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tG{?1mqx2%#A*7XMROKTd!Zfi}e|OyE6C!245c(?sO;wc27bVNE{{fJgFx3D6 literal 0 HcmV?d00001 diff --git a/docs/gallery.yml b/docs/gallery.yml index 30439ef0..18541b27 100644 --- a/docs/gallery.yml +++ b/docs/gallery.yml @@ -1,20 +1,20 @@ -- title: A Gentle Introduction to xCDAT (Xarray Climate Data Analysis Tools) +- title: Introduction to xCDAT path: examples/introduction-to-xcdat.ipynb thumbnail: _static/xcdat-logo.png -- title: General Dataset Utilities +- title: xCDAT Utilities path: examples/general-utilities.ipynb thumbnail: _static/dataset-diagram.webp -- title: Calculate Geospatial Weighted Averages from Monthly Time Series +- title: Spatial Averaging path: examples/spatial-average.ipynb thumbnail: _static/thumbnails/spatial-avg.png -- title: Calculate Time Averages from Time Series Data +- title: Temporal Averaging path: examples/temporal-average.ipynb thumbnail: _static/thumbnails/temporal-average.png -- title: Calculate Climatology and Departures from Time Series Data +- title: Climatology and Departures path: examples/climatology-and-departures.ipynb thumbnail: _static/thumbnails/climatology-and-departures.png diff --git a/docs/getting-started-guide/index.rst b/docs/getting-started-guide/index.rst index f11a42d1..b7592267 100644 --- a/docs/getting-started-guide/index.rst +++ b/docs/getting-started-guide/index.rst @@ -4,6 +4,29 @@ Getting Started The getting started guide aims to get you using xCDAT productively as quickly as possible. +.. grid:: 1 1 2 2 + :gutter: 2 + + .. grid-item-card:: Project Overview + :img-top: ../_static/icons/dashboard.png + :link: overview + :link-type: doc + + .. grid-item-card:: Installation + :img-top: ../_static/icons/wrench.png + :link: installation + :link-type: doc + + .. grid-item-card:: xCDAT on HPC / Jupyter + :img-top: ../_static/icons/server.png + :link: getting-started-hpc-jupyter + :link-type: doc + + .. grid-item-card:: Frequently Asked Questions + :img-top: ../_static/icons/faq.png + :link: faqs + :link-type: doc + .. toctree:: :maxdepth: 2 :hidden: diff --git a/docs/index.rst b/docs/index.rst index 06c514a8..4f349ae0 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -21,34 +21,21 @@ xCDAT (Xarray Climate Data Analysis Tools) is an extension of `xarray`_ for clim :link: getting-started-guide/index :link-type: doc - New to xCDAT? Check out the getting started guides. - .. grid-item-card:: Examples :img-top: _static/icons/plot.svg :link: gallery :link-type: doc - This gallery demonstrates how to use some of the features in xCDAT through - Jupyter Notebooks with real-world examples. - .. grid-item-card:: API reference :img-top: _static/icons/wrench.svg :link: api :link-type: doc - The reference guide contains a detailed description of the xCDAT API. - The reference describes how the methods work and which parameters can - be used. It assumes that you have an understanding of key Xarray concepts. - .. grid-item-card:: Developer guide :img-top: _static/icons/book.svg :link: contributing :link-type: doc - Saw a typo in the documentation? Want to improve existing functionalities? - The contributing guidelines will guide you through the process of improving - xCDAT. - .. toctree:: :maxdepth: 2 From bade1a905227edd4f58611f9f876e5ace4129bfc Mon Sep 17 00:00:00 2001 From: Stephen Po-Chedley Date: Fri, 29 Mar 2024 13:05:26 -0700 Subject: [PATCH 2/6] update spatial averaging notebook --- docs/examples/spatial-average.ipynb | 1316 ++++++++------------------- 1 file changed, 365 insertions(+), 951 deletions(-) diff --git a/docs/examples/spatial-average.ipynb b/docs/examples/spatial-average.ipynb index 04e468c6..990e37ad 100644 --- a/docs/examples/spatial-average.ipynb +++ b/docs/examples/spatial-average.ipynb @@ -4,20 +4,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Calculate Geospatial Weighted Averages from Monthly Time Series\n", + "Spatial Averaging\n", + "===============================================================\n", "\n", - "Authors:\n", + "Authors: [Tom Vo](https://github.com/tomvothecoder/) & [Stephen Po-Chedley](https://github.com/pochedls/)\n", "\n", - "- [Tom Vo](https://github.com/tomvothecoder/)\n", - "- [Stephen Po-Chedley](https://github.com/pochedls/)\n", + "Updated: 02/29/24 [xcdat v0.6.1]\n", "\n", - "Date: 05/27/22\n", - "\n", - "Related APIs:\n", - "\n", - "- [xarray.Dataset.spatial.average()](../generated/xarray.Dataset.spatial.average.rst)\n", - "\n", - "The data used in this example can be found through the [Earth System Grid Federation (ESGF) search portal](https://aims2.llnl.gov/metagrid/search).\n" + "Related APIs: [xarray.Dataset.spatial.average()](../generated/xarray.Dataset.spatial.average.rst) & [xarray.Dataset.spatial.get_weights()](../generated/xcdat.spatial.SpatialAccessor.rst#xcdat.spatial.SpatialAccessor.get_weights)" ] }, { @@ -28,42 +22,15 @@ "\n", "A common data reduction in geophysical sciences is to produce spatial averages. Spatial averaging functionality in xcdat allows users to quickly produce area-weighted spatial averages for selected regions (or full dataset domains).\n", "\n", - "In the example below, we demonstrate the opening of a (remote) dataset and spatial averaging over the global, tropical, and Niño 3.4 domains.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Notebook Setup\n", - "\n", - "Create an Anaconda environment for this notebook using the command below, then select the\n", - "kernel in Jupyter.\n", + "In the example below, we demonstrate the opening of a (remote) dataset and spatial averaging over the global, tropical, and Niño 3.4 domains.\n", "\n", - "```bash\n", - "conda create -n xcdat_notebook -c conda-forge python xarray netcdf4 xcdat xesmf matplotlib nc-time-axis jupyter\n", - "```\n", + "The data used in this example is pulled directly from the [Earth System Grid Federation (ESGF)](https://aims2.llnl.gov/metagrid/search).\n", "\n", - "- `xesmf` is required for horizontal regridding with xESMF\n", - "- `matplotlib` is an optional dependency required for plotting with xarray\n", - "- `nc-time-axis` is an optional dependency required for `matplotlib` to plot `cftime` coordinates\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "ExecuteTime": { - "end_time": "2018-11-28T20:51:35.958210Z", - "start_time": "2018-11-28T20:51:35.936966Z" - } - }, - "outputs": [], - "source": [ - "%matplotlib inline\n", + "Users can [install their own instance of xcdat](../getting-started-guide/installation.rst) and follow these examples using their own environment (e.g., with vscode, Jupyter, Spyder, iPython) or [enable xcdat with existing JupyterHub instances](../getting-started-guide/getting-started-hpc-jupyter.rst). The conda environment used in this notebook includes xcdat, xesmf, matplotlib, ipython, ipykernel, and cartopy:\n", "\n", - "import matplotlib.pyplot as plt\n", - "import xcdat\n" + "```\n", + "conda create -n xcdat_notebook -c conda-forge xcdat xesmf matplotlib ipython ipykernel cartopy nc-time-axis\n", + "```" ] }, { @@ -79,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2018-11-28T20:51:36.072316Z", @@ -351,6 +318,11 @@ " 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", @@ -372,14 +344,16 @@ "}\n", "\n", ".xr-var-attrs,\n", - ".xr-var-data {\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-var-data-in:checked ~ .xr-var-data,\n", + ".xr-index-data-in:checked ~ .xr-index-data {\n", " display: block;\n", "}\n", "\n", @@ -389,13 +363,16 @@ "\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-var-data,\n", + ".xr-index-data {\n", " grid-column: 1 / -1;\n", "}\n", "\n", @@ -433,7 +410,8 @@ "}\n", "\n", ".xr-icon-database,\n", - ".xr-icon-file-text2 {\n", + ".xr-icon-file-text2,\n", + ".xr-no-icon {\n", " display: inline-block;\n", " vertical-align: middle;\n", " width: 1em;\n", @@ -442,19 +420,19 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
<xarray.Dataset>\n",
+       "
<xarray.Dataset> Size: 221MB\n",
        "Dimensions:    (time: 1980, bnds: 2, lat: 145, lon: 192)\n",
        "Coordinates:\n",
-       "  * time       (time) datetime64[ns] 1850-01-16T12:00:00 ... 2014-12-16T12:00:00\n",
-       "  * lat        (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
-       "  * lon        (lon) float64 0.0 1.875 3.75 5.625 ... 352.5 354.4 356.2 358.1\n",
-       "    height     float64 2.0\n",
+       "  * lat        (lat) float64 1kB -90.0 -88.75 -87.5 -86.25 ... 87.5 88.75 90.0\n",
+       "  * lon        (lon) float64 2kB 0.0 1.875 3.75 5.625 ... 354.4 356.2 358.1\n",
+       "    height     float64 8B 2.0\n",
+       "  * time       (time) object 16kB 1850-01-16 12:00:00 ... 2014-12-16 12:00:00\n",
        "Dimensions without coordinates: bnds\n",
        "Data variables:\n",
-       "    time_bnds  (time, bnds) datetime64[ns] 1850-01-01 1850-02-01 ... 2015-01-01\n",
-       "    lat_bnds   (lat, bnds) float64 -90.0 -89.38 -89.38 ... 89.38 89.38 90.0\n",
-       "    lon_bnds   (lon, bnds) float64 -0.9375 0.9375 0.9375 ... 357.2 357.2 359.1\n",
-       "    tas        (time, lat, lon) float32 -27.19 -27.19 -27.19 ... -25.29 -25.29\n",
+       "    time_bnds  (time, bnds) object 32kB ...\n",
+       "    lat_bnds   (lat, bnds) float64 2kB ...\n",
+       "    lon_bnds   (lon, bnds) float64 3kB ...\n",
+       "    tas        (time, lat, lon) float32 220MB -27.19 -27.19 ... -25.29 -25.29\n",
        "Attributes: (12/48)\n",
        "    Conventions:                     CF-1.7 CMIP-6.2\n",
        "    activity_id:                     CMIP\n",
@@ -468,10 +446,7 @@
        "    license:                         CMIP6 model data produced by CSIRO is li...\n",
        "    cmor_version:                    3.4.0\n",
        "    tracking_id:                     hdl:21.14100/af78ae5e-f3a6-4e99-8cfe-5f2...\n",
-       "    DODS_EXTRA.Unlimited_Dimension:  time
    • lat
      PandasIndex
      PandasIndex(Index([ -90.0, -88.75,  -87.5, -86.25,  -85.0, -83.75,  -82.5, -81.25,  -80.0,\n",
+       "       -78.75,\n",
+       "       ...\n",
+       "        78.75,   80.0,  81.25,   82.5,  83.75,   85.0,  86.25,   87.5,  88.75,\n",
+       "         90.0],\n",
+       "      dtype='float64', name='lat', length=145))
    • lon
      PandasIndex
      PandasIndex(Index([    0.0,   1.875,    3.75,   5.625,     7.5,   9.375,   11.25,  13.125,\n",
+       "          15.0,  16.875,\n",
+       "       ...\n",
+       "        341.25, 343.125,   345.0, 346.875,  348.75, 350.625,   352.5, 354.375,\n",
+       "        356.25, 358.125],\n",
+       "      dtype='float64', name='lon', length=192))
    • time
      PandasIndex
      PandasIndex(CFTimeIndex([1850-01-16 12:00:00, 1850-02-15 00:00:00, 1850-03-16 12:00:00,\n",
+       "             1850-04-16 00:00:00, 1850-05-16 12:00:00, 1850-06-16 00:00:00,\n",
+       "             1850-07-16 12:00:00, 1850-08-16 12:00:00, 1850-09-16 00:00:00,\n",
+       "             1850-10-16 12:00:00,\n",
+       "             ...\n",
+       "             2014-03-16 12:00:00, 2014-04-16 00:00:00, 2014-05-16 12:00:00,\n",
+       "             2014-06-16 00:00:00, 2014-07-16 12:00:00, 2014-08-16 12:00:00,\n",
+       "             2014-09-16 00:00:00, 2014-10-16 12:00:00, 2014-11-16 00:00:00,\n",
+       "             2014-12-16 12:00:00],\n",
+       "            dtype='object',\n",
+       "            length=1980,\n",
+       "            calendar='proleptic_gregorian',\n",
+       "            freq=None))
  • Conventions :
    CF-1.7 CMIP-6.2
    activity_id :
    CMIP
    branch_method :
    standard
    branch_time_in_child :
    0.0
    branch_time_in_parent :
    87658.0
    creation_date :
    2020-06-05T04:06:11Z
    data_specs_version :
    01.00.30
    experiment :
    all-forcing simulation of the recent past
    experiment_id :
    historical
    external_variables :
    areacella
    forcing_index :
    1
    frequency :
    mon
    further_info_url :
    https://furtherinfo.es-doc.org/CMIP6.CSIRO.ACCESS-ESM1-5.historical.none.r10i1p1f1
    grid :
    native atmosphere N96 grid (145x192 latxlon)
    grid_label :
    gn
    history :
    2020-06-05T04:06:11Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.
    initialization_index :
    1
    institution :
    Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia
    institution_id :
    CSIRO
    mip_era :
    CMIP6
    nominal_resolution :
    250 km
    notes :
    Exp: ESM-historical; Local ID: HI-14; Variable: tas (['fld_s03i236'])
    parent_activity_id :
    CMIP
    parent_experiment_id :
    piControl
    parent_mip_era :
    CMIP6
    parent_source_id :
    ACCESS-ESM1-5
    parent_time_units :
    days since 0101-1-1
    parent_variant_label :
    r1i1p1f1
    physics_index :
    1
    product :
    model-output
    realization_index :
    10
    realm :
    atmos
    run_variant :
    forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)
    source :
    ACCESS-ESM1.5 (2019): \n", "aerosol: CLASSIC (v1.0)\n", "atmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m)\n", "atmosChem: none\n", @@ -580,19 +565,19 @@ "seaIce: CICE4.1 (same grid as ocean)
    source_id :
    ACCESS-ESM1-5
    source_type :
    AOGCM
    sub_experiment :
    none
    sub_experiment_id :
    none
    table_id :
    Amon
    table_info :
    Creation Date:(30 April 2019) MD5:5bd755e94c2173cb3050a0f3480f60c4
    title :
    ACCESS-ESM1-5 output prepared for CMIP6
    variable_id :
    tas
    variant_label :
    r10i1p1f1
    version :
    v20200605
    license :
    CMIP6 model data produced by CSIRO is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.
    cmor_version :
    3.4.0
    tracking_id :
    hdl:21.14100/af78ae5e-f3a6-4e99-8cfe-5f29eb467cd1
    DODS_EXTRA.Unlimited_Dimension :
    time
    • " ], "text/plain": [ - "\n", + " Size: 221MB\n", "Dimensions: (time: 1980, bnds: 2, lat: 145, lon: 192)\n", "Coordinates:\n", - " * time (time) datetime64[ns] 1850-01-16T12:00:00 ... 2014-12-16T12:00:00\n", - " * lat (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n", - " * lon (lon) float64 0.0 1.875 3.75 5.625 ... 352.5 354.4 356.2 358.1\n", - " height float64 2.0\n", + " * lat (lat) float64 1kB -90.0 -88.75 -87.5 -86.25 ... 87.5 88.75 90.0\n", + " * lon (lon) float64 2kB 0.0 1.875 3.75 5.625 ... 354.4 356.2 358.1\n", + " height float64 8B 2.0\n", + " * time (time) object 16kB 1850-01-16 12:00:00 ... 2014-12-16 12:00:00\n", "Dimensions without coordinates: bnds\n", "Data variables:\n", - " time_bnds (time, bnds) datetime64[ns] ...\n", - " lat_bnds (lat, bnds) float64 ...\n", - " lon_bnds (lon, bnds) float64 ...\n", - " tas (time, lat, lon) float32 -27.19 -27.19 -27.19 ... -25.29 -25.29\n", + " time_bnds (time, bnds) object 32kB ...\n", + " lat_bnds (lat, bnds) float64 2kB ...\n", + " lon_bnds (lon, bnds) float64 3kB ...\n", + " tas (time, lat, lon) float32 220MB -27.19 -27.19 ... -25.29 -25.29\n", "Attributes: (12/48)\n", " Conventions: CF-1.7 CMIP-6.2\n", " activity_id: CMIP\n", @@ -609,14 +594,24 @@ " DODS_EXTRA.Unlimited_Dimension: time" ] }, - "execution_count": 2, + "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# parameters\n", + "import xcdat as xc\n", + "import xarray as xr\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import cartopy.crs as ccrs\n", + "\n", + "# specify file\n", "filepath = \"https://esgf-data1.llnl.gov/thredds/dodsC/css03_data/CMIP6/CMIP/CSIRO/ACCESS-ESM1-5/historical/r10i1p1f1/Amon/tas/gn/v20200605/tas_Amon_ACCESS-ESM1-5_historical_r10i1p1f1_gn_185001-201412.nc\"\n", - "ds = xcdat.open_dataset(filepath)\n", + "\n", + "# open dataset\n", + "ds = xc.open_dataset(filepath)\n", "\n", "# Unit adjust (-273.15, K to C)\n", "ds[\"tas\"] = ds.tas - 273.15\n", @@ -628,21 +623,22 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 2. Global\n" + "## 2. Global average" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ + "# if you do not specify lat_bounds or lon_bounds, the averager will calculate the domain mean\n", "ds_global_avg = ds.spatial.average(\"tas\")" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -909,6 +905,11 @@ " 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", @@ -930,14 +931,16 @@ "}\n", "\n", ".xr-var-attrs,\n", - ".xr-var-data {\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-var-data-in:checked ~ .xr-var-data,\n", + ".xr-index-data-in:checked ~ .xr-index-data {\n", " display: block;\n", "}\n", "\n", @@ -947,13 +950,16 @@ "\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-var-data,\n", + ".xr-index-data {\n", " grid-column: 1 / -1;\n", "}\n", "\n", @@ -991,7 +997,8 @@ "}\n", "\n", ".xr-icon-database,\n", - ".xr-icon-file-text2 {\n", + ".xr-icon-file-text2,\n", + ".xr-no-icon {\n", " display: inline-block;\n", " vertical-align: middle;\n", " width: 1em;\n", @@ -1000,27 +1007,43 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
    <xarray.DataArray 'tas' (time: 1980)>\n",
+       "
    <xarray.DataArray 'tas' (time: 1980)> Size: 16kB\n",
        "array([12.52127071, 13.09115223, 13.60703132, ..., 15.5767848 ,\n",
        "       14.65664621, 13.84951678])\n",
        "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 1850-01-16T12:00:00 ... 2014-12-16T12:00:00\n",
-       "    height   float64 2.0
    "
+       "    height   float64 8B 2.0\n",
+       "  * time     (time) object 16kB 1850-01-16 12:00:00 ... 2014-12-16 12:00:00
    " ], "text/plain": [ - "\n", + " Size: 16kB\n", "array([12.52127071, 13.09115223, 13.60703132, ..., 15.5767848 ,\n", " 14.65664621, 13.84951678])\n", "Coordinates:\n", - " * time (time) datetime64[ns] 1850-01-16T12:00:00 ... 2014-12-16T12:00:00\n", - " height float64 2.0" + " height float64 8B 2.0\n", + " * time (time) object 16kB 1850-01-16 12:00:00 ... 2014-12-16 12:00:00" ] }, - "execution_count": 4, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -1031,882 +1054,205 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "Text(0, 0.5, 'Near Surface Air Temperature [$^{\\\\circ}$C]')" ] }, - "execution_count": 5, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "# Plot the first 100 time steps\n", - "ds_global_avg.tas.isel(time=slice(0, 100)).plot()" + "# Plot the first 120 time steps\n", + "ds_global_avg.tas.isel(time=slice(0, 120)).plot()\n", + "plt.title('Global Average Surface Temperature')\n", + "plt.xlabel('Year')\n", + "plt.ylabel('Near Surface Air Temperature [$^{\\\\circ}$C]')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## 3. Tropical Region\n" + "## 3. Tropical average" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "ds_trop_avg = ds.spatial.average(\"tas\", lat_bounds=(-25, 25))" ] }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Near Surface Air Temperature [$^{\\\\circ}$C]')" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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UVVWlZJtKS0vh9/tT9FBqjGjBunXrhttuuw2rVq3Cli1bcN5559FsR7rPVaaLGI8uasWKFThw4ABWrVpFs0sAUF9fn/I8lmOpuLgYTqcTV111FW666SbN5/Tr1495bWrIvpw3b15Kg4CaQYMGGdp2JrJ959xuN/f71fpsXnrpJUyYMAHPPPNMyuNNTU3Ma/X5fJo+aKzHSHt+doL2QQRNgmOKc845B/Pnz8fnn3+O0047jT7+wgsvQJIkTJw4MeX5b775Jh577DF6AW1qasK//vUvjBs3Dk6nU/M1xowZg8LCQixcuBCXX3655glbkiTIstzGs+fZZ5/NWPbLxuLFi5Gfn4+33norpQsMSHQ//epXv8LLL7+M2bNn0xP1k08+iTVr1uDTTz/F//3f/6X8zQUXXIDXXnsNsVgMo0aNMrQm8t7V71OWZSxatCjleaNGjYLX68Xrr7+ecnFet24dvv/++5Sg6YILLsAjjzyCbt26cV9QIpEIGhsbaZCmhpRkSNaRvOamTZswefJk+ry3336b6zW10NovANp8BgMHDsSAAQPw3HPPYc6cOZoeTzk5OZg4cSI2btyIk046iWZ2rGDQoEE44YQT8OWXX+KRRx6xbLt6ZPvOWfV+JUlqsz83bdqEtWvXok+fPvQx8hyt7FPfvn1RXV2NQ4cO0YxoOBzGsmXLmNbQnp+doH0QQZPgmOL222/HCy+8gPPPPx8PPPAAKisr8c477+Dpp5/GL37xizaaHKfTiR/84AeYM2cO4vE4Hn30UTQ2NtJ2ei3y8vLw+OOP47rrrsO5556L66+/Ht27d8fOnTvx5Zdf4qmnnkJBQQHGjx+Pxx57DKWlpejbty9Wr16NxYsXG3KM3rJlCzZs2IBf/OIXbXRcAPD//t//w+OPP47Fixdj9uzZABIlukcffRQ//vGP4ff723g5XX755Xj55Zdx3nnn4dZbb8UZZ5wBt9uNffv2YeXKlbj44osxbdo03XX94Ac/gMfjwRVXXIE77rgDwWAQzzzzDI4cOZLyvJKSEsyZMwfz589HcXExpk2bhn379uE3v/kNKioqUoLA2267DW+88QbGjx+P22+/HSeddBLi8Tj27NmD9957D7/85S8zBnkNDQ3o27cvfvSjH+Hcc89Fnz59EAgEsGrVKvz+97/HkCFDaNDWo0cPnHvuuXRNlZWV+OCDD2gJzQxjxoxBcXExfv7zn+O+++6D2+3Gyy+/jC+//LLNc//0pz/hwgsvxJlnnonbb78dxx13HPbs2YNly5bh5ZdfBgD8/ve/x9ixYzFu3Dj84he/QN++fdHU1ISdO3fiX//6VxutHg//93//h6lTp2Ly5MmYNWsWevXqhbq6OmzduhWff/45/va3vxnethYs3zkr3u8FF1yABx98EPfddx/OOussbNu2DQ888AD69euHaDRKn5efn4/Kykr885//xDnnnIOSkhL6nZ0xYwbuvfdeXH755fjVr36FYDCIP/zhD1w3Pu352QnagQ6VoQsEFpCpe+7EE0/UfP73338v//jHP5a7desmu91uedCgQfJjjz1Gu4BkWenkefTRR+Xf/OY3cu/evWWPxyOfeuqp8rJly1K2l949R3j33Xfls846S87NzZVzcnLkoUOHyo8++ij9/b59++Qf/vCHcnFxsZyfny9PmTJF3rJli1xZWSlfffXV9Hks3XO33XabDED+4osvMj6HdA5+9tln9LExY8bIAOSf/OQnmn8TiUTk3/72t/LJJ58s+3w+OS8vTx48eLB8ww03yDt27KDPq6yslM8//3zNbfzrX/+if9+rVy/5V7/6lfyf//ynzXuKx+PyQw89RPf1SSedJP/73/+WTz755JRuJlmW5UAgIN99993yoEGDZI/HIxcWFsrDhw+Xb7/9drmqqirjPgiFQvJvf/tbeerUqfJxxx0ne71e2efzyUOGDJHvuOMOuba2NuX5Bw8elC+99FK5pKRELiwslK+88kr5008/1eyeSz8GCZm65z7++GN59OjRck5OjlxWViZfd9118ueff95m27Kc6CKcOnWqXFhYKHu9XnnAgAHy7bffnvKcXbt2yddcc43cq1cv2e12y2VlZfKYMWPkhx56KOP+SEere06WZfnLL7+UL7vsMrm8vFx2u91yjx495LPPPlteuHAhfQ75HqR3NWZ6/+n7jOc7x/p+yXfnb3/7W5u/D4VC8ty5c+VevXrJPp9PPu200+S33npLsyPu/fffl0899VTZ6/XKAFK+n++++658yimnyH6/X+7fv7/81FNPZeyeu+mmm9qsg/W9COyBJMsmWkUEgi7K7t270a9fPzz22GOYO3duRy/nmGXXrl0YPHgw7rvvPvz617/u6OUI2hHxnRN0BkR5TiAQ2IIvv/wSr776KsaMGYOCggJs27YNCxYsQEFBAa699tqOXp5AIBCIoEkgENiD3NxcfPrpp1i8eDHq6+tRWFiICRMm4OGHH9a0IhAIBIKjjSjPCQQCgUAgEDAgzC0FAoFAIBAIGBBBk0AgEAgEAgEDImgSCAQCgUAgYEAIwS0iHo/jwIEDyM/P5xqnIBAIBAKBoOOQZRlNTU3o2bNnm2kK6YigySIOHDiQYr0vEAgEAoGg87B3796sg9ZF0GQRZHjp3r17mSedCwQCgUAg6FgaGxvRp0+fNkPItRBBk0WQklxBQYEImgQCgUAg6GSwSGuEEFwgEAgEAoGAARE0CQQCgUAgEDAggiaBQCAQCAQCBkTQJBAIBAKBQMCACJoEAoFAIBAIGBBBk0AgEAgEAgEDImgSCAQCgUAgYEAETQKBQCAQCAQMiKBJIBAIBAKBgAERNAkEAoFAIBAwIIImgUAgEAgEAgZE0CQQCAQCgUDAgAiaBAKBQCAQMBGPywhGYh29jA5DBE0CgUAgEAiYuOGlz3DGw++jNhDq6KV0CCJoEggEAoFAwMSGXXVoDEbx+Z76jl5KhyCCJoFAIBAIBFmJxWU0BiMAgB3VTR28mo5BBE0CgUAgEAiy0tgagSwn/r+zOtCxi+kgRNAkEAgEAoEgK0dawvT/34qgSSAQCAQCgUCb+tYI/f/O6gBkknY6hhBBk0AgEAgEgqzUqzJNzeEYDjYEO3A1HYMImgQCgUAgEGTlSHMk5edjUdckgiaBQCAQCARZUZfnABE0CQQCgUAgEGiiLs8BwM7DImgSCAQCgUAgaEN9SyLTdFxJDgBg5yERNAkEAoFAIBC0gVgOjOhbDEBkmgQCgUAgEAg0IZmm0ysTQVNdcxh1zWG9P+lyiKBJIBAIBAJBVupbEwFSz0I/ehX5ARx7YnARNAkEAoFAIMgKsRwoynHj+PI8ACJoEggEAoFAIGhDQysJmjw4IRk0HWuDe0XQJBAIBAKBQJdwNI5AKAoAKBaZJkFXoTUcQyga6+hlCAQCgaALQfRMkgQU+JSg6Vgb3CuCpi5EXXMYZzz8Pq5/4bOOXopAIBAIuhANyc65Qr8bDodEg6YDDUGagToWsFXQNH/+fIwcORL5+fkoLy/HJZdcgm3btrV53tatW3HRRRehsLAQ+fn5OPPMM7Fnz56M2120aBHGjRuH4uJiFBcX49xzz8WGDRtSnnP//fdDkqSUfz169LD8PbYn2w81oSkUxYfbD2PfkZaOXo5AIBAIughHkkFTcY4HQELXVJrnBXBsZZtsFTStXr0aN910E9atW4fly5cjGo1i0qRJaG5ups/59ttvMXbsWAwePBirVq3Cl19+iXvuuQc+ny/jdletWoUrrrgCK1euxNq1a3Hcccdh0qRJ2L9/f8rzTjzxRBw8eJD+27x5c7u91/agQTUX6IOt1R24EoFAIBB0JYixZaHfTR87vjwXwLGla3J19ALULF26NOXnJUuWoLy8HJ999hnGjx8PALjrrrtw3nnnYcGCBfR5/fv3193uyy+/nPLzokWL8Pe//x0ffPABZs6cSR93uVydLrukRh00vb/1EK4e07fjFiMQCASCLkMDzTSpg6Y8rPuu7phyBrdVpimdhoYGAEBJSQkAIB6P45133sHAgQMxefJklJeXY9SoUXjrrbe4ttvS0oJIJEK3S9ixYwd69uyJfv364fLLL8d3332XcRuhUAiNjY0p/zqaRlXQtO67WjQFIzrPFggEAoGADZJpIuU5ADi+7NjroLNt0CTLMubMmYOxY8di2LBhAIDq6moEAgH87//+L6ZMmYL33nsP06ZNw/Tp07F69Wrmbd95553o1asXzj33XPrYqFGj8MILL2DZsmVYtGgRqqqqMGbMGNTW1mpuY/78+SgsLKT/+vTpY+4NW4A60xSJyVizo6YDVyMQCASCrkJ98vpSmJJpygdwbGmabFWeUzN79mxs2rQJH330EX0sHo8DAC6++GLcfvvtAIBTTjkFH3/8MRYuXIizzjor63YXLFiAV199FatWrUrRQU2dOpX+f/jw4Rg9ejQGDBiA559/HnPmzGmznXnz5qU83tjY2OGBEwmaXA4J0biM97cewnnDKzp0TQKBQCDo/NRrZZqSHXS7a5sRjcXhcto2D2MZtnyHN998M95++22sXLkSvXv3po+XlpbC5XJh6NChKc8fMmSIbvcc4be//S0eeeQRvPfeezjppJN0n5ubm4vhw4djx44dmr/3er0oKChI+dfRkGGKEweXAwBWflONWFzuyCUJBAKBoAtARqioNU3l+V64HBLiMnA4EOqopR1VbBU0ybKM2bNn480338SKFSvQr1+/lN97PB6MHDmyjQ3B9u3bUVlZqbvtxx57DA8++CCWLl2KESNGZF1LKBTC1q1bUVHReTI1JNN0zuByFPrdONISwed7jnTwqgQCgUDQ2SHmloWqTJPDIaE8P2E7UNUQ7JB1HW1sFTTddNNNeOmll/DKK68gPz8fVVVVqKqqQmtrK33Or371K7z++utYtGgRdu7ciaeeegr/+te/cOONN9LnzJw5E/PmzaM/L1iwAHfffTeee+459O3bl243EFDqsHPnzsXq1auxa9curF+/HpdeeikaGxtx9dVXH503bwEkaCrJ9WDCoDIAiS46gUAgEAjMUK/RPQcA5QUJmcuhRhE0HXWeeeYZNDQ0YMKECaioqKD/Xn/9dfqcadOmYeHChViwYAGGDx+OZ599Fm+88QbGjh1Ln7Nnzx4cPHiQ/vz0008jHA7j0ksvTdnub3/7W/qcffv24YorrsCgQYMwffp0eDwerFu3LmsGy06Q7rlCvxvnDOkOQPg1CQQCgcA8JGgq8ntSHu9Bg6ZjozxnKyG4LLPpb6655hpcc801GX+/atWqlJ93796ddZuvvfYa02vbmQZVd8PgigK4HBJ2Vgewu6YZfUtzO3h1AoFAIOisEMuBorRMU4/CRNBUJTJNgs6ELMtK0OR3o9Dvxhn9Ej5UokQnEAgEAqMkBsEnuteLc1MzTd1JpklomgSdiZZwDNFkpxyxuSe6pk93CzG4QCAQCIxBROAuh4RcjzPldz0Kk0JwkWkSdCZIlsntlOB3Jw7qsmRXw7E0gVogEAgE1kLsBopyPJAkKeV3JNMkgiZBp0JdmiMHNQmeWiOxDluXQCAQCDo3JNOUrmcClKCp+hgRgougqYtAgqYC1QRqvyeh828Ji6BJIBAIBMbIZDcAKN1zgVD0mKhqiKCpi0AO6kJV0JSTrD23hrv+gSwQCASC9kHpnPO0+V2u14V8b+IG/VgwuBRBUxdB7dFEIOU5kWkSCAQCgVEUj6a2mSYA6F547BhciqCpi9CgETQpmSYRNAkEAoHAGHRYb27bTBOglOhEpknQaSBBU1GKpkkIwQUCgUBgjiMk06ShaQKA8oJjx3ZABE1dBM1MkztRZ47GZYSTxmQCgUAgEPCQaYQKoQftoBNBk6CToN09p5iQiRKdQCAQCIxAy3MZMk3H0igVETR1EbQyTR6XAy5HwrOpJSI66AQCgUDAT71qrqkWisFl1/dqEkFTF0EraAKUbJPooBMIBAKBEZRMk3557liYPyeCpi6CluUAoHIFF0GTQCAQCDiRZVllbpkhaEqW5w4HQoglZ6B2VUTQ1EVoyJA+zREddAKBQCAwSCAUpcPgM3XPdcv1wCEBsbiMmkDXLtGJoKkLIMuyUnNuU54To1QEAoFAYAySZfK5HfC5nZrPcTkddEB8Vze4FEFTF6A5HKMp0fSgSYxSEQgExxqyLHf5MtHRIltpjnCsGFyKoKkLQEpzbqdENUyEHCEEFwgExxDfHQ5g8pMfYtLvViMSE/50ZiFz59JvyNMhHXRdPdPk6ugFCMzToBrWK0lSyu98Yv6cQCA4Rtiwqw4/e/FTmh2pagiiT0lOB6+qc3MkS+cc4VjxahJBUxdAy9iSQDJNQSEEFwgEXZi3Nu7HHX/fhLAquxQICVmCWeiIrgwicAL1amro2kJwrqDp7bff5n6BH/zgB/D7/dx/J2BHa+4cQZTnBAJBV+fVDXsw783NAICpw3pg074G7K9vFUGTBRxpJkGTfqZJlOc0uOSSS7g2LkkSduzYgf79+3P9nYCPTB5NAOB3i+45gUDQtXn+490AgFlj+uLeC4bikqf/mwiagiJoMkt9q/4IFUKPYyRo4haCV1VVIR6PM/3LyRG15KNBJjdwQHTPCQSCrs/hpkRJaMbIPnA4JOR5EzeLTSLTZBo6rDdb0FSYsBzo6pomrqDp6quv5iq1XXnllSgoKOBelIAPvaBJjFERCARdmUgsjtrmRDaEeAWRoElkmszTFExqZn1smqamYBQtXfgmnas8t2TJEq6NP/PMM1zPFxhDN2hyC0dwgUDQdakNJAImp0NCSVJ3k+dLBk2hSIetq6tArh3kBjwT+T43cj1ONIdjqGoIon9Z3tFY3lFH+DR1AeoZuufE7DmBQNAVqW5KlINK8zxwOBKWK/mkPCcyTaYhVYp0D0Atuh8DtgPcQdOKFSswdOhQNDY2tvldQ0MDTjzxRKxZs8aSxQnYEOU5gUBwrEL0TOX5PvoYyTTZPWha/10t6pM+SHaF3HDneLIXpronP4Pqxq5rO8AdND355JO4/vrrNbVKhYWFuOGGG/DEE09YsjgBG/pC8GT3nCjPCQSCLkh1MmgieiYAyPMmzoV2thzYsKsOM/68Dre//kVHL0UXpTyXPVw4FgwuuYOmL7/8ElOmTMn4+0mTJuGzzz4ztSgBH3qWA6J7TiAQdGWUTJMqaPLZXwi+o7oJALB6+2EcabZvtolkmjIN61XT/RiYP8cdNB06dAhud2YVvcvlwuHDh00tSsAHzTRptIT6hBBcIBB0YYimSZ1pIpomO2eaSKAUl4EV31R38GoyQ64dLOW5HgWJz6ArezVxB029evXC5s2bM/5+06ZNqKioMLUoATuyLDP6NImgSSAQdD20Mk35Pvv7NB1pUTr7ln99qANXok8rhxCclOdE0KTivPPOw7333otgsO1OaW1txX333YcLLrjAksUJstMcjiEWlwHoB01CCC4QCLoi2pomUp6zr+WAuiT34Y7DtpwPGonFEU1eX1iCJtLB3WjjsqhZuAf23n333XjzzTcxcOBAzJ49G4MGDYIkSdi6dSv+9Kc/IRaL4a677mqPtQo0IFkmt1PSPKhJ91xrJAZZliFJ0lFdn0AgELQnh2nQ1LZ7zs7luTpV11xLOIaPv63B2YO7d+CK2qKWdWTzaQKUYLXFxvvdLNxBU/fu3fHxxx/jF7/4BebNmwdZTkShkiRh8uTJePrpp9G9u70++K5MQwspzXk0AyJSh5ZlIBiJMx34AoFA0BmQZZlmmlLKc6R7zsYZD5Jp6l3sx74jrXjvq0P2C5qSFQqnQ4Lbmf2Gm1xvmrtwZYM7aAKAyspKvPvuuzhy5Ah27twJWZZxwgknoLi42Or1CbJAhikW+rU/SnX2qTUSE0GTQCDoMjQGowhH4wDSynM+5eIdi8twOuyXYSeaph+d3ge/e3873t9ajXhcpgaddkCtZ2KpUuR6E9eX5lC0y1Y2TDmCFxcXY+TIkTjjjDMsCZjmz5+PkSNHIj8/H+Xl5bjkkkuwbdu2Ns/bunUrLrroIhQWFiI/Px9nnnkm9uzZo7vtN954A0OHDoXX68XQoUPxj3/8o81znn76afTr1w8+nw+nn356pzDp1LMbABJ3CB5X4mPuyvOABALBscfhZOdcvs+V0hJPLt6AfUt0JNM0ZVgP5PtcqAmEsHFvfccuKg3qBs54s52bLM9F4zLCsXi7rasjsdUYldWrV+Omm27CunXrsHz5ckSjUUyaNAnNzc30Od9++y3Gjh2LwYMHY9WqVfjyyy9xzz33wOfzZdzu2rVrMWPGDFx11VX48ssvcdVVV+Gyyy7D+vXr6XNef/113HbbbbjrrruwceNGjBs3DlOnTs0ajHU0ep1zBNFBJxAIuiJapTkA8Lqc9GbRjkFTOBqnnX3dC7yYOKgcgP266KixJYMIHAByVM9rCXXN6w1X0BSNRvHcc89h8eLFiESs70pYunQpZs2ahRNPPBEnn3wylixZgj179qSYZd51110477zzsGDBApx66qno378/zj//fJSXl2fc7pNPPokf/OAHmDdvHgYPHox58+bhnHPOwZNPPkmf88QTT+Daa6/FddddhyFDhuDJJ59Enz59bD90mClocosOOkHXYeOeIxi/YCWWbqnq6KUIOpjDGp1zBOrVZENdExmd4pCAAp8bPxia0DIt/9pex3SQejSxBU0upwPeZLDa3EUrG1xB069//Wt069YNRUVFuPPOO9trTZSGhgYAQElJCQAgHo/jnXfewcCBAzF58mSUl5dj1KhReOutt3S3s3btWkyaNCnlscmTJ+Pjjz8GAITDYXz22WdtnjNp0iT6nHRCoRAaGxtT/nUELEGTmD/XPjSHotTuQXD0+Oun+7CnrgXvfWWvC4zg6KPVOUdQOujsZztA9EzFOYkhwxMGlcHtlPDt4WZ8ezjQwatTaOFwAyeQEl2zyDQlgpaWlhZEo1HE4+1br5RlGXPmzMHYsWMxbNgwAEB1dTUCgQD+93//F1OmTMF7772HadOmYfr06Vi9enXGbVVVVbXp6OvevTuqqhIn3ZqaGsRiMd3npDN//nwUFhbSf3369DHzdg3DEzTZ0Qeks9LQGsHo+R/gqsXrsz9ZYCkbdtUCEDcBgszlOUBpf7fj0N66pJ6pKDnFId/nxpn9uwEAPthqnxIdb3kOUInBRaYpESjEYjGEw2E8+uij7bUmAMDs2bOxadMmvPrqq/QxEqhdfPHFuP3223HKKafgzjvvxAUXXICFCxfqbi9dxa+l7Gd5DmHevHloaGig//bu3cv83qykoTVxYBbolueS3hniImMZ3x0OoDEYxYZddYiLbNNRoyYQwreHExrHrnpSFrCjW56zsVfTkWR5riTXQx879bhEM9X3tS0dsiYtgmG+8hwA5JIh8V0008RlOeB2u3HllVe211ooN998M95++218+OGH6N27N328tLQULpcLQ4cOTXn+kCFD8NFHH2XcXo8ePdpkjKqrq2lmqbS0FE6nU/c56Xi9Xni9bb+oRxu+8pz9Th6dFbLfo3EZtc1hzZO2wHo+2VVH/y8aGwRk7px2psm+Xk0k01ScowRN5BxOzi12gFwzfBxBEwmw7BisWgFXpmnTpk1cZbmvvvoK0Sj7jpNlGbNnz8abb76JFStWoF+/fim/93g8GDlyZBsbgu3bt6OysjLjdkePHo3ly5enPPbee+9hzJgxdLunn356m+csX76cPseucHXPifKcZahPbF15orfdWK8KmkTmVNBpM03NbTNNVgZNe+tacOtrG/HVgQZT22mNJK73fOU5Utmw3363Aq5M06mnnoqqqiqUlZUxPX/06NH44osv0L9/f6bn33TTTXjllVfwz3/+E/n5+TTzU1hYCL/fDwD41a9+hRkzZmD8+PGYOHEili5din/9619YtWoV3c7MmTPRq1cvzJ8/HwBw6623Yvz48Xj00Udx8cUX45///Cfef//9lOzUnDlzcNVVV2HEiBEYPXo0/vznP2PPnj34+c9/zrT2jiKbTxMghODtQaM6aGoMYjgKO3A1xw4bUoKmrnlSFrCjaJo0hOA21jQRIXiRRqap0YKg6W+f7cM/vzgAj9OBx350suHttCa/Y0bKc13VFZwraJJlGffccw9ycnKYnh8Oh7M/SQVp758wYULK40uWLMGsWbMAANOmTcPChQsxf/583HLLLRg0aBDeeOMNjB07lj5/z549cDiUJNqYMWPw2muv4e6778Y999yDAQMG4PXXX8eoUaPoc2bMmIHa2lo88MADOHjwIIYNG4Z3331XN4NlB0jramGOTtDkFj5NVpOaaWrtwJUcOzS0RrC1SulSFTcBxzahaAz1yeBDK9NEuufsGTSRTJNy3rYy03SgPnFOqmo0lwU3IgTPUbmCd0W4gqbx48drOnRnYvTo0TRDxAKZY5eNa665Btdcc03G36uzToRLL70Ul156qe52b7zxRtx4441Ma7ADsizTadKiPHd0aUjLNAnan8++r4MsA16XA6FoXNwEHOPUBBKBh9spoUjj/EcyTXa0HGhvTdOh5DmpujFkajvkmsFjOdDVh/ZyBU1awYig42hJzlUCEgZpmfB7unaNuSNQn9gOCk3TUYHomUYP6IZV2w6jOdx151sJskP0TKV5Xs15bbbWNGl0z9HyXND8cU3OSYeazJ2bWgx0z3X1ob22GqMi4IOcDByS/kGdIzRNlqMOmg6JTNNRgeiZJgxMaCrjMhCKds35VoLsVDdm7pwD7K5pIj5NbYOmWFw2HeiR5pT6logpfz7ytzyD3nM9Xbs8J4KmTkxTMHHhzvO6dO9KxOw56xGZpqNLSziKzfsSnUATBikjk8QxfexyOJC5cw5Ql+fsd/E+0pw4f6gzTT63Ax5n4pJspkTXFIykvGeSkTMC+X4Z6Z4zkmn67PsjKc0edkQETZ0YcgeVr1OaA5R6tNA0WUdjq3JSqmoIMuvxBMbYuKce0biMikIfKrvldPn5VoLsEL2O1ggVQDVGxWaZplA0RoOaElWmSZIkalJsJmhKz3ybyYST6gRXpikpBOfVNDWHovjJs+tw1eL1tr4ZEkFTJ0YJmvSlaaI8Zz3qk1pLOEYnlgvaB3L3eUa/EkiSJLKngqyZJqLztFumiXT8OR1Sm3N3oT/xs5mgqaohNbNUbSLTFDTSPUc1TXz7fdO+BgQjcYSicdQEzAnY2xMRNHViyMmANWgSFxjrSPdSEQaX7Ys6aAKUE7O4ETh2IZmmbJomu2WaiJ6pOMfdRsBuhVfTwTQLlI7KNPEO7P1yXz39Pwks7YipoGnNmjW48sorMXr0aOzfvx8A8OKLL+qONBFYB9E0ZSvP+d2ie85KYnGZZpbIXa4ImtqPcDSOz/ccAQCMokGTyJ4e62TVNJHyXDhqq/mQyrBeT5vfWWE70LY8Z0LTZGRgr8FM0xd76un/SWBpRwwHTW+88QYmT54Mv9+PjRs3IhRKfDBNTU145JFHLFugIDOkPEfuqDIhMk3Wor4LHNQ9H4AImtqTLQcaEIrGUZLrwYCyPADqoEncCByrHGbsnpNle2nfqAi8nYIm0phCAp1qE5kmQ91z1KeJ73rzxd56+v8uGTQ99NBDWLhwIRYtWgS3W8l0jBkzBp9//rklixPow6tpEkJwayAntByPE72LE+atwuCy/dhZHQAAnNizgHaJitFAxzayLGfNNHldDridiePFjK5pyX934e63NlvW7FFHynO5bSsEVgRN5AZueK/EaCczXk3Up8nNbumYY8ByoKohmHIO7ZLluW3btmH8+PFtHi8oKEB9fb2ZNQkY4e2eExcYa1APSe5RmOjcEbYD7cfummYAQGU3ZXwTKQGI7OmxSX1LBJFYIojJFDRJkmRa1yTLMh5d+g1eWrcH2w8FjC02Da1hvQRLgqZk8HFS72TQZLA8J8uy4gjuYQ8V8rxKeY410FRnmYAummmqqKjAzp072zz+0UcfMQ/oFZiDjAdgzTSFonHqIC4wTkrQVJAImsT8ufZjd20iaOrbLZc+RjJNdiq7CI4eJMtU6HfD68pcOqLz5wxmmmqbwwhGEgaqVmWTtYwtCYXJxxpajR/XJNN0cp8iAMaF4KFoHCTm4Zs9l9jnPOazahE40EUzTTfccANuvfVWrF+/HpIk4cCBA3j55Zcxd+7cTjW/rTPDXp5Tfi9KdOYhQVOBKtNUZXLGkyAzu2taAAD9SpWgqTMIwV/bsAc/XbKhyzojdyTZOucIed6k7YDBTNPBeiXgsMr5n2aa2kHTFIrGUJvc/sm9iwAkrhNGMrLqv+EKmlTPZS2LEhH48eUJzaKdM01cs+fU3HHHHWhoaMDEiRMRDAYxfvx4eL1ezJ07F7Nnz7ZyjYIMsArBfW4HJCkhiGwJR7M+X6CPVnlOZJraB1mWlUxTStBk//LcojXf4dvDzfj421r8YGj3jl5Ol+JwIBHAZCrNEfJNuoLvr1e+12actdXUJbMoxe1QniPBpMflQJ8SP3I8TrSEY6huCqJSlallgdxge5wOuJzs+RWHQ6Kv2xKKAXn6z4/FZWzen3T7H1iGndUBHOmKmSYAePjhh1FTU4MNGzZg3bp1OHz4MB588EGr1ibIQlOITdMkSRK9UwiGxawuszQGlaCpoiAhBD9icsaTQJvDTSG0hGNwSECfYkXTlNMJynPkjl/MJrQe5kyTSVfwA6qgyfJMk44Q3KhPEykh9ijwQZIkdE/KB4zomloNdM4ReAwuvz0cQCAURY7HiZFJS5F6G2eaDAVNkUgEEydOxPbt25GTk4MRI0bgjDPOQF5elpBSYCmKT1P2zBEJmloi9r3IdBbUmaYCvws+d+JrJC6O1rO7NlGa61Xsh8elnK7sbqMRjcWpLkMcF9ZDsj5ZM00mNU1qo8hqi0rwirml9Zkm0pBCMuAkqDRyDBqZO0dQDC6z73dSmhveqxCleYl9YufynKGgye12Y8uWLbpDYgXtT4CxPAeIFm0raVQFTZIkoaIwaTsgOugsh3TO9U0rLfht7ghepzrpi6DJeog0gQQZmTDbPXdArWky0bqvhmSasgVNRiwOiEygIhk0KZkmA0GTiUyTYnCZ/fv5RVIEfkqfIiqOr2/uguW5mTNnYvHixVauRcAJOXEUZCnPAfa/M+9MqDNNAJQOOnFxtJxdGp1zAJBrc3NL4voMmHNkFmhDW+GzZEFoeS5k7CKs1jRZkWkKRmI0kNDTNMXiMlPAkQ6ZO0fOSd0LEpkmI/PnWizINLEM7SWZplP6FNFAsikURSRmTymJYUVwOBzGs88+i+XLl2PEiBHIzU09qT3xxBOmFyfITDQWpyeOPJbynM3vzAmyLOOl9XtQFwjj1nNP6OjlaNImaKJicBE0Wc33GiJwwP6Z07qAyDS1J6xZECIEbzLaPacuzzUFIcuyqQqLelhvgcZ52+d2wON0IByLo6E1wt20U9WYWK9SnjORaTIwd46Qw5hpag3HsO1QE4CERUIie59oWqpviWQtv3YEhoOmLVu24LTTTgMAbN++PeV3omzX/qi7QVg0TTlue9+ZA4mA6eF3tuLZj3YBAH54ei/0Vol/7UKmoEkYXFrPLmo3kHoc2H1gb02zCJrakyDjTDQSdBjRNIWj8ZQMTSQm40hLRNOUkhW1nknrOilJEgr8btQEQmhoiaBXkZ9r++TGjZTnyguMa5pY97EWrJqmLQcaEIvLKM/3oqIwIV4v8LnR0BpBfUu4awVNK1eutHIdAk7InZPP7YCboR2U3C3YtcNLlmX85l9f4y8f76aPNbZGgeKOW1Mm1D5NgKo8J4ImS5FlmWaa0tulbV+eCygX2yMtEYSiMV0TRgEfzEGTz7hP06HGIGQ50b6f63HiSEsEhxqD5oImqmfKLKko9LsSQZMBMTg5B3UvSNU0GSkttpjINLEO7f0y6QR+cp8iGkQW5ySCJrvaDpiyHBB0HIpHU3Y9E2DvckY8LuPut7bgLx/vhiQlfEEAoNWmnX4NLSTTlDgxKAaXImiykuoMdgOAvY9nIFXTBFjXeSVIwKxpMuHTROwGehX5leDDpFeTMncuc+BltIMuFpfp+khzipl1t5rKNLEN7d2YDJpOSbqXA4pTul076Axnmh544AHd3997771GNy1ggNgNaNXFtcix8fy5p1buxMvr90CSgAU/PAmLP9qFb6qabLnWeFymqX6RaWpfSOdc7+KcFLsBwP7mlrVpQdOhxiD6lNiv1NxZIZ97tqAp34RP0wFVJ5rL6cA3VU2mS616buAEo15NtYEQonEZDgm0dZ9YDgRCUQRCfMbGJJuXY0jT5KSvq8f2qoSeaVhyuDCgZOHs6tVkOGj6xz/+kfJzJBLBrl274HK5MGDAABE0tTPkYGQRgQP27p5bua0aAPDrqUPwoxF98OqGPQDsGeA1haJ0HhM5uRH9wOFACNFYnMs9V5AZLSdwgt3NLWsD6UGTyDRZCZkHl610ZC7TlAiQehb5QdRH1SaDprrmzG7gBKOZJqKpLM/30XNQrteFfK8LTaEoqhuDyCtj91Ikpe9sgakWNNOU5ftZn3yP3VT7o5hmmuxZnjMcNG3cuLHNY42NjZg1axamTZtmalGC7LDOnSPYuXuO3FGd2KsAgL2zCGStPreDalS65XnhdEiIxWXUBMK0XCcwBxGB9+3WNkOTQzV6ccTjMhwOezWfkPKc2ykhEpOFGNxi2DVNpHuO/wJMynM9C30gc87NludIyUnLDZxgNGiibuBp55/yAi+aDkdxqDGE/hxBU2uYLTDVIpfe1Oifw5WKibI/7F6es/SWuKCgAA888ADuueceKzcr0IC6gbNqmpInFzsO7E33m7KzXiW9cw5ItA93T6bBha7JOr7P4NEE2H8IdW1z4uJ6Qnk+AOuMEQUJWPU26tlzvGaRNGgq8pvqQlOj5wZOMBw0ETfwgrSgKZ/omvjWTjSlOQYyTTnJ/a7XPReOxmnGsMCvfJ9pec6mBpeW1xHq6+vR0NBg9WYFaTQZLs/Zr5yRnjXLsXFnlFbQBEAM7m0HdiU1Tf00ynNkCDVgzxIdyTQNqUhkTw8JvZtlyLKsEoLrX8LIXM64zB9ck3JXzyK/yu/IpBBcxw2cUGBxpqm7wYDPjE9THoMQXJ39U2utinLtnWkyXJ77wx/+kPKzLMs4ePAgXnzxRUyZMsX0wgT68Jfn7Jm9iahMOskJzs76q2xBk/BqsoaE3UCiPFepUZ6TJAk5bieawzHbHSfRWJzqMYZUJDNNQtNkGaFonOoKfVku6D63g5bOA8FoSoYyG/tppslHz7eHLSvPtWOmqU3QZCzgY+1Q1IJFc9iY3Ke5HmeKDlQRgtsz02Q4aPrd736X8rPD4UBZWRmuvvpqzJs3z/TCBPqQbpB8xm4IGojYrJSh7mohAaDfnbxLsdlaAZ2gqSA5f06U5yzhUGMIrZEYnA4pY9eZ3+NCczhmuxsBEjBJEjC4RzLTJMpzlhGKKOM1spXnJElCnteFhtYIGoNRlBewvUZTMEIDpYpCP/yexGda3RQ0paE70o5C8HRjS0K5QdsB8r0y0j2Xy1Ceo3qmtHNpic01TYaDplWrVqFPnz5wOFLTo7IsY+/evcjPzze9OEFmqKaJYe4coC552esCQ05MfreTmnR2hkxT+he9R2FS0yQyTZZAOud6F/szmrfmep2oCdivjKsuwVQUGTcX7ChqAyHk+9xtbB7sArnxczkkJmNfEjTxdNCRjHFRjhu5Xhd9nYQreBjd8ow5VSuapuxCcF7LAVqeK7CmPGfKEZxhjEqmakmRzbvnDH8r+vfvj5qamjaP19XVoV+/fqYWJcgOb3mOpFjtFog00uBPeR/+TqhpIpqHmkDnuTjaGeLRlO4ErsZvU+8xIgIvyfXQ0gjxybE7++tbceb8D3D9C5929FIywmu6aMSriZTmiEmkx+WgbfFGO+iCESUrqptpyuHPNMmyTOfkZSrP8dol0PKcoUxT9oG9JChMHzhfnKv4NPGK948GhoOmTG8mEAjA5xMt1+0NvxA82cZvs5KXVtBk16wYkDloMnKiE2RmVzLT1E9Dz0Sw63FCPJpKcj3I87qoyLUz2A58c7ARkZiMj3bWZJ0b1lGQGz8vY9CkeDWxfzcVN3DlWkbmoBn9HEmWyeWQdGUV6vIca9DQ2BqlnWjd0zNNKhE7TxBCy3OGNE2KxCIe137NTDf+RCQfjcu2vNHgLs/NmTMHQKJWfO+99yInRzmpxWIxrF+/HqeccoplCxRooxxwvOU5ex2EWu+jU5Tn0vY7OdHZVbzY2fieeDRpdM4RWA30jjakPEddmQu8CByO4lBjEAM4fHI6AhLwxeIyvtxbjzHHl3bwitpCM00etnt+xauJozxXT/RBysDc7gU+fFPVZLjU2qy60dUbak/OJdG4jJZwjB7nuuttTAR5xTnuNsJtYpfQGomhKRRtc+7KRNDM7LlkpklOdi1qvYfGDJomn9sJn9uBYCSO+pYI8zXuaMEdNBFTS1mWsXnzZng8SprR4/Hg5JNPxty5c61boUATctfEaotv1+45rbuNzmDE2SbTZFC8KdBmt45HE8G+5bnUDqkeBT58d7i5U+ia1ONfPtl9xJZBU4izPGfEFVzt0UQg2iBevyMCa+Ymoe9MmKI2tEaYgqb0Qb1qfG4nCnwuNAYTruCsQVOLiTEqfrcTkpQImprD0QxBU2aJSXGOBwcbgjjSErbd+CHuoGnlypUAgJ/+9Kf4/e9/j4ICxnYEgaUohpCde4yKVgcFnZNns1IikDloKkr+3BSMIhaX4bSZQ3VnIh6XdUeoEOx6TNdRTVPiIksuZJ2hs5KsHQA+/b6uA1eSmaOpaeqpKs+Z9Wqi8/KyBCGSJKHQ70ZNIIyG1khK4JYJYoWgFTSRxxuDARxqDOH4crYmLdb5flpIkoRcjwuBUDTh1aTxkpk0TUBCDJ4Imux3E2q4e27JkiUAgK+//hp79uxBOJzaHnjRRReZW5kgI7IsK5YDrOW5ZBt/NC4jEoszdZ0cDbSCPzsbcVJNU1r3izroa2yN6Ao9Bfo0tEaoPqOXzgVDcR22V9BESlxEOGyVm/TRQJ1p+vz7I7acpUiCJn5NE3/3nFamyejnyJO5KVAFTSwcTjagEN1VOt0LfNhRHWBeezwuIxRNjlExEDQBifep1wChJzGx89Bew9+GXbt24eSTT8awYcNw/vnn45JLLsEll1yCadOmGZ49N3/+fIwcORL5+fkoLy/HJZdcgm3btqU8Z9asWZAkKeXfmWeeqbvdCRMmtPkbSZJw/vnn0+fcf//9bX7fo0cPQ++jvQlG4ogmxXWsQnCfqv5vp3IGudtQf3HsWkoEMgvB3U4HnbckSnTmIBcXj8uh2/auZCTtFVyTwKNbnlKeAzqH7UCdKmhqDsfwTXIKvZ2gTtXMmaZkFpgxaIrHlU40ddBk1O+I0ErLc9nP2bzlfpJpyhQ0kZs4Vs2lumGIxxBUDXUFz3AeVzRN2uU5ADjS3IWCpltuuQX9+vXDoUOHkJOTg6+++goffvghRowYgVWrVhna5urVq3HTTTdh3bp1WL58OaLRKCZNmoTm5uaU502ZMgUHDx6k/959913d7b755pspz9+yZQucTid+9KMfpTzvxBNPTHne5s2bDb2P9oaUtCRJGYyYDY/TQUtGdipnNGmYdNp1YK8sy7QOnx40AYq/iAiazMF6UbRveS5V09S5ynOJtZNg9dPd9ivRBTkzIOTizSoErwmEEInJcEigMyUB4637BNbyHGAiaMrgH8WbbVMHTV6Dfl05Xn1XcD2vwaJkpqlLlefWrl2LFStWoKysDA6HAw6HA2PHjsX8+fNxyy23UME4D0uXLk35ecmSJSgvL8dnn32G8ePH08e9Xi9XFqikpCTl59deew05OTltgiaXy2Xb7JIaajfg1e/CUEPGTjSForbqNmoKdR7LgUAooVcCtIOmAr8b++tbUS+CJlPQO/IsFxf7lucSF7BuVNPUicpzydLiuONL8cE31fjk+yOY9f/s5bvH29WVRzVNbN/LAypRtbo0WZ5PhOAhQ67gtDzHEOzxGlxmyzQV0A5CxkwT1TM5DLufk5vfTNYVja2Zdbkk09SlynOxWAx5eYn22dLSUhw4cAAAUFlZ2aakZhQy+Dc96Fm1ahXKy8sxcOBAXH/99aiuruba7uLFi3H55ZcjNzdVZLpjxw707NkT/fr1w+WXX47vvvvO3BtoJxQdEF8rph3LXvS9+NuW51p1PD46AnLX53E5NMWRhck0s8g0mYNV6KuMBrLPTUAsLtOgmZTn6JR5Tp+cjoBkmiad2B1AItNktzXzzkTL58yyaHXOAUpAEo3LhkZ88AR73JmmLJqmfE7bhVaqvzKcV8k6tFe5Ye5cmSbDQdOwYcOwadMmAMCoUaOwYMEC/Pe//8UDDzyA/v37m16YLMuYM2cOxo4di2HDhtHHp06dipdffhkrVqzA448/jk8++QRnn302QiG2OvOGDRuwZcsWXHfddSmPjxo1Ci+88AKWLVuGRYsWoaqqCmPGjEFtba3mdkKhEBobG1P+HS0CnG7gBHKRCdqoK61Rx6cJAIJR+6w1k56JUOQX5TkrUHx4srdmA/a6CTjSEoYsJ0rn5G6ZCMHDsbitfbxawzG67ycOLofLIeFQYwj7jrR28MpSUYKm9vFpOkDdwFM70dxOB/XeMtJB19KeQVOWTBMtUbKW5zh1Y1pkG9pLMk2FepomG2aaDIeRd999N9UaPfTQQ7jgggswbtw4dOvWDa+//rrphc2ePRubNm3CRx99lPL4jBkz6P+HDRuGESNGoLKyEu+88w6mT5+edbuLFy/GsGHDcMYZZ6Q8PnXqVPr/4cOHY/To0RgwYACef/55auipZv78+fjNb37D+7YsgaRYWT2aCD4bXmSaWtuW53wu5YvaEo6ZutuxkmxBEz3R2fCL3pkgXZPZM0328/MimZoiv5tqCL0uJ0pyPahrDqOqMWjbzkoy/sXjdKAsz4thvQrxxd56fPp9na28cngv6LyapgNJY0utzs2yfB9qAmEcagpiKPjsdkjDAk95jiVoCkZi9L1lzjQplihMaw3zBaZa5OqU52RZ1tU0KaNU7HeTYXiPTJ48mQYp/fv3x9dff42amhpUV1fj7LPPNrWom2++GW+//TZWrlyJ3r176z63oqIClZWV2LFjR9bttrS04LXXXmuTZdIiNzcXw4cPz7jdefPmoaGhgf7bu3dv1m1aBe/cOYIdtUJaBmcOh0RPiHYS+WbyaCKIUSrWwJppIkJTO2n0yOzBkrTAqNzkCI6jgVrALkkSRvYtBpAwubQToaix7jmz5TlA0acdNpBp4inPFXAETSTL5HU5Mo5n4dV1BS0ozxFDS62hvc3hGIjyIpNPE2DPTJOhoCkSiWDixInYvn17yuMlJSXMwmQtZFnG7Nmz8eabb2LFihVMg39ra2uxd+9eVFRUZH3uX//6V4RCIVx55ZVZnxsKhbB169aM2/V6vSgoKEj5d7RQ5s7xaZqU+XP2uchQc8u092LLAI+mk/UzTXa8O+pMtLB2z9kwc1pH7QZS7/jJEFU72w6kO5mP6JvQktqtg66VUwhOWtobgxEmjWSNjj5ImePGH/y2V3muWlWay3T9NappMlOe0xvaS877Loekmc3qcpYDbrcbW7ZsMRUgaXHTTTfhpZdewiuvvIL8/HxUVVWhqqoKra2JyD8QCGDu3LlYu3Ytdu/ejVWrVuHCCy9EaWlpijfUzJkzMW/evDbbX7x4MS655BJ069atze/mzp2L1atXY9euXVi/fj0uvfRSNDY24uqrr7b0PVpBk8aQWxbsJgQPR+PUQC39vShrtU+Ap8yd097vYpSKNbBeFO1oTUGDprRMk5mL7dGiLpDqLzWiMpFp2n4oYKsuJl4hOLkhk2UgwHA+IUL+opy2N0fUqNTAKBWeQITnXJJNzwQA+V5j5Tkjc+cI5PsZ0BCC0845v1szjiDmls3hGMLJa4RdMFyemzlzJhYvXmzlWvDMM8+goaEBEyZMQEVFBf1HNFJOpxObN2/GxRdfjIEDB+Lqq6/GwIEDsXbtWuTnKz7te/bswcGDB1O2vX37dnz00Ue49tprNV973759uOKKKzBo0CBMnz4dHo8H69atQ2VlpaXv0QrMCsHtcpFRt7+m67PstlaAQ9MkgiZTsFsOJIWmNpqETlr208tzpKxjZ6+mdH+pbnle9C9LdBh/vsc+JbrWpFs8a9Dkczup1xBLC7/e97zchFEp63Gtfm2W9ZLOuXK9oImU5zh9mizJNGkEqtlu/At8bhCnAzsF7IAJIXg4HMazzz6L5cuXY8SIEW3a95944gnubWZrbfX7/Vi2bFnW7WiZaw4cOFB3+6+99lrW7doFLUNIFuxW8iLvI9fjbDOqwY5De7N2zwlNkyWwZhJyVNYUdoGIqdtkmgrNzS07GtQ0t9VjjagsxneHm7Fh1xGcPbh7Ry0thaCBzq4CvxuHm0KJDEdx5ufJsoyGFpJpaivYJ2aXhwy4givZGz5HcFmWdas6TJkmVdDEMhuT1wtLCyoE1ziHN2aQZRAcjsT8vSMtERxpidBg1Q4YDpq2bNmC0047DQDaaJusLtsJUiF3C6xz5wjUbMwmJa9Gne4JOw7tpeU5kWlqV1pYM03JcRSRmIxwNK47cuVokUnTRMpz1QbKOkcLUp4rVa39xJ6FAPZhd01zhr86+hAbEr+H/fMu8LkSQVMWIXQwEkc4lshk6Weajk55LhKT0RrR7yBW3MAzBxbqcVvN4WhWjz8rynP6mqbs1ZLiHE8yaOoimaaVK1dauQ4BB40GNU1k5Eoms7Gjjd4Xx45De7tiee6Ov3+J7w4345Xrz7RF0AEonTvZLi7qE3prOGaL9WcuzyVHqTTYOGhqbrt2Yo9gp2NacavmyzQB2d9HfWtiH7gckuaIKpJBNHIh5ynP5XiccDkkROMyGlojbEGTTqbJ63LC43IgHI2jKZg9aLKiPKdomtqewxtb9TNNgJK5t1t5ruPPMgJuSLDB69OktIDaIxDRq2vbTbQOsJtbtthQvKjFF3vr8ddP9+HT749gZ3Wgo5dDUSwH9I9vj8sBtzOR1bbL0N6MQvCkpqkmEEI0Zs9jI717Dkj4TQGw1WggIxd0cnHOphFSf8e1KiaKQXCce1oBj4BdkiTmm7BsbuCEfOpXlf2zZPVK0yNXZ2CvltVMOorBpX2OPcBk0LRmzRpceeWVGD16NPbv3w8AePHFF9sYUgqsxXB5js7qsscFRssNnGA3/RWQ3acp3+cCOc/a6c48E0v+u4v+3066IFbLAfVz7HKc0MAjLzVoIuW6uGzfY0Mr4KM6PRvd7Qc5u+cAlbA6S/cYsQsp1OicA1Kzm7zTCljLzgTFLFf/eKlhyDQBKl0TQwcdq1eaHvpC8Lbjs9Kxq1eT4aDpjTfewOTJk+H3+7Fx40Y6xqSpqQmPPPKIZQsUtMWo5UCuzQIRvS+O4vZsjwAPUN2FZjihOhwSvZuz64WRUNUQxDublA5TO43WUYz1sp+wc7PMtzqaxFQzyciwXoJT5Udjl+9fOlrlOZI9tVOmKZjsnuMTgie9mjgyTVqkTyvggWRvWIMmlpKiLMtM5TmAzxW81cA+TidXrzzHcA0rpuU5+xx7gImg6aGHHsLChQuxaNEiuN3KATZmzBh8/vnnlixOoI1Ry4Fcm2WaOlt5jmVQMrk7ami1191ROi+t+x5RVXnBTtYOLRyaFTv5edUn584ByglfTa4NO0IJoWiMXtzUAR+5QWgJx6gTd0ciy7KhLAgtz2UpTdHOuQxBk9FpBSnrZgxEChlKow2tESpcL83TH8/DM3+OludMZZoSrxeMxBFLK2WynEuJns5uBpeGg6Zt27Zh/PjxbR4vKChAfX29mTUJdIjFZdrCyVueU2YBdfzJD1AMzjSF4DYboxKNKV01eneKnUEMHozE8PL67wEk5owB9irP8Tg+0zKuDdZP587luNtYaADK+7GLplANWbvLIdGsDJDQwZDu9GxloqNBJCbTC7ARITg552QiW6YJUD5Hnu9MKBqnY0NYAxFSGtXLjpEsU6HfDa9Lf7uKKziDpokj25sJ9d+m39SQ96R340/ef5fRNFVUVGDnzp1tHv/oo4/Qv39/U4sSZEZdj+YXgtvrpJ1phApgv0xTUCXs1jtZd4ag6a2N+3GkJYJeRX6cOSDhjm+roInjhE3LuDa4EajJ0DlHyLWhgzmBdP0VJ+fOEYhfDmCPEp36ODUiBGftntPyaEp/XZ5zU9DAulnOJaylOUCxHWAqzxnoUEzH63JQP6j0G3V67tcJTkuSn0GX6Z674YYbcOutt2L9+vWQJAkHDhzAyy+/jLlz5+LGG2+0co0CFU2hxMHmdTm4W6z1uhk6An3LAXutVX3S8+rs90Kb1uEJsixjyX93AwBmjemLPC/pBrLHfgb4ptjn2Kg8R7I1pbnaFzA7OpgTMnX9AUoXkx2OaXKcOiTQzkkW1PPn9MjmxQYYKwmT85jH6dDMQmpBOxd19jvtnMvLHjSRwJFFCM4rWtdCkiT69+k36izdcyRwtUOwrsawT9Mdd9yBhoYGTJw4EcFgEOPHj4fX68XcuXMxe/ZsK9coUMFiCpYJcgCzWum3NyQA1Mo0KW7P9lir+kKuZ95q90zTx9/WYtuhJuR4nLhsZB9srWoEYK/sRwuHnsJOruB1Go7aauy01nS0ROCEQhv55ag9vHhMlFnHktRn0TQBatsB9s/RiFlkAUOGjyvTxGE5wOqVxvKaTcFom0ywXpWBYMdRWoCJoAkAHn74Ydx11134+uuvEY/HMXToUOTl5Vm1NoEGRu0GAOVLE47GEYnF4Wa842kv9AJA25XnGMWndg+aXvtkLwDg0tN7o9DvtqW1A093VI6NdHq0PJdBkGuntaaj5dFEsJNXk9FW+ALGzjEmTZOJ8hxPEKI0lVgTNFFNE8NNM08zhh6ZbtTpwF6d65gR7djRwFTQBAA5OTk4/fTTAYjxKUcDo3YDgHLSBhJfikJ/xwZNihhQJ9Nkk4s5NabLUhItYvRW6Sj21CbGYYw9vhSAchK3S3mOVXBPsJNzvF6JC7BXKTGdugwz8wDVxdsGx7RRrU0BY6aJBChFGWxFAGM3dEbKXcq5JHOGjy9o4rEcMF+eA9SSEOU1I7E43b666SAdYu9gl3MTwdRVc/HixRg2bBh8Ph98Ph+GDRuGZ5991qq1CTQw6gYOpDoo20FXwTJGxS4ZEJL98HXyTBPJhpQmT7K0fdomJyb1OvgsB9jX/9WBBhwyMDssG80h/dK53XR6apTyXNuLLzmm7WAyaHS8R4Eqy5Le/q6Glud0giYj5TkeN3BCIcMAcB5NUx6HuSVrZj0bWkN7mxibmXzJ2YLBSAyyzOe+3p4YzjTdc889+N3vfoebb74Zo0ePBgCsXbsWt99+O3bv3o2HHnrIskUKFMxomoBE5F/fErHF3a5uec5trwsM68nazkGTLMuoSTvJ+mya0XNI+oJ7gt4kdS321Lbg/D98BL/biTunDsZVZ1bCkWXiOyuhZIdlpgtjbgZRrB3QKy3SGWA2OKaNuIEDqdnspmAkY3ccW3mO/9zEa2wJsJVFjZXn9D/HSCyOSCwRpJjVNGkN7SXVklyPU1cUTz7juAyEY/GslgpHC8NB0zPPPINFixbhiiuuoI9ddNFFOOmkk3DzzTeLoKmdUDJN/JomIHGRqW+JINDBuopgJEbLMPrlOXtcYFg7ugptdIFJpzkcoxf2bsmLo+0yTYyCewLvcbI7WZ5sjcRw39tf4T9bDuKxS09Gn5IcgytWIBf0TMGe3UrOavRKi3YqORtxAwcSWXa/24nWSAyNrVHNoCkel2l3XaFfx3LAw+/sbkQIrhavx+OyZnDPFTRRIbj+dyXF1sFkpklraK/iz6d/DVN/xsGIfYImw+W5WCyGESNGtHn89NNPRzRqjwtdVyQQMq5pAlRlrw4uz5EvriQpX2Y1atNCO6RmWe9w7ZxpIjOq/G4nPZnZTdPEOqyXwFueI8FsaZ4HfrcT676rw+QnP8T7Xx8ysNpUsmWalNmP9tjXavS655TWbxuU54imycDFXJk/p/3dbApGqaO7XqaJfHeMlOf4Rr8k1hCXtcXbkVgcdcmSKY+mKVt5LhhWsr0ek81CWjY3ikeT/nfc7VR8nuxyfgJMBE1XXnklnnnmmTaP//nPf8ZPfvITU4sSZEaxnzdengPYyxntBfni5HlcmndQ5GIoy8rFqCMxEjTZIdhTU5sU+5bmKxdGu3WoKHfkbKcm3tEkRFQ7orIES28bhzP6lqAlHMOdb24ybcVBxoxkzTTZxEZDTW0gsxDcTt5jSvDBf+nKNn+OBIU5HqeuB57SPcf+ObYaEIL73E46r1BrzbWBxNgep0OiRpB6sJpbtnBme/XQKkkrc+eyV0tI442dgiZT3XOLFy/Ge++9hzPPPBMAsG7dOuzduxczZ87EnDlz6POeeOIJc6sUUMhdQp7hoMkeBnvZzM3SO/3Mtr6ahbXVmdyVh6NxBCNx0+ltKyG6FfVsMZ+B9un2JMhYBiXwGg2qu6Mqu+XipetGYdLvVmN3bQueWbUTv5o82MCqE5DSUaYygl0tByKxOP0+amWa7GhuaeR8kG3+HIueCTDWfMAzGkhNkd+DqkgQ9S0R9ClJ/R0pzZXmeZh0eeRcG47FEYrGMh6nvNlePXI0SoKNHDf+fo8TzeGYbW7qABNB05YtW3DaaacBAL799lsAQFlZGcrKyrBlyxb6PGFDYC2NJjVN9MRtQCu0q6YZPQp8lgQCTVnuNpwOCR6XA+FoHC3haEbDwKMF6x1urscJp0NCLC6joTVis6CJnGSVoMluOhsl08R2auLtsiQXfnJh9LgcmHfeENzw4mdYtGYXrjjjOPQuNqZvopmmDMeIXS0HyEBUSdIeH1Jko5KzGdPFgizvI/3YyIQhc0u6br5LbqHfjarGoOaaDwcSHaAspTkgkdUnNAWj8OZp70PebK8exyW1gt9WB+hjelYz6Xip7UDHVxsIhoOmlStXWrkOASMkQ2Q000RaPHlndX28swY/Wbwel488DvOnDzf02mpYugBzPE6Eo3FbXNBJBiTbHa4kSSjyu1HbHEZDawQ9Cn3crxWNxfGXj3fj/x1fiiEVBYbWqwWZL6aehm5bTRNj+YU7aCLZBFVL+aSh3TGqXwnW76rDY8u24feXn8qzZAopI2fONNkrq0egxpY5HqohUUO65wKhKMLROPf4Jisx0rpPIJmNTEN7mTNNBrKzrQYDEaWxpK2ejIrAGewGgMQcwTyvC4FQFE3BaMrNkxpyLsjhDPC0GJo8f319sBGyLEOSJEVikkXTBCiZObucnwCT5blgMIhNmzahuroa8bgSCUqShAsvvND04gRtoY7gBnyaAOOjVN76Yj9kOeFxYwUsAxtz3E7UI2KLiwyPkLMwGTQZHTuxevthPPTOVow9vhQvXTfK0Da0IJmmbqqgyWe37jlqqseaaeLTNCljMpR9IEkS7rlgKC586iP884sDmDWmL049rphn2QCyd8/ZbfYjQU8EDiQyApKU0Bc2tEaYMxvtQWs42T1nIINbkEUIXs9gbKl+bZ6bOUXTxJ9pArSzYzydc4R8XyJo0hODmxHbp3N8eR48TgeaglHsO9KKPiU5fJqm5M2TXc5PgImgaenSpbjqqqtQW1vb5neSJCEWs8+b7EoErMo0cZQI4nEZK745DMA6XQNLpslOo1SouSVD0JStDJCNA/WtAJSTolUomSblJGvkAtCe8AzrBfgtBxroFPvUE/awXoWYfmpvvPH5Pjz0zlb8/eejuaUF2brnjAiIjwZ6I1SARKm8wOdGQ2sEDa3hjg2aTJTnss2fa2TMNBmZIdhicN16Q3uNBE0s8+daTIjt0/G4HDihex6+OtCIrw40oE9JjqqZKXvQRPZXyEZBk+G9Mnv2bFx22WU4ePAg4vF4yj8RMLUfJGjKNSjSy+E0AwSATfsbaJbCqqGdLFOuyVrt0G3EM/OqiMHJVw9yEWMZrMmDkmlSBU1ue2kGeGeL0cCa0ZpCbyDrryYPgt/txGffH8EHW6tZl0wJUSF4lkyTzYTgdRoZyHSKbNJBpwjBDXTPUSG49vmEnNsyGV8SjJlbGhOC62aaONzACSzz54gdjZGpE1rQEt2BxHBwRdOUfft2y4QDJoKm6upqzJkzB927d7dyPYIsBEw7gvN3z63YqnjYNAajiMbMX2BZxIB2yjSxzp4DzHs1kYxQppO7URQheFtNUzgWt+RzNUsLZ6aJ3DzIMlvgp6VpIvQo9OG84RUAEhoMHmRZRpBRCN4cjtrKjiJbeQ7Qz3gcTcwJwfUtB3i757jKcxF+R3BAdQOmm2li103mMcyfozfmFgVNJ/ZMBE1fJYMmRdPUOYXghoOmSy+9FKtWrbJwKYJsRFWDDo3eBeQaMNj74JvUu24rLuasQnDAHkFTkONO0XTQlPRTCmSZk8W/3czlOQAI2sgPi/Xior54Zit7ybKsshzQDhDIZ8d7zEViMjVGzGhu6VHGQtjBe4xQqzN3jlBIDS6NB02BUBTz392KLfuN6yLNCcGt7Z7jKs8ZHDRM1qIrBOfUNAH6WWwz8021GNqzEIByI9LIMXTebvIBwISm6amnnsKPfvQjrFmzBsOHD4fbnXqg3XLLLaYXJ0hFXVIzehdA73YZM01VDUF8daARkgS4HQ6EY3EcaQmbtgDIZjmgXquZL8x3hwM4UB/E2BNKDW8DAM0isJz0zLZok0wTkLjQZDuJsxCJxelFQW1g6HU5qMi3JRy17ERpFBL4sF5cHA4JPrcDwUgcLeEYuuk8NxiJI5wMVjLtU6Pje4jdAKBnbmkv7zGC3ggVgpJpMl6ef/Pzffi/D7/Dt4cDePbqkYa2YbTMBWQXgvN3z7WvuSWgBKtWCcELGIb2mu3QTmdIRT4A4GBDEHXNYS5NEzW3jHaBoOmVV17BsmXL4Pf7sWrVqhTRpCRJImhqB0ja1ONyGG77VRyU2b7wK5JZplP6FKEmEMLeulZLUvQszuZmh/bKsoxZSz7BnroWrLljoqn5YjwC5QKTpQxy5w8kgksrgiZyYXRIilkhkPiu+t1OtIRjCIY7PvtBuqN4Li65HheCkXDW44TcrbscEnUqTsdoSZiUDySd0RNOhwSvy4GQTbzHCNmE4ABQbIGm6cu9iQzT/vqg4W2YKs8RTVMWywHW7rlgJJ5xJlw6rZwZVEJhhnNJcyhKb6INCcF1bppps5EF5pZA4sa4slsOvq9twdcHGpXOaY5MU5coz91999144IEH0NDQgN27d2PXrl3033fffWflGgVJqJ7JRDaAd4zKim8SeqZzBpernIHNi8HJpG29uw2zQ3v3HWnFnroWAEpHmlFaObrnzGualK65bCMPWCF6ppJcb5uTvJ2G9hLtB08mgdUVnIrAc9wZO+PUMw95UI9Q0eu6s6PtgN4IFUKhBfPnSFnuUKPxoMlMeS7b7DnWTFNOSkmb7XNsNVieK8rQ8VeV3Ie5HmfGGwAt8hk0TU0WZ5oAta6pQXEEZ7gZ9NFGFft8XwwHTeFwGDNmzIDD0XFGZ8caVgj0eITgwUgMH+2sAQCcM6R7xrseIyiTrttP0/T5niPK65kMPoJc3XOZU+rZiMbiKbqRTKJVXmo0jC0JdupQMXJxYS3jsmhWjJaEsxlbEowYI7Y3VAiu1z1n8rvfGo5hR3UTfb2QwXILj/VHOkQI3hKOIaLR9KDl4aWFT/UZs36OZn2a0rVk5CawZ5GfyxqDxXKg2eLuOUDpoPv0+yNUp8nTPdclgqarr74ar7/+upVrEWQhYMHBrMy/yh5ErP22FsFIHD0LfRjcI1817dyK8hxH95zBL8ynu5WgyWz7Pk9ZwEym6UhLBOrGKqsyTbUaI1QIdhJbthjQfrDaaCgeTZkvin7O8jUhm7Elgdy0tHTw7EdCLC7T77Nu95xJG42tVY1Q9zRUNxrzIDPj06Q+b6Z/r0JRZb5ZtkwT0dEBbN8ZWZaN+zTlKI0JYVXzwMFkibOiyM+1vXyGob0Bi4XgAHBiUgy+YVcdgESJnGVf8Ozno4XhvRKLxbBgwQIsW7YMJ510UhshuBjSaz1mh/UCanPLGLW1z8T7SauBs4eUQ5Ikla7BXHlOlmWu7jmjX5jPvlcHTeYuUjxlATNBE+mcI5Ayplm03MAJdhqlYkSzwjrTTc+jiW7LbS7TlO348BvwSdPi+Y9340BDK+6cMtjUfM9AKEqDdL1SuVmfpvSOueqmoCGNIU8Xazoup4OOEWlojaQEieS7KklsGZCcpI6OJTsbick0u8K7bvVNpdqN/UBDItPUq4hvTBN5b3oTIcwaKGsxNFmea1B5NLEctySrZ4fOXoLhvbJ582acempiRpN6QC8ghvS2F1akTXOSd7rRuIxQNJ7xJC/LMhWBnzM44cVllVdLMBJHNHkS0atrG73rBxJf/G+qFK8ds2UupWyUPTmrvivPFpimUxdIDUityzS1tRsg2EvTxH9RZC3jNuh4NPFuK51sxpaEXMYAT4/WcAwP/PtrxOIyrhxVaarBgQSpDkl/7YV+c5qmzftSg6aqhqOfaQIS4uNAKNrmfEB8kAp8biZhN0+ZVR2A8wrBE27sLjQGo6lBU7I8V1HIm2kimqbM50MrKhrplOd7UZrnoTIBFj0TYK8sOEEM7O1ENFkRNLlT6/GZgqY9dS042BCEx+XA6AGJRm5S1jhiMtNEvrAOCboixhwT+o8v99anlAP0ukWyEU8GmABfeS4WlxEIRZlmLBFqmtsnaCInK81Mk438sHjNLQF1V5R+YFzPIPQ13D2XxdiSwDsrT4tvqhpp5qK+JYI+JYY3pSqH6t/5m840JY0Ncz1ONIdjhsTgkZhys2XEERxIXKwPNATbiMFZO+cIPBdzEui5HBLcGTor9SjMcSeDJuXccLAhWZ7jHAiez2A50B5BkyRJGFJRgDU7alLWkQ3yORvVwLUHQsXdibCiPOdyOuiBqKdrOpTUHPQs9NHAyqyugdCoqpnrnajNlOfUeibAnKZJbUTIkgHxuZ3UEoJ3X9UFUu/AM3X68FKjp2myUaZJMbdkP8ZJmaWuWT+YZxH6KqN7jGWafFmE4FYYtpIABDD/XSQZr2zHNckyNxmYCBCMxLDjUEIEPu6EMgDAoSb+oEldPjbqcUW9mtJsB1iNLQmKwWX2mxrWfZwJcryqP+v99aQ8x5dpUoTg2uuWZdmS64wWpEQHsHk0AfaSDhBMBU1r1qzBlVdeidGjR2P//v0AgBdffBEfffSRJYsTpNIctuYOIJfqKjJ/4bXmlFk1f4p1yrWZDMhnyc65/qW5idfM4M3CgvoCmu2iSDBqcFmbduE3s+7U7bYdoUKgXiidNNNUzBg0ZRrWq4ZVH5VOiDHTZIUQ/OsDSqnLbNDEarqoDiZ4X/ObqiZE4zJKcj049bgiAMChBv6giXwPpSylRD2U+XPamSbWoMnHU54zWVJM71qWZdmEEDyxrUA4irjGtIFQVMnmWW10S8TgiXWwbdtroxs6guGg6Y033sDkyZPh9/uxceNGhEKJk3JTUxMeeeQRyxYoULDK3p5llEqtxpwy68pzbPPzyDp5vzDxuIyNSRH4hEHlAMxlbMjre1wOJr0DoBKDcwaYpIxW6M+uPeDabhNxfW6babKL5YAsy4Y0Td14M006QVO6cSEriqYpm+VAsjxnYl9/ZWGmifWC7nI66PeVt3uWiMCH9SpEj2Q56ZCB7jlivup3Ow3rZontQPp+YyndquHJght1AycUpt2sNrRG6OdmtDwny9o3zWqBuNGh8JkgtgOAkUyTfYTghoOmhx56CAsXLsSiRYtSOufGjBmDzz//3NA258+fj5EjRyI/Px/l5eW45JJLsG3btpTnzJo1C5Ikpfw788wzdbf7l7/8pc3fSJKEYDD1bufpp59Gv3794PP5cPrpp2PNmjWG3kd7YVWtmeVu+rCGcLjIYCCQjuIIa/24AgDYXt2EplAUOR4nzuhXnHxNc8Jb9XpYMNpBV5fMCPVNZsis0DTJsqxkmjTcg+1SngtF47STiydoopmmLME8j08TwLc/QnTMTvtmmiKxOL6paqI/my3ftnB0oxnNNJOgaXivApTnk6DJeKbJaMYGyKx/49U08cyfU/axsfN2etaalOa65Xq4y5RelwNuZyLg1Dq3kNJcrsfJfIPISr/SXPrZseo8fQa7WdsTw0HTtm3bMH78+DaPFxQUoL6+3tA2V69ejZtuugnr1q3D8uXLEY1GMWnSJDQ3N6c8b8qUKTh48CD99+6772bddkFBQcrfHDx4ED6fEqW//vrruO2223DXXXdh48aNGDduHKZOnYo9e/YYei/tgVWmY0qmKfOJu1ajPEccwZtCUU1zOFaUKdf678Oo/oNYDZzSp4h2/Zi5uBhpgzeq/yJdbv26JTqirMg0NQajiMQS0YiW67PfYw8vFPXr8+xr1kxTtmG9gDHjQoDd3JLVUyoTO6sDKX49R6s8B6i1NXyZ5s0k09RTnWkyrmkyM7Mv0/y5hpbUDG82eC7mSrBn7HKbfgOmlOb4skxAQpBNrh9atgPtYTdAcDokDE7Ooct27ifYUQhueM9UVFRg586d6Nu3b8rjH330Efr3729om0uXLk35ecmSJSgvL8dnn32WEqB5vV706NGDa9uSJOn+zRNPPIFrr70W1113HQDgySefxLJly/DMM89g/vz5XK/VXlgl0GMpzxFNU5mqPFfgd9Phrg2tEU1RMQssxpaASpRrMGgaUVlMv5xmMjY8buCEggxOvtkgmiYrM03ks8zzujQvOHYRW7aoyqBOjrtcmmkKsAVNehdGR9J0rzUS4zruWM0tzXqPqUtzwNErzwHGMk2haAzbkyLwYb0KqWi/ORxDUzDC1VmqeKUZl+KSeWfpWkEaUGdxAyfw3NAZdQMnpN+AHUx6NPXktBsg5PvcONIS0bwhs2LqhB7jTyjDxj31GNyjIPuTocqCd4VM0w033IBbb70V69evhyRJOHDgAF5++WXMnTsXN954oyWLa2hI3KGUlKT21K5atQrl5eUYOHAgrr/+elRXV2fdViAQQGVlJXr37o0LLrgAGzdupL8Lh8P47LPPMGnSpJS/mTRpEj7++GPN7YVCITQ2Nqb8a2+ssBwAlDZ/fSF42/JcwjPEvBicVdNEgpRoXE65u87G58mg6bTKYrpeMxmbVsYLohqj5TmS4evbzbqgqVZnhArAJ2ptT4yUQQEl09QUimY8TiKxOL0g6JlbAur5c+z7ntXcMofhu6fHV0kRuNdgd2Y6PKUjI2OUtlcFEInJKMpxo3exH7leF52dyatrMqJ3SyfT/DmqaWIuz7HrLc3MywPU+z3xPSYDj3tyisAJeq7gpPpgZr6pHreecwL+e+fZmDKMLelBx6hE45Bldo1he2I4aLrjjjtwySWXYOLEiQgEAhg/fjyuu+463HDDDZg9e7bphcmyjDlz5mDs2LEYNmwYfXzq1Kl4+eWXsWLFCjz++OP45JNPcPbZZ1MhuhaDBw/GX/7yF7z99tt49dVX4fP58P/+3//Djh07AAA1NTWIxWLo3r17yt91794dVVVVmtucP38+CgsL6b8+ffqYfs/ZaLboLkAZpZJdCN4tLZtUZIErOKugPUVfwnhBP9wUwu7axJDeU49TgqZgJM4VeKlp5dB9EFhM5NIJR+PUjoFkmqywHNDqhFRjtM3eahS7Ab6LS4HPTTNTmZoU1MFFNmM9I12bSnmufX2aSKZpRN+EVs+8aWvieMvhyjSxf/c3Uz1TIRVvd0+W6Ko5S3RBg0G1GsVywJruOZbzkpHRQGoK0ywHaKbJQHkO0LcdaM/yHJDI5PLYJJD9HIvLVGLQ0XAHTddccw2amhLp1ocffhg1NTXYsGED1q1bh8OHD+PBBx+0ZGGzZ8/Gpk2b8Oqrr6Y8PmPGDJx//vkYNmwYLrzwQvznP//B9u3b8c4772Tc1plnnokrr7wSJ598MsaNG4e//vWvGDhwIP74xz+mPC+9I0PPzXnevHloaGig//bu3WvwnbJDDmjWds1M5BExKlOmKTU7YYUrODnRZAv+3E5FtMh610+G9A7snodCvzvly2802xTkMLYkFDDMeEqHaHKcDgm9ixMnlpZwjNsXJx2tTkg1RNPU4eU5gxdFh0MZ8ZNJ11RPHZ9dWUt/RkpozOU5hu9eJuJxGV8ng6YxA0oBWFie49A08ZScN6s65wjdCxLBexVn0GQ2YwMoQvD0/dbAMGJHDV95LunTZDbTlK5pMlGeA7TPTU1UCN4+QRMv6lJs0Ca6Ju6g6fnnn0drayv9OScnByNGjMAZZ5yBvLw8SxZ188034+2338bKlSvRu3dv3edWVFSgsrKSZo1YcDgcGDlyJP2b0tJSOJ3ONlml6urqNtkngtfrRUFBQcq/9saqQYo5OkJAIHEBIL9L77aywnagmeMkwjsVnpTmTq9MlHSdDomWI42Wuozc4bIMxkyHdLiV5HpS7nj15kSxoLiBa2ea7KIbMFN+IU0KmYImlmG9BL+BbBC1HMhWniPHs06WNxN76loQCEXhcTlw2nGJTJN15bn20TSRcuKwnuqgyZjtAGk7NycET2qa0r6XLCN21Cgdp9m/m2bLimS/N6Z1z5ktzwU05lo2t3OmiReP0wFyj9PRN3UE7qCpPeuKsixj9uzZePPNN7FixQr069cv69/U1tZi7969qKio4HqdL774gv6Nx+PB6aefjuXLl6c8b/ny5RgzZgzfm2gnQtEYwsmMg9nyHJ1/leHETco5HqejTW3bCldwJdOU/STCKwbflhSdDlfd2WbqmGHFyB2ukfIc0R51y/XArXJuN6trom7gGabYW+XTFI/LpgIvM3fk2VzBWTyaCDkG9gc1t8w2e85rvDxHSnODe+TTcThWzVRkK8/xZZrC0Ti+Odj2+6gETcYyTVZbDsiyTN8TqxCcZ4yK+fKcEqzG4jLdb0bLc3o3dIF21jTxIkmSomsK28OryZCmqb0G8t5000146aWX8MorryA/Px9VVVWoqqqima1AIIC5c+di7dq12L17N1atWoULL7wQpaWlmDZtGt3OzJkzMW/ePPrzb37zGyxbtgzfffcdvvjiC1x77bX44osv8POf/5w+Z86cOXj22Wfx3HPPYevWrbj99tuxZ8+elOd0JGr9kWWWAxlKBOrSXPpnXWxlpokhBcxrO0AujuoZa0ayPmqMBE0FOinwTJBME1l7fgb3Yl6oEFzDowmwzqfp5y99hjMefp8GabyYuSNnDZpYNCtKeY79swuyZppMCMFJ1ubEngUqQXPU1I0sX3mO+LSxffd31zYjHIsj3+dCnxIlK9I9eRzyBk1GrD/SITdQoWicbq85HKOz/HjNLVnOS2bXTQL9aFzG7tpmROMynA6Jel7xoqdpouU5mwRNgFoMbo9Mk6E9M3DgwKyBU11dHfd2n3nmGQDAhAkTUh5fsmQJZs2aBafTic2bN+OFF15AfX09KioqMHHiRLz++uvIz8+nz9+zZw8cDiUerK+vx89+9jNUVVWhsLAQp556Kj788EOcccYZ9DkzZsxAbW0tHnjgARw8eBDDhg3Du+++i8rKSu730R6Q0pzf7eRqx9aCjlHJUPapacpshGikgyYdcqLRG9ZLUES5bBeZRg1BZz7jQNdMKEJw9nsMQ+U5mmny0m0cbgpZlmnScgMHrBuj8vG3tQiEovj6QCPGDyzj/nujmiYge9DEI/Q1JgRPBtaMQvDWcExXM6kFmTl3Ys9CU0Oh1RgqzzF+j8jxXJ7vTXmfxKuJW9NkoCEjnXyvi9qmNAWj8LmdVNjucTmY7Qx4bjR49nGm13I7JURiMs3c9SjwGb4O6Gma7FaeA+wjHyAY2jO/+c1vUFhYmP2JnGS7Y/L7/Vi2bFnW7axatSrl59/97nf43e9+l/XvbrzxRsvsEqzGyq4GJdOkfRDSjIdGOaeY88SpBc9JhFeUq+Xsa0SUrYbc4RjRNPEEasSjqU2myWQJhmw3oxCc6GxMZJoagxF6jB5uMphpMlHGyJpp4nB8NmKqSrvnsmWavCobjVg8qxkmQZZlOnPuxJ4FdCh0OBpHQyuf35EaLnNLTk0TyZCmB6rlBaR7jlfTlCyBmvBpcjgk5HtdaAxG0RiMoCzfmxJQswaxRspzRoMmSZJQ6PegJhDC1oOJwJl3fIoa5YYus0+TXcpzgPJ520XTZGjPXH755SgvL7d6LQIdrDyYs3XwaHk0EaiuwUR5joyQYOnQ4BHlyrKsmVEwW+YiGRgjmiYyGJNlJAG1eUgGAGaDPUI2ywGeC0AmDtQrzSGHjZbnTFxcSrKMUiElJRbNihFTVebuOdUx1BqOMQdN1U0h1ATCcEigxoAFPjdqAiE0tEbQu5h5qSnw6ITU7vqxZIlID/JdTLd46EGCpqYg83eDd616FPjdaAxG6fp4O+cAPusIo1Yaagr9rpSgyagIHFALwTNrmuxUnrPLmCcCd8jeXnomgT6k08GKgzk3i0/TYb3ynMH5U2pIRoNJCM6RBWkOx+iE7tSgSbtjhhVjQnBlMGaAsbRY15za5WaFMWcwEqNBV7ZMUyjKN6RWjTpo4s0gEMy0lJdkcQXnyTSZ8WnKtnaX0wFPMrDiGaVC9EwDyvLo+gozDJ/lwYi5pSyzZT+1SuUAUJY8r0RictZ5gWosC5rSMri8w3rVa+Aqz7mNn7vJzSrNNBkUgQNsQnCzulkroZommwzttVX3nCAzgWSAY8XBTIKVTJomWibSLM+RTJOJE3WI/UTNI8olFw+3U0o5sZI7XaPBR2uE36fJ53bC4+TrfqsJpO53swJ2QAnEXA4p40VBndkxKrY8UK/oUwxnmkzckZOgKVODApcQnKOdnMBqbgmou1fZt79lf+JiqfY7omLwVuPHBzW3ZNjnHpeDrp2lPE+CkvTB3G6ngwbwPGJwI+OMtEi3HeAd1gvwyQas0GKRz/pAQ7JzzqBHEwDkeZNZcK1Mk0WjuqzEbvPnuIOmeDwuSnMdgJUHc26W1DIRgpdpZJoUc0tj5blILK5YJ3AJwbN/YRrohTG1689s8GH0ZK2nHdCibfdc8u9N+DQppbm2nZAE9ZBaoyW6lPJcE/8wVvVrmxGC12bVNLH4NPFnmljLc4AxV/CvqQhc8YNTgibzI4JY9zlPeV5PfG/EdqDVQJlcizaZphbtMqIetKQdiWXNzpq5GSCklw6tKM/paZrslGmymxDcuKJOcFQh5TkrDmaiaWoOa7crU18fDQ0MyTQ1h2OGxpKoLxRWC8HrW8mk8tR9pOXNwoMyXZ3v66JkuBjLc22658xfFGt19GkEh0OiF3ujuoHUoMms5QD/MU4zTc1hzWM6U6lICyNBDWt5LrF9ftuBA8nRGWQmIWB8vqEaXpFyuju1HiSTozXR3ojBpRXmlkDq/Lm9dS3466eJaQ5aN4mZUAeZ2bKzLSYdwYG2AZ0ZITi5hmjJFewYNHlpeU4ETQIOrCzPkW3IsvZFMr2LS02+L9GyCyhBCg8k+HE5JFq+0oNHCJ7pwmjap8lgBoQn09QajlGNS5tMk4nyXDYROIHaDhgNmhpU5TmDQZMZywESzEfjsubFgGRGeLrneO5sQ1yZJv7tN9EARNUVakHQxNuxWJxLvJqyvyZLpqmqgSPTZKEQHAA+2VWHaU9/jF01zehV5MdVZ7Lby/jd7NlZK8pz6cctz/y2dMhNZDgaTyl5ybLc7rPnjKDoxzqppknQMVhZnvO5nDTwSa9rR2NxqgvRyk44VNoYlhNnOoqxpZOpqYCn/TvTSZoKqjXGBrBgVKCs2A5kD3pIac7jdNCgtsACc0vaCZnBDZzAO64mHXWmqTEYNRR8meky8rmdtNybbjsQjytdlSwdUrzeYIAynzCb5QCgGpjNFTQl1q+eO2k20xSOxmnjRA6jSJl0H7KY22bSNAHK/LlqjlKuFeaW6vWs3HYYNYEQhlQU4M0bx6B3cQ7zNhwOiWaes31nrCjPqc9pPreDS3+VjvoaElDdYLSEYyBJWjtlmnw2sxwwFDRFIhFMnDgR27dvt3o9ggxYWZ5zOKSMM7DqmsOQZcAhKXfv6Siu4PwnazpChbEEQ+/KGUS5DRl0K1T4aVAwa/Rkne9lF6DXqbJ7JJi0ItPEOlPLjG4gFpfbZAyMZJtaTGpWSvK0vZqaQlEQ2QmLboXXp0mWZVqqzmZuCSiNGDxCcJI9szJoUmeZfYzGrTzfJTZNE/txopRvzd3rq8uFYwZ0w+s3nEnXw4OfoWwUicURickpzzeCOkjqWeQ31cXudEj0GFffNJPGIIdkPjC1Epb9fDQxdPS53W5s2bJF2A8cRZotLM8BmUepkMxESa4now9LoQkxOPlist518WRAMnVIGZkDp8aoloLH6oC6gaeMf7HGcgDIvr/VwlZeagIhOtqBaC2MdNCZMbcEgJIMQ3tJRtTvdnJpjlj3RUil7WPJNPEOBA5FFf2g2sTS9EzF5Os7GUvlAJ8NBlmXVqDaw0B5LmjCkkLNyL4lyPe6cOnpvfGXn56hmQljgUX7pj6GrOieA8x1zhHIe1YH3E0qPZOdru2+rhA0AYn5bosXL7ZyLQIdmiwW6NGgKS3TpCcCJ5hxBSd+SzkMHk0Anyg3k5meOmNjxDLD6Ew0vXEF6ZD9XqIadWJFpoleaLKYKJq5myNT13sU+OiIDCOZJrPT4NVicDVEe8da0iB+OsxBjUprwZRp4iz/kc9fklLNbc1mmsjr57jZSuWA+kbAnKap3EB5zqruuWG9CvHlfZPw2x+dTD2zjMDSZUnW7JDAHJhqUagyZTUjAieQ/a/O9FEJiI1Kc4D9fJoM751wOIxnn30Wy5cvx4gRI5Cbm5vy+yeeeML04gQKgaB15pZA5g4edYt6Jsy4gpNyIKuGgkc0m03TFI3LaI3EaCDGytEQgpPsiFp7ZIWmidUuwUym6WDSo6mi0EcDF0NBkwkhOAAUZ7Ad4PFoAviF2kRM63RIcDE1N/CV/4g2KM/jSnHPtqo85+MIUml2K0t5LhSN0YuctqYpceGvCYQRjsaZgpegAb+0TLC6kOvBcqOhZE/NZW9SMk0mROCEHgU+bEIDqhoULaId584BStBkF0dww3tny5YtOO200wCgjbbJTqm9rgIdo2LRAU2Cr3RNE0uLOu8MKjUkSGPNNPGIcjOJfXM8iSHHsbiMpmCUK2iSZZm2FPPe4fJYDmh1LJLPOhiJIxKLw23gTpWcaLKVjeiJKcx/N0dE4D2L/HTN1R2QaeqWweCSZ1gvoNY0RZmG6pKLOUvnHJDdJy2dJg09E2DeSsNIOZS1qYIEVZKkfc4qyfHQIbSHA6Gs3WBRlb+bXfQ2LMGv2blzhFRNk/lME8lWHVSVR62uZliF3YTghvfOypUrrVyHIAuWa5pIpimknWnSDZr8HSAEN5FpkiQJeV4XGlojaApGuESfoWicdpTw+jTxZJpqqZasbXkusY0ozeLwQPVYWS7oZuY77VcFTWQfdWimKZBenuNzfCYXuLic+PyzBcshzqCatztPCZpS10/E/Q2tEabgLh0jFg+sQnCSHc3zujSzOg6HhPJ8H/bXt6KqIZg1aAqqdGNmAxCrUPSWmfeFVTYJlmeakrootaaMlOfsNHcO6AKz5wQdQ5PF5blsQnD98hw5WRsQgqssB1jgac/W6xQroHO6+PRB6rsb7kwTjxC8uW1Z1OV00KDR+AgYxvIczTTx66cONpCgyUcNAnmDJnUmwagQPGOmiWNYb+L1le8YS7DOM0IFUN2wMGea2toNAMqFNBKTDV1QjGT2WIdfs2T3qO0Agyu4+nvIup/bG3KcspXnzAVNbqeDakmPK2G3RsiEVqaJnJutqmZYBTnvhjqjpmnOnDl48MEHkZubizlz5ug+V2iarENtOmZZeS5DiYAp05T88h5pNpNpYjuJkGCnKRjJOhFd70SdaP9v5Q4+yIXF7ZS4y2M83W9KWTT1wp7vc6ElHDMsBg+xCsFNaJrI3LmehX7Ek2k53u65VhPBKYFYYWTSNLFmmpwOCR6XA+FoHC2RGIqzPJ9nhAoA5NDSOG+mKfW7n6sqOze28pWdAZPluSzHo55HE4FnlIoiAnfYRv7BVp5L7Cez4nUAePyyk7G/PojKbrnZn5wFJWhSNE1NNhWC2y3TxLV3Nm7ciEgkQv+fCbsc1F2FYCROfWasOqCJpijd3JIETWW6QVNSCG5AS9HMMawXUAKguJyouWe6c43HZXqi1jIwVIIv3kyT8dENPN1vRAiuLs8ltuHGocaQYTE46/pp0GRS00SyRTWcmSZyQnRIxjMJJEvXtnuOzatKTY7HiXA0zpR54xmhQrYNcAjBaaapbdm50O9GXXMYDa0R2rnIilKeYz+nKOU5/ZIgS6apnGQlGQJsq4wtrYTFDsUKY0vC2YO7m94GoSJZnjvYEKSfI7kW2K085+3Mmia1jklomo4eRHQpSdZ8+QAl+Eq/29XyC0qHpIkbDHTPEZNK1kyT1+WE3+1EaySGhpZIxpNwNgND1rJCm/WaaHNmtRyQZVnpWsxtm2kCjBtzshoCGr2bC0ZiNLPTs8hHS06Hm0JcOhu1nsnoTVdxBp8mmmliLM8BiTb8ekSYAhuiaTraQnAAKUETL2bKc9k6UfXmzhGKOExyrdIGWQlPec5O6wYUy4FQNI76lgiKcz1U35pvs6CJWg5kmfF3tGiX4vAXX3zRHps9ZqH+GSbbVtWQk11A1T0nyzLV1rSXEFzJNLGfRGi3no6GimSZvC6HZoBj1PPIzMmavGYgFEVMZxJ6czhGsxXpwap5Y05yQW8fnyaiicjxOFHod9PyYjgW57qQmxnWSyCDjgOhaMpMrQY6yJk90+TjyAYp3XPtKwTXuhkgujlDQZPKp4mVXI8TpEKu911iGZBcTMv82W++6M2LTUTgAJtJqdmO0PbC53bSGzTyHbZyVJeVKHpLe2iaLAuaGhoa8PTTT+O0007D6aefbtVmBVB1zll4MNNRDqoTd0NrhFr+62WaSJmjNRLjvsiSEwxPCpjFj6YhS4eU0fZsM2UBdWYgvQyqpi6Z3fO7nW3u3AtMGlyy+jT5aHmO7/NUl+YkSYLX5aSfF48YXGnNNn5Kyve5qIu9Wm+X7djQgqdrk2aaGLsreTNNjRmE4IC5ob1G2uElSVJ5NWV+TRZNU3EG4b4WJHvIE/i2NyzluRaLhODtASnnVjUmvsNNNi3PKULwLpJpWrFiBa688kpUVFTgj3/8I8477zx8+umnVqxNkISU56w8mHM1utJI51y+z6V711ygujjxnqypC7GRTJNOZiubhsJo8EEdtQ2c9LwuJy3Z6GWK6lqU0TXp8LiKa8GsaTJYniNBk9ql2EgHXZBcXDj0Nek4HJJKDK68Nq+5pXodTOU5zkwT0ROm231koimDpgkwZ3BpVG/D4grOomlSTHKzr53YWmSzJjiadObyHNC2g67Zpj5NnVoITti3bx/+8pe/4LnnnkNzczMuu+wyRCIRvPHGGxg6dKjVazzmaQ97+1yNEzeLCBxIFaDWt/D5Hil3XvyZJj3hebYLo9EyF3VNNihOzve5EQqEEpqkDG1Y5E5bKxNSwOH1lE4sLlNhdnv5NJHOOfXFrCzPi53VAa4OOiPu1FqU5LpREwjRTJMsy9w+TQBfCY2WQBkzTbyz7Wh5LoOmCTBmcGn0gp7IHrXqWmnozZ0jlOSwZ5q0jrOOhuUYsaLs3F5UpHk1Wd2hbRXE+y0alw2b/FoJ96ufd955GDp0KL7++mv88Y9/xIEDB/DHP/6xPdYmSNIe/hnU/0gjaNLTMxGU7A+fGNxQpimpodITnmfNNJGuH15Nk0lHX5ag50izXqaJfdZXOmpdT/YxKolTgZnyHMFIpokG0ybvyEtyUzNNWw820TEdLMc1gSewod1zrJmm5HcvEpPpIF49sgnBgaNXngPYSt1smaakpqklknUmJGmNt2LumlXwlOfsmGki5TkSkFJzS5sFeOosuR066Lj3znvvvYdbbrkFv/jFL3DCCSe0x5oEabTHwUzHqKi+8CydcwTS1s8rBif6rPYrz2mv3WimyWyrM4sAnexDUlpK/Xvj5Tl1AJR9YG9indyZJo2LGWkl5xmlYpVgNn1o79tfHgAAnD2onKsDkmc+HDW35Mw0AYnPKNvcNZbynKFMU4Q/6wuw3YCQbk9dIXjyswpH41lnQmoF5x0NS3kuaLAEejSoSNM0BWw6e87rckCSAFlOyA3yOzhu5s40rVmzBk1NTRgxYgRGjRqFp556CocPH26PtQmSNLXDwaxXnmO5IycXeF5XcHKi5hKC52S/m852Z2u0e87skNB8hlld5AJfrFE+MrpuQBk94XE6sg4o9ZsUgvcymWmySvtBgqa65jBkWca/kkHThSf35NoOj5cSr7ml2+mgE+/THfm10Ms0mRGCtxoU37PcgJD16FkO5HqccDuTwv0sN1/7iYGqjYImHnNLu3XPAUqm6WB6ec5rH7E9gGSDiX28mriDptGjR2PRokU4ePAgbrjhBrz22mvo1asX4vE4li9fjqampvZY5zFNewj0FCG4saCpMMdopil5EuG4OJLynJ6mKVtbudHuOdaBt5lgCXqIELxYozxXYMJyQO2inA0jlgOyLCtu4GaDJssyTYnXrmsJ4/M99dhf34pcjxNnDy7n2g7JerSHuSXAl8nKNHsOMFueI99FzkwT/S5l1zTpZZokSVK8mnRsB0LRGD032UrTxKADtHN5Tq1pisVlVWez/dZq1BKlPTCsqMrJycE111yDjz76CJs3b8Yvf/lL/O///i/Ky8tx0UUXWbnGY572EYInthWMxKmHEMvcOQINZDiCplhcphcYQ5YDTOU57e12hE8TwDZ2gujCtMtzJjJNRFzNsHYjQvCG1gh9fg+T3XNWXVxKksF8XXOYZpl+MLQ7dzDGolch8JpbAoq5azaheTASo2L+9tI08ZaOlPKc9muq3fn1LAcAlVeTjl6RCJV9bgeXmL+9UQLrzlme65Fs4GkJx1LGqditPAeoDC5tMH/OEhn6oEGDsGDBAuzbtw+vvvqqFZsUqGiP8pz6S0yyTTyZpjwNn6dsqJ9rSNOkUwpUvHi0Az5SxgiEo4jrGE2mY7SEQVAcvXUsB5ozZ5oUJ3P+oIlczFkCBh8RgkdiWUW5BNIGXprnSQnMyjjGYxCsuriUJI/dmqYw3tl8EABw0Sl8pTn1OljKlbzmloAyf645pL99EphIUsLcNh2qaTKQiWT18EonP0vWtjms786vppjBFXx/mheYXWAp4QYMmPkeLfweJz237qgOAEiU8nmO46OFnWwHLO3dczqduOSSS/D2229budljnvYoz3ldDriSOpeWUOJCWd2YtBzIz55pYnHDTYdcgHjni1HLARM+TSR4kWUlCGXBvBA8e9BTT4XgmTVNRi6KxEGXpauLvD9ZVspN2dAqzQGKZUVdcxiRGNu2rBpsStrYP99zBIebQij0uzH2+DLu7fBompTyHPsxrXTn6R+L6iGqWro0S7rnuC0H9LOfZC2eDO78aoqpV1PmGyI72g0AyrGqd6NBMji8cwGPFqRE920yaLJjaQ5Q5BGdujwnOHoE2iFokiSJnrh3Vgcw87kN2F/fCqdDQq+inKx/r+Uono1mWg7gGwdTxCAEJ4FHpjtbr8tJu5R49EE8JS4t8hksB2imSSNLRsob4Wg8xUKABWXt2b/m6vfHKgbP1AZenOOhAXkNY7aJBHimM03JbF00meo4b3iPrN1pWtCbAhbLAcZRNWrI+8yWaVI8mvS1esEI//HRarg8p5/dYumcIxTnklEqmb8ftHOu0F5Bk3q/aZWNAqEoPS/ZLeAjkO/u9kMJLbIdS3MA4HcrmfCORgRNnYD20DQBiq5o1pINWLOjBl6XAw9ePIzprkjxeWI/iI14NAHKyTcUjWe802DxhWHRF6XTalnQpP2asizTE6uWT5P6JMbd+RdlX7vb6aCdTKwnpv0Z2sAdDomWeFl1TUZLRemk78MLT+IvzQHq8hyDuSWxHOAIzlj0MIDabiCzVo/cf/Bmm4yK77OVnGnnHMMFuIjB4JIG50X2ytaov1daN4/7jyTWXeh3a4r47QA515PyXJ7NOucIPpFpEvDQXv4ZJGiKxmWcelwR3r11HH486jimv+XRfBCMCk/zvMrYFq0SXSwu04BCTyhawKAvSqfVKsuBDHflzWFF6KuVaXI6JBosc4vYw3wBH69u4CApz2lkAHjF4Eonl7mgiWQuyBpG9e9maDtcPk0GAmuaacoSlOnZDQCJAJVMpec5rsPROM3G8Y6uyXbzwXIDQyhmMMm1o90AkPhukkBZ6zuzv74FgH2zTABQkRSD76RBkz3Lc8r8uS4iBBe0L+1RngOAkX2L4XE5cMeUQfjbDaMxoCyP+W9ZT/pqjIxQAZKtyf7MYnD1xULvRG2kEy0YNpcByab/IK3WPrcj42uwlPi0CHJqbXi9mo7ozMzjD5qsyTR5XU76PTl/eAUNtnkhzuRsA3v5M02sQ3v1jC0JLD5m6ajfF+8+zyY+ZxmhQihiEIJreYHZBb2bx33JTFPvYvutm0AyTU3tVM2wii4jBF+zZg2uvPJKjB49Gvv37wcAvPjii/joo48sWZwgQXuV5x6ZNhyb7puEGyccDxfnPB8tR/FstISMlecA5cKglWkiF4scj1N3LhE5iesZTaajlLiMfVXoa2YKmnTsBghGbQdCnCJ2Xi+URp2MQhlnec7o8Fgtji/Pg0MCpp/Wy/A2cjgaHXhnzwHss+2yZZoAtSs4f9nZ6ZBoWZYVtY5KawyM3nGRTnGW8lzCC8x+buAEPWsKUp7rZeOgqSItS5xn0zIi+W516vLcG2+8gcmTJ8Pv92Pjxo0IhRInx6amJjzyyCOWLfBYJx6XqYDa6vKcJEmGtTrKycKAENxA8Fek0yXEWg5QtBgcFxfOElfG18xwV64nAle2YdCYk3PtPs67Ob1BuGWco1SMZiG1ePonp+HNG/8fTupdZHgbPAN7wwbMLRVH/myWA+xBE0+mieoL3U7uNv5UnV3b12T1aAISA5aBzEFTY2uUHht2mjtHoNlZje/MvnqSacreWNNRpOtX7Vqe6xKZpoceeggLFy7EokWL4HYrX44xY8bg888/t2RxgtTyl51SpzTTxCEEJ6LaXCOZJh2DS+agycvvrm3W3JIEPC3hGKIa7ffUbiDX2rIiwCcEB/jLc3r7nbs8ZyILmU7PIj9O6VNkahtGBva2hxCcBCB65TkSnPAFTcbLoWqdnZaVBo+miZTn6jN0z5Fmg265HtN2FO2B3udIynN2LCsS0gNRO11j1HQJc8tt27Zh/PjxbR4vKChAfX29oW3Onz8fI0eORH5+PsrLy3HJJZdg27ZtKc+ZNWsWJElK+XfmmWfqbnfRokUYN24ciouLUVxcjHPPPRcbNmxIec7999/fZrs9evQw9D6shOiZXCrRoR3IVWmaWM0Qm02cqOnJVUPTVM94kiZOxlyaJpNdXeoMQUDDH4or08SpaaI+Te0gBFe7Pmvt93JOg8uWiHWZJisgQVMkJmf1mgqasRxgLM/pZW2MZJrMmonqNVWQQEpv7hyBHPdNoajmfrZzaQ5gK8/ZWdOU63WldDnatXuuS4xRqaiowM6dO9s8/tFHH6F///6Gtrl69WrcdNNNWLduHZYvX45oNIpJkyahubk55XlTpkzBwYMH6b93331Xd7urVq3CFVdcgZUrV2Lt2rU47rjjMGnSJKrDIpx44okp2928ebOh92ElzarOOTu54ZIgIs5hhkhnGxm4MOoZXLKX5/iDD3Jnw2IQqYXb6aB6KK1gTU9MTcgmJs8Erx7LzyF+DmRxfebPNNlr3IQ6SM6mazJibplrkeUAYLQ8Z7bsnFmrx5NpKvS7qWWC1nf7QAMJmuxXmgMyl+eCEWVenp2DJiBV12RXc0ufjTRNhm/rbrjhBtx666147rnnIEkSDhw4gLVr12Lu3Lm49957DW1z6dKlKT8vWbIE5eXl+Oyzz1KyWl6vlysL9PLLL6f8vGjRIvz973/HBx98gJkzZ9LHXS6XLbJLashJyUig0Z6oMwIt4RjTyddMCUYZpZJZQ5E10+TLXFLQQpZlSwbJ5vvcCEZCmsEaCZoyjX8hfw8YCJp4heAcJSlSJvVmcH1WB02yLOsG/NFYnNou2CVo8jgdcDokxOIyWsMx3WNLmT3HvnY/Z6ZJL2gqMBE0Gc406cyf49E0OR0SCnxuNLRGUN8SpscNgbiBpwuW7UImPy9SVsz1OJmCx46kR6EP25LmlnrHWUfCq7dsTwzvoTvuuAMNDQ2YOHEigsEgxo8fD6/Xi7lz52L27NmWLK6hoQEAUFJSkvL4qlWrUF5ejqKiIpx11ll4+OGHUV7OPsW8paUFkUikzXZ37NiBnj17wuv1YtSoUXjkkUcyZs1CoRAVvwNAY2Mj8+vzQEo6djuYnQ4JPrcDwUgczaGobqaEYKYEo3c33aAjSFbDK6iOxGQ6zNiMniLf58LhppB2pimp5SjRWTvrcNd0eN3Mecpz2bIJxNyyNRJDSzimO6BZ7bptl/KcJEnIcTvRFIrq7vdYXEYkljhGuCwHvJnLOmpIpydLeY6nUSBoshxaoPNd4sk0AQmvpobWiKbtgJ3tBoDM5Tl155ydKgRaqHVNdi3PdRlzy4cffhg1NTXYsGED1q1bh8OHD+PBBx+0ZGGyLGPOnDkYO3Yshg0bRh+fOnUqXn75ZaxYsQKPP/44PvnkE5x99tkpAUw27rzzTvTq1QvnnnsufWzUqFF44YUXsGzZMixatAhVVVUYM2YMamtrNbcxf/58FBYW0n99+vQx/mZ1aI+5c1ZBRZCMB7IVmSYtITgxxmPtnmPN2KjflxnTRT0zQGo5oBN08hgtqqGlRU6fpiDD62QLVHM8ytgaPbdnQCnNuRySoZEn7QXLflePLuEJrP1uVp+m9uqeaz+nex6fJkA59om+T43tNU0ZsrOKR5N9O+cI6g46+5bn7CMEN3wlnj9/Prp3745rrrkGI0aMoI8/99xzOHz4MP7nf/7H1MJmz56NTZs2tfF8mjFjBv3/sGHDMGLECFRWVuKdd97B9OnTs253wYIFePXVV7Fq1Sr4fMrBMnXqVPr/4cOHY/To0RgwYACef/55zJkzp8125s2bl/J4Y2NjuwROtDxny6DJibpmJbDLBi0JGPhiFvkzC8FZ72wVzyS2iwvxOXJI4PayUaM3doJFCK54YnWeTJMkSSjJ8aCqMYgjzRH0Ls68LaPjddoblg46tUMxT8DHaliqBE063XNmLAcMl+cy6wP5M02Zh/YqQZM9NU2ZzC07gxs4Qe3ob7eKBqFLWA783//9HwYPHtzm8RNPPBELFy40taibb74Zb7/9NlauXInevXvrPreiogKVlZXYsWNH1u3+9re/xSOPPIL33nsPJ510ku5zc3NzMXz48Izb9Xq9KCgoSPnXHlx6em988+AUPPXjU9tl+2ZgdTUmmNFRsJhbZruzzefUNKntBsyk2At0RqlQywGdoCnHYKaJd24ej26A5cJIMwjZMk0WejRZiZ/h+CZie7dT4nIfJxm6Iy2RjN2nsiyrLAdYzC2PZvec9muGojGaDWDRNAGp+0JNNBZHVaM9R6gQMl3MO0PnHKFHpyjPJUKVUGcOmqqqqlBRUdHm8bKyMhw8eNDQNmVZxuzZs/Hmm29ixYoV6NevX9a/qa2txd69ezXXouaxxx7Dgw8+iKVLl6ZkxjIRCoWwdevWrNttb4gBpR0HPvKWjZS7WxPmlppBE5k7p6+r0gtetLBCBA5kLmXIskwDCj2fJjoc2XB5jk8IzvJ5sgSq1LhQo+yixqwoub1gGdobMthdSYLkcDSeMUgNRpT5cHpBEz2+GDO+gPnynCIET31NYhwrSexZi0yZpuqmEOJyIiAlDvN2I1Ngva8TuIETKjpBea5LZJr69OmD//73v20e/+9//4uePY1NFr/pppvw0ksv4ZVXXkF+fj6qqqpQVVWF1tbEARgIBDB37lysXbsWu3fvxqpVq3DhhReitLQU06ZNo9uZOXMm5s2bR39esGAB7r77bjz33HPo27cv3W4gEKDPmTt3LlavXo1du3Zh/fr1uPTSS9HY2Iirr77a0Hs5FlDErHzlOTOWA02haBuTyAZGTVO28Q/pmHUDJ2S6qLWEY3QdekJ6lou3FtzdcxxiS6ZMU05mrYoaGkzb7ITNkuGjxpacY3YSI38SmalMc9dIcC9J+t8Z8rnxDDM1G6hmGkRNynV5XhccjJm3YpppSj1OSGmuR6GPeVtHm8zlOXsL2NWoM02sOrSjjbcraJquu+463HbbbYhEIjj77LMBAB988AHuuOMO/PKXvzS0zWeeeQYAMGHChJTHlyxZglmzZsHpdGLz5s144YUXUF9fj4qKCkycOBGvv/468vPz6fP37NkDh0M5iT399NMIh8O49NJLU7Z733334f777wcA7Nu3D1dccQVqampQVlaGM888E+vWrUNlZaWh93IsQDMgjK7gZlyI1RfnxmBqtx7PGBVJAmQ58Tfp7c3p8GZqMr+u9gWGXCQ8LoduYEONEDnc1wG1psl6nyaeoCmrEJxcwN02K8/pGBcSjBhbAskh1DkeHG4K4UhzWPPiSkeoZAlAyDrDsTiisTjTHMlWs5YDtDyXGsjz6pmAzEN7SeDR06Z2A4B2BiQcVcqKnUEInu9zY97UwYjE4swl1aMNOYfZIdNkynKgrq4ON954I8Lh5KR2nw//8z//k5Ll4SGbs7Tf78eyZcuybmfVqlUpP+/evTvr37z22mtZnyNIJYezFZ48z0gK2OV0IN/rQlMoivqWMA2aIrE4LVtlO1E7HBLyvS40BqNoDLIETeZGqBAyaakUuwGPrmaKt0uRcDR8mpg0TYzlObNlUKvRm2BPMJppAhIZlsNNoYwCbsXYUv+4Vgf1wWgceSxBE6feLZ1MPk08Hk2ETOU54tFkVz0ToOwHomECgKqGIGQ5YUFRmpfdisUO3HDWgI5egi52cgQ3HDRJkoRHH30U99xzD7Zu3Qq/348TTjgBXq89a88C6+GZBA8omRKjGYXCHHciaFJdZNRC1AIGDUWB343GYJSp08js3DllXdqWA4qxpf4FRsk08ZXneC+Myl1z9hQ4izdWSYaySzpmgun2hEUIbsTYklCUJRPHYjeQeG0lSApGYkz2JGbF95kMV41kmoieLz24PmhzN3AAGNWvG1wOCdsONWFndROOL8/HPlXnnN09mjoLPgMl6PbCtClKXl4eRo4ciWHDhomA6RhDPX8uG/G44q5tVLuiNbSXBFD5XhdTWYLH04ZqmiwSgqd3GrGMUAGUoCkUjVOzzWzIskzLi6xZECM+TZZmmmxWnqOZ1Ejm45vuYwP+UsUZusYILHPngEQGlZYvGG9gWiMmLQcyHNMkm8oVNNFMU+q27O7RBCSO8fEDywAAb39xAEDnEoF3FtQlaNZzYHth+iz19ddfY8+ePbRER7jooovMblpgc1jKFwR1ycfoiZoaXKpO1Kx2AwSe9mw6u82k4WImTROLRxOQ6tHVyphJUM8DZM2UWW05QILBIxkm2BNog4DNMk1s5Tk+3ZgaGixkCCpZ5s4R/G4ngpE4c/mi1WRJtEDVmBGLy9RugZbnGIb1Euh+aI2kjNzZ3wnKcwBw0ck9seKbarz95QHc/oOBncpuoLOQUoKO6E8YaG8Mv/J3332HadOmYfPmzZAkieqRyAEfi3V87VHQvuR42YXg5MIoScaH31KDS1U5g7ccoDf+IR2zFxZCJssBkmHQsxsAElkMImBvCUWZgib1xZO3PMdjOWCJEDxZdrSbponJEZxmmsyU57SPxUbOoOkIIuzu/GFzpWf1mgKhaJubET4heOK5sbiMxmBiW/G4jH11iTKXnYXgAPCDod3hczuwu7YFm/c3UAF7ZxCBdxbUmdzWDg6aDN9C33rrrejXrx8OHTqEnJwcfPXVV/jwww8xYsSINkJsQdeEZyYaeY7f7TTcPlyoMbS3kUFbk7INjvKcVULwjJqmZIahJEumSZIkbiNRUjZyOiS4GcqWgEoInuXzjMdlplEZNNPUEtZt8qAzCe1WnmPoJgxSTRP/qZQOoc6qacp+bPs4Oh8BJZtoNOvrdTnpe27UyvxyCMF9bif9jpF9saM6gKZQFH63E/3Lcg2t8WiR63XhnCHdAQD//OIA9h3pPG7gnQWHQ6LHW0eLwQ0HTWvXrsUDDzyAsrIyOBwOOBwOjB07FvPnz8ctt9xi5RoFNoVFKEuwwvWZGFyqtQ/1DF1cakjgxeIKbrbDiEDuylsjMURUHlOKEDx7h42fQz8GGAv4yDqbw7E2XlhqmoJRkBiIJdMUicl08LQWrbYtz2XvWgyZsKXI5E9EYBWCq18/yOA/BliTRdUapUL+X8h4E0NI13dt2F0HADitsog56O9ILj454U34700HsLdOaJraA7sM7TV8NMZiMeTl5QEASktLceBAQgRXWVmJbdu2WbM6ga0xkmky4/qslSWqCSQGNbNmmoiAVctZPJ3WsDU+TXnqUoYqWGMVggN8+jFAHfCxf8WLVAGQXiaO/M7vduqWpfweJYOgp2tqtn15TscRPGpcCM5anmPR6/l5jw+T5TlA+S6pM6hGMk2A0jRAvhOfJoOmEZUlhtd3NDlrUBkKfC4cagypynMiaLISxXagYzvoDAdNw4YNw6ZNmwAAo0aNwoIFC/Df//4XDzzwAPr372/ZAgX2xYimyUzQpCUE/3zPEQDA0Aq22X9c5bmoNeU5t9NB37f6AkMCCZaAj3eUihHTRZfTQS+EejokHh1ZCcP8ORLgGXGKb09YAlXeochqSCYus08Te6aJx8dGlmWlJGpin+dr6AOJ2SWPpglo69X06e7E93pk384RNHldTkwZ1oP+7HJIKM+3r1VCZ4TcAHbaTNPdd9+NeDwR8T300EP4/vvvMW7cOLz77rv4wx/+YNkCBfaFZQo8gQRWZgR8hWlC8HA0js++T5xcR/XvxrQNvens6QRpCcN8eUAxuFRe11imiXPYMGeQqtzxZ880sVwYixnmz9k/08RgbmnKciBb9xyHponhuxiJybRt25rynEamiaN7DlBuHOqaI9hf34r99a1wOiScelyR4fUdbS46uRf9f0WRj2uAsyA7PMd4e8J1ZG/atAnDhg2Dw+HA5MmT6eP9+/fH119/jbq6OhQXFwtDr2MEHtNFs74wgEo4mzwxb9pXj2AkjpJcD04oz2PaRgGPT5NFQnAgceE71BhKCZpYLQcA/lEqitaG72JenOPB97UtukEOV9DEMH/OvgN7s2v2aEbPgOVAkSrTpG7bJ/Bpmth9mtTPsaY8p6FpMpFpIqW5E3sWdGiXFC+jB3RDaZ4XNYEQeheJzjmr8XXG8typp56KmpoaAIlAqba2NuX3JSUlImA6huDp6KJu4FZompJZkPW7EifXM/qyH3dc5pb0gmj+Yk465PbUJjprWsMxmqUo5sg0tTDeZRnt/MuW/QD4vLFKcrPbDrRaUCpqD1gyqeQzNGKjQW4CZFnbAkMxt2Qvz7HchROzTpdDgseEB1l+2vy5I81hemyw3AioUR93G5Lf685SmiM4HRIuOKkCANC31N4df50RnmO8PeH6xhQVFWHXrl0AEvPcSHlOcGyinj2XbW6gIgQ30T2nyjTJsox13yWC9jP7s59ceXyaSAaNxRcpG+NOKAUA/GdLFQBF4+NxOqigXg8aoDKOUjHa+VecRZwMWJ9psiKgbg8U3yo9IbjxTJPb6aDHllZQ2chRniNlthDDBcUq/7H0+XMrvqmGLAODe+SjWx7fdAi1KF7RMxWbWl9HMGfSQNx+7kDMPvv4jl5Kl8Mumiauq8EPf/hDnHXWWaioqIAkSRgxYgScTu0v3nfffWfJAgX2hQjB43LijlvvAm2JEDypaYrFZTS0Rrj1TIByoW8KRRGPy7qeUeRO34qg6byTKvD48u34784a1LeEafmrKMfNlCVj0deoCRo0XaSaJp0gp76VbWYewGZw2WpBZ2V7QNYTjMQzHitmzC2BxD4MhKJtglRZlg0JwZkyTRZ0zgFq/7HE2pd9lbghmHRij4x/kwmiffu+thnbDjUBAE7vJJ1zagp8btx67gkdvYwuiV0sB7iuBn/+858xffp07Ny5E7fccguuv/565Ofnt9faBDZHfdJtDkXbPWjyuR3wuBwIR+P4aGcNWsIxFOW4Mag7+zFI7o5lOREU6fnJNNNBsuaDpgFleRjcIx/fVDXhva8PoaIw0VnDIgJXr4HF3gFQled4heAM5Tke1+eSDMNYCVZ1crUH6vVkciE2M0YFSASV+460tjG4bI3EqFjbaiG4WWNLgjJ/LorWcAwf7jgMAJh8YnfubZHgesv+RgBA/9JclOWLWaYCBZ4O0faE+yw1ZcoURCIR/Pa3v8XFF1+M4cOHt8e6BJ0AZ3JQaDASR0s4Br18jxXlOUmSUOR3o7ophGVfHQKQ0D3wOIx7XU665sZgRD9oSpaNrMg0AcD5wyvwTVUT3tl0ENNPS3TasPpL8Yw4AVTlOU7NijJk16ruOf35c8FInBpl2i3T5HOrxteEMwVN5jNNQNtyKMkyOSQwlW8Vn6bskgmlPGfuuFZ3on644zCCkTh6FfmZ7T/UpGugRnTC0pygffF2RiE4we12o7m5GT6f8KE41mEVg7dYpFshF+qV31QDAM7kKM2lbyObGJy4WFvlVH1eUiT635012F2TEISzZ5r4zAtDJjVNmUZ7AJw+TVnKc+rMmRVdilYiSZJS9sqw3xU/LOOZJqDt/lbbDbCUb30cIyaU8pw5Kw2qDwxG8F7yJmbSid0NNQOlB02dTQQuaH86pRBczcyZM7F48WIr1yLohOR42cZ70PKcyawNuTMnAc2ofvwnV5agKRyNI5zMIliVaSIlumhcxt8+2wuAbYQKoGQFmMeoJNfOX57LrkEylGnKGDQp+hqjMwnbE6VrUXu/0+45gwFfMZ0/l3osNnLomQDlc2YJmhT7D7OZpqSIvTmCD75JBE2TDeiZAKAobWi1CJoE6XRKIbiacDiMZ599FsuXL8eIESOQm5vaYvnEE0+YXpzA/pAhq9kyIORin2Mym0AMLoHEBWWIgVIASwed2nvKSq+Y85Ilun1HEqMWsg3rpWvgFIKTz4O/PKddLlJjzHIgoimmtqtHEyGbAF8Rghu7/yzKEKTyDOsF+DRNLRZ1z5G1kbEhxTlujKg0VlbL97rgckiIxmWU5XtR2U34HAlS6ZRCcDVbtmzBaaedBgDYvn17yu+EV9OxA800ZWmFt2ooq1oDdEbfEkOuuyyZJpLJ8roclg4MPW94BZ5YrnxfWDVNOdzdc8mgifPCWKIqF2XqGCNZEZa1k+fE4rKm8J4G0zYb1ksg5edMx3fQhOUAoLLRaKNpIuU5xkwTjxDcokA1fb7cuUO6w2XwuyJJEopy3KgJhDGyrzBIFrTFLrPnDAdNK1eutHIdgk4Kq6apmZ6ozWVt1CUhI3om9Tb0giZyMbeqNEc4vlzpogPYNU1+DiNRQC0E57swksxHXE5oVdLLhyT4AdjKc16XE3leFwKhKOpawm2CJnoBd9urc45APp/agHZ50azlQKZyKDGMZDG2BPgG9loxrBdoOyrFiNWAmuIcD2oC4U4zpFdwdCnKcaNXkZ/bbd5q7HmmEnQaWP2DrPLiKVJ9YUZxmFqqYZk/1xyyzm4gHVKiA9jcwAF1eY7VcsCY1sbjSphtNodjONLSNmhSj8xgPXkV5ya8iOqaw+iX5pRsVamovShNmjTWBEKavzdrOZC5e47d2DLx+uylixaDdhTp+N1OOB0SYnEZfreTGrgaZfKJPdDQuheTh5kLvgRdkx+N6IMfjejT0cswHjQ98MADur+/9957jW5a0IlgvZhblWkiF5k8r8tQazPANn8uYMGA4UyoS3Ss4yZ4zS3JxdzIsOHiXA+aw62aQQ7ZZzkeJ3PZsiTHg711rZqGmS1hazsUrYYETYczBE1GTUQJmbvnOIXgHKULq8pzkiShwOfCkZYIzhpYZlgMT5g7eRB+OWmgKM0JbI3hK8I//vGPlJ8jkQh27doFl8uFAQMGiKDpGIF0w2UbJGvViZrMdBo/sNSwfkIpz2UO9ALkotUOQdPx5Xk4d0h3bD/UhIHd2QYNc49RCRsrzwGZDRcBvs45uj3i/aSxPaV7zp5J79L8xNprmtquXZZlU2NUgMzlOZLZYu2u5DK3tKg8ByTWd6QlgsnD+A0ttRABk8DuGD5Tbdy4sc1jjY2NmDVrFqZNm2ZqUYLOA+mGy9SSDSQuLlYJfsceX4o3fjEax5cbd6JXnIxZynPtkwFZNPN0rguEemCvLMtZ/zZIy0YGgiZVx1s6RoIm6tWkkWlq7/1sljKdTFM0LiNp2m3c3DLZrRiMxBGMxOjntbM6AAAYUMY2+JVqmrjKc+YD1Tk/GIj1u2px3vAK09sSCDoD1rUFASgoKMADDzyAe+65x8rNCmwMyTS16GSaUl2fzZ2oJUnC6ZUlpsSAPN1z7VGeA/jvqMl+lmW2EoxRTROgGqWiEeSQLi8WuwG6PZ1Mk1UZyPaiNDnKo6apbdCk1g8ZtRzI97poByjZt7IsY3ty/toJjDcHJGsUjsbp+JVMWLnPLzy5Jx66ZLjhoFEg6GxYGjQBQH19PRoaGqzerMCmEE2Tnumi3VyfSdDEkmmyunvOKOr9xiIGp+U5A2UjPYNLEmgW8WSadIYA06yHTctzZTpCcGJsCRgPmshoIEDZ34ebQmgMRuGQgP6smSbV8ZFNDE7MLe3wXRQIOhuGz1R/+MMfUn6WZRkHDx7Eiy++iClTpphemKBzkMPQ6tyiuoAb8VWyGpbuuYCFw3qtgGfOH6Du6jKmaQL0gyaeTF+mDjFA0WjZtTxHhOC1zW19q5S5cw5TWpyiHDdqm8N0f28/lCjNVXbLZf781EFbMMNwYYLdOxYFAjtj+Irwu9/9LuVnh8OBsrIyXH311Zg3b57phQk6Bzl0vEf2oCnXJlPs1eW5TPogIgS3S6YJSOzrYCTM1EFnRuxbQlzBNYbsNlqsabL7BbxbXmLtsbiMIy1hdEsGUYD5uXOERJDaTMtzO6oTpbnjy9maBADA4ZDgdTkQisaz6prsXhIVCOyM4SvCrl27rFyHoJNCMgR6XV2BULJN3SbZBHLBj8RktEZimjoru5XngMRFrq6Zbf5c0MRMNNKxpaVBsrx7LmKvgDodt9OB4hw3jrREUBNIDZpCJnRjatJHqexIisBZOysJfo8ToWg8a3nO7qNrBAI7Y7mmSXBsweJUfTgpoi1TXXA6khyPk5YJGzPYDrSnT5NRWEqhABCJKWJgY5kmbe8gQBU0MY5/UW9PM9OUDE7tmmkCMhtcmrUbIKQP7d3BKQIn0FEqYf1GgRaLPNMEgmMR7m/7+vXr8Z///CflsRdeeAH9+vVDeXk5fvaznyEU0jaCE3Q9WMwtqxqCAIDuBb6jsqZsSJKUtYPOjq3wOYyjVNTlGSMXdD0NErmwc2WaiIFja6RNZ1dnyHpkCprMGlsSilVBaqJzLpFpOoE308To1dRikTu/QHAswn1Gvf/++7Fp0yb68+bNm3Httdfi3HPPxZ133ol//etfmD9/vqWLFNgXFk3ToWSmyS5BE5DddqC9Zs+ZIYfRfZ2UZyTJmN6mWKVBkuXUIMeMEFyW2+5vu+ndtChL2g4cbkoPmsyNUCGog9SaQBgNrRE4JGBAGV/Q5GUImmRZpr+3c3ZPILAr3N/2L774Aueccw79+bXXXsOoUaOwaNEizJkzB3/4wx/w17/+1dJFCuwLS8nokM0yTUB2g0t7CsHZRqlQrY3LaairiwRN0bhM/aoIRoImt9NB93ddWomOBIB2voBnGqVykBzX+eaO6yK/kmkipbnjSnK4tVL+ZPCmp2my0jNNIDgW4Q6ajhw5gu7dFcv81atXp1gMjBw5Env37rVmdQLbQ8TdzeFom6wEoaoxcXHpUWgPTROQff5ce5tbGoFm9bKMUmk1mQHxe5z0b9M76Ix0zwEqXVOaTqozdHJlGqWy70gLAKB3sd/U9otVmSYiAjfieE8CT72gyW6eaQJBZ4P7rNq9e3faORcOh/H5559j9OjR9PdNTU1wu427NQs6F6SsoudUfajRmjtyK8kWNNm1ew7ILgRXykbGL4olGl5NsbiMpuR+4Q2aaAddWqbJqkHO7UkmTdO+I60AgN7FOaa2r+6eI07gvJ1zgFoI3nk80wSCzgZ30DRlyhTceeedWLNmDebNm4ecnByMGzeO/n7Tpk0YMGCApYsU2BcWp+pDjUlNU6F9gqZCHYPLeFymF3NbZpqyBk2J4NVMJkHLdkBdyuQZowJk9mrqDJmmTJomyzJNuUr3HMk08YrAAbahvaJzTiAwB3fQ9NBDD8HpdOKss87CokWLsGjRIng8yiTu5557DpMmTTK0mPnz52PkyJHIz89HeXk5LrnkEmzbti3lObNmzYIkSSn/zjzzzKzbfuONNzB06FB4vV4MHToU//jHP9o85+mnn0a/fv3g8/lw+umnY82aNYbex7GEwyHRi7OW1iYQitJSl500TXpC8BbVRceemSa28pzXTKZJw3agPrmvcj1OuJ18pw4tr6ZILI5wLJ7cpn32czqZRqlYlWmi3YUqTROv3QDAGjSJESoCgRm4g6aysjKsWbMGR44cwZEjRzBt2rSU3//tb3/DfffdZ2gxq1evxk033YR169Zh+fLliEajmDRpEpqbm1OeN2XKFBw8eJD+e/fdd3W3u3btWsyYMQNXXXUVvvzyS1x11VW47LLLsH79evqc119/HbfddhvuuusubNy4EePGjcPUqVOxZ88eQ+/lWCJXpWtKh5Tm8rwuWwUgBT4yf67tmokInIwusQuKfoytPOc3sXba0aXSNNG5czkezb/RQwnClO2pg+zOIAQno1SAxD6uTmaezGaayL6Oywldk2Sgcw5QAiG9gc6tNINq3/0tENgZw1exwsJCzcdLSkoML2bp0qUpPy9ZsgTl5eX47LPPMH78ePq41+tFjx49mLf75JNP4gc/+AEd7zJv3jysXr0aTz75JF599VUAwBNPPIFrr70W1113Hf2bZcuW4ZlnnhEWClnw63R1kaCpvMA+InBAP9NEReAeY91n7UUOg2YFsEjTpCHcJvuKtzQHKNkUtaaJvA+XQ4LH5CiS9kQ9SqW+NYKSXA8O1CeyTLkeJw16jOJ1OZHjcdLvT5/iHENBJIsQvJmOrbHPDYxA0Jmw75kKQENDA4C2gdiqVatQXl6OgQMH4vrrr0d1dbXudtauXdumZDh58mR8/PHHABKC9s8++6zNcyZNmkSfk04oFEJjY2PKv2MVUlppCWUOmnrYqDQHqDRNGkGTHUXgAJDjJZomNp8mM0FT+mgPQG03wL9flHl2yvaaO4nJIhmlAii6JnVpzorAuliVvTMiAgdU5TldIXhyn4vynEBgCNsGTbIsY86cORg7diyGDRtGH586dSpefvllrFixAo8//jg++eQTnH322bou5FVVVSk2CUCiC7CqqgoAUFNTg1gspvucdObPn4/CwkL6r0+fPkbfaqeHXPS0y3P2M7YEgILkhV9LCN5sQ7sBgN2nyQoheLFOeY63cw5QgrBajUxTZxAlp3fQKUGTudIcQb1PjdgNAGyO4J1BeC8Q2Bnbnq1mz56NTZs24aOPPkp5fMaMGfT/w4YNw4gRI1BZWYl33nkH06dPz7i99LtBren2LM8hzJs3D3PmzKE/NzY2HrOBE7noad3h2m2ECoGpPGezoIlm9JiF4MbvibTKc9/XJLSFpQZmCFYkOyf3J8tagBKc2mWQsx6leV7sqA6ogiZrOucIpIMOMJ5pIho2pu45mx3bAkFnwdBZNRKJYOLEidi+fbvV6wEA3HzzzXj77bexcuVK9O7dW/e5FRUVqKysxI4dOzI+p0ePHm0yRtXV1TSzVFpaCqfTqfucdLxeLwoKClL+HavoZZqqm0h5rvNpmvJ99rqw6GnH1FhZnlNrkFZvPwwAOLN/N+7tVXbLBZAob5H9S7oUO0PWozTNdsCqzjmCWlxvpHMOUD7vEEP3nCjPCQTGMBQ0ud1ubNmyxXKRrCzLmD17Nt58802sWLEC/fr1y/o3tbW12Lt3LyoqKjI+Z/To0Vi+fHnKY++99x7GjBkDAPB4PDj99NPbPGf58uX0OYLMkIyMlqbJrpkm0j3XEo4hEkvtNqLlOZuVjXJ1MnpqrCjPleSkdrvtr2/FjuoAHBIw7oRS7u0V+t00e/V9bSJjRUtFbnvtZy0U24FEEGl5pkklJh9QnmtoGySoZsk02blbUSCwM4bz9zNnzsTixYutXAtuuukmvPTSS3jllVeQn5+PqqoqVFVVobU1cVcXCAQwd+5crF27Frt378aqVatw4YUXorS0NMX6YObMmbRTDgBuvfVWvPfee3j00UfxzTff4NFHH8X777+P2267jT5nzpw5ePbZZ/Hcc89h69atuP3227Fnzx78/Oc/t/Q9dkX0u+fsZ2wJpHaApYvBAyH7GVsCyn7ONkbFikGyyhDZxNDe1dsSWaZT+hQZshwAgL7dElmZ3TWJgKNTleeSo1TaK9NEhOB9SvyGNV5sQvDOk90TCOyI4atCOBzGs88+i+XLl2PEiBHIzU29O3riiSe4t/nMM88AACZMmJDy+JIlSzBr1iw4nU5s3rwZL7zwAurr61FRUYGJEyfi9ddfR36+ktLes2cPHA7lgjFmzBi89tpruPvuu3HPPfdgwIABeP311zFq1Cj6nBkzZqC2thYPPPAADh48iGHDhuHdd99FZWUl9/s41silQVPqxTwel2l5zm6ZJqdDQr7XhaZQFA2tEXRT6XSU7jl7XVhyGDIJgNqnybzlQCgaR2skhlXbEh2qEwaVG95m3265+HxPPXaTTFNnKs+phOBWejQRuiX390CDpTlALQRn8Wmy1w2BQNBZMPzN2bJlC0477TQAaKNtMlq2yzTwleD3+7Fs2bKs21m1alWbxy699FJceumlun9344034sYbb8y6fUEqyniP1KCpriWMSCzxmZbn20vTBCSyTU2hKBqDqeu2uxA8EpMRjsYzehtZoWnK8TjhcToQjsVR3RjCx9/WAgAmDCozvM2+pYkbq11JQTktFXWq8lzIUo8mwgUn98T26gBmjDDeTMLm0yQcwQUCMxg+W61cudLKdQg6MZla4YlHU2meh3vsxtGgwO/G/vrWNmJwEjTl2VQIDiQyBpmCJivGqEiShOJcNw41hvD+1kMIhKLoluvBsJ7aprYskKCJaJpaaHBq/ws4mT9XEwhZ7tEEJDJZj0wbbmobPlf28pywHBAIzGG/K5mg05GTQQhOgia7leYIxKQxPWiyq7mlx+WA25m4SOsZXFohBAcUnc0/Nu4HAIwfWAaHw3iQ0K8byTQlNE2dSZRcqhKC76mzVgRuFX5P4nQejAohuEDQXpi+Knz99dfYs2cPwuHU6eUXXXSR2U0LOgm5GSwH7GpsSVDmz2lnmuzWPQckAqFILKprO9BqgRAcUMTgXx1IuN2bKc0BQGVpQjRdEwihKRihIz3suJ/TUY9S+epAYlKB3YImJiF4pPPsc4HAjhj+5nz33XeYNm0aNm/eDEmSqB6JpKtjMX2xqqDrQAXKaSdru9oNEDJ5NdnVERxIrKkxGNU1uCQ+PaRcYxQiBgcASQLGnWAuaCrwudEt14Pa5jC+r21BaycZowIkRqkU5bhR3xLBxj31AKzrnLMKklkMReOIx2XNrCApiXaGfS4Q2BHDt6K33nor+vXrh0OHDiEnJwdfffUVPvzwQ4wYMUJTiC3ouihC8NSgSemcs58IHMg8f645WWa0W3kOYDO4pOU5kxdGtbXASb2LUoIooxBd0+7a5k5XKiJi8O2HmgDYL9Ok3o+ZSnSdbZ8LBHbDcNC0du1aPPDAAygrK4PD4YDD4cDYsWMxf/583HLLLVauUWBziJA3PftBMk12G9ZLIF5N6fPn7CoEB9hGqVhVnitRBU0TBprLMhEqqVeTEjR1llIR0TXFk02+dss0qTOLmUp0is1D59jnAoHdMHxWjcViyMtLzEgqLS3FgQMHAACVlf+/vTsPbuI+/wf+1uFDxrKwZYwxPoFAKCItN4QjzpQf/hIgkGH6K2lijhKHthgoVwnfZKCBpB5ISDmmoUCogSGBZEIgpM0ATjGHm3DUgRBCwhWMwUDBpviQwZc+3z/sXUuWbGTr8C5+v2Y0g1br9WeZlfT4+Tz7fBJw/vx574yOVEG6Zdz57jll1zQ1Nj1XptA+TYC7maa6u+c8nJ6zv53e03omiX0xuBT4qSXrEdmgbYbSMk1arUa+o/JBteteTeUqmhIlUqIW/7lhsVhw5swZdOnSBYMGDcLKlSsRGBiIjRs3okuXLt4cIymcnGmqaFgIrr6aJiGEsmuapKDJxZI1Erm5pYdfjNJ0XHhIAJ6Ibe/RsST2bQfUl2mqz7x5s0eTNxkCdKistrnMNNXYhDx1y6CJqGVa/Gn12muvwWqt7beyfPlyjBs3DsOHD4fZbMaHH37otQGS8kmp/vKqGgghoNFoUFFdg6K6xV6VWtMUXhcUFJbW3/lZUW1Ddd38ixKDphA3puekL0ZPmlsCwNBukUgwh+CXA+Kg86DVgL0ku5om6VzUkmnqYJdp8maPJm8yBOhQfL/KZYNL+07ynJ4japkWv3NSUlLkf3ft2hXnzp3D3bt3ER4ersgPE/Id6a9WIWq/sA2BOnmNrgCdxisFxL6QEFFbk3L1rlUO9uzXdVNiBiREbu/gOtNUYxOorPFOn6aOYcE4vPBpj47RkFTTVFhWiZBAdTVajLRbaqezwqbmJE0t2isF2hqN5/VuRG2VR++co0eP4sUXX8SQIUNQUFCAiIgIbN++HTk5Od4aH6mA/Zez1KtJmpqLMgYrNojuHG6ATqvBgyqbvJZYmd0t2d7KrnhTY+0dJPYZBiV+MRqDA+RpLrVNz3UItc80KTNoaqpXk9wNPECn2PckkdK1+FN1165dSElJgcFgwKlTp1BRUfulU1paij/96U9eGyApn1arqV9Kpa7WRioCjzYps54JqO2907l97ZdfXt16aEpdd05iCHRddC9xCJo8LAT3lUSz4+Leapmei1RF0FRXCO4i0yS10jCoJEglUqIWB01vvPEG/vrXv2LTpk0ICKgviHzyySfx9ddfe2VwpB5y0FRVG3Qovd2ARJouulpUuzSGkns0AXaF4I3UNEl3TQXqtR4teeJLCQ2CJrVMzzWsaVIiKevranrufhXvnCPyVIuDpvPnz2PEiBFO28PCwnDv3j1PxkQqJDe4lDJNdY0toxRaBC6Rsh55dYvIWhW+iOzDWg5IUzDBjSzmqwRJkY4Bh6e1V/5itrt7TqmZJun/0lWmqZyL9RJ5rMWfrJ06dcKlS5ectufk5LDlQBsU0iAD8h+VZpqUvO4cUD9t2GimyUvtBnxJajsA1H7JKzUj1lCATouBSRHoZArGY1HG1h6OS8FN1LwxaCLyXIu/GWbMmIE5c+bgb3/7GzQaDW7cuIGvvvoKCxYswJIlS7w5RlIB6cv8f3d/i//XMxrnbtYu8qrUHk2ShpkmKWgyKrAbOGAfnLrONEndzY3ByushJLGvaVJqRq8xO9MGo9om5CaSSlM/Pefc3LK+saUyr20iNWjxu+cPf/gDiouL8fTTT+PBgwcYMWIEgoKCsGDBAqSnp3tzjKQCz/40Bt9eL8a1u/fxt39dkbcrPWiSMk35ReWKb2wJNL7On6T0gbKDPqBBpkllWQ+tVoNABWfGpEJw1y0HlJ+FJFI6jz5Z33zzTbz66qs4d+4cbDYbfvKTn8hLq1DbMuXJREzsF4uci4U4+MN/cPCHOwgJ1MHSOay1h9akuIgQaDRAaUU17lorFX/3XH3LAdfTc9Liw2EKzjSFBukRGRqEwrIKhAQo8/9ZraRMU4WrQnBOzxF5zONPrJCQEPTv398bYyGVCw3S438s0fgfS7TcLFLpggN06BQWjBvFD5BXVC5nmpR695zc3LKRZVTUkGkCaovBC8sqEKKy6Tmla+ruufqaJmVfG0RK1uyJea1WC51O1+RDr+ebsq1TQ8AkkW6Bv1pkRVmFshsuSl94rr4UgfqapjCDcjNNQP3/ObMe3sVCcCLfavY3w+7duxt97csvv8S6desghPBoUET+lBgZgq9+LEJeUbk8PReq0ExNfabJ9fScejJNtUGTgdNzXtV0pol9mog81exPrPHjxztt++GHH7B48WJ89tlneOGFF7B8+XKvDI7IH+wzTfXTc8r8YpG+8CqqbaixCaelXtRQ0wQAoy3R+MeZm5jQJ6a1h/JIcadPEwvBiVrOo/tmb9y4gbS0NDzxxBOorq7G6dOnsXXrVsTHx3trfEQ+l1h3B519pkmpheD243LVq0kt03NdOoTi8znDMfYJBk3eFCwHTc4tB+6rbK0/IiVqUdBUXFyMRYsWoVu3bvjuu+/wz3/+E5999hksFou3x0fkc/ERzpkmpQZNQXotpHIxV3Ur0vRcmMKn58g3gt2YnmOmiajlmv3JunLlSqxYsQLR0dHYsWOHy+k6IjWRejXdK6+Cti4iUerdcxqNBiEBOlgra1z2apIzTQqfniPfMDRRCG5lITiRx5r9zfDKK6/AYDCgW7du2Lp1K7Zu3epyv08++cTjwRH5Q7sgPToYg3CntAJ3rZUAlBs0AUBIkB7WyhqX03NqKQQn32iqpol9mog81+xP1smTJ6vqdnIidySaQ3CntEJ+ruigqYlsglwIrvCaJvIN9+6eU+61TaR0zX73bNmyxQfDIGpdCeZ2OJn3X/m5UmuagMaXUhFCoESuaWLQ1BZJy6gw00TkG8pcdZLIz6Q76CRKXki2saVU7lfVoMZW2yON03NtU1OF4KxpIvIcgyYiAPHm+kVkA3QaBOmV+8UiZcGkrJKk5H7tc51Wwy/GNkoqBH9QZYPN5thk+L7cp4kBNVFLMWgigmOmScn1TABgbhcIAPhvXdG6pLTuzjljsJ51h22UVNME1DZAlVTX2FBZU/u8HQNqohZj0EQEICGiPtOk5HomoD5oKmoQNLHdAAXbBU32U3Tldv9mnyailmPQRATAFBKA8JDaYEPpmaaI0NqgqbCswmF7CdsNtHk6rQaBOudi8PK6hajtXyei5uO7h6iOtAad0jNNke2CAEDuKSVRy7pz5FvSHXQOmSap3UCAjlO3RB5g0ERUR6prUnrQZK7LNBWVNZyeq2s3YFD2+Mm3XHUFlxbrDVHwXaFEaqCooCkjIwMDBgyA0WhEVFQUJkyYgPPnzze6/4wZM6DRaLB69eomj5ucnAyNRuP0GDNmjLzPH//4R6fXo6OjvXVqpAJSpsmo+KCpNtNU1GB6rr4QnJmmtsxVV3Ap68TGlkSeUVTQdPjwYcycORPHjh1DVlYWqqurMWrUKFitVqd99+zZg+PHjyMm5uGrpH/yySe4efOm/Dh79ix0Oh1+8YtfOOzXq1cvh/2+/fZbr50bKd/YJzrB0jkME/p0bu2hNMm+EFyI+tvKpZYDnJ5r21z1apIWora/u46Imk9Rf3bs27fP4XlmZiaioqKQm5uLESNGyNsLCgqQnp6O/fv3O2SLGhMREeHwfOfOnQgJCXEKmvR6PbNLbdhjHY34+6zhrT2Mh5Km5yqqbbBW1siF6/YtB6jtcjU9x27gRN6hqExTQ8XFxQAcgx6bzYbU1FQsXLgQvXr1atFxN2/ejEmTJqFdu3YO2y9evIiYmBgkJSVh0qRJ+PHHHxs9RkVFBUpKShweRP4QEqiXMwb2U3T1NU3MNLVlwXWNWR/Y9Wmqr2liQE3kCcUGTUIIzJs3D8OGDYPFYpG3r1ixAnq9HrNnz27RcU+cOIGzZ8/ipZdectg+aNAgbNu2Dfv378emTZtw69YtPPnkkygqKnJ5nIyMDJhMJvkRFxfXovEQtUSEi15NzDQRYNcVvNK5T1MIp+eIPKLYoCk9PR1nzpzBjh075G25ublYs2YNtmzZ0uLbZjdv3gyLxYKBAwc6bB89ejQmTpyI3r17Y+TIkfjHP/4BANi6davL4yxevBjFxcXy49q1ay0aD1FLRLq4g44tBwior1tyaDlQV9PE6TkizygyaJo1axb27t2L7OxsxMbGytuPHj2K27dvIz4+Hnq9Hnq9HlevXsX8+fORmJj40OOWl5dj586dTlkmV9q1a4fevXvj4sWLLl8PCgpCWFiYw4PIX1zdQceWAwS4LgQvl9edY9BE5AlFfboKITBr1izs3r0bhw4dQlJSksPrqampGDlypMO2lJQUpKamYtq0aQ89/kcffYSKigq8+OKLD923oqIC33//PYYPV35hMLU9rpZSKeUyKgTAEFjX3LLSueWA0nuQESmdot5BM2fOxAcffIBPP/0URqMRt27dAgCYTCYYDAaYzWaYzWaHnwkICEB0dDR69Oghb5s8eTI6d+6MjIwMh303b96MCRMmOB0DABYsWIBx48YhPj4et2/fxhtvvIGSkhJMmTLFB2dK5JkIl9NzbDlA9oXgzh3B2XKAyDOKCprWr18PoLYZpb3MzExMnTrV7ePk5+dDq3Wcebxw4QJycnJw4MABlz9z/fp1PP/88ygsLESHDh0wePBgHDt2DAkJCc06ByJ/kJZSKbLWTs9V1djkbAILwds2l4XgFWw5QOQNivp0tW/U5668vDynbYcOHXLa1r179yaPv3Pnzmb/bqLW0nApldK6eiaAQVNb11RNE4MmIs8oshCciJrWsOWAVM/ULlAHPVexb9Pq756z69PEZVSIvIKfrkQqFNng7jmpnonrzpHrjuBsOUDkDQyaiFRImp67W7f+XIl05xzbDbR5UkCdf7d+zU5rBVsOEHkDgyYiFZKm56ptAiX3q+26gTPT1Nb1jW8PALjwnzLcK6+dvr3P6Tkir2DQRKRCQXodjHU9dwqtFXbtBvil2NaZQ4PQpUPtupq5V/8LoL7lAKfniDzDoIlIpezvoCthponsDEioXeT8ZJ4UNPHuOSJvYNBEpFLSUip3rRVcQoUc9E8MBwCczLsLIYRd0MTrg8gTDJqIVEqqayosq+RiveRgYFJtpunM9XsorahGja22Rx0LwYk8w6CJSKUi7abnpOaWnJ4jAIiPCEEHYxCqagSOXS6St3N6jsgzDJqIVMpst5QKWw6QPY1GgwF1U3RHLt4BAATqtAhg41Mij/AdRKRS9l3B2XKAGupfVwx++EJt0MSpOSLPMWgiUqn6u+fYcoCcSXVN1+7eB8CpOSJvYNBEpFL1S6lUorSCmSZy9Hi0Ee3sAiUGTUSeY9BEpFL2S6lImSYTa5qojl6nRd+EcPk52w0QeY5BE5FKSTVNd8vra5rYcoDsSXVNAGuaiLyBf3oQqVRESG3QJAQg6rZxeo7sDUiyzzQxaCLyFDNNRCql12kRHlIfJAXoNAgO4Fua6v0srj30Wg0AoB2n54g8xk9YIhWTpuiA2iyTRqNpxdGQ0oQE6tGrswkAp+eIvIFBE5GKSevPAWw3QK4Nrms9YJ+VJKKW4acskYpJS6kAQJiBX4rk7OURXWAI1OH/949r7aEQqR6DJiIVk5ZSAQAjM03kgjk0CL8f2b21h0H0SOD0HJGK2dc0sd0AEZFvMWgiUjH76TlmmoiIfItBE5GKORaCM9NERORLDJqIVKxhywEiIvIdBk1EKuZ49xyn54iIfIlBE5GK2d89x+k5IiLfYtBEpGImQwB0dctksBCciMi3GDQRqZhWq0F43cK9rGkiIvItBk1EKjexX2c8Hm1E71hTaw+FiOiRphFCiNYexKOgpKQEJpMJxcXFCAsLa+3hEBERkRua8/3NTBMRERGRGxg0EREREbmBQRMRERGRGxg0EREREblBUUFTRkYGBgwYAKPRiKioKEyYMAHnz59vdP8ZM2ZAo9Fg9erVTR53y5Yt0Gg0To8HDx447Pfuu+8iKSkJwcHB6NevH44ePeqN0yIiIqJHgKKCpsOHD2PmzJk4duwYsrKyUF1djVGjRsFqtTrtu2fPHhw/fhwxMTFuHTssLAw3b950eAQHB8uvf/jhh/j973+PV199FadOncLw4cMxevRo5Ofne+38iIiISL0U1UJ43759Ds8zMzMRFRWF3NxcjBgxQt5eUFCA9PR07N+/H2PGjHHr2BqNBtHR0Y2+/s4772D69Ol46aWXAACrV6/G/v37sX79emRkZLTgbIiIiOhRoqhMU0PFxcUAgIiICHmbzWZDamoqFi5ciF69erl9rLKyMiQkJCA2NhZjx47FqVOn5NcqKyuRm5uLUaNGOfzMqFGj8OWXX3p4FkRERPQoUGzQJITAvHnzMGzYMFgsFnn7ihUroNfrMXv2bLeP9fjjj2PLli3Yu3cvduzYgeDgYAwdOhQXL14EABQWFqKmpgYdO3Z0+LmOHTvi1q1bLo9ZUVGBkpIShwcRERE9uhQ1PWcvPT0dZ86cQU5OjrwtNzcXa9aswddffw2NRuP2sQYPHozBgwfLz4cOHYq+ffti3bp1WLt2rby94TGFEI3+noyMDLz++utuj4GIiIjUTZGZplmzZmHv3r3Izs5GbGysvP3o0aO4ffs24uPjodfrodfrcfXqVcyfPx+JiYluH1+r1WLAgAFypikyMhI6nc4pq3T79m2n7JNk8eLFKC4ulh/Xrl1r/okSERGRaigq0ySEwKxZs7B7924cOnQISUlJDq+npqZi5MiRDttSUlKQmpqKadOmNev3nD59Gr179wYABAYGol+/fsjKysJzzz0n75eVlYXx48e7PEZQUBCCgoLc/p1ERESkbooKmmbOnIkPPvgAn376KYxGo5z5MZlMMBgMMJvNMJvNDj8TEBCA6Oho9OjRQ942efJkdO7cWb7r7fXXX8fgwYPx2GOPoaSkBGvXrsXp06fxl7/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+ "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the first 120 time steps\n", + "ds_trop_avg.tas.isel(time=slice(0, 120)).plot()\n", + "plt.title('Tropical Average Surface Temperature')\n", + "plt.xlabel('Year')\n", + "plt.ylabel('Near Surface Air Temperature [$^{\\\\circ}$C]')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Nino 3.4 Region\n", + "\n", + "> Niño 3.4 (5N-5S, 170W-120W): The Niño 3.4 anomalies may be thought of as representing the average equatorial SSTs across the Pacific from about the dateline to the South American coast. The Niño 3.4 index typically uses a 5-month running mean, and El Niño or La Niña events are defined when the Niño 3.4 SSTs exceed +/- 0.4C for a period of six months or more.\"\n", + ">\n", + "> — https://climatedataguide.ucar.edu/climate-data/nino-sst-indices-nino-12-3-34-4-oni-and-tni\n" + ] + }, { "cell_type": "code", "execution_count": 7, "metadata": {}, + "outputs": [], + "source": [ + "ds_nino_avg = ds.spatial.average(\"tas\", lat_bounds=(-5, 5), lon_bounds=(190, 240))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "
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    <xarray.DataArray 'tas' (time: 1980)>\n",
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-       "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 1850-01-16T12:00:00 ... 2014-12-16T12:00:00\n",
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TvvjoDLtHB7hy17DpCToHcOrh0IwOxlgrlskVyz1f19nV7jX/gTEcvimUKqTzpZYeRyoeMbvEOnSo6tp9Y+RLFWaMjIYjlYrinicXeMnlU4hILVRlNiF9i1MPh0Z3jy/7zHM8dHKJ//utY5ta18xKrmvNf2AMh2+0THLLHIeZO76O+Yw1ZvcZF4wCcGzO5DmcOLGYJZ0v8fTdIwAMmxxH3+PUw6HRm0u/TYB/841jvP1fD1EqtzfLo1xRzKULxuPoJ/RJMNoqx5GImF1iHXrM7oWTScBUVjXj0OkVAK7YOQxQl+MILlSllOI3/ulBvnGksUfXAM17OKB9ocOjcxnKFcX0cnue+XwmT7miutbDAcZw+GYxoz2O1snxQqlCvtT72GY/osfs7hodIBoWU1nVhEPTK4RDwmXbhwD6oqpqNV/ik/ee5HMPTwe2hn6lVQ8H1AyHnwS5Uoqjs2nAagRth9rkPxOq6hsWqx5Hq3Jc6wufyRvDAdYOaGooTjgk7BkfNB5HEw6dXuHiqWRVkWAgGiYckkA9jhl719vuRWwrM71sVVTtGm1mOKzNpZ/u8bl0obpRON7me97t5j8whsM32u1s3QBoS6ub2DRgT0u036/9E0njcTTh0PQKB+wwFfSHCoEOl7R7EdvKrKxZn8vogPO1QE8B9ONxPDlX21SdWGzT47Cb/0xyvI/Q0hmtGwB1NUywZZTLa0Xe9PH7ue3DwcqZz6fzVSXhfROWx6GUKcmtZzFTYHo5x4Fdw+tuH0oEW6F3xjYcpxbX2k7WblUydh5zMO48mnUwFiYWDvlKjuswVTwS4vhCe4KgMys5RJzHPnSKrmlVbVWWskVikRADDgKHmqq0eoBf+AdPLPHGj9/PycU1omFBKeVYMtht1gplMoVydVri/okk2UKZ2XSebV0aa3kucnjaSowf2Dmy7vahRJSVPvA4Snayds+4cwXR+Yju1dIbxUZEhJHBqK/k+NG5DLFIiGv2jrYdHpxZyTORjBMNd88vMB6HTxYzBcYGoy0vwkHPHf/3R87wY3/5TZSCH3r6ToplRb4UzG6xOi0xWfM4wKjkNnJoWldUDa27fSgeCTTHcWaltus14ar1ZG0NsWQTwwFWZMKvx7F/YpD9E8lNJMdzXU2MgzEcvlnMFltWVEHwc8fvuP8kU6k4n/uVF3D9ReOBrqU6u6TO4wA4NmcS5PUcOr3CjuHEhuFg/RCqGrfzU8bYrydtF7+kYs0Nx+hArNr75YWjcxkumkyxZ3yQ+UyhGg7zw8xqd5v/wBgO3yy56FSBtUuE4Dp+F7MF9k0kGR2MVXsBgvJ+Gqcl7h4bIBwScxFq4ND0yob8BliGI0j5munlHFfvGSUaFuNxNOCW4wDsUJU3j6NYrnB8PstFU8lqSLCdBPnZlXxXK6rAGA7fWJLqzRPjUGvcCirHsZApVHeJtYmEwYQ7tNyIrqqKhkPsHh3gmCnJrZIrljlyNr2uokozlIgGHKrKsWs0wZ6xQY4vmM+snky+RCwSaplL8BOqOrGQpVRRXDiZZK82HD4T5KVyhbl0vqvNf2AMh28sgcPWHkciGiIcksAUchezxapxSwWcqJ/L2DmOuhCMVVlldq+aI2fTlCqqqcexmisFUoWWK5ZZyhbZOTLAnvFB43E0kCmUmibGNdb4WG+hKl2Ke9FUij12U6Hf93w+U6CiuluKC8Zw+EIpxdJa61kcEGz9fbmiWMoWGLeNW9BCefPpAslYmIFYzZ3fN2EuQvVoqREnjyOViFCqKHLF3hc36FLcHcMJ9o4PcrxPjL1Sijd+/H7ueuxsoOvI5MskW4SpwGoUzpcqnhRyj85ahuPiqSTjyRjJWNh3grw2a9x4HH3DSq5EuaJccxxgK+QGcLFeWStSUbWu1aF4sDMd6ns4NFOpBMtrRQoBVXr1G4emV0jGwtXwRD1B6lXpUtwdIwn2TQyykiv51l3qBstrRT730DR/841jga4jnS+RbJEYh1pzoBev4+hcmvFkjNHBGCKWyoJfwzGrJ/+Zqqr+QX9p3EJVYCc1A7hY6xO0muOohqoCynFkCtWKKs3kUMy+Lx/EkvqOQ6dXuGLnsONc8eEAPUZdirtjJFFN1vaDp3jG3lV/64m5QPM/mXypZSku1BqFveQ5npjNVIVAActw+EyO6w2ilnTvFl0zHCKyR0TuEpHDIvKoiLzZvv3tInJKRB6w/93qcOzT6u5/QERWROQtXo/vFlo6wC1UBZbHEUQ1zGKDJEotOR5QjiNdYCK5fvej8x31I2XPZx6bWeXyhv4NTZBCh9MNoSroD8Oh11UsK772eHCqvV4Mx4gPw/HkXIaL6g3H2CAnFtZ85bdWXZoSO0U3PY4S8Fal1BXA9cAbReSAfd/7lFJX2/8+33igUuoxfT9wLZAF/rnuIS2P7xaLPjyOoKYALmSsE1TnOGKREPFIKNBy3MlGj8P+fTZtPI5yRbG8VmQq5RyTDjJUNbOcYzgRIRmPVA1HPxQ1aOHFWDjElw/NBLaOTKFMyi3HMaBncrTeJK3misyu5rloKlW9be/4AGvFMnM+Nlg6yqE3HN2ia4ZDKTWtlLrf/nkVOAzsbuOpXgo8oZR6qpPra4clDzpVmqCmAFZl3+tKhocS0UBCHZWKYsEpVGV7HHOrxnBkqt3HzhegID3G6eUcO0Ysg5aMR5hMxfpCJXd62dJietlVO/iPx84GpqGV8ZDj0N/DJZcpgDoxXh+q2jvh38vL5EtEQkI80t0sRE9yHCKyH7gG0Gp7bxKRh0TkIyIy5nL4a4F/aLjNz/EdYzGjQ1XechxBfNlrIoy1NQa1luW1IqWKah6qyphQldsOcSjAueNnVnLsGKlJhvdLSe7MSo7JVJxbrtrBUrbIvU8tBrKOtIdQldfkuC7FvXhqfagKrGFRftfUbV26rhsOEUkBnwbeopRaAT4AXAxcDUwD72lxbAx4OfCpups9HS8ibxCRe0Xk3tnZ2c2/ECyPQwSGPSSerBxH77/si5kCsUiIwbryV6s0uPdr0cnvRo9jMBYmEQ0Zj4NaR3+zC1AtVBWMx7GzrpFs73h/9N9ML+fYMZzghZdNBRauUkrZOY7WoaqBWJh4xF0h9+hsmpDUvAygOpLWTxn0as69t6QTdNVwiEgUy2h8TCl1B4BSakYpVVZKVYAPAde1eIpbgPuVUtUzw+vxSqkPKqUOKqUOTk1NdeT1LGaLjAxECTtUvzQylIiSK1Yo9tiNXrR7OOp3HEHJVujYbKO8s4gwmYpXBRDPZ9wUVoMKVRXtDmQdqgLYNz7I9PJa4GXUMytWCC0Vj/Dciye48/BMzxskc8UKFdVa4FAznoyx4OJdH5vPsmt0gHikZogGYmGmhuK+KqvS+WLX8xvQ3aoqAT4MHFZKvbfu9p11D3sV8EiLp/kJGsJUPo/vKIsedKo0tSmAvf3CL2SKG4ZMBZVvqcqNpDa+Z5OpuAlV4R6qCoeEZCzc88/v7GoepVhnOPaMD1JRcHqpvTkRnUJ7HAA3HtjOU/NZnrDnWPQKnZvysrv3YjhmV531pfb6DA+m8+e+x/F84DbghobS2XeJyMMi8hDwEuBXAURkl4hUK6REZBC4Cbij4Xkdj+8FltyIt/rooBRyF7MFxhu0tFIB5TjmHeRGNJOpWLVZ6XzGLVQFwehVnVmu9XBoqpVVAeY51gpllteK1XXdeMU2AO481Nsucr0hdEuOg2U43DZJcw7VhwB7xgZ86VWlc6XqtaebdO0vKKW+DjjFdBzLZ5VSp4Fb637PAhMOj7utU2v0y2K24Fl1ctiOTa/0+Au/mCls0DwaDkgoby5t5YScvLTJVJwHTiz3fE3NuO+pRTL5Ei+6rDNhTa+4haogmFCj7pXYWR+qsiXxg0yQ6+Y/7XHsHBlg9+gAj8+s9nQdNYPfOscBlsCnm6jnXDrPdReOb7h9z/ggn33wNKVyhYiHwUzpfKknw7ZM57gP/HgcwwPWhUDPJe4VCw7hNN2M2Os48Hw6z/hgzDEnNJmKs5DJU6kEP0J2JVfkDX93L3/wuUM9/9vVUFW8+XkVRFWc1qnaOVyrqto2FCcWCXE8QGXjMw4GbXIo3vOeoIw9i8NbjiPOQotejGK5wmK26OiZjw7GqKja33MjnS+d2zmOrYifHEcQHoduJmvMcQwlIlQUrHkQWusk8+mNPRyaiZT1hfCqHNpN/vyuI8xnCoFIxHjZuQYTqsqRiIaqGyCAUEiYSsUD7fjXMijb6wzHVCre87BnxsP0P81EKkamUG4qdKjzH5MO+lK12T7ePv90zr23pBMYw+GRXLFMtlD21PwHNa2YZZfGn06yvFZEKRgf3JjjgN7nWxayhaZd9v3Sy3F8PsvffP0YIsHoQWXyJRLRUMswRBA5qumVHDtHBjb0AwwlIoHOQD+zbBmIHXUh46mh3lfoZXxIe2jduGbnul77lMMmq6o15+HcLFeU1c1uPI7+QddhN+7mm1H1OHpoOBaqXeMbQ1XQe8ORyZeqO6ZG+qV7/I++cJhwSPjRZ11AJoBw3mq+RKpFmAosocNeX6zP1FUurV9LwIOlltcYsmVQNFMpK/ncyw7yjIeiBo02HM3CVc3K1qH23fXiDfup9NosxnB4ZNGhI7sV2ur38gvfqIyrGQ5I76iVCFw/6FV9++g8X3jkDL/04ou5aCpJRdHzuRfpXMlV72goEe15M+mZOrmR9WsJeAb6Sm5dfgMsj0OpmmpCL9DzxpMxb8lxaK4GrTdPjeMHoC5a4MHj6JVOFRjD4ZmawKG3UFU4JJZbH4TH0Zgc9+HudpJMofmgm35QyP3zu46wcyTB6190UdUz6vl7lHcvnxyKR3raTFqpqGqT3Ya1JCKe4+3d4MxybkNlo5490cs8hx+PQxuEZr0cOlTlVI475MPjqFXodVdSHYzh8Ew1VOXR4wBrp9/L5Phik1CV3oH0OvnbSgRuZCBKJCSBdo8fnc1w/UUTJKLh6gWg14Zj1YNQntccVbFc4dDplU2H25ZsjbEphx2wlajvP48Demw4Cu7zxjXVUFULwxGPhBxDTH42fVXDYTyO/sFvqAosTateluPqeSHjDuW40NscR6WiyBbKTXdkoZAwnowFZjjK9q56Z536K/S+0z+dcy+f9Cqt/s/3n+LW93+NV/75N/jq92fbNiCtEr9BzkAvlSvMruY35F6q+bIeeq8ZHx3aw4kI0bC0SI4XmEzFHYUJ/eQ49GPcQp+dwBgOj2iPw2uoCnRSs4ceR7ZAIhpaN98b6sbH9vCi6CVRNxlgaedcOk+potg5avUppIIKVRXcL0BehzkdX8gSEutCdPtH7uHHP/jttka96rLtxvMIrM1Q2d4U9JrZdJ6KYp1iL9QMR29DVe7zxjUiwthgrEVyPO9Yigu1znRfHocJVfUPi5kCA9Ewiah3a255HL3NcTR6G1A/PrZ3F0V9YRls8eWaDKCMUnPK1lvaZXscQWmLpXPu0txeDcecPd/9rl97Mb//iiv57vFFfv2fHvLtHVQ/OwfD0RcTCUfWX2ST8QjJWLinhsPLvPF6WsmOzKULjqW4YHnmyVjYm+HImVBV37G05r1rXDOc8Gc4/uW7pzY1KGcxU3AsFw6HhMFYuKdVVV6kNCaTsbbCC50Ik0wvWRehXbbHEWSOw+2L7rUqbi6dZypldXff9tz9/L8vu5w7D83wd9/yNwMta3uLTh5HkBMJz1RH2Q5suK/Xm5Bswd3g1zORijWvqkrnHUtxNalExNOmr1djY8EYDs9YciPe8xtgyY54Lcd9fGaVt/zjA/z93e0POnSSG9H0ega6FxE4/WX3YwiWs0We8btf4qvf39yMlell7XEEF6oqlCoUSpWmvS4arzmq2dX1IY+ffcGF3HD5Nt7xucM8etq7Ltha1eNwznFAb8vMNVXD4VDt1evu8XS+ef7OifFk3DE5rqdktjQcHr+7tRyHMRx9w/JagVEPA5zqGRmIks6XPDUm/eN3TgAwu9L+yb+U3Sg3oul1/b0X1deJZIx8qeLrYv3kfIbVXInHzqxsan2nl3IMxsJVSQ0dr+5lqMprSafXKYBWkrX2+YsI7371MxlLRvnlj3+3ahDc0KGqAYew7HDAEwljkZCjesNUj/WqrOS497D1RNI5x7GYLVCuKMdSXE3K4+jnTKHEYCzsaV7QZjGGwyN+BA41OsTgdmEslCrc8d1TwOYa4qwch/MavZ58nSJbFYFrkeNooxpGy30vZDZ34Tq9tMbOkUS1kqWWhOxd0tdLOA+8TQFUSjGbzldLUzXjyRi/+/IrOTqX4f7j3kas6uS4c44juImEupvdqfqo14PBMvmSo0fWjPFkjNV8iXxp/fk1V51Z09zjGPI4wXPVQ76sUxjD4ZGltWJVf8oresSsW0nulw/PsJApMDoYbdvdLpUrjgKH1bUk2hsf++Rcpi0pBy8icDqsMu/jC68TpIub1LiaXl6r5jegloTspcehDYdbOW4sEiIeCbXcgKzkShRKFcfeCy2H7tVL0J6Jc44juOR4s252sDyOpWxxw4XZjc89NM0L3/Ufvo/zOzBJi30uNmx4as1/HQhVtZD46TTGcHhAKUt1dsS3x6Hjwa2/sP/4nRPsHEnwsit3tG04luwkfKPciKadKYBPzWe48b1f5V8fOu17PV5201qKwc9OURuOzcpLnF7OVfMbmmTcWxKyU3gJ52mGEtGWeYVWFyD9GXjNS7SuqgowOb7irJ8FtSZAv+Xdn33wFCcW1nwVpSile5T8hapgo+xIVeBwqFWoytt5mc4Ve1JRBcZweCJXtJKYowN+k+PuQoenl9b4r8dnefW1F7B9OMFCttCWtMRiE7kRTTvJ8S8fPku5oji16H9UqA5VOV18NNWOXx9f9k54HPlSmdnVPDtH11+EUvEI6UIPDYePZKaVo2p+Hmm9o8ZQlT62/u+5sWa/B4nIxs8uGQsTkt4PKFNKOXaNa6aqYU/vm5ByRfHtowsAPDXv3XDkSxXKFeU7OQ4bu8dbCRxqUvGIN62qHo2NBWM4PLG05k+nSqNzHK2k1T9170mUglcf3FMTa2vjothMp0rTjlTEVw7P2M/t/yKR9lBVVZWb9vFl1zmOzczxmLGluZ08jiBCVd4NR/O1zXrwOLxuHLKFMgPRMCGHJKuItC07kiuW+a7HPEsjS9kihVKFbU08jsk2ZEcOT69Uv5t+53qDv+qlZrIjc+k80bC0DIMPJSKelJtXc8Zw9BXVrnHfOY7WoapKRfGp+07wgksm2TM+uCnNncWq7Huz5LjlcXiduLeSK3LPkwv2c/u/SFvJQ+eLjyYaDjE6GG0rVKVfbzuc1qW4o+sNRyoow+EhvODV43CqzomEQwxEvffxZIvllp5iuxV6f/21o/zYX36rLW9F/71mF9h2vjvffGIOgGhYfBkOfY74SY7XwrINhmM1z0TSWW5Ek4p7G8SWKfRm3jgYw+EJbTh85zhckuOnl9c4ubjGy67aAWxOrK2ZpLpGJ80yHkMxX/v+HKWKIh4JteUBZTw2SE2m4sytent+rdoqAkt2GWM76B6OxlBVso080GbwE6qaSLYuN51LFwiHpHmo0sfc8rVC2TExrml3IuHXj8xRrqi2zm+tyNvsvdIG088m5BtH5rlkW4qLp1Ic9xGq0mNc/ZTjjgxECYeEBYccx2SL/AZ4V35I57ZAclxE9ojIXSJyWEQeFZE327e/XUROicgD9r9bmxx/TEQeth9zb93t4yJyp4g8bv8/1q3XoFnWoSqfOY5ULNIyHqx3z3vt4fJTm9DccQ9V+auG+cr3ZhgdjHLdheNtehxlT7MKJlt01DYyl8lTLCsunLBmZ7Qr53Jad42PNHocYc+GtRN4CedpdowkmFlp3iw5l84zkYw19fD8TO7L2v0AzWhnCmCuWOb+40tAe1L6brMm4pEww4mI5+9OoVThO8cWeN7FE+wdH/TncfgYG6sJhYSxwahjjqNVfgPqGkBbGH6llCWDcq4bDqAEvFUpdQVwPfBGETlg3/c+pdTV9r/Pt3iOl9iPOVh329uAryilLgW+Yv/eVdoROATrZBlqITtyWusl2Ttf7XGcXc35XuNipsBgrLmWlt8RlP/52Cwvedo2JlPOHa9utBriVM9EKu65j0N3Dl+xaxhov7Lq9NIao4PRDbtqK8fR2z6OpEs4T7N9OEGhVKmei43MrraWrRjyUTGmcxzNGG4jVPXAiSUKJavow09OS+Mlr+CnCfChk0tkC2Wed/EE+yYsw+E1jOunGq6e8WRsg9G0DL43w9Hq88uXKhTL6twPVSmlppVS99s/rwKHgd0deOpXAB+1f/4o8MoOPGdLdALNbx8HtJYd0TvfnfbONxENM+Rj11RPK7kR8Ne49cCJJRYyBW64fBtjg7G2Kpi87n6mfDRu6ffrwE7LcLSj/AqWp9fobYC/cE4nSOe8x6R1GeqZFedNRSuFVfD32nLFzoeqvvXEfPXnuTbPJ2idD5oa8h72/OYT84jA9RdZHke+VPFsdPzMG69nPBlbtwlTSjGfLriHqjwUN1R7graAx1FFRPYD1wB32ze9SUQeEpGPtAg1KeBLInKfiLyh7vbtSqlpsIwTsK1b69YsrRWJhqWl+96MVkKHeue7bn5ym9IJbp3tNb0j9y/8f3xvhnBIeNFlU4wno2QKZXIuiblGvMiFg5U0XM1t7Kh1QldUHdAeR5vd46eX1qpeXj2pWKSqH9UL0j6E8rQibHPDUXBs/tMMxb1f7LOFcsvEbzsex7ePznOFbfDb8Tj032t1YZxMef/ufOPIHFfuGmZ0MMZeu0HSa0luLTnu73ow0eC9r+RKFMrOTZv1eBnk1UtlXOiB4RCRFPBp4C1KqRXgA8DFwNXANPCeJoc+Xyn1LOAWrDDXi3z+3TeIyL0icu/s7OYE8ZayRUYGYi0rH5oxnIg2Lce1ZC/W73zbFWtbdlHvHfIRqvrK4bMc3DfGyEC0Wn/uN8+RzbeuzNHoTvdmIZh6pldyxMIhLplKWWtqs5djejm34X2H3g9z8pPM1ONSZ5Y3Gg6llC1wuPkmMvCeHPcqTpkrlvnuiSVecMkEY4PR9nIcHj0OL9+dtUKZ7x5f4nkXTwK1HKPXPEctOe7vIj3RIK3upWscavN0vHgcvZjFAV02HCISxTIaH1NK3QGglJpRSpWVUhXgQ8B1TscqpU7b/58F/rnucTMistN+/p3A2SbHf1ApdVApdXBqampTr2N5reA7v6GxQlVNDMdyjt0NO99tw4n2qk5yxeoJ5oTX5PiZ5RzfO7PKDZdbjty4Xd7rN8/htRnJbaxm49p2jCSq8g3t5Dgy+RLLa8UNFVXQe4VcL/PGNduGbMPhIILpZefqtYkMbI+jRY5jKGGVh2Y8iibef3yRQqnCcy+eYCIV91wMUU86VyIkzsKLmqmhOOl8yVXM8b6nFimUrfUA7B4dICRwfD7jaS1+5o3XM56MsbxWrDb41kqovXkcrSSD2ukt2QzdrKoS4MPAYaXUe+tu31n3sFcBjzgcmxSRIf0zcHPd4z4L3G7/fDvwmc6vfj1L2aLvHg6NFapqluPonMexstZ6BKnXEZTH7C/PVbtHgFqVVqPGjhtek+O153c3AtNLluEYiIaJRUJteRy6FHf3qHOOA7yXLGvOruZ4xZ993fcsFT/DgGKREBPJmGOoqiZb0fwCNOyjj8e9qsqf7Mi3jy4QEji4f5yJNmew6I1IK69/0mP3+D3HFgiHhOv2jwPWe7tzZMCzx5H2MW+8Ht3Lob33ate4S46jqtzcwiD2UlIduutxPB+4DbihofT2XXaZ7UPAS4BfBRCRXSKiK6y2A18XkQeBe4DPKaX+3b7vncBNIvI4cJP9e1dpRxlXMzIQdfQ49M63sQltaihOplD2HS5ZzRWrX2gnkrEIIu7jY+erap3WyVz1CHzs7isVRabFvPF6xqtfJi+hqpqi7fhgrK0y4caChHraDVV958lFHjy5zHeOLfg6btVHchyscNWMg+GY9bBzTSUiKGU197mxViwz0MKg+S3t/vbRea7aPcJwImqPC24vx9Hq/Ib6qsTWz39meY3JVGzd+blvYpCnPIeqSp5KzRvRYV/9HfMaqopHrI1SyxyHj2bSTtC1v6KU+jrgtD1wLL+1Q1O32j8fBZ7Z5HHzwEs7tExPLK8Vq4k9vwwPRMkWyhTLlXU7lOogoYaQiT7559J5z65w2b5Qt/I4QiEhFWvdfaz/LtROZp2D8LO71x2uXr5ceraCm2GqVBQzy/nqBX8sGWsrOV5t/nPQPNINXX4Tv0/OpQE46VPTy2sBgWbHSKJaklyPN4VVO07uIktRLFtlnW59HODN48gVyzxwfImfef5+QE/Ca8fjKLq+V171qhYyhQ0lsHvHB/myLbHjRtbnECdNY1h2Lp0nJM17r+oZikdI55u/372c/gcePA4ReXVd2Oh/icgdIvKs7i+tf1huQ1JdM9xkd3aqYXSppp3ucbfmKI2XBGnjyaxDdH5yHH5iwKMeQ1UL2QKFcqV6wR9PRtvyOE4tWZ3nTvLcNY/DXwXZ0VkrvOdHDFIp5XoRb6SZx9FKbkTj9WLfShm39ly2IoIHA3u/nU+4/iIrnzCRtOTP/Qp5pj3kg7Z5/O7MpQtVj1qzd2KQuXTBs3x5Oxdo/Tfn6wzHeDLuafCS23fX6zWgU3gJVf22UmpVRF4A/CBW78QHurus/qFYtibUtZ8cd1bIna42/23McYA/w6FDYcMurrwXjaG5dIHxZKx6MkfCIUYG/F2k/STqYpEQQ/GIq2HSM8L1Bb/d/pLppTW2DcUd49OpNkNVT8xZhuPkkj+F1VLFX8PW9uE485nChnLh2XS+pdwI1JV0ury2VrM4NM02Q05859giInBwv1V1X5tL4bPYwoORHU/GEHH/7lgeR4PhsCurvOSpvMrpOK0PYCGdZ61Q5vD0aktjX4+bunU6XyQSEuKR3qhIefkrevv1Q8AHlFKfAfxpb5zD6FLatg1HE4Xc00trhAS2NyQ0a1Lj3g2H/gJrUcVmeJFWn0tv7EBubFxyQ+9avX65xpIx12a+xhDT2GCsraqqZqW40F5VlVKKJ2etUJUfj6OdKhjdBNioLDC3WmgpNwK1/gc3jzNrFwa07Bwf8J4cn1nNMZGMVb2UmqaUv89u1YPHEQmHGB+MuYaq5u2dfj37xr33cvidN64ZG7QM2zeemOeH3v81HjixxI9de4GnY9101DL5MqlE6+KBTuLFcJwSkb8CXgN8XkTiHo/bElQFDtsNVWmPo+FLdmopx/bhBJGGne94MkbIw66pHv0FdkseehkfO5/Ob3Djxwbb8zi8JhDHkjEWXJLjupqoPsexvFb0LXTYaqZDO8nx+UyBFXs3fGppzbtsRRtVMNtHdElug+FwMPaNeFUOaDU2tvZctuqzy2RLsDyL0TpPSI9I9VuS67XnZdKlKjFXLJMplDeGqvx4HG0mx7VXeOehGfKlCh9//XP4uRde5OnYIZdNXy8l1cGbAXgN8EXgZUqpJWAc+PVuLqqfqAocekhgOVGVVm/4kk0vrzlewMIhYcJnSe6qx/immzQ3OIuujftMRPutcx8bjLqGLk4v5YiGpRpiGB+MolTrWSdOrOaa56ui4RAxlxGtjej8xnMvnqBYVq4VPZrNeBxnljcqrLYqxYV6rbLW71ctVNV8XQPRMOGQePI4FjIFxusNR3UGiz+PI+OjL6jVJkfnFxpDVSODUUYGojy14N7Lkd2EmOCPXLOb112/l39/ywurDYhecJOM8VI80ElcDYdSKms37y2LyF4gCnyv6yvrE9qdxaEZaeJxWLIXziETv70cWnLazePwInQ37yC65jef4FcEbnzQPRR2ZnmN7cOJajhmzEfjYD1WR3vrfhd/hsMKU73oUusicMpjnmNThqPB43ATOKz/O24eh5fkuDXMyZvsyGK2sG5GzITHyqd6dNWgl3yQW1hVlwJPOLxflkque7hxM5P2/tcPH+APXvl01+9qIymX724vp/+Bt6qql9s9E08CX7X//0K3F9YvtKuMq9E5jvrkuFLKmnndzHD41Kvy43G0uiiuFSw3vrEhaTxp5RO8SkzUchzeQ1XuOY71woTjDc1UXlBK2YnN5uvyO8zpybkMsUiI6y60qoa8luS2oy00OhglFglxts5wKKUsL9GjUJ5Xw9EqxwHevFew+nPqZ8QMJyJEw+KrJFc3ZHr1OFoajkzzuTV7JwZdu8etc8jfvPFOkEq07vz3I5jZCbyEqn4fSxb9+0qpC4EbgW90dVV9xGaUccHauYVDss7j0JUxu5rNT/aouaPxajhS8VpPiRPVfoBGjyMZo1CqVC8qbvgNVY0nY65CimdWcutKaHUFkR+PI1esUFGtJ7cl4xHSPspxn5jNsH9ikD3jllHzbDja8DhEhO3D8XUeh1ehvHBISMbCrt7UWtGbgJ8lmtj6uZRSG3IcIsJE0l8ToJ9S07FkjKUWua/56oxvB8MxPsjJxbWWebN25o13gqF4awHO1X7zOICi3XQXEpGQUuouLIHC84KltSIi7mGgZogIw4nIuhzH6SaluJqpIUtq3M+Y11gkRDzS+ss+nmp9sa0ajkaPw+dF2s+AIqh5c82EDpVSdjVUneGoiiP637m29jjCrnmAeo7OpbloMsVgLMJEMtZVwwFWuKq+CVBvMNxyHOCtj6cWqvKSL2v9XKv5EqWKWpfjALsJ0EeOw4+A30QyhlLNzws9ga9ZqKpUUdUKvlZr8Xpudwq3UvFMvrXkUKfxYjiWbIXb/wI+JiJ/CrQ/8PkcYzlbYDgR9dSk04zhBtmR002a/zRTqTjFsvKc+F3Nlaq19a1w6xGpyo04eBzgPSyUyZeqCVQvuBmmBdtDq/c4asd4PxWzed3R3trj8NoAWCxXOD6f5aIpq5Rz99gAp5Z8Gg6fX/bGJkCvshVgq9p6To633oQ0ntNO6LzYWLLRcMR9zeRY9RHWcztX59MFYpGQY1WUziE5CUlqqudQjz2OVKK1Qq7fZtLN4sVwPAhksTSl/h14gvMpOe4iV+6FRml1Lx4HeO/lWFlrrVNVe97Wc5lrHsfGqirw7nH4jQG7eQ96xG69xzEQC5OIhtorE+5QjuPk4hqliuIiW+b9grEBTi56TI57UHt1YsdwgjMruWq+yY/hSHmYqe4lOQ7ePA6tPzaeXH9uTiZj/kJVPrwzt6qtuXSByaTziISaakPzCZy6d6jd0HW7tMpRlX1ow3UKL4bjJUqpilKqpJT6qFLq/cCzu72wfmEzyria4YHIuuT49PIa8UioqtPUiF/ZEUsAzluNOzRvvmpWqug3Ee1VGbfx+Zs19OmGt23D63NCYx6qserRzW2dqqrSFVUXTtoex+gApxbXPBUR6AmJfhu2tg8nyBUrVbkPP6Eqt+IIsAxHJCSuyq/DCe8eR2Mpu9MI1Vb4ynEMtj5XFzL5asi2kW3D7iKJtc980HUtnaTVPB0/xQOdounZISK/KCIPA5fb0/r0vyeBh3q2woBZWisy0mYPh8ZSyK3PceTYPTrQ9KLhVXNHYynjejcczZ53djXPUDyyYW6537BQxodcOLhLq5+1QwfbHQyHvxyHe7VX0pfhsCpwLrZDVReMWSNIvXRFp/PehzjV09gEeO9TiwwlIp42N168BLexsfXP5SbTro36xhxHnLViuWrI3dA5J08eR4MeVCPzDgKH1WOTcUJSO9+ceHIuQzgk7LU7zXuF3og55d96rVMFrdVxP45VdvtHwNvqbl9VSvnTjz6HWc4W2De+ud1F4/jYUy16OKA9j0MP+mlFMh5hMBZuGqqazxQc51YPJSKEQ+K5l8NvTbkOBTYzTDrm3Fg55FsKxUO1VzIeIVsoU6molhIeAEfnMownY9Ud9QVjurIq6+oBpHPtNZHVmgBzDETDfOHhaV7/wotc1wruvQDgPotDM2TLtGcKzeXO9a5/Y46jFk4aHHd/D/zkOPS51OxcnU8XqhMkGwmHhKmh+AZJl3qOzmbYMzZArEeaUJpWoapeT/+DFh6HUmpZKXVMKfUTSqmn6v6dN0YDNqeMq2lMJDbrGtek4hES0VDLE7ger6EqsLyOpjmO1fyGMBVYkuxjg1HP2lDZQplBHzmOaDjEUCLSNLwws5pjPBnb8GUdS8Y8zfHQeKmI0V6Al2FOR2fTXDRZ23nutg2HlwR5ptBe3X19E+BHvvEkIRF+2pYsdyMVj3oKVblVVIE3CZPFbIFwSDYUbtT0qvx12XvxYuORMEPxiKPHoZRiPrNRUqeebUOJlqGqJ2bT1ZxWL2kVqvJjWDvFeaM51Q6VinKd5e2F4USEXLFCvlSmUKpwdjXf0uOoDSryWlVVrGpiuTGZai4CN59p3oE8NhhjwWNcOu0zxwGtpSLOruSr4bt1xwxG2xJfbLWj9iOtfnQuU81vQG2qoJeS3Ha1hXQc/vGZVf7xOyd4+TN3NRVtbESHl1r1KawVyp4S9l6GOS1kiowNRjeEZCcaBhq5kc6Vqv1QXhhLOisdZAtlcsXKBoHDerYNxZuGqioVxbH5zLrNQq9oNcFTb0r7IsdhsOrQK2rzFRT6on52Jc9fffUJlHIeXVrPUCLqqTPXyxCnelqJwDnNKdCMJb2r0WbyJVI+69xbJbrPruY2JMbBSrourxUpeZztUOvjaBWqsi6abjvz1VyR2dX8ut3nUMLSO/KiktuuREQiGmZ0MMrff/s42ULZs0ietT53b8ryOLwYDneF3MVMwVHqvZaH8O5x+HmvxpPOw6L0+dXS4xiON/U4Ti+vkStWuHCq94ZjMBZGxLmP4ylb1l83ofYCYzhasFyVG9lcclzLjtz6/q/xnju/z4sum+KWp+9oecxQQ9NgM2qJMW/GzWou3PilKpUrLGY3Chxqxn3oVbUzIc3N42iUn9fHgHehw2y+TNhlZoFXafUn7S/rRQ0XEa8luV5F+5zYMZxgrVjmBZdMcmCX98mUXubOZz0mx73M5FjIFjbkN6DmcXiVVvciqV5Ps3OpVrrc/Ps8NZRgPpN33IzoYoiLJnsfqhIRq5za4bw8MptmOBFxVQ/oJMZwtGBJK+Nu0uPYYyfXr9gxzCd//rn83f9znbsgYSLi2qwFNTfVj8exmC1s+GJYWlTNv1RjLqqjGi96UE6MDkZZdEiOlyuK2XS+GqJpXBP4KBO2E7+tSmC9DnM6YYvh7W0onNg96q0JsN3kONSqy37uhRf6Os5LXmLNc3LcWbyznqVsYUNFFVg9OMlY2Feoyk8F2njSOaxarfJyCVUp5VyVpUtxLw7A44DmIqVHzqa5ZFuqZ7M4oIszx7cCmxU41Fy7b4x7fvOlTA3FPX+4wwNRjs65SzxXhzh5NRz2F2MhU1gX/plb1Ro+TTyOZJTFbNG12mitWKai/HfWWjkd5y97uaI2lOLqY6zHdK5MOOnR49BhlsbqqQvGBvn6kTmUUk0/60pFkS546/Z34jkXjVMsV/iBy6Z8HedFWt1rclyvvdX42IVMkWv3OX93JlJxf6Eqnx6HU1i1pozQKjlu93Ks5Decc0/OZUjFI556ZrpBM2n1I2cz3HC5v3Nhs3TN4xCRPSJyl4gcFpFHReTN9u1vF5FTIvKA/e9Wr8d6Pb5TLG1y+l8924YTvnYEXmWrvQ5x0kzZHkVjHHe+hYYPWDmIckW5rsmvpHr1+ZMxO3m5Pimt+xWckuNarttPR7tbtZdXj2Nudf1sds0FYwNkC+WmulsA6UIJpdrXP/ulF1/Cx19/ve8dpheF3LWC1z6O1jkOpZQlqd4kzOtHr8qvnMZ4MkauWNnQJzLvKcfhPGURrGKIi6aSPd3Z1+PUnLqcLTKXznPJtt6Gz7rpcZSAtyql7heRIeA+EbnTvu99Sql3+z1WKXXI4/EdQcfOvVYsdZIhu/ej1c4VvCvjavRuqbGyyi3+W9/dPdLCkNb0oPyFquq70+urhHQi3yk57tYlvHFt7hcgrx7HXGb9bHbN7rFaZZVTfB/8f2adwkteIuuxqioRDREJSdPnWslZ1VtO8uVg5Tk8y7PkS756FOq1z+q9p/l0noFouKVHVfU4HBLkR2czPNuenR4EqYZ+MIAjs6sAPTccXfM4lFLTSqn77Z9XgcPA7m4f20mWA9KlAeuiUqoocsXWFUNehzhpmsmOVOWmm7jhXgcnte1xDDp7D9rjcApV+TUcGQ8VQ16T41bPy8b3qr4JsBl+vcROkWrRCwCWl7BW9FZVVRvm5Oxx6I7+Zh7HZMq58skJr8oImmbn6rxt7Fuhvx+NJblrhTKnlta4MIDEuMZpfOyRs1be5ZKpoZ6upSfJcRHZD1wD3G3f9CZbvuQjItLShDsc6+v4zbCULTIYC7vKlXeDYQ/ljtb9/navk00msM2m88TCoaZJyHEXWRBNptrF6r8cFzZKqzfrGgdr1xsNi6fqM702txxHIhoiHBLXUJXVZb/xIqS9pcYpffUE5XHUQlXO55TepHgJVYEuGXd+n/RFeyzZLMdhlV+7jQ5QSrVVjlu/Bs18ptCyogogFgkxnoxtCFU1q6LrJcl4eENy/MjZNPFIqOrp9oquGw5bkv3TwFuUUivAB4CLsWZ6TAPv8XEsXo8XkTeIyL0icu/s7Gxba98xkvA1F7iTDHlIPkJtsqDXi1AyHmEgGt7QyzGftr5UzcJibkKEGi+9Ei2fv+HLfrZJ1zjoXa+3fhfQHe2t1yViDTxyawB0GrELlucUDUtLae52pv91gmQsgkjzctyqCKRHxd6xFg2Yiy4ex0QyTrniPjpAF1v4TY6Dg+FI5109DrCbABu+H0fnrJ19kIbDqfP/yFmrk30zYx/aoauGQ0SiWBf+j9lzy1FKzSilykqpCvAh4Dqvx/o5Xin1QaXUQaXUwamp9ioOfu6FF/HXtx9s69jNMuyh3BGs3auXIU716EFR9cyl800T4+BdWj3TZo6jWWntTJOucY3XIgJrbSVSHsqEvSjkNmuWFBFLtqKFx6E/03arqtolFBJSseYjSL0OcdJMDSWaNpPq0upmF2qvG5F2Bl41O1cXMoWW57hmyslw2D0cFwbQNa7RVVX1XtqR2XTP8xvQ3aoqAT4MHFZKvbfu9p11D3sV8IjXY70evxXwIukAlkfi9wLkJDuiPY5mWCG7kOdQlV+PQ/fKNH7ZZ5t0jWu8zr4G76WmSRcxwFyxTDpfalq6vH04zkwLnbFVn02bnSTVwtCuFb0NcdK0GnHcTOBQk/RYvdaO8utwIkIkJOvOJaUU8y2UEerZNpRgdmVjqGrXSMKzUe0GOoyctT+nXLHMycW1pqKN3aSbHsfzgduAGxpKZ98lIg+LyEPAS7AGRCEiu0Tk8y7H0uz4rYYXSQd9/7DPC9BkKl7t29C4eRzWrOiYa7dvu8nxSDjEcCLimONo6XF4mH0NdY2JHi6KqUSkpSyHWwWaNaWveagqqByH/pvNQ1Xehjhptg3Fmc8UHGfYL2QKRELSNGfmVdql3dnsjQ2rq3lrNnurHg7NtuE4s+n8urkqRwMSN6xH59QeO2NF7Z+YTaNU7yuqoIvluEqprwNOgbfPO9yGUuo0cKvLsSilbuvUGvuZ4QFvHocfZVzN5FCc+55arP6ud2NuU+S8NG3pi4/fUBVslEmv2F3j2x26xjVDiQjHF9zLOteKZZTCNccB7qGqagVaU48jwdePzDU9fjVXJBwS39P/OkGr16ZzHF49Dt3NP58urBvrC5bHMTrYPGemixTccknVfFAbDaX159JCk7HITmwbskY3L2aLjCdjKKU4Opvhldf0vLBzHTcf2MFw4lH++mtPcu2+8VpF1VYKVRk2R1XSwSV5aJUq+vM4plJxFupkR1Zy1m7MreLES9NWJl8iHgkRcZkg50TjLnHe7hpvNWukVWXP+nV5N2jJWOvxsdrjaOahbR9OsJorNR1UpI19EI1kqRbFBGt+cxy6dNUhLLeYKW4YGVuP9kjdhjnpfIzfQoLGTYje8DSb/lePPt/065pN51nNlwJNjIP1nr3u+n38+6NnODaX4YmzaUIC+3s8jRCM4ehbkrEwIemex6FlR4Dq/GdXjyMZ99TH0a54X+MusdbD0drjcCsggNoFyksILdUinAP1HkezUJVzL4DGb19CJ7E00FqHqrx6Qjr35JTnWGjRNQ7e+2WqOQ6fQ4o2GA79mXnxOBo+v289MQ/AM/eM+lpDN/jp5+0nGgrx4a8/yZHZNPsmkoG0CxjD0adU1TA9VFX5vQhp2ZFZ22DoChK3xOGEnVRvNVPb77zxekYHY+tyHK26xjXDHkaYQu0C5WU3PZ6MMZcpNH2dc1qepclFSDcrzjSprFrNlXxfCDtFM6E8qCXHveY4plp0WTeTVNfoHIdrcrxjHoctcOjJ41j/ur50aIapoThXXzDqaw3dYNtwgldes4tP3XeCB44vcXFAeRdjOPqY4QH3MEw7oarG7vFvHpkjJHBgZ2uJ7olkjHypUp3d7USm4F9SXTOejDp6HK3LcaPVEaatyHqYN67ZNhSnUKo0bSycWy2QjIWb5gK0xzHTpOJoNe/f2HeKVuXLOlTluaqqSZc1WDmOZhVVUMtxpN1yHNViC//l3UtrxerQquosDk99HLVQVb5U5quPzXLjFds8jeftBa9/4UXkihVOL+cCyW+AMRx9zVAi2rIB0O8QJ03jTPMvPHKG6y4cd61x1/fPtxj5aXVnt+c6jyVjrBXL1QuY3vG1UiP1Wrac8eFxaA+nWUntfCbfVJql/vhmvRzteImdIhWPslYsO86b8FtVFYuEGBuMMpte/zotgcPWOY5QSBiMhV09jnb6lMAyEErVpE/m0nmSsTAJD2G4gZg1fvbsSp5vH10gnS9x4xXbff39bnLp9iFuuHwbEJzEuzEcfYxb/N7vECdNvezIkbNpHj+b5mVXth4sBbVQVquSXL8S2PXsn7C+BHc/acWUZ1ZyjA1GW140vMyYgNpF0Uv+ZftQ6xzFXNp5Nnt1TXZ3fvNQlX8vsVPoz8apmmnN9toSPptJG98nLXDYKlQFlhF3S46n80Vfszg0jQ2l9x5bZL+P5r2p4ThnV3PceegMA9Ewz78kGAWJZrzxJZcwFI9w7b5gRBeN4ehjhl26ov0OcdJo2ZG51TxffPQMAC+7aqfLUTU3v1WCfClbbFsU8sYrtjM1FOdvvnEMsDwOJ3HDemoeR+tcUM3j8BCqaiGtDbiWLouI1QTYNDkebKgKnBUJtDKun5DMtqHEhhyHbhJ1MxypeNg9VJVrbyOiz9X5dIEHTyzx8KllfvzZezwfv23I+vy+fOgsL7ps0pOn0kuu3TfGQ2+/ObDeEmM4+phhFx0mv0Oc6pkcshLdX3hkmmv2jm6ow3fCS6hqea3Y9sTEWCTEbdfv46vfn+XI2TRnV3KuQ3P8hqq85F90TqXZhd+tWRIs4+PkcWjRvsAMR4tqpqxHZdx6tjl0j2sZETddqGS8ddmzXmc7VXr1ysl//+2nGIyFeZWPPoxtQwkeOrnEmZUcNx1w98aDIKi5IGAMR1/jpsO0sgl57qlUnAdOLPHIqRVPYSqo28U18TgqFcVKrn2PA+Ann7OXWDjE337zSY8ehzdNr4yP+H0yHiEVjzh6HOWKYsGDyur24Y07cbB29eWKCjxU5WQ4vA5xqkfLjtRXoC25yI1okh40wVZ9DnHS6LDq0bkM//rQaV5x9W5f77luAgwJ1XyCoYYxHH2MVn5tVha6GemKyVScY/NWx/XLrvJmOBLRMKl4ZIPOVXU9eWuy3WYGX02m4rz86l18+r5TtuFovbP3MpwIrD6OSEiIO6jsOrHNIXYP1kWxotx7XrYPxZlZyW347IKUG7H+bnMpm6zHeeP1TA3FKZQr61Ru9Shfp3nj9aQ8ehztvFd6auffffMpcsUKP/Wcvb6O170cB/ePe1LUPd8whqOPGUpEqCialr+uVlVW/V+odVXQFTuH2TfhPWnYWB9fz7Ldg7HZwVc/8/z9rBXLrl3j4D05nslbYRiv7v02OznaiC4McOt52T6cIFsob9hRBzXESTNSFZNskuPwKeLXWKEHtRzHaIuqKsBTVVW7oap4xKqMOrOS4+o9o1y1e8TX8fq8u/lA/1RT9RPGcPQxeufeLM+xWY8D4BaP3oamlezIcnVG++Z2aFfuGuE5F44DrbvGoX6EqXty3E9/iVPSF7x32esda2OeRHdtB+Vx7LRzWdNLaxvuWyuUGYj6uyTUeh5qr3Mh21rgUJOKR1r2BEH7yXGohcped/0+38deu2+Mq/eM8sPP2NXW397qGMPRx7glfjeze71g1JoY5ttwJDfO8tBow9GJUbs//wMXIYJr1UhthKl7Oa6fMMy2JqGmWRdlXM32Jr0cVWPfZpPkZklEw0ymYpxyMhxFb7Lz9VTlOeq8s7lVa2CSm3fnJTm+ugklgvFkjJGBKD/8DPeKwUb2jA/yL298vqeikfOR4MTlDa64CR2u5ixBQafpeG684ppdXLFzmEu3+5tVPJmK8eDJJcf7Omk4brh8O/f9r5s8xZe9TAHMFPyFPLYPJ8gVK6zmS+tCgW7KuPXHw8YmwqBDVQC7RwecDUebyXFYH6p6+NQyl7uoEIBlOLKFMpWKciwBzpfKFEqVto3sW268lFJZ9V0p7VbAGI4+xs3jWMmV2r4AxSNhnn6Bv7gvWKGqRXtWdOOXfWnNuqh2wnCAezmnxpPHkfe3m64J3eXWGY65dJ5ISFzzSs1KeoNOjgPsGh3g+zOrG27PFsqex8ZqhuIREtFQtZAgky/x/ZlVbvZQqaenMWYKzuexblJsVzTzxU8z1VDdwoSq+hi38bHWEKfeXoDGk3FKdtltI7UcR293014MRzpf8qV3VI3dN1z459MFxpMx1ya5ZDzCUDyyoZdjtc2mzU6yy/Y4GsNw7VRVVUfl2h7HQyeXqSi4Zu+o67G1KYDOeY7abPbgvDODM8Zw9DFupabLa8VNlb62w2QL2ZHltSKxSKjnoQFL06t1qMq6KLbhcTQkyOczedcwVf1zbDQcJURqIn9BsHt0gFyxwmLDtMW1ov+qKlg/QvaBE0sAnpRkq8OcmsiOtKuMYOg+xnD0MW7NbScWslwwNtDLJVWlxJ26x1fWNtf81y5ePA6/qr21UNP6C/+sx7nV4DxCVje0Bam0ussujDhdl+colisUy8q3xwF2z4udy/nu8UX2Twy6Nv+B+9zxfgjrGZwxhqOPqZWabvxilcoVTi6usXe8t9O/9EXTqZdjMzpVm8FNmgUg61O1NxWPMBgLb/Q40vmqnLgb2x1kR1Zzpbb6bjqJ3mycXKwZDh1mbOciPTUU56zdPf7AiSWu2etNeM9t7ri+PajZJYbmGMPRx9RKTTdeFKeXc5Qqin0TPTYc9k5yzsFwLAfocaTzpaYd9pWKsnSYfHgcVux+fahJKWXrVHnzOLYNW93n9esKcvqfxsnjeMKeX92OaN62oTiruRLH5rOcXc1ztcdJeSmXHEc/5IMMznTNcIjIHhG5S0QOi8ijIvJm+/a3i8gpEXnA/ndrk+NfJiKPicgREXlb3e3jInKniDxu/x+MrnCPaDbM6fiCJReyp8cex1hVdXRjqGozAoebwa3Dfq1YRilv88br2dagN5UtlMkVK55zHNuHEhTKlXVTDYNUxtWMDUZJREPrSnIftw3HpW0MBtKFBF+ylZa9JMbBhKrOZbrpcZSAtyqlrgCuB94oIgfs+96nlLra/vf5xgNFJAz8OXALcAD4ibpj3wZ8RSl1KfAV+/cty1Ai4tjH8ZStM+VHLqQTRMMhRgejjt3jwXkcrTvsdfLVj8cBG5VfdeOjmzKuxqmXYzVfbLu8tFOICLtHB9Z5HEfOpknGwtXOcj/oXo4vHZohFglx+Q73Hg6onwLYOlTVbue4oXt0zXAopaaVUvfbP68ChwGvusbXAUeUUkeVUgXgE8Ar7PteAXzU/vmjwCs7tug+ZCje3OOIhUPscFGP7QYTTfSqlrO9r/IC936XbLUfwK9k+PochVedKs12B9mR1U303nSSXQ6G45JtqbakurXhuP/4IlftGvbckKpzHM2GOa3kim1N/zN0n57kOERkP3ANcLd905tE5CER+UiTUNNu4ETd7yepGZ3tSqlpsIwTsKW7fJpVDB1fyHDB2ADhAKpznGRHyhXFar7U3x6Hz1LT7cPxdUKFOjznJzkO6yuz+iFUBRu7xx8/u8ol2/ypCGh06bJSeE6Mg/vccauQIPj3yrCRrhsOEUkBnwbeopRaAT4AXAxcDUwD73E6zOE258xn87/7BhG5V0TunZ2d9bfoPsLKcTiHqvb2ODGumUjFNszkWAmo+Q/qp9o571x18tVv70RNqNC68Os8gNuMEM324QSRkPDUfAawkutBjo2tZ/foAHPpArlimeW1IjMreS7d3t40uYlkHL1/8ZoYB/e54+k2Z3EYuk9XDYeIRLGMxseUUncAKKVmlFJlpVQF+BBWWKqRk0D9nMcLgNP2zzMistN+/p3AWae/rZT6oFLqoFLq4NTUVGdeUABYc8fXf7GUUhyfz7Kvx4lxjaWQu97jWOqgTpVf3BolazkOfyGP7XXd40op/uW7p7h235jrVEJNLBLikm0pDk9b8h75ktUr0Q8eh66sml7OccQ2iJe0OYY0HJJq3seP4YDWQof9YmQNG+lmVZUAHwYOK6XeW3d7vVTlq4BHHA7/DnCpiFwoIjHgtcBn7fs+C9xu/3w78JlOr72fGEpESedLlCv1E9aKrOZLPa+o0kwk4yxmi5TKleptnRQ49ItbqCrbpuZRvfLrw6eWefxsmh991gW+nuPAzmEOnV6x19f+qN9Oow3HqcW1ailuux4HWOG7yVTcd0NqqsUUwH4J6xk20s1P5fnAbcDDIvKAfdtvYlVIXY0VejoG/DyAiOwC/lopdatSqiQibwK+CISBjyilHrWf453AJ0XkZ4HjwKu7+BoCR19k0nX5g6cWgqmo0ujk8GK2WN19B2s4PHocvpVfax7H/U8tEouE+CGfEt0Hdg1zx3dPMZ/O94UyrkZf4E8vrfH42VXikRAXjLW/EXnF1bsoliu+k+uDsTDZJmXU6XyJvclgNkeG1nTNcCilvo5zrmJD+a39+NPArXW/f97psUqpeeClHVpm3zNct5vWF+XjVcMRnMcBlm5To+EIIscxEA0TbjHMSYdC/OY4hhORar/DZx88zc0Htvs2jFfY8uKHp1erBq4fdtHbhxOIwMmlNR4/m+biqdSmCi1+/gcubuu4VnPH+6UCzbAR0zne51QTv2u1L9dxO9m6ZxM7xM2gPY76Xo7lrPVzEOW4bsOc9I7Wb45DK79+5oFTLGaL/Oi1/sJUUDMch6aX6xragr8YxiIhtg8lOL20Vi3FDYJWc8dX+qDL3uCMMRx9jlP8/qn5LNuG4r6H7nSKmkJuLUEeZKgKWgsdZvIlomFpqx9g+3C8GpJ74SWTvo8fT8bYOZLg0OmV6mfYL5VCu0YTHDmb5uTiWlsd452gWXJcKUU6b3Ic/YoxHH2OU/z++EK25+KG9ehQVX0T4PJakUQ0uGYtq1GySXK84H8kqkbLabzy6l1Ewu19XQ7sHObQ9ErfSWjsGh3gIXua42YS45shFQ879nFkCpZMTL+8V4b1GMPR5+jQz2q+dlE8vhBcDwdYXkU4JBs8jtEBbx3V3cCpbFmT8amMW4+urGonTKU5sGuYJ2Yz1XnlQavjanaPDaCL9dpt/tssg7GIY+d4PxUSGDZizHmf0+hx5Iplzqzk2DceTEUVWI1bO0cSHF+odR4HJamuGUpEHedog1VV5VenSvOag3vYNTLgWX/JiQM7hylXFPc/tQj0j/bSbrskNxKSwAotms0dr07/65OwnmE95lPpc2rJcWsHdnJxDaVg70RvBzg1cvmOYQ5Pr1R/D0rgUDOciPC9plVV/oY41XPFzuFqgrtdDuyyjr/n2ALJWDgQmRgndo1Y59CFk0mibYbhNkuzueMrfRbWM6zHhKr6nHgkTCwSqnocxxesiqq9AXocAAd2DnF0Nk2uaMWngxhjW0/rqqr2Q1WdYM/YIKl4pO/KS3fbvRxB5Teg+dxxE6rqb4zhOAcYTkSrO7CanHqwjVFX7BymouDxGavreGWtGEgPh0Z32DsNc8rk20+Od4JQSLhip5VD6Kcd9O6xAUICl20PJr8BtVBUYy9HdfpfH71fhhrmUzkHGB6I8KVHz1CpKI4vZBmMhauT+ILi8mpj2wpPv2CEpYBDVUOJCOWKIuswW3x5rcjlO4K7OIJlaL9zbLGvLoTDiSj/92efw1W7RgJbg27KbCzJ7bcKNMN6jMdxDvDrNz+NZ1wwwr8/eoZvHZ3n0u1Dbc1N6CT7xgcZjIU5NL1CsVwhWygHnhwHZ9mRhUyB8YAN7QHb0Kb6LPTy/EsmGQnQUxysy3HUY0JV/Y0x5+cAtzx9J7c8fSeViuLoXDrQXIImFBKetmOI751ZCbz5D2o703S+CNRkz9cKZdaKZcY9Dl/qFjpBbnbQ62k2dzydKyECg1EzxKkfMR7HOUQoJFyybajalBY0V+wc5vD0anWmdrA5DueZHIu2FMr4YLCG47LtQ4RD0hfKuP1Es7njK/YsjlCfVKAZ1mMMh6FtrtgxxPJakcfOWPMmgq2qcg5V6e72sYBDVYlomN/54QO85uAe9wefRzRLjlvT/4L3rA3OmO2PoW10f8O3j84DwYaqasOc1vdyaMMRdDEBwO3P2x/0EvqOZh5HOl80zX99jPE4DG1zeR8ZjlSTmRw6VBW0x2FwRucwMoXGPg4jcNjPGMNhaJtUPMLe8cHqLO7RvghVrfc4tPR7P3gcho00mztuDEd/YwyHYVPoxjYINseRjIUJibPHEZL+ERY0bMRJWn01V+y70mVDDWM4DJtCi/8lY+HA9I7AGro0Ohhjvk7qHawcx9hgzFTn9DFOc8fNLI7+xhgOw6bQCfIg8xuaHcMJZpZz627rh+Y/Q2uS8Y2hqhUTquprjOEwbArdEd0PTYm7RhOcdjAcJjHe3yRjkXUNgPlSmUKpYsKLfUzXDIeI7BGRu0TksIg8KiJvbrj/10REiciGeZwi8jQReaDu34qIvMW+7+0icqruvlu79RoM7lwwNkAqHgm0+U+zYyTBmeX1MzkWs4XAm/8MrUnGI+skR8wsjv6nm59MCXirUup+ERkC7hORO5VSh0RkD3ATcNzpQKXUY8DVACISBk4B/1z3kPcppd7dxbUbPBIKCbc+fQc7RoKdDwKwc2SAxWyRXLFMwi7zXMgUOLjfGI5+pjE5bgQO+5+ufTJKqWlg2v55VUQOA7uBQ8D7gN8APuPhqV4KPKGUeqpbazVsjnf92DODXgJg5TgAppdzXDiZpFJRLGaLxuPocxrnjtcMR/BerMGZnuQ4RGQ/cA1wt4i8HDillHrQ4+GvBf6h4bY3ichDIvIRERlr8jffICL3isi9s7Ozba/dcO6wc1QbDitctZorUa4ok+Poc6wcR53Hkbd6cUyoqn/puuEQkRTwaeAtWOGr3wJ+x+OxMeDlwKfqbv4AcDFWKGsaeI/TsUqpDyqlDiqlDk5NTbW7fMM5xE47XHbGTpDPZ/KAaf7rd5LxCGvFMuWKNYTLhKr6n64aDhGJYhmNjyml7sC64F8IPCgix4ALgPtFZEeTp7gFuF8pNaNvUErNKKXKSqkK8CHgum6+BsO5Q32oCozcyLlC0p7JkbUT5NpwmKqq/qVrJl2sSUMfBg4rpd4LoJR6GNhW95hjwEGl1FyTp/kJGsJUIrLTzp8AvAp4pMNLN5yjDMTCjA1Gq6GqhYwV8jA5jv6mfu74UCJK2paNSRmPo2/ppsfxfOA24AYvpbMisktEPl/3+yBW5dUdDQ99l4g8LCIPAS8BfrULazeco+wYGWB6yfI4FuxQVdBDnAytaZRWN6Gq/qebVVVfB1rqPCil9tf9fBq4te73LDDhcMxtnVulYauxcyRRDVUZj+PcQM8d1wKVq/kSiWgoUAkbQ2vMJ2PYUuwcSXBmpZbjSERDDMTM+NF+5nJbKPM7xxYAy+NIxU1+o58xhsOwpdg5kmAhUyBXLDOfLjCRjAe9JIMLF4wNcsXOYe48ZNXArOaKZsRun2MMh2FLsaOuJHcxW2AsaXau5wI3HdjOfU8tMp/Om1kc5wDGcBi2FLtGaiW5WlLd0P/cfGA7FQX/8b2zpPMlU1HV5xjDYdhS7BipdY8vZAqm+e8c4cpdw+wcSXDnoRlWc0WGTI6jrzGGw7Cl0N3j08s5Fo2k+jmDiHDjFdv52uNzzKcLJlTV5xjDYdhSDMTCjA5GOT6fZTVfMqW45xA3HdjOWrHMfKZgQlV9jjEchi3HjuEEh6ZXANP8dy5x/UUT1WZAo4zb3xjDYdhy7BxJ8NjMKmCa/84lYpEQP/A0S5DUlOP2N8ZwGLYcO0cHKJQqAGbe+DnGzQe2A0ZSvd8xhsOw5dhpq+SCMRznGi+9Yju3XLWD6y4cD3ophhYYs27YcuiSXDCS6ucaqXiED7zu2qCXYXDBeByGLceuUaskVwRGB0yS1WDoNMZwGLYc2uMYGYgSMQqrBkPHMd8qw5ZDTwI0FVUGQ3cwhsOw5UjGIwwnIiYxbjB0CWM4DFuSS7al2DM+GPQyDIYtiamqMmxJPvTfDxKNmH2RwdANjOEwbEkmUmaAk8HQLbq2JRORPSJyl4gcFpFHReTNDff/mogoEZlscvwxEXlYRB4QkXvrbh8XkTtF5HH7/7FuvQaDwWAwbKSbvnwJeKtS6grgeuCNInIALKMC3AQcd3mOlyilrlZKHay77W3AV5RSlwJfsX83GAwGQ4/omuFQSk0rpe63f14FDgO77bvfB/wGoNp46lcAH7V//ijwys2t1GAwGAx+6En2UET2A9cAd4vIy4FTSqkHXQ5TwJdE5D4ReUPd7duVUtNgGSdgWzfWbDAYDAZnup4cF5EU8GngLVjhq98CbvZw6POVUqdFZBtwp4h8Tyn1Xz7+7huANwDs3bvX97oNBoPB4ExXPQ4RiWIZjY8ppe4ALgYuBB4UkWPABcD9IrKj8Vil1Gn7/7PAPwPX2XfNiMhO+/l3Amed/rZS6oNKqYNKqYNTU1OdfWEGg8FwHtPNqioBPgwcVkq9F0Ap9bBSaptSar9Saj9wEniWUupMw7FJERnSP2N5KI/Yd38WuN3++XbgM916DQaDwWDYiCjVTn7awxOLvAD4GvAwULFv/k2l1OfrHnMMOKiUmhORXcBfK6VuFZGLsLwMsMJpH1dKvcM+ZgL4JLAXqyrr1UqpBZe1zAJPtfEyJoG5No7rFv22HjBr8opZkzfMmrzRqzXtU0ptCNl0zXBsBUTk3oZS4EDpt/WAWZNXzJq8YdbkjaDXZDQZDAaDweALYzgMBoPB4AtjOFrzwaAX0EC/rQfMmrxi1uQNsyZvBLomk+MwGAwGgy+Mx2EwGAwGXxjDYTAYDAZfGMNBtVnR0IJ+fI/6dE3mO+WCiPTdHKC6huO+O6f6kfP2JBeRK0XkxQCqTxI9dVIq4aDXAiAiV4jIc6Gv3qOrROQHRSTSR2t6uoi8FUApVXF7fC8QketE5A/7yZCJyHNF5EPAs4Nei0ZEniUi/wT8LPTHeS4iV4vI652kmPqFvrP83cb+Iv0ZcANwXEReCnxGKXWviISC+OLbQpAfAH5KRJ6plHpYRMJKqXKv12KvZwR4N5Y+2KyI3A38jVLqSBDrsdc0BrwDeB7wBHCjiPylUuqJoNZUxzuAHxSR+5RS/xnwZzcM/BHWxflvlVIVEZGgL4gi8nrgV4C/AL4b5Htkr2cCeDvW+zQOfNu+PcjPLop1bTqINYbiehH5oFLq7iDW04q+2Y30kDFgCLgC+ClgHniriKQC3C3+N+AE8CdYBoQgv1RYs1JEKfVM4OeBCWB/gOsBa015pdTVwM8BVwKBhhXqQi7/Bfwp8AdgfXYB7vR/C2tw2s1Kqb+w1xP4LhpLIui3lFIfUErlAj6/wdoYKaXU9Vjexm0Q+Pfu6cCIUupapdTrsK7P/SZ1ApwnhkNEbhKRm+xfh4HnAoNKqVks9d4F4I32Y3tyMbLXpOXlPwe8Tyn1P4C9IvJa+zE98wgb1vMB4HcA7B39KNZJ3VPsNf2g/evblVK/av98M9Yu8Uodm+7xmm4EUEqV7PPlB4EPAWdF5Ofs+yo9Ppf0+/QRLMXobSLyYyLybhF5rYj0dLZA/ftke7BXAveIyA0i8kUR+U0R+RH7/iC+c7+glPoV++dZ4JCIPK0X63BYk742lYHXiMiI/d5cD7xURK6xH9s3+ZctbTjsPMYngN8EFgGUUk8C38CaDwIwDdwBXCMiu7q9O2tY04K9phVqO4v/AbzLvr3UzbU0rOe36tZz0p6Fog3XGlZ4qCc0vEfz9pry9n0vAn4Na/rjq4DfEZELerymJfs2nWd5AMtj/APg10XkUyJyQY/PJf0+PYYVdvkC8EvAY8Cr7XUF8j4ppZaBZeDvsSZ2/gXW9+537NBsr96n+nM8X+cVKmAXkLUf3/ULdJNr04PAO7Hen78E/hDYA/yeiFzWJ56jhVJqS/7D2pHOA3/hcN9LgM8DF9q/XwX8LXBxUGuy79cNmd8Eftf+ORHgeiL2/18CrrF/DgX5HjU89gCWAXlJgOfSINYF8XLgPVgXy6/a94V7uSb92QADwE83vE9/A7yw1+9T3Zr2Yu3s31Z33x8Cv9MP5xPwH8Cb7J8lwPdJgN8GXmT/PgG8H/iZbq7J778t53GIyE47wbWA9UWO27f/tF2Ns08pdRfwXeCPAZRSjwD7gHwAa7pZLBl5AF1N9UrgV0Tk7cCfisj2INajrFDMJcCCUuq7IvKLwG+LyGgn1+NnTWJjr+8Qlrz0sU6vx+OaLlFKZe2HfwdIYRVd7BWRZ6guxMtbrQmrYOBSpdQalkEFqu/TDqwxBB3Hw5ouUUodx9qc/VjdoduwNkk9XVPD+aSvgZ/CCu+FlX3F7uWaqH12CmtS6msAlFLzwG7gUDfW1DZBW64OWvGXYs3/+DTwV/ZtA8CD1MJRfwo8hDWJMAZ8C/g/WEOi/hYrad6x3YbHNf2JvaZL6o67Eive+Z/A0wNaz6X2/Tdhhanuwgp/PC2Az636HmHtyCLAK4CvYMX0g/jc/hQrRHU58EPAZXXH3wbsDfJ9qjvu5fb79OEAz+9HgP32/Z/GCsd8275/Z4Dv06V1x/0BVuVgx9bSxpoets/xK+3v3B/bx30CmOrG2tp+TUEvoEMfzGXA3Vi7mW32Be6l9n23ALfXPfYjwP9n/7wdq7zz5QGv6cPAH9g/X4AV3/zxgNfzR/bPr8OKC9/YR+/RjcA9wCsDXtPfAL9X93uILoTyNvE+PQ+4rw/epw/XfeeGsYztzX2wpnfU/X4hcEsfnE/6s7sGq6LxVZ1eUyf+nbN9HNrFVFYJ7dXAPUqpfxKrjj0DPCYiUaXUF/Tj7cd+DuvCg1JqBpjpgzV9Hqt6QpRSJ4Ff6IP13Gg/zceVUn/fifV0YE0vtY/9MvDlPljTv+k11R0f9Jrqz6VvAtf2y5rsY1eAFeB7/bIm+/gngScDXtO/Ubs2fRcrnN6fBG252vkH/AxwGnvHgLWD+SZWSeRTWHX1fw/8X/t+nXS+HctFfcVWX1MH1vPKPnyP+nFN/XgumffJrKmr/wJfQBsfTAr4F+DNwP3YMXdgCvh14Bft3xNYVRzX2z+/Bytn8OytvqZ+W49Zk1mTWVMwa+rWv8AX0OYHtNf+/53AP9g/h7Dili+se9yfAS+z79t3Pq2p39Zj1mTWZNYUzJq68jqDXsAmP6QdWEnSW+zf/yeWxsvTsBprHgAuOp/X1G/rMWsyazJrCmZNnfx3zk8AFJGfB16nlHqh/fu7gZ1Ylvw3lFInzvc19dt6zJrMmsyagllTpzinDYeuRhBLFvkslmTAJ4GHldUEdd6vqd/WY9Zk1mTWFMyaOsk53TlufzCDWPXRrwGOK6XuCfKD6bc19dt6zJrMmsyazn3O2T6OOn4Jq4LhJmUL4fUB/bamflsPmDV5xazJG2ZNPeScDlX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    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plot the first 100 time steps\n", - "ds_trop_avg.tas.isel(time=slice(0, 100)).plot()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 4. Nino 3.4 Region\n", - "\n", - "> Niño 3.4 (5N-5S, 170W-120W): The Niño 3.4 anomalies may be thought of as representing the average > equatorial SSTs across the Pacific from about the dateline to the South American coast. The Niño > 3.4 index typically uses a 5-month running mean, and El Niño or La Niña events are defined when > the Niño 3.4 SSTs exceed +/- 0.4C for a period of six months or more.\"\n", - ">\n", - "> — https://climatedataguide.ucar.edu/climate-data/nino-sst-indices-nino-12-3-34-4-oni-and-tni\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "ds_nino_avg = ds.spatial.average(\"tas\", lat_bounds=(-5, 5), lon_bounds=(190, 240))" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    <xarray.DataArray 'tas' (time: 1980)>\n",
-       "array([27.00284678, 27.06796429, 26.18095324, ..., 27.17515272,\n",
-       "       27.30917002, 27.38399379])\n",
-       "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 1850-01-16T12:00:00 ... 2014-12-16T12:00:00\n",
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    " - ], "text/plain": [ - "\n", - "array([27.00284678, 27.06796429, 26.18095324, ..., 27.17515272,\n", - " 27.30917002, 27.38399379])\n", - "Coordinates:\n", - " * time (time) datetime64[ns] 1850-01-16T12:00:00 ... 2014-12-16T12:00:00\n", - " height float64 2.0" + "Text(0, 0.5, 'Near Surface Air Temperature [$^{\\\\circ}$C]')" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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1a6FSqTBjxgyhy2z06NE+rvFSrCnY92PkyJHCc95yyy1Qq9UYPHiwZJ+VSL++hAREWdRNEH7pynCQ53n+F7/4BQ8g6C6z2tpav/v23nb79u38ZZddxicnJ/M6nY6fOHEi/+mnnwa11rfeeou/5JJL+OzsbF6lUvHp6en8pZdeyr/zzjs+27EOpUcffbTbfYZrzMjzPN/e3s736dOHHzhwIG+324X7T58+zd9222187969ebVazefk5PCTJ0/mn3rqKZ/Hf/TRR/zIkSN5jUbD9+nTh3/22Wf5e+65h8/IyPC7BjGvZyjvkT9Wr17N/+IXv+AHDhzIp6Sk8Gq1mu/Tpw8/f/58/vDhwz7bfv755/wFF1zA63Q6vqSkhP/rX/8asHOo45p43n+XWWNjI3/77bfzubm5vF6v56dMmcJv376dv/TSS/lLL7200z4OHz7M33DDDXxWVpbw2t5666282WwWtgn2PQpEMJ+hYJ6nq9ejq/137ABlj9+zZw9/1VVX8SkpKbzBYOBvvvlmvrq6WtI18Xxo78fSpUv5Xr168QqFggfAb968med5aT4rwf4vROzA8TyN/SYIontsNhsuuOAC9O7dGxs2bIj2cog44bHHHsPjjz+O2tpa2fVjBBEOVDIjCMIvt99+O2bMmIGCggJUVVXhtddew5EjR/Diiy9Ge2kEQRCSQwERQRB+aWlpwX333Yfa2lqo1WqMHTsWn3/+OX7yk59Ee2kEQRCSQyUzgiAIgiASHjJmJAiCIAgi4aGAiCAIgiCIhIcCIoIgCIIgEh4KiAiCIAiCSHioyywInE4nKioqYDAYJHXZJQiCIAhCPnieR0tLC3r16gWFInAOiAKiIKioqJBsdhZBEARBEJGlrKzM7zgdbyggCgKDwQDA9YKmpqZGeTUEQRAEQQRDc3MzioqKhPN4ICggCgJWJktNTaWAiCAIgiDijGDkLiSqJgiCIAgi4aGAiCAIgiCIhIcCIoIgCIIgEh4KiAiCIAiCSHgoICIIgiAIIuGhgIggCIIgiIQnpgKi0tJSjB8/HgaDAbm5uZgzZw6OHj3qsw3HcX5vf/rTn7rc78qVK/0+xmw2y/0vEQRBEAQRB8RUQLR161YsWrQIu3btwsaNG2G32zFz5kyYTCZhm8rKSp/bW2+9BY7jcP311wfcd2pqaqfHJiUlyf0vEQRBEAQRB8SUMeP69et9fl+xYgVyc3OxZ88eTJ06FQCQn5/vs80nn3yC6dOno6SkJOC+OY7r9FiCIAiCIAggxjJEHTEajQCAzMxMv3+vrq7GZ599httvv73bfbW2tqK4uBiFhYW48sorsXfvXknXShAEQRBE/BKzARHP81iyZAmmTJmCESNG+N3m7bffhsFgwHXXXRdwX0OGDMHKlSuxbt06rFq1CklJSbj44otx/Phxv9tbLBY0Nzf73AiCIAiC6LlwPM/z0V6EPxYtWoTPPvsMO3bs6HJC7ZAhQzBjxgy8/PLLIe3b6XRi7NixmDp1Kl566aVOf3/sscfw+OOPd7rfaDTSLDOCIAiCiBOam5uRlpYW1Pk7JjNEd999N9atW4fNmzd3GQxt374dR48exR133BHy/hUKBcaPH99lhmjp0qUwGo3CraysLOTnIAiCIIh4gud5mG2OaC8jasRUQMTzPBYvXoy1a9di06ZN6NevX5fbvvnmm7jwwgsxevRoUc+zb98+FBQU+P27VqsVJtvThHuCIAiip8PzPO79YB9GPbYBRyoTUyYSUwHRokWL8O677+L999+HwWBAVVUVqqqq0N7e7rNdc3MzPvzwwy6zQwsWLMDSpUuF3x9//HF88cUXOHXqFPbt24fbb78d+/btw69//WtZ/x+CIAiCiAdWf1uGdfsrYHU48en+imgvJyrEVED06quvwmg0Ytq0aSgoKBBuq1ev9tnugw8+AM/zuPnmm/3u59y5c6isrBR+b2pqwp133omhQ4di5syZKC8vx7Zt23DRRRfJ+v8QBEEQRKxzps6EJ/5zWPh92/HaKK4mesSsqDqWCEWURRAEQRDxgt3hxA1/34m955owqjANB8677G6+e+gnyE7RRnl14RP3omqCIAiCIOTnlS0nsfdcEwxaFV755VgMLXAFDV+dqIvyyiIPBUQEQRAEkYAcPG/Ei/9zdVs/MWc4CjP0mDooGwCw9Vjilc0oICIIgiCIBOTfe8rgcPKYNTwPcy7oDQC4dGAOAGD78TokmqKGAiKCIAiCSEDKGl0d3JcOygXHcQCAC/tmQKdWorbFgiOVLdFcXsShgIggCIIgEpDzjW0AgN4ZOuE+rUqJiSWu+aHbE6zbjAIigiAIgkgweJ5HuTtD1Dtd5/O3qYNcZbNEa7+ngIggCIIgEgxjuw0mq2tMR1cB0benG9FmtUd8bdGCAiKCIAiCSDDOu7NDWcka6DRKn7+VZCejd7oOVocTu083RGN5UYECIoIgCIJIMMqb3OWyDF2nv3EcJ7Tfb0ug9nsKiAiCIAgiwWD6oUI/AREATHW331NARBAEQRBEj0XIEKX7D4gm98+GggNO1ppwps4UyaVFDQqICIIgCCLBEFruuwiI0vRqXDzAVTZb8/35iK0rmlBARBAEQRAJhkdDpO9ymxvGFQEA1uw5D6ez57tWU0BEEARBEAlGVx5E3swclofUJBUqjGZ8fbI+UkuLGhQQEQRBEEQC0Wa1o7HNBsB/lxkjSa3E1Rf0AgB8uKcsImuLJhQQEQRBEEQCwbJDhiQV0nTqgNvecKGrbLb+UBWM7TbZ1xZNKCAiCIIgiBiizWpHq0U+h+jz3XSYeTOqMA2D8lJgsTvxnwMVsq0pFqCAiCAIgiBiBLPNgWv++hWmLt+MFrM8GZnz3XgQecNxnJAl+vC7nt1tRgERQRAEQcQI/9x5BsdrWtFgsuLHqhZZniMYQbU3c8b0hlLBYV9ZE07UyLOmWIACIoIgCIKIAYxtNvxt80nhd7kMEQON7fBHjkGL6YNdztU9OUtEARFBEARBxACvbD3hI1w+W98my/OUC6aMXXsQdWSuu2z2nwOVsqwpFqCAiCAIgiCiTEVTO1Z8dQYAMLl/FgDgdL28GaJgNESMiwdkCY+VS9sUbSggIgiCIIgo89zGY7DanZjQLxO3Tu4LADgrQ0BktTtR02IBEHzJDAAMSWrkGLQAgFO1PXO2GQVEBEEQBBFFfqxqFuaFLb1iKPplJwMAzta1geelHZlRaWwHzwNJagWykjUhPbbEva5Tda2SrilWoICIIAiCIKIEz/N4+rMj4HngZyMLcEFROooy9eA4oMViR73JKunzsZb7Xuk6cBwX0mNLclIAUIaIIAiCIAiJef+bc9h+vA5alQL3zxoMwDUyo1eaq5wlddks1JZ7b/rnuDJEJ2spQ0QQBEEQhEScqTPhqf8cAQD8fvYQ9HWXpACgOMvVAXa6TtpOs/MiBNWMEndARBkigiAIgiAkweHk8bsP96Pd5sCkkixBSM1gwZFcGaLCjOBb7hkl2a6S2ek6E5xOabVNsQAFRARBEAQRYf6+7ST2nG2EQavCn28cDYXCV8/T150hOiOxF1F5E/MgCj1DVJihg1rJwWJ3Cq37PQkKiAiCIAgighypbMbzG48BAB69erjf4KQ4y5UhktqtOlSXam9USoWwrlMyuWhHEwqICIIgCCKCvLPrLGwOHj8Zmofrx/b2uw1rvT9Tb5Ks9d7h5FHZZAYgLkMEeLXe90BhNQVEBEEQBBFBqo2uoOQnQ3O7bH3vk+kqmbWY7Whsk8YZurrZDLuTh0rBIS81SdQ++uf23NZ7CohiiL3nGnHrim9wpLI52kshCIIgZKKhzeUtlBHAGNHVeu8KWk5LVJ6qNLrKZXmpSVAqQvMgYvRkc0YKiGKEdqsD93ywF1uO1mLt9z13mjBBEISU7DxZj+/ONER7GSHR6DZbzOzGKZrpdaTqNKttcT1vbqpW9D6YOePJGsoQETLxt80nUNbgit5bLY4or4YgCCL2MVnsuHXFN/jF67tR02yO9nKCpsEdEGXoAwdEfbPdnWYSZYjqTa4ZZlnJ4gMiZs5Y1WyGyWKXZF2xQkwFRKWlpRg/fjwMBgNyc3MxZ84cHD161GcbjuP83v70pz8F3PeaNWswbNgwaLVaDBs2DB999JGc/0pInKhpxd+3nRR+b7P2rA8ZQRCEHNS1WmCxO2F1OLHm+/JoLycobA4nms2uY3x3GaK+rNNMotb7hlZXIBbqDDNv0vUaYd1SlfJihZgKiLZu3YpFixZh165d2LhxI+x2O2bOnAmTyfOiV1ZW+tzeeustcByH66+/vsv97ty5EzfddBPmz5+P/fv3Y/78+bjxxhuxe/fuSPxbAeF5Hg99fBA2B48ktevtaLNShijaOJ285EMVCYKQliYvsfHqb8/FxXe20a0fUnBAmk4dcFupS2ZsLlpWiviACPDoiHraCA9VtBfgzfr1631+X7FiBXJzc7Fnzx5MnToVAJCfn++zzSeffILp06ejpKSky/2+8MILmDFjBpYuXQoAWLp0KbZu3YoXXngBq1atkvi/CI2P95Vj16kGJKkVWDx9AP684RhliKKM08ljzitfAQA+uuti0eJDgiDkpandExCdqW/D7tMNmFiSFcUVdU+jybXmdL2m22MLa70/XedqvQ91GGtH6lrdJbMU8SUzwDXC47uzjT2u0yymMkQdMRqNAIDMzEy/f6+ursZnn32G22+/PeB+du7ciZkzZ/rcN2vWLHz99dd+t7dYLGhubva5yYGxzYanP3PNsbn7soEYlGcAQBmiaFPXasGB80YcOG/scVdABNGTaGrznQT/r2/LorSS4PHohwJnhwBP632z2e6TDRNLvbtklh1uhohNvaeSWWTgeR5LlizBlClTMGLECL/bvP322zAYDLjuuusC7quqqgp5eXk+9+Xl5aGqqsrv9qWlpUhLSxNuRUVF4v6Jbth8tAZ1rVYMyE3Bry4pgV7jSti1kag6qtS6r6IAYF9ZU/QWQhBEQIzuDBEbVPrZwUrhvliFlcy60w8BgE6jRL7bL+iMBGUzFoyFI6oGeq45Y8wGRIsXL8aBAwcClrTeeust/PKXv0RSUvcGUx1TjYHSj0uXLoXRaBRuZWXyXHXMGdMb//71JCyfOwoalQJ6rRIA0Gajklk0qWv1XHXup4CIIGIWVn6aMiAbg/MMsNidWLcvtsXV9UG23DOETjMJAiLWZRbsc3eFkCGq7VlDXmMyILr77ruxbt06bN68GYWFhX632b59O44ePYo77rij2/3l5+d3ygbV1NR0yhoxtFotUlNTfW5yMa5vJsb2yQAA6DXugIgyRFGlrsWTIdp/vil6CyEIIiBN7a7gIl2vwU3jXZn8D2K8bBasBxFD6DSrC6/TzOHkhQxRuCWz4iw9VAoO7TYHquLI7qA7Yiog4nkeixcvxtq1a7Fp0yb069evy23ffPNNXHjhhRg9enS3+500aRI2btzoc9+GDRswefLksNcsJcmsZEYaoqhS51Uy+7GyBWYbvR8EEYsY25hAWY1rx/SGRqnADxXNOFRujPLKuiZYDyJGX6+ZZuHQ1GYFS+YEcsgOBrVSIeibepKwOqYCokWLFuHdd9/F+++/D4PBgKqqKlRVVaG9vd1nu+bmZnz44YddZocWLFggdJQBwL333osNGzZg2bJl+PHHH7Fs2TJ8+eWX+M1vfiPnvxMyOneGqN3mgKMHpSHjDe+AyO7k8UMFjVIhiFiEdZml69TISNZg5nBX1v/PG47GbENEKBoiAOibxUpm4WWIWCCWrldDrQz/1F+S0/NGeMRUQPTqq6/CaDRi2rRpKCgoEG6rV6/22e6DDz4Az/O4+eab/e7n3LlzqKysFH6fPHkyPvjgA6xYsQKjRo3CypUrsXr1akyYMEHW/ydUWIYIcAVFRHTw1hABpCMiiFiFdZmlu7Mt8ycWg+OALUdrcflftuLGv+/E2u/Pw+ZwRnOZPoSaISoWSmbhZWLYcS1c/RDDW0fUU4gpH6JgTbXuvPNO3HnnnV3+fcuWLZ3umzt3LubOnSt2aREhSa0AxwE873KrTtHG1NuTMLAMUd8sPc7Ut5GOiCBiFCFD5G5hn1CShbf/7yK8/fUZbD5ag29ON+Cb0w04cN6Ix64eHs2lCrCAKDNIHU+xO0NkbLehqc0qBH+hwgTV2WF2mDEGuAOizUdr8HvrEKHCEc+EdMZdt25dyE8wY8YM6HS6kB+XiHAcB71aCZPV4RJWG6K9osSEXUldPjQPb+44Ta33BBGjeGuIGFMH5WDqoBxUGc144ctj+ODbMhypjJ2ytyCqDjKw0WtUyDVoUdNiwdn6NvEBUas0LtWM2SPz8dzGYzhb34Zl63+MmYAzHEIKiObMmRPSzjmOw/HjxwO6SBO+6LUqV0BEwuqowTJElw/JxZs7TuNsfRsaTdawhYgEQUgHz/NeGqLO3838tCTMGdMbH3xbhlqvztFo0xCihghwZYlqWiw429CG0UXpop63XnCpluY4lpqkxrK5o3DLW99g5ddnMHN4Hib3z5Zk39EiZA1RVVUVnE5nUDe9Xi/Hmns0Qus9je+ICk6v1tT+uSmCdT6VzQgitmi12IXmk/QuXJ/z3KaG1THSGt5udcBsc+mZQrnAEmaahaEjqpfIlNGbSwfl4BcT+gAA7v/wAFrMsW2K2R0hBUS33HJLSOWvefPmyerh0xPRU+t9VGlsswoH2cxkDUYXpgEA9pfFbhsvQSQibJSFVqVAktq/fiXX4Dr5m6wOtFqif5HJdDwapQLJIWhuWKfZ2QbxnWZSl8wYf7hiKIoydShvasdT/zki6b4jTUgB0YoVK2AwBC9sefXVV5GdHd8ptEhDGaLowvRDGe7WVJaepgwRQcQWTX70Qx1J1qqE5pSaGMgSMWftzGRNSINa+0gw9Z4FY1JmiAAgRavCn+eOBscBq78rw7ZjtZLuP5LEVNs94R0QUYYoGjD9ULZ7GvQFLCAqawq6C5IgCPkRXKr96Ie8YVmimhjQETH9UKh6RCFDFIYXkVwZIsDV3fdzt1P4fw/5nxEaD4QcEG3atAnDhg3zOwHeaDRi+PDh2L59uySLS0RYQGSigCgqdAyIhhakQq3kUG+y4nxje6CHEgQRQViGKK2bqfG5qa7vcizoiDxjO7qfdO9NcaYrQ1TTYhFdPaiXaGxHVwzOc1WPjO3WbraMXUIOiF544QX86le/8qsNSktLw8KFC/Hcc89JsrhERBjfEQP17kSEdaNku68qk9RKDC1wfdapbEYQsQPrMMvoLiAyuITVsdBpFqopIyNNrxZKg2KyRFa7E8Z2Vq6TtmTGYIEpe554JOSAaP/+/Zg9e3aXf585cyb27NkT1qISGR2VzKIK0xB5X0WNLkwHQI7VBBFLGNuCK5nlxVCGqEHo9Ao9SyN0mokIiNi4EAXnGnMiB+x9SKiAqLq6Gmp11y+oSqVCbW38iqqiTbKWdZlRhigadCyZARCE1XvPNUVhRQRB+CMYUTXgyRDFs4YIAIozmY4odGE1O65lJmuhUAQv5g6FVF0CZoh69+6NgwcPdvn3AwcOoKCgIKxFJTIkqo4u7MCR4xUQjSvOAOAqmZmolEkQMQErmcWnhij0gCic1vsGmfVDAJDGAqK2BAqIrrjiCjzyyCMwmzt/uNrb2/Hoo4/iyiuvlGRxiQgFRNFFyBAZPAeO4iw9ijJ1sDl47DxZH62lEQThhZAh6rbLLIYyRCI1REB4rfdydpgxWEDUYrHD6YzPjtyQA6KHHnoIDQ0NGDRoEJYvX45PPvkE69atw7JlyzB48GA0NDTgj3/8oxxrTQg8xoyUiYgGdS3sSsqTIeI4DpcOygEAbDtO5WCCiAVYN1N3JTOmIappjp2AKJwM0Zm60DNE3iUzuWABEc8DLeb4PH+FPE49Ly8PX3/9Nf7f//t/WLp0qeDNwnEcZs2ahVdeeQV5eXmSLzRRoAxR9OB53jMROsX3wDF1YA7e3XUOW+PYdIwgehKeDFF3JTNXhqjVYofJYhd0mtGgUcQcMwYTVVca22GxO6BVBe90XR+GmDtYNCoFdGol2m0OGNtt3ZYyYxFRn4zi4mJ8/vnnaGxsxIkTJ8DzPAYOHIiMjAyp15dw0OiO6GFst8HmcAX4HVPLk/pnQaXgcLa+DWfrTcLBiSCI6BCshihFq4Jeo0Sb1YGaFgv6RSkgcjp5NLZ5nKpDJTtFI/wf5xvb0T8nJejH1gvNIvIOqE7TqYWAKB4Jy6k6IyMD48ePx0UXXUTBkEQIxowk3o04LK2cmqTqdPVlSFJjrFtcHc/W9ATRE+B5Hk2s7T4IPQ4b8hrN8R0t5u6H0QaC4zjhQuxciK33Qrt/inwlM8BLWJ2IAREhPcla14m43UYZokhTy/RDBv8HDaYj2nqsLmJrIgiiM21Wh5DN7c6YEQByYmB8B2u5T9F2vuAKFtZ6fyZEYTXzVxOTmQoFFhA1xalbdUgBkd1ux1tvvYU333wTNlt8RoCxjk7tSueaLBQQRRp/HkTesIBo58k6WO3OiK2LIBKJmhYz/vjRQfxY1Xk8FIOVyzRKl26lO1iGKJqt9w0mJmwWH5QUZ4ubaebRRsobEMW7F1FIAdEf/vAHZGVlIT09HQ8++KBca0poWIaIuswijz8PIm+GFaQiK1kDk9WBPWcbI7k0gkgY3tl5Fu/tPoe3dpzuchtWLkvTq4OaGs8GvEZzfEeDe9K9GFNGRl+RrfdC272MXWZAgpXMnE4n2traYLfb4XTSFbIcMFF1u80Rt14O8QoLiLry6lAoOFwyMBsAtd8ThFwwR/jm9q4vCo1BdpgxYmF8h2DKGEb3lcetOvgMUbvVITTpyOlDBHi0UQkREJWWlsLhcMBqtWLZsmVyrSmhYaJqngfMdiqbRRJ/HkQdmcr8iEhYTRCS43TywszAtgA6SlYyC1acHAvmjOGM7WAUZ7syRGWNbYJAuztYuUyjUiBF5g47liFqjtOAKKRXR61WY968eXKthQB86uFtVoeQMSLkpzsNEQBcMtAVEP1Q0YzaFosg1iQIInxO1raixd1h2x5ANsA8iNK6calmxML4Dk+GSHxAlJ+aBI1SAavDiYqmdhS5M0aB8JTLNEGVF8MhoUpmBw4cCKlU9sMPP8BuJy1MKCgUnBAUtZGwOqLUBeHVkWPQYnivVADAjhOUJSIIKdnrzg4BgRtLmoJ0qWbEQoaImSNmhlG2Uio4FGXqAADngpxpxjJEcpfLgAQLiMaMGYP6+uBnOU2aNAnnzp0LeVGJjiCstlEwGUlYa2pXbfcMVjbbcZzmmhGElDD9EBDYekSshqjFbEd7lExvpcgQAR7H6mBb7yMlqAbiPyAKqR7D8zwefvhh6PXdp+kAwGqNTy+CaKMTzBkpQxQpeJ7vtsuMMc5t0HjgfJPcyyKIhGKfV4YoUKetMLYjyAxRilYljJWoaTFHxWleCg0R4Bo2DQQvrBbGdkQgQxTvbfchBURTp07F0aNHg95+0qRJ0Ol0IS8q0UlmnWY0viNitFrssLi9hQJpiABgZO80AC69Q7RnIxFET6HNasdRL++hQOOLPCWz4E7yHMchL1WLM/VtqG62RCUgagxjsKs3rPX+TF2wGSJ3yUxmU0bAK0PUlgAB0ZYtW2RaBuGNkCEiL6KIwcplyRql8Pp3RW5qEvJStahutuBwZTPG982MxBIJokdz4LwRTt7VDWW1OwNeEDaGmCECXDqiM/VtqGmJjrC6XqKAqI87QxS0hqg1MmM7AE9A1GJxjSlRKuQVcUsNje6IQZKFAa8UEEUKQVAdZNfYyN7pAFwHcYIgwoeVy8b3dZWk7U6+S0d4j4Yo+OAiR+g0i7yw2uZwosXsOp6HrSHK9AREPN99631dBCbdM1hAxPNAizn+skQUEMUgLENBE+8jR11L9y333owqdJXNDpVTQEQQUrD3nMv9fXL/bOG+ri4KQ+0yA4A8odMs8hmiRrd+SMF5dDZiKczQQ8G5zg+1rd0Hdw2m0I5t4aBReUapxKOOiAKiGCRZQ233kSaYlntvmI6IhNUEIQ2eDFEm1EpXqaWri0KPD1EIJTN3hqgmChmiRhMr8WnCLiNpVAoUpLlb77sRVvM8jyqjKwCMhKgaiG+3agqIYhC9lpXMKCCKFLWt3btUezPCHRCdqjOh1UKlTYIIh0pjO6qbLVAqOIzsnebxYvNzDDTbHEIDREgZIhYQRSFD1OAuW2WEMbbDm77ZbOp94IDoh4pm1LVaoVMrMSjPIMlzd0c8t95TQBSD6NU04DXSBONS7U2OQYteaUngeeAHKpsRRFgw/6HBeQboNErPTEc/ARHLDikVXEijKJg5YzQ0RA0mab2A+mS6Os3OdeNF9MUPVQCAaYNzkKQO3CwiFfHceh9WQLR9+3bMmzcPkyZNQnl5OQDgnXfewY4dOyRZXKJCGaLII2iIQhjFwbJEBykgihjlTe34dH9F0HOciPiAlcvG9EkH4Jnp6O+iUNAP6YKbdM8QMkRRGN/BNEShZLQCIXgRddNpxgKimcPzJHneYEjIDNGaNWswa9Ys6HQ67N27FxaL64TS0tKCZ555RrIFJiJ6aruPOB5TxuDr7ExYTZ1mkeP3/z6Au1ftxbbjNDZFbqqMZnx2oDKoTqZwYYLqC4rSAQB6wa2/6wxRWojBRY47Q9RstsMcwAVbDkzusnpKkjSeZcFMvT9dZ8Kx6laoFBwuG0wBUTCIDoieeuopvPbaa3j99dehVns+mJMnT8b3338vyeISFSaqJmPGyMF8TTJDSGmPLEwHQJ1mkcJid+DbMw0AuheTEuHz+Kc/YNH732PVN2WyPo/N4RSyrGP6uFru9Wp3ltxPYwkLiDJCbF9PTVIhSe065UVaWC0ERBKZuPYR3Kq7LpltcGeHJpZkhRw8hkNCBkRHjx7F1KlTO92fmpqKpqYmUfssLS3F+PHjYTAYkJubizlz5vh1xj5y5AiuvvpqpKWlwWAwYOLEiQFnpq1cuRIcx3W6mc3Rm3wcCJ27fm6igChitIo4YI30ElY3x6HnRrxxqLxZENPWBdFuTITHDxUu1+gPvpV3HuXZehPMNieSNUqUZLu0MboAJTOjV8ksFDiO8xryGtljPzuWM21UuDCn7cY2W5fHng2HqwEAsyJYLgM8AVFzIgVEBQUFOHHiRKf7d+zYgZKSElH73Lp1KxYtWoRdu3Zh48aNsNvtmDlzJkwmTxR88uRJTJkyBUOGDMGWLVuwf/9+PPzww0hKSgq479TUVFRWVvrcuntMtPC03VPJLFKwKzg2WDcYMpM16J3uan+lLJH87DnbIPxMAZG8WO1OnG90ZeEOnDfiSGVzN48QT1ljOwCgKFMPhbslnckG/A14FVsyAzw6okgLqz0ZImmEzSlalWAR4i9bWtNixvfuMuSMYfmSPGewxHOGSHS4unDhQtx777146623wHEcKioqsHPnTtx333145JFHRO1z/fr1Pr+vWLECubm52LNnj5CN+uMf/4grrrgCy5cvF7YLJgDjOA75+ZH9YIiFjBkji9PJC691qHPJRhWmobypHYfKjT6GcoT0fHumUfi5toUGR8vJ+cY2eOvW//VdGR69argsz1XuDogKMzxzLwMdAxtFuFQzPJ1m8Z0hAoA+mXrUtVpxtr5NaPBgbDxcDZ4HRhelIz8tshf+LCBqisN5ZqIzRA888ADmzJmD6dOno7W1FVOnTsUdd9yBhQsXYvHixZIszmh0XXVnZrpmRTmdTnz22WcYNGgQZs2ahdzcXEyYMAEff/xxt/tqbW1FcXExCgsLceWVV2Lv3r1dbmuxWNDc3OxziyTJWhrdEUm8hZvJIR6wRvQmYXUk4Hke352hDFGkOOPWpjCDxI/2lsNil+cC7bwQEOmF+/QBAiKjCJdqRo67i7TeFN8aIsBTNjvb0FlHtOEHV7ls5rDIlsuA+M4QhdV2//TTT6Ourg7ffPMNdu3ahdraWjz55JOSLIzneSxZsgRTpkzBiBEjAAA1NTVobW3Fs88+i9mzZ2PDhg249tprcd1112Hr1q1d7mvIkCFYuXIl1q1bh1WrViEpKQkXX3wxjh8/7nf70tJSpKWlCbeioiJJ/qdgCXQwIKSHlSYVHATRZbCwTjNqvZeXk7UmITMARP6ElmicqXOVYaYPzkV+ahKa2mz48nCNLM9V3uQKiFj5GfBcmLT7a7sXMdiVwYTYDabInqxZQKSXqGQGuDJEAHC2zrdk1my24euTdQCAWcMjXxVJOB8im82G6dOn49ixY9Dr9Rg3bhwuuugipKSkSLawxYsX48CBA1i1apVwn9PpElRec801+O1vf4sLLrgADz74IK688kq89tprXe5r4sSJmDdvHkaPHo1LLrkE//rXvzBo0CC8/PLLfrdfunQpjEajcCsrk7fLoiN6DfkQRZJWQT+kCsnXBPAIq8/WtwkDJwnpYfqhAnf6v45KZrLCMkT9c1Mw98JCAMDq7+Q5Dpa7tUq9/ZTM/DWWiBnbwchMYQFRhDNE7sAu1Ax0IJhbdccM0ZajtbA5eJTkJGNArnTn5GBJuNEdarUahw4dCvnkESx333031q1bh82bN6OwsFC4Pzs7GyqVCsOGDfPZfujQoQG7zDqiUCgwfvz4LjNEWq0WqampPrdIkuzVYREJD5BEx+Ru7RVzsErXa1CU6RZWV1CWSC6Yfohd8bbbHMJVNyE9p+tcJ9m+WXohINp+vBYV7myOlJz3oyHSB7AeaWr3zAULFTZpvjHCGSJmHxCqRjEQHrdq3wwRM2OMRnYI8ASqLWZ73Bmoii6ZLViwAG+++aaUawHP81i8eDHWrl2LTZs2oV+/fj5/12g0GD9+fKdW/GPHjqG4uDik59m3bx8KCgokWbfUsKsjJw+hzZiQD+HqTWQ6e1iBK2A+Vt0i2ZoIX5h+6NLBOcKcK9IRyQcz/OublYy+2cmY0C8TPA/8e895SZ/HYnegxu0S710y02m61lGydm5RGaJkV0AU6ZIry0KzQE8KmFt1ZbNZMJo02xzY/KOrtBntgAgAWuLMjkR0uGq1WvHGG29g48aNGDduHJKTk33+/txzz4W8z0WLFuH999/HJ598AoPBgKoqV6SblpYGnc71Zbn//vtx0003YerUqZg+fTrWr1+PTz/9FFu2bBH2s2DBAvTu3RulpaUAgMcffxwTJ07EwIED0dzcjJdeegn79u3D3/72N5H/vbx4dyK0WR0Rm0GTqJi8SmZiYLoEyljIQ22LBWfq28BxwNg+Gcg2aFDW0I66VosgLCWkw7vlvq/bF+im8UXYfboBH+4pw+LpA4T2+HCpbHJ1e+nUSiFYAbznOXbOELGAKFWE6zN7jsYIl7fZ/yGlqDorWYNkjRImqwPnG9swINeALUdr0WZ1oHe6DqML07rfiQyolQroNUq0WR0wtttEZfKiheh359ChQxg7diwAV4bGG7GltFdffRUAMG3aNJ/7V6xYgVtvvRUAcO211+K1115DaWkp7rnnHgwePBhr1qzBlClThO3PnTsHhcKT/GpqasKdd96JqqoqpKWlYcyYMdi2bRsuuugiUeuUG6WCg1algMXuhMli9zlQENLDdApi6/uB9A5E+DD90OA8A9J0amSnaFHW0E6t9zLBWu51aiVy3V1ZPx1RgEc/+QFlDe1Y9e05/HJC8Bn5wM/lFlRn6HzOG12VzJxOHq3urFFqGBmixjYrHE4eSokCu0DwPC9koaUUVXMchz5ZyThS2Yyz9a6A6PODlQCAn47Il03SEgxpOrUQEMUTogOizZs3S7kOAAhaL3Pbbbfhtttu6/Lv3tkiAHj++efx/PPPh7O0iJOsVcFit/o1JiOkRYwpozeB9A5E+DD90Li+rrEO2SmukzSVzOSBCaqLs/TCSVWnUeKeywfi6c+P4PFPD2NMUQaG9QpfW1ne5BZUe5XLgK4HXLdY7GCnCYOIDBET/PK8S/QbiYvNdptDWLOUGSLApfFiAZHZ5sD/jrja7a8YFV05SJpOjUqjOe4CorDa7gn5YDoJKsPIT7glM30AvQMRPkw/NL6vy4+MOfRSQCQPrOW+X7ZvOfL2Kf1w2ZBcWO1OLHr/e0EXEw7+TBmBrqfdM02KRqWAVhX6BYxaqRA0LpHqNGNNGxznOa5LBZtpdq6hDduO1cJkdaAgLQkXuOcsRot4bb0XHa4+8cQTAf8u1q2acMGyFdR6Lz/sgCXWRZZ8o+SjzWoXZmqNEwIiyhDJCcsQ9e0QECkUHP5yw2hc8dJ2nK4z4Q9rD+LFn18QVmnGu2Tmja4LDVGL2V0uSxI/rDQzWQNjuy1iXkTCBZcmdFuP7ih2d5qdrTcJwcdPRxRIpvESS7y6VYsOiD766COf3202G06fPg2VSoX+/ftTQBQm5EUUOdhVqNg5QxQQyce+sibYnTwK0pKEsooQEJGGSBa8W+47kpGswV9/MQY3/n0X1u2vwJg+6bhlUl/RJ+DzfkwZga7L0OEIqhmZyRqcrjNFLkNklb7DjME6zY7XtAo+aFeMjP6Iqnh1qxb9qfI3+qK5uRm33norrr322rAWRXSdMiakpzXMklmgFmEiPPYI+qFM4T7KEMmLd8u9Py4szsT9swbj2f/+iMc/PYw3tp/G1Rf0wpwLemNwviGk5yr3M7YD8LogtDnA87yQWWEZIoMIQTUj0m7VLAMttX4I8LhVs0xbXqoWY/tkSP48oRKvE+8l1RClpqbiiSeewMMPPyzlbhMSyhBFDu+UthiSSVQtGyxbMbTAc6JlGqJ6E2WIpMZfy70/7rykBAunliBFq0J5Uzte3XISs17Yhkc+ORT0c9kdTlS5h6x21BCxzk2Hk4fV4fFiazaHnyHKSo6sW7UcHWaMXuk6Yd4cEBvlMiB+M0SSi6qbmpqEoayEeFiGiETV8mMSOemeQW338sGufIu8MgjZBlYyowyR1LCWe73G03LvD4WCw9IrhuK7h36Cv/1iLC4fkgvAZdxodwRnJlvVbIbDyUOjVCAnxfe5vMtL3hcaQoYojIAoIznSGSJWMpM+Q6RUcD7fjStGxobZcLyO7xD9Dr300ks+v/M8j8rKSrzzzjuYPXt22AtLdJiomrIO8hN+2z0bREnvldSUubMV3hkEVjJrsdhhtpFxqZR4Wu6TgxIAJ6mV+NmoAvx0RD4ueGIDms0uEfzoovRuH8uC3V7pSZ2yGmqlAhqlAlaHEyarA+nuc36LkCESXzKLdIaoTcaSGeDqNDtVZ0KOQYsLi6NfLgPiN0Mk+h3q6OujUCiQk5ODW265BUuXLg17YYmOTu16ayjrID/hGjMmk95LFqx275KK5yo4NUklnCzrWi2d9CeEeE7XMf1QaK+pQsHhon6Z+PJIDb453RBUQFTeRYcZQ6dRwtru9Jl43yxlhihCHVByjO3wZnCey6H6ZyMLImI0GQwJ13a/ZcsWFBUV+ThCA65MUVlZGQyG0MR1hC+eDBGdZOVGSGmLzBBRyUweKo3t4HkgSa0QdEOAy6E3O0WDCqMZda1WCogk5GwXLffBMKFfFr48UoPdpxvwq6kl3W5f7u4wK0z3//7pNUoY220+Osq4zBAJXazyZIh+fWl/5Kcl4YZxRbLsXwzxmiESrSEqKSlBXV1dp/sbGho6DWUlQodOspGjzRLeAYuVzKx2Z9xNd45lznt1IHUs32SlkI5IDgK13HfHRf1cnYDfnmmAM4jvARNvB8oQAb6NJc3t0mWIIjXxvjVMn7PuyEjW4P8u7idbwCWGhAuIuhqz0draiqSkJNELIlwkUyt3xGgNU/TonQqn90s6yho664cY5FYtD9213AdieK9UIatztLql2+3Lu/AgYvjzImJdZgYJMkSRmngfrs9ZPMICohazPa4uEkM+AyxZsgSAK239yCOPQK/3XEk4HA7s3r0bF1xwgWQLTFT8XR0R0sPzfNiTqLUqBRQc4ORdB+9wDtaEh/NdjHUAyItIDrxb7juO7QgGlVKBC4szsP14Hb453YChBYFnnXU1toPhz3pEcKoOx4fIHRCZbU60Wx3CsVYuhAuuGMrgyE2a1/vT3G4TXvNYJ+R3iBky8jyPgwcPQqPx/KMajQajR4/GfffdJ90KExQhQ2ShgEhOLHYn7O4rGLFdZhzHQa9RodVipxKnhJwXOsw6l2+E1vtW8iKSijKvlvucAC33gZjQL1MIiG6Z3LfL7ZxOHhVNLsF8VyUzwXrER1TNMkTig4tkjRIalQJWuxP1JgsKNfJq0NgxXKytRzyiViqg1yiFifc9NiBiU+7/7//+Dy+++CJSU8OfeEx0hgl822xUgpETb5+ncGr8Oo0SrRY7lcwkpMyPBxGDZYhqKUMkGWdDbLn3x0X9sgAAu083+DhMd6S21QKrwwmlgkN+qn+Jhb+SmRQ+RBzHIVOvQVWzGY0mGwpl7lRnAV2yzJmoWCNNpxYConhB9KdqxYoVAIDDhw/j3LlzsFp9r9Suvvrq8FaW4OjZcEPKEMkKS8fr1MqwWlaTNUrUgryIpOS8Hw8ihqAhIlG1ZIhtufdmdFEaNCoF6lotOFVnQv+cFL/bsXJofmoSVEr/UlZmPeIrqg6/ywxwzTOrajZHREdkCnM0ULySplOj0mhOjIDo9OnTmDNnDg4ePAiO4wSRNbsicDjoxBAO7MtDGiJ5aQ3TlJHB5plRyUwaLHYHqptdJyt/ARFzNqbxHdJxpk58yz1Dq1JiTFE6dp9uwDenGwIERIE7zADvDJHrO2q1O2Gxu1ywpQiIAKCxTf7PD5tlJtbnLF6JRy8i0V1m99xzD/r164fq6mro9Xr88MMP2LZtG8aNG4ctW7ZIuMTEROenfk5IDytxhXv11vHgTYQH05fo1Erh5OWNR0NEGSKpYC7V/UR0mHkzwd1+/83phi63ETyIggiI2EUh8yACgJQwSmaAJyCqj4AGTSiZJVCXGQBkuMd3NEUg6JQK0QHRzp078cQTTyAnJwcKhQIKhQJTpkxBaWkp7rnnHinXmJAke42D6MrigAgfqTxCOh68ifBgLfdFmTq/OhSmIWpqs8EW5OwsIjCnat0BUU54ARHTEQUMiFiHWRct94DvxHvA41KdolWF7cgcyQxRW5izEuMVz2ucABkih8OBlBRXOjQ7OxsVFRUAgOLiYhw9elSa1SUwLENk7zDtmZAWjyljeFdvejLSlBRvU0Z/pOvUwkkxElf5PR2zzYEKo+s1F+NB5M3Y4nSoFBzKm9qF0lhHunt/Aa+LDPd3tEWCDjNGpuBWLf9nR+7RHbFKhj5yr7FUiA6IRowYgQMHDgAAJkyYgOXLl+Orr77CE088gZKS7m3bicD4mP2RsFo2WiUSPHoGvFLJTAoCCaoB1+wsdlKjsln4lDW0gedd2RfvMSli0GtUGNE7DQCw+1TnLJHTyeNwZTMAoDiAgLujFxtzqQ5XPwR4T7yX92RtczhhdeueYslJOhJEMgsnFaIDooceeghOp+uNfuqpp3D27Flccskl+Pzzz/HSSy9JtsBEhU17BjwpY0J6hA6QMEtmZKQpLYFMGRnUei8dp9yC6n7Z4lvuvWE6oq9Odh7v9ENFM2pbLEjWKDGmT9c974Iuz+arIZIiQ5QVoYDI+2JWrtEdsUo8ZohEv0OzZs0Sfi4pKcHhw4fR0NCAjIwMSb5QhMuLyNrmFFLGhPQIk+7DLJklU0AkKWUBTBkZ1HovHVJ0mHkzbXAu/r7tFP53pAY2hxNqr9b6//1YDQC4ZGAONKqur8k7i6rDd6lmROpkzQTVGqUi4P/aE0mYDJHNZsP06dNx7Ngxn/szMzMpGJKQZGrllh1TmHPMGDqaPScp5wOYMjJyUsitWiqEDjOJAqKL+mUiK1kDY7utU9ls8481AIDLhuQG3Ieuw+gOKVyqGVkpEQqIhLEdiaUfAiI/RFcKRAVEarUahw4douBHZjqKCgnpCXeOGYO6zKTDbHOgtqVrDyIGtd5Lh9Bhli3NGAulgsPM4XkAgP8eqhTur2kxY/95IwBg2pCcgPtI7mBl0SyBSzWDZYia2m2yDh8VMtAJVi4DgMw4LJmJzuEtWLAAb775ppRrITrAhL6tFBDJRqtEV3DJfsYMEOJgHjXJGiXS9V2XR2jivXSwDFG4HWbezBqeDwD44odqIejYcrQWADCqMA25Bv8jOxi6Dp2bUrlUAx6PHJ6X1yfHJJHxazySkex6jdttjrg5LooOW61WK9544w1s3LgR48aNQ3Ky7xfpueeeC3txiQ7LWiSKOWOjyYorXtqOKQOy8acbRkfkOVmJK9wMETlVB8/5xja0WuwYku9/DiLzICrM0AfMQtPEe2kwWeyCK7hUJTMAmNw/G4YkFepaLdhzthEX9cvEpiPBlcsA785NXw2RQYKASKVUIE2nhrHdhsY2K7JSxA2z7Y5EHdsBuI6paiUHm4NHY5sVOk3X2d5YQXSG6NChQxg7dixSU1Nx7Ngx7N27V7jt27dPwiUmLuyqojVB2u73nG1EpdGMtXvLBb2A3EhtzBhPbfc1zWaYI9zBaLE7cP2rX+Pqv36Fmhaz320E/VBm4AMoC4jIhyg8WHYoQ69Gul66qeQalQIzhnrKZla7E9uPuzJEwQVErAxtB8/zQpdZqk6a4CIrAm7VnsGuiRcQcRwXd51mot8lNvWekA92VWFKkJIZ855xOHl8faIes0fky/6cUhszxouGqKbZjCnLN6MgLQn//vVk5BjkuULuyJeHa4RsxNGqFr9lk2BM+wDKEEnFGTbUVcLsEGP2iHys3VuOLw5V4bIhuTBZHcgxaDGiV1q3j2UlMycPWOxOL1F1+BkiwC36rTPJ2gUlzDFLwJIZ4Oo0q2mxxE2nWWL1AcYZKQkXELULP29zX0nKjdTGjPESEP1Q2Qyr3Ymz9W2445/fRazGv/q7MuHncw1duRgHNmVkZHt1CskpjO3pSN1h5s3UQTnQa5SoMJrx4pfHAQDTB+dAEcToDb3aE0S0Wx1eJTNpsi3CPDMZsxdS+ZzFK/GWIQorINq+fTvmzZuHSZMmoby8HADwzjvvYMeOHZIsLtFJNFG1T0B0rDYiM9xYSlu6WWbx8V5VNnnKVfvLmnDPB3tlDyrKm9qFkgkAnKv3HxCVBWHKCLhOaBznyiDEywE3FhE6zCQUVDOS1EpMd5fHvjvbCAC4bEheUI9VeXn3tNkcQoZIClE14OmCapQzIErQOWaMSI5IkQLRAdGaNWswa9Ys6HQ67N27FxaLK23d0tKCZ555RrIFJjIJlyFq8pwgzze240wXJ0wpYU6y4Yuq46tkVumeW3VBUTo0KgU2Hq7Gk/85LOtzrtlzHt4x7tku3t/yIEwZAdcJk12BdqVHIrpH6DCTIUMEAD/1Kn2rlRymDMwO+rHe1iOCMaNUGaKUyGWIEtGHCPAyZ+zpAdFTTz2F1157Da+//jrUak/EPnnyZHz//feSLC7REQaGBimqtjucEcmqyAXLEDE9y7Zj8pfNpBq8mOxVMouH96DCnSGaMSwPz994AQBg5ddn8O6us7I8n9PJ41/uctlVo3sBAM76KZm1Wx2C0WIgU0ZGUaZrG6aDIULnTJ18JTMAmD44F1p3pmdiSVZIFx+sbNbmVTKTwqkaiEyGqC2BRdWA18y4nq4hOnr0KKZOndrp/tTUVDQ1NYWzJsJNcght918ersbAh/6Ld3efk3tZstBqsaOpzZUSv3FcIQD5AyK7wwmLRIMXWYbI4eRhdTjDXpvcsAxRQVoSfjaqAPfPGgwAWPHVaVmeb+epepxvbIchSYWFU13Dn8/VmzoFj+XuLKFBqwqqm2hgbgoA4ERNq8QrTgyM7TYhQyJXhihZq8JP3N1mzJsoWNj3qt5kEUq68aQharUkeMnM7fcUL27VogOigoICnDhxotP9O3bsoGn3EhFKyeyvm0+A54EVO07HRYaiI+Xu7FC6Xo2fjigA4DqJsknRcuDtGRRuSts7wxQPJmSVRleGqCDNpdP55YQ+4DjgZK0JNc3Sl59Wf+vKDl09uhcG5KaA41yvf8eTUVmD63PQO0MXlBP+ABYQ1VJAJAaWHcoxaGWdxv7UnBF45Zdj8YuL+oT0OKbtqzK6JBlKBQedWpryUyRmbbUJourELJllJIqGaOHChbj33nuxe/ducByHiooKvPfee7jvvvtw1113SbnGhMUjqg58gj1S2Yx9ZU0AXFOrj1S2yL00yWGdRb3TdRhWkIrsFA3arA7scQsx5YCls9VKDlpVeAcstVIBjXuAZaybM/I8jwq3G3SvdFfbe7peg6Fuo8Rdpxu6fKwYjG02rP+hCgBw0/giJKmVyE91PW9HHdHxGtdnN9jyzYAcV0B0vDr+PvOxwGmZy2WMjGQNrhhZEFR3mTcsQ1TtDtJTk1SSjYwSBL8y+hBJ1cUar8TbgFfRAdEDDzyAOXPmYPr06WhtbcXUqVNxxx13YOHChVi8eLGofZaWlmL8+PEwGAzIzc3FnDlzcPTo0U7bHTlyBFdffTXS0tJgMBgwceJEnDsXuFS0Zs0aDBs2DFqtFsOGDcNHH30kao2RhHnjdJch+uAb3//984OVXWwZu5z36ixSKDhcMtA150jO9nupBrsydHFizthgsgqlwvw0jw/QpP5ZAIBdp+olfb51+8thtTsxJN+Akb1d/jN93Nqfcw0mn21ZMD+0wL+LdUdYhuhUnYla70UgBEQydJhJQXKHgEgqDyLAKyCSM0NkTWwfooRqu3/66adRV1eHb775Brt27UJtbS2efPJJ0fvbunUrFi1ahF27dmHjxo2w2+2YOXMmTCbPQfPkyZOYMmUKhgwZgi1btmD//v14+OGHkZTU9VycnTt34qabbsL8+fOxf/9+zJ8/HzfeeCN2794teq2RIBhjxnarA2v3uiwPbrjQpb357GBl3JXNznfoLLrE3YmyXcaAqFWiDjNGvJgzsnJZdorGJzM2sUSegIhl+X42skC4ui/OcgdE9e0+2x6pbAYADAsyICrK1EOjUsBqdwqfISJ45O4wCxehZMYyRBK5VAOegMhsc8pml5HITtWAb4YoHs5JYb9Ler0eF154IQCEncpcv369z+8rVqxAbm4u9uzZIwi4//jHP+KKK67A8uXLhe260yy98MILmDFjBpYuXQoAWLp0KbZu3YoXXngBq1atCmvNcsK+RIF8iD47WIkWsx1FmTo8ctUwrNtfgdN1JhyubMbwINxgYwU20JN5z7AM0aHyZtS1WgRXYilpk3jwYrwERJ5yma/Pz0V9M8FxLl+ammYzclMDD98MFqYTKvB6vmJ3RuKsV4bIYncI4uihvYILiJQKDiXZyfixqgUnalqF/RLBEamSmVg8JTOXhsiglS5DpNcohWC6wWSVLFPsTSLPMgM8GSKbg0erxS5phk8OwsoQvfnmmxgxYgSSkpKQlJSEESNG4I033pBqbTAajQCAzMxMAIDT6cRnn32GQYMGYdasWcjNzcWECRPw8ccfB9zPzp07MXPmTJ/7Zs2aha+//trv9haLBc3NzT63aMAyFxa7E/YuOpdWuctlPx/fB4YkNaYPdpmgxVvZrOO4hhyDVsgS7DheJ8tztkpcMvO4Vcd2ycwjqPYNeNL0auE13ylhloily9nsKMDTLu9tzni8uhV2J4/UJBV6pQUfjLGy2XHqNAsJnudjPiDSdyqZSRdYcBwnfCblKum0JXiXmU6jFETw8dBpJjogevjhh3HvvffiqquuwocffogPP/wQV111FX7729/ioYceCnthPM9jyZIlmDJlCkaMGAEAqKmpQWtrK5599lnMnj0bGzZswLXXXovrrrsOW7du7XJfVVVVyMvzdUfNy8tDVVWV3+1LS0uRlpYm3IqKisL+f8Tg/SXy50V0rLoFe842QqnghHLZFaNcHVqfHYivshkLiHp7ZREuGeQqm8mlI2KZHKlKZvFizlghtNx3doL2lM2kE1Yzn5cMr4Co2B0QeXsRCeWyXqkhZZsHUOu9KBpMVsHbh5UwYw32nWIBi1QeRAyWwZCj9Z7nea+SWWJqiIDIaLWkQnRA9Oqrr+L1119HaWkprr76alx99dUoLS3FP/7xD7z22mthL2zx4sU4cOCAT0nL6XRlSa655hr89re/xQUXXIAHH3wQV155ZbfP2fEAy/N8lwfdpUuXwmg0CreysjK/28mNRuXpXGr1k3Vg2aGfDM0VyhuXD3GZoJ2pb8MPFdHJbIWKyWIXDni9vcY1sJPzfncHndRIZcrIiJeSGRvbwTrMvJnkfs13S5Qh4nleONl4Z4jYCbi2xSJk1A67A6JgBdWMgbkGABQQhQrLDvVO1yFJolZ2qdGrfS9WpMwQAUBWinydZmabE0znn6gZIgDISGZeRD04IHI4HBg3blyn+y+88ELY7eGVDO6++26sW7cOmzdvRmFhoXB/dnY2VCoVhg0b5rP90KFDA3aZ5efnd8oG1dTUdMoaMbRaLVJTU31u0SK5i04zs82Btd+7xNQ3e3l7JGtVuGxIfJXNmH4oNUmFNK8rwOFuHcmpOpMsZSi2T6kyRIJbdYyPWqkMkCEa38+tI6ozCWWKcGi3OYSONu8MUbpeI4xgYENeQxVUM1iG6GRNa1xlRaMNK5327mZmXDTpqO+TWoOSJZgzWiTdL+Cr/ZTKOykeiadOM9EB0bx58/Dqq692uv8f//gHfvnLX4raJ8/zWLx4MdauXYtNmzahX79+Pn/XaDQYP358p1b8Y8eOobi4uMv9Tpo0CRs3bvS5b8OGDZg8ebKodUaSrga8fnemEcZ2G/JTkwQBMuOKke6yWZx0m3XsMGPkGpKQY9CC54Efq6T3mWFdZlLNGRJKZrbYzhBVBMgQpenUQiAqRbdZvfvKW6NSdCobCMLq+jbwPB9yyz2jb7YeCg5osdhR0yL9ia2nYmx3aTrSJS5DSYmuw2dGqjlmjCx3s4YcJbM2r3JZqP5LPYl48iIK69P15ptvYsOGDZg4cSIAYNeuXSgrK8OCBQuwZMkSYbvnnnsuqP0tWrQI77//Pj755BMYDAYhq5OWlgadznUVc//99+Omm27C1KlTMX36dKxfvx6ffvoptmzZIuxnwYIF6N27N0pLSwEA9957L6ZOnYply5bhmmuuwSeffIIvv/wSO3bsCOffjwgse9HWQUPErmhKcpKh7PBlu2xILpLUCpx1l81G9I7tbrPyANPNhxWkYmtLLX6oaMbYPhmSPm+bxB0gesGHKHYDIoeTFzI//jJEADCxXxYOlTdj16kGXHNB77Cez1tQ3bFE3SdLj4PlRpyrb0OF0Qxjuw0qBYeBeSkhPYdWpURxVjJO15lwvLoVeRJ1x/V0WECUFsMBUcdytlST7hnC+A4ZSmZCST6By2VAgmSIDh06hLFjxyInJwcnT57EyZMnkZOTg7Fjx+LQoUPYu3cv9u7di3379gW9z1dffRVGoxHTpk1DQUGBcFu9erWwzbXXXovXXnsNy5cvx8iRI/HGG29gzZo1mDJlirDNuXPnUFnpKRdNnjwZH3zwAVasWIFRo0Zh5cqVWL16NSZMmCD2348YXWWIAh3MkrUqXNzfJUiW0+lZKjp2mHnDshWHK4ySP6/UHiGsyyzYYbzRoK7VAruTh4IDcg3+rQyk9CNiQkp2UPSmWDBnbMMRt95tQG6KKNdwj7CaHKuDpTkOAiJdBw2RlD5EgMuLC5DnZC2YMiawoBpIkAzR5s2bpVwHAARd3rnttttw2223dfl372wRY+7cuZg7d67YpUUNz8R734CIDUJN1/s/mDGPmfrW2C8hCB1mfjJEzEvpsAwCcakHLwoZIlvsaoiYB1FeahJUSv/XQ+P7ZULBuUS3VUazj5t1qDCxKhOvetPHq9PsiEhBNWNAbgo2Hq6mmWYhwC6qpO7ckpKOGSKpNUSZyfKVzBJ9bAcjnuaZhfVOmc1mHDhwADU1NUIHGODq6LrqqqvCXhzhNeDV6j9D1NXBjJ2A6uLgQ+jREPkpmbkzRD9WtcDucHZ5EhcDK5mlJJAxY1ceRN64dERpOFhuxO7T9WGVzRoDZIj6CG7VJuEqemiBQdTzsJlm1GkWPPFYMpOry0yOC0fBgyhBXaoZme7vfjz4EIl+p9avX4/58+ejvr5zWp3jODgcsXtSiCe6KpkJGSJd5xMN4CUWjKMMkb+AqDhTjxStCq0WO07WmjA4X9wJ0x9yGTPGcsmMZYgK0gN3Fl3ULxMHy434/mxjWAERu/LOTPZTMnOLqs83tsPhzg4PKxCndyMvotCJj4CoQ8lMpi4zObIXJomd8OOVhPAhWrx4MW688UZUVlbC6XT63CgYko6ULuaZdXcwy5ZRLCgl7VaHcNL0pyFSKDgha3C4UlodkdTGjPFQMmMZou6coIe4A89w3Z8b/XgQMfJTk6BRKmB38ihrcAVqYjNE/d0BUV2rFU1xcOCNBeIjIJI7Q+S6cGyzOiRvhmBZ/UQXVWfGUclMdEBUU1ODJUuWdOnlQ0iDx4fI98tqbHd9uLrSEMnZTiol5U2ucpmhgweRN0xH9EO5tDoik8TGjPHgVB3Ig8gbqTIu9X5cqhlKBYfCTM868lK1wuc2VFK0nnEflCUKDtIQuQTPGpXrNCi1FxE7vqQkeMmMGTM2tVnhcMa2DYzogGju3Ll+xcuEtHRfMutGQxTjJbMyPyM7OsKM+qR23ha6zBKo7T6QB5E3LONS02IRTpxi8DfHzBvWaQaIF1Qz+lPZLCTiIUPk7UOUpFYIwYtUeM8zkzqbbrJK63MWrzD9oJP3dDbGKqLPBH/9619xww03YPv27Rg5ciTUat8v1T333BP24ojuS2ZdXd1lu7snWsx2WOwOUa3MkSBQyz2DCat/qDAGHLkSKibJu8z8C+BjiWAzRKlJauSnJqGq2YwTNa24sFicB5S/OWbeuHRErll14QZEA3JTsP14HQVEQeBw8sIcs1gOiLw1RHJNSs9K0aDSaJa8pCNkiBK8ZKZWKmBIUqHFbEdDm7XLY0EsIPqdev/99/HFF19Ap9Nhy5YtPicpjuMoIJII1qHQKUPUHrjtPlWngkrBwe7k0WCydnsCjBaBOswYg/IMUCs5NJvtKG9qDxg8BYvP4EWJu8xiNUNkczgFJ+eCbjJEgCvAqGo242QYAZG/OWbe9PHKEIU6sqMjNPU+eFrMniv1WA6IlAoOGpUCVrtTcpdqBmu9lzqbzi64pGraiGcykzVoMdtdF0g53W8fLUTnHx966CE88cQTMBqNOHPmDE6fPi3cTp06JeUaE5pkPxkis80Bq3s+VFcHM47jvFpKY1dHFMilmqFRKTDAPcBTqrJZu80BZnslnTFjbGuIqpvN4HlAreSEDGIgPAGGOLNDu8MpZDL9dZkBvgFRuBkiGvIaPOx90amVkpehpIZZMsiVIcqWSfTrmZUYm9n5SBIvbtWivwlWqxU33XQTFIrY/jLFO8LoDq+TLNMPKRVcwHRslkxXPlISTMkM8DhWSxUQsYwbx0k57d7zXjljUDzIOszy05KCmq0UrrC60f055TjXMFd/MN1PskaJftnJop6HwR5f3tQOm8PZzdaJTTzohxjseyWX+FsY3yHxyVpqW494Jl7cqkVHM7fccovPSA1CHlg5x7tk5n0wC6SniYcMUSAPIm88IzykCYi8TdOk0iR5B1Zme+xliQQPoiDLpwPDLEGxq8F0nbrTvD1Gv+xkPHnNcLx085gutwmWzGQN2C4aY/xKNNrEU0CkEzJE8gQWHs82qTNETKNIGSJPhqiHiqodDgeWL1+OL774AqNGjeokqg52oCsRGH+iauaz0t2U6myh9T42M0TtVoeQveouIGL6EqlmmrVK3HIPuMoPjDarI+auDIP1IGKwDFF5UzvarPaQ/5+GbgTVjPmT+oa0365QKjhk6DWoN1lRb7Iil4a8dkk8BUTsOyqXhkjoMpOp7T7RR3cAQKa79T7WM0Si36mDBw9izJgxAFyDXr2R6oqb8NYQeTIOwfqHyNVOKhVMUB3Ig4jBOs0qjGY0msLvVJDalBFwmUjq1Eq02xyuDFRoQ9tlpzJIl2pGVooWmckaNJisOFVrwojeoblId9dyLwdZKe6AKEY/87FCPHgQMdiFhtQu1YwsmQa8CsaMMXZhFA3iZZ5ZTA13JTrDAiKrwwmr3QmNStFthxmDpYLrYvTkcLbeFRD1ydR3G0QbktQoztLjbH0bDlc24+IB2WE9t2DKKHE6W69xB0Qx6FZdEWKGCHDNCPvG1IATNa2hB0RtXY/tkItMma72exrxmCGSq2SWKZcPkUX6i654xTPPLDbPRQxSRMc4yV4lHXYSN3ZjysgQNEQxenI41+AKiIqzgmujZzqiQ+Xhl82ElnuJr95i2a06WA8ibwbkiRdWs0n3kQyI5NKDhEpFUztqWsxRXUMgmttj34OIke8O4OWyDslK9kgLeF66ZgipnfDjmYw4mWcWVkC0fft2zJs3D5MmTUJ5eTkA4J133sGOHTskWRwBqJQKaN1tsUz3EuzVXXaMi6pZQFSUGVxANKbI5YXz9cnOA4VDRa76fix7EVW6XaqD8SBisCnyYlrvG6OQIcqOgQxRm9WOn764HVe9vENovY414ilDtGTGYLz48wtw5egCWfbPLhzNNqdkFzJ2hxMWtzUKZYi8usx6aoZozZo1mDVrFnQ6Hfbu3QuLxXUAamlpwTPPPCPZAgkvYbX74NrknmOW1kUrM0O48onRtvuyBk/JLBimDnI5eu0+XQ+zLbwDV6vELtUMz8T72DoR1rZYAg7R7YqBYWSIhDlm3XxOpYSZ7EVTq1DR1A5juw3VzRZ8tLc8ausIRLMQEMX+yTrHoMU1F/SWzW1fr1EKF51SfW5MXoFVoo/uABLAh+ipp57Ca6+9htdff92nw2zy5Mn4/vvvJVkc4aKjOaMxyHS3MM/MZJU0FSwVZ0MMiAblpSAvVQuzzYk9ZxvDeu42izymaZ6J97GVIfr6ZB0AV7deKFkB1ml2pr5NMAMNlgZ3loZ9DiOBZ4Zf9A683q3Fb399Jia/e0KGqBsdYiLAcZzQkSuVZxs7VquVXMyOTYokLEPUbLbHtEeY6IDo6NGjmDp1aqf7U1NT0dTUFM6aiA54Bry6TrLBtt2zDJHV7uw0+iPaOJ28kCEqzgzOkI/jOFwy0JUl2nasNqznb5WpAyRW3aq/OuEKiKYMDE2Mnp+ahBStCg4nj7P1ppAeywKDSGaIsmKgm6XBq1x3rLoVOyUo8UpNPJXMIkGmxJ+bNuow88Hlmef6mRkLxyKiA6KCggKcOHGi0/07duxASUlJWIsifGFZDHbV0RzkwUynUQqi7FjTEdW2WmCxO6FUcCFpWi5xn9C3Ha8L6/nZYEup6/uxWDLjeR5fnXCdlCf3zwrpsRzHCW7SoRo0ChmiIMaESIVHVB29MnFH87mVX5+JzkICQAGRL54GFGmOk63UYeYD8wgDYrfJBwgjIFq4cCHuvfde7N69GxzHoaKiAu+99x7uu+8+3HXXXVKuMeHpWDILtu0e8DpBxFjtlgmqe6UnQa0M/mN4ycAccBxwpLI5rC6eancLep7E5n2xKKo+W9+G8qZ2qJUcLuqXGfLjB4oY4cHzPBrdgUFmBEtmco1hCAUmJh/bJx0A8OWRaiEbGitQQOSL1K33LIsfDz5PkSLX4DoX1TT3wIDogQcewJw5czB9+nS0trZi6tSpuOOOO7Bw4UIsXrxYyjUmPJ0CorbgD2ae8R2x9SH09iAKhcxkDUb0cvnh7AgjS8RcmwtC8OQJBqHtPoY0RF+59UNj+mSISuGLmSLfarHD6tYKZEawZMY6K1vMdliiND6FnVTH98vElAHZcPLAu7vORmUt/nA6eTSb48eYMRIwDVGDRNkLFnB2J2tIJJhzfHVz7NpRhBwQ3XbbbWhpcbXgPv3006irq8M333yDXbt2oba2Fk8++aTki0x0UlgZxj00lB3MghFEejw2YjND1CdI/ZA3Uwe5y2Zh6Iiqmj2DTqWE+Rq1xVDJTNAPiTSzFJMhYloMnVopBImRIDVJDZV7oFljlOYmCXYDeg1umdwXAPDBt2UxkzVssdjBdN6UIXIhfYbIrZ9LpteXkccyRC2xdXHuTcgB0dtvv4329nbhd71ej3HjxuGiiy5CSkqMzSroIXhE1Xa0mEM7mGXHaIYo1JZ7b5iweseJOlFT5c02h3DCli1DFCMnP6eTF3ybLh4Qmn6IwTJEJ2tb4Qjy9WavbyQ9iADX+BRmAidVx1Co1Hv975cNyUVRpg7Gdhs+3hcbLfhMg5ikVlAHlJssiUutLChO00X28x/LMHlClbEHZYhisYW0p+MtqmapWJ1aGdTBLDM5+m3I/jgXRkA0tk8GkjVK1LVacbiyOeTHs5Rtkloh+RWyPsZKZocrm9HUZkOyRolRhemi9lGYoYdWpYDV7hTmz3VHtAIiQPqTW6g0ev3vSgWHBRP7AkDMeBKRfqgzUrv6swxRMDrPRCEvrQeWzAAa3hppvDNEzJQx2C9arIqqmYYo2LEd3mhUCkxyd0ttF6Ej8uiHdJJ/loWAKEZKZqxcNrEkKyTxujdKBYcSt2P1sergymZRDYiEYZ3RyRB1/N/Hu4XssSKsFga7yjQsNR4RDD0lunBkr3EGBUQCrGRW3ZNKZgAwaNAgZGZmBrwR0uEtqg716i4WS2ZtVrtQzgh2bEdHmGu1GB0RS9nmS9xhBnja7mOlZLbDHRBNDnMY7gj3HLl9ZcEZYkY3QxTdeWYd/3f2OatpsQRdcpQTyhB1hmUVpTKx9XjFUcmMwUpm1TFcMhNlkvD4448jLS20ydeEeJKFkpkjpA4zIPonB3+UNbg0aGk6teiDMtMRfXe2AW1We0jdU3J1mAGx5VRtsTvw7ZkGAOIF1YxxfTPw4Z7z+PZMkAFRFOaYMaLZet9udQjvPdMy5Ri0UCo4OJw86lotkls9hAoFRJ1hWUWr3QmT1RG2f1BjGzmBd4Q1sNS2ui4MlIrYqzSJetd//vOfIzc3V+q1EF3AOpdcJbMQA6IYnHgfjn6I0TdLj6JMHcoa2vHtmUZc6s4YBUOVe+q71B1mQGyJqr8/2wSzzYnsFC0G5YXX8HBhsSvru7+sCVa7ExpV4ORyNCbdM6KZFWWBoFrJweA+qSoVHHINWlQazag0mikgikH0GhV0aiXabQ7Ut1rCDoio7b4zWckaKDjA4eRR32oR2vBjiZBLZqQfijwpXiWz5hBMGQFvPYU1JtL1AIQREH1E6IcYHMdhZG9XlvJ4dWiT2OXMEMVS2z2bX3bxgKywv7f9c5KRoVfDYnfihwpjt9tHV0MUvQGvjV4Dbb1f81jqsBE0RHSy9kHKzCIrmWVE4fMfq6iUCsHvqTpGzRmpyywO8NYQNQntnMEdzJgpnpP3fEmjTTgt996UZLuyHqfrQpux5fEg0oX1/P6IpS6z3add5bJQx3X4g+M4XFicAQBBDdaNhZJZNDoruwoEWfDNspPRhDJE/vFkFsP73DidPGWIuiA/xjvNQg6InE4nlcsijBAQWR2eL1qQ7r8qpULodIiVTjMpSmYA0C/bZeoYakAkZ4Yolkpmde5ujr5ZoZtf+oOVzb4LQkcUzQxRdhTLxF393+xEUBkDJwIKiPzjGfAa3uemxWwHS8ZTFs6XXIP7wiAGvgf+ED26g4gcKT4ZotAPZqyEEC2juo5IFhDlhB4QWe1O4XWQQ0PESmZWuxN29+iKaCH1eIZxfV0Zou/ONnabKY5mQCR1C3UodBkQxVCHTbDDoRMNz3EyvM8Ns0bRqZVIUpPxpTd5qWyeWfS/B/6ggCgOYF1mdicv2J6HFBBJbEsfDk4nj7JGV9kg/JKZKyCqNJrRZg1Os1PTYgbPAxqlQpYZW95jKqJdNmtud70mUgVEI3unQaNUoK7VIgS1/rDanWgxu547knPMGEw3Z7I6YI7we9BthigGAiLKEPknK9mjtwwHYWwHdZh1Qrgw6CkaIiLyJHu1lJc3uYKJUBxQmZAtFryIqlvMsNqdUCm4sEtW6XqNcNA5Uxec6R0TtealaaGQoe1Tq1KA7Taas6vMNocwXDU1KbyOGUaSWomRhS4he6CyGdOqKRVcVE66Bq0KaqXrTYh0mZhppzL0HTVELr1aLGgnhICITtg+SDUIW+gEjsLFQKwjNBfEwPfAH6ICIpvNhunTp+PYsWNSr4fwg0LBCWLdWjEZohTpuifC5Zzbobp3hg4qkc7J3oSqIxL0Q6nSC6oBl/iYeSKZothpxsplHOcbUIfLuGJP2awr6oVOK7UsQWd3cBzn5b8V2YsA1mXGvnMMdmVcaTRHvTGFMkT+yZRoELbHlJFe347kprIusx4UEKnVahw6dEjyFvzS0lKMHz8eBoMBubm5mDNnDo4ePeqzza233gqO43xuEydODLjflStXdnoMx3Ewm2PzTfFHcgdfjFAcUNnJIRbmmUmlH2L0EzrNghspIbhUy6AfYuhjQFjNymUGrUrSoIR1mn3nNnz0x/Ea13vRMUsSSaJ1EVBv8p8hYicCi90plFSiAc/zpCHqAqlLZjTHrDPsuBurE+9FX6IvWLAAb775ppRrwdatW7Fo0SLs2rULGzduhN1ux8yZM2Ey+V79z549G5WVlcLt888/73bfqampPo+prKxEUlLsGUN1RUejMFEZohgomUkdEJW4hdWnQs0QRSAgiqZbtdSCagYLiI7XtPq1cShvasejnxwC4BmvEg0yo6SbEzJEHTRESWqlcF80ywWtFk8HFAVEvmRJ1HbvCYioZNaRPHeXWYPJCos9+p24HRGdS7darXjjjTewceNGjBs3DsnJvq29zz33XMj7XL9+vc/vK1asQG5uLvbs2YOpU6cK92u1WuTn54e0b47jQn5MLMGE1YCrDGIIQReSHUslM8kzRKGVzKqa5XOpZuhioWQm0wDPrBQtSrKTcarOhO/PNeKyIXnC3yx2B+56dw8a22wY0TsV988aLOlzh0K0dHMsu+DPkC8vNQn1JiuqjGYMLUiN6LoYrFymUSmoA6oDmV4ZIp7nRVdAQh3AnUik69XQqBSw2p2oabaInmUpF6IzRIcOHcLYsWORmpqKY8eOYe/evcJt3759kizOaHQ54nYcFrtlyxbk5uZi0KBB+NWvfoWamppu99Xa2ori4mIUFhbiyiuvxN69e7vc1mKxoLm52ecWbbx1IKlJoWkzsmJIVB3tgCgSGaI0neu9YiefaNBsZh1m0umHGJ6yma+O6PFPD2P/eSPS9Wq8+ssLo3rCzZSo/BEKTiePxgCGlAUx0GlG+qGuYUG01eEUSs5iEDJE9Bp3guM4T+t9S+xJVkQfLTdv3izlOjrB8zyWLFmCKVOmYMSIEcL9P/3pT3HDDTeguLgYp0+fxsMPP4zLLrsMe/bsgVar9buvIUOGYOXKlRg5ciSam5vx4osv4uKLL8b+/fsxcODATtuXlpbi8ccfl+1/E4N3ySzUK49YaruvaZbWA4iZDja12dBosnZrle/REMkjqgY8J8PGKGbkWszyZIgAz6BXJqxus9qx9vtyvL/7HDgOeOGmC6J+5cfKH5HUzTWbbUI5yp9+in3mo1kyo4Coa5LUSuSlalHdbMHJulaM7ZMhaj+CqJoyRH7JMyShrKEdVcboX6B3RPrLR4lYvHgxDhw4gB07dvjcf9NNNwk/jxgxAuPGjUNxcTE+++wzXHfddX73NXHiRB/h9cUXX4yxY8fi5ZdfxksvvdRp+6VLl2LJkiXC783NzSgqKgr3XwoLvXdAFOLBjGWIWix2mG2OqF258zyPWneWil2NhYtOo0SvtCRUGM04VWfChQECIoeXj5OcGaJoZCc6IoiqZQiImGP1nrONGP34Bp9M2G8uH4Rpg6PvZJ8lketwKLCStEGr8jv8Nl+YZxa98R0kqA7MoDwDqpstOFbVIj4gCnGaQKKRJ3gRxXmGaMmSJXjyySeRnJzsEzD4Q4yGiHH33Xdj3bp12LZtGwoLCwNuW1BQgOLiYhw/fjzo/SsUCowfP77Lx2i12i6zTdEixUtDFKpQNjXJ5ctic/BoMFnRK12+7EggWi12WO0ubxypAiLA5VhdYTTjdJ1JKOf4o67VAoeTh1LBSfr8HWFmhA1RnB3nEVVLf83TPycZRZk6lDW0C8FQskaJOWN64+7LBkj+fGLIkqiFOhRYRjAzxf+JMBbMGSlDFJiBuQZsP16HY9XBda36w0gls4AIAVG8l8z27t0Lm80m/NwVYsVoPM/j7rvvxkcffYQtW7agX79+3T6mvr4eZWVlKCgoCOl59u3bh5EjR4paZzTw1hCFeuXBfFmqms2ob41eQMRKdskapY+jc7j0y07GVyfqu229ZyeiPIMWShn9cTwlsyhqiGQSVQOuz9OHCyfjWHUL8tOSkJ+WJMvzhINUHUOh0FXLPSMWzBkpIArM4HyXjcex6hbR+2gUSmaUIfIH0xDFwhibjoQUEHnrhuTQEC1atAjvv/8+PvnkExgMBlRVVQEA0tLSoNPp0NraisceewzXX389CgoKcObMGfzhD39AdnY2rr32WmE/CxYsQO/evVFaWgoAePzxxzFx4kQMHDgQzc3NeOmll7Bv3z787W9/k/x/kAtvH6I0EVf96Xo1qprNUc1asBliWRJnZ/oFOfWelSrk7DADPB1G0RguyvCIquU58bFAKFbxZIgsYXUMhUJjN/Pb8tNca6IMUewyMM8AQHxA5D3pnkZ3+Ccvhsd3yKIh2rdvHy644IKQH/fqq68CAKZNm+Zz/4oVK3DrrbdCqVTi4MGD+Oc//4mmpiYUFBRg+vTpWL16NQwGg7D9uXPnoFB4avhNTU248847UVVVhbS0NIwZMwbbtm3DRRddJOr/iwY+ouoQTBk7Pr49yJlfcsAErtldlBTEwmaanaoNHBB5OszkzZDFQobII6qOWZmgrLAMkdnmRJvV0cnYVA4aAnSYAR4hf4vZDpPFHpE1dYSdrGkKu38G5rourmpaLGhqs4ac5Wmx0KT77ugxJbNAGI1GvPfee3jjjTewf/9+OByhmy51Z2mv0+nwxRdfdLufLVu2+Pz+/PPP4/nnnw95PbGEb4Yo9C+aLgbck1nGRPoMkaf13unku7QkiIRLNeBlChhVUbXrxCeHqDoe0GuU0KoUsNidaDBZIxMQtQYOiFK0KqRoVWi12FHVbEb/nBTZ19QRo1tsTxki/xiS1OidrkN5UzuOVbfion6Z3T/IC6Yfokn3XRPLJbOwh0lt2rQJ8+bNQ0FBAV5++WVcccUV+O6776RYG+GFtzGjmKGMTINkimJAVNciT4aoMEMHtZKDxe5EZQB9RiQ8iACvDFGbNWpzq+T0IYoHOM4jnK+LkP9WdxkiwKv1PkonAyqZdc/APPE6okZque8WliEyWR1ojaJ5rT9EBUTnz5/HU089hZKSEtx8883IyMiAzWbDmjVr8NRTT2HMmDFSrzPhSQkzQySMk4hiyYxliKTu8FIpFYLR4+kAZbNIZYiYqNbh5IXAJNLIKaqOFyJtf8CeJzNAmSXa5owUEHXP4DB0RNRy3z3JWhUM7vOZd4NBNJ39GSEHRFdccQWGDRuGw4cP4+WXX0ZFRQVefvllOdZGeJEchg8RAOjdGSaTJYols1b/c56kIJghr5XusR1yZ4iS1EokuwPQaHkRsbb7RD7xRbrTrDtRNRB9DxZPoJyYmcNgCEdYTZPugyO3Q9msutmMi5dtwrL1PwrWLNEg5IBow4YNuOOOO/D444/jZz/7GZRKqpNGAl+n6tADCr27ZBbNgaO1MnWZAd0PeXU6eVQbmUu2/LYDGVE0Z7TanTDbXAeVRM4QRdqLqD7AHDOGJ0MUHXNGIUNEJZ0uGSSUzEL3IjIKGSJ6fQPRUVj99GdH0NRmw65T9VDJaInSHSEHRNu3b0dLSwvGjRuHCRMm4K9//Stqa2vlWBvhRbiialYyi2Zasl5il2pvuptp1tBmhdXhBMcBuQb5TTejOb6DdZgBQEoCZwI8GaLIaIiCyRBFU0PE8zyVzIJgQG4KOM51MROq/ox1llJAFJh8r9b7r0/WYd3+Cig44MlrRoQ0p1NqQg6IJk2ahNdffx2VlZVYuHAhPvjgA/Tu3RtOpxMbN25ES4t4Qyuia3xE1SIOZkxUHd0uM3lE1UDnTrOKpnZ8c7oB/ztSjfWHKvHvPecBADkpWqiVYfcSdEs0x3cw3VKKViWrAWWskxXB98BscwgNCwEDIja+IwolM5PVAYe7J5wCoq7Ra1QoynBpEkMtm3km3ZOGKBC57u/B+cY2PPrJDwCAX04oxojeadFclvi2e71ej9tuuw233XYbjh49ijfffBPPPvssHnzwQcyYMQPr1q2Tcp0JT06KFj8bWQBDkkqUy7On7T46GSKbwylMgZalZOYOiM7Wt2HIw+thdfivQxdEyKU7muM7SCfiggUmdREIiFh3kUrBBXzdo5khYhksjVIBHbWEB2RQngHnGtpwrKoFk/tnB/04GtsRHKz1/t97zsNscyIzWYP7Zg6O8qokaLsHgMGDB2P58uU4f/48Vq1aJcUuiQ5wHIe//XIsnr1+lKjHswxTtDJE7CpdqeBkOVjkGLQozHAFO1aHEyoFhz6ZeowuTMO44gxM7p+Fy4bk4nczBkn+3P6IZsnMM8cssQ/K7Cq0vLFN9udq8NIPBXLFZqagda1WWOyR/S6eb3Tplnpn6CLi3B3PCDqimtB0RE2kIQoKpiFiWscHZw+JCV2bpJeQSqUSc+bMwZw5c6TcLSEBOnV0S2a17inzmckaWWrEHMdh7V2TcbrWhN4ZOuSnJkEVgdJYV2RE0ZyRTbpPZEE1AAzvlQoAOFlrgrHdJmuZKJiWe8A1zkGjUsBqd6Km2YIit11EJChrcAWGkXzOeGUQ6zSrCq1kxjKFaSKmCSQSLCACgDF90jH3wsBD3CNF9M4YRERJ1kZXVM0CAzla7hm5hiRMKMlCYYY+qsEQEBui6kQ1ZWRkp2gFf6oD55tkfS5Phihw0MVxXNR0ROfcAVGfzOgMd44nBnm13odirspKZjTHLDAsmx8LQmpvKCBKEPRRHt3BOn1yItDhFQsIoupoaIjMiT22w5sxfdIBAHvPNcn6PI1CwN/95zs/SuaMnoCIMkTdUZKTDAXnalCoaQm+04yMGYMjLzUJf7lhNF6bd2HUhdTeUECUIOij3GUmTLqXMUMUS0S1y0womSV2hggAxhSlAwD2nmuU9XmCzRABXi3HFBDFLElqJfq6GzWOBlk2czp5jzEjZYi65foLCzFzeH60l+EDBUQJgqftPkolM+ZSLUOHWSzCxndEp+2eRNWMMX0yAAB7y5pknSvnmWPW/ec7WuM7SEMUGoNyQ3Os9p50T7YG8UlYAdH27dsxb948TJo0CeXl5QCAd955Bzt27JBkcYR0sLb7dpsDTmfkB47WtTIPosQIiFgmrMVsh60LCwC5oDlmHoYWpEKjUqCpzYYz9fJ1m3lE1d2/5r3c1g9n67ueuyc1rRa7oOOjgCg4BoU45JUm3cc/ogOiNWvWYNasWdDpdNi7dy8sFldJpKWlBc8884xkCySkgYmqeR4wR7jdF/AqmclgyhiLpOrUYDrBSAurWxJ80r03GpUCI90ahe/Pylc2awhibAeDdb8dqjDKtp6OsOxQhl5NgXKQDMpnGaLgWu89poz0+sYrogOip556Cq+99hpef/11qNWeD8DkyZPx/fffS7I4QjqSVJ4rlmjoiNik+5wEyRApFZwgrIy0sFoomdGJDwAwlgmry+QLiNjIhmBE1cN6pULBucYWRGrIK+mHQsd76n0wWfXGNhqLEu+IDoiOHj2KqVOndro/NTUVTU1N4ayJkAGFgvN0mkVh4r1HQ5QYGSLAS1gdoWnrDCaqpi4zF4KOSMZOs4YQxLR6jQoD3fqUA+cjkyUi/VDo9MtOhkalQJvVIQSUgWCC6gzqMItbRAdEBQUFOHHiRKf7d+zYgZKSkrAWRcgD6zQzRVhYzfN8womqgeiN72gmHyIfWOv9j1UtsjUVNIc4NHVkoauMd1BmfyQGZYhCR6VUCDqiH6uau92eJt3HP6IDooULF+Lee+/F7t27wXEcKioq8N577+G+++7DXXfdJeUaCYmIlhdRs9kuzBZLlLZ7IHrmjCSq9qUgzeVc7nDyOChDRsZsc8Bid32+gx0/MModEB0oj0yGiAIicQzNd+m9Dld2L6xmsxopIIpfRF9CPvDAAzAajZg+fTrMZjOmTp0KrVaL++67D4sXL5ZyjYRE6KM04JWZMhq0qoTqvojG+A67wylMXae2ew9j+qTjv4eqsLesCRNKsiTdN8vIcRyQognukDqqMB0AcPC8ETzPyz5bjAIicQwpcAVEP1Z2nyGisR3xT1ht908//TTq6urwzTffYNeuXaitrcWTTz4p1doIiYlWhqguAfVDAJDpNumLZIao1Ws0i4GMGQU8jtXSC6sFzZZWFfQIgiH5BqgUHOpNVlTI7EfkdPI43+Aa7EoaotAYWuDSeh0JpmRGYzviHtEBUWlpKd566y3o9XqMGzcOF110EVJSUvDWW29h2bJlUq6RkIhkbXTMGVmGKFE8iBjMpK/BfaCMBOzkrNcooY7yPLdYggmrvz8nvUEjyxCFMq07Sa3EYHdbt9w6ouoWM6wOJ1QKTjCFJIKDlczKGtqFGYFdQZPu4x/RR8y///3vGDJkSKf7hw8fjtdeey2sRRHyoFNHK0OUWB5EDJYhajAFPwspXDxzzCg75M2IXmlQKTjUtlgkz8gYRWq2BB2RzJ1m59yGlL0zdFEfehxvZCRrhFEr3Y3waKKSWdwj+ttRVVWFgoKCTvfn5OSgsrIyrEUR8iBkiCLcdl+XgB1mgPf4jkhmiEhQ7Q+dRomhbj2I1GUzsa/5yN7pAICDMgurST8UHkLZrBsdEYmq4x/RAVFRURG++uqrTvd/9dVX6NWrV1iLIuSBaYgi3XbPTBkTrWTGTPoiqSGiOWZdw3RE+yT2I2p2O4OHasjnnSGSc84aeRCFBxNWH+kuQ9TONESUIYpXROfV77jjDvzmN7+BzWbDZZddBgD43//+hwceeAC/+93vJFsgIR0sIGqPdMmshc0xS6wDRYZQMrNGpJMI8JycadJ9Z5hm53SdtDPEhAxRiL5Pg/IM0CgVMLbbUNbQjj5Z8gQslCEKD5ZZDJQhMtsc5EPUAwir7b6hoQF33XUXrFbXCS8pKQm///3vsXTpUskWSEhHtIwZWYYomLEGPQnmQ2R1t8KnaOUPUjwnZzood6RvVjIA4IzEQ1XFlsw0KgWGFhiw/7wRB8qbKCCKUYa5S2ZHq1wjPPx1En6yrxwOJ4/CDF3CjCfqiYgumXEch2XLlqG2tha7du3C/v370dDQgEceeUTK9RESEq22+/rWxMwQ6TUqJKldX7FIlc1YhohE1Z1hAUFZQzscQcymChahy0xEEOpxrJZPR3TO3XJPAZE4+mYFHuHB8zxWfHUGAHDLpL5BWy8QsUfYLQcpKSkYP348RowYAa2WIuNYRh8lUXWt0GWWeJ8PNr4jUuaMJKruml7pOqiVHKwOJ6okHKpqDCMrN8otrJar06zNahe6PElDJA6VUiEMevU3wmP36Qb8WNUCnVqJG8cVRXp5hISEfRl5+PBhnDt3TiibMa6++upwd01IjJ613dsiFxBZ7A60uLMWiZYhAoDMFA0qjOYIZoioZNYVSgWHokw9TtWacLbOhN7pOkn2y7yfxMyOYxmiQ+XGLssx4VDmzg6l6dQ0hT0MhhYYcLDciMOVLZg9wre7eqU7O3Td2N4heVERsYfogOjUqVO49tprcfDgQXAcJ3RJMOGowxH5iepEYJK1bNp95DREDe5AQKXgEvKA7Gm9j0xA1CKIqhPvtQ6GYndAdKa+DZMHSLPPcEpmA3NToFUp0GKx40y9CSU5KdIsyg3ph6RhSL5/YfX5xjZsOFwFALh1ct9IL4uQGNEls3vvvRf9+vVDdXU19Ho9fvjhB2zbtg3jxo3Dli1bJFwiIRUeUXXkglXWYZaVoolIl1WswYTVkQqIxHY8JQrFbmH12QbphNVijRkBVzlmeC/XyVaOshkFRNLAOs06lsze2XUWTh6YMiAbA91lNSJ+ER0Q7dy5E0888QRycnKgUCigUCgwZcoUlJaW4p577pFyjYREeNruI5chqkvQDjOGEBC1RVZUTRki//R1d3KdressjhVLuJ19w9wB0dHq7ieqhwp5EEkDM2f0HuHRbnXgg2/KAFB2qKcgOiByOBxISXGld7Ozs1FRUQEAKC4uxtGjR6VZHSEp0cgQCR1mhgQNiNwls4hpiNppdEcgiiVuved5XrQxI2OAu0x2oqZVkjV5QxkiaUjXa4Q5cKz9/h/bTsHYbkOfTD2mD8mN8goJKRB91BwxYgQOHDiAkpISTJgwAcuXL4dGo8E//vEPlJSUSLlGQiKiYczIOlyykxNPUA24ZiEBEewyI1F1QIrdGaJzDW2SmGWarA6hhV9sVm5Ariv7cLKWAqJYZmhBKiqNZry/+xwe/uQHQU906+S+UFKrfY9AdIbooYcegtPpBAA89dRTOHv2LC655BJ8/vnneOmll0Tts7S0FOPHj4fBYEBubi7mzJnTKdt06623guM4n9vEiRO73feaNWswbNgwaLVaDBs2DB999JGoNcYzeq1ndIecowK8ESbdJ2iGKCs5chkip5NHq4VKZoEozNBDwbm8uJgdRDiwjJxayQmeU6HSP9eta6pvg9XuDHtNDLvDKQx2LZbJ9DGRGOJ2Ol+7txxHKpth0Kpw38xBuIXKZT2GkL7BBw4cEIKgWbNm4brrrgMAlJSU4PDhw6irq0NNTY0wyiNUtm7dikWLFmHXrl3YuHEj7HY7Zs6cCZPJN709e/ZsVFZWCrfPP/884H537tyJm266CfPnz8f+/fsxf/583Hjjjdi9e7eodcYrrGTG84BFwgNvIITBrgmeIYqEqLrVageLc6lk5h+NSoFe7nb7s/Xh64i8O8zEZpvyU5OQrFHC4eRxTkKx95n6NlgdTug1SsksBhKZC4szAABalQILp5Zg2wPTsfiygZQd6kGEdNQcM2YMKisrkZubi5KSEnz77bfIysoS/p6ZmRnWYtavX+/z+4oVK5Cbm4s9e/Zg6tSpwv1arRb5+flB7/eFF17AjBkzhJEiS5cuxdatW/HCCy9g1apVYa05ntC5fYgAwGSxI8nrd7mobXFdheckaIYokqJqlq3QqhQReW/jlb5ZyTjf2I4zdSaM7xveMcvYFr4RJsdx6J+bggPnjThR0yqU0MLlmFukPTA3hdyTJeCyIbl4744JGJCbgrzUpGgvh5CBkDJE6enpOH36NADgzJkzQrZILoxGVxtqx0Bry5YtyM3NxaBBg/CrX/0KNTU1Afezc+dOzJw50+e+WbNm4euvv/a7vcViQXNzs8+tJ6BUcEJQFKnxHRQQuQIiY7sNdoe83xdmEGigcllAvHVE4SKMSglTs8WE1SdrpcsQsYBoELWDSwLHcbh4QDYFQz2YkDJE119/PS699FIUFBSA4ziMGzcOSqX/K9FTp06FtTCe57FkyRJMmTIFI0aMEO7/6U9/ihtuuAHFxcU4ffo0Hn74YVx22WXYs2dPl6NDqqqqkJeX53NfXl4eqqqq/G5fWlqKxx9/PKz1xyp6jRLtNkfkAiK3TiPXkJgHkXSdGgoOcPJARZNZtgGegLegmsplgWAB0RkpSmbt4k0Zvemf6w6IJOw0O17t2hcFRAQRHCEdOf/xj3/guuuuw4kTJ3DPPffgV7/6FQwGeb5sixcvxoEDB7Bjxw6f+2+66Sbh5xEjRmDcuHEoLi7GZ599Jmia/NGxvh+ow2Tp0qVYsmSJ8HtzczOKinrGjBq9Vol6U2Qm3lvtTkE7k6gZIpVSgfF9M7H7dAPW/1CJO6f2l+25aI5ZcAjmjBK03gtBaJiarf6s9V7CTjPmazQwT1r3a4LoqYT8LZ49ezZsNhv+/Oc/45prrsHIkSMlX9Tdd9+NdevWYdu2bSgsLAy4bUFBAYqLi3H8+PEut8nPz++UDaqpqemUNWJotdoeO6hWr3a95ZFova93mzKqFBzSE7gN/KrRvbD7dAM+3S9vQCSM7Ujg1zoY+mZ5urrCJZzBrt4McHeanaxplcQOwGp34kydK+CjDBFBBIeoPlG1Wg2TyYSkJGnLIDzPY/HixVi7di02bdqEfv36dfuY+vp6lJWVoaCgoMttJk2ahI0bN/rct2HDBkyePDnsNccbQut9BOaZMf1Qdoo2oUWdPx2RD6WCw8FyI07XSacR6YhU2YqeDvPkMbbb0BSm2J3ptsItmfXJTIZSwcFkdaCq2RzWvgDgdJ0JdicPg1YlGAoSBBEY0T5ECxYswJtvvinlWrBo0SK8++67eP/992EwGFBVVYWqqiq0t7smNre2tuK+++7Dzp07cebMGWzZsgVXXXUVsrOzce211/qsjXWUAa65axs2bMCyZcvw448/YtmyZfjyyy/xm9/8RtL1xwOCOWMEJt4nuqCakZWixcUDsgEA/9lfIdvzeKauU4YoEDqNEnmprs9kuDoiTxAa3muuUSkEbdPJmvCDZu9yWSLOECQIMYi+lLRarXjjjTewceNGjBs3DsnJyT5/f+6550Le56uvvgoAmDZtms/9K1aswK233gqlUomDBw/in//8J5qamlBQUIDp06dj9erVPlqmc+fOQaHwxHqTJ0/GBx98gIceeggPP/ww+vfvj9WrV2PChAkhrzHeEcZ3WOQPiGpamKA6sQMiALhqVAG2HavFpwcqcPflA2V5DnZyJg+i7inOSkZ1swVn6024oChd9H6MEg7T7Z+TglO1JpyoacGUgdlh7es4dZgRRMiI/hYfOnQIY8eOBQAcO3bM529ir0i6c0/W6XT44osvut3Pli1bOt03d+5czJ07V9S6ehLJGtZ2H7mSWaJniABg5vB8/PGjQzhW3Yofq5oxJD9V8ucwStTxlAj0zdLjm9MNYeuIpOoyA4ABuSnYeLhaktZ7arkniNARHRBt3rxZynUQEULnzhBFou2eAiIPaTo1pg3OwYbD1fh0f4UsAREbD8IGyhJdI9WQV+ZDJEVnX38Jh7weo5Z7gggZ0RoiIj5hGaJItN1TQOTLVaN7AQA+3V8pyyy5RrdAOJ0Com4RzBklyhBJodsawLyIwmy9N9scgqXAIGq5J4igEZ0heuKJJwL+/ZFHHhG7a0JGIjnx3mPKSAERAFw+NBc6tRLnGtpw4LwRo8PQrvij0T1GIjNB58aFQl8hQxQ7JbOSHNeaalosaDbbRGedTta2wsm71kQXIwQRPKIDoo7T4m02G06fPg2VSoX+/ftTQBSj6LWRFFW72ofpoOxCr1HhJ8Py8On+Cny6v0KGgMiVIcrQk4aoO5hjeF2rBa0WO5I1ShyrbkW7zRG0yNrh5NFiYSWz8EXVqUlq5KVqUd1swcmaVozpkyFqP0w/NDjPQB1mBBECor/Fe/fu7XRfc3Mzbr31Vp8WeCK28LTdy1sy43neUzJLIR8UxlWjCvDp/gpsOFyNh64cJtl+7Q6nIKrOoAxRt6QmqZGZrEGDyYrSz4/gm9MNOF7TCo4DPr7r4qCC1RZ3Vx8gndVB/5wUV0BUawojIHKV3MihmiBCQ1INUWpqKp544gk8/PDDUu6WkJBItd23Wuww21zDTLMNdIJmXFjsOsmda2iDWUIvKGO7DUyWlMiu4KHAdETv7T6H424hM88D/z3kf8ZhR5jvk16jhFopzaGU6YjCEVZTyz1BiENyUXVTU5MwpZ6IPSLVds+yQylalRCEES59DyuvhNvh5A3TD6UmqaCS6OTc0/nZyAJoVQpcMjAbf5o7Ck/NcQ2R3vRjdVCPl8qU0Zv+OeELqylDRBDiEH2meumll3x+53kelZWVeOeddzB79uywF0bIg04IiOTNEJEpo384jkNJTgr2lTXhdK1JsvZ7QT9E5bKgueOSEtw+pZ+gs2lqs+KRT1xeUecb21CYoQ/4eClNGRlCQCQyQ9RmteNcg0soPpgyRAQREqK/yc8//7zP7wqFAjk5Objlllt8xmYQsUWyNjI+RMIcMwqIOlGSnYx9ZU04JeFcM+ZBlEEt9yHhLTpO12twYXEGvj3TiM0/1mD+pL4BHyu03EuYIWIls7MNbbDandCoQsv2sVJbVrIGWSn03SOIUBAdEJ0+fVrKdRARQqeObMmMOsw60y/b1V59SgJHYgbLEFHLfXhcNiQP355pxKZgAiKz9M7gealapGhVaLXY8ZcNR3HL5L7ola4L+vFULiMI8ZDYIMEQMkQyi6qZB1EOXaV2op/bb+Z0XfiOxAymIUqnlvuwuGxILgDg65P13Xp1GSU0ZWRwHIdJ/bMAAH/fdgpTlm3CbSu/xa5T9UE93rvlniCI0Ag5INq9ezf++9//+tz3z3/+E/369UNubi7uvPNOWCwWyRZISAtru2+zOWRxS2bUNLs1RKkUEHWEZYhOy1Ayo7Ed4TEoLwW903Ww2J34+mRdwG1Zl5kUHkTe/O0XY/HSzWMwqSQLTh7Y9GMNFrz1TVBZXfaZ6p9LGSKCCJWQA6LHHnsMBw4cEH4/ePAgbr/9dvzkJz/Bgw8+iE8//RSlpaWSLpKQDhYQOZw8LHanbM9DGaKuYQFRY5tNCGTChUTV0sBxnJAl2vRjTcBt5SiZAYBGpcDVo3th1Z0Tsel3lyJNp4bV7gyqxFpldJmh9koLvsxGEISLkAOiffv24fLLLxd+/+CDDzBhwgS8/vrrWLJkCV566SX861//knSRhHR4t8DLKawmDVHX6DUqFKS5zCpPS9R632BymzJShihsvAOiQFlUKeeYdUVJTopQ/gqmFb/S2A4AyE8jM1SCCJWQA6LGxkbk5eUJv2/dutWnzX78+PEoKyuTZnWE5CgVHLTuzhU5hdUUEAVGKJtJJKymsR3SMal/FpLUClQazfixqqXL7YwydJn5o3+QZo0WuwN1ra7PQQEFRAQRMiEHRHl5eUKHmdVqxffff49JkyYJf29paYFaTQflWEbu1nuHk0eDiQKiQAidZhIJq6lkJh1JaiUu7p8NIHDZrNns1hDJ7Aze3y3C7y4gYro9jUpB3YYEIYKQA6LZs2fjwQcfxPbt27F06VLo9Xpccsklwt8PHDiA/v37S7pIQlo8rffyBET1rRY4eUDBAVnJFBD5Q2phNfkQSct0d9lsc6CASAZjRn8wb6LuSmYVTa5yWUFaEg11JQgRhPxNfuqpp3Ddddfh0ksvRUpKCt5++21oNJ6D8FtvvYWZM2dKukhCWpK17oDIIk/JjLlUZ6VooVTQgdkfJTnSeRE5nLzXYFfKzkrBxBJX6/vhyuYut4lYycztXn26zgS7w9nlaJaqZpegmsplBCGOkAOinJwcbN++HUajESkpKVAqlT5///DDD5GSQi2fsYxOI2/JjDrMuqck2/UdOVNvgtPJQxFG4NjcboNTGOxKGSIpYJ/dNqsDFrsDWpWy0zZydZl1pHe6DklqBcw2J8oa24XsYkcqmlhARB1mBCEG0caMaWlpnYIhAMjMzPTJGBGxBxvwapJJVE2C6u4pzNBBpeBgtjmFK3uxMP2QQasKedQD4R9DkgosRm1ym156Y7E7YLa5bCvk1hApFJwQQAfSEVUZPSUzgiBCh46eCYhe7gwRDXbtFpVSgT5ZruGh4ZbNSFAtPQoFJ+ixGvx4RTFTRo5zBaJyE4yOqMJIJTOCCAcKiBIQvcwT7ylDFBwl2dKM8GgUPIhIPyQlbAwKCzi9YeUyg1YVVrkzWJiOKHCGiEpmBBEOFBAlIHKLqikgCg5P6314GaIGyhDJAssQ+SuZRcKU0ZtgMkRkykgQ4SEqILLZbJg+fTqOHTsm9XqICKBTu0tmNsoQRZN+2Z7uoXCglnt5YAGmvwxRpDrMGP1zPV5E/tyzvU0Ze6VThoggxCAqIFKr1Th06BB5XcQpsmeIWpmGiK5UA1GSI40XEZt0TwGRtLASpL95c8yUUe4OM0bfrGQoOKDFbBe+X94wU0atSkGlU4IQieiS2YIFC/Dmm29KuRYiQuhk1hDVuLumKEMUGKYhKmtog8Uu/r3wZIjoRCglLMBsDFgyk19QDbjcs4syXSJ8fzoiMmUkiPAR/W22Wq144403sHHjRowbNw7Jyb7eGM8991zYiyPkIVnGLjOTxQ6Te78UEAUmx6BFskYJk9WBsoY2DMg1iNoPdZnJQyyVzABgQE4Kzta34WStCZPdo0UYzLqB9EMEIR7RAdGhQ4cwduxYAOikJaIrlNhGL6MPUZ07na9TKwW/I8I/HMehX04yDpU341StKfyAiEpmkhK4ZBYZU0Zv+uem4H8/1uCk3wyRKyDqRR1mBCEa0QHR5s2bpVwHEUHk9CHyFlRTYNw9/bJTcKi8OSwdkaAhorEdkpIesGQWmcGu3gwI0HpfRR1mBBE21HafgOiZqFqGDFENmTKGRIkEQ15ZBoMmnEuLp+3enzEjK5lFRkMEeDrN/LXeC6aM1GFGEKIJ+9t8+PBhnDt3Dlar70Hj6quvDnfXhEzoZZx2X02C6pDoneE6gbETWqg4nTya2qnLTA4y3Rk3f07VrNMrM4Lz+gbkuEqqlUYzWi12pHg5ZAumjKmUISIIsYgOiE6dOoVrr70WBw8eBMdxgjcGK5M4HPJ0MBHhk+w+kLZZpH+PyhpcqfvCDLpSDQYWxDCRbqi0mO1wuCe7plOXmaSwklmz2d5pyjwL/PMjGICk6dXITtGirtWCU7WtGFWYLvyNmTIWpFNARBBiEV0yu/fee9GvXz9UV1dDr9fjhx9+wLZt2zBu3Dhs2bJFwiUSUuNpu5e+ZHauwVX66ZPlfyI34QsT5Rr9lGWCgblUJ2uUfieyE+JJ99IHeQesPM8LGZlIBkQA0D/HY9DI8DZlpLEdBCEe0QHRzp078cQTTyAnJwcKhQIKhQJTpkxBaWkp7rnnHinXSEiMd9u9P9fbcDhb3wYAKHZ7phCBYVkdsRkiarmXD5VSIWiEvFvvje02WOyuSfe5qZEtDfsb4UGmjAQhDaIDIofDgZQU15czOzsbFRUVAIDi4mIcPXpUmtURssBE1XYnD6vDKdl+eZ7HuQZXQNSHAqKgEDJE7TY4naEHpzS2Q148XkSegJV5/mTo1UhSRzYr52/IK5kyEoQ0iA6IRowYgQMHDgAAJkyYgOXLl+Orr77CE088gZKSElH7LC0txfjx42EwGJCbm4s5c+YEDK4WLlwIjuPwwgsvBNzvypUrwXFcp5vZLE7IGu+wDBHg0qBIRU2LBRa7E0oFJ4iFicCwgMjJA60iSpielnsKiORAaL33ElYL5bIolKcG5rkCov1lRkE7RqaMBCENogOihx56CE6nK7vw5JNP4uzZs7jkkkvw+eef46WXXhK1z61bt2LRokXYtWsXNm7cCLvdjpkzZ8Jk6tyS/PHHH2P37t3o1atXUPtOTU1FZWWlzy0pKTEPIEoFJ6TW61vFaVf8wcplvdKToFaSo0MwJKmVSFK7XiujH7+b7qCxHfKSycwZvUpmHkF15Dspx/fNRIZejapmMzb9WAOATBkJQipEd5nNmjVL+Ll///44fPgwGhoakJGRITptu379ep/fV6xYgdzcXOzZswdTp04V7i8vL8fixYvxxRdf4Gc/+1lQ++Y4Dvn5+aLW1RPJTtGisc2G+lYLAHEOyR1h5bLiTBJUh0KaTg2zzYKmNhuKMkN7LLlUy4u/eWZVRpdmJxoZmSS1EjeOL8Lft57CP3eewYxheWTKSBASEdZl/Pbt2zFv3jxMmjQJ5eXlyMzMxLvvvosdO3ZIsjij0QgAyMz0nCWcTifmz5+P+++/H8OHDw96X62trSguLkZhYSGuvPJK7N27t8ttLRYLmpubfW49jawU14He3+RssZyrd2Xyikg/FBLpOvGt9xQQyYvHrdqrZObOEOVFyfNn3oRicByw/XgdTtW2kikjQUiE6IBozZo1mDVrFnQ6Hfbu3QuLxXVibWlpwTPPPBP2wniex5IlSzBlyhSMGDFCuH/ZsmVQqVQhdbINGTIEK1euxLp167Bq1SokJSXh4osvxvHjx/1uX1pairS0NOFWVFQU9v8Ta2S7DeUkLZmxDFEWBUShwHRETe2hvxeNJlcQlUljO2SBlSKbTJ5gNRoeRN4UZepx2eBcAMA7u86SKSNBSITogOipp57Ca6+9htdffx1qtedgPHnyZHz//fdhL2zx4sU4cOAAVq1aJdy3Z88evPjii4JIOlgmTpyIefPmYfTo0bjkkkvwr3/9C4MGDcLLL7/sd/ulS5fCaDQKt7KysrD/n1hDCIhMEmaIGqjlXgxpYbTeN1Dbvayw17XBK0NU6Q5A8qJYopo/qRgA8O8954XvHZkyEkR4iA6Ijh496qPrYaSmpqKpqSmcNeHuu+/GunXrsHnzZhQWFgr3b9++HTU1NejTpw9UKhVUKhXOnj2L3/3ud+jbt2/Q+1coFBg/fnyXGSKtVovU1FSfW08jy32gr2uRLkN0zi2qppJZaDADwKawRNUUEMmBv3lm0c4QAcDUgTnom6VHi9kuBNJkykgQ4SE6ICooKMCJEyc63b9jxw7Rbfc8z2Px4sVYu3YtNm3ahH79+vn8ff78+Thw4AD27dsn3Hr16oX7778fX3zxRUjPs2/fPhQUFIhaZ08g2yBthqjVYke9++RMJbPQYCWzZlEaIppjJicZQpeZ63W22B3CbLNoBkQKBYd5E4uF38mUkSDCR3SX2cKFC3HvvffirbfeAsdxqKiowM6dO3HffffhkUceEbXPRYsW4f3338cnn3wCg8GAqqoqAEBaWhp0Oh2ysrKQlZXl8xi1Wo38/HwMHjxYuG/BggXo3bs3SktLAQCPP/44Jk6ciIEDB6K5uRkvvfQS9u3bh7/97W8i//v4h2WIaiXSELHsUGayBoYkOjCHAnOrDjVDxPO8kLnIIA2RLAjGjO4giLlCa1SKqM+Ou+HCIvx5w1GYbU4yZSQICRAdED3wwAMwGo2YPn06zGYzpk6dCq1Wi/vuuw+LFy8Wtc9XX30VADBt2jSf+1esWIFbb7016P2cO3cOCoUn+dXU1IQ777wTVVVVSEtLw5gxY7Bt2zZcdNFFotbZExAyRBJ1mQkzzKhcFjJiRdUtFjvsbnM+yhDJg1Aya7e5Zph5lcuiHYCk6dW4ZnRvrP6ujMplBCEBogMiAHj66afxxz/+EYcPH4bT6cSwYcOEcR5iEDNX68yZM53u6zhc9vnnn8fzzz8vclU9k+xkabvMmCkjBUShkyZy4j3LWujUyoiPkEgUWBbI4eTRbLZHbahrVyy+bADKGtuwYFLfaC+FIOKesAIiANDr9Rg3bpwUayEiCPMharc5YLLYkawN76NALffiESuqZrqWTOowk40ktRJ6jRJtVgcaTVZBUB3NDjNvijL1eP9XE6O9DILoEYR8FlQoFN2mijmOg90u3YwsQnqStSro1Eq02xyob7WGHRCV0VBX0YgVVbMMUbS1LD2dDL0GbdZ2NLZZvTJEkR/bQRCEvIR8Fvzoo4+6/NvXX3+Nl19+WVTpi4g8WSkanG9sR22rBX3CzOxQyUw8gqg61ICIXKojQrpejfKmdjS12bwGqZJmhyB6GiEHRNdcc02n+3788UcsXboUn376KX75y1/iySeflGRxhLxkp2hxvrE9bGG1zeFEeZNrnlJxFs0xCxWWIWqzOmC1O6FRBeeGQZPuIwMLOBu8SmaxoiEiCEI6wpplVlFRgV/96lcYNWoU7HY79u3bh7fffht9+vSRan2EjGS7dUTMP0gslU1mOJw8tCoFcg1USggVQ5IarAodirDa6M4QMQ0SIQ9C632b1StDRJ9zguhpiAqIjEYjfv/732PAgAH44Ycf8L///Q+ffvqpz8wxIvbJcnea1bWElyE62+AZ6qpQkBdKqCgVHFKT2PiO4INTVmIjDZG8eMwZrah2+xBFa7ArQRDyEXJAtHz5cpSUlOA///kPVq1aha+//hqXXHKJHGsjZCbbIE2GiOmHaIaZeFjZLJQMEetKS6MMkaywifen60yw2p0AgFwDBUQE0dMIWUP04IMPQqfTYcCAAXj77bfx9ttv+91u7dq1YS+OkBeWIaoNU0MkdJhRy71o0vVqnGsIrfWeRNWRIdOdITpS2QLAVWoOVudFEET8EHJAtGDBgqg7tBLSwLyIwhVVU4YofNJEeBEZqWQWEZiG6Ey9qzRM5TKC6JmEHBCtXLlShmUQ0SAnRRq36rOUIQqbcEpmFBDJCyuZMTcR6jAjiJ4J5X0TmCx3QFQXRoaI53kvU0ZquReLGC8iNtg1TUclMznJ7FCSjBWXaoIgpIUCogSGtd03ttlgdzhF7aOxzYZWi8uVvDCDzOrEEqpbNZutBVCGSG46vr6UISKIngkFRAlMul4D1iXfILLTjGWX0vVqGjAaBunuLA/L+nSHd+BEPkTy0tH4kgIiguiZUECUwCgVnDAYtE6kjogFUjRgNDxC1RCxDjODVgWVkr7GcpKsUULj9RpTyYwgeiZ0JE1wspmw2iROR8QCoiwKiMIiLUQNEdsujcplssNxnE/ZjDJEBNEzoYAowWGt92KF1fWUIZIEVvYyBtl2b6QOs4ji7fWUTxkiguiRUECU4GSH2Xrf0EoBkRSwTE+wJbOmdjbHjF73SMACT51aidSkkN1KCIKIAyggSnDCdatucJfaKCAKD0FU3W4DzwxvAiCM7aAMUURgn+/8tCQypiWIHgoFRAmOx61aZIbIfWLOTKbp3+HARNUOJw+T1dHt9o3u1z2DAqKIwMwZ81Lpc04QPRUKiBIcj1t1eBkiElWHR5JaIczHCqb13thGJbNIkpnsCjxJUE0QPRcKiBIcj6haXIaIZZY6erUQocFxnCCsDmaeWRPNMYsoM4flY3CeAdeM6R3tpRAEIROkDkxwssPOEFHbvVSk6dSoabEE5VYtaIjIlDEijC5Kxxe/nRrtZRAEISOUIUpwhAyRyRqUmNcbnucFg0ASVYdPKPPMPBkiet0JgiCkgAKiBIdliKx2J1rcM8mCpcVih83hCqIoIAqfUNyqmYaIRNUEQRDSQAFRgpOkViJF66qchtppxjyIkjVKmmMmAWnCPLPuA6JGMmYkCIKQFAqICNFu1cylmgTV0pAepDmja9I90xDRa08QBCEFFBARooXVJKiWFk/JLHCmrsVsA5N7kaiaIAhCGiggIoSAJtTW+0aaYyYpgqi6m5IZ+3uyRil4FxEEQRDhQUdTAlnuDJHYkhm5VEtDsKJq6jAjCIKQHgqICOSIHN/hmWNGZRspSAvSmJFZHZCgmiAIQjooICIoQxQjsIxPdxkiI3WYEQRBSA4FRISXqDrUDBGJqqUk6JIZzTEjCIKQHAqICGS7S2aVze0hPY5E1dLCZpm1WuywOZxdbsc0RGmUISIIgpAMCogIDClIhYIDyhraUWkMPigSSmYpFBBJQapXC32geWZMY5ROLfcEQRCSEVMBUWlpKcaPHw+DwYDc3FzMmTMHR48e7XL7hQsXguM4vPDCC93ue82aNRg2bBi0Wi2GDRuGjz76SMKVxzdpOjVGFqYDAL46UR/041jJLJO6nSRBqeBgSHK5hgeaZ8ZKahn0uhMEQUhGTAVEW7duxaJFi7Br1y5s3LgRdrsdM2fOhMlk6rTtxx9/jN27d6NXr17d7nfnzp246aabMH/+fOzfvx/z58/HjTfeiN27d8vxb8QlUwZkAQC+OlEX1PZmmwNtVgcAyhBJSTBu1azLjEpmBEEQ0hFTAdH69etx6623Yvjw4Rg9ejRWrFiBc+fOYc+ePT7blZeXY/HixXjvvfegVnd/UnjhhRcwY8YMLF26FEOGDMHSpUtx+eWXB5VZShQuHpANwBUQBTP1npXL1EoOBvcsNCJ8BGF1gNZ7KpkRBEFIT0wFRB0xGo0AgMzMTOE+p9OJ+fPn4/7778fw4cOD2s/OnTsxc+ZMn/tmzZqFr7/+WrrFxjlj+2RAq1KgpsWCEzWt3W7vLajmOE7u5SUMrHOsKcD4DiMZMxIEQUhOzAZEPM9jyZIlmDJlCkaMGCHcv2zZMqhUKtxzzz1B76uqqgp5eXk+9+Xl5aGqqsrv9haLBc3NzT63nk6SWomL+rkCz2DKZuRBJA/BZYjImJEgCEJqYjYgWrx4MQ4cOIBVq1YJ9+3ZswcvvvgiVq5cGXJWouP2PM93uY/S0lKkpaUJt6KiotD/gThkcn9X2WxHEMJqcqmWhxyDK8A8Utni9+9OJ+/JEFHJjCAIQjJiMiC6++67sW7dOmzevBmFhYXC/du3b0dNTQ369OkDlUoFlUqFs2fP4ne/+x369u3b5f7y8/M7ZYNqamo6ZY0YS5cuhdFoFG5lZWWS/F+xzhS3jmj3qXrYA/jgAB4TR8oQScvsEfkAgM8OVqLNau/09xaLHU426Z4yRARBEJIRUwERz/NYvHgx1q5di02bNqFfv34+f58/fz4OHDiAffv2CbdevXrh/vvvxxdffNHlfidNmoSNGzf63LdhwwZMnjzZ7/ZarRapqak+t0RgWK9UpOnUaLHYcaDcGHBbcqmWhwn9MlGcpUerxY7/Huxc0mXlMr1GCa1KGenlEQRB9Fhiqj1o0aJFeP/99/HJJ5/AYDAIWZ20tDTodDpkZWUhKyvL5zFqtRr5+fkYPHiwcN+CBQvQu3dvlJaWAgDuvfdeTJ06FcuWLcM111yDTz75BF9++SV27NgRuX8uDlAqOEzun4X/HqrC1yfqMLZPRpfbstZvcqmWFo7jcMOFhfjzhmNY/V0Zrr+w0Ofv1GFGEAQhDzGVIXr11VdhNBoxbdo0FBQUCLfVq1eHtJ9z586hsrJS+H3y5Mn44IMPsGLFCowaNQorV67E6tWrMWHCBKn/hbhn8gCmIwosrGYlswwKiCTn+gsLoeCAb0434HSdrweXZ2wHve4EQRBSElMZomD8bzpy5syZTvdt2bKl031z587F3LlzRawqsWA6ou/PNqHd6oBO478sQyUz+ShI02HqoBxsOVqLf+8pw/2zhgh/8wx2pQwRQRCElMRUhoiIPn2z9OiVlgSrw4lvzzR0uV0DDXaVlRvHuTob/73nPBxOz4WCMLaDuvsIgiAkhQIiwgeO4wTX6s1Ha7rcrqGNMkRycvnQXGTo1ahutmDb8Vrh/kaTu2Smo9edIAhCSiggIjoxc7ir9fu93ec6aVgAwO5wCuJeyhDJg1alxJwxvQEA//rWY/vAHKzJlJEgCEJaKCAiOvGTobm4ZGA2rHYn/rD2YCdtV6M7GOI4Gh8hJ6xs9uWRatS3uowwjdRlRhAEIQsUEBGd4DgOT88ZiSS1AjtP1ePfe877/J3ph9J1aigVNMdMLoYWpGJUYRpsDh7L1v8IwNNlRhkigiAIaaGAiPBLnyw9fvuTQQCApz8/gjp3hgIA6oWxHZQdkps/XjEUHAf867vzWH+oUugyIw0RQRCEtFBARHTJ7VP6YVhBKprabHjqP4eF+5mwN4vGdsjOhJIs/PrS/gCAB9ceRFljOwAggzJEBEEQkkIBEdElKqUCz14/EgoO+HhfBT7dXwHAM9iVWr8jw29/MggjersC09oW12tP2i2CIAhpoYCICMiownTccUkJAOA3q/fhswOVqDfRYNdIolEp8MJNY5Ck9nxdSUNEEAQhLRQQEd3y+9lDcN3Y3nA4edzzwV5h6Ch5EEWOAbkp+OMVQwEACg5Ioy4zgiAISYmp0R1EbKJUcPjT3NHgwGHN9+dxtLoFAImqI828icVosdiRmqRGkpom3RMEQUgJBUREUCgVHJbPHQWOg9CGn5VCAVEk4TgOd00bEO1lEARB9EgoICKCRqngsPz6UTAkqbD1aC0mlmRFe0kEQRAEIQkUEBEhoVBwePSq4cBV0V4JQRAEQUgHiaoJgiAIgkh4KCAiCIIgCCLhoYCIIAiCIIiEhwIigiAIgiASHgqICIIgCIJIeCggIgiCIAgi4aGAiCAIgiCIhIcCIoIgCIIgEh4KiAiCIAiCSHgoICIIgiAIIuGhgIggCIIgiISHAiKCIAiCIBIeCogIgiAIgkh4KCAiCIIgCCLhUUV7AfEAz/MAgObm5iivhCAIgiCIYGHnbXYeDwQFREHQ0tICACgqKorySgiCIAiCCJWWlhakpaUF3IbjgwmbEhyn04mKigoYDAZwHBft5RAh0tzcjKKiIpSVlSE1NTXayyFiDPp8EN1Bn5H4hed5tLS0oFevXlAoAquEKEMUBAqFAoWFhdFeBhEmqampdDAjuoQ+H0R30GckPukuM8QgUTVBEARBEAkPBUQEQRAEQSQ8FBARPR6tVotHH30UWq022kshYhD6fBDdQZ+RxIBE1QRBEARBJDyUISIIgiAIIuGhgIggCIIgiISHAiKCIAiCIBIeCogIgiAIgkh4KCAi4oJt27bhqquuQq9evcBxHD7++GOfv7e2tmLx4sUoLCyETqfD0KFD8eqrr/psM23aNHAc53P7+c9/Lvz9zJkzuP3229GvXz/odDr0798fjz766P9v785DolrDMIA/M2kpjbu4TLlMiSVOlCYtaGkUSa6Ff1WYlUxQQYNlmBAGRoSppQmBKQiiIKEEEmEqDoWRS4NKtok2ImqQGlmNgct894/LHa7XirrNos7zgwHPOd9853vhVR7OOeNgenraEiXSH7BEfwBAYGDggjGXLl0yd3lkApbqkb6+PiQnJ8PT0xPOzs6IjIyERqMxd3lkAvxP1bQk6PV6bN68GSdOnEBKSsqC4xkZGdBoNKiqqkJgYCAaGxtx5swZyOVyJCcnG8epVCrk5uYatx0dHY0/v3nzBgaDAaWlpQgKCkJvby9UKhX0ej0KCgrMWyD9EUv0xz9yc3OhUqmM2zKZzMTVkDlYqkfi4+MRHByMlpYWODo6oqioCAkJCRgYGICPj4/5CqQ/J4iWGADi/v378/aFhoaK3NzcefvCw8PF5cuXjdvR0dFCrVb/1rlu3LghFArF/10qWYE5+yMgIEDcunXLRCslazFXj4yNjQkA4smTJ8Z9nz9/FgBEc3OzSdZO5sNbZrQsREVFob6+HiMjIxBCQKPRoK+vD7GxsfPGVVdXw9PTE6GhocjMzMSXL19+Ou/k5CTc3d3NuXSyAFP2R15eHjw8PLBlyxZcu3aNt1SXCVP0iIeHB0JCQlBZWQm9Xo/Z2VmUlpbC29sbW7dutXRJ9Jt4y4yWhdu3b0OlUmHt2rWws7ODVCpFeXk5oqKijGOOHj0KhUIBHx8f9Pb2Ijs7Gz09PWhqavrunAMDAygpKUFhYaGlyiAzMVV/qNVqhIeHw83NDR0dHcjOzoZOp0N5ebk1yiITMkWPSCQSNDU1ITk5GU5OTpBKpfD29kZDQwNcXV2tVBn9MitfoSL6bfjO5e78/HwRHBws6uvrRU9PjygpKREymUw0NTX9cJ7nz58LAEKr1S44NjIyIoKCgkR6erqpl09mZon++Edtba0AIMbHx021fLIAc/WIwWAQSUlJ4sCBA6K1tVVotVpx+vRpsWbNGjE6OmrOksgEGIhoyfnvH7OpqSlhb28vHjx4MG9cenq6iI2N/eE8BoNB2Nvbi5qamnn7R0ZGRHBwsEhNTRVzc3MmXTuZn7n749+Gh4cFANHW1vbH6ybLMVePNDc3C6lUKiYnJ+eNCwoKEtevXzddAWQWfIaIlryZmRnMzMxAKp3fzitWrIDBYPjh+16+fImZmRn4+voa942MjCAmJgbh4eGoqKhYMCctPabsj//q6uoCgJ+OocXPVD0yNTUFAAvmkUqlP52HFgc+Q0RLwtevX9Hf32/c1ul06O7uhru7O/z9/REdHY2LFy/C0dERAQEBePz4MSorK3Hz5k0Afz8PVF1djbi4OHh6euLVq1e4cOECwsLCEBkZCQAYHR1FTEwM/P39UVBQgLGxMeP5+HHZxc0S/fHs2TO0tbVhz549cHFxQWdnJzIyMpCUlAR/f3+r1E2/zhI9snPnTri5uSEtLQ05OTlwdHREWVkZdDod4uPjrVI3/QZrX6Ii+hUajUYAWPBKS0sTQgjx/v17cfz4cSGXy4WDg4PYsGGDKCwsFAaDQQghxNDQkNi9e7dwd3cXK1euFOvXrxfnzp0TExMTxnNUVFR89xz8NVn8LNEfWq1WbN++Xbi4uBjnuHLlitDr9dYomX6TJXpECCE6OzvF/v37hbu7u3BychI7duwQDx8+tHS59D9IhBDCogmMiIiIaJHhAxJERERk8xiIiIiIyOYxEBEREZHNYyAiIiIim8dARERERDaPgYiIiIhsHgMRERER2TwGIiIiIrJ5DEREtGwIIbBv3z7ExsYuOHbnzh24uLhgaGjICisjosWOgYiIlg2JRIKKigq0t7ejtLTUuF+n0yErKwvFxcUm/96xmZkZk85HRNbBQEREy4qfnx+Ki4uRmZkJnU4HIQTS09Oxd+9ebNu2DXFxcZDJZPD29kZqairGx8eN721oaEBUVBRcXV3h4eGBhIQEDAwMGI8PDg5CIpHg3r17iImJgYODA6qqqqxRJhGZGL/LjIiWpYMHD+LTp09ISUnB1atX0dnZiYiICKhUKhw7dgzfvn1DVlYWZmdn0dLSAgCoq6uDRCLBpk2boNfrkZOTg8HBQXR3d0MqlWJwcBAKhQKBgYEoLCxEWFgYVq1aBblcbuVqiehPMRAR0bL04cMHKJVKTExMoLa2Fl1dXWhvb8ejR4+MY4aHh+Hn54e3b98iODh4wRxjY2Pw8vLCixcvoFQqjYGoqKgIarXakuUQkZnxlhkRLUteXl44deoUQkJCcOjQIWi1Wmg0GshkMuNr48aNAGC8LTYwMIAjR45g3bp1cHZ2hkKhAIAFD2JHRERYthgiMjs7ay+AiMhc7OzsYGf39585g8GAxMRE5OXlLRjn6+sLAEhMTISfnx/Kysogl8thMBigVCoxPT09b/zq1avNv3gisigGIiKyCeHh4airq0NgYKAxJP3bxMQEXr9+jdLSUuzatQsA0NraaullEpGV8JYZEdmEs2fP4uPHjzh8+DA6Ojrw7t07NDY24uTJk5ibm4Obmxs8PDxw9+5d9Pf3o6WlBefPn7f2sonIQhiIiMgmyOVyPH36FHNzc4iNjYVSqYRarYaLiwukUimkUilqamqg1WqhVCqRkZGB/Px8ay+biCyEnzIjIiIim8crRERERGTzGIiIiIjI5jEQERERkc1jICIiIiKbx0BERERENo+BiIiIiGweAxERERHZPAYiIiIisnkMRERERGTzGIiIiIjI5jEQERERkc1jICIiIiKb9xcpvfsu7iewLAAAAABJRU5ErkJggg==", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the first 120 time steps\n", + "ds_nino_avg.tas.isel(time=slice(0, 120)).plot()\n", + "plt.title(\"Ni$\\\\mathrm{\\\\tilde{n}}$o 3.4 Region Surface Temperature\")\n", + "plt.xlabel('Year')\n", + "plt.ylabel('Near Surface Air Temperature [$^{\\\\circ}$C]')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5. Retain / Inspect Spatial Weights\n", + "\n", + "xCDAT can retain the weights used for spatial averaging using `keep_weights=True`. Here we retain and inspect these weights for the Niño 3.4 region. Note that along the edges of the Niño 3.4 box the weights are slightly less (since some grid cells are not fully in the averaging box and thus receive partial weight)." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "ds_nino_avg = ds.spatial.average(\"tas\", lat_bounds=(-5, 5), lon_bounds=(190, 240), keep_weights=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Nino 3.4 Weights')" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "ds_nino_avg.tas" + "ax = plt.axes(projection=ccrs.Robinson(central_longitude=180.))\n", + "plt.pcolor(ds_nino_avg.lon, ds_nino_avg.lat, ds_nino_avg.lat_lon_wts.T,\n", + " transform=ccrs.PlateCarree(),\n", + " cmap=plt.cm.Purples)\n", + "ax.coastlines()\n", + "plt.colorbar(orientation='horizontal')\n", + "plt.title('Nino 3.4 Weights')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6. Create and apply your own weights\n", + "\n", + "Instead of having xcdat generate geospatial weights, you may want to create your own weights. You can pass your own weights into xcdat. Here we show an example of weighting the surface temperature data in the tropics by precipitation. \n", + "\n", + "
    Warning: The lat_bounds and lon_bounds args are used when calculating axis weights, but is ignored if weights are supplied.
    " ] }, { @@ -1916,30 +1262,99 @@ "outputs": [ { "data": { + "image/png": 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", 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    " ] }, - "execution_count": 11, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# let's grab and open the precipitation dataset that corresponds to our temperature data\n", + "filepath = \"https://esgf-data1.llnl.gov/thredds/dodsC/css03_data/CMIP6/CMIP/CSIRO/ACCESS-ESM1-5/historical/r10i1p1f1/Amon/pr/gn/v20200605/pr_Amon_ACCESS-ESM1-5_historical_r10i1p1f1_gn_185001-201412.nc\"\n", + "ds_pr = xc.open_dataset(filepath)\n", + "\n", + "# now we will zero out data that is outside the tropics\n", + "weights = ds_pr.pr.where(np.abs(ds_pr.pr.lat) < 30, 0.0)\n", + "# and apply a cos(lat) weighting\n", + "weights = weights * np.cos(np.radians(ds_pr.lat))\n", + "# compute precipitation weighted temperature\n", + "ds_pw = ds.spatial.average('tas', weights=weights)\n", + "\n", + "# plot the first timestep of the weights matrix\n", + "plt.figure(figsize=(10, 3))\n", + "ax = plt.subplot(1, 2, 1, projection=ccrs.Robinson(central_longitude=180.))\n", + "plt.pcolor(ds_pr.lon, ds_pr.lat, weights[0],\n", + " transform=ccrs.PlateCarree(),\n", + " cmap=plt.cm.Purples)\n", + "ax.coastlines()\n", + "plt.colorbar(orientation='horizontal', ticks=[0, 0.0001, 0.0002, 0.0003, 0.0004])\n", + "plt.subplot(1, 2, 2)\n", + "plt.title('Weights (time=0)')\n", + "\n", + "# plot the first 120 time steps\n", + "ds_pw.tas[0:120].plot()\n", + "plt.title(\"Precipitation-weighted Tropical Surface Temperature\")\n", + "plt.xlabel('Year')\n", + "plt.ylabel('Near Surface Air Temperature [$^{\\\\circ}$C]')\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 7. Compute a zonal average\n", + "\n", + "You do not need to average over both latitude and longitude. Here we show an example in which we take the zonal average (average over all longitude values)." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Zonal Mean Surface Air Temperature')" + ] + }, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "# Plot the first 100 time steps\n", - "ds_nino_avg.tas.isel(time=slice(0, 100)).plot()" + "# take zonal average\n", + "ds_zonal = ds.spatial.average('tas', axis=['X'])\n", + "\n", + "# plot first time step\n", + "plt.figure(figsize=(12, 5))\n", + "plt.subplot(1, 2, 1)\n", + "ds_zonal.tas[0].plot()\n", + "plt.ylabel('Near Surface Air Temperature [$^{\\\\circ}$C]')\n", + "plt.xlabel('Latitude [$^{\\\\circ}$N]')\n", + "plt.title('Zonal Mean Surface Air Temperature (1/1850)')\n", + "\n", + "# plot hovmoller\n", + "plt.subplot(1, 2, 2)\n", + "ds_zonal.tas.plot()\n", + "plt.xlabel('Latitude [$^{\\\\circ}$N]')\n", + "plt.ylabel('Year')\n", + "plt.title('Zonal Mean Surface Air Temperature')" ] } ], @@ -1948,7 +1363,7 @@ "hash": "937205ea97caa5d37934716e0a0c6b9e4ffcdaf6e0f20ca1ff82361fb532cef2" }, "kernelspec": { - "display_name": "Python 3.9.12 ('xcdat_dev')", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -1962,10 +1377,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" - }, - "orig_nbformat": 4 + "version": "3.12.2" + } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } From 8ce439671670acce69a526124cbc33be8881ba2b Mon Sep 17 00:00:00 2001 From: Stephen Po-Chedley Date: Fri, 29 Mar 2024 13:11:49 -0700 Subject: [PATCH 3/6] minor updates to spatial average notebook --- docs/examples/spatial-average.ipynb | 103 +++++++++++++--------------- 1 file changed, 48 insertions(+), 55 deletions(-) diff --git a/docs/examples/spatial-average.ipynb b/docs/examples/spatial-average.ipynb index 990e37ad..b0425dcd 100644 --- a/docs/examples/spatial-average.ipynb +++ b/docs/examples/spatial-average.ipynb @@ -446,7 +446,7 @@ " license: CMIP6 model data produced by CSIRO is li...\n", " cmor_version: 3.4.0\n", " tracking_id: hdl:21.14100/af78ae5e-f3a6-4e99-8cfe-5f2...\n", - " DODS_EXTRA.Unlimited_Dimension: time" ], "text/plain": [ " Size: 16kB\n", @@ -1099,6 +1099,7 @@ "metadata": {}, "outputs": [], "source": [ + "# compute the tropical average\n", "ds_trop_avg = ds.spatial.average(\"tas\", lat_bounds=(-25, 25))" ] }, @@ -1153,6 +1154,7 @@ "metadata": {}, "outputs": [], "source": [ + "# compute the nino 3.4 average\n", "ds_nino_avg = ds.spatial.average(\"tas\", lat_bounds=(-5, 5), lon_bounds=(190, 240))" ] }, @@ -1205,6 +1207,7 @@ "metadata": {}, "outputs": [], "source": [ + "# recompute the nino 3.4 average, but retain weights\n", "ds_nino_avg = ds.spatial.average(\"tas\", lat_bounds=(-5, 5), lon_bounds=(190, 240), keep_weights=True)" ] }, @@ -1235,6 +1238,7 @@ } ], "source": [ + "# plot the weights\n", "ax = plt.axes(projection=ccrs.Robinson(central_longitude=180.))\n", "plt.pcolor(ds_nino_avg.lon, ds_nino_avg.lat, ds_nino_avg.lat_lon_wts.T,\n", " transform=ccrs.PlateCarree(),\n", @@ -1259,30 +1263,33 @@ "cell_type": "code", "execution_count": 11, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# let's grab and open the precipitation dataset that corresponds to our temperature data\n", "filepath = \"https://esgf-data1.llnl.gov/thredds/dodsC/css03_data/CMIP6/CMIP/CSIRO/ACCESS-ESM1-5/historical/r10i1p1f1/Amon/pr/gn/v20200605/pr_Amon_ACCESS-ESM1-5_historical_r10i1p1f1_gn_185001-201412.nc\"\n", - "ds_pr = xc.open_dataset(filepath)\n", - "\n", - "# now we will zero out data that is outside the tropics\n", + "ds_pr = xc.open_dataset(filepath)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "# we will use the precip data as weights (zeroing out extratropical data)\n", "weights = ds_pr.pr.where(np.abs(ds_pr.pr.lat) < 30, 0.0)\n", "# and apply a cos(lat) weighting\n", "weights = weights * np.cos(np.radians(ds_pr.lat))\n", "# compute precipitation weighted temperature\n", - "ds_pw = ds.spatial.average('tas', weights=weights)\n", - "\n", + "ds_pw = ds.spatial.average('tas', weights=weights)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ "# plot the first timestep of the weights matrix\n", "plt.figure(figsize=(10, 3))\n", "ax = plt.subplot(1, 2, 1, projection=ccrs.Robinson(central_longitude=180.))\n", @@ -1292,7 +1299,7 @@ "ax.coastlines()\n", "plt.colorbar(orientation='horizontal', ticks=[0, 0.0001, 0.0002, 0.0003, 0.0004])\n", "plt.subplot(1, 2, 2)\n", - "plt.title('Weights (time=0)')\n", + "plt.title('Weights (time=')\n", "\n", "# plot the first 120 time steps\n", "ds_pw.tas[0:120].plot()\n", @@ -1313,34 +1320,20 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Zonal Mean Surface Air Temperature')" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - 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", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# take zonal average\n", - "ds_zonal = ds.spatial.average('tas', axis=['X'])\n", - "\n", + "ds_zonal = ds.spatial.average('tas', axis=['X'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ "# plot first time step\n", "plt.figure(figsize=(12, 5))\n", "plt.subplot(1, 2, 1)\n", From 9e294a39ff8efc11c42df51a19c7e0cc642f4d91 Mon Sep 17 00:00:00 2001 From: Stephen Po-Chedley Date: Fri, 29 Mar 2024 13:45:32 -0700 Subject: [PATCH 4/6] update rendered spatial notebook --- docs/examples/spatial-average.ipynb | 42 +++++++++++++++++++++++++---- 1 file changed, 37 insertions(+), 5 deletions(-) diff --git a/docs/examples/spatial-average.ipynb b/docs/examples/spatial-average.ipynb index b0425dcd..2b15ae80 100644 --- a/docs/examples/spatial-average.ipynb +++ b/docs/examples/spatial-average.ipynb @@ -1286,9 +1286,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# plot the first timestep of the weights matrix\n", "plt.figure(figsize=(10, 3))\n", @@ -1320,7 +1331,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -1330,9 +1341,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Zonal Mean Surface Air Temperature')" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# plot first time step\n", "plt.figure(figsize=(12, 5))\n", From 356d4a08a20e706f4292c84d94710fd264a66ea0 Mon Sep 17 00:00:00 2001 From: Stephen Po-Chedley Date: Tue, 16 Apr 2024 17:04:19 -0700 Subject: [PATCH 5/6] review of general dataset utilities --- docs/examples/general-utilities.ipynb | 2233 +++++++++++++++++++------ docs/examples/spatial-average.ipynb | 24 +- 2 files changed, 1726 insertions(+), 531 deletions(-) diff --git a/docs/examples/general-utilities.ipynb b/docs/examples/general-utilities.ipynb index f165f418..6d93eea6 100644 --- a/docs/examples/general-utilities.ipynb +++ b/docs/examples/general-utilities.ipynb @@ -7,12 +7,9 @@ "source": [ "# General Dataset Utilities\n", "\n", - "Authors:\n", + "Authors: [Tom Vo](https://github.com/tomvothecoder/) & [Stephen Po-Chedley](https://github.com/pochedls/)\n", "\n", - "- [Tom Vo](https://github.com/tomvothecoder/)\n", - "- [Stephen Po-Chedley](https://github.com/pochedls/)\n", - "\n", - "Date: 05/26/22\n" + "Updated: 04/16/24 [xcdat v0.6.1]" ] }, { @@ -24,26 +21,15 @@ "\n", "This notebook demonstrates the use of general utility methods available in `xcdat`, including\n", "the reorientation of the longitude axis, centering of time coordinates using time bounds, and\n", - "adding and getting bounds.\n" - ] - }, - { - "cell_type": "markdown", - "id": "b8443fe9", - "metadata": {}, - "source": [ - "## Notebook Setup\n", + "adding and getting bounds.\n", "\n", - "Create an Anaconda environment for this notebook using the command below, then select the\n", - "kernel in Jupyter.\n", + "The data used in this example is pulled directly from the [Earth System Grid Federation (ESGF)](https://aims2.llnl.gov/metagrid/search).\n", "\n", - "```bash\n", - "conda create -n xcdat_notebook -c conda-forge python xarray netcdf4 xcdat xesmf matplotlib nc-time-axis jupyter\n", - "```\n", + "Users can [install their own instance of xcdat](../getting-started-guide/installation.rst) and follow these examples using their own environment (e.g., with vscode, Jupyter, Spyder, iPython) or [enable xcdat with existing JupyterHub instances](../getting-started-guide/getting-started-hpc-jupyter.rst). The conda environment used in this notebook relies only on xcdat.\n", "\n", - "- `xesmf` is required for horizontal regridding with xESMF\n", - "- `matplotlib` is an optional dependency required for plotting with xarray\n", - "- `nc-time-axis` is an optional dependency required for `matplotlib` to plot `cftime` coordinates\n" + "```\n", + "conda create -n xcdat_notebook -c conda-forge xcdat xesmf ipython ipykernel\n", + "```" ] }, { @@ -53,7 +39,7 @@ "metadata": {}, "outputs": [], "source": [ - "import xcdat" + "import xcdat as xc" ] }, { @@ -65,10 +51,7 @@ "\n", "Datasets can be opened and read using `open_dataset()` or `open_mfdataset()` (multi-file).\n", "\n", - "Related APIs:\n", - "\n", - "- [xcdat.open_dataset()](../generated/xcdat.open_dataset.rst)\n", - "- [xcdat.open_mfdataset()](../generated/xcdat.open_mfdataset.rst)\n" + "Related APIs: [xcdat.open_dataset()](../generated/xcdat.open_dataset.rst) & [xcdat.open_mfdataset()](../generated/xcdat.open_mfdataset.rst)" ] }, { @@ -78,10 +61,11 @@ "metadata": {}, "outputs": [], "source": [ + "# data used in this tutorial\n", "dataset_links = [\n", " \"https://esgf-data2.llnl.gov/thredds/dodsC/user_pub_work/E3SM/1_0/amip_1850_aeroF/1deg_atm_60-30km_ocean/atmos/180x360/time-series/mon/ens2/v3/TS_187001_189412.nc\",\n", " \"https://esgf-data2.llnl.gov/thredds/dodsC/user_pub_work/E3SM/1_0/amip_1850_aeroF/1deg_atm_60-30km_ocean/atmos/180x360/time-series/mon/ens2/v3/TS_189501_191912.nc\",\n", - "]\n" + "]" ] }, { @@ -89,18 +73,6 @@ "execution_count": 3, "id": "e027623a", "metadata": {}, - "outputs": [], - "source": [ - "# NOTE: Opening a multi-file dataset will result in data variables to be dask\n", - "# arrays.\n", - "ds = xcdat.open_mfdataset(dataset_links)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "37392c81", - "metadata": {}, "outputs": [ { "data": { @@ -136,6 +108,7 @@ "}\n", "\n", "html[theme=dark],\n", + "body[data-theme=dark],\n", "body.vscode-dark {\n", " --xr-font-color0: rgba(255, 255, 255, 1);\n", " --xr-font-color2: rgba(255, 255, 255, 0.54);\n", @@ -365,6 +338,11 @@ " 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", @@ -386,14 +364,16 @@ "}\n", "\n", ".xr-var-attrs,\n", - ".xr-var-data {\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-var-data-in:checked ~ .xr-var-data,\n", + ".xr-index-data-in:checked ~ .xr-index-data {\n", " display: block;\n", "}\n", "\n", @@ -403,13 +383,16 @@ "\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-var-data,\n", + ".xr-index-data {\n", " grid-column: 1 / -1;\n", "}\n", "\n", @@ -447,7 +430,8 @@ "}\n", "\n", ".xr-icon-database,\n", - ".xr-icon-file-text2 {\n", + ".xr-icon-file-text2,\n", + ".xr-no-icon {\n", " display: inline-block;\n", " vertical-align: middle;\n", " width: 1em;\n", @@ -456,20 +440,20 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
    <xarray.Dataset>\n",
+       "
    <xarray.Dataset> Size: 156MB\n",
        "Dimensions:    (lat: 180, lon: 360, nbnd: 2, time: 600)\n",
        "Coordinates:\n",
-       "  * lat        (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
-       "  * lon        (lon) float64 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
-       "  * time       (time) object 1870-02-01 00:00:00 ... 1920-01-01 00:00:00\n",
+       "  * lat        (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
+       "  * lon        (lon) float64 3kB 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
+       "  * time       (time) object 5kB 1870-02-01 00:00:00 ... 1920-01-01 00:00:00\n",
        "Dimensions without coordinates: nbnd\n",
        "Data variables:\n",
-       "    lat_bnds   (lat, nbnd) float64 dask.array<chunksize=(180, 2), meta=np.ndarray>\n",
-       "    lon_bnds   (lon, nbnd) float64 dask.array<chunksize=(360, 2), meta=np.ndarray>\n",
-       "    gw         (lat) float64 dask.array<chunksize=(180,), meta=np.ndarray>\n",
-       "    time_bnds  (time, nbnd) object dask.array<chunksize=(300, 2), meta=np.ndarray>\n",
-       "    area       (lat, lon) float64 dask.array<chunksize=(180, 360), meta=np.ndarray>\n",
-       "    TS         (time, lat, lon) float32 dask.array<chunksize=(300, 180, 360), meta=np.ndarray>\n",
+       "    lat_bnds   (lat, nbnd) float64 3kB dask.array<chunksize=(180, 2), meta=np.ndarray>\n",
+       "    lon_bnds   (lon, nbnd) float64 6kB dask.array<chunksize=(360, 2), meta=np.ndarray>\n",
+       "    gw         (lat) float64 1kB dask.array<chunksize=(180,), meta=np.ndarray>\n",
+       "    time_bnds  (time, nbnd) object 10kB dask.array<chunksize=(300, 2), meta=np.ndarray>\n",
+       "    area       (lat, lon) float64 518kB dask.array<chunksize=(180, 360), meta=np.ndarray>\n",
+       "    TS         (time, lat, lon) float32 156MB dask.array<chunksize=(300, 180, 360), meta=np.ndarray>\n",
        "Attributes: (12/21)\n",
        "    ne:                              30\n",
        "    np:                              4\n",
@@ -483,7 +467,7 @@
        "    remap_version:                   4.9.6\n",
        "    map_file:                        /export/zender1/data/maps/map_ne30np4_to...\n",
        "    input_file:                      /p/user_pub/e3sm/baldwin32/workshop/amip...\n",
-       "    DODS_EXTRA.Unlimited_Dimension:  time
    "
       ],
       "text/plain": [
-       "\n",
+       " Size: 156MB\n",
        "Dimensions:    (lat: 180, lon: 360, nbnd: 2, time: 600)\n",
        "Coordinates:\n",
-       "  * lat        (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
-       "  * lon        (lon) float64 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
-       "  * time       (time) object 1870-02-01 00:00:00 ... 1920-01-01 00:00:00\n",
+       "  * lat        (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
+       "  * lon        (lon) float64 3kB 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
+       "  * time       (time) object 5kB 1870-02-01 00:00:00 ... 1920-01-01 00:00:00\n",
        "Dimensions without coordinates: nbnd\n",
        "Data variables:\n",
-       "    lat_bnds   (lat, nbnd) float64 dask.array\n",
-       "    lon_bnds   (lon, nbnd) float64 dask.array\n",
-       "    gw         (lat) float64 dask.array\n",
-       "    time_bnds  (time, nbnd) object dask.array\n",
-       "    area       (lat, lon) float64 dask.array\n",
-       "    TS         (time, lat, lon) float32 dask.array\n",
+       "    lat_bnds   (lat, nbnd) float64 3kB dask.array\n",
+       "    lon_bnds   (lon, nbnd) float64 6kB dask.array\n",
+       "    gw         (lat) float64 1kB dask.array\n",
+       "    time_bnds  (time, nbnd) object 10kB dask.array\n",
+       "    area       (lat, lon) float64 518kB dask.array\n",
+       "    TS         (time, lat, lon) float32 156MB dask.array\n",
        "Attributes: (12/21)\n",
        "    ne:                              30\n",
        "    np:                              4\n",
@@ -908,12 +895,16 @@
        "    DODS_EXTRA.Unlimited_Dimension:  time"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
+    "# NOTE: Opening a multi-file dataset will result in data variables to be dask\n",
+    "# arrays.\n",
+    "ds = xc.open_mfdataset(dataset_links)\n",
+    "# print dataset\n",
     "ds"
    ]
   },
@@ -932,7 +923,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "id": "9f0e4c8c",
    "metadata": {},
    "outputs": [
@@ -970,6 +961,7 @@
        "}\n",
        "\n",
        "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
        "body.vscode-dark {\n",
        "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
        "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
@@ -1199,6 +1191,11 @@
        "  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",
@@ -1220,14 +1217,16 @@
        "}\n",
        "\n",
        ".xr-var-attrs,\n",
-       ".xr-var-data {\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-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
        "  display: block;\n",
        "}\n",
        "\n",
@@ -1237,13 +1236,16 @@
        "\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-var-data,\n",
+       ".xr-index-data {\n",
        "  grid-column: 1 / -1;\n",
        "}\n",
        "\n",
@@ -1281,7 +1283,8 @@
        "}\n",
        "\n",
        ".xr-icon-database,\n",
-       ".xr-icon-file-text2 {\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
        "  display: inline-block;\n",
        "  vertical-align: middle;\n",
        "  width: 1em;\n",
@@ -1290,10 +1293,10 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "
    <xarray.DataArray 'lon' (lon: 360)>\n",
+       "
    <xarray.DataArray 'lon' (lon: 360)> Size: 3kB\n",
        "array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5])\n",
        "Coordinates:\n",
-       "  * lon      (lon) float64 0.5 1.5 2.5 3.5 4.5 ... 355.5 356.5 357.5 358.5 359.5\n",
+       "  * lon      (lon) float64 3kB 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
        "Attributes:\n",
        "    long_name:      Longitude of Grid Cell Centers\n",
        "    standard_name:  longitude\n",
@@ -1301,13 +1304,16 @@
        "    axis:           X\n",
        "    valid_min:      0.0\n",
        "    valid_max:      360.0\n",
-       "    bounds:         lon_bnds
    "
+       "    bounds:         lon_bnds
    "
       ],
       "text/plain": [
-       "\n",
+       " Size: 3kB\n",
        "array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5])\n",
        "Coordinates:\n",
-       "  * lon      (lon) float64 0.5 1.5 2.5 3.5 4.5 ... 355.5 356.5 357.5 358.5 359.5\n",
+       "  * lon      (lon) float64 3kB 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
        "Attributes:\n",
        "    long_name:      Longitude of Grid Cell Centers\n",
        "    standard_name:  longitude\n",
@@ -1318,7 +1324,7 @@
        "    bounds:         lon_bnds"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1329,17 +1335,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "id": "178b80f6",
    "metadata": {},
    "outputs": [],
    "source": [
-    "ds2 = xcdat.swap_lon_axis(ds, to=(-180,180))"
+    "ds2 = xc.swap_lon_axis(ds, to=(-180,180))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "6c39a178",
    "metadata": {},
    "outputs": [
@@ -1377,6 +1383,7 @@
        "}\n",
        "\n",
        "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
        "body.vscode-dark {\n",
        "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
        "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
@@ -1606,6 +1613,11 @@
        "  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",
@@ -1627,14 +1639,16 @@
        "}\n",
        "\n",
        ".xr-var-attrs,\n",
-       ".xr-var-data {\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-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
        "  display: block;\n",
        "}\n",
        "\n",
@@ -1644,13 +1658,16 @@
        "\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-var-data,\n",
+       ".xr-index-data {\n",
        "  grid-column: 1 / -1;\n",
        "}\n",
        "\n",
@@ -1688,7 +1705,8 @@
        "}\n",
        "\n",
        ".xr-icon-database,\n",
-       ".xr-icon-file-text2 {\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
        "  display: inline-block;\n",
        "  vertical-align: middle;\n",
        "  width: 1em;\n",
@@ -1697,10 +1715,10 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "
    <xarray.DataArray 'lon' (lon: 360)>\n",
+       "
    <xarray.DataArray 'lon' (lon: 360)> Size: 3kB\n",
        "array([-179.5, -178.5, -177.5, ...,  177.5,  178.5,  179.5])\n",
        "Coordinates:\n",
-       "  * lon      (lon) float64 -179.5 -178.5 -177.5 -176.5 ... 177.5 178.5 179.5\n",
+       "  * lon      (lon) float64 3kB -179.5 -178.5 -177.5 -176.5 ... 177.5 178.5 179.5\n",
        "Attributes:\n",
        "    long_name:      Longitude of Grid Cell Centers\n",
        "    standard_name:  longitude\n",
@@ -1708,13 +1726,18 @@
        "    axis:           X\n",
        "    valid_min:      0.0\n",
        "    valid_max:      360.0\n",
-       "    bounds:         lon_bnds
    "
+       "    bounds:         lon_bnds
    "
       ],
       "text/plain": [
-       "\n",
+       " Size: 3kB\n",
        "array([-179.5, -178.5, -177.5, ...,  177.5,  178.5,  179.5])\n",
        "Coordinates:\n",
-       "  * lon      (lon) float64 -179.5 -178.5 -177.5 -176.5 ... 177.5 178.5 179.5\n",
+       "  * lon      (lon) float64 3kB -179.5 -178.5 -177.5 -176.5 ... 177.5 178.5 179.5\n",
        "Attributes:\n",
        "    long_name:      Longitude of Grid Cell Centers\n",
        "    standard_name:  longitude\n",
@@ -1725,7 +1748,7 @@
        "    bounds:         lon_bnds"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1744,20 +1767,14 @@
     "A given point of time often represents some time period (e.g., a monthly average). In this situation, data providers sometimes record the time as the beginning, middle, or end of the period. `center_times()` places the time coordinate in the center of the time interval (using time bounds to determine the center of the period).\n",
     "\n",
     "- Related API: [xcdat.center_times()](../generated/xcdat.center_times.rst)\n",
-    "- Alternative solution: `xcdat.open_mfdataset(dataset_links, center_times=True)`\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b6ae5740",
-   "metadata": {},
-   "source": [
-    "The time bounds used for centering time coordinates:\n"
+    "- Alternative solution: `xcdat.open_mfdataset(dataset_links, center_times=True)`\n",
+    "\n",
+    "The time bounds used for centering time coordinates:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "id": "2ca935db",
    "metadata": {},
    "outputs": [
@@ -1780,7 +1797,7 @@
        "      dtype=object)"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1800,7 +1817,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "db10a5e0",
    "metadata": {},
    "outputs": [
@@ -1838,6 +1855,7 @@
        "}\n",
        "\n",
        "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
        "body.vscode-dark {\n",
        "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
        "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
@@ -2067,6 +2085,11 @@
        "  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",
@@ -2088,14 +2111,16 @@
        "}\n",
        "\n",
        ".xr-var-attrs,\n",
-       ".xr-var-data {\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-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
        "  display: block;\n",
        "}\n",
        "\n",
@@ -2105,13 +2130,16 @@
        "\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-var-data,\n",
+       ".xr-index-data {\n",
        "  grid-column: 1 / -1;\n",
        "}\n",
        "\n",
@@ -2149,7 +2177,8 @@
        "}\n",
        "\n",
        ".xr-icon-database,\n",
-       ".xr-icon-file-text2 {\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
        "  display: inline-block;\n",
        "  vertical-align: middle;\n",
        "  width: 1em;\n",
@@ -2158,7 +2187,7 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "
    <xarray.DataArray 'time' (time: 600)>\n",
+       "
    <xarray.DataArray 'time' (time: 600)> Size: 5kB\n",
        "array([cftime.DatetimeNoLeap(1870, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.DatetimeNoLeap(1870, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.DatetimeNoLeap(1870, 4, 1, 0, 0, 0, 0, has_year_zero=True), ...,\n",
@@ -2167,26 +2196,35 @@
        "       cftime.DatetimeNoLeap(1920, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
        "      dtype=object)\n",
        "Coordinates:\n",
-       "  * time     (time) object 1870-02-01 00:00:00 ... 1920-01-01 00:00:00\n",
+       "  * time     (time) object 5kB 1870-02-01 00:00:00 ... 1920-01-01 00:00:00\n",
        "Attributes:\n",
        "    long_name:     time\n",
        "    bounds:        time_bnds\n",
-       "    cell_methods:  time: mean
    • time
      PandasIndex
      PandasIndex(CFTimeIndex([1870-02-01 00:00:00, 1870-03-01 00:00:00, 1870-04-01 00:00:00,\n",
+       "             1870-05-01 00:00:00, 1870-06-01 00:00:00, 1870-07-01 00:00:00,\n",
+       "             1870-08-01 00:00:00, 1870-09-01 00:00:00, 1870-10-01 00:00:00,\n",
+       "             1870-11-01 00:00:00,\n",
+       "             ...\n",
+       "             1919-04-01 00:00:00, 1919-05-01 00:00:00, 1919-06-01 00:00:00,\n",
+       "             1919-07-01 00:00:00, 1919-08-01 00:00:00, 1919-09-01 00:00:00,\n",
+       "             1919-10-01 00:00:00, 1919-11-01 00:00:00, 1919-12-01 00:00:00,\n",
+       "             1920-01-01 00:00:00],\n",
+       "            dtype='object', length=600, calendar='noleap', freq='MS'))
  • long_name :
    time
    bounds :
    time_bnds
    cell_methods :
    time: mean
    • "
       ],
       "text/plain": [
-       "\n",
+       " Size: 5kB\n",
        "array([cftime.DatetimeNoLeap(1870, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.DatetimeNoLeap(1870, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.DatetimeNoLeap(1870, 4, 1, 0, 0, 0, 0, has_year_zero=True), ...,\n",
@@ -2195,14 +2233,14 @@
        "       cftime.DatetimeNoLeap(1920, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
        "      dtype=object)\n",
        "Coordinates:\n",
-       "  * time     (time) object 1870-02-01 00:00:00 ... 1920-01-01 00:00:00\n",
+       "  * time     (time) object 5kB 1870-02-01 00:00:00 ... 1920-01-01 00:00:00\n",
        "Attributes:\n",
        "    long_name:     time\n",
        "    bounds:        time_bnds\n",
        "    cell_methods:  time: mean"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2211,14 +2249,22 @@
     "ds.time"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "c8f87a61-9729-4a6c-8c45-23fe3e65922d",
+   "metadata": {},
+   "source": [
+    "Now center the time coordinates:"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "700783d7",
    "metadata": {},
    "outputs": [],
    "source": [
-    "ds3 = xcdat.center_times(ds)"
+    "ds3 = xc.center_times(ds)"
    ]
   },
   {
@@ -2226,12 +2272,12 @@
    "id": "66db7abf",
    "metadata": {},
    "source": [
-    "After centering time coordinates:\n"
+    "After centering time coordinates:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "id": "9a0a0843",
    "metadata": {},
    "outputs": [
@@ -2269,6 +2315,7 @@
        "}\n",
        "\n",
        "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
        "body.vscode-dark {\n",
        "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
        "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
@@ -2498,6 +2545,11 @@
        "  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",
@@ -2519,14 +2571,16 @@
        "}\n",
        "\n",
        ".xr-var-attrs,\n",
-       ".xr-var-data {\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-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
        "  display: block;\n",
        "}\n",
        "\n",
@@ -2536,13 +2590,16 @@
        "\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-var-data,\n",
+       ".xr-index-data {\n",
        "  grid-column: 1 / -1;\n",
        "}\n",
        "\n",
@@ -2580,7 +2637,8 @@
        "}\n",
        "\n",
        ".xr-icon-database,\n",
-       ".xr-icon-file-text2 {\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
        "  display: inline-block;\n",
        "  vertical-align: middle;\n",
        "  width: 1em;\n",
@@ -2589,7 +2647,7 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "
    <xarray.DataArray 'time' (time: 600)>\n",
+       "
    <xarray.DataArray 'time' (time: 600)> Size: 5kB\n",
        "array([cftime.DatetimeNoLeap(1870, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.DatetimeNoLeap(1870, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.DatetimeNoLeap(1870, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
@@ -2599,28 +2657,37 @@
        "       cftime.DatetimeNoLeap(1919, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
        "      dtype=object)\n",
        "Coordinates:\n",
-       "  * time     (time) object 1870-01-16 12:00:00 ... 1919-12-16 12:00:00\n",
+       "  * time     (time) object 5kB 1870-01-16 12:00:00 ... 1919-12-16 12:00:00\n",
        "Attributes:\n",
        "    long_name:     time\n",
        "    bounds:        time_bnds\n",
-       "    cell_methods:  time: mean
    • time
      PandasIndex
      PandasIndex(CFTimeIndex([1870-01-16 12:00:00, 1870-02-15 00:00:00, 1870-03-16 12:00:00,\n",
+       "             1870-04-16 00:00:00, 1870-05-16 12:00:00, 1870-06-16 00:00:00,\n",
+       "             1870-07-16 12:00:00, 1870-08-16 12:00:00, 1870-09-16 00:00:00,\n",
+       "             1870-10-16 12:00:00,\n",
+       "             ...\n",
+       "             1919-03-16 12:00:00, 1919-04-16 00:00:00, 1919-05-16 12:00:00,\n",
+       "             1919-06-16 00:00:00, 1919-07-16 12:00:00, 1919-08-16 12:00:00,\n",
+       "             1919-09-16 00:00:00, 1919-10-16 12:00:00, 1919-11-16 00:00:00,\n",
+       "             1919-12-16 12:00:00],\n",
+       "            dtype='object', length=600, calendar='noleap', freq=None))
  • long_name :
    time
    bounds :
    time_bnds
    cell_methods :
    time: mean
    • "
       ],
       "text/plain": [
-       "\n",
+       " Size: 5kB\n",
        "array([cftime.DatetimeNoLeap(1870, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.DatetimeNoLeap(1870, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.DatetimeNoLeap(1870, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
@@ -2630,14 +2697,14 @@
        "       cftime.DatetimeNoLeap(1919, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
        "      dtype=object)\n",
        "Coordinates:\n",
-       "  * time     (time) object 1870-01-16 12:00:00 ... 1919-12-16 12:00:00\n",
+       "  * time     (time) object 5kB 1870-01-16 12:00:00 ... 1919-12-16 12:00:00\n",
        "Attributes:\n",
        "    long_name:     time\n",
        "    bounds:        time_bnds\n",
        "    cell_methods:  time: mean"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2656,24 +2723,25 @@
     "Bounds are critical to many `xcdat` operations. For example, they are used in determining the weights in spatial or temporal averages and in regridding operations. `add_bounds()` will attempt to produce bounds if they do not exist in the original dataset.\n",
     "\n",
     "- Related API: [xarray.Dataset.bounds.add_bounds()](../generated/xarray.Dataset.bounds.add_bounds.rst)\n",
-    "- Alternative solution: `xcdat.open_mfdataset(dataset_links, add_bounds=True)`\n",
+    "- Alternative solution: `xcdat.open_mfdataset(dataset_links, add_bounds=[\"X\", \"Y\", \"T\"])`\n",
     "  - (Assuming the file doesn't already have bounds for your desired axis/axes)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "id": "59bf9f86",
    "metadata": {},
    "outputs": [],
    "source": [
     "# We are dropping the existing bounds to demonstrate adding bounds.\n",
-    "ds4 = ds.drop_vars(\"time_bnds\")"
+    "# we are starting with the dataset with centered time points\n",
+    "ds4 = ds3.drop_vars(\"time_bnds\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "id": "fb2b09dd",
    "metadata": {},
    "outputs": [
@@ -2681,7 +2749,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\"Bounds were not found for the coordinate variable 'time'. They must be added (Dataset.bounds.add_bounds).\"\n"
+      "\"No bounds data variables were found for the 'T' axis. Make sure the dataset has bound data vars and their names match the 'bounds' attributes found on their related time coordinate variables. Alternatively, you can add bounds with `ds.bounds.add_missing_bounds()` or `ds.bounds.add_bounds()`.\"\n"
      ]
     }
    ],
@@ -2693,21 +2761,18 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "c4b55a89",
+   "cell_type": "markdown",
+   "id": "dbcc35f3-5cd0-4e99-89fe-d2f4d1e5ae33",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "# A `width` kwarg can be specified, which is width of the bounds relative to\n",
-    "# the position of the nearest points. The default value is 0.5.\n",
-    "ds4 = ds4.bounds.add_bounds(\"T\", width=0.5)"
+    "There are two options for adding time bounds. The midpoint method places bounds at the midpoints between time bounds and the frequency method creates bounds based on the time stamp of each time point\n",
+    "and the frequency of the data. This is the midpoint method:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "id": "0b38ef37",
+   "execution_count": 13,
+   "id": "c4b55a89",
    "metadata": {},
    "outputs": [
     {
@@ -2744,6 +2809,7 @@
        "}\n",
        "\n",
        "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
        "body.vscode-dark {\n",
        "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
        "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
@@ -2973,6 +3039,11 @@
        "  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",
@@ -2994,14 +3065,16 @@
        "}\n",
        "\n",
        ".xr-var-attrs,\n",
-       ".xr-var-data {\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-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
        "  display: block;\n",
        "}\n",
        "\n",
@@ -3011,13 +3084,16 @@
        "\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-var-data,\n",
+       ".xr-index-data {\n",
        "  grid-column: 1 / -1;\n",
        "}\n",
        "\n",
@@ -3055,7 +3131,8 @@
        "}\n",
        "\n",
        ".xr-icon-database,\n",
-       ".xr-icon-file-text2 {\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
        "  display: inline-block;\n",
        "  vertical-align: middle;\n",
        "  width: 1em;\n",
@@ -3064,104 +3141,106 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "
    <xarray.DataArray 'time_bnds' (time: 600, bnds: 2)>\n",
-       "array([[cftime.DatetimeNoLeap(1870, 1, 18, 0, 0, 0, 0, has_year_zero=True),\n",
-       "        cftime.DatetimeNoLeap(1870, 2, 15, 0, 0, 0, 0, has_year_zero=True)],\n",
-       "       [cftime.DatetimeNoLeap(1870, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
-       "        cftime.DatetimeNoLeap(1870, 3, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
-       "       [cftime.DatetimeNoLeap(1870, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "        cftime.DatetimeNoLeap(1870, 4, 16, 0, 0, 0, 0, has_year_zero=True)],\n",
+       "
    <xarray.DataArray 'time_bnds' (time: 600, bnds: 2)> Size: 10kB\n",
+       "array([[cftime.DatetimeNoLeap(1870, 1, 1, 18, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1870, 1, 31, 6, 0, 0, 0, has_year_zero=True)],\n",
+       "       [cftime.DatetimeNoLeap(1870, 1, 31, 6, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1870, 3, 1, 18, 0, 0, 0, has_year_zero=True)],\n",
+       "       [cftime.DatetimeNoLeap(1870, 3, 1, 18, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1870, 3, 31, 18, 0, 0, 0, has_year_zero=True)],\n",
        "       ...,\n",
-       "       [cftime.DatetimeNoLeap(1919, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "        cftime.DatetimeNoLeap(1919, 11, 16, 0, 0, 0, 0, has_year_zero=True)],\n",
-       "       [cftime.DatetimeNoLeap(1919, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "        cftime.DatetimeNoLeap(1919, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
-       "       [cftime.DatetimeNoLeap(1919, 12, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "        cftime.DatetimeNoLeap(1920, 1, 16, 12, 0, 0, 0, has_year_zero=True)]],\n",
+       "       [cftime.DatetimeNoLeap(1919, 10, 1, 6, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1919, 10, 31, 18, 0, 0, 0, has_year_zero=True)],\n",
+       "       [cftime.DatetimeNoLeap(1919, 10, 31, 18, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1919, 12, 1, 6, 0, 0, 0, has_year_zero=True)],\n",
+       "       [cftime.DatetimeNoLeap(1919, 12, 1, 6, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1919, 12, 31, 18, 0, 0, 0, has_year_zero=True)]],\n",
        "      dtype=object)\n",
        "Coordinates:\n",
-       "  * time     (time) object 1870-02-01 00:00:00 ... 1920-01-01 00:00:00\n",
+       "  * time     (time) object 5kB 1870-01-16 12:00:00 ... 1919-12-16 12:00:00\n",
        "Dimensions without coordinates: bnds\n",
        "Attributes:\n",
-       "    xcdat_bounds:  True
    • time
      (time)
      object
      1870-01-16 12:00:00 ... 1919-12-...
      long_name :
      time
      bounds :
      time_bnds
      cell_methods :
      time: mean
      array([cftime.DatetimeNoLeap(1870, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(1870, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(1870, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       ...,\n",
+       "       cftime.DatetimeNoLeap(1919, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(1919, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(1919, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
+       "      dtype=object)
    • time
      PandasIndex
      PandasIndex(CFTimeIndex([1870-01-16 12:00:00, 1870-02-15 00:00:00, 1870-03-16 12:00:00,\n",
+       "             1870-04-16 00:00:00, 1870-05-16 12:00:00, 1870-06-16 00:00:00,\n",
+       "             1870-07-16 12:00:00, 1870-08-16 12:00:00, 1870-09-16 00:00:00,\n",
+       "             1870-10-16 12:00:00,\n",
+       "             ...\n",
+       "             1919-03-16 12:00:00, 1919-04-16 00:00:00, 1919-05-16 12:00:00,\n",
+       "             1919-06-16 00:00:00, 1919-07-16 12:00:00, 1919-08-16 12:00:00,\n",
+       "             1919-09-16 00:00:00, 1919-10-16 12:00:00, 1919-11-16 00:00:00,\n",
+       "             1919-12-16 12:00:00],\n",
+       "            dtype='object', length=600, calendar='noleap', freq=None))
  • xcdat_bounds :
    True
    • "
       ],
       "text/plain": [
-       "\n",
-       "array([[cftime.DatetimeNoLeap(1870, 1, 18, 0, 0, 0, 0, has_year_zero=True),\n",
-       "        cftime.DatetimeNoLeap(1870, 2, 15, 0, 0, 0, 0, has_year_zero=True)],\n",
-       "       [cftime.DatetimeNoLeap(1870, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
-       "        cftime.DatetimeNoLeap(1870, 3, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
-       "       [cftime.DatetimeNoLeap(1870, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "        cftime.DatetimeNoLeap(1870, 4, 16, 0, 0, 0, 0, has_year_zero=True)],\n",
+       " Size: 10kB\n",
+       "array([[cftime.DatetimeNoLeap(1870, 1, 1, 18, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1870, 1, 31, 6, 0, 0, 0, has_year_zero=True)],\n",
+       "       [cftime.DatetimeNoLeap(1870, 1, 31, 6, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1870, 3, 1, 18, 0, 0, 0, has_year_zero=True)],\n",
+       "       [cftime.DatetimeNoLeap(1870, 3, 1, 18, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1870, 3, 31, 18, 0, 0, 0, has_year_zero=True)],\n",
        "       ...,\n",
-       "       [cftime.DatetimeNoLeap(1919, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "        cftime.DatetimeNoLeap(1919, 11, 16, 0, 0, 0, 0, has_year_zero=True)],\n",
-       "       [cftime.DatetimeNoLeap(1919, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "        cftime.DatetimeNoLeap(1919, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
-       "       [cftime.DatetimeNoLeap(1919, 12, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "        cftime.DatetimeNoLeap(1920, 1, 16, 12, 0, 0, 0, has_year_zero=True)]],\n",
+       "       [cftime.DatetimeNoLeap(1919, 10, 1, 6, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1919, 10, 31, 18, 0, 0, 0, has_year_zero=True)],\n",
+       "       [cftime.DatetimeNoLeap(1919, 10, 31, 18, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1919, 12, 1, 6, 0, 0, 0, has_year_zero=True)],\n",
+       "       [cftime.DatetimeNoLeap(1919, 12, 1, 6, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1919, 12, 31, 18, 0, 0, 0, has_year_zero=True)]],\n",
        "      dtype=object)\n",
        "Coordinates:\n",
-       "  * time     (time) object 1870-02-01 00:00:00 ... 1920-01-01 00:00:00\n",
+       "  * time     (time) object 5kB 1870-01-16 12:00:00 ... 1919-12-16 12:00:00\n",
        "Dimensions without coordinates: bnds\n",
        "Attributes:\n",
        "    xcdat_bounds:  True"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
+    "# midpoint method\n",
+    "ds4 = ds4.bounds.add_time_bounds(method='midpoint')\n",
+    "# print results\n",
     "ds4.bounds.get_bounds(\"T\")"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "9c863354",
-   "metadata": {},
-   "source": [
-    "## Add missing bounds for all axes supported by xcdat (X, Y, T, Z)\n",
-    "\n",
-    "- Related API: [xarray.Dataset.bounds.add_missing_bounds()](../generated/xarray.Dataset.bounds.add_missing_bounds.rst)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "c386886e",
+   "id": "703e515a-0ccf-44a5-a9a3-063ea35ea988",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "# We drop the dataset axes bounds to demonstrate generating missing bounds.\n",
-    "ds5 = ds.drop_vars([\"time_bnds\", \"lat_bnds\", \"lon_bnds\"])"
+    "Notice that the midpoint method does not place the bounds between the last moment of month `n` and the first moment of month `n+1`. The `frequency` method was meant to try to infer the correct bounds by taking into account the time stamps and the frequency of the data. The frequency method (below) is what is used when `add_bounds=[\"T\"]` is specified in `open_dataset` or `open_mfdataset`."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
-   "id": "8c8114a5",
-   "metadata": {},
+   "execution_count": 14,
+   "id": "2a41a509-379d-49ed-b7b5-74b0ab595c8f",
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
@@ -3197,6 +3276,7 @@
        "}\n",
        "\n",
        "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
        "body.vscode-dark {\n",
        "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
        "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
@@ -3426,6 +3506,11 @@
        "  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",
@@ -3447,14 +3532,16 @@
        "}\n",
        "\n",
        ".xr-var-attrs,\n",
-       ".xr-var-data {\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-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
        "  display: block;\n",
        "}\n",
        "\n",
@@ -3464,13 +3551,16 @@
        "\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-var-data,\n",
+       ".xr-index-data {\n",
        "  grid-column: 1 / -1;\n",
        "}\n",
        "\n",
@@ -3508,7 +3598,8 @@
        "}\n",
        "\n",
        ".xr-icon-database,\n",
-       ".xr-icon-file-text2 {\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
        "  display: inline-block;\n",
        "  vertical-align: middle;\n",
        "  width: 1em;\n",
@@ -3517,142 +3608,1167 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "
    <xarray.Dataset>\n",
-       "Dimensions:  (lat: 180, lon: 360, time: 600)\n",
+       "
    <xarray.DataArray 'time_bnds' (time: 600, bnds: 2)> Size: 10kB\n",
+       "array([[cftime.DatetimeNoLeap(1870, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1870, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
+       "       [cftime.DatetimeNoLeap(1870, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1870, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
+       "       [cftime.DatetimeNoLeap(1870, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1870, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
+       "       ...,\n",
+       "       [cftime.DatetimeNoLeap(1919, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1919, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
+       "       [cftime.DatetimeNoLeap(1919, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1919, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
+       "       [cftime.DatetimeNoLeap(1919, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
+       "        cftime.DatetimeNoLeap(1920, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
+       "      dtype=object)\n",
        "Coordinates:\n",
-       "  * lat      (lat) float64 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n",
-       "  * lon      (lon) float64 0.5 1.5 2.5 3.5 4.5 ... 355.5 356.5 357.5 358.5 359.5\n",
-       "  * time     (time) object 1870-02-01 00:00:00 ... 1920-01-01 00:00:00\n",
-       "Data variables:\n",
-       "    gw       (lat) float64 dask.array<chunksize=(180,), meta=np.ndarray>\n",
-       "    area     (lat, lon) float64 dask.array<chunksize=(180, 360), meta=np.ndarray>\n",
-       "    TS       (time, lat, lon) float32 dask.array<chunksize=(300, 180, 360), meta=np.ndarray>\n",
-       "Attributes: (12/21)\n",
-       "    ne:                              30\n",
-       "    np:                              4\n",
-       "    Conventions:                     CF-1.0\n",
-       "    source:                          CAM\n",
-       "    case:                            20180622.DECKv1b_A2_1850aeroF.ne30_oEC.e...\n",
-       "    title:                           UNSET\n",
-       "    ...                              ...\n",
-       "    remap_script:                    ncremap\n",
-       "    remap_hostname:                  acme1\n",
-       "    remap_version:                   4.9.6\n",
-       "    map_file:                        /export/zender1/data/maps/map_ne30np4_to...\n",
-       "    input_file:                      /p/user_pub/e3sm/baldwin32/workshop/amip...\n",
-       "    DODS_EXTRA.Unlimited_Dimension:  time
    "
       ],
       "text/plain": [
-       "\n",
+       " Size: 156MB\n",
        "Dimensions:  (lat: 180, lon: 360, time: 600)\n",
        "Coordinates:\n",
-       "  * lat      (lat) float64 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n",
-       "  * lon      (lon) float64 0.5 1.5 2.5 3.5 4.5 ... 355.5 356.5 357.5 358.5 359.5\n",
-       "  * time     (time) object 1870-02-01 00:00:00 ... 1920-01-01 00:00:00\n",
+       "  * lat      (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
+       "  * lon      (lon) float64 3kB 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
+       "  * time     (time) object 5kB 1870-02-01 00:00:00 ... 1920-01-01 00:00:00\n",
        "Data variables:\n",
-       "    gw       (lat) float64 dask.array\n",
-       "    area     (lat, lon) float64 dask.array\n",
-       "    TS       (time, lat, lon) float32 dask.array\n",
+       "    gw       (lat) float64 1kB dask.array\n",
+       "    area     (lat, lon) float64 518kB dask.array\n",
+       "    TS       (time, lat, lon) float32 156MB dask.array\n",
        "Attributes: (12/21)\n",
        "    ne:                              30\n",
        "    np:                              4\n",
@@ -3795,7 +4924,7 @@
     }
    ],
    "source": [
-    "ds5"
+    "ds7"
    ]
   },
   {
@@ -3803,16 +4932,6 @@
    "execution_count": 18,
    "id": "229a1e4a",
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "ds5 = ds5.bounds.add_missing_bounds(width=0.5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "9789b2c4",
-   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3848,6 +4967,7 @@
        "}\n",
        "\n",
        "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
        "body.vscode-dark {\n",
        "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
        "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
@@ -4077,6 +5197,11 @@
        "  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",
@@ -4098,14 +5223,16 @@
        "}\n",
        "\n",
        ".xr-var-attrs,\n",
-       ".xr-var-data {\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-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
        "  display: block;\n",
        "}\n",
        "\n",
@@ -4115,13 +5242,16 @@
        "\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-var-data,\n",
+       ".xr-index-data {\n",
        "  grid-column: 1 / -1;\n",
        "}\n",
        "\n",
@@ -4159,7 +5289,8 @@
        "}\n",
        "\n",
        ".xr-icon-database,\n",
-       ".xr-icon-file-text2 {\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
        "  display: inline-block;\n",
        "  vertical-align: middle;\n",
        "  width: 1em;\n",
@@ -4168,20 +5299,20 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "
    <xarray.Dataset>\n",
+       "
    <xarray.Dataset> Size: 156MB\n",
        "Dimensions:    (lat: 180, lon: 360, time: 600, bnds: 2)\n",
        "Coordinates:\n",
-       "  * lat        (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
-       "  * lon        (lon) float64 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
-       "  * time       (time) object 1870-02-01 00:00:00 ... 1920-01-01 00:00:00\n",
+       "  * lat        (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
+       "  * lon        (lon) float64 3kB 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
+       "  * time       (time) object 5kB 1870-02-01 00:00:00 ... 1920-01-01 00:00:00\n",
        "Dimensions without coordinates: bnds\n",
        "Data variables:\n",
-       "    gw         (lat) float64 dask.array<chunksize=(180,), meta=np.ndarray>\n",
-       "    area       (lat, lon) float64 dask.array<chunksize=(180, 360), meta=np.ndarray>\n",
-       "    TS         (time, lat, lon) float32 dask.array<chunksize=(300, 180, 360), meta=np.ndarray>\n",
-       "    lon_bnds   (lon, bnds) float64 0.0 1.0 1.0 2.0 ... 358.0 359.0 359.0 360.0\n",
-       "    lat_bnds   (lat, bnds) float64 -90.0 -89.0 -89.0 -88.0 ... 89.0 89.0 90.0\n",
-       "    time_bnds  (time, bnds) object 1870-01-18 00:00:00 ... 1920-01-16 12:00:00\n",
+       "    gw         (lat) float64 1kB dask.array<chunksize=(180,), meta=np.ndarray>\n",
+       "    area       (lat, lon) float64 518kB dask.array<chunksize=(180, 360), meta=np.ndarray>\n",
+       "    TS         (time, lat, lon) float32 156MB dask.array<chunksize=(300, 180, 360), meta=np.ndarray>\n",
+       "    lon_bnds   (lon, bnds) float64 6kB 0.0 1.0 1.0 2.0 ... 359.0 359.0 360.0\n",
+       "    lat_bnds   (lat, bnds) float64 3kB -90.0 -89.0 -89.0 ... 89.0 89.0 90.0\n",
+       "    time_bnds  (time, bnds) object 10kB 1870-02-01 00:00:00 ... 1920-02-01 00...\n",
        "Attributes: (12/21)\n",
        "    ne:                              30\n",
        "    np:                              4\n",
@@ -4195,7 +5326,7 @@
        "    remap_version:                   4.9.6\n",
        "    map_file:                        /export/zender1/data/maps/map_ne30np4_to...\n",
        "    input_file:                      /p/user_pub/e3sm/baldwin32/workshop/amip...\n",
-       "    DODS_EXTRA.Unlimited_Dimension:  time
    • lat
      PandasIndex
      PandasIndex(Index([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "       ...\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5],\n",
+       "      dtype='float64', name='lat', length=180))
    • lon
      PandasIndex
      PandasIndex(Index([  0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
+       "       ...\n",
+       "       350.5, 351.5, 352.5, 353.5, 354.5, 355.5, 356.5, 357.5, 358.5, 359.5],\n",
+       "      dtype='float64', name='lon', length=360))
    • time
      PandasIndex
      PandasIndex(CFTimeIndex([1870-02-01 00:00:00, 1870-03-01 00:00:00, 1870-04-01 00:00:00,\n",
+       "             1870-05-01 00:00:00, 1870-06-01 00:00:00, 1870-07-01 00:00:00,\n",
+       "             1870-08-01 00:00:00, 1870-09-01 00:00:00, 1870-10-01 00:00:00,\n",
+       "             1870-11-01 00:00:00,\n",
+       "             ...\n",
+       "             1919-04-01 00:00:00, 1919-05-01 00:00:00, 1919-06-01 00:00:00,\n",
+       "             1919-07-01 00:00:00, 1919-08-01 00:00:00, 1919-09-01 00:00:00,\n",
+       "             1919-10-01 00:00:00, 1919-11-01 00:00:00, 1919-12-01 00:00:00,\n",
+       "             1920-01-01 00:00:00],\n",
+       "            dtype='object', length=600, calendar='noleap', freq='MS'))
  • ne :
    30
    np :
    4
    Conventions :
    CF-1.0
    source :
    CAM
    case :
    20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison
    title :
    UNSET
    logname :
    tang30
    host :
    edison02
    Version :
    $Name$
    revision_Id :
    $Id$
    initial_file :
    20180220.DECKv1b_H2.ne30_oEC.edison.cam.i.1870-01-01-00000.nc
    topography_file :
    /project/projectdirs/acme/inputdata/atm/cam/topo/USGS-gtopo30_ne30np4_16xdel2-PFC-consistentSGH.nc
    time_period_freq :
    month_1
    history :
    Wed Dec 16 15:59:05 2020: ncks -O -t 1 --no_tmp_fl --hdr_pad=10000 --no_tmp_fl --hdr_pad=10000 --gaa remap_script=ncremap --gaa remap_hostname=acme1 --gaa remap_version=4.9.6 --rgr lat_nm_out=lat --rgr lon_nm_out=lon --rgr no_stagger --map_fl=/export/zender1/data/maps/map_ne30np4_to_cmip6_180x360_aave.20181001.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/pp/ts/ens2/ne30/25yr/atm/TS_187001_189412.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/pp/ts/ens2/180x360/25yr/atm/TS_187001_189412.nc\n",
        "Wed Dec 16 15:50:56 2020: ncrcat -O -v TS --no_tmp_fl --hdr_pad=10000 /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1870-01.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1870-02.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1870-03.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1870-04.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1870-05.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1870-06.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1870-07.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1870-08.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1870-09.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1870-10.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1870-11.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1870-12.nc 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/p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1892-07.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1892-08.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1892-09.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1892-10.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1892-11.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1892-12.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1893-01.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1893-02.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1893-03.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1893-04.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1893-05.nc /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/temp/ens2/timeseries_atm/1870_1894/20180622.DECKv1b_A2_1850aeroF.ne30_oEC.edison.cam.h0.1893-06.nc 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/p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/pp/ts/ens2/ne30/25yr/atm/TS_187001_189412.nc
    NCO :
    netCDF Operators version 4.9.6 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)
    remap_script :
    ncremap
    remap_hostname :
    acme1
    remap_version :
    4.9.6
    map_file :
    /export/zender1/data/maps/map_ne30np4_to_cmip6_180x360_aave.20181001.nc
    input_file :
    /p/user_pub/e3sm/baldwin32/workshop/amip_aeroF/output/pp/ts/ens2/ne30/25yr/atm/TS_187001_189412.nc
    DODS_EXTRA.Unlimited_Dimension :
    time
    • "
       ],
       "text/plain": [
-       "\n",
+       " Size: 156MB\n",
        "Dimensions:    (lat: 180, lon: 360, time: 600, bnds: 2)\n",
        "Coordinates:\n",
-       "  * lat        (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
-       "  * lon        (lon) float64 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
-       "  * time       (time) object 1870-02-01 00:00:00 ... 1920-01-01 00:00:00\n",
+       "  * lat        (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
+       "  * lon        (lon) float64 3kB 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
+       "  * time       (time) object 5kB 1870-02-01 00:00:00 ... 1920-01-01 00:00:00\n",
        "Dimensions without coordinates: bnds\n",
        "Data variables:\n",
-       "    gw         (lat) float64 dask.array\n",
-       "    area       (lat, lon) float64 dask.array\n",
-       "    TS         (time, lat, lon) float32 dask.array\n",
-       "    lon_bnds   (lon, bnds) float64 0.0 1.0 1.0 2.0 ... 358.0 359.0 359.0 360.0\n",
-       "    lat_bnds   (lat, bnds) float64 -90.0 -89.0 -89.0 -88.0 ... 89.0 89.0 90.0\n",
-       "    time_bnds  (time, bnds) object 1870-01-18 00:00:00 ... 1920-01-16 12:00:00\n",
+       "    gw         (lat) float64 1kB dask.array\n",
+       "    area       (lat, lon) float64 518kB dask.array\n",
+       "    TS         (time, lat, lon) float32 156MB dask.array\n",
+       "    lon_bnds   (lon, bnds) float64 6kB 0.0 1.0 1.0 2.0 ... 359.0 359.0 360.0\n",
+       "    lat_bnds   (lat, bnds) float64 3kB -90.0 -89.0 -89.0 ... 89.0 89.0 90.0\n",
+       "    time_bnds  (time, bnds) object 10kB 1870-02-01 00:00:00 ... 1920-02-01 00...\n",
        "Attributes: (12/21)\n",
        "    ne:                              30\n",
        "    np:                              4\n",
@@ -4541,13 +5681,24 @@
        "    DODS_EXTRA.Unlimited_Dimension:  time"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "ds5"
+    "# add now-missing bounds\n",
+    "ds7 = ds7.bounds.add_missing_bounds([\"X\", \"Y\", \"T\"])\n",
+    "# print dataset\n",
+    "ds7"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5b4db252-7c06-4783-9543-cd1b3f26bace",
+   "metadata": {},
+   "source": [
+    "Note that `ds.bounds.add_missing_bounds` uses `ds.bounds.add_bounds` for the latitude and longitude axes and defaults to the `frequency` method and `add_time_bounds` for the time axis. If you click on the database symbol for `time_bnds` above, the bounds are slightly mis-aligned because the time axis was not centered before adding the time axis. In this case, the user should call `xcdat.center_times` and then `ds.bounds.add_missing_bounds` (as shown earlier). "
    ]
   },
   {
@@ -4560,7 +5711,7 @@
     "\n",
     "In `xarray`, you can get a dimension coordinates by directly referencing its name (e.g., `ds.lat`). `xcdat` provides an alternative way to get dimension coordinates agnostically by simply passing the CF axis key to applicable APIs.\n",
     "\n",
-    "- Related API: [xcdat.get_dim_coords()](../generated/xcdat.get_dim_coords.rst)\n",
+    "- Related API: [xcdat.get_dim_coords()](../generated/xcdat.get_dim_coords.rst) & [xcdat.get_dim_keys()](../generated/xcdat.get_dim_keys.rst)\n",
     "\n",
     "Helpful knowledge:\n",
     "\n",
@@ -4588,7 +5739,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 19,
    "id": "5255323c",
    "metadata": {},
    "outputs": [
@@ -4598,7 +5749,7 @@
        "'Y'"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4617,7 +5768,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 20,
    "id": "bf3d99a1",
    "metadata": {},
    "outputs": [
@@ -4627,7 +5778,7 @@
        "'latitude'"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4638,7 +5789,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "id": "06fd086a",
    "metadata": {},
    "outputs": [
@@ -4648,7 +5799,7 @@
        "True"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4657,9 +5808,17 @@
     "\"lat\" in ds.dims"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "ea49391c-39cf-403f-95ba-7f60032a064b",
+   "metadata": {},
+   "source": [
+    "### Utilities to get the coordinate axis and coordinate axis key"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 22,
    "id": "5d485fa1",
    "metadata": {},
    "outputs": [
@@ -4697,6 +5856,7 @@
        "}\n",
        "\n",
        "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
        "body.vscode-dark {\n",
        "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
        "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
@@ -4926,6 +6086,11 @@
        "  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",
@@ -4947,14 +6112,16 @@
        "}\n",
        "\n",
        ".xr-var-attrs,\n",
-       ".xr-var-data {\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-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
        "  display: block;\n",
        "}\n",
        "\n",
@@ -4964,13 +6131,16 @@
        "\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-var-data,\n",
+       ".xr-index-data {\n",
        "  grid-column: 1 / -1;\n",
        "}\n",
        "\n",
@@ -5008,7 +6178,8 @@
        "}\n",
        "\n",
        ".xr-icon-database,\n",
-       ".xr-icon-file-text2 {\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
        "  display: inline-block;\n",
        "  vertical-align: middle;\n",
        "  width: 1em;\n",
@@ -5017,7 +6188,7 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "
    <xarray.DataArray 'lat' (lat: 180)>\n",
+       "
    <xarray.DataArray 'lat' (lat: 180)> Size: 1kB\n",
        "array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
        "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
        "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
@@ -5037,7 +6208,7 @@
        "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
        "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])\n",
        "Coordinates:\n",
-       "  * lat      (lat) float64 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n",
+       "  * lat      (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
        "Attributes:\n",
        "    long_name:      Latitude of Grid Cell Centers\n",
        "    standard_name:  latitude\n",
@@ -5045,7 +6216,7 @@
        "    axis:           Y\n",
        "    valid_min:      -90.0\n",
        "    valid_max:      90.0\n",
-       "    bounds:         lat_bnds
    • lat
      PandasIndex
      PandasIndex(Index([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "       ...\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5],\n",
+       "      dtype='float64', name='lat', length=180))
  • long_name :
    Latitude of Grid Cell Centers
    standard_name :
    latitude
    units :
    degrees_north
    axis :
    Y
    valid_min :
    -90.0
    valid_max :
    90.0
    bounds :
    lat_bnds
    • "
       ],
       "text/plain": [
-       "\n",
+       " Size: 1kB\n",
        "array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
        "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
        "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
@@ -5102,7 +6276,7 @@
        "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
        "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])\n",
        "Coordinates:\n",
-       "  * lat      (lat) float64 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n",
+       "  * lat      (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
        "Attributes:\n",
        "    long_name:      Latitude of Grid Cell Centers\n",
        "    standard_name:  latitude\n",
@@ -5113,19 +6287,40 @@
        "    bounds:         lat_bnds"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xc.get_dim_coords(ds, axis=\"Y\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "7c10f773-4f64-4da7-8e76-e989fe967547",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'lon'"
+      ]
+     },
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "xcdat.get_axis_coord(ds, axis=\"Y\")"
+    "xc.get_dim_keys(ds, axis=\"X\")"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.9.12 ('xcdat_dev')",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -5139,7 +6334,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.12.2"
   },
   "vscode": {
    "interpreter": {
diff --git a/docs/examples/spatial-average.ipynb b/docs/examples/spatial-average.ipynb
index 2b15ae80..bc3b15b7 100644
--- a/docs/examples/spatial-average.ipynb
+++ b/docs/examples/spatial-average.ipynb
@@ -446,7 +446,7 @@
        "    license:                         CMIP6 model data produced by CSIRO is li...\n",
        "    cmor_version:                    3.4.0\n",
        "    tracking_id:                     hdl:21.14100/af78ae5e-f3a6-4e99-8cfe-5f2...\n",
-       "    DODS_EXTRA.Unlimited_Dimension:  time
  • Conventions :
    CF-1.7 CMIP-6.2
    activity_id :
    CMIP
    branch_method :
    standard
    branch_time_in_child :
    0.0
    branch_time_in_parent :
    87658.0
    creation_date :
    2020-06-05T04:06:11Z
    data_specs_version :
    01.00.30
    experiment :
    all-forcing simulation of the recent past
    experiment_id :
    historical
    external_variables :
    areacella
    forcing_index :
    1
    frequency :
    mon
    further_info_url :
    https://furtherinfo.es-doc.org/CMIP6.CSIRO.ACCESS-ESM1-5.historical.none.r10i1p1f1
    grid :
    native atmosphere N96 grid (145x192 latxlon)
    grid_label :
    gn
    history :
    2020-06-05T04:06:11Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.
    initialization_index :
    1
    institution :
    Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia
    institution_id :
    CSIRO
    mip_era :
    CMIP6
    nominal_resolution :
    250 km
    notes :
    Exp: ESM-historical; Local ID: HI-14; Variable: tas (['fld_s03i236'])
    parent_activity_id :
    CMIP
    parent_experiment_id :
    piControl
    parent_mip_era :
    CMIP6
    parent_source_id :
    ACCESS-ESM1-5
    parent_time_units :
    days since 0101-1-1
    parent_variant_label :
    r1i1p1f1
    physics_index :
    1
    product :
    model-output
    realization_index :
    10
    realm :
    atmos
    run_variant :
    forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)
    source :
    ACCESS-ESM1.5 (2019): \n", "aerosol: CLASSIC (v1.0)\n", "atmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m)\n", "atmosChem: none\n", @@ -1012,15 +1012,15 @@ " 14.65664621, 13.84951678])\n", "Coordinates:\n", " height float64 8B 2.0\n", - " * time (time) object 16kB 1850-01-16 12:00:00 ... 2014-12-16 12:00:00
    • " ], "text/plain": [ " Size: 16kB\n", From 8ae5a6857b211721cdf1c52e41d523e3ccac4858 Mon Sep 17 00:00:00 2001 From: tomvothecoder Date: Wed, 17 Apr 2024 08:58:07 -0700 Subject: [PATCH 6/6] Update conda env command for consistency --- docs/examples/general-utilities.ipynb | 34 +++++----- docs/examples/spatial-average.ipynb | 91 ++++++++++++++------------- 2 files changed, 65 insertions(+), 60 deletions(-) diff --git a/docs/examples/general-utilities.ipynb b/docs/examples/general-utilities.ipynb index 6d93eea6..e197e272 100644 --- a/docs/examples/general-utilities.ipynb +++ b/docs/examples/general-utilities.ipynb @@ -9,7 +9,7 @@ "\n", "Authors: [Tom Vo](https://github.com/tomvothecoder/) & [Stephen Po-Chedley](https://github.com/pochedls/)\n", "\n", - "Updated: 04/16/24 [xcdat v0.6.1]" + "Updated: 04/16/24 [xcdat v0.6.1]\n" ] }, { @@ -25,11 +25,11 @@ "\n", "The data used in this example is pulled directly from the [Earth System Grid Federation (ESGF)](https://aims2.llnl.gov/metagrid/search).\n", "\n", - "Users can [install their own instance of xcdat](../getting-started-guide/installation.rst) and follow these examples using their own environment (e.g., with vscode, Jupyter, Spyder, iPython) or [enable xcdat with existing JupyterHub instances](../getting-started-guide/getting-started-hpc-jupyter.rst). The conda environment used in this notebook relies only on xcdat.\n", + "Users can [install their own instance of xcdat](../getting-started-guide/installation.rst) and follow these examples using their own environment (e.g., with vscode, Jupyter, Spyder, iPython) or [enable xcdat with existing JupyterHub instances](../getting-started-guide/getting-started-hpc-jupyter.rst). The conda environment used in this notebook includes xcdat, xesmf, matplotlib, ipython, ipykernel, cartopy, and jupyter:\n", "\n", "```\n", - "conda create -n xcdat_notebook -c conda-forge xcdat xesmf ipython ipykernel\n", - "```" + "conda create -n xcdat_notebook -c conda-forge xcdat xesmf matplotlib ipython ipykernel cartopy nc-time-axis jupyter\n", + "```\n" ] }, { @@ -51,7 +51,7 @@ "\n", "Datasets can be opened and read using `open_dataset()` or `open_mfdataset()` (multi-file).\n", "\n", - "Related APIs: [xcdat.open_dataset()](../generated/xcdat.open_dataset.rst) & [xcdat.open_mfdataset()](../generated/xcdat.open_mfdataset.rst)" + "Related APIs: [xcdat.open_dataset()](../generated/xcdat.open_dataset.rst) & [xcdat.open_mfdataset()](../generated/xcdat.open_mfdataset.rst)\n" ] }, { @@ -1340,7 +1340,7 @@ "metadata": {}, "outputs": [], "source": [ - "ds2 = xc.swap_lon_axis(ds, to=(-180,180))" + "ds2 = xc.swap_lon_axis(ds, to=(-180, 180))" ] }, { @@ -1769,7 +1769,7 @@ "- Related API: [xcdat.center_times()](../generated/xcdat.center_times.rst)\n", "- Alternative solution: `xcdat.open_mfdataset(dataset_links, center_times=True)`\n", "\n", - "The time bounds used for centering time coordinates:" + "The time bounds used for centering time coordinates:\n" ] }, { @@ -2254,7 +2254,7 @@ "id": "c8f87a61-9729-4a6c-8c45-23fe3e65922d", "metadata": {}, "source": [ - "Now center the time coordinates:" + "Now center the time coordinates:\n" ] }, { @@ -2272,7 +2272,7 @@ "id": "66db7abf", "metadata": {}, "source": [ - "After centering time coordinates:" + "After centering time coordinates:\n" ] }, { @@ -2766,7 +2766,7 @@ "metadata": {}, "source": [ "There are two options for adding time bounds. The midpoint method places bounds at the midpoints between time bounds and the frequency method creates bounds based on the time stamp of each time point\n", - "and the frequency of the data. This is the midpoint method:" + "and the frequency of the data. This is the midpoint method:\n" ] }, { @@ -3221,7 +3221,7 @@ ], "source": [ "# midpoint method\n", - "ds4 = ds4.bounds.add_time_bounds(method='midpoint')\n", + "ds4 = ds4.bounds.add_time_bounds(method=\"midpoint\")\n", "# print results\n", "ds4.bounds.get_bounds(\"T\")" ] @@ -3231,7 +3231,7 @@ "id": "703e515a-0ccf-44a5-a9a3-063ea35ea988", "metadata": {}, "source": [ - "Notice that the midpoint method does not place the bounds between the last moment of month `n` and the first moment of month `n+1`. The `frequency` method was meant to try to infer the correct bounds by taking into account the time stamps and the frequency of the data. The frequency method (below) is what is used when `add_bounds=[\"T\"]` is specified in `open_dataset` or `open_mfdataset`." + "Notice that the midpoint method does not place the bounds between the last moment of month `n` and the first moment of month `n+1`. The `frequency` method was meant to try to infer the correct bounds by taking into account the time stamps and the frequency of the data. The frequency method (below) is what is used when `add_bounds=[\"T\"]` is specified in `open_dataset` or `open_mfdataset`.\n" ] }, { @@ -3688,9 +3688,9 @@ ], "source": [ "# drop time bounds again\n", - "ds5 = ds4.drop_vars('time_bnds')\n", + "ds5 = ds4.drop_vars(\"time_bnds\")\n", "# timestamp / frequency method\n", - "ds5 = ds5.bounds.add_time_bounds(method='freq')\n", + "ds5 = ds5.bounds.add_time_bounds(method=\"freq\")\n", "# print results\n", "ds5.bounds.get_bounds(\"T\")" ] @@ -3700,7 +3700,7 @@ "id": "a9349e5b-f259-44f4-9f37-fdc0ec6dad8c", "metadata": {}, "source": [ - "Note that `ds.bounds.add_time_bounds(method=\"midpoint\")` is the same as `ds.bounds.add_bounds(\"T\")`. The latter method can be used to add bounds to other axes (e.g., latitude) as show below." + "Note that `ds.bounds.add_time_bounds(method=\"midpoint\")` is the same as `ds.bounds.add_bounds(\"T\")`. The latter method can be used to add bounds to other axes (e.g., latitude) as show below.\n" ] }, { @@ -5698,7 +5698,7 @@ "id": "5b4db252-7c06-4783-9543-cd1b3f26bace", "metadata": {}, "source": [ - "Note that `ds.bounds.add_missing_bounds` uses `ds.bounds.add_bounds` for the latitude and longitude axes and defaults to the `frequency` method and `add_time_bounds` for the time axis. If you click on the database symbol for `time_bnds` above, the bounds are slightly mis-aligned because the time axis was not centered before adding the time axis. In this case, the user should call `xcdat.center_times` and then `ds.bounds.add_missing_bounds` (as shown earlier). " + "Note that `ds.bounds.add_missing_bounds` uses `ds.bounds.add_bounds` for the latitude and longitude axes and defaults to the `frequency` method and `add_time_bounds` for the time axis. If you click on the database symbol for `time_bnds` above, the bounds are slightly mis-aligned because the time axis was not centered before adding the time axis. In this case, the user should call `xcdat.center_times` and then `ds.bounds.add_missing_bounds` (as shown earlier).\n" ] }, { @@ -5813,7 +5813,7 @@ "id": "ea49391c-39cf-403f-95ba-7f60032a064b", "metadata": {}, "source": [ - "### Utilities to get the coordinate axis and coordinate axis key" + "### Utilities to get the coordinate axis and coordinate axis key\n" ] }, { diff --git a/docs/examples/spatial-average.ipynb b/docs/examples/spatial-average.ipynb index bc3b15b7..6d1ca986 100644 --- a/docs/examples/spatial-average.ipynb +++ b/docs/examples/spatial-average.ipynb @@ -4,14 +4,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Spatial Averaging\n", - "===============================================================\n", + "# Spatial Averaging\n", "\n", "Authors: [Tom Vo](https://github.com/tomvothecoder/) & [Stephen Po-Chedley](https://github.com/pochedls/)\n", "\n", "Updated: 02/29/24 [xcdat v0.6.1]\n", "\n", - "Related APIs: [xarray.Dataset.spatial.average()](../generated/xarray.Dataset.spatial.average.rst) & [xarray.Dataset.spatial.get_weights()](../generated/xcdat.spatial.SpatialAccessor.rst#xcdat.spatial.SpatialAccessor.get_weights)" + "Related APIs: [xarray.Dataset.spatial.average()](../generated/xarray.Dataset.spatial.average.rst) & [xarray.Dataset.spatial.get_weights()](../generated/xcdat.spatial.SpatialAccessor.rst#xcdat.spatial.SpatialAccessor.get_weights)\n" ] }, { @@ -26,11 +25,11 @@ "\n", "The data used in this example is pulled directly from the [Earth System Grid Federation (ESGF)](https://aims2.llnl.gov/metagrid/search).\n", "\n", - "Users can [install their own instance of xcdat](../getting-started-guide/installation.rst) and follow these examples using their own environment (e.g., with vscode, Jupyter, Spyder, iPython) or [enable xcdat with existing JupyterHub instances](../getting-started-guide/getting-started-hpc-jupyter.rst). The conda environment used in this notebook includes xcdat, xesmf, matplotlib, ipython, ipykernel, and cartopy:\n", + "Users can [install their own instance of xcdat](../getting-started-guide/installation.rst) and follow these examples using their own environment (e.g., with vscode, Jupyter, Spyder, iPython) or [enable xcdat with existing JupyterHub instances](../getting-started-guide/getting-started-hpc-jupyter.rst). The conda environment used in this notebook includes xcdat, xesmf, matplotlib, ipython, ipykernel, cartopy, and jupyter:\n", "\n", "```\n", - "conda create -n xcdat_notebook -c conda-forge xcdat xesmf matplotlib ipython ipykernel cartopy nc-time-axis\n", - "```" + "conda create -n xcdat_notebook -c conda-forge xcdat xesmf matplotlib ipython ipykernel cartopy nc-time-axis jupyter\n", + "```\n" ] }, { @@ -623,7 +622,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 2. Global average" + "## 2. Global average\n" ] }, { @@ -1081,16 +1080,16 @@ "source": [ "# Plot the first 120 time steps\n", "ds_global_avg.tas.isel(time=slice(0, 120)).plot()\n", - "plt.title('Global Average Surface Temperature')\n", - "plt.xlabel('Year')\n", - "plt.ylabel('Near Surface Air Temperature [$^{\\\\circ}$C]')" + "plt.title(\"Global Average Surface Temperature\")\n", + "plt.xlabel(\"Year\")\n", + "plt.ylabel(\"Near Surface Air Temperature [$^{\\\\circ}$C]\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## 3. Tropical average" + "## 3. Tropical average\n" ] }, { @@ -1132,9 +1131,9 @@ "source": [ "# Plot the first 120 time steps\n", "ds_trop_avg.tas.isel(time=slice(0, 120)).plot()\n", - "plt.title('Tropical Average Surface Temperature')\n", - "plt.xlabel('Year')\n", - "plt.ylabel('Near Surface Air Temperature [$^{\\\\circ}$C]')" + "plt.title(\"Tropical Average Surface Temperature\")\n", + "plt.xlabel(\"Year\")\n", + "plt.ylabel(\"Near Surface Air Temperature [$^{\\\\circ}$C]\")" ] }, { @@ -1188,8 +1187,8 @@ "# Plot the first 120 time steps\n", "ds_nino_avg.tas.isel(time=slice(0, 120)).plot()\n", "plt.title(\"Ni$\\\\mathrm{\\\\tilde{n}}$o 3.4 Region Surface Temperature\")\n", - "plt.xlabel('Year')\n", - "plt.ylabel('Near Surface Air Temperature [$^{\\\\circ}$C]')" + "plt.xlabel(\"Year\")\n", + "plt.ylabel(\"Near Surface Air Temperature [$^{\\\\circ}$C]\")" ] }, { @@ -1198,7 +1197,7 @@ "source": [ "## 5. Retain / Inspect Spatial Weights\n", "\n", - "xCDAT can retain the weights used for spatial averaging using `keep_weights=True`. Here we retain and inspect these weights for the Niño 3.4 region. Note that along the edges of the Niño 3.4 box the weights are slightly less (since some grid cells are not fully in the averaging box and thus receive partial weight)." + "xCDAT can retain the weights used for spatial averaging using `keep_weights=True`. Here we retain and inspect these weights for the Niño 3.4 region. Note that along the edges of the Niño 3.4 box the weights are slightly less (since some grid cells are not fully in the averaging box and thus receive partial weight).\n" ] }, { @@ -1208,7 +1207,9 @@ "outputs": [], "source": [ "# recompute the nino 3.4 average, but retain weights\n", - "ds_nino_avg = ds.spatial.average(\"tas\", lat_bounds=(-5, 5), lon_bounds=(190, 240), keep_weights=True)" + "ds_nino_avg = ds.spatial.average(\n", + " \"tas\", lat_bounds=(-5, 5), lon_bounds=(190, 240), keep_weights=True\n", + ")" ] }, { @@ -1239,13 +1240,17 @@ ], "source": [ "# plot the weights\n", - "ax = plt.axes(projection=ccrs.Robinson(central_longitude=180.))\n", - "plt.pcolor(ds_nino_avg.lon, ds_nino_avg.lat, ds_nino_avg.lat_lon_wts.T,\n", - " transform=ccrs.PlateCarree(),\n", - " cmap=plt.cm.Purples)\n", + "ax = plt.axes(projection=ccrs.Robinson(central_longitude=180.0))\n", + "plt.pcolor(\n", + " ds_nino_avg.lon,\n", + " ds_nino_avg.lat,\n", + " ds_nino_avg.lat_lon_wts.T,\n", + " transform=ccrs.PlateCarree(),\n", + " cmap=plt.cm.Purples,\n", + ")\n", "ax.coastlines()\n", - "plt.colorbar(orientation='horizontal')\n", - "plt.title('Nino 3.4 Weights')" + "plt.colorbar(orientation=\"horizontal\")\n", + "plt.title(\"Nino 3.4 Weights\")" ] }, { @@ -1254,9 +1259,9 @@ "source": [ "## 6. Create and apply your own weights\n", "\n", - "Instead of having xcdat generate geospatial weights, you may want to create your own weights. You can pass your own weights into xcdat. Here we show an example of weighting the surface temperature data in the tropics by precipitation. \n", + "Instead of having xcdat generate geospatial weights, you may want to create your own weights. You can pass your own weights into xcdat. Here we show an example of weighting the surface temperature data in the tropics by precipitation.\n", "\n", - "
    Warning: The lat_bounds and lon_bounds args are used when calculating axis weights, but is ignored if weights are supplied.
    " + "
    Warning: The lat_bounds and lon_bounds args are used when calculating axis weights, but is ignored if weights are supplied.
    \n" ] }, { @@ -1281,7 +1286,7 @@ "# and apply a cos(lat) weighting\n", "weights = weights * np.cos(np.radians(ds_pr.lat))\n", "# compute precipitation weighted temperature\n", - "ds_pw = ds.spatial.average('tas', weights=weights)" + "ds_pw = ds.spatial.average(\"tas\", weights=weights)" ] }, { @@ -1303,20 +1308,20 @@ "source": [ "# plot the first timestep of the weights matrix\n", "plt.figure(figsize=(10, 3))\n", - "ax = plt.subplot(1, 2, 1, projection=ccrs.Robinson(central_longitude=180.))\n", - "plt.pcolor(ds_pr.lon, ds_pr.lat, weights[0],\n", - " transform=ccrs.PlateCarree(),\n", - " cmap=plt.cm.Purples)\n", + "ax = plt.subplot(1, 2, 1, projection=ccrs.Robinson(central_longitude=180.0))\n", + "plt.pcolor(\n", + " ds_pr.lon, ds_pr.lat, weights[0], transform=ccrs.PlateCarree(), cmap=plt.cm.Purples\n", + ")\n", "ax.coastlines()\n", - "plt.colorbar(orientation='horizontal', ticks=[0, 0.0001, 0.0002, 0.0003, 0.0004])\n", + "plt.colorbar(orientation=\"horizontal\", ticks=[0, 0.0001, 0.0002, 0.0003, 0.0004])\n", "plt.subplot(1, 2, 2)\n", - "plt.title('Weights (time=')\n", + "plt.title(\"Weights (time=\")\n", "\n", "# plot the first 120 time steps\n", "ds_pw.tas[0:120].plot()\n", "plt.title(\"Precipitation-weighted Tropical Surface Temperature\")\n", - "plt.xlabel('Year')\n", - "plt.ylabel('Near Surface Air Temperature [$^{\\\\circ}$C]')\n", + "plt.xlabel(\"Year\")\n", + "plt.ylabel(\"Near Surface Air Temperature [$^{\\\\circ}$C]\")\n", "plt.tight_layout()" ] }, @@ -1326,7 +1331,7 @@ "source": [ "## 7. Compute a zonal average\n", "\n", - "You do not need to average over both latitude and longitude. Here we show an example in which we take the zonal average (average over all longitude values)." + "You do not need to average over both latitude and longitude. Here we show an example in which we take the zonal average (average over all longitude values).\n" ] }, { @@ -1336,7 +1341,7 @@ "outputs": [], "source": [ "# take zonal average\n", - "ds_zonal = ds.spatial.average('tas', axis=['X'])" + "ds_zonal = ds.spatial.average(\"tas\", axis=[\"X\"])" ] }, { @@ -1370,16 +1375,16 @@ "plt.figure(figsize=(12, 5))\n", "plt.subplot(1, 2, 1)\n", "ds_zonal.tas[0].plot()\n", - "plt.ylabel('Near Surface Air Temperature [$^{\\\\circ}$C]')\n", - "plt.xlabel('Latitude [$^{\\\\circ}$N]')\n", - "plt.title('Zonal Mean Surface Air Temperature (1/1850)')\n", + "plt.ylabel(\"Near Surface Air Temperature [$^{\\\\circ}$C]\")\n", + "plt.xlabel(\"Latitude [$^{\\\\circ}$N]\")\n", + "plt.title(\"Zonal Mean Surface Air Temperature (1/1850)\")\n", "\n", "# plot hovmoller\n", "plt.subplot(1, 2, 2)\n", "ds_zonal.tas.plot()\n", - "plt.xlabel('Latitude [$^{\\\\circ}$N]')\n", - "plt.ylabel('Year')\n", - "plt.title('Zonal Mean Surface Air Temperature')" + "plt.xlabel(\"Latitude [$^{\\\\circ}$N]\")\n", + "plt.ylabel(\"Year\")\n", + "plt.title(\"Zonal Mean Surface Air Temperature\")" ] } ],