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Plotting HYCOM SST data in Python
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# Plotting HYCOM/RTOFS SST data in Python\n", | |
"\n", | |
"This notebook highlights some basics on reading in RTOFS/netCDF output into Python, manipulating that data, and plotting it. For additional examples, [Filipe Fernandes has a great example of similar operations on his blog](https://ocefpaf.github.io/python4oceanographers/blog/2014/12/29/iris_ocean_models/).\n", | |
"\n", | |
"**Author**: [Daniel Rothenberg]([email protected])" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"import netCDF4 as nc\n", | |
"import numpy as np\n", | |
"\n", | |
"%matplotlib inline\n", | |
"import matplotlib.pyplot as plt\n", | |
"import seaborn as sns\n", | |
"sns.set(style=\"ticks\")" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Download some RTOFS global output. It's a rather large file, so be sure to comment out this command once it's already downloaded!" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"#!curl -O ftp://ftpprd.ncep.noaa.gov/pub/data/nccf/com/rtofs/prod/rtofs.20150701/rtofs_glo_2ds_f001_1hrly_prog.nc" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"For starters, let's read in the data using the Unidate `netCDF4` module. This module gives very low-level access to the netCDF file - basically just its raw contents and metadata. We load the file directly into memory using the `Dataset` type, and print it to give an overview of its contents." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"<type 'netCDF4.Dataset'>\n", | |
"root group (NETCDF3_CLASSIC data model, file format UNDEFINED):\n", | |
" Conventions: CF-1.0\n", | |
" title: HYCOM ATLb2.00\n", | |
" institution: National Centers for Environmental Prediction\n", | |
" source: HYCOM archive file\n", | |
" experiment: 90.9\n", | |
" history: archv2ncdf2d\n", | |
" dimensions(sizes): MT(1), Y(3298), X(4500), Layer(1)\n", | |
" variables(dimensions): float64 \u001b[4mMT\u001b[0m(MT), float64 \u001b[4mDate\u001b[0m(MT), int32 \u001b[4mLayer\u001b[0m(Layer), int32 \u001b[4mY\u001b[0m(Y), int32 \u001b[4mX\u001b[0m(X), float32 \u001b[4mLatitude\u001b[0m(Y,X), float32 \u001b[4mLongitude\u001b[0m(Y,X), float32 \u001b[4mu_velocity\u001b[0m(MT,Layer,Y,X), float32 \u001b[4mv_velocity\u001b[0m(MT,Layer,Y,X), float32 \u001b[4msst\u001b[0m(MT,Y,X), float32 \u001b[4msss\u001b[0m(MT,Y,X), float32 \u001b[4mlayer_density\u001b[0m(MT,Layer,Y,X)\n", | |
" groups: \n", | |
"\n" | |
] | |
} | |
], | |
"source": [ | |
"fn = \"rtofs_glo_2ds_f001_1hrly_prog.nc\"\n", | |
"data = nc.Dataset(fn)\n", | |
"print data" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Each `Dataset` object contains a dict-like interface for accessing variables, which can be selected by their *var_name* from the original netCDF file. Let's select the SST data and inspect it in more detail." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"<type 'netCDF4.Variable'>\n", | |
"float32 sst(MT, Y, X)\n", | |
" coordinates: Longitude Latitude Date\n", | |
" standard_name: sea_surface_temperature\n", | |
" units: degC\n", | |
" _FillValue: 1.26765e+30\n", | |
" valid_range: [ -3.58215308 34.7584877 ]\n", | |
" long_name: sea surf. temp. [90.9H]\n", | |
"unlimited dimensions: MT\n", | |
"current shape = (1, 3298, 4500)\n", | |
"filling off\n", | |
"\n" | |
] | |
} | |
], | |
"source": [ | |
"sst = data.variables['sst']\n", | |
"print sst" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"This gives us a quick overview of the sst data. It's a 3-dimensional dataset (time, latitude, and longitude). Furthermore, from the inspection of the full dataset, we can see that the latitude and longitude coordinates are actually aliases for a complex, 2D latitude-longitude system underpinning the model coordinate systems. \n", | |
"\n", | |
"---\n", | |
"\n", | |
"Note that we can use standard netCDF terminal commands to also inspect the contents of the dataset:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"netcdf rtofs_glo_2ds_f001_1hrly_prog {\r\n", | |
"dimensions:\r\n", | |
"\tMT = UNLIMITED ; // (1 currently)\r\n", | |
"\tY = 3298 ;\r\n", | |
"\tX = 4500 ;\r\n", | |
"\tLayer = 1 ;\r\n", | |
"variables:\r\n", | |
"\tdouble MT(MT) ;\r\n", | |
"\t\tMT:long_name = \"time\" ;\r\n", | |
"\t\tMT:units = \"days since 1900-12-31 00:00:00\" ;\r\n", | |
"\t\tMT:calendar = \"standard\" ;\r\n", | |
"\t\tMT:axis = \"T\" ;\r\n", | |
"\tdouble Date(MT) ;\r\n", | |
"\t\tDate:long_name = \"date\" ;\r\n", | |
"\t\tDate:units = \"day as %Y%m%d.%f\" ;\r\n", | |
"\t\tDate:C_format = \"%13.4f\" ;\r\n", | |
"\t\tDate:FORTRAN_format = \"(f13.4)\" ;\r\n", | |
"\tint Layer(Layer) ;\r\n", | |
"\t\tLayer:units = \"layer\" ;\r\n", | |
"\t\tLayer:positive = \"down\" ;\r\n", | |
"\t\tLayer:axis = \"Z\" ;\r\n", | |
"\tint Y(Y) ;\r\n", | |
"\t\tY:point_spacing = \"even\" ;\r\n", | |
"\t\tY:axis = \"Y\" ;\r\n", | |
"\tint X(X) ;\r\n", | |
"\t\tX:point_spacing = \"even\" ;\r\n", | |
"\t\tX:axis = \"X\" ;\r\n", | |
"\tfloat Latitude(Y, X) ;\r\n", | |
"\t\tLatitude:standard_name = \"latitude\" ;\r\n", | |
"\t\tLatitude:units = \"degrees_north\" ;\r\n", | |
"\tfloat Longitude(Y, X) ;\r\n", | |
"\t\tLongitude:standard_name = \"longitude\" ;\r\n", | |
"\t\tLongitude:units = \"degrees_east\" ;\r\n", | |
"\t\tLongitude:modulo = \"360 degrees\" ;\r\n", | |
"\tfloat u_velocity(MT, Layer, Y, X) ;\r\n", | |
"\t\tu_velocity:coordinates = \"Longitude Latitude Date\" ;\r\n", | |
"\t\tu_velocity:standard_name = \"eastward_sea_water_velocity\" ;\r\n", | |
"\t\tu_velocity:units = \"m/s\" ;\r\n", | |
"\t\tu_velocity:_FillValue = 1.267651e+30f ;\r\n", | |
"\t\tu_velocity:valid_range = -2.127099f, 2.834078f ;\r\n", | |
"\t\tu_velocity:long_name = \" u-veloc. [90.9H]\" ;\r\n", | |
"\tfloat v_velocity(MT, Layer, Y, X) ;\r\n", | |
"\t\tv_velocity:coordinates = \"Longitude Latitude Date\" ;\r\n", | |
"\t\tv_velocity:standard_name = \"northward_sea_water_velocity\" ;\r\n", | |
"\t\tv_velocity:units = \"m/s\" ;\r\n", | |
"\t\tv_velocity:_FillValue = 1.267651e+30f ;\r\n", | |
"\t\tv_velocity:valid_range = -2.466692f, 2.390137f ;\r\n", | |
"\t\tv_velocity:long_name = \" v-veloc. [90.9H]\" ;\r\n", | |
"\tfloat sst(MT, Y, X) ;\r\n", | |
"\t\tsst:coordinates = \"Longitude Latitude Date\" ;\r\n", | |
"\t\tsst:standard_name = \"sea_surface_temperature\" ;\r\n", | |
"\t\tsst:units = \"degC\" ;\r\n", | |
"\t\tsst:_FillValue = 1.267651e+30f ;\r\n", | |
"\t\tsst:valid_range = -3.582153f, 34.75849f ;\r\n", | |
"\t\tsst:long_name = \" sea surf. temp. [90.9H]\" ;\r\n", | |
"\tfloat sss(MT, Y, X) ;\r\n", | |
"\t\tsss:coordinates = \"Longitude Latitude Date\" ;\r\n", | |
"\t\tsss:standard_name = \"sea_surface_salinity\" ;\r\n", | |
"\t\tsss:units = \"psu\" ;\r\n", | |
"\t\tsss:_FillValue = 1.267651e+30f ;\r\n", | |
"\t\tsss:valid_range = 0.2699257f, 40.10468f ;\r\n", | |
"\t\tsss:long_name = \"sea surf. salnity [90.9H]\" ;\r\n", | |
"\tfloat layer_density(MT, Layer, Y, X) ;\r\n", | |
"\t\tlayer_density:coordinates = \"Longitude Latitude Date\" ;\r\n", | |
"\t\tlayer_density:standard_name = \"sea_water_potential_density\" ;\r\n", | |
"\t\tlayer_density:units = \"sigma\" ;\r\n", | |
"\t\tlayer_density:_FillValue = 1.267651e+30f ;\r\n", | |
"\t\tlayer_density:valid_range = 0.f, 0.f ;\r\n", | |
"\t\tlayer_density:long_name = \" density [90.9H]\" ;\r\n", | |
"\r\n", | |
"// global attributes:\r\n", | |
"\t\t:Conventions = \"CF-1.0\" ;\r\n", | |
"\t\t:title = \"HYCOM ATLb2.00\" ;\r\n", | |
"\t\t:institution = \"National Centers for Environmental Prediction\" ;\r\n", | |
"\t\t:source = \"HYCOM archive file\" ;\r\n", | |
"\t\t:experiment = \"90.9\" ;\r\n", | |
"\t\t:history = \"archv2ncdf2d\" ;\r\n", | |
"}\r\n" | |
] | |
} | |
], | |
"source": [ | |
"!ncdump -h {fn}" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"---\n", | |
"\n", | |
"Another useful package for reading in netCDF or other structured datasets is [`xray`](http://xray.readthedocs.org/en/stable/). `xray` automatically labels coordinate axes and gives a `pandas`-like interface to manipulating data. For instance, here is an example of selecting the sst data from the netCDF file using `xray`, and plotting the distribution of temperature values:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"<xray.DataArray 'sst' (Y: 3298, X: 4500)>\n", | |
"array([[ nan, nan, nan, ..., nan, nan, nan],\n", | |
" [ nan, nan, nan, ..., nan, nan, nan],\n", | |
" [ nan, nan, nan, ..., nan, nan, nan],\n", | |
" ..., \n", | |
" [ nan, nan, nan, ..., nan, nan, nan],\n", | |
" [ nan, nan, nan, ..., nan, nan, nan],\n", | |
" [ nan, nan, nan, ..., nan, nan, nan]])\n", | |
"Coordinates:\n", | |
" MT datetime64[ns] 2015-07-01T01:00:00.028800\n", | |
" * Y (Y) int32 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 ...\n", | |
" * X (X) int32 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 ...\n", | |
" Latitude (Y, X) float32 -78.64 -78.64 -78.64 -78.64 -78.64 -78.64 ...\n", | |
" Longitude (Y, X) float32 74.16 74.24 74.3199 74.4 74.48 74.5601 74.64 ...\n", | |
" Date float64 2.015e+07\n", | |
"Attributes:\n", | |
" standard_name: sea_surface_temperature\n", | |
" units: degC\n", | |
" valid_range: [ -3.58215308 34.7584877 ]\n", | |
" long_name: sea surf. temp. [90.9H]\n" | |
] | |
}, | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.image.AxesImage at 0x123906fd0>" | |
] | |
}, | |
"execution_count": 6, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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pkJYY+wxCG3AMwIZ1CgDJ0bfQ9ur1esHEqiN7AY5IBUE6iA5WgmBTmVgrKhBs+JCw2GaP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\nnbOGVKYWKVd64RUHkOQOYNO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oZwCner0urVYrLzSgg1k4V5I1O35PtVpNdnZ2ZHd3V46O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D8lcpR0wcOkOKJ6l/JgKgjSElIrWF5hApALPDVgfHkzbbAOItry5O/U0qKdRwiyUqkcm9CLU0p2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\nDAGZIDMyMjIyMgRkgszIyMjIyBDw/wfU7V3lURBAAAAAAElFTkSuQmCC\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x10ae63650>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"import xray\n", | |
"ds = xray.open_dataset(fn, decode_times=True)\n", | |
"sst = ds.sst.values.ravel()\n", | |
"sst_masked = sst[~np.isnan(sst)]\n", | |
"\n", | |
"## Masking a numpy array with multiple logical criteria:\n", | |
"# sst_between_-10_5 = sst[(sst > -10) & (sst < 5)]\n", | |
"\n", | |
"sns.distplot(sst_masked)\n", | |
"print ds.sst[0]\n", | |
"plt.imshow(ds.sst[0,::-100,::100])" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"We can also very quickly render the raw data in a cartesian coordinate system using `imshow` from matplotlib. Note that we invert the second axis (latitude) since `imshow` defines its coordinate system from top-to-bottom." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.image.AxesImage at 0x1353bccd0>" | |
] | |
}, | |
"execution_count": 7, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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FhYoDLVEZ26HWLIWmhMPhQHt7O/bs2aM2v87OTnWtzs5Og8DuyRKyMPKIRCJwOp1wOBzo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\n49N1XSXJ0zWcTCYVAYSuaNneTQpxj8ejhLYstMBi51JoUdh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1qtfr+sUvfhHWPxWTMOIg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Pp4+noYGxs/mzafz0diX8RCmQtfF7S48masfL58fzAOrjT5Dv8wYiZjf/ueh4HsKMtfwyPbFhoF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ddpv22Wef9Hu0h7Zx40ZNTU1p/fr1Wr9+vSTpsssu08c+9jHl83ktXbpUV1xxhYrFos4++2yt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\nRgknU4fD4XA4RgknU4fD4XA4Ron/B1h8i+/KqnYOAAAAAElFTkSuQmCC\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x109087790>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"plt.imshow(ds.sst[0,::-1,...])" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"---\n", | |
"\n", | |
"A more sophisticated mapping system is provided by the `iris`/`cartopy` ecosystem. `iris` allows us to easily open structured climate data sets (of which this model output is an example), and automatically handles processing of metadata, such as timestamps and coordinate systems. It also has easy-to-use machinery for reprojecting, slicing through, or other basic manipulations of the data." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 8, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"import cartopy.crs as ccrs\n", | |
"\n", | |
"import iris\n", | |
"import iris.plot as iplt\n", | |
"import iris.quickplot as qplt" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"It's easy enough to load a dataset using `iris`; just open the raw netCDF file, and we'll have a list of *Cube*s for each variable in it, each containing information on the structure of the coordinate system." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 10, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"0: eastward_sea_water_velocity / (m/s) (time: 1; Layer: 1; latitude: 3298; longitude: 4500)\n", | |
"1: northward_sea_water_velocity / (m/s) (time: 1; Layer: 1; latitude: 3298; longitude: 4500)\n", | |
"2: sea_surface_salinity / (unknown) (time: 1; latitude: 3298; longitude: 4500)\n", | |
"3: sea_surface_temperature / (degC) (time: 1; latitude: 3298; longitude: 4500)\n", | |
"4: sea_water_potential_density / (unknown) (time: 1; Layer: 1; latitude: 3298; longitude: 4500)\n" | |
] | |
} | |
], | |
"source": [ | |
"cubes = iris.load(fn)\n", | |
"print cubes" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"We can extract a single variable (*Cube*) from the cube list using indexing notation, or the `extract` function. Printing the cube tells us all the metadata we need to know about it." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 11, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"sea_surface_temperature / (degC) (time: 1; latitude: 3298; longitude: 4500)\n", | |
" Dimension coordinates:\n", | |
" time x - -\n", | |
" latitude - x -\n", | |
" point_spacing='even'\n", | |
" longitude - - x\n", | |
" point_spacing='even'\n", | |
" Auxiliary coordinates:\n", | |
" date x - -\n", | |
" latitude - x x\n", | |
" longitude - x x\n", | |
" modulo='360 degrees'\n", | |
" Attributes:\n", | |
" Conventions: CF-1.0\n", | |
" experiment: 90.9\n", | |
" history: archv2ncdf2d\n", | |
" institution: National Centers for Environmental Prediction\n", | |
" source: HYCOM archive file\n", | |
" title: HYCOM ATLb2.00\n" | |
] | |
} | |
], | |
"source": [ | |
"#sst_c = cubes[3]\n", | |
"sst_c = cubes.extract(\"sea_surface_temperature\", strict=True)\n", | |
"print sst_c" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Generally speaking, the plotting machinery of `matplotlib` or `cartopy` can't handle 2D coordinate systems very well. So we'll try to re-project the data into a standard system. There are caveats here:\n", | |
"\n", | |
"1. The `project` function used below is not fancy; it applies a nearest-neighbor algorithm, so it does not conserve anything about the data. Ideally, you'd want to use something like a bilinear interpolation method to migrate data to the new coordinate system.\n", | |
"\n", | |
"2. This particular dataset is weird; the \"raw\" x-y coordinate system do not have names in the original netCDF file, but `iris` tags them as redundant latitude-longitude coordinates. It still retains the true 2D grid as Auxiliary coords, so we can just delete the mis-named coordinates without harming ourselves too much.\n", | |
"\n", | |
"3. The projection method is kind of slow, so we slice through a subset of the data as an example.\n", | |
"\n", | |
"4. We use a Plate Carree projection, but any one could do." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 13, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"sea_surface_temperature / (degC) (projection_y_coordinate: 330; projection_x_coordinate: 450)\n", | |
" Dimension coordinates:\n", | |
" projection_y_coordinate x -\n", | |
" projection_x_coordinate - x\n", | |
" Auxiliary coordinates:\n", | |
" latitude x x\n", | |
" longitude x x\n", | |
" Scalar coordinates:\n", | |
" date: 20150701.0417\n", | |
" time: 2015-07-01 01:00:00\n", | |
" Attributes:\n", | |
" Conventions: CF-1.0\n", | |
" experiment: 90.9\n", | |
" history: archv2ncdf2d\n", | |
" institution: National Centers for Environmental Prediction\n", | |
" source: HYCOM archive file\n", | |
" title: HYCOM ATLb2.00\n" | |
] | |
} | |
], | |
"source": [ | |
"import iris.analysis.cartography as iac\n", | |
"sst_d = sst_c[0, ::10, ::10]\n", | |
"\n", | |
"sst_d.remove_coord(sst_d.coord(var_name='Y'))\n", | |
"sst_d.remove_coord(sst_d.coord(var_name='X'))\n", | |
"\n", | |
"new_sst, extent = iac.project(sst_d, ccrs.PlateCarree())\n", | |
"\n", | |
"print new_sst" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"We can now easily plot the dataset using `iris`' interface to `matplotlib`, as a proof of concept:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 15, | |
"metadata": { | |
"collapsed": false, | |
"scrolled": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.collections.QuadMesh at 0x10d47ded0>" | |
] | |
}, | |
"execution_count": 15, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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tMvZa2c+ZMwcvvfSS3OOee+457nGbTBkeHpbFyJwu51i5XBYFXS6XkUwmm+YU\nTdIJnUfOUW0AzSYEOlLXaA1F1+LpaMGs9aQxNslthx56aNPnfuGFF+SetFKjaPQDaORETYeVSllH\ni7wHzuNoNGpDrHi+crmMjo4OiSJrtRo6OjqEhezz+RAKhSQi37hxoy2Xr0XrBkfevohad5wyRRtX\ndj7S+kITyDQxTjuNev4z0tQ15QzcWmEzt8ySzWQy2G+//QCM7E+qsW0qA13w3mzRHnjggRO9nXHL\nli1b0N/fj0gkYose9YDy2UYT5lg0vLjnnnvavFj90niNseZGBgYGZHG7XC4ZYxpGt9u9zTrGZDIp\nXhuVZrNm3UD9HVKB6ZyCmffZmjAHGggEbJ2B+AxU+NoA0AGhU1AoFODz+ZBKpSQK2BEGM5PJSGmB\njsR0ZEZjxAiTpAU6X3xOGj92c9FLz2T4jfYZlYf+34RcgeZ10O973/taG4z/k5deeqkpWUmLvidN\nDGLpgUZuqOhMxwposLq9Xi9isZiN/3DYYYfJcStXrhQFymvT8dbHAcCaNWsAAHvvvXerQ+HIDhIy\nvOmcjRUp++Mf/4je3t4dx5IlnKSL7nXiVUc/9Mir1Sqy2awNqjniiCNavZVxS29vL3p7e/Hyyy8D\nAA455JBxn6MZpAOMNIhmD08aVBoGndOxLAudnZ0jzkkmnG7wPhbWV0dHh8CkgUBA4M9mMHE0GkU6\nnbbBgs1gDP3d0fICWqlq5aiNhS4lyOVyUtOpzxGLxSb0bsYifX19QrLQsJ428EQa9N80zGOWOJDh\nR0amNnA8jg4CYI/AaGB1JAiM3hTBhFM1o5Uy2QzP9773vSP+9vLLL0v+2mxMwGfS79bv9wuiUS6X\nEQqFUCqVxPHk2KZSKUQikRGMYnPOzZ8/X35+4YUXxpSrevXVV3HAAQeM9/EdmQLCaNXUq9sSs5f2\neKXlCBOAWOt//OMfABrUeK/Xa2PJmbVlsVhMzsWF8v73v3+it7NTSDweF+fBsurdQcLh8AjWbTOD\nGY/HxYARwgPG3ymHUSSVio4YM5nMiFwWYO/CxOtTtqWcUqmUXINwmO4Eo7uyUNGnUqntGgEkk0nU\najWkUqkRBlMvCY4BFT274KTTaRl3nTthLp45eBpDRjuc53x3Gq7VhlNH34A9YjNZ04DdOfH7/TZF\n8oEPfGCSRm3s8vrrr8s8YjRQKBTQ1dUl5UcDAwNy/Nu97l999VUAcAzmO0xMmzVemVSGxf777z/q\nZ6+//rrHSlpkAAAgAElEQVS0catWq7b97SqViiiS2267Deeee+5k3taUklZo6pNFcd+WgTUp5Yx2\nmA+1LEve19ZymxSds2Xu2u/3Sxs/oFH6wuh3sogX5t6gJO0QGg6Hw+K4APaewQMDAzbmHo+hMSJb\nWRNrtOEicsDoiEQy7YhoiFEbTp3v10KDSoeL0DaJYHRSt7eRfPHFFwE0yHqm4SERx7Ism2P8oQ99\nCABw9913AwBOP/307Xqfo4ljKB2ZiLRsMFeuXInh4WFUq1VZPCZks3r1arjdbmllBTSUj665u+22\n21q9HUfGIYTEGK0SUqPotmVmV49tGcpkMimGl4xYsj39fr8YSDaG1x1EOEfefPNNAMC+++47oecz\n9x7k8wL21oJsC0cDFI/HR/QiBeylL/zM9FTfeOMNeWZdUqFFM5xJcNF1jjp61GUfZvSr+5jSCWkG\ns29NHnnkEXGgNm7ciNNOO21c36e8+OKLCAaDAgf7fD5p2tDb2zsij7ijDKUjjrQik1JWYiqF559/\nHkCdZLBhwwYAdaXMvqXpdNrWtPqJJ54A0Oj28uijj2LhwoWt3pojW5Fm/VszmYytYwtLZoDxU+3N\nUhu2MyMEC8DWwYjsaMK+ZinCeCWRSIiBY4qABqdQKGB4eFiMSzAYRCqVkmYBmsnNZ6GBbJa/00KS\n2FtvvWWrX9OGlhGkhmMBe02zznECjaYZJBtxvHR0zGsce+yxYxqj5557zvb7eLotHXbYYXjqqaeQ\nTqfR3t4uEXUulxNnSucVHXFkR8kdd9whP/v9/hHO23ikZYOpd4Fn3obK9fXXX0c4HIbf77cRT0jw\nAOqspWZyyy234IILLmj19hz5PyGRJ51ON6XUky2sqdiadJJOp23MS13u0IyWrgv5M5mMrV5X078J\nV6ZSKQQCAYEUec6JQLNDQ0O2hvpsBcdoOZFISDlHrVaTyNcsmmaUyOitWq3i2WeflescddRRAOqE\nFxpV3SqP9WUc82g0aitJIoRK1ixF7yZDx4HN/Bmh6x03eL9jNZQA8Pjjj6OjowMzZsxAd3f3iOb9\n4xE+87JlywA04M6JIgOOODJVpWWD6fV6MW3aNGHJ6lZZmuxAJQVAmHSxWAyZTEaUBXNDOufhSOti\nQpM0Fj6fD5lMZgTTTBN8dGcas4yBsq3aUo/HA5/PZ9t+inWubFQBwNZCjnWvQINRPJYc7po1a2yE\nqGAwiGQyKblGXUfIVlnaUPIZNeOVdYAmuemll16S+wUadYWsFcxms7aCfLPxhY4SdVRNsgxha36P\n+VCy0gHg4x//+DbHxJRHHnnEhgAMDw+L8R+PMB9JOfroo8d9Dkcc2d7y+c9/HkDdSSTiOVFp2WB2\ndnYiEAgIKYTwVzPFmkwmMW3aNFsbMB533HHHtXorjhhCdqLf70cqlZJ+rqFQaMS70QqbPRl1sb3Z\nvUYzaQHY8tM6EqWRMfdq1HWMus5RQ5Fm7m9oaGirxc8U3UKOvW+1wQHs3Z90txpd1qHLIWhMm9U3\nMs1gznmdlyV0qhtz6OfXY6n/5/V1/1k9ruORhx56SCJ/biZeLpfxqU99atzncsSRt0seeOABABjX\nPCULmmVdHo8HPT09O77TD3szcnFrxp5WqpZloaenRx5gYGAAa9euBQCcccYZrd6GI4Zs2rQJPp8P\n8XhcuumwuTVhULJfI5GITXnrRsZU+qM1bCcLlf0bNYzL6+huLjpKIvxKI6QNST6fF1JQoVCQMpZ4\nPD5qpLl58+amsC/vhQ4DjTJzgVpoyGm0CO2auUbdOIA/89m1MdPdbPg5o129IbHeegmAlA/xPpn/\n5xgdf/zxo736UYWOA7eK0s01HHFkR8mtt94KoM5iZ/77xBNPxOuvv45KpTImJ1kLiXfNZLx1m6ZM\nyvZeAGwEC6BRT2du7aO372Gt4b333ovPfvazE7r+Qw89JKUCZ511FgBg+fLlogxKpZIM0jvFMG/c\nuBEulwvxeFyiF/bf1Ptk0jDo6IpQHUkv2yp6b29vl/yoJrTo3ry6kwsNCK9rWZY0BdC1mCw7Gh4e\nFkNPw8p363a7JdfJ/Djzjrq8Q9eUcr6yzaFp3DSDlfeid+LhfWrjz+N1yzct/A6dRZPNau4DqQ00\nv8d15Ha7JwTDAvZdJDwez6gt0Z566ikADcVz3nnnTeh6jjgymtx11102voQpDKaAev9fswzolVde\nEefxve99r5Qt6vVNVjw7S/n9/pZbIrZsMIvFom0rHaDRAoubCvOm6d1XKhWJWNh099FHH8Xq1asB\nAF/60pfGdO0//OEPAOqw8EknnYSHH37YFt2a8NkDDzxg2wmCBnZXkjVr1sDj8SCfz8Pj8SAcDosi\n59/ZB5VMWMC+9yKZz7r129aEZQnsBas3JNYdaPQ9sHdsM1iSDlYmkxGD6nK5xLDq7Y9yuZyQfPSu\nH4x29d6RdADoBDB9QCiYNcK8Z5ZG8JwcG10zqWHqZiUdum5SPxfHVEe7RGtMw6m342pFPvKRjwCo\n53Li8bhEuA8//LA4KJVKpWnTDEcc2R4SDocRDofR0dEhSFh3dzc2b94MoN7Q4uWXX8af//xndHV1\nCbFUpz5efPFFRKNRG8nPsiwhDNLumI7sRGRSykp4o1rZsm+s3liUtHmdv2omTz75JD784Q/jRz/6\nEQDg/PPPH3HMPffcg9mzZ0vD69/+9re2z6lsvF4vIpGIRA9abrvtNvlbsVjEF7/4xYkPxBQSRmCE\n/oLBoLA4qZQJzQKNVmNU1oB9VwBdY7stoWHT0GQ4HEYqlRLjR5hVt5gzO/3o98X5wnPGYjFpE6jh\nWW7urOeWRjw0GU1Hcbp9nd6GjkaO3+F96RIRXUOp0w9mKz2zc5K5OwlzyLo9otmInfD40qVLsXjx\nYgDAY489hkQiIUzVf/7nfx713dxyyy3Yc889t4kaUFlFIpEJIz+OvDPkqaeeQrlcRmdnp6wFVkok\nEgnE43HR0TNnzpS1OX36dJnP3DaQTS44/0466SQ888wzTWu+uX4zmQyi0aitcxjQaJzBtUfnuFWj\nOSmdfrj4mTOj4olGo1LbpnfQpnElU5E5tGnTpkkEeM8998j5WXry//7f/wNQr9ucPn26nJfKlxEF\nlQ0ZiFSWrBPT/TnJaATq0DDvD9g5IVzdTu7ZZ5+VsaBxIrzJiWTm8Oi96VzjWAkmwWAQsVgM4XBY\njLbe15AdcfjuWVLBya0bJXCCMwriItRQaC6XE5ZruVxGIBBoyvDl+2a+VEPApsHTzFXNSNVGkPfI\ncTXb2On5xXvhfWlnkfeXz+el5IR1oCbJSl/f6/Xi4YcfxoknnjjmefG9730PgUBA2tEx6q1W61vp\neTwexOPxps6pI46Y8txzzwm8yXI0oL4GfD6fIIxMm5jQ67x586Tuu7OzE1u2bJFo09wkIJvNore3\nV3L5XAeRSASdnZ0oFAqypzKNIwDZe5epQr3hw0SlZYNJ6IoLmmFwuVxGKpWSG9WQks5HaeXC5uz0\nlmfPnm1T6L/4xS8A2AkofEEs9ja7ovAzXisUCkndWzgcHlEDtytKOp1GIBCAy+WSSFE3DwcahlL/\nTUfkdDRGI/9QtDephbDt8PCw5ON4Pb4D5upIbvF6vdJOUSMTOnLT8Dv/106SjuR06zn9fZ7f6/VK\nDaQ2XrrWsRn7W7PCTRRF7/iij6dT8qEPfQiPPfaYwEhmtAo09oCkUiLc/MgjjyAWi9kant95553I\n5/P4whe+MOLdaKZyNBqV3Cv3TnXEka3J6tWrEQgEsGXLFvlbZ2enpFg413V3MO5YxDWiI0M6xoVC\nQdIs73rXu2zX9Pv96OnpgcfjER6GXoMkDwKwkRV5Dz6fz7ZFYzOW+3ik5ebrq1evxpw5c2z78HFh\nclcG3iTzatrzpwfP2jnmRDOZjITi6XQakUhEHlznlAi3ZjIZtLW1yXd4XsKJHGwqnWKxKFEN70cz\nPvfcc09RIrtKrjORSKBardr2HNRwLCeihktNw7Mtg7ktWbdunewdytxhW1ub1IqyZpGLT0PF2sjT\nQaPx0KLLYPgMOg+qj9GGiX8no5bXLRaLKJVKtl14dCs7ikmgMstFKPSAzTpGdrzSTQrMnUfIYtZs\nQqCeXgiFQrZNybkms9ks/H6/5Cg5vgBw9tlnj/XVOfIOltdee026tcViMVugoTkKumZY6wrNBGfq\njnZitMb7q1evtp2P/AOu62KxaCtR1HpME+UKhYIEVhs3bsQ+++wzNZqv88EYxTCHqBc/d5rn54w8\nCQ91d3cjGAwiGAyir69PCAhaWZpbUFWrVXR0dEhyV2PWfr8fuVzOtlMK6z9JVGLrMtaTMsfG9nG7\niphkjv7+fnR3d0uNH/9vb29HuVzG0NAQAoGAwCnj3RWlmey5557YtGmTtMFj/oH51UQigWAwCMuy\npAOP3h1F1+5yTtGA8ZysW6ToiBNoQKea/crzcgzMnKWeq+yFy7mnCVKcS5poBTSYsECjM86vf/1r\nG+P12GOPFeIa1wMNu+4bGwgERpSEcA/SZh50e3s7CoUCcrmcPCNTH9dddx0uvfTS8b9IR94R8sYb\nb8i6L5fL0r2K8zIQCEiHrkqlYkMxtLOnu1uxqcdYor1wOGwzinqNM2KsVquyGxK3CKSeb2trQ0dH\nh6RiWuloBUxiL1md+wJgC4uBulfNXAmVHTFphuVAPcpjXotiGmEqUirJUCgkAxkKhYR9GQqFkMvl\nhPDCe9FGHIAtGuFLqdVq6OnpQaFQwJIlS+SFbI1UsbMJ+8gy90jlzwizo6NDxmwyjCVl1qxZWLt2\nLdxut5QERSIRaYLOyc33B9j3dDQhUqDROYit5/g33ee4GRRrkno0vEOYX8PH2kDTizVzpYRiuZh5\nzzRWQGMHl9/+9rfSYOKzn/0sfD6fNEEwdzfhuiFUDAA33ngjvvSlL42IYnkeOoW6pMTlciGbzdo2\nEXfEEVP+/ve/y7ojyjQ4OGibR9SjbB+p16x2Pjl3dVoBsG+IQHnuuecEIeFaY6RJ55F2R7PWNd+B\nOVR+h9Dt1jqSjUUmJcLUNWYszuYgUjnpfCE9BBonEoM4uDSqjHTC4TByuZzseMHcViQSkeiHkaTP\n5xN4lzlRRgiarUiIgOUVmqVJYxwMBhEIBJDL5VCpVHZpQgRzj/39/bJIcrkcenp6tsv15s6dKz+v\nXLlS3o1mk9JrLZfLsk+nRhq4WbkmFPAYtrRjWzvWPwINuJ4LEbDnFQHIYmR0SmNOuBSA5Fk1mYD5\nfE0GqlQqOOmkk2zPf88990ikqoUR59KlS+X+uEaoQKgAGKkCwEUXXYQbbrgBpVIJX/7ylwEAP/7x\njyWSvPDCCyf8rhx5Z8p73vMe+bm/vx9AHaVqb29HMpm0dRLjWmVKgAZWGziuL20stxZlajY6CYt6\njdLG0PmlHidBUOcuS6WSre/5RKVlg2m2MiMDUsOl5XJZvGbdm5M3bxouRnPMcQUCAVEOkUgEHo8H\nmUwGPp8PxWJRBp1QHgBbJKBfCr0jRlE0nJpyTIUcDAYRj8dFud97771IpVJNCRW7isycORObNm2S\ncXrllVdw4IEHbtdrzp8/X2pwTY9UR06VSkW24TIhHhpSLlASznRTAc2g1XR3oNGmjnlOnpvf5Zzm\nOTSF3ox4GdkS5i2VSrjzzjtx5pln2p6bjNzh4eERYxIMBuU+iM7o5h+8lhYaSsquhIY4MjVkzpw5\nAOqEzNtvvx1APQdJ5EQjOvpnzfwmlGqy71euXCnrlREh1xY7VOnt8Dwej0SetCusvKBhZpDWjOsw\nEWmZ9NPX14e99957BBuR8BQ9dQDYsmWLUICpdEjl11EnI0Oeg5g0AFs0oan/jER4Hu2FkEykSRjc\nhYIKiMqWBp/GGqhHMqbHsisro9WrV4tTAmC7G0wtGzdulPcAwGYUgbpXyvnj8XjE6WI05vV60dXV\nJfOCi0XnMTW0ynlISJ/RpKaiJxIJMZq8J3q6uuxGt/kD7AzwU089Vf5+1113ieIAgFNOOaXpWNxy\nyy0CIeloclfeYN2RnU+WL1+OYDBo09na8SU0SxSSNoHQ7ZFHHgmgbjDpYJK3QNtAJImcEzqwQIP9\nncvlhNBIxzabzcrajkQiWLVq1Y4l/WjPHGiQG9g0mhRiCllOmsqvDRYTySSB8Dz6fISAy+UyZs2a\nhVQqhVgsNqL4Xp9XQ3wkU/C+aUD5OyMHXjeZTMrvVHKPPPIITjjhhFaHb0rK4OAgZsyYgWAwiH32\n2We7XmvFihUAgCOOOALPP/88dtttNxsr1Cxz4btlmYXu4FMsFm3QPxeVNnCFQkHqxFhyxEiyWCyK\n90vniiQCOnL0XjWTVTc70BGoJhrdeuutco2Ojg5pKrE1SaVSci8A8K//+q+TN/COONKCPPbYY9Jg\nYP78+dJIhGtBR3dcDzoXT8YtUHfQufbotNI55feBBjudx1Cfs/QsGAza0iQsawkEAsJ7GWsDltGk\nZYPJSI1U9WKxCJ/PJ0XmGr+ORqOyzRGhNU31B2AbEA6wztswIqQC7OvrQzabhc/nQ2dnp0SGjEII\nFeh6OEarGtbTeSi+OG5y3d3dbTvnrFmzWh22KS30+La3cHssLTQSNFw0Osw/skyoVCoJYkEyGXPc\n8Xgcfr8fvb29Mtc0m7VcLktZERdSZ2enzDFd4kJFwEYJuneyzn/qDiNmaQk9YKYBEomEjXBz1113\nyabqjFgrlYowiB1D6chUlkMPPRSvvvqq8FC4BtiMI5/Pi4NK3U2yJoUEHXJWdJceit5gniimz+eT\nqgYaTp0uoX2isxyPx1vS3y0bTEZuwWAQmUxGcGcaOYbRzBEyzNYGjJ8z3KZ3rnOjVJ4cSGLWQKNc\ngobOzEHxHMynMorksZrd6Ha7pdAfqO/BSE+KL3Dz5s3w+Xz4yU9+ssvUaE6mLF++XHLSOiGvC4cZ\neWn2K3N6JBHoZv4AhLGqcyGcf/39/Ugmk5g+fbqNLc2F5PF48NZbbyEQCEgHKhpZFlEnEgn4/X7J\nG+qSEx1B8t7p4WoGNvOWGgbW/wONZtA8fjQx9zF1xJGpII8++qgtRQFA6qmpx1lD7Xa7bc1iiPro\nVqrUxRrB4ZqhnifyyNp+jTyVSiVEo1FJ9xF10pwZ3kurdeQtG0xdUxkKhaREgUwloEHA0caUfwca\n/WgBSOs0npPnBRp7NnJ7IsJw9Ci4GbWG4EjlZ4mAzmlms1k5VvfEZWE9awF14tpkZTp1bHZ5+eWX\n5edisYhAICAwiMfjEaKWfsfvfe97AUD+B+qUdp1XBoBAICDftSwLM2fORCwWk8iyWCxixowZWLVq\nFbZs2SKdotauXYtKpYLZs2cjlUohkUjA5/Mhm80KMpJMJgXO5Zxh60Vek83YdW9bnaMB7I0PuHBZ\nOK3nJGFkt9uNZDIpETQjZgC44oortvPbcsSR8UskEkE2m0V3dzeOP/54PPXUU+js7JQ5bPJTvF4v\nwuGw6F7NEWFrRn5Pl50QoaHeZVqEwnSFTtXp4ItVGFpft1pKNSn7YZIUQwYTFSMVgo4U9e4YGpOm\nIqEh1B14CLnSUNLIaWar/p8Rjabs6zo7hue6qYGuyyN0RkhWQ8TEzrPZrLzo6667DjNmzACw63QF\nmoi8+OKLktD3eDzSE5LbRbW3t9t6qW5tBw7CsCZEz4UUDodRLBYRjUaRyWSw995744033sDKlSvR\n1dUlhopOm9frlVw6HSe/32+DfVmyxP81RKodPUa/jIYBe0N3PiPRC80k1zXAvAa3oCOByTGUjkxV\n+dOf/iQGCqj3qwbqXcSI3HDd6HpN/k8IlfpdN5phgKSRQc1JJczKdU+jzEoJrmOtq0nWZF5ztO3E\nxiotG0zeBD0Fv9+PSCQixozGTW/ES/IMm1yz3VcgEBjBXmTYXqlUkEwmxTOhEqXHwMHW0CvQ2CeR\ncGs2mxVD2tbWJnCBFhJDANiUHzF4QmW6o0w4HH7H71x/2GGHNf07u3ro3qWRSETG/vnnn5f3w/O0\nt7dLNAeMZErzfWSzWXR0dOC1115DMplEW1sbstms7JbAUqOuri6k02lb554ZM2ZIeRJ3UYnH4+IF\n03ACEMiWi1+3ewQauUtGpxTd7pF5ezbAT6VStpKUSqWCb3zjG5P9WhxxZFJk+fLlAOpMdUKb+Xwe\nvb29khrJ5XKC0jC3SJiVwRPbmHLdaQhWd7TSzWU0WslIlDAr9T7/plN+urkIo9RWZFIMJkNj5it1\nTpAPofOaOs8INKJDeuJa+Wj2LAeAYpJ1tFfCfTYZ7WgYmApK97bVCWt6OzoXqvNUmojU2dlpq+dz\nZKRks1mEw2EMDw9jr732EsKM7rSj5a9//SsAyO4jXHCaWUokwOfzIZVKobe3F6lUCqlUCuFwWCDP\nRCJhy1Pyuh6PB/39/ejo6BBEQW9BRqiUUaBGIuioMf+iqfQ6L8P5w3wKc/z6mU2k5Gtf+xquueaa\n7f1Kxi0kHk2fPh0A8PWvf30H3o0jb7csW7ZMnFBN1KTh9Pl8yGQyto48usyKdoHOKiFUvX40yUfv\nDGTWXgIY0WlLcwlI/NEVGXTWW6iirD9HS99GPRpLpVJiaHROkyGy3sJJtzLSUSgHh3Ap0NiTkYPE\nB2eEqQ0r2VAMv6mk+B2TtMHfSUPWO3FrA66VujagGkpolaq8q8upp56KpUuXwuv1YuPGjWI0Se4h\nWUuXJAF1Q8sFRIPFRVCr1bBu3Tr525o1a5BIJDA8PCxox6xZs6Q0hOdirRgXr25aQeKaXlTsQkXR\nnqsmMfB8jEi5rRChWx5Lo0tyG3Py3OqoVTnllFNkzO67776WzwfUG7Szs5Yj7zxhZMm9J1OpFFwu\nF7q7u1Gr1VuVZjIZMVKEQYngscKA+pSf6wCJMCwb3ACN1pYAbK0yNXeF59CdhIBGdx9NGjLRn4nI\npLBkdQ6SLey4gzsNaKFQkJ1FAIhh1IWpNGaEPmlotfHTCWVGhoR5i8WiGE6g0b9TY+NmPopQn/Zi\neD0aVQ2b6ci3VqshHo/LS1i4cGGrw7nLyPLly2XiL1iwAD09PbboXcP0TOZruJ2faUJWPp8XVIC7\nddRqNWzcuFGgWEZwM2fOFONnko3Y8IDzD4A0fmdu0+ymQ6NKFi2jSD03NQLC+UJnix1IeM8AbAaV\n55lMOfXUU1s2mmeddZY4vW1tbdhtt90AANdffz2Gh4exYcMGYTAC9V1THNl15OmnnxbSTqFQwMDA\ngCA7sVgM8+bNE1iVuUmyUln+Rd1LJ5MOqN53Vpdp6WALgDSmYVc2nk9v3UUdzAYFXN+hUEj0idbj\nE5VJgWRpPMgG1IZGh+BkHjI8Nzs1aONGparzlboIVjOqyIbS7EPd+Ffj4ZrNqPcpZCMEKkt6I7pz\nC40lFTjZXq029N0VZNmyZWL4wuGwrRzk+eeftx1LuFJPdr2gWF6iIRT9HvhZLBZDsVhEd3c3/vrX\nv6K7u1t25CgUCnJesms1407XO2pUg3VjzJtrNiydKhZZ00HUZVO6/Ik/+/1+zJo1C4lEQgw/UwxA\nQyE0g6dHkxNPPBFer1e2pKtWq/IOQqHQiGYHP/jBD8b1PrXQwSwUCli7di322muvUY899dRTUa1W\nsXTp0glfz5GpIcuWLZPNGDye+gbjqVRK6h2Bxo5H1K3Van37wGg0atsVR9dHMoWnUT/qbepXTY7j\nWslkMjaOC9cp9TKRKm4PSSSHRD7dOnWiMimQLMkZGmalMuLCJYypSzTotbDwXFOHaSD9fj8ymYxE\nBfxeNpuVc3PQdBcf4uc6P8nEMK/PjU/ZlYKDSYNpGlmdSyMUS+XuSF04sRmJEUahM6XZcMViEfF4\nXKIvy7Iwbdo0WRDDw8Oyl6nf74fP58PmzZvx2muvYXh4GPvttx9Wr14Nr9crbFm23CLqQWPI90/R\neUmeH2iQeHTOlMafhq5WqwlxQTtyjDJ1GoHPViqVEAqF8G//9m9yD5dffjmKxSLa29sRCoVsG/Oa\ncuaZZwppjc/BtaPTCT//+c8BACeffLJE4UDdcI7XaJ577rniOFDJVatVrFq1SjYOJvM5n89L0wkA\nuPjiiwEA3/ve98Z1TUd2vPzqV79CrVbfaziVSgkKQo5HLBYDAHzxi1+0fe+Pf/wj2tvbhTAZj8fF\nJjDAoF4tFAoCs3Z3dyMWiyEej6Orq0ty/dpJ1s0IqJfZjJ37vRKCTSQSUrkBQDZu0Ez0icqktMbT\npAddb8bB4vZdugtEtVpFOp22MVsZEfJ3Kj/NhgUg5QE8Vm9SzXtiOzNd7E7lBjQaxfNn09Bq+E4/\np44adMehd/JuELfddpstPzdz5kyBQQmBEFUYGBiA2+3Gpk2b0N7eDr/fj8HBQaTTaRx44IHIZDII\nhULyWSqVwvTp01GpVLBp0ya8/PLL4lC9/vrrCIVCsCxLdj7QZUv6HRFSJMHHdPCIfHBxu92NvVX1\nsXwOlotoIhAjUOZV+fdisSiwq5Zrr712wmNOaCoSicgYf/KTn0SlUsHDDz8sLERdWsOSJ5fLhTvu\nuGNM1+EzsJSG6zeZTAoKQ8dVs6Ap5557rgPTTnG59dZbsccee0jKhJLNZuVvrA6gwdlnn33w+OOP\nA6jvdEQjV6lU8Je//AVz5861QaAs0dNpk3A4jEwmI1v8EVHUqTymZYAGwZRBil6DRI/y+TwikQji\n8TgCgQCSyaRElpPBEZiU1njcaogKw/Tqw+EwPB4PEomEePbEuOm5stM88yVUSgzViW8z/NZMLbO7\nA9Coi2PEwL6weo9BEjUACCNSkzLMNme6Uw0AqQ0FgO9+97v493//91aHc6eSr371q3C56l11mDNk\nrpDvacWKFVJWEg6HMTQ0JO/f6/UinU5LVLl+/Xps3rwZ7e3tku/mbh6RSAQHHHAA9t57b7z55psA\n6g4at3TTeW9GfjpHCdg79nB+xGIxcXrYu1jnPTmvWfbEucrvlMuNjcfZXYhtvlKplBjM8cCtWrjd\nlxYRhacAACAASURBVN67lM/JCFIrKwD4xCc+AQCym8Q555wj83c8SoPoCqNmwtZ33nmnHHPeeecB\naLQs5BrOZDICFzsy9eXvf/87Zs6ciVqtJj1h3W434vG46MtSqSQldaVSCeFwGKVSCX19fYjH42Ls\nGKTsvvvutnrLwcFBlMtlJJNJHHDAAVi9ejUymQx6e3uFZZvJZEQfaKKoXrskDjFyZDTJgGzNmjXw\ner1iLIlgajb6RKVlgzk8PCwQJbHijo4O8ewrlcaelG63G0NDQ+Kl80HJbiX7CmjQhjUjyqQq8zgd\n9uuB1fAvc2ZUdiyK5991BMEcmX5huoaO+xNSQerm8u8EOeecc6SOkpLJZBAMBgUuD4VCaGtrQ2dn\nJzZv3iwGk7kNErUASI0iW9NVKhX09fWJhwg0mq2vWLEC3d3dsgi5XyQb9hOCJ3xulj3pXAsbTwCw\nRZV0ruikMZojbE+DCkAMBNm7LIVhf2Uu9vEazPe///0yhgAQi8XQ3t6OarWKfD5vI08QVqYi4Xv5\nxCc+gWAwiHvuuQfnnHOOMMIB4IILLsAtt9wCAFi8eDGSyaQ0hQeAn/70p/jxj38MAPjMZz4jKYj/\n/d//td3nf//3fwOoG046mEQWurq68MMf/nBcz+1I6/Iv//IvMje2hiRcffXVeP/734+hoSFEo1FZ\na5y/nZ2d0oBmcHBQOAMAcNJJJ+Huu++WDTD6+/sl/9/W1ibOXE9PD/785z9jt912w9DQkPQZf+21\n11AqlTB79mxx5vL5PIrFIgYHB9HR0SGG0+fzCbzr9dY3Q+/v7xcdpCszeL9ap4dCIflZ7/ozEWnZ\nYFarVcRiMck1uVwu8UK6urrEMAKNXq+MCOkFkJhhFrHSkLpcLmmgzQiWA6INJtAo/aAxJANXE5DY\nHcLn8yGZTIqCZY6Iyo35UkYTVMKBQAAdHR3C2opGo60O404nfM+VSgX/+Mc/bNDdoYceik2bNmHD\nhg0yNsViERs2bADQ6PJEYxcOh7HHHnsgmUxKU2bCMkQZarUafve738HlcmHLli0S0REWZP6Qzhjn\nim6VRdiWTQlotHkcWytyfmrCGhe17jxEBh7nMh214eHhER2idJ5xW/LRj34UQJ25m8/nMW3aNKRS\nKTGUNIjVahW//vWvceyxx8q64FrzeDzSY3nhwoXo6uoCUK+bGy3K9Hg8mD9//oi///SnP93mPdNw\nOrJj5cwzz0QoFJL5dt5556FYLMpcuPHGGwHU0aFAIIC//OUvKJfLGBgYQFtbGzo6OqR5R7VaxR57\n7IG1a9cimUzaOmUB9WYtlmUhlUohGAxi48aN2G233RCPx5HNZnHggQfi6aefRnt7O4aGhsTJKxQK\nmDNnDsrlMoaGhhAMBke0nCRpj/aBDiFtRSwWE2QzEAjIBtc0ltFoFNlsFj09PSgUCkin0xgeHm45\nuGnZYNIIEv5KJBLiFXR0dEiLOn0M4dpisYh0Oi3eTTgcFkYjG+myCJ3ePet+AEiuUTNnNQmDrcuS\nyaREFzpnxUlFw0s4jx1omPOikmUTBHrQNJ7vpCbZZ599tijyUCgksMfw8LBA8itXrgTQ6AfJkg3m\no9vb24Xw1dbWhmg0io0bN9q249KELDpTuqGyZVlSW8n3oaEXvkfmqjXjTkP3JJlpViujSE3qYR6Q\nc0s3KdDn4X3yOH4/nU6Pi3TDnUrYEYjGmOQG/n788cfLuNMxYJQci8Vs98f3wL996lOfwgMPPICl\nS5fi1FNPRWdnJ15//fVJmCWOvN1y+umn2/ZrBeoGbWu6qVqtyrrluujp6UFfX5+UjvzhD39AIBBA\nLpcTeJMSj8fR19cnzmpXV5fA8IlEAs8//7zMNa6/eDwu6BC3TdywYQOmT58uiCARRa/Xi3g8LqWH\nDKb6+/ulvlMz4svlMqZNmwa32y1rhoY2mUwiGo023ax9PDKxxIqSdDotLeto8emdZDIZpNNpyeG4\nXC4MDAxI1ElIllFGLpeTxDLZgCwNYGTK6E9vJ8aBpsLiAJL0oxWfPk4Xi/P+aDh1gTqfjROyVCoh\nl8uJ4urs7ERnZyf+9Kc/tTqcU1YWLFiABQsWAGhANoODg0gmk/JOmPcgs5TRH8fL7/ejvb0diUQC\nhUIBwWAQ7e3tcLvrfWPZyEA3s9DIACNIva0W3w3fI501t9uNfD4vc4oLhwvLbGih55JGK2hcNQtb\nkxD4Px05XcNLRy4UCiEUCglzdFvCyJWbADCyJVJCQpMuZyLUxVwuGeGVSgWdnZ227lSWZY3wtLm+\nSFByZOcU5uF7e3sB1OdSV1cXOjo60NHRIcd961vfEpiTOrNareLVV1+VObBu3TqZTzyura0N3//+\n93HDDTdIVEdjFo/HZeONSCQizUkGBwfR39+PfD4vKZu///3vWLNmDTZv3oxoNCpM3HQ6DZ/Ph1wu\nh0QiIXMym82KbQiFQsLcJhmJDjZ5MWThJpNJQa7WrVvXcoTpslooTFm1ahXuuOMO9PT0SKis24lZ\nliWMORpTDW96vV7k83l0dnaKEaOhY+QKNDwOehiM6phLorfPyJQkDHaWABqhOs9HsgijD0YqjCIB\nSOTCe2XD7/b2dgSDQcnbBgIBKehesWIFEokErr766om/lSkoNJb77bcfgHrOcvPmzejs7JTdP6LR\nqMCdzAMzeU/CiWZNd3Z2yl6T9CLpfTKXRoiWf6MRogEh/E5DAEA+4/yiQeM5udA045Xf0166/h4V\nkT4/c+F0IHhvnE+8LxIhAEgtGwA8+OCDtjH+zGc+I/ti6tpOLURnyErWBd9AY7s0etJkGGvCmtkH\nl+tp2rRpYix5jw8//DAA4KijjgLQaLbtyNSU0047DaFQCB6PR9aZ1+uVloa5XA7XX3+9HH/VVVfZ\nOphpRjgAMU56h6GbbroJN9xwA9avXy/roqurSxxGbdA2bdokJCKuR85vNrnp7Oy0lfDx+mZJn+YZ\n0IDTdvh8PqTTadE13FiB/WyZ0nC5XDjrrLMwb968CY1vywbzBz/4gfTxJJWd8A8hSxo8KiC/32/r\n1EKFQ09+aGhIog0aJNbYcUFr1hOjEtaD0ejxvOzQUqvVBBPn8UwKa0Oud1rhC3C5XAgGg0KqIIkl\nHo/bolTWKO1qBhMAjj32WMycORPJZBLlchmxWAzhcFgUL+FrOjEcQ44bAInUdd2imRfM5/My4VmA\nrGEZHsfvc6FrlACALC7dpILzQnfd4bzT/3SZDI0/5zS/x1yiru3SjTG0Idf5eBojnZfn5uq8F9Yd\nM2oE6uzUxYsXA8CIxgD8u97uCICNOMdn4nGsbQUghI9oNCpQGL/P3VSAeg70iSeewIknnihsZwBS\nYuDI1JCLLroIGzduFKc0FAoJPOtyuXDzzTfLsV/5ylcEuWm21yTnyJIlS+TvX/rSl9DW1iYo3fTp\n0yXNxXU/MDAggRBLO1hZQF2heSXkO5CIOWPGDLEL5CAw+uzs7BTnkLqdc5/6ifqht7cXsVgMmzdv\nRiKRwHXXXTdhg9lyDjORSCASiSCdTmPGjBkol8uy470u5QDsWzaZWx+RJaXzP/Su2dSXbCcWvNZq\nNSFq6Jo/nc+kAiIrUjMKdb4KsLcz489a+WvlyRpRGlh6Q4yov/3tb+M///M/Wx3eKSU0IGQGU7EG\ng0GEQiHZ847viFEejSQdj1wuJ4xOMphZnsOSIs4FnoMeJyEXIgOMXDlnNBzKe6TBAhrRIY8BIEgF\n/ye5i11C9DzW0ak2gpp9q2s5SVoCYDP2QAPS1aILtH/xi1+M+HxrHXS4jnQNGx1V5nM5RnQm9LhQ\ngZEwxPcE1Ldm4/1+/OMfb3mbJEe2j3zmM59Bd3c3PB6PbDlI5j/fu5bzzjsP06ZNk7Sanr+MUrWh\n/MpXviK10dlsFvF4HG1tbRgaGkJvb6/MGQYuXLO63KtcLstuRKzFDIfDYvDYW3nDhg3CFHe56r1r\nmXMlf4G9a8mw5UbS2iHs7++X9JquM52ItGwwk8mkUOlTqZTkotg+ifU5jBj0QBKy4yJl1EGDSmNH\nRZTJZCQfyq4/9IDNJry6qxCVH8k+miWoIx1N0qAC5bkJaWnI0Ov1IhgMStRKT6eFoH1Ky/DwMN58\n803JhejyHkb+jGBYi8h3wIhFGxzWZwKN1ll8p2Tg6aYUJLzwd5KI6Cwxd0nhPOB1dXRF5aHfO5ER\nzik9JzOZDNrb222oRj6fF+PEc+sIUxMVaFipOADgnnvumbR3s3TpUixevFiiXc5B1pLqrif09vl8\ndGKBOieBEBodEfbs5DG//OUvsXjxYoHKHZk6QkSPKAVROV1u9z//8z+277AWGag3MdiW+Hw+rF27\nFkDDAS0UCli/fr3NUeSa023x6DCzQQnXBncV0r1i2c6OfIf+/n65HgAhdg4MDKBYLGLLli2ib9ra\n2hCJRORYOgSatDQRadlgOjK6cCPgWCwmNW87k7znPe8RZyUQCLTsnTmy/eTEE098297PokWLnAhz\nJ5Yvf/nLCAaDGBoaEkNpCjuXsZNOsVhEJpPBHnvs8Xbe6pSTlnOYl156qewpyAYGmtxBth9LNXQR\nN3OPhIPM2jlGKIwcSKwgxMfiXEaP9IRNMgQhBt3wlxOBpSWMZAm/6l6GhF3pIemtYwgl6iYILpdL\nNqrW0ezOYjT3339/GWO3241QKCSNwzs6OgSmdrlcEr3Qo6XS5nvge+T/gL2FomZBl8tlqRNkL1qS\nbnRtLKNJwryEcUmG0eUhuoGBGU0SMaDSYKTKKJJzkvl0vl92IeJ3NfGI98Z75ZwGGvVrd99993Z5\nb4sXLxZYlWPL8WakyOVOeIzrlPfLOuRarYaOjg5Bf0jRJ0LADkcAmkLHjuxYOfvss6XzEvkaRFy4\nm5RGDbgGhoaGADSavjCH7vf7sX79etRqNUybNs22nrluNFeEa4KNaZjC0CxzoNGfmzAr0wEkZnLz\n9c7OTukYl06nMXv2bAwMDCCVSknqRd8Lzw007IPf70c6ncZNN92043KY8XhcjCUNFgkxZC0FAgEM\nDw8LJZhQmO6oQ8hAt+DiccxTAo0wnOQi3RKNpAk2/DZ9AQ4qk89aOdIQ8nMadt4TDbve3onMXCph\nGlA+JxmkLPDfmWTGjBnS1CGTydhIO0ADcuXfAUhuMxqN2uAPXdTPRatzyJwDumE7FxzfAQ00CQAA\nbCUQZtkH56NmrDJvyXILoLFgdc5cN6gg7JtOp8WZ43Pp+wIg7bl0SYw29mxVt72kWX7z5JNPthlR\n5mQBOyR8yimnyFrVDinXAsdNt6HMZDJ44okntuszOTIxuf3223HGGWfIxgSBQEBK9TSHg1IqlaR5\nPkv+gEZzAhLeCPFzTtAo6fXLBjYMOshVYW09jSc/Z96TBjGXy8k1eK+Ee3nfmzZtgs/nQ1dXl6Tj\nWOdJzgGNt2bHtwrJtlyH6cjY5ZJLLsHuu++O2bNnY/bs2Tv6dhxxxBFHHBmHTMr2XmwITTiWReD0\nvFOplDRnZjSp9xTURBt6LNwiSheTE3rT5Bu90zcJRIx4SeDQZA8AtoiCkBRhYd4L75PHA7BFo/TY\nmdgmZMxrUAgV8x50i7S9994ba9asafUVjEtoqAmRA8C6detsxxSLRWzcuFHGROfGCG9oyJIRByPA\nWCwmcCyFY05SAv/GEh3+DjRgVx1d8u+8P7JsNaTEyI5zKp1OS+kGn0PDrbxnDfMTLdBlIax9ZPSl\nayPNqI1CdISR+I4SDZcuXrzYxtrVcv/997+dt+XI2yADAwOYOXMmstmssKc5L4eHh1EoFNDd3Q0A\nkooaGBiQuk02liFCpFMa1AEaSWE5mGVZ0jN88+bNACCdt5jaARokPm7z197ejtmzZ0s6i1Elj+N6\nZZlUoVCQEhIiT0QtiTwyVQZAIN5WZFI2kNa9N7kYWWrBPCbzHoRUCW2RYctjGDJzUMlS5YsCGntw\nAhDDx3MSpgVga9Sumbk0uJrFaRps/q+p2Lp+k3lOoIH38+VQ0bO7DfNlVMKcWNtLZs+eLcZn/fr1\n8vd99tmn6fFz5swBALz11lsAIPANjQxLE5oZT74Tna/TZTrMV2qnhYaJcKYuBzIhUr5LfW7OOeag\ndU0lYVwuLjpuzHXqe9OGWRtjwE7F12kDnbMEGqxY/qyfh8+gO6zsSJmMTZ0/9rGPAQB+85vftHyu\nPfbYw0YeWr16dcvndKQhjz/+OI4//nhUq1VEIhFEo1ExPOl0WmBYoN7ggp17pk+fjmKxKCVcdBpD\noRAGBwcRDoclr8lSOzqSXHPU9ZpRzpSZLhdjAxnyBFKpFNxutwRCusSQNoKOL0vcuCa5dnXttdbp\n/H4rMiksWfMmNPWeO4Swto6tj6gc8/m8bPvl8XhkNwsdyemCeAprKvk3KlRdg0mjrevkdO6KERTQ\n2PWb0SKNnFnbp6MmEom0EdZ5N7P+qVar4fjjj8d9990nL3e33XYTL6xVmTlz5ghDzN3Qp02bBqDe\nEJ+5yVAoJLuY8/v9/f2y1Q4NPMdLe5NsQMGFADRylZrUw+9yPmhCjxmVMerT9YC6lR27ivAdamKQ\nbkmnWxryXpiLBBrRH9CYN0B9TnFeasNKZ4vPyHPw/LqGU5dI8V49Hg/+67/+a1LesSOOjFWOOeYY\nBINBW+MYzvehoSFpNgNAOgLpLj3Ud2xazs8ikYg0kiH6wgiPxDEA0gSBa1iXKhHdqlar6O/vF4PH\ndn3BYFD6zlIvkJcAjNyqD2g0wdH9y6mvaGTNOtTxyqQYTBoTQqEastLRH40EIy+XyyWbhxISYPhM\nL4EJZB0tsOsKzw9AXrIOxdmlggaTChaANBfWho7HEWbTno2ORvjMWjHq7jFAA7qkwdQG5FOf+hQe\ne+wxiaZ7e3tRLBZlLMYr7373u23MMxoukzLOXQSAxk4Yfr9f9pWjtLe3S9NjRnJaCE/SwHC8NTnE\nHAttdMgw1n1aSSgg1M6FQgkGg/KuWcPJul9Goro1I6NROkYAZB5qI6nfIeF1LlDOD83q1sxbjTzo\nfrdUHpxTJky/M8tvfvMbnHzyyTj55JNlvj711FMTOheRAo7j3nvvLc6QmSZwZHzygQ98wDbXs9ms\ndGsiQsdmFJynpVIJ3d3dtu5ZNEI8D1vNaRY2mfIk6aRSKRSLRXR0dNiCJeqRWq2GcDiMWCxmiwZJ\nFGTjAwrvT7O8m6FZHo9HUiAm8sXPtW2aiLRcVrJ48WJMmzbN1rNVRw6M9IAGDGYWuVNBaniGfWWB\nBiOTsC6VJL0GE/rTVGUNsVIh6qJyGgrdek0zH9mej0aB98hJxWiZL4iQo44u2CiesANQz+v+/ve/\nRzwel2v5/X5s2bJl3O/h3e9+txgf7XlpqJGMXn1f/GfmCefOnYsNGzZIBx6d47UsS6jifG+6SH60\nfJ1uEsD3w79zbtAQsySIC5P3xVw43wGjeT2ufCa9tyq/QydNR4Q6D818CR0v7UjxWppNS6iXyATT\nC5xzO0sZ0UTk2GOPlTVfLBaxfPnyCZ9rjz32gMvlksbcAES5x2IxybOx7aQjW5cFCxZI+QWNneYE\nEAYFGgHHrFmzxLF1u93CNs1ms7Ku+b/eTg+A9EqmY8imMlwPAGxrR7dvpEFj5zagUfKnEUN+X6eF\naES5Hy5gL3EBGugW9Vc2m8XSpUt3XFmJ7j9IZcNwmDdMoRGkkiS9nwNHCnQ6nZaaN0Y5+sF5XrNe\njgZZK1VdhsBIQMNsOlepc0+6xo6eDA2QJqMwZ6lfrIZw2Q2GeQBdh7r//vsDAJ577rmWCsEJb/Ca\nJkTCyI/jRqOpP2NUDQCvvPIKurq6xGjwnDS0XBw0lLweJ7p2ODQMoiM0noeLREPnzHvzHISHgcZu\nDEQZ6IARstFRKN8fu09xTDhfuci0EeX1dd5VL3r+r2ErPj/nQk9Pz4Tf5c4iHB8auCOOOAIrVqyY\n0LnWr1+PmTNnyhzSDncoFLKVLjmydTnkkEMQDodlhw6uFUZdmghDx16jN5ZlIR6Pi1HTDn8qlRI0\njP+45Zcu7dD5RW2wyfsgCsWUHdcw+R7Up9QVXLeaqMf5p8l5mryn16oOkFqVSYFkdd0NlWY2mxUD\nqves1NEYANvA8CUQztQsTJ1b4stl1AZghIE2w3Cd+NWDqSFEPaAcYMJsPCcVMz0kvhAaYk5CXSuo\nI+t8Po+Ojg4b5EDWF1CvfxwcHBzX+NMAMQ9B5a0nsOnEcALze2Q3m20DgQaswQmrJ6j+mcdqiFOP\nN8eci1d7vdrocI4QQtWRJJ0oepI0rjp/CTQgem4bx6iRx9DjbIYo6PPo/Kt+Pp3/5s9utxt77rkn\ngEaXp11Vli1bhmOOOUZYia1Kf38/enp6ZP3wXQMNdntvby9KpRI6OjpQqVRkQ3JujhyJROTYiSA1\nu4qwjpLoGAv29XphuoEBC3UOU2NAvZ0cdS2DFuotchDc7sZ2iFr4Dpl2opNp1kObdctmYxugEcDo\ngEnXdmv9oZ0urmPOz8mohW/ZYGrvj1tuaQIOIVRGlhom1NCWWf5BBUgYjYqKBkCLaVgJ1QKNfBlf\nhvZwzIhGd6jQEK020PTWdK9bflczwwBIj052BqLXxklHIo4uKgfGTwRiw3egEamxBIK/s4iXyp7e\nJw2QJiv19vaK4tH5PBoOnkdHZkBjZwx+TxtSjh+vpZnMQMN50eQZdtQBGguUXYXMfDLPqyN9XpPd\nmLRDoyFhTfyi4eN708aTC9J8bs55blD7/e9/f8zvbmcWEkG4C8b73vc+PP/88xM+H9cUnWc6eVo5\naunp6RlVCXZ1dUn/4neKzJ8/X/KImoxD3aPXAgAhZGryDvUny7YIYxLxYxBEHao5JECDPMlqAI3U\nmfwB6iWuI+pBADYdrm2GmcrRiJ/mLvAavIetpYvGI5NSVqLxcHr//IwsVwC2HFGzqI6dRLgZqEns\n0UQWUxFzkJhv1F6vhtQ0ZKoHXdf4aKOsQ35+X5cXtLW1SQTDaxIW4KLXUDCNFADZALirq0say3Mn\ni97e3jF7yX6/35bf0ZAsx4ktsfL5vOTztMfGMWJjbj7/mjVrMGfOHGGpAhgRUejojL9zvOjE6L1F\neT8AbLWNOlqk0ePf+J74DvS1dX5a55sB2M7J92nmtTkX9M9m1KodOj0GJDDQmL+TZMWKFTjiiCMk\nXwUA8+bNw6pVqyZ0Pq2AOT+oO4jKkGymnTHukkNHrNVNgndGOfDAA8UZ55gR7ePvdEQ4zzm/6Viz\nGkGvEepvrod4PC4BBc/BY3W6jfqEOllzKbTu1gYVwIh0zGjBEYXH6RI3zcalXgDsJWATlZYNpu7d\nqWFXjSnTU6S3AjR2j9B5RM2K5aAQZgQaUQgHRis8raT1gDfzTnQoz1yaVpI6UuGE0F4R75XnoIdj\nWZbUL+ZyOdmbjQX2qVQKgUBAvLn+/n50d3fj8MMPRyaTwQsvvCCwNlCPNEOh0Dbr00i/Bho5W23U\ngUbuLxwOi1fJBcVn1uQVXfai+0NqR0OPB0VHYCYEzPfB33k+bfBM0QaUoqNXHeWbeU4NqTcjGvH9\naaOq5wHQ8HQ5z3h9it/vFyiwWCzie9/73lbf1a4mbEAyGUXhjFSbSTKZRFdXlzhDukzALDniXru9\nvb0A3j54dt999wUAvPnmm9v9Wr29vajVaohGoyiXy+jo6BDdw43udcqEOpjOMNe63o1JI2y6/IP6\nUOdCeW6dxtH5Sm14dZACNNav1t36fJqkw4BMl401SwE0Q7R0Ko1BWqvSssHUD6ipvFQ4Zv6PiV0d\nmrNXLAeJ7Eyd+2xGwNCdeEyITCtrnpv3aJ5P37umUvNlESrS3YyoZAltMvpiNyLCwC6XCwMDA3Jv\nLHugkRgYGJDa1H322QfJZBLxeBzFYhFdXV1jfg/aeOjnY9RF4xgMBtHT04NyuYzNmzeLcSajDqhH\nvvTS2RlId27SUZjpLXLMdc5YvzNG2EQQNMtYO048j/lsFBo9Db/qRaeJI7wfPSc1uqAVCc/D45vB\nsHprN57L7/fj29/+9pjf164if/nLXwAABx10kBjM/fbbD2+88cakX4sQ62GHHYaBgQEUCgXpRMM1\nrHtEcw7stdde6OvrA1AvXQHQcoet3XffXX7WaNj2lu7u7hH1y+z7S6dNrymuU02koZPMyBOwcz/I\nliU6pte9NrgAbPvR8hjNa+C1Ta4C0LATOhDSNZNAo3e4mRbhZ4x2NXxLobPM+WAijxORSWHJ8gUB\ndqhKewmczNpT0R4DB4xGhrAsB4BQpfZUdCRoEnv0/enogEQX/cI1TMB74Pn/P3vnHiv5Wdf/91zO\nZe5nzjm77S6lu2wvaStNYzCtLQELqamJCoII5aZ4wQTD3b8aMBLRSEjES0QJoMYUCAJCVIwmJHhB\nKxCr8CuBCi1ou+22e/ZcZ+bcZ+b3x+T1mff3ObPt7s7Z7UL3STY7Zy7f7/N9ns/1/bk80hCWlZRR\n+vwtKWqPEKynTp3S/Px8wLEE3bH2wNXz+cGh08Q18aiJGZzJIEbqz836NptN5XI51ev1uN6//uu/\n6rbbbssoU39eH9/4xjckDSCflAldWfF7h2JSWgBxqFQqmThiCs3DAA7LpFB8Cv04nbnC5rvc3+/L\n2jFfj1+ndEYsLZfLxfxp/uCC55k6QIvONyx95513SlKUEnkOAZ4IoRX3KK666qp9geSebOxHjIzR\nbDYzdemcEsQARfLzSHl23oPf3FiEB5AP8AIZrc5Pbnj79V1p4fmlsoQTUTxcQ3xTGsqKFK1J8w8c\n7UmNY/jcIVp+4w6RK9Nxa6L3JUvWH0IaCkuUhQsxt1IY6eZxLVeqWK/NZjPjHfB/iqNTEoECJOjr\nG+b38k3x3/A8acu7FMqVFDDH6uqqer2eHn/88fDWWAOHrSBIMsk2NjbipJVer3dWsRgnZLfaiDlI\n0je/+U1JA+GBh0zST6PRiN8Sg5UUWZ8PP/ywnvvc5wYklsvlMslAqUXpyTfu5Ver1Yg3uyGSUWY+\ngwAAIABJREFUGjtcy687agD5QAfOLNCFQ7Zu6brVzXfdoyQL0Ou8ut1unN7iDOxZz8/EwQG9CKSj\nR49Gq8X9Gi996UslDTyqo0ePRgF+oVDQ8vJyeDqUSZTL5Uz5k7Q/cawbb7xRjUYjFAz9UDG+rrrq\nqrHa/B04cOC0n3E6h+cUeCzR4VSnT2jaPcFROQwYiyBSyC2HUN1jlBTH7PX7g5OG3OFAsUnDumXk\ncirvKS1xwyNFC/ESPSaaGrcMlKlDxGk279mOfTtA2i0FBCKv07ife4VprIjPgVRQvmyKb8b29vae\nshI21OFaFhEB6TFHhLIni/C3NKwVRUmSOba6uippQCx+7qUX3W5vb2thYSGewXsdoki85gkCo66Q\njLaDBw/q5MmTp137b37zmzp69GisoRfTp10zGKnCYn2KxWIGToYQjxw5EgSLQULckTXEcmXdPSuZ\ne5JkwNoj8FBsrMMoowrCd4aCHhyWA1VI+9Dymuf0WElqgQObOy2ACiCstra29Mgjj2h+fv60e/NM\nGqNi3Ps9crmcarWa2u221tbW4ii4YrGoSqUSsG29Xs/suaRAbs513HzzzRkelgbPzOEThJOkQT9W\nzpY8m4GyhJ6hvfX19eicIynjfbpR6KUbbtBK2VpnVzjcz3kuNWQxwn1v4W1X2A754rQ4f3k8VBoa\nxv6sLkMcUfJ6cmmoR1IFjuHg/O19xccZY1O2WywuYBkp5uyKFAXhnYD4m/hWenivn5bhKckOqfmm\n8p7/DaHhuSJkUcIU1BMT4DBTsvO8fIKONJyu4t41RMt1HELxWIETL/Po9/vR9EDSUwplrEJpkDVI\nbVouN0jdJoYjDRO13Jvz5C0nRG8yz9jd3dXa2pqWl5f1ta99Tffff7++8Y1v7CFmt175zEuGfO7E\nuFkr31dpmLzlXivzdoUG4zlzeAKCG1junTp05PEc6tj8niRuAUMdP35cx48f1xve8IYn3aMf5PHd\n7343ShowMvfTkHjJS16iYrEY8f2lpaU9ses0AzSN40tZ4+lsxk033RSvaas5PT2dyerEWMCY9jjn\n2QxkGEbfzs6ODh8+HGuLgcpJP8hE+AdUDyWTemMOybrnmIY7UtnNYL1dRvj3U6SLz/z5vImBNJTf\nngfDnNOQG8aEe54+b2nYPQ45LimTPX+uY188TOKYeFkep/TBhD1rlu+7ABsVz6JcJQ1CS9ojRN1z\nRdB6Ug9HPvFbru9KE4XmEO7W1pZOnToV88Z6I4a1tLSkQqEQLdyYEyUdFPjCEJ5G78lCXo/kvVy9\n7ixtE4ZCvOGGGzQ5OanHHnss874PhzqJ4TJPh12AtVDeMKQ0PNXjxhtvlDSEP1k/9/i8fssVKZ+n\nsYwUNmWdiGMjnDxGOire6d6Ot2x0w84FrCtl6NHjnny2uroaJz+ggNNEjGfiACnwmO65NOLw8dKX\nvlSbm5uamprSiRMnwnh1+LFQKAT8igJzuSFl0aWzHbfccoukgZfnkL+jVShiYo1PlvH7ZIPru8ck\nKfo9E4fjyCvkFgku0rB3sytGadggxb1Gzxfgf+g9jRnyvO75pUrWQykMd44kBbrDOF04hs98LVw2\nuBHueSkOI3NvkqHGjTPvS5asB3uZqGdOSUOrKQ0kpxY+QktSJrnGx6gMTF8ksiQ9O5Lr41GWSqU9\nRNLtdiPr1e8DAVFbCdZOUSwMw3ND1H4WI/FIjzW6N8f7wLvMB6+U8z0ZMzMzarVamp+fz6TNE6c8\n3bj++usz2Z5uBSJ0mIvDOZy8zv6haEcNmNAhI4dtWBMY2ks3fN1SWD+FXFxJ+tpCD+l3YTSvF/Xv\nOUM7PbqVjMBmDagbPl2M9Zk0jh8/rkOHDu2BwLxH7FONm2++WYuLi6rValpZWQnP7nvf+17wFULT\ns2SRE356kA+QjVGlS6MGBxoAAa+uriqfz6tcLmfoJqWTlZUVFQqFaI/43Oc+N777VLwpDc6wpLcu\nBkG9XtfGxkYYZchRZANyyftvA03PzMwE/1Cy5/HN1Dt2FEcaxg3dIUF+OR8x+NzleKr8ed/DOVLW\nwOXeaaIhw50ioGje91gn7/lhD+OMffEwic+5AkphUJSDxyVjEsVsmyOUU1ofmVqILvRT5cPiOITh\n93ULx6GKfr8fZR6MXC6nTqcTihXolObCxOr8M+KcDhd4Nqof+wV8wGBuMMLu7uDAbY7USQP257pn\nxOE80J/PD3usjkrS8uQGnsWZw/eb1xB+Cu+M8hLd+iRGyjX8tymTcg33KF04QnusKwIH2AsL3RPD\nvGa13+9HchaQNDTBsUTnemrHD9I4ceJEtLjDm/HuMmc7lpeX1e0OuihJQ57f3NxUq9VSq9VSqVSK\nonvgUr7n/Umls89kbbfbGd6n8Qd8gWHO5yS9gAAx77MZnGF79dVXh/EM1MqzlkqlzMlOabcwhhuJ\nju4xkJeeQ5IaFqOuCU+kORCuA/jtKFTJ+dTjrn4NKZvUhyLk+xjvJGimkCv6wOc97ti3pJ9L4+kb\nFDEDF0I09Xr9Gd1T89L4/hi33HKLut1Bc29i7+d7XH/99frWt7418rObb775gszhfA8OHbg09m/s\n2wHSDovgrUnKeBdYBSnunWZs5nK5iA95tivXcfjMIVtgYL8usAaBcfqTcsQN/2PVEKcgqchjlMQZ\nSTaiWBiPlpIW7sf7QB5kvlLKwZyx7lgHrFQC+2k8FquM58BK9Gb3p0u4OJ2QkIbttdgnLDLWgTXx\n/fPPGL7H7sX6cGsvzXr1JB5inCnk6d1d8Aw9YQcacniOdcfzYc2B+bzxe6lU0sbGRiRwVKvVTNiB\n75fLZRWLRX3+858/7bo+0wYZ3eeS9NPtdqOjT7PZzPSnLhYHbd4uu+yyKD/A6wA9qlQqmXKCbrcb\n++Z14E8Gza6srGh9fT28nUqlkmm95lAhscpSqZQ5/aPZbOrEiRNaXFw8Zw/7wQcf1LXXXhu0Rmy0\nXq9nGo1Iw/NtXR5ubW2pXq9renpanU4n0CCPz6d85Z2/kKWeeAM0ixfqLSPxLNkTZKqHYdJ4prcM\nRQ66h+rokZ+dypy4nmfQni6PIU02PJdxycP8AR/erxalxikPPq699tqxjhh7po/bbrttrDMhnynj\nhhtuCOPyyJEjOn78+JPWHZ7Pcb46Ep1uUGpyIc73vOKKK56RPXXP99hXhZlmt+J5oOVJBsAq8azF\nNDOy1+tF7KDf74e36TEuknQ8rZnBd7wNGh13PBHH7411RgkJSR08A54igXUy1aRsX1ppiNW7VVOt\nVjNZaO5Z89rjr/l8PvqU8txk+bJOpJ1TPF2pVMKy5xpYyGeyf6yxH7NELDMNmnu3FVr+ObrAuqT7\nMyq+jZUoZZO6PIiPFYkHTuablxrhaTNX/jEn3x+QBe9WsrCwoFKppOXl5UytabvdjuJ4ry9dXV3d\nlx6VP4iDOsQjR46M/Pzb3/62crmcjh8/HmVkJPuQ7OIoD317t7e3tby8rFqtFjF+Ost4hj48S+as\nx76ejB/m5uYy+yxlewpLCq/ReY9SE5CnSqWiXC73pDXUTzUuv/xyPfzww4FqQPt0B8NL9Hai3W43\n8ify+XwcnSZlT+TB4/M8Ail7VCJrOCpBzrNs+R3fAfVxjy71Ot3TlfY2WvcsVxAkeDxNJGK/OLnJ\nUa5RSYHnOs5vr6hL46Ic11xzja655proq3lp7M+g+falsXccPHhQhw4derqnsWfQyepCDRrC8/pC\nHDaOR3tpjD/2LYaJxYK1jnfiWYbg0GDfnpVFRmKv14u+htKwwByvbmdnJwr6p6am1Ol01Ov1ImOV\n9/FqvAOPn2iwtrYWmZR+gop3+yEmieXkeDjP4s/Od9LM0lwuF5mn7iUTA+Q7QKL8lmfwvpgU6oPn\nE2shW6/b7Wp6ejo8Kaxy1p94rHuBPDtzImOWdQcZkAaCj4JpSfrOd76jcrmsyclJHT58OHNGItbs\n3NycFhcXw7L1Q2W9xMbfA4lg/z0eSSwZb4Hf0X+YmGS/3492g2Qie6x8bW1N0rBZARmQHLNGC7zd\n3V0tLy9natqgR1ob8v44x1v9oA72u9vtxsk6ZCh7nkGj0dDBgwd19dVXa2FhQZ1OJzJAvc5OGpRL\nkC3uBf3sB/d0vmPfPddiYmJCx44dyzRjP3HiRCbWBq+VSqVApej4JQ15l6YnzJVsXu8VLSmyeKGZ\nyy+/XI8//viedbvyyit16NChWB/PFZmcnFSlUtlTo7ixsaFmsxl8jqfOay9hS2OYpyvVYp0ZXgbi\n3X689j6VlY4uuax0T99LP5gb3jP0w5yYh5fBeYcyckD8HOCz6c99ujG2wiSNmwHUBYTHZqOo0mC7\nB2iloSDyFmxAKCyyL6qnXfMetUkQMoy5vr4eitVLTaRh2zZJmeAywteTd5gX0AKwIAIcGNOhQodn\nPSEKQvPSGgZz5HkLhUKmFot5oLi5HoojhR8gJifm6667Tg888ECmzMeLm1m/lZUVlctlPfHEE/ra\n1772pDTx8pe/PCCrSqUSdWQYJp5MwBr7emAE9Pv9PcLFn4P/PVEAiN6bqqd0CC150TZJBxgzQMyd\nTidDGw7rsIbVajUEqTRInqJp/aUhLSws6NnPfnamFjNtG/emN71J//Zv/xYw94EDB1StVnXq1KlM\nPS7Dy6A8aa7T6cQ+Qw+UU7hxmh4awbjiiiviUATuA8yPMYjR7uVVbvCi3OhU5rThDRf8efzQ+Cuu\nuCL4j17QXifpfY09UZKEPJ+LHw6AYeiybFR51qiyDpdZDJQSkLcrbg+ReKkh13FomOcYpcy8cQzD\nnReHbXk+ShzL5XLoC541rc892zG2wmSi3uaNtmGewYZCgNClQcNq4hDtdjsWAAGGIMKSYGOmpqbi\nYFMsOq8lgqBRqL45bol6rJDYB8/kVpFbpLxHtqu3YPKWTXjLMCXNDqThhrNeWD5p0g3M7jVMjvt7\nvIA5euYoGaqLi4uqVCrxN8/C/WjhVavVgsC9JSAe3vb29hk11P7sZz878v0bbrhB+XxetVotGsxL\nQ+/W47l85lmzzqD+N2vq2bAIrenpabVaraBDP9wc5cgeYHw4ooCXWiqVwtsh67dYLGYO5PbxZGUL\nz8RBbeGTjbm5ufAc8/m82u127Bl8Dt1416eNjY09BmeaRU+dnhtJyJR0gEh4vAzkanNzM0ODTqfS\nUEYg/4hlSoNzOfF4UgUgSc9+9rMzSpSm/9AhconvQ5sY0t3usF4V2peUoU333nwODPf6PUPWlTDr\n6x4l12a/8DxZZ2SIo4oeQ0Xu8F1X5uwb8tRRKdbG95W8CW9W4UdFjjP2pdMPQgYl4QvN4pC44qd/\n9/t9ra2tZZJKvHB1dXU1E7z1Ljou6Nz1loaFtu7K+7wgZojMW9F5+rMTqZSFEzqdzp6ONunGYdny\nOwQtCt8tJQgKIp6amoqOMk4IqbJlzhgTzBNlDqED1ayuroZRs7Kyoq2trah9e+CBB3TNNdcEUbXb\nbVWr1Uxv13EGnU5++Id/OKNs0pIUT1d36I71RdB5er8bPOyFw0nuXTO88NuVKc8Kze7u7u4p3+l2\nu5HGz1xJNrqUBHT2o9Pp6FnPepZWVla0tramSqWiubk5ra2tRZmWNFBmKysrAcs7/O5Jg/AE0KiH\nG6Ts0YDSIP48MzMTcC7H4nl4whUHSYHS3u5dkoJG4dfFxUVJ0uOPP67LLrss6BNZlPJXoTA46IFr\ngjTxGevhCh9+x7v1cEWK0nB/eMa9TobLGe7pMgY547IedJHr+rp7uQ/zTENRfm+HhXl27xfMfT3E\nxSHa3mCCNUth/XMZ+6IwpaGniYBypcbEiaFxniAt38D3yf5kY3zzvD8pnzkmj/XhsK3/DuvHf8dw\nBvP783wwBMrWO+PAGBsbG5qZmclYURCkrwFHEklDokXZuTfZarXitdeRkcEKsdCfFg8WQvXYAvc/\nceJEhjm5H17n/Px8GBtYp8BQuVxu345r+u///m9df/31YQ1z/JmvP2vP3jgEn1rojJSZXKCiaKXh\nGajuvUoDoe0n4hQKhahfc4GwsbGRCTHQNhCaG9eKfaaNt771rZqcnNTjjz8eceN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vf70WUG5eqGjDf3d0OOPfQkI49juzzb3d2NXrJAxPl8fuz2bhfDcB3hMWkM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\nAAAASUVORK5CYII=\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x1351fcd50>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"qplt.pcolormesh(new_sst)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"--- \n", | |
"\n", | |
"As a slightly fancier example, let's just plot SSTs in the vicinity of the Gulf Stream.\n", | |
"\n", | |
"First, we should extract a 'rectangular' box of SST data around the US Atlantic coast form the original dataset. `iris` has problems with 2D coordinate systems (most tools will!), so [Filipe Fernandes has built a package of workarounds that we could use to help](https://ocefpaf.github.io/python4oceanographers/blog/2015/06/29/tardis/). For simplicity, we'll just write a function for extracting the correct points from the 2D data (stolen form Filipe!)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 17, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"sea_surface_temperature / (degC) (time: 1; -- : 209; -- : 199)\n", | |
" Dimension coordinates:\n", | |
" time x - -\n", | |
" Auxiliary coordinates:\n", | |
" date x - -\n", | |
" latitude - x x\n", | |
" longitude - x x\n", | |
" Attributes:\n", | |
" Conventions: CF-1.0\n", | |
" experiment: 90.9\n", | |
" history: archv2ncdf2d\n", | |
" institution: National Centers for Environmental Prediction\n", | |
" source: HYCOM archive file\n", | |
" title: HYCOM ATLb2.00\n" | |
] | |
} | |
], | |
"source": [ | |
"sst_d = sst_c[:]\n", | |
"\n", | |
"sst_d.remove_coord(sst_d.coord(var_name='Y'))\n", | |
"sst_d.remove_coord(sst_d.coord(var_name='X'))\n", | |
"\n", | |
"# add 360 to lon coord since it's not symmetric about the prime meridian\n", | |
"#bbox = [-78.+360., 34., -75.+360., 42.]\n", | |
"bbox = [-82.0+360., 32., -66.0+360., 45.]\n", | |
"\n", | |
"minmax = lambda x: (np.min(x), np.max(x))\n", | |
"\n", | |
"def bbox_extract_2Dcoords(cube, bbox):\n", | |
" \"\"\"\n", | |
" Extract a sub-set of a cube inside a lon, lat bounding box\n", | |
" bbox=[lon_min lon_max lat_min lat_max].\n", | |
" NOTE: This is a work around too subset an iris cube that has\n", | |
" 2D lon, lat coords.\n", | |
" \n", | |
" \"\"\"\n", | |
" lons = cube.coord('longitude').points\n", | |
" lats = cube.coord('latitude').points\n", | |
" \n", | |
" lons_inregion = np.logical_and(lons > bbox[0], lons < bbox[2])\n", | |
" lats_inregion = np.logical_and(lats > bbox[1], lats < bbox[3])\n", | |
" inregion = np.logical_and(lons_inregion, lats_inregion)\n", | |
" \n", | |
" region_inds = np.where(inregion)\n", | |
" imin, imax = minmax(region_inds[0])\n", | |
" jmin, jmax = minmax(region_inds[1])\n", | |
" return cube[..., imin:imax+1, jmin:jmax+1]\n", | |
"\n", | |
"sst_sub = bbox_extract_2Dcoords(sst_d, bbox)\n", | |
"\n", | |
"print sst_sub" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"As a reminder, we can collapse a dimension using a mathematical operation rather than just index it using numpy array slicing/indexing notation. Thus, we can quickly whip up a view of the sub-sliced SST data:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 20, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"(209, 199)\n" | |
] | |
}, | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.image.AxesImage at 0x10f18cc10>" | |
] | |
}, | |
"execution_count": 20, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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upqew1ez2wH2pfRUiZmsLq+V21g7NQiTPiAjCfffdh61btwI4pjwqlUpiBqtZ\nrTmFzWYT3d3dOPfcc7Fr1y5MTk7i7rvvTgiVTXR9qNo999yTrGpk26xsNuuNMEIEHjL/PVPc/JK6\nzFzWOR45MTzi5JWP+Jgs09xLi/JI3Ks7j/y986299rler6Ner7vXaIjkGREBYHx8HJs3b8aTTz6Z\nSi5nf6OmC+ksnP7+fpx99tm4/PLLMTY2htHR0ZRCsvOnpqZSJNTZ2Ynp6ekkNSmUz6iBpSwT34s4\na44lJ4VzoMRbDMSrx1OI2na90ehTLL12AUi5BVRxh4gzjyi5vd4xVqctDM1rAniI5BkRgWPzwO+/\n//5kHnhohXIeaEyeHR0deM973oP3v//9AJA8WZZhhHv77bdjZGQkpcbMBPf8jVwvE4/XPq7H2mXH\nqslsMD+sHZul9Dyi1vL0XK8fVLV7xM/uDS5X2851sTtCg1Seq4GX3jP/c7VaRbVaxcTEREvbGZE8\nIyL+P9g3B7QOWh3g09PTWLduHd7ylrego6MD5513Xmb5hw4dwn333YeJiQnXlPd8iKy4rF4zJ5Xk\nDEYIbDqzCa/ExSpPF8XwFJqpUyUkK0/7zrapX1VXQLKyeVV4268EyP5az/y3FeZDfmAOFE1NTWFy\nchJDQ0M4dOgQhoaGMDk5iUOHDmX+npE8IyIEHR0dWL58eZL6Y2DCsffLLrsMF198cbCscrmMxx57\nDOPj4yiVSpiYmEgWE7YyWGVxPUyKSioabNFz+bspZI12c5n28Det2zPhlch4/U9PRfI+bTcrfPXX\nemB16Znx3o1IA0LlcjnxaVarVYyMjODQoUM4cuQIjhw5gpGREVQqFYyNjQV/VyCSZ0QEgOOrCQFA\nf38/fud3fgdnnXXWjMuZmppCpVJJvg8NDeHJJ59MBnFPT09KHXnP2NEFKew4Pl79eCHlaOlKIf8k\nP0iNXRGeqyKkdL1HXnAdXhCLA19cjl2j5yYwtcmJ90rY9hymQuHY0nu8YtT09DTq9ToOHjyIkZER\nlEolHD16FC+++CKef/75pL1WX/R5RkS0gdNOOw2/+Zu/iXK5jIGBASxfvnxW5Tz66KPYvHlzSqFp\nUEYVJAefmOT0gWeas2ng8z0VyISkifCe7zIUybfjQ+fqcaqWuf02m8k7hhUvq0w7x1wGuiIUm+cA\nkhvC9PQ0xsfHMTw8jMOHD2N4eBgTExOJuhwfH0dvb2+LFRCj7RERbWBgYKCtB6Z52LNnD7Zs2YJC\noYBXXnltZr09AAAgAElEQVQlZZpqGhCbyUCrz9G26T5Vp2oOa5oNE5y1QYlGTXM7Pos08wJGnquB\nn3DJfWOq2IhdZ2VxzqwGgrwbkPZZpVJBtVpFqVTC2NgYjh49ikOHDqFUKiVPE52cnEymuurNKpJn\nRMRrgGq1mvjEnnrqKezZsycZ9LZKu6k8U1xGmEYorM6A1sCIbfM+s0JVP6SVDRyfzsnkzOSlxBny\ncfJ51hYP2ha71nq9nlw/K05uK5vmXV1d6OnpaVl5XolTidqeSz81NYWJiQkMDw9jaGgIlUoFpVIJ\no6OjqNVqLa4GJnl71Wq1zP9AJM+IiFng6aefxk9/+tNkAPJiv2yeA8d9lvxdiZKVqcFTmrxd9yu5\n8TYvEGQvJimdheOp0yyo28FIaWpqyl3tndWwvuw6NMme/aZMmLVaLYmcDw8PY3R0FOPj4xgfH0ez\n2UyO0Ui+p46BVt+zIpJnREQGDhw4gI0bN6JWq6UI6OjRo6ln+uiSZjyTSMnTi0obslQnv2s56ibQ\nNikR6vRNa5sl6nNQhwmZCd9TwqYurQ9YyXng9tiLFynR62TlaXmZlUoF5XI5eY2Pj+Pw4cMol8uJ\n6a6+ZvaxKmmGXBeKSJ4REYJarYbDhw+jXq/jueeew+bNm1NRXh3knlnpKRqDDVJWV5w3ads0cMTn\nGtS3aX5CC66wItbvrDYtVYmfya7mPrfL8znydoN+D12DBoQ88lI3gKnMUqmUvMbHxzE2Nobh4eEU\nyXptZ3cC34SYRLMQyTMiQrB3717ceeedqFaraDQaKaIxEtVBzsRpgQYNDjF4YKoqAnwFqsEWrpvJ\nkl9Gqt3d3ejr60tmEln7zD/YbDZTJMtmsUHNcSZBM815LVElHyVSq1NNcI6u87RR68tarYZqtYpy\nuYzR0VGUSiVMTk4mfujx8fHEX6k+WP5tlDS13/MQyTPipMXY2Bj+93//FyMjIykFNzExgdHR0ZSa\ns5epz1AQgwelDkQlTMBXcrbdwJ/Z5FYznE1xW+HJzuG2G2ma8uLgy/T0NPr7+1PTG/U61F/IQRor\nz66RU6OsHJvbb2Vov9jLHt9hS/hxfZZ6NDY2hmq1mtRtfk/NFbXzTGFbWzgligm6HQKN5Bkxb7F/\n//7M+clDQ0PYsGEDJicnXXPcM3NDxMnTAVWVAdmzhvjcEJQk2TfJ/kkLXpk6Zr+sqbtarZak6nAw\nptlsolarobOzE8VisSV1R6dkms/QlKARGK8sb+0wmPoL3Ty4n7h97FMtl8sYHh7GwYMHUSqVUorY\niNPKNrD7hH8/9gkbwXLQLAuRPCPmJZrNJm6//Xbs3bsXgD83vdlsolwupwiIFZquz6nRVw2IeCaf\n1stRdTN16/V6i7rUMvgcDeSwa0B9nppPalMS7aZix3JdrNLsXPbbMnFawKZSqaBWqyXTHk1R8gPg\nWH1yihKTJweKuM7e3t6EOA8cOIBDhw5hZGQE5XI5uY5CoZAiT+0fI0W+0VhamVoOcUm6iJMaY2Nj\nKJVKANCiFtkvxwnY3d3dSeoOTwP0kt1ZzWiuJuDPxmHyCEWilYA1gMJK0soyNacBDyZuU2bVajXl\nW+RjeZutcG/kxmg0GqhWq5icnEzm7Zv6tBsJ92mxWEylRFk/mRtBr5EJmxWw1WF5m+bbtPO9NDAm\nTp6BZN+5X9tNyQIieUbMc+jAMLCZqOawkSYPNDufzcx2FacqXlY5GkThQa/tt3YbUZpf0tSkHVut\nVpOnYTKZmlK0XEd2O2gAysx7u352RVgbbObOyMhIMt3Rgk/WZiPP3t5e9PX1oVgspp4Lz2Sl5KXt\nBZC4G2w7q0OP9NiHaSqb1a1mPHAfxGh7xEkLVWs8UPQYfmneoQ1cTkFSRcTgCC4rqax2Mpkp2eq7\nkZeZ2/V6PVnxvlKpJMTa29ubWvDDgjrsmzUSskU0CoVCQlascIHjC2tMTU0ls3VGRkYS87larabm\nprOSN9PeyNOCWvyMp56eHvT19aWCXeZPrVQqiZtleHgYU1NT6O7uTpSld8Ph38n6RPNeWQXzTcTO\nz0Ikz4h5DyZFM+2MEJQo+cXKDEin6nhkqINXic/LjdTzWSnyeZ6/1h5Kx75TNWuXLVuW+PX4XC+q\n3GweSx0yNac3CjP5K5VKKr+yXC63+G55mqXmnBpRGmFzJkNvby/6+/sxMDCQLAnYbDYxPj6eBKfs\nBqC/g/af/iYcJNIUKQApcvV83IpInhHzFuzXZDXEYFNd8zeVPLhcoPVxFDxomfA0Qs3legSq4ACI\nlsFlmRvByG1sbAy1Wg0LFy5MFF0oAs3uAE4eN1I01Wr5lRxdtwi13mR0ZpNdg00JZdK0V09PD/r7\n+7Fo0SIsWbIkIf5qtZpJnN7vor8R+7aZPK1fNeUrkmfESQ0mMZ6OCByPtlowg6PrHskxiYVSWew4\njzjtu27Xl9Vh8JSsV46pKuBYsOfo0aMYHh7GwoULsWzZMixbtgy9vb1JH7AZbmtXNptNTE5Oolar\npQJaRpCaG2qzkpTAjYz1psLfjcyKxWLyG5gqPXr0KCqVCk455RQMDg6iq6srIVBzUZhLgvucfxt1\nxbCprv5VNeujzzPipAan8ABIfHCmMOv1ekKevGiuDcQs36ZnYmf5QGezLRSt1316zUxyzWYTo6Oj\nqFarOHr0KAYGBtDf34/+/v7kZmJBJzP7TeGx+c5R+c7OzpZ8yo6OjpTvUfuOr08DZJbcbuTZ3d2N\nWq2Wmh5qKhU4HuSxNqif2MoNkTYrTvtsZbOrIZJnxEmHQ4cOYfv27YmfTNUFKw/2wwGtc8rVFNXU\nH8+MzgoOef64vOM8P6gqKzvGTG2e7VOr1ZJk8r6+PgwODmLx4sVJ8Mbarcn6XqSf6+fZRN51eX3G\n16Ouh+npaXR3d7ck2nd0dGDp0qUp896mzqr5HiI8Veh682GTnidGZCGSZ8S8w5NPPonbbrstZT5r\n5FWhJMjbNGpv+7x0I8+cbjd30HMH6DXYcXxNVo/5O201IU0YN99hqVTCyMhIKuo9ODiYmPR83dwO\n7it7Nx+kpm2xWvWg6tjIkona2t1sNtHb25sEk2q1WtJ2XnNTsxv0u6fq9TePqUoRJzXMBNWkdx4s\nhUIhNU8dSJverGjYZGUy8yLg6o/0fJe2T8G+uhCR87Ec6LFATqlUSqlOz1S19CT73tXVhVKphGKx\nmJSvNwRVkZyDaUrRS+3xXA/22fzLfAOwsmx/uVxGo3Fs5tGKFSuwcOFC9Pb2ptYHZaXq9SUTKN/s\nOOOC05bMn5pF/kAkz4h5CjbNbXCY2jHzndUHp+4weXomsyZT55ntNjANIV+cp1q5bE0tsvQhW7PS\nouDaDr4O7gfuK0uI57bqzYBzZY20jcSUqO09pOJsm97UrOxm89hsIiOzgwcPJrmrlh+q0ydVHbNP\nk10TnqnP+bAcjc9CJM+IeQkmNpuKqIOaB5UX3GB4atIz69UE9KYdGrygCpfLZGJBFSbGqakplMtl\nTExMpMheH6zG1+y1sdFoJDOUlOi4bTrvnGfuAGlyzSMeJlpvWTpbqxMAuru7kwWO+/r6sGLFCvT2\n9ibkyn2iwSi+Hg6mmfK0evUaovKMOGnBBMkq08jCI0FVbJ4PUhWdqRmdh82q1461d/WVZkXp2Tdo\nL/tukXE7Xxc45mg590sIWcpXXQ5qojNBcZS8HV+v3pjMn2muByNJXuB4cHAQg4ODSVAwdCPS61cf\ntQUNbbaSZQ200+5InhHzDqz47DvQSlxKoExiTAbqK9Xotg5IVjMeeTIpqruA2wughTh53Uoz0YHW\nFBs2Tz2fYwgecfI+6xPu65Bf187xVLcH62v2PwJIkvctv9OmkS5ZsgTFYjEVsOKbI18Pf+a+YfK0\n36LdAF8kz4h5CTU92URnH5c3bRFojfpqpN4UCj/GQf1s7M/TdrFiVT8cz3rhRHZWnToV0gigp6cn\nRQx8PdwHWfCI07Zb33l+XSVRz+eq5XGfqHXgBZvq9ToOHjyIYrGIgYEB9PX1Ja4ZWwXKi/yzv5e/\n83Rcvf48RPKMmNfwfGHA8YT50CBR5aFqhJWjqkY+VgnC2mKRahvkGsCxY3mKpJGnqkqdj8/t4Dp1\nm3edqipDPmAlPO98L/qeV4Ymr2sbrU/Gx8cxMjKClStXoq+vL+knC/iootcy+cZjKpctCG+pQEUk\nz4h5Dza9AaSmXwKt858NnrkZCj5YuV6QyM4zhVSr1ZJZPCFyt3q9Ae0Rvrop2GWg18jvWl+e6soi\nNb6RaDnc/1q3ukK4Dlbh3PeTk5MYHR3FkiVLkuczmf/XTG8mfg4CeasrAUg9vpgnAIQQyTNiXsFW\nNFfFxDNWenp6XGUYMhvVn+kFimyfvWs6k5Vhc7MtCOL510Jqj8mU61OiYpeDXherMEYo4MLHhfy4\nXuBLTXa+YXlRbP0d9Np5AeNms4lKpYKRkRGMjY1hyZIlSeqS+YJNkVvf28wkc3HYik7sWuHfhqen\nhhDJM2Je4dZbb8XWrVtbghtstvFg5/nsDFZS7F80QmJ/J4BUaov6GW2bTZtkX6tOfWQzk79zfeoq\nYPWalZ/ICpxJikk5RJwhcNDLS1TXvtQbQ8g94h2nmQSTk5MYGhpCZ2cnFi9ejL6+vkTNl0ol90mc\nXV1dKBaL6O3tTaanAkitHMUPkctCJM+IeYX9+/djdHS0JQAApFWNkYU3HdDO4QHMj3ew420br0Kv\nipPPZ1NQE9KtPG6vZ/5mbbPPISWr4LLaCSR51+Q9ikRVrl0f34BC5KnblMx5wkOtVsPw8DD6+vqS\nlep7e3tTKp9vbt6D/QqFQsuCKHo9IUTyjJgXqNVqGB0dTfxd7PNiqKLjY2xaHtCaosTkBhxXU+ZD\ns0g3KyclC/a5sllppqyn/rICUaxQ+XjP3Odr523t+Dm57/jadXk67zgDZyowKYV+I28/+3JN/Vvg\nqK+vLyHF/v5+NJvNZJFmU+Ts7+Q2morVqaZ5fRLJM2Je4KmnnsIdd9yB4eHhlO8xRCRMPsBxgtPE\ncvXrhZSQkiMTlpGFHWNuAFZRWW3kco1kvWAUH+sFjbhs75yQelUys2vQJ0x6/srQ5xD4d1E/M99w\n7DU9PZ0sdGKP8ejs7EyW3DNCZH8tr9lqM5kmJycTX6f3W3uI5BkxLzA6OopDhw4BaH10r0F9bzxQ\nQ+a6VwbQGmAKzV23Y23QmnrN8rdqGVyHnaNLx3nuAk8BqhoM+SCZQFXhepF/LwgV6sMsaF32m/F1\nal/bo5T7+vpQKBSS5yJZMr29c7+YYrbFVMxHar7P0EInjEieESc8jhw5gpGRkRZT3SMEVhXq9/SU\naghKnuxL5WP4s5n3pqqUkLLMbSNfrY8VmT4emQlD69MbCN9ElHT1u0bW9VpD/e/1sZI0b9P+NDeB\nLlRcr9cTEjRV2d3dDSCdz2svywmtVCqYmJhIVCfv81ZqUkTyjDjhceedd+KJJ55IpvFxKo19V8Xl\nBTcYPIA1KV0VkEV/WRmyb42Jzo6xqYT2xEmPPJkE2exU/6gqTz5fZ1CF/KMeEVp7tV9YwQOtEwgM\nnhq2/rKyuL4QPMXLqUvW/+VyOdk+MDCQ6hv2z5bL5cRU18cl8wyuSJ4R8x5HjhzBxMSEm6Zjqsxg\n5KNBA89MZKKwczlKzuSoCfJKZkbgrB71WT/abv7M6phVmedG0HI8nyXQuuCw7Q+B1bq2TdurZrIS\nsrolQvXpd57DzuXYQtCWu9loNJIA0vT0dDIxoVarJaRZrVaTvmeFzpkUWYjkGXFC4uDBgxgdHQUA\nlMtlNzgCIPF5AcfTVewz+xzZDNVIO5vGZhayyvTIjQej1yYjT8stVFXIULIx5RmaKZUFvhnwTYEJ\nVX24dp69a1s9ogyRuQc+N4+81W/N12QJ8h0dHahUKujv708W/LBHJvMq+2wNWDntpikBkTwjTlD8\nx3/8BzZv3pwMFKA1MMK+wtCDvXixDCYhJU5OkdEouapLHuSqYuwYU0o2pZChKo7fuRz7rgpU1Shf\nh4eQ6tWZRB5UYfMNxUM7ZKrXoW01s1192c3m8WfZ283NZg3xY5N5koT9HnYzY2Wb19ZInhEnFF5+\n+WX893//N5555hmMj4+n/IA64NSfaYEEJTgvaqw+RdunuZb2zulDWr4mxwNIlJJnNjK0fiVEu64s\n5cptzYKnGJWUtV88t4W6Bex8r7689oQIlAN9fO2mKHt6ehKiNHPdTHW+Nlshim+i7SKSZ8QJg/37\n9+P//u//sGHDhuSxEaEZPUB6xRwvGNJsNlNJ3qocWbFpkIjL4O9s8tl+VpecGM++TlWQfH7ILFY3\nQ97g9whW+8ULPOnxns9T/Z48qSDLhPe25flDQ5kJfDPU1ahM5duydWotaApbqG5GJM+IEwb33Xcf\nfvaznyUPd9MBq398W+OSj2V/ny5GDByPtqqv054pnqVKrRytg+dJsz9V8yzV16Yk4gWh+GbgKWKv\nLAb7/TwS9I71zuEbD0e2Qz5Q/ZzVRm0Dt0X9pez/tBuUKU9L6Pf8uvw/0BtWCNkP6fj/2Lp1K373\nd38XALB371589rOfxec//3l84xvfSC7mBz/4AT75yU/iyiuvxEMPPdROsRERbeHAgQO45ZZb8NRT\nT6FSqaQGufoHbVAY2XHKkJqdNtBtmz7vXAkYOL6AhAUneE1Oq5vJ2lNEOgWQiZyPV7LSR32wws4i\nKFXbBs/XqSo7y3fpqXHvWrjfVTW26wNlaL/wtXB/eknvfEO04J+1m9tkvvIs5CrPW265BXfffTcG\nBgYAADfeeCOuvfZaXHrppbj++uuxfv16XHTRRbj11ltx1113oVqt4rOf/Sze9a53oaenZ8YdEzH/\n0Wg0sHPnToyOjqKrqwtvectbsGjRouDxR48exaZNmzAxMeEOah2AHCRSVeQpPSUnU1WWYM2J7fos\nITuOFwUx/xlDzV3rB48s7Xj1N/L1hl7aHyEfLdfh+S49/20W2eYdy/XaZ8+nGVKfXh1cjvUnE7mu\n9G/l6OLROpvIjslTwrnkuXr1atx888342te+BgDYtm0bLr30UgDAe9/7XjzyyCPo6OjAxRdfnPzR\nVq9ejR07duDCCy/MKz7iJES9Xsett96KnTt3olgs4uqrr8Y73/nOzHOUJEKmFZtjfKwiRFQ8/5nX\ngFQzn1WknWvn2NMrNfldycV7Aa0LiXjXyODr5ev21LnXHjW/VUl6faS/Sagv7biQQtTfZKbgNmjQ\nTld9KhQKye9jfaPPnLfrtxSnLOSS54c+9CHs27fPvcCBgQGMj49jYmICg4ODqe0TExMz64WIkwbN\nZhOTk5MolUqoVqv44Q9/iEOHDuHjH/94y7Hr16/HT3/6U5TL5SBZ8jZWFZpaxIvjsn/Rzjei5POB\n9DPKWXUq6RmRsu9TTW2dXaMk7s0Z99SgkoX2h0ekXkaAnsPK3ivfU6vsntDfxFPDXjl2TOiG4V0j\nq069Jg4YNZvNlBVivynf4Kxcsza6urpQq9WCbQBmETDiu9LExAQWLlyIBQsWoFQqJdtLpRIWLlyY\nWc5NN92Em2++eabVR8wDdHR04KyzzsLRo0dx5MgR7Ny5E4VCAcuXL8d5552XMuF37tyJXbt2tSgi\nG0C6yo6az/pi8lSfoZIum/Z5xAmkByTguwY82D72z9k12jVzm5hkNCjDfaNk6ClAz2TXOj3i43fd\nzmXloR2yZGh7vDZwGpiZ8nZTNDNdfz/777C1Yfsuv/zylnZcffXV7QWMGOeeey4ee+wxAMDDDz+M\nSy65BG9729uwadMm1Go1jI+PY/fu3Vi7dm1mOddccw127NiReq1fv36mzYk4AdHd3Y3f+73fw+WX\nX54MtD179uCWW27B7t27W47PMivNxLLVwS24w0SoKlKDB1YGR9SNBC2IxItFeAPW86V6QR8+hwnc\nFuTVue55gRYtRxWh+jz5FVLy9p4VNMozsZW8VdHn+UnbLV+38VRMI05ego7dLhx15zVZze1i0fn1\n69e3cNU111zTvvK0hn7961/Hddddh6mpKaxZswYf/vCHUSgU8IUvfAGf+9zn0Gg0cO2118ZgUUQm\nBgYGUCwWARy3ZoycHnjgATzyyCMoFAp45ZVX3MHrkYOatvYKBWM02MBreeog8yLIdqzC2x/yDdog\ntYV7mdTULLXPoWv2+ocJjK/NazNfn1e+mulaH6s186VqH6kZn+VX9Mxyz43B7bffiftI69A+5cCg\nuTds3nsW2iLPVatW4fbbbwcAvOlNb8Ktt97acswVV1yBK664op3iIiIAAKeeeirWrFmDQ4cOJUrh\nqaeewv79+7Ft27aWgeKZp4Cfz8jkpNFUVnNsxnMZofQhLdszOz2C9cx7AKmHloXyIpmwePpjyJxm\nhHyTeq6nkr1zrUzv+tWv6pEst8kjWE/V842EFay2w8u/Vaji1qcAeO6TEGKSfMQvDO95z3tw7rnn\n4tvf/jYOHDiA6elp/OQnP2kx99gP5xGGp6bY9Fblo2ZxaABqPVwfl+2ZwN7xHplOTU2hXC4ny+kZ\nmXvEpQpQU7C0DZ561PxTBt9QlBRDprsex23iNoSCW/o5ZMIzcXJ+Zp7Zz/8d/r2trGKxmBAnu2m8\n/4AikmdEEGNjY/jud7+LF154AYsWLcJVV12FN7/5zXNWfkdHB5YsWYIrrrgCDz74ILZt29ayDibg\nR2yVEDxfGh/LxMgDI+SbZLIKuQBUiTE8stRjTHWyuc7l8flMQrYwhkWF84iN+8cLXnE9ZvKGlKdn\nKvOx3sIg3u/nmf0MLzjIQR/9PbRMT5mz79UWibEcXjsnFCTzEMkzIohKpYJNmzZh27ZtOOWUU/DJ\nT35yTskTOBY8eve7343nn38ezz33XMsDuhie8goFkjzy0hQlPVaJM3S+d4wdpwht4wi+FzHnYzn6\nbr5ZW7Oy0Wi4y+TZ8RqsYXWpbfQUstcuvqlosEr9ngb+bTyEbox8g1RlyxaHp2q1HM7hVeLUG0Cz\n2Uz1pYdInhG5yPIhvV7QAcxRVE8hWptDhGnHW9lA6zPePbWpvlFVO9pmO07baNF1Xv1eA0EGXpXJ\nwKlTXV1d6OnpQU9PT8r0t37y8l6zbiDaP1YOk7ztNyVspKPuBK8PPHCfW32MLDNd1TGf491odUEZ\nJX9OacpCJM+ItpDn/5kLTE9PJ2kiIVO0UCikUk9UKfGxRpoWNQ0pKD7XU532bjOKQueoMlai4Xbx\nfHgetOqTbDQaqeR+bY+923qVpqhUcfb09KQeN6H9Gmp3yH3CrhB+BAn7GPV30/o8cP/zOeyL9X5v\naxe3Qa9Hb7RG+vy7qC88C5E8IzIR8te9VvWYzy0EHpyeSrOydEaPlsGfvVk/PFB1OibXwecp8XgJ\n6p77QMmTr4OVop7HbSsUCskyfZzszTNrisVi0hZe6cmgSo2vjZWn9g/7YbPyOPm7Is/94f0+rKQ9\nwuTfmm+I/N9QMrX+tX7NQiTPiEy8HsSpdanJZ/D8UyHiZFObydZTnqqKWFWZqtN50kye7EdkomT/\nmq7spJF69elZu+wZPEqeOu3TUKvVUCgUkokDpjq7u7vR29ubulZrgwaImIz4eUFquuv1mAuC/dZe\nGpj+n0JKMvS/s7rtRpG1PCETpvdf0psk962tSh9CJM+IXLxeBGp/XA3+AK0mI6s0T1V4/kiPbLMi\n8DwdUxcCUeXpKSdTeB6JWvv1PC2LfZfqvwvloZq/rlKppBQpl9Hb25vqB/X7aYoY7/PMcPvtrM36\nmGSuw7Msslww6tpghZvl8/b601PBfMPlPp2TJPmIiNdbfar5riabmpZ5ZqFXDx9v5TJx8pRMfvH5\nBs+3aZ/5XI6Mc+oQ+9+4jSH/I984vHQdG/yqFnU5Ni43lKaTpzyVPG2bRatDNzK9Vu+389qtqWx8\nflbqme3XNvN5rJSj2R4xa3R0dGDBggXo7e1Fo9HA6OgoSqVSsrbrXEMHZMgPxsqHVaftY9Nb4ZGM\nns8L6Rp58rx2DURYO7g8Ll9NQZs/bYTEzwhn897KDSWpM9mxP1LJlNtjhKr+Qc591PQf9eFaHSEz\nmVWcqlW+6fHv7f0WrNCVNNUkZxcK94GSIv8e7IbR8/U/5yGSZ0QQixYtwh/+4R/i9ttvxz333IPv\nfOc7uPLKK/HFL37xNasz5JcE0DKI1Gz3BomdpyYy0Do4eFCx4uQy1YT0TFNVOTrYTdEygTLBaq6m\nXQMTkRcNVuXlXSMfw203364XhOHP/MA0dReoUmZyMyXq+VXVqrDr9gJYwHFfbZ6i1PestQq0v72b\nlSKSZ0QQ3d3duPDCCzEyMoJKpYINGzbg5Zdffs3qU0WnJKqD0rbbNh6E3urgDM/U1wGoZBwyfT0F\nZW4He/eUmfnUjBhC/lqvbwzaNr4eVuG2Patf7Tu7FTjlSW8cXj+qu8VzDWhZ/JuG3BR5v5P+Zp67\nxQuycf+E3BYhRPKMyMV73vMenHXWWdixY8drVgebaJ7yNALS6C9DBzGbn1ZuXpCH97H5aYPMgj/a\n1hCJe2UCx1dxYoIKneNlC6g/2FOYqgqtLM4l1bK4/+w4nXHDbeU0qmazmcx+UvWcp9j5WO1P/U1D\nNzkjRy/Qp6v6a7s890g02yNOCNggDd312QRnVaVqwbYz4amPjgeRDlYv6srHasqRF+3V1CJuv4Fd\nCXotbJqzL1OJNaSOVXmqIrcbkB3P89E5PYlVsxfsYlXK/ar+0JDazVJ5SpqqMj3i9FwuIdL02uGp\n6CxE8oyYEbZs2YJ/+Zd/wcc+9jEsW7ZsTsvOM5eyBhr710KmrL1nDQo2zZW8uD6vXUxO+oRMNaGZ\niD3zFGh9KmYIHomoeaplM3nydejxqoxVOar5zsRmBOzd3PR38cxzr0zPRA+Z5t71Z/Wh109ZiOQZ\nMSNs2bIFBw8exGmnnYZLLrnkVRNoo9HAyy+/jJGREQC+b5K3Zw0y25bnB9T9nl/OSILVI5fvEZuR\npxBXSOwAACAASURBVD2aWB/ZYcfYOcViMTU/n4/x3BceuYVUl0cenjuEbybqDvH61sx0joKbSc+q\nGzhu3puStRcrUyVwrlcDf0qeIcL0LAsF/+Z6ne36PSN5RswIhUIBR44cwY033ogvfvGL+NKXvvSq\nyiuVSvjXf/1X7Nmzp0WVeGCFCaSj0NpOJQhVpRr48KbnGWFwPqCVq24GW2KuUqkkS83Zoh5KYh0d\nHajVasmCHramZJYv1z7bi59LzqTpKV7P1+cFSJhI7TsrYSYzdhOYL5j7j+vj62C/LbtA9JpD5Kmu\nFXWRcB/z/yVPTar/E0DmLKNInhFtYfHixfj0pz+N+++/H5s2bcLLL7+MI0eOvOpyp6enMTw8jHK5\n7PovDTyAWfXYPh1MShg6qNls9cjaS2/izzq7ZXr62LNzyuUyyuVyQp4hn5u1v1arJVMpeRaSls/X\noKTJ9XjEaW33fH2a82n1eMETbpf2r/VJV1dXcsOwcqx/9BxvUWOGXkeIOEPKUftc+8NTp+24SZL2\n5x4REYFjOZ9f+MIXMDQ0hE2bNs1JmUeOHMGOHTtQrVZdVaDEpf5CDdYoSbGSVXPOttt0UB0sTM4G\nO5/zTYHjxFmtVlEulzE5Oek+adPguQeq1WqymIcRqDebptFoJOqWk/mzyMTq5LqVQL16uF+sXA4O\naZ/Z78K/hd7AFF1dxymIfxv9TZk88/yaHvnZf4D/F6qgPddQFiJ5RswK7f7BsvCzn/0Md955JyqV\nSsvAUahqsDZwLqUNRB5oOhBDAQx7sYJjgrX6jECM4MzHOTk5icnJSVQqleR5RCEVzMqICbBarSZE\nZuVbfUxirDa1vZ6C03rVZOc+VBXq+T/tukwp8/VwEMlWbuJtngrn873fWX/PdojTI092EdhNkG8C\nSqB5Zn4kz4hZY+PGjfi7v/s7fOYzn8HSpUtnfP7k5CQmJiZc5aMmmA4wngse8u3pdm9gGrJUB28z\nwjBSMVN9YmICk5OTqUcHh8rQa2SFbC9OiVL3QEhlhojT61Ouj4lTSdUjFH3UhvfYFDXh9Te0m4Cd\nz/5P7Rclbu935v9KKF/TyNLrA9vPfeYpZUYkz4gZw/5w27ZtQ61Ww6//+q/PiDwbjQZ27tyJAwcO\nuKYlkwnQmh7DA8n+5JrTlzXgPFNSBz8PPlW3prZs5aJSqZSozlCAKA/qg9NFKZh02NzU6wmVrUoq\nFAFX8tSJAKFglmYf2HH823B5HjF5if9ZgS+F3mhD18+fOeDonZOFSJ4RMwL7yEwVzRT1eh233XYb\nduzYkSIvG2BqltvDzjxVBCDxN/IgsUHHSeEGVlleakuhUEgtkMFEbc+9sWetT0xMYGJiAuVyuUVx\nKiHmDUZViFpOHklmwVNq/NkjUVWMQHqSgp3Hs4pYzfH/hPvG84s2m82U/5PbFrrukDtEYW32FLgm\n+tt+z6eriOQZMSO8733vQ61Ww7333ovh4eFZldFsNlEqlVCpVFqWRuPBZH9ufUokk2ez2UR3dzea\nzWbiY9MIt5pjPIg8f5tnGqpqqtVqGBsbw8TERMpU9wY0v3t94X32jgn54dopO6t83s/94d2olMi1\nTUq0ptatX01R828S2s71aUoS15933aF2M8FzFoEq+xAieUbMCEuWLMGqVatSTx5sF88++yyGhoZQ\nr9cxPj6eSmUBWn2AQJooQ0RkisXzBaoaUdNMSdECL3ys+fnsuKmpKZRKJYyPjydpSR5xem3Va9XP\nM8FM+1/rCxGgEqfuU1cHp4xp7isTKN/cbB+AFFmpe4brbcd891wUer613Ut74+uK5Bkxp7jvvvvw\nz//8z7kLxXr4/ve/j61btwJAykQ3EvVSjWywqdq0/SE/l0e6XC4fw6vSs/K072z2T09PY2JiAiMj\nI5iYmEilCVmZeaSWZ4K3S6aqoEP7vbpnSj4K9ZkC6YkLHJxh9anPTlITns+fLbwbGKtW9enqGqp2\nLXEl+Yg5heUy2tTFAwcO4Nvf/jY+/elP44Mf/KB7ztatW3H77bfjueeew+TkZDKYvBk1TEJqqgHp\n1BmDkTArCC+BXj+bn41zKg2e79RMdSNOIwIlTk816ee5IM+s40Nkqi6KkIlrx1lfsaK0c5hArf+4\nb9XNYkRpjzLxflO9AYb6wvMP641Vr4l/J71p6n/Ne0CeIpJnxIxhd+9ms4mxsTE88MADuOiii4Lk\n+fLLL2Pjxo0AWqObPJiZiPQRslmD3AiOzUwb+JYTaXmRtt3q4Vk9OrOHXQC1Wg2lUgnDw8MolUpJ\nLqeShLbP3vPIlNGuOZ5FxJ4a5XYqiXrt4huIp+5ZlXOZnPqkatJcLPwsei6TCcsjyBA8vzm30yNO\nnZrLObP2v8lCJM+IGYEHE9D+Igp2HE8/BNL+ro6O48uh6SN0AX+xWiYAVks2C6dcLqNSqSTkye3h\nAW1KOKRGSqVSkpJkgyp07SH/3Fz4OT3kKUjP56t5lVltsz7VdCS+SfFN0QiIyZJ/ezvXe/wIk6c3\n80uh/tVQHqh91yduMlkaofMCK1nug0ieETOGBnpmAlUyts3Kte8a/AmZwrbfZugYWVar1dQsHCYS\nPdf8W16yt5lw5XI5VSb7TfX6PL+pR0jtKsZXA22n9oGn2LICLnwsK00zxdn1YX1vaV/mJjEiBY7N\nQmK1CrSqT+0rL10qy7dt56i7iK0TWwXL/nP2/4vkGTGnYAKciYLyFJkOWC6PF7VlE4tJ1/7ktVot\nNUXSfFbqE9O28D4ODNlgbDQaCSHXajXXp6dlekn5IQL1voeIOQvtBKmUoDSSrgGoUPvsXD4+ZG7z\nTdDAKp990XpuyKURuiFwO/UYDQ7ZdbBbh8kzVD8jkmfEjMCmmSHrT6ZLuYV8UZ6Ja39s71GzNvDt\nmGq1isnJySRtSM1Sb1B4ph0PtmazmVKdpq5CKiePOGdqtrd7Y2rXdcLt4ST4rHJD5xtUxZn6ZJ8x\nm+dWrv0+GmSy/Xnk5bkiVPFbv4RyOY001SceujkqInlGzAgf/ehHMTg4iH/6p3/C4cOHc4//3ve+\nhwceeCBRj0omqg6BtD+SSZC/82pC1Wo1mRrJZrqSmJqoXJ8OFHMDVKvVhJAVIVeCwiOCmRCeBw1S\nqWrk9niBI1VqIaIMQfuD1ZzXhnq9njL3bcZYT09PStFbGeo+ySJTPo+Jz/sP8aLRZq6Hlg7MQyTP\niBnhrW99K6anp/Fv//ZvAICFCxfi7W9/O9atW+cev3PnTjz//PMpP1XIbAeQREH1IWs8GIC0SWjK\n01MPWYPO839auUaenABv5/C7tcWrI6v+kJ+uXXjt0O9e2Xn7bXvIdDd4pjqfp2WzhWH7jUDND2p5\nleoe4G0hqH+c/y9qgfA6qPq4lJkgkmfErGB/ztNPPx3XXXcd3vSmN6X21+v1ZM1JoDVyqoPPjrF5\n7PZic8temrPJA8Ez/fIGhpVnaoQjr1mK0TPNQ1BTcibkmXfMq/WNtruNwX0LtOZq2v+Dj+X0JP49\nzQeqQTYtm9vmuVx46UBNfrf/imVieD7OmSKSZ8SswH4rD08//TT+8R//EXv27AGQXjzX8ylxeV1d\nXejp6UkUiao+HiwTExMpkmb/Zpbzn0mVB1ZewEDbMJOBl2cah/oydEw7pKnnZqnwrG0hH69nUqv5\nbeezD7RarSbbjeR6enpSC0hbWVlRb/792Fy3aD5Hzo04lTT1ph7qD0Ukz4gZ4cknn8SPf/xjlEql\nTOU0PDycLFmn+YGe6lIflSata0Kzqc1yuZyKrHtEqAqXj1WybcfMno1K8chH97UTpGjnGC3POyfv\nGtq5Ti5TE+mZ9FSt87THQuHYg/DMyjDwhIaQO8B+Lza7+T/Ev6u36j5fp9dPef0cyTNiRnjggQfw\nve99L5VMHgI/RoL9T+rIB1qTt02R6NRJJk5+QqVGdnlg6VJxTJIh3yiThw3KLD9nFtF4Zqa962D1\n3AShMu095Pf00n+8d/0cUvuh/dpP9tm2a1qT/S6W48n/Bb1J8m+js9L0pgcg9V/xyDNPcfI1RvKM\nmFN4RJgFUySNRqPlOeWad2fH2cBSxcFkWKvVUKvVUiYiR9t14ISS1j3SVHCgKuQjU+LzCM2rKzSA\ns9qhyj1EnnnX69008m4KWTcCr34vS4GJsdFopExs9nPzTB9WoVwOEyFbK2qFeEEhrx9m4j+O5Bkx\nK9gfbXR0FHfccQc+9KEP4e1vfzsA4KGHHsL69etT0VM11zmq7qlNJmWPII08mcyUMLN8mFnqT9Fu\nxDeLQL2BmTdQlSz1exY8ZeWRhUegWdeat53N96yyeZv5P+234llAFpEPpZ+xumXTXxWnrreq5TA8\nt5KHSJ4RM8KCBQuwdOnSZD3Ow4cP47bbbsPChQtx3nnnYWhoCHfffTc2bNjQopI0am5z19lk6+np\nSepS097UB88K0eCQqg0OPig8P5r6C63d7QaGPDOXt+edx+/q99VULe+d2x6qA0inDmUF1bxryUKI\nKNnsZqIFjj8b3X5fXtOAfd6eH5tvurbGrP7+qjzzyFP7KoRInhEzwsc//nGsWLECf/M3f4PDhw+n\nnPzbt2/HX//1X+Oll15qWcJM/6xMTIVCIUWkfIx9NtVpC35wWhITgBdpD4HVrfoQuX4NeBhCieK6\nja89dIz2hxKmKvGQcmxHHfO123UqsXDb2ymXESJhjZobWXIf8O84NTWV/C9C5nizefxppuwL9QJE\nnhshZIG0g0ieETPCqaeeinPOOQc9PT2pQb9582a89NJL+PnPf57MJgFaU1o00s0Di31aSgycf2lT\nJZUwOSVFg0SewgyZ0XlBGmtf1n7vWM+kb4c4GV5mwGwIjusG0k+W5HarCd5uPfybax94fktz8di1\n8apHZsqzCrf2m6K1spg0vefZt9P+vP+BIZJnxIzR09OD0047Lflzj4yM4KmnnkoRAOAHH+zlEYD5\ny3g2kg1oG2A2m4gX1A0RKA8CJSNVkzwIbb/68RRZZBg6lgnJeylx8k3H6zPP3GZ4wSPdb7+j+Rb1\nXO4PLwDkHe/Vxdu4v1hpsnK01Zjq9XqybCD7yFmJWtkWbOQpl166Wt41RLM94jXBGWecgeuuuw61\nWg27du3C3/7t32JkZARAdrRWidNerGzMVON58OrH5JkqXp3mA2N/GA86Oyakjm2/Dkz+7JmmHjF5\ng1G3h8x0JU5v6qmWHUIWoYcINES0IdJWVcn9yeXpjUrrsmu39nR0dKBer6d85fb76tqqTJ5esDDL\nquBXO4jkGTFjFItFrFmzBsCxB8INDQ3hwQcfxM6dO4O+IzXP7DjOBQXQQhyqTLPmrltgwQYmJ9vn\nkae980sXGQnNqGLiDQ0+jzzzFKeCFXCeC6FdsOK3dlhdWcrW8wF70HbqTUrBM4XsXfuELQi1MPhG\nq+3LIsUsN04IkTwjXhVOPfVUfPnLX8b+/fuxffv2hGS8/E8ekDZgjThZKSp5AmghMwMPSEtXAdLE\nyQSdpy6YpM13ywpZz8/z6QFh4tQULc2dVTIPEWcWGbWDkCvBM3f5utslUK8fvDYYdFYRB5q0f9Wl\n4lkh+ntrf81GdQKRPCPmCOx/BNImHh/Df27zYbIZxgECBpvtVr696+NuC4VCy6pMfI7BI3g7hges\n+c5UtVp77dryoKTJhM6Pq7D67YbBNwftx3aUX5a/06BkEsqz5fNCVoaWPxu3gl279Q9fg85C0jax\nJZLlrrDzInlG/MLBf3iDN0DZj8ff1fwOEa8SdEhJAH46EQ/IUFuN3PgREhYF5jbpwGaC8dwEOjtL\nc2FDatPKCBGhtj+EdpSx14+ews1TvO2qYk/BZvlTvf+CvocIUS0aPlbVbd7suUieEXOC008/HatW\nrcKLL77YlgrTgWKka4rPHm3MAyYUNQ2pBlXCQGt+o6ewuDwjTzPlLbDCpKAD0q5BzWGPOL0ZQzNR\nlXwteWjHtcDH5BH0bEz3rHbllcP9G+oj/p3z+sRcTHae/qZ5iOQZMSe48sorcfrpp+Nb3/oWKpUK\ngOzpiWwSc3qMpauYwuPIq6rVkFnLdVo7bL+Vq4qQVSOrvkLh2KK97AdlHyhHqUMzdTTg4alOrpfL\nCZGTp5x5u34OwaufP2sfct/qfq+dHrxj8og6lNzuqWHP5+5d40zcCh4ieUbMCQYHB7F48eIWP6NB\n/+RGEpp6ZPOceVFkPj5rhohO2VOCBFoDDHyMqV1tt6XHcO4ht4XTd7gtHvlo32QRJ19fO0SoZbYD\njzC5HM/tEqqvXQXM53iuCm2fnhcyqT3rI7TN+8xuI50G6yGSZ8ScQiPGDCUATl0yArLVlGyess40\n4bK8MgF/EIdMPI/sQ/4wS9LWGUxsKqp61TZrEM1r42xN4CziylKJHmnqcUrmofq1773fwVP97RCo\nZ5KHlHFom7c/RP55N6xInhFzCiZOVWS2H0gTBROO/WFNkfKcZTaTPd+U57/06uIIrUXlNRBk5anP\nkqcI6gDm4BUvuaYD0HJOFa8FcXrkpKTiKXYmDo/csuozZGUz8PeQO0D/F0p2XJ66Kzxi9G4grwaR\nPCNeF4Tu4kYu/Gc24uzp6ck15TzF4ikre9ecTSV2PlZTZbzBGTIr7dqMADjZngnVW1Q61Fcz8St6\nfcX9peWxqtPUL213yLerbQ3liGa1j7fxTVP7XFVulnsk1Jd8o+fzQ3nKikieEXMKb4DkmU8G/iMr\ncWUNBM/cUyK0d1WCnprhMrksT0WGrp1Vq06vZPLp7u5O1LWWEzKrZwstR29aRhr61FIlTp15lUWA\nus1TntrPut/eVUkqmBC9iRZemVnn5/V5JM+I1xQh/5emDIX8T6FBo8ohK30lpE5ZoXhKSc9hAvSu\nSa/bM491IRNvUoBnauqNoF14JrfWwS4JnlzASfzcfpvc4K1YFOoTbX+WCZ5FjLpNvzPxZ918vLrs\nfPazZyGSZ8ScYe3atfjqV7+Ku+66C9u2bUspjdAfnweRDV42E0Mze9jMBPLNP33XFet1EQnPVA2t\nSu5dH29nEmI/nmUZTE9Ppxb+1XJmSpx5ak6P1Xn1XvK+9TX/VrpqUVY93n9BXQN8vR7Zem3nz+qP\n1jbxjUKtmkIh7f/O6zcgkmfEHGL58uX46Ec/ikcffTQhTyA/SMDE2dPT05LPaceoOdVsNpPvHJzK\n+9NzRoCapd4rtCq5Qq+J28E+ODtXVag3pZTr8czemShR72aipmpW8j4fa7OtlDzz2mPnK6nZtTLh\ntVseK+es6bieeuU28ToIXl8rInlGvK7I+gMbefDiHmrqm+Kxc2w74OdwhupTZen5A5nYQo90yLs+\nK4OvQcvn43gFKD6Or1e3e9cW2pZHnJ6617r5OjT7IcvU5XJD7oTQtYWUNFsR+vQC79yQC2imqhOI\n5BnxGiHkW8vab0noaoLZcWr6qoL0kvN5UCuReQOMCdVbmV5zOxkh0rE2a5Rf80K95e9URc3U5+lB\n+4zJh4nb+71CZRn4c5ap7ZEn5/PqjU1dEVlKOeTftM/cBsvf5WdphdquiOQZMee44IILcODAgWSJ\nuhCyfJIasFBTThWU+sm8V0gt6jGqMD2zVNWPZyLacarymAy07UagSgpcZrtQVcdKnV9Gmry61UwQ\nukHmleP9buwWUIVqx2SRZkjR6v/FwNeu/7Notke87vjMZz6DFStW4IYbbkCtVsv8EzIZqnLkpcf4\nWD5XoVFszwTkgcTH6vNvQoEQjzjZzNZk/dAA9tS3XQOfx77Z2RCS7g8Rp6ZMeX0WQkjFt3OO1y/s\nT2Ui5PZ77pE8c13dQJYqpr9ZyN3DiOQZ8ZpCTeUQETQax59hA6AlQs0DzPyemmuog00HDSs/S7nR\npyxyBFxNR6vfrsu+60C2NnomKp+b1WfWJ0woWl7o3Kx6uB+MOO3plB5hhG5Y3va5cClYG4H0f4Xr\n1t8gpDY98uTtZrKr6mwXkTwjXhOcfvrp+MAHPoDNmzfj4MGDKZ8W0GqqN5vNZJ67p4BUnRrZespE\n1YkOHH72O7+rCs0jPSVQ++ypIy1DB7t3vUDr43pD9Xv78tSn5nXmtVPLzrMCZgPPhZPVh9oeVe9a\nBl8/3zjUF97OzaAt8ty6dSv+4i/+Arfeeiu2bduGr3zlK1i9ejUA4HOf+xw+8pGP4Ac/+AHuuOMO\ndHV14Q/+4A/wvve9r52iI+YpzjnnHFx//fX4oz/6I7zyyituoMUGMHD8D2skxorT9nEAiVUiDxIm\nBPWF2cPBarUaarVaQpoaQbdjPfL0EuntWlThMonysdxeTyWHBu1s1JFegypPTs0JkZBeK5fbbhuy\noOa3Z2LbcR5pe+Z6SHUaurq60Nvb6/o622kz0AZ53nLLLbj77rsxMDAAAHj22WfxpS99CV/60peS\nY4aGhnDrrbfirrvuQrVaxWc/+1m8613vQk9PT24DIuY/TMmZigqpCza97RydZscmHa/N6akoACmV\nyY8tZr+mFxjKCxJ518iDVK9N93nE4EW5ud6QyRxCntmufcvZBF696qdVNRdyK+QpOW87/9bq3gmZ\n5aF262dTnMViMZVyxXXOCXmuXr0aN998M772ta8BAJ555hm88MILWL9+PVavXo0/+ZM/wVNPPYWL\nL744WX9x9erV2LFjBy688MLcBkTMb1x22WUYGxvDo48+mgw+JVDNaazX66hWqylnPpvttqYmcHyF\nIttudTBpmsq0d42mh6LqqmDyoATRDpHydgC5BKrbQu0KEae2A2idXRUqp50y7XOIPNshfia/kMnO\ndXvwVLq1UfM57X+lN0pepNtDLnl+6EMfwr59+5LvF110Ea688kqcd955+Id/+AfcfPPNOPfcczE4\nOJgcMzAwgImJibyiI04CfOpTn0JfXx8effTRREkCxwNCXlBgamoqWY3ejrU/uakGI2EgbTIbKVar\nVdRqNVSr1URteqTJn73B7fkzrZ0Mj2S8Y0JmJKtlb4ZLnkmf1xYtx0vW944NlR9ShrrNc1Fwbmvo\nBmDbQ4Tr9aHCu3lxCpwtPqMqHGjvMR4zDhh98IMfTIjygx/8IL71rW/h0ksvRalUSo4plUpYuHDh\nTIuOmMfQBHP1BwJphcLRbkVnZ2dquTojPyZLI0wz17256ern9PyVoUGqg5kJwSMO73w+jv272k/e\nue36G2cD7Y88RWpt5XM9FwOraz3GuzGFrlFvAKH2629r5+r6rdqGrN+dMWPyvOqqq/Cnf/qneNvb\n3oaNGzfiggsuwNve9jb81V/9VfLn3b17N9auXZtZzk033YSbb755ptVHnKBgUshSckacHR0dqNfr\nLWa+7de8TPNnWjCoVqulyNKbWskDODRF0buOkKLkd7u+vD7x+scz671z8tAO6YVUqloDCiUarVPV\nJV+Hp6D5mBBph9wOWn7o5qLz37NIkrdffvnlLfuvvvrq9snTCrrhhhtwww03oKurCytWrMA3v/lN\nDAwM4Atf+AI+97nPodFo4Nprr80NFl1zzTW45pprUtv27dvnNjTixMbAwADOOOMMHDx4EJVKJUgG\nTGhTU1MpE4vNTCbNarXqBoOyTHQdqDaIsnId7T00S4nhmfYz8ZmGTEevXo+oQ8Sn21T9emV5x2YR\nZ9Y02BAJ634r21PzWTc27Reuz/5L9ngXricP69evx6pVq1rb3nwt9f8MYeQZamzEiYnx8XHs27cP\n3/zmN/H444+jq6sLfX196O3tRU9PT2LG6ZRITwVacjsrTg4OMWmySa+kx+V6Ss9TNzrjKGsAh3yj\nCh3grI44EMbBMH6pCVsopGdN6XUbgRSLxZQKC82m0mvyiDMUbNPryyK9kOtEy7BjdL/eCGzChZXX\n2dmJYrGI/v7+VBkMXeCkVqthYmIiyEcxST7iNcfg4CDOPfdc9Pf3t6QisbrgwI0NBI2Eh2YG2XE6\nrdJTi1mkFzLp2KT2CFTLZDM+r05Vwop2VWs7dSj5ch3qi9Q2eCY1/y5aF9D6HKMQIepnvXnyNVq9\nmmrlKVhtO1+jpj3xb9yOpozkGfG6gf2ZukqR7bOnZ9rK6qYAQqa4NzPI87cpPLJjn6cGs9iUZAJV\nQuGyPeJUgvQGPB+TZ6Lm+QRD/kUjH70Gngqr/eOpcL0xhfJ4s8jIa5+6LrJUqLc91Cd68whN6fXa\npYjkGfG6wZQhr0IOIGVi12o1NBrH17W0IKSnQL0XKxdDFoGqiayq0wYcEyeX6yk4JUuGlwITOl8/\nh8CKzHNHqHnLNzFVhiEfICs+dovYPi/YpmpY+4rP55uSXlueqtbyvLbbNEybAszEaf8t/e0jeUa8\nocB3fFaa9plVJUfMvdk/+ucP+e2M/NR8Ux9jHvGoIuGB3s7g5vbwOVnvecqTy1TSZiJUk5T7keti\nhJQmZ00ocYb6QtvGRM+WApvV3E8hAm3nRpTVPlWi/F/x0uQYkTwjXnfYYKzX64n6s8i5kqC+s3Ly\n1KgOOntXwvRefE4oSVpJyatPr9Uz07k8bqNX30z6VU1Pbq/XFk0f8+r1gm76vKBQ27N8qNYeJitu\nkxKh3sBCZK1uBK+NVi9PjtDzo/KMeMOA/8Bmopv5aGSqjn8eIEaQvKAHB5m8ukIRbCYVL6qv70qS\n7ZrUWdDy7LNXTxYBh0xhPs9mLXnXlHVt7Gu27d7D8/KIJuSTVHNZA4iqBkNmPJOugf8D2jce1NLI\nQyTPiNcN9gc38uM/t+3TlczZx8YpSt50ypBZrqZb1ouRpWh0fx6BhhQY72+XjL0Bzq4EXjCFzWDv\n+kJ1ef5A7+F0ns/Xa2seVIUaWfO1tev71PpDVoT3e+QRLCOSZ8TrBja3GaEItx3P0yyNOBmeeR4i\nxqxjPKgSVB+hZ/Z6ZWk6Tzvw2qZmazsEGmpT6NpD/k1eTMPLaJitEteAl9VnbWkHWXXqDZl9vqEb\nYt7NDojkGfE6otlsJqa5fTcis2ioDXpWm7z2JpMXkCYtb840Dz6eQaRBBDveM23tu7kXdJBnLIK7\nxAAAIABJREFUEZx9t5eq5ZDSaVd9ctv5GiwVyVNdTFRs1nKfaQSak/RDZnqWAs2DnstpVN615930\nDHxD1v8FZw1oee2QdiTPiNcNTBw2QGyRDyNPU5umNDnHM+QL9IiIVRAv+qvmPLdL1ZQSC4CWVcet\nDu+zmst2rtYX6qsQ6WWdA8DtK21faOqnkqMSSii4osreq5uPz2q/nWsE6iGPONnPbcfrDYbLmY1L\nIJJnxOsG+0NbAMCWl7MpmhY00tXeNSXIIwQdDBwo4kfqhlSgkpkpN3u3sgE/+GIIqS8mrZnOZOHr\n4jpCfjy7FnVR2H5PbXpqmOvVY/LaGPp9uE5vv6pAi4jPBJ5rhuvxfiPvRpKHSJ4Rrxs6OjqSBWNs\nrnFvb29izht58pJy9kfO8ynyQFGlyYvfmp/SS20CWiPBaj56JGafQwTE7Q4RDJeTZ5YqEXqfTcE3\nm81khX0P2l61DmbiA9T2KUF7dXr1MPGrdZFV30zaFvJ18vfo84x43fG9730PDz74YEJkwLE/65NP\nPgkA6O7uTp4fw2Z6tVpFpVJJUpiAMMHoPquLyZIJNMv0zBp8PJizjlGETGI1E/N8h1aWEq6qKI2q\nM4GyYuY6lEhUiWcRil5Tu/BuMCFi1Wtul7y1zVo/X4v6Q/m8vOuK5BkxJ9iyZQt27doFAPj3f/93\nPPzww4nS5MhvT09P4uMEkASEjDhtKmaemcefjTDNNFf/pkecHgEz8XjEoseHEDomZC6G2mPneD46\nrY+j4nqD4BtRyPRX4mwHIZLV6/DI2aubz1F3SdbNxqvb6yetJ++3jOQZ8ZrClNltt92Gv//7v08U\noPkyeQk0u9P39PQk+Zq1Wg2VSiVFnECaEBQ8OIw0zTT11CbgE6deh5afZYJrO7ztXt2238oNEY/W\nz+o3pEQ1Cq7uCesvO1Z9uVnXOlPSYheJ1+ehfrO69GYxU+L02q5uAr1xaTnRbI94TfH888/jO9/5\nDjZs2JA8sM0Irbu7O6UEjQx55fdyuZxE1NsxAZksmDjtpUECIx7OWcxSgPbZIyg9PquNPEi9RUW0\nzhDaVXcAWgJcfD6AZI1LfqheqO18fla7+LyZmO/edWT1Rzv/i9CiJkCr6uXzPPXfDlFH8oyYNZ58\n8knce++9uO+++zA2NoZisZhSgJYbqAtUcFCIV0xi5AUIjJQtxYmJ0863ly4Ykkd8SgRZJNpOW7lc\nb/AqWYXM1JDS9dqoxK0+0JDq+0Xh1dQ/F8Q9G0TyjJgxGo0GyuUy7rjjDtx0003o7u5GX19f8hxs\nM5ubzWby2QjMVKcpTvVvZvncjAzsnc31UN6mZy57A4aVoh4TOj4EjwyVPPWz1xbP35pH2qxyORjC\nfRJajs67jrwbzkx8pB6yTHd7D/XPq6kvy42QpfYZkTwjZox9+/bhz/7sz7Bhw4bkkRr9/f1JGpJO\nreNV3s1c5+Xn1KTO8gOquZ5lpmt57fow7RiPtNoZtEp8rAK57BBB8mcjwqyl4xh5/kWdThoi0FdD\niDMtK+SjbPf4PKi/O091228VfZ4Rc4onnngC//Vf/4Wf/OQnOHLkCPr6+jAwMJCoTl7wQx++xrOG\nQmtw5vkgvbxNz1SfbRDAjsua95y3Tbfrdagp7gU07Dv740J+06zr8PrIfpOQe4Lb/WpU3kwQUoQz\nOT/r9836X3D9M0Ekz4i2MD09jdHRUdx1113467/+6yRX01SnzQQxk7DZbLasgqRLybFCVF8d4M82\n8VZHsmPZVA8hNMBCxMgDrtlstijdvEHXDolzPXbNnLfJxJmlyrOuWUmayTO06pAdGyLQuVSnoba+\nWrTrXtE2tINInhFtYWhoCN/85jfx8MMPJz5Oe/qlPrWyVqsl5GkD33tYW0iRtZOi5Pn/QmkxXh16\nTMicYxVqn70Vi7J8aV4dobpUPev1eOWHfKIe2Hz36ghdi/ZPnq/TU7SeXznP7+pdZx6835inxXpt\n9OrL68tInhG5eOKJJ3DPPffgoYcewoEDB1LRbSZGXglcVU6IOA3eH16J0kuAB/JzOBk2CD31p8fZ\nNm/2TrvKU8v0PoeCInlz+kPntgtT/npNirw62nFvKELkpO6bduBZId4xOk8+qy8jeUa04MiRI5iY\nmMg9bnBwEIsWLcLQ0BDuuece/OVf/mVqsY1CoZDyYyphAkiO8Z5DxAgpHM9kV+K0c2Zi5imBeoNE\nFZH6JT0llleffeZ3bYcqXauLE9q9ge0pM3U76PXY75G1YHI7xNmu2p8JvH5q53ivfaHjQ+Td7o0x\nkudJhu9+97u4//77M49pNBr42Mc+hquuugo33HADHnzwwRbibDabibnOQSL213GgSB+xAbQSCEMX\nAtEgEfsB8waWNyBmOqhDZqhXx0zKU+IMme+cfhQiT93O7fQITtWtXpN37mz6TW9S7Z6v1zNTEtYb\nHbsJvD40VdpuPZE8TxLs3bsX//mf/4n/+Z//wTPPPJMaBLqIcKPRQFdXF0qlEjZs2ICDBw+25FHa\nbBUO+HAqDq8A781VV4QIzntl+QB1mw7YkOmc1S7PJzgTAg2pTgUPcE/JKxFom/SG4xFPiERDylPr\nzesnT83/v/auNcTK62o/M87FxAuhP/qrYItIMaQRpPaSUimEtP6QXmjFJH5aaIQiJG3xRzGJxiSk\nxNRCoTE0CSWBSGmqUUhtaWIQjJBpGaeiU6M1xdwaM0aNdjJnnJkzl/P9KOu4znPW2nu/Z0bPqPuB\nYc55331Z+/bsZ+39vvsUIU1P+VrLOZy2FZfTDpEnt1PM3kye1zCGhoZw6tQpjI2NoaenB7/61a8w\nODjoEpLuPL29vThy5AgA1HQ4IUbtWupdcIs4ee3OgzXoLLKKDRIdziKKVIWoVZ+2JzWuBU9xCvhV\nTiZQ65pW+zodrjePOIsiddJplECttDh/S2V77a3ByzE6DX1OawoyeV7DeOutt3D//ffj3LlzGBoa\nwvDwsDlrW7uQuiPq/9bA0a68kKbeQGJYg4HzDrmf/NmDdV/W+CRN78zJkK0WmYfq1FKOEpZfKNB5\nyGerzEymHhHHVHqj8MjKCzuVeafCqi9LjXseQWySyOR5jWLv3r3YtWsXjh49ilKpVPNaI+APRIYV\nxnOd9QPxWp2GyJKvMznxM50pA9FLX9tpPdsYUnteupbLzOt7VrrWhKG/a+LzXHiLCKxyePXA3y1X\nOAVa1WoST/UWUkirUZdfvxBgnSKl7Sta7kye1xBOnz6Nvr4+AMCuXbuwc+fOGrfaI4dUdcLrbXpQ\nWMTpvTlkwSJOTUxFXWZNshbJhNz3lpb64/As++S63v0vQlhcTquuUtSwla5XvtiEkFrHnGYRcvMm\nZC//ENFaeXB/lhc35Hto061IeTJ5XkN46aWX8OyzzwIA+vv761QR/0YPUN9RPNUkkB13ns31u+u8\nJsqqkfNkEtHXiwzmIkRgudBcB5rMLOIsAomb8quMbKP+zDZpe61y6Gtc50XKUtTtZltTJhWPOL1y\ne9CThy67PidA/1KrFT8FmTyvAZw7dw7bt2/Hn//8Z/znP/8xBzu7VjwwvQ6jZ2zd4fTsbT0oD9ju\nkUWcnqIrSpwpg8r6zDY2mj6nYSn6EJFMxjbPxlh5Uspk9Y8Y0YXSDSlQy3aLOGMTo/6szzgV27zD\noEP2MDJ5XuU4deoUurq68Pzzz+P999+vcSGZOEOv5PF/+Sy/MySPL0l6ujPyO+shd1mD3XK+7n23\n0onBI05WmbEBnUJ+HN9ylYusJ1o2pFzzJkftMfAEa6XB9z2Va6nkIqTr2c92htKybNeqE0Adkcbs\n8JDJ8yrHn/70J2zZsgWffPJJ3T3u0NY6pDWQ9KNHmjwlHQk7MTFRd0oS5y+wyMsiSY2iajIFnipn\nu3VZQgdneIOaiaSRJQWvzSwbrDTEdiu8dbiKVaaUZQbPm/HA5Gud8G/FSVXKUv9c9zp9q15SlbMg\nk+dVjsHBQVy4cKFuUwhAEnFqsmQlqNMTspTPlcqlU5P0QLUGj6RrKSEmM71WFVMbKW44x/VIsxGX\nOJZXTH16cfTgD6VvIaT6W1pqf5bZaoMieWmbJR/5HHKLi6Svw6TWPxMg9yfvdK6U/qCRyfMqxcjI\nCHp7e3Hy5MmomtLkCdQqTP7BNEsVWG6+3lnnAespTu9eTP1YbmJR4vRs0Nc8xVE0/VQbQgTKdhVx\nJzkfAZ8PkEpaoXuaeNjOkMvPYVLXSS1Yypdt1ILAK38R9Qxk8rxqcf78eWzatAkHDx6suc4NrhWn\nVnWtra01P9im14Gs0911XNkg0o8kCTyFwB075jLyfU8hpMCbVKzvRdNNQYg4rLRkQmqEND1ysg5W\n8epE1znbEXpszCJPa13RCt/oBKWXN/S76ZbCZLWp87VEQibPaxTyO0Kjo6M1Lhjgu+t65pXfTtdx\nrQ0ldvMrlYr5ILy1hsYnn3tKy1KY+jMPdI8gLEzGZbTIuxFwHXiDUq+1em0QS5vTZ1c99fzMELw2\n0P9lktWqsshEkOq9aPLU4TVxWoTvkbiu89h6bybPqxihAa07gFYNsgkkv6nO6sJz0+VPn83pPctp\nDZTY4LFI1lOnXnktFevlk7oGORmy8ZYHrGvW4PVI01vGsMJZv2U/lcsQTEiaKPW6ZxFw2S1vwaov\nCZ9CnLofZPK8DqEb2Drfkl0tGUTt7e1ob2+vC6vJ01KUEl4IVKvZVAUXUx/eYGuUQHVcT314hMIk\nlbLsYNlkfZY0mCRCE4C+z3mzjdLecmi1dQbqZBBaiuC+l7q+GsonlAeXObYZFBMc2mMLIZPnVYhX\nX30VzzzzDE6ePGm61RpyXatNedBdrxVZnV6noUkz9jtBnLfkZZGP/s73LILicqYQprfrm7qk4Knm\nqVBwrPxjBGvViY7DE+Vk1KYVxyN4i8ykz/A5sBwuhpDy1PXBk4TYaf1wHitNa7kkhkye0wjd3d14\n99133fsdHR247bbb8O9//xt/+ctfqp2SwWpGu+p6IFm/XgnUPkQs/623iIoMyJAbKvAI1Lqv7fPA\nh6FIGpbt3qTj2TlVrq/nfnq2cr3o+5o8poo4rYkqte315FzUffcmLLbPesTOI2lW59rD4jAp5cvk\n2STIrKzx29/+Fn/4wx8wPj5eJUX5XKlUMGfOHLz44ovVtSTLDbM6gn4kSatI640gPpdT28q769xh\ndf6ps7e2k6/FlKGXDisRT3HGBmfIXU9FiGis5RLLRm+JgNvNUptMJJx+DJbS1/Elb6vNmTx5Y1PX\nAafJZbRs0v0PuESkKX1Pu+YSXsaT7jflctlNI5Nnk3D8+HE88cQT+OSTT6qN39vbW3W5tOshnXN4\neBiPPfYYBgYGajp0aGGeyVK+awIEUDdr606V8t66wOu4MRXHxOeBSZqvs/vmvUmi68ayz1I+bCen\nx59T7seILeXtJr3OF5rMrHKGEApr9TnJh4lbHwunJ/CUvGN9wXLRxRarT/FkxZueRdZnM3k2AQcP\nHsTLL7+MPXv2oFQqmUpJdz6tBLu7u01X1IKlAnhm1nkLtDtv7a7reB5SVacFT2mlqk9WOZ4b14hN\nHoq4/V76Vlqs/PT10K5yKjl591IILua+a/IcGxurW0aJ2ZoyiWpb5L83gXH786aQjI9MntMQ4+Pj\nGB4exgsvvIBnnnmmTjVo0mC3TcNr4JgCshbOLZUgf1pxhl7vTEGj6ofhDWqegHhJw3t/WtsSIzAu\nj45jhW9tbXXdcYkjYa2dXY9c9ARRlDR1/BT31iLS1DVPPWnJJAzUb0YWRRHVL9dD5bTUeUrfzuR5\nBfH222/jscceQ1dXV92bD7LGabkr8ln/xgoPFnZT9DV+l1niaBdFuzHS0Zk4JY6Vh7VulTLIihCw\nFU539BBxem6+tjFEyilLEd5EF0NsYLMtrDa9vD172Z3lnwzRpM5563BWX7Vcd7muvZkYQYUm2lTP\nQZOiTkf3aX4OWuojRXln8rxC6O7uxssvv4xXXnkF/f39Nedieq+M6c/e4NCN7LmOFgFwh/fcdN3B\nvEd+LOK0rrONVjm9QRtSV1YYXS5LeTBpenVr5ReCVeYQ+bI7GSJwTZxFJh1Oiz+HiEIraO8+q7+U\nfqaJv5F6ToHOT9eXXoLiw26K2JHJ8wphz5492Lp1a1UJWgrFm41D7ojETVk3kk6k1Zm4VCmuOqcX\nGugcNhUeibHKCsVlMgrVX4pSDLn6Xj48KK16s9bh+LOlNEMq0LPZsjvUTqw+U5SYNSGF2sRSuB5S\n8mew16TJ03LVdV4pyOR5haBJkx+v0GtXltupFVQofcuF1/ElP+2e6Aff9SlJsTUgK4xWp5Z9Om4j\n9WfFtWzS30MqOGSjZavn9ofiWPesNrUI2FKbKbaF7LXuawUsbcjEmkooHjmGllK8HW6r/WJ5cx58\ntgOrfe7belkhhkyelxnnz5/Hnj17qqcfcWOxquAH33UH0yQo9zicvu4NRO4o1tqmFdfKl6/pTSlL\nVYQGpac6PYKMkbmVlgXveoycQnmH2oYnNIvk2FVvRM3zhBqaTPR1a9e5SH2mtIXuL96kmzLhWeEt\nGySvkILVZbfUPCOT52VEf38/Dh06hC1btuDtt9+uIUhrkFjKE6gdfN7mB8/4AnlAmdfJ2E3nPASW\nLRZCZMuwys73rLrxyEny14NeOn9IqaYiRARevVtxOawVXk+qVv3odD0UVajsmnNdFp10JB8moNBE\nyM+NsnKNwapPS1lbE4MXL6Z2M3leRrz00kv4zW9+g1OnTtW95eMNbP4TMHlqV0Rv5HAnGhsbM10T\n/qVLzidEBDwYtZ3W41CNIEa+qQNKwluTTSpCE4ZFhlYd8f/QZKPb07M1VdF7p2RxuSQf6601bV+s\n3izCCrUXK8NQ34rly3l5HkFKuVL6RybPy4jTp0/j+PHjwcV+3dnZfeewlkvBaXJH4c5n7agLQuTo\n3dP/+bo1wL1O6Q0wrchj+ekycP4xWzy32JtErLBeuBj5hZR4CnQcTqO1tbXuBQdLoetXG7X9KW0Y\n6xs6HY/ELU+hKKF55GkRpGUT12NWnk2GHvwWwel7fMgB74prEuMDQeQeDwyg/hlOTZ4hchRY6kqX\nQ9vA5bPqo4ii4HqxOrWlWNgmyy5rItLXLTSiUKwyWd8t4owRvEWa1jXd3hZRcP0y8YcmIgarSQA1\n/VVcdG/S8/qblT7Dam9r6cmq51A7WMjk2SRYJKm/W7+zoh+SFwgp8mtmrDTku34USezwOqmkHyNN\n6zoTeSOwBrelJkJlsMiR0+ewTFj6Wko9WPFi4VJhEb1FnNq+lpaWat/RbrxVttjOd6r6s4hRp8vP\njYptHKcR74a/hyYCr9+ktEsmz8uMkBuhiVMOreWTv72DHvhEGH2N7/F1sSs0u+u8PIUg6VjxQh3P\nIzOrznRdWfGYEELlCdkSGqSe21ckfR3HU3GherXqhAnTahtNkqL+eNMxpMJ0GI98GJpALY+Iw2rb\nU9WnV098TU8QMr68NuXwMWTyvAwol8t45513cPr0aQC+KyGNKT/ExqpTf9fQv1hpkade45Lr+lQl\nDa+TWp25EaKcCmiVbqmrlpaWOvUd6vyWzd5gsmwpQs5eHK/OLAINueleXP1dezUeIVntX6RdvUlH\nrnu799z/PBLV5Q/VAa/dyviRpYK2trbgJhrXUwiZPC8Dzpw5g5///Of4+9//XnevUqlUlWVbWxva\n29vR2dmJ9vb2urU9TZyVSu35mhY89clkKogptth3fd2bsT11w0h1Xz1C8QYlx+MBEyMxVm9W2l7c\nouULheHy8gaaZ5NMLN7BM4yiSy3S57x7/N3zHnTftSZsy26pBwE/w9zS8r9fUOjs7KyzRQSIXs4o\nikyeU4zXX38dv//979HT01N9h10rR3Gf5HeEOjs70dnZiba2tup9HdZ7HpNJUsJYhxZ7ijI0w3M8\nC54iCrlyqUgh8hB5eHbo6x6xeyoxZSIIKfRG4CmtFJdW52sRkZVHKI1YmJQyct3LZ57IYwqTiVPG\nlYQTIpUxpsfJjBkzMD4+jnK5XFM2XiaLEWomzynC6OgoTpw4gd27d+P555+vugj8Hrsmzo6ODnR0\ndFTDAbWdUO+M84HEmhjlu95R9XagQ+TJYfmzRZb6eyMurc5HE4Pn2vE1q0xW2myzhA29kGCVk69b\nRBsj7VQwgWhYr+tak0CK4m5kMpB7KfDaU6ehy2PZFiN/PjkMQNWza29vr46PiYmJqpcn4wVA3Sn8\nKcjkOUXo7+/Hxo0b8frrr1cbUwamuE3699I7OjrQ2dlZd7K2uNnj4+MYHR2teZBdK0omDt4k0uAO\nym6KRUyp0EsMUo6U9/BTOqhll7VLq8vP+ehwVvr6eDQrLBPQZJBKoJ6il/ipBM9oJE5Kml5/4zq1\nyJ29I+2eWxtbrDiB/5Gk/Ok8brjhBnR0dNSpWX3GBICa5bEi9ZLJcxIYHh7G7373O5w4cQJDQ0M4\ndOgQLl68WN38AS51GlGiWo1qVwFAVWWWy+Ua91s+89plTEHKd00wnorjz9ZA40FhraOxQkglnEZc\nQj0gLIUVeyecySjFdfW+p8QJ3Q+pO8tVjynHUHkm4yFwHp7iD/UfyxZr8tL/WWDoPqj3D9guOYBZ\nvAwhWFkP1eNTP4mi/3vI5Nkg+vr60NPTg+3bt+Pw4cPVRmDpr2c7/g1t/cc75bx2aT2CFHJVgbAq\nDbm3KarR+rPCWfFTwMqaiYMHJysznUaIOK1BGRrsqaQTCufVc6xurLa2BrpVR1b+k1HUsb6n7WgE\n3rIEL2XozVe9+aOVq/aM9EabfE4lS0Ymzwaxf/9+/OQnP8Hg4GC1AbTbIDOd9U67ni15t1DSEJfS\n6kTsugt4MGjitDaPNGLE6ZGjR5xevCIIKWzOTyYgTaLynd/ustSOttVyL0OK3LLbQ2xnmuvOmhT4\nfixP634j7eJ5K9oOa1mF80xpU29ytJ5I0S67Jkydhu7//GOGTKapO++ZPAtiYmIC27Ztw+7du9Hf\n31+zhqIh12VxWpOlNLYQpDQYKytx45kErbVNVlCW6rTguUgeQqRZRMGwggjZZX220tJKQqvImF3W\naT6WeuW6CbnFVlmsvGLpWfYXIc2U9Ky0LTfay1P3X/me0qapxGlBxlF7e3sNacp/64ATq2299K01\ndEaQPEdHR/HAAw/gww8/RLlcxrp16zB//nxs2LABra2tWLBgATZv3oyWlhbs2LEDf/zjH9HW1oZ1\n69bhG9/4RjDjqxF9fX3o7u7Giy++iIMHD9a9Vqmhd/rYRZcG08SpNy606uSfDIi5Szqc9fgHh01R\nnCluTSOuXwypylPA6jNlEgjla8VhIklRcBYRhdxFTfwcL1aukA06P2tyiNWJVRavX4YItBHi5HS1\nyy7kKTvnQP3786lPJ7BACSFInnv27MGnPvUpbN26Ff39/fjOd76DhQsXYv369ViyZAk2b96Mffv2\nYdGiRdi+fTt2796NkZER3HXXXbjtttvQ0dERzPxqQ1dXF9asWVM95o0P9JCZasaMGZg5c2aVOGUm\n1BtDwKXGEoWpXQ9rlz3UmLqThHbedfgYGTVKnJZC8dKKpasHqFZ/IbdO6tsjHCYKj6BDCi+m0L3y\neUsGDOuUI21TqF1T2swjUCsdfU3CWU9rWG3D8aUtvfuh7/qafhMPqFWKvITAbeupay06Jk2ey5Yt\nw7e+9a2qIW1tbTh27BiWLFkCAFi6dCneeOMNtLa2YvHixVWlNW/ePJw4cQJf+MIXgplfTXjyySex\nc+dOlMvlOuIELjVqW1sbOjo66nbbdUPJM5taecqfHCGmw7BLL/DcJ3Y5PMXJRGGF1Qi5cpY9IcQU\nlB7Ysbde+A0avXPq2cp5hOrCI1XvO5cxpnhSEXPVQ6rWU3FW//TCc1l4Yg/1odhknTKR6888GfPm\njwgUniTkj19V5f6WgiB53njjjQCAUqmEn/70p/jZz36GJ554onp/1qxZGBgYQKlUwpw5c2qul0ql\nJAOmI86cOYOuri6Uy+XqtZ07d+Jvf/ubOWtJA+m1TUtd8cymFahuQH1knH6P3QO7T7ozs6sWcptS\nFaHk2ShxxtLXabHylLi6TuWzViI6LttsTTox9WyVT/cFqzzW9ZR6YtL20gqlG2ofj2RDpKft0v0s\n1D9Tyx8jTi9tTs/r7zoP+c6qlO1LmeCiG0Z9fX249957sWrVKixfvhxbt26t3iuVSpg7dy5mz56N\nwcHB6vXBwUHMnTs3mO6TTz6Jbdu2RQ28UqhULr07fuTIEaxduxb//e9/q/e8gaIbSd4WkjhyX9wc\nftCdZzjulKkbPWI7uyaSvw4XegREh79cCJFAjNRYaeg4Wn3qe/yUgSbQVLXk3Q+RJ6vgGGlwGt4b\nNzpuygQXusbEGVKnnKcmzhTy9MKlEGds0mAbAdR4Hy0tLeYxjLIZG2o/ALj99tvr8r333nvD5Hnu\n3Dn86Ec/wubNm/GVr3wFALBw4UJ0d3fjS1/6Eg4cOICvfvWruPXWW/HrX/8a5XIZIyMjOHnyJBYs\nWBCskPvuuw/33XdfzbUPPvjANPRK4K233sIvf/lLnD9/HufOnatOBjxgrQevrQ6i3xzSO+Z6UVvA\nLkPoUSTu1Jpw5ToPBk9pSpo8aKzyhdy6lOuNgInOe4hZ7o+OjroP7nN9pqq4UD1WKpW6/DhtJjlW\nRF4cvuYRG4OVdYjY5D+/kmipdQF7NzqtEFk3QpyN9CV+393qN/q+NQGyh7Jv3z585jOfqcsrSJ5P\nP/00BgYG8NRTT+Gpp54CADz44IP4xS9+gdHRUcyfPx/Lli1DS0sL1qxZg7vvvhsTExNYv379VbdZ\ndOHCBbz22mv48MMPa1SDNTt71yQOv2GkSdFyE/RfaLPHIk4O66kIi0BDnTOkSvR1L25RN8xTUuxm\nafCmil435razjhnzCIPt0JtPOqxWrxZ5crvwoPTqwZo0LTs9xPKw+jCXi/PWRJSyocIjnLSvAAAJ\nj0lEQVQ2W2vQsbKkqGsrnZaW+g0tayLyrls2WwiS58aNG7Fx48a669u3b6+7tmLFCqxYsSKY2XTF\nyMgILl68CAB1rh/gKy/50ycn6Qd2eWa2Ol0qcXJYPftbKkbnGSNOS21yGUPqM8XtKqoivDRZZfM7\n9cCldVB+PMwiNStPtpcVrHUupldHTLRe+WIK0bI1ZfLzwoWIPpSW14c5vK4zDlNkYrXs99pS77zr\n9uGyWpOFtYQ2KfK8XvDCCy/gueeew4ULF4IumEDuyythQpgAah6Yl0axjokT8OCKKU7vAXltV8qA\n8AiT04m9H27ZcLmgy8JPILC6lLrS9/SfTjNGmpoIKpVLb6jIn55E2V5rzdUqT+pExOnH6ttTVmxD\nqJ94k3WKfSkKrgi8MSL3BLo/6k1FHdcSI3J90o8qXev4+OOPsXfvXuzatQv/+Mc/zPUrAStJPu2d\niYaJk3fOrdkvRnbWPWuwc3qpnT2kNBshxVS3K2aTlaaUSatMHYeVhx4g1it+Xt5cFzLA+HhAywb5\nn+riWgrOCssEXGRysxAiolj/jNkcU9xFEOpP3C/YJlbBFkFa972+AVyH5Dk+Po7+/n6MjY3hzTff\nxKZNm/Dee++5m0ECXbHWbwzpOEKS+jzO0DpmaKZjEtTky52JXfGU2dNCyFUvgsmQZ0o8Xbbx8XHz\nMFtdv/rsRj5zgAeJNZFUKpde+5N0xaOQ3V25n1J/jd673GmF1JkXLpZXEbUaS8uy0brntYG1bpvq\nsWlcd+TZ19eHjRs34p133sHFixfx0Ucf1b2tANTvigr4gA99xJxuFH7ciDsgKyJLKUm4FNWpYcUJ\ndXLuaF6nSyFDr0N74cSWRklWp8PPt7Li4HD6lVhNpqkbhezqCSwiZntjbnqovT33O0WBxvLhfqc/\n88Sd0sYewcbUaApxso3WphT3Cc43tKSgJ0sL1x15Dg0N4ciRI3jzzTerFcoDxiMAPcD4VCRrbVPP\nbF5DhTphiDi98GJLUcWZ6rJPRk16+RYN49nAExM/C+qFBWrVCK+PsjqVPiM/58Bxtd28iTEVdRfq\nL6npe6Qpnz3lGSN9oH7ZhO8VgdX2sd1+zpsfVeLxyYIlVj7BdUeegtBOLP+XQaDJU28SWcRpNaA3\niK1Z1FOPMdLQ8TVia2VagcUUTGyQFiH8WJqh8obuAbWPN8WWY1iNSnvL6Vf8+h9w6acbPILReVsP\ny8cmTqsOitZrKF3veqwfevH4eVFGKnGm9D/LppBq1gTqiRuOG7P3uiRPT2FZnUW7dPq4f/0b2NpF\n1zvq3mNCOr+idsdQlLg0UfBOdCyfom59yr1UJZoywKzvHE8mFZ5c+DQr62QsTRbSB/h6yDZP6Vjt\np+30woSup4bx8p5KbyOElHaVuh4bG6vzGK261fH0fe+RptTxc82TZ09PD/bu3Vv9fv78eZw9e7Ym\nTGjtUQaL/m11Js7Qe+gpZOZ12JSw1iybmofkwxtfjcDqtJN10S4H2L4QkYU8BU2gcpiLDGqrPlMI\nK6Z+rPXbUHpFySBG4J69bGco3lRMoEJ8vBRiKWaOY41zq/5T7JhW5Cm7oadPn56yNF955RU8+uij\nNQ3DmwPsusl3HU7IUy88a3eAOwYrG40iKjQUN+SmpKSt1+4sNRdyi3ipw7KL07SWCTwvwLNXf051\n81MQU9HWK36aQGfMmFHn+uu0OK8YQUs4rmcv3RBRWmQQI1RWuqE85TNPGHLN6pNWmSxP0MpLoJ+z\n1eEtYvSIU5fVg/VKNTDNyFMU4apVq6Y03c997nNTml5GBnCJUPX6t4Ur6fZeb4i9CST1HmqfGM6e\nPYt58+bVp11J1fRXAMPDwzh69ChWrVqFffv2NducaY3bb78911ECcj3FkevIxvj4OM6ePYtbbrkF\nM2fOrLs/rZTnzJkz8cUvfhEAzFNMMmqR6ygNuZ7iyHVkw1KcgrSt1YyMjIyMGmTyzMjIyGgAmTwz\nMjIyGsCMhx9++OFmG2Hhy1/+crNNmPbIdZSGXE9x5Doqjmm1256RkZFxtSC77RkZGRkNIJNnRkZG\nRgPI5JmRkZHRADJ5ZmRkZDSATJ4ZGRkZDWBakefExAQeeugh3HnnnVi9ejXef//9Zps0bfC9730P\nq1evxurVq/HAAw/gvffew1133YVVq1bh4YcfTj527FrEkSNHsHr1agBw62XHjh34/ve/j5UrV2L/\n/v1NtLZ50PV07NgxLF26tNqn/vrXvwLI9VQIlWmEV199tbJhw4ZKpVKpHD58uLJu3bomWzQ9MDw8\nXPnud79bc+3HP/5xpbu7u1KpVCoPPfRQ5bXXXmuGaU3Hs88+W1m+fHll5cqVlUrFrpczZ85Uli9f\nXimXy5WBgYHK8uXLKyMjI800+4qD62nHjh2V5557riZMrqdimFbK89ChQ/j6178OAFi0aBGOHj3a\nZIumB/71r39haGgI99xzD374wx/i8OHDOHbsGJYsWQIAWLp0Kbq6uppsZXMwb948bNu2raowrXr5\n5z//icWLF6O9vR2zZ8/GvHnzcOLEiWaafcXB9XT06FHs378f//d//4cHH3wQg4OD6O3tve7rqQim\n1alKpVIJs2fPrn6XA2ZTfxriWsUNN9yAe+65BytWrMC7776LtWvX1ty/8cYbMTAw0CTrmotvfvOb\n+OCDD6rfK2r5YtasWRgYGECpVMKcOXNqrpdKpStqZ7PB9bRo0SKsXLkSN998M55++mls27YNCxcu\nvO7rqQimFSvNnj0bg4OD1e+ZOP+Hz372s/j2t79d/XzTTTfh448/rt4fHBzE3Llzm2XetILuL6VS\nCXPnzq3rV7m+gDvuuAM333xz9fPx48dzPRXEtGKmxYsX48CBAwCAw4cP4/Of/3yTLZoe2L17N7Zs\n2QIA+OijjzA4OIivfe1r6O7uBgAcOHCgeg7q9Y6FCxfW1cutt96Knp4elMtlDAwM4OTJk1iwYEGT\nLW0u1q5di97eXgBAV1cXbrnlllxPBTGt3PY77rgDb7zxBu68804AwOOPP95ki6YHfvCDH+D++++v\n/jzJ448/jptuugmbNm3C6Ogo5s+fj2XLljXZyuZCfm5hw4YNdfXS0tKCNWvW4O6778bExATWr1+P\njo6OJlvcHEg9PfLII3jkkUfQ1taGT3/603j00Ucxa9asXE8FkA8GycjIyGgA08ptz8jIyLhakMkz\nIyMjowFk8szIyMhoAJk8MzIyMhpAJs+MjIyMBpDJMyMjI6MBZPLMyMjIaACZPDMyMjIawP8DVWH6\n9ciILccAAAAASUVORK5CYII=\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x10dfcd190>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"sst_proc = sst_sub.collapsed('time', iris.analysis.MEAN)\n", | |
"print sst_proc.shape\n", | |
"\n", | |
"plt.imshow(sst_proc.data[::-1])" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"What's especially nice now is that we have a much simpler X-Y/lat-lon coordinate system that doesn't deal with seams across the prime meridian or equator. So we don't even have to re-project our data! We can just plot it using the normal `matplotlib` routines. Below is an example of leveraging `cartopy`/`matplotlib` to build production-quality cartographic images." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 95, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAdoAAAA4CAYAAABaHzmSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nCETRAgAQiKIFACDQ37T1l3yfbOy6AAAAAElFTkSuQmCC\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x16f37ddd0>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"# Cool interactive palette-maker! Can also generate light/dark \n", | |
"# colorbrewer-style palettes\n", | |
"#sst_palette = sns.choose_cubehelix_palette(as_cmap=True)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 120, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.text.Text at 0x168e87090>" | |
] | |
}, | |
"execution_count": 120, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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ziIws+zrVc+Z8SFxcW/7zn4U89NBDLFv2JRcvZgJw550Ps2fPn2zatImOHTte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\nYtDMWUNDQ0NDI2L4f0xAf5910Ir5AAAAAElFTkSuQmCC\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x1703f2d50>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"# Extra imports for annotating our map/plot\n", | |
"from cartopy.feature import NaturalEarthFeature, COLORS\n", | |
"from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n", | |
"\n", | |
"# Control feature/boundary resolution\n", | |
"FEATURE_RES = '50m' # '10m' or '110m'\n", | |
"\n", | |
"# Extract the data and coordinate system, masking any invalid\n", | |
"# data points for convenience\n", | |
"sst_proc.data = np.ma.masked_invalid(sst_proc.data)\n", | |
"lon = sst_proc.coord('longitude').points\n", | |
"lat = sst_proc.coord('latitude').points\n", | |
"\n", | |
"# Set up the plotting canvas\n", | |
"fig = plt.figure()\n", | |
"ax = fig.add_subplot(111, projection=ccrs.PlateCarree())\n", | |
"\n", | |
"# Set map extent\n", | |
"ax.set_extent([bbox[0], bbox[2], bbox[1], bbox[3]])\n", | |
"\n", | |
"# Add land political boundaries to map\n", | |
"land_data = NaturalEarthFeature('physical', 'land', FEATURE_RES,\n", | |
" edgecolor='face', # edgecolor == facecolor\n", | |
" facecolor=COLORS['land']) # a nice default\n", | |
"states = NaturalEarthFeature('cultural', \n", | |
" 'admin_1_states_provinces', \n", | |
" FEATURE_RES,\n", | |
" edgecolor='grey', facecolor='none')\n", | |
"ax.add_feature(land_data)\n", | |
"ax.add_feature(states)\n", | |
"ax.coastlines(resolution=FEATURE_RES, lw=1.15)\n", | |
"\n", | |
"# Add some gridlines and use cartopy's convenience functions\n", | |
"# for formatting them\n", | |
"# Note - disabled for now, just change 'color' to enable\n", | |
"grid_style = dict(color='none', linestyle='-', lw=1.5)\n", | |
"gl = ax.gridlines(draw_labels=True, **grid_style)\n", | |
"gl.xlabels_top = gl.ylabels_right = False\n", | |
"gl.xformatter = LONGITUDE_FORMATTER\n", | |
"gl.yformatter = LATITUDE_FORMATTER\n", | |
"label_style = dict(size=11, color='black', weight='regular', \n", | |
" family='serif')\n", | |
"gl.xlabel_style = gl.ylabel_style = label_style\n", | |
"\n", | |
"# Plot the actual data, using the projection system as a coordinate\n", | |
"# transform (I think this is right?)\n", | |
"pc = ax.pcolormesh(lon, lat, sst_proc.data, transform=ccrs.PlateCarree(),\n", | |
" cmap=sst_palette)\n", | |
"cbar = fig.colorbar(pc, ax=ax, shrink=0.9) \n", | |
"cbar.ax.set_ylabel(sst_sub.units, labelpad=15., rotation=-90.,\n", | |
" fontdict=dict(size=12, weight='bold'))\n", | |
"\n", | |
"ax.set_title(\"SST data from HYCOM/RTOFS\", loc='left',\n", | |
" fontdict=dict(size=12, weight='bold'))" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 2", | |
"language": "python", | |
"name": "python2" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 2 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython2", | |
"version": "2.7.10" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 0 | |
} |
Hi @jweisbaum, it's rather difficult to properly write out GRIB files... I'm not familiar with any off-the-shelf package in Python that can easily do it. Your best bet may be to save things to a NetCDF file, and then use a tool like gdal_translate to convert from NetCDF to GRIB.
Thanks so much, I've been able to get it working more or less with Iris by doing some processing on the netcdf, writing to a new netcdf and then using cdo and wgrib2. I'll check out gdal_translate. Your tutorials are awesome.
I appreciate the feedback! Always happy to help.
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Hey Daniel, I'm trying to write the north and east velocity variables of the RTOFS data to a grib file. This tutorial has been super helpful but I can't figure out how to map it to the grib standard. Any pointers?