoHXA9hRQilHME70LAgtrjtbIbKzgeRddHsDGrvxA9MCNEOJ0QfZ8bw9wmbNCpmYZhhI2FuC5mjc/odU2A//AP/5CrrrqKm2++mZtuuok777yTj3zkI3zkIx8B9MV405vexM0338yePXvYs2cPN998M6lUile/+tUAtLe387rXvY63vOUtdHd309XVxVvf+lbOP/98rr/++hU9/+UGJsxqgNdGryjMGOYF1+EdfgBv/8+Qm89G9u+c/XuJJPknnwC7gHHONbM6YmEg4mnU1DCqb+d8mUp2EjV0AAC5fS/CWMHuf8/V+l9Apjoa20e5/rcJFcSWGqq0zUZH0uKCTW2lynNJFqIIK9Ger0JJQjDAHJ3Mc3K6wM7uVIUvb/Bxzr21faXWla+uUorJDV79hVnZjVJKS6M26PuIECGCRnk1M0JtWEw6YloWpmXheR6FfL6m/a1rAnz55ZfzpS99iXe84x385V/+JTt37uSDH/wgr3nNa8Jt/viP/5h8Ps8b3vAGJiYmuPLKK/n2t79Na+usLdcHPvABTNPkpptuIp/Pc9111/Gxj30s7BxsBEvN2poRmLAaGuBaYGw/H7+9D//gvaipU8jdl4E09PvKTaFGjyB3XYqIJSqui8rPIFo6K6qJAMp18A7eC4DoHER2rFziW3AeAFiJhuOkA/nDcvW/awlTSsx4bfeSEIJD4zlOzRTZ1Z2it0Xr4YPPMWEaFNzCbOVXCHylcH1Fwmqw6XMFMFNwsD0fIaAtubHthqSUeJ6nJxlrfTIRIkRYFiICXD9q0U7X4wKxrn2A1xOmp6dpb29nYnKKlpYWTKOySWguyr0744lEQ4TAmxpGZScQLV0Ybb3LewNNgPI9/OOPIbsGQx2td2Af+C7yjCuA2RvUHzuGP3wY2bcd2b1ldh/Kx3/i56jpEbASGOdes6KhFwDu6BGw88i2XmSDjhXN8P/dKFBKcXgiz3jOZndPuqqmuOj63HVkgjP7WugrkeMTUwUOTeS4bEtHGPaxlnA9nxOTORTQlY7TugZV92bCLZm8Syl1+lGECBE2LMJnimliWRt7bFot+J6HbdsIIYgnqhezfN9nbHSUvv7+JX2A13UFeD3CVXBiMkdn6YE6t7oZoBkVYPyg6rj2ZAK0b7Cx9dxZ7a/v6XOMp8PrAKByU6iJIYRpIeYQd//4Y5r8ColxxmUrTn6V50IpTlokGg/raKb+d71jPOdwdFJfs2OTeY6RR5acK87qbdGDjykZbE9wZCJPwfGQQnB8qsCW9gSWsfbVX6UU49kiCoibkpb4xh/qZJkTRKQbjBBhYyP8/kY1yNpRQzNwPVX1jf9UWGXEJMQTcSayRWzXo7slUZUEl1tmNYxQA7w+CHCA4D0JaYCVKCPqQleJTx1EuUWdLmfNVqr88ROoU08CIHdetLKuDyUEUdJYCYTZ2Cy72frf9Y50zODsvhY8X2F7vtYJ+wpvzqCyqzuNZeQZy2qN7ZaOBJvbmx/Y0giythv6EXel46cFWYwaZyJEOH0QWaHVj2aPeREBbgCtCYuYIRnJFDg5laO/LYksq4AG3fUAtq+wlKoIP6gZoQZ4/VYdRXsf/qF78QwLEUvgjx4DKZA925HtfeF2yrXxjzygXzOwG9m5aaFdNhUBAZYlu7ZG0Cz/342ChGXU7M+7tSPJ1o71QXoDlDe+dSRjxDZY6MVCKG+ECxKQIkSIsEEREeC60ewiQDSCNoi4ZbCpXRPf4xNZio43jyAVPUXW9hme1svE9UJ5+iHeSGjDakF2DmDsuQKVm0TNjCESaYydFyN6KqOj/ZNPgOdCshU5uHDwRjOhfA9l5wAQifQy9lMiwE0gHL5S2K6+F6KBb2XgeNrRQgCtG9T2bCGYJa2g57pRKEaECBsYc729I9SGZlbO1y+z2gAwpKSvNcFkzmZoOk9nKlbRaR6TICxJwYdT03n62hIkrdouuXJtTRgBVlgnu1yIli7Ms65a0PZNFTKo4UOATntbrSqqyk5ofZUZA7PxpqFl29mVwXF9RjIFBjtS4arBU6GqvJrIO/p7E7eMxlZe1jEMw8AzDHzPw7FtYvHTQ94RIcJTDRXfW6Uazwt4ikFIifK8phDgqAK8TAgh6EzH6S6ziQId1yeE0J6oSgceJBZYilVK4U2P4E2ews9NaR1tphTcEE+v6wpwOapJBLT04SFAIdp6kavkZlF+DWVr97JIQjMJcMyUSCGYyBaXva8I1ZEragKcim2M7029CDrGlVLa+D1ChAgbDuXPy2Yngp7OCCvATVgBOz2fEGuAlrhVUc0TpajbnONT9BT9bckFHSP8mVFUZhwAlUNXLD1H76elk40K5ft4D/0ojCCWW85ZtWP7mQndRGjGluX+ALODUzOqiUIIOlMxhmcKdKR0aERUBW4eHM/H9vTAeLoSYCEEViymbZRcN4wDjRAhwsZC5AVcP5opgYgqwE1EhQuEUhRdRd5VdKbjxEwjJDrlH5xfyIbkVyTbQJrg2qWl+zgilmra+Snl45/Yj8pONm2fi0FIiegehFQbcs/liOTyiGitUJ6DyuprKlt7ll/9DSrATWo6SsZM4qbBeFQFbjpydkn+YBrrKpGu2TAMIyS9ruPgOE70EI0QYYMhcoKoH0tdM8MwSCRra8yOygYrAKUURdcn6yqSpqAlXtmII4TA9xVOIYs3PUIMEKkOjI5+lOfgjR0D10a2djW1MqgmT+GffBxGDmOcd+2iHryqmEMpf0H3BKV8VCELQiCsxIIyDTl4FojVTQbzp0c0aY0lEctwf4DKZZZmvoeOVIxT03lcz8c0ZFQFbhICApw+DXx/l4Jhmih0Q5znuvieh2lZSLl+kvgiRIiwMISU4HlNWc5/qmBu8+ByxrrT/ymxSrBdD9vzScdMbM9npuBgCmiLa91v8EF5vk9+ZpJJ19S/MzsxUfSV0kqEYWH0bAfXbji2d0EUs/q/ro1//DGM7edX3UwpH2/sqD6fnu3zzkPZebzJIV2pLkF2bEKm5ieuCLm6FlSqmAujj432vmUTgVD+0GTLqYRlkLR0FbivbXa2GhHhxuF6PrarHyTJ2OlhfbYYhBBYJcLr2DZKKRzbRkqJFYtF91GECOscUQW4fjRzXIskEHXC930c28YuPXDKMZEtcmo6z1TexlfQHq+MS1ZKMTMzw5QtiHkFepxRekQBYcUZyzqzMxopm09+AVXMz/579MjCUgi7MPt+sxOV+3BtvNGjmvxKI3So8KeGUM7aL+n7gZwk1Y6wln8Nm2mBNhcdqRh5x8N2vQrtOIDvRwNivciG8geJ+RTyyDUMg3gigVGSRPi+j10sRg/VCBHWOSIrtPox1wt4OXjqPCWaBLtYxPM8/NJPgJhpsKkjhQLytkdrwkIKge/74QeWKbrkHUVcFem2PBJdm4h39ZOKWzheE5Ljljx57YlLSa7gjx+vupmyy4hyfkbHCZfgTw0DWl5g9O3E6N2BiKdAKbzx4yi1dks5yrVRpSq3bOlqzj6b6AAxFzHToD1p4c0huznbZSJXpOjW7x39VEbg/pCOn17ev7UgqAbH4rNuNE6VSXqECBHWD6JVmsYQFKQiAryGmGtdYkrJpvYULXGTiZxN3vXDyq/j+uRsF+k7tLozmqDFtDOEFCUrtBWu+qlSZVeUEtpUbrr6dk6h/P+h8tPh7wOCaXQMIKShz79jk64Gew4qn1m5N7AE/NwUULKOa5J3chA2sFKpW+3JGMmSW0HwZTalREFklVYHngruD7VAShmSYN/3q65URYgQYX1ACDGbCBfpgGtGs6zQIgJcJ2LxeLjUyAIPlu6WBB2pGNpAQC9t2J5e6m5ReQx8/DKiOFNwsAyJaazsxyHi2lEikD4s6C8czEpFaZZVkjYElWERT1UQTGGYyHQHAH5usrknXQ9K57ncxreVRjkhKa8ABP82pCBmSIquT6borPr5bUQEzW8J6/R2f6gFgQYY9AMikkNEiLB+Edhrel604lcrgmu2XP/kiADXCSkltTxe25Mx0jGj5Pjgky26xE2DZEsrCvAzo3ijR5jM5LE9n/ZSgtxKPqhEa7f+R7EkhYgvEA9slJaQg2UGt0SAA41vFW2tSLXrf9j5NdMCq6Apz2ziEvgKLFEt5P3o+Yp8Sf4wldeTIusppGVtFEqpsvCL07/5rRYYhlEhh4gqwREirE8Edoae50Xx5jUilEBEFeD1C8PQD2Pf84iZ+lKLVAcy3YkQgrwHUwWX9oSFFfx9BTVBonMQkm26cS2WRHZtqr5dUBmWpf86RZTvzUooqhFgwworr2tRBVZKzYaHNDE6Ovw0mkweJnN22LTl+4qC4zGZKzKaKWK7Pl3pOIMdKeJWROiWQtHV8gcBpGJPPf3vQiiXQyjfx4tS4yJEWHeQhoEscQU38vOuCbKseXA5k4anrliuCVjqNg10o77vY0qTGdfROuBkF7bZymTeJe1lSXkOUsRX/HxFLIF57jVLbyjLbgvDKml7Z0qJbiBi1U2mRaoDVcigctOo1t4VcU5YEF4gFRCV598kNHtIMg3JeLaIIQQFxyNruwigMxWjJTFL4iJbtKUxU9CV/3TcfMrLH+ZCSollWTiOg+u6+mEbrSpEiLCuYJomdqkCHI35S0NIiZQSvzSxl7HGil4RAW4ENd6c5QRQL83GmcjZCHSlt83yabWnICNQqbaFNbmrDBFIIDwHkWhB5abwZ0b17xYJvRDxVBlhnkaUdMGrAeWWCLBpbYjBozVhMZ23GZ4pYEhBW8KiLTn7JY4GwdrgeD45W2vnWhPNq/yfTpCGgSw9XF3HCavCESJEWB+QZYTO9/1okloDTNPEtm08z8MsVc09z4M6LOWiq7wcLHGRhRAVWpWWhMWm9iR9bUn625J0tLVpPa1S8/x21xQBwfW92ShmX5OMhZLhQL/fsBkuO7G6SzmB/MFo8hL4CpLQzrQmIgNtyZD8zk23iUjw4pjM6epvwjJCmVGESgghMC39vQgesBEiRFhfKF8xjrA0pGGE/MqxbVzH0T+uGxHg9YK5N7UhJZYhMaTQhLHkV6uyk+vHBkUaIfGbW+1dymFBpNr1a10bFfgOrwJCr+ImV9FXSgMM2q7LEILpglNBfHVioCJnu0znbUYzBWYKTugVHUEjb7uh+0NHKqr+LoagwgREWuAIEdYhRBlXiHTAtcEqC/8pd9GodYyLCPAKY6lZnUi0aNmA8lH5qdU8tQUhhAAzaJ7xwrQ3DGv23wu9VhqIpHaEULlVfD8rVQEuYaWGo57WBJYx2wDpK0W26DCeLTKVs5kuOLieYqbgMDyTX3Gv6I0C1/MZK/kktyYs4mbULLgUjLJu8+gBGyHC+kIoe9D+qWt7MhsEsuR2E1qIlpoJa7WUWx+i0w2GehalZVliSTVdp64Cd+JPDeNnxhHJNoRc+4e5sOI6+MIpIuJplGsjEi01LcnLZCtebhJVyK6allUFTXAbSAIBeuk+bsrwGmWLLpmigxSCloRFOmYipa4Ij2YKTOSK9LQ0PyZ7vUAphVtG8r2SQ0bBcZFCYBrahjBTdPAVmFJE1d8aIaUMLfg8zwvtlyLUh2Asj3SaEZqJYPUvcDYwovurJpS73UB9EpJoBFxhzLupjfnkViTbITMBnoM3dhSja/OKVTJrhTBjuurpFpEdm1BmDJFsq+3FsaSWUfgeys6HARwritACbYWu20r6MwdR2QVd+W1NWLQnY6GjgVIKQwqSlkHO9vCVCm1gThfYrsd03iHvuCxa5HbK4scNSW9r4rS7FisFIQSGYeC6ro5xjwhw3SiPmDYtq+p4HiFCo5CGgee6mius9clsIJQX2er5TkYjYCMIPOhK/3csUyBne3SkYrQm5hMwKeWiS45CSoyuzXhjR8Ep4o0cxujagoitYaUvqEIrHyFlXY4OQghdNc5PowoZWGECrHwPAg1wEz2A9c5Ln9sqkKy845KOm3SlZwMM9KH1BCpnu8RMA1n6/6dDg5zr+UzmbbLFSs2WKP2PIQSWIUtx0QrHUygFliFoTWwMx4/1BGkYUHrAni730GpDnEbfvwjrC1JKPKJGuOWgHvvViAA3Ab7SkXwLkVyrBo86YcUxerbjjR8D18YbO4LRvXVBz931DpFoCQmwautd0YeFcnRAB4bVdPlI8Imu9KPO8zW5a0/qr2T5A1YpxVi2WJEYuNEfvr5STOVtpvOzUc+pmEFrIlYhCYnQXJRf14jE1Y9yR43o2kVoNpaSTEZoLiICvI4gTAujZxv++AmUncObOInRu2N1AyXmn1Vjr4qn9Ws9B1wbrBX0Hi1FL4uVOMYqVYANKTClIGd7JKzZKu90wWE6byOFoLc1QdLauF9ZpVTo25spOmFDX9w06EzFotS7VYAQYtZv1PMiHWsDiEhJhJVCLZLJCM3Dxn2anqYQ0kB2DeKNHALPwZ86hdFZPbJ4PUNIiYinUMUsqpBZGXJaQlABrhbRvOx9l8kQVhpd6TjDMwVOTuUxpcR2Pd0MF7dIx01iprHhqgJK6Sa2TNEh73gVUmpDCrrScZKWsaHe00aHNIzIDzhChHUKISWqFFwTEeD6IYQIHW+WQkSAVwj5kj9pzDTqjmcV0sDo2IQ3dlTLCNp6101KXD0QiTSqmMUvZpGt3StyDKUUys7r/9NkAlwuaVkNgmaWmrps18N2fVoTZnj/BI1eG4koFl2P8YyWbgQQQNwySMdMUnEzamBbA8g5fqMb6Z6KEOF0h5QS3/PWTy7ABkMQ/14LNh6r2iCYytsUXZ+eljjpeP3OBDpW2NTNXZ7T9ICH1UCYIucUVuxBqzJj+hoJ2fSmQb9GL8FmwjJ0UEp6gYK57yvyjovnq4ro5PUEpbRv8UQppU0IZqvYRqTvXWuUL7N6rhtqWiNEiLD2iCaoq4d1LQBzXZc/+7M/Y+fOnSSTSXbt2sVf/uVfVizdKaV45zvfyeDgIMlkkmc961k89NBDFfspFov83u/9Hj09PaTTaV70ohdx7NixFT33wMppWRWukhVamHK2AJTn4M+M4U0N42eaFUFcOu869qWUolAoYNua+GDGNPtRKrQpayaUU8CfGQNAtvc3vQEuMNM2THNVB6Hg86v2Obq+z2imyGTOXpdhBkopJnJ2SH5TMZPNHSm60nHiZiR1WA8oXyKsJzY0QoQIK4/yMTKSKa0s1jUB/tu//Vv+9V//lQ9/+MM88sgjvPe97+Xv/u7v+NCHPhRu8973vpf3v//9fPjDH+auu+5iYGCAG264gZmZmXCbN73pTXzpS1/is5/9LLfddhuZTIYXvvCFNaeFNAK/9FCRdcgf5j6IhCxVfZcgj/7kKfyZUVR2An96GJWdqO9kqyG0eqv94eh5Hiill2+CmWuQKBc4NTQJqpjDGz2qTzXRgki2Nnf/pSYEqM9XsBkQi8gdLEMihXansN31NzhO5x1mCvp+7UjF6GmJR4bu6xDl9/RarHREiBChOoQQ2q6QiACvNNb1k+mnP/0pL37xi3nBC17Ajh07ePnLX86NN97Iz3/+c0CTlA9+8IP86Z/+KS972cvYu3cvH//4x8nlctxyyy0ATE1N8dGPfpT3ve99XH/99Vx88cV86lOf4oEHHuC73/3uip27XyoBl1eAA1LleR6u4+CUftySL+c8wlOSPSxWAVaujSpmARAJTQL96RGUvUzCKRqoAJd9WYMvbtD8tuzzKT9OMac9k5UPVgLZMdD0ymIwOQq65tcLhBBh7G/eqS3vfDkI5AzD03mOT2QZzxYXrBhmiw6TeV357UrHaU/GoorvOoUQIkyCi6rAESKsL4SRvtF3c0Wxfp7sVXD11Vfzve99j/379wNw3333cdttt/H85z8fgIMHDzI0NMSNN94YviYej3Pttdfyk5/8BIB9+/bhOE7FNoODg+zduzfcphqKxSLT09MVP7VCqdm6qVFGADzPw7FtHNvG8zz80o/nuuHvKhqvAt3vIgTYz07qbeNpZOcmRKJFv2TiBEotZ/ZYPwH2qxLgki63ZFW2XCil8KZO6X0nWjB6tjbf+7cUFQurX/2tBem4vi/mhkc0G0rp+OXxbJG84+H6mgwPTeVxS/q04H7N2S6jGf0ZtyasqoEwEdYXAhlE+f0eIUKEtUd50SVaoVk5rOvOqre97W1MTU1x9tlnYxgGnufx7ne/m1/+5V8GYGhoCID+/v6K1/X393P48OFwm1gsRmdn57xtgtdXw3ve8x7e9a53NXTe5VGuAf/1XBfXcTBME8Oo1EIGzSiu41RkWocVYH+RCnDJAUGk2nS1smMAb/ggeA4qO4Vo6VzwtYshhDmiWAABAABJREFUPL86SHQ5efc9DywrJMCqSY1wKj+tfYWlUar8Nn8O57puWM2W65AALxoV3ERkbZecrQff9mQMUwrGS4Ecxydy4XaBzBsgHTPpTK3P5rwIlQhCHVzHwXUcZNnS60rAz03h56YQZgwRSyISrWvscR4hwvpEoNP3XBfP82q29YpQH9b16PO5z32OT33qU9xyyy3cfffdfPzjH+fv//7v+fjHP16x3VxSVQvRWmqbd7zjHUxNTYU/R48ebfyNAK7nYZomlmUhpQw7sYMldtOydEWtrIoqSk1wC2mAlVKaDAKipLUV0kC29gDgZ8Z0THAjCB5MDVaRw+qgFQOE3s8yG+GUUrNNby1dTa/8gia/nqsnHMFntZ6gJQn6M1/JKmvBcRkvVXQ7kjE6UjFaEhY9rQlMOff7pv+btAy6W+KR7GEDwTCM8B63bXvFNId+fgZ/cgjsPCo3hT85hHfqCbzRo3hTw6gVaJKNEGEjwyjTAUda4JXBup5W/NEf/RFvf/vbedWrXgXA+eefz+HDh3nPe97Dr/3arzEwMADoKu+mTbNhEcPDw2FVeGBgANu2mZiYqKgCDw8Pc9VVVy147Hg8TjzeaHhDlRLdElICpRQIUfnKMglEVcLuu7ME1ZytuolUO2QnwLXxM+MYbb31vwVRIpfLkFH4wczVimsrNDuPMBuvDqpCRpNoaSBSHQ3vZyEE2mwA0zTX5ay74Hg4ngqtxZqNouORc1xm8g4KTWrbkrPHScVMUjETXyl8pRAIPF//O4owro4gAc/xfFxflVL/JAJdPZdCYEixJtdOCIEVi2HbNsr3sYtFYvF4Uyd+yingT5zUx0u2gmHp77Jro+wc2Dm8wgxG9zaEGUlnIkQALYMIUhtdx8GKRT0Vzcb6Km/NQS6XmzcQG6UUI4CdO3cyMDDAd77znfDvtm1z6623huT20ksvxbKsim1OnjzJgw8+uCgBXg7KSWxww8qShCPQ+arSrM73/VADLOc2XMkyAlZFBqECXa1Z+cUQQoRVYJWdWNJGrSrCCrCqW4Rf7mMIIGJJvatlNsL5JXcLkepo+tKpUgqnZN8mDWNdkl+A6ZLDQkvcqsthZCm4ns/wdJ6h6TzTJfKbsAx6WxNVB10pNIkzpCBmShJRmts8KKWYzBU5PpHj5FQ+tK8byxQ5VbrWJ6fyHJ/McXQ8y9BUjqm8jeOtbrVHCEGs7OHa7Eqwn50ClO5T6NiE0daL0bsDo3c7smNA2z16rg7+WazhN2oGivAUQ+DRHfCECNWhlMJxHOxikWKhgHU6JMH94i/+Iu9+97vZtm0b5513Hvfccw/vf//7+c3f/E1AD9xvetObuPnmm9mzZw979uzh5ptvJpVK8epXvxqA9vZ2Xve61/GWt7yF7u5uurq6eOtb38r555/P9ddfvzInXmWcNk0Tt0SyRKn6E26qFEJKzDl+s0KIsjAMN/QFBu0M4U+WmsFKBLMcItGik9GcAv7UKZTrgJQY3VtrIyrl2lrlz1aEa8DcqFURS2oiHiS2NQDlFKD0eplub3g/VfetFHZRTyaEEFiWta7InOv5FByPvONRcLSkpZnyB18pTk7lQm1xKmaSjOm0tvV0HTYSXM9neKYQklkBxEyJISWeryvBoBeG/FLTbNH1Kbo2kzmbuClJxy1SMWNVbOSEEMTicexiMfw+WLHYsptAlVKzLjXpjkqLPyuBsBKIeBpv9IjuWyhkEOmO6vspZFBuERFL6aCgCBFOcwTySLfkFrXanvQbAb7nYdt2KCeVUuLUOFlY1wT4Qx/6EH/+53/OG97wBoaHhxkcHOS3f/u3+Yu/+Itwmz/+4z8mn8/zhje8gYmJCa688kq+/e1v09o66wv7gQ98ANM0uemmm8jn81x33XV87GMfW9UO/2Cp0fD90CcXdCVNlD60qje21ARYeS7lf/Wnh3VV2Iwhq0gcgiqwP35MLzeWoIrZ0CmiZtRbAQ48hEvV48AKDdduuBEudLtItM5qo5uAYOYYfB6ruczk+T4520UKScyUobbW8XyyRZecrRPf5l79dMzEMpq4RK1UxUecsCLyuxy4ns/QdB7PV0gh6ErHSC1yPZVSuL6i4HjkbJeC45XIcJHxrHaSkVKU/gsgECIg1QYJy2jK/TCXBDu2jW+a8ybmdcF3Q+1/mAw597iGidE5iHIKyCrkF9CTcNdGOUX8mbFZ15sV6AOIEGE9wTCM0A7NK/USRZiF4zgYhoEVm5VX+vnaim1CRetKNWF6epr29nampqZIp9NhJTcejzMyUyBnu3SmYrQlY7iez/FJ3SW/vbtOsjkH3vhxVCGDbOtDlhwdlOfgnXoSAKNnW9UKMJTcJYafrLBRE/E0RveWJY+rlMI7qe3njIEzanrQFEo3XTwep1iqqMbiuikq3Ff/rroJrPJ9vFNPgFK6gt3E6o/jOLNNb02oeNUCXylm8g5TebvmmJFAZpC0jBVJVCu6HuMZ7fAAQUNbAqOJMounAlzf59RUHtdXmFLQ35bErJOcup6eGGVtt+awk5a4SUcq3pTPSymF6zihNZqUsuGJoZ+fwZ84AWYcs2/H8s7L90EIvOGDiHgK2daLkEYUFxvhtEfwnJpL9CJo3jG3b6Gcr7W1tS342mgq0QAWi6ptOqpYoYVaWiu+IPmFUhW4Y5Mm0MlWvNEjqGIW5TpLN5tUvLf6Hy5CiLACLKUs6fwccJ0KKUctUPlpfT5mDBZ5v/XCK3kwg3Z8WGnyq5QiZ7tM5Gy80hK4ZWg5jF2m+xToKmxL3MIytc52WZHaNSBuGgy0J5kuOEzmbPKOx/B0nv725Iof+3SB6/mcms6HjW6NkF8A05C0JfVk2vMVnu/r/5Yq9YHPuK8UxVK1OFN0ydsePa0JEtby7uNgtUq6Lo7j4Jc1x9VLNIMESBFLLOucVEkmppwieA4i2RpOyoNzUsWcXilLpKPKcITTClJKPDZOMlwgo5KGgWWtbGOrEALf9xtq3I0IcB249Yc/xDLN0CkApSgWCpiifiJca9VCSFNXCcuquOFDxVr6oSLjKShVTEUshbJz+LkpjLaepc6w7CTqfOhRSYBBW7opz0F5Tt102s9NASCTbU2r9CjfD5vejBVueguIykzBIV/S8BpS0JGKhVIDpVRIitfSEaA9GSNpGZyazmN7PiMzBfoWaISLMIuCo4NAvGWS37kwpMBYgswVHI+xTAHXV5yaztOZitGaWL6O3TBNhJQVuuC6SbBd+1hVC/zMmNYOm7MOPcpz8KdHtdbYMGFyCJHu0BXi6L6NcBogIHehrHCd39ehZMN1lyehqgFGiZMp30eWMhZqPd66doFYb7j77rtxy02pS6LrhISkWdsF932fYrEYNl0tiWppcEH4RZ0PFZHSzWMqP7V09XqZ1e3ApSH0NS5VnJVbn9+ncooQEP5U85rfnNIkJggDaDZ8pRjLFDg+keXoeJbhmUJIftuTFoMdKVrisyRFCIFpSExj7a3EYqZBX2sSgSZXo5kC7gapPKw2XM9nLFPg1HQBryR7GGhLNlWjvRQSlsGmjhSpmB4rJnI2IzMFbHf5CVJSyjCcJ9AF17rypZRqWgU4nFDnM8hUG5RNCvypYZRrI9v6MHt3IDs3aTLsNC9+PUKEtYQQIixEbYQqcHlBaaVXyoN8Bb9U1LKLRcwaV3MjAlwH/vDNbw6X9IOOQysWo+BDqkYCLIRAzYmRXRSBBKLMKD4gkWFzWY0QyRb9JfJccJcg4EGAhqiNkFVEOIvZJXu/rAIMgGfXdc5+RgdfiETLbDT0MuF5XjiIrETTm1fSgWaKbtjtb0hBOm6yqT1FRyq+7mUFccugp0WTlpztcXIy1xRCdTpAlSr6o5kCxydzZEqR1C1xk00dqaZUfuuFFIKelniYwpd3PG291gQiLKUkVtId+r5fe2yyWyw5yEgwG/VUL5Oc5SZBSu0CUS57KGSQrd2aGAMy2QpK4Zeaf6M2lwinA8Jnxga4nwN+BKsT5WyYJvFEIvw5LVwg1isMw6jQi3oKEhLqnZfVspQRVnk9R3tkSmPWE7hOQiiEfnioYhZVzC1aQQ4Jd4163dDyLEi4K6sAK6WgVAFShYzW6dVw7spzUfkZAGRLd03nseQ+y/x+DdNsetKb5yuGpvO4nkIK6ErHSVirY2XVbKTiJv0yyXi2iFPSt/a2JpetMd1IUEphez5Fx8N2fexSoEU5EqZBeyq25tdFCEFbMkbCMpnKF8nZHtlSM13CMmhPNn6O0jC0lWMQ6W4s3YipyuQPy5lkBq/1s5PawaY0JimltDzKiiMTLZXjaWnivhGWiyNEOB0RhHisZsW63u96RICbgJgE1wdqeLYEBLHWCrCQhm7+cm2dpFbeBCbr//hEfJYA09K18IZBlbnGZKbgJg8IZfmNqJTSFkiBL/HMKEbHwNL7LFmfEUsuewk1OI8K6UOTdb++UozMaPIb6EBXcyl8JZCwDAbakgzP5Cm6mgR3peO0xE9fmzSlFEVXOzEEVnRzIQUkLJO2hEV8nU0IYqaktzVJ0fWYzjuhtVrByRM3DdqTVkPBJYZphkE+nusuKR0Kg3rqXKkKX68UKjelq77SBNdGtPfNhuCUPIaD0J/wdXZeB/nUuHoVIUKE5kMaBrgufqkIth6/ixEBrgP7fv5zDCnDJjilFL7vYwmYsH1aanwO1kOAodS8FhDgIEq4wcE98OJUdn7Rm1IFUoVaK8BllkkwuwQSzABN08Ro69VpT7kpVKp9UQcLpXy95AnIdOeC29UDz/PC82y29MHzdfCB7fpIAX2tiQ1PfgNIKehrSzKaKZC3PcazRQTQ0sQwjvWAguORKTrkbS+U7oBWDSVMg5hpEDMlMUPW3Ki4lgN/3DTobTVwPJ/pvE2m6FJ0PYZnPOKmDCvCtZ6fECJsOKnFlL8p+l/fw586FZxA5d88G3x/3jiiijlQfrjCtV4fvhEinM6YVwRbhe9gvXKniADXga9+7WucffbZoQZOCIE0DGYcF6eOKn+oX6uZACdRuUmUnUMl0vqXjephrbjW5ClfN4ksRELDCvDSnoMVbg9lS/0hAfY8ME1EPIVItKIKM3hjR5HtA9rOqMoXQ+WmtQ5ZmvUHd1SB53nhxMVssvTB9X2GpoLgA+htTRIz11dVcLmQQtDbkmAyZzNdcJjI2aTi5rrXMi8Fp+S5myu6lVZ0AlKWSSpukqyDJBYcj1OZIjFD0pWyiK+D+8AyJN0tCdqTPtMFh0zBoejqCVvclHSl4zXfr4Zh4LouLGHKr5SCUgW4UQcIIQSitRvZ2o1fyOBnxvHHjqFS7cj2PpTn6XFQzcqvlOvoQoERC/3CI/IbIcLqo7wIZheLGIaBuYIpq4FTjVIqzCRYCqdHiWqV8M53vhPX80KhdSwex7IsVJ3GXvUT4NIDxLUhIN8NyB+CYwcPBm/qFMqfL1Cv6N6ugQCX63/LiaUs6aSDJRAA2dGvq9BK4U+exJ84UdHgB7o67U8P6+3L4lMbhb+ClmdKKcZL9lemFAy0p9ZcC7pSEEJbtxlShNZuGxGu5zOVtzkxmePEZI7JnB2S33TcpK8twdbOND2tiUUT3ObiyESOfccmmS64HJvM8+DJGcay9TV9riRMQ5Pdwc6UtklDxy+fnMrrUJZaJFlChB3Wi2r7nAKg9GS7CcmNMtGC2bMNo28XIp4u9TMkQIiKiHU/M4byXUSpIS5qgItwuiC8kzfQhK6iV6qs+XylEFWANwLq7eYUZZq3sDmtcZIlW3vw7Dw4RbzRI9ovM54u66zOlqqvRk3BE3PlD+Fpl+md/ZJ9nJAGsnsLKjOGPzOGKmTwClldCY4ltNQjOwUofU6L6ZRrQHnTW5Cr3swZaM52Q3uz3tNI9rAQhBBYhsTzvdDhYiNAKUWm6JIt6upnORKWQSpmkIqZNTcrli/pKaUoej6jWZtd3Wk2tSXI2R4npvM8PpohHWtfdFLk+4oZ20WiLehixsr6QJtSE+G2hMV4tkje8fQkwPXpaanB57eG8UsVs3rTsnGlGRCmFfYlCGkg0x3406Oh4wN2QUckx9OlU608tl/MIqxkxUpVhAgbAsEq6xqfRi1QSqF8H7/kmhUQX9dxQKnQr7eZEEKEdmi19vdEBHgNUPfHXjZYh4lwDVaAQdunGd1b8caOgmvjjx8HK4HRMYCw4qhS85moIXhCBziUGuDmkHIhRLhk6pX5J+ulzR5EohVv6hTYeVR+Wie+Ba+Np5Gdg8v+kgSG3LASul/FeFYv87YnY6ed7GEhmFIC3obxBs7bLuPZYgVhj5uSdNwqkd767olA6hJACEGm6JF3PPpadMNXKmawuzvNaMbm5EyBbR2pBY9T9HzuPzF770sBLTGTdNwgZen/tjRwnkvBNCS9rQkyRX19crbLaIYlSXAtZ+EXAgLcWGy5cm2QxpKJbjLdiYi34OemENJAtPfrMawKOVeujT92HAwT2dGPLJHkCBHWOyp6hjZABdgrPfNByyKDQhhoD37D91dEDmGYJlKpmld5IwK8TCilEKiSlqTWim6dEghRVq0o+dstN+pTWHGM3h34mXHdbOYU8EYOI1o6w+qNTHcsuR+ls1n19lWqKot1ggorjtmzTUse8jM6KhkQqQ5kYvkPJ+X7Wq+Ijjpu9pdtMlfEV1pj2Z48vRrCFoNp6Ovoeuu7AuwrxUS2GPr0SiFoS1qkY2ZDXr1TBYejEzrqOGlJutMxetKa8JpSIBDYnk9SGvi+QkrBpvYEp2aK9LckSMWqf2cFkLQknq8jsX0F00WX6aILzPp1Jy1JW9yiOx2jM2U1RX8thKA1YWFIwchMgZztMlPQUcyLvAhYePyq0P/WQYCV8lGnDuoJecn+kFgSke5ApDsRbT2QaJn3PRamNS/Zsup33XP1ypnnzGqJ23qj2OQIGwrrXdPueV7YJBtUYn3Pw3GcsEobRKwby1jJXgi+71Ms1BaCExHgBuG5Lm6pupg2IJ2UgL7wKzKgBo1rgWa3CaEQwjAx2vv+f/bePE6Oqtz//5xTWy/T07NlZjLZVxIS1rDIooAgqIALKG54QRH1KtsFFdH7/YrfnxfE68J1vyoIVxQUAXHhqqAsIighbGFLSMieTGbvnt5qO+f3x6mqqd5munt6ZnqSer9e80q6urqWU6eqnvOc5/k84E2tYCP7hTxaakh8p0Yqiv+1feEPpW5MSumE0x1EDUOqINSiWlzj1z2GeiIUA8T226JVloed5cjOQKeRPcCGxTCQysJ0jPRYSEFLWAWtwYtq2Qw7R7IYSBtoiyhoCSvYm8hh22BGDH6ceNqIKmEwbWB+S9hz0syLh7BrOIusaZc1gEOKhGMWCKUTxjmypo20LjR8M6aNlG7DsBmyJkPW1LE/pUORCJZ3RD0DfLJEVBltUQ1DaR0jGQORGgcJAJwiO9XF/3LOwLY8DZ7sz//CyArFmuF94rMSAmnrAZ2zqGrvMtEikOYsAUv2i6TiTAK2nobUMrdmT3VAwHRQWGiqkbFtG5IkQfHJJHpa3k74AyxLVImdAgO4GgIDuAb8YvBUkjCSMaBbDLGQghAlsG0LYZkga5X2kNTUfSkFbJ8BXEcjm0gKaNs88OwoWLIfYBZI0/jSY64WqO0ameN0ZLeK1HTCnSx1AFNSizyRFXHFUU0+YJPeyuHakKzCGYzpJq1bGEzlwAFIhKAjFprUNTJsjpzJsKQtgjlOiENMk7FlII2BlIF4SEFElRCSKUayJuY2h7xEQZlSRDUJiZyJ9qg6oRwQJQRRVUZUlQGMGbeGzZDSLQxnTAykdRg2x6a+FKLzhUpFPWjSZKRyJgybIWfaaKrRAOY+9YdK7zs+uFsYv1QCnb8apHWuyHnIjgLpEfDUEPjoIGDmwPe/Dnv/6yDNHaA9K0GqkEkklEJq6QILx8BGegHbdBRpukAi8YY3LgIOTjyVpVnQPwmKZ4f82t22oyLTCOcSGMA14IrAe+59EJgM4CBQVBXcMBGRzbIGcE0xPF4inJX/uU4QQkAizUJyjFkTen/daQ6guDJeI5A3Yq5zwoth2cg5iW/x8aaKD1Bcz6/SYIlEnHMksqY3OAkpEjqatElX4ZMlgoWtYTRpY49LRaLQLYZ4SAHnHIpEhWc4mUNfSsfc5hAoITBtBgLi3fK1PvSFrJqKtoiKJe0RbNyXRDJnYetAGmvnNk/q/FxE0qr4/3jhFRO9jMcKYFR2b3Bmg+3bIvbbsxJ0zqKxY1I0wAlv4MwGT/aD9+0AHx0ATw7ATg4Ij/CCNRXNWLlQLQIyZzHYSC94bhQssR/EyApDuMH6dUCARwMYjRNBJQmWacI0DDH7635BCOAUo5qKWVlv/5RCC1UmvRgYwDXAnczGchBKINW7n7oeX1dyrMbqShNBKAXo+C8Sxliepu5EFaFmAu62U5nQjMmQzIlzj6jSAa/6UArTGdg10rlzLhIS3bCUWEhBa6Q+SY+qJIpf+PfFuEiGi6hj4T1tERVpw8b2oQyiqoSoKiNt2DBtho5I/e5XSghWzmnChl0jGM6aGMoYaIvUZyDmVr0bL1RkQm+UJQYgRK7snHn/TsDIAooG0rGw7HqESiAt3UBLN7ieAdv3mvAcD+2FnRwEXXw4aLyzon2K7VHQ1rngKQ1sdAA8m4Rt5iC19kzZ8zUgoBa8e26Gj6MSJEkCOIfl5P54+JL46p2Q7sdVn6qExnmDzSIIId7UfymYzWBVEB5ZzQRyXiKcGp6xxA1/OWFKaV01deuJOz1f70INls2Qdoys5tDB5/0FRPEIoHEMYM45Bn3Gb1tUq0tcdqlqjW4Iw3DGACUELWHFW0eVKRa3RdCkydjUl8JzexJ4cV8SHVEVEVWqqyZtWJHQExdejm2Dmbptu5L7xj+4LPm95YRAVFJExzLB9r0m9tmzEqTC3AaiRSAtPgLSqpOAUBNg6WBb1sPesbFIV3zc7RACGmuH1L5AKOtYBuyBHWDpkUBDOKBxmEUKEIBQY1A1DbKiiGQ4RYHihkI20H3VmNZLg6MoCgzDAMvlQCmFSjggE0hOEhznHKPVlIarBJ8BXOlLYirgjHkvwKmQMalXycSJXtI1bZNzDKREdqkmU2gHWeyvS6MZwMmc6Q1KOpo0RLXJzUiU8nC6qg7usr2JHNqi+UoMnHNIlODQrhhylo1R3UJ7RJ2ydlrQEsb+UR0Z00Z/ykBnbPJey7nxCBjnUMaZwhrPA8yZLdQWAFF1cgJ4/w6h/hJqAmmfX/XxkmgLpNUng+15FbxvO/jATtgjvaBLjgItUIYYdztaBNKcRWAj+4R3ObEfyCaFN3gGn7cBAcCYs2x2mL8CVwbVj0UpOGPjVpGcThrjDTbLoJIETdNAJeHVkSkQlomQQ5MkSIo6bmnkyU5n8OyoV6ltuvFr/tajnDBzpMqYbde1XvhUJA1YjHtFFA7G2F9AxD/bvHFCIGzGkMiIKfe26OSMX9fj606hmTbD64NpPP76IEZyY17FZM5EzrLR1SQ8sFnTxo6hjNfXJCoS2bqnuDCKIlG0OvJ7Sb38jFQ1yBKFKpdXbckre15OagwACK1oloo7cmekpSt/lqsKCJUgLVgDuuJ4QIsKbfPdr1S/HUkGbZsP2jxHeNqMrEgKDgiYaWaZB7gcbj6GWzxrppn5N9gshVAKRVGgahoyNsFgjsGCVJHeLPeVDq4U7sTVubJCzClWMd24xz5Z49eyLOi5HAxdh21ZMAwDpmHU7cbwqnTVUapLpsRTE0gb9TE4ZhujvvjnWiTF6s1ozgKHiNP1J6lVg9+gI4RgNGfixX1J/GPHMJI5CyvmRNHi03keyZqIaTIsxvDC3gQ27BrBYMaYEVm4tCHul+bQ9HtTSj6/vGUVapw7ajN8dHDSx0ObOyCtOE58yKXAefXXgxAC2tQmQiIAUaDHV2o5IGBGmOWGr0sjKD/4mXkf9EGIF2dXRdlVN7GExjrENF02CT4DIu6sRgPY9azZjiA2OB9Tj3BuCtuyYJomtDpkh7rlF+tZe5wQgnhYRc7MImtYdfVYzwZMR4oLAGINEP/MOUdaFwZ5LFx7OI77u/2jOeweySFr2uiIqjiipxnNoXyPMuMce5M5mDbHcNZEZ5OGVZ0xqPL0+xJ0iyHjqJG0TlMhlgn1SP1l2yu4P0hrN7DrJSF1pmcmr8erhsc00/UsUGNBHaKGQSJxoRWc2A+pY9FBda8HNCgNFD9bKYyxMXuhyiJgU01gAM8AVcenWgaEsDwRCR+yClgGeDZZlQbmZJmMGDchxFOPkJzkuaJsTVmGrev5N0yNjFeBbjJoMgUhAONCm1U7SMofA8CIE2oQVqSG0D7OWTYsxkGIKORQK4xzbO5PYShtoiceQnezhlCZ62raHJ1NGiKqhO5YZVI7U8WII/fWpE2fGsmEoUXVPheUEEisHXx0EHx4H0j3skkdHyFEhEHkRoVBPYmKkjTWATs7Cpg6eC4FEo5N6tgCAg4mOOcwdB2cc6iaJoplzfRBFRCEQNSAW2ShFu+iP4auYg+wG/4gi05EIy0AAJZOVL3/ycB8oRu1GJTMtkVxAlkuWTmunoaqfzv1HG0SQjzjKFOnuMvZgG7ZyDhhHy11ktyaLOmcOJ6oKk9K7YMSgoUtERy/qBWL2yJljV9ADICWtkdn3PgFgOGs8H63TiIevdp7oyoDuMIQBNLaAwBgQ3urOpay21Oda2NkJrcdSQZxysGz9PAkjyog4OCCEOI9Dwxdh66PlXWfag9wpe+DwACuAcYYTMPw5MCq/a1LxVWSnAe5q01JIo7wvaWD29NnhLFJKiu4tb8LDX93QGE5tcLrYQQTQrzjtEyzvhJUjrcxmTMxktEbZjpnqjAsG31JkXQZUWWoDeL1zpqi7zdNUvUBEDHNUgPENFeKxTiG0q4BXPn5c85h2gw504Jls6rvtYmTSwm89F5WWTw/ae0Wv8kmhfrCJOBGDjyTqGr/4+E6G2Bk65pPEBBQDdVF1jcOfhUIzhisaUh+syyr4sJcgQE8zbhJXpVeIO6WAwVElTaIrOexwhjTYwAzxsbKHtdoAFNJAvN5zpkjh+KWliZ1Fsh2a5EzxmA4oRX1oEmTvYSrRNZE32iuYcsCTxbDsrE/mQXjXFQjizZGgQDmFKMAAGUG4m9nmt5kDjbnCCu0qgS4gVQOfcksBlI69oxkMJjKwbDsug3iCCGA44GtNHmMyCpI1xIAANv1Sk3JawDA9QzsTU+IkDElBNLWU9N28jfqHIvPmxUQMN24zpzZNgiTJAmqpnn2jmv/TGW1RduyYFdoaB98b44ZxPV0Aqi4DCA3MsKTQSUQzRfPRsVLj0/DiIozBsNwqjuV0ParFNmJ+zUNA3ouB8s0YZkmmG2DSlLdq8NQSqFqGkCIF49kjVPApFIIIWhvCqGjSQMBkDNt9CWzYOzAMoJ1z/gVKgudzeGG8ZK6FcsI6l/spNExbYZdI8K4nN8SrvieGU7rMCyGjqYQOmOi/2ZNG/0pkfhXNyNYDQMQBmml0LnLRW6Dngbv21H1PnkmAfvVJ0RFOS0C6ZATQJTJh6l4RTXkqatcFRAwEZ6qUYniPI0MIQSU0qJqsfWQUC2HqNRZWRsFBvA04h+9VdwBDDH1TLRI3gOYSNPjAfYqvznxuao2uQpbiqpClmVIkgRCKWSnYkwl8nG1QCkVms2+cAg3MH+yRDUFXfEwKBEZ+ftHs55hNtsxbSaMei4qnHU1kPELjOlRN9IxTRe7RrKwnDLMXU2VeeQZ59AtG7GQAk2RoMoSopqCeS0RKJRiYFQYwfWAqELJoRr5MCIpoD2HiGPdu9mb9ZoIzhlY3zbYm/4BWDoQjgnjd7JqEi5uWWepMeLeAw5OpiqnZboodJxNpQFMCPH0hiciMICnEb/3t+L4X6fgRZE3w/EAY4pjgP0hC/Xw0BJCxkojOmUSp9qz4oZWuJVnGGOeB3qyDxNNltDZLIxgw2LYn8zAsBpD5LtWLL/xK1F0xcINofnrx3IGGnIdHqQDKR07hjOzQts5pVvYmxDPhCVtkYrvHerE1vsHaG7SaWdzGE0hxQuHmCyuBxi2CW5VUZa4YwHQ1AYwC/bWp8sa0NwywPq2w978D9gv/AVs18sAs0Bi7XXz/Pr3BQCQp0dmLiCgFP7cmNloAAMi+d1lKg1gRVEq3n4ggzaNuIZkNSEE3BSZk8UGsNgGr0OiR9l9u95fiPCFqey0Uw0hBLKigEoSTNMUAflOrJDiLK8VTZbQ1RxB32gWps2xL5FFWJHQHFYd2bTGMh7LwTnHaM7ESMYAhyj80dkcajjjF4AXblKPY9uf0jGUMWFYDCvmNE16e1MB5xz7R3VsHUyDQyS+Vav9G5IlJLIGNEVCRBUDT9cIjocVZA0Lhs0mneRIKBV6vEYWLD0MKd5Z2e8IgbT0aNiv/h3QM7BfehSkczFIU5swphP94JkRIJfO/6GsgvasBOlYWNd7jdsWeC4ljk0OPMABMwul1FOfqjUMcSahTvEw1CnRvex+JAlmhaGOgQE8jXj1vKu5+G4SRmHBC8fzO5V16t14WddreyBAKYWqqp7qBOcchmGIcAxJqso770eVKbqbwxjO6MgYNrKmjayZ9arHqbIERSKQJQppih8A1cI4R1q3kMganodQkynam0IVTyVNN67hW4+467nNIQxlTPSO6tBkioWtdZo+rxNZ08Zr/SkkHNm3eEjGIZ1NVfehWEiB6ZSOthlHLDQWdiRRClmisOzx27PSPdKmNrChPeDpYfBI3FOwmQiiaJBWHAd7+/OiOEbvVnBsLV4xEgdt6xHGcThW94JAnDHYQ7tF/oWkgIQCDeCAmYVQCtj2rEuE89NodsSMvt0ee+wxnHvuuejp6QEhBL/5zW/yvuec4/rrr0dPTw/C4TBOPfVUvPTSS3nr6LqOyy+/HB0dHYhGo3jHO96B3bt3560zPDyMD3/4w4jH44jH4/jwhz+MkZGRKT67EtQydVGmBvjY1NzUeCb8qg/yFMTnuoan4dMGnC4IIZBlGVoo5I2kOWMwnfhgZteWECRLFHNiYfS0RNCkySAQU/Up3cJQWsf+ZA57hjPYOZTG7uE09o6ksW8kg95EFv2jWQyldSSyBtK6Bd20YdkMjE1d0oNpMwxndOwZzmAorcNmHBIhaItq6GoOT1txhVqQHQO4HuWH2yIqFrcJo3fHcBZ7Hcm3RmAwbeDZPQkkchYoARa3RXDY3Oaqrs2Y7jhBc0iBIlOkciYGUjmvj2VN0edCSoXa5BN8T0NNXtIuS/RV1YdJqAnSISeCLl0H0tIliv+Em0G6loEuPxbS4adDXn0yaNdSkGhL/Y1f24I9uAswdYBKkNrnT2nWekBAJbgzsG5xp4DJM6PmeDqdxhFHHIGPfOQjOP/884u+/9rXvoZvfvObuO2227By5Up85StfwVve8hZs2rQJsZgYkV911VX43e9+h7vuugvt7e245pprcM4552DDhg2ecfPBD34Qu3fvxh//+EcAwMc//nF8+MMfxu9+97vpO9la8cvwuIs4B2w3OWNqYtMsJ/SBUjploQ+uJMpMlRT2YoM5h21ZsCxrzCPsBO0T5/yrOT5FEt7T1ghHzrKhmzZMm8G0mRe7ajMO5+x9vywfzkKJ8NJJlHiqB35NVvE98daRCHE+E2+qm3HAtG3kTOZNd7tIjnHUFFJmhaqC65m2WWUldydiQUsYjHPsHM5i60AaEUVCyzSVFy6FzTi2DaWxLykGiDFNeH3DFVbgc5Pewkp+qIMqS2iJEKR1C1nDxp6RjOgjEB7ikDLBK6GKdqbxTth928GNDHh6WHhrK4QQIvSBW7sr/k094HoG9sg+McNGKKS2eUH4Q0BDkJcIx9hYInyAR7UqGTNqAL/tbW/D2972tpLfcc5x880344tf/CLOO+88AMDtt9+Orq4u/OIXv8AnPvEJJBIJ3HLLLfjZz36GM844AwBwxx13YMGCBXjooYdw1lln4ZVXXsEf//hH/OMf/8Dxxx8PAPjxj3+ME044AZs2bcIhhxwyLedaSxnhvAtJfEYos8c8w1OQnOGvcjcV3t9Gw40PlmQZlmnCdjzAfsk01yAulHMZD0oJIqqcV6aXcy6MX+dG5VwYKzYTfxbjsBjzPrswDjCboZZE/fFE1EOKhCZNQUStLfRjpnA9wByibaQ6HPrClrCQtEsZeGX/KI6aF5+Rks/DGQOv9aehOwOUnuYQlrRHqhqY9I/mkDOF6kNbVPOMYEAkDsbDKqIqg8XEoEyVaHWxvxW8ZIisgsY7wRL7wZL9IGp4LEGuAbETfeBuxTdJEZ7fwPgNaBAIIZ6Wvs3YpPJWDkT8pZcrnVlurIAMH9u2bUNvby/OPPNMb5mmaTjllFPwxBNP4BOf+AQ2bNgA0zTz1unp6cHatWvxxBNP4KyzzsKTTz6JeDzuGb8A8IY3vAHxeBxPPPFEWQNYLyjdl0iI6kLJZNILDyCEQNd1mDkT3LKRhQGYsvBK6TpACJJJ8RLjnHteVd3xME4E5xzMlgDOQUdHQRwjmNsWmC0DzIY0mqq0SSuGMSYKU1AKo4Zqd5VQS3tMF/5S14wx72UvOVrFU4Xk/Glk7IOraegaxDYb0zj0ZwUzzsF869hc/BXtgxBosuQlQklgsHUTo9MfiTJpmJ4DIQTJpF03ObROlaPPSINKFNm0BGMGEgBzuoWhkSRUmWBZRxNaVRup0cpkwQDAYIBhE2gUSOcMZHQDUYl7gwTOix25OedvIphtw7ZtETNfwUuGcwJmAOA2aDoLkpua50k9YOkM2GgKJNwMGmkFyVTaKgEB04NtWbCdJLjZmAg3lbg2hW3bSKVS3rLxaFgDuLe3FwDQ1dWVt7yrqws7duzw1lFVFa2trUXruL/v7e1FZ2dxFnJnZ6e3TiluvPFGfPnLXy5avmDBgupOJCAgICAgICAgYFoZHR1FPB4v+33DGsAuhZ7BSuL9Ctcptf5E27nuuutw9dVXe58ZYxgaGkJ7e/uMeiuTySQWLFiAXbt2obm5ecaOo5EI2qSYoE2KCdqkmKBNignapJigTfIJ2qOYRmoTzjlGR0fR0zN+OfSGNYC7u0XyQ29vL+bOnest7+vr87zC3d3dMAwDw8PDeV7gvr4+nHjiid46+/fvL9p+f39/kXfZj6Zp0LR86Z6Wlpaaz6feNDc3z3gnazSCNikmaJNigjYpJmiTYoI2KSZok3yC9iimUdpkPM+vS8NquyxZsgTd3d148MEHvWWGYeDRRx/1jNt169ZBUZS8dfbt24cXX3zRW+eEE05AIpHAU0895a3zz3/+E4lEwlsnICAgICAgICDg4GFGPcCpVApbtmzxPm/btg3PPfcc2trasHDhQlx11VW44YYbsGLFCqxYsQI33HADIpEIPvjBDwIQFv4ll1yCa665Bu3t7Whra8NnPvMZHHbYYZ4qxOrVq/HWt74Vl156Kf77v/8bgJBBO+ecc6ZNASIgICAgICAgIKBxmFED+Omnn8Zpp53mfXZjbi+66CLcdttt+NznPodsNotPfepTGB4exvHHH48///nPngYwAHzrW9+CLMu44IILkM1mcfrpp+O2227Ly5D8+c9/jiuuuMJTi3jHO96B7373u9N0lvVF0zR86UtfKgrPOJgJ2qSYoE2KCdqkmKBNignapJigTfIJ2qOY2dgmhAclRQICAgICAgICAg4iGjYGOCAgICAgICAgIGAqCAzggICAgICAgICAg4rAAA4ICAgICAgICDioCAzggICAgICAgICAg4rAAJ5FbN68Ge985zvR0dGB5uZmnHTSSXj44Yfz1tm5cyfOPfdcRKNRdHR04IorroBhGDN0xNPDH/7wBxx//PEIh8Po6OjAeeedl/f9wdgmAKDrOo488kgQQvDcc8/lfXcwtcn27dtxySWXYMmSJQiHw1i2bBm+9KUvFZ3vwdQmAPD9738fS5YsQSgUwrp16/C3v/1tpg9p2rjxxhtx7LHHIhaLobOzE+9617uwadOmvHU457j++uvR09ODcDiMU089FS+99NIMHfH0cuONN4IQgquuuspbdrC2x549e3DhhReivb0dkUgERx55JDZs2OB9fzC1i2VZ+Pd//3fvWbp06VL8v//3/8AY89aZVe3BA2YNy5cv529/+9v5888/zzdv3sw/9alP8Ugkwvft28c559yyLL527Vp+2mmn8WeeeYY/+OCDvKenh1922WUzfORTx69//Wve2trKf/CDH/BNmzbxV199ld99993e9wdjm7hcccUV/G1vexsHwJ999llv+cHWJv/7v//LL774Yv6nP/2Jb926ld9///28s7OTX3PNNd46B1ub3HXXXVxRFP7jH/+Yv/zyy/zKK6/k0WiU79ixY6YPbVo466yz+E9/+lP+4osv8ueee46fffbZfOHChTyVSnnrfPWrX+WxWIzfc889fOPGjfx973sfnzt3Lk8mkzN45FPPU089xRcvXswPP/xwfuWVV3rLD8b2GBoa4osWLeIXX3wx/+c//8m3bdvGH3roIb5lyxZvnYOpXb7yla/w9vZ2/vvf/55v27aN33333bypqYnffPPN3jqzqT0CA3iW0N/fzwHwxx57zFuWTCY5AP7QQw9xzjl/4IEHOKWU79mzx1vnzjvv5Jqm8UQiMe3HPNWYpsnnzZvHf/KTn5Rd52BrE5cHHniAr1q1ir/00ktFBvDB2iZ+vva1r/ElS5Z4nw+2NjnuuOP4Jz/5ybxlq1at4p///Odn6Ihmlr6+Pg6AP/roo5xzzhljvLu7m3/1q1/11snlcjwej/Mf/vCHM3WYU87o6ChfsWIFf/DBB/kpp5ziGcAHa3tce+21/OSTTy77/cHWLmeffTb/6Ec/mrfsvPPO4xdeeCHnfPa1RxACMUtob2/H6tWr8T//8z9Ip9OwLAv//d//ja6uLqxbtw4A8OSTT2Lt2rXo6enxfnfWWWdB1/W8KZsDhWeeeQZ79uwBpRRHHXUU5s6di7e97W150y0HW5sAwP79+3HppZfiZz/7GSKRSNH3B2ObFJJIJNDW1uZ9PpjaxDAMbNiwwSsM5HLmmWfiiSeemKGjmlkSiQQAeH1i27Zt6O3tzWsjTdNwyimnHNBt9OlPfxpnn322V0nV5WBtj9/+9rc45phj8N73vhednZ046qij8OMf/9j7/mBrl5NPPhl/+ctfsHnzZgDA888/j8cffxxvf/vbAcy+9pjRSnABlUMIwYMPPoh3vvOdiMVioJSiq6sLf/zjH9HS0gIA6O3tRVdXV97vWltboaoqent7Z+Cop5bXX38dAHD99dfjm9/8JhYvXoxvfOMbOOWUU7B582a0tbUddG3COcfFF1+MT37ykzjmmGOwffv2onUOtjYpZOvWrfjOd76Db3zjG96yg6lNBgYGYNt20fl2dXUdcOdaCZxzXH311Tj55JOxdu1aAPDaoVQb7dixY9qPcTq466678Mwzz2D9+vVF3x2M7QGId8wPfvADXH311fjCF76Ap556CldccQU0TcO//Mu/HHTtcu211yKRSGDVqlWQJAm2beM//uM/8IEPfADA7OsngQd4hrn++utBCBn37+mnnwbnHJ/61KfQ2dmJv/3tb3jqqafwzne+E+eccw727dvnbY8QUrQPznnJ5Y1KpW3iBt5/8YtfxPnnn49169bhpz/9KQghuPvuu73tHUxt8p3vfAfJZBLXXXfduNs7mNrEz969e/HWt74V733ve/Gxj30s77sDoU2qofC8DuRzHY/LLrsML7zwAu68886i7w6WNtq1axeuvPJK3HHHHQiFQmXXO1jaw4UxhqOPPho33HADjjrqKHziE5/ApZdeih/84Ad56x0s7fLLX/4Sd9xxB37xi1/gmWeewe23346vf/3ruP322/PWmy3tEXiAZ5jLLrsM73//+8ddZ/HixfjrX/+K3//+9xgeHkZzczMAkcX94IMP4vbbb8fnP/95dHd345///Gfeb4eHh2GaZtGIrJGptE1GR0cBAIceeqi3XNM0LF26FDt37gSAg65NvvKVr+Af//hHUT32Y445Bh/60Idw++23H3Rt4rJ3716cdtppOOGEE/CjH/0ob70DpU0qoaOjA5IkFXl7+/r6DrhznYjLL78cv/3tb/HYY49h/vz53vLu7m4AwqM1d+5cb/mB2kYbNmxAX1+fF04HALZt47HHHsN3v/tdTyHjYGkPl7lz5+a9XwBg9erVuOeeewAcfP3ks5/9LD7/+c97z93DDjsMO3bswI033oiLLrpo1rVHYADPMB0dHejo6JhwvUwmAwCgNN9pTyn1PKEnnHAC/uM//gP79u3zOt+f//xnaJqW92BrdCptk3Xr1kHTNGzatAknn3wyAMA0TWzfvh2LFi0CcPC1ybe//W185Stf8T7v3bsXZ511Fn75y1/i+OOPB3DwtQkgpIxOO+00b5ag8D46UNqkElRVxbp16/Dggw/i3e9+t7fcDbE6GOCc4/LLL8d9992HRx55BEuWLMn7fsmSJeju7saDDz6Io446CoCInX700Udx0003zcQhTymnn346Nm7cmLfsIx/5CFatWoVrr70WS5cuPajaw+Wkk04qksfbvHmz93452PpJJpMpenZKkuTZILOuPWYk9S6gavr7+3l7ezs/77zz+HPPPcc3bdrEP/OZz3BFUfhzzz3HOR+Tcjr99NP5M888wx966CE+f/78A1bKiXPOr7zySj5v3jz+pz/9ib/66qv8kksu4Z2dnXxoaIhzfmC1yU9/+lMOgAPgDz/8cNH3jDG+bNkyDoCfcsopnHPOt23bVlYGbTa0yd///nf+pS99iQ8PD9e8jT179vDly5fzN7/5zXz37t1837593p9LrW1y11138UMPPZSHQiGvnd3rtG3btpqPuRa+9KUvcQC8v79/wnVdGbRbbrmFv/zyy/yqq67i0WiUb9++fcLf1tIPJ/M7l+eff55ffPHFfPHixVzTNB6NRvlRRx3Fb7rpJj44ODjuMV900UXevtesWcP/9V//lcfjcW9ZLX/r168vu33Oed22PR5f/vKX+erVq7lt20XtXOk2/Pj7rl8FgnMhbxWPx/m9997LN27cyD/wgQ/kyVv95Cc/4T09PXlScrOdp556isuyzP/jP/6Dv/baa/znP/85j0Qi/I477vDWmahdDiQuuugiPm/ePE8G7d577+UdHR38c5/7nLfObGqPwACeRaxfv56feeaZvK2tjcdiMf6GN7yBP/DAA3nr7Nixg5999tk8HA7ztrY2ftlll/FcLjdDRzz1GIbBr7nmGt7Z2cljsRg/44wz+Isvvpi3zoHSJu7LKRaLebIzfh5++GHv+/EMYM5nT5v853/+56SNSb/hVfjnp9o26evr44qi8HPPPZc/8sgj/Mknn+TpdHpWGMCcc/69732PL1q0iKuqyo8++mhPAmwiaumHk/kd55z/6Ec/4rIs8zVr1vDvfe97/OGHH+Z//vOf+Q033MCXLFnC3/Wud417zBdddBHv7u7mTz75JH/++efL9oef/vSn3m8YY/xLX/oS7+7u5pqm8RNOOIHfcccd/N///d9LGsD+7VfL0NAQf/LJJ0tuuxx79uzh0Wg0T/ec86kzgAvb401vehPfuHGj971pmnzFihX8//7f/1v1fhuZ3/3ud3zt2rVc0zS+atUq/qMf/Sjv+4na5UAimUzyK6+8ki9cuJCHQiG+dOlS/sUvfpHruu6tM5vaIzCAAwJmCe7L6WMf+xgPh8NF+rQXXnghP+GEE/iaNWtKetBmI/UwgKeKxx9/nAPgv/zlL/OWzxYDuFZq7Ye1/u6JJ57gkiTxt771rSUHJLqu8/vvv3/cY77ooov4okWLqj7XUpQyMOu1/WqM18997nN83rx5ed7fardRbv+19t2vf/3rPB6P83Q6XdPvAwKmk0AFIiBgluFKzviz1hOJBO655x589KMfLfmbxx9/HKeffjpisRgikQhOPPFE/OEPf8hbx1VVeOGFF/De974X8XgcbW1tuPrqq2FZFjZt2oS3vvWtiMViWLx4Mb72ta8V7ee1117DBz/4QXR2dkLTNKxevRrf+973itZz9/XSSy/hAx/4AOLxOLq6uvDRj37U02S9/vrr8dnPfhaAiC1zlR0eeeQRAMDFF1+cl+RWuO16nlchF198sRd3/r73vQ+EEJx66qll163kOHO5HI466igsX77cawNAJJR0d3fj1FNPhW3bEx7brl27cN5556G5uRnxeBwXXngh+vv7ve//9re/gRBSUvXgf/7nf0AIKSmFVUgt/bCW391www0ghOBHP/pRUXInIGKa3/GOd0x4vOPR2dmJT33qU0XLjzvuOE/jtBbOPvtsLFu2rGg55xzHHnssTjrppJq2axgGbrnlFnzwgx8sisksRaV9sJBq+8qHPvQhJJNJ3HXXXZWdSEDADBIYwAEBs4zm5ma85z3vwa233uotu/POO0Epxfve976i9R999FG8+c1vRiKRwC233II777wTsVgM5557Ln75y18WrX/BBRfgiCOOwD333INLL70U3/rWt/Bv//ZveNe73oWzzz4b9913H9785jfj2muvxb333uv97uWXX8axxx6LF198Ed/4xjfw+9//HmeffTauuOIKfPnLXy55Lueffz5WrlyJe+65B5///Ofxi1/8Av/2b/8GAPjYxz6Gyy+/HABw77334sknn8STTz6Jo48+uqZ2q/W8SvF//s//8Qz7G264AU8++SS+//3v13RcLqFQCL/61a/Q19fnGYKMMXzoQx8C5xx33nknJEmacDvvfve7sXz5cvz617/G9ddfj9/85jc466yzYJomAOCNb3wjjjrqqJIDk+9+97s49thjceyxx064n2r7YS2/s20bf/3rX7Fu3TosWLBgwmOqhR07dqC/v7+oX1mWhRdeeKHm/gYARx55JLZt24ZUKpW3/H/+53+wYcMG/Nd//VdN2/3nP/+JwcFBnHbaaTUfWyVU21e6u7uxatWqosF1QEAjEqhABATMQj760Y/itNNOw0svvYQ1a9bg1ltvxXvf+17EYrGidT//+c+jtbUVjzzyCJqamgAA55xzDo488kh85jOfwQUXXJDnBfr4xz+Oq6++GgBwxhln4M9//jO++93v4t577/VUA0499VT8/ve/x89//nOcd955AICrr74asVgMjz/+uCfV95a3vAW6ruOrX/0qrrjiCrS2tuYd2yWXXOJ5ec844wxs2bIFt956K2655RbMnz8fCxcuBAAcddRRJT1Y1VDreZVi2bJlnjzSihUr8IY3vGFSx+ayYsUK/OQnP8H73vc+/Nd//ReGhobwyCOP4I9//GOerNB4nHfeeZ4X+8wzz0RXVxc+9KEP4Ve/+hU+9KEPAQCuuOIKfOQjH8Fzzz2HI488EgCwfv16rF+/vkjTczyq6Ye1/G5gYACZTKZIpaGeuFrRhWofL774InRdn5QBfMQRR4BzjpdeeslTYUmn0/jCF76Aiy66CMccc0xN233yyScBYFLHVinV9pWjjz4aDz300JQfV0DAZAk8wAEBs5BTTjkFy5Ytw6233oqNGzdi/fr1JaeP0+k0/vnPf+I973mPZ/wCQrrmwx/+MHbv3l0k83POOefkfV69ejUIIXjb297mLZNlGcuXL/eq++RyOfzlL3/Bu9/9bkQiEViW5f29/e1vRy6Xwz/+8Y+i4yucuj788MORy+XQ19dXfaNMQC3nNRNccMEF+Nd//Vd89rOfxVe+8hV84QtfwFve8paKf+8auf7tybKMhx9+2Fv2gQ98AJ2dnXmeve985zuYM2fOuN7bQirth/X63VTw9NNPQ1VVrwqci1sCe7IGMIA8ibGvfvWrSCaTuOGGG2re7t69e0EIqVgGcDJU21c6OzvR19cHy7Km/NgCAiZDYAAHBMxCCCH4yEc+gjvuuAM//OEPsXLlSrzxjW8sWm94eBic85Lew56eHgDA4OBg3vK2tra8z6qqIhKJFFWIUlUVuVzO24ZlWfjOd74DRVHy/twYyoGBgaJjaG9vz/vsxnhms9lxz78WajmvmeKjH/0oTNOELMu44oorqvqtK0bvIssy2tvb866zpmn4xCc+gV/84hcYGRlBf38/fvWrX+FjH/tYyTjbclTaD2v9XUdHByKRCLZt21bxMVXL+vXrcdhhh0FRlLzlGzZsQFtb26RmHlasWIFIJOIZwLt27cI3vvENfOELX6jYo1+KbDYLRVEqComZLNX2lVAoBM75jN9DAQETERjAAQGzlIsvvhgDAwP44Q9/iI985CMl12ltbQWlNK9ctsvevXsBoC5epNbWVkiShIsvvtibHi38m0wyUSlCoRB0XS9aXsrQnkmqPc50Oo0Pf/jDWLlyJcLhcFHJ5okorPBmWRYGBweLBhv/+q//CtM0ceutt+LHP/4xLMvCJz/5yar2BVTWD2v9nSRJOP3007Fhwwbs3r276mOrhGeffbakl/fBBx+cdIgBpRRr1671DOBrr70W3d3dXihOrXR0dMAwDKTT6YrWn+y9Uk1fGRoagqZpeTNOAQGNSBADHBAwS5k3bx4++9nP4tVXX8VFF11Ucp1oNIrjjz8e9957L77+9a8jHA4DEMlVd9xxB+bPn4+VK1dO+lgikQhOO+00PPvsszj88MOhquqktwmM7xFevHgx+vr6sH//fq/MpmEY+NOf/lSXfdeLao/zk5/8JHbu3ImnnnoKr776Kt7znvd4CXuV8POf/zwvnvVXv/oVLMsqUqmYO3cu3vve9+L73/8+DMPAueee68VcV0Ml/XAyv7vuuuvwwAMP4NJLL8X9999f1LdM08Qf//hHnHvuuVUfu2EYGBoawrx58/KW33PPPdiyZcu4ceCVcsQRR+C+++7DP/7xD9x11124++67q/Kyl2LVqlUAgK1bt+Lwww+fcP3J3ivV9JXXX3+9qHxwQEAjEniAAwJmMV/96lfxm9/8Ztzp1BtvvNHLGP/1r3+N3/72t3j729+OF198EV//+tfHlUGqhv/6r//Czp078cY3vhG33XYbHnnkEfzud7/Dt771Lbz5zW+uaZuHHXaYt+0nn3wSTz/9NEZHRwEI+TFJkvD+978fDzzwAO69916ceeaZFUmFTSfVHOdPfvIT3HHHHfje976HNWvW4Pzzz8dll12Ga6+9Fk899VRF+7v33nvxuc99Dg8++CBuvvlmfOITn8ARRxyBCy64oGjdK6+8Elu3bsWuXbtw2WWX1XyOlfTDWn93wgkn4Ac/+AEeeughrFu3Dt///vfx6KOP4qGHHsJ//ud/4tBDD81TlKgGVVWxdOlS3H///di6dSv27t2L73//+7jmmmsA1CfJ7IgjjsDAwAA++tGP4k1vehPOP//8SW/THcyUiqt38d/X9bhXKukrjDE89dRTU65OERBQDwIDOCDgAOeUU07BX//6V0SjUVx88cV4//vfj0Qigd/+9rdVJTxNxKGHHopnnnkGa9euxb//+7/jzDPPxCWXXIJf//rXOP3002va5qmnnorrrrsOv/vd73DyySfj2GOP9ZKTlixZgvvvvx8jIyN4z3veg89+9rN473vfi3/5l3+p2znVg0qPc+PGjbjiiitw0UUX4eKLL/aWf/3rX8fhhx+O973vfRgZGZlwf/feey9effVVnHfeefi///f/IhKJ4LjjjivplT/uuOOwePFirF69uuZrNB1ceumlePrpp7Fu3TrcdNNNOPPMM/Gud70Ld955Jz74wQ/iRz/6Uc3bvv3222HbNtasWYOTTjoJ27dvx3XXXQegfgYwAGzatAk333zzpLcHAAsWLMAb3/hG3H///UXfZTIZAMjzMtfjXqmkrzzyyCNIJBJFiZgBAQ3JjJbhCAgICAiYUgpL2vpxywJ/73vf45yPlSMeHh6evgOcBtxKbaZpcsuyatoGY4ybpslvueWWspXgat3+eNsux69//WsuSRLfvXt33vIrrriCU0p5Mpms+jjGo7CvlOLCCy/kJ554Yl33GxAwVQQe4ICAgICDjK1bt+Kvf/0rPv7xj2Pu3Ll5HucDlR07dkBRFM8jWy33338/FEXBJZdcUvftT7TtUpx33nk49thjceONNwIQqhU//OEPceutt+Id73jHhFrMlVJpX9m6dSt++ctf4qabbqrLfgMCphrCOeczfRABAQEBAVPDqaeeiiOPPBI333wz7rjjDtx88814/vnnYVkW4vE47rjjDpxzzjnYvn17UcGJiy66CLfddtvMHHgd2b59u6d4EA6HsWbNmqq3MTIygi1btnifDz30UEQikbpsf7xtj8eLL76I3/72t/j85z+PZcuWIZFI4G1vexu+/e1vF6l+1MrFF1+Mn/3sZ1i9ejX++7//u2z55ocffhivvfYaPv7xj9dlvwEBU01gAAcEBAQcwPgN4FtvvRVz587FIYccgr6+Pvzbv/0bWltb8cADD8C2bdx///04//zzsWnTJjQ3NyMcDiMej8/0KQQEBATUnUAGLSAgIOAgwV9tbenSpfj2t7+N4447DqlUCk1NTV6xkM7OTrS0tMzQUQYEBARMPUEMcEBAQMBBwrPPPot3vvOdWLRoEWKxmCentXPnzpk9sICAgIBpJjCAAwICAg4C0uk0zjzzTDQ1NeGOO+7A+vXrcd999wEQRRECAgICDiaCEIiAgICAg4BXX30VAwMD+OpXv4oFCxYAAJ5++um8dVyt4EYrJhIQEBBQbwIDuEIYY9i7dy9isVjdKmcFBAQETDWWZUHXdbS2tkJRFHz961/HRz/6Ubzyyiu4/vrrAQCpVArJZNKLAb777rtx5plnIhQKoampaQaPPiAgIKA6OOcYHR1FT08PKB0n0GFGVYhnEbt27eIAgr8D4C+kqfzPP/gP/tv/up5feelF/MxTT+Z//p/vc3397/i87k5vvXPPejMffup/+YZf/YAD4JIk8Tv/+2b+l1//jLe3tsz4eQR/s//vmGOO4SPDw3zJkiXeMlVV+dduuok/+sgjU7bf9LYX+AXveLv3+cg1q7m+62W+eMG8vPW+9f++yP/0y59ySZJmvK0a6e/kk0/mgwMDfMH8+d6yaDTKv/3tb/M//P73dd3X61u38ksvvTRv2Xnvfjd/9ZVX+OrVq2e8LYK/g+fvqzfeyB95+GGuKIq3bMmSJfyP//u//Cv/3/83pftevHgxTyYS/Nhjj/WWRaNR/sMf/pDffffdJX+za9euce26QAatQhKJBFpaWrBr1y40NzfP9OFMKblsNu+zJEmglIJKUt2939wywJKD4Hqq+EtCQRQNUEIgigaihkGkSU5acA51/2ZQPYXc/CMAKgGEQEnuhbx/K7JLjgdkMQ2s5JKQBraDUQlGj9D1lKwcFGMUphqDLYcAzgFfm9hDe8H19DgHQABZAZE1sR9JBicSbEIx0Z1ICAEIASEEZGxh3v/d9fx/BzOMMRi6PtOHAS0UKnktCABZlmFaVt5yiVIQQmAVhCJwzqHncuJaT+LR3WqPIE0iMKjo65QzxFkSSdoEm4zdY1Em+nKaRPL6+UQQQkCccyj1N934X3N5r7xybVhwL5VCkWVYtp23PVmSwFE+hMRdl3Oe939pnGerIsuwGQNjzFtGKQWlFFZBvwEw1t9LPCcKr8tEFJoHs+V5wjmHZZredSCEgFIqzl0smLXPSM45DF0vuja1knf+znNF1bSS7UIphURp0fNKliRwzmH7+igAWKZZso+WQ1FVSJJU+jiR/6w0DEMcq6pCdu5Ft12yuRwWLVqEkZGRcWUcgxCICnE7Q3Nz8wFvAGuqCs45CCFlb4S60tYBbhngegbcyIAbOcA2fSuY4nM2BVBZGMVUAsAB2wZn1tiLjBAAwlB0H/pSx0IA4sHBdmwEN1KQVp0IVdG887StFDiAJlUCbRLX12IZgNuQIi3QnNAXbqiwkzmEVRm0qdn7vQuTbHA9K46PUhAqif9LCogkgxHxoOCMiYdFiRfMeMZDQHV4BuMkkGS5rPFakjIvjlLbcI8vGo16D37OOUzTBDhHJBot3n6FurwlX5CcgwNgvSOIxZtBQjFvOetPIx4JgURbvPUwMAqE41AjLV5f5b5tFe6rkpey25ddg6Rc2zQyrhESkmUoTty0O9hSFAWSXL9Xq6HrkGQZiqJ47eS+/MPhcNVtxxgT18m5xsQxejgA7nzHnO8Lca+dJEk1OUQYY2IfQNH2Sy0b93tfPyrVhzjnsCwL9kQGmLMN19HTSH3Rtm1Ypum9Z2RFAQCYTp+jlOYNbrxBj28A5/+38P9uX+Ccw7Ys7/5VNa1k6IBt2zANA01NTd73nDEYhgFJkrzj8+Nu333vef8XX3rruJTbt3t/ufsudNTFIhHozv7d7U10LQMDOKAIWVFgGoZ4ERuG96CbSkOMyCqIrALRFgAA5wwwDXAzJ/6MHGDpALPA9cpHlO5txTkH27kRfHQA0qoThRHtR4sIb2yiD2hqFTeQbQN6GqRnpe9AxQOGF4x0XWi0FYi2lvzOfXgU/cbxro/nBQqoDfelYZnmxOtSCur3FE3ToIMQAmbbeZ4PZtslXybVbtcPZwywTc9wJ4yBMEvMtEgyEG0FSw2BaCEQWQNLDYJzBqmpteKZl7yXXeELr8D76Xo0qSR5yXezBUKI8EaZJohlOYNo8S8t48GqFUmWYRoGmPOcYLYNZttQVLXi/sk5h23bsG277LOr0u24145YFiRZrui5xRiDZVlgU5BcaUP0If8AARDXSFEUyLIs2sztgwX9EZx7bVpqOzMFc94XbhsXvj8kSfIGXzVtv8zsmKwoZeNm3WeibdveOq4RXa7f5z1HfYN8xph3XfwDG8uySj4P3G24101RVeFIsm2AkLx+Xek9GBjAAUVQ/4O2YOrN/b5WD0ClEEIBNQSihrxlnDHAzIHbJmBbYpRLJeEVdm9Y7yGXf8xs50bw4V5Iy48R6+gZsbqkgMjCO8ujreD928FCUUAJAX3bAFkFaen2H5jzT3Xn7Q4m3N9SN6ykwTwOByKyLIvpYseTAuR72uk0GruFFBpS1Al7cL1sdcXMwR7c5X1kyT4gCZBwM6TWuSBNbSDMBhveJ+4fWYXUNr+qsKPx2tF96fmvA4Dxk1QaGEmWRbiD4zmjlEKtwiiteD+SBK4osCwL3DS9PjNeu7mDD+b78+O/Tu6VIIA38KPu9/5zcTzDjDHvnC3ThOUck3/myn8crCBMxL9OXkv5QzZ8x+WtV/AbDowZUbYNy2mXwvYnhAgjskw7uduwne3YlEKuowe/VizLAnWOxfV0+9tysgOtwl4qy3LZ2S7vN05bWubYQNp2Bu8T3cfMMVYL+0Mh423H7yyQJAmcUli2DVmSxmwAiBCySpj5qxzQcBBCoKpq3oPOP2J2H6jEsqAoSt09HmWPi1JAi5SfenbXK7GMD+wCCIG96cmxNQhAFh0OtM8XoQpNLSDRFrC9r4mQi0gciLULr5k8NiLllgFSxstbikLjd1rCSgLyoJRC1bSJV5wB/IaU5RhS1Xj3KoVoEcg9hxS8fDjc+4EQAto8R/R5J7ad0Nru7UIvMHMMobzjcbzzdTf0pxFZlqfFWPJe+AUDOCDfK+savaUMDHdQNZGRUxZCIDnHIsuy8CgXvh/G8S5T53f1HvBYliXifS0RCidX4cH12kSSQJx4VTd2mJKCwZwbcuGGGkzxM5wxVnQuVJImDumoEOI4srw46QqcMe7giwAiP8GJXy8V8uMP9Stl9OaFr1TghCjnLADgzUJIsiyeoxW2UWAAB5SFUgpaMBXhjpYt58FnGAZkZ5qpkZHXnT3+CoQCHKBzFnkhD9y2YA/uBksOgLbOBcDB0sNi9ZCQhqrkIWiZpueBmQrDJmD2M12GFFDYZ4u9ZSDjG6SFMaSe8VM4tVwGz+AIZj+KBgle7DXGvJ6F/wK+WN0S3l0/roHhD2OrB64xIsvymPHthryIE/OOeaoSqF3c+8Y1XJmTGFXt/iRZ9gZqnDFUEqzhj7stjMHN+9cH9/223GCgXAyr/3O5RMtqZhVlRfGun2kYsJzZSf/vS4W4SI63uNRxM9v2jN5SxzaZ2eNSzgL/tZYdA7jSBMHGtloCGg73gerFpblTmiVGq7MBzmxwUwcsAwAHy4yAUBlQNNBQE2hzB1iyX0wdcyaM5Jbuis/TjbsDhPE7W6d7AwKAMW9bpXhhJgWx1QHwjI66ZfO7xu40h1ZNSbhOlbhhAqZhgDMGPZeD5Bjo1XiDVTeu1DfIA8YS8AoHeLxg0FIt7rS9p9BRRQy5G/pRSDUx9YQQKKrqDR7cZDg/lmmWVbEpxLUJCo9HquMgaDxnQbV9MTCAA2rCu3GcLFvbiReuNCmiUeBGFmxoj/AAy6pQoiAUlIgHEw01gVBJJOERAqLkxyVPRJ6vbZa0SUBAOYpidwu9X74/IOjzpXCNDP80bbk4dL/h5f/stncwsBhDkiQQTfMGFbbzbnLDbPwhI0VKGEBRvDN8ywjn4E5f577vvHjkGgcxbuJW3q8ta8wILlTKcK49lSRvFqBw/7TKfuC+y2UnUbJwgFuN08bfB12Hz3T3y2pCMgMDOKBm3CxbSilMJ7HFTYpw44Ia3eNJQ02gPYeU/Z5zLvSH1XBt23eSA1xPeaPGoQYEVAKlFDbGYtkDyuPKcLlGDKEUcIwML5FpiuK9G4WJ5PHqPVByY/39yZb+RL16edsBjOv59bzxzgxI3vqFRrdvuZe06CTCMsbykvcYY3mJcfXE9Z66BrCqqlUPrGRF8QYXhco2jUhgAAdMGjcD1HZig92HvJsdOhtDI1zqMmWjKDB0XUx5muaUPLwCAqYD6vOiFWpgB+TjL8QAQMgq+ij0TM5W8pLg3IQ8Nx64QoOzcObAr/jgV2updFv+d5I/Ua/c/kpqDPuOw/tNwTLPmC0x+1Er7ruCEEduzPEI25YFzhikKUyiziscUoPx6ia2moYh3v+Owd6oBAZwQF1wkyIkSfLUI1zZE875Ae3lmAg3ZtqdkrMdeZtA+zegkSlUF/AKJPi+D/puPqWkniRJGtMpJWNFFxq57cp6bn3GbrVGrmc4lli/kuTJ8aqEld7d2DvJP2CrZzLgVEAoBZx2lRVFVD5zPNhTnUdi+1QVaqHwmWBbVlEifSMRGMABdcUvK8NsG4YTFO/GYh2syLIsZFscb4Q71WWZpmcIB5rAATNFnhrBOFJaLvU2ImazMe0VmSiRfe5WcJtpCouQ5E3f+6fmK1TyKEWhF7SwmqVLuYJAlWy/Fhrd4PXjviuBfAPeZarPgxACDiFxVihN5h9A+AcUbt931ync3nRTTbGVwAAOmDKoE/7g1gPnnIvp/waeEpkqXI1C6ngjXOF19//MN/KmgTEcMMX4vbtuwZty+JOs/DGNE/VPzhjALFG0RlaLCmqwTBIsNSg0t2UNNNYBGipR+rmBcQf5fqajUNB45Gkv+7z39aBSI7cctmWJMt8YkwEjlI5JhvlDDpxl/n0f6LjvATc2HJje81YUBYbTX8oNUiqJpZ6s5rPteye6syZFYSu+kBu3H7qD0UoJDOCAKUVyslXdmGDbV+WqZkH2WYwndeOERXjZys5N65dN86/vj4Obao+G3wsUGOIHBhNVBnPxS2lNZrqYmzmw5AC4pQO2BRrvAiLxsZeXngFL9oFGW0FCTWCZBNjQbpCOhTUnnE43fmMOPm/dTN0vzLZhlZHG8uMpdogPY0o1hcbtFHj5XeWL2Z4bMlX4QxBmom0IEVJwlhPCWMrQLbXMK5/sM0bL4Tl9HAPW/15z+0hhH/Z/yjOAfeS1WYVtFxjAAVOKG7ck2TZMJ4jf7eSWZc0atYipwDOGHQkavzeuaMoSyEuiKSdwX05AvVL8DyB3WrRaPc2AmaWacIY83dg6D3aIGgZtnjOmoe2DpYeFpGC0BYRKkOKdsIwsWHoEVFZrrkA3XbgJrcDMKzlwzmGaZpHRUKrK1kzew/5nWWD8FuO/T6erumopiM/7XPjc8DtGnAUVVcXzO3qKnkVlBmxu7LyrjjGRoojfcSRX2H6BAVwlbnJDcPNWB5UkaL7pf8uttuN4PCmlY6PIgxB/7DRQUEq2wKABxspRY5ySj66nuZqQCnfqyR2YuGL9bjxaQGNQqm9UEr/p9oWpnkkgSghECbk7BbetPE1sbhmg4Wahse08T2moCUxPi5CJEgYw5ww8kwQoBagsjGRJBsj0zlL4p4dn2vgtLKbhn1mb6XdUoeqCGyc6U6EhjY4//KFR2qfwOIqOq4Lj5JzD0PWi/uDqiBeWSS5nCxQ+3/x93J94D1SexBe80arEMIyDPqFrMrixsJIseyWVXWPO0HUoilKyxOLBRrkXWDWxm15yjv/BSilkpwxtKVyFCvclKkkSbEo9A6tRHswHI+51d/VNJ6JUBbbpNhRF6I4MMBtw1E85L9NnZQXIMWEsK1pxf2M2WGJ/8e8kBbSlC1Sbnvhhy5fsNlPGr3tvW7542qlUCCg0PvIS6QqXo7yXDqhdYeBAxh+7OpPe36nA7/UtKf3nlGP2J9mVYrzvvMR7531oVFitMrA0AmYMKklQnU5rmaY3rcidaffA2CrGH0MMZ6Dgvoz8o3HPUPYZwIwxgDHxACqxbW96q+ABTJxCHo2M+4Bl+VKeY1XKDgCKdGXhixH3GbiuETRV5805A2wL3DJFkZiJjC5JFslwnIsLwiG8wqxg9oJQAKQoXMK3AogWFftntvAUcwbYJtjgbvCmdkjNHZM/wQlwPXXKDEzju/e06S+wQURRknoci1+hxj+rUC/8/TNgDL+ReMANEHz9p1xsc70G59X2rcAArhJVVQMPZZ1xpxHdF7xlWbAZ86rMBYyPm9RStAxOsonPa8wdgfVSuGU5S8UUY4a8v4xzmDaDaTHYjMPm3MluF//anIMx5OnTFiJRAokSyJRCpgSyRJ3PYjltgOniifB7iCRZFjFuU3jcnDPAMsEtA7AMcMsAt03AMhxvrkDqWAhMlLQmySIZzjXYKAWRFMAq5aXhZadViSRDap+fvzazwUYHwNMj4KlB8FB0SpPo+AzGaTLb9hwELvUqpuHGaFrjhFQBZRLo3EFYiWVltxHg4TqAgAMzNlqSZc/At227oULpGudIZglB/NLUQIioIEMoFVO8TkhEkC08eQo9g+XgvvXzlpcxft2EOfcFXK9rxDlH1rSRypnImXbZcqPj/d5igCKJ47EZh804DJT3Yo8ZxBSyRKBIFKpEoUiNEY/HfIOTeuvKctsCN3OAmQM3dXBTF9Jk40EIICklixoUrSrJ3uDKW6aGwVJD4KYOojgllW0LYLYXO1xJu4sEui7YzAbPjsIe2Q9pzqIpu2a2ex2mMU7TP0PmIjthZPU4BtsxrL1rScR9UJg81wj3wYFGYTz5Aef9ha/EsqvuEBjAAQHFuIlWlFIvY9T1egVG8NTjGrp+g9cNryg1ze0mHtiW5Q1gJpvAkTMtDKUNmPbYy54SAlUWXluJEFDHa0sJgUTh/V94cgHTZti4bxSHdcdAKYHNOWybw2IMFuOwbOYZxbbz0nc/o4SRrEgUiuR4kCXqeY4lSkHJ9Hi0mM/wmiycc3A9A66nwfW08OqWglCh3+v8QVaE51ZWxXfMAvQM2PA+z3iGZQrj2bbAmS2MKlkGQjHYrz8j2kpSwGUVkGTYg7tAm9oBWRbKEFpUGMxVzjjQ5k7YuTRg6eCZBEi0ZdLtVAr3OkzHzJR3f/nCXurtELAsKy+OWHa0yoNn7fRgN0A8+XRAJQnwSatN5XlWE7ITGMABDQelFFRVQR2dTdupStNIUycHIpRS2BBTre4L3s3QlUq88AkR9eLddVy1iEKJtkoZzZkYSuve5+aQgqgmV+2FlShF1rRhMI4mRYLEOYhcJuyDc8/4tRiHzZgIuXD+GIfzfyBfjdJpA8AzvN1wCteLLFNhONfDi8wnaXhx2wTPpRzDN1McZyurjnKDBsia+NdVYjCy4NlRID0ClkuB59LAeIazC5UARROqDYSIUAjOgWwSyI4KQzrWBmYZcGN/SWsPgOoHFUSSQcLN4JkRYdRPgQHsxt8CKHk/1JM8jWGUz4yvBX9ugD9rPnAyTC9+XeQDve3958acPJSpwA3jUSq0FQKLIqBhcQtFuF4Kd1ouYGpwjVbX48QhHiiF5Tj966uq6l0j15vhee6d+vWliiuUwi6YJtctG5oiQanyWUkJoMoUOYuhSRt/XUIIsqYFw3YTisR5RWQJlIhtMQ4wx0C2bOYZyow7bcTFfywvA6/YUFYlipAiIaxK0OTqBgZu/DZQnQHMOQPPjoJlEoCRzf+SSiChJuFx1SKeHBn0NHh6GCydAM8khKFamKzmR9YALSzCFhTN8xSDymL/Zk54iwkFIs0AABJpBpo7ACMnjPHkoBdywRJ9IMuOAQnHKj5PwDXwR71zqzecc89TCtTHE18Ov8YwobRuuRClPMpAfcMpAirH76m0LUvMYh2AIRDAWPLjRCXWJ4NnJ0hSoAIRcGAgyTJsJ3nLNE2o2gQWzUGICFMYy4zn3r+WMCyYLZYxJtbjzB/wW5xApzbBcuIwqZ4Ctw1YVBK6q5QKA4NIIJIk9FglBbKsQJZDY5XGHK8w5xy8oDpVuXLP8bAKTZGQylnIGBZ0i6F/NAdNpmhvCkGRKjMCCCFQJYqcWVlJzB3DWQxnx39gEkDEBjveXVWiUCUCTaJQZQpNFqERjEOEWjghF6bNwDlg2AyGzZDMmZAoQZOmoDmkgNLKdDT95zbx+gw8PQKWGspLWIMSAg01gWgRQAmJcBdTBx/aC5bsBx8dLO3VJRQINQmDOdQEroq+wRkDTAMwcsKLm80AJCuMa1kF1BBoOA7S1DoW51vu/NLDsLc9B+gZ2Jv/CWntKSLcogI4s2EP7hbnKqugsfoqQXgDPFf9YQqnqrmj6wsI41etw75KxRC7cZnufRgw/bgOBMNJbDQMIyg6NAlceVpZlpHN5Sr6TWAAT4JSI5mg49YXN+nH0HXhwXCKNBwI1BoLxU1dTGe7cZe2BVSdKuYdRN5PCQCSS4DmEvnr2WbRHor2SGUQNQRJDUNWI+Cylqc+4b6AC7WJ3UqAhBCEFRlhRQx6klkTozkTusWwL5HBnKYQwmpljyxVoshZlRnAYUWCyRgICDg4OIcvJEJonXIAps1h2jZQxlaWCBDVZDRrMlrCCtqbNBAIz7Bh2ciaNrKGBZtxJLIGUjkTLVEVTdr4hp7f+ztRf+F6BvZI71gSmySDRlpAIs2eQcmZDT60B2xwD/joQP4GCAWicRDnNyASWHoEbHg/2O4t4KODohhFlZBwDLRjHqSuxZDmH5JnEBNCgKY2SKtOgr3pSUBPg+3fBqlnZUXbZok+YbhTGVLbfBCpfq81N7THvQau6sJUYNu2Z/zCee5N5n1SeOxA8f0WMLNQSYJGqVfJz3YSxaZS03mmmapexzkHrTZ0ik+VP/oAI5lMIh6PI5FIIBqJ5Imhu7hJBIFMWv0xTdOrJKRq2qx7OHgJZmZOZL8bOaGhGo6BhpomNIa5ZYjp7OwoYOmlVyIEoLLwwEkyIMmiCIHkLKOSMx3teH2Fin1xJr//ODgXHmTXw+x5k53/22Ne5iKoBBKKgUaaAcejXOghHtuleOEXTgFaNsNAKgfdYiAE6IlHIFfgCX59MI2MYWPt3Oaits2aNvrTOoYyJpI5E2nDRtayYVgMJhMSaxwitlemBJpMEZIpwrIETaEISRJUWcT3ci62lzXtPA1iAJAIwZwmFd3NIcS0Mc3mtGEhkTG8kIlYSEFrpLynzzQMMfCT5bIKEJxzEbqQ7PfansY6QCLxsYRGMwe2/3XwgV3OoMkh3AzS0gXa3AEuaWB922H37QDr2yXCIEpBZZCwCJ+AGgaRFSf0gAOMgZsGYGTAMikRL+xHViAvPQLKoScVeYbZ8D6w158BqARp7Wnjeo4BgOVSYEN7AAhJtnpJoBUWmhCHrUxJHgJjbCxDHvXR9S2KIZYkL8E4oDHxD4Dqqe3cKLhOrKkqdmXoujdwHB0d9ey15ubmsr8JLLUqoc5ozZ0+8mfLezqNQJCwVWdkpyyvO0U42x4OhBChWZrod4yTdnA9LV7e7fPLVrHiZg720N4iWSovdlMJCTkqSQIhE8iccSbiLo2MmLp2Cwm4vlzuGC/M8iSpxgpsOAGxRIRBuGoARA2BKK3gigrCRMwn1zNiH8wGz4zAzoyIdZ3pd1kNA058t78+vGEYItlHlj0JJlmi6GoOY38yK0IiUjl0xsKQJggd0GSKkYKwhqGMgSd3DGHfaJkBRHGLwbCBzDihFIpEsLKjCccuaIHJOFK6hUTOwnDGgGFz9I7q6B3V0R5RsaqrCZSI8IeoKiORNZHIGhjNmbAZx5xYqMx1c3Rnx+nvbHQQPDUIACDhZtB4pxjwuN8P7ALb+eJY8psaAe2YD9I2D0SLgBtZGE//Cfae15Dv2ycgLXMgtc0Fbe0Cae4AbWoFtEjF9x83cmAjfbD7d8Le9Sr46BCszU/D3rMFodMvFEa0u7eWbkCLCi9w71ZICw4tv13bAhsRleFItLWuxq/fczqVVdYs08zT3q1HMpo7YAKmvkJcQP2QJAk0FIKey8Etb04OkNnO6UBWFJiGAT2XC0ohTxWSk41bysCVJEkoFziJQwH1gxACVVGgOzXFG7UctZCYSoPrGdBwLO+lzLOj4JYOqX2B8GxF4rD5HvDUEDiVS3u7JMUzfokWAQnFQMKxPOOm5HEwG8gkRIGATBI8mwRy6XGqbFV5nqUWKiEx1d7UBtI8B5zKQG4UPJcSxRRSQ+CpIYiKXmGQUAxyOAZZUbwiKIyxPEPYHWS2N4WwL5GBYTH0JjLobA6PGxOsSBRpY8xw3TWSxUOv9cHJdUNLSEF7VEU8JKNJlRFWJGgyhUKFzBoBvHhew2bImQwZ00basJEyLCRzFkayBkyb46X9o9g5ksWpS9vRFQuhKyb6QSJnoXc0h/6UgcGMga0DaayY0wRA9OeWiApFohhI5ZAxLBiWDVUuvq4TTdFxZjvtCtDmOcIY9BlQPD0CtnOjGMxEW0DnrgBpnuOtw0b6oP/9Ps/bS+KdkLqXQOpcCNrek9cvObNh9u6GsWcb7OQweC4LoqiQWjsQWr4Wcmtx/C1RQ5A6F0LqXAh+6Emwd2+C8Y/fen3TbwCLk3Cuq1l+oDIW92uJUsh1rADHfOE69So0UQq/CkA9VB7cRL28gilBPOmswq+sY5om1AMkVMV/T03V+VBKoWqaeI/olTk5AiutBsZ7SBFKvdroB0LHbSTcjGjT8Zo0WgIHN3VRlcqtnkUlL9kIALiRFQaxrHq/IZG48N7pGRBFK+o3hEqQ2heI7YxzrpxzYfAm+sBGB4B0orSxS6io3KVoIkzCDYkAnNAI6oRMyO6GRfIcAC5KPIFwpwytZYgYZDMnYjDNHHgiB57oE79VQmJqPd4JLiniez0tPMOuHFeiDyQah9zULhIeHY+wawi7HjFFouhuDqNvNAeLcfQmMuiOR8oawc2ajEWtYvCxcySLv2zpB+PA/HgIJy9uR5OW/+jjnGNUtzCUMWFY4nyjmoT2iIpQGRkKxjh2J7J4YscQRnULv39lP46e34Ij5zYLAzesoCWsoLPJwEu9o+gd1dESVjDHJ00R1WRkDAkZw8ZozkR7U/G+3OrB5QxhnkuJb2UVtKkt/zvbgr3tWaHl3NIFunRdXv+y+3ZA//t9gGWARFugnfAO0Nbuon0Yu7ch/ezjyL78DHguU/I4EgBCq49C6zsuAg2V9sYSQrzwCxJtAWnpyj/eoT1CeYJQ0DIxwJ7xa+kiVKJ9/oSzH9Xghlq5BuRU4e7Hne6eDJxzGI5zAMC44TIBjY2iKNCdWTHXmznbZdLcUCI6xUpObhhqJlP6GVVIYABXiet9JGU6pFsUYDZ31kaGShKoYyBZjaYKQQgga5BiHcIQNjIgvEWEDQBCBzWXzis2QZSQEP43swBaS/abIg+ZD65nwPq2gzvFCPKQNWFkROMizjMcA1dCQDYJlhgASw4K3dTsKHguIySrLAPcMkVBg5IGNBGGrRYW4QzLjoK8cLUok5sdFV690SGRXGXmwPt3gPfvEPHAsXaQ5k6QeBdgGWDZpNhfegR2JgEa64AcbYUsy17WvWsMK6oKVZYwNx5GXzIHw2boS2bRHY944RA2497/Q4qEBS1hpHQLj2wdAOPA0rYI1s1rQVQV18O0GV7Ym8TzexPY1JfK8xj76WxSsaorhqPmxbG8I+pdI0oJFrZG0N0cwhPbh7BlMI0Nu0cwnDHwpqXtkJ0HfVtExYKWMHaNZLFlII14SIEqj70EmkIKMoaNtG6hNVoikcP9XCZdg2eF/BctIR3G9r0G6BlADYMuOiLf+N33OvQn7gOYDdoxH9pJ7y4KIzD27kDyr7+BvvXlscPRwlAXLIPcNgc0FAE3DRh7t8PYuRW5V55Ff99etF94BeSW0l5Za9sLAAB5yWH5nmrLBNsl9kN7VoCEisOCOGPC+HXk1aT2+UJxok7keX+ncPo5TwN2Eka2q7RiGkZeQYUDJVH4YMQdELnX1LZtMM7roggyExTOqDTSOQQGcJXYjHkGmD+T1st2dzpqwNTgVhxzA+rd69AQSAporA2EUOHZHd4nvF1OuAJRQuCpYXBmeyEMIllNERWsbKviDHauZ8D2vQY+uAeeb5DKIM0dYno71g5oEcA2wQb3gu3ZAntwL9hQCUO5GjgXhRGMrDB0F6xyzkMBmtpAmtqArqViWj45AD6yX8RpWjr4yH6QRB84ISAt3aCdSwBFBUsKY5kl+4FsElLLXCiqBuokIbneLTf0qLM5hH2JLCzGMZDKoTMmvOx7ElmoMkW3L5b27zuGYDKOziYNS1oj2DmSxfL2KJ7YPoQHN/chpY8ZvQRAS1hBSKHgHBjVLaQNG30pA32pQTy2dRDz4iG85ZBOHD0/7hmqqkRx6rIOzG3W8Pj2Ibw+lEHWtHHWIZ2eEbywNYyhjIG0YWPLQAqHdo8lZoRkCTIlsBhHWrcQC+V77tzXRSnzlzNbeNUBkFC+Acyzo+D7twEA6II1IlHNwe7bAf2J3wDMhjRvBdTjz83reyyXReLBe5B55nGxZ0oRXnscokeeAHXRypJeHGPPdgz96oewBvdj5Hd3oP3CK4tediyTBBvYDQCQFq3N/653iwj3CTWBdC0tPlfbgj20x2f8LvDKJteL6fBUFWoK16L9Whg/7zIbE4QDinGn85mT88KdGbHZZAQzp4CVX/Gn0fpmYABXCeccWigkVCAK4lrcTNvZ0kFnK+6N5HqBG6WEJHGTxeB4bTkDt3QvhpIomih4pWeEN9b1AjvnMlG0p6uXygZ2i6lix0NLYu0gnYuF4esY1tzIQv/7PWC924s9uVQCibWBNrcLD3EkBhKKOpXAVGGQy4pX1IA7agWE2yK8w8iB61nwXBq0NX8K22sLKonp7ZYuUM6FdzjRBzbSK0I1hveBD+8DaZ0LuvgIIJcSclamDrt/B2i8E1K0RSSdOglJrtEgyzI6YyH0JrLImTYyhoWopqAvZSBr2sgYNha2Co/rrhFRAOKNS9oQUSS8sDeJ29bvwEu9KQBAPCTj+EVtWNMdw8LW4rjiUd3CtsE0XtibxLN7EtiTyOG2p3bi79ui+NRJS/LWP2RODDFNwYOb+7BvVMejWwdx+oo5oskJwSGdTXhmdwKDGRMjWRMtYcXrN7GQguGMgbRuFhnA43mARfgDnEpuBYoKu14C4IQ++EINWDoB/e/3AsyC1LMc6hvekRdTbqcS6L/la7BHhERa+LDj0HzaO0vG9/pR5y1Gx0XXYP93/h36668gt/kFhA85Im8de9tG0R4d80EjYwY7z6XB+7aL7+avLgpp4LYFe3CXI3cmCbkztb7GL/NVRpuq/AK/mo27n2qfXf7yxS71rBQX0Bi4Ws1E00R4i6MWMhtsjFJ9dLrUsbjvXTERgQFcA65kU8DM4fcCm4bRMEYw4EqeUUDWRKxrqEl4hWUVRIuKsAOn+hbgFBTgHERSimKAuZ4BT/QJb2pqME++isTaQecdAhJtLdq/sf5/wfa9LtaLNIN2zANtnw+pfS5IfE5REh3nDNZgH8yd22CNDMFODsEa6IU11AeWGhUiEE1xqD2LoC1djfCaYyB3Lhy/HbIp2Pu3gWdGhSRbJAY6d6VQgOjfCT60RxjB4WbQuctBtCjYSK9Qx0iI7H4abYGiql6lOcs0QQCosozmsIpE1sBgWocqiyS2iEKR0i28sj+FrJXv3dVkCRyAbglDsj2i4DOnrUAsVP4xGNNkHN4Tx+E9cZx3+Fx8+7HXsTuRw2v9aaR0C62R/NmenuYQjl3Qiid2DGF3Mpt3PaOqjNawguGsiVHd8gxgOMcGAJY9UcpbQRvrItatyPvLbFHYAgCdtzrvOzawW4S4KKEi4xcAzN7dnvHb/sHLEVqR76kteyymgfT6R7zP1uD+4pUcL7O0cOyYuGXA3rIe4MwJk5lTdC4i5tfR+m2fP6E8Wi14estTlFvgVmIDIOSanCTPqrdTopJbo+VDBNQPd3BjOYMn27KKtJwbLezSP8hzma7+yXzhRRMRGMABsxJKKRRV9byDhq5PuTQad6b/mZ4GbWqfcIqUhpvAMkmRROZ4CmlTG+zhvWAjvaDNnULfV8+ARlvGtp8aEqESo4PFGqpUFh69joVAU+mYYWvrs7D3bgGoBO2N74HUuWicc2LIblyP5CO/gz3cP87JA2x0BLlNI8hteh6JP92N8Jp1aD793ZDjxYlX1qanYL70d+FdjrY4kmpMeO+6FkFevg481ga2YyPY3s0idCPaAto2T1QlSw87RjAHjbaKAacTD2c6JZbjYUWUMbaEVrBEhJE5vyWMTX0pSCCYG9Owb1THnzf346yVnQgrEo5d2IIdQxkMZkx87eHXcPGxC7Gso7QMnZ+9iRz6UiK7+IyVc4qMX5cdw8IoXdnRlD+YcRLtAOF59mPabtxpcZ/i7ixTif7GHaWEIoPQGiuogIIYchKNO79RS4bcaEtXQWrtgD08AHP/7ooM4NzrryDxwJ2e0Rs95hQ0HXda0XryIceBNLVCmrdcHL9tCeNXT4s45cVH5reZG/PrJrx1LKhrzG8eU2xA+MMrJjNg9z/3AOFtg2UdEMlSAaWRJEkU1XHLzVtWUcH1Rilp7calA8LryxiD0gDHVYqGNoBvvPFG3HvvvXj11VcRDodx4okn4qabbsIhhxzircM5x5e//GX86Ec/wvDwMI4//nh873vfw5o1a7x1dF3HZz7zGdx5553IZrM4/fTT8f3vfx/z58+fidMKqBN500POqG8qPPPcMsDSI0JKzC34EGoSagrjQEIxwC0vKwndW6KGQeNdYKODYkqXWSBKGGxoL/D6M4CRLdwK0NQq5K2aO4BI87gZ7yzRD/P5hwEAyuGnjmv82qMjGLrnFhg7Nos9yQqUnkWQ27shxeKQO7ohd3RDam4BGIc1MgBjx2vIvvIMzL07kN34FHKvPofmN78L0ePf7D3grC3PwNr1KtTjz4bUvQRczzpJb6NgQ70wNz8NNjoM5Zi3giQHwIf3wd72LKRDTgRRNNDmOWCAYwT3iRDUplbIiuLF2huOFvScphD2OvJolBCM6hYkSrCqswm7RrKwGINCKYazJp7aNYy2sIqj5sWxsDWCW/+xA/1pAzc/uhWnLO/A2Yd2IVxG8eGlfUnc8s+dMGyOQ7tiOHdNsVICAAxmDOxJ5kAArPXF+QIinMJiHDIlXmEMF8MxgP3JcS7uy6TwBcI594qiFMXCugawXGxo0ZgYsPBMEtwyigxKQiXE3nQ2Ru6/HcmHfwt10QpoC5aVPF9rcD8Sf/kNcq88AwCQ4q1oefuHEFp5WNlKmfJ8oe7AbRP2lqeB9AggKZBWHJcX1sA5EzrZ/pjfqTJ+4atQNQW1odx+C0w+EchNknILyril4t14YL+OdsCBASFEeH0diTT3WvvvMcuyvIThmbz2XuXBGZopp5RCC1UWHtXQBvCjjz6KT3/60zj22GNhWRa++MUv4swzz8TLL7+MaFR4bL72ta/hm9/8Jm677TasXLkSX/nKV/CWt7wFmzZtQiwmpgWvuuoq/O53v8Ndd92F9vZ2XHPNNTjnnHOwYcOGIFt2luP3BNuOF6ReUy3cMoWaQ9ZX+pVKIFpUyIWVwZuWUjSASkLtIDsKcBs01gEaahIJcelhoZIw8pr/x0AkDtLUKvR0m9rzkpfGw973OvSn/iCy+ruXQl5+dNl19e2bMHT3j8EyoyCqhtjJb0X0+DeDjhNXKcXi0BYsQ+zkt8LYux2JP90NY+cWJP70Kxi7t6LlHf8CqoZg926D1LMc8kJRxMBVFqCt3UDPCkhzl8F46g+i3O3Cw2CnRwA9A3vzk5BWvgFECQkjmBDw1BBYsg8gxAuHcAc8bkGUtqiGwZQOmzFkTLdsMMGitgiaQzJ2jWShSASmzdGbyuGwnmbMj4dw7ekrcPfze/HPHcN4ZMsA/rF9CMcubMXyjijao8LQ6h3N4bk9Cby4TygtHNLZhI+dsKhsIY7n9got3SVtkSIjdzAjjNLWcLEB5EqvqQUeYP9Lruil5lYEdKXr/L/zGcCFEC0ChKJALg020g+pY17ROpEjTkDutY3IvfwMhn71Q3R8+N+gdPaM7Xq4H6OP/wmZ5/4OMIbQnFaEOueAtnaBju4Dt1d5pZdLwU1deH4zCRHWsPxYkFCT77wZ2NBeUVCFkCkLe8jDl9Bcb/JyRer0fHJzIWSMVRHz62jPtCEUUH9cQ9gfT+svwuXmSkzHTICbzOkmpnvLfaXbZ4JqwkFmVSnk/v5+dHZ24tFHH8Wb3vQmcM7R09ODq666Ctdeey0A4e3t6urCTTfdhE984hNIJBKYM2cOfvazn+F973sfAGDv3r1YsGABHnjgAZx11lkl96XrOnSfmHIymcSCBQsmLK0XMP34Kze52bOThaVHhOHlGh9aRBQY0KIT3lycc/DcqPCw6WlPHo1GW0TyWzYlEpSc4gWAqIBF2uflJbJVCrctGE/9AfbuTc62OhF643tLykgBQObF9Ri+91aAMyhd89H23o9Dbi+dzDbReabXP4LE/94FAFAXLkfHRVdD//t9oPEOqIef6qw3loTneq+z//tjKIefAnneSvBcGvbmfwhPnxaBtOokEFkVD/bRgbEiD609oOEYOGPevelO+w6kdAxnDKQMG0fNb3H25XikGcNI1sT/buqDbjF0NWl46yGdXgLbK/tH8evn9mJ/qrx4OiXAKcs6cO6a7pJeWgDoT+m4/+VeAMC7185Fuy9EgnOODbsTyJo2DulsQqdPC5hzjt3DaTAOzI2H84phuOE9AKCFQnl9j2USIqlQDUPuyI/HZkN7wLY9BxJrh7TyDUXHmnv8HrB9W6EccRqUlceWPB9m5NB/y02w+vYClCK0fA2IGoI13A9z7w7v3mg65BAozTGoa04EN3WYLz8BqX0elLUng8bnFMe159KwX/unmO2QFEgrjvfCMkR7MLDB3eBGVgx82uaVrZRYT/xtHQrXp6qci1fOWpKgTJFKkBtjbPtihN1YURp4hA94/KWUp0MKz78/v/qIm5szVaXDKyGZTFZUCnlWRc0nEsK70tYmpvC2bduG3t5enHnmmd46mqbhlFNOwRNPPAEA2LBhA0zTzFunp6cHa9eu9dYpxY033oh4PO79LViwYCpOKaAO+Eeg3vRLjXDOYSf2i/hTzgE1DKljIaT2BcJzW+lLxDIAKqZt5bkrIc9ZBBqJA3oG7LWnhPFLCEj7fEiHvgnSsnWgLd1VG78AwPp3ecavvPxohN58YVnjFwCyL28Q8biEouXcC2syfgGA5zKwR0e8z8bOrbBHE5AXr4X1+vMwX37C0T2m3h83dVjbNgovdawdAEBCUUgrjxcb0TPg6WGxnBDQWIfwuAOeJ5443i0A3su+LaohrEhojyhI5cy86yRTio6ohrcd0glVItif0vGnzX2e13V1VwxfPHMlLn/jEpy0pA2L2yJoDStoiyhY2h7BGSvn4LozVuL8I3rKGr/bhzN4YJOIf13UGs4zfgFg53AWWdMGJUBbON8zmjFsMC6m4AtVKPze36K+5xaUKOlpHSu+UsrHIXWI8C/z5SfAEgMlz4mqIXRceCVChxwBMIbc5o3Ivrge5p7tAOfQlh2K9guvgBqPQVm8BvKiNVCWHw3t5PPBcylYrz/vHbt3Ptkk7E1PCuNXjUBadWKB8cvBEn2O8UshtZUvE15v/K1bb78QmwavmOv19edC2JYF0zA8oyTgwEWSJM8z7MpHTiXc15/c/dk+JZXZkJTZ0CEQfjjnuPrqq3HyySdj7VqRlNHbK7wtXV35L/Curi7s2LHDW0dVVbS2that4/6+FNdddx2uvvpq77PrAQ5oTAqTjWrxdnDOwYb2eLqqNNYhwhCq3BYhBCRWLBnFLQP2a0+JqetwM6Rl68YtclEpLCGS12j3UqhHnTHh+vEzzoe5fw/soT70//TraH7zu9B07ClCAq0C7NEE0s/8Dal//MWrCqZ0zUfz6e8SCXHxNvBcGubLT8DcvF6UR47EQGQN3NLBBvdCWXksSNPYPckG94j/KFpe2xFCQLTImCfdIe/hyjkkStEcVjCc1jGqWwirMlKGjaxpw7K5iCxRJZyxvBMPbulD76iOP7y6H6cv70BzSHFkymI4pLO4mMR4WIzj6V3DeHG/CJHoatLwxsXteevsTeSw05FjW9YRzUt0Y5xjOCO8js3h4ilr5tPQLMINe2DFBTxIvFPI2ekZ8KE9IO35+Q7y8qNh730NbHAvco/ehdAb31OyApwUa0H7+z8FfcdmmFueA0kPgoSaIM1bBm3NiWDJAegvm6C+MAqpbS7s7iVg+16HPbgXUnuPV6nQfu0pofUbjgnPb0FYA8+MeCWZaWtPXe6PiqnDM6SafUwV/pKw/thgQ9eDIhkHOLJTTdONOZ/Ka+03rxlj0HNj+vKNpkpRjlljAF922WV44YUX8Pjjjxd9Vyo5pJJp6vHW0TQNWiNVGQuYUjjnngQXCAFtmVuystaktr/tuTHP14rj6hbT6BrAUnvPBGsK5LY5mHPJtRj+zU+hv/Yikg/+GqOP/R6h5Wshz+mB3DYHcmsHpJZ20GhMJMAN7IO+4zXkNj0PfdsmT1tY7uxB82nvROiQ/Cpjyop1kBetgb1/O9hwL3hW6NXScAzKcWdDmjuWVMVHh8B7t4jv5x9aLNHmSr/RsceV+4DlnINxDglAk6YgkTEwqlvoT4/C4hzUWddmHFnThkQJTlnSgce3D2IwY+DeF/fhqHlxrOmKeUUrKqU/pePRbYMYyYrs/rXdMRw3vxXUFx+8N5HD1kExoFrQEs4r0gEAyazhVbBrLvAMc85h+6S5inBl9OxiyR8iyaDdy8D2vAq2ZxNI69y8diWyAu2k85F77JfgI33IPXIn1OPPhdyzvPgYdm8Ce+kxSFSCvPxwsMwo7Jf/DqspDnnRGnDbBE8Lo5UzBkIppO4lYH07Ye/bCqm9R1wrEDGrEm2BtPy4oth2lkmIpEfAiZWfHs+vi79PzaLIwJK4JWEBQPaFiJmGAQRG8AGLGyPsSkbOROjLbFIjmRUG8OWXX47f/va3eOyxx/KUG7q7hceit7cXc+fO9Zb39fV5XuHu7m4YhoHh4eE8L3BfXx9OPPHEqo/FrfY2Gy5uQOXw1JA3xU5be0B9CTl12X7fNvBkv5jWXbaurgk9rgFM4nMmWHMMKdKE9g9chswzj2P0b/8LOzGI7EtPV/x7dcEyRI89FeE1xxTJc3HLABvpAywD8oJVwIJV4KYONjokim84iVmcc/DhvV75W9I+H7SthBHveDgLDeNCY0WiBCFVxp7RDGQKzG+JoEmVoEgUMiWglGD7UAb9KR1nrZyDp3aNYN+ojvW7RvBS7ygO627GIZ1NRYlohRg2w7N7EnixNwkOIKxQvHFxOxa2jnkrOefYMTxWiGNePIRFrcVxpbGQCtPmiGpyUQlkzrkXZ1vKA+xJmLHSmpekczHQt12UpO7bDtKdr+RAtDBCp34A+hP3gfXthPH3e8FWrINy2Cl58mh8dAjyinWidLFz7bLDvUJPeNEaSN1LYG3bCHnJ4eAQoQS0dS5IKCri4E1RDIZE4yLUJdSUv33OwVODYI5uMYnERUXBGYA6las4Y8AUGIkz8dYghIhEYdMUyVKGAVoQTx5w4DBtXmDn2ST79Kyny/PrH6BOZn8NbQBzznH55ZfjvvvuwyOPPIIlS5bkfb9kyRJ0d3fjwQcfxFFHHQUAMAwDjz76KG666SYAwLp166AoCh588EFccMEFAIB9+/bhxRdfxNe+9rWqj8nQddi2PWPB3QGlybsJOK9qqlEYZyIOksa76m/8MhusVxSloAsOBYnUL4mSMwaedAwHrbrEHUIIouveiMjRJ8HYuQXGrtdF8YuRAdjDAyK+141BVTWo85dCW7oaoVVHQikTN8z1LMyX/w5ryzMie3/hoZCXHw1z42PgehZEViD1LAMNR8FHBwCnkAPCzaALDi19oO4Uf4HSgb8MuctI1oIiEbSHZSgURVXVlrZHMZw1wTnB21d14bWBNJ7ZM4KUYeOfu4bxzJ4RLGmLYHFrBHOaNE8WzWYcw1kDuxI5vLw/iayjNrGsLYITFrUh5JNPsxjHa/0pDKRFgsjCljAWtoZLPqglSjAnVlp5wx/+UPIhT8dCIEoNygmVQOcdArb9ebB9W4QXuFATWNGgnfwemBsfhfXaBth9O6H4jG1CCKTFa0HUkG/gwkAjzZDmCzlKefFh0P92N8znHwJt7YYd74QU7wSJxMAG94Eo2ljVw2hL3v45Y2DDe8fKOTe1idCjGTLO3P3WO17W66EzeF6KosBwHDhTJRkZMPNMlxfYP0cynfG+tm3nVXqTZFlIotZwjg1txX3605/GL37xC9x///2IxWJezG48Hkc4LF4oV111FW644QasWLECK1aswA033IBIJIIPfvCD3rqXXHIJrrnmGrS3t6OtrQ2f+cxncNhhh+GMMyaOlywFs20gMIAbislMWbrlZIkaAYnEJ1i7BozsmGRVoV7rZLFNz0DUH/6FKCbR3A7S0gmpYx5o56IJE+sIodAWrYS2aGXecm5bYLmMKGushScs/AEA9p7NYIN7oZ32QZBwE8xn/wLzmQdBonHQeBvs3a/B2vRPyN0LhUFFqKgC17WsdKEHI+dVO0NhsleJEsEmY2gJKaAESOVEWWFFoiAQLwbdEolozDHIVs5pwrL2KF4bSOHF3lGM5ExsHkhj84AwyGRKIBEC3c43iJo1GccvbMWi1nyDMqVbeLVvFFmTgQBYMSeKrjIG7oRt6RrA5Tw4VILwKXKhoFFCl5q0zQP6dwDpEdibnoS04liQcP4AjEgy1CNPh9S1RMRgF0j8UWfAxjmH9cqTMLc8A9gWuKmDZ5IAGEhTK6x926FoUaB/B9iiw8HTSW9QVurlxDn3Gb8EtKVLJIrOIFSSAEdP1VVtOFBwwyJM04Rt24EBfADj9wJPlyzadOAqT8iKyNuwbRu2q39cwzk2tBX3gx/8AABw6qmn5i3/6U9/iosvvhgA8LnPfQ7ZbBaf+tSnvEIYf/7znz0NYAD41re+BVmWccEFF3iFMG677baaH26zPT7sQCTvmlR7o7vr1ziKnBAtCtI2D3xoD9jrzwBLjwZtqU15oRCiaNDe+B6Yrz4F1r8TPD0idHX3bYUFAFoE8uK1kJevA41UF9NMJBlSNN9Y4pyDj+yHtec1SD3LIbXNzfveHtgD2jbXUxmAogLZUVBNAbENkDnzYA32gsshSEuPFLJvJaqRcc7Bs6NCig5cyM8VGnjuNfdds5gmYzBjIK7JkAhBWrfQFhXhJjnTxuuDaRAQNPs8w6JwRgyHzGnCvlEdrw+lsS+ZQyInCldYjq9DoQRzm0Uow/L2pjwtYMY5do9ksXM4Cw6h57u6qylvP9WETrmhVgDKPqcIIY6sXhIsOQDaPr/YC0wIpKVHi+SzXAr2q0+ALlwL2l5cBEiau3T8g7IMsEwSypqTILXNhbXnNZibnwZVVKiHvwnGcw/D3LUZUkcPrI2Pgo2OQHvDO8qfY7LfM36ljgXF13cGoJRCkiTPy1Qv75kzTJnxdweVJMA0ASd06EAwigKKcT3+7mCHMQbqVJPjAKjjJZ4MlBAwiGffdOFKnboz8FSSYDnloS3TrFpicFbpAM8krq7c/t5eNDc3F2lyBsws7siQEFJxFRgXV0+VaFFIJQyDesAZA9v2LPhILwACuvjwkkbIpPaRS4MlB8GSA2DD+2Hv2zoWYkAIaMcCEX7QMR+0pbNiyTXOGfhIH+z922FtfxF8VOjySovWQjvu7Xnr5h77FWjHfMjzloEP7YXx4t9BtDDk9m7wSDOk+athbHgQ0oLVUJYdWbwvywTPjYJlEnnVzKSOhUXHW0pvMmfZ2DmUxXDWEPGWBJAIhckYTJsjokhY1hFFS1iZ0AAwbYacZcNiHGFZgiaXNoZGcyZeG0gjbQiPbXtUxYqOaJ6kGWM8LzluIizThGVZE+pac8uA3bcdAAdtm182cYxbBtjrz4qwE0CU016wpiKjk+tpsIFdgJ4VJaubO7zf5R79JZAbhXbK+0Vy3PaNsIf2AXoW8rxlUI58S8ltstHBsbCj1rmg4cbRVuecC51pziHJcl08pbqugztVumbaq5zLirh0v3ZrwIGJX6u3kMn2xcm8c6vFfVabhgHOeV6RF1d+zbYsrxx0pTrADe0BbmSC0XNj4eml1vJAd6Z8eQk5qXpBKAVdehTY9ufBh/aCbX8eMLIg3cvL9iOeHhaGh6kDSkgYHvHyhisJRSGFopA6F3rnY+97HdZrT4P17wLr3wnWv1OsTCWQWBtIuEkk5HEOcAZu24BlgJuGSJ4ydbF/P5IMqXtJnsfQlbmCpYPvfx12Zkh4H+PtQLQFdMkRIgaVEPDM6Ni0OmNCq1ZPC2+g5XtYEwLa1C4KkJQKjyhRIS0kCwO3LyWhb1SHzThCCkVXSENzSPY8skXFGThHImchpsmeZ1eRaJEur5+MYWPnSAb9KXHMMiVY2h5FZ5PqW8dCImOAA9BkiqimIKRIEz4/xlV/8EFkFSTaIvpKsg9EW1QUwuCuR1ccB77vNbB9W8BH9sNO9IPMWQjatbSkIcwtA2zfa+DD+0AicXA1DL53MzC4G3TZOhAqgedSIMx2NHvnQmqbK2Lq+3eAJ/rAs6MgPjUVUdxkEDwl4tZp85yGMn4Bn/fMqS4py/Kkn/WN4gEGxLOIO+WTERjABzSSJIGGQl5iJwcAJzlussmQ7uCJT8NsglddlZAiIQK3uiKjFDZjoFXcY4EBXCWlEm8CZh5XlLuWm9AzKKfQAAZErC1dfCSYEgLf/zrY3s0guRToosNLGrVsYLcwziNxwNTB9r4GauSAzsWeAgIhBDw9AjbcCxCRRESaO0ThCSpBnrcC8rwVYKkR2Hu3wO7bDjawBzB18EQ/uKMgMSGy6nh2V0BasMpTseCcgfftABvYAeTSoFpItKOsgbT3QGmbJ0o7u1XZercB4OBgsPp3OMZ1wb2khkHDzSDhWFljf7wSwRIlmNscRrMmo39UaFO2RWRE1DFPXuFvRnIWXtyXBAEQC8loCSuYE1URUfMfkabNMJwx0ZfSMZwdS8TobNKwpD2SpyCRM20Mp3VENRmKRDGaMzEwmkNXPDyuYc1c4wTlwx/80Fg77GxShCgM9woFhhL3ASEEpGclSGs37J2iEiHv2w67bztI8xzQnpX5SWqcg6dGQJccCepoM7M5i8BefgwYHYLVuw1E0UAj7eDpYRAtAsZsUEfxgSf7wTMJzwAWUoP7wLOjznF3gM6Q2sNEuKEPbgzlpKu3lYhXnykoIbABMcPgC/titu1pBsuKEniHDxD8kngAPE1ot4JqrSWz86Qop1hz2EWSZVi27SVxusftVju0TBOoYsYmMICrJDB8GxM3DqlQSqoiPAPY8nRMpwpCCKT5q8G0CNjOl4Q3WAlBmr+6+LDmrRLV4pwYWda/A2znS5BauwFVJIGykf1gu15yEps42PA+0Lkrigof0KYW0JXHQFl5jDAeMwnwxAC4nhVeXkIAKoxmyKooiqGEQFQNRAkBWrjIs8jTCdg7XgAc+TgQCqlnOUjbfJDm9uL1TR1sZD9o5wJwZoKYY+oORI2AhKIi1neC0AzXKPG3aal1opqCnGkjpVsYyZgIK+U9eTnThiZT6BZDMmchmbOwczgLVSIIyRI4hPyZbuUnw7VFFCxsjSCmFT9Kk1kDikQRdwpchFUZ+5NZDKd1tDeF8mKI/Uyo/lAAoRJoaw/Y4C4RPjLMQVvmlu3HJNwMaeUbwEcHwXu3iH+T/cDcfA1gomiQFqz2JMkYs2G99gzY4H6wXb8EiTRDWX0CiJ4CH9wNtM3zrjmJtgLGmDC+qPC2f8z4jXeBFihCNBJudUm3hLE8SQ+X+8tGeHtIspxXHINSmhdzDojwoiDM78DEUwRxtKEngysbOF0GcN7sjBPH7PcEH1BJcI1MMDpuHDjnYx7gWq6LrAqFAdsE11NFWfJTAZ2zCAg1ge16GbRAn9WlsFAAaZsH7HxReE3VsIgr3v0ySKxdxHNKMtj+bWA7NopQCbm018qTo6rRAOGmLqbG+0W1RUgK6LxDQNrmlU9oSw+LRK3mViDeBhJuFsauogFS5dm7rtfCfXCXy252l7VENKR1C6bNkDYsNGmlvQNzm0PojmnIWQyJrInBjIHhjAnD5jAKCk2EFQkdURWdTRpkSpA2THA+5klzPfMi/ELyvCSUELREVPQnczAsG2G19OPXG8xV0ZepFgFae8CG94HnUrAHd0JqnVfUh/ztQ5o7gOYO8FwafGQfEG0tXs8xfjnnoFQCbW4D2/861HVnQl4gBm0ssR9sywbhBfa2QYTyiSudlvZVeGubV3epwamgsNrgZCTMGmnm0I0rd72ArtoIIEJuGGPAJL2DAY1Nudmzqrfj/DudfUSSJHBFEeWXMeb9tS0rMICng5morhJQnsmKYnvZ9KkhIes0TTGJNNYOsvrkcY/ZH+vE9r8OKBrgTimnhgAjJ2TEHMOTdCwAereAJ/uFwVxHOLPB+7aD7dviFV8gbT2ieluZwh7cyMJO9AmZLgBEi4K2dJc0lMfdN+ci09caM0YVRZkwk1miBPGwipGsgaGUDk2WyoYfEEIQViSEFQndzSFYjCFr2MhZDJQQyJQg4hTWMG2GZNZAxrDAOCBTilhoLLGOcQ5FFuu52waAsCKDUoKcaXvGcdG51jiYo07IiD28FzB12P3bQZvniMIS4/QxEoqCdC8v+73/+IkkQVm0GtKCsRkLGu8Ci7bA3v0K6JzFIC1dYL1bROx2JA7mqXk4Mb+zwPgFSkzxTsLp4bV/AxjAgHiHaW5sKOcggOdNY4x5CaaB5v2BiV9icVK2jGtI1+OgqsDtk27yGyEEIASqE6rkf0+Mu50pO8IDFLfMX0Dj4HoDJzMwoZE47NSQSMayraoNtFqp2Pjduxl8cDdozyEi+YhzID0MqCEQLTq2rmWImMtcum7HyC1TSLj1bRtTlYg0g85bDdrcUfo3RhZ2sl9oIANC77cCY8w9b8aY54liPg8/MFbZqlIPaXNYQda0oFsM/aM5dMZCkCeo9ga4Ri1FKfE4izEwDrRGNOQs29McdhEGM0XWtmBYDKpMvWsU1WRkDRutvjhu/7nzGjzALkSLQOpYBHtkH2BkwRL7gfQIaHOH8LhP4mXH9Qz48F7QxUd4xwo4YT2LDgPr3Qq2dzOw6yVxveevBrd0sOF9Yr1ws89DPDugkgTbsmAzhklN8DaQB9ilMDbUxZWZshxpqVqLDAQ0Ju7zFagsx2CibQGYkQIvslMAw62Y6SYMFxbKGHcbU3mAByLVvHgDpodJhT84EFnEvMLMgWeTM1aK1cVLcDN1sN0vg2dHQeevBm0d093legZEzS/EANuqOSOXcy4Ka+gZMRBIJ8BTw0LdwZ3skjXQ+atEuEMZ7yVL9nnT3YAwfGhzB0hhIYuCfbuGBi8Tl+ZWOKr2hUwIQUdTCPsSWZg2w75EBm3RECJq7S92TZYghQlUWQI1CAYMEdagymMKD5pMkTOFEoTqC0fRZAmpnAnmhEUUtoP/uGuByAqk9gUi7GR0ELB0sKE9IlQl2goSaa5YAs89JkKIUBDRoqDNc7zj47YlYrjDMUhLjhT9hVAg0izKG/uMX9rSPesMKUopbIi47MlkujdSCEQl5MUJGwZURZnS3IiA6cOL+60hZraQeoVS1Eotcb9+AgM4YNbj9wBPBhppBkvkwDJJMX07gy9rV93B3rkRRFIgLT5CSFG5JWUJEcaqZ1hxAATc0gHOylacs7esBzd14eGmsiN9Zom4YjMnfluKUAx0zgKQ9gVlvePcyMIe3ieOCxMbvm78IXOSKArP3/XoE0JAfP+vBVmimBsPo380B8NmGEjl0N6klY0JnghKhPELCLk01VF5aG8aMyw1RYJqSkjrJprDimfsZg0LikTF7GHB6dSrLxNChCJIuBksNSQGJLYpQhGS/SLswY3DnmBf7kCMpwZB564UnuDBPWCDu0Qse9eSseS3plZwMwc2uBvcELMFJNICGu+cdcYvkH8d6mEAT3Y704U7y2I4+sW6rkNWlMAbfADgJtlKkwzlrMdgvdx2mW17DoJJh2mMQ2AAB8xq/NnLkzYaws1Aol9o2aaHZ9QLzEYHwXa8ANIyF7Rnheex88ufgVBhwDJ7zKOXEYoMpEycJc+mACMzfja6ogFqRHgKoy0gsfZxCyaMJbk5kmqSDNoyVyRmlViXMeaVr/RDnCpcU/WSlSWKrnjYid21ES2ThDYefo+Hex1kKhQeklkTba7n3nl4N2kycqaF/cksYiEFBIBu2YiF1JIqEPWYzfBDJBlSvBM81gGeTYClHa3mXMopAU5EmWs1Iq6xEiqtuTy8D0iPgO16CdDTQCQu9IPnLBLfW4bQc84mx0pXN0h548ngaYwyBmbbdZn9mw4D2DUiiJMgVAtuspxpmuCMwTJNsU1nQBoYw7MPf9LjRBrj043bZ01f+IINAKZZVLRlvHvIjW+vhMAADpjV2FVKRo0HoRJo8xywZJ8w5iQFNFxd+eB6wXtFFTc+tAcsMwKoYaGP2zoXcIxbEu8E2/0KeHIApKVLeN76d4LE53iJcoVIS48URS5sSySyESqmsBVNeI0VrbrpcVOHndjvxfqSUJOY6i6la+yIrxd6DiRJApWkaQktEkoMGuLhyo0Qv9Hr/41ffickSxglJtK6hSZfLLAqS+hoCmE0ZyKZFWEPsZCCphKyaf7YvJrk/MaBUOokpbWIkIhMUhjAtik8up7RCjEzICveLIGIObeFcdzaDcQ6RDEF2wIf2gNu5oo0tEkoJrz/ZZRIZhOuMsJkJKP8CXXTEQbhlocF4Gn61jKDQimFqqpeAqrXBk7ykeKERhTFsTPmxYUy2/bK78JpA4lSwEm4444TgzqD34Cpgdk2DLcqnDOwmwxeolmdQinMAlk2ybnvXLk+1wjmnEPP5UAIgappRfuupp8HBnDArMU/mq3Xg5NEW0AsAzwzAja8F8DMlGmly9aJYhXZUSCXElJVyX5wNex5d2n7fFEEY88m8IFdwhBRVOGZKxOmQKKtk87YFdXbMkJLOJdyNkycJLeWooePq9vrl1tyY3lnKp6+kgdkqfi2nGljJKMjrIqqcu53skQRkiWkdBNNIQU24wDhkCmFKktob5JgMQZ5nPO1LWtsNmOKDAFCCKCEIMVD4M1zRNU/PSOup5ETgyJmAYblzRK41aPQMV/8PzVYegZBCYG6oRUHgOHr4vZR1wiutc+KQYOoyIUpNPTceHoXf0KQqqpV9y1XE5lKkncPu33VcErhutt0Y6VL4R8ilcrRt20bzEkyDzzL9cW9VsBYeMtk2thVXwAw6VLh7rG5s19uOWN3wOh+52pTu+txTD70IjCAA2Yt3FEJAOpnMBBCQOOdYNwGz46KJB5mg05z9jqhEqBFQLQIgK6y69GeleDJAfBMAjTaAjJnUVnt18nCsqPC6NXzFSZIqAm0ubPkft0pLb9hpzT4Cy4vzhoAYxzJnCkS18A9qTT/OUiUIKRKGEyJcIecaaM1ooqwB9dIHsdwYox5HpXpah9hDGuOhJ3o35w5pbBtUyRUMlvMFnD3XnMClykV3mFZEYVSZO2ATZJydUbd0B1aY1W46UqEc/uRmzTqH1gZjrZvLQ4D6gunkGXZG9QWGtylfufKq3lqGD5PH5UkEDhGlWNgT7ryXoCH610FUNZrWuv2XEfGZLbl6lEDKAp1II60mbuOoeveu74es2SBARwwa/F7f+tpMBBCQFvmghFJeIITfQCRQCPT7wmeCCKrIG09QFvPlO6HpYdFO7hIitD0jbaU1wD2eR0AVP3iZYyjP5UDONAUUial2lAN7j4yhoXRnImcaYuKbhFRGrkwdpcxjpRuIpE1hJ4qJehqDiOkVHau/hcKpXRGY/MIlUSVQZSP+T4YkWUZxiSrwrkliNkUGsB+Y9RNWpNl2Zs2BuBJm00G14soO7NwnDFwiMQqN2lpPIUAd33/QJPadt0q7wWM4Q+tqkdhE7+KxGQ1om3fjEGh8euSl5DpDxOrw4A7MIADZi3eA3YKPE+eJ5gQkeA10iscXzMQDjHTsFzKM35JJA7a1Fb1FHe1ZVU5F8ZvzimXnEsJI7S9SYMmT62ByDnHSMbAaM5EVJPRHQ+Pu0+LMeiWjXg43+Nbzf7cvhxU3mpM3DhXN+yqlhe/+5xyY16n4jrneVZ9z8W82Mo6FrYopyXsflf2d5QWhWKViq8PqAO+gUhdkjjroLtfuC1Jlsc9Nuq7/wgh4MCkYvJdAgM4YNYy1RqExIlrZbYJnkuJMrN6RsS6VpEoNlsR6g4jnroDicRB411VJ48B1V+jkYyBnGmDQHh/07oJ02boTWQR1WTEw2rZim6ThRCCWFhBPKyCllBqKESVJcyJ1e4xdT12Uyn3EzA53HACyzRhWVZNs07TIYVWalYsb8q6gRPN6q2AEjA1eKXa69B/K036LSwQ5EpnTvY+CgzggFmJ/4aYSqOBEALa2gM2OuCUSk7AzqVAYx0VVTWbTXBmi0Q6ywA3DRHr62r6hpqqMn7FBmu7PrppI5kT+21vCjkGr4KhtCg9nNbFX1iR0BxWKw41qIbx4nXryVQkcgZMDZIkiYSyGr3AeZJqk0imK0e5vuT3lDVyghmvo2EVMEa9A27qNVDJe4dXsa16aXMDgQEccAAw1Q90Qgik5jlgWkSEAliGKDGbGnQqa8VnnUeYcy70YPWs0G81c56xm8c46g4T7sO3jWqOazCtAwCimoyoIxcmUYo5sRB000YiayBr2s5fFjFNQUukMm9to8HKTFkHNB6uGsKkvMCUAuNUO5wMeRW+fH1pqnIl6g2bBodGwOSop+OpmhlCt2+7g8h6aXMHBnDArIT7bojpemBSLQoyZ7EIC0gNArYlwgNGB0Fj7XWrHseNHFguJSqzESL0iCPxsslmFW3TtoTclZkT8mrlqr5JiojvlVUQNQyiRWo27r0HZRW/GckaMG0GSoDWSPH5aoqETiUM02ZIZg2kdAujuomUYSKmVR620Ahwzr2MfVf2J6Cx8XuBTUdRoZrr5pVWngID2A2lKQx/8Cp/1TH2dypgQQhEw1PP6m9+T/JE2yo0uuuhzQ0EBnDALGWmapATQkCaWkGicfBMEiw9LDzCyX4gPQwabRMV1GowGrljUPNssug7Oz3shCF0li0tnLctzgEzB+ZW5rKM4pUIEUauGgHUEIgSqqsnu9pr5BaLAIDWqFayUpqLSIgLIaJaGM4IozmZE4Uo2qIaIiUKTTQa3OcJnGw2dcD04Gaku6L9hq5DcTRyK8H1VrmetHo9v/yVFfPCHxzjdzodBbWQJ2kZGMANS7miQLVQTdGfIgPYp809mfsoeOoGzEpmygB2IYSKohmROHg2KQxg2wJL9gHJfpBQFHANVdsEqASiaCChJs+A9WJujZxXjMDbfqgJRIuK9fS0V7rW1jOOt7kFhFBR/S2TFF5d24Dnb2V2sYdX1kTZWyUkvMny5PQgJ8T1FlSwj5RuYsgJfYiHFTRplWkZh1UZIUVC1rQxnNZhOdJpMUtBa6SxFRWsEh67gMZHkiQQVRUC/Y7UH6XUq7g2HoSIamhw5JzqEffNGPPKx8oF2fS2a2Q0eB9jMzCjd9BRj9nJOnrpq4n/LdxvvfpIYAAHzEpm2gB2IYSIGOBwDDyTAEuPiCQyt0KaDw4AiT7HMOaiwEAhSghSvBNE9akKRFtEyeGRXuHVdcIuQEhRCdqCgwMJxYQxrYbLVoebKiq9RmndxGBKGL9NjsJDNRBCEFFlhBUJIxkDyZyJ0ZxQjZgTCzVkUo3tZDEDjT81HVAMlSRomiZKDjvX0vUGT3Q9KSFgbrngSRrAeUUOKC3at1+yqpFhPkM9oM7UEIpWflP1e+9Ws63Cdd2Bklt2m9TYb4Inb8CspFEMYBfhEW4FibQIb6yRAXcMXCIrogSqkQGMbH6ymSQqaRE1JAzVMvq6RNEgdSwU3ubRAac6l/NdKAYSio79lnOASmLbM/jic6PFxrtGls0w4DN+26K1e6UJIWiNCp3gAUdDuC+ZQ2dzYxnBbmloYGL9y4DGhVAqirswBss0PU8s8VVMK4VfCWKyWL4qi2qJeORGe06Wo57FDQKmjnpJoOXJmlUhgVaoFc05B+McxMmncDW2lQqdCoEBHDAradSMYUKIiKdVQyW/57YJbhkghAoDtQqv7Ji3uRkwdSdBTm5cBYoKPA9pXQwSNJlOyvj1E9FkdNIw9iez0C0byayJlkjjlFb1Vz8KYn9nP9QxhN24YNM0oWnlE1brFb9YWDq4nPELNN5z0k+hxmtAY+J6W4H6SKB5VNE3SxVLYc4A1K8QYY5TmttP8PQNmHVwzseMq1n2wCSSUlES27jbcIzsRsd7yI3zgHMT3WxWX7VKVR7rF4rUWC9/12hpZE3WgOpwK6IZhjEW+15u3Rp0TF2NX8lXZtgrbiHLJWOJp0JpYiqYLYb6bIXUa8DlGpV1jtOuVAGicF1CKWDbYM59oahjTg6WzVa079llPQQEIEiYmG2Md4UimgxCAItxr+xxPRh1CmnIVMQHNwp+5Yeg8MXBCfHp9FaiB2zbNvRcDpZpwtD1/LhfUr4UMZslCXABU4uXeInaB0V+yUalDpKNhVURK13Xj3+2oNbY8cAADph1eKVjZ5n392Ci0ikuSoin+OAarZOFce7JqcXDjaUE4Xp/K9G+DDhwcZ9d9gQGCWPMM3YBcV/puZxnyIynQ+zp/zb6c7JBw9kOFAghXh9wnz/V4r5zCSEzmqhYzhtca2GZBr8zAgLy8SePBNnzBwaxkDCAs6YN0578tG0ya4JxDokSr5JcoxCUPT5wqSaIx4sD9sWDF23P5+mllEItiCtWVLWsEyAvrrbB+1q9S/UGFOP2gfH6Wzk457DcsK0GKtjjnwG2LAumYXiKLJUeY2O9HQICJsCdhqGSFHiAG5hq4voUiSKkSMiZNlI5E63R2ivemTZDIiuMhkbTAXZj8IDGMYC5o0frj6t3Y/xo4KWeMmgFccB+Y8X19Kqa5ukHj3dtgjCxAD/+/lat/jTzFylpkOeWC6EU3CmHzBgby6+o8DgDAzhg1mA7Ae9AkD1/oBELKciZNtK6hZYaDVfGOQZTOQBASJEaKvYXyA/daQSjxLYsr4BCOSRJ8gabjXDMBwruAMN9aRcO5jnnXia73+vmZrlPhGsIzAonQRACMeW4oQvM8ZBWYgC7fdNfSrte1yhvO5zXXKSDUioGigC0UMgbMI6Ojlb2+5r2OkPceOONIITgqquu8pZxznH99dejp6cH4XAYp556Kl566aW83+m6jssvvxwdHR2IRqN4xzvegd27d0/z0QdMBmbbY1nPgfe34alWfzSsSCAEsDmHUUMYhM04+pJZ6BYDAeomqVYv3Cx+oDFCdyyf8esaY5IkFd1btnPf6bkcDMOA5Su52yhwnw7vbMI/LV2IbVmeYVBtf+Gc5xktjU4QAjE9SL6wm3K4oTNuhUPbsqZ81moy1989Ju6ERlY74zFrrIj169fjRz/6EQ4//PC85V/72tfwzW9+E9/97nexfv16dHd34y1veUveCOCqq67Cfffdh7vuuguPP/44UqkUzjnnnJoDwgOmF/dmBOCVHA04sCCEIKyIh1nWqEzD0YXxMeOXEqCzOQxFaqxHW14SyQwP3lyDERAvEFXToGoaFFWFoqp5n/OmTm3bUyLI5XIwZ9jodJ8Luq7DsiwYuj6rnuney9sXr+t+nkzGvXdNZkv4QwVyie4A0jQMGLru9b1q41kPZmiZ/ubiqo0Yui6eD67hK8vjxptPNeP1Yf/ztJZ7v7HeEmVIpVL40Ic+hB//+MdobW31lnPOcfPNN+OLX/wizjvvPKxduxa33347MpkMfvGLXwAAEokEbrnlFnzjG9/AGWecgaOOOgp33HEHNm7ciIceemimTimgCvyeqvGyngMah1oqUIWdkIWMUfmDjHOOwZQOw2aghKC7OYKQ0lhxan6DphGSSCyfEkW5+8k/1Z7nVXH/5Ry2Y3S6hudUGSOu0L3f+2xbllBDcF96znGZjtdqRqnw+vrl0EzD8NrPHZwQSmuKufQnWs50X6sEr2Kkf5nTFm4ioJ7LiUIjTry0OyM4mwY8M43/Pi70AvvVRvyzVYqiiPLeU+D9ralvlnjGuLMcfm91pcwKA/jTn/40zj77bJxxxhl5y7dt24be3l6ceeaZ3jJN03DKKafgiSeeAABs2LABpmnmrdPT04O1a9d665RC13Ukk8m8P2BizbqA+uKPQQqM39lDTQawIh5kps2QqcALzDnHSNbw1p0TC0GRG++R5kmfzbCEkItnNJTxBLm4ZXYVVYUWCgmheeez3yPkvjynwhjhnAuPlGV53me7IHxD1TRomua9pE1feeBppYZ9Ks5slqtuk2d81DBYygt/aIC+VhElPMD+Yh+MMciyLGYmVBWyokDVNEiyPPODnQbGbT//fem/Z/3rGbrufe/2uVoHYLUcZ8XrllhWmODnv4cmouEDhO666y4888wzWL9+fdF3vb29AICurq685V1dXdixY4e3jqqqeZ5jdx3396W48cYb8eUvf3myhx8wSdwHXBD3O7uopWSm5BStyBgW+kdziIdVaAqFVGAESJSAcSCVM5F0tIPbolrDeX5dWIN55CghYI7xa9t2yYRS7ztF8e47SZJgEeIZJJKjSOC+PKcNXxv6j8+tDDXdeJ5bN/GsmhhEx8hgti2KpLhf1DhYmnXhD/AV7Cg4Xtfjr6pqSd1sSikspzzvbKsIOh3YluWVyyaaVjaR1W+AutXU/FUHZ5qJFIUIIZAkKa80eKW6wA1tAO/atQtXXnkl/vznPyMUKl/6tVQN9ErK6423znXXXYerr77a+5xMJrFgwYKG6BAHC37N30D1YfbgSmsB1WehdzRp6B/lyJq2kDOroKJla0T1tIQbjby2aBCPnKKq4mVhWWW9hLzE9eOcg1IqDA6fKoEWCo27rcnghj3Ztg1wDuok6nFZ9rQ/uTNF64YOTFeJacuySk67Vpuj4B4pR20zJ378DoPZ8K7yx6O6Xl/3X8aYGOCU6Ve2ZYn+OQvOc7rxh10BIsRG1bSS/Yv5nBXu8ml53xJS06xJKSRZ9maLC899PBp62LRhwwb09fVh3bp1kGUZsizj0Ucfxbe//W3Isux5fgs9uX19fd533d3dMAwDw8PDZdcphaZpaG5uzvsLmF78mr/BCH/2UI0GcCGEEMyJhdAe1RBWJMiUgBLxJxEC6tucKlO0RzU0h9XyG5xh/FONjWKQuOVztVCofBWxMoZYqdcVIWRKjU5JkqA6yXnui1mSZc84t0wzr1radEz9uwmBhcZvTVJRvrjqyRjA/sHWbAl/8N8fhpPgBjjn79emdnBDPNyp/aDMc2n8SbdwBhT+wVqpKmrTPcPqHcFERnAFRrI/vrmaqnAN7VY7/fTTsXHjxrxlH/nIR7Bq1Spce+21WLr0/2fvvOMkKcr//6lOM7N59+529+44uAOOHCUHPRABlaCiomIAQb8oX5IE0a8JA0cw4VdUfl9FQIkioJiQQwVB0nEEyQgcx6W9vbC3cWY6VP3+6K7amp6wPXlmt96v1yk709NTU11d/dRTz/N5tkd/fz+WLVuGfffdF4B/Ez344IO48sorAQD77bcfTNPEsmXLcPLJJwMA1q9fj+effx5XXXVVbX+QIjJyLJvy/jYX/LqVqh1LCEFb3ERbHq9uuV6yWiJ7f5uhvYIcO2S8WEYj/A7uGXYdR1R/Amrr/QX862oYhjBeS/Hyyx7gcjRxM2LNm8RhIO8UhRVFeIwvY8x3gAR9LF9r9WzIJpx0ywAhEygWbDk8wMWE7lSSqcxb+f189wUPgxD3ZcTx39Cjp729HXvssUfGa62trZg1a5Z4/fzzz8fSpUuxePFiLF68GEuXLkVLSwtOOeUUAEBnZyfOOOMMXHjhhZg1axZ6enpw0UUXYc8998xKqlM0Ds04mSt8Sg1/iEojGGBREfG/zTqGJZF6VoaRVw2457nWnk8qGdymYZS/OyV7gMVLxSe/yeEPzYK8WA7LmvEwDtdxAKmynVycRZGN3IearguPKJU86iR0TwPF5WtUArkNBYm4KNSDsCggutOsoQ3gKHzxi19EMpnEWWedhaGhIRx00EG477770N7eLo754Q9/CMMwcPLJJyOZTOKoo47CDTfc0FQTxUxDTOZqhd9UNGLMa72QH+jN1hda4E3xKIUh6Ww22oJUeIKDeNBqL47kCm16hUKzcsl/FfM7GKWwJRm1ZpgzvVAIiabrQNCvtm2Loiz8n9h9aKCx16jIDghCCMD7LEdoWjnhauXCk1anClmIGiVMCIFpmmAAiBQSVfAzTOl6RWJkZASdnZ0YHh5W8cBVRs4sLxSnqGg8uFg9oK6dbdugQZyiZTVunHI+HMfx269pYPC9daZlzWjHgSzBVqnxze8ZnvwFAFaQtR8FO532jR5CYNWxYEFUGGNIp1Lib03XYZpmxmsqvKF0+HgwDEMkZKZSqQy5OS4qwOUFNU2DFYvVtJ1Rn/OltDGqvaZGmKLhKDeGVFE/mi0LvVpMhxh2wzDgBbJnQHFG2XSEMSaM30oWNMmIAeavRTy3rJTTyMYv7zstiOUFJjWcZcOfM5PnjnLIp8DDpQ+B/AoQtSYjEa9AbkEpkppRac6ZWTGt4fG/zbZtPNNh0sO4GbZhq0kjlT4uFa4WofBxpeIbFR3fUgxwLgqFnsglrRt5nPHdBLkCmayYkaXxqwzgksgIaZDGA9G0jDhqcXydFCB4O3jsN6U0bxuqmfTcuHeMYkYix03O5K3WZsSVPPeN/DCuNuEsbEXzw4sKANVXmpAlnXh4BC83LUObZMEZNnw5Bed3ZQCXRC5NXyBzQZEzAa5O/c2N9EJxwNxzXY1F0cx9SikaEiatUtU2WHNBleceQOOVPlaUh+d5IvSBJ2VVkvA8F94a5oR1hz1Jiq2RF5zyjh7vu1yLCJLDSFMUhxw+KJPhDc7xuUbu71whQpWicZeNihlJvSRZFOWhPPeT8Af+TI+Dng5QSkVSp67rRVd5iwIhxK+mF3hKZW9uWCHCdRwQTROlXwHAaOD7LSxRp2la3mIhhmnCc92q9PFMoJAcoKiYJ8kY1lMBgpPPYJchmgbG1SIqPNaVAaxoKFgVtzsU1UMlLvpQSsUuRiNvSysKIyqOBZ5fTdOqGvog4q3DYyb0fZ7nAUEZa/5+IzsLMqQAg7khXx9Ww7s+k5B3nnL1cSwohSyMzTqHP0TVINY0DdTz4AWLw0q2V83QioYiXwlWRePCGFOJiwFqITA9cF03I5HRtKz6Xk9CRDEVz/MydlsadZxxjzVQYoloRVFMtfMUNozZ5Bs1aF02ovLfFInCuq6L8B8uh8ZQmbFfkgE8MTGBlpaWsr5YochFNSVPFJWBT0SyN0GFP/h4qghI00MlD6thGA1hvBEAZqAlTRxHJFk28v1GJUNdJYNWFybvPEUcE8L7WrVWFSZqxVC+AHVsG17gCQb8mPhy9aJLsjJ6e3vxyU9+En/961+z6ncrFKXSCDFJitwwxkQ2ejqV8uMVKfVFyqX66zP5ujHG6iorpCgPvpMhJ7xVW/FhKnJ9sx4UODBMs+hxFi43XE24KkwlNZMVufGkeSeq86jeChDFzJW6rgtDV/Zku46T8SwqdmyXNEv/6le/QiqVwgc+8AHMmzcP5513HpYvX17KqRQKgTKAGxPqeRlGLxDELJqmyEDXg2pOMxm5b5QB3FwwSpFOp+FIJYXrlYzlui5SyaSo7gZkz42GYRTt+eKVt+x0uupGsLwYbGQv9XQhSjJZFlJluHpQrAFumCZi8Thi8TisWEyMK+6YcR0H6VQKTkgtpRAlzdInnXQS7rjjDmzYsAGXX345XnrpJRx66KHYaaed8K1vfauUUzYdqoJ05an3ilSRDWMMdpAFz41e07JgxWIwDANW8N+mZc34sBUlA9eciDHOk7V0XVQoqwc8bpZ7oisFD+vgagGO4yCVTCKVTIqStJVCXgzO9Hmh2uSr/hblc0B9k+CK/X65cErW7gzXznbdnLrTuShrZLa3t+PTn/407rvvPjz77LNobW3FN7/5zXJO2fAwxjK2gRWVQ8X/Nh5yZjE3ehs58aZeZCQCqvHbVMj6urFYrK4lhTMcK6HysOU4XeTxCfheM6EkgcqHRpTkkVSURL7qb1N+jn+mDnN5rt1e13WLCqnlscFcoSUWPJ+A6IvHskZnKpXCb37zG7z//e/H2972NmzevBkXXXRROadseOx0Wlyk8CSiKA8lgdZ40CkyixU+8oSuHvrNBY+fbIRdjGrl1AiPWOgelsMoKmoAq2TQmpGv+tuU1DEJLjzWKKVwHafo8BxN04RjhpcoL6YPSkqfu++++3DzzTfjd7/7HXRdx4c+9CH89a9/xZIlS0o5XVORdeEYg7rFK4O8baaoP3KpVfUgK4y8BanGb5PRSKFX0vOlGgaprutgoRLKXFatkt+nQgRrR6mOI3GN6jHupXuOEJJVCpkbxJRSEe4QJZZc6GlHpCQD+P3vfz+OO+443HjjjTjuuONmVPKLFYv5yRGMgWjatPD28Mmvnr8lqii2orIwxvytJ2nLkq+iXakIwHQY59WEqvCdpoUQUnEDsFQ0XQf4fVfBRae8QNMMA57rZnnLKmkG8Up1nuepJLhqU+YCri4e4HAbNM334mqaUBwimgbTsiarMVpWtLFUbQ/wwMAAOjo6Svlo06MFF6rZ4YaP53l+ecRgKyHK5ziV9JjIK8CG8MTMAHg8u3xN+UOLGwVA/bLhmwklf9a88FKrlNK6G2s8rtFzXRiGUfZ8y+d5FvK4yfd0NTyB3ADmWsBqTq8epVy/jMVeHWOAw0ltgB9ayj25XGGIUgrqeRXfYStptu7o6MDrr7+Or371q/jYxz6GwcFBAMC9996LF154oWKNU1QHnvXsuW7GlttUeK4L27aRTqVgB5JBlUJtIdceT3owmoG6Q7hOvFnHhKBmQfYeqr5qPrjRKxduqCd6oEJRibHkOo7IU9EDycJaIMejRs3IV5RGPZPZSqaA15pSmhXPrGtaVTSsS7obHnzwQey55554/PHHcdddd2FsbAwA8O9//xvf+MY3KtrARkdsITdJQRDh9eOJH4G2XiHvL9+ScBwHWrBSM0xzcmuiApQi46IoHS4cDvhjQA/UHSzLEoawrLWoyE+G5FMzPYQUACbnnEYJg+DweRco3fvLlR+4fGGuYziVHLuEELGYVmpJVaaUZLY6a+4X8lrzHYOM8JwqtbEka+NLX/oSvvOd72DZsmWwpJvqyCOPxKOPPlqxxjUD1PNE9mKjG8GMsQyRaCsWi5Q1yUsQmpYlSg/yyiyVWJWVqmOoKB25els41pAbwupaRENJPjU3cuGSRvJWykU5chmvUyHPy/VYyArPeg2rz81ESgqBqFJbiv3+cIsLlWdmeV4vh5Jm7Oeeew4f+MAHsl6fM2cONm/eXHajmgn5xm50I1gWiI5q4Di2DUopzCAAPUOXEpXJ9i1Vx1BRGjyeCkDdS71OB9TirflpNG+l7BQoNRxC1lXPd49Xs/qmHM6m5EKrgyv1K3dUFUW95v48IRD877BtwRjzjd9Kj9FSPtTV1YX169dnvf70009j/vz5ZTeqmQibf416o8tb3ryE7VTwSThXzXlKqcjwLXfiZGoLuaZ4svdXGW1lIXu3lFRc86JLse+N5q0sdU6MsjCr9uJNDxLGG2VhMZ3gu88cTdOEw2oqCnlaa0Ehr7WmaTll0arhHCvpjKeccgouueQSDAwMgBACSin+9a9/4aKLLsKnPvWpSrexsQmtZLwGSaSQkWPJNF2PvB0my6PJkzClVCTQVeKhLypoKQOi6shxgfo0UDOpN3L4g1q8KSpFJTyzkQzgKofvNPLCotlxQs4207JACMlIbm5UCiXucW1qnpTKc6yMKhRjKmnUX3bZZdh2220xf/58jI2NYbfddsPb3/52HHroofjqV79a0QY2OvxCyhOI67pIp1JIF1nVpFrwuF9CCMwit7wJIRkB857nwXNdeJSKxKlyyBBlVwZw1ZGTapT3t3zU4m16UKmSw5UiLBNVyuenUiapRe6FvKvXyOGBzYjsJeW1GLRAMmzqD9ev+AtjrKD6lK7rMEwTTmBHea7rh+pVYYyW5AIyTRM333wzvv3tb+Opp54CpRT77rsvFi9eXOn2NTx8+MhbPJRSaLreMOEQpcZ78i1y27ahGwaYtN1rRqzMMhWeFKemDLLqQgOtU2DSW6AoHdnIUIu3aPAdCD4WtUDsvhHGotC+bgADWFCm97dgWFmNci8aqdDIdEHuS1MqEBH1PqrnlYiyu6Hn2KmuxhwR2QC+4IILCr7/2GOPif/+wQ9+UHqLmgzdMEAZE6sxXdehGwZcvmpphIk9iKkpZQIyLQtEUo7QA3HqShmr3DjXlfFbddw66IFOZ6qZQDQd4aFYsoeKSyk2ghHckIZauW0p0Kc0VByjWojEpkbq12lEve+bKMjX3pEqjOZre61+U2QD+Omnn450XDNcjEqiaRpisVjWlpVVgmxNtdA0DV6Q+e8G2148tpcbtIWoViWwjC045UGrKnJfT4dKho2AUn+IDqMUtiTrZQTyi47j+Eaw4xQdnlVpxFY9Y6j3bFRuL0RJcio3zCIq4vzKAK4Y+UpY12ORwZ8t+QzaXAtfoDEqjEZ+Ev7jH/+oZjuankY2/DVNg4dA/koahLzsrRm1xnaFUR602sFDdIimKam5CkGl8B1FfiilsNNp8bcs60UIgW3boJ4Hr85l5ommAZ6XlYFen8ZMykGVRATjttYGsPIAVwdZH5cbopGpwLX3AjUKQghi8XjW+2G7A4guwwr4O5fU8yqScxRGuYJmAPJAI4SI4hdekF3pOk7JWezl1HlnkgdNGcDVRYWaVBbGmOrTCISrmVmxWMa9rgUJL67jiHmoXh71hjTUSmxLFONWHFPt/m7Efm1y5L6klE6qP1AKPXSPVRs+D/LwoXBCKZdq47vNUyVg8zwBQgh0XReJ8sxxKm4Aq5l7BsAfPKZlwYrFRCU3Xl2IS40UA3+wpVOpkic2WiMPxExHhZpUHtmjoTzAueFzBGMMyGH8cuSYdFnXtNbIBnC9jbVyVSmiVAeT9derSUMuLKYRruP4agnBbm6kBWQFr4U8/4WvsZCFJUTYHVO1j+sbi2qlVZTSUzP3NIMPkvBg0TQtq2gFIUQYwaVoB3IDtljjWbRVbSHXBBH+oKTPKgaV5M/UAi43nqQ6YhVIciOEiHhAuUphrcloX5Mba0V5gLn6RZ5jyjU6Gk1ibrphxWKIxeOwYrGiPaTFzlye52XE8ocJ37tCgaqIeZLbAzxxX7ZbKi2l1/BPw7Vr1+ITn/gEZs2ahZaWFuyzzz5YsWKFeJ8xhksvvRTz5s1DIpHAEUccgRdeeCHjHOl0Gueccw5mz56N1tZWnHjiiVizZk2tf0rV4StB+d9UxqlsEBUT+0aCFR1QmvEMTE6GmjIgykYWDA+XkBRbUMr7WxFkj7rq09zw0CoAOStJhuELdMAX+K+HoZShWdvkhtpUBrDcv3Y6DTuHZj2lFOlUCnYQwlIqygCuLnzcVnMhzndznCBeP2OnJhSOEf4cUJyTK9d44fPHjDKAh4aGcNhhh8E0TfzlL3/Biy++iO9///vo6uoSx1x11VX4wQ9+gGuuuQbLly9Hf38/jj76aIyOjopjzj//fNx999247bbb8PDDD2NsbAzHH398zcoz8odBpW5+btTI5/RcN6ex6zpOwd9JCBFbDF6Rg6ucWu+yZ0F5gMuDF15xHUc8zBzbFn8Dk7HfivKRJQWVRz2bjMqTkmE7FdwLzHIkzdSKRtmuL8cbHSW5OPz7cv3Nr2GpEpoyjdKv05Fa7EBRSjPsiHwVb2UHTJRiLLmQjXk5T4ifP8rno35fQz8Rr7zySixYsADXX3+9eG3hwoXivxljuPrqq/GVr3wFJ510EgDgxhtvRF9fH2655RaceeaZGB4exnXXXYdf//rXeNe73gUAuOmmm7BgwQLcf//9OPbYY3N+dzqdRlrKXB4ZGSnpNzDGJjOgJa9pqXDdTD6wXM+DpmmTCTmGIb6DS484tg0iZV6H4Z/3XNf3xgYDaKobixtV3MjmyXVRUAoQlcGTVuOyjml40dMIOqvTAcaYKEEaDilS+Mg7QsWMO570wqtN1sO7TjQNoLQxlCAC5Cz/SMeXYAAD/rOF9zkNGTjlJDvzdjRCbPV0odx+LPbTwr4I7k9gcryEz2Wn05mxviV4p3khMUopdGSHRRQ6n6ZpsGKxaN9TVKtqzD333IP9998fH/7wh9Hb24t9990XP//5z8X7K1euxMDAAI455hjxWiwWw5IlS/DII48AAFasWAHHcTKOmTdvHvbYYw9xTC4uv/xydHZ2in8LFiwo6TfIntGpvLFRyPAkB2WKM+JuGBPhD/JqqdANIxvGjuOI5LZ0Og0nCEbnUiTh85Ra613F/1YGT0oU4LFgpmUJyRjdMDJkpxTlwdhk0ZtG0LFsNOSE2lIKAfHFeziUp1Y0kqey1LZEiv/NYeDL2fxOKBmx3AWB0gKuHp7nwbHtnGEs+eAjI+rV4CFB8o6OsDty7B64rit2lEsJceTPK+5prlYYTUM/Fd944w387Gc/w+LFi/HXv/4Vn/vc53DuuefiV7/6FQBgYGAAANDX15fxub6+PvHewMAALMtCd3d33mNy8eUvfxnDw8Pi3+rVqwEU1/mU0qywhFyC0KVgmKao/w1MTjBhA5t7aQsZQJqmwTRNaMGqTd5+8FxXhFvYgWFsp9MZpTZFCEURxn2tNCinM+HiFnzrSNd1mKYJ07L866qM34ohF79QYzcbeTeiFA9uoYzyWsAf1vUKwZAp2RiPMLfm+n08adGRrqGcgV8WDbSwmA5kyKAFev7FjFnZoxrlu2SHlQhHCF1LwzQzPK9RlEjyUSi8spLzbkOHQFBKsf/++2Pp0qUAgH333RcvvPACfvazn+FTn/qUOC7cIVG2a6Y6JhaLIZbDjV7MSpgbhLzevRySkE8SaErklZAkbWWaJlyuAygZvFG/QzeMjOpHNNgGpJT6q0TJ2OLC9tyzqAchFNTzgIheMX7rKBOidJS6Q+1R1d/yI8cJllMGvp7b5WEDvK6V6UoMx4hieISNF03TsgqWmKYpvHgqBrjBkMNTSvg4n79yafdmf1UopCYUjiCPM264MsbK8vbzJHu+A00ke6aS92RDz+Jz587FbrvtlvHarrvuirfeegsA0N/fDwBZntzBwUHhFe7v74dt2xgaGsp7TDEUlR0sbRsIybFgcJStdyknkQWDwgxWYDw2sZyBwsskm5YFK9APjicSvuEeDEYeiyx7CaKuQpUHuHz4ylglt9WGsCdEkYnQ7Swi8S0X9TSWMpQg6uwFFt7oCodA5DJOwvqxumFkSPyVeyUaSWO5WGiwE9pI7c5oS7nxwFN8Xp7zwnZFrs+G799Sn/CyZj1/1lXaXmjoWfywww7DK6+8kvHaq6++iu222w4AsGjRIvT392PZsmXifdu28eCDD+LQQw8FAOy3334wTTPjmPXr1+P5558XxxRDMavx8EqcEAIr8JAWu2XByaj7zV+roRGpaRosqYCG57oZHsjIGp7KAC4L+UGipLhqQ6lZzTMBWb+33NjoensLwxno9SKc+BOVqXbXws8d7qCRcwh4LLaIFS3zWmjSNS1WMajeOI4Dx3Eaqt3y1Sjl2hBCIodBiF0vyY7JeY9OoSxSShtFvHGVdt4a2nX0hS98AYceeiiWLl2Kk08+GU888QT+7//+D//3f/8HwO+g888/H0uXLsXixYuxePFiLF26FC0tLTjllFMAAJ2dnTjjjDNw4YUXYtasWejp6cFFF12EPffcU6hCFEMxRmuulbim69B0HTQIXC81FIKh/BVWqXDhep7UZ5gmdF0XW6BRHoDlxAcpMicttYioDXLCoerzSeStc02futLTVNQ7YYqHA9RbCzhLCq1IhZ28HuDQMyxcHEleUFfqWhBNmyx5HWxpN8PCXd71cV23KKWjahJW6CgFjRB48HcYCl0JmmPRXzDMIdw/5exES6oTQOV33hraAD7ggANw991348tf/jK+9a1vYdGiRbj66qvx8Y9/XBzzxS9+EclkEmeddRaGhoZw0EEH4b777kN7e7s45oc//CEMw8DJJ5+MZDKJo446CjfccENJN2CUmBn5WCB7IjJNE+kgu9HzvNKl0eroRQ3HEGm6DgQKFZTSKR+CKgSiPHJNSorqIUvLNcODeyqEN5vlrhwJQkAwmfSSK8+Ce33lWHSzEsoY9fYAF5EgVNV2BJ42xtiURkoGUUIg5O8pNIdU8FoYhuEnVtdR5q5Ywg4vx3FglhHfXjEqcD2IpgGeV3Cc5w37ksZFuCcq2TPh51ul+52wRgpsaWBGRkbQ2dmJDQMDmD1nTt4YW8dxwCiFYZrCKxKLx7OOdQN1BQBFyVTxrRjdMIRHqh4yVyyQW5O/n6tD6IZR8EEofzZX3yimxrFtob1cEaNDURDPdf3seEIQKzWBtY5wA5cGia3FlhsmhAjZRZ4UG36/5MTeEFzWiWhazkTkasMoFRrw9Z6f7KDylmEYkUNLUskkgPzPBVnFB/Djf/MZo5Weq+Xdgnr3bRT4PEs0TRiCuq6XleRZCdKpVM5FSTF9Ku4zQhCLx3Mek+96CTtEUoDiYzQcLlLM2M0Fvwei/D7eJ6Ojo+js7MTw8DA6OjryHt/QHuBGpdANzC/8VJJgehAGQSmFbdtFP1TrXUhC9k7Isaji4TqFAawoD6VGUDtkbdtmKn7B70XKk1PzJKyIxXzg9eVHce+P7C0Of1bTtCz5xIpRr3kilORTz+utEQKK6IlwpTwXouq0VqIvMrzaUuGNRkWWmeTJ6/zZbga5MPWgEs/QKEoQ4UR7jpwcWU0PMDBpK001xzDG/IUryy4ElQ9lAJdBoRtYbCvk8RRzVQguXu06TlE3VL0NYMDfEmGBEa8Hsc1RwiDy3VSKaMiLDtV/1ceRis+UW8mxmshe3nxZ6zykoRilGCYb0FJoRLXGXr1HNE8QYlyCrI6LzGLDMaI8F7LGRYHrKBusFdl2J0RU+fI8r6ENYLkYi2x8idyXOi2OwqFKlbgueQ3gPKo3cnJk1ucqGAMMTMrIRpG25X3By3hPRePO5g0KLzgQWc6F+ZXatBw3Oo+Zs/l2dp7jMj7DTysVoqgXcgnlsMFbsG+U8VYWjbD4mSl4XN8agFWHctIiPpdrcsvzTihBKdc9p+k6tMCgK9VLG06MqjpSfGG9PLBRE4Sq3o4i9FqBSRWeQjtD8iiJtAiSQ18qgM7L3Oao8tVI8L6UF3u6rovQxXq1PWP+R+kSdVEWeiLXJPQ7M5IjJW8wb1MliTr/FBvWBSgDuGh0yQDOdaG5eLiu62CB58i27byxK5qui/rajusiNtWFrvDqqhzkMA5GqRBNByJOwA068TU6So2gNsh63VwXtVbfSz0P3lSxunkWmSQoTtMoGevFEtYZrYuRwdtS82/OpNiQAREaVeA42WiK0rf8+EqFrsnf2ahhEOGwJ05D7A6EdlDLuS5TLvTCi22OtEjNMpLrNOfIScpRx5QygEugkISXXFGNJ4YxxuDYdl43vmGafs3rwMtTyHgMf76eEzRPfOGJNXJluoITK7+Ba9HIaYYbbB0C00ONoJHhdeiB2oQ+8NCFXPFrPN62UOhBRjxvE8N/K40wH1aNBtqlirrjKEJVED03IMpxOTVfy0C+vo5tg+p61eJpeVI6D9GLej1dqfBCeJ6t9+6AbH9kSKyWsMMTRQkCyBHnKy9SQ2ES9fKKi7naNCOPJ2UAF0kx8ZdynC+fzHMZLTwuinoeXNcVhSbynTP0QvE/osJoUn3wKCgN4MIwSuEGnnWCyQx8vkACfINMGcDVQ/b+GlX2pHJvk5w5zeeESlR1bEZkA7geNMIc5di2PwcUWbAAKPxskr2GxRjAlUxKNC1LxNJWK55WLrpBKYXmebAiqIrwhSiQu6R3VKOxWkyVmFYMooBVEF4V9Rz58ppyHlt0q4pHlmIsph+UAVwkxcZf8ixpKiWL5cIwDNhBvGGhgdhIHuByaea2R4XrxwoPXvDwkb2LBBDJReFt71yPHN0wVPnjKsIY8yXPEHiAqtjXYeNX03UYul7VJLNmQK4sWc840XpdAVl3mpuoUylB0Ig7cBnPsCiOiwp7gP1T+s4hGsh5lRIKISdbF1Iw4ETZUeC7tUB+x06lPeLFkuGAkw3gEnZKpgo3KrQQlKXhZMOzHvcqLXFXVD1FiyTXBZ8KnixWaMXItzdZsPrMp5s3HR6KjeBdqQV8MqXSFpFhGBnFA/LBF078PAgmp0pU2lIURk58i5J9XCph49cwzYZWmagl8sO8HgZwQ81R3OCKWrI2YhEi/9QRYoCraPCFlYSiwhgT4YV6nhCKcH/wSqWF+seVFF/y3fvFJibKba7EOM7nAS7luVBOTDMhpKhY8mqREfqjDODqUor+atRtBkPX4UQoJ5wR+N4IE3SJNG/L8yNrr3INVQ4LYt44uq5PZlhL19MwDGXk1glKaUboQ7WugzJ+C1PPOOBGUFnJMDblOSRP+J3sYNGn6Cver8Vud1dDlSOKcyiMbPwC/oJVyyGpJvcV/828YEM+j7FX5MI3an/wQjq8LYwxEE0rqYhRvjFQ6nURMc2U5o1pznXmfMZ3rcM05fCHYucJNeMWSSkGcNSsZllHd6owiIzt8waDP9z5Vm6u9wE0tfGeC1EtLIRpWdA0LUNEXRk8jUd4+7NaoQ88xIKqsVAQYQB7HjDN+ofHp+ZT6mBhozdYKNu2DUZpRpU3OWRHzzPnypimCdfzYET0llVzEVBKDCrX5ebeSxpUNNNCSktychZ/tqJAuIVsSBXyRhfrNZWvj2xkI1jYlRL6IdoRtEUrI09A0zR/1yvHIqSQYlNG/HGOksW1ChERSeElzBHTa1apIcXE20T1ZkSVvCGaBkiFNhoNkdzguognEnmPa7yWlw5jDA7PHA5kqBBcd369TcuCESxulIe38XCl4hHVCn0Ih8Uo4zc/mq4DgcZ4LcMgauEB5oYsYyzn9n3YANYIEbtKADKeI1TKJ4hScpZoGswqOHBKQT4XN8I0KdSL78gYgQxhrvAkO+hH13UzPKqyPBc3avnndSm8jIdF8N2YKIZUMUoQnqwoEVSU4wnNruNkXkcUVpwJj01CSNnlwolWIKSjgBFbbgJeJZDVp0pJClczb4kUe8GjZjXLq7G8BrA88IpqRW2Qb9JcBv909AB7nicmi0IFE2ZiRn8zIGd+V9r4lZVjZE+LaVlKyaMA1TS8ClJlCTQmGbKe5yGnyRoygLNCHiRD2KmBWklUKbZSzsvPzUOPKAC4rnhmAhBa+q7k6ebPFcM04di271EPXud5E8CkgScMaOkZ7HmeOCcnyj0ZVQkiQ0/YMIRxyxhDOkgAdCTPNFBYVakai7NS77NCBnA1PcAih4aQyeThEpOGlQFcAiXr7WHqrGZhAHseECU+qAGNKfm3FaoQ13gtL51CsjmKxkZ++BYr6QdMGs9ZnkpC8j4gDdNUxu8UhGM3a7VrUq2NW8e2QVl2AaWC2fcBumGAOY7Y8ufjio9bUsWQHaB6BjAwmQgHZIZEhJ1F6VRK/Lfs6dZ1HR73FgcyorkMRTlkhMdAh5ORo2oF86IPU+1OuLKaTKighmEYcIOKeDK0wFgXCdUV9sKL6yuFdEz1rOYe7XLCL4qFBWFA4XZE2fnIhdqHLYFSLrY8oMMrzozjpK2ZXJONrG3I/240+G+YMih9mhiK8rVSRk3zwY1XYOoFDH94eoFmt51Ow06nM2Tt+HjIMn6D8+pKwzky3KjzchgK1SJfklG555SLHcnk2hUMh9hpmoZYPC7m07Ayg1llrepqKkFwz7VhGDAtC1YsJkIZCCFZiWK5dmi4Z5U7mHKVhJafR6IUc0g6Lmo4kixTmCvvg3+HnPMRbrNuGGIhLFcvy7dLLCfoVnqxk2vMZ1zrPDHApmnmbkvEMIpSCM+dcjx8sSgPcI0gxNc9dGzb92YECRC5jisUByw/aAFUfHBVAl3XoReI/Z1uNOIiRBENbsgCfnJQIc9LLm8NRy5aAcZ8L2KQ6a3CXkpH13V4gY667TiI1UAfOVzZqiLnDHt0g3k9HJPKkcehnCgnt01eeFeyrTnhfV6FuY4b9zLh0uMkMFbz7ZzIv1/2HofvZ8MwYAfPYGGcBoZoMfDnuZ1OiwJWsvGckZiYZ8EbNrh5m/I5vhxpl6qSC+gMT6+8W1uC5Kt00sn/LK95GfB+N4IQknJRBnAN0XUdLNj2EJIoOQaypuvwXFcEyMur77D3uNmMr0aQGKo0pVahUdQXWZZO1/W8XhVKKex0OuM1OQNbjkdUVB7TNEWiU6GS8pWiWh5gfk5u7HGDJ1clNB6KwxjLMJLkxK5aOj+q6QGe6jsBiLCGQgnkPMlN3tEJP19J0K+ygVyqN1ULdN3d4FkthznIoQ9RvcqF9IVlb7VZ4TC7fM9kMdbKnNuqEjZTofwAZQDXGN0wxArVtu2c7nvDMOAFGenU88QNGq5PLmetNw1VTjCpNeGymYrmQI4lKxRDJhu/fMtvpldpqzUZ3rYpCgVVggwjs0Lk8tSGcyPCYypn2V5p/gzLYVWTcgxgnuRVTn5ElN8YTnLLFc/Px5Lc3+X0HVd18AIpNmJZfnJWgdCHKMjtk72/hmFU3Nufb8FXsZ2QKtko4h4o4/zKbVFj+A3IB5UczysfY0hGr4g7lBOt+GqxRu2uFM3W3kJUc1tKUT24J5FP/IVUO6jk3bdischJMorKommaMHoLhaKUSy71gIqcN0fykhyTOpU6UEb7/A9XJSEqH6V+A39ueV5xxS5KIWzs5vPs8n6vxMKBL575d9u2LRbMxT4T+I4SgIy+ksdGNRId8xm6YiFRigGf578rCl8glHEKZQDXAUKIECHPN/Hxgc6NrAyBfl2fnJCUB7huyBqEpVT0UdQHV9oitaTFaC74cboyfOuOrutiS5vHcVaaaoVo5fOyyV4+LpmV75kQbptXYvnXkgi1sxAi4U9KRgMg2lu9JkpKC1MlYFf4e80c80gpuxRCXULqY1HooUpz0FQJcCUtBGuQp8RbW84uuAqBqBNTVX2Tk+bkSUSIptchJqsSFKos02wI4fQI1ZcUjYFcftg0zSmNB1oFb6CiNHgIihPsiDm2DarrFZUeFB7/Gm0zy3qyVNKk5Zqx+X6XrDIyVenjSlBM/1LPgxPkr7DQ65GkPcuAhxhWUxM5F4QQWJYFz/MyPMxFnyekLywvIqpZmRIoYACX2Y/VslEqEZeuZvU6IW+/5PUC63pGAL0Vi+WMW2oqI5jfbHVuRrnImcaqkldzIIveG4Yx5QNF3g5XSW6NAXcMaJKKQjqVqkg+hKwIUuks+6geYNGWXGEe0vtyaE4tFmfFPG/kIh3yVn61dIRluKJENTWR88FDF8vx1IaNOlqhBOtCfZ/TAM6jolHqd1eFCiiTqCd3Edz7l78gFotV7ILKRS/yTbh6EPQe1tStVBZkLZC3cOQYtmZGeX+bC+4xBAorPoQ/Ayh1j0ZD9ra5wS6a6zi+ak4gR8fnVr6I4YaiLDMZdkJkjI/QfMw9cbwgh16ihzH8GU02gEPHhsvsstB7QI3CHwJ4v0UJgQh/jr/ueZ5yGBQgrATBn53l5B64juPLtOUouy5fTznWl+ZZsJVKNWwU5QGuMc899xwMruJQgfizKAkQPK4p10qMVGAFVG14whHXP66GxFA9yCezo2g8GGMZiSlRt8yrtR2uqAy6rsOKxTJiLWmQjZ9OpeA6jkjAcl0XTpCglE6lRAETnmAs51iEx4eYwxxH6EGnU6nIzwDhBc21kJKNjvBzIDSvy3On2Bav4djkbeeLDgBCzUhuOw21O6PIQ42KmTQrGYsySdGi1B0JHlcO5E64D3355OfKVICohUUiDOAyzqFm9iK4+ItfxPj4OAgheau/FINc9U2eVKKQsRJvEmOSP2yA5t5S5uUvgcpKJSkqDzdeAClZJcI1c6UqTkrdo3Hh286xeBymZWWVm+Xe/lweNMaYMIa5hyrX+JDDneTt7bDhV6CR/Atztl9qUJSfnGmoRPtEReALDb6g5PcWX3SIZ1LwO3iMvW4YGc6epgrZqwO8rxxJS7haDqOpNIBLDuUo8D2VQiXB1QkiSdCUex4u3s1j2ESS2xQ0S0EJQiaF311JMqxZDGCuwsEoFRV9+IpaU+EPDQ1fWPJ7tRjj152iipOisRDGrq7DCIysXHrNYt5kvg60WMhqWt7xIe/2cA1ZbgDa6bQIicg3TqKGq035GJfyJ4TmbYHwuUqjaRqsWCzjt/P+4/eaHFqkyaFGcqU2Sdt+OjhEKo1uGBkKJ5WIKQaiG4rVyH2oigHM25ZHSCAKygAugUrGs3BNX9dx4HkedM+LtK1eSxH0cuGxY8KjFoiH8/fqATdsCTLFyjO2GYOtUf4ajzPkqFi2xoVv/fExZ1pWpMmcUpqVia9oLoim5U2yFfMN8XWdPdeFNkUlv3BCENeElkMoqG2DBYmV+RLdgCmeHWEjIWy8S/8dLvpQK/hCwQktHiilvgKC1EdhzWM9KPDkBQawHJoUi8cb/jlWK+Q4daB66g/5qEbuQ7W9/ny+Z8Hi14xafa+qrZpmHH/88YjH42CMVWxQypmjwGS1t6lotpVzxk0FiFi8emyHyVt3nuchnU77Xr8gti+dSol4wXyTUDN5sWca3BslF46J4iWTwyV4mVP1UJ6+hIsY5CJf2BY3gq1YLGPuzhdnmavAQdFIIW9yslStjeBwkqC8uOS/P9d9Y0heXxUKkR9Zz7gS2r/82ZVrMZ/rzLTM+F//w3l2XioIIUR8j51OgwYSdLquR9acVu6NIrjl5pvFqqjSniG+7cET7KbyAlesTGGNkLfKeAlaADXJCg6vDjNuRkKAwGCS4Z5D/qDj15x/Xhm/jYsjxWbmynyW4deTBclNjDGgiFhhxfSmUKgZfxaQYAeJL6JzeZQ1QuAhW9mhEHm92JisZlZr45fDd814bDXRNEAyanPdO3KbPc+raQJfs8HVnyrxnCkozZbjtUpIoBH4Oxb8eldLA5p7ynl4Docmk5E+r0ZgEfTMmoWJiYmqGD9y2UQ3QqZsvUMIiiVfK70K6HcWguuEekGFJfm7TNNELBYT9dW5R4gbPzzLXNZeFpX4mqTfZxrytrBpWXmNX0opHMcRSVCOlIRqVbCwgqLJiRBqxrf3RfKSFB4gjinFA1wgBALwjSQrFqvLYjzsPc9qQ56+Escp729B+POnEvMQf25Nda7wmG2GBG85pKkUGtoAdl0XX/3qV7Fo0SIkEglsv/32+Na3vpWx6mWM4dJLL8W8efOQSCRwxBFH4IUXXsg4TzqdxjnnnIPZs2ejtbUVJ554ItasWVNSe6qJSAyIENvVbAZw2KNd7S087mmWFQC4cWvFYkIsnb8eC17jq2WeVd4s/auYjOsG8iev8TAHO53O2K7mRkwsHlfSdopJImqNcgUJBB6p8I5SJBWEArHDQSMyjssnj1kPwu3IO2/K0lVqbm1IrFgM8USirN1lWV9b/rvSaKUsLOXPV7IxlebKK6/Etddei2uuuQYvvfQSrrrqKnz3u9/Fj3/8Y3HMVVddhR/84Ae45pprsHz5cvT39+Poo4/G6OioOOb888/H3Xffjdtuuw0PP/wwxsbGcPzxx1ellnw5aJomHr7hCVSmWRQgZPgqVIYb/MVKwE0FDby+VJKxsgJPL39oNEu/KaIhEmqCJKNcgu9eEOMtxOWDhJ5YPO4veJTnVxGimCx6QvxSzQCyEtTynSdjLg+dL58HrhFHaKHEv5woD3DDU85cWPR4KBHZkWYHtQYopZG/r6FjgB999FG8733vw3HHHQcAWLhwIW699VY8+eSTAPwfffXVV+MrX/kKTjrpJADAjTfeiL6+Ptxyyy0488wzMTw8jOuuuw6//vWv8a53vQsAcNNNN2HBggW4//77ceyxx9bnx+XBMAzYPBaY0pwr/GY0gAHfC8wfCgyAGWQF8xhdswIxQrKEFffKNIqXRFEdwmodYc+9SHqUvBFco1ShqCS6rsPTdVDPExJpPFSAaJqfh0BphiyYIMhHyPi7iZBjkqM8l0RFvYjHK5qI0PWs1jM4Y56nFE7g3DAizu0NbRkcfvjh+Nvf/oZXX30VAPDss8/i4Ycfxnvf+14AwMqVKzEwMIBjjjlGfCYWi2HJkiV45JFHAAArVqyA4zgZx8ybNw977LGHOCYX6XQaIyMjGf9qgewFzuehrmSd7loib0mzYJXGdY95jG6p8BWg0BoOvL7N1keK4qCUZqh18GvOZfe42ohIiuNxk8r4VUSgFB1VeSdBHp/co5tRKS2PBzhXzDGbfDNy+2uJvGWeS3+ZK+/ImKaZUclPMT2Qr78RFKKp1vfwZzwPXYzF43Aihqs2tAf4kksuwfDwMHbZZRdRMOKyyy7Dxz72MQDAwMAAAKCvry/jc319fVi1apU4xrIsdHd3Zx3DP5+Lyy+/HN/85jcr+XMio2tawTjgStfprhW52it7TFzXhRWhEIhccYjBf8jI8ZxGHj1OxfSGZ6Z7npe1oFK7AYpS4ZnmUQ1grhwj69xSSn0D0fOEA4MF81e+c2TR4GEDheZbrvygaCwia1QXCU8W517+asJ3liml0FGcXdTQT4Pbb78dN910E2655RY89dRTuPHGG/G9730PN954Y8ZxuVabUTIeCx3z5S9/GcPDw+Lf6tWrS/8hRSJnDOeadA3DEOoFzYZQVJAMEUNK/iv0kOHJJel0GnY6LZLcZO1JKxbLKGyhmN7IE6wbqDrI4Q48U17tBihKRU5giwr3TMkxivJ53FA8OjB1JTj+fqPObeHCFzJZqhgN+hsUlYE7HGpRxEOXpPiKHVcNbUFdfPHF+NKXvoSPfvSjAIA999wTq1atwuWXX45TTz0V/f39AHwv79y5c8XnBgcHhVe4v78ftm1jaGgowws8ODiIQw89NO93x2IxxCRduVoy1apMFoBuNkzLgue6GdtecnxcvlhgUdxAemDIxrSSJ5u5cH1meXtVD8qwKqNXUS5hz23Rnw3ifom0DcxDtTK8olN5eKVSyLngu4Y02B3TgoIVtZoTxRxcIG+Ft0WFINWf8KIkX85Ro8MdX6WEUDb0r82luatLiVSLFi1Cf38/li1bJt63bRsPPvigMG73228/mKaZccz69evx/PPPFzSA64kQFkeZlYMaEJ55H56UedB6Pl1g2fg1TFPE+sTicViB3qsyfmcmhBBYkpoDl7Brxsl8OsMlD+tRwrccIkmY5YHPSdyRkWUchqTNCsFyHMul/1LJpMiCR1DMxXWcjN2QasO9frl2Jpm0IxOLxyNVZlRUD554nk6lxGu5dtCaCR5vn06lIpdCbmgP8AknnIDLLrsM2267LXbffXc8/fTT+MEPfoDTTz8dgH/DnX/++Vi6dCkWL16MxYsXY+nSpWhpacEpp5wCAOjs7MQZZ5yBCy+8ELNmzUJPTw8uuugi7LnnnkIVohERlYOCuJbpjqbrQOAVsdPpycxp4ldY4savaZo1r42uaBwYpUgHcZXhsIZmXQBRxqZ1Jjw3fMNyh7JCQiNTTpxkOHxC07ScZVp55ax85FP+cV0XNKimqYW8vcwwRElwLUJuRTVpNt366Y7rOKCUwjRNUQGTjx9KKajj+Eo5DX5vAv7Oh23bGWFH0yIJ7sc//jG+9rWv4ayzzsLg4CDmzZuHM888E1//+tfFMV/84heRTCZx1llnYWhoCAcddBDuu+8+tLe3i2N++MMfwjAMnHzyyUgmkzjqqKNwww03NPQqVNM0eFPExE4nuDQVr8glF7DgfcCT2xQzl2a9GxhjcDyKtEtF8pPtUtieB9fzf5VGAEPToGsEmkagawRGoGhBGYK/CUzdP6ZZjAnXdbOKjnCj2E6nG35Rm1HCt0hjMmw8a5oGT3pPLhFfLLzErG4YOb2uvFSxV+UCTlMhJxA2y5id7niUwgyep3xXRguKAfFdBR6O2OjXzHEc6LouFKWA6KWQCZspFlaZjIyMoLOzExsGBtDd3Z3R2dWAPxwAIJ5IVPW7Ggm+NROetPOFTihmHrI3rdFhjGHcdjE8YcOllZ1qNeIrxpi6hva4iZjReAVeZF1ubqhxLxP3QgH+4raR5bDk+TgWi0WuksUYE9vMsXgcgN8nmqYVLABECBHHA5leLv46b1MsHs973W3bBgGq/rwqhOd5vkODEL/vGmyMzjS4Ogl3KDnBLoFsRPKx1QzJw6lkMqud3F4bHh5GR0dH3s827rJ7hhPe5uK6kI0+GIsl7BngnmCe2MTfV9XbFJxmuge2jKcxlg5USgDETB0aIb5RomswDQ0xQwNA4FEKlzJ4lIFSBjf4WyP+feFRBtejwpCmDKAeheNRTNguYoaGWW1xmHpj9A83coFsA5cvaHlsv+u6YMFxjXif861VSilcz4NZ4hjMqBaXI98hn+RaLulLoTUceIFlbzKTYq2jSEtWA+7lFxU51RzeMOi67peNl4qv5FqKNcNcyxfUpbRVGcBFcO9f/oJYoO9YS1zH8SdG+A9RLv3UDIOzENyrAfg3pCxflksIXqFoBLzAANW1zASnXHQkLCQdD+0xE+0JM295W/98OqKYKn5IhG8ou5QhabsYS7tIuxTrt06gq8VCe7y+W5dyGJMWKHKE4UlTJNhu9YKFfqPKO+qGARrILkY11IuNH5ZDFuTjc4UQ8L5yXNd3kkiSa7wkeD09eI7jZCizNPvzarpA5FCHYFcBQMaiiXpe0yh16EGsO6NUxDFPi1LIjcZzzz2Hww8/vCYDhHtOAEnrNHjwNVuQei4opcL4BSDina06Sc8pFFEYGk9j3HahET8WtzNhwjLyzwOmrmF+V0tFjVFCCHRCoGuABaDFMtCZoNg0lkba9TA0YWM87aKnLYZYgbZVE9m7OVUcIfcM83AJWT+3kZDbRCktP4ckR5/IMcIZBjAvMRzqF8M0hYSkkD8L+o/vmlWywEFUwrKEgJI+axT4eDCCcvCu6/pFpSSDWNP1hl2IhjGCctpysvy0KIXcaFz8xS9ifHwchBB/+6CKeNIEyxgTuqaGYYgttEIxZI2OXDOePwBVtSBFI7NlPI0J28Ws1hjaYr4HZcNIEmm38JithfFh6Br6OuLoabVACGB7FAPDSQyNpzNL79YAHscPTG38cuQdrUadAwghYk4uJrEs7MUVr4feBzJDveSQBhH3nqMv+e6ZZVmwYjE/qVBShKjHToD8W82gXWpHrzGQx4Wu6xm6+1YsBtOymiL5TYbL6xVbClkZwEUSTyRgWlZVDU8WyCIhx8TJ44BN0yxJl7ISbfMq8L18Iudxf3yL1LHtpjXqFdMTHnKQdj20x00kLAMdCQtz2uMwdA1D4zYcr/66mYQQtMctzO9qQYvl308jKQdrh8YxkqzdfcWNX+5JioJsXIY9h40En6eKmXvzGcB8fhce2/D2bQ6FiKjJd/VCGO2Sx5qXxFU0JtwJxbXTtUB5pt7ICz/+t+e6cIIKsLnaWGzoZHP4uBsMSmnVV0c635oIyLeNVe2JhTGGsbSDkaTjh18EY87QCPo7E9BLTQbhnwu2XgzDEKWQvUDXsllxPQrbozA0DZahJv5mh28jOy6FkZiMsySEYHZbHOu2TiBpuzDqHHfL0TUNc9rjmLBdDI2n4VKGoQkbY2kXPa0xxM3qbUXzhxSAokuScy1wngTWCH0ZRg4rcB0nkrqCXA0uHxmhXyGDmS8IGj0RmKsLEE0T3u1CMe+KxiBX3H29x1mG6kqgehIu0EE0rWw7oXmtjDpw/PHHQw/ka6op2SMHqfPtQNdxhDelFjHIlDJMOC7G0y5STrZHxqUMgyMp9HUmSprk+EqNr/J0XRcJIM1a/Y5Shk3jKaRsD4buJy12xE20x+srQq8oDo8ykeAGTO7IxE0dY2kHLZYhxq6pa+iImxhJOWiPN5aMV4tlIGHqGEu72DqRhuNRbBhJoiNhoitRHUlBPl+VoliTkTAWKh3cSBimCSeouqZHyD7ncb3h6lr5ep+/zv1bUWX/eAgZAeoiKce94szzxLVUnl9FKRBChEKFY9sivh1AhiZ3uaW+1egsgltuvjlDpqtayEHqHK6l6Ni2MH7NKk1ylDGsH57A5rG0MH67WyzM7WzB/K4WzOtsgRbEGW4ZS5f8PVlVkrisTwNsvxTCzWOgj6RsuB5Df2cC/Z0taDENbJ2wkXLqK0SviM5w0saaoXGMpf0Yf1HClhDETR2exzBhZ17PjoQFShmSORaK9cYPizAxr6sVrTwsIulg3fAE7Clil0uBG8B6iXJmYk5o4DlA3tJ3I+SC8GOz5M3yxQZLIRAZ8b9TLQgC77ubQ16tFsjfKVQrlAGsKAFCiChnTCnNMH65XZQr0bJY1Ogsgp5Zs+AGmovVRA5S55OnYZqIxeM1CVLn26aA78Gc19mCjoQFy9BgBNqlc9r94hzjtlvyg5SEDGAh41OH2OapsF0PQ+NprBkax9qhCbheZmwS4PdFi6XDMnyt1+7WGCxDF+EjisaFUuYrPKQdWIaG4QlbGL/8+iZMA7pGMJZy4NHJLXrKGDSNoJEvsa4RzG6PY3ZbHBohcD2GgeEkxtOVS+bl+rNAGZ6/UPxroyIn7k41V8lxiXY6jXQq5Ve85Avp8DwuGcb5SiDn/B6pz+uxi5YvJlOhKBbGGFzJuJXDNFzHETZYrrLixaAM4CJw61xSUq51XQ0DkTGGkaQthPt7O+Lobo3BzBHHGjd1kWgzNGFnvR8FLWTwyjFujZYJnnI8uJSi1fKNoFRg9HMjyaU0IxSEX5+2mIG062UYzIrGhDKGjoSF7hY/Y33LeObuhmloaI0Z8BjLeM+jFARoinjv1piBeV0tiJs6GIBNY2lsnSh9F0dGVnYp1QA2AzWDRpfMkueqcGhDLkzJa8XjpPNJNskmo6z/O6UBLCUd1mP+zGV0KwNYUSyUUr96ImOwLEsoOximCcM0QblIAMpf6DX+jD3TyeMRqfTE4ngU67ZOCGO2I2EiYRb2dHe1+LGtKcfDwPAEhovMNA+LxAOTWdb1rl/P4e2Kmzq6EjG0x02Yuoaknf2A0QkRRRI4cdMAZah4GVxF5WCBB7cjYaEtZiJu6miPmxi3/fh32Qvsa+5aSDku1g6NY8NIEhtGUmixjIapwDYVukbQ2x5HR8I3yoaTDkZT5XuCRbJWGcYrN+KaIXY0HMJV8NigzCx/iMvnyOovOTQiRwGMQuiSAVzrXbQo/aBQFIInl/JKkVo4xpcXeZGLvpSBSoIrgbwxW1UgnBBRDRhj2DSaCsquEnQmzEgJPaauoSNhYiTpIO1SpF3feO5MREv64p4iSqkoZajrutA3LrW8YSXh15YXO2CMIWZoGE9nGuh+YQICl05msDPmJ1NpOQxjmS3jfoISY4BG/O+KGRosQ89IxlJUB36NZQM2YepImQa2jKcxLyhkwa9ri2XA7GxB2vHgeBRdCQuxKiorVANCiO/pBsFw0saW8TQMjSBhlfZIkBN2633P1gqiaYDnRfZCyYUzNE3zk3jyVMgD/DmfTb4Y6Tvkvq+lkkaG7q9pwnGcplbyUdQH/tznkmwylFK4rpulhlLOOFcjtAg+eNJJMHTdd89L8PiUqsQG85CAoExouVmPuRhNObA9CkKAuV0JGEU8wLpbYmi1DEzYLoaTDrZO2EiYesHqWDJhiSBCyGRlozoawLli7/iNZuo6POb4xUqCcBT/dQ1p14XtUmEQcSOYxwDnulmTtpvhIZaTqQyNwDI0mLpvECfMyl//euN5nl/BqgpjOyrh62LoGtriBjaPpbF1wkZXi5XhCTZ1rSiPr+1SbJ6wsTWIByfwx5XjUaRcv4qXBgJDJ7B0DXFTR3fCRE9LdaXVOhMmXEoxnnaxeTyNeaZekqqLfL/MFANY9gAX+xDWNA3aVBJqUgxw1DPLTgXP86a8FpUykuXwF90w6novK5oXPh5zGb+8umRYXjE8hrOSTQugDOAi+MUvfuFLH1lWhlFEPc9PagAqvuqVpxDXccovv5mD0SARpithFWX8cixDh6lrsF2KpONhy3ga/Z0tkT6bSyJI0zR4gdQbauRFCBu8uW6wSU+h79VNOR5aY5LX0DIwbrsYSzuIBYbqhO2CUiaMpVwPhVltMTgeg0Z8CS7bpX7cMGX+P9sD4AFwQIifjJUwdSSCeORmhidOMdQnHit8bWVihh8KMZK00WLpSAUeXz9GONr5x20Xa7emMDiWjrCLw5D2gHF4QNLB+pEUOmIGdpjdirZYde4DQgh6WmNIOR48ypByPBHbXwyyVNdMMHwYY1WrBir3nycVFYmKputCKhNTKAXx32BIlfhKQXZgyP+vUBQDz2/yPC8jnIfXCDAMQ7zOHRJhY1fEEEdAGcBFcO555+Gaa67JMkJ1XQdxXXiuW/ltH2kiqcbDxaMMrucPoNZY6bJqhBD0tMWwdmgCaZfC8WgkD5m8kODGCO/fahj7U7UD8JOhUo6HpO1i3HbRHjOFBxDwYyhNXUPS8TL6zNQ1dCYsbBpLwRtJwjJ0JG0XcUsvaFTETQO5Ik58Y9g3uhyPIml78JgvwzVhu8B4GglTR1vMRMJqTo+LSNypceEDObkIAMbSDibSLma1xcWiQgvCHSbSLtYPJwEAPa0xaFMsOhhj2DzhG7Bbk5NGUltMx6wWC5au+dvbzB9LCVODTggoAxxKYbsUY7aHDaMpjKRdPLNuGDvObkV/e7wKPeH/zpihY8J2S07WlCt/zQRcScVBdohUAj4HyprKxewuymFkhTy8GTJSRT63GKVI27a4b/n91OjJi4rGhsu/cjk/SA6KcFiEpmnCOC7VVlAGcBE8/vjjed/TNA1uFZIO5KmrGpMLL+FqaKRsb6Kh+Vu3KcfDhO1GigXOV92ultuolDEkbRdJxxOeMJ0QxEwNXQkLCStT01QjflgCT4TzqO+91TTfYOrrSGA06SDluGiJGSV77/QgJjMR/M0YC7zsLiZs3zBOOp4ImbB0DYnA2I4agtII1HrLXDYKPEqxaSyNtOOhI2FBvgUoYyI8qC1moKc1VtDQGU+72DCWxsaxNGxvci6Y1WJim64EOooslLGgK4HXNo1hy4SD/2wcR9L2sLCnpSoLBSP44aUma/IQn2LCJ2SN23KUI2qNrOBgWlZVFuqGaU5+R5GSl7mKDOVClKwuYb71JG1W2QNXamVQhYLDdyN4xV2C3LaPFiwSPc+DUaIDRRnARfCZM87I+x6P0a008uOoGhMtL+pQqYmrxTJ8AzhdhAFM/Iov9aj+RIMEwLTrIW76Gf5xU4eh5d4WZ4zBowyMceWMcTgew+y2mPAGxwwdsfbK/w5CCGKmjpipo6vF//6xlIPxtAuPMdgehZ2kGE761cq6WqymUSaoBWGv73DSFjHrc7tasvpqwnaRdjz0tsfzJocxxjCUdLB2ONPba2oEfe0xzO2Il1x6OGZo2K2vHau3JrFqKIk1w36i6o6zWys+1xjBb6+FB5gxBjfYMZMTvviDTi400WjIoQ+6tB1baQghiMXjQh6yWKbyjsneX11KROaSlAyTnuicn+fPDf5+YHQ34y6UovGI4gTLSPgs0XZQBnARnHrqqTAMA45tZ8YAB5OGFaEufLHw7axqJL8BgBd4qgy9MudusXRsGferxEUNg9CInyRWj+IXGiGY1RaHRqLFrfGysoz5vzVm6IgXkfRXSUxdQ3drDF0tFlzKkHb9hUcy8MD7XngTnVUqe9ts8D5Iux42j6VBaebChcM9xK2WgbYCYUFDEzbe2DyBCSlpcVarhd62GHpazJKSyXK1edvuFli6hv9sGsfAaBodcQN9FQ6HKMcDXEyxBsAPH6CUwjD9PmKYDIGinudngZtmwxnBsvErC/NXi3IMSu4dyydNJsdOMgCObYvvBCHQgmMc2wY1DBihyn5ydToV9qCoFfLuHQ+fo54H13VhlhAiqgzgIthvv/3w8ssvZ2/d6XrWBFEpuCegWnhcf7dCbdc1DTFDC2TRvKLigCljqMdUGiX0g994CVNHorNFeMwaAV+Bwo9LbouZftW6CRspx8Nw0gEhJLI03XRnNOVgy3gabTEDXS2xnNc+SiLPUNLBCwOjYPDvnf6OGOaV4e2div6OOCYcD2uHU9g87lTcAJbvwWIRBnBEg83zvJyhA4wxMF2HY9v+A62K1S6LhVKaUb2t0nG/lYYvvvLFAcvPLy7Hxp0sckwvNy6YpgkPm2w8N3IfKKYPXB+YBo5GPu4MXYcdLPQ814VhmkU50pQBXARr1q6FRylaY7Gafm+z6QxzoyLyQOS/rw4e4KhM3nCNY/jmwzJ09LbHMZpyMDThb/PHDb3ptGqrgalr6O9IlNUXoykXLw6MgAHoaTGxc29bSeopxZIKPM1tscpfx7Q7GUdeNEVIdRVKypKTXex02k/MagADy/M84SEF/PjcRvNOZyGr2OTYHpY9w7qui0p1kx8PEn4NA67rBjJ9wfmK9PgrFJWAx8R7nid2XzRdh2GacB3H1wgOdsyj0uB3saLayKEclT5n1N3UqG3gQtiO49Sl0lEzQQhBe9wU6hObxlIlefemG3GzvIXAhO3h+YERUAZ0JUzs2tteE+PXo36sMQD0tFTem58OjOtSPNjFjiot8PJOdQ83gqIEpVQYv5qm+SVZm6DAg5xUmCsMQhTvKGDAMsaQTqVyykwBM0fyTlF/5JAj13HgOg481xVJnnyusNNpcXwUGv9ObkCm0wpYOF8rec7g/6MaqIUMYK4JyEWwAX/idVwXRNNgBqLrimy4xivXFB6esNHdWtvdi+nESMrBSxtG4VKGNkvHrn3tU0qiVYrN4zYoAxKmhlarsuOdMSY8wNXeJRAPsiCeVgsMNVHalBdwaIB7mjEGWzJ+Gz3sIYzQAw4ZwHIIg67r8AKnghySwuddEQohnUM2gBWKWqEbhhiXXMEEAGLxOKxg10iM64iLVGUAF8GDDzwA0zAyRJb5hF6VKnA1QBPRB5UzgSfjz6Idn88AFkkYjEEPyiTLNcD5xB0r82FZy5KhtUbXCGa1xjA4msJIykF73KxbGAe/ZoA/QVW7zyllAClOmisfg2NpvDo4BgagxdSx+9wOkThWCwbHfM/GnCmk2ErB8SiCriotBKII+L1mmCa0QMJIfpjJORX1hlcoBBo/5jcX+SrVZVRtC+ZO13V9VYhAkQfIdIrQ4Frpuj7jNJ8VjQGfNwgh8KTqsYxSaLoOKxYT4Q9R1VnUCC6Cp556CslkEpqmwYrFhDCzE8SfNCOTeqiVOyfNMYFGaQOQaQS7wRaHaZr+A1NK0tA0TawISzXeGWMYTtrYMJKc1uEUcVNHzPBv9Qm7fuOUh7Dw61ptRlIONowk4ZWobSvzxuZxMPhhD3vP76y6oSgzNGGL8Ic5bZX34I+n/TERq0GZbTnBUDcMWLEY4omE78UJ5tRGSH7jSTcAskqvNgv55lUWCmEwDAOxWExU2dINI2ecsxNsO8s7cQpFLeFGcCwWy6gUx98zLauoxaoawUXwhQsugBtoV2qBR9K0LFG5pBnhD3LbrUxMLWMME0GBiEQZ26lcEsk0zbwScDRCrftCeIxhJGkj7fraudOVjCIedSydLKpO1Yik7fqFQypg9HN7fcfZrTX1/I6lXby0YQwA0N8eQ0uFwx9s18NIyh/77UUW6qgkfE7lpVDrCd954u2qZUXKSiLLqDFpwckmD8g4Vg/kzrghzD9jmKbwDDuSh60ZFwWK6QPfdS8nH0gZwBWgESbtUjF1TWhxptzyDZSU4/kZw6S0hBoO4fqgode5BJ3I+iwjEcPQNBETO5y0K2IoNSq83LVZJ68Nj93iVPvh6XoUdrCtkaiA0cibW8tEwpTrJ9x5jKEzbmCH2a0VPT9jDJuD0IoWyyhYrruW1NuwkncomjH0QUaEQcjjNsIY5mETgG/syhr3RNN8o1ihqCNy7kCpO/DKAK4A1aoCx5Eno0pDCBEGQsou3wAeD4zIFit6jGe+rTqeoOEGpUf59rkbqEAYwVZdObTFTFGqeNNYSpSGnk5QxoTec73if2sR8iDDy0PHDK0iVQ4nY+XLPlUkGGN4ZcMYHI+h1dKxW397RWKZ5fNvGU/D9ig0AvS0Kp1oACLhFkBDFuMoFjm5kMOHcKH5mUpxvtw7b1qWH2vZ5IsCxfSB5wp4JYbVNffdXWNWPPkkYrGY8EA6to10KuULu1dpRUwphZ1OI51K+ULsVXgCJ0x/ECWd8jyglDERYxqurlUKPLkwQ/bE80QcUKUSD3taY7B0DZQBG4aTcNzpZQTz36ORaEU/qkE4RKjareDjMF8J42Ipp1BEsTDGsGooiZG0C50Q7NZXeam1kaSDsSD2d1ZbvGKl0EuBBiV7672LJoc+8FjYZkfLNW7z6DYzxmCn0xmLAHlc6Mr4VTQYulSJ0LHtoucQZQAXwR/++Ec/NkqSiNF0HbF4vGqyPfKqxgs8oZWGx+o6HoNXhqduNOWAMd/I4klXURGTakhizjAMxOJxEdzOE2UqGYNGCEFvRxymrsFjDOuHJzCebv6YYI9SjCRtDI4mASBSVb5qkEuKqdoFDriubTlx6DI87ndgNF1VQy3tenhxwyhWb/Wv2Y5zWitaXc4Pe0hha9I39LpbrLJDH8q9krbjwC7h4VVpXLnM8TTZ4hdKDXLpY6lyn4xj26Kilkh0a9L4Z8XMgTsfeXhkONyuEMoALoJLL70UExMT0AOj14rFqp6xnCVCXgUDWNOIeMA7XmkPIUr9hDIA6Gop3UuQ69vlBJlq9bWuaejrSCBmaGAANo2l/eIRFVAQqCaMMTguRcrxkLRdTNguhpM2BoYnsGZoAkMTvn6srhF0tdRHAzhXgmj11QYqe75tuhIAgA2jabw1lKzsyQOGkw6eWjOMLRMOCICF3S3oraDqA2MMg6Mp4fntarHQUYkS2TzRqvSGld+GMpEfmo2gQlEpcoWX5QqLyHhd+rvZQ0AU0x+56AsCI1iu3FiIuo7uf/7znzjhhBMwb948EELwu9/9LuN9xhguvfRSzJs3D4lEAkcccQReeOGFjGPS6TTOOecczJ49G62trTjxxBOxZs2ajGOGhobwyU9+Ep2dnejs7MQnP/lJbN26tcq/rkKEJGeqFQ/Mt1jdEj3AIynf0DJ1Da0NkkxTLLpG0NeRQGdgFIynXazbOoGxdHVCT0rBpb6qwXDSxsbRFNYOTWDd8AQ2jCQxOJrCxtEUtk74yhYAYBkaelpjmN/VUlFPYlRoUNgAmNRmrMVDlatdVCpkobcthh1mtQAA3tqaFB7aSrFxLI3n1o/ApX7M777bdGJBd6Ji52eMYeNoCinHAwEwpz0uxnkFv6SkdnHqaXTyJBpCyLTTtw3vromwiBwFMjKOm2b9oJj+FBsHXNcRPj4+jr333hvXXHNNzvevuuoq/OAHP8A111yD5cuXo7+/H0cffTRGR0fFMeeffz7uvvtu3HbbbXj44YcxNjaG448/PsMFfsopp+CZZ57Bvffei3vvvRfPPPMMPvnJT1b991WCXFtRVTGAdX9SdEvwADPGhJRSZ6I072+uEIh6QAhBV4uFvo4EDI3ACzLl122dwEjShkdz6w4zxuBRP4TE8fx/HqWgwdZjKXrFjDGkHE8Yu2uGxrF2aAKDgZE7YbvwGAOBv0Vv6hosQ0PC1NHTamF+VwvmdragPV4/jxY3LOSHaS0MDL0K+tbzOhNY2OMbwW9umcCarZXRj94yYeOVoMjG7FYLe8/rrOgikgae32Rg/PZ2xBtG8aHe97vfhMkCLc2q+VuQUKEhuZhQBqG/p10/zADK0cVvZmRJtGLmlLrOgu95z3vwnve8J+d7jDFcffXV+MpXvoKTTjoJAHDjjTeir68Pt9xyC84880wMDw/juuuuw69//Wu8613vAgDcdNNNWLBgAe6//34ce+yxeOmll3Dvvffisccew0EHHQQA+PnPf45DDjkEr7zyCnbeeefa/NgSkTN2NU0T8ZSVXp1zdQC3BIshaXsi9rdcndJCQ5dXI+JFMKpJ3NQxt6sFoykHI0kbLmV+QYIJG4T4BichBIwhMHSjnVfXCAxNg6GTgrGTjkeFFzeMqWvC2I0ZGmJGY2pyUkpFyI5hmkJDtJJqBvmotAeYs6ArAUoZ3tqaxMotExizXew8p63k/t88buPlwVFh/O7SW/q5ckEZw+BIEmmXCs9v3KzsvRPeZi+m/fLVqdsijcf+TtMtfyEpGfLscmMpXIlTGMoNOKcocsMoheM4wgNqmGZDVFOsFVwSjUk7jlFo2B5auXIlBgYGcMwxx4jXYrEYlixZgkceeQRnnnkmVqxYAcdxMo6ZN28e9thjDzzyyCM49thj8eijj6Kzs1MYvwBw8MEHo7OzE4888kheAzidTiOdTou/h4eHAQDjExM1HVyu44AyBiOdFsavrusVF2dPOS7cpIO0Z2CERYuf4aQdD17KBtE1jI6WFqMsfqeU1Zl1TKACoQdC7bWAAGjXGcbTLsZSDpwIWyz8sVEJ00sDQdzUYBo6LF1DzNShEeqf3AFsByjuatUOrpYCQmAFSh6U0pxVpiqNnbRBXYoJZoPZlb1Xu3SGpOHizaEkOrQYRkdLv9LptIvx0VF0JgzMjRsZu1uVgDGG1HgaE7aL2e0JOCkKJzX154r9Dsfx45bTtl2U4cSTrgA/Ga4e8JLqlmVlzPnTBa5rzJ8bXO2CEJJxvRzH8eOCg6IXtbhPFZWBKypxVT8AAQAASURBVHjwxYsVSNbNJDzPg+s40HUd4xMTAKbeLW9YA3hgYAAA0NfXl/F6X18fVq1aJY6xLAvd3d1Zx/DPDwwMoLe3N+v8vb294phcXH755fjmN7+Z9fr2229f3A9RKBQKhUKhUNSU0dFRdHZ25n2/YQ1gTtibEGWLLXxMruOnOs+Xv/xlXHDBBeJvSim2bNmCWbNm1XVraGRkBAsWLMDq1avR0dFRt3Y0EqpPslF9ko3qk2xUn2Sj+iQb1SeZqP7IppH6hDGG0dFRzJs3r+BxDWsA9/f3A/A9uHPnzhWvDw4OCq9wf38/bNvG0NBQhhd4cHAQhx56qDhmw4YNWeffuHFjlndZJhaLIRbLlCDq6uoq+fdUmo6OjroPskZD9Uk2qk+yUX2SjeqTbFSfZKP6JBPVH9k0Sp8U8vxyGjbAZ9GiRejv78eyZcvEa7Zt48EHHxTG7X777QfTNDOOWb9+PZ5//nlxzCGHHILh4WE88cQT4pjHH38cw8PD4hiFQqFQKBQKxcyhrh7gsbExvPbaa+LvlStX4plnnkFPTw+23XZbnH/++Vi6dCkWL16MxYsXY+nSpWhpacEpp5wCwLfwzzjjDFx44YWYNWsWenp6cNFFF2HPPfcUqhC77ror3v3ud+Ozn/0s/t//+38AgP/6r//C8ccf3/AKEAqFQqFQKBSKylNXA/jJJ5/EkUceKf7mMbennnoqbrjhBnzxi19EMpnEWWedhaGhIRx00EG477770N7eLj7zwx/+EIZh4OSTT0YymcRRRx2FG264IUMl4Oabb8a5554r1CJOPPHEvNrDjU4sFsM3vvGNrPCMmYzqk2xUn2Sj+iQb1SfZqD7JRvVJJqo/smnGPiFsJqomKxQKhUKhUChmLA0bA6xQKBQKhUKhUFQDZQArFAqFQqFQKGYUygBWKBQKhUKhUMwolAGsUCgUCoVCoZhRKAO4iXj11Vfxvve9D7Nnz0ZHRwcOO+ww/OMf/8g45q233sIJJ5yA1tZWzJ49G+eeey5s265Ti2vDn/70Jxx00EFIJBKYPXs2TjrppIz3Z2KfAEA6ncY+++wDQgieeeaZjPdmUp+8+eabOOOMM7Bo0SIkEgnssMMO+MY3vpH1e2dSnwDAT3/6UyxatAjxeBz77bcfHnrooXo3qWZcfvnlOOCAA9De3o7e3l68//3vxyuvvJJxDGMMl156KebNm4dEIoEjjjgCL7zwQp1aXFsuv/xyEEJw/vnni9dman+sXbsWn/jEJzBr1iy0tLRgn332wYoVK8T7M6lfXNfFV7/6VTGXbr/99vjWt74FSqk4pqn6gymahh133JG9973vZc8++yx79dVX2VlnncVaWlrY+vXrGWOMua7L9thjD3bkkUeyp556ii1btozNmzePnX322XVuefX47W9/y7q7u9nPfvYz9sorr7CXX36Z3XHHHeL9mdgnnHPPPZe95z3vYQDY008/LV6faX3yl7/8hZ122mnsr3/9K3v99dfZ73//e9bb28suvPBCccxM65PbbruNmabJfv7zn7MXX3yRnXfeeay1tZWtWrWq3k2rCcceeyy7/vrr2fPPP8+eeeYZdtxxx7Ftt92WjY2NiWOuuOIK1t7ezu6880723HPPsY985CNs7ty5bGRkpI4trz5PPPEEW7hwIdtrr73YeeedJ16fif2xZcsWtt1227HTTjuNPf7442zlypXs/vvvZ6+99po4Zib1y3e+8x02a9Ys9sc//pGtXLmS3XHHHaytrY1dffXV4phm6g9lADcJGzduZADYP//5T/HayMgIA8Duv/9+xhhjf/7zn5mmaWzt2rXimFtvvZXFYjE2PDxc8zZXG8dx2Pz589kvfvGLvMfMtD7h/PnPf2a77LILe+GFF7IM4JnaJzJXXXUVW7Rokfh7pvXJgQceyD73uc9lvLbLLruwL33pS3VqUX0ZHBxkANiDDz7IGGOMUsr6+/vZFVdcIY5JpVKss7OTXXvttfVqZtUZHR1lixcvZsuWLWNLliwRBvBM7Y9LLrmEHX744Xnfn2n9ctxxx7HTTz8947WTTjqJfeITn2CMNV9/qBCIJmHWrFnYdddd8atf/Qrj4+NwXRf/7//9P/T19WG//fYDADz66KPYY489MG/ePPG5Y489Ful0OmPLZrrw1FNPYe3atdA0Dfvuuy/mzp2L97znPRnbLTOtTwBgw4YN+OxnP4tf//rXaGlpyXp/JvZJmOHhYfT09Ii/Z1Kf2LaNFStWiMJAnGOOOQaPPPJInVpVX4aHhwFAjImVK1diYGAgo49isRiWLFkyrfvov//7v3HccceJSqqcmdof99xzD/bff398+MMfRm9vL/bdd1/8/Oc/F+/PtH45/PDD8be//Q2vvvoqAODZZ5/Fww8/jPe+970Amq8/6loJThEdQgiWLVuG973vfWhvb4emaejr68O9996Lrq4uAMDAwAD6+voyPtfd3Q3LsjAwMFCHVleXN954AwBw6aWX4gc/+AEWLlyI73//+1iyZAleffVV9PT0zLg+YYzhtNNOw+c+9znsv//+ePPNN7OOmWl9Eub111/Hj3/8Y3z/+98Xr82kPtm0aRM8z8v6vX19fdPut0aBMYYLLrgAhx9+OPbYYw8AEP2Qq49WrVpV8zbWgttuuw1PPfUUli9fnvXeTOwPwH/G/OxnP8MFF1yA//mf/8ETTzyBc889F7FYDJ/61KdmXL9ccsklGB4exi677AJd1+F5Hi677DJ87GMfA9B840R5gOvMpZdeCkJIwX9PPvkkGGM466yz0Nvbi4ceeghPPPEE3ve+9+H444/H+vXrxfkIIVnfwRjL+XqjErVPeOD9V77yFXzwgx/Efvvth+uvvx6EENxxxx3ifDOpT3784x9jZGQEX/7ylwuebyb1icy6devw7ne/Gx/+8Ifxmc98JuO96dAnxRD+XdP5txbi7LPPxr///W/ceuutWe/NlD5avXo1zjvvPNx0002Ix+N5j5sp/cGhlOJtb3sbli5din333RdnnnkmPvvZz+JnP/tZxnEzpV9uv/123HTTTbjlllvw1FNP4cYbb8T3vvc93HjjjRnHNUt/KA9wnTn77LPx0Y9+tOAxCxcuxN///nf88Y9/xNDQEDo6OgD4WdzLli3DjTfeiC996Uvo7+/H448/nvHZoaEhOI6TtSJrZKL2yejoKABgt912E6/HYjFsv/32eOuttwBgxvXJd77zHTz22GNZ9dj3339/fPzjH8eNN9444/qEs27dOhx55JE45JBD8H//938Zx02XPonC7Nmzoet6lrd3cHBw2v3WqTjnnHNwzz334J///Ce22WYb8Xp/fz8A36M1d+5c8fp06qMbbrgBCxcuxBFHHIEVK1ZgcHBQhNMBgOd5+Oc//4lrrrlGKGRM1R/yOacDc+fOzXi+AMCuu+6KO++8E8DMGCcyF198Mb70pS+JeXfPPffEqlWrcPnll+PUU09tuv5QBnCdmT17NmbPnj3lcRMTEwAATct02muaJjyhhxxyCC677DKsX79eDL777rsPsVgsY2JrdKL2yX777YdYLIZXXnkFhx9+OADAcRy8+eab2G677QDMvD753//9X3znO98Rf69btw7HHnssbr/9dhx00EEAZl6fAL6U0ZFHHil2CcL30XTpkyhYloX99tsPy5Ytwwc+8AHxOg+xmgkwxnDOOefg7rvvxgMPPIBFixZlvL9o0SL09/dj2bJl2HfffQH4sdMPPvggrrzyyno0uWLccsst0HUdgN8PP/7xj7Htttviueeeyzju05/+NHbZZRdccskl2H777Qv2R65z7rLLLjj66KNr++MqzGGHHZYlj/fqq6+K58t0Hie5mJiYyJo7dV0XNkjT9UcdEu8UJbBx40Y2a9YsdtJJJ7FnnnmGvfLKK+yiiy5ipmmyZ555hjE2KeV01FFHsaeeeordf//9bJtttpm2Uk6MMXbeeeex+fPns7/+9a/s5ZdfZmeccQbr7e1lW7ZsYYzNzD6RWblyZV4ZtJnSJ2vXrmU77rgje+c738nWrFnD1q9fL/5xZlqfcBm06667jr344ovs/PPPZ62trezNN9+sd9Nqwuc//3nW2dnJHnjggYzxMDExIY654oorWGdnJ7vrrrvYc889xz72sY81rJxTMbiuy66++mq29957s4MPPpj96le/ynmcrALBWOH+iHrOZuOJJ55ghmGwyy67jP3nP/9hN998M2tpaWE33XSTOGa6jpNcnHrqqWz+/PlCBu2uu+5is2fPZl/84hfFMc3UH8oAbiKWL1/OjjnmGNbT08Pa29vZwQcfzP785z9nHLNq1Sp23HHHsUQiwXp6etjZZ5/NUqlUnVpcfWzbZhdeeCHr7e1l8XicAWAA2D/+8Q9xDO+TeDzONE1jANjb3/72+jW6gvzrX/9i3/jGN9jQ0FDO93MZwIzVbpzcdtttbLfddhPX5umnn2bXX389A8BWrlxZ8e/LBf++XP9katUnU12zcs8RtX9/8pOfsO22245ZlsXe9ra3CQmwmUC+8XD99deLYyil7Bvf+AZrbW1lANg73vEO9txzzzHGovdxJTn11FNFO3ffffeCv6PQP9d12Y9+9CO29957s0MOOYT9+te/zvquYs7HGIt0zrvvvjvjc8uXL4/0u7/5zW+yXXfdlXmeJ17j/R/1HDLFXrs//OEPbI899mCxWIz19/ezrq6uDL1oPk76+/tZLBbLGCfTjZGREXbeeeexbbfdlsXjcbb99tuzr3zlKyydTotjmqk/lAGsmDbwia29vV3oEsr84x//EO8vWbKk9g2sAt/97ndr/iCOyuDgIDNNk51wwgnsgQceYI8++igbHx+vi/HAGGPf+MY3GAC2cePGmn5vmEpcs0LnGBwcZI8++ui0XvhWAj4eSjmuHn186qmnsv7+fvboo4+yZ599tuTz3HzzzezWW29l119/Pfv73//OfvSjH7H77ruvrLZFOeeWLVvYo48+yr761a9GNl7Xrl3LWltbM4obMVZbA1jGcRy2ePFi9vWvf73ozyoaDxUDrJh2fOQjH8HNN9+Mn/zkJyJhEACuu+46HHLIIRgZGalj62YOr776KhzHwSc+8QksWbKk3s2ZMcyZMwdz5sypdzPyMjExkVOfupmoVx/HYjEcfPDBZZ3jlFNOAeAnrBFCcO6555bdrijn7O7uxsEHH4yXX3458nl/9KMfoaurK6u8fb0wDANnnnkmvv3tb+OSSy5p+nE801EyaIppB9cklGWNhoeHceedd+L000/P+ZmHH34YRx11FNrb29HS0oJDDz0Uf/rTnzKO4bJb//73v/HhD38YnZ2d6OnpwQUXXADXdfHKK6/g3e9+N9rb27Fw4UJcddVVWd/zn//8B6eccgp6e3sRi8Ww66674ic/+UnWcfy7XnjhBXzsYx9DZ2cn+vr6cPrppwvR/ksvvRQXX3wxAD/5gEt/PfDAAwCA0047LUMFIXzuSv6uMKeddppITPzIRz4CQkjezPCo7UylUth3332x4447ij4A/Izj/v5+HHHEEfA8b8q2rV69GieddBI6OjrQ2dmJT3ziE9i4caN4/6GHHgIhJKcs1q9+9SsQQnJqpXI2btyI//qv/8KCBQsQi8UwZ84cHHbYYbj//vunvGavvfYaPv3pT2Px4sVoaWnB/PnzccIJJ2QkKE11Dm6EyBrQUcY3P/dU4y5qO+XzPfXUU/jQhz6E7u5u7LDDDmX3MRD9XgKAP/3pT9hnn30Qi8WwaNEifO973yvruFx9HLU9hcZHqfT29uKss87Kev3AAw8URQrCnHbaaQXVGo477jjssMMOWa8zxnDAAQfgsMMOK/qcxWDbNq677jqccsopWYlXuYg6j4Qpdix+/OMfx8jICG677bZoP0TRsCgDWDHt6OjowIc+9CH88pe/FK/deuut0DQNH/nIR7KOf/DBB/HOd74Tw8PDuO6663Drrbeivb0dJ5xwAm6//fas408++WTsvffeuPPOO/HZz34WP/zhD/GFL3wB73//+3Hcccfh7rvvxjvf+U5ccskluOuuu8TnXnzxRRxwwAF4/vnn8f3vfx9//OMfcdxxx+Hcc8/FN7/5zZy/5YMf/CB22mkn3HnnnfjSl76EW265BV/4whcAAJ/5zGdwzjnnAADuuusuPProo3j00Ufxtre9raR+K/V35eJrX/uaePgvXboUjz76KH7605+W1C5OPB7Hb37zGwwODoqFDKUUH//4x8EYw6233ioy0QvxgQ98ADvuuCN++9vf4tJLL8Xvfvc7HHvssXAcBwDw9re/Hfvuu29O4+Waa67BAQccgAMOOCDv+T/5yU/id7/7Hb7+9a/jvvvuwy9+8Qu8613vwubNm6e8ZuvWrcOsWbNwxRVX4N5778VPfvITGIaBgw46SGSjF3vdix3fQOFxF7WdMieddBJ23HFH3HHHHbj22mvL7uNi7qW//e1vooDQbbfdhu9+97v4zW9+g+uvv76k48ptT6HxUQqrVq3Cxo0bs66/67r497//XfJ8sM8++2DlypUYGxvLeP1Xv/oVVqxYgR/96EclnTcqjz/+ODZv3owjjzyyqt9T7Fjs7+/HLrvsknMBqWgy6h2DoVBUCjkujMf7Pv/884wxxg444AB22mmnMcYY23333TNigA8++GDW29vLRkdHxWtcFWCbbbZhlFLG2GQs4Pe///2M791nn30YAHbXXXeJ1xzHYXPmzGEnnXSSeO3YY49l22yzDRseHs74/Nlnn83i8bhQrpC/66qrrso49qyzzmLxeFy0qVAs6Kmnnsq22267rNfDMY3l/q588GuQL36PtzlqOzm33347A8Cuvvpq9vWvf51pmhYphpGf7wtf+ELG6zfffDMDkJHZzdsoJw8+8cQTDAC78cYbC35PW1sbO//88/O+X0wMsOu6zLZttnjx4ox2FzpHuH+jjm/Goo+7qO3k58sVM1lOHxdzLx100EFs3rx5LJlMitdGRkZYT09PxviKepzcdt7HxbRnqvGRj3z3yW9/+1sGgD311FMZrz/99NMMALvzzjuL/i7GJu+zxx57TLw2NjbG5s2bJ+bSUogav3vllVcyAGxgYCDSOaLOI7ligIsdix//+MdZX19fwfYrGh/lAVZMS5YsWYIddtgBv/zlL/Hcc89h+fLlOcMfxsfH8fjjj+NDH/oQ2traxOu6ruOTn/wk1qxZk+XROv744zP+3nXXXUEIwXve8x7xmmEY2HHHHUX5x1Qqhb/97W/4wAc+gJaWFriuK/69973vRSqVwmOPPZbVvhNPPDHj77322gupVAqDg4PFd8oUlPK76sHJJ5+Mz3/+87j44ovxne98B//zP/9TlN7oxz/+8azzGYaBf/zjH+K1j33sY+jt7c3wCv34xz/GnDlzcu4iyBx44IG44YYbRFES7lmOguu6WLp0KXbbbTdYlgXDMGBZFv7zn//gpZdeinweTinjG5h63BXbzg9+8INZr5Xax8XcS+Pj41i+fDlOOumkjApn3AMu91OU48ptD1De+MjFk08+CcuyRBlnzooVKwCgZA/w3nvvDQAZYS1XXHEFRkZGsHTp0hJbG51169aBEBJZ67scih2Lvb29GBwchOu6VW+bonooA1gxLSGE4NOf/jRuuukmXHvttdhpp53w9re/Peu4oaEhMMYyqtZw5s2bBwBZW5M9PT0Zf1uWhZaWlqwSopZlIZVKiXO4rosf//jHME0z4x+P0du0aVNWG2bNmpXxN6/wlkwmC/7+Uijld9WL008/HY7jwDCMopN4eLUijmEYmDVrVsZ1jsViOPPMM3HLLbdg69at2LhxI37zm9/gM5/5TFaVvTC33347Tj31VPziF7/AIYccgp6eHnzqU5/KqryWiwsuuABf+9rX8P73vx9/+MMf8Pjjj2P58uXYe++9S7rmpYxvYOpxV2w7c31/qX1czL00NDQESmnWNQcyx0HU48ptD1De+MjF8uXLseeee8I0zYzXV6xYgZ6enpxxsVHg8d3cAF69ejW+//3v43/+539yXs9Kk0wmYZpmpLCmcil2LMbjcTDG6j4PKspDqUAopi2nnXYavv71r+Paa6/FZZddlvOY7u5uaJqG9evXZ723bt06AKiIB6K7u1t43f77v/875zHhalTlEo/HkU6ns17PZWjXk2LbOT4+jk9+8pPYaaedsGHDBnzmM5/B73//+8jfNzAwgPnz54u/XdfF5s2bs4y+z3/+87jiiivwy1/+EqlUCq7r4nOf+9yU5589ezauvvpqXH311Xjrrbdwzz334Etf+hIGBwdx7733FvzsTTfdhE996lNZHrZNmzahq6sr8m/kVGt8F9vOfElIpfRxMfdSd3c3CCE5jUv5tajHldseoLzxkYunn346p4d92bJlJXt/Ab/K6B577CEM4EsuuQT9/f244IILSj5nMcyePRu2bWN8fBytra1THl/ufFfMWNyyZQtisVjGroqi+VAGsGLaMn/+fFx88cV4+eWXceqpp+Y8prW1FQcddBDuuusufO9730MikQDgJ1fddNNN2GabbbDTTjuV3ZaWlhYceeSRePrpp7HXXnvBsqyyzwkU9ggvXLgQg4OD2LBhg6jDbts2/vrXv1bkuytFse383Oc+h7feegtPPPEEXn75ZXzoQx8SCXtRuPnmmzPKG//mN7+B67pZ2etz587Fhz/8Yfz0pz+Fbds44YQTsO222xb127bddlucffbZ+Nvf/oZ//etfAApfM0JIlsfpT3/6E9auXYsdd9xRvBZ1J6Ba4ztqO6eilD4u5l5qbW3FgQceiLvuugvf/e53xW7G6Ogo/vCHPxR9XLntCZNrfBSDbdvYsmVLxoIOAO6880689tprZcuH7b333rj77rvx2GOP4bbbbsMdd9wx5Q5Ipdhll10AAK+//jr22muvKY8vd74rZiy+8cYb2G233SL+EkWjogxgxbTmiiuumPKYyy+/HEcffTSOPPJIXHTRRbAsCz/96U/x/PPP49Zbby0ooVMMP/rRj3D44Yfj7W9/Oz7/+c9j4cKFGB0dxWuvvYY//OEP+Pvf/170Offcc09x7lNPPRWmaWLnnXdGe3s7PvKRj+DrX/86PvrRj+Liiy9GKpXC//7v/0aSCqslxbTzF7/4BW666SZcf/312H333bH77rvj7LPPxiWXXILDDjsMBx544JTfd9ddd8EwDBx99NF44YUX8LWvfQ177703Tj755KxjzzvvPBx00EEAEEkNYHh4GEceeSROOeUU7LLLLmhvb8fy5ctx7733CmOk0DU7/vjjccMNN2CXXXbBXnvthRUrVuC73/0uttlmm4zvKXSOMBMTExgcHKzo+I7azigU28dAcffSt7/9bbz73e/G0UcfjQsvvBCe5+HKK69Ea2srtmzZUvRx5bQnyvgoBsuysP322+P3v/89PvGJTyCRSOB3v/udkCosxwMM+Abwz3/+c5x++ul4xzvekdPTXC34gvSxxx7LawDLY7cS812UsUgpxRNPPIEzzjgj8nkVDUqdk/AUiooRNbs4rALBGGMPPfQQe+c738laW1tZIpFgBx98MPvDH/6QcUy+SmKnnnoqa21tzfqeJUuWiJKlnJUrV7LTTz+dzZ8/n5mmyebMmcMOPfRQ9p3vfCfSd+XKYP7yl7/M5s2bJ8o8y2Wg//znP7N99tmHJRIJtv3227NrrrkmrwpEOb8rF1FVIKK289///jdLJBLs1FNPzThfKpVi++23H1u4cGHB8sL8fCtWrGAnnHACa2trY+3t7exjH/sY27BhQ97PLVy4kO26665T/l7els997nNsr732Yh0dHSyRSLCdd96ZfeMb32Dj4+PiuHzXbGhoiJ1xxhmst7eXtbS0sMMPP5w99NBDbMmSJVljNt85wv27ZMkS9qEPfWjK8c3YZLnd1157LeP18DmjtjNq9b1i+pgT9V5ijLF77rmH7bXXXsyyLLbtttuyK664IqfKSNTjco3hKO2JOj5ykU/l4KGHHmJ77bUXi8VibOHCheziiy9m1157LQPAXn311Qg9mZ+HHnqIAWCapmWVUy+VYqq4vf3tb2fvfe97s17/yU9+wgBkldiNMo9MVQluqrH4t7/9TcwjiuZGGcAKhUKRh2effZYBYD/5yU/q3ZSSWbJkCTvvvPMiHcsXLYUWEpVmOvRxLeAGsOM4zHXdejenaCilzHEcdt1110U2gH/7298yXdfZmjVrMl4/99xzmaZpbGRkpKJtjDIWP/GJT7BDDz20ot+rqA9KBUKhUChCvP766/j73/+O//qv/8LcuXNx2mmn1btJFeGmm27C/vvvj/b2dvT39+OUU04R0mZvvvmmKDrAk8Kq+bunax9Xk1WrVsE0TSFR1kz8/ve/h2maRYUOnHTSSTjggANw+eWXA/CVLa699lr88pe/xIknnpgz5KcUoo7F119/HbfffjuuvPLKinyvor6oGGCFQqEI8e1vfxu//vWvseuuu+KOO+5AS0tLvZtUEWzbxre//W3svPPOGBwcxBe+8AWcdtpp+POf/4wFCxbgzjvvxAc/+EG88sor6OjoEElz1WC69nG1uPTSS3H22WcDQFWvS7U44ogjMkoKR0kiI4Tg5z//Oe655x5QSvGhD30Iw8PDOPHEE/G///u/FWtb1LH41ltv4ZprrhFl3hXNDWGMsXo3QqFQKBTV4YgjjsA+++yDq6++Ouu95cuX48ADD8To6Cja2trwwAMP4Mgjj8TQ0FBJsmsKhULRLKgQCIVCoZghPP3003jf+96H7bbbDu3t7SLT/q233qpvwxQKhaLGKANYoVAoZgDj4+M45phj0NbWhptuugnLly/H3XffDcAPjVAoFIqZhIoBVigUihnAyy+/jE2bNuGKK67AggULAABPPvlkxjG8iEOjaUUrFApFpVEGcEQopVi3bh3a29srVhhBoVAoqo3rukin0+ju7oZpmvje976H008/HS+99BIuvfRSAMDY2BhGRkbQ09MDALjjjjtwzDHHIB6Pq3KvCoWiqWCMYXR0FPPmzYOmFQh0qLMMW9OwevVqBkD9U/+mzT/TNNmcvj62w447sf0POoQd/Z7j2Mkf/xQ785zz2beu/D77zFnnMMuyxPGdXd3s/914C/vR/7tOfB4A22W33dnt9/yF/fcXLmIAxGdO/vin2MNPv8D6+ufW/beqf5X7d9IHPsCeWrGCHX744eK1v//tb2xg/Xr20Y98RLy29957s0ceeYR97nOfq3ubp/q3xx57sNGREbZ48WLxmmEYbOlll7F/Pvhg3dvXaP8sy2KbN21iJ5xwQsbrn/nMZ9gLzz/Purq66t7GRvp33rnnsqefeorNnj1bvLbLLruwP/3xj+zSSy+te/sa7d/1v/wlW7lyJTvssMOYruvi9WuvvZZ9+1vfinye1atXF7TrlApERIaHh9HV1YXVq1ejo6Oj3s1R1BjGGBgAMCD4L/E3/z/GGBgDKPz/Z4yBssnP8vcn/w69F3qNfxeb/JrI8D2Kbbpbc+5YMAaMeQQumzyeH6UF/2EQhrgG8I8zBkx4BBRAu+H/FkIAGrwOAG3S6ykPSFOCTlNNMWEYpUjbtt+pdUTXdRimCdd1wfzBF4w9hlyPhlg8Dl3XoWsaHNedPI+mQdM0UErhUQrAH0+6roMyBhq8VksYY3BdF57UTtOyoOt6zuNNw4DreRm/W9d1EABujpCQfL+JAOKmmc67hbn6S9O0rLEBBOM9nc46ByEEJBg7uqaBFPLWRYAF45ZSOjmec91jhPjfneNfNcjXL0Zwf9jpNDzPgxWLTesxEwXeV+GxBfj9xVA4RItSiq1bt2LRokXYunUrOjs78x6rQiAiwgdlIh5XYRCKusAnAzEl8P8gk8YrEO2hyxhDW2BlE0LE5wt9ljIGd9yG43no6GgBY0wcryVtDCdtJFpbYeoaHI9ifDSFRExDR1s841iFj3hQBw/rqKYwQbDg4g/5MjBME4aR/zGQ6/ye58Fz3Yx50HEceK4L0zTRGosB8B9Ejm3D0nXohtHQ158FRkjcMGAGcdCMMaTTaRiGgZYCfTRTSSWTaEkkoEt94zgOqOdlPSNZyBAlFV4gMMbgOk7ZsetZxjCfGwkRi1WxQAy+lxvZhBBYwdgP47ou3NA9wxiDY9sAISrMKIDfh5quI55IZIwPz/PgOg4Mw8gYc7nOwZlqfKm7ukg8z4OdTiMWj9e7KYoZhnhoiBfKO5dOop+EiUke8BiDRylcymDqGjRC0BozkXQ8bBpNIWbqcDwKQoDOhJXRdsUkhBDfG5nHI1kIO52ObPyGH+ay122q65LrfYLMh4wbGD2Ab/TytvFjuHeZG5aNCCEEhmHAcRwQ14VGiPD65vMYz3RI4PHXpMUtpTRnzGU1vasA4Nh2hkeej+0MIzZA3uGQ//kv5/EYlwkJDOiwI4AB0NTcKOD9H56bKKX+4iaYuwpBCCkc9yuhDOASUA9zxUyCMoYtY2lM2K7wUq4ZmoBGgL6OBCxDh64RzGmLYyRlw/YoLF1Da8yAqSulxUrDPcfA5GQvHvShrdxqzFWyB4sQAi+0VZkrNKDcre1aoBuGv73qunCDh7BlWWq+z4NhGHBsG5qmQdN1eK4LRin0OmzjE00DgnFnxWKRDSCOMICDXRUaCp+QNtv8/w95h6cy8LXgfc/zRNv47k8hb+ZMJNyXlFIxtgzTLPraFkL1fAk0sidDoag0BEBHwkR73ISmEeiEwJ//Myd8TSPoasm9BaioHMLAJKQuO1EkMLj5w1w3DFDPA6XUN0QCo0HTdT+Gtsrev0piGEbBkBDFJLqug5mmH9fqOCCEwLSsihooUTFNE4xSYSxpRT6jxYIx8PZX3OdPCHTDgOs4wmj2PA+arkNTOwwCPlc4tg3DNMEY8z2/jPmhDxXuK3WnF4lhmk0zmSsaE3m7LfSG/395PpcruaYWY5EQAstQk3SjwA3gehganPDDnAXtyRcDqZiehI2Sej4bDcOAbdvwPA9Gg+Uc8BAbAj8kCPDvF8M069uwBoPHUdvpNFzHAWMMuq5Dy2H8uq6buQNWAsoALhIVD6Yohoys5MBDUckYs4yt7xx/R9meUzQXLDCAGfd2BV7WWqEe5gqZRphbwrG7nus25HjUp0jgUvhYsZi4nrlVjPykR3G8ZZXkSVdXokjy3ezcVe8FCR/hRBOSeZIM40QxPcgydhkTxspURB0HPIFD/k4hXRXhO3LFrgEh73Ku78x3zvB51HiuOjzekTEGx3HE9rMWyEjVIg4YUA9zRf0JP3c5zRBzrihMoXnLC8nJocQ5Ts1eFYDL/bCQYcI8T2RH50UyjuUHFpHc+uGtb2Vk1J9chm4hzy43TrQcBkqp35+RyRx+zT8oe0xWWXc2w8jO809RHqZpQtd1eMH8wq+r53lArvlG3h0I/s6FvJjJyKJXKBoQ6nlwgm1yDpfIUuN2esIY85NUpZ0ns4xEVWUAl4nnur4XJsAwDGi6nqXxKZPhxZO8dxnHTWE4Z2kVEuJnmpYRD6PIDeWhCzxDeAqvLjcewh65SpJL3icXYXmfrGIHof8vhWKMbN4vmq6XFbs109GCxRSk5B95IZZxDeQFUhGQIHFHr3GIhUJRiFyav8rwnf6EC9tUYm5SBnCRZMQZBStQIPdKpFC8cJa3zn9xsipYyHDOMqIjGBri/yVjWXl2osOFyvNWfOJhLlK4C3+9UahVaEKWgS17pqWxLLYspYdXrsVcrbbxpwMkqJwUnm3kxU5WqEyORTlf5Mmf5xq/KrlN0QiE52RN12GqxPQZgScZv3IBn0mN+uLtGmUAF4mdTvvud77liMlyosV0flQPnkxebx6PPQ3+Dh+b7/u5F0554rLhgv4cbuDKXnbVZ5NM1R9izHJvZcgojuKdVIZyNDL6MtgZygWXjJoqMVP1qaJR4HMHUListWJ6QSkVYQ/c+OXhEOH5izuloqAM4CIJZx8CtZNGi/KQz7nNLRvJPIM8GDzcD8c1O5UxnGn81lPbcjohjFTJU5lViSn0d7G7HvL3kNBCZaYsWMLbw5qmibAs+ZhcOxtZu0RqLlA0EPKztxqasIrGRCT7wp/P+HV3HUdUHuTzG3eyRFWEUAZwkXAjkXtWGi0+Lqonjq+kRQnTIKGGSxzVWlqpUcgwflUlqKoSxSidatcjbBRn/B2Oo5fi5KfjzoeIkQtCFggAx3Vh2zZi8bj4rdxrAqiFr6KJkO5tpT4yc5BDs3i4Cw+lC+8C8OeDbduRzq1GUZGYltXU8XCylweYXDHxuEy+2iKuO+M8n9wzBgSC3Mr4rTtRQxvCBrEcRy8MYh4mRKnY+SDBInZaJNAwBup5GeVCTdOEHYQ6cF1U3TBAmS8wr7xo0WFB/8qhZrKiBgEylF4UlYWySV1Y1b8zBznpjUh2C5BdDIiHx1E2dUgdoAzgGQ8hBCQox2iwSYkRxhjsdBp6UBp0Jkw4QlKH+NVoZsJvni4UeigKL7KklEAl49gNxrym6/7uR5Mu+niyW9ZDQdMywh344k4xNXwh5UaRtJSYSfNmrWCSAayYGcgx30ao4iDRNDiOAzNY2JcyLpQBrBAQQmCYJnTDgBNkf3uuK7xK09lb5EkPOEtlFU8rhBdZ1yGbhrIiBQvCgewgDCgr2c4/UYYmN4CsvzOQVRcKvZ5DnSH8vvhPIL/xmi/hFUC0ciwzC3lnIEOKUgoTC4fYiN2zXNdc+gwPM4k18W5ho8FyeN0V0xs5l0EubsJDNV3HgWPbfkJ/MF/z46OgDGBFFtxD5HmeKPDh2Da8oNxps3rICiErepRSUlHRPHAjB4xCJ4BuWZOSXzzezE0Brh8L7pktgNEYHlPmOvBSY74x39qZ+R7/D+qBMc835CgFKAMYwOxkljHtv5H1LVO0YnJhAEIAogOaBpDG2/oXyiOhkJhiNZF5mMxUcx9fVLmOI76v0fqkWeH9yIu/qH6d2fDy657rZgoTEAJdGcCKctF1HVo8LrLKeYJYKbJvjQ6TkoIU0xfGKNjYEGhyBHBtwIxD75kPTTdgWpYvbzi+FUhuBXS/yITupEATnYDVErnsdF7C0oeEgATGOEuNAxNbgYlRQNNBunpBdL/sMagD77VnwNa/gTQYSKId2rwdoPcuABj120V0oHMe3C1roQXGOwNAW2cBIPDGN5XT8ig/DtANEMMCsRIgsVYQK17l78wkI8E3pGscBW7Ua5KSSDExvSR4+LrS34rKoOu6KHksx7Qrpi/8mvP7WQt5geU8BkapCAObGB+PdH5lACsKwmXA9ECHjwZbxrkyMJsV2SM0Hb3bihCaBq19Npg9AZZOipcJIWBOCpjYChJvg97Z63sPhwdA0iPQ2zpBtOjjnTEKeC6Y5wKeC9Dgv6nnv06D/6YevDX/gbdhFUApiGH6hnGiDfqO+wCaDjrwJui612HscgBIawe8da/De2U5SCwGLd4WeHYZ4KbAiAFMbPT/JgZYx1xoIxuA8a1S6wiP3wD36PrbhwTQAq9uIFvne3h1QNcBok1+V2C4g1IEEciA54B5Dlh6HBjdBGIloHXMAbES5V61UN+yvN7dXIhS5CENaaDyRmp1i43PXPi2t+M4cF13eiSuKgrCJc5osKtSqOwx0TThXIh6DyoDWBEJLZAEk+uvO7YNbxpU4uFB9iq7ePpDiAbS2g0AoNQDS41Bni6Z43tOtbYe/3hNg9bSBW94A1h6AiTRnnP7labGwOwU4NlgrgN4jm/cRm1XSweMnfYDaesGCAEb3gj3+UdA2rqgd80BXfsatK45vmd3yzoYlgXHioO++SLIrH4Rp6y5LujcXUBHNgL2BFh3L+A6IAOv+cZquRgWEGsBibeBtHaBtM0G4u2+McwNfCftLy5SY2B2Et6m1dB65kOLt5b8tWHpxoIhDEGcrix1V5f7Ws0lFUfTdUAqRGUoObRpj2EYsIMd6EpfczV6FEWh6TosTRM1uannId3k3mC+TUqU93dGIAxYLfBmyrYUdX0PoW5Ix+m+59dNA2jPfc7xIbD0RPYbhACa4YcG6AYY0UCo54dfODbg2mBOCpquAekxYGyz/zH+P2NbwAibPMZJiXaRljawVNI/0EoAmg7NSYNsXQdvziJAN4DRTcBzf4eXGvOP4x5dXQPRDMAwg5CFGEi8FUTX/RhiSgPvdOC9dh34HuagzeNbwTav8X9jvBX6TgeDmHGQwEAGusFcB3R4A1h6HHTLWpA524GYxSWFTVmOPFSdsd7lyPn2PICiqnwqoiEnP3muqwzgGQCP9XUdB67jiIVtJVCjR1E0hBCYpgk9kCHhDylmGE25LcU1A6OWT1TUH8ZYEErgTIYVMOrH0jIGYsagJToKn0TezufnzHccIQXjSUmsDdB9Y5Jphm/kOinfKE6NA+lx/7/tZN7tOcaY74F2HNB0ElrXHOjb7Oyfe83r0HoXQV+wC5iugxgxsDefh/vm89B33B9aV1/GuXh0ZOrx34NuXlu4H+Tf0doFfe4O0LfdBfqs+Rltg+cAdgosPQ6WHAHGtoKNbgJS42Cjm0F65meeyzCh9cyHt3m1/7tTY0UbwDz3AJhUYODhDI20Y0OlEDFOo7RtuqHrup9kGOwKqLC16Y8ehEHw8u1aARlH7imOgjKAK8BMzUgV3uAgSY7rBzddgpyS12l4GKVgTtKP2bWTfqxuoS39RDswhQFMiAYRy4ogBljTg5jWnB/I0S4PSI4CyRFgYsRPrkuO+q/nQ9P9MIJYC2Dx/48DmgH72QdAhzeDaDpIx2yQnvnQuvpAXviXb4jHWuGNDIElN8PbshEsNYHkc0+AmQkwz5scy5oGYsbA9DZoc3eFnmiF1tYGohuA64BxT66dAkuO+R7d8WGw8a1wX1sB97UV0GbNh7n3kdBnzfPvZ8MCDAukpQPongsA8N54CmxoPWAnc/5UQgiIlQCzk/5CpQhkb6phGA2Z9BQuPQ34XmlDqclUDZ78xNU2mrkwlSIa3PNv2zY8z4NeYOFDA/WqKCgDuAz4BC0SqGZgZSWeJEcCKRLP88CApooLVgLrjQmjHlhyxDfQ7BzhBYC/za8ZfohCIMUFooGYEdQHtEwPMADAiAHMA3Ntfzsf8L2/rg0SbwdLjYOObQEmfGMRyZHc+rtEA+KtQMyPe2W2DZYcBenqhbFo77xjzTrwOLhDm+AOrgFd9W+4D/wWtk2ge+NID9yL8dt/OXlsZztiPZ2YePEleKn01L8XgNbaAWN2P8z+BbC2WYT4zgdDS/A2puBtXA1v7avwVr8Munkt0v+4BeZeR8BYvF/uNvPfl85tAAMA0U2/h91oDyUO19QF8pe+rZfzgVeFcyT5Jb5V2wgeyek+p+mGIXYHlBd4ZqAFJdv5bktePfQixrwygIuETywu154LtuUYY6CB9mMjeiqqDa965Ni2/2BgrGDGZiPBzZdmaOtMgFEPdHQT2PgwMoxT3QCxWnyJLTMOmFbgxS0OcZ35Z6WvIIYF6Cbo6GaQjjnA+FbQsc2+zNhrT8JzcxiaugnS0gm0dgK6BZYcBR3ZAjq4FnTrIOBMfkafuwPI9vsAALyJMTjr3oS9dhWcgbfgbFgLb2iTaJCeiKF17hw4GzbDMwzEZ3eBGAbsiTSIHkMs0QIGDcm0AaJZvtfXMKCZJjTL/6frxDdsR4bAUhOg4yOwx0dgr3oV448DIASxHXZH24FHIrbj7jDmL4YxfzHonu+A8+w/4K1+Gc6zfwdcG+Zuh2b3ZSzhtzaPBxiACHtgufquANy41XQ9694UJdwDqTOu01tthM5vkIgFSAWE6uj8YIyCpZNgqVFfTo8G3nbNl6WDFfdjtK2EvwvQ5MjqAFNtiSumD4Zpwk6nxXXPdc/zhWik81W6gTMBO50GpRS6YUAPJmdCiCgc0YxxsJVA13XAskTSCi9T2PB9UaQovqJ6MDsFb8uaSQUFw4LW0gkSD2JsKzCWGPV8pYJgS56mRkGclP9dsRZo7bNBt6wF27LO9yboBjAx7CfBEQ1o6QBp7fZVEFq7ACsBlhyF/cjvQIcGsr8wCGfQunqh924Le92bGLr7eribchwLgMRbYPT0ItbdBg020NuFDfffj/4Dd0Witwfjz76OWLcO3SAYevENjLyxbsrfvP3XlqJ18S5wt2yAM7gOzvq3kF75CtyN65B+7XmkX3se1sKdMfvj5/ixu4l2WAedALe7H86/H4DzwsPQ5mwDfc62mSfmxm0BAxhGsEVNPTDPjWyAGUE54Vx4ruuHHQQOCCcoYlLN8CsWzGlyQp5R57wH5jqgY5v9mOxc8xh1wWzXVwThr1kJaG09vk5zo8/NBeBxoZ7nwZihYYgzDU3TRPiL4zigjAkbjMPDJaKgDOAiSCQSMHQdLPBuhgXSuSE8U2OCgZAR7HmgmlYTz0yphMucKuoLTY36xq9u+rGvVkvldVrtJOiWtb4xq5t+mAUItJZOIfGF4cHAcGOAbkCbtQBk2y4g0ZFTLYRuHRTGL2nrgt67HbSeudC6+0E6ZmXoB489/ndh/JJYAvGd9oTZvw10ZxTG/B1BNAI2sgl0ywD0udsjtewheCkbG5a/jJ7dFqLvwF3h2S5GVg4gldbRsvNuYHYa3vAQCEtDM3S4E2k445Me1/GXX0T7nvvCmrcQ1ryFYHsfAnv16xi+93Y4698CANirXwdNp6AbvveEDW+Et/71yd84sjnDAGbpcdDVL/p/FPDEE03z+9JNg45tgd7ZW9wFC/d1sAUqG5/cCNarNPd6objCehq+jDE/EXFiOJDxC9AMX8kj3jYZAuQ5YE4azEn5Mn1uGuDj30pAr4JGc62Qwx6o5zX0c0ZRHKJaZ45EV+7d9QIvMM8TEAQ2WBTUiCmCXXfd1XevByUxs7RAVYlGAL4RzAwDruvCCWRLlMSYIhJ8WzneBi1Wum5sIbR4G7R5Oxc+Zu5OoG+s8P+7b3toUxhtWt9CkHgrWGocxvb7wNz5wLzHtr7tcIw9dj+8rZthLdgB3e//NEAA+/E/wnvjaQAEWudsGDvuC32bXbDNdntBi8ex5f6/YHDFK7A6WmC1x5EaGoc74Ru5esxE27weEGKBUopYRwvscRvo7EfngYdhznvfl9GGzTf/L9Kvvyj+ju2wGzre+T7ore2gY1vhvPgveKteBMAAzYC5+6EwFu0tjqdbN4C++ayvDGEloG//tsL90xF41ceHQGMtfvGOEnFdFyRYWPO5VhOSdpXdzQknufGch3rEnIoqhuNbJ0McAH+R2D7LD28IP3t0I8PAZZ4LOrYFbGIrYCfhbXoLJNHhFytpstAIIYnmunBdN2eojKI5cRzHV1QJKivKOzs85EjTtAyVGEEQphQFwootij5DGRkZwWc/8xlcf/31SLRkeqV4XBiPSVHahH6f2LYNFiQoNGo8MC/vDADxRHN6QqYT3vAg2PgQSGt32Z7Cstuy+gWwwTcBw4K+2zumlPBy33wO9vK/AGYMiff+V0HPmjO4FoM/vxxwHbQeeCQ63/2RKe8P5nkYefIRjC27HcxzkR73kBoaA3MdtPZ1QrcMeK3zEN9uIUwLSL+0HLM/eT5i2+6Yda7h++/C2ON/R8seB6LtoCNh9M0H2zoI59Xl8Fa/LAxJfZudYe59JLQWX1GDuQ7o2pfBNvleY7R0Qd9xv0hJh96WtcJjSVo6obV2l6QLnE6lfBlGaZ7ligDcM1suItZXSnKrVwl4xlgQV75Riu3VfcO1pbPoPgQA5jmgI5v80AkAIBq0zl6QREdDztP54OMBQFNr0Ssmka+pjGGaOW0r2YT1gsXQ6Ogoevv6MDw8jI6O/GpAylIrgrVr12aFOHieJ/TpeHyKYlIrmMdLN+wW1TTPlm5aGuB6aPN3gTe6GUiOgr71HPQd9i94vL7d7iCvPgk2vBHOS4/B2vvIvMeavfPR/b5TMXTnLzD+xD+gtbSj/R3vLTwONQKMbUJi9/3gjWxBx8Kd0bHkeHgTY9jwv19B9wdOR2LnSS/txusGkHzhyZwGcNuhx6Dt4KOA4fVgAy/DeeMJeEODYBOj/lf1LYK5x+HQe+aKz9ChAdC3nhNqDqR3IbT5u0be3dG654KObPQl1yaG4U0MA2bMN4QjGl7csxOWGBOqByV6ZuWkunCluXomuTE7CW9k42SSoW5Aa59dtqFKdBN691yw1i54Wzf44SlbB4DxIWhts/wwiga4B6dClkTzXFc9f6cBopBMcN9xzWe+GA0bwfI41YMdARUCUQX+9cgjoEHRB97pDAAYU57fHPBwER4KQSpYwaVSqO2PRiO4Ip5T+LAaQDQd+qJ94b34ENjWDaCDK0HmLMxfi55osPZcgvTDv4X7nxXQOudA33bXjPhfmZY9DgAdHcbwfXdg9IF7wBwbne/6QN72uBvXI/XS05jzmS9h8+3XgibHgzccMDsNo7Mn43hz3kK4G9eCOTaIGc6S90BffdSP4x3dCmLFYfQtAKMM+o77Zxi+4vdZcd/4jbdB33YPkPZZ+TsvT//onX2g8TbfCE6NA05geI1uhj5rm0npuTywHJJXfIEtV4LLBxfSlyXW8reXZCQ61xLGGOjQerDUKG+Mb5i2dZekfJIPYiWgz9nOD00Z3eRfj6F1/q5H97ySvMu1RpZEY5SqcLsmhy9y+b2nSZVn3UBpy8yj+hFlDpBRFluReJ6HeCwGz/N8gw6YsaoPUeCTE2MMdjoN0zQbKlZLlEFukPbMdLhmLEuOwtMG/Wz1OsYmkkQ7yJztwDa+6Sd8bXwL2tzFIN1zc44Zfe720OfuAG/967CX/xnk+Ydg7HwAjIV75jQm2g55FxgYRu777ZRe7+H7fovWA46AFm+BFk+AToyBppO+IafpoLYfysMY9Y3NtnbYa9PwJsaEcUzHt8J95Ql4616D0bcNvE0DgG5C33YHaLE4WHo8b3+T1i5oOx7gF+gowwjTYr4+MvNcsIlh0NHNgOeAjg1BD1W0y2qDpsFzMhdH3GNbSPooV8GK7JMTaIHsWj2M3gyoJ4xfkujwvb5GdeQ1CSEgbT0giQ7Q8a1g40OAa4MOD0KfvaAq31lJeI4JV+lo1HA7xdQwxibrKkhlzQ3DELG9U6l+KAO4yugVijObCRBCYMVisNNpv2Sy44AEW1Vc2LqeeIEBrKo2NQaktQvEtf0M9/EheONb/cx2Mw4Yph/7COL7iak3+U+cgPiKBHJRDPGa7n++yIejts2uYGYMdMPrQGoMdOXTwLpXofXvANIzP8vjZB18Atz/PAXnPyvAkqNwnvk7nOcfhrHdbtC33R0ar6wW0H7I0Ygt2BEklj+ONvWf5wFNR+sBRwAA9K5ZvufWjEHTdGjxFrhbBv1wBwaAwK+U59pwX3sK6OyGt+EteOteA8Cgdc4CGGDu+y7o83fyQ7uSo6BrXvIru3XOyd0XFYzLJrrhe5F1A3TrgF/dbwp48rHneb4ovufB9TzoOcLP5EJFsuGrSQl0BBALj4YymjQ9KNVN/RCRKhm/MkQ3oHfMBmvphDf4Bpg9AZae8CsVNjhyuJ3neWo3tknhHly+qyMbwVoQ6jJVCXQvnBRXgIbeK7j88stxwAEHoL29Hb29vXj/+9+PV155JeMYxhguvfRSzJs3D4lEAkcccQReeOGFjGPS6TTOOecczJ49G62trTjxxBOxZs2astun8gejwY1gvmhgjMF1XdjpNOx0OqOaXi3hcX8AVOxYg0CIBr2rH1rP/EBjloGlxkBHN4EOrQfdvAbe5tWgm1eDDq0DHd7gv8f/jWz0XxtaD7plLejm1fA2vQVv45vwNrwOb/1/4A6uhDe0zs+GT0+IMZC3TZoGbe6O0Pd8J7S5OwG6CaTHQVf9G97z/wAdeN0vLcyPNyyYux6MxHFnwnzbMSDtPb4h+vozSP/jZqT+dC3sZ/4Gb+Nb4rutbRbBnJMddsAZeeAPMDq6kXxxBUYe/CPSr7+I1OsvYd23z0L61edgbbsD7FWv+gd7NryVz8Bb+x+wdBJ001tgW9aAeCnfy9m3EMbOB4KYMej9iybbHZSPZqlRsHSeynsSjDEw1wZNjoKOboK3ZR3cwTfhDrwGd/1/4G54A96Wdb5XsUBpaJEs6KSnnAdEWJXj+HOH58EIktNytc/lesGYVHCwYjGxtUoCg7qhjF/wEtL+gijKwqCi322YIC1dAABvZGNTPOfk4gduSKtZ0VxwZ1TYkOXXtJDTTH6mR6GhVSDe/e5346Mf/SgOOOAAuK6Lr3zlK3juuefw4osvorXVl0i68sorcdlll+GGG27ATjvthO985zv45z//iVdeeQXt7e0AgM9//vP4wx/+gBtuuAGzZs3ChRdeiC1btmDFihWRDZ+RkRF0dnZiy5Yt6O7urtpvnu5wbwzNIV/CE01q9TDi1fyIpiGm6sk3HIwxwEmB2Ulfx9RzfW9voA8JogUlkPXJ8AFG/apt1BP/DcaCzxWYGA3Ll5GKtfgFAvLE7QJ+Bj3b+Bbo4MrJKm9EA+mZD23OdiCtnVm/gw6+BXfV8/DWvJoZ32zGofcv9HWDZ88Hae/JCi+g6SSGfn8j0itfgd7WAb17jl8wZHgL4ru+DZ3veA9G//knTDz/JFoW7wSzxQLRdGxd/gR0y0Dr/D6gtRNm3zbQtt0T+pxtwdIT8F54ENoO+0PrnCMSe+mWdaCDK6H17wCtqz/7t7uOr0GbnvDLUxcwbDMhfmJVoj0rwYoxBm/gNYBR6LO3E4bfVFBKCxqvfJ4BJsuoNpqhWwhvZCPY2BaQlk7oOa5FFEqV5WSeC2/wDYAxaN1zoSXyZ9I3CizIz6FBHLClQiGaEkYp0oEyUyweF9fQsW3h3c8X7sSf6aNjY+jt7Z1SBaKhDeAwGzduRG9vLx588EG84x3vAGMM8+bNw/nnn49LLrkEgO/t7evrw5VXXokzzzwTw8PDmDNnDn7961/jIx/5CABg3bp1WLBgAf785z/j2GOPzfld6XRaXATAN4AXLFiADQMDmD1njliF8LgjALCUEVUULNiuciUh61pKpvEts0I3lGL6wBjzCwO4tu9t5MUBqJt9sBmHlmj3s+3zxMQy6oFtWQc6+CbA5aQAoKXTN4R75mUZ0sxz4A28CW/tq36RCTvk3dMMkI4eaK2dIPFWwIz7xTo8F6AUAANxbaTXrcL4qy8jPrsLVksM1HGRHNwCN5mC0ZoAtV1A09H+toNh7bIftFnzQF94ENqifaB19vp6sK8/6cf/7rCfMJSYnYL30kPQFu4twh0YY36s7vhWv5BCGCMGYvr/YFgguumL0XuuX3QhOSKUI/zfqPtGsJXwq/sB8DavBgCQlq4p44BnCjQ56iekaTr0vh1yzomMeqBjQ2DpMcC1QVq7/WQ5TZu8pq4DyisZ8sqKUyQbAoA3sglsbLM/RnoXNYUxqWTRpgfpVErE9RuGkbG4yfe85nlGjDFMJJOYNWvW9JJBGx4eBgD09PgJHStXrsTAwACOOeYYcUwsFsOSJUvwyCOP4Mwzz8SKFSvgOE7GMfPmzcMee+yBRx55JK8BfPnll+Ob3/xmzvfk2BQGqO2WEiGaBiOIx+P6fVyX14rFqjrhMsYmt1TUJFkRhBRVgz4oCSG+gWZYgFSIgXmu72W2k2Dpcd9Yc1KgTgoY2egX5WjtBkKFBoimg8xeADJrG2B8CHRwFdjWAWBiGHTVv4E1L4H0zIM2az7Q0uV7K3UTxvzFMOYvBqMUdMt6eANvgG5aA7plwDfQtw7C2zqY8zcIoyaZBk0lQZMxoCUGvWs22hfshPSWrXBHx2D1bYOWvQ6G0Tvf9+wOD/q/PfjdRDdA5mwHuvIZsPGtfklnwF8MuLaIOaXpcdDhjZmGr5WAFmsBsVoAK543IY4Yll9Zr63HVxdIjoAlR/3yvBPDYBPD2b8vl4E9Q/FDQwhAPXib3oI+e9vseyvY1dBau4NkQqlABjd+tw6AgYGYcbD0BKiT9jV/8xjBjPlhR+L6eE5QnbHxzQWu3MErhCkDuPmQFVr4c9qx7clQnALPF34MLZTsKtH4IzqAMYYLLrgAhx9+OPbYYw8AwMCAX060ry/TY9DX14dVq1aJYyzLygpb6OvrE5/PxZe//GVccMEF4m/uAQYyY1CELqWSXikZUdlF18UKrtpGsCqBXBlyyUrxhAWjSdRRiG4E8a9+yBTzHD/ueGLED8FIjcFLjfmatW09IPH2rBLoaOuB3tYD5tpgm1aDblwF2EmwjavgbVzle0k75/gyVq3dQLzNr2Y2ez702fP972UUbGwr6OgWsPFhMDsJ2CkwNzBANN03TK04DCMGY89xWHMXQZ89Txis+YIH2NB6kERbRkKT1j0XdMNKeKtfgDZ7W5COOaDr/gPS1Q+mm6Cb1/gLAsAvlNA+q6BHPG//EgJYcehWHKxjjh8+kR73Y1t5SItugBgxaG0qvIxDdMO/RsMboOXR5SW6CS0Im6HjW4PQoMnj6PgWMOpB7+oDsRL+DsTGVWDJEZD22VnnY64Nb2jdZGiPpjddlThd1zPmpGaYgxQ+4ZLjGiGiUBUQlCDPs6jhtQecImLAm2ZUn3322fj3v/+Nhx9+OOu98ACPMuinOiYWi+WOCyVEZH3zLGMAShWiAmialqEYYafTfhxXFRYXckB9I0+QLD0BOjHsGyLULw1JzIS/hdzSWTfNS67okWulze8L7oExDKOptDmJbvpbya3dYE7KT+JKjgQaqesBfZNvCLd0ZHk/iWGB9O8A0rc92MhGsC1rwYJCA2zzGrDNQfKtZgAtHf45grhY31vaDaO9J0ersjGpB6QnACflK2TkgSVHwYYHRSEPeaGib7cn6OCboBveAFa/AFgJoGMO2Ja1k7+ptcuX4SoQFx0VQogf2hGvTpnr6YaWaPc9wQX7nse/M185QoKlJ/wFW5BoSHQTJN4GZvsx9VmGrWYAruPPM6090Nq6K3Ldawmf03m+iVKEaA5k45cnNXLjlxASyRbQDQMM0e2xphgZ55xzDu655x7885//xDbbbCNe7+/3EwMGBgYwd+5kBvXg4KDwCvf398O2bQwNDWV4gQcHB3HooYcW3RY5SUuuWKI8wJVBGMHBlkc68ARXun+5Adyohhlj1C9VOj4UfsOXJ7IngLHNvlcu2F6vFXL5aGBSVopfIy5NxWO8Pc/zPcK6LrLumwVixqF39fuey/Eh0LEhX7N2eAMwuglaa5ff/yFDghAC0tkLdPb6scJjW8BGN4ONDQETw36owdgW//WMD2q+IWzGfLUJok169KgHeK6IYeZhCaRjDvTFB2a1XSS2bVzlL5YC7yohBMxz/PPHWkH6FoHFW/1zivuBgLR0+IZ+hHhRRfWI7n1lGd5fFkgE8iIofDwQ3QR17ZxJoUTToHXPBTHjTeX1DaNJXmBF48PDHIDJPCBZzaGY3WDDMGBGzOlp6BHOGMM555yDu+++Gw888AAWLVqU8f6iRYvQ39+PZcuWYd999wUA2LaNBx98EFdeeSUAYL/99oNpmli2bBlOPvlkAMD69evx/PPP46qrriq6Tdz9ziV2ADTNVm+zoGkaYpYljGA7na5oQkNG/G8DGsCMMdAt68T2M0l0+AaMYQKU+tW7xrcGhtggML4Ves/8mhgqjFLYwUTFZaXCfagbBjRdzwiPoJ4H2/M92HoThUdwiKaDtM8Gae0Bm9jqG8LU9eMuRzdPeuRjrVm/i2g6SMccoMPX1mWMAkk/xpIlR4HkqH+t7aRvlKTGwFJj0RqmGXlj4nhSGxvf6msZp8ZAN60G27wapGc+WKI9SMILTHBNA3TTT5Jq6WxqA2hGwmjm2OMqKCTHvMm4WHQ2mhQf36zomgYPk0VSmmmumWnIthSRkuBljf5qXb+GnuH++7//G7fccgt+//vfo729XcTsdnZ2IpHwE1LOP/98LF26FIsXL8bixYuxdOlStLS04JRTThHHnnHGGbjwwgsxa9Ys9PT04KKLLsKee+6Jd73rXUW3iV8IeetXJVFVHhJ4gnnmp2PbIBXyBDMujYXGNIDhOcL41Tr7oPEEJQDQ4Wfct3b7HsmRjX7Vpolh6B25ixdUEtd1geCBUmhVTgJDVw8MYdd1/XtGCo+otexdJSCa5lfNau32C0eMD4k4YZYa82NZ4+2+ERFKmhPnIJoIf5BhlPpxw3bSD2ugnlB+QFDtDboBGKZfGISrKBRKChla5yflvfmsb2DH24C2WWC64f8NBG1ugxZvz9tmRRMQDoEgGvzFDQsdRrNihacbjbqzp8hEVncA/IImwsaqgZOqoQ3gn/3sZwCAI444IuP166+/HqeddhoA4Itf/CKSySTOOussDA0N4aCDDsJ9990nNIAB4Ic//CEMw8DJJ5+MZDKJo446CjfccENJHkUR/iDVq1YPjOrAPYz8BrFtG7EKJMbJiYsNee100zdu7KRfkEA2gAMIIf42JuAnKLV0Zh1TDfikZJiFDS8ZLdDk5J5313FEaVrXcfzSsw1clCAXhAQhAi0dYE7aj9OeGPZDFMaH4I0P+drAXFvYjANmrGA8JdE0IN7qx8iWAaPUN8qdFKidAgzLT/DrmTtpIBkWtESHH3tsKL3UaUGgj82vJeHV5FxfplNcYzsVSNVNXyMxrDOtxnfjETZ+DdOcVNeq0S5tU+kA1xNeCGN4eBjt7e1Ca7Aa8amlwgKDibm2PxEGskfNHsMn6/tN5Xks5lymaTZs8iKzU/A2+UomWs/8rG1JZifhbXoreH8baDVIKpI1NmOxWMleFp6ckq8CIDeIK7X1Ff6O6imLULDUuO8N5kmLYXTDvx+NWPD/lh/aopW2kGaMAq4TaBoH3mNZc5dJcaFmDCTW6o8lM66MgmkAY9SXPiMavMGVfrJiS0dgCGvwhgfBUmN+iJQZA02Ng25Zk3NOmW5wLdlGekYrfMJJ1JZlZeykU88ToXZyMYyoyPbatNEBbhTk0pqNcGMxOwVvZHByS5O/Dvg6plaLH9OXaMur2dnIcE8wN1wd2y65WIYs19XIoSvEik+GOQxv8D2J2mT8OR3Z5B+X6KiJ8cu/d7KBpRtPhBAhZ8MohUepf12CFT/lFbwcJyPBLsr15p4DGjpnrjZwbxn/p5XpgSZEE3JqfhW7dJCwmJwsuOG5foGI9ASyTH/N8A3krOp2wZG8yh2jIiEub3U7zfDHUBAqQcy42haejjh2sBAO9E9HBoHRjf680NkHrX0WqOfAG1rvx3hTD6S1GyQ2c1Q4mtHHl3Y9jKUcuJSBMgadEJiGhoSpI2Y0V9hYLjweEge/YEn4WVyL+F9AGcBFIwdsN4L3kI5v9TPSA0i8zRc8ZwxwkqJkKbMngK1+fXkSbwNp7WoqY5hvo9vBlonrODCt4j3bsmxdo08iWvtseKlRwHPhbV4DvbMP0A2w5Ih/PUGg5dDyrBaVlo7zM9J1MfllGK9B8gqlFDTwBOjBsWEjlTEmSmtHzfrmceC5Ho3c6C4n6ZJr38plfRn1fKPYtf1dGv7/vDQydf0iEUV/meZ7d824v1CyEiqBbYZArDj0uTtOlvxm1P9HgnuU6H7lv/SEKGYR1rGethAyuXhsEhhj2DSWxoSdXZ0y6XgYSTogAOKmjo6EibjZXPc5l8gUAgJBHkjWcTVKUm+u3msAvCCRB0Ddq8yw9IQwfkm8za/uo2fKfzDXAUsO+6L+njO5TTo+5G+XJTqaZjLUdF3EBHueB53Som4QOa6o3tcuCkTToPfMh7dpNeBMhkSI91u7RAGEWlDtSm9y4hxMU6hI8B0XLqkW5TyapvmGeg5jnTE2aQBL//jY4EY3C8pwVuz3abovcSYVo+DtEd5h7tmlHiaTl8hk0hLR/H+a7p9PNyaNHcWMhBAtn6CD/75ugtQoR6CRIAjuoCYygsdtVxi/LZaBhKlDIwQupbBdiqTjgTKGpOMh6Xjo60ggbjb+s0yeY4UDkc/1OaB8l7bK85oygItF2j6v50OHMeaHPSDYBu/qz51xbpi+fFPbLKEuQMe2AJ4LunUAGB+CPmtB04id67oONxA5L3ZrS2j/NkjoShTI/2fvzOMjK6q+/6u6S2/p7JNkMjDMAMMOgijIooAIqCwqKsr2gIAviAqoLOIGLgyIG4/g8ogoKCLoI7g8KgIuCLKNbAKyCAwzMDOZzEwy2Xq5S533j3vr5nank3R3ek3q+yFM0n37dnX1vVWnTp3zO0YUWve2EKObvG10El7mf7Slpt5fwBuMXNSu9DfnHNw0oUtPsO/lLRg37McMFxPGMN1z8pqSihWO7Xlmq61UwRjzEh81YyY7RqFQlEAxpXMbDdv1xtZEREd3y9S6jkQE2xUYTlnI2C42jaXR1xaHoTXmfCZcF7af9BxG0/VppTDDKk3VDttSBnCJhHwydUVWpgLjXqnKWW5yxpifcGOCxdp8Uf8hr7rV6CZo7X01avncYeUawE1atpoZUWhdXhluEiIn07uWcE0D/MGslpnVOZ5hn2qUspaGs2EYcBjztupsGyRESaoXCoWi/lR7x6oauK7X5ukMWsYYTF3DomQUG0fSsFyBjaNp9LXGoDeYEZxf1lgic0BmckTUisbqsWairt5fESRB8ZbOkuP9GOfgyS5onUu886VGvLCIJkHeOKXcKFJ5AGjs5LfZqGcltbBntd4VlsLJa9U4t+57KABvILey2YJlnxUKReNRjQVyLXCkJBifuc2cMfS0xqBrDK4gDI5lgrCBRiC/slskGkU0FkMkGp1VxSm8cKn2d6cM4FJpgIuM0mNezCDXg/Km5cAicbCYJxHijgxWqnlVR26LTJfhXwhVtroyyL4rJha3mWGMQTeMINGSiGBZVlCdUKFQNC7Neo86wmu3XsQcpXGG3mQMGmOwXYGtqane1nogJc6AybLGgTZ1EUZtLT33yhIok3quKcXEVgAAr4CSA5fVw+wMyM7OsWW1QRphxWb9q7LVlUMqn0iVhvmOpmmIRKNB+IVwXWQzmYJxbQqFokGooRexUhARXCET7Itrs65xdLVEAABjGRvpAuoRtUa4buCcKkeuVBnADUww5dXppiI745VJBSqS2cs0PdCEpMz4nM9XC2SGP4AgUUkiZVakeoDjOEHxBsZYU4c/NAI5YRDz3AsskTrUZqj4h+tfV1Y26yXNTZOcp1Aoak8zJsBJ4xcAtBLaHTN1tEQ8NaDhVH13qMLe37KdTTU0gFUSXKnUeZKT3l8WTVZM65NFWzx1iPQYeLKrIuesNrpheHGZvlQW4zzI3i+ENGKaxRvQqMiENMdfYDSCFnatkFrUUsqHQgU3wscwf4EmF2nqmlMoakszJsBNhj+U7rVuj5uYyNqwXYGM7SJm1mdcDocaljs31PK7WzizV4Wpx21FRF78LwCWqJyuI4u2ACMbAccT6W+G0smcc2ia5mWa5nmBZZUv+EoFsrBBMw2GjQzXNCDk9VxI/RpWpAhLs4U1hCEEwsuwwChmLEhiXEh9plDUmuY0gGUCXOkb8xpnaIkaGMvYGM3YdTGAKxVqqAzgBqaeWyuUTXk6sFwDM+Ozv6BImKaDmXGvYlx6DKyJvMDw5aoAz9DQDUMluVUZadCR733XjdoV42gkwl7esNC7LMEsx4pCRnG4WEe9NcUVivlGIFfaRPeV45YW/5tPq28AZ2wXluPC1Gsb7ueEE83LDDUMy5uWqwHsui4y6eJUrZQBXC51CIWg7AQAv9xxhW9sFmuZLJmM5jCApWarpmmet7eOEmELDV3TYAsB13UXrAEcRnp1w4uvsFEswyXk4C5l+VzXBXMcGKapFm4KRYWQSVjNNB/MVcZM1zhihuZVibNqbwDL8MM5aabX2K5SBnCJyJWN4zi199zIi4NX4Wvzz9mMiTyMMRCaa7BrdupVFKOZmMkoloax6ziexFo2C91fzKm+VCjKJ8eL2ET3UszQMJaxMZF10BYTZVV3c0pUkagklehzQXNX7+CcwyjSKaNcDiUixfGJqCQd2ooQXBDNZ6RWAxICVjYbZOPXuzjDQiI8ODXjoqleBDHpmgbDMBCJRnMUTaSqhOpThaJMmrQIRszUETM8B9vm8QzcEucz2xVBKeWY0Zy+zUoY0aUk4CkDuERkEgxQh2IA8qJQkyMAwLbtHKN3ochyNQphPWZFeUh1EhlGQkRwbNvTGraskvtWGc6KhU4lvIj1oiMRAWOA5Qis35ouSdc35R8bNTRos1SSqzSVqrwnx7tahYM15zKhznBffcAVAnpNt39rYAA3yQQqt5ABrziDG5LlarZBr1lhnAN+fKuifGTpZU3Tgus4J0bY9xqHFSTClZWICMI/Nmwwh9VQJARvFGG+F5qruHnFPCOI/23CmHpD41jcFsemsQxsV2BwLIOWiI7OxMzlgwEglfUM4HidJNDmihzHAGUANzTBl1Pj+EcZ66pCIEJ6g5xD9w1gFY9aWzhjcDH35A2Fhyy/rOm6Fx/sukHFPdd1gRJ3OIio4IKWAJB/bml8KyUKxXxBjke8Sa9nQ+Poa4tha8rCWMbGeNaBIEJ3S3Tae9R2BSw//KEeBnAlPMA551AGcOMiZT6k16Vm2dsqBALAZAY9gCBpKPg+HAfcbHwd4/mAHKTIN9Y0VWWvIoS1hgtJqxUKc5D3gLwfCh3HvAOnJODZtg3uuqpQjGJe0MweYAlnDJ2JCGKGhsGxDFKWi6GJ7LSe4NG0BQCI6rUPf6gU4fCHWo1DygAuE41zTwTfdYGayUBVMQmuiSa+8OQujS5NGsBCQIly1QZZYMR1HNiWBRaJKCmvChM2hsMExi0RUCDWcbYJRNO0YOdElnLOZjIwTFMtZBRNS7MqQExHzNTR3RLF5vEMxrMOGGPoiOcuVNO2g3E//KE1XqfZrxIKEDUOfwBUElzZSDm06TwyVUF5gAEUXinmh6UoakO44o+VzcL2pdEU1SWIBZ6Dt0SGXJiRSa+SbVlw8iorKhTNQqWSsRqJhB8DDABjGRtbU1bwOS3HxZbxLACgJaLXTf1hriN+OKenlgaw8gCXSb4MVE1uNmUAexRYbdbl+1CAMQYzEgkUC1zHAYjmJoauqCmcc5iRCBzbhuu6k+VMVYETRZMR9v7Op/EnGfXuxaGJLEYzNtK2i6ivGwwAOmfo8I3kujBHD/Bc439lGWYZJmYoGbTqI7/smnu8qvp+jW9cT9fCcEyqonbkS3m5rqu+gyZDfoeBJrEfFqFQNBPzIf53OpJRI/AE264IjN+YoaGvLVbXpL+5Wg1uKPyhVCNauC6ymUyQ1KtpWtEaysoDPAcY5yA/S7sm76d7yV3kZCvv5QxKRzZR/F/e5w9UCYRAE32KpoaIcqS7JPNxAprvuCGjd7550BQLAzkGNasCxGwkowZ0zuAKQtZxg+IZTX+vSg9yGfOGbdteYaFQ8rtIp4t6rTKA50CQklYrD7AR8d5VuIBrA3oF1Q5cP+6vmRJg8vqdc+5JRy30EJEaIfxKfDkwBlOpCTQdjm0HoQ+cc6UIoWhKgrl4Hl+7MV/mrGU+pXvP4fsioqIrv+WjDOAyEX6sCYBACq3a8h2Mcc8ItjMgKx14hCsBOZ6MSiXPWS2m6+FwCISKA64usmIZMFl6UuO8oCKBorGxbTvQ1dZ0PSexUaFoJuaTAsSCpAznFWMMQoiykueUAVwCLS0t4Jwjk+9eJ4JtWeCaBkPXq7r9yyJxkJ0BZVNAvK1i55UGMPQ6BtLPEZUIVzukNi2AnNhRRXPhhIxfXddV4puiqZHmkxr7m4u5fFuarsOxbZAQQUGfYr9/ZQCXwMUXXQTN1z7VNA0kBGzfC2aYJhzHgeO6MKppAJsxr5KTVVyMSzEQEdBEHmC5XZK/VpQlY6Vxpoyy6hD2/mq6rvq5CZGx244yfhXzhHDlQ2X+1pZK9Xc5wYu6roPBS9yVyXR6kaGcygAugXe84x1whUDMnyjCeYacc2h+DGo1C2MwM+b94tog1wHTKvAVCgcg/9M0gwE8A4xzwK+apagOsoIY/DK6iuZCSgYpz69i3qI8wM3FHL8vTdeh6XoQAjM2NlbU65rKdXPllVeCMYYLLrggeIyIcPnll6O/vx+xWAyHHnoonnnmmZzXZbNZfPzjH0d3dzcSiQSOO+44vPbaayW/f2tra440UL6bnYiqnv3OuOYnwwFkpSpyTrJl+EOTJb4UiBeS2b+qGEN1kMYTAC/cp5muF8VU49cwlPGrmBfMxyIYC445ztulqtc0jQG8atUq/OAHP8Bee+2V8/jVV1+Nb37zm7juuuuwatUq9PX14YgjjshZAVxwwQW44447cOutt+L+++/H+Pg4jjnmmMBdXiwdHR3Tdq5tWXBdt2jX+1xgZhwAQNkKhUE4XiZ/U4Q/YObtFq5piESjMCPNG8vcqJAf6w54nnbeTIohisLGr/LgK+YLKgFOUSJNYQCPj4/j5JNPxvXXX4+Ojo7gcSLCNddcg89+9rM4/vjjsccee+Cmm25CKpXCLbfcAgAYGRnBDTfcgG984xt429vehn322Qc333wznnrqKdxzzz0lteO73/sedE1DNpudUjKUiLxkoJoYwF4YRMU8wPMgAU6i9EurR1gn1lCV3poKIspRe1DGr2K+sRAk0BqWafJyin555VpSEk1hAH/0ox/F0Ucfjbe97W05j69evRoDAwM48sgjg8cikQgOOeQQPPDAAwCARx99FLZt5xzT39+PPfbYIzimENlsFqOjozk/X/ziFz3JM8ZARDlbLlzToNXIIxbEATsWyHXmfL5mkkADMHmzFdguUaEP1UEIkVMiVyW+VZ+5XstEBNd1Ydt2UCkJUMavYn6iFCCamDka0GGEEMjm69NPQ8OPgrfeeisee+wxrFq1aspzAwMDAIDe3t6cx3t7e7FmzZrgGNM0czzH8hj5+kJceeWV+OIXvzjlcUEUxMwxxmBlsxBC1PSmY5ru6wFnQdkJsDnIoZEQgJXxzmtGK9XEqhIuQZ0f96UGv+oQrhCmjKfqQESTCw2iYFFdymJDCAHhunALJIIyxmAYhgpdUcxLSClA1J+5OqAq4MAioqKT4BvajfPqq6/i/PPPx80334xodHrjrGAy2iyG0GzHXHrppRgZGQl+Xn311Zz3q7ehxSIJAPD0gOcAZScAEKAZ3k8TIPufaxocx4GVzQY/cotXUR1UiePKIyduEgKObYNzDl3XIYSAbVk5ibf5uI4Dx7ZhWxaymQysbBaO4+RMANwvE2pGIsr4VcxfVAhE0zKdU6vaNPRs9uijj2JwcBD77ruvJ9Wj67j33nvx7W9/G7quB57ffE/u4OBg8FxfXx8sy8Lw8PC0xxQiEomgtbU152cman3LTRrAE3O6YCg96p0vlqy7UV8sjDFEolGv9LHj5Mg4OY4TJGopKojyrlQN5odUyaRcwzCg6TpMv7a9M8OizvZLGLuuG4wDnHPohgEzEvESQk0Tmi8Qr1DMV4IQiLq2QlEOOWOTMoA9Dj/8cDz11FN44okngp83vOENOPnkk/HEE09g++23R19fH+6+++7gNZZl4d5778WBBx4IANh3331hGEbOMRs2bMDTTz8dHNOMMDPmrXSFG6g4lAoJAcpMAAB4LFnJ5lUdIoJw3UD/T/O9XJqmedvIoQRFxdwJhiRlRFUNIUROHoEsMU2hqnv5aJrmhUr4i0CpgKL7BUqU0atYMCgPcN2Ya4+Hd9VFDQ3ghg7mSyaT2GOPPXIeSyQS6OrqCh6/4IILsHLlSqxYsQIrVqzAypUrEY/HcdJJJwEA2tracOaZZ+JTn/oUurq60NnZiQsvvBB77rnnlKS6YrAsC47vdQTqZxgwxsDMuOcBzkyAGaXH71JmHEH4Q7MqQOTFAGu6DgLgui4Y5zVLTJz3qOTCqjJdGe9ga1AIoED4iWE2SeKqQlFlVBJccyN3wuYaAiErwhZDQxvAxXDxxRcjnU7j3HPPxfDwMPbff3/cddddSCYnPZrf+ta3oOs6TjjhBKTTaRx++OG48cYbyzKOhOvmBljX0TBg0QQoOwGRGQdPdpX8+snwh9amHDTCN0zYYJBlqmU55Gb8bI2G2l6sPowxzwuc9xhjDIIIaimnUMyAWqTXjwqoOITjgOcC57zoOgCMlG5UUYyOjqKtrQ0bBwbQ0dkJw485zWYygQZwrb2N5DpwN74EANAWbVeSF5hcG+7Gl/3XLgMzms8DLISAlc1C98MgwoaubdsQrovIDMmTiuKRaidKQmvuTJeA6/gJbZFoNGcysC0LjPNgzFEoFFPJZDIAkZfsqZJ1a4qciwEgGouVdQ45/pViwE6HtNdGRkZmzN9SV0kZFLq56uEZY5oOFvU83WJipKTXiomt3i9mrCmNX2Ay2cdxHM8zX0ASTa3vKovyAM8NqVpS6LqUC+j8CpVCiKDEt0KhmAY11jc1lfIAl4IygEuEcV54dVmnCYolPA1gSo8WrX1HJEApz2DmiY5Zjm5spPdXVrkSrgshBFzHUaEPFURVWZobshKbY9ue4kMBZQcZvuM6jidl5pcuZowp+TmFYgbynR+K5qMeUmhqL7NE9Lyt9np7GJkZ95LYXBuUHgVLtM/6GkqPeeoRmg4Wbal+I6uM3Bp2XXfSYGBMJQgpGgbXcQKjVyqXFELuaEh9X8jiFcoAVigU85gpUmg1WMgoA7hEwhNRvY1fwM94jLdBjG32VB2KMYAz4wAAHm+bN6tlwzBAup6jhaqoDOEV+Xy5XmpNuP9miuWVzwtft1f1t0IxO8oDXF+mU7Ep9RwybLFWSb/KSiiR6by/9bzpgqIYVnpWo5xI+NXfABZpfu9vGCl/oozfytIo13kzIz2+4YIXM6HUSxQKxUKj1nHAylKYA2GvTl0nKyMCMA6QmLUoBllpb3uBa97rFIpZaJjrvInhIU1qVa5boagsaodqfqAM4CaiUW46ryiGJz1C2dSMx8rKbyySqHu7Fc2BrEKmPOtzQ3qBhRANET6lUMw71JxWFypVylgm+xab0D9XyprRUqmZjayFgvySGiFDm0XiAHwP7wwE4Q/zIPlNURsa6TpvZsJhDcWEQSgUiuIInFF1bodibsUwpNzjdKXfK01ZM1pPTw9OPfVU/OlPf6pZQxsJIsrx4jSCRmfYAzydd4kcG3As73jfYFYoCiGvIZmQADTGdd7sSC+wMoAVigqiZBrrTwX6ntVYZKAsA/gnP/kJMpkM3vOe96C/vx/nn38+Vq1aVem2NSRCCGQzmaAyFtAgnjEjOhkHPI0XmLKe+gPMGBhXhVUVUyEiOLaNbCaDTDqNrF9dCWiQ67zJkXHAslS3QqGYO6pUe/2RfT8XwzWcZ1KL8bGsGe3444/HL3/5S2zcuBFXXnklnn32WRx44IHYaaed8KUvfanSbWwoZLm/MI0QS8sYC8IaRHq04DEyPpj7qhEKRRhp/DoFkrQ0X5ZLMTekUglQu20+hWLe0yD5OIq5EyTCNaoBLEkmk/jQhz6Eu+66C08++SQSiQS++MUvVqptDQvjHIZpepNZAxkGPC6rwo1NuXiIKDCAmTKAFQUQQgRb87phwIxEYEYiiESjqqhIBQkMYBUGoVBUhMDn2CBz8YJE9v0cQxeC8bFRQyAkmUwGv/jFL/Dud78br3/967FlyxZceOGFlWpbQ8IYg2ma0DQNkWgUZiMZBmbMqwpHApQZy33OSnvhEUr+TDENQaUyTYOu64GmcqMs8OYL3A+DUGoQCkWFUElwdScIgZjreWqoBFFWJbi77roLP/vZz/DrX/8amqbhfe97H/70pz/hkEMOqXT7Gg4zEmlYg4AxBhZrBY1v8dQefI8wAJBMfjOiDdt+RX2RW/LTlelVVIacYjpCgGkqHl+hmAukkuDqT4U8wGEt4HKryhVLWTPdu9/9bhx99NG46aabcPTRR89Y2nO+Ef5ybMvySpc2kBeYmVEQALIyeRePGiAUikZAhk4J14XruoFHWKFQKJqVSlkWczF4hRAlGeBlGcADAwNobW0t56XzAiFETjKcXuVVSikwMw6AAa4veabCHRRFIuuwz3UFr5gdLWQAN9L4oVA0M+ouqiPSOTjn04R2yEoYG4kosMuKDZ8oKwa4tbUVL730Ej73uc/hxBNPxODgIADgzjvvxDPPPFPOKZsK27Jy/m6kOD7GeaDxK9JjhY6obYMUTUfjXM3zF15jvUuFYj6jkuDqT9DzFRjP5iqFVuzryjKA7733Xuy55554+OGHcfvtt2N83NOX/de//oXLLrusnFM2DTIuJf+xRoLFkgCQmwjXWE1UKBY0OXJoSg1CoZgbDTYHL0gq5AEGJvXSyx0bi1WQKMsA/vSnP42vfOUruPvuu3NUEA477DA8+OCD5ZyyaQgbu3ICazgDWJY5diyQnadbrBbIimlgFUpiUBSHjP11lR6wQqGYL1Rg/tBCSjnSm+u6LqxsFq7jFLS5wo9V1QP81FNP4T3vec+UxxctWoQtW7aUc8qmQXZsWB6q4QxgrgVav5Txq78pF7CiSNSVUht4SO6n0cYQhaIZUf6d+lEpGTTAC+WU46PruhBCwLYs71/bhm1ZM46ZVY0Bbm9vx4YNG6Y8/vjjj2PJkiXlnLJpoFD540Y1gIHJMAiRHm3I9ikUC53wIlpVhVMoyiNnflMxwPWjwjuI0gvsOk6Q3BYeL9388Igy3rcsA/ikk07CJZdcgoGBATDGIITAP/7xD1x44YX4r//6r3JO2TTkeIAbNAQCkGEQzFOCcMJhEGqAUEyDCoGoOSoOWKFQzAcqbVnkV9lljMGMRKD7OvX5oRDlzFplGcBXXHEFli5diiVLlmB8fBy77bYb3vzmN+PAAw/E5z73uXJO2TTIDmeM5dSsbjQjmHENLOqFQYjUaJ1bo2gG1NKo9oSrwikUCkXTUuEdcWnwmpEIDNMMipDJQk1ENOdqcWXpABuGgZ/97Gf48pe/jMceewxCCOyzzz5YsWLFnBrTTORr02UzGTDGoOt6Q1TSytFzdSyvBLJCUQSNtZSb34QTaatd9UihUCiaibCjMfxYUEhIiMCJUI7hXbSl9slPfnLG5x966KHg929+85slN6SZCH8phmHAtm0AfnU424YrBAzDqNtkRkQQI4NeOWQw8GQXRGbCb3xZTn/FAqCRY9rnK+WKvisUCo/weKXun/rBGEMkGq3Je3HGIJCn/OCHkYU11mejaAP48ccfL+q4hXABslAHa7oOrmkgIriuC9dxIFwXWdeFYZpBIHetCIzf1FYAAG/vAzNjgCyKsQC+H0V5KBm0+iAr8KmFh0JRPgvB9mhkatn/+c4aIsrJzyqWog3gv/71r6W0b16T38HSI8w5h6ZpgUSHbVng0WhNLwzKpnKMXx73S1aTHyujPMCKaVAe4PqgDGCFonzUfbPwyBcgCOdQsBIMYGUNlYhhGDN6dTnnMCOR4O9a35w0MQQAYIkO8Hhb6Ak/ea+Ei0OxsGB58aiK2qAWHgpFBVAe4AVDeLcyx/tb4o67soZKRNP1WT269SpzSnYWlE0BAHiiI+9J6QFWg4RidpQxVjuUAaxQlE+gzFTndihqB2NsUnUiVC1OK9HBpwzgKlEPeSMx7nt/o0kw3ch9Uk6uKgRCMQ050n7KGKsZKvZaoZgDwdymTOCFBJdFMUJyaKXucDe8NbRu3Tqccsop6OrqQjwex957741HH300eJ6IcPnll6O/vx+xWAyHHnoonnnmmZxzZLNZfPzjH0d3dzcSiQSOO+44vPbaa1Vtd+AB9jWCq20IE1FQ9pgn2gs8r2KAFbOjDODao/pcoSgfedco87fxqeQYV2iXvdR8q4a2hoaHh3HQQQfBMAz88Y9/xL///W984xvfQHt7e3DM1VdfjW9+85u47rrrsGrVKvT19eGII47A2NhYcMwFF1yAO+64A7feeivuv/9+jI+P45hjjplaSq+ChL+IbCYDK5ut6vuBxGSYg1FAikSFQCiKIIgDVoUZakfIAFZGsEJRIsoD3DBIZ5/runAcB45tez+OAyFERQUBWMjJCBTWDJ71HNTAI+6nP/1p/OMf/8B9991X8HkiQn9/Py644AJccsklADxvb29vL7761a/i7LPPxsjICBYtWoSf/vSn+MAHPgAAWL9+Pbbddlv84Q9/wFFHHVVUW0ZHR9HW1oaRkRG0trYW9RrLsnJWJ1zTYJpmUa8tFbIzcDetAbgGvW/HKc87g6sBxwLv2hY8Eq9KGxTNjxy08pM5FdWDiJDNZAAAkRqrxigUzY5tWXBdF7quQzeM2V+gqBqO4wQliguNY/osIgKlQEIgm80Gf0v7SgiBrcPD6OruntVea2gP8G9/+1u84Q1vwPvf/3709PRgn332wfXXXx88v3r1agwMDODII48MHotEIjjkkEPwwAMPAAAeffRR2Ladc0x/fz/22GOP4JhCZLNZjI6O5vyUSv4XXU2vGgnf0J4uxEGuc0TtkvIWElIHuuqe/iqjtuNrT34xDIVCUTykPMANgSudJ5oWlDAOlzJmnMOx7cqNcXnft4wJ5pwXvRBqaAP45Zdfxve+9z2sWLECf/rTn3DOOefgvPPOw09+8hMAwMDAAACgt7c353W9vb3BcwMDAzBNEx0dHdMeU4grr7wSbW1twc+2225bcvs1Tcvx6FSzKAaTYQ+uDZEem/p8tAUAICaGq9aGhYrUfLYtC0II2JYFx3Hq3ayy4Go7vi6ohYdCMTeU+VtfHMeBruswDAOc8yAkQapiGYZR0XmFMZaT9FZKAYzgNRVpSZUQQuD1r389Vq5ciX322Qdnn302PvzhD+N73/teznH5rvZiSorOdsyll16KkZGR4OfVV18t+3PIL7xUjbpSYFwDi7cDAMTw+ilGMG/xFwBWGmSlq9aOhYgIybDIm9Cx7eb0BIfvCWWM1QxlACsU5RHcMcoDXH9m+A6IyHu+kmNcuAz2fDOAFy9ejN122y3nsV133RVr164FAPT19QHAFE/u4OBg4BXu6+uDZVkYHh6e9phCRCIRtLa25vzMlWrH9vG2HrCY104xuin3vTVj8jlfLk1RGaShq+l6Tvlrtwm9wOFEAqGMsZqhDGCFokzUPdMQcE2D6zhwXTfw9EqNXtd1vcq4eV7buaLrXjFj6XEuuc0Va0kVOOigg/D888/nPPbCCy9gu+22AwAsX74cfX19uPvuu4PnLcvCvffeiwMPPBAAsO+++8IwjJxjNmzYgKeffjo4ppqEJ7RqG8CMMfDWRd4frj0pfebDWzq9NmXGQY5V1bYsFIgoSHTU/JtQ82/KsGe4mVDGWO1RWsAKhaKZ0XUdjHPYlgXLDwm0pQqEbYMxBt0wKmoHcU2DYZowyhQX0CvWkirwiU98AgceeCBWrlyJE044AY888gh+8IMf4Ac/+AEAb9K44IILsHLlSqxYsQIrVqzAypUrEY/HcdJJJwEA2tracOaZZ+JTn/oUurq60NnZiQsvvBB77rkn3va2t1X9M5Qr0Fw2XJvcZnAdQJ+8MJgRAYskQNkJiPFhaO3Te8AVxUEFapBzzsE591a+jgNeJeWPaqEM4Dqg+lyhKItAB1iFQNQVxligwuC6brCYl7G65XppZ3vPueRWNbQB/MY3vhF33HEHLr30UnzpS1/C8uXLcc011+Dkk08Ojrn44ouRTqdx7rnnYnh4GPvvvz/uuusuJJPJ4Jhvfetb0HUdJ5xwAtLpNA4//HDceOONVU1Kk1DoIqgFjDFAMwEnC3IsMD3X+GItHaDsBCg9Akp2gWkNfQk0PDL8gWtaznes6TqEL8+jCVFWgH69YJwDrqu0gGuIWnQoFGWi7pmGQjqAmoGG1gFuJMrRAQbqo1HoDq0DZcbB23rAE7nqF0QEd/MawM6Ct/ZMJscpyiKbyYCIcmJ/gUllCCEEwBgikUjTeChkvBZjDJFogaIqioojhIDla1pGY7E6t0ahaA6UhraiEMXaa81hpjcxosYeYACA5hna5NhTnmKMgUVa/OezU55XFE9Y0iV/xcsY87QP/XAU22qemGv5WZQUWu1QWsAKhUJRW5QBXGWCEIgabgkw3fc0u1MN4JznCxjIiuIJQgSmKcEojWCgeRPilDFWe1SfKxTFUcskc0VxBAoQdRzHeJHXgjKAqwgR5QSC1wzpAZ7WAPaMMqUEMTekd3+mm41zHug/N0txjLAUmjLGakNOHXvV5wpFcdRjflVMiwxJkaGB9cBxnKLzu5QBXEWkPBabxkNYNXzDl/FpEtz0iPevcEBucxhlDUmRg6/UKhS+PmIzoAzg+qF6XKEoElW5sqFohIWI1CIuBmUAV5GgOlgN1CbCkO3H9hqRgs8zzgMjWFWFK59ih9vwAqhpqsM1wECmUCgUM6Fi5xX5EFHRRZyUAVxF8svj1gppALNpDGAAYKaX3a8M4DlQpAc4rFUomsQADj6RmlRqhwqBUChKgjEWzK/NMrYqqgtjDFqRNpcygKsECTGtQkBV35cIcKQBPL2EFTM9qSWyMzVp13yklBr0chdAhK6LZqB5Wtr8KJ/7/EXK3GUzmUAas5nGgUZGjq1Ns7u2QKjXeGYYRtE2l6qCUCWk97fm8b921vMgMRYkwxVCGsCwvGD1RojdaTpKmMDyt+oavr+VN7JuqB6fPwjXheO6Od5J13UDY03TtIqXh11oaJoGx7a9re8mKzo0r6nTNc01DXaRCefqSikDIQQcx5lxBV+P+F8igjsyAABgkcTMg6pmAIwDIBUGUSallOBstq06+YmUMVZDlBE0byAiWJYFy7KC+51zDsMwoIWqRrqui2wm0xRjQqPSbGOronFQBnCJyK0sx7Zn3HKpR/wvjQ95HmCugbf1zngsYwws5pWLpomtZb+n67reIN+EGrdzpkTvaDgMouFRHuCao+Ku5wdyjhAhL68ZicCMRKDpOgzTRCQahSkL5QCw/LAIRXmoMIjGoNnCepQBXCLhil6ObRc0ZmaqEFYpyLGnSJixRAdYvA28rRdMmz26hSfavXNlxqbVDJ4JWTJXuC6sbHbBDT5UZBKcJPBSNEEcsPJFKhTFI7ffbduGlc0GYU6macIwzYLzAPcNY/mcbVme4dwMC+QGQyYZKzk0RSkoA7hE8iu7OfZUw7Ha8b9kZeAOroa78WWIieGcNmntfeC+Z3c2mBEF/FhgMTFSUhuEEFPK+9qWpQafGQhfCw0/yUl9zTo3YyGi+rzxISLPAWDbsCwL2WzWcwL4sYecc8+4nSUETlaLDO8OqXG0dMJzbcOPrYqGQRnApcIYzEgEhuElmBXy5pXqGSwVMbYJ3jRJECODoMx42ecKvMCprSUNuuGBPhKNNp/O7RwppwQnY6y5wiAAtR1fS1TYSVPg+jtetmXBdRwv1CG042cYBoxQeMNsSE+xGYkAjIGICjpWFDPDQjtsivoQjsFuhsROZQCXSMTfsprpy2WMgYVK4FabYsIdpn1tNOlNvMIFyiiNzPy+aDad23rBlZGjmI0mmDgWIkQE27JyPLSapkEPx/X6cb7lTP7SeAY8I5uUIVcScg5yZ0lQV1QHx3Fg+wu3YksR1xtlAJdIMQObpmmIRCJBCdyKtyHSMvl7tGVS0mwGiAjkWKA8I5cxNqkJnE0V3wZ/tU15ahfNEN9aCcrxAOe8vpKNUcwPFsB906xIVYewfFkkGoVhmtDzlB3mgqZpQUywU6SUk8Ij7JhSfVd75K6wlPZrBpQB3ISwaCL4nbcuKvJVBJEahRjdPMVAZWbcO8IqwQAO1WAHcgcf5QWeAeXdU8yCukIaC+n5lYt9mdhWrS1e6ThRxTJKgzEWGF6q72pLOPmw3B2QeqAM4CaE6SZ45xJoXduC6WbwePgilL9PxiNz8FgS5GRB2Ync80WkAZwuetAIG8CBEbyApGjmHOfd4INzcwxf84tSKgsqagcJEcSVmqGEtWrBNW3GJGvF9ARqG0oNorbMcUe0XigDuEnh0ZbAcJXQ+BZQZgzAZFYsYwxEAiIzDjG2BXCsqaEORrTkOOBCF7m2wMIgyqF5hgZFzVH3TEMiQrtctcrrUF7g8ggnGi8ER0yjIEIOoWYygFUp5DKZawxo2e9rZ0GO5cX+5r0vORZgZYBYq3dcZgwiPQ44WYBxMCMKnuyeYjjLOGDKpkDZFJgRmbUdjDFEotHg9+A8fhaz6zhNEwdUDmV7gJW8mGIWmmf6WBjUo6iRDCmTihCGac7+IgUAzxEj/PLT1ETb8c2MDA9iTVaGWhnA5VIBqTMpll7ssWJss1ftDYDWvTTQ8JXweDvcLa/CGXjR8+ZqBlgkDpbsBNMjgKZ7hnCB92Rm3DOArTSAjqLalH8exhh0XYdt23Acp6ligcpmnoZAKGqPCoFoTOoxuTPGYBhGkHinCVFTA7yZkf0kw/Pm/RzUAARhkE3W18oALpNyzJfcmNzStgpoYjgwfgGvEly++gOLxAHGwKIt4LFWQDcBzsFYEQOnEfXPmy26TYXgmgb4cWvCdaFVSQmj7sjvsc7NUMwj1KKo4ahFVc/p4L4ihBACjm17OsGKWZFhEMJ14ToOuPKeVx2hPMALi2K2wGW1IOG6ueLcjIEzBk3XZ9UUDs5lpXMfENPIvOgRAGxKmMN07QvCF2TYg2OBSBRnNBdAeoEdx/E8F/PUAA5CYEpc8SqDWTEb6hppHMJavPXwJOqGEZRHVt7M4pFhEK7rQlf9VlXyHXvNRHOZ641EEQaQ6zieNp4vz2L41X6k2Llj20VXrSHb98z6qg8kCgf480Q7QLmJE+RYEOkxuKOb4Q5vgJjYChJu7sXKNe8HAOzSC2LktGEBJcOVfLvnyccpFJJyF1WK6iHq5P2VKHnJ8gj3m0qGqzJNqgABKA/wnJnu63b91aemaYEXNHxxaJrmrez9Y2aCiADXl8PxjdTpPLQslgQzY14ChZWGGB/yZM8IgG6C6QbE2Gaw9Bh4W0/g+WWMgekRkJUC2RkwM1p8J+S3IfQ556vXomxjpUlWynLSaPR2KhTzHc65UoMoEVmd1PGdUJUqVKKYSviqbLY+VgZwlSAhcoS5C8EYKy6WWBq/YIDrhz5Ma6AyMN30ZM9GNnqawe2LvWQ4rnmDqGNBjG2GGB+C1rF48qVmFPAN4LkgS0GTEHBdd14mb8jvrdTbvRm8fDJ0B0DVqhkqcqmXqoxiZuTY1QghCMr8LQ3ND8UjIgghmqY8b7PRSA6vUheJanarEoxzkL9qz79AAN9DLEQQDjETJA1gTQ+MYaYXTohgjIFcB2Jsiyd71t4H5nuNg7YYEbBoi6cLHH6tGQOhQLzxTG3zBxcZ55x/AbqOU9RnbDrKNGQDw7mBjRxZ0pJx3nRJDQpFJWmIyb2Bx4pGhvl5Nm7IC6yYPwghQEKAMFmDIJvNAr5NUgzKAK4SMgbJyma9LydcOc03FMN132fEyasGxNhkvG4hhAsIF7yjP/D65qtOUHbCM3hzEuF8r7Ljlf0sxvhx/WQ3MOZ9Zs7B4MXOSUNKzEMJn3IN2SBZoMLtqSSuP3iobUPFQiesbU5CAPUcx1QIRMlomgbXcRrCg78gIKrJgo2IYGUnFauCBY5/j9hWcXlM88sqaSCkjiPnHK4QwSpU+MaibhgwDKM4BQjpASZ/VaPPXIeeGRFAOF5hDITKFrsORGYc7tA6UHrMixcOnYdpuudlBooKg3BdF44fw2yaJnTDgK7r4JqW4/WVhvC8oszJqNGzZYOJHvVL/FmIqBCIxiUcBlEP1NVQPioZrvrkONZq9J45CaGyYEzIzig2FEJ5gKsI4xyGaU5q5JVbJjBv4GXa7CEFLNYKMbrJ8/T68bhwbZDrgHEO3rkNeDQx9XVGFOSOA3YGmEVKTfjxvflxzvIzaprmycDVaeKoFnMyVpogBliiDDGFwlO1kSFr9ZDUUn7fuaHpOhzb9qqTqpyGqiB3SWq12yvVWTRNg24YQegDgJIq0Da0i8dxHHzuc5/D8uXLEYvFsP322+NLX/pSjkFFRLj88svR39+PWCyGQw89FM8880zOebLZLD7+8Y+ju7sbiUQCxx13HF577bWafAYi8mrIF6n3OyPycxeh0ctbe8ATbaBsCiIz4ZdDZuCxVu+5aKLgKkmGQRTjAQ62BqdZbams5amUmzxXD5QBrFCEdkJKiC2sKA2+a9ToyPhQqtf3twAIS5/WgnB1RsYYTNOEpuuIRKMl3ScNbQB/9atfxfe//31cd911ePbZZ3H11Vfja1/7Gq699trgmKuvvhrf/OY3cd1112HVqlXo6+vDEUccgbGxseCYCy64AHfccQduvfVW3H///RgfH8cxxxxTky2Ryg5a0ns4+9fGOAdPdEDvWQatsx+8fTG0jn7wlo4c6bMp+M8FusMzwP2YG9uyglhg13XhOA5sywpuBmUIh2giD7Cihigjp2GRyVQAcrZZa0UzKMc0MszPTwFUGES10GSYUI3k+vJDCTnnQUippmmIxmIzvTygofcDHnzwQbzrXe/C0UcfDQBYtmwZfv7zn+Of//wnAK8TrrnmGnz2s5/F8ccfDwC46aab0Nvbi1tuuQVnn302RkZGcMMNN+CnP/0p3va2twEAbr75Zmy77ba45557cNRRR9Xnw82FErYYiCgnZGK2RIBSEuHkRWc7zpSJIZyBO99Q8ZqKSqOWiI2N7o9lJETNk3obPW+gGdA0LVArIl1XfVlhwnYCCQFWRcWNnPLkc/weG9oDfPDBB+PPf/4zXnjhBQDAk08+ifvvvx/vfOc7AQCrV6/GwMAAjjzyyOA1kUgEhxxyCB544AEAwKOPPgrbtnOO6e/vxx577BEcU4hsNovR0dGcn3JwHAeWZVV05VnKzZt/7GyvZZo+qTDhFOcFjvjV7XKq3ZlmTrzVvPQCl3HzNYMMmkKhyIUxFmzzOrZd0/FMGcBzh4fCIOblXFRnwl72aodB5Hx/c7wnGtoDfMkll2BkZAS77LJLkFB1xRVX4MQTTwQADAwMAAB6e3tzXtfb24s1a9YEx5imiY6OjinHyNcX4sorr8QXv/jFOX8GqY87J49BvuQZr+7XxowoKDsBsrNgZnFbCbyIanbzZQBvBimzSjCfvrOGRxk5DY+u67BqXJFN7TZVBrmAEa4L13HATbPeTZp3MM6BArUAqvqe89kDfNttt+Hmm2/GLbfcgsceeww33XQTvv71r+Omm27KOS6/E4qZuGc75tJLL8XIyEjw8+qrr5b1GSqxes8vSxyEKVQL3RscpIzaXJBbIzQfkw/K+E7lK5QXQhFGxXk2PtxX9TEjEWWMNiEyGU6Vla4Ogdxqlfu2UGGxcmloD/BFF12ET3/60/jgBz8IANhzzz2xZs0aXHnllTjttNPQ19cHwPPyLl48WdJ3cHAw8Ar39fXBsiwMDw/neIEHBwdx4IEHTvvekUgEkUjhamulUBkDOM8La8y9XTO+n256W/UVMIA5Y3Axvwy+OXmAGfO8ffOoPxRzR21zN8eOQzHVxCr5OZQHuHKEd2FVaeTKUysDuJI0tAc4lUpNCR2QwewAsHz5cvT19eHuu+8OnrcsC/fee29g3O67774wDCPnmA0bNuDpp5+e0QCuBJUavFheCEQp5yLXhju6Ce7IxuLfsEQPMBEFoR75yLaKJropZmUOxkrgAa5gcxTNT6WSOpoVIgFKjcAdGYTIjNe7OWVBRAVVcOZ6TkAZv5UgrOYxH5Oz643yAFeYY489FldccQWWLl2K3XffHY8//ji++c1v4owzzgDgdcQFF1yAlStXYsWKFVixYgVWrlyJeDyOk046CQDQ1taGM888E5/61KfQ1dWFzs5OXHjhhdhzzz0DVYhqUdHVuxEB7CxQaviDEKDxIQAMlOyeYkwXgvkGMFwbRAJsFtk111eB0DRtSmzVfAyBmNN2tXzNfFoQKOZEWJ+0mPLj8xLhglwHEC7E0DpQLAne1lvUeNUo2JaV4/21slkYhhEYXeVAC/26qDA5pZFnUTlSlEa+YVrNRdtsNQiKpaEN4GuvvRaf//znce6552JwcBD9/f04++yz8YUvfCE45uKLL0Y6nca5556L4eFh7L///rjrrruQTCaDY771rW9B13WccMIJSKfTOPzww3HjjTdWfQukkqt3rXMJxPgQeEtnaS/UTe/HsUCZcbB42+yv4drkVr1jzxpyMdPKL/xcM2xxFsNcilk0+jZRo7ZrPhP2FM6H+6McmGaAJ7sAIriZcS/PwV94N8O4IT2+hmkG84pt23BdF1zTym6/vDYW6s5ApeGcB5VRXdeFrgzgipFjAFdZCi2wT+Z6GlIzXlGMjo6ira0NIyMjaG1thWPbgdfTmCaj1HVd2JYFxhgi0Sonrs2AGNsCMbYZLBKH1rVtUa9xBlcDjgXeuQQ82jLz+V0X1jSfk4iQzXhV5Uqt0tKoWNmsN9mV4d1xHQe2bYNxXpEY80rTKNfsQoGIYGWzICJoug6jhDKe8wlp5Ir0GMTWDdC6l+Yk+5LrgDLjIMcCiybAI1PLuNcLOf4ZhpFj7Mp7vdxxLzx2mpFITbWH5zOO48CxbTXGVQHLsiBcF7qul1SSuFSymQyIKGfBGSbfXpsOdUfVgjobfSzmecMpmwKJ4vSIw2EQsx6b5+Ut9Jx8fj4wlxCIcEhII/ZH4HFSk21NCF8H+hy2yucLYmIYLJIAwsV7sim4Q+sgxrYAwoEY3gB3eEPD3D+2bXvl7vM8vYJoTlvsQVgMY/PCcdAoqNLI1aPWWsDzWgat6WkQvVgmwyDgTSZF4U9A5MxuAGMWI7fRt/1LZS43X6NPZCrmsLbI5FDu17RfiEjvL7kOYKXBYq055d7dkUEwTYfWuQRaRz+0jn6QlQZlJ+rYag9Z+jV/JyiIMc0zXospFSsNM5moNZcQCsVUcoo2qNLIFSVsADfDfK9muSrSSF+/lFIjK13c8brvgSnSA1xsHHCzk5PYWMbrw33lui5s224oL0RgkKkJtyaoBcckYmIroBlgxmTIgEiPAU4WPNkd6KGzSBwABTKN9RxXCJP3dHicE64LQZSzPUtEsCwL2UwmSJjLRwgB27KCMCsA0NS1UXG40gSuCjmLvSrNa7OJCxARMuni7Bx1Z9WCBjAmvEmjeAO4JA8wik+Em1eU+b1KY8exbS9OcJrJsNYIISZ3LdSkWxMWkswVCRciPTZFESYYH1IjYNEWIFy2NjUCFkmAGZGgr8h1vETdBug7mY0eRrguXNeFxvmU+MTw4tfy73sSAlY2i0w6nWP4cs6h67q6F6tAThiE8gJXjLB3vRpzGhHBsWe2SRhjiMaKq2Crgs7KRDeMqgZ5V5ogocTOFpVVzbRJD3BRx89k5M4j6a9KSNtpfknO8DldP3Ggnrh+m9SWa+0Iyoc20C5AtaD0GMTIRsCIQl+0nW/gbvXCHbgGCBc8lpyUXSQBslLg7Ytzz2NnAbCgRHw9VSLkhG/bNnRd90IXXNczXvPmB5l0JRNNSYggyS3nOM69hDpl+FYNxhh0Xfc0m21bjXmVpErzvbxvJLphzPk7UwbwQkEzvImGhKcnbM6S/SpDIEh4P2xmSRPGOTDNdtJ88gBXwmOnaRpgGIDvPXJsG45tQ6vjICyN8KB9ippQzr1BRHAcB67rgsG79zhj3r9+LLH0bLnTGNdSDio/9ria1x/5BS5yVGWEgBgblO/ueXelQeuHODBfhjHoK8vLY5BhXfX2ABumCdu/h+EbVjPdy5qmgUUiOTs/8jwq4a12aLoehEA4tj2tmpOiNKp19cr5SS5eeAXmKWUALxAYY2BGFGSlQHYmiKeb/vhJrwwcGzBnMYDl5DRDNbjmN39RsW1XmTRDRHAdp+AgXC3PViEjnkLhD8rzVDvyk0Zm+76FELAsK/iuCAC5LsJ3XTFGteu6wAxbv9KzqWlaRSYaIgLZnrdThmMxxsCSXeDJLlA2BTExDDG8HswvggEigGsgxw5UacjOAlYGzIgEhnG9YYzBNM2SFsecc5iRSE4SnTJ8awtjDLphwLYsz2vvumrxX0EqPd9L20I3jILfExHBtm2gBHUPZQAvJMwo4BvARaEZfoUmGwyzGcwzxADLX+aBBzgsTVQJ8gdhWBY453D90tK6YVQ0NEJuI3HOA4+TfBxAXb3Q8xXpXWfAFLWAfIWAmbZic7YAGYOh694ughAQfixpvhShpuuTXt6Q0SyECJQKZmqz3M4PXytl4dreYhooWFiHReLQInHvM9gZMK6BzBigGd6iPRL3JNBGB0EgaLHWoJ3B2OPYcIfXgyfawcKhFDWi1P4Jl+ZV1AdN0yA0Lbi3hH+/LGRVljlTpX6bbYEpXDcILbSy2aLOqe6+BQQzop7HKDNeVBlIphuesVyCFjBQwHM5j6rBURW8pJqmgfx4NGl0SKRg+1w9E3J1LAcIIQQcx4FhGEHcIoCKePsUucjrnojA865/+d1KRRA4DrSQpqxMkgqHMjDGYEYik+fJUxqQ3uTZtuHl8fltBTxvi7wupCTXXHIegkW3EZnRMGWcg0XiwTjBEx0QIxvhpkb9xDcXWueSIKchZwExvgWwMxBbB4DRTeCJDrBEe1OVU1bUHt0fA+VunIvcbfZmnq/qSgUdXsXk3rhl5FEoA3gB4WVYG15i28QwWLJr5hdwf5u+yOIZAUQ5q8Ba1givNnMpgjET0hMkB2LOefC7bVlgZVaCkrGgdjhz1vcGuo7jeZul3qjv+VBUFs55cN0XuvalYem6rve95C2CwmiaNmPyR6mLpfzzBH9zDg0A8ytezlXSiCw//MEoLjtbtoPHkuCxJIQfP8zMmOcdLjCO8NZFIM2ASG0FXAdibDMwPgSW6PC8wpqa7hRTkQtKxw9Fk2Eptm2D+Qs/FRpRPPXK+ZHvW4p9oUaEBQRjDDzZBbF1AGJ8aFbvCOOaF8dThAGcY+QiNxBexhPKbdf5YGRV2oSXoRBhpG6olEkqtRxqvtdXJtpwzoOSlZXOqlUUZqYJVH4vuu+9FSEDmMnkNn+7vNbfT6kxytMRxP/Olnw7XTvyyrEXagfjGliyC6ylE5QehRgfAhwLNL4F7vgQWLwVPNk1qXCjUPgwxoIy5NITLA1i27KAaUruzoTrOCAsvLCyahjAxXiAy3lfZQDPkZlK/zYiLNYKyIlhYuvMXmBpHLtOceeWW7aF4oB9uadGKvpQDtXyABdCJtdYWU+6rhQj2PXlfSS6rucYUIZhwGEs8P7qfuybon5I762madAbQOMWyNWDLtcAJiJAGsBGeQZwKTDGwOJtYLFWUGbcM4TtDCg1Ajc9Bt7aDRZvr3vfKhoT6YzQdN2LC/aLk5SyCxcef4Xrzj2Gvomoige4iPGwnP5VM16ZuI6DbCZT8EcaFY0IYwy8pRMAIFIjM1+kUmez2BCIGfT/wqUnG6XwQ6lUQgO4VPLjPcNC+dPhhkIe5OvzvbvS4xGJRmGYpkrGaTAaRQ5LeqCBOVR2crJ+WBQPSrLXAsYYeCwJrXsptK5tASMKkIAYGYQY3dSUY5CidgTSdCWWTRZC5DgfpHLLQrne8kMeK0ExZwm/b7HzmTKAyyAQz/azo81IBGYkEmwv237cXKPCoknPWHVtb3Ka7jjpAS7SAJaXX6GLlXMeXJThKkhNRZ3am28Ez7SAIN9bAXhbb7N5jKXXsRGMLUVjMlcVl8n432hJ1xkReaEMwxsgtm4sPRfBhzHmqUx0LwVvXeSde2IYND5U1vkUC4dwTH0xSVaBFBcmpe6AyaTShUBVDOASPcC8yHFGuX3KQGZEF5Kn0jQNzHHgOk7DetUY52BmHJSdAGVT025LBpduBYwj6XHknAdVkOSWfrMYX24oC7/WbZZGcDaTCQohGHkxwyLP86tiehVzRYQm7nIVQgIFiBLif8mxIF5+HDS2efJBzQDr6ANr7wNr7S5Z5owxBtbSCTDmeYHHNgNGZEp8sUIRRuMcDhDIDM40prquG6i1GIbhxe/7lT+FEAsmmU6GQ1bKaSSdNLMZwDmKOkWgPMBlILP0p0NmfTcyUoyesqnpDyo13rWI46RX0js9BfGtzcBcDYG5IrfkAExJ0shmMjle9YUUc6aoHpVQCAl7gIs7Pg332fs945dxINHuhS+4NmjzqxAvroL71F8hNvzHqxxXIjzRARZvAwCI4Q0gx5rlFYqFDAtpAs8UBiGE8KoBwk8o9u8Xed8shHLn+VRqZpfG7WxjkG4Y4EUcFxxficYtNJifPMSnKZ3oOk7DGx/M9A1gKz39qpbkDVvZzyK3hvKTuxq5z6Q8DuB5BOpFWLhdllDOf155fhWVIKwPXW4xFhIiCLMqVgFCrH0GsNJAJA5th329ZDYi0NgW0PAG0NYBT+93/QvA4BrwbXYB61xS0jXP23rg2lnAzsAdWg9t0dKaF85QNA9c0zyNYCEQdn/IYjIEBGMx8ysoBq+tkJJKMzFTQny139cwjKLLWisDuAwMw/BkpDKZnIoxYRF60zQbO+bHiHjeFRIgKx14hHOpXiZ6sxnBOQlwdVZLkAaujDOX4Q6qepGikjhh72+5ux4y/IFrga74TIiRQdDIRgAM2g5vAIslAfjhC63dQGs3aNvdQFsHPAM4m4J45Umw4Q3g27++6KIXjHFonf1wN60BnCzE6CZobb3lfUbFvEfjHC4QaARLAy+/4hjjHGbe7tt80sEvmhkS4qv/1sWHKKolbxlwTUMkEgHXtJySoUTkPReNNnxFLcZYMLlQerTwQdKAr5JnJCdJIJQ80JCEgvDrPYBJg9c0TRiGATMSUYlsioriOk6w4zGnCnB+FUlmFLe4peEN3vHd2wbjUz6Ma+CdS6Dt9hbw/p0BxkEjg6Atr5XUNqYZ4O2Lvfed2FpWOIViYRAOg5BJyOHdN845dF2fYvwCuUoqCyUMYqaE+EZCGcBlwjgPjI9INIpINOopQVR5+1mkR+GODFZka4HHWgEAlB4reGOGy5cWRRltChvBYoYKWPWmEW9krml1KY6gmN84IQ3TYuLuZsRfPBc9XsmxpohLmnENfPGOYL3LvfdIjZTcPB5NePHFACgzVvLrFQuDcP6F1AWWc5XpK0HNGHpWQ/34hqCOHuBSUAZwEyHGtnhJGxPDoHQFBmsz5pVGJgHyS42GISsNoPri9WGJNKkQ0XA0SGEChaJayIRKJ2T8zsX7C2CymE6xUopSkSE9dTya9jVyIZ+aZidrFrjvaRZlvl6xMJBeXiA3IbqU3d6FMnvM9XMG4aRVtgWUAdwkiNSIJ9vjU8hgLRUvDEJOHrlFMbzkFS87mpmx0s5bRlv0kCfT8qvvNBKVlIRTKBoN4csShpPeKpFMWbKWuG8AlzK+sUS790tqtCytYDkGws4oRQjFjGi67pUt92VQ86Uop6OWFUQbApkXVeLLZGhJNpOBbVmwLAtWNhsoHk33GuG6gdRcKbaDMoDLJJzwVpP38yeEQL0hO1GZMIi4bwBbKdD40OQ5ZfiDpoNp1c+VlGV/g+SCRiuUIT3AdW6GQlFJpKZ0IEfo34cVUxIJGcBF3c/SA+xYxRujZsyvMEfAxNaSm8g0HSyS8JqpvMCKGZByXKUsEOtRQbRhKHEOd2wbrusGCwxN0wBfdcsKhZ1IXMeBbVmwbdv7sSzYlgW9SK+8MoDLxPUnjXwZqmpAJAK9Xpbs8iYVEp5U0Bxhugne2gMAEGObIUY2esa9NLhLCH+Y6yqX+fHAjDEgL8mg3jSQKa5QVARp/DqhylUyubdihFUZijBomaZ7Bi0AGhks7j0yY8G5y90ZCzzP1gy66AqFoijKNfNzjF9/kWEYhrfYgGcgSw+v1MIHEByrGwY0XS96vlYGcBNA6THP4NV0MDMWGKWV2q5jiXbwZLd3ztQI3M1rQBPD3nO+YPysbQxp/s1llcsYmxJn1Qg0S1arQlEMcqtRFrrQ/a3dSnuovDLEvnd1OrWZPHj3Uu/4dc8FKhKFINeB2LIO7nMPeA9EW8A6FpfVTjmWMr04/VCFoljCykGNNKdVE5anfVwMQoiC44/0upuRSOANlot37j8uvcXSO19sMr0ygBscIoLwjVEeb/cuEH+QrpgBzBh4sgu8vc97wPaF6xPtweRVTDvD55tTe/hk5nijhEEsNBkbxfxFJru5IZmzahZPYTLMqkjvLOtdDkQSgJ2FWPfClOcpMw539eNwn7wb4pUnAOGCJbug7XxA2Qas9PzKEDOFopKEi2EsBMJGv1xkF/sa6eUtNPdrmpZjKPM5jlmqEEajY2d9g5QFyR5MNz1PZIUTNni8zdPUTI965UILFscoTJAVW4FiDI0oHB4udqJQNCvS+JX3q2GaOVWrqkGwiPbjemczUhnXwJfuAfGfh0GbXoGIJoBIHLRxtadZHh73zBhYZz94/05lV3Ij4U4u+ksY8xSKYmGcA667YBwocifXtm04jlOUXKfUt5dxvJque1VXfcNY5l0Fxi/nXggEY1MKkhWLMoAbnMAzEU0EGdWswh7gMDyWBKYRoJ8JeWNXokqaFA4nKYNS58prsk2SRjHKFYpSyDd+TdOsScEexjUwM+4l2mYmwFpm99Ly1m5Q5xLQ0DqIV5+Zes62XvDFOwLxtjnfi1LuEZpRk4RfxcJjIZZD5poG+PkFwnUDqdMZX+NX0pO5CQ4mnWquEGBAoMccGNi2HRQqkb1a7KJe3e0NDlmeGkOOFJnuS6+4dsPcTIEHuEJt4Yx5pSfzaq/Xi3AfCyGq7jVTKCqN68sEAd4kUstqlSyaAFkpiPSIF1pVxDjBl+0FSrRDbHgRcG2wRduBdy0BInEwbY76xD5EBDE+5LVReX8VVSLnevfVVuY7jDFoug7XceAWaQADfpEx04Tuy5u5QoAA6L7mslxMyONcx5kif1Zs7yoDuNEh/0vNyab2E0N4Y1QBy0mAq5C3NtgyaqCQA3kzO7ZdkVAPhaKWhBPear2AY7FWYGwLYGdB6dGikmsZ42A9y8C6lwIkquKdFWObPTUdxsATHRU/v0IB5O0gYuHJaZYzV0oDWsP0u64ybCKf0dEiE25LblUF+fvf/45jjz0W/f39YIzh17/+dc7zRITLL78c/f39iMViOPTQQ/HMM7nbYdlsFh//+MfR3d2NRCKB4447Dq+9llsTfnh4GKeeeira2trQ1taGU089FVu3bq3yp5sZIgGy0rMaeCQN4PAN5PjxasWWKK4y1dA5zN8yagSkOgURNUTJ5kZKElQ0NuH7qFhPTCVhmg7e0um1ZXQTyC0uMQbwFsNVMX4z4yDf+8vb+xpmPFXMUxaYw0QWqADm7hirlrOprgbwxMQEXve61+G6664r+PzVV1+Nb37zm7juuuuwatUq9PX14YgjjsDY2GQZ4AsuuAB33HEHbr31Vtx///0YHx/HMccck2OgnHTSSXjiiSdw55134s4778QTTzyBU089teqfbyZofBju5rUQo7NoXQbaupNfFfkJG2iQATssf1ZJAzjIIm0AYxPIXW06tl1X41NW7spmMgsms1hRPnIiqufOBWvpBPQIIFyI0cG63j+UTUEMrffaFW8Hl9XgFIoqEdx1C8RpkbPoLmHHSYYz1GJ8qGsIxDve8Q684x3vKPgcEeGaa67BZz/7WRx//PEAgJtuugm9vb245ZZbcPbZZ2NkZAQ33HADfvrTn+Jtb3sbAODmm2/Gtttui3vuuQdHHXUUnn32Wdx555146KGHsP/++wMArr/+ehxwwAF4/vnnsfPOO9fmw+Yhpc1oYiuoddH0GczBRRDyAMuM5RKKVFSTsAJEJdF0PdAq1evgtSqEpmle5qnvBa5Hu4TrwrImEyCtbBZmJFLx/lfMHyodolQOjDFo7b1wN68FpccgNANa66Kat4McC+7QOgAEFkmAt/XUvA2KhcvCMH8nQ640TStp0e04DoQ/txYKb6gkjWFVFGD16tUYGBjAkUceGTwWiURwyCGH4IEHHsDZZ5+NRx99FLZt5xzT39+PPfbYAw888ACOOuooPPjgg2hrawuMXwB405vehLa2NjzwwAPTGsDZbBbZbDb4e2RkBMBkbInrunB9IebpjKCZjhFChxgbATiHtnXrtFt8btYFXAKfSIFZnhfHzTggx4GWzoLZ9b+d5AWraVpFt1eJCNlsFpqmIZPNNkzMreM4nlFuGHVJhpPeX8YY4MvDmNmsMoAV0xLco3WI/81HIAoxthkcUXDUvvQwOTbcdAYAgxZvAQvtKCoU1cK2LBARdMOY92M1EXn5Mq7rqc1kMkW/Vs6vhmGUlahLRNi8aVPw+0w0rAE8MDAAAOjt7c15vLe3F2vWrAmOMU0THR0dU46Rrx8YGEBPz9QVfk9PT3BMIa688kp88YtfnPL4tttuW9oHUSgUCoVCoVDUlLGxMbS1TZ9w27AGsCTf61eM7Ff+MYWOn+08l156KT75yU8GfwshMDQ0hK6urrp6IkdHR7Htttvi1VdfRWurilsDVJ8UQvXJVFSfTEX1yVRUn0xF9Ukuqj+m0kh9QkQYGxtDf3//jMc1rAHc1+eV5R0YGMDixZP13QcHBwOvcF9fHyzLwvDwcI4XeHBwEAceeGBwzMaNG6ecf9OmTVO8y2EikQgikdwks/b29rI/T6VpbW2t+0XWaKg+mYrqk6moPpmK6pOpqD6ZiuqTXFR/TKVR+mQmz6+kYQNRli9fjr6+Ptx9993BY5Zl4d577w2M23333ReGYeQcs2HDBjz99NPBMQcccABGRkbwyCOPBMc8/PDDGBkZCY5RKBQKhUKhUCwc6uoBHh8fx4svvhj8vXr1ajzxxBPo7OzE0qVLccEFF2DlypVYsWIFVqxYgZUrVyIej+Okk04C4Fn4Z555Jj71qU+hq6sLnZ2duPDCC7HnnnsGqhC77ror3v72t+PDH/4w/ud//gcA8P/+3//DMcccUzcFCIVCoVAoFApF/airAfzPf/4Thx12WPC3jLk97bTTcOONN+Liiy9GOp3Gueeei+HhYey///646667kEwmg9d861vfgq7rOOGEE5BOp3H44YfjxhtvzMl0/tnPfobzzjsvUIs47rjjptUebnQikQguu+yyKeEZCxnVJ1NRfTIV1SdTUX0yFdUnU1F9kovqj6k0Y58wUqWkFAqFQqFQKBQLiIaNAVYoFAqFQqFQKKqBMoAVCoVCoVAoFAsKZQArFAqFQqFQKBYUygBWKBQKhUKhUCwolAHcRLzwwgt417vehe7ubrS2tuKggw7CX//615xj1q5di2OPPRaJRALd3d0477zzYFlWnVpcG37/+99j//33RywWQ3d3N44//vic5xdinwBANpvF3nvvDcYYnnjiiZznFlKfvPLKKzjzzDOxfPlyxGIx7LDDDrjsssumfN6F1CcA8N3vfhfLly9HNBrFvvvui/vuu6/eTaoZV155Jd74xjcimUyip6cH7373u/H888/nHENEuPzyy9Hf349YLIZDDz0UzzzzTJ1aXFuuvPJKMMZwwQUXBI8t1P5Yt24dTjnlFHR1dSEej2PvvffGo48+Gjy/kPrFcRx87nOfC8bS7bffHl/60pcghAiOaar+IEXTsOOOO9I73/lOevLJJ+mFF16gc889l+LxOG3YsIGIiBzHoT322IMOO+wweuyxx+juu++m/v5++tjHPlbnlleP//3f/6WOjg763ve+R88//zw999xz9Mtf/jJ4fiH2ieS8886jd7zjHQSAHn/88eDxhdYnf/zjH+n000+nP/3pT/TSSy/Rb37zG+rp6aFPfepTwTELrU9uvfVWMgyDrr/+evr3v/9N559/PiUSCVqzZk29m1YTjjrqKPrxj39MTz/9ND3xxBN09NFH09KlS2l8fDw45qqrrqJkMkm/+tWv6KmnnqIPfOADtHjxYhodHa1jy6vPI488QsuWLaO99tqLzj///ODxhdgfQ0NDtN1229Hpp59ODz/8MK1evZruueceevHFF4NjFlK/fOUrX6Guri76v//7P1q9ejX98pe/pJaWFrrmmmuCY5qpP5QB3CRs2rSJANDf//734LHR0VECQPfccw8REf3hD38gzjmtW7cuOObnP/85RSIRGhkZqXmbq41t27RkyRL64Q9/OO0xC61PJH/4wx9ol112oWeeeWaKAbxQ+yTM1VdfTcuXLw/+Xmh9st9++9E555yT89guu+xCn/70p+vUovoyODhIAOjee+8lIiIhBPX19dFVV10VHJPJZKitrY2+//3v16uZVWdsbIxWrFhBd999Nx1yyCGBAbxQ++OSSy6hgw8+eNrnF1q/HH300XTGGWfkPHb88cfTKaecQkTN1x8qBKJJ6Orqwq677oqf/OQnmJiYgOM4+J//+R/09vZi3333BQA8+OCD2GOPPdDf3x+87qijjkI2m83ZspkvPPbYY1i3bh0459hnn32wePFivOMd78jZbllofQIAGzduxIc//GH89Kc/RTwen/L8QuyTfEZGRtDZ2Rn8vZD6xLIsPProo0FhIMmRRx6JBx54oE6tqi8jIyMAEFwTq1evxsDAQE4fRSIRHHLIIfO6jz760Y/i6KOPDiqpShZqf/z2t7/FG97wBrz//e9HT08P9tlnH1x//fXB8wutXw4++GD8+c9/xgsvvAAAePLJJ3H//ffjne98J4Dm64+6VoJTFA9jDHfffTfe9a53IZlMgnOO3t5e3HnnnWhvbwcADAwMoLe3N+d1HR0dME0TAwMDdWh1dXn55ZcBAJdffjm++c1vYtmyZfjGN76BQw45BC+88AI6OzsXXJ8QEU4//XScc845eMMb3oBXXnllyjELrU/yeemll3DttdfiG9/4RvDYQuqTzZs3w3XdKZ+3t7d33n3WYiAifPKTn8TBBx+MPfbYAwCCfijUR2vWrKl5G2eDMVbR811zzTUAgHvvvRf//d//HTz++te/fsqx+Qup+cTLL7+M733ve/jkJz+Jz3zmM3jkkUdw3nnnIRKJ4L/+67+a7jqZK5dccglGRkawyy67QNM0uK6LK664AieeeCKA5rtvlAe4zlx++eVgjM34889//hNEhHPPPRc9PT2477778Mgjj+Bd73oXjjnmGGzYsCE4X6GBkIgqPkBWk2L7RAbef/azn8V73/te7Lvvvvjxj38Mxhh++ctfBudbSH1y7bXXYnR0FJdeeumM51tIfRJm/fr1ePvb3473v//9OOuss3Kemw99Ugr5n2s+f9aZ+NjHPoZ//etf+PnPfz7luWbpI/LCGcv+Wbt2LXp6evDEE08Ejx1yyCE4//zzQUT4xz/+AcC7f8KvO+ussxqyPyqFEAKvf/3rsXLlSuyzzz44++yz8eEPfxjf+973co5rlutkrtx22224+eabccstt+Cxxx7DTTfdhK9//eu46aabco5rlv5QHuA687GPfQwf/OAHZzxm2bJl+Mtf/oL/+7//w/DwMFpbWwF4Wdx33303brrpJnz6059GX18fHn744ZzXDg8Pw7btKSuyRqbYPhkbGwMA7LbbbsHjkUgE22+/PdauXQsAC65PvvKVr+Chhx6aUo/9DW94A04++WTcdNNNC65PJOvXr8dhhx2GAw44AD/4wQ9yjpsvfVIM3d3d0DRtird3cHBw3n3W2fj4xz+O3/72t/j73/+ObbbZJni8r68PgOfRWrx4cfD4fO2jRx99FIODg0E4HQC4rou///3vuO666wKFjIXSH5LFixfnzC8AsOuuu+JXv/oVgIV3nVx00UX49Kc/HYy7e+65J9asWYMrr7wSp512WtP1hzKA60x3dze6u7tnPS6VSgEAOM912nPOA0/oAQccgCuuuAIbNmwILr677roLkUgkZ2BrdIrtk3333ReRSATPP/88Dj74YACAbdt45ZVXsN122wFYeH3y7W9/G1/5yleCv9evX4+jjjoKt912G/bff38AC69PAE/K6LDDDgt2CfLvo/nSJ8Vgmib23Xdf3H333XjPe94TPC5DrBYCRISPf/zjuOOOO/C3v/0Ny5cvz3l++fLl6Ovrw91334199tkHgBc7fe+99+KrX/1qPZpcVQ4//HA89dRTOY996EMfwi677IJLLrkE22+//YLqD8lBBx00RR7vhRdeCOaXhXadpFKpKWOnpmmBDdJ0/VHtLDtFZdi0aRN1dXXR8ccfT0888QQ9//zzdOGFF5JhGPTEE08Q0aSU0+GHH06PPfYY3XPPPbTNNtvMWyknIqLzzz+flixZQn/605/oueeeozPPPJN6enpoaGiIiKbvk8MPP5wAEAD661//OuW8QgjaYYcdCAAdcsghtf1QFWT16tWBCsQ//vEPuuyyy2jz5s0NeZ3ceuuttNtuu1E0Gg3a/OMf/5gA0OrVq8s+77p162jHHXekt771rfTaa6/Rhg0bgh9J/nVy6qmnEgA688wzK/DJpkd+J8PDw1V9n3ykDNoNN9xA//73v+mCCy6gRCJBr7zyyrSvqcR3MRu16o+PfOQj1NbWRqeddhoBCK6HVCoVHHPVVVdRW1sb3X777fTUU0/RHnvsQQACOada9Ec+sr0AaPfddy/7PP/85z9pu+22I8dxpj0mrAJB5PVHS0sLLVq0iJ544gk68cQTqaOjI2gPAFq1alVR7//FL36Rdt11V3Jdl4gm+7LY1+dT7nfxwx/+kPr7+3Pk78I88sgjpOs6XXHFFfSf//yHfvazn1E8Hqebb745OCb/OjnxxBMbVvZrrpx22mm0ZMmSQAbt9ttvp+7ubrr44ouDY5qpP5QB3ESsWrWKjjzySOrs7KRkMklvetOb6A9/+EPOMWvWrKGjjz6aYrEYdXZ20sc+9jHKZDJ1anH1sSyLPvWpT1FPTw8lk0l629veRk8//XTOMYX65Ac/+AEBoGQyGUi4hPnrX/8aPD9fDOCvfe1rwSTRaNfJ4OAgGYZBxx57LP3tb3+jBx98kCYmJipiZMhzFPoJE+4TaYS/9tprc/xkMxP+TmrNd77zHdpuu+3INE16/etfH0iATcfg4CA9+OCDVb1OatUf010PP/7xj4NjhBB02WWXUV9fH0UiEVq6dGnONVOL/sjntNNOo76+PnrwwQfpySefLPs8n//85+mwww6b8Zh8A1gIQW95y1vINE2KRCL0lre8he6//3568MEH6XOf+1zRBuy6desokUjk6LXXywC2bZtWrFhBX/jCF6Y95ne/+x3tscceFIlEaJdddqEf/OAHOc/nXydvectb6KmnnirnYzQ8o6OjdP7559PSpUspGo3S9ttvT5/97Gcpm80GxzRTfygDWLEgkQPmWWedRbFYbIrW6ymnnEIHHHAA7b777k1tAIepp7E1G/fffz8BoNtuuy3n8Xp42YiILrvsMgJAmzZtqur7lPKdTExMVLUtjUCtr1H5PVf62Gpx2mmn0XbbbTfn87zpTW+iX/3qVxV7XSkG7MUXX0xLliwJvL+lvr4Qcxknvv71r1NbW9uCuL8UuSgVCMWCRsq3hDPAR0ZG8Ktf/QpnnHFGwdfcf//9OPzww5FMJhGPx3HggQfi97//fc4xUqHgX//6F97//vejra0NnZ2d+OQnPwnHcfD888/j7W9/O5LJJJYtW4arr756yvv85z//wUknnYSenh5EIhHsuuuu+M53vjPlOPlezzzzDE488US0tbWht7cXZ5xxRqBvevnll+Oiiy4C4MVpSZWEv/3tbwCA008/PSdhLP/clfxc+Zx++ulBDPcHPvABMMZw6KGHTntsMe3MZDLYZ599sOOOOwZ9AHjJGX19fTj00EPhuu6sbXv11Vdx/PHHo7W1FW1tbTjllFOwadOm4Pn77rsPjLGCCgI/+clPwBjDqlWrCp57pu9Efp7HHnsM73vf+9DR0YEddtgBAPDiiy/iQx/6EFasWIF4PI4lS5bg2GOPnRLDWcx1Idm0aRP+3//7f9h2220RiUSwaNEiHHTQQbjnnnuCY2688UYwxnKk9Yq5Rottx2zX6HQUe5/8/ve/x957741IJILly5fj61//+rTnLObYQv1RbHuK6e9y6Onpwbnnnjvl8f322y/Qah0ZGcGGDRtw3HHHBc8fffTRwfUVhojwxje+EQcddFDB15WKZVm44YYbcNJJJ02JJc2n2Hs9n1LvyZNPPhmjo6O49dZbi/8ginmBSoJTLGhaW1vxvve9Dz/60Y9w9tlnA/CMYc45PvCBDwR6mJJ7770XRxxxBPbaay/ccMMNiEQi+O53v4tjjz0WP//5z/GBD3wg5/gTTjgBp5xyCs4++2zcfffduPrqq2HbNu655x6ce+65uPDCC3HLLbfgkksuwY477ojjjz8eAPDvf/8bBx54IJYuXYpvfOMb6Ovrw5/+9Cecd9552Lx5My677LIpn+W9730vPvCBD+DMM8/EU089FUih/ehHP8JZZ52FoaEhXHvttbj99tuDRK/8DOdiKfdzFeLzn/889ttvP3z0ox/FypUrcdhhhwVKJ+USjUbxi1/8Avvuuy/OOOMM/OpXv4IQAieffDKICD//+c+hadqs53nPe96DE044Aeeccw6eeeYZfP7zn8e///1vPPzwwzAMA29+85uxzz774Dvf+U6wmJJcd911eOMb34g3vvGNBc8903cijb7jjz8eH/zgB3HOOedgYmICgJfY2NXVhauuugqLFi3C0NAQbrrpJuy///54/PHHsfPOO+e8z0zXheTUU0/FY489hiuuuAI77bQTtm7disceewxbtmyZtm9KvUZna0c512ixbfjzn/+Md73rXTjggANw6623wnVdXH311di4ceOUc5ZybLntKae/Z2PNmjXYtGnTFK1ex3Hwr3/9CxdeeCEA4C9/+QvOOuss6Prk9L/33nvjj3/8I8bHx9HS0hI8/pOf/ASPPvooHnnkkYKvK5WHH34YW7ZswWGHHVb2OWaj1Huyr68Pu+yyC37/+99P6/RQzFPq7YJWKOpBeMtNxvvK2OE3vvGNdPrppxMRTQmBeNOb3kQ9PT00NjYWPCYTqLbZZhsSQhDR5HbpN77xjZz33XvvvQkA3X777cFjtm3TokWL6Pjjjw8eO+qoo2ibbbaZEprxsY99jKLRaJDkF36vq6++OufYc889l6LRaNCmmbaXp9tazd/2nevnmg75HYTjAommbm0W207JbbfdRgDommuuoS984QvEOae77rpr1vbI833iE5/IefxnP/sZAchJgpFtDJebfuSRRwgA3XTTTTO+z3TfiXz/mWITJY7jkGVZtGLFipz2FntdEBG1tLTQBRdcMOP75H8XxV6jpbSj1BCIYtuw//77U39/P6XT6eCY0dFR6uzsnHLdFHtsoW33YttTTH8XYqYQiP/93/8lAPTYY4/lPP74448TgCB04TOf+QwNDAzkHCPvk4ceeih4bHx8nPr7+4OxsNDrJMWGMHz1q18lAFPOU+j1pdzr+d9FqffkySefTL29vTO2XTH/UCEQigXPIYccgh122AE/+tGP8NRTT2HVqlUFPQETExN4+OGH8b73vS/HS6JpGk499VS89tprUyRzjjnmmJy/d911VzDG8I53vCN4TNd17LjjjkGlnEwmgz//+c94z3veg3g8Dsdxgp93vvOdyGQyeOihh6a0L39rcq+99kImk8Hg4GDpnTIL5XyuenDCCSfgIx/5CC666CJ85StfwWc+8xkcccQRRb/+5JNPnnI+Xdfx17/+NXjsxBNPRE9PT84297XXXotFixZN2REolfe+971THnMcBytXrsRuu+0G0zSh6zpM08R//vMfPPvss1OOL+a62G+//XDjjTcGOtK2bc/YrnKu0Upfn8W2YWJiAqtWrcLxxx+PaDQavD6ZTOLYY4/NOWcpx86lT0rt72L45z//CdM0g2p2ElnKW3qGr7jiiimarK973esAICeM5qqrrsLo6ChWrlw57etKZf369WCMFS1fWC6l3pM9PT0YHByE4zhVbZeisVAGsGLBwxjDhz70Idx88834/ve/j5122glvfvObpxw3PDwMIsoR+Jb09/cDwJQtzM7Ozpy/TdNEPB7PmVzl45lMJjiH4zi49tprYRhGzo+M49u8efOUNnR1deX8LYthpNPpGT9/OZTzuerFGWecAdu2oes6zjvvvJJeK4XdJbquo6urK+d7jkQiOPvss3HLLbdg69at2LRpE37xi1/grLPOmlKQpFQKXWuf/OQn8fnPfx7vfve78bvf/Q4PP/wwVq1ahde97nUFv+tirovbbrsNp512Gn74wx/igAMOQGdnZ06p13zKuUYrfX0W24bh4WEIIaZ8l8DU77eUY8ttD1B6fxfDqlWrsOeee8IwjJzHH330UXR2dhaMp5XIeHJpAL/66qv4xje+gc985jMFr8FySafTMAyjqPCjuVDqPRmNRkFEdR+rFLVFxQArFPASLr7whS/g+9//Pq644oqCx3R0dIBznlN6WrJ+/XoAqIhno6OjI/Aqf/SjHy14TL5w/1yJRqPIZrNTHi9kaNeTUts5MTGBU089FTvttBM2btyIs846C7/5zW+Kfr+BgQEsWbIk+NtxHGzZsmWKMfeRj3wEV111FX70ox8hk8nAcRycc845Rb/PdBRK9rn55pvxX//1X4FnTrJ582a0t7eX9T7d3d245pprcM0112Dt2rX47W9/i09/+tMYHBzEnXfeOeX4elyj5bYhGo2CMVbQuMx/rKOjo+hjy20PUHp/F8Pjjz9ecMfg7rvvnhIXnA/nHHvssUdgAF9yySXo6+vDJz/5ybLaMh3d3d2wLAsTExNIJBIzHjvXMamUe3JoaAiRSCRnZ08x/1EGsEIBYMmSJbjooovw3HPP4bTTTit4TCKRwP7774/bb78dX//61xGLxQB49eJvvvlmbLPNNthpp53m3JZ4PI7DDjsMjz/+OPbaay+YpjnncwIze9yWLVuGwcFBbNy4MdjmtCwLf/rTnyry3pWi1Haec845WLt2LR555BE899xzeN/73odvfetb+MQnPlHU+/3sZz/LqQT3i1/8Ao7jTFGpWLx4Md7//vfju9/9LizLwrHHHoulS5fOev5yvKCMsSlerN///vdYt24ddtxxx6LPMx1Lly7Fxz72Mfz5z3/GP/7xj4LH1OManUsb9ttvP9x+++342te+FuxSjI2N4Xe/+13OcYlEouhj59KeMMX092xYloWhoaGcxRoA/OpXv8KLL744YxKq5HWvex3uuOMOPPTQQ7j11lvxy1/+cs47GPnssssuAICXXnoJe+2114zHznVMKuWefPnll8tOCFY0L8oAVih8rrrqqlmPufLKK3HEEUfgsMMOw4UXXgjTNPHd734XTz/9NH7+85/PKM9TCv/93/+Ngw8+GG9+85vxkY98BMuWLcPY2BhefPFF/O53v8Nf/vKXks+55557Buc+7bTTYBgGdt55ZySTSXzgAx/AF77wBXzwgx/ERRddhEwmg29/+9tFSYXVklLa+cMf/hA333wzfvzjH2P33XfH7rvvjo997GO45JJLcNBBB2G//fab9f1uv/126LqOI444IlCBeN3rXocTTjhhyrHnn39+UG76xz/+cVGfZ7rvZCaOOeYY3Hjjjdhll12w11574dFHH8XXvvY1bLPNNkW9Zz4jIyM47LDDcNJJJ2GXXXZBMpnEqlWrcOedd85oONX6Gp1LG7785S/j7W9/O4444gh86lOfguu6+OpXv4pEIoGhoaGcc5ZybDntKbe/Z8I0TWy//fb4zW9+g1NOOQWxWAy//vWvAxnC2TzAgGcAX3/99TjjjDPwlre8paA3ea7IheNDDz1U0AAOj5+VGJOKuSeFEHjkkUdw5plnlvBJFPOCemfhKRT1oNis5UKFMO677z5661vfSolEgmKxGL3pTW+i3/3udznHTFdI4bTTTqNEIjHlfQ455JAppU1Xr15NZ5xxBi1ZsoQMw6BFixbRgQceSF/5yleKeq9CWeqXXnop9ff3E+d8ShnoP/zhD7T33ntTLBaj7bffnq677rppVSDm8rkKUawKRLHt/Ne//kWxWIxOO+20nPNlMhnad999admyZTOW25Xne/TRR+nYY4+llpYWSiaTdOKJJ9LGjRunfd2yZcto1113nfXzhin0ncxUiGN4eDgo+R2Px+nggw+m++67jw455JCca1We48ADD8yp6JXfp5lMhs455xzaa6+9qLW1lWKxGO2888502WWX5RQHKPRdFHONlnJ9TtcfM1HsffLb3/6W9tprLzJNk5YuXUpXXXXVtOohxRw7Xftna0+x/V2ImVQg7rvvPtprr70oEonQsmXL6KKLLqLvf//7BIBeeOGFGc8rXw+AOOc56gnFUEohize/+c30zne+M+ex73znOwRgSsWwYu718PsXUg+Z7Z7885//HNzrioWFMoAVCoWiAjz55JMEgL7zne/Uuyk55Je0nQm5EJlpcaCoH9IAtm2bHMepd3NICEG2bdMNN9xQtAH8v//7v6RpWk6Z8fPOO4845zQ6OlrR9hVzT55yyil04IEHVvR9Fc2BCoFQKBSKOfDSSy9hzZo1Qcb86aefXu8mKeYxa9asgWEY2H333fH000/XtS2/+c1v8J73vKek1xx//PF44xvfiCuvvBIf+tCHsGrVKvzoRz/CcccdN22oS6kUe0++9NJLuO2228oK11E0P0oGTaFQKObAl7/8ZRxxxBEYHx/HL3/5S8Tj8Xo3aVpuvvlmvOENb0AymURfXx9OOumkQIf3lVdeCSp0STUEZcw3FpdffjlWrVqFVatW4bbbbqt3c3DooYcG7Vm1alVRiWSMMVx//fXo7+/H+973PnzmM5/Bcccdhx/+8IcVa1ex9+TatWtx3XXXBaXYFQsLRkRU70YoFAqFojoceuih2HvvvXHNNdfgRz/6ERYvXoydd94Zg4OD+MQnPoGOjg784Q9/gOu6+M1vfoP3vve9eP7559Ha2opYLIa2trZ6fwSFQqGoOCoEQqFQKBYI4QqH22+/Pb797W9jv/32w/j4OFpaWoICJz09PWVrCisUCkUzoEIgFAqFYoHw+OOP413vehe22247JJPJQJZq7dq19W2YQqFQ1BhlACsUCsUCYGJiAkceeSRaWlpw8803Y9WqVbjjjjsAeAUGFAqFYiGhQiAUCoViAfDcc89h8+bNuOqqq7DtttsCAP75z3/mHCOrlzVaARSFQqGoNMoALhIhBNavX49kMlmxal8KhUJRbRzHQTabRUdHBwzDwNe//nWcccYZePbZZ3H55ZcDAMbHxzE6OhrEAP/yl7/EkUceiWg0ipaWljq2XqFQKEqDiDA2Nob+/n5wPkOgQ511iJuGV199lQConxr+RKIx2nb5jvTWY95DH//cV+gHv76HbvnLI7R42+2mHLv9TrvSHQ89Qx/9zJeDClInn3M+3fKXRyjRkpw8bufd6M4nX6Htd96t7p+v2J83nXw+vfOS/yYAtNvbjqcPXf9nirS0EgBKdPbQ0ZdeS28+81ICQFzTCQAt3nUfOuum+6l72c60/R770CXX/4r+58GX6dq/PE1vff9pwbl33/8tdOkNv6b93/5uAkC6YRIAetfZn6TP3fR/1Nq5qE7ffZS2Wbod7bXP6+ltb38nnXTah+iCiy+lL1/9Tbrljv+j8y/6NOm6Hhy/qKeHbv3NH+gLX7mKAJBpep9j79e/gf7393fTGWefm/P4Jy75DP3fX+6jWDxe9++30j+vrl1Lp512Ws5jJ554Ij3z9NO0dOnSurdvIf9cfPHFtOqRRygWiwWPbbNkCf3617+m//7v/657+9TP/P25cuVKuvdvfyPDMILHli9fTn/8wx9o5RVX1L19hX7O/chH6Jmnn6aWlpbgse7ubrr5pz+ln/7kJ7O+/tVXX53RrlMyaEUyMjKC9vZ2rFmzBm1tbQ3tBZZfKXmV/ry/ibwrQv4uHy8SxhgY5+D+v4yx4KeY9jiCYDkCluPCdr1/RYFjI5qGqKkhZmgwND7l/III8hHGGAQRtmQEBlMCbRGO/oTXRlcQXh33tnGXteogIliuwJYJG5ssjmwmheFUFlvTNjJOoZZ4cAZEdA2mxsEZQAS4gmC7AmnbxYTlYCzjYiRtwxa5/XnOQcuwY3dL0Acpy0XKcpCyXWQsFxlHwHIFbJdgC4LjEhwiZB3vPItbdGxKu3hx2MLhy1oQNXRsSjm4++VRXHDAYoBzbE07+NsrI0hENOy6KI60TZiwBQwO3PncFpz1hj70tpgYt1y4QmD9hI21ozbaTY6uCJByCOtTAjEOxDmBCGAMGHWAlAB6DK8PSsHggKFxGBqDwRk0zsA5wMHg/wcA0DlHImrA4Aw659A1Bs4YBAETLoNDk8dyeO1i8H4MTjCY95h3XQAp1/ujRZ/8HPmPSyYcBgEgGTq20hARhBAgIXLuRfKenNO5OecwTDO4r8P/RqNRWJYF13WDx3Rdh2EYSGcyICGC9pH/4TV5vjJwXRf2LDHEnPNg3AiPIY2CEALCdb1/xfTjQTEwxmBGIgU/H+ccGuewHSfncV3TQJgaekJEyGYy074Xl2NxaGyWbagEU+YIebPI6w2T17lw3ZLmFAAwTBOaplWkrQuNQuOLpmnQ9MIb+zNee0Rw/WvftqzgezRMM7jG6oHmjxvODG0Ok81kQESYmJjA9jvsgK1bt84o46hCIIpEXgDt7e1obW2tc2sqQ76hHDwWnqxnM5TzJrRiJzdpFGcdF1nbRcZ24fgGpAAwQQB3AVPXENE1RHQOU9eghayx0YyN14bTyDgMOy5qwaKWSPBcynKB1DhaowZaW+MQROCMIZpwsGX9CPbfYTGSUcM71nYxnLIwlLIxnLYwmnUwlnWQstxgkM+f3hmAeAyIA1jkP6Yxz6jjvpX2ygTwWiYFzgDu9wcRQRDw1PoU1o9kQsa8/Nf7JRnR8bY9tsXt/9oAYhosI46NKRsDo14//XH1OMAAgzOYpg6bgNfGXej+osQVgEvAhjRhq+PCJfIaxU20RIDBtI1ELA4YANcysMGQSEYBECKahux4Bq7lYmlvKzTfoNWZb8yGPg8DQPCMSEEEV8w+ATL/9XFTR2ciMuV5IkLSPw3P65fpEERwJrJwBaG1NQYiCl6jZWwMT2ShRaJIRAxMZB24ThZtcRPJqJFzbC0J31c591hosTrlfvSfn41IZGq/AkBimoIAumFAn2binA0rm4WIRgFUz9AlIm+iR6iv8vqBcl+Q83gpLQiOZyz4N3zOYMERHjOR+x1GotGCn1suFlpaWoKtWSKCZVneosYwcttCBDeRmGx/yPFQyWs2PNbnG1WlMl3bwv3KOYemaQ21CJrPEBFc14Vj20jE42CcB9+v4zhg8IxBIkLUHzvMSGTm8IEaYNs2hBCIxWLBtSI/h67rU4x98isJmiMjAGafN5QBXCLzyWEuL45ijFU5KAo5EYUmIUEE5K3EGGPgmhYMcvnvwRjzPIQaR0vEG/RtVyBtOcj4BrEgBL/LdkQNDXFTx1DaxnDKRjJqYKeeFpiad6NKQ1cQwSWCqfs3sD/6jmZsmBqHrk3e2HFDQ7wthv7WKMayDloienCOlOUiZbuT/9qTXty07SJtC6Qd1/MME+C6k/2Qtqf3JHUmDLTHjUmvZjDZen93JUy0xQwsajEhiPDPtVthaAxpW8ARhPGMg75kBIvbonh2YAwvD6Vw7O6TZURf2jwBjTOYugZHCN8gAUyN+95shsXJKOKmhoSp4d+DY1jSFsV27TGsHUnjxaFx7NCZQF/ShOV4Rrd3HVBBz30+GmfQuedZ1DUGg3t9bmg8ZxFTCMYYtCLnRbmgcIQAkXcNpbIOXCLETR0aZ0hEdLhCYGvKwnDKW8okonqwAKrXJBx+3/w2zOb5m+5cjDHPgykNUOa5yV3XBQPA5f3oHTxnY2qKx9Q/V+CZnEPfynHHdZw5e2XLhTGGiG/cF4M01Gc6H/O/D2lcyLFVyzN+5fHlLkxmaqP83uZi6Erk9805D64vRe2ZbgGT/93atj31taHfuabBMIyG+B41zuE6DlzXDe4D13GCXY98ZJuLNdyVAVwiVjZbN49RvWCMedtUeVtVcrAPG8VyoiIi78L1ty40TQPXtBm3UwyNw4iZaI0hCFnI2q4XOuG6cFwg6wgMp9PYnPLOmzA1bE1ZaIsZiOha4JmM6BxZR8Dg0jDw3mMoZaMlogcGc5jxrIsn14+CM6A1aqAtqqM1aqAzbqCnpbBHTX5W2yVkXS+kwXE9I9UVnnEmAo+e9H4Cmu9N1RjAOPM8qILgCs+Yy7oCLwyOY9v2GHqTk9upQykLG0Yz2L0viaihQWMMO3Qn8OzGcfxn0zjetF0HhlM2Xtg0jr2XtKK/LQpXEBa3RsAArBvN4uXhFJZ3xrCkLQLbFdimNYLRjI2H1g5h1asMjiDvMyc8b2kYjTFwLtvu/+v/6JwHv9fq/iACtoxnkLZ9A48xbJnIwNA4YoYGwDME22ImooYXCiPDLRoef6sZAJi/fRkYlSHjMr+vpZdR03VwTfO21Ym87cwKbzfL9shJVrguRGgbP7xFz6Zpc3gxTf6CmgqEIgSfe/IB75+pjSr8eIgpC/kZPl8pMMbAZuhjxhg0XYdj28EixHWcYGysJkIIOI6T8/0Ual++Fx/TXGeKxkC4Llz/p1w03XP6NNoChvshHcEi2B8fDMOoyP2iDOASISI4tl12vNx8Qg72+ZchCRHEE8nBNnyD5nsLCt1wjDE/9EED+QO3609YWcfbjk87AsNpG4PjFgheCMKuPQnETAMRnSOma9g0nkVn3ITGGTaNZzGWsbFLb7KgF9JyBXTuGYBb0za2pm0AaQCeQR3VOUyde95MnhcOwGQ4gPc/bzDxDFuCZwi7guAIgYzjx0O7nqE7m/NFem+jugY3asARhO064tiuMwbTj5PuSpj447Mb8dN/vgbGgN16k3j3nn0YGMviyQ0jeHCNC0GEmKFhSTKCpa1RbB7PBu+xQ2cMbVEdtisQNzR0xQ3ETB0654GnvlBMdr3hnKG7Jep50mdoG2MMUaN5Yg0ZYzBN09PnlQYh8zzqYc9tITRNAxmGF+tn254X0TAKekwq0k5/yzTYJQoZr4ERO5fJ2Z8ES5nwAk+YH0IC+FkxRcT4hnevKm2USo8uA4K4Rq5pFffyhhFCwPG3ksPtYP44HN4FaLT7WzE9hb5XoPCiM/y9CteF4y+K5b3VyN+7rusQoZ0ts0LGLwCoJLgiGR0dRVtbGzYODKCtrW3aJAdFLuEECVHA48I5DybQ6V4vg/LljerYNhjXYBOQ9kMkbD+ZLKJ7sU3Sc7Fx3IKhccQNDcNpC10JEzt0Jab97ogIKdtLahvJOBjLOMi61d9+1TlDROfBT9SPe47qHBFdg6F5g9h41sEja4dxwLJORHUeJOQ5gjAwmsFE1oGmecayqfnPC/LjkycHQs78uF7fsDV8r6juh0coGgN5/Rcy2vINl/CkV4hajlc527Ehb+tMMcz5n6OcMIqZ+mu69wt+L/M960F+n4ZDWvwDvDAw180JyQgbPI3+GRXTI4SAlZ10YGgy3LDBkkvrhbTXRkZGZszZUh7gMpCDu7rQZkeGT2h+1ma+QTybV8p1HAgib9Xnby1KL3w86iU1yYS6jO0ibTnIOl5YBojQHtWQsgUmLAe9LRFs2xGf1VOYMHUkTB39fvKo7QqkbBdZ21dtEAJufogDhc/h/+u7hTk8j7CMi9U15sXi6hwR/99ijc6WiI63rlgEVxAGxzJBfDQAmBqDGc+NI4waGpK+YWtwHhi9s8XhKhoDxhgM0wxCisKLyJliN6dLwqoV0sCai6fG8UOo5FhrhMaAfMJJPvltyIm1llv7TWwolBofDkx6meud1KSYGzImXu6myvFBfa+TCCEKxjkXQhnAipqRMynq+qzxdzJDVdP1HEM5HHcof5fb9DKr33YJWcdLqIvqXkIdQFi3dcJThoiZRRudhsbRpnGg+FyYqmI5LjaNZQLVjPwkM52zINmsWSd5xSTBfeOHXeUrtMhtfhnXKo9p5u/edRwv09vf7nQdB5ZlBYZ9TsyxEDnxjwvNKAirSQRjqh+/G6gtLJC+mK9Ip4+bF19vmGZT3+fVQDoLikEZwOWgto8qwmx9KLcx8+VyiklcMXUGUzeRjEoNXsfT6nUFRtI2xjIO2uMGWiKNke1aLBNZG1vGs17MM2foSUZh6s0T26qYO9NtX4c9g810Tecb8oDn/WWce/H/IX3Z2TyfUhqpmT5/qcgYZeG60DRN5aPMYwrtbHDOg5j4+Xyd1wJlAJeBpi68miBcd0pMU1hmqFgPD2MMiYiBuKkjZbnYmsrCEYShCQujaRutMRMtkcaeNAURhieyGPdVGaKGhu6WqAplUAQ0WzpH/nbuFIgwW+pcIME1i8LMfEPzDWDXdaE3ubdfMRUZKujYdnBfy2RWVTikcigDuEQ0TYNeQK9RUXkIUz1ZMsO8nEHAM4R1xE0N41kHW1OWbwhnMZK20JmIIG425i0xOJpG1q9Y1xoz0B5TW1+KSXLi3ppkh6pQ6AJjLIjfl57O4HHXq2ZommZO0pesXjUdhZIFkd8/UqMw9Hd+hb3gqfzzT77RFIm2gu0JHzvDcTnycPLvkFRc+Lhm+L4VMxNWT8qX6JOGr/qeK0tjzvYNjIq5qR2cMU8qKLTgkBPmXFbBjDEkowYSER3jGRujaRuuIGwaywTVyRrNsxqedC1bIKO7iBpqQFzoFIoN1Jok3lMmxvKQ+gIwGcqRH8dLQnhazwU+30ze72bzjCsWFjLEodB1Kh1uapyvDsoAngPCH5BVgoH0TggwrlXMI8E1DcwfHLimBYoQel5SHICgslIp78sZ88IfogZGUhZGMzZSloOs7aIrGUHMaJzbo7c1FrQx47jIjLnQuFdOOGp4esmNZrQrqgsRBYV5gNzYwGZAKjtMR75BMN24IpPeZjxP2HOar57he2PDnt6wPJr00hYsuBHSGC70e7GfbSZypNr89oTLTCvjqDkptHiVUnz5i0JF8WiahmgsVtSxjTPDNxlhHb5GqJldL0RqFGJsMyAcwIiCx9vB49Pr7pUC5xyGYcDxM8IZ5zB0fYr3N9gC9SfUUr3DnDF0+OEPm8c9dYXB0Qxaowba443h8ZdtTEYNjGZsjGc8r/VYxsZYxtv6NjRfR9jQENE06JqaHOcr+cavYZrzJjYwHPIQ/kxCiIIyaFJqsRmZyRBW9+78Jhz/rjy99UEZwGUSzsq0LWveFsYg4YKsDOBkwSIJMGOyaAXZWYixzeDxNrBoC0R6FGLrBoBr4NFERd6faxpMf6sUmH5SkNJItmVBlDmYRAwNi9vjQbLZaMZG1nHRnYxCb5AFjq5xdCYiaI+byFgu0rYn9eb4BTFsVwSJcsw/XkqjSf1f+bsqeNGchIvDgHkV4+bbAlzXddi2DeY4gQwa+bs/84n5OGcoZkdKfAJefO98u66bBdXrZeD62pOS+Voemaw0xNhmkGMDrg3exnMMYJHaCnANLN4GpunQjEVwHQs0MQwyTDCtcsmCM00Uspqc3E6S3085ixLOGLpaoogaDrZMZJB1BAa2prGoNYpIA8mNccYQj+iIR7xb2BUCWVsg67jIOi4sR4CAwCie7hyGXyTDK+3MwfzSzrJwh1fuWU3SjUS41PB8NH4BQNN1EHw9YD/0wVT5F4p5gjR+m3n3Yj6gDOAScRwnyDiW8Xa2Zc1PORrGwMw4eFsr3KHXQI6VE4dHdhbMiIBp+mRRimgLxMRWkJUBixk1y1AOxO9dN/COZTMZz0AoY4BJRHSYehybxjKwXYGBkTR6klHEGlQlQuMc8QgPDGJZHc92BRxXwHEJjl/BzhEiqGCXdShQl5gOaRR7Wet+hTtMxkQy/wnOfFkq/1/mPycr4rHQsfJxFjweOj70XlweM5/uqyIIqr3Jcrey0EVIBrCZ4n3LQdd15RlTzDvChRpU2EN9UaNLiTi2DcRiniafrufUWZ936BHwpFf+jBlRwM4CJADmGZSM64DIVepkesSzYpzpZYmqaRRrmgYWiQRGsGVZZYvjGxpHX2sMm8czSNsuNo9n0d/OmyLLPlwdrxBCEGzhGce2S578Dk2WdhZ+qWdPfglwc2IV65NVL73S4bLSmu+51jUGnTdniWdp1Iq8f2dCjj8KxXyEiEDZFGBnAM7BzBigz48ww3Dc93xewDYDagQtA2lQAQi0N8vV6GtkDceccsNmFGJsCBAC8JUeoJugzFjuizQdjHGQmL4UIU0Mwx0fAjOiYJE4mBkHjMoNbjIkwrZtCNeF4zgQQpQlYcc5w6JkFBtG0rBdgS3jWfS0Fpdh2shwzhDh2qxhHUIQ3MD76D1GoMAG9itMg+AZz+Qb0QTveKLgFZO/+y8nyvs9dC6iqWa2IIJwZza+ZViHqXufLWo03oJFityLkObntMiM//CPyv5XzHeIQFYacLKgzDigm9A6twH0yV1FIgJc29uprGC4XbXJuW/z9acVNUUZwCXCGAu8iY6fmAGg5OIYssQhCS9WU2/w7UxmxjylB+ECMAKjmMaHQK4DpnmXEtN0kHDAmO85LnBzk50FhAvKToCyE96DXAMz455BHEmA6XMb0KTEkss5HNsOVDvytUWLPVd3SwQbRtJI2y4ytqfBuxDgnIFPFYCqCfLemjSsfWPc9047wb8CrjtpqMuwjjF4i9OIztESMRCP6HWLZ5ZGr+svxgrBOfdkkCps5JJwAdcGuQ7gevcwyXtZeGMQSP74L2IMYBxM0wCug+mmt0g1It7fatJWVBPGwONtgKZDDK/3HuP+ziNjXnL2xDBEesw3gjXw1kUVUyCqJvK+lmPawphJGhNlAJeINH5l4htQehyP3JoHkTfRAZ5xZhiBZ7lRCD6X7iW/kWuDwTduI3GAMVB6DEi0+wOTABwLrCUy3SnB23qBRDvISoOyKW+lL1xQZmzSo6xHwGNJsFhr2caw3CbmnMOSIRHZbFmydaauoSWie+oQaQtRo/m9wI2OvPY0GRA8C4J8JQxHwHIFMrYL2xXIOgJZJ4vhVBbJqIlk1KhpqERBoXvmhW5Io7cSxi4RAY4FsjPeItPOgpzslDClks7pb+Tk+N0rvFhVNA5Ewr9uLMB1vL+FgLc1QwitkHzPpbxm5ZaQmHyeczDuLaCg6V7InG54j80CYwzwrytyLLBIIsdTKsaHQOlR8JZOsFibZwyPbQLTDc9Z0+BIG0IVaak8wnWRzWSKOraxrK0mQGZshrctg8d8L89sWZ22bQNEuXW9fQUD3oDlDoMwDU0H2VlQtMWfsDlYoh1ifAicBBBtgRgfAoyoFzM8DYxzwIx5A1VLpzcIWGmQlYLITHhxX04WYiwLjG32JtlEu/dvGX3DOUckEgl0U8s1gltjJsazDtK2C8txYTaQKsRMCCJYrpcA5wovvEB6U6UXVZAX7iAfD3tYZUhDTtiD/Ddv/M4PX+DhZLdpEt8mk+e8BDqpPqFzL4bZ4MzTN56l2AdnDBE9N6zDcQUmLAdjvm7ySNrCaNryFDQMHTGzevebEMILvwlXafN1rCsZwkCuDTG6ydsqnm5C5dqkEaLpnhHLNe9xrnne3jyDhoTwdn1c20uAtbNebP+UxaoJrXOJ5yVWNBVEBLJSk44IK4NKxvgXPBPjgKZDa+v1nCgztI0xBrh2zrVFRKDUCHhLJ3iiwztlsgsitRVkpZvGAAYwv3OI6kRQNrwIlAFcIsGkFZq8spkMOOfBio50fdqQCNd1IVx3ylY8Ywxug98MzIgCjjcJEglAM8CT3SCuQ6RHgfEtgB6B1rqoJK8QYwyIeB4lnuz2trcy46DUqD84+6ESmgGeaAeLt5dcfY8x5sUFW1YQDlGqEWxoHHFTR8pyMJ510NkABjD5xm3WEcg4ApbjezxdKYnmJbnNF0yNIWZowU/c1BA3NET0wlWTdI2jLWaiNWogZTkYSduwXYGJrIOJrAPOgJaIgdaYWTGvsBAiCLuRVEPonohAE1shxjZNGr6M+QvQiBdjr0eK9rrlU6ilRAKwMt5iNZsCrHTgdVYGcHNAfnwtpbYWXjRxzbtu/IVSsDjKv3Z9j/BkGGvoGCLfe+x6nmQxGX4DEjMmSUtkqAOIvGtYntvOAMIFi7bkHq9HpigVNSpc0wLJTmbbJYdQKqYn7HCYDWUAlwnnHIZpBlubcrJjjM0ouyXL+uaXOSQh6hIDTEQQY1sAELTWRYUPsrMQ2XGQnQFcB25mHOA6eFuPF6bQ0gEWby1rki0E87WFEW8DOZYnq5YaAXxPF8a2eFtfiY6SDGEplWZZFsivHleqVnDCN4DTlgMkpg/zqAauIIz7xvd41sWE5XmjRRH2LQOgc+bF9PqyZlpI61djDJznagDrIR3gfNsw+FNKloUel90pCIH8GoEgRK5HSHqHwRAk2Unvs/RA275KRdYRcIlguQTLdTCSyU2y1DlDS0RHW1RHe8xAMpIbp8oYQyJiIG7qyDoCKctBKuvAJcJoxsZY1kZ7zAuPKHfylHH94SI5XNOqEt9P2RTc0UFPmQUAjCi0th7P+K3i5M8YDxarLO7A3fiS97g5vSdP0RiQ64AyYxATW3MNUK55u2uRuOc91aonzUVCTMajG9OPn4ERa2cBMG/nQj5nZz2jXDcnE+KE8DzLJBre+AU8+0HXda/KqeOAca70gCuAHIOLRRnAc0DzDVnha3XKx6a7AV3X9aoZFSjlG6gt1PDmJceCO7zBW1EDoHjbFC+O9BaI1ChYNOlXg5ta5KJSxm8+TDehtfWAkt2g9KgXYuHaXvnliWHwZJfnES6y36SgvgyHsC2rJHUImfzmCILjCujTyIxVAiLCaNbB0ISFrRkb49npb2wvRIAjonGY8nddQ9T/XeflX1tEhIwjvARAx0XG9rzNk7+7gdfZ8uNvLVcUZZgDniFsaBym5rU/anDPu2t4cdedcR2tUR0RncNyBNK2QMp2kbZdpCzvX0cQtqZtbE3bWDOchqExLEpE0JeMIBGZHOYYY4gaGqKGho64ibTtYmvKgu0KDKcsZGwX3S1R8BK9wUQUqI4A/gRnGJU3fO0MxNgWz3MHAIyDty7yitHUeOIPElh9LXBF4+EZvePej/y+AG/hGmv1Es2qvGgKwzgHeCSnoNJMkJ2d9ERLhOM9Fka4ALmA5s1fje4FZoxBN4zAYLMtCzxau+9hvhIuMFIMatSaI6VWcgnLGQG+B9Z1IYhg1mgbhITwkgjGhwCQN4m29xbcwmSMgbV0gLd01KRt08G4F2/M4m2g9JhnALs2xMggMD7sGQF+bPKs55Ke4GzWy8x33aI1VTlnMH1DLGO7aKmCAWy7AhtGMxgYy04pUmFoDMmIjpaIjoSpIW7oiBrllTWWk4TlCLw2ksaG0QxMnUMQPA+p7WLC8jzNc42iCLy9viRa2DgWBD9RTWBsuhMA0BhDe8xAd8JET4uJbdqjSEYMCCKkLBejGQcjGRvDKRu2S1g/msH60QzaojqWtMXQGTemeIXjpo6YoWE862BoIou07WJwLIPe1tImo3Csr4ztr2i4Q77hC4DF28CT3XUzPinjGVQs0jLLkYpaQq4NSo9DZMa8EJUwRsQrXR+r3I5dpSGiQG/eC60xPO+ufD4kxRnMo463q8f1woY1OTZEamvg5WasMRSXdMMIHGC2bcOcZ9Vka0l+gZFiUAZwDQm0C0PIOCDpTa4mJFxvEk2NBNm6zIyDt/c1dCY3kfAVM/zkoXgrWCwJSm31wjdc25PKMWPQkt0zJlZIpIfOsW0vLMXPyC+GqKFNGsDRufcbESFlu9iatjGSdjCctgIDUWMMXQkD7TETbTEdEa1wrGux77M142DzRBZbfK/yuq1pPLdxAhnHhaFxxAyO3tYo4qY2xYsS1bnnPdU5or53OWp4v0d0z4MrK9BZrizN7Ksx+CENAILEN0Pjnl6vxmHqk0lvgghpRyBluRjzQz5GM164wpaUhS0pC89v8trUFtWxQ1cCO3W3oL8tiv62KAR53uCNY97nHMk4GMmMIWFq2LE7gda874wxhmTUgKlxbBxLI+u42DKRRXfL9ImcYVzXDQbeSiu5EBHE1gFQenSyvdGkt/NRpBetGhAJUNYzxnk0Ubd2KCbxwmI2BTt6AUYUPNriOQgqdM0ERqoQnuc1LJ/H+dyk8oQLd+g1L/bXsQA94l1rRhRMN73Qh8y4Z9z7Y71cGMoEuPz3JivtSXaOD3neb9MP9zBjYGa0bgZxjjPGzw8qp3KpIpdi53JGSoejKEZHR9HW1obh4WG0t7eXdQ655U5EXq173/tYjQSZfERmHGLrwKQkkmaU5DWtJ2JoHWjLa4AQYB19YF3bBl6vwJs9MRQkc7BYq/fZZvGMye9D+PHXxYZCpLIONo173tLFbeXHPgpBGBjLYsNoBik7N7yhxdTQ3xZDd6L05CzLT/Iat1yMZR1sGs/ioTVDSFku+ttjwflcQXhlSwoMwM69LdA5wwuDExBEeN/e/YgbGhKmjmRER9yYVGAYmrDw+LoRDKcsDPthByMZB2O+kTodriswuDmF1zaMwrYFolEdfYsS6O9L5ojbWxkXHXEd23UnsP2iFmzTFsO2HVFwxrAlZWHzhIWBsSwGJ7KTuV8AlnbEsFdfK3qTk4Zr1nGxfiSDDaOZwIu9tD2GpR2xgt912nIwOOYZEN0tESQisy9wbNsODOBy1EVmwt26EZTaCqAxDF8JuZPxvzzZDZ7sqnOLFi6FdgdgxnyjNzln5wY5Nmh00DMgU6NANu3HEM9iOnAd0E3AML1rVqoDmV4BJEQSBa9lIgLsjGe0uk5QEIOZcfCOxQBjEEPrvDjgeJtv3A6Dt/d6IR2FPoOV9nJJshMFZAGZ5xmOJb3+qkMujmVZwQ6SYZoqHrgMZHI7AIyPj2NRTw9GRkbQ2jq9NrTyAJeIZVmeXBkv3RMXViJwHSeIA6r0dmk+Ij0KMbzB+0M3PeOwTEmxekDpcbCOfsDOQAytB4Y3QFu+j7eVxTm01m5Qoi3wblN6FG52ArxjMXhkeu+ULJaR9UMhipGwAwDhD/zlFlUgImyasPDKUCoIceAMaI0aaI8ZaI8aaIkUd02MZR0MjGWwadzC5pSF0YyNTF7YxFjGwbqtGQgCFrdF0dsSRVfCBCPgqXWjuOiwHbBdp9dPWyYsXH7nc9DBsKK78Nb2UNrGHU9tmLZNUZ2jJeKFFkR1r0wxCcJDz2zEhg1jOGTPxYgYHJtHsmAaw3YdMaQsF8MTFl58bQQbNk7AcQU0jWFpfyu26W8FEaE3GcEuPUnsvU0b9t2mHY4grB1O4flN49gwlsWa4TTWDKfR3xrFftu2ozsRQUTXsLwrgW3aY3h5ywQGxy2s3ZrGaNbBrr0t0PMmu5ipoy1mYCRtY2gii6ihzVpJTtd1CD++37IsREpMrJwOkRoJjF/e0Q8eS875nJWCaV4SrBgZ9MKRzOiM95qi8lA2BTG+xSsZ7FOpsBgiAo1uAm1aCxrdFNL3nY48PWDAi9W1HMBK5UonhtFNsFgSiHm7eizeCkST3tieJ2cW3pHirYsgxrZ4Th3NAO9YPEUVIqd1ZgyaGfON66xnNPvSmzlFmdig14eJjpruihqGAdtPprctC1BGcMnIKpmlSMspD3CRSA/wxoGBYEUxl+1O2e3VNkJFZtxbLcP3jLb3Nkz8UzmQnYH74j/BEu3Qlu4x9XkrDXfrQJDlzFsXeWoRM/Sz7S9q5AJltu9kNG1hOGUhbupYlCxum1ziCIEXN01g04TXPlPj2KY9it5kZIoxVgjLEVg/msFrI2msG81gLFu45LSpcbSYXhLZw68MY4/FSfz9xS348AHbYbc+7/r91/oR3Pr4Onzq0B3RlTDhCoLGGa685wXs0JXAu/daDLNAjPNW3wBuMTXAj78dy9rYOm5j00QWW8azGE7ZGM9OJiSkxy2kxyy0dsWgm97AbmgMMZ2jsyWCzriJLUNp/OvFLXjPAdvhra9bjD89tg53Pb4Oe++8CGbChAhNgO0xA2/ZoQsHLe9EwtQxnLbx9MAo/rN5PAgf2WVRC/Zb2pHzGQbHs/jPJu+YuKFhz8WtMPXcz0hEQenrmKFhUXL2eGCpL01EJe0mTHs+OwN301oABJ7sAk92l32uakFEECMbvZAqrkHrWd6wcaXzBSLyNHvHt3ieUZ9K7Q6Q64C2vAYx+AoQTpqLtoC1LvLyMKIJrzCS5mlIh+eTIDTC9fSjIfWj7aynImRnPc13KaFXCMaBWBKspRMs2eX9VCnOPSgekxmDSI16bZbNqHGMfXhHEvAW1rLwlqI4pBTt6OgoOjo6lAe40mia5sU5yaxvIhhlJK/V4qIWqVGIrZ6njsWSXqxvk91M4YUCkfC0TWOtQGi7j0gAad/QtzLgHYtBZgyUGoEY3QTm2OBtPdN+dt0wAoWOYrzAgqQHuLTPYrsC/1o/GoQ7LO2IYZu22KwhDllHYPXQBFYPpbB+LJMj28kALEqY6ElG0B2PoD1moDWqB0bf84NjeD46jiN37sHT68ewbiQTGMCWK9Aa1bFlwkKXb2BqYFjWGce60QyyjgjOM5ax8e8No/j3hjE8t3EMq7dMYHAsO2O7A28NA1zLhaYxWBkHI5tT4BpHvNWEHTMwmk3hpY3jGBtKQ4to+MsrW/CXV7ZgUYuJjmQE6TELVxy/J14bSeOZgTE8uW4UW9M2fvv0AO56bhCH77QIb13RjTcv78Le/W3452vDeGlLCs9tGsdrI2kctkN3EBbR0xJB3NDwzID3PTw9MIq9+ltzFh/5pa8nLActs4RCTEmsdJyytT1JCLhD6wGQt1PT0pjhBYwx8LYeuL4WsBjdDK29t97NmpcQka+CM+xpsfuweJsnCTlHDWbKpiAGXwFtftXz3AJe4ZSubcC7l3pe2iLw9IL94iq+MT7d6EauA2TGQekxL8Y9Ner96zpAasTbzRtc7YU6JLvA2nrAWjo947hC8xhjLCjxzVq6/MXFkKc/nxqBmx6rmcqKHEMcvyiW45dNr4aazHxFCgwU21/KAC4RwzQRiUTgOA5c/2euCWxCCJAQYCUkYs16zinG7+Kq3MBBFbfMOJBNBVrBEO7kj5/EBiJPA0D4JTV9BXVtlwOn9UqH1TIY494ANbIRvGeZZxAzDtq0FmLjy15CQ6wFYu3T3sDd3uNVyEpthSAx7QKAMQZN1+E6DhzbLsIA9v4tRSorZbl4bnAMKduFqTHs2puckoyVf/xrI2m8OpLG2uFUjgpDW1THktYYlrRFsbg1GhipRJ7CAgMCb+5f/rMZu/a2IGHq6EqYWDs86XVpMXXonGPjeBY79Xjbh1nHhcEZ1m9N4+aH12DDSAYvb57Aa1unemtcR2BiKA3HFkjEdCSjBjpaTPS2RbGkI46uZASH7d6LqKHh8l88iQf/sxnv2XcbHLZ7H+5/fhB/eWoAJ++7LfbYrgMP/WcTfv3QWmy3OAke1fHi4Bg2jVsYm7AwMJLBB374EA7Yvgv/7+DtccLeS/DYayP4y382Yd1IBr//90bc9/IWnLLvttitL4nDdliEnRdl8PeXN2PccvH75zbi4GVd2GmR9xlbIjr26m/Dk+tHMGG5eHbjOHbvS+aEtJi6hraYiZG0heGJLCK6BmMWxQ/OubeVadtwHCfQ+y4VqXACTfe2dht40coYh9bWC3fLq15hhUTbjFUgFaVDdtaTq5SGL2OThq82x/heOwvx6jOg4VBIUyQB3rMMrGubqno/maYDiXawRPtke+R8MjHsGaIjm7y/Rzd5oRiAZ1xHk2CJVk8Cs6XDiyee433CGPO829FEjs62GNkIlhkDb+2pevy9DItknAfFdKxsdkrJ9Hw1KUV5KAO4DGTsKELC92ak/BvDdZxJJYgKyKCQ60CMbPTaGm+f0ftZ0nlJeCvz8WGvSlt6zPPEzhofNgtCAAWMixwVAhIQW9ZBbFztCfH3bu8Zv44Fse55sN7l4Iu2AzMiEC1dEK/+24sB7lgMMbzB854IF7xzScG+0H0DWHqBpzNciAgZ34NbTMiCIwTWDqexfiQDglewYc/FrYibU289yxV4ecsEXtg8gcHxXO9qR8zAjl0JLOuMoy1qBMauLGvM5YDoH68x4NmNYyAC3rKDt32+e18S96/egvGsA40z9CYjYCDc/9JmPPLyFjy3cQwvbRpHS9TAkq4Ebnv0tZw2bNMew+6LW7FLXxI7LPJUF9ZvSWHDcBpbUxa2jGWxeSyLLWNZPPvaCF4eHIepcRy6ey8GRjI4ZLdefOTInbCoNYo379qD/2wYw9OvDOP0t2yPLcNpdMZNnH7gMrx5115sTVl4YXAcX/31M1g3lILtEu5/aQsefmUIH3nLDnjP6/rxxqXteGLdCH779AA2T1j4/gOrceb+2+F1S9rQ3xrF8Xv2477VW7B6KIX7Vm9BROfYrsNLWowZGnbva8W/1o9ga9rGC5vGsfOi3ITQtpiBtOXAcgUGRlLoTkYRM2YeMjVd96o9llltEEAQ08kiLU0RUkAhjyRZGWUAVxCRHvMcGUQA1zyjN95WkeuCxobgrn4sKKbCWheB9Szz/q2TYRWuCorOJZ5BnBkHjQx6RvDEVs+pktrqLbiw1nuhpgORFrBIzPfoRr1/faUHGJGS+oxF4tC6twNNDEOMbvYM4k2veAuP1p6qJsoxxoLiOdIIFsJX3ChwLOe8YHEtxewoA3gOhCe7mYym2QiXRdQrIOAtxjZ7RqkRmbPxS3YWtHUAtHWjJyEzJYMWXkhIJOGtno2oX3pV9+VwvFKaXnkwv1Rm8LfPNP3GGPNi0oY3eDFpAHjXNmCLloJxzZNi2rQG0DTwnuVB0gLv7Id45UmQY4G3LQIYhxheD8pOQGwdKOgJlhX8hC9pNd1CJOu4sF0BBhQ0YsNsnrDw0uZxWL77tjNuYPuuBGJG7kCcslw8vXEUzw6O5ZQt7k6Y2KYthu3aPTWIfA1bWX1UsnEsgxc2TWA0Y+PN23fhhU3j0DWGtVvTePiVITy/aRxDKRuX/t+/QULgxY1jSEQN9LRF8fy6kcCz3d0ahc6Ad+21GNt0xLG8K4Ede1rQHpvqbepuiWCv7WbWiB7P2MjaLnbub8Wi1miwsFnRl8Qrm8YxlrYB5hUXSfhe8bipYb9lnVgUN7GsM44zDt8RP3lkLR5+ZQjf/uuLeGb9KC4+cme8fpt27Lm4FTc/+hoefXUrbnh4Dc5603bYq78Npsbx1h26cb/mffa/vLgZ79ilB31+OEQyomPX3iT+PeB5m3Wewg5d8aCfGWNY1BrFptEMLFdgcDSDjvjs1eKMUKGVcoxgnuzyrtf/z957h8lxldn/n1tVnbsn5xmNcg6WLDnJOdvYGGyCl8xiwEtavMDCsssP8C4LmP3usuySowlLDiY5gnGUgyxbliVZWRrNaPJMT/d0rnB/f9zunu6ZnqiRJZk5z6NHUndVdXVV161T7z3vOYkhZLDylI0YllKqGZZ4GGCkiWkOxw2V0Nmf9WpHWTxWNs1aRdYZ6sY59Jy6T3iD6AvXq/TN6WwjOYzTexQn3K1m/UCN/Z4AIliBVlajUkKPgywKIZTkwReChsWqCJNOqAJMIqJ+e/FIVjYxlG8aLdnYpBmKCHt86n4VqFA643FsM5UHfhXCG1S/81RMySIySXUuTnA1WNM03B5Pnl/k9K2yIHgrF6Rh2zYiOwM1J5eYOk5pAvy5z32OX//61+zZswefz8fmzZu54447WL58eX4ZKSW333473/zmNwmHw5xzzjl85StfYfXq1fll0uk0H/nIR/jJT35CMpnk8ssv56tf/SotLS3HtX+5Jy/nOKvAhT/YqToRjAdpplRTCqCXzZz8yvgQTs8hZLibouFEd2WjjyvAr2xj8My+sbiUEjnQjhzsRKbiaPWLEDUtxVN+joMT7kJUNSEM14gkIj4E3kB+ylDzBqGySdmpJaNIw40oYduk5wjwBA8iiYx6APB7jHG1u46UHBpI0BVVdlpeQ2NxTYAqfzGRSVs2z3dF2dUzjJ1ln+Veg+W1QRZXBwiMQ7AdKTkaTnJ4IM6BrDwhnDTRhMimwQmeOjjAQMpECsG29iHSGZu0ZVMV9NA+ECeaMJGALix0Idi4sJqV9UFSaZuDgwlkwuLR57p4xYZmNm5QVfOMafHAEzvZe6SbC89cxllrFuXPVX80SVt3hKO9EY71x+iPJIjG02Qs1Vw4HLf4y/Z2KjSTRU0VLGmupHMwQZlP2bzVlnkZGE7jyTak5arrxwYTXLGukZWNZXz+1Wv45XPH+Pqjh/jz3l4iSZN/u2E1PpfOWzfNAynZ1hHhu08d5b0XLGRZtqJ7/oIqkqbN0aEk9+/r45Ur66nMnosqv5tltUHlJBFNIYBFBSTY0DTqy30MxtLEMxbhbGpcVWD8ZslcM+VMSbDmCyET/myX/yB6RcOU1nspofyJu9QsEMoKTQSr5ipQswDpOOrY5rxtA5VKhzpLx9YZ6MA5sgOQiIp6tAXrp0yspZnG7jyAdeQFnN6jk6+gG2g1Lei1rWjVTWiV9cdFHIXQVEOeNwhVTWqfHAfS8aw3cCrbdJfKW6mRSWU9iy1IW9lEvH5VPAHwBtAqmxA188Y4T0A2jbSqGScdV2TfymAPtKPXtL4kD6elPOpzBNhxnPw9S2ZnnQyXa8rBTi9HOI5TFEc/EU7po/Twww/zvve9j7POOgvLsviXf/kXrrrqKnbv3k0goCx3vvCFL/Bf//Vf3HnnnSxbtozPfOYzXHnllezdu5dQSAn3b7vtNn7/+9/z05/+lOrqaj784Q9z/fXXs23btuO2GjEMg0y2CpyTMUwXuTQ5O2uEfTz75ET71Ta9oSkFQoyGtC2cY3uRfUdGXvSXKy1iWe2sNiBMiFgYp+0F8IXQV5yPcJeYVrUykIyhzV+XfSGrF04OqypzweCkeYNQXo8T6cEZ7h/JvS9A4SAjHQdR4jzk5A+jq7g5OFKyq3uYoaS6AFvKvbRW+ovIspSSPX0xnukYytug1QbcrG8qp7VC+dO2DyXxu0pbof1hVw8PH+ynwufCJQQZ06E3nKR3OJ1v0ANwG5ryknccNKEkD5oQnLWgirPmVdBc5iWWNNl2OMyu3mEej6XJZByOdQ/T2xdHAksa1Pk+1NHL3/zjVxkYitFYV8kXvncPy5cuoqymkf3HBhmKTdwQ5wmGGEpU8okfPUUmmcDjDxCorqU1YPOdP9pcuK4V03bYenCA1fMq0DTBE/v66I4kOX95bV5v/bozW1hcE+Cff7eTZ46G+affvMAdN67F69J561mtWE4bz3dG+dYTR/iHi5fQVK78gy9bXMPde3vpjaW5d18vr1zZQDAbkVwX8uBIyf7+OJ3RFI6ULKkZ0RRqQlAd9OBKaQwlMsTSFpYjqZ0gMnk0CTYzmSk5jOSghWqw00dVlWsWmpxmE1KqB88cQdMqGsb1X53D9CClxAkfy8pgRPbYzl5V3ek9jNO+GwBR1Yy2YN2kxQtpZbA7D2B37MPuPjRS7QW0yga0mub8WCqtjGpqGw7jRLMhRT1HcHqO5NcRgQpFhmua0WvmIcqqj+ueIjRtpEpcav+lVPtspRU5TifUPsaHID4EqThO137o2q+OSdNSRAlLP80TQNTOVyEdZhp7oEOR4JOQxJg7XrquqxyBAgcJyzSRM2zOfzlASpmPRJ4Mp5UNWl9fH3V1dTz88MNcdNFFSClpamritttu42Mf+xigqr319fXccccd3HrrrUQiEWpra/nhD3/IzTffDEBnZyfz5s3j7rvv5uqrry75Wel0mnR65KYejUaZN29eSVuNnBH+VG20SiGXB44QM/YRlZkkdr96KtfrFk77pimHB7GPbM/b04jKJrSGRdOeGpsNSCuD7G/H6T8KmZTqAq5uRlQ25gdsZ6gH58jz6KsuyhNkKR2co7uQqRj6kk1FFeOiqpVuoNcuGKMLyxmS64YxZgCxHUlHWFkDtVT6x/jDSinZ2xujL55BF7CiPjSm6hvPWDx6eICOiKoOV/hcnD2vgnnlivh2RVP86vlO9vTGeM/mBaxuLP6tHR1McNfzx3ji0GC+wpyDoQkW1wZZVhdkXqUPv0vHshwcyyFj2gwlTPZEUmTSFvsPDdIZLm5sk1Kip4ZoKTe44tzVrF9ch9+AvnCMT/3PT+kZiOKvbWU4ZZGK9JMMdxNqXIzLG0AIaKoO0lpfTnNNiLqKAOUBN26XgZSSWDLDE4ciHBrIYDsSyzRJDg+Tjo0knLXMayRQVsbfXraUunIv/3P3Hs6YX8mnXrcOv6f4JrOrM8JHf/MC8YzN2Qsq+dyr1qJrgozt8OVHD3FoIEGl38XHLluaJ7opy+YPu3sYSplU+FzcsKqhyCKtO5pif786v7VB9xhNMKiI6P7hET13fZkPY4LmOCmlGkekRGga7mnYo9kDHch0HOErQ69snNI6JxrScfJyIhBoVU3q4XIOs4J88IkQ6FUtMypijAen6wBO514ARN0CtJZVE/4WpZSYzz+IdfiFvK0kgAhWYrSuQl+wBi0w/r1BeQkPYPe24fR34Ax05mcMiqC7EKFKtIp6jEXr0KubZ/4lpwlpmchID3KgAzk8oF4UAlG/CK1pecnjI21L3WdtE1we9Op5p4RWPxcFnCN/uq6jZ7XEf02wbZuB/n7qGxpeXjZokYia2q+qqgLg8OHDdHd3c9VVV+WX8Xg8XHzxxWzZsoVbb72Vbdu2YZpm0TJNTU2sWbOGLVu2jEuAP/e5z3H77bdPab9GN1DNpIKb/5FmdT4zIcBOdnARvrJpkV8pJbLvCE77i4BUKULz16KV1U57H8bbPralHCIcO5vYJkDX1XSYPlZTKQw3omExWsNiZHIYp+8oTtsLaOkE1C8aGXB0Q/lV5irEsTAyGUWEasZ0SCvbpnrsTEpVJqJ9Y6aXNU1ToQYlGg6SZjbuVtdKkt+DA8rfVwAr60P5afYcDg7EefzIIBnbQReCs+ZVsKpeuQ+kLYf79nTzp319OFJZh3VGU3kCvKsryo+fPsrjhwby2zM0warGMjbMq2B9Szm1AQ+PvdjLo3t6+eVfDhFNjp0Gcrt0MgWpc02VPlY0hWjbvYOnnn0Bt8sgqus8veVJAnXzyUhFYIfajuKvbsZJO/g9bs47bz27nn+Oxlqd//ePr2HtogZ8nsmHk2TGYihukkybxBIptu7p4qHtbTyy4ygd7V34yhP86BENl2Fw1RlNvO/qZXhKVNtXN5Xz+Vev5SO/3sHTR8I8tK+Py1fU4dY1bt28gP948AD98QwPH+znulXqHHsNnWuW1/Hb3d35xrc1DSODY0OZF10T7OmN0RfLUB80x5xDv9ugodxH73AKy5GEE5kJvaCFELhzmuDsLNFUpye1UDV2Oq4aOF0etGDVlNY7UZBWBnvwmCJDQqBVNc+FX8wipGMXBZ/MJvmVZipPfrXGZYjGJZPeY5zeNqz92wCyvusrMZqXIirqp3R/EkIgymvQymtg6Ua1H+kkzlAPdn8HTv8xnIFjYJvIoV7soV7sIy+g1S/AtWozWnXphuXZhDBciOoWqG5Rsr/OfarZrvsgjmWita4Ze2/SDfTqFkWCzTR2Xxt6dctJn6XJOUgAyqUqK43QNG3OSm0cnDYEWErJhz70IS644ALWrFEBCN3d3QDU1xd7T9bX19PW1pZfxu12U1lZOWaZ3Pql8PGPf5wPfehD+f/nKsCl4GRDFKSUM5Yw5Lo5c5qeGf1Ys/6N09FYSSlxjr6g/B8BUdWE1rp26powx8YZ7EZG+3DiUTV1Z2anmjJJZDqJTCVGvCVLwe1VJu5lVWgh1XQgPD4wVMOC8AbQW1dD62qkbebJrwhVg8uDE+1DC1RAOoHdvhvh8qBl9WGjITQdraIBZ6Bd+QT7QkU38ULbtdFIZNR38LvHnt9jkRRdUTVjsLwuWEScTNvh8SODHBhQ1cWagJuLF1ZT6XcjpWRHZ4RfPN9JOKEI67rGMm46o4magJv9vTG+/fhhnjqimmEEcO7CKq5b28iZ8yqRUnL/8118+Q97eOpAf5FHsCagsdJHbZmXyoCbqqCH6pCH5iof86r9+HTo6Ivww99v4fGtL+Aqr8d0B3Esk0T4EOmeTmpbFjGv2suBaBlXnreID7/tGhbWlxEKePnur+v516/fRdAtpkR+QSWt+dwG4APKWLeojltecQbReJqPf/sv/OqRvRzdn+SeO/6GxU0TN9etbS7njWfN43tPtPHL5zq4fEUdAAG3wXWr6vn+1na2Hh3iFStHbthBj8EZjWU8eTTMocFEEQEGqA16iKRMuqJpuobTYwgwKIu02pCX7kiSRMbCtJ0JLdJyNyDLNPM2e1MiEG6faogbHlBNOI6ttLYnQWfrpOI44U6lpdQM9KqmknrJORwHctICoc16VT1vc+YvR2taOqV1nEG1jlY3H89Fr5+V353w+NDrF6DXL1D75djIeARneAD72AHstl04PUdI9xxBBCvRGxYiQlVowUpEqPKE+vGKQAX60rOzGunnkf1Hkd4gon7h2GUNtyLBg4rA231tKq3Re/IfCHM2anbWR9gp0Aaf6NTZ0w2nDQF+//vfz44dO3jsscfGvDf6hE6lgjrZMh6PB88kTW05C7RCsmTbNsKyZiRC13R9xPJkJsitN8XpmNHkV2tekbUXm/wCcSJ9mHu3Ynfuz9voTA5V9c1bF+Q8gjMpVQkYOEYJjwkFtw+trDqrOWtBr1eWZ1r9Ypz2ndj97UrzKzT11D5B9UTz+JH+CuUPPNSDqFtY1PmfOzZF31dKUrkGuFHNaUNJk8ODyrpqUZWf2uDI7yaSMnlgfx9DSRMBbGguZ31jOZomCCcy/Oy5Y+zsVpX7Kr+L157RxLqmcoaSJv/xwF7u3tmNRJHZq1c18IZN82it8rO3M8odd+3k7ueOkUiPHLV1rRVcvraRs5dUU1/m5oVDvRzpjtDRP0x/d5gXX4zTPRijrSdK2lSynVjvURxLYrj81JT5uGDtMnbtsPG5Ne792ns41NHHbXcMURM0WLeoDstSn3fV+Wt4/+d+SGffEKsWl562vOM7f2RfWzc3Xr6RqzavwT2OjVhZwMMX33sl7b1Rnt7TxS3/8Uf++Lmb864QheiNpKgrV1XXG9Y18aOnj/Ji9zB7uqOsyBLadU3leIxj9MczHBpIsLhm5Ma0sMrPk0fD9MbSxNJWXiKRQ2OZl65omoF4hrTl5BvzCuExdLwunZRpE02aVAcnHit0XVdTk9mu7alXgWsAkXcEcKyMcjF5CadcneF+nNz0sMuLXtV8UnSPL3fIHAE+Tm/fUnAGOwHQqqYuL3DCqkCkN07tnjATCE1XBDdUhdG0FGfVeZi7n8BufxEZC2MdCBev4PKoe0Bl/YiGuFR/yHFAq25RwS4dL+J07FZNcuV1Y/fd5UWvmY8d7oRMEmewA04RPXxOG5zTBOe1wdlgjamcz9H3wFyRbzRONUKdc8+YCk6LUewDH/gAv/vd73jkkUeKnBsaGtTUZnd3N42NIxq53t7efFW4oaGBTCZDOBwuqgL39vayefPmGe2PzKXAZau9umGo1JasFcl0qjyFyFV9c5Yn011f5izKpnhzdDr3jZDfRWeiTUFnKFNxMjsewm7bNfKix68GpGClqty6fUrC4PYqhwhvQFWLjGL9Yz6GMh7BiQ7gDA8oj+FUQnXvmmlkWqVMkUkqHVl/B+x/BoSG3rQEY8kG9LWXK+mDdLK2O/qkx08rq8VODavpt+Rw3r5p9P7l/p82beUE9mZRAAC3GklEQVSaoImiap/lSPb1qWag+pCHpvKRwbh7OMUD+/pI2w5+l86li2tozNqAPd0W5hfPHyNpKjnEZctquGZFfZ5s3burmz/uVDegS5fVcsv5C2ku9/Lk/n5u/9nzPLm/P/85rTUBXnVWC9ef2YIhHH75yB7+4X+eYteRkWVKwevWWdZSjdbs5fEnt/HB65bzluvO5f/+uIUDuuRrn3gruq7R2lhFfXU5B472IqXEMNTA2lJfhc/jYjASH/czfvPnZ3j2xTZ++PvHaagp5/P/8HrecO25Jc+N26Xz7Y9cxxUf+TF7jg7wj1//M1/54NVFDyWfv2sXP338CN/+u3M5a0kNlX43ly6r4/4Xe/jN9k4+fo06jx5DY31zOU+1hXmybbCIAAfcBg0hD93DaQ6HE6wdVQUOuA3KPAbRtEXPcIrWytIPU2VeFynTJp4xqZTuoiCN0ch5e063CgxKCoFu4Ax1I1MxNeVa2TjjCuzoa2PysSb7cOgvz9oqzk2lnhBkY3hn++FCJiKq2QsQVVPXkjth5SWvVb506X5aoALPWdci11+G3XUQZ6gXOTyIExtCxsIqmKK3Dae3DZSiA1Feq+wuNV1J7azMSPiSYyMzKWQqrgouQkMLVaFV1qM3LESray0ZJiLqFiKSMeRAO86hZxHLN5e0+MvJIZyhHiVVGuoGxz7pcqUccrHsOW1wzrbVla0Sj77uHdvGztmuTaMQJzStKPEvF8iUC/d6KTyKczZxwJRn0E9pAiyl5AMf+AC/+c1veOihh1i4sHgqYuHChTQ0NPDAAw+wYcMGQDUxPfzww9xxxx0AbNy4EZfLxQMPPMDrX/96ALq6uti5cydf+MIXZrRfuScpl9udP7GaEOR+Lrknpeme8OP+gWQJ8FSqQ85QN7L7AABa69opkV/r6G4yz/5JWcwAevMyjKUbVRfwDG6K+RjKijq0irFP2DlIM42MhXEi/TiDXdg9R5CxMPaxfdjH9qHVzce98apstaxg27n1pUR2H0RUNij7HLIXZqBSVbdiA8rDdILjnyxwfyhc7vBAnLTl4DU0FlWPOAe0DyX50/5ebKkcHq5cWovfbWA5Dj959hhPtanKxoIqP2/e2EJDWXEV4zUbmtnXO8yrz2hmXXM5B7qHecsPH+e5w2o9XRNcua6Rv9k8n02LqznYOcT/9+0Huf+ZQ3lLNYAlTZUsb62mpSZEXWWA2go/9ZV+WmpDtNaW4XIZ2LbDHx85mzu++wc+8/XfsHxBAwGfh9d9+Mt8+Z/fwvkblrFp9UK+/vMH2b7nKBtWzkfTNCLDCWorQ8TiqfxxHn0M/+0Dr+G+x1/gZ/c+RXd/hLf/y7f42T1P8Yv/en/JanBdZYBvfvgVvOZTv+LXj+7l0vXzed0lK/Pn1LQdLEfy33fv4UcfOB8hBDeub+L+F3t4cF8v77loERVZ2cJ58yt5qi3MtvYIr1nXhLdAS7yw0q8I8OBYAgyqChzti9EdTTMv68wxGl6XjqEJLEeSSFsEJ0j2A1WVyfUKWJY1rS5tzV+OMNwqEcw2sfuPIoJVaMHqkj6r0snaPjm20tgXkCohhPJwzSXOGR60sppx9bwiWIXm9s7pfU8wRirAs3tbdnoOAaqpeaohJTLrtQugnYR4a+HyYLSugtZVI/vk2MhIH064Byfcjd3XjhxWaXF2pG/K23YGlPbYOvAsePy4z7gUY/7qomWEEGita3DScWRsEPvAVvSV55c8fkJoSlanG2qWJtqnNPKBiSVcLxUK0+XMTEZZM2Yy+ddzkk0rm2A5E0jHGeO9LAEcJz+rqxvGcafmjoecEUEOmfTUZqVPaQL8vve9jx//+Mf89re/JRQK5TW75eXl+HzqpnTbbbfx2c9+lqVLl7J06VI++9nP4vf7eeMb35hf9pZbbuHDH/4w1dXVVFVV8ZGPfIS1a9dyxRVXTHufBErmkDOczt8Yc38fRxNbLtpwxs1006gAO8dy3cAL0WpbJ13eOrSdzLb71ToVdbg3Xo0+jWrC8UC4PIjKBrTKBlig9N9OpA/rwHNZP8o2Un/6Id6LX6+WGQWnaz+yaz8iHkZfctbIdgMVEBtQFWYzDW7v+BXg7LR/IYnK2A7dw+pCW1obxMhaYg2nTR482IctYX6Fj0sX12DoGlJK/u+ZDra2DyGA61bVc+XyupJ+wi5d45OvUIN//3Cad379Cfqiyif3defN522XLKIpW5l88Wg/r/3UrxmIKleHs1c08vpLVnHtOYupLvNh22pGQdPGZqRnTAu3y6As6MW2HX79xQ9wzQXriAwnuPVf7+TTX72Lb93+Dl592Zn84HeP8d8/uo8v//NbCAV8/Ozep7AshzVL1bRqqd/8leet4crz1vDZD76O//rBvXzyy7/mnsd2cO9jL3DDpRtKnu9zVzXzjmvP4Ft/3M7PHtqdJ8AA77lqGT9/oo3tR8IcG0zSUu1nZUMZS2qDHOiL8XRbmKtWqhu28l52MZhQEpWV9SM2SS0VPsjKIEpdr9UBN/RB2nZImk5J3bcQgoDHIJI0SZr2pAQ4d8MxMxnsrExqOuOEcPvQa+fjRHqVn3VsEOkJjJH7SDOlZlOyseRaeR34K0Yq6ZkkTqRXVXR9QRWbPtCBqGkt7YMqRElbqDnMMuS4ArDj22yWHIryqTc158gvQOb5v+Bec6EKOjqJEJo+ch/gDAA1I9J/DBmPZBNFddWMpunqnqzpCJdb7btugG2p2cb+DuzOA8hkjMzTf1S2bMHKUZ+noS3eiL1nC6TjOB0voi8sPWYJIdDLarFBkeBIL9K2VW/LKSIR0HUdzevFMk3lG5y1TtO83iLrME3X0Quil3MoHCcL5RD5cI7sciqgSeRft231u7YtS4VMzXJTXs79ohBTlZGe0gT4a1/7GgCXXHJJ0evf+973ePvb3w7ARz/6UZLJJO9973vzQRj3339/3gMY4Itf/CKGYfD6178+H4Rx5513zrhZLZcaNmY6P/v3dG9soz6Aok6mKUJKZySSeBICLDNJFWGMQGucvCHCat+TJ7/G0o241l16QqMgpwKtvBb3xqswVpxN5snf4wx2kXr453gvvnnMlJ1W1YzdtV/FaSaH836RQtMRbp+qdpipvJYsd3EXa7vVvwstr3JNawG3nk9Jk1Ly6OFBTFtSH/Rw+ZIRD9v79vaytX0ITcCtmxewukTlcTRsR/LRHz1LXzTN4vog37z1XBoqRkjKvo5BXvOpXzMYTbJ2YS3/8/dXsbK1pmgbesE+DwzFuPfxF/jDw8/xmz9v4yNvfwWf+cBr+O5vHmX1khauuWAdiWSa8pCfW266iH/4wo8ZCA+zcfVCPv3eG7n19u/x6r//EnXVZTyz8zBvfdX5nL128aTfw+0y+KdbruexZ/dx/5ad9IdL2CEVoKlGnaOqUDEhqy3zEvQYDKcs7IJBbl6ljwN9MYZTI84XQgg8hg6YjH7GMG21rs9VemoulX3g0QR4XRM0uOXXndo1m3toziU4TbdXQGg6emUjji+kfsvjyCCEy6u8hAc6xkSoOrEwwuVGC1SoKdxyL5aZwokPoRnuU8LS6a8Rwu1HxoeQqfiMiyglt1vdjOw9gtNzGDFOFPyYdSrqMZadhbVvK/bhHSTb9+BacyHGkjOntV9SOmBmkJYJjoVweZVMLve+bWF3H8bpbweho7csm1ZhRXiDGC3LJ1+wAFpFPbSuQq6/nPSjv1RuFweew73+srHbN9zoizZgv/iYCmWqn9gWVAvV4KBIsIwN4GSSaBX1J90hIgchBC63GyMb0JMnvgXSAfc4Kahj3DAK+2Ym4ANGtqA3uinP5XKhz0JghxAiz5tcbve0pBunNAGeikWxEIJPf/rTfPrTnx53Ga/Xy//+7//yv//7v8e/T7n9kjJf9R3duKYdR5CFyH7GtElw3pxcqBCICSCj2emiQEU+Png8ONF+MlvvAcBYvAHXGZedMk+0kNWMXfR60o/+Amegk9Rjv8R35duLqhXCG0BUNCCHunF6DqEvOGNkA4ZHGaNP0MgnpcTOno/Cam04obwxC71+2yNJOqMpdAEXL6rOk98dnRH+sEtp6l6/vpnVDWVIKRlOW5RNUDn8xgP7eGp/Pz63zn+/fVMR+W3rifD62xX5Xbe4jp9/8kYqgsVTdMPxJL9/eDt3P/I8Dz+zh77wMK0N1Vx81gq++al38IoL15HOmPg8LnbsU3pwv081EDz67D4GhmIsmqfkKddcsI5Hf/AJvvGLv5BIpvnaJ9/OZWevZDooD6pqZSI18RTV4S4l9SjlBDGi8Bg5F7lGtli6uBKQI7qjXRqiKbVcyFP62Ocebsq9rgm1vSOY2jUhhFA9AzPQAhdC8wZhHKcA4fKOTNVqOtKxivV5VloF5ehGnmhpngBOOq4kEXME+KRAeAPqnuJYSmY2Sy4bWuNS9SCUjCJ7DiEaJn9gFULgPuNS9KYlmM8/iBPuwdz+Z+xj+3CtPA+tbv7kjebpJJntf8buaQPHRugGWnUTxrKz0GuaFfk6uB3r0PNo5TXKx77nCK6V52G0LJvVh4CS31HTMZacSaa3DbvrIJQgwKC076KyCRnuxDm2F33p2eNvM1sJdgw3TqQHmUlg9x5R4R+BiikR4RzvOaHffdRsVA6zQUhLfVZhU56ZlZCappkvJh4vDF1XumMhkNM4bqc0AT4VoaaSNTKZDJqmjVR+swQ4Z2d23J8z3RVy8gd98upzzvBblNVMvJyVIb3lLrBNtLr5uDZcPqOLUkoHa7APs+soZnc71kAP0lTkUfP60AJl6OVVuGoaMeoa0UMV02oEES4PngtfR+rBHyGjA6SfvhvPha8t2letfhH2UDdy8BiyaflItdflUce60Og9N72TPbd2wcOIXtCQFc767Fb5FYlypOTp9iEAVtWX5YltOJHhR890AHDx4mouWKRimCMpi0/9YRefeeVqQiVI8DMHB/ja/fsA+NRr17GoYAq/ezDGzf/6G7oH4yxrqeKn/9+rS5LfN3z0azz3YhtXn7+Wz//DzWxev4T5jdVjfqNveeX5XP7OO3jDR7/KZWev4skdB9m68xD/+Y9voLJs5GGitbGaf//71457LiZDwKduAPFkZsLlDnYOAbCwsWLMe5JctaJgu1mJQjxdPI2cyRJg92gCnCXKZePYt+XObaV/ajrd6VwVhVpg27Ly3p2ziRx5ELo+4r2dn7YssbeGC1IO0rYRrqk56cxhdiGEhvAEkalhnOQw+iwRYGG40VpW4bTtwOncp3x8p2izptfOQ7v8rVgHn8Pc8TBOXzvpvnZEqArXinPRW1eNPxuoaegty3CtOAcRrEAm42S23Yv5/IPol78FZ7AL68Cz6K0rca+5EGmbZLbeg7XnSfS61ll3dxjv+wHZ5uvYuMdFa1qGHe5Sdp/h7pJSu6Ll/eUIt0+R4HQCGQ9jx8NKj+/2Ity+bGN41q3AyuAkh1XAjJlSD0Iur9qOr+yEXIuFs1Gg8gxOtFdwrsKcMxHIZDIq+Os4P7dwDH3ZVIBPVbjc7hGT6Wz5Xc/67p0saUC+gWIK1RuZ6wgOjq2uFcLc8TByeBDhDeI55/ppNbrZiRjxpx4kfXQ/ZudRZCY1+UoFEB4vmseHFizHqKzBqGsisOF89FBF6eVdHjzn3kDqTz/E6TmMtW8rruUjT+oiWAnBShWx3HcEvXmFej37RC6tsYQsR3tzTWV6Vv4CikBZjsTQBKEsiTrQH2coaeLRNdY3qWkyR0p+8Ew7CdNmfqWPm9aN+BOXeQ3aB5M8cqCf69Y0YjsyX2Eeimf42P89iyPh1WfN45WbRtxPBqJJXnf7bzjSHWF+fTk//9SNY6QCAKGAj+//+7upCPmLZBBjvqeUXHDmMu760gf51Z+2cudvH2XNkhb++2Nv4pKzVoy73kzg96oBf7IK8N529ZC2pHnsbzT3PFJYmQ3kKsCZ4gpwxpqYAIdKEGDbkUSzUopK38TktEQxelLkHCHMbNOJrusnbtzQjOzsUG5PpXpycEbpTYUGiBOmQ53D1CB8IWRqGJmKIctqZ1EG0YIIdyKj/dhHnkdfdu6UpS5CCFxLzkRvWIS1bytW2y7k8CCZrXcj9j6tKsUNJbxyXR6M5mUj/w9WYLSuwtz1uHJmyGqTXdmQDKG7MBatJ/PcA9i9bRgty098FdjtRVTUqSCOvg6MeaXHO+ENIBoWqYCMoztVMukks6fCcKNVteQJsMzOsMikWZCIl5/zLYaUyvkok4TYIHpFw6z7bguhkmvtrJvVS/XAK4TA5XKRybpdmaaJaxoJmbOJOQI8A+RuYIX6vZl2T84apugAIW0L0sqzdiItk0wnsA4+B4D77Oum1QCR6TjEwM++hlMQc4vhwlXfgrthHkZdE5pHCe9lOoU9HMEe6sfs7cQa6FHWNekUdjqFHQ1jdh6BXRB77D4qX/12fKvOLPm5WnktrvWXYj77AOaLT2As21RE2rW6hTixsDKFzxJgclNSjqVs1ESBJjTLtBwnV3EcuUCHs1Po5d6RivuhQWUHtqo+lLczax9Ksr8vjksXvO2s1iIJhSYE5y+u5vGDA1y3prFoGLz/+U66h1LMq/bzzzetKfqeP3lwF/s7BqmvDPCLT99EQ9X41ZzqiskrPbn9v/bCdVy1ec2EZPl4IKVk/1HVyDrRDMddj++jP5LE0DVWtFYXvXe4N0Y668jhLvDnzbl05AgvQDRlks7+f7SON5Vdvtw7dgjsj6dxJHh0DV+JFLpC5H4b0x26NV1HZKvApmlO2bdy2tANJe/JT6tqyvbJHv3Al7sRz1V9TyZUs6FQRCmTmLXmQyEE2vx12LsfgfgQ9v6n0RdvnJY2VQtW4D7zSlxrL8I6uB1z79PIaD/m7i0lCXAO0raQmSQyEcXuOojeuBjh9uIkomC4EB7/yNjr8an/Dw/Oxtee2vcKVWEP9eJEJ7aN1BqXYoe7IR1HhjsRtfMn3bYQQt07vQF1HMw0mEl1PDKpkb4d1LkXvpAiulIiUzGc2CBYGezBTvQpevRPBzku81Ijp0XOpNN5yzUxC1KI7ManvOgcAT5OjHlCnUED2+jtwQz0P1NdvlArPIHhujOU7RwOVqDXT36h55BuP8jAj/4HmUlh1DQQPPcK3C2LMGqnZt4vpYOTTOAk48hUEjsaxgr3kdz9LOaxwwz+4huUXXETofNLR1gbC8/A3PGQ8hCO9CMK7NWEL9t0Vqj3LaxqOzboWv5Y5s5kjrQWNl3lyJdpj5xv1XBF3g0CILd1v0unLjSW5Jy9oIrP379HfU7BKcw12y2oDearmzm0ZBvEmmqCtNZN3kg3HZwo8gtw14PP8sATu3C7DP7mmnNKLvPi0X7+4SsPAPCeG87EX6DRlVJy+y924Ei4YEUttVnruIzlcN9upa8+e8GI/+ZjhwaRKKu50TrrK5bW0hZO0DTKfs6RkrZB5abRWO6d9DrMxWOXimueCKNvAPYMEyQn/RzdhRxV1RVuH05sAGmmR1IjbVPpNAsaQefw0kNoGiJQrmJ5o/2IGv/sVYHdPrRFG3EOboPYIPbeJ9CXnj3tyqJweXCtOAdj4TrMF7eg1bRMuLzdtovMtvtA09HKazBWnDvyphw1XW24lG59yuFKxwdpmdjdhwHQa0onveaQC+2Q6XiRZG6qELqhpH3ZYpKUUl13QoA2VrooXB6Evxy797Aq0KTjU5aunA7QNE2Ff2W9h2dDCzxdzBHg48Rs3igKnQdmSoDl6AFlNHKRxJNMeTiRXoCSCTjjwRrqz5Nf94JlVL/h/Wju6VW2hNDQ/UF0f/ZCb14AQPDcy4nc90viTz9I9E+/xj1vMZ7WJWPX1zS06macniPY/ceK/YVzU1aOrZ44czYvWlYnmfNMzS6e10ZlSaEjycsU8ppT084/BOWqiZGCRqwceY1n7JLTeasay0iZDp1DSZoqfPllasvUcesbHisdWb9EuVzsOtxPxrRxT5N8nQwkkmk++p8/BeDDb7umZHJcMm1x63/eQzJtcdG6eXzsDecVvX/X1na2HhzA69L4/16zLv/6A3t6GIhnqAm6uXSZsnqyHcljh5WM4pIlY7XumhAsrBpbXeuKpkjbDm5do7lsYg1ixrLzD0D+cRLuJoKmaeiGgW1ZmKZ5YszidUM9lBc8mAtPAJJR7KFu9MpGpG3hxIcQbn+WMM/pf08mtGA1diICZkrpUn2hyVea6rbLahArNmPvfxpSMUWCl5w1o88QHh/u9ZdPupw+fzW+luXITApr/zNknvy96tHwBUukiGZdkMaR2znDA1gHnsv+O4yMhxV59PrRKhvRGxag1bZO+fdrHXoezDQiUI5WN7kdaE5iKEdLiGYAIcTIDOR4y+gGwl+uJBSJyLiNr6crdE3DsW0c24Zp9kLMxjg1F+kzS5jt28X0CXD2VE5Wgc57BU98w3ay+ixtGt6R0b/8DplJ4WpeOCPyOxGEplNx7c34158PwNAffjSiex4FvVqRK2egY9QbBRdY4RRwblDL+hUWejqDIku55jcrb5+l1rEdmW+0yulJC624gtnYZMuR+en4QlQH3Cyo8vPYQTX9lnM4qAkp8tUfHVsJmV9fTmXQS8ay2d028bTdqYL/9/17aOsaYF5DFR97x3Ull/nXHzzKvo5Baiv8fOW2a4os5zoHE3z+LpU++L6rl9NSrdwkHCn56TPKveJ1Z7bk3R52dEaIpixCHoP1zVOrktuOpH1IVX9bK31FkpdSiGf1xj6XPumy4yFvmZj15JyK882U4Ng4qZiyPHRsnGgv9mAnTiKCMFzo5fUI3cDua8MZ7EC4vfnAgznye3IhdAORDVFwhvtn7zeR274vhL78PPAEIJPE3vvECZUcCN1QEcbBClxZP2Hr6G60ygZkJqVs+bL3L6EbyOFBtFDpJDX76B6sA89iHXgWp+cwMjaEjPbj9B7F2vsU6Yd/Ruqebymd8iTHzYmFMXc+CqAa9abyu8/NYs4CAZ4qctHKMhV7ySrjLxVyVd9c9sFkyNm2maap/mRdLGZ6jcwR4Bmi0Ex6tpDvXixotpoy8qRtkh/RFJvlpmuebvZ0kNzxNAAVr/ibWSW/hSi/6jVo/hBWXxexLQ+UXEaryRLg/mNFrwtRIPuwCvxicw8DOR11gdNDDkZWn2Bmz5EmRJ4EJzJqvbLsdP1wQQXYbWi4suvGMqUHzbMXVPH4IVWtzH1iTbYCPBhLFyW75fYvVwXefqCn5DYB7t+yk3d/+rscbO8dd5mXAgNDMb74g/sAuONDN+dt1grxwLbDfO/eHQD8z/uvorZ8JNzBcST//JPtxFIW6xdU8taLF+Xfe+xAP+3hJAGPzivXjviHPpo9nucvrMKYYoNZZzSFaUu8hkZ9CblKIRwpiWUfdILjWKlNBTkpBDBiETQLY4rMJHEGjymv4JyOVNPzKWPC5UGraECvX4TRuEw12cxFHJ8y0IJVqqhhZZDJ6OQrTBPC41ckOFChkgX3P4UzeGzS9aaL0TOaMh7Jui0E0MqqEYFyzN1b8rOf1qHnkWYavXlp0Xr5/S6vxVhxLsaKc3GdeRWeS/4Gz0U3q2CmBWvBcCPjQ2Se/iPpx3+NTCdL71fWcQLbRKttRV94RsnlRiMv47NfOgIsXJ689MHJWZi+TFDomjU6zKIUco3DObKcI8SZdHpGY+fciDcD5J9CMgVVxFG60ZluF5ii72gxxBQrwPmpmwn0NlJKnIgiEFr5xFZpOUQfvAuQ+FZtxN20YErrzASaL0D5Va8BIPbkn5XB+uhlqhoBgUxEcRKjAhdyU07W2ArwGAJcsFquspirAEOB9VaW2Ia8OScCu4i05qrA8XTpC/zM1gp2dEQApQO2HUm5340mVEV4MDb2qT9HgJ870F1ymwBf/MG93Pnbx/jNn7eNu8xLga/89E/Ek2nOWN7Ka67YNOb9/kiCD331TwC867r1XLqhWHP+o0cPs/XgAD63zmffsCFfGbZsh289rvR7N57RjD97nLujKfb1xREoAjwV2I6ko7D6O8k1mEhbOFLpw30lUuKmA03TRkiwbc9KJVjzhTCalmPUL0KvbkGvakavqC+KMxaaPhd6cYpCaDpaSDWAOtH+aVk7TfkzXB7lBlFRD9LBObwdp+vArBV1pJSYLzyM3duGPdCJ1bEXc/fjYLgxmpaC7sK15iKcgWNktvyG9KO/xGrfg3v9ZSPa9FEwWpbhXnsR7rUX4Vq8Hr22Fb1+PsaiM/CcdS2+V74X15oLQdNxug6SevBHOLGhom048QipB/8Pp78DdBfuTVdPveA0qljyUkErU4UomY7jpGIv6WefaOS8hycrKOakEm63G4/Hg8vlwsj+yWmJrWmS4DkCPAM49ghRGnPhHMfg4RR4CU8bU60AT0ECIZPDSissNBUXPAnsaJjUvp0AhC571VT29rjgW3s2enkVTmKYxAtPj3lfuDyICjVgOIOdxW+Wsj0bT9dVVAEe2/SWi8fNVYB9hlYQh1yoA1bLjbboymFNUznvvXgxiYytTMM1gdvQqAp6QJSWQYxUgMev7t6UJZs/v++pcZc50RiOJ/nKT/4MwMduuW7Mb1tKyT9+/UH6hhIsn1fNv7z5/KL3j/TG+O8/vgjAP96wivm1IwTutzs6aQ8nqfC5eMOmkQaWR7LV37VNZVRmQ0omGxQ7oyksR+JzadQFJ67+SjlikxbyumZFMqDrelElONccN4e/XohAharYO5bSup6Iz9B0tEUbEfXKxcHp3IvT8eKskGAhBDIVJ/PMfaQf/SXmzseUpeYFSv8rhMBoXop74zWIUDVaVQPudZdgLFw3+cbH+0zDjWvleXiveCvCX4aMhUn9+YdYR1/ESUQx9zxJ6r7vIod6we3Dc8FrxkQgT4iTIIEA9b1OpCzmZKKw92EiNy3bcVTjXLZinKse67qeJ8PTnZWfa4KbAXI3ptk2jc5vdybdkFPVAGclEBNVfmT2iVkEyqbkT2pHwxjVdWj+IK7q+kmXP14ITSdw1iVE//Rr4k89iH/95jEkRKtsUNY24R4oiMoUhisbfFFQOc4PatljU7CtnNDepY2tAPtduUa4kfXKPAaDSZPhtJWPRx6pAJceNH0unddsaEYTgqFEhqfbwmw7GkYv9xByCfqiKVZSbFmXI8D7OgaIJTMEfWObKW68fCMfvOP/2L7nKLsOHmN1icazE41v/+phwtE4S+fXc+NlG8e8/4cnD3DP0wdxGRpf+eDVeN0jQ5LtSP7lp9tJWw7nLavh9eeNVIYjSZM7n2gD4B2bF+SbDdOWzdNtiixctGjEQm0ikmoVVH/nVUzedZ8ybUzbQXB88ofR0HUd4XaTyVaAM+k0hmGgH0+0+hxOWwihqWjdoW6c2CAiUHFCKvZCCPSWVTguryK/vYdxklG0+esQHv/kG5gAnrNL6/1zkFKi17WiT6UBbRrQymvxXvZm0o//CifcQ+ap3xe/X92M+9xXovmn6aKjF98rXkpooWrsxJByOMokj/vcnCoo9EW3LStPakdD0zRMyxrXMUfXdWxNm9ZsyVwFeJqQUmJnK8CzadtR6AAxI2I93QrwBElr+aCMwNSejN0ti6h73+1Uv/H9U1p+NhA48wKE4cLs6SBzdP+Y93MNPc7QqAppTgJR0ASX9x8s8VQ/4gSRfULNmncDBLJkLZEZeerMySCi6RGCXSqkwXYkh/vjHB1UnsyaEESSJt/ZcoTP37eHjOUQdGm4vS76h8dWgOsrAzTXBJESnttfWgZRUxni2gtUNeX//rCl5DInEo7j8I1f/AWAD7/12jEWa9F4mk9852EA3v/qTaxZWKw3//Fjh9l+JEzAY/CvN59RRAK/+shBhtMWi2oCvGLNiPb36aNDpCyHuqAbn1vn+c4Ijx4e4PBgnKRp45R4QOyMJAuqvxN3ZUsp8xHYQa+ryNd5NqDpOh6vNz8G5PRt1nE0epxKcBwHK9u8kmtiyaTTpFMp0qnUyfdTP8UgfGVqzJKO8oQ9gdDqF6EtOAOEhhwewN71MHb7LtVIeYJwQkMufEE8l70Z16rzVYFICERFHe6zXoHn0jdOn/xCfuZUvoQa4ByEpiN82Ya4E/xbeKmh6Xp+zDMzmZJShpxtmmVZ+ca3Qt4kpcSRclqhQnMEeJrIDdCjI4+P9zIulD/MTAIxsi8T3iidyZvgcpopLVgx9Y8XAs370j2Rar4AvrUq6S2585mx72ftz+QYAqwqdhNJIEQ23a9otQIrtJy81+fSENnXUlmHh3wjXGrkRh7MSiViBRXg4ZTJ1x89xN6eEY1yuc/FNasbqAq4edu581lTE0QIONhXWvN17ipV0X1i9/jNK2++fjMAP/7jE9j2Szulfv+WnRzq6KMi5Odvrh3r+/u5H2+hJxxncVMFH3zNWUXvHRtM8KW7lT/yh1+5kqbKkd/W1rZB7tvdgwA+fMWyvOxESsmjB5X8YX1zOU+0DXJoME4iY/PggX7u3dvL4cFEkRuH5TgciyirudbKyau/sbSFaTtoAspLVN1nA7nGOFfWFkhKiWWapFMpMun0cXU9nyxIKclkya6VreLY2b+d7EOllFLp/OakH3kIIUb0n/HwuM43swWtugV91UUqNVM6yN4j2LsewelvP+1+c6BIo2v1+fhe/UF8N96G78q3YyxYM2PiLXKFI3ts78lLgZxcQ6bjJdNLT1fkxrzCB/90KpWXm+aWybnmmNnxMFc1Nk2TTDo9bf40R4CniVynouEapf0rcA6YyUCRO9EzllUUhXGMfwPJ61wnkkAkVEOWmMkT8ksI79K1AKSP7B3zXq55T6ZiRTHMQs81wZWSQBRcbNm/CxsTc9U+0x55WPGN0gHnrNAGkwVWaNnXego8fSv8bg72xygblUS2qCZA0GPQHU3RWOHDMm22HB7MJ44V4tyVigD/+M+7OHCstEbwFReuo7IsQGffEB/+j5+8ZDexnQc6eP+//xCAt7xy8xjnhx//eRd33qdcH+5492VF0od4yuIfvv8MyYzNpkVVvO7cEelDXyzNHfep833T+mZWN478Rnd1D9MZTeHRBdGMxZnNFbxqVSNXL6/jDetbCHp0HjnUz/Ndkfw6nZGc9lenNjAxoXWkZChb/S33uWe9+lsIIQS6YeDxeovGmpxThGWenBvwTCGEyF9TuUqOXlD1yf0/l4w3R4JHIDwBcHlBSpyh7hN+DQtvAH3ZeWhLz1EuEY6F07YDp333aUmCQUnfxATBT1OBlM6IteZJkECA0gLjUhaZI3HKLw/kSHDheGeOGuc0TVNNcNlxESmxbOXrr2W1wNMZlecI8AwghBijQRmtG50ujkv/q/Zg5J8TEGBRwgZszDLZTnGZPLW7Tc1e1eCmV461aht5OhYjARgUBIUUVMyFyBHggljKElZornwj3MhyZVlyG8k2ReWSxbqiqXw875osSdvRGaU7OkKC51f5eaGz2OIoHM9Q7nUxEM9w7YZm7LRNz3Car92/b8x3fNX5y1jaXEn3YJzr//ln/PnZI2OW8bhdfO6DrwPgqz/7M7fe/j0y5okdvH96z5Nc8JbPcLR7gEUttXz4bdcWvf+9e5/nQ1/9E1LCO1+xngvWjjSwZSybD3xvK7vaI1QG3PzrzevzHrtJ0+aff7uT/niGBVV+bjl/QX49y3H49Q71ezhvYRUeQ6PC50LTBI6U+N06Vy6t48KF1ezsjvLY4QGklPRmHTZappD6FkuZOFIFoYS8s6f9nQi5qofH68Xt8RR1TNsnYRr2eGC4XLg9HvUne6ODkZuay+3G7XaDlFOyRPprgRACvbwOEMoFINJz4kmwEGhlNejLN6M1LQNA9h3BOfjMCZVEnKqQ6Tj2nieQWQIsqidOjTth++HYIw5G04ixPl2QG+9yDcHjFRRzy7k9Hrxeb37GTNO0osTWyTBHgGeAUiRVCJF/fbo3JqdAVzrTCnA+0UxtcPwFc0+P5tiEsRxy4RensuegtC0SzyoTc9+qM8e+Hx+pYhc1juSmEAurAbljXpjLnn2tUFDvzhHggin08iwRimQrvhU+FzUBNxI40B8HYF6Fj7WNZUjg97tG9LqXLa9j29EwW9tG9FwP7++jO5rijOZyljSEeP9lS0klMnz1/n3cu73Y0aIs4OE3//ZazlzawFAszZs/+1v+6xdPjakWv+Omi/j27begaYI7f/sYl93yeY50zn6ARnd/hL/5x6/y1n/+JolUhsvPWcVjP/gETXUjWvKv3LWNj3/rIQBuvX4D//aOi/LvJdIWH/juVp7a34/fo/P1d5+Td30wbYfb/7ib/b0xKnwuPvfqNXnbM4CHDgzQG8sQ8hhcvrQW05b0x9WNQhMib0u3pCbI5Utq6YgkOTqUJGk66AJqJ3F+cKQkmj3H5T73SWlK0zQNl8uVf/ieruXPycZo2RioG1zheCqyDTCFY+IcUDHGlUrrLhMRnHDXCbFGG/O5QqA1LkVbdKbSBkd6sXc+hH30hQnvIS8nOOEu7N2PQWIIdANt4Qb05uWTrnciIOND6j5luF9WscijMd2CohCiSEY1VcwR4BnAMEo3kOVuTM40rTjsAvnDcd1YxVgiN2aRLAFmgsFLZOUDTmRmJEn9EE/s4JzY8RR2NIwWLMe/5qwx7+edLEbrmLPaLVHYBFhw3MYYt5eoAGcKKsDlWaeHWMbOO0Qsr1UD056+4fz6N6xpQADPd0Y5kNX0Xry0liW1Qf7t7hf5xO928vYfbOWbjx3mmlUNtGQ1r2++cCE3n6U6pD/+4+d4JqtxzaGm3M9v/u01vPWqNUgJX/jpk3z8238ZczzeesP5/OqLH6Ai5OfpFw5xxms+wSe/8mvC0fiYZaeLcDTOv379Llbe8E/8+k/PoOsa//yuV/KHr3yImkoVsSql5DM/fIx/++FjAPzDa8/m02+/MH+co0mTd33jSR7b04fPrfPld5zNmnkVgGoY/Nx9e3jy8CAeQ+MzN6ymsdyX//wjgwn+kH2weOXqBir9blbWBdnaHmZnt6qw69lKMEC1340mBEfDqgGxNuiZVM4QS5nY2epvTtJysmC4XJAd8E83KUQhcjetMa9nSfKcDKIYmi+EVtEAgEwNYw8cfcl0oFplowrOCFapcbLvqCLCh7fj9B7BifQik8MnXKOcg3Tsl+SznL42nEPPKslDsAp91UVoVU0n/HNLQTo2TtYOTwtWv6ydYQq1vNPiUrmZoykemzkbtGlijPa3ALnqRu7GNNGyOciC6T59HGI9ZWga2OpCGfdTcwltmdS4WdpaWTb8Ip1ApuIIb2DMMjlIKZGWiRMNo4UqwLbQfAGk7YCuJAeznTAlHYfY4ypZLHjeFQhj7HS0k3WyGNPIl68AlyDAkM2hL33xuYycBGLkCdNjaPhcGknTIZKyqA64WVwd4OmjYSIpi67hNE1lXhrLvGxeWMXjhwf59QtdfOTSJQQ9BrddtpSGMi97e4Y5e0EV/3LNCpbWhYp2+SOvXMXRvhgP7e7lfd95mjvfu5mVLSO2aB6XwRduvZwNSxu4/fuP8uYr1pQ8btddtJ6tP/00t3zyOzyybS+f//Yf+NKP7ufmq8/mpis2cfGmFfi8U5tWcxyHJ54/wE/veYof/v5xEil1Iz5rzUK+/C9vZcOKEd2uadl85Ot/5md/UX6+//Lm8/nAjSOBGIOxNO/6xpPsORalzOfia+86m/ULVICF7Uj+44G9PLi3D0MT/OsrV7OmaeS7D6csvvNkG5YjWddUxrkLVLV5eW2IjC3Z3x9nKGmyuj6U9wR26RqmI4lnbAJug8asbGXc7yplvsJ/sqq/hRBC4HK5VAyobaONYwt0OkCUsC3KNaFKx5kwsOevEZq/HKG7sMOdYKax+9rQKhoQ3uAJ/12KQAXG8vNwhgdwOvZAYgg5eAw5OkFOd4Hbq2y6PEFEsBIRrCo5Ts8UsucQTrQfHAetsh5R06r0sbO1fengHNuL7DkEgKhtRZs38+a5494f28IePKb6VHQXwheafKXTHJqm5ZtkpzK+2ZaVNymY6ng4R4CniYkObP7GlI1Jdhwn38wy3np2QajG8foKC6Epj9uJqq+5CrB0FBksMSgJw4UIViJjYZyhXvSGheNuzo4MEP7N97AGenA1tuLEogiPFy0QQnN70YJllF1yw4jV2Cwg8dzjWAM9CK+fwMaLSi4z4mVcMWqHSxHgQv20DWhFDzN5L+ACJwjbcdCzy5R7XSTNNENJk+qAG7eusbgmwJ7eGC/2Dud1wdetqmdb+xBHw0mebgtz7oIqdE3wprOLPTCHUxZdkSRpy6Eu5CHkNfjPt27i1m8+yTOHBnnXN57kzvdtZklD8SD4hstWc/25Swj5x5/On99UwwPf+ii/f2g7//r1u9ixr507f/sYd/72MQxDZ8XCRpa21jO/sZrWxmrqa8rxul3Ekml6+iMc6ujlxUNdPLenjWhsRAu4dmkLH3/XK3nNFZuKbhLxZIZ3/ufd/OW5NjRN8P/+7nLeePnq/Pt90RTv+NoTHOqJUR10862/O4/lTUoznSO/9+7uQRPwiWtXcs6CkWS3WNriy48dIpw0qQ+5uWFNA8ciKeZV+PC7ddY0hHDrgmPRFH860EdDyIvX0OiKpvAaGgG3QdCtT1rRHU4q7a9xClR/c9B1HUfXsbPJcZp3cg3zqQg9e5MrfBgvlcQ4hxEIjx+9Zn6WBKdwwp0IT0Alx7lO/O9AC1UjVmxGDg8oO65EROmC00lVKbVNSJrZJq0eZA+qqFBWi6hsRJTXlSSrUkp1XxJiwqKJlFI1PdUtgEwSZ6gHEe1HW7hh3AS56UBmUtiHnoVstVU0LEFrWnZSri8pHSV5GR5Ux1bT0SubTstrfboQmgbZBrfJIKUsmjGaI8AnCJP98HTDQDKiz5NS4mQySMPIVxbzUgnHKXpiOe4f9RQ0wELT1RO6bSoZxDhP5VpFHXYsjBOZmABr/iA4Dp4Fy6h81dux48M4STWtPvS7H2B2dyBcbsoumtgQfaow+7uJ3PdzAEIXXIPmKV29k8NKVztaAiFLaIBVxUlTg6+jKtdF62RvzpoQGJrAciQZ28GXJcAVPhfdw4oA57CyLsSe3hhHwgniGYuA26DM6+KaFXXctbOb3+7sZl1TeT5NDqArkuKxg/3s7ooyGM8QSZp0DCWpL/PynosW8eVbzuaWrz3Bro4I7/z6E3z/fZuZX1usA5uI/BZ+3xsu3cArL1nPlu37+fEfn+Sex56noyfMzv0d7NzfMek2AMqCPm64ZANvvn4zl569suTv99t3b+cvz7Xhcxt848PXctWmRfn3+ofTefJbX+7lO+85j4V16vvYjuSO+/dy/4uK/P5/167kkmUjzY6xtMWXHz3EsUiKMq/B+pZyHjs8yHDapDrg4ZpldQTcBhuaK2gIpeiLpzkymEAIQXO5l4wlsRxJwyTVX9uRRLLV7Qr/ya/+FsJwufJaWdM0VQPZaYacr6dj20UzYNJx0I53RuxlDGG40GtaVSpYbFA1aaXjyqdW11Wzs+FGeAIIt2/Wf7dCCERZDeRmC7OQlglmUjnvpBPIZFSNxek4MtKLjGRtKV2ekfuQY6txt7AHo6wWfenZ4352oQZXVDZi738ap+cgesuq4v1x7GmFhzjDA0ryYGVAM9AWrMtrr19qSMfBHmgfkSvqLvSq5lkh+acDpiOByDlI5GbTRWZq0qC5EeYEwDAMNE3Lh2Y4tl1k8G5rypS7MFL5uOUPMDKVP1lMo8sLtok0U+NOpWgVddgde3GGJm6E09xeyi6/kf4ffYnQxQO4ahtJDw8Rf/ovCLcH/4bNuBvnT7iNqcLJpAj/6ttIM4Nn4XKC511ZcjnpOHn9cq6hL49SGmDIykdGBuGcBml0F6pL17AcG9NyyMp/qfAp65WEaZPIWPjdBtV+Nw0hD93DaXb1DHP2PDU1f8nSGp5oC9MznObu3d28dr2yMttxLMKXHzpALBvusH5eBYtqArRW+rl7Vxf/+5cDfPyaFXzz1nN5+1e2sL97mLd9ZQvfec95LK6f2XSYEILzNyzj/A3LkFLS0RPmznue5St/2IXXpSFwEI6Njk3Qo7G03s+y+XUsm9/A+hWtrFrUhGGM3FxKSWrec8NGth/o5QM3buLMZQ351zvDCd719Sc50henocLLd9+zOd/wZjmSz9+3hz/t6c2T30uX1+XXzZHfjkiKkMdg86IqDE1wZnMZmhA8dmSAtG1jOg5+l05jVoKyrrEcy1Exxru6h9E1MWnscTSZQUp13gub7k4F5Ab9TDqNk/XVnZVx5CVELvXJtCwkqiJsWRZC09BOoYeNUxFCCPSyWqSvDCc2iExlI+wdC2kqdxMZGwRNR3iDaL6yE54eJgwXGC4V4FEAmRzGGexERnogOQxmWv0ZD6Nn7gq3VdCnIR1HEXyPHzIj25O2hYz2IQc7kekEWlUjonb+hFZoMhbG2f+0ugf4ytAXn5l3RHqpIaXEyVb4ERpaWQ3CXz7rcsJTGaVmYSeCECLvLDPVB77Ta7Q8jZD3t9Q07Ow0n0BVfQtL9Zqm4XLPUmUp/4OZeMpAuD1qsMxMwQlidJDEKMhs9Tew8UIGf/ENfKs2ktq3A80fxLd6E97lZ2CUV024jalAmhkGfvJVzO52NF+Aylf/7biJLzI3XZSVchShlAQC8g8PUjp5/XRJAmxoJLNRuPnXdI1Kv4vBhElvLMOCKrXttQ1ldA/3sad3mPVN5bh1DUPTeN0ZTXz5scM8fHCATa2VNIQ8fPXhg9QEPXzi2pW0VhXfpN538RLCCZMHXuzhH69cznfecx7v/PoT7Osa5m+/soXvvnesHGK6EEIwr6GKf3zTJbz2svUMRJP0hOMcOBbmB/e/QCRj8a3b30F5QBHGJ3Yd46ZP/YrdbQMsbCjng685i+vPWzpmu26Xzvc+dn3Rawd7hnn3N56keyhFY6WP7/zdeSXJr64JPvmKlVy8dGzlN0d+/+bMZnb1DHP9ynrKvCPR048fGSSSsrAdyYbmclZmddW6UN6/AA2hiZvfLNthOGtvd6pVf3PQNA3dMPJm8ELTjltK9VLDcLkgm+5kZW90hss1rUSnv2YIlwe9shHp1IGVyVplqQKHTMfBsZGJCHYiAm4feqjmJY/RFb6Qqto2L1fkPJNC2qYizJqh7l2aPjITNwHRK7wOhaYh40PIaD9a65o8UXI69yHDnYiyWrSaeTh9bQjLRG9ZWXKbMh3HPvgMSAdRXoe26MwTEjs9VTiRXnXuhECvbkG4fZOv9DJATspQyi3mRIy/cwT4BCPnV5dzjnAcR5XphUDXNMTxOj8UfdgUbNBgRAc8kRNELklteBBpW2Mrprnlsj9Uo7KG+LY+EjueInDmBXgWLsfdrKQTjplRuuIZfE8pJZn2g0Tu/wXmsSMIt4fqN30AvWz8mGZnqAcArbxu7Gc6JWzQoKR8RGgaOE5JK7SMVXyMa4MeBhMmfbE08yvVlGNrhY9yr0EkZbG3L8baBlUVWVEf4qzWCrYeHeJHz7SzqbmcpGnzdxcuypNfy3awpWqys2wHt67lE8yqQx6++57zeGe2cewdX3uCO997HosmqQTbtlOkqxSM3ExyXrtet8HK+SPTmh19Uf607TCXbViQJ79PvXiMt33+d7zq/GV89p2Xctdje/n3Hz1OXWWAs1dM3CG9oy3M333rKSIJk0V1Qb71d+fSUKEGd8uRfPbeF3lwbx+6Jvj0dau4cMnIvsTSFv+blT2EPAZ/f9EiXuwdZkGlPx9AMpDIcCyaYm1DGeubyumIpHj8yCBBt8G8Ch9J0yGclapM1vwWSWaQ5BodT91mLMMwlBTCccik07g9ntOKBOd6J5ysDOxUfNA4HSA0Hdy+ogZoKSUyk0AmokqTm0liD7QjAhVoodqT8pAhXB5weWaUnlpIhKRlKm/igY480YVs+FHvEbT5axHVzapq6vHhHHoOWdWE8JcXbzOTxN73lJI9+MuUlvhkkt9EBJkYAkCrbPqrIb9APuZY03Xc2cKg0oZPz1UrlZyaV/UcAX6JoWka2gnS6gkt1wQ3iQQie0HJdGL8bflCiiibKZxIH3pVaR2UOdBD5N6f4yTjuJvmk2k/RGDjhWi+AFa4n9jTD2J2tiE8PjwLlhE8+9IpdQNb4X6iD/+e9MHdODFlZSXcHqrf+P48sR4PzmAXAFplfdHr0nFG5CGjCH2pBkJNCGyKNUju7JR/xnaKBmNlraUikYfTFmVeRfjXNpTx2JFBXuiKsrIuiJG94bxmXRN7emJ0D6c50K/iegsrv4au5S/Oh/f388ThAf7p6hX59yuDHr7zd+fxt199gn1dUd765S188W0bOWtJsSavELo+/Zvd9+7dQTSR4W3XqNS9aDzNj/60i5Xza/iPv7scgPpKPy8c7uN79zzP2Suaxn1af/TF3nzC29rWCr72zrOpzEoQpJT855/2jUt+U6bNVx47nCe/H7xoEQ1lXoIeg+G0mf+8HZ0R1tSHOKdVPSA1hLy0hRMksuEfndkgkiq/a0JSa9kOsbRap8LvOaVJmRACd1YKIaUkk07jOQ2b4k4n0n66QAihpvE9AWRZDc7wADIRQcaHsDMp9Op5p1WlXQiBtDLIgWM4fUfA8KA1LkVkrcmk4+D0toE3MEJ+ARHKJoNaZvEDgpXB3v80ZJLg8aMvOWvcYs9LAWllcCKqgCOC1WgvY6/f0Sh0xMp7+QoBM0zXnQrmCPDLCbmn1kmMoIVfhTLIWOn4XMjqy+pasY/tw27fMy4B1jw+kA6+1RvxLl1LYtuj2NEhhrc8QPzpB9ECZfhWb8IO95HcvQ2zs42q175r3M+VUhJ/8s9EH7xLNVQA6Ab+dedQdukN6KGKCb+btC2so8puS6tfUPxmKptspxljK8DjpM3k9ikHQxPoQmBLSdpy8GZJlK4Jqv1u+uIZ+uOZ/HT80pog2zsjxDI2e/tirK5XVeCgx+D165v4zlNH2dsfw5GSL/1lP69Y3UBrlZ9jQ0m2HBrgkf397O+NcdP6Zja2Fle9KwJuvvuec7n1m09lG+Oe5B2XLeGWyxYTLEgq6wnHefd/3s3e9gFaasuoLffTWB2kqSZIS00ZtRV+1iyspb5SyRAcR6Jpgq17OvnLc23csHkpTdWquny0N0p7T4SLz1DOFaZlU1sRYN2iOh7ZcbTouBXit1vb+eTPnsdyJJuX1/Lfb99EoMBR4YdPH+WeXd1oAm6/fhUXLB4hv7Yj+e5TR2kfShL06HnyK6Uk5DHy1V8pJSvqQtQGR1KEbAkBt45pS2xnJPmtaZLqbzJLmD2Glj/HpzKEELg9HtIpRfBP1JThHE5fCN2FXtGA4w3l9aVO+BhaVctp8VuRUiL72nDCXZBJoTUuQVQ1FxN4x0ZGetBq56uiRtaGU8bD4A2CVaATdhzsvU+q+4LLi77s3BGf/JMEJ9oHUiLcfuXq8VeE0emPRZXfE/T7nCPALydkn1zlJDnlIlQNCNWZm06MqwfTF6zGPrYPq20XrrUXlZwW0oNlVN7w1rwkIXTRKwj/7gekD75I2WU3ENh0cb7iaw700Petz5LpbsfdMDZKUjoOkbt/QnzbIwC4Fyyj7OLrcbcsmrKHpN2xFzJJpTlrXFT0nkxmY4f9ZWMG/LxuuvA7liDAQgg8Lp1ExiJl2kXkqDbooS+eoTeWZmGVXz1EaIJ1jeVsaRtkR1eUFbWhvO50fXM5ZzSV8XxnlNaaAPt7YvzT/p2EExl0TdBQ5mVdczkfunwZK8bR+FYGPXz//Zv59M938Idnj/HNP+3nF0+08brz5nPz5vk0VPioDHr51Nsu5FDnEP2RBF2DMXoG4zy+s4Oh4RQHOsO88xXr+cSbzy+qEv/60b0YhsZNF410XHcPxkiZNgsbKgDy4RK2I9E1jcHhJFWhkSk7KSVfvncvX39gPwDXndnMZ/5mPW5j5HPu393Dd7ccAeDvL11SRH4dKfnRtnZ29wzj1gV/t3lh3rlh9DkUQhTJGoQQdA4l6ItluHBhNf3xDLYj8WZjkidCIqMeIn2nWOPbRDgdSMwcTj40bwBR3YI90I5MJ3CGupWX8Cn++5HDAzjtu1SD2vLzEO4SZNVKq/G/PNc0m/1OyWH1vwI5gdA0tPoFOJ370Zedc9KlBjKdQGaLNCXley9jFDpi5WBb1phgqqlgOqYCp8/oPodJke9wtSdOhxK6C4KVEBtERvsQtaVdGvSGReANQCqO3XkAo6V0/GOO/DrJOIO/+R5OPErtu/8ZV002tchx1GDjcqOXVyHTY7XHdjRM+LffJ33oRUBQfvXrCJxz2bR++FJKzH1bATAWnTGmY1YmRuKRx8DJOXKMrDM6jjH3f28BAS5Epd+FoQlMWzKUNPPBC8tqVRU4nq0Cr8pqdYUQ3Lyhmf19cRKmzSUr6pSHrUvH0AXlXheVATc+lz7hQOBzG3z+TRu4cl0jX/zjixzpi/PNP+3nuw8e4PqNLbzr8iWcubSBM5c2jFkXVBVXSiWRkFJVf3cd6eOBbYd521VrWdlak68KJ9IWjpRUjaqg9objlAc8iIIJxp6hJJ/6+Q4e3aMaKW+5bAm3vWJFXm8MsOXQAHc8sBeAN2yax6vPaC465r9+vpOtR4fQBLzjnPksqBr7sJY7N5ajvHpBEeee4TRPHg2zrrGMgNvIR1PXhyaWNNiOzJ/bU835YTKUatycwxxGQ0UrN+MMdiCTURxNRyurPaVJl/CXobWsxOlvx975IAQqlEa2uiUvW5DJYWWxZoy4AUjbQsYjynt4lLuEVtOKqGw6qbIHUAUYO6rGSeEv/6uxOssh74ilaRi6jmmaRYR4Or/LXGT8lJad3m7O4ZSGlr2IpVSdwBMtmvVvlNHx446FpmMsUNpP69Dzk368HR0i03GI0AXX4qppUHGVUuanqBIvPI012IdeVpFfxxoaIPrgXfR87V9JH3oRYbioet27CZ57+bQHY6f3KHKoF3QXxuINY97PST7GhGPAiPZ3Cs0PuapvxiqOvNaEoDarae2JjUy1GZrgjGy4w3OdkSIHiTKvi9etV/q1Rw4NUF/mZW1zOSsbymiq8OV1qqOjIUcTHCEEV6xr5LcfvYT/fvsmzlpcjeVI7trazivv+Asf//FzHOoZLvl9XIaO25Xzplbb/e49z1MZ9PKKc5fkPxMg5HMTjafxZolhjvC29URoqQ3h9xrYjuTHjx3mVV94iEf39OI2NP7t5jP40PUri8jvs0fDfOoPu7AdyRUr6njXBcXa7nv39PJQNvr5LZvmsaZx7IOLkyW/beEETx8NY2f3P5IyOTgYpybg5oymcmJpi2hKDaj1oYlvLjn5g0vX8uEnc5jDyw2aNzASrRwP40R6TukHJ2G40eoXYay+GH3NpYhQDU73AWTvkZH7nW4AApmI5teTwwPIVAxRVlPSRuzkk1+JE+lVtnBCQwuN38fxckUuEEzXdbRRIRYn8qHs9CpvzGFCCE0bsZGxrQnJnCirhc59yOH+CeOKjYVrsfY8idNzBCc+hDaBP6PV341RUY13yers/qjPtyKDJLZvIbHjKcqvuAmjUtlaxbc9ytAffpRf39U0n8ob35GvHE8X5t6n8/ssPMXTWdK2IDsoimCxLZuUcqQ5Tpu8AjyeDhigPuihK5piIJ7Bcpx809uK2hA7u4cZTlvs7I6yobkiv86meRXs7IqyrSPC97ce5aOXLZ2wQetXzx3jhc4IH796xRh9qqFrXLmukSvXNfL8kTDf/PN+HtrVw++e6eB3z3Rw2Zp63n3FMta2VpTctq5r9ITj/PHJA3zsDeflpQ45acTaRbUMRpP0DakGSrdLp2sgxt72Ad5y1Vrufq6L7z90kP3dimyvba3g39+wfoxX8faOIT7+252YtuT8xdX801XLi3xfHznYzx93q2aQ157RxFmj9M+5c5Jb56GD/ayqH5GXBN0GZzSW4c02LR4ZVPtbG3DjMSZ+yElmFAEuDCk5XTCTruk5/PVC85eDlIr8JiI4jo1W0XjKN8YJtw+9aRk0LSsKuxChGoQvhBzqRvpCyn/46AuIUDXiJAVaTAQppQozyc5OaqdANfqlRmFBJxcIZrhc2NmI91kJCRsHf11H+gTjlGg80Q3lBWlbE0+j+MvzSTxyeEAR4hLQgpVodfNxetuwDj2Pe+3F427SPX8J5m86Se3fiW/VmQAknn+C1IFdWAM9+JafgW/1poLllwICz8LlBDZdhHfF+hnbzzjhbpyew4DAWLppzPsyPgRIFRU6WutVSBbE2KfP0RXXQh1w0rSKSGjQo+Nz6SRNm97hDE3lSiqga4JNLRX85WA/O7qiLK8L4S+o7t68oZlDA0qv+sNn2nnnufNLBgEMxNJ887HDZGyHzsh2/vX61TSWl27cOGNBJV+55Wx2tg/xrT/t5887u3lwZw8P7uzhwhV1vO+a5SWJ8H/+/EkMXeP685YWVWyllNSU+7li40K++MunaawO4vW4eO+X7sftcfOFuw+QzM5alflc/P0rVvD68+aP8dp9vmOIf7rrBdKWw9kLKvnkK1ZhFFRanzsW4RfbOwG4dmUdl0zgbAHwlwN9VPhcnFnwUFFYvY0kTcJJ1f09v4SEohBSSpKnof43j7kY4TlME1qgAjQdJ9yFTMWw+48q79nThIgV3jOEEGiNS7CP7sLe9TB4/IhAJVrr2lPu+0jLxB7qUg4UgFZWi+Y9OcEbJxN2gfwhX2QqsI49kTi1H/NG4XOf+xxCCG677bb8a1JKPv3pT9PU1ITP5+OSSy5h165dReul02k+8IEPUFNTQyAQ4IYbbqCjY2pxr1PBVJNKXgrkL/LJGuGEQFQpvaXsbZtwWWOJkhNYB59HWuNHDOrBcsouvp7In35Nz1dvp+s/P0rsqQdxUgkCZ19K+VWvRQ+OTGO7ahpo+NAd1Lz1H/Ct2nhc3ouZF1TjnN66Am1U/DEwkus+qvoLFNvGlWisUssUU4pcdTBHlgqXbyxTDx7HIski4ryoyk9twI3pSJ5pL3bg8LsNbjl3PoYm2NEZ5d4XSweQVAc9/L+b1lLhc7G/N8atP97GE4cGSi6bw5p5FXzpb8/i9x+7lFed1YKuCR7d08vf/PejvP0rW/jDtg6iBTHO//LmC7jn839DbXkxWZQSDvUMc8nZy8lInVf+yy+54iM/4VBPDNNbQdKChgovH7p+Jff+y2W84fwFY8jvM21hPvqbF0iZDmfNr+TfXrkGT0FD3IG+GN9/+igSuGBhFa9YWWxll0NO+tA+lORQOMH5C6pKhlpIKTmcrf7WhzyT+vmmLBuJkrO4T0P5Q/4IzFWA5zANaL4Qes08NWtopbH7j47Exp9mEMEqjFUXoq+5FH3hBvTFGxG6ccrIO6SUOIkIdt8RRX6FppoQA+N727+ckdP/6pPMOjiOg5nJFAWJHS9OrUeiCbB161a++c1vsm7duqLXv/CFL/Bf//Vf3HnnnSxbtozPfOYzXHnllezdu5dQSE273nbbbfz+97/npz/9KdXV1Xz4wx/m+uuvZ9u2bej69ElXzq8ul+omhEBkIz212Qy2mAnyjXCTD15a3XzsviPISM/EbhBNSxCBCmR8COvITlxLzhx3m6ELr8WzdA2pvTvQgyG0QBnueYvRA+pcjH5Q0EPl421qyrB7juD0HAGh4Vp9YcllZGwQYGwyHBTIH0pMtYxTUfO5DCCNaTuYtlOkFW0IeTkaTpKyHAYSJjUBd3ZTgnNbq/j9i93s64+zoi5UFMW7oMrPzRua+b9tHdz9Yg8VPhebF44l7OtaKvjmm87kk7/fzZ6eYT7+2528fmML7zp/4YSa1YV1QT77hg383ZXL+PoD+/j9Mx1sPTjA1oMD6JpgzbwKVrWU01Tpo9zvZvvRKKbt0D2UYmf7EM8dHiwgygEqWvxIx2ZxfYjzVzZw5bpGzlxYVVQ1LsQ9u7r5rz/vw7Ql5y6s4vbrVxeR30MDcb625QiWI1nXWMbrNzSXvJYKpQ8PH+pnQ1M5NYHSsx3HIimG0xa6ELRWTt7lncpXf0/ctNsJxVwFeA4zhHD70GtasQfawTZVJbiq+bRtyMoFbuT/f5KvZyklMjGEEwuPNKq7vOiVjapB768QueQ3YIz2dzQs01RBYraNy+Waldh3IU+Vx6IJEIvFOPPMM/nqV7/KZz7zGdavX89///d/I6WkqamJ2267jY997GOAqvbW19dzxx13cOuttxKJRKitreWHP/whN998MwCdnZ3MmzePu+++m6uvvnpK+xCNRpk/fz4d7e2KNAuhQi2EACFUGV9KDMOYlRMzU9jRfmRsAOEvR6+YXEtr73sKOdyPqF+M3rJi3OXMA89iPvcnRKAC77XvnHYm+YmqkEvbIvXnHyIjfRhLNuLecHnJz7a33w+Ohb7ygrFJQOmEGvR1F0Z9sXWamckoLZJhjOks7YkmSZk2FX435b7iAezIYIL2oSRlHoMzmos/7+GD/ewfiFMbcHPDqrH2Q7/d2cUDe/sQwDvPnT9m/RwylsM3Hj3Er7YfA2B5fYiPXbWMRTVTM0/vCif5zdNHuWd7J4d6YlNax+vSWNVSwRnzKzljQSUbF1VRFZysqczma48c5Hc7VEDJRUtq+MS1K4us0A4NxPna44dJmg7La4Pcev6CcSuwud/Sw4f6CSdMrl/VkHd/KEQ8Y/HcsQhSwtKaQN4+bSJ0DiUwbYeaoIeAZ2qdxKcSrGz3tK7ruE5Q4M4cXt6QViZLglViqVZWp5wJTscHwlMEMpPCDneOEF+hoQUrEcHqv+rjats2ZiajZIXe8cdnJ5tyWYiJEi+j0Sjl5eVEIhHKykq4PmVxWlSA3/e+93HddddxxRVX8JnPfCb/+uHDh+nu7uaqq67Kv+bxeLj44ovZsmULt956K9u2bcM0zaJlmpqaWLNmDVu2bBmXAKfTadIFBzwajfLRf/zHvMVG4dNKLu44f/M5iQRY6Iaq/kxx+krUzVeNcP1HkU1Lx5UhGAvWYO58TCUIte/FaC2dqV6IQtJ7oi5y8/kHkZE+cHtxrTqv9ELJqJKEaAb4xl4MsqACPBrjSSBAyRZSpk0yY40hwE1lXjqGkkTTFtGUmQ/GADhrXgVHwgn64hn29cdZXltMWG9Y3cBwyuLJtjDffeoo779wIUtrx5Jat6HxgUuXsH5eBf/xwF729gxzyw+38Yo1DVy+vI7VTeVFFdbRaKz08d6rl/Peq5fTMZDg+bYwe45F6B9OE0lkMC0HXdOoK/eyqD7IpsXVLG8qm5YzwqH+OJ/+426OZmUIf3vefN5yTrG+uX0oyZcfPUTGliyuCfDuzeOTX8j6+0ZT7O+Pc8M45NeRkj29MaSESp9rUucHUOlvOYcOr+u0GBrHooR39RzmMB0Iw41eMx9nqEv5BEd6EGYKrbz+r5qszRTStrAHO9RMo6ajhaoRvvJTvtHwpUBO/jBZCmQuJEPTtLzkdDbGuFN+lP/pT3/Ks88+y9atW8e8193dDUB9fbFOsL6+nra2tvwybrebysrKMcvk1i+Fz33uc9x+++1Frz3++OP5amApnBKDQ84PcaoEuLw+H3ksh3rykZJjljPcuJZtwtz1GObOR9Fblk2q2T2Rx0NKibX3aayD2wHwnH39uBKOnNWbCFaW3qesXrpkk8QEhCKnJ01bTt4nNwe3oVEb9NAbS9MXyxQRYL/bYENzOU+3D/F8Z4SlNYEiQiiE4A1ntpC2HJ47FuG7Tx3lo5ctyfsKj8aFS2pYXh/iKw8f4OH9/fxxZzd/3NmN19DY2FrJ1avquWBJTcmmuhxaqv20VPu57szmcZeZDtKWzf89fZQfb23HciQ1ATf/dPVyNs0vlnQkMhbffuIIGVuyvDbIuzcvmJC05xBNmZy/oKpIQlKIo+EkiYyNSxcsqw1O6beYthT5detaST3x6YDcOXYc55TpS5jD6QehG2hVLcoeLdqnHCI0HX2cZuk5jA8n0qvIr+FGr2k9rl6XlxOklPkGuInkD4XL6YaRD8iYDQJ8Sj+CtLe388EPfpAf/ehHeCcoj49N9Zp84J9smY9//ONEIpH8n/b2dlYsX55Pviq1Pcuy0HT9pFZfRsIwMlPaDyEEokalssn+oxMuayzbBN6A0gJniefJgHRsMtvuw3zhYQBcay4ak/pWCGcom61eUbqhKt/YNzoemZGmolJH0tC1fPUxZY31Xc5pfwfiY8/FyroQHkMjmrY4NJAYs66uCd6yaR7N5V6G0xZf33JkTPBGIepCHm6/fjVffO0ZXLGijuqAm5Tl8PihAT75h928/QfP8OvnjhFNTRyScrxImjb37OrmrXdu5QdPHcVyJOcvquabb9o4hvxKKfnRMx15nfQt586fEvkFWFEXYkWJqjjAcNqiY0h1Vi+uDhRJLSZCJnsOp7r8qYjCTurR0aJzmMN0IIRAC1ahlatxU8YGcYYH5mYXpgEnEUGmlCWkXtE4R34LkHd/yMpJx0OuSgyqApyrnMtZaIY7pSvA27Zto7e3l40bN+Zfs22bRx55hC9/+cvs3asSpLq7u2lsHPH46+3tzVeFGxoayGQyhMPhoipwb28vmzdvHvezPR4PHk9xdeloWxsLFy7MDwD5UnxWmA2cUM+6KSEnppdSySCmECGsVbdgd+1XhuHpOMJT2opFGG7cq88ns+1+zF2PozcvQ/OXjug9kXAGOrEP7wAErjMuKWl7loM00yMOEPl4zFGwFCks2YgwgQQCVChGLK1S4UanhlX4XGgC0rZDLGMT8oy879I11tSH2HYswrPHhlhY5R9TdXQbGreet4D/+MsBjkVSfPepo7x78/y8t3ApbJhXwYZ5FUgpOdgf5y97e/ntji6ODib4n4cO8LVHD3LpsjpuWNfI6saxkdAzQdK0efLQAI8c6OeJQwOkspXUupCH9160mIuX1pT8nAf3K0s4QxPcck5rSd/d7Z0R0pbDppaKMcen1DYzlsPu7mEk6gGkdhJ98ujvAYzxVj6dkJNjmQVyrLkq8ByOB1qgAqSDE+3DGe6HVAwtVI3mnVqvwV8rpJnKF1+0UHXp6Oa/Uti2jWWq++5EnElKiZldzsiOZZoQ2MyOzOuULnVcfvnlvPDCC2zfvj3/Z9OmTbzpTW9i+/btLFq0iIaGBh544IH8OplMhocffjhPbjdu3IjL5Spapquri507d05IgEvhox/7GEII0qkUmUxGaX5NE9u2lTbY7Z5Uy3KiIYTIk+CJLMuK1vH48z7ATl/7hMvqC9ahVdaDmSLz1O9n5Sksh8If9EQ/br12Hq71l+G54CZcy86a8AYvI1k7MX/ZuFnv+eNUggCLSTSVOa1oqeqsrom8bGEgPvZcrGkow+fSiaYtdveWTmmrCri5dfMCXLpgd88w333yaD7tbCIIIVhSG+RdFyziZ7ecw99fuoTFtQFMW3L/iz28/2fbeeePtvF/Tx/lcH982oOJZTs8eXiAz9zzIjd+Ywu33/0if9nXR8pyaCr38q7zF/KDt53FJctKx6u+2DPMXS+oprjXrGtiXuVY+UpnNMW2jiFe6I7Snq3oTgRHSl7sHSZjO/hcGktrp+6p+bLQ/2ahFdxQrLkq8BxmAVqwCq2sFhBgpnAGj+FkwxvmMBZK93sMkAhPABGsPtm7dMog1/gGqqI7Uc9UbjkhRH65XAU4J/M6HpzSI30oFGLNmjVFrwUCAaqrq/Ov33bbbXz2s59l6dKlLF26lM9+9rP4/X7e+MY3AlBeXs4tt9zChz/8Yaqrq6mqquIjH/kIa9eu5YorrpjW/txzzz1Ytk3A681bd+iadvKtz0ZBGG5F6qw0MDUSIGpakdE+5EA7smnZuAJ9oWm4z72B1APfx+nvwNz1GO61Fx33Ppt7n8YJdyOClRjzV6GF1IAxnlTFNUHVtxAykn0CLx9H/iBlvjN3MiuaUvuSqxaatoNlO0WBDgA1fjcD8Qx9sTTzK31F67t0jU0t5Tx6eJDnjkVYWh0oWX1cUOXn3ect4BtbjrCjK8rXHj/M289uJeiZ2uUb8BjctL6ZG89oYk/PML99vpMH9/ZxsD/Owf7DfOvxw1T4XKxqLGNhtZ/WKj8tFT4ayn1U+V0IIYinLY4MJtjdFeX5jiGeax8iXuCB3Fjm5ZJltVy0tIYV9aEJr4fuqKpmS+C8BZVcsGis1Vs8Y/HggT4ksLQ6wPwpWJhlLIe05aALwar6sgkr5aORq/56jNNX/5tDLknJzGSwLStfOZnDHI4HWrAK4SvLJ5c5Q93KzcD30s8CnsqQjo090KFmYHUXWmXj3PWXhWVZ+cqvpuu4XK5xj03OZhbA5XafkIb6U5oATwUf/ehHSSaTvPe97yUcDnPOOedw//335z2AAb74xS9iGAavf/3rSSaTXH755dx5550z8gAG8vF8pywMDxCbcgUYQFTUKc9EM40c6h63GQ5UOpx749Vknvo91p4n0SrqMOaNb6E2EWQqRvrJ3yOTMfSGhdjH9mMfeQHXmoswFqw5rh+7tK2RBrhx9L8jtjRiYheIcaBrKjAhYzukTJvgKAJcHXCj90PKcoimLMp9xZKUpTVBdnUPM5g0ebpjiIsWlq4UrKwP8e7zFvCtJ4+wpzfGFx7czzvOmc+CSZLNRn+XlQ1lrGwo430XL+bBvX1sOTTAc+1DDCVNthwaYMuoUA2BIuoZe2ylv9Lv4tJldVy+oo5VDROT3hz6Ymn+99FDJE2bRdV+Xr9+rNev7Uj+fKCflOVQ5Xdx/oKqKW3b69JZ31RO0rKnHWOciz8+LdPfSiD3UJ7zLDdcp5+l2xxOPQjdQCuvx5ESmYzihDvBqkEEp3aNvtwhLVNVfq00aLpK1JvT/QKK0BbKHowJyC+MaIS1bJExByFEfmxzHOe4uNhp4QN8KiDnKxcOh6moqDjZuzMhnGQUJ9wFLi9G7fwpr2d37kN27UeEqtGXnTvp8pnn/4K1byvoLryXvlFJI6YJq/MA5vN/wXvJGxA+pSlThHgYY/lZGE1LZ9zN7vS14RzdCZ4A+uqLS27DScVwBo+B4cGoWzDmfSkl6VQKULrwUpXxcCJNNGkScBvUhMbqvPb1xegZTlMX9LC8bqxurns4xR9eVJXq61bU0ziBX+2xSJJvPdFGfzyDJuAVq+q5YlnttKqdo5GxHPb2DLO/L8bh/jgdQ0k6wkn6Y+mi5r8qv5vl9UHWNJWzsbWSpXXBaVVLj0WSfH3LEcIJk8YyDx+8aHHJKvaWI4Ps7h3GrQtevbqxyEHjRMCRko7BOBJoLPfhNl4eNyzbsvL6OY/XO0dQ5jBrkFLiRHqRiSH1gm4gvCElM5NSFV9sE2wz70gkXB6EN4jwzU7vwakGJxVTVfGs3Zle3YJwzel+c8ik0ziOM2nlF4rvuy63ewzJzW3LcLlKRia/rHyATyWcDpq6/FS+lZkWedRq5o00w6ViiEmaHFxrL8aJ9OH0HCH92K/wXP6WaTXFSSlVhdZw5e3bAFyrzsN84VGsg8+j182fUUqOlBKn94j6XrXzxz8G2Sr5eJ9RuJ6kIGq2AD6XTjRpkjTtkse7IeShZzhNfzzNYsc/hqw2hLwsrw2yty/GY0cGuHFN47iEtrncx8cuX8pPn+1gW0eEP+zqYWvbEK9e28iaxqlVYUfDbWisbS5n7ajADdN2iCZNMrYk6DEIeWc+XGw9GuYnz3aQsSV1QTcfuHBRSfJ7oD+W10NfsqjmhJNfUHHWElXNn47H8akOTdfBsiBrI1TqRjGHOcwEQgi08jqky40T7QfbQsbDyHh43HWkbSJTMYj2I/xlaN6QGvdLJXCeRpCOjRPpQSazfRwuD3plM2IKDeh/LbBtOy9nmIokqzDuuFRfldA0cJzj7kF6+Yz2LxGcghN5yiLvBOGMxPxOAcLtU77AgNNzePLlNQ3PuTcgyqqVlOGxXynXhXFgdewl/cRvyTz3J6zOAyMNe5mUqhpkJyO0shr0psWQSWK3753y/hchNgipmBpcq1vGXUya6ilzorjPyRrhPIaOJlQlMeclW4iQx8Dn0nEk9MVKy1LOnleBz6UTSVk80Tb+TQQU4X772a289ax5hDwGPbE033jiCHc8uJ+tR8NYs/T7dOka1UEPjeXeGZPfwUSG7z7Vxve3tpOxJSvqgnzokiUliW1/PM2jh1Vk9fqmMloLGuNGH/vZnLgaTqlzEvS8vLSyQgiMbOVkzhJtDrMNIQRaoBK9YTFaZZNK2HR5weVF+MvRQjVoFY3o1fPQqltUX4emg2MhY4PY/W3YPQexew7hxAbzlWJpW0gzpf4+xSeonVQcu/dwnvyKQKXy+p0jv3lIKYukD1MxCpjMVSvvd17i91EqNW48zJUEZgDHcU6628NEEEJTnra2ibTSpQMexoFWvxA70oMc6FDNcJPkwAu3F88Fr83GEfeS3nIXngtfW6R7cuIRMs/cg4wOoLeuxIn0Y7XtRmx+Fca8FZg7Hsbu3I+xcB3ScRCaht60BOvITpxoP1I6045ezlV/RdXET+IyowgwE0xV5fRG41mhCSHwuQ3iaYtExhrTyCaEoDHk4dBggs5IioaQZ8xF7TF0LllUzT17e9nbF6O5zMui6vEbGIUQnN1aydrGMu7f08vDBwfoGErx/a3t/HpHFxcvruaCRdVTbpSbbXQMJblvTy/bj0WQgCbgmhX1XLOyrmQgR8qyeWB/H7aUzCv3cWZzRdH7kqwlju3gMWavYpQy7fxDS+glqDa/1NANAytnHJ+9tuYwh9mEEBrCF4IJmuEEgCeACFYhUzFkIorMJLNFGgsn2gfRvixBHinaCLcPrbpl2uP/SwGZUW4YIFXIRUXDuE5Df80odGuYai9Crsg4XkBGoRfw6FnXnDZ4KpgjwNOEruvop8FNRBhupG1OORI5j2AV+MshEUEOdCAaFk+6ihYox3PBa0g/9FOc3jYyT/8R99nXIzQNmUlh7noc4Q3iOeeVCK8idcnffwVnsAu9bj7GonXZdLnlCJdH/aA9frSyapyBzmkPfjI5jBxSKX9aCV1vfjnHHnGAmIjoTyFe1udSBDg9TlhFfZmHI+EECdMe4wmcQ3O5j/VNZWzvjPLk0TAt5b5JQxl8Lp1XrW3k8mW1PHpogMcODRBJWfxhdw/3vNjLyoYgm+ZVsK6x/IQHPCRNm+ePRXimfYg9vbH868tqA7x6bWNRRXc0njoaJp6xKfMYXLp4bGrd/r448YyFIyVeQ6e10kfAbRyXY4OUksG4qhQEPcZpcV1PF0IIdR06DpZt43oZfsc5nD5QZLksH0kvpYNMDuPEw2CmR8hvlgjLTBIn0ote0XAS91pBSgekRGi6sjkLj9icaVVNpyRJPxUwo4yE7L12vOVnqwAyR4CnCZfbfXpUUXIV2GkSYCEEWu18nLYdOP1HEfWLpvRj06sa8Wx+FenHfo3dvoeMlLjPuR7h9mLMW44oq8mTX+k4iMp6tJp5SMfGWHYWdtdBMs8+gPvMK/NkVJoZtPKa6X1vwOnar75LZaOqTIyHnFxDMyaskk+UBpdDjlxm7NIRtIamUeV305+1RCtFgAHWN1VwaCBBNG2xtSPM+Qum5h8Z9Bhcu7Keq5bX8WzHEH/e30fHUIqdXcPs7BrGYxxjTWMZZzSVsbQ2OO7nzwTt4QQPHuhne0cEM+tRLIAz51Vw1fJamssnroq0DyXZ3x8H4OJFNWOI+u7uKKYtaQh5MXRBVzTFzq4o8yr81Ic8Myb2Q4kMpu2gCajwTz0w43SDYRhzlmhzOCUhhKbkEv5ypJVBmmklxdMNnFQcZ7BDWa65vCqQ4yRA2iZOLKwa/qSq9lKQHqpszk4DTnASIKXMJ7lN5Pc7BkKMO+Oq3p4jwHOYCFkCLKehAc5BVDZC+25IJ5DRvvET1EZBb1iE+7xXkXnitzjhbkW+NR2tYYRE212HyGy7D2mmycTuQfjLMJaciefcG0g99BPSmRRGyzJkchi75wjuTddMa99lchgZVgELWuPSiZfNEuBJZR5TqAAbmshfs6btlHQSqA3mCHCGhVX+khexoQkuWFjN3Xt6eLE3xuLqAA0lnCXGg64Jzmqt5KzWSrqiKba1D7H16BADiQzb2ofY1j4EQJXfRXXATdBt4HfrBNwGIY9Buc+gOuCmIeTBM4EbgiMle3tjPHSgn13dIyEeDSEPm+ZVsHFexZRS2BKmzaOHlfXamvoQ9aHidWJpi1jGZlV9KC/nqAt6aA8naQsnSNsOS2qmHniRQ8q08rHQ1UHvae/9OxE0TcvfUOaa4eZwqkIY7qJmZM0bgFA1zvAATqRHkU3v9K/16UBJ3ZxskqqJk4ohY2GKyh858uvyKtnDnM3ZuHAK4o6nQ1oFI7K3yTBTlyiYI8AvWwjdUJfsTAiwbiBq5iF7DyN7j8AUCTCA0bwUccFN4PLkiWWeQNoWdvch9PmrMBauAzODuedJrL1P47nodXg234h1ZCfWoR1Ix8Jz7ivR6xdM+bOllDjtu9RnVjRMXP1lpAFuIv1v9gvkPmCCRQRuXSdt2WSs0gS4yudGF4KM7RBJWVT4Suuhmsq8LKsJsK8/zp8P9POqVQ0z0vI2lnm5fnUD162q58hggu3HIuzuidEVTTGYMBlMmBOuXxtw01Lho6XCl9/XcDJDVyTF/v440VTW3gjYOK+CS5bUjAn7mAiOI3nwQB8J06bca7CppWLMMoYmoEB+7UiJJgTzKn343Tq7e4ZxaYL50/BDthyH/uER6cPoCOuXG3LNcJZlYVvWyY9rn8McpggRrEZYGSWTCB+D8vpZt1GT0lG65OQwMp1QBHg03D60YLWS6JmpMWR9DqWR9/Kd5pgjNA2ZNRwY1+d3kirxVDCjkT+RSOD3T/2GM4eTgNxT6QwIMCjtrN17WKXDJYcnJZOF0BsWlXxd6AauMy5VGqrsU5vespzMc39GJuPo9QvQ6xcgU/G8XGI6kAMdyOEBlU7UsnLy5WexAgxKBpG2VFNVKQM5TRPUBN30DKfpjaXHJcAA586voi+eIZw0eWB/H9etrMc9Q4suIQQLqwMsrA5wI6qq2jOcZjCRIZ6xSWRsYmmL4bRFJGXSF8swnLboi2foi2d47ljpyFOvoXHu/EouWlxDXWh6EgIpJVuODtI9nMalCa5cWjcmRQ+UE4UQ0BFJstIbQhMCR0oEKmRkcXWArmiKxjLvlKQQUkr6hlPYUuLSNSoDL1/pQyEKm+GO1zx+DnN4qSCEQKtoxLFtZCahfHZjYYQ3MFJ5lRI0TXnuCk3NepoppGUqourOOlMUNUo5yHRCEd9UrPR9UjOUd7G/XPkX55LI9IntQeegUNiMNt3xRtc05bhl2zBO49x0qsTjYUYEuK6ujhtvvJE3v/nNXHnllae0I8JfLY5DAgEgPH5ERQNyqBun9zD6/HWzslujp4tkKo7wBYtI6IzIbyaF0/EiAFrTMoRn4gc0KWU2KppJzcqnSoA9hsYwkLbGP+Z1wawncCzD4mo57tS7W9e4alkdv93VxUAiw/37erl6Wd2s+NQGPQZBj8HiCWKyh9OWCsQYStIRSZHIWEgJ5T4XtUE3i6oDLKjyz5iUP3sskm+Uu2RxzbgPA7omWFQd4Mhggv19MRZU+XHpWv5c+N06tpRYjmSyeoyUkv5YmoyldL+1IW9JR4qXI4QQ6IaBnY0iPdXi2+cwh/EghECrbkHGwzjD/WClkaNCesZDfhnNUERY08EykWayuHqoGUqL7A2MIctzmBly1otiVJLbVKDpOpimcq85DonDZJgRAf7BD37AT37yE2688UbKysq4+eabefOb38xZZ5012/s3hxlCHGcFGLKWaEPdyP4OZP3iGRHTUsjZMVltu7AObsdYtA7hmbl9jLQt7ANblaODrwxRv3DylXINcEIrCuEohdEWK+NdjJ6s/ZlpOziORCtBbsu9Bh5DI205DCYyE+pkQx6Dq5fVcffeHrqH0zywv4+rltaWrJTONkIeg5X1IVbWT73yPxVIKXn2WITnOlVVefP8KuaPcoeQUmJLiZ7VjZV7DepCHgbiGfb3xWip8OV9hG1H5gpAkyKSzJDIRh7XBL0vq9CLqcDIEuC5KvAcTjcIIVTcsq8MmY4rqUJhNJFjK0mblMr73eUZsQJNJ5T3cCpWvFHNyCbTBRHu0j0Zc5gZZLbfAKZf/YVRcce2XbKBbjJ70qlgRgT4pptu4qabbmJ4eJhf/vKX/OQnP2Hz5s0sXLiQN7/5zXzyk5+c8Q7NYZYwCwRYBKsQZbXIaB/OsRfRF2867t2S6STmnidxhnpwwr24z7hE6YFnuj3p4BzeDsmo8mJcvHFKHbnSTALKx3jWOko1DUMTWI4kbdn4SmhLhRCqiWsoSW8sPWmjWG3QwzXL6rl3bw+d0RT37evlqlmqBL/USJg2T7QNcngwAcDGlgpWjSLY/XFVHU+aNi5dY1G1H7/boKXci0sTDCQy7Ooepsyr3AwiSZPWSh/eSeKLYymTSDLb9BbwlDw3L3cUVoHNTAZtLh55DqcZhK4qtfjLJ184CyV3SKpkVMdGGC5FkI2xfuxzmB0Uev/O9EFb03Vsy8J2HEptIecpfDznUMhZilrZvXs3b3rTm9ixY0ee+b+cMNVs6VMF0rGxuw8AoDcunbFNi0wOY+9+RG1n2bmI0NRsuSaCufdpsC2MFecel6WclA7OoeeU56/Q0JedgwhWTWldO9yFTEbRQtVoocmt1lJJRZjdHs+E0zn9sRTxtEWZ1zWuvjSRsdnWMQTAOa2VU9Ku9gynuHdvL6Yjqfa7uHRx7YQa4lMJactmZ/cwO7ujmI5ECLhgQTXLa4u1dENJk909wzSVKUlKImNhS1heG8wfo3jGIp626Yun8bt0/G6d+klcMlKmTU9Unb8yn4vKl7Hl2WSQUpJJp5FSommasnWcIwFzmMMcZgmFSWy6ruNyz6xZ0LFtMhnluDHZfbcQtm0z0N9PfUPDpHztuMpIqVSKn//857z61a/mzDPPZGBggI985CPHs8k5zBYKCe9xROMKXwhR0wqA3bF7VqIpjWVn4Vq1+fjIr2PjHNyWJ7/a4o1TJr+ASiECcE1NejFVHXCuEjmRDtjv1inLujr0xKYW2Vgf8nLN8no8hsZAwuSuXV3s6ome0lGhactha3uYn24/xnOdyiO4NuDmlSsbxpBf25Ec6I/TUu5lQZWfBVV+Gsu8xDMWqYJjGXArOcTqhjIWVgcmJb+W7dA3rM61361T4fvr7twWQuRvSI7jYGYyp/RvaA5zmMPpAyllnrQKTZty8lspiII+hdxDe+Hn2LaNZVlTTn0rhRnNA95///383//9H3fddRe6rvPa176W++67j4svvnjGO3K64HgO9ksJIcRIrKRtTapznQha0zLswU5IRJGRHsRxpvIcb8VJOjbOoWeRkd48+dWmYdUmbWskAc49dY/dqSCnA05bpQMxcqgLeYimLfpiaeZVTI2E14c83LSmkYcPDdAZTfFEW5j2oSQXLqwmcIpN6R8eTPDYkYF8zHClz8WG5nIWVpbW2oUTGVyaoDboyR+3Sr8bv0tnOFtRLzyeU2mMkFIyEE/jSNVUWB2cm/IH8pVfM5PBcRws05xxlWYOc5jDHHKwTFOl5QmB+zhnl4QQuD2ePPnNeZg7jqOIr22rXiLTRNd1DJdr2p83o7vmq1/9aq677jq+//3vc9111+E6DpZ/usHMdiaeFjdSww2ZJNLOIJg50RMuD6JuPrL7IE73QUR5/Un7/jIVxz70rNL8Cg1tyVloZdNLi5NplTqGyzPrJuaGJtAEOFKlwo0XJlETcHOgP048Y5M0bXyuqe1HwG1w7fI6dvcO8/TRIToiKX71QifntlaxtCZw0n+XSdNma8cQ+/pUw0mF18VZ8yporZjYH9jn1qn0u3DrWr65QQiBS9dImYpECyGIpkw0IabkixxPW6RMGwHU/BU5PkwFuq5DlgTbto3uOHNuPnOYwxxmDMe28/JX1wzIaCkIIdA0Ddu28xVgM5PJz2Tpuq4qwTPkZTMiwN3d3aeFDvZEQDoOpmli6HpRif5UhNBdSJJgTRx4MBVodQuwew5DfGha6XCzBSklsq8N59geVdU23GgLN0yb/ALZDmIQnqm7WuQuvsnOtxACt6GTMm3Spj0uAXbpGhU+F0NJk75YmtbKqftqCyFYXV9Gc5mPhw/10xfP8MjhAQ4PJlhWG6TS56LMa7ykhC9jO+zqjrKjK5qPQ17XWMbG5ooppaz5XTrech+6JooGMo+hkTLVoJqxHJ7vjNJa6ZuUAJu2w2BcyUvK/e7TsmnwREPXdWxdx7FtTNM87orNHOYwh79OSCkxTcUzdF1XNmazte3s37ZloWWLIy6XK/8Zuq5jmiaObU/7IX5GBLisrIyDBw/yve99j4MHD/KlL32Juro67r33XubNm8fq1atnstnTBo5tk7FtlbDkcp2ydkLCcCmjaPv4CbBweRG185G9h3GO7kSsvvgli4CUqTh22w6IDaoXglXoCzfMSL4gpcxXgIX7xIS5eF1ZAjyBDhhU0tpQ0qRnWMkgpks+KnwuXrmqgRe6omw7NkR7JEl7ROldXZqgoczLyrogLeW+aZFhR0pSloMAXLrAmGBQiSRN9vbH2NsbI22rSm213825rZU0lk39/Agh0MXIv3MIuI184tyunijVfvcY27TRkFLSP5xCAh5Dz1umzWEsXC4XadtGOs6cNdoc5jCHGaGwQns8ut/JYOWSLAvuSTIbjDQTzIgAP/zww1x77bWcf/75PPLII/z7v/87dXV17Nixg29/+9v88pe/nOHunPpwezz5sruU8tS2E9KVrk/mssuPE1rTMuxwF2SSOF370ZtXzMp2x4Oq+h7B6dij4ik1Ha15OaJ2wcyPdyapKshCm7L3cKH4fiqfm6v6pkx7wmmZ2qCHw4MJUpbDYMKkOjB9HaYmBGc0ldNa4eOF7ijhpEk4aWI6kvahJO1DSQJunSXVAeqCHoIeI2suPiLTSJo2QymTcMIknFTpcIVtURU+F9U+F+U+F7oQmI5DLG3TG0sTTVv55cq9Bmc2V7CoavqemuPpe926QCLZ3TOMaUs2NE/uSxxOZMjYKuyiJjRndTQR5gIy5jCHORwPpJRK+wsz0uFOhtE+/LphFL2W78uawefOiAD/0z/9E5/5zGf40Ic+RCg0ckO69NJL+dKXvjSTTZ42yDWQGAV2QrZlndCnnplCGNl9mgUJBCgPRq11tXJf6D6IE6yaVvPZdCBTcZz2nchov/rsUDXa/HWTJrxNBicZVdvzBmdsDTcZPIaGQBFM03ZwjyOD0DVBQ5mHjqEUxyLJGRHgHCr9bi5apOQgjpSEkyYH+uPs64sRz9g83xWd8baHkiZDydK/ISGguczLyroQ8yqmV2kuha5oCtuRNJerh0pDE8TSKq5507yKSddPZiyGU1m/36B3wur1HBTmAjLmMIc5zAQ5JxnIPkyfgLHDMAyQMh97PJoQzzRuGWZIgF944QV+/OMfj3m9traWgYGBmWzytEOucmKZpmoiGfVUckrAyBIqx0JKZ1YIn1bRgKyZh+xvxzn0HGLFZoRv9tLCpG3hdO1H9h5WCS9CQ2tZiaidf/zuEVLm04CEb+oa9ulWgIUQePIyiPEJMEBTmZeOoRSRlEUsbU2puWsyaEJQ7XdT3epmY0sFR8MJ2oaShBMZkpaNQDXqCSFw6wKvoVPudVHhc+X1wz6XjgCSpkN/Ik04aRJNKZKka4Kg26DC56KxzDvjOOQccoPacMriQH+cZbUjzXwBt0Ft0E1DyDuunjoHy3boz9rKhbwu/KeYM8apityNy7Zt7OwU4xzmMIc5TIRCv1/ghHmK5xrerOws1eh9cGwbTddn9NkzukNUVFTQ1dXFwoXFkbPPPfcczc3NM9nkaQld1/Pdh6dk5URo6o90VBXYNTsBANq8NdipOMQGsfc9pQIoZoEEy9gg9uHtSqYAiLJatHmrEN7gxCtOdfvphJI/aPrMKsnTuMA82Ua4lGkTmkCD6jF0agNu+uIZ2sIJVjfMbnOpoQkWVQdYVD2zGGu/W6fV7ae1YlZ3K48c+bUdyc7uKC3l3iJvXy27/5ORbCkl/bEUjpS4dI1K/5yt13SgGwa2basbypwjxBzmMIdJkCOjObuyE10AzMmzcuNTTnohhFBV4plscyYrvfGNb+RjH/sY3d3d+R16/PHH+chHPsJb3/rWGe3I6QSloczG/GUPvG1ZE61yUiCEgKwMYrZ0wKAMqvXFG8EXAiuNve9JZHL4uLbpDHVj73tKkV+3D23xJvSlZ88a+QWQRfKHqV+seQeIaXyWN+cHbNpFFeRSyDlADCZMIqnZkaucDiicznqhK0rQYzC/yl/0PjClCnM4kSFtOQgBtaFTVJN/CkPTtHxX9Vw4xhzmMIeJkHtYhhNX+R0NIQSarmNmMmTSaTLpdN6IYKafPyMC/O///u+0trbS3NxMLBZj1apVXHjhhWzevJlPfOITM9qR0wEPP/QQLsMgnUrl/zhZ37vC7OtTCSLbCMcsOEEUbddwoy87V2WyWxns/U+NpKtNE85AB87BbSAdREU9+qqL0CrqZ3V////27j1MjqrMH/j3nLp191x6bpmZTEhCIlkDhpUYBBGeJSwYVBBcdkXFC6ysi8tyyQJyWd2fQSUBFtAVdlFcH4gExGU1LsuiElwBWYRAQpCLJChJIJdhEjLTPTN9qcs5vz+qq6Z7rt093dPVU+/nefI8MFPTU32muuqtU+95XykcP0jnJfSRL1DSDLCbB+xICcuZ/LiI6Qq6m9zZ+V2HUoE8jqrBO2n94eAQTFvg3XMaC3KIiz2pDWYsP++3ozFCJc/K5NXu9Bb3huU4JIQUL3/Rm6IoM/a0iDEGTdNgRCJQVBW6YUDT9Wn9/rJ+UtM03HfffXj99dfxH//xH9iwYQO2b9+Oe++9N3hpABW0detW2I4D3TDGHfwgzgJ7ecDSKq7lbimYqkNZchwQaQSsLJyd20q+aIrkAYhdv3Nfr30++OL3gU2ja91E3NlfCagGoJVWPq2cGWAvDxgAMtbUx8WC1ig4A5IZGweGKzdbH1TemPYmM3h7MIulXY3Q1dJPR/n1fltiOuX9TsOYNsm59C5CCPHkT/bVYvG/l/JQiYo1TBZ5hrviiiuKftHbbrut7B0KqmQyiXg8jkQiMaYJiNdNCQCMgJVEE5lhiEN7AEWD2rW4Kr9DZlNwXn0SEA54z7vB5x5R3M8ND7hpD8IGa+sBP/yYqo2dfWA3YGXAmzvBG1tL+lm/W5aqltT1cCBlIpE2EdNVzGmaOuje3Z/Cm/1p6ArDivkts76CQdZ2sOWtBA5vi6EnXl5N577BDDKWg4imoJNSHyrCsW2/qL0XFFNOMCEEAMxs1l3zVOL1cKZIKZFIJNDa2jpuvJav6OmSF154oajtwngB4rkV1ICbGF6NWnjlYnqu1q1jQdrWSGm0Sv4OIwY+/z0Qu38HsW8HWFM72BRBphzuh7NjMyBsoLHNLXFWpTGTtglYGXdfy1isV2wXuNEiGkcijSkbYnjmx6PoG8wiYwvsOpTCER2Vy38OIs4Y/qSzAR0N5S3OTJm23yWurYHq/VaKoqoAY34ahJnNQlFVqEGsdEMImTHeIlmgvLJjlTTRddlrn1yMogPgX//61yXsWriIXFc4KaUfCAclCGacu4/8rQykmQJTy8x/ner3tB8GNngQ8tA+OH98HsoR7wdraBl3WzHwNsTOF9yKDI1t7rZV7ConUgl3H42GstIrvA98qTVuvfJnjpCwHQF1itxUzhmO6GjAy72D2J/MotFQ0V3EzHE9EFKOGT9N4WUHv46QOJRLFYlHqdVxpSmKAh6J+C1GHduGyKV/BeG8RgiZeV6aJ+e8pk+FvBJs061AQVeNEmx5/nkonMO2LNiWBcs0kc1k4DgONE3zHwfkr5AMAq/kl8ymqvc7GANfsAyINruL4nY8A/HOnoIcQrel8UsQf3weEA5YU4cb/FYh59f/nVJCegFwGYvfCmoAl/iB54z5FQyKnQVujelY0OLO2v/hwDAOpeo7H1hKiT0DaTz/1gAsp3Kfif5UFkJKqApDPBq8x3CzAWMMuq77ecHebDDlBRMSPkKIkQm+MsuOVYq3CE9K6RciKAetGCnBfz/8MJYuXeofBF5ZjvxHg95BEqSC8kyPQeJQ2VUaiv49igbl3R9wO8UNvgOx60Xg7Z1gkUa3AUV6pBsZ61gAvuA9VevG5pGZoZHav2WUVJO5GxnGWFl3mYamwHQEsrZAsZOdC1qjSFkODg6beLV3EH/S2YjOxsrUcJ5JGdvB9reH/HbJvYNZzG8prv30ZNKmjeHca7Y3UN5vtSmKAmYYfvBrmSZ0o76Ox3LTmAgh7ufHWxfAFcUvmVgLoycYbdsuuxEGzQCXYM2aNbAdB0YkAiMScStBjEp18OoC5+fK1JqbB8zcPOAZCIL5EceB97wb4AqQTkL27/ODX9Y8B/xPPgBl4dFVD34BQKYG3N8bi5f1ARHTvHB63cvSpl30zBljDO/ubERHgw4JYHvfEPYlqvt3q7SDw1m8sCeBZNaGwhiWdDTgsDIWuo0mpPSrPjRFNL/eMqkuzjn0vAoRzjRmXWaabVkws1lkc7VDp6rWI6X0b3wJCTuv7Jn3mdBqPfvrpWHkgvD8dsilCnwAvHfvXnz2s59Fe3s7YrEYjjnmGGzZssX/vpQSa9asQU9PD6LRKFauXIlXXnml4DWy2SwuvfRSdHR0oKGhAWeddRb27NlTlf3Nz40JSlk0xrm/+EsMD8zI7+Nzj4DynpXgh78X/LAjwQ9/L5Q/PQ3KkuPAm9qrvg+AW/rNS/sot/avPwNcZr5TNBeg2UKWlALAGcPSzkb0NLtB4x/fSeHN/uqlsFSKLQRePzCE3789BFtINBoKlh8WR3dzZWZqEykTtnDbMbdQt7cZxRXFv8G366REmmVZsG0bqqr6F+7xWqrmcxwH2dxKd0LCSkrpVoTJq3KlalrZ18JK7ZN3TVZVddrno0AHwP39/TjxxBOhaRp+/vOf49VXX8Wtt96KlpYWf5ubb74Zt912G+644w4899xz6O7uxoc+9CEMDo50Jlu9ejU2btyIBx54AE899RSGhoZw5plnVm0Ww8uPcRzHv1upNZ5bkCbTg5BiZmZvmB4Bbz8MvGsxePthYBVqxVwsMXTI3Y9II5haXrDkzQCXugDOwznzg+CUWdqxwBjD4vaYnxO8uz8d2EYZjpDYn8zg+bcG0DvoztDOi0fw3p64//6ny7QdJHMNL9oajLL/JqR83rktf8FvUHkXS1XToOQulpqugysK7AnOzfk5hSYFwSSkRO4m0LKskY5vmlbz3N98+S2QGWPukx7ThGWaRV8biq4DXAvXXnst/u///g+/+c1vxv2+lBI9PT1YvXo1rrnmGgDubG9XVxduuukmXHTRRUgkEpgzZw7uvfdefPKTnwQA7Nu3D/Pnz8cjjzyC008/vah9mawO8Hgsy/JngDVdr3k+sJQSzsHdgJUFb54D3thW0/2pNulYcN5+AwCgdCwYKQdXymtIiWzGLZ+mG0bZq16HshbeGcpCVRh64rGyZkL3DKSx85A7A9zTHMHi9vJepxS2I3AwZSKRdtM3DI1D4xwqZ5AYmdUeNh0MZmw4uVNJVON4V3sDWis4QyukRG8iDcsRRddVJtXhz6AyBiPAVSG8RXtcUQrqlUohYNs2hBDj1jgevdhvOp99QuqNnXtqAgBgDIqizGjHt8kIx4FpmgBjiETca4CZdRdE++t0cjfnsYaGKeO12r+jSTz00EM49thj8YlPfAKdnZ1Yvnw5vv/97/vf37lzJ3p7e7Fq1Sr/a4Zh4OSTT8bTTz8NANiyZQssyyrYpqenB8uWLfO3GU82m0UymSz4V4qgdYhjjIHHWgAAYrg/kLOIleSneujRsoLf0aZzkY9pucc0joQtyhv3w1qiWNzuVvPYl8zg1bcHy36tqaQtB9v7hvDsm/14/cAw+oayODBsYs9ABjsPpfD6wWH84eAwdh1KYW8ig4G0BUdKRFSOxe0xvO+wlooGvwCQTFuwHAGFMbQ1UOpDLfk383WQK8sYgxzVpp5x7tc6Hm8F+ejSSkGf6SakUmzb9oNfRVFg5NY5BSH4BcYuZhW5BXG6rvv7qmoa7CI/s8F4VxN44403cOedd2LJkiX45S9/iS996Uu47LLL8MMf/hAA0NvbCwDo6uoq+Lmuri7/e729vdB1Ha2trRNuM55169YhHo/7/+bPn1/0fjuOA8scKV+lBOSxAYs1A4wDjg1UeTFcLUnhQOYCYN5QWte3wteZXgUID+cMhlpaObTxzItHcWRXIzgDDqUsvLBnwE8JqAQpJfYm0ti6ZwB9Q1kICcQ0BfNboljUFkNPcwRzGnW0xTS0xzTMadQxLx7BER0NOGZeHMfOb8G8eLTiqQlCSgxm3M9Ta4MOJSAn47BijPl5gEG+kfYekY63aI9zDs7YhMFtKcX0Cal3XnUXLzdezaULBe7pjrc/ufOOI0TBuivvc1vseSkYkdkEhBA49thjsXbtWgDA8uXL8corr+DOO+/E5z//eX+70X8kmZsOn8xU21x33XUF7Z+TyWRRQbC3YhKA/+gtKAcRY9wtSZZOQqQHoeTqA882YugQIAWg6mWVPvNUsnSSoSrI2gJZy0GjUX7d2o4GA/pcjtf6hpCxBV7cl0RHg475LVE06OWVggHcINOb7QWAeETF4W0xNBm17/6VTJsQElA5Q0wP9CkrNBhz02CCG/66vDKVtmX5F0fvePZubCe6Fkw3/5+QejA65UfJW1wWNN7n1NtXzjksx4HjOGWlmQb6Fnfu3Lk46qijCr525JFH4s033wQAdHd3A8CYmdy+vj5/Vri7uxumaaK/v3/CbcZjGAaam5sL/hXDtnPlrhgLVPDrYVH3fcjMYKBnb8olHQtyyP1b8+Y50xr/6ZZAy+eV6/Ja905Hc0TD++bF0dnopgIcHDbxwt4EtuxJ4PUDbsm0/pSJrF3c4+lExsJL+5J+8Lu4PYaj5zajOVL749dyBBJp94ayNRbcfNOw8f4K9XAOUTUNiqK4q9lzHe28WWGWFxDny19tXstV74RUm3Ac/3Os6Xog4xZP/n5JKf0nObZtw8nFXqWck4IZ5ueceOKJ2L59e8HXduzYgYULFwIAFi1ahO7ubmzatAnLly8HAJimiSeeeAI33XQTAGDFihXQNA2bNm3CueeeCwDYv38/Xn75Zdx8880V3V+vbAiAwB5EzIi59XmFA5kdntYMaRCJ5EEA0s39NRqm9Vr5KRDTZeSVQyumLfJUVIXj3Z1NmBe38dZAGu+kTKQtB+lRAbauML9NsBvQu+kYKmdgAIZMG2nLa/UMHNnVhLYAlRfrz9X8jWgKojrV/A0KNupRZC15FSm8XF/OOVSt8CmLpuuAZfmVebw0Dk2b+mlMEM/jhFSClBJWLmZRVbXmi/VLkf9Zty3LbdRhWW6jjiJvWgMdAP/DP/wDPvjBD2Lt2rU499xzsXnzZtx111246667ALgnptWrV2Pt2rVYsmQJlixZgrVr1yIWi+G8884DAMTjcVx44YW48sor0d7ejra2Nlx11VU4+uijcdppp1V0f/MXhAQ1f4wxBhZthhzuh0j0gelRMF4/B/1kpJmGzDXcUKY5+wvkpUBU4G/JGYOucpi2QMZy0DjNANjTaKg4sqsJthDoT1kYNh2kTBspy0HaEjAdCXNUnuPoIJkB6GoyML8lGqjGEsNZ29/XNpr9DZZRjyJrxctdLKZcmaZpkKpa8Ph0IqJC+f+EBJWfrpl7Yh3UtId8+WlL+Z9j3TD8G2HhOEWvEwn0O37/+9+PjRs34rrrrsPXv/51LFq0CN/+9rfxmc98xt/m6quvRjqdxsUXX4z+/n4cf/zxePTRR9HU1ORv861vfQuqquLcc89FOp3GqaeeinvuuafidzveSbPctnwzhTe1w8kMAY4FMdAL3toT6P0thpQSTuJtALmub9Os/DD6A1YJEU0ZCYAj5ecBj0flHHMaDczJ+5ojJIZNG46QkACUXN5m1nZgCwkpgZiuoMlQ/VnioHCEwKFhtwRdc1SDpgZr/8JudC5eLYwOfpVcS/rJcnaLDWipdTKZjbyg1/vM+KkPau3XehRrdACc/3VVVQFVLbpqV6DrAAdJMXWAvcLpasAKRo9Hmhk4B98EIMEaWqedL1trIpWAGOgFGIfSuQhMmd74CyFgZt3H70akMl3M0qaNvsEMFM4wr6X6dXzrlZQSBwYzSFsONIVjbjxKYxUw/ucjrx7nTMvv6KbnGlxUitf9SlHVotIkCAm60YvdPEHoU1AKr8eCoihuatMoQgj09/ejo6OjvusA15P8ftRBTX/Ix/QIeIu7CFAO90MO90/xE8ElhYBIHgDgzm5PN/j1XhPAhItkyuHlATui/HrAYTCUtfzUh45GSn0IIv8vUuKik0rJr7ajalpFg9+Cczkde2QWGB38apoGTddhRCJ1FfwCI5/Jic47+Wuxpnytiu1VyOXn/9bLBZvH4uDN7kNzkTwAaWZqvEflkcOHAOEAigaWa/k8XdUogcQZg6G6J5t0iW2RwyJrOzg0nKv5G9Ohq/V1cg6NGp/jvOCX5TpVVVJB+lOdBQeEjCalhGmafnUq3TDcUmcBT9WciLcmpxJtyikArhCRly9aTwcVb2zzK0GIoXdqvDelk0K4dX/hlT2rzCFdrRJIXiWDSpRDm22ElDg46N6ERTUFTRXOkyaVM7oc0UzyFrsA7uxvpc+3XiesejuXEzIex7b965k+TuvvelPJc099j0SA8Ly7kkrcmcwkKXLBmGrUdkfKIDOD7ipWRatoSbdqLYLxqixkbaemC4iCKJEyYQsJhTG0N1Ym75rMbpW+mHuryAEEfh0HIVMZfbNY78EvQAFwIHHO/cdllve4oQ5IM+23ReYN8RrvTelEKgHATeeoRsBU6VfUFQ4GQEi3yQNxZSzHb+vc1mhA4RT8Bl2QagFXipc7qCgKpT+QupefzlNvub4zgQLgCvJWC5eShF1rYvAgALdDHFPq65GztE0/eGex4jr1Ff3a3kW9wkE1Y8zPay22U9tsZzsCBwbdv2ODrlK74zozW8Lf/MVv9VATlZCpeLO/sy2dp1JlGCkAriDGmN+ByLbtwKdCyGwKMpsC4FZPqDdieACA292uksF7/oeqGieNiOZ+7LI25QE7QqBvMAMh3dnxtsb6S8Mh9WGqi6U3acE4nxWPikm4SSn9dJ5ZN/tboesy3eZWmKIofq9527KgG8G9oItBd9Ebi8XB1OC0vx2PlNKt9AC3na/MDPml21ispfK/q4rcShAWspabBzyb7sxLYTsCbyfTft7vnKYIlZ2qJ4wFPv3Bm9V1chMSqqaNu/o9P1dy1gULJJRmczUTBjcSGO9arSgKItHiGmFRAFxhjDFoug4hRKBnEaQQkGZu9rexrcZ7MzEpBWR60K30YJtjvs8a28CjTeP8ZAVUqQ2qoSpgAGwhYTrCL40WJqbtoC+ZgSMlFM7Q1RyFGrBudGRy3kUoqEGwlBK2bReko9mWBeE40HS94LMthKBcSTKr5PclmHWTLBVaf0ABcBVUozZlpUkrV/OXq4Gc/ZW2BZEagEwlcjO/Y7GGVvCmjsr/bq8CRMVf2cU5Q1RXkTJtDGVsGI3BPlYqLW3ZOJDMQALQFI7OpggFv3UsmOGvm9KQv6iNMeanppnZLHTD8NuqenWFlTpqCUvIZESVSnkGgfcJne65hwLgsPIWj+nFPSqYKVI4EIm3IdODI1/kKnhDC1hDCxhXqlaibGQnqvz6ABoNNwBOmRbapB6ai27atHFg0A1+I6ripj1QxQdSYY5t+/V8VVX112ZwRfE7YnlBcP7sL5U+I7OFrKPOtCWjGWAyHV76AzOCEwBLMw3n0D5A5Baj6DE36I00FgSI1Q4Wq1UBIl9EU6BwBkdIpEwbDUZ9VeAoR9q00ZfX6GJOE9X6rWsB/dsJx4GVN6PrBb+AGwzohuEHwdnMSPdLmv0ls0VB/u8sDID9KhDTfB0KgEPKa3vMtGAEwNI24byzB5ACUDQorXNrNjvtfaiqeSlkjKHBUJFMW0hmLMT02X3xLQh+dQVzqNFF3fP/egHKAfbavgLuhX+8GV3OOXRd97cDchV8aPaXzBJ++kOV1rHUWqXOPbPv1mAGOY5Tcrkzb7Vx/mO3mmDlZdFIKSGGByAyQxXbFSklnP79bvCrR6HMOTxwqRnV0BTRwACYtkDKrI+60eXw0h6A3MwvBb+zgn/mmOG/Zf5F3SvzBLjnESsX1HqLkSc6zrii+DPDiqL4+cCEzAazOf8XgH/OmW4MRbe8ZZJC+CdboDDPbKLtbduG4zj+wgvOec3aEzItApkdhrSyRQebUgiIgf2QueCXdS4GU6f/6F4MHgSsDMC4O/Nb4w9tpRLsp6JyjuaojkTaRH/KnJWzwMNZCweHsgAo7WG2qfZi0ckoigI7l+eb34HTu/BPFvx6VFUdtyQaIfVuVuf/YuR9eWUOy32fs3N0ZsDoWV/btie8G7EtC9ls1q9Dqek69NwJOj+InlGaW5/YrwZRhPzgFwBErg7vdIjMMOTQIQAAb+kORje6GWzx2hzVoDA3F3ggVaNjoQocIXBgMEPB7ywmazjL5HVq82Z9s5lMQfBb7AWRjkcy2+R3NJytATBjzH9vjlN+Q6nZOTozIL9lpncSHf2H8E7Otm1DVVXohgFVVcE5dx/BqWpBt5aZxPwAOFvU9tLKjsz8Nrpd42Qq4V8Ey+HNKANuM46q1fMtUaUS7IvBGUNbg/u3SGYspOs8FUJKiWTaxN7+lJ/WEY9qFPzOMtXuljiV/K6b+fmOumEEvgQlIdWUPzk3m8+53k2wM8nk41QoAC5T/h3WRH8IL99X1bRxVxj7XcBqcQHRIu5/2NmiDh6/7XCk0W2brOqAFJCpgbL3QaaTbo1fRQOPd5b9OlUzQznaMUNFo+EeQweHsrCcYLfQnogjJA4MZtCfMiEB6CpHdzyKlhjlV842tQ6AATcNQlEUcM7dp2qGMWtnvAgpVn7749l83s3/rHtrqmzLgm1ZRQfEdLYow+gSI96MQ/6jB8D9o3hNMUYfiF6pnpqt0lS0kVam43RYyyeFA5lOAIBblowx8IZWAIBIHoTIDpe1CyLlviZvaAFjwTkUWYUS7EvR2mBAUziElG574DoLgk1boDeRQtpyT75tDQa6m6Oh7HIXBlWvxV0Eb6GbN+s7my/2hBRDSgnHm5yb5U9C8huOeYGvty6g2CfTwYk66oh3h+UFr4wxfxY4fyHGeGSuL71t20DuMV6tHiEil28rnckfu8tUwg2UVR1Mj7k/H4uDRRoBSIhDeyFSCUjbhBh8p6iAWFoZd+EbABZtnt6bqbD8v8dMBcGcMXQ1R6DmagP3JtLIWjOfGlOOlGmjN5GCLdy2xt3xqFvhggKSWauW+b+EkPFJKf0nl2F4GqKoKpArKpCfglpsXvDsH6EqGC/B3MvtBeAXWVdVFRKAlbszsSwLVl6HIq1GFSA8TMkVARETB8DSsSEG3wEA8IZWP6hhjIG3znUDYikhBnrh9O2EGDwIcWjvlEG1N/vLIk0j+xFyCufoao5CUxgcKdGbTGMoY9V6tyYkpbtwz+vsZqgcc+MxmvUNAf8JGN3kEBIY3uQc5zwUExCccxiG4d+Ie7PeFABXiRTCH9z8Rwyj6056Qa6uubVebctyA+dcYByIfDWeCzwnCVZFos+tz6tFwGLxgu8xxsHb54E3zwG8FAbG3YB48OCEryml9Fsdj37NIKjFDLBHVTi6m2OIau6x9c5wFoeGi8vTnklCShwcyiKRdtNnmiIaupqjUKitcSiIAKRAEEIKjRebzHaMMei6DiMSgaZpJa2poqm3ElmW5d5x5JXh8Hgrky3ThJOr/MAVxa34EIBFI2PkZl4nmq0VmSHIjBuoKi1d4+43YxyssQ2socXPJ3YOvulWiGhoGVlsl8/OuovfGAczYhV7OxXl5UfXAOcMc5oiSKQtJNImBnOzwF61iFqzHIGDgxmYuTzltgYDTZEAlK8jM0JKSSkQhASMzGuuFbZKKPmxSSnvnc5eJZqq0Hr+o4fR5UhGL3ir9ayeX3PXGfuYXUoJkTzgbtfQOn4gm/9ajINxBUyPgkXccmYi0Tfue5RWbtGdFtzqAH4zjBr9jRhjaInp6Gh0g97BjIWhbO3SIRwhMJDKoi+Zxv6BFExHgDOgqzlCwW/IhKXMEiH1xMm7KQ3z57KUJ+s0A1xh3syw1+54orsRr2KEbVluOZ9xyqRVfV9V3d2XcapAyFTCrQ7BFbfsWQl48xw4mSFIMw2ZGRy7yC2Xcxzk3F+vW1+tb1IaDA2WI5BIWzg0lIWucOgzmGMrpMRgbiY6fyQimoL2BgOqQvfQYSKlhGW5N2K1OGcRQsY325tfVAONVBV4B+BkDS6E48AyTbd2nW3Dtmowu5cLgOFYkHJkVkdKObLwrbEdjJcWcDFVA29qA5CbBRajGoR4KRc82AEwUPtZegCIR3VENAUSwIHBDISo/j5JKTGctbBvIIWB9Ehd39aYjq7mKDqbIhT8hpBtWUCufrmqBvfzS0jYzPb2x9VAI1UFfIK6wPkUVYURifjdjBzH8RfOzRiujCxey58FlmJklrbMRWqssc0tsyYcdyFdPsebAQ7uo/MgBcCMMXQ0RqBwBltIvDNcXPe+cgghMZixsD+RxsGhLJxcabP2Rreub3MuGKeZv/CxbdtfZFOr8o2EkLHy83/DHgAzxopeBBjukaqS/D/AZEGtN4vizaSU0sGkEhhj/ixwQRqElxPMlbIXuTDGobR0u6+dTkKkk/73pFd2LeApEEAwAmAAUDjDnEY3Dztl2n6b4UqRUiKRNrGnfxiHht1udJy5s889LTE0GhTwhJWX9mDnpT6EbZENIUHm5LUDD/t5mnMOXdeL27bK+xJaau4CIRxnyiAqP5dusiYa1cBUbyHcSEDld1EpMfVhzGsbMbBGN39YDPRCWtmC31VqasVM8k8iAQmAAcDQFDTnFpwlUmbFgnPLEehNpDGQa2GsKe4CvHktDWiJ6VTrNcSklH5VG8A9V1HqAyHB4bUABsJX/WG6Ah0A27aNr371q1i0aBGi0SgWL16Mr3/96wVBopQSa9asQU9PD6LRKFauXIlXXnml4HWy2SwuvfRSdHR0oKGhAWeddRb27NlT1X3PnzmdKlDJL6k2Wd5wVfDxSqFVLujjTe1+swynf58bXNfBDDACNgPsaY66AbDpCGTt6d8spXNd3LyqDu2NBubGY4hHdXCq6RtqQgiY2exI5RtNg0apD4QEiveUOb8jLSlOoAPgm266Cd/97ndxxx134Pe//z1uvvlm/PM//zNuv/12f5ubb74Zt912G+644w4899xz6O7uxoc+9CEMDg7626xevRobN27EAw88gKeeegpDQ0M488wzi+4WUo78RxHFBFFeysSMzwD73eDGG4vpX+i8jnHgCmCbEInekVnVIC+Cy/vvIAXBCudoNNxx85pQlGswY6FvMAMhR7q4UaoDAdwbca+jJWMMumHQxZWQgJFS+k9nKC+/dIEOgH/729/i7LPPxhlnnIHDDz8cf/VXf4VVq1bh+eefB+D+8b/97W/jK1/5Cs455xwsW7YM69evRyqVwv333w8ASCQS+MEPfoBbb70Vp512GpYvX44NGzbgpZdewmOPPVbV/fdmdf0ucEVsO+Olt7w0hPx2yBX+9UxRwVt73JfOdYADY8Euoh/gE0lz1M1vylgOMlZ5N3GJlIlDucV0DYaKruYoVXUgANwFuabp3lwxzoPRtZIQMkZ+rECf0dIFesROOukk/OpXv8KOHTsAAC+++CKeeuopfPSjHwUA7Ny5E729vVi1apX/M4Zh4OSTT8bTTz8NANiyZQssyyrYpqenB8uWLfO3GU82m0UymSz4VypvxkRKCTObnXTGOX/GeEbTICZLgahgDMiNWGE94ADP/gadpkxvFjiZNjGQ+7nmqIb2huA2JCEzSwgBKxf8eotJ6NggJJi8AJgWv5Un0FHINddcg0QigaVLl0JRFDiOgxtuuAGf/vSnAQC9vb0AgK6uroKf6+rqwu7du/1tdF1Ha2vrmG28nx/PunXrcP31109r/znnMCIRWKbpN73gk3Rp4YoCx7bhCIGZSmVnXtK8cPzHnSMLvyr7geLNc+B41SDGTbkIJn9cAqQ5qmMoayNjOSXtn8hVewDcCg8tseJWy5LZz1vwBrjnrom6XRJCgiE/ACalC/QM8I9//GNs2LAB999/P7Zu3Yr169fjlltuwfr16wu2G/3HLyYgmGqb6667DolEwv/31ltvlfUeGGPQciU5JqsLDBQ20JixNAglFwAJZyQNQnolVSp7eDBF9WeBS+0uV0tBPLmonPlZGpZTfN74YMaCkO7Px6PBrcNMZp6Td96h4JeQOkAB8LQEegb4y1/+Mq699lp86lOfAgAcffTR2L17N9atW4fzzz8f3d1undne3l7MnTvX/7m+vj5/Vri7uxumaaK/v79gFrivrw8f/OAHJ/zdhmHAMIyKvA9vdaZj27Bte8JSJXxU5YiZOKgZ54BmAFYW0syARTU/AEYVcop4SxdktAnMaKj4a1dS/g1IEE8ujDEYquLnARfTHtkREklv9jdGAQ4ZIRzHL6VEi2kIqQ/+dYo+r2UJ9AxwKpUak9itKIo/i7po0SJ0d3dj06ZN/vdN08QTTzzhB7crVqyApmkF2+zfvx8vv/zypAFwpXm1M6UQI3V2R6lVOTSmRd19M9PuF7z9q/AMMODOKvNIY/AvsHVwZx3V3KA3XeRCuGTGhJBuDnGDHuh7XzJDpJQFi94451RLlJA64ScrBvg6NRO8Zj1mNotsJgOtyIo1gb4KfuxjH8MNN9yABQsW4D3veQ9eeOEF3HbbbfjCF74AwP2jr169GmvXrsWSJUuwZMkSrF27FrFYDOeddx4AIB6P48ILL8SVV16J9vZ2tLW14aqrrsLRRx+N0047bcbei5ek7qVBKBPMrvJcgO84jt8muer7pkcgUyMB8MhdZaDvj6rKn/8N8IklkguAs0XkAdtCYDDtzvC10OwvQa7Or2kW3OxR6gMh9cPPAa7xftSSyN3AexOInHNYk3TgzRfoAPj222/HP/3TP+Hiiy9GX18fenp6cNFFF+H//b//529z9dVXI51O4+KLL0Z/fz+OP/54PProo2hqavK3+da3vgVVVXHuuecinU7j1FNPxT333DPjMx2c84I8u/EonMPGSDm0GUmD0N0ZYFgZSMeGzA65Xw9yo4pqq4MTi6ZwMLjBui0kNGXivc1YTq7LG/dnjkm42bbtH+eKolDqAyH1hlIgYFkWFEXx11oBgEini/pZJoNU5T/Akskk4vE43u7tRXNzc1m1MU3ThMjN7E7UTlRKiWwmAwAzWn/T7tsF2FkwPQZppgDGoHQuDm0Q7Ng2rFzVDr1CueDV8OY7Q5AA5rXEJq3jO5DKIpG20GioaG+MzNwOkkCSQiCbdetAU51fQupTJhfohfkznEmnx7x/L15LJBJobm6e8GfDOWK1UsSsYkEe8Ax2heMx9yCRZsrdj1hLaINfACOtkGu8G1Mpdv9sx92Sml0QYKR9qvfIkBBSXwoWatdwP2qNMVZ2rBTiCGd6yklRKHbFJuMcmGSxXDWwhhZwMEgntximjsqUVVW9PCCZ4jC0c8eSysN8qiTAyMI3ANTemJDZIMQpEIqqwrYsSCHAFaWkpiB09ivBE48/7ucWewXjGWNQVbWiFxLOORzM7AwwYxyssXXqDUlglDIDQDPAxJN/XqHZX0LqVL1MzlSZqqpgcJ9qeTf2apHru+jsV4KtW7cincu5UTUNmq67Kw4ty3+kOJliS5Z4FyVvlpnMPO9v5JVXCfrfYbLdc4SEk9tApYCHUPtUQupe/ik/7J9jRVVhRCL+v2KrQNDVsAT/cMUVBblz3spDVdPgFDPgZQRRQQ+8ZivOuT+r79g2spmMf3cZFIwx8NyJT0xynGTt3F0xZ1AoBSL0eG52ZKrOlISQ4At78Juv1Jt6CoArgHNe0UA1/49IAXDtqKpaUBfVMs3AzQZ7Aa0jpg6ADSp/RlC40LaoG3dCSOAE6TpUrygArgDHtku66yhmS+alQdAMTc0wxqAoCnTD8GtGO3l5RkHgB8CTnAwzpru/kSLaJZNw8MowTlWXnBBCZisKgEuwdcsWGLmasI5twzJN/9G4NkXXtoKLTBHBMs0AB4fXIcsLGmzLCsyjY4VNPgNsOwKm4+5rVKcAmLi4ovg32XbAnmoQQkpAKRBlowC4BP/10EMjM4FCQEoJrigwIhE/r65SKAAOHkVV/UfHZjYbiL+Nmuv+NpixYNqFM9O2I3Bg0G2qYqh8wvbbJJzyZ4Et0wzE8UwIKVIddCsNOuoEVySvs8jAwIDfWaTU5PNSurbUSyeysJFS+sEvVxToee0Xa8ERAr2JNGwhwQA0RTQYmgLLEUikTUgJcMbQ1RyFrlIATArZtg3bsgC4axnyc94JIcFVUAaTPrMFqBNclXgL1Mo64Er5mTrpRBY2XjoEAAjHqXk+sMI5uuMxGKoCCSCZsXBgMIOBlBv86ipHd5yCXzI+VVX9G2whBESA8tsJIRObVixCAFAjjBnF4Aa0JU260wR94Hgl0pzc7BnnvKYnIYUzdDVHkDJtpEwHtiOgcIaIpqApotEJkkyKcw5VVWF7T51y3ZQIIWQ2owB4JjFGAe0soeYCYK+WqlLhHPBSMcbQYGhoMCZfjEnIeBRV9StC2LY95aJeQgipd/RcdAZ5cyqUdl3/GGN+o4yg1QYmpFSMMai5oNe7sSOEkNmMAuAaKKoOcNX3gkyXqqr+rH6tc4EJmS7Oub/2IChl/gghpFooAA4qysELPMZYQW1gmjUj9cxr/AKAbugIIbMeBcABR0FVsCmK4t+sUNBA6p0XAAvqEEdI4HhrTrx/Ukr6nE4DLYIrwQtbt0JTVZjZLBjnUPO6KRXDP0xpdnfW8GaBbcuCbVlQaAU9qWP5x66Uko5lQgLCyZXdlLn0JAk3VdJbj1LrakRBwoscB5oBLsF9998PRwgwxiAcB9lstrS6mXSnNivlzwLbtl3jvSGkfIwxv0mPQ8cyIYHgdWuElFBUFaqqQlPVkYXYpulXcQk727aLrspEAXAJbrnlFgghoOk6jEgEiqrCynVRKkVJ92h0Rxd4jDG/bJRj29RMgNQ1Ja9FMi2GI6T2bMuCkmtao+YCXy8Q1g0Dqqa5N6wUAMOx7aLTESkAngZFUYq+4yrI1SkiqJXU57uuKIri33Wapkl34qRuKYoCnjuWLTqWCak5KaX/ZGY8XixCn9RcnnSR5ywKgKdB5NIhSlXSz9AMcN1QtZGua2Y2S4EDqVta7liWUtINHSE1xjl3ny7mFr55vIk14TgAtUUGkMuJLnJtFgXAJTju/e8HY8zPx/EeSxQj/6At5iClGeD6wxiDpusA3L8fzZ6RelVwLAtBxzKZtYQQgc+fVTXNvaZYFmzb9v85jgPbsmBZll+SM+w0TZt0tjwfk0H+qwdIMpmEwrm/0tLrnFRssrVj27AsC4xzGIYx5fZ27kDnigI9dyEi9UE4DkzTBDDSYYtW6JJ65C++gdv4RaUWyWSW8Np+O7btP+3w8mqDeK4WQow7C8w5d3OCi4xFwiCZTCIejyORSKC5uXnC7eiWoQRHLFmC7du3o6mpqeQPiHe4FvtTpW5PgoMrCjRd92fNLNP0mwwoAT25EjIeRVEgNa3ghrzY2RVCgsyyLEgh/IksIYTb0IhzsIAFk14OMKfJsIqiM1kJent7AZSYwztasT/rpUBQsFSXFEXxK4UAI7MN2UwGZjYLe5w7eUKCSMkLeikVgswGjuNAOA5UTfNnfIPcBZHigOqgGeCZUuJFg5pm1D+vPJqqqm4Rc9su6OSTvx3NDpOg8vKBs5mMfyOnUSoECSAvnxcovHEbzbZtd0Z19PcZo2tuiFAAXKL8cmZlVYAo/heVtj0JLK9bnKqqbvCbq6/qBcFeUOE9YvZmJCgYJkHhBcGWacKx7cDmSZJw8haI5ddgl1KOu35GCOGmPuh6wTHsnY/r4agudVE9GR8FwCXKZjLI6jp0wyjpwCv1oWEpNYNJ/Rg96yClLGhxKRwHpuOAcV7SalZCqs1byOkds7TqnASBGFWlJH/B8XjtvIXjuB0PR7X9Fo4DSOnXwA4y7z0Xu6iejI/OYDOk3DCWwt/ZbfTssJ3rJCeFgJnN+jPCFAiTWmOMgSuKm8pDHeJIjUkh3Flfb+Y295RiqnOldxOHUbO/jhDjp0UEEJVJrYya/qWffPJJfOxjH0NPTw8YY/jZz35W8H0pJdasWYOenh5Eo1GsXLkSr7zySsE22WwWl156KTo6OtDQ0ICzzjoLe/bsKdimv78fn/vc5xCPxxGPx/G5z30OAwMDVX53o+Q+bN6d21SJ9jQDHD6cc+i5NtveLIRwHJjZrDvDQUEHqTF/Zq3G+0HCzWvQ4gW/XFGgG0ZRwSvLzRD7KWi58mIAiq7rX3MUH4whpYSZzfprFYpR0wB4eHgY733ve3HHHXeM+/2bb74Zt912G+644w4899xz6O7uxoc+9CEMDg7626xevRobN27EAw88gKeeegpDQ0M488wzCwLM8847D9u2bcMvfvEL/OIXv8C2bdvwuc99rurvL593mHqPD4tdTU2Hd/gwxqDn0my8E7rjOMjmAmGqHkFqJf/RMiG1MLrJkG4Y0Efl807Ge5JhmSay2Syyua6d9fSkjcqkFvKOCe/aaFtWUT8XmEYYjDFs3LgRH//4xwG4b6inpwerV6/GNddcA8Cd7e3q6sJNN92Eiy66CIlEAnPmzMG9996LT37ykwCAffv2Yf78+XjkkUdw+umn4/e//z2OOuooPPPMMzj++OMBAM888wxOOOEEvPbaa3j3u99d1P55hZXf7u1Fc3Nz0XebnvyC8p6JXkNKiWwmAwAwIhFKcg854Th+2bR83kI577FdPeSukfrmNXlhjMGIRGq9OyQkpJSQQoBxXrDYrdTrcD5vQTLLa3A1+ncKIQLZYMJ7iqyoKlVkwUjjME8ymURXd3f9NsLYuXMnent7sWrVKv9rhmHg5JNPxtNPP42LLroIW7ZsgWVZBdv09PRg2bJlePrpp3H66afjt7/9LeLxuB/8AsAHPvABxONxPP300xMGwN6doSeRSABwZ60559ByF4FijZeor2azEwbAlmlCAsiW+HvI7CUcB3aufuVodCIkM0EKAdOywBhDdtQNPSHVIqWEY9tQVNWf6dN0HWaRM33l/D7TNN3rdAArnnhrRbzymWFnW5Z/QyCFwNDQEICpn1QFduS8phNdXV0FX+/q6sLu3bv9bXRdR2tr65htvJ/v7e1FZ2fnmNfv7Oz0txnPunXrcP3114/5+uJ3vau0N0IIIYQQQmbU4OAg4vH4hN8PbADsGe+xxFR3Y6O3GW/7qV7nuuuuwxVXXOH/vxAChw4dQnt7e03vBpPJJObPn4+33npr0qn9MKExGYvGZCwak7FoTMaiMRmLxqQQjcdYQRoTKSUGBwfR09Mz6XaBDYC7u7sBuDO4c+fO9b/e19fnzwp3d3fDNE309/cXzAL39fXhgx/8oL/N22+/Peb1Dxw4MGZ2OZ9hGGPq67W0tJT9fiqtubm55gdZ0NCYjEVjMhaNyVg0JmPRmIxFY1KIxmOsoIzJZDO/nsAueVy0aBG6u7uxadMm/2umaeKJJ57wg9sVK1ZA07SCbfbv34+XX37Z3+aEE05AIpHA5s2b/W2effZZJBIJfxtCCCGEEBIeNZ0BHhoawh/+8Af//3fu3Ilt27ahra0NCxYswOrVq7F27VosWbIES5Yswdq1axGLxXDeeecBcCP8Cy+8EFdeeSXa29vR1taGq666CkcffTROO+00AMCRRx6JD3/4w/jiF7+I733vewCAv/3bv8WZZ55ZdAUIQgghhBAye9Q0AH7++edxyimn+P/v5dyef/75uOeee3D11VcjnU7j4osvRn9/P44//ng8+uijaGpq8n/mW9/6FlRVxbnnnot0Oo1TTz0V99xzT0Hpkvvuuw+XXXaZXy3irLPOmrD2cNAZhoGvfe1r1P4wD43JWDQmY9GYjEVjMhaNyVg0JoVoPMaqxzEJTB1gQgghhBBCZkJgc4AJIYQQQgipBgqACSGEEEJIqFAATAghhBBCQoUCYEIIIYQQEioUANeRHTt24Oyzz0ZHRweam5tx4okn4te//nXBNm+++SY+9rGPoaGhAR0dHbjssstgmmaN9nhm/M///A+OP/54RKNRdHR04Jxzzin4fhjHBACy2SyOOeYYMMawbdu2gu+FaUx27dqFCy+8EIsWLUI0GsW73vUufO1rXxvzfsM0JgDwb//2b1i0aBEikQhWrFiB3/zmN7XepRmzbt06vP/970dTUxM6Ozvx8Y9/HNu3by/YRkqJNWvWoKenB9FoFCtXrsQrr7xSoz2eWevWrQNjDKtXr/a/Ftbx2Lt3Lz772c+ivb0dsVgMxxxzDLZs2eJ/P0zjYts2vvrVr/rn0sWLF+PrX/86hBD+NnU1HpLUjSOOOEJ+9KMflS+++KLcsWOHvPjii2UsFpP79++XUkpp27ZctmyZPOWUU+TWrVvlpk2bZE9Pj7zkkktqvOfV85//+Z+ytbVV3nnnnXL79u3ytddekw8++KD//TCOieeyyy6TH/nIRyQA+cILL/hfD9uY/PznP5cXXHCB/OUvfyn/+Mc/yv/6r/+SnZ2d8sorr/S3CduYPPDAA1LTNPn9739fvvrqq/Lyyy+XDQ0Ncvfu3bXetRlx+umny7vvvlu+/PLLctu2bfKMM86QCxYskENDQ/42N954o2xqapI/+clP5EsvvSQ/+clPyrlz58pkMlnDPa++zZs3y8MPP1z+6Z/+qbz88sv9r4dxPA4dOiQXLlwoL7jgAvnss8/KnTt3yscee0z+4Q9/8LcJ07h885vflO3t7fLhhx+WO3fulA8++KBsbGyU3/72t/1t6mk8KACuEwcOHJAA5JNPPul/LZlMSgDysccek1JK+cgjj0jOudy7d6+/zY9+9CNpGIZMJBIzvs/VZlmWnDdvnvz3f//3CbcJ25h4HnnkEbl06VL5yiuvjAmAwzom+W6++Wa5aNEi///DNibHHXec/NKXvlTwtaVLl8prr722RntUW319fRKAfOKJJ6SUUgohZHd3t7zxxhv9bTKZjIzH4/K73/1urXaz6gYHB+WSJUvkpk2b5Mknn+wHwGEdj2uuuUaedNJJE34/bONyxhlnyC984QsFXzvnnHPkZz/7WSll/Y0HpUDUifb2dhx55JH44Q9/iOHhYdi2je9973vo6urCihUrAAC//e1vsWzZMvT09Pg/d/rppyObzRY8spkttm7dir1794JzjuXLl2Pu3Ln4yEc+UvC4JWxjAgBvv/02vvjFL+Lee+9FLBYb8/0wjsloiUQCbW1t/v+HaUxM08SWLVv8xkCeVatW4emnn67RXtVWIpEAAP+Y2LlzJ3p7ewvGyDAMnHzyybN6jP7+7/8eZ5xxht9J1RPW8XjooYdw7LHH4hOf+AQ6OzuxfPlyfP/73/e/H7ZxOemkk/CrX/0KO3bsAAC8+OKLeOqpp/DRj34UQP2NR007wZHiMcawadMmnH322WhqagLnHF1dXfjFL36BlpYWAEBvby+6uroKfq61tRW6rqO3t7cGe11db7zxBgBgzZo1uO2223D44Yfj1ltvxcknn4wdO3agra0tdGMipcQFF1yAL33pSzj22GOxa9euMduEbUxG++Mf/4jbb78dt956q/+1MI3JwYMH4TjOmPfb1dU1695rMaSUuOKKK3DSSSdh2bJlAOCPw3hjtHv37hnfx5nwwAMPYOvWrXjuuefGfC+M4wG415g777wTV1xxBf7xH/8RmzdvxmWXXQbDMPD5z38+dONyzTXXIJFIYOnSpVAUBY7j4IYbbsCnP/1pAPV3nNAMcI2tWbMGjLFJ/z3//POQUuLiiy9GZ2cnfvOb32Dz5s04++yzceaZZ2L//v3+6zHGxvwOKeW4Xw+qYsfES7z/yle+gr/8y7/EihUrcPfdd4MxhgcffNB/vTCNye23345kMonrrrtu0tcL05jk27dvHz784Q/jE5/4BP7mb/6m4HuzYUxKMfp9zeb3OplLLrkEv/vd7/CjH/1ozPfCMkZvvfUWLr/8cmzYsAGRSGTC7cIyHh4hBN73vvdh7dq1WL58OS666CJ88YtfxJ133lmwXVjG5cc//jE2bNiA+++/H1u3bsX69etxyy23YP369QXb1ct40AxwjV1yySX41Kc+Nek2hx9+OP73f/8XDz/8MPr7+9Hc3AzAXcW9adMmrF+/Htdeey26u7vx7LPPFvxsf38/LMsac0cWZMWOyeDgIADgqKOO8r9uGAYWL16MN998EwBCNybf/OY38cwzz4zpx37sscfiM5/5DNavXx+6MfHs27cPp5xyCk444QTcddddBdvNljEpRkdHBxRFGTPb29fXN+ve61QuvfRSPPTQQ3jyySdx2GGH+V/v7u4G4M5ozZ071//6bB2jLVu2oK+vz0+nAwDHcfDkk0/ijjvu8CtkhGU8PHPnzi24vgDAkUceiZ/85CcAwnecfPnLX8a1117rn3ePPvpo7N69G+vWrcP5559fd+NBAXCNdXR0oKOjY8rtUqkUAIDzwkl7zrk/E3rCCSfghhtuwP79+/2D79FHH4VhGAUntqArdkxWrFgBwzCwfft2nHTSSQAAy7Kwa9cuLFy4EED4xuQ73/kOvvnNb/r/v2/fPpx++un48Y9/jOOPPx5A+MYEcEsZnXLKKf5TgtGfo9kyJsXQdR0rVqzApk2b8Bd/8Rf+170UqzCQUuLSSy/Fxo0b8fjjj2PRokUF31+0aBG6u7uxadMmLF++HICbO/3EE0/gpptuqsUuV9Wpp56Kl156qeBrf/3Xf42lS5fimmuuweLFi0M1Hp4TTzxxTHm8HTt2+NeXsB0nqVRqzLlTURQ/Bqm78ajJ0jtSsgMHDsj29nZ5zjnnyG3btsnt27fLq666SmqaJrdt2yalHCnldOqpp8qtW7fKxx57TB522GGztpSTlFJefvnlct68efKXv/ylfO211+SFF14oOzs75aFDh6SU4RyTfDt37pywDFpYxmTv3r3yiCOOkH/+538u9+zZI/fv3+//84RtTLwyaD/4wQ/kq6++KlevXi0bGhrkrl27ar1rM+Lv/u7vZDwel48//njB8ZBKpfxtbrzxRhmPx+VPf/pT+dJLL8lPf/rTgS3nVA35VSCkDOd4bN68WaqqKm+44Qb5+uuvy/vuu0/GYjG5YcMGf5swjcv5558v582b55dB++lPfyo7Ojrk1Vdf7W9TT+NBAXAdee655+SqVatkW1ubbGpqkh/4wAfkI488UrDN7t275RlnnCGj0ahsa2uTl1xyicxkMjXa4+ozTVNeeeWVsrOzUzY1NcnTTjtNvvzyywXbhG1M8o0XAEsZrjG5++67JYBx/+UL05hIKeW//uu/yoULF0pd1+X73vc+vwRYGEx0PNx9993+NkII+bWvfU12d3dLwzDkn/3Zn8mXXnqpdjs9w0YHwGEdj//+7/+Wy5Ytk4ZhyKVLl8q77rqr4PthGpdkMikvv/xyuWDBAhmJROTixYvlV77yFZnNZv1t6mk8mJRS1mLmmRBCCCGEkFqgKhCEEEIIISRUKAAmhBBCCCGhQgEwIYQQQggJFQqACSGEEEJIqFAATAghhBBCQoUCYEIIIYQQEioUABNCCCGEkFChAJgQQgghhIQKBcCEEDKLrVy5EqtXr671bhBCSKBQAEwIIQQA8Pjjj4MxhoGBgVrvCiGEVBUFwIQQQgghJFQoACaEkJDYsGEDjj32WDQ1NaG7uxvnnXce+vr6AAC7du3CKaecAgBobW0FYwwXXHBBDfeWEEKqhwJgQggJCdM08Y1vfAMvvvgifvazn2Hnzp1+kDt//nz85Cc/AQBs374d+/fvx7/8y7/UcG8JIaR61FrvACGEkJnxhS98wf/vxYsX4zvf+Q6OO+44DA0NobGxEW1tbQCAzs5OtLS01GgvCSGk+mgGmBBCQuKFF17A2WefjYULF6KpqQkrV64EALz55pu13TFCCJlhFAATQkgIDA8PY9WqVWhsbMSGDRvw3HPPYePGjQDc1AhCCAkTSoEghJAQeO2113Dw4EHceOONmD9/PgDg+eefL9hG13UAgOM4M75/hBAyk2gGmBBCQmDBggXQdR2333473njjDTz00EP4xje+UbDNwoULwRjDww8/jAMHDmBoaKhGe0sIIdVFATAhhITAnDlzcM899+DBBx/EUUcdhRtvvBG33HJLwTbz5s3D9ddfj2uvvRZdXV245JJLarS3hBBSXUxKKWu9E4QQQgghhMwUmgEmhBBCCCGhQgEwIYQQQggJFQqACSGEEEJIqFAATAghhBBCQoUCYEIIIYQQEioUABNCCCGEkFChAJgQQgghhIQKBcCEEEIIISRUKAAmhBBCCCGhQgEwIYQQQggJFQqACSGEEEJIqPx/qCFnnjuKD0UAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 800x1200 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "month = 'July'\n",
    "levs = np.arange(-80,85,10)\n",
    "\n",
    "fig, axes = plt.subplots(4,1, figsize=(8,12))\n",
    "\n",
    "for num, flux in enumerate([flux_total_computed,\n",
    "                             flux_mmc_computed,\n",
    "                             flux_stationary_computed,\n",
    "                             flux_transient_computed]\n",
    "                           ):\n",
    "    CS = flux[month].plot.contour(ax=axes[num],\n",
    "                                  yincrease=False, \n",
    "                                  levels=levs,\n",
    "                                 )\n",
    "    axes[num].clabel(CS)\n",
    "\n",
    "axes[0].set_title('Total momentum flux $[\\overline{uv}]$ (July)')\n",
    "axes[1].set_title('Momentum flux by MMC $[\\overline{u}][\\overline{v}]$ (July)')\n",
    "axes[2].set_title('Momentum flux by stationary eddies $[\\overline{u}^* \\overline{v}^*]$ (July)')\n",
    "axes[3].set_title('Momentum flux by transient eddies $[\\overline{u^\\prime v^\\prime}]$ (July)');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56ea2372-f4a8-4668-baeb-52e16b052c6e",
   "metadata": {},
   "source": [
    "The transient eddy term dominates the Southern Hemisphere winter. As usual, the stationary eddy term is small in this season (winter in the South, summer in the North)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c2a5b27-48cc-4a81-98bb-b320c4ee4b89",
   "metadata": {},
   "source": [
    "### A vertically integrated view"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68a860ed-6fbe-4203-a494-63693943558e",
   "metadata": {},
   "source": [
    ":::{figure-md} markdown-fig\n",
    "<img src=\"../images/PO_fig11.8.pdf\" alt=\"Northward transport of momentum\" class=\"bg-primary mb-1\" width=\"800px\">\n",
    "\n",
    "Meridional profiles of the vertical- and zonal-mean northward transport of momentum by all motions (a), transient eddies (b), stationary eddies (c), and mean meridional circulations (d) in units of m$^2$ s$^{-2}$ for annual, DJF, and JJA mean conditions. Source: {cite:t}`physicsofclimate`\n",
    ":::"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95a420fd-6604-46ab-9980-256f072ba1c5",
   "metadata": {},
   "source": [
    "## Streamlines of angular momentum flux"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5c82ab1-7c1f-414a-b6f4-5367e620506f",
   "metadata": {},
   "source": [
    "In the long term mean, we suppose there's a steady state at each latitude\n",
    "\n",
    "$$\\frac{\\partial [\\overline{M}]}{\\partial t} = 0 $$\n",
    "\n",
    "so the steady-state budget looks like\n",
    "\n",
    "$$0 = -\\frac{1}{a\\cos\\phi} \\frac{\\partial}{\\partial \\phi} \\left( [\\overline{vM}] \\cos\\phi \\right) - \\frac{\\partial}{\\partial p} \\left( [\\overline{\\omega M} ] \\right) - g \\left[ \\frac{\\partial \\overline{Z}}{\\partial \\lambda} \\right] + a \\cos\\phi \\left[ \\overline{F_u} \\right] $$\n",
    "\n",
    "Now for notational convenience, let's wrap all our torques together like this:\n",
    "\n",
    "$$ \\frac{\\partial [\\overline{\\tau}]}{\\partial p} = \\frac{g}{a \\cos\\phi} \\left[ \\frac{\\partial \\overline{Z}}{\\partial \\lambda} \\right] - \\left[ \\overline{F_u} \\right] $$\n",
    "\n",
    "and subtract out the planetary angular momentum flux since it can't contribute to net poleward transport of absolute angular momentum.\n",
    "\n",
    "The budget becomes\n",
    "\n",
    "$$ 0 = -\\frac{1}{a\\cos\\phi} \\frac{\\partial}{\\partial \\phi} \\left( [\\overline{vM_r}] \\cos\\phi \\right) - \\frac{\\partial}{\\partial p} \\left( [\\overline{\\omega M_r} ] + a \\cos\\phi [\\overline{\\tau}] \\right) $$\n",
    "\n",
    "Let's now define an *angular momentum streamfunction* $\\psi_M$ as follows:\n",
    "\n",
    "\\begin{align*}\n",
    "2\\pi a \\cos\\phi [\\overline{vM_r}] &= -\\frac{\\partial \\psi_M}{\\partial p} \\\\\n",
    "2\\pi a^2 \\cos\\phi \\left( [\\overline{\\omega M_r}] + a \\cos\\phi [\\overline{\\tau}] \\right) = \\frac{\\partial \\psi_M}{\\partial \\phi}\n",
    "\\end{align*}\n",
    "\n",
    "(This defintion should satisfy non-divergence in the $p-\\phi$ plane. Does it?)\n",
    "\n",
    "The streamfunction $\\psi_M$ is a function in the $(\\phi, p)$ plane whose contours give the direction of the angular momentum transport."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1a746cd-fc36-4ee2-bfc7-5469a56b1f46",
   "metadata": {},
   "source": [
    "### A plot of the streamlines\n",
    "\n",
    "This gives a visual sense of the direction of angular momentum transport by various components of the flow:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e47b988e-3ee8-4d1a-9fd9-7ce765623206",
   "metadata": {},
   "source": [
    ":::{figure-md} markdown-fig\n",
    "<img src=\"../images/PO_fig11.13.pdf\" alt=\"Northward transport of momentum\" class=\"bg-primary mb-1\" width=\"800px\">\n",
    "\n",
    "Streamlines of the nondivergent component of the zonal-mean transport of relative angular momentum in the atmosphere. Source: {cite:t}`physicsofclimate`\n",
    ":::"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b39ff61-edf6-4610-b324-0bd65d887fe2",
   "metadata": {},
   "source": [
    "Some things to note here:\n",
    "- We have a near-surface source of angular momentum in the tropics *(frictional torque associated with easterly trade winds)*\n",
    "- There is upward tranpsort of angular momentum by the mean meridional circulation in the tropics / subtropics\n",
    "- Horizontal (poleward) transport of angular momentum in upper tropopsphere associated with eddies\n",
    "- Downward transport in the midlatitudes\n",
    "- A sink in westerly angular momentum in midlatitudes *(frictional torque associated with surface westerlies)*\n",
    "\n",
    "Seasonally, the main source of angular momentum is in the tropics / subtropics of the winter hemisphere where the easterly trades are strongest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fd1835b0-062f-41c2-80fd-1a6d26b7d683",
   "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": "3.10.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}