{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Xarray Fundamentals" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Xarray data structures\n", "\n", "Like Pandas, xarray has two fundamental data structures:\n", "* a `DataArray`, which holds a single multi-dimensional variable and its coordinates\n", "* a `Dataset`, which holds multiple variables that potentially share the same coordinates\n", "\n", "### DataArray\n", "\n", "A `DataArray` has four essential attributes:\n", "* `values`: a `numpy.ndarray` holding the array’s values\n", "* `dims`: dimension names for each axis (e.g., `('x', 'y', 'z')`)\n", "* `coords`: a dict-like container of arrays (coordinates) that label each point (e.g., 1-dimensional arrays of numbers, datetime objects or strings)\n", "* `attrs`: an `OrderedDict` to hold arbitrary metadata (attributes)\n", "\n", "Let's start by constructing some DataArrays manually " ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "tags": [] }, "outputs": [], "source": [ "import numpy as np\n", "import xarray as xr\n", "from matplotlib import pyplot as plt\n", "%matplotlib inline\n", "plt.rcParams['figure.figsize'] = (8,5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A simple DataArray without dimensions or coordinates isn't much use." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.DataArray (dim_0: 5)>\n",
       "array([9, 0, 2, 1, 0])\n",
       "Dimensions without coordinates: dim_0
" ], "text/plain": [ "\n", "array([9, 0, 2, 1, 0])\n", "Dimensions without coordinates: dim_0" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "da = xr.DataArray([9, 0, 2, 1, 0])\n", "da" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can add a dimension name..." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.DataArray (x: 5)>\n",
       "array([9, 0, 2, 1, 0])\n",
       "Dimensions without coordinates: x
" ], "text/plain": [ "\n", "array([9, 0, 2, 1, 0])\n", "Dimensions without coordinates: x" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "da = xr.DataArray([9, 0, 2, 1, 0], dims=['x'])\n", "da" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "But things get most interesting when we add a coordinate:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.DataArray (x: 5)>\n",
       "array([9, 0, 2, 1, 0])\n",
       "Coordinates:\n",
       "  * x        (x) int64 10 20 30 40 50
" ], "text/plain": [ "\n", "array([9, 0, 2, 1, 0])\n", "Coordinates:\n", " * x (x) int64 10 20 30 40 50" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "da = xr.DataArray([9, 0, 2, 1, 0],\n", " dims=['x'],\n", " coords={'x': [10, 20, 30, 40, 50]})\n", "da" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This coordinate has been used to create an _index_, which works very similar to a Pandas index.\n", "In fact, under the hood, Xarray just reuses Pandas indexes." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Indexes:\n", " x Int64Index([10, 20, 30, 40, 50], dtype='int64', name='x')" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "da.indexes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Xarray has built-in plotting, like pandas." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "da.plot(marker='o')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Multidimensional DataArray\n", "\n", "If we are just dealing with 1D data, Pandas and Xarray have very similar capabilities. Xarray's real potential comes with multidimensional data.\n", "\n", "Let's go back to the multidimensional ARGO data we loaded in the numpy lesson." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['/home/jovyan/.cache/pooch/7e6685dbe2a3c0b0870f770f3ef413d9-float_data_4901412.zip.unzip/float_data/P.npy',\n", " '/home/jovyan/.cache/pooch/7e6685dbe2a3c0b0870f770f3ef413d9-float_data_4901412.zip.unzip/float_data/S.npy',\n", " '/home/jovyan/.cache/pooch/7e6685dbe2a3c0b0870f770f3ef413d9-float_data_4901412.zip.unzip/float_data/T.npy',\n", " '/home/jovyan/.cache/pooch/7e6685dbe2a3c0b0870f770f3ef413d9-float_data_4901412.zip.unzip/float_data/date.npy',\n", " '/home/jovyan/.cache/pooch/7e6685dbe2a3c0b0870f770f3ef413d9-float_data_4901412.zip.unzip/float_data/lat.npy',\n", " '/home/jovyan/.cache/pooch/7e6685dbe2a3c0b0870f770f3ef413d9-float_data_4901412.zip.unzip/float_data/levels.npy',\n", " '/home/jovyan/.cache/pooch/7e6685dbe2a3c0b0870f770f3ef413d9-float_data_4901412.zip.unzip/float_data/lon.npy']" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pooch\n", "url = \"https://www.ldeo.columbia.edu/~rpa/float_data_4901412.zip\"\n", "files = pooch.retrieve(url, processor=pooch.Unzip(), known_hash=\"2a703c720302c682f1662181d329c9f22f9f10e1539dc2d6082160a469165009\")\n", "files.sort()\n", "files" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will manually load each of these variables into a numpy array.\n", "If this seems repetitive and inefficient, that's the point!\n", "NumPy itself is not meant for managing groups of inter-related arrays.\n", "That's what Xarray is for!" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "P = np.load(files[0])\n", "S = np.load(files[1])\n", "T = np.load(files[2])\n", "date = np.load(files[3])\n", "lat = np.load(files[4])\n", "levels = np.load(files[5])\n", "lon = np.load(files[6])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's organize the data and coordinates of the salinity variable into a DataArray." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.DataArray (level: 78, date: 75)>\n",
       "array([[35.6389389 , 35.51495743, 35.57297134, ..., 35.82093811,\n",
       "        35.77793884, 35.66891098],\n",
       "       [35.63393784, 35.5219574 , 35.57397079, ..., 35.81093216,\n",
       "        35.58389664, 35.66791153],\n",
       "       [35.6819458 , 35.52595901, 35.57297134, ..., 35.79592896,\n",
       "        35.66290665, 35.66591263],\n",
       "       ...,\n",
       "       [34.91585922, 34.92390442, 34.92390442, ..., 34.93481064,\n",
       "        34.94081116, 34.94680786],\n",
       "       [34.91585922, 34.92390442, 34.92190552, ..., 34.93280792,\n",
       "        34.93680954, 34.94380951],\n",
       "       [34.91785812, 34.92390442, 34.92390442, ...,         nan,\n",
       "        34.93680954,         nan]])\n",
       "Coordinates:\n",
       "  * level    (level) int64 0 1 2 3 4 5 6 7 8 9 ... 68 69 70 71 72 73 74 75 76 77\n",
       "  * date     (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...
" ], "text/plain": [ "\n", "array([[35.6389389 , 35.51495743, 35.57297134, ..., 35.82093811,\n", " 35.77793884, 35.66891098],\n", " [35.63393784, 35.5219574 , 35.57397079, ..., 35.81093216,\n", " 35.58389664, 35.66791153],\n", " [35.6819458 , 35.52595901, 35.57297134, ..., 35.79592896,\n", " 35.66290665, 35.66591263],\n", " ...,\n", " [34.91585922, 34.92390442, 34.92390442, ..., 34.93481064,\n", " 34.94081116, 34.94680786],\n", " [34.91585922, 34.92390442, 34.92190552, ..., 34.93280792,\n", " 34.93680954, 34.94380951],\n", " [34.91785812, 34.92390442, 34.92390442, ..., nan,\n", " 34.93680954, nan]])\n", "Coordinates:\n", " * level (level) int64 0 1 2 3 4 5 6 7 8 9 ... 68 69 70 71 72 73 74 75 76 77\n", " * date (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T..." ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "da_salinity = xr.DataArray(S, dims=['level', 'date'],\n", " coords={'level': levels,\n", " 'date': date},)\n", "da_salinity" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "da_salinity.plot(yincrease=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Attributes can be used to store metadata. What metadata should you store? The [CF Conventions](http://cfconventions.org/Data/cf-conventions/cf-conventions-1.7/cf-conventions.html#_description_of_the_data) are a great resource for thinking about climate metadata. Below we define two of the required CF-conventions attributes." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.DataArray (level: 78, date: 75)>\n",
       "array([[35.6389389 , 35.51495743, 35.57297134, ..., 35.82093811,\n",
       "        35.77793884, 35.66891098],\n",
       "       [35.63393784, 35.5219574 , 35.57397079, ..., 35.81093216,\n",
       "        35.58389664, 35.66791153],\n",
       "       [35.6819458 , 35.52595901, 35.57297134, ..., 35.79592896,\n",
       "        35.66290665, 35.66591263],\n",
       "       ...,\n",
       "       [34.91585922, 34.92390442, 34.92390442, ..., 34.93481064,\n",
       "        34.94081116, 34.94680786],\n",
       "       [34.91585922, 34.92390442, 34.92190552, ..., 34.93280792,\n",
       "        34.93680954, 34.94380951],\n",
       "       [34.91785812, 34.92390442, 34.92390442, ...,         nan,\n",
       "        34.93680954,         nan]])\n",
       "Coordinates:\n",
       "  * level    (level) int64 0 1 2 3 4 5 6 7 8 9 ... 68 69 70 71 72 73 74 75 76 77\n",
       "  * date     (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...\n",
       "Attributes:\n",
       "    units:          PSU\n",
       "    standard_name:  sea_water_salinity
" ], "text/plain": [ "\n", "array([[35.6389389 , 35.51495743, 35.57297134, ..., 35.82093811,\n", " 35.77793884, 35.66891098],\n", " [35.63393784, 35.5219574 , 35.57397079, ..., 35.81093216,\n", " 35.58389664, 35.66791153],\n", " [35.6819458 , 35.52595901, 35.57297134, ..., 35.79592896,\n", " 35.66290665, 35.66591263],\n", " ...,\n", " [34.91585922, 34.92390442, 34.92390442, ..., 34.93481064,\n", " 34.94081116, 34.94680786],\n", " [34.91585922, 34.92390442, 34.92190552, ..., 34.93280792,\n", " 34.93680954, 34.94380951],\n", " [34.91785812, 34.92390442, 34.92390442, ..., nan,\n", " 34.93680954, nan]])\n", "Coordinates:\n", " * level (level) int64 0 1 2 3 4 5 6 7 8 9 ... 68 69 70 71 72 73 74 75 76 77\n", " * date (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...\n", "Attributes:\n", " units: PSU\n", " standard_name: sea_water_salinity" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "da_salinity.attrs['units'] = 'PSU'\n", "da_salinity.attrs['standard_name'] = 'sea_water_salinity'\n", "da_salinity" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now if we plot the data again, the name and units are automatically attached to the figure." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "da_salinity.plot()" ] }, { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "### Datasets\n", "\n", "A Dataset holds many DataArrays which potentially can share coordinates. In analogy to pandas:\n", "\n", " pandas.Series : pandas.Dataframe :: xarray.DataArray : xarray.Dataset\n", " \n", "Constructing Datasets manually is a bit more involved in terms of syntax. The Dataset constructor takes three arguments:\n", "\n", "* `data_vars` should be a dictionary with each key as the name of the variable and each value as one of:\n", " * A `DataArray` or Variable\n", " * A tuple of the form `(dims, data[, attrs])`, which is converted into arguments for Variable\n", " * A pandas object, which is converted into a `DataArray`\n", " * A 1D array or list, which is interpreted as values for a one dimensional coordinate variable along the same dimension as it’s name\n", "* `coords` should be a dictionary of the same form as data_vars.\n", "* `attrs` should be a dictionary.\n", "\n", "Let's put together a Dataset with temperature, salinity and pressure all together" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset>\n",
       "Dimensions:      (level: 78, date: 75)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 35.64 35.51 35.57 35.4 ... nan 34.94 nan\n",
       "    temperature  (level, date) float64 18.97 18.44 19.1 19.79 ... nan 3.714 nan\n",
       "    pressure     (level, date) float64 6.8 6.1 6.5 5.0 ... 2e+03 nan 2e+03 nan
" ], "text/plain": [ "\n", "Dimensions: (level: 78, date: 75)\n", "Coordinates:\n", " * level (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n", " * date (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n", "Data variables:\n", " salinity (level, date) float64 35.64 35.51 35.57 35.4 ... nan 34.94 nan\n", " temperature (level, date) float64 18.97 18.44 19.1 19.79 ... nan 3.714 nan\n", " pressure (level, date) float64 6.8 6.1 6.5 5.0 ... 2e+03 nan 2e+03 nan" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "argo = xr.Dataset(\n", " data_vars={\n", " 'salinity': (('level', 'date'), S),\n", " 'temperature': (('level', 'date'), T),\n", " 'pressure': (('level', 'date'), P)\n", " },\n", " coords={\n", " 'level': levels,\n", " 'date': date\n", " }\n", ")\n", "argo" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "What about lon and lat? We forgot them in the creation process, but we can add them after the fact." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset>\n",
       "Dimensions:      (level: 78, date: 75, lon: 75)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n",
       "  * lon          (lon) float64 -39.13 -37.28 -36.9 ... -33.83 -34.11 -34.38\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 35.64 35.51 35.57 35.4 ... nan 34.94 nan\n",
       "    temperature  (level, date) float64 18.97 18.44 19.1 19.79 ... nan 3.714 nan\n",
       "    pressure     (level, date) float64 6.8 6.1 6.5 5.0 ... 2e+03 nan 2e+03 nan
" ], "text/plain": [ "\n", "Dimensions: (level: 78, date: 75, lon: 75)\n", "Coordinates:\n", " * level (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n", " * date (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n", " * lon (lon) float64 -39.13 -37.28 -36.9 ... -33.83 -34.11 -34.38\n", "Data variables:\n", " salinity (level, date) float64 35.64 35.51 35.57 35.4 ... nan 34.94 nan\n", " temperature (level, date) float64 18.97 18.44 19.1 19.79 ... nan 3.714 nan\n", " pressure (level, date) float64 6.8 6.1 6.5 5.0 ... 2e+03 nan 2e+03 nan" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "argo.coords['lon'] = lon\n", "argo" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "That was not quite right...we want lon to have dimension `date`:" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset>\n",
       "Dimensions:      (level: 78, date: 75)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n",
       "    lon          (date) float64 -39.13 -37.28 -36.9 ... -33.83 -34.11 -34.38\n",
       "    lat          (date) float64 47.19 46.72 46.45 46.23 ... 42.6 42.46 42.38\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 35.64 35.51 35.57 35.4 ... nan 34.94 nan\n",
       "    temperature  (level, date) float64 18.97 18.44 19.1 19.79 ... nan 3.714 nan\n",
       "    pressure     (level, date) float64 6.8 6.1 6.5 5.0 ... 2e+03 nan 2e+03 nan
" ], "text/plain": [ "\n", "Dimensions: (level: 78, date: 75)\n", "Coordinates:\n", " * level (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n", " * date (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n", " lon (date) float64 -39.13 -37.28 -36.9 ... -33.83 -34.11 -34.38\n", " lat (date) float64 47.19 46.72 46.45 46.23 ... 42.6 42.46 42.38\n", "Data variables:\n", " salinity (level, date) float64 35.64 35.51 35.57 35.4 ... nan 34.94 nan\n", " temperature (level, date) float64 18.97 18.44 19.1 19.79 ... nan 3.714 nan\n", " pressure (level, date) float64 6.8 6.1 6.5 5.0 ... 2e+03 nan 2e+03 nan" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "del argo['lon']\n", "argo.coords['lon'] = ('date', lon)\n", "argo.coords['lat'] = ('date', lat)\n", "argo" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Coordinates vs. Data Variables\n", "\n", "Data variables can be modified through arithmentic operations or other functions. Coordinates are always keept the same." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset>\n",
       "Dimensions:      (level: 78, date: 75)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n",
       "    lon          (date) float64 -39.13 -37.28 -36.9 ... -33.83 -34.11 -34.38\n",
       "    lat          (date) float64 47.19 46.72 46.45 46.23 ... 42.6 42.46 42.38\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 3.564e+05 3.551e+05 ... 3.494e+05 nan\n",
       "    temperature  (level, date) float64 1.897e+05 1.844e+05 ... 3.714e+04 nan\n",
       "    pressure     (level, date) float64 6.8e+04 6.1e+04 6.5e+04 ... nan 2e+07 nan
" ], "text/plain": [ "\n", "Dimensions: (level: 78, date: 75)\n", "Coordinates:\n", " * level (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n", " * date (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n", " lon (date) float64 -39.13 -37.28 -36.9 ... -33.83 -34.11 -34.38\n", " lat (date) float64 47.19 46.72 46.45 46.23 ... 42.6 42.46 42.38\n", "Data variables:\n", " salinity (level, date) float64 3.564e+05 3.551e+05 ... 3.494e+05 nan\n", " temperature (level, date) float64 1.897e+05 1.844e+05 ... 3.714e+04 nan\n", " pressure (level, date) float64 6.8e+04 6.1e+04 6.5e+04 ... nan 2e+07 nan" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "argo * 10000" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Clearly lon and lat are coordinates rather than data variables. We can change their status as follows:" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset>\n",
       "Dimensions:      (level: 78, date: 75)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n",
       "    lon          (date) float64 -39.13 -37.28 -36.9 ... -33.83 -34.11 -34.38\n",
       "    lat          (date) float64 47.19 46.72 46.45 46.23 ... 42.6 42.46 42.38\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 35.64 35.51 35.57 35.4 ... nan 34.94 nan\n",
       "    temperature  (level, date) float64 18.97 18.44 19.1 19.79 ... nan 3.714 nan\n",
       "    pressure     (level, date) float64 6.8 6.1 6.5 5.0 ... 2e+03 nan 2e+03 nan
" ], "text/plain": [ "\n", "Dimensions: (level: 78, date: 75)\n", "Coordinates:\n", " * level (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n", " * date (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n", " lon (date) float64 -39.13 -37.28 -36.9 ... -33.83 -34.11 -34.38\n", " lat (date) float64 47.19 46.72 46.45 46.23 ... 42.6 42.46 42.38\n", "Data variables:\n", " salinity (level, date) float64 35.64 35.51 35.57 35.4 ... nan 34.94 nan\n", " temperature (level, date) float64 18.97 18.44 19.1 19.79 ... nan 3.714 nan\n", " pressure (level, date) float64 6.8 6.1 6.5 5.0 ... 2e+03 nan 2e+03 nan" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "argo = argo.set_coords(['lon', 'lat'])\n", "argo" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `*` symbol in the representation above indicates that `level` and `date` are \"dimension coordinates\" (they describe the coordinates associated with data variable axes) while `lon` and `lat` are \"non-dimension coordinates\". We can make any variable a non-dimension coordiante.\n", "\n", "Alternatively, we could have assigned directly to coords as follows:" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "argo.coords['lon'] = ('date', lon)\n", "argo.coords['lat'] = ('date', lat)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Selecting Data (Indexing)\n", "\n", "We can always use regular numpy indexing and slicing on DataArrays" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.DataArray 'salinity' (date: 75)>\n",
       "array([35.6819458 , 35.52595901, 35.57297134, 35.40494537, 35.45091629,\n",
       "       35.50192261, 35.62397766, 35.51696014, 35.62797546, 35.52292252,\n",
       "       35.47383118, 35.33785629, 35.81896591, 35.88694   , 35.90187836,\n",
       "       36.02391815, 36.00475693, 35.94187927, 35.91583252, 35.86392212,\n",
       "       35.81995392, 35.88601303, 35.95079422, 35.84091568, 35.87992477,\n",
       "               nan, 35.92179108, 35.96979141, 36.0008316 , 35.98083115,\n",
       "       35.92887878, 35.98091888, 35.9838829 , 36.01884842, 35.99092484,\n",
       "       36.04689026, 36.04185867,         nan, 36.19193268, 36.22789764,\n",
       "       36.20986557, 35.97589874, 36.2779007 , 36.25889969, 36.2418251 ,\n",
       "       36.23685837, 36.19781876, 36.19785309, 36.17692184, 36.1048851 ,\n",
       "       36.11392212, 36.09080505,         nan, 36.05675888, 35.93374634,\n",
       "       36.04291534, 36.10183716, 35.97779083, 35.86592102, 35.87791824,\n",
       "       35.88392258, 35.92078781, 35.88601303, 36.05178833, 35.85883713,\n",
       "       35.94878769, 35.8938446 , 35.94379425, 35.90884018, 35.84893036,\n",
       "       35.83496857, 35.71691132, 35.79592896, 35.66290665, 35.66591263])\n",
       "Coordinates:\n",
       "    level    int64 2\n",
       "  * date     (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...\n",
       "    lon      (date) float64 -39.13 -37.28 -36.9 -36.89 ... -33.83 -34.11 -34.38\n",
       "    lat      (date) float64 47.19 46.72 46.45 46.23 ... 42.72 42.6 42.46 42.38
" ], "text/plain": [ "\n", "array([35.6819458 , 35.52595901, 35.57297134, 35.40494537, 35.45091629,\n", " 35.50192261, 35.62397766, 35.51696014, 35.62797546, 35.52292252,\n", " 35.47383118, 35.33785629, 35.81896591, 35.88694 , 35.90187836,\n", " 36.02391815, 36.00475693, 35.94187927, 35.91583252, 35.86392212,\n", " 35.81995392, 35.88601303, 35.95079422, 35.84091568, 35.87992477,\n", " nan, 35.92179108, 35.96979141, 36.0008316 , 35.98083115,\n", " 35.92887878, 35.98091888, 35.9838829 , 36.01884842, 35.99092484,\n", " 36.04689026, 36.04185867, nan, 36.19193268, 36.22789764,\n", " 36.20986557, 35.97589874, 36.2779007 , 36.25889969, 36.2418251 ,\n", " 36.23685837, 36.19781876, 36.19785309, 36.17692184, 36.1048851 ,\n", " 36.11392212, 36.09080505, nan, 36.05675888, 35.93374634,\n", " 36.04291534, 36.10183716, 35.97779083, 35.86592102, 35.87791824,\n", " 35.88392258, 35.92078781, 35.88601303, 36.05178833, 35.85883713,\n", " 35.94878769, 35.8938446 , 35.94379425, 35.90884018, 35.84893036,\n", " 35.83496857, 35.71691132, 35.79592896, 35.66290665, 35.66591263])\n", "Coordinates:\n", " level int64 2\n", " * date (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...\n", " lon (date) float64 -39.13 -37.28 -36.9 -36.89 ... -33.83 -34.11 -34.38\n", " lat (date) float64 47.19 46.72 46.45 46.23 ... 42.72 42.6 42.46 42.38" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "argo.salinity[2]" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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bsvHs10fafeyc4Yn469whHZZ2EJF7c3ngzcjIwL59+1BZWYlVq1Zh4cKF+PHHHxEeHg4AmDVrFh566CEAwNChQ7Flyxa89dZbNgXel156Cf/973+RlZXVbt3vkiVL8PDDD1v+XV1djeTktjdqEBF5my/3n8PBc1UI1qjw+yvT7XquXNJQ7iErvABw52W9sC2nHKfL6iy3SeZMK0fb4hot/rfnHNRK08EbLH0g8lwuD7xqtRppaWkAgJEjR2Lnzp14/fXX8cYbb0ClUiEzM7PV4/v3749ffvmlw9d9+eWX8eKLL2LTpk0YPHhwu4/VaDTQaDSdfxNERB6sQWfAS+tNvWnvm9zHsmJrq86s8Lo68AZpVPjv3aPbfczX+wvw4Iq9WLEzH2qVAs9dOwCSxNBL5IncpoZXJoSAVquFWq3GJZdcguPHWzcIz87ORmpqaruv8de//hXPP/881q9fj5EjRzpzuEREHu9kSS20eiMSwwMsB0rYI6ozK7zmTWvhAWq7v153mTmkB/46dwgkCfhw6xm8+M1RtjIj8lAuXeF9/PHHcdVVVyE5ORk1NTVYsWIFsrKysH79egDAo48+ivnz52PChAmYPHky1q9fj6+//hpZWVmW11iwYAESExOxdOlSAKYyhqeeegqffvopevbsiaKiIgBAcHAwgoODu/09EhG5u0FJYch6dBLyyuvh76e0+/meuMJrq+tHJEGrN+Lx1Qfx759Pw99PiT9MzXD1sIjITi4NvMXFxbjttttQWFiIsLAwDB48GOvXr8eUKVMAANdddx3eeustLF26FA888AAyMjKwatUqjB8/3vIaeXl5UCiaF6rffPNN6HQ6zJ07t9XXeuaZZ/Dss892y/siIvI0of5+GJgY1qnnyiu8FfU6GIzCpg1enhJ4AeDmUSnQ6g147usjeOOHk9CoFPjd5X1dPSwisoNLA++7777b4WNuv/123H777W3e33K1FwByc3O7OCoiIrJHZKAakgQIAVTU6RAT0n4NsFZvQEOTAYBrujR0xm/G9YJOb8TSb4/h5Y3Z8PdT4s7L2u8LT0Tuw+1qeImIyLOolApEBJrreOs6LmuQV3clCQjRuHzvtM1+O7EPHjJ3sPjzuqP4aGuuawdERDZj4CUioi6znLZW0/HGtWpz4A319/O4Vl8PXJGG+yb1AQA8+/URu45TJiLXYeAlIqIuiwoylTHYssJbKXdo8JByhpYkScKj0zIwJCkMBqNA1vESVw+JiGzAwEtERF0Wba7bLa2xvaTBEzasWSNJEib3iwUAZB0vdfFoiMgWDLxERNRlUUFyDW/HJQ2eHngBYFKGKfD+cqIMTQaji0dDRB1h4CUioi6TOzOU2bDCK5c0eHLgHZwYhqggNWq0euw+c97VwyGiDjDwEhFRl/naCq9CIWFCegwAljUQeQIGXiIi6jJ7TlvzhsALAJMy5MDLjWtE7o6Bl4iIukw+ba281vYVXk/s0tDShL4xkCTgWFENCqsaXD0cImoHAy8REXWZvMJbWquFEKLdx3rLCm9EkBpDk8MBAD+yrIHIrTHwEhFRl8mBV6c3olarb/ex3hJ4AWBSuqlbw2aWNRC5NQZeIiLqsgC1EkFqJQCgrIOyhsp60/1hAWqnj8vZJvcz1fH+erIcOj3bkxG5KwZeIiJyiCjzKm95BxvXqhpMK8DesMI7sEcYooPVqNXqsetMhauHQ0RtYOAlIiKHiDZvXGuvU4MQAtVySYOHb1oDzO3J+ppWeVnHS+S+GHiJiMghoiytydouaWhoMkBnPpks3AtWeAFgEo8ZJnJ7DLxEROQQtvTilTesqRQSAs01v55uQt9oKCTgeHENCirZnozIHTHwEhGRQ0Tb0Iu3ZYcGSZK6ZVzOFh7Y3J6Mq7xE7omBl4iIHMKWFd7Keu+p321pcoZc1sD2ZETuiIGXiIgcwpbT1rypB29Lk8yB99eTZWxPRuSGGHiJiMgh7Knh9bbAO6BHKKKDNajTGbArl+3JiNwNAy8RETmELW3JqswlDd7SoUGmUEiYmG5qT8ZT14jcDwMvERE5hLzCW92oh1ZvsPoYb13hBYBJGabAy41rRO6HgZeIiBwi1N8PKoWp80JFnfU6Xm8OvBP6xkAhASdKanH2fL2rh0NELTDwEhGRQygUkmXjWlmN9cBbaTllTd1t4+ouYYF+GJ4SAYCrvETuhoGXiIgcJirIvHGtznodrzev8ALtlzUIIbDjdAV++9EuTPzrZuw4zc1tRN2FgZeIiBwmOsQceGt8NfCa2pNtOVVmqWNuMhixZu85XPuPX3HD21ux4XAxzpTX464Pd+FkSa0rh0vkM1SuHgAREXmP6CBzL962anjrTbeHe9nBE7IBPUIRE6JBaY0Wm46U4ExFHT7ccgZF1Y0AAI1KgTnDE3G0sAb78iux6L0dWH3fOMSYf1EgIudg4CUiIofx9RVeSTK1J1u5+ywWf7rHcntMiAYLRqfi5lEpiArWoLxWiznLt+BMeT3u/GAn/nv3aASq+SOZyFlY0kBERA4T1c4KrxAC1Y16AN4beAFgSmac5e/9E0Lx8rwh+OVPk3H/FX0RZW7dFhWswXuLLkFEoB/2n63CA//dB4NRuGrINjl4tgq7z5x39TCIOoW/ThIRkcO0d9parVZvCXXeHHinZsbh9RuHIjbEH6N7R0KSJKuP6x0TjHcWjsRN/96OTUeL8fzaI3hmZmabj3elynodbnh7KwQEti+5EmFeWpJC3osrvERE5DCWtmS1F6/wVppPWdOoFPD3U3bruLqTJEmYNTQRY/pEdRheR6RG4m83DAUAvL8lF+/+crobRmi/bw4WoaHJgMYmI7JLalw9HCK7MfASEZHDtLfC6+31u5119eAEPD6jHwDghW+O4tuDhS4e0cW+3HfO8nd2liBPxMBLREQOIwfeijodjBfUpFabA6+3dmjoirsu643bRqdCCOD3n+1zq1rZgsoG7Mht7hl8opiBlzwPAy8RETlMpHnTmsEoLKeqySq5wtsmSZLwzMxMXNk/Flq9EXd9uAvF5lZmrrb2QAGEAMynRuNkKQMveR4GXiIichi1SmEJtOUXlDWwpKF9KqUCf79pGAYnheHWUSmIdZPevF/uKwAAzB6aCAA4WcwaXvI8DLxERORQ8sa10jYDr7rbx+QpAtUqfHHPGDw8NcMtujWcLKnB4YJqqBQSHriiLwCgoKoRtVq9i0dGZB8GXiIicii5jrf8gk4NcpcGrvC2T6Nynw4W8uruxPQY9IwOsvx/e4ob18jDMPASEZFDRVtak7GkwZMJISyB99qhPQAAfWODAQAnGHjJwzDwEhGRQ7W1wssuDZ5lX34l8irqEeCntJwel2YOvGxNRp6GgZeIiBwqKsh6L97KBlMA5gqvZ5BXd6cOiEOg2nQwa984OfBy4xp5FgZeIiJyqOgQ66etsaTBc+gNRqw9YDoAQ+7OAABpMVzhJc/EwEtERA7V1gqvJfCypMHtbc0pR1mtFhGBfhjfN9pye5p5hTevoh6NTQZXDY/Ibgy8RETkUDHmFd7yugtKGtilwWPI5QxXD06An7I5KsQEaxAW4AejAHJK61w1PCK7MfASEZFDWVZ4a5pLGgxGgZpGU+9WBl731thkwPpDRQCAWS3KGQDTiXCWjWs8cY08CAMvERE5VLT5hLCGJgPqdaaQW9PYfMwwA697++FYCWq1eiSGB2BESsRF98utyXjiGnkSBl4iInKoILUSGpXpx4u8yiuXMwSpla0+IifHqdPq8cTqg7jpX9tgMIpOv86X+84BAGYO6QGF4uLT3rjCS56IVx0iInIoSZIsvXjLzHW87NDgfP5+SqzcfRZbc8qRV1HfqdeoamjC5mOlAIBZ5sMmLiQH3hPFDLzkORh4iYjI4SynrdVcEHgD1S4bk7dTKiRLn9zsTpYbbDhUBJ3BiPS4YPSLD7H6GDnw5pbXoclg7Nxg3cSKHXm484NdaNCx44S3Y+AlIiKHs5y2VmcuabCs8KpcNiZfkB5rCqnZRZ0LvF/uN5UzzBqaCEm6uJwBAHqEBSBQrUSTQeBMeedWkt3FP7NOYtPRYmzNKXP1UMjJeOUhIvIABqPAgv9sx8mSWoxMjcSlvUx/MuJCrNZZulpUWyu8LGlwqr5x5sDbiYMhSqobseVUOQDg2iHWyxkAQKEwdWo4cLYKJ0tqLCu+nsZgFCisbAQAFFY1ung05GwMvEREHmDrqXL8etIURtYdLMS6g6ZTsEL9VZbwe2mvKAzoEeoWm8IuXOGtNgfe8ACWNDhTepxcX2v/Cu/XBwohBDAiNQLJkYHtPjYtRg68nlvHW1zdCL15c18RA6/XY+AlIvIAa8w756dmxmFIcji2n67A7twKVDfqseloCTYdLQEAJEUE4Oc/Tm7z4+juEmUOvKXm09Yq603Bl6esOVe6eYU3p7QOeoMRKjt++dl0pBgAMHNwQoePlU9cO+HBgfdcZYPl7wy83o+Bl4jIzTXomg8CuHtCb4zsGYnFkwG9wYgjhdXYcboC209XYGduBQb2CHN52AWaN62V17KkoTslhpvqa+t1BuSW19tcbiCEwOGCKgDAJb0iO3x8Woy5NZknB97zLQJvNQOvt2PgJSJyc5uOFqNWq0dSRABGpDYfBKBSKjA4KRyDk8Jx52W9YTQK1Gj1LhxpM0tbslrTyi4Db/dQKCT0jQ3G/rNVyC62vb62oKoR1Y16+Ckl9I213p2hJblW+GRJLQxGAaUb1pF3hCu8vsX1hV5ERNSuNXtN5QzXDWt75zxgCjvuEigtNbyWkgYG3u5i2bhmRx3vkYJqAECfmGCoVR1Hg+SIAKiVCmj1xlYrpZ7k7HkGXl/CwEtE5MbKa7X4MVs+CCDRxaOxndyl4Xx9E5oMRq7wdqPmjWu2lxscLTQF3syEUJser1Iq0DsmCABwstQzjxhuucJbo9Wj1k0+HSHnYOAlInJj6w4WQm8UGJQY5lHtnyIC1ZA/5T5fp2vu0sBNa06X3okVXkvg7WFb4AU8/8S1c+db9xDmKq93Y+AlchCjUWDtgQKcPe/ZjdjJvaw2lzPMHuY5q7uA6dSvyCDTKm9prbbFwRMMvM4mB97TZXXQ6W07Ce2IOfD2t3GFF2gOvJ64cU0IYVnhDfBTAjC1KSPvxcBL5CCbj5fgd5/uxTVv/IK9eeddPRzyArllddibVwmFBMwc0nGrKHcj1/EWVzei3nx0KwOv8yWE+SNEo4LeKJBbXtfh42u1esuJafYEXnlzmye2Jiuv06GxyfTLwOCkMAA8fMLbMfASOciBs6aWPpX1Tbjlne34+USpi0dE7sZgFHj/19PYY+MvRHLv3fF9YxAb4u/MoTmFXMd7qsQUuiQJCPFn4HU2SZIsfXKP23DE8PEi0+pufKi/ZVXeFvIK76mSWgghOjFS15E32sWGaJBiPmSDK7zejYGXyEHkj/VC/FWo1xlw+/s7se5AoYtHRe7k/S25ePbrI7jtne04Xdb+ypsQokV3hraPeXVn8grvqVLzfxsalUe2r/JE6fLqqw11vHKHhv4JHbcja6lndCCUCgk1Wj2Kq7X2D9KF5HKGpIgAxIeZfpksrPLMbhNkGwZeIgeRN4i8Mm8Irh6UgCaDwO/+uwefbs9z8cjIHZTXavHapmwAQJ3OgN99ugeNTYY2H78vvxK55fUI8FNiamZ8dw3ToaKCTIE3p9QU7nnKWvdJj5c3rnVcbnCk0HTtsqecAQA0KiVSzaujJ0o8q1ODvMKbGBFoCbzctObdGHiJHKDJYLSs2A1IDMPfbxqGm0elQAjg8dUH8c/NJz3uIz9yrFe/y0ZNox59Y4MRGaTG4YJqvPjN0TYf/+W+AgDAtAFxCNJ45hlB0SHmkgbzCm94gO0fl1PXyK3Jsm0Iop3p0CDz1I1r8gpvYngA4kPNgZclDV6NgZfIAc6U10FvFAhSK9EjzB9KhYQXZg/E4sl9AAB/3XAcL6w7CqORodcXHS2sxn93mFb6n589EK/eMAQA8OHWM/jm4MVlL00GI77ebwq8ntadoaVo8wpveZ3ptDVuWOs+cqeGM+X10Orb/iTBYBQ4VmR/hwZZX7nnr4cF3rOWFd4ArvD6CJcG3uXLl2Pw4MEIDQ1FaGgoxowZg2+//bbVY44ePYprr70WYWFhCAkJwejRo5GX1/5HxKtWrUJmZiY0Gg0yMzOxevVqZ74NIksfyrTYYMtJWJIk4dFp/fDk1f0BAO/8chqPrjwAvcG2NkHkHYQQ+L+vj8AogKsHJWB07yhMyojFPRNNvwz9aeUB5JW3bmX3y4kylNfpEB2sxvi0aFcM2yHkFV4ZA2/3iQ3RINRfBYNRWEpKrMktr0NjkxH+fgr0jAqy++t4+gpvUngAEsICAJiOwba1jRt5HpcG3qSkJCxbtgy7du3Crl27cPnll2PWrFk4fPgwAODUqVMYP348+vXrh6ysLOzfvx9PPfUU/P3b3q28detWzJ8/H7fddhv279+P2267DTfccAO2b9/eXW+LfFC2JfBevOnjzst64+V5Q6BUSFi15yw+2namu4dHLrThcBG25pRDrVLgsav6WW7/w9R0jEiNQI1Wj9/9d0+rVTi59+41g3tApfTcD+LkGl4Za3i7jyRJNh1AIZczZMSHdmpDodyazNMCr9wvPTEiABGBfpbjlNmpwXu59Eo6c+ZMzJgxA+np6UhPT8cLL7yA4OBgbNu2DQDwxBNPYMaMGXjppZcwbNgw9O7dG1dffTViY2PbfM3XXnsNU6ZMwZIlS9CvXz8sWbIEV1xxBV577bVuelfki+QNG3Ld3IXmjkjCn6ZnAIDlo2pynvN1Ovz2o13423fZLi0jaWwy4AVzne5vJ/RGsnmDDwD4KRX4+03DEBbghwNnq/CXb48DMPVE3XikCABwnQeXMwBAdMgFgZcrvN2qeeNa24FX7tBg65HCF5KPF66o06G81jM6NVQ3NqGm0XSMcGJ4ACRJstTxMvB6L7dZOjAYDFixYgXq6uowZswYGI1GrFu3Dunp6Zg2bRpiY2MxatQorFmzpt3X2bp1K6ZOndrqtmnTpmHLli1tPker1aK6urrVHyJ7yKsbfdsIvAAwa6gpvOzJq+RF1cme+eowNhwuxuvfn8CTXx5yWeh995fTyK9oQHyoP+6d1Oei+xPDA/DKPFM9739+PY2Nh4uw4VARGpuM6B0dZGmI76migljS4Erp5nKD9jo1WDas2dmSTBaoViEpwlQS4CmrvHKHhvBAP8uGUDnw8vAJ7+XywHvw4EEEBwdDo9HgnnvuwerVq5GZmYmSkhLU1tZi2bJlmD59OjZu3IjrrrsOc+bMwY8//tjm6xUVFSEuLq7VbXFxcSgqKmrzOUuXLkVYWJjlT3JyssPeH3k/vcFoqZHra6WkQRYX6o/hKeEAgI2H2/5+pK5Zf6gIX+0vgEIyHXTw6fY8PLHmYLeH3uLqRvxz80kAwJ+uykCg2nqnhSsz43Dn+F4AgEe+2I/3tpwGYNqsJteDeyp/PyVCWnSYCGfg7VZySUN7vXiPdrIlWUtyHa+nbFyTA68c1AFYNq5xMcJ7uTzwZmRkYN++fdi2bRvuvfdeLFy4EEeOHIHRaCocnzVrFh566CEMHToUjz32GK655hq89dZb7b7mhT8khBDt/uBYsmQJqqqqLH/y8/O7/sbIZ5ypqIfOYESAnxKJ4QHtPnb6QFM/1fUMvE5RUafDk2sOAgDumdgHr94wBAoJ+O+OfCz5X/eG3pfWH0e9zoBhKeGYNaT90oQ/Tu+HIcnhqG7U49A504rb7KGeXc4gk09bA7jC2936yp0aKuqt9nyuqNNZWnH160Lg7ethG9datiSTNR8+wcDrrVweeNVqNdLS0jBy5EgsXboUQ4YMweuvv47o6GioVCpkZma2enz//v3b7dIQHx9/0WpuSUnJRau+LWk0GkunCPkPka1admhQdLDpY9oAU+DdllOB8+ZWTeQ4T395CGW1OqTHBePBK/viumFJ+Nv8oVBIwGe78vGnVQe6JfTuy6/Eqj1nAQDPzBzQ4feFWqXAP24ahhB/02roiNQIpEQFtvscTyGftgYw8Ha36GA1IgL9IIT1MCqXM6RGBSK4C72ePW3jWnPgbf5vjL14vZ/LA++FhBDQarVQq9W45JJLcPz48Vb3Z2dnIzU1tc3njxkzBt99912r2zZu3IixY8c6ZbxE8seF8ipHe1KjgtA/IRQGo8Cmo8XOHppP+fZgIdYeKIRSIeHleUOgUSkBmGqnX7txGBQS8MXus/jjqgMwODH0CiHw3NemTjNzhidiaHK4Tc9LjgzE328ahrTYYNx/eZrTxtfdWq3wsktDt+qoU4McePvHd22Rp4+nrfC26MErYy9e7+fS43sef/xxXHXVVUhOTkZNTQ1WrFiBrKwsrF+/HgDw6KOPYv78+ZgwYQImT56M9evX4+uvv0ZWVpblNRYsWIDExEQsXboUAPDggw9iwoQJ+Mtf/oJZs2bhyy+/xKZNm/DLL7+44i2SD5Dr1tLa2bDW0vQB8ThaWI0Nh4swbyTrxR2hvFaLJ9ccAgDcO7EPBieFt7r/2iE9IAH4/Wf7sHL3WRiFwF/nDulUGyZrdHoj8s/XI7esDltPlWNvXiUC1Ur8aXq/jp/cwuSMWEzOaLsLjSfiCq9rpceFYPvpCqsb1ywdGjpxwlpLcg1vUXUjqhubEOrv3v8/n22npIGB13u5NPAWFxfjtttuQ2FhIcLCwjB48GCsX78eU6ZMAQBcd911eOutt7B06VI88MADyMjIwKpVqzB+/HjLa+Tl5UGhaF6oHjt2LFasWIEnn3wSTz31FPr06YPPPvsMo0aN6vb3R75BDrzp7WxYa2nawDj8bVM2fjpRhlqtvksfJZLJ018dRnmdDhlxIbj/CuurozOH9IBCkvDAir34355zEAKW/sj2qNfpsXL3WZworkVueR1yy+tw7nwDLlw0Xjw5DXGhbfcM9xVRDLwuJbdKtLZx7Uhh509YaykswA+xIRqU1GhxsqQWw1MiuvR6znbO3IO31aa1Fm3JjEbRYRkSeR6X/qR99913O3zM7bffjttvv73N+1uu9srmzp2LuXPndmVoRDYxGAVOlXbckqyljLgQ9IwKRG55PbKOl+CawT2cOUSvt+5AIdZZKWWw5urBCVBIwP3/3YvVe89hbJ8ou1fZ3/jhJJZnnbro9kC1Ej2jgtArOggjUiOwYEzbpVe+JMZc0qBUSPzlzgXkjWvZJa0Dr05vtFy7+neyJVnrrxPsEYG3scmAslrT/omWK7wxIRooJEBvFCir0yI2hL+sehtefYi6IK+iHjq9ERqVAkkRtm0ykiQJ0wbG4+0fc7D+UBEDbxeU1Wrx1JemUobFk/pgkA19a68alIDfl9bi5Y3Z+GR7nl2Bt8lgxBe7TF1cbhiZhJGpkegZHYSe0YGICdZ4fBsxZ5BXeMMC/Dg/LiDX8OZXNKBep7e0xztRUoMmg0Cov6rD7jK2SIsJxq8ny9ttgeYO5A1rQWolwlvUlPspFYgONq1SF1cx8Hojt9u0RuRJ5It7WmywXR+NTzd3a9h8rMRquyCyzdNfHkJFnQ794kPwu8v72vy8Gy9NgZ9Swr78Sksdoy1+OFaCslodooM1eOG6QbjhkmRc2isSsSH+DHNtSDb/IhjP8g6XiAxSW+qoT7So423Zf9cR37sZ5o1vx4rcPPC22LB24ftOsLQma+j2cZHzMfASdYFcv2tLh4aWhiSFIz7UH3U6A349WeaMoXm9tQcK8M3BIqjMpQxqle2Xs+hgDaZmmn7pWLGz7TaHF/p8p2l19/rhifBT8vJpi4GJoXhp7mC8NHewq4fis+Q63padGuRf9LpavyuTN74dKaiGEK47zrsj1nrwyuJ4vLBX4xWbqAssLcni7KuBUygkTBtg6g29/hAPobBXY5MBz351BABw3+Q0DEy0/wjemy5NAQCs3nMODbqOV9mLqxux+XgJALC7hh0kScINI5M79f8ROYblxLWSliu88pHCjgm8GXEhUEhAeZ0OpTVah7ymM1hrSSZL4OETXo2Bl6gLLC3J7FzhBYBp5lPXNh0tht5gdOi4vN03BwtRVqtFjzB//G5y53rWju0ThZTIQNRo9fj6QEGHjze1MwNGpkZ06v9vIlfpe8EKrxACR4sc05JMFqBWold0EIDm7g/uyNqhE7L4MFMI5uET3omBl6iTDEZhabSebucKLwBc2jMSEYF+OF/fhB25FY4enlf7YOsZAMAto1PtKmVoSaGQcOOlppXa/+5ov6xBCIHP5c1ql3B1lzyLZYXXXMNbWNWIyvomKBWSQ395k8sj3DrwtrPCGx9mqnVmL17vxMBL1Elnz9dDqzdCrVIg2crFsyMqpQJTMk1lDRtY1mCzffmV2J9fCbVSgRu7GD7njkiCSiFhb16l5SNea7blVOBMeT2C1EpcPSihS1+TqLvJPcLPVTagprHJ8r3eJyYI/n5tt/Gzl7xaLG+Ic0dnzT14rdXwxodyhdebMfASdZK8WtI7OgiqTm5gmm4ua9hwuBhGJx53600+3JoLALhmcEKrQw06IzbEH1PNtdQr2lnllVd3rx3aA0HsJUseJizQD3Gh5k4NJbUOr9+VySu87f3y6EpNBqMlzFpbpGh52po7b7yjzmHgJeqkE10oZ5CN7RONYI0KRdWN2H+20kEj817ltVqs3V8IAFgwtqdDXlPevPa/vdY3r1U1NOGbg6aveQM3q5GHai5rqHHYCWsXGmB+vZzSWrdst1hU1QijANTmnrsXklvn1esMqNHqu3t45GQMvESddMJ8cpG9Lcla8vdTYnK/WADA+sPuWdZQ09iEqvomVw8DALBiZz50BiOGJIVhaHK4Q15zXJ9oJEcGoKZRj3XmYNvSV/sLoNUbkR4X7LCvSdTd+prLGrKLa1v14HWkmBANooLUMArguBv245U3rPUI97d6dHCAWmk5/pp1vN6HgZeok+SSBluPFG6LfAjFhkNFbvcxmsEoMOfNLbji1SzUNLo29OoNRnyyzbRZbcGYng57XYVCwo2XmFZ5P91+5qL75d67N4xM5uES5LHkXrz78yuRW14HwPGBV5Kk5n68bljW0N6GNZk9rcmq6puwavdZaPXut5pNF2PgJeoEY4sODWmxXTuHflJGDNQqBXLL63HczY7l3JVbgRMltSir1eHguSqXjmXT0RIUVDUiMkiNqwc7duPYvJGmzWt78ipxrKj5B/WRgmocPFcFP6WEOcOTHPo1ibpTerzpOrXrzHkIYVqNjQnpWg28Ne5cx9veoRMyy+ETNgTeV747jj98sR+vbzrhmAGSUzHwEnXCucoGNDQZ4KeU0DPq4n6O9gjSqDChbwwA9zuEYsPhYsvfXb3zWt6sduMlyQ7dWQ6YNq9d2V/evJZvuV3erDYlMw6RQWqHfk2i7nRh6ZWjV3ebX9cUrO05sru7WFZ4rfTgldmzwrv1VDkAU49ue3upNzYZ8NqmbOzPr7TredR5DLxEnSDX7/aODu50h4aW5G4Naw8Uus0hFEIIbGhRV+zKFZsTxTXYcqocCsnUe9cZbh5l3ry25ywadAY0Nhmweu85ANysRp4vxN8PPcxhDnB8h4bm1zWdqHesqMbtOs9YVnjbKWmQV3g7ak1W1dBk2bhcUqPFzyfsOyL+w625eG3TCdz54S6Xl4v5CgZeok6Q63fTuli/K7uyfyyC1EqcLKnFSxuOO+Q1u+pwQbXlBwTg2sD7kbl2d0pmXLsfR3bF+LRoJEUEoLpRj28OFmLD4SJUNTShR5g/LjOvwBN5spZHoMsrsY7WOyYIaqUCtVo98s09b92F3IM3yYYa3qKqhjYfAwB78863+vcXu/PbeOTFjEaBT7eb2iCW1mjxxg8nbX4udR4DL1EnWFqSdbF+VxYeqMZf5w0BAPzrpxx8ue+cQ163K+TyioGJppWgE8W1aHLB6nNNo2ljCAAsdOBmtQspFJKlRdmnO/Is5QxzRyZDaWVHN5GnSW/xC7qzVnj9lAqkx5u+jjvV8RqNAgWVplXbdmt45cBbrW339fbkVQJonsdNR0pwvk5n01i2nCpHbnk9/JSm68p/fjmNkyXutX/DGzHwEnXCCfPmsq52aGhpxqAE3DupDwDgT6sOuLwGTi5nuGN8L4RoVNAZjDhVWtvt4/jfnnOo0xmQFhuMMX2inPq15o1IglIhYfeZ8/j1ZDkkyXQbkTeQe/GqVQr0ig5y2tfpHy93anCfEFdWq4XOYIRCaj5gwhp7V3hvGpWCzIRQ6AxGfLW/wKaxfLrD9InVjZek4Mr+sdAbBZ796ojbdenxNgy8RHYSQlhWeLvSg9eaR6Zm4LK+0WhsMuK3H++yecXA0U6V1uJESS1UCgmX94tDP/PHn929YiOEwAfmzWoLxqQ6vS1YbKg/ruwfa/m3qUdv1zYlErmL0b2j4O+nwOSMGIfsPWiLpTWZG21cO2suz4oP9YdfO+9dPnzifH1Tm4dnGIwCe80rvMNTwjFvpOmXYlvKGkpqGrHRvBn45lEpeOqaTKhVCvxysqzVnglyPAZeIjsVVDWiXmeASiGhp4NXSZQKCW/cNAwpkYHIr2jAAyv2wuCCjR/yhXdsWjTCAvxatBrq3hWbX0+WI6e0DsEaVbe1BZPLGgDghku4WY28R3JkILY+dgVev3GYU7+OO7Yms6UHLwCEBfjB388UjYrb2Lh2oqQGtVo9gtRKZMSFYNbQRPgpJRw6V93he/5i11nojQLDU8LRPyEUqVFBuGdCbwDA82uPWj3tkRyDgZfITnI5Q6/ooHZXCjorPFCNt28bgQA/JX4+UYaXNhxz+NfoyAZz/e60AaZWXXKdWnev2Miru9cPT0SwRtUtX3NC3xiMS4vCkORwTM2M65avSdRdIoLUDm/rdyE58J6rbHCbUxpt6cELmA7PkFd52zptbc+ZSgDAkORwqJQKRAapcUU/07VipXm/gTWGFpvVbhnV3G3m3klpSAwPwLnKBiz/8ZRtb4jsxsBLZCdHnbDWnv4JoXhp7mAAwNs/5mDtAdtqwxyhoLIB+89WQZJMXRHk8QCmFZvuqjPLr6jH90dNH/3d5sTNahdSKCR8cudofLl4nNODAZE3CgvwswTLo0Xuscpr6wov0Fzj21Zrst1nTPW7w1MiLLfJZQ1r9p5rc3PvT9mlOFfZgLAAv1aH5wSolXjy6v4AgLd+PIW8cvfqbuEtGHiJ7CT34O3qCWsdmTmkB35r/qjr0S8OtDoBzJk2mssZRqREIDbEdOHPiA+BQgLK63QorWl/97KjfLI9D0ZhaheW5uBaaSJyru6q463X6TH9tZ8w841f2qy5BZpXeJMiOq7JTwgzheK2VnjlDWsjUpsD78T0GEQHa1Bep8PmYyVWn/eJeXX3+uFJF/0yPX1gPMalRUGnN+L/1h7pcIxkPwZeIjtZWpI5cYVX9ui0DIxPi0ZDkwF3f7gblfXO38Qmn64mH4YBAP5+Ssuu7iPdVJc3unckxqdFY8EY5xw0QUTO0111vO/+fBrHimpw8FwV3mqnHEDuwWtLH2/58Alrp61V1OmQU1YHABiWEm65XaVUYM7wRADAF1bKGgoqG/DDMXmz2sV7AyRJwrMzB0ClkLDpaDE2H7cemqnzGHiJ7CCEwEm5pMHJK7yA6SL6xk3DkBQRgLyKeqf/5l9Rp8P206bjMqcNiG91X2YP0wlK3RV4J2XE4uM7R2HqBeMgIvdnqft34vWirFbbKuQuzzqF/IqLywGEEHaVNDS3Jrs48Mqru71jghAe2Pq4cbmF4eZjJSirbf1J2Gc782EUwKhekW1+Otg3LgS/GdcTAPB/Xx+BVs8NbI7EwEtkh6LqRtRo9VAqJPSM7p52VRFBarw2fygA09HDzlzl3XS0GEZh+mF1YTuu/pbWZO7TW5OI3JMceJ15YM0b359Anc6AQYlhGNsnCto2ygGqGppQZ+5+YM8Kr7Ua3j1yOUOL+l1Z37gQDEkOh94osGZv8+FBeoMRK3aaN6t1cDT6A1f0RUyIBqfL6vCfX3I7HCvZjoGXyA7yhrWeUYHQqLpvQ9OI1Aj0TwiFTm9sdSF1tObuDBevqrpjqyEick9JEQGWA2tySusc/vqny+osNbFLruqH5641lQN8d+TicoCz5tXd6GDbOlS0t8Ird2gYnnpx4AWaV3m/2HXWssH3+2MlKK7WIjJIbel805YQfz8suaofAOCNH06gsIMDMMh2DLxEdsiWT1jrhnKGliRJwnzzLuAVO/Od0imhVqvHzyfLALSu35XJKzY5pbXtbg4hIlIoJMuBNUcKqxz++n/dcAx6o8CkjBiMTYtuVQ7w3FeHW5UD2NqSTCZ3aSit1ULfYnVabzBiX34lgNYdGlqaObgH1CoFjhfX4NA50+KA3Ips3sgkmxZKrhuWiBGpEajXGfDR1jM2jZk6xsBLZIeTJc5vSdaW2cMSoVYpLBs0HO3H46XQ6Y3oGRVodUNebIgGUUFqGAVwvIhlDUTUvkwnHVizJ+88vjlYBEkCHjOvhgLAg1emIzZEg9zyevz7pxzL7fbU7wJAdLAGSoUEg1GgrLa5hOxYUQ0amgwI0ajaPGUzLNDP8gnZF7vzkV9Rj59OlAIAbm5xqE17JEmyhPd1Bwt55LCDMPAS2aioqhFbc0wbulzRJis8UI3p5gvpZzs7PsLSXuvN7cimDYy3eoSvJEksayAim/V3woE1Qggs+8Z0GM/c4UnoFx9quS9Yo8IT5n62/9h80tKZwd4VXqVCQmyIBkDrOl55w9rQlHAoFG0fcy6XNXy5rwAfbMmFEMBlfaORGmX7yZyX94uFv58CZ8rrcdiNjmj2ZAy8RDbYcLgI01//CWfK6xGiUWFMnyiXjGO++ajbr/YVOPQISq3eYOkdaa1+V9a8cY0XYCJqn9yL15EH1mw6WoIduRXQqBR4eGr6RfdfO6QHRvWKRGOTEX9eexRA8wqvLT14ZZbDJ1rU0O7JqwTQdjmDbFxaNBLC/FHV0IR3fz0NALhllG2ru7JAtcpyetvaA4V2PZesY+AlakeDzoAnVh/Ebz/ajcr6JgxMDMWa342zHMjQ3cb0jkJyZABqtHp8c9BxF8EtJ8tRq9UjLlSDoUnhbT6uv5M+oiQi75Me13xgTYkDDqzRG4xY9q0pxN4+vpflgIiWJEnCc7MGQKmQsP5wEX7KLsXZStt78MqsHS9sOWGtjQ1rMqVCsvTkFcJUDnZFf/uPKZdPY1t3sIBlDQ7AwEvUhqOF1bj2H79YdgL/dkJv/O/ecegT47pTvxQKCTeMMK3yfrbLcWUNG8zlDFMz49v9qM4VRwwTkWfy91NarpeO6Mf7xe6zOFVah4hAP9w7qU+bj+sXH2o5sObZrw4jv8K+Gl6geYW30FzSUFarRV5FPSQJGJoc3uHz545oPlxi/iXJ8FPaH7cmZ8QiwE+J/IoGp+zb8DUMvEQXEELgvV9PY9Y/f8WJklrEhGjw0R2XYsmM/lCrXP+fzNyRSVBIwI7TFcgpre3y6xmMAt8dufh0NWv6xARDrVSgRqu3tPohImqLo+p463V6vPpdNgDg/sv7ItTfr93HPzQlHdHBGuSU1aGqoQmAnYHXvMJbbF7h3WNe3e0bG4ywgPa/NgD0ig7CNYMTEBuiwS2jOndaZIBaiSv6xwJgWYMjuP6nN5EbqWpowu3v78RzXx+BTm/EFf1isf7By3BZ3xhXD80iISwAE9NN4/l818VHWNprV24Fyut0CAvww6W9Itt9rFqlsGzY664T14jIc7Ws4+2Kd34+jdIaLVIiA3FrB4c3AEBoi362ABDir+owJLdkWeE1B97d5g1rHdXvtvSPm4djxxNXWl6rM66RyxoOsFtDVzHwErXwt++ysfl4KdQqBf5v1gC8s3AkooI1rh7WReTNa6v2nO3yKUZyd4Yr+8fZ9LEbOzUQka0ccb04e74eb5uPEH50WobNn7TNGZ6IkeZ6W3vqd4EWNbzmkoa9HRw44SyTMmIRpFbiXGWDpQcwdQ4DL5GZEAIbzeHv7zcOxYIxPa2253IHl/eLQ3SwGqU1Wkt3hc4QQmDTUVM5w9QOTgCSyZ0abPmIUqs3QKd3zrGiROT+5F68p8vqbO4sYzQK7MuvxN++y8asf/yCy17ajDqdAYOTwnD1oASbv7YkSXhxziD0jg7C9cOT7Bq3vCGuqKoROr0R+89WArBvhdcR/P2UuDLTdG1ex7KGLmHgJTI7VlSDgqpG+PspMCkj1tXDaZdapcAc8wX88y5sXssurkV+RQM0KgUu6xtt03MsH1EWdRx43/81F1e8mmWpESYi3xITokF0sMZ0YE1x291dKut1+HLfOTz82T5c8sImzP7nr3j9+xPYf7YKQgCDk8Lw8rwh7W6qtSY9LgQ/PDIJd03obdfzYkNNn+xp9UZszSmHVm9EWIAfekfb3kvXUeSQ/83BQhiNLGvoLJWrB0DkLn4wr5SOT4u26bx1V7thZDL+9VMONh8vRXF1I+JC7a8Tk1d3x6dFI1Bt2+VAXrHJr2hATWMTQtqoi6tqaMKbWadQ1dBk2TRCRL6nf0IIfj6hxZGC6os6HDToDPjn5pP41885rT4NCtGocFl6NCZlxGJSegxiO3F96wp/PyUig9SoqNPhG/PK6vAODpxwlgnpMQjWqFBQ1Yi9+ZUY0c1lFd6CgZfI7Htz+Lu8n/39El0hLTYYI1MjsOvMeazcfRaLJ6fZ/RobzSuv8kdmtggPVCMhzB+FVY04VlSDS3pa3+j2r59MYTc9LhjXDUu0e2xE5B0ye4Ti5xNlrep4hRBYf6gIf1531HISWt/YYFzePxaTM2IxIjWiU628HCk+1B8VdTpsOGIqdevucgaZv58SUzLjsHrvOaw7UMjA20ksaSACUF6rxV7zhoDL+7l3OUNLN5g3r32xK9/uHbwl1Y3Yb37PV9j5njtqNVRS3Yh3fzGdMPTotH5QumBVhIjcg/ypkNzZ5VRpLRb8Zwfu/WQPzlU2IDE8AG/dOgIbH5qAJVf1x+jeUS4Pu0Bzp4bKetMnVN29Ya0lljV0neu/o4jcQNbxUggBDOgR2qUWMt3t6kEJCNaokFtej+2nK+x67vfmEo4hyeF2f1zY0RHDf//hBBqbjBieEo4r+3vOLxBE5Hhy4D1WWI2l3x7F9Nd+ws8nyqBWKfDA5WnY9PBETB8Y73abhFv+LFBIpmulq1yWHo0QjQpF1Y2WFmlkHwZeIjTX79q70ulqQRoVZg4x/eb/2U77Nq9tMpczTOlEIM1MCANgPfDmltVhxQ7TWP40vZ/b/RAjou7VKzoIapUCdToD3v4xB00Ggcv7xeK7hybg4akZCFC7556J+BYLARnxoQjWuK4KVKNSYsoAdmvoik4F3qysLAcPg8h1dHojfsouBQBM9rDACwDzL0kBYPqoq6rets1h9To9fjlZBgCYktn+6WrWyCu8x4trYLjg47VXv8uG3igwKSMGo3pH2f3aRORdVEoFBieafklOiQzEuwtH4j+LLkFqVPd3PLBHyxXe4SnhrhuI2czBPQCYrvUXXnepY50KvNOnT0efPn3w5z//Gfn5nW+JROQOduVWoEarR1SQGkOSwl09HLsNSQpDv/gQaPVGfLz9jE3P+eVEGbR6I5IjA5AeF2z310yNCkKAnxKNTUacLquz3H7oXBW+2l8AwNQgnogIAP46bwhemTcEGx+agCv6e8bG4JYrvO6wUWxcWjRC/VUoqdFiV659JWzUycBbUFCABx98EP/73//Qq1cvTJs2DZ9//jl0Op2jx0fkdHIt6+R+sS5pOdNVkiThtxNNPSbf+/U0Gps6bu4utyO7sn9cp0oOlAoJGfHmAyhalDX8dcNxAMCsoT0woEeY3a9LRN6pV3QQrh+R5BEtH2UJrVZ4XR941SoFpg0wfSK37iDLGuzVqcAbGRmJBx54AHv27MGuXbuQkZGBxYsXIyEhAQ888AD279/v6HESOc1mD63fbWnm4B5IighAWa2uw4MoDEaB74+a3vOULqy0WA6gMAferafK8WN2KVQKCQ9PSe/06xIRuYOUqEAkRwZgUGIYUqMCXT0cAMDVg+VuDUUsa7BTlzetDR06FI899hgWL16Muro6/Oc//8GIESNw2WWX4fDhw44YI5HT5JTWIqesDn5KCeNtPGnMHamUCtxtPknItCmk7eN89+VXorxOhxB/FS7pZb2Hri3k1mRHC6shhMBLG44BAG66NMXta/OIiDqiUSnx/cOT8OXicW6z+XZcWjTCAvxQVqvFDjs78/i6TgfepqYmrFy5EjNmzEBqaio2bNiAf/zjHyguLsbp06eRnJyMefPmOXKsRA4nd2cY1SuqzRPDPMUNI5MRHazGucoGrD1Q0Obj5HKGyRmxXep1mdmiNdl3R4qxN68SAX5K3H+5/QdgEBG5I7VK4Valbn5KBaZbyhravs7TxTr10+7+++9HQkIC7rnnHqSnp2Pv3r3YunUr7rzzTgQFBSE5ORnLli3DsWPHHD1eIoeSA68nHTbRFn8/JX4zrhcAYHnWqTabk3/XidPVrMmIN63wFldr8fy6IwCA28f37PYjQImIfIlc1vD5rrN495fTPIjCRp0KvEeOHMEbb7yBgoICvPbaaxg4cOBFj+nRowc2b97c5QESOUt1Y5PlI6ErvORwhNvGpCJEo0J2ca1lM15Lp8vqcLKkFiqFhInpMV36WsEaFXqa69ryKxoQHuiH307s06XXJCKi9o1Li8aV/eOg0xvx/NojuPFf23CmvK7jJ/q4TgXeZ555BvPmzYNarW51u16vx08//QQAUKlUmDhxYtdHSOQkP2eXQW8U6B0T5DU1p6H+frhldCoA4M2skxcdN/y9uZxhVO9IhAV0vYRDruMFgPsm9UGoh5eFEBG5O6VCwr8XjMCL1w1CkFqJHbkVmP7az/hway5Xe9vRqcA7efJkVFRcXCxdVVWFyZMnd3lQRN3h+2Om8OfJ3RmsuX18T6hVCuzNq7zouOHvLKerOaYPpnxkaHyoPxaM6emQ1yQiovZJkoSbR6Vg/e8nYEzvKDQ0GfD0l4dxyzvbkV9R7+rhuaVOBV4hhNUdi+Xl5QgK8o6VMvJuBqNA1nHT6WqX9/OMJui2ig3xxw0jkwAAb2adstx+vk6HXWdMZ7A7qvH7/EuSMX1APP42f6hH9dckIvIGyZGB+OTOUXju2gEI8FNia045pr/2Ez7dnnfRJ3y+zq6DoefMmQPA9JvFokWLoNFoLPcZDAYcOHAAY8eOdewIiZxgX34lKsytuUb2dH1DcUe7+7I++HR7Hn7KLsWhc1UYmBiGrOwSGIwC/eJDkBzpmJ6SsaH+eOu2EQ55LSIisp9CIWHh2J6YmB6DR1fux87c83h89UGcr9dh8WR2zZHZtcIbFhaGsLAwCCEQEhJi+XdYWBji4+Nx99134+OPP3bWWIkc5gdzOcPE9JguteZyVylRgZg5xHTu+nLzKu+mI+bDJrrYnYGIiNxPz+ggfHb3GNw7ybR5eKO5hI1M7Frhfe+99wAAPXv2xCOPPMLyBfJY8klj3tKdwZp7J/XBl/sK8M2hQhwvqsGP2aYSjis95Bx7IiKyj0Ih4frhiViedQonimtgNAq36iPsSp3u0sCwS56qoLIBx4pqoJCAieneG3j7xYfiin6xEAJY/Oke1Gr1iA3RYFBimKuHRkRETpIaFQS1UoF6nQHnKhtcPRy3YfMK7/Dhw/H9998jIiICw4YNa/eYvT179jhkcETOIB82MTwlApFB6g4e7dnundQH3x8rwcmSWgCmzWr8bZ+IyHv5KRXoHROEY0U1yC6ucdieDU9nc+CdNWuWZZPa7NmznTUeIqeTA+9kL2tHZs3InpG4tGckduSa2pNNyfT+90xE5OvS40JwrKgGx4trHNaVx9PZHHifeeYZq38n8iRavQG/niwD4N31uy3dO7kPdrxXgSC1EmP7RLt6OERE5GQZ8SHAfiC7qMbVQ3Ebdm1au5BOp0NJSQmMRmOr21NSUro0KCJnOV/XBK3eCKVCQkZciKuH0y0mpcfgpesHo0d4AHvlEhH5gHTzz7fs4loXj8R9dCrwZmdn44477sCWLVta3S4fSGEwGBwyOCJHq9fpAQCBfsp269C9iSRJuOGSZFcPg4iIukl6XDAA4GRpLfQGI1Re2H7TXp0KvL/5zW+gUqmwdu1aJCQk+ExwIM9XrzP9Mhag5konERF5p+SIQPj7KdDYZMSZinr0iQl29ZBcrlORf9++fXj77bdx1VVXYejQoRgyZEirP7Zavnw5Bg8ejNDQUISGhmLMmDH49ttvLfcvWrQIkiS1+jN69OgOX/e1115DRkYGAgICkJycjIceegiNjY2deavkZRqaTIE3kIGXiIi8lEIhWcoaThSzjhfo5ApvZmYmysrKuvzFk5KSsGzZMqSlmY6+++CDDzBr1izs3bsXAwYMAABMnz7dcuAFAKjV7beR+uSTT/DYY4/hP//5D8aOHYvs7GwsWrQIAPC3v/2ty2Mmz9a8wtul8nUiIiK31jc2BAfOVuF4US2mD3T1aFyvUz/1//KXv+CPf/wjXnzxRQwaNAh+fn6t7g8NDbXpdWbOnNnq3y+88AKWL1+Obdu2WQKvRqNBfHy8zWPbunUrxo0bh5tvvhmA6VS4m266CTt27LD5Nch7Ncg1vFzhJSIiL5YRbypjyOYKL4BOljRceeWV2LZtG6644grExsYiIiICERERCA8PR0RERKcGYjAYsGLFCtTV1WHMmDGW27OyshAbG4v09HTcddddKCkpafd1xo8fj927d1sCbk5ODr755htcffXVbT5Hq9Wiurq61R/yTvIKLwMvERF5s+ZODQy8QCdXeDdv3uywARw8eBBjxoxBY2MjgoODsXr1amRmZgIArrrqKsybNw+pqak4ffo0nnrqKVx++eXYvXu35RCMC914440oLS3F+PHjIYSAXq/Hvffei8cee6zNMSxduhTPPfecw94TuS9LSQPbcxERkRfLiDcF3tNlddDqDdCobPu59+W+c0gMD8DInpHOHF6361TgnThxosMGkJGRgX379qGyshKrVq3CwoUL8eOPPyIzMxPz58+3PG7gwIEYOXIkUlNTsW7dOsyZM8fq62VlZeGFF17Am2++iVGjRuHkyZN48MEHkZCQgKeeesrqc5YsWYKHH37Y8u/q6mokJ7ONkzdq4AovERH5gPhQf4RoVKjR6nG6rA794jsuNz14tgoPrtiH2BANdjxxZTeMsvvYHHgPHDiAgQMHQqFQ4MCBA+0+dvDgwTYPQK1WWzatjRw5Ejt37sTrr7+Ot99++6LHJiQkIDU1FSdOnGjz9Z566incdtttuPPOOwEAgwYNQl1dHe6++2488cQTUCguruLQaDRtrhiTd+GmNSIi8gWSJCE9PgS7z5xHdnGtTYH3pxOlAICSGi3O1+kQEdR+owBPYvNP/aFDh6KoqAixsbEYOnQoJEmCEOKix3X14AkhBLRardX7ysvLkZ+fj4SEhDafX19ff1GoVSqVEEJYHS/5lvomblojIiLfkB5nDrxFNYANXWN/PdncgSunrBYjgrynrMHmwHv69GnExMRY/u4Ijz/+OK666iokJyejpqYGK1asQFZWFtavX4/a2lo8++yzuP7665GQkIDc3Fw8/vjjiI6OxnXXXWd5jQULFiAxMRFLly4FYOr88Oqrr2LYsGGWkoannnoK1157LZRKhhxfx5IGIiLyFfKJa8dt2LjW2GTArjPnLf8+VVqHEak+GHhTU1Ot/r0riouLcdttt6GwsBBhYWEYPHgw1q9fjylTpqChoQEHDx7Ehx9+iMrKSiQkJGDy5Mn47LPPEBISYnmNvLy8Viu6Tz75JCRJwpNPPolz584hJiYGM2fOxAsvvOCQMZNn40lrRETkKzLsOHxiV+556PRGy79zSuucNi5XsDnwfvXVVza/6LXXXmvT495999027wsICMCGDRs6fI2srKxW/1apVHjmmWfwzDPP2DQG8i2WFV52aSAiIi+Xbu7UcKaiHg06Q7uLPb+eMpUzqJUK6AxG5JTWdssYu4vNgXf27Nk2Pa6rNbxEzlRvOXiCm9aIiMi7RQdrEBmkRkWdDidLajEoKazNx8r1u1cPTsDqveeQU+ZdK7w2HzxhNBpt+sOwS+6MJQ1ERORL5Dre9g6gqKpvwsFzVQCAW0enAADOlNfBYPSezf6dOmmNyFM1NHHTGhER+Y4MG05c25pTDiGAtNhgDEuOgEalQJNB4Oz5+u4aptN1+nPduro6/Pjjj8jLy4NOp2t13wMPPNDlgRE5A1d4iYjIl/Q1B972OjXI5Qzj+kRBoZDQKzoIx4pqkFNah9SooG4Zp7N1KvDu3bsXM2bMQH19Perq6hAZGYmysjIEBgYiNjaWgZfcVnNbMtbwEhGR95OPGD5R3PYmNHnD2ti0aACwBN5TpbWY3C/W+YPsBp0qaXjooYcwc+ZMVFRUICAgANu2bcOZM2cwYsQIvPzyy44eI5HDNG9a4wovERF5v/RYU+A9V9mAmsami+4vrGpATmkdFBIwuncUAKB3jGlV15s2rnUq8O7btw9/+MMfoFQqoVQqodVqkZycjJdeegmPP/64o8dI5DCWkga2JSMiIh8QFuiHuFANACDbyirvryfLAQCDksIRFuAHAOgdbdrodtqLevF2KvD6+flBkiQAQFxcHPLy8gAAYWFhlr8TuRuDUUBrbqrNFV4iIvIV6e0cQLGlRf2urHmF13t68XaqkHHYsGHYtWsX0tPTMXnyZDz99NMoKyvDRx99hEGDBjl6jEQOIXdoAFjDS0REviMjLgQ/nyi7aOOaEMJSvzvOXL8LNK/wFldrUavVI1jj+T8zO7XC++KLLyIhIQEA8PzzzyMqKgr33nsvSktL8fbbbzt0gESOItfvShLg78eOfERE5BvS22hNdqq0FsXVWqhVCoxIjbDcHhboh6ggNQDvKWvoVGQfMGAAhDA1I46JicGbb76J1atXIzMzE0OHDnXk+Igcpl7bXL8rl+QQERF5O/mI4QtreOX63Ut6RsD/gr0tvWOCUF6nQ05Z+ye0eYpOLXPNmjULH374IQCgsrISo0ePxquvvorZs2dj+fLlDh0gkaPU63joBBER+Z6+saYShdIaLSrqms9OkPvvju0TfdFz5LKGU16ywtupwLtnzx5cdtllAICVK1ciLi4OZ86cwYcffoi///3vDh0gkaM0NJlKGnjoBBER+ZIgjQrJkQEAmssa9AYjtuaYVnhb1u/K5I1rp72kNVmnAm99fT1CQkzL4xs3bsScOXOgUCgwevRonDlzxqEDJHIUywqvn+cX3xMREdlD7scrd2o4VFCNmkY9QvxVGJR4cclC7xjTCm9OqXd0auhU4E1LS8OaNWuQn5+PDRs2YOrUqQCAkpIShIaGOnSARI7CY4WJiMhXyXW8cqcGuZxhTO8oKBUX72vpFd28wivv2/JknQq8Tz/9NB555BH07NkTo0aNwpgxYwCYVnuHDRvm0AESOUoDa3iJiMhHZcidGopMK7Zy4LVWzgAAKZGBUCok1OsMKKpu7J5BOlGnPtudO3cuxo8fj8LCQgwZMsRy+xVXXIHrrrvOYYMjciRuWiMiIl/VN85UopBdUoPGJgN2nTkPABiXFmX18WqVAimRgThdVoec0jokhAV021idodPFjPHx8YiPj29126WXXtrlARE5i9yHN4CHThARkY/pExMMhQRU1jfh20OF0OmNiAvVoI+5Vtea3tFBpsBbVtfmSrCnYPd98hmWkgY/rvASEZFv8fdToqe5Lve9X3MBAOP6RLfbl95yxLAXbFxj4CWfUd/ETWtEROS75E4NB85WAQDGdrBq29ypwfNbkzHwks/gpjUiIvJlcqcGWVv1uzK5U0NOGVd4iTyGXMPLwEtERL5I7tQAmMoVOtqIJpc0nD3fgEbzp6SeioGXfEZzH15uWiMiIt+THte8QW2cleOELxQTrEGIRgUhgDPl9c4cmtMx8JLPYEkDERH5sp7RQfBTmjapdVTOAACSJLU4YtizyxoYeMlnsA8vERH5Mj+lAreP64VxaVGYkB5j03PkjWunPHzjGj/bJZ9h6dLAtmREROSjlszob9fjLRvXPDzwcoWXfEaDedNakIa/5xEREdnC0ouXJQ1EnqF50xpXeImIiGzRO7q5F68QwsWj6TwGXvIZ3LRGRERkH7mkoaqhCRV1OhePpvMYeMlnWDat+bGkgYiIyBYBaiUSw039ek+XeW4dLwMv+QSjUaCBRwsTERHZzVLH68Eb1xh4ySc06ptPiGFJAxERke3ksoZTHrxxjYGXfIJczgCwLRkREZE9entBazIGXvIJ8oY1fz8FFArJxaMhIiLyHPLhEzmlXOElcmvNp6xxwxoREZE95BrevIp66A1GF4+mcxh43UCTwYgz5XUoq9W6eiheq9586ATLGYiIiOzTIywAGpUCTQaBs+cbXD2cTmHgdQOPfLEfE/+ahf/tOevqoXgt9uAlIiLqHIVCaj5i2EM3rjHwuoHkiEAAQH6FZ/7W5AnqGXiJiIg6zdNbkzHwuoHkSFND57yKehePxHvVswcvERFRp8lHDJ9i4KXOSo6UV3gZeJ2lwVzDy01rRERE9mte4WVJA3VSijnwnj3fAKNRuHg03kkuaeAKLxERkf3k1mSeerwwA68bSAgLgEohQWcworim0dXD8UqWGl52aSAiIrKbvGmtpEaLmsami+4XQqCiToc9eechhPst3vHzXTegVEhIjAjAmfJ65Fc0ICEswNVD8jrs0kBERNR5YQF+iA5Wo6xWh42Hi6FSSjhdVofTZXXINf9vdaOpfHDnE1ciJkTj4hG3xsDrJlIiA3GmvB55FfW4tFekq4fjdZpLGvgtT0RE1Bm9o4NRVluBP3yxv83HJIT5o6xWy8BL1iWZW5OxU4NzNDTJm9a4wktERNQZMwbFY3feeUQGqdErKgi9ooPQMzoIvaID0TM6CKmRQW67V4aB101YNq4x8DoF+/ASERF1zaJxvXDbmJ5QKiRXD8Vu3LTmJtiL17nYpYGIiKjrPDHsAgy8bkNe4WXgdQ5uWiMiIvJdDLxuQg68JTVaNJpPBSPHqTcfPBHgxyoeIiIiX8PA6ybCAvwQojGFsbPnucrraKzhJSIi8l0MvG5CkqQWRww3uHg03qehiYGXiIjIVzHwuhFuXHMeblojIiLyXQy8boQb15ynedMaa3iJiIh8DQOvG0mxlDQw8DqSEMKyaY0lDURERL6HgdeNJHGF1ym0eiOMwvR3ljQQERH5HgZeN9JyhVcI4eLReA+5nAEAAv0YeImIiHwNA68bSQwPgCQBdToDztc3uXo4TvXryTKMeP47fH+02Olfq97coUGtVECl5Lc8ERGRr+FPfzfi76dEXIg/AM8oa8gprcVnO/M6tRq9avdZlNfpsHL3WSeMrLUG+dAJljMQERH5JAZeN+NJG9eeXHMIf1p1EBsOF9n93COF1QCAwwXVjh7WReq07MFLRETkyxh43UySh/TiFULg4NkqAMDe/Eq7ntvYZMDJkloApvdZ3ejc8g324CUiIvJtDLxuxlNWeIuqG1GjNZUKHLFzlfZkSS30xuYyCHufb6+GJrYkIyIi8mUMvG7GEnjPu3fgPV5UY/n7kYJqu+p45XIGmbPLGuQV3kA/HjpBRETkixh43Uyyh/TiPVFca/l7eZ0OpTVam58rr+iqzR0TDp+rcuzgLsCSBiIiIt/GwOtm5BXegspG6A1GF4+mbceLa1r9255VWnmF98rMWLuf2xnNxwoz8BIREfkilwbe5cuXY/DgwQgNDUVoaCjGjBmDb7/91nL/okWLIElSqz+jR4/u8HUrKyuxePFiJCQkwN/fH/3798c333zjzLfiMDHBGqhVChiMAoVVja4eTptOmANviMZUJnBhmUJbhBA4ag6480YkAwBOltaiscnQ3tO6hCu8REREvs2lRY1JSUlYtmwZ0tLSAAAffPABZs2ahb1792LAgAEAgOnTp+O9996zPEetVrf7mjqdDlOmTEFsbCxWrlyJpKQk5OfnIyQkxHlvxIEUCgnJEQE4VVqHvIp6S4mDOzEaBbLNJQ0zBiXgs135Nm88O3u+ATVaPdRKBcb3jUZEoB/O1zfheFENhiSHO2W8ch9ervASERH5JpcG3pkzZ7b69wsvvIDly5dj27ZtlsCr0WgQHx9v82v+5z//QUVFBbZs2QI/Pz8AQGpqarvP0Wq10Gqba1Crq53fG7Y9KZGBOFVa57adGs6eb0BDkwFqpQLTB8WbAq+NK7xy+ULfuGD4KRUYmBiGn0+U4XBBtdMCr2XTmpqb1oiIiHyR29TwGgwGrFixAnV1dRgzZozl9qysLMTGxiI9PR133XUXSkpK2n2dr776CmPGjMHixYsRFxeHgQMH4sUXX4TB0PZH5kuXLkVYWJjlT3JyssPeV2e4+8a1bHM5Q5/YYAxKDAMA5JbXodbcpqw9cjDOTAg1/W8P0/8eLnDexjX5aOEAP67wEhER+SKXB96DBw8iODgYGo0G99xzD1avXo3MzEwAwFVXXYVPPvkEP/zwA1555RXs3LkTl19+eavV2Avl5ORg5cqVMBgM+Oabb/Dkk0/ilVdewQsvvNDmc5YsWYKqqirLn/z8fIe/T3ukuHnglTespccFIzpYg7hQDYQAjhd1vMorlz7IQXdAD1NgdubGNW5aIyIi8m0u/4w3IyMD+/btQ2VlJVatWoWFCxfixx9/RGZmJubPn2953MCBAzFy5EikpqZi3bp1mDNnjtXXMxqNiI2Nxb/+9S8olUqMGDECBQUF+Otf/4qnn37a6nM0Gg00Go1T3l9nJFt68Ta4eCTWnbAEXlNddGZCKIqrS3G4oBojUiPbfe7RC1Z4B5iD77GiahiMAkqF5PDx1rOGl4iIyKe5fIVXrVYjLS0NI0eOxNKlSzFkyBC8/vrrVh+bkJCA1NRUnDhxos3XS0hIQHp6OpTK5nDTv39/FBUVQafTOXz8zpAc4d6nrR03b1iTA6+8StvRxrWq+iacqzSF+P7moNsrKgiBaiUam4zIKa1t7+md1tylweW/3xEREZELuDzwXkgI0WbJQnl5OfLz85GQkNDm88eNG4eTJ0/CaGzuYZudnY2EhIQOOzy4i+TIAABARZ3OprrY7qQ3GHHKHEwz5BVec3jtaOOafH9yZABC/U0bChUKCf0T5Dpe55Q1yCUNQVzhJSIi8kkuDbyPP/44fv75Z+Tm5uLgwYN44oknkJWVhVtuuQW1tbV45JFHsHXrVuTm5iIrKwszZ85EdHQ0rrvuOstrLFiwAEuWLLH8+95770V5eTkefPBBZGdnY926dXjxxRexePFiV7zFTgnx90NEoCkQutsq75mKeuj0RgT4KZEUYQrmcnnCsaKadg/LuHDDmmyAkzeusQ8vERGRb3PpZ7zFxcW47bbbUFhYiLCwMAwePBjr16/HlClT0NDQgIMHD+LDDz9EZWUlEhISMHnyZHz22Weteurm5eVBoWjO7cnJydi4cSMeeughDB48GImJiXjwwQfxpz/9yRVvsdNSIgNxvr4KeRX1lhVQd5BdZKrf7RsXDIW53jYlMhBBaiXqdAbklNVZSh0uJJc8XPh+mgOvk1Z4m9iWjIiIyJe5NAG8++67bd4XEBCADRs2dPgaWVlZF902ZswYbNu2rStDc7nkyEDsP1vldiu82RfU7wLNZQm7zpzH4YKqtgNvmyu8zZ0ahBCQJMduXOOmNSIiIt/mdjW8ZGLp1OB2gbe5JVlLljreNlZpdXojTpbUtHqsrG9cMFQKCVUNzZvaHIklDURERL6NgddNpdjYmkxvMOLjbWcsG8mcLfuClmSyAR1sXDtRUoMmg0CovwqJ4QGt7tOolOhrfj1nlDWwDy8REZFvY+B1U3Jrso4On/hg6xk8ueYQnvv6iNPHpNMbcbqsDsDFgTczobk1mRDioue2PHDCWsmCs+p4dXoj9EbTeAL9WMNLRETkixh43VRKi5IGawESAAxGgfe3nAYAp/Wwbel0WR30RoEQjQoJYf6t7usbFwylQsL5+iYUVTde9NyjheZyBnMwvpBlhdjBnRrk1V2AJQ1ERES+ioHXTSWE+0OpkKDVG1FaY70v8fdHi5FfYSp5KKpqbLclmCPIRwr3jQu+aJXW30+JtBhTXa+1Ot4jhaYge2H9rsxZRwzXN5k2rKkUEtQqfrsTERH5IiYAN+WnVFhWUdsqa/jPr6ctf9cbBYrbCMaOIrcky4i33oUhs42yBCFEc0lDGy3W+ieYXrOwqhEVdY47EY8b1oiIiIiB143JZQ3WAu/Rwmpsy6mAUiEh3HxIxbkONrh1VVsb1mRymL1whfdcZQOqG/XwU0pIiw229lSE+PuhV3QQAMceQMENa0RERMTA68aa63gvDrLvmVd3pw+MR/94U9A8V+ncFmYdBd62OjXIATgtNqTdsoK2Voi7ol7HQyeIiIh8HQOvG0tuY4W3vFaLNfsKAAC3j+uFRPMRv85c4W1sMuCMeRxtBV75BLW8inpUNzZZbm/rwIkLOaNTg3zoRIAfV3iJiIh8FQOvG7McPnG+deD9dHsedHojhiSFYXhKuKWvrTMObZCdLKmFEEBEoB+ig9VWHxMRpEYPc93xMXNXBqB1S7L2NG9cY0kDEREROQ4DrxtLNq/ctjxtTac34qNtZwAAvxnXC5IkWVZ4zzpxhbdlOUN7R/82lyU0h1Z7V3hPl9WhTqvv0nhl3LRGREREDLxuTK7hLapuhFZvCm7fHCxESY0WsSEazBiUAABI6oaShuMd1O/KLty4VtXQZAniHQXe6GAN4kI1EMK0Kc8R6pu4wktEROTrGHjdWGSQGkFqJYQwhVkhhKUV2W2jUy0bwJLCTcH4XGVDm4dUdNWJYtPBFulttCSTZV6wce2Y+X8TwwMQZu4m0R5H9+NtMNfwctMaERGR72LgdWOSJLXauLYn7zwOnK2CWqXAzaNSLI+LD/OHJAFavRFltY7rYdvScbkHbwcrvHJgPVFcC53e2FzO0EH9bvPzLy6J6AqWNBAREREDr5tLbnHE8H9+zQUAzB7aA1HBGstj1CoF4kJMm8WcsXGtVqu3vG56nPU+urKkiACEaFTQGYw4VVprKW3o30E5g8zRnRosm9bYpYGIiMhnMfC6ueQIU+DdfroC6w8VATBtVruQM1uTnTDX78aGaBAeaL1Dg0ySJPTv0VzHa+uGNZm8QpxdXAOdvutHJdezSwMREZHPY+B1cymRpiC79kAhDEaB0b0jra6Wyq3Jzp53/OETHR04cSE53O4/W2mp/R1gY0lDUkQAQv1VaDIInCip6fgJHWguaWANLxERka9i4HVzKVGBrf59u5XVXaBFpwYnlDRkyxvWbA285nD7zcFC6AxGhGhUlvF1RJIkh5641tAkb1rjCi8REZGvYuB1c3JJAwAkRwbgiv5xVh/nzJKG5hXe9ut3ZfIKr7yBrn+P0HZ7915ILms44oDAy01rRERExMDr5pJaBN6FY3pCqbAeHJ152pol8HbQkkyWHhcCP2XzOG2t35U5slMDa3iJiIiIgdfNBaiVmD4gHv3iQ3DDJcltPq7l4ROO7MVbWa9DcbUWANA31rYVXrVKgbTY5nBsa0syWcsVXoOxa++FRwsTERERd/J4gLduG9HhY3qYV3hrtHpUN+htOuTBFnL9bmJ4AEL8bX/NzIRQy2lp9q7w9okJQnigHyrrm5B1vKTNMg5b1JsPngjw47c6ERGRr+IKr5cIVKsQFWRqGXa20nGdGuyt35XJq7oqhYS+dj5XpVRg/kjTavb7W3Lteu6FuMJLREREDLxexBkb1+xtSSa7tGckAGBYSjg0KvvD5q2jUyFJwM8nynCqtNbu58vqmxh4iYiIfB0Drxdxxsa1zgbeQUlhWHXvGLxx0/BOfd3kyEBc0S8WAPDR1jOdeg2AXRqIiIiIgderWAKvQ1d47evB29KI1EjEh/l3+msvHNsTALBq91nUavV2P99gFJbT2gJ58AQREZHPYuD1InJJw1kHBd6yWi0q6nSQJCDNxg4NjjSuTzR6xwShRqvH6j1n7X6+vGENYEkDERGRL2Pg9SJyz15HlTRkF5nKGVIiA11SEqBQSFgwOhUA8MHWM3a3W5M3rEkSoFHxW52IiMhXMQV4EUfX8B4xtxXrTDmDo1w/IglBaiVOltRi66lyu55rOXTCT2nXSW9ERETkXRh4vYhc0lBRp2v1cX5nfb2/AEBzxwVXCPH3w/UjkgDY36KsecMa63eJiIh8GQOvFwkL8EOIxhTuCrq4ynvoXBX2n62Cn1LCnOGJjhhepy0YYypr2HS0GGfP295juKHJFPpZv0tEROTbGHi9jLzKm9/FjWuf7sgDAEwbEI+oYE2Xx9UVabEhGJcWBaMAPtmeZ/Pz6rTswUtEREQMvF4nyQGHT9Rp9fhy7zkAwM2jUhwyrq5aOKYnAGDFjjw0mg+T6Ah78BIRERHAwOt1HLFx7av9BajTGdArOghjekc5amhdckX/OCSGB+B8fZOltrgjLGkgIiIigIHX6zjieOH/mssZbro02W26GygVEm61tCjLtalFmWWF14+b1oiIiHwZA6+XSQzvWi/eQ+eqcOBsFdRKBa4fnuTIoXXZjZckQ6NS4NC5auzNr+zw8XIfXq7wEhER+TYGXi/TfNqa7d0MWrJsVhvo+s1qF4oIUuPaIT0AAB/Y0KKsnoGXiIiIwMDrdeRNayU1Wuj0RrueW9tys9ql7rFZ7UILx/YEAHxzsBAlNY3tPpab1oiIiAhg4PU6UUFq+PspIARQWGVfWcPX5s1qvaODMLq36w6baM/AxDAMTwlHk0FgxY78dh/boOOmNSIiImLg9TqSJKFHeOc2rn26Xd6sluI2m9WskTevrT9U1O7jmksauGmNiIjIlzHweiG5NdlZOzauHTxbhYPnzJvVRrjXZrULDU0OBwCcLqtrt1tDfRNreImIiIiB1yslWTau2R545c1q0wfGIzJI7ZRxOUpyZCCUCgkNTQYUV2vbfBy7NBARERHAwOuVkiLMrclsDLy1Wj2+2mfarHaTm25Wa8lPqUBKpOk95pTVtvm4enMNbwBLGoiIiHwaA68Xaj5tzbbWZF/tM29Wi3HfzWoX6hUdBMBU1tAWywqvH1d4iYiIfBkDrxeynLZmYw3vpzvOADC1InPnzWotWQJvaduBl314iYiICGDg9UryCm9hZSMMxvaP4D14tgqHzlVDrVRgjpudrNYeW1Z42YeXiIiIAAZerxQX6g+VQoLeKDo8nEFe3b1qkPtvVmupty0lDU1sS0ZEREQMvF5JqZAQH+YPoP1ODTWNTfhyXwEAz9is1lKvGFPgzauoR5PB+oly9Tx4goiIiMDA67Xk1mTtdWr4bGc+6nUG9I0NxqhenrFZTRYX4o8APyX0RmE11BuNAo1NpiDMkgYiIiLfxsDrpRLDza3J2ti4pjcY8d6vuQCAO8b38pjNajKFQkJPS1nDxa3J5HIGgCu8REREvo6B10sldnD4xPrDRThX2YCoIDVmD0vszqE5jFzHm2OlU4O8YQ0A/FUMvERERL6MgddLJYW33ZpMCIF//3waAHDr6FT4e2if2vY6Ncg9eAP8lFAoPGv1moiIiByLgddLNa/wXnz4xJ6889ifXwm1SoFbR6d299Acpr3AW9/EDWtERERkwsDrpeRNawWVDRCidS/ed8yru9cNTURMiKbbx+YocqeGXGuBlz14iYiIyIyB10slhAVAkoDGJiPK63SW2/PK67HhcBEA4I7LerlqeA4h1/AWVDVaShhkDTxljYiIiMwYeL2UWqVArHn1tmVrsve2nIZRABPSY5AeF+Kq4TlEeKAaEYF+AIDc8tarvM0rvDx0goiIyNcx8HqxxAs2rlU1NOHznfkAgDvHe/bqrqytOl7LoRMeuiGPiIiIHIeB14slRph68cob1z7bmYc6nQHpccG4rG+0K4fmML2igwFcHHhZ0kBEREQyBl4v1vK0tSaDEe+bD5q4c3xvjztooi29Y6z34uWmNSIiIpIx8HqxliUN3x4qQkFVI6KD1bh2aA8Xj8xxerVx2pp80hpXeImIiIiB14u1PG3tnZ9zAAC3je7psQdNWNNhDS83rREREfk8pgEvJp+2dry4BkIAGpUCt45OcfGoHKtnlCnwnq9vwvk6HSKC1ABY0kBERETNuMLrxeQVXvnciTnDkxAV7LkHTVgToFaiR5g/AOB0i9Zklk1rXrSaTURERJ3j0sC7fPlyDB48GKGhoQgNDcWYMWPw7bffWu5ftGgRJElq9Wf06NE2v/6KFSsgSRJmz57thNG7v0C1CpHmFU8AuGN8T9cNxonkE9dOt9i4xhVeIiIikrk08CYlJWHZsmXYtWsXdu3ahcsvvxyzZs3C4cOHLY+ZPn06CgsLLX+++eYbm177zJkzeOSRR3DZZZc5a/geQd64NjkjBmmxnn3QRFus1fHWW9qSsWqHiIjI17k0DcycObPVv1944QUsX74c27Ztw4ABAwAAGo0G8fHxdr2uwWDALbfcgueeew4///wzKisrHTVkj3NF/1icKq3FA1f0dfVQnMZaL96GJnnTGld4iYiIfJ3b1PAaDAasWLECdXV1GDNmjOX2rKwsxMbGIj09HXfddRdKSko6fK3/+7//Q0xMDO644w6bvrZWq0V1dXWrP97i91em48AzUzEsJcLVQ3Ga3uYV3hwrK7wsaSAiIiKXf9578OBBjBkzBo2NjQgODsbq1auRmZkJALjqqqswb948pKam4vTp03jqqadw+eWXY/fu3dBorG+++vXXX/Huu+9i3759No9h6dKleO655xzxdtySSuk2v9c4hVzSkFtWB6NRQKGQeNIaERERWbg8CWVkZGDfvn3Ytm0b7r33XixcuBBHjhwBAMyfPx9XX301Bg4ciJkzZ+Lbb79FdnY21q1bZ/W1ampqcOutt+Lf//43oqNtPzp3yZIlqKqqsvzJz893yHuj7pEUEQCVQkJDkwHFNY0AWtbwMvASERH5Opev8KrVaqSlpQEARo4ciZ07d+L111/H22+/fdFjExISkJqaihMnTlh9rVOnTiE3N7dVbbDRaAQAqFQqHD9+HH369LnoeRqNps0VY3J/KqUCKVGByCmtw+nSOiSEBTSXNPi5/FuciIiIXMzt0oAQAlqt1up95eXlyM/PR0JCgtX7+/Xrh4MHD7a67cknn0RNTQ1ef/11JCcnO3y85B56Rwchp7QOOWV1GJsWjQYdN60RERGRiUsD7+OPP46rrroKycnJqKmpwYoVK5CVlYX169ejtrYWzz77LK6//nokJCQgNzcXjz/+OKKjo3HddddZXmPBggVITEzE0qVL4e/vj4EDB7b6GuHh4QBw0e3kXVq2JhNCoL6JJQ1ERERk4tLAW1xcjNtuuw2FhYUICwvD4MGDsX79ekyZMgUNDQ04ePAgPvzwQ1RWViIhIQGTJ0/GZ599hpCQ5n6yeXl5UChcXopMLtayNZlWb7ScLscuDUREROTSwPvuu++2eV9AQAA2bNjQ4WtkZWW1e//7779v56jIE7Vc4ZXrdwEePEFERERu0KWByBF6m48XzquoR3VDEwBArVJAqZBcOSwiIiJyAwy85BViQzQIVCthMAocL64BwPpdIiIiMmHgJa8gSZKlrOFwgemkvEA/Bl4iIiJi4CUvIgfeIwVVALhhjYiIiEwYeMlr9L5whZcb1oiIiAgMvORFepk3rhVWmY4X5govERERAQy85EXkXrwyblojIiIigIGXvEivqKBW/2bgJSIiIoCBl7xIWKAfIoPUln8H+LGGl4iIiBh4ycvInRoArvASERGRCQMveRUGXiIiIroQAy95ldaBlyUNRERExMBLXqY3V3iJiIjoAgy85FXkXrwA+/ASERGRCQMveZWeUVzhJSIiotYYeMmr+PspkRgeAICBl4iIiEwYeMnrTBsQjxCNCgN6hLl6KEREROQGJCGEcPUg3E11dTXCwsJQVVWF0NBQVw+HOkFvMEKl5O9zRERE3sqevMZEQF6JYZeIiIhkTAVERERE5NUYeImIiIjIqzHwEhEREZFXY+AlIiIiIq/GwEtEREREXo2Bl4iIiIi8GgMvEREREXk1Bl4iIiIi8moMvERERETk1Rh4iYiIiMirMfASERERkVdj4CUiIiIir8bAS0RERERejYGXiIiIiLyaytUDcEdCCABAdXW1i0dCRERERNbIOU3Obe1h4LWipqYGAJCcnOzikRARERFRe2pqahAWFtbuYyRhSyz2MUajEQUFBQgJCYEkSV16rerqaiQnJyM/Px+hoaEOGqHn47xYx3lpjfNhHefFOs6LdZyX1jgfF/PUORFCoKamBj169IBC0X6VLld4rVAoFEhKSnLoa4aGhnrUN1F34bxYx3lpjfNhHefFOs6LdZyX1jgfF/PEOeloZVfGTWtERERE5NUYeImIiIjIqzHwOplGo8EzzzwDjUbj6qG4Fc6LdZyX1jgf1nFerOO8WMd5aY3zcTFfmBNuWiMiIiIir8YVXiIiIiLyagy8REREROTVGHiJiIiIyKsx8BIRERGRV2PgJSIiIiKvxsDbRbt27UJjY6Orh0Hk0dgspjVeV4i6jteV1nz9usLA20k5OTmYNWsWLr30Unz++eeuHo7byM/Px8qVK7Fnzx40NTUB4EUHACoqKlBWVgYAMBqNLh6N6xUWFmLevHn47LPPAHBOZLyuWMfrinW8rrTG64p1vK6YMPDaSQiB++67D3379oUkSQgLC0NwcLCrh+UWlixZgvT0dLzyyisYO3Ys7r33XuTk5ECSJJ/+4fTEE0+gX79++Ne//gUAUCj4n927776LVatW4bXXXkN9fT2USqVP/3DidaVtvK5Yx+vKxXhdaY3Xldb4X4gd1qxZg6CgIOzevRtbtmzBmjVr0L9/f3z77bcAfHvFYfv27fjyyy+xcuVKbN68Ge+88w5OnDiB2267DQAgSZKLR9j9Kisrcccdd2DTpk1ISUnBtm3bsHPnTgC+/b0CAFu2bMH8+fOh0Wjw0ksvuXo4LsXrStt4XbkYrytt43WlGa8rF2Pg7UDLb4rS0lJ8/PHH2L59O0aNGoWGhgb06dMHFRUVqK+v98mLr2zNmjUwGAy4+uqr4e/vj1tvvRXLli3DgQMH8Le//Q2Ab/wH1vI9BgQEIDU1FUuWLMErr7yCc+fOYfXq1WhqavKZ1akL36NerwcAJCQkYP78+Rg7diw+//xzHD16FAqFwifmBOB1xVa8rpjwutIaryvW8brSPgbedjQ0NECn01n+fccdd2DOnDkAAIPBgICAAERHR+PkyZMIDAz0mY9O5P+oWr7f2NhYBAQEoL6+3nLb6NGj8cgjj+D555+HVqv1+v/ALvx+UavVePDBBzF79mxMnDgRkydPxk8//YTvvvvOhaPsPhfOhxACKpUKALBz506kp6fjuuuuQ3x8PN566y3odDocOXLEVcPtNryuWMfrinW8rrTG64p1vK50jIG3DUuWLMH48eNxzTXX4O9//ztqamqgUCgs3yTyRfbKK69Ebm4u8vLyfKKG6tVXX8WLL74IoHXNWGhoKFQqFb7//nvLbZIkYeHChQgMDPT61ZgLv1+qq6shSRJCQ0Mt3zMPPPAAhBBYs2YNysrKvHo1pq35MBqNOHfuHIKCgtCzZ09ccsklmDlzJj799FP4+/vjhx9+aHXR9ja8rljH64p1vK60xuuKdbyu2Mb33nEHdDod5s2bh6+++gp//OMf0aNHD7z99tu46aabADRfjOX/NRgMiIqKQn5+vsvG3B127tyJyZMn45FHHsH//vc/bN26FQAsO6bnzZsHnU6H9evXo6SkxPK8hIQETJkyBdnZ2TAYDF63GtPW98vNN98MwHShkS88KSkpuOGGG7Bnzx6sXbvWcr83/XDqaD4UCgVCQ0Ph5+cHSZKwevVq/PnPf0ZTUxMGDRqE+++/H2q12qvmBOB1pS28rljH60prvK5Yx+uKnQS1cuTIEdG3b1+xceNGy22//PKLCAgIEC+99JIwGo1CCCEMBoMQQojy8nKhVqvF2rVrW93ubZ5//nkxd+5c8d5774mpU6eKO++803KfTqcTQgjxz3/+U6Snp4t//etfrZ47btw4cccdd3TreLuLvd8vjY2NYsaMGeKGG24QBw4cEB9//LH485//7JKxO0NH8yGEEN9//71ISEgQAwcOFOHh4eLll18Wb7/9thg6dKj45z//KYTwvv+OeF2xjtcV63hdaY3XFet4XbEPA+8Fdu/eLSRJEuXl5UIIYfmGWbp0qYiIiBDZ2dmtHl9ZWSkmTJgg/vCHP3T7WLuD/P7PnDkjtmzZIoQwzcWoUaPE559/LoQQoqmpyfL4m2++WQwdOlS8/fbb4vz582L37t1i+PDhYsWKFd0/+G5gz/eLfHFZs2aN6N27t4iKihJqtVq8/PLL3T9wJ2lvPsLDw0VOTo5oamoSmZmZ4u677xanT58WQghRUFAgbrjhBjFhwgTR2NjoquE7Da8rrfG60j5eV1rjdcU6Xlfsw8B7gb1794oBAwaIN954QwjR/A2k0+lEr169LN8o8sVYr9eLvn37invuuceyIuHtTp06JWbPni1mz54tKioqhBBCaLVay31PP/20UCqVYsSIESIgIEDccccdXjs3tn6/6PV6IYQQJ0+eFAsWLBCSJIl7771X1NbWumbgTtLefPTs2VP8/ve/F0IIUVxcbLlPdvjwYa/8oSQEryu24HWlGa8rrfG6Yh2vK/bxucB74X8MF6qoqBCzZ88W8+fPFwUFBUKI5m+WV155RfTo0cPyG7V8sfnwww/F8ePHnThq5+toXi583LvvvitGjRolXn31VauPO3TokFi7dq04evSow8bojuz5fhFCiEcffVQkJSWJAwcOuGS8ztbRfCQkJFz0MZqt33uezFevK7bidaU1Xlda43XFOl5X7ONTm9aqqqpgMBgs/27ZlkPu4xcREYGZM2fi2LFjliP45JYnYWFhiIiIsBR8K5VKAMBtt92G9PT0bnkPzmDLvMjkx82dOxeZmZlYu3YtTpw4AQDYs2eP5fkDBgzA1VdfjX79+jl7+E5TUlKC0tJSy+7elnNk7/eLPKfLli1Dfn4+Bg0a1J1vxSEcMR+RkZEXbZjw9A1Hjvw+AbznumLLvMh86bpy8uTJNluI+eJ1xRHz4Y3XFUd+nwDec13pCp8IvE1NTVi8eDFmzJiBGTNm4Pnnn4fRaIRCobB846hUKjQ2NmLFihW4/fbbMXToUHz22WfYvHmz5XXOnj2LmJgYpKamuuqtOJSt89LU1IQPPvjA8m+j0YjQ0FDMmzcPRqMRzz33HK644gqMHDkS58+f9/h2J01NTbjnnnswYcIEzJw5E9deey20Wi2USqVl97i93y8X7pb1JM6YD2/AebHO1nnxtesKABw4cADp6em4+eabcebMGcvtcnD1pesK4Pj58BacFydx9RKzs23cuFGkpaWJiRMnitWrV4vbb79dZGRkiCeeeKLV415//XURGRkpZs2aJYQQYv/+/eKWW24RarVa3HvvveLuu+8WISEhYvny5UIIz/+4xN55uf766y11dbIzZ86IPn36CEmSxI033iiKioq68y04xRdffCH69OkjJk6cKH744Qfxr3/9S/Tu3Vvcd999rR7nK98vnA/rOC/W2TsvvnJdke3cuVNMnz5dxMfHXzQnQvje9wvnwzrOi3N4deCtqqoSd955p1i8eLGlQFur1YpnnnlGTJs2TdTV1QkhhHjzzTdFr169xCeffNKqDshoNIoXX3xR3HXXXWLGjBni119/dcn7cLTOzMuF/8F8//33Ijg4WAwdOlTs2rWr29+DsyxevFg89dRTrXaIL1y4UDz88MOWf7/xxhuiZ8+ePvH9wvmwjvNinb3z4ivXFdnbb78tbrrpJvH9998LlUoltm/fbrnvH//4h899v3A+rOO8OIckhJd1Ym6hqqoKa9aswZAhQzB06FAIISBJEh577DFs3boVP/74IwBTPYxWq0VQUJDlufJjvVFX5kVWXl6OjRs3WhpcezqDwQClUomioiI0NTUhOTkZAHDmzBnMmTMHN998M8aMGYOxY8f6xPcL58M6zot1XZ0XmbddVy70wQcf4OjRo1i2bBnGjh2LiIgIrFu3Dk1NTfDz80NDQwMCAgIsj/fW7xcZ58M6zotzeGbhTxu++eYbAM11LmFhYVi4cCGGDh3a6vbq6mr07t0bQPM53BdefL3pm8eR8yLfFxUV5fE/lOR5EUJYCvrj4+MtP6zfeOMN9OrVC4GBgfj6669xzTXX4JlnnoFer/fK7xfOh3WcF+scOS/y63jbdeVCe/bsQV1dHQDg008/xfr163HVVVfhsssuw9GjR1uFGMA7vl84H9ZxXlygO5eTnWXt2rUiMTFRSJJkWca3doKI/PHZqFGjxDvvvNPqNm/EebHO2rxYe7/vv/+++Omnnyz3ffLJJyIgIEDk5uZ263idjfNhHefFOs6Lde3Ni/y/N954o9i0aZMQQoh33nlHBAQECD8/P7Fy5UrXDNqJOB/WcV5cx+NLGn755Re88MILSEtLw6lTp1BaWoqdO3e2+fjTp09j1KhR+Pnnn5GRkQEAyMnJQe/evS0fy3kDzot1tsyLaOPjoWPHjmHgwIH49ttvMWXKlO4aslNxPqzjvFjHebGuo3mRu98sWrQIRqMRx44dQ25uLh544AG88soreOqpp/Dwww+78B04FufDOs6Li7kybXeF/JtQdna2ePXVV0VOTo7YtWuXCAwMtKxSWlvNXL58uRg+fLgQQog9e/aISy+9VMTExLTaZOHJOC/WdXZeWlq6dKmYOnWqqK+vd/p4nY3zYR3nxTrOi3X2zEt9fb247rrrRFRUlFi8eLE4e/asEEKIZcuWCUmSLMfhejLOh3WcF/fgcYF39+7dorKystVt8gkiTU1N4g9/+IOIiYm56ChB+Rvu/vvvF3PnzhUPPfSQUCgU4o477vCKYwc5L9Z1dl5kZ86cESdPnhR33nmn6NGjh3j//feFEJ5b8sH5sI7zYh3nxTp750W+b8eOHeLw4cOtntfY2CheeumlDn9hcGecD+s4L+7FYwLvypUrRVJSkujTp49ISUkRTz/9tCgsLBRCmC6e8gU0JydHJCcnW86QbnlhNRgMIjU1VUiSJCZNmnTRN5Qn4rxY54h5yc7OFg8//LBISkoSkydP9ujjGDkf1nFerOO8WNfZeZGDjLfhfFjHeXFPHhF4d+7cKfr16ydee+01sX//fvHmm2+KmJgYce+994ry8nIhRPM3itFoFG+++aZQqVQiJydHCGHqMVtXVycaGhrEiy++KDZs2OCy9+JInBfrujovjY2NQqvVCqPRKDZv3uzx/Qw5H9ZxXqzjvFjnqOutfL+n43xYx3lxX24deOX/s5cvXy6SkpJEVVWV5b5//OMfYvTo0eL555+/6Hnl5eVi7NixYtasWWL37t1iypQp4qOPPuq2cTsb58U6R8+Lp19sOB/WcV6s47xY56h5mTp1qlfMC+fDOs6L+3PrPrzyTt/Tp08jPT0dKpXKct+iRYswYsQIfPvttzh8+DAAU/NzAIiMjMRdd92Fr776Cpdccgk0Gg3mzJnT/W/ASTgv1jl6Xjy9tyHnwzrOi3WcF+scNS9qtRrXX3+9x88L58M6zosHcHXibmnjxo3i/vvvF6+99lqro/S+/PJL4e/vL06dOiWEaP44YOPGjWLcuHHi1VdftTxWq9WKf/7zn0KhUIiJEyeKQ4cOde+bcALOi3Wcl9Y4H9ZxXqzjvFjHeWmN82Ed58XzuEXgLSgoENdcc42IjY0Vt9xyixg0aJAICwuzfBM1NDSIfv36ibvvvlsI0br9zWWXXSbuu+8+y7+LiorEgw8+KD744IPufRNOwHmxjvPSGufDOs6LdZwX6zgvrXE+rOO8eC6XB966ujqxcOFCMX/+fEvRthBCXHLJJWLRokVCCNNvSB9++KFQKBQXbYC45ZZbxOTJk7t1zN2B82Id56U1zod1nBfrOC/WcV5a43xYx3nxbC6v4Q0MDIRGo8GiRYvQq1cv6PV6AMA111yDo0ePAgCUSiVuuOEGzJo1C3feeSd+/PFHCCFQVFSEEydO4JZbbnHlW3AKzot1nJfWOB/WcV6s47xYx3lpjfNhHefFw7ksareg0+ksf5d3Jt56663irrvuanVbQ0ODmDRpkoiNjRVTp04VPXr0EKNHjxZ5eXndP+huwHmxjvPSGufDOs6LdZwX6zgvrXE+rOO8eC5JCCFcHbqtmTBhAm6//XYsWrQIQggYjUYolUoUFxfjwIED2LlzJ3r27Imbb77Z1UPtVpwX6zgvrXE+rOO8WMd5sY7z0hrnwzrOi4dwUdBu16lTp0RcXJzYtWuX5TatVuvCEbkHzot1nJfWOB/WcV6s47xYx3lpjfNhHefFc7i8hrclYV5s/uWXXxAcHIwRI0YAAJ577jk8+OCDKCkpceXwXIbzYh3npTXOh3WcF+s4L9ZxXlrjfFjHefE8qo4f0n3kRss7duzA9ddfj++++w5333036uvr8dFHHyE2NtbFI3QNzot1nJfWOB/WcV6s47xYx3lpjfNhHefFA7lsbbkNDQ0NIi0tTUiSJDQajVi2bJmrh+QWOC/WcV5a43xYx3mxjvNiHeelNc6HdZwXz+KWm9amTJmCvn374tVXX4W/v7+rh+M2OC/WcV5a43xYx3mxjvNiHeelNc6HdZwXz+GWgddgMECpVLp6GG6H82Id56U1zod1nBfrOC/WcV5a43xYx3nxHG4ZeImIiIiIHMWtujQQERERETkaAy8REREReTUGXiIiIiLyagy8REREROTVGHiJiIiIyKsx8BIRERGRV2PgJSLyApMmTcLvf/97Vw+DiMgtMfASEfmYrKwsSJKEyspKVw+FiKhbMPASERERkVdj4CUi8jB1dXVYsGABgoODkZCQgFdeeaXV/R9//DFGjhyJkJAQxMfH4+abb0ZJSQkAIDc3F5MnTwYAREREQJIkLFq0CAAghMBLL72E3r17IyAgAEOGDMHKlSu79b0RETkDAy8RkYd59NFHsXnzZqxevRobN25EVlYWdu/ebblfp9Ph+eefx/79+7FmzRqcPn3aEmqTk5OxatUqAMDx48dRWFiI119/HQDw5JNP4r333sPy5ctx+PBhPPTQQ7j11lvx448/dvt7JCJyJEkIIVw9CCIisk1tbS2ioqLw4YcfYv78+QCAiooKJCUl4e6778Zrr7120XN27tyJSy+9FDU1NQgODkZWVhYmT56M8+fPIzw8HIBp1Tg6Oho//PADxowZY3nunXfeifr6enz66afd8faIiJxC5eoBEBGR7U6dOgWdTtcqlEZGRiIjI8Py77179+LZZ5/Fvn37UFFRAaPRCADIy8tDZmam1dc9cuQIGhsbMWXKlFa363Q6DBs2zAnvhIio+zDwEhF5kI4+lKurq8PUqVMxdepUfPzxx4iJiUFeXh6mTZsGnU7X5vPkULxu3TokJia2uk+j0XR94ERELsTAS0TkQdLS0uDn54dt27YhJSUFAHD+/HlkZ2dj4sSJOHbsGMrKyrBs2TIkJycDAHbt2tXqNdRqNQDAYDBYbsvMzIRGo0FeXh4mTpzYTe+GiKh7MPASEXmQ4OBg3HHHHXj00UcRFRWFuLg4PPHEE1AoTHuQU1JSoFar8cYbb+Cee+7BoUOH8Pzzz7d6jdTUVEiShLVr12LGjBkICAhASEgIHnnkETz00EMwGo0YP348qqursWXLFgQHB2PhwoWueLtERA7BLg1ERB7mr3/9KyZMmIBrr70WV155JcaPH48RI0YAAGJiYvD+++/jiy++QGZmJpYtW4aXX3651fMTExPx3HPP4bHHHkNcXBx+97vfAQCef/55PP3001i6dCn69++PadOm4euvv0avXr26/T0SETkSuzQQERERkVfjCi8REREReTUGXiIiIiLyagy8REREROTVGHiJiIiIyKsx8BIRERGRV2PgJSIiIiKvxsBLRERERF6NgZeIiIiIvBoDLxERERF5NQZeIiIiIvJqDLxERERE5NX+H6cYfQu7XblOAAAAAElFTkSuQmCC\n", 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<xarray.DataArray 'salinity' (level: 78)>\n",
       "array([35.47483063, 35.47483063, 35.47383118, 35.47383118, 35.47383118,\n",
       "       35.47483063, 35.48183441, 35.47983551, 35.4948349 , 35.51083755,\n",
       "       36.13380051, 36.09579849, 35.95479965, 35.93979645, 35.8958931 ,\n",
       "       35.86388397, 35.87788773, 35.88188934, 35.90379333, 35.9067955 ,\n",
       "       35.86588669, 35.8588829 , 35.86088181, 35.85188293, 35.85788345,\n",
       "       35.82787323, 35.78786469, 35.73185349, 35.69784927, 35.67684174,\n",
       "       35.677845  , 35.65784073, 35.64083481, 35.6238327 , 35.59682846,\n",
       "       35.57782364, 35.56182098, 35.55781937, 35.52181625, 35.49881363,\n",
       "       35.51381302, 35.49981308, 35.47280884, 35.47880936, 35.44780731,\n",
       "       35.39379501, 35.35879135, 35.28778076, 35.21878052, 35.20677567,\n",
       "       35.17777252, 35.15076828, 35.07276535, 35.01475525, 34.9797554 ,\n",
       "       35.0117569 , 35.03975677, 35.05575562, 35.00975037, 34.96175385,\n",
       "       34.96775055, 34.95075226, 34.93775177, 34.93375015, 34.93775558,\n",
       "       34.9247551 , 34.92175674, 34.91975403, 34.91975403, 34.91975403,\n",
       "       34.92176056, 34.92375946, 34.92575836, 34.92575836, 34.92475891,\n",
       "       34.93076324, 34.92176437,         nan])\n",
       "Coordinates:\n",
       "  * level    (level) int64 0 1 2 3 4 5 6 7 8 9 ... 68 69 70 71 72 73 74 75 76 77\n",
       "    date     datetime64[ns] 2012-10-22T02:50:32.006400\n",
       "    lon      float64 -32.97\n",
       "    lat      float64 44.13
" ], "text/plain": [ "\n", "array([35.47483063, 35.47483063, 35.47383118, 35.47383118, 35.47383118,\n", " 35.47483063, 35.48183441, 35.47983551, 35.4948349 , 35.51083755,\n", " 36.13380051, 36.09579849, 35.95479965, 35.93979645, 35.8958931 ,\n", " 35.86388397, 35.87788773, 35.88188934, 35.90379333, 35.9067955 ,\n", " 35.86588669, 35.8588829 , 35.86088181, 35.85188293, 35.85788345,\n", " 35.82787323, 35.78786469, 35.73185349, 35.69784927, 35.67684174,\n", " 35.677845 , 35.65784073, 35.64083481, 35.6238327 , 35.59682846,\n", " 35.57782364, 35.56182098, 35.55781937, 35.52181625, 35.49881363,\n", " 35.51381302, 35.49981308, 35.47280884, 35.47880936, 35.44780731,\n", " 35.39379501, 35.35879135, 35.28778076, 35.21878052, 35.20677567,\n", " 35.17777252, 35.15076828, 35.07276535, 35.01475525, 34.9797554 ,\n", " 35.0117569 , 35.03975677, 35.05575562, 35.00975037, 34.96175385,\n", " 34.96775055, 34.95075226, 34.93775177, 34.93375015, 34.93775558,\n", " 34.9247551 , 34.92175674, 34.91975403, 34.91975403, 34.91975403,\n", " 34.92176056, 34.92375946, 34.92575836, 34.92575836, 34.92475891,\n", " 34.93076324, 34.92176437, nan])\n", "Coordinates:\n", " * level (level) int64 0 1 2 3 4 5 6 7 8 9 ... 68 69 70 71 72 73 74 75 76 77\n", " date datetime64[ns] 2012-10-22T02:50:32.006400\n", " lon float64 -32.97\n", " lat float64 44.13" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "argo.salinity[:, 10]" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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EOzu7Kp9bCIHJkydj3bp1+PHHH0uEl4kTJ+r94NGzZ0+EhoZW6hyOjo7Izc1FdnY2LCws9J5LTk7WBdbSephK60kqr70elpKSgv79++P27dvYt29fqT2MFa0fKPt7UFovHwCsXbsWr7/+Ol577TUsW7asSucu9sorr2DmzJk4duyYLvA6OjrizJkzJfbNyspCfn5+mXU9ysTEBB07dgQAPPXUUxg0aBAaNWqExYsXY8WKFSX2r8p1OTo6ltl+wIMe1cq834v3HThwoN5+bdu2hbu7O06dOgWg6LPjo48+wuLFi6FSqXTT0xUWFkKr1SI1NRVqtRrm5uaV+l5XV/s/TlJSUqk/eBSHzkdrfXQMe/Gv9R/3GWllZYW2bdtWqKayfhAtZmpqqvf12rVrMWHCBN3X9vb2uvdc79690aRJE7z00kslfqADHv8ZVZZVq1ZBCIE333wTU6dOhUKhwNixY+Hq6ordu3eXOtYfKBrO4OzsXOHzUN3CwEuysLe3hyRJiI+PL/Hco9u2bduGrKwsbNmyBd7e3rrtpf2HUxYnJyc4OjqWeTOJtbV1ua+viSENCxYswPz58zF//nzMmjWrxPNNmjSBubk5IiIiSjwXERGBpk2b6vWOV0bxfyRr167FmjVr8Morr5TYZ/78+Xqh8nFtVJrisbsRERF6vfDx8fFITEzUzYVaWg/Toz1Jj2uvYikpKejXrx9u3ryJv/76q9QxmRVVXF9ERESJX4dHRESUOpfr2rVrMXnyZIwfPx6rV6+utt6+h3ulWrdujeDgYMTHx+v9gFj8XilrjtnH8fT0hIeHB65evVriuapeV+vWrbFhwwYUFhbqhaVHa63M+72876kQQtdWN27cQE5ODqZPn47p06eX2Nfe3h7Tp0/HF198UanvdU21/6McHR11v4Z/2J07dwAUfa5Vh+oc0vDov+NGjRqVe7zim0offc9V5DOqLJaWlvj555/x5ZdfIjY2Fh4eHnByckLz5s3RrVu3UkP76dOncfr0abz77rslQjsZidqdFILogS5duggPDw+Rk5Oj25aeni4cHBz0piUrnlMxLi5Ot02r1YrOnTsLAGL//v267SNGjBAuLi4lzrVu3ToBQBw7dqxKtSYmJooTJ05U6FER//rXvwQAMWfOnHL3e/HFF4WLi4tIT0/XbYuOjhYqlUq8//77Zb6uvGnJtFqtmDRpkpAkSXzzzTcVqrc85U1LlpSUJMzMzMTUqVP1ti9atKjC05IJUfH2Sk5OFu3btxd2dnYV/l48blqyzp07i1atWulNnxUWFiYAiFWrVpU4lkKhEOPGjau2KY2WLFkiAIht27bpthVPi7V48WK9fV9//fUnmhYrMjJSKBQK8dZbb+ltf5LrKp7qLDg4WG/7oEGDSkxLVtH3e0pKirCwsBD9+/fXO+bJkycFAPHxxx/r9tu/f3+JR5s2bYSPj4/Yv3+/iIyM1L2+ot/rmmp/PDIt2ejRo4WZmZm4ffu23n7PPPOMsLCwEKmpqUIIIfbv3y8AiE2bNuntd/PmTd0c0+VJT0+v8OdbXl5ela6tLGvWrBEAxK+//qrbVt2fUUII8dtvv5X4d/SwadOmCQDi4sWL1XI+MjwMvCSbPXv2CIVCIbp37y62bt0qfv31V9GpUyfh5eWlF3gvXbokVCqV6NWrl9i5c6fYsmWL6N+/v2jWrFmJwFs8h+/KlSvF8ePHdSGmsLBQDB48WDg4OIgFCxaIXbt2iT///FP88MMPYvz48WLLli21dt2fffaZACAGDRpU6qTnD7t06ZKwsrISTz/9tO7aW7VqVepE/CdOnBCbNm0SmzZtEl5eXsLf31/3dVRUlG6/t956SwAQEydOLHHuU6dOVegaEhISdMcunqR95cqVYtOmTSI0NFRv3+KFJ2bNmiVCQ0PFsmXLhFqtrvDCExVtr+zsbNGpUychSZJYsWJFif2uXbtW6vEfF3j3798vTExMxPDhw8XevXvF+vXrhZeXV4nFCP73v/8JhUIh2rdvL44cOVLi/A/vGxoaKpRKpViwYIFu28GDB8XAgQPF6tWrxZ49e8T27dvFG2+8IZRKpejTp0+JoFm88MGyZctEaGiomDVrVqkLH5R2rrNnz4o+ffqIlStXipCQELFnzx6xfPly4enpKZydnfXeL5W5rgULFgilUlniPdC/f39hb28vvvnmG7Fv3z4xZcoUAUCsW7dOb7/KvN+L3xfjx48XISEh4ocffhBeXl6iYcOGjw2cZc3DW9HvdWXavziMVmR+3Uf3u3z5srC2tha+vr5i3bp1YufOnWLMmDECgFi6dGmJc1Q18NaG1atXizFjxogff/xR7Nu3T/z+++/ivffeE+bm5qJbt256cx9X5jOqT58+QqlU6m379ddfxZdffin27t0rfv/9d/Huu+8KExOTEj94F8vJyRH29vaiW7duZdZf2r8jIYTu3+fjaiL5MfCSrLZv3y4CAgKESqUSDRs2FIsXLy514Ynff/9dtGnTRpiZmYkGDRqIf/7zn2LXrl0lAm9ycrJ44YUXhJ2dnZAkSe84BQUF4rPPPtMdx8rKSjRv3ly8/vrrer08Na1nz54CQJmPR4WHh4u+ffsKCwsLYWNjI4YNG1ZqeBs/fnyZx3z4Pzxvb+8y96vooh3F/8GW9iitZ3nFihXC19dX932eN2+eyM/Pr9b2Kv7PvazH+PHjSz3+4wKvEEU/nHXt2lWYmZkJBwcHMW7cuBKT45fX/o/2gJcWgiIjI8WQIUNEgwYNhFqtFmZmZqJ169Zi4cKFpS6ukJ+fL+bNmycaNmwoVCqV8PX1FV9++WWJ/Uo7V3x8vHjllVdEkyZNhIWFhVCpVKJx48Zi6tSpIiYmpsrXVfxv9+F/k0IULRTy9ttvCzc3N6FSqURAQIDYsGFDqW1d0fe7EEJ8++23olWrVkKlUglHR0cxZswY3Qp55SlvgY+KfK+FqHj7//777wKAWL169WPrKi0YR0REiKFDhwpbW1uhUqlEmzZtSgTYuhB4jxw5Ip599lnh4eEhVCqVsLCwEG3atBEff/yxyMrK0tu3Mp9RxZ8PD9u6dato27atsLS0FObm5qJjx45izZo1QqvVllrb+vXrBQDx/fffl1l/WT+4lPaZV1pNJD9JiCrMoURERESP9d5772HDhg2IjIys8ph7InpyXHiCiIiohuzfvx9z585l2CWSGXt4iYiIiMiosYeXiIiIiIwaAy8RERERGTUGXiIiIiIyagy8RERERGTUuLRwKbRaLe7cuQNra+tqWxaUiIiIiKqPEAIZGRnw8PDQW369NAy8pbhz5w68vLzkLoOIiIiIHiM2Nhaenp7l7sPAWwpra2sARQ1oY2MjczVERERE9Kj09HR4eXnpclt5GHhLUTyMwcbGhoGXiIiIyIBVZPgpb1ojIiIiIqPGwEtERERERo2Bl4iIiIiMGgMvERERERk1Bl4iIiIiMmoMvERERERk1Bh4iYiIiMioMfASERERkVFj4CUiIiIio8bAS0RERERGjYGXiIiIiIwaAy8RERERGTUGXiIiIiIyagy8VGfEpeVgwtq/8delu3KXQkRERHUIAy/VGbvPxyP0yj28veE0YpOz5S6HiIiI6ggGXqozsvI1uj/f+/UctFohc0VERERUFzDwUp2Rcz/wAkDYjST8fCxaxmqIiIiormDgpToj+37g9bA1AwAs3nUZNxOz5CyJiIiI6gAGXqozcgqKAu+oTg0R2NgROQUazNx0FhoObSAiIqJyMPBSnZGTXwgAsFQrsfSFAFipTXAyOgVrDt+QuTIiIiIyZAy8VGcUD2kwVynh5WCBOc+0AAB8tucqIu9myFkaERERGTAGXqozioc0mJsqAQCjOnmhl58z8gu1eHfTWRRqtHKWR0RERAaKgZfqjOJZGixURYFXkiQseT4ANmYmOHcrDatCr8tZHhERERkoBl6qM4p7eM3u9/ACgKuNGRYEtQQAfLkvEhfupMlSGxERERkuBl6qMx708JrobR/WtgEGtnRFgUZg5iYuSEFERET6GHipziju4S0e0lBMkiQsHN4aZqYKXIpLxw3OzUtEREQPYeClOqN4loaHhzQUc7JSo7mbDQDgcnx6rdZFREREho2Bl+qMR29ae1QL96LAeymOgZeIiIgeYOClOqFQo0X+/WnHzEvp4QWAFu7WAIBLcZyTl4iIiB5g4KU6oXj8LlC08ERpint4L7OHl4iIiB7CwEt1QnHglSRAbVL629bPraiH905aLlKz82utNiIiIjJsDLxUJ+jG75oqIUlSqfvYmJnC094cAIc1EBER0QMMvFQn6JYVfmQO3kfxxjUiIiJ6FAMv1QnFU5KZq8p/y+rG8XJqMiIiIrqPgZfqhAdDGsrv4fXnTA1ERET0CAZeqhOKA69ZGTM0FCtefOLK3QwU3p/GjIiIiOo3Bl6qE7ILHty0Vp6GDhawVCmRX6jFTS4xTERERGDgpToiVzeGt/zAq1BIuunJLsVzWAMREREx8FIdkZ1fCODxgRcAmnOmBiIiInoIAy/VCTkFReNxHzekAeDUZERERKSPgZfqhJxK9PAWz9RwmTM1EBERERh4qY7IruAYXgDwuz9TQ3x6LlKyuMQwERFRfcfAS3WCbqW1CgxpsFKboKGDBQAOayAiIiIGXqojdAtPVKCHFwBa3B/WcJGBl4iIqN5j4KU6oTI9vMDDSwxzHC8REVF9x8BLdcKDMbzlLy1crHjFNQ5pICIiIgZeqhMqO6TB/34Pb+TdTBRwiWEiIqJ6jYGX6oTKDmnwtDeHldoE+RouMUxERFTfMfBSnVCZldaAR5YY5rAGIiKiek3WwLtq1SoEBATAxsYGNjY2CAwMxK5du/T2uXTpEp577jnY2trC2toaXbt2RUxMTLnH3bx5M/z9/aFWq+Hv74+tW7fW5GVQLci9v9JaRXt4Ac7UQEREREVkDbyenp5YvHgxwsPDER4ejj59+iAoKAgXLlwAAFy/fh3du3dH8+bNERoairNnz2Lu3LkwMzMr85hhYWEYNWoUxo4di7Nnz2Ls2LF48cUXcfz48dq6LKoBxT28FR3DCzy8xDBnaiAiIqrPJCGEkLuIhzk4OGDZsmWYNGkSXnrpJZiamuLnn3+u8OtHjRqF9PR0vZ7iQYMGwd7eHhs2bKjQMdLT02Fra4u0tDTY2NhU+hqo+jWfuwu5BVoceq83vO4vKvE4J6NT8Pyqo3CxVuPv2f1quEIiIiKqTZXJawYzhlej0SA4OBhZWVkIDAyEVqvFjh074Ovri4EDB8LFxQVdunTBtm3byj1OWFgYBgwYoLdt4MCBOHr0aJmvycvLQ3p6ut6DDIdWK3RDGirTw9vczRqSBCRk5CEpM6+myiMiIiIDJ3vgjYiIgJWVFdRqNaZOnYqtW7fC398fCQkJyMzMxOLFizFo0CDs2bMHw4cPx4gRI3DgwIEyjxcfHw9XV1e9ba6uroiPjy/zNYsWLYKtra3u4eXlVW3XR0+ueIYGALCo4Dy8AGCpNoG3bolhDmsgIiKqr2QPvH5+fjhz5gyOHTuGN954A+PHj8fFixeh1Rb16AUFBeGdd95B27Zt8cEHH+DZZ5/F6tWryz2mJEl6XwshSmx72Icffoi0tDTdIzY29skvjKrNw4FXbVK5t2zxAhSX49lrT0REVF/JHnhVKhWaNm2Kjh07YtGiRWjTpg1WrFgBJycnmJiYwN/fX2//Fi1alDtLg5ubW4ne3ISEhBK9vg9Tq9W6mSKKH2Q4ihedMDdVQqEo+weX0hTfuMaZGoiIiOov2QPvo4QQyMvLg0qlQqdOnXDlyhW9569evQpvb+8yXx8YGIi9e/fqbduzZw+6detWI/VSzdMtOlGJ8bvFiqcm45AGIiKi+qviAyJrwKxZszB48GB4eXkhIyMDwcHBCA0NRUhICADgn//8J0aNGoWnn34avXv3RkhICH7//XeEhobqjjFu3Dg0aNAAixYtAgBMnz4dTz/9NJYsWYKgoCD89ttv+PPPP3H48GE5LpGqQXZ+5VZZe1hxD++1hAzkF2qhquSQCCIiIqr7ZA28d+/exdixYxEXFwdbW1sEBAQgJCQE/fv3BwAMHz4cq1evxqJFi/D222/Dz88PmzdvRvfu3XXHiImJgULxIMR069YNwcHBmDNnDubOnYsmTZpg48aN6NKlS61fH1UP3ZCGKvTwetqbw1ptgoy8QtxIzNSN6SUiIqL6w+Dm4TUEnIfXsOy7fBcTfwhHgKcttr/V/fEveMTI1UdxIioF/x7VBsPbedZAhURERFTb6uQ8vERleZIhDQBXXCMiIqrvGHjJ4D3JkAbgwdRklzhTAxERUb3EwEsGr3iWhsqssvYwztRARERUvzHwksEr7uE1q+KQBr/7SwwnZubhXgaXGCYiIqpvGHjJ4BWP4a1qD6+FygQ+jpYAOKyBiIioPmLgJYOXW/BkN60BD4Y1fLbnCiJupVVLXURERFQ3MPCSwdPN0qCq+rTRE7o1grmpEudupeG5rw/jg83nkJjJ4Q1ERET1AQMvGbwnHdIAAJ0bOWDfzJ4IausBIYDgE7Ho/Vko1hy+iQKNtrpKJSIiIgPEwEsGrzqGNACAu605VrzUDr9ODUSrBjbIyC3Ex39cxOAVh3Ao8l51lEpEREQGiIGXDF52fiGAqs/D+6iOPg74bVp3LBrRGg6WKlxLyMTYNX9j1taIajk+ERERGRYGXjJ4OdXUw/swpULC6M4NsX9mL0x8qhEUEvDL8Rjsv5JQbecgIiIiw8DASwYvpxrG8JbF1twUHw31x8SnGgEAPv79IvILOaaXiIjImDDwksGriR7eR73drxmcrFS4kZiFH47erLHzEBERUe1j4CWD92BaspoLvDZmpnhvUHMAwIo/I5GQnltj5yIiIqLaxcBLBu/BkIaqz8NbES+090QbT1tk5WuwJORKjZ6LiIiIag8DLxm82hjSAAAKhYT5z7UEAGw+dQunYlJq9HxERERUOxh4yaAJIR4E3hoc0lCsXUN7vNDBEwAwf/sFaLWixs9JRERENYuBlwxaXqEW4n7mrI3ACwDvDfKDldoE526l4deTt2rlnERERFRzGHjJoBXfsAbU/JCGYi7WZpjetxkAYEnIZaTlFNTKeSsiM68QV+9mIPRKAvZciGcPNBERUQXU7F1ARE+oeDiDykQBpUKqtfOO7+aDDSdicONeFr78KxJzn/WvtXMDRUM5/jgXh+M3kxCXmovbqTm4k5qD9NxCvf3e6eeL6f2a1WptREREdQ17eMmg5dxfVrgmFp0oj8pEgY/uh9wfj0Yh8m5GrZ27QKPFh1si8I8Np7HuWAz+upyAy/EZurBra26KJs6WAICv91/D9XuZtVYbERFRXcQeXjJoxUMaLGppOMPDevm5oF8LV/x56S4W/H4RP0/qDEmq2V7mtJwCvLn+JI5cS4IkAeO6esPPzQYedmZoYGcOdztzWKlNIITAhLUncODqPczeGoENU7rWeG1ERER1FXt4yaAVz8FrVss9vMXmPtsCKqUCh68lYlN4zd7AFpOUjRErj+DItSRYqJT4dmxHLAhqhZe7NEQvPxc0c7WGlbroZ1RJkvDJsFYwM1Xg2I1kbOLNdURERGVi4CWDll1QvOiEPIHX29ESb/dtCgCYs+08TtfQ3Lwno5MxbOURXL+XBXdbM2yaGoh+/q7lvsbLwQLv9PMFAHy68xKSMvNqpDYiIqK6joGXDFpufu0sOlGeN3s1RX9/V+RrtJi67iQSMqp32eHfztzG6G+PIzkrH60b2GLbtKfQ0sO2Qq+d2L0RWrjbIDW7AJ/suFStdRERERkLBl4yaMVjeM1reFnh8igUEj5/sQ2auljhbnoe3lx3CvmF2ic+bmZeIb748yqmB59BfqEWA/xdsfH1rnC1MavwMUyVCiwa0RqSBGw9fRuHIu89cV1ERETGhjetkUF7sKywvD+bWZuZ4puxHRD09RGER6dgwe8XsHB468e+TgiBO2m5uJ6Qiev3MnHjXhau3yv6+930B0MQXn+6Md4f1ByKKky91tbLDuMDffDD0SjM2XYeu2c8DTMZe8SJiIgMDQMvGbTim9YsZOzhLdbY2QorXmqLST+GY/3xGLRqYIvRnRuWuq8QAnsv3sWy3VcQmVD2tGFuNmZ4p38zjOpU+nEq6t0Bvgg5H4/opGx8+Vck3hvU/ImOR0REZEzkTxFE5XgwpMEweiz7NHfFu/198dmeq/jot/PwdbVCB28HvX1ORqdg8a5LOBFVdIObiUKCj5MlmjhborGzFZo4W+n+bmtuWi11WZuZYkFQS7z+80l8c/AGnmvrgeZuNtVybCIiorqOgZcM2oMhDYYReAFgWu+muHAnHbvOx2PqulP44x/d4Wpjhhv3MrE05ApCLsQDAMxMFZjUvRFe79kENmbVE2zLM7ClGwb4u2LPxbuYtSUCv07tVqUhEkRERMaGgZcMmlwrrZVHkiR8NrINbtzLwpW7GZi67iRaethgw9+x0GgFFBIwsoMX3unvCzfbit+AVh0WBLXE0etJOBWTik93XsLoLg3R2MmSi1IQEVG9xsBLBq24h9fQbsKyVJvgm3EdMPQ/h3E6JhWnY1IBAH2bu+D9wc3h62otS13utuaYOcAX83+/iO8O38R3h2/Cw9YMPZo5o3szJzzV1AkOlqpSXyuEQEZeITJzC+FmY8beYSIiMhoMvGTQdEsLG1APbzFvR0t89XJ7TF13Es1crfHh4Obo2thR7rIwLtAHpiYK7IyIw4moFNxJy8XG8FhsDI+FJAGtG9iihZsNMvIKkJyVj5SsAiRn5yMlKx+FWgGg6Ga6oW3cEdS2AVp62FSohzgxMw+xydlo42nHsExERAZFEkIIuYswNOnp6bC1tUVaWhpsbHjjj5wm/3gCf15KwOIRrfFSGTMiyK1Qo4WJ0jCntM7J1+DvqGQcunoPhyITceVuxmNfo5AA7UOfCo2dLPFcWw8818YDjZ2tABT1Bt9MzEJ4VApORCXjZHQKbiRmAQDGdGmIT4a14jAKIiKqUZXJa+zhJYNmaLM0lMZQwy5Q1G49fZ3R09cZAHA3PReHIxNxKyUH9pamsLdQFT0sTeFgWfR3SQJCr9zD9jN38Oelu7iRmIUv/ozEF39GonUDW7jZmuFUdAqSsvJLPef64zHwcbTElKcb1+alEhERlYmBlwxatgHNw2sMXG3M8HwHz8fuN7ClGwa2dENGbgH2XryL387cweFriYi4nYaI22kAAJWJAm097dDRxx6dfBzQvqE9Np2MxSc7LuHTXZfg5WCBQa3cavqSiIiIHospggxargFOS1afWJuZYkR7T4xo74mkzDyEXIhHdp4G7b3t0aqBDdQm+t+XSd0bITopGz8fi8aMjaex0TYQbbzs5CmeiIjoPgZeMmh1YUhDfeFopcaYLt7l7iNJEuYN9UdsSjZCr9zD5J/CsfXNbvC0t6ilKomIiEoy3MGHRDDMhSeofCZKBf4zuh2au1njXkYeJv0QjvTcArnLIiKieoyBlwxajgFPS0ZlszYzxfcTOsHFWo0rdzPw1i+nUajRyl0WERHVUwy8ZLCEEA96eBl46xwPO3OsGd8J5qZKHLx6Dx9tvwDOgkhERHJg4CWDla/RQnN/QlgG3rqptactVrzUFpIE/HI8BmsO35S7JCIiqocYeMlgFQ9nADiGty4b0NINs4e0AAAs3nUZl+LSZa6IiIjqGwZeMljFwxlMlRJMDXhxB3q8Sd0bYYC/Kwq1Ah9sPqfruSciIqoNTBFksHRTkrF3t86TJAkfD2sFazMTnL2VhrVHOLSBiIhqDwMvGawczsFrVFxtzDDr/tCG5XuuIjY5W+aKiIiovmDgJYNVPKSBywobj1EdvdClkQNyCjSYtTWCszYQEVGtkDXwrlq1CgEBAbCxsYGNjQ0CAwOxa9cu3fMTJkyAJEl6j65duz72uF988QX8/Pxgbm4OLy8vvPPOO8jNza3JS6EaUNzDa8YhDUZDoZCw+PkAqE0UOBSZiM2nbstdEhER1QOyBl5PT08sXrwY4eHhCA8PR58+fRAUFIQLFy7o9hk0aBDi4uJ0j507d5Z7zPXr1+ODDz7AvHnzcOnSJaxZswYbN27Ehx9+WNOXQ9Usm4tOGKVGTpaY0c8XAPDxHxdxLyNP5oqIiMjYyfq74qFDh+p9vXDhQqxatQrHjh1Dy5YtAQBqtRpubm4VPmZYWBieeuopvPzyywAAHx8fjB49Gn///XeZr8nLy0Ne3oP/dNPTOW2SIcgpKATAm9aM0eQejfD72Tu4GJeOBb9fwFcvt5e7JCIiMmIGM4ZXo9EgODgYWVlZCAwM1G0PDQ2Fi4sLfH19MWXKFCQkJJR7nO7du+PkyZO6gHvjxg3s3LkTzzzzTJmvWbRoEWxtbXUPLy+v6rkoeiI5+UVL0fKmNeNjqlRg6QsBUCok/HEuDn9evCt3SUREZMRkD7wRERGwsrKCWq3G1KlTsXXrVvj7+wMABg8ejPXr12Pfvn1Yvnw5Tpw4gT59+uj1xj7qpZdewscff4zu3bvD1NQUTZo0Qe/evfHBBx+U+ZoPP/wQaWlpukdsbGy1XydVXnZ+UQ8vhzQYp1YNbDG5RyMAwJxt55GeWyBzRUREZKxkv/3dz88PZ86cQWpqKjZv3ozx48fjwIED8Pf3x6hRo3T7tWrVCh07doS3tzd27NiBESNGlHq80NBQLFy4ECtXrkSXLl1w7do1TJ8+He7u7pg7d26pr1Gr1VCr1TVyfVR1uQWch9fYvdPPFyHn4xGdlI2lIZfxybDWcpdERERGSPYeXpVKhaZNm6Jjx45YtGgR2rRpgxUrVpS6r7u7O7y9vREZGVnm8ebOnYuxY8di8uTJaN26NYYPH45PP/0UixYtglarranLoBqQzXl4jZ6ZqRKLRhSF3HXHYnAmNlXegoiIyCjJHngfJYQoc8hCUlISYmNj4e7uXubrs7OzoVDoX5ZSqYQQgnN+1jE57OGtF7o1ccKIdg0AAKtCr8lcDRERGSNZA++sWbNw6NAhREVFISIiArNnz0ZoaCjGjBmDzMxMzJw5E2FhYYiKikJoaCiGDh0KJycnDB8+XHeMcePG6U05NnToUKxatQrBwcG4efMm9u7di7lz5+K5556DUsngVJfkcFqyeuPN3k0AAHsu3sWNe5kyV0NERMZG1jG8d+/exdixYxEXFwdbW1sEBAQgJCQE/fv3R05ODiIiIvDTTz8hNTUV7u7u6N27NzZu3Ahra2vdMWJiYvR6dOfMmQNJkjBnzhzcvn0bzs7OGDp0KBYuXCjHJdITyObCE/VGUxdr9Gvhgj8vJeDbQzd1wxyIiIiqgyT4e/4S0tPTYWtri7S0NNjY2MhdTr015adw7L14F58Ob42XuzSUuxyqYSeikjFydRhUJgoceb8PnK15IykREZWtMnnN4MbwEhXjkIb6paO3Pdo1tEN+oRY/Ho2SuxwiIjIiDLxksIpvWuOQhvpBkiS8/nTRWN6fj0UjK69Q5oqIiMhYMPCSwcpmD2+909/fFY2cLJGWU4CNJ7gADBERVQ8GXjJYuoUnGHjrDaVCwpQejQEAaw7fRIGGc2cTEdGTY+Alg1W8tDDn4a1fRrRvACcrFW6n5mBnRJzc5RARkRFg4CWDxZXW6iczUyUmdPMBAKw+cIMLxhAR0RNj4CWDVTykgWN4659XunrDQqXEpbh0HIpMlLscIiKq4xh4ySAVaLQo0BT17FmYyro+CsnAzkKFUZ28AADfHLwhczVERFTXMfCSQSqekgwAzFR8m9ZHk7o3glIh4fC1RJy/nSZ3OUREVIcxSZBBKl50QqmQoFLybVofedpb4NkAdwDs5SUioifDJEEGqTjwmpsqIUmSzNWQXF57umiKsh0RcYhNzpa5GiIiqqsYeMkgcYYGAoCWHrbo0cwJGq3AytDrcpdDRER1FAMvGaScAs7BS0Xe7NUUALDh7xjsuRAvczVERFQXMfCSQcrJL1phi1OSUWATR0zq3ggA8O6ms4hJ4tAGIiKqHAZeMki6VdYYeAnA+4Oao11DO2TkFmLaL6eQV6h5/IuIiIjuY+Alg1Q8LRmHNBAAqEwU+Orl9rCzMEXE7TR8uuOS3CUREVEdwsBLBql4lgYOaaBiDezM8e8X2wIAfgyLxh/n7shbEBER1RkMvGSQint4zdjDSw/p3dwFb/ZqAgD4YHMEbiZmyVwRERHVBQy8ZJCy2cNLZfi//r7o3MgBmXmFeHP9KeQWcDwvERGVj4GXDNLDC08QPcxEqcB/RreDo6UKl+LSseD3C3KXREREBo6BlwyS7qY1lYnMlZAhcrUxw4qX2kGSgA1/x2Lr6Vtyl0RERAaMgZcMEoc00ON0b+aE6X2bAQA+3BKBkPNxMldERESGioGXDFIupyWjCvhHn2bo29wFuQVaTF13Cl/8eRVarZC7LCIiMjAMvGSQuPAEVYRSIeG/Yzvg1ad8AABf/BmJN9efQlZeobyFERGRQWHgJYOUzZvWqIJMlArMG9oSS58PgKlSQsiFeDy/6ihik7kEMRERFWHgJYNUPKSBY3ipol7s5IXg17rCyUqNy/EZeO6rwzh6PVHusoiIyADwFngySMU9vGYMvFQJHbwd8Ps/nsJrP51ExO00jF3zNz561h99mrsgt0CDnAINcvKL/swt0CK3QIOWHjZo5motd+lERFSDGHjJIBVPS2bBIQ1USe625tg0NRDv/XoO28/ewbztFzBve9lz9SoVEj4c3ByTujeCJEm1WCkREdUWBl4ySDm6acn4FqXKMzNVYsVLbeHvYYOv911DgVYLc1MlzE2VMFMpYWaihLlKiQKNFudupeGTHZdwOiYVS14IgJWa7zkiImPDT3YySA8WnuAwc6oaSZIwtWcTTO3ZpMx9hBD4+Vg0Pv7jInZExOFyfDr+O7YDmrpwiAMRkTFhmiCDpJulgT28VIMkScK4QB8EvxYINxszXL+Xhee+OoI/zt2RuzQiIqpGDLxkcDRagfxCLQBOS0a1o4O3Pf54uzsCGzsiO1+Dt345jX/9fhEFGq3cpRERUTVg4CWDUzycAeC0ZFR7nKzU+HlSZ90QiO+P3MTL3x7D7dQcmSsjIqInxcBLBqd4lTVJAtQmfItS7TFRKvDB4Ob479gOsFab4ERUCgb++yDWH4+GEFyymIiormKaIIOTm/9gOAOniSI5DGzphu3/6I4O3vbIzCvE7K3n8cqa41y9jYiojmLgJYOTXVDUw8vhDCSnRk6W+N/rgZj7rD/MTBU4ci0JA784iJ/CoqDVsreXiKguYeAlg1M8B68Zb1gjmSkVEiZ1b4SQ6U+jcyMHZOdr8NFvFzD622OITsqSuzwiIqogBl4yOA8WnWDgJcPg42SJ4CldseC5lrBQKXH8ZjIGfnEQ3x++yd5eIqI6gIGXDI5uDl728JIBUSgkjO/mg90znkZgY0fkFmjxrz8u4sX/huHGvUy5yyMionIw8JLBebDKGgMvGR4vBwusn9wFnwxrBUuVEuHRKRi84hC+OXgdGvb2EhEZJAZeMjg57OElA6dQSHilqzd2v/M0ejRzQl6hFp/uvIznVx3FtYQMucsjIqJHMPCSwSnu4bXgssJk4DztLfDTxM5YPKI1rNUmOBObiiFfHsbK0Gso5CptREQGg4GXDI5uDC+HNFAdIEkSXurcEHv+72n08nNGfqEWS0Ou4PlVR5GYmSd3eUREBAZeMkC6Mbwc0kB1iLutOdZO6ITPRraBjZkJzt5KwyvfHUdqdr7cpRER1XsMvGRwcvK58ATVTZIk4YUOnvjtre5wslLjcnwGxq89gcy8QrlLIyKq1xh4yeBkc+EJquMaOVli/eQusLMwxdnYVEz84YTuZkwiIqp9sgbeVatWISAgADY2NrCxsUFgYCB27dqle37ChAmQJEnv0bVr18ceNzU1FdOmTYO7uzvMzMzQokUL7Ny5syYvharRg5vWGHip7vJzs8bPE7vAWm2Cv28mY+q6k8grZOglIpKDrIHX09MTixcvRnh4OMLDw9GnTx8EBQXhwoULun0GDRqEuLg43eNxwTU/Px/9+/dHVFQUfv31V1y5cgXffvstGjRoUNOXQ9UkhzetkZFo7WmL71/tBHNTJQ5cvYe3N5zm7A1ERDKQdd6noUOH6n29cOFCrFq1CseOHUPLli0BAGq1Gm5ubhU+5vfff4/k5GQcPXoUpqamAABvb+/qK5pqHG9aI2PSyccB347riIk/nMDuC3fxz1/PYfnINlAoJLlLIyKqN6rUwxsaGlrNZQAajQbBwcHIyspCYGCg3rlcXFzg6+uLKVOmICEhodzjbN++HYGBgZg2bRpcXV3RqlUrfPrpp9Boyv5VYl5eHtLT0/UeJJ/iMbych5eMRfdmTlg5pj1MFBK2nr6NOb+dhxBclY2IqLZUKfAOGjQITZo0wSeffILY2NgnKiAiIgJWVlZQq9WYOnUqtm7dCn9/fwDA4MGDsX79euzbtw/Lly/HiRMn0KdPH+TllT235Y0bN/Drr79Co9Fg586dmDNnDpYvX46FCxeW+ZpFixbB1tZW9/Dy8nqia6Ink6tbWpj3VJLx6Ofvin+PagtJAn45HoN3N51Fdj5nbyAiqg2SqEI3Q3JyMtatW4cffvgB586dQ9++fTFp0iQMGzYMKpWqUsfKz89HTEwMUlNTsXnzZnz33Xc4cOCALvQ+LC4uDt7e3ggODsaIESNKPZ6vry9yc3Nx8+ZNKJVFvxL//PPPsWzZMsTFxZX6mry8PL0QnZ6eDi8vL6SlpcHGxqZS10NPrt/nB3AtIRMbpnRFYBNHucshqlb/C4/F+5vPQQigqYsVvn65PfzcrOUui4iozklPT4etrW2F8lqVutAcHBzw9ttv49SpUwgPD4efn59uVoS3334bZ8+erfCxVCoVmjZtio4dO2LRokVo06YNVqxYUeq+7u7u8Pb2RmRkZJnHc3d3h6+vry7sAkCLFi0QHx+P/PzSJ4BXq9W6mSKKHyQf3rRGxuzFjl74ZXJXuFircS0hE899dRi/HI/hEAciohr0xL8zbtu2LT744ANMmzYNWVlZ+P7779GhQwf06NFDb7aFihJClDlkISkpCbGxsXB3dy/z9U899RSuXbsGrfbBndBXr16Fu7t7pXufSR6cloyMXWATR+ya3gO9/JyRV6jFrK0ReGvDaaTnFshdGhGRUapy4C0oKMCvv/6KIUOGwNvbG7t378ZXX32Fu3fv4ubNm/Dy8sLIkSPLPcasWbNw6NAhREVFISIiArNnz0ZoaCjGjBmDzMxMzJw5E2FhYYiKikJoaCiGDh0KJycnDB8+XHeMcePG4cMPP9R9/cYbbyApKQnTp0/H1atXsWPHDnz66aeYNm1aVS+ValnxuEbO0kDGzNFKje/Hd8KsIc1hopCw41wcnv3yMM7dSpW7NCIio1Ol2+D/8Y9/YMOGDQCAV155BUuXLkWrVq10z1taWmLx4sXw8fEp9zh3797F2LFjERcXB1tbWwQEBCAkJAT9+/dHTk4OIiIi8NNPPyE1NRXu7u7o3bs3Nm7cCGvrB+PdYmJioFA8yO1eXl7Ys2cP3nnnHQQEBKBBgwaYPn063n///apcKtUyrVYgt6Cod55DGsjYKRQSXnu6CTr5OOAfG04jJjkbz686ivcGNsfE7o2g5NRlRETVoko3rfXt2xeTJ0/G888/X+YwgcLCQhw5cgQ9e/Z84iJrW2UGQVP1ys4vhP9HuwEAF/81kFOTUb2RllOAD7ecw86IeABA6wa2+HR4a7T2tJW5MiIiw1TjN63NmzcPI0eOLBF2CwsLcfDgQQCAiYlJnQy7JK/iG9YAwMyEPbxUf9iam+Lrl9tj8YjWsDEzQcTtNAR9fRgLfr+AzDxOX0ZE9CSqFHh79+6N5OTkEtvT0tLQu3fvJy6K6q/iRSfMTBVciYrqHUmS8FLnhvjr3V4IausBrQDWHolCv+UHEHI+jjM5EBFVUZUCrxACklQyjCQlJcHS0vKJi6L6i8sKEwHO1mqseKkdfprYGd6OFohPz8XUdacw+cdw3ErJlrs8IqI6p1IDJIsXe5AkCRMmTIBardY9p9FocO7cOXTr1q16K6R6JYfLChPpPO3rjN0znsZX+67hvwev46/LCTh8LREtPWzQ2NkKTZyt0MTZEk1crNDQwQKmSq5OSERUmkqlClvbopsnhBCwtraGubm57jmVSoWuXbtiypQp1Vsh1SsPD2kgIsDMVImZA/0wrJ0HZm05j7+jknEqJhWnYlL19jNRSPB2tMCYLt6Y2L2RPMUSERmoSgXetWvXAgB8fHwwc+ZMDl+gapdbwB5eotI0dbHGxte74srdDFxLyMT1hCxcv5eJG4lFf88p0OD6vSz864+L8LQ3x4CWbnKXTERkMKqUKubNm1fddRABeNDDyzl4iUqSJAnN3WzQ3E1/+h2tViA+PRerQq/j52PReH/zObTxsoOrjZlMlRIRGZYKB9727dvjr7/+gr29Pdq1a1fqTWvFTp06VS3FUf3Dm9aIKk+hkOBhZ445z7bAqZgUXLiTjnf/dxY/TezM2U6IiFCJwBsUFKS7SW3YsGE1VQ/Vczn3lxW2YA8vUaWpTZRY8VI7PPufQzh8LRFrDt/ElKcby10WEZHsKhx4Hx7GwCENVFN0QxrYw0tUJU1drDD3WX/M3noeS3dfRmATR7RqwNXaiKh+e6Jb4fPz83Hr1i3ExMToPYiqSjekgT28RFX2cueG6O/vigKNwPTg03orGBIR1UdVCrxXr15Fjx49YG5uDm9vbzRq1AiNGjWCj48PGjXidDhUdTns4SV6YpIkYcnzAXCxVuP6vSx8suOi3CUREcmqSrM0vPrqqzAxMcEff/wBd3f3cm9gI6qMHN20ZAy8RE/CwVKFz19si1fWHMf64zHo6evMqcqIqN6qUuA9c+YMTp48iebNm1d3PVTPPZiWjPPwEj2p7s2c8NrTjfHNwRucqoyI6rUqDWnw9/dHYmJidddC9NC0ZFxpjag6vDvAFy09bJCSXYB3/3cWWq2QuyQiolpXpVSxZMkSvPfeewgNDUVSUhLS09P1HkRVVTyGlyutEVWP4qnKzEwVOHwtETM2nkF+oVbusoiIalWVUkW/fv0AAH379tXbLoSAJEnQaHhHMFVN9v15eM04hpeo2jR1scJnI9tgRvAZbD97B0lZeVj9SgdYm5lW6PVarUChVkBlwt+8EFHdVKXAu3///uqugwgAkFNQ1PNkwVkaiKrVswEesDEzxdR1J3HkWhJe/O8x/PhqJ7iUM6ZXCIE9F+9i4Y5LSMnKx9ReTTDxqUacNpCI6hxJCMEBXY9IT0+Hra0t0tLSYGNj8/gX0BMTQmD72TuYtSUCWfkarJ/cBU81dZK7LCKjE3ErDa/+8DcSM/PRwM4cP03qjCbOViX2i7ybgQW/X8Tha/r3a7jZmOH/+vvi+Q6eUHLZYiKSUWXyWoUD77lz59CqVSsoFAqcO3eu3H0DAgIqXq0BYuCtXVGJWZiz7bzuP1ZfVytsmtoNtuYV+3UrEVVOTFI2xn1/HFFJ2bCzMMWa8Z3QwdseAJCWU4Av/ryKn8KiodEKqJQKTO7RCE2crfD53qu4nZoDoOjf6QeDm6O3nwunpiQiWdRI4FUoFIiPj4eLiwsUCgUkSUJpLzWGMbwMvLUjr1CD/x64ga/2X0N+oRYqEwX+0bspXuvZGGoT/sqUqCYlZeZh4o/hOBubCjNTBb58qR2SsvKxbPcVJGflAwD6+7tizjMt4O1oCQDILdBg3bFo/GffNaTlFAAAujRywIdDWqCtl51cl0JE9VSNBN7o6Gg0bNgQkiQhOjq63H29vb0rXq0BYuCtecduJGH21ghcv5cFAOjRzAkfB7WCj5OlzJUR1R/Z+YWYtv4U9l+5p7e9qYsV5g31R49mzqW+Li27ACsPXMPaI1G6GR/e7e+Lf/RtVuM1ExEVq5HAW58w8NacxMw8LN51Gb+evAUAcLJSYe6z/niujQd/LUokg0KNFrO2RuB/4bdgbWaCd/r5YmygN0yVj5+R4U5qDpbvuYrNp4r+Pc95pgUm92hc0yUTEQGoocC7ffv2Chfw3HPPVXhfQ8TAW/0KNFr8eDQKK/6MREZe0dRjL3dpiPcHNoetBcfqEslJCIFTMSlo7GQFe0tVpV//1b5IfLbnKgDg0+Gt8XKXhtVdIhFRCZXJaxWelmzYsGEV2s8YxvBS9Tpw9R7+9fsF3fCF1g1sMf+5lrqbZIhIXpIkoYO3Q5VfP613U2Tla7Aq9Dpmb4uAuUqB4e08q7FCIqInU+HAq9VyZR6qnKjELHyy4yL+vJQAAHC0VOGfA/0wsqMXpzMiMiKSJOG9gX7IzivEj2HRmLnpHMxNlRjUyl3u0oiIAFRx4Qmqnwo0WpyOScXhyHs4fC0RWXka2FmYwsFSBXtLFRws7v9paYrL8RlYezgK+RotTBQSxnfzwdt9m3GqMSIjJUkS5g1tiax8DX49eQv/2HAa345Topefi9ylERFVPfBmZWXhwIEDiImJQX5+vt5zb7/99hMXRvITQuBmYhYOX0vEwauJOHYjCZn3x99WVI9mTpg31B9NXaxrqEoiMhQKhYQlzwcgp0CDHefi8PrPJ/HjxM7o2tgRQNFnyu3UHIRHpeBEVDJORqcgISMPX77UDt2bcaEZIqo5VZql4fTp0xgyZAiys7ORlZUFBwcHJCYmwsLCAi4uLrhx40ZN1FpravumtRV/RuK3s7fL3UelVMDMVAkzUwXMTZUwVylhZqqEuakSahMlqjrBQaFGi5wCDXIKtMjJ1yC3QFP0db4GyVn5iE/P1dvf3sIU3Zs5o0czJ3jYmiMlOx8p2flIzspHSlY+krMLkJKVDwGBCd0aoV8LTkpPVN/kF2rxxrqT+OtyAixVSrzZuykux2cgPCoZcWm5Jfa3NjPBtmlPlbriGxFRWWp8WrJevXrB19cXq1atgp2dHc6ePQtTU1O88sormD59OkaMGFHl4g1BbQfeudvO4+dj5c9tLBdTpYSO3g7o4euEHk2d0dLDBgqOvyWix8gt0GDiDydw9HqS3nYThYSWDWzRydseHX3s8e2hmzgZnYLGTpbY+uZTnLWFiCqsxgOvnZ0djh8/Dj8/P9jZ2SEsLAwtWrTA8ePHMX78eFy+fLnKxRuC2g68UYlZSMjIK/N5IQQKtQI5+fd7Xwvu98Te/zqvsOo3FColCeYqpa7X2Nz0fs+xSglLlRL+HjawUHGoNxFVXlZeIT7cEoHUnAJ0vB9w23rZ6X2m3MvIw7Cvj+B2ag66N3XCD692gkkF5gAmIqqRackeZmpqqvs1taurK2JiYtCiRQvY2toiJiamKoes13ycLLnCGBEZHUu1Cb4c3a7cfZyt1fh2XEe8sPooDl9LxMd/XMSCoFa1VCER1RdV+jG6Xbt2CA8PBwD07t0bH330EdavX48ZM2agdevW1VogEREZN38PG/x7VFsAwI9h0VhnoEO8iKjuqlLg/fTTT+HuXjS/4scffwxHR0e88cYbuHfvHv773/9Wa4FERGT8BrZ0wz8H+gEA5m+/gKPXE2WuiIiMSZXG8Obk5EAIAQsLCwBAVFQUtm7dCn9/fwwcOLDai6xtXFqYiKj2CSEwY+MZ/HbmDmzNTfHbtKc43IuIylSZvFalHt6goCD89NNPAIDU1FR07doVn3/+OYYNG4ZVq1ZV5ZBERFTPSVLRPL5tvOyQllOAyT+FIz23QO6yiMgIVCnwnjp1Cj169AAA/Prrr3B1dUV0dDR++uknfPnll9VaIBER1R9mpkp8O7YD3GzMcC0hEx9ujpC7JCIyAlUKvNnZ2bC2Llo5a8+ePRgxYgQUCgW6du2K6GjebEBERFXnYmOGb8Z1gCQBOyLicCkuXe6SiKiOq1Lgbdq0KbZt24bY2Fjs3r0bAwYMAAAkJCRwzCsRET2xAE87DGlddHP0qtDrMldDRHVdlQLvRx99hJkzZ8LHxwddunRBYGAggKLe3nbtyp9zkYiIqCLe7NUEAPDHuTuISsySuRoiqsuqFHhfeOEFxMTEIDw8HCEhIbrtffv2xb///e9qK46IiOqvlh626O3nDK0A/nvwhtzlEFEdVuX1G93c3NCuXTsoFA8O0blzZzRv3rxaCiMiInqzd1MAwOaTtxCflitzNURUV3HBciIiMlidfBzQ2ccB+RotvjvEXl4iqhoGXiIiMmhv9i4ay7v+eAxSsvJlroaI6iIGXiIiMmg9fZ3R0sMGOQUarD0aJXc5RFQHMfASEZFBkyQJ0+6P5f3hyE1k5hXKXBER1TUMvEREZPAGtnRDY2dLpOcWYv0xLnBERJUja+BdtWoVAgICYGNjAxsbGwQGBmLXrl265ydMmABJkvQeXbt2rfDxg4ODIUkShg0bVgPVExFRbVEqJLzRs2gs77eHbiK3QCNzRURUl8gaeD09PbF48WKEh4cjPDwcffr0QVBQEC5cuKDbZ9CgQYiLi9M9du7cWaFjR0dHY+bMmejRo0dNlU9ERLVoWLsGaGBnjsTMPGw6eUvucoioDpE18A4dOhRDhgyBr68vfH19sXDhQlhZWeHYsWO6fdRqNdzc3HQPBweHxx5Xo9FgzJgxWLBgARo3blyTl0BERLXEVKnAa08Xfab/98B1FGi0MldERHWFwYzh1Wg0CA4ORlZWlm6pYgAIDQ2Fi4sLfH19MWXKFCQkJDz2WP/617/g7OyMSZMmVejceXl5SE9P13sQEZHhGdXJC05WKtxKycHvZ+/IXQ4R1RGyB96IiAhYWVlBrVZj6tSp2Lp1K/z9/QEAgwcPxvr167Fv3z4sX74cJ06cQJ8+fZCXl1fm8Y4cOYI1a9bg22+/rXANixYtgq2tre7h5eX1xNdFRETVz8xUiYndGwEAVoZeh1YrZK6IiOoCSQgh66dFfn4+YmJikJqais2bN+O7777DgQMHdKH3YXFxcfD29kZwcDBGjBhR4vmMjAwEBARg5cqVGDx4MICiG99SU1Oxbdu2MmvIy8vTC9Hp6enw8vJCWloabGxsnvwiiYio2qTnFuCpxfuQkVuIOc+0wOQeHLpGVB+lp6fD1ta2QnnNpJZqKpNKpULTpkXzK3bs2BEnTpzAihUr8N///rfEvu7u7vD29kZkZGSpx7p+/TqioqIwdOhQ3TattmiMl4mJCa5cuYImTZqUeJ1arYZara6OyyEiohpmY2aK9wY1x9xt57Ek5DK6NHJEa09bucsiIgMm+5CGRwkhyhyykJSUhNjYWLi7u5f6fPPmzREREYEzZ87oHs899xx69+6NM2fOcKgCEZGReKVLQwxq6YYCjcBbG04hI7dA7pKIyIDJ2sM7a9YsDB48GF5eXsjIyEBwcDBCQ0MREhKCzMxMzJ8/H88//zzc3d0RFRWFWbNmwcnJCcOHD9cdY9y4cWjQoAEWLVoEMzMztGrVSu8cdnZ2AFBiOxER1V2SJGHJ8wGIuJ2G6KRszN56HiteagtJkuQujYgMkKw9vHfv3sXYsWPh5+eHvn374vjx4wgJCUH//v2hVCoRERGBoKAg+Pr6Yvz48fD19UVYWBisra11x4iJiUFcXJyMV0FERHKwtTDFl6PbQqmQsP3sHc7NS0Rlkv2mNUNUmUHQREQkr6/3X8Oy3VdgbqrE7/94Ck1drB//IiKq8yqT1wxuDC8REVFlvNGzCbo3dUJOgQZv/XKayw4TUQkMvEREVKcpFBI+H9UGTlYqXI7PwCc7LspdEhEZGAZeIiKq81yszbD8xbYAgHXHYrArgvd2ENEDDLxERGQUevo64/WeRYtQvLf5HGKTs2WuiIgMBQMvEREZjZkD/NDWyw4ZuYVYuvuK3OUQkYFg4CUiIqNhqlTg46Ciedf3XIhHOhekICIw8BIRkZFp1cAGTV2skFeoRUhEvNzlEJEBYOAlIiKjIkkShrdrAADYcpqLURARAy8RERmhYfcD77EbybidmiNzNUQkNwZeIiIyOg3szNG1sQMA4Lczt2WuhojkxsBLRERGaUQ7TwDA1lO3IYSQuRoikhMDLxERGaVBrd2gNlEgMiETF+6ky10OEcmIgZeIiIySjZkp+vm7AgC2nOKwBqL6jIGXiIiM1oj7N69tP3sHhRqtzNUQkVwYeImIyGg97esMB0sVEjPzcPhaotzlEJFMGHiJiMhomSoVGBrgDgDYeprDGojqKwZeIiIyasPbF83WsPtCPDLzCmWuhojkwMBLRERGrY2nLRo7WSK3QIvd57nUMFF9xMBLRERG7eGlhjmsgah+YuAlIiKjV7zU8JHriYhPy5W5GiKqbQy8RERk9LwcLNDJxx5CANvPspeXqL5h4CUionph+P2lhrkIBVH9w8BLRET1wjOt3aFSKnA5PgOX4rjUMFF9wsBLRET1gq2FKfo0dwHAm9eI6hsGXiIiqjeGty+6ee23M7eh0QqZqyGi2sLAS0RE9UZvPxfYWZjibnoejnCpYaJ6g4GXiIjqDZWJAkFtPAAAm0/dkrkaIqotDLxERFSvPN+haLaGkPPxSM8tkLkaIqoNDLxERFSvtG5gi2YuVsgr1GLnuTi5yyGiWsDAS0RE9YokSXjhfi/vryc5rIGoPmDgJSKiemd4uwZQSEB4dAqiErPkLoeIahgDLxER1TsuNmZ42tcZAG9eI6oPGHiJiKheer79g6WGtZyTl8ioMfASEVG91N/fFdZmJridmoNjN5LkLoeIahADLxER1UtmpkoMvT8n768c1kBk1Bh4iYio3ioe1hByPh5ZeYUyV0NENYWBl4iI6q32De3Q2MkS2fka7IzgnLxExoqBl4iI6i1JknQrr3G2BiLjxcBLRET12vB2DSBJwLEbyYhNzpa7HCKqAQy8RERUr3nYmeOpJk4AiqYoIyLjw8BLRET13gsPDWsQgnPyEhkbBl4iIqr3BrZ0g5XaBDHJ2TgRlSJ3OURUzRh4iYio3jNXKTGktRsA4NeTsTJXQ0TVjYGXiIgIwAsdvAAAOyPikZ3POXmJjAkDLxEREYBOPvZo6GCBzLxCzAg+g0tx6XKXRETVhIGXiIgIRXPyTuvdBACw5+JdDF5xCBPW/o3jN5J4IxtRHScJ/isuIT09Hba2tkhLS4ONjY3c5RARUS2KuJWG1QevY1dEHLT3/4ds19AOb/Rsgn4tXKFQSPIWSEQAKpfXZO3hXbVqFQICAmBjYwMbGxsEBgZi165duucnTJgASZL0Hl27di33mN9++y169OgBe3t72Nvbo1+/fvj7779r+lKIiMhItPa0xdcvt8e+d3vh5S4NoTJR4HRMKl77+SQGfHEQf126K3eJRFRJsgZeT09PLF68GOHh4QgPD0efPn0QFBSECxcu6PYZNGgQ4uLidI+dO3eWe8zQ0FCMHj0a+/fvR1hYGBo2bIgBAwbg9m1OJk5ERBXn42SJT4e3xuH3e+ONXk1grTbBtYRMvPbzSey/nCB3eURUCQY3pMHBwQHLli3DpEmTMGHCBKSmpmLbtm1VPp5Go4G9vT2++uorjBs3rtR98vLykJeXp/s6PT0dXl5eHNJAREQ66bkFmLvtPH47cwfmpkpsfL0rAjzt5C6LqN6qM0MaHqbRaBAcHIysrCwEBgbqtoeGhsLFxQW+vr6YMmUKEhIq91N1dnY2CgoK4ODgUOY+ixYtgq2tre7h5eVV5esgIiLjZGNmimUvtEGPZk7IKdBg4g8nEJOULXdZRFQBsvfwRkREIDAwELm5ubCyssIvv/yCIUOGAAA2btwIKysreHt74+bNm5g7dy4KCwtx8uRJqNXqCh1/2rRp2L17N86fPw8zM7NS92EPLxERVVRmXiFeXB2Gi3HpaORkiV+nBsLRqmL/JxFR9alMD6/sgTc/Px8xMTFITU3F5s2b8d133+HAgQPw9/cvsW9cXBy8vb0RHByMESNGPPbYS5cuxeLFixEaGoqAgIAK18RZGoiIqDwJ6bkYvvIobqfmoK2XHTZM6QpzlVLusojqlTo1pEGlUqFp06bo2LEjFi1ahDZt2mDFihWl7uvu7g5vb29ERkY+9rifffYZPv30U+zZs6dSYZeIiOhxXGzM8OPEzrCzMMWZ2FT8Y8NpFGq0cpdFRGWQPfA+SgihN7zgYUlJSYiNjYW7u3u5x1i2bBk+/vhjhISEoGPHjjVRJhER1XNNXazw3biOUJso8Oelu5i3/QIXqCAyULIG3lmzZuHQoUOIiopCREQEZs+ejdDQUIwZMwaZmZmYOXMmwsLCEBUVhdDQUAwdOhROTk4YPny47hjjxo3Dhx9+qPt66dKlmDNnDr7//nv4+PggPj4e8fHxyMzMlOMSiYjIiHX0ccCKl9pBkoD1x2OwMvS63CURUSlkDbx3797F2LFj4efnh759++L48eMICQlB//79oVQqERERgaCgIPj6+mL8+PHw9fVFWFgYrK2tdceIiYlBXFyc7uuVK1ciPz8fL7zwAtzd3XWPzz77TI5LJCIiIzeolRvmD20JAFi2+wo2/B0jc0VE9CjZb1ozRLxpjYiIKmtJyGWsCr0OSQK+GNUWQW0byF0SkVGrUzetERERGYP3BvphbFdvCAH83//OYveFeLlLIqL7GHiJiIiqgSRJWPBcSzzf3hMarcA/fjmNA1fvyV0WEYGBl4iIqNooFBKWPN8aQ1q7IV+jxes/h+P4jSS5yyKq9xh4iYiIqpGJUoEvRrVDbz9n5BZoMenHcJyJTZW7LKJ6jYGXiIiomqlMFFj1SgcENnZEZl4hxn//Ny7FpctdFlG9xcBLRERUA8xMlfhufEe0b2iHtJwCjF1zHNfvcU54Ijkw8BIREdUQS7UJ1r7aGf7uNkjMzMdHv52XuySieomBl4iIqAbZmpti9SsdAABh15NwLyNP5oqI6h8GXiIiohrW0NECAZ620Apwfl4iGTDwEhER1YIhrd0BALvOx8lcCVH9w8BLRERUC4a0Kgq8YdeTkJTJYQ1EtYmBl4iIqBY0dLRAqwY20Apgz8W7cpdDVK8w8BIREdWSwfd7eXdGcFgDUW1i4CUiIqolxeN4j15PQkpWvszVENUfDLxERES1pJGTJVq420CjFdjLYQ1EtYaBl4iIqBYNaeUGANjBYQ1EtYaBl4iIqBYNCSga1nDkWiLSsgtkroaofmDgJSIiqkVNnK3g52qNQq3A3ksc1kBUGxh4iYiIalnxzWucrYGodjDwEhER1bIhrYvG8R6KvIf0XA5rIKppDLxERES1rJmrNZq5WKFAI/AnZ2sgqnEMvERERDIYrBvWEC9zJUTGj4GXiIhIBs/cD7wHI+8hg8MaiGoUAy8REZEMfF2t0NjZEvmFWuy7nCB3OURGjYGXiIhIBpIkYUgrztZAVBsYeImIiGRSPD1Z6JV7yMorlLkaIuPFwEtERCSTFu7W8HG0QB6HNRDVKAZeIiIimUiSxEUoiGoBAy8REZGMigPv/isJHNZAVEMYeImIiGTU0sMGjZ0skVugxeZTt+Quh8goMfASERHJSJIkjO/mAwD4/vBNaLVC3oKIjBADLxERkcxe6OAJGzMTRCVl4y/evEZU7Rh4iYiIZGapNsHoLg0BAGsO35C5GiLjw8BLRERkACZ084GJQsKxG8k4fztN1lou3knHi6vD0GPpPtxKyZa1FqLqwMBLRERkANxtzXUzNnx/+KYsNWTlFWLhjosY+tVh/B2VjNjkHCwJuSJLLUTViYGXiIjIQEzu0QgAsP3sHcSn5dbquf+8eBf9Pz+Abw/dhEYr0NPXGZIE/H72Dk7FpNRqLUTVjYGXiIjIQAR42qGTjz0KtQI/hUXVyjnj0nLw+s/hmPxTOO6k5aKBnTnWTuiEHyd2xvPtPQEAn/xxEUJw9giquxh4iYiIDMik7o0BAL/8HYPs/JpbiEIIgbVHbqLf8gPYfeEuTBQSXu/ZGHv/72n0bu4CAJg5wA/mpkqciknFzoj4GquFqKYx8BIRERmQ/v6uaOhggdTsAmw+dbvGzrMk5AoW/H4RWfkatG9ohz/e7o4PB7eAhcpEt4+brRmmPF0UwBeHXEJeoabG6iGqSQy8REREBkSpkPDqUz4AgLU1tBDFtwdvYPWB6wCA2UNa4Nep3dDczabUfV9/ujGcrdWITc7BT0ejq70WotrAwEtERGRgRnb0grWZCW4kZmH/lepdiGJTeCwW7rwEAHh/UHNMeboxFAqpzP0t1SaYOcAXAPCffZFIycqv1nqIagMDLxERkYGxUptgdOfihSiqb4qyvRfv4oMtEQCAKT0aYWrPxhV63QsdvNDczRrpuYVY8VdktdVDVFsYeImIiAzQ+G4+UCokHL2ehAt3nnwhiuM3kjDtl1PQaAWeb++JWUNaQJLK7tl9mFIhYc4z/gCAdceiceNe5hPXQ1SbGHiJiIgMUAM7cwxu5QYA+P5w1BMd68KdNEz+MRz5hVr0a+GKJc+3rnDYLda9mRN6+zmjUCuweNflJ6qHqLYx8BIRERmoyT2KhhxsP3sbCelVW4giKjEL478/gYy8QnRu5ICvXm4HE2XV/vufNaQFlAoJey7exbEbSVU6BpEcGHiJiIgMVFsvO3TwtkeBRuDLfZUfO5uQnoux3x9HYmYeWrjb4LvxHWFmqqxyPc1crfFSJy8AwMIdl2pkBgmimiBr4F21ahUCAgJgY2MDGxsbBAYGYteuXbrnJ0yYAEmS9B5du3Z97HE3b94Mf39/qNVq+Pv7Y+vWrTV5GURERDXmnX5FMySsOxaDPRcqvvhDboEGk34MR2xyDrwdLfDjxE6wMTN98nr6+8JKbYKI22n47WzNzRNMVJ1kDbyenp5YvHgxwsPDER4ejj59+iAoKAgXLlzQ7TNo0CDExcXpHjt37iz3mGFhYRg1ahTGjh2Ls2fPYuzYsXjxxRdx/Pjxmr4cIiKiate9mROm9GgEAPjnr+dwJzXnsa8RQmDW1ghE3E6DvYUpfprYGS7WZtVSj5OVGm/0agIA+Gz3VS5GQXWCJAxscWwHBwcsW7YMkyZNwoQJE5Camopt27ZV+PWjRo1Cenq6Xk/xoEGDYG9vjw0bNlToGOnp6bC1tUVaWhpsbEqfiJuIiKi25Bdq8cLqozh3Kw2dfOyxYUrXcsfhfn/4Jv71x0UoFRJ+mtgZTzV1qtZ6cvI16PXZftxNz8PcZ/0xqXujaj0+UUVUJq8ZzBhejUaD4OBgZGVlITAwULc9NDQULi4u8PX1xZQpU5CQUP4E3GFhYRgwYIDetoEDB+Lo0aNlviYvLw/p6el6DyIiIkOhMlHgP6PbwUptghNRKfiynLlwj15P1C0sMWtIi2oPuwBgrlLqhlp8tS8S6bkF1X4Oouoke+CNiIiAlZUV1Go1pk6diq1bt8Lfv2iuv8GDB2P9+vXYt28fli9fjhMnTqBPnz7Iy8sr83jx8fFwdXXV2+bq6or4+LLHPS1atAi2tra6h5eXV/VcHBERUTXxdrTEpyNaAwD+s/8ajl5LLLFPbHI2pq0vmmt3RLsGmHh/ieKa8EIHTzRxtkRKdgG+PXijxs5DVB1kD7x+fn44c+YMjh07hjfeeAPjx4/HxYsXARQNT3jmmWfQqlUrDB06FLt27cLVq1exY8eOco/56NyCQohy5xv88MMPkZaWpnvExsY++YURERFVs+faeGBURy8IAUzfeAaJmQ86gHLyNXj955NIyS5A6wa2+HRE5efarQwTpQL/HOgHAPju0E0kZFRt2jSi2iB74FWpVGjatCk6duyIRYsWoU2bNlixYkWp+7q7u8Pb2xuRkWX/KsfNza1Eb25CQkKJXt+HqdVq3UwRxQ8iIiJDNO85fzR1scK9jDzM3HQWWq2AEALvbz6Hi3HpcLRUYfXYDk80/VhFDWzphrZedsgp0OA/f12r8fMRVZXsgfdRQogyhywkJSUhNjYW7u7uZb4+MDAQe/fu1du2Z88edOvWrVrrJCIikoOFygRfvdwOKhMFQq/cw5rDN/HtoRvYfvYOTBQSVo5pjwZ25rVSiyRJ+GBwcwDAhr9jEJWYVSvnJaosWQPvrFmzcOjQIURFRSEiIgKzZ89GaGgoxowZg8zMTMycORNhYWGIiopCaGgohg4dCicnJwwfPlx3jHHjxuHDDz/UfT19+nTs2bMHS5YsweXLl7FkyRL8+eefmDFjhgxXSEREVP2au9ngo2eL7ndZEnJZt9TvR0P90aWxY63W0rWxI3rdX3L4sz1XavXcRBUla+C9e/cuxo4dCz8/P/Tt2xfHjx9HSEgI+vfvD6VSiYiICAQFBcHX1xfjx4+Hr68vwsLCYG1trTtGTEwM4uLidF9369YNwcHBWLt2LQICAvDDDz9g48aN6NKlixyXSEREVCPGdGmIwa3cUKgV0ArgxY6eGNvVW5Za3hvYHJIE/HEuDhG30mSpgag8BjcPryHgPLxERFQXpOUU4PWfw+FgqcLnL7atlXG7ZZkRfBrbztxBj2ZO+HkSO5mo5lUmr5nUUk1ERERUzWzNTRH8WuDjd6wF7w7ww46IOByKTMSRa4k1Mv8vUVUZ3E1rREREVPd4OVhgTJeiIRWLd12GVqv/C+TcAg3+vpmMlaHXMH/7BVy8w0WeqPawh5eIiIiqxVt9mmJTeCwibqdhY3gsnKzUCI9KRnh0CiJupSFfo9Xtu+5YNKb1boppvZtCZcL+N6pZHMNbCo7hJSIiqpov/ryKL/4sfb58Z2s1OvnYI7dAi32XEwAAzd2sseyFNmjtaVubZZIRqExeY+AtBQMvERFR1WTmFWLQFwdxKyUHTV2s0MnHHh28HdDJxx4NHSwgSRKEENgREYePfruA5Kx8KBUSpvZsjLf7NoPaRL4b76huYeB9Qgy8REREVZeTr0F+oRa2Fqbl7peUmYePtl/AjnNF04s2c7HCspFt0NbLrhaqpLqOgfcJMfASERHVnpDzcZiz7TwSM/OhkIBxgT6Y1rspnK3VcpdGBoyB9wkx8BIREdWulKx8zP/9An47cwcAYGaqwLhAH7z2dGM4WTH4UkkMvE+IgZeIiEgehyLvYfmeqzgTmwoAMDdVYny3ouDrYKmStzgyKAy8T4iBl4iISD5CCIRevYd/772Kc/eXKrZUFQXfKT0aw57Bl8DA+8QYeImIiOQnhMC+ywn4fO9VXLi/UIWpUkIjJ0s0drJCExdLNHG2QhNnKzR2toS1mSkKNFrEJGfjekImrt/Lwo17mbh+r+jvVmoTTO7RCKM7N5R1GWaqHgy8T4iBl4iIyHAIIbD34l188WckLsaVvUKbo6UKaTkFKNSWH21cbdSY1rspRnXy4jRodRgD7xNi4CUiIjI8QgjcSsnBjcSs+z24mbhxLwvX72UiISNPt5+FSonGzg96f5s4W6GRkyVOx6bg633XcCctFwDgbmuGN3s3xYsdPRl8y5CeW4BT0SkIj0pBeHQyLtxJh6+rNYLaemBIa3dZbyhk4H1CDLxERER1S3puAWKSsuFopYKbjRkkSSp1v7xCDf4Xfgtf77uG+PSi4OtxP/h2bewIDzszWKhMarP0Kssv1CI1Ox8p2QVIzspHSnZ+0Z9Z+UjPLUB5Cc/URAFzUyXMTZUwUyl1fzdXKZCRW4iT0Sk4EZWCy/HpZR5HqZDwVFMnPNfGAwNbusLarPx5l6sbA+8TYuAlIiIybrkFGgT/HYOVodf1eocBwN7CFB525vCwM0cDO3O425rB1cYM9pYq2FuYwt5CBQdLFSxUyjKDdWUVarRIzSlAanY+krNKBtjk7OI/C5Byf1tGXmG1nPtxvB0t0NHbAR197NHSwwYnolKw/cxtnL1/QyEAqEwU6NvcBUFtPdDLz6VWxkgz8D4hBl4iIqL6IbdAg1+Ox+B/4bG4lZKDzEqESJWJAg4WKtiYm0BRxeCbV6hFclY+0nIKqvR6hQTYW6hgZ2EKB0uVLozbmJuWWZOAQKFGIKdAg9x8DXIK7j/yNcgt0ECpkNDWy75oWWgfe7hYm5V6nKjELGw/ewe/nbmN6/eydNs3TOmKwCaOVbqeymDgfUIMvERERPVTem4B7qTm4E5qDm6n5ur+npiZh+SsAl1va36htkbOb2teHFwf9CQ7WKpgb6mCg8X9Py1NYWehgqOlCjZmplAoqqeXuaqEELgYl47tZ+/gxM1k/Dq1W63UVJm8VjcGqRARERHVAhszU9i4maK5W9kBSgiB7HwNkrPykZpd8NjxsuUxVUq6QGtnbgoTpaKKlctHkiS09LBFSw9buUspEwMvERERUSVIkgRLtQks1SbwcpC7GqqIuvdjBBERERFRJTDwEhEREZFRY+AlIiIiIqPGwEtERERERo2Bl4iIiIiMGgMvERERERk1Bl4iIiIiMmoMvERERERk1Bh4iYiIiMioMfASERERkVFj4CUiIiIio8bAS0RERERGjYGXiIiIiIwaAy8RERERGTUTuQswREIIAEB6errMlRARERFRaYpzWnFuKw8DbykyMjIAAF5eXjJXQkRERETlycjIgK2tbbn7SKIisbie0Wq1uHPnDqytrSFJUo2fLz09HV5eXoiNjYWNjU2Nn68uY1tVDNupYthOFcN2qhi2U8WwnSqObVU+IQQyMjLg4eEBhaL8Ubrs4S2FQqGAp6dnrZ/XxsaGb+gKYltVDNupYthOFcN2qhi2U8WwnSqObVW2x/XsFuNNa0RERERk1Bh4iYiIiMioMfAaALVajXnz5kGtVstdisFjW1UM26li2E4Vw3aqGLZTxbCdKo5tVX140xoRERERGTX28BIRERGRUWPgJSIiIiKjxsBLREREREaNgZeIiIiIjBoDrwFYuXIlGjVqBDMzM3To0AGHDh2SuyRZHTx4EEOHDoWHhwckScK2bdv0nhdCYP78+fDw8IC5uTl69eqFCxcuyFOsjBYtWoROnTrB2toaLi4uGDZsGK5cuaK3D9sKWLVqFQICAnQTtwcGBmLXrl2659lGpVu0aBEkScKMGTN029hWwPz58yFJkt7Dzc1N9zzbSN/t27fxyiuvwNHRERYWFmjbti1Onjype57tBfj4+JR4T0mShGnTpgFgG1UXBl6Zbdy4ETNmzMDs2bNx+vRp9OjRA4MHD0ZMTIzcpckmKysLbdq0wVdffVXq80uXLsXnn3+Or776CidOnICbmxv69++PjIyMWq5UXgcOHMC0adNw7Ngx7N27F4WFhRgwYACysrJ0+7CtAE9PTyxevBjh4eEIDw9Hnz59EBQUpPsPg21U0okTJ/DNN98gICBAbzvbqkjLli0RFxene0REROieYxs9kJKSgqeeegqmpqbYtWsXLl68iOXLl8POzk63D9ur6N/bw++nvXv3AgBGjhwJgG1UbQTJqnPnzmLq1Kl625o3by4++OADmSoyLADE1q1bdV9rtVrh5uYmFi9erNuWm5srbG1txerVq2Wo0HAkJCQIAOLAgQNCCLZVeezt7cV3333HNipFRkaGaNasmdi7d6/o2bOnmD59uhCC76di8+bNE23atCn1ObaRvvfff1907969zOfZXqWbPn26aNKkidBqtWyjasQeXhnl5+fj5MmTGDBggN72AQMG4OjRozJVZdhu3ryJ+Ph4vTZTq9Xo2bNnvW+ztLQ0AICDgwMAtlVpNBoNgoODkZWVhcDAQLZRKaZNm4ZnnnkG/fr109vOtnogMjISHh4eaNSoEV566SXcuHEDANvoUdu3b0fHjh0xcuRIuLi4oF27dvj22291z7O9SsrPz8e6deswceJESJLENqpGDLwySkxMhEajgaurq952V1dXxMfHy1SVYStuF7aZPiEE/u///g/du3dHq1atALCtHhYREQErKyuo1WpMnToVW7duhb+/P9voEcHBwTh16hQWLVpU4jm2VZEuXbrgp59+wu7du/Htt98iPj4e3bp1Q1JSEtvoETdu3MCqVavQrFkz7N69G1OnTsXbb7+Nn376CQDfU6XZtm0bUlNTMWHCBABso+pkIncBBEiSpPe1EKLENtLHNtP31ltv4dy5czh8+HCJ59hWgJ+fH86cOYPU1FRs3rwZ48ePx4EDB3TPs42A2NhYTJ8+HXv27IGZmVmZ+9X3tho8eLDu761bt0ZgYCCaNGmCH3/8EV27dgXANiqm1WrRsWNHfPrppwCAdu3a4cKFC1i1ahXGjRun24/t9cCaNWswePBgeHh46G1nGz059vDKyMnJCUqlssRPaQkJCSV+mqMixXdDs80e+Mc//oHt27dj//798PT01G1nWz2gUqnQtGlTdOzYEYsWLUKbNm2wYsUKttFDTp48iYSEBHTo0AEmJiYwMTHBgQMH8OWXX8LExETXHmwrfZaWlmjdujUiIyP5fnqEu7s7/P399ba1aNFCd1M220tfdHQ0/vzzT0yePFm3jW1UfRh4ZaRSqdChQwfdHZnF9u7di27duslUlWFr1KgR3Nzc9NosPz8fBw4cqHdtJoTAW2+9hS1btmDfvn1o1KiR3vNsq7IJIZCXl8c2ekjfvn0RERGBM2fO6B4dO3bEmDFjcObMGTRu3JhtVYq8vDxcunQJ7u7ufD894qmnnioxVeLVq1fh7e0NgJ9Rj1q7di1cXFzwzDPP6LaxjaqRTDfL0X3BwcHC1NRUrFmzRly8eFHMmDFDWFpaiqioKLlLk01GRoY4ffq0OH36tAAgPv/8c3H69GkRHR0thBBi8eLFwtbWVmzZskVERESI0aNHC3d3d5Geni5z5bXrjTfeELa2tiI0NFTExcXpHtnZ2bp92FZCfPjhh+LgwYPi5s2b4ty5c2LWrFlCoVCIPXv2CCHYRuV5eJYGIdhWQgjx7rvvitDQUHHjxg1x7Ngx8eyzzwpra2vdZzbb6IG///5bmJiYiIULF4rIyEixfv16YWFhIdatW6fbh+1VRKPRiIYNG4r333+/xHNso+rBwGsAvv76a+Ht7S1UKpVo3769blqp+mr//v0CQInH+PHjhRBFU9nMmzdPuLm5CbVaLZ5++mkREREhb9EyKK2NAIi1a9fq9mFbCTFx4kTdvy9nZ2fRt29fXdgVgm1UnkcDL9tKiFGjRgl3d3dhamoqPDw8xIgRI8SFCxd0z7ON9P3++++iVatWQq1Wi+bNm4tvvvlG73m2V5Hdu3cLAOLKlSslnmMbVQ9JCCFk6VomIiIiIqoFHMNLREREREaNgZeIiIiIjBoDLxEREREZNQZeIiIiIjJqDLxEREREZNQYeImIiIjIqDHwEhEREZFRY+AlIiIiIqPGwEtEVIf06tULM2bMqLXzTZgwAcOGDau18xER1QQGXiIiIiIyagy8RERERGTUGHiJiOqo/Px8vPfee2jQoAEsLS3RpUsXhIaGAgDS0tJgbm6OkJAQvdds2bIFlpaWyMzMBADcvn0bo0aNgr29PRwdHREUFISoqKhavhIioprFwEtEVEe9+uqrOHLkCIKDg3Hu3DmMHDkSgwYNQmRkJGxtbfHMM89g/fr1eq/55ZdfEBQUBCsrK2RnZ6N3796wsrLCwYMHcfjwYVhZWWHQoEHIz8+X6aqIiKqfidwFEBFR5V2/fh0bNmzArVu34OHhAQCYOXMmQkJCsHbtWnz66acYM2YMxo0bh+zsbFhYWCA9PR07duzA5s2bAQDBwcFQKBT47rvvIEkSAGDt2rWws7NDaGgoBgwYINv1ERFVJwZeIqI66NSpUxBCwNfXV297Xl4eHB0dAQDPPPMMTExMsH37drz00kvYvHkzrK2tdUH25MmTuHbtGqytrfWOkZubi+vXr9fOhRAR1QIGXiKiOkir1UKpVOLkyZNQKpV6z1lZWQEAVCoVXnjhBfzyyy946aWX8Msvv2DUqFEwMTHRHaNDhw4lhj0AgLOzc81fBBFRLWHgJSKqg9q1aweNRoOEhAT06NGjzP3GjBmDAQMG4MKFC9i/fz8+/vhj3XPt27fHxo0b4eLiAhsbm9oom4hIFrxpjYioDvL19dWN0d2yZQtu3ryJEydOYMmSJdi5c6duv549e8LV1RVjxoyBj48PunbtqntuzJgxcHJyQlBQEA4dOoSbN2/iwIEDmD59Om7duiXHZRER1QgGXiKiOmrt2rUYN24c3n33Xfj5+eG5557D8ePH4eXlpdtHkiSMHj0aZ8+exZgxY/Reb2FhgYMHD6Jhw4YYMWIEWrRogYkTJyInJ4c9vkRkVCQhhJC7CCIiIiKimsIeXiIiIiIyagy8RERERGTUGHiJiIiIyKgx8BIRERGRUWPgJSIiIiKjxsBLREREREaNgZeIiIiIjBoDLxEREREZNQZeIiIiIjJqDLxEREREZNQYeImIiIjIqP0/mHTVwuufNOAAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "argo.salinity[:, 10].plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "However, it is often much more powerful to use xarray's `.sel()` method to use label-based indexing." ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.DataArray 'salinity' (date: 75)>\n",
       "array([35.6819458 , 35.52595901, 35.57297134, 35.40494537, 35.45091629,\n",
       "       35.50192261, 35.62397766, 35.51696014, 35.62797546, 35.52292252,\n",
       "       35.47383118, 35.33785629, 35.81896591, 35.88694   , 35.90187836,\n",
       "       36.02391815, 36.00475693, 35.94187927, 35.91583252, 35.86392212,\n",
       "       35.81995392, 35.88601303, 35.95079422, 35.84091568, 35.87992477,\n",
       "               nan, 35.92179108, 35.96979141, 36.0008316 , 35.98083115,\n",
       "       35.92887878, 35.98091888, 35.9838829 , 36.01884842, 35.99092484,\n",
       "       36.04689026, 36.04185867,         nan, 36.19193268, 36.22789764,\n",
       "       36.20986557, 35.97589874, 36.2779007 , 36.25889969, 36.2418251 ,\n",
       "       36.23685837, 36.19781876, 36.19785309, 36.17692184, 36.1048851 ,\n",
       "       36.11392212, 36.09080505,         nan, 36.05675888, 35.93374634,\n",
       "       36.04291534, 36.10183716, 35.97779083, 35.86592102, 35.87791824,\n",
       "       35.88392258, 35.92078781, 35.88601303, 36.05178833, 35.85883713,\n",
       "       35.94878769, 35.8938446 , 35.94379425, 35.90884018, 35.84893036,\n",
       "       35.83496857, 35.71691132, 35.79592896, 35.66290665, 35.66591263])\n",
       "Coordinates:\n",
       "    level    int64 2\n",
       "  * date     (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...\n",
       "    lon      (date) float64 -39.13 -37.28 -36.9 -36.89 ... -33.83 -34.11 -34.38\n",
       "    lat      (date) float64 47.19 46.72 46.45 46.23 ... 42.72 42.6 42.46 42.38
" ], "text/plain": [ "\n", "array([35.6819458 , 35.52595901, 35.57297134, 35.40494537, 35.45091629,\n", " 35.50192261, 35.62397766, 35.51696014, 35.62797546, 35.52292252,\n", " 35.47383118, 35.33785629, 35.81896591, 35.88694 , 35.90187836,\n", " 36.02391815, 36.00475693, 35.94187927, 35.91583252, 35.86392212,\n", " 35.81995392, 35.88601303, 35.95079422, 35.84091568, 35.87992477,\n", " nan, 35.92179108, 35.96979141, 36.0008316 , 35.98083115,\n", " 35.92887878, 35.98091888, 35.9838829 , 36.01884842, 35.99092484,\n", " 36.04689026, 36.04185867, nan, 36.19193268, 36.22789764,\n", " 36.20986557, 35.97589874, 36.2779007 , 36.25889969, 36.2418251 ,\n", " 36.23685837, 36.19781876, 36.19785309, 36.17692184, 36.1048851 ,\n", " 36.11392212, 36.09080505, nan, 36.05675888, 35.93374634,\n", " 36.04291534, 36.10183716, 35.97779083, 35.86592102, 35.87791824,\n", " 35.88392258, 35.92078781, 35.88601303, 36.05178833, 35.85883713,\n", " 35.94878769, 35.8938446 , 35.94379425, 35.90884018, 35.84893036,\n", " 35.83496857, 35.71691132, 35.79592896, 35.66290665, 35.66591263])\n", "Coordinates:\n", " level int64 2\n", " * date (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...\n", " lon (date) float64 -39.13 -37.28 -36.9 -36.89 ... -33.83 -34.11 -34.38\n", " lat (date) float64 47.19 46.72 46.45 46.23 ... 42.72 42.6 42.46 42.38" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "argo.salinity.sel(level=2)" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "argo.salinity.sel(date='2012-10-22').plot(y='level', yincrease=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`.sel()` also supports slicing. Unfortunately we have to use a somewhat awkward syntax, but it still works." ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.DataArray 'salinity' (level: 78, date: 7)>\n",
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       "Coordinates:\n",
       "  * level    (level) int64 0 1 2 3 4 5 6 7 8 9 ... 68 69 70 71 72 73 74 75 76 77\n",
       "  * date     (date) datetime64[ns] 2012-10-02T03:00:17.971200 ... 2012-12-01T...\n",
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34.93285751,\n", " 34.93180847, 34.92786026],\n", " [ nan, 34.91985703, nan, 34.92181015, nan,\n", " 34.92181015, nan]])\n", "Coordinates:\n", " * level (level) int64 0 1 2 3 4 5 6 7 8 9 ... 68 69 70 71 72 73 74 75 76 77\n", " * date (date) datetime64[ns] 2012-10-02T03:00:17.971200 ... 2012-12-01T...\n", " lon (date) float64 -34.46 -33.78 -32.97 -32.55 -32.43 -32.29 -32.17\n", " lat (date) float64 44.96 44.68 44.13 43.64 43.07 42.66 42.51" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "argo.salinity.sel(date=slice('2012-10-01', '2012-12-01'))" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "argo.salinity.sel(date=slice('2012-10-01', '2012-12-01')).plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`.sel()` also works on the whole Dataset" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset>\n",
       "Dimensions:      (level: 78, date: 1)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "  * date         (date) datetime64[ns] 2012-10-22T02:50:32.006400\n",
       "    lon          (date) float64 -32.97\n",
       "    lat          (date) float64 44.13\n",
       "Data variables:\n",
       "    salinity     (level, date) float64 35.47 35.47 35.47 ... 34.93 34.92 nan\n",
       "    temperature  (level, date) float64 17.13 17.13 17.13 ... 3.736 3.639 nan\n",
       "    pressure     (level, date) float64 6.4 10.3 15.4 ... 1.9e+03 1.951e+03 nan
" ], "text/plain": [ "\n", "Dimensions: (level: 78, date: 1)\n", "Coordinates:\n", " * level (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n", " * date (date) datetime64[ns] 2012-10-22T02:50:32.006400\n", " lon (date) float64 -32.97\n", " lat (date) float64 44.13\n", "Data variables:\n", " salinity (level, date) float64 35.47 35.47 35.47 ... 34.93 34.92 nan\n", " temperature (level, date) float64 17.13 17.13 17.13 ... 3.736 3.639 nan\n", " pressure (level, date) float64 6.4 10.3 15.4 ... 1.9e+03 1.951e+03 nan" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "argo.sel(date='2012-10-22')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Computation\n", "\n", "Xarray dataarrays and datasets work seamlessly with arithmetic operators and numpy array functions." ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "temp_kelvin = argo.temperature + 273.15\n", "temp_kelvin.plot(yincrease=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also combine multiple xarray datasets in arithemtic operations" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "g = 9.8\n", "buoyancy = g * (2e-4 * argo.temperature - 7e-4 * argo.salinity)\n", "buoyancy.plot(yincrease=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Broadcasting, Aligment, and Combining Data\n", "\n", "### Broadcasting\n", "\n", "Broadcasting arrays in numpy is a nightmare. It is much easier when the data axes are labeled!\n", "\n", "This is a useless calculation, but it illustrates how perfoming an operation on arrays with differenty coordinates will result in automatic broadcasting" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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       "array([[   0.   ,    0.   ,    0.   , ...,    0.   ,    0.   ,    0.   ],\n",
       "       [  47.187,   46.716,   46.45 , ...,   42.601,   42.457,   42.379],\n",
       "       [  94.374,   93.432,   92.9  , ...,   85.202,   84.914,   84.758],\n",
       "       ...,\n",
       "       [3539.025, 3503.7  , 3483.75 , ..., 3195.075, 3184.275, 3178.425],\n",
       "       [3586.212, 3550.416, 3530.2  , ..., 3237.676, 3226.732, 3220.804],\n",
       "       [3633.399, 3597.132, 3576.65 , ..., 3280.277, 3269.189, 3263.183]])\n",
       "Coordinates:\n",
       "  * level    (level) int64 0 1 2 3 4 5 6 7 8 9 ... 68 69 70 71 72 73 74 75 76 77\n",
       "  * date     (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...\n",
       "    lon      (date) float64 -39.13 -37.28 -36.9 -36.89 ... -33.83 -34.11 -34.38\n",
       "    lat      (date) float64 47.19 46.72 46.45 46.23 ... 42.72 42.6 42.46 42.38
" ], "text/plain": [ "\n", "array([[ 0. , 0. , 0. , ..., 0. , 0. , 0. ],\n", " [ 47.187, 46.716, 46.45 , ..., 42.601, 42.457, 42.379],\n", " [ 94.374, 93.432, 92.9 , ..., 85.202, 84.914, 84.758],\n", " ...,\n", " [3539.025, 3503.7 , 3483.75 , ..., 3195.075, 3184.275, 3178.425],\n", " [3586.212, 3550.416, 3530.2 , ..., 3237.676, 3226.732, 3220.804],\n", " [3633.399, 3597.132, 3576.65 , ..., 3280.277, 3269.189, 3263.183]])\n", "Coordinates:\n", " * level (level) int64 0 1 2 3 4 5 6 7 8 9 ... 68 69 70 71 72 73 74 75 76 77\n", " * date (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...\n", " lon (date) float64 -39.13 -37.28 -36.9 -36.89 ... -33.83 -34.11 -34.38\n", " lat (date) float64 47.19 46.72 46.45 46.23 ... 42.72 42.6 42.46 42.38" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "level_times_lat = argo.level * argo.lat\n", "level_times_lat" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "level_times_lat.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Alignment\n", "\n", "If you try to perform operations on DataArrays that share a dimension name, Xarray will try to _align_ them first.\n", "This works nearly identically to Pandas, except that there can be multiple dimensions to align over.\n", "\n", "To see how alignment works, we will create some subsets of our original data." ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [], "source": [ "sa_surf = argo.salinity.isel(level=slice(0, 20))\n", "sa_mid = argo.salinity.isel(level=slice(10, 30))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "By default, when we combine multiple arrays in mathematical operations, Xarray performs an \"inner join\"." ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.DataArray 'level' (level: 10)>\n",
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<xarray.DataArray 'level' (level: 30)>\n",
       "array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
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       "  * level    (level) int64 0 1 2 3 4 5 6 7 8 9 ... 20 21 22 23 24 25 26 27 28 29
" ], "text/plain": [ "\n", "array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n", " 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])\n", "Coordinates:\n", " * level (level) int64 0 1 2 3 4 5 6 7 8 9 ... 20 21 22 23 24 25 26 27 28 29" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sa_surf_outer, sa_mid_outer = xr.align(sa_surf, sa_mid, join='outer')\n", "sa_surf_outer.level" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As we can see, missing data (NaNs) have been filled in where the array was extended." ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sa_surf_outer.plot(yincrease=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also use `join='right'` and `join='left'`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Combing Data: Concat and Merge\n", "\n", "The ability to combine many smaller arrays into a single big Dataset is one of the main advantages of Xarray.\n", "To take advantage of this, we need to learn two operations that help us combine data:\n", "- `xr.contact`: to concatenate multiple arrays into one bigger array along their dimensions\n", "- `xr.merge`: to combine multiple different arrays into a dataset\n", "\n", "First let's look at concat. Let's re-combine the subsetted data from the previous step." ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.DataArray 'salinity' (level: 40, date: 75)>\n",
       "array([[35.6389389 , 35.51495743, 35.57297134, ..., 35.82093811,\n",
       "        35.77793884, 35.66891098],\n",
       "       [35.63393784, 35.5219574 , 35.57397079, ..., 35.81093216,\n",
       "        35.58389664, 35.66791153],\n",
       "       [35.6819458 , 35.52595901, 35.57297134, ..., 35.79592896,\n",
       "        35.66290665, 35.66591263],\n",
       "       ...,\n",
       "       [35.78895187, 35.7829895 , 35.85100555, ..., 35.84291458,\n",
       "        35.81891251, 35.7779007 ],\n",
       "       [35.76794815, 35.75598526, 35.84500504, ..., 35.84891891,\n",
       "        35.83391571, 35.76390076],\n",
       "       [35.75194168, 35.71097565, 35.83100128, ..., 35.80690765,\n",
       "        35.85292053, 35.75489807]])\n",
       "Coordinates:\n",
       "  * level    (level) int64 0 1 2 3 4 5 6 7 8 9 ... 20 21 22 23 24 25 26 27 28 29\n",
       "  * date     (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...\n",
       "    lon      (date) float64 -39.13 -37.28 -36.9 -36.89 ... -33.83 -34.11 -34.38\n",
       "    lat      (date) float64 47.19 46.72 46.45 46.23 ... 42.72 42.6 42.46 42.38
" ], "text/plain": [ "\n", "array([[35.6389389 , 35.51495743, 35.57297134, ..., 35.82093811,\n", " 35.77793884, 35.66891098],\n", " [35.63393784, 35.5219574 , 35.57397079, ..., 35.81093216,\n", " 35.58389664, 35.66791153],\n", " [35.6819458 , 35.52595901, 35.57297134, ..., 35.79592896,\n", " 35.66290665, 35.66591263],\n", " ...,\n", " [35.78895187, 35.7829895 , 35.85100555, ..., 35.84291458,\n", " 35.81891251, 35.7779007 ],\n", " [35.76794815, 35.75598526, 35.84500504, ..., 35.84891891,\n", " 35.83391571, 35.76390076],\n", " [35.75194168, 35.71097565, 35.83100128, ..., 35.80690765,\n", " 35.85292053, 35.75489807]])\n", "Coordinates:\n", " * level (level) int64 0 1 2 3 4 5 6 7 8 9 ... 20 21 22 23 24 25 26 27 28 29\n", " * date (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...\n", " lon (date) float64 -39.13 -37.28 -36.9 -36.89 ... -33.83 -34.11 -34.38\n", " lat (date) float64 47.19 46.72 46.45 46.23 ... 42.72 42.6 42.46 42.38" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sa_surf_mid = xr.concat([sa_surf, sa_mid], dim='level')\n", "sa_surf_mid" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```{warning}\n", "Xarray won't check the values of the coordinates before `concat`. It will just stick everything together into a new array.\n", "```\n", "\n", "In this case, we had overlapping data. We can see this by looking at the `level` coordinate." ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.DataArray 'level' (level: 40)>\n",
       "array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25,\n",
       "       26, 27, 28, 29])\n",
       "Coordinates:\n",
       "  * level    (level) int64 0 1 2 3 4 5 6 7 8 9 ... 20 21 22 23 24 25 26 27 28 29
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(sa_surf_mid.level.values, marker='o')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also concat data along a _new_ dimension, e.g." ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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       "         35.81891251, 35.7779007 ],\n",
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       "         35.83391571, 35.76390076],\n",
       "        [35.75194168, 35.71097565, 35.83100128, ..., 35.80690765,\n",
       "         35.85292053, 35.75489807]]])\n",
       "Coordinates:\n",
       "  * level    (level) int64 0 1 2 3 4 5 6 7 8 9 ... 20 21 22 23 24 25 26 27 28 29\n",
       "  * date     (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...\n",
       "    lon      (date) float64 -39.13 -37.28 -36.9 -36.89 ... -33.83 -34.11 -34.38\n",
       "    lat      (date) float64 47.19 46.72 46.45 46.23 ... 42.72 42.6 42.46 42.38\n",
       "Dimensions without coordinates: newdim
" ], "text/plain": [ "\n", "array([[[35.6389389 , 35.51495743, 35.57297134, ..., 35.82093811,\n", " 35.77793884, 35.66891098],\n", " [35.63393784, 35.5219574 , 35.57397079, ..., 35.81093216,\n", " 35.58389664, 35.66791153],\n", " [35.6819458 , 35.52595901, 35.57297134, ..., 35.79592896,\n", " 35.66290665, 35.66591263],\n", " ...,\n", " [ nan, nan, nan, ..., nan,\n", " nan, nan],\n", " [ nan, nan, nan, ..., nan,\n", " nan, nan],\n", " [ nan, nan, nan, ..., nan,\n", " nan, nan]],\n", "\n", " [[ nan, nan, nan, ..., nan,\n", " nan, nan],\n", " [ nan, nan, nan, ..., nan,\n", " nan, nan],\n", " [ nan, nan, nan, ..., nan,\n", " nan, nan],\n", " ...,\n", " [35.78895187, 35.7829895 , 35.85100555, ..., 35.84291458,\n", " 35.81891251, 35.7779007 ],\n", " [35.76794815, 35.75598526, 35.84500504, ..., 35.84891891,\n", " 35.83391571, 35.76390076],\n", " [35.75194168, 35.71097565, 35.83100128, ..., 35.80690765,\n", " 35.85292053, 35.75489807]]])\n", "Coordinates:\n", " * level (level) int64 0 1 2 3 4 5 6 7 8 9 ... 20 21 22 23 24 25 26 27 28 29\n", " * date (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07-24T...\n", " lon (date) float64 -39.13 -37.28 -36.9 -36.89 ... -33.83 -34.11 -34.38\n", " lat (date) float64 47.19 46.72 46.45 46.23 ... 42.72 42.6 42.46 42.38\n", "Dimensions without coordinates: newdim" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sa_concat_new = xr.concat([sa_surf, sa_mid], dim='newdim')\n", "sa_concat_new" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that the data were aligned using an _outer_ join along the non-concat dimensions.\n", "\n", "Instead of specifying a new dimension name, we can pass a new Pandas index object explicitly to `concat`.\n", "This will create a new dimension coordinate and corresponding index.\n", "\n", "We can merge both DataArrays and Datasets." ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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       "    salinity     (level, date) float64 35.64 35.51 35.57 35.4 ... nan 34.94 nan\n",
       "    temperature  (level, date) float64 18.97 18.44 19.1 19.79 ... nan 3.714 nan
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       "Data variables:\n",
       "    salinity     (level, date) float64 35.64 35.51 35.57 35.4 ... nan nan nan\n",
       "    temperature  (level, date) float64 nan nan nan nan ... 3.728 nan 3.714 nan
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       "  * date         (date) datetime64[ns] 2012-07-13T22:33:06.019200 ... 2014-07...\n",
       "    lon          (date) float64 -39.13 -37.28 -36.9 ... -33.83 -34.11 -34.38\n",
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       "Data variables:\n",
       "    salinity     (level, date) float64 35.64 35.51 35.57 ... 35.78 35.83 35.76\n",
       "    temperature  (level, date) float64 nan nan nan nan ... 13.59 13.74 13.31
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<xarray.Dataset>\n",
       "Dimensions:      (level: 78)\n",
       "Coordinates:\n",
       "  * level        (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n",
       "Data variables:\n",
       "    salinity     (level) float64 35.91 35.9 35.9 35.9 ... 34.94 34.94 34.93\n",
       "    temperature  (level) float64 17.6 17.57 17.51 17.42 ... 3.789 3.73 3.662\n",
       "    pressure     (level) float64 6.435 10.57 15.54 ... 1.95e+03 1.999e+03
" ], "text/plain": [ "\n", "Dimensions: (level: 78)\n", "Coordinates:\n", " * level (level) int64 0 1 2 3 4 5 6 7 8 ... 69 70 71 72 73 74 75 76 77\n", "Data variables:\n", " salinity (level) float64 35.91 35.9 35.9 35.9 ... 34.94 34.94 34.93\n", " temperature (level) float64 17.6 17.57 17.51 17.42 ... 3.789 3.73 3.662\n", " pressure (level) float64 6.435 10.57 15.54 ... 1.95e+03 1.999e+03" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "argo_mean = argo.mean(dim='date')\n", "argo_mean" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "argo_mean.salinity.plot(y='level', yincrease=False)" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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KS0sVEhJidjkA4FZT59KJkiodLazQsVO9p8eKKnS0sFJZRZVyXmA8aWyInxIiA5QYEaCkqEAlRAQoLtTPfYd9iB93zwPwDC3Ja512zCsAdAWVNXVNek+PFVbqaGGFskuqzjsFlNXLop7h/kqIDFRiRIASIwOUGBmoxMgAJUQEMG4UQLdEeAWAb8nlMrQ/r0wH8sp0tKBSmUUVpwJqpQrKned9rZ+PlxIjAk8F0wAlRAYqKTJAiRGBig/zYxJ8ADgL4RUAWqi23qWdJ0q1OaNIX2YUafPRIjnOMwY1LMBHiRHfBNOEiIYe1KTIAEUH2xhjCgAtQHgFgAuoqqnXtqxid1DdmlnSZPnRAF9vDY4Pdfegnv56PzEiUKEBPiZVDgBdD+EVAM7iqK7VlqPF2pRRpC8zCrXzRKlq6xsPTg0L8NHopAiNSYrQmOQIDYoP4St+AOgAhFcA3d7JMqc2H20YAvBlRpH25jp09jws9hCbxiRHakxyhMYmR6hPdBB38gOACQivALodwzC0O9uht7Ye15r9J3WkoKJJm6TIAI1JjmgIrEkR6hXhz9hUAOgECK8Auo08R7X+te2E3tp6XAfyyt3bLRapnz34VFhtGAoQE+JnYqUAgHMhvALo0ipr6rRyd57e2npc6w4VuOdV9bV6aepAu64fGq9xKREKC/A1t1AAwEUhvALoclwuQ5syivT21uN6f2eOKmq+mRlgdFK4ZozoqelD4hTqzywAAOBpCK8AugTDMHQov1zvbM/Wim0ndKKkyr2vV4S/ZgzvqRkjeigxMtDEKgEA3xbhFYBHKquu1Y6sUm07Vqytx4q1LatEJZW17v3BNquuGxanGSN6alRiODdbAUAXQXgF0Om5XIaOFJRra2aJtmUVa2tmiQ7klzWZzsrX6qWJvSM1Y0RPTR1ol5+PtzkFAwDaDeEVQKdTWlmr7cdLtDWzoUd1+7HiZpdf7Rnur+EJ4RqREKbhCeEaGBciXysLBQBAV0Z4BWCqepehg/ll2nbsm7B6KL+8STs/Hy8N7Rmm4QlhGpEQruEJYYoJZjorAOhuCK8ATPHp/nz939oj2pFVqnJn017VxMgAd0gdkRCufrHB8mH5VQDo9givAEyx8P297oUCAny9NaxnmEYkhml4r4bAGhlkM7lCAEBnRHgFYIrSqoaZAV64bYSmDoyVtxezAQAALozv4ACYourUwgGp9mCCKwDgohFeAZiiqrYhvAb4Mp0VAODiMWwAQIfam+PQG18eU219wySt/szFCgBoAcIrgHZX4azTv7/O1rIvs7Qjq8S9fXhCmEL9fcwrDADgcQivANrNzuOlen3zMb27Pds9HZbVy6K0QXbdMiZBE3tHsWwrAKBFCK8A2lRZda3e2Z6tNzYf064TDvf2pMgA3TImQTeN7KkopsECALQS4RVAm8gqqtSznxzSuzuy3Tdj+Xp76ZrBsbplTILGpUTQywoA+NYIrwC+lbp6l/7yRYZ+//EBVde6JEm9owN1y5gEzRjRUxGBviZXCADoSgivAFptR1aJHnt7p/bmNAwPGJcSoTlT+2l0Uji9rACAdkF4BdBi5c46/faj/Vq64agMQwoL8NHj0wfoeyN7EloBAO2K8AqgRVbuztUv3t2tnNJqSdKNw3voyWsHKJKbsAAAHYDwCuCiVNbU6fG3d+pf27MlSYmRAXrqhsG6LDXa5MoAAN0J4RXABWUWVmj237doX26ZvL0smn15ih64MlV+rI4FAOhghFcA5/Xp/nw9+Po2OarrFBXkq+dmjtDYlEizywIAdFOEVwDNcrkMPffpIS35+IAMo2Ep1+dvHanYUD+zSwMAdGOEVwBNlFTW6OF/fq1Ve/IkSbeOTdDPrx8om5VhAgAAcxFeAbgZhqF3d2TrV//eo4LyGvl6e+mpGwbr5tG9zC4NAABJkpeZb75w4UKNHj1awcHBiomJ0Q033KD9+/c3amMYhubNm6f4+Hj5+/tr8uTJ2r17t0kVA11XZmGFfvjXL/XgG9tVUF6jPjFBevOe8QRXAECnYmp4XbNmje677z5t3LhRq1atUl1dndLS0lRRUeFus3jxYi1ZskTPPvusNm/erNjYWE2dOlVlZWUmVg50HTV1Lj336SGl/f5zrT1YIF+rlx5K66v3H7hMw3qFmV0eAACNWAzDMMwu4rSTJ08qJiZGa9as0eWXXy7DMBQfH6/09HQ9+uijkiSn0ym73a5FixZp9uzZFzymw+FQaGioSktLFRIS0t4fAfAom48W6fG3d+pgfrkk6dI+UXrqhsFKigo0uTIAQHfSkrzWqca8lpaWSpIiIiIkSRkZGcrNzVVaWpq7jc1m06RJk7R+/fpmw6vT6ZTT6XQ/dzgc7Vw14HkMw9DvVx3QHz45JEmKDPTV/1w3UN+9JJ7lXQEAnZqpwwbOZBiG5syZo0svvVSDBw+WJOXm5kqS7HZ7o7Z2u92972wLFy5UaGio+9GrF+P1gLM9v+awO7j+YHQvrf7vSbpheA+CKwCg0+s04fX+++/X119/rddff73JvrP/QjUM45x/yc6dO1elpaXuR1ZWVrvUC3iq1zZlavGHDTdGPnntAP36pqEKC/A1uSoAAC5Opxg28NOf/lTvvvuuPv/8c/Xs2dO9PTY2VlJDD2xcXJx7e35+fpPe2NNsNptsNlv7Fgx4qPd2ZOvJf+2SJN0/pY/uvizF5IoAAGgZU3teDcPQ/fffr7fffluffPKJkpOTG+1PTk5WbGysVq1a5d5WU1OjNWvWaMKECR1dLuDRPtufr58t3y7DkG4bl6D/TutrdkkAALSYqT2v9913n5YtW6Z33nlHwcHB7nGsoaGh8vf3l8ViUXp6uhYsWKDU1FSlpqZqwYIFCggI0MyZM80sHfA4T6zYpTqXoWuHxOmX3xnM+FYAgEcyNbw+//zzkqTJkyc32v7yyy/rjjvukCQ98sgjqqqq0r333qvi4mKNHTtWK1euVHBwcAdXC3i2QfEhOlFSJR9vi7y8CK4AAM/UqeZ5bQ/M8wo02HWiVNf98Qt5WaSP50xSSnSQ2SUBACCpZXmt08w2AKB9De4RqqsGxMhlSM+emiYLAABPQ3gFupEHr2y4Setf208os7DiAq0BAOh8CK9ANzKkZ6gGxoXIZUh7sll9DgDgeQivQDdTWlUrSYoJYT5kAIDnIbwC3Ui9y1Ceo1qSFBfqb3I1AAC0HOEV6EZOljlV5zLk7WVRTDA9rwAAz0N4BbqRfbkN41ztwTZZvfnfHwDgefjbC+gmDMNwT5E1pX+MydUAANA6hFegm/h0f76+yiyWzeqln16RanY5AAC0CuEV6AZcLkO/+eiAJGnWhCTFhvqZXBEAAK1DeAW6gf/szNHeHIeCbVb9ZFJvs8sBAKDVCK9AN7D71IIELsPQzhOlJlcDAEDrEV6BbuAnk3prbHKEKmrqdecrm7V88zGzSwIAoFUIr0A3EBrgo7/9aIxuuCRe9S5Dj761U7/9aL8MwzC7NAAAWoTwCnQTNqu3fv/9S/TAFX0kSc9+ekjpy7fLWVdvcmUAAFw8wivQjVgsFs1J66fF/zVUVi+L3tmerf96foMOnyw3uzQAAC4K4RXohm4e1UtL7xqjsAAf7TxRquv+8IVe25TJMAIAQKdHeAW6qYl9ovThg5fr0j5Rqqqt1xMrdunHf9uiwnKn2aUBAHBOhFegG4sN9dPf7hqjJ68dIF9vL328N09XP7NWn+7PN7s0AACaRXgFujkvL4vuvixF/7pvovrag1RQ7tSdL2/WU//ewzACAECnQ3gFIEkaGB+id++/VHdMSJIk/d8XGfr31znmFgUAwFkIrwDc/Hy8Ne87g/TglamSpKf/s1cVzjqTqwIA4BuEVwBN/GRyb/WK8Feuo1rPfnrI7HIAAHAjvAJows/HWz+/bpAk6f/WHtER5oEFAHQShFcAzbpqQIwm94tWbb2hOf/YIUd1rdklAQBAeAXQPIvFonnXD1Kwn1Xbs0p0y4sbmQMWAGA6wiuAc0qKCtQb/2+cIgN9tTvboZv/vEHZJVVmlwUA6MYIrwDOa1B8qP5xz3jFh/rp8MkKfe+FDcooqDC7LABAN0V4BXBBvaOD9OZPJiglKlAnSqr0vRc26IOdOaqurTe7NABAN2MxuvgSOg6HQ6GhoSotLVVISIjZ5QAe7WSZUz/865fam+OQJAXZrLpqQIymD4nT5X2j5efjbXKFAABP1JK8RngF0CKlVbV67tNDem9HtnJKq93bg2xWTR1o17VD4nRZ3yjZrARZAMDFIbyegfAKtA+Xy9C2rBL95+scvb8zR7mOb4JssM2qqYPsum5onC7tEy1fKyOUAADnRng9A+EVaH8ul6Gtx4r1n50NQTbP8c2UWsF+VqUNjNV1Q+M0sU8UQRYA0ATh9QyEV6BjuVyGthwrdvfI5pd9E2Sjg2164bYRGpkYYWKFAIDOpiV5zdQukOeff15Dhw5VSEiIQkJCNH78eH3wwQfu/YZhaN68eYqPj5e/v78mT56s3bt3m1gxgAvx8rJodFKE5n1nkDbOvVL/mD1es8YnKjrYppNlTs18aZM+3JVrdpkAAA9lanjt2bOnfv3rX+urr77SV199pSuuuELf/e533QF18eLFWrJkiZ599llt3rxZsbGxmjp1qsrKyswsG8BF8vKyaExyhOZ/d7DWPDxZV/aPkbPOpZ+8tkVL1x81uzwAgAfqdMMGIiIi9Jvf/EZ33XWX4uPjlZ6erkcffVSS5HQ6ZbfbtWjRIs2ePfuijsewAaDzqKt36efv7tayTcckSbMvT9Gj1/SXl5fF5MoAAGbymGEDZ6qvr9cbb7yhiooKjR8/XhkZGcrNzVVaWpq7jc1m06RJk7R+/XoTKwXQWlZvLz19w2A9fHU/SdKfPz+iB5dvV129y+TKAACewvTwunPnTgUFBclms+mee+7RihUrNHDgQOXmNoyJs9vtjdrb7Xb3vuY4nU45HI5GDwCdh8Vi0X1T+uh33xsmq5dF7+3I1ucHT5pdFgDAQ5geXvv166ft27dr48aN+slPfqJZs2Zpz5497v0WS+OvEw3DaLLtTAsXLlRoaKj70atXr3arHUDr3TSyp8b3jpQklVTWmlwNAMBTmB5efX191adPH40aNUoLFy7UsGHD9L//+7+KjY2VpCa9rPn5+U16Y880d+5clZaWuh9ZWVntWj+Ab+88/x4FAKAR08Pr2QzDkNPpVHJysmJjY7Vq1Sr3vpqaGq1Zs0YTJkw45+ttNpt76q3TDwCd0+nbRS0ivQIALo7VzDd//PHHNW3aNPXq1UtlZWV644039Nlnn+nDDz+UxWJRenq6FixYoNTUVKWmpmrBggUKCAjQzJkzzSwbQBsx1JBea7hhCwBwkUwNr3l5ebr99tuVk5Oj0NBQDR06VB9++KGmTp0qSXrkkUdUVVWle++9V8XFxRo7dqxWrlyp4OBgM8sG0EaSIgO17lChfr/qgCb1jZY9xM/skgAAnVynm+e1rTHPK9B5lVbVasaf1unwyQoN6RGq5bPHKcDX1H9TAwBM4JHzvALofkL9ffTyHWMUEeirnSdKlf7GdrlcXfrf0wCAb4nwCsBUCZEBeumHI+Vr9dLKPXn61X/2qLq23uyyAACdFMMGAHQK72w/oQff2C5JCvD11pR+MZo2JFZT+sUo0MZQAgDoylqS1/gbAUCn8N1Leqiypl7PfnJIJ0qq9J+dOfrPzhzZrF6a1Dda04fE6YoBMQrx8zG7VACAieh5BdCpGIahr4+X6oNdufpgV44yCyvd+3y9vXRpapSuGRyrtIF2hQX4mlgpAKCttCSvEV4BdFqGYWhvTpk+2JWj93fm6PDJCvc+q5dF43tHatrgOKUNsisqyGZipQCAb4PwegbCK9B1HMwr0we7cvX+zhztyy1zb/eySFMH2vXM94fL39fbxAoBAK1BeD0D4RXomjIKKvTBrhx9uCtXXx8vlSR9f1QvLfqvoSZXBgBoKeZ5BdDlJUcF6t7JffTu/Zfq7z8aI4tFWv5VllZsO252aQCAdkR4BeDxLkuN1oNXpkqSnlixS4fyy02uCADQXgivALqEn16Rqgm9I1VZU6/7XtuqqhoWOgCArojwCqBL8Pay6JkfXKKoIJv255Xpv15Yr325DrPLAgC0McIrgC4jJthPz80crlB/H+3Oduj6P36hZz85qLp6l9mlAQDaCOEVQJcyNiVSq352ua4aYFdtvaHfrjygGc+v14G8sgu/GADQ6RFeAXQ5MSF+eumHI/X77w9TiJ9VXx8v1XV/+EJ/+uwQvbAA4OEIrwC6JIvFohuH99SqOZN0Zf8Y1dS7tPjD/Zrx/Hp9ui9fLleXnuIaALosFikA0OUZhqG3tp7Q/Pd2q6y6TpLUJyZId1+arBuG95CfD6tyAYCZWGHrDIRXAKflOar10udH9MbmLJU7G0JsVJCvbh+XpNvHJyoi0NfkCgGgeyK8noHwCuBsjupaLf8ySy+vy1B2abUkyWb10k0je+pHlyard3SQyRUCQPdCeD0D4RXAudTWu/TBrlz939oj+vp4qXv7VQNidPdlKRqbHCGLxWJihQDQPbRLeJ0xY8ZFF/D2229fdNv2RngFcCGGYejLjCK9tDZDq/fl6fRVcdrgWP3qhsGKCrKZWyAAdHEtyWvWiz1oaGjoty4MADoji8WisSmRGpsSqSMny/WXLzK0fHOWPtiVq00ZRfrVdwfr2qFxZpcJABDDBgCgWbtOlOqhN3doX27D4gbXDonTL787SJH0wgJAm2tJXmv1PK91dXX6+OOP9ec//1llZQ0X9+zsbJWXl7f2kADQaQzuEap3779UD1zRR95eFv1nZ47Sfv+5PtiZY3ZpANCttarnNTMzU9dcc42OHTsmp9OpAwcOKCUlRenp6aqurtYLL7zQHrW2Cj2vAL6tnccbemH3n1pi9rqhcXr0mv7qFRFgcmUA0DW0e8/rgw8+qFGjRqm4uFj+/v7u7TfeeKNWr17dmkMCQKc1pGeo3v3pRN0/paEX9t9f52jKbz/T4yt2KrukyuzyAKBbuegbts70xRdfaN26dfL1bTyhd2Jiok6cONEmhQFAZ2Kzeuuhq/vpmsGxWvThPq09WKBlm47pn18d18yxCbp3cm/FhPiZXSYAdHmt6nl1uVyqr69vsv348eMKDg7+1kUBQGc1uEeo/v6jsfrH7PEamxyhmnqXXll/VJf/5lM9/Z89Kix3ml0iAHRprQqvU6dO1TPPPON+brFYVF5erl/84heaPn16W9UGAJ3WmOQIvfH/xum1u8dqREKYqmtdemlthi5b/KkWf7hPJZU1ZpcIAF1Sq27Yys7O1pQpU+Tt7a2DBw9q1KhROnjwoKKiovT5558rJiamPWptFW7YAtDeDMPQZwdOasnKA9p5omGlrqggm9776UTFhfpf4NUAgA5ZHraqqkqvv/66tm7dKpfLpREjRujWW29tdANXZ0B4BdBRDMPQqj15WvjBPmUUVOiy1Cj97a4xLDELABfQ7uG1srJSAQGeMUUM4RVARzuUX65r/7BWzjqXfnXDYN0+LtHskgCgU2v3qbJiYmJ022236aOPPpLL5WpVkQDQVfWJCdJj0/pLkhb8Z6+OFlSYXBEAdB2tCq9/+9vf5HQ6deONNyo+Pl4PPvigNm/e3Na1AYDHmjU+SeNTIlVVW685/9iueleXXokbADpMq8LrjBkz9OabbyovL08LFy7U3r17NWHCBPXt21e//OUv27pGAPA4Xl4WPXJNP0nS1mMlOnySpbMBoC20KryeFhwcrDvvvFMrV67Ujh07FBgYqPnz57fqWAsXLpTFYlF6erp7m2EYmjdvnuLj4+Xv76/Jkydr9+7d36ZkAOgwL6w5LEka1itMvaODTK4GALqGbxVeq6ur9Y9//EM33HCDRowYocLCQj300EMtPs7mzZv14osvaujQoY22L168WEuWLNGzzz6rzZs3KzY2VlOnTlVZWdm3KRsA2t2Hu3L00e48Wb0sWnTTEHl7MeMAALSFVoXXlStXatasWbLb7brnnnsUExOjjz76SMeOHdOiRYtadKzy8nLdeuuteumllxQeHu7ebhiGnnnmGT3xxBOaMWOGBg8erKVLl6qyslLLli1rTdkA0CFKq2r1P+80fEv0k8m91T+WmU4AoK20KrzecMMNqqys1NKlS5WXl6cXX3xRkyZNalUB9913n6699lpdddVVjbZnZGQoNzdXaWlp7m02m02TJk3S+vXrz3k8p9Mph8PR6AEAHel/Pz6ok2VOpUQH6r4pfcwuBwC6FGtrXpSbm9smc6a+8cYb2rp1a7MzFeTm5kqS7HZ7o+12u12ZmZnnPObChQtbPe4WANrC18dLJEk/vaKP/Hy8zS0GALqYVvW8hoSE6PDhw3ryySd1yy23KD8/X5L04YcfXvQNVVlZWXrwwQf16quvys/P75ztzl6ZxjCM865WM3fuXJWWlrofWVlZF1UPALQVZ13D/Neh/j4mVwIAXU+rwuuaNWs0ZMgQbdq0SW+//bbKyxumgPn666/1i1/84qKOsWXLFuXn52vkyJGyWq2yWq1as2aN/vCHP8hqtbp7XE/3wJ6Wn5/fpDf2TDabTSEhIY0eANCRak6FV19vel0BoK21Krw+9thjeuqpp7Rq1Sr5+vq6t0+ZMkUbNmy4qGNceeWV2rlzp7Zv3+5+jBo1Srfeequ2b9+ulJQUxcbGatWqVe7X1NTUaM2aNZowYUJrygaADlFTfyq8Wr/VhC4AgGa0aszrzp07m73jPzo6WoWFhRd1jODgYA0ePLjRtsDAQEVGRrq3p6ena8GCBUpNTVVqaqoWLFiggIAAzZw5szVlA0CHqKqplyT5+RBeAaCttSq8hoWFKScnR8nJyY22b9u2TT169GiTwiTpkUceUVVVle69914VFxdr7NixWrlypYKDg9vsPQCgLdXWu5RfVi1Jig0993h+AEDrtCq8zpw5U48++qjefPNNWSwWuVwurVu3Tg899JB++MMftrqYzz77rNFzi8WiefPmad68ea0+JgB0pOySKrmMhl7X6CCb2eUAQJfTqu+0nn76aSUkJKhHjx4qLy/XwIEDddlll2nChAl68skn27pGAPAYWUVVkqSe4QHnnRkFANA6rep59fHx0WuvvaZf/epX2rp1q1wul4YPH67U1NS2rg8APEpWcaUkyeplUWVNnQJ8W3WZBQCcw0VfVefMmXPe/Rs3bnT/vmTJktZXBAAeLCKwYQaWfbllmrrkc/38+oFKG2inFxYA2shFh9dt27ZdVDsu0AC6s6sHxeqlH47SvHd360RJlWb/fYuu6B+jedcPUkJkgNnlAYDHsxiGYZhdRHtyOBwKDQ1VaWkpCxYA6DBVNfV69tODevHzI6qtN2Szeum+KX00e1KKbFYWLwCAM7UkrxFeAaAdHcov1y/e3aV1hxrmwE6OCtTDV/fTpalRCvFj+VgAkAivjRBeAZjNMAy993WOnvr3HuWXOSVJFovUPzZEY5LCNSY5UqOTwxUTzLywALonwusZCK8AOouy6lo9++khfbQrV0cLK5vsT4oM0OikCI1OjtCYpAglRjLdFoDugfB6BsIrgM4o31GtzUeL9WVGob48Wqx9uQ6dfTWOCba5g+zopAj1jw2WlxdhFkDXQ3g9A+EVgCcorarV1sxifXm0SJszivT18VLV1LsatQn2szb0zCZFaExyuIb0CJOvtVVrzQBAp0J4PQPhFYAnqq6t1/asEm3OKNKXR4u0NbNYFTX1jdrYrF4a0iNU/WKD1S82WH3twepnD1b4qblmAcBTEF7PQHgF0BXU1bu0N6fM3TO7+WiRCitqmm0bHWxTP/upMBsbpL72YKXagxVkY7UvAJ0T4fUMhFcAXZFhGDp8skK7s0t1IK9M+3PLtD+vTFlFVed8Tc9w/4ZQGxvsDre9YwKZdxaA6QivZyC8AuhOKpx1OphfrgOnwuzpYHt6iq6zeXtZlBQZ0GjYQd/YYCVGBMjqzXhaAB2D8HoGwisASMUVNTpwOszmlelAbrn25TrkqK5rtr2v1Ut9ooPcoXZIj1BN7BPJ1F0A2gXh9QyEVwBonmEYyi9zan9uQ6jdk+3Qx3vzzhloF900RN8fndDBVQLoDlqS1xi9DwDdULmzTvtyHNqT49Ce7Iaf+3LLVFPnatLW28uifvZgDe0Z1vGFAsBZCK8A0IUZhqFcR3VDQD0VUvfmOJpd4UuSAn29NSAuRAPjQzTw1M++9mD5+XBTF4DOgfAKAF1Ebb1LR05WaE9OqTuo7sl2qLiyttn2caF+7oA6IK4hrCZEBLCKF4BOjfAKAB7uk315+v2qg9qfd+6v/ftEBzXqTR0QF6IIFjMA4IEIrwDg4f655bh2nihttM1m9dLMsQm6cXgPvvYH0KUw2wAAeLjiihq9tilTq/bma0dWSaN9vSL8ddUAu6YOsGt0coR8mLsVQCfEVFlnILwC6E7yHdVavS9fH+/J0xeHCuQ8YxhBsJ9VU/rF6KqBdk3qG61Qfx8TKwWAbxBez0B4BdBdVdbU6YuDBfp4b55W781XYUWNe5/Vy6KxKRG6aoBd1wyOVVyov4mVAujuCK9nILwCgFTvMrQ9q0Qf783Tx3vydDC/3L3Pz8dLr/94nIYnhJtYIYDujPB6BsIrADR1tKBCH+/N09tbT2hPjkM9wvz1nwcuVVgAMxAA6HgtyWuM3AeAbigpKlB3X5aiN2aPU2JkgE6UVOm//7FDLleX7s8A0AUQXgGgGwvx89FzM0fI1+ql1fvy9dLaI2aXBADnRXgFgG5ucI9Qzbt+kCRp8Uf79em+fJMrAoBzI7wCAHTLmF767iXxqncZuvOVzXr0n1+rtKr5ZWUBwEyEVwCALBaLFt00VLeNS5AkLf8qS1ctWaMPd+WYXBkANEZ4BQBIkvx8vPXUDUP0j9njlRIVqJNlTt3z6lbd8/ctyndUm10eAEgivAIAzjImOULvP3iZ7pvSW1Yviz7cnaurlqzR8s3H1MVnVwTgAQivAIAm/Hy89fDV/fXu/ZdqSI9QOarr9OhbO/XgG9tVV++68AEAoJ2YGl7nzZsni8XS6BEbG+vebxiG5s2bp/j4ePn7+2vy5MnavXu3iRUDQPcyMD5EK+6doMen95ePt0Xv7sjWz/6xgwALwDSm97wOGjRIOTk57sfOnTvd+xYvXqwlS5bo2Wef1ebNmxUbG6upU6eqrKzMxIoBoHuxenvp/13eW8/NHCEfb4ve25GtOQRYACYxPbxarVbFxsa6H9HR0ZIael2feeYZPfHEE5oxY4YGDx6spUuXqrKyUsuWLTO5agDoftIGxeq5mSNk9WrogSXAAjCD6eH14MGDio+PV3Jysn7wgx/oyJGG1V0yMjKUm5urtLQ0d1ubzaZJkyZp/fr15zye0+mUw+Fo9AAAtI20QbH6063fBNiH3txhdkkAuhlTw+vYsWP1t7/9TR999JFeeukl5ebmasKECSosLFRubq4kyW63N3qN3W5372vOwoULFRoa6n706tWrXT8DAHQ3SVGBSooKlCT9a3u28phGC0AHspr55tOmTXP/PmTIEI0fP169e/fW0qVLNW7cOEkNE2efyTCMJtvONHfuXM2ZM8f93OFwEGABoA2UVtXqmY8P6G8bMlXvMuRr9dKDV6bKHuJndmkAuhFTw+vZAgMDNWTIEB08eFA33HCDJCk3N1dxcXHuNvn5+U16Y89ks9lks9nau1QA6DbqXYaWb87Sb1fuV1FFjSTp6kF2PXntQPWKCDC5OgDdjeljXs/kdDq1d+9excXFKTk5WbGxsVq1apV7f01NjdasWaMJEyaYWCUAdB9fHS3Sd579Qo+v2KmiihqlxgTp1R+N1Z9vH0VwBWAKU3teH3roIV1//fVKSEhQfn6+nnrqKTkcDs2aNUsWi0Xp6elasGCBUlNTlZqaqgULFiggIEAzZ840s2wA6BaWbz6mR99qmL4w2M+qn13VV7ePT5SPd6fq9wDQzZgaXo8fP65bbrlFBQUFio6O1rhx47Rx40YlJiZKkh555BFVVVXp3nvvVXFxscaOHauVK1cqODjYzLIBoFvYeaJUkjQ2OUJ/unWEIoMYkgXAfKaG1zfeeOO8+y0Wi+bNm6d58+Z1TEEAALee4Q3DAuJC/QiuADoNvvsBADSrZ7i/JOl4cZXJlQDANwivAIBm9TrV85pZVKl6l2FyNQDQgPAKAGhWYmRDeD1Z5tTU36/RP77KUk0dy8ECMBfhFQDQrLAAXz157QCF+Fl15GSFHvnn15r0m0/11y8yVFlTZ3Z5ALopi2EYXfq7IIfDodDQUJWWliokJMTscgDA45Q767RsU6b+b22G8suckqTwAB/dOTFZs8YnKTTAx+QKAXi6luQ1wisA4KJU19br7a0n9OfPDyuzsFKSFOjrrVvHJeruS5MVwzKxAFqJ8HoGwisAtK26epfe35WrP316SPtyyyRJvt5eeuYHl2j6kLgLvBoAmmpJXmPMKwCgRazeXvrOsHh98OBlSr8qVZJUU+/S/lNBFgDaE+EVANAq+3LL9NcvMiRJl6VG6d4pvU2uCEB3QHgFALRYRkGFbv/Ll3JU12lkYrj+fPtI2azeZpcFoBswdXlYAIDnOZRfpll/3ayCcqcGxoXor3eMVoAvf50A6BhcbQAAF3SipEr/+Tpb//46R18fL5UkpUQF6m8/GqNQf6bKAtBxCK8AgGbll1Xrg525em9Htr7KLHZv9/ay6PLUKD114xBFBdlMrBBAd0R4BQC4FVfU6MPdDYF145FCuU5NpmixSGOSInT9sHhNGxyrSEIrAJMQXgGgmyurrtXK3Xn699fZWnuwQHWub6b/Hp4QpuuHxuvaoXGyswgBgE6A8AoA3dTeHIee/+ywPtydq5o6l3v7wLgQXT8sXtcNjVOviAATKwSApgivANDNbD1WrOc+OaTV+/Ld23pHB+o7w3roumFx6h0dZGJ1AHB+hFcA6AYMw9D6w4V69pND2nCkUFLDONZrh8Rp9uW9NbhHiCwWi8lVAsCFEV4BoAtzuQyt3pevZz89pB1ZJZIkq5dFM0b00D2TeiuFXlYAHobwCgBdUF29S//ZmaM/fXpY+/PKJEk2q5duGZOgH1+eoh5h/iZXCACtQ3gFgC6kurZeb245rhc/P6ysoipJUpDNqtvGJepHlyYrOpgprgB4NsIrAHQBpVW1enVjpl5el6GC8hpJUniAj+6cmKxZ45MUGsAqWAC6BsIrAHiwPEe1/vJFhl7bmKmKmnpJUo8wf/34smTdPLqXAny5zAPoWriqAYAHOnyyXC+uOaIV206opr5hjtZ+9mDdMzlF1w2Nl4+3l8kVAkD7ILwCQCdXWVOnw/kVOphfpkP55dqV7dDagydlnFoIa3RSuH4yubem9IthuisAXR7hFQA6idLKWh062RBQD+aV69DJhp8nSqqabX/VgBjdM6m3RiVFdHClAGAewisAdCDDMFRYUdMQTk/1pB7ML9eh/HLllznP+bqoIF/1jg5Sqj1IqTHBmtA7Uqn24A6sHAA6B8IrALQDwzCUU1rtDqZnBtWSytpzvi4u1E99YoLUJ6YhpKbag9QnOkjhgb4dWD0AdF6EVwD4lvIc1dp5vLRJUD199//ZLBYpISJAfaKD1OdUOE21B6t3dKCC/ZjSCgDOh/AKAK2U76jWM6sPavnmLNW7jCb7rV4WJUUFKvVUT+rp3tSU6ED5+XibUDEAeD7CKwC0kKO6Vi+uOaK/fJGhqtqG3tX+scHqaw92B9VUe5ASIwOZsgoA2hjhFQAukrOuXq9uPKZnPzmo4lPjVocnhOmxa/prbEqkydUBQPdAeAWAC6h3GXpn+wn9buUB97RVvaMD9cg1/ZU20M7cqgDQgQivAHAOheVOrdyTp6Xrj2pfbpkkyR5i08+u6qv/GtlTVoYEAECHI7wCwBnyHNX6aHeu3t+Zoy8zinT6PqxgP6t+Mrm37pyQLH9fbrYCALOY3m1w4sQJ3XbbbYqMjFRAQIAuueQSbdmyxb3fMAzNmzdP8fHx8vf31+TJk7V7924TKwbQ1RwvrtT/rT2im55fr3ELV+vn7+zWxiMNwXVwjxA9fHU/ff7wFN07uQ/BFQBMZmrPa3FxsSZOnKgpU6bogw8+UExMjA4fPqywsDB3m8WLF2vJkiV65ZVX1LdvXz311FOaOnWq9u/fr+BgVpcB0DpHCyr0wa5cfbArR18fL220b3hCmKYPjtM1g2PVKyLApAoBAM2xGIbRdHLCDvLYY49p3bp1Wrt2bbP7DcNQfHy80tPT9eijj0qSnE6n7Ha7Fi1apNmzZ1/wPRwOh0JDQ1VaWqqQkJA2rR+A5zAMQ4fyy/XBroYhAafHsEoNiwaMSYrQtMGxunpwrOJC/U2sFAC6n5bkNVN7Xt99911dffXV+t73vqc1a9aoR48euvfee/XjH/9YkpSRkaHc3FylpaW5X2Oz2TRp0iStX7++2fDqdDrldH6zPrjD4Wj/DwKgU6qqqdeGIwX6bP9Jfbb/pI4VVbr3eXtZNKF3pK4ZHKu0gbGKDraZWCkA4GKZGl6PHDmi559/XnPmzNHjjz+uL7/8Ug888IBsNpt++MMfKjc3V5Jkt9sbvc5utyszM7PZYy5cuFDz589v99oBdD6GYehIQcWpsJqvTRlFqqlzuff7envp0tQoXTM4VlMH2BUe6GtitQCA1jA1vLpcLo0aNUoLFiyQJA0fPly7d+/W888/rx/+8IfudmfPoWgYxjnnVZw7d67mzJnjfu5wONSrV692qB5AZ1BZU6cNhwsbAuuBfGUVVTXa3yPMX5P7RWtyvxhN6B2pQBuTrACAJzP1Kh4XF6eBAwc22jZgwAC99dZbkqTY2FhJUm5uruLi4txt8vPzm/TGnmaz2WSz8fUf0FWd7l39dF++1hw42Wzv6pjkiFOBNVq9o4NYRAAAuhBTw+vEiRO1f//+RtsOHDigxMRESVJycrJiY2O1atUqDR8+XJJUU1OjNWvWaNGiRR1eLwDz7DpRqn98laVP99O7CgDdmalX+J/97GeaMGGCFixYoJtvvllffvmlXnzxRb344ouSGoYLpKena8GCBUpNTVVqaqoWLFiggIAAzZw508zSAXSA2nqXPtqdq1fWHdVXmcXu7fSuAkD3ZWp4HT16tFasWKG5c+fql7/8pZKTk/XMM8/o1ltvdbd55JFHVFVVpXvvvVfFxcUaO3asVq5cyRyvQBdWVFGj1788plc3ZiqntFqS5ONt0fQhcbp+aLzG07sKAN2WqfO8dgTmeQU8x94ch15Zd1T/2n5CzlPjWKOCfDVzbKJuG5ugmBA/kysEALQHj5nnFQDqXYZW7cnTK+sztPFIkXv74B4hunNCsq4bFieblSVZAQANCK8AOtTp2QI2HC7UhiOF2nSkUAXlNZIaFg64ZnCs7pqYpBEJ4YxjBQA0QXgF0K4Mw9Cxokp3WN1wuFD5Zc5GbcIDfHTLmATdPj6RpVkBAOdFeAXQ5rKKKrXhSKE2Hi7UxiOFyj5109VpvlYvjUgI0/iUKI1LidAlCWEMDQAAXBTCK4BvLae0qqFn9VTv6vHixvOw+nhbdEmvMI1PidS43pEakRAuPx/CKgCg5QivAFrMUV2rzw+c1LpDBdpwuFBHCysb7bd6WTS0Z6jG947UuJRIjUwMV4AvlxsAwLfH3yYALkpGQYVW783T6r352ny0SHWub2bZ87JIQ3qEalzvSI1PidTopAjmYQUAtAv+dgHQrNp6lzYfLdIne/P1yb58HSmoaLS/T0yQJvWN1oTekRqdHKEQPx+TKgUAdCeEVwBuRRU1+mx/vlbvy9fn+0+qzFnn3ufjbdHY5EhdOSBGV/SPUWJkoImVAgC6K8Ir0I0ZhqH9eWVafap3deuxYp255l5koK+m9I/Rlf1jdGlqlILpXQUAmIzwCnQjhmHo8MkKfZlRpM1Hi7SpmWmsBsaFuHtXh/UMk5cXCwUAADoPwivQhdW7DO3NcWhTRpE2nwqshRU1jdrYrF66tE+UrhgQoyn9YhQfxiIBAIDOi/AKdCHOunp9fbxUX2YU6cuMIm3NLG40blVqCKvDE8I0JilCY5IbprHy92XOVQCAZyC8Ah6s3FmnrZnFDUMAMoq0PatENXWuRm2CbVaNSgrX6OQIjU2O0OAeoaxmBQDwWIRXwIM4qmu16UjDWNXNR4u0K9uh+jPmW5WkqCBfjU6K0JjkCI1OitCAuBB5M24VANBFEF6BTqymzqVtx4q17lCBvjhUoB3HS5uE1Z7h/qeGAERodHKEUqICZbEQVgEAXRPhFehEXK6GqatOh9VNR4pUVVvfqE1yVKDGpURqXEpDzyo3WAEAuhPCK2CyEyVVWnewIayuP1yggvLGswFEBflqYp8oTewdpQl9ItUzPMCkSgEAMB/hFehgpZW12nCkIayuO1SojLOWXfX38dbYlAhd2idKE/tEqX9sMMMAAAA4hfAKtLPTq1h9vCdPq/bma+fxEp05bNXby6JhPUPdYXV4Qrh8rV7mFQwAQCdGeAXaQW29S5uPFmnVnjx9vDdPWUVVjfb3iQlyh9WxKREKYdlVAAAuCuEVaCNl1bVac+CkPt6Tp0/3n1RpVa173+lVrKYOtGtSv2jFhXKTFQAArUF4Bb6FnNIq93CADYcLVFv/zXiAiEBfXdk/RlcNtOuy1CgF+PK/GwAA3xZ/mwItcHr86ke78rRqb652nXA02p8SFaipA+26aqBdIxLCWRwAAIA2RngFLkJGQYXe25Gtd3dk61B+uXu7xSKNSAjX1IF2TR1oV+/oIBOrBACg6yO8AueQXVKlf3+drfd25GjniVL3dl+rly5PjVbaQLuuGBCjqCCbiVUCANC9EF6BMxSWO/X+zhy9uyNbm48Wu7d7e1k0sU+UvjMsXmmD7MwOAACASQiv6PZKq2q1cneu3t2RrfWHC1V/xiSsY5IidP0l8Zo+OFaR9LACAGA6wiu6HcMwdCi/XOsONaxy9fmBAtXUu9z7h/YM1XeGxevaoXFMaQUAQCdDeEW3kFVUqfWHG5ZjXX+4UAXlzkb7U2OC9J1h8bp+WLySogJNqhIAAFwI4RVdUn5ZtTYcLtT6Q4Vaf6SgyQpXfj5eGp0UofG9IzWlX4z6xwbLYmFaKwAAOjvCK7qE0qpabTxSqA2HC7XuUIEOnjGdlSRZvSy6pFeYJvSO1IQ+URqeECab1dukagEAQGsRXuGRqmvr9WVGkdYfLtT6wwXadaJUZ9xnJYtFGhgX4g6ro5MiFGTjdAcAwNPxtzk8RnZJlT7Zl69P9+Vr3eECVde6Gu3vHR2oCb2jNKF3pMalRCo80NekSgEAQHsxNbwmJSUpMzOzyfZ7771Xzz33nAzD0Pz58/Xiiy+quLhYY8eO1XPPPadBgwaZUC06Wr3L0PasEn2yL0+f7DupvTmNl2KNC/XTxD5RmtgnUuNTohQb6mdSpQAAoKOYGl43b96s+vp69/Ndu3Zp6tSp+t73vidJWrx4sZYsWaJXXnlFffv21VNPPaWpU6dq//79Cg4ONqtstKPSqlqtPXhSn+zN12cHTqqoosa97/RSrFf0j9GVA2LUz85NVgAAdDcWwzCMCzfrGOnp6fr3v/+tgwcPSpLi4+OVnp6uRx99VJLkdDplt9u1aNEizZ49+6KO6XA4FBoaqtLSUoWEhLRb7WgdwzB0+GSFPt2Xr9X78rT5aHGjRQKC/aya1DdaVw6I0aS+MYpgKAAAAF1OS/JapxnzWlNTo1dffVVz5syRxWLRkSNHlJubq7S0NHcbm82mSZMmaf369ecMr06nU07nN3N4OhyOZtvBPEUVNfoyo2FmgM8OnFRmYWWj/X1ignRF/xhd0T9GIxPD5ePtZVKlAACgs+k04fVf//qXSkpKdMcdd0iScnNzJUl2u71RO7vd3uw42dMWLlyo+fPnt1udaLnCcqc2ZRRp05FCbTxSpP15ZY32+3p7aWxKhDuwJkaySAAAAGhepwmvf/nLXzRt2jTFx8c32n72mEbDMM47znHu3LmaM2eO+7nD4VCvXr3atlicV0G5U5uOFGlTRqE2HinUgbzyJm362oM0LiVSE3pH6dLUKKaxAgAAF6VTJIbMzEx9/PHHevvtt93bYmNjJTX0wMbFxbm35+fnN+mNPZPNZpPNZmu/YtHEyTKnO6huOlLUZIEASeofG6yxyREalxKpMckRigzivxEAAGi5ThFeX375ZcXExOjaa691b0tOTlZsbKxWrVql4cOHS2oYF7tmzRotWrTIrFKhhrC68cipsJpRpEPnCKvjUiI1LiVCY5IjudEKAAC0CdPDq8vl0ssvv6xZs2bJav2mHIvFovT0dC1YsECpqalKTU3VggULFBAQoJkzZ5pYcfdUVl2rD3blasXWE9qYUSjjrNWs+seGaFxKhMYmR2pscgQLBAAAgHZhenj9+OOPdezYMd11111N9j3yyCOqqqrSvffe616kYOXKlczx2kHq6l1ae6hAK7ae0Mo9uY1WtBoYF3JGz2qEwgIIqwAAoP11qnle2wPzvLaMYRjane3Qim0n9M72bBWUfzPtWO/oQM0Y0VM3DO+hHmH+JlYJAAC6Eo+c5xXmyi2t1r+2n9CKrScaTWUVEeir7wyL14wRPTSkRygrWgEAAFMRXrux0qpardydq3e2Z2vd4QL3OFZfq5emDrBrxogeurxvNIsEAACAToPw2s1U1tTp4735em9HttbsP6ma+m/GsY5JitCNI3po+pA4hfr7mFglAABA8wiv3UB1bb0+239S732drdV78xrdeJUaE6Trh8XrxuE91CsiwMQqAQAALozw2kXV1Lm07lCB3tuRrZV78lTurHPvS4wM0PVD43X9sHj1i2XmBgAA4DkIr11IvcvQxiOFem9Htj7YlavSqlr3vvhQP103LF7XD43X4B4h3HgFAAA8EuG1C8gvq9brm7K07MtM5Tm+mdoqKsim64bG6bqhcRqREC4vLwIrAADwbIRXD2UYhrYeK9HfNhzV+ztzVFvfMFVAWICPpg2O1fVD4zU2JVLeBFYAANCFEF49THVtvd7bka2/bcjUzhOl7u0jEsI0a0KSpg2Ok6+Vqa0AAEDXRHj1EMeLK/XapmN648tjKq5sGMvqa/XSd4bFa9b4JA3pGWpyhQAAAO2P8NrJbcks1oufH9aqPXlynVpEID7UT7eNT9QPRicoItDX3AIBAAA6EOG1k8osrNCiD/fp/Z257m0Tekfqh+OTdNWAGFlZ9QoAAHRDhNdOpqSyRn/85JD+tuGoausNeVmkm0b01I8vT1FfO3OyAgCA7o3w2kk46+r19w2Z+sPqg3JUNywoMKlvtOZO76/+sSEmVwcAANA5EF5NZhiG3t+Zq0Uf7tOxokpJUv/YYD0+fYAu7xttcnUAAACdC+HVRDmlVXrwje36MqNIkhQTbNNDaf1008iezM8KAADQDMKrST4/cFLpy7erqKJGAb7emn15b/348mQF+PKfBAAA4FxISh2s3mXoD6sP6g+fHJRhSIPiQ/T8rSOVEBlgdmkAAACdHuG1AxWWO5W+fLvWHiyQJN0yJkG/uH6g/Hy8Ta4MAADAMxBeO8iWzCLd99o25Tqq5e/jradvHKwZI3qaXRYAAIBHIby2M8Mw9Mr6o3r6P3tV5zKUEh2oF24byZytAAAArUB4bUcVzjo99vZOvbcjW5J07dA4LbppqIJs/LEDAAC0BimqnRzKL9dPXt2ig/nlsnpZ9Pj0AbpzYpIsFqbAAgAAaC3Cazt4f2eOHn5zhypq6mUPsem5mSM0KinC7LIAAAA8HuG1DdXWu7Tog336vy8yJEljkyP07MwRig62mVwZAABA10B4bUPOOpc+2Z8vSZp9eYoevrqfrN5eJlcFAADQdRBe21CQzaoXbhupIyfLdc3gOLPLAQAA6HIIr22srz2YabAAAADaCd9pAwAAwGMQXgEAAOAxCK8AAADwGIRXAAAAeAzCKwAAADwG4RUAAAAeg/AKAAAAj2FqeK2rq9OTTz6p5ORk+fv7KyUlRb/85S/lcrncbQzD0Lx58xQfHy9/f39NnjxZu3fvNrFqAAAAmMXU8Lpo0SK98MILevbZZ7V3714tXrxYv/nNb/THP/7R3Wbx4sVasmSJnn32WW3evFmxsbGaOnWqysrKTKwcAAAAZjA1vG7YsEHf/e53de211yopKUn/9V//pbS0NH311VeSGnpdn3nmGT3xxBOaMWOGBg8erKVLl6qyslLLli0zs3QAAACYwNTweumll2r16tU6cOCAJGnHjh364osvNH36dElSRkaGcnNzlZaW5n6NzWbTpEmTtH79+maP6XQ65XA4Gj0AAADQNVjNfPNHH31UpaWl6t+/v7y9vVVfX6+nn35at9xyiyQpNzdXkmS32xu9zm63KzMzs9ljLly4UPPnz2/fwgEAAGAKU3tely9frldffVXLli3T1q1btXTpUv32t7/V0qVLG7WzWCyNnhuG0WTbaXPnzlVpaan7kZWV1W71AwAAoGOZ2vP68MMP67HHHtMPfvADSdKQIUOUmZmphQsXatasWYqNjZXU0AMbFxfnfl1+fn6T3tjTbDabbDZb+xcPAACADmdqeK2srJSXV+POX29vb/dUWcnJyYqNjdWqVas0fPhwSVJNTY3WrFmjRYsWXdR7GIYhSYx9BQAA6KRO57TTue18TA2v119/vZ5++mklJCRo0KBB2rZtm5YsWaK77rpLUsNwgfT0dC1YsECpqalKTU3VggULFBAQoJkzZ17Ue5yeUqtXr17t9jkAAADw7ZWVlSk0NPS8bSzGxUTcdlJWVqb/+Z//0YoVK5Sfn6/4+Hjdcsst+vnPfy5fX19JDQl8/vz5+vOf/6zi4mKNHTtWzz33nAYPHnxR7+FyuZSdna3g4OAm42QdDod69eqlrKwshYSEtPnng2fhfMCZOB9wJs4HnMa50D4Mw1BZWZni4+ObfCt/NlPDq9kcDodCQ0NVWlrKCQjOBzTC+YAzcT7gNM4F85k62wAAAADQEoRXAAAAeIxuHV5tNpt+8YtfMLUWJHE+oDHOB5yJ8wGncS6Yr1uPeQUAAIBn6dY9rwAAAPAshFcAAAB4DMIrAAAAPAbhFQAAAB6jy4XXP/3pT0pOTpafn59GjhyptWvXnrf9mjVrNHLkSPn5+SklJUUvvPBCkzZvvfWWBg4cKJvNpoEDB2rFihXtVT7aWFufD6+88oosFkuTR3V1dXt+DLSBlpwLOTk5mjlzpvr16ycvLy+lp6c3245rg+dq6/OBa4Nna8n58Pbbb2vq1KmKjo5WSEiIxo8fr48++qhJO64P7adLhdfly5crPT1dTzzxhLZt26bLLrtM06ZN07Fjx5ptn5GRoenTp+uyyy7Ttm3b9Pjjj+uBBx7QW2+95W6zYcMGff/739ftt9+uHTt26Pbbb9fNN9+sTZs2ddTHQiu1x/kgSSEhIcrJyWn08PPz64iPhFZq6bngdDoVHR2tJ554QsOGDWu2DdcGz9Ue54PEtcFTtfR8+PzzzzV16lS9//772rJli6ZMmaLrr79e27Ztc7fh+tDOjC5kzJgxxj333NNoW//+/Y3HHnus2faPPPKI0b9//0bbZs+ebYwbN879/OabbzauueaaRm2uvvpq4wc/+EEbVY320h7nw8svv2yEhoa2ea1oXy09F840adIk48EHH2yynWuD52qP84Frg+f6NufDaQMHDjTmz5/vfs71oX11mZ7XmpoabdmyRWlpaY22p6Wlaf369c2+ZsOGDU3aX3311frqq69UW1t73jbnOiY6h/Y6HySpvLxciYmJ6tmzp6677rpG/9pG59Oac+FicG3wTO11PkhcGzxRW5wPLpdLZWVlioiIcG/j+tC+ukx4LSgoUH19vex2e6Ptdrtdubm5zb4mNze32fZ1dXUqKCg4b5tzHROdQ3udD/3799crr7yid999V6+//rr8/Pw0ceJEHTx4sH0+CL611pwLF4Nrg2dqr/OBa4Nnaovz4Xe/+50qKip08803u7dxfWhfVrMLaGsWi6XRc8Mwmmy7UPuzt7f0mOg82vp8GDdunMaNG+feP3HiRI0YMUJ//OMf9Yc//KGtykY7aI//j7k2eK62/m/HtcGztfZ8eP311zVv3jy98847iomJaZNj4sK6THiNioqSt7d3k3/V5OfnN/nXz2mxsbHNtrdarYqMjDxvm3MdE51De50PZ/Py8tLo0aPpXenEWnMuXAyuDZ6pvc6Hs3Ft8Azf5nxYvny5fvSjH+nNN9/UVVdd1Wgf14f21WWGDfj6+mrkyJFatWpVo+2rVq3ShAkTmn3N+PHjm7RfuXKlRo0aJR8fn/O2Odcx0Tm01/lwNsMwtH37dsXFxbVN4WhzrTkXLgbXBs/UXufD2bg2eIbWng+vv/667rjjDi1btkzXXnttk/1cH9qZOfeJtY833njD8PHxMf7yl78Ye/bsMdLT043AwEDj6NGjhmEYxmOPPWbcfvvt7vZHjhwxAgICjJ/97GfGnj17jL/85S+Gj4+P8c9//tPdZt26dYa3t7fx61//2ti7d6/x61//2rBarcbGjRs7/POhZdrjfJg3b57x4YcfGocPHza2bdtm3HnnnYbVajU2bdrU4Z8PF6+l54JhGMa2bduMbdu2GSNHjjRmzpxpbNu2zdi9e7d7P9cGz9Ue5wPXBs/V0vNh2bJlhtVqNZ577jkjJyfH/SgpKXG34frQvrpUeDUMw3juueeMxMREw9fX1xgxYoSxZs0a975Zs2YZkyZNatT+s88+M4YPH274+voaSUlJxvPPP9/kmG+++abRr18/w8fHx+jfv7/x1ltvtffHQBtp6/MhPT3dSEhIMHx9fY3o6GgjLS3NWL9+fUd8FHxLLT0XJDV5JCYmNmrDtcFztfX5wLXBs7XkfJg0aVKz58OsWbMaHZPrQ/uxGMapO1IAAACATq7LjHkFAABA10d4BQAAgMcgvAIAAMBjEF4BAADgMQivAAAA8BiEVwAAAHgMwisAAAA8BuEVADohi8Wif/3rX5Kko0ePymKxaPv27Rf9+nnz5umSSy5pl9oAwEwsUgAAnZDFYtGKFSt0ww03qL6+XidPnlRUVJSsVutFvb68vFxOp1ORkZGSpDvuuEMlJSXuQAwAnuriroIAANN4e3srNja2Ra8JCgpSUFBQO1UEAOZh2AAAtJN//vOfGjJkiPz9/RUZGamrrrpKFRUV2rx5s6ZOnaqoqCiFhoZq0qRJ2rp16zmPc/awgc8++0wWi0WrV6/WqFGjFBAQoAkTJmj//v3u15w5bGDevHlaunSp3nnnHVksFlksFn322We64oordP/99zd6r8LCQtlsNn3yySdt/ucBAG2B8AoA7SAnJ0e33HKL7rrrLu3du1efffaZZsyYIcMwVFZWplmzZmnt2rXauHGjUlNTNX36dJWVlbXoPZ544gn97ne/01dffSWr1aq77rqr2XYPPfSQbr75Zl1zzTXKyclRTk6OJkyYoLvvvlvLli2T0+l0t33ttdcUHx+vKVOmfKvPDwDthWEDANAOcnJyVFdXpxkzZigxMVGSNGTIEEnSFVdc0ajtn//8Z4WHh2vNmjW67rrrLvo9nn76aU2aNEmS9Nhjj+naa69VdXW1/Pz8GrULCgqSv7+/nE5no+EHN910k37605/qnXfe0c033yxJevnll3XHHXfIYrG0/EMDQAeg5xUA2sGwYcN05ZVXasiQIfre976nl156ScXFxZKk/Px83XPPPerbt69CQ0MVGhqq8vJyHTt2rEXvMXToUPfvcXFx7mNfLJvNpttuu01//etfJUnbt2/Xjh07dMcdd7SoDgDoSIRXAGgH3t7eWrVqlT744AMNHDhQf/zjH9WvXz9lZGTojjvu0JYtW/TMM89o/fr12r59uyIjI1VTU9Oi9/Dx8XH/frqn1OVytegYd999t1atWqXjx4/rr3/9q6688kp3TzEAdEaEVwBoJxaLRRMnTtT8+fO1bds2+fr6asWKFVq7dq0eeOABTZ8+XYMGDZLNZlNBQUG71uLr66v6+vom24cMGaJRo0bppZde0rJly845bhYAOgvGvAJAO9i0aZNWr16ttLQ0xcTEaNOmTTp58qQGDBigPn366O9//7tGjRolh8Ohhx9+WP7+/u1aT1JSkj766CPt379fkZGRCg0Ndffc3n333br//vsVEBCgG2+8sV3rAIBvi55XAGgHISEh+vzzzzV9+nT17dtXTz75pH73u99p2rRp+utf/6ri4mINHz5ct99+ux544AHFxMS0az0//vGP1a9fP40aNUrR0dFat26de98tt9wiq9WqmTNnNrnZCwA6G1bYAoBuLisrS0lJSdq8ebNGjBhhdjkAcF6EVwDopmpra5WTk6PHHntMmZmZjXpjAaCzYtgAAHRT69atU2JiorZs2aIXXnjB7HIA4KLQ8woAAACPQc8rAAAAPAbhFQAAAB6D8AoAAACPQXgFAACAxyC8AgAAwGMQXgEAAOAxCK8AAADwGIRXAAAAeAzCKwAAADzG/wcPwShQcspSIwAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "argo_std = argo.std(dim='date')\n", "argo_std.salinity.plot(y='level', yincrease=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Weighted Reductions\n", "\n", "Sometimes we want to perform a reduction (e.g. a mean) where we assign different weight factors to each point in the array.\n", "Xarray supports this via [weighted array reductions](http://xarray.pydata.org/en/stable/user-guide/computation.html#weighted-array-reductions).\n", "\n", "As a toy example, imagine we want to weight values in the upper ocean more than the lower ocean.\n", "We could imagine creating a weight array exponentially proportional to pressure as follows:" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 50, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mean_pressure = argo.pressure.mean(dim='date')\n", "p0 = 250 # dbat\n", "weights = np.exp(-mean_pressure / p0)\n", "weights.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The weighted mean over the `level` dimensions is calculated as follows:" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [], "source": [ "temp_weighted_mean = argo.temperature.weighted(weights).mean('level')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Comparing to the unweighted mean, we see the difference:" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 52, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "temp_weighted_mean.plot(label='weighted')\n", "argo.temperature.mean(dim='level').plot(label='unweighted')\n", "plt.legend()" ] }, { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "## Loading Data from netCDF Files\n", "\n", "NetCDF (Network Common Data Format) is the most widely used format for distributing geoscience data. NetCDF is maintained by the [Unidata](https://www.unidata.ucar.edu/) organization.\n", "\n", "Below we quote from the [NetCDF website](https://www.unidata.ucar.edu/software/netcdf/docs/faq.html#whatisit):\n", "\n", ">NetCDF (network Common Data Form) is a set of interfaces for array-oriented data access and a freely distributed collection of data access libraries for C, Fortran, C++, Java, and other languages. The netCDF libraries support a machine-independent format for representing scientific data. Together, the interfaces, libraries, and format support the creation, access, and sharing of scientific data.\n", ">\n", ">NetCDF data is:\n", ">\n", "> - Self-Describing. A netCDF file includes information about the data it contains.\n", "> - Portable. A netCDF file can be accessed by computers with different ways of storing integers, characters, and floating-point numbers.\n", "> - Scalable. A small subset of a large dataset may be accessed efficiently.\n", "> - Appendable. Data may be appended to a properly structured netCDF file without copying the dataset or redefining its structure.\n", "> - Sharable. One writer and multiple readers may simultaneously access the same netCDF file.\n", "> - Archivable. Access to all earlier forms of netCDF data will be supported by current and future versions of the software.\n", "\n", "Xarray was designed to make reading netCDF files in python as easy, powerful, and flexible as possible. (See [xarray netCDF docs](http://xarray.pydata.org/en/latest/io.html#netcdf) for more details.)\n", "\n", "Below we download and load some the NASA [GISSTemp](https://data.giss.nasa.gov/gistemp/) global temperature anomaly dataset." ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [], "source": [ "gistemp_file = pooch.retrieve(\n", " 'https://data.giss.nasa.gov/pub/gistemp/gistemp1200_GHCNv4_ERSSTv5.nc.gz',\n", " known_hash='52e5c2d0b601ccb5188301ca5247b0563c0000dc6086dffa8489e555a109f3d0',\n", " processor=pooch.Decompress(),\n", ")" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset>\n",
       "Dimensions:      (lat: 90, lon: 180, time: 1715, nv: 2)\n",
       "Coordinates:\n",
       "  * lat          (lat) float32 -89.0 -87.0 -85.0 -83.0 ... 83.0 85.0 87.0 89.0\n",
       "  * lon          (lon) float32 -179.0 -177.0 -175.0 -173.0 ... 175.0 177.0 179.0\n",
       "  * time         (time) datetime64[ns] 1880-01-15 1880-02-15 ... 2022-11-15\n",
       "Dimensions without coordinates: nv\n",
       "Data variables:\n",
       "    time_bnds    (time, nv) datetime64[ns] ...\n",
       "    tempanomaly  (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    title:        GISTEMP Surface Temperature Analysis\n",
       "    institution:  NASA Goddard Institute for Space Studies\n",
       "    source:       http://data.giss.nasa.gov/gistemp/\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Created 2022-12-12 11:35:15 by SBBX_to_nc 2.0 - ILAND=1200,...
" ], "text/plain": [ "\n", "Dimensions: (lat: 90, lon: 180, time: 1715, nv: 2)\n", "Coordinates:\n", " * lat (lat) float32 -89.0 -87.0 -85.0 -83.0 ... 83.0 85.0 87.0 89.0\n", " * lon (lon) float32 -179.0 -177.0 -175.0 -173.0 ... 175.0 177.0 179.0\n", " * time (time) datetime64[ns] 1880-01-15 1880-02-15 ... 2022-11-15\n", "Dimensions without coordinates: nv\n", "Data variables:\n", " time_bnds (time, nv) datetime64[ns] ...\n", " tempanomaly (time, lat, lon) float32 ...\n", "Attributes:\n", " title: GISTEMP Surface Temperature Analysis\n", " institution: NASA Goddard Institute for Space Studies\n", " source: http://data.giss.nasa.gov/gistemp/\n", " Conventions: CF-1.6\n", " history: Created 2022-12-12 11:35:15 by SBBX_to_nc 2.0 - ILAND=1200,..." ] }, "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds = xr.open_dataset(gistemp_file)\n", "ds" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 55, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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\n", 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