diff --git a/src/wrf/api.py b/src/wrf/api.py
index 831bd45..82c000a 100644
--- a/src/wrf/api.py
+++ b/src/wrf/api.py
@@ -24,7 +24,10 @@ from .util import (to_np, extract_global_attrs, is_standard_wrf_var,
from_var, combine_dims, either, get_iterable,
IterWrapper, is_coordvar, latlon_coordvars, is_mapping,
has_time_coord, is_multi_file, is_multi_time_req,
- get_coord_pairs, is_time_coord_var)
+ get_coord_pairs, is_time_coord_var, geobounds,
+ get_cartopy, get_basemap, get_pyngl, cartopy_xlim,
+ cartopy_ylim, latlon_coords)
+from .geobnds import GeoBounds, NullGeoBounds
from .projection import (WrfProj, NullProjection, LambertConformal, Mercator,
PolarStereographic, LatLon, RotatedLatLon,
getproj)
@@ -60,7 +63,10 @@ __all__ += ["to_np", "extract_global_attrs", "is_standard_wrf_var",
"from_var", "combine_dims", "either", "get_iterable",
"IterWrapper", "is_coordvar", "latlon_coordvars", "is_mapping",
"has_time_coord", "is_multi_file", "is_multi_time_req",
- "get_coord_pairs", "is_time_coord_var"]
+ "get_coord_pairs", "is_time_coord_var", "geobounds",
+ "get_cartopy", "get_basemap", "get_pyngl", "cartopy_xlim",
+ "cartopy_ylim", "latlon_coords"]
+__all__ += ["GeoBounds", "NullGeoBounds"]
__all__ += ["WrfProj", "NullProjection", "LambertConformal", "Mercator",
"PolarStereographic", "LatLon", "RotatedLatLon", "getproj"]
__all__ += ["CoordPair"]
diff --git a/src/wrf/computation.py b/src/wrf/computation.py
index fba53ea..d66fcf8 100644
--- a/src/wrf/computation.py
+++ b/src/wrf/computation.py
@@ -9,11 +9,11 @@ from .extension import (_interpz3d, _interp2dxy, _interp1d, _slp, _tk, _td,
_rh, _uvmet, _smooth2d, _cape, _cloudfrac, _ctt, _dbz,
_srhel, _udhel, _avo, _pvo, _eth, _wetbulb, _tv,
_omega, _pw)
-from .util import from_var
from .decorators import convert_units
from .metadecorators import (set_alg_metadata, set_uvmet_alg_metadata,
set_interp_metadata, set_cape_alg_metadata,
- set_cloudfrac_alg_metadata)
+ set_cloudfrac_alg_metadata,
+ set_smooth_metdata)
from .interputils import get_xy
@set_interp_metadata("xy")
@@ -677,9 +677,7 @@ def uvmet(u, v, lat, lon, cen_long, cone, meta=True, units="m s-1"):
return _uvmet(u, v, lat, lon, cen_long, cone)
-@set_alg_metadata(2, "field",
- description=from_var("field", "description"),
- units=from_var("field", "units"))
+@set_smooth_metdata()
def smooth2d(field, passes, meta=True):
"""Return the field smoothed.
diff --git a/src/wrf/geobnds.py b/src/wrf/geobnds.py
new file mode 100644
index 0000000..2108800
--- /dev/null
+++ b/src/wrf/geobnds.py
@@ -0,0 +1,54 @@
+from __future__ import (absolute_import, division, print_function,
+ unicode_literals)
+
+from .coordpair import CoordPair
+
+class GeoBounds(object):
+ def __init__(self, bottom_left=None, top_right=None, lats=None, lons=None):
+ """ Initialize a :class:`wrf.GeoBounds` object.
+
+ Args:
+
+ bottom_left (:class:`wrf.CoordPair`, optional): The lower left
+ corner. Must also specify *top_right* if used.
+ Default is None.
+
+ top_right (:class:`wrf.CoordPair`, optional): The upper right
+ corner. Must also specify *bottom_left* if used.
+ Default is None.
+
+ lats (:class:`numpy.ndarray`, optional): An array of at least
+ two dimensions containing all of the latitude values. Must
+ also specify *lons* if used. Default is None.
+
+ lons (:class:`numpy.ndarray`, optional): An array of at least
+ two dimensions containing all of the longitude values. Must
+ also specify *lats* if used. Default is None.
+
+ """
+ if bottom_left is not None and top_right is not None:
+ self.bottom_left = bottom_left
+ self.top_right = top_right
+ elif lats is not None and lons is not None:
+ self.bottom_left = CoordPair(lat=lats[0,0], lon=lons[0,0])
+ self.top_right = CoordPair(lat=lats[-1,-1], lon=lons[-1,-1])
+ else:
+ raise ValueError("invalid corner point arguments")
+
+ def __repr__(self):
+ argstr = "{}, {}".format(repr(self.bottom_left),
+ repr(self.top_right))
+
+ return "{}({})".format(self.__class__.__name__, argstr)
+
+
+class NullGeoBounds(GeoBounds):
+ def __init__(self):
+ pass
+
+ def __repr__(self):
+ return "{}()".format(self.__class__.__name__)
+
+
+
+
\ No newline at end of file
diff --git a/src/wrf/metadecorators.py b/src/wrf/metadecorators.py
index 82ae075..ada66c0 100644
--- a/src/wrf/metadecorators.py
+++ b/src/wrf/metadecorators.py
@@ -1755,7 +1755,47 @@ def set_alg_metadata(alg_ndims, refvarname,
return func_wrapper
-
+def set_smooth_metdata():
+ @wrapt.decorator
+ def func_wrapper(wrapped, instance, args, kwargs):
+ do_meta = from_args(wrapped, ("meta",), *args, **kwargs)["meta"]
+
+ if do_meta is None:
+ do_meta = True
+
+ if not xarray_enabled() or not do_meta:
+ return wrapped(*args, **kwargs)
+
+ argvars = from_args(wrapped, ("field", "passes"),
+ *args, **kwargs)
+
+ field = argvars["field"]
+ passes = argvars["passes"]
+
+ result = wrapped(*args, **kwargs)
+
+ outname = "smooth2d"
+ outdimnames = ["dim_{}".format(i) for i in py3range(result.ndim)]
+ outcoords = OrderedDict()
+ outattrs = OrderedDict()
+
+ if isinstance(field, DataArray):
+ outname = "smooth_" + ucode(field.name)
+ outdimnames = list(field.dims)
+ outcoords.update(field.coords)
+ outattrs.update(field.attrs)
+ outattrs["passes"] = passes
+
+ if isinstance(result, ma.MaskedArray):
+ outattrs["_FillValue"] = result.fill_value
+ outattrs["missing_value"] = result.fill_value
+
+ return DataArray(result, name=outname, coords=outcoords,
+ dims=outdimnames, attrs=outattrs)
+
+ return func_wrapper
+
+
def set_uvmet_alg_metadata(units=None, description="earth rotated u,v",
latarg="lat", windarg="u"):
"""A decorator that sets the metadata for the wrapped raw UVMET diagnostic
diff --git a/src/wrf/projection.py b/src/wrf/projection.py
index 99b6e02..851836d 100644
--- a/src/wrf/projection.py
+++ b/src/wrf/projection.py
@@ -3,10 +3,10 @@ from __future__ import (absolute_import, division, print_function,
import numpy as np
import math
-from .coordpair import CoordPair
from .config import basemap_enabled, cartopy_enabled, pyngl_enabled
from .constants import Constants, ProjectionTypes
from .projutils import dict_keys_to_upper
+from .py3compat import viewitems
if cartopy_enabled():
from cartopy import crs
@@ -108,18 +108,6 @@ class WrfProj(object):
for PyNGL, matplotlib basemap, and cartopy.
Attributes:
-
- ll_lat (:obj:`float`): Lower left corner latitude.
-
- ll_lat (:obj:`float`): Lower left corner longitude.
-
- ur_lat (:obj:`float`): Upper right corner latitude.
-
- ur_lon (:obj:`float`): Upper right corner longitude.
-
- bottom_left (indexable sequence): A pair of (ll_lat, ll_lon).
-
- top_right (indexable sequence): A pair of (ur_lat, ur_lon).
map_proj (:obj:`int`): Model projection integer id.
@@ -141,27 +129,10 @@ class WrfProj(object):
"""
- def __init__(self, bottom_left=None, top_right=None,
- lats=None, lons=None, **proj_params):
+ def __init__(self, **proj_params):
"""Initialize a :class:`wrf.WrfProj` object.
Args:
-
- bottom_left (:class:`wrf.CoordPair`, optional): The lower left
- corner. Must also specify *top_right* if used.
- Default is None.
-
- top_right (:class:`wrf.CoordPair`, optional): The upper right
- corner. Must also specify *bottom_left* if used.
- Default is None.
-
- lats (:class:`numpy.ndarray`, optional): An array of at least
- two dimensions containing all of the latitude values. Must
- also specify *lons* if used. Default is None.
-
- lons (:class:`numpy.ndarray`, optional): An array of at least
- two dimensions containing all of the longitude values. Must
- also specify *lats* if used. Default is None.
**proj_params: Map projection optional keyword arguments, that
have the same names as found in WRF output NetCDF global
@@ -177,24 +148,6 @@ class WrfProj(object):
"""
- if bottom_left is not None and top_right is not None:
- self.ll_lat = bottom_left.lat
- self.ll_lon = bottom_left.lon
- self.ur_lat = top_right.lat
- self.ur_lon = top_right.lon
- self.bottom_left = bottom_left
- self.top_right = top_right
- elif lats is not None and lons is not None:
- self.ll_lat = lats[0,0]
- self.ur_lat = lats[-1,-1]
- self.ll_lon = lons[0,0]
- self.ur_lon = lons[-1,-1]
- self.bottom_left = CoordPair(lat=self.ll_lat, lon=self.ll_lon)
- self.top_right = CoordPair(self.ur_lat, self.ur_lon)
- else:
- raise ValueError("invalid corner point arguments")
-
-
up_proj_params = dict_keys_to_upper(proj_params)
self.map_proj = up_proj_params.get("MAP_PROJ", None)
@@ -225,7 +178,7 @@ class WrfProj(object):
self.stand_lon = self._cen_lon
- def _basemap(self, resolution='l'):
+ def _basemap(self, geobounds, **kwargs):
return None
def _cf_params(self):
@@ -234,10 +187,34 @@ class WrfProj(object):
def _cartopy(self):
return None
- def _cart_extents(self):
- return ([self.ll_lon, self.ur_lon], [self.ll_lat, self.ur_lat])
+ def _calc_extents(self, geobounds):
+ # Need to modify the extents for the new projection
+ pc = crs.PlateCarree()
+ xs, ys, _ = self._cartopy().transform_points(pc,
+ np.array([geobounds.bottom_left.lon,
+ geobounds.top_right.lon]),
+ np.array([geobounds.bottom_left.lat,
+ geobounds.top_right.lat])).T
+ _xlimits = xs.tolist()
+ _ylimits = ys.tolist()
+
+ return (_xlimits, _ylimits)
+
+
+ def _cart_extents(self, geobounds):
+ try:
+ _ = len(geobounds)
+ except TypeError: # Only a single object
+ extents = self._calc_extents(geobounds)
+ else:
+ extents = np.empty(geobounds.shape, np.object)
+
+ for idxs, geobnd_val in np.ndenumerate(geobounds):
+ extents[idxs] = self._calc_extents(geobnd_val)
+
+ return extents
- def _pyngl(self):
+ def _pyngl(self, geobounds):
return None
def _proj4(self):
@@ -249,41 +226,60 @@ class WrfProj(object):
semimajor_axis=Constants.WRF_EARTH_RADIUS,
semiminor_axis=Constants.WRF_EARTH_RADIUS))
- def cartopy_xlim(self):
+ def cartopy_xlim(self, geobounds):
"""Return the x extents in projected coordinates for cartopy.
-
+
Returns:
-
+
:obj:`list`: A pair of [xmin, xmax].
-
+
See Also:
-
+
:mod:`cartopy`, :mod:`matplotlib`
-
+
"""
- return self._cart_extents()[0]
-
- def cartopy_ylim(self):
+ try:
+ _ = len(geobounds)
+ except TypeError:
+ x_extents= self._cart_extents(geobounds)[0]
+ else:
+ extents = self._cart_extents(geobounds)
+ x_extents = np.empty(extents.shape, np.object)
+
+ for idxs, extent in np.ndenumerate(extents):
+ x_extents[idxs] = extent[0]
+
+ return x_extents
+
+ def cartopy_ylim(self, geobounds):
"""Return the y extents in projected coordinates for cartopy.
-
+
Returns:
-
+
:obj:`list`: A pair of [ymin, ymax].
-
+
See Also:
-
+
:mod:`cartopy`, :mod:`matplotlib`
-
+
"""
- return self._cart_extents()[1]
+ try:
+ _ = len(geobounds)
+ except TypeError:
+ y_extents= self._cart_extents(geobounds)[1]
+ else:
+ extents = self._cart_extents(geobounds)
+ y_extents = np.empty(extents.shape, np.object)
+
+ for idxs, extent in np.ndenumerate(extents):
+ y_extents[idxs] = extent[1]
+
+ return y_extents
def __repr__(self):
- args = ("bottom_left={}, top_right={}, "
- "stand_lon={}, moad_cen_lat={}, "
+ args = ("stand_lon={}, moad_cen_lat={}, "
"truelat1={}, truelat2={}, "
- "pole_lat={}, pole_lon={}".format((self.ll_lat, self.ll_lon),
- (self.ur_lat, self.ur_lon),
- self.stand_lon,
+ "pole_lat={}, pole_lon={}".format(self.stand_lon,
self.moad_cen_lat,
self.truelat1,
self.truelat2,
@@ -291,13 +287,22 @@ class WrfProj(object):
self.pole_lon))
return "{}({})".format(self.__class__.__name__, args)
- def basemap(self, resolution='l'):
+ def basemap(self, geobounds, **kwargs):
"""Return a :class:`matplotlib.mpl_toolkits.basemap.Basemap` object
for the map projection.
Arguments:
-
- resolution (:obj:`str`): The map resolution type.
+
+ geobounds (:class:`wrf.GeoBounds`, optional): The geobounds to
+ get the extents. If set to None and using the *var* parameter,
+ the geobounds will be taken from the variable. If using a
+ file, then the geobounds will be taken from the native grid.
+
+ **kwargs: Keyword arguments for creating a
+ :class:`matplotlib.mpl_toolkits.basemap.Basemap`. By default,
+ the domain bounds will be set to the native projection, the
+ resolution will be set to 'l', and the other projection
+ parameters will be set by the information in the file.
Returns:
@@ -312,7 +317,8 @@ class WrfProj(object):
if not basemap_enabled():
raise RuntimeError("'mpl_toolkits.basemap' is not "
"installed or is disabled")
- return self._basemap(resolution)
+
+ return self._basemap(geobounds, **kwargs)
def cartopy(self):
"""Return a :class:`cartopy.crs.Projection` subclass for the
@@ -333,9 +339,19 @@ class WrfProj(object):
"installed or is disabled")
return self._cartopy()
- def pyngl(self):
+ def pyngl(self, geobounds, **kwargs):
"""Return a :class:`Ngl.Resources` object for the map projection.
+ Args:
+
+ geobounds (:class:`wrf.GeoBounds`, optional): The geobounds to
+ get the extents. If set to None and using the *var* parameter,
+ the geobounds will be taken from the variable. If using a
+ file, then the geobounds will be taken from the native grid.
+
+ **kwargs: Additional PyNGL resources to set while creating the
+ :class:`Ngl.Resources` object.
+
Returns:
:class:`Ngl.Resources`: A dict-like object that contains the
@@ -349,7 +365,7 @@ class WrfProj(object):
if not pyngl_enabled():
raise RuntimeError("'pyngl' is not "
"installed or is disabled")
- return self._pyngl()
+ return self._pyngl(geobounds, **kwargs)
def proj4(self):
"""Return the PROJ.4 string for the map projection.
@@ -404,27 +420,10 @@ class LambertConformal(WrfProj):
:class:`Mercator`, :class:`RotatedLatLon`
"""
- def __init__(self, bottom_left=None, top_right=None,
- lats=None, lons=None, **proj_params):
+ def __init__(self, **proj_params):
"""Initialize a :class:`wrf.LambertConformal` object.
Args:
-
- bottom_left (indexable sequence, optional): The lower left corner
- as a (latitude, longitude) pair. Must also specify *top_right*
- if used. Default is None.
-
- top_right (indexable sequence): The upper right corner as a
- (latitude, longitude) pair. Must also specify *bottom_left*
- if used. Default is None.
-
- lats (:class:`numpy.ndarray`, optional): An array of at least
- two dimensions containing all of the latitude values. Must
- also specify *lons* if used. Default is None.
-
- lons (:class:`numpy.ndarray`, optional): An array of at least
- two dimensions containing all of the longitude values. Must
- also specify *lats* if used. Default is None.
**proj_params: Map projection optional keyword arguments, that
have the same names as found in WRF output NetCDF global
@@ -438,8 +437,7 @@ class LambertConformal(WrfProj):
- 'POLE_LON': Pole longitude.
"""
- super(LambertConformal, self).__init__(bottom_left,
- top_right, lats, lons, **proj_params)
+ super(LambertConformal, self).__init__(**proj_params)
self._std_parallels = [self.truelat1]
if self.truelat2 is not None:
@@ -457,7 +455,7 @@ class LambertConformal(WrfProj):
return _cf_params
- def _pyngl(self):
+ def _pyngl(self, geobounds, **kwargs):
if not pyngl_enabled():
return None
@@ -468,33 +466,40 @@ class LambertConformal(WrfProj):
_pyngl = Resources()
_pyngl.mpProjection = bytes("LambertConformal")
_pyngl.mpDataBaseVersion = bytes("MediumRes")
- _pyngl.mpLimitMode = bytes("Corners")
- _pyngl.mpLeftCornerLonF = self.ll_lon
- _pyngl.mpLeftCornerLatF = self.ll_lat
- _pyngl.mpRightCornerLonF = self.ur_lon
- _pyngl.mpRightCornerLatF = self.ur_lat
_pyngl.mpLambertMeridianF = self.stand_lon
_pyngl.mpLambertParallel1F = self.truelat1
_pyngl.mpLambertParallel2F = truelat2
+ _pyngl.mpLimitMode = bytes("Corners")
+ _pyngl.mpLeftCornerLonF = geobounds.bottom_left.lon
+ _pyngl.mpLeftCornerLatF = geobounds.bottom_left.lat
+ _pyngl.mpRightCornerLonF = geobounds.top_right.lon
+ _pyngl.mpRightCornerLatF = geobounds.top_right.lat
+
+ for key, val in viewitems(kwargs):
+ setattr(_pyngl, key, val)
+
return _pyngl
- def _basemap(self, resolution='l'):
+ def _basemap(self, geobounds, **kwargs):
if not basemap_enabled():
return None
- _basemap = Basemap(projection = "lcc",
- lon_0 = self.stand_lon,
- lat_0 = self.moad_cen_lat,
- lat_1 = self.truelat1,
- lat_2 = self.truelat2,
- llcrnrlat = self.ll_lat,
- urcrnrlat = self.ur_lat,
- llcrnrlon = self.ll_lon,
- urcrnrlon = self.ur_lon,
- rsphere = Constants.WRF_EARTH_RADIUS,
- resolution = resolution)
+ local_kwargs = dict(projection = "lcc",
+ lon_0 = self.stand_lon,
+ lat_0 = self.moad_cen_lat,
+ lat_1 = self.truelat1,
+ lat_2 = self.truelat2,
+ llcrnrlat = geobounds.bottom_left.lat,
+ urcrnrlat = geobounds.top_right.lat,
+ llcrnrlon = geobounds.bottom_left.lon,
+ urcrnrlon = geobounds.top_right.lon,
+ rsphere = Constants.WRF_EARTH_RADIUS,
+ resolution = 'l')
+ local_kwargs.update(kwargs)
+
+ _basemap = Basemap(**local_kwargs)
return _basemap
@@ -509,19 +514,6 @@ class LambertConformal(WrfProj):
globe = self._globe())
return _cartopy
-
- def _cart_extents(self):
- # Need to modify the extents for the new projection
- pc = crs.PlateCarree()
- xs, ys, _ = self._cartopy().transform_points(pc,
- np.array([self.ll_lon, self.ur_lon]),
- np.array([self.ll_lat, self.ur_lat])).T
-
-
- _xlimits = xs.tolist()
- _ylimits = ys.tolist()
-
- return (_xlimits, _ylimits)
def _proj4(self):
truelat2 = (self.truelat1
@@ -537,6 +529,7 @@ class LambertConformal(WrfProj):
self.moad_cen_lat,
self.stand_lon))
return _proj4
+
class Mercator(WrfProj):
"""A :class:`wrf.WrfProj` subclass for Mercator projections.
@@ -548,27 +541,10 @@ class Mercator(WrfProj):
:class:`RotatedLatLon`, :class:`LambertConformal`
"""
- def __init__(self, bottom_left=None, top_right=None,
- lats=None, lons=None, **proj_params):
+ def __init__(self, **proj_params):
"""Initialize a :class:`wrf.Mercator` object.
Args:
-
- bottom_left (indexable sequence, optional): The lower left corner
- as a (latitude, longitude) pair. Must also specify *top_right*
- if used. Default is None.
-
- top_right (indexable sequence): The upper right corner as a
- (latitude, longitude) pair. Must also specify *bottom_left*
- if used. Default is None.
-
- lats (:class:`numpy.ndarray`, optional): An array of at least
- two dimensions containing all of the latitude values. Must
- also specify *lons* if used. Default is None.
-
- lons (:class:`numpy.ndarray`, optional): An array of at least
- two dimensions containing all of the longitude values. Must
- also specify *lats* if used. Default is None.
**proj_params: Map projection optional keyword arguments, that
have the same names as found in WRF output NetCDF global
@@ -582,8 +558,7 @@ class Mercator(WrfProj):
- 'POLE_LON': Pole longitude.
"""
- super(Mercator, self).__init__(bottom_left, top_right,
- lats, lons, **proj_params)
+ super(Mercator, self).__init__(**proj_params)
self._lat_ts = (None
if self.truelat1 == 0. or _ismissing(self.truelat1)
@@ -600,38 +575,45 @@ class Mercator(WrfProj):
return _cf_params
- def _pyngl(self):
+ def _pyngl(self, geobounds, **kwargs):
if not pyngl_enabled():
return None
_pyngl = Resources()
_pyngl.mpProjection = bytes("Mercator")
_pyngl.mpDataBaseVersion = bytes("MediumRes")
- _pyngl.mpLimitMode = bytes("Corners")
- _pyngl.mpLeftCornerLonF = self.ll_lon
- _pyngl.mpLeftCornerLatF = self.ll_lat
- _pyngl.mpRightCornerLonF = self.ur_lon
- _pyngl.mpRightCornerLatF = self.ur_lat
_pyngl.mpCenterLatF = 0.0
_pyngl.mpCenterLonF = self.stand_lon
+ _pyngl.mpLimitMode = bytes("Corners")
+ _pyngl.mpLeftCornerLonF = geobounds.bottom_left.lon
+ _pyngl.mpLeftCornerLatF = geobounds.bottom_left.lat
+ _pyngl.mpRightCornerLonF = geobounds.top_right.lon
+ _pyngl.mpRightCornerLatF = geobounds.top_right.lat
+
+ for key, val in viewitems(kwargs):
+ setattr(_pyngl, key, val)
+
return _pyngl
- def _basemap(self, resolution='l'):
+ def _basemap(self, geobounds, **kwargs):
if not basemap_enabled():
return None
-
- _basemap = Basemap(projection = "merc",
- lon_0 = self.stand_lon,
- lat_0 = self.moad_cen_lat,
- lat_ts = self._lat_ts,
- llcrnrlat = self.ll_lat,
- urcrnrlat = self.ur_lat,
- llcrnrlon = self.ll_lon,
- urcrnrlon = self.ur_lon,
- rsphere = Constants.WRF_EARTH_RADIUS,
- resolution = resolution)
+
+ local_kwargs = dict(projection = "merc",
+ lon_0 = self.stand_lon,
+ lat_0 = self.moad_cen_lat,
+ lat_ts = self._lat_ts,
+ llcrnrlat = geobounds.bottom_left.lat,
+ urcrnrlat = geobounds.top_right.lat,
+ llcrnrlon = geobounds.bottom_left.lon,
+ urcrnrlon = geobounds.top_right.lon,
+ rsphere = Constants.WRF_EARTH_RADIUS,
+ resolution = "l")
+ local_kwargs.update(kwargs)
+
+ _basemap = Basemap(**local_kwargs)
return _basemap
@@ -654,20 +636,6 @@ class Mercator(WrfProj):
return _cartopy
- def _cart_extents(self):
-
- # Need to modify the extents for the new projection
- pc = crs.PlateCarree()
- xs, ys, zs = self._cartopy().transform_points(pc,
- np.array([self.ll_lon, self.ur_lon]),
- np.array([self.ll_lat, self.ur_lat])).T
-
- _xlimits = xs.tolist()
- _ylimits = ys.tolist()
-
- return (_xlimits, _ylimits)
-
-
def _proj4(self):
_proj4 = ("+proj=merc +units=meters +a={} +b={} "
@@ -690,27 +658,10 @@ class PolarStereographic(WrfProj):
"""
- def __init__(self, bottom_left=None, top_right=None,
- lats=None, lons=None, **proj_params):
+ def __init__(self, **proj_params):
"""Initialize a :class:`wrf.PolarStereographic` object.
Args:
-
- bottom_left (indexable sequence, optional): The lower left corner
- as a (latitude, longitude) pair. Must also specify *top_right*
- if used. Default is None.
-
- top_right (indexable sequence): The upper right corner as a
- (latitude, longitude) pair. Must also specify *bottom_left*
- if used. Default is None.
-
- lats (:class:`numpy.ndarray`, optional): An array of at least
- two dimensions containing all of the latitude values. Must
- also specify *lons* if used. Default is None.
-
- lons (:class:`numpy.ndarray`, optional): An array of at least
- two dimensions containing all of the longitude values. Must
- also specify *lats* if used. Default is None.
**proj_params: Map projection optional keyword arguments, that
have the same names as found in WRF output NetCDF global
@@ -743,42 +694,49 @@ class PolarStereographic(WrfProj):
return _cf_params
- def _pyngl(self):
+ def _pyngl(self, geobounds, **kwargs):
if not pyngl_enabled():
return None
_pyngl = Resources()
_pyngl.mpProjection = bytes("Stereographic")
_pyngl.mpDataBaseVersion = bytes("MediumRes")
- _pyngl.mpLimitMode = bytes("Corners")
- _pyngl.mpLeftCornerLonF = self.ll_lon
- _pyngl.mpLeftCornerLatF = self.ll_lat
- _pyngl.mpRightCornerLonF = self.ur_lon
- _pyngl.mpRightCornerLatF = self.ur_lat
_pyngl.mpCenterLonF = self.stand_lon
if self._hemi > 0:
_pyngl.mpCenterLatF = 90.0
else:
_pyngl.mpCenterLatF = -90.0
+
+ _pyngl.mpLimitMode = bytes("Corners")
+ _pyngl.mpLeftCornerLonF = geobounds.bottom_left.lon
+ _pyngl.mpLeftCornerLatF = geobounds.bottom_left.lat
+ _pyngl.mpRightCornerLonF = geobounds.top_right.lon
+ _pyngl.mpRightCornerLatF = geobounds.top_right.lat
+
+ for key, val in viewitems(kwargs):
+ setattr(_pyngl, key, val)
return _pyngl
- def _basemap(self, resolution='l'):
+ def _basemap(self, **kwargs):
if not basemap_enabled():
return None
+
+ local_kwargs = dict(projection = "stere",
+ lon_0 = self.stand_lon,
+ lat_0 = self._hemi,
+ lat_ts = self._lat_ts,
+ llcrnrlat = geobounds.bottom_left.lat,
+ urcrnrlat = geobounds.top_right.lat,
+ llcrnrlon = geobounds.bottom_left.lon,
+ urcrnrlon = geobounds.top_right.lon,
+ rsphere = Constants.WRF_EARTH_RADIUS,
+ resolution = "l")
+ local_kwargs.update(kwargs)
- _basemap = Basemap(projection = "stere",
- lon_0 = self.stand_lon,
- lat_0 = self._hemi,
- lat_ts = self._lat_ts,
- llcrnrlat = self.ll_lat,
- urcrnrlat = self.ur_lat,
- llcrnrlon = self.ll_lon,
- urcrnrlon = self.ur_lon,
- rsphere = Constants.WRF_EARTH_RADIUS,
- resolution = resolution)
+ _basemap = Basemap(**local_kwargs)
return _basemap
@@ -794,19 +752,6 @@ class PolarStereographic(WrfProj):
return _cartopy
- def _cart_extents(self):
- # Need to modify the extents for the new projection
- pc = crs.PlateCarree()
- xs, ys, zs = self._cartopy().transform_points(pc,
- np.array([self.ll_lon, self.ur_lon]),
- np.array([self.ll_lat, self.ur_lat])).T
-
- _xlimits = xs.tolist()
- _ylimits = ys.tolist()
-
- return (_xlimits, _ylimits)
-
-
def _proj4(self):
_proj4 = ("+proj=stere +units=meters +a={} +b={} "
"+lat0={} +lon_0={} +lat_ts={}".format(
@@ -830,27 +775,10 @@ class LatLon(WrfProj):
:class:`Mercator`, :class:`LambertConformal`
"""
- def __init__(self, bottom_left=None, top_right=None,
- lats=None, lons=None, **proj_params):
+ def __init__(self, **proj_params):
"""Initialize a :class:`wrf.LatLon` object.
Args:
-
- bottom_left (indexable sequence, optional): The lower left corner
- as a (latitude, longitude) pair. Must also specify *top_right*
- if used. Default is None.
-
- top_right (indexable sequence): The upper right corner as a
- (latitude, longitude) pair. Must also specify *bottom_left*
- if used. Default is None.
-
- lats (:class:`numpy.ndarray`, optional): An array of at least
- two dimensions containing all of the latitude values. Must
- also specify *lons* if used. Default is None.
-
- lons (:class:`numpy.ndarray`, optional): An array of at least
- two dimensions containing all of the longitude values. Must
- also specify *lats* if used. Default is None.
**proj_params: Map projection optional keyword arguments, that
have the same names as found in WRF output NetCDF global
@@ -874,37 +802,44 @@ class LatLon(WrfProj):
return _cf_params
- def _pyngl(self):
+ def _pyngl(self, geobounds, **kwargs):
if not pyngl_enabled():
return None
_pyngl = Resources()
_pyngl.mpProjection = bytes("CylindricalEquidistant")
_pyngl.mpDataBaseVersion = bytes("MediumRes")
- _pyngl.mpLimitMode = bytes("Corners")
- _pyngl.mpLeftCornerLonF = self.ll_lon
- _pyngl.mpLeftCornerLatF = self.ll_lat
- _pyngl.mpRightCornerLonF = self.ur_lon
- _pyngl.mpRightCornerLatF = self.ur_lat
_pyngl.mpCenterLonF = self.stand_lon
_pyngl.mpCenterLatF = self.moad_cen_lat
+ _pyngl.mpLimitMode = bytes("Corners")
+ _pyngl.mpLeftCornerLonF = geobounds.bottom_left.lon
+ _pyngl.mpLeftCornerLatF = geobounds.bottom_left.lat
+ _pyngl.mpRightCornerLonF = geobounds.top_right.lon
+ _pyngl.mpRightCornerLatF = geobounds.top_right.lat
+
+ for key, val in viewitems(kwargs):
+ setattr(_pyngl, key, val)
+
return _pyngl
- def _basemap(self, resolution='l'):
+ def _basemap(self, geobounds, **kwargs):
if not basemap_enabled():
return None
- _basemap = Basemap(projection = "cyl",
- lon_0 = self.stand_lon,
- lat_0 = self.moad_cen_lat,
- llcrnrlat = self.ll_lat,
- urcrnrlat = self.ur_lat,
- llcrnrlon = self.ll_lon,
- urcrnrlon = self.ur_lon,
- rsphere = Constants.WRF_EARTH_RADIUS,
- resolution = resolution)
+ local_kwargs = dict(projection = "cyl",
+ lon_0 = self.stand_lon,
+ lat_0 = self.moad_cen_lat,
+ llcrnrlat = geobounds.bottom_left.lat,
+ urcrnrlat = geobounds.top_right.lat,
+ llcrnrlon = geobounds.bottom_left.lon,
+ urcrnrlon = geobounds.top_right.lon,
+ rsphere = Constants.WRF_EARTH_RADIUS,
+ resolution = "l")
+
+ local_kwargs.update(kwargs)
+ _basemap = Basemap(**local_kwargs)
return _basemap
@@ -919,8 +854,9 @@ class LatLon(WrfProj):
return _cartopy
- def _cart_extents(self):
- return ([self.ll_lon, self.ur_lon], [self.ll_lat, self.ur_lat])
+ def _cart_extents(self, geobounds):
+ return ([geobounds.bottom_left.lon, geobounds.top_right.lon],
+ [geobounds.bottom_left.lat, geobounds.top_right.lat])
def _proj4(self):
@@ -971,27 +907,10 @@ class RotatedLatLon(WrfProj):
:class:`Mercator`, :class:`LambertConformal`
"""
- def __init__(self, bottom_left=None, top_right=None,
- lats=None, lons=None, **proj_params):
+ def __init__(self, **proj_params):
"""Initialize a :class:`wrf.RotatedLatLon` object.
Args:
-
- bottom_left (indexable sequence, optional): The lower left corner
- as a (latitude, longitude) pair. Must also specify *top_right*
- if used. Default is None.
-
- top_right (indexable sequence): The upper right corner as a
- (latitude, longitude) pair. Must also specify *bottom_left*
- if used. Default is None.
-
- lats (:class:`numpy.ndarray`, optional): An array of at least
- two dimensions containing all of the latitude values. Must
- also specify *lons* if used. Default is None.
-
- lons (:class:`numpy.ndarray`, optional): An array of at least
- two dimensions containing all of the longitude values. Must
- also specify *lats* if used. Default is None.
**proj_params: Map projection optional keyword arguments, that
have the same names as found in WRF output NetCDF global
@@ -1005,8 +924,7 @@ class RotatedLatLon(WrfProj):
- 'POLE_LON': Pole longitude.
"""
- super(RotatedLatLon, self).__init__(bottom_left, top_right,
- lats, lons, **proj_params)
+ super(RotatedLatLon, self).__init__(**proj_params)
# Need to determine hemisphere, typically pole_lon is 0 for southern
# hemisphere, 180 for northern hemisphere. If not, going to have
@@ -1062,38 +980,46 @@ class RotatedLatLon(WrfProj):
return _cf_params
- def _pyngl(self):
+ def _pyngl(self, geobounds, **kwargs):
if not pyngl_enabled():
return None
_pyngl = Resources()
_pyngl.mpProjection = bytes("CylindricalEquidistant")
_pyngl.mpDataBaseVersion = bytes("MediumRes")
- _pyngl.mpLimitMode = bytes("Corners")
- _pyngl.mpLeftCornerLonF = self.ll_lon
- _pyngl.mpLeftCornerLatF = self.ll_lat
- _pyngl.mpRightCornerLonF = self.ur_lon
- _pyngl.mpRightCornerLatF = self.ur_lat
_pyngl.mpCenterLatF = self._pyngl_cen_lat
_pyngl.mpCenterLonF = self._pyngl_cen_lon
+ _pyngl.mpLimitMode = bytes("Corners")
+ _pyngl.mpLeftCornerLonF = geobounds.bottom_left.lon
+ _pyngl.mpLeftCornerLatF = geobounds.bottom_left.lat
+ _pyngl.mpRightCornerLonF = geobounds.top_right.lon
+ _pyngl.mpRightCornerLatF = geobounds.top_right.lat
+
+ for key, val in viewitems(kwargs):
+ setattr(_pyngl, key, val)
+
return _pyngl
- def _basemap(self, resolution='l'):
+ def _basemap(self, geobounds, **kwargs):
if not basemap_enabled():
return None
- _basemap = Basemap(projection = "rotpole",
- o_lat_p = self._bm_cart_pole_lat,
- o_lon_p = self.pole_lon,
- llcrnrlat = self.ll_lat,
- urcrnrlat = self.ur_lat,
- llcrnrlon = self.ll_lon,
- urcrnrlon = self.ur_lon,
- lon_0 = self._bm_lon_0,
- rsphere = Constants.WRF_EARTH_RADIUS,
- resolution = resolution)
+ local_kwargs = dict(projection = "rotpole",
+ o_lat_p = self._bm_cart_pole_lat,
+ o_lon_p = self.pole_lon,
+ llcrnrlat = geobounds.bottom_left.lat,
+ urcrnrlat = geobounds.top_right.lat,
+ llcrnrlon = geobounds.bottom_left.lon,
+ urcrnrlon = geobounds.top_right.lon,
+ lon_0 = self._bm_lon_0,
+ rsphere = Constants.WRF_EARTH_RADIUS,
+ resolution = "l")
+
+ local_kwargs.update(kwargs)
+ _basemap = Basemap(**local_kwargs)
+
return _basemap
@@ -1109,20 +1035,6 @@ class RotatedLatLon(WrfProj):
globe = self._globe())
return _cartopy
-
- def _cart_extents(self):
- # Need to modify the extents for the new projection
- pc = crs.PlateCarree()
- xs, ys, zs = self._cartopy().transform_points(pc,
- np.array([self.ll_lon, self.ur_lon]),
- np.array([self.ll_lat, self.ur_lat])).T
-
- _xlimits = xs.tolist()
- _ylimits = ys.tolist()
-
- return (_xlimits, _ylimits)
-
-
def _proj4(self):
_proj4 = ("+proj=ob_tran +o_proj=latlon "
"+a={} +b={} +to_meter={} +o_lon_p={} +o_lat_p={} "
@@ -1135,30 +1047,13 @@ class RotatedLatLon(WrfProj):
return _proj4
-def getproj(bottom_left=None, top_right=None,
- lats=None, lons=None, **proj_params):
+def getproj(**proj_params):
"""Return a :class:`wrf.WrfProj` subclass.
This functions serves as a factory function for returning a
:class:`wrf.WrfProj` subclass from the specified map projection parameters.
Args:
-
- bottom_left (:class:`wrf.CoordPair`, optional): The lower left
- corner. Must also specify *top_right* if used.
- Default is None.
-
- top_right (:class:`wrf.CoordPair`, optional): The upper right
- corner. Must also specify *bottom_left* if used.
- Default is None.
-
- lats (:class:`numpy.ndarray`, optional): An array of at least
- two dimensions containing all of the latitude values. Must
- also specify *lons* if used. Default is None.
-
- lons (:class:`numpy.ndarray`, optional): An array of at least
- two dimensions containing all of the longitude values. Must
- also specify *lats* if used. Default is None.
**proj_params: Map projection optional keyword arguments, that
have the same names as found in WRF output NetCDF global
@@ -1183,26 +1078,20 @@ def getproj(bottom_left=None, top_right=None,
proj_type = up_proj_params.get("MAP_PROJ", 0)
if proj_type == ProjectionTypes.LAMBERT_CONFORMAL:
- return LambertConformal(bottom_left, top_right,
- lats, lons, **proj_params)
+ return LambertConformal(**proj_params)
elif proj_type == ProjectionTypes.POLAR_STEREOGRAPHIC:
- return PolarStereographic(bottom_left, top_right,
- lats, lons, **proj_params)
+ return PolarStereographic(**proj_params)
elif proj_type == ProjectionTypes.MERCATOR:
- return Mercator(bottom_left, top_right,
- lats, lons, **proj_params)
+ return Mercator(**proj_params)
elif (proj_type == ProjectionTypes.ZERO or
proj_type == ProjectionTypes.LAT_LON):
if (up_proj_params.get("POLE_LAT", None) == 90.
and up_proj_params.get("POLE_LON", None) == 0.):
- return LatLon(bottom_left, top_right,
- lats, lons, **proj_params)
+ return LatLon(**proj_params)
else:
- return RotatedLatLon(bottom_left, top_right,
- lats, lons, **proj_params)
+ return RotatedLatLon(**proj_params)
else:
# Unknown projection
- return WrfProj(bottom_left, top_right,
- lats, lons, **proj_params)
+ return WrfProj(**proj_params)
\ No newline at end of file
diff --git a/src/wrf/util.py b/src/wrf/util.py
index 18a116f..54673c4 100644
--- a/src/wrf/util.py
+++ b/src/wrf/util.py
@@ -28,6 +28,9 @@ from .projection import getproj, NullProjection
from .constants import Constants, ALL_TIMES
from .py3compat import (viewitems, viewkeys, isstr, py3range, ucode)
from .cache import cache_item, get_cached_item
+from .coordpair import CoordPair
+from .geobnds import GeoBounds, NullGeoBounds
+
if xarray_enabled():
from xarray import DataArray
@@ -1072,6 +1075,66 @@ def _find_max_time_size(wrfseq):
return max_times
+def _get_coord_names(wrfin, varname):
+
+ # Need only the first real file
+ if is_multi_file(wrfin):
+ if not is_mapping(wrfin):
+ wrfnc = next(iter(wrfin))
+ else:
+ entry = wrfin[next(iter(viewkeys(wrfin)))]
+ return _get_coord_names(entry, varname)
+ else:
+ wrfnc = wrfin
+
+ lat_coord = None
+ lon_coord = None
+ time_coord = None
+
+ var = wrfnc.variables[varname]
+
+ # WRF variables will have a coordinates attribute. MET_EM files have
+ # a stagger attribute which indicates the coordinate variable.
+ try:
+ # WRF files
+ coord_attr = getattr(var, "coordinates")
+ except AttributeError:
+
+ if is_coordvar(varname):
+ # Coordinate variable (most likely XLAT or XLONG)
+ lat_coord, lon_coord = get_coord_pairs(varname)
+ time_coord = None
+
+ if has_time_coord(wrfnc):
+ time_coord = "XTIME"
+
+ elif is_time_coord_var(varname):
+ lon_coord = None
+ lat_coord = None
+ time_coord = None
+ else:
+ try:
+ # met_em files
+ stag_attr = getattr(var, "stagger")
+ except AttributeError:
+ lon_coord = None
+ lat_coord = None
+ else:
+ # For met_em files, use the stagger name to get the lat/lon var
+ lat_coord = "XLAT_{}".format(stag_attr)
+ lon_coord = "XLONG_{}".format(stag_attr)
+ else:
+ coord_names = coord_attr.split()
+ lon_coord = coord_names[0]
+ lat_coord = coord_names[1]
+
+ try:
+ time_coord = coord_names[2]
+ except IndexError:
+ time_coord = None
+
+ return lat_coord, lon_coord, time_coord
+
def _build_data_array(wrfnc, varname, timeidx, is_moving_domain, is_multifile,
_key):
@@ -1115,7 +1178,6 @@ def _build_data_array(wrfnc, varname, timeidx, is_moving_domain, is_multifile,
time_idx_or_slice = timeidx if not multitime else slice(None)
var = wrfnc.variables[varname]
data = var[time_idx_or_slice, :]
- time_coord = None
# Want to preserve the time dimension
if not multitime:
@@ -1124,45 +1186,7 @@ def _build_data_array(wrfnc, varname, timeidx, is_moving_domain, is_multifile,
attrs = OrderedDict(var.__dict__)
dimnames = var.dimensions[-data.ndim:]
- # WRF variables will have a coordinates attribute. MET_EM files have
- # a stagger attribute which indicates the coordinate variable.
- try:
- # WRF files
- coord_attr = getattr(var, "coordinates")
- except AttributeError:
-
- if is_coordvar(varname):
- # Coordinate variable (most likely XLAT or XLONG)
- lat_coord, lon_coord = get_coord_pairs(varname)
- time_coord = None
-
- if has_time_coord(wrfnc):
- time_coord = "XTIME"
-
- elif is_time_coord_var(varname):
- lon_coord = None
- lat_coord = None
- time_coord = None
- else:
- try:
- # met_em files
- stag_attr = getattr(var, "stagger")
- except AttributeError:
- lon_coord = None
- lat_coord = None
- else:
- # For met_em files, use the stagger name to get the lat/lon var
- lat_coord = "XLAT_{}".format(stag_attr)
- lon_coord = "XLONG_{}".format(stag_attr)
- else:
- coord_names = coord_attr.split()
- lon_coord = coord_names[0]
- lat_coord = coord_names[1]
-
- try:
- time_coord = coord_names[2]
- except IndexError:
- time_coord = None
+ lat_coord, lon_coord, time_coord = _get_coord_names(wrfnc, varname)
coords = OrderedDict()
@@ -1174,43 +1198,43 @@ def _build_data_array(wrfnc, varname, timeidx, is_moving_domain, is_multifile,
lon_coord_valkey = lon_coord + "_val"
lat_coord_dimkey = lat_coord + "_dim"
lat_coord_valkey = lat_coord + "_val"
-
+
lon_coord_dims = get_cached_item(_key, lon_coord_dimkey)
lon_coord_vals = get_cached_item(_key, lon_coord_valkey)
if lon_coord_dims is None or lon_coord_vals is None:
lon_var = wrfnc.variables[lon_coord]
lon_coord_dims = lon_var.dimensions
lon_coord_vals = lon_var[:]
-
+
# Only cache here if the domain is not moving, otherwise
# caching is handled by cat/join
if not is_moving_domain:
cache_item(_key, lon_coord_dimkey, lon_coord_dims)
cache_item(_key, lon_coord_valkey, lon_coord_vals)
-
+
lat_coord_dims = get_cached_item(_key, lat_coord_dimkey)
lat_coord_vals = get_cached_item(_key, lat_coord_valkey)
if lat_coord_dims is None or lat_coord_vals is None:
lat_var = wrfnc.variables[lat_coord]
lat_coord_dims = lat_var.dimensions
lat_coord_vals = lat_var[:]
-
+
# Only cache here if the domain is not moving, otherwise
# caching is done in cat/join
if not is_moving_domain:
cache_item(_key, lat_coord_dimkey, lat_coord_dims)
cache_item(_key, lat_coord_valkey, lat_coord_vals)
-
+
time_coord_vals = None
if time_coord is not None:
# If not from a multifile sequence, then cache the time
# coordinate. Otherwise, handled in cat/join/
if not is_multifile:
time_coord_vals = get_cached_item(_key, time_coord)
-
+
if time_coord_vals is None:
time_coord_vals = wrfnc.variables[time_coord][:]
-
+
if not is_multifile:
cache_item(_key, time_coord, time_coord_vals)
else:
@@ -1223,25 +1247,12 @@ def _build_data_array(wrfnc, varname, timeidx, is_moving_domain, is_multifile,
coords[lon_coord] = lon_coord_dims, lon_coord_vals
coords[lat_coord] = lat_coord_dims, lat_coord_vals
- # Returned lats/lons arrays will have a time dimension, so proj
- # will need to be a list due to moving corner points
- lats, lons, proj_params = get_proj_params(wrfnc,
- timeidx,
- varname)
- proj = [getproj(lats=lats[i,:],
- lons=lons[i,:],
- **proj_params) for i in py3range(lats.shape[0])]
-
else:
coords[lon_coord] = (lon_coord_dims[1:],
lon_coord_vals[0,:])
coords[lat_coord] = (lat_coord_dims[1:],
lat_coord_vals[0,:])
- # Domain not moving, so just get the first time
- lats, lons, proj_params = get_proj_params(wrfnc, 0, varname)
- proj = getproj(lats=lats, lons=lons, **proj_params)
-
if time_coord is not None:
coords[time_coord] = (lon_coord_dims[0], time_coord_vals)
else:
@@ -1253,11 +1264,9 @@ def _build_data_array(wrfnc, varname, timeidx, is_moving_domain, is_multifile,
if time_coord is not None:
coords[time_coord] = (lon_coord_dims[0],
[time_coord_vals[timeidx]])
-
-
- lats, lons, proj_params = get_proj_params(wrfnc, 0, varname)
- proj = getproj(lats=lats, lons=lons, **proj_params)
+ proj_params = get_proj_params(wrfnc)
+ proj = getproj(**proj_params)
attrs["projection"] = proj
@@ -1531,17 +1540,14 @@ def _cat_files(wrfseq, varname, timeidx, is_moving, squeeze, meta, _key):
timecached = False
latcached = False
loncached = False
- projcached = False
outxtimes = None
outlats = None
outlons = None
- outprojs = None
timekey = timename+"_cat" if timename is not None else None
latkey = latname + "_cat" if latname is not None else None
lonkey = lonname + "_cat" if lonname is not None else None
- projkey = "projection_cat" if is_moving else None
if timename is not None:
outxtimes = get_cached_item(_key, timekey)
@@ -1570,16 +1576,6 @@ def _cat_files(wrfseq, varname, timeidx, is_moving, squeeze, meta, _key):
outlons[startidx:endidx, :] = to_np(first_var.coords[lonname][:])
else:
loncached = True
-
- # Projections also need to be aggregated
-
- outprojs = get_cached_item(_key, projkey)
- if outprojs is None:
- outprojs = np.empty(outdims[0], np.object)
- outprojs[startidx:endidx] = np.asarray(
- first_var.attrs["projection"], np.object)[:]
- else:
- projcached = True
startidx = endidx
@@ -1610,17 +1606,6 @@ def _cat_files(wrfseq, varname, timeidx, is_moving, squeeze, meta, _key):
if lonname is not None and not loncached:
londata = wrfnc.variables[lonname][:]
outlons[startidx:endidx, :] = londata[:]
-
- if not projcached:
- lats, lons, proj_params = get_proj_params(wrfnc,
- ALL_TIMES,
- varname)
- projs = [getproj(lats=lats[i,:],
- lons=lons[i,:],
- **proj_params) for i in py3range(lats.shape[0])]
-
- outprojs[startidx:endidx] = np.asarray(projs,
- np.object)[:]
startidx = endidx
@@ -1631,8 +1616,6 @@ def _cat_files(wrfseq, varname, timeidx, is_moving, squeeze, meta, _key):
cache_item(_key, latkey, outlats)
if not loncached and outlons is not None:
cache_item(_key, lonkey, outlons)
- if not projcached and outprojs is not None:
- cache_item(_key, projkey, outprojs)
if not timecached and outxtimes is not None:
cache_item(_key, timekey, outxtimes)
@@ -1666,8 +1649,6 @@ def _cat_files(wrfseq, varname, timeidx, is_moving, squeeze, meta, _key):
if lonname is not None:
outlons = outlons[:]
outcoords[lonname] = outlatdims, outlons
-
- outattrs["projection"] = outprojs[:]
outdata = outdata[:]
@@ -1798,17 +1779,14 @@ def _join_files(wrfseq, varname, timeidx, is_moving, meta, _key):
timecached = False
latcached = False
loncached = False
- projcached = False
outxtimes = None
outlats = None
outlons = None
- outprojs = None
timekey = timename+"_join" if timename is not None else None
latkey = latname + "_join" if latname is not None else None
lonkey = lonname + "_join" if lonname is not None else None
- projkey = "projection_join" if is_moving else None
if timename is not None:
outxtimes = get_cached_item(_key, timekey)
@@ -1839,20 +1817,7 @@ def _join_files(wrfseq, varname, timeidx, is_moving, meta, _key):
first_var.coords[lonname][:])
else:
loncached = True
-
- # Projections also need two dimensions
- outprojs = get_cached_item(_key, projkey)
- if outprojs is None:
- outprojs = np.full(outdims[0:2], NullProjection(), np.object)
-
- outprojs[file_idx, 0:numtimes] = np.asarray(
- first_var.attrs["projection"],
- np.object)[:]
- else:
- projcached = True
-
-
file_idx=1
while True:
try:
@@ -1889,17 +1854,6 @@ def _join_files(wrfseq, varname, timeidx, is_moving, meta, _key):
if lonname is not None and not loncached:
londata = wrfnc.variables[lonname][:]
outlons[file_idx, 0:numtimes, :] = londata[:]
-
- if not projcached:
- lats, lons, proj_params = get_proj_params(wrfnc,
- ALL_TIMES,
- varname)
- projs = [getproj(lats=lats[i,:],
- lons=lons[i,:],
- **proj_params) for i in py3range(lats.shape[0])]
-
- outprojs[file_idx, 0:numtimes] = (
- np.asarray(projs, np.object)[:])
# Need to update coords here
file_idx += 1
@@ -1916,8 +1870,6 @@ def _join_files(wrfseq, varname, timeidx, is_moving, meta, _key):
cache_item(_key, latkey, outlats)
if not loncached and outlons is not None:
cache_item(_key, lonkey, outlons)
- if not projcached and outprojs is not None:
- cache_item(_key, projkey, outprojs)
if not timecached and outxtimes is not None:
cache_item(_key, timekey, outxtimes)
@@ -1962,11 +1914,6 @@ def _join_files(wrfseq, varname, timeidx, is_moving, meta, _key):
outlons = outlons[:, np.newaxis, :]
outcoords[lonname] = outlatdims, outlons
- if not multitime:
- outattrs["projection"] = outprojs[:, timeidx]
- else:
- outattrs["projection"] = outprojs
-
if not multitime:
outdata = outdata[:, timeidx, :]
outdata = outdata[:, np.newaxis, :]
@@ -2575,7 +2522,7 @@ def get_right_slices(var, right_ndims, fixed_val=0):
[slice(None)]*right_ndims)
-def get_proj_params(wrfin, timeidx=0, varname=None):
+def get_proj_params(wrfin):#, timeidx=0, varname=None):
"""Return a tuple of latitude, longitude, and projection parameters from
a WRF output file object or a sequence of WRF output file objects.
@@ -2608,26 +2555,28 @@ def get_proj_params(wrfin, timeidx=0, varname=None):
"MOAD_CEN_LAT", "STAND_LON",
"POLE_LAT", "POLE_LON",
"DX", "DY"))
- multitime = is_multi_time_req(timeidx)
- if not multitime:
- time_idx_or_slice = timeidx
- else:
- time_idx_or_slice = slice(None)
-
- if varname is not None:
- if not is_coordvar(varname):
- coord_names = getattr(wrfin.variables[varname],
- "coordinates").split()
- lon_coord = coord_names[0]
- lat_coord = coord_names[1]
- else:
- lat_coord, lon_coord = get_coord_pairs(varname)
- else:
- lat_coord, lon_coord = latlon_coordvars(wrfin.variables)
- return (wrfin.variables[lat_coord][time_idx_or_slice,:],
- wrfin.variables[lon_coord][time_idx_or_slice,:],
- proj_params)
+ return proj_params
+# multitime = is_multi_time_req(timeidx)
+# if not multitime:
+# time_idx_or_slice = timeidx
+# else:
+# time_idx_or_slice = slice(None)
+#
+# if varname is not None:
+# if not is_coordvar(varname):
+# coord_names = getattr(wrfin.variables[varname],
+# "coordinates").split()
+# lon_coord = coord_names[0]
+# lat_coord = coord_names[1]
+# else:
+# lat_coord, lon_coord = get_coord_pairs(varname)
+# else:
+# lat_coord, lon_coord = latlon_coordvars(wrfin.variables)
+#
+# return (wrfin.variables[lat_coord][time_idx_or_slice,:],
+# wrfin.variables[lon_coord][time_idx_or_slice,:],
+# proj_params)
def from_args(func, argnames, *args, **kwargs):
@@ -2942,6 +2891,735 @@ def get_id(obj):
# until a non-mapping is found
return {key : get_id(val) for key,val in viewitems(obj)}
+
+def geobounds(var=None, wrfin=None, varname=None, timeidx=0, method="cat",
+ squeeze=True, cache=None):
+ """Return the geographic boundaries for the variable or file(s).
+
+ When using a :class:`xarray.DataArray` as the *var* parameter, the variable
+ must contain latitude and longitude coordinates. If these coordinate
+ dimensions are greater than two dimensions, then an array of
+ :class:`wrf.GeoBounds` objects will be returned with the same shape as the
+ leftmost dimensions of the coordinate arrays.
+
+ When using a WRF file, or sequence of WRF files, by supplying the
+ *wrfin* parameter, an array of :class:`wrf.GeoBounds` objects will be
+ returned if the domain is moving and :data:`wrf.ALL_TIMES` is selected as
+ the *timeidx* parameter when using *wrfin*. Otherwise, a single
+ :class:`wrf.GeoBounds` object is returned.
+
+ Args:
+
+ var (:class:`xarray.DataArray`, optional): A :class:`xarray.DataArray`
+ variable that includes latitude,longitude coordinate information.
+ If not used, then *wrfin* must be provided.
+
+ wrfin (:class:`netCDF4.Dataset`, :class:`Nio.NioFile`, or an \
+ iterable, optional): Input WRF ARW NetCDF
+ data as a :class:`netCDF4.Dataset`, :class:`Nio.NioFile`
+ or an iterable sequence of the aforementioned types. If not used,
+ then *var* must be provided.
+
+ varname (:obj:`str`, optional): If using *wrfin*, then this will be the
+ variable name to use to determine the geobounds. The variable
+ can be a coordinate variable, or a regular variable that contains
+ coordinate attributes. If None,
+ then the 'XLAT', 'XLAT_M', 'XLONG', 'XLONG_M' variables
+ will be used.
+
+ timeidx (:obj:`int` or :data:`wrf.ALL_TIMES`, optional): The
+ desired time index when *wrfin* is not None. This value can be a
+ positive integer, negative integer, or
+ :data:`wrf.ALL_TIMES` (an alias for None) to return
+ all times in the file or sequence. Default is 0. This value is
+ ignored when *var* is used.
+
+ method (:obj:`str`, optional): The aggregation method to use for
+ sequences when *wrfin* is not None. Must be either 'cat' or
+ 'join'. 'cat' combines the data along the Time dimension.
+ 'join' creates a new dimension for the file index.
+ The default is 'cat'.
+
+ squeeze (:obj:`bool`, optional): Set to False to prevent dimensions
+ with a size of 1 from being automatically removed from the shape
+ of the output. Only used when *wrfin* is used. Default is True.
+
+ cache (:obj:`dict`, optional): A dictionary of (varname, ndarray)
+ that can be used to supply pre-extracted NetCDF variables to the
+ computational routines. It is primarily used for internal
+ purposes, but can also be used to improve performance by
+ eliminating the need to repeatedly extract the same variables
+ used in multiple diagnostics calculations, particularly when using
+ large sequences of files. Only used when *wrfin* is used.
+ Default is None.
+
+ Returns:
+
+ :class:`wrf.GeoBounds`: The domain geographic bounds.
+
+ """
+
+ if var is None and wrfin is None:
+ raise ValueError("'var' or 'wrfin' parameter is required")
+
+ # Getting lat/lon from xarray coordinates
+ if var is not None:
+ is_moving = None
+ try:
+ var_coords = var.coords
+ except AttributeError:
+ raise ValueError("'var' object does not contain coordinate "
+ "attributes")
+
+ latname, lonname, _ = _find_coord_names(var_coords)
+ try:
+ lats = to_np(var_coords[latname])
+ except KeyError:
+ raise ValueError("'var' object does not contain a latitude "
+ "coordinate")
+ try:
+ lons = to_np(var_coords[lonname])
+ except KeyError:
+ raise ValueError("'var' object does not contain a longitude "
+ "coordinate")
+
+ # Getting lat/lon from the file
+ elif wrfin is not None:
+ _key = get_id(wrfin)
+ is_moving = is_moving_domain(wrfin, varname=varname,
+ latvar=either("XLAT", "XLAT_M"),
+ lonvar=either("XLONG", "XLONG_M"),
+ _key=_key)
+ if varname is not None:
+ if xarray_enabled():
+ var = extract_vars(wrfin, timeidx, varname, method, squeeze,
+ cache, meta=True, _key=_key)[varname]
+ return geobounds(var)
+ else:
+ lat_coord, lon_coord, _ = _get_coord_names(wrfin, varname)
+ else:
+ lat_coord = either("XLAT", "XLAT_M")(wrfin)
+ lon_coord = either("XLONG", "XLONG_M")(wrfin)
+
+ # If requesting all times but the domain isn't moving, just
+ # extract one time
+ _timeidx = timeidx
+ if timeidx is None and not is_moving:
+ _timeidx = 0
+
+ coord_data = extract_vars(wrfin, _timeidx, (lat_coord, lon_coord),
+ method, squeeze, cache, meta=False,
+ _key=_key)
+ lats = coord_data[lat_coord]
+ lons = coord_data[lon_coord]
+
+ # Moving domains
+ if lats.ndim > 2:
+ # Requesting all times, works for 'cat' and 'join' data
+ # and always for xarray data
+ extra_dims = lats.shape[0:-2]
+ out_geo = np.full(extra_dims, NullGeoBounds(), np.object)
+
+ for left_idxs in iter_left_indexes(extra_dims):
+ latlon_idx = left_idxs + (slice(None),)
+ out_geo[left_idxs] = GeoBounds(lats=lats[latlon_idx],
+ lons=lons[latlon_idx])
+ return out_geo
+
+ # Non-moving domains
+ return GeoBounds(lats=lats, lons=lons)
+
+def _get_wrf_proj_geobnds(var, wrfin, varname, timeidx, method, squeeze,
+ cache):
+ """Return the :class:`wrf.WrfProj` subclass and :class:`wrf.GeoBounds`.
+
+ Args:
+
+ var (:class:`xarray.DataArray`): A :class:`xarray.DataArray`
+ variable that includes latitude,longitude coordinate information.
+ If not used, then *wrfin* must be provided.
+
+ wrfin (:class:`netCDF4.Dataset`, :class:`Nio.NioFile`, or an \
+ iterable): Input WRF ARW NetCDF
+ data as a :class:`netCDF4.Dataset`, :class:`Nio.NioFile`
+ or an iterable sequence of the aforementioned types. If not used,
+ then *var* must be provided.
+
+ varname (:obj:`str`): If using *wrfin*, then this will be the
+ variable name to use to determine the geobounds. The variable
+ can be a coordinate variable, or a regular variable that contains
+ coordinate attributes. If None,
+ then the 'XLAT', 'XLAT_M', 'XLONG', 'XLONG_M' variables
+ will be used.
+
+ timeidx (:obj:`int` or :data:`wrf.ALL_TIMES`): The
+ desired time index. This value can be a positive integer,
+ negative integer, or
+ :data:`wrf.ALL_TIMES` (an alias for None) to return
+ all times in the file or sequence. Default is 0.
+
+ method (:obj:`str`): The aggregation method to use for
+ sequences. Must be either 'cat' or 'join'.
+ 'cat' combines the data along the Time dimension.
+ 'join' creates a new dimension for the file index.
+ The default is 'cat'.
+
+ squeeze (:obj:`bool`): Set to False to prevent dimensions
+ with a size of 1 from being automatically removed from the shape
+ of the output. Default is True.
+
+ cache (:obj:`dict`): A dictionary of (varname, ndarray)
+ that can be used to supply pre-extracted NetCDF variables to the
+ computational routines. It is primarily used for internal
+ purposes, but can also be used to improve performance by
+ eliminating the need to repeatedly extract the same variables
+ used in multiple diagnostics calculations, particularly when using
+ large sequences of files.
+ Default is None.
+
+ Returns:
+
+ :obj:`tuple`: A tuple of :class:`wrf.WrfProj`
+ and :class:`wrf.GeoBounds`
+
+ """
+ # Using a variable
+ if var is not None:
+ geobnds = geobounds(var)
+ wrf_proj = var.attrs["projection"]
+ else:
+ geobnds = geobounds(wrfin=wrfin, varname=varname, timeidx=timeidx,
+ method=method, cache=cache)
+ proj_params = get_proj_params(wrfin)
+ wrf_proj = getproj(**proj_params)
+
+ return wrf_proj, geobnds
+
+
+def _get_proj_obj(ob_type, var, wrfin, varname, timeidx, method, squeeze,
+ cache, **kwargs):
+ """Return the desired mapping object for the plotting type.
+
+ Args:
+
+ ob_type (:obj:`str`): Must be 'cartopy', 'basemap', or 'pyngl'.
+
+ var (:class:`xarray.DataArray`): A :class:`xarray.DataArray`
+ variable that includes latitude,longitude coordinate information.
+ If not used, then *wrfin* must be provided.
+
+ wrfin (:class:`netCDF4.Dataset`, :class:`Nio.NioFile`, or an \
+ iterable): Input WRF ARW NetCDF
+ data as a :class:`netCDF4.Dataset`, :class:`Nio.NioFile`
+ or an iterable sequence of the aforementioned types. If not used,
+ then *var* must be provided.
+
+ varname (:obj:`str`): If using *wrfin*, then this will be the
+ variable name to use to determine the geobounds. The variable
+ can be a coordinate variable, or a regular variable that contains
+ coordinate attributes. If None,
+ then the 'XLAT', 'XLAT_M', 'XLONG', 'XLONG_M' variables
+ will be used.
+
+ timeidx (:obj:`int` or :data:`wrf.ALL_TIMES`): The
+ desired time index. This value can be a positive integer,
+ negative integer, or
+ :data:`wrf.ALL_TIMES` (an alias for None) to return
+ all times in the file or sequence. Default is 0.
+
+ method (:obj:`str`): The aggregation method to use for
+ sequences. Must be either 'cat' or 'join'.
+ 'cat' combines the data along the Time dimension.
+ 'join' creates a new dimension for the file index.
+ The default is 'cat'.
+
+ squeeze (:obj:`bool`): Set to False to prevent dimensions
+ with a size of 1 from being automatically removed from the shape
+ of the output. Default is True.
+
+ cache (:obj:`dict`): A dictionary of (varname, ndarray)
+ that can be used to supply pre-extracted NetCDF variables to the
+ computational routines. It is primarily used for internal
+ purposes, but can also be used to improve performance by
+ eliminating the need to repeatedly extract the same variables
+ used in multiple diagnostics calculations, particularly when using
+ large sequences of files.
+ Default is None.
+
+ **kwargs: Additional keyword arguments for the plotting type.
+
+ Returns:
+
+ mapping object: Will be either :class:`cartopy.crs.Projection`,
+ :class:`matplotlib.mpl_toolkits.basemap.Basemap` or
+ :class:`Ngl.Resources`.
+
+ """
+
+ wrf_proj, geobnds = _get_wrf_proj_geobnds(var, wrfin, varname, timeidx,
+ method, squeeze, cache)
+
+ if ob_type == "cartopy":
+ proj_obj = wrf_proj.cartopy()
+ elif ob_type == "basemap":
+ try:
+ _ = len(geobnds)
+ except TypeError: # Only a single object
+ proj_obj = wrf_proj.basemap(geobnds, **kwargs)
+ else:
+ proj_obj = np.empty(geobnds.shape, np.object)
+
+ for idxs, geobnd_val in np.ndenumerate(geobnds):
+ proj_obj[idxs] = wrf_proj.basemap(geobnd_val, **kwargs)
+ elif ob_type == "pyngl":
+ try:
+ _ = len(geobnds)
+ except TypeError: # Only a single object
+ proj_obj = wrf_proj.pyngl(geobnds, **kwargs)
+ else:
+ proj_obj = np.empty(geobnds.shape, np.object)
+
+ for idxs, geobnd_val in np.ndenumerate(geobnds):
+ proj_obj[idxs] = wrf_proj.pyngl(geobnd_val, **kwargs)
+
+ return proj_obj
+
+def latlon_coords(var, as_np=False):
+ """Return the latitude and longitude coordinates from a
+ :class:`xarray.DataArray` object.
+
+ Args:
+
+ var (:class:`xarray.DataArray`): A variable.
+
+ to_np (:obj:`bool`): Set to True to return the coordinates as
+ :class:`numpy.ndarray` objects instead of
+ :class:`xarray.DataArray` objects.
+
+ Returns:
+
+ :obj:`tuple`: The latitude and longitude coordinate variables.
+
+ """
+
+ try:
+ var_coords = var.coords
+ except AttributeError:
+ raise ValueError("'var' object does not contain coordinate "
+ "attributes")
+
+ latname, lonname, _ = _find_coord_names(var_coords)
+ try:
+ lats = var_coords[latname]
+ except KeyError:
+ raise ValueError("'var' object does not contain a latitude "
+ "coordinate")
+ try:
+ lons = var_coords[lonname]
+ except KeyError:
+ raise ValueError("'var' object does not contain a longitude "
+ "coordinate")
+
+ if as_np:
+ return to_np(lats), to_np(lons)
+
+ return lats, lons
+
+
+
+
+def get_cartopy(var=None, wrfin=None, varname=None, timeidx=0, method="cat",
+ squeeze=True, cache=None):
+ """Return a :class:`cartopy.crs.Projection` subclass for the
+ map projection.
+
+ Args:
+
+ var (:class:`xarray.DataArray`, optional): A :class:`xarray.DataArray`
+ variable that includes latitude,longitude coordinate information.
+ If not used, then *wrfin* must be provided.
+
+ geobounds (:class:`wrf.GeoBounds`, optional): The geobounds to
+ get the extents. If set to None and using the *var* parameter,
+ the geobounds will be taken from the variable. If using a
+ file, then the geobounds will be taken from the native grid.
+
+ wrfin (:class:`netCDF4.Dataset`, :class:`Nio.NioFile`, or an \
+ iterable, optional): Input WRF ARW NetCDF
+ data as a :class:`netCDF4.Dataset`, :class:`Nio.NioFile`
+ or an iterable sequence of the aforementioned types. If not used,
+ then *var* must be provided.
+
+ varname (:obj:`str`, optional): If using *wrfin*, then this will be the
+ variable name to use to determine the geobounds. The variable
+ can be a coordinate variable, or a regular variable that contains
+ coordinate attributes. If None,
+ then the 'XLAT', 'XLAT_M', 'XLONG', 'XLONG_M' variables
+ will be used.
+
+ timeidx (:obj:`int` or :data:`wrf.ALL_TIMES`, optional): The
+ desired time index. This value can be a positive integer,
+ negative integer, or
+ :data:`wrf.ALL_TIMES` (an alias for None) to return
+ all times in the file or sequence. Default is 0.
+
+ method (:obj:`str`, optional): The aggregation method to use for
+ sequences. Must be either 'cat' or 'join'.
+ 'cat' combines the data along the Time dimension.
+ 'join' creates a new dimension for the file index.
+ The default is 'cat'.
+
+ squeeze (:obj:`bool`, optional): Set to False to prevent dimensions
+ with a size of 1 from being automatically removed from the shape
+ of the output. Default is True.
+
+ cache (:obj:`dict`, optional): A dictionary of (varname, ndarray)
+ that can be used to supply pre-extracted NetCDF variables to the
+ computational routines. It is primarily used for internal
+ purposes, but can also be used to improve performance by
+ eliminating the need to repeatedly extract the same variables
+ used in multiple diagnostics calculations, particularly when using
+ large sequences of files.
+ Default is None.
+
+ Returns:
+
+ :class:`cartopy.crs.Projection`: A Projection subclass for the
+ map projection.
+
+ See Also:
+
+ :class:`cartopy.crs.Projection`
+
+ """
+ return _get_proj_obj("cartopy", var, wrfin, varname, timeidx, method,
+ squeeze, cache)
+
+
+def get_basemap(var=None, wrfin=None, varname=None, timeidx=0, method="cat",
+ squeeze=True, cache=None, **kwargs):
+ """Return a :class:`matplotlib.mpl_toolkits.basemap.Basemap` object
+ for the map projection.
+
+ Args:
+
+ var (:class:`xarray.DataArray`, optional): A :class:`xarray.DataArray`
+ variable that includes latitude,longitude coordinate information.
+ If not used, then *wrfin* must be provided.
+
+ geobounds (:class:`wrf.GeoBounds`, optional): The geobounds to
+ get the extents. If set to None and using the *var* parameter,
+ the geobounds will be taken from the variable. If using a
+ file, then the geobounds will be taken from the native grid.
+
+ wrfin (:class:`netCDF4.Dataset`, :class:`Nio.NioFile`, or an \
+ iterable, optional): Input WRF ARW NetCDF
+ data as a :class:`netCDF4.Dataset`, :class:`Nio.NioFile`
+ or an iterable sequence of the aforementioned types. If not used,
+ then *var* must be provided.
+
+ varname (:obj:`str`, optional): If using *wrfin*, then this will be the
+ variable name to use to determine the geobounds. The variable
+ can be a coordinate variable, or a regular variable that contains
+ coordinate attributes. If None,
+ then the 'XLAT', 'XLAT_M', 'XLONG', 'XLONG_M' variables
+ will be used.
+
+ timeidx (:obj:`int` or :data:`wrf.ALL_TIMES`, optional): The
+ desired time index. This value can be a positive integer,
+ negative integer, or
+ :data:`wrf.ALL_TIMES` (an alias for None) to return
+ all times in the file or sequence. Default is 0.
+
+ method (:obj:`str`, optional): The aggregation method to use for
+ sequences. Must be either 'cat' or 'join'.
+ 'cat' combines the data along the Time dimension.
+ 'join' creates a new dimension for the file index.
+ The default is 'cat'.
+
+ squeeze (:obj:`bool`, optional): Set to False to prevent dimensions
+ with a size of 1 from being automatically removed from the shape
+ of the output. Default is True.
+
+ cache (:obj:`dict`, optional): A dictionary of (varname, ndarray)
+ that can be used to supply pre-extracted NetCDF variables to the
+ computational routines. It is primarily used for internal
+ purposes, but can also be used to improve performance by
+ eliminating the need to repeatedly extract the same variables
+ used in multiple diagnostics calculations, particularly when using
+ large sequences of files.
+ Default is None.
+
+ **kwargs: Keyword arguments for creating a
+ :class:`matplotlib.mpl_toolkits.basemap.Basemap`. By default,
+ the domain bounds will be set to the native projection, the
+ resolution will be set to 'l', and the other projection
+ parameters will be set by the information in the file.
+
+ Returns:
+
+ :class:`cartopy.crs.Projection`: A Projection subclass for the
+ map projection.
+
+ Returns:
+
+ :class:`matplotlib.mpl_toolkits.basemap.Basemap`: A Basemap
+ object for the projection.
+
+ See Also:
+
+ :class:`matplotlib.mpl_toolkits.basemap.Basemap`
+
+ """
+ return _get_proj_obj("basemap", var, wrfin, varname, timeidx, method,
+ squeeze, cache, **kwargs)
+
+
+def get_pyngl(var=None, wrfin=None, varname=None, timeidx=0, method="cat",
+ squeeze=True, cache=None, **kwargs):
+ """Return a :class:`Ngl.Resources` object for the map projection.
+
+ Args:
+
+ var (:class:`xarray.DataArray`, optional): A :class:`xarray.DataArray`
+ variable that includes latitude,longitude coordinate information.
+ If not used, then *wrfin* must be provided.
+
+ geobounds (:class:`wrf.GeoBounds`, optional): The geobounds to
+ get the extents. If set to None and using the *var* parameter,
+ the geobounds will be taken from the variable. If using a
+ file, then the geobounds will be taken from the native grid.
+
+ wrfin (:class:`netCDF4.Dataset`, :class:`Nio.NioFile`, or an \
+ iterable, optional): Input WRF ARW NetCDF
+ data as a :class:`netCDF4.Dataset`, :class:`Nio.NioFile`
+ or an iterable sequence of the aforementioned types. If not used,
+ then *var* must be provided.
+
+ varname (:obj:`str`, optional): If using *wrfin*, then this will be the
+ variable name to use to determine the geobounds. The variable
+ can be a coordinate variable, or a regular variable that contains
+ coordinate attributes. If None,
+ then the 'XLAT', 'XLAT_M', 'XLONG', 'XLONG_M' variables
+ will be used.
+
+ timeidx (:obj:`int` or :data:`wrf.ALL_TIMES`, optional): The
+ desired time index. This value can be a positive integer,
+ negative integer, or
+ :data:`wrf.ALL_TIMES` (an alias for None) to return
+ all times in the file or sequence. Default is 0.
+
+ method (:obj:`str`, optional): The aggregation method to use for
+ sequences. Must be either 'cat' or 'join'.
+ 'cat' combines the data along the Time dimension.
+ 'join' creates a new dimension for the file index.
+ The default is 'cat'.
+
+ squeeze (:obj:`bool`, optional): Set to False to prevent dimensions
+ with a size of 1 from being automatically removed from the shape
+ of the output. Default is True.
+
+ cache (:obj:`dict`, optional): A dictionary of (varname, ndarray)
+ that can be used to supply pre-extracted NetCDF variables to the
+ computational routines. It is primarily used for internal
+ purposes, but can also be used to improve performance by
+ eliminating the need to repeatedly extract the same variables
+ used in multiple diagnostics calculations, particularly when using
+ large sequences of files.
+ Default is None.
+
+ **kwargs: Additional PyNGL resources to set while creating the
+ :class:`Ngl.Resources` object.
+
+ Returns:
+
+ :class:`Ngl.Resources`: A dict-like object that contains the
+ PyNGL resources for the map projection.
+
+ See Also:
+
+ `PyNGL `_
+ """
+ return _get_proj_obj("pyngl", var, wrfin, varname, timeidx, method,
+ squeeze, cache)
+
+
+def cartopy_xlim(var=None, geobounds=None, wrfin=None, varname=None, timeidx=0,
+ method="cat", squeeze=True, cache=None):
+ """Return the x-axis limits in the projected coordinates.
+
+ For some map projections, like :class`wrf.RotatedLatLon`, the
+ :meth:`cartopy.GeoAxes.set_extent` method does not work correctly. This
+ method is equivalent to:
+
+ .. code-block:: python
+
+ pc = crs.PlateCarree()
+ xs, ys, _ = self._cartopy().transform_points(pc,
+ np.array([geobounds.bottom_left.lon,
+ geobounds.top_right.lon]),
+ np.array([geobounds.bottom_left.lat,
+ geobounds.top_right.lat])).T
+
+
+ _xlimits = xs.tolist()
+ _ylimits = ys.tolist()
+
+ return (_xlimits, _ylimits)[0]
+
+ Args:
+
+ var (:class:`xarray.DataArray`, optional): A :class:`xarray.DataArray`
+ variable that includes latitude,longitude coordinate information.
+ If not used, then *wrfin* must be provided.
+
+ geobounds (:class:`wrf.GeoBounds`, optional): The geobounds to
+ get the extents. If set to None and using the *var* parameter,
+ the geobounds will be taken from the variable. If using a
+ file, then the geobounds will be taken from the native grid.
+
+ wrfin (:class:`netCDF4.Dataset`, :class:`Nio.NioFile`, or an \
+ iterable, optional): Input WRF ARW NetCDF
+ data as a :class:`netCDF4.Dataset`, :class:`Nio.NioFile`
+ or an iterable sequence of the aforementioned types. If not used,
+ then *var* must be provided.
+
+ varname (:obj:`str`, optional): If using *wrfin*, then this will be the
+ variable name to use to determine the geobounds. The variable
+ can be a coordinate variable, or a regular variable that contains
+ coordinate attributes. If None,
+ then the 'XLAT', 'XLAT_M', 'XLONG', 'XLONG_M' variables
+ will be used.
+
+ timeidx (:obj:`int` or :data:`wrf.ALL_TIMES`, optional): The
+ desired time index. This value can be a positive integer,
+ negative integer, or
+ :data:`wrf.ALL_TIMES` (an alias for None) to return
+ all times in the file or sequence. Default is 0.
+
+ method (:obj:`str`, optional): The aggregation method to use for
+ sequences. Must be either 'cat' or 'join'.
+ 'cat' combines the data along the Time dimension.
+ 'join' creates a new dimension for the file index.
+ The default is 'cat'.
+
+ squeeze (:obj:`bool`, optional): Set to False to prevent dimensions
+ with a size of 1 from being automatically removed from the shape
+ of the output. Default is True.
+
+ cache (:obj:`dict`, optional): A dictionary of (varname, ndarray)
+ that can be used to supply pre-extracted NetCDF variables to the
+ computational routines. It is primarily used for internal
+ purposes, but can also be used to improve performance by
+ eliminating the need to repeatedly extract the same variables
+ used in multiple diagnostics calculations, particularly when using
+ large sequences of files.
+ Default is None.
+
+ Returns:
+
+ :obj:`list`: A list of [start_x, end_x] in the projected coordinate
+ system.
+
+ """
+ wrf_proj, native_geobnds = _get_wrf_proj_geobnds(var, wrfin, varname,
+ timeidx, method, squeeze, cache)
+ if geobounds is not None:
+ return wrf_proj.cartopy_xlim(geobounds)
+
+ return wrf_proj.cartopy_xlim(native_geobnds)
+
+
+def cartopy_ylim(var=None, geobounds=None, wrfin=None, varname=None, timeidx=0,
+ method="cat", squeeze=True, cache=None):
+ """Return the y-axis limits in the projected coordinates.
+
+ For some map projections, like :class`wrf.RotatedLatLon`, the
+ :meth:`cartopy.GeoAxes.set_extent` method does not work correctly. This
+ method is equivalent to:
+
+ .. code-block:: python
+
+ pc = crs.PlateCarree()
+ xs, ys, _ = self._cartopy().transform_points(pc,
+ np.array([geobounds.bottom_left.lon,
+ geobounds.top_right.lon]),
+ np.array([geobounds.bottom_left.lat,
+ geobounds.top_right.lat])).T
+
+
+ _xlimits = xs.tolist()
+ _ylimits = ys.tolist()
+
+ return (_xlimits, _ylimits)[1]
+
+ Args:
+
+ var (:class:`xarray.DataArray`, optional): A :class:`xarray.DataArray`
+ variable that includes latitude,longitude coordinate information.
+ If not used, then *wrfin* must be provided.
+
+ geobounds (:class:`wrf.GeoBounds`, optional): The geobounds to
+ get the extents. If set to None and using the *var* parameter,
+ the geobounds will be taken from the variable. If using a
+ file, then the geobounds will be taken from the native grid.
+
+ wrfin (:class:`netCDF4.Dataset`, :class:`Nio.NioFile`, or an \
+ iterable, optional): Input WRF ARW NetCDF
+ data as a :class:`netCDF4.Dataset`, :class:`Nio.NioFile`
+ or an iterable sequence of the aforementioned types. If not used,
+ then *var* must be provided.
+
+ varname (:obj:`str`, optional): If using *wrfin*, then this will be the
+ variable name to use to determine the geobounds. The variable
+ can be a coordinate variable, or a regular variable that contains
+ coordinate attributes. If None,
+ then the 'XLAT', 'XLAT_M', 'XLONG', 'XLONG_M' variables
+ will be used.
+
+ timeidx (:obj:`int` or :data:`wrf.ALL_TIMES`, optional): The
+ desired time index. This value can be a positive integer,
+ negative integer, or
+ :data:`wrf.ALL_TIMES` (an alias for None) to return
+ all times in the file or sequence. Default is 0.
+
+ method (:obj:`str`, optional): The aggregation method to use for
+ sequences. Must be either 'cat' or 'join'.
+ 'cat' combines the data along the Time dimension.
+ 'join' creates a new dimension for the file index.
+ The default is 'cat'.
+
+ squeeze (:obj:`bool`, optional): Set to False to prevent dimensions
+ with a size of 1 from being automatically removed from the shape
+ of the output. Default is True.
+
+ cache (:obj:`dict`, optional): A dictionary of (varname, ndarray)
+ that can be used to supply pre-extracted NetCDF variables to the
+ computational routines. It is primarily used for internal
+ purposes, but can also be used to improve performance by
+ eliminating the need to repeatedly extract the same variables
+ used in multiple diagnostics calculations, particularly when using
+ large sequences of files.
+ Default is None.
+
+ Returns:
+
+ :obj:`list`: A list of [start_y, end_y] in the projected coordinate
+ system.
+
+ """
+ wrf_proj, native_geobnds = _get_wrf_proj_geobnds(var, wrfin, varname,
+ timeidx, method, squeeze, cache)
+ if geobounds is not None:
+ return wrf_proj.cartopy_ylim(geobounds)
+
+ return wrf_proj.cartopy_ylim(native_geobnds)
+
+
+
+
+
+
diff --git a/test/ipynb/Doc_Examples.ipynb b/test/ipynb/Doc_Examples.ipynb
index 1db43ca..d3f27a5 100644
--- a/test/ipynb/Doc_Examples.ipynb
+++ b/test/ipynb/Doc_Examples.ipynb
@@ -1,8 +1,15 @@
{
"cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Cartopy Examples"
+ ]
+ },
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 1,
"metadata": {
"collapsed": true
},
@@ -13,11 +20,22 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 2,
"metadata": {
"collapsed": false
},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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SXNalJ/Dg8d7KZzBl9jpV56tZK8kSVXMteU/kvpBYt0AtzwAAe3/8AjVr10GjZq0Vz9Na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\nJwiCIAiCkM+IBE4QBEEQBCGf+T9FmumC8EE7lgAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"from __future__ import (absolute_import, division, print_function, unicode_literals)\n",
"\n",
@@ -28,7 +46,7 @@
"import cartopy.feature as cfeature\n",
"from netCDF4 import Dataset as nc\n",
"\n",
- "from wrf import npvalues, getvar, smooth2d\n",
+ "from wrf import to_np, getvar, smooth2d, get_cartopy, latlon_coords\n",
"\n",
"# Open the output NetCDF with netcdf-python\n",
"filename = \"/Users/ladwig/Documents/wrf_files/wrfout_d01_2016-10-07_00_00_00\"\n",
@@ -42,15 +60,13 @@
"smooth_slp = smooth2d(slp, 3)\n",
"\n",
"# Extract the latitude and longitude coordinate arrays as regular numpy array instead of xarray.DataArray\n",
- "lons = npvalues(slp.coords[\"XLONG\"])\n",
- "lats = npvalues(slp.coords[\"XLAT\"])\n",
+ "lats, lons = latlon_coords(slp)\n",
"\n",
"# Get the cartopy projection class\n",
- "wrf_proj = slp.attrs[\"projection\"]\n",
- "cart_proj = wrf_proj.cartopy()\n",
+ "cart_proj = get_cartopy(slp)\n",
"\n",
"# Create the figure\n",
- "fig = plt.figure(figsize=(4,4))\n",
+ "fig = plt.figure(figsize=(8,8))\n",
"ax = plt.axes([0.1,0.1,0.8,0.8], projection=cart_proj)\n",
"\n",
"# Download and create the states, land, and oceans using cartopy features\n",
@@ -62,23 +78,24 @@
" facecolor=cfeature.COLORS['water'])\n",
"\n",
"# Make the pressure contours.\n",
- "contour_levels = [960, 965, 970, 975, 980, 990]\n",
- "c1 = plt.contour(lons, lats, npvalues(smooth_slp), levels=contour_levels, colors=\"white\", \n",
- " transform=crs.PlateCarree(), zorder=3, linewidths=1.0)\n",
+ "#contour_levels = [960, 965, 970, 975, 980, 990]\n",
+ "#c1 = plt.contour(lons, lats, to_np(smooth_slp), levels=contour_levels, colors=\"white\", \n",
+ "# transform=crs.PlateCarree(), zorder=3, linewidths=1.0)\n",
"\n",
"# Add pressure contour labels\n",
"#plt.clabel(c1, contour_levels, inline=True, fmt='%.0f', fontsize=7)\n",
"\n",
"# Create the filled cloud top temperature contours\n",
- "contour_levels = [-80, -70, -60, -50, -40, -30, -20, -10, 0, 10]\n",
- "plt.contourf(lons, lats, npvalues(ctt), contour_levels, cmap=get_cmap(\"Greys\"),\n",
+ "#contour_levels = [-80, -70, -60, -50, -40, -30, -20, -10, 0]\n",
+ "contour_levels = np.arange(-80.0, 10.0, 10.0)\n",
+ "plt.contourf(to_np(lons), to_np(lats), to_np(ctt), contour_levels, cmap=get_cmap(\"Greys\"),\n",
" transform=crs.PlateCarree(), zorder=2)\n",
"\n",
- "plt.plot([-80,-77.8], [26.75,26.75], color=\"yellow\", marker=\"o\", transform=crs.PlateCarree(), zorder=3)\n",
+ "plt.plot([-80,-77.8], [26.76,26.76], color=\"yellow\", marker=\"o\", transform=crs.PlateCarree(), zorder=3)\n",
"\n",
"# Create the label bar for cloud top temperature\n",
"#cb2 = plt.colorbar(ax=ax, fraction=0.046, pad=0.04)\n",
- "cb2 = plt.colorbar(ax=ax)\n",
+ "cb2 = plt.colorbar(ax=ax, shrink=.8)\n",
"\n",
"# Draw the oceans, land, and states\n",
"ax.add_feature(ocean)\n",
@@ -91,18 +108,29 @@
"\n",
"# Add the title and show the image\n",
"#plt.title(\"Hurricane Matthew Cloud Top Temperature (degC) \")\n",
- "plt.savefig(\"/Users/ladwig/Documents/workspace/wrf_python/doc/source/_static/images/matthew.png\",\n",
- " transparent=True, bbox_inches=\"tight\")\n",
+ "#plt.savefig(\"/Users/ladwig/Documents/workspace/wrf_python/doc/source/_static/images/matthew.png\",\n",
+ "# transparent=True, bbox_inches=\"tight\")\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 3,
"metadata": {
"collapsed": false
},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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fw6W93r/ElHbtxukYah3Zr5A6ZgHgM2b2MYndOZWQtLSkRyRNkbRhTDtQ0hhJ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\ngg==\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"%matplotlib inline\n",
"\n",
@@ -115,7 +143,7 @@
"from cartopy.feature import NaturalEarthFeature\n",
"from Nio import open_file\n",
"\n",
- "from wrf import npvalues, getvar, smooth2d, ll_to_xy, CoordPair, vertcross, getproj, get_proj_params, to_xy_coords\n",
+ "from wrf import to_np, getvar, smooth2d, ll_to_xy, CoordPair, vertcross, getproj, get_proj_params, to_xy_coords, latlon_coords\n",
"\n",
"# Open the output NetCDF file with PyNIO\n",
"filename = \"/Users/ladwig/Documents/wrf_files/wrfout_d01_2016-10-07_00_00_00\"\n",
@@ -145,17 +173,17 @@
"levels = [5 + 5*n for n in range(15)]\n",
"\n",
"# Make the contour plot\n",
- "a = axes[0].contourf(npvalues(wspd_cross))\n",
+ "a = axes[0].contourf(to_np(wspd_cross))\n",
"# Add the color bar\n",
"fig.colorbar(a, ax=axes[0])\n",
"\n",
- "b = axes[1].contourf(npvalues(dbz_cross), levels=levels)\n",
+ "b = axes[1].contourf(to_np(dbz_cross), levels=levels)\n",
"fig.colorbar(b, ax=axes[1])\n",
"\n",
"# Set the x-ticks to use latitude and longitude labels.\n",
- "coord_pairs = npvalues(dbz_cross.coords[\"xy_loc\"])\n",
+ "coord_pairs = to_np(dbz_cross.coords[\"xy_loc\"])\n",
"x_ticks = np.arange(coord_pairs.shape[0])\n",
- "x_labels = [pair.latlon_str() for pair in npvalues(coord_pairs)]\n",
+ "x_labels = [pair.latlon_str() for pair in to_np(coord_pairs)]\n",
"axes[0].set_xticks(x_ticks[::20])\n",
"axes[0].set_xticklabels([], rotation=45)\n",
"axes[1].set_xticks(x_ticks[::20])\n",
@@ -163,7 +191,7 @@
"\n",
"\n",
"# Set the y-ticks to be height.\n",
- "vert_vals = npvalues(dbz_cross.coords[\"vertical\"])\n",
+ "vert_vals = to_np(dbz_cross.coords[\"vertical\"])\n",
"v_ticks = np.arange(vert_vals.shape[0])\n",
"axes[0].set_yticks(v_ticks[::20])\n",
"axes[0].set_yticklabels(vert_vals[::20], fontsize=6) \n",
@@ -186,11 +214,22 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 4,
"metadata": {
"collapsed": false
},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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Bx/wTWaITVyrnGPWPfTeNGhMphmE0LWK5AaI9lVuOD8PICiZSDMNomtQ1d4etXGncvPSf\n5L/LumzumMjvsQn+tkykGIZhpJOmEg+TyiTeUPC+w3jBt8kK3XQL48Z6/32YSDEMw8gkjTG2pall\nkI0UZLly/TkiFEXkIOBMHE2xJ7AWWAb8qKqX16VtEymGYRj1RUN/Es6VyTnTRK4aykWB4hE4nv/V\n6xBU9XXgdRE5DngLOBIQ4Ju6tm0ixTAMI1s0pLiWXJucM00ufgf1xMy5MPO58LK1PyZ06hnAuap6\nD4CI/EVEBqrqR6mOxUSKYRhGrtEQLC65OKamgnfvMyAcX9n9AIpOa895fwgvr1i0jleHvBn1PBHp\nDaxR1fW+4m+BtnUZj4kUwzDSjogMAK4HLgOmAAuBx4ASYDBwnKqOEpGrAAVeALoBA4GWqnqN204R\ncDRwFDBeVb+M2unQQfBOlDwpsajriov6IBfiWkyUZJeg+x9Zlt3f67nAfQAicj+wAchX1Rvr0qiJ\nFMMw0o6qfiwiT+IIkJU4T1PbVPUVEfkYKBCRjsA6Vb1VRK4BWgETgLtFpIOqrlXVCuBWEdk1pkBJ\nlXgTbwafWFPChEL2iZflNlN9JlPvpfqNSQFQ1XLf+3PS1a6JFMMwMoUAoqqXuILkl8BNOKsAHnGP\nq1tXgXuBi4GuwLZQIyL7AIvi9vb5pcCOiMIj3VcAyUz46RIrJjIaB/UpVOL9Zr6Z6bz8dFjrrK9p\nBJhIMQwjIUSkmapuT7DuLsARQD8R2Qh0Bh51D/dR1Uq3XnsRmQTMAVrgCJfnVXWDiPxcVR8ETgQm\nx+20383Qbt/MBqMmk6U23X0bDZtU3IqJ/G66n+68/Py4CN4ZkvjYchgTKYZhREVEjgROBzoBW0Uk\nD/gEuFlVV0c7T1W/As6Kcuy3vvfXRxz+yHfsQffvVSlfAGReIMSKCzBx0nhJxpqSiFuxrpaZ8oi/\njQQTKYZhxKIdcJ7fgiIihUAR8E7WRpXLmDAx/CQTT5KKwC0P+PwZjeZfp4kUwzCioqqPi0gXN6Nk\nS7fsMaAyuyMzjAxRnmBZIiQrWE3g1iIv2wMwDCPnuQ8oALa7L8NofJQTXYxEKzdRkXFMpBiGEY93\nVXWmqj6uqo9nezAxCfLr58ryYSN3Ka9DnWhCxQRMWjB3j2EY8WgtIs8DqwBV1TOyPaCkScdGbBYQ\na5QTLFb8S9Tr87cRNJZGhokUwzDika+qP8n2IOLyzofAHtGPp1NkmGBpXJRH/E0V+y2kHRMphmHE\no1hE/gCsA1DVu7I8nrqT7BNvLJdRQ9ok0IhNOfGFSiJ16oPybA+gfrCYFMMw4nEz8G/gY/fVOMh0\nrMpL/7F4mFylnOSDZHOJ8mwPoP4wS4phGFERkdOA/1NVf5r6IqCbqkbfErWhUB8xBJ5QMctKblAe\n5X2ybaR6brS+E22vrv02MHJGpIjIzsBtwF7AamApcBFQBgxU1d+noY/vVLWb73Mf4CmcfUP6AGtw\ndjxYoqqnpthHK5ynTgV6AtXADzgbqR1StyvIDCJyOPCDqr6XofZ3A65T1TMDjq0AdlbVyE1XEmm3\nELgd2BPnu/sc5zczAhigqjfUaeAGwApgmoh0wdkYZxvO7/vvWR1VOqmvYMf6Dqo0alOegbbitZlo\nn+Vx6ibaTiMjZ0QKjli4U1VPAhCREThbt0PNJmR1JawdVV0G7OP2NwPniXFOnTpQ3exr81rgK1XN\n+n/oIpIXQwiUAkuAhEVKnPYi+T1wd5RjKX23bnr2p4EbVHWmW3Yo0EVVnxaRq0XkpkT3mjGCUdVX\ngFeyPY6MU59CxaO+BUu6rrGhxuCU10O70d4n01bQeam01UjICZHiPsmvV9X7vTJVXege289Xry8w\nA2cfkS+Bc1R1jYi8BFyoqp+IyADgDlU9TES6ArNxxM6z8YYRMabWwD3AIGADcL6qfiQi1wG9gAFA\nR2Ciqj6RSJtuu1cCx+JspjZdVe8QkZ8Av8F5Ut0DuBPHAvMLYCNQpqrrROTfwEIcUbEVOENVl4hI\nWxwRsLvb5+9U9TURmQrshGNpWCgi/wT+BDTHsRidBbR2+9ksIhcCZwBXA/eo6gL3Cfp1Ve0vIuOA\nUUAP4GsR+TnwF2B/93omR+bREBEBSlX1V+7nNjgbzRW51xLv3jQDpgPDgP8BfYGTgf5AlSdQAFT1\nZV9zb+BscPdc8FdjNGpS2Qgw1iSerl2QI9urT/xp15PtP5HrthVP6RET6WijEZETIgVnEo2/Fbvj\nDrrDTdV9Oc7X+ZuAet7T+dXA06p6i4iMT3JMFwPfq+reIjIceADwtpXsj+NS6Aa8KSLPqerGeA2K\nyDFAe1Ud5k6+L4nIXPfwXm67AF8Ak1R1XxH5K84Gb9PcY9tVdbCIHIvj6jgKuAaYqapzRKQ7sABH\nRAHsCgxXVRWRdqp6oDuWU4AJqnqxiNwHfK6qM9xjkUP3WzsGAkNVdZOI/BpYrKqXuOLjTRF5XlXX\n++rvgSMoPX4DfKqqx4nICcB5ce7NcKClqg4Qkb2Ad9124v1m/uueayKlqTB0kLMLcjTSsRFgqrsg\nJ9NHJvGESn0EDQf1nS3Ks9e1UTdyRaQIiZn991PVY9z3DwHPxKl/EDVbvD8CXJvEmA7CmfxR1TdE\npINrXQF4wnUjrBSR93Am7rcSaPNI4KciUopzze2AfjjX/rqqrgMQkZU4W9cDfIhjIfGY6Y7pXyIy\nzdfuKBHxrrWtiLR33z+pqt697Soij+LE3zQDqhK5ERHMVdVNvn53E5Ffev26bftXgPQAvvN9PgiY\n4F7DkyLiibto92Y4jjUMVf1ARP7n1o/3m/nOPdeoIyIyUVWnuO+vUdWrsz2mtJCuSTMXxEdDwAKI\nGy2uxfw6oD3wNk7s2mE4VvFf+eaMpMkVkfIJcEIC9fwxEP5Jahs1y6lbRpyTrniWaG0mKrDAGeNE\nVf2Hv9B192yJaN/7vANHUAT17W/3SFX1iwHPIuK38EwFZqnqIyIyBGdpaRCx7qe/vTwcl9vbUdoB\n2Ay0iiiLvH9eW0H35viIc71xfQJcGKPfVkDK/zAMBxH5B7CniAx2i6qzOR6jEWBZWRsjxwE74ywS\n+RoYp6qjRaQMOAl4ONWGcyJPiqrOB9q5MQ6AEzjrxpf4eUdETnTfnwG85r4PBcACJ/rqvwac5r6v\ntbIkDq+7fSAiBwKrfWrwBBHJF5EeODErieaOmAecLyIt3XZ3c90kyTDaPfdoatwd84BLvAquWySI\ndtRYT37hK/8RRwF7+O/nSTHGMg+4yFXR0fr9H1Ds+/w67nfiChDPOhXt3rwBnOqWDaLGqjQH2FlE\nRnsNi8ghItLP/VgMfBpj7EYCqOopOPFYp7qvZP8dGblGLlgy6it/THn9dJMtjjr4idArnbw6cwXX\nH/vfsNe9ly6OdUoJ8IaqXgb8ipoH0Uoc8ZIyuWJJATgeuF1E/ojzBPwRTlyIn0uA+9w6y4Axbvlf\ngdkicjFOPIbHtW75uTgrQWIRaaG4DZguIu/jWA/O8R37H85k2xH4bYx4lMjVRP8UkT2At92J/Qec\n6443Fj/NXRdTNU6sCsBVOPfufRyry7+BXwacewNwr4iswxEFHk8Bs1yReAbwN+ApN0dGrNVOd+AE\n4r7vXs9XODEy/mteLSI/ikhXVf0euAV4VEQ+xLmH37j1ot2bR3FcWR/jWE8W4yzn3uHGsdzuBjNv\nxVmd9Gu364OJbWkxEqefiFyE+7tskHv3GOH4g2izRaYtKuWZazrbBIkSr2zuqyfWOpYM/8dJdDh9\nN7qeHl6+dtEXMCRqJpDlOP8HQ/hO6YU480LKSE24gpEI7oS4PBvLit3VPWeq6hf13XddcMVPR1W9\nLcXzC1R1o4gUA8+qakmc+j1wVicdE6uekRgicq+qnpvtcURDRPYF3mXou7EDZ43aZFuoZEKklKe/\nyVwhUYvJ3Om7wi+HAAxR1UQWpYT+HQ1/9yY67LtbreNrF33BG45IqdWmG695O85K2P/h5Do7GMft\nfmFjiElpSGRT1TVURfkwybvb/LzkuoEUSGSV1i7AFXXoz3BxXa7rXZfnWgBV/SS7ozLSRl1EQjoE\njiW4S4h0u3PSjStCzosonpWOtk2kJImq/jGLfTfI1Spu0reH6nB+Uv+Lqeo7qfZl1OJkYBXO6itw\nhGIyq+SMxopfXGTbIuNRnu0BpJdUxcnwfRfwRprHki1MpBiGERVVvUZEfoYjTgT4UUTy/Xv5GEba\nk90ZOW89qS9yYnWPYRg5zbk4iQb3AH4H3JXd4Rg5S7Kum3S7esrT21y2MIFSg1lSDKMBIc7WEJNw\nsvOeKiKnk6akSTFYrKp/cfvvSni+otzhnQ/hMAuczXksBsVIgoRFijg7znbN4FgMo6HxvapWJnNC\ngv+OorarqkuB80TkMbfoBFes1DlpUgxURKbjuHy+w8komZs01M3vGhOxljfXx/dQToO2qJgVJZyE\nRIqIFBYUtF62caMl8DQMHxtFpH+iQsUVKMsSqLpFRHZPsF1/0qRBiYwjWVR1orvNgqrqj5nowzDS\nSjkNWqgYNSRqSem6ceMmpk37MyUlxfFr5zBHH31W6H3v3r0BWL58OQC/npL4iqnbJ55WqyzR82+f\neBoHHXQQv/jFL+JXBs4910lRcdJJJ7HffvuxfPly7rzzzph93j7xNE46qXay2B49egCwcuXKsPK3\n3nqL5cuX8+sps7h94mn07t2bY489ttb53j2Lx3vvvcfGjRsZPrz2gqRu3boBMH36dNq1a8eoUaMA\nErquXGHl8iXcd9NvCnCsIolaU7oCFBQUkJcXHA62Y8cONm7c2DKBdr3tBDyRUuekSYGdiPwJZ5NK\n96Ooqp6a7n4yillRcgP7HowUSCompaSkmL33jsxU33Do23c/8vNrLnnFihUA5OfnM/XR9xNuZ8IZ\ne4e141FYnNiDbH5+PjfddFPgsaqqmj3/evXqFaoPMGzYMIqLi7nyyivjjllV6d69e9COxhQWFlJY\nWMjChQuZM6cmoWx+fj53//Es8vPzKSgooLCwEIDi4vjC1BurN/7Bgwfz7bff0q9fP9asWcO0adM4\n9dRT6du3b6jeZZddFtZGv379KCwsZNKkSQnfy4ZIXl5e4O8HYNu22ItmRKQzzqaZg0XkCpzMwHfh\nJk1K81BR1ctFJA/YWVWXe9sWGIaRW4xnWuh9BetsCXIs1q79kT//+U6uu+4PmWg+Lps3b+HTTz9j\nn31qJrq+ffcLq1NUVERFRQW/v3Uunbv1SrjtCWfsDcC4ceMA5+l/zpw5tQTDWy89ybDDTgidk4wI\nWrJkCeBM/FVVVUyePDl0bPRoZ6uaeO1VV1fzt7/9rdYT+7hx46isrKSwsJDFi4P3YigrK2PEiBEJ\niZNI8vLy+OKLLxg+fDgdOnQAHMvBqaeeyq677homwoLw+kz2nkVj+/ZtiORFtVw0NFR1Fc7eGH4y\nbXa6BWiDs8rnNmBchvtLH/b03jQpz/YA6he/QGlsZESktG/flkGD+mei6YTIyxP+/Oe7eOSRu8PK\ni4qKQu8rKioAWLf6u4RFiidQJk+eTGVlbAv/4vffCIkU79ypj74faqOqqiokQjw8a4SH/9ikSZNC\n7xOZvG958rNaVpQJZ+zNtGnTQgKrpKSEiooKioqKGDt2bKheouJk+/btVFdX06pVzSbHFRUVbN68\nOaxeixYtQhaURBg3bhzTpk1Li1CZ8+it7HXAkfTp13gtM/XAdmpiadZmcyBJYQLFaGCkEjTbmAUK\nZEikiAinnnpcJppOiBYtWjB9+s21yj1h4omVNWvWsH1bYjvP+wWKn2gxGmf/prY7J7KNqqqqkNUk\nGp7lJFmC3DyeSPLcOCNGjGDMmDG16kUS6coBx500depUjj32WPbaq2bz4xEjRkRtJ54VxWPUqFHM\nnz8/9H3VhQNKT6FZFNeKkTBbgP7uJoOdsj2YhMgFgVJeT+cYTZbGLlCgEedJad26VdRj/slv+/b4\niTMjXTx+pk1L/EcyefJkiouLQ5P+q6++GnZ8yZIlIStGZWVlyHqSDrdHEPEsJt443377bR588EFu\nueUWvvnmG8ARQVdeeWXM8zdu3Mizzz7LKaeckp4Bp0C3noVZ67sRMQk4AidYN6FEbu6eP9fjJH87\nEyfAd55DtK+qAAAgAElEQVSqviUiJ+FsPvZ7HNdVP5xlzR/i5HzpqqoT3HbauO18qKoz0nlRGaE8\nDefXtQ2jQZKsFaUpCBRoxCIF4KijTmPp0kp23rlH1DrrVn0Xsw2/QPEsEB6eQElEREQKlCA8F1Ky\nrp1oeDtce1YV71piMWfOHLp3784xx9RsILzPPvswdOhQRCTQqhKN1q1bs3jx4oQtKAAPPPBAKJg3\nU+LMSBwRuZqaFUQC7EcCe/eo6sci8iTQGVinqreKyDUishFnp9S1qroVuFVErgX+T1U3iMjBQIGv\nnQ0icjNQmvCgs2FFKU9zW+lsr76JliOlCWwmGCQ05r56YkrnxaKpCBTIoEipqlrJjz+uz9qS5bPP\nvoCCggIWLZrPK6/8mwsuqAni9YJmO3bsSNeefaK2EWRB8YREIgJl65bNtGjpWHQiBUrkxD1jxoww\nC086JujnZt9B/30PZtfda8SJdy2bNm1i1qxZHHPMMbRp0yZ0/NBDD60lpIJWosQSWx4iEhbrkggm\nUHIOLyj3auCaJM8V9+XfvfswnO04honITjhburdQ1Q0AqnqLiPw6Sjux6TAD8jvAB76y7qc7r0xQ\nnplmGzRNZO+eZETFUQc/kZBQSZVXZ67g1ZnhKSU2rm08W2tlTKR88813zJv3MldcEfn/Tf3wxhtv\nc+65Z1JQUMBRRx3O0qVOkszIVT7/9/druOzPj9c6P5pA8bt34k2k90wZz4XX3B/1uGcxmTx5MmPH\njk27e2efg8po3rwFmzeuZ+2qb8OObd26lS5duoSsLImIjkRIxmoSyQMPPACkX6CsW/0dnyx6lQMO\nr503xoiNqi4GEJE13vtEEJFdcFxERUC1iEwCnlXVt9zjXVT1WxE5EXjaLTsaZ4+gru7nn6vqg8BY\noJ+IzFPV5VE77XcztMtgWvzyzDUd2Fd99pcOEhEoXp0GbFFJJbg1llCpqxXl4NN7cvDpPcPKKhat\n47dD3kxukDlKxkTK3nsPyGpOlQ4d2lFQUBBW5gkUz2IxbtzZ/OmmO9m4fi0FbTuE6sWKQYH4k6h3\n/nlX3ht6v2TJEiZOnFgreBccseIF09Z1gt6+fRu6Ywf5zVvQYxenj9+etAciQv/+NSuuhgwZAtS/\nOFmwYEHofWFhYSguJtUA4URo074T369IKnu94eKm2wfo471X1TkxTsGt8xVwVozjf3T/PuErewZ4\nxvf5Qffv1SkNPl2UZ7HfbPWdDKlYT/znNCDBku6U9ZYCPz4ZEynZzksxcuSBfPmlMzH17btfyJLi\nsXTp21RVreTGG2/n7Zef4pCjnVUukQIlmcDYSKZf72SKLSsrC7OSTDhjbyoqKkKCZMIZe4fFoaTK\n5o3rmfGniznm7N/Ru2hAqO2WLVuGxdT4A2a9pdB1IZ5A8fKyLFiwoNb9nDx5MgsXLgQy5+Jp1iyf\no8+6NCNtNwG6uX8fc99rjLq5T3kSx2LVbYwkEzOSTrdOUFs5KFzqKigirSmNbbmxiBQAr+K4hv8I\nLAK+VNUb69Jugw+c3bp1K//73xIWL17CF18s45xzTqN7925cfvlFHHFE8KoST7D06tWDfv2KeOWZ\nhzjk6DEhgVJW5jw8+uNOvGPJTKSeMIichCPb8LcfC/8Y/rPgCT774E3O/s2fQsdbFbTlgvIZYXWL\nioooLS0Ns1oEkQ6xEo0ZM2YwYcKE0OdIcebdbyP3UNUHsj2GOlOe5nr1STmZHVekQIgnVOor5qSu\nlpZy0nrf0mXxqEs7uSxQXK4AZrvv1wPNgdT9/y45KVK2bdvG0qWVfPbZFyxduoxly75ixYqVrFz5\nHatWrWb9+o14D3R5eXm0a9eWbt26sHbtj7z33ofMnPl3dt65J9u2bQ+16bl6Ii0q5513JldccS1r\nV30TVh4kUBLFOycZK4x3TmQCM1XlkuP70aJFC5o3bw7UJIbbf1SwjzPSGhRNoESu1EmXUPHnflm4\ncCEff/wxZ599NuPHjw+r513ziBEjmDNnTkpC0DBiUp7tAeQgDS24NctxLE3RJVM18zVWzHw9rKx6\n7cao9UXkcOATnO05UNXD3fJZIvK0qq5JdSwZFSkPPvgYu+9exLBh+/DVVyuoqFjKl18uZ/nyqjDR\nsWbNWjZt2oInPESEtm0L6NSpE927d6Nnz+4MG7YvRUV92X333ejbtzBwxcnWrVspKTkwJEh27NhB\nYeG+NGvWLOoYTz31WP4w4TpenzuzliAJsngEEZQZ1fv88tP38/zM2onlgti2bRtbtmzhD6fvxQ0z\nnSUKIkJBQQFTpkxJKn7Ds+Ls2LGDioqK0LnptJYEuXn8AsVzYXmuv2iirbi4mNmzHQE+evTotKXE\nj2R5xcchN5jRBCjP9gByjLqKk2yLmyyIlaYoUN5YNAp23xcuizjw2SJ4dUi00w7DSR0wAGd3+Dnq\n5MBYjStcUiVpkbJ161a+/nqFKza+ZsWKb1mx4hu+++4HfvhhFatXr2X9+vVUV293N0tT8vObU1DQ\nio4dO9C5cye6d+9Kz549GDZsX3bbrQ+77bYrO+/co85xLC1atGDYsH156633AMcKsWXLllAAbaQV\nBaBjxw7sM3gvFs6bRdkZlwCEbboH8Z/sYx3/4duvmfzwf2td28tPP0CHzjuxz4ijQmV5eXkcd9xx\nzJ8/P2yiFpFQcG282BW/yPKEye677x5TnMRKxx+PBQsWhHaR7t27d+i9h//eRLNIjR49ul5cPvOf\n+Dsnn/9H2nXokvG+jCxSnu0B5CCJCowgAZBtcZIq5TSa30Kuu3pU9UpwVuThbKNxv4hsAlap6sqY\nJ8chKZFy/PHn0LJlcwoKWtO+fTs6duxAly6d2Gmnbuy//77ssktP+vbtQ9++fejYsX1dxpUynkAB\nZ9Jv3bo1ECxQPC699HzOPvtCPnr7pbQ/wR969BjmzLyNI08aR4tWrUPlxQOH0bV7eEr9vLw8WrRo\nUasNz8KT6BJlf5BsMpYTvzjxLCKRexTNnz8fIKWU9UHj9q7NLwwz5e457YLraNm6bUbaNnKAccDu\n2R5Emimv4/mNUZw0gaRwDRVvRR7wSLraTEqkPPXU/VldVhyLyPwnELx/TRA/+9kR7LprH2beOZEB\nQ99I2aLz4VsvoqrstX9NcszmLVoycOihNGvePKoryV+eSDKzeO4QLwYlUYHiFyf+jK/+ZdKJ4g+K\n9fPa3EfpWzKYXXbbM+o5maZ1m+wIZ8NImvI6nJur4qKBkSuunly3omSanAycTZQgYRKrbjRriohw\n663XcdxxP+fjt19i0P6Hx2xr/dpVvPPq0ww95Fjatq/Zb61l6zZ07BKegr99p26079QtsolaQsPL\nggu1J23/xoQLFy6MGmTqlXlunqlTpzJixAj69u3Lpk2baNs22IrgWU2SWQYdJGAqKipqiRPv86+u\nfRjVHQm3bxhNivI0tFEXcWLCJidp6gIF6kGkvPrqvxkxYljM4NV0UFRURElJSZjbwD/xQ2yhMnLk\nAfTosRNzZt4SJlI+++DfbFy/lsHDfxpWv0v3XWjRIjweaPdBBwS2vXbVN3To3D00Jqg9oQcJFP9x\nb++f4uJixowZw+jRowPr+gNQwbHM/PWvf2X8+PEUFBSEVvxEc9t47pdUrCjRzqmoqODuP9bk9bLV\nO6nh5iG4C2dX4ldU9dEsD8moC+VpbMtERjDlpHSfc8WKYtSDSHnmmRfYdddCCgt3zmg/QTESFRUV\ndO/encrKSk444YRaAbF+1q1bz9Chg3nmmXms+vZrOu/kjDevWT7devUNq9u2Q2cGDYttbfFz5TnD\nadOmTcj9NHbs2Lh79fitJ5HLh7308ZGUlZWFZbX1uPTSS2nZsiUQvMImSDRUVFSkJFSC8LcTZG2p\nT9HyyaJX+XH19+x/eOb20sggJwL/UNVnRWQWYCKloVGexraaqjBpIvEoZkVxyLhIueGGKzOafdZv\nLQkSKmPHjmX69On07l0TpPryywtZvryKs8+uSfbWrFkep5xyDHPnvshzj93JGRdNAaB4QOIupUi8\nybh169bMnDkzpjUp2sqXSIGyZMmSkNjyXEbeuZHxLJEupVjLq/34s+JCarEp0Yhsyy9a6kOsFBYN\n5Kuln2a8nwyxCzXb522PVdFwiPZEnMkN30KUZ6jdpipOoF4ESjozwf6N4K1VUmmrqZJxkVLf6fGX\nLn07FKty1VVXMW/ePPr16xe2NLZbt64UFu4Sdl7btm049tifcswxP2HO3Mc5dVw5+c1rr7SJR6TY\nKCoqYuzYsSGB4g9M9deBGuuFlzJ/whl7h+UdASduJJrLyD+GqY++XytTbjIiIJUkdvGorq5m69at\nYbsuR15LpoVK2w6d2WPwiIz2EY/evXtTUFDAqlWrWLVqVTKnLqdGqCQWFd7ESHSC8eplTKyUp7Gt\npixK/OSgBSWeoPCOJyJW0ilODvmscWwuCA04cNa/WWBZWRlvvvkmX3/9dej4uHHjaN68OZWVlVRV\nVYWt9BkwoCRqu5dffhFPPTWHt1/5FweWnpzUmPyp6MeOHRsqLy4uDrloFi92NpKNFAElJSWUlpaG\nrsl/zNv7ZsaMGaHjHkGWCf9YEh2zN6ZM88MPP4SJFA9PnDWlrLOdO3emc+fOYWUbN27k00+jWnqe\nBO4QkZ/h7hxs1DB83wXAbkmdE2t32qxhoqQ29SRQYoncuoiI+rKOHPv+PMDZNKex0OBEyoYNGxk3\n7jK2bdsWyjq7ePFi2rZtS6tWNYGs8+fPD03YnkCJlSvFo3//fuy+ezH/vO8Ghh12PM2aJXaL/DEk\nEO6meeCBB0LiJLK+NzlPmTKFiRMn1mp34cKFYa6qyGBgj8iyyHrbt1Vz2akDadWqVdRlwum2nETS\nvHnzsGuJJMhC1BTESqKo6kZgbNyKRnYpT+EcEybB5KD1JFfxBEpjI2O+mB9+WMU99zzMYYedyKBB\nh/DBBx/HrL9jxw6qq6vDyh566B9cdll5WFlBQWtmzLglLC1+RUUFlZWVYdYSb4JeuvRtXnjhMV54\n4bGEx37XXTewdvV3zPvH3QmfA+ErcPzMmTOHFStW4GQJrpmMvb9lZWX06tWLioqKWmJj8eLFocRs\nJSWOBWjcuHGhDK3eOZGTuec68upd+fOhoWORLqAgV1BRUVGYaEgXQblrvOsK6jsTwklVefPFx9Pe\nrtEwSftKjvIk65tACaaeBUqmrCiZ5tj35zVagQIZECkPPfQP9t//KIqL9+fyy6/h62/WsfKb7znk\nkOPZa+9DueOOe/ngg0/CztmyZQtnnDGe//73o7Dys88+hT//uTysTERo0aJFLavI0qVvh8oij1VV\nreSllxYmfA1DhuzNz352BM8+eivr1nwft37QRLpkyZKweJLVq1ezY8eOkFvHm4THjh3LhAkTmDp1\nasw+/MJn2rRpteJagsZQUVERVs+zNEWzTvjFSqRg8j6nU7B4RFqZPDIlVESEJR+9FRKNhpFVoWLW\ngnAO2z9996Q8sWoNUaA0dnHikVZ3z+zZT3LxxRPpWdiPE8+dRNv2nSgeOIzO3Xrx3hvP8dzsO7jq\nqhvIy8vj2GN/yrXXXkHv3r1o2bIls2b9Pen+Yrlv/MdGjjyAgw8+MKm2b731evbccyQP33I5F5TP\niFvfc/NEBrp6n1u2bBkKnl2+fDmlpaWMGjWKBQsWMHXq1LCJ2h+vUlJSQmVlZa0lyx7jxo0LubaC\nljEn4i6JrBcv223k8uRYq4CC4mdUNeFswP5YlXS6fs665MY6nf/yv4KXgRsNl7THp5RH/I2Ff1Ju\nypaVLAi2hpgTpSmIE4+0iJRXXnmD//znXebNe4WuPXpz1d0voKq8MW82zfKb0yy/OUMOPoYhBx/D\n9ysref6xu3l27uPMm/cyr7zyFMXFfeN3UgcSnRD9dOnSmUmTLuHqq2+i4pN3KNpzaMz6M2bMCAuW\n9Zf78cTI4sWLWb58eeizfzIPSpMfibc/TzTx4m8jkeBYvwiIFQ8StDw52SXK/l2ZEyGbQbXVWzfz\n2QdvsmvJPrRp1yFUfuBPRvPv+f+ot3EY9UNGVv2UR/yNhzdRNzWxkkPuHY9ctKI0JYECSbp7tm3b\nxmmnnc/CheH/eHbbrQ+DBu3JihUrWbf6O0SEvLw8Dvrp6XTuFr5/TNcehZx58VSuu/d18lsUcPAh\nx/HZZ+l3IaSDCy88l549u3Pfny5mx/boaSmmPvp+aNKO3JDPj99dUlJSEmY9SWSiHzduHJMnT2b2\n7NkUFhaycOHCuJlqvfdeHMvloweGyr2Xv27Q56Dka9HcQpF4IsZ/fd27d497rdHaiby+dBPpAtq0\n4UdWLl9Sq17LlnXafdzIcTLydF2eZP10uj1ynUxcZ3n0Qw3VetLUBAokaUnJz89n5sxpYZaJ+++f\nxYQJ17N58xYA9ti7tltl+7ZqPv/orbD8FB0678SkO59j8kVHceihJ/DSS09QUpL407V/355EVu2k\nQrNmzbj33lspKzuNZx65mWN/flnM+n6rxuTJk6msrKSkpCRUtn37dpo1a0ZFRUWtYNFo6enBERij\nRo0KHVuyZEncfXa89PgAEydODGWa3bRpE384fa9a1iW/iCgtLaWwsDCsj3jCIJEMtelIDpdOq8r6\ndatpXdCWZvnNAXhj3myWff4Bp184OVSnfaduHH7CeSn3YTRcMrI8uTzibyI0dldQPQqxhipOmjJJ\nu3u8yW3r1q2MH385Tz75LCV7D+fos35Ln36DaN6i9hNmXrN8XvrXfbWSaLXv1I1Jdz7HlIt+yqGH\nncBLC55gjz36pXgpsZk160k6duzAT386Kn5lHwceOITTTz+BWbPuYOghx9KrT/Be8JF5T/xJ1zzB\n8uyzz3LooYfSv39/AEaMGFFLbES6XLwVQ15sS5B7J1biNW8PH4+CgoLQe2/lz+LFiykpKWHMmDGh\nnZOrqqqYPHlymLvK69fb/8fDE0CJptKvq1jxL69ONVblPy8+wZKP32K/w44P7bl04BGnMvzI0XHO\nNJoS/kktqy4gj0Qm9IYkZDIlUMprF+WqQGnqIiQeKcWkfPXVCo4+5kwql33FCWMncsRJ58eM+xAR\nxl0ZHBjbvmNXJt35PFMuOorDDjuRBQsep3//YCEQRKJWlAMOGMLGjZsTbtfPX/5yLc/Pe4XbJzhp\n9BOdFCsqKkITemFhIWeddVZIJPjFRrz2/MG40QJkoSZOJSjew5vY8/LyQuLAHw/jWXaqqqpCQqW4\nuJjS0tLQZoSTJ0/m4IMPDmu3qqoqbD+gWInmIpc010WsRMsXE8S6Nd/TrkOXsN9om/YdGXX8ubTr\n2DVUlkrsktF0yGi8SuT7utBQLC8mUEygJEBSIuWvf/0bzz//Elu2bKF5i5aMu2o6ex9QmtC5sdLj\nt+vQhYl3zGXKrx2hMn/+/zFw4B7JDC0uu+5amPK5rVu34tFH7uK008bHrBfpovHym3i0a9cOSE6g\nRHPrBLk7PJeQZz0ZN25cYK6TZJYRjxo1KszVFIk/AV2kcPBEmidy/PU++eQTWrRogYjUeTPDWK6f\nLz97n5effoDTLriOVq1rMt0O3C85i5pheOScdSUWuRqEW48CJVUyGTTb2MSJiOwBXAJ0ARYAa4HD\ngBbAr1R1U6ptJxU4+69/PUfRQCfmpHrrFr5fGT1INFnadejCpNufo6BdJ0pLT+bDD4NTg/ftu18o\nHiVTsShB+AXKV19E36DOP1FGBtHOmDGDSZMmJSRQIpcERwuM9TN69Ogw9878+fMDVxwF4a0i8qwo\nQfhdQVOnTmXkyJFh1pCSkpJaYsOzskyZMiWsvFu3buzYsSP0OZX8K5FBub89aQ8uPTE81mfX3ffm\nnN/9NUygGEa6OOrgJxJ6JUV5BgaaSwG49SxQcs2K0tgECoCq/k9VfwWMBkYAx6vq+cBjwEl1aTsp\nkbLnkEP55N2XARhy8DGMOu4Xdem7Fm07dGbiHc/Rpn1njjjiZObPfzWwXjp35U0Ef5AuwJ1XnhZV\nKHjlnhUl2mqfRFxGfnGSyh47FRUVIUuMf0Jv2bJl3ERmQWKlqqqKqqoqIHoCtpKSEsrKymp9R716\n9QoTKt26dWP33RN36/nZsWMHa9asYcuWLaGyoqIimjdvTsuWLQNXJBlGNklatJRnYBC5JFTqSnnA\nK4BcEyiNGRE5BngGmAN4E0wlsHNd2k3K3eMJlLFX3M5+hxybVEdff7mYj995iSNPju0yadu+ExPv\neI6/Xn4Kp5xyLkcccTB/+9uf6dy5U9imgqnw5pvv0qfPLvTsmdgSWL848QJYIwNRgxg3bhyVlZVM\nmzYt9N5j8+bNTHkoOQtQpEAJWmIcL5Ga/3N1dTVFRUUxl0v7WbBgQcgi4q0aKi0treWm8YRLSUlJ\n6DVixIhQjEyvXr24//77qaqqCruP8USntyrKT3V1da2NCvv161cr30w8Qbdu9Xe8+eLjcX+XhpFO\nEnIZlZN+sXLY/tl1/dRFKJWnbRRZo0FYUaYBG2fCNzPDy7etjXmaqj4NPC0izwDr3eJC4Ku6DCcp\nkdKxSw8m3P4s7X3BhonSeadeUVfGRNKmXUcm3fk8Lz99P0/eO4UhQ44MrNe3735JuXy+/LKSjRs3\nJixSli59OyRU/LEhyWRB9QeVghObs2njelq3aZ/wuP3CxC9Qok3uY8eOpbi4OHDDQiC0O3Qko0eP\nZvbs2bXO80/8CxYsCMWpeLEqkRsojhjhrOKKlrCtV69elJWVsXjx4rA8K0HXs3r1atatW0efPn1C\nZXl5eXTr1i2w7UjiLVVu17ErzVu0TKgtw8gEMQNyyyP+poNcjVOJRXnyp+SaFSWmQImVAPuKtA8l\nPt1Pd15+flwE7wwJrC4ihwAn4sSgPAusFpG7gFbAhXUZSlIi5VdXT09JoAC0LmiXVLBiXl4eo44b\ny5CRR3PDRUdErZeMUDnttBMS7t9rO4ixY8eGRMuHby1g0DDnurwJcfny5bV2+w2aJOuS68MTSpET\nuydQoHYcSCJWIK9OtM0FPTfWxIkTqaioYPLkyYwZMwYIX4UUL6PshAkTKC8vZ9u2bSxbtgyAjz76\niGbNmoWWaAN06tSJTp06xR23h3/ciWyQKCIcdmx63ZaGkQox87KUxzgx1rFYNASxUp7aaXUVKPWa\naTbeDh3e8WyIlQRR1VeAVyKKZ6Wj7bTu3ZMJOnTeCYi+5DRTwbPRBAqEx5lMu+6XtGvXNvTZmxjn\nz59PWVlZ1LT2qcZMRE7CnksFwoWBP8gVwgWEvw2/lcYf/+Kf5GPlYfETS5h44+jVqxc//PADzz33\nHMOHD0dEGDBgAIsXL+bzzz8nLy+vzqt9/Nfoke69fwwjE6S0zLmcullasu0CikZ5aqflokCJakWp\n2xZiTYKcFyl+IoXK//3f9HrpE6I/jffo0Y0NGzbVGl+sp/dkg2D99f2uEW/lTiL74PjrVFRUsG3b\nttCy8MgxRIt7AWeFkj9bbmVlZcz+N2/ezJo1a+jRowfgiJX8/Hx69+7N4MGDqa6u5oMPPgi1mY4c\nKtEwoWI0FJIWK+URf5Ml16wq5cmfkg73Tk5ZUAwgydU9dWVF5ef88E3iMTSRqzT8E7/kt6K09GR+\n//tr4q5U8aOqYfW9Jc3RLCf+NPfeTsdenMkVV1wYEij+uvGEyrZt25IaczSKi4vjCpQlS5aELU32\nVgwdPeYPnP2726LuzxM5fv9ePX7r0LRp0xg9enTIUhN5XXPmzOGjjz4KK9u2bRvFxcW0b98+lDsG\nalYGRRtDOohmEfpkUfBKsoaAiOwnIrNE5E++st+KyO0icnc2x2YEM55pYa9opLSEuS400BVA6bCe\nZEqgBFpRTKAkTL1aUlZUfk71ls106b5Lym14k+X27dt4asYNTJ9+Dx07tmfSpEsTOv/662/m5JOP\noX//8PT7ntvIL1a8p3jvKT9yR+Mbb7yzVvvXPfA2+c1bRI03mXDG3lRXVwNw02Mfxx1vtEk1Xv6T\nyBU0kWOZ+/BNtTKs+i0NsZY++3dB9vj888+58847ueCCC+jXr+bennhi9CfBqqoqiouLWbhwIXPm\nzAkJlEg3WTrcP36CLCrvLXyOnXctoUPn5Dc/zDaq+raIXIEboCYizYF9VPVsEblAREao6sL6HJOI\njAF2A94DSoA+wF+BdjhJnrqo6kQRGQ+0Bp5X1U/cc/+Cs3RxIfA+MAH4EbhHVddH9lUfBE1gf2Nc\nQM3k2/GXR2sz4X2EyiP+pkK23T/liVetizipD6tJg1jNk+PUq0jZZ8RRSaUeD4qF8CaYZs3yOemX\nV7Jly0b+/Oe72HXXQs48M37OmJNOOpqOHWuvrAkSJ17gqT+eIwi/m+eqMdFjWTxatUpsB90ggeJN\n5JEWlESCYv3tikhYmntP1ESKkiDXT3V1NdXV1WH7AN1///0AvPHGGyxfvhwgLONuLIvPmDFjmDNn\nTkiYlJWVBQoVSF8K/UihctqF18fMipwJVq1axapVq8LKtsfYbRtARAYCU3HyEIj7N1KxdgG+c99X\nAqk/FaTOWmAz0EJVbxCRE4CdVfVlETkYaCMi7YBS4DWg2nfuSqAlzvUdibNC4EdgW31eQDziCYto\n9ePVqbNQgfS4f3LF9ZNG6tOdk9U4lPvroY96ol5FSl32RomWpfX0CyezauVX/PriCRxyyHB22aVn\nzHb23DP+Mmjvyd0TJwsXLgwtl43En/bd26dn2rRpMVfziEjM2Iho1pOysjJ69+5dK02935UTFAQb\njXg7KQO8Me8xzpsUHvvTrFkz8vPDfzpe356w8OeHKSwsDN3LSLGyadMmZs2aFSZKvL9+ceG1n6pV\nJZ5QqU+B0qdPHzp37hx4bNWqVTz33HNRz1XVj4BjIstFpA3OpA7wA+AtwyvEsUbUK6r6FPCUiEwV\nkY+BElW9wT12i4hchPP/z3fA7TjC6wr3+E0AInID8CbwAbAMKAOiPjp/eul9NO9QEFbW8/SD6HX6\nyLHD8GIAACAASURBVDRfXTjxxEo6J8aUY1Ui3ydCrsWpRJCMFaVeY02oXwvKzLkwM+K/jLWf1Fv3\nGSfnA2fjBTqKCOdOuIPfnjKIuXNf5Je/PCulfoLcPd4eO/EmRW/y8+dE+fS/r9N/n4NCn+uSAdXf\nfyyBEkm0Pv11VRURYdOGdVR88i4Dhh4aJiY7dN6JnXbZLez8aBN6NGHkFyuRtG7dmm7durHHHnuE\nxEmkIPHnpPG7mpIVK4lYVBoiItIPuBrYU0TOU9XpIrJIRG7BsWTclYUxHQEMBdoD9wKPiEh/oAjo\nD3RV1dUi8i1wGfCqiBwOfAIchSOuPgZexJle9wHuiNVn/5t/QYd9d4tVJaOkayKMZU3xqNdVQDlo\nVUlUoOScOMmAFeX0o5yXv49FrWDI8+nvKxvkvEhJhNZt2tO6TTvefz9+jEck0ZYwl5SUhO0SHI3I\nzfMA1qxZQ9WyxWEixSOZCTFyEvZyryxZsiTMCpKIQPHXqa7ewqYNP/Ll4vfYsG41Bx5xCt+vrOT7\nlZXs2LGdZs1qfhYDhh4aai+ZlUhBuWI8sRJpTTn66KOB8FiUSEESRCpWlVhCRVXZsX0bzfKbJ9Vm\ntlHVz4GzIspuydJwvP5fAF4IOPQpTupsr97VAXVmRHz+XRqHlhJ/Y1y9TniJCBVI0gUEjUKo5JpA\nyam4k0YYkFvvIuWfD/yJkWVn0blb9I3sUqGgTXuqqlYkNoZ/zuXIIw+jdevg2JBkJr5ok+j+o2L/\nxzH/ib8zYOhh9CzsF3g8aPfg+fPnM3/+/MBVN9EIWkX0+1MHhVw2O3bs4F/3XR869vzMv0ZtyxMg\nnttp+fLlIVERKYrmzJkT5v7ymDx5MkuWLAmMUfFiUzzRkIjLKhWiCZWzfnsr3634kkOPOSet/RlG\nJqk3oVIflKenmZzcwbiuAuJGcjqhW6aod5Gy55BDyctrFr9iknTq1otly2Ivb/ZcOb/5zS+pqlpJ\nUdGutY55REvCFsSsWdM47bTwp57IvWYixUTxgGG17oN/MvaLEb9oSmZJ7iU3Ps7kC38SFuA64Yy9\nad26NWVlZaEkcN4+Q1ATV5MIvXv3DqvvH3PkUmKPysrKUIxKkFCZPHkykyZNClxp5L2PtV9RogQJ\nlaIB+9G2Q5eU2zQMI7MkYkVJh0DJKetIMlxBo7Om1LtI6TdwWEba7d67iPdfTyxa6JZb7uGSS86P\nejxy8vLv4RM0uQ0btk+tNr5fuZzeRQOi9rFryeBAC0Eiqdw9/BP25s2bUVVat24dOgZw+78qauVB\n8a/qAWdljxfrEm8lE0Tf2bm0tJTS0tJaFqBx48aFRFCkGPKEyjvvvMPQoUMpLi4OFCpB152Ku8cv\n/CK/y2vOHd7g41OMzFDfsQ1GaqTyPdWLIKlP4XAFjlO1kcSk1O+aywyyS989Wb9+A1u2bAk87okM\nbxffoGNQ++ncL1AgWMD4A03XrFkDJJ8czJs0I/EsEt5GfDt27GDDhg1s2xa+GrNly5a1BArUdpUE\nCRQ/XoI4/yuSwsLC0CuI0tLSWvEokdc2bdo0KisrWbBgAeBYYTZt2sQDDzyQ0KqjdImJoPT5hpFt\nUsnB0thJd1K7Y9+f1/gESiMka4GzddlcL4gevZ3JdPnyKoqL+4Yd84uMRCwF0fYJisXSpW+zYMFr\nnHSSk7Lihcen8ZNTfpXw+UFWgerqal588cUw4SUiFBQUcMPMD8LqxlrWXFRURGlpKWedVXvl06pV\nq1i6dClDhji7W/bq1StQuEDtexckYKJZWbx9gqDmu/dbV84//3wee+yxMDdbIr+NZK0pgW6eiLLG\nsOLHSA2zmGSR8rqdnuh3V6+uHBModSYrlpSP3n4p7W16K1JiJcPyx0l4E39kLIo/DX7QcT+RK4NG\njRrJwIF7ArBh3Wo+XfRazDGPL3+ICXe9iKqyadMmOnfuTGlpKeBMnM2aNWPz5s1h54hImEDxAkxj\nrfC5//77KSws5OGHHw57jRw5kvHjx/Piiy+GzvELlF69eoU2KoRgURJpbQmyrvgDZ6NZKv7+97+H\nrexJRCT4U/V7r0QIEjWeJauoqIjNmzebRcVoUNRr6vwsEO/6clKgGGmh3i0pE87Ymw0bNgRaA+rC\nisrPAOjTp3fMep4r4Ve/uoLbbnOEiD9mApxJL5pFAGqevPv23a+WUJk5828MGuS4U2678izufPoL\n8nxBtMsrPuLjd17hp6Mv5Kuln7Bu9XeICH379mXQoEFhbUXLR5Lsk/7IkdGTWYkI7777bijfSllZ\nGWPGjAmr47euRMsc67e2FBYWxrx/QaRquYjl2kqFioqKWvs7GQ2Dk3mcIsKzSSfjNskVK0pOunrS\nsfw41r5A5dEPNSmBEivwtQmu7IEsuXsKCgrqlH02iGVLPqJt27a0atUSCLaAeHlPAC655Jeh936B\nEqssEXbZpSdXXPFrbrzxdgDu/8uljL38ttDxVgXtGTTscACGHzmaiWcOBqBNmza19gZKlGius6AJ\nPNK1EVkntKR4woSwtjyLSqQrKBH8Cdli4YmDZLK/ZsI148X2mNun4ZNovpFcoK7jTHopcqLkSH6U\nupAVgZKMq+eKKO+N7Lh70i1QAFZWfk7PnjuFlRUVFVFWVhYy448dOzbkxjn++HNo27ZNYDK3RDPM\n1nz+kttuuyf09H3ZZReExNLbL/+Tb79eGqrbrWchO/fdA0j9PiRrPfDqTJ48mSlTpvDaa6+FAoiD\ndkGOtKR4JCJQPIuK3+1TWlrKuHHjoi5L9sbxwuPTqPjknbh9+M+JJN27Jkfr9/aJp2W8HyM95IqF\nJBbpElI56/bJohUl5y0ojUSUiEhfEZkuIo+5n+eIyN3+3dlTod5FSrrN8x6rvv2K3XbrE1ZWUVHB\niBEjGDt2LCUlJcyYMSNw5Ui0rLNBdOzYMbSLsXdefn4zhg4dHBIp+fn5PPXUA6Fz/vnATUlfTzSh\nlMqTvXfOpEmTGD16NFOnTqVXr14hoaKqlJaWhkTE6NGjw1xEVVVVjBw5ktGjRye0kWGszQSjXcPU\nR99nnxFldOyS+i7EkTEqiRBZ1xO23r2w2BSjPvAm2/FMC3ulQs4KlSDKox9qEgIFGk1wraouVdXz\nfEUbcPYT+6Yu7WZtCXJdEnEFsXnjenbeuUdgH7E2CAyioqKC7du3s2nTJlQ1TMR8//33tRK19enT\nm+HD9wtzU+y//xCOOeYnACx6/VnuvvY8ohEZ/xBtBUokHdvkM++tpdxxxx088sgjHFmyjTNGdOTE\nIa04smQb+3ReQetvX2Jw33bMnP8ZHTt2BMIT1c2ePZuZM2cGprHfaadwy5RHokIl2hLlSDxx0a1n\nId169olTO/y8IBdXKmLFz+LFi/nxxx858sgjARMqDZ2G4u4JmnRTFSs5JVRiWVGi0GQEikcjESp+\nVPUUVR0P9HJ3b0+JrIiUKY+8xwcfpC9oFmBb9VaeeGJurfIZM2YwZ86c0GS1dOnbodeDDz4GwIMP\nPsbWrVuBGjEgIjRv7uzh4k/kVlJSEhIjsVb+ANx222RatXJS73/w5gtULVtcq86WLVtq5TwJmlj9\nZZ3aNqcPH3Pawb3o1w369etH8+bNmTt3LjfddBP33HMPTz/9NF9++SWDBw9mz17N+OmQbixZsoTZ\ns2czfPjwkDWlV69eNGvWjI8//jgwDmennXZiwYIFITeZx+jRo+Mu544UKp4ISkfG2Gh4riu/eIl2\nP73ly0HjeO+99/jmm28CXVQWp9JwaCgCJR6piJWcECopunli0RDcdymRK0LlnQ/hpevgpZHhr3fO\nTbSFyDiGb4G2qQ4nK4GzfgGQjuBEVaVt2zYAYStuIienF154jIsu+gNPP/0Cy5a9y+eff8GmTZsZ\nOnQw+fnhtyIvL49ly96NmcgtHh07duCGG67kN7+5EoA7rhrDlAffDKsT2S/UtqR4n/Py8lj134c5\n9/e/p7Jyd8aPH8+TTz4ZElix2GWXXSgtLeW8887j2WefZdWqVaxatYrNmzfzwAMPkJ+fH5bBFuDb\nb78FaoKIZ8+eHba54aRJkygqKmLK/7N37vE51v8ff362sTHMmQ0LGyNyKpQZmaWaIodapSKq6YQO\nKvatHJrxjXSSpr6ilBalHxpFiBAhcpw2h43FIqeZnT+/P+77unbd58PuHXA9H4897P5cn+tzfa57\ns+t1v4/TpgG2g2u12T7aJoJlHT+ivR9b9VRsjderV4+LFy/SpEkTQA+ivdq4VsSJOVdTILBdJtk+\nZE9cXTWZPO4KjkrTn6ef8UvLIWCEzTOEEHWBeKCTEOJVDN3OcwBvKaXbEqzC3D2zlh702FoFeaa1\nRFq06Epubi65ubkmrprGjRuyYsUa1RIydeprVKvmx403tub48Z3qPOWh5chS4kwsy2OPPUCbNq0B\nOHfmbw7t3mxy3Nvbm9atW1ucZ/7gvPHGG1m0aBGvvvoq77zzDrfddhtJSUl2BYq29oevry+bNm1S\nm/gBNG/enJUrV/LjjyX1k7UP4oiICJPYlHXr1tGrVy82bdpkUgl34sSJJte1V1vF3KVkztnTGez7\nfZ3dOa5gblGx5gKyJpa8vb3V3xNr8SnPT/vaY3vU8QxLGcLHxF4bD/GyZlI5XKMM3DzOUOECpbTM\noPJYVVxASvmvlPJpKWUrKeUMKeUIKeUzUspS/Ye86srim8dvZB4/zNwpT6jl6BV8fX3x9fWlRYuu\nrF27hKNHf6dGDX+OH99pV1y4G8dgCyEECxeWpCC/N/FhigoLLK5pDUWoXL58mblz59K7d28efPBB\npk+frgbvaudGR0cTGxtr04WhEBwczN13383MmTN5+eWX+f7776lTpw5gPf5i06ZNxMbGEhkZSWZm\nJpmZmSYpymlpaaSmptrM/jF3+9hrYljNvxbHDrvnCjTvnqxQGgtISkoKKSkpZeKa0vE87roCrgYX\ngjsCrMJcPm64ea67OBRHXIVCpSyoUJFi6+EhpeTi+TMUFphaCVZ8MYs135r+ogYGt+KhZ99Sg0IV\nhBBqiu9tt0WTkeE4fVaJVVGw97B3JSOodesQnnrq0ZL7+HK2U+elpaXRpk0bfvnlFxo3bszo0aM5\nevSozfnNmzenQYMGDB06lIEDB9KxY0dVfGgZMWIEhw8fZsaMGYwePZp27dqxZMkSxj9gaIhoLiIi\nIiJITEw0CZjNzMw06YOkuIAcCRVFrMTGxqqCSiuMqtcI4J5h4xy9NRY4Cm51toptaa9TEQghRgkh\nEoUQ3wghOhjHEoQQ7wkhplX0/sqLoXwLUOrsmMqGbh2qJDhr4XAwZ/Piki+nr3kdC5YKEymXL10g\n7cAOxs74luN/7TU5lnXyKN9/Np3Ll0ytI/c++hL9ho42GRNCMHv8fRaWFC0FBQXs3r3X6rELFy5Z\njGljWqxZOVwRKAqTJ79KQIChGuaPSXM4d+Zv9VhhYSGNGze2EEU+Pj7Mnz+ff/75hx49erBixQrS\n0tLU2i8Afn5+PPXUU3z77bfEx8fz7LPPMnz4cOLi4vjf//7HmjVrWLp0KUOGDOHff/9V11autXv3\nbgYPHkznzp154oknkFKSkZFhsX/lAa8VKlq3DpT09snMzLQ4BqY1VJSvkSNHWggVd3BWgJiLFW0m\nkDmFhYVW34vKJlSklP8zmlSnAfcKIZoBPlLKsYC3EKJJxe6w4igvoaI0qzP/8gQVLrjccNt4mgq9\nf3OR4KZosCZM3BYs15FoKTeRcunCWdZ+N4+L588AIGUxW9csISNtP5cvnTOZ26hpSx57YSYBda2n\nwJrzwtvfAzB69GM2BUSnTjdZHX/yyRecvYVS4efny7x5s9TXH75hKJiW8NUepJTs37/fZL4iRtq2\nbcuzzz7L2bNn1WNKTMn999/Pzp07iY+PZ8eOHQwcOJBbb72VRx99lD59+jB16lTi4uLYs2cP48aN\n488//6R///4We7t06RLLly9n6tSpREZGmlTmVdxrm1Z9Rfc7Hgaca9IIliIGrNdQ8ZRQgRIBYV6g\nzhytWLElVHx8fPD397d6rKIQQrQXQqwQQizX/FtfCOENPA8sAJoAirrKAJpW0HYrBWX9gLMnRsqt\n0+7VwiTrw5UiE8ka9sSAtWNWxpwVIU4JFfNrXQeipUyye37+/n8U5udx5wPPqGPe3j40C2mPn5/h\nj36NWnUYNma6R6rPNmzSgltuH8iMGR/wyy9bLI73iYygWTPLBybAhAljkVIa++cYAmVtCR13LCha\n+vW7nV69bmPjxq1kHkth77a13NQ9iipVqlCvXj31QahYOZ5++mm2bNlCdna2xVrh4eHMmjWL3377\njUGDBhEZGck777xj4Z7Kz89n/fr1vP7669x3331MnjyZbt26MWXKFJNmjCtXrqRbt268+eabjBgx\ngqpVcwgIKCAgAC5cgLVJb5KVlU/t2rWJi4sjKSlJdflYq5uiWFNsdVU2FzojR45k/vz5alzJ2dMZ\n1GtkP8jWk5hnNinUrVsXKIkP8oRYadSoEY0bN+bAgQMcPGgaQG7eUNIcKeU+4F7tmBDCB/gIeFdK\neVII4UWJMGkGLCv1pq9yFKFSUW6TAXt+YnlH82wJxzEU2nM8ntkzCecDaBVryjVQIt8pKuihv3kx\nhD9UMdeurLhkSblwNsvkddbJo8x583HOnj5hMt7jjvu5w8wtU71GAGEde1DVr5o65sny+MNfmEmL\ntp3ZunUH+YXF9HuoxELy8dz/2szU6dz5JnUf2pgUa4LEUbaPM8ybNwsfH0MxuI8mj7IIogXDg7Bd\nu3bceuutLF261OJ4TEwM7733HgsWLOD555/no48+4q233uL3339n9OjRjBkzhvHjxzNu3DgmTZpE\nYGAgM2fOJDc3l6lTp3LHHXfw9NNPm6y5e/duFixYQMuWLSkuPsH8+fmkpEh+/12SkiL53//yadrU\nyyJwWWstsVbN13yOPcLCwtTvv/rQ+loKrlhKPEnPnj3Jzs7m/QmOC9o54sYbb2TIkCEmX3379nVn\nqRlAK+BpIcQQKWUGUCiEmAUUSilPlnqz1wjW4lXK0yVk77Wtc7TzPO76meTifGdcP2XgHipXcemK\nQDF3A5nhsnXEzXNsXf9awCVLSsbRA9zUveSPaMMmLXh28mcW86r517IYK2t8qlTl5be/48ypdBoE\n3kBO9gV+WmwIUG3YsD6A1a7F9lDmekKcKDRq1IC4uBeZPNlQKn/ZZ4bfLKVeh/JJvVu3bpw+fZpN\nmzYBJbVSGjRowH//+18WL17MwoUL+fnnn7l48SJ33XUX99x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XLl1Yv349hYWF6r1PnGjo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K6k+c6fP5+wsDDCw8PVc9LS0tTOxsoc7XohISEsWLDAo3uNj49n7Nix1K9f3+VzMzMz1RiW5OTk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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"%matplotlib inline\n",
"\n",
@@ -203,7 +242,7 @@
"import cartopy.feature as cfeature\n",
"from Nio import open_file\n",
"\n",
- "from wrf import getvar, npvalues, vertcross, smooth2d, CoordPair\n",
+ "from wrf import getvar, to_np, vertcross, smooth2d, CoordPair, get_cartopy, latlon_coords\n",
"\n",
"# Open the output NetCDF file with PyNIO\n",
"filename = \"/Users/ladwig/Documents/wrf_files/wrfout_d01_2016-10-07_00_00_00\"\n",
@@ -217,11 +256,11 @@
"z = getvar(ncfile, \"z\", timeidx=0)\n",
"dbz = getvar(ncfile, \"dbz\", timeidx=0)\n",
"Z = 10**(dbz/10.)\n",
- "wspd = getvar(ncfile, \"uvmet_wspd_wdir\", units=\"kt\")[0,:]\n",
+ "wspd = getvar(ncfile, \"wspd_wdir\", units=\"kt\")[0,:]\n",
"\n",
"# Set the start point and end point for the cross section\n",
- "start_point = CoordPair(lat=26.75, lon=-80.0)\n",
- "end_point = CoordPair(lat=26.75, lon=-77.8)\n",
+ "start_point = CoordPair(lat=26.76, lon=-80.0)\n",
+ "end_point = CoordPair(lat=26.76, lon=-77.8)\n",
"\n",
"# Compute the vertical cross-section interpolation. Also, include the lat/lon points along the cross-section.\n",
"z_cross = vertcross(Z, z, wrfin=ncfile, start_point=start_point, end_point=end_point, latlon=True, meta=True)\n",
@@ -229,12 +268,10 @@
"dbz_cross = 10.0 * np.log10(z_cross)\n",
"\n",
"# Extract the latitude and longitude coordinate arrays as regular numpy array instead of xarray.DataArray\n",
- "lons = npvalues(slp.coords[\"XLONG\"])\n",
- "lats = npvalues(slp.coords[\"XLAT\"])\n",
+ "lats, lons = latlon_coords(slp)\n",
"\n",
"# Get the cartopy projection class\n",
- "wrf_proj = slp.attrs[\"projection\"]\n",
- "cart_proj = wrf_proj.cartopy()\n",
+ "cart_proj = get_cartopy(slp)\n",
"\n",
"# Create the figure which will have 3 subplots\n",
"fig = plt.figure(figsize=(7,5))\n",
@@ -254,12 +291,12 @@
"\n",
"# Make the pressure contours.\n",
"contour_levels = [960, 965, 970, 975, 980, 990]\n",
- "c1 = ax_ctt.contour(lons, lats, npvalues(smooth_slp), levels=contour_levels, colors=\"white\", \n",
+ "c1 = ax_ctt.contour(lons, lats, to_np(smooth_slp), levels=contour_levels, colors=\"white\", \n",
" transform=crs.PlateCarree(), zorder=3, linewidths=1.0)\n",
"\n",
"# Create the filled cloud top temperature contours\n",
"contour_levels = [-80.0, -70.0, -60, -50, -40, -30, -20, -10, 0, 10]\n",
- "ctt_contours = ax_ctt.contourf(lons, lats, npvalues(ctt), contour_levels, cmap=get_cmap(\"Greys\"),\n",
+ "ctt_contours = ax_ctt.contourf(to_np(lons), to_np(lats), to_np(ctt), contour_levels, cmap=get_cmap(\"Greys\"),\n",
" transform=crs.PlateCarree(), zorder=2)\n",
"\n",
"ax_ctt.plot([start_point.lon, end_point.lon], [start_point.lat, end_point.lat], color=\"yellow\", \n",
@@ -281,21 +318,21 @@
"## Plot the cross sections\n",
"\n",
"# Make the contour plot for wspd\n",
- "wspd_contours = ax_wspd.contourf(npvalues(wspd_cross))\n",
+ "wspd_contours = ax_wspd.contourf(to_np(wspd_cross))\n",
"# Add the color bar\n",
"cb_wspd = fig.colorbar(wspd_contours, ax=ax_wspd)\n",
"cb_wspd.ax.tick_params(labelsize=5)\n",
"\n",
"# Make the contour plot for dbz\n",
"levels = [5 + 5*n for n in range(15)]\n",
- "dbz_contours = ax_dbz.contourf(npvalues(dbz_cross), levels=levels)\n",
+ "dbz_contours = ax_dbz.contourf(to_np(dbz_cross), levels=levels)\n",
"cb_dbz = fig.colorbar(dbz_contours, ax=ax_dbz)\n",
"cb_dbz.ax.tick_params(labelsize=5)\n",
"\n",
"# Set the x-ticks to use latitude and longitude labels.\n",
- "coord_pairs = npvalues(dbz_cross.coords[\"xy_loc\"])\n",
+ "coord_pairs = to_np(dbz_cross.coords[\"xy_loc\"])\n",
"x_ticks = np.arange(coord_pairs.shape[0])\n",
- "x_labels = [pair.latlon_str() for pair in npvalues(coord_pairs)]\n",
+ "x_labels = [pair.latlon_str() for pair in to_np(coord_pairs)]\n",
"ax_wspd.set_xticks(x_ticks[::20])\n",
"ax_wspd.set_xticklabels([], rotation=45)\n",
"ax_dbz.set_xticks(x_ticks[::20])\n",
@@ -303,7 +340,7 @@
"\n",
"\n",
"# Set the y-ticks to be height.\n",
- "vert_vals = npvalues(dbz_cross.coords[\"vertical\"])\n",
+ "vert_vals = to_np(dbz_cross.coords[\"vertical\"])\n",
"v_ticks = np.arange(vert_vals.shape[0])\n",
"ax_wspd.set_yticks(v_ticks[::20])\n",
"ax_wspd.set_yticklabels(vert_vals[::20], fontsize=4) \n",
@@ -327,12 +364,35 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 5,
"metadata": {
- "collapsed": true
+ "collapsed": false,
+ "scrolled": false
},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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2rUghKVFuq25u8PycKnTu7di04QNnYPwNWf97uMPhuVDnHpFd69hIkneaGhdF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\nBgExThN5fLi4oR3mQue5CqYri3NXVfj7kAYhb7GnUAoVwcD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U1aTmt4MKHlw5nfdvgkVZ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ZDiZ0XazgsvsLiXpiwxYPMRJU5AQfdHe/Q/HCqGhhEwsgF83dM9dfD1nepBeKOLqunnzNb+cX5c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YEhBB8F08Jg4Axmm4FxQANgGChbQbEA7zEQ6AOuhaG1aOUaF8zzXzBtndOKoET0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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
+ "%matplotlib inline\n",
"# SLP\n",
"from __future__ import (absolute_import, division, print_function, unicode_literals)\n",
" \n",
@@ -342,7 +402,7 @@
"import cartopy.crs as crs\n",
"from cartopy.feature import NaturalEarthFeature\n",
"\n",
- "from wrf import npvalues, getvar, smooth2d\n",
+ "from wrf import to_np, getvar, smooth2d, get_cartopy, cartopy_xlim, cartopy_ylim\n",
"\n",
"ncfile = Dataset(\"/Users/ladwig/Documents/wrf_files/wrfout_d01_2016-10-07_00_00_00\")\n",
"\n",
@@ -353,8 +413,7 @@
"smooth_slp = smooth2d(slp, 3)\n",
"\n",
"# Get the numpy array from the XLAT and XLONG coordinates\n",
- "lats = npvalues(slp.coords[\"XLAT\"])\n",
- "lons = npvalues(slp.coords[\"XLONG\"])\n",
+ "lats, lons = latlon_coords(slp)\n",
"\n",
"# Get the wrf.WrfProj object\n",
"wrf_proj = slp.attrs[\"projection\"]\n",
@@ -376,19 +435,578 @@
"# Make the contour outlines and filled contours for the smoothed sea level pressure.\n",
"# The transform keyword indicates that the lats and lons arrays are lat/lon coordinates and tells \n",
"# cartopy to transform the points in to grid space.\n",
- "plt.contour(lons, lats, npvalues(smooth_slp), 10, colors=\"black\", transform=crs.PlateCarree())\n",
- "plt.contourf(lons, lats, npvalues(smooth_slp), 10, transform=crs.PlateCarree())\n",
+ "plt.contour(to_np(lons), to_np(lats), to_np(smooth_slp), 10, colors=\"black\", transform=crs.PlateCarree())\n",
+ "plt.contourf(to_np(lons), to_np(lats), to_np(smooth_slp), 10, transform=crs.PlateCarree())\n",
"\n",
"# Add a color bar\n",
"plt.colorbar(ax=ax, shrink=.47)\n",
"\n",
- "# Set the map limits\n",
- "ax.set_xlim(wrf_proj.cartopy_xlim())\n",
- "ax.set_ylim(wrf_proj.cartopy_ylim())\n",
+ "# Set the map limits. Not really necessary, but used for demonstration.\n",
+ "ax.set_xlim(cartopy_xlim(smooth_slp))\n",
+ "ax.set_ylim(cartopy_ylim(smooth_slp))\n",
"\n",
"# Add the gridlines\n",
- "ax.gridlines()"
+ "ax.gridlines()\n",
+ "\n",
+ "plt.title(\"Sea Level Pressure (hPa)\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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L6dT4v5Q7h29a5vW+lrIr37WWqi/La9B8H3hBdZ5NZ30bAH8D/GiFobOzngsoWxJ27d6W\nVQ9gz6DsLWyVWUZY9vmUh589i7IHwd5unn9M2Wq3McMfzjbM+k+gPKfuNT3v090Y4pDMKLuY7j1c\nsPNabwP8sSfsBOWFa7v9fVVrpxe6Yd9HP6EMSW/t9x6Jqpv8nvfHBl3jH0XZucMwfgys2++5dmRm\nQRl8PhB37PJ6uffyVsBlaQ9t0sKwhUdqqcw8NyKOB/6Kcoel93A2MvOHEfFJYM+I2JKyZeFPlL++\n7gTsQXkx0+X8FHh2RPwD5U772Zl5Yu9EmXlFRPwjZS9JP4mIL1GeXL05ZY9ou1GeS3IOcEDV6cI1\nVS1jXzQxM79YdZX8VmDriDiYcif/PpQnZ29H2RV2x6BDa95bTfe9iOh0S/0KynMlntc13Q8j4jzK\nHbOLKU+ufy3wjcy8oTqZ+5yIOISyp7FrKbsM34Jyh3MpH6t+8f8aZbhZk7K14a8pW2s+Wz3nM6vu\nhPeOiIdy+0VpN6Y8jO7DwIcy89Yor7fzNeBnEfGflC0JjwAenpl/Wa230zr4kYg4Arg5MztdbPf6\nv5Tb9PiI+Bjl+293ypaCt/VMu9S5GMt5C2Ww+XFEfAq4O2WX6pdRBv1Rl9ftOMpDwJKu1pbK8ZRd\nXI9y/s6y669aYvai7I79yIj4L8pzY15O+T+xnC2Bz0bEtylbqS6jPBT0bynPnekNNwAPi4ivUXZ8\n8WTKw18/nVWX5yO+j3ajfD1+GRGfpjxc9gGUQeYSbu8A4Z2U/xvHRcTHKX90eQPl/8KfDfE8v0XZ\nIcEzgU/3jLttO2fmm6sQf1BEXNPVYrzce/lZlC2ykhZF3d3EefPmbfwbZWC5hT5duPZM92rKX/qv\noTyR+mTgPcB6XdOcR9mzUr/5HwH8qJr/Fqouqunplrpr+udQ7ih21nc8XV1jUx769H3KDgcuouxp\navNqWS/pmm4f4MYRtsf2lDv2ncNqLqoe/5+eaW5hQBfGlDt6h1DuTF5LuTP87J5pdqfsJeoPlOcf\nnVFtz7tV4+9MeS2WkylD05WUO2GvGuI5/Dnl9Y5Orea7nvI8pw8C9+kz/QsoD1W7qrr9iup6Sz3T\nPZlyp/fKarqTgL/rGr8a5c7txXR1H0wZYm4B3t6zvMdSthJ01vs9YOueaW7rRrjP63QL8KQhX9Nj\nut5LXwUeNmB5y3ZL3ed/5zd9xm1djbsZuGef8ccAhy+3fspDN1d5T3et++zqvXM85XVnju5e5oCa\n16MMlEdSHqZ2I+V5KN/rs+59qnVvUr2fr6QMJfvRp8v4Ed5HW1SvwSVV/b+h/LFl257pnkb5mdP5\n/3glQ3Qz3zX/t4BvL/d+ogxAXwJuoPo/H/RersY9ijJMPWXY94o3b97af4tMOymRJGmeRMQ+lOeL\n3Sszr6q7nlFFxNMofxTZNJc+t2jU5X6E8jpb20xqmZKaz3N4JElSo2TmUZQtWW+d1DKr84x2pQyC\nkmYgIp4aEYdFxO8i4taIeG7XuDUi4v0R8YuIuKaa5jPd5/9V090rymuNXRkRl0fEf1Td4A/Nc3gk\nSVLjZOYOE17eHynPA5M0O3cDfkZ52Ymv9oxbi/Iw2X8BfkHZZfyHKM+xe3zXdF+kPE9xe8pDxj9N\neUHrlw5bhIFHkiRJ0sRl5nepeoWsemTtHncVsMoPGxHxeuCEiHhgZl4QEZtV02yVmSdX07wB+O+I\neEuW1yNbloe0SZI0ZzJzr8xcvY3n70haaPek7CHziurxE4DLO2GnckQ1zdDn4tnCMyVVt7Q7UF63\n4Ialp5YkSdIcuAvwYMpeFy+tuZa+ImJDYN0JLvKPmTnoYuNDi4g1gfcBX8zMa6rB96PsEfU2mXlL\nRFxWjRuKgWd6dqC8MKQkSZIWyy70uT5e3SJiw7vAbyf8S/yNEbHpSkJPRKxB2YV+Ul7XbtlZGOGC\n0wae6TkX4POf/zybbbZZzaVIo3nTm97E/vvvX3cZ0sh876rNfP+232mnncZLX/pSqPYDG2jdGyiv\nDrzRBBb2W2Dv8gLZ61Jez29kXWHnQcAzulp3oLye3no9069O2cHBxcOuw8AzPTcAbLbZZmy55ZZ1\n1yKNZJ111vF9q1byvas28/07Vxp9OsNGwMPrLoJVws7GwHaZeXnPJD8G7hkRj+06j2d7yhaeE4Zd\nj4FHkiRJ0sRV18vZhDKgAGwcEZsDlwG/p+yqegvgL4E7RcT61XSXZebNmXl6RBwO/HtE7EHZLfWH\ngYOH7aENDDxTt9VJwDXLTqYmKeouoAF+AfGMuouQxuB7d/4VdRcwRZdCHF13EVqRM+ouoHG2pryI\ncFa3D1bDP0N5/Z3nVMN/Vg3vnJuzHdD5b3gJ8BHK3tluBb4CvHGUIgw8Esz3F6gkzZNiQtNImrrM\nPIqlL4Oz7CVyMvMKRrjIaD8GHs1eUXcBWtb6O9ddgTQe37uC4b9nhp1uVrb3/dtqBXB13UWoHwOP\nVq6ouwBNnDuNaivfuxpFMeLwaXum79/GKuouQCth4FF/Rd0FSJJUk2LMcWqfou4CNAsGnkVU1F2A\nJEktVaxwfJsVdRcgjcfAM6+KuguQJGkBFVOadtLqXLc0YwaeeVDUXcCCK6Y8vSRpPhV1FyAtBgNP\nGxV1F6DbFCucZ5z5JUmSNDQDTxsUdRegvoopLGMSy5QkSdJtDDxNVNRdgGpT9NxLkiRpRQw8TVHU\nXYBGUsxo+dNejyRJ0pwz8MxaUXcBapUC3zOSJEkrYOCZtoOAtesuQhNXMLsgMst1SZIkzZnV6i5A\n0hCKuguQJElqJwOPNK5iztcnSZI0Bww80koUdRcgSZKkpXgOj7RSxTKPp7EOSZIkDcXAI01asYJp\nhplXkiRJQzPwSHUo6i5AkiRpMXgOjyRJkqS5ZeCRJEmSNLcMPJIkSZLmloFHkiRJ0twy8EiSJEma\nWwYeSZIkSXPLwCNJkiRpbhl4JEmSJM0tA48kSZKkuWXgkSRJkjS3DDySJEmS5paBR5IkSdLcMvBI\nkiRJmlsGHkmSJElzy8AjSZIkaW4ZeCRJkiTNLQOPJEmSpLll4JEkSZI0tww8kiRJkuaWgUeSJEnS\n3DLwSJIkSZpbBh5JkiRJExcRT42IwyLidxFxa0Q8t880e0fE7yPiuoj4fkRs0jP+3Grezu2WiPin\nUeow8EiSJEmahrsBPwNeB2TvyIh4G/B6YHfg8cC1wOERceeuyRLYE1gfuB+wAfDhUYpYY5zKJUmS\nJGkpmfld4LsAERF9JnkjsE9mfrOa5uXAxcDzgC93TXdNZl4ybh228EiSJEmaqYh4CGWLzQ86wzLz\nKuAE4Ik9k/9zRPwxIk6KiLdExOqjrMsWHkmSJEmzdj/Kw9Uu7hl+cTWu49+Ak4DLgCcB76vGv2XY\nFRl4JEmSJC3p+8ARPcOumc6qgq7zfTLzgK5xv4yIm4EDI+LtmXnzMAs08EiSJEkLZIsdYMt7jzbP\nk4GiZ9hJl8FWh49dxkWU4WZ9Vm3lWQ84eYn5TqDMMA8GzhxmRZ7DI0mSJGmmMvMcytCzfWdYRNwD\n2AY4folZHwvcCvxh2HXZwiNJkiRp4iLibsAmlC05ABtHxObAZZl5PnAAsGdEnAWcC+wDXAB8o5r/\nCZQB6EjgaspzePYDPpeZVw5bh4FHkiRJ0jRsTRlWsrp9sBr+GeCVmblvRKwFHATcEzgG2DEzb6qm\nuxF4MfAuYE3gnGoZ+49ShIFHkiRJ0sRl5lEscwpNZhbc8fSgzriTuWMX1SPzHB5JkiRJc8vAI0mS\nJGluGXgkSZIkzS0DjyRJkqS5ZeCRJEmSNLcMPJIkSZLmloFHkiRJ0twy8EiSJEmaWwYeSZIkSXPL\nwCNJkiRpbhl4JEmSJM0tA48kSZKkuWXgkSRJkjS3DDySJEmS5paBR5IkSdLcMvBIkiRJmlsGHkmS\nJElzq3GBJyLWjIivRcTpEXFyRBweEQ+txt03Ir4TEWdExC8i4qld8z0uIo6NiJ9FxEkRsV2fZW8W\nEddGxH49w19YLe+U6n7DUeqSJEmS1EyNCzyVgzLzEZn5WOAw4D+q4e8HfpyZmwKvBL4YEatX4w4F\n9srMLYC/AT4dEWt2FhgRawAHVdPRNfyxwD7AszLz0cATgT+MWJckSZKkBmpc4MnMGzPzu12D/gfY\nqPr7r4EDq+lOBH4HPC0i7gOsm5lHVuPOBK4AduxazjuBLwNn9azyzcB+mXlxNe+1mXnDiHVJkiRJ\naqDGBZ4+/h74ekTcG1gjM7tbX34LbJiZlwIXRsROUB7eBjwceHD1eBvgCZn5kT7LfySwUUT8KCJ+\nGhF7R0QMW9fYz0qSJEnS1K1RdwFLiYh3AJsAuwNrAdk7SdfffwXsGxFvB34FHAPcHBF3BT4GvGDA\nau4EbAE8m3J7HAbsUc0zTF1LO/NNsMY6qw5bf+fyJkmSpHa6+ODy1u1PV9ZTi5bU2MATEW8Bngds\nXx1idkNE3BIR63W18mwEnAeQmafQdQhbRJwKnAo8FHggcGTVcnPPcnTcKzNfQdlK9NXMvAm4KSIO\nBZ7AgMDTp66lPWx/WHvL0TeAJEmSmqvfD9hXnwQnblVPPRqokYe0RcSbgRdTdiRwddeoQyhbXzqH\nrd0fOKp6vH7X/K8GrsnMIzPzl5m5fmZunJkPAQ4APlWFHYAvAs+O0uqULT0/H7EuSZIkSQ3UuBae\niHgA8AHgbG5vlbkhM58I/DPwuYg4A7gR2CUzb6lm3T0idqn+Pg14/pCr/BKwJeVhcH+iPBTu36pa\nngM8JzP/bpm6JEmSJDVQ4wJPZv6OAS1P1aFsOwwYtzew9xDL/5eexwm8tbr1TvtN4JvL1SVJkiSp\nmRoXeCQN4cgThptuu22mW4ckSVLDGXikNhg24Iwyn2FIkiQtAAOP1FTjhpyVLN8QJEmS5oyBR2qS\naYecUddvAJIkSS1n4JGaoO6gM0h3XYYfSZLUQgYeqW5NDTu9bP2RJEktZOCR6tSWsNOPAUiSJLWA\ngUeqS5vDTj8GIEmS1EAGHqkO8xZ2+rEXOEmS1AAGHkmzMyjoGYQkSdKUGHgk1c8LpEqatmm3rPtZ\nJTWWgUdSsy23k+JOhqR+Zn3osIfxSo1l4JHUbsPs1LjTIS2OJp0j6bXMpEYw8Eiaf6PsALlTIrVT\nk4JOP4YfLaCIuDvwbuB5wHrAScA/ZOaJXdPsDewG3BM4DtgjM8+aZB0GHknq5iF0Uvs0Pez0Mvxo\ncXwSeCSwC3Ah8DLgiIjYLDMvjIi3Aa8H/hY4hzIcHV6Nv2lSRRh4JGkUdrAgNUfbgk4/R57gZ4fm\nUkTcBXgB8JzMPK4a/C8R8RxgD+CdwBuBfTLzm9U8LwcupmwR+vKkajHwSHXYbpv5+KLWqvzVVpqN\nefn89HNC820NYHXgxp7h1wNPiYiHAPcDftAZkZlXRcQJwBMx8EhSwxl+pMmbl6ADfi5o7mXmNRHx\nY2CviDidsuXmJZRh5kzKsJPV8G4XV+MmxsAjSdNm+JFWbl7Cjp8BaqmDz4WDz1t12JXLn2XzUuBT\nwO+AP1F2WvBFYMsl5gnKIDQxBh6pLp0vvXn5EtdwOq+3Oz3ScNr4Gen/t5puV2Cz0WbZubp1O+k0\n2Kp3YJfMPAfYLiLuCtwjMy+OiC9RdlBwEWW4WZ9VW3nWA04erbqlGXikunV/Mbbxi12SpqXJn4mG\nGmlomXk9cH1E3AvYAXhLZp4TERcB2wO/AIiIewDbAB+d5PoNPFKT9PsCbfIXviRNU1M6eDHcSGOJ\niGdTtuL8GngYsC9wGvDpapIDgD0j4izgXGAf4ALgG5Osw8AjNZ0hSJJmx3AjTdI6wHuBBwCXAV8B\n9szMWwAyc9+IWAs4iPLCo8cAO07yGjxg4JHayRDUbu5QSc3i/6Q0FZl5CHDIMtMUQDHNOgw80rww\nBEnS8Aw50sIw8EjzrPcL3QAkaZEZcqSFZOCRFsmgL3uDkKR5ZciRFp6BR9LyOwQGopVzp0sazzAt\n1f5/SVqCgUfS8sbdmVjkoOQOmDQd/m9JGpGBR9L0jLpj0saA5M6XJEmNZuCR1BxNbEky0EiS1GoG\nHkntZyiRJEkDrFZ3AZIkSZI0LQYeSZIkSXPLwCNJkiRpbhl4JEmSJM0tA48kSZKkuWUvbZKkdhqm\nO3J78JMhdijEAAAgAElEQVSkhWfgkSS1wzjXW+o3jyFIkhaKgUeS1FzTuKhsZ5kGH0mTtjtwYt1F\nqJeBR5LUPNMIOt0MO5Km4aC6C1A/dlogSWoWw44kaYJs4ZEkNcc0w45BR5IWkoFHklQ/W3UkSVNi\n4JEk1cegI0maMgOPJGn2ph10wLAjSQIMPJKkWTLoSJJmzMAjSZquWYQcMOh0THp7u10ltZyBR5I0\nPbboTN6sAuSg9S3a9pbUel6HR5I0PdPcOd5uG3e+6zDrwCVJK2QLjySpPRY94Bg2JGlkBp4mG/aL\nbdF3ACTNNz/jJEkrYOCZpWn9Mufx1ZKabKnPJD+/RtO9fepo7fH1kdRCBp5pO/EU4ObZrrOpOxBL\nfTk3pUZJs+X//vh6t920ApCvkaSWM/Asgu4vwVl+cY3y5WsYkqSV6fdZOWoI8vNW0hwy8Cyazpff\ntL7UpvELY79l+qUsScvzs1KSDDwLa1KtPnX1GGSLkCRJkoZg4NHg8DAoODS9W9RR6jMcSZIkzTUD\njwZrerCZBFuKJGk+tf1w6DZ2QlHXfkObXlfVwsAjDTJqy5ckqX5L7XTX+bnelB8Rh6mjsz2aUvNy\n/L7WMgw80qj8YNUiqKt3R2klxt1Bn3SHPm0JCoO0vf6OtrfyaWIMPNKkNPX6R9Jy5mXnRqqT/0ft\nMO3eatVIBh5pWmwJUtO5g6Z5s902K3tfH3nCaJ/R/g+1l63YC8XAI82aTexqAnfUpP6GCT3+/8wX\nw89URMQ5wEZ9Rn00M98QET8Ctu0ansBBmfnaSddi4JGawNYgzYo7app3K23lWY7/Q/Nt2O/jge+D\n0ydaTsttDaze9fjRwPeAL1ePE/gEsBcQ1bDrplGIgUdqMoOQJsWdNC2SlYSepT5f/T9aXL72I8vM\nS7sfR8RzgLMz85iuwddl5iXTrsXAI7XRch+8BiJ1+CWtRTXtlh5JQ4uIOwG7AB/oGbVLRLwMuAj4\nJrBPZl4/6fUbeKR5NMp1FjS/3NnTouv3OecFp6U6PB9YB/hM17AvAL8Ffg88BtgX2BTYadIrN/BI\ni8ov/fk2qbDje0HzZtz3tD8gaMEd/B04+LurDrvy6qFnfyXwncy8qDMgM/+ja/yvIuIi4IiIeEhm\nnrOyaldl4JF0R/Yk126GHUnSEo7a9AlcsPk9RprnbpvDbv+86rCzT7qKo7f6nyXni4gNgWcCz1tm\nFSdQdl6wCWDgkVQDO1BYLL6ukqTJeCVwMfDtZaZ7LGXPbRdOugADz7Rt/Wg48ea6q5Cmx9ag+TOv\nr59XWJcWyzD/6x6qOFUREcCuwKcz89au4RsDL6EMQZcCmwP7AUdl5i8nXUfjAk9E/BvwXMoLFW2R\nmb+ohp8LXA/cQJn+3puZh0TEvYEfVMMA7gY8BFgvM6+IiPsCnwUeWs37uk53eBHxOGB/4O7ArcA/\nZuaRfWp6FPC5rnXcC1g7M9cd6knNY08xw+4wzNvz1nB6X3d3MGfL7d2f20WaX+P+fw+az/2XSXkm\n8CDgP3uG31SNeyPlvvv5wCHAe6ZRROMCD+WTfT9wbM/wW4EXZeYp3QMz8zLKJjAAIuIfgW0z84pq\n0PuAH2fmjhGxNfC1iHhwZt4CHAq8PDOPjIiHUZ4otWlm3tizjl/2rOPDVT3Da3vomdQHSZu3gcbj\nTqakedD27/F5Na3vmO7l+rqPLTO/z6oXH+0MvwB4+qzqaFzgycxj4bYmsG7B7VdhXcorgbd3PX4R\nZesOmXliRPwOeFpE/BxYt9Oik5lnRsQVwI7A1wctPCLWpGyC2264Z9SljR+Wk/4g8QNkcRh0JM2b\nNn6Pz6tZfse479J6q9VdwIg+GxE/j4h/j4g7HE4WEU+iPNzsW9XjewNrZOYfuib7LbBhdfXXCyNi\np2raxwEPBx68TA0vBH7TOdRuZG3ZCdxum+nXOot1qB6+rpLmlZ9v9ap736Hu9WssjWvhWcJTM/OC\niFid8vi+zwB/0TPNK4HPdp8Uxe3n3XR0txL9FbBvRLwd+BVwDLBcDwOvBD45dNVnvgnWWKdn4OOA\nZw+9iJmb9T+yv5y0mx/8khaNLT31aNL3zXbbwMUHl7eOSy8HrqmtJA02cuCJiLWAZwFPBh4JrEsZ\nKv4InAYcBxyRmddOsM7OsX5k5i0RcQDw65667kZ5+NrWXfNcFhG3RMR6Xa08GwHnVeNPoTyErbOM\nU4FTB9UQEQ8GtgFeMHThD9sf1t7yjsOb+EHZhA8Sw89sXodxt20T3iOS1ASGntlp6nfP+juXt25X\nnwQnblVPPRpo6MATEY8G/pFyZ//ulD2mnQ9cTtlqsimwPfAW4NqI+Crwwd5OBsZRhaw7ZeaV1aCX\nACf3TPZi4GeZeUbP8EOAPYB/qQ5buz9wVLXc9TPz4urvVwPX9OulrcurgK9l5lUrekJN0tQPEViM\nDg/q2v5Nft0lqS0MPdPn95UmYKjAExFfAv4a+F+gAI4AflX1dNY93eqUrT7PBnYCTo6IQzKzJ/4u\nua4DKQ9VWx84PCKurpZ3aESsRhmufgO8vGfWVwCf6LPIfwY+FxFnADcCu3TVvXtE7FL9fRrw/K46\ndgc2yMyiehzVOl827HNplHn4wOj3HNr4RTMPr4UkqTRvoadJPzb6fakJGeWQtq0y82dLTVAFiVOq\n2wcjYgvgbaMUlJmvGTCqz3Fhq8z3lAHD/wDsMGDc3sDeA8Yd1PM4KQ+Hm4xpf0AuyofEKM/TD21J\n0jS0JfSM81203DzTet5+b2qChgo8mfnicRZeBaShW3e0Qn44LG2p7TPpD2xfC0lSU0zzO6mz7El+\nj/odqglrUy9t6scPhcmYxOFyvhaStLia2Moz62vVTOL5N/m7tOi5V2usKPBExIbAxpTXvrnDRUEz\n89CVLF9LaPIHwrxwG0uS2qjuDnHa2BNoMaFp/3FlZWg6xgo8VdD5FLBdZ1CfyRJYfcy6JEmS2qXu\nVp6m/FA3znZoSu0rtTtwYt1FqNe4LTyfAZ4IvA84Abhy6ck1cUeeMD8fDpIkTVox4emGVXfoaYpR\ntoP7M5qycQPPE4D3Z+a7JlmMJEnS2Iox5xlnvqZpYmhoYk1aSOMGngsoLziqOtnKI0ladMUElzGJ\nZcHsW3ncF5CWtNqY830AeFVErDXJYhaKzd2SJK1M0eDlzSqEGHakZY3VwpOZB0XE6sCZEfEVyhaf\nW+44We6/0gK1DFt5JEmLqJjicie1bC8y3g5F3QVo2sbtpe1RwD8BGwBvGDBZAgaeWVi00NP58lik\n5yxJmt2OadFz30R+B0pDG/ccnk8A61B2vmcvbaOaxq89ixB6erebwUeSFkNR43pXuu5ptPL4vSeN\nZNzAswXwrsz890kWoxWax9AzzJeEwUeSVqbJ3x9FA9a/0hq6t+1Kw09TXyepwcYNPOdMtIpFMu3O\nCnqX3+YPxlG31Tw9d0lSqRjwd1uNG378TpuOou4CNAvjBp53AR+IiC9l5vmTLGhu1dUrW1tDwCS2\nV1ufuyTNWls+H4ue+1mudxrrbMt2l1pu3MCzLXAF8OuIOAI4n/69tL1xJcXNhRNPAW6uu4rbdYeA\npn7QTisc9ltuU7eBJGmwoudeGkdRdwGalXEDz+u7/v7LAdMkYOBpsjaEn2kbJlwt6raRpKYrmG3P\nbbNal6avqLsAzdK41+EZ94KlaqqmnLDaxAuyLlVTE7aZJC2youd+2uuaxXo0XUXdBWjWDC663ZEn\nNDNwNFlnm7ndJKleBbMLPWqvou4CVIehAk9ErDXuCiLibuPOq5o0pYOFtjH8SFL9Cqa/Uzvt5Ws6\niroLUF2GbeE5PyLeGREbDLvgiHhAROwN/Ha80lQrd9pXxvAjSf0VzMeOZ1F3ARpaga/Xghv2HJ7X\nUnZF/c6IOA74PnAy5fV4LgcCuBfwEGBr4JnAE4AzqnnVRk05r6ftvDCqJJWKAX8PM/2oy5+FooZ1\nanhF3QWoKYYKPJn5XxFxCPBcYFdgT+DOlD2xdQvgJuB7wE7AYZl568Sq1ewZeibH4CNpkRUTmKff\nMsZZ7iQVPffzqhhxeJ2KugtQ0wzdS1sVXL4OfD0i1gS2Ah4B3Kea5FLgdOCnmXnjpAtVjWYRehbp\n0C+7A5e0aIqGLWcaip77JiqmtMxpLHccRd0FqKnG7Zb6RuD46qZFMO3Qs902ixV6Omz1UdPZyquV\nKOouoAZFz32dNcx6fbNeb+/6pQHGvfCoFpE759PTG/bcxpqFYX9k6Ded71Etp6i7gJoVPfezWl+d\nip77Wa1PWoaBR6Mz+EyfO5iztyihc1ItqYuyvTS6ou4CGqbouZ/Gspum6Lmf1vKlIRl4ND7PRZmt\npXZU3f6TNy879LM6VHRetpdWpqi7gAYrxhw3ienrUvTcT2p50ogMPJqMSRzn35l/Ec/lUfO1pWWz\nKf8//iCyeIq6C2ixou4CpqwY8Pc480tjMPA02Sg7CXXv5Exyh6Z3WXU/tyZwh3H6hg3cTWvJaMP/\nx6Aa6952kmav6LkfNF6aoLECT0S8Ezg0M385YPyfAS/MzL1XUtxCmNQXfl0hYRY7LP3W0YadvHG4\nA1i/UXsMnOahhvP6Pu/wMM35UdRdgFqnqLsALZJxW3gK4Cygb+ABHgW8CzDwdJvlF3j3uqax01T3\nzsgw62/DzmLd21H9Taqb9Da8B5vKViFJ0oRM65C2ewE3TWnZ7bL1o2HtLeutYVF3EAY977p2Qhf1\ndWirRb02VNN5blDzFHUXIElLGzrwRMS2wNO7Br0gIjbpM+k9gb8BTllZadKUTKt1yJ2v+WPoaba2\ndCQxz4q6C5DUZBFxf+D9wI7AWsCZwCsy86SuafYGdqPMEMcBe2TmWZOsY5QWnu0oD1MDSOAF1a2f\nU4E3rKAuqV7uQEntYavP7BV1FyCp6SKiE2B+AOwA/BF4GHB51zRvA14P/C1wDvBu4PCI2CwzJ3a0\n2GojTLsvcF9gPSCA11SPu2/rAmtl5qMy059FJbWfO9DtYovc9BV1FyCpJf4ZOC8zd8vMn2bmbzPz\niMw8p2uaNwL7ZOY3q87QXg7cH3jeJAsZOvBk5vWZeWlm/hF4CPD56nH37bLMvGGSBUpS7Qw97XLk\nCQafaSnqLkBSizwHODEivhwRF0fESRGxW2dkRDwEuB9lCxAAmXkVcALwxEkWMkoLz22qhHbdJAuR\npEYz9LSPoWeyiroLkNQyGwN7AL8Gng0cCHwoIl5ajb8f5WkyF/fMd3E1bmLGvQ5PAH8HvIryydyr\nz2SZmV7YVNL8sBOD9jnyBMPqShV1FyBN147bHrrK4+8cPegU9cV29MEXcvTBF60y7Lor/7TULKsB\nP8nMvarHP6+u1bkH8Pkl5gvKIDQx4waSfYE3Az+jLPjypSeXpDlh6GkfQ8/4iroLkCavN+AsNX5e\nw89XeCHrsPFoM+0M6+686qArT/oNbPXWQXNcCJzWM+w0bu/07CLKcLM+q7byrAecPFpxSxs38Pwt\n8NXMfNEki5GkVjD0tI+hZzRF3QVIk7dc0FlunnkNP1N0HPDwnmEPB34LkJnnRMRFwPbALwAi4h7A\nNsBHJ1nIuIHnrsARkyxEklrF0NM+hp7lFXUXIE3WOCFnuWUZfIa2P3BcRLwd+DJlkNkNeHXXNAcA\ne0bEWcC5wD7ABcA3JlnIuIHnB8DjgE9MsBZJapfOzrPBpz0MPYMVdRcgTcYkQ86g5Rt6lpeZJ0bE\n84H3AXtRXmfnjZn5pa5p9o2ItYCDKC88egyw4ySvwQPjB57XUl4U6B3AQZl56QRrkqR2sbVHbVXU\nXYA0GdMOOf3WZ+hZXmZ+G/j2MtMUTPnTaKjAExFXc8feEtagbHbaJyJuAG7pGZ+Zuc7KS5SkFrC1\npz1s5SkVdRcgrcysQ06/9Rt62mHYFp6vMuHu4SRpLi21I72SMDSpHXQDWcnQI7VS3SGnl6GnHYYK\nPJm565TrkKT514Qd7GFrWIRgtMihp6i7AGl4TQs5vQw9zeeFQSVJd9QvCMxjCFrk0CM1XNODTjdD\nT7ONFXgi4uXLTJLADZTdyp2UmTeOsx5JUoPM63lKhh6pMdoUcnrtuO2hfOeMB9ddhvoYt4Xn09x+\nTk/0jOsensBVEfHezNx3zHVJkpqkOxy0PfwYdKRGaHPQ6fakLX/I8XUXoTsYN/BsAXwGuJTySqhn\nVcMfBryOsh/t1wPrA28A3hsRV2fmx1dWriSpUdrc6rPIYafA83jUCPMSdNRs4waeNwEXZ+af9ww/\nJSK+BnwHeFVm7hYRh1FeROi1gIFHkuZR24LPIoedjgJDj2pj0NEsrTbmfM8DvtFvRGYmcBjwgurx\nrZTdWm8y5rra7cRT6q5AkmanyUFiu21uv0mSFsa4LTyrAQ9fYvwjWDVM3UjZicFi6v3F0y9bSfNs\nu22a0dLjZ+3yCmzl0czZuqNZGzfwHAa8NiLOAv4jM28AiIi7AK8GXgP8V9f0T+T283y01I6AX9CS\n5kFdocfP0NEVGHokzbVxA88bgYcCHwI+EBEXVsM3AO4M/KSahohYE7gO2G9lpS6IcXYQ/IKX1ESz\nDD1+Dq5MgaFHM2Hrjuow1jk8mXkZ8GRgJ8re2n5d3T5TDXtSNQ2ZeWNm/l1mHjyZknUHTTh0RJLq\nYtiZjKLuAiRpOsZt4el0TnBodZMk6Y6m3cpj2JEkLWPcXtokSaqXYWfyiroLkKTJG6qFJyLOAW4F\nHpGZN1ePc5nZMjMfutICJUktN41WHsPO9BQYfCTNlWEPaTuKMuDc2vNYTeAXv6RF4mee1Ep2WKC6\nDBV4MnPXpR6rRn7xS5IkSQN5Dk+bGXYkSZKkJY3dS1tE3AN4LbAdsB6we2b+JCLuDewKHJaZXmx0\nWgw7kiRJM/EaDlpy/IHsPqNKNI6xAk9EPJDyPJ4HAWcCjwDuDuU1eiJid2AjqouPasIMO5KkaSnq\nLkBqjuWCTu90Z3MVx0+zII1l3Bae/wesDWwB/KG6dfs68JcrqEuDGHYkLTI/A6VWaluHBcMGHbXD\nuIHn2cD+mXlqRNynz/jfULb+aJL8opckTVNRdwGaR20KOwad+TRu4LkrcMkS49cec7kaxLAjSZI0\nFQad+TZuL22nAtsuMf55wMljLlu9DDuSJKmF2tC6Y9iZf+O28BwAfCYifgEcUg1bLSI2Ad4FPBF4\n4QTqk2FncRUTnk6SllLUXYDmjWFHTTFW4MnMz0fERsC7gfdUg78LBHAr8I7M/PpkSlxghp12KBq4\n/n7DpLocecJkl+Vno6QJMOwsjrGvw5OZ74mIz1G25GxCeXjc2cChmfmbCdW3mPwyb6ai7gJGUPTc\nS5I0Q01v3THsLJaxAw9AZp4H7D+hWgCIiH8Dnkt5HZ8tMvMX1fBNgM8A6wJXALtm5mk9874C+CTw\nvMw8rBr2P8Cdq0nuBPwZ8JjM/GVEvLta1y1AAu/PzP8aUNchwJOADYB7ZuZVk3vWXQw7zVHUXcAE\nFD330qxNsnVHUisYdtQ0Kwo8U3II8H7g2J7hBwEHZubnIuKFlOHn8Z2REbEhsBvw4+6ZMvMJXdO8\nEHhnZv6yGrRvZu5Zjbs/cFpEfD8zL+tT18eBPYCLV/LklmTYqV9RdwFTUvTcS23mYW1aQJ0Q8Z2j\nX1BzJUtrctgx6CyuoQNP1UHBKDIzNx9xHjLz2Gp90bXu+wJbAc+qpvlqRHwkIjbOzN9U034SeD2w\n3xKLf1U1XWdd3a00na60+/Zcl5k/7K1rovzyrk9RdwEzVLBYz1f1mXbLjqFnsoq6C1A//cJD97Cm\nhR/DjppqlBaeyygP++q4E+UhXr8ALp9kUX08CLgwM2/tGnYesCHlRU7fDByTmScPyiMR8UDKrrRf\n2jP8DcDrgAcAu2XmHydf/jL80p69ou4CalSw2M9f0+dhbNLYRgkNTWr1MeyoyYYOPJn59O7HEbEu\n8AfgzZ3WjxmLqo5HAjsBT1lm+l2Bb/UerpaZHwY+HBGPBr4QEd/LzGkHuNsZdmanqLuABilwe2g6\nZhl2bOVRC00jGNQdfAw7arqVnMOTy08yMecDG0TEal2tPA+ibOV5NmVLz5nV4Wb3Az4RERtkZve7\n/BXA7oNWkJmnRMTvgKcDX1uilhGf9wHA3Vcd9MjXwvo7j7YYja6ou4CGK3AbabLqaNkx9KhmTdrZ\nryP4NOn595p22Dn64As5+uCLVhl23ZV/muo6NZ4mdlpwB5l5SUScBLyM8oKnOwHnV91fH1jdAIiI\nI4H9O720VcO2B1bPzCO6lxsRm3V6eouIhwJbAKcuU86I5/D8A/AIv5Cnqai7gBYrcPtpZZpw+Fqn\nBj9nx1fgZ8GImryjv+O2h84k9DR5G8yiZWfbnTdg2503WGXY2SddxZu3+p+pr1ujaVzgiYgDgb8A\n1gcOj4irM3NT4DXApyPiHcCVlC02/fRrgXkl8Kk+w/eNiAcDfwJuBl6Xmb+u6tgd2CAzi+rxt4DN\nq+X/KiLOzMxnLPuEtn40rL3lspNpCEXdBcypAretRtOEkNNPv7oMQZqwJu/kd5t26GnLdpCggYEn\nM18zYPgZlJ0kLDf/HUJIZu4yYNrnLLGcg3oe/+Vy69aEFHUXsIAK3O5aWlNDznIMQZqgtu3kTyv0\nNH07eN6Oeo3SLXVvM8U61f3DIuKKfvNk5knjFqYFVNRdgKRVtDXkLGe552UgUh9N38mflaZvB8OO\n+hmlhedE+h8u9rE+w6KadvVxitICKeouQLcp8PVYdPMacEY1aDvMexAq8DOgj6bv4C9nkq08Td8W\nhh0NMkrgGXTOjNqgmPF8dS1XK1PgazMto4SJWe5YG3KGt6hBaIE1fQd/WJMIPU3fFoad5ouItwPv\nAQ7IzDdXw35EeZ3MjgQOyszXTnLdo1yH5zOTXLFmoJjiMkZd9qjTS2220hAx7V7HDDmTNU/nCRX4\neU3zd+7HMW7oacO2MOw0X0Q8Dng18POeUQl8AtiL23tCvm7S629cpwVagWJO16XZKvD1HVUbAkQb\napwn3du7reFnQbVhB39co4SetmwHw07zRcTdgc8Du1EGm17XZeYl06zBwNN2Rd0FaC4V+N4aZFbB\nYZI7yYaderUt/BQs7P9/W3byV2IRnqMa56PANzPzhxHRL/DsEhEvAy4Cvgnsk5nXT7IAA09bFXUX\noLlX4PusY9aBwbAzv3pfjzYEoAVgCGgnW3eaLyJeDGwBbD1gki8AvwV+DzwG2BfYFNhpknUYeNqm\nqLsALZSCxX3P1RUUDDuLZdrna42rYGH+9w070nB+f/AxXHjwsasMu/nKwafbRMQDgQOAZ2Xmzf2m\nycz/6Hr4q4i4CDgiIh6SmeesvOqSgactiroLkBbEPISEeXgOi6apwWfOGXbay9adlTn+pGfANb2X\n2FzGA14Ab+kZdsZJcPRWg+bYCrgv8NOI6HRIsDqwbUS8HlgzM3sveXMCZecFmwAGnoVS1F2AFlZR\ndwEz1ISQsNKd3SY8B63MkSc0J/QUzPVngGGnvQw7rXEE8OieYZ8GTgPe1yfsADyWsue2CydZiIGn\nyYq6C5AWwDyEhHl4Drpdk0KPJI0pM68FTu0eFhHXApdm5mkRsTHwEuDbwKXA5sB+wFGZ+ctJ1mLg\naZqi7gKkBdG0kDDODm7TnoMmx9AzVbbutJetO63X3apzE/BM4I3A3YDzgUMoL046UQaepijqLkDq\nUdRdwBQ0MSCMslPbxPo1PU0IPQVz91lg2Gkvw077ZeYzuv6+AHj6LNZr4KlTUXcBUh9F3QVMUJMD\nwqg7sk1+LpIkNZiBZ5aKuguQBijqLmBCmh4Kxv21vunPS/OtYG4+I2zdaS9bd7QSBp5p253y8klS\n0xR1FzABbQoChh2NowmHtUk1M+xopQw80qIo6i5gghYlBCzK81TzFbT+M8TWnXYy7GgSDDzSvCnq\nLmCK2hwA2ly7JNXAsKNJMfBIbVXUXcCMGBQkrZCtO9JiM/BIbVHUXcCMGXQkaWHZuqNJMvBITVXU\nXUANDDnSqprUYUFBKz+XbN1pH8OOJs3AIzVJUXcBM2bAkSRVDDqaFgOPVJei7gJqZNCRltek1p2W\nsnWnPQw7miYDjzQtRd0FNIwhR2q/Aj/bNHGGHU2bgUdaiaLuAhrOkCONx9adFbN1px0MO5oFA0+L\njfNh/p2jXzCFShZUUXcBDWTAkVbGoDMRbQo74+zwH8juU6hkdgw5mjUDT4NN4wO7e5mGnzEVdRfQ\nIAYcaXIMOxPRhrCz0h3+zvxtCj6GHNXJwNMQdXxAG37GUNRdwIwYZKTZMuxMRJPDzjR2+NsQfAw6\nagIDT42a9MHcqcXgM0BRdwFTYKiR6mXImagmfafCbHf0u9dVd/hZ1IDz3J9/D4CTzqi5EPVl4Jmx\npn0ga0EYbqTmMOi0Stt24HvrnWYAatu2mbROyFHzGXhmoE0hZ8dtD7WVp1dRdwFjMOBIzWPQmZpp\nfc/Oww79sM+hNxjNw3OfBkNOOxl4puxJW/4Q2LjuMkZi6GkpQ47UTAadqWrTj4pNZsBZmkGn3Qw8\n6svQ0xKGHKm55jHoFHUXsKpphh0DgMCgMy8MPFJbGXak5pnHkNNQhh1NiyFn/hh4NJCtPJI0JIPO\nXDDoLDaDzvwy8GhJhh7KQziKmmvoZeuO1AwGnZmzgwJNmkFn/hl4tCxDD7cHnmKJaWaps5Nl8JHq\nsYhBp6i7AMOOJseQs1gMPBqKFyatFD33deve6TL8SNO3iEGnAeyJTZNi0FlMBh6NxNaeSjHg7zr1\n7ogZgKTJWuSwU9S36mmHHVt3FoNBZ7EZeDQyW3t6FD33TWEAkiZjkYNOjWbRqmPYmX8GHYGBRyvQ\n/WVk+KGZrT7dPPxNGo1Bp1TMdnUevqZJMOiom4FHE2H46VH03DeN4UdammFn5mYddGzdmU8GHfVj\n4NHEeZ5Pl2LA301ij2/S7Qw6qyqmu3hbczRJhh0NYuDRVBh6+ih67pvGVh8tMoPOTNUddGzdmS8G\nHbFx0fIAACAASURBVC3HwKOpsXODAYqe+yYy/GiRGHb6Kya/yLqDjuaHIUejMPBo6gw+AxQ9901l\nb2+aZ4ad/orJLs6go0kx6GgcBh7NjMFngKLnvun67SAagtQ2Bp3BisktqolBx8PZ2seQo5Uy8Gjm\n7NFtgGLA322w0p1HA5NmybAzWDGZxTQx6Gg2DCdqIgOPatX7pWgAqhTLPJ43o+yAGo40LoPO1Bl0\nFovhRm1h4FGjGIAGKJZ5vEgG7bQahLQUw87yipXNbthZDIYctZGBR41mABqgGHLYIrFzBfVj0BlO\nsbLZDTvzz6CjNjPwqFU8/2cJxTKPF40BSIad4RQrm71NYccOC0Zn0NE8MPCotWz9WUbRc7/oOju/\nBp/5Z9AZTrHyRbQp7Gg0Bh2tVES8BtgDeHA16FfA3pn53Wr8msB+wN8AawKHA6/NzD9MuhYDj+aG\nAWiAoud+0W23jaFHi62ouwA1nWFHE3I+8DbgrOrxrsA3ImKLzDwNOADYEXghcBXwUeCrwFMnXYiB\nR3NrVr88tiZYFQP+XkS29swvW3eWVkxuUbbuzB+DjiYpM/+7Z9CeEbEH8ISI+B3wSuDFmXkUQES8\nAjgtIh6fmT+ZZC0GHmmF+n3pNz4EFRh6wOAzbww7gxWTXVwbw47n7yzNsKNpiojVgBcBawE/Brai\nzCE/6EyTmb+OiPOAJwIGHqnpltoZaEwYKnruF5mHubWfYadUTH8VbQw7WpphR9MSEY+iDDh3Aa4G\nnp+Zp0fEY4GbMvOqnlkuBu436ToMPNKMNS4MFRh6wNaeNlu0sFPUt2rDzvwx7GhoRxwMPzh41WHX\nXrncXKcDmwP3pDxX57MRse0S0weQ4xfZn4FHapDaDo8reu4XmcFHTVHUXcCqDDvzx7CzwA4C1h51\npp1hzZ1XHXTTSZRHp/WXmX8CflM9PCkiHg+8EfgycOeIuEdPK896lK08E2XgkRpupr3PFTRuJ6s2\nBp92mKfWnaLuAgZre9jx/J07MuyoJqtRdkH9U+BPwPbA1wAiYlNgQ8pD4CbKwCO1zNQvvlr03C86\ng09ztT3sFHUXMJy2hx3dkWFHsxAR7wG+Q9k99drALsDTgGdn5lUR8Ulgv4i4nPL8ng8Bx026hzYw\n8Eit1tkRMfjMgMFHk1LUXcDw5iHs2LqzqpmFnfcPMc3bpl6F6rU+8FlgA+BK4BeUYeeH1fg3AbcA\nX6Fs9fku8LppFGLgkebATIJP79+LqrtVwfCjYRV1FzCaeQg6uqOphp1hAs4o8xiGWi8zd1tm/I3A\nG6rbVBl4pDky1eADhp9ehh8tp6i7gNHNU9ixdWeKxgk4K1m+AUgrYOCR5tDUgw+sbEduJfM2lYe8\nqVtRdwHjmaewo1VNrHVn2kFnqfUaejQmA480x6bewcG4iiGHtZHBR0XdBYxnnsKOLTuran3YkVbI\nwCMtiJm0+qxE0XPfdgafxVTUXcDo5inogGGnl2FHMvBIC6exrT4dxYC/28rzfBZDUXcBozPozD/D\njlQy8EgLrDXhp1himjbZbhtDzzwq6i5gePMWcsCgM4hhR7qdgUcS0PBD3gpatVO5JA91my9F3QUM\nZx6DDhh2Bllx2DHkaM4YeCStorGtPgWt2bkcisGn/Yq6C1ieQUcja3LYsac2jcnAIzXQqF/mB7L7\nVOpoXKtPQSt2MkfiYW7tVNRdwGCGnMU21YuLSi3VyMATEecC1wM3AAm8FzgM+BKwWTXuD8BrM/Ps\nap5PAVsBtwI3AW/PzB92LbMAdgZuBC7JzO37rHcj4GzgF0BU635hZp5TjX8Q8FFgU+BPwMcz86OT\nffYa5UttWjv6s7bSL/Le+Se9XRoVfIqe+3lga48mYB6DjiFnNB7KJvXXyMBDGVpelJmndAZExJrA\nQZn53erx64D/ALarJvmHzPz/7d15uCRlffbx7z3DvssqoLIpIokOMgovERAUSZAECJtMIEDAZAAF\ncYmCxtASBdFEDYoOiwIujEFAJERA2URR4AIURNGEZRBlG2SXfeb3/lHVQ01P9zl9zunueqrq/lzX\nuc7pqurqp3ueqaq7n6WeyNdtAVwBrJE/fh/w58DmEbFA0tpjvPYTEbFlj3XfBU6IiAvy/a412Tdo\ng1E8GVY1/AzjhH4Ypw7l83DwGTIHn2polV2AxdUl6DjcTI1bdhJxVtkFsG5SDTzKfxaJiOeASwuL\nrgM+WFj/RGHdamStM20fAnaMiAX5tg+N89pLLpTeDjzbDjv5fuaP/TZslNony6oEn2Gf3IcVeiC7\nwEoi9ICDjzVa1cKOQ83geTa2hPgzTFaqgQfg65IE3EDWPe3hjvVHARcWF0g6EdiHLPDslS9bGVgH\n2EPSXvmmn4+Ic3u87gqSrgemA98DPhkRAWwOPCxpLvBa4G7gQ+3ubpaO1Ft9RnnCH2YITG5yg1aP\nv6vMwcfGUIWw44AzPG7RSYzDTtJSDTzbRcTvJU0HPgWcDezaXinpo8CrYfGruIg4FjhW0tuAz0r6\nC2Bpsve5bERsk4/T+amk24td5nL3AetHxMOSVgPOJWtF+vd8PzsCW0fEbyTNzte/eaw3cvv7z2Tp\nVVdYbNm6s7ZlvVnbTeTzsElKqdWnzBP/MFt7ILGubrBk4Ol8XDUOPtYh1bDjgDMaAw87vliflLmX\nwNx236M7sl+PP19acWwMyhov0iXp5cBvI2LV/PGHgH2Bt0fEk2M873bg7yLi55IeB2ZExLx83bnA\npRHxtXFeez9gVkTsnrcOHRkRO+TrVgCeIAtSC7o8d0vgpr+46bOsuuXGE37fTTbsE+aow09KFwCj\nfO/JhJ9uWmUXYIocfF7SDoOj0hrty3WTYthJ6ThXZ0Nr1alS4ElxWurC53fzIzDzMgBmRsTNJZWo\np/b1KW+6CVbuNWR9Ap68GW6cCYm+37bkWnjyILF0RDyeL/o74Of5ug8A+9ERdiQtBWxQmLFtK2At\n4K58k7nALsBXJK0ObAV8pstrrwU8GhEv5pMk7Nl+beAS4NOS1ouI+8hanG7vFnZsauYwe6gnz2HP\naJbyiX/YLT1FyXV5K2r1uSxVnsq6kRx0mmnoXdeqFHbA9+KxSUku8JCNtzlf0jSyCQTuAg6UtD5Z\n17I7gavy8T3PRsQ2ZN3Nzpa0CrAAeIpsOul2aPoocKakI8inuY6IGwEkfQL4Q0ScBmwLHC/pRbLP\n5kqyLnVExNOSDgf+J3tpHicLXzYEww49Rb1ep99gULUT/ihDT1tyXd66aXX8Tp27uTVKSmGnase8\nqvIYnYqoWmBsqOQCTz4JQK82tmk9nvMMWVjptc9HgN17rDuu8Pd3yaae7rWfy4E39lpvgzXK0NON\nT+qDl3SrT1ur43fq3NpTe6mEHR8Th2/kIccX61Pjz68ykgs8ZjZ8ZbTydEpqautuWh2/U+bWntFo\njf4lHXbqrdRWHF+sT40/v0px4DFrqFRCDyTc2gPZRW6r5DL0y609tZJC2HHQGaxkuqn5Yn1q/PlV\njgOPJa3sbm11l0LogQoEnxYOPdYoPu4ORjIBp8gX65Pnz66yHHjMLBlJd3Nr4dBjI1Nm647DzuQk\nGW46+YLdGsqBx8zMbDyt0b1UWWHHQWd8lQg1TeCpqW2CHHgsaT4Bm1mTOOyUoxFBxq07U9crZPmz\nTZ4Dj5mZ2Vhao3kZh53BaUSAsXQUg9DtwGVlFcR6ceAxa7AUJiwws3JUOeg40ExQHVsg3K3NJsCB\nx5JV5ZOxTV6yExe0yi6A1dmoW3eqcnx1sJmiOgYds0lw4LEkVeVkbGY11xr+SzjsvMQBZ4AcdswW\nceAxayh3ZzMrX9PDjgPOkDQl7Lhbm/XJgcdKk9qJ18yszlI55jrkDFFTgo7ZBDnw2NCkcnK1JaXe\nupPsOJ6qaMpNR3fcerj7bw1396Ns3UnheOygYwPn1h3rkwOPDUwKJ1Qzs4FoDXf3Djs2cG7dMetp\nWtkFsHpI4YRq9VLWPUkqz607U9ca3q6hWWFnt1t+4LAzCk0MO27dsQlwC8+Q7c35bMIqyXchmoqy\nT6g2MXWui43XlLBTYU0JOw45I+SwYzYuB54R6XXi8cWnjUoV65rH8kxAk8JORVt3mhB2HHRsMcVg\nMohg5qBjk+TAU7LxTkpVvEi1dLj+DFAL33w0BQ47Y3KrTsOk1LozXhhxWLESOfAkrnjySvHi1d3Z\n0pNiPZkKt/L0oUmtO8PSGt6uHXZsKMoOOw4wViGetKBCDuPURT9m3dQt7LR5AoMxNCnsDKt1pzWc\n3YLDjtWUw45VjAOPWU3UNey0OfR04bCTNIcdG5oyW3ccdqyCHHjMaqDuYafNoccGrjWc3dY97Hi6\naTPrh6TtJF0k6Q+SFkrarWP9mfny4s/3B10OB56Kcrc2ayqHngaqWFe2JoQdK1HZY3fKfn2rmhWB\nXwDvAaLHNpcA6wAvz39mDboQnrTAzCqntIkMWnimtlFz2FmCu7CZWVVExKXApQCS1GOz5yJi/jDL\n4cBjk+ZWpnQcxqk9u7VN5N+pSl3j2heWjZ3BrQnjdxx2luCwY0lot/J4PI8Nxg6SHgQeBa4E/iUi\nHhnkCzjwVFCVLkptdAZxIdS5jyrUtcYGnx23rnfocdhZgsOOJeckHHpsqi4BzgfuBjYBTgS+L2mb\niOjVBW7CHHgqpAoXn1Yvqd8Hqsj366kRh53FOOhY0tza0xwPzs1+il58fEq7jIhzCw9/JemXwJ3A\nDsBVU9p5gQNPRaR+sWn1V4Xw09jWnjpx2FmMw45Vhlt7quXGXwIvTPBJGwMf61j2G+CagRQJICLu\nlvQw8GoGGHg8S1vi5jA72YtLa67Ux295JreKcthZjMOOVc5JeBY3mxJJrwDWAO4f5H7dwpMgBxyr\ngvbFWKr11V3cKsZhZzEOO1Zp7uZmOUkrkrXWtGdo21jSDOCR/Oc4sjE8D+TbnQT8L3DZIMvhwJOA\nVC8YzfqRcvAZSuhp4ampB81hZzG+v47Vhru5GbyJrGta5D//kS8/GzgCeANwILAacB9Z0PnXiJho\nf7sxOfCMSIoXg1ORepcmG72xpsYuk1t6Euews4hbdayWHHoaLSJ+xNhDaP5qFOVw4Bmy89iLVdm4\n7GKYmaXHYWcRhx3rS1XHx7iLm5XMgcfMpizFlh2zQalrFzZw2LERc/CxkniWNjObtKrMIuhZ2xJU\nkdYdhx1LRlVbd7rxbG42Ym7hMWuQKoQT69NV15ddgslz2AEcdswWCz1u9bEhcuApQa+TXFUuRj1h\nQXVVve4lo0X5M7XtuHW1Q4+Z9a8JrSEOPzZEDjwjNF5Q6Fzvi1AbFQchGxm37gD+4shsTA4/NmAO\nPCMw2RNbyvc3sWaoUx2s5fTUbuXJtAa7u7qP+XJ3tj6N1aoyyovwIbbuXDt3Ytu/ZdZwyjGmbu/f\nIcgmyIFnyPbmfGCVKe0j1fub1FG/FwIXzdh5yCVJSzG0uy6aTY1bdxLWb7gY1UX4gMPORANOP89P\nJgSBg5D15MBTEXX6pj01k/m2s9tzmhKCHMATU6VWnmF1ZxugurfuWBeDChUJ32BzqkGnn32XEnw6\nuTXIenDgqRhfbA7GMLp07HbLDxx6rBxVCj2D1iq7ANXi7mwFqU8EMIDyDTPo9HqtJIJPUT+fo0NR\n7fk+PBV0GKe6S8QUDPOEv9stP2jMBUXj62Cr7AJ0qEDrSercutMQw7wHzCBbi6bg2rmjDTupvPak\nndTxY7XjFp4Kcze3iRllEGm/1qhafCb63gZVLrf0JKZpLT2tsgswcY3/oqBMo7qQLbFrW0pBI9kW\nn34k3D3RJseBpwZGOaDcJ+uJGWY3t6kEuEGOQWp06Gl1/E5Bu6UnteDjFigrS9W+sa9aecdx7VyH\nHiufu7TVTLu7m4PJksoaXzPIbm7tfQ1rDNJk99/4OtcquwBd7Li1Q0aCyv5yoCnjDIFyuydN9nWn\nUN6UWnc6pVy2MdUsfDaZW3hqbNA3Mm30Be0ATKWbWxnjgiZT3kZ3s2x1/E5Fqi0+DTaH2T6eDlMq\nF6kTbSGoadhpq2xLj9WCA0+D9DrBjnVx6pPy4E2km1sKEyAUy9BvuR18uvxdtjKDj1uallBm6Llo\nxs5JHFsGLpWgUzRe6KnYTGxTVcnQ465tteDAY40KNamc6Ks6hfVEy53a+J5dtr+AS67Zc3Qv2Opz\n2SiNOvg47PTklp4BSjHstHW7YE65vENW2dADDj4V5jE81jipBI3xglcKwaybiY7x8QVdh1bHT1mG\nPcangmOIRhqGc2V9IZDKcXAgqhAehjTtcZVad4qqWm5PW11dDjzWSKmc7FMNNf2oauhJ7l4rLcoN\nQO1gMshwUrGgU7Y5zE6qJbRSGnzxWdnQkKt0+X3Pnspx4LHGSjn0VCUIOfQMQYvyAtBUw08FW3U6\nldHK0zbq0JPKMXBSfLFZC5UOPW0OP5WgiCi7DLUkaUvgps/d9P/YZMtVyi6OjaEq4SJlE7lwSu2b\n7DIvcCekVXYBCjrH/5QVclrD2W3ZgXiUXw5U8vjnC8t6BIWCyo3pGcPNj8DMywCYGRE3l1ycJbSv\nT+EsYLMB7PE3wMGQ6PttcwuPNd5FM3au9jedCahqSw9kF7dlX+D2pUX5437aii1BFW/R6eaSa/Zs\nTEtP5Y59Dju1VLcAZ+lx4DHLVe7EbwPVDj6VCj82VE0JPZXhsAPUNxzU9X1ZGhx4zAoceiavyq08\nnYrhJ+kQ1MLBZ8iaEHqSP+55fERjOPTYsDjwmHVwF7fJq+R4gD4lHX5aNDP4tEbzMmV2cWt8S4+D\nzmKaEAia8B5t9Bx4zGyg+g09qbfyjCXZ8NMquwD1VufQk+SXPA47jeXQY4PmwNMAE71RpGWSvACo\niCbVt+TCT4tmBZ/WaF+urNaexrX0OOw0nkOPDdJSZRfAhqt44dnvReggL/RHdeHrcFJNh3FqrS7k\n2qEniamuWzQr+IxY+984maA7ABfN2DmNLyscdix37dx6TVlt5XHgsSV0nvDGChNJnBzpXQ4HofLs\ndssP/PmXrUUzQk+L0t7nKIPPHGZXuitoXxx2rINDjw2CA4+NK5VQMxndyl6FAFcX/YSeurXyJKeF\nQ88IjCr4DDv0lNrK47BjZkPiwFNzyXRRSIg/j/Q49NhAtDp+l2AUwaeWLT0lhR23Hpg1gyctaAB3\nK7IyNWHWtuS1yi7AiLXKLsDwx3HV6guCEYeda+e+9FN8XAVNDWdV+fexdDnwNIRDj1VBHUJPEhMW\nWDKhZ5j1oRahp4SwM5l1ZlZt7tLWIJ2hx127bFQ8gYGVotXj7xqpZfe2IXrLrN7BpiqtJ+1yNiWg\nVeXfxdLmwNNgDkCWIo/nGYJW2QVIQKvj9whdcs2etZq+emBKGrfTLTBU8aK6WOY6hp8q/ptYutyl\nzRa5aMbOi/2YlcXfWNvQtCgt9AyLvyCYnPYFdR0urN8yqx7vA+r1XiwdbuGxntwCZIPkbm0laZVd\ngES1evxtjVK3C+t+3k+7NWiy730YrUl1+3ew9DjwWN+6Xaw6BJlZ5bWofOgZ5Fiekd3O4CP43jsl\nmGq4cDixKnLgsSnp9Y19E4JQnd/73Etg1i5ll8JsEh6cC+tM4oqs1fG7giobesDBJzd3HszasORC\nmNWQx/DYUNR5PNB476kO733upWWXwAaiVXYBSvDgFPvbtAZSitIMcjzPSI9fHxl/kyaY+7uyS2A2\neJLeI+luSc9Iuk7Sm0ddBrfwAJJeDZwNrAk8BhwcEbd32e5QssOygCuBIyJiwSjLWlVVbw2Zyonf\nY6Emx7O1WWlaVDr4VLKlB9zaY9XUGdZvBy4royBpkvQu4D+AfwJuAN4PXCZp04h4eFTlcODJnArM\niYhvSNqLLPxsVdxA0obA8cAWETFf0vfI/vG+MtaO38opbMmWQyl0LcwouwD92W2QO6vCe15lN5hx\n0cB3O9HPcaCf+6hsX3YBCq4suwCjt9tucNHgq+6AjPKmtAN8rVEfs84Z8eulZLfd4JxkK7D1Y8HN\nwMyyS5GS9wOnRsTXASQdBuwKHAJ8ZlSFaHyXNklrkdXMbwFExPnAKyVt3LHp3sD3ImJ+/ngO4KF7\nZmZmZmYdJC1Ndo19RXtZRARwObDNKMviFh54JXB/RCwsLPsd8CrgrsKyVwH3FB7Py5f1shzA7bcv\n0TPOLHmPP/44N998c9nFMJsw112rMtff6itc9y1XZjnGN28U+1kTmA482LH8QeC1AypAXxx4utMA\nttkQ4IADDphyYczKMHOmm+Stmlx3rcpcf2tjQ+CnZReii4eBp6G1wgD3+Vy+334JiAG+/rgceOBe\nYF1J0wqtPK8ka+Up+h1Q7Oa2QZdtii4D9ieLvs8OpqhmZmZmlrDlyMJOklMXRMTvJL2OrPVlUB6O\niG7XxA8DC4B1OpavzZKtPkOlrCtds0m6Ejg7Is6WtDfw4YjonLRgI+DHwJbAfOBC4LKI+PLIC2xm\nZmZmljhJ1wHXR8T78sciazA4OSI+O7JyOPCApE2Bs4A1gMfJpqX+taTTySYquDjf7lDgWLJmuKuA\nwz0ttZmZmZnZkiTtSzb78WxempZ6b2CzwkRgwy+HA4+ZmZmZmQ2DpCOAD5N1bfsFcGRE3DjSMjjw\nmJmZmZlZXTX+PjxmZmZmZlZfDjxmZmZmZlZbnpa6giQp3BfRKkTS0hHxQtnlMJsM11+rqnzm2aeB\n30XEbWWXx6wsbuGpCEmflrQ7QEREPq2fWfIkzQVOkLR82WUxmyjXX6sqSXOAI4C9gO9LmlFykcxK\n4xaeCpB0NrAz8Jf5DVK/2w49bumxlEk6EZhJdv+qpyWdGBG+Ea9VguuvVZWkU4A1I+JtkqYBXyC7\njrjF1w7WRA48iZO0Pllz9DuB1wPHSSIivguI7J5AZsmRtBTZTXq3A1YFLgamSToBeN73sLKU5fX3\nYVx/rWIkrQg8B3wcICIWSnoQeEP+2NcN1jielroCJK0FPAIsD+wPHA58KiK+k69fIyL+WGIRzbrK\nLxqXjYg/SXoD8B3gvIj4WL7+1RFxR6mFNOvQ/gZc0jJk9fdJ11+rEkmrAAuAZ/LAsw+wS0Qckq/f\nKCLuLrWQZiPkFp5ESdoO+B3ZweqhfPFTks4BpgMflvQcsAdwNfD1Ugpq1kHSZ4ELgOsi4kXgRUlL\nRcStkmYBX5f0AvAO4DfAoSUW12wxkv4ZWFHSLyLiQuB511+rgnyc7yPA4xFxa76sPd53GbJrByRd\nDPwf2R3vzRrBLTwJykPNq4CngOeBL0fEpfm69jeP7wZOA86PiH3KK63ZSyS9Gbge+CHw0Yi4qbBu\nqYh4UdLmwG3ANyLioJKKaraEfJD3q4CrgI8Br4+Ie/OLxqUi4gXXX0uRpNOAVwP3ARsD74mInxfW\n/w1wCPAE8GxEzC6loGYl8SxtiZF0ELBGRGxL9u3L/wCn5QerYt/bw4FvtsNOPijRrGx3AN8Afg+c\nlXcDQtKaeWsPZPX6vPbFouuupUDS3wPrR8Q7I+KzwIXAKyRtH5kX8uDj+mtJkfRlsuuGtwH/TBbI\n35ivm17YdHfg/nbYcd21JnFlT89qZANliYjbI+JU4HjgM5K2gmzMDvCjiDgwfzwtIhaWVWAzWHTy\nfAFYEXgP2SDvMySdB8zKt1kWuDIi9m0/x3XXErEyWf1F0oeAXYF3ARdLanf9WQbXX0uIpNXIeoN8\nBCAi7gceArbOH7cn1/hf4PSIOCZ/nuuuNYq7tCVG0muAk4HPR8QP8mUrAC3ggYj4XMf2PmhZUiR9\nHvhqRNwm6RZgU2DHiLiuYzvXXUtGPjnMr4GfADsAb8i7s70N+C7wxoi4q7C9668lQdLawGPAgohY\nIOkIsvp7WL5+s4j4TWF7111rHE9akJ4/Ar8EdpX0bERcExFPS7oT2KJzYx+0LBWFk+jjwI6S3kXW\nWnk18G1JOxVntHLdtVTkYyPnS9oI+DOyQd/35qt/RBaCnis+x/XXUtGe2KgwQcECsvG/SDqfLMh/\nvLC96641jru0JaBwkCIiHgHOJAuj75L0nnzVLmSzr5glo1h3eemeUJcCRwPbRcTbI+J9wMc9fa+l\nqnAj56eAW4H1JR2Tr/4m8GBE/KG8EpqNrzDG9zFgtfym5Y9FxMfHeJpZI7hLW6Lyrm3bA0eQ9cd9\nPCL2y9f5LslWqrG6REhaD9gbOKXz5ozuSmEpyG/o/FBEvNCxfBrZDZ33Af4V+ANwX2GCAh97rVS9\n6m6+rj2L6z8AXwU+4zE7ZhkHnpJI+neyJucVgY/l3yy2vzFX+8AkaWlgzXwgog9aVjpJp5C1QK4B\nfAr4bd7tUsC0YshpT0VdUlHNliDpDGB9YCXgbyPi4cK6aYVj70pkM1/d07nOrAwTqLtbAgdHxFGd\n68yayl3aSpAftF5H1jf8z4DvSdpG0vR8+tP2QWv1iHihEHbkg5aVKb9PyTpkk2g8BXwLOEDSqnnd\nXZBv91oAhx1LSV5/VwH+BniRrCVnkcKxd7OIeKoQdnzstVJNoO5uGhE3O+yYLc6BZ8QkrU72Dc3B\nEXFZROxENqDwo8Br8m0kqUXHJAXuSmFlkrQuWd3dPyLuj4iDgWeAvwZ2zLdR3p1iu9IKataFpFcA\n6wGz8yB+MzBT0jmS/jJv0SGvv9sWn+tjr5VpgnX3rcXnOuyYZRx4Rm8psvs9vKa9ICKOBB4FvpQ/\nDuCHEXFlKSU0624lYEtgE1g0je/tZJNpHAWL6u5VEXFGWYU062FZYCOyyWBOAv4WOItsJsH3ktdr\nsnucuf5aSiZSd08vpYRmiXPgGRFJy8Gi6SMvB74paZPCJgcBy0qamW93bf48de7LbJQkfVzSyhHx\nf8DXgRsknUA2G9vleUvPCpI2B4iIefnzXHetdIX6eycwB9iYbEKYQyPiJ3nXnwVk996hfa8d118r\nm+uu2eD4PjwjIOnLwCqSXhERO0RES9LKwFxJ+0bEvHxmlSWe664UViZJ/wkcCawAHBsRx0r6hK84\nwwAAEHVJREFUObAQ+GlEXCxpGbJpUJ8pPtd118rWpf6eks/E9iUWv6/ONLL7Ry3i+mtlct01Gyy3\n8AyZpDOBlwOfyB5qj3zVMcA1ZN+WHyPpcmBeRNxUUlHNFiPpS2T9xg8F1stnDCQizo2I8yLi4nzT\nC4A/RMTdJRXVbAkd9XfdQv1dCNwBXC3pEEkXA/Mj4qzSCmtW4LprNnielnqIJM0AToiIXfPHpwMP\nAKsDn4yI+yXtRzY19WoR8R/5dp5VxUol6TRgnYjYXdLywF1kNw89o7DN8sAHgFdFxOx8me9TYqXr\ns/4eTfZl1NMRcXy+zMdeK5XrrtlwOPAMkaTXA9cCewFbkY3T+QSwL7ApsEVEPNfxHB+0rHSSdoyI\nqwqPZ/PSjXCfaIcaSa+MiHvzv113LQnj1N+nouOGuPk2rr9WOtdds+Fwl7YhiohfAieSNUvPAv4q\nIr4VEbsD84E9ujzHBy0rXfuEK2l6vug2shnaNsrHm03Pt2uHHd+nxJIxTv1dUFhefI7rr5XOddds\nOBx4hiwiTgQOA+4jm4667VngyVIKZdan9reJ+ayBlwOfkLRs57eM7sZmKeq3/pqlxnXXbLAceIao\n8C34Y8AVwMmSdpX0HeCeiPh+qQU06yGfDajTfwFrAq8YcXHMJsT116rKdddsOBx4hiTvU7sg/3sm\n8EPgamB/4O6I+Mf2dqUV0qyLYn9wSe+QtGa+6gbgO/k9IcyS5PprVeW6azY8nrRgyCR9BViqEHCW\niYjn87890NCSld8/amXgQFi825pnY7PUuf5aVbnumg2ebzw6RJLeRTYF9d/nj1UIOx7kbcmStDOw\nKnBQPknBYnfF9QnXUub6a1Xlums2HG7hGSJJGwD3RsRCSdM92NCqQtJawMPtGdlcd61KXH+tqlx3\nzYbDgWcE3ARtVeW6a1Xm+mtV5bprNlgeMD8JkmZL2rTf7X3QslRIOlvSfv1u77prKXH9tapy3TUr\nlwPPBEn6BrAT8EjH8un57+XKKJfZeCSdDOwK7CBpuc6+4ZJWkeRxfZYk11+rKtdds/I58EyApKOB\ntSJin4h4OD9wrQrZTcIkbQh8TtLL8u3Ve29moyPpFGANYD9ga+CVxQGxktYDPgm8Pn/sY4Mlw/XX\nqsp11ywN/o81Mc8D5wFI+hBwNvATSf+Sr/898Gayg5ebpC0Jkj4MbBwR+0fE5cCvgJakpQp19AFg\nXeBoAM8gaKlw/bWqct01S4cDz8SsDewiaWvgHcCngKOAIyUdGREvAnsBT0paqcRymhV9OyJ2gUXf\nHn4LWIls6lMkLZ2fZA8Bnpf0MrdOWkJcf62qXHfNEuFZ2saR9739aUR8W9JqwLeB5YETI+LSfJuD\nyL7FOU7SMmQ3Gn26vFKbgaQvAj+OiHPzx9PzrpfLkd25+5KI+EjHuqXy4G5WKtdfqyrXXbP0uIVn\nDHnf278H3pAv+hPwRbLm5/cWNt0TeA4gIp532LGyFeruFvnjaflJdVpEPEvWfWJzSa+EbAxa/tsn\nXCud669VleuuWZoceHqQ9GVgReAA4ABJm0bEC8AVwLuBVSX9t6SLyW4SdkKJxTVbpFB39+elursQ\nFusffi8wE9ionFKadef6a1XlumuWLndp6yKfkGCHiPjr/PHXgEeBYyPi+cJ225HNTfCT/PE0Dzi0\nMvWou48Ax3R+gyjprRHxoxKKadaV669VleuuWdrcwtMhH1h4WeGgtRRwDTADaE8juTRARPzYYcdS\nMUbd3YL8/7pyAO0TrqdBtRS4/lpVue6apc8tPGNoDybM//458P2I+FjJxTIbl+uuVZnrr1WV665Z\nmvztQq7bVJD5QMPp+cMTgFdJWn60JTMbm+uuVZnrr1WV665ZdTjwkDU/97pJaPubGuA2sjslzxxZ\nwczG4bprVeb6a1XlumtWLY3v0ibpdOCBiPh4H9tuFxE/HkGxzMblumtV5vprVeW6a1Y9jQ48ks4C\nVgYOjognO9b1nITAExRY2Vx3rcpcf62qXHfNqmmpsgtQFkmvBdaNiL/MH28PrA7cDcyLiMfz5e8G\nro6IO9rP9UHLyuS6a1Xm+mtV5bprVl2NDTxk99V5Pp9i+giyG4zeAWwInC3pNLIbgy0sHrTMEuC6\na1Xm+mtV5bprVlFNDjzTgXWA9wGrArtGxEOS/gH4IHBuRNwJ3AnZbCy9BiiajZjrrlWZ669Vleuu\nWUU1apY2STtJ2k7S2hFxP3Ai8Clge+ApgIg4E7gHWKX4XB+0rEyuu1Zlrr9WVa67ZvXQmEkLJH0F\neB3wR2AzYKeIuF/SPsBcsm9srgc+BDwfEQeWVlizAtddqzLXX6sq112z+mhE4JE0B1g9IvaVtBJw\nGtmAwtPy9TsC+wPPkx20js6XuznaSuW6a1Xm+mtV5bprVi+1H8MjaW1gWbJvYIiIpyQ9BLwmXz8t\nIq6S9LOIeLbwPE8haaVy3bUqc/21qnLdNauf2o/hiYiHgA8D8yW1A95vyN97RCyUtFrHQUs+aFnZ\nXHetylx/rapcd83qp/aBByAi5kfEMxHxYr5oObJvb5B0CfD+ju3dHG1JcN21KnP9tapy3TWrl0aM\n4ekk6UBgW7LAtyAiZpdcJLO+uO5albn+WlW57ppVWyNaeNokqfDw3cAf2wctSY36LKxaXHetylx/\nrapcd83qoVH/WQtNzvOAb0fER8ADDS19rrtWZa6/VlWuu2b10MgubUU+aFlVue5albn+WlW57ppV\nT+MDj5mZmZmZ1VejurSZmZmZmVmzOPCYmZmZmVltOfCYmZmZmVltOfCYmZmZmVltOfCYmZmZmVlt\nOfCYmZmZmVltOfCYmZmZmVltOfCYmZVIUkvSyG5iKGmhpH8d1eulSNIG+edw4Ihe7yxJd4/itczM\nbEkOPGZmXUg6KL8o3nIA+1pe0nGStu+yOoCFHdsfK2n3qb5uWdohTtLqZZdlDIvddVvSLpKOG+Jr\n+S7fZmYlceAxM+ttUBepKwDHATt0Wfdv+fqijwKVDTwkfoEfEfcAywPfKCx+J9Doli8zs7paquwC\nmJk1gHqtiIiFwPMjLIsBEdH5mff8NzIzs2pzC4+Z2SRJWlrS8ZJulPSYpKckXSNph8I2GwAPkbV4\ntLt6LRpH0zmGJ/97BeDgwrZfy9d1HQvSbRyQpGUkfV7SQ5KekHShpPV7vI/1JH1N0gOSnpV0m6RD\npv4JjU3SRpK+I+mPkv4k6WeS3tmxzVvzz2AfSR+TdK+kZyRdLmmTLvt8j6Q7JT0t6TpJ20q6WtKV\nhW0WG8Mj6UzgiPzv9me+IH+8Q/54+47X6ToOSNIe+ef3jKRbJe3R471L0tGFbR+QNEfSapP8OM3M\nrAe38JiZTd4qwCHAXOA0YGXgUOBSSVtFxK3AfOAwYA5wQf4DcGv+u7P71wHAV4Hr830C3NljW8ZY\n/lXg74BvAT8D3gb8T+d2ktbOX2sBcDLwMLALcIaklSLi5PE+hMnIX/dnwHLAfwKPAAcB/y1pz4j4\nXsdTjsnL+FlgVeAjwDeBbQr7PBz4IvAj4HPAhsCFwKPAvWMUZw6wHrATsD+Lt/b03T1P0s7AecBt\neXnXAM4Eft9l89OAA4Gvkb3/jYAjgS0kvSUiFvTzmmZmNj4HHjOzyXsE2DAiXmwvkHQ68Fuyi9d/\njIinJZ1PdlF9a0ScM9YOI+IcSacCd423bS+S3kB24f6liDgqX/wVSd8EXt+x+QlkF/hbRMRj+bLT\nJJ1D1iJ1akQ8N5lyjONYYC1g24j4WV7uM8iC4OeAzsCzLDCjHQQkPQZ8QdLmEfFrSUsDx5OFt7fn\nXQWRdCtwNmMEnoi4XtL/AjtFxNwpvKeTgAfy9/RU/vo/An4IzGtvJGlbsmA8KyL+q7D8KuAyYB/g\n21Moh5mZFbhLm5nZJEXmRVjURellwDLAjcCUZ3ebgneStUp8sWP5F1hyrMqewH8D0yWt0f4BfkDW\nkjKs97ELcEM77ABExJ/IWj42lLR5x/Zf62j1+DHZe9k4f/wmshaV09thJ3cOWQvPUEl6OTADOKsd\ndgAi4grg1x2b7w08BlzR8Zn/HHgK2HHY5TUzaxK38JiZTYGkg4APAJsBSxdW3VVOiQDYgGyq6zs7\nlv+2+EDSWsBqwD8Bs7vsJ4C1h1FAsjJe12X57YX1xaDQ2ULTDjEvK2wfdLzniFggad6UStqfDfLf\nd3RZ91vgjYXHryH73B/qsu0wP3Mzs0Zy4DEzmyRJB5CN0bgA+AzZBewCsmmlNx7jqZPVayzJ9M6i\n9bm/div/N8m6fXVza4/lo9ZrTMuwZ1eb6GfebfvOMk4DHiQbY9Wt/PP7Lp2ZmY3LgcfMbPL2Au6M\niL2LCyUd37HdRO9J02v7R8laBjpt2PF4HtlF9SbA/xWWb9ax3XzgSWB6RFzJaN0DvLbL8tcV1k90\nfwJeTTZpAQCSppN9PreM8/yxPnOx5Oe+YcfjefnvTbvso3PZncDbgZ8OaXyUmZkVeAyPmdnkLWDJ\nWc+2pjBzWO7p/He/Uw7/qce2dwKrSvrzwuutC3ROfXwJ2UX6UR3Ljy6WNx/rcj6wl6Q/63wxSWv2\nWd7J+D6wVf55tV9vRbLudXdHROe4l/HcCPwR+EdJxXPbAbzU7W0sf8rLsErH8nvI/p2371h+BIt/\nlg8AvwAOkrRye7mkdwCd45HOJfvCcYkbnUqaLmnVPsprZmZ9cguPmVlvAg6VtEuXdV8ALgb2lHQh\n2ZTPG5ONhfkVsFJ7w4h4VtKvgXfls4E9CtwWEb/q8bo3ATtJej9wH1kAuIFs+uuTgAslnQysSDbl\n9W8pTC4QEbdImgsckd/X5adkLQqbsGQXqmOAHYDr8xnmfg2sDswkm8p6UeiRdDWwfUT082WZgA9K\nerpj+cKIOBH4NDCLbArvk8lmvDuYbCzMnn3sfzER8YKkFtnU2ldJOpesFeZgsnE147Wy3ZSX+YuS\nLgMWRMR/RcQTkr4DHCUJstD5NxQ+l4JjyerEtcrunbQG8F6yaaqL9eGafCa+YyRtQTZBxAtkLUF7\nkwXVCzAzs4Fw4DEz6y3IAkU3Z0bEWZLWIQs5O5OFhf2BfVmyReBQslnTPk82k9snyIJR+3WKPgCc\nCvwbsDzZ+JobIuLR/EaWnyMLPneTBZZNWXI2tX8gG1O0P7A7cAWwK9ng/2LLxEOStiJrbfhb4HCy\nlpJfAR/u2OeKZAGsH5GXrdOLwIn5626Tv4/3kt2P51bgryPi0i776vUaLz2IOCUPJR8ku1/PLWTh\n5IvAs+Ps8wKysLQfL92Lpz1l9JFk58vZwHP58g+SBZni618maR/gk2TTfd9JFrj2oKM+RMThkm7M\n9/kpss9lHvB14Noe79fMzCZBERPtWm5mZk0jaSWyVpijImJO2eXpl7IENB84PyK6zURnZmY15zE8\nZmbWj+2B3wNnlF2QXiQt02XxQWRd9K4acXHMzCwRbuExM7NakPRWsu5+55F1y5sJHELWPe9N7ZvE\nmplZs3gMj5mZ1cU8sjFKR5K16jwCnAUc67BjZtZcbuExMzMzM7Pa8hgeMzMzMzOrLQceMzMzMzOr\nLQceMzMzMzOrLQceMzMzMzOrLQceMzMzMzOrLQceMzMzMzOrLQceMzMzMzOrLQceMzMzMzOrrf8P\nI73ylweq7hIAAAAASUVORK5CYII=\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "%matplotlib inline\n",
+ "\n",
+ "from __future__ import (absolute_import, division, print_function, unicode_literals)\n",
+ "\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "from matplotlib.cm import get_cmap\n",
+ "import cartopy.crs as crs\n",
+ "from cartopy.feature import NaturalEarthFeature\n",
+ "from Nio import open_file\n",
+ "\n",
+ "from wrf import to_np, getvar, CoordPair, vertcross\n",
+ "\n",
+ "# Open the output NetCDF file with PyNIO\n",
+ "filename = \"/Users/ladwig/Documents/wrf_files/wrfout_d01_2016-10-07_00_00_00\"\n",
+ "pynio_filename = filename + \".nc\"\n",
+ "ncfile = open_file(pynio_filename)\n",
+ "\n",
+ "# Extract pressure and model height\n",
+ "z = getvar(ncfile, \"z\")\n",
+ "wspd = getvar(ncfile, \"uvmet_wspd_wdir\", units=\"kt\")[0,:]\n",
+ "\n",
+ "start_point = CoordPair(lat=26.76, lon=-80.0)\n",
+ "end_point = CoordPair(lat=26.76, lon=-77.8)\n",
+ "\n",
+ "# Compute the vertical cross-section interpolation. Also, include the lat/lon points along the cross-section.\n",
+ "wspd_cross = vertcross(wspd, z, wrfin=ncfile, start_point=start_point, end_point=end_point, latlon=True, meta=True)\n",
+ "\n",
+ "# Create the figure\n",
+ "fig = plt.figure(figsize=(10,5))\n",
+ "ax = plt.axes([0.1,0.1,0.8,0.8])\n",
+ "\n",
+ "# Make the contour plot\n",
+ "wspd_contours = ax.contourf(to_np(wspd_cross))\n",
+ "# Add the color bar\n",
+ "plt.colorbar(wspd_contours, ax=ax)\n",
+ "\n",
+ "# Set the x-ticks to use latitude and longitude labels.\n",
+ "coord_pairs = to_np(wspd_cross.coords[\"xy_loc\"])\n",
+ "x_ticks = np.arange(coord_pairs.shape[0])\n",
+ "x_labels = [pair.latlon_str(fmt=\"{:.2f}, {:.2f}\") for pair in to_np(coord_pairs)]\n",
+ "ax.set_xticks(x_ticks[::20])\n",
+ "ax.set_xticklabels(x_labels[::20], rotation=45, fontsize=8) \n",
+ "\n",
+ "# Set the y-ticks to be height.\n",
+ "vert_vals = to_np(wspd_cross.coords[\"vertical\"])\n",
+ "v_ticks = np.arange(vert_vals.shape[0])\n",
+ "ax.set_yticks(v_ticks[::20])\n",
+ "ax.set_yticklabels(vert_vals[::20], fontsize=8) \n",
+ "\n",
+ "# Set the x-axis and y-axis labels\n",
+ "ax.set_xlabel(\"Latitude, Longitude\", fontsize=12)\n",
+ "ax.set_ylabel(\"Height (m)\", fontsize=12)\n",
+ "\n",
+ "plt.title(\"Vertical Cross Section of Wind Speed (kt)\")\n",
+ "\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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oT3EtDSeBB4UQflJK24D351BdifY0KmnDnKAOhQ9wKgprV3c3lFuIbcijy0KIaFSXexfg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Cw8O5d+8eNWrUKNM57Ny5kwkTJtC+fXvUajU9e/bk2LFjpv1///03EydOZNKkSbi5uTFhwgQW\nLzb/ritWrPjEyGZBPGmJpGeilrqtsKYraQvKebYGIEsTiUHQFqnfboRMJsPPswV+CRDvk+9ej7my\nGFEUeK6xVKfYSVUOQZ9FQPVRBNZ8hdy0cC7+2gZEAcEguY+zNr/DTYC/wW/BdRS+wXZZEio1mk7M\nlUXcOfs+VVt+UarzNkIrZqFEhVyW/5UbFxpHkU5Xeb72YrbwAHd5IBnCXao69TZr56Oowdu+uUTr\nDnEzbyfXtVu4lLuShqoJpvrrjkLhGu3Gzx06dKB8+fIkJiaybt06UzxmafvW6XSUK1d6duzp6cnW\nrVtNFk+DwYCXl5cpq/KPP/4wxXEePnzYFIcDMGrUKARBwNvbm6FDh3Lw4MFiY4lc5J6M8DrObe0e\nDmWPo7PbV6QKtyinqI+7PNDiMX6K2kzzE8kwxLAhvQF5YjrbM6QY437qn6np8iIAGUI0zpTtIf+s\nkk2A3L+PkLZyiemzx4DBuLaxbJ0vjBZVH3KvgLfMvU2qmavbEjE07ktbs4K0lUtRtQ6l8ycDuWxH\n6KYlS6nMyakI+y0cm2gP+RM0WaTs/Banxj2LLa35pGR+9InRyFwcH6P6uPBc4/e5/ucwqjQvuab1\n4yKbekHLjswuZAlxNHQZT1f1atSP1oOnfU+mp6ebJfqUBu7u7qxdu5YpU6YwfPhwbty4waFDhwgO\nlhL9hg0bxsqVK/Hzs6+QS7169Vi9erXp85tvvknXrl1NiTk1atRg9uzZ7Ny5k4iICNauXWuq/vO0\nsHLlSt544w0WLlzIRx999MTGffZfTQqhLNbOZjW+BeBMxCs2tS94Y1dqNI2K9d4wbW+gHYQoCESf\n/wSZTIabTx1Cx6ZSr/suZHIVskKEVrnuCwJ2nSLy9AxyM6NtGr9y87kAxF790uKc7MHZ3PkkGPIz\n0+y5hvaQ/BGekiV5e0YX9IIGGTKL1i6lTEV15/50cl8GCBzPmUWKQbKiOWpxK9yP0WJqtErevSsl\nUI0fP95qGUpboNfrS25kI+bOnctPP/1ETk4OmZmZlhXEYQAAIABJREFUTJggidQbyWalSpXMhOwB\nateuzbx585gxYwaVK1dm4sSJvPrqq8WOkyMkEpG3nRjtX+QIKYCIIJZ8DTwVlZjim8Z/fBLxlksh\nJ3uyBrE4Wca/mu/IMMTgIivbg+FpwuhOt5aQZ0iRflTONevg98l8fKZar6JSnI6mLTASRc2Fs6Sv\nX4vnyLH0//NLnH08y9QvQNbv95B5Wc6UL42lUXv1IEJqHG7dJpdpXo6C9upBFIHWE9ueNXiUfx5B\nl41WU/zi58jkoILPgGR9BGvTQvBT1Ga8TyQt3WY+M2QTpBhMo5ZyWdGwYUOuX7+OKIqcOHHCJI6+\nbds2ypUrh0wmY9KkSaWuHrR8+XJEUWTkyJEsX76c3Nxc5s6dy/Xr1006mB988IFDzqW0mDhxImBe\ncORJ4L+OcBpRGtJZvYL08L6XaF1DsDAKZgAqnPLfmOUyJW7OFYi9upgTGwK5/Ftn7kdswKtCe9q8\n/JDnB56hYe8/CKonSfE8vLWRf/d3J+7frzi3tSZZySXLElS8qSS4nGQ5uh/+XZkWm1rOQ/FXPF/q\n420lnRWdJE3IZEMYt7S/4iWvUmx7V7kvFZVt0ZKJQmZu/S3oTn8cJNTV1dUU/2iLDps1nDt3jvLl\nbY9RKw67du3ipZdeYsECqYLV6tWr+fnnn037BwwYUGJQeUn7FyVBkuFf0oUoQpy7sC9zGADpwl0M\nxZDOu9o/uK+TRI3d5OUY53ObN30zCVJK3oND2ePYnTUAjZhmGsdePO2HW3G/86TPPiDpQ8nDUW7e\nl3gOGYHCTquL0ahY0F1e8O/CGc+GlGQeTh6HS+26eL/xtln2uq0omAlv/OdUuQn66IsIORl2zd8a\nNOd+Ru4XglPVovG+2ftsdxU7Ctrbp3Cq8nj1EB0N76BOxFyyXGrXUZnolgw2YZof2ZLRik7uy+im\ntl6Q4mni888/L3MyjaV4xTZt2hAfH48oihw4cABXV1dAWnc9PDyQyWTMnDmziEpIYVy6dIkhQ4ag\n00lKNQsWLCAuLo4TJ06YioEYDAZSUiTVljVr1jgsfrI0KJjc9CTn8V9LOKF0pLNqoFRHNDy2ZBmK\ngjDe8MabXqvLIFcbT2jdn2k98h4B1V/iYcQPnNoYzKmNFYm5PB+VRwjV23xJSLM5uPk0MOvv4i8t\niL7wKVnJV6yOB9C69iYAbh23rR6xtWtSXtkQuax0C5a9VuVQ188BOJU7h2CnkmNme6u34CLz5ueM\nnnwcLb1VOoJ4GK2ZhWuwF4wNNcoPRUZGcvr06VKN888//zisDJtRriM8PNy07cUXXzRlq3/99ddU\nrly5zIvEc06dGe55nB7q73CVSy4kOUpyhASrx+jJRSEzV0xwlql5yeskb/tqqObUF4BUIYLFyTKm\nT59u1zyfNtk0Ir6WoYiFT9TpyNy6Eedadam49wgudeqV2E9hHc2zUQHY8sw0pCSTuWs7yQs/I37U\nIECk/OIVKDy9ivRbGJbIpREFiaxzrVBc248l+f2G5B5bj1AGK70hMRrt1YPWrZti6Wq0lwWG2DCc\nG3S3uK9wlbnHDVvHe67J+yRF/2y27UlIHt3Xn6Gcoh61XYYW2fes3JN16tQxkcHSoiTC2qNHD3Jy\nchBFka1bt5q2L1iwAJVKhUwmY/78+Zw5c4YXX3zRLN6+WrVqrF+/3iS+/s4773Dx4kXCwsIYPXo0\nc+fOJSQkhBs3bjBkyBAyMzNNHranhcmTpft1586iScmPC//VhBPsJ53NanwDwOWoaWUa9/Kdd3Fx\nKkdFv34ER7pSoc44Gvf7i7YvP6B+918RRYHLezpyamNF0u//Q0Dt1/Cq2B11ufzkonsXP+fiL81J\nu38MgwXhXwCF3AUvd4msPkg9XKY5lxb2xs22dJXcjCnCDWq7DCuxvafiOUZ6nSFbiGfq1KkIglCk\nrrkjkoeMfRTuy3jjt27dulT9Xrx4kcaNG5dlaiYYLaXDhplftypVqpjesu/evYtcLjdpypUGi5Lg\ny2TpQSYgEYJgZTs8FMFWj6nq1AdvRXV0ohR/lG6I5peMvixOljFo9zlua/cwduxY6tWTyNjixYv5\nMkXOgaxXEEogHc/Kg60gCsY+aiNvAeA7YzbOVWzXW7Uk8l5cdrooisT27kjSB9PJ2PQDLg0aEbh6\nI8rytsnMFCeTVNiKGrDwDSqs30ju8Q2kzKhMzv5xZhZWa/qShZF77AcQDKjajLS4373PezbN3ZEQ\nslOon9DarIzxkyaa9sLdpy6CQYv3lfsOJZpQ/HOyi3ol2UICl3K/Mdv+LN6TTwrDhg1DFEUEQTBz\nf8+aNYtWrVqxa9cuQkJCGDduHIIg4OnpiXuhErM+Pj78+OOPXLlyhTVr1pCSkkJubi5///038+bN\ns6t2++PA3LlSyF5J4VeOxH894QT7SKdcpsTbvREAD1OLVm2xFX4ebdDqUzHKIhVcHLyD2lP3hc20\nGnmH5sMi8KnYifhry8i4/xdZKdeQyc0Xvat7uxD+c88iVlQjOjeU5vnXvz1KPd/Swkg2C/9fHGQy\nGcFKKZEiW3hg0zi+ipp0cl/G2rVrWb9+vdk+Y6UZWxfAktoV3v/cc88xZMgQgFIlD0VERFgsL1ka\nfP/995w6dcqivJKzszOiKJrigLy9vctcE3dREoS6SRbpO/oDbEprxeb01uzPHG3mXteLeezJGsTy\nFA+WpbixL3MkR7PfIUonKRPs2rWLtWvXcuzYMUaOHIkgCMyYIbmfw/I2sCRFyc8Zvc3q2D9rML6I\nFLFuGgwkzZqKokJFXBqWTfKtJINv9jE3hEfVULxffwv/BctwaWj9ZcbeSkOF27vUrU+lfb9Q6eQV\n8i5fIH7UILL27S5ynDXSKYoimtPbULV+CY/Ojil8UVYIej1KnbzYzOOnWaPcEozrfrBnL67dm1vm\n/oxeKVu9U4M89nFGk5+Y+v8z2YyNjeXDDz+kYcOGuLm58f333zNx4kRGjBhB/fr1Te1OnjzJyZMn\nUSgUfP/992YZ39988w3u7u4olUr2799PRkYGLi4uLFu2jAcPHjBr1qynnt1vTMIqbaxqafA/QTjB\nPtLZqaFUReXov11LaGkdlcoNwCDkohfyLZOW3kiVzmoqNXqXlsMjaPdaJo36/I5PcHfkzj6AAhnO\nKGSeJGec4uSNkWi0RZMBXJx8UTwiqenZYXbP9WTOp3YfA+bk0t6M9i7uUtbeL5m9bbaQNlJNoF27\ndsyePZtRf1oONbAVlhbMgtsK79+2TYrr/e6773jwwDaSbMT9+/cdRjg9PDxo1apVsW3279/Pt99K\nCXDNmzdn+fLlZRozyKkloz0vUd/5NQxiLmp5Ra5rN7Ezowd/Z7/H71kT2ZDWgLvs44svvmDu3Lnc\nVf7Kbd2vpj6WLFnChAkTuHPnDj4+PkRHR7NgwQKm+Ym0d5Pi0u7o9vNViopN6S1NFs+nWbayOBQk\nWLlnTqK9eYPyny1E7mZbQQdrCUPWvHpGS6Jb0wSc60oPNVWzljaNZcmFLmQmWw1nsERS5XI5QXv+\nwK1bT9LWrCC2XxcEGyRTNMfXI6TF49J8oOk8SgPRoEfITinVsYWhjzyN4Ff+sZWjNI1z/2aJISPF\nWVQtGRjqh3zM/UflY0uD4gimIOrJFSxfYx9lDQzP4MtgQkKC6RofOnSo1GFPYD1WMSUlhU2bNtGy\nZUv8/f1p1aoV4eHhzJs3jzNnzhAbG8uqVav46quvSE6W7iuNRsOsWfkJg6+99hqurq6oVCr27NnD\n22+/jZ+fH9OmTaNx48bUqlWL5ORkXn/99ccu7G4PunTpAkgxqE8C/zOE0x64OJXDzaVS2Tox/mhE\nczJVkhvEK6AV9bvvIPTlh7QcHU+Nim/gppLmci9xK39e6UBcUtHasT2aXgUgMf24XdMURbFI3N2T\nQLTuEAqkxdaecmnbt2+nQoUKUt1a3Z8W29hq8Sy8v3AsZ0HIZDKOHj0KwJ9/Fh23OAiCgJuNRMRR\nmDRpkmmRKFgGszRYlAQ/pjemh8c6Xva5Qn+PnTRyeZ04/T+c0yzkat5aug1pwq5du5g5cyazZ89m\n48aNgFS7fePGjbz//vv06NEDQRCYPXs2U6dONfXfwnU60/xEurt/B8AD/VlidEfLNGdHw/i7KJyd\nbkhNIWGyFPetalG6kIuCEHRyBEGw6KoW9Xoe/OdV9DH3aPfzl7g2L/7Fwxq0N0+QNLUKeWdsT44E\niXR6jxlH8O7DuIZ2ILZP52JJp5CdStbPH6NqNRyXBt0tlugEEHIzEDSZxY6dPLM+SW9Xtmu+1mBI\niELukX+jW6qLXlZozuwg5aNmZO8q/mXeGum19pxwUnogivaFMNliydSLGpakOLEy1brkj7PMg/C8\n7c/MC+CAAQMICAgwrctBQUFF6oqXBufPn2fq1Kk0bdoUf39/6tWrx+jRo5HL5URHRxMbG8uOHTvo\n06cPDRs2NBFEf39/RFEkISEBFxcX5s2bR8uW5i+FeXl59O/fn0aNGvH9998TGxtLq1atOHbsGEpl\nviRh/fr1GThwYJnPpaz45hspjGLXrl1PZLz/Kh3OkmCPTmffFnfQGywvggVvXGv95emSABlKhUeR\nfQUXE2vyKkERCuJr+RDYawEuh/2IevAd2Zo7CKLA6YhRiOEC7q5VqOjXh+oVXsfDtRqD2qRaHK84\nyGQyWrrOtOsYMBeGL432abTuEO1cv6CB6lVTfyURT0knM5CjR4/Sr18/dhzrwoQJ4xk9ejRt27a1\n6IIorLNZFnTs2JH09HQ8PGy/xllZWaUuZ1ZWNG7cGL1eb7NcSEEd0uIgJVV9Qxd3qSqUgTyWblXR\nr18/evXqBUiJTJcvX8bJycmU4b9mzRoOHjzInDlzyMjIYNSoUXwV/hULaktfTAPVqzRQvUqukMzy\nJB+eNb1oS7/zlIVzER/Fzsrs+J6tJfbIZHLQa83iKY3QXDpP3oWzdDywkoCOzYmNKnq8LeUs0xZJ\nIRfOdV+web6F4TfjQ4T0dBLe/Q+BK78vsl935zyZP74FMhnuA4vX8dP++7sU49nKejy3kBZf6rkW\nhiH9ATK1uRaoIy2dol5HxjrpJcStl30lO0tCTOJOPN1qldjOHo+eKIp8lSIl3LRy/dBqu8Ont9Kj\nRw/CwuqZ4rCfFgYMGMDu3VJoR7t2UnhWgwYNaNCgQXGHFYu8vDx8fX1xdnYmJCSETz/9lB49epgR\nwZIQGhrKsmXL+PxzKQwpISGBevXqERYWhoeHB0qlEq1Wy4EDB/Dx8aFmzZocPHiQMWPGmLxoFy5c\nICwsjLCwMI4cOULnzp1LfU5lRY0aNYiNjX1iovP/U4TTHshkMpyUJZcRM97YhR9GadnXUMjdbDKP\nS+TSUOSt1vjZJ+BlVE7+nLs1gWxNJD7qprg4ladmxSlEPfiBw5daodOn4+xUjtrBU6kS8DJOyqLi\n2o6sGlTWfpMM1+ih/gEXuafdfXh5eXH48GGWL1/OkiVLWLt2LVWrVmXIkCFMnjyZoKAgq/Evxgz0\n0lYpMmaJ24rjx4+bdNyeBhQKRbEE2R5pqcL7jb/tpUmSpfqLL8yLDzRq1Mjsc9WqVQEpk/7u3bto\nNBp2bNnD6z4PcZLlZ5iuSLFPWPlpQRcfS/bhA3YdY3SjWyWcKnBvloBcXfQ7q6aK5gGgCrDt+liy\nJuZdkearKF/FYlldo9h84ex1S/D7bCFxfToTP2YI6hGbUTxSgMr5ax1Zm6ei8K+K9zu7UfhaTzQD\ncK7bCdFgPQs+76pUZlXVdnSx/dgKMSMBhfoxlCh7hJSPWwDgPmgOclXJL6f2JCrdTzlIgHc+AXHE\nmv59mlQyN1DZglA3y8Ly0r3fnLlz5xIaGkpqaulCIxyBgmRTq9WaMr/thSAIXLt2jYoVK+Ln58fA\ngQPx8fFh8uTJVKxYERcX+z1/U6ZMYeLEiSbC6e/vz5kzklRcZmYm7du359ChQ6hUKj7++GNu3pSq\n6hmrxmVmZtKsWX7i8NMyVhRExYoVn9hYz5iNoex4nKSrYN83Yhbg69GsmCMkGEllca52V5cgqlV4\njT7NpUzY1KwLPEg9iLPSm9C62+jf6h79Wz+gZtBk4pJ3s/dcDX49VZG/rvbgStQsdPrsMp6dORxR\n9tIg5pmEg0sDZ2dnpk2bRkxMDPv376dz584sW7aMSpUq0blzZ+7cKVou1EiYiiNWjnYXnTx5skgN\n9GcV9hBwS2ELJVk92rRpA0hJVBqNhtGjR6MVM7mqWWPW57MEY5iFUezdaAkTdTrujxiA3FsiZk6V\nq9rUn6WsdDPI5Qi6osk1Qm4uqZelcqSXZyw1kykyklhLup2Fkb5CsiL6fGg99KawO99aX3K5HN8P\nrqAIaE/yJ61InFGbpFkNydo8FdcOr+H72UWcQkpWZ5Cr/VBYEZkHyNwohYSoB5Uu1rwwhMwkZBbI\ntiOgvX0aQ0IkAO493i5VH4WfBQVd4hmpl2iRNtIh5ZwBjma/Q6ogkZ5RXmcstil4T3bs2PGpkqB+\n/fo5hGwCZGRksHnzZpMHqHfv3pw8eZKqVauWimwCtG/fnsTERARBekYWrJm+evVq/vzzT1QqFXq9\nnjlzJHI/ffp0YmNjASlGPy4ujpiYGLKzs4sU8fhfh8PZ2dtHnr2Hir0ozoUcHCbHcOkoKZnnaVnr\nO4eOq3atipNCWvxlMmduxX2NTi9lrDopXKld6R06Nfydga3v06PpFXw9W3E3cRu/na3C7tMh7MkY\nwq283RgMkhtfJ+aSoLc/+aasi90D3XlUMuvl7YpDYVKkUCjo2bMna9eu5dq1a3zzzTfcvn2bVq1a\nER9vmxvO3ix3e3D16lWaNClb5vL/Ctzc3MwW8vPnz1PdqT9Hc96m986/mDVrFm3atGHevHmmBftZ\ngKX7XchIx5CUiHMt6WXCrYujFCJkYIFwZu39levzJdf1gz/OcGjKD1Z7sCZVlHtyMwDKqs2Ru5Zs\nqS9MOq1peKoHfoRL7Q6IqfEIafE41emEeuQSZA6KiRDS7gOYxV2Wqb/sFBRe+S+7jpJCEkWRtAXd\nAKlUsS2wd2ydmI2P0nbZreIQkbeDCxqpsMU7vpYTggquiZcvXyY0NNQU1/ek0a9fP3777TfAOtnM\ny8szlYwsiB07dvDyyy+bbfP29mbBggVUqiTlSPTp04fo6OgyzzM4OJjDhw9jMBg4evQoLVu2RBRF\nJkyYYHLPK5VK0tLSSE9PZ+HChWbnEhQURHBw8BOP+38W8NgsnE/TmvG4rJwgLTr7s8ZQ13kktSMd\nszAURI+mF1CrqiOKWu4mbmXf+Trk5MUVaadyLkfDyp/Qr2UUL7ZJYLTbCXyVdTiV+xnL09SsSPFl\nR3o3zuUssvvhbo1w2xrLGa7dTgWlbRm29qBatWq8/vrrXLp0iYyMDH766adi2z+J3+CtW7do3779\n4x2klChM3m25FsUlVtkCLy8vmjZtCkjyIpMXdQKgU6dOzJ8/n1OnTvHBBx/wn//8p/SDOAgFz/Nu\nSCKZiefRRZ5Bc34XiR9IOr2GREkI371rT8cMKpcj6ixUcyqUKCJTSA+u7JM+JotpSZqYmT9IxSF8\n3t1r83RKigfVnN5Kxg+vk3f+F5xqhlLu63j0sdfQx9qvlmEJ+kfWQmVI6augFYaYl4PM3cdMd9MR\npDNjleTyV7UZWWIYgTVYsm4akayPwFlWNFSqNEjSX+e3LEnIfZJPHApZ0fLCBdeDFStW0KlTJzZu\n3MjQoUUF4B83bCGbIBkgxo0bZ0okMmLQoEFs2LCh2DFUKhWCIJT5ZTcwMJAtW7YQGBjI1atXrRJ0\nLy8vu0O0/tfx2F3qT4t4lpV0WiNXqYabZIv36aL+xiHjFIZc5kzt4HeoUUFyM+Vpk7gaXXLdVU/F\nc4S6zWGM93ne8ctllOcF0g13iNUf59u0QFam+LMh9Xlu5v2MIFiPpyp43pauQWw9oUTiGav7m+rO\n/Uqcc2lRvnx5mjVrxqxZs9i+fftjG8cWJCcn8/zzjntYPm1Yu1+vXr1qikOyBkEQkMlknDx5kmXL\nlrF582acnZ1NQf99+vQhKyuL5cuXs3r1aq5cKZv0lSNwK28XW48pOLUxkEu/tiF1flcyVr+M5vRJ\n/Jd+iz5GKgrgXK/0yQoFIZPLES1U9cnYvD6/jYsLbp262NVvzuEVADg36oXM2XpFFlt1O8W8bDK3\nzSTjuwloTm7GuX5X1MPmI1c6o2o2kNw/V1k8zhopzrHSPuun6QB4jP7KpnnZArm7L0Kq45KQQCLG\neRf3AOA59lubjrGX5EZot5Wp/LAReUIG69Ol8JfhnsdQy4smhBjvcb1eT8+ePVmyZAlhYWGmpMAn\nib59+1olmzdv3mTevHnMmTMHQRBQKpXMmjWLWrXME6ts1bQMDAzk2LFjpZrn7t27qV27NocOHWLL\nli0MHDiQhISE//Nw2YEnljTkyIoxtqK0GdbF4d+8H/CUP2f2Jmotsag0cHH2x8+zFRFxywAQ0RP9\n8EdcnYPw82iO3pCFiEiI/0vFlqr0VlZBkGkZ7x2LUu5Mku46ZzULOZu7gMPZryPHCX/F85RT1qe5\najpuCvNEBXuE3gsjQ4im6qMyh48L3377LWPHjuWVV16hV69eqNWOsQyUBvZkOT7LKC6LPSkpCa3W\nep11gPj4eFQqFc7Ozrz55puA5AJ79dVXOX36NKGhoSYLxeLFi5k2bRqHDh16agLIUdr97M560fTZ\ne/oBxLxsPPsHo/D1RebsQsI7ktWwtNp5hbU4E10EGgQ8wKuq5E47GxWAqM1DdycSv48+x2PgEFA6\nIZPLi81IL0wcs7a/D4DX65uKnU/h/iwRUN3dy2T9NB1d5Bnc+s7E7YVJyN3zQ2RUbUeZsrRthZAS\na3G79tofADiV0cJZ+6zKFH8r9/LHkBIDBYxLZc1ST5ktzc/nA9vIiiWyWZx1EyBPTC91KJIRoijy\ndaqU3dXJbSnBTu2KtDHe47du3aJjx460a9eO27dvP5X7sG/fvuzdK1nktVot0dHRrF+/nt9//53I\nyEhyc3Pp2LEjeXl5bNiwgYULFzJw4MBSz7VFixbs3r2bjh072tT+2rVrHDhwgO+++47IyEiGDBnC\n7t27qVGjxlMXbv9vxBO/Yk/a2lkWC2RhsqUX8/g3bx3VnQY8lvEA5DIFPurGhNb9maoBr9H9+fNU\n9OvPjZj5/HN9EKcjXuZMxCucCh9Jtuae1X6yhQTkOKGUS66Uck516eWxnlHeZ3nDN4HR3heoqGxD\nhHY736fV4JuUQLald+JGzGKyNNGlnr9ekEiJcdzSwJaXkoSEBMaMGYPBYOCNN94o9VhlmVNCQgLO\nzqU/z9LOw9aXtuKE7u1F586d6dGj+DjG6OjoIi4kFxcXXFxc6NChgykZQaVS8dlnn/HHH38QERFR\ntomVAqIosn//fn7J7A1AQM1X8Jn5B8412+LSoBvKwArInB2jXVs4gUgmlyPozBOCqqUeA4MBQ2Y9\nZM4uZrGRtlgks3ZJyQmq0DEmV3xh2FKiEkBz7hdS57ZHF3kG9Utfou73vhnZBFBUaoiQnVZiXwWh\nHlK0eo6geVThRFH6xBDIJ5tGF3pAbhXUkQl291H7rIpaZ4p+78brqwx5vsQkKWvlM20pUymKeuSy\nsl2Lr1O9Aajm1JemrkWTmozrwMqVK2nRogULFy5k69atT4U89e7d20Q2/f398fLyomvXrkRGRjJz\n5kwSEhLIzc3lwIEDHDlyhPHjx/Ppp5/SpEmTUrvFe/bsycmTJ0tsd/v2bf7zn//QuHFjli5dSo0a\nNbh//z5btmyhVq1a/0c2S4mnYpoprWTN08bezOHIkNPBfaHF/YWr8ZTF4lkvuj71WAf3wKfeLySk\n/Y1MpsDTrQ43YhYRHruImMSd1HvuQ+o+9x6x9VQmi25wmJwwzXoClNZN/Wp5IK3c36eVu2QZ0QpZ\nRORt49/0X7l+bx6CoMXDrSb+3h0I8R+Fn0fTIudpCVG63/CUh5T6vI0oSTOyc+fOdO7cGZlMxpQp\nU3j77bcd5touXMe98N9GHD16lJCQsp+rPSjsKbCVSNqiwVlWUhoTE4O3t7dNbY0SSg8fPqROnTpl\nG9hOxMTE0Lu3RDartlxAcMN3CK9W1AImPnqoyX3LJuN0NirAZOmUKeTUlcdRycWVs3mVyIqOI+yL\ndSgCK+BUuwOQYVGjEyDrH0+Qyc2sraIokrN/MQAeY762OH5xRNMok5R37Q+yf/kEfcxVnOt2Rj1i\nEcrAGhaPsfawtbfKUM7ehY/mXfpKWZbInUodQmqc/WWLj6199PK4Dpxqd0A96FMU5Subrq/P+8X3\naY8L3dIaqicPJdbDIUrCvsxRaEUpyXSg554i+xclSS70AQMGcODAASIjI6lcuXKpx7MXOTk5bN68\nmcWLF3P37l3yHunbjh8/nlGjRhEaGloskZs5cyYzZsygcuXKHD16lBdesF9ntnfv3lYNFEuWLOGv\nv/7ixIkTpKamUqVKFdatW0ebNm1YsmQJ5cpJi+6tW7e4du3aMyHc/t+Gp+YLfJKk0xGu9X2Zo7mt\n+5Vhnn9ZDMAu67iFF6DCx/l7S/IJGm0i4bGLHm0VCbs3B3/vDrirKnOndjmckFzLl/JW0shlok1j\nAzjL1fg0G0t7xgJSPN6DtMPEJG7ndPgoNNpEBFGDv1cnGutG4N5wAJUjirqxb2v3EOzkGKkHW0jS\niBEjmDJlClevXn3isZRnzpx54mSpLCh8PW0VgrcV8fHx+Pr62kSGW7ZsSaNGjXjllVf4448/qF69\nuuMmUgKWP18JpUKN3pCFT3AXq+7WvKtSJSdHJAwZSadMLic7OYvde2NJ+Hs34cu3giDiOf47ZHKF\nRbJp3JY40dx6rAx5HsMDSfKmUqPp5Nnp9hdFEX1cDLqwlWSsWomifFVcmg7E45UVRfQlhZw0DMmx\nCCkxGFLjQZ+HLuEOTv5VSl3OMueQFLepav2nGPgtAAAgAElEQVRSqY4viIJkz7tiZ+6czxc4L/j9\nZu9dSPbuuci9AlEP/gyXFkNMFuV63XYR9rtEInThf5P6eUfTcV5vbEUmf7xyQQYxD5Xch4f6S2xM\nl4wFwzz/opIN6+kVzRpuaCWVgqm+5jHCBV3onTp1IjQ0lNq1axMXF/dYCefRo0f59ttviYuL4/bt\n24AkNK7RaExk017pI7lcTrdu3Xj99de5cuUKrq72EfSCiUMFye2BAweYPn26qbTyq6++ire3N9HR\n0VSpUgWQst5//fVXIiIikMvlJjWY/4PteKrBZ08jrrM0uJq7jhtaKTYqWFk0JsYaSpJXKtjOVmLq\n4uTHc+WHcy9xq9SP30D0hgz2nq2Gp2tteja7BkCekE4TlzdtnmvhucXWgyDf7gT5djdtT8+6Qdr1\nHVzVrybp3DRAQCFTUYm2tHB9jwBlY+7rz9BLvbFU45YGKpUKlUrlELkLe/Hvv/8ybJj16imOREES\nZ691s3A/pSGdmZmZJVZgevDgAeXLl7epP6VSydatW6lTpw779u0rc3lOe+Gs9MMzuDOu3rUByw8O\no+i7u42SSMXFXJpiOWUyfnpzA1m37iF3UlL33TFkv/guuVcq4d4mFVGrRXPhLE0rhqBwceZsVACd\nRoVzNiqAcp8tJOmzj0GbC4D+bn79Y80bH1CQbgqCAJoMXGpEobmcgiEtFSEtDUNaKmJGOrqYe+Se\nPYmQlAgyGXJPLwRNFkLkaZLfb1yk6LtM4YTMxR2ZygOZuw84qZBp9+HeZmSJ10UURTQnNiJkpyJD\nhijowZAvDVXa+FhrFkUX9yAEg2UZIEWA9GIjpD8g47vx8N14AFLrdEI96FP8h0gWQv39m6R8lK+z\n7NK4+GSakmqm24JcMZFy8vr4Keqatm3L6AhAM9U02rvNRy5TFLm/zp07x+IWknEhOTkZX9+i461Y\nsYIPP/yQb775hhEjRjBmzBj27t1L27ZtbZpbSUhKSuLnn3/m6NGjnDt3joyMDJycnKhWrRqTJ09m\n4MCBqFQqevfuzYkTJ4DS62wuXLiQkJAQLl26ZNL+tQfVqlXjvffeY9GiRYiiyOTJk1m1ahXTpk1j\nwYIFpnY6nc6suMWiRZLii0qlIj093e5x/w/PSKWhJ2HtLK2VM8eQzJ85U2it+ojmbjOk0nR2jOlo\nyGRyWtVaj1LhTtSD74hN3kVsslQHNSM3HFHUc7tGMk4pbiQ0dCPYMeolAHip61DP/RPa8gmx9QT0\ngpY78eu4n3aIXTlD0eWkoRVSOJYzk/KKBrRwnYVaUYwItg0oiRDFxMSg0WhISUkp0zilGTsqKuqJ\nCfdaukdKmp+1e6o099qIESNM8VbW8PDhQ7tCDGrXrk2FChU4evQoPXv2pGbNmvZPDPvln9KFO+Tk\n3SXn7l0uxr6Pms8stst5RDhVpaxpXhhRG34jI/ohYlYmqg6daVhdhjz5Hvc+/wjdfTnO+5N5ePQc\nurRMdo7LP+6ekwKFpwcGF3cU5f1Arwe9HkN6Ouh1yFSuJM+shkwm1WpHFEEmQ6ZwQq5WIlOpkKlc\nkbu5IXN1Q6ZyJffoYXBS4t5/EKqGTXCqXBVFQAB5kTWRu5Us5ZJ7Zgfp37yPW+v2OD3SOTSicNxp\nzsGvyP7lY4v9ODfoZv+FJJ/gGa2XhQmfk4sfGQnn8PRvbtpmSInDpekA/NdmIOSkk3Nomcldrrtx\nlNS5+VI7rp3zvUPlV9y3aS62wtpzIdFwhWR9ODN/rodylEi2kMAvGb15aDjPec1izmsWU7lyZd6I\nPmqyTCYmJtKihVT56OLFi/j65sfb6vV6FixYwKpVq1Cr1YSFhZlKGHbr1o01a9bYNW8j5s6di5+f\nHzdv3uT48ePcu3ePrKwsqlatSocOHfjtt99M5W4Lonfv3uzfvx8om6i7r68vmzdvpk+fPvj6+hIc\nHMySJUusZoufOnUKNzc3E3n85JNP6NevH1988QVdu3bl7NmzHD582KzE5NWrVxk5ciQZGRmmMbOz\ns+nUqRN79+59JioE/TfimSCc8OzGde4QBuIlr0Ibt09K/SZeEuwlw3K5Ey1qrqFOpensO1ebqoHj\nuJ9ygFxtHLtOBVDeqwMqteQGsKWGuT0oOE+l3Jkawf+hRnC+pqLHlRiu5K3ilvZnIvJ2IMi0qGR+\nBCqb4aeoS32XcagV/g6bT2ZmJiC5i0CqLiEIgs2xhAVR2HJY0u8xKyuLGjUsx7k9DthSSQkez330\nwQclS3MlJSXRqpVlcmZtTguWLmDs2LHs2bOHWrVqMWfOHIYMGVLsOCWVLjU+zKzdrxkNglGc9sAg\n5uHcoLvZvoIWSn2clFkts+HBaEtyz4U354PCCZmnP04VgnB2TUHpoqSSt5r7Qd5kOYVQ+926JB47\nT8rFG2iTJSuKQWfAkJwGWE7UqXwhvMSxjRC1eSQvnItoMFBp/18oA83Lsuru2yYY796mC6luN3g4\n5TWCf/29yH6z0pk930Gu9kU06JF7lEOmcCJ95XAAPMcXrdNeEmwheJ4BLUmM3GYinPoHt0j5MD8O\n3bl+F9xf/BT1ozrw+rgbZO36FO0ViRDlHlkNgHrYfGQu7qWeS0mZ6UacyPkEGUrSxUh69pRCOCZN\nmkTM8pMolUoWLlzIzJkzzVy8P/zwA2PHSiFQ69evN4UUhYWFMX36dP78808aNGjAgQMHqF+/vtl4\n/fr1Y8aMGcXO3YgbN26wfft2/vrrL/7991+Sk5NN+5YvX87rr79uEjr38fHhm2++Yfbs2cydm58o\n1qtXLw4ckF7gdDpdmZU9+vXrR1JSErdu3WLVqlW0bt2aTp068eabbxaRdpoyZQoXLlxgy5YtNGjQ\ngOHDh3Pw4EEaN27M/fv3uX79OiEhIcTFxbF06VK2b99OXFyc2dqekpLCmDFjWL9+/WPjAf8/QCaK\nomM6ksmaABcuXLhQJl2qx006Y+sJ3IhZRK72Pk2qLSmx/Y5/1PR3/5mqzg4Sfi5mXrbifsrvJKQf\npVGVLxBFEZlMxt6zNcnSRJq1qx08jfDYxdRyHkpfj22PbT5GFFxMz+QuIEd4SCf3JTzQneem9mfC\ntT+RJ6QjlznhLg+kgqIlQU5tqerUB3dFyV+8JaJ14MAB3u6/npu67bz11lssW7aMrl278vvvvxdt\nbAMKWg1LsiAGBATw8OFD6w2eAhxx/9hiNS1M+BYlQatWrZg1axb9+/e3eU6LkiA1NZUNGzYwc+ZM\n8vLymDt3Lu+9957Fh5K1vgTRQJpwm6DJm5g7dy5169alU6dO1KpVC39/f1588UWTRaXDBB0XHn5C\n9p55uLQYjHu/91E+crUWJJx36knW2iphd62fAEXJpiW3upCn4W6zOsh9/PCevBuvoRWL1F1PWboA\nQ3Ii6j4DaT+8KjK5/JFskpZOd7/j4pZjXNlunmHrO/0DvF4Zb/pcWIapYP95167y8K0JGB7cx2/2\nHDxfMq/MYqtGp/H8MrZtImv/HoI2SFq4oiCQc/gAuf/KwSC5zUVBD4IeDAZEgw4EPaJBT85eyXXp\nvzbDpjELwhbCmRS9h3uXvqDJwFMmK2j2vsVk/2q5lrhrtym493oXubsv2ojjpC3uXez8bJmDJVe6\nJcJ5R3uIfVkvMc77DnMiDbz44otmmrflypXjxIkT1KxZk8uXL9OiRQt0BapVvfbaa6xZs4bly5ez\nbNkydDod48aNIy4uDpVKxddfW04m8/f3JyHBPJs/MjLS5Br/559/TO0aN25Mz549GTx4MBqNhqpV\nq5Kbm5t/DnfuULlyZT755BM+/TS/ROny5cs5cOCAQ8lmYVSoUIHVq1cTERHBxo0biYuLo1q1aowd\nO5bXXnsNjUaDl5ckFdWlSxcEQSAiIgKFQsHFixdRKpVMmjSJbdu2UalSJYYMGcL06dPx8fGhSZMm\nhIWFsXPnTgYNGuTQef8v4eLFi8aCH01FUbxord0zRzjh8ZFOURRZm1aFDEF6gAxvX3zQr06fwc8n\nfXjDJxlXedn00WxBSSRPZ8ji11OBGATpRi84/7ikPZwMf8m0rzBe9Q7HR17DppCA0iZYBYfJEUWR\nNWkhZAoxAEzzK/r7EgSBGP1Rbmt3E607RKYQg7PMA3d5IAGK5lR17klFZTvcC1lCLRGha9euMaPV\nRa7krSFef8K03Vteg3E+N82OiY6ORqFQmEqdFYY98Y23bt2iR48eREZGWm7wlOCoe6fwedvS797y\ndfjpp59o3DhfOsYeCSdBEHj33Xf56quvqFevHkeOHMHf3/w3YKk/jZDKzozuPDCcQyaT0bt3b9Rq\nNUeOHDE9UOvVq8e8efPYvLgnD2pDWJVwkt9vCIBT/a54jV1F3rXfEe7vI+fYUcScbFP/9hJOKEo6\n865dJX5YX1xajcDrtdWm/QVJp5HgFoZTzdp0e7U5z48I5Zb/8+gysvglQHL/Dcs9W+zcjDh1SUX8\niP7I1WrKz1uCc/Wi4Qv2Es7Ej95DrlbjN0NK0Ln/yjA0507b1AcACiX+q+wPhSnoTrdG/ARBz5nN\nIbQeHcftk++QJL+F+sVPUQZLguj62DCyfvkY7b/WX0z9Ft1E4R1YZHtpySYUJZyCILAyzY88UbJe\njxo1irVr16JSqVixYgVTpkwxa79q1SomTpxIu3btTISwT58+nDhxggYNGrBw4UJatpSqvO3atYv5\n8+dz5ozlGuo1a9akd+/enDt3jgsXLuDm5oanpycNGzakc+fODB48mIoVK1o9x9u3b5tZAb29vbl5\n8yZ+fn6MHz+e7783t147mmxeuHCB9PR0xowZY6pVDtI13bZtG6tXr+batWv4+vqSmppKUlIS2dnZ\nlC9fHi8vL3r16sX69esxGAz4+/uzb98+mjWT4nYPHTrEK6+8Qk5ODn/88QfNm0uW8l9++QWAF198\nseiEnlGIoohcLic0NJTjx48/ljFsJZzPjEu9IB6Hez1PSDdplAEMCc0p8Rjv64mADJXMtoW4rCjO\ntX4jZiFX7swyfR7Y2tySUbFcPwa0iic9O5w/roQCBir69aNabltO5HzE92lSTehKyk4M87JfMsSW\nuWuENFak5l8ra/V75XI5Ic4vEOKcL2shCHpi9ceI1O3lbM5CEoVRKHBBLa+Av/J5QpQvkJDQtwgB\n2dCxPnVc6lDDeTBZA6ewadMmtFotacItsoT7gOQyLOiKcsRL1tGjR03SPv+LKM39l5mZWaasV7lc\nztKlSxk6dCgDBgxgyJAhrFy50uQOtDSne7oj7M0cgUZMZevWrbRt25bgYKnsYF5eHnl5eZw/f56Z\nM2fSv39//L06Euj5PlkXVpj6cK7VjqR3LZepLW2FITOXcptU5I8KE+iizli0gLao+hDxWjTVU45y\n96cD3N12EG2KZF3T3Qxn38xw9s00T8YL3b6oSD/WkPPuaITUZPwXf22RbBrnWRzpLDxvmZMSUZtv\nafN4dS/KGlJ5QZnCSQofUChArgSF8tE2JenLpZAJ308sEyFbURzxk8uVIJOh1+cQH7YSgJQC5LJ2\n8DQ6VtpC0nhPbjTPJe/Cr2Tt/BAhWdI2dqrZ1uFkszD0gpbtmZ2oqGiHQq7klnYXmzZtYtOmTahU\nKs6cOYMoity4cYM2bdqQlpbGpEmTmDRpkqkPb29vGjduzI4dO1CpzOfWvXv3IiVkV61aRXJyMrNn\nz+add97h8OHDDB48mJ9++snqi7g1VK9eHVEUTWQjLS0Nf39/6tSpw9mzZ7l37x5//CEJ+z8Oy6Yg\nCKxatYp69eqZbZfL5YwYMYIRI0YAkprIW2+9RVJSEvv27UOj0ZCTk8Phw4f58ccf6dKli+m5YjAY\nmDhxIj/88AOvvPIKy5cvx91dCqk4duyYycrpKEPdk4Dxew0IKFs+hSPwTFo4jXAU6XygP8+mdOkN\npbJTdwZ7HuRc7mIuaVbQKzTK4jHBYXJ0Yg5fp/rS0XUxTVwnO2YyxcAS2czKjWLvufy3yFa1NlA5\nYBSR979DIXehcsAos/Y3YhbzMPUvQuvtoHK4dKNkGx5yPGc2d3QHyBbjqefyCj3VPxQ7D3u1RJMz\nz3H4khS/V9WpNy967uVs7kKuaFYx3if/GtsTUyoIAg8NF4jU7cGt9UkuXrxIXl4e5cuXp3bt2rRt\n25abX/bCX/48yA18eDub0aNHs2/fPlMf0dHRPPfccyYJjL///tshtc/Hjx+PWq1m6dKlZe7L0XD0\ny1qWEE+S/hqVnYtP8Fit9cTV1RWZTIZcLketVpMe5YlK5oVK5ourvJz0T+aPuzwAtSwItbwianlF\nlqaYS40dO3aMoUOH8vDhQ9q0acPHH3/MqsF5NJlxhd8+z0IjppIh3CVW9zcVlK3ppl7NulTr8bQp\nKSn4+eXracp9K6EMqo1b97dwqtWO7D3zUNVX4da+E04hVUhb/TWpyxdT/suVqHv0KfEaWSNqRpKm\nvRlO3MDu4KImePdBs0SbkLu/8VevySj8yuPedwCtJrbHu1FNU6xYI91Ndu+MJG3bLiIOXTYd96Xw\nMwBn84onCgZNHjt92tF02QyqTxhcRIy+pPOwlnmf+ct2MnfvJGjDdrJOeJN3cQ9ibobkSn/kPsdg\nQBT0iPo89PeuoKxQh5wDXwKlc6eD7Uk6l/d0pEKdCTwvjCY16woR/75PtO5gkXYyj/KoB3+GU+Um\npHzcwurcbB3XFuumRsjgh7TaVHHqRQ+PdabtdRZ+z2uvmVdxWrRoEe+++y46nY46deoQFSWtp35+\nfhw/ftyiNFtqaipz5sxhw4YNZgmVSUlJ+Pj4PJaklyNHjljUxnwcZNOIoKAg9u7dWyLnOHz4MN26\ndcPV1dUUClCY+0RHR9OxY0dSU1PZu3evqSQvSPH6RpWOyMjI/xpjw4QJE1i7di0gnW9MTIzdLxa2\n4L/awmmEI2STLuR+xdGcdwDo4v4tjVWT2JjWlIcG6ZoUlicq+NlJ5kYb1Uccz5lJQ9U4lDL7shHt\nRUELpyiKHA8bQHyKlBns5d6A7s+fI1cbz9Zj+YtFYcIZl7yHqgFjUSry9cnCtVu5pv2Omk6Duanb\nSVjeerq5r0FRQlULW8lmROxXXIp6F4BmNb6leoUJbDjRiETDVYvnaCvkcjkV5M2p4NScRX9K26aX\ng4yMezTou4evp/5NjG4FuSSjwptN5Z+j+4j6rFq1ioULFxIVFWUWLD906FBCQ0ORyWTMmzePWbNm\nWRm5ZFy/fv2JS/k8LWQJ901hKMXBkOXGw4wHgCTyPDkohky3e2QKsWQJ8eQKSaQb7vBQvECemI5W\nzEQnZqMXc/kpMP93XzAov1y5cly4cIHu3aXknr1znBB1TihlKpxlHgQom1NJ2Ym72j/YvPksXl5e\neHt74+npiZeXF15eXqjVanx9fXm+6hJihGNUbPAW8T3rIXPKv5/de07FOegy2pvhZB8+SOpyKXvZ\nrV0nu6+XJYKW/sMa5H4hiDoNomh+X12PlOZhSE4kY/1afl+/1mz/kbaNCRnRk7o/LCaqzgB06Vl0\n+t1ybXJLiFq/B5lcTkCn5sW2s0aarck9uXfrSfLChWSf9CFr2wyr9dULQnt5v22TdgD02nQi/nqF\nCF6hTqWZ9FVvJbGBB6IocMVpGzcvz0RIiUXMTCTzh3yroe/HRSvRlJVsFsZ5zSIqKFuakU3pefcq\nr776qkkBIzY2lunTpzN9+nSaNGliIpv+/v78+++/+Pv7s23bNsLCwpgzJz8+1c3NjUmTJrF3714u\nX75sCnMxipc/DnTu3BlRFNmxYwdDhw4FHi/ZfOutt6hSpYpNBq7NmyWN0tzcXMb9P/bOOzyKqm3j\nv+3pjfSEQAgQOoQSiNIEUYoNQcECAiIIYgNE5f0EFbChoFQRsABKEVQUpUtvIRBaIARCCISE9J5s\ntn5/rDvZze4mu0kolvu6cmV35pwzZ8rO3POU+xk7lnnzKvM3Dhw4wOuvv86ZM2eIiYnh3LlzFqWS\njWRz8eLFfxuyuWrVKoFsqtVqZsyYwaxZs5g7dy5Tp069I3O6qy2cVeEo8VxX2Is0jaH27UjPeLwk\nzViQV3khvepTikzkUu0Yer2OJfmBtFY8R29X+11YdUFc8A72nq3Mnn0gKhZvt44cuvAkaTmGGBJ3\n52b073QGSZUSkj8fCeThrleRip0EcqfWl1OqS2dPyWSSNYYKFI1l/RnqsdVi245aN3ed6kVOkSGW\nqH/HeFydm7DpkKew/lWfMmQic3Fe47j1kT2/pfgpvCTN6Ob0f6Rp9pGi3oasw2HBHSUWi4UyaBs3\nbmTq1KlcvXrVIovSUYSFhREXF2fh4r9TqJrsdCewJC+QUt1Ns2W1KcNphEqlIicnh6ysLGJjY1Eq\nlchkMn6YUkCFvgC1vgSVvgSVvhgNZYTFlFNeXo5SqUStVqNSqaioqECr1VKUqUcr1aOT6NDp1GhF\nWoMFTvfXfxv3QbGPLyKZDJ+p03Eb+IjN+Vd1oRuXGT+nDRmJyNkDTephGh2wbgDQazSUHztM6Zaf\nKfntZ5tzAvtjN3VqDVsiH8W/d2e6ff2eTeumvfGbVZEzvT3uIxYgj+yB8th60KhALLXqSkcspWT9\nW2gzLuL50loUHQY5vD1HJIjSL6zk8sEJFsvlLsGEd/2AvOGPGUqNlheR80qosL6qddORbdobu/lT\n0cOEyfrS2aT8pLXfgEajYerUqXzxxReV8/P3JzU1VXChZ2Zm4uHhYVUEfciQIURFRdmlMvF3Q1BQ\nEOvXr7fLYxUWFsb169cZPHgwS5cuJSAggPPnzzNixAhOnTrFgw8+yMiRIxk+fLhF3+HDh7N+/Xpa\ntGjBhQsXbsWu1Dvi4+MFHma8fz70kMFTU1ZW5rBgfk34R1g4q8Le2E6NXsnneZUH9BWfIgq1qQLZ\nDJJ25RlP+4LbRSIxUU6TOKVcfFsIZ1LFJvaeHQpA06AJdG62iMyCvaw/UHmq+nU4TAOPrhZ9y5U3\nQS9CKq6iSSdyxksSQUunp0kuMRDOq+ptbCzqzxD3rWYWJXtJoEZbzsZDleR9yL2FlJZfEcimr8e9\njJId5ET5F+wpe42h9xbROLF64fDaIFtzho5OryAVy2ks78ePRf1ISkoiMjISQCCbwcHBvPbaa0Jw\n+apVqzh06BAdO3YkMjKShx9+mKCgIJvbqYqKioq7hmxC/VYMuhOwlqAll8sJDg4mODhYsNC84Qvd\nbLwjzt1ne+y0HjrSI7Wc+b0/Bel/xTCLJQbCaQ0iEc697ydw0QpUl5O4OX4kJb9sxH/RCsRy85e8\n4oOeoC4DtRKxm48ZeSs97E3p9i9QJ+7DqXsvpCHm7izTRCFpo3BajOxH5w+fxW39W8JyZVYe1zft\n4uRkg9W199bF1udcBbFXAij8djnlN3PQDHu9Wld6beH2xAcULRuJU88xSH3D0Gs1oC1Fr9X8JfBe\n+R+tGm3GRYBakU2wniik02koy0+kLP8cZYVJKItSUJZcQ12eiVik4InuJaRmreXk9TdRlWWgKkvn\n4p5R8JfspqGkqAF+y8ylp+qDbNqCjsr416rX/tdff018fDwLFy7k888/59NPP6VVq1bI5XLOnDlj\nViWnuti83r17m4UY/ZOwZs0annnmGeLi4qo9BitXrhTu+zt27CAwMJCQkBAyMjLo0aMHV65csakf\nvG3bNtavNyi8nD9/vv534hYgLy9PIJuxsbEUFhYKZDMlJaXeyaYj+FsRTrDPimMkmz6Sloz2TOBc\nxddsLzUoKfdymUsXZ8fMyR2dXuFw+Xtka87iJ61dEoG9KGzsAucgPGAUHZrM5ecjgVSoswEIDxhN\n18gVNvueu/Y+clllYlTVEIFI+ZN4ezanQl/IhqL7uKrezvbS5+nv5rgWnpFserm2p3+nk1xOX0bc\nZUOAelSTz+hbOJl1hT1J0xiy4hpdcIVbIF9Wrs8hUGIg38YXEo0+jOnTp/PBBx8AhkomEydOFN7y\nCwsLKSoqYvv27Rw5coSPPvqIN954A4VCgVwup1GjRkRGRtKoUSNGjBhh4ULRaMxLx/0H0OiUiKib\nxboupTZt9XvD19xSH9l7JdfiP+Jm4kr0VOPdkUiQRxhiQuVNmxO68zC5M97keu8uuPYfBFIZpVu3\nADpEIjF6rQwQodeqETt74PnGH0i9DC8wFcdWIAuPQJuViecIQ3ye0frp8cwoir7/FgBNagrnZn3F\nuVnmgtxBA+7Fv0elhmRAb4NrvCYCWR57hLzPPsBj5PPIm0XabFdb6yaAU9Qg1Fefp/wvAfXaokWs\nk0AmE6OVhvKDedfR3ryENusK2pyr6PLT0RZmcDwrF42qsNICLBIhlXsgc/JD4RqKk0cTvEP60rio\nPXvO9kckEtM44BkaBzxDeqQWTUUBp7I/omyrwa2qTjS8qXi+slEoc2mck72wl2waQ0ZCZT1JU+9n\nR94rPP744xw48JZZzOBzzz3HmDFjACgoKKBDhw7cd999fPON7dh7a3j00Uf59NO6nZu7FUZjwtix\nY/ntt9+sttFqtbz44otCvGZpqUF94qGHHuLNN98UEkmtIT8/X9BETUtL+1vob2q1WiFWffny5bRq\n1UoID9ixY8ctLWVqD/5WLnVTVEc4F+f5Uq7P5XmvS+wtnUKy2mDVe9rjCMGy2lUN+a6gPT6SFg7r\nWTqK6620ZtZMIx7tmkazyyHVurl3nryXML8niWxoGVtY1XIZr1zMZdVmUtU7edLjT8JklrFq1W1r\n0yEf1NpCHupyiRPJr5CRZ3DP9+twBE/XthbWz/BED5tjmrrwHXGz63QaviwIYaKPecb+3JzKYOlm\nzZqRnZ1NQYHBcvHLL79Y6ESaIi8vj127drFjxw527dqFRqMRNO8aNGiAm5sb/v7+XLp0iYsXL9o9\n19uN+nSr6/U6m3JaxvNZVHaRpIJHBAH+2s6lNpWTquv3VC/D/NIjzS2ZypLrnMn4EOX+bwG9VUun\n74fzcX/EXP5Ek3GD/MWfo83Own/eYjM2H1cAACAASURBVMSulde5kbiV7VlO6ebZKNq1wWfyW2S/\n/TrS4FAqzp2i0YF4s7amcO6YQUjiT5xauYeyP63L9Qw8u5EL4upjMQF0pSXcGDIASQNfglZvMiNS\npqgL2TRFxcnf0JTmUf7HZ0h8G+Hce+xfrnSDa12vUVH251dozu9G3qYf0pDWaAsy0BVloSvNQ5pf\niE5dqRyikekRyZ0RuXojdvdD4hWMuEEokoBmSIMiaX29DWJpzeUkfz4SzOCYdMD8GjCtr665cQFt\nQTqK1pUJL3Uhm3q9nlJlCjKpJwpZA+GellCxihvqQzzgtowb6iNsUvYmJSVFqP5jDcnJycTExPDq\nq6/yv//9z+45mcKa3uY/Ae3atWPGjBm0adOGFi1aWG1z48YNQbVi8uTJjBo1imbNmllk9FuDkWCu\nWrWKESNG1N/EbyGMcx4xYgTfffedYAmfM2cO06dPv2Xb/Ue61E1RnXv9SY+9fFfYlpUFlVmrk7zz\ncBLX/ubaUvEMJ8o/r3V/e9HwvPnNq5/rMto7jeP0uWV8VvoSr59TIhZJrWe0VyQTETLeYjlYkrko\np5eQICdVvZMNRX3o5DSZaOdpuIrtc7v1ab+H7Sc7mmXQP35PLkpVpkA2PV3b0r9jPCKRyGK+1oil\nozGdaZr9uIrNpUvm5hhqCxuDpRMTE+nXrx9//vknHh4eDBpUvSvPx8eHJ598Ugh6N0Kj0XDixAnW\nrVvHli1bzB4SSUlJvP/++8ydO9cht/zfBb+XPMMDbiuQi8wrrpieU5eLaXg296za1WHUxcppbSxa\nW1/n5NYQj2fm4TpgCqVb56Hc/w2I9KCtJCXyJk0t+kmDQvCbbT20pjKx5gWceoxGc34ONyc9jy7z\nJrLwCPRqNaqkRNQ5MUIfo0UPQOzkREaHpwlY+LTZuOq0a3gf/QGX0ADcm4aBdWENMxQsX4I2O4vA\nr9bcerJ5djvagnREOg1O0U9StvVT1FeOWzZUGQilXq9HV5yNxLcR8ub3IPZrTGR6K+SuDYUHpLWS\nlaYkUZxRM2EwWN0ND+CqLxymkIa0RBpimeltD0rzzpKadYFG/k8Jy/RouXjjC+4pHYef1E9Y3lox\nktaKkSh1RWwufozHhz1OdHQ0hw4dsurS3b9/P4899hiLFy8WJH5qA7lcTk5Ozi1NGLoTaNKkCRcv\nXmTo0KE227i7uyMSifDz82P16tXMmzePnJycGgmnMUnxnnvu+duQzcmTJwPg4eHBqlWrhGdUnz59\nbinZdAR/W8IJtkmnn7QyM9lNFMx477qbwwMkHQVx3lsNH0lL8rQXeNbzOG7iYD7NrZy7Dg1iK6et\nQpWHCIlF/KYtEqfTa9hbVhlacEI5j3TNIZ7xPGqXpdHbrb3w2UURxsPRV0jN+p6jFw3VS9o0epc2\njd6peWfrgBT1dvwkHSyuA2Nt4cTERPbt28effxpi9kpLS3nllVdYsmSJw9uSSqV07dqVrl27kpmZ\nSdOmlWSkefPmLFy40CKz8d1338XJyYm33jKJx1MqKS4uxtfX95a6aIzHxJQU1jZJq41ijAXZNEVo\ngpgW86+xdq3j5USrojrXeF0QfFFilXRIfELweOYzXAdMriSeOkPIhCzcujZnTRCIZ89X0FcoKfpu\nJeVHD+HabwDZ0ycTsvEPgexdfy0D/vpsmmRk+lkWGkaraaPt3n557BEKVy7Fa8KryMKsx6bVF9lU\np8QJuppmUNnWOfZ+7Sez7y1inaBKeLej9cnB0tJYWp4Czu7Vkk17odOpuXLkDVrInsTfs9L1nVes\nQy03f+kNOy8njIVWn646nYbVhR2YNnMiM2fOZO7cuURHRxMYGMi7777L4MGDSU9P55tvvuGzzz7j\n999/JyYmxnIgB9CsWTN+++03oQzmPwVjx45lxIgRBAQEMHbsWKttPDw8+PHHH9m8eTMhISGsXLmS\nt99+u9o68nq9XqhUZxTX/zvAmLfg5eXF2LFjycjIAGD37t13clpm+Nu61E1h7WG0o2QcZyqW09Pl\nY6Kd7asZWx2SKn5mW8koXmlQWOexakKmJp7VhebH0FUUxAveVwRppqoWw8S0+WTm76JXW/MA8epI\nRmLFBiTICJF1Z0m+IQFmagO93XJIxy6OISXzOzo0+ZS84uNcyzaEG/Rpv9fspmwLRhmo2hKhdYW9\naaMYTRunyhJ9c3Mq3Qrff/89zzzzDGDQWJs2bRobNmxg/fr1FhZMR9C5c2fmzJkjvAXXhOXLl3Pl\nyhU+/PBDUlNThfJvYWFhQptt27bh7u7OvffeW+1YVeu91wR7iFp9kFLP12Zz7tw51q1b5/D2q6I2\nVY6s9bF2HdtyqxqhzbuB6vRH6IoK8f/4C4v1juLmCyNALMJz1DiyJk9EV1FB2P44lGcM596UYBph\nSxjeiJp0NAuXPoteeYXgdb8assWttKlPqM7vQVeUWZmVLpZSkbCbimPrcR+5BLGnHyKxFCQSpA3b\nIZKaJ13VhlxWhbUYyvS8bZy8OYOOg49YrEuMVqLX6dBmX0Hs5oPYtbKSXPnh73E9coLmPSpfTPV6\nPZ5n0nBRNEQsqj5e09pvKFNzimTVryRUfEdDaS/OVpjHza9fv545c+aQkZGBs7MzzZo145tvvjG7\nR9QW06dPJzU1VZAG+ifh+PHjDBgwgN9++80uYj5p0iT27t3LuXPnqm1nfIasXLlSiKX9O6CqEeNW\nylKZwl6Xet11ae4CWHv43u+6FID9ZW/WyzaKdClIRbcnuytAGmX2fZjHXib4pFerA3o5/Uv8PXuZ\nLauJPLRQPEkzxWBcxH6ESA1EZ0fJeHQ6dbX9jOjS3PCWeOrKVIFsDo7JxEXRkK0nOqDRWi+zaURd\nyCZAgfYyTeSWLnJjvJKRbM6bNw9vb282bDDUfDZqqlmDPeQmPT3dLMC/JowbN46PPvoIMARud+7c\n2eJB4u3tbZGMlJKSwkMPPWRRPrNEl05BQQFv+Nqer+m66l4grK1bV9iLk+ULbLY3/pli0+wM/Pz8\nzJbV1ippnHt1+2cKe8m3PZYuiU8Ivv97v17Ipl6rpSLhDPJmkTjHdMd/ydfIGjfhxtBnzIimIwSw\npkQhvV6PKnE/Lr36WpBNR7dlL+St7sOp23Ccoofi1OkxFFEP4fHsfBSdBqOM24i8+b3ImnZFFt7Z\ngmzeSmR4pSJVGPY37/p2rp82JM8ILxpaNeV7V6ArMJfyipI+b0Y2AUKSpLg5Na6RbGp0KpJVf/Bn\nyat8XxDD0rwgFuf581vxk+RozhLjPIP+7pZJmsOGDePMmTNkZ2dz7do1du/eXS9kE2DQoEGcPn26\nXsa629ClSxfWrl1Lnz596N27t5BIZAsuLi5mdehtoajIII31/PPPk5Pz95EASU9PFz5nZWXdFrLp\nCO6u2dQBlg8dCSu9PCksLGRC7BWWRtdNrPWyajP+0g41N6xnTPHRWby1WCMJStVNIgKtx2/aA3ex\nQa7lTMVXnDn4FR0jPqex/7PcyP0VhdyPYJ+BFn3EIvPLZ1gPNWm5v3Do/BPCnNycbWcBGmFN+9Me\nIqpFhYvYwEhMz7+fnx/r1q0TNNVef/114RhKpVIGDhzI4cOHrb4R20NetFotLi7V67fawrhx4wB4\n6aWXzJYb6x+bIjw83Gr2Zap6N998k8PcHENBgzd8oUyXw0nlAjZcfIEFUebSO1WPZU0ENG3/ftI0\n+/HvPInfDzamvWI83VzMExaqjlmmyyJ+ZXtYiDCnO43qSsVWByMps1Vhx+5x/tiMrrAAp66Glznn\nqM6E/rSV1O5R6EqKAe8ay0lagzVrpzCGVo2+rABtuXkSxa0gmjXB7dn55L93D3mze+H16ibE7vV7\nUZQVXERVnoVXUOXLn0pTyNHEEbQO+z8qxOnInAzbdPFuhYt3K7P+IpkC92EfmS2zZm1VlWVxPeco\necVxFJWep0R5hQp1NjqditaNZpBddJDC0rOo1HkgkuCiCKEhnejiPJXGsgHIxbW7V9QXYmJiyM7O\nvqNzuJXo168fq1atYvXq1URERHD8+HGb8aoSiaRGUgoGo8SmTZsYMmQIfn5+f5tSlkFBQQwbNoz1\n69czevRotmzZcqenZIZ/hIXTFvbtM8hd9O/fn7k5WPzZizzNJW5oDhLjPPMWzdQSbRWGmJRrGsu6\n51Uf9hWqPKQSN+Ry86QNW9Yoa+jrupiukd8J308mv8ZPR3w5ljSG/eceRq/XW/3RPRBlqIfs4dKK\n45cmCGSzV5utdpHN2qJEd1Ow+BrjFU1JzrBhw4TQDiPZDA8PFzTVXnnlFUGbzRGUlZXdkrJwtiAS\niYT5G/evtWIE6XNeN9tnhciDpvJHmdvew6z/ifIv2F9aGUOa1lqHRltOcsYKyipu1Lj9Yt11DpYb\n5KQ+zRVxOsV6pqxSn4ebOMRuq+SdhjV3en1Ck51F3twPkDYMw/lec2FqaUgo5ScMSTWm5Nb4Vx2i\nm2TWYOXUg0SGviRXsGjWF9m0Z36mEEvlNJgVh7ztg+S+2w1NWSEVCZbxZKbnorzoCqV5Z83Wq8qz\nSNgxlJJc88plFSXX0aoKzNzpcqknPdv8SkWXTqjKbiJ38iMxWsnVPn5c7eNn9bzrygqoOLeL0q3z\nSNwzivjNPTm2tilHVodyZHUIp3/sRuL1uZRVXKOBZwydmi7koa5XQCQmLfcXvF3b0a3FGh7tlsHg\nmHQe7HicB9y+orliiFWyebs1c42JWP9kObcnnniCX3/9lQkTJhAZGWnTZd64cWPy8+27hh9//HHa\ntzfkKtiKEb0bYQxr+v333+86JZV/jIXTGowXy6VLlyxK5oH5D7+6h+Testfxl0QRIqtb8LYjiHGe\nwdmKFRwofZtGXpZVRUzjH3d5rsLbrW7WV2exD6G+QziT8n+Uq65brF9/QIqnSxvahc/G3bkZHi4G\nC4qPe2cAisrOU1RmEMZ9tOt1nBW2pT5s7YspTC2d1qyeyRW/4i1uLny3dhOPi4szE0i+fPkyYrGY\nuXPnMm3aNAYMGEB8fLxDbodDhw4RGBhYc8PbDIlITqC0k8XyTs6WElkikQiFzM9ieXLGSvJL4q2O\nfz78AuTChesf0T58joVUklJfgLs41GrfWw1bme21sW7WF3LnzAAR+H+2xCJLXN68JcU/HsH96SF2\nE7jYKwEWlk3T70ZobyaBXodIYTvJqzaoi7VX0WEgyuM/ojm/F3XiXhSt+6LJSqZkw3Tch32ExK/y\nxbQk5yQgwtWnUu9Y5uRLy/vXIhabl+L1Dr3f8KHKM9UYOqEuz8LJvxvlGRdRp55Cm56IJvMyutzr\n6Ioy0WtUAIgkUsQeAXiKG6PwaoFv40dw8+uKk1tItfqa7s7NaRo0gUb+lUlTVY0Bd0tBhuDgYHbv\n3m133PnfFffffz8ffvghGRkZZmWNjXjrrbcoKCiwygesIT4+HrFYzMqVK3nppZeIioqqsc/dAGM5\n0xYtWtxV1tl/tIUTYMoUQ43v+fPnV9uuOstnhb4IT8ntrZ/qITG4RW9qrciL/AXjze1GzmbaVgyx\nut6hGEm9GrnMm/aNP+Lelhu4p6V5Akhh2TkOJDxG7MXxJKbNo0JtOFhBPgOENk/2UDlENu21wFZt\nn6bZR5A0utq2IpGIlJQU4XtJSQlgyCrX6/VcunSJGzdqtvKZ4tChQ0I24N8VmS1ldMscjIsixGx5\nRNDzdG62yGofqaQyAz80QUySahN/lFQma6n0RbiLw9hf+hZpavPMzmLtDW6oD9frjc8R670RpuSh\nPhJVbEGdepWyXdvwemkyitaWhSLknd6mIv63WpO46CaZVi2derWSwq9GIw1uiSLa8n7gKFzvycc5\nKh15SLzFuVMeXY/q/B6zZeprpylY+CS64lyz5drcayCRgUiP+7OG+7DUPwKvSesFsmm0PPo1GYpf\nE/O5i0RiC7JpCiPBTI/UcoKviV0XyZHVoeTf2E3q+bkULhxG+f6v0RakI23UAddH3sLn//bjNy8Z\nv3nJ+M69iM87+2ndbwPhXd7HN/xxnNxCbG7PCHfnphSUmOdHVL0m7xZrf6dOndi+ffudnsYtxcWL\nF+nbty8bNmygX79+VtsY9Zhzc3Otrq8KkUhEQkICAB07dkSrrbviwe1A+/btueeeewB48836yWOp\nD/zjCacxWcNIPO1BVde7GAl67py1RKe3fZGntdZRUHoajw7DBXJZ20QcmdSDvu3+pFfRRBr6DSHM\n7wm6Rn5L77Y7aB/+idAup/gg6EGtMVRt6NHqZ2FdTUH19YUszWnCZZZxpVVduo0bN+brrw1B+p6e\nhpAD41vqyy+/bLOkmS2cOnXqjr3l1qe1xJ6ELdMkm6rkNFLxBAPdKkMw1PpSPMXhtHMaRwOJuaah\nUp/HDc1BC4vCzpIJnFN+Z7bspuYE20teQKUvNp+v+gDZmjPC3AG0OhXlFRlca6UyO++2MtQdQV0s\nesWb1iFydqH3q/datUJK/ZsgDfAif+kXVtcbYSSWxr/q4NIli7Kt49HlXcX/809wv1+PS0we6tR4\ndEXm8Xvq5GOU/m6pJVr22ygoXgNU7r/qUiJF61aZ6ZMCSPzCEfua/3ZkYe3xenkDYvcGZsudOj4C\nqnKkwTZEUf9CYrSy1qEOxmu1KPMwnsG96frMNXyXZuD3eSoNPjiFz7TteI5ZhtvAKSja9UfsYW7h\nt/YCUlP1IE/XNhSVJVosr0si5K1C3759iY219JT9U5CdnU2XLl2YNWuWTbIJCImNpoaImtCqVSte\ne81Q875Zs2Y1tL57cOCAocrfJ598ctckPt19v4x6hlQqxdXV4F5KTU2t1RgixOirIX23Ct2cDbFz\nF1Q/2GzjfSYHnVZJ44tuFuscScAxtpPLvJGLKrO4wwNGEOjdl+KyRNycIhCLZEjETpxKeYPYpDH8\nebovhWXnEIsM2adlFY7HRVYHW671Mn0WwdJ7zNqaEk3Tz6NHj6Z1a8PDbsSIETRs2JDJkyczf/58\ns6w+e3Dp0iV69epVc0M7cOrUKcHqersQmiAWHqT16XLWo0MqlrM8vwnOYnPC4Sdta1WarJ/bUjNJ\nKwA/STu6u8xGhrlLuEJfRJk+22zOqaHXOVY4k/KKDGHZG75wvPxTzlydYd5fncf+c49SnG1ukVIe\n20DJT+9ZzC1/6RdUnDePJVSeiadgxVKLtoWrv6Y81iC9E+WfQumGVTR+si8XP/8erbJCaFd62Juc\nub+DcgOB366naNVKDh+XoL5xnZzZ76DJMieVFz5bxdn3l5nvR04BB4ZMJi8+0YyIFq5aSemWX/Ce\n8jY9BlVe/BWn/kBbaJ6FLW7QCEWHh8yWud6Tj9+H83F90Fz1waldFA3enIGoStiJLCIaqb99Xh/V\n1Xj0FaVIg+x7WNclvtbFsxn5zlkkdVPVegywr1RlA/doSioqiYvDHqXbiEGDBnHlih0VA/6maNiw\nIcXFxRQWVi9baEwmMlYfshdGD2lKSsrfRl5KLBbzxx9/AFgoiNwp3J2/jnrG/v37AYS6qI7Co0UW\nfUb73/Z4nC5OBmH2g2W2qwQkqtYSKjVPSqiL3JCtfh2afMKDHeN4soeSh6OvEtrgMQrLzpFVuJeb\n+Tvp1dZQ2nL/uUdqtV1HoNNpECES4jPtkQY6e9ZAHtasWcOePXt45513kMlkrFq1yqFt5+TkGPXG\nHIJpVru3tyGJIyoq6o7HVFX3kLT10LVFVOvj9yERyXAVB1iU0oyQD0LSwbz8apP0CHr7f4Wrk3lW\nflDnybRr/L7ZMoXMh55tNuPuZ65vq+j4CC79zeNcXWLycOneG2mgeWiINCgE55juFnN26tINWaNw\nmhXtZ88DL6IpKaPZi08S2C8GkbTyGLrek4/H482RN49E4uGJ8709Kfp2ORJfPzzHjEfi7WM2bssp\nI2k7Y7zgOo9WXKdHSDE9Ns3DJ6oyC71L+E3cr59A0cCT+6b2EZaLRCLcHv0fsobmbn2JV2C1lXWq\nZs6bJh/VJgGpaNlzeIz60qE+tSGdidFK8ro2RZefUXPjamBvXXQfj2g0ZdnV/obulhhODw+Pf2TS\nUF5eHs2aNaOiooKYmBjefvvtatsbDQxGb5cjMCYbPfvss3YnHt1pDBgwAA8PQyKp0dN3J/GvIJzG\nbOULFy7UKo4sOTmZwYMHA7XPdK8NFGLDj6JYZ9tqeFn1C83llqW96qpxWRVymTcyqeHCdZL70b31\nJlqEGgjx6ZS32XPGUIe4oPT0LQlSNiU5aZqDuIjM49dqipUSiURcvXoVMJT6kslk9O7dm7fffpvN\nmzc7NJfaaJs1aFBp9TOV7CguLrbW/JbAGF9mfEBWlaK6m1HdHE2vc0f3RSRzQuxiXiFJJBKhaNse\niY+5pVbq5281JrPHwAbcEyMicd5qii6k0OOneXi3b06Dzq2Iu2YeiiCPaIYs9C/R94ceo3THH4gV\nTsiCQxHJzOMUBaJZgzv9+o87ufbjDjp88jpS50rXcG2z0+tTQkmn0aBXFqNo9wAARatfRae075o3\nutjtIZ/GNpLQtuiKHZMAMnWn20s2AaRipzsaauUo3Nzc/jF6nL/++iujRo2iQYMGXL58WYhRFdso\n4wqYWUBrI2vn5eXF2rVrAUMJ5L8LjBWHnn/+eSoqKmpofWvxryCcAK++arBiLFy40KF+WVlZlJeX\nC+USbzcUIsPDUK23XiouV3uelopnzZbdLtdOcsZyG8uXWV1eX7iq3u6QJqrR0tmoUSP6uhqSYtzc\n3Gjb1kAejNdGTcjKyrJbx80II/n29fUVLAy+vr6UlZUJnx3Zj1uN2pcB1N+y+dlLImtqZ8++ORq7\naSSDpakZXNu4k+avPEVw/3st1lvdVu/7kemVtNTHWcRpWiN9sRUNia2otObqdTouLlzLsXHv02H4\nvTQa3t/Q7kqAw6SxaqWjFrFO9SKpVPj5o8jbPiB8V3SsnQekOuJpulzqE4JefWslr4ww3mMduR/c\nKXz11Vdcv36djRs33ump1Bndu3fn7bffFmQPjx49SlxcXLUFPa5du0a3bt0AQ9JobTF8+HAhjvOV\nV16p9Ti3Ey4uLixaZHjuhYffOqlCe/CvIZxz5xqC5O0lF0Y0aNAALy8v5s2bdyumVSN6uHwAwEml\nJVEu1+aDXmSm9XY7Y4geik7iie6l9OtwhBahlTF6cZdfqqZX3XFVcdQijMBeRDm9JIjcGysSFRUV\n2fXQ0Gg0uLm5ERQUREBAAI0bN6ZXr15MmDCBFStWcPHiRYtxjFUt4uPjkf1lwfL19RWCuB0hnHWF\n6YuIqXXedLk9Fp6q11i5Lk+I4b1bsnKroj7qaVeFkSDq9XpOvPoxCj9vWk4Z6VB/10ZB5MUZ5MRM\niWJNxFen1nB01AxOTZtPxPODabr0I0QiUa3IphGm/a6/Vje3tPr6OXLeagMiMe6jKuNeFa37Inay\nTQxqQlXSWVc91dpaN42/AYXIm2zdGatt7hZ3OsCiRYvo378/J0/arDr4t8CBAwdITk4mISFB8FhV\nLZph7V5eXFzM+fPn+e6770hMtEz0cgTG/gsXLqyxRObdAmOhkYyMDP7801Lb+3bhX0M4ZTIZCoUC\ngOvXLXUmbUEikTBr1izmzZt3R8zRbRXPA9bjOA+Xvyu43esLjkrNSMROuChCScvZZLY8q2B/vc4L\nKklDcfklIhSOW0qMZGic11UAvvvuOx5++GHy8/M5evRojf2Dg4NJSkoiMzOTzMxM9u/fz/PPP49U\nKmXdunUMHDhQIKNhYWHExMTwwgsvWMQO//bbb0J2vCOEs65hHKbn1p6a7Ov22/cALtJdRY5l0trt\ngq2a6aZ/9Q1Ta2Tq2q1kbD9M9Jf/h8zDvuNg7K9TaZC6OQvu8/ueTbQrMz1j+2Gu/biD4Id60vGz\nKZxID6sT2TSippru1UGTcZHitW+QM709hQuG4vrIdLyn/Fatm7M2sMfVbs8LZF3JJoCnpBEZ6mN2\n971T+Pbbbzl69Cjnz5+/01OxGzqdjv379/Piiy/SsmVL/Pz8GDx4MB4eHkJoQNWsca1WyxNPPGEx\nlvF+O2jQILv0N6uDWCzm1KlTALRt2/ZvYeGGStd637596zXs7Q1f+LxPze3gX0Q4oVImYNAgy/rb\n1WHixIk4OTnx3nuW2ay3OpZT8pflyFqsUIbmGK3k9ltU7IWjLnmZ1JN+UXGIqLS0/nmmD0pV9bFn\ntYVOr8JV7F/r/iKRmKSkJAChdOT3339Peno6b775pt03kLCwMEaOHMnChQvZtWsXycnJAhmNjY1l\n6tSpBAcHI5PJaNOmDf7+/hYP36VLl9KmTRt27txZY1C/PSSxOtg6r8bxjOseiIrFyd3c9VId+SzU\npgqhH/WN2rjTbRFMU6JijazYQ7BMiaBerydp0TpOvPIxYU8+QPAAy4SiasdSXCc41JXLyzbV3LgK\nUuSGohbFzqEC0Sw97F3ncpxV+9s7Xsnvc8n/+AH0qnI8nv8K37mJON/zdJ3mUluIFK7ocq7ekrGr\n/n68xZFka09ZtLubrJtgyGOQSqW3NWbcUSiVSr7//nuGDh1Ko0aN8Pf358UXX0QsFrNixQpOnz5N\neno6ubm5Qp35qsozEomEF154wWyZTqdj2LBhZoo1dUX79u0ZP95QSrpdu3b1MuatRmBgoGDp7N+/\nf72N68i1/q8inF26dAEMGcuOMHyxWMysWbNYsGBBjWTkVtxofCSGjNRSXZbZ8iLdVTo5v16v26pN\nIolU4opC5oGLk2kFHj0Z+Tustq+L1alcdROxSFGrvqb4KqYZLeXPCN8PHTrE2rVr+eXzFCG+si4I\nDAxkyJAhfPjhh2zevJmzZ8+SmZmJVqtFrVbz008/CW0TEhJ44IEHkMlkuLi44O/vT/Pmzenduzej\nR4/mk08+YevWrbyZWL8Xl7VrNTRBjI97J6KHX6TnCyqa3rsIzyDz8IVPc0V8mivilPJL9HodJbob\nOIlvf61ua7B2XdmTeGIv2TTFKUncCwAAIABJREFUpaUbiH9jHqGP3UfnxbaVJGxZK6NzUhj29Utk\nHjlHyR+/mq9TXLf4A4PbPfZKALkfzEQa1hjvV9+oU+33quUqa2shLd+1mAYfnMXjuUXII7rabKcr\nzkF97dYmrog9/NBcP1ttm9pYN629rPlL2pOvTTJbdreRTSOkUikSiYS8vLw7PRXAIDH0/vvv06NH\nDwICAmjUqBFLliyhbdu27N27l5ycHM6fP8+SJUvYsGEDISEhDBw4EE9PT+Lj4/H390elUjFz5kyz\n53lVMrVs2TJ2797Njh07cHKqv4IPX35pUF5ISEj428TGGmM5d+zYwYULF2779v9VhBMqYxmWLrXU\n06sO48aNQ6PR8PPPP1tdb2rprO8bTg+XDwGILf9QWKbUFQAiq7V66wO1iQXt1+EwQd6VP/a84hP1\nOSWCL0pIz92Cu3PTesmsHuS+BoXIEJJw+vRppk6dylX1dtzcbq17WCqVMnjwYKKiotixYwd79uwR\ntlleXk52djaXLl0iODgYPz8/jhw5wjvvvENUVBQBAQEEBASwRhbEN/mt2FB4P9uKx3C07EMuVWym\nUJNq10uRsf581WVzcwykLTFayYX2eRTe3E/7h3YxvKeWx7pl0FpRqZu5q3QCn+VJ+LPsZYq0qTYT\n22qLuyV7viphVOUXcfp/Czn15uc0HT+UriveRebm2O8w9koAi9x78nVGb/xmz0W1yrYIfHSOpUi1\nKvE8ztExKC9EAJVks7aEsTqyal+ddxFiF48at6MryaUi1nGLriMQe4egybCvhnRdyCZAsOweinSV\nVra7lWyCIZ48MjKSLVu23PZtazQaNm/ezHPPPUdkZCT+/v707t2b06dPM3bsWFJSUsjMzOTQoUPM\nnDmTkJAQpkyZgkgkon379oL25e7du2nfvj1LliwRlr3//vu0atWKdevWoVJZ6q+eO3eOkJAQ7rvv\nPot1dYWxYtETTzxBUVFRvY9/K3DmjCHmuFWrVrd926L68uWLRKKOwIkTJ04IMkR3I1QqlRDL6ei+\nP/7448THx3Pp0iW7pHHqK4FCr9fzWZ7hhje1gWHOJ8oXckX1G094Wrci1hW1fdjHXhzHlcyVwvfm\nIa8S1eRTRCIx6ZFaA2n8639tcCRxBC6KMNqHz3GYFFsTwtfpNczLM5ejOXDgADt37uTmzZssXbq0\n3mPQjAgJCeHChQuCTpper2fVqlWMGjXKou0vv/zCo48+Knx/3UdJtvYsOZoz5OoSKdReoViXRrk+\nG7W+VGgnESlwFvniKg7EXRyKp7gJr65uRosWLYiMjLR6HfcapxY+m9ZMD74oEY6dRq/kWPlHHCm3\nDDNpIX+K+1zn4yoOsFjnCGpzDRrJsiOojkhVJYEZ2w9z7IX3UBeV0mraKFpMfQ6J3HbZRVOYlqI0\njht7JYDGaX9wcNg0Hkn+nXu8bUv6LLrQWSCUebPa4dKrL04955vtgyOEs+p+2xu/aW0beR/2RRrS\nGo+RC6rdpvGeW9c4uupQsnEGuuJsPEZbNyo4at2s7j6j0+n4siCIiT6G83k3E86AgACee+45bt68\n6bD+sKNISEhg3bp17Nmzh8uXL6PX6wkLC+O+++7jySefpHPnzjb7bty40WocphG9evUiKSmJ9PR0\ntm/fLlg0XVxckEql9OnTh9LSUkaPHs1TTz0lhD7Nnj273vcTDLkAxnv23VS3vDr07t2bffv2MXny\nZD777LM6jfWGL2RqTrK6sBNAJ71ebzMz7V9HOMFgYdJqtaSlpRESUnPNXCMKCgpo0qQJ0dHRbNu2\nza4+9UU6P8013KCNhPOb/Da0Vowk2sWygkt9wKjX6OhD/0rGN8ReGmu2LNhnED1abyajha7OhHNr\nXHs6NV2Iv5fBzesI6bRVeSlHk8C3hW2s9rlx4wbBwfbXhncEAQEBZGZat2qp1Wpmz57N+++bC5iH\nhobyyy+/sO5B+8TnS3Q3ydUkkKu9QIE2mcaDrnHz5k2ys7O5cbkYMP7+9chErihEPkg8/HCSB5DZ\nOQCJTyiN8yJx9mhO4+uhhF2wJKg/Fz2KBCeS1Bss1gVLY3jAdTm+0urLGlZFbckm1Jy5bK/ruSrZ\nvP7znxx5djqB/brRZcn/cA52rHpH1drnptv5JexBHjiyit5NKi00sRUNzfqYus5vPPkQilZt8X33\nw1pZNau60R1xx1vbnk6jIfeNpnjPPILUK8jh+dQFRgJpPO/lB1ahjN2A95QtVtsZUVeyacSSvABK\ndbcmXr2+cPPmTaKjo1m1ahUvv/yyUAijPpCVlcWGDRvYuXMnJ0+eJC0tDbFYzOOPP87DDz/M0KFD\n7da9TElJoUkTQwWrhQsX8vLLL5utl0qlrFq1iilTpnDq1Cn8/f35+eefeeqppygsLGT69OkcPnyY\n4uJiEhIS2Lp1KwMHDiQpKYmmTZvW2z5XRWhoKDdu3OCNN97gk08+qbnDHYZOp0MiMVz/WVlZdapE\n9B/hrAFHjx4lJiaGqKgoh2UiEhMTadmyJQUFBTarFdREMk3fgu0lpBsK+3JN8ydjvBLxkUTyea4r\n472usyjf55ZK0Tj64Nfr9Rw8P4QbuQYxdZnEE7W2kE5DT+Hq3apOhDM9Usuxb0N4tGu6YHW0Jvpd\n3UPCliD+obJ3rVrrnnDfxYaivg7P1Rq0Wi3p6emoVCpKSkro16+fIM1UHQoLC5k0aRJr1qwxWx4q\n7clAtzV4SBra6FkJa5YX0+tGp9NRrLtOni6RAm0yN3yukud0g4qyDESF+ag1BehV5Sa99YiRIRe5\nU6y7gZckAn9Je5zF/qh0RSSpfkSJeayYmziE/q7f0Fhuu9axrYzzqjBeP1XX2SKbjhAqa67t7MOn\n2f/oqwQ9EEO3VbMRSyqvX2N8JWCmk1kVtggnQNpjD9B24iM882o3YZw9a1qYtTHdhxvd2+IybBTy\nTo5bbepCNo19rCF/7kCcug3HuUf9JzJagymBND3vqisnKP72RRq8f9yinSlqugfVRDaNvymjesWt\nDsWpC1asWMHatWvZvn07wcHBdt13rKGoqIhffvmFbdu2ERcXR0FBAXK5nFatWuHs7Mz+/fvp2bMn\nEomEgwcPkpuby1tvvcWcOXPsGt/V1ZWysjLi4uLw9PQUstDFYrEQKqTX6xk6dCgtW7Zk1qxZaLVa\nXF1dWbduHY899hhgCJmbPn069957L/v27bvlyVJarVbwFl24cIEWLVrU0OPOw9Q6XFceONLLPsLp\neMmUfwCMArDx8fEO942MjEQikZCWlmaTcFaNjzNdbm/bqujuMocfimI4Uf4F/dyWIEaKTHRr4jfr\nApFIxD0t17EzvisFpWdQaw2VHfQ6tXCDr61103jDqa2LuzryfK/Luxwpfx/Q40YoJRiqO51WfsnV\nqxE0bty4VtsEKCsrY+TIkZw6dYrk5GRhuVwu5/Tp07Rv377a/p6enqxevZrVq1eTkpLC008/zdGj\nR0nT7OergjACJJ0Z4XXcal97rq9Kot4ITxqR1lqHOlKLPxD9kwxsxNkrdUUU6q6QrT5LhT6fMv1N\nSnU3Kdfn0kDakgpdEUp9LmX6bHSoKdHdYGOxQQTcWeSLWO6GVOKKVOKOTOKBTOqJLMkTZ3kQbRu/\nW21ima3kIGuoK9k8/tKHXF2zhQZd29Jl2Ts2yWZd4PHks5zfsIPYFw2uxD1rWgglJl3vyTebV0FC\nMin5RbgHWre868oKKVw8HPfnFiH1j7C5zdpYRqvro829hizSsUx9YdxfPwSxBNeHbHtsbBHHqpCG\ntkZXWlBt+7qSzdfPpBMd/Rhr164lMDCQI0eO0K+f7RepO429e/eiUCgE96lGo6kxLKykpIS1a9dy\n4MAB4uLiyMnJQSqVEhERQc+ePWnevDlPPfUUkZGRbN68mXHjxrFlyxbuvbey8MG5c+fo06cPjRo1\nYty4cTXO05iwOX36dPbu3QsYQpz69OnDgw8+yNatW0lLS2PixIm8/PLLzJo1C4lEwmOPPcbYsWPp\n27cv7u7uTJgwgTfffJPff/+dGTNm1PKo2Q+JRMLx48fp0qULLVu2/Fu41h988EF8fHzIy8vjyJEj\nxMTE1Hqs1/6E1XY43f6VhBNg3759xMbGOtxPJBIRFhbG+PHjOXjwYL3MxR5SECzrRjfnd2itGAFA\nC8Uwfil5lPlst5u01ga1catLxHL6d4onq2AfZ1PfI7twH+d3DkMcMJWmwePN2jpi7ZTHHUMh86ux\nnz2WTmt43UfJ1pJR+IibU6BNIVm8nqSKjYSHb+STTz7h8ccfJyLC9gO8KjIyMvj0009ZtWoVOTk5\nREZG8vnnn/Paa68BhnjiDh06EBgYyJgxY3j33XcFcXhbCA8P58iRI4DBUv/oo4/StNhSk9TUkmvL\numntujE91xmJK9ndI4rIvC5Wj6WT2AMncQcC7Kz6VKrLZG/pFK7od3Bfu31IJC6UVaShVN+kQp1D\nhSoblSaPxLRP8e73NmIHbk9VyWZtMratkc0Tr33Cla8NiYI9fppnlhzkKNk0jdusCnm7DhSt/U6Q\nOLpn4DHk3h50bRlHdE4KsYpwYisaotNq2fu8oYhFZMpYLocYiJhx//V6PTmvGqys+tICq/Ooz9KV\nRuiKstGrypD6N6mxbdHq1/AY8XnlfP74jNLfDAmRVQlnTW5way8eYrkTUpXtB35dyebUhEwCAw2h\nWBUVFYSHhxMXF3dXE86zZ89y5swZtm7dSrt27di3bx99+1Z6bnJycti8eTO7du0iPj6evLw8JBIJ\nubm5vP7666xcuZKuXbsKL/sajQaFQsH8+fOJiIggJSWFd99914K0tGnTho8//pgpU6YwZswYu8sC\nl5eXo1Kp6N69O87OzqjVanbsMOQriMVi+vTpw82bN9HpdIjFYlavXk3Lli3p2LEjp06dwtXVlcmT\nJ+Pi4sK0abcm7KwqOnfuzJw5c/jxxx9vy/bqA2lpabz44os0bFizl6w+8K90qdcVnTp14uTJk9y8\neZOAAOtuMnstnNW1rw46nY6vChvxzfr5DB1aWUv9VhDPumQLX0pfyonLk4Tv7R7aTaui3sJ3Rwjn\nmZT/o0SZwj0tvxf61VRH21GXuzAv9VFS1bvJD/+Bmxf15GkNEhLNmjVj3759+Pv7M3fuXBITE/Hw\n8KCoqAhnZ2e6d+/OY489xrlz5+jZsydqtZoePXrwzjvv0LdvX1JSUgTSGhoaSlqawZI6adIkQbIC\nIDMzE39/+7RGqzvnpqTSeP2Zfn+ql/kxMSOceTvwcm2DsyK43ipY2XMtbToeRMyzaTW2qw+LJtgu\nP3l6+kIS568GYOC5TbhHVN6UbZHN6lzqZu2qkE5Nfh7pQwcStvsoja5tIXbcLCJffYYFIw3xkLG+\n4RwtCWLn2z9SsNiQKNRpyElcfSpjjxOjlWRPjkBfnI28XX+8XraMqa2KusZuGlH49YuIZAo8RnxR\n4zjlh3/AqdtwRGIxypO/UrTUUJrXd0EaYmcPu2Mtq7OAH1kdSswIy2uormTzzcQcId5t/vz5vPba\na8yYMYPk5GQha/puhFgsRq/Xs2XLFjZu3EhycjIeHh4kJCRQWlqKTCajefPmdO/enUceeYROnToh\nFouJiIjgjz/+IDIy0my8J554Ar1ez4IFC0hISKBt27YEBgYSGhqKWCzmiy++YPDgwUL7Fi1akJmZ\nSffu3Zk0aRIPPvig1Xn6+vqSm5vL3r17WbRoEZs2beLkyZNERUUJbYycpVOnTkyfPp0hQ4YAhtCj\nqKgolEole/furVMJy//gGE6ePEmnTv+51G8JjCRh27ZtPPfcc1bbOJqt6IiVskCbgpcknCHuWxk/\nvhf9+/e/ZfFDdZWmCfIxVNnxDu1PUfoByk/+BE17C+ure5iYrkuP1HLj8lH8I58we9DUND9r66su\ns/aQCZZ1I1jWDTL/B16wt/RN4pSfCHJFVREWFoa7u7ugzWbEoEGDuHLlCj169EAkEpmdJ+N1BAYB\n+rCwMK5duwbgkBZoVSJphFKXzxu+lSTBaNWsCtP9NzsWrStrYNuKfa0K02NbG+t4eqQWrEQH2JN5\nbos8VVexxxYuLlwrkM3uP35qF9msC8SeXvBXGVTvDi0IH/EQAfd1ZpF7BIePQtHPqZT+9jKaq/Eo\n3CNo0PBBnD2bCzHRAMU/TEFfbMhyt4ds2gN7Yjw1WVdQnf6dBh/al4hiFIRXp8YLZDN6+CWczpq/\nYJn+/h29lkRiCRpVCVK5m8VYtlDd9T03B/Lz8/HxMZDNjz76SPBUdOrUie3bt9s9t9uNhIQEgaQN\nGjSIoKAgQf/yiy++qNZr06pVK7Zs2SIQznnz5jFr1izc3NxISUlBKpWa3Q81Gg3r1q1j3LhxTJ06\nlUWLFjFgwAA0Gg3r16/n9OnTDBkyhCtXrlh9oT59+jShoaH07t1bWGaaODRhwgTh8/Dhw1m+fLlA\nOD09PTl//jx9+vShRYsWjB49mo8//vi2lg/+D9XjX6fDWVf8/PPPZGVloVAozN7STp48yaxZs7hx\n48Yt3b5GX8GeUsON7tuCNowZM8ZsHvWpBVofOohuTo1p3GUO+WnbkIidkEpqX+lBWXiJBo0eqvOc\naoMm8oFCgLVEYv7w+vTTT7l69Srnzp0jLi6OFStWCOsmTpzIjz/+KLjK/f390ev1FlmBqampAtkE\nuP/++4mMjCQ4OJj77rtPKEsGBle8SqVi9+7dLFu2jNmzZ3P69Gme3hlPXPl8dHotRdprLMr34Yxy\nudl2TEmp8bOt81z1AWxaGtNWCdSaLM7VQXiRqOJ0qQ3ZtKc8pDXodToufLaKU9MMVsRGzw4i5KFK\n4fuayKa9ZNSm5maTTORe7rR5ZxyerSLYs6YF6U+PpHDBE8jzy2j/0G4858Wjef0jkmJ0wjHLSfmZ\n8j2Gc+33pf3C3o6413U6HTqV+bmouLCX/A/64DbsY8Qu9leb0uankz+7FwAdHjmAk7uh9GDwRYnw\nZ0RtXlykCh9K884IY9aEmshmYWEhPj4+ALz33nu8+eabwvqYmBiz3+fdhjZtDFZwo/5ix44d+eWX\nX5gyZUqNIUI9evQQKvRdu3aNWbNmceHCBa5fv27VPa7T6ejduzdJSUksWbKESZMm0bx5c3Jzc3ng\ngQd44403CA0NZcKECaxYsYKSkhLA8PKt0+kICQmxIO+moWsjRowQPk+YMMEiD8PJyYnDhw8zadIk\ndu7cybJly+w9TP/hNuA/C6eDiIuLAwwP/YSEBAIDA8nLy6NLly74+vrywQcfCG9p5eXlNGjQwO6x\n7bFyipFwv+viSmI5dy4RERF89dVXQlD23aYFV5pkuIFotKVotKVW29hyrZtaM3XaCuQugRZtbgfC\nZL2YsaGjULYyPj6eH374gfT0dKZOnUpqaioLFiygU6dOdOrUieeffx69Xm9Tb1AikXDmzBmSk5PJ\nzc3l0KFDNGvWjD/++IODBw9SXFwsZJJmZGQQHBzMxIkTadWqFZMmTbIY75133hE+e4obk6+9DMDh\n8vdoqXiGZNVvJKt+Y5D7Gou+jsL04W/N8llry6YRfx2y2lo1a2PRBCi/mcPxCXPI2HZIWNZt+UyH\nx6lKOqtzs6uvpZL58lgQi5E7VR5Ho8vd9Z58sv+yWpZrsjh3dBi+D3+GXlSpyVpeeJnzu4YB0GDu\nRUQS67d1nUaFriADXeFNdEU56Iuz0BZlU77vBrqCAnSFBeiKi9CVFKMrK0NXokIs05GjB9CjV4vR\nV5Ti/dYuZA3boLlxnqKlz+IxfhWK1nYWUwb0FaXkTjNk8bbosxqPAENloppish2B3CUQ2YXzBBf2\nsNnGHov93BxD8oyXl4FMT58+3SIJxd/fn4qKCofneDtgLFQikUho27atw/0HDRrE8uXL0el03H//\n/cyZM4fAQNv3YNOEzgcffJDk5GR+/fVXoYQwGAjkF198wQ8//MC0adMYN24cCxYsoGnTpsTFxfHA\nAw+g1WqZNGkSX375JU8//TSXL1/m2LFjXLhwQYgTdXNzQ6FQkJKSQni4eSne5cuXo1Qq67WE43+o\nO/6L4awlxo4dy6ZNm0hNTWX+/PksXryY2bNnC/VVjfj666957rnn7M6sttetbkoqU1JS6NixIxcv\nXjRzU9RXPGdtNRGNDxCNtpyS8qtsO2l40+7cbBlNg8ZW2xcwcxeqyrI4+XNXuj2TUmctz6pwJD5x\nbo5BGsTNzY3i4mIGDRrEoUMGgvKKTxFykbtdhN+WBmdcXBxFRUVMmzaNEydOEBISgqurK2KxmMTE\nRJvjeXl54enpSWZmJm7qppTpsijTW0qfjPdKw11SqT1bNa7V9Hu6+ii6DtHC95osmlXHtAfW4vCO\nrAnFe8HlGvvWJ9nUqtTseXACRYkpqAsMEipPFB1GLDMnb7Vxp9sinAUJyex6eCqoVOiU5ehVFTR4\nZxbS4DCae2dQdjOPi39eRrMzDpW4DF2BwYomi2iOyLMF+ooynHPKKMo8DIDIMwCRSIxeZ3JM9XoQ\niUCvR6wAFE6gd0Xk5I7IyR2xixfyCGckXj5IfP1Q5zbGtacHFTdaIvYIwL17oZkVVHnyN4q+Hof7\niAVoUk6gK8vHc4z9VqTIY3IOrDDEaDbq+A6NOhlelBz9LddUGvfi/vF4lnjSMcK6qLW9ZLOsrEyo\nv12dSHZ1mrp3EsYX3j///LPWlXb8/f0JDAykadOmZiV5q+LYsWM8/fTTZkocNSE9PZ0xY8awZ88e\nVCoVI0aMEETpy8vLcXFxIS0tjdDQUACGDRvG6tWrBY/RqFGj8PDwYMEC84IDrVq1IiMjg6CgIM6f\nP+/oLv8HB2FvDOd/LvVa4ssvvyQgIIDw8HBWr15NSUkJ48ePp1+/fgQFBQlu1zFjxiCRSHB1deWl\nl16qUS6hNtbJ8PBw3n77be6//36gfhOHamOpqkoGs1rJ0elLEYvkAJy4/BIpodeE9tWNZUTutd9x\n9rx1wr1g/756eHggFovx9PTk4MGDqNVqsrOzkYvcgZqPf3WlJzt37kyfPn2YNWsW7du3R6fTkZSU\nxMyZM4WKRNZQUFDAzJkz6du3Lznac5Tps2ggbo2PqKVZu2UFoRwv/wyN3tIiU3X/j5YbtPOMD+fQ\nBHG9JQ8Zr5Oq0Ol0aGoo3GOrzGJtyWbJlTT+7DuOvBPnBbI5KOGneiGbtqDX6zn3/jJEYhHB6zbj\n/9ki0OnJnfEWmWOf5sjI/+PEpDmUbFqPsigZSWBzxJ4Gy5I8sgXSRlEoOgwSyKbi3hF4T9uOz6wT\n+H12ufJvXjKNjxyn8dE4wvbFEbbjIGE7t+Pz9m68X/8Fz/Hf4jvjA+Sd5+Dx9HM4dXoMbWkfPAc6\n4d690GLeTh0fxvvNnRSveQ315aPo8iwTcypObyX/04fQFZvfzFrEOglk08W7DTFu71q4z+1BTWQT\nIEDVnFKlZUlQsJ9sKpVKgWxOnDix2ooszs7OZjHZdwOMbv8OHTrUqayjXq+vkWwCvP7660ydOtWh\nsYODg9m2bRszZxo8CaZV1pydnZFKpaSmpiKXy3n88cdZv349crlcsFy+9tpr/P7772ZjpqSkMHjw\nYLy9vblw4cLfpuTkvwH/Ec5aQiqVcvbsWSIiIkhOTqZt27Y4OzuzY8cO0tPT0Wg0XLx4kbFjDZa8\nsrIylixZUieJBtN611Uxbdo0xGIxs2fPNovjvJPudVNSoewcRe+2uwDQ6zVkXV5ns481FGbsx92v\ni1kbex489qKm2EQjrJFJqVSKr69vtefHFCkpKTUmeQ0YMID4+HgOHz7M8OHD2bFjB3PnzhXWe3ub\nx95t2LCB7t27/1VL2GDVGPRsJ3J15+nsNBUPcSOh7b6yqfzeoC16ve39TGutI6rLGuGzKUyJp/F4\nmR6/mmDrvCVGK0lsnY5IYp1xVlfPuyrZLLxwhYo8S8KkKVOy3jmaH727c37ut+wZMJE/2g5FmZW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Tqlt7LaXPz9/YmJieGTTz7hiy++4MCBAwwZMgSwXDWfVCpl2bJlfPvttzg7OxMR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zEydOnIChoSF+/fVXvHr1CteuXcPz58+xf/9+eHp6cv3eFBQU6OVjeYiiXLt2DWpqajL1\n3myrc7C3tzcdpW3aRWn58uU4d+5cm8xDGAiCoL+H58+fx+rVqxEQEIDdu3fToo4fNTU1UFJSAkEQ\nUFBQwOjRo+Hj44N79+5h8ODBUp+3qqoqSJKk3V9k4XfKZDIRExMj8Pa//fYbbRk4evRobN0qmOPF\nv43POZz/AUpKSqCjo4OKigqpVcyzWCwcO3YM169fx7Zt29CvXz+pjCMphF1qby2n823qBlTXpWNg\n19NizEqyiBNhbPp+hTnW0WIjfKfDm8sqTF5sU8HJT2y/Jv2R9GQJAKCPzT7Ym/khMmUF3mdxCjTs\njJegX+fD9PZm7z4JTs+O/+BKxQQAgK7mQIzu/RTmcbxjNJ5zc58Bdcy0tDTo6uri9u3bWLJkCVRU\nVOj8OAomk4nZs2cjJCQEQ4YMwYsXLzBgwAAEBwcL1X2HzWbjq6++wvPnz+Hl5YX169fjxx9/xOnT\nnO+fPKyu/P3331i7dq1AkSDgkziU5NwNDQ2Rl5cnseO1BJvNpgsoIyMj0adPH/o1PT095ObmtlmH\nJWGorq6mfRj37NmDyspKHDp0CDt27MCiRYu4tn327Bk6d+6M7t27Iz8/H7169cKtW7dgairZm21B\nOXjwIF0FLumCM2mQlJSELl26AAD69++PiIgIGc9IMsi0aKhXL45fnzR8Hj8jPCwWCxYWFli+fLnU\nTXTz8/Oxbt06KCoqYtu2bTK3sGgNQYUnJTwo0dHUSunpuymwqu6PgWo/CnwsiqZCRlx7prZcyuZH\nc4KzMa29x5byUc8/VkAnjb4Y0+cF8krv42HMGAAAg1CCb6cKxFsnIPT1J8/QyYOLYJOo80lsNqp4\nHa9xBg7KvHmfwsAvZWP37t0YNmxYsz581dXVGDt2LHbs2IGhQ4eKPHZ5eTnmz5+P58+fIy8vDw0N\nDfDx8ZGLJdx3795h8ODBiI+PFyjiamZmhqysrGYthkRB2lXqTYmLi4OjoyMAjqUPJTBdXFwwc+ZM\nLFy4sM3mIgzFxcX0uTowMBBjxoyBo6Mjrl69ChcXF3o76v9Lhw4d8Ntvv2HlypUyWdJuzOvXr+kA\nx+jRo3Hnzh2Zzqc1qEr+xn/LUxqaMFy/fh2xsbFwdXWVneDU1tbGkiVL8Oeff8qFD9xnOD/KESNG\n4M8//4Snp6fUx3v+/Dk2b94MDw8PLFy4sF3cfIhTYHS61AkuartgpSR+P1phBGdT/1BZi00AOFps\niO90BIsqNfdeWxOcFOP7xUFdxRKXnn7qlNFr4gN0NByE6LM9UVHzHgDgphEE6w7j8FvJp5abVAK/\nKP/fZV2Rzo9evXrh7du30NDQgIqKChgMBkiSxJMnT2Bvby+TOY0fPx6jRo2irZpaYubMmTh79izi\n4uLQrVs3iYzfFlXqTfnhhx+wa9cu6OnpoaCgAABw8+ZNrFq1CgkJCW06F2HIzMyEubk5AODWrVvQ\n0tLCxIkT8eHDB2hrc343ffr04Vq+dnd3x9WrV2Uy38aUlZXRcwSA2tpaue973qNHD8TGxgLguDRQ\nKRnyTNOCsqSkJBgbG+P9+/cCCU6pXJ1sbGxw+/ZtHrF57949VFVVSWNIuYHNZiM7O1vW0+Chb9++\nOHfuHGbNmtUmS0yDBg1CSEgIGAwGXF1d8b///U/qY4qLOCKiip0HI0XJdEcRhMa5kY1zFYWhgpUJ\nFile7+2mnxmTXQ9hTiutzZkSm42383JhwdpwDgDgn1cOeJe2DV4uLAxV5bTdfHNjJOLvzUCfmbGY\noMHJnbtZOZ0Wm3369AGbzRY5z1EexSYAvH37FgBneaugoAB5eXno1asXnjx5IrM5ZWZmci0ttwRl\non716lW+hVWiIIvUgp07OR24CgsLcfToUQCAm5sbysrKkJ+f3+bzERQzMzPExXHa+k6YMAEMBgMz\nZ86kTcwBjhDV0NCAtbU1Dhw4IPV+7IKipaUFNptNL1erqKhIvbUrk8kUK3oeExNDWzvZ2Njgxo0b\nkpqaxCFJEl9//TVu3brF9Xznzp2FStNrs3AISZJISUnB8+fP22pImRAbGysXy1lNycrKOEI8uAAA\nIABJREFUgr+/P2pra9usb6qCggIWLVqE8+fP49y5c/D29m7zaIOwiComSDChwpCM7UlTEdb4b1GL\ncPhR574RdWS5SPs2rv5v/JlVsDPQgeDfgaM5Wns//F4fYB+AL/uEA+D0fz//WAFOqr7Q3cFJ5C9M\nvYLHJ5Rg0WEkrDp86vwUEBCAyMhIemlQ2OimvIrNxsKqc+fO9L81NTVRXFwsiykB4IgYQSNglOA8\ndeqUxG7aZVW4SQVWli5dSr+XKVOmNNtLXl7o1q0bfY0ePHgw5s+fj2fPntGvm5iYwM3NDWw2G76+\nviJ7O0sDgiCQmJiITZs2AQC6dOki1WKt6upqse3Htm7ditBQThezr776Si76xjc0NODx48eoqamh\nnyMIAufPn8fEiRPFOrbMi4aOHDmChoaGf037p4qKClRVVcHIyEjWU+Hi48ePsLa2hp+fH3799VeZ\nzCEqKgobNmyAi4sL/Pz85H7Jo6kY4Sc2qG0EXUaWlTcov7mnpKTA2tq61YsGv/k2PR61TXr9Qzyo\n9sMcbeGrRhsvrzc2fG+cN9sUk1g2fi8xQQ3JWbrU8rkIpR5jQayehPyyh1zbZmRk8LQY/LcIzps3\nb2LixIk8+Zve3t4wNjaWWU/1yspKWFhYCCR6SZIEg8GAnp4eMjIyJJLX1tY5nI0JCwvD2LGc5gck\nSYLNZsPIyAihoaFyX1gbEhKC8ePHAwAsLCywYMECrFu3Dh4eHrh16xZu3rwJV1fXVo4iOx4+fIiR\nI0cCAGbMmNFspz1xSUpK4rrBE5WMjAxYWFgAAGxtbZGUlCSzm6WUlBScP38e33//PV+bL34IWjQk\n89uTJUuWYMqUKVzPVVRUyPXSQ0toamrKndgEONWaBEFI7A6KKnrIysoSeJ8+ffrg5s2bsLS0xLhx\n43jC8/KGIOJiTyHw/es06Fuo0lG/xvs1fq5xRJDfNpKclyDb29raChShaLp/S+NXkJlQJrSb30BA\nGvtm8oMSpAxCEZOG5cJu6BEAQNlv06D03QQ4Wqzn2p7NZovdz1pexSYA2md37dq1XM9raWmhtLRU\nBjPioKKiInB3FeoCW1hY2G6LKBozZswYjBs3DgDg6uoKBoOBw4cPY+rUqTKeWeuMGzcOZ86cAcBp\nXvD333/DwMAA169fx/bt2+VabAKcaDmlIc6dOweCICSWptEYSYhNADA3N0ddXR0AjuBjMBhtkn54\n6dIlnmCfra0t1q9fL7DYFAaZC04Gg8FzISgoKMDKlStleqL8t1Fezlk6lZQth5KSEsLCwmBmZkYn\nPgsCQRDw8vLCjRs3EB4eDk9PTyQmJkpkTtKA37JxU8LDw3m+w4KISH7CU5h5tTRGa68LgzBRwCp2\nDlSITuIPipaX2hsXEt2fVYXyObOgu5eTs5XFfIoHMZzirTHq/iBJkitasFrv04Mfkvrc2pLXr18D\nAI89TadOnejfflvCZrORnp4Of39/aGpqtvn48sI//3A8Xm/fvo3bt29j2rRp0NTUxPHjojdcaCtm\nzpyJffv2AQCio6MRHR0NRUVFube8o9DX1weLxaKLiTp06IDMzEwZz6p5lJSUQJIk7QqgoaEh0SKz\ngoICnvc/evRo7N+/X2JjtIb8mYKBk0BL3V1RkCQJPz8/zJo1q9184eUJQ0NDuLq6YufOnRJZUldU\nVMRvv/0GHx8fODk5ISAgANOnTxe4Gl1dXR1bt25Famoq1q1bB2NjY2zatImr0lBeaE18REZGws7O\nTqJjUWKo6d8t7SMNBEkraEwVOxeqhGg5A00r7gV9neqN/sjfDlhJYvr06Th//jzS0tLoZSoKYcRz\n4/QHeRagLaVFderUCWVlZUIdj81mo7y8HDk5OcjJyUFeXh7y8/ORn5+P4uJiFBUVoaSkBGVlZaio\nqEBlZSVtIE4Je4IgoKKiAjU1NeTl5aGyslJqHsAtvQ95ICsrC6ampnB1dUV5eTn+/PNPuLm58Xhc\nyiNWVlb0v83NzeHo6Ejn2rYHGAwGSkpK4OPjg8OHD8Pc3FwuPGpb4tGjR9i9ezfWrl2Lbt26oaio\nCDo6YvYJBrBt2zZ4eXlxBUc6dZJMcEBQZJ7DKQy5ublgMplcH1hpaSk6duwoF8nLp0+fRq9evWgf\nUnkjLi4O/fr1w4sXL9CjRw+xj3f//n24ubmhpqYGJiYm6NevHy5dugQlJSWhj/Xw4UP88ssvmDp1\nKubPn98ubJQo3N3dMWTIEIFa+MkLtbW1OHHiBHx8fFrcTlDBSW33T8VsaCqYY5jaNpHm1dTvtLnX\nKfjZQrUkDpu+H8pPlUKehWVz3Lp1C25ubvj+++/x22+/cb128uRJ/PDDD3ByckJ1dTWqq6tRU1OD\nmpoa1NXVcV18qUgwSZLo0KED1NTUoKGhAQ0NDWhpaaFTp07Q1dWFnp4eDA0NYWRkBAsLC5iZmbV4\nQRwxYgSGDRsmUHcVExMT5OTk4MyZM5g5Uzx/1Pr6elhaWspFoaKSkhIaGhoAcD5nPT095Ofny8V1\nqyUa30BQ3xUWiyX3825KaWkpLa4kLTjXrFmDnTt3SvwzoT77qqoqLt/O1khLS8PmzZuxZ88e6Ovr\nS3ROzSFoDqdcRjibg19u5K1btxAZGUmH/mUJSZJy7aXl4OCApUuX4ocffpBI/mRGRgb09fXx888/\nY/z48XB1dcXs2bNx9uxZoQUjdVE6efIkxo4di3Xr1uGLL74Qe45tQWpqKpYtWybraQhFdXU1HZVq\nDn7RQH4Rv8bb1ZBFMCKcxZobJQD5RXcpgZltz+KyTIqY3CBS68/GtEexCQA//fQTAPBtIamrqws1\nNTVMnToVnTp1go6ODvT09OiHKDeHwpKdnU0Xz7TGiBEjEBQUJFSaTnMwmUy5EEZ37tyhxSbAybN1\nd3eHs7MzXr16JcOZtcyKFSsAANOmTUNUVBTS09NRV1cHZWVlrvfTHpgxYwaATykOkqRnz54oLy+X\n6Ooc5d8KoEWxSZIkcnJyuCzedHV1sW3btjYTm8Ig+1+jmHzzzTc8YvP9+/fYvXt3m3dAmDNnDjp2\nlIw1jrRYvnw57t69i9TUVLGOU1ZWRle8z5kzB/r6+ggNDUV0dDS+++47rrvIsrIyge4qKRuly5cv\n459//sG0adOk7qUmCQoKCuDsLJ7Iamt0dHQEMuMG+FeHN5cHWUeWQIMherOHpmKz6b8b09gc3vlK\nB55e6cKM1555+fIlAN78TYCTx6atrY0FCxZgypQp+OKLL9CzZ0+YmJi0idgEONH0jIwMgballmsl\nceNeW1src8FZUVGBMWM4nbA+fPgAgNOFqrS0tM1TDIShtraWTr0yNDREZmYmHj16hP79+7fLlLaQ\nkBAAoIu4JMnMmTMlngrm4eEBAHjw4EGL2x0/fhx//fUX13MaGhoyazXaGu3/bMsHKysr9O3bl6c6\nsrGv1H8VExMTTJw4EX/88YdYx7l//z6MjY0xefJk+jl9fX3cuXMHoaGhWLRoEWpraxEXFwdtbW24\nuroKXNGura2NvXv3Yvv27diwYQNWrVol1wVkLBZLri8ebUkduwyaDIvWNxSSpkKSqmKPmNyAiMkN\nAgvN1hwE2hut3ch16tSJrn6VFQ4ODgK3G6Ss0oKCgsQet76+XuaCkwpAHD9+HNbW1oiKigLA6TN/\n9+5dWU6tRSgD+JMnT6Jv376oqamBo6MjIiIi5NZLu/FNcOMb4evXrwPg+Fy2F6hGKY3zZQ8cOMAT\noV28eDHWrFnTllMTizZZUo+KihIqr9POzk6syJaSkhJGjRrF87yPjw9cXV15bJj+azg7O9NVraJy\n584dfPklbxtHc3NzPHr0CF5eXnSnqTlzOF1hunfvjuDgYAwfPlygMezs7HDhwgU8ePAA06ZNg7u7\nOxYuXCixSntJIC+FCZKm6TK2oNSjEpoK5lKYEYfG0dagRwyIcs/cnsQli8VCbm4u0tPTkZGRwfXf\n9PR0REZy0qW+//57vvvLg+BMS0ujlzSb49SpU5g7dy7996NHj8QeV9aCkxKXdnZ2dA/13r17Y8mS\nJThx4oRcncea4uTkBCaTCQUFBbrdJYvFamUv6SGOd/GkSZMAcGos2gO///47AGDBggVczw8aNEhu\n60MEpU2+8V5eXgA4PzwWi4Xa2lrU1tairq4OdXV1PF/kadOmSWUeJ0+e5Hnu7NmzyMvLo/NVmmPp\n0qWorKzEjBkzMGrUKJ6Txd27dzF69GiJzldaZGRkiN3jPiwsDAcOHOD7mpWVFZ4+fYro6GjU1dVh\nwIABUFRUxIkTJ+Du7o6YmBihPBFHjhwJFxcXnD59Gq6urli+fDnGjx8vM2PcxqSmprbL6GZZWRlU\nVVUlvqzKImuhBgOBtm0uD1RQVuuBzt3kiM9/D4qKikJd4JtLj9DR0Wk1V1fa7Nu3D+vXr8fs2bN5\nXgsICODqvmNra4uUlBSJjNvQ0CBTwdmnTx9cvnwZkydPBpvNRmxsLHr27AknJycMGzZMZvMSFCoP\nv3fv3sjMzJRJdbe4TTIqKirof0vDV5IiPj4empqaYnv9AsB3330H4FOLVIoBA9qudbK0aJNf4/v3\n7wFwXPk/fPiA7OxsFBcXo6qqCkwmEyRJcj22bROtwlUUpk2bhgkTJnA9V1NTg1evXtEn/PPnz+Po\n0aO04OnQoQMIggBBELCzs8OmTZtk1slDFLKyskTuIw1wRFZ6enqL9hiUX9uQIUNocb5gwQJYW1uL\n1NtZQUEB3377LYKDgxEREQEPDw+6d7Qs4efB2R7Ys2cP4uPjpXLsli7yzS1hCxp1bNw/PmJyAxKc\na3F/VpVMujdJk3379sHAwAD9+vWDh4cHli1bhr179+LixYsIDw9HdnY2lyBtbF/TGBUVFZlH4YcO\nHYqPHz/yLZChxKaHhwdqamqQnJxMvyZuYUptba3M3S48PT1BEATMzc3Rq1cvkCSJFy9eoHfv3jKd\nl6CQJIm0tDS4ubm1uWWdJH7TVB94afd8//Dhg0iFuAcPHqSL/gDOagAAqKqqSsQKSd6QeoQzOprT\n4k5e7+g6dOgAe3t7rudqa2tx7do1aGlpoXPnzpg+fToA4OnTpwgODsbZs2dpq42UlBTa7oOKuHl7\ne+PUqVNt+C6EY/z48Vi/fj1mzJghklh6+vQpnJycRIrsVVZWIiMjg8eMW1A0NDTw008/ITMzE5s2\nbYKCggJ++uknsQS0OERHR0us20RbMnPmTB6PSkERtj2nKPmVLUGJTk5VOseDk7PU/u+Jcvr6+sLX\n1xf19fXIysqil9CTkpJw//59+u/2QMeOHXHu3DmMGTMGx44d41rBkmbUrKGhQeaCE+C0Fab6qRME\ngZycHDg6Osp4VoIxcuRIxMTEIDAwsE3HldQN5JUrVwCAq9ZAGowbN67F61lDQwNCQ0Ph6OgIGxsb\n+vl58+ZxXUepVdLG/ev/TUhdcM6aNQsAZ+mkvdCpUydaRB47dgwA54sQHBwMKysr+uQBcMRpSEgI\nzp49S99FUSJbXpk3bx7Cw8MxefJkPH78WOg2cmZmZiKLxn379mH+/PkICQnB3Llz4eHhIZJwNTMz\nQ0BAAKKiorBkyRL06tULq1evbvOuJgkJCXzzheWdrl27iryvoKb0ks6VbCp0zd4xaJukf0O1OcXa\ntWuxe/dugbeXRCMHaTNu3DgEBwdj0aJFraZMOTg4IC4uTuCWmM0h6yV1Cqrinsqb79atGyIiImQ5\nJYFZuHAhnj9/jqCgIPTp06dNxpSU2JzaMQzAJxEnSBMHURs9NP2eNTQ0cH1/CYJARkYGj5tJ42sf\nm82mI/ztJQIuLFIXnJSfmqQ6sbQ1S5YsAcDx+1RSUuLJq4qLi0NlZSUuXrwoFyc3QSAIAkeOHMGw\nYcOwe/dubNq0Saj9Bw8ejJqaGjx79gxDhgwRat+JEyciLi4OAQEB2LNnDxYvXozVq1djzZo1Qpnb\nUvTp0wfBwcEICQmBu7s7vv76a8ydO7fNEvLT0tLazCbk6NGjiIqKQpcuXWBvb48ePXrA0tJS5t87\nSgg2Xrptq8Iczjjt43cnKOPGjcP+/ftpY/WmD3Nzc5ibm0NHR0egGz556axy/PhxgSJ7z549k0gl\ndH19vcwjnJRlFQC6cPbHH3+EnZ0d6uvr28yaShRqamqwd+9e1NfXt6vuQhRxdRy7IPvX57lErCCC\nVpwOYzdu3EBQUBDOnj1L/z4VFRXp3MzmePz4MQBgy5Ytwg/aTpDqVfndu3cA2m+yK5WXOW3aNPrE\n0PQEZm5ujuTkZJ6LfklJSZu3jRIGZWVljB07VmB/vKb7uru748aNG0ILToBjTLt69WqsXr0a4eHh\n8PHxQWBgIF6+fAk9PeFvbwmCwPjx4zFmzBicOnUKY8eOha+vLyZOnCj1wqLCwsJWBWdpaSnu3LkD\nS0tLWFpawsDAQKR5nT9/HllZWSgoKMClS5dQVFREe80SBAEGgwEtLS3o6+vDyMgIZmZmsLS0ROfO\nnWFvbw9LS0uBhbgoy+bf6RRCgVBuY7H572PEiBHtzli7NQ4ePIhHjx7h48ePrW6rpaUFV1dXsces\nq6uTeSV444gW9Zvv168funTpgs2bN8t17n9OTg6ioqKwdOlSjB8/XtbTEZrxmqcRnnoEP1tLb9Xr\n+PHjUFNTo1dyWSwWJk6ciIkTJwp9LBcXF9y8eZOnpuTfhFR/jZQdzp9//inNYaQCSZJYt24dAODc\nuXPNbpeXl4c3b95wLRMxmUwsW7YM8+bNk+s7w6KiIpETwS0tLSWSQzZw4EBcvXoV1tbWSEhIwNCh\nQ0U+lqKiIhYsWIAZM2Zg//79OH78ODZt2iTVGx4Wi9VqSsL9+/cRGhoKS0tLpKWlIT8/HyRJgsFg\nQF9fH+bm5lzRKzMzM6irq/Mc58CBA/D09ERwcDDfcaqrq5GQkIDExESkpKQgLS0Nt2/fxl9//UUX\n6VHRrpqaGmhra0NbWxs6OjrQ19eHsbExwsPDMXfuXPTo0QOVbGuowUjgCOq3t9PwcI50K/b/rSJT\nmsiDm8Mff/yBv/76S2ABmJSUhIyMDLG7jcmyYKqxz6aenh4KCzlfXnnuLtQYyg6puZa9VVVVfM9T\n4iDJ4j/OuUIyYrOurg7h4eHo27cv1zL4kCFDYGtrC4BTn7Bw4cIW9UJLMBiMf7XYBKQsOKmcFXHy\nxWQFZaa6ZMmSFpdltLS0eOw+FBUVcebMGZ5tf/vtN2RnZ8vNXW18fDxfqxJB0NbWxps3byQyjy5d\nuoDJZMLBwUEix1NXV8fGjRuRl5eHrVu3Yu/evejfvz86d+6Mzp07w9bWFqqqqmKPI+jFjPIhbJrr\nSZIkCgoKkJaWhoyMDLx79w6hoaHIzMxEVVUV7YRgaGgIMzMzmJqaIj09HYMGDcKjR494luPU1NTg\n5OTUquctm83GihUrUH96HWZdSKHFaWZmJl6+fImkpCSYm5ujTLMMhRm1ACjBQgJgoAOhBiVCEy9H\naNP9tfX19ZGXlydV65HPiIasl9QTExORmZkpVDeu+vp6JCUliSU4+/Xrx9UisK2hfIoLCgq4Vm6K\ni4tx69atZm3l5I0VK1ZwVXmTJAkTExPk5uYC4ERC+bWdFhZJiU1x7dYAoJ6sghLxSUzn5eXh2bNn\n6NGjB9d23bt3p/+toaHB5SX7GV6kJjgTExMBoM0SjSUJm83G3r17AQBHjhxpcVvqLlAQfHx8eJbK\n0tPTcfToUaxYsQIGBoL5F0qK0tJS6OrqirSvgoICmEymROZha2uLDRs2SNwGwtDQEIcPH0ZBQQHi\n4+ORlJSEv/76C8nJyaitraXFnJ2dHWxtbemHoKIpPj5eoG0/fvzId4mFIAgYGBjAwMAA/fv357sv\ni8VCXl4esrKykJWVhV9//RW7d+/GkiVLRO4WxWAwcODAAaz+Cxg0yACDBg2iXzt27Bg0NTW5LKca\nn7SZ7HpUsrNQzk7DxPmZyMnJQW5uLnJyclBUVETnPH9GfpBlhPPFixcYN24c/P39hcrRdnR0FLuS\nu2PHjjJLTaDaDfbu3ZsnTUhHRwc2NjZynzZBCUqq0hvgiOWm1wxjY2OsXbuWxzeyrWm6+iGq2Hxd\ncwD1ZAWeVm+kn7OwsMCPP/7Y6r7txYtbVkhNcH777bcA0OZ2CpKAcvjfsGFDqydrHx8fHD58GCwW\nS6Clx6aVl6ampvDy8uI5Gd+7dw82NjYS6SncHGw2m7Z3EpaCggLo6+uLPYeGhgZkZmZK9X3q6+tD\nX18fLi4uXM+TJIm8vDwkJycjJSUFwcHBSElJQVlZGQiCgLq6OmxsbGBjYwMrKytYW1vDwsKC/n/4\n4sULgWylMjIyhLoxaYyCggJMTExgYmJCi9Jly5bBz88P9+/fFysC1NzydNO8Xu7tlABY///jM+0B\nU1NTLF++vM2r2ZlMJiZMmIArV67ILLWIwWDIpDiHyumjWhQ2RVVVVe4FZ1FREdffr1694roxJkkS\nd+/exZdffoldu3Zh165dSE9PF/pcJ25kU1ShySTrcKNiGvqrroZZh0+pXH1V/Zo9zueUHvGQmuCk\nqgybhqDlHSaTSVs4UdZILUG1jYuIiMDAgQOFHk9BQYGvBUJ9fT3evXvHJcQqKyuhoKAgkeVggGO/\nsnDhQtTV1WHZsmVC7ausrEwXrIjDo0ePoKam1maV3o0hCAJGRkYwMjLimztaWVmJ1NRUfPjwAbGx\nsbhx4wbS09PpC8WHDx+gqqqKgIAAuiDI3Nwce/fuxcuXLxEcHIykpCSkpqbSPaIlxYYNGzB//nyx\nc9w+8+/nf//7HxwdHcFisXDo0KE2G3f58uVwcXGRaR67gYEBwsPDeW42pQkV6Zs0aVKzUV0HBwcU\nFxe32ZwEYcqUKcjLy0P//v0xduxYrlSyI0eO8LRPJQgCMTExYDKZ6N+/P6KiomBhYYGlS5fi8OHD\nAo0piWV0QY6Ry3yNpPorGKb2qamMIqGMrzQvQ4EQ3H6r6VifBahwEJLK7yEIwgnA69evX0NLSwt2\ndnZwdHSkbZHaC+7u7rh27Rr27dvXarvLW7duoaioCHPmzMHKlSvpZXhp8erVK+zatQvnzp0T26OO\n4u7du5gyZQpKSkqEWnoLDg7Gxo0bERMTI9b4Fy5cwL59+9qNLx0FSZLIzc1FRkYGMjMzkZaWRudi\nUktQU6dOxd27d1FSUoKGhgaJV8yuXLkSI0eOhJubm1D7UYbY/CLy1HdA1nl/n5Es9fX1MDc3x5Ur\nV0RylhAFOzs7XLt2TeSlcUlEJj09PeHk5IT169eLdRxBoYoBAdC9yJvD1NQUUVFRbZ5KxY+lS5ci\nMjISS5cuxf379xEZGUnnmBcWFtI32ZGRkejduzc8PT1x9epVABxhHRwcjP/9739cN+7Jycl0QU1T\npNkZLIf5EopQhr5iT/q5clY62GBCW8GmhT1Fo6noPHLkCL777ju5KNZrKyIjI9G3b18A6EuSZGRz\n20nFwI5qV8avcEaeoToMAWhVbAJAVFQUbRdx+fJlqc4N4CTBX7p0iUtskiSJadOm4caNGyId09jY\nGCwWS+gfx/v375s9mQiDnZ0dkpOT253AIQgCxsbGcHZ2xuTJk7F8+XIcOHAAf//9N72ctnTpUkyd\nOhUAcP36dYnPYfv27Th8+DAePHgg1H7+/v4ICwuT+Hw+I78oKSlh9+7dWLVqVZuMx2azUVpaKlYe\n5pQpU8SeR69evdq0EQcVBfT19W3VA3T8+PFYunRpW0yrVRISEjB//nzMnDkTAQEBiI6OxqtXr5CT\nk0OLzbKyMvTp0wcEQeDKlSu07eG1a9eQmZmJIUOGgM1m0xFtOzu7Vr0nRYXTWQyoZheAJLmLN/OY\nvC4AHRUspCI2+VFTU4P8/Pw2Gau9IRXB+ejRIwDtr2CIqioUtCvShg0b6IRwqgdqW0MQBC5evMgT\n5Tp79ixt69QSolYYPn78GMOHDxd6v6Y4OjqCwWAILZrkGV9fXwAcj7aNGzmJ5wcPHpT4OMrKyrh4\n8SKuXr2KVatWCSzaR44c2Wol+2f+fYwcOZIuBJE2Bw4caLa/u6CsXLlS7HkMHToU79+/F/s4gsBk\nMnH06FEA/Ls/sdlsxMbG4vjx41i8eDESExNx5coVLnN4WeHi4sJ1U5yenk5Hl1VUVDBw4EB07NiR\nax8HBweQJImMjAw6l50gCDx48IC2fvr99995xhI1uskk65DpyKbF5luLCPzTYSXqSe7Urt4qS7ii\nm9Km6ftZtWoVDA0N22z89oTEl9Rv3LiBiRMnws7ODklJSRI5dltQUVFB/6CE/UzkcRmSWg5pvFxT\nXV2NlStXwtfXl7aq+uOPP3D69Gn6JkEQWCwWdHV1ce/ePSqMLhbr1q1DXFxcs/6S7ZHG34m2+H4c\nOnQImZmZ2LVrl1hLOfL4Xf6MZGCz2dDT00N+fr7UDdH19PQQHR0tUFGdNKmtrYW1tbXIxZHC4Obm\nhlu3buGbb76Bubk54uPjkZqaioKCArpDnba2NiwsLODg4IC+ffuisrISe/fuxYcPH6Q2LyaTiZSU\nFCQkJOD9+/dITU1Feno6cnNzkZ2djXPnzsHZ2Rm2trbIycnBrVu36ADGypUr4eHhgREjRqC8vFys\n+gFhhGbTtslPqtejwcQIXUz5R4TlobXtfzmfU9AldYkLzgEDBuDFixd48eKFUL5rssbR0RFxcXH4\n+++/MXnyZKH27dixIyoqKsBms+U6b4MkSaSnp6Njx450F6RJkyZBVVUVU6ZMEXgJixKyVVVVIrWj\nbEpqaiq6dOmCvLw8LmuklStXYu7cuWLbo8iCthacALBr1y7U1dUJ3aq0MXp6eigqKvosOP+lLFiw\nAJGRkbRHsrQwNDREXl6eVMcQFEnNhclkIi4uDq9fv0ZsbCzev3+P9PR0FBQUgMlk0p6fgwcPhp2d\nHbp3747+/fvD2dm5xfOkk5MTZs+eDT8/P4HnUlhYiMTERCQnJ+Pjx4/IzORYlOXZqmkJAAAgAElE\nQVTl5aG4uJirAxkAaGpqQldXFyYmJjAzM4OtrS26dOmC1NRUHDx4EPHx8TAyMsLs2bOxb98+AKC7\n3pAkCW1tbezcuVMs2zNBBGcpKxX3qpZilPoRaCt8KpilopotIajobOlY4grX/6rolJngpP5uTxes\noqIiemlc0HknJSWhc+fOADg5qwEBAXj16pVEIn5tyZgxY8BgMPDzzz9z3SAUFxfj8uXLmDJlCo8/\nZk1NDbS0tBAXFwc7OzuJzKNv377w8fGBt7c3/Vx7jrZZWFggIyMDVVVVGD16NJ4/fy4xg+SWWL58\nOZydnTF9+nSR9h8wYAAiIiJQX18vscK0z8gXBgYGCA0NlVpaBZvNhpGRkdzksZmYmOD9+/dcHWL4\nkZaWhvDwcLx79w5JSUlIT09HTk4OqqqqAHDOR9ra2jA1NYWNjQ0cHR3pRguDBw9GTEwMgoKC4OXl\nJdT80tLS4OTkhN27dyMnJ4cWjoWFhSguLkZ5eTlqa2u5zoPKysrQ1taGrq4uDA0NYWJiAmtra1hb\nW8Pe3h7W1tYCR7GNjY3Rt29fhIWF0fmaaWlpsLCwoLeZPXs2Xr58ifj4eKHeW2OaCs5XNftRQxZi\nmNp2nm0FEZhNaU4sinKsxsek9hdGjK5NKISCgoJct7eWJIIKTqmsqzT+orYHqAjanTt3BNqeJEks\nW7YMISEhADjVyAEBAbh06VK7E5y7d+/GiBEjeIzHlZWVYWBgwNNN5+HDhzAwMMDw4cNx69YtOl9R\nXDw9PfH3339zCU4qMhETE9Pu7LX8/PywcuVK/PXXX/Dz88Pz589x7NgxbNmyRarj7tmzB1OmTEHn\nzp2btZoKCgpqVpA6ODggIiKCzt9avHgx1qxZI1Wf1M+0Lb/++ivmzp0rtWIaW1tbifTephwwxP3t\nm5qa4vHjx63OqUePHujVqxcsLCxgb28PDw8P9O/fH5aWli16LBcUFNBzFVZsApw2wd7e3ggKCoKe\nnh4MDAzQr18/mJmZwcrKCjY2NjAyErzFrLBcunQJw4YNo//md7O5detW2NjY4MmTJ1zbCkJ5eTm8\nvb2xLnQd+vXrRwvPvirLuVYExRGGkti/tWMKIzwX2jzHl7syPzfCaIJUIpxPnz5tM+sNccnKyqLz\njAT9LEiSRHZ2NkxNTQFwfqDKysqwtbVFcnKy1OYqDaqqqqChoYHc3FyBEp0fPnyI8vJylJaWYsOG\nDXj79i2YTCbev3+Pfv36iWxjEhERATc3N66oSHJyMjp37gxVVVVUV1eLdFxZUVZWBm1tbXTr1g1v\n375Fhw4doKWlhdLSUqmPXVJSAk9PT5w9exbGxsY8r3/77bc4deoU333LysowdOjQZu3MvvrqK6xb\nt06q/ek/I10qKythbm6OjIyMVqN+okDliYorkMLCwlBYWIgZM2aIdZyZM2fCwsIC27fzRtIaY2Bg\nIFJUlkqpun//PkaOHCnqNGVCVFQUHem26uCKKR1Dml0W9vDwwPv37+nqdH5cv34d9+7d4yqSJEkS\ndXV1UFFR4Yly8hOJ2fasFudskqjAtY1JYstuANKiJeHZQNaASVbjcLFonfzaGzJdUm9PS6BKSkpo\naGhAeHi4WBdR6k5NUVERY8eOhaurK1xdXVtdcs7OzsaFCxfg6ekps8jwoEGD0LNnTxw7dkzgHFSS\nJDFhwgTo6upix44dCAwMxPfff8/V6vHOnTuwtLREly5dWj1eaWkpOnXqhOLiYq5lCGo+NTU1UFFR\nEfKdyRZZ5HFSJCQkYNmyZbh8+TJPdamgUJ1EduzY0ayLQL9+/bBu3TpMmjRJahGYz0iepUuXIiIi\nQioV0v369cOaNWswbdo0gbZns9nIz89HSkoKUlNTkZaWhqysLOTk5CA/Px/FxcUoKyvD119/LVK3\npAMHDuDu3bu4efNmi9v17NmT9lQWlJSUFPoc356uewAwRuM47lQtBgCMUj8M/b5LYPaO0azgTEtL\ng7W1NZKTk2FpaYm5c+di9uzZGDVqFL1NUVER1NXV+Z6r+YnNbHsWEpxrhZp31wjhrgPSFqStRTz/\nC3mdMhOcOjo6PC2x5BVJnixGjBghUKX3iBEjaEHaq1cvzJkzB2fOnIGXlxeCgoLEmoOoZGRkwNnZ\nGQsXLsRPP/0k1H4WFhbIy8vja14cEhICRUVF2m4K4HTnef78OaZMmcLTfUdbWxsPHz7k6rwUGBgI\nb29vTJ8+HefOnQNBELQwlXcokTl9+nT6/+3Hjx9hYWHRJsVlz58/x88//4yLFy9CU1NTIseMiYnB\nrl27cPbsWb6vm5iYYN26dZg7d67EOmJ9RjoYGBggMzNTom0f2Ww21NXVsXr1anrlJD8/H0VFRbRw\nrKiooKu2qfOusrIytLS0oKurC319fbq4xdraGnZ2djh37hyysrKa/d61xKtXrzBr1qxW8w9zcnLg\n5OQEd3d3vnY+/KB+x2/fvm1XaT9fffUV7d386tUr7F3BsTCkxFNjkXT16lUEBwcjMDAQjo6O6N69\nOy5cuIDi4mKe/H5+rNbjjmRSY2Q6snF/VpXY76U1ASqo4OQXWRV03/+66JSZ4Dx27BgWLVokkWNK\nG+pkERMTg+7du0vsuJmZmQgLC0NoaChu376N8vJygfajWoqNHTsWAwcOlLp1SWPevXuHL774AkuW\nLBEqz9DDwwNJSUm4ceOGQHl++fn5dHejxhc6f39/+Pr6IjIyEt26dePah1+ksC0KcMRl1apVdMWn\nIJiamqJHjx5cj65du4oV2X327Bl++eUXXLhwQWKiszHZ2dk4cOAA9uzZw/d1giDw448/ws/PD/r6\n+hIf/zOiM3DgQCxatAjffvutxI7JZrPh7OxMO2Ho6urCyMgIxsbGMDc3h5WVFaysrIReyh8xYgRm\nzJiBhQsXijQnY2Njrkr1wMBAhIaG4uzZs1yR+fr6ejg5OcHDw4OrtfGrV69gaWnJ9R1++fIlXWiZ\nmpqKyMhIDBkyRK49GBsaGrjOu993KsHbKeoAAOMEBv4XPw39677FlXI3rn0UFRVBEAQuXbqEWbNm\noby8vNUbFSqiSYlNStA5X+lAi031wSUAgKpnneh/N6bqWetFN40FZ4JzLY8A5Scas+1ZPEvzLSGI\n8BQkt/PfKjxlJjhfv37dLkyl3759i169egEQLroZFxeH+/fv8/SVFZTi4mLcvXuXFqPZ2dkC7det\nWze4ublh+/btUhOilOj08fHBhg0bBNqHyWRi+fLluHDhAl6/fg1zc3P6tbKyMqSlpaFnz9ZNeKOi\nojBixAiEhIRg8ODBADgn9LCwMLx8+RLXrl1DUFAQzMzMMGzYMIl3ECkrK0N0dDQKCwvh4eEhseVh\nFouFDx8+4O3bt7h+/TqqqqoQExMjthm1qqoqLUp9fX1bjK48f/4c69evxy+//EJ/ttKisrISJ06c\nwI4dO2ibmKbMmzcPx48fb7UTi7xQX1+P0tJSuWhBKAgkSeLNmzfo3r17i+cKS0tL3Lp1S6I326LC\nZDJRXFzc7Gesr6+PrKwskaOxTa2RzMzMkJWVhfnz5+PEiRNc265YsQKVlZXw9/fHoUOH8PPPP6Oo\nqAjdu3fnauXb3CrF3r17JWJaL0nYbDby8vJgYmICAOjUqRM0FEbB2uMcvY1JogJMYwnsLWp+9YXN\nZkNbWxubN29u8T02jWo2FnbOVzogYnIDMvxa90atexeD2pfhaMjRA6GsBkJJHVBWA6GsDkJJDYSy\nGjrH6UChgzqSBimAUOB83xuLzuYEpyi0JDzN3jHAJGtRS5ZAg2EMJlmHJ9U/YKQ6bxqIPAnPFy9e\noHv37lBXVxf5GJ8FZyvMmDEDQUFBSElJgY2N4C2v3r59i9raWol5jMbHx8PBwQGenp4IDAzEo0eP\nEBoaitDQUL7G+YsWLcKxY8ckMjY/YmNjMWTIEPj7++Prr78WeL/p06dDSUkJgYGBADiG8vPnzwcg\nuKBfsGABamtr6ZaoVVVV9FIVFZ1rHOVksVgtCkOSJJGVlYWoqChERkbSj8zMzBbnERISAldXV4Hm\nLGkKCwsRGxuLmJgYxMTE0P+mfPX4QRAEj5tAU0pLS2mfv5EjR2LOnDkSnXdzsFgsXL58GTt27MCb\nN2/o51etWtVsVFSeyM3NpQuv5D1HLzo6GmPHjqULXx48eEC3GeSHlZUVHjx4IBcOBM3lOE+dOhUX\nLlwQ22bJwsIC4eHhMDExAZvNhpKSEjZs2IDdu3fzFCSuWLECFRUVOHHiBAYMGIA3b95ATU0NDQ0N\nyMvLw927d3HmzBlcvnwZqqqqqKmp4drfx8cHhw4dov9mMpnYsWMHDAwMxFr9q6ioQGBgIJ4+fYrV\nq1fzOKKQJMll8Ucxc+ZMeHh4oKSkBAsWLMCyZcugdJZT1EOJwqBHgt9gb9++Hdu2bUNBQUGz/qKU\n4Gwq7CjBdn9WFUbOTAAARHxoPiKc6mgp8LwEQU3ZHIR6JzAUlEEwOoChoAyFDpqwHbQXKppWre7f\nWqQz/9UR3K9eBn2FXpitFYWYuj/QU2U+323lQXSSJElfQ11dXXH9+nWR7PA+C85WaO7HKYt5nDp1\nCu7u7i3mw9TX1yMhIUGgaKG43Lx5E15eXlizZg18fX25CoGa4+PHj3BwcMD169cxffp0FBZyfk1X\nr16Fu7u7QOMmJCSgd+/eKC4u5jmRKSgogM1mIzU1FQcOHMDBgwfh5OSE4cOHIyoqChERESJXsmtr\na9N+ekOHDsWkSZNEOk5bU19fj8TERJiamgqUS0WSJNasWYOKigqp3rS0xocPH4S6yZMVjTt1HTp0\nCD4+PjKeES+VlZVYtGgRzp07x/X86tWrW+06JWpVtqShVpvU1dV5bqxu3rwJNzc36OnpIT09XeRG\nEy4uLli0aBG++eYb5OXlwcjICImJibC3t+dx6OjRowcGDhyIhQsX8gQWCIKAiooKHBwc4Ovrixkz\nZmDbtm2Ij4+ni54KCwuhp6dHpyht3LgRT58+RdeuXUXysczJycGYMWMQFxcHLS0tWFhY4O3bt9DT\n08OqVavg4+MDVVVV3L59GxcvXsTJkyf5/n9nsVhgMpk8ufPCwmazYWZmhi+++AJ//fUXz+uNl9Ip\nwUkVBlGRxwy/HDjbcCLOLQlOR4UovLiVhdoYAmRdFci6apD1VSBrq0DWV9PPqRXUokql4tPrddVg\nlwnexrX3V4/R0XCgQNu2JDoNYqtwqPhTkeaSTjlQZ/BP/ZIHwQkAly9fxtSpU+m/58+fD39/f6Hq\nDD4Lzs+IxePHj7Fx40bEx8fjzp07dPpBS/z444/YuXMn/XdFRQWSk5ORmZmJcePGtbqESpIkrK2t\ncezYMZ4IY3R0NPr06SPUe6CKc/r37w9vb284OTnB2NgYOTk5KCwsRPfu3eW6M5S0WLBgARYvXtzu\nPGPbksY3o9JcIv348aNIPcdPnTqFuXPncj3Xu3dvXL16VaDjJSYm4ssvv0R6errQY0sa6jfY0mrT\nihUrcOXKFURHR0NbW7vF41VXV0NFRYVr9WPp0qVoaGjAjh078OjRI0yfPh01NTWwt7fHx48fERMT\ng65du2Lfvn1YtWoVAM6yc0kJJ6/Q0dERXl5emDFjBqytrVs8bxQWFiIwMBDnz59HdHQ0mEwmAKBz\n585Cp9K8ffsWbm5uUFNTw+XLl+n0h/379yM6Oho3btxAVVUVjh8/LtFc3NZ4+PAhRo0ahdjYWK6c\n+5bEJgCuPE1nmzxabFK5mk3zOAXJ4WwOklmPgiWcCbksqMfLi91RU8b7+ROa+tDbmwSiyWpZS8VI\nrUU6Xz33RHIDp1Wzm8YFdFXm79ggL6IT4NxUN/bV/umnnwTuWieo4PzsY/IZvri4uODhw4eYN28e\nFi1a1Opy4tdff02LTT09PZSWlkJDQwPr1q3D5MmTBcp5JQgCU6dO5Vsh2rt3b7ravXv37hg9ejS2\nbNmCx48fo6ysDCRJ8jzS0tLw8eNHXLp0CRMmTKCXRouKinDhwgWeMfz9/REVFdXqPNs7P/zwAw4f\nPizracgtpaWltNjctm2b1MTmq1evYG1tja+++gpA663/4uPjYWNjA4IguMTm5cuXQZIkoqKiBBav\nS5cuxaxZs0SdusTIzf0UhWop6r1//354e3vDxcWF7+skSSIsLAyOjo5QV1eHsrIyhgwZgi+//BLW\n1tY4ceIETpw4AT09PUydOhVffPEFGAwG7ZH75ZdfYtu2bVi7di0Ajr3dvHnzUFRUhIaGBsTGxmLD\nhg30598Senp6WLlyJV6+fInc3FwcPHgQysrKSEpKwsePH+n5NmXevHm4ePEi/TeLxcL79+9RXFyM\nrl27cuXarlixAqdPn0ZxcTH27NmD+fPn4+TJky3OS5KMGDECw4cPh6enJ8974beUzo+ID4aoetaJ\nS1SKIzCbQih+yvdNcK6FrqUbCII7p5kgFKEyYCqP2KT2aY7W3l+/QX/DXfMaAOBm5de4VD6G73bC\n9JeXNsuWLQObzcaaNWsAAJs3bwZBEBL9Xn0WnEIQHh4uF0tQbQVBEFi/fj0yMjLw559/8t0mOzsb\nBEHQJ8rExEQ4OTnRd0qRkZE4ffo0zp8/j4cPH7Y65urVq3Hv3j2Eh4fzvBYWFgaSJBETE4M7d+5g\n8+bNGDZsmNA+k927d8cvv/zCc+Ho0aMHT0X43bt38e2337aaI9mesLW1RWlpKcrKymQ9FbmjvLyc\n9oHdtGkT1q1bJ7WxqAjzjRs3cP78eb7b1NTUYOHChSAIAg4ODkhNTQUAfPfdd6ipqQFJkvD09BRq\n3OLiYkRFRXFVYcuKQYMGAeA0C6FgMpl49uwZYmJiUFv76aK/ZcsWFBcX08WCLBYLkydPRo8ePdCx\nY0dMmDABXbp0QXJyMsLCwqChoQGCIDBr1iyEhITQ9m9sNhuhoaHo27cv1NTUUFNTg8zMTBw9ehQr\nV64ESZJoaGjAnj17oKOjI1aRZnl5OaZMmYLi4mIMHz4c9vb28PHx4SvUjh07RnuXJicnw9TUFDNm\nzICRkRFXB7bGEAQBX19fHD16FIsWLYK/v3+rc1qtJxmhc/HiRaSkpAjkjao+uIRvFTo/KBHanPgU\n1IdTfXAJVIcOBwA0pL9B5ZhRIEkm1zYkyYRKP49mj5HgXNus8My2Z7UoPFX6uMFjECdtIK3hDvYW\nEahl834G8iQ6CYLArl27wGKx6IYLCxYsAEEQtI2WOHwWnEIQEBDwn+svraGhgRMnTsDPzw8ZGRlc\nrx08eJDutjR8+HCw2Wx06dIFJ06cwKVLlxAVFQULCwsUFxfD3d0dt2/fbnU8AwMD+Pn5YfPmzVJ5\nPy0xaNAgHkumUaNGYc+ePTzFSfPnz+fxBExLS0NISAi9hCaPUObX7u7uuH79uoxnI19UVVXR+cpr\n164VypNWFAiCoCv5p0+fjkTbj/RrFy9eBEEQUFNTo6uoO3fujISEBJAkiSNHjohsl3Xu3Dk4OTnJ\n3Ki/pqaGjvg17kw3YcIEuLi4oE+fPtDU1KQLEQHOxY9y0Pj+++9x584dDBgwAL/99hsqKytx9epV\n2NraYuTIkXj48CHu3LmDX375BUOGDAGTyURERAQAoGvXrvD29saCBQvw8uVLNDQ0ICsrC7t27RLp\nvbx48YKODDXmzz//REpKCtTU1PDw4UP88ssvOHHiBCIjI5GSksK1LXVtCQoKgoODA3r27EmnJbWW\nB08Vky5ZsgTHjx8X6T0Ii56eHg4dOoQffvgBmZmZfIVTS1FCUaKZXSNUeI5JidnGDwqdtZwl4crz\na9HBdiCgxJ0DrKRqBEVr7rbO/GhNeDaHcgc99FNZBUMFTpvhwyU6SK0PbXU8WcNgMHD27FnU1tZi\n6NChADjerQRB4Pnz56IfV1IT/C9w/Phxri44/xXGjx+PKVOmYP78+XSbsg4dOtBVz6GhoXj48CEd\nMbSwsIC3tzf27t0LPz8/7NmzB+Xl5QgNDaX7z7fElClT8OLFC6m+J0EhCIJvYdnJkyfxzTffcD3H\nZrPx4cMHngv5999/z1PUUVNT02LlubSgItWTJk1CcHBwm4wpqYiKNKmpqaG9IX19fblykaWJnp4e\nQkM5F6AbEdZwdHQEQRBcDhGBgYEgSRLv37+Hvb292GMqKSnJRcSeisw2vnE7ceIEHjx4gISEBDQ0\nNGDMmDHw9vaGgYEBxo0bB21tbTx58gQuLi7w9/fH9evXsX//fgwYMICnGCY9PR0bN27E8uXLoays\nDCsrKzrdJj4+Hj4+PvD390e/fv34RjHT0tLwzz//8Dzv5eXFc7NmbW2NxYsX82z7008/cfUeX716\nNfbs2YO0tDSMGDGCjnLW19dj7ty5UFZWxjfffIPJkycjLCxMqAKfBQsWwN/fH9999x2OHj3a6vaS\n+F0uWrQITk5OGDt2LEiS5LJC4ifQWopctga/yGZrUdOGXI6YbEh6BkKxA5QcRwEMTv4lAUVY60zn\nu5wuLC2JTtv+OzFyyAuM0zgNAPi7YhxuVnC3a5XX86OysjKePHmC0tJSOl1n8ODBIAgCCQkJQh/v\ns+AUgvZeYFJXVyfyvvv378fbt2+xZcsWqKio0FG86upqjB07lmf7FStW4PLlyxgwYAAMDQ3RsWNH\neHp6Yvz48a1WapaVlUnFpFzaWFtbY+nSpTyC89ChQ/Dw4F62SUxMxLx581BRUcH1/JkzZ/DkyROp\nzfHy5csAQBdetEVvd4CT1zV9uOxFDj9qa2vp6ufFixfjwIEDbTZ2fX09101YXFwcAGD27NmorKwE\nSZKYPXu2RMcMCwtrNheyrWCz2fT7btwrfcuWLVi6dCns7OxAEARu3bqFjIwMTJs2DaGhofDz80N5\neTkiIyMREhKC/v37Q0tLCw4ODvQxampqkJiYCENDQ/z888/Yt28fl+0SVQhEQZIkZs2axbMCk5+f\nz7MtAJw/f57Ou6UwMDAQ2HmBuoHNysrC3r170bdvX2hpaeHatWuor6//P/bOOi7qw//jz88dcKSU\niN0KJtbUOYfdHTNnix2zvzrdjNm1GRhTZ2zq1NnYzpqF3YHCGIgBAtJ5n98f97uPHHfAAUcpz8fj\nHsrnPgUXn9fnHa83oijq5TqhiyFDhrBp0yYtayY1WSFsPDw8ePb4JddjUo4OJxeZ6RWd6sjm07ox\nOiOZuoSs9LNcFTkWY6NQVG8Nyv+fckUCZnXSV46SkbpO9XuviqIfw21UWcKncbtY9l4gTsz8pKXs\nwNraGh8fH169eiVd3ypVqoRcLtfbSxzyBedng6+vL6ampgiCoOUbpw8FChSgYMGCzJ07F4DFixcj\nimKK4wvLlStHx44dWbNmDVu3bmXPnj00adKEsmXLahgw68LR0ZHAwEDmzZuX670P9UEmk2n9nWrU\nqKFz+k/VqlW1bKju3LlDhw4dJKspNadPn87ULOx27drpVeZgCDJqtJzVxMXFSa/NwIED9R5pmFmi\no6MRBAGFQsEvv/wiLb958yaiKLJt27ZMGTGnhpWVFa9evcqSfeuLuhM8aenMf//9R0BAAEWLFpU+\n95GRkfTt25d169ZJF+4ZM2Ywe/Zspk2bRsmSJQE0JgAdP34cZ2dnRo4cye3bmg2zu3bt0qpdFQSB\ndevWad04f/HFF1pZDEPQo0cPSXQuWLAAExMTYmJipHG9mzZt0itCmRKDBg3it99+Y+LEiTRo0EAq\n21B7Y6ofhmKRkz21K7pzOXoWYVGqLvDknekWDUIy1RCUVGjWLftWslRKegzQLTyt+iwDIOrUKkyq\nNpeWy2yK8KqdYceRpvU9ZyUvziQ7JbayCgCsCrbkVfxlIPdGOZNStGhREhMTpaCRUqmkWLFitGvX\nTq/t8wWnniQtXs+LlCpViuLFiwNgbm6eLqHi6+uLTCbj4cOHgCotpKteKTmDBg3i0KFDODs7M3fu\nXAYOHEhAQECqXnoJCQk8fvwYNzc3li9frrOb/FOmZs2aWl6rNWvW5MiRI1qpfWNjYy3v0RcvXtCh\nQwepuUTNsWPHtMSliYlJtkTtlwappoukx1w6O4iPj5dSlj179uS3337LtmMnNcFfv349SqUSURSz\nxapqwoQJXLhwIcuPkxrqRpOkgrNEiRLMmzePWbNmYWVlRdGiRbGysuL58+fcuXMHURRxcnLCycmJ\nadOm8fjxY2xtbRk7diwtW37sAlZHH69cuUKFChU0jtunTx9WrFihdT7pHbWZGdRRIV9fX4KDg1m0\naBEmJiaULFmSt2/fMmTIkEwfo3///rx48YLw8HCKFStGjbKqAEHxRzLpYQimFATPrvGYNupHEdtW\nnL5Tn9NdPtb669sopAtddZnJhaY+mDZUZQgiDy9AblMEeTFVNNy0Xg8EQdC7CUlfdIlOUVTiW0ml\nIQRBYIjtc5qaqyLQu8IacjZynEHPIatxdnZGFEWuXLkCaLpNpEbuugLkUkRRpGvXrjl9GpnGz89P\nKoqvW7cu06dPT3Ob+fPnS7UbHTt25NKlS7i7u+sVRldHcAC+++47KlWqRExMTKrifeDAgUyaNIkL\nFy6QkJCQ6RGQnzJqa5KklC9fXudc++LFi2tFU/39/Vm2bBn379/XWH706FEtQ2elUom/v3+GyzJy\nk98cqDqc1WMSO3XqlGKXeFZRv359qZ5w+PDh2Vqu4+zsTFhYWLYdT83z58958uSJ1NTSs2dP/P39\n6dOnD15eXgiCwMyZMwkODqZHjx5Ur16dp0+f8vr1a5ycnChSpAhBQUHMnDmT8uXL8+TJE/777z86\nduyo8X5V12P+999/ubY0x9jYWPIJbtSoEbGxsfj6+hp0fGrp0qW5f/8+q1ev5oHvbDZEled9whOW\nBqHxyAxJI6XluuzD2LoEoUu+wrzOG5p8+zRDAjE1PL0d8fR25NzvzlqRzJTErSDT9MxUuLRV/ZtK\nd3pmSS46A4KP4vNmi8bfq5bZWIbYqK5vd2JWs+y9kKmyt5zgyy+/RBRFnSIrD0EAACAASURBVDdx\nusgXnHqQmJjI7Nmzc/o0DMLUqVN59OgRAIsWLUIulxMfH6+1XlRUlHQBALhw4QKHDh2iYcOGtG/f\nXi+xWqFCBby8vKhduzZnz55l7969LFu2LEUD98DAQPbs2cOZM2fYsGEDSqWSuLi4TPy2+aipXr06\nCoWC1atXS8tat25N48aNtSKq1apV06iJA1XqecGCBRqROVB1POuKyCxevFgrnRkUFMSzZ88y+6tk\nGqVSKYmSVq1aZVvzVG7Bz89PryEMSXn9+jUeHh5azUYLFizQcmu4e/cuHTp00LKQu3HjBs+fP5ea\na7Zv306RIkXYsGED5cuXl9YzNzdny5YtnDhxggoVKkjNNE+ePKFfv36SE4a1tTUJCQlaN0xqChfW\nPeHlc0IQBIYPH86oAq+xTyjHtvCqjBo1Sud3fnpRp4DVtZXP6sfjcGofJMQT0P8bxGTvFWdPU41o\nYnqsktSk1XSUUre6zaSjKL5QBY3MGg3BovMPWPcujUWDEL1mumeWQtaNKWj9ldZyW3kFJtoloBBU\nNfWmpqaS7VdeInngIyXyBaceGBkZGWx2em6gcuXKxMXFIZPJpLnC6mYFUKVf1fVjlpaWxMbGajQZ\nLFmyhH379nHu3LlUj1OuXDk8PDyoV68eCxYsQKFQMGnSpBSjDrt27aJ+/fqUK1eOsmXLEh0dzevX\nWf9l8Llga2vLF198tABxcXHh1q1bWjZOpUqV0poWZmpqiru7u9bnoE+fPmzevFnrWM2aNdMYFwiq\nkZa60tbDhg1j+/btGsvu3LnDmDFjiIzULKrfu3cvZ8+eRRRFqQ7xw4cPnD59WqvrPzAwUKvuValU\nSmLL1dVV6hDPzYiiqPUaxcfH8+jRI62ms/v372uVTiiVSubPn8+dO3e4desWjRs3ZuzYsRw7dowB\nAwZoHa9fv37s3btXY1loaCh+fn5agnPw4MFao2Br1KjBkSNHtKJ1ffv2lcppXFxcMDExwcjICCsr\nqxQjvIIg0Ly5qu7O2tqalStXcurUKX766SccHBwoXbo0bdu21dhGPWTi7NmzOvf5OWIqt+Eb61Mc\nPXqUXbt2UbFixUyViTUaFo9n13iur/PXEHZBi/8iMfAdcQ/ucbTLPCkSGXnFNlVroeToEqL6RjST\nr2PRIATbwdUounUlFg1CKNDeHIt2kzOUVUhP+j1plNPYqAA2Fqp60eT1szJBzijbjzdnNWvWzHJL\ntpwiX3B+phgbG5OYmCjVYlapUoUlS5ZQv359qQB47dq1hIeHS6lHNSVLluTnn3+mR48eqY7GEwSB\nVq1a0bZtWy5cuEC/fv1S9ajctm2bdAFUm5J7eHjkSPrvU6Rs2bLUr/9xXrAgCHTu3FlLXBiCOnXq\nSB6toBJCL168kCLmSdm4caNWJ7azszNTpkzR8posXbo0hQoVYteuXRQvXhxBEPjzzz958uSJdAEd\nNWqUqjbL2VnDCFsURUlsVq5cWaOOccuWLYwaNUrr3Dp27Kgl4A4dOqRhW6Rm8ODBWvZXly9fpmPH\njlrCeerUqVpdxM+ePaNTp074+vpqLF+6dCkLFy7UWBYZGcmOHTu0aqeio6O10nKCINCsWTOKFStG\ny5Yt8ff3x8TEhGbNmkken0nZsWOHZECuplKlSowYMULLPqhw4cKYm5uze/dumjdvnmYzkrrW8u+/\n/051vaQk7WKPioqiRYsWnD59mrNnz+Lj44Ozs7PG+rt27cLCwoKiRYvqfYxPGXWz0NIgaNOmDa9e\nvSI2Npavv/46Q/ZYUwqqRjsmF4/OnqaUjVBlr+SFixB1+jjh+2ene//qxiBAahBKb2o+rfVTazJK\nCUPXeiblSvRsAKoqVONJZ8+ejSAIJCbmzmbLjJI/Sz0fPD09qVevnsayN2/eaEWokjNixAi8vLz0\niiTcuXOHJk2acPbs2RQbI+zt7Vm+fDkDBw5k+PDhREdH899//+Hi4qLRyZuP4YiOjqZ9+/acPHky\nUxNVdBEfH09gYCBXr15l/fr19O7dmz/++IMaNWrQqFEjKleuTLFixaQu8bdv3+Lg4KCXIbkoiri6\numpMqDl8+DAdOnTA19dXY8Rj5cqVuXbtmjSRqmrVqjx48MCgv2teYO3atVL07/r16xrR6tjYWF68\neIGZmRmlSpVKM+WedLuaNWvi7e2Nvb09MTExODk58eWXX7J8+XKNdR8/fkyVKlVQKBQZjq6NHj0a\nd3d3Ro4cyZo1a3S+VyIiIjA3N89xY/vcwpSC2rWab9++pVy5csyYMSPd07QcN4VLXedq4VZvpKoh\n9WzfcAKH//+seyMTSIjDaugmzOrpniWenKRiMynqMZjqdZKTlsBUz2xPC33EZ3qEZ0oz15M3bS17\nr4q2TrJTsi6kMFHix4jn8+fPtZrfchv5s9QNxMuXL/nrr79y+jSyFLUANDIyYvDgwYiimKbYBJg1\naxbnz5/X6VWXnJo1a1K1atVUPTg3bdrE+PHjcXNzY/v27UyZMoUNGzawY8cO1q9fr/8vlI/emJmZ\nMXToUINPdrp69SpNmzZlzpw5vH79mn379jF48GDOnDnDkCFD8Pf3Z+3atfTv358OHTrQsWNH2rRp\ng6urKwsXLkzzzl4QBC5dukR4eDg1atQAPk7C8PLyQhRFyefx8ePHktgsV67cJyc2ExIS9Kp1PnRI\nNdvZxMSEUaNGUaRIEaytrVEoFJiZmeHi4kL58uUxMzOjVq1aLF++PM39jh07Fn9/f968ecP169fp\n1KkTpUuXZtWqVVp+plWqVAGQ3C4y8ntZW1tjZmbGsGHDUhSUlpaW+WIzCboagxwdHWnbti1r1qxB\nEAS908vJrXsir9hSb2RxacyjIJNhP+sn1ZMJqtcuYpemo4k+tZt1FX7SQ30c9bbSOumIfuobIdXn\n3PQtCwDNtLpSTOCpv/YY0Cil6gUSkCEIgiQ21YNVKlasqPfxcjv5n8o08PPzk0yyP1XUdW4JCQk6\nU2wpUaxYMSpVqqR3eqxSpUoataLJ6dKlCzdu3CA2NpaRI0dSrVo1nJyc2LNnDxMnTvzk0gvZzeXL\nl3U2C/Tu3VsyGE9e85gR7ty5w/z58/Hw8GDDhg2MGTNG8hZVzwQfNWoUK1euZO/evRw5coTDhw9z\n+/Zt/v77b+RyOZs2bdLrWJaWlty5c4fQ0FCp8aRFixYIgoClpaVW88uLFy8y/fvlBkRRZPPmzRw5\nckQSjSnVVEdFRXHw4EGpiSYuLo4yZcowffp0fvvtNy5dusS///5LfHw88fHxnDp1isqVKzNv3jzs\n7OyYMWNGirYn5cqVIzw8nDp16lCiRAn2799Ps2bNWL9+PZMnT+bIkSMkJiZKE64AjQah1GjevDkK\nhQJHR0dp8s68efNo3LgxtWvXZsaMGbliYlJeIz4+nl69erF3716pRv6nn37Sa1vPrvE4e5pKAtDZ\n01SrI1tWVHPiktxR8/VOKY2tK7rpGVtCei6pNVJGut+/KPOGqib3qaRM2xJQH9Gpr/BU/31kghHx\nCapBG0nrOE9GqJouu1md4EnsLgCqKYYQu+1/AKnaCOY18lPqnzmJiYm4ublx/vx5fHx8eP/+fbqm\nXHz11Vf069dP51i35KxcuZKzZ89K87z1JS4ujsKFC3PgwAG9u+Hy0aZTp04cOHAgxejPnTt3mDRp\nEtu3b5c8WzNCly5dcHd3p0iRIhnaPiEhgTZt2rBq1Sqt2fZpERQURPXq1bWazWxsbPSKxOcVIiIi\npOY7FxcXwsPD6dSpk4Y9SUREBNOmTWPTpk0YGRlRtGhRqlatyu7du/UamZiYmMiaNWtYtGgRb968\nwcjICGNjY0xNTTEzM0MmkxEQEIBCoSA6OprChQtjb2/P48eP6dSpEx8+fJDqZNXC8MKFC3pPOfr9\n99/p168fgJQdGTlyJKtXr+b48eN06dIFURSpWrUqnTp1omTJkgwYMCDPT4TLKiIiImjTpo1GGYra\ndF6fv9mUgrB9kWaTWtLZ5klTzdeudSDugar2WV7EGfu5nqnuO7nYrKvwk8Rm8nR48vXUqNdPTnx4\nJO9vPOLtmWu8vXATuamCZmd/1bnv5Bgqxa4rta5Oq6vT6ZPtRen/4+wiOBzelX/jT3H+/Plcf937\nLFLq4eHhCIKQ342YCTZt2sTWrVuZM2cOCoUCY2Njvbd9/vw5N2/epHv37nqt365dO/755x8GDhyo\n1RiRGiYmJgwdOpRFixZ9EpOHcoo9e/akmmqsWbMmGzduZPDgwVrdz/py9epVSpcunWGxCarSjt9/\n/51Jkyal++akYMGCBAQE8Pr1aymNbmFh8UmJTVBFds3MzNizZw9XrlzB29ubBw8eULduXbZs2YKb\nmxv29vYcOHCALVu2EBERgZeXFwcOHNB7PrdcLmf8+PG8fv2aoKAgbt++zdGjR1m9ejWTJk1i2LBh\nPHz4kKioKN68eUOdOnV48uQJoihy8OBBzp07h1Kp1IhCpmfK2bfffsupU6cwMzPj3r177N69mzVr\n1uDq6sqRI0d4//49Hh4eODk5sXHjRtzc3Pjuu+/yvyOSERgYSNmyZbGyspLE5urVq3n69CkJCQlp\n/r3UM9fVYlMtsJILLXXU72ndGKxHbAeZqiY88XXaM7dTilgmFYRJI5tJ0+3S80nS8OpHLbzx++sM\nN0fN5+2Fmzg0rEXQ1fuE3H+e6nHTQ1qRzpTqOAECE1TlPQ7y6iSKH7NPv7y34N/4U4D+lkN5gTwt\nODt37gyk70ssH0169+5Nv3796N+/P927d0+XUfLGjRvp2LGj1gSclKhYsSI3btxAFEWqVauWLhEw\nbdo0bt269cnX02Yl+giN8uXLM2/ePDp16sSZM2fSnbL85Zdf9JpClRaOjo4cOHCAw4cPs3Tp0nRv\nX7hwYT58+IAoilp2SZ8KpUuXZvv27URERKBQKDhz5gw3btxgyJAhHD9+nN9//51Xr17Rt2/fTEf9\n7O3tqVatGk2bNqVv375MnDiRWbNmSRFoR0dHKX0uiiI+Pj5s2bKFb7/9VtqHtbU1rVu31vl6JCYm\nsnDhQmrXrk2NGjWkkoo7d+5QoEABZDIZ3bp1Y+7cudjb27Nv3z5sbW05e/Ysf/zxB/7+/hw7dox1\n69ZRsGBBLVcAQ/Dhwwd27dpl8P1mJaVKlaJQoULS5LG9e/ciiiJjxoyhdOnSKJVKrWyAWmCmhlps\nPq0bo+WvCSCYmGEz+ePNYsI7zclnSZFS5TpEZHLSWsfv1kv+XnxA+t4yUhjTxLUQluZyWo9rQc3F\n31Gyewuer/roJpHRFH1S0lPXqca/ipKD4SoN09Fqn9SpvnLlSm7evKk6t0/IjhHysOAURVGqHWzf\nvj2tWrXim2++MegxXrx4kSVfXLmJAgUKsG3bNk6fPi2Nm9OHp0+f4u7urpcBfFIqVKjAqlWrCA8P\nT1ckwt7entmzZ7NgwYL8uq0spl69euzfv5/Lly/TsmVL1q9fr1f9bEhICAkJCZmKbiZFoVCwYcMG\nbt68ibe3t0H2+Smxc+dOjh07xrNnz6TGKTV+fn588803OZZeLl26NIMGDdLwV1Vbnemqox05ciRz\n586latWqVK1alREjRnDo0CEePnwolXcIgsCsWbM4cOAAb968Ydu2baxYsYIFCxYAqtrdadOmERwc\nnCWjiJcvX06fPn3ylDG32rbu/PnziKJIqVKlEAQBd3d3aSxu8hpBdX1hUuGZ2uz15PWMavFpUqGB\nNEYyZEHjdJ23Z2wJ7ehmEqFZN8hH5+P+/J0ovLypH+xL3SCVyHWsVByXHl9xf/816ir8aDWoLv4H\nteuddYnOzIzmVJO8xjU04r507fugVH2v2corcD1a9T4eP368NJ71UxvtbFgflGxEPfln6tSpBAQE\ncOrUKYMf44cffmDNmjWSCfqnjNpcWR9EUWTkyJEMGzYsQ/W6b9++xcjIKN2prwEDBrBixQpatGjB\nli1bKFWqVLqPnY9+2NjY8OOPP5KYmMimTZto06YNS5cuxcXFJcVtAgICKFFCdx1VRhEEgblz5zJ8\n+HD279+fa0cV5gQ1atSgYsWKDBs2jBcvXlC/fn2uXbsGkGvqGKdNmwbAuHHjEEWRQ4cOUatWLWxt\nbalevTpNmzbF2dmZLVu2cPDgQdq3by9tO2DAAGJjY3U6KMhkMnr37k10dDTDhg3jwoULeHp68uHD\nB7Zt24a9vb3Bfxf19K3Tp09rCHylUpnru+LVk+PU+Pr68uzZM0xMTLC1VdUpSlHNKrr3kVqtYlJf\ny6Ti02byMd5PKI0YGULMnSOY1uygczs1SeswddVqqkVkStT6qhz7t6jmeycmKqnz7iUymYx7YUH8\nGxNHfEwczq1rYl/KniIPzvG6WhON7euWfatV16m2gEoLdbQ3LbzfbKF80ZHIBFX5WmWTflqd6uqo\nc1J7t0+B3P0pSYW5c+cCsHDhQr7++mtA5S1nSFavXp2uBpq8zr59++jcuTNr165NcQRhTEwMvXv3\nxsfHR3oN0kvFihVp0KCBzqkzqWFhYcGdO3coV64c1apVM/jr/Snz+vVrLfNwfZDL5QwfPpw//viD\nOXPmsG7dOp03CgcPHmTcuHFaBu6GwMnJiTlz5tCjRw8pSpaPKiro5eUl1eJduXJF4/sqISGBadOm\npcv2xtCoyyF+/vlnVq1aha+vL0FBQcydOxdLS0s2btzIgAED6Nu3r4bYXLNmDeXLl2fAgAEMHTo0\nxdHCgwcPJjExkdOnT1OyZElq1qyZJe9BUE3PApXgBDh58iSCICCXyw1SRpKVqKcxOTg44O/vz+LF\ni7l+/bokNtWkFskEzTrNlEgquuSWdlh0nQ1AmHtfxMSUB3+oxaauWkx1BBOg7r3n0kON+ucfKtsQ\nFhDC23WnkMtlyGQyoiNjOXvgLvWrFOSrCNVggrH/LKBEnfJ8YaI9uCSrIp1qqpaeg6VZOSxMy9DU\n/BfaWG7T6FRXD48YPHiwwY6ZW8iTEc5jx44B0KBBAxISEqR0m6HrHbLiLjk3c+3aNQ4dOkRkZCST\nJ0+mZs2ajBw5km+++QaFQsHly5f56aefOHnyJA4ODlJTRkYICwvLUDTMysqKjRs3YmNjw4IFCyRv\nwXzSRu2DmBEcHBzYt28fy5cv59tvv2XZsmVS6vz8+fPs3r2bEydOpKvpLD00aNCAOXPm8M0337Bv\n375MvffyOqIo0rdvX3bv3i2J/4CAAARBoEyZMgQHB2sJzFatWuXEqdKmTRvJpkqNnZ0do0ePZvTo\n0SluZ2NjI9WxJSQkpPpdMXLkSDp27Ejr1q0Nd+I6cHBwAFSCM+nvY2lpyQ8//JClx84s1atX58KF\nCxoWf48fP5asslKr2fSvotRKC4Nm3WLY0SjeT6tE3d4vwLKkRo2neesJRB1fiRj9geCfXLH/8YrW\nvtRRxTGVbkrLkkczY2Pi2Tt6B93/8eHlzr4YG8k0RCeAwkTO0HaVmL31Jk5nXxBb0oGHN/5FYWZC\ni261pP16FiyD380XFK1RRufvnJlIZ1qYGFlL/69lNg6Al/GHASht0oK+fVXvreSTyD4F8qTgVI9e\n9PDwwM3NDSDfGNwA9OrVi3Xr1jFs2DD27t3L9u3bWbBgAUOGDJHKCkJDQ/niiy/4999/M3WssLCw\nTPmLjR07lvLly+Pj40OZMrq/NPL5SJEiRaS6oIwik8mYMmUKt2/fxs3NjerVq1OwYEFOnDjB/v37\ns0xsqqlbty4zZ85k4sSJevt0fop4eHjw559/IooiRYsWxcvLS/oshYaGaqy7YsUKvvvuuxyLcKqD\nA5nByMiIIUOGpPi8u7t7po+REapXr8758+e1ooS5iVq1anH79m2uXr2q9X0bEhKiceOmjm4mn4Kj\nJqWoprOnKTf9VCNko0KfITcyx/v6DJwaqZYJgoDN1BOEzGlAov9DYm7sx/SLrgAa04pAFeVM3hQU\nGR7DrYWH2XLsKS8DVGOO34VGU+a+ar24ps6Y/P2xE35WUXNq9KvFkl13kSHny+aVaNa5BqUrJqkJ\nDfJh0be/8MWAJjSb3jVFS6X0om9aPTkjbV+TIMZodKp/iqV8eS6lnrR5wMbGRipKHz58eE6d0idD\nnTp12Lt3L4MGDcLT05Nx48bx+PFjnjx5wpkzZ3jx4gWWlpZYWlryxRdfZOpYzZs3z5SdVYkSJejU\nqVOOXWw+Z2rVqsWRI0fo0KEDFStWxMPDA0tLy2w5tqurKwqFgjt37mTL8XIjO3bsoGTJkuzevZtX\nr15pCIkOHVQ1cupu5AkTJuSaes5PiZiYGO7du5erxSYgRX3VfqhJ+fDhAwUKFEAURZRixodqPK0b\ng3BD1cD7tn0dHp7swtvnWxGViVS8JkeMi8a4eBUU/z/eMmzjQMQ0Gj/rBvlQ995zTP66Qp/6i5nz\n+22ql7PnkVttoqc0pFjBj2Isqdjk4GPMjeX0jI/jqntXjoz/kl/bl6cfUdIq6qxAg5GtuL3zoup4\nOjrfszq1rrFfWWGs5aUJTlSVsm3YsCFLjpPT5DnBWb9+fQDu3bvHxo2qO6ik1huGQBTFT7J+Qh/a\ntm3LqlWr6N+/P+/evUMQBMqVK0ft2rWxt7dny5YtnDt3jmPHjvHo0aMMH+fFixfpNvVOzrhx4/j1\n1195+zbzXmr5pA9BEPjyyy9p3759lkc2k9OsWbPPtn53yZIl/PXXX/zxxx/07NlT63lnZ2dAlUHI\nJ+vQ18s0p1ELTvWY16SEhYVhbW1NoUKFWBFsxPubm+k0cg9LAtPvYxr5/h4Ale7aEv5O9dkUZHKu\n7yxL4GhVZLHAgNWq+epA5MF5GtsntSZSRxvDo+LoOusk5pYKdlyawsS/RlO+R23iGzux9/xLJniF\nMvrJe3ZgREB4rGpHnVWNXWpRaWulwNhIJXMSElSiWhAERFFkaOvSvHv6ivc+KV8/skp0vgu9gPeb\nrVrLHYyqEhISwrBhwzJ9jNxInhKcMTExBAYGAqp0hjqquXnzZoMfJ2kB++fGoEGDaNKkCV26dNEy\nAP/mm2+4dOkSrVu3zpTBslwuJzY2NlPn+dVXX9GqVSuGDBmSb/acBk+fPpVsUPI6rVq14sCBA5/V\nax4REUHz5s35/vvv+f3332nQoIHO9dTlJWrfxU+F+/fvk5CQcsNJdqF281Bfh3I76gDNiRMntJ6L\niIjA1tZWqu0+HTWM3r17S84ChiA++qNgC1ncCpm9ylkk6vhyEsPf69zG09uRS6aFaTL/PAHvo1iw\nbSBFS9kjiiLDjntTov9uvp1/lj03XnHkwTv6L/ybYmuuU/SPB/QJkxFYryzxzSoRn6CUovuJiUoa\nPHoJqMSoIAjY2FtQo0FZrrir/jZpeYAaEmuLapR4XVTnc5/yKO08JTiTmu56eqpGZZUqVQoTExOD\nHsfMzIyuXbsadJ95CUEQ2LJlC+bm5rRr107Li7Rhw4YcP36cqlWrZvgYgwcP5qeffuLdu3eZOs/1\n69dz7949ZsyYkT8AIBVWrFjxyXR4W1hYUK9evc9mwtjRo0cpUqQIL1++5MmTJ/Tq1SvFddWC81Pz\nLV2zZk2uEHktWrQAyDPvPXX2wcvLS+u5uLg4oqKiOHv2LMbGxri7u1OhQgWd38mpTcvRB2dPUxJ8\n76B864W8cEUAQhd9tOLz9HaUHnXLvmXrzGM8e/QGtxOzCGz4JZ4Fy7Bgw222rThDlR5fM/XRL0zy\n2UiDhx50+vc4Df5YiEXb5uzdep3yIw9xyLYgK/feY/B3B+k99zRT1l9j8v+Osr7PBjb8dIzlU/5i\n0Xd7iItJwHOrtidnVqMwtqOMSdY2ueVG8pTgHDhwoJTKqFevHoDGXNh8DIeZmRmHDh0iNjaW5cuX\nG3z/PXv2pFGjRowcOTJTkSpbW1sOHjzIqVOnKF++PO7u7qxatQpPT8/PKgKWFosWLcLRMfW5wXmJ\nCRMmsHjx4lwR9coqIiIi6NatG506dcLNzY2XL19Svnz5VLdRe9N+aoJz8eLFUpd4TqIWnGprpLzM\nrFmz2LZtG7Vr1yY+Pp74+HhevnzJjBkzNNZTNxGl1AzjdF0V8FFYlqLIU9W6piZFpO9fI8VHtxdB\nYYnNxCMAJL57SewjbeEuiiL/7TlFyX4dOF18CGue1GHn2huc+GEXNqMn8qLWHvbSmTVP6uDp7cj9\nyMqU6NqMke692P3PJIwSE5g74g8iq5fhYUwigiBw72UQB/77wB9nvPhj9TkObruKx05PHt74l+iQ\nCHwupz1+MylZVcv5qZOnBKcgCMTExGiYlOcXxGcd5ubm9OvXT4omGxL1tIurV68yffr0TInD2rVr\nc/PmTaZPn87WrVs5ffo0LVu2pEaNGmzYsOGTFiX6Ymdnl+vNqdODra0tvXr1ynPuFBMmTMDW1hZ/\nf39EUSQuLk7ne3/jxo0ULFiQa9eucfPmTVasWKHX66fO9nxqKXVbW1uMjHLeVEU9+OBTEJzffvst\ns2bN4sOHD8yZM4cVK1bQt29fKlasmOI2ukRnRJCqga+4ZUtCI+8DUMS2FdGhKhFnW7wF0WGqdLZJ\nlWbIbYtg1nIsAB9+7qJlNZQQGU3MmyDs66oyaAmB77g1cQVWPb/F2OVHnD1Nibxiq/E497sznrEl\ncCxmw4KtA3l405enWLLm6nS2/q8Jp5a2x9RE9f4Z2akKE3tUZ3y3atT6ujyiUmTN199zcs4eogNy\nNoq+NChHD5/l5Mkr0OnTpxkwYAAAxYsXN6gg8vPz48oVbZ+wzxVLS8ssS8U6ODhw/vx5du7cyZgx\nYzI1slIQBMaMGYOnpydHjhzh1atXtG7dmhEjRnD//n0DnnU+uYVBgwZx5MgRgoODc/pU9CY8PJzQ\n0FDq1KlDjRo1UCgUmJiYUKZMGQRBoFChQlSoUIHRo0czf/58/P39qVmzZrqPk99IlzWoRb+fX/bV\n+2UWdY2mrpr52bNn4+PjQ7NmzfDz80t1vLE6ra6ena5+BPudBKCw8e/kDwAAIABJREFUXUvehKgm\n/hWxbUnibVX00q54C0L8VQLdpKoqWGTZbS6CuapWMeGdZjT+0nZVM6p9HVUDUOz9OxAfh0mdWVKA\nqekOC42Hs6cpnt6OrLFyJbJ1YxwrF+fNw/+4ZleKu3UqIZfLuO7ehfeHBvHzmK/o8HNfuq8bwC9/\njeCn31Ra4tScP7nefjivPC6RGPfRniizc9ZTQhRFnsXuzZJ951bypOAE2Lp1q1TTWa9ePY36zszg\n6emZK2qFcgtNmzbl7t27rFixIksihRUrVuTSpUucOHGCtWvXGmy/FhYW+Pr6Mnr06AyN38wn9yOT\nyZg8eXKqF8ncxpIlSxAEASMjI0JDQzl16hSnT5+WfG0DAwNxdXXl33//ZdKkSfkZnHwyjbpT/fLl\nyzqfv3jxIg0bNqRNmzZpDjsp+kyuVc8Z4q8SmY42zXgdrBKfjrbNeR2iasaxLd5CEqUmVVTTmgSZ\nHNv/nQETc8K3j9OI8sc9vI9R0eJYVVCVhyS88gcjY2QFHGm6w4Kiz+TsuiDTeBR9JifioiWX/4nH\nM7YEptWr8vbpKyLefeDmRS/mbrtJxX67aD/9GNerV8DISI5nwTKIokijdtVYdXAkMrmMt0/8+af7\nJDwqd+HN34bP7CVFEARexh3J0mPkNgwuOH9umvrUAkPSq1cvbty4AUCfPn20ak8ygrpmKh8VJUuW\n5O+//2blypUULlyYGTNmZLq7PDmlSpWia9euOgvbM0pwcDAHDx5k7NixBttnXiUhISHF0YAA7du3\np1+/ftl3Qgakfv360ndAXsDOzo4uXboQEhLC2LFjadGiBU2aqOY59+7dm7i4ODZv3kyxYsVy+Exz\nF97e3gZ3I/lcUAtOXZ3q8NFCKKNlTWFvVRlBI7kl7z6oGnAUxvZStNPEvLAU4ZTbFZe2MypSEbs5\nnsR7Xyds26/S8ugb11BUc5F+jj+wDbOvXBFkMoo/UglMXcRc/xP/Fl9xuMUUgu885bXXW+YUHcqE\n7huY//tt3ofFcuPZO5ZN+Yvrfz/F4Z+r3HAoqzpGx+bMfrMF1/HtKVi+MGUHduThnKwr11HXxba1\n2p5lx8iNZFmEM7tEZ506dXj1SjUfdeHChTRt2jR7DvwZoZ4stH//fk6ePEnfvn0Nfgw7Ozvev9dt\nk5ER3rx5g5GREU5OTgbbZ14lJiZGGmGnCw8PD37//fdsPCPDYWlpmalSjOzi8ePHuLi48PbtWxYs\nWEBUVBQzZ84kMTGRK1eu4Ofnx86dO7Pd0zSvYGlpmStqOAHpOyU+Pj6NNXMHDRs2BFIWnI0aNeLZ\ns2ecPn1aZ010WvPVjeRWAOy5lLJbjKiM071twZJYdPyeEPdfJMGb8J8PJpWqSB3rsUEhmLrUlM4l\nJW2hDAnApEo1TOvUJ+pDLAkR0RhZmKGwNKVfi4rsndOSST1cOPbHdU7uucXSyftY+cVUVux+wuOj\nN7Gwt6L+8BYE//eeCiN7EHL3GeEvtGet55NxsjSlnl2is2jRopLH4Llz5zAyMsrvUDYwcrkcV1dX\njh8/zpkzZzh06JBB/8aVKlUyaGe5lZUVUVFReeaikJVYWloyYsSIFJ9XT6e5fft2dp2SwRAEgSpV\nquR6t4pdu3Zx//59ihcvjrOzMzKZjNjYWLy8vPjyyy8pXrx42jv5jClUqJBUt5/TqDvV80pk3dRU\n1ejz4MGDFNepWLEiS5cuZfz48bx+/VrvfRd9Jqf7V6FULz1fY/mZyy4pbKGNebORiDGxRF06p/LI\nNDMnMVBlzeTp7Yipoz0Jbz6ek7qxxt3dHUEQWLRoEbHxQcR5XUZRpToKlxokvnuLKIq4LBhLh1dn\n2TS1MR0blKb9l6UBmPZzD3ocn0Obeb159/QVl9Yc4+d60/A6cx9BLiPCJwCFgy3Bt57o/XvkkzZZ\nXsM5pWD2CE8zMzOUSiVmZmYkJiYik8nSbXQdFhaWL1TToFChQixbtoyePXtSvXp1g018admyJa9e\nvcrU9KKkFC1aFIVCwZMn+V8YabFo0SIApk6dmsNnkjFmz57NDz/8wLNnz3L6VHQSFhbGgwcPcHV1\nlUbCKpVK2rRpkx+Bz4N8StZISRk/fjzVqlWjZcuWGtOGdM1WT17LWbnk/+jlmkgDszkABCU+lJ6z\nvhfw///TXY8sGCswqdSID7+uRYyLJfHtG4xKlJKeV1auS8SRA8T73AI+6gl1qcD06dM5cNURZUgA\n8a+NeTPkWwRjY1pd/4Pyw7ojN/mYNUj8pgHFyxdi/+bLmNtaUq5RZer0b4xY3hn/my+5ueMColLk\n9sRlWJYtTomuzfD0zlo7uVjl56M7sq1pKDuEpyAIREVF0apVK0DVOOLv76/39qNGjdI7rZu0c7tD\nhw48f/48fSebhxk6dCjBwcG0bt2a4cOHGySlaW5uTq9evejWrZtBRKdcLqd79+78+uuvaa/8mVO5\nsqobNK+YWSfH2tqaHTt2MGHChBQbI7KbyMhIDh8+TM+ePbG2tubo0aNcvHiRq1evYm9vz6tXrzh2\n7FiWNAXllbGLeZXGjRsDn57gBFXa3cvLi8WLF2do+wbmP9DLNZFGVT2kZUc8SwNgYVclRS9P0/q9\niXv2BJnCFHkhRxKDP16H7f83GxMnZ0KXd+Ch2VEprV62bFmUSiXtLVUNw4mvn6lEqajEbuosnsjq\nSPvwdKmIp0tF5HIZTTu5sH/LZf74+SoL685i1ZfTCT17iZorp1B7vzsFKpUh+MZDnMb3RWac9WUc\n/0R/T6jyZZYfJzeQ7V3q2SE8T5w4wcyZMwEoUaKE3lG4iRMnUrBg2icXFRWFjY2N1JBy9OjRzy5S\nYW5uzrx58wgKCsLDw0PreVEUqV27droE36+//krXrl1p3ry5VJebGYYMGcLOnTs/e4uY169fExER\node6iYmJWXw2WUOxYsX4888/mTVrVq6wSapXrx6dOnXiwIEDWFlZSct//fVXgoKCKFpU91g7Q6Ce\nNvSpRU1evHiR06cAQIECBYCUu75zI+XKlQNI02mkYMGCbNy4kZkzZ9Jmz98AvEu4y6nb9Th8vTSi\nmHZwofgjGUXsWtPLNZGWNT9eeyODH3LxVxMKH9IuRTCp2gwxMpLEkGBMnCoR4/nRmlBmbk7hjb9j\n7OzKw1Oduf3iO7ydQujdSMlUBwHLWj3o8XUcFV03kvjuJab1GmDVTTWNSx2d9CxYhgDf9xzbfYOb\nF7wIDPjAw582UqTll0y6u5z/PVlNheHdURS0wcRG9XmN9HmVYnQzuXdoZqhtOhEzIXV3gE+FHLNF\nymrhOW/ePP78809A1cmqT1OEvvY55ubmgGrcWtKfDZUOziuYmpoybNgwZs+eTXBwMOfOneOXX37h\nzJkz/PDDD9y+fZuAgIC0d/T/yOVyFixYAKReb6QvjRo1omXLlvTp04e4ON1F658DGzZsSDPd/OOP\nPwKwfXve7Zq0srJiyZIlTJkyJadPRbpxtbe3Jzw8nMTERJRKJUOHDs3yY5ctq+q8DQr6tFykJ02a\nlCcaxHIj6vSzPsGX/v37M3bsWNq0aYNf3AV2ffia4IibRMX6kVJaPCXsrOrQyzWRdl88QxBU0cL7\nR5vxzq0AMbcOSevJLOwQzAoQffkiBXr2I/bubSJPH0/yvAXWo/7Asvt8ngdt4tC1Ylx61IXjFj9w\nLWo+J1+04PnFYSiqNsfq278QdDTfrfzfARaN34NdISsKVixK6b7tcFkwDr+KDRFFkTrGvii3byHk\n7jNK9mxF+IuUvVbTM2korbGgNvIymMpsP3nTd8gCwfm2rDLNrrakZKXw7NGjBzdv3gSgX79+TJs2\nzWD7Vl84li1bJhmLZ2a2eF5l2rRp2NjY4ODgQJ8+fTh16hRubm7s3bsXY2NjqlWrlu59BgUFYWub\n+TtIQRDYuHEjISEh9O7dO13i91Ni+PDhkvlzSkyaNEnj37yIt7c3RkZGxMXF5Xg954EDB7C0tOTN\nmzcA3L17N9s8NdWC81ObNvTLL7/k9CnkWdq0aQOk3KmenJUrVzJs2DD+DG9CPBGYmRTDyswpw+9h\nK7Py9Pw6lvrf+mOhKA1A2Pp+vHMrQNTfGwAQzG2IuvwOs8bNMG/eiqDZ00kI+JjpsmwYhnnLMdjP\nv4dpxylEmIThFbQZ/wcriSogYj1qJwVG7EBQmGtEIEPuPyci8ANN1o1hftjvdDj0Iz23jMaiZBHq\nKlSi8kZcSW7ElWTv8PXEh4ZjZGFGhHfeMffPK2RZhNO/Su4QnrVr15aExpIlSyTPu8yybt06AKZM\nmSKlK4DPzjReoVDg4eHBw4cPCQgIwMPDAx8fH54+fUrDhg3T/fcQBIHvvvuOiRMncunSpUxP9LCy\nsuLkyZPEx8dTpkwZ+vTpY7BGp7xCkSJFpE7VlFCnfUNC8u6M4HLlylGzZk1mzpzJjz/+mO0p5WfP\nnrFkyRIOHTrE119/jaWlJaDKtqhHImYH6pT6pyY4S5cunWvGs6qzWnkFdd3p8ePHU18xCatXr2ao\n9Qs6WR6gcon/ERuvCsF9iHzCU3/dwxbU13xdjUYAJmaFqN3/OV8NDKaA41cAROyawju3AogxESgj\ng4m6aod52/UgL8DroX01OtQtGoQgtymMRbvJKOYepn7ff7Fb44vt5KMoarbXEsRR/1zg76ZubB6z\nm4Lli6CwMEWpVPK6WmMqjumFZ2wJKW0uCAJd3/5Ntdkj8N5yUDKez8dwZPmnNzcIzyJFihAdHQ3A\n+fPnkclkGhcjURSZO3duuvZpZGRE/fr1AVUN57lzKsNbV1dXA5113sHU1JRKlSppfdg7duzI1q1b\n072/OXPm8PDhQ1xdXWnQoEGm/TkdHBw4fPgwjx49wsHBgebNmzN48OBM7fNTpEKFCkDevWmaPHky\nAMeOHcPFxYVVq1Zl6/Fr1KjBtGnT6NOnD8bGxigUCqZPny7Vk2cXasHp7e2dxpr5ZBR1p3peGXFp\nYWEBwK1bt9K13a+hZbGWleHWy7HEJQQTEe3D8VtVues9OUVRqQ9yY0tqdDxHwyGROJTrAYAYGUz0\n2XV82OyGYG6NzcRDEB/P637diQ/Q3fz7tG6MzuUWDUII27Wdd6MG4dCwJnXcZ6jEZWwJbsaXQibX\nTHN7ejvi6e2IcQFLKk8bTMurO4gbNDvF8zdkDSfAt2fvcejQobRXzOMIhooCCIJQC7jVsuYN7KxS\nroXMyJvUULUNoihiZWVFZGQkABEREVhYWBAWFsb27dsZM2ZMuvb34cMHbGxspH2rBVdMTEx+pygq\nO5gSJUqwa9cu2rZtm65tFQoFcXFxdOrUiZCQEE6dOmWwv+mlS5fo2bPnZ5tiT4nDhw9rTdkyMTHB\nzs4u1YetrS22trYay6ytrbM9GpWQkCAZpyuVSgYNGkSTJk3o379/tqSzx48fz6ZNm/D19aVp06Y8\nePCAgwcPZvvksnv37lGjRg3c3NzYuHFjth77c2Ht2rWMGTOGLVu2MGjQoJw+Hb1QfwbSc82fUhAS\nxXhWBqtM3U2M7IhLCKaVxWaqmaZ905482FT8kQzPrtreyE++iOb9tCooQz4KS2Onr7H69hfCNnZG\njI/HevBwBNs+yG1SHmJhVuMVER6HiDjwJ7H37lB+xDcM+6U7t5RlUtwmaWNQ0rnpGWkYSt6Fr6t+\nU5cGmvokkIMHD+Lm5pbivnMzt2/fpnbt2gC1RVFM0dA52wWnmpwUnm3btpVSC5n9/a2srIiIiODe\nvXt4enri5uZG9+7d2bt3b4b3qVQqefToEefOnZMeahumhw8fplmPlxsIDQ3FxcWFSpUqcfXqVS5d\nukT16tX13r5kyZL4+flx7tw5pk6dSr169Vi9erVBzu3evXu4uroSGhqqIUS8vb1p1aoVhw4dkqyC\ncjPR0dHUrFmTDh06sHTp0hTXW7x4sV71y6IoZptIzCohpn4937x5g729PQsWLMDLywt3d3eNbnFR\nFAkMDMTHxwdvb2+Nh4+PD76+vhr77d+/P9u2bUv12KIo4uLiIn1+K1WqxOPHjw3+O6ZFWFgY1tbW\ntG/fniNH8sas5sGDB1OsWDHmzZuX4jr37t0jICBAqkfMSZ4/f46Tk1OeEvUZEZwAI23fsiG0GCIf\nHSwGWz/FzihjzizbF4UDmuLsad0YQtf0QoyNROHSmog/p0vP2Uw9SdSpVcQ9OAlKJYpaHTF2aogY\nG4XyvS8JAU8RY6OQKWKI8/aChARMnCpjO24yjQZVSfNmUy0sk4rNpMuTEnnFluiLW4n3uoJVv18Q\nTMw0ni9y+DZvnm3BqdEmQH/BmVMNQ+rv/M6dO7N///4M35jrKzhzbFZYWrUeukiaas/MC3Ts2DEW\nLlyY5gVEH+7du0e5cuVwcXFBFEXc3NzYt2+fRsQzOaIo4uXlpSEo3717p9fx0qrFy2ni4uJo1aoV\n58+fB1QjK6dOnUrbtm25du2a3hNVRo0axfTp01m6dCmTJ09m5UrdNUMZoUKFCkRFReHt7S3V3164\ncEGqc8oL1kAzZsxg4cKFgCoanJLgFEVRiuinhSAIqV6M4uLiCAkJkR7BwcF6P5KjzgwYAk9PTx49\neoSPjw+lSpXC19dXa5RnZkd3qq1wUkMQBMqUKcPhw4cBVSQ9JyhQoADLli3jm2++yZHjp5dy5crh\n7e0tWa2lhJGREWFhYdl4ZilToUIFFi9eTJ8+fXL6VPTm9u3b3L17N93byQS5JDZlKLCVl+O3D5UZ\nYROAhTz9pujOnqY6U+GCWQGUH95g3nw05s1HE3PjL6JOrkLuUBqb0btQRoYQc30PMZd/J/buUQQj\nU+QOZZA7lEZwrADxMdh164l5k+YYFysBwA0fbSGZnLpl36bL3D32zhHiHp4m5tpuLLr8iFnT4chM\nVfXaAY/WEui9l0Lle2NbrFk6/io5g1qjHDx4EJlMxoULF7K0LDDHIpy6yExNiJqcuFNIGlVZvHgx\nK1euZOjQoXz11VeSoExPrU/JkiVp0qQJjRs3pnHjxpQuXTqLztxwiKLI8OHDNXw3jx49Srt27RBF\nkWHDhuHp6cmlS5f0ungnJCRQtWpVzMzMmDt3LmPHjuX58+eYmKQ8rzc9tG3bloYNGzJjxgw2btzI\n8OHDNc45t3Lx4kUaNWok/bx58+bPuh712LFj6X69TE1NKVu2rMajTJky0kPd7JNeRFHE3NycmJgY\nxo0bl99VnQbJI+rqCXH55D4G2jzgQtRUKpn0poppf9YHF6eSoi+NLDJmEO9fRcnf/VQ3wupI562g\n+USf/5WCS55qrKtLoIpKJQiCRlBHH6ui1KKYaaXT1an0d266r1/mtlVwbvIbt/fXBcDVLS7XRzjV\nuLm5sWmTKipbsmRJvLy80nWtzfUp9dQwhPBMC/ULHBgYSFhYmEaneXq5dOlSuu4KHB0dady4MU2a\nNKFJkyZUqFAh2yxT/Pz8KFmyJOfOnZMiepll6dKlGmMR165dy6hRozTWiY+Pp0OHDiQkJLBjxw6K\nFCmi9/7j4uKoU6cOQ4cOZdy4cQY551OnTtGtWzdq167NhQsXAJVHXd26dQ2yf0MTHByMg4OD5EPY\ntm1bjhw58tlfoOPj43F3d8fExEQSjyVLltSq9z179iz3799nwoQJBjt2gQIFmD9/vjQA4saNG9L7\nJ7+OO3WS1tva2dllujEwn6wnaYbxUuT3PIz9jQhlQIabfNWpdVCJyvsFThK66hsKuWtm+1KKiEL6\n/DBBv7S5LpLWbSYG+yMrUAjkxsQ9OkP0GXcSXj1BGarZE9CjYQwymaYfaEraZmmQ6gbM09OTevXq\n6XVOhubVq1caGcitW7cyYMAAvbbN04IzOVkpQB/EbMZEsMZJ0T1T+1nx3hglH6c42MmcqGE6ip+v\nNaFKlSo5Lgxu3LhBlSpViImJwd5eNdXg1KlTUrdlRti7dy89evSQfp44cSLLli1LUTyHhYUxZMgQ\nTpw4wY8//siECROQy1M3xVXTp08fqlWrxvTp09NeWU9KlCghjT51cHCgYMGCXL9+XaPWL6cRRZEB\nAwawY8cOaVlAQEC6BHs+4O7uTuHChenatavB9ql+n7do0YKdO3fSsmVL7ty5k2O1m3mFyMhIKYpc\nt27dz86mLK+SVFhGJgayLtSR58+fSe4W6RWenl3jJSHp7GlKxPuH3N5fC4c1rxEUFtJy0N2Nnl6x\nqSa9KXRIuyvd2dOUsHc3uHvoK2lZxaJjqVX+Z431UhOcoDLoP378eLYFoHTxyy+/8N1330k/BwUF\nSZpBF2fOnGHHjh3qoSHZLzij4/zxC9xPPaffDP6HM7T4TBTjARG5YJhUrb5kdwhd/ToEBgbi7e0t\n3UVlJIV85coVvvrq4werQ4cO7N+/HyMj/UqCL168iJubG3Z2dpw5c0ay7EiNGTNm8OjRI4NYRyQm\nJmqca1xcHIIg0LZtW8zNzdm/f3+O3yAA7N+/n27dukk/e3h4pLvbPzw8HJlMptff+FPmhx9+oGXL\nljRs2NBg+3R3d2f06NHSzzKZDKVSycWLF/n6668NdpxPiaCgIBwcHADo1asXu3btStf2b9++xdEx\n/XWD+RgOtbD8p8KXBAcH8/jxY43AQXqEp38VJQFOqvrQJ3/3I/Dln9gvuIfcoQzOnqYUfSaXnjek\n6ExO5BVbnftSC02LBiF6daeLykReXp9KwENVg2svV81+gLTS6ZGRkbniuzoqKgpHR0dpJPLUqVNZ\nvHgxcXFxREREYGdnJ63r5+fHv//+q87ypio4s+SqWsy+I19UXK8hNpXKeN6FXkSp1LZESA9qX09d\nj4wgF4yzXWzCR7/R7JgtD0jF+A4ODpQqVYrbt1Xvifbt23Pw4EG99vHixQsEQZDEZsWKFQkPD+fw\n4cN6i01QeZXevXuXqKgodu7cqdc2jRs35vnz53ofIyXCwsKkcy1VqhSiKGJsbIyRkRG7d+/mwYMH\n0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YLy0qJFC86fP8+DDz7IzZs3+e2336jU9gIPB0xhWGg0F09a+vu2b7IQpexDkoKevXlV\nXOWcoz0nc/IVlF8wqUvfctjHu0ZTlLcfxgvRBf5MzsQtJnMm3+/w5rJx95/LNPvv4zZt2vDuu+9y\n9epVu5RtkZGRxMXF2WW88PHx4ccff8RsNru0X3RJcnvACfrWdubk41cevyD7foLG20lcPbvKbpmm\nabmmNpHg0/UuX77M0aNHnU4gu3DhQk6dOsWyZcswmUx2SeCPHTvGE088UeSyJCUlOSzLbRRhabF5\n82YWLVrk7mJ4pH79+nH+/HmGDh3K119/TUxMTLGOV7FiRSpXrmx7cVq8eHEBe5QN1i4s/fr149Ch\nQyVyzkGDBpXIee5mrmxW37p1Ky1atKBixYps27aNU6dOsWfPHnamT+KjBCMXDL8QEhLCvhMjWb7d\ni+Xb/xxU5GxckFdTe87+nFkndnF9Uku022n4NrTvPtUsMoDmB4KpWOVhym+xb8rO7TwFCYiJZdUu\nSxaVCl6NeDTIMth166037bbr3LkzVatWZcOGDXbL+/bty5IlS3J9eSvNM5m5ZdCQM9wZ1GWlX+HE\njpdp0OFjgivmnkrHEwYXFcSVg4/0GDS0atUq5syZg5eXF7t27XJ6v40bN/L3v/+dI0eOAJYaUn9/\n/2Il3h46dChpaWmsXLkSX19fEhISePXVV1mzZg1JSUmEhoYW+djuEhcXh9lspm7duu4uise6ePEi\nR44cYfPmzVy6dImFCxc6PeLyTu+88w7//Oc/SU5OpmbNmnlmXihLlixZwo0bN3jzzTcL3thFdu3a\nJfPVl4AJVfSfCSc8PJwDBw44DBqdUMV+hPq9R72cqlDJGTfcOXhIM9wm5bvXub13BQEdh6JlplLT\nK5zarScAcOXUUk7tGsv9T0QQWv1hu33zet7n9oyNzvya325ZJvLoFPgBDwb9g3Wpz3IyazUAYysm\n4+9V3va7PX78OA0aNNAtDV9JcHbQkMcGnDm5Mvg0GW4BGt6+hU95cyFqOv7l6lC96fBSEXCC64JO\nPb54/Pz8MBgMzJkzh7/+9a9O73fo0CE6duzIzZs3bc15xZWQkECPHj24fv06Xl5etmAhPDycffv2\nleq3SuGcqKgoxo8fz9ChQ2nbti1hYWGF6mZx+/ZtKlWqZGvyNRqNZa6bhhCuoGkaWVlZVKhQgS++\n+IKXXnopz23zq2m9MwjNL+C0yjq5h6CIn7h6dhWGzGuEPRGBIfMqp7e/Ssfm35N5fzNQXjS4XD/f\nnyG3Z+uy5I78YdwDQP9yG6jr1525N+yb9YeGRlPNp7VTz9QrV67kmb3Fk3j0KPXCylldXtzm96tn\nV3Pj4qYi7VunzSQq1fkfu/OnpJ/kTPxCTGbnp3cqSZ7azJ6UlITBYEApVejp7u677z68vLxcmkux\nevXqREdHs2TJEsLDwwF4+OGH6d27N8uWLXPZee5G9913H++//767i1Ggtm3bsnHjRvz9/Vm+fDk9\ne/Zk5cqVTu/v7+/PO++8Y6tpt45ALYzY2Ni7pjle3L28vb2pXbs2GRkZ+Qab8Gef0rwCtLy6uuXM\nm5nz0zLpMRp1/JwHh1ym4cNzObr5Kc7tfIumtd7i3JXvOLAijMjljYg+8zenZw3L0lKZdV3Zgs3O\nQR8Rb9prCzZDvOowPNTS5eT7ZOdr50eMGOH0tqVBqQg4c5NbEOpMYFqxVjcq1u5VpHMqL2/qXbQf\nZRzgVxU/n1CUsq9pu5n2X4wmz+jc7olB55o1awBo2rQp996b+2wOefH29uahhx4qVDO8M3x8fOjW\nrZttXvNDhw6xc+dOhgwZQkpK7im2RMGOHTvG1KlT3V0MpwQGBjJ48GA+/vhjfv75Z6KionjhhRfY\nvHmzQxLl3Lz99tu2prGi9P9t0aIFI0eOLPR+Qni6lJQURo8ejY+PD6NGjSIiIqJQ+99Z01nc51qt\nkz6E+4ylTf2ZBPnV5nT8/+Lvew81KlnigxOX53L0Yu4z6FhrNw1aBqtTHmfeDUtGnJo+DzG+skag\nqszeDMtA1ocCpzK64gUiMyyzchm4lWfw/Nprr9nl8J09e3aZmiq3VDSplxTrG1LNE94Ob0uFrVU9\ncelzygXWp1blJ23LzJoJL+WeJrbiNK3r0ZweHBxMeno648aN47PPPiv0/tOnTycmJobVq1e7vnBA\nZmYm/v7+KKWoVq0aX375Jc8++6wu59LLkiVL7HK7uYu1O4L1u+b27dv069ePa9euceDAgRIvj6Zp\nnDx5kqZNmzq1fWxsLJs2bWLXrl22Uf9+fn6EhYXRp08f2rZta5dXdf78+YwZM4bevXs7DAbIj3US\nBGsZRe527NhB3bp1pW+yh5sxYwZ16tRh8ODBXLhwgfr1LU3UPj4+ZGZmFqq7SW7N6vk1p1s5+9ze\nd2IkqdeiGFj+d/ZU/I7jl2bTpNZYYs9/yJiKl/FT5YgzbOf47RX0KGef3eK2OYUvbobSLfhL2gS8\nxorkx4gzWkac79mzh7Zt2zpMW7xw4cJcXyw7dOhAZGQkb7zxBp9//rlTZfcEZapJvaTkrBUtbhN+\n03vftAs2AS5f/4n/HB+Wxx76KemZiwqybds20tPTqV27dpGTQw8aNIiNGzdy4MABvvvuu1xHmBdH\nQECALVCaN28eI0aMYNasWaUqv+L27dvdXQQAype3vP1nZGTw2GOPERAQwObNm4mKinJLefbv30+z\nZs0cZgPq0qVLrn11mzdvzrhx4/jxxx9Zv34969ev59///jePP/44a9asoXv37ramd7PZTKNGjWjf\nvn2+kxnkxjovuSvTNZVFZ8+e5eLFi+4uhsiDwWDgyJEjfPHFFwwdOpRXXnmFKlWq0K9fPzZt2oTB\nYHBJ3+Y7n2sFtXBap9TM7dPfsIBK3s34Nul+ml3rwBP+87nv+iNU8GrAiduWe7uSd3MeCfrYdjxr\nRYy/V3nGV9a4z38Es64rW7CZlJRE5cqVbcFmlSpVbGnTXnzxxVx/poiICIKDg5k3b55ulSnuJDWc\nbmY0ZfCf488RVncqFcu10eUcnlS7aTQaCQsL48SJEwwcOJDTp0+zd+/eIg3+mTJlCmvXruXw4cPU\nrVuXvXv36pZYfd++fQwaNIjmzZvz3Xff2RLwioKNGDGC//u//7Nb9q9//avAvlt6yZmY3GQy4eXl\nRZcuXWwzexT2O9FgMDBt2jTOnz9vm7Hq4MGD1K1b1zanuDOswa4MNhKlWZ8+fYiIiCAyMpJOnTrx\n4YcfMn78+GIf15laTitnn3lmzcQN03EqezcHFLszpnIuK4J2AROo4duBE1krOJf1M4NCf3fY985n\no/X+bdeuHfv372fx4sW2WsxJkybRuXNnu7R9zzzzDPPmzaNGjRp2xzlz5gyNGjUCLFODZtccejSp\n4czFkQvvYzQV3A+rJPl4B/Jw85WEBDazW34mfiFnE4qfQ9GTgk2wPOCtSWtPnTpFZmYmb7zxRpGa\nEN955x0SExMJDg7mwoULrFixwtXFtenQoQPR0dH4+vrSo0cPbt68qdu5ypouXbrY/v3tt9+iaZrb\ngk0ALy8vpk2bBsBzzz1Hr169bMGm0Wgs9PF8fX358MMPmTp1Kq+99hrvvvsuQUFBhRpdmvPvX4JN\nURpNnz6dyZMn2/pmNm3alNu3b7sk2MxLXjWWuTFrRjLM9q0OiaZojtz+FgMZKKXoEDiRNHM8qVoc\nFbzrU9e3O1dNjjl673w2appGpUqVmDdvHvv376dXr162YHPHjh1MmzbNLti85557WL16NTVr1nQY\nNNuwYUPbxBHt2rVj7ty5XLhwodC/G0/k0QHnun31uXTtJ5cdz8c7BB9vz5vf19vLz6Fcde4ZQJXy\nHe2WZWQlcPTiR2RmOTcYwdOCTbCM5N2yZQtgeSuKiIhgzZo1zJo1q9DHCgwMpH///rZR5dZ5ZvVS\noUIFVq9eTb169WjatClffvklWVlZup6zLLAm6g4LC2P48OFuLo2FdRDTypUrbX+PxW3qa9KkiW0i\ngsuXL1O1alWn97W+LL3xxhtFPr8Q7pKUlMSUKVP44YcfSE9PR9M0W1caV3H2mTTzGnyUYMSs2ffp\n3J0xlfZzI+xGvS9Jasf+jJl8ft2SpN1XBdGz3DfsTp/MVeMhzmRtoIJXwwLPqZTi+vXrvPjiiyil\nbN8pN27coGbNmraBhBUqVMBkMpGYmEh0dDTz5s1jxowZDsdr06YNX331FQBHjhwpMxUcHh1wpt++\nyMEzlimofthTmYSbvxTreM3udZzOylP5+oRQPsh+UIOfT0WqhnbGy8s+Qeyla2u5nrLPbpknBps5\nWWdkCQ0NJSIigvfee69I0wG2bNmSwMBA1q1bVyK1Zr6+vvz4448MHDiQsWPH0rx5c9atW6f7eQvL\nkwadWPvpWhP1e4oFCxbY/m0wGFyW0zUpKYk9e/bw2GOPOb2PtU/X9OnTXVKGss6T/r6FJZBKSUkh\nNja2yP3ynZHbs+nOv4XTp0/TLOgv3DLH2y3vHPQhw4YVPIaigW9vynnV4t/JD3Iq6wfu87ffJ7/n\nY3CwJXBt2bIlZrOZ9evX25rHx48fz82bN20DDFu3bs3YsWNp0qRJrseyBpzLli1j7dq1bhlg6Woe\nHXAC+HhbLqDBmETMuUluLo17eXv5c09oJ/x87Ge9CfKvbZcH9N6jXqSZ4zmX9TNG7XahzlESwSb8\nWaMzcOBAVq9eTePGjfnmm2+Ii4tz+hiaprFq1Spat25N3759ad26tV7FtaOUsiX3TkhIoF+/fkXK\nuain6OjoUpH70p1ydtx35aCz9evX06JFC9uoXGdY/55cXStUFhmNxlKXMeJuEBISUiLnyZmTMzJj\nJrszptitb9SoEf3LryPEu3Dp9qyUUrxQIZbbpjSuGg/z2603CswFajVgwAC++OILYmJi6Nu3r61F\nZ+vWrcycObNQ5WjVqhVKKTIyMnjvvfcIDw9n5MiRZGZ6Zs5vZ3hswGl9a/HxCsJstqQi8fEu/OxA\nd4NKIW2pWsHST85as6lQ3DSdxIx9n7R4437SzbnfNSUVbAJ07dqV+fPns2XLFj766CMOHz7MunXr\naNq0KSdOnHDqGNu3b+fw4cO8/fbbOpfW0QcfWHKs1a9fn5deeqlQzacloUaNGjz55JMFb3iX++UX\nS6tJ48aNXXI8s9nMp59+WqjadmvNRc+ePV1ShrLOx8cnz1G+omy6efMmvXv3Jjo62m55+8AJdAqy\nbxUo6hzwOYPKOdf97VKdOWvFihW2ZnVrX9Zr167x6KOPFvpYy5Ytw2AwkJiYyJ49loTyixcvznP0\n+rBhw/Dy8uKtt95i27ZtXLx4kTlz5qCU8pjWJV0CTlek4TFrlr5x3t7BGM2Wt38fr6JX1ScmeUaK\nGD3l/L0He1XngcA38FPBdttcNx7lstE+YXqG+Trjj14pkTJaKaUYNWoUcXFxNGvWDJPJRNWqVXnh\nhRd49dVXnUo/tG/fPrp27eqWec5r1KjBvHnzSElJ4dNPP7V1EfAUNWrUKLEaX2dYg6n4+PgCtixZ\n3bt3Byw1nGfOnCn28VavXk1SUhIvv/yy0/uMGjUK+LMJTRQs5wAMUbYsW7bMNvmGVYUKFdiwYQNt\n2hQvk0tRg9HCsObSbdKkCWazmcqVKxf5WN7e3txzzz00btyYn36yjGfJKz+nv78/mqYxd+5cHnvs\nMerWrcu4ceMACqzEMZlMjB49muHDh9OnTx+qVq1Kt27dWLBggUu7r7g84Kx21nLI/HJeOcNougWA\nj3cQpuwZe7y9g4pUpluZcVy4+n2R9i0NCvN7DQsYQWO/p+yWvfjbRSZPnozJZN/JOiYmhtTUVJeV\nMzf33nsvO3bsoEWLFsTExNC+fXvi4uJ4/fXXC/xDL1++PLdu3dK1fPl5/fXXadmyJaNGjZI+ZQX4\ny1/+AsDatWvdXBJHhw5Zppyz9rUqKpPJxLRp05g8ebJDomdnzt+4cWNu3LhRrDIIUVqYTCaGDBnC\nb7/9Zre8f//+fPnll3bLlFIOOXJz1khaW+dKspUuL59//jnz58/nxIkTueb1LYqsrCzWrVvH6dOn\nWbQo9+w1s2fPZvjw4fTs2ZNOnToxb948Gja0DHgaP358vhk44uLi+Oabb/juu++IiIjg6tWrbN26\nlZdffpkrV1xXGeXyPJxDQ6Oo5lO4PJy55dK6lRnH+sh61K7yNC3rzyBif1PqVh3MQ82+K1L5zGYD\nXl6+RdrXU7miJjm/G3TmzJmEhYXZ1SacO3eOGzdu8MADD7jsZgJITk5mypQpvPvuu6Snp9OxY0cG\nDRrEp59+mud5Nm3axLhx44iNjXVZOQrr6tWr1KxZk+PHj9tubuEoISGBGjVq0KNHD9sITk9i/Rvb\nu3cvHTp0KNIxli1bxqRJkzh58qRtVKozjEYjDRs2tCUz//rrr3nllVeKVAYhPNEPP/zAunXrHPLx\nJicnu7yFKr9aTE8ISIvKYDDg61u4GCYlJcX2+01PT89zQFdGRgYzZsygSpUq9OrVi6ZNmxIVFUVc\nXBz9+/cv8DylKg9nbjV0JrO1VjM4R22npXk48uQoTObCDYbRI9jMzLpKZlYiYOlzWlI5PgtTo5mf\ngm6+CRMmODRdpaWlsWXLFocg8Mcff+Ty5ctFLktoaCiff/45VapUoU6dOvz222+sWrWKYcOG5Zl6\nqH79+pw/f96ts//cc889eHl5edxc65s3b/aozuXWhPzWPpOe5tKlSwA8+OCDRdpf0zQ++OADJk+e\nXKhgEyx9Ei9cuGDrm/Xqq6/aDUwTjrZt20ZycrK7iyHuoGkaTz/9tMM86f369XMINgFdukPlVvNp\nXV6aFTbYhD+76Tz11FP5Zg8IDAxk+vTpvPnmmzRr1gylFO3atXMq2AScrkTwiIDTKmezu8nWbzPY\n7t/XkvdwNmEhxy8Vfv5tV1u7tzpr91pmCfhhT0VW79Z3UJMrA82i3nz3338/77zzjt0yTdPIyMhw\nqHrfv39/kZtQmzRpwt69ezl27BiPP/54rqOIGzRoQMWKFe0Svr/99tsMGDCgRB9GQ4cOZfz48R4V\ndC5ZskQSiBdCrVq1qFevHgBr1qwp9P7R0dHExcUxePDgIpfh6aefJj093TZYITg4uExOb+cKO3bs\nKNYLrii8O7tc/fTTTwwcONBumVKKH374gd69e9std1XKsaIozvOuNDty5AiTJlky+1j7curF2m+1\nIB4VcOZU8bSltrDCzWAqnrXU1Hh7B3HbWLj5ifXsW+frbXk7M5jSbNNSpqQ7N8K6MFwVaII+N55S\nisGDB/PAA/ZdKapUqeLwJaVpGp988gknT54s8LjVq1dn+/btBAUF0alTJ4f5k/38/Jg5cybjx48n\nJiaG5ORkPv30U86ePcsTTzxh63/asGFD3nzzzWL+lHmbOXMmPj4+tG/fnq+//prExETdzuWspUuX\nFumN+G4WE2OZUcTa37Qwvv/++wJrEZwRGBiIyWTif//3fwF49tlnqVWrFgaDoVjHLWumTp1KixYt\n3F2MMiktLc1h2ZAhQxzyDffr10/X2d2EI2fjGU3TbKnDRo4cSadOnVxejoiICI4ePcovv/xC06ZN\nC94JDw44DZqlGd1XBdn+XflaMKEXLMFn5cRgpwKx81e+c+lsRTm1bmDJq3Xi0hxa1/8EgEMuzBXq\nykATSv4tr379+jz99NN2yzRNo1OnTg6DKjZs2ODQURygXLlyrF27ls6dO/Pwww9z9ar9LEvPP/88\nAwYMoF27dowfPx4vLy8WL15MuXLl6N27N7du3eLs2bPMmzdPt4d2xYoV2bhxI7169eK1116jWrVq\n9OjRo0izJ5VlLVu2BPDYpuLy5cvbRq1/8cUXhdp39erVDBgwwGVlGT16tG0A0R9//IGfnx/btm1z\n2fGFuHjxokMt8ZYtWxgzZoxDN6WlS5c63bwq9HPn8zQv7777LsePH+eZZ55hwYIFLh1vAZCamkqf\nPn0ICwujZ8+etrRNBfGIQUO5uWzYw/IU+6kduwbNxl+FsvnWi/QInk+rgFEFHiemzj7KBdTH39f1\n+RDMmomVOy39tQY9YuL7Hd62fxeHK4NMKB3NCTdv3sGWhcUAABRgSURBVCQuLs4WlIClk/Rf/vIX\nJkyYQOfOnXn22WcxGo2sXr3aoYlm5cqVDBw4kBYtWvDf//4Xg8HA448/TqtWrbh06RJr165l8+bN\nuuY6jI+Pp2bNmgC0aNGCU6dOkZaWVug+fWXVtGnTeO+991izZg1PPfVUwTu4gcFgsF0vs9ns1Bf1\nxYsXadCgAUlJSZQr5/puNe+//75tKs4HH3yQPXv2uPwBIsquc+fOsXnzZkaPHm33dzNt2jQeffRR\nunTp4sbSicLYsmUL3bp1y7e7VFxcHHXq1AHyHyhUHJqm0blzZ65fv86MGTOoW7du6Rk0lJtavg/T\nPfhru2W/p49j8y1Lwl8fFeDUcVpd7EDDk1VdHsQBeKncL3pxgnhX12iWhmATLLWEOYNNsHSSXrdu\nHR07dkQpxfz584mMjGT48OG23IVWzzzzDDNmzODnn3/G19eXoKAgPvvsMxYvXszIkSMZOHAgzZs3\n1/VnqFGjhi3P5LFjxzAYDEVKHlxWWWtIitJHsqT4+voyZswYwPl+T7t376ZNmza6BJsAU6ZMsQ1q\n2rt3L15eXg4JsIUAmDx5MqtWrbJbZjKZqFu3rsNzadq0aRJsljI9e/YssG9+aGgozzzzDBcvXtRt\nmlGlFLt27SI2NrZQNd8ufxr+dWveo8QKq3XAK4yvrDGukpHwgL/brduUNpxZ1xWRGZ9i1pyrUXRV\nE3XOwU11fCzzJQfGnKBtgOUBlR79IzWOGPl+hzdJUUucykHq6n6apSXQLIhSynaDVa5cmZ9++okN\nGzY4pK4xm80YjUYSEhJsy8LDwxk4cCCjRo3i22+/pXbt2rqXt3r16iQlJVGvXj0qVarkloFEV65c\nYcKECSV+3oJYXyg8OeAES1oigLlz5+abu85q165dLu8jdadatWqhaRqjR48G4IEHHrirp3e8cuUK\nf//73wvesAzIyspyyIf8yy+/0K9fP4em7zFjxji0HjRq1IgnnnhCXn7vEuXLl2fVqlUl8rwrLJc3\nqUdFRTkMHslNUTP+mzUjO9MnsT/TcV7SLkEzaRvwVp41j3e6M/9nUQK+K8aDLEluS0PfJ3m83GK+\nulmZEK/ajKpwns9uWMoxvrK+ScHLSnDprB07dvD4448TGRlJWFhYvtuePn2aJ554guHDhzN58mTA\nkvdw6NChvPXWW7Rv316XMmZmZjJo0CBOnz7N5s2bqVWrli7nyc2NGzc4ePCgrT+iJ7E26Xl6ovxZ\ns2YxYcIE+vTpw/r16/PdtlWrVkyZMsXp/lXFdeLECZo1a2b7/6lTp4qdtL60ycrKYuPGjR7bNaMo\nEhMT2b9/v8MI79GjR9O3b1/69OnjppIJkT+Pz8N5Zy2os0GTl/KhS/Cn2TWfBjoHfWRbtz19ArNv\n+DDruuJAxhxiMv+FSct7oEhRZkC6k7W/6hnDOgK9KgGQao5DKf1+ta6qQS6tHnnkEd58801GjhxZ\nYA1Uo0aNmD17NgsXLrTVBvj4+PDNN984jHJdunRprnNgb9y40a7m1BkBAQGsXr2aDh060LFjR6dG\n5RfG7t27bbNvWD/WlDyVKlXyyGCzNBk/fjxgGcyW26hdq6SkJA4fPkzHjh3z3MbVmjZtitlstgUg\njRs35q9//WuJnd8T+Pn5uSXYNJlMdO3a1eHeO3r0aJ775DZYceLEifz44492y+Lj47l8+bJDreX8\n+fOLFWxu3brVobyFmXpVeJb169eXSEowk8nEgQMHXJrn2qPq2IsSfHYInMj4yhpvVcqiU+AHtnW/\np4/jl1ujmHPDj4MZ89A0/ZODa5pGsLLk5cw0J1Hf15I0/arxkMvOUdQA8/Tp0y4rgyeYOnUqWVlZ\ndO/evcCbr3v37nh5eTFnzhzbspCQEIc+d0OGDGHBggV2yzRNIy4uziHH6OrVqxk7dqzDuXIGJz4+\nPixYsIBBgwbRsWNHoqKinP758hMREZFrE+6yZcs8foCSdc55dybrd9bKlSsBS9eMvPznP/+hYcOG\ntsT2JUUpxfr169m3bx9gmU5PKVXoFyPhPE3T8PHxYfv27Q7rwsLC+OSTT2zTlFpt2LCBoUOHOmz/\nxhtv0LdvX7tlrVq1YtSoUS5t+l65ciXdunVzWL5gwQLbAEdPoWkaFy5cKHPPKlczmUycOnVK9/O8\n//77hIeHU7duXZcd06MCzuLwVr48GPQPW/D5cOB7tnVb09/ksxvezLquOJjxpcuDz/AAS3+5A5mf\n0S7wbwDsy/iIR4IsqZK2p7umr1FRg81ff/21zNWCBAQEsHv3burXr0/r1q3ZuHFjntsGBgYyadIk\nNmzYUOjzKKUYPXo0rVq1slv+9NNP8/777ztsP3bsWLt8dUopBg4cSLdu3Xj00UfZuXNnoctwJ2tt\nx5EjR9A0zfYBS23K8uXLi30OvVg7mO/fv9/NJSmYtY/k8ePH8wzkSqL/Zn7at2+PyWSy/X3WqFGD\nTz75RLfzeXpXCFfSNI34+Hhu3rwJYOuSU69ePZ5//nnbfWdNVzVx4kSHl9g+ffrw/fffOxy7Zs2a\nuufJ1TTNlpj91KlTtvJaX/bi4+Pz/d7Uw/79+5k588/ucDExMXz22Wc888wz1KpVi0aNGtGiRQv+\n9re/2b3kp6ens2HDBv71r3/ZWotOnjyZ64QgZd1TTz1F165ddT+P9WV25MiRLjumy/twLl261OWj\ngec+VvR9TZqBw7cXcfj2Nw7rHg2ax72+xW8Ku21OYWXqo8U+jpUv5fBXofip8jRqF0JoaCjly5en\nTp06PPfcc4WeQcZsNttqaTZt2kTVqlVdVtb8nDt3joCAAGrUqKHreSIiIvjoo4+YPn06jz6a+3XY\ntWsXH330EcuXL6d8+fK5bqNpGkePHqVZs2YunRkjISGBkydPkpiYyFdffcWSJUu49957mTx5Ml26\ndKFHjx62bRMTE0lISCAsLCzXmo4zZ84wYMAA2rdvzz//+U+7dRkZGbbg5/fffyckJMRlP4Or7Nmz\nh7FjxzJs2DBdk/G7SnR0NC+99BLe3t5ERkY6rH/ppZfo06ePR/QltP5urXbt2uXyUapt27alYcOG\nttpfVzCbzRw4cIDatWsX6rsiKiqK1q1bF/r70Gg0ommaXcAXHR3NoUOHGD58uG2ZpmnMmDGDJ598\nkvvvv9/aR43IyEiHcz722GMkJyeze/duAgKcy6Cit4MHD/Lyyy/To0cPPv74Y7t1qampdO3aFV9f\nX/bu3Vvsc8XHx3Pu3DnS0tJIS0sjMzMTHx8f2/dobGwsUVFRXLhwAYAuXbqQmZlJTEwM7du3p2XL\nlrRq1YrmzZuTmJjIe++9x6FDh6hWrRohISHExcVRpUoVqlWrxqFDh6hcuTIJCQm88MILvPrqqwwb\nNowrV67w4YcfEh4eXqi0YampqRw6dIgGDRoU+1mVmZnJrVu3qFy5crGOU5IOHTpEkyZNHP5ur1y5\nQnJyMk2aNCnwGLGxsQwZMgQK6MPpyoCzDhALODfHkRBCCCGEKAvSgeaapl3MawOXBZxgCzpdn2Fd\nCCGEEEJ4qmv5BZvg4oBTCCGEEEKIO5WZQUNCCCGEEMIzScAphBBCCCF0JQGnEEIIIYTQlQScQggh\nhBBCVxJwCiGEEEIIXUnAKYQQQgghdCUBpxBCCCGE0JUEnEIIIYQQQlcScAohhBBCCF1JwCmEEEII\nIXQlAacQQgghhNCVBJxCCCGEEEJXEnAKIYQQQghdScAphBBCCCF0JQGnEEIIIYTQlQScQgghhBBC\nVxJwCiGEEEIIXUnAKYQQQgghdCUBpxBCCCGE0JUEnEIIIYQQQlcScAohhBBCCF1JwCmEEEIIIXQl\nAacQQgghhNCVBJxCCCGEEEJXEnAKIYQQQghdScAphBBCCCF0JQGnEEIIIYTQlQScQgghhBBCVz6u\nPJhSqg5QxZXHFEIIIYQQHu2apmkX89tAaZrmkjMpper4EHTBSLpLjieEEEIIIUqFdKB5fkGnK2s4\nqxhJ53/KLaWyd3MXHtazXGlgdncRSszVenfHz3r+vtvuLkKJCGyV4u4ilIj7at1wdxFKRJjfFXcX\nocTcl3TZ3UUoEWEn860gKjN8959zdxFKxra74+eMzTIy5I+0ICwt3CUScAJQ2bs51XwecPVhPYYh\n5O4IwgAyq5jcXYQS4Vs3091FKBH+LW66uwglolKDuyMQu9c/2N1FKDFNryl3F6FEtNHujhZCv7hr\n7i5CyQh0eYhVqsmgISGEEEIIoSsJOIUQQgghhK4k4BRCCCGEELqSgFMIIYQQQuhKAk4hhBBCCKEr\nCTiFEEIIIYSuJOAUQgghhBC6koBTCCGEEELoSgJOIYQQQgihKwk4hRBCCCGEriTgFEIIIYQQupKA\nUwghhBBC6EoCTiGEEEIIoSsJOIUQQgghhK4k4BRCCCGEELqSgFMIIYQQQuhKAk4hhBBCCKErCTiF\nEEIIIYSuJOAUQgghhBC6koBTCCGEEELoSgJOIYQQQgihKwk4hRBCCCGEriTgFEIIIYQQupKAU+Qp\n8fT37i6CcKG0iJ/cXQThYgeX73R3EYQLrdh62t1FEC62PPm2u4vgMSTgFHlKPLPC3UUQLnRr4zp3\nF0G4WPT3u9xdBOFCK7ZJwFnWLE+RgNNKAk4hhBBCCKErCTiFEEIIIYSuJOAUQgghhBC68nH1Aa+b\nYl19SI9yI9Xs7iKUGGNWCqnXot1dDN0ZLtwdfWxMqSncPnbY3cXQ3Y3kG+4uQom45HeFzKR0Lh08\n6+6i6C406bK7i1Aikm9lEX3qmruLoTvfhFR3F6FkZBhJNpk5mGF0d0l0FZvl3M+nNE1zyQmVUnWA\nk4C/Sw4ohBBCCCFKg3SguaZpF/PawGUBJ9iCziouO6AQQgghhPB01/ILNsHFAacQQgghhBB3kkFD\nQgghhBBCVxJwCiGEEEIIXUnAKYQQQgghdCUBpxBCCCGE0FWhAk6l1DtKqUilVIpS6opSao1Sqskd\n2/yulDLn+JiUUl+7ttjCFZRSY5RSMUqp5OzPHqXU4znWy7UsZZRSU++4Zmal1LEc6/2VUl8ppa4p\npVKVUquVUlXdWWaRN6XUuVyup1kp9UX2ermepYxSqpxSaq5S6rxSKl0ptUsp1e6Obd5XSv2Rvf4X\npVQjd5VX2FNKdVZKrVNKXc6+F5+8Y31/pdTPSqmr2etb5nKMu/K+LWwNZ2fgC6AD0B3wBbYopQJz\nbKMB3wDVgOpADeDvxS+q0EEc8DbQNvuzFfhJKdU8e71cy9LpCH9es+pApxzr5gK9gaeBR4CawA8l\nXUDhtHb8eR2rAz2w3Jcrs9fL9Sx9FgLdgMFAGPAL8KtSqgaAUupt4HVgNNAeuAVsVkr5uae44g7B\nwH+B17Dci7mt34Xl2ZpXGqC78r4tVlokpVQVIBF4RNO0XdnLtgHRmqaNc00RRUlSSl0Hxmuatliu\nZemjlJoK9NM07YFc1pUHrgKDNE1bk72sKRALPKhpWmSJFlYUmlJqLvA/mqY1ketZ+iilAoBUoK+m\naT/nWH4A2Khp2hSl1B/ATE3T5mSvKw9cAYZrmrYyt+MK91BKmYGnNE1bl8u6usA5oLWmaYdyLL9r\n79vi9uGsgCWCv3MuucHZ1cmHlVIz7qgBFR5IKeWllBoEBAF7cqySa1n6NM5u7jmjlFqqlKqdvbwt\nlulsf7NuqGnaCeAi8JAbyikKQSnli6VWbGH2onbI9SxtfABv4M75dDOATkqp+lhqsnNe0xRgH3JN\ny4q79nu4yHOpK6UUlmrhXZqmHcux6t/ABeAPoCXwKdAEeKYY5RQ6UUqFAf8BrG/e/bP/+EGuZWm0\nFxgBnMDSBWIasCP7OlcHsrIfYDldyV4nPFt/IBT4v+z/V0OuZ6miaVqaUuo/wLtKqeNYrtXzWAKN\nU1ium5a9PCe5pmXHXfs9XOSAE/gaaAF0zLlQ07QFOf57VCmVgKV/Sn1N084V43xCH8eBVlhqq58G\nvlNKPaJp2nG5lqWPpmmbc/z3iFIqEstLwwAgM4/dFHn3NRKeYySwSdO0hAK2k+vp2YYAi4DLgBE4\nCCwDHLrB5CDXtOwr89e4SE3qSqkvgf8BumqaFl/A5vuw/CJllJ0H0jTNqGnaWU3TDmqa9g8gBngz\nj83lWpYymqYlAyexXLMEwC+7D1FOVXGsUREeRClVB8tAzX/lWCzXsxTSNO2cpmmPYhlcUlvTtAcB\nPyz9/RKwfMdWu2M3uaZlx1173xY64MwONvsBjxY0UXu2Nlii9oICU+EZvAD/PNbJtSxllFLlgIZY\nukVEYalR6ZZjfROgDpZuFcJzjcTyMNqYY5lcz1JM07QMTdOuKKUqAr2AtdktRwnYX9PyWDLD7Mn9\nSMKD5VZjedfet4VqUs/Owfgc8CRwSyllfQtL1jQtUynVAEt/lI3AdSxNtbOB7ZqmHXFdsYUrKKU+\nBDZhSY8UgmVAQhegp1zL0kkpNRNYj6UZvRbwHpYvt+81TUtRSi0EZiulbmLpszsP2F2WR0aWdtn9\n5UcA32qaZrYul+tZOimlemKpxTwBNMbSNz4W+DZ7k7nAZKXUaeA8MB24BPxU0mUVjpRSwVhajFT2\nogZKqVbADU3T4rJfIOpg+f5VQLPsezhB07Qrd/V9q2ma0x/ADJhy+QzLXn8v8DuWIf/pWG6oj4By\nhTmPfErmAywAzmIZIZkAbAEek2tZej/AciwPpwwsox6XAfVzrPfHkkv3GpYvulVAVXeXWz75XtMe\n2d+zjXJZJ9ezlH2AZ4HT2ffoZeBzIOSObaZhaZVIBzbndu3l47br1yWPWGhR9vrheayfkuMYd+V9\nW6w8nEIIIYQQQhRE5lIXQgghhBC6koBTCCGEEELoSgJOIYQQQgihKwk4hRBCCCGEriTgFEIIIYQQ\nupKAUwghhBBC6EoCTiGEEEIIoSsJOIUQQgghhK4k4BRCCCGEELqSgFMIIYQQQuhKAk4hhBBCCKEr\nCTiFEEIIIYSu/h91hnMg67ihjAAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "from __future__ import (absolute_import, division, print_function, unicode_literals)\n",
+ "\n",
+ "from netCDF4 import Dataset \n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "from matplotlib.cm import get_cmap\n",
+ "import cartopy.crs as crs\n",
+ "from cartopy.feature import NaturalEarthFeature\n",
+ "\n",
+ "from wrf import getvar, interplevel, to_np, latlon_coords, get_cartopy, cartopy_xlim, cartopy_ylim\n",
+ "\n",
+ "ncfile = Dataset(\"/Users/ladwig/Documents/wrf_files/wrfout_d01_2016-10-07_00_00_00\")\n",
+ "\n",
+ "# Extract the pressure, geopotential height, and wind variables\n",
+ "p = getvar(ncfile, \"pressure\")\n",
+ "z = getvar(ncfile, \"z\", units=\"dm\")\n",
+ "ua = getvar(ncfile, \"ua\", units=\"kt\")\n",
+ "va = getvar(ncfile, \"va\", units=\"kt\")\n",
+ "wspd = getvar(ncfile, \"wspd_wdir\", units=\"kts\")[0,:]\n",
+ "\n",
+ "# Interpolate geopotential height, u, and v winds to 500 hPa \n",
+ "ht_500 = interplevel(z, p, 500)\n",
+ "u_500 = interplevel(ua, p, 500)\n",
+ "v_500 = interplevel(va, p, 500)\n",
+ "wspd_500 = interplevel(wspd, p, 500)\n",
+ "\n",
+ "# Get the lat/lon coordinates\n",
+ "lats, lons = latlon_coords(ht_500)\n",
+ "\n",
+ "# Get the map projection information\n",
+ "cart_proj = get_cartopy(ht_500)\n",
+ "\n",
+ "# Create the figure\n",
+ "fig = plt.figure(figsize=(8,8))\n",
+ "ax = plt.axes([0.1,0.1,0.8,0.8], projection=cart_proj)\n",
+ "\n",
+ "# Download and add the states and coastlines\n",
+ "states = NaturalEarthFeature(category='cultural', scale='50m', facecolor='none',\n",
+ " name='admin_1_states_provinces_shp')\n",
+ "ax.add_feature(states, linewidth=0.5)\n",
+ "ax.coastlines('50m', linewidth=0.8)\n",
+ "\n",
+ "# Create the 500 hPa geopotential height contours\n",
+ "levels = np.arange(520., 580., 6.)\n",
+ "contours = plt.contour(to_np(lons), to_np(lats), to_np(ht_500), levels=levels, colors=\"black\", \n",
+ " transform=crs.PlateCarree())\n",
+ "plt.clabel(contours, inline=1, fontsize=10, fmt=\"%i\")\n",
+ "\n",
+ "# Wind Speed contours\n",
+ "levels = [25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 110, 120]\n",
+ "wspd_contours = plt.contourf(to_np(lons), to_np(lats), to_np(wspd_500), levels=levels,\n",
+ " cmap=get_cmap(\"rainbow\"), \n",
+ " transform=crs.PlateCarree())\n",
+ "plt.colorbar(wspd_contours, ax=ax, orientation=\"horizontal\", pad=.05)\n",
+ "\n",
+ "# Add the 500 hPa wind barbs, only plotting every 125th data point.\n",
+ "plt.barbs(to_np(lons[::125,::125]), to_np(lats[::125,::125]), to_np(u_500[::125, ::125]), \n",
+ " to_np(v_500[::125, ::125]), transform=crs.PlateCarree(), length=6)\n",
+ "\n",
+ "# Set the map bounds\n",
+ "ax.set_xlim(cartopy_xlim(ht_500))\n",
+ "ax.set_ylim(cartopy_ylim(ht_500))\n",
+ "\n",
+ "ax.gridlines()\n",
+ "\n",
+ "plt.title(\"500 MB Height (dm), Wind Speed (kt), Barbs (kt)\")\n",
+ "\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Basemap Examples"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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KtQyFxGqEwYqVUh29MLZSEaOqMSd6teKQS/v/0FpnIKHAfUqpXUCSUmqg1voP2zpKqRGI\nuPE92q7Vm7u4+9MWgRgWfdpBSiZceEd9uvWp3pny7Sd5vPjvDMrLofstvRnyyGDqt3TsZnIyTfrE\nE9E4gh8nfMWdFx6j+4AQpn0dS3QDV/1oT2bh3Hy+eDOPPu3gzcliILWIhQ63i5H19xsQ7GBg7EuV\nz98iFtbukv8BtIabpkOZFe48D7q6USTe38nN0BVp2bD9EHRpDvPXwagG0MdflosdH3aDu3bCnCpu\nzs4YGgP3tIQzVsACpOuwP1gLDERKRnxNZ+PvZ0CvemDxzp73inVZkFoCy14QI6qwGBZugg5N4YxW\nFeuVlsG2RBjSBT5YCJPPFcPcGek50DoOGtRz/b5FJRAVBu2bujfOhpGw83DFuWBSswQFyORtYKeK\n59bvgWtHQsJRuNHo+NmnXcX1y12sVpnszVwMHy+A3DK4rw080EqMggDl+TmxMVu2zS+vmWtYddAa\nlmbAoSIYFgODHHpNlFjh/SS4vzU0CHa6C7d4rC2kldbI91EbaT+xRYh+Squq1nQgEXhR5uqxgEeG\nltY6QSmVivSo3QL/S4YfiAgju8JmRPzPuDHaxv0APKS1/tiTcdjwyoY+lg2xjauXR5+TZeXZ24/T\n+cozOOu10UQ2dtaFwjVtz2rD9Rsms+WLbWx8fRUzX8vhvhdjqt7QYMmr6Yw4Ay7oB7OXw8rt8Mil\nMLY3tI2HICffTFIa7E+Bdk1khrfnCHRsBl+thB1J8PG/3DOyPGHuKpj4OuTapeb1rORG6UsaBMNt\nzeGJvfBCB8+3bxEG73WHa7dKZ1xn/W2qyy7gPD/s10YLoBhIKYZmXs5YvaG5cZpf8jQ0CoaRDWDG\n22BxOO1+2Qjn94MNe6F/B9dGFsDlQ2HOCmgSA2f1cr5Ot5awcof7hlZEmBhnJrXDwWOwagfsSRYj\nqmsL8Wj+nQAZeSeue4sbbdbLy+X3n/EWLEqHrDKoFwDXNIGH20DbcO/Hmlsmnu4B9cVbe1n1AyJ+\nY/4xyCiVSe2Yhie/nlsGnxyBW5tDuPvz+5PQGn7PhOubVL3uqUwrfD8ZNvqbtkc8VwBtlVI9gQyt\ndRIwHXhSKbUP8eY9DxxGPFMopfojsg+rkCb37RGfwF5kDm8zsn409vWdUqqx8V4lWutMd8fqsbVk\ntcosOji0etP7hXPzKS+H0S+P8tjIshHTNobOl3SipFgTFOzZeEKCxFN0+Di8sQA27Yf3foGOTeGR\ny5zfsNo0FiML4OoRsDcZZi2Ti11UOPRo49XHcMmCP2DCVDnRb28O3SNhfi8Y4sSeLLaKG9vXjGoI\n9QPhm1Tvtp8QD02QHi5WXw7MIBvxDfsLm31b0yIoHSLg1mZwV0u54H94GFKdnNb5RdAwCgpLKvdU\nAQQGwPWjZD9WFz/Gsq3QqpH744wMhQLT0Ko1svLhuWvhupGSdjDrd/hiGURHyGN72lRi2GzaDzff\nDlGXw6gnYHMOXN0E5veG1FEwo1v1jCyAvQVwZbwsddmbtSdfDKmbm0HrsJNfTyuBz5PhzhbVM7Ly\ny+DdJBgXCxFm12Fv6IeEATcil+jXgU3AswBa66nAW0jv2D+AMGCc1tp2xSpE9LEWI3P2DxFdrpFa\na9vZc6Ox3WNAst3yrScD9djQOmzULMQ2rsYRBnz/aT4DR4cS1ax67pn9T82mSYtAbnus6pCjPec/\nF0dyBrxhtG29aIDkShWVSv6UMxyNr/P7w0UDISJU8q+e9nGa4YL1YuTEBsGMw2JInefkJvh/+yH0\nN3hot2/f38bDbeCXdDhY4Pm2gRb4sI8c/e/5fGT+pRxpxNcKaF6D3iyAYAUtQ8VQzS2D8xtBkwau\n1x/YEda5+fv3aiseD5C8whm/wEEji2FcX9i43/1xhgaDtbJCaBO/cv0omTQqJR6t60fJcsUw8ZZU\nRW4BnH0z9L1PvDh3toCVA2DnMHi3K1wUVz1jwp6IALissXjkd+X7Zp++JqUYvj0KjV2EAg8Wwg/G\n9xRUTXGk74+JR6yVE2POpGq01su11hatdYDDcovdOs9orZtqrcO11mO11vvsXtumtR6jtW5kvN5O\na3231jrFbp2bnew/QGvtUVaqx4eKbZYUFuG9Rys7s5y/1hYTc/lIr/cBcGBxAkvmF3L3s/UJDvFs\nPIPHhLEmtyVDu0CnZpLo//gV0Kwh9HGRaN6pGSz5+8TnCosldyoyFBb/BY98Ks+Xl7t3oauMC/tL\nYvlHR+Txjc3EcLEnt0zc8ADtqznjrIwBUTIj9YbzG8G9rWAe8BQyjTgV2AjsAD6phY5zQRbIKINx\nG6FLJMx913VYcPFfsHSLeJrdoVtL2GZkPIQGQ0yk5OL8dUBu2s0bSpK7u/jDU2lSfVrEws4k569l\n5UlOX79bYH02fNMTUkbBq50kH8kf+YidIsTYenA3vORFKoK/KSqHB3ZJ7tmQ6JNf35oLf2RJ4npl\nIXp30FrCssGmkuU/Ao9/5hgjypeT6f3lddufJWgNrUe39nofx7an8cMVXzFodCjnXx3h1T5ysqys\n3gmPXg71wuHbNfDbX/CUC89Uvw4QHgI/b6h4rnGMJCPXj4DVU+GJCfDlcpj0toRzQMI7WxI8G1tp\nGazaCW/eXvFcXwd3e4kVhhp1EfUD4Q4/dmqzKNiRV/V6rnihA1zQCFZSC6UvXrIfEaAZVYknyV/s\nyZdEW4Bf3jqxMtWe0GCpJgT3w5tKSRL1+j3y+FCanNdbE+XxmJ6Sp2NSu+w+DK9/B8//V3Lx8jyc\noYwfBN+vO/G5A6kwbT60vgEmvyuhsdUDJF8qpAZu+vOPQVwwnO1tsb8f2ZILT7UTD75jKG9tFiQW\nwpU+yqV6NwnGe1CtaXJq43FkuJ7h5izI895dExIm04Hju4/TsIN7dzGtNce2prH7+92UFZdzeO56\n4poF8Oa8Rli8nH4t+0GuXGcZVXXPXwsPzoT/u872nrJYLPDgJ/L84M6weT98txYuMcqqJ58rlZiH\n0+HrVXDZEIgIEaMMpCqotZuJRGXlkkuz6zC89p2UQEQHwvah0NQhfPXiAdhqGD8v+6Pszo5bW8C7\nh+C1BHjQi1y0sAC4pxUsSJNMQ18kxpfh39YGuUAk1Z+9esri43D+JogJgs0fQpyT2bWNc3rDs/+F\naROlKKNlLHRqDnH1Zdyuxn7VcPFgtY6Da0bIczsML1dpGWTny/HcvA7eEE9XystFQmbadPg5TSQU\nLMhvWK4lKf2hK8XzHuBGOK9LC3jrR/m/qATu+Dd8angqL28MD7Q+uZLO34xvLEtd5IPDkpflyG/p\n4mG+wEeG0fIMOLthzRbXmNQuHhtaQQFy4hcXeW9o9RkawrCxocy7dC4DHhrC4AcGEtbAeaC6OKeY\nDe9uZO+Hq0g6UEZwCETFBNC0ZQBTZ8dSr773t9rcLCshQdDISO+KDIOrz4Q1O+H3bfDkLNjypiTB\nbzko3gOA3u0kxDJnuSTFh4XAyzfCx7/BTWPEMzbx7Ir3iY2SGenY3pVfIC+bBPOOQcaX0L013HsR\nTF8ANzQ92cgCSZAG+Kqn5PL4mztbwl3bvd9+VAO4CHgD6c5Z3dqB3UhVoL/Yhn9kI6ri+f3QLwr6\nDqvcyALJD7ygP+QUiCfqz71SgRYWDL9sgndvF1mHdk5m4r0cQuQWi0ws9qXIhCrYzauDGf2oPjkF\ncO7t4jlpFgJPtoMuEXBOrITb9hXAB0nwzJfwV4LklMZESoV0dIR4nOOiZZIGYrQdShMP1sMz4YMf\nJA3hP53g2ianloZVTZBQIOFCx5Dhd0ehRSj08ywFGIA8ozIxJgg6hUsBQEqx5KeNqAUvuUnt4bGh\nZbHIbDk50c2EEKf7ULyzII53nsli1htr2fruOnoODiYrtj3BkcEEhgZSkldC0N6dbF1fQlmp5sLr\nIpjyTgMGjgr1OB/LFd0HhFBcKqG/vu3luRHd4dfNcP/FUp21+QD86wN46soTt+3aUoytT5eIWKNS\nMMkQAwwJEt2r7q3lcWEJjDgDMvPF6HLFvGPyt8ON8PA1MGchdI2AaZ1PXnd3vpzANzetGSPLRqAF\npibAOQ2hl4eVQ0rBK0NhwWo4QvUNre2AC5WCapOASFK83KmqNX3P7nyYfIkcL+7w3DXw7s+S0/fO\nz+L9OJwu+ZQf/SpGU9v4qj1zCvhmNcTHiPjpt2vgDje0M8wcreqxLRHGPwzppbCoL5zV8OQcqU4R\n8HpnEa+dslmEix0JD5AUAquR/1Ns/DBrt4pxdV8rqWY1OZH9BZKndkvzE5+fd1Suv529KIovtcKX\nKSKPE2KR/Na5R0Wq5dbmxoSmQCoYG4dAOz/m15rUPl4VlZ7RCg4tygEPdKscCQ5W3PdiDNf+qx6z\n3sxl/45SAvbtJTfPSlmpyDW07hjE7U/W58LrImjSwvf1r/k5ciVq4HAindNbyt/H9RVj68O7RSjS\nkXZNxKj6ehVceaY8l5ELL30j7n2boWULIUZU4iouL5fQQG45HC+FD76GoyVwYaOTL7pfJos2FcgJ\n+3816HZ5tRPszYcXE2B2D8+3Ty6Wv9VI9/ofKfheEd7Gu4gsxR3+dJm5oEGQaNU5ama5wmKB28bC\n8m1wPFeOvZmLRVdr037R2UrOkEKPysgrklzDM7vJ5OBYVoVWnIl/OJ4D4x6CBoHwc1/oWIUhdGMz\nWXLKpBAmoRDSS8S4TiyS7gG5ZdAkBNqESdjrqXbQzKxsc8mufCnYsWdNJsQHe25k/ZIGj+2RPLS+\n9SE0QK7RHSMqftu8Mph5BP7MgUH14c3tsKy//GYmpydeWS+92sD8P6pezx3imgRy/0veG2zVodwo\nS3c2088rkhL4x66ofB/z/zjRUIuJFA/CdSM9G4tSEKjFqzCoM2wxEpU/S4an258oL/CWnUbuvZ7K\n7VaTYAt0qweXxcHMw3Bz86q3sWdkAxiCSD2MpUJpzhs0/gtbJQCXVlOM0FtKrFBudd/QAulicHZv\nGNpVDPuHLxM9pZIySM1yLVBqz7HsiuM2JQNuHCPSDx2a1nye2j+FJ2eJYbRmgAj8uktUoCxV5fnE\nh0hepD8LZU51LMDxEvk+QcKIKcWeC6ruyIN7dklHDJtS/KxkKNNSyXhdEzmPvkiGyS3gXxY510us\nppF1uuPVfapFLBw5DXqAd+8fTFCgc6MxKhwGdYLft1a+j9E9KjxWZeWiMt+ztdzktnvQNKCwBDKt\nYjys3QXd68G3j0Gphr9yTlx31UBYNQAyRkuSem1waTz8ke35dhYFN3eDHERxva7SG1h2uObf16ol\nhFRVbpYrwu0u2PXDoV28TATWutEC9bHLJd/weI6oin/0q+R//bDeu7GYVM7m/TBjITzU2jMjyxOG\n1IdtvnAfn8bsLagQJs0tg1+Pe25krciA39Jg42C4q5WIvV7dBK5rCjc1g9EN4L0kqbo8J7ZC1qFc\nw6yUyvdtcurjlaEVEiQzZas/pMhrkJjYAAZ1hDUubkKjekhCsL2cgyNdWkiyMUgi6t5kuVkWl8J7\nP8tjd/S0DtidbE+3g3XZ0u4HKpoJ2whQ0kswxsNmz74m0Esvx8YcaIRdM6k6RDbSp2ENUMMFWQAs\nTJff+3wfaHed1UsMr3ZNRGg4uYrJkc2D9tUqOZZLy6TqML8IMiu5WZvJ8N5hE5id5KFX2BNsBQ4m\nzikoF2Fgm8f2yxS4xcNQ+bFimJ4I97Rx3Ri6WagkwycWnpiPFRYg729yeuNV6DAkSEIb+bmaevVP\n3ZiC1pqj2ZX3JxzSBdbuhI9/lf5vI844eZ2VO2CikQh/xzipWrx0CMxeJt4B2wU1JhLO7Cp5MDb+\n2A1f/A5XDpXHPexee/hTODMGLqmj5dDe/vJBSg686hw5/krAnoVofT3UtubDsgBrsqQTwKBO8OXv\n1dtXSCDsOgKNo8VoinczQt+sgeR6XWEck/XCJfcwxkW+Sl1Khi8vF69wYC2EfL0ltVgSov2FaWe5\nJqFQctlAGl73jXKt+P5XjlQRFpZL14jxcfB1quRjTXdSsOTIoOiT5TS04cF2RX6ZGGM12dDexPd4\nZWgVlshMKTLq1P71d2wuYc8RmD6p8vUOHhNjbMV2STAOd7go9msPP/0pnoM/dlfc0JRF8q0GGSdh\nZp4kLGeHbxekAAAgAElEQVQXiJHRNl68Vt0PwEtGL8FnO8CnhhJ80xD4qU/t5Am5g7cX8HbhkI4o\nxHsbMTkCVJHb7RHlwBzgG6At3jXR9gVLjotx7YucqMx8SWZvFCUhRHdzvuKiJXG+XrjoL2XkOpeH\nqG2y8mDhJvhhNvx2XCq9ssvkuJz7MFw+rLZHWDlNjRL/9dnQ04+9/4ItkoAdeZr000swqvX616/+\nebIlFy6OE4NnYw7c5iIV46atUvn5Ygf5Hsus8EoCPNoGzqheF7lKhUv/myp5do7J+lVRZoVlGVI0\n0casaKx1vPL6l5S6r7FTl1m3pIjQ4ArBUmd8txbyi6UKMT5aqrkOp1e8rrWIDKZmitL2jWNgbB95\nLa8Q5q6qWDcmUnojXj8Krhslnobf/pIEyoOGoTU8RkqAAd7o7NoVXRfw1tC6qBGUYrRH95Jt+Eb0\n1MZ6pPF1KFDJ4eB3Qi0iVOkLYqPg7vOl3c7VI9zfLuGodEEA0Y6ra96hklK45jaIvRaufg02ZMP1\nTSTkY/vqnn6nVofoFraUA393HhgeIwKopwMfHYakIjF2vkiGX9Or3saRP7LEUMsulQlveAD8mCad\nKxzJKIEJf8mk97G2FcZqoAWeaFd9I+vrVLimiaSbOObignj/j7nZtF1r8cp9fgS+SoXUkuqPz8Q3\neJcM30hmuru3VOLzPAU48F0WAzpAUCXGTEGxKL1v3C9hv3IrLNoM89aIwVVuhQcvkSRixxvSbedC\nqV3DXasVXp0HN02Hc2+GC56TsGGxBjJkne+OiTje652gV73TM7+iTThEIe3SveUA0NVH4wEoMv7u\nHg7zxvpwxx4yNlaU4dNzfBOS69ce+raTCcLybaf+8bQvGc57DuakikbRweGw+0zRmLLPfZnxZO2N\n0R0ycuGxD0QDr72fta3Oj4XVWf59j5pCawnvdY2EG5q5b4TY0zQE3j4E12+VJtcF5aI75kwUOioQ\nGgbBi36Q0NmaC6uyJHT84WFYnnni6zvypM+pBTHEKkNr6SE5LVG+l6wyaBUqXjiT2scrf8kF/UVb\nZ8rFKcze3dJnAqI1SVmZZuUOuHlM1evGREru1Ue/iiLzyh3y3PfroGE9CS1GholCs43sfBEiPGpc\n4LLyYMitsNMQoRzbEKJzK9bfWQgNA2GikRhbahVX9jojIT5QiVp4u/C6UWp/uEi8L97SA2nF4y2l\ngC894quACCA22Ic79YJbmsH/HYCX5vpmf3HRclzefJaohH/yW0U+oa/wVzL88Rx4+VsZ97ePifE5\n4p4KLTYFtDJiz0/theeNno8734XOfkwwry7FpXDtPXKOv1YDGnihgfJepwM3NhMNqrZh4rEp8eJz\ntQiDZ9vDnBTJx5pzBK5wUWUYaPFfjtvREgkbFllF7mGOQ/XhxhyRhFiULhWLA+pLdeTS49A5QjQX\nh8XAsuOwI180/9pHwMFCuT7fZUp61Bm8rjr86iExJFb84mGn0zrCuiVFpGVXXt1VbBciDQqE28dJ\nYnu80erCYhEj65ze0LXFicnCfyfAtAVwrhFGTEqvMLIAXmgPD7Y+8f1G2yUdBVkkcfK6prJc1hjS\nSmF2imizzEmB7XlVz3T8xaN74Pn23m/fo4VIPHiLLz+2FdgCXFdLuln2xIXAI21g+nwRDK0uSsmx\nueOQ5AT27wDLtri//bNz5DwvqsRz4M09PDNPJiqJx2Rx3P+eI3DN6zCksxhZG/ZCo+vEyHqkjYRU\nbIZ+dmmFkTX3kbptZFmtcPUdkj8zt5f/ZB3qKuVaxEC9JdgiRkmHCDFCJvrgtw5QknDuitZhzsN6\n1eWshjCmoVzntZZCmHS786DUKp6pHXnSiePHNMnnaxICSzJEiuLLZDhQKMKn7SPk++27VhL0TeoO\nXk9Ge7aRHoBLXzn1gv9Wq2bG3cfo3VZUsF1xLKuiDyLITeuq4SLgeCAVosLghtGi+N4kRjx9Noaf\nAeP6QKs4Mdh2HoYmdrkYE7bIiWOPs1Y7NoIsMNjO8JoQL7O5OYbhNStZ+qR5M8PzlBKrCPztcrNF\njDOahsBRvDeYfOnUW48k519eg62MKuOxNhI+/nmdVLBWl6FdJY8QoEcbaa+TkuHeth2bymQhv6jq\ndT0hMlTCZ1PnwcvfiFiqjSV/w5TZcE4v6dl44S3Q/wF57ff+0kC95BwoKofXE+A+o6q3YSBcPtS9\n99+fIjmUNc0HiyQ9YHZ3udHWFEpJgnRtsiEbPk+WHERvcqvsaR3mO89+VbvpHyUhPn+iFDzXHi7Y\nBK8ckGN7bKwYX8+1l0l6i1D5/lqFwf2tYVwjuQ/8lCZaaaszxWhc3E/0F08XL+bpgNep1krBs9fA\nDdPg/N8KGXr2qTM1W/xdARv3wcqXKz9ZWzSCZU4ES1s3lqW0TPK10rLFy2cvE1FQLOHEXzZCUhrc\n9/GJobYDhXJDvac19F8rgnaedHMPUNA7ShaQGdGBQvj+WIWxFR0IA6Mrkut9RbAF/tVSZlp9vGi2\nCqJ0nw+UAbUlB1YGJAP/BZoCY+pIo9dACyzoDb3XwIhH4b27Kvpoeot9+6crhsLbP8Gd4ypvcm5j\nuBNJk+oSFAi3nC3njU1/bt1uOMPoIdouHl6aJe2obEzrJIndIDP35ZnwVy6syYYwBYtfrfp9P18q\nwsKBAZIK8ONTIk5cExzLgvveh+ubei6IWV1614MVmSd6zWuSD5PEI/94WzhQIJPCrbkizFwbFJTL\nMXS0GKKruAB9kQKfdJP1A/yYthETBF/3lOv1o3tk4m27J8xPg8bBUki0IVskYLLLxDMaESAFFffu\ngp71IKNUDLLJzaG+KXJXJ6hWTdu1I+CTxfDEhGN8srYpbTvXsoKmG5SXaz5+MJ3RPWCYG9nUAZaK\nC7MjQYEVXqz1e+Ca1yQ5/t6LZLv3foH/TBTph9ZhsKI/XLwJNhvijzc2E09V6qjqVxcqJflb9gnB\nWaWi3p5WIrM2hfTu6h7pWivGXTbmVE/fy2YMehOpy0GqA6tDJjAJqUEIAd7pVjdy32w0DpH8jTLg\n1rfFY3p+/yo3c0lggGhMBQTI5zyzK+xIqujHaU+X5jD7d8gtlM4H/mTlDogIgfGDoHUczFwizawT\njsrEZFysGMCTW5woT2DVsN3wqPaKgPsnOf8s9uxNFkmFs3pJuHJbolQF+zpnzRnJx+HxJ+T/abXQ\nqHx8Y3g1oXYMrb9y4Jd0MZKLrZJvuiJTmjkXWSX3tCbPPa0lz2tSc5ibClfaGb35ZXC4WLxHoQru\n3in9Zucdg8xSmQT1qlcxwfU1LQ1/RamGPQUVyewPtJa/m7LhzUOwKw+GxIihel4juba/2EGqGMfG\nwjY7z+6WXExqmWrd3i0W+OI+GDMFLj4jmSfebsBVt9ftetLZb+ey5SCsnere+m3j4VCa/K2MAR1h\n0tmiMm9RcrMqK5ecjNVr4YxIycdoEQa7C0S6wWbsNPRTPD06SE46G1Yt4b7rtsCFcXJyhgXIbNdT\nV/w9reGR3fBeJaHXymhhWErJgDtpFiWIkGg+ctBWN4e4ALBFA7afeaKBWldQCt7rImrSN70MCbPE\nS+oNUWGQU1iRR7gjCQa7uOH3bieLu1THZp96E+w6LFW8b3wvN96oADi7IdzXSmb5A53oJQVZoH4g\ntGkBLXNh+ifwxo+w7yD07QaLnj15crTkb8mzBAnpP3gJPPa5aIad27caH6IK/tgNgx6S/6d39t/5\nXhmxwaKpVNMkFsKFm+X6FxsMUxMgzFKhd3bPLqgXAF/1rNqz5CvSSqB9OAQr6UNoP+n8b6oYUl8c\nkTyoR1rD1nwYGi15YSCG46dHpBrxwko0sKrDv1vBiPWwYyj8nSuJ84OiZXLRLRIeanPyNtFBFU2w\n3zXav10RD8k+DvubeE61VZqax8Lm6fDwTHj2jgz+/iyDB75vTmzjuiW+U1qq+eClbN57Npt7LqwQ\nEa2K47nQzc3qjdE9ZblhGnx+H/zyNEx+V2YmM43wy8dniKu3suRLf2FRUhbdIEjyvEBc6JtzJBeg\nXMPufDmh+0RJHpUr4ysqUEKIqzOlHZCn2GZqKbhnaE0DFmKUOgMtkDY+3T1/awCaAR8BE5FZ7aNt\nvdyRnwlQ8G5X6LUGzpwE3/1Hwtae0qM1fL1K+h5m5MHY3t7tx9dEhYue3CvzxOB/uh1cEOdeiOaq\neHg/Af6yPWHM3JdugUEPwk9PQWO7YzM8RMJ3tj6SjeqLV9vffVv3GdVkX/eEy+vAd16THC4Sz+yP\naeIdShwO4zdL/z9byOuyxhW9/2qCAqt4S1dkVoSibQQp6Ftf5BZuagrrc8QbaN/0uVeULL+kidHm\n69QMkKrKg8PhrUNwSZyIs/6ZLar09i2CskvlWlyuRbQ3s1Su2bb2bHNTpbfiE/t8P0YT9/GJHGZ4\nCLw1Wbw6930Mf3Q9zBsL4+nev/a72VmtmuU/F/LOXWnsOiyNc5+52v3tcwqgnhteBK3h9e9F/PSL\nZfD2ZAm/FO+GdmEVrRdqWz5gW26Fexqkym5ojCyL0uWEHR4Dm3Phd7uE6chAif+3susLNq2TSBFs\nzoW7PSwljjcOjWQ31y9FPHAXxol6elI5zMd7QwtgHzKr7utHVe7qYLv3tAuHFQPgsr/g4vvgq6mS\npO6u0jtA04YilBtogWAfew68zbnNK5Sk9/d/lMfTO8NwD/LkZnSDe1rJ+89JgR+OiYdiR77o3nWd\nCLMeh3H9pIFzSubJxS03nwVzlnv5AVxQXi6tj/5OgFmfiVdH4TvF/1OJjhFipNzTUrzpBVZYNkBe\nO1wkuZo1yUojZHl1EzlmRtgdb3vzK7xWM7rJ4+ENXCvqj24I3x+FK/3QNSHIIrmr9p6rwdEi2BoW\nICHYYCMEe7hIrt9hFjkfHNNCNvmhYtLEM3ymO66UVOCd0xsufB4mDEjl3D4w6cN4uvWpHYNr3dJC\nXr3pGDuSYHg3+PN1z0IiNiq7OGbnw5fL5SK+67D0J7xpDDxlhHnmHZWk97rSq+rrVJjoomnqr+kw\npS3UD4KRDje83DKJ9a+2K80OVHBRHLx3yPNxhAVIAnqim+s/gKy/7piIizYFxnv+tqxBxE7PAf4E\nWgNnx1a2Re1hb8D0joL5vWHMBuhypyTGPnAN3HIWNHTTUHRsHeUv9iVLyx5X582xLLj/Y/hmpdww\nxseJh8MTI8tGFyNU8n8dZLFqUQ7/Kxvu3gW3vgK7v5CilP2p3n8mG/lFsOAP2JMMQ7tA3/aST5aZ\nB/95AyZPhhffltxIkJBT7yh4qWPF5KImWXZcJkL3t5ZqtW25NasW3ihYEuDTS+S3tvcM1bSRBXCo\nUI614yXi2bdnfTZcZWc02YwuV4RY5DP5E60rzqNfj4sH8PqmUlFYrkWcNK9McmaHxfg3Wd/Ee3ze\n4CU+Bla/Al+ugNe+g2sGpnLjg1FcfWc9mrTwfz+Z3Gwry34o4IeXjrNqhyT9Ln9RZBx8OZv8cy/c\n+7ycnGUOGgWfLamQLbgyXsTx6grpJdDKRT5SYTlEu/C41Qus8HzZKLVKqLFrBMy2c03FBBk5aaGV\nf+ddgQ1ujjsMuMVY/gPci/u5QUuBeUgPwx+QmeK31G7Fozs4fr7u9WD/mVKxNScFHvsMnvocLhws\nE5xLBrlvdPmLldvh181w7UjXela3PCAl6Rc1ktJ1X/b5sygxKFqFQcdI6LoaLn0JPrpbdO12JsGG\nffJ9udtkG0RV/7u1MPMXyXWyhbAd+fmFiv9XDxAvRG16sT45IqGjYqtUIT++B2Z2l8q0qgwJX1Lb\nnnwwjBbj/0XpJ8u5WPHcUIkNlmuqvz7fjdtEIysuWLxZCw3dR5vHC8TjNqKOVEzXJEqpM4GHgL5A\nE2C81nqBwzrPIXVP0cBq4A6t9T7jtVbAFGA0EI+00J0NvKC1PqntjVKqPbAZKNVae/SN+yUyHhwk\nXp1N00RR/cvpOYxrd4TXxyayaXUR2sd9QKxWzZrFhTw3IpHRTZJ45PrjWBR89TD8/qKUp/vqYvft\nGrhgIgx4QMQTJzeHAVFS5bFhEHSLgPe6wpD60CMSvuxRdYXfonTRTqkJfPnNB1lkdnxPG7i2acUy\nqL6oE89JEQNsdrII6y0+LomZtp//qm6QhFT+eTIxtODZgZsEbEeMLICtw6CBsQ8PWgDWOM6+k3qB\ncuOc2R1SRsKUdrB/K9z+DjS7Aa6+DX7eINpttcGwrpJcvtFFTkhugRhZz7SD+X3820zZ5u36dTNM\nmSLH3UvfSF/SGb+43m5fMrzzI3S8Ci57CdpdCSMfhzd+EE2l7UOh7BzYNBg+tCsGCbVI66xOEfBU\nO6kKq00jS2sxqFZnwsO7xYPUMBju3AnfHK29cdUWaSUiCKy1VPXZ54U583C5w+gGksrgLz7vDvsK\n4IatUl1oamOdQASSonkXTm5tSqlHgLuBycAApJZqkVLKZhZ3RmzvW5F5/33A7cALTvYVCHwJeJVo\n4FcXU3AQTL8VnrtWRAk//g0+GnaUTs3g4vtiGHlBGK06BGLxMK5mtWoO7S9j6/piNsw4zuK/Rfyw\nW0t4cLyEU1p42O3cHbSGm16tCAM+0AoOFkGjELh1OyzrD7N7wE/pUo33RbJ7IcNzN8rfq5ucmD/l\na0qM0mqXr/nI7G4QfHIYSGvpS7YjryL3y1YFdRkyOxuFHPmNgYE4l34ocfG8K34Hljg8d+8q2F+L\n/QzdpaqfwxaWebyt9Ev7IlnK1v/7nCQaD46GLoOlzZQ3IXN3CbBAWZmEMr5fJ90SYqNg1jJpnm6P\nLXzXp4Y8bykj4al9UiWmfpBikOYNRbrirR/lO07NkkbVwUESGuxxJxQaN7TU9eItGNVAKsG6RFRM\nnGw6dpOai2cXxMi6v3XNfLaqUAp+6ivhw405kFkGx4rh1c7wfpKc8zWZhF7b7MyXasO1WXJu2LMs\nQwwZTwkNkEpZf9IpAu5rLcefM7QWPblgi1Qk/lPQWi9EaqRQyumU5h7gea31D8Y6NyA62eOBr7XW\ni4BFdusfVEq9hhhbDzvs6wVgJxIgGeLpWP0fy0Mqi168AZ6/FpZsgfcXwhuPZTL1wUyaNIC+54bT\nY2AIjZoEUF4OYeGKkFCF1iKPkHKojMS9ZRw9Ukb6pgK2JYogKEjT3LvOk1DA0C6+n0EePCp6O2cY\nB3mhVVrPTGwms8M5KZJjMvMInLNBNGGuaiKJia96qJdztMS/htZPxySO74wfjkk+ib9QSrShGjvk\nqdQLlHLpMg1fHYbFiCenDzAOaIhUCMYiN8XdgCd5958iHq36gZJnZgX2V/fD1EHiQyRx9qE28HcO\nLEyXRsLf/gafLYT9n4rx4w+O58IbC8ASINWN8dGi0D7xLZgwrCL5flsiXPyo/F9TqujxIfBBN8mT\nfCdJqrBe/hbOagDzjeTsjFJ48WsJdScapfCTmsEz7d0XEa7LzXtHNZQFpP1N5wipNk4prugVebqj\ntRharcLk70SH62Ch1fv2W7HB4hHztWyH1rAuW/IxwxwM4nKjZU9CgQhV55XDCx18+/6nMkqpNkg4\n8H/zbK11jlLqD2Aw8LWLTaORIIv9vkYj/oBexl+PqRFDy0ZAgBhE5/SWJsvr98LCTbB2YwFTvyqg\nrNz5dhaLiBnG1YcOTSQXpXdb6NXmxPJtf1BUKs1sZy2T5PZyDS8nwKNtxHh465C0P7gyXkIHh4rg\njyy4xYseXP52Cy/LhKkuTsblmfByLZyok+y+pxlGGOa1BHhoD1yDyDgcAbYivuEkIBIxyCKRpPh4\nwNU17hngbWBjGQyLltns1F5++CB+wNvDoWdURUjucBF0XAkT/g0/fwChfsglKbfCyO7w3Fci3PvB\nXXAoXXK0vloFVw8XyYWxT0N8sLTRqWl5kzbh8FoneKWjqG7/dlxamMQGSWXcwUK5YXWNEG/bOXW0\nQKK6xASJ9/NDP6j912UWpEme04bsk/sjFpaf2LXDU0Y3gB/SpB2OL/nmqBQPpJZIX8diq0QDjpWI\nV39QtHgl6wfBxX7S8zqFiUduGY5B8qPGaydh5GDdDdxv91xDYCZwjdY6z7njrGpq1NCyJzqywugC\nEffMzJMmzoUlkmNSbhXRwbj6/rlBuENOgahIR0fAtPdE4uA/ncTI0lp0VwrKxSMzsbl3J9vljeWk\nmrhdEmgb+Omzlloh1MUvXmqF8Fo7Gk7k/taStPsnkuXo6p6Xi8hDrENCiqXAMST0GAhEAXHAc8CH\nSL+y3LNqR8OstmgeCgv7wjkb4d/3Qudz4K+FMG2q7xLnOzaFHzfAuL6izzV7uVTjBSiRPPn4N0km\nD1Kw90zX5fI1QYDy3NN8OnFeI5h/DO7wUI7lVCazVCIP/2rpXPNvX0H1PJJhAWKs+ZLVmeJhtQB9\n6knKxa/HRSrkmfbiqf0iWbTnxtRSWyVP6De48nSBOSmy2JNdhrTw8C0K5/lczYBfgK+01p/YvfQh\nMFtrvdpue4+pI7dWMahsGjf165AbPjZKKhbDQ2BvgbQEsbWxUApWDZRcI6uW8JQ3fNgNtueJS/uq\nLfBrP9+N/1SkyCpGU1XajvWATsYCkvG4B6kunAAcRKYv86kIF85OrggRKCXqzs1CRZw1OvD01Dka\n3gDe7iJ5hBiXkMUTYek08TrZl5B7Q9928OEiQEmOVnoO5BfDyt8ljAlyQ/i8e+0aWa44UCA5LmMa\niHfgdGZI/ZNvaKc7qzKlPU1bF9XWHcKlQKNHNWQvGgRBRolvJskHCyWN5NLGMCtZwoIKacMzI0ny\nyUqsYjRXJRmyLRfmngK/99VNZLFnUw70Xev1LlORr60xJ3q14pDKwf+hlGqK5F6t0lpPdtjPKOAC\npdRDttUBi1KqBLhNa/2pO4Opg5e9ukNZOZzXD16cCytWS9jQWUJiVDW/xegg+KYXDFjnPx2U5KIK\ntWBHispcJ8nXBuEBovrurpipjVTANmF92eG1LhFwQ1NpbPuvJnLD1xrSS+W7WZslvSFdERkooYfG\nwfI34hQ7cyY2gz358OpBaBkqs/Bud8rfUIvM6EMtENcNBnaUHKvmlYTPjufA7iPSq/DLb2FL3omv\nb9oPzULgtY4ygfiojoaqEgslHHNFvFTF5pRJwvSQSmQZCstPXa+oxVJR9Xu6c7BQPONvd6ncAPJF\nQvuYhmKsXVHN8GF+meRX3t5CHl/QSK6H2WWiVj+5BbyRKM+9cwied5HuobU0mR4fJ4baPw2tdYJS\nKhUYA2wBUEpFIXVW79jWMzxZS5EAyi1OdjWIE+uvxiOJ8oPx4BZ1it0uapalW+DTJfDkBJj5G7zc\n0f1ZT0YJnL9JRO3e7SrVTpXRNRIODfffBXxOisyQnBFsgdw6djL2i4WkdM+2uRt4EemD+M1g6BgO\nW/PE7X5dU5kdPrddXNhjY+VG2ihYlp5V7DuvTGaZqSViVBSUV3iCbDcu2/9786FTpBjgMUEy240O\nFIM6xINcEF8WhCkFUzvBrc1lXPUCZXacXiJl7+ml4pU9vBXmrZIODyNioO9w8XplF0DDerDnCCxf\nIrkupVqMs/hguCZewuY782UyEqQk1PFlimiq1UV250t4JqNUzgFbk/S9+fC5UTHs7HRMKYFrmpwo\nvnkqcTp6be3ZlScK8Kuz4ME2VXuZrLr6sjfhPggfai26Z5NbVDwXHSSVonOPwp0tpDL8MaNdWGqx\n6329f1h6NQ6PgZubw9tJ1RtbXUQpFQG0pyKc11Yp1RPI0FonAdOBJ5VS+5AAx/PAYSTIgVKqCVKY\nfhAxnuJsOVha66PG390O79kfsGqtd3oyVtPQqoSDR0X35+tVkpj88B65aTomUzpjeaZUjAD0XgM7\nhlXduNhfuVkgeQgPOGlECjLL7R4JS49XhEVrk225sCJd1NtdkY/kaNlPIM9GhE1fAiashfWjJWHU\n1v7o+qZiDHhjzEYGyuJO8+l/7YAp8TILzSyV5XCReMxK9IkeBZtx5sxgSzdyS4KVjDk8QKqPQi3y\nOMQiS6hFDIVgJR7Rym6k9iKVrmQIUovhsyNy/H6zSAo8/vc9BIjh9FJHCUN1ioD3kqRDQPd6kGeE\nZrfmipEyvbN/esH5gqXH5Tea1BwWHKvwRnSIkKVci7Hr+H1atVQZu3MdqIuEWGTiUBfDuNVlVSa8\ncED6YE7tKLpZVbEuS7T/qkt0kJzrriIHVTErRa5P9pIbJdYKI8vxOHQMG27PE6/14SI5dv8eIteD\n07gFTz9gGWIna+B14/nPgFu01lOVUuHA+0g14UpgnNa6xFjvHCTTpC1SZwUVOVw+dXmchqeabygu\nFQmJtX/D73YR3UnbpcKjKiXgkQ3Ec7Ipp8KjUZtUNYm9rxXcvL1uGFqvHhRD6nInr2UBM5CzqwRJ\neO+M+Hw7AMOAO4HXECFYW0uNg4UwdIWEF3sCV3UUr4Q/2oBYEW9ITJD3F12Aa5qKwVWiZbZcUC5l\n6EVWkapIM/4vtsoFuUTLBdaeysJEjhfu3flydWkfITIjLULh8jhR0A8Assrk89g2O1gEScUiibAq\nU6pvQyxw0Mh5ur6p8/ddfFxkBh5s431JfXUpsYpnL7VEKsbGONF5dhXGtygJvx4shNanoDzCmdES\n5vJHj77aJLtUJsNL+0k40F32FIi4bHU5q6HIhwRb5LwcXB86V+HNLSiXkGCoBQbWP1n+ZnYK3Ni0\n8slTWomkPlxoFDpEBMC9rav9ceo8WuvlVOH411o/gxSfO3vtM8Qo8+Q9Pd4GTEPLJQdS4eFP5GI7\nqSlMaS99AtuEu9duISYI1g+SWUbzEP96q6rC6kb+gcUCIXUkpHBxnIRu3gOepuIgzUd6HqYDT7UX\nY+BgIczYJwpzoYjRddBY3z7vYnWmBNQvQdr+PLkHXtwDL3eV/KWq1PtrC6XkdwmxyIzZn+SUwdP7\nTk5KrYpQC5wXK50SPjsiodopLgRS30qUViLz+4h2W23c7BMK5OZ6sFC8U9GBnuvXndVQPsetLape\nt4dejJYAACAASURBVK4xLhYe2Xt6GVpaS9X2O108M7IAOoXDthw4o5pVuOEBcGOzivHMTqna0JqT\nIt1FnI15XZZ4j6vyPH52RLxbc1LglmbwjQ96epr4ljp6e6l9ft8qOShnREgC9eB1orNzvgfqwQFK\ncrpq08gCWJPtXiPZutLd4dLGMKcHrEK0tHYYz7+HeKTWDIUn2onHZEo7OHg2LOkHT7QXPa0WwJNt\n4Sq7nLRlhgTdNsRH3B7IBu7YAX1/EyPaF0nCZdZTt7FrVCAUeZFnclGc5I60DJP8keggSCh0/n3+\nqxWsHgg/p0mIZ2Wm5Hvtya/++Ktif4EYR/9JhCNFcLgY7mhRkZvlCUrJTXRXXtXr1jVCA0+/Vi4f\nHYYB9UWp31MGRcNmH/+OVeXBzU2F6QdFyd2ZkZVTBrvyoX8lIc30EpiyV9ZNLJSJ5bos17m4JrWH\n6dFyIK8Qnv4Sps2XcMJ7XaUKKbsMJm6D39LF9e5Kj8pdVmVKjsj4xtUrK3aHBcfgERf5WfbsyRdD\nwVeteKrDVU1EwfrStfAu4tn6GdFAcmwzEWSRkOfohvCkC0/KtE5w8AisQPLRtuZJo6x8YB9w5d+i\nIt+rjYjPuurBl1EiAXxXKtBHikQy4p9KoEX0ilZkykXfRjkwMgZahMHxUvg1XULrHx+W1wOUGM5n\nxvjPUF2WId7LL5LlRnhvK2hajdDxmTHwdqJ4uT0pcjDxLdvz4Od0+NaFEPHBQhi3AnYhuU5JRTC7\nu+Q5HipyLftQXSICIKkQjhbD9nyZyLYIlRyqYdFQL6Aif9SRL5JPFHN2xt+5FYnzTUJO3QnePwHT\n0LIjpwDGTpaqslubw7VNKpKHo4PELb3oOFzyF8zt5V0yqdYwLREeMGoZpiXCnjP9mzCcW+Zee4iO\nEZIA7apNT03TKwrOai45DLciBs4IL8dWLwgWj5VQEcjFuX04NFkM5yNtfqYDvyTANwnwSDcJD/2e\nIRfHtBKpOnxwl2h83dRULmx/HxFB1a/HSCVfYtGpW40GvpH5UEr6A9qjNUxNkByUlqEwr7ckDn+d\nKoby9ly4eatU9vojpFVmlUT+/HLj/G4mHq61WZLXNrqBGEyecktz6Rt4V8tT60YXEwy786Q69lTm\ncBE8tkeuza76yl6/RYwsgHeNlOeopeL5TkIEqP1x/R0fB/OOysRi5hG4rLFcf85rJNeI9i70In9N\nl8nxzc0q33+fKLh7J0xpCwF+yDU18R2moWVQWAzn3S7l6cv7i3fHsTFyfKjE4Ec1gCn7YFpnz9/n\n02Qxsm5rDi+8DM1vgDcTXeuh1CQfnQG3bZOb0sg6kBQPYtDklcEcI+9g+DooqEZDaNvFuLvhReyA\nhBNvBYYiSnavIkUPjgQibX9aASuS5XEs0tX0/SRJ7k4qkpy8UxV/RZSUgkfanvhcw2Cj00KieIQ6\nR8L9u6X670iReJHdCXm7w6580VKLDJScmCUZcuNrFCxG4LIMWJoh4afuHrxneIB44t5MlHyajhFS\ntbm/oEIy4ECh65y12mJKG7hzF3xSR/XN3GF5BvyRLdfSFi5y7NZkQmKB/L8EKaD5AfGS28rMntkN\nH1Wl7+IFSsFlRiXrBY0kUf/ZdpVPxNJL4D8HxfCvqlAkp0x6LCYWVZ0LZlK7mIaWwf33S4Xgsv7Q\nr37lOSMtw0RYrqDM87Y1yUVSon/+jRKmvGc8vPq9XKw7+kERP7fMs+TQD86Aq/+WKpzgOhAOGRIj\ny4D6cN9uKAL6LoJfRrpXul0VEzrCE3vk//rASOBMJKS4FBFOVUj9bwOc91R8AJi2RypNk4vFeDBx\nD9vva+P9JHhyLwyOlqKTjw/DTc1O9hZZNfzXKId3J9S9Kku81AvTpF3W7XZJ7EpVVNuuz4JPDsu5\nOLQS0VJ7YoIkDJlWIkn2jYOhf5MKo362p8q7NUBooAjK/pUjnuNTjbmpUvEZGQAXuOjz93OaaBmC\nVCdbkIKZSxFDC6R5/Wagnp+vdYFKvusn98GXPVwfVy8nSMjwIjd6F7YKg2ubiiagSd2mDtxKa5/k\n45JM+Wx7GBgtM9xZVbQtCAvwLpdpYnNoEwYXvwBtboU/f5eqrXEbxQ3ua75JhXM9PBEfawMvHvD9\nWKrDva3hyAjxEmxCPIq+oH6ghAK3I4bVj4iUQRQiATwUGELljavvN17rvw7e2QOtQiXZ+KuUCoO9\n2CqKzkuP+2bcdY2VmRL6e26fyGr8mu5dwvXkFtLs+cI4MbYuaywK2Jl2qv3pJfLc4GgJK6/LkgrG\nb1Phy2Qxzkrs3nveUcmJ+fiw3Jxd3ZgBBkRLOLBRsIR7fko7WTLDGUqJ4T8sRtINbEZWZqn/q0W9\n5el2IqVyqlFqhR/TYEuuSLQ4I7mowsgaDjxo91oAUljzvfFYAxef0JTF98SFwNtdxeuZW+Z8nY3Z\n4lntEO7eJPetxFPbe/5P4h/t0SorhydnwZvfSQLzTUZM/NfjEvOvdFvtnccnPgS2DZUQ04pMeHC3\nuICzy+CmrbC4v+f7rIwNOfCWCz0jV/SIgumHfDsOX9A0FP4aDPes9az6szJs3qfXgAGAN712mwEf\nAQuAN4FeS6FdAwm/vn1IvCOJhZLHszITHt8LH3XzXVisNskqFaPnyX1itGbb3USmd4Z7nLSsqooz\n7Txc0UHyvX16RNTmA5R4B+5qKcbMpY0l76pbpHg3lBJv8ydHpIJyS67k1k2Il+4A7up2dYqQJbVY\nEpPDLGL8ear7tTkHutah3q32BFqkOOC2bTCjq0i8nAosTIe+UZULxi5Ik7+jgSlOXrdlfZyBTNxe\n8nOj8YQCOW4vjoMoF4b39ESY0Nh1IY49heWia1dZo2aTusM/ztAqKoEdSXA0C+athU9/gwdbS6WU\nLV9jfba0FfEXSkn48bowaZFw1RZJynVMIPYFWnt3AT0vFj4/AjdUkZBZ0/SMgt+9yNE6WizyBWEB\n8EuafO8AO/Il7yoPCQ3uA9Yijaw8IQDR6PoDKAZWZcCbXaBtmJScdzJutpc0hofbyGz7/9qLgVAv\n0HUib01TanW/8nRTDoz6UyYKnSOgb384u6f0QHzpG1Gq9wUByvVN1VHg0UaIBdqFSc/Cg4UwwcsE\n+/gQmYDllUmCcrFVQjVVNfO1MTRGQpHnNZJQT11jdEMxIm/ZDp90OzWMrc+Sq84te2sH9ACeqGJf\nhuoLQ6PhokUiiPzqQIls+AKrljyyOSni7ays0OjSxq69XY5klMo96nRvgn668I8xtA6lwfNPwRcp\ncrG08UHXE0UHV2XB1fGuK0JsdAiHe3bCKx2qJ/XQMgxWDpCkRl/kHPmKy+MlFFTXDC1PWJ4hScrP\ntoe9BXDDVjF4ukXCO0mSe7U7X5Lbt/8/e+cd31S9v/H3SSfdLbPsKUuQpYDiQMS9x3XjuC7c47q3\nXr3Oq15x763cq+IWBXEBAorI3qtQ2lK6d5Oc3x9P8kuaJmnSJm1a+rxeebXNPE1Oznm+n8/zeR4k\naj8ZRfs0FpnAhcC1wDHzYfOR9fUYHaLkSL+wWJqeAQl1qzgtiWk9VIULxFn68S06kTxwDtxwEuzY\nA58uhL6O1ty2yvqPKaqFuXtgXYUqVJf2DF1rzTTV6iu06jvs1CYeEIKTZlK0LEdspioqeTUwLqVh\n4XycRXqwT3IlDTgoQj5nd0xMh7gouHk9PNmIAZ/mRqlViyZfKKqFzcA0fGtjbMBXyKsP4IhFEsrX\nADcvgp+bMHDjRH6N9vFv87WfN7SvnNJVre9A8G62FmztaB1o00SrsAz++yssXAcfzJMD9F39YWpH\nHTBTouu3bzZWBHbSu76vysGXrdbES0mtK5zUjk7ih3eE07o0vEqMMsJDstaUQY8mjP0OToSFhToQ\nt0YcmiHPrAMX67PfPVmVI2fLd0mxHOOv6yObgbOWqxrVFGNlE4nqr0Mi+Qc3adrO02dpSTGkRMm+\nIhJ8y5yYlC5tWUOotssKZHyqbFGmXAZnnw6/roLl2yA9Ch7dCtk1MCZZ78vKMomY3QPMb1mvyldm\nnEjI5gppCs/spkkq53dqfqG8z7Kr9d2yAF1i4WpHa3JFKSwoUks5HLFKTkQZrrb1kmLpuHrEyQrE\nV1XSOX32W5HE+EeHqO0dSoxJgXl7pOk8vVvD928JmKa0Wf7yRqtscOAPqjAf6uX2amA+8tObhCpY\nsUgkfxXwKHD32NBs74tZalv/vUdwk6wN4f1smJUHV/ZWNbwdkY82+THlFsJbP8Bj78vDZFiiDDtv\n6ut/JbSnJjizyX4J8PZI2FAugbv7CdNuh//lwknLZHrqfvC325unRD8zB6YFqc9yxz/6yshzTIGc\n2FsjSm06EX4yqv705f6pLuflwxxt2w3ACU14Pee5djQwGLh3E7y1CZZPgUS3fe/3CWqBzMpTa+GL\nMZHlw9TQRO35y9WS2380POFQFY/ZAWtW66ByXiYUDoRlv8P7u7SwGZoIlx4P50+GfXrAn5tg4y5V\nwnKL4Mcf9ZyLi+G+TSLHRVYRsRpT709mnN7jLMfgSLRDtzUsyWXe2BjU2DW4UOzQSw5ParjV59x/\ndlYpMireIhLm6+Q3MlmTcJGKm/pJJzo6GQZEmK6swgYvZ8n6w197bcoceWbdDHg79M0BpgA9gQXo\ne7oSkazFyK7F09bHHzynNu/eIFnCjmr4z3bYdVhw3+vCWk2+Oo9LntXwL/Kk7f3XPu0kqzWhTXxU\ndjv8tFKaqwW/yIwSNJHyz4GBuz9/m68vcrAY5OWgZLFIF3J8Z7hgpVbfzu+Ms3V5dCet0nfX1H2s\n836m43e7qS/c5AyN/QYqwq+yy524sYi2wMej4do1cM1qTWzd1MrK1XEWeG9kw1qGVMc3YS0wvQmv\n5xxQM9Bk0wLgLkSoznU78idGq2rz8g6RvKLauqaypqn9OK+m+YO+p/WAF7J8f9alVvg2T7+XV7uu\n//uRcNdZ0CkZ4tz+l/wSVXsyPFb1Bw3T5f9xmeM5q+CdeZBTCN0zoLIGxgyAg4a6FiiFZZBxjtqc\nyw5sWlVwfbk8tCamKmB6/5TgTGd7xEvHVWlTxaXMpilHz+PCTwXh0WGGEi8PhxvWSlsYSd/1mTki\n0h2ifFsjbKvU9+1E4EgfzxOHqlf7AJ8BTyLLmALgIeRnGIzL/xe7YVe1JmXv36j9KDNOx+wjMtRV\n+Hw3zNwgWcERgyHPEcR+fGdXUHynGHh0C+wog0KgC7AbEcKbhkhD/G42zClQ4WC8n2iedkQeWjXR\nKiiFZ76Adz5TtlqPOO2A07rD+ZnBZQyaprINQ+0dlRAtF3lPlFjVRrioR2AiWatdJ+sb1rrczfsn\nyL3eF5EckKCA36a2Jf8zFN7YoQpDa0OgouX4KOmzZgEvA7eF4LUNwMnvBnsh45/mySV9WxV8lqcD\nvIk+3z21qgIV1DY/0do/FV7Jqn+9acKdG2QJYDXh9IPg5Sth3grolALjfJjudgpyMioxHq44xv99\nKqpUzTrTh4+W3a6qQkNh0TZTBOiKXvq9Z6HLZDJYdIjSQs00YX6R9J7ubcWd1XBUhIuXYy3w3DAJ\n/69yhIw6eY2By9D2r1K1ea/sDTf2DX4a0xtq7Yo0WloCQ5PglC7QP1EVw8w4vb/lVg0meMNHjp7/\n2ah16AkTl/h9AyJYpUAy8DqK5Ap2SnZEkirSgxI0fXtKV6VJLMuFCmS0HA/0RSRw7jptW5Xb9rqj\nt+MSDSQ4tu36tXD/WlXbju6t97xDCN7vdjQfWuGpUy7ub/0Ad72q0e4zu8E7I+Sr09jprflFmjxp\nLqREBzcJFW2RdsJdP/FnibxUihwHnvgoVcmmZmjlv0+CHLFD4fL+cyG8MaLpzxPJ+PQo2H+2wqZD\nBWdRYP/fwHZk3f3TmWVmmvBxrvZlZytseJJaTYESxVAjxoO8fLRLAdyFjn3t10dc1ahTD2zebau1\nwsuzRfbu3aRqwrBEte4sFqiywhWrZengj2htrlAr72+O79QHu3z7MgUDw3BNmO2skj1EtKGW3Ie7\nVGmONiJ70OTELg2bZlbZYMR8eGAT5Bym/2tPDaRHQ88g4oxWFMOpf+nxI5NVTfs4T4MqZTaosMMr\nw+HTXC1CTvMRmnyAo8ozBzjPcV0N8BeqEoEq1nbkq1WCKkaZyEPv7RHBEZgtFZDj6EasKJMO69Ud\nkgzEInJ1EnAsInHg6lJsdmxbT1RlK0BVLAMJ9d8HBiDriX2A7Y7HPLsdXtoOl/WGx/cJzoy6HS2H\nVkW0KqoV9vzEhyIX52TCk4NDczLaWBE5GX+BYnRK3bT6MqvExtes0Re60ta4PEZP/FIgo729AQnA\neqASrTw3oAPfCFwr+2Dgrnt+KQumezHqMozIEyC786z/bIPr1qq9+t9b4dSJLWcDYLfDi9/CzafC\niL5wxqNquXSOUWZdvEWLknIrHOuHKKws1ckxr0aLiP4Jao0HUwUPBD0csV0VNlWJzukOT2yBy5qg\nJ4sUxEfBhkPgX5tgxAJ5QM3MVWt56yENv5dWu2QJX+fLrsG9cvvCdpGug9JV4bprA0zv5d92YbFj\nhdQNEScrqijvh6xbAFajKJ4Sx997gG3ICuL8IPWs/RIgoVD/9yULZAtzBP4tJZzHEI80Kty5YxRw\nvuP3AxBxnIAigyYC/0Mt8xnbtd2PjNFiox2Ri1ZBtPJL4P2f4Ln31Ga5qAfc1KdhC4ZgYA3A/TnS\nkRQNF/XUxYlLVjb9ed/IhleHNXy/toDHxsOERVqFRiGSBTADGN7AY53Tpp6YA5wFvLvGO9GKRDhb\nRKYpkgUyd735P7oM6ADTpsG0w5tvm0xTlaxzD4WkDnD0GL3fo5LrDmtEW5Q76QuLi1SJODtTIviL\nVsKUjLoaulAhq1K6nRI3S4IKm0TN4Xi9lsDtAzRodPdGuKC7KncHLYY1k3w/prAWDl8i7eqqg+oO\nioA8ohYU6fP9vURVR0+SVWlTBWrmLk1+r3OkMCxArX9vPM+9fXghIlwLgAsbYawL0tfOyBLJGgdc\n3bin8Ylo4GjH7+McP68GJqPpycXAsUthGJCSKqnBlb1kjNq3ESHp7QgPIpZobcuDL5fAj7OkX6k1\ntfN8MlptlVBiVVlw4tfWhN7xOhA11rDRbtdO0hqMDEOB8WnwzRilAzy1TdedhctJ2h/2oOgeT1iQ\nXuNwz2VsK4BhwHUOR/symyaqYgy1pC9+Bg4cAgObiTC89QOcNN4lqo+NVpt1fYUc3N0r2+N9VKd/\nLNCiytkWi7XAkRmK5TnrL00NJljUxjq2c3DVctPUiXdrJWyv0sRrr3hVSj7KkZ5ndr4mJA9OF+Fa\nWtL6KuneEBsFj7q5qz+5FQ5dpKns7nEwZYm6Bnf3hxEpcNqfcEt/ETRvOKWbKmV3b9TC+liPik1u\ntQjy2BQR2bf2hWeHKhGgHN9xWaCqUF9gKCJZnyCCGCzsdrhvvSwjBgIPAM3lSTvccbkEVei+QXYr\nANevUzj7LwdITtOOlkfEEK3yKvhlFfyyGr7+FpaVajVzQCo8NEjxGeEiQxsrXE7hbQ33DIQrV0k/\nMLQRBNViCW4Kpy3g6M4argBNDE4J8HE5uFoU7tiFiNbYVhSX4f6RP+0ljqrUCqMXwNE3wB+vQ2qY\n7QA+/BkOHQ42O0x/Hl64UhFa8RZZK3yUA1f3hsf2qa/TNE0Rw4VFcrA/zONDsljg+Sw4uYvafCAt\n0Me5sm0Z18CE17IS+KNEgvAuscq63C+l/vdmUKJE5D84/Kq2VklEnV8DJ/vQHbVWzJ+gVvnUJSKc\n/+grTeJJf8pf7bcJar35gmmqDXlGVw381Nj1+WVVqSrVNVb76O9FcFlPV3djZBIsLpMuaxPwDmol\nPojE5GcDnyKJwAZEtJJQmzIYLCmGacuVKHEPqjC1BCzAVMelCh1rNgDvoqriIOARL8NY7WhetDjR\nyt4Dr34PM/6n1WBGjAxFL+6hSIKmGG4GirxqSI/waaCm4J4BCjQOd55XW0GJFW5cI8PDYA6gu9HB\n3BNfOH5G+mh/MEiOhq/HwpBf1daffmz4XmvWbzCyL/TrBo99DE9eDF8tgbximHUfvDJbvz+5Am7p\n65qyXVOmGKnhSVpkXNDDu6fRkESRLHdfIouhCcJ3sqXd6uSjRPJbkdo1/nL3QG3DL/JUzdpaKU1Y\nl1jpKpeVqqqVGl1/CMGJKpsq7xsqRAJtSDeZVyOitrNalaOzM/U/ZldpGtlqV1WyuT3aogxNx13p\n0Sr/8YCGH5tTDSf9AV1i5D/47i55qU1Mq/sdWloiAuZOrE/rCsvL4Hq35ysCzgA6AhcBacBpyE1k\nG3BiZ1XIujVwrpm7B6Z0FMm6YhWsrdD1kZKsFI+Gb/oBh6F25rPAactacKPaAQRJtC64W+PKwybB\nAId4NyMJoqMguQOUVakyFWWRcL1TCtTaoLgcdhUqmqO0ErbmQVE5LFvkWgmen6kv5fCk5j0oLCxq\n++VVK5rcaQy+yNPY+96CnwvgnCXSZ12E7wgPb8gHxnhc9xMSr17fp/WR+YaMdSttqi4kxsPOPdAt\nDaJCPAU1eyn06gTDeoPNBkN7wUe/Sp+VmQGlFTqWxEbLZmJrJawpF0H6NE8kaHKGWoF945V9OCBB\n1fERyTrW7O+nYnVupsb2D0mXeN5uinRN6ahjh9Ws39byBvcQdPcBlhnbZZuytERGqZ5aUdPxd5xF\nKRZndNM220wRybHJ8l87fqlE5TV23b68VEaaUWhwaHov3/5TkYLSWrh1g96LEclweW851vs6HwxO\nVG7psCR5E8ZZVMG/oz+8t0uTnYemqe192Uq19t9A38e5iGQ9N1Rt5Ke21W19esJmwtnLNcndKVZ6\nxaWlCqyeEOo3IgSIRQvFUcCXKPS+HS2HoIhWvw4Syc76TiVcu+kSzXrCgus257Ha+Xf/DnJgH5Sg\nE9DRnXyvGMMJpynkJQ2sRkOF7CrpCc5rZhHsrevhlUaI2RcVwpw98HxDKvA2Aqsdzl4ijcd/UAZi\nMChAbQonfkO6jcOAR/YJySY2GxKioMDq/3uZ7TArvfJZWVP0ioelrwbvm+ULD3woE+LjximouroW\njh0LXd3a/F//AbsKtMADGL9IP2MMeRrZTFWd9h8Ny1bI18iJvh2UGDDaz/ZaDGmstlWKdBmGKuCf\n5sr/7rAmLtJKrdJzndRFz7e8VNWqMR7bZDNdhGNJsSKHLuqhtmlytAKhV5aLAHpiRxV8mKNqV6TC\nZsJpf4nQPjQ2sEXJYRkiwaapz6SXo7QUbXG1gAHOToAjO0HXH0W2pqEJvpG4CGhBrf/XKqzVpZ/j\n3PXTdl0f6TNCqWjqsi3CMIyDUQjAWOTScbJpmp973OcBJGVLQ/MD003T3Oh2+x3AcYiTVpum6bXv\nYBjGhcANyG2jGPivaZrXBLqtQRGt+wbWPQDYTR0o7Gg1lhil8netY1W1qVK99ORolX5LbbpPpESN\nzM6HI5vRDDIjBrZWwMlLJepvrOdXMHhmq4z//MWp+MI3e+BGN7axqFAHs0Cd9lsbymyQDVxB/fHr\nQFCN9B5VKKD6ZbTa/f7Ipn/W3+dD17jgtSSNRXqMWvn+iNbRnWDmfnDHBukcs6uhqCw0ROujn/U8\n39wrZ/henSDGyz5st8Pfp6pyvmYHrM6CC6fA5UdDnJeTdWkFZBfAJTPg19WydvBHtECh1+7B113i\nFDAdCtzeX5XBy1bBUZ30+VZYpeOanKHJu/xaTdQd2VEL3B7xchW/e6PkFVsq4OWdIl/eiFbPeFVi\nftgju4RI1Fwetlj/711BRH2lx+h89EIWnNiAxm1eIby5L2yohE0V8l48ppOrytc5FrZXevddM024\nfJXe/8kZcHFP6OMgWq3BVWF2S29A+JAILEN+sx973mgYxq1oSPMCYAvwT2C2YRhDTdN05rHEADNR\np/Viby9iGMaNiGT9Aw16JqJ5ioDRpK+cxVC0SXqMVoedYzXFkxgtj5XhSTpQx1m0Q6dERw7Jstp1\nYmjIOTqUiI9SeX9ZafO83o4qVewa69Fkc1T87HZleH2SJ9+bvOqGH9sa4TyZVjTy8XZUxboYVcQm\nArOnhIZQj0uVK/vSkobvGwpkxqnS4g+GIX3QxgppnBY+EboJxLIqGNJT7cH+3byTLICzD4XkBE0i\nvnsTLH0aNmTDGi/O9qD7frdMJGt6L7g8jNXsr3ertfVHsb6LVkdJ//M8pUIsLJLv3ae50pAdmi6i\nZTNVOSmoVQtsY4V0ZG/uVIsrJUpk737HwveUriIJR3oTCDowNlVtyTs3uLYjUnDPBnU3HvCRLOAP\nV/ZWBevbfP/3m5AG6yr0nr07Ek7oUjdR4Po+Mn/2ho9y9D4/M8QVaH2Ho5T1ufeHRBSakt0ayTBN\n81vTNO8xTXMW3p11rgMeNE3zC9M0V6JiZncUAuJ8jvtN03wGWOHtNQzDSEOzFOebpvmRaZpbTNNc\naZrml8Fsa4uL4VsKn+Xp5NDceH6YxJ7NUc1qbMvQiQcHwX0b5aN1TW+FrW4q14TWfQNDt52RhP5o\niWTDe4yHL6xDE0yfA/sCcw9q3JSnL6THaPr2rZ3120rhwGldVak6ys/J22bCPzer7fVpiEUg3dIV\nDt8YPPV3OPEhuOBwOGF/SPCowDq/ejf2CZ+z9sIiidP7doDcGk2xfr1bGrESq+wdbKYmUT1jv1aW\n6YTeMVbHC1DnoHe8qjG/FsGSElVYOsaKjK0uV6XFH47spMXvg5tls7Cl0ntOa3OiuFZk849Gpgv0\n7aCWXqcGWo094/23B7vEqSvjDXtqXT5tzunGy3spfSA3+E1udrzX0hvQAjAMox9Scsx1XmeaZolh\nGIvQGnhmgE81FR0yehmGsRqlIi0AbjJNc0eg27NXEq0Km8SxoXaBDgSjmmnE/+mtcHojW4bu8CRU\niVHyNGur+OdIOGc5/IFcmQPB98C/UNvw6zFqqYVDeJwWrQDa5kBStCbd/GFnlarCn+VpCvC4B6oj\nwwAAIABJREFU/UP3+t3SYcOuxj02Ohpm3Q5f/QG3v6PIHlBV7LB9YbhjEm5zZehMj7OrRH6cOXwd\nY2Cio6+UFiPh9sHpat/FW/znm07vBd/vge/yVeEalyr5xagU1/Gj2q52cm6NKmRndwtsqKdHvPy8\nXt+pv1uaaJ38JzwxpGlZiTX20KSDdI3TQnKA23tiN0WMd1SJrDmRV62zb2tw5dhLU3q6oVkdTy6c\nS10pbUPoj97C24FrkcftQ8D3hmGMME3TBz2vi72SaH2S6zsvqy1gW4U0Hdf3Df1zx1rkZdRWkeFY\nGdf4vxs2FOexEC2NjgL69wxvFEa1XSLv5kLnOO1LfTz8juym2lg3rtPfsdEwMRBH1yDQoyPsbkLo\nZGwsnDJRFycqquCLJfDBz5BoEaE+qbN0N8d3hrQAF157alRJ2lXt0Kiaaume4GER4YlfCtUG7BCl\nqciTumjR50kSLIarkri8FN7YqYrN0Z1c9g9xFpmsQsPWEp5wSgke3yIdXucWWHCCNGUl1roTmY1B\nhU1aYH9wTmP6ww19VO17ym1fNlFlsqdHVfSL3bptbGM2uJnRAo2boPHBLl3c4avC2EQY6KMLFBbE\nk64xTXMugGEYZyPbxMlond0g9jqitadG5ffmaN21BKx2nQDfC1MAdEq0SultFT/sUWXK06bBHZ+h\nMfFipKS8uR88OBBuWBvebftyd9NPSsHgml7w723wmGPsfUWpQ1OUp/bW+d3h6cddTu2hRJdUKCkP\n7XMmxMOZB+tyzfFw+E2K9MqI0Qm20lHBOyzDd5LCxnJ4ZxcMTlAFZEeVCHAg2YVVNgmwe3XQ71/n\na0io0ArnZXqvgo5M1mV3jSYHQc/hbUjBNNUe21YlzdYxnf0L30/tqqnilphGrLbBucs19dlUWAz5\nifnLdf0uHw5ooJuQEeuqSDqxscJ7tWynQ7/YGiIrv2rpDQD4G0rJ9oGzHRd3LN0EY29o9Cvm4Co6\nule1ugB/BvE8Tvq3xnmFaZr5hmHkAwEHqkXg/En4UGWDm9fD3AKtQtsarHY4b7ncsePDRKGjLapq\nFTRU8mmlqDXl9vyWl9t+RROJTwO1wMLxUHkk/GufusLacGFbpTQpzYVu8VDkINVf7Yb9FsBzWfIt\n+vURePvF8JAsgDfmQvcwTgSP6AvnH6tjwRGd4MkhsjF5frjil3zhlyK1z9Nj1O7KrQnch2+nmwVB\nfJSIzvFdpLV6bSe8nw2bfUxidI4VsT2rm1b+RV4WO2U2+Mc69Tkq7ari+EO/Dmpjfrireb3yauxw\n6So4rpNLXN4UPLkPXOxVyuzCDwUNTyaCw6LErZI6r8C7TnFDhUhWa1ivH9TSG9ACME1zCyJb/x/s\nYRhGCjAeaawCxXzHz/93WTMMIwN5U/sYn6iPvaqi9VEOzBjaND1ApMJJsh4cVFdjEA7c2b9+ib2t\n4L6B8NI2tQNPwdXM/ydSVaYD5wGvT63v4r2iFK5aXd83zvl3WozcwLvEqtWRGQeZ8ZBkCSxLMjla\nJ+J9mlFXE22oUnL7enkczXldBsXhQkkFXPcyHLIv3H5G+F4HoKxSBMazHXtAKly8EoYnwk1u4dTF\ntZr4G5EhEfu3+dDBInPNQFBug/Xl9T+/rnHy8rPaYXGxLB1A7cKjPPR+MRa1Cr/eXX+aODkanhsG\nr+1Qm/G7fDjNjxrFYsAJnVWdfHCTrCEODnMU2a+FstVJilLWYSi0jMd3hXs2QXktJPoQxVfZXKHe\n/nBHfzh/Bdw3QDY23X1ov1bskgN7a0AzDSo3OwzDSEQxk869qL9hGPsBBaZpZqE18V2GYWwEtqLp\nwR2oKeF8jl4oOa0PEOV4PMBG0zTLTdPcYBjG58AzhmFcDpQiSe5qYF6g27rXEK115VqttEWSBXDl\nao0uN4e4tXs8lIenf14PVrtaM4nNtKemRMPWyTBwnpzhD0TGhs7RlTWH6cToDSOS4VkfU552O+Q4\nolJ2VaslsbBYlUF/rv3uxr+VNtlrTMqRzsd5m/NnrAXiDYiLEnmId1Qfow39HWNRtSPGoiOTxXD8\ndG4jEi84I15sdlk8/FAgV/Q5D4aXZNXUwLSn4NVrQmd66g9Wm0Trnif7y3rpMn1V3eu/2q0qlHNS\nMVg93gGpeg5fRDnaAgem6wJqU36bX/91EqKkS/KGhCi4qrfIVloM3L9RU3lPDfFOah7eLLIZZchp\nPlxEK6caZuUpizC3Wn5ZoUxKOLmLnNoP9hFzFSihi7bAOyNEts7pBn19VNyygDCpM0KOc5GWtA1i\nHCI7puPypOP6t4CLTdN8zDCMBOAlZFj6C3CMm4cWyFN6mtvfSx0/JwM/O34/H3gKmezbgR8dz9PA\nuJALewXRMk2VgK9oDQ31RiLWAoNDaCfQEHxlsoUS1XaId0gNy49oPpLcORbmToBHtihY+AfH9Q8P\n8k2y7A20aSwWxwq5iWavr2SpAvHUkPo6wyorlNk1UVtp06XG1PtYa1db1GqqTWRz22b3TY8CYqJE\nwGKiIc4QMQT46BdN8B01JjxTlXe8C49e2Dwkq7wK3v1BpMQX3MXTNlPv37ZK+I/DrLLWDuPTGhaj\n59doAGdMCtzQN/BtHJCg45bVXr81nRHjEuV7wmLINf6jHE0wfpUvgu8p6AZVsaIN/R+hRq1dx4kf\n9igG6NIecO1aHYdD7V+YEQt3bYSre8EZTdScOcnW1WvgUS+JDjuqlJ/YTN7BTUYrS/4KGKZp/kQD\n8ifTNO8D7vNz+0VoTe3vOcqASx2XRmGvIFqf71ZwaFvGpgqZIB7dTP9nZqzE348HqU/6q0QnEH/C\nVSfctRJPbYHLejffhNS4VPjfKMiqhD9LYUKqK6zYG/Jq/E+chQond5Wbea0pEuSO+GgFy4YKfxZD\n9w5y0f6rFL6YD698p2m5Fx6TmWgoUVAGg3s0fL9QYFeB3sMBfk74JjAnX4HPPxTAlAy4YR18NNLV\n6v00R/qgnvFwR7/62sjsKlWx/t4zeLPmb/JFgnNrZMvgjikdNfn2Nx+twWiLyGGVXRWk97JlbDoz\nR270zm2ZkKYBh1ASrd018NRW5ThW2vU9OrWropDGp8JPhXDfJvhgZOgq1Vf0hCt7ytvKG9EKdl0Q\nbVGAdaoXlvKvzfqeHd2YDW1mlNKecxgJ2CvE8MW1bTc2xomvxmjVvK6seV7vroFy1Z6+OrjHubc2\nH90sTdNVq+H2dfBxjlb/TpS6FWbv2lS/ldMc6NVBobP+SBZAVnX497F3srWa3lQZfm+cMis8vAWe\nGayqxOODYc1B8OFIaX+uewWqQjwQsSMfCppJUDIgEwYmyJR1rY/vTGYcPLpFwvPcGnh8K9w7oK6e\n7pRu8PoITe7leQjUl5fCm9mNjx0bn6qWryfJArWOG/I5G5qk79Bt/TV9uKwUruwla453s0Wwfi7w\nXulqDHKq4dDFitMZl6oWa594id5BAvJpPRSMPbVjaOUA0Q6dY3yUKrueCFbrX2HVRKYn8mvgxSxN\nyDWTJWKT8BrwV0tvRDv2DqIVKbE/4YTFIg3I6mYiWgBDkuq7WjeEhChXNWt7lcS7zw2DG/vquie3\nuMjXZ3kS6zrRI7bhFl1LYXulqnzhRLdYuGmdMtvCPeV4w1q5h7uTCsOAMzPhngHw3/lw4EWqDIUK\nD0+Dq18O3fP5g2HA3GdFYsYsVOXSE3cNUDTMrhqV/jvGwL4++kVDk+q3w34rEtGwmpIvBIuOscom\nnOdjCrJzrP84rLRo13TiJT1V/cqIVXXtvO76biVGwbgQMIb8Gr3WnHGwapImMeftL8L1o4fD/7f5\n4ZNxnNAZ3vVidJsWAzkNREo58dZOuHINDEvUgqPa7ZjzdraqjK2hmmUHvkHEth0ti72iddgptmWN\n+ZoLPxfC2yNbeiv84/M8CcAv9NC1dI7ThJS3KanSGviuQCvi69bW1RSBRN9DE6WBGZncPFYLnsiu\nVhsmnJjaSQHDz22HZ4aG97WeGSJB8EvD63s23dZf03DHL4VRl8G8f8OwgB1lfGPcQOiWBtt3Q+9m\naIH37gxv3AsTb4FRC+H+AapMueuezu8O165WwsJ/vEzZ5lRpseGeMmG1Sx91aIaqRxsr9DyNweBE\n3/mWh3dUTqKvgOv5RXCB43W9terjo+CAJu6za8o0Jdk5VsRucbE0YllVated0VUt1+wqVQhBrecv\nd6uVGWpMyYCr1sAlHtcPToC/ymRZ4g951YpPenOENGZPbtX7/+IwkfM718GJaLY/0nE/Ml4+rCO8\nl9PSW7N3Y68gWnk1DWdhtXY8v73x4dFNQbxF1ZxPclWturCHzPzu3ajVctc4OK0LjEiBZSXSkdWY\nascFiuRY/2PqpVZYUgw/FshF21vRKyVKFbgRSVqphtpnbFe1qhfhwspSeGKrLAJyqmUlEaitQGOQ\nEA1vjIALV8Drw+u7po9OgaUT4dAl8Lfb4It/Q78Q7H9FFc1DspyYMATWvQDn3grXrJWg+qreahHG\nWmBiOlzQEyamqrrliX9tEUFzYneNqh7nZMrGY1mpMgrDMTwQZ/HtlVVhk/VEOF7XNPVd21KpsOuL\ne7he5xCP+zmv/6VQ+kIQKSu3aRtDPeDiyyZlWJKsJbx5YtXY5SW2sEhu5DMci5gYR1TSER0dYvsN\nYEX2LpGMMuBGYAMwjObJRm2Hf+wVRAvCc8CJJPxeoiT75sa/9oEDFirKZHiGWk52E17dVyeqLRXw\n31x4IUuu1Sd0kbP11WtktxEKJEdrdX+4H4PL/BqtTH8uhLey1c6x4JoLdiIxSkaO+ySoHdQtNjCP\nq1JreMl8nw7SSSVHqdKU2YBmLBRIiYZXh8PVa+FdL5XSrnHw6ShVtiZeDT89DYODjIPxRIcWqDrv\n0wMWvwOrs+C17+Hxz2F+IcwcCR/m6kTbJVY6PM+MwgpbfRI6Msn1+dwzQIuRcKF7vBY2njqur3fD\nsSEmrNV2+DJPZOTQDJjcgKFsranhlw3lmnJ1utTP29OwmWpTEB8FRTV1P5d9E1WdAmm4PshR9Q00\ndXlUJ3huaP3v+qYKVTm/zINHNssqIZLnqvagUL7NwNW9VZleVtrCG9WOtk+0NpT7nyxqC6iw6gTc\nEoi1wIIJ0jJ0iVN7yx39EuAWL85+KdEwohmNNzvFwpGddPGHghpYXS7ftR8LRQ6hrp8VuAKz4i0y\nNVxfERghayySo13j5BU27xEs4UBGLKT7OUoMTYLfJkgAPeUG+PlZ6N+EylZLrYcMQ2HT//47HLEf\nHPcAHPo7fDNW+8DcPSIOFlzu7gU1ddvFudWq7J7s1hIL1DXeH/zpuw5LV5vyXI/WZJktdFOw+TUi\nbhbDkQnpZUFhmmoX/lHi8viKscB+ySIqzoXujwVazFzcRELuD2d11RCCM+u1oAbe26WhqFOW6vM7\nxgexcseSYpn0bqmAU/+UeXEkV7P+AB5HVbc/JsJ+7ZWsiEGbJ1qryjQK3ZYxa3fL/o8JUcG3ALZV\nwmc7ILND3W1/JxseXwELp4RmKsk0YXMl9IhzGU36Q0YsTIrVSH8gKLHKrX1+UdO2M1D8WqisSV8e\nSi2BzrEwZ38Y9iucfCP89V7rriAfOw6mHwMvfKMWbXY1XN5LJ95yt0k/p7DciYJaEatQVhttpiYe\nfSHaouqsO34vlnN9KLC2DBYVqxXq7p1XWKvXyXPbtl7xihPy9b1dXqpJycNCbAvijkc3w4INkJOi\nxRLo2HR6V7imT3DP9XuxtnneDnlRvUhkelLVAPcCvwHDga8OqV95bUfLos1PHU5M0/RPW8bCQq3Q\nWhN+26MgqmN+r+syf/8KWIGmfhozqeWJN3bCwF9g9Jz6gbGhQEo0jEppnlYeqGJyYpfA4kRChUC6\nPHnVMqXcVhWaz62lcdtp+nninzDKUUpcVy5xui/0itckbSjxUpZ0j/7Qr4OqLk6sLYd9Q2BenFUJ\nS0rggh4iWdV2fZ/ey5YAfmSyKmnOyyEZvknWjirpDEPh81dm1XZMng1TZ7umAk0Tbt8AnyN92gvD\ndXlyiLR2wWJsCny6Q224IwD3Ac9ngXPQMawlUQxcCSxCwfbLj2wnWZGINk+0usb5XxG2BdjM5nFq\nDyUmOYhhLYqmyaqEd3ZCH8dq9+1syPhO5f6m4G2H99Y2YNjc8IVhh/Pt/7lAUSnf56u6clrXyPq8\n/yqB8YsUeP37jMa3UCPJuqNnJ/jbJP3+g5uFhb9KXVJ03YpXKJAeUzeqZkuFRNvuGqdJ6XUrqj3i\n9J1qCvbUyDD1PMdE4/ZKeHWHzGvP7Q7HdXalJFTY6pNr05QA/u2dCsGeV6AWYlNRboVxc5VF+Rcw\nB7htPUyZDccudektfy+Cx7dIOxksTFMEd+IiSEWVrGvQFJ8T1wAzcGW+tATWIs1YFrBgvOxIPNMi\n2hEZaPOtQ+cX/ucCmfxd0B3GpLb0VoUWrbGA0LsDbD1EI9SZcZA4p/59ipCr9jmNHI0H6JEJ/XfB\nPWjld8E8+OKoxj+fL4SaI9gc+63zpFpqg5vXwzW9/VdVWgI7qlVVePseGNSEz8puhz2lCpZO8ZEx\n11ywWPS/RBmaqjPNhr9nRbWhFb6vL3d5ANpMGYymRSsr8aUsiZ0NQydXu9vG7ZusCd+mVFln5qhd\nahjaB3dWyezUMBTt9HOhJixBrTmnearh2BarKQIY6uzEq9bAelRRGg68CTy9zXFjPkwEJgGvA7es\n1+WhQdLpnumH6JVbZZ3ybT48uVoTeyciQhWNFoSnomrZiY7HdEA2D6vRdF9zYjYK3+sHfDapeYPm\n2xE82jzRmlcAt/aD/gkqOb+QBS/v0G2jk+GinsGbbkYSdlV5F6dGOgprtEK+tV/dk0Q0cj2vBuLQ\ngXtBoStoN1hc3APe3wXZwGHAr03cbm+osLomqkKF/BpVRw5Kk6j59Z2aABwXgYuEqR3Vvrr3cZjz\neuMrWtHR8OzlcNlzcNYkOHliaLczGFRUw1ufw9GdVLlx94Fy4n85dS1Vvtitik8o8OEu6BYnH6r8\nGhGrK3q5dHmndlUOp/P1hyTKrHhYkjRzu5tQ0SqqlVu8szpSaXOdyD/L03F0aseG0xJCjc9zNTHc\nDdjXcd1FwCgkNzgTLXhqEBn7E9gO3LlB982MU3vTHaVWOGsufI/IFEAGahVej2s4IwYdP/4CvkOT\nh9tR+N0PNC/RWooqaQcDn05pXhlBOxqHVkwxAsOOKq0CQaX9m/vBi8N1GZggO4IrVsFNa2FVKxyD\nnZkDpwThSRUJ2FwOS0vhn5s1epwULdfqRDQxU40OptXAOcvhoMUy6WxMG2BKRxgAfAp0RAdTe4hL\ngNuqdFIMJbrGqT1zSIY8qw5JV8j1gsKGH9vciLXAy8O1qJn1W9Oeq1MKfHgz7CqEC56CzxeFZhuD\nxZosHTuucVimdItzhWuDyLV7u67CpgVCqBZtJhKNG4am9Pp2qDv80CNe93G21vdPlXg7FPi1sO4w\nyOEdRSpfyFL6xLndm59kAby6TD+P87h+NDANLcw6oHYfqOr1MPA/oDtw3hJNPZomrCiBobOh41z4\nFugNDESVsI/RZ+l5mFgI/IRI2BaUd7gOV4WrObACuBPYD/jqiHaS1VrQ5onWqV3hFx9i+CmdFP/y\n4nAFrc7KE+m6YhU8u00H00jH2nIdZFsTfihQTuL7I13b/tF+MMJx+8HUd16+eg0cN7dxr/fofrAE\n+ASRN88praZiayV0D/ME4KhkTcAtDtHJNNTYL1kHk4IQRUBNPxbeugF27oErX4BsHzE04ULfLqpm\nbHSIzO0eMTq7a1RtdGJ+YejbZE58v8f7sMtxnWG2430xjLr6sabs4tV2+GY3vJ+tvL+Xs1ThOrZz\n8w19eGJ9uSpJpxG4xUIKaiV2BO4DKoHJSyD9Oxi9EHaiKJ03UPDyMNSKA6gCbgO+dvy9AxmBDgB+\nAcYDRzmev7mGf5cDNwF9gB+nBDZF3Y7IQJvnw8VW/z5ATnSKhTvdHJ5/LYTbNkgfE2PAyV1gckZ4\nvZIaA4PWN0q/ogyu6Ak/FdVtuX03BbrN1YGsIyJeK9weV97IkfVTu8LJwCzggYGhbxVnVal1E04M\nSoTFE+DPCK26frVbJ/cTDwjt804/Fiqq1E684HCYOjq0z+8Lm3L0/7y2Q07xX+fDMW4Tc30SdHHi\n4HT4NA/ODtHE1+4akbducWrdZXg5mydE6TYn3A8DBiKHjRFHO1MY7KbsGyZnyI7lzvUStB/fAhX0\n/+ZokRSMj9WvyFvKqZ+8BEgAXkYk7HnA13DmAcDPiNx1Ra3I4YisJQENDIKGHMXAo4jo/XFE6B31\n2xFetHmiVVgLqY34Lyelu8rnVVZ4exf8d40OYGnRGrkeHIIR6r0RVlNGpp65Y8nR8N4oOH+ZHI73\noPK8c2J+aYlEwcGGhBsGfHKkPK/CUWr/PA9Wdaiv/wg1UmPC60HUFPxSqKpblzDkPSbEw7s3wZ3v\nwIptcOPJoX8NT1zuGDHbWAHVNumk/GWlxkfVDR9uKq7tIw+rv0r9i7gHJ+p+Q5LqEq3UGJGkprS0\nLYbr8f0T1L7+91ZVtpp7ui2nRnKCQHevfHTcmE79itMkRKI911sxqGqVBIzF5QD/PnAQ0JIxsm8j\nsvXrwe0kqzUiwuozocfy0qZPacVHw2W91GJ8YbiM7z7KgemONuNDm+Qj1NxYWarpvdaI+CiNrf9Z\nDIcsgh2VEuHm1sCaQ2H7IfDacNg9BeYfIMJ1BI3fYQ1DJ59wVP+W5MN/sppuRdEaYZrwzDa13XfX\nQm0Y2+0PnQ9d0+CK58Aa5rb+Ccfq5+uOKKlAhh1CvWsNSVI11h/Gp8pQ1OZWvSqokUt9qHSDpikN\n2pAkaQeXt0BV9b3tapkFio7oeOGNGxt4P45MApzqhK5ACTAUuBxNHLYUlqNq/C0DtEBtR+tDm65o\n2U0FGIe6l909Hu4Z6Pp7lSPw1ynWHpwIF3avn4EWavwvFy5qwjh9S+OPYhj3G+wDXLNGDvegg+AB\nwNuTJJQ/MB0qw2DJECoclSkPm9RWOP3ZVGyogOvX6veCWvh5FUzZL3yvd+5hMKo/nPUEPH2J/K7C\ngXvOgplfKsqlJcLaA4VhqMK7pkz5nFa74maamnu6uULyCZBnW7yhz/rsTFWGmxuFQDCpPWnALiAY\n666RwDxU7foBabiS0PGppWAD3kHVPHdpSztaF9o00ZpXIH1BuDE8GR4b7Pp7USE8sFn6iV3V2oYL\nwkC88qrr6kRaA9xNKX91DCmsB9bv1tThNLRT/hc49FfYEKIonnAiOXrv9bFxisWf+ru8rw5uhjn3\n4b3h3Rvh0mclmA+HbnJbnnJSjwuCyIV6yCJQHJ6hicA7+ssGZFr34NvrIJnFd/lQZZddx3ndVSWr\nsMmJ/dxM+Hw3nNjM4fVO1/uB/u9WB0cgM9Pzg3iMBVWxPgcORO3ClsZXSGf2+ejGfabtiAxE+Cms\nadhe1TIZgOPTdamyymRyQqqLeIHKv9My62uUgkVrNCr9o1Qrb5ABYqajFfHQZihHBoRfAPsj0vXu\nLhknRjLafP/dD5aW6P+/6jiIacajSXwsXHsiPPM53BAGzZbNLhF1drX3SKFFhfqOu2NcivIQm3sK\nuHu8Jl/f36V4psZUVrdVarrxvMy6HYBtlRp0uKQnzM7XpGO4kVctv6zNDoLltNUIht/1QjqtQPE9\nEroPBaYi0XxLw4b0YZNpmQGEdoQObZZobamA3k0kMk3FBzkSjjqJlxPLS+CpbSrBG0B6rA5wQ4MQ\n19vtodeENAd+KZAvT1YlTPgZ3hkHd/UX0QId7NajAx7AFaulU/EnRG5pRFByTLPj2M5w90Z47Xu4\n4pjmfe39B8FHv4TnuffpAfefA/e+Lx1UTrXactEOVv1xHgxI1LSyE/ulaEqxJexWju3c+IibGrvI\n1PRedTWMvxZK6zW9F3y3R5rKcGhC15Wp3ZnvMFlNjtb/MsrhtXDtGv2cQ2iNQU1gJYqw6Rvi5w4F\nFgK5wKzxLb0l7Wgq2iTRqrTpwHFVM5e4PbG4GJ4bWv/6kSm6OLG9Et7Jhh2OKIkYCxzdUa7Uvtoi\n8wpgbCvzzwLYVAnXJ8nkMx3YU6sVdN5kmJULl62WKeA+yHX5FeC+jfI7i1S09YqWv/9vlcM366V3\nm59ogRzcw4WzDxHRumGd/rbjkggclA5z99SfCDwgFc5dDu+15IiaD5RZ4cvd9Svh2dWqTObXwMQ0\nOKKj8gkHJsjq4ZNcGaaOaaS9ijvsdnl/fZvvymvsEQd/7+FbBuHMekwDViGbhUBgQS7x7mu0P9H/\nn48+z2FIxxVp9nQ2ZEPRB+1T7agPwzAOBm5GQ6KZwMmmaX7ucZ8HkLNHGjAfmG6a5ka329NRbOXx\naJf4GLjONM1yt/schazYhqNh1p+Bm0zTdIY/NYg2R7RMU6vKS3tFhr9UIPqR3h3qCh0rrBK6X7PW\n5WI+MEGrvO6OKt3X+XB3/9Bvb9hh6j3plwAr3QTunWP1mc1dDR8h5+V/IqL1fBb8o2/7xE1LwVfF\nbksFTHMYnYVy3N9ul/Fp9h45xOcWQU4h7C6GihqdQJ3btHxL6F7XEwMz5Qz/RwIUlcPjW2UcOrkj\nTMlQhJQnRiTrtuaGt/amOz7OgVoTTuqizFdfKLEqheG0btAtVgvAA1IbP7mdV62W5vpyERwDVfwe\nGqRBl0Awd5NagecCTxA40RqDWoJOJ/laFMU1ArnJG0hk/yZwbYDP2VzYgCptb49oD4r2g0RgGS5D\n/zowDONW4GrgAlynlNmGYQw1TdMZUvU+GjKdgjj5m8BLOCzbDMPoi4Y+nwDOQcEDTzteb1ygG9rm\niNY72YpzCTZ7zjThvk2qLp3XHUYkKUvshC5yRQ4WVVZVphqDhGiY1kMXJ5YWw4ztEqwawB8lqmod\n16WVZTU2cND48Cg4MxdOXabJnwcdlxnb4ckhzbB9jUBbbh0W1Mg8c0mxfKKqbfpZaYdpyps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0f4EOFfqdDg4UGayrnPIRSttkvkOmmi78d0iVWFx25Ky/XIFhjYAb7eo+t+PqD+tFmNvfXqswKB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\nLY1Go9FoNJoiQgdaGo1Go9FoNEXE/wFceJNBvFcGegAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "\n",
+ "from __future__ import (absolute_import, division, print_function, unicode_literals)\n",
+ " \n",
+ "from netCDF4 import Dataset \n",
+ "import matplotlib.pyplot as plt\n",
+ "from matplotlib.cm import get_cmap\n",
+ "from mpl_toolkits.basemap import Basemap\n",
+ "\n",
+ "from wrf import to_np, getvar, smooth2d, get_basemap, latlon_coords\n",
+ "\n",
+ "ncfile = Dataset(\"/Users/ladwig/Documents/wrf_files/wrfout_d01_2016-10-07_00_00_00\")\n",
+ "\n",
+ "# Get the sea level pressure\n",
+ "slp = getvar(ncfile, \"slp\")\n",
+ "\n",
+ "# Smooth the sea level pressure since it tends to be noisey near the mountains\n",
+ "smooth_slp = smooth2d(slp, 3)\n",
+ "\n",
+ "# Get the numpy array from the XLAT and XLONG coordinates\n",
+ "lats, lons = latlon_coords(slp)\n",
+ "\n",
+ "# The basemap method returns a Basemap object\n",
+ "bm = get_basemap(slp)\n",
+ "\n",
+ "# Create a figure that's 8x8\n",
+ "fig = plt.figure(figsize=(8,8))\n",
+ "\n",
+ "bm.drawcoastlines(linewidth=0.25)\n",
+ "bm.drawstates(linewidth=0.25)\n",
+ "bm.drawcountries(linewidth=0.25)\n",
+ "\n",
+ "# Convert the lats and lons to x and y. Make sure you convert the lats and lons to \n",
+ "# numpy arrays via to_np, or basemap crashes with an undefined RuntimeError.\n",
+ "x, y = bm(to_np(lons), to_np(lats))\n",
+ "\n",
+ "# Draw the contours and filled contours\n",
+ "bm.contour(x, y, to_np(smooth_slp), 10, colors=\"black\")\n",
+ "bm.contourf(x, y, to_np(smooth_slp), 10)\n",
+ "\n",
+ "# Add a color bar\n",
+ "plt.colorbar(shrink=.47)\n",
+ "\n",
+ "plt.title(\"Sea Level Pressure (hPa)\")\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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c3HkWvV5HnYbVCi1r2rY2l87d4M9VRxg2rsASLISgz/A2ZGXk4Ontbltlmbl4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UUqkiyKbRlEV86ha6pb+IWlZQx5hhvs01/Xqu6tdxVb+OGMMevGXV2Jk1nBEjRjBy5Eh69erl\nkp/mjh07aNu27UNR25iTk0ODBg344osvWLp0KUuXLmXYsGFoNBpWrVqFTqejU6dOgCQCEgTBVg5V\nEkaPHk316tXp378/HTt25Ouvvy728DBjxgyeeOIJWwOQ/1U8tCl1R3ClDvGRiNWE+HXi1M2J7D3b\ninYNvqN2ZfeUaOCi6EiA0HrPElp/DPkZUZz9sQOIFixm6aacs+4VbgAchKCPriIPDHMcvay3jER9\nY6KPvcKpjY1o+sRv+Ffp5Paa3YWVbJaVdL4UmMWCNAGdqGVFejjjA2472Ess1kc9QF6PaYH53DHu\n5YZ+M1cN6zmXv4SmmgnF1O7lhURchnDjxnUaNGjAkfx3eeSRnRw7dqzchLaspOjJJ59EFEXOnz9P\nixaSwMla07lx40YqVSpY1IwZM/D29uatt96y+XPu27ePWrVq2fYZOXIkFosFf39/nn76afbs2eOw\nd7AVapkvw/wOccuwg7254+juuZh0y00qyRvbxENJpuN8ppXSSknG4za7JJPoioCofM+x5SGbVvFF\nZGQkcrmcxYsXl0s0VBT5B/eTsWSR7bXPwMF4dHDtXG0bnszPhSKc1nrKwmnvorBuy1j+BRlLPkHz\nyKN0nzWI826UbjqKhIq5uQgh9g9IRVO/7pBQiy4H7eZlKJv3LbG1ZnmIrSXzHjL/quhObUHTpsB/\n15RwBXWbp1wex5FAp6JhuLAHj87PlVrTb4WnfwOSb6yx68ikUPljNhUXHVVMGl1HTPIquqZPsfss\nog27EJARoXrGThRalnPyyJEjBAUFERnpXNj1IBEaGkrXrl2dbler1Rw6dIiMjAwaN25MYmIibdq0\nAaT6+9q1nVtmDR061Pb/vn37snbtWjvB1Lx588jNzeWJJ57gkUce+VujvX8n/hERzsJwJdpZp8p4\nHmt+DIAT18dw+ubkMs1VUs1n1etyQlMro89LQRAEPAMieXRsOo16b0OQaRBk9jd8xdcfUnnbMaKP\nv0F+9p1iY1ZrPIVGvX8E4OLOHiTfXOvWmtyFOySzgTMOZAAAIABJREFUJJL/WqC0LdMSw+qMFi6P\nqRA01FUNoJvXYsDC4by30JqlrkUVle4uPE79+vXJzZUK1o4fP44gCOj1+gpPrbuD5s2bSyKLxERb\na7Snn34aQRB47733EEURpVLJK6+8wp49Uk1c9erVi9WXRkREMHfuXN544w1q1arFCy+8wHPPOS/4\nB8iz3Oe6fiPxhgPkWdIAEYsopZ6f9v3NVjIBYCSXxVpJqx1n2o9BdF74Z7GYEHjwtiDp6enMnz+f\nl156iStXrrBixQpkMpnbZNOaTnf2sGnWSl8YVf1IgmbNI+DVt5yOVdbe6FZYiaLuzEkyv1uB74ix\nDPhtIaoA33KNC6C/jdOe4WVJsxsu7sGSnohnrxdL37mMEORKzPduIg+pg6Aq5FUrml1Okct8ghGz\nH8xJX5RsiqJIWuxPpMZsw5DvoNxKkP0pErK+lBcrwaiI679FNJN2diWd0ifY1Odm0cAF3VcEyOsR\nrurrkGxqtVqSk5Mdpv6NRiM///wz3333HWvXrmX9+vWYzWY6duxY7vVWFFxNdfv7+5OQkGDnPBIe\nHk5QUJBLXYnCwsLYvn07x44ds3vfy8uLd999l7fecn7N+G/HPyrCWRilRTuDfNsysH0SPx6vwq2k\nr7ir3c2TbW+7/WRbUgcIURSIOTkDucITlUcIVRtOJKBadzo8m0x+1m1MujRS72zn7pXPSb65huSb\nkvl74qVPafnUyWJF4kE1+tHyqdOc3dqa6weeQx59i6a15zhV1z9IOGtlKAgCrwVaWKiVkWI+z4bM\nzjzjdwiADFMMnrKSUykeskCqKTqSaDqKXLCP/haOPlZEet3T0xNRFKmkkERPGo2m1CdXV1Demp2q\nVauSmJhITk4OVapUIScnh1mzZjFr1iyeffZZvv76a7p27UpSUhJyubzU73Bp2+enwlC/S2RablNT\n1ZNd2dLTeaYlFrNooIayOy8ESC1Nss2JHM57i6uGNbbjrZHPqooO9PD6nMqKlrZt2ZZEPGSVbPO4\n+zdz9wEgJSWF/fv3k5+fT+fOnUlISGDixIm0a9eON998073BKPnhKnXOu2RvkD6HSnMXoo5s5Pb4\nVhSOZjpTqgOYtWkkvzgOdURD/KdM4+RtPzs7JnfnskIZ3prcfZ/jM6B4OUZZoDu1BVlQTZThbSpk\nPEeQ+VSylR+VFZb8LPiLxZmixYIly/6BwJwaS9K13wmqNQCF0pfkm2uoXG8UcmWB6ZZf6KNkJh/F\nv0pxI/uKDDRc0a+lkXo0SkEi7dnmBG4Zt9NIPQaVULAek6jnrukoa9YkSjqGgADUajUpKSl2UWKT\nyYRMJuOxxx57KFLnFYUaNWrYZaK0Wi2VKlWidevWHD58GI3GsdZCEASmTp1qK2sq3I64Zs2apKam\nkpiYSLVqFePk8U/CP5ZwQumkU6MK4elOejYeVpOnj+OHwwoGd8xBIfdweowzODrhdcYEelRdw90G\nZvIyo0m49CkmQxaCTEGlmgMICOuBf9XOKD2CuR+9ibz0S7Zjz25tS42W71Cp1kC8g5rZ3vcOakq7\nEbGcWFeTq/Fzycy7TCe2FZvbGcojBirrmBLpNLNQKyfBdJitWU/wlO9Oogwb7DoAOcPj3utZldmM\nLVl9Sci8AHhXCMF0JkBKNV2mvec7nMifS3h4ODt27ODJJ58s8zzXr18nLCysHCuV4O3tTatWrTh4\n8CC1a9cmJiaGVatWsWrVKtq3b8/evXtLrRN1FTWU3XnG9zAyQc7mzN5gARkK8iwptrQ6gI+8Gv18\nVtOP1Yiihcv67/gtdwomdNw1/cGazAK1bzfPTwiSN2bsZ1UZN879NblLNq9du8YPP/xAzZo10Wg0\nxMTEsHv3bhYvXkxkZGSxjk2u4m4Dc7EIn2g0kr1hDaoGDQle+AWq2nWcHF0ARz6arsCsTSPv4G8Y\nbl4n78BvgEjwgi+Q+/qVOlZJPdQLp+41rQYiqLzIXDkerxGfoNC4rsottt77dzBc3IP30HllHqPM\nc2fcQ+Zb/PMw3b+DIriW3XuixYKoy6bhZWn/ihJLFYbhxlHMydGo2wy2zRn0w07kSm8CI1+wkbTQ\nBs9x7/q3VG1Y0M5Y41OTjKSDUIhw+ifJKqxVpfU6LiC3q9lMM1+juqKrjWzqLZncMGxGKXiz7FpH\nwsLKLgD7b4A1E/XLL7/Qu3dvTp8+jYeHBzVq1ODKlSsOFe1dunShS5cufPHFFzRp0gRvb28OHz5M\namoqq1evZsOGDYwYUbHuLP8E/ONS6kVRGhmSCQqe6Wymkq9kR7P5qDc5ujvlnjct+xSB3pJQqOp1\nOZ5+dQhvN4/6nZZSp90C8rNvc+PwZG4cnoyAQNPHfyGgel+8KxWIi+LOfsDZrW3ISDqE2VRQG6f2\nrMLgjpK6MTFtB9uP1yj3essDV/w7BUHGq4GSOOO2cRc7s4eRbYknWFF6FMhXXoMRfifItdzl1Vdf\nxWKxFOtrXhHm8NYxXq8k9YnfvXs3AP3792f6dNfabjrCgQMHbHZH5YXVPPnjjz9GFEUWLZLqBY8f\nP46fnx+BgYHExcWVe575qbAwTbqRWZAi6GGKTnZkszgEGqifZkqglulBIkN8fsVDKHBq+D3vFTZn\nP8b48eMZMGAA0dHRbq3HXURGRjJr1izGjh3LsGHDeOaZZ+jduzfnzp3jzp077g9YBIWjjYZoScwX\n+MY7LpFNKxx1EyqJFIqiSMLjXUl993Wy1n6LukkzQr9agyLYtd70JSnXrfNa214GvtCaSh+8Qs76\n19CfehuP1sm2bUV/SkL+oW/BYkbT4cHfQAWZfRratqZ9X9i1MI44qaHy1oM0NLom4ikrLNoEPDqN\nRu4vORZY0hMxGTIJqtHPLvMgk6sICOuJNn6v3fEymZLQaxZb2ZZK4Y/B6L6xf1FY75NZ5ni8i4j6\naqkeI9F0FIMlh5v6bdw2/kxDtdRBqCIepP/p0Gq1zJ8/n6VLl/L888/b6kDj4uLw8fFxmCIXRZGY\nmBi6dOnCr7/+ynfffSeV3nl6snbtWmrU+Hvv6X8X/vGEE1yL6vVsfpBGNSQD6J0n65Ck/aWUI0qG\nl7oW6bkFKvjCEVCZQkXVyPHU77SU+p2WElCjN/Hn5iJTeKLPS0KmtH8iurizJ1Fb+tpZHSnkXgzt\nJBG4fEMiGw7JsYimcq25LLCSzaL/OoJMUPBKoCRsiTJsIL6QDVFpCJTXp5vXYlasWMF3331nt21+\nasGPKyhtP+v2Pn362MjbwoULCQ8PL1Mf3KtXr9p8NcuLb775hmPHjtnMkV955RVEUWT79u2AVKtY\ns2ZNBEHg1KlT5Z5vfio86ikp92NMu1mb0Z51mY/wc/YozGKBnZBJ1LMj5198pvVhsdaTXdkjOKf7\ngnxRqkV7+eWXeeqpAuHGjh07qFu3LgvSBD7T+nJFv8ZhW9OKRnh4OAcPHnTL1sQK6wNJseim2Uzq\nW68ir1INddOWDo6sOOQe8sSSJT1s+k96mZCPFqNuWtwQ3LZ/CeTVlf1VoVWo9vU8vPs+Sdrst9Eu\nno/FgY2UM9IpiiK64z+geWQ4Pt0rzg3AVch8Q4qlrwH8k+3vCaIoYsgvsBj6K6KbABQtZxFkePjW\ndbirh28dDPnS2q3X/Qb5PUnOKGiB6ufZmMy8K24vw6p1KKp5SDIdp6qi+LUqWN6M33JfoqryESLV\nw1iUVrHizX8S8vLyWL58OZMmTWLSpEl88MEH9OjRg2HDhvH444/z+++/I4oi7733HiAJggRB4Msv\nv7SNcfbsWWbOnMmtW7dsItG4uDiaNWvGs88+a1PDPywICXHtgba8+K8gnOAa6WxS6z90bix5Fh68\n3JcrcR+WeT6NKhhZEUW1szobn6Dm1OmwkEY9v6fd0GuENXkd/2qPofSogkZZBZU8hLSsY/xxbQQ6\nQ8HFUxBkPNPZjK+HZPmx8bAaoym7zGt2F4XJpauKdrmgYlqgpNLXWq7xe+4rLnc4aqaZQKdOnXjn\nnXcY+duFMq5agiPSWfg96/+rV69uU3/HxMQgk8nsjNRdgcViQamsmAu0j4+PQ/Lav39/RFHkzJmC\nvstt27ZFEAR+/rlsnaqsqKpsxyjfczRWPY9ZzMdbVo2rhrVszurDwdw3+SXnBVZlNCGWXXz44Ye8\n//77xCp+5JbxR9sYixcvZuvWrSiVSqKjo9m6datN4WkQs9mdM5qFWjkL0gT25oyzkU93HiRcQbVq\n1ZDJZCQlJXH06NEyj1OYYOUfO4LhxjWC53yMzEV1qbuCIWsk0bNVCqqGkt2PpnW7Uo6SUNgH0koo\nTUnXnT48OSKpqvoRBL+/QCKeH88hd69rhF13+DssGXdRtxlk+z3KAtFkxJR8q0zHUUSkZrFYyGkR\nYSd+MhuzUKgqtle0KeEKYqH6bYsup1ir40p7TjisyQTpflErqxmeZwoIpYcqFJ2xwFPUU12dXL3r\nGY2SRLU6Szp5llRuGrZyTb+eG/ot3DUe46JuBQJSpNNL5oKX7APE6dOnK9TWzBF0Oh2rVq2yEcy3\n3nqLunXrsmTJEpYtW8bChQtp2bIlgwYNsrXEBJg5cyatWrWyRSsnTZqEIAisXLmSa9eusXr1anQ6\nHd988w2DBg1i+PDhhIY+XJ+v9RrxoEzr/2sIp6uoGtiPx9tIxbyX7rxb8eOXUtwtU2io1eotmvbb\nRbtht+jSZDehgT0BOXH3N3D02nAsFvtIZr82V6gZInUxuRDz8CvcFIKGIT7SiXlG96nLdaXzUyVb\noCpVqtC1a1dijcU9ywpHO12NZFpR2DezMFQqFaIo0q2b1GGjLK0QHxRatmyJKIrEx8fbCvQff7x8\nacL5qbA6szl9fL7m2YALDPDZTDP1JBJNRzil+5iL+hX0GtKSo0ePMmPGDN555x3WrJHEMwqFgjVr\n1vD222/Tp08fjEYjHTt2ZPXq1Zw8eZLpQSJTAzJpoynwWr2kX8nBPPcFPa6gevXqLFu2jMcff9xp\nUb8jWL8XRcWB5nQtyROfBUDT9pGih7kN0z1pTY5S1aLJxL3Jz2GKj6PTloV4tClb1Dx39ydoZ7Yh\nd8t/3D5WVT+C4HfnYIyPJX3Z4hL3teSmk7PlP2jaP4O6SW+H5ueu4v6kILTvuh89Nlz+BXXT3nbv\nyWQyPLoWuDREtdWhUPlhMmbZXpcHoiiS+nZTtO89Qt7P8ws2GPWYU2Kw5EmtZo1xF7nX1Ifr7YsT\nJut9IsC7Bek55+y2FXZ5cEXk6iiSWXS927MH80V6IL/lTSZSPZxI9XDCVY/jIQumsfo5qijbkWaO\n4ppuA6N/v+RwnAcFo9HI2LFjEQSBNm3aOG1iUVYUJZivv/46wcHBNoK5ePFiunfvXszOT6VS2dp2\nWjFhwgRq167NlClTCAyU7MDGjRuHwWBAEATOnDlD9+7dS22N+XfBSuYrqiSsNPyjRUNF4Wq/cB+P\nujzdSY/eULw7hXUcK8rSf7ww6XRmryL5fEJ+q4b4aRvilV2DXF0MFoues9EvYxHNKOQe1AweTpBv\nGx6JWEOz2h/ioXLP9LmsKGwMX5bPINa4l4n+dxEpSMWXRjxfrwTzU0P5/fff6d+/P5sO9WTChPGM\nGjWKjh07FrsAgD2pLG+d5/79+4mPj/9HqAfDwsK4d+8eOTk5ZGe7FvWWPt/S95MEW0vp6bUEADN6\nPtlgT96eeuopzp8/j1KppGHDhgAsX76cPXv2sHDhQmJjYxk5ciSfRn3KRxGV6OL1EV28PgIg1XSV\nldoI3Owm6DI8PDzo3t19oYOj77n24/fhzyiAIHddvFGaSKhwPaUVunOn0Z85SdfdS6jctQ0JDmxt\nnbW9tMJ4+xS5WyWi6fXkDJfXWxT+4yaTu38f999+laBZ85AV8XU13j5F9pppIAh4DSrfA1r+4VUA\nbpu3i6KIJUeLzNt54wkrotrq0HsGkFY9FjllV1KLhnzuTyk43rPPq7b/y3yC8Og2Hv3FPYh5GQie\n/mhaDShxPEEQEGRKzBYDcpkKs0WPTKYudR2uPsRf069nV05Bbe3TvgUP8QpBQ4C8IN2//MRgZs+e\nzZEj6TRp0sSl8SsSKSkpdO3alWvXrtneGz58eLnq6wsjIyODSZMmoVQq6dOnD0uWLHF4TykNFovF\ndlxAQABffvkl9erVIyoqijlz5nD8+HGbLd28efMq1Ae4oqFSqbhz584Dqyl9eD+JvxgyQYGHunTy\nVlL/cVEsxRj+T1hN5ItGP21PuZWfRaMM4dTNCaRlH8MiGtAog3kk8ntu31tJ9L2VAGhUlakTOg4v\nTfVicxRea0WjLOPqxUy85QVhenfG8PPzY9++fXz22WcsWrSIFStWEB4ezpAhQ3jxxRepWrWq0wuF\nVd1eVpV79eqOP1tnsFqC/F3w9vYuse9vUWupklB0uzW68kmq40hhs2bN7F6Hh4cDMHv2bGJjY9Hp\ndGxav4NJAck2CxaAbzMalryQhwTGuwnk7pOEZbho4F2aKl0R6rhdJkAdzR3uAZrKpRMoKJ4at+Rl\nkv6h1EAgcNZxBHXx9L/VbL4kKybb+90fQ9UggvuvT0XTbR6KEOmYvANfk7PuVeQh4fi/sh15YNmF\nJaIokr16qrTmfx9y61jT7VMo67oeBVZFdkN/agvy9kNL39kBzPdjSHtb+s4r67QjYMa+YvsISnUx\nkllaq+JQ/8dITt+H0ZzNsagRdG9akLatctlEqj6bsPvuXWMyzLf5OqNA3NZK8yrdvBY63V8695vw\nySef0K9fPwYOHGiXZrVeCywWS4Wb5p86dYq2bdvavffZZ58xderUCp3Hz8+PpUuXlmuMJk2acOjQ\nIZtw6KmnnmLLli1ERERQvXp1Lly4QIcOHWz7P8xk04qaNWs+sLn+61LqfyXpKjx2WvYp/L2blXCE\nBCupLCnV7qGuSp0qz/NEG0kJm55zhqT0PWTlXSUi7BXa1v+StvW/JLzyGKLvLefkjYmcvDGRqPiF\n6A1l6xlfEsrb9rIioFKpmD59OvHx8fz88890796dxYsXU716dbp3705MTPF2oVbCVBKxqmij95Mn\nTxIR8XC11XMGdwi4u0ItwHahvX79OjqdjlGjRmEQs7moW2435sMEa5mF1ezdmm4VjUaShg1E+NNa\nyXf4aJfGc6RKdwWW/HzSz0ulPuff+ARLodSdlcQW7rPuqG936svSw5LPqMUoqjkn9UXT+SWlwQ2x\nTfH813rydi0ga9VU0ma2IWfdq3h0eZ7AOWdR1nQuaHIFWd9MAMCjxyQEpeslEACChy+iwZXOVxLM\nKbeRh4S7NYcV+kt7bWTTq//bDsmmq3AUePC8k0blRKn+c//F7qgvXCHsioxL+m9oqHa9U55ZNLI2\no62NbHoJobwUmFMi2fz4vkhWVhaxsbH89NNPjBkzpphpeefOUh2qtUFFReDbb79FEAQ7snngwAFE\nUaxwsglSMOHKFfcFWIUxcuRIm4ATQC6XYzZLgaeZM2faPID/H45R4Yxi2v6H76biLkpKIVuJZ2bu\nZfy9Kjbt4O0RjlIuXfwFQcXNxM8xmrIKba9N01pzbAQ02L8rV+PncurGJE7dmMT5/GUYLO4JXhzB\nlW5OJcFkMSCUMXhelBTJ5XL69u3LihUruHz5MkuXLuXWrVu0b9+eu3fvujRmWciTqzh8+HCxzj//\nq/D09KRu3YIU3enTp6mrHMDvedN4fPMB3nrrLTp06MDcuXPLbZZfkXB0vluyMjGn3kdQSyTI9xnX\nCGepcNJLPWfnj1yd9w0A9349wd6p3zodwlH9p3amZLematgdj85jXVpKUdLp6AdAplAgGvLQHVmF\niIDvuJV4j1iEUM7IviU/C/3xHwDweeYjt4+Xh9TBnFy69VbESQ33X66BdmZrZEHupw5ztr9P5meS\nn7Dfy1vcKlUoLbppMGWyND2YPbljqSxvTTP1JABWZTblSO5Maiv7oBJc80g9nb+IT7Qq7pkl94pR\nfmeZFJhkZ+ZuRYrpApd1q2j26Vo2bNjAoUOHuHPnDnq9nl69ehUT6hw8eBCAe/fuMWjQoIL1Gwxc\nvHjRpfWBlBGaOHEigiDY0s7Vq1cnPj4eURT/0mvpiBEj+OGHH8o1hq+vLzrdnw+losiqVavIz5dE\nsuVtIPK/gL8shPV3RjP+6shcniWVqknBf8k8fVqdwVtTF1E0EHt/A7tOR5KnT3S4b5BPK1rUWUCb\n+ssYZPyKIHkjjuS9wy85E9mXM4kL+csxWFyPAFjhjHC7WssZY9xNmLLii5Dr1KnDpEmTOHfuHFlZ\nWXz//fcl7v8gvoNxcXG2GsaHDc6M70s7pjy1sD169KBVK8kMPiEhgRfnS0Ksbt26MW/ePI4dO8a7\n777L5MllazdbkSj8e8bWvE/2/dMYo0+gO72N++9KdWPmJOncU9as9dcupohllCCXHthy/wiwRUyd\neWLm7vgQ8z0pO+L/yo/FtpeE0lTluuMbyPp2EvrTW1HWfxSfIR9giD1fIWnVtHekVri+E1eX6XhB\noQSzcwWz1X8TICBIir6nTa9H9g/2hDFlvC8p430dquS1c7uRt/NjAILmXkTd+LEyrdUKa3Tz1M1J\nRMUvJPx6AIGyBgB8lRFGqKI1T/v+DsBx3RzijPudjmVFsukcC9IEDuS9BkAXzwVMDxKprLBvNZxt\nTuSqfi1X9KsBkZ+zRzNy5EiGDRtGu3btuHjxIs8//zwnTpywI5VWWCN5P/74I7NnzwZg1KhRNGvW\njI8//rjENaalpdGiRQuUSiVfffUVAIMHDyY/P5+4uLgH4vdZo0YNUlMr5oZgMBhYunQpPXv2LFO9\n+P8q/vKc6d9FPMtLBksiV3eMe6it7Fsh8xSFTFAREfYK9aq8DIDekMpFF9X01VWd6e69mF7eX9LD\ncwnxpgMcyHuVfTmT2JfjWgS08O/t6DNIaGQplXjGG/dTR9nfpTWXBcHBwbRu3Zq33nqLjRs3/mXz\nuIq/s4azolHe81Uul/PHH3+wePFi1q1bh0qlsnnOPfHEE+Tk5PDZZ5/x1VdfceFC+ayvKgI39dvY\ncEjOsTWhnPuxA+nzHiPrq2fRHf+DkE+WPbB1ZK37zvZ/Qa3Gs1tPl44z3DxG7k+SvVvwUsciyMJw\nVUUu6nPJ/mEGWSsnoPtjHarGj+E9dB7qJo8h96+C/opjIuSKUTyAKfEaYrbk4appNdClNRVbYylR\ncn3uXQ6tUHHj8CQa9/kRvxela0X+r0slgpkklTCo/iSR2ndbkrFkOKIoIpoM0j4xkg1Z8JJk5EU6\nF5WGkqKb0UnLOR/zBj9mDeS5gCjqqSQP2725z5NlvkNPz6W210fyHF//DWIuS7WhrMmU1P2hira8\nEmigjcdrdvslGU9wRb8arfkaEapnaKQezaqM5raHhvPnz7N7926mTJlCTEwMERERqFTF238Wtoz7\nz3/+w+bNm1mxYgUAb775Jjt27Ch2zPnz0sNJpUqVOH9e8q2eP38+FouFTZs2ueQkcfr0aTs7ovKg\nLD7LVkRFRaHVaomLi2PWrFmMGTOGatWqUatWrQpZ2/8CHlhFa0V2jHEVZVVYlwSLaEbEgryQB2dJ\nwiJ3oVaFEOTbnuuJkiWJiIk7yavxUFUlyKcNJnMOIiI1Q4YjE5zXhcpkMlSCL728JTNai8VCoukI\nR/LewYxk7Owvr0tD9Si8ZMVNX10xencGM0aUsrK1FXQVy5YtY+zYsYwdO5Z+/fqVKJz5f7gGV1Xs\nJUEmk6FSqXjppZcA0Ov1PPfccxw/fpxHH30UuVzOuHHjWLBgAdOnT2fv3r1/G2G/bfiZ7TkFZvX+\nr+9G1OfiOyAMeWAgolGqo1RUL3tRfVEvzjN+ebQq9N7J25URDXqMMdEEzfwAn0FDQKFEkMlsivT8\n40cwXLuC77PjbWns3D8CsORqyfhYsgQKnHPGpRrIomTQEQE1xp4n5/vXMUafwPPJGXj2mIjMK9C2\n3aPnZHI3v4u6UdkjO9pZUp1b4OzTZR7DnHwTeRUpOhhxUmOrv80/9B3qR0ej1Ejiq3tRK7kXtZLA\n//yBz/MryD/0HaabR9HObIOqUQ/8Xt6KKe4C6e93xnB+J/cnFLR9lIfWJ2iO+2t0RDYL124O7pjN\n5qM+3DJu5+v0uowLuMWOzKHcMG1kT+5YxvpdZVJAEsvSq3A8/wO05uv099lkO/733Nc4o1tkez3O\nPxp/efH61AxzDDliEo3UBSUhhc/xnTt34uHhwejRo8nJyeHYsWO88MILxcaxwsvLi7i4OGrUqMGQ\nIUM4ffo0t2/fJjw8nAEDBnDhwgWaNm3K+vXri7Vu/PXXX+nRo0eJn5vFYuHAgQP89NNPttR1vXr1\nSEhIIC8vjyeeeKLE40uDSqUiLy8PTxf9dK24d+8eW7dupW7dumzevBm1Wv1fFWh4UHjgEqqK6JHt\nDspDOh1Z+cQa91FT6Tz6UF6SKxPkBHg359GGW7ie8Cn1qk7iStz7XIu371N8V7uL5rU/xkvjvCap\nsJ+bTCajuqoz1VUFJsT3jKc5lb8AoyjZ6njIggnMG4avZ4Myr78i4ArxSUlJYfTo0UyfPp0pU6aw\natWqv2VN5XliLus6wB17I9f3/yugVksWL4VrszQaDXPmzGH06NFcv36dyMjIB7omURTZvXs3W7Ml\n/9LK9cdgeGokyjqSeEERKpGy7G3SDd53+LNlnqtwP3VHaBueTOqxi9wxm0mb/Q452zYR8vlyFMFS\nGj33jwBSxks3bu2CuciCKlHlm+8RxbakTqsFgM/YZTSOa0JUqHN/SVcN2XWntpK1fAwA3sMX4tlt\nfLF9ZDIZotk1hw7Hc2yRxgmohqJK/TKPY0q4jLpFfxvZtJK8s3vWkrrmJXIHHqPTOD1X9g5CG/8z\n2vc6oKjTDo8uz6McvgDte49guPIb9yf40fTxfTQZb+Dkhgh02ZIflUfPKfgMda85iLOoZlGhkELu\nyauBJhZpFWRYolmQJjDK9wyVjI34I/8/fJuzYntwAAAgAElEQVTZkKG+B3gpMIfPtN7cMGzmm4xI\nenh9waasgvvP497riFQPd/z5iHpijLtpoSkoX7FeB4xGI6tWraJz587Ur1+ftLQ01q9fz8SJE0v9\nHatXr87x48dp3749rVu3JiEhgcOHD9OpU6dizhUhISGcOHHCaRTQYDDw448/cvDgQZsCvlmzZsyZ\nM6dYEGH27Nns3r0bjUbDwoXORVAloXfv3mzatIlnn3XtnI6KiuLo0aOEhoby5ptvInfDGu3/URx/\ni2b/QZPOikKO5S75YhreMsdKvaLdeMpDPBvdaUwjvoY4CGi0hZSMgwiCHF/PSK7FzycqYT7x9zfT\nqMa/aVjjTRIaaWxkN+yKjPumy/jKSo7MhCpbE6os6O2eaYrl2P3v0BnuASCTqaga2I8Qvx52T3Ml\nlRHkW7QoHRSpu4vSSGf37t3p3r07giAwdepUpk2bRosWLZwf4Obc4LgzUWHk5OS4ZS5eESiaKXCV\nSLpC4stLSnNyclzuuGS1UEpOTn7ghDM+Pt5mlh/e7iPCmr5CVJ3iZC1rvfQQ4z1wcLnmsyOdFpG2\n6njpfX11cu4kcuXDr5EFBGJJ16K/dJ74rhLxDXx7Fr7Dx1Dr4m0yli0mY9liLGmpJA4oqCNUNX8c\njw4j4KTz+Usim1abJP3lX8ndOgtT/EVUDbvjPWw+itB6To8TLMXb7BadJ//Qtxiu/IZH94ko63dE\nEAREUSRruSRqCpxdztasZhORZ32Kve1ftQs5909y7sdH8K7UkhYDjnKl5hW0M1tjij5BdvQJNN3G\nE/xVOjnfTyf/wEou7rKvzfQesQjPruPcWk5pAqHCCLsiAwGmB4ks01YlV0xiTVYrxvhdpqqiPZuz\ne/NDVlf6ea+1EVOtOcpGNuup/kV/703oxUwSjEewYEIUTVgo+LlnOkmy6Qxppiv4yWuz8uIgoA7J\nycls3LiRMWPG4OPjY3MCmTJlistRu3bt2vH9998zbNgwwsLCinVHe/LJJ9mwYUOxSGJKSgpr167l\n1q1biKKIQqGga9euLF68uFQLIWtDjlmzZnH+/HmaN3ffIaFPnz5MnTrVIeGMiYmhSpUqZGZmcuDA\nAfLz86lXrx7PPfccN27c+H+yWQH420yiHiTprIjUulHM46ZhG83Vrosd3Jm3KIkrelyIvxQh0hnu\nE5Vg7W4hciVuNiH+XfDS1CImohJKpKfCq/o1tC5Sy1MasptVpzH/tr02mnKIv7+Rs6lTba0I/b2a\nEGQZTloTf4fE84Z+M+F/1reWF66QpGHDhjF16lQuXrxYYYTTVRw+fJiWLf/a3toViaKfZ0Wk0Avj\nzp07hIaGukSG27VrR7NmzRgzZgy//vqrnbr9r8ZnLaqjkHtjMucQENbTaecZ460bAMh9/RxudweF\nSWdeeg77jmaQcnA7UYu/B7MZn9Gf4/HoKIzRJ0if3xfMJrRzZ6GdOwt5SDh+L28lZMUcTCnRaN8p\n+J77TylZOFcSRFHElBiP8coSsr5cgjw4HHWrQfiM+QKZpjiRAynlSa4Wc64Wky4HhcbbKaHNXvNn\nHfrZ4rV9mg4jkGkqrgwm4qSGQytUePpH0mLQKQy5iaTcWk9O6lkOr/TA78UfCFmRRfamd8j/5XN0\nv69Af3oblT66iufjb5D2ekFWp/WQi8R1rVVhaysNkwLvsjmrD3eMe/kuszGTA+7zrN8FVmU24+ec\nkfzMSLv9JwdItbpX9KtQCT6EKtoiF5QIKJChQCbIEVAQrnwcGXIWpBVcp8+cOcO1a9d48cUXEQSB\nqKgoTp06xYQJE9wWgj3zzDNcvXrVZnYO8O9//5v33nvPNtaJEyfYsmWLrTmFj48PQ4YM4dVXX3U6\nbml49913mTBhAt98843bx8pkMocOGaIosn37dpRKJXXr1mXAgAG2YMLZs2c5ePAgDRr8vZm//wb8\nra6kf0ddZ1kgiiKXdCtpqnHvpCzNXqnwfq4SU7UyiBrBzxB3f4M0TtAgTOYsdp6sg69HBH1bXwbA\nIGY5rM10BVairFR4E17lOcKR7CssFguyiyc4YfiQ9BtZnFKCQu5N86wBVFM8ikwmI8V8niZq9yID\n5YFGo0Gj0XDnzp0HNqcVR48eZdKkSQ9krsIkrjxp8r+SdN65c4dq1arxhgvjKRQKNmzYQGRkJLt2\n7eLll1+umEW4CJUiCN+w7nj4RwBlTw8XRkldgKxkUwQW9fyQ9HNRyJQK/BuFk3HhBtmrppC9agqV\n3l9A7YvRtK6eyIV3PufG599jTrmN9h0pmqMqpJKude4mgkqaLwrHYqDC67Hk5WFOT8Ocmooh6jKZ\na1dhun0TZDIUtcKRV2uJTKEmd+t7tu5KCIL9/wFB5YmgUCMzbMOUmELM+PcA0LTviN/I5/DoLDkT\nhKzIwpR4lbz9X6E7ZG/z5DOmfAbcoj6PsFhfKOJEk5dxjaPfelOj5Uw6jzcQc2om8efnkfnFUAS1\nF5UWRuPVexqpr9VBzE7l/mT7a2SlT2OJ83K/PWdJ0c3S2h0DDPbdw46swdwwbmFpejDj/G/RxXMB\nB/MKuuwM9tlLLVUvhv1ylhs3brB48EiXjcUzMjLYvn07tWrVYuRIicCeOXOG2NhYRo1y3eezKGbP\nnk2NGjVsUc4ffviBKVOm2EqNIiIieOONN6hUqeJu8gqFguDgYG7evEm9es6j8M4QHBzM/v37bepy\nrVbL8ePHGThwYLHU/+XLl/nggw/Kbaf0/5DwUNjgP4hoZ3minFf0q2mgHopCKL3lWNE5KxqCIKN9\ng+9QyL24fW8lCWnbSEjbBkBWfhSiaCKhkYB4QnSpnaQ7kMlkhCk7EqbsSEJ96bPUG7TcSt3Imdzv\nEUULeaZLnNF/QoRqKD7y8ltdlEaI4uPj0el0aLUVb4Bf2tzp6ekPrA2mo3OktPU5O6f+qnMtMTGR\nRo0aubx/REQEVapU4ffff6dv377Ur1+2ej537Z8yLTHk6WPJi43lbMLbeDOn2D6mJMnjtSL6p1uR\ndSOWuMPXMF6Lwm/SSzzZVYFMENi+N4/MlZIiPvXd6aS+O52k0CCq9e9KvclD8UqL5+L2M1h0egyX\nJcNxrycGkvbR7ILB//T3NN1TFxBEIH+/JBBEtCCo1Mh8fRHUatK//BxBpSJg+tt4dO6OsnYdZH8K\nlVyBRZ+H7vdp+Ax+xvae7vhRdMeP2u3n0f0FPHtNxXfUYtLebYk5+RY+Y5aV21Yp4nwAKcYcW3Q6\n4qSGzuMNxJ6dS+yZWcSdnU3c2Tl0eDaV/GdfIPWV2oj6XO6/GIr38AUEL0sla8Xz6M9KJt6CdyCV\nFsWUaV3upNLB/r5gEc1c0n+NTsygoXoUoco2HMqbwdcZBRH/Xr16sXfvXgDu3r3LgQNRDB/uuG6z\nMERR5PTp01y+fBl/f3+GDh1qi9odPHiQ69evM2HCBLfWblu3xcJvv/3G7t27yc/P58yZM+zbt48n\nn3yS8ePH/+WCmv/85z+MGDGCZs2aMW7cOLdslaZPn87o0aPp3r07v/76K6mpqYSFhRUjm1FRUcye\nPduldP//wzU8NJ/iw1rXebLKLmrHtypztNAVuEuGZTIlbesvJ7L66+w6FUF46DiStLvJNySy7Vhl\n6lSZiCmwoI60Ikln0XWqVYHUq1pQaB5mlJFsOst5/TJ0Fim6IiBQRdGOOqqBaGS+FbYWwJaquXlT\n8iHMysrCYrHg7+/v9lhFI4cP2/fRlU5K8PetOykpib59HZdTOFvTR598xNixY9mxYwcNGjRg9uzZ\nDBkypMR5SmtdajAYUCqVTslDVpMw5Md9MIt6VE16222zRgSzflgLuC4YcoWonZwwG9O9e8hC6qK/\ncI61yw4DEPH6s3is/B5RJiDfupS7Px1Cdy+N6OWSuKb5vJcZ/M0iNnpJdXKB099G0WCGy0KgwhAN\netI+fh/0esJ2/IoitErpBxWBdV5zQgNyftpG7SuxgNQKNHv9ajLXfgtGiejm7/+K/P1f2R3v0dFe\nvewuIk5qsOohRVG0+zvXbPk21RpN5o/VIYDIH6uC8M6bS8iKLPKPrCF71RRy1k8nZ31B5FBZ/1EC\nXv/ZNrazEgunaykBRaObRa/FqeZLVFU8gsmi57pxIyfzPmbnzob079+fSpUqERMTYyee2b59e6nC\nnqysLBsRbNOmDWPH2jcC2L17Nz4+Ppw7d86VXxGAK1eusGnTJpKTk22fd6tWrZg1axa+vhV7TXcF\nnp6ebNu2jejoaJYuXcrhw4f517/+xcSJE0usq9fpdIwdO5YVK1awdu1aGjVqRM+eBSKsuLg4jhw5\ngtlsxmKx0LBhQ4KDgx/Er/Q/AaGiVLaCILQEzpw5c6ZcdW1/9c3S3Sjn7Xvf0jnt+b9oNQUoa/TV\nesHdebI+OTr7rhsRYdOJSlhAA9XTPOnjXkqgLOtxRmwtFhOxpn3cMe7DJEoXcxkKwpSdqaN8AoXM\ntQiBI6K1e/dupg34jhvGjbz88sssXryYxx57jF9++cXt9YN91LC0COKUKVNYsmRJmeb5q1AR548r\nUdOihG9+KkydOpXFixcXi26UtKb5qVKkeNWqVcyYMQO9Xs/777/Pm2++6TCq4Gwsi2gmw3KLqi+u\n5f3336dhw4Z069aNBg0aEBISwlNPPWUTNHWZYORM8ixyd8xF3XYwXv3fRlFZiihZydSdto0Qc3Oo\ndSEaoZToRlGy6YgIWvQ6Yts2Rlm9Bj6j1+DVRU58d/sWeJrW7QhZtBR5UCXqpP7G/l4TsegNdvvU\neLoXusc2O53HkSLeahyvv3yR5JcnYL6XRNA7s4uRaVejm9Z5YxrZixK9nhyE36jnMWVKThiiKGK8\n9jt5vy7DcEmK0Pm/+QsqN/qfO4KV5OVqL2OxGPGp5Lh2O/nmOq4fKCBbQfOvI/MKsEuj+4xZRgvl\n826RzMJrKAmOUulFr5HxxkOo8SfZdBoRkWdXeBAUFETv3r2LHXv+/HksFovD+2vhaKavry99+/Z1\naP2zadMm6tWrR/PmzZk0aRLLlhX3mo2JiWHTpk3cuXPHdn+pUaMGQ4cOfSi76Xz88cd06NABuVzO\n2rVrMZvNBAYGMnny5GKRz3nz5hEYGIjRaOSpp56y9Yvfv38/iYmJ1KhRg44dO9quPbt370YURfr1\n6+d0/vz8fMaMGcM333yDl1f5BbMPGsnJyXTq1Il9+/aVua/62bNnrQ0/WomieNbZfg9NhNOKvzrS\n6U400WjKplpSCBT3wK1wVLsssE01nma156JWuv4BWJ82W4Qv4I+o4Zgt+bZtUQkLALhu2EhH82wC\nZPUQnLTWK4yK9i6VyRTUVvWltqog+mWy6Ig27uRQ3puYkbqFyFFSTdmJ2sp+qGSu+aRVr16dOqrH\nyRETWbxY8i7dt28fAfL6jAu44VZ9YkWLaP6pcPQ5OErnF31tGWpxi2wWbA9gfuo0XnrpJV577TXe\nffddvv/+e/bv309ISOmZBZ0lnc1ZvblnPoXwgcATTzyBt7c3mzZtIiVFElg0atSIuXPnsm5BX4gA\nTftnyN0xF/3JzRijT2NJu+Nw7NLIpiM4quU03rwBJiOarq+T8ekglFU+pvaVWFqExHBq4vvEb/kV\n3ekTxHWWujQFLXmbIRlHsJhMbPLpYBvnkVXvA1E2ElmS5ZIVbcOTOXZOQ8obLyEPqkToV6tR1S27\nHZEVQe/PJ+39f8Offom5P20j96dttu0yv8p49JiEuvUgDJf2Imh8yk02CyO+T10C1m5ySjgr1xtB\ncPgQTm1sjD7njiQMkhe4KHj2m04LpfvBhLKSTUfItdzjnuUkrTWvIggyhg/HocXbpUuXOHLkCC++\n+KLd+3l5eezYsQOdTkfr1q2LRTOtsLZh7Nixo63uURAEoqOj2bp1K7dv37bdS6wPaE2bNnXpd/g7\nYbFYuHr1Km+88QYAjzwilcDExcWxZMkS0tLSUCqVDB8+nI4dOzJjxgymTZvGW2+9RXR0NAcOHACk\nUoXXXisQ2YqiyK5du7BYLPTv77yJSUpKCpUrS+fi+PHj7aKl/wR8/vnnNs/k8+fPl5lwuoqHjnDC\nw0M6A6+mky24n5otC1Zm1CfDcotgv0epXdn9vs3VKvVnYPu76I1pHLjUmxxdNNWC+lMnvyNH82by\nTUYEANUV3RjqV/auDSZzHj8er0qvFsfx9Yywve9u2l4h09BAPZgG6gLLGSsJPZL3lo2ECsipLG9O\nHfUAoPiXYlXXxkSqI6mnGkzOoKmsXbsWg8FAhuUmOZYkwP2UoSu4d+9emdL2/xT8HWl5mUzGJ598\nwtNPP83AgQMZMmQIS5YsoXHjxk7XFGfcz87sYejEdDZs2EDHjh1tUQ29Xo9er+f06dPMmDGDAQMG\nEOLXlVDft8k584VtDGdkszwoHC306pCO7M+0aO7Oj7FkJpM8UYou6vs9SruV79Fh7VwObrjNvbFS\nTeTpKXM5PWWu3ZgfGzYiV8RzUl/dJaJZGHmvjcKSnkbIgs+dkk2rRZIzWEm04eZ1MlYsQdWwEUFv\nz8b3X0MByFh7i7zfvkR/UvIvtWQmk7t1lu34oHmX3VpzaYg4qSFZEBAtZgRZcYKnjf8FUTTTbtgN\nMpIOcXFnT1srzEGP3Ofe7b1QjQpNoYPrZNNoyee6fgOPe3+PIMjIt2jZvfuELeoGEvHZtm0ber2e\niIgIu+O1Wi3r1q1j3LhxeHg4b7SRmZnJmjVrGDRokF3N+dixY1m3bh0DBw78R5BLR/jss88cip5q\n1KjBhx9KHqo6nY4VK1awfPlyli9fTosWLTh06BDHjx9n5syZ+PnZu1CcOnWK8+fP069fvxJr9K9d\nu2Zra/zaa6/9o8imTqez+87s2rWrxChuReGhS6kXhqs3vXjjQX7OGcULAXFuz+GMeIZdkSGKIoeC\nvqaLtrj5cUXibP5n7M+TVLrPdC6fYjYj5wqJaTtoEDaNWlFSeD/XnMzhvHeIMe4mV7xLI/UY+np/\n63SMwnWfRT+fLUcDMZoz6drk/9g77/imqv6PvzOatE13yyqlpayyQaZskC2gLEHBCoggBZRlEeTB\n9agoW1BZTrbsIciQvcvemzI76N5txs3vj0vSpE3aJG0Z/p7P69VX25tzzznJvbnnc77j891JWe/8\nX7DCiKe9MaWCoOW+dh/BI3Yby6qBaNns0aMHf7QVyYhOr2bqrQxCQ0PZtm2bsd3du3dLZNe2YsUK\nPD09i1z5oiTwrGI4b7Xqhb+/v1F6RCqVcngJOEu9UEnKoZKWw03qj4esAq6UNbOG5rWoHjx4kH79\n+hEbG0vz5s357LPPWNg3hwYTz7P163Sy9UmkCvd4qDlAOXkzOrkt4uck6xmriYmJ+Pr6Gv+X+lRA\n7l8d185jUFQXXcAGQpV94SzRb/XE7fW+lPrGNoFpa0TNSNJuXONRr87IgxtT9o9FJHwyjqzDB8za\nlpoxH7dXX6Nh+QecDZ/N7SUbjK91v7aZdtVE7cuInAoAZnqeBUGXncM671Y0/H4iVYb3NVpHbX0f\nea21sWPeJ/OfHeaNnJxxbR+GS7thyHxEwq/XZJPwn4YIiQ+Q+lXEb9qFAudpK0xJX2byDbQ5SXiU\naZqvXUrMUdITLtBYPgoQvUjHyvxJgF8fYqpD3J11xPftLNZkt3PcgmCNcJolCwk6VqW2pLKiOx6y\nigA4S7yZd7WekeSkp6fzxx9/0KNHDwIDzQt8PHz4kG3bthWaoLNu3TqysrJ48803bdbIfVEgCAJD\nhgyxuejH6NGjadmypTEO1WDZM8CgR9q4ceNCOczevXuNVZMWLlxYYHWm5w1///23GbnMzMwkKiqK\nZs2aceHCBcqWLWt3ny+sS90UtiZv/Jna1uEx8soTmf4vkUioEFOedHmUVbH3oiJRd8NINj/0SefQ\nw+85e2c8vZsnoJDbb0G7+3gZIQFjkctydy/X1Ku5pP6Fak59uaFZx+Wc3+mkWmxWntMS8pLN6MRd\naHQpAJT17kBi2mm83RqYBe0bzrFGKu21hEqlcioqOjJ9uigHY7gXeh66yoiGW4nTTidT/xhvWWUO\nlFPw4aI3WLhwIR06dOD69evUrl2bWrVqceDAAWPVm+LAmTNn+Oyzz4qtv38D7v4dwMbs+cb/w/3g\nFVeBDH0UacID0oRHRGsjuKP5i2whGci9v0aJnMBMJ69Xr17cvn2bs2fPGmPa/v7aGbJVOElUuEhL\nU0MxkLrOI1BIPFGr1RZrQAP4+PjwUqXZPBAOUq7m+zxq6os+MwVdSgyZ+xYjpMSSueMBurjHZB0U\nPQAeb9nvaQDLsZUpvy1G6huE3L86Mm9vyi5aCkDm/j3EjhJlx+LCPyAu/AOi6jek84b/Ggln44X/\nQRVUjogch6bDnd+3IJFKKdOucYHtrJHmvCECZb5fhPr2TVJX/E7ak+QqNNlk7phD5o45xnbygDoI\niSIp9v36nGOTLwQK1zJkpd6y+JrSrQLa83ugovi/RCIhsFS/J6/qiK6rQp6ZjMSj8KSQopLNvLim\nXo2fvA4vu04xHjPddF2+fJnjx48zfPjwfETx6tWrnDp1qkDtzNjYWNatW8fRo0dZtmzZv7IM448/\n/mhTtr4BsbGxbNu2jZCQEEaOzNXTTk9PZ926dZQpU8YmPdLffvuNd98Vv7M7d+6kU6dOjr2Bpwy9\nXk/Tpk05eVIsuPD999/z4YcfMnnyZL79VqxkGBkZ6RDhtBXPNeE0oCDieSZLXOAqOnVB0Gs5kBlO\nS9dvcJLYX8vbEhkKdurCpZzfqeP8rt39FQZBr+XXZFFMdoDHUdJ09zl7RxTEdZI5lvmn0abgojC/\nYeo6D6eyojv70nPFdjemvUZfj7/znW/NAqnX6zlwSYzB7PlyDNcfzePs7XHUrzSD6gH2ifgWRkot\nIe+1/7VVDZq41uB81mK8ZdUIVLTlVvZWxgwZx1vvH+fRo0colUrkcjknTpygV69ebNq0ySohsRdZ\nWVnPJDvTGp6P+FPzDYoYGiPFnYBCJbJmFJB7JQgCFy9eBMDNzY1PG8STpU8gR5+EWkjlvuYf1OpU\nwsMzjGTV8Nuw0B5eIhApP0RK5hXi726C7XlHMSwyuR6ftE1rSdu0Fom3D94jx9q9aJsStZwb8TgF\n1UceJDPrx7Vte4Iv30PIzCT+i8lk/LWJnHOn2VJJtEAED36NSoMsx5AVZtkEEDRark7/ncD+nXGv\nGmTVullYwpDh9cfDxHvepc1QXNqPQdW7Kopa7ZGXr4n6/N9k7l2I5rqYfa99+OSa9Z9mrAFfVOQl\nflKZC4I2y2JbhWs5krS5RDmit8bsdYnKCyEzGWkhhNNe2SNLyPusSxei8ZRWtNj29u3bXL9+naFD\n88eXRkREEBUVZVU70yBgrtFoCAsLQ6vVcvLkSZo2zW8BftFx/vx5evXqZVPbM2fOcOrUKW7dumWs\nGCQIAps2bSIrK4u33nrLJoOEKTm7dOmSXTJwzxKXL182hiaBGBKmVCrNyPXx48dL/D55IQinAZZi\nO/dmimbxXu5bWJfamfvavVRXvEU5pybFMqZEIsVF6kumEI+rtHh9lfMSxdiRhs7jKSNvxJxEkQx1\nfOm4Tck9tsJJ4oKXrDI1nAdwO12s+nFXs4N1qV3o4/632U1njQTuv9gFgGr+HyCXqTh7exwAVf1H\nW2xvyS1fErqkcbrz1FGKm4FNGeLCPG7cdhYuXAiIcXwgBpFPmDABnUkNaD8/P9q2bUvLli3tJqJF\n1REsbjx7slk0FESYpVKpsUZzuB/4O1W22G7G99b7rt5UQK3cSMahEWizLQ1kElokleLatgN+U78C\nIOfKJeLDP8C9fyguTfInveQla6b/Zxz1JmPn92iuHcC1W0/kVgSwpa6ulP7ue5qs/YS4I+fY1yUM\nnwY1aLLgP5bflA2IuFOGlN+XkBUTj7b/uAJd6bZAL+R+d7IO/ELWgV8AyNjwGbLSlXBpH4bn6NVI\nnd3RJUWRMFGMOXTtMKpI45rCtGY6gETqhF7Q5GuXFneamBt/IGTezveaAfqMZKSeBVtz7CGbtlo3\nAdT6ZFQmXrPpcXqOHj2GSqXi9u3bFuPp9uzZg0QioWfPnhb7vHv3Ltu2beP11183xjH37NmTX3/9\n9V9JOH/44QeGDh3KihUrCmx3//59+vXrR6NGjZBIJCxduhRPT0/i4uJ47bXXbEpMBHj99dfZskVc\nP6Ojo0vUElic+O6775g0aRIAQ4cO5eeff2bp0qXG8p6BgYHcuXPnqZTufKEIJ5hbO49kfg5ATcXb\n6FBzXyu6woqLbBpQyakbV3KWU9t5cLH1eTjzU7RkAtBONYvZCaLbpEaFifi6F+z6soaUjCu4KnNj\nffJaK0MU/fD2rEaOPoU1qe24q9nJzoyhdHEruERYauZ1YpP/AaBBlbmsP+IDQJNqS8jRxLHlRCAt\navxJhVK5CUB5yWVJkE0APXqkUjmZQhwAcpz56WXR8lO5cmVj9uXw4cPzxezcv3+fXbt2sXHjRiMR\nlUgkqFQqmjVrRrt27f7ViUHPG4pipbV2Xrhf7obHr+JreJd/hQfnZ/Lg/Cz0aEGwHDOtrJub+ays\nWRu/GfNJWTSfjF3b8Zn4H7JPnSBj+xYkT6wi2pgnxEQiQZ+TgbJxH5S1xRjnnBM/i8LqCic8B4nx\n4KbWTwNBNfxfqkV9+qUdK/Q9F0YgsyKOkTjrGzzeGYqiqvWyfLbKIUmkMkovSRXljq4fInPPAtTn\nxHhp3eM7pK8KJ31VuNk53pN229S3Qf/Skg6moM5GiLuDNuYG2tjb3LoRZyy1C6DyqpmvP5V3LVr5\nzOdMUu533v+6jKgQ8Xpfa5KN7mg0iprtCpyTrbCHbAIgkSCVyKk7ZxmCIPDHH3qaNWvG3bt3OXbs\nGL179zZrvnHjRgICAmjcOP/aoNPpWLNmDe7u7owcOdJclzQoiPj4F3w3agXOzs42eZk++ugjhg0b\nhq+vL0OGDCE9PZ0vv/yS119/3eaxandrthMAACAASURBVNSowbVr1wDIyMiwKDn1vMJANk+fPk3d\nunUpU6aMUb1j1apVvPnmmwWdXqx44QinAXq9nmNZYkm1rm5/sDRFDPLt7lb8JaikEjlOEjeyhWSc\npUUnIDHa0xzPEqubjPNRczBjMgJaJEipFzzN6nmFZdffjV1GtQDzEoGm1kWJREIZubiQtlf9wC31\nZi7l/EZNZSiBTtYfvNtPiQ/0Lg3PmcVxVir7LqsPig9aF6W5y9SaVdN0/nnbOCJSL3niCt2ZLpbT\n7OXxFw2/XwfvQNeuXfn2228JCAjg119/5Z133jEjkIGBgbz3Xv4ynImJifzzzz98/fXXZGZmmr1W\ntWpVWrZsabEe7/OCp1lEwfR6tqyb/9oV51wc6ccwPwPRkDm5UbHR55StPpTzdz4h58SfIJWZE09B\nQFm3vlk/UqkU77AxaB48IH7qRJyCgij11QyzNgbiJggC2fsWkxm5HNfO3ZAolciCgkEqQ2oiSm2N\n6BUmeWSLpVLISCf+04ko69bH56MpVtvZSjZNIZFIUFRvbUy2AhCy08g+toqMbbPQp0QDIPUqh1Pl\n/JY1ITMZ7eNIhIR76OLvIyRHcytKQH4EbqJHdgSSS5tcD5kMqXd5ZKUq4fxSd9SdKlPzTK4Y+uNb\nq/ONEXBbBVKoGfiJ8ZjhHgDQ67RIZNaXv+Ikm5aeaR6SIHrP0uVzjYeEhBit+ZArZ9S8eXOLlbgS\nEhJYsWIFAwYMsFo+srgSg583XL161aZKb4mJiUyYMMFYnnLlypV2x/MbyKZOp3vh4mFnzJhBeHg4\nn332GX/99ZfxeEpKylMPC3thCad64BiYDw2cx5CjTyFOdx6A6sp+hZzpGKooXuO6ei01lUWrkqHV\nZ7M8pREAgzwv8lh3johsMSZkrE82skIIl7XscQC1Njlf/KYBecncS86jkKHgnmY3a1JfoaHzeJq4\nTEQlNV/MLkSKLj1fj2Z4utZmx2lxIe75cjQ3HonSMq7KCvh5WNbXM8wz73wtPYTtJZuCoDX+fVsj\nujrWpLQ37vC/++47XF1d2bdvH6+88go9evRg3759hZYp8/HxoV+/fvTrZ34vCYLAmTNnWLNmzf8s\nn5hfU/+LkF276CS8OGNRw/0AKyFWzm4V8HxvCZoOYaSt/hjt7RO5dcMlEpS16lg8z6lCBUp/N9fi\na6YWS9f2I1A170/Swvlobt0QCeeThd+U5OW16JmSSdO/7ZVBSl7yE7q4x5RdvNxq/KQjZNMapM7u\nuLYbjmu74SR93we5X0UA0lZ+lL8uu8IFqVc5ZL6BKGq+gqx0Jaqc9zHrz7RkpfFYA2vyRdYJlatS\ndFubkk0Azc2jOFVtYcc7tB/WnmdRmmP4OzWjVSsJy5Yto3///mYhPQZXrUajYfHixfTp08ei+zY7\nO5uVK1cyevToF44EFQd27dpFx44dC23n4eFBly5dqF27NhMnTnQoebRx48acPHmSv//+m27dujky\n3WeGsWPHEh4ebiSbn332GZ9//vkzmcsLSTgFQWD+fDFZqJ3rHBYni27kPu75k2CKCxKkSIvh49qV\nLtaureLUEy9ZZb5PFE3zQzyvoEdHhpCASlp8sSFWq//otezPzC3vdjp7NlHaIwz0PG4kp2pNElce\niBbXDvUOGpOGxDhON87cFq2p3RpfL7b52oOH2sOUktVj6OFrzKwBvrKaaLW5JNTg9qhfvz7Lly+n\nR48e9O/fn/Xr1zs0nlQqpVGjRpw8eZI6dSwTkucFBsuiKSksqbCGgMtSwq89Zu5cz8IbF4KCXONF\ngak71RROFRvg/fEu1Gf/Im3NJISEB8hKVULq5u7wWKYZ3fqcLCQurkidnJC6uaG+F4mqeS7ZezA2\nGp78ndfN7kjpShBd6Sm/LMArbAxOgZYlwYqTbOaFU+WmyDzL4tLKtix/S9ZEeyyMer14XS1ZGi1d\ncwBd4kMzC62tsMV1Xtj3LEF3hR3pYkJQ2bJlWbt2LVqtlk6dOhk1OA2WyyFDhuDunv9eFASBn3/+\nmffee69Qsunt7U1UVBT+/iWjtPKsEBoaSt++fRk0aJAxHtESNmwQ1R4OHDjAiBEjOHTokN1j7dq1\nC29vb7p37/7CWYxNDSyRkZH5asY/TbyQ2yKDG+LLL79kwqUY0oSHAAQrupTYmIm66/jIrMdB2YrW\nqu8AuKXZZCSbbVxn4iELYm6iCwuSHBMqF+M3C89aNUAqkdNJtYTX3TYw0luM54jWnjC+/rCWwOYT\nYn+tam0kLesmMUliPFaDKnPZckJcyBpXXYRMav+O0Zrl0x7c0+yisvI1WtUWa2+/5raOr7/+GoCZ\nM2eatW3dujVt27Y1VuUoCq5cufLMgvDD/WwnXzPixcXP8GMND2sJxh97YNpvZGSkxQXNXqJoqb0j\nZDMv2QbrZEEikaBs0APfr87iNmAWvlMn2T+gFagvXcS5YWO8w8agTU0leUH+zCZTYpk3ntNeZBz1\nJmn+ShTVa+L1/gdW25Qk3LpPRMhOI33rt8Xab/UIZ+OPGfR6ylzVWj7JAvSC1qJQfGGwO04zD+K0\nFziVNRd/p1zLqo+PDwMHDuTtt9/m/PnzrFixgpUrV3Ls2DHCwsIskk0QqxH179+/QMF3A7p06cLm\nzZuLNPfnET4+Pmzfvp3jx4+baTRbQ5s2bQqtQ28NXl5exhrtly9fdqiPZ4nwcDG22lBZ6VnhhSOc\narWalStXAjB16lQqVxYzVt/yOFyi4yboruAryx+cbi/cpOVo55rrknOXBtDYZQLfJ4oi7aav2YO7\nscupVNa8rFlhO+3qyn5UVfbCVVqK8nLxIbgr/X2EJ1mffh5iSb1zdz7OjeNscJaYpN2otYkAVC6X\nPwbSVjgSs2mKbH0ybtKyxOvECia+8hpGV8G4cePM2t64cYOuXbui1Wo5d866JqAt5EYQhOdCRLkg\n8mn6WkFE0l6SaY2cft3hQb54Kketkoa520qubXXBW7N2GSCRK3BtNwzVK8Wjq6fX6ci5fAFF1RAU\nVarh3u11UCiJGjzBzJJpDwEsLH5Tr9ejvnYQ1zbtkeTJOrV3rKJA1XEUcv8apC4fW+Lxzr4Ve/Iw\nfkO+49au90XPPThVs+5Ot2RdtYdsCoKWe+o9HMj4mN3pI40/kZqdlJLVI0Z7kqVLl3L58mWjtSwt\nLY2yZcsyYMAABgwYQPfu3Y3PGL1ez9atW1m5cqXxp3Xr1pQqVbh+KECLFi24dKl4qzw9L3B2dmbi\nxIkMHjyYxMTEEh3rwgWxcIGpvNCLAsO6aK306dPCC+dSP336tPHvmzdvkpUlarCtTCk4HqeoLjkd\namSS4tFwbOgyhn2ZYwF4yflDtqW9DYCXtDINXcYUdCpgLX4zCRel42Uc3aWiNfNCzmIuHF5Mg8pz\naVHjTzYc8yMt6wYAvu5N8VTVYcchMfGo58vRCHodEqRFkgkqioTSPbWYPd+9e3emrkhl5hOvbl43\n0+3btwkLC2PKlCk0a9aMw4cP06JF/nvmRZIXsqRPaylJp6DErbwwXAt7BfzThUdsGNwCgyzes6p2\nZApbS9jmRVGtjMZ+tm9GSEnGual4n7k2b4Vr81bE/zdX6qiwcpKWYBrPaSCgxj50GvSZyeiyzMsg\nPi2iaQrnhq8j8wsibcm7uA/6AamzW+EnOQC5wh01ejS6dJxkhY+hi4tEUaONxdesufK1gpqktNMk\npB0nI/vOE6Kop1bQVB4lbCUl40Ju5ryzhMopDWnsEm5VSi80VM+ZM2dYtmwZer2emJgY4uPjOXPm\nDL169cLbW7xeFy9e5MiRI/To0cOmBBlLkEqlL5wb2B4EBwezePFiJkyYQNu2bQt0rzs7O5OdnW20\nVtoDQw16gPj4eKtJWs8jnpes+heOcDZr1oz27duzZ88eY9ZeQRYrAywRiWe5KI71yWZuojMHMyca\njw31umnTubYupPbE77VX/YhncFdOXBe/rGduj+XM7bFmbSqXe5+Dl8RSjlX9RyGXubPmkAJ3l6p0\na3zNprkXJyRI2JjWA4AKR36hWWnRhbhhwwb2799Pu3btePDgAQEBAWg0GlQqFatWraJPnz4MGjSI\n/fv3G/XqXgSY3q8FWTYLgr33ja0bgHQhCk9ZpeeCaNoCe+pnOwJt3GMSZ3yDvEIgLi3MYwUlSiVC\nehrgbTe5bVIplog7ZQpIItKDzAl9ekKxk8y8Mk62wCmoPu5vzSBt6Yd4Drcsv5ZXW9Ne+F+XofPr\nzf24tQSXEcOtTK2bptc6+8RanEJa5utDEASE6OtEX79AZtIVBF2umLwqSUK0RIa7SzVKe7bBy38M\nUqmUg5d6c+PRfMp4daBSmSFIpbnLaUHfF3EtktCwYUNeeuklpk2bRkJCAhUrViQnJ4exY8fSpk0b\ndDodNWrUcNgN/P8JPj4+/Pbbb/zyyy8MGTKEOXPmWEzs9PLyIj4+3uHn/t69e3nllVdo06bNC+da\nf+edd1i6dCnbt29/KnXTLeGFI5wA//zzD507d2bXrl0A1KzpmKvblIQWtFCWxO5QLlHyhsc/rE0V\ntfre93pgl5XQQDoDLku5XPGyXfGbluAi9SHArw8XIv9DlvqBxTYRN3KrLTWsMo8NR0XB3OoBE4o0\ntiUCbUp0LJGedCEKpcQTLeJi8lNiaSQSsVxgr169jJ+lm5to8ZBIJGg0Gnr37m2UiejatStnz54t\nNGvdFFqt1qaM0CtXrtC3b18uX7783InEW8OO0w1wc6lMy5prydEkotdrcVaI17gwoqrRp+Mi9Smw\nTUnBWmZ7UeKDi4qErz8FCZSe9VO+LHFFlRCSV91CWSvQZqKZl2RaI526mBugF5AoVUV7A3lQFGuv\n1KMUUg8/hOz0ErNyyqTOyKUuqDVJxNcWpV6ir/1Gueq5LsTMvYvQpcahiTwJWg2YFteQSCiTHoiz\nXwNKBfdCrhD78L8uAytrg5tzILWCpiKX5pLlvESzMI+JVCpl0KBBJCUlGRMRw8LCEAQBvV5fbGLc\ncrncYcvei4QhQ4awZ88eoqOjLRLOe/fuGWugO4J27UT5wCtXrhRYSvd5xKxZs1i6dCmhoaEkJCQ8\nkzm8cDGcBuzcuZPq1UW3kUKhQKPJX23CHsyIz/3Jiwx9DG5Sx93V1hDk1B43iZhosTdzbCGt88Pw\ncLsbu5QWqflLbxaWLJIPeg0KJ2/qVfyWFjXW0LxGfn07AA/X2py8MQK1VrxpK5cbZvfcDbA3WcXQ\n/nbOXwQ55cbaGUhduXLlzGLGDA+dZs2acfz4cQCjZfzGjRs8fPjQrvmeOHGCGjVqFNpuzpw5XL16\nlQsXLrBp0yYkEgmRkZF2jVVSiArRWbwvkjPOG2PhNh4rxabj4j1//dE8TlzPjdW1fE893UeJI4lO\npnF4xVGu0Bo09+6S+c8OvEaNtyivJMg6o7l+yGES16RSrNHSaQq9JpuUxUOQ+9dA2aSPQ32bQtU8\nyfhTVEgUKoQM6/0UxeJssGZKmnfnjOYn4u5uJSXmKAn3t3Hy5ig0UdfIPrkBaekqKOt0RNX3K9zf\nnoP7wFm5PwNmElh/It4BHYxkszB4uNYgMTXC7Fjee9IWi39AQEA+1QupVFqslV9efvllo4Hm3wpB\nEBg0aBAfffSR1Wf0/fv3iY21T2IsLxYsWABQoOv+eYQhBKCkY10LwgtLOEEUfu3RQ3SpKhQK1Gp1\nsfRrSj5nxEOc9jylZPUKP9EBvO8tEp6b6vVEaQqvLpIXD2sJqLXJJNcpayQCjibiOMk9aF93L21S\nR1KhVB8CS71B05DfaVtnF/WCpxvbpWZe4nbMEgB6vhzl0FhFRZzuPAHylkzwEWjUqJHxeKXkMDq4\ni5JZ//lPbqxcxYoVuXfvHgAvvSTGoHbp0sVuiYzDhw/TunXhciqG+NCDBw+SlpYGYCyL5iiKM77U\nnoSts7fHERn7G1By0kr2wJI13DTByFKGur0oCslKW78aiYsrbce0sGiFlJeqiFR5HyEzs0B9TQOx\nNPwUNt+s3aMQEu9Seu503Dvo7X4PpuSyOEimKYSMROS+BXthrjXJdph4RoXokEqdcPYIISXqACqf\nOgi9hyKv1AjtvbM4VXwJ59rtUVRuilSe3yrlSKKQr0czEtNO5jv+PHxH8qJ79+4cOHDgWU+jRDF2\n7FgmTJhAgwYNrLZ54403ikw4DSEOq1evfuFiYzt37gxAREREIS1LBs/fN8NObNmyhV5PMhWUSmWx\nkU5TZOkTcJH6Fnu/IFrm3vO6A8DK1Obo9PZZagMuS3FLsmzJtDcBJ+CyFIWTNwpJrhRHcJlQynq3\nJy3zGm7OlTG9ZVwU5Tl6dQBJ6WftmrM9sOZaN5S0lEgknDx5ki+//BKAI1mfGhOyPv3003z96fV6\nBEFg/PjxbNsmluW7f/++zfO5f/++TSEcbdqISQkHDhwwEtTn4YEfcFlqXEjzkjKFPPced3LOzYBV\nOuX+bZ3IicdLOunKdPyoEF2+TORnHUP6UulIMtYsJSSsD3IXcxJjyBJXNU/Ce/Q4Eud+V6T65qZE\nVHP/HulbNuA9YTKtutn/IRQ3wTSFoFUjkdi+1BTF2qnyCSGligeXlFuQ+VfHpdlbuDR7C1mpYLv6\nsSUr3dO1NunZuV4Luz1KTxEeHh7GBNt/K9RqNfXr1y+wjY+PT7FY+EaPHg3AN998U+S+niYWLlwI\nwODBg5/J+M/nt8NObNiwgb59xTreSqWSnJycYu1/wELr7vbigJcsmGYunwGwMMk+cd547RXcpObZ\ni0WRG7J2Xv1K0+nc4BRvts4lxNmaWB6n7CcmaTcabSqpmTccGrOoCPcTJbJGeD8yOz6hTKYZASld\nujSzZ89m7dq1TJ06FScnJ/755x82bdpk13i2xHAaxHUPHDhAUJCoWfqsNdAswXSRLOUpWmUzcx5S\nWiVKYmVkP6CUR4snf4vE3BrpfJpkE0RSYIkYPCvrZtXUg+zrNAJteiZVhuV3aZtaEOXlyiORyVHf\nKzzMwljqUvmAJsr88dWNg2OQ/voVSm932n30ikNzzztP08QgA1F2VFYp+/AyFA172nWOI6TzWpNs\n7rUPREiLw7lxH2RejoVB2SqBJJVKcUuUFEg0XyTVixcZixYtMvN0WcPjx49RqYoe3/z996KerqkX\n7UWAYV26evXqMxn/X0E4AdauXUv//v2BXOmDkkBed3txoYXr5wBk6eO5mP2LzeddyVlGHef88ZtF\n1bjMC4WTN05yMbapfytRZFmvF3+fj5zM+qPebD9VA7U2pdjGNIUpiRAELRLMF4VwP3CT+jPBJ7fd\n/CQvItU7jP+3bduWIUOGEBQUhIuLC23btmXp0qUcPnyYgwcPFut8DTGl8fG5N0lSUslZkWyBIb4s\nrxi84bP1e0Is41OPGklmfOoR/DzFrN641IK0bkv2UVIQiTS9z59FopDB0nht9jJSr0bSasNsVEEi\n2SnIguk97mNSFs6z+nphNdUNeLB2N/fX7qL+9HFmVlVHs9SLO7td++ACSisyRAXB4GK3hXwa2kjl\nctDZLgIP5u70ooq7P894UZIXbUV6ejrJycmMHj0aQRB4772CNaF1Oh3Hjh2jcePGRR5bKpXStm1b\nADZu3Fjk/p4mDCFlN2/apopTnPjXEE4QYyoGDhRrnbu4uBSLC0Gv16PTFSwYXVz40EeM9duZ8R6Z\ngm1sNkefjJvU3Cpa0q4diURC3xaWKztk5diXhOMIxJKWlktLSiQSPvLV00UlxhyuT+tKiPINwv3E\nON9p1Xxo2rQpJ06cMAbq79u3j+3bt5f4vA2Iiooy05O1FSXtLi71ROj/rvQwfp65hNNIPlOOFnC2\nUGLzs5VEFtauMOF3sN+6aSCDGfeiub9uN9U+fAv/Li3yvW4JUoWCCiHu1NCfyhenaYn0ReRUICIn\nNw5SLwhcn7+KE8O/pP6bLQh6U6y0FnGnjN2k0bS9qnkS1SOci0UoPufibrGGehFREPHMd9wO931R\n8Ly6zy3h2LFjnDp1yiYJwecdixcvZvDgwUycOJGXX36ZESNGEBYWVuA52dnZbN26tVgrxG3duhWA\n3r17F1ufTwO//irKkw0fPvypj/3ifGNsxPLly3nnHbGGr6ura5FJp0QiQafTlXi1DACFxI3X3cXd\n0k9JtlWRyIun9RCUy1zo0eSO8f9KZcTawAcudSdHU7JZcJe8xJKWBaG282De9xLJ7w31OmYmSEhJ\nEa2v8xsEcv/+fSZOFDVQtVqtzbE4Op2OUaNGMWrUKEaOHMknn3zC5s2b7YoLCgwMtMn9U9ww3YiY\nWucNx73dGwKQde8o3m5i4H1cyhFq3xePx6ceNba3hmcdQ2kNtpBNe2EgiHq9ntNjvkNZypsaE2yr\nH244XyKXI3MWk1hMiWJhxFfQaDk++FPOTZxD5aG9qLLgWyQSiUNk0wDT8x6MjXaoDxCzhTN2fk/q\n76PQJdzHbcBsh/vKi7zksqh6qo5aN215zj5P7vT58+ezdOnSIicuPmtotVoOHDjA77//jl6vp3nz\n5jZV/tHr9WzatKlYM//d3Nzw8RGl4M6eLbk8huKGIc71WYR4vZA6nIXhjz/+QCaT8dtvv+Hq6kpG\nRkaRlPa7du3K33//Tbdu3YpxlpZRVdGTUrK6xOkusDt9BB3dFlptm6C9hpu0eIXL7XFJqpyDaFdn\nN/suduROrBgGkJlzn78iqtDxpaN4uFYvpAf7EBWiw/+6DLVWLGlZGNxl5ZngI7A0pT5xugt4eXnR\n130nFRWinNKJEydo27Yt+/fv5/jx4zRv3rzQPg1B1wY8fvyY/fv38+2335KRkWE8rtfrUalUZGRk\ncOfOHQICAnj48CF6vZ6AgADu3buHIAg2xYMaYKmykD0wTboy9GFamUgmVQKQlH4WmVQkQckZ54lu\nKIOD4t/W8ez2rpbCR0qCYJrC1Bp5b9XfRO88SqsNs3HysE1n0pjsk5yGcxlfo/u83du2FVCI3nmU\n+2t34d+9NQ1mTchfcchBGJKawP4qSEJqHBnbZ6DPzsC5xUBUnQuvmuYICiWZetueYcVBNpVSL9KF\nGJueR88Sr7/+OufOnSMmJuZZT8UuaLVatm7dyt69e9FqtajVamPJz23bttnsKdLpdHTo0IG6desW\n6/zOnDlDxYoVadCgwQuVse7v709UVBSxsbGUKeN44iKI60esjVEs/zoLpwG//vorw4aJ+pCGhd9R\nlC1bltjYWIs3VEkkE73jKe6WzucsIk57wWq7KzlLqa0cXLyDY59Lvoz3K9Sp+LXZMY0ujZ2nG5Ot\nLpr8hHXY/sWWSCQM8jpPZ5VIiNeldWZrWn/q1q3LD/3jjbu8FStWEBUVxccff2yXNbt06dL069eP\n6dOn8+OPPxp/fvrpJ7p0EV2cc+fOxcXFBYCBAweiVIrEbsSIEaxdu9YszrMgmJJER2Dtuhr6M33N\nlLCZ/m3pfDGmtmTiwxxxp1sjm6YxgZZIiy3udFPXt16v58YPqzn94XcE9uuEf9f8FWwK7Ev5AF9t\nIndX/G3XeQCRClGmLc0lwGjVNCWLjiLv+bb2l/H3bDK2z0D1ajgeg39EUbXwzVuJoQRd6nnv/zKy\nBjzS5I9tfp6smwD9+/dn9+7dz30cZ3JyMj/88ANhYWGEhYUxZswY1Go1s2bNYsGCBfzyyy9G8fqQ\nkBD+/PPPQvvU6/Xs27ePixcvFvt8DQmhwAtF5pcuFYukjBlT9E2hPff6v9LCacDixYuRyWQsXLgQ\nNzc30tLSjJVn7EWnTp3YtWuXUcfKGizVsrYXEomUQZ4X+SOlDn+k1GOCj86irEiWPhF3mWP1da0h\nbyKJLagVOInEtOM8Stj65IiATp9JdNIuY6k5UxgIwdMM0K/j/C4VnTqxKLkC19VrqFdvDV1Uv+Eh\nqYgODUeOHGHVqlVsmhvJ1KmZDt8npujYsSPr168nKCiIiRMnMmzYMFq3bk2HDh0YOnQokZGR3Lx5\nk1OnTpGenj8m1svLi9q1a9OoUSMqV67MjPjiWUgN92hBD4rkqP0295cqPCgx2TB7YYls2uJ2tZVs\nmuLmgjWcDZ9NxYGv0mDuRCtn5Z6XN4GoSXwk2TMG8c3bG/BrYW7ttpSNHpFTwdhHwjdjkQdWxHtM\neJFqv+ctV+koaRUSHuD+9hy7zysRyJwQ1NlIFdbF/R2xblrabPk7teBs1jxClH2Nx543smmAVCp9\nKqFh9uDChQv8+eefxpAklUpFz549GTlypNn34eLFi/z0008MHjwYmUyGWq2mc+fO7N692yhRZA0T\nJkwgNDSU7777rkTew5EjR2jRogUtWrTg9u3bJTJGccNQbenPP/9k9WrLBV5KAv9qwgliVQCZTMaP\nP/6Iu7s7qampuLu7F35iHgQEBLBr1y70er3FXaLpQ6Y4SGcpeW1ech7N2ewf+D2lDkO88tdtLSmr\nEther92AVrU2sfqgAshd8JVOxRvQ539dRpY6Bie5Fw+r2p+F7y4LYIKPwO8pdUjQXWZHxhD6uu8i\nSx/HtvMDOX/+PAqJR7GQTRAJJ8BHH31kPBYWFkazZs0AiIyMZOfOnVbd6jExMURERLBmzRqiovII\n7PeHo7+Ai7QUvrKalJLVw1ta1WYXfV7Safi9uoLo+r+wLbeK08EluULZGn0mThLz8JRU4R5ukuLd\n+MCzLU1pirxEU52UytWZf3B93kqqvN+XhgWQTWuIuFOGHyq1JuJOGRQhVwjJOoJ3nWqWx4+PJMLP\nXEdSfe0Kqo5dyb5aGXCszrkpCnKfmxJQa230wtNJrLQFMr8gtA8vo6jUsNC2RSGbAG7SsuToc5U5\nnleyCeDk5ISbmxuPHz+mdOnST338zMxMNm7cyNGjR43ENzg4mLCwsHy1zdVqNZMnT2b27NnUrVuX\nAQMGUL9+fRYvXkznzp357bffCA0N5dq1a/z000906tSJKlWqWBy3ZcuWBAfbp8NqDwyhWHfu3Hmh\nyofKZDJ0Oh1paWkOcSJHICmunchZxwAAIABJREFUuAOJRNIAOH369OkClf6fFcaOHWvUzkpJScHD\nw7byZaaIjIwkMjKSV16xTeuuOBIoZiaIpLKH21qzXXSC9ho31Oto5loyOmCOLPZ6vcCfh5yM/79c\nfRmJaad4qdJMJBKpMQbT8NsR3IpegptzFcp6t7ObcJrGMF7I/pldGWLIRXWnN0kQrhKnE2MUDx06\nxO7du4mJiWHBggV2xVnmxd9//83cuXMLLStXu3ZtQkNDGThwIOXLF07ewv3E5Ix0/UNitWeJ110i\nQ7BW9UmKu7Q83rIQfGU1WRxfucD68Q16nSD2xlKirvxU4By8pdWo7TwEud4VH3kIwYqCrf/2wpF7\nMCpEZ3ciSUEWvbxkM3rnUU4M+wJNagY1Jw6m+keDkCmcrJxtDlMLp6nVs2rGIa7N+IOmv37Byyrr\nyTo/XG1kJHyJ/62La5v2OLeeY/Ye7CGced933kx1a7A0RtrqiShqd0JZu4PN45cUcq7uQ4h/gEsr\nywlc9lo3C3vO/JM+ig5uPwLPN+EcNWoUvXv3JjIyslAJoeLAqVOn2LBhg1EOTqFQ0KFDB7p27Vrg\n82fdunW88cYb+Y5XqlSJadOm0a9fP0aMGMHChQtJT0/nl19+oWLFisTHx/P666+jVqs5fvw4TZs2\npXz58tSvX58jR44Ui/6mNSxdupRBgwbx2muvsXnz5hIbpzixevVq3nrrLT788EMjN3IEYgznGZal\nNARoqNfrz1hr+/+GcAKMHz+eOXPEB3RycjKenp529/Hrr7/y7rv5dS+toaikM0tI5Mck0V35oU+q\nsQrQwYxPeMl5JO6y4k0aMsCQiGHvon/j0U+cuf2B2TF/n260qrWZ6OpCkQnnqZujaVB5LlKp+MCy\nh3TmrbyUqrvP4uTcGJwPPviA+fPnm53z6NEj/P3tE+MvDBcuXGDSpEns3r0brbbgaOuBAwcSGhpK\nhw4dzDIs7bmvBEFLgnCdRN1Vmn1y02gtPbzE9NpKAQEpcrTlyqJyrsi1vgHIylSh5gU/stMfkHpo\nAbFRW0gSrAv8O6GilnIwtZ2HUEbWwOGYMUfJJhTuQrfVZZyXbD7YuJdjb39C2Y4v0/inKbj426ck\nYU2Ts0mlWK5M/43y3dvQ8aVc8mrqQgfMXOeP+nVHWbMOfp9Pc8iqmddqaY8b3dp4KYsG4z7s1yJt\n0ByBgUAarruQnkjmjrm49f3SYjsDioNsgkg4z2b/aOt0nxlGjRrF999/z7hx4/I954qKR48esXbt\nWq5fv86ZM2dwdnamUaNGjBkzhsDAQJv7iYyMpFKlSoCYWR8UFMSMGTOMJYgHDBjAihUrjIQTxMSi\nn3/+mWHDhrFlyxYyMzPp2bMnv//+O6NGjWLp0qVG5ZqShOFZJwjCcx8rC2Jsq+G7WhQeaA/h/Ne7\n1E0xe/ZsZDIZM2fOxMvLi6SkJLy8vOzqo2XLlhw+fJiWLa0nCBRGBkx3wYW1dZH60EX1OzsyBjMv\n0YOPfMUbI0efiLssoFjc95bgqLxSVf8wHsZv5HHKXkAUE49K3MatMpdQUXhJyIIQFaKDmxjJZl4U\nVsozL4H2kAUywUfgt+QaJArXLT6Ex1a/yprU4iGcOp2OqKgoVCoV06ZNo0KFCixatAiAtLQ0Nm7c\nyLJly/jnn3+M56xYsYIVK1aY9VO3bl28s0KpoRyQT4PVEqRSOb8n1gJqmR0PX5W/rSBoSUq6yc3y\n1/D+J4Kc9A1EJ6rR6/W4JUoIcupEEKIVS4eWFN1tYrSnUCO6FTVkcC7nR87lmC/AVZx6Utt5CMFO\nXZFJrFsELRFNS3GZBrKQ9zVrZNMeQmVJOzPu6Hkihn9JQM92vLz0K6Qm5N803tJUJ9NWRNwpQ0p2\nGcpkZAFOxn72LTdXeTB7D1H3kLVq99TJZkGQB9ZDiL6GtHzRvue2wpRAml53qZsP+pwMi+3sQWHP\nQMNzfNQoh7p/JpDL5YVucgtDcnIyGzdu5NSpU0ai4u3tTbdu3Th58iQzZswQpcJOn+brr7+mcuXK\nRgm6wmCQODp16hQNGzZk6tSp9O7dm9DQUIYPH87KlStZsWIFFStW5Ny5c9SvXx+5XE5ISAiRkZHG\nMtcAvr6+JCUl4e1dvIUMrGHixIlMnz6dTz/9lP/+979PZcyiwJQUazQaY/a/vZgRD+/YSKP+XxFO\ngBkzZiCXy/n222/x9va2m9lXq1atUMJpjQRacrfYQhhrOw/iUOYkMvQxnMteSH3nEWj1JVNJqaiQ\nSCS0qbONbSerk5lzj/jUIwDoBY2RJBQtWcjxnZglMiORSHjX+xrnsxexO2MEAK6UIxPRtXk+eyF3\n71Y2lgRzBJmZmbzzzjucO3fOLKjcz8+PkSNHUq9ePdzd3XnnnXfMduJ6vZ7z58+zbNkyli1bRlxc\nHCBaSCGcA5nhxraGjUhe2HJ/mRJ1qVROVp0QpCFVCACabDB5CFkJbVULmaQId0jV3SVNeECU9jjR\n2hMkCdeNbW5pNnFLk1tCNNipOzI/kZxJpUqUcm+UTqVQxpfCzbkK3m51C5Q2sic5qKhk82DvcUT/\nfYRSrRrQeNFUq2SzKJAolVyKdMW3sfiZ7Fte3RhXqWqeZDav5Mu3iUxKxb2s5c2G9vFtEqe8hOeY\n9Shrd7Q6piNktaBz9DkZIFdYfd3qeXo9ybO6o426SqnZd6y2s5c4FtS+sGdQYWSz5S+bkUh6GmOw\n7ZU4exbYvXs3/v7+9Oxpe5nRtLQ0Nm/ezIkTJ4wFUFxcXOjUqRNdu3alVq1aBAcHEx8fz4gRI5g1\na5Yxc7tNG7G61JAhQ2yObczMzATEKkL+/v507NiR8ePHc+zYMV599VW2b9/Ow4cPGTFiBF988YVR\nU7Jt27b88ssvZnGcWq2W1atXM2jQIJvfb1Hw7bffMn36dL766qsXgnCCqKAyduxY5s2bx4QJExzu\nZ+xeWFZ4yPT/P8IJMG3aNDw9PfnxR8fcIE2aNCEiIoImTZoUy3xsIQXvez9gbqILHlLxy1xN+Qan\nsmYBE0rMygn2Jw8ByKQKXmt6h+sP53Lx3udodWlc2d0faZmPqOL/vllbe9zrZa/qiXqSKFXQeYVZ\nOi2hnvP7VHTqwpLkilRT9EatT+O29E9u5KwjOHgd06dPp3fv3lSuXNnmPqOjo5k5cyZLly4lPj6e\nkJAQ4xccxLKX9evXp2zZsrz77rt8/vnnZrtMiURC/fr1qV+/PrNmzTIeT0tLY8OGDSxdupS9e/fi\nKc0fEG+qTWlpo2NIGMp73+S91hG9xY1CQZ+lQupKKWltSslF60R98lf9SNTd4HLOH1zK/o0MfTRB\n1T+krLeYKanVZpKpfkS2JpYczWMuRE6mal/7BKrzkk1HrHaWyOaOxgNIuXQLQNTZdMtNmLKXbFrL\nVgeQKJToc3KMEkfNXz2BwtuDpjVOiUlDymAiciog6HTsHzoDgJDI97hVXiRWhvefc2EHKfP7iX3K\nLFssirt0pQFCcjTyMpYTN6xB+/gOiVPqW329MDe4tU2J12MZVLXcZ1HIZroQxcKk8sx8wtlcXV0J\nDAzk0qVLxa7xWJyoXr26sZShIctboTDfHMTHx7N582bOnDljNMScPXuWKVOmMGvWLLP2giAQGhpK\n+fLliYuLIyMjg19//dVibsSnn37K5MmTjeFstiAyMpJx48ZRs2ZN7ty5g4eHh3HDLZVK8fLyMivq\nIpFICAgI4MGDB1SoIG7a6tSpg4eHR5E0uO2BRCJh3rx5/Pbbb09lvOLA6NGjGT9+PK1bt34q4/2/\nJJwAkyZNYtKkSQ6dm56ebrcrvqiQSuSM99UY/6+s6MbOtI3GjMOiioKXBEICxiKVKjl9azTZaXc4\nlTYSdfUQaqa2dai/+NSjeKksl7S0BHvryXvKgoyWwijNcbw11UiquZKY63omTpzIxIkTqVq1KgcO\nHBA/8xkzuHbtGh4eHqSmpuLi4kLLli3p2bMnly5donXr1mg0Glq1asXUqVNp3749kZGRRsJZr149\nzp8/T0xMDKmpqWYP9NjYWKuZpO7u7gwaNMi4c7d0zU3fd179TtP21sh5cUtW+ciq0cr1a4Ib59/5\ny+WueMir4vGEIdxhj019FodFE6yXn9xa/XUy74mW7p7Re4pENvOOl5d0SpQi4QSoGbCMXS//l5Ax\nA/ngnXLGNoJGy+7Ja8k5L4ZI5aTfp3qESPKrRzhzKuZTMrd+C4DXuE0oarQtdC7FEbsJoL5+GHlA\n4RVfTJG+5RvjfJVN+uI5TCy5Z2uspSnZzHvOLSsKHo6STb1eYH1aN+5qdgDg7OxMdHQ0Xl5eCILA\n8ePHn0vCqdfrUSgURje6Vqtl+fLl/P7776SkpHDnzh2ja9XNzY1OnToxaNAgY1LPyJEj6d69e75+\n58yZQ1hYGC1btjSz7r777rt4eXnx+eefG8lncHAwSUlJjBw5Er1eT4cOHejTp4/F+fr6+pKQkECl\nSpVo3749a9eu5dVXX+Xjjz/m5MmTAMaYeoVCQWZmppFQdu7cmeXLl6PX6+nSpQv16tUrro/RZnzw\nwQd88MEHhTd8TmDIVH9a+H9LOIuCa9euMXjw4ALb2Jut6IiVso1qFh9/PLZEd1RFlaYp59MVAO+A\nLqRGHSLrzAao0tb4ekGLielrUSE6Ik/uxL/JCKJUuV+QwuZn6fW8xyzr672Mv9PLEDsFvGB/xsec\nyp7OzZs3LSYRBQYG4u7unq8SUbdu3bhz5w6tWrVCIpGYSS6dP59buWfr1q0EBoolNyHXtWQLrG02\nsoUkwv1ySYI17U3T92/6t+nnZCt5Nz3HEet4VIgOLMyxKFqaBdUzt4YtVbuT9fAxAG+kHUVqklVb\nXG50U0icndE/uebe9asTHNqdMu0a8YN7ZY4eh9SN98jY+gHau2dRulfGN7ALLp7VjEl457a0JTNW\nLD3qO+0iMr+ggoazGZZiPJPn9kJ9eY+Zyz77+GrcQufZ1Kc+J5O40bmVebwn7aZOQhuIMG9n+v23\n917S5wm9KUqC0MXs39iZkZsoevjwYVq0aGH8v0mTJqxfv97muT0t6HQ6I3F0cnJi586dyGQy+vTp\nw5w5c+jRo4fRJW0NwcHBXLhwwUimN2/ezD///ENGRobRBWsaSuDq6sqYMWMIDw/H1dWVL774Ag8P\nD1QqldGj+NZbb9GmTRv8/PIveOfPnycgIIA2bdqgVCpp0qQJ9+/fN2ZRm9ZM79+/P0uWLDGKl0sk\nEkJDQ9FoNKxcuZKWLVva5ZH6H0oe/yOcdiI6OtpiKahr164hlUqpVs2yll5JYH6iJ4sWvczq1at5\n8803AXN9xaJaO4tDB9HNuSIVG3/N3ZNTUMh9kcscl6bQ5iSiVBVvxritqKR4Fb+2F9ixY0e+XeHM\nmTMZP348EomE06dPc+7cOaPsyMiRIwkKCjK6ykuXLo1er6dBgwZm9Xfv3btnNp4hKz0tLY2QkBBW\nrlxJuXKitUutVgOifNOtW7eIi4ujR48eDNgtML7lfho4f0i68IjFyUF0Ui2mrvMwY7+m90S4H1DL\nOpnMu8ibWkOtWUZNX3OIbFqAI2TTEZIJoBcENgV2Rp0gJkG9kX7MrpjNJsoHNiUOmVo5NQ/uI2Rl\nQnb2k3m7U3vqcECM5Uz4tAm66Gu4etWgVvc9RL/WEC1wAwGJJIdDS3Itr6V+jEWicLH5/dqTNCRk\npyN1dsOl/QjUl/eQ8n0fnBr2RO5dHpl/DaRSKSkL30HmVzFfhrgBORd3kTJPlHeTK7x4OfQR0oRc\n178lYmgP2XxwYTaJ93fg6pWbcOUo2UzS3eSX5Nzn+ZQpU/jqq6/ytXN2dkaj0eQ7/iyRlZVltPzV\nrVuXDh060KhRI0C0ZE6dOtWmfrp3786mTZuoW7cukZGRbN26lZ9//rnAc4KCgli0aBH3798nPDwc\nFxcXM/e3t7c3CQkJFgln+fLl2blzJ507dyYnJ4dDhw4ZM9Rr1apljAsFaNGiBcuWLcvXh5OTE8HB\nwezbt+9/hPM5w/8Ip53IysoiMTGRn376iWHDhhmJxJ49e/D390ej0VCrVq1CerEMe0iiwVL1/vvv\nExoaSs+ePY1B2c+bFlzGjZ0AaHUZaHWWS4xai8ks6ZrYtiLQqQ2frmlAbGwsERERnD17lpUrVxIV\nFcVHH33EvXv3mDdvHg0bNqRhw4YMHTrUapEAgKZNm7Ju3TouXLhAQkICR44coWrVqmzfvp3Dhw+T\nlpbG48eihS06Ohp/f39GjhxJzZo1LVbWMF1APKUVSdKJcYdHs76ghnIgt9Vbua3eSjf35UX+LAqz\nfDps2cwDR62ajpLNrJh4/qr+OkKOSB7eyDjuUCJIXlJaEAHV3L/Hw65i/JQqqBz6Ca2RSCRGMqo+\nMxUhWZSxytI+5tLx/vj1mIVe8jpCWjyHfhElZJRuQXjMvmCzHIugzkZIiUFIjkafchNdQjy6hHiE\ntDSxFrlEgjZGibxMNll7pei1GtLXrgTA+7Oj+H53lYSPa6A5vQkN4Df/EQA5p8XEsMydcyn102Mk\nTuIzSa/XkzzzVTQ3xCTCKi3m41/TPJ67sJhsW5D8aB8p0ftJid5PQ7eJuLlYt/Ras2jq9GpWpDTl\nse4cIBKoq1evGsvTWsLzJIOTlJSEj48PAD179mTFihUMHjzYIXHvGjVqMH/+fARBIDw8nJUrVxbY\n3vRzCAwMZNGiRTx69MhIGgHmzZvHxIkTycjIoEKFCowePZovvvgCuVzOtGnT6NSpEzqdjmnTpvHH\nH3/g7u5OWFgYH3zwAW3btrVp3jqdjmHDhjFkyBAzObn/4dnif4TTTlSqVIlKlSqRlpbGsmXLjJqc\nPj4+NG/enCVLljhMOB3FV199xfjx4/npp4KFuu2FI2UuDTAlkG1qbyc96y47ztTmZtSPeKrqUqWc\nufBwXvd5QTC4EZ82vgx2Z0a8O6VLl+bNN9/kP//5D926dePIkSPMnz8fyYqvUUjcjYS/oEVIKpUa\n7yWAoUOHAmJ1otTUVMLDw3n8+DHly5dHpVIhlUoLvL5eXl54enoSGxvLkaxPyRREspouPOL7xFyr\ncmvddwWWQ7XFcpn3uLU+bEFxWjVBJJt/uojJfN2ubsStovl7PfzGRwQPeo3y3c2D5HVqDVsqdwNB\ndMX2yzxR4iSi7JnlREz8EamXN0JyEhn3olnj2pTSC36n3WDIin7MlgUGQWYJ+vQEdOmQ8sfP4HyU\n7D0LAHD1qom+fgvSV35kPoBh/k8SQOTlcgAJ2mgFyORIVN7I3EujqKBCWa8B8rLlyLpeFfeWKcZ4\nTaeyJ8k8osepchNyLj5Cc+0ASV80x/29X3B9bQpZx1ahj7tD/Afl8ZrwF6UWJZMQXg0h9TFxI0vj\n/clepG5+JHySG9/48sD7KFzLmk3V3phh0/sm4d5WLu/qQ/naH1Kn61bObGhCesI5/jpZiT7Nk3CS\ne6DX6/nzkJyGVeZT1X+kVbIZkTWDg5m5Ej7nz59/LmMzreHBgwdG3csxY8Ywd+5c3n77bWbPnl2k\nfseOHcunn36aL9HIFFqt1mKJ3vLlyxs9cCBKMxnmc/nyZb744guuXbvG5MmTCQ0NZdWqVUilUqZM\nmUKZMmV47733cHV1pXbt2jx48IAyZcoQFxdHqVKlqF69OseOHTNWbzMgKSmJo0ePcvjwYTOr6P/w\nbPE/wukg3N3dadiwIfv376dOnTrs2LEDiUTC5MmTi9SvI67woKAgypcvz549e2jfvn2hdbLtgaOW\nKtMF5HFNBc6nMpBKFAh6NadvjULWuBPBDwMLzDY3XVTUmTHIFPYL9dsDW+MUDcHwnp6eHD58GK1W\nS3JyMt9VFy0IRfn8DW6v//73v3zyySc8fvyYGzdusGrVKt5//31SU1MtnpecnMzs2bNZv34927Zt\nA8BXWgu9XiBRf9XYblFyAG1cZ/KS82jkEqVZH9auteEzKcoGJC8K2jAkl9ZRkC2msFhNz9pVSLl0\ni201euFc1peuZ9eg8HJH0Ol49NdBHv11EIBOx5bhXT+EtNsP2F5bTGKQyGX0Sztmuf9ijN3Mjkvi\nWOgUAPy+mY3Mx4fYEYMBeBw2mD/DwDzvJTcmUapyI3OXSDZVofNQtR5c4FiWPq+8VYUyjnrjXCcJ\n6U2pmZs9spaoJOBU5WW8Ju4k5+R6Upe8S9rPQ5EFvYRLi7eRufuStmwMybO649zibfxm3SJjx1wy\n1n9K0je5Vdn8gvtQs0Ou+KujiWl57x0v/3YAPLo0j8ykqzToHcGt9b2JSvyL9Ue9ea3pPVyVYoGM\n07c+QHh4nQCVueZurPYsy1JyC5bMnTvXGBv4ouDSpUvUqSMmVU6fPp3w8HAmTZrEkCFD8pWOtAcx\nMTF07NixUOI9ZcoUxo0bZ1fftWrVYs6cOdy8eZO33norXyyswTrZvHlzwsPDuXTpEkFBQbz55pvs\n2bOH4cOHM2nSpHyEs1KlSsyfP5/169eTnJxs15z+h5LD8y0c9pyjXr16xMXF8cMPPzBq1CiSk5NL\n1Hw/Iz73Jy+mTJnCkiVLEATBrD72s3SvR4XojItDdqOXaFtHFDTX67U8vrXa6jmWkHDvL7wDOpm1\nKU4rp2ncYUGEytJmQC6X4+fnV+D1sRevvvoqZ8+e5ejRo/Tv359du3YxY8YM4+t5xYzXrFlDy5Yt\nn8SSiUyl29sNSRCu0Mj5I6OcFsCBzI/Y5lsHvd76+zT9HCwlWZmSz4LaWkJBVs2CLJuq5klWyWbD\ngIec/2QecUfP0+XkSjqdEEMHsmMS2FiuPfu7jQZBT6+YvbiUEysE7WoWyp8uTYxk08nTzSrZLC5o\n0jNJPHOVowNzN6bxn4zn8UcfUG71FhT1Xspt/IRjOlWqDJLcR3XmLnFD4f2fgwWSzYI+L9M2ht8G\nEqrXaYkZ/g7a6CgCj4iJbZpbx4kb7omiRlt8Z4ryOrp7Z8nc9CXKRr3x/fYSANlHlvN4mAcuLUPN\nxqnXY3+Ryabp88QUMic3Wg4RN2JJj3ZzfHkgLWuux9f9ZQC2nAgiKf0cvZqJsjpns3/gzxSRCKv1\nGSxILGckm+XkTdFoNHaTTaVSadG697Rw6NAhI9n84osvCA8PZ/r06VSoUIH27dsXqe/Vq1ebJetY\nws2bN8nOznbYGly1alXq1Klj1PA0wMnJCbVazY4dO7h48aLx2hjql7u6uqJWqzl8+DDjx48nLCyM\nsLAwdu/ejUqlKtFylv+D/fifhbOI6Nu3L9988w2XLl0yJnUUFZYqEdlCYhQ7JjF58mS+++67YplH\nUVyjlhYGJ7krLp7VyEq5QWTEZGK9l1O3wg6iQsR4NWuL0LUm2ciPXKRMyGCbx7dnQbPXYpeXdNpL\nMJOTk23ShpNIJFSsWJFly5Zx8eJFGjRogEqlYsGCBWRkZKDVatFqtca44qpVq7JixQoSExM5duyY\nMZP2ZNYMJvhOY3/mBCTIOJv9Izdv3iTTO46oEB/8r8sK/AysZa5ba1tQG0dc6LbUOtdm6bj18wau\nzVmO/6utqPf1aPpnRRC1/RCH+kwgdm8Eaz2aU3Vkf3rc/ouI97/k7rJtxn5cg8rR45r1GsjFZd38\np/W7pF4Vxc1fmjWBwDc6sTmwM/r0NKLffA2PoSNQdXwVqZs7CZ+Lsm2aO7eR+vqhz8lBn54GgN+c\nSKRuvvn6tzUBqKB2QnI0WUcO8KBDM9wHL6D0klSS5/REfWUv8eMr4TFiGaUWpxA/vjL69Hjix1TA\nc+xG0Z3+ST2EhHvEjxO1YSVKFS0GxiKV5bpii+I+N8D0fqke4YxU7kyr97I59LMz6qwY1hxWUqVc\nGNXKj+bYtbf5P/bOOyqK8+/iny303kRsYMUeK0aNXWMJaEzsLUbFxJYYuzEmPzX2XmLXaOzGGLvG\nGnsEwa7YQUAUkd7Z8v6x7rK77MIuLCV5ved4Ds4888yzbebOt9z7V3BDPrM7xljndJbFWhIuOce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7iiQeFVyGaszpXHvEZrRWrVSBjqzV7QtetyVgL9FpGxsbHY2uqJwBUB9GmITnQFO1FZ7ChL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\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VspZUyku9evWqfImQklDcXBX96e/cuUPfvn0B+PPPP8ttXolEwujRo2nbtm2Z+wYrusC8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+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "%matplotlib inline\n",
+ "from __future__ import (absolute_import, division, print_function, unicode_literals)\n",
+ "\n",
+ "from netCDF4 import Dataset \n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "from matplotlib.cm import get_cmap\n",
+ "\n",
+ "from wrf import getvar, interplevel, to_np, get_basemap, latlon_coords\n",
+ "\n",
+ "ncfile = Dataset(\"/Users/ladwig/Documents/wrf_files/wrfout_d01_2016-10-07_00_00_00\")\n",
+ "\n",
+ "# Extract the pressure, geopotential height, and wind variables\n",
+ "p = getvar(ncfile, \"pressure\")\n",
+ "z = getvar(ncfile, \"z\", units=\"dm\")\n",
+ "ua = getvar(ncfile, \"ua\", units=\"kt\")\n",
+ "va = getvar(ncfile, \"va\", units=\"kt\")\n",
+ "wspd = getvar(ncfile, \"wspd_wdir\", units=\"kts\")[0,:]\n",
+ "\n",
+ "# Interpolate geopotential height, u, and v winds to 500 hPa \n",
+ "ht_500 = interplevel(z, p, 500)\n",
+ "u_500 = interplevel(ua, p, 500)\n",
+ "v_500 = interplevel(va, p, 500)\n",
+ "wspd_500 = interplevel(wspd, p, 500)\n",
+ "\n",
+ "# Get the lat/lon coordinates\n",
+ "lats, lons = latlon_coords(ht_500)\n",
+ "\n",
+ "# Get the map projection information\n",
+ "bm = get_basemap(ht_500)\n",
+ "\n",
+ "# Create the figure\n",
+ "fig = plt.figure(figsize=(8,8))\n",
+ "ax = plt.axes([0.1,0.1,0.8,0.8])\n",
+ "\n",
+ "# Get the x and y coordinates\n",
+ "x, y = bm(to_np(lons), to_np(lats))\n",
+ "\n",
+ "# Create the 500 hPa geopotential height contours\n",
+ "levels = np.arange(520., 580., 6.)\n",
+ "contours = bm.contour(x, y, to_np(ht_500), levels=levels, colors=\"black\")\n",
+ "plt.clabel(contours, inline=1, fontsize=10, fmt=\"%i\")\n",
+ "\n",
+ "# Wind Speed contours\n",
+ "levels = [25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 110, 120]\n",
+ "wspd_contours = bm.contourf(x, y, to_np(wspd_500), levels=levels,\n",
+ " cmap=get_cmap(\"rainbow\"))\n",
+ "plt.colorbar(wspd_contours, ax=ax, orientation=\"horizontal\", pad=.05)\n",
+ "\n",
+ "bm.drawcoastlines(linewidth=0.25)\n",
+ "bm.drawstates(linewidth=0.25)\n",
+ "bm.drawcountries(linewidth=0.25)\n",
+ "\n",
+ "# Add the 500 hPa wind barbs, only plotting every 125th data point.\n",
+ "bm.barbs(x[::125,::125], y[::125,::125], to_np(u_500[::125, ::125]), \n",
+ " to_np(v_500[::125, ::125]), length=6)\n",
+ "\n",
+ "plt.title(\"500 MB Height (dm), Wind Speed (kt), Barbs (kt)\")\n",
+ "\n",
+ "plt.show()"
]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/Users/ladwig/miniconda2/lib/python2.7/site-packages/mpl_toolkits/basemap/__init__.py:1662: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
+ " elif fill_color == 'none' or fill_color == 'None':\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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JMdsbi8hLIvK52T7YbJ9m2vopcJ+IDDbnWGE+l3aml+wS4O/mej1EZI6IDDXnaCki35mv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\np0pYG+pV4+otTMkE8l4HuHa2HBm3ANYLrsSZmQ3QoYd+F2kT0qbkpIT0I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+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "%matplotlib inline\n",
+ "\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "from matplotlib.cm import get_cmap\n",
+ "from netCDF4 import Dataset\n",
+ "\n",
+ "from wrf import getvar, to_np, vertcross, smooth2d, CoordPair, get_basemap, latlon_coords\n",
+ "\n",
+ "# Open the output NetCDF file with PyNIO\n",
+ "filename = \"/Users/ladwig/Documents/wrf_files/wrfout_d01_2016-10-07_00_00_00\"\n",
+ "ncfile = Dataset(filename)\n",
+ "\n",
+ "# Get the WRF variables\n",
+ "slp = getvar(ncfile, \"slp\")\n",
+ "smooth_slp = smooth2d(slp, 3)\n",
+ "ctt = getvar(ncfile, \"ctt\")\n",
+ "z = getvar(ncfile, \"z\", timeidx=0)\n",
+ "dbz = getvar(ncfile, \"dbz\", timeidx=0)\n",
+ "Z = 10**(dbz/10.)\n",
+ "wspd = getvar(ncfile, \"wspd_wdir\", units=\"kt\")[0,:]\n",
+ "\n",
+ "# Set the start point and end point for the cross section\n",
+ "start_point = CoordPair(lat=26.76, lon=-80.0)\n",
+ "end_point = CoordPair(lat=26.76, lon=-77.8)\n",
+ "\n",
+ "# Compute the vertical cross-section interpolation. Also, include the lat/lon points along the cross-section.\n",
+ "z_cross = vertcross(Z, z, wrfin=ncfile, start_point=start_point, end_point=end_point, latlon=True, meta=True)\n",
+ "wspd_cross = vertcross(wspd, z, wrfin=ncfile, start_point=start_point, end_point=end_point, latlon=True, meta=True)\n",
+ "dbz_cross = 10.0 * np.log10(z_cross)\n",
+ "\n",
+ "# Extract the latitude and longitude coordinate arrays as regular numpy array instead of xarray.DataArray\\\\\n",
+ "lats, lons = latlon_coords(slp)\n",
+ "\n",
+ "# Create the figure which will have 3 subplots\n",
+ "fig = plt.figure(figsize=(8,5))\n",
+ "ax_ctt = fig.add_subplot(1,2,1)\n",
+ "ax_wspd = fig.add_subplot(2,2,2)\n",
+ "ax_dbz = fig.add_subplot(2,2,4)\n",
+ "\n",
+ "# Get the cartopy projection class\n",
+ "bm = get_basemap(slp)\n",
+ "\n",
+ "# Get the x, y values\n",
+ "x, y = bm(to_np(lons), to_np(lats))\n",
+ "\n",
+ "\n",
+ "# Make the pressure contours.\n",
+ "contour_levels = [960, 965, 970, 975, 980, 990]\n",
+ "c1 = bm.contour(x, y, to_np(smooth_slp), levels=contour_levels, colors=\"white\", \n",
+ " zorder=3, linewidths=1.0, ax=ax_ctt)\n",
+ "\n",
+ "# Create the filled cloud top temperature contours\n",
+ "contour_levels = [-80.0, -70.0, -60, -50, -40, -30, -20, -10, 0, 10]\n",
+ "ctt_contours = bm.contourf(x, y, to_np(ctt), contour_levels, cmap=get_cmap(\"Greys\"),\n",
+ " zorder=2, ax=ax_ctt)\n",
+ "\n",
+ "point_x, point_y = bm([start_point.lon, end_point.lon], [start_point.lat, end_point.lat])\n",
+ "bm.plot([point_x[0], point_x[1]], [point_y[0], point_y[1]], color=\"yellow\", \n",
+ " marker=\"o\", zorder=3, ax=ax_ctt)\n",
+ "\n",
+ "# Create the label bar for cloud top temperature\n",
+ "cb_ctt = fig.colorbar(ctt_contours, ax=ax_ctt, shrink=.75)\n",
+ "cb_ctt.ax.tick_params(labelsize=5)\n",
+ "\n",
+ "# Draw the oceans, land, and states\n",
+ "bm.drawcoastlines(linewidth=0.25, ax=ax_ctt)\n",
+ "bm.drawstates(linewidth=0.25, ax=ax_ctt)\n",
+ "bm.drawcountries(linewidth=0.25, ax=ax_ctt)\n",
+ "bm.fillcontinents(color=np.array([ 0.9375 , 0.9375 , 0.859375]), \n",
+ " ax=ax_ctt, lake_color=np.array([ 0.59375 , 0.71484375, 0.8828125 ]))\n",
+ "bm.drawmapboundary(fill_color=np.array([ 0.59375 , 0.71484375, 0.8828125 ]), ax=ax_ctt)\n",
+ "\n",
+ "# Draw Parallels\n",
+ "parallels = np.arange(np.amin(lats)-1.0, 30., 2.5)\n",
+ "bm.drawparallels(parallels, ax=ax_ctt)\n",
+ "\n",
+ "merids = np.arange(-85.0, -72.0, 2.5)\n",
+ "bm.drawmeridians(merids, ax=ax_ctt)\n",
+ "\n",
+ "# Crop the image\n",
+ "\n",
+ "x_start, y_start = bm(-85.0, np.amin(lats)-1.0)\n",
+ "x_end, y_end = bm(-72.0, 30.0)\n",
+ "\n",
+ "ax_ctt.set_xlim([x_start, x_end])\n",
+ "ax_ctt.set_ylim([y_start, y_end])\n",
+ "\n",
+ "\n",
+ "## Plot the cross sections\n",
+ "\n",
+ "# Make the contour plot for wspd\n",
+ "wspd_contours = ax_wspd.contourf(to_np(wspd_cross))\n",
+ "# Add the color bar\n",
+ "cb_wspd = fig.colorbar(wspd_contours, ax=ax_wspd)\n",
+ "cb_wspd.ax.tick_params(labelsize=5)\n",
+ "\n",
+ "# Make the contour plot for dbz\n",
+ "levels = [5 + 5*n for n in range(15)]\n",
+ "dbz_contours = ax_dbz.contourf(to_np(dbz_cross), levels=levels)\n",
+ "cb_dbz = fig.colorbar(dbz_contours, ax=ax_dbz)\n",
+ "cb_dbz.ax.tick_params(labelsize=5)\n",
+ "\n",
+ "# Set the x-ticks to use latitude and longitude labels.\n",
+ "coord_pairs = to_np(dbz_cross.coords[\"xy_loc\"])\n",
+ "x_ticks = np.arange(coord_pairs.shape[0])\n",
+ "x_labels = [pair.latlon_str() for pair in to_np(coord_pairs)]\n",
+ "ax_wspd.set_xticks(x_ticks[::20])\n",
+ "ax_wspd.set_xticklabels([], rotation=45)\n",
+ "ax_dbz.set_xticks(x_ticks[::20])\n",
+ "ax_dbz.set_xticklabels(x_labels[::20], rotation=45, fontsize=4) \n",
+ "\n",
+ "\n",
+ "# Set the y-ticks to be height.\n",
+ "vert_vals = to_np(dbz_cross.coords[\"vertical\"])\n",
+ "v_ticks = np.arange(vert_vals.shape[0])\n",
+ "ax_wspd.set_yticks(v_ticks[::20])\n",
+ "ax_wspd.set_yticklabels(vert_vals[::20], fontsize=4) \n",
+ "ax_dbz.set_yticks(v_ticks[::20])\n",
+ "ax_dbz.set_yticklabels(vert_vals[::20], fontsize=4) \n",
+ "\n",
+ "# Set the x-axis and y-axis labels\n",
+ "ax_dbz.set_xlabel(\"Latitude, Longitude\", fontsize=5)\n",
+ "ax_wspd.set_ylabel(\"Height (m)\", fontsize=5)\n",
+ "ax_dbz.set_ylabel(\"Height (m)\", fontsize=5)\n",
+ "\n",
+ "# Add a title\n",
+ "ax_ctt.set_title(\"Cloud Top Temperature (degC)\", {\"fontsize\" : 7})\n",
+ "ax_wspd.set_title(\"Cross-Section of Wind Speed (kt)\", {\"fontsize\" : 7})\n",
+ "ax_dbz.set_title(\"Cross-Section of Reflectivity (dBZ)\", {\"fontsize\" : 7})\n",
+ "\n",
+ "#plt.savefig(\"/Users/ladwig/Documents/workspace/wrf_python/doc/source/_static/images/matthew.png\",\n",
+ "# transparent=True, bbox_inches=\"tight\")\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "ename": "TypeError",
+ "evalue": "latlon_coords() got an unexpected keyword argument 'to_np'",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
+ "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 27\u001b[0m \u001b[0mresources\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmpRightCornerLonF\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m75.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 29\u001b[0;31m \u001b[0mlats\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlons\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlatlon_coords\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mctt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mto_np\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 30\u001b[0m \u001b[0mresources\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msfYArray\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlats\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 31\u001b[0m \u001b[0mresources\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msfXArray\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlons\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;31mTypeError\u001b[0m: latlon_coords() got an unexpected keyword argument 'to_np'"
+ ]
+ }
+ ],
+ "source": [
+ "# SLP\n",
+ "from __future__ import (absolute_import, division, print_function, unicode_literals)\n",
+ " \n",
+ "import Ngl\n",
+ "import Nio\n",
+ "import numpy as np\n",
+ "\n",
+ "\n",
+ "from wrf import to_np, getvar, smooth2d, get_pyngl, latlon_coords\n",
+ "\n",
+ "ncfile = Nio.open_file(b\"/Users/ladwig/Documents/wrf_files/wrfout_d01_2016-10-07_00_00_00.nc\")\n",
+ "\n",
+ "# Get the sea level pressure\n",
+ "ctt = getvar(ncfile, \"ctt\")\n",
+ "\n",
+ "wks = Ngl.open_wks(b\"png\", b\"test\")\n",
+ "\n",
+ "# Get the map projection\n",
+ "resources = get_pyngl(ctt)\n",
+ "\n",
+ "# This needs to be False if you want to crop\n",
+ "resources.tfDoNDCOverlay = False\n",
+ "\n",
+ "resources.mpLeftCornerLatF = 30.0\n",
+ "resources.mpRightCornerLatF = np.amin(to_np(ctt.coords[\"XLAT\"]))\n",
+ "resources.mpLeftCornerLonF = -85.\n",
+ "resources.mpRightCornerLonF = -75.\n",
+ "\n",
+ "lats, lons = latlon_coords(ctt, as_np=True)\n",
+ "resources.sfYArray = lats\n",
+ "resources.sfXArray = lons\n",
+ "\n",
+ "resources.cnLevelSelectionMode = b\"ExplicitLevels\" # Define your own\n",
+ "resources.cnLevels = np.arange(-80.,30.,10.)\n",
+ "resources.cnFillOn = True\n",
+ "resources.cnFillMode = b\"RasterFill\"\n",
+ "#resources.cnFillPalette = Ngl.read_colormap_file(b\"MPL_Greys\")\n",
+ "\n",
+ "\n",
+ "Ngl.contour_map(wks, to_np(ctt), resources)\n",
+ "\n",
+ "Ngl.end()\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": []
}
],
"metadata": {
diff --git a/test/ipynb/WRF_Workshop_Demo.ipynb b/test/ipynb/WRF_Workshop_Demo.ipynb
index 601b1c6..9e5a51c 100644
--- a/test/ipynb/WRF_Workshop_Demo.ipynb
+++ b/test/ipynb/WRF_Workshop_Demo.ipynb
@@ -47,7 +47,7 @@
"* __Always uses NaN to represent missing/fill values__, rather than the MaskedArray type familiar to numpy users.\n",
"\n",
"\n",
- "`npvalues` method:\n",
+ "`to_np` method:\n",
"------------------\n",
"1. If no missing/fill values, simply extracts the numpy array using the `DataArray.values` property.\n",
"2. If missing/fill values are found, converts the NaN values to the fill values and returns a MaskedArray."
@@ -103,7 +103,7 @@
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from Nio import open_file\n",
- "from wrf import getvar, npvalues\n",
+ "from wrf import getvar, to_np\n",
"\n",
"# Open the output NetCDF file with PyNIO\n",
"filename = \"wrfout_d01_2010-06-13_21-00-00\"\n",
@@ -123,8 +123,8 @@
"\n",
"print (terrainx)\n",
"\n",
- "# To extract the numpy array, use the npvalues function\n",
- "terrain_numpy = npvalues(terrainx)\n",
+ "# To extract the numpy array, use the to_np function\n",
+ "terrain_numpy = to_np(terrainx)\n",
"print (\"\\nExtracted numpy array:\\n\")\n",
"print (terrain_numpy)"
]
@@ -148,7 +148,7 @@
"import matplotlib.pyplot as plt\n",
"from matplotlib.cm import get_cmap\n",
"from Nio import open_file\n",
- "from wrf import getvar, npvalues\n",
+ "from wrf import getvar, to_np, get_basemap, latlon_coords\n",
"\n",
"# Open the output NetCDF file with PyNIO\n",
"filename = \"wrfout_d01_2010-06-13_21-00-00\"\n",
@@ -160,17 +160,16 @@
"# Note: can also use the 'ter' variable\n",
"terrainx = getvar(ncfile, \"HGT\", timeidx=0)\n",
"\n",
- "# Use npvalues to extract the numpy array, since matplotlib does not handle xarray.DataArray natively\n",
- "terrain_data = npvalues(terrainx)\n",
+ "# Use to_np to extract the numpy array, since matplotlib does not handle xarray.DataArray natively\n",
+ "terrain_data = to_np(terrainx)\n",
"\n",
- "# Get the lat/lon 2D coordinate arrays. Use npvalues to extract the numpy array since basemap does not\n",
+ "# Get the lat/lon 2D coordinate arrays. Use to_np to extract the numpy array since basemap does not\n",
"# handle xarray.DataArray natively.\n",
- "lons = npvalues(terrainx.coords[\"XLONG\"])\n",
- "lats = npvalues(terrainx.coords[\"XLAT\"])\n",
+ "lons = latlon_coords(terrainx, as_np=True)\n",
+ "lats = latlon_coords(terrainx, as_np=True)\n",
"\n",
"# Extract the basemap object from the projection information\n",
- "wrf_proj = terrainx.attrs[\"projection\"]\n",
- "bm = wrf_proj.basemap()\n",
+ "bm = get_basemap(terrainx)\n",
"\n",
"# Convert the lat/lon coordinates to projected x,y\n",
"x,y = bm(lons, lats)\n",
@@ -216,7 +215,7 @@
"import matplotlib.pyplot as plt\n",
"from matplotlib.cm import get_cmap\n",
"from Nio import open_file\n",
- "from wrf import getvar, npvalues\n",
+ "from wrf import getvar, to_np, get_basemap, latlon_coords\n",
"\n",
"# Open the output NetCDF file with PyNIO\n",
"filename = \"wrfout_d01_2010-06-13_21-00-00\"\n",
@@ -231,17 +230,16 @@
"# Dewpoint is a 3D variable, so let's just use the lowest level\n",
"dewpointx_sfc = dewpointx[0,:,:]\n",
"\n",
- "# Use npvalues to extract the numpy array, since matplotlib does not handle xarray.DataArray natively\n",
- "dewpoint_ndarray = npvalues(dewpointx_sfc)\n",
+ "# Use to_np to extract the numpy array, since matplotlib does not handle xarray.DataArray natively\n",
+ "dewpoint_ndarray = to_np(dewpointx_sfc)\n",
"\n",
- "# Get the lat/lon 2D coordinate arrays. Use npvalues to extract the numpy array since basemap does not\n",
+ "# Get the lat/lon 2D coordinate arrays. Use to_np to extract the numpy array since basemap does not\n",
"# handle xarray.DataArray natively.\n",
- "lons = npvalues(dewpointx_sfc.coords[\"XLONG\"])\n",
- "lats = npvalues(dewpointx_sfc.coords[\"XLAT\"])\n",
+ "lons = latlon_coords(dewpointx_sfc, as_np=True)\n",
+ "lats = latlon_coords(dewpointx_sfc, as_np=True)\n",
"\n",
"# Extract the basemap object from the projection information\n",
- "wrf_proj = dewpointx_sfc.attrs[\"projection\"]\n",
- "bm = wrf_proj.basemap()\n",
+ "bm = get_basemap(dewpointx_sfc)\n",
"\n",
"# Convert the lat/lon coordinates to projected x,y\n",
"x,y = bm(lons, lats)\n",
@@ -288,7 +286,7 @@
"import matplotlib.pyplot as plt\n",
"from matplotlib.cm import get_cmap\n",
"from Nio import open_file\n",
- "from wrf import getvar, vertcross, npvalues\n",
+ "from wrf import getvar, vertcross, to_np\n",
"\n",
"# Open the output NetCDF file with PyNIO\n",
"filename = \"wrfout_d01_2010-06-13_21-00-00\"\n",
@@ -309,7 +307,7 @@
"p_vertx = vertcross(p, z, pivot_point=pivot_point, angle=angle, latlon=True)\n",
"\n",
"# Extract the numpy array\n",
- "p_vert_array = npvalues(p_vertx)\n",
+ "p_vert_array = to_np(p_vertx)\n",
"\n",
"# Create the figure\n",
"fig = plt.figure(figsize=(20,8))\n",
@@ -325,13 +323,13 @@
"plt.colorbar(ax=ax)\n",
"\n",
"# Set the x-ticks to use latitude and longitude labels.\n",
- "coord_pairs = npvalues(p_vertx.coords[\"xy_loc\"])\n",
+ "coord_pairs = to_np(p_vertx.coords[\"xy_loc\"])\n",
"x_ticks = np.arange(coord_pairs.shape[0])\n",
- "x_labels = [pair.latlon_str() for pair in npvalues(coord_pairs)]\n",
+ "x_labels = [pair.latlon_str() for pair in to_np(coord_pairs)]\n",
"plt.xticks(x_ticks[::100], x_labels[::100]) # Only use every 100th tick.\n",
"\n",
"# Set the y-ticks to be height.\n",
- "vert_vals = npvalues(p_vertx.coords[\"vertical\"])\n",
+ "vert_vals = to_np(p_vertx.coords[\"vertical\"])\n",
"v_ticks = np.arange(vert_vals.shape[0])\n",
"plt.yticks(v_ticks[::10], vert_vals[::10]) # Only use every 10th tick.\n",
"\n",
@@ -364,7 +362,7 @@
"import matplotlib.pyplot as plt\n",
"from matplotlib.cm import get_cmap\n",
"from Nio import open_file\n",
- "from wrf import getvar, interplevel, npvalues\n",
+ "from wrf import getvar, interplevel, to_np, get_basemap, latlon_coords\n",
"\n",
"# Open the output NetCDF file with PyNIO\n",
"filename = \"wrfout_d01_2010-06-13_21-00-00\"\n",
@@ -385,12 +383,11 @@
"wspd_500 = interplevel(wspd, p, 500)\n",
"\n",
"# Get the projection\n",
- "wrf_proj = p.attrs[\"projection\"]\n",
- "bm = wrf_proj.basemap()\n",
+ "bm = get_basemap(p)\n",
"\n",
- "# Basemap needs numpy arrays, extract with npvalues\n",
- "lons = npvalues(ht_500.coords[\"XLONG\"])\n",
- "lats = npvalues(ht_500.coords[\"XLAT\"])\n",
+ "# Basemap needs numpy arrays, extract with to_np\n",
+ "lons = latlon_coords(ht_500, as_np=True)\n",
+ "lats = latlon_coords(ht_500, as_np=True)\n",
"\n",
"# Convert the lat/lon coordinates to projected x,y\n",
"x,y = bm(lons, lats)\n",
@@ -404,17 +401,17 @@
"bm.drawstates()\n",
"\n",
"# Make the 500 hPa height contours\n",
- "ht_contours = bm.contour(x, y, npvalues(ht_500), 10, linewidths=2.0, colors=\"black\")\n",
+ "ht_contours = bm.contour(x, y, to_np(ht_500), 10, linewidths=2.0, colors=\"black\")\n",
"\n",
"# Use contour labels for height\n",
"plt.clabel(ht_contours, inline=True, fontsize=12, fmt=\"%i\")\n",
"\n",
"# Make the wind speed filled contours\n",
"levels = np.arange(40, 120, 10)\n",
- "bm.contourf(x, y, npvalues(wspd_500), levels=levels, extend=\"max\", cmap=get_cmap(\"rainbow\"))\n",
+ "bm.contourf(x, y, to_np(wspd_500), levels=levels, extend=\"max\", cmap=get_cmap(\"rainbow\"))\n",
"\n",
"# Make the wind barbs. Only use every 50th in each direction.\n",
- "bm.barbs(x[::50,::50], y[::50,::50], npvalues(u_500[::50, ::50]), npvalues(v_500[::50, ::50]))\n",
+ "bm.barbs(x[::50,::50], y[::50,::50], to_np(u_500[::50, ::50]), to_np(v_500[::50, ::50]))\n",
"\n",
"# Make the color bar\n",
"plt.colorbar(ax=ax, shrink=.7)\n",
diff --git a/test/ipynb/WRF_python_demo.ipynb b/test/ipynb/WRF_python_demo.ipynb
index 520ea13..50d39e4 100644
--- a/test/ipynb/WRF_python_demo.ipynb
+++ b/test/ipynb/WRF_python_demo.ipynb
@@ -151,8 +151,10 @@
"outputs": [],
"source": [
"from wrf import ALL_TIMES\n",
+ "import numpy as np\n",
"wrflist = [ncfile, ncfile, ncfile]\n",
"p_cat = getvar(wrflist, \"P\", timeidx=ALL_TIMES, method=\"cat\")\n",
+ "\n",
"print(p_cat)\n",
"del p_cat"
]
@@ -324,7 +326,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "(Note all of the NaNs in the above routines which produce missing values (e.g. cape_2d). xarray always converts all masked_array missing values to NaN in order to work with pandas. To get back the original missing values in a numpy masked_array, you need to use the 'npvalues' method from wrf.)"
+ "(Note all of the NaNs in the above routines which produce missing values (e.g. cape_2d). xarray always converts all masked_array missing values to NaN in order to work with pandas. To get back the original missing values in a numpy masked_array, you need to use the 'to_np' method from wrf.)"
]
},
{
@@ -335,8 +337,8 @@
},
"outputs": [],
"source": [
- "from wrf import npvalues\n",
- "masked_ndarray = npvalues(vard[\"slp\"])\n",
+ "from wrf import to_np\n",
+ "masked_ndarray = to_np(vard[\"slp\"])\n",
"print(type(masked_ndarray))\n",
"del masked_ndarray"
]
@@ -443,14 +445,14 @@
"#print ((lats.shape[-2]-1) / 2)\n",
"#print ((lats.shape[-1]-1) / 2)\n",
"\n",
- "#print (npvalues(lats[529, 899]))\n",
- "#print (npvalues(lons[529, 899]))\n",
+ "#print (to_np(lats[529, 899]))\n",
+ "#print (to_np(lons[529, 899]))\n",
"\n",
- "#print (npvalues(lats[529, 0]))\n",
- "#print (npvalues(lons[529, 0]))\n",
+ "#print (to_np(lats[529, 0]))\n",
+ "#print (to_np(lons[529, 0]))\n",
"\n",
- "#print (npvalues(lats[529, -1]))\n",
- "#print (npvalues(lons[529, -1]))\n",
+ "#print (to_np(lats[529, -1]))\n",
+ "#print (to_np(lons[529, -1]))\n",
"\n",
"pivot_point = CoordPair(lat=38.5, lon=-97.5) \n",
"angle = 90.0\n",
@@ -496,14 +498,14 @@
"#print ((lats.shape[-2]-1) / 2)\n",
"#print ((lats.shape[-1]-1) / 2)\n",
"\n",
- "#print (npvalues(lats[529, 899]))\n",
- "#print (npvalues(lons[529, 899]))\n",
+ "#print (to_np(lats[529, 899]))\n",
+ "#print (to_np(lons[529, 899]))\n",
"\n",
- "#print (npvalues(lats[529, 0]))\n",
- "#print (npvalues(lons[529, 0]))\n",
+ "#print (to_np(lats[529, 0]))\n",
+ "#print (to_np(lons[529, 0]))\n",
"\n",
- "#print (npvalues(lats[529, -1]))\n",
- "#print (npvalues(lons[529, -1]))\n",
+ "#print (to_np(lats[529, -1]))\n",
+ "#print (to_np(lons[529, -1]))\n",
"\n",
"pivot_point = CoordPair(lat=38.5, lon=-97.5) \n",
"angle = 90.0\n",
@@ -759,15 +761,13 @@
"import cartopy.crs as crs\n",
"from cartopy.feature import NaturalEarthFeature\n",
"\n",
- "from wrf import npvalues, getvar, smooth2d\n",
+ "from wrf import to_np, getvar, smooth2d, get_cartopy, cartopy_xlim, cartopy_ylim, latlon_coords\n",
"\n",
"slp = getvar(ncfile, \"slp\")\n",
"smooth_slp = smooth2d(slp, 3)\n",
- "lons = npvalues(slp.coords[\"XLONG\"])\n",
- "lats = npvalues(slp.coords[\"XLAT\"])\n",
+ "lats, lons = latlon_coords(slp)\n",
"\n",
- "wrf_proj = slp.attrs[\"projection\"]\n",
- "cart_proj = wrf_proj.cartopy()\n",
+ "cart_proj = get_cartopy(slp)\n",
"\n",
"fig = plt.figure(figsize=(10,10))\n",
"ax = plt.axes(projection=cart_proj)\n",
@@ -778,16 +778,16 @@
"ax.coastlines('50m', linewidth=0.8)\n",
"\n",
"# Can only get this to work if I manually transform the lat/lon points to projected space.\n",
- "xform_coords = cart_proj.transform_points(crs.PlateCarree(), npvalues(lons), npvalues(lats))\n",
+ "xform_coords = cart_proj.transform_points(crs.PlateCarree(), to_np(lons), to_np(lats))\n",
"x = xform_coords[:,:,0]\n",
"y = xform_coords[:,:,1]\n",
"\n",
- "plt.contour(x, y, npvalues(smooth_slp), 10, colors=\"black\")\n",
- "plt.contourf(x, y, npvalues(smooth_slp), 10)\n",
+ "plt.contour(x, y, to_np(smooth_slp), 10, colors=\"black\")\n",
+ "plt.contourf(x, y, to_np(smooth_slp), 10)\n",
"plt.colorbar(ax=ax, shrink=.47)\n",
"\n",
- "ax.set_xlim(wrf_proj.cartopy_xlim())\n",
- "ax.set_ylim(wrf_proj.cartopy_ylim())\n",
+ "ax.set_xlim(cartopy_xlim(slp))\n",
+ "ax.set_ylim(cartopy_ylim(slp))\n",
"ax.gridlines()\n"
]
},
@@ -808,7 +808,7 @@
"import cartopy.crs as crs\n",
"from cartopy.feature import NaturalEarthFeature\n",
"\n",
- "from wrf import npvalues, getvar, smooth2d\n",
+ "from wrf import to_np, getvar, smooth2d, get_cartopy, cartopy_xlim, cartopy_ylim, latlon_coords\n",
"\n",
"ncfile = Dataset(\"/Users/ladwig/Documents/wrf_files/wrfout_d01_2016-10-07_00_00_00\")\n",
"\n",
@@ -819,14 +819,10 @@
"smooth_slp = smooth2d(slp, 3)\n",
"\n",
"# Get the numpy array from the XLAT and XLONG coordinates\n",
- "lats = npvalues(slp.coords[\"XLAT\"])\n",
- "lons = npvalues(slp.coords[\"XLONG\"])\n",
- "\n",
- "# Get the wrf.WrfProj object\n",
- "wrf_proj = slp.attrs[\"projection\"]\n",
+ "lats, lons = latlon_coords(slp, as_np=True)\n",
"\n",
"# The cartopy() method returns a cartopy.crs projection object\n",
- "cart_proj = wrf_proj.cartopy()\n",
+ "cart_proj = get_cartopy(slp)\n",
"\n",
"# Create a figure that's 10x10\n",
"fig = plt.figure(figsize=(10,10))\n",
@@ -842,15 +838,15 @@
"# Make the contour outlines and filled contours for the smoothed sea level pressure.\n",
"# The transform keyword indicates that the lats and lons arrays are lat/lon coordinates and tells \n",
"# cartopy to transform the points in to grid space.\n",
- "plt.contour(lons, lats, npvalues(smooth_slp), 10, colors=\"black\", transform=crs.PlateCarree())\n",
- "plt.contourf(lons, lats, npvalues(smooth_slp), 10, transform=crs.PlateCarree())\n",
+ "plt.contour(lons, lats, to_np(smooth_slp), 10, colors=\"black\", transform=crs.PlateCarree())\n",
+ "plt.contourf(lons, lats, to_np(smooth_slp), 10, transform=crs.PlateCarree())\n",
"\n",
"# Add a color bar\n",
"plt.colorbar(ax=ax, shrink=.47)\n",
"\n",
"# Set the map limits\n",
- "ax.set_xlim(wrf_proj.cartopy_xlim())\n",
- "ax.set_ylim(wrf_proj.cartopy_ylim())\n",
+ "ax.set_xlim(cartopy_xlim(slp))\n",
+ "ax.set_ylim(cartopy_ylim(slp))\n",
"\n",
"# Add the gridlines\n",
"ax.gridlines()"
@@ -871,7 +867,7 @@
"import cartopy.crs as crs\n",
"from cartopy.feature import NaturalEarthFeature\n",
"\n",
- "from wrf import getvar, interplevel, npvalues\n",
+ "from wrf import getvar, interplevel, to_np, get_cartopy, cartopy_xlim, cartopy_ylim, latlon_coords\n",
"\n",
"\n",
"p = getvar(ncfile, \"pressure\")\n",
@@ -883,11 +879,9 @@
"u_500 = interplevel(ua, p, 500)\n",
"v_500 = interplevel(va, p, 500)\n",
"\n",
- "lons = ht_500.coords[\"XLONG\"]\n",
- "lats = ht_500.coords[\"XLAT\"]\n",
+ "lats, lons = latlon_coords(ht_500)\n",
"\n",
- "wrf_proj = slp.attrs[\"projection\"]\n",
- "cart_proj = wrf_proj.cartopy()\n",
+ "cart_proj = get_cartopy(slp)\n",
"\n",
"fig = plt.figure(figsize=(20,20))\n",
"ax = plt.axes([0.1,0.1,0.8,0.8], projection=cart_proj)\n",
@@ -898,16 +892,16 @@
"ax.coastlines('50m', linewidth=0.8)\n",
"\n",
"# Can only get this to work if I manually transform the lat/lon points to projected space.\n",
- "xform_coords = cart_proj.transform_points(crs.PlateCarree(), npvalues(lons), npvalues(lats))\n",
+ "xform_coords = cart_proj.transform_points(crs.PlateCarree(), to_np(lons), to_np(lats))\n",
"x = xform_coords[:,:,0]\n",
"y = xform_coords[:,:,1]\n",
"\n",
- "plt.contour(x, y, npvalues(ht_500), 20, cmap=get_cmap(\"plasma\"))\n",
- "plt.barbs(x[::50,::50], y[::50,::50], npvalues(u_500[::50, ::50]), npvalues(v_500[::50, ::50]))\n",
+ "plt.contour(x, y, to_np(ht_500), 20, cmap=get_cmap(\"plasma\"))\n",
+ "plt.barbs(x[::50,::50], y[::50,::50], to_np(u_500[::50, ::50]), to_np(v_500[::50, ::50]))\n",
"plt.colorbar(ax=ax, shrink=.7)\n",
"\n",
- "ax.set_xlim(wrf_proj.cartopy_xlim())\n",
- "ax.set_ylim(wrf_proj.cartopy_ylim())\n",
+ "ax.set_xlim(cartopy_xlim(slp))\n",
+ "ax.set_ylim(cartopy_ylim(slp))\n",
"ax.gridlines()\n",
"\n"
]
@@ -926,7 +920,7 @@
"import matplotlib.pyplot as plt\n",
"from matplotlib.cm import get_cmap\n",
"\n",
- "from wrf import getvar, vertcross, npvalues, CoordPair\n",
+ "from wrf import getvar, vertcross, to_np, CoordPair\n",
"\n",
"p = getvar(ncfile, \"pressure\")\n",
"z = getvar(ncfile, \"z\", units=\"dm\")\n",
@@ -962,13 +956,14 @@
"outputs": [],
"source": [
"import os\n",
- "from wrf import getvar\n",
+ "from wrf import getvar, ALL_TIMES\n",
"from netCDF4 import Dataset as nc\n",
"\n",
"dir = \"/Users/ladwig/Documents/wrf_files/wrf_vortex_multi\"\n",
"ncfilenames = [os.path.join(dir, x) for x in os.listdir(dir) if x.find(\"_d02_\") > 0]\n",
"ncfiles = [nc(x) for x in ncfilenames]\n",
"\n",
+ "\n",
"#print (ncfiles[0].variables[\"XLONG\"][0,0,-1], ncfiles[0].variables[\"XLONG\"][-1,0,-1])\n",
"#print (ncfiles[1].variables[\"XLONG\"][0,0,-1], ncfiles[1].variables[\"XLONG\"][-1,0,-1])\n",
"#print (ncfiles[-1].variables[\"XLONG\"][0,0,-1], ncfiles[-1].variables[\"XLONG\"][-1,0,-1])\n"
@@ -982,7 +977,7 @@
},
"outputs": [],
"source": [
- "p = getvar(ncfiles, \"P\", timeidx=3, method=\"join\", meta=True, squeeze=True)"
+ "p = getvar(ncfiles, \"ctt\", timeidx=ALL_TIMES)"
]
},
{
@@ -1110,12 +1105,12 @@
"ncfiles = [nc(x) for x in ncfilenames]\n",
"\n",
"# Pressure using pivot and angle\n",
- "from wrf import getvar, vertcross\n",
+ "from wrf import getvar, vertcross, CoordPair\n",
"\n",
"timeidx = 0\n",
"z = getvar(ncfiles, \"z\", timeidx, method=\"join\")\n",
"p = getvar(ncfiles, \"pressure\", timeidx, method=\"join\")\n",
- "pivot_point = (z.shape[-1] / 2, z.shape[-2] / 2) \n",
+ "pivot_point = CoordPair(z.shape[-1] / 2, z.shape[-2] / 2) \n",
"angle = 40.0\n",
"\n",
"p_vert = vertcross(p, z, pivot_point=pivot_point, angle=angle)\n",
@@ -1124,8 +1119,8 @@
"del p_vert\n",
"\n",
"# Pressure using start_point and end_point\n",
- "start_point = (0, z.shape[-2]/2)\n",
- "end_point = (-1, z.shape[-2]/2)\n",
+ "start_point = CoordPair(0, z.shape[-2]/2)\n",
+ "end_point = CoordPair(-1, z.shape[-2]/2)\n",
"\n",
"p_vert = vertcross(p, z, start_point=start_point, end_point=end_point)\n",
"print(p_vert)\n",
@@ -1151,10 +1146,10 @@
"timeidx = None\n",
"\n",
"# T2 using pivot and angle\n",
- "from wrf import interpline, getvar, npvalues\n",
+ "from wrf import interpline, getvar, to_np, CoordPair\n",
"\n",
"t2 = getvar(ncfiles, \"T2\", timeidx)\n",
- "pivot_point = (t2.shape[-2] / 2, t2.shape[-1] / 2) \n",
+ "pivot_point = CoordPair(t2.shape[-2] / 2, t2.shape[-1] / 2) \n",
"angle = 90.0\n",
"\n",
"t2_line = interpline(t2, pivot_point=pivot_point, angle=angle, latlon=True)\n",
@@ -1165,8 +1160,8 @@
"del t2_line\n",
"\n",
"# T2 using start_point and end_point\n",
- "start_point = (t2.shape[-2]/2, 0)\n",
- "end_point = (t2.shape[-2]/2, -1)\n",
+ "start_point = CoordPair(t2.shape[-2]/2, 0)\n",
+ "end_point = CoordPair(t2.shape[-2]/2, -1)\n",
"\n",
"t2_line = interpline(t2, start_point=start_point, end_point=end_point, latlon=True)\n",
"print(t2_line)\n",
diff --git a/test/ipynb/nocopy_test.ipynb b/test/ipynb/nocopy_test.ipynb
index a1220d8..0876abb 100644
--- a/test/ipynb/nocopy_test.ipynb
+++ b/test/ipynb/nocopy_test.ipynb
@@ -218,7 +218,7 @@
},
"outputs": [],
"source": [
- "from wrf import (ALL_TIMES, npvalues, Constants, getvar, extract_vars, destagger, \n",
+ "from wrf import (ALL_TIMES, to_np, Constants, getvar, extract_vars, destagger, \n",
" interp1d, interp2dxy, interpz3d, \n",
" slp, tk, td, rh, uvmet, smooth2d)\n",
"from netCDF4 import Dataset as nc\n",
@@ -267,7 +267,7 @@
"_tk = tk(full_p, full_t)\n",
"_slp = slp(destag_ph, _tk, full_p, qvapor)\n",
"_td = td(full_p, qvapor)\n",
- "_smooth2d = smooth2d(npvalues(_slp), 3)\n",
+ "_smooth2d = smooth2d(to_np(_slp), 3)\n",
"\n",
"_uvmet = getvar(wrfnc, \"uvmet\", timeidx=1)"
]
@@ -298,7 +298,7 @@
},
"outputs": [],
"source": [
- "from wrf import (ALL_TIMES, npvalues, Constants, getvar, extract_vars, destagger, \n",
+ "from wrf import (ALL_TIMES, to_np, Constants, getvar, extract_vars, destagger, \n",
" interp1d, interp2dxy, interpz3d, \n",
" slp, tk, td, rh, uvmet, smooth2d, extract_global_attrs)\n",
"from math import fabs, log, tan, sin, cos\n",
@@ -428,7 +428,7 @@
"outputs": [],
"source": [
"import numpy as np\n",
- "from wrf import (ALL_TIMES, npvalues, Constants, getvar, extract_vars, destagger, \n",
+ "from wrf import (ALL_TIMES, to_np, Constants, getvar, extract_vars, destagger, \n",
" interp1d, interp2dxy, interpz3d, \n",
" slp, tk, td, rh, uvmet, smooth2d, extract_global_attrs, xy)\n",
"from math import fabs, log, tan, sin, cos\n",
@@ -557,21 +557,21 @@
],
"metadata": {
"kernelspec": {
- "display_name": "Python 3",
+ "display_name": "Python 2",
"language": "python",
- "name": "python3"
+ "name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
- "version": 3
+ "version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.5.2"
+ "pygments_lexer": "ipython2",
+ "version": "2.7.12"
}
},
"nbformat": 4,