pace_to_pigments.ipynb

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   "source": [
    "This notebook walks through how to access hyperspectral remote sensing reflectance (Rrs) data from NASA's PACE satellite, use that Rrs data to estimate pigment concentrations (chlorophyll a, chlorophyll b, chlorophyll c, and photoprotective carotenoids (PPC)), and then plot the pigment concentratiosn using a color map with latitude and longitude coordinates. "
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   "source": [
    "You need an Earthdata account to access PACE data. You can create an account here: https://urs.earthdata.nasa.gov\n",
    "See part one (Setup) and two (NASA Earthdata Authentication) on this tutorial: https://oceancolor.gsfc.nasa.gov/resources/docs/tutorials/notebooks/oci_data_access/"
   ]
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   "source": [
    "import earthaccess"
   ]
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   "source": [
    "auth = earthaccess.login(persist=True)"
   ]
  },
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   "source": [
    "Next, import L3_utils. L3_utils contains methods to retrieve level 3 PACE Rrs data, apply the inversion method to estimate pigment concentrations, and then plot the pigments. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "588553b4-6ce5-4a49-9c49-aff7639b4996",
   "metadata": {},
   "outputs": [],
   "source": [
    "import L3_utils"
   ]
  },
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   "id": "2076fdcd-bdb9-4f9f-8436-a3719ba0337a",
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   "source": [
    "First download Rrs, salinity, and temperature data by calling L3_utils.load_data(). The time span is passed in as a tuple of strings with the format 'YYYY-MM-DD'. The resolution is passed in as a string. The only resolutions availble are '1deg', '0p1deg', and '4km'. The data files are in nc format and are saved to folders called 'rrs_data', 'sal_data', and 'temp_data'. The method returns three lists: the first contains file paths to Rrs data, the second contains file paths to salinity data, and the third contains file paths to temperature data."
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    {
     "name": "stdout",
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     "text": [
      "Granules found: 4\n",
      " Getting 4 granules, approx download size: 2.66 GB\n"
     ]
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       "QUEUEING TASKS | :   0%|          | 0/4 [00:00<?, ?it/s]"
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     "text": [
      "File PACE_OCI.20240612.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc already downloaded\n",
      "File PACE_OCI.20240613.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc already downloaded\n",
      "File PACE_OCI.20240614.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc already downloaded\n",
      "File PACE_OCI.20240615.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc already downloaded\n"
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     "text": [
      "Granules found: 11\n",
      " Getting 11 granules, approx download size: 0.11 GB\n"
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     "text": [
      "File SMAP_L3_SSS_20240608_8DAYS_V5.0.nc already downloaded\n",
      "File SMAP_L3_SSS_20240609_8DAYS_V5.0.nc already downloaded\n",
      "File SMAP_L3_SSS_20240611_8DAYS_V5.0.nc already downloaded\n",
      "File SMAP_L3_SSS_20240612_8DAYS_V5.0.nc already downloaded\n",
      "File SMAP_L3_SSS_20240610_8DAYS_V5.0.nc already downloaded\n",
      "File SMAP_L3_SSS_20240613_8DAYS_V5.0.nc already downloaded\n",
      "File SMAP_L3_SSS_20240614_8DAYS_V5.0.nc already downloaded\n",
      "File SMAP_L3_SSS_20240617_8DAYS_V5.0.nc already downloaded\n",
      "File SMAP_L3_SSS_20240615_8DAYS_V5.0.nc already downloaded\n",
      "File SMAP_L3_SSS_20240618_8DAYS_V5.0.nc already downloaded\n",
      "File SMAP_L3_SSS_20240616_8DAYS_V5.0.nc already downloaded\n"
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      "Granules found: 4\n",
      " Getting 4 granules, approx download size: 2.77 GB\n"
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     "text": [
      "File 20240612090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc already downloaded\n",
      "File 20240613090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc already downloaded\n",
      "File 20240614090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc already downloaded\n",
      "File 20240615090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc already downloaded\n"
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   "source": [
    "# download Rrs, salinity, and temp data from 2024-06-12 to 2024-06-15 at 4km resolution\n",
    "rrs_paths, sal_paths, temp_paths = L3_utils.load_data(('2024-06-12','2024-06-15'), '4km')"
   ]
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   "execution_count": 7,
   "id": "d746e7fd-b1d3-46c4-9af3-e0848bafcf6f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['rrs_data/PACE_OCI.20240612.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc',\n",
       " 'rrs_data/PACE_OCI.20240613.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc',\n",
       " 'rrs_data/PACE_OCI.20240614.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc',\n",
       " 'rrs_data/PACE_OCI.20240615.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rrs_paths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7c1a9323-9715-4a0a-95c2-69bc35991a28",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['sal_data/SMAP_L3_SSS_20240608_8DAYS_V5.0.nc',\n",
       " 'sal_data/SMAP_L3_SSS_20240609_8DAYS_V5.0.nc',\n",
       " 'sal_data/SMAP_L3_SSS_20240610_8DAYS_V5.0.nc',\n",
       " 'sal_data/SMAP_L3_SSS_20240611_8DAYS_V5.0.nc',\n",
       " 'sal_data/SMAP_L3_SSS_20240612_8DAYS_V5.0.nc',\n",
       " 'sal_data/SMAP_L3_SSS_20240613_8DAYS_V5.0.nc',\n",
       " 'sal_data/SMAP_L3_SSS_20240614_8DAYS_V5.0.nc',\n",
       " 'sal_data/SMAP_L3_SSS_20240615_8DAYS_V5.0.nc',\n",
       " 'sal_data/SMAP_L3_SSS_20240616_8DAYS_V5.0.nc',\n",
       " 'sal_data/SMAP_L3_SSS_20240617_8DAYS_V5.0.nc',\n",
       " 'sal_data/SMAP_L3_SSS_20240618_8DAYS_V5.0.nc']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# salinity data files are kept as 8 day averages, so some files are dated before/after the date range and are downloaded as well\n",
    "sal_paths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fff5e9d0-12aa-412c-9ee8-c9c8fe9eb927",
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "['temp_data/20240612090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc',\n",
       " 'temp_data/20240613090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc',\n",
       " 'temp_data/20240614090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc',\n",
       " 'temp_data/20240615090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc']"
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     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "After downloading the files you can pass in the files along with a bounding box into the estimate_inv_pigments method to run the inversion algorithm. The bounding box is a tuple of 4 ints/floats of the form (lower_left_lon, lower_left_lat, upper_left_lon, upper_left_lat) that represents the area you want to estimate pigments for. You can either pass in a single file path as a string to estimate pigment concentrations for that specific day, or you can pass in the list of file paths to get a date averaged estimation of pigment concentrations. \n",
    "This method will return an xarray dataset with pigment values for chla, chlb, chlc, and ppc. This calculates the pigment values for each coordinate in the dataset. Calculating the pigments can take a long time; the number of pixels calculated and the total number of pixels is displayed."
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  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0eb5dcc3-358f-489a-9734-21abad2afe47",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'rrs_data/PACE_OCI.20240612.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc'"
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     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "rrs_paths[0]"
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  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a34d861c-cf87-49f3-839e-050c5cb9d45b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'sal_data/SMAP_L3_SSS_20240612_8DAYS_V5.0.nc'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "sal_paths[4]"
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  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "620b7f99-1229-4bf4-9a3b-e5fe8337ab38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'temp_data/20240612090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "temp_paths[0]"
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     "text": [
      "num pixels:  1152\n",
      "Progress: 1152/1152"
     ]
    },
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       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 37kB\n",
       "Dimensions:  (lat: 48, lon: 24)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 192B 48.98 48.94 48.9 48.85 ... 47.1 47.06 47.02\n",
       "  * lon      (lon) float32 96B -125.0 -124.9 -124.9 ... -124.1 -124.1 -124.0\n",
       "Data variables:\n",
       "    chla     (lat, lon) float64 9kB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    chlb     (lat, lon) float64 9kB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    chlc     (lat, lon) float64 9kB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    ppc      (lat, lon) float64 9kB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0</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-f0cc21e1-b923-4093-bc7b-c9fd0b9dc16b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f0cc21e1-b923-4093-bc7b-c9fd0b9dc16b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 48</li><li><span class='xr-has-index'>lon</span>: 24</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-341f0417-f08e-4e21-a86c-22997abbde54' class='xr-section-summary-in' type='checkbox'  checked><label for='section-341f0417-f08e-4e21-a86c-22997abbde54' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span 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'>48.98 48.94 48.9 ... 47.06 47.02</div><input id='attrs-9da11cd3-db8b-4ef4-b91f-dc0b282f308a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9da11cd3-db8b-4ef4-b91f-dc0b282f308a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-788e4937-ac92-4282-8d52-144580ee16dc' class='xr-var-data-in' type='checkbox'><label for='data-788e4937-ac92-4282-8d52-144580ee16dc' title='Show/Hide data 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([48.979164, 48.9375  , 48.895832, 48.854164, 48.8125  , 48.770832,\n",
       "       48.729164, 48.6875  , 48.645832, 48.604164, 48.5625  , 48.520832,\n",
       "       48.479164, 48.4375  , 48.395832, 48.354164, 48.3125  , 48.270832,\n",
       "       48.229164, 48.1875  , 48.145832, 48.104164, 48.0625  , 48.020832,\n",
       "       47.979164, 47.9375  , 47.895832, 47.854164, 47.8125  , 47.770832,\n",
       "       47.729164, 47.6875  , 47.645832, 47.604164, 47.5625  , 47.520832,\n",
       "       47.479164, 47.4375  , 47.395832, 47.354164, 47.3125  , 47.270832,\n",
       "       47.229164, 47.1875  , 47.145832, 47.104164, 47.0625  , 47.020832],\n",
       "      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'>-125.0 -124.9 ... -124.1 -124.0</div><input id='attrs-9711f757-dd71-4946-b0a0-7ca36e55339d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9711f757-dd71-4946-b0a0-7ca36e55339d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79deb987-da2b-4fc0-89e5-b20aa670ac8a' class='xr-var-data-in' type='checkbox'><label for='data-79deb987-da2b-4fc0-89e5-b20aa670ac8a' title='Show/Hide data 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([-124.979164, -124.9375  , -124.89583 , -124.854164, -124.8125  ,\n",
       "       -124.77083 , -124.729164, -124.6875  , -124.64583 , -124.604164,\n",
       "       -124.5625  , -124.52083 , -124.479164, -124.4375  , -124.39583 ,\n",
       "       -124.354164, -124.3125  , -124.27083 , -124.229164, -124.1875  ,\n",
       "       -124.14583 , -124.104164, -124.0625  , -124.02083 ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-19781609-1f0e-4640-8632-8fa7f3a404dc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-19781609-1f0e-4640-8632-8fa7f3a404dc' class='xr-section-summary' >Data variables: <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>chla</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-219194e3-3eab-4bd7-9e69-1a0182ffcde7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-219194e3-3eab-4bd7-9e69-1a0182ffcde7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a433505-7771-4efb-a45e-1713718b47f3' class='xr-var-data-in' type='checkbox'><label for='data-4a433505-7771-4efb-a45e-1713718b47f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chlb</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-f4dbc922-d150-4ca9-9404-1f4f8e8421e2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f4dbc922-d150-4ca9-9404-1f4f8e8421e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b49a7ca6-6e77-4711-b36e-8215031c18ed' class='xr-var-data-in' type='checkbox'><label for='data-b49a7ca6-6e77-4711-b36e-8215031c18ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chlc</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-6cfc68d2-f030-4543-a8f8-822d09b8c594' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6cfc68d2-f030-4543-a8f8-822d09b8c594' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bec2a5c-8900-41cc-8860-d4b5bb38d50c' class='xr-var-data-in' type='checkbox'><label for='data-7bec2a5c-8900-41cc-8860-d4b5bb38d50c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ppc</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-071b93ab-3603-461f-b7a2-79b8a9284f7f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-071b93ab-3603-461f-b7a2-79b8a9284f7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7f254a2-08a4-4a6f-a9db-71aabc3c255e' class='xr-var-data-in' type='checkbox'><label for='data-b7f254a2-08a4-4a6f-a9db-71aabc3c255e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4e463ba7-aa40-4fa7-886c-f263c0d78265' class='xr-section-summary-in' type='checkbox'  ><label for='section-4e463ba7-aa40-4fa7-886c-f263c0d78265' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ae2bd19b-3bff-4c88-86c1-80636914c465' class='xr-index-data-in' type='checkbox'/><label for='index-ae2bd19b-3bff-4c88-86c1-80636914c465' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([48.979164123535156,            48.9375,  48.89583206176758,\n",
       "       48.854164123535156,            48.8125,  48.77083206176758,\n",
       "       48.729164123535156,            48.6875,  48.64583206176758,\n",
       "       48.604164123535156,            48.5625,  48.52083206176758,\n",
       "       48.479164123535156,            48.4375,  48.39583206176758,\n",
       "       48.354164123535156,            48.3125,  48.27083206176758,\n",
       "       48.229164123535156,            48.1875,  48.14583206176758,\n",
       "       48.104164123535156,            48.0625,  48.02083206176758,\n",
       "       47.979164123535156,            47.9375,  47.89583206176758,\n",
       "       47.854164123535156,            47.8125,  47.77083206176758,\n",
       "       47.729164123535156,            47.6875,  47.64583206176758,\n",
       "       47.604164123535156,            47.5625,  47.52083206176758,\n",
       "       47.479164123535156,            47.4375,  47.39583206176758,\n",
       "       47.354164123535156,            47.3125,  47.27083206176758,\n",
       "       47.229164123535156,            47.1875,  47.14583206176758,\n",
       "       47.104164123535156,            47.0625,  47.02083206176758],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cea37c17-9847-4a82-ace2-70c09ab4c485' class='xr-index-data-in' type='checkbox'/><label for='index-cea37c17-9847-4a82-ace2-70c09ab4c485' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-124.97916412353516,           -124.9375, -124.89582824707031,\n",
       "       -124.85416412353516,           -124.8125, -124.77082824707031,\n",
       "       -124.72916412353516,           -124.6875, -124.64582824707031,\n",
       "       -124.60416412353516,           -124.5625, -124.52082824707031,\n",
       "       -124.47916412353516,           -124.4375, -124.39582824707031,\n",
       "       -124.35416412353516,           -124.3125, -124.27082824707031,\n",
       "       -124.22916412353516,           -124.1875, -124.14582824707031,\n",
       "       -124.10416412353516,           -124.0625, -124.02082824707031],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-06fd1521-bce2-42e8-a4a5-ffe6b288d300' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-06fd1521-bce2-42e8-a4a5-ffe6b288d300' 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.Dataset> Size: 37kB\n",
       "Dimensions:  (lat: 48, lon: 24)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 192B 48.98 48.94 48.9 48.85 ... 47.1 47.06 47.02\n",
       "  * lon      (lon) float32 96B -125.0 -124.9 -124.9 ... -124.1 -124.1 -124.0\n",
       "Data variables:\n",
       "    chla     (lat, lon) float64 9kB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    chlb     (lat, lon) float64 9kB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    chlc     (lat, lon) float64 9kB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    ppc      (lat, lon) float64 9kB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This calculates pigments using Rrs, salinity, and temperature on 2024-06-12 from 49N to 47N, and -125W to -124W, an area\n",
    "# off the coast of Washington. \n",
    "bbox = (-125, 47, -124, 49)\n",
    "pigments = L3_utils.estimate_inv_pigments(rrs_paths[0], sal_paths[4], temp_paths[0], bbox)\n",
    "pigments"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df9a45da-c4bc-43a3-a000-a14bad94d999",
   "metadata": {},
   "source": [
    "After the pigments have downloaded, it is a good idea to save the pigment dataset to an nc file so you don't have to compute the pigment values again. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8834c33c-ac11-4ea1-985c-4331da7f30d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray\n",
    "pigments.to_netcdf('pigments/wash_coast')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "430df3e3-5587-4eaf-931f-242b4f11d19a",
   "metadata": {},
   "source": [
    "You can open the data file again when you need it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2ce5c7e5-3d38-4c11-b2be-b03bdb11b276",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 37kB\n",
       "Dimensions:  (lat: 48, lon: 24)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 192B 48.98 48.94 48.9 48.85 ... 47.1 47.06 47.02\n",
       "  * lon      (lon) float32 96B -125.0 -124.9 -124.9 ... -124.1 -124.1 -124.0\n",
       "Data variables:\n",
       "    chla     (lat, lon) float64 9kB ...\n",
       "    chlb     (lat, lon) float64 9kB ...\n",
       "    chlc     (lat, lon) float64 9kB ...\n",
       "    ppc      (lat, lon) float64 9kB ...</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-34e18f6b-0b64-4066-add6-3c0b6261b215' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-34e18f6b-0b64-4066-add6-3c0b6261b215' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 48</li><li><span class='xr-has-index'>lon</span>: 24</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-642740b8-48a0-4fae-a6f1-5ddb3aeda54f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-642740b8-48a0-4fae-a6f1-5ddb3aeda54f' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span 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'>48.98 48.94 48.9 ... 47.06 47.02</div><input id='attrs-1d2e866c-fc88-4b0e-b94d-35842117fef9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1d2e866c-fc88-4b0e-b94d-35842117fef9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2525dd55-5a4a-4ccf-9731-190b478defa3' class='xr-var-data-in' type='checkbox'><label for='data-2525dd55-5a4a-4ccf-9731-190b478defa3' title='Show/Hide data 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([48.979164, 48.9375  , 48.895832, 48.854164, 48.8125  , 48.770832,\n",
       "       48.729164, 48.6875  , 48.645832, 48.604164, 48.5625  , 48.520832,\n",
       "       48.479164, 48.4375  , 48.395832, 48.354164, 48.3125  , 48.270832,\n",
       "       48.229164, 48.1875  , 48.145832, 48.104164, 48.0625  , 48.020832,\n",
       "       47.979164, 47.9375  , 47.895832, 47.854164, 47.8125  , 47.770832,\n",
       "       47.729164, 47.6875  , 47.645832, 47.604164, 47.5625  , 47.520832,\n",
       "       47.479164, 47.4375  , 47.395832, 47.354164, 47.3125  , 47.270832,\n",
       "       47.229164, 47.1875  , 47.145832, 47.104164, 47.0625  , 47.020832],\n",
       "      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'>-125.0 -124.9 ... -124.1 -124.0</div><input id='attrs-4ef82f0a-f622-45e5-8791-e72b43724c80' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4ef82f0a-f622-45e5-8791-e72b43724c80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c9450d8-3843-4a05-8228-547ee1af35b3' class='xr-var-data-in' type='checkbox'><label for='data-4c9450d8-3843-4a05-8228-547ee1af35b3' title='Show/Hide data 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([-124.979164, -124.9375  , -124.89583 , -124.854164, -124.8125  ,\n",
       "       -124.77083 , -124.729164, -124.6875  , -124.64583 , -124.604164,\n",
       "       -124.5625  , -124.52083 , -124.479164, -124.4375  , -124.39583 ,\n",
       "       -124.354164, -124.3125  , -124.27083 , -124.229164, -124.1875  ,\n",
       "       -124.14583 , -124.104164, -124.0625  , -124.02083 ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cc78bd96-5ffa-4ab4-aebd-97127ccffb80' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cc78bd96-5ffa-4ab4-aebd-97127ccffb80' class='xr-section-summary' >Data variables: <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>chla</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6e555f12-cccc-4935-8aa7-dfe871a97960' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6e555f12-cccc-4935-8aa7-dfe871a97960' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abd718c3-2523-4baa-84fb-1362f5b2cd05' class='xr-var-data-in' type='checkbox'><label for='data-abd718c3-2523-4baa-84fb-1362f5b2cd05' title='Show/Hide data 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>[1152 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chlb</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-db2a58ab-22f9-46d1-afc3-55850092c452' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-db2a58ab-22f9-46d1-afc3-55850092c452' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d52642e8-2dc1-4927-9cb1-e073fb0f6874' class='xr-var-data-in' type='checkbox'><label for='data-d52642e8-2dc1-4927-9cb1-e073fb0f6874' title='Show/Hide data 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>[1152 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chlc</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-93fd8159-833f-429d-8dc9-93f5bd901d83' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-93fd8159-833f-429d-8dc9-93f5bd901d83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-405d73ab-b62a-4d9d-b98f-71ee41974cee' class='xr-var-data-in' type='checkbox'><label for='data-405d73ab-b62a-4d9d-b98f-71ee41974cee' title='Show/Hide data 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>[1152 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ppc</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c9bb8aeb-fb4b-4bca-985f-7dcb16941668' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c9bb8aeb-fb4b-4bca-985f-7dcb16941668' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9fbb971-f30a-47d6-b818-f8702a546ae5' class='xr-var-data-in' type='checkbox'><label for='data-c9fbb971-f30a-47d6-b818-f8702a546ae5' title='Show/Hide data 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>[1152 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7aa98eb4-dfc7-479a-a06f-e21d897891ab' class='xr-section-summary-in' type='checkbox'  ><label for='section-7aa98eb4-dfc7-479a-a06f-e21d897891ab' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8265b4c3-a2bd-44b6-8061-f79f63933d7d' class='xr-index-data-in' type='checkbox'/><label for='index-8265b4c3-a2bd-44b6-8061-f79f63933d7d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([48.979164123535156,            48.9375,  48.89583206176758,\n",
       "       48.854164123535156,            48.8125,  48.77083206176758,\n",
       "       48.729164123535156,            48.6875,  48.64583206176758,\n",
       "       48.604164123535156,            48.5625,  48.52083206176758,\n",
       "       48.479164123535156,            48.4375,  48.39583206176758,\n",
       "       48.354164123535156,            48.3125,  48.27083206176758,\n",
       "       48.229164123535156,            48.1875,  48.14583206176758,\n",
       "       48.104164123535156,            48.0625,  48.02083206176758,\n",
       "       47.979164123535156,            47.9375,  47.89583206176758,\n",
       "       47.854164123535156,            47.8125,  47.77083206176758,\n",
       "       47.729164123535156,            47.6875,  47.64583206176758,\n",
       "       47.604164123535156,            47.5625,  47.52083206176758,\n",
       "       47.479164123535156,            47.4375,  47.39583206176758,\n",
       "       47.354164123535156,            47.3125,  47.27083206176758,\n",
       "       47.229164123535156,            47.1875,  47.14583206176758,\n",
       "       47.104164123535156,            47.0625,  47.02083206176758],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5505fbe8-547e-4794-a987-adc3516c67ff' class='xr-index-data-in' type='checkbox'/><label for='index-5505fbe8-547e-4794-a987-adc3516c67ff' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-124.97916412353516,           -124.9375, -124.89582824707031,\n",
       "       -124.85416412353516,           -124.8125, -124.77082824707031,\n",
       "       -124.72916412353516,           -124.6875, -124.64582824707031,\n",
       "       -124.60416412353516,           -124.5625, -124.52082824707031,\n",
       "       -124.47916412353516,           -124.4375, -124.39582824707031,\n",
       "       -124.35416412353516,           -124.3125, -124.27082824707031,\n",
       "       -124.22916412353516,           -124.1875, -124.14582824707031,\n",
       "       -124.10416412353516,           -124.0625, -124.02082824707031],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9073cc50-fe9c-469e-81d1-ed7ca7314cfb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9073cc50-fe9c-469e-81d1-ed7ca7314cfb' 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.Dataset> Size: 37kB\n",
       "Dimensions:  (lat: 48, lon: 24)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 192B 48.98 48.94 48.9 48.85 ... 47.1 47.06 47.02\n",
       "  * lon      (lon) float32 96B -125.0 -124.9 -124.9 ... -124.1 -124.1 -124.0\n",
       "Data variables:\n",
       "    chla     (lat, lon) float64 9kB ...\n",
       "    chlb     (lat, lon) float64 9kB ...\n",
       "    chlc     (lat, lon) float64 9kB ...\n",
       "    ppc      (lat, lon) float64 9kB ..."
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pigments = xarray.open_dataset('pigments/wash_coast')\n",
    "pigments"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb84ec6a-f032-479b-acfd-335a2d7588b7",
   "metadata": {},
   "source": [
    "Now use plot_pigments method to plot a map of pigment values. Pigment values are in units of mg/m^3. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "56171d61-d477-494c-8253-3882cc01ab03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# This plots the concentration of chlorophyll a on a color map. The color bar is set to show values from 0 to 10 with a label\n",
    "# 'chla (mg/m^3)'\n",
    "chla = pigments['chla']\n",
    "L3_utils.plot_pigments(pigments['chla'], 0, 10, 'chla (mg/m^3)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "93d1bb25-60f6-4606-afff-b7778af213e2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "num pixels:  1152\n",
      "Progress: 1152/1152"
     ]
    },
    {
     "data": {
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       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 37kB\n",
       "Dimensions:  (lat: 48, lon: 24)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 192B 48.98 48.94 48.9 48.85 ... 47.1 47.06 47.02\n",
       "  * lon      (lon) float32 96B -125.0 -124.9 -124.9 ... -124.1 -124.1 -124.0\n",
       "Data variables:\n",
       "    chla     (lat, lon) float64 9kB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    chlb     (lat, lon) float64 9kB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    chlc     (lat, lon) float64 9kB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    ppc      (lat, lon) float64 9kB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0</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-93051a16-cae7-4f02-ad24-116bac832253' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-93051a16-cae7-4f02-ad24-116bac832253' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 48</li><li><span class='xr-has-index'>lon</span>: 24</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d149ea0d-4dcf-49ae-8fea-7b7f25d3abaf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d149ea0d-4dcf-49ae-8fea-7b7f25d3abaf' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span 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'>48.98 48.94 48.9 ... 47.06 47.02</div><input id='attrs-66e056df-06db-4a97-a44a-23b44e069199' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-66e056df-06db-4a97-a44a-23b44e069199' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-558657df-6047-47ae-845f-e2232dec9e70' class='xr-var-data-in' type='checkbox'><label for='data-558657df-6047-47ae-845f-e2232dec9e70' title='Show/Hide data 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([48.979164, 48.9375  , 48.895832, 48.854164, 48.8125  , 48.770832,\n",
       "       48.729164, 48.6875  , 48.645832, 48.604164, 48.5625  , 48.520832,\n",
       "       48.479164, 48.4375  , 48.395832, 48.354164, 48.3125  , 48.270832,\n",
       "       48.229164, 48.1875  , 48.145832, 48.104164, 48.0625  , 48.020832,\n",
       "       47.979164, 47.9375  , 47.895832, 47.854164, 47.8125  , 47.770832,\n",
       "       47.729164, 47.6875  , 47.645832, 47.604164, 47.5625  , 47.520832,\n",
       "       47.479164, 47.4375  , 47.395832, 47.354164, 47.3125  , 47.270832,\n",
       "       47.229164, 47.1875  , 47.145832, 47.104164, 47.0625  , 47.020832],\n",
       "      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'>-125.0 -124.9 ... -124.1 -124.0</div><input id='attrs-a7db14b7-eaef-472a-bd0d-27187814fa44' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a7db14b7-eaef-472a-bd0d-27187814fa44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-781b0de1-1fcc-419f-a96f-d63262ff7e02' class='xr-var-data-in' type='checkbox'><label for='data-781b0de1-1fcc-419f-a96f-d63262ff7e02' title='Show/Hide data 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([-124.979164, -124.9375  , -124.89583 , -124.854164, -124.8125  ,\n",
       "       -124.77083 , -124.729164, -124.6875  , -124.64583 , -124.604164,\n",
       "       -124.5625  , -124.52083 , -124.479164, -124.4375  , -124.39583 ,\n",
       "       -124.354164, -124.3125  , -124.27083 , -124.229164, -124.1875  ,\n",
       "       -124.14583 , -124.104164, -124.0625  , -124.02083 ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c7082b9e-720e-4a93-9d5d-b1acc24b055b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c7082b9e-720e-4a93-9d5d-b1acc24b055b' class='xr-section-summary' >Data variables: <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>chla</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-b6d72930-627d-4206-ac29-1c34cc66d805' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b6d72930-627d-4206-ac29-1c34cc66d805' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4901f55c-6a49-4f36-a3e7-8966ba7b129e' class='xr-var-data-in' type='checkbox'><label for='data-4901f55c-6a49-4f36-a3e7-8966ba7b129e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chlb</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-3bc98106-3bfd-4022-833e-5b027f4f9e90' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3bc98106-3bfd-4022-833e-5b027f4f9e90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d915cd8-4a61-46fc-bb26-efa9b6880f4c' class='xr-var-data-in' type='checkbox'><label for='data-6d915cd8-4a61-46fc-bb26-efa9b6880f4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chlc</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-90c7be8c-c36e-4d0d-b09c-35822eed39b8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90c7be8c-c36e-4d0d-b09c-35822eed39b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed3b3c23-4816-4ac0-9f69-6ab7990aabe0' class='xr-var-data-in' type='checkbox'><label for='data-ed3b3c23-4816-4ac0-9f69-6ab7990aabe0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ppc</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-f354dd36-eb0b-4632-91e1-78bda0f6e225' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f354dd36-eb0b-4632-91e1-78bda0f6e225' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba7e797b-dac4-4541-a0d3-7b9a1520f481' class='xr-var-data-in' type='checkbox'><label for='data-ba7e797b-dac4-4541-a0d3-7b9a1520f481' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b6161374-bd49-4683-8c38-e6fce8b0d9cb' class='xr-section-summary-in' type='checkbox'  ><label for='section-b6161374-bd49-4683-8c38-e6fce8b0d9cb' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0f5271e4-622f-4282-bf44-440e663361cd' class='xr-index-data-in' type='checkbox'/><label for='index-0f5271e4-622f-4282-bf44-440e663361cd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([48.979164123535156,            48.9375,  48.89583206176758,\n",
       "       48.854164123535156,            48.8125,  48.77083206176758,\n",
       "       48.729164123535156,            48.6875,  48.64583206176758,\n",
       "       48.604164123535156,            48.5625,  48.52083206176758,\n",
       "       48.479164123535156,            48.4375,  48.39583206176758,\n",
       "       48.354164123535156,            48.3125,  48.27083206176758,\n",
       "       48.229164123535156,            48.1875,  48.14583206176758,\n",
       "       48.104164123535156,            48.0625,  48.02083206176758,\n",
       "       47.979164123535156,            47.9375,  47.89583206176758,\n",
       "       47.854164123535156,            47.8125,  47.77083206176758,\n",
       "       47.729164123535156,            47.6875,  47.64583206176758,\n",
       "       47.604164123535156,            47.5625,  47.52083206176758,\n",
       "       47.479164123535156,            47.4375,  47.39583206176758,\n",
       "       47.354164123535156,            47.3125,  47.27083206176758,\n",
       "       47.229164123535156,            47.1875,  47.14583206176758,\n",
       "       47.104164123535156,            47.0625,  47.02083206176758],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7c5f642c-a6ba-4e57-8dd7-fb7d36c1e686' class='xr-index-data-in' type='checkbox'/><label for='index-7c5f642c-a6ba-4e57-8dd7-fb7d36c1e686' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-124.97916412353516,           -124.9375, -124.89582824707031,\n",
       "       -124.85416412353516,           -124.8125, -124.77082824707031,\n",
       "       -124.72916412353516,           -124.6875, -124.64582824707031,\n",
       "       -124.60416412353516,           -124.5625, -124.52082824707031,\n",
       "       -124.47916412353516,           -124.4375, -124.39582824707031,\n",
       "       -124.35416412353516,           -124.3125, -124.27082824707031,\n",
       "       -124.22916412353516,           -124.1875, -124.14582824707031,\n",
       "       -124.10416412353516,           -124.0625, -124.02082824707031],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d055e290-4920-46cf-b1fa-a9770e0bb33c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d055e290-4920-46cf-b1fa-a9770e0bb33c' 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.Dataset> Size: 37kB\n",
       "Dimensions:  (lat: 48, lon: 24)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 192B 48.98 48.94 48.9 48.85 ... 47.1 47.06 47.02\n",
       "  * lon      (lon) float32 96B -125.0 -124.9 -124.9 ... -124.1 -124.1 -124.0\n",
       "Data variables:\n",
       "    chla     (lat, lon) float64 9kB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    chlb     (lat, lon) float64 9kB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    chlc     (lat, lon) float64 9kB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    ppc      (lat, lon) float64 9kB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Use average Rrs, salinity, and temperature values from 2024-06-12 to 2024-06-15 to estimate pigments for the same area as above.\n",
    "bbox = (-125, 47, -124, 49)\n",
    "avg_pigments = L3_utils.estimate_inv_pigments(rrs_paths, sal_paths, temp_paths, bbox)\n",
    "avg_pigments.to_netcdf('pigments/wash_coast_avg')\n",
    "avg_pigments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8cb6bdf7-301c-4cb1-a26e-2118b8816605",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Notice the difference in this plot of a 4 day average compared to the plot of a single day. \n",
    "chla = avg_pigments['chla']\n",
    "L3_utils.plot_pigments(avg_chla, 0, 10, 'chla (mg/m^3)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c16068cb-698c-4e67-b3ef-4ab90b846551",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "388ab8c3-8f93-40b2-a0a5-32b926ecac1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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KTeklhPAqG5OQNjUHBQlFoicJMdjY2GDz5s0ICQlBnTp14Onpib59+6J79+7Q0dFRdvMIqTFoTEJx6ElCDOHh4cjMzER8fDxGjx6NxMREDBw4EEZGRujZsyc2bdqE58+fK7uZhFRZpZBuPKJsTIIt9phEfHw8+vbtC1NTU7BYLBw7dqzCa+Li4uDo6AgNDQ00atQIW7du5Tkuq3VwqjoKEmJSUVFBhw4dsHLlSty/fx9PnjzBypUrUVJSghkzZsDS0hJ2dnaYO3curl69ipKSEmU3mZAqo/S/9ySk2SQZk/j06RPs7e2xadOmSp2fmpqK3r17o0OHDrh9+zbmzZuHadOm4ciRI9xzZLUOTlVH3U1SsrKyQkBAAAICApCbm4uYmBicPHkSO3bswPLly2FsbIzevXujT58+8PDwkFnuJ0KqI4ZhoUTqBH/iX9+rVy+eJKEV2bp1Kxo2bIiwsDAAZV3NSUlJWL16NQYNGgSgrMvra1FRUSLXwamu6ElChvT09DB48GBEREQgIyMDV69eha+vL27fvo2hQ4fC2NgY/fr1A1D2lwohRDIGBgZITExEYmIifHx8kJubi4KCApmVn5CQAA8PD559PXr0QFJSktCMuZKug1PVUZCQEw6HA1dXVyxbtgz//PMPUlNTERYWBhWVsoc3BwcH2NjYYNasWYiPj0dxcbGSW0yI/MlidlMpWHj37h309fV5tm9zwUkjIyODL6db3bp1UVxcjHfv3vGdX74Ozvjx43n2l6+Dc/bsWYSHhyMjIwNubm4KS6goCxQkFMTCwgJTpkzBH3/8AQDYt28f3NzcsHfvXnTq1Al16tSBt7c3Dhw4gPfv3yu5tYTIR9k61WzpNrDB4XDQrFkzNGvWDKtXr0ZOTg7mzp0r07ayWLzdWuUpfL7dD4heB2fQoEGws7NDt27dcOrUKQBARESETNsqTzQmoSR9+vTBgAEDUFpaiqSkJPz55584efIk9u/fDw6Hg/bt26Nv377o06cPmjVrpuzmElKlyHsKrImJCTIyMnj2ZWZmQkVFhS9LtaLWwVEWepJQMjabjbZt2yI4OBi3b9/GixcvsGnTJujo6GDBggWwtrZG06ZNMWPGDFy4cEFhK4gRIg+y6m6Sd1oOV1dXvgWfYmJi4OTkxJdWXZJ1cOrVqyfT9soTBYkqxszMDJMmTcKff/6JrKwsnDhxAl26dMHBgwfh7u6OBg0aYNWqVfj48aOym0qI2EpRNrtJmk2S2U15eXlITk5GcnIygLKJI8nJyUhLSwMAzJ07F6NGjeKeP2nSJPz777+YMWMGHjx4gF27dmHnzp2YOXMmX9kVrYMTFxeH1NRUXLt2DYMHD5ZqHRxloCBRhWlpaaFv377Ytm0bXr58iaSkJPTt2xfz58+HhYUFVq1aRelBSLXCyOA9CUlyPyUlJaFVq1Zo1aoVAGDGjBlo1aoVFi1aBABIT0/nBgwAsLS0RHR0NC5dugQHBwcsWbIEGzZs4E5/LVe+Ds64ceME1lu+Dk6zZs0wcOBAqKmpSb0OjqLRmEQ1wWKx4OjoiPDwcCxatAgrVqzA7NmzERcXh8jISNSqVUvZTSREYcQdk+jcubPItWP27NnDt69Tp064deuWyHLlvQ5OVUBPEtVQgwYNsGnTJpw6dQp//fUXnJycqt1bnKRmKpUyJYekaTmI5ChIVGO9evVCUlIStLW14eLi8l381UK+bwzKU3NIvlGqcMWi7qZqzsrKClevXsWECRPg5eWFpKQkLF++nPvSHiHfI8oCqzj0JPEd0NbWRmRkJNatW4ewsDDY2toiMjKS3uImVY5MupsUMAWW/B8Fie8Ei8XC9OnTce3aNTRp0gQ+Pj5wcnICAHq3glQZtOhQ9UNB4jvj6OiIkydP4ubNm7C1tQUAtG7dGtu2bZNpAjRCJMGA9V9qDsk3RsosskQ8FCS+U61bt0ZkZCQAwMnJCZMnT0bjxo2xbNkyWhiJVHuGhoa4f/8+7t+/jylTpii7Od81ChI1wO7du3Hv3j24u7tj6dKlsLS0RLt27bB582ZkZmYqu3mkBpFNWg6aAqtIFCRqCBsbG+zZswdv3rzBvn37YGBggOnTp8PU1BS9evVCZGQkpfogcieTLLDU3aRQFCRqGB0dHYwYMQJ//vkn0tPTsWnTJnz69Ak+Pj6oW7cuhg8fjhMnTqCwsFDZTSXfIQYslEi5SZKWg0iOJtPXYMbGxpg0aRImTZqEtLQ0REVFYf/+/fjhhx9gYGCAwYMHw9PTEy1btoS5uTnYbPqbglQN9J6E4lCQIACAhg0bYtasWZg1axbu3buHAwcOYP/+/QgPDwdQ9i5GixYtYGtry7OZmJgIXIRFEfLz8wEAwcHByMzMhIGBARo2bIiGDRvC3NwcDRs2hL6+vlLaRgQr726SBsP8/z0JAJgyZQoNXssRBQnCp0WLFggJCcGSJUvw6tUr3L17l7v9/fffOHDgAD5//gwAMDIy4gYMOzs7mJiY4MOHD6hdu7bc2peXl4eVK1di586d2LJlCw4dOgQdHR1kZ2fj5cuXPC8R6unpwcPDA/7+/ujYsaPSAhopU/pfl5G0ZRDFoSBBhGKxWDAzM4OZmRl69uzJ3V9SUoLU1FRu4Lhz5w4uXryIiIgIREZGwtzcHIaGhnxPHc2bN4eWlpZUbTp37hzGjx+PzMxMTJ48GQBw9+5d7kIwJSUlyMjIQFpaGtLS0nDt2jWsW7cOhw8fRkREBM+aAaT6ou4mxaEgQcTG4XDQuHFjNG7cGP379+fu//TpE86dO4edO3dyA8jRo0exZs0aAGVBx8rKii94NG3alG+1r28xDIOVK1dizpw56NKlCy5cuIAGDRogOjqar23169eHnp4ejh8/ju3bt0NLSwuTJ0/GDz/8IPPPgoin7GU66bqbvk7LAVB3k7xRkCAyo6amBgAYPHgwvLy8uPvz8vLw4MED7lPH3bt3sXPnTqSnpwMAVFVV0axZM9ja2qJ169bo1KkTWrduzU1SWFxcDH9/f2zbtg3z589HcHAw2Gy20HQjJ0+ehJ+fH7KzsxEQEIDAwEC5dn+RyitlWCiRNkhIeT0RDwUJInc6Ojpo06YN2rRpw7M/KysL9+7d4+m2OnHiBPLz86Gjo4N27dqhY8eOuHz5MmJjY7Fjxw6hK4ABZauLBQQE4Pfff0fPnj3x66+/wsLCQs53R8TByGAKK6UKVywKEkRpjIyM0LFjR3Ts2JG7r6ioCDdv3kRcXBzi4uKwfPlysFgsREdHw8PDQ2hZqampcHR0hKqqKg4cOIBhw4bRIPV3jMYkFIeCBKlSVFVV4eLiAhcXF8yePRslJSUoLi6Gurq60GsYhsHkyZOho6OD27dvC1yQnlQNsuluojEJRZJ7515oaCg3jXW5vLw8+Pv7w8zMDJqamrCxscGvv/4qspw9e/aAxWLxbV++fOEpd/jw4ahXrx6GDx+OT58+cY+NGTMGLBYLy5cv5yn32LFj9BdnFcbhcEQGCKDs3/Ds2bP48ccfoaOjo6CWEUnIIgssTYFVLLkGiRs3bmD79u1o2bIlz/7AwECcOXMGkZGRePDgAQIDAzF16lQcP35cZHl6enpIT0/n2TQ0NLjHw8LCoKOjg5iYGGhpaSEsLIzneg0NDaxYsQLv37+X2T0S5SssLISenh5++eUX1KpVC127dsWCBQuwefNmHDhwAGfPnsWNGzeQnZ2t7KbWeLJJ8EdBQpHk1t2Ul5cHb29vhIeHIyQkhOdYQkICRo8ejc6dOwMAJkyYgG3btiEpKUnkNEUWiwUTExOhxz98+ICmTZvCzs4O1tbWePfuHc/xbt264cmTJwgNDcXKlSslvzlSpQwbNgxeXl5ITk5GfHw84uLisHv3brx7944nBxWHw0GXLl0wePBg9O/fH3Xr1lViq4k0aExCceT2JDFlyhR4enqiW7dufMfat2+PEydO4NWrV2AYBhcvXsSjR4/Qo0cPkWXm5eXB3NwcZmZm6NOnD27fvs1zvHyapKqqKnbv3o2AgACe4xwOB8uWLcPGjRvx8uVL6W+SVBkcDgeOjo4IDAzEsWPH8OrVK3z58gV5eXlIS0vD7du3sWXLFrBYLEyZMgWmpqbo3LkzNm3ahNevXyu7+TWG1F1N/y06RKnCFUcuQSIqKgq3bt1CaGiowOMbNmxA8+bNYWZmBjU1NfTs2RNbtmxB+/bthZZpbW2NPXv24MSJEzhw4AA0NDTQrl07PH78mHuOhYUFHj9+jBcvXuD+/fuoX78+XzkDBgyAg4MDFi9eLP2NkiqNxWJBW1sbDRo0gIODAyZMmICYmBi8efMG4eHh0NLSwowZM2BmZob27dsjLCwML168UHazv2tlU2DZUm7U3aRIMu9uevHiBQICAhATE8MzXvC1DRs2IDExESdOnIC5uTni4+Ph5+eHevXqCXzyAMCd8VKuXbt2aN26NTZu3IgNGzZw97PZbJFdUgCwYsUKdO3aFT/99JNY91ZUVCT1etHl1yti3WlF1lWd6tPT04OPjw98fHzw4cMHnD59GsePH0dQUBDmzZsHJycn9O/fH/369YO5ubnU9UlCWZ9ldUHdTYrDYhiGkWWBx44dw4ABA8DhcLj7SkpKwGKxwGazkZOTAwMDAxw9ehSenp7cc8aPH4+XL1/izJkzla7L19cXL1++xOnTpys8d8yYMfjw4QOOHTsGAPD09ISqqirGjBmDAQMGQNTHkJubC319fezfv1/q3EOEVEX5+fkYMWIEcnJyoKenJ5c6OnbsCO1eRbDuZV7xySI8/ysdiSGPYGBgAKDyU2C3bNmCVatWIT09HS1atEBYWBg6dOgg8NwxY8YgIiKCb3/z5s25wenevXtYtGgRbt68iX///Rfr1q3jmcUJlGULCAoKwr59+5CRkYF69ephzJgxWLBgQbVJvS/zJwl3d3fcuXOHZ9/YsWNhbW3NnfdeVFTE9wFxOByUlpZWuh6GYZCcnAw7OzuJ2rl8+XI4ODigadOmlb7Gw8ND6h+goqIixMbGonv37tx8RbYHwkRfVNHHUiL4m02dxcISIyueuuRJ0L1V1/o+ffqE2NhY7vTa/Px8ODo6YubMmbC0tISNjY1M6/uWoj/LrKwsudcBAAwDqVeWk+T6gwcPYvr06diyZQvatWuHbdu2oVevXrh//z4aNmzId/769et5pssXFxfD3t4eQ4YM4e7Lz89Ho0aNMGTIEAQGBgqsd8WKFdi6dSsiIiLQokULJCUlYezYsdDX1+cbM62qZB4kdHV1YWtry7NPW1ubm1IaADp16oSff/4ZmpqaMDc3R1xcHPbu3Yu1a9dyrxk1ahTq16/PHdf45Zdf4OLigiZNmiA3NxcbNmxAcnKyxINWdnZ28Pb2xsaNGyt9jaqqqsx+YL8uq6DCKCCa8IcgNl9divA91FerVi0MGTIEQ4YMQX5+Ps6ePct9CnVxcYGlpSUGDx6MwYMHw9bWVm7v2ijqs1TUv1f5EqTSkCQtx9q1azFu3DiMHz8eQNl0+bNnz+LXX38VOHaqr6/PsxbJsWPH8P79e4wdO5a77+tUM3PmzBFYb0JCAn744Qdur4mFhQUOHDiApKQkse9BWZTyvBMVFYU2bdrA29sbzZs3x/Lly7F06VJMmjSJe05aWho3ARxQNr11woQJsLGxgYeHB169eoX4+Hi0bdtW4nYsWbJEZDcTIQCgpaWFAQMGYMeOHQDKvn+dnJywfv16tGzZEtbW1pg/fz5u375N308KYmBggMTERCQmJsLHxwe5ubkoKCgQeG5hYSFu3rzJl9bFw8MDV69erVR9O3fuRLdu3XjGqCqjffv2OH/+PB49egQA+Pvvv3HlyhX07t1brHKUSSFpOS5dusTztYmJCXbv3i3WNevWrcO6deskbsOePXv49pmbm/O8sU1IZfTq1Qv9+vVDYWEhzp8/j8OHD2Pr1q1YtmwZGjVqxH3CcHJyorf5v1EKyGTRoXfv3vGtOrh48WIEBQXxnf/u3TuUlJTwvRdTt25dZGRkVFhfeno6Tp8+jf3794vd1tmzZyMnJwfW1tbgcDgoKSnB0qVLebIkV3XVY+SEkCpITU0NvXr1ws6dO5GRkYGYmBh069YNu3fvRtu2bWFhYYGffvoJCQkJYo23fc9kkpaDYYHD4aBZs2Zo1qwZVq9ejZycHMydO1dk3d8GbIZhKhXE9+zZg1q1avGsnVJZBw8eRGRkJPbv349bt24hIiICq1evFjgoXlVRkCBEBlRVVdG9e3ds27YNr1+/xsWLF9GnTx/s378fbm5uaNiwIQICAhAfH4+SkhJlN1dpmP/WuJZmY/4buGaz2WCz2dDQ0ICenp7QHF/GxsbgcDh8Tw2ZmZkVvnXPMAx27doFHx8f7nop4vj5558xZ84cDB8+HHZ2dvDx8UFgYKDQd8iqIgoShMiYiooKOnfujM2bN+Ply5eIj4/H4MGDceTIEXTq1An169eHn58fLly4wLMeN6k8Q0ND3L9/H/fv369w+quamhocHR0RGxvLsz82NhZubm4ir42Li8OTJ09ErmMiSn5+vtQzOZWNgkRVUMISuTGlojcWA4EbaAxV6TgcDjp06ICwsDCkpaUhISEBI0eORHR0NNzd3VGvXj3um+DV7YU2SZQvOiTNxkD8tBwzZszAjh07sGvXLm5S0bS0NO5kmblz5wpc/3znzp1wdnbmm7EJlA2IJycnIzk5GYWFhXj16hWSk5Px5MkT7jl9+/bF0qVLcerUKTx//hxHjx7F2rVrMWDAACk+RcWi9SQIURA2m83NHLBq1SrcvHkThw8fxuHDhxEeHg4DAwP0798fgwcPRqdOnZTdXLkoW09CuoFrSTrrhg0bhqysLAQHByM9PR22traIjo7mzlZKT09HWloazzU5OTk4cuQI1q9fL7DM169fo1WrVtyvV69ejdWrV6NTp07ciTcbN27EwoUL4efnh8zMTJiammLixIlYtGiRBHehHBQkCFECFosFJycnODk5ITQ0FH///TcOHz6M33//Hbt370bdunWxbds2REdHo0ePHkJT3NRUkqTl8PPzg5+fn8BjgmY/6uvrIz8/X2h5FhYWFU551tXVRVhYGN+yBdUJdTcRomQsFgsODg4ICQnBw4cPcefOHe4vMy8vL9SuXRteXl7Yt28fMjMzldxa6ZRCFgPXbMoCq0D0JEFIFcJisWBra4tmzZohOjoaN27cwLFjx3DkyBFERUUBAFq3bo0ePXqgR48ecHV1lWjWjbIw/01hlbYMojj0JEFIFda0aVPMnz8ft27dQnp6Ovbu3QsbGxvs2LEDnTt3hpGREfr164fNmzfzDJhWVQwg9cB19ZkX9H2gJwlCqgkTExNuivPS0lIkJyfj7NmzOHv2LKZPn47i4mI0atQIHh4e6NGjB7p27Sq3jK7KRqnCFYeeJKqCYpbIjVXBRmoeNpuN1q1bY+7cubh06RKys7Nx4sQJ9OrVC+fOncOAAQNgZGSEjh07YunSpUhKSqoSc/NpZbrqh4IEId8BXV1d9O3bF5s2bcLjx4/x9OlTbNiwAYaGhlixYgXatGmDOnXqwMvLC3v27FHakq2MDAauaWU6xaLuJkK+Q40aNcLkyZMxefJkFBUVITExkds1dfDgQTAMAzs7O+4AePPmzZXdZLFQd5Pi0JMEId85VVVVdOjQASEhIbhx4wYyMzOxf/9+tG7dGvv27UP37t0FvlEsDwx1N1U79CRRw2RnZyM1NRUvX77Ey5cv8erVK7x8+RKfPn2CpaUlmjRpwt3q169fbZZYJJVnbGwMLy8veHl5gWEY3L17FydPnsT8+fPlXnf57CZpUHeTYlGQqEFevHiBRo0acZPKqaqqwtTUFGZmZtDS0sKxY8fw/PlzbpZSTU1NWFlZwcrKCpaWltzN2dkZderUUeatEBlhsViws7ODqampQoJE+dOANOg9CcWiIFGD3Lx5E8XFxTh37hxsbW1Ru3ZtvieFwsJCPH/+HI8fP+ZuqampOH36NJ4/f46CggLo6+sjIiICP/zwg5LuhNR0NCahOBQkapB79+7BwMAAXbt2FbrYipqaGpo2bYqmTZvyHSstLcXLly8xffp09O/fHzNmzMDy5cu56yOX57EZN24c7Ozs0LFjR7Ru3Vqh612Tqq180SHpygB3TAIApkyZUmG6cCI5ChJVAEtL9JoCLJboJGLCHr9Z38xLePXqFdTV1fHx40eJXrJis9lo2LAhNzPmzz//jCtXrmD06NGwsrLCmjVrMGXKFDx8+BBHjhxBfn4+tLS0MHz4cMyZMwdNmjQRu07yfWEYSB0kpL2eiIdGJWuQqVOn4vPnzxg+fLhUi92wWCxMnz4dly9fBpvNRkBAAHr27MlNPvfXX3/hw4cPSExMxNy5cxEdHQ1ra2sMHz4c//zzj6xuh1RDsnqZjigOBYkaxMbGBr///jtiYmIwdepUqVdFc3FxQUJCAnJycnD79m1cvXqVe0xVVRXOzs5YsGABUlNTsWnTJiQmJsLe3h59+/ZFYmKitLdDajBxVqYj0qEgUcN0794dv/76K7Zv3w5XV1fcvXtX6jK1tLTg4OAgdOxBQ0MDkydPxuPHjxEREYEnT57A1dUVXbt2xfnz5yvMyU++H7JYma4UoPckvpGTk4M9e/Zg3LhxcHd3h6urK/r164fFixfz/PEmCQoSNZCvry+uXr2KT58+oXXr1ggJCVHIWsuqqqoYNWoU7t27h8OHD+PDhw/o1q0bnJycsH///hqxfGdNx0D6Lifqbvq/9PR0+Pr6ol69eggODsanT5/g4OAAd3d3mJmZ4eLFi+jevTuaN2+OgwcPSlQHDVzXUM7Ozrh16xaCg4OxePFinDp1CpGRkbCyspJ73Ww2G4MGDcLAgQMRExODNWvWwNvbG7NmzcK0adMwYcIE1KpVS+7tINUXTYEtY29vj1GjRuH69etC35r//Pkzjh07hrVr1+LFixeYOXOmWHXQk0QNpqGhgWXLluHy5cvIzMyEvb09vLy8sGXLFty+fVvuTxcsFgs9evRATEwM/vnnH3h4eGDhwoUwMzNDQEAAnj17Jtf6ieLJIi1HKSgtR7l79+5h9erVItOqaGpqwsvLC9euXcPo0aPFroOCBIGbmxuSk5MRGBiI58+fIyAgAK1bt0bbtm0V1gY7Ozvs2rUL//77LwIDA7Fv3z40adIEgwYNwtWrV2nc4jtRCprdJEu1a9eW6/kABYkqQUWtRORWWsIWualpFgndKktXVxdLlixBQkICcnNzMWrUKOTk5MjxrgUzMTHBkiVLkJaWhi1btuDevXto164dXF1dcejQIYWMnRD5KX9PQrpN2XdR9TAMg9TUVO7PR2FhIQ4ePIi9e/fi3bt3UpVNQYLw0dTURIMGDfDs2TN4enri5cuXCm+DlpYWJk6ciPv37+PkyZPQ0tLCsGHD0LhxY6xbtw65ubkKbxOpOmgK7P+lpKTA0tISjRs3ho2NDVJTU+Hm5oZx48Zh8uTJsLGxwePHjyUun4IEESg4OBibNm1CdHQ04uPjldYONpuNPn364MKFC7h16xY6dOiAWbNmwczMDIGBgUprF5EM8193kTQbKFU4j9mzZ8Pe3h7Jycno06cP+vTpAzMzM7x//x7v379Hu3btEBwcLHH5FCSIQGw2G6WlpeBwOOjRo4eymwMAaNWqFX777Tc8f/4c06dPx5kzZwAAHTp0wNatW+npohqQzXsSNCbxtatXr+KXX36BnZ0dQkJC8ODBA8ycOROqqqpQU1PD7NmzpfpDj4IEESguLg6zZ8/GkCFDYGRkpOzm8Khfvz6Cg4Nx584d7tdTpkxBvXr18OOPPyIhIYEGuqsombwnQUGCR15eHgwNDQEA2tra0NbWRr169bjHzczM8ObNG4nLpyBB+Fy9ehWenp5wc3PDrl27lN0coVRUyl7ziYqKQlpaGubOnYsLFy7Azc0NLVu2xIYNG5Cdna3kVhJ5kGRMYsuWLbC0tISGhgYcHR1x+fJloedeuXIF7dq1g5GRETQ1NWFtbY1169bxnffhwwfuHygaGhqwsbFBdHQ093h8fDz69u0LU1NTsFgsHDt2TOx7rYipqSnS0tK4X69cuZJnvZe3b9/CwMBA4vIpSBAeKSkp6NWrF1q3bo3jx49DU1NT2U2qlPr162PBggV4+vQpzpw5g2bNmuGnn36Cqakphg4dil9//RV3795FaWmpsptao8liTIJhxE/LcfDgQUyfPh3z58/H7du30aFDB/Tq1Yvnl+vXtLW14e/vj/j4eDx48AALFizAggULsH37du45hYWF6N69O54/f47Dhw8jJSUF4eHhqF+/PvecT58+wd7eHps2bZL+wxOiW7duePjwIffryZMnQ1dXl/t1TEwMWrduLXH59MZ1FaCtVSDyuIHRe5HHc74I/kWuxrABMWeMbtiwATo6Ojh16hS0tbXFu7gKKB9D6dGjB968eYM9e/bg6NGjmDZtGoqLi2FoaIh27dqhQ4cO6NChAxwdHWm9CwUqf5lO2jLEtXbtWowbNw7jx48HAISFheHs2bP49ddfERoaynd+q1at0KpVK+7XFhYW+OOPP3D58mVMmDABALBr1y5kZ2fj6tWr3O8hc3NznnJ69eqFXr16id1ecWzdulXk8WHDhkn0El05epIgPI4cOYIRI0bw/CVSXdWtWxezZ89GYmIiPnz4gPPnz2PatGn49OkTgoKC4OrqCn19fbi7uyMoKAh///23sptMKsnAwACJiYlITEyEj48PcnNzUVAg+I+twsJC3Lx5Ex4eHjz7PTw8Kp38rjzLcadOnbj7Tpw4AVdXV0yZMgV169aFra0tli1bxl3+t6qwtLTkGaMQFwUJwqOwsFCitzKrOm1tbXTt2hWLFy/G+fPnuetdBAcHQ0dHBxs3boSDgwO6dOmCAwcO4PPnz8pu8neJgQy6nMDCu3fvoK+vz7MJeiIAgHfv3qGkpAR169bl2V+3bl1kZGSIbK+ZmRnU1dXh5OSEKVOmcJ9EAODZs2c4fPgwSkpKEB0djQULFmDNmjVYunSp1J+TJPLz8+VSrlRBIjQ0lLsATbm8vDz4+/vDzMwMmpqasLGxwa+//iqynPDwcHTo0AEGBgYwMDBAt27dcP36dZ5zgoKCwGKxeDYTExOeczIyMtCrVy+YmprCz8+Pp/+5c+fOYLFYiIqK4rkmLCwMFhYWkn0A3yENDY0a8QuyfL2LmTNn4vjx43jz5g0OHTqEkpISjBgxAiYmJpg4cSLNlJIxWeRuYpiybsVmzZqhWbNmWL16NXJycjB37lyRdX+7ZC/DMEKX8S13+fJlJCUlYevWrQgLC8OBAwe4x0pLS1GnTh1s374djo6OGD58OObPn1/h7zt5yM7Ohru7u1zKljhI3LhxA9u3b0fLli159gcGBuLMmTOIjIzEgwcPEBgYiKlTp+L48eNCy7p06RK8vLxw8eJFJCQkoGHDhvDw8MCrV694zmvRogXS09O5W/kUyHILFixAmzZtcPr0aTx//pznHxQo+wW4YMECSkktgqamZo0IEt9SUVHBkCFDEB8fj8ePHyMgIABnzpyBm5sbrK2tERoaitevX1dYDgUU0RhGNhtQ9i4Pm82GhoYG9PT0oK6uLrBOY2NjcDgcvqeGzMxMvqeLb1laWsLOzg6+vr4IDAxEUFAQ91i9evXQtGlTcDgc7j4bGxtkZGSgsLBQsg9IAq9fv0bHjh15xlBkSaIgkZeXB29vb4SHh/NNrUpISMDo0aPRuXNnWFhYYMKECbC3t0dSUpLQ8vbt2wc/Pz84ODjA2toa4eHhKC0txfnz53nOU1FRgYmJCXf7tlvkw4cPaNGiBezs7GBpacmXe8jLyws5OTkIDw+X5La/e/n5+fj48WON/0XXuHFjBAcHIzU1FefPn4ezszOWLFmC5s2bAwAWL16MQ4cO4dmzZ/j8+TMuXLiAhQsXokOHDtDQ0ICFhQX69++PoKAgHD9+HFlZWUq+o++POFNg1dTU4OjoiNjYWJ79sbGxcHNzq3SdDMPwjHu0a9cOT5484emxePToEerVqwc1NbVKlyuNx48fw83NDY6OjtiyZYtc6pAoSEyZMgWenp7o1q0b37H27dvjxIkTePXqFRiGwcWLF/Ho0SOx3trNz89HUVER9wWRco8fP4apqSksLS0xfPhwvlTSc+bMwbRp06Curo7bt29j1KhRPMf19PQwb9487uIchFdoaChycnJ4+l1rMjabja5du2Lv3r3IyMjAhg0bAACHDx/GsGHDYGVlBS0tLbi7u+PXX39FnTp1sGzZMgwdOhT5+fnYvHkz+vfvD1NTUwwZMgSnT5+ucoOaiiarN67FnQI7Y8YM7NixA7t27eL2cKSlpWHSpEkAgLlz5/L8vti8eTNOnjyJx48f4/Hjx9i9ezdWr16NkSNHcs+ZPHkysrKyEBAQgEePHuHUqVNYtmwZT9DKy8tDcnIykpOTAQCpqalITk4WOvVWXB06dECbNm2we/dumZQniNhTYKOionDr1i3cuHFD4PENGzbA19cXZmZmUFFRAZvNxo4dO9C+fftK1zFnzhzUr1+fJwg5Oztj7969aNq0Kd68eYOQkBC4ubnh3r173DeCnZyc8OrVK7x7945vvKKcn58f1q9fj7Vr12LhwoVi3DlQVFQkdVdV+fVfl6POiI7VagynguOCry/fL6rNJ0+exM6dO3H37l28ffsWc+bMgYWFhUT3Keje5EmR9ZXn5I+NjUVycjI+fPiA5ORkvHr1Cm3atIGNjQ3YbN5/B4Zh8Pr1axw/fhy//fYbBg0aBFNTU3h5ecHb21vkAk/K+izlrXzgWrpCxL9+2LBhyMrKQnBwMNLT02Fra4vo6GjulNX09HSeX9ylpaWYO3cuUlNToaKiAisrKyxfvhwTJ07kntOgQQPExMQgMDAQLVu2RP369REQEIDZs2dzz0lKSkKXLl24X8+YMQMAMHr0aOzZs0fs+/hWXl4e6tevz/e9J0ssRoy+hRcvXsDJyQkxMTGwt7cHUDYg7ODggLCwMADA6tWrER4ejtWrV8Pc3Bzx8fGYO3cujh49KvDJ41srV67E8uXLcenSJb7xjq99+vQJVlZWmDVrFveDF+Xrdu7duxf+/v549uwZIiMjERYWhufPnwu9Njc3F/r6+ti/fz+0tLQqrIuQ6iY/Px8jRoxATk4O9PT05FJHx44dkeZiCMPOwhfIqYzcpKdQP/gPrUyHsu79Pn36wM/PD0uWLJFLHWI9Sdy8eROZmZlwdHTk7ispKUF8fDw2bdqEnJwczJs3D0ePHoWnpycAoGXLlkhOTsbq1asrDBKrV6/GsmXLcO7cOZEBAiib0mhnZydRCtyRI0di9erVCAkJEWtmk4eHh9Q/QEVFRYiNjUX37t25L+AMujpb5DVaHNF/5Ql7OUmF4WDY+848dX2NYRh06tQJ2traiI6OrnCmR0UE3Zs8Vdf6vnz5gj///BORkZG4dOkStLS0MGDAAIwcORIuLi5gsVgKvzdFjZvI4mW6r7ubgLLu75qaLtzV1RVxcXHo2bMntLW1MWfOHJnXIVaQcHd355tRNHbsWFhbW2P27NkoKSlBUVER36MPh8OpMB3CqlWrEBISgrNnz8LJyanCthQUFODBgwfo0KGDOLcAoKyvOTQ0FAMHDsTkyZMrfZ2qqqrMfmC/LquIJbqfuogt+rjQH7pS/rq+tXDhQnh6euLixYsyy/Yqy8/pe6xPVVUVXl5e8PLyQlpaGiIiIrB7926Eh4ejSZMmGDNmDIYNGyaTusRpkyJ8PTtJ8kJk0pTvhq2tLa5cuYIePXrIJUiI1ZGlq6sLW1tbnk1bWxtGRkawtbWFnp4eOnXqhJ9//hmXLl1Camoq9uzZg71792LAgAHcckaNGsUzp3nlypVYsGABdu3aBQsLC2RkZCAjIwN5eXncc2bOnIm4uDikpqbi2rVrGDx4MHJzcyV+3dzT0xPOzs7Ytm2bRNd/L3r16gU3NzcsWLCgxs9qUoaGDRti4cKFePLkCS5evAgXFxeEhITAzs4OQFnKhYpe+KpuZJG7ifCysLDAlStX5FK2zEc7oqKi0KZNG3h7e6N58+ZYvnw5li5dyp1FAABpaWlIT0/nfr1lyxYUFhZi8ODBqFevHndbvXo195yXL1/Cy8sLzZo1w8CBA6GmpobExES+XCniWLFiBb58+SLx9d8DFouFkJAQJCUl0dRgJWKz2ejcuTP27t2LzMxM7NixA0DZuz/169eHu7s7duzYQVlt/0Mr0/GTV6YEqRP8Xbp0iedrExOTCqdjfXuNqEHjct++KS2ub+sEyvrz6K9noEuXLpg4cSKmTZuGXr16oUGDBspuUo2mo6ODIUOGIDo6Go8fP8bJkydx4MABTJw4EX5+fujRowdGjx6NQYMGST2OpGjc1eWkKYPGJBSKcjcRAEBAQAAKCgrw5MkTZTeFfMXAwADjxo3DuXPn8OrVK6xZswZZWVkYMmSIXOfGy4ts0nJUr8CoKFlZWZgyZQqaN28OY2NjGBoa8mySolThBACwd+9e6OjocKc2k6rHxMQEU6dOxdSpU+Hr6wt/f3+0bdsWtrbSTSlVpLL3JKQsgx7+BRo5ciSePn2KcePGoW7dujJ7yqQgUQWYaIpem5nDEv1TUUtVcK4lTqkKUIku7KysLGzatAn+/v5S/cVBFGfDhg24du0at1vK0tJS2U1SKENDQ3pP4htXrlzBlStXZP6HHnU3Eaxbtw6lpaWVeimRVA2ampo4dOgQ3r9/jyZNmsDb2xv//POPsptVobIpsIpfma4msLa2lktyTgoSNVxiYiI2bNgAPz+/73Idie+ZtbU1nj17hrCwMPz111+wt7dH7969ER8fX4UnZEi/fClAYxKCbNmyBfPnz0dcXByysrKQm5vLs0mKgkQNtnv3bnTq1Al2dnaYN2+esptDJKClpQV/f388fvwYkZGRePnyJTp16gQ3NzccP378u13Tm6bA8qtVqxZycnLQtWtX1KlTh7s+T61atfiydYuDgkQNVFRUhICAAPz4448YNWoULly4INU3EVE+VVVVeHt74++//8apU6egqqqK/v37w9bWFnv27MGzZ8+Ql5en9CcMRkYbdTfx8/b2hpqaGvbv34/z58/jwoULuHDhAi5evIgLFy5IXC4NXNcg6enp2Lt3L3bu3InU1FRs3rwZkydPrnZz7YlwLBYLvXv3Ru/evXH16lWsWLECY8eO5R7X1NREnTp1eLbatWtDX19fIe2TyXsSNAVWoLt37+L27dto1qyZTMulIFFDxMTEoHfv3lBVVcWgQYOwb98+tGnTRtnNInJU3uX0/PlzPHv2DJmZmXzbw4cPER8fjw8fPiimUeWPAtKWQfg4OTnhxYsXFCS+Ry8/1RJ53FhD9AJJbnqCX4Bjlfx/dayGDRsCAObNmyf2OhqkerOwsKgw23FWVhaMjY0V0yAZoCmw/KZOnYqAgAD8/PPPsLOz40vaWFFmbWEoSNQQ1tbW8PPzw6pVqzBhwoQK1/YlRF4oLYd8lGcO/vHHH7n7WCwWGIYBi8WSeFVEChI1SFBQECIjI7FgwQJK5keUglKFy09qaqpcyqUgUYMYGhril19+QUBAAMaOHSvWIvCEyIRMBq5l1JbvxLx589C/f3+0bdtWLuVTkKhh/Pz8sH//fowZMwbJycm0HCuplmhM4v/S09PRp08fcDgc9O3bFz/88AO6desGdXV1mZRP70nUMBwOB3v27MGLFy+wYMECZTeH1DgsgJF+o/ck/m/37t148+YNDh06hFq1auGnn36CsbExBg4ciD179uDdu3dSlU9BogZq1qwZli5dirCwMFy+fFnZzSE1SPmYhFSbsm+iCmKxWOjQoQNWrlyJhw8f4vr163BxcUF4eDjq16+Pjh07YvXq1Xj16pXYZVN3Uw0VEBCAP/74A2PHjsXff/8NbW1tZTeJkEqj7ibRbGxsYGNjg1mzZiEzMxMnT57EiRMnAJQtBS0OChJVQGaejsjjOqqFIo/f/1xf4H5OqQqEDU1zOBzs3r0b9vb2mDdvHtavX1+ZphIiHRm9TEdTYCuvTp06GDduHMaNGyfR9RQkarAmTZpg+fLlCAgIwMCBA9GpUydlN4l858oWHZI+LQcl5uA3YMAAgSl2WCwWNDQ00KRJE4wYMQJNmzYVq1wak6jh/P390bFjR4wdOxZ5eXnKbg753skiux8RSF9fHxcuXMCtW7e4weL27du4cOECiouLERUVhZYtW+Kvv/4Sq1wKEjUcm83Grl278ObNG8yePVvZzSGkUiRJFb5lyxZYWlpCQ0MDjo6OFU7aiIuLg6OjIzQ0NNCoUSNs3bqV75wjR46gefPmUFdXR/PmzXH06FGh5YWGhoLFYmH69OmVaq+4TExMMGLECDx79gxHjhzBH3/8gadPn2LkyJGwsrLCgwcPMHr0aLF/zilIEFhZWWHFihXYsmUL7t+/r+zmkO+Z1KvSsXjGJCo7BfbgwYOYPn065s+fj9u3b6NDhw7o1asX0tLSBJ6fmpqK3r17o0OHDrh9+zbmzZuHadOm4ciRI9xzEhISMGzYMPj4+ODvv/+Gj48Phg4dimvXrvGVd+PGDWzfvl3i/EmVsXPnTkyfPh1s9v9/rbPZbEydOhXbt28Hi8WCv78/7t69K1a5FCQIAMDW1hYAKG04kT8ldDmtXbsW48aNw/jx42FjY4OwsDA0aNAAv/76q8Dzt27dioYNGyIsLAw2NjYYP348fvzxR6xevZp7TlhYGLp37465c+fC2toac+fOhbu7O8LCwnjKysvLg7e3N8LDw+W6bktxcTEePnzIt//hw4fcvE0aGhpi/4xTkCAAynLRq6mpoXHjxspuCiEVMjAwQGJiIhITE+Hj44Pc3FwUFBQIPLewsBA3b96Eh4cHz34PDw9cvXpV4DUJCQl85/fo0QNJSUkoKioSec63ZU6ZMgWenp7o1q2bWPcoLh8fH4wbNw7r1q3DlStX8Ndff2HdunUYN24cRo0aBaCsC61FixZilUuzmwiAsiBhbW3Nl16YENmSxRrVLLx7945voaTFixcjKCiI7+x3796hpKSEL/Nx3bp1kZGRIbCGjIwMgecXFxfj3bt3qFevntBzvi4zKioKt27dwo0bN8S5QYmsW7cOdevWxcqVK/HmzRtuewIDA7njEB4eHujZs6dY5VKQqAI+ftQUeTxLU3R+peLSOgL3qzIcoe9JfOvu3bvcLidC5EZG70lwOBzu4jq+vr7w9fWtMFfRt90s5Sm0xTn/2/2iynzx4gUCAgIQExMDDQ2NCm5KehwOB/Pnz8f8+fORm5sLANDT0+M5p3xdGXFQkCAAgH///Rft27dXdjPI906G01jLB2g1NDT4fhl+zdjYGBwOh++pITMzU+i6KiYmJgLPV1FRgZGRkchzysu8efMmMjMz4ejoyD1eUlKC+Ph4bNq0CQUFBeBwOJW8W/GI+jzERUGCAADs7Ozw999/K7sZhFSKOGk51NTU4OjoiNjYWAwYMIC7PzY2Fj/88IPAa1xdXXHy5EmefTExMXBycuJ2ybq6uiI2NhaBgYE855Sn4Hd3d8edO3d4yhg7diysra0xe/ZsmQeIrKwsLFq0CBcvXkRmZiZKS0t5jmdnZ0tULgUJAqBsPeTVq1ejtLSUZwodITIn5RvXX2eBBSqXlmPGjBnw8fGBk5MTXF1dsX37dqSlpWHSpEkAgLlz5+LVq1fYu3cvAGDSpEnYtGkTZsyYAV9fXyQkJGDnzp04cOAAt8yAgAB07NgRK1aswA8//IDjx4/j3LlzuHLlCgBAV1eXrwtXW1sbRkZGcunaHTlyJJ4+fYpx48ahbt26MpupSEGCACgLEjk5OXjw4IHYsx8IqSxZrEwnyfXDhg1DVlYWgoODkZ6eDltbW0RHR8Pc3BxA2ZoMX78zYWlpiejoaAQGBmLz5s0wNTXFhg0bMGjQIO45bm5uiIqKwoIFC7Bw4UJYWVnh4MGDcHZ2lu4GJXTlyhVcuXIF9vb2Mi2XggQBALRt2xYcDgdXr16lIEHkS0mpNfz8/ODn5yfw2J49e/j2derUCbdu3RJZ5uDBgzF48OBKt+HSpUuVPldc1tbW+Pz5s8zLpX4FAgDQ0dGBvb292HldCFEGSdJyfO+2bNmC+fPnIy4uDllZWcjNzeXZJEVPEoTLzc0NZ8+eVXYzyPesfHU5KcugVOH8atWqhZycHHTt2pVnf/m03PK3rsVFQaIK0NYW/KZoucJi0f9M+WzBL8CpMeLNnnBzc8OmTZvw9u1b1K5dW6xrCakMFlO2SVsG4eft7Q01NTXs37+fBq6JfJRP3bt69arQqYGEVAW0Mh2/u3fv4vbt29yXDGWlSo5JCEqpm5eXB39/f5iZmUFTUxM2NjZ8yblSUlLQrl07mJmZITg4mOeYhYUFWCwWEhMTefZPnz4dnTt3ltetVCsNGzaEubk5zp07p+ymkO+ZDBL8iZsFtiZwcnLCixcvZF5ulQsSwlLqBgYG4syZM4iMjMSDBw8QGBiIqVOn4vjx49xzpkyZAh8fHxw/fhwnT57kG4TV0NCgNRNEYLFY6Nu3L06cOMFNQUCITJWPSUizEYGmTp2KgIAA7NmzBzdv3sQ///zDs0mqSgUJUSl1ExISMHr0aHTu3BkWFhaYMGEC7O3tkZSUxD3nw4cPaNWqFVq2bAlTU1Pk5OTwlDFx4kQkJiYiOjpaIfdTHfXr1w9paWl8b4oSIhOySBNOf78INGzYMDx48AA//vgj2rRpAwcHB7Rq1Yr7/5KqUkFCVErd9u3b48SJE3j16hUYhsHFixfx6NEj9OjRg3tOcHAwunfvDi0tLbDZbJ5jQFmX06RJkzB37ly+V9ZJmU6dOkFXVxcnTpxQdlMIEYqmwPJLTU3l2549e8b9f0lVmYHrilLqbtiwAb6+vjAzM4OKigrYbDZ27NjBk5Sud+/eePv2LXJzc4XOzlmwYAF2796Nffv2wcfHR6w2FhUVcXPJS6r8+q/LUWdEx+qKZikJO676335x2sxisdCnTx+cPXtW7K45QfcmT99zfcq6N4WQQRZYmgLLr/ztcVmrEkGiMil1N2zYgMTERJw4cQLm5uaIj4+Hn58f6tWrx/Pkoa6uLnL6Zu3atTFz5kwsWrQIw4YNE6udMTEx0NISnba7smJjY7n/vRAOok8WPUO2wuNf11UZ5Z+LpN1y4tYnre+5PkXVlZ+fr5B6ZJUqnJRJSEiAq6trpc799OkTnj9/Xj0XHaoopW5OTg7mzZuHo0ePwtPTEwDQsmVLJCcnY/Xq1WKv+DRjxgxs2bIFW7ZsEes6Dw8PqVPwFhUVITY2Ft27d+dmk/SMWyDyGg5bdNdYYEPBv0iYEnV8eTiPp67KyM7OhpWVFdatW4cxY8ZU+jpB9yZP33N9ir63rKwsudcB4L8gIf2iQ6TMqFGjYGFhAV9fX/Tu3Rs6Ojp859y/fx+RkZHYvXs3Vq5cWT2DREUpdUtKSlBUVMSXnZTD4Ug0tqCjo4OFCxciKCgIffv2rfR1qqqqMvuB/bqsQpboNyE5LNH3yOKIfpQQt91169ZF+/btsW3bNowfP17sl3Jk+TnV9PoUVVd1W5GQ3pMoc//+fWzbtg2LFi2Ct7c3mjZtClNTU2hoaOD9+/d4+PAhPn36hIEDByI2Nlai7LNVIkhUJqVup06d8PPPP0NTUxPm5uaIi4vD3r17sXbtWonqnDBhAtatW4cDBw4oLWtjVTZt2jR4enoiISGB+5IdIbIg9RvTNCbBpaqqCn9/f/j7++PWrVu4fPkynj9/js+fP8Pe3h6BgYHo0qULDA0NJa6jSgSJyoiKisLcuXPh7e2N7OxsmJubY+nSpdx88OJSVVXFkiVLMGLECBm39PvQs2dPNGnSBBs2bKAgQWSHxiTkpnXr1mjdurXMy62yQeLblLomJibYvXu3xOU9f/6cb5+Xlxe8vLwkLvN7xmazMXXqVAQGBuLly5cwMzNTdpMI4aLuJsWpUu9JkKpl9OjR0NLS4kt/QoiyUVoOxaEgQYTS09PD2LFjsW3bNrksZkJqnvIssFJtyr6JGqbKdjfVJAUlov8ZVCF69tP5j4KntHFKVdFW4laVmTp1KjZu3IioqCiMHTtWytIIkc16EkRxKEgQkRo3bgwPDw/s2LGDggSpMmhMQnEoSJAKjR8/HkOGDMH9+/e50w4JkUjpf5uUZdAUWH7Pnz/nToHNz89H7dq10apVK7i6ugrNZFEZFCRIhfr16wdjY2Ps3LkTa9asUXZzSDXGggxWppNJS74f+/fvx4YNG3D9+nXUqVMH9evXh6amJrKzs/H06VNoaGjA29sbs2fPlii/EwUJUiE1NTWMHj0ae/bswbJly6Curq7sJpEajrqbyrRu3RpsNhtjxozBoUOH0LBhQ57jBQUFSEhIQFRUFJycnLBlyxYMGTJErDpodhOplHHjxiErK4tnkSdCxCaj9SRoCmyZJUuWICkpCf7+/nwBAihLeNq5c2ds3boVDx48gIWFhdh1UJAglWJjY4N27dphx44dym4Kqe5o0SGZKU94WhnGxsZo06aN2HVQkCCVNn78eMTGxiI1NVXZTSHVVRV/T+L9+/fw8fGBvr4+9PX14ePjgw8fPoi8JigoCNbW1tDW1oaBgQG6deuGa9eu8ZzTuXNnsFgsnm348OE85/Tr1w8NGzaEhoYG6tWrBx8fH7x+/Vqi+/j8+TNyc3N5NklRkKgCtFQLRW66qgUiNw12kcBNnS3bhWSGDBkCXV1d7Nq1S6blEiIuea1MN2LECCQnJ+PMmTM4c+YMkpOTK1ycrGnTpti0aRPu3LmDK1euwMLCAh4eHnj79i3Peb6+vkhPT+du27Zt4znepUsXHDp0CCkpKThy5AiePn2KwYMHV7rt+fn58Pf3R506daCjowMDAwOeTVIUJEilaWtr48cff8Tq1av5/lIipFLK15OQapPPmMSDBw9w5swZ7NixA66urnB1dUV4eDj+/PNPpKSkCL1uxIgR6NatGxo1aoQWLVpg7dq1yM3NxT///MNznpaWFkxMTLibvr4+z/HAwEC4uLjA3Nwcbm5umDNnDhITEyu9auDPP/+MCxcuYMuWLVBXV8eOHTvwyy+/wNTUFHv37hX/A/kPBQkiluXLl6N169bo27evVOvmkhpMRmMSpaWlKC0txZcvX5Cbm4uCgoqWcBQtISEB+vr6PEsHuLi4QF9fH1evXq1UGYWFhdi+fTv09fVhb2/Pc2zfvn0wNjZGixYtMHPmTHz8+FFoOdnZ2di3bx/c3NwqvdbHyZMnsWXLFgwePBgqKiro0KEDFixYgGXLlmHfvn2VKkMQChJELBoaGjh+/Dj09fXRu3dvZGdnK7tJpBqRRe4mMGUrV6akpCAlJQUzZ86Evr4+QkNDpWpbRkYG6tSpw7e/Tp06yMjIEHntn3/+CR0dHWhoaGDdunWIjY2FsbEx97i3tzcOHDiAS5cuYeHChThy5AgGDhzIV87s2bO5a+mkpaWJNZswOzsblpaWAMryrpX/bLZv3x7x8fGVLudbFCSI2IyNjREdHY13795hwIABUv8FR4i4jI2NkZOTw7PNnTtX4LlBQUF8g8bfbklJSQAgcBVGhmEqXJ2xS5cuSE5OxtWrV9GzZ08MHToUmZmZ3OO+vr7o1q0bbG1tMXz4cBw+fBjnzp3DrVu3eMr5+eefcfv2bcTExIDD4WDUqFFgmMpN52rUqBF3SYTmzZvj0KFDAMqeMGrVqlWpMgShl+mIRJo0aYLjx4/D3d0dP/74IyIjI5XdJFIdyGgK6/v37+Hi4gKg4rQc/v7+fDOJvmVhYYF//vkHb9684Tv29u1b1K1bV+T12traaNy4MRo3bgwXFxc0adIEO3fuFBq4WrduDVVVVTx+/JhnoSBjY2MYGxujadOmsLGxQYMGDZCYmAhXV1eR9QNlSz7//fff6NSpE+bOnQtPT09s3LgRxcXFEq/gCVCQIFJo164d9u7di2HDhkFPTw8tW7aEqakpgoOD4ezsjI4dO0JPT0/ZzSRVjNRpORjx4kz5L96KuLq6IicnB9evX0fbtmX5k69du4acnByxV2dkGEbkE/a9e/dQVFSEevXqiSwDQKWf1AMDA7n/3aVLFzx8+BBJSUmwsrLiGx8RBwWJKkCDUyz6uIro4xkFgn8Rq5TK/5936NChSEtLw6xZs6Cjo4PffvsNkZGRCAkJAYfDgZOTE9zd3TFy5EjY2NjIvT2kZpBHWg4bGxv07NkTvr6+3OmpEyZMQJ8+fdCsWTPuedbW1ggNDcWAAQPw6dMnLF26FP369UO9evWQlZWFLVu24OXLl9z0F0+fPsW+ffvQu3dvGBsb4/79+/jpp5/QqlUrtGvXDgBw/fp1XL9+He3bt4eBgQGePXuGRYsWwcrKqlJPEYI0bNhQ4FvY4qIgQaQ2c+ZM+Pn5QUVFBadPn0ZKSgpevHiB8+fP48KFC9i+fTu2b9+Ov//+G6ampspuLlEmGa1xLa8ssPv27cO0adPg4eEBoOwFt02bNvGck5KSgpycHAAAh8PBw4cPERERgXfv3sHIyAht2rTB5cuX0aJF2TovampqOH/+PNavX4+8vDw0aNAAnp6eWLx4MTgcDgBAU1MTf/zxBxYvXoxPnz6hXr166NmzJ6KiokTmStuwYUOl723atGlifRblKEgQmdDS0uLO52axWLCysoKVlRUmTJiAt2/fwt7eHj4+PtwBOVJDVfG0GoaGhhWOr309kKyhoYE//vhD5PkNGjRAXFycyHPs7Oxw4cKFyjf0P+vWravUeSwWi4IEqbpq166NyMhIdOvWDStWrMC8efOU3SSiJDJJFV6Fg4yiKSJFDgUJohBdu3bFvHnzsGjRIrRv3x4dO3ZUdpNINUapwhWHggRRmKCgIFy5cgXDhw9HcnKywBeXCKkMWpmOX0lJCfbs2YPz588jMzMTpaW8SwBK0p0FUJAgCqSiooIDBw7AwcEB3t7eOHPmDI1P1DQyGrgm/AICArBnzx54enrC1ta2whcAK4uCBFGoevXqYf/+/ejevTv69+8PPz8/dO/eHSoq9K1YE3BTa0hZBuEXFRWFQ4cOoXfv3jItl34yq4AvJaL/GVTYoleOT8kR3G2jxnDQXeJWyY+7uzt+++03LFu2DL1794aJiQm8vb0xatQotGzZUtnNI9UAjUnwU1NTQ+PGjWVeLuVuIkrh7e2Nu3fvIikpCUOHDkVERATs7e3h4OCAtWvXVphQjVRjMsgAS8uX8vvpp5+wfv36Sud6qix6kiBKw2Kx4OjoCEdHR6xevRqnT5/G3r17MXfuXMyaNQseHh4YPXo0+vXrB01NTWU3l8gCjUnI1LeZZC9cuIDTp0+jRYsWfCnGK3qfQxgKEqRKUFVVRb9+/dCvXz9kZ2fj0KFDiIiIwPDhw6Gvr4/4+HjqiiJc1N1U5tuFiwYMGCDzOihIkCrH0NAQkyZNwqRJk/Do0SO4uLjg2LFjFCS+BzIYuJZnWo7qZvfu3XKvg8YkSJXWtGlTODo64ubNm8puCpEVGYxJEH6pqal4/Pgx3/7Hjx9z15mQBAUJUuVRkPh+yGJlOpoCK9iYMWMELrN67do1jBkzRuJyKUiQKs/R0RGvXr0SuCAMqZkMDQ1x//593L9/v8Z2NX3r9u3b3NTjX3NxcUFycrLE5VKQqAbefNIVuTEMS+j2PXB0dAQAepr4Xkjb3cTQFFhBWCwWPn78yLc/JycHJSUlEpdLQYJUeZaWljAwMMC1a9eU3RQiLRkECBqXEKxDhw4IDQ3lCQglJSUIDQ1F+/btJS5XqiARGhoKFouF6dOnc/cJW2h81apVQsvp3LmzwGs8PT255whazNzExISnnIyMDPTq1Qumpqbw8/PjSXBVXkdUVBTPNWFhYbCwsJDmYyByxmKx0KdPH4SGhmLbtm0yf1mIKI5MxiSUfRNV1MqVK3HhwgU0a9YMY8eOxdixY9GsWTPEx8eL/P1bEYmDxI0bN7B9+3a+aYnp6ek8265du8BisTBo0CChZf3xxx8819y9exccDoe7/F+5Fi1a8Jx3584dnuMLFixAmzZtcPr0aTx//hwHDhzgOa6hoYEFCxZwF8ch1ceOHTvg6+uLSZMmYcKECZVe95d8n2hMgl/z5s3xzz//YOjQocjMzMTHjx8xatQoPHz4ELa2thKXK9F7Enl5efD29kZ4eDhCQkJ4jn371/3x48fRpUsXNGrUSGh5hoaGPF9HRUVBS0uLL0ioqKjwlf+1Dx8+oHv37rCzs4OlpSV3icFyXl5eOHnyJMLDw+Hn5yfyHknVoqamhs2bN8PJyQmTJ0/GnTt3cPjwYWU3i0iC3pOQG1NTUyxbtkymZUr0JDFlyhR4enqiW7duIs978+YNTp06hXHjxolV/s6dOzF8+HBoa2vz7H/8+DFMTU1haWmJ4cOH49mzZzzH58yZg2nTpkFdXR23b9/GqFGjeI7r6elh3rx5CA4OxqdPn8RqE6kaxo4di8uXLyMtLQ1eXl7Kbg4RF41JyFRaWppY57969UrsOsR+koiKisKtW7dw48aNCs+NiIiArq4uX34RUa5fv467d+9i586dPPudnZ2xd+9eNG3aFG/evEFISAjc3Nxw7949GBkZAQCcnJzw6tUrvHv3TugTh5+fH9avX4+1a9di4cKFlW4XABQVFUndVVV+/dflqDGi11QoquC4GiM4S6zqf9cpqntN0L3Jg4ODA44dO4YffvgBABTW9aSo+1N0XYqsR1YoLUeZNm3aoF+/fvD19UXbtm0FnpOTk4NDhw5h/fr1mDhxIqZOnSpWHWIFiRcvXiAgIAAxMTHQ0NCo8Pxdu3bB29u7UueW27lzJ2xtbfluuFevXtz/trOzg6urK6ysrBAREYEZM2Zwj1XUJaWuro7g4GD4+/tj8uTJlW4XAMTExEBLS0usa4SJjY3l/vckSD7zAABQwe/Ir+tSBEXVt3XrVgDA+fPnFVJfOUV+noqqKz8/XyH1yCQtB6i7qdyDBw+wbNky9OzZE6qqqnBycoKpqSk0NDTw/v173L9/H/fu3YOTkxNWrVrF83u0ssQKEjdv3kRmZiZ33jpQNsUqPj4emzZtQkFBAXelscuXLyMlJQUHDx6sdPn5+fmIiopCcHBwhedqa2vDzs5O4GvoFRk5ciRWr16NkJAQsWY2eXh4QE9PT+z6vlZUVITY2Fh0796dm6Wx5e9rRF9UwXSOftZ3BO7nlKrA+eVARNeOQTG7WOA5bJbotSo0OML/wiwp5X3C4ZSqoNub3jhXNxol7GIUlIr+9lJli567vbHVryKPl3+Wu3fvRkxMDFgsFpo1a4YlS5bAw8ND5LWSEPRvJy+KrAsAsrKy5F4HF2WBlRlDQ0Pu77Lo6GhcvnwZz58/x+fPn2FsbAxvb2/06NFDcQPX7u7ufDOKxo4dC2tra8yePZtnKcqdO3fC0dER9vb2lS7/0KFDKCgowMiRIys8t6CgAA8ePECHDh0qfwP/YbPZCA0NxcCBA8V6mlBVVZXZD+zXZRVA9C/qipQICQDlitnFEgcJUWUXC/lpLfmvPtGtAlgVBInKfta///47Hj16hGvXrmHbtm0IDAzEw4cPwWbL5zUgWX4fVJW6FHU/tDKdfGhoaGDgwIFide1XllhBQldXly8iaWtrw8jIiGd/bm4ufv/9d6xZI/gv5FGjRqF+/foIDQ3l2b9z507079+fO8bwtZkzZ6Jv375o2LAhMjMzERISgtzcXIwePVqcW+Dy9PSEs7Mztm3bhrp160pUBqk6WrRogRYtWqBp06bo0KEDYmJi0LNnT2U3i8gJjUkojlz+1IqKigLDMEJnn6SlpSE9PZ1n36NHj3DlyhWhM6FevnwJLy8vNGvWDAMHDoSamhoSExNhbm4ucTtXrFiBL1++SHw9qXratWsHBwcHStVQVclodhOl5eB148YNeHt7w9LSEpqamtDS0oKlpSW8vb2RlJQkVdlSrydx6dIlvn0TJkzAhAkTxLqmadOmIt+k/fZNaXEJqtPV1ZXe3v3OsFgsDBw4EBs2bFB2U4gwVfhH7v3795g2bRpOnDgBAOjXrx82btyIWrVqCb2GxRI8aLhy5Ur8/PPPAIDt27dj//79uHXrFj5+/Ij379/zlSlJ3QBw7NgxDB06FO7u7ggICEDdunXBMAwyMzMRExODdu3a4dChQ9zZgOKiRYfId6dx48Z49+4dcnNzpZ5oQKomeXU3jRgxAi9fvsSZM2cAlP3B6+Pjg5MnTwq95ttekdOnT2PcuHE8WSby8/PRs2dP9OzZE3PnzpVZ3UBZpong4GDMmTOH79j06dOxYsUKzJs3j4IEIeXK3+5/+vQpWrVqpeTWkK+xIH3uJRbkMwX2wYMHOHPmDBITE+Hs7AwACA8Ph6urK1JSUtCsWTOB11Umy0R5fjtBPRrS1A0AT548ETlg3b9/fyxevFjo8YpQkKgCSotFDw2x2KKfz48+EDyDTB1suGkC6uxicCSc3WSkKvzN9Nxi3vdfOP+VpcEprHDGFYAKp8hKysrKCgDw7NkzChJVjSzemP7v+vIEnl++fEFubi7U1dWhrq4ucbEJCQnQ19fn/pIGytZi0NfXx9WrV0X+oi5XnmUiIiJCYXVbWVnh2LFjmDVrlsDjx48fF5kWqSIUJMh3x8jICHp6enj69Kmym0K+JaMpsCUlJUhJSQFQNvNx5syZWLx4MYKCgiQuNyMjA3Xq1OHbX6dOHWRkZFSqDEmyTEhbd3BwMIYPH464uDh4eHigbt26YLFYyMjIQGxsLGJiYqQa06UgQb47LBYLjRo1oiDxHTM2NsaTJ0949gl7iggKCsIvv/wisrzyNEOCBqEZhhE6OP0tSbJMlJO07kGDBiE+Pp6bbqg8qJiYmMDV1RVxcXFwdXUVuz3lKEiQ75KVlRUePnyo7GYQQWTQ3fT+/Xu4uLgAqHhMwt/fH8OHDxdZpIWFBf755x+BS+S+ffu2Uu9SSZJlopyJiYlUdbu6ukoVCEShIEG+S56envjxxx9x69YttG7dWtnNIeWUkMXV2NgYxsbGFZ7n6uqKnJwcXL9+nZs77tq1a8jJyYGbm1uF10uSZUJWdcsTLV9Kvks+Pj5o2rQpFixYoOymkK/IYmU6eQUZGxsb9OzZE76+vkhMTERiYiJ8fX3Rp08fnoFja2trHD16lOfa8iwT48ePF1h2RkYGkpOTuV1kd+7cQXJyMrKzs8WqWxIPHjyQauCaggT5LqmoqCA4OBinT5/GX3/9pezmEBmT18p0+/btg52dHTw8PODh4YGWLVvit99+4zknJSWFb0GzirJMbN26Fa1atYKvry8AoGPHjmjVqhX3xbnK1i2JwsJC/PvvvxJfT91N5Ls1ZMgQhIaGYv78+bh48WKlBx+JnFXhlekMDQ0RGRkpunoBWRoqyjIRFBRU4cyrytQtyNdLJQjy9u1bscv8GgWJ74CQNYe4P4svP+ujiCU442odjTyRZeeVCJ93rsPhXcii/J0LbU4hStlFFb4Hoaci37xZbDYbISEh6Nu3L86dO4fu3bvLtT5SMZlkgZVNU74b69evh4ODg9DsAnl5on/GK0JBgnzXPD094eLignnz5qFbt270NPGdoCyw/9ekSRMEBgYKXWIhOTmZZw0gcdGYBPmusVgsLFu2DElJSTh+/Liym0MoC6zMOTo64ubNm0KPs1gsqRKZ0pME+e516dIF7u7uWLhwIfr27cuzOBZRPFp0SLbWrFkjcp13e3t7bgoTSdCTBKkRli5dirt370qdcp5ISUZPEuT/TExMpFpXpyL0JEFqBGdnZ/Tt2xcrVqyAt7e3sptDpERjEopDTxKkxhg9ejTu3LmDZ8+eKbspNZsMniJoTIKfgYEBDA0N+TYjIyPUr18fnTp1wu7du8Uul4IEqTF69OgBdXV1GsBWoqr8xnV1t2jRIrDZbHh6euKXX35BUFAQPD09wWazMWXKFDRt2hSTJ09GeHi4WOVSd1MVoK0v+n0BbfVCkccNNPMF7ldlOECODTTYxeCwBb8nUZFSRviUUfY3I4jlX7P/+2k2Vc8RdBmXmVq2RG2SlI6ODtzd3XH8+HEEBgYqtG7yHxmuJ0F4XblyBSEhIZg0aRLP/m3btiEmJgZHjhxBy5YtsWHDBu6b35VBTxKkRunXrx+uXLmCrKwsZTeFSEFeaTmqs7Nnz6Jbt258+93d3XH27FkAQO/evcXubqUgQWqUfv36oaSkpMJ1g4l8sACwGEa6DTQmIYihoaHA7+uTJ0/C0NAQAPDp0yfo6uqKVS51N5EapV69eujSpQt27dqFMWPGKLs5NQ91N8nNwoULMXnyZFy8eBFt27YFi8XC9evXER0dja1btwIAYmNj0alTJ7HKpSBBapwJEybAy8sLDx8+hLW1tbKbQyRAU2D5+fr6onnz5ti0aRP++OMPMAwDa2trxMXFcdek+Omnn8Qul4IEqXEGDBgAIyMj7NixA6tXr1Z2c2oWGa1xLa8ssNVdu3bt0K5dO5mWSUGC1Djq6uoYNWoUIiIisHTpUqFrIxM5oe4muSkpKcGxY8fw4MEDsFgsNG/eHP369ZMqFQ0FiSqgtFR0ZlIN1SKRx7+disrd/99PUynDEjqVtbBU9DePOrtY6LEihvdazn9fFzMclDCl0FcRPDW33Bi9TJHH5cnX1xfr1q3DsWPHMGzYMKW1o6ahVOHy8+TJE/Tu3RuvXr1Cs2bNwDAMHj16hAYNGuDUqVOwsrKSqFya3URqJBsbG7Rv317sF4tI1UBTYPlNmzYNVlZWePHiBW7duoXbt28jLS0NlpaWmDZtmsTlUpAgNZavry/Onz+Pp0+fKrspNQelCpebuLg4rFy5kjvdFQCMjIywfPlyxMXFSVwuBQlSYw0ZMgS1atXCzp07ld2UGoXScsiHuro6Pn78yLc/Ly8PampqEpdLQYLUWJqamhg5ciR27dqFoiLR4z6kaqHuJn59+vTBhAkTcO3aNTAMA4ZhkJiYiEmTJqFfv34Sl0tBgtRovr6+ePPmDf78809lN6VmkNFaEtTdxG/Dhg2wsrKCq6srNDQ0oKGhgXbt2qFx48ZYv369xOXS7CZSo7Vs2RJt27bFjh07MGDAAGU357snk9lN1N0kUK1atXD8+HE8fvwYDx8+BMMwaN68ORo3bixVuRQkSI3XvXt3/Pbbb8puRg3BAFKst1xWBEUJUZo0aYImTZrIrDwKElVAcbHodxVyPmuIPK6pIrg/vfzdCBV2KRi24DVu9VU/iyz723chvqbF4k1hzkbpV/9filJGdG+m8+3BIo/f6CXysMzo6uri06dPiqmMyASl5SgzY8aMSp+7du1aieqgIEFqPG1tbeTl5Sm7GTWCrLqbKC1Hmdu3b1fqPBZL8lcQ5T5wHRoaChaLhenTp3P3sVgsgduqVauElrNnzx6B13z58v8Fe/Ly8jB8+HDUq1cPw4cP5/nrcMyYMWCxWFi+fDlPuceOHZPqAyTVn46ODgoKClBcLPztciIjMhq4lpelS5fCzc0NWlpaqFWrVqWuYRgGQUFBMDU1haamJjp37izwKSchIQFdu3aFtrY2atWqhc6dO+Pz57In+UuXLgn9vXjjxg2hdV+8eLFS24ULFyT6PAA5B4kbN25g+/btaNmyJc/+9PR0nm3Xrl1gsVgYNGiQyPL09PT4rtXQ+H9XTFhYGHR0dBATEwMtLS2EhYXxXK+hoYEVK1bg/fv3MrtHUv1pa2sDAHU5KQIDsEql2yC451QmCgsLMWTIEEyePLnS16xcuRJr167Fpk2bcOPGDZiYmKB79+487ywkJCSgZ8+e8PDwwPXr13Hjxg34+/uDzS77Fezm5sb3u238+PGwsLCAk5OTzO9THHLrbsrLy4O3tzfCw8MREhLCc8zExITn6+PHj6NLly5o1KiRyDJZLBbftV/78OEDmjZtCjs7O1hbW+Pdu3c8x7t164YnT54gNDQUK1euFPOOyPdKR0cHQNn3rL6+vpJbQypDXmMSv/zyC4CynovKYBgGYWFhmD9/PgYOHAgAiIiIQN26dbF//35MnDgRABAYGIhp06Zhzpw53Gu/HlxWU1Pj+d1WVFSEEydOwN/fX+k9HXJ7kpgyZQo8PT0FLqf3tTdv3uDUqVMYN25chWXm5eXB3NwcZmZm6NOnD19/nL+/P7Zt2wZVVVXs3r0bAQEBPMc5HA6WLVuGjRs34uXLl+LfFPkulQcJepJQEBm9J2FtbQ1ra2usWbMGubm5KCgoUPCNAKmpqcjIyICHhwd3n7q6Ojp16oSrV68CADIzM3Ht2jXUqVMHbm5uqFu3Ljp16oQrV64ILffEiRN49+5dlVgYSy5BIioqCrdu3UJoaGiF50ZEREBXV5cbhYWxtrbGnj17cOLECRw4cID7osjjx4+551hYWODx48d48eIF7t+/j/r16/OVM2DAADg4OGDx4sXi3xj5LpV3N9HgtfxJm5KjfCspKUFKSgpSUlIwc+ZM6OvrV+r3jaxlZGQAAOrWrcuzv27dutxj5WtKBwUFwdfXF2fOnEHr1q3h7u7O8/vrazt37kSPHj3QoEEDOba+cmTe3fTixQsEBAQgJiaGZ7xAmF27dsHb27vCc11cXODi4sL9ul27dmjdujU2btyIDRs2cPez2WyRXVIAsGLFCnTt2lXsVZqKioqkTt9Qfv3X5ahXEKvVK5hKqipkmmr5fhUR6cBVSkV/C3BETEVhfzOKyP6vLO7/l4geCFYTMb0WQIWftaDPUhJaWlrQ1NTEhw8fRJYlq/oqQ5F1KbIeWTE2NsaTJ0949glbFyQoKIjbjSTMjRs3pOr7/7ZLiGEY7r7S0rJBlIkTJ2Ls2LEAgFatWuH8+fPYtWsXX3B7+fIlzp49i0OHDkncHlmSeZC4efMmMjMz4ejoyN1XUlKC+Ph4bNq0CQUFBdwFMC5fvoyUlBQcPHhQ7HrYbDbatGkjNBKL0rFjR/To0QPz5s0T63GufEBcFmJjY7n/vVStheiTKxqoyxF9eMj7LpVrlIy0fjG0UufNquB4dHR0pcr5+rOU1IEDB/Dx48dK1SmL+ipLUXXl54te+0NmGMjkZbr3799z/2isaAqsv78/hg8fLrJICwsLiZpS/gdpRkYG6tWrx92fmZnJfboo318+ZbecjY0N0tLS+MrcvXs3jIyMpMq3JEsyDxLu7u64c+cOz76xY8fC2toas2fP5lkhaefOnXB0dIS9vb3Y9TAMg+TkZNjZ2UnUzuXLl8PBwQFNmzat9DUeHh7Q09OTqL5yRUVFiI2NRffu3aGqqgoAcDq5QuQ1+lpfRB7XEPIynSrDwYR8Z/xucBHF7BKB56hzRP+1r8ISHqFMNHJ5vmaXqsDpxWAkNTiMUnYx1Nmi/zpN/mAm8vhBV+FTogHBn6WkevToAVNTU+zevVsh9VVEkXUBQFZWltzrAMoWDFJ0Wg5jY2MYGxtLV6kQlpaWMDExQWxsLFq1agWgbIZUXFwcVqwo+7m2sLCAqakpUlJSeK599OgRevXifWOUYRjs3r0bo0aNUsi/e2XIPEjo6urC1taWZ5+2tjaMjIx49ufm5uL333/HmjVrBJYzatQo1K9fn/so9ssvv8DFxQVNmjRBbm4uNmzYgOTkZImTe9nZ2cHb2xsbN26s9DWqqqoy+4f7uqyCCh4VClmCf8GXY1dwvJhdgiIhQYIjYuU5AP/NORSsREgQKGUXo4RdhNIKgkRRBe2u7Gcti3+X1q1b48iRI5UqR5bfB1WlLoX9Qqriqb7T0tKQnZ2NtLQ0lJSUIDk5GQDQuHFj7gQHa2trhIaGYsCAAdx3wJYtW8ZNh7Fs2TJoaWlhxIgRAMq6on7++WcsXrwY9vb2cHBwQEREBB4+fIjDhw/z1H/hwgWkpqZWaiKPoijtjeuoqCgwDAMvLy+Bx9PS0rhziIGy6a0TJkxARkYG9PX10apVK8THx6Nt27YSt2HJkiVVpt+PKJezszPWrFmDN2/e8A1CkqpHXlNgFy1ahIiICO7X5U8HFy9eROfOnQEAKSkpyMn5fx/vrFmz8PnzZ/j5+eH9+/dwdnZGTEwMdHV1uedMnz4dX758QWBgILKzs2Fvb4/Y2Fi+JUV37twJNzc32NjYyPzeJMViGMqWVZHc3Fzo6+sjJydHJt1N0dHR6N27N/evN+s/gkVeU0tbdH4lYd1NagwHUz654YDROaFPEhoc0X/ti+puqqfBOxjCKVVF23+H47p5FErYRdCo4Eni5vuGIo+f7CD6KU/QZympFy9eoGHDhjh+/LjQvmBZ1lcRRdYFlHU3GRsby+R7XJiOHTviTX4D1GnQSqpy3r95iKzUUzAwMABQs9NyKAKtJ0EIADMzM9SrVw+JiYnKbsp37r8ssFJtyr6HmoUS/BGCsn5jFxcXXLt2TdlN+a7JIsEfUSwKElXAl1zB87vLlVYwu6lYyHsU7P/2Z3/REjr4ra4ieuDaXFt4nivVb8pks8rqU2GVVDiYDgCDTW5WeI4iOTs7IyQkBCUlJTyz8EjVQ6nCFYe6mwj5j4uLC/Ly8vDgwQNlN+X7JYsssAwtX6pIFCQI+Y+joyPYbDaNS8hR+XsS0m5Ecai7iZD/6OjowM7ODteuXcP48eOV3RwiAnU3KQ49SRDyFWdnZ3qSkKdSRvqNYai7SYEoSBDyFRcXF9y7dw+5ubkVn0wkI4txCaIwFCQI+YqzszMYhkFSUpKym/J9klGqcKI4NCZByFesra2hp6eHxMREdO3aVdnNIULQmITiUJCoAjT0RK+o9fGz6PcoamkLTp1R8t97Ehx2KThC0muoCUnXUa4UwpdOzCrS5vma8986EtlFWihhF6OR5luRZX8sqXi9EUVjs9lo27YtvVQnLzJKFV4+JgFQWg55o+4mQr7h4uKCxMREUFoz2ZPFFFiiWPQkQcg3yt+8/vfffyVejIbIF3U3KQ49SRDyDWdnZwCgqbDyQG9cVzsUJAj5Ru3atdGoUSMal5ADFhiwGOk3ojjU3USIAOXjEkTGSlHxmu0VoRihUBQkCBHA2dkZR44cQUFBAdTVRc8uI4pHYxKKQ91NhAjg4uKCgoIC/P3338puyndGFt1NNCahSPQkUQVUtJ6Emk6hyOO5nwW/b6D+398AH75ooFDIexIa2qLXk3j7RUfosXqavMuXspmydyoYhoVShoUXXwxFlj27TpzI48pkb28PNTU1XLt2Tap11Mk3ZJFWg7qbFIqeJAgRQF1dHa1bt6ZxCVkrf5lOmo2ihELRkwQhQjg7O+P333/HgwcPYGNjo+zmkK/QmITi0JMEIUKMHTsWbDYbLVq0gJOTE/r16wcA8PPzw08//YSUlBQlt7D6kdWiQzQmoTgUJAgRwt7eHk+ePMG2bdvQqlUrxMWVjaHs27cPa9euhbW1NaKiopTcympG2q4mbpcTURTqbiJEBHV1dfj6+sLX15e7xsSkSZOwefNmFBYWwsvLC+rq6hgwYICSW1qzUHeT4lCQIKSSFixYgGfPnsHKygovXrzA1q1bkZ+fD1dXV2U3rdpgMYCQiXaV91V3E0BZYOWNupuqALZaicitpIQtcisq4gjdAECVzUCVXSpwyynUELnlF6sK3dTZxTybGrtsOq3af1+XMmyR24dSlsitqrG2tgYArFq1Ctra2li0aBGWL18OExMTJbesGpFJd5P8mrd06VK4ublBS0sLtWrVEvv6iRMngsViISwsjLsvOzsbU6dORbNmzaClpYWGDRti2rRpyMnJEVhGQUEBHBwcwGKxkJycLNmNyBAFCULE9P79e6xfv17ZzaieZJTgT14KCwsxZMgQTJ48Wexrjx07hmvXrsHU1JRn/+vXr/H69WusXr0ad+7cwZ49e3DmzBmMGzdOYDmzZs3iK0OZqLuJEDH9+OOPWLlyJSZPngwDAwNlN6dGkteYxC+//AIA2LNnj1jXvXr1Cv7+/jh79iw8PT15jtna2uLIkSPcr62srLB06VKMHDkSxcXFUFH5/6/h06dPIyYmBkeOHMHp06clvxEZoicJQsQ0c+ZMFBcXY+XKlcpuSrUkdVoOlK1MZ21tDWtra6xZswa5ubkoKBC9wqO8lJaWwsfHBz///DNatGhRqWtycnKgp6fHEyDevHkDX19f/Pbbb9DS0pJXc8VGQYIQMdWpUwcBAQHYuHEj3r9/r+zmVC8ymgJbUlKClJQUpKSkYObMmdDX10doaKhSbmnFihVQUVHBtGnTKnV+VlYWlixZgokTJ3L3MQyDMWPGYNKkSXBycpJXUyVC3U2ESGDatGlYs2YNRo8eDUdHR+jq6kJHRwfOzs6wt7dXdvOqLgYySRXO4XDQrFkzAOBOURaWrTcoKIjbjSTMjRs3JPrlfPPmTaxfvx63bt0Ci1XxZIvc3Fx4enqiefPmWLx4MXf/xo0bkZubi7lz54rdBnmjIEGIBOrWrYulS5di27ZtSEpKwsePH5GXlwd1dXVER0eja9euym7id02cMQl/f38MHz5c5DmSLlN7+fJlZGZmomHDhtx9JSUl+OmnnxAWFobnz59z93/8+BE9e/aEjo4Ojh49ClVVVe6xCxcuIDExkS/QOTk5wdvbGxERERK1TxYoSBAioZ9++gk//fQT9+uCggL069cP/fr1w/nz57nLoJL/k8XKciyGEes9CWNjYxgbG0tVpzA+Pj7o1q0bz74ePXrAx8cHY8eO5e7Lzc1Fjx49oK6ujhMnTkBDgzdz84YNGxASEsL9+vXr1+jRowcOHjyo9O8jChJVQOknVZHHWVqi03mzWIJ/6EpR9vhbVMpCEUvw8JMKp0Rk2WwhZQPAo491eL5WZTjoBOBJXm0UsUpgrp0tsuwPpd/XYj7q6ur4448/4OHhgUGDBiElJQXa2trKblbVI21aDTlOgU1LS0N2djbS0tJQUlLCfU+hcePG0NEpS5tvbW2N0NBQDBgwAEZGRjAyMuIpQ1VVFSYmJtzusI8fP8LDwwP5+fmIjIxEbm4u9+392rVrg8Ph8DyJAODWZWVlBTMzM/ndcCVQkCBEhrS1tREZGQlra2usWrUKQUFBym7Sd0leU2AXLVrE07XTqlUrAMDFixfRuXNnAEBKSorQF+EEuXnzJne99MaNG/McS01NlbirS1Gkmt0UGhoKFouF6dOnc/exWCyB26pVq4SWEx4ejg4dOsDAwAAGBgbo1q0brl+/znNOUFAQX5nfvumakZGBXr16wdTUFH5+figt/f8IWefOncFisfgSsoWFhVX5fyRSvVhaWmLGjBlYuXIlXrx4oezmVC0ymt0kryywe/bsAcMwfFt5gCi7hbKZSMI8f/6c53di586dBZbJMIzQ3z0WFhZgGAYODg4yuS9pSBwkbty4ge3bt6Nly5Y8+9PT03m2Xbt2gcViYdCgQULLunTpEry8vHDx4kUkJCSgYcOG8PDwwKtXr3jOa9GiBU/Zd+7c4Tm+YMECtGnTBqdPn8bz589x4MABnuMaGhpYsGABioqKJL1tQipl3rx50NPTw5w5c5TdlKqlfHaTNBslgVUoiYJEXl4evL29ER4ezvfGqYmJCc92/PhxdOnSBY0aNRJa3r59++Dn5wcHBwdYW1sjPDwcpaWlOH/+PM95KioqPGXXrl2b5/iHDx/QokUL2NnZwdLSku+R0MvLCzk5OQgPD5fktgmpNF1dXSxbtgz79+9HQkKCsptTdUj7Ih2lClc4iYLElClT4OnpyTeq/603b97g1KlTQnOUCJOfn4+ioiIYGvKukfz48WOYmprC0tISw4cPx7Nnz3iOz5kzB9OmTYO6ujpu376NUaNG8RzX09PDvHnzEBwcjE+fPonVJkLENXr0aDg4OGDhwoXKbsp3x9DQEPfv38f9+/cpA6yciR0koqKicOvWrUq93RgREQFdXV0MHDhQrDrmzJmD+vXr8wQhZ2dn7N27F2fPnkV4eDgyMjLg5uaGrKws7jlOTk549eoVXrx4gatXr3JnCHzNz88PGhoaWLt2rVhtIkRcHA4Hs2bNwvnz53H37l1lN6dqYCCTBYdoZTrFEWt204sXLxAQEICYmBi+eb6C7Nq1C97e3pU6t9zKlStx4MABXLp0iee6Xr16cf/bzs4Orq6usLKyQkREBGbMmME9Vt4lJYy6ujqCg4Ph7+8vdqbHoqIiqcczyq//uhx1IdNTy7EqiOUcIZ206v9dp8YIv16N4YgsW1XEcfY39ZafW/7/KqWiv71KS0RPga3osxb0WcqTJPX98MMPaNSoEbZs2SJW5lhl3Zv8yaC7iLqbFIrFMJX/xI8dO4YBAwaAw/n/L46SkhKwWCyw2WwUFBRwj12+fBkdO3ZEcnJypdMUrF69GiEhITh37lylXpHv3r07GjdujF9//bXCczt37gwHBweEhYWhtLQUDg4O6Nq1KywsLPjejPxWbm4u9PX1sX///iqVeIsQWcnPz8eIESO4iefkoWPHjvjw3BCmtWylKuftx6f4ovUPrUynIGI9Sbi7u/PNKBo7diysra0xe/ZsnuCxc+dOODo6VjpArFq1CiEhITh79mylAkRBQQEePHiADh06iHMLAAA2m43Q0FAMHDhQrKcJDw8PqX+AioqKEBsbi+7du3Nfy7f9TfRfmGxN0S/TqaoLPq4ONhZwWmCj2k0UClkOTFO1UGTZJSKeQnRUebNuqjIcjMzpgEj9yyhileBH0ysiy96b7ibyuBpb+It+2qoFUClVQc/MnjhT5wyK2byfgQZH9F/Gq01uCj3W8vQYgfvVWSwsqW2FhW+fokDE31Z3x/Amenv37h2aN2+OuXPnIjAwUGS7ygn6PpGnr7tt5aq8u0mqMsR745pIR6wgoaurC1tb3r8CtLW1YWRkxLM/NzcXv//+O9asWSOwnFGjRqF+/frccY2VK1di4cKF2L9/PywsLJCRkQGg7K3D8nGFmTNnom/fvmjYsCEyMzMREhKC3NxcjB49Wpxb4PL09ISzszO2bduGunXrVuoaVVVVmf3Afl3WF0Z0xjNOBRnRSis4XsgqRSFL8C9cjpD95UpEzDcsEnJtEasERawSsDiiUzcXiQgCAMAScfzroFDMLuYLEiXsCgKrivC2FQj992D/d5wRcQ74vkfq1auHgQMHYuPGjQgMDBTre0iW33MV1aMQMkrwRxRHLqnCo6KiwDAMvLy8BB5PS0tDeno69+stW7agsLAQgwcPRr169bjb6tWruee8fPkSXl5eaNasGQYOHAg1NTUkJibC3Nxc4nauWLECX758kfh6QiorICAAL1++xNGjR5XdFKWSei0JGeR+IuKROi3HpUuX+PZNmDABEyZMqPQ1osYDyn37prS4BLXT1dUVYgzJECKxli1bws3NDZGRkRg6dKiym1PtySstB+FHiw4RoiD9+/fHuXPnkJ+fr+ymKI9M0nLQFFhFoiBBiIL069cPnz9/5sskUKMwAEoZ6TZ6+lcoChKEKEizZs3QtGlTnDhxQtlNUR4ZJfgjikOpwqsAtnoFs3wqWBVRhSN4ukj5P66O+hehM5FU2KKnmqgImToLAIWlvC/asf6bLlvMsFEMBltedhFZdpC56F+WO992FHrsca4x90XAtDwDvtlb55ufFFn2sGfuQo+1sX0mcL9qKQfIaoy7Y6ZJPBuob9++2LdvH0pLS8Fm099okqIxCcWh71JCFKhfv37IyMhAUlKSspuiJDQmUd1QkCBEgdzc3GBgYFBzu5xkkruJupsUibqbCFEgFRUV9O7dG9HR0TxrGhPxUHeT4tCTBCEK5u7ujuTkZGRni14D/LvESDmz6b+NupsUh4IEIQrWtWtXMAyDuLg4ZTdF8RgGYEql3Ki7SZEoSBCiYObm5rC0tMTFixeV3RQlkMX0VwoSikRjElUAUyw6Vqtpi84vVUvrs+DrGA7wGSgsUUGhkHm0j58biyz7B/tkocf61OI9xpSo43NOR0wzOw8WpwBFEL1Wxbm8FiKP/1Q3VuixJmY6KCpWx5mb7XCi2WmRCfsEefOZf0GqcpdaHBe4v6hYHWeyuotVjzBdunSpoUFCNmhMQnHoSYIQJejatSvu3r2LzMxMZTdFsWQwHkFjEopFQYIQJejSpexFQ0GJJ7971N1UrVCQIEQJTE1N0bRp05rX5SSjBH9EcWhMghAl6dq1Ky5cuKDsZlRLNCahOPQkQYiSdOnSBY8ePcLr16+V3RTFkVGCP3mNSSxduhRubm7Q0tJCrVq1KnUNi8USuK1atYp7TkZGBnx8fGBiYgJtbW20bt0ahw8f5inn/fv38PHxgb6+PvT19eHj44MPHz7I7N4kRUGCECXp3LkzANSsLieGAUpLpdvk+J5EYWEhhgwZgsmTJ1f6mvT0dJ5t165dYLFYGDRoEPccHx8fpKSk4MSJE7hz5w4GDhyIYcOG4fbt29xzRowYgeTkZJw5cwZnzpxBcnIyfHx8ZHp/kqDuJkKUpE6dOrC1tcWFCxfg7e2t7OZUK/Lqbvrll18AAHv27Kn0NSYmJjxfHz9+HF26dEGjRo24+xISEvDrr7+ibdu2AIAFCxZg3bp1uHXrFlq1aoUHDx7gzJkzSExMhLOzMwAgPDwcrq6uSElJQbNmzaS8M8lRkKgCno+ZLZdyi4qKEB0djdOdlihkofuioiJE34tGF/Mblaqvt5T1sYuKAESDXfcW2GLeX7yJqKOrBO4tr0+WunTpgj///FOmZVZpslgP4r/uJmtrawCAr68vfH19oa6uDnV1dRk0UnJv3rzBqVOnEBERwbO/ffv2OHjwIDw9PVGrVi0cOnQIBQUF3KfJhIQE6OvrcwMEALi4uEBfXx9Xr15VapCg7iZClKhr165ITU3Fv//+q+ymKI4MxiRKSkqQkpKClJQUzJw5E/r6+ggNDVX2nSEiIgK6uroYOHAgz/6DBw+iuLgYRkZGUFdXx8SJE3H06FFYWVkBKBuzqFOnDl95derUQUZGhkLaLgwFCUKUqFOnTmCxWDVnXEIWL9MxDDgcDpo1a4ZmzZph9erVyMnJwdy5cwVWGRQUJHRwuXyT1foeu3btgre3NzQ0NHj2L1iwAO/fv8e5c+eQlJSEGTNmYMiQIbhz5w73HJaArAgMwwjcr0jU3USIEhkYGKBFixa4du0axowZo+zmVBvijEn4+/tj+PDhIs+xsLCQuk2XL19GSkoKDh48yLP/6dOn2LRpE+7evYsWLcpS0djb2+Py5cvYvHkztm7dChMTE7x584avzLdv36Ju3bpSt00aFCQIUbJGjRrVmO4mBgwYRvSSuRWW8dUUWACYMmUKpkyZIvR8Y2NjGBuLzlEmCzt37oSjoyPs7e159ufn5wMA33K1HA4HpaVln4WrqytycnJw/fp17uD2tWvXkJOTAzc3N7m3XRTqbiJEySwsLGpMkJDJehJynAKblpaG5ORkpKWloaSkBMnJyUhOTkZeXh73HGtraxw9epTnutzcXPz+++8YP348X5nW1tZo3LgxJk6ciOvXr+Pp06dYs2YNYmNj0b9/fwCAjY0NevbsCV9fXyQmJiIxMRG+vr7o06ePUgetAXqSIETpzM3N8fz58yrR/yx3DGQwu0kmLRFo0aJFPDOTWrVqBaDsXZbymUgpKSnIycnhuS4qKgoMw8DLy4uvTFVVVURHR2POnDno27cv8vLy0LhxY0RERKB37//P8du3bx+mTZsGDw8PAGXroW/atEnWtyg2ChKEKJm5uTny8/ORlZWlkG6R74G83pPYs2dPhe9IMAKC3IQJEzBhwgSh1zRp0gRHjhwRWa6hoSEiIyMr1U5Fou4mQpTM3NwcAPD8+XPlNkQRGCnfti4tW52OUoUrDgUJQpSsfGZNjRiXKO9ukjpdOFEU6m4iRMmMjIygpaVVM4KEjFAWWMWhJwlClIzFYqF+/fp49eqVspsif0wpmFLpNlqZTrHoSYKQKsDU1BTp6enKbob8yWJ2E606pFAUJAipAurVq1cz1pUof09CGtK9i0fEREGCkCrA1NQUt27dEnnO58+fcfbsWfz111/Q1dWFkZERd6tTpw4aNWoEXV1dBbVYuWhMQnEoSBBSBRgZGSE7O5tvf3FxMU6cOIHDhw/jzz//RF5eHho2bIjCwkJkZWWhqKiI5/w6deqgcePGaNy4MVq1aoX27dvDwcEBKipV5EedYcqmwUqlVKy0HEQ6VeQ7hxAi6G3ryZMnIyIiAg4ODpgzZw4GDx7MTdPAMAzy8vKQlZWFjIwMPH36FE+ePMGTJ0+QkpKCQ4cO4cuXL9DW1oabmxu6dOmCrl27wtHRUWlBg2EYMFJ2N0l7PREPBQlCqgCGYfgSwAHAoUOHsH//foHpHlgsFnR1daGrqwsLCwu4uLjwHC8oKMDNmzdx5coVxMXFYdmyZZg3bx50dXUREhKCadOmye1+5I26mxSHpsASUgWUlpbyPEkUFxcDAH788UeBAaIy1NXV4ebmhlmzZuHUqVPIzs5GQkIChg4diunTp+PMmTMyabtYyrubpNpoCqwi0ZMEIVVAaWkpz5NEeXfQ19lHpaWqqgoXFxe0bdsW6enpGDFiBJKSknjWYpY7WXQ30RvXCkVPEoRUAcK6m37//XfcuHFDpnWx2WxERkbC0NAQAwYM4K53oBAyepIgikNPEoRUAd92N5WztbXF5MmTce3aNXA4HJnVZ2BggBUrVmDw4MG4f/8+LC0tZVa2ItCYhOJQkBBDbm6u1GUUFRUhPz8fubm5UFVVlUGrqkZdVJ90Pn/+DOD/32PldS1ZsgQ9evTAb7/9hoEDB8q0zkOHDqFhw4awsrLChw8fZFq2ME0HmsHOroVUZTx5oo7z55/QFFgFYTHUwVehL1++wNLSEhkZGcpuCiFyY2JigtTUVGhoaMil/OPHj+PkyZMyKau4uBjXr18HQEFC3ihIVNKXL19QWFio7GYQIjdqampyCxCk+qIgQQghRCia3UQIIUQoChKEEEKEoiBBCCFEKAoShBBChKIgQQghRCgKEoQQQoSq8UEiPj4effv2hampKVgsFo4dO8Y9VlRUhNmzZ8POzg7a2towNTXFqFGjhC4zyTAMevXqxVeOIB8/fsT06dNhbm4OTU1NuLm58eXoycjIQK9evWBqago/Pz+UlpYt1jJnzhzY2NjwnPvgwQOwWCz4+Pjw7P/tt9+gqqoq00Rx5ZT12X0tNDQULBYL06dP59k/ZswYsFgsnu3bVNopKSlo164dzMzMEBwczN0/fPhw9OrVi+fc06dPg8ViYeHChTz7lyxZAlNT00q3VxYU9bknJCTAwcEB5ubmCA8P5+53cXHB5MmTec799ddfwWKxsHPnTp7948aNg5ubm3Q3TJSqxgeJT58+wd7eHps2beI7lp+fj1u3bmHhwoW4desW/vjjDzx69Aj9+vUTWFZYWJjA/DuCjB8/HrGxsfjtt99w584deHh4oFu3bnj16hX3nAULFqBNmzY4ffo0nj9/jgMHDgAAunTpgocPH/K8AX7p0iU0aNAAFy9e5Knn0qVLaNu2LXR0dCrVLnEo67Mrd+PGDWzfvh0tW7YUeLxnz55IT0/nbtHR0TzHp0yZAh8fH+6bwH/99ReAss/3ypUr3HTdgOjPt0uXLmK1W1qK+tx//PFHLFy4EAcOHMCKFSuQlpYGoOzzEfQ5VJXPh8gYQ7gAMEePHhV5zvXr1xkAzL///suzPzk5mTEzM2PS09MrLCc/P5/hcDjMn3/+ybPf3t6emT9/PvfrQYMGMVFRUUxJSQnj5+fHbN68mWEYhsnLy2NUVVWZAwcOcM8dOnQos3z5ckZPT495/Pgxd3+jRo14ypQXRX125T5+/Mg0adKEiY2NZTp16sQEBATwHB89ejTzww8/iCzD0dGRSUxMZAoLC5l+/foxp06dYhiGYVJSUhgATEJCAvfctm3bMps3b2bU1NSYT58+MQzDMAUFBYympiYTHh5eYXvlRZ6fe8OGDZlnz54xeXl5jJOTE3Pv3j2GYRjm7NmzDADm9evX3HPr1q3LbNmyhalfvz53X1paGgOAiY2Nle4miVLV+CcJceXk5IDFYqFWrVrcffn5+fDy8sKmTZtgYmJSYRnFxcUoKSnhS4GgqamJK1eucL+eM2cOpk2bBnV1ddy+fRujRo0CAGhra6NNmzY8f7XFxcXB3d0d7dq14+5/8eIFnj17VmX+kpPFZ1duypQp8PT0RLdu3YSec+nSJdSpUwdNmzaFr68vMjMzeY4HBweje/fu0NLSApvNRo8ePQAATZs2hampKfdz/PjxI27duoUhQ4bAysqK+8SRmJiIz58/V5nPVxhJP/dFixbBxsYG+vr6cHFx4SbUa9euHVRVVXHp0iUAwP379/H582f8+OOPyM3NxePHjwEAFy9ehJqaGnU3VXMUJMTw5csXzJkzByNGjICenh53f2BgINzc3PDDDz9UqhxdXV24urpiyZIleP36NUpKShAZGYlr164hPT2de56TkxNevXqFFy9e4OrVqzxdRp07d+b7IW3VqhU6derE3X/x4kXu6mTKJqvPDgCioqJw69YthIaGCj2nV69e2LdvHy5cuIA1a9bgxo0b6Nq1KwoKCrjn9O7dG2/fvsXr169x9OhRnlTcX3++ly9fRtOmTVG7dm2ez7e8i8XKyqrSbVc0aT73cePGISsrC2/fvsXGjRu5+8v/SPn6c2jfvj3U1dXRrl07nv3Ozs7Q0tKSy70RxaAgUUlFRUUYPnw4SktLsWXLFu7+EydO4MKFCwgLCxOrvN9++w0Mw6B+/fpQV1fHhg0bMGLECL41A1RUVAT+pdelSxc8evQIr1+/5v6Qcjgcvl9iLi4u0NTUFPt+ZUmWn92LFy8QEBCAyMhIkcnohg0bBk9PT9ja2qJv3744ffo0Hj16hFOnTvGcp66ujtq1a/Nd36VLF/z1118oKirCpUuX0LlzZwDg+3y7du1a6bYrmiw+d21tbRgYGPDt79KlC8/nUB0/H1JJyu7vqkogpH+3sLCQ6d+/P9OyZUvm3bt3PMcCAgIYFovFcDgc7gaAYbPZTKdOnSqsMy8vj9u3O3ToUKZ3796Vamt+fj6jpqbG7Nu3jxk8eDCzYsUKhmEYpqioiNHW1mZSUlIYCwsLJigoqFLlSUtRn93Ro0cZAHzXlJdTXFwstI2NGzdmli9fXqn7efLkCQOA+euvvxgnJyfm4MGDDMMwzOvXrxlVVVUmKyuL0dDQYPbs2VOp8uRFGd+zDMMw586dYwAwL1++ZOrUqcNcu3aNYRiGuXr1KmNqasr8+++/DADm0qVL0t4iUTIKEl8R9ANX/sPWokULJjMzk++a9PR05s6dOzwbAGb9+vXMs2fPKl13dnY2o6+vz2zbtq3S13To0IHx9fXl+SFlGIbp3r07M3/+fAYAExcXV+nypKGozy43N5fvGicnJ2bkyJHMnTt3hLbv3bt3jLq6OhMREVHpe2rQoAEze/ZsRkVFhcnIyODub9KkCTNv3jyBg8GKpqzv2fz8fEZdXZ2ZN28eo6uryw3OhYWFjLa2NjNv3jxGQ0OD+fLli9T3SJSrxgeJjx8/Mrdv32Zu377NAGDWrl3L3L59m/n333+ZoqIipl+/foyZmRmTnJzMpKenc7eCggKhZQr6we3atSuzceNG7tdnzpxhTp8+zTx79oyJiYlh7O3tmbZt2zKFhYWVbvuiRYsYXV1dRldXlykqKuLuDwkJYXR1dRlNTU25/pAq67P71rezmz5+/Mj89NNPzNWrV5nU1FTm4sWLjKurK1O/fn0mNze30vc3atQoRldXl7G2tubZP378eEZXV5dp1KhRpcuSJUV97hXp2LEjo6ury/Ts2ZNnf7du3RhdXV2ma9euktweqWJqfJC4ePEiA4BvGz16NJOamirwGADm4sWLQssU9ANnbm7OLF68mPv1wYMHmUaNGjFqamqMiYkJM2XKFObDhw8Stf3bH9LLly8zABh3d3exyhOXsj67b30bJPLz8xkPDw+mdu3ajKqqKtOwYUNm9OjRTFpamlj3t3v3bgYAM2nSJJ79v/32GwOAGTdunFjlyYqiPveKLF68mAHA14W3ZMkSBgCzZMkSCe6OVDW06BAhhBChaHYTIYQQoShIEEIIEYqCBCGEEKEoSBBCCBGKggQhhBChKEgQQggRioIEIYQQoShIEEIIEYqCBCGEEKEoSBBCCBGKggQhhBCh/gevYBsfoG9AywAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot chlorophyll a on a log 10 scale to emphasize variation. Note how the scale of the color bar is now -2 to 1.5\n",
    "import numpy as np\n",
    "log_chla = np.log10(chla)\n",
    "L3_utils.plot_pigments(log_chla, -2, 1.5, 'log10(chla) (mg/m^3)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "eaa6f1fb-f754-4987-adf2-dce2a92e9376",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot chlorophyll b on a log 10 scale\n",
    "chlb = avg_pigments['chlb']\n",
    "log_chlb = np.log10(chlb)\n",
    "L3_utils.plot_pigments(log_chlb, -2, 1.5, 'log10(chlb) (mg/m^3)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "7077a472-149b-441a-9bc4-41008504e757",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot chlorophyll c on a log 10 scale\n",
    "chlc = avg_pigments['chlc']\n",
    "log_chlc = np.log10(chlc)\n",
    "L3_utils.plot_pigments(log_chlc, -2, 1.5, 'log10(chlc) (mg/m^3)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "2d782b55-5265-4aea-9055-956e95fae77d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot PPC on a log 10 scale\n",
    "ppc = avg_pigments['ppc']\n",
    "log_ppc = np.log10(ppc)\n",
    "L3_utils.plot_pigments(log_ppc, -2, 1.5, 'log10(ppc) (mg/m^3)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "805d0ddb-c998-4e9c-86a4-0b53ed23c902",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Va1TRi7JfCIkBOaMk1XVAGxkZ4e7uTmRkJD169FDuj4yMpFu3bnnSW1pa5mkZWb16NT///DNff/01zs7O+V5HkiRiYmJwc3NT7ktLS1PbgpLbb1ncVhZdKXHFcPToUZWf7ezs2Lx5s0bnANSrVw9JKjhu4sszljWV3zV9fHzUXlMQBO3SV0iMqVOnMmjQIDw8PPDx8WHdunXEx8crv7CGhIRw584dtm3bhlwuz9MyUrVqVUxMTFT2f/jhh3h7e1O3bl1SUlJYsWIFMTExKhPuunTpwkcffUStWrVo1KgR0dHRLFu2jOHDhwM5lVBRWllKm4iVJAhCuaNpdNW+ffty//59QkNDSUhIwNXVlYMHDypbHBISEgqd0/CyR48eMXr0aBITE7GysqJZs2YcP35cZUTlypUrmTNnDkFBQSQlJWFvb8+YMWP43//+p0xTlFaW0iYqBkEQSo1WOp8lzZqScgUFBREUFJTvsS1btqg9d+7cuXlGPC1fvpzly5erPc/CwoKwsDCV4akvK0orS2kTFYMgCKUmp4+hZE1JkoiuqnNiPQYNtGzZkjlz5nDmzBm9dgwJQnmV08dQ0rAYomLQNfHGoIEGDRrw2WefMX/+fKpWrUrnzp3p0qULfn5++YbfEARBN8QKbrol3hg0sH79epKSkjh+/DhDhgwhKiqKnj17YmNjw5tvvsmqVau4efOmvospCGVWNnKypJJt2ZJchN3WMVExaMjAwIBWrVqxZMkSYmNjuXbtGkuWLCErK4upU6fi7OyMm5sbISEhnDp1iqysLH0XWRDKjOx/5zGUZBN9DLonKoYSqlOnDsHBwURGRnLv3j12795N8+bN2bBhAy1atMDOzo4hQ4awe/fuPOtDCEJFI0kyskq4lTQIn1A40cegRZaWlvTq1YtevXqRlZXF//3f//Htt9/y3XffsW3bNgwMDOjYsSNjx47lxo0bauOwCIJQMNHHoFvijUFHFAoFPj4+LFiwgN9++40bN24QFhamjNTYtGlTGjRowPvvv8/x48d5/vy5nkssCLqnjVFJL4bEEH0MuiEqhlLi5OTE+PHj+eabbwD48ssv8fX1Zdu2bbRp04aqVasyYMAAdu7cycOHD/VcWkHQjZx1m+Ul28THls6JpiQ9efvtt+nRowfZ2dmcO3eO7777jm+//ZYdO3agUCho2bIlXbp04e2331aGFxYEIYdoStItUfXqmVwu54033iA0NJTo6Ghu3brFqlWrqFSpErNnz8bFxYV69eoxdepUfv7551JbaUsQdEE0JZUPomIoYxwcHBg7dizfffcd9+/f58CBA7Rr145du3bRoUMHatasyccff8zjx4/1XVRB0Fg2YlRSeSAqhjLMzMyMLl26sHbtWm7fvs25c+fo0qULs2bNwsnJiY8//liE5hDKFUkL8xhKGmtJKJyoGMoJmUyGu7s769ev588//yQwMJDp06fTtWtXHj16pO/iCUKpsra2JjY2ltjY2CJFVhU0IyqGcqhmzZqsWrWK77//nl9++QUPD488K04JQlmUXcJwGCIkRukQFUM5FhAQwLlz5zA3N8fb27vEq9wJgq5J5IbFKP4mQmLonhiuWs7VqVOHU6dOMXr0aAIDAzl37hyLFi1STqQThFeRGK6qW+KN4RVgbm7O9u3bWb58OWFhYbi6urJ9+3Yxm1ooc7TSlCSGq+qcqBheETKZjMmTJ3PmzBnq1q2rXPgcEHMfhDJDLNRTPoiK4RXj7u7Ot99+y/nz53F1dQWgefPmrF27lvT0dD2XTqjoJGT/hsUo/iaJeQw6JyqGV1Tz5s3Zvn07AB4eHowbN47XX3+dBQsWiMWEhHJPDFfVLVExVACbN2/m999/p0OHDnz00Uc4OzvTokULPvvsM5KSkvRdPKEC0U5IDDFcVddExVBBNGjQgC1btnD37l2+/PJLKleuzOTJk7G3tycgIIDt27eLMBuCzmkluqpoStI5UTFUMJUqVaJ///589913JCQksGrVKp48ecKgQYOoVq0a/fr148CBA2RkZOi7qMIrSEJGVgk3ERJD98Rg9wqsSpUqjB07lrFjxxIfH094eDg7duygW7duVK5cmV69etG5c2caN26Mo6Mjcrn4HiGUDWIeg26Jv3QBgFq1avH+++8TExPDpUuXCAoK4vDhw3Tv3p3atWtjaWmJl5cXI0aMYPny5URGRpKQkIAkSXorc1paGgChoaGMGTOGGTNmsHr1ar777jsuXrwo1tgug7TRlCRJxZvHsHr1apydnTExMcHd3Z0TJ04U6bxffvkFAwMDmjZtmufYnj17aNiwIcbGxjRs2JC9e/eqHHdyckImk+XZXuwwT01NZcKECTg4OGBqakqDBg1Ys2ZNkcqmK+KNQcijUaNGzJ8/n3nz5nHnzh0uXbqk3H799Vd27tzJ06dPAbCxscHV1RVXV1fc3Nyws7Pj0aNH2Nra6qx8qampLFmyhI0bN7J69Wq++uorKlWqxIMHD7h9+7bKxD5LS0v8/f2ZMGECrVu3RiYTzRD6lP1vc1BJ89DUrl27mDx5MqtXr6ZFixasXbuWgIAAYmNjqVWrVoHnJScnM3jwYDp06MDdu3dVjp0+fZq+ffsyb948evTowd69e+nTpw8nT57Ey8sLgLNnz5KVlaU859KlS/j5+dG7d2/lvilTpnDkyBG2b9+Ok5MTERERBAUFYW9vT7du3TS+V20QFYNQIJlMhoODAw4ODrz55pvK/VlZWdy4cUNZWVy8eJEjR46wdetWtm/fjqOjI9bW1soKI3dr2LAhZmZmJSrT4cOHGTlyJElJSYwbNw7I+WMzNDRUli0xMZH4+Hji4+M5c+YMy5cv5+uvv2br1q0MHjy4RNcXygZNm5KWLVvGiBEjGDlyJABhYWEcOnSINWvWsHDhwgLPGzNmDP3790ehULBv3z6VY2FhYfj5+RESEgJASEgIx44dIywsjJ07dwLk+YK0aNEi6tSpQ5s2bZT7Tp8+zZAhQ2jbti0Ao0ePZu3atZw7d05vFYNoShI0plAoeP311+nevTuzZ89m165d/P777yQmJgKwceNGhgwZgrGxMXv37mXYsGF4enpSqVIl6tatS48ePZgzZ47yvKLMzJYkicWLF+Pn50ft2rW5dOkSixYtyrdsNWrUwNXVlejoaNatW4eZmRnvvvuu3v7IhP/kTHAr6ZrPOU1JLi4uuLi48Mknn5CSklLgBM6MjAzOnz+Pv7+/yn5/f39OnTpVYFk3b97Mn3/+yQcffJDv8dOnT+fJs1OnTgXmmZGRwfbt2xk+fLjKm2vLli05cOAAd+7cQZIkjhw5wtWrV+nUqVOBZdM18cYgaI2RkREAvXr1IjAwULk/NTWVy5cvK98uLl26xMaNG0lISADA0NCQ+vXr4+rqSvPmzWnTpg3NmzdXBgJ8/vw5EyZMYO3atcyaNYvQ0FDkcnmBFcq3335LUFAQDx48IDg4mClTpui0aUsoumxJRpZUsu+j2ZKcrKwsrly5AsC0adOYNm0aH3zwAXPnzs2T/t69e2RlZVGtWjWV/dWqVVN+mXlZXFwcM2bM4MSJEwUGpExMTNQoz3379vHo0SOGDh2qsn/FihWMGjUKBwcHDAwMkMvlbNiwgZYtW+abT2kQFYOgc5UqVcLT0xNPT0+V/ffv3+f3339XaZI6cOAAaWlpVKpUiRYtWtC6dWtOnDhBZGQkGzZsYMSIEQVeJyEhgeDgYHbv3s2bb77JmjVrcHJy0vHdCZqQtDDcVEKGQqGgfv36AIwaNYpRo0ZhbGys9ryX+5ckScq3zykrK4v+/fvz4YcfUq9ePa3kCTlv0gEBAdjb26vsX7FiBVFRURw4cABHR0eOHz9OUFAQ1atXp2PHjmqvryuiYhD0xsbGhtatW9O6dWvlvszMTM6fP8+xY8c4duwYixYtQiaTcfDgwTyv7S+6ceMG7u7uGBoasnPnTvr27Ss6ml9hmvQxVKlSBYVCkeebfFJSUp5v/ACPHz/m3LlzREdHM2HCBACys7ORJAkDAwMiIiJo3749dnZ2Rc7zr7/+4vDhw3zzzTcq+58+fcrMmTPZu3cvnTt3BqBx48bExMSwdOlSUTEIAuQ0K3l7e+Pt7c306dPJysri+fPnar8NSpLEuHHjqFSpEtHR0djY2JRiiQVNaKcp6b/hqgDjx49XGy/JyMgId3d3IiMj6dGjh3J/ZGRkvv1OlpaWeVZEXL16NT///DNff/01zs7OAPj4+BAZGcmUKVOU6SIiIvD19c2T5+bNm6latarywz9XZmYmmZmZeeYIKRQKva7nrvPO54ULFypDQucqzrjdLVu25Dse+NmzZyr59uvXj+rVq9OvXz+ePHmiPDZ06FBkMlmeDst9+/aJb5ZlmEKhKLSJYN++fRw6dIjhw4dTqVKlUiqZUBzaiK5anKaoqVOnsmHDBjZt2sTly5eZMmUK8fHxjB07FsgZUZQ7Yk0ul+cZUVe1alVMTExwdXXF3NwcgODgYCIiIli8eDF//PEHixcv5vDhwyqfdZDztrF582aGDBmSp7/C0tKSNm3a8N5773H06FFu3LjBli1b2LZtm0olVtp0+sZw9uxZ1q1bR+PGjVX2F3fcrqWlpbLDKZeJiYny/8PCwqhUqRIRERHKRWtmzZqlknbx4sWMGTOGypUra+kuBX3LyMjA0tKSDz/8kMWLF+Pj44Ovry/Vq1fH2tpaudWpUwdra2t9F7dCyw2iV9I8NNW3b1/u379PaGgoCQkJuLq6cvDgQRwdHYGc/qn4+HiN8vT19SU8PJzZs2czZ84c6tSpw65du5RzGHIdPnyY+Ph4hg8fnm8+4eHhhISEMGDAAB48eICjoyMfffSRstLSB51VDKmpqQwYMID169czf/58lWPFHbcrk8mws7Mr8PijR4+oV68ebm5uuLi4cO/ePZXjHTt25Nq1ayxcuJAlS5YU/+aEMqVv374EBgYSExPD8ePHOXbsGJs3b+bevXsqMZ8UCgXt2rWjV69edO/ePd+2YKF8KE5IjKCgIIKCgvI9tmXLFrXnzp07N98RT7169aJXr15qz/X391cbIcDOzo7NmzerzaO06awpafz48XTu3DnfzpPijttNTU3F0dERBwcH3n77baKjo1WO5w5pNDQ0ZPPmzQQHB6scVygULFiwgJUrV3L79u2S36RQZigUCtzd3ZkyZQr79u3jzp07PHv2jNTUVOLj44mOjmb16tXKcAT29va0bduWVatW8ffff+u7+BVGiZuR/l2oR4Td1i2dVAzh4eFcuHChwBmFK1asoGHDhjg4OGBkZMSbb77J6tWr1Y7bdXFxYcuWLRw4cICdO3diYmJCixYtiIuLU6ZxcnIiLi6OW7duERsbS40aNfLk06NHD5o2bVrgpBXh1SGTyTA3N6dmzZo0bdqU0aNHExERwd27d1m/fj1mZmZMnToVBwcHWrZsSVhYGLdu3dJ3sV9pOcNV5SXcRJ+grmm9KenWrVvKTpkX2/9fVJxxu7kjVXK1aNGC5s2bs3LlSlasWKHcL5fL1TY3ASxevJj27dvz7rvvanRvuSMISiL3/NJYh7k0r1WermdpacmgQYMYNGgQjx494ocffmD//v3MnTuXmTNn4uHhQffu3enatauyDbok1ysOfT3L8kJEV9UtmaTl8Jj79u2jR48eKBQK5b6srCxkMhlyuZzk5GQqV66sMm4XYOTIkdy+fZsff/yxyNcaNWoUt2/f5ocffig07dChQ3n06JEy3knnzp0xNDRk6NCh9OjRQ20bYEpKClZWVuzYsaPEsX4EoSxKS0ujf//+JCcnY2lpqZNrtG7dGvOATFwCHAtPrMbNXxKImn9VOYCksOGqgua0/sbQoUOHPGOAhw0bhouLi3JcujbG7UqSRExMDG5ubsUq56JFi2jatGmhMxtf5O/vX+I/mszMTCIjI/Hz81MGfnuneSHNWgYKtYcLWtDK0EjOkJDmKtfSpfzurbxe78mTJ0RGRiqHwqalpeHu7s60adNwdnamQYMGWr3ey0r7Wd6/f1/n1wCQJEq8AptYwU33tF4xWFhY4OrqqrLP3NxcGZ4ZUI7bNTU1xdHRkWPHjrFt2zaWLVumPGfw4MHUqFFD2U/x4Ycf4u3tTd26dUlJSWHFihXExMQUu+PJzc2NAQMGsHLlyiKfY2hoqLU/0hfzykzPUp+4kMNSIfMwtFnuongVrvfaa6/Ru3dvevfuTVpaGocOHVK+bXp7e+Ps7KwckeLq6qqzuTCl9SxL698rNxBeSUiij0Hn9BJdNTw8HE9PTwYMGEDDhg1ZtGhRnnG78fHxyiBrkDMUdfTo0TRo0AB/f3/u3LnD8ePHeeONN4pdjnnz5ul1oRmhfDAzM6NHjx5s2LAByPn99fDw4NNPP6Vx48a4uLgwa9YsoqOjxe9TKbG2tiY2NpbY2FjRjKQDpRIS4+jRoyo/F2Xc7svnLF++nOXLlxe7DPmNU3Z0dFSZOS0IRREQEEDXrl3JyMjgp59+4uuvv+bzzz9nwYIF1K5dW/km4eHhIWbVvyQbtLJQjyYhMQTNifUYBKGYjIyMCAgIYOPGjSQmJhIREUHHjh3ZvHkzb7zxBk5OTrz77rucPn1ar3FvyhKthMQQfQw6JyoGQdACQ0ND/Pz8WLt2LX///TdHjhzh7bffZseOHfj6+lKrVi2Cg4M5fvy4ylKPFY2kpTWfBd0S0VUFQcsMDAxo27Ytbdu2ZcWKFZw6dYo9e/bw9ddfs2LFCqpVq0bPnj3p1asXrVu3LnAhGKFgYh6Dbok3hrJAIVe/CeWWQqGgVatWhIWFER8fz+nTpxk4cCAHDx6kQ4cOVK9eXTkju7xNMiuO3IV6SrJJiJAYuiY+dQShlMjlcry9vVm6dCk3btzg7NmzjBgxgp9//plOnTpRrVo1hg8fzsGDB1WC/71KctZjKOGm75uoAETFIAh6IJPJ8PDwYNGiRcTFxREdHU1QUBC//PILnTt3pk6dOgAcPHhQjJzLhxiuqluiYhAEPZPJZDRt2pT58+fzxx9/cPHiRWV46MDAQGxtbQkMDOTLL78kKSlJz6UtmWy00fksF01JOiZ6vQShDJHJZLi6ulK/fn0OHjzI2bNn2bdvH3v27CE8PByA5s2b06lTJzp16oSPjw9GRkZ6LnXRSVoYbipGJemeeGMQhDKsXr16zJo1iwsXLpCQkMC2bdto0KABGzZsoG3bttjY2NC1a1c+++wzrl27pu/iFkqCEnc+ixkhuifeGAShnLCzs1OGC8/OziYmJoZDhw5x6NAhJk+ezPPnz6lduzb+/v506tSJ9u3b6yxSqr6J4aq6Jd4YyoOsbLWbLLugTcTteVXJ5XKaN29OSEgIR48e5cGDBxw4cICAgAAOHz5Mjx49sLGxoXXr1nz00UecO3euTMy+Fiu4lQ+iYhCEV4CFhQVdunRh1apVxMXF8eeff7JixQqsra1ZvHgxnp6eVK1alcDAQLZs2aK35UwlLXQ+ixXcdE80JQnCK6h27dqMGzeOcePGkZmZSVRUlLLZadeuXUiShJubm7ITOzcgXXkhmpJ0S7wxCMIrztDQkFatWjF//nzOnj1LUlISO3bsoHnz5nz55Zf4+fnlWUNFVyTRlFQuiDeGCubBgwfcuHGD27dvc/v2be7cucPt27d58uQJzs7O1K1bV7nVqFEjz0p7QvlXpUoVAgMDCQwMRJIkLl26xLfffsusWbN0fu3cUUklIZqSdE9UDBXIrVu3qF27Ns+fPwdyvkna29vj4OCAmZkZ+/bt4+bNm8ron6amptSpU4c6derg7Oys3Ly8vKhatao+b0XQEplMhpubG/b29qVSMWgjbLaYx6B7omKoQM6fP8/z5885fPgwrq6u2Nra5nkjyMjI4ObNm8TFxSm3Gzdu8MMPP3Dz5k3S09OxsrJi69atdOvWTU93IlR0oo9Bt0Q7QQXy+++/U7lyZdq3b0+1atXybSYyMjKiXr16dO7cmcmTJ/PZZ59x8OBB/vjjD9LS0vjrr79o37493bt3591331WJCJq7rOWIESP4+OOPOXPmTIWIGCoUnTYW6pGgWH0Mq1evxtnZGRMTE9zd3Tlx4kSBaU+ePEmLFi2wsbHB1NQUFxeXPCtIbtmyBZlMlmd7ObbVnTt3GDhwIDY2NpiZmdG0aVPOnz+vPH737l2GDh2Kvb09ZmZmvPnmm8TFxRX9oeqAeGMoAyQj9f8MkqFC7XHZ8/zHp0vGqh/8d+7cwdjYmMePHxdr4pNcLqdWrVrs2bOHTz/9lPfee4+TJ08yZMgQ6tSpwyeffML48eP5448/2LNnD2lpaZiZmdGvXz9mzJhB3bp1Nb6m8GqRJErclFSc83ft2sXkyZNZvXo1LVq0YO3atQQEBBAbG0utWrXypDc3N2fChAk0btwYc3NzTp48yZgxYzA3N2f06NHKdJaWlly5ckXlXBMTE+X/P3z4kBYtWtCuXTt++OEHqlatyp9//slrr70G5HyZ6t69O4aGhuzfvx9LS0uWLVtGx44diY2NxdzcXON71QbxxlCBTJw4kadPn9KvXz9lP0NxyGQyJk+ezIkTJ5DL5QQHB/Pmm28qA7z98ssvPHr0iKioKEJCQjh48CAuLi7069eP3377TVu3I5RD2prgpqlly5YxYsQIRo4cSYMGDQgLC6NmzZqsWbMm3/TNmjUjMDCQRo0a4eTkxMCBA+nUqVOetwyZTIadnZ3K9qLFixdTs2ZNleVeO3TooIyeGxcXR1RUFGvWrMHT05P69euzevVqUlNT2blzp8b3qS2iYqhAGjRowO7du4mIiGDixIklqhwAvL29OX36NMnJyURHR3Pq1CnlMUNDQ7y8vJg9ezY3btxg1apVREVF0aRJE7p06UJUVFRJb0eowCpXrkxUVBRRUVEMGjSIlJQU0tPT802bkZHB+fPn8ff3V9nv7++v8jurTu7vd5s2bVT2p6am4ujoiIODA2+//TbR0dEqxw8cOICHhwe9e/ematWqNGvWjPXr1yuP55b5xbcMhUKBkZERJ0+eLFLZdEFUDBWMn58fa9asYd26dfj4+HDp0qUS55nbbmpoaJjvcRMTE8aNG0dcXBxbt27l2rVr+Pj40L59e3766Sdl34Tw6tPGCm7ZwL1797CyslLZFi5cmO817927R1ZWFtWqVVPZX61aNRITE9WW18HBAWNjYzw8PBg/fjwjR45UHnNxcWHLli0cOHCAnTt3YmJiQosWLVT6B65fv86aNWuoW7cuhw4dYuzYsUyaNIlt27Yp83B0dCQkJISHDx+SkZHBokWLSExMJCEhoZhPueRExVABjRo1ilOnTvHkyROaN2/O/PnzS/z2UBSGhoYMHjyY33//na+//ppHjx7RsWNHPDw82LFjh+iorgAkSt6cJEkyFAoF9evXp379+ixdupTk5GRCQkLUXlsmU22CkiQpz76XnThxgnPnzvH5558TFham0rzj7e3NwIEDadKkCa1ateKrr76iXr16rFy5UpkmOzub5s2bs2DBApo1a8aYMWMYNWqUsgnL0NCQPXv2cPXqVaytrTEzM+Po0aMEBASgUKjvW9QlUTFUUF5eXly4cIFp06bxwQcf0KpVK/78889SubZcLuedd97h/Pnz/Pjjj9jY2DBgwACcnZ1ZsmQJjx49KpVyCOWXtbU1f/zxB3/88QfvvvsulpaWGBsb55u2SpUqKBSKPG8HSUlJed4iXubs7IybmxujRo1iypQpzJ07t8C0crkcT09PlTeG6tWr5wk30qBBA+Lj45U/u7u7ExMTw6NHj0hISODHH3/k/v37ODs7qy2bLomKoQIzMTFhwYIFnDhxgqSkJJo0aUJgYCCrV68mOjpa528RMpmMTp06ERERwW+//Ya/vz9z5szBwcGB4OBgrl+/rtPrC6VPGyExstEsJIaRkRHu7u5ERkaq7I+MjMTX11eDsksF9mPkHo+JiaF69erKfS1atMgzaunq1as4OjrmOd/KygpbW1vi4uI4d+6cXucJiYpBwNfXl5iYGKZMmcLNmzcJDg6mefPmvPHGG6VWBjc3NzZt2sRff/3FlClT+PLLL6lbty7vvPMOp06dEv0Qr4hsbcxjKMaopKlTp7JhwwY2bdrE5cuXmTJlCvHx8YwdOxaAkJAQBg8erEz/2Wef8e233yoneW7evJmlS5cycOBAZZoPP/yQQ4cOcf36dWJiYhgxYgQxMTHKPAGmTJlCVFQUCxYs4Nq1a+zYsYN169aprFO9e/dujh49yvXr19m/fz9+fn507949T2d5aRLzGMqArEr5vwLnMvjnsdrjkpn684vCwsKCefPmMW/ePJ4+fcrYsWP1MirCzs6OefPmERISwhdffMHy5ctp0aIFXl5eTJ06lZ49e2JgIH5tyyvtzGPQ/Jy+ffty//59QkNDSUhIwNXVlYMHDyq/uSckJKg072RnZxMSEsKNGzcwMDCgTp06LFq0iDFjxijTPHr0iNGjR5OYmIiVlRXNmjXj+PHjKl+oPD092bt3LyEhIYSGhuLs7ExYWBgDBgxQpklISGDq1KncvXuX6tWrM3jwYObMmVOMJ6M94i9MyMPU1JSaNWty/fp1OnfuzNq1a3FwcCjVMpiZmSk76g4ePMiyZcvo27cvjo6OBAcHM2LECExNTUu1TELZUZyQGEFBQQQFBeV7bMuWLSo/T5w4kYkTJ6rNb/ny5XlmQ+fn7bff5u233y7w+KRJk5g0aVKh+ZQm0ZQk5Cs0NJRVq1Zx8OBBjh8/rrdyyOVy3n77bX7++WcuXLhAq1ateP/993FwcGDKlCl6K5dQPNK/TUEl2RBht3VOVAxCvuRyOdnZ2SgUCjp16qTv4gA5s1G/+OILbt68yeTJk/nxxx8BaNWqFZ9//jkpKSl6LqFQGO3MYxDRVXVNVAxCvo4dO8b06dPp3bs3NjY2+i6Oiho1ahAaGsrFixeVP48fP57q1aszfPhwTp8+LTqryyitzGMQFYPOiT4GIY9Tp07RuXNnfH192bRpk76LU6DcTujw8HCSkpLYvHkzGzZsYPPmzbi6ujJq1CgGDhyItbW1nksqaJsIu61b4o1BUHHlyhUCAgJo3rw5+/fvLzcdvDVq1GD27Nn8+eef/Pjjj9SvX593330Xe3t7+vTpw5o1a7h06RLZ2flHohVKhzb6GCSpeGG3haITbwxlwGNnM7XHTSyN1B43vXYv3/2y55pPqV+xYgWVKlXi+++/11vI35LI7RPp1KkTd+/eZcuWLezdu5dJkybx/PlzrK2tadGiBa1ataJVq1a4u7sXGONJ0L7cCW4lzUPQLVExCCr27NnDoEGDsLCw0HdRSqxatWpMnz6d6dOn8+TJE86cOcOJEyc4fvw4c+fOJS0tDVNTU3x8fGjVqhU9evSgSZMm+i62UASiKUm3RFOSoCIjIwNbW1t9F0PrzM3Nad++PR988AE//fSTcr2I0NBQKlWqxMqVK2natCnt2rVj586dPH36VN9FfiVJaKE5ScOQGILmSlQxLFy4ULloS67U1FQmTJiAg4MDpqamNGjQoMDFMHKtX7+eVq1aUblyZSpXrkzHjh35v//7P5U0c+fOzbOE3suLYiQmJhIQEIC9vT1BQUEq7clt27ZFJpMRHh6uck5YWBhOTk7FewCvIBMTkwrxoZi7XsS0adPYv38/d+/e5auvviIrK4v+/ftjZ2fHmDFjxAgnLdNGrCTxz6F7xa4Yzp49y7p162jcuLHK/ilTpvDjjz+yfft2ZUySiRMnsn///gLzOnr0KIGBgRw5coTTp09Tq1Yt/P39uXPnjkq6Ro0akZCQoNxyhyvmmj17Np6ensqF619eAcnExITZs2eL8M5qmJqaVoiK4WUGBgb07t2b48ePExcXR3BwMD/++CO+vr64uLiwcOFC/v7770LzEZWIepKknU3QrWJVDKmpqQwYMID169dTuXJllWOnT59myJAhtG3bFicnJ0aPHk2TJk04d+5cgfl9+eWXBAUF0bRpU1xcXFi/fj3Z2dn89NNPKukMDAxUltB7ucnj0aNHNGrUCDc3N5ydnUlOTlY5HhgYSHJyssoKSsJ/0tLSePz4cYX/cHv99dcJDQ3lxo0b/PTTT3h5eTFv3jxl+OQPPviAr776iuvXr/P06VN+/vln5syZQ6tWrTAxMcHJyYnu3bszd+5c9u/fz/379/V8R68ea2trYmNjiY2NVQlIJ2hHsSqG8ePH07lzZzp27JjnWMuWLTlw4AB37txBkiSOHDnC1atXNZo9m5aWRmZmZp7x53Fxcdjb2+Ps7Ey/fv3yhGWeMWMGkyZNwtjYmOjoaJVoiZCzcPfMmTMJDQ3lyZMnGtxxxbBw4UKSk5NVVqmqyORyOe3bt2fbtm0kJiayYsUKAL7++mv69u1LnTp1MDMzo0OHDqxZs4aqVauyYMEC+vTpQ1paGp999hndu3fH3t6e3r1788MPP5CVlaXnu9Ivbc18Fn0MuqXxqKTw8HAuXLjA2bNn8z2+YsUKRo0ahYODAwYGBsjlcjZs2EDLli2LfI0ZM2ZQo0YNlYrHy8uLbdu2Ua9ePe7evcv8+fPx9fXl999/V87M9fDw4M6dO9y7dy9P/0OuoKAgPv30U5YtW6ZxBMPMzMwSN0Plnv9iPkYG6offGRmqr78NjfMflpq7X12Zv/32WzZu3MilS5f4559/mDFjBk5OTsW6z/zuTZdK83qmpqYEBgYSGRmpXFQlJiaGO3fu4OnpSYMGDZDLVf+dJEni77//Zv/+/XzxxRe888472NvbExgYyIABA5QLwudHX89S13I7n0uWiRiuqmsySYN2g1u3buHh4UFERIRyWF/btm1p2rQpYWFhACxdupT169ezdOlSHB0dOX78OCEhIezduzffN4yXLVmyhEWLFnH06NE8/RcvevLkCXXq1OH9999n6tSpheb7Yjm3bdvGhAkTuH79Otu3bycsLIybN28WeG5KSgpWVlbs2LEDMzP1cw4EoTxKS0ujf//+JCcnY2lpqZNrtG7dmnhva6zbupYon5Rzf2K86zcxXFWHNHpjOH/+PElJSbi7uyv3ZWVlcfz4cVatWkVycjIzZ85k7969dO7cGYDGjRsTExPD0qVLC60Yli5dyoIFCzh8+LDaSgFyhh+6ubmpLKNXVAMHDmTp0qXMnz9foxFJ/v7+Jf6jyczMJDIyEj8/P+XEqrbjV6k9J1uh/huScXL+s3mNDGSMf6e2yrVeJEkSbdq0wdzcnIMHDxa6/m1h8rs3XSqv13v27Bnfffcd27dv5+jRo5iZmdGjRw8GDhyIt7c3Mpms1O+ttPpBtDHB7cWmJMhp2hb9DNqlUcXQoUOHPCOBhg0bhouLC9OnTycrK4vMzMw8r9QKhaLQUAQff/wx8+fP59ChQ3h4eBRalvT0dC5fvkyrVq00uQUgp+144cKF9OzZk3HjxhX5PENDQ639kb6YV8Zz9S9thS1MIivkfHXlnjNnDp07d+bIkSNai6Kqzef0Kl7P0NCQwMBAAgMDiY+PZ+vWrWzevJn169dTt25dhg4dSt++fbVyLU3KVBq0MqqoYo+NKBUadT5bWFjg6uqqspmbm2NjY4OrqyuWlpa0adOG9957j6NHj3Ljxg22bNnCtm3b6NGjhzKfwYMHExISovx5yZIlzJ49m02bNuHk5ERiYiKJiYmkpqYq00ybNo1jx45x48YNzpw5Q69evUhJSWHIkCHFuvHOnTvj5eXF2rVri3X+qyIgIABfX19mz55d4Ucj6UOtWrWYM2cO165d48iRI3h7ezN//nzc3NwA+Pzzz/MsYl/eaSNWkqBbWp/5HB4ejqenJwMGDKBhw4YsWrSIjz76SGUd1Pj4eBISEpQ/r169moyMDHr16kX16tWV29KlS5Vpbt++TWBgIPXr16dnz54YGRkRFRWV76LaRbV48WKePXtW7PNfBTKZjPnz53Pu3DkxjFeP5HI5bdu2Zdu2bSQlJbFhwwYgZ25OjRo16NChAxs2bODBgwd6LmnZIIar6laJYyUdPXpU5Wc7Ozs2b96s0TnqOn5zvTxjWVMvXxPAx8dHfEsG2rVrx5gxY5g0aRIBAQHUrFlT30Wq0CpVqkTv3r05ePAgcXFxfPvtt+zcuZMxY8YQFBREp06dGDJkCO+8806J+4VKm3IVtpLkIfoYdE7EShIACA4OJj09nWvXrum7KMILKleuzIgRIzh8+DB37tzhk08+4f79+/Tu3bvQL2BlkXZCYpSvyrA8EhWDAMC2bduoVKmSiC5ahtnZ2TFx4kROnTrFyJEjmTBhApcuXdJ3sTSSM49BhMQo60TY7TIguY76b0DPzdT/JRg/zL9+N5YX7ZvV/fv3WbVqFRMmTBCrnZUTK1as4MyZM8omJ2dnZ30XqVSJsNu6Jd4YBJYvX052dnaRJgoKZYOpqSlfffUVDx8+pG7dugwYMIDffvtN38UqVM43frGCW1knKoYKLioqihUrVhAUFPRKrsPwKnNxceH69euEhYXxyy+/0KRJE9566y2OHz9ehgdVlHxpTxB9DLomKoYKbPPmzbRp0wY3Nzdmzpyp7+IIxWBmZsaECROIi4tj+/bt3L59mzZt2uDr68v+/ftf2TWuxXBV3RIVQwWUmZlJcHAww4cPZ/Dgwfz88895wqcL5YuhoSEDBgzg119/5fvvv8fQ0JDu3bvj6urKli1buH79OqmpqXp/k5C0tBWnKWn16tU4OztjYmKCu7s7J06cKDDtyZMnadGiBTY2NpiamuLi4sLy5cvzpNuzZw8NGzbE2NiYhg0bsnfvXpXjRVlg7O7duwwdOhR7e3vMzMx48803ixXqR5tE53MFkpCQwLZt29i4cSM3btzgs88+Y9y4ceVuLLxQMJlMxltvvcVbb73FqVOnWLx4McOGDVMeNzU1pWrVqiqbra0tVlZWpVI+rcxjKMb5u3btYvLkyaxevZoWLVqwdu1aAgICiI2NpVatWnnSm5ubM2HCBBo3boy5uTknT55kzJgxmJubM3r0aCBn7Zm+ffsyb948evTowd69e+nTpw8nT57Ey8tLmVejRo04fPiw8meF4r9oyJIk0b17dwwNDdm/fz+WlpYsW7aMjh07Ehsbi7m5ucb3qg2iYqggIiIieOuttzA0NOSdd97hyy+/xNPTU9/FEnQotznp5s2bXL9+naSkpDzbH3/8wfHjx3n06FHpFCr3K39J89DQsmXLGDFihHKtkbCwMA4dOsSaNWtYuHBhnvTNmjWjWbNmyp+dnJz45ptvOHHihLJiCAsLw8/PTxneJyQkhGPHjhEWFqayemTuAmP5iYuLIyoqikuXLtGoUSMg582matWq7Ny5U29ro4iKoQywvqz+Nz25tvpvSDUX5b82hqGpAWzLGcaY+61o5syZGq9DIZRvTk5OhUYRvn//PlWqVCmdAmlB5cqViYqKUv6ckpKCsbExxsbGedJmZGRw/vx5ZsyYobLf39+fU6dOFel60dHRnDp1ivnz5yv3nT59milTpqik69Spk3IJgly5C4wZGxvj5eXFggULqF27NpATDBRylh3OpVAoMDIy4uTJk3qrGEQfQwXh4uJCUFAQH3/8MXfv3tV3cYQKrMTDVZFx7949rKysVLb8vvkD3Lt3j6ysLKpVq6ayv1q1aoUGKHRwcMDY2BgPDw/Gjx+v8kGdmJhYaJ65C4wdOnSI9evXk5iYiK+vrzLMuYuLC46OjoSEhPDw4UMyMjJYtGgRiYmJKvHkSpuoGCqQuXPnYmBgwOzZs/VdFKGC0sqsZynnW3X9+vWpX78+S5cuJTk5WSVic35e7kuTJKnQ/rUTJ05w7tw5Pv/88zxNREXJMyAggHfeeQc3Nzc6duzI999/D8DWrVuBnEEDe/bs4erVq1hbW2NmZsbRo0cJCAhQ6YsobaIpqQKxtrbmww8/JDg4mGHDhuHr66vvIgkVjVY6n3P+m7vui4mJidoFtKpUqYJCocjzdpCUlJTnG//LcmeUu7m5cffuXebOnUtgYCCQE6JE0zzzW2DM3d2dmJgYkpOTycjIwNbWFi8vryKtS6Mr4o2hggkKCsLLy4uhQ4eSlpam7+IIQrFoMo/ByMgId3d3IiMjVfZHRkZq9OVIkiRlnwDkRGd+Oc+IiAi1eeYuMFa9evU8x6ysrLC1tSUuLo5z587RrVu3IpdN28QbQwWjUCjYsmULTZs2Zfbs2SxbtkzfRRIqFBmUNDqqpHnY7alTpzJo0CA8PDzw8fFh3bp1xMfHK9eJCQkJ4c6dO2zbtg2Azz77jFq1auHi4gLkzGtYunQpEydOVOYZHBxM69atWbx4Md26dWP//v0cPnyYkydPKtNMmzaNLl26UKtWLZKSkpg/f36eBcZ2796Nra0ttWrV4uLFiwQHB9O9e3f8/f1L9pxKQFQMFVD9+vX56KOPmDZtGj169CjW8qiCUBzaiI4qoXlQjL59+3L//n1CQ0NJSEjA1dWVgwcPKhf6SkhIID4+Xpk+OzubkJAQbty4gYGBAXXq1GHRokWMGTNGmcbX15fw8HBmz57NnDlzqFOnDrt27VKZw5C7wNi9e/ewtbXF29s7zwJjCQkJTJ06lbt371K9enUGDx6s95GDomKooIKDg/nmm28YNmwYv/76q94m0ghCcRQnumpQUBBBQUH5HtuyZYvKzxMnTlR5OyhIr1696NWrV4HHi7LA2KRJk5g0aVKh6UqTqBjKAEW6+q9Q8gz134/iQ/KfqKYu7LZCoWDz5s00adKEmTNn8umnnxZeUEEoKS1NcBMruOmW6HyuwOrWrcuiRYtYsWIFx44d03dxhAogZ6EebURYFXRJVAwV3IQJE2jdujXDhg0jNTVV38URXnXaiKAn6JxoSqrg5HI5mzZtonHjxkyfPl0seiKUC2IFN90SFYNAnTp1WLx4MRMnTmT8+PHKtltB0DptNAWJPoZ8xcbGEh8fT0ZGhsr+rl27apyXqBgEAFxdXYG8U/wFQev0EF31VXb9+nV69OjBxYsXkclkyjU3cv+Ws7KyNM5T9DEIAFy6dAkjIyNef/11fRdFEAolVnD7T3BwMM7Ozty9exczMzN+//13jh8/joeHB0ePHi1WnqJiEICcisHFxQVDQ0N9F0V4pcm0shVnBbdX1enTpwkNDcXW1ha5XI5cLqdly5YsXLiw2PMjRFNSGVDpeora4w/rvab2+Ns9o/Ldr8g2gHjnIpXh0qVLyuYkQdAZPS3U8yrLysqiUqVKQE7AwL///pv69evj6OjIlStXipWnqBgEAP766y9atmyp72IIrzox5FTrXF1d+e2336hduzZeXl4sWbIEIyMj1q1bp1wQSFOiYhCAnLDCv/76q76LIQhFIoar/mf27Nk8efIEgPnz5/P222/TqlUrbGxs2LVrV7HyFBWDAOQEBFu6dCnZ2dnKOPeCoBN6iK76KuvUqZPy/2vXrk1sbCwPHjygcuXKxR5lKD4BBCCnYkhOTuby5cv6LorwCtPGCm4ljc5aEVhbW5do6Ll4YxAAeOONN1AoFJw6dYpGjRrpuzjCq0x8sJdYz549i5z2m2++0Th/UTEIAFSqVIkmTZrwyy+/MGrUKH0XRxDUquh9DFZWVjrNX1QMgpKvry+HDh3SdzGEV5mknxXcXjWbN2/Waf6iYigDHtcpeCFzAJP76s+P+scx3/1GkoKir2ibUzGsWrWKf/75B1tbWw3OFISikUk5W0nzEHRLdD4LSrmLmJ86dUrPJREE9URIjP/cvXuXQYMGYW9vj4GBAQqFQmUrjjJZMSxcuBCZTMbkyZOV+1JTU5kwYQIODg6YmprSoEED1qxZo3LelStXaNGiBQ4ODoSGhqocc3JyQiaTERWlOkt48uTJtG3bVle3Uq7UqlULR0dHDh8+rO+iCK8yLazJIEJi/Gfo0KFcuHCBOXPm8PXXX/PNN9+obMVR5pqSzp49y7p162jcuLHK/ilTpnDkyBG2b9+Ok5MTERERBAUFYW9vT7du3YCctsZBgwbh6enJ2LFj6dChAy1atFDmYWJiwvTp08VqZQWQyWR06dKFAwcOsGLFChFpVdA+bfQxCCpOnjzJiRMnaNq0qdbyLFNvDKmpqQwYMID169dTuXJllWOnT59myJAhtG3bFicnJ0aPHk2TJk04d+6cMs2jR49o1qwZjRs3xt7enuTkZJU8xowZQ1RUFAcPHiyV+ymPunbtSnx8PBcvXtR3UYRXkTZWcBN9DCpq1qypDLWtLWWqYhg/fjydO3emY8eOeY61bNmSAwcOcOfOHSRJ4siRI1y9elVl1l9oaCh+fn6YmZkhl8tVjkFOc9LYsWMJCQkhOztb5/dTHrVp0wYLCwsOHDig76IIQoFEH8N/wsLCmDFjBjdv3tRanmWmKSk8PJwLFy5w9uzZfI+vWLGCUaNG4eDggIGBAXK5nA0bNqgEfnvrrbf4559/SElJKXBUzezZs9m8eTNffvklgwYN0qiMmZmZZGZmanROfnm8+F8AIwP1r9bZhRw3kvLvYMrdr0mZZTIZb7/9NocOHWL69OlFPu/F65T0GYnr6e/eSoUWoqtW9OGqL4e7ePLkCXXq1MHMzCxP6PwHDx5onH+ZqBhu3bpFcHAwERERmJiY5JtmxYoVREVFceDAARwdHTl+/DhBQUFUr15d5Q3D2NhY7VBLW1tbpk2bxv/+9z/69u2rUTkjIiIwMzPT6JyCREZGKv9/St86JcssTX1o7RevVRS5z6W4TW6aXq+kXuXrlda10tLSSuU6Iuy2doSFhek0/zJRMZw/f56kpCTc3d2V+7Kysjh+/DirVq0iOTmZmTNnsnfvXjp37gxA48aNiYmJYenSpfk2PakzdepUVq9ezerVqzU6z9/fH0tL9XMOCpOZmUlkZCR+fn7Kmr1L1+Vqz3lip37xnB7v/pTvflm2IbVvDFW5VlE8ePCAOnXqsHz5coYOHVrk8/K7N116la9X2vd2/34hk2W0RUILnc+i83rIkCE6zb9M9DF06NCBixcvEhMTo9w8PDwYMGAAMTExZGVlkZmZmSfqp0KhKFZfQaVKlZgzZw4fffQRKSnqF8l5kaGhoVa2l/PKyMhWvz2X1G7Zisx8N0meWaxyV6tWjZYtW7J27VoMDAxKdG+63l7l6+nj3sqL4vQxrF69GmdnZ0xMTHB3d+fEiRMFpv3mm2/w8/PD1tYWS0tLfHx88kQF2LJlCzKZLM/27NmzfPPMbxg+5MxDGDp0KPb29piZmfHmm28SFxdXpHuCnDf7/CIWRERE8MMPPxQ5nxeViYrBwsICV1dXlc3c3BwbGxtcXV2xtLSkTZs2vPfeexw9epQbN26wZcsWtm3bRo8ePYp1zdGjR2NlZcXOnTu1fDevhkmTJnH+/HlOnz6t76IIr5jc2c/F3Yozj2HXrl1MnjyZWbNmER0dTatWrQgICCA+Pj7f9MePH8fPz4+DBw9y/vx52rVrR5cuXYiOjlZJZ2lpSUJCgsqWX3N4QcPwJUmie/fuXL9+nf379xMdHY2joyMdO3ZUrrFQmBkzZpCVlZVnf3Z2NjNmzChSHi8rExVDUYSHh+Pp6cmAAQNo2LAhixYt4qOPPmLs2LHFys/Q0JB58+YVWLtXdG+++SZ169ZlxYoV+i6K8CrR03DVZcuWMWLECEaOHEmDBg0ICwujZs2aeSbJ5goLC+P999/H09OTunXrsmDBAurWrcu3336rkk4mk2FnZ6eyvUzdMPy4uDiioqJYs2YNnp6e1K9fn9WrV5OamlrkL61xcXHKjvgXubi4cO3atSLl8bIy0ceQn6NHj6r8bGdnV6LAUfkN5QoMDCQwMLDYeb7K5HI5EydOZMqUKdy+fRsHBwd9F0kQlCpXrqwSxSAlJQVjY2OMjY3zpM3IyOD8+fN5vj37+/sXOfxLdnY2jx8/xtraWmV/amoqjo6OZGVl0bRpU+bNm0ezZs1U0rw4DH/+/Pkqx9LT0wFU3jIUCgVGRkacPHmSkSNHFlo2Kysrrl+/jpOTk8r+a9euYW5uXqT7e1m5eWMQSt+QIUMwMzMr8FuVIOjLvXv3sLKyUtkWLlxYYNqsrCyqVaumsr9atWokJiYW6XqffPIJT548oU+fPsp9Li4ubNmyhQMHDrBz505MTExo0aKFSv9A7jD8gsrm4uKCo6MjISEhPHz4kIyMDBYtWkRiYiIJCQlFKlvXrl2ZPHkyf/75p3LftWvXePfdd+natWuR8niZqBiEAllaWjJs2DDWrl3L06dP9V0c4RVQ0v4FmZQzJkmhUFC/fn3q16/P0qVLSU5OJiQkRP21XwrxIklSkcK+7Ny5k7lz57Jr1y6qVq2q3O/t7c3AgQNp0qQJrVq14quvvqJevXqsXLkS+G8Y/vbt2wschm9oaMiePXu4evUq1tbWmJmZcfToUQICAoocAO/jjz/G3NwcFxcXnJ2dcXZ2pkGDBtjY2LB06dIi5fGyMtuUVJE8raZ+RIjlDfUfyls3vpnvfmOFjDmaxN3Ox8SJE1m5ciXh4eEMGzasZJkJAtpZjwFQjlI0MTFRO4y8SpUqKBSKPG8HSUlJed4iXrZr1y5GjBjB7t27Cx0WL5fL8fT0VL4xFDYMPz09HYVCgbu7OzExMSQnJ5ORkYGtrS1eXl54eHiovV4uKysrTp06RWRkJL/++iumpqY0btyY1q1bF+n8/IiKQVDr9ddfx9/fnw0bNoiKQSgzNFnBzcjICHd3dyIjI1VGMUZGRioDcOZn586dDB8+nJ07dyrnT6kjSRIxMTG4ubkB/w3Df9GwYcNwcXFh+vTped4Icldli4uL49y5c8ybN69I9wc5b0P+/v74+/sX+Rx1RMUgFGrkyJH07t2b2NjYfEc/CEKRZf+7lTAPTUNiTJ06lUGDBuHh4YGPjw/r1q0jPj5eOaoxJCSEO3fusG3bNiCnUhg8eDCffvop3t7eyrcNU1NT5Qf4hx9+iLe3N3Xr1iUlJYUVK1YQExOjHD6bOwz/RS8Ow8+1e/dubG1tqVWrFhcvXiQ4OJju3btr9CEfHx+PoaEh1atXV+5LSEggMzOTWrVqFTmfXKKPQShU165dqVKlChs3btR3UYRyToZ2+hg01bdvX8LCwggNDaVp06YcP36cgwcP4uiYs/phQkKCypyGtWvX8vz5c8aPH0/16tWVW3BwsDLNo0ePGD16NA0aNMDf3587d+5w/Phx3njjDY3KlpCQwKBBg3BxcWHSpEkMGjRI4/lVTk5OdOjQQWVf+/btcXZWHy6nIOKNQSiUkZERQ4YMYcuWLSxYsCDfIYGCUJo0aUrKFRQURFBQUL7HtmzZovLzy8Pl87N8+XKWL1cfzuZl+eU7adIkJk2apFE+Lzty5EieOG7btm0rdgws8cYgFMmIESO4f/8++/fv13dRhPJMSxPcxApuqtq0aYOnp6fKPk9PT9q0aVOs/ETFIBRJgwYNaNGiBRs2bNB3UYTyTizUoxNJSUmcOHGCkydPkpSUVKK8RMUgFNnIkSOJjIzkxo0b+i6KUF5paR6D8J+UlBQGDRpEjRo1aNOmDa1bt6ZGjRoMHDgwzyqWRSX6GMqAdCv19fPzuqZqj2dY5b9fpuVqv3fv3kyaNIlNmzZpNJROELStOH0Mr6qRI0cSExPDd999h4+PDzKZjFOnThEcHMyoUaP46quvNM5TvDEIRWZubs7w4cNZunQpZ86c0XdxhPJIImeCWok20cfwou+//55NmzbRqVMnLC0tsbCwoFOnTqxfv57vv/++WHmKikHQyKJFi2jevDldunTh+vXr+i6OUB6JPgatsrGxUc6teJGVlVWeaK5FJSoGQSMmJibs378fKysr3nrrrWKtJytUXNqIlSQqBlWzZ89m6tSpKkH3EhMTee+995gzZ06x8hR9DILGqlSpwsGDB/Hx8aFHjx5ERESIuQ1CqarofQzNmjVTCQAYFxeHo6OjcpZzfHw8xsbG/PPPP4wZM0bj/EXFIBRL3bp12b9/Px06dGD48OFs375d30USygMtfePXNCTGq6Z79+46zV9UDEKxtWjRgm3bttG3b18sLS1p3Lgx9vb2hIaG4uXlRevWrdVGvRQqJlkJKwaZJFqTPvjgA53mLyqGMkAqpKfnSXX1I7etPP/Jd7+RpICM4sVKKao+ffoQHx/P+++/T6VKlfjiiy/Yvn078+fPR6FQ4OHhQYcOHRg4cCANGjTQaVmEiqOiNyXpmuh8Fkps2rRppKamcu/ePQCuXLnCtWvXWL16NU5OTqxbt47WrVvz999/67mkgt6JkBhaUblyZaytrYu0FYd4YxC0wszMjMzMTCAnNnydOnWoU6cOo0eP5p9//qFJkyYMGjSIiIiIIq9MJbyCxKgirQgLC9Np/qJiEHTO1taW7du307FjRxYvXszMmTP1XSRBT3LDbpcoD1GxMGTIEJ3mLyoGoVS0b9+emTNn8r///Y+WLVuWaNlBQRB9DKqys7O5du0aSUlJZGerroRUnL81UTEIpWbu3LmcPHmSfv36ERMTo7KwuiBooqIPV31RVFQU/fv356+//kKSVF+nZDIZWVlZGucpOp+FUmNgYMDOnTvJyspiwIABxfqFFco5LXU+C/8ZO3YsHh4eXLp0iQcPHvDw4UPlVtzIBOKNQShV1atXZ8eOHfj5+dG9e3eCgoLw8/PDwED8KlYEyrAWJcxD+E9cXBxff/01r7/+utbyFH+NZYDlzUy1x/9pYqj2eNLd/ONuGyOH14pbKt3p0KEDX3zxBQsWLOCtt97Czs6OAQMGMHjwYBo3bqzv4gnlgOhj+I+XlxfXrl0TFYNQ/g0YMID+/ftz4cIFtm3bxtatW/nkk09o0qQJgwcPpn///tjZ2em7mIIuiJAYJfbbb78p/3/ixIm8++67JCYm4ubmhqGh6hfJ4nzZEhWDoDcymQx3d3fc3d1ZunQpP/zwA9u2bSMkJIT3338ff39/hgwZQteuXTE1Vb9YkVBOaKOPQDQl0bRpU2QymUpn8/Dhw5X/n3usuJ3PomIQygRDQ0O6du1K165defDgAV999RVbt26lX79+WFlZcfz4cdHMJChV9KYkXS+vK0YlCWWOtbU1Y8eO5fTp01y5cgW5XM6+ffv0XSxBG7S0HkNFD4nh6Oio3Hbs2MFPP/2kss/R0ZGffvqJ8PDwYuUvKgahTKtXrx7u7u6cP39e30URtEUMVdWqtWvX4uLikmd/o0aN+Pzzz4uVp6gYhDJPVAyvDm2s4CaGq6pKTEykevXqefbb2tqqrOqmCVExCGWeu7s7d+7c4e7du/ouilBGWFtbExsbS2xsbJFHJK1evRpnZ2dMTExwd3fnxIkTBab95ptv8PPzw9bWFktLS3x8fDh06FCedHv27KFhw4YYGxvTsGFD9u7dq3J8zZo1NG7cGEtLS2U+P/zwg0qau3fvMnToUOzt7TEzM+PNN98kLi6uSPcEULNmTX755Zc8+3/55Rfs7e2LnM+LRMVQBmQbytRuhqmo3YzjjfLfbquf/1BeuLu7A4i3hleFHsJu79q1i8mTJzNr1iyio6Np1aoVAQEBxMfH55v++PHj+Pn5cfDgQc6fP0+7du3o0qUL0dHRyjSnT5+mb9++DBo0iF9//ZVBgwbRp08fzpw5o0zj4ODAokWLOHfuHOfOnaN9+/Z069ZN2XEuSRLdu3fn+vXr7N+/n+joaBwdHenYsSNPnjwp0uMcOXIkkydPZvPmzfz111/89ddfbNq0iSlTpjBq1Kgi5fEyMSpJKPOcnZ2pXLkyZ86c4a233tJ3cYSS0OJw1dxgcc+ePSMlJQVjY+MC1x5ftmwZI0aMYOTIkUBO2OpDhw6xZs0aFi5cmCf9y2GtFyxYwP79+/n2229p1qyZMo2fnx8hISEAhISEcOzYMcLCwti5cycAXbp0Ucnno48+Ys2aNURFRdGoUSPi4uKIiori0qVLNGrUCMh5s6latSo7d+5Ulled999/nwcPHhAUFERGRgYAJiYmTJ8+XVk2TZXojWHhwoXIZDImT56s3CeTyfLdPv744wLzadu2bb7ndO7cWZlm7ty5eY6/PAEqMTGRgIAA7O3tCQoKUokymHuNl3vpw8LCcHJyKsljEHRMJpPx9ttvs3DhQtauXZsnUJhQfmiljwHIysriypUrXLlyhWnTpmFlZZXvBzxARkYG58+fx9/fX2W/v78/p06dKlK5s7Ozefz4scrCN6dPn86TZ6dOnQrMMysri/DwcJ48eYKPjw8A6enpQM4HeS6FQoGRkREnT54sUtlkMhmLFy/mn3/+ISoqil9//ZUHDx7wv//9r0jn56fYFcPZs2dZt25dnrHlCQkJKtumTZuQyWS88847Beb1zTffqJxz6dIlFAoFvXv3VknXqFEjlXQXL15UOT579mw8PT354YcfuHnzprLWzmViYsLs2bOVC8oI5ceGDRsYNWoUY8eOZfTo0co/KKFiqlKlCsnJySpbQd+O7927R1ZWFtWqVVPZX61aNRITE4t0vU8++YQnT57Qp08f5b7ExMQi5Xnx4kUqVaqEsbExY8eOZe/evcpZ2y4uLjg6OhISEsLDhw/JyMhg0aJFJCYmatxxXKlSJTw9PXF1dS3wzamoilUxpKamMmDAANavX0/lypVVjtnZ2als+/fvp127dtSuXbvA/KytrVXOiYyMxMzMLE/FYGBgoJLO1tZW5fijR49o1KgRbm5uODs7k5ycrHI8MDCQ5ORk1q9fX5zbFvTIyMiIzz77jE2bNvHFF1/Qpk0b0RldXmmhj+Hhw4d4e3vj7e3NF198gaWlZaEfhjKZ6trpuTODC7Nz507mzp3Lrl278oSKL0qe9evXJyYmhqioKMaNG8eQIUOIjY0FciZ27tmzh6tXr2JtbY2ZmRlHjx4lICBArysdFqtiGD9+PJ07d6Zjx45q0929e5fvv/+eESNGaJT/xo0b6devH+bm5ir74+LisLe3x9nZmX79+nH9+nWV4zNmzGDSpEkYGxsTHR3N4MGDVY5bWloyc+ZMQkNDi9yxI5Qtw4YN48SJE8THxxMYGKjv4gia0kKloGkfRZUqVVAoFHm+ySclJeX5xv+yXbt2MWLECL766qs8n3d2dnZFytPIyIjXX38dDw8PFi5cSJMmTfj000+Vx93d3YmJieHRo0ckJCTw448/cv/+fZydnTW7US3SuPM5PDycCxcucPbs2ULTbt26FQsLC3r27Fnk/P/v//6PS5cusXHjRpX9Xl5ebNu2jXr16nH37l3mz5+Pr68vv//+OzY2NgB4eHhw584d7t27V2AAtqCgID799FOWLVvGnDlzilwugMzMzBI3Q+We/2I+Robq62djhfpvNVIBpxvLZXmupUv53ZsuNG3alH379tGtWzeAUmtWKq37K+1rleZ1tEWTkBhGRka4u7sTGRlJjx49lPsjIyOVv0P52blzJ8OHD2fnzp0q/Z25fHx8iIyMZMqUKcp9ERER+Pr6qi2PJEn5/s5aWVkBOV+Az507x7x58wq9N13RqGK4desWwcHBREREqHSWFGTTpk0MGDCgSGlzbdy4EVdXV9544w2V/QEBAcr/d3Nzw8fHhzp16rB161amTp2qPJbb3FQQY2NjQkNDmTBhAuPGjStyuSDnH93MzEyjcwoSGRmp/P9JA7UXLrewa5WG0rpe7qzOn376qVSul6s0n2dpXSstLa1UrpMbEqOkNI2uOnXqVAYNGoSHhwc+Pj6sW7eO+Ph4xo4dC+SMKLpz5w7btm0DciqFwYMH8+mnn+Lt7a18MzA1NVV+gAcHB9O6dWsWL15Mt27d2L9/P4cPH1bpNJ45cyYBAQHUrFmTx48fEx4eztGjR/nxxx+VaXbv3o2trS21atXi4sWLBAcH07179zwd26VJo4rh/PnzJCUlKceVQ05P+/Hjx1m1ahXp6enKdrETJ05w5coVdu3aVeT809LSCA8PJzQ0tNC05ubmuLm5aTQRJNfAgQNZunQp8+fP12hEkr+/P5aWlhpf70WZmZlERkbi5+enDI/7Vu9P1Z5j8Ex9dMSkpvm3rRopZMx4w4k5D/4knex805i+9lRt3gFOlws89s2lpio/GyNnnmVd5qTEkU42xvFGavN+bqb+E+LXCRPUHs99lps3byYiIgKZTEb9+vWZN2+eTv6o8vu305XSvBbA/fv3dX4NJS0NV9VE3759uX//PqGhoSQkJODq6srBgwdxdHQEcgbNvDinYe3atTx//jxPpTNkyBC2bNkCgK+vL+Hh4cyePZs5c+ZQp04ddu3ahZeXlzL93bt3GTRoEAkJCVhZWdG4cWN+/PFH/Pz8lGkSEhKYOnUqd+/epXr16gwePFjj1gxt06hi6NChQ56RQMOGDcPFxYXp06erdJZs3LgRd3d3mjRpUuT8v/rqK9LT0xk4cGChadPT07l8+TKtWrUq+g38Sy6Xs3DhQnr27KnRW4OhoaHW/khfzCsjM/8P7VzZGeqPp2ep/0tJJ7vAikFewP5cWfKCmxgKylN5vWz15XpeyLDToj7r3bt3c/XqVc6cOcPatWuZMmUKf/zxB3K5buZvavP3oKxcq7TuR58ruAUFBREUFJTvsdwP+1xHjx4tUp69evWiV69eBR5/uUk8P5MmTWLSpElFul5p0ahisLCwwNXVVWWfubk5NjY2KvtTUlLYvXs3n3zySb75DB48mBo1auQZd7xx40a6d++u7DN40bRp0+jSpQu1atUiKSmJ+fPnk5KSwpAhQzS5BaXOnTvj5eXF2rVrC+2AEsq+Ro0a0ahRI+rVq0erVq2IiIjgzTff1HexBB2p6GG3dU0nX6nCw8ORJKnAUSPx8fF5xuhevXqVkydPFjiC6fbt2wQGBlK/fn169uyJkZERUVFRylfB4li8eDHPnj0r9vlC2dOiRQuaNm1aIUMxlwtaGpVU0cNu61qJQ2Lk98o1evRoRo8erdE59erVUzujtbhxxdVd08fHR8yifcXIZDJ69uzJihUr9F0UoSDiT67ME7GShFfO66+/zr1790hJSSnxYAGhbBJNSboloqsKr5zcWfZ//vmnnksivEympU00JemWeGMoA4yS1U8uSrdWP+zztT/zH85qZCgHHzCrnIaigBFE2dnqvxtYGRQ8nLWHW4zKz4psA7hVny6NfiNL/pxvE7zyP/FfJncLD0dQHHXq1AHg+vXrykiYQhmhxeiqgu6IikF45djY2GBpaSneGMoiPQ5XFYpOVAzCK0cmk1G7dm1RMbzCRB+Dbok+BuGVVKdOHf744w99F0PIjxiuWuaJikF4JXXu3Jnjx49z4cIFfRdFeFEpR1YVikdUDMIradCgQdSrV4/Zs2fruyjCC7SxgpuoHHRP9DEIryQDAwNCQ0Pp168fv/zyCy1atNB3kQQtEn0MuiXeGIRXVu/evWnSpAmzZs0SM9zLEtHHUOaJN4YyoKCFdnLJC4muiiz/DOTynA9DxSlLFAVEYH1WS/0H5i7D5gUee8sxVuVnBTnzEozlWWTJn5Nlpr7cGc7qQ36XlFwuZ/78+XTp0oXDhw+rhDoW9EMr0VW1UxRBDVExCK+0zp074+3tzcyZM+nYsWOR1vgVyj7RlKRboilJeKXJZDIWLFjAuXPn2L9/v76LI4joquWCqBiEV167du3o0KEDc+bMIStL/Wp4gu5pZWSSoFOiYhAqhI8++ohLly6VOHy7UEJaemMQdEv0MQgVgpeXF126dGHx4sUMGDBA38URSkj0MeiWeGMQKowhQ4Zw8eJFrl+/ru+iVGxaeFsQfQy6JSoGocLo1KkTxsbGohNaj8TM5/JBNCWVAZmVDNUnKGSEZbZB/gly9z83hecFTCkwTFafeepjkwKPHU2oq/KzkaTgDeBEYh0yZFmY1XysNu8ava+qPU5v9Yc1ValSJTp06MD+/fuZMmWKdjMXikYbH+yiYtA5UTEIFUrXrl0ZP3489+/fx8bGRt/FEYpJ9DHolmhKEiqUrl27kpWVxbfffqvvolRIMkAmSSXbEH0MuiYqBqFCqV69Ou3atWPTpk36LkrFpMfhqqtXr8bZ2RkTExPc3d05ceJEgWkTEhLo378/9evXRy6XM3ny5DxptmzZgkwmy7M9e/ZMmWbhwoV4enpiYWFB1apV6d69O1euXFHJ5+7duwwdOhR7e3vMzMx48803iYuLK95NaomoGIQKZ/To0Zw4cUIs5FOOWVtbExsbS2xsLOPHjy80/a5du5g8eTKzZs0iOjqaVq1aERAQQHx8fL7p09PTsbW1ZdasWTRp0qTAfC0tLUlISFDZTEz+65c7duwY48ePJyoqisjISJ4/f46/vz9PnjwBQJIkunfvzvXr19m/fz/R0dE4OjrSsWNHZRp9EBWDUOH06NEDGxsbNmzYoO+iVDxaGJUkK0ZIjGXLljFixAhGjhxJgwYNCAsLo2bNmqxZsybf9E5OTnz66acMHjwYKyurAvOVyWTY2dmpbC/68ccfGTp0KI0aNaJJkyZs3ryZ+Ph4zp8/D0BcXBxRUVGsWbMGT09P6tevz+rVq0lNTWXnzp0aPFjtEhWDUOEYGxszePBgtm7dSnp6ur6LU/FoqSkpOzub7Oxsnj17RkpKSoH/lhkZGZw/fx5/f3+V/f7+/pw6dapEt5KamoqjoyMODg68/fbbREdHq02fnJwM5LzxAMoyv/iWoVAoMDIy4uTJkyUqW0mIiqEcyDaUqd2SnRT5bim1cv555Vkgf57/JssuZJMXvN39x1JlS7pnAUDSPQvu/mOJ4WErtZv0PFPtpkujRo3i3r177Nu3T6fXEVRp421BBmRlZXHlyhWuXLnCtGnTsLKyYuHChfle8969e2RlZVGtWjWV/dWqVSMxMbHY9+Li4sKWLVs4cOAAO3fuxMTEhBYtWhTYPyBJElOnTqVly5a4uroq83B0dCQkJISHDx+SkZHBokWLSExMJCEhodhlKykxXFWokBo0aEDLli1Zv349ffv21XdxBA1VqVKFa9euqewzNjZWe87LIdclSSpRGHZvb2+8vb2VP7do0YLmzZuzcuVKVqxYkSf9hAkT+O2331TeBAwNDdmzZw8jRozA2toahUJBx44dCQgIKHa5tEG8MQgV1qhRo/jpp5/4888/9V2UikNLo5IePnyo/GD+4osvsLS0LLBiqFKlCgqFIs/bQVJSUp63iJKQy+V4enrm+8YwceJEDhw4wJEjR3BwcFA55u7uTkxMDI8ePSIhIYEff/yR+/fv4+zsrLWyaUpUDEKF1bt3b1577TU2btyo76JUKKUdEsPIyAh3d3ciIyNV9kdGRuLr66u1+5IkiZiYGKpXr66yb8KECXzzzTf8/PPPaj/srayssLW1JS4ujnPnztGtWzetlU1ToilJqLBMTU0ZOHAgmzZt4sMPP8TQsJDQJEKZoenM56lTpzJo0CA8PDzw8fFh3bp1xMfHM3bsWABCQkK4c+cO27ZtU54TExMD5HQw//PPP8TExGBkZETDhg0B+PDDD/H29qZu3bqkpKSwYsUKYmJiVEZJjR8/nh07drB//34sLCyUby1WVlaYmpoCsHv3bmxtbalVqxYXL14kODiY7t275+ksL02iYhAqtFGjRrFq1Sq+++47evTooe/ivPq0FAQvd7gq5Hz4FjaXoW/fvty/f5/Q0FASEhJwdXXl4MGDODo6AjkT2l6e09CsWTPl/58/f54dO3bg6OjIzZs3AXj06BGjR48mMTERKysrmjVrxvHjx3njjTeU5+UOh23btq1K3ps3b2bo0KHKa0+dOpW7d+9SvXp1Bg8ezJw5czR+JtokKgahQmvcuDFvvPEGGzZsEBVDKdDGCmzFPT8oKIigoKB8j23ZsiXPPklSf6Hly5ezfPlytWkKywNg0qRJTJo0qdB0pUn0MQgVnp+fH5cuXdJ3MSoICSQtbIJOiTeGMsDwyXO1x6U09eebJSny3W+U+6+b/e+Wj/QqBRz4l4X5swKPmRmpzjUwkhSQDlWrPCZDlkVWqvrhgwZVbdUeLy0WFhZ6DT8gaE5EV9Ut8cYgVHjm5uakpqbquxgVglYmuBUjJIagGZ1XDAsXLkQmk6lEJ8wvIqFMJuPjjz8uMJ+iRDJMTU2lX79+VK9enX79+ql8Cxw6dCgymYxFixap5Ltv374STXIRyr9KlSqRnp7O8+fq39wELdBSOAxBt3RaMZw9e5Z169bRuHFjlf0vRyPctGkTMpmMd955R21+hUUyDAsLo1KlSkRERGBmZkZYWJjK+SYmJixevJiHDx9q7R6F8s/c3BxANCeVBqkIYVgK2QpqFhW0R2d9DKmpqQwYMID169czf/58lWMvRyDcv38/7dq1o3bt2mrzzI1kWJBHjx5Rr1493NzccHFx4d69eyrHO3bsyLVr11i4cCFLlizR8I6EV1WlSpWAnN9ZdZE0hbJD9DHols7eGMaPH0/nzp3p2LGj2nR3797l+++/Z8SIEYXmWVgkwwkTJrB27VoMDQ3ZvHkzwcHBKscVCgULFixg5cqV3L59W/ObEl5JuRWDeGMoJVpoShJ9DLqlk4ohPDycCxcuFBjt8EVbt27FwsKCnj17qk1XlEiGTk5OxMXFcevWLWJjY6lRo0aefHr06EHTpk354IMPNL8x4ZWU25QkOqB1T1udz4Juab0p6datWwQHBxMREaHS/l+QTZs2MWDAgELTFjWSoVwuV9vcBLB48WLat2/Pu+++W2j5XpSZmUlmZsnCQeee/2I+hkaF1M+F9I0bGeSfIHe/kaLgDLIK6Xg3lgoum5GkeOlnucp/swooVy5Dk/yH2eYq7Fnn9yyLw8zMDFNTUx49eqQ2L21dryhK81qleR1tEU1JuiWTijI1TwP79u2jR48eKBT//dFnZWUhk8mQy+Wkp6crj504cYLWrVsTExOjdvm8gowaNYrbt2/zww8/FJp26NChPHr0SBl/v3PnzhgaGjJ06FB69OihdoZiSkoKVlZW7NixAzMzM43LKQhlXVpaGv379yc5ORlLS0udXKN169YkPquJba1mhSdW42HiHzz883sqV64MFC0khqAZrb8xdOjQgYsXL6rsGzZsGC4uLkyfPl2lwti4cSPu7u7FqhRyIxm6ubkVq5yLFi2iadOm1KtXr8jn+Pv7l/iPJjMzk8jISPz8/JRB29qPWaX2HFmW+rrboIA5aEYGMsb1qc28KzdJz84/j4zKhQzxMM0q8JDF76pB54wUMqZ7ObH4zE0ysiTM7qovt8U359Ue33d/s9rj+T3L4urUqRP29vZs3lzwNbV5vcKU5rUA7t+/r/NrQM7Lr75CYghFp/WKwcLCQrk6US5zc3NsbGxU9qekpLB7924++eSTfPMZPHgwNWrUUPZTFCWSoSbc3NwYMGAAK1euLPI5hoaGWvsjfTGvjOfqf9MLqxiyMws6ntOkk54tFVwxSIWN/Sv4uFEB5crIkkjPkjAo5L4yn6qfN1DUZ62Nf5fmzZuzZ8+eIuWjzd+DsnKtUossK+YilAt6C4kRHh6OJEkEBgbmezw+Ph65/L/27aJEMtTUvHnz+Oqrr4p9vvDq8PLy4pNPPuHu3btaXbxF0A3Rx6BbpVIxHD16NM++0aNHM3r06CKfU5RIhurkFz3R0dFRZea0UHHlDmw4c+YMXbt21XNpXmFaiq56X8Ow24JmRKwkQQAcHByoXr06UVFR+i7KK04b0VX1fQ+vPhFdVRDImVXv7e3NmTNn9F2UV5qYh1A+iIqhDLC6qn5i1ePa5mqPF/SHlrvf+CFQwOAi00T1cwmyjQo+rnipFS53wJniGSiywCBNfce2lFXwiCd98PLyYv78+WRlZamMnhPKHtHHoFuiKUkQ/uXt7U1qaiqXL1/Wd1FeXdqIrirCbuucqBgE4V/u7u7I5XLRz6BDufMYREiMsk00JQnCvypVqoSbmxtnzpxh5MiR+i6OoIZoStIt8cYgCC/w8vISbwy6lC2VfJMk0ZSkY6JiEIQXeHt78/vvv5OSkqLvory6tNHPIOiUqBgE4QVeXl5IksS5c+f0XZRXkxb6F0Qfg+6JPgZBeIGLiwuWlpZERUXRvn17fRdHKIDoY9AtUTGUAZmWxmqPm94tZF0CS/X/jAZPILuAKQNphYQFyrQo+OuZwlF1xbOsf19A01o9IZ1sHj1Uv8ZGvb+LFxlXl+RyOW+88YaY6KYrEjmzl0uUx399DCBCYuiCaEoShJd4e3sTFRWldo0OoXi0MVy1uFavXo2zszMmJia4u7tz4sSJAtMmJCTQv39/6tevj1wuZ/Lkyfmm27NnDw0bNsTY2JiGDRuyd+9eleMLFy7E09MTCwsLqlatSvfu3bly5YpKGkmSmDt3Lvb29piamtK2bVu9vw2JikEQXuLl5UVSUhJ//fWXvosiFMDa2prY2FhiY2OL9Lawa9cuJk+ezKxZs4iOjqZVq1YEBAQQHx+fb/r09HRsbW2ZNWtWgevFnD59mr59+zJo0CB+/fVXBg0aRJ8+fVTeNo8dO8b48eOJiooiMjKS58+f4+/vr7K++JIlS1i2bBmrVq3i7Nmz2NnZ4efnx+PHjzV8KtojKgZBeImXlxeAGLaqC3qa+bxs2TJGjBjByJEjadCgAWFhYdSsWZM1a9bkm97JyYlPP/2UwYMHY2VllW+asLAw/Pz8CAkJwcXFhZCQEDp06EBYWJgyzY8//sjQoUNp1KgRTZo0YfPmzcTHx3P+fM4iVZIkERYWxqxZs+jZsyeurq5s3bqVtLQ0duzYUeh96YqoGAThJba2ttSuXVv0M+iADAmZVPINIDs7m+zsbJ49e0ZKSgrp6en5XjMjI4Pz58/j7++vst/f359Tp04V+15Onz6dJ89OnTqpzTM5ORnIeeMBuHHjBomJiSr5GBsb06ZNmxKVraRExSAI+cjtZxC0LFsLm5SzjvyVK1e4cuUK06ZNw8rKSrna48vu3btHVlZWngWYqlWrRmJiYrFvJTExUaM8JUli6tSptGzZUrmaZW5abZetpMSoJEHIh5eXF3v27CE9PR1jY/WjxoTSV6VKFa5du6ayr7B/J5lMpvKzJEl59mlKkzwnTJjAb7/9xsmTJ0ulbCUh3hgEIR/e3t6kp6fz66+/6rsorxhtNCXBw4cP8fb2xtvbmy+++AJLS8sCK4YqVaqgUCjyfANPSkoq0TKudnZ2Rc5z4sSJHDhwgCNHjuDg4KCSB6D1spWUeGMoA0wu/632+FPXGmqPy9PzX/dA/u9u4+RsZM/zH+eneKb+W0mqQ8HHu/mpfmgqsg3hL1e6vn6JLHkmB667qs2bC1fVH9ejJk2aYGRkxJkzZ0q0rrjwEm2EtNDwfCMjI9zd3YmMjKRHjx7K/ZGRkXTr1q3YxfDx8SEyMpIpU6Yo90VERODr6/tfUSWJiRMnsnfvXo4ePYqzs7NKHs7OztjZ2REZGUmzZs2AnD6RY8eOsXjx4mKXraRExSAI+TA2NqZ58+ZERUUxceJEfRfn1aGNCW7FqFmmTp3KoEGD8PDwwMfHh3Xr1hEfH8/YsWMBCAkJ4c6dO2zbtk15TkxMDACpqan8888/xMTEYGRkpJxYFxwcTOvWrVm8eDHdunVj//79HD58WKWpaPz48ezYsYP9+/djYWGhfDOwsrLC1NQUmUzG5MmTWbBgAXXr1qVu3bosWLAAMzMz+vfvX9wHVGKiYhCEAnh5ebF7924uX75MgwYN9F0c4QWahsTo27cv9+/fJzQ0lISEBFxdXTl48CCOjo5AzoS2l+c05H6DBzh//jw7duzA0dGRmzdvAuDr60t4eDizZ89mzpw51KlTh127dimHOwPK4bBt27ZVyXvz5s0MHToUgPfff5+nT58SFBTEw4cP8fLyIiIiAgsLiyLfn7aJikEQCjBs2DD27NlDo0aNaN68Oba2towdO5agoCAsLS0ZPXo09evX13cxy5Xcmc8lyuOFeQxQ9JAYQUFBBAUF5Xtsy5YtefYVZeZ7r1696NWrV4HHi5KHTCZj7ty5zJ07t9C0pUV0PgtCAZo0acK1a9dYu3YtzZo149ixYwB8+eWXLFu2DBcXF8LDw/VcynJGkrSzCTol3hgEQQ1jY2NGjRrFqFGjlGs0jB07ls8++4yMjAwCAwMxNjZW6dQUdE9EV9UtUTEIQhHNnj2b69evU6dOHW7dusXnn39OWloaPj4++i5auSGTQJb/ILqiK2ZTklB0omIoCwp5NTb9o3gzIA2NFUBdFBmgyMz/GhmV1LcmSoqCj+2+3EzlZ2PkvGECe680Jp1sFHFm6vN+rj6ceFnj4uLC9evX+fjjjxk6dCj/+9//9F2k8kcbTUGiJUnnRB+DIGjo4cOHfPrpp/ouRvmkpSB6gm6JNwZB0NDw4cNZsmQJ48aNo3LlyvouToUk+hh0S7wxCIKGpk2bxvPnz1myZIm+i1IulTgkBpLGYbcFzYiKQRA0VLVqVYKDg1m5ciUPHz7Ud3HKFzFctVwQTUmCUAyTJk3ik08+YciQIbi7u2NhYUGlSpXw8vIqcMUvgZz+AS2MShJ0S1QMglAM1apV46OPPmLt2rWcO3eOx48fk5qairGxMQcPHqR9+/b6LuIrTfQx6JZoShKEYnr33Xe5evUqf//9N48fP+bZs2e0adOGrl27itXfCqCN1dtkkuhj0DXxxlAWZGWpP17Igh3Pa9nmf5pRTr0vfy4hLyDsdrah+kurO664pjpPQSGXQUNQXDdFkS1R43iG2rwjs3erv3g5Y2xszDfffIO/vz/vvPMOV65cwdzcXN/FKnvEPIYyT1QMgqBF5ubmbN++HRcXFz7++OMyFRjtVSKaknSrRE1JCxcuVMYTzyWTyfLdPv744wLzWb9+Pa1ataJy5cpUrlyZjh078n//938qaebOnZsnz9zVj3IlJiYSEBCAvb09QUFBZGf/18vVtm1bZDJZnqBnYWFhODk5Ff8hCMJLnJ2dmTp1KkuWLOHWrVv6Lk7ZoqVRSaIpSbeKXTGcPXuWdevW0bhxY5X9CQkJKtumTZuQyWS88847BeZ19OhRAgMDOXLkCKdPn6ZWrVr4+/tz584dlXSNGjVSyfvixYsqx2fPno2npyc//PADN2/eZOfOnSrHTUxMmD17NpmZ5SsUg1D+zJw5E0tLS2bMmKHvopQtuaOSSrKJpiSdK1bFkJqayoABA1i/fn2emZ92dnYq2/79+2nXrh21a9cuML8vv/ySoKAgmjZtiouLC+vXryc7O5uffvpJJZ2BgYFK3ra2qm3rjx49olGjRri5ueHs7ExycrLK8cDAQJKTk1m/fn1xblsQiszCwoIFCxawY8cOTp8+re/ilB1a6HgW8xh0r1gVw/jx4+ncuTMdO3ZUm+7u3bt8//33jBgxQqP809LSyMzMxNraWmV/XFwc9vb2ODs7069fP65fv65yfMaMGUyaNAljY2Oio6MZPHiwynFLS0tmzpxJaGgoT5480ahMgqCpIUOG0LRpU+bMmaPvorxyrK2tiY2NJTY2VkRW1QGNK4bw8HAuXLjAwoULC027detWLCws6Nmzp0bXmDFjBjVq1FCpeLy8vNi2bRuHDh1i/fr1JCYm4uvry/3795VpPDw8uHPnDrdu3eLUqVNUqlQpT95BQUGYmJiwbNkyjcokCJpSKBS8//77/PTTT1y6dEnfxSkbctd8LuGsZ9HHoFsajUq6desWwcHBREREYGJiUmj6TZs2MWDAgCKlzbVkyRJ27tzJ0aNHVc4LCAhQ/r+bmxs+Pj7UqVOHrVu3MnXqVOWx3OamghgbGxMaGsqECRMYN25ckcsFkJmZWeL+idzzX8zH0ERNbGsAA/XHc4elvszw3/2GhjIK+g5grChkKKwGXx2M5TKV/xoZqj9ZF89Sl4pzvW7dulG7dm1Wr16tUURWfd2b7mkj7LZoStI1mVSURUn/tW/fPnr06IFC8d8HVVZWFjKZDLlcTnp6uvLYiRMnaN26NTExMUUOEbB06VLmz5/P4cOH8fDwKDS9n58fr7/+unLBbXXatm1L06ZNCQsLIzs7m6ZNm9K+fXucnJwICwtTLvCdn5SUFKysrNixYwdmZurXGBCE8igtLY3+/fuTnJyMpaWlTq7RunVrHt20xv411xLl88/jP3lm9psYrqpDGr0xdOjQIc9IoGHDhuHi4sL06dNVKoyNGzfi7u5e5Erh448/Zv78+Rw6dKhIlUJ6ejqXL1+mVatWmtwCAHK5nIULF9KzZ0+N3hr8/f1L/EeTmZlJZGQkfn5+GBrmzB57p/YUtedIdtbqjxvm/89oaCRn6BQ3Pt91nYwCJrjda6T+W71RasHHrGNVv2UaGsoZNex11m++RmZmNgYnflWb9/VQd7XHs40L/s7yRpNrGGQr6H6/I/tsDvNcrjpJMD1L/a/2l96fFHzdu83z3f88y5jDMXPo2HQeBor0As+XV7ug8vO9e/do2LAhISEhTJmi/t86V36/J7r0YpOsTuU2JZUoD0ms4KZjGlUMFhYWuLqq1vbm5ubY2Nio7E9JSWH37t188kn+f3yDBw+mRo0ayn6KJUuWMGfOHHbs2IGTkxOJiTkrllWqVEnZTzBt2jS6dOlCrVq1SEpKYv78+aSkpDBkyBBNbkGpc+fOeHl5sXbtWqpVq1akcwwNDbX2R/piXpnPnqtNK6WrjzomSeqPZzyXyMjMP016tvqmJEnNpOyC8szMzCYjMxvpqfr7Si/kAyJbzX09lz9/4f+zVH4GyJTU35e6f8dsg4I/9AEMFOkYqkkjfynv6tWr07NnT1auXMmUKVM0+h3S5u9cYdcpFSKIXrmgk1hJ4eHhSJJEYGBgvsfj4+NJSEhQ/rx69WoyMjLo1asX1atXV25Lly5Vprl9+zaBgYHUr1+fnj17YmRkRFRUFI6OjsUu5+LFi3n27FmxzxeEogoODub27dvs3btX30XRK23FShJ0q8QhMY4ePZpn3+jRoxk9enSRz1HXvp/r5RnLmsqvnD4+PmjQxSIIxda4cWN8fX3Zvn07ffr00Xdxyj0REkO3RHRVQSgl3bt35/Dhw6Slpem7KPqjlZAYYriqromKQRBKSdeuXXn69GmeGf0VigRkSyXbivmWv3r1apydnTExMcHd3Z0TJ06oTX/s2DHc3d0xMTGhdu3afP755yrHt2zZkm9cuBebp48fP06XLl2wt7dHJpOxb9++vI9Ekpg7dy729vaYmprStm1bvb8NiYpBEEpJ/fr1qVevHgcOHNB3UfRHS0H0NLVr1y4mT57MrFmziI6OplWrVgQEBBAfH59v+hs3bvDWW2/RqlUroqOjmTlzJpMmTWLPnj0q6SwtLfPEh3tx/tWTJ09o0qQJq1atKrBsS5YsYdmyZaxatYqzZ89iZ2eHn58fjx8/1vg+tUWE3S4LCpvA9iBF/fEChqvKjXPyNbuZjGEBI5tM7hqrzTvbuOCyGaSqrregnFD36BlkZJPeMf9hn7kcf1A/qeqnbRvVHs98bsyP/3RiQ60TeUYJveWvvh0/O6Ke2uPqyKtdyDPyqKi6dOnCl19+SXZ2NnK5+F5WXJr2MSxbtowRI0YwcuRIICeq8qFDh1izZk2+URw+//xzatWqRVhYGAANGjTg3LlzLF26VCUgaH5Rnl8UEBCgMjn3ZZIkERYWxqxZs5QRIrZu3Uq1atXYsWMHY8aMKfI9apP4zRSEUtS1a1cSExM5d+6cvouiJ9rrY3BxccHFxYVPPvmElJQU0tPzH0KckZHB+fPn8ff3V9nv7+/PqVOn8j3n9OnTedJ36tSJc+fOqcwST01NxdHREQcHB95++22io6M1eho3btwgMTFR5VrGxsa0adOmwLKVBlExCEIp8vX1pXLlyhW3OUkrsZIksrKyuHLlCleuXGHatGlYWVkVGL/t3r17ZGVl5ZmvVK1aNeWcqZclJibmm/758+fcu3cPABcXF7Zs2cKBAwfYuXMnJiYmtGjRgri4uCI/jtzra1K20iCakgShFBkYGPDWW29x8OBB5s+fr+/ilFtVqlTh2rVrKvuMjdU3i8peWiJXkqQ8+wpL/+J+b29vvL29lcdbtGhB8+bNWblyJStWrCj8JkpQNl0TbwyCUMo6dOhATEwMDx480HdRSp9UwhFJ/24PHz5UfjB/8cUXWFpaFlgxVKlSBYVCkecbeFJSUoFRD+zs7PJNb2BggI2NTb7nyOVyPD09NXpjyO2f0KRspUFUDIJQytq3b48kSRw7dkzfRSl9kgRSdgk3zUYlGRkZ4e7uTmRkpMr+yMhIfH198z3Hx8cnT/qIiAg8PDwKDB8iSRIxMTFUr169yGVzdnbGzs5O5VoZGRkcO3aswLKVBlExCEIpc3R0xNnZmSNHjui7KHqgjaGqmg9XnTp1Khs2bGDTpk1cvnyZKVOmEB8fz9ixYwEICQlRWdhr7Nix/PXXX0ydOpXLly+zadMmNm7cyLRp05RpPvzwQw4dOsT169eJiYlhxIgRxMTEKPOEnM7pmJgYYmJigJzO5piYGOUwWZlMxuTJk1mwYAF79+7l0qVLDB06FDMzM/r371+M56sdoo+hLDBR3zZa2DekbJv8I75m/zt8VFLIkQr4l1b8fj3/A7nH1Rz7MXmTys+ZmZkcPHiQvUdnYGhoiJ+8t9q8D/2tPvpqg/UFR751DD2DoakBo7+Ang2bkPlSwD6ZwV9q81ZHbnc1//2ZmcDBYuf7onbt2lXQikE7NB2u2rdvX+7fv09oaCgJCQm4urpy8OBBZay1hIQElTkNzs7OHDx4kClTpvDZZ59hb2/PihUrVIaqPnr0iNGjR5OYmIiVlRXNmjXj+PHjvPHGG8o0586do127dsqfc9eOGTJkCFu2bAHg/fff5+nTpwQFBfHw4UO8vLyIiIjAwsKiWM9GG0TFIAh60L59ezZt2kRSUhJVq1bVd3FKT24/QQnzKE7Y7aCgIIKCgvI9lvsh/aI2bdpw4cKFvIn/tXz5cpYvX672mm3bti00HptMJmPu3LnMnTtXbbrSJJqSBEEPcr9F5hfc8ZWnh6YkQTOiYhAEPbC3t6devXoVrzlJS0H0BN0STUmCoCft27fn559/1ncxyiURdlu3xBuDIOhJu3btuHr1Kn///be+i1J6tBRET4Td1i1RMQiCnrRt2xagYjUnSRJkZ5dsK0Z0VUEzoilJEPSkatWquLq68vPPPzNgwAB9F6dcEU1JuiUqhjLghxvLdJKvcl7B8Zmlt9j7CyKzd5fo/Ctz1Byc89/97bu/WS/3pw3t2rXju+++03cxSk8x11N4OY/iDFcVik40JQmCHrVv354bN27w11/Fn5BX7mijn0HQKVExCIIetWnTBplMVnH6GbQQQE9UDLonmpIEQY8qV65Mo0aNOHPmDEOHDtV3ccoN0cegW+KNQRD0rHbt2hWmKUlCQpKyS7iJ4aq6JioGQdAzJyenClMxaGU9BtGUpHOiKUkQ9MzR0ZGbN2/qfdWuUiGhhVFJWimJoIaoGARBzxwdHUlLS+P+/ftUqVJF38UpF0Qfg26JpiRB0LPcNQFu3ryp34KUBqmEs56zc1ZxE30MuiUqBkHQMycnJ4CK0c+Q25Qk5jGUaaIpSRD0zMbGBjMzs4pRMWiJaErSLfHGIAh6JpPJqFGjBnfu3NF3UXRPykbKLtn24gpuoilJN8QbgyCUAfb29iQkJOi7GLqnjVFJYliSzomKQRDKgOrVq1eMdRly5zGURLZ2iiIUTFQMglAG2Nvbq114HuDp06ccOnSIX375BQsLC2xsbJRb1apVqV27NhYWFqVUYv0SfQy6JSoGQSgDbGxsePDgQZ79z58/58CBA3z99dd89913pKamUqtWLTIyMrh//z6ZmZkq6atWrcrrr7/O66+/TrNmzWjZsiVNmzbFwKCM/KlLUs6Q1RLJFmG3dayM/LYIgpDfrOdx48axdetWmjZtyowZM+jVqxf169cHQJIkUlNTuX//PomJifz5559cu3aNa9euceXKFb766iuePXuGubk5vr6+tGvXjvbt2+Pu7q63ikKSJKQSNiWV9HyhcKJiEIQyQJIk5PK8gwS/+uorduzYQWBgYJ5jMpkMCwsLLCwscHJywtvbW+V4eno658+f5+TJkxw7dowFCxYwc+ZMLCwsmD9/PpMmTdLZ/eiaaErSLTFcVRDKgOzsbJU3hufPnwMwfPjwfCuFojA2NsbX15f333+f77//ngcPHnD69Gn69OnD5MmT+fHHH7VSdo3kNiWVaBPDVXVNVAyCUAZkZ2ervDHkNvWkpqZq7RqGhoZ4e3uzbt06AgIC6N+/P9evX9da/kXyb1NSibZiDnddvXo1zs7OmJiY4O7uzokTJ9SmP3bsGO7u7piYmFC7dm0+//zzPGn27NlDw4YNMTY2pmHDhuzdu1fj60qSxNy5c7G3t8fU1JS2bdvq/W1IVAyCUAYU1JS0e/duzp49q9VryeVytm/fjrW1NT169CAtLU2r+aulpTcGTe3atYvJkycza9YsoqOjadWqFQEBAcTHx+eb/saNG7z11lu0atWK6OhoZs6cyaRJk9izZ48yzenTp+nbty+DBg3i119/ZdCgQfTp04czZ85odN0lS5awbNkyVq1axdmzZ7Gzs8PPz4/Hjx9rfJ/aIioGQSgDXm5KyuXq6sq4cePIysrS6vUqV67M4sWL+e2334iNjdVq3qXB2tqa2NhYYmNjizQiadmyZYwYMYKRI0fSoEEDwsLCqFmzJmvWrMk3/eeff06tWrUICwujQYMGjBw5kuHDh7N06VJlmrCwMPz8/AgJCcHFxYWQkBA6dOhAWFhYka8rSRJhYWHMmjWLnj174urqytatW0lLS2PHjh0le0glIDqfNZCSklLiPDIzM0lLSyMlJQVDQ0MtlKpsXEtcr2SePn0K/Pc7lnutefPm0alTJ7744gt69uyp1Wt+9dVX1KpVizp16vDo0SOt5l2Qej0dcHNrVKI8rl0z5qefruHi4gLAqFGjGDVqFMbGxhgbG+dJn5GRwfnz55kxY4bKfn9/f06dOpXvNU6fPo2/v7/Kvk6dOrFx40YyMzMxNDTk9OnTTJkyJU+a3IqhKNe9ceMGiYmJKtcyNjamTZs2nDp1ijFjxhThiWifqBiKwMjICDs7O2rWrKnvogivOCsrq3z3Dxs2jGHDhunkmtbW1gDY2dlhZGSkk2sAvPvuu3z77bfcvn27RPmYmJjg4+OjbM+fNm0a06ZN44MPPmDu3Ll50t+7d4+srCyqVaumsr9atWokJibme43ExMR80z9//px79+5RvXr1AtPk5lmU6+b+N780+gyqKCqGIjAxMeHGjRtkZGTouyiCoDNGRkaYmJjoLP9u3brRrVs3reSVnp5Oenq6yr783hZe9HJTXWEr5uWX/uX9RclTW2lKk6gYisjExESnfzSCIBRdQc1G+alSpQoKhSLP20FSUlKeb+q57Ozs8k1vYGCAjY2N2jS5eRblunZ2dkDOm0P16tWLVLbSIDqfBUF4pRkZGeHu7k5kZKTK/sjISHx9ffM9x8fHJ0/6iIgIPDw8lP1LBaXJzbMo13V2dsbOzk4lTUZGBseOHSuwbKVCEgRBeMWFh4dLhoaG0saNG6XY2Fhp8uTJkrm5uXTz5k1JkiRpxowZ0qBBg5Tpr1+/LpmZmUlTpkyRYmNjpY0bN0qGhobS119/rUzzyy+/SAqFQlq0aJF0+fJladGiRZKBgYEUFRVV5OtKkiQtWrRIsrKykr755hvp4sWLUmBgoFS9enUpJSWlFJ5M/kTFIAhChfDZZ59Jjo6OkpGRkdS8eXPp2LFjymNDhgyR2rRpo5L+6NGjUrNmzSQjIyPJyclJWrNmTZ48d+/eLdWvX18yNDSUXFxcpD179mh0XUmSpOzsbOmDDz6Q7OzsJGNjY6l169bSxYsXtXPTxSSTJLGAqiAIgvAf0ccgCIIgqBAVgyAIgqCiwlcMx48fp0uXLtjb2yOTydi3b5/yWGZmJtOnT8fNzQ1zc3Ps7e0ZPHhwgUswSpJEQEBAnnzy8/jxYyZPnoyjoyOmpqb4+vrmiYmTmJhIQEAA9vb2BAUFkZ2ds8DJjBkzaNCggUray5cvI5PJGDRokMr+L774AkNDQ60GY8ulr2f3ooULFyKTyZg8ebLK/qFDhyKTyVS2l8NSX7lyhRYtWuDg4EBoaKhyf79+/QgICFBJ+8MPPyCTyZgzZ47K/nnz5mFvb1/k8mpDaT3306dP07RpUxwdHVm/fr1yv7e3N+PGjVNJu2bNGmQyGRs3blTZP2LECP2OrhGKpcJXDE+ePKFJkyasWrUqz7G0tDQuXLjAnDlzuHDhAt988w1Xr16la9eu+eYVFhZW5EkpI0eOJDIyki+++IKLFy/i7+9Px44duXPnjjLN7Nmz8fT05IcffuDmzZvs3LkTgHbt2vHHH3+ojI8+evQoNWvW5MiRIyrXOXr0KG+88QaVKlUqUrk0oa9nl+vs2bOsW7eOxo0b53v8zTffJCEhQbkdPHhQ5fj48eMZNGgQ+/fv59tvv+WXX34Bcp7vyZMnlaGvQf3zbdeunUblLqnSeu7Dhw9nzpw57Ny5k8WLFysDv7Vr1y7f51BWno+gBXrt+i5jAGnv3r1q0/zf//2fBEh//fWXyv6YmBjJwcFBSkhIKDSftLQ0SaFQSN99953K/iZNmkizZs1S/vzOO+9I4eHhUlZWlhQUFCR99tlnkiRJUmpqqmRoaCjt3LlTmbZPnz7SokWLJEtLSykuLk65v3bt2ip56kppPbtcjx8/lurWrStFRkZKbdq0kYKDg1WODxkyROrWrZvaPNzd3aWoqCgpIyND6tq1q/T9999LkiRJV65ckQDp9OnTyrRvvPGG9Nlnn0lGRkbSkydPJEmSpPT0dMnU1FRav359oeXVFV0+91q1aknXr1+XUlNTJQ8PD+n333+XJEmSDh06JAHS33//rUxbrVo1afXq1VKNGjWU++Lj4yVAioyMLNlNCqWuwr8xaCo5ORmZTMZrr72m3JeWlkZgYCCrVq1SzmRU5/nz52RlZeWZSW1qasrJkyeVP8+YMYNJkyZhbGxMdHQ0gwcPBsDc3BxPT0+Vb2fHjh2jQ4cOtGjRQrn/1q1bXL9+vcx8Y9PGs8s1fvx4OnfuTMeOHQtMc/ToUapWrUq9evUYNWoUSUlJKsdDQ0Px8/PDzMwMuVxOp06dAKhXrx729vbK5/j48WMuXLhA7969qVOnjvLNIioqiqdPn5aZ51uQ4j73//3vfzRo0AArKyu8vb2Vayy3aNECQ0NDjh49CkBsbCxPnz5l+PDhpKSkEBcXB8CRI0cwMjISTUnlkKgYNPDs2TNmzJhB//79sbS0VO6fMmUKvr6+RY4DY2FhgY+PD/PmzePvv/8mKyuL7du3c+bMGRISEpTpPDw8uHPnDrdu3eLUqVMqzUFt27bN84fZrFkz2rRpo9x/5MgR5Spe+qatZwcQHh7OhQsXWLhwYYFpAgIC+PLLL/n555/55JNPOHv2LO3bt1eJr/PWW2/xzz//8Pfff7N3714UCoXy2IvP98SJE9SrVw9bW1uV55vbfFKnTp0il720leS5jxgxgvv37/PPP/+wcuVK5f7cLyYvPoeWLVtibGxMixYtVPZ7eXlhZmamk3sTdEdUDEWUmZlJv379yM7OZvXq1cr9Bw4c4Oeff1aJwV4UX3zxBZIkUaNGDYyNjVmxYgX9+/dX+XCCnJW88vtG165dO65evcrff/+t/MNUKBR5Pri8vb0xNTXV+H61SZvP7tatWwQHB7N9+3a1sav69u1L586dcXV1pUuXLvzwww9cvXqV77//XiWdsbExtra2ec5v164dv/zyC5mZmRw9epS2bdsC5Hm+7du3L3LZS5s2nru5uTmVK1fOs79du3Yqz6E8Ph9BDX23ZZUlFNBem5GRIXXv3l1q3LixdO/ePZVjwcHBkkwmkxQKhXIDJLlcnmcmZX5SU1OVbbV9+vSR3nrrrSKVNS0tTTIyMpK+/PJLqVevXtLixYslSZKkzMxMydzcXLpy5Yrk5OQkzZ07t0j5lVRpPbu9e/dKQJ5zcvN5/vx5gWV8/fXXpUWLFhXpfq5duyYB0i+//CJ5eHhIu3btkiRJkv7++2/J0NBQ+v927t8luSgOA/h3qDTk0GREWYEQBA4tITTkYD9o6i+IHDIIGh2CG+RgsyBNTiVN/QWFBDcQhKYrtCtGYIRKJEjq8LzTK+9Re9N+aNDzgTPcI/d4z+F+ecB7PaVSCXa7HWdnZ12N910Gcc8CwPX1NUQEDw8PGB8fx+3tLQAgnU5jcnIS+XweIoKbm5vPTpEGgMHwj05F9rfAPB4Pnp6e2s4pFAq4u7vTmoggFoshm812/d3lchljY2OIx+Ndn7O8vIzd3V2tMAFgbW0Nh4eHEJG2v99/l36t3cvLS9s5i4uL2Nra+u82AsViETabDYlEous5TU9P4+DgAENDQ3h8fGz2z83NwTCMjg90+21Q92y1WoXNZoNhGFBKNQO5Xq/D4XDAMAzY7Xa8vr5+eo7Uf78+GCqVCizLgmVZEBFEo1FYloV8Po9Go4HNzU24XC5kMhkUCoVmq9Vqb47ZqVj9fj9OTk6ax1dXV7i8vEQ2m0UymcTCwgK8Xi/q9XrX1350dASlFJRSaDQazf7j42MopTA6OvqthTmotWvV+lZSpVJBKBRCOp1GLpeDaZpYWlrC1NRUTxuTbW9vQymF+fl5rT8YDEIpBbfb3fVYX6lf6/4en88HpRQ2Nja0/tXVVSil4Pf7PzI9+gF+fTCYpgkRaWuBQAC5XK7jZyIC0zTfHLNTkc3OziIcDjePLy4u4Ha7MTIygomJCezv7+P5+flD195amKlUCiKClZWVnsbr1aDWrlVrMFSrVayvr8PpdGJ4eBgzMzMIBAK4v7/vaX6np6cQEezt7Wn95+fnEBHs7Oz0NN5X6de6vyccDkNE2n6ei0QiEBFEIpEPzI5+Am6iR0REGr6VREREGgYDERFpGAxERKRhMBARkYbBQEREGgYDERFpGAxERKRhMBARkYbBQEREGgYDERFpGAxERKT5A4lueK3vZ70EAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the ratio between chlb and chla\n",
    "ba_ratio = chlb/avg_chla\n",
    "L3_utils.plot_pigments(ba_ratio, 0, 0.5, 'chlb:chla')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7bac7734-ed00-424f-aa3e-4213d65c911d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "3efe9c51-12e8-45a2-9285-63eebb85c6b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the ratio between chlc and chla\n",
    "ca_ratio = chlc/chla\n",
    "L3_utils.plot_pigments(ca_ratio, 0, 0.5, 'chlc:chla')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "2e722000-cd8c-4776-8357-f02423ad89f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the ratio between ppc and chla\n",
    "pa_ratio = ppc/chla\n",
    "L3_utils.plot_pigments(pa_ratio, 0, 0.5, 'ppc:chla')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pace",
   "language": "python",
   "name": "pace"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}