diff --git a/.gitignore b/.gitignore index d58fcc0ed8f4903b445e8aaa08144b896c548fc0..b2b4e3544309fc3562eac955cfcad1f65a02d1c1 100644 --- a/.gitignore +++ b/.gitignore @@ -13,3 +13,6 @@ nes/nc_projections/__pycache__ *.prj *.shp *.shx +.eggs +dist +NES.egg-info \ No newline at end of file diff --git a/CHANGELOG.rst b/CHANGELOG.rst index cab0f383a146d32db3c4bc561d6b9609f85fea51..c7e6fdea3b97dcb4c6b5ae323b3e6b9c469dbb53 100644 --- a/CHANGELOG.rst +++ b/CHANGELOG.rst @@ -4,6 +4,24 @@ CHANGELOG .. start-here +1.1.7 +============ + +* Release date: 2024/09/25 +* Changes and new features: + + * Final setup to upload package to PyPI + + +1.1.6 +============ + +* Release date: 2024/09/25 +* Changes and new features: + + * Tests to upload package to PyPI + + 1.1.5 ============ diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..2e46ed73635ad3bb0faabe55bb18819f939c6fc7 --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + + APPENDIX: How to apply the Apache License to your work. + + To apply the Apache License to your work, attach the following + boilerplate notice, with the fields enclosed by brackets "[]" + replaced with your own identifying information. (Don't include + the brackets!) The text should be enclosed in the appropriate + comment syntax for the file format. We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright 2024 NES + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..54ab49e398bd4add56bcb646c57200d825af3daf --- /dev/null +++ b/README.md @@ -0,0 +1,18 @@ +[![Version](https://earth.bsc.es/gitlab/es/NES/-/badges/release.svg?key_text=Latest+release)](https://earth.bsc.es/gitlab/es/NES/-/tags) + +# About + +NES (NetCDF for Earth Science) is the Python I/O library used by SNES, the framework that implements the data post-processing pipelines at the Earth Sciences department, to read and write netCDF files. + +## How to clone + +Use the following command to install NES: + +``` +pip install NES +``` + +## How to run + +For running NES, please follow the instruction in +the `wiki `_. \ No newline at end of file diff --git a/README.rst b/README.rst deleted file mode 100644 index 6562c619e2a76161c9622fd2215f119aa6b331dd..0000000000000000000000000000000000000000 --- a/README.rst +++ /dev/null @@ -1,39 +0,0 @@ -============ -CHANGELOG -============ - -.. start-here - -About -============ - -NES (NetCDF for Earth Science) is the Python I/O library used by SNES, the framework that implements the data post-processing pipelines at the Earth Sciences department, to read and write netCDF files. - -How to clone -============ - -Use the following command to get a copy of the repository: - -:: - - git clone https://earth.bsc.es/gitlab/es/NES.git - -You can use the latest stable version of NES -by accessing the production branch: - -:: - - git checkout production - -You can also access the master branch to test new features, -that are to be implemented in the upcoming release: - -:: - - git checkout master - -How to run -============ - -For running NES, please follow the instruction in -the `wiki `_. \ No newline at end of file diff --git a/docs/build/doctrees/changelog.doctree b/docs/build/doctrees/changelog.doctree index 0ef54b05ad4b1e7af75c5f8bfec6d3c83408eadd..5d2e644a286d131d3bad7517b7dbc74bc9c79fe8 100644 Binary files a/docs/build/doctrees/changelog.doctree and b/docs/build/doctrees/changelog.doctree differ diff --git a/docs/build/doctrees/environment.pickle b/docs/build/doctrees/environment.pickle index 362e89409eadc4eaa2cc5b2d51df75e94fb6688d..979ea4aa771fe630ea783f418cfd4fbe734f7c5f 100644 Binary files a/docs/build/doctrees/environment.pickle and b/docs/build/doctrees/environment.pickle differ diff --git a/docs/build/doctrees/formats.doctree b/docs/build/doctrees/formats.doctree index 8c2830685c4291700a410c8004ccfc09cc2041e5..eb08827a10b5d6c5d1783b6662a6bd73c59e6b99 100644 Binary files a/docs/build/doctrees/formats.doctree and b/docs/build/doctrees/formats.doctree differ diff --git a/docs/build/doctrees/methods.doctree b/docs/build/doctrees/methods.doctree index 2c1c03706691638c0a374d208f8471b2e58a769d..7e2eb2b30c08b493046d4994b0330d670cb836f3 100644 Binary files a/docs/build/doctrees/methods.doctree and b/docs/build/doctrees/methods.doctree differ diff --git a/docs/build/doctrees/object.doctree b/docs/build/doctrees/object.doctree index 9f99562373effd54947c1e34763c14e72d4f5941..92370734f4becc86fbc2deb49c00ea4de71ed926 100644 Binary files a/docs/build/doctrees/object.doctree and b/docs/build/doctrees/object.doctree differ diff --git a/docs/build/doctrees/projections.doctree b/docs/build/doctrees/projections.doctree index a94ee6992adefdf7fdb5bd52889b81b1de944eab..ab5a8b2154a20feea830be526590a5a891db6d93 100644 Binary files a/docs/build/doctrees/projections.doctree and b/docs/build/doctrees/projections.doctree differ diff --git a/docs/build/doctrees/readme.doctree b/docs/build/doctrees/readme.doctree index 172e1047dc2ba951e6386df181570419ac9972c6..56aee13fcbee1e69cf829b1259dd06e65ade58b8 100644 Binary files a/docs/build/doctrees/readme.doctree and b/docs/build/doctrees/readme.doctree differ diff --git a/docs/build/html/.buildinfo b/docs/build/html/.buildinfo index 4ae2fafc1a0d7b5fab891e25b61bcb600a944881..9add8e0b10f01cbe8bb1060286572f3548d14414 100644 --- a/docs/build/html/.buildinfo +++ b/docs/build/html/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: ae473bf9fa7e837e717efd8d2c738be6 +config: fd96123ff22560f3af1337e61555e19c tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/build/html/_modules/nes/create_nes.html b/docs/build/html/_modules/nes/create_nes.html index 57490b3ff886baa4dd28b15ec0a3f0c0b5bb3cb3..ecf03135dc9ca3cf135f825bbf158bc3de932a29 100644 --- a/docs/build/html/_modules/nes/create_nes.html +++ b/docs/build/html/_modules/nes/create_nes.html @@ -83,13 +83,12 @@ import sys from netCDF4 import num2date from mpi4py import MPI -import geopandas as gpd -from .nc_projections import * +from .nc_projections import PointsNes, LatLonNes, RotatedNes, RotatedNestedNes, LCCNes, MercatorNes
[docs] -def create_nes(comm=None, info=False, projection=None, parallel_method='Y', balanced=False, +def create_nes(comm=None, info=False, projection=None, parallel_method="Y", balanced=False, times=None, avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, **kwargs): """ @@ -97,24 +96,58 @@ Parameters ---------- - comm: MPI.Communicator - MPI Communicator. - info: bool - Indicates if you want to get reading/writing info. - parallel_method : str - Indicates the parallelization method that you want. Default: 'Y'. - accepted values: ['X', 'Y', 'T']. - balanced : bool - Indicates if you want a balanced parallelization or not. - Balanced dataset cannot be written in chunking mode. - avoid_first_hours : int - Number of hours to remove from first time steps. - avoid_last_hours : int - Number of hours to remove from last time steps. - first_level : int - Index of the first level to use. - last_level : int, None - Index of the last level to use. None if it is the last. + comm : MPI.Comm, optional + MPI Communicator. If None, uses MPI.COMM_WORLD. + info : bool, optional + Indicates if reading/writing info should be provided. Default is False. + projection : str, optional + The projection type. Accepted values are None, "regular", "global", "rotated", "rotated-nested", "lcc", + "mercator". + parallel_method : str, optional + The parallelization method to use. Default is "Y". Accepted values are ["X", "Y", "T"]. + balanced : bool, optional + Indicates if balanced parallelization is desired. Balanced datasets cannot be written in chunking mode. + Default is False. + times : list of datetime, optional + List of datetime objects representing the time dimension. If None, a default time array is created. + avoid_first_hours : int, optional + Number of hours to remove from the start of the time steps. Default is 0. + avoid_last_hours : int, optional + Number of hours to remove from the end of the time steps. Default is 0. + first_level : int, optional + Index of the first level to use. Default is 0. + last_level : int or None, optional + Index of the last level to use. If None, the last level is used. Default is None. + **kwargs : additional arguments + Additional parameters required for specific projections. + + Returns + ------- + nes : Nes + An instance of the Nes class based on the specified parameters and projection. + + Raises + ------ + ValueError + If any required projection-specific parameters are missing or if invalid parameters are provided. + NotImplementedError + If an unsupported parallel method or projection type is specified. + + Notes + ----- + The function dynamically creates an instance of a specific Nes subclass based on the provided projection. + The required parameters for each projection type are: + - None: ["lat", "lon"] + - "regular": ["lat_orig", "lon_orig", "inc_lat", "inc_lon", "n_lat", "n_lon"] + - "global": ["inc_lat", "inc_lon"] + - "rotated": ["centre_lat", "centre_lon", "west_boundary", "south_boundary", "inc_rlat", "inc_rlon"] + - "rotated-nested": ["parent_grid_path", "parent_ratio", "i_parent_start", "j_parent_start", "n_rlat", "n_rlon"] + - "lcc": ["lat_1", "lat_2", "lon_0", "lat_0", "nx", "ny", "inc_x", "inc_y", "x_0", "y_0"] + - "mercator": ["lat_ts", "lon_0", "nx", "ny", "inc_x", "inc_y", "x_0", "y_0"] + + Example + ------- + >>> nes = create_nes(projection="regular", lat_orig=0, lon_orig=0, inc_lat=1, inc_lon=1, n_lat=180, n_lon=360) """ if comm is None: @@ -124,13 +157,13 @@ # Create time array if times is None: - units = 'days since 1996-12-31 00:00:00' - calendar = 'standard' + units = "days since 1996-12-31 00:00:00" + calendar = "standard" times = num2date([0], units=units, calendar=calendar) times = [aux.replace(second=0, microsecond=0) for aux in times] else: if not isinstance(times, list): - times = times.tolist() + times = list(times) # Check if the parameters that are required to create the object have been defined in kwargs kwargs_list = [] @@ -138,67 +171,67 @@ kwargs_list.append(name) if projection is None: - required_vars = ['lat', 'lon'] - elif projection == 'regular': - required_vars = ['lat_orig', 'lon_orig', 'inc_lat', 'inc_lon', 'n_lat', 'n_lon'] - elif projection == 'global': - required_vars = ['inc_lat', 'inc_lon'] - elif projection == 'rotated': - required_vars = ['centre_lat', 'centre_lon', 'west_boundary', 'south_boundary', 'inc_rlat', 'inc_rlon'] - elif projection == 'rotated-nested': - required_vars = ['parent_grid_path', 'parent_ratio', 'i_parent_start', 'j_parent_start', 'n_rlat', 'n_rlon'] - elif projection == 'lcc': - required_vars = ['lat_1', 'lat_2', 'lon_0', 'lat_0', 'nx', 'ny', 'inc_x', 'inc_y', 'x_0', 'y_0'] - elif projection == 'mercator': - required_vars = ['lat_ts', 'lon_0', 'nx', 'ny', 'inc_x', 'inc_y', 'x_0', 'y_0'] + required_vars = ["lat", "lon"] + elif projection == "regular": + required_vars = ["lat_orig", "lon_orig", "inc_lat", "inc_lon", "n_lat", "n_lon"] + elif projection == "global": + required_vars = ["inc_lat", "inc_lon"] + elif projection == "rotated": + required_vars = ["centre_lat", "centre_lon", "west_boundary", "south_boundary", "inc_rlat", "inc_rlon"] + elif projection == "rotated-nested": + required_vars = ["parent_grid_path", "parent_ratio", "i_parent_start", "j_parent_start", "n_rlat", "n_rlon"] + elif projection == "lcc": + required_vars = ["lat_1", "lat_2", "lon_0", "lat_0", "nx", "ny", "inc_x", "inc_y", "x_0", "y_0"] + elif projection == "mercator": + required_vars = ["lat_ts", "lon_0", "nx", "ny", "inc_x", "inc_y", "x_0", "y_0"] else: raise ValueError("Unknown projection: {0}".format(projection)) for var in required_vars: if var not in kwargs_list: - msg = 'Variable {0} has not been defined. '.format(var) - msg += 'For a {} projection, it is necessary to define {}'.format(projection, required_vars) + msg = "Variable {0} has not been defined. ".format(var) + msg += "For a {} projection, it is necessary to define {}".format(projection, required_vars) raise ValueError(msg) for var in kwargs_list: if var not in required_vars: - msg = 'Variable {0} has been defined. '.format(var) - msg += 'For a {} projection, you can only define {}'.format(projection, required_vars) + msg = "Variable {0} has been defined. ".format(var) + msg += "For a {} projection, you can only define {}".format(projection, required_vars) raise ValueError(msg) if projection is None: - if parallel_method == 'Y': + if parallel_method == "Y": warnings.warn("Parallel method cannot be 'Y' to create points NES. Setting it to 'X'") sys.stderr.flush() - parallel_method = 'X' - elif parallel_method == 'T': + parallel_method = "X" + elif parallel_method == "T": raise NotImplementedError("Parallel method T not implemented yet") - nessy = PointsNes(comm=comm, dataset=None, xarray=False, info=info, parallel_method=parallel_method, + nessy = PointsNes(comm=comm, dataset=None, info=info, parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, balanced=balanced, create_nes=True, times=times, **kwargs) - elif projection in ['regular', 'global']: - nessy = LatLonNes(comm=comm, dataset=None, xarray=False, info=info, parallel_method=parallel_method, + elif projection in ["regular", "global"]: + nessy = LatLonNes(comm=comm, dataset=None, info=info, parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, balanced=balanced, create_nes=True, times=times, **kwargs) - elif projection == 'rotated': - nessy = RotatedNes(comm=comm, dataset=None, xarray=False, info=info, parallel_method=parallel_method, + elif projection == "rotated": + nessy = RotatedNes(comm=comm, dataset=None, info=info, parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, balanced=balanced, create_nes=True, times=times, **kwargs) - elif projection == 'rotated-nested': - nessy = RotatedNestedNes(comm=comm, dataset=None, xarray=False, info=info, parallel_method=parallel_method, + elif projection == "rotated-nested": + nessy = RotatedNestedNes(comm=comm, dataset=None, info=info, parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, balanced=balanced, create_nes=True, times=times, **kwargs) - elif projection == 'lcc': - nessy = LCCNes(comm=comm, dataset=None, xarray=False, info=info, parallel_method=parallel_method, + elif projection == "lcc": + nessy = LCCNes(comm=comm, dataset=None, info=info, parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, balanced=balanced, create_nes=True, times=times, **kwargs) - elif projection == 'mercator': - nessy = MercatorNes(comm=comm, dataset=None, xarray=False, info=info, parallel_method=parallel_method, + elif projection == "mercator": + nessy = MercatorNes(comm=comm, dataset=None, info=info, parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, balanced=balanced, create_nes=True, times=times, **kwargs) @@ -211,7 +244,7 @@
[docs] -def from_shapefile(path, method=None, parallel_method='Y', **kwargs): +def from_shapefile(path, method=None, parallel_method="Y", **kwargs): """ Create NES from shapefile data. @@ -224,10 +257,10 @@ path : str Path to shapefile. method : str - Overlay method. Accepted values: ['nearest', 'intersection', None]. + Overlay method. Accepted values: ["nearest", "intersection", None]. parallel_method : str - Indicates the parallelization method that you want. Default: 'Y'. - accepted values: ['X', 'Y', 'T']. + Indicates the parallelization method that you want. Default: "Y". + accepted values: ["X", "Y", "T"]. """ # Create NES diff --git a/docs/build/html/_modules/nes/load_nes.html b/docs/build/html/_modules/nes/load_nes.html index c7b22e1018d766d9680ef05e001aa9e8f94ea0ff..6171a9c2764928c5cb98f26429195e66aa04220b 100644 --- a/docs/build/html/_modules/nes/load_nes.html +++ b/docs/build/html/_modules/nes/load_nes.html @@ -81,19 +81,19 @@ import os import sys +from numpy import empty from mpi4py import MPI from netCDF4 import Dataset -import warnings -import numpy as np -from .nc_projections import * +from warnings import warn +from .nc_projections import RotatedNes, PointsNes, PointsNesGHOST, PointsNesProvidentia, LCCNes, LatLonNes, MercatorNes -DIM_VAR_NAMES = ['lat', 'latitude', 'lat_bnds', 'lon', 'longitude', 'lon_bnds', 'time', 'time_bnds', 'lev', 'level', - 'cell_area', 'crs', 'rotated_pole', 'x', 'y', 'rlat', 'rlon', 'Lambert_conformal', 'mercator'] +DIM_VAR_NAMES = ["lat", "latitude", "lat_bnds", "lon", "longitude", "lon_bnds", "time", "time_bnds", "lev", "level", + "cell_area", "crs", "rotated_pole", "x", "y", "rlat", "rlon", "Lambert_conformal", "mercator"]
[docs] -def open_netcdf(path, comm=None, xarray=False, info=False, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, +def open_netcdf(path, comm=None, info=False, parallel_method="Y", avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, balanced=False): """ Open a netCDF file. @@ -104,8 +104,6 @@ Path to the NetCDF file to read. comm : MPI.COMM MPI communicator to use in that netCDF. Default: MPI.COMM_WORLD. - xarray : bool - (Not working) Indicates if you want to use xarray. Default: False. info : bool Indicates if you want to print (stdout) the reading/writing steps. avoid_first_hours : int @@ -113,8 +111,8 @@ avoid_last_hours : int Number of hours to remove from last time steps. parallel_method : str - Indicates the parallelization method that you want. Default: 'Y'. - Accepted values: ['X', 'Y', 'T'] + Indicates the parallelization method that you want. Default: "Y". + Accepted values: ["X", "Y", "T"] balanced : bool Indicates if you want a balanced parallelization or not. Balanced dataset cannot be written in chunking mode. first_level : int @@ -125,7 +123,7 @@ Returns ------- Nes - Nes object. Variables read in lazy mode (only metadata). + A Nes object. Variables read in lazy mode (only metadata). """ if comm is None: @@ -135,57 +133,55 @@ if not os.path.exists(path): raise FileNotFoundError(path) - if xarray: - dataset = None - else: - dataset = Dataset(path, format="NETCDF4", mode='r', parallel=False) - # Parallel is not needed for reading - # if comm.Get_size() == 1: - # dataset = Dataset(path, format="NETCDF4", mode='r', parallel=False) - # else: - # dataset = Dataset(path, format="NETCDF4", mode='r', parallel=True, comm=comm, info=MPI.Info()) + + dataset = Dataset(path, format="NETCDF4", mode="r", parallel=False) + # Parallel is not needed for reading + # if comm.Get_size() == 1: + # dataset = Dataset(path, format="NETCDF4", mode="r", parallel=False) + # else: + # dataset = Dataset(path, format="NETCDF4", mode="r", parallel=True, comm=comm, info=MPI.Info()) if __is_rotated(dataset): # Rotated grids - nessy = RotatedNes(comm=comm, dataset=dataset, xarray=xarray, info=info, parallel_method=parallel_method, + nessy = RotatedNes(comm=comm, dataset=dataset, info=info, parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, create_nes=False, balanced=balanced,) elif __is_points(dataset): - if parallel_method == 'Y': - warnings.warn("Parallel method cannot be 'Y' to create points NES. Setting it to 'X'") + if parallel_method == "Y": + warn("Parallel method cannot be 'Y' to create points NES. Setting it to 'X'") sys.stderr.flush() - parallel_method = 'X' + parallel_method = "X" if __is_points_ghost(dataset): # Points - GHOST - nessy = PointsNesGHOST(comm=comm, dataset=dataset, xarray=xarray, info=info, + nessy = PointsNesGHOST(comm=comm, dataset=dataset, info=info, parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, create_nes=False, balanced=balanced,) elif __is_points_providentia(dataset): # Points - Providentia - nessy = PointsNesProvidentia(comm=comm, dataset=dataset, xarray=xarray, info=info, + nessy = PointsNesProvidentia(comm=comm, dataset=dataset, info=info, parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, create_nes=False, balanced=balanced,) else: # Points - non-GHOST - nessy = PointsNes(comm=comm, dataset=dataset, xarray=xarray, info=info, parallel_method=parallel_method, + nessy = PointsNes(comm=comm, dataset=dataset, info=info, parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, create_nes=False, balanced=balanced,) elif __is_lcc(dataset): # Lambert conformal conic grids - nessy = LCCNes(comm=comm, dataset=dataset, xarray=xarray, info=info, parallel_method=parallel_method, + nessy = LCCNes(comm=comm, dataset=dataset, info=info, parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, create_nes=False, balanced=balanced,) elif __is_mercator(dataset): # Mercator grids - nessy = MercatorNes(comm=comm, dataset=dataset, xarray=xarray, info=info, parallel_method=parallel_method, + nessy = MercatorNes(comm=comm, dataset=dataset, info=info, parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, create_nes=False, balanced=balanced,) else: # Regular grids - nessy = LatLonNes(comm=comm, dataset=dataset, xarray=xarray, info=info, parallel_method=parallel_method, + nessy = LatLonNes(comm=comm, dataset=dataset, info=info, parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, create_nes=False, balanced=balanced,) @@ -208,9 +204,9 @@ Indicated if the netCDF is a rotated one. """ - if 'rotated_pole' in dataset.variables.keys(): + if "rotated_pole" in dataset.variables.keys(): return True - elif ('rlat' in dataset.dimensions) and ('rlon' in dataset.dimensions): + elif ("rlat" in dataset.dimensions) and ("rlon" in dataset.dimensions): return True else: return False @@ -231,7 +227,7 @@ Indicated if the netCDF is a points non-GHOST one. """ - if 'station' in dataset.dimensions: + if "station" in dataset.dimensions: return True else: return False @@ -252,7 +248,7 @@ Indicated if the netCDF is a points GHOST one. """ - if 'N_flag_codes' in dataset.dimensions and 'N_qa_codes' in dataset.dimensions: + if "N_flag_codes" in dataset.dimensions and "N_qa_codes" in dataset.dimensions: return True else: return False @@ -273,8 +269,8 @@ Indicated if the netCDF is a points Providentia one. """ - if (('grid_edge' in dataset.dimensions) and ('model_latitude' in dataset.dimensions) - and ('model_longitude' in dataset.dimensions)): + if (("grid_edge" in dataset.dimensions) and ("model_latitude" in dataset.dimensions) and + ("model_longitude" in dataset.dimensions)): return True else: return False @@ -292,10 +288,10 @@ Returns ------- value : bool - Indicated if the netCDF is a LCC one. + Indicated if the netCDF is an LCC one. """ - if 'Lambert_Conformal' in dataset.variables.keys() or 'Lambert_conformal' in dataset.variables.keys(): + if "Lambert_Conformal" in dataset.variables.keys() or "Lambert_conformal" in dataset.variables.keys(): return True else: return False @@ -316,7 +312,7 @@ Indicated if the netCDF is a Mercator one. """ - if 'mercator' in dataset.variables.keys(): + if "mercator" in dataset.variables.keys(): return True else: return False @@ -324,7 +320,7 @@
[docs] -def concatenate_netcdfs(nessy_list, comm=None, info=False, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, +def concatenate_netcdfs(nessy_list, comm=None, info=False, parallel_method="Y", avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, balanced=False): """ Concatenate variables form different sources. @@ -332,14 +328,30 @@ Parameters ---------- nessy_list : list - List of Nes objects or list of paths to concatenate. - comm : MPI.Communicator + A List of Nes objects or list of paths to concatenate. + comm : MPI.Comm MPI Communicator. + info: bool + Indicates if you want to get reading/writing info. + parallel_method : str + Indicates the parallelization method that you want. Default: "Y". + accepted values: ["X", "Y", "T"]. + balanced : bool + Indicates if you want a balanced parallelization or not. + Balanced dataset cannot be written in chunking mode. + avoid_first_hours : int + Number of hours to remove from first time steps. + avoid_last_hours : int + Number of hours to remove from last time steps. + first_level : int + Index of the first level to use. + last_level : int, None + Index of the last level to use. None if it is the last. Returns ------- Nes - Nes object with all the variables. + A Nes object with all the variables. """ if not isinstance(nessy_list, list): raise AttributeError("You must pass a list of NES objects or paths.") @@ -360,7 +372,7 @@ nessy_first = nessy_list[0] for i, aux_nessy in enumerate(nessy_list[1:]): if isinstance(aux_nessy, str): - nc_add = Dataset(filename=aux_nessy, mode='r') + nc_add = Dataset(filename=aux_nessy, mode="r") for var_name, var_info in nc_add.variables.items(): if var_name not in DIM_VAR_NAMES: nessy_first.variables[var_name] = {} @@ -369,40 +381,40 @@ if len(var_dims) < 2: data = var_info[:] elif len(var_dims) == 2: - data = var_info[nessy_first.read_axis_limits['y_min']:nessy_first.read_axis_limits['y_max'], - nessy_first.read_axis_limits['x_min']:nessy_first.read_axis_limits['x_max']] + data = var_info[nessy_first.read_axis_limits["y_min"]:nessy_first.read_axis_limits["y_max"], + nessy_first.read_axis_limits["x_min"]:nessy_first.read_axis_limits["x_max"]] data = data.reshape(1, 1, data.shape[-2], data.shape[-1]) elif len(var_dims) == 3: - if 'strlen' in var_dims: - data = var_info[nessy_first.read_axis_limits['y_min']:nessy_first.read_axis_limits['y_max'], - nessy_first.read_axis_limits['x_min']:nessy_first.read_axis_limits['x_max'], + if "strlen" in var_dims: + data = var_info[nessy_first.read_axis_limits["y_min"]:nessy_first.read_axis_limits["y_max"], + nessy_first.read_axis_limits["x_min"]:nessy_first.read_axis_limits["x_max"], :] - data_aux = np.empty(shape=(data.shape[0], data.shape[1]), dtype=np.object) + data_aux = empty(shape=(data.shape[0], data.shape[1]), dtype=object) for lat_n in range(data.shape[0]): for lon_n in range(data.shape[1]): - data_aux[lat_n, lon_n] = ''.join( - data[lat_n, lon_n].tostring().decode('ascii').replace('\x00', '')) + data_aux[lat_n, lon_n] = "".join( + data[lat_n, lon_n].tobytes().decode("ascii").replace("\x00", "")) data = data_aux.reshape((1, 1, data_aux.shape[-2], data_aux.shape[-1])) else: - data = var_info[nessy_first.read_axis_limits['t_min']:nessy_first.read_axis_limits['t_max'], - nessy_first.read_axis_limits['y_min']:nessy_first.read_axis_limits['y_max'], - nessy_first.read_axis_limits['x_min']:nessy_first.read_axis_limits['x_max']] + data = var_info[nessy_first.read_axis_limits["t_min"]:nessy_first.read_axis_limits["t_max"], + nessy_first.read_axis_limits["y_min"]:nessy_first.read_axis_limits["y_max"], + nessy_first.read_axis_limits["x_min"]:nessy_first.read_axis_limits["x_max"]] data = data.reshape(data.shape[-3], 1, data.shape[-2], data.shape[-1]) elif len(var_dims) == 4: - data = var_info[nessy_first.read_axis_limits['t_min']:nessy_first.read_axis_limits['t_max'], - nessy_first.read_axis_limits['z_min']:nessy_first.read_axis_limits['z_max'], - nessy_first.read_axis_limits['y_min']:nessy_first.read_axis_limits['y_max'], - nessy_first.read_axis_limits['x_min']:nessy_first.read_axis_limits['x_max']] + data = var_info[nessy_first.read_axis_limits["t_min"]:nessy_first.read_axis_limits["t_max"], + nessy_first.read_axis_limits["z_min"]:nessy_first.read_axis_limits["z_max"], + nessy_first.read_axis_limits["y_min"]:nessy_first.read_axis_limits["y_max"], + nessy_first.read_axis_limits["x_min"]:nessy_first.read_axis_limits["x_max"]] else: raise TypeError("{} data shape is nto accepted".format(var_dims)) - nessy_first.variables[var_name]['data'] = data + nessy_first.variables[var_name]["data"] = data # Avoid some attributes for attrname in var_info.ncattrs(): - if attrname not in ['missing_value', '_FillValue']: + if attrname not in ["missing_value", "_FillValue"]: value = getattr(var_info, attrname) - if value in ['unitless', '-']: - value = '' + if value in ["unitless", "-"]: + value = "" nessy_first.variables[var_name][attrname] = value nc_add.close() diff --git a/docs/build/html/_modules/nes/methods/cell_measures.html b/docs/build/html/_modules/nes/methods/cell_measures.html index 331b5c4b68f6550ec0e4a8234a595db4f23b976b..e0073638592da5497bbdace485d0bf9313b6d4a0 100644 --- a/docs/build/html/_modules/nes/methods/cell_measures.html +++ b/docs/build/html/_modules/nes/methods/cell_measures.html @@ -78,8 +78,7 @@

Source code for nes.methods.cell_measures

 #!/usr/bin/env python
-
-import numpy as np
+from numpy import empty, newaxis, array, arcsin, tan, fabs, arctan, sqrt, radians, cos, sin, column_stack
 from copy import deepcopy
 
 
@@ -96,37 +95,37 @@
     """
         
     # Create bounds if they do not exist
-    if self._lat_bnds is None or self._lon_bnds is None:
+    if self.lat_bnds is None or self.lon_bnds is None:
         self.create_spatial_bounds()
 
     # Get spatial number of vertices
-    spatial_nv = self.lat_bnds['data'].shape[-1]
+    spatial_nv = self.lat_bnds["data"].shape[-1]
 
     # Reshape bounds
     if spatial_nv == 2:
 
-        aux_shape = (self.lat_bnds['data'].shape[0], self.lon_bnds['data'].shape[0], 4)
-        lon_bnds_aux = np.empty(aux_shape)
-        lon_bnds_aux[:, :, 0] = self.lon_bnds['data'][np.newaxis, :, 0]
-        lon_bnds_aux[:, :, 1] = self.lon_bnds['data'][np.newaxis, :, 1]
-        lon_bnds_aux[:, :, 2] = self.lon_bnds['data'][np.newaxis, :, 1]
-        lon_bnds_aux[:, :, 3] = self.lon_bnds['data'][np.newaxis, :, 0]
+        aux_shape = (self.lat_bnds["data"].shape[0], self.lon_bnds["data"].shape[0], 4)
+        lon_bnds_aux = empty(aux_shape)
+        lon_bnds_aux[:, :, 0] = self.lon_bnds["data"][newaxis, :, 0]
+        lon_bnds_aux[:, :, 1] = self.lon_bnds["data"][newaxis, :, 1]
+        lon_bnds_aux[:, :, 2] = self.lon_bnds["data"][newaxis, :, 1]
+        lon_bnds_aux[:, :, 3] = self.lon_bnds["data"][newaxis, :, 0]
 
         lon_bnds = lon_bnds_aux
         del lon_bnds_aux
 
-        lat_bnds_aux = np.empty(aux_shape)
-        lat_bnds_aux[:, :, 0] = self.lat_bnds['data'][:, np.newaxis, 0]
-        lat_bnds_aux[:, :, 1] = self.lat_bnds['data'][:, np.newaxis, 0]
-        lat_bnds_aux[:, :, 2] = self.lat_bnds['data'][:, np.newaxis, 1]
-        lat_bnds_aux[:, :, 3] = self.lat_bnds['data'][:, np.newaxis, 1]
+        lat_bnds_aux = empty(aux_shape)
+        lat_bnds_aux[:, :, 0] = self.lat_bnds["data"][:, newaxis, 0]
+        lat_bnds_aux[:, :, 1] = self.lat_bnds["data"][:, newaxis, 0]
+        lat_bnds_aux[:, :, 2] = self.lat_bnds["data"][:, newaxis, 1]
+        lat_bnds_aux[:, :, 3] = self.lat_bnds["data"][:, newaxis, 1]
 
         lat_bnds = lat_bnds_aux
         del lat_bnds_aux
 
     else:
-        lon_bnds = self.lon_bnds['data']
-        lat_bnds = self.lat_bnds['data']
+        lon_bnds = self.lon_bnds["data"]
+        lat_bnds = self.lat_bnds["data"]
 
     # Reshape bounds and assign as grid corner coordinates
     grid_corner_lon = deepcopy(lon_bnds).reshape(lon_bnds.shape[0]*lon_bnds.shape[1], 
@@ -153,36 +152,37 @@
     Parameters
     ----------
     geometry_list : List
-        List with polygon geometries.    
+        A List with polygon geometries.
     earth_radius_minor_axis : float
         Radius of the minor axis of the Earth.
     earth_radius_major_axis : float
         Radius of the major axis of the Earth.
     """
     
-    geometry_area = np.empty(shape=(len(geometry_list,)))
+    geometry_area = empty(shape=(len(geometry_list,)))
     
     for geom_ind in range(0, len(geometry_list)):
         
         # Calculate the area of each geometry in multipolygon and collection objects
-        if geometry_list[geom_ind].type in ['MultiPolygon', 'GeometryCollection']:
+        if geometry_list[geom_ind].geom_type in ["MultiPolygon", "GeometryCollection"]:
             multi_geom_area = 0
             for multi_geom_ind in range(0, len(geometry_list[geom_ind].geoms)):
-                if geometry_list[geom_ind].geoms[multi_geom_ind].type == 'Point':
+                if geometry_list[geom_ind].geoms[multi_geom_ind].geom_type == "Point":
                     continue
-                geometry_corner_lon, geometry_corner_lat = geometry_list[geom_ind].geoms[multi_geom_ind].exterior.coords.xy
-                geometry_corner_lon = np.array(geometry_corner_lon)
-                geometry_corner_lat = np.array(geometry_corner_lat)
-                geom_area = mod_huiliers_area(geometry_corner_lon, geometry_corner_lat) 
+                geometry_corner_lon, geometry_corner_lat = (
+                    geometry_list[geom_ind].geoms[multi_geom_ind].exterior.coords.xy)
+                geometry_corner_lon = array(geometry_corner_lon)
+                geometry_corner_lat = array(geometry_corner_lat)
+                geom_area = __mod_huiliers_area(geometry_corner_lon, geometry_corner_lat)
                 multi_geom_area += geom_area
             geometry_area[geom_ind] = multi_geom_area * earth_radius_minor_axis * earth_radius_major_axis
         
         # Calculate the area of each geometry
         else:
             geometry_corner_lon, geometry_corner_lat = geometry_list[geom_ind].exterior.coords.xy
-            geometry_corner_lon = np.array(geometry_corner_lon)
-            geometry_corner_lat = np.array(geometry_corner_lat)
-            geom_area = mod_huiliers_area(geometry_corner_lon, geometry_corner_lat) 
+            geometry_corner_lon = array(geometry_corner_lon)
+            geometry_corner_lat = array(geometry_corner_lat)
+            geom_area = __mod_huiliers_area(geometry_corner_lon, geometry_corner_lat)
             geometry_area[geom_ind] = geom_area * earth_radius_minor_axis * earth_radius_major_axis
 
     return geometry_area
@@ -191,18 +191,17 @@
[docs] -def calculate_cell_area(grid_corner_lon, grid_corner_lat, - earth_radius_minor_axis=6356752.3142, - earth_radius_major_axis=6378137.0): +def calculate_cell_area(grid_corner_lon, grid_corner_lat, + earth_radius_minor_axis=6356752.3142, earth_radius_major_axis=6378137.0): """ Calculate the area of each cell of a grid. Parameters ---------- - grid_corner_lon : np.array - Array with longitude bounds of grid. - grid_corner_lat : np.array - Array with longitude bounds of grid. + grid_corner_lon : array + An Array with longitude bounds of grid. + grid_corner_lat : array + An Array with longitude bounds of grid. earth_radius_minor_axis : float Radius of the minor axis of the Earth. earth_radius_major_axis : float @@ -211,34 +210,32 @@ # Calculate area for each grid cell n_cells = grid_corner_lon.shape[0] - area = np.empty(shape=(n_cells,)) + area = empty(shape=(n_cells,)) for i in range(0, n_cells): - area[i] = mod_huiliers_area(grid_corner_lon[i], grid_corner_lat[i]) + area[i] = __mod_huiliers_area(grid_corner_lon[i], grid_corner_lat[i]) return area*earth_radius_minor_axis*earth_radius_major_axis
-
-[docs] -def mod_huiliers_area(cell_corner_lon, cell_corner_lat): +def __mod_huiliers_area(cell_corner_lon, cell_corner_lat): """ Calculate the area of each cell according to Huilier's theorem. Reference: CDO (https://earth.bsc.es/gitlab/ces/cdo/). Parameters ---------- - cell_corner_lon : np.array + cell_corner_lon : array Longitude boundaries of each cell. - cell_corner_lat : np.array + cell_corner_lat : array Latitude boundaries of each cell. """ - sum = 0 + my_sum = 0 # Get points 0 (bottom left) and 1 (bottom right) in Earth coordinates - point_0 = lon_lat_to_cartesian(cell_corner_lon[0], cell_corner_lat[0], earth_radius_major_axis=1) - point_1 = lon_lat_to_cartesian(cell_corner_lon[1], cell_corner_lat[1], earth_radius_major_axis=1) + point_0 = __lon_lat_to_cartesian(cell_corner_lon[0], cell_corner_lat[0], earth_radius_major_axis=1) + point_1 = __lon_lat_to_cartesian(cell_corner_lon[1], cell_corner_lat[1], earth_radius_major_axis=1) point_0, point_1 = point_0[0], point_1[0] # Get number of vertices @@ -250,122 +247,110 @@ for i in range(2, spatial_nv): # Get point 2 (top right) in Earth coordinates - point_2 = lon_lat_to_cartesian(cell_corner_lon[i], cell_corner_lat[i], earth_radius_major_axis=1) + point_2 = __lon_lat_to_cartesian(cell_corner_lon[i], cell_corner_lat[i], earth_radius_major_axis=1) point_2 = point_2[0] # Calculate area of triangle between points 0, 1 and 2 - sum += tri_area(point_0, point_1, point_2) + my_sum += __tri_area(point_0, point_1, point_2) # Copy to calculate area of next triangle if i == (spatial_nv - 1): point_1 = deepcopy(point_2) - return sum
- + return my_sum -
-[docs] -def tri_area(point_0, point_1, point_2): +def __tri_area(point_0, point_1, point_2): """ Calculate area between three points that form a triangle. Reference: CDO (https://earth.bsc.es/gitlab/ces/cdo/). Parameters ---------- - point_0 : np.array + point_0 : array Position of first point in cartesian coordinates. - point_1 : np.array + point_1 : array Position of second point in cartesian coordinates. - point_2 : np.array + point_2 : array Position of third point in cartesian coordinates. """ # Get length of side a (between point 0 and 1) - tmp_vec = cross_product(point_0, point_1) - sina = norm(tmp_vec) - a = np.arcsin(sina) + tmp_vec = __cross_product(point_0, point_1) + sin_a = __norm(tmp_vec) + a = arcsin(sin_a) # Get length of side b (between point 0 and 2) - tmp_vec = cross_product(point_0, point_2) - sinb = norm(tmp_vec) - b = np.arcsin(sinb) + tmp_vec = __cross_product(point_0, point_2) + sin_b = __norm(tmp_vec) + b = arcsin(sin_b) # Get length of side c (between point 1 and 2) - tmp_vec = cross_product(point_2, point_1) - sinc = norm(tmp_vec) - c = np.arcsin(sinc) + tmp_vec = __cross_product(point_2, point_1) + sin_c = __norm(tmp_vec) + c = arcsin(sin_c) # Calculate area s = 0.5*(a+b+c) - t = np.tan(s*0.5) * np.tan((s - a)*0.5) * np.tan((s - b)*0.5) * np.tan((s - c)*0.5) - area = np.fabs(4.0 * np.arctan(np.sqrt(np.fabs(t)))) + t = tan(s*0.5) * tan((s - a)*0.5) * tan((s - b)*0.5) * tan((s - c)*0.5) + area = fabs(4.0 * arctan(sqrt(fabs(t)))) - return area
- + return area -
-[docs] -def cross_product(a, b): +def __cross_product(a, b): """ Calculate cross product between two points. Parameters ---------- - a : np.array - Position of point a in cartesian coordinates. - b : np.array - Position of point b in cartesian coordinates. + a : array + Position of point A in cartesian coordinates. + b : array + Position of point B in cartesian coordinates. """ return [a[1]*b[2] - a[2]*b[1], a[2]*b[0] - a[0]*b[2], - a[0]*b[1] - a[1]*b[0]]
+ a[0]*b[1] - a[1]*b[0]] - -
-[docs] -def norm(cp): +def __norm(cp): """ Normalize the result of the cross product operation. Parameters ---------- - cp : np.array + cp : array Cross product between two points. """ - return np.sqrt(cp[0]*cp[0] + cp[1]*cp[1] + cp[2]*cp[2])
- + return sqrt(cp[0]*cp[0] + cp[1]*cp[1] + cp[2]*cp[2]) -
-[docs] -def lon_lat_to_cartesian(lon, lat, earth_radius_major_axis=6378137.0): +# noinspection DuplicatedCode +def __lon_lat_to_cartesian(lon, lat, earth_radius_major_axis=6378137.0): """ Calculate lon, lat coordinates of a point on a sphere. Parameters ---------- - lon : np.array + lon : array Longitude values. - lat : np.array + lat : array Latitude values. earth_radius_major_axis : float Radius of the major axis of the Earth. """ - lon_r = np.radians(lon) - lat_r = np.radians(lat) - - x = earth_radius_major_axis * np.cos(lat_r) * np.cos(lon_r) - y = earth_radius_major_axis * np.cos(lat_r) * np.sin(lon_r) - z = earth_radius_major_axis * np.sin(lat_r) + lon_r = radians(lon) + lat_r = radians(lat) - return np.column_stack([x, y, z])
+ x = earth_radius_major_axis * cos(lat_r) * cos(lon_r) + y = earth_radius_major_axis * cos(lat_r) * sin(lon_r) + z = earth_radius_major_axis * sin(lat_r) + return column_stack([x, y, z])
diff --git a/docs/build/html/_modules/nes/methods/horizontal_interpolation.html b/docs/build/html/_modules/nes/methods/horizontal_interpolation.html index 929849c39378dab212b3b828165357d362de967a..62c46dbd92aa3c7874ee57259abe7f2ac43d9c28 100644 --- a/docs/build/html/_modules/nes/methods/horizontal_interpolation.html +++ b/docs/build/html/_modules/nes/methods/horizontal_interpolation.html @@ -80,30 +80,28 @@ #!/usr/bin/env python import sys -import warnings -import numpy as np -import pandas as pd -from geopandas import GeoSeries import os import nes +from warnings import warn, filterwarnings +from numpy import (ma, empty, nansum, concatenate, pad, nan, array, float64, int64, float32, meshgrid, expand_dims, + reciprocal, arange, uint32, array_split, radians, cos, sin, column_stack, zeros) +from pandas import concat, DataFrame from mpi4py import MPI from scipy import spatial from filelock import FileLock from datetime import datetime -from warnings import warn -import copy -import pyproj +from copy import deepcopy +from pyproj import Proj, Transformer, CRS import gc -import psutil # CONSTANTS -NEAREST_OPTS = ['NearestNeighbour', 'NearestNeighbours', 'nn', 'NN'] -CONSERVATIVE_OPTS = ['Conservative', 'Area_Conservative', 'cons', 'conservative', 'area'] +NEAREST_OPTS = ["NearestNeighbour", "NearestNeighbours", "nn", "NN"] +CONSERVATIVE_OPTS = ["Conservative", "Area_Conservative", "cons", "conservative", "area"]
[docs] -def interpolate_horizontal(self, dst_grid, weight_matrix_path=None, kind='NearestNeighbour', n_neighbours=4, +def interpolate_horizontal(self, dst_grid, weight_matrix_path=None, kind="NearestNeighbour", n_neighbours=4, info=False, to_providentia=False, only_create_wm=False, wm=None, flux=False): """ Horizontal methods from one grid to another one. @@ -117,7 +115,7 @@ weight_matrix_path : str, None Path to the weight matrix to read/create. kind : str - Kind of horizontal interpolation. Accepted values: ['NearestNeighbour', 'Conservative']. + Kind of horizontal interpolation. Accepted values: ["NearestNeighbour", "Conservative"]. n_neighbours : int Used if kind == NearestNeighbour. Number of nearest neighbours to interpolate. Default: 4. info : bool @@ -131,36 +129,39 @@ flux : bool Indicates if you want to calculate the weight matrix for flux variables. """ - if info and self.master: print("Creating Weight Matrix") + # Obtain weight matrix - if self.parallel_method == 'T': - weights, idx = get_weights_idx_t_axis(self, dst_grid, weight_matrix_path, kind, n_neighbours, - only_create_wm, wm, flux) - elif self.parallel_method in ['Y', 'X']: - weights, idx = get_weights_idx_xy_axis(self, dst_grid, weight_matrix_path, kind, n_neighbours, - only_create_wm, wm, flux) + if self.parallel_method == "T": + weights, idx = __get_weights_idx_t_axis(self, dst_grid, weight_matrix_path, kind, n_neighbours, + only_create_wm, wm, flux) + elif self.parallel_method in ["Y", "X"]: + weights, idx = __get_weights_idx_xy_axis(self, dst_grid, weight_matrix_path, kind, n_neighbours, + only_create_wm, wm, flux) else: - raise NotImplemented("Parallel method {0} is not implemented yet for horizontal interpolations. Use 'T'".format( - self.parallel_method)) + raise NotImplementedError("Parallel method {0} is not implemented yet for horizontal interpolations.".format( + self.parallel_method) + "Use 'T'") + if info and self.master: print("Weight Matrix done!") if only_create_wm: # weights for only_create is the WM NES object return weights - # idx[idx < 0] = np.nan - idx = np.ma.masked_array(idx, mask=idx == -999) - # idx = np.array(idx, dtype=float) - # idx[idx < 0] = np.nan - # weights[weights < 0] = np.nan - weights = np.ma.masked_array(weights, mask=weights == -999) - # weights = np.array(weights, dtype=float) - # weights[weights < 0] = np.nan + # idx[idx < 0] = nan + idx = ma.masked_array(idx, mask=idx == -999) + # idx = array(idx, dtype=float) + # idx[idx < 0] = nan + # weights[weights < 0] = nan + weights = ma.masked_array(weights, mask=weights == -999) + # weights = array(weights, dtype=float) + # weights[weights < 0] = nan # Copy NES final_dst = dst_grid.copy() + + sys.stdout.flush() final_dst.set_communicator(dst_grid.comm) # Remove original file information @@ -170,9 +171,9 @@ # Return final_dst final_dst.lev = self.lev - final_dst._lev = self._lev + final_dst.set_full_levels(self.get_full_levels()) final_dst.time = self.time - final_dst._time = self._time + final_dst.set_full_times(self.get_full_times()) final_dst.hours_start = self.hours_start final_dst.hours_end = self.hours_end @@ -183,28 +184,28 @@ if info and self.master: print("\t{var} horizontal interpolation".format(var=var_name)) sys.stdout.flush() - src_shape = var_info['data'].shape + src_shape = var_info["data"].shape if isinstance(dst_grid, nes.PointsNes): dst_shape = (src_shape[0], src_shape[1], idx.shape[-1]) else: dst_shape = (src_shape[0], src_shape[1], idx.shape[-2], idx.shape[-1]) # Creating new variable without data final_dst.variables[var_name] = {attr_name: attr_value for attr_name, attr_value in var_info.items() - if attr_name != 'data'} + if attr_name != "data"} # Creating empty data - final_dst.variables[var_name]['data'] = np.empty(dst_shape) + final_dst.variables[var_name]["data"] = empty(dst_shape) - # src_data = var_info['data'].reshape((src_shape[0], src_shape[1], src_shape[2] * src_shape[3])) + # src_data = var_info["data"].reshape((src_shape[0], src_shape[1], src_shape[2] * src_shape[3])) for time in range(dst_shape[0]): for lev in range(dst_shape[1]): - src_aux = get_src_data(self.comm, var_info['data'][time, lev], idx, self.parallel_method) - final_dst.variables[var_name]['data'][time, lev] = np.nansum(weights * src_aux, axis=1) + src_aux = __get_src_data(self.comm, var_info["data"][time, lev], idx, self.parallel_method) + final_dst.variables[var_name]["data"][time, lev] = nansum(weights * src_aux, axis=1) if isinstance(dst_grid, nes.PointsNes): # Removing level axis if src_shape[1] != 1: raise IndexError("Data with vertical levels cannot be interpolated to points") - final_dst.variables[var_name]['data'] = final_dst.variables[var_name]['data'].reshape( + final_dst.variables[var_name]["data"] = final_dst.variables[var_name]["data"].reshape( (src_shape[0], idx.shape[-1])) if isinstance(dst_grid, nes.PointsNesGHOST) and not to_providentia: final_dst = final_dst.to_points() @@ -226,70 +227,64 @@ grid_edge_lat=grid_edge_lat) else: msg = "The final projection must be points to interpolate an experiment and get it in Providentia format." - warnings.warn(msg) + warn(msg) sys.stderr.flush() else: # Convert dimensions (time, lev, lat, lon) or (time, lat, lon) to (time, station) for interpolated variables # and reshape data if isinstance(final_dst, nes.PointsNes): for var_name, var_info in final_dst.variables.items(): - if len(var_info['dimensions']) != len(var_info['data'].shape): - final_dst.variables[var_name]['dimensions'] = ('time', 'station') + if len(var_info["dimensions"]) != len(var_info["data"].shape): + final_dst.variables[var_name]["dimensions"] = ("time", "station") return final_dst
-
-[docs] -def get_src_data(comm, var_data, idx, parallel_method): +def __get_src_data(comm, var_data, idx, parallel_method): """ To obtain the needed src data to interpolate. Parameters ---------- - comm : MPI.Communicator. + comm : MPI.Comm. MPI communicator. - var_data : np.array + var_data : array Rank source data. - idx : np.array + idx : array Index of the needed data in a 2D flatten way. parallel_method: str Source parallel method. Returns ------- - np.array + array Flatten source needed data. """ - if parallel_method == 'T': + if parallel_method == "T": var_data = var_data.flatten() else: var_data = comm.gather(var_data, root=0) if comm.Get_rank() == 0: - if parallel_method == 'Y': + if parallel_method == "Y": axis = 0 - elif parallel_method == 'X': + elif parallel_method == "X": axis = 1 else: raise NotImplementedError(parallel_method) - var_data = np.concatenate(var_data, axis=axis) + var_data = concatenate(var_data, axis=axis) var_data = var_data.flatten() var_data = comm.bcast(var_data) - var_data = np.pad(var_data, [1, 1], 'constant', constant_values=np.nan).take(idx + 1, mode='clip') - #var_data = np.take(var_data, idx) - - return var_data
+ var_data = pad(var_data, [1, 1], "constant", constant_values=nan).take(idx + 1, mode="clip") + return var_data # noinspection DuplicatedCode -
-[docs] -def get_weights_idx_t_axis(self, dst_grid, weight_matrix_path, kind, n_neighbours, only_create, wm, flux): +def __get_weights_idx_t_axis(self, dst_grid, weight_matrix_path, kind, n_neighbours, only_create, wm, flux): """ To obtain the weights and source data index through the T axis. @@ -302,7 +297,7 @@ weight_matrix_path : str, None Path to the weight matrix to read/create. kind : str - Kind of horizontal interpolation. Accepted values: ['NearestNeighbour', 'Conservative']. + Kind of horizontal interpolation. Accepted values: ["NearestNeighbour", "Conservative"]. n_neighbours : int Used if kind == NearestNeighbour. Number of nearest neighbours to interpolate. Default: 4. only_create : bool @@ -317,6 +312,7 @@ tuple Weights and source data index. """ + weight_matrix = None if wm is not None: weight_matrix = wm @@ -325,26 +321,26 @@ with FileLock(weight_matrix_path + "{0:03d}.lock".format(self.rank)): if os.path.isfile(weight_matrix_path): if self.master: - weight_matrix = read_weight_matrix(weight_matrix_path, comm=MPI.COMM_SELF) + weight_matrix = __read_weight_matrix(weight_matrix_path, comm=MPI.COMM_SELF) else: weight_matrix = True if kind in NEAREST_OPTS: if self.master: - if len(weight_matrix.lev['data']) != n_neighbours: + if len(weight_matrix.lev["data"]) != n_neighbours: warn("The selected weight matrix does not have the same number of nearest neighbours." + "Re-calculating again but not saving it.") sys.stderr.flush() - weight_matrix = create_nn_weight_matrix(self, dst_grid, n_neighbours=n_neighbours) + weight_matrix = __create_nn_weight_matrix(self, dst_grid, n_neighbours=n_neighbours) else: weight_matrix = True else: if self.master: if kind in NEAREST_OPTS: - weight_matrix = create_nn_weight_matrix(self, dst_grid, n_neighbours=n_neighbours, - wm_path=weight_matrix_path) + weight_matrix = __create_nn_weight_matrix(self, dst_grid, n_neighbours=n_neighbours, + wm_path=weight_matrix_path) elif kind in CONSERVATIVE_OPTS: - weight_matrix = create_area_conservative_weight_matrix( + weight_matrix = __create_area_conservative_weight_matrix( self, dst_grid, wm_path=weight_matrix_path, flux=flux) else: raise NotImplementedError(kind) @@ -356,9 +352,9 @@ else: if self.master: if kind in NEAREST_OPTS: - weight_matrix = create_nn_weight_matrix(self, dst_grid, n_neighbours=n_neighbours) + weight_matrix = __create_nn_weight_matrix(self, dst_grid, n_neighbours=n_neighbours) elif kind in CONSERVATIVE_OPTS: - weight_matrix = create_area_conservative_weight_matrix(self, dst_grid, flux=flux) + weight_matrix = __create_area_conservative_weight_matrix(self, dst_grid, flux=flux) else: raise NotImplementedError(kind) else: @@ -370,12 +366,12 @@ if self.master: if kind in NEAREST_OPTS: # Normalize to 1 - weights = np.array(np.array(weight_matrix.variables['weight']['data'], dtype=np.float64) / - np.array(weight_matrix.variables['weight']['data'], dtype=np.float64).sum(axis=1), - dtype=np.float64) + weights = array(array(weight_matrix.variables["weight"]["data"], dtype=float64) / + array(weight_matrix.variables["weight"]["data"], dtype=float64).sum(axis=1), + dtype=float64) else: - weights = np.array(weight_matrix.variables['weight']['data'], dtype=np.float64) - idx = np.array(weight_matrix.variables['idx']['data'][0], dtype=int) + weights = array(weight_matrix.variables["weight"]["data"], dtype=float64) + idx = array(weight_matrix.variables["idx"]["data"][0], dtype=int) else: weights = None idx = None @@ -383,14 +379,11 @@ weights = self.comm.bcast(weights, root=0) idx = self.comm.bcast(idx, root=0) - return weights, idx
- + return weights, idx # noinspection DuplicatedCode -
-[docs] -def get_weights_idx_xy_axis(self, dst_grid, weight_matrix_path, kind, n_neighbours, only_create, wm, flux): +def __get_weights_idx_xy_axis(self, dst_grid, weight_matrix_path, kind, n_neighbours, only_create, wm, flux): """ To obtain the weights and source data index through the X or Y axis. @@ -403,7 +396,7 @@ weight_matrix_path : str, None Path to the weight matrix to read/create. kind : str - Kind of horizontal interpolation. Accepted values: ['NearestNeighbour', 'Conservative']. + Kind of horizontal interpolation. Accepted values: ["NearestNeighbour", "Conservative"]. n_neighbours : int Used if kind == NearestNeighbour. Number of nearest neighbours to interpolate. Default: 4. only_create : bool @@ -418,6 +411,7 @@ tuple Weights and source data index. """ + weight_matrix = None if isinstance(dst_grid, nes.PointsNes) and weight_matrix_path is not None: if self.master: @@ -426,33 +420,33 @@ weight_matrix_path = None if wm is not None: - weight_matrix = wm + weight_matrix = wm elif weight_matrix_path is not None: with FileLock(weight_matrix_path + "{0:03d}.lock".format(self.rank)): if os.path.isfile(weight_matrix_path): if self.master: - weight_matrix = read_weight_matrix(weight_matrix_path, comm=MPI.COMM_SELF) + weight_matrix = __read_weight_matrix(weight_matrix_path, comm=MPI.COMM_SELF) else: weight_matrix = True if kind in NEAREST_OPTS: if self.master: - if len(weight_matrix.lev['data']) != n_neighbours: + if len(weight_matrix.lev["data"]) != n_neighbours: warn("The selected weight matrix does not have the same number of nearest neighbours." + "Re-calculating again but not saving it.") sys.stderr.flush() - weight_matrix = create_nn_weight_matrix(self, dst_grid, n_neighbours=n_neighbours) + weight_matrix = __create_nn_weight_matrix(self, dst_grid, n_neighbours=n_neighbours) else: weight_matrix = True else: if kind in NEAREST_OPTS: if self.master: - weight_matrix = create_nn_weight_matrix(self, dst_grid, n_neighbours=n_neighbours, - wm_path=weight_matrix_path) + weight_matrix = __create_nn_weight_matrix(self, dst_grid, n_neighbours=n_neighbours, + wm_path=weight_matrix_path) else: weight_matrix = True elif kind in CONSERVATIVE_OPTS: - weight_matrix = create_area_conservative_weight_matrix( + weight_matrix = __create_area_conservative_weight_matrix( self, dst_grid, wm_path=weight_matrix_path, flux=flux) else: raise NotImplementedError(kind) @@ -461,9 +455,12 @@ os.remove(weight_matrix_path + "{0:03d}.lock".format(self.rank)) else: if kind in NEAREST_OPTS: - weight_matrix = create_nn_weight_matrix(self, dst_grid, n_neighbours=n_neighbours) + if self.master: + weight_matrix = __create_nn_weight_matrix(self, dst_grid, n_neighbours=n_neighbours) + else: + weight_matrix = True elif kind in CONSERVATIVE_OPTS: - weight_matrix = create_area_conservative_weight_matrix(self, dst_grid, flux=flux) + weight_matrix = __create_area_conservative_weight_matrix(self, dst_grid, flux=flux) else: raise NotImplementedError(kind) @@ -473,12 +470,12 @@ # Normalize to 1 if self.master: if kind in NEAREST_OPTS: - weights = np.array(np.array(weight_matrix.variables['weight']['data'], dtype=np.float64) / - np.array(weight_matrix.variables['weight']['data'], dtype=np.float64).sum(axis=1), - dtype=np.float64) + weights = array(array(weight_matrix.variables["weight"]["data"], dtype=float64) / + array(weight_matrix.variables["weight"]["data"], dtype=float64).sum(axis=1), + dtype=float64) else: - weights = np.array(weight_matrix.variables['weight']['data'], dtype=np.float64) - idx = np.array(weight_matrix.variables['idx']['data'][0], dtype=np.int64) + weights = array(weight_matrix.variables["weight"]["data"], dtype=float64) + idx = array(weight_matrix.variables["idx"]["data"][0], dtype=int64) else: weights = None idx = None @@ -489,23 +486,20 @@ # if isinstance(dst_grid, nes.PointsNes): # print("weights 1 ->", weights.shape) # print("idx 1 ->", idx.shape) - # weights = weights[:, dst_grid.write_axis_limits['x_min']:dst_grid.write_axis_limits['x_max']] - # idx = idx[dst_grid.write_axis_limits['x_min']:dst_grid.write_axis_limits['x_max']] + # weights = weights[:, dst_grid.write_axis_limits["x_min"]:dst_grid.write_axis_limits["x_max"]] + # idx = idx[dst_grid.write_axis_limits["x_min"]:dst_grid.write_axis_limits["x_max"]] # else: - weights = weights[:, :, dst_grid.write_axis_limits['y_min']:dst_grid.write_axis_limits['y_max'], - dst_grid.write_axis_limits['x_min']:dst_grid.write_axis_limits['x_max']] - idx = idx[:, dst_grid.write_axis_limits['y_min']:dst_grid.write_axis_limits['y_max'], - dst_grid.write_axis_limits['x_min']:dst_grid.write_axis_limits['x_max']] + weights = weights[:, :, dst_grid.write_axis_limits["y_min"]:dst_grid.write_axis_limits["y_max"], + dst_grid.write_axis_limits["x_min"]:dst_grid.write_axis_limits["x_max"]] + idx = idx[:, dst_grid.write_axis_limits["y_min"]:dst_grid.write_axis_limits["y_max"], + dst_grid.write_axis_limits["x_min"]:dst_grid.write_axis_limits["x_max"]] # print("weights 2 ->", weights.shape) # print("idx 2 ->", idx.shape) - return weights, idx
- + return weights, idx -
-[docs] -def read_weight_matrix(weight_matrix_path, comm=None, parallel_method='T'): +def __read_weight_matrix(weight_matrix_path, comm=None, parallel_method="T"): """ Read weight matrix. @@ -513,8 +507,8 @@ ---------- weight_matrix_path : str Path of the weight matrix. - comm : MPI.Communicator - Communicator to read the weight matrix. + comm : MPI.Comm + A Communicator to read the weight matrix. parallel_method : str Nes parallel method to read the weight matrix. @@ -528,19 +522,17 @@ weight_matrix.load() # In previous versions of NES weight was called inverse_dists - if 'inverse_dists' in weight_matrix.variables.keys(): - weight_matrix.variables['weight'] = weight_matrix.variables['inverse_dists'] + if "inverse_dists" in weight_matrix.variables.keys(): + weight_matrix.variables["weight"] = weight_matrix.variables["inverse_dists"] - weight_matrix.variables['weight']['data'][weight_matrix.variables['weight']['data'] <= 0] = np.nan - weight_matrix.variables['weight']['data'][weight_matrix.variables['idx']['data'] <= 0] = np.nan + weight_matrix.variables["weight"]["data"][weight_matrix.variables["weight"]["data"] <= 0] = nan + weight_matrix.variables["weight"]["data"][weight_matrix.variables["idx"]["data"] <= 0] = nan - return weight_matrix
+ return weight_matrix - -
-[docs] -def create_nn_weight_matrix(self, dst_grid, n_neighbours=4, wm_path=None, info=False): +# noinspection DuplicatedCode,PyProtectedMember +def __create_nn_weight_matrix(self, dst_grid, n_neighbours=4, wm_path=None, info=False): """ To create the weight matrix with the nearest neighbours method. @@ -562,32 +554,32 @@ nes.Nes Weight matrix. """ - + # Only master is here. if info and self.master: print("\tCreating Nearest Neighbour Weight Matrix with {0} neighbours".format(n_neighbours)) sys.stdout.flush() # Source - src_lat = np.array(self._lat['data'], dtype=np.float32) - src_lon = np.array(self._lon['data'], dtype=np.float32) + src_lat = array(self._full_lat["data"], dtype=float32) + src_lon = array(self._full_lon["data"], dtype=float32) # 1D to 2D coordinates if len(src_lon.shape) == 1: - src_lon, src_lat = np.meshgrid(src_lon, src_lat) + src_lon, src_lat = meshgrid(src_lon, src_lat) # Destination - dst_lat = np.array(dst_grid._lat['data'], dtype=np.float32) - dst_lon = np.array(dst_grid._lon['data'], dtype=np.float32) + dst_lat = array(dst_grid._full_lat["data"], dtype=float32) + dst_lon = array(dst_grid._full_lon["data"], dtype=float32) if isinstance(dst_grid, nes.PointsNes): - dst_lat = np.expand_dims(dst_grid._lat['data'], axis=0) - dst_lon = np.expand_dims(dst_grid._lon['data'], axis=0) + dst_lat = expand_dims(dst_grid._full_lat["data"], axis=0) + dst_lon = expand_dims(dst_grid._full_lon["data"], axis=0) else: # 1D to 2D coordinates if len(dst_lon.shape) == 1: - dst_lon, dst_lat = np.meshgrid(dst_lon, dst_lat) + dst_lon, dst_lat = meshgrid(dst_lon, dst_lat) # calculate N nearest neighbour inverse distance weights (and indices) - # from gridcells centres of model 1 to each gridcell centre of model 2 + # from gridcells centres of model 1 to each grid cell centre of model 2 # model geographic longitude/latitude coordinates are first converted # to cartesian ECEF (Earth Centred, Earth Fixed) coordinates, before # calculating distances. @@ -595,24 +587,24 @@ # src_mod_xy = lon_lat_to_cartesian(src_lon.flatten(), src_lat.flatten()) # dst_mod_xy = lon_lat_to_cartesian(dst_lon.flatten(), dst_lat.flatten()) - src_mod_xy = lon_lat_to_cartesian_ecef(src_lon.flatten(), src_lat.flatten()) - dst_mod_xy = lon_lat_to_cartesian_ecef(dst_lon.flatten(), dst_lat.flatten()) + src_mod_xy = __lon_lat_to_cartesian_ecef(src_lon.flatten(), src_lat.flatten()) + dst_mod_xy = __lon_lat_to_cartesian_ecef(dst_lon.flatten(), dst_lat.flatten()) # generate KDtree using model 1 coordinates (i.e. the model grid you are # interpolating from) src_tree = spatial.cKDTree(src_mod_xy) - # get n-neighbour nearest distances/indices (ravel form) of model 1 gridcell - # centres from each model 2 gridcell centre + # get n-neighbour nearest distances/indices (ravel form) of model 1 grid cell + # centres from each model 2 grid cell centre dists, idx = src_tree.query(dst_mod_xy, k=n_neighbours) # self.nearest_neighbour_inds = \ - # np.column_stack(np.unravel_index(idx, lon.shape)) + # column_stack(unravel_index(idx, lon.shape)) weight_matrix = dst_grid.copy() weight_matrix.time = [datetime(year=2000, month=1, day=1, hour=0, second=0, microsecond=0)] - weight_matrix._time = [datetime(year=2000, month=1, day=1, hour=0, second=0, microsecond=0)] - weight_matrix._time_bnds = None + weight_matrix._full_time = [datetime(year=2000, month=1, day=1, hour=0, second=0, microsecond=0)] + weight_matrix._full_time_bnds = None weight_matrix.time_bnds = None weight_matrix.last_level = None weight_matrix.first_level = 0 @@ -622,24 +614,22 @@ weight_matrix.set_communicator(MPI.COMM_SELF) # take the reciprocals of the nearest neighbours distances dists[dists < 1] = 1 - inverse_dists = np.reciprocal(dists) + inverse_dists = reciprocal(dists) inverse_dists_transf = inverse_dists.T.reshape((1, n_neighbours, dst_lon.shape[0], dst_lon.shape[1])) - weight_matrix.variables['weight'] = {'data': inverse_dists_transf, 'units': 'm'} + weight_matrix.variables["weight"] = {"data": inverse_dists_transf, "units": "m"} idx_transf = idx.T.reshape((1, n_neighbours, dst_lon.shape[0], dst_lon.shape[1])) - weight_matrix.variables['idx'] = {'data': idx_transf, 'units': ''} - weight_matrix.lev = {'data': np.arange(inverse_dists_transf.shape[1]), 'units': ''} - weight_matrix._lev = {'data': np.arange(inverse_dists_transf.shape[1]), 'units': ''} + weight_matrix.variables["idx"] = {"data": idx_transf, "units": ""} + weight_matrix.lev = {"data": arange(inverse_dists_transf.shape[1]), "units": ""} + weight_matrix._full_lev = {"data": arange(inverse_dists_transf.shape[1]), "units": ""} if wm_path is not None: weight_matrix.to_netcdf(wm_path) - return weight_matrix
+ return weight_matrix - -
-[docs] -def create_area_conservative_weight_matrix(self, dst_nes, wm_path=None, flux=False, info=False): +# noinspection DuplicatedCode +def __create_area_conservative_weight_matrix(self, dst_nes, wm_path=None, flux=False, info=False): """ To create the weight matrix with the area conservative method. @@ -666,49 +656,49 @@ print("\tCreating area conservative Weight Matrix") sys.stdout.flush() - my_crs = pyproj.CRS.from_proj4("+proj=latlon") # Common projection for both shapefiles + my_crs = CRS.from_proj4("+proj=latlon") # Common projection for both shapefiles # Get a portion of the destiny grid if dst_nes.shapefile is None: dst_nes.create_shapefile() - dst_grid = copy.deepcopy(dst_nes.shapefile) + dst_grid = deepcopy(dst_nes.shapefile) # Formatting Destination grid dst_grid.to_crs(crs=my_crs, inplace=True) - dst_grid['FID_dst'] = dst_grid.index + dst_grid["FID_dst"] = dst_grid.index # Preparing Source grid if self.shapefile is None: self.create_shapefile() - src_grid = copy.deepcopy(self.shapefile) + src_grid = deepcopy(self.shapefile) # Formatting Source grid src_grid.to_crs(crs=my_crs, inplace=True) # Serialize index intersection function to avoid memory problems - if self.size > 1 and self.parallel_method != 'T': + if self.size > 1 and self.parallel_method != "T": src_grid = self.comm.gather(src_grid, root=0) dst_grid = self.comm.gather(dst_grid, root=0) if self.master: - src_grid = pd.concat(src_grid) - dst_grid = pd.concat(dst_grid) + src_grid = concat(src_grid) + dst_grid = concat(dst_grid) if self.master: - src_grid['FID_src'] = src_grid.index + src_grid["FID_src"] = src_grid.index src_grid = src_grid.reset_index() dst_grid = dst_grid.reset_index() - fid_src, fid_dst = dst_grid.sindex.query_bulk(src_grid.geometry, predicate='intersects') + fid_src, fid_dst = dst_grid.sindex.query(src_grid.geometry, predicate="intersects") # Calculate intersected areas and fractions - intersection_df = pd.DataFrame(columns=["FID_src", "FID_dst"]) + intersection_df = DataFrame(columns=["FID_src", "FID_dst"]) - intersection_df['FID_src'] = np.array(src_grid.loc[fid_src, 'FID_src'], dtype=np.uint32) - intersection_df['FID_dst'] = np.array(dst_grid.loc[fid_dst, 'FID_dst'], dtype=np.uint32) + intersection_df["FID_src"] = array(src_grid.loc[fid_src, "FID_src"], dtype=uint32) + intersection_df["FID_dst"] = array(dst_grid.loc[fid_dst, "FID_dst"], dtype=uint32) - intersection_df['geometry_src'] = src_grid.loc[fid_src, 'geometry'].values - intersection_df['geometry_dst'] = dst_grid.loc[fid_dst, 'geometry'].values + intersection_df["geometry_src"] = src_grid.loc[fid_src, "geometry"].values + intersection_df["geometry_dst"] = dst_grid.loc[fid_dst, "geometry"].values del src_grid, dst_grid, fid_src, fid_dst # Split the array into smaller arrays in order to scatter the data among the processes - intersection_df = np.array_split(intersection_df, self.size) + intersection_df = array_split(intersection_df, self.size) else: intersection_df = None @@ -719,25 +709,24 @@ sys.stdout.flush() if True: # No Warnings Zone - warnings.filterwarnings('ignore') - # intersection_df['weight'] = np.array(intersection_df.apply( - # lambda x: x['geometry_src'].intersection(x['geometry_dst']).buffer(0).area / x['geometry_src'].area, - # axis=1), dtype=np.float64) + filterwarnings("ignore") + # intersection_df["weight"] = array(intersection_df.apply( + # lambda x: x["geometry_src"].intersection(x["geometry_dst"]).buffer(0).area / x["geometry_src"].area, + # axis=1), dtype=float64) if flux: - intersection_df['weight'] = np.array(intersection_df.apply( - lambda x: (x['geometry_src'].intersection(x['geometry_dst']).buffer(0).area / x['geometry_src'].area) * - (nes.Nes.calculate_geometry_area([x['geometry_src']])[0] / - nes.Nes.calculate_geometry_area([x['geometry_dst']])[0]), - axis=1), dtype=np.float64) + intersection_df["weight"] = array(intersection_df.apply( + lambda x: (x["geometry_src"].intersection(x["geometry_dst"]).buffer(0).area / x["geometry_src"].area) * + (nes.Nes.calculate_geometry_area([x["geometry_src"]])[0] / + nes.Nes.calculate_geometry_area([x["geometry_dst"]])[0]), + axis=1), dtype=float64) else: - intersection_df['weight'] = np.array(intersection_df.apply( - lambda x: x['geometry_src'].intersection(x['geometry_dst']).buffer(0).area / x['geometry_src'].area, - axis=1), dtype=np.float64) - + intersection_df["weight"] = array(intersection_df.apply( + lambda x: x["geometry_src"].intersection(x["geometry_dst"]).buffer(0).area / x["geometry_src"].area, + axis=1), dtype=float64) intersection_df.drop(columns=["geometry_src", "geometry_dst"], inplace=True) gc.collect() - warnings.filterwarnings('default') + filterwarnings("default") # Format & Clean if info and self.master: @@ -745,18 +734,18 @@ sys.stdout.flush() # Initialising weight matrix - if self.parallel_method != 'T': + if self.parallel_method != "T": intersection_df = self.comm.gather(intersection_df, root=0) if self.master: - if self.parallel_method != 'T': - intersection_df = pd.concat(intersection_df) - intersection_df = intersection_df.set_index(['FID_dst', intersection_df.groupby('FID_dst').cumcount()]).rename_axis( - ('FID', 'level')).sort_index() + if self.parallel_method != "T": + intersection_df = concat(intersection_df) + intersection_df = intersection_df.set_index( + ["FID_dst", intersection_df.groupby("FID_dst").cumcount()]).rename_axis(("FID", "level")).sort_index() intersection_df.rename(columns={"FID_src": "idx"}, inplace=True) weight_matrix = dst_nes.copy() weight_matrix.time = [datetime(year=2000, month=1, day=1, hour=0, second=0, microsecond=0)] - weight_matrix._time = [datetime(year=2000, month=1, day=1, hour=0, second=0, microsecond=0)] - weight_matrix._time_bnds = None + weight_matrix._full_time = [datetime(year=2000, month=1, day=1, hour=0, second=0, microsecond=0)] + weight_matrix._full_time_bnds = None weight_matrix.time_bnds = None weight_matrix.last_level = None weight_matrix.first_level = 0 @@ -765,36 +754,29 @@ weight_matrix.set_communicator(MPI.COMM_SELF) - weight_matrix.set_levels({'data': np.arange(intersection_df.index.get_level_values('level').max() + 1), - 'dimensions': ('lev',), - 'units': '', - 'positive': 'up'}) + weight_matrix.set_levels({"data": arange(intersection_df.index.get_level_values("level").max() + 1), + "dimensions": ("lev",), + "units": "", + "positive": "up"}) # Creating Weight matrix empty variables - if len(weight_matrix._lat['data'].shape) == 1: - shape = (1, len(weight_matrix.lev['data']), - weight_matrix._lat['data'].shape[0], weight_matrix._lon['data'].shape[0],) - shape_flat = (1, len(weight_matrix.lev['data']), - weight_matrix._lat['data'].shape[0] * weight_matrix._lon['data'].shape[0],) - else: - shape = (1, len(weight_matrix.lev['data']), - weight_matrix._lat['data'].shape[0], weight_matrix._lat['data'].shape[1],) - shape_flat = (1, len(weight_matrix.lev['data']), - weight_matrix._lat['data'].shape[0] * weight_matrix._lat['data'].shape[1],) + wm_shape = weight_matrix.get_full_shape() + shape = (1, len(weight_matrix.lev["data"]), wm_shape[0], wm_shape[1],) + shape_flat = (1, len(weight_matrix.lev["data"]), wm_shape[0] * wm_shape[1],) - weight_matrix.variables['weight'] = {'data': np.empty(shape_flat), 'units': '-'} - weight_matrix.variables['weight']['data'][:] = -999 - weight_matrix.variables['idx'] = {'data': np.empty(shape_flat), 'units': '-'} - weight_matrix.variables['idx']['data'][:] = -999 + weight_matrix.variables["weight"] = {"data": empty(shape_flat), "units": "-"} + weight_matrix.variables["weight"]["data"][:] = -999 + weight_matrix.variables["idx"] = {"data": empty(shape_flat), "units": "-"} + weight_matrix.variables["idx"]["data"][:] = -999 # Filling Weight matrix variables - for aux_lev in weight_matrix.lev['data']: - aux_data = intersection_df.xs(level='level', key=aux_lev) - weight_matrix.variables['weight']['data'][0, aux_lev, aux_data.index] = aux_data.loc[:, 'weight'].values - weight_matrix.variables['idx']['data'][0, aux_lev, aux_data.index] = aux_data.loc[:, 'idx'].values + for aux_lev in weight_matrix.lev["data"]: + aux_data = intersection_df.xs(level="level", key=aux_lev) + weight_matrix.variables["weight"]["data"][0, aux_lev, aux_data.index] = aux_data.loc[:, "weight"].values + weight_matrix.variables["idx"]["data"][0, aux_lev, aux_data.index] = aux_data.loc[:, "idx"].values # Re-shaping - weight_matrix.variables['weight']['data'] = weight_matrix.variables['weight']['data'].reshape(shape) - weight_matrix.variables['idx']['data'] = weight_matrix.variables['idx']['data'].reshape(shape) + weight_matrix.variables["weight"]["data"] = weight_matrix.variables["weight"]["data"].reshape(shape) + weight_matrix.variables["idx"]["data"] = weight_matrix.variables["idx"]["data"].reshape(shape) if wm_path is not None: if info and self.master: print("\t\tWeight matrix saved at {0}".format(wm_path)) @@ -802,13 +784,11 @@ weight_matrix.to_netcdf(wm_path) else: weight_matrix = True - return weight_matrix
- + return weight_matrix -
-[docs] -def lon_lat_to_cartesian(lon, lat, radius=6378137.0): +# noinspection DuplicatedCode +def __lon_lat_to_cartesian(lon, lat, radius=6378137.0): """ Calculate lon, lat coordinates of a point on a sphere. @@ -816,54 +796,52 @@ Parameters ---------- - lon : np.array + lon : array Longitude values. - lat : np.array + lat : array Latitude values. radius : float Radius of the sphere to get the distances. """ - lon_r = np.radians(lon) - lat_r = np.radians(lat) - - x = radius * np.cos(lat_r) * np.cos(lon_r) - y = radius * np.cos(lat_r) * np.sin(lon_r) - z = radius * np.sin(lat_r) + lon_r = radians(lon) + lat_r = radians(lat) - return np.column_stack([x, y, z])
+ x = radius * cos(lat_r) * cos(lon_r) + y = radius * cos(lat_r) * sin(lon_r) + z = radius * sin(lat_r) + return column_stack([x, y, z]) -
-[docs] -def lon_lat_to_cartesian_ecef(lon, lat): +def __lon_lat_to_cartesian_ecef(lon, lat): """ Convert observational/model geographic longitude/latitude coordinates to cartesian ECEF (Earth Centred, Earth Fixed) coordinates, assuming WGS84 datum and ellipsoid, and that all heights = 0. - ECEF coordiantes represent positions (in meters) as X, Y, Z coordinates, approximating the earth surface + ECEF coordinates represent positions (in meters) as X, Y, Z coordinates, approximating the earth surface as an ellipsoid of revolution. - This conversion is for the subsequent calculation of euclidean distances of the model gridcell centres + This conversion is for the subsequent calculation of Euclidean distances of the model grid cell centres from each observational station. - Defining the distance between two points on the earth's surface as simply the euclidean distance + Defining the distance between two points on the earth's surface as simply the Euclidean distance between the two lat/lon pairs could lead to inaccurate results depending on the distance between two points (i.e. 1 deg. of longitude varies with latitude). Parameters ---------- - lon : np.array + lon : array Longitude values. - lat : np.array + lat : array Latitude values. """ - lla = pyproj.Proj(proj='latlong', ellps='WGS84', datum='WGS84') - ecef = pyproj.Proj(proj='geocent', ellps='WGS84', datum='WGS84') - - x, y, z = pyproj.transform(lla, ecef, lon, lat, np.zeros(lon.shape), radians=False) - - return np.column_stack([x, y, z])
- + lla = Proj(proj="latlong", ellps="WGS84", datum="WGS84") + ecef = Proj(proj="geocent", ellps="WGS84", datum="WGS84") + + # x, y, z = pyproj.transform(lla, ecef, lon, lat, zeros(lon.shape), radians=False) + # Deprecated: https://pyproj4.github.io/pyproj/stable/gotchas.html#upgrading-to-pyproj-2-from-pyproj-1 + transformer = Transformer.from_proj(lla, ecef) + x, y, z = transformer.transform(lon, lat, zeros(lon.shape), radians=False) + return column_stack([x, y, z])
diff --git a/docs/build/html/_modules/nes/methods/spatial_join.html b/docs/build/html/_modules/nes/methods/spatial_join.html index d3cf43a1ab25d5f7d9a89523404ec885b7130b33..55d3f01fb315f4e78f6a4fc8c63eb5810c92c897 100644 --- a/docs/build/html/_modules/nes/methods/spatial_join.html +++ b/docs/build/html/_modules/nes/methods/spatial_join.html @@ -80,13 +80,11 @@ #!/usr/bin/env python import sys -import warnings -import geopandas as gpd -from geopandas import GeoDataFrame -import nes -import numpy as np -import pandas as pd -from shapely.geos import TopologicalError +from warnings import warn, filterwarnings +from geopandas import sjoin_nearest, sjoin, read_file +from pandas import DataFrame +from numpy import array, uint32, nan +from shapely.errors import TopologicalError
@@ -98,11 +96,11 @@ Parameters ---------- self : nes.Nes - Nes Object. + A Nes Object. ext_shp : GeoPandasDataFrame or str File or path from where the data will be obtained on the intersection. method : str - Overlay method. Accepted values: ['nearest', 'intersection', 'centroid']. + Overlay method. Accepted values: ["nearest", "intersection", "centroid"]. var_list : List or None or str Variables that will be included in the resulting shapefile. info : bool @@ -124,30 +122,28 @@ sys.stdout.flush() self.create_shapefile() - ext_shp = prepare_external_shapefile(self, ext_shp=ext_shp, var_list=var_list, info=info, - apply_bbox=apply_bbox) + ext_shp = __prepare_external_shapefile(self, ext_shp=ext_shp, var_list=var_list, info=info, + apply_bbox=apply_bbox) - if method == 'nearest': + if method == "nearest": # Nearest centroids to the shapefile polygons - spatial_join_nearest(self, ext_shp=ext_shp, info=info) - elif method == 'intersection': + __spatial_join_nearest(self, ext_shp=ext_shp, info=info) + elif method == "intersection": # Intersect the areas of the shapefile polygons, outside the shapefile there will be NaN - spatial_join_intersection(self, ext_shp=ext_shp, info=info) - elif method == 'centroid': + __spatial_join_intersection(self, ext_shp=ext_shp, info=info) + elif method == "centroid": # Centroids that fall on the shapefile polygons, outside the shapefile there will be NaN - spatial_join_centroid(self, ext_shp=ext_shp, info=info) + __spatial_join_centroid(self, ext_shp=ext_shp, info=info) else: - accepted_values = ['nearest', 'intersection', 'centroid'] - raise NotImplementedError('{0} is not implemented. Choose from: {1}'.format(method, accepted_values)) + accepted_values = ["nearest", "intersection", "centroid"] + raise NotImplementedError("{0} is not implemented. Choose from: {1}".format(method, accepted_values)) return None
-
-[docs] -def prepare_external_shapefile(self, ext_shp, var_list, info=False, apply_bbox=True): +def __prepare_external_shapefile(self, ext_shp, var_list, info=False, apply_bbox=True): """ Prepare the external shapefile. @@ -160,8 +156,8 @@ Parameters ---------- self : nes.Nes - Nes Object. - ext_shp : GeoDataFrame or str + A Nes Object. + ext_shp : geopandas.GeoDataFrame or str External shapefile or path to it. var_list : List[str] or None External shapefile variables to be computed. @@ -180,20 +176,20 @@ # Reading external shapefile if self.master and info: print("\tReading external shapefile") - # ext_shp = gpd.read_file(ext_shp, include_fields=var_list, mask=self.shapefile.geometry) + # ext_shp = read_file(ext_shp, include_fields=var_list, mask=self.shapefile.geometry) if apply_bbox: - ext_shp = gpd.read_file(ext_shp, include_fields=var_list, bbox=get_bbox(self)) + ext_shp = read_file(ext_shp, include_fields=var_list, bbox=__get_bbox(self)) else: - ext_shp = gpd.read_file(ext_shp, include_fields=var_list) + ext_shp = read_file(ext_shp, include_fields=var_list) else: msg = "WARNING!!! " msg += "External shapefile already read. If you pass the path to the shapefile instead of the opened shapefile " msg += "a best usage of memory is performed because the external shape will be clipped while reading." - warnings.warn(msg) + warn(msg) sys.stderr.flush() ext_shp.reset_index(inplace=True) if var_list is not None: - ext_shp = ext_shp.loc[:, var_list + ['geometry']] + ext_shp = ext_shp.loc[:, var_list + ["geometry"]] self.comm.Barrier() if self.master and info: @@ -202,20 +198,17 @@ # Standardizing projection ext_shp = ext_shp.to_crs(self.shapefile.crs) - return ext_shp
+ return ext_shp - -
-[docs] -def get_bbox(self): +def __get_bbox(self): """ Obtain the bounding box of the rank data (lon_min, lat_min, lon_max, lat_max). Parameters ---------- self : nes.Nes - Nes Object. + A Nes Object. Returns ------- @@ -223,23 +216,21 @@ Bounding box """ - bbox = (self.lon_bnds['data'].min(), self.lat_bnds['data'].min(), - self.lon_bnds['data'].max(), self.lat_bnds['data'].max(), ) + bbox = (self.lon_bnds["data"].min(), self.lat_bnds["data"].min(), + self.lon_bnds["data"].max(), self.lat_bnds["data"].max(), ) - return bbox
- + return bbox -
-[docs] -def spatial_join_nearest(self, ext_shp, info=False): +# noinspection DuplicatedCode +def __spatial_join_nearest(self, ext_shp, info=False): """ Perform the spatial join using the nearest method. Parameters ---------- self : nes.Nes - Nes Object. + A Nes Object. ext_shp : GeoDataFrame External shapefile. info : bool @@ -255,35 +246,33 @@ # TODO: Check if the projection 4328 does not distort the coordinates too much # https://gis.stackexchange.com/questions/372564/ # userwarning-when-trying-to-get-centroid-from-a-polygon-geopandas - # ext_shp = ext_shp.to_crs('EPSG:4328') - # grid_shp = grid_shp.to_crs('EPSG:4328') + # ext_shp = ext_shp.to_crs("EPSG:4328") + # grid_shp = grid_shp.to_crs("EPSG:4328") # Calculate spatial joint by distance - aux_grid = gpd.sjoin_nearest(grid_shp, ext_shp, distance_col='distance') + aux_grid = sjoin_nearest(grid_shp, ext_shp, distance_col="distance") # Get data from closest shapes to centroids - del aux_grid['geometry'], aux_grid['index_right'] + del aux_grid["geometry"], aux_grid["index_right"] self.shapefile.loc[aux_grid.index, aux_grid.columns] = aux_grid var_list = list(ext_shp.columns) - var_list.remove('geometry') + var_list.remove("geometry") for var_name in var_list: - self.shapefile.loc[:, var_name] = np.array(self.shapefile.loc[:, var_name], dtype=ext_shp[var_name].dtype) - - return None
+ self.shapefile.loc[:, var_name] = array(self.shapefile.loc[:, var_name], dtype=ext_shp[var_name].dtype) + return None -
-[docs] -def spatial_join_centroid(self, ext_shp, info=False): +# noinspection DuplicatedCode +def __spatial_join_centroid(self, ext_shp, info=False): """ Perform the spatial join using the centroid method. Parameters ---------- self : nes.Nes - Nes Object. + A Nes Object. ext_shp : GeoDataFrame External shapefile. info : bool @@ -304,31 +293,28 @@ if info and self.master: print("\t\tCalculating centroid spatial join") sys.stdout.flush() - aux_grid = gpd.sjoin(grid_shp, ext_shp, predicate='within') + aux_grid = sjoin(grid_shp, ext_shp, predicate="within") # Get data from shapes where there are centroids, rest will be NaN - del aux_grid['geometry'], aux_grid['index_right'] + del aux_grid["geometry"], aux_grid["index_right"] self.shapefile.loc[aux_grid.index, aux_grid.columns] = aux_grid var_list = list(ext_shp.columns) - var_list.remove('geometry') + var_list.remove("geometry") for var_name in var_list: - self.shapefile.loc[:, var_name] = np.array(self.shapefile.loc[:, var_name], dtype=ext_shp[var_name].dtype) - - return None
+ self.shapefile.loc[:, var_name] = array(self.shapefile.loc[:, var_name], dtype=ext_shp[var_name].dtype) + return None -
-[docs] -def spatial_join_intersection(self, ext_shp, info=False): +def __spatial_join_intersection(self, ext_shp, info=False): """ Perform the spatial join using the intersection method. Parameters ---------- self : nes.Nes - Nes Object. + A Nes Object. ext_shp : GeoDataFrame External shapefile. info : bool @@ -336,70 +322,69 @@ """ var_list = list(ext_shp.columns) - var_list.remove('geometry') + var_list.remove("geometry") grid_shp = self.shapefile - grid_shp['FID_grid'] = grid_shp.index + grid_shp["FID_grid"] = grid_shp.index grid_shp = grid_shp.reset_index() # Get intersected areas - # inp, res = ext_shp.sindex.query_bulk(grid_shp.geometry, predicate='intersects') - inp, res = grid_shp.sindex.query_bulk(ext_shp.geometry, predicate='intersects') + # inp, res = ext_shp.sindex.query(grid_shp.geometry, predicate="intersects") + inp, res = grid_shp.sindex.query(ext_shp.geometry, predicate="intersects") if info: - print('\t\tRank {0:03d}: {1} intersected areas found'.format(self.rank, len(inp))) + print("\t\tRank {0:03d}: {1} intersected areas found".format(self.rank, len(inp))) sys.stdout.flush() # Calculate intersected areas and fractions - intersection = pd.DataFrame(columns=['FID', 'ext_shp_id', 'weight']) - intersection['FID'] = np.array(grid_shp.loc[res, 'FID_grid'], dtype=np.uint32) - intersection['ext_shp_id'] = np.array(inp, dtype=np.uint32) + intersection = DataFrame(columns=["FID", "ext_shp_id", "weight"]) + intersection["FID"] = array(grid_shp.loc[res, "FID_grid"], dtype=uint32) + intersection["ext_shp_id"] = array(inp, dtype=uint32) if len(intersection) > 0: if True: # No Warnings Zone - counts = intersection['FID'].value_counts() - warnings.filterwarnings('ignore') - intersection.loc[:, 'weight'] = 1. + counts = intersection["FID"].value_counts() + filterwarnings("ignore") + intersection.loc[:, "weight"] = 1. for i, row in intersection.iterrows(): if isinstance(i, int) and i % 1000 == 0 and info: - print('\t\t\tRank {0:03d}: {1:.3f} %'.format(self.rank, i * 100 / len(intersection))) + print("\t\t\tRank {0:03d}: {1:.3f} %".format(self.rank, i * 100 / len(intersection))) sys.stdout.flush() # Filter to do not calculate percentages over 100% grid cells spatial joint - if counts[row['FID']] > 1: + if counts[row["FID"]] > 1: try: - intersection.loc[i, 'weight'] = grid_shp.loc[res[i], 'geometry'].intersection( - ext_shp.loc[inp[i], 'geometry']).area / grid_shp.loc[res[i], 'geometry'].area + intersection.loc[i, "weight"] = grid_shp.loc[res[i], "geometry"].intersection( + ext_shp.loc[inp[i], "geometry"]).area / grid_shp.loc[res[i], "geometry"].area except TopologicalError: # If for some reason the geometry is corrupted it should work with the buffer function - ext_shp.loc[[inp[i]], 'geometry'] = ext_shp.loc[[inp[i]], 'geometry'].buffer(0) - intersection.loc[i, 'weight'] = grid_shp.loc[res[i], 'geometry'].intersection( - ext_shp.loc[inp[i], 'geometry']).area / grid_shp.loc[res[i], 'geometry'].area - # intersection['intersect_area'] = intersection.apply( - # lambda x: x['geometry_grid'].intersection(x['geometry_ext']).area, axis=1) - intersection.drop(intersection[intersection['weight'] <= 0].index, inplace=True) + ext_shp.loc[[inp[i]], "geometry"] = ext_shp.loc[[inp[i]], "geometry"].buffer(0) + intersection.loc[i, "weight"] = grid_shp.loc[res[i], "geometry"].intersection( + ext_shp.loc[inp[i], "geometry"]).area / grid_shp.loc[res[i], "geometry"].area + # intersection["intersect_area"] = intersection.apply( + # lambda x: x["geometry_grid"].intersection(x["geometry_ext"]).area, axis=1) + intersection.drop(intersection[intersection["weight"] <= 0].index, inplace=True) - warnings.filterwarnings('default') + filterwarnings("default") # Choose the biggest area from intersected areas with multiple options - intersection.sort_values('weight', ascending=False, inplace=True) - intersection = intersection.drop_duplicates(subset='FID', keep="first") - intersection = intersection.sort_values('FID').set_index('FID') + intersection.sort_values("weight", ascending=False, inplace=True) + intersection = intersection.drop_duplicates(subset="FID", keep="first") + intersection = intersection.sort_values("FID").set_index("FID") for var_name in var_list: - self.shapefile.loc[intersection.index, var_name] = np.array( - ext_shp.loc[intersection['ext_shp_id'], var_name]) + self.shapefile.loc[intersection.index, var_name] = array( + ext_shp.loc[intersection["ext_shp_id"], var_name]) else: for var_name in var_list: - self.shapefile.loc[:, var_name] = np.nan + self.shapefile.loc[:, var_name] = nan for var_name in var_list: - self.shapefile.loc[:, var_name] = np.array(self.shapefile.loc[:, var_name], dtype=ext_shp[var_name].dtype) + self.shapefile.loc[:, var_name] = array(self.shapefile.loc[:, var_name], dtype=ext_shp[var_name].dtype) - return None
- + return None diff --git a/docs/build/html/_modules/nes/methods/vertical_interpolation.html b/docs/build/html/_modules/nes/methods/vertical_interpolation.html index c2defa792db4dc1d0b6a3c238b7cff8dd121b2eb..36fcc0304b48b233449783900e5866c77147e97c 100644 --- a/docs/build/html/_modules/nes/methods/vertical_interpolation.html +++ b/docs/build/html/_modules/nes/methods/vertical_interpolation.html @@ -80,9 +80,8 @@ #!/usr/bin/env python import sys -import nes +from numpy import nan, flip, cumsum, nanmean, empty, ndarray, ma, float64, array, interp, where from scipy.interpolate import interp1d -import numpy as np from copy import copy @@ -108,9 +107,72 @@ +def __parse_extrapolate(extrapolate) -> tuple: + """ + Parses the "extrapolate" parameter and returns a tuple representing the extrapolation options. + + Parameters + ---------- + extrapolate : bool or tuple or None or number or NaN + If bool: + - If True, both extrapolation options are set to "extrapolate". + - If False, extrapolation options are set to ("bottom", "top"). + If tuple: + - The first element represents the extrapolation option for the lower bound. + - The second element represents the extrapolation option for the upper bound. + - If any element is bool: + - If True, it represents "extrapolate". + - If False: + - If it"s the first element, it represents "bottom". + - If it"s the second element, it represents "top". + - If any element is None, it is replaced with numpy.nan. + - Other numeric values are kept as they are. + - If any element is NaN, it is kept as NaN. + If None: + - Both extrapolation options are set to (NaN, NaN). + If number: + - Both extrapolation options are set to the provided number. + If NaN: + - Both extrapolation options are set to NaN. + + Returns + ------- + tuple + A tuple representing the extrapolation options. If the input is invalid, it returns + ("extrapolate", "extrapolate"). + """ + if isinstance(extrapolate, bool): + if extrapolate: + extrapolate_options = ("extrapolate", "extrapolate") + else: + extrapolate_options = ("bottom", "top") + elif isinstance(extrapolate, tuple): + extrapolate_options = [None, None] + for i in range(len(extrapolate)): + if isinstance(extrapolate[i], bool): + if extrapolate[i]: + extrapolate_options[i] = "extrapolate" + else: + if i == 0: + extrapolate_options[i] = "bottom" + else: + extrapolate_options[i] = "top" + elif extrapolate[i] is None: + extrapolate_options[i] = nan + else: + extrapolate_options[i] = extrapolate[i] + extrapolate_options = tuple(extrapolate_options) + elif extrapolate is None: + extrapolate_options = ("bottom", "top") + else: + extrapolate_options = (extrapolate, extrapolate) + + return extrapolate_options + +
[docs] -def interpolate_vertical(self, new_levels, new_src_vertical=None, kind='linear', extrapolate=None, info=None, +def interpolate_vertical(self, new_levels, new_src_vertical=None, kind="linear", extrapolate_options=False, info=None, overwrite=False): """ Vertical interpolation. @@ -120,20 +182,44 @@ self : Nes Source Nes object. new_levels : List - List of new vertical levels. + A List of new vertical levels. new_src_vertical : nes.Nes, str Nes object with the vertical information as variable or str with the path to the NetCDF file that contains the vertical data. kind : str Vertical methods type. - extrapolate : None, tuple, str - Extrapolate method (for non linear operations). + extrapolate_options : bool or tuple or None or number or NaN + If bool: + - If True, both extrapolation options are set to "extrapolate". + - If False, extrapolation options are set to ("bottom", "top"). + If tuple: + - The first element represents the extrapolation option for the lower bound. + - The second element represents the extrapolation option for the upper bound. + - If any element is bool: + - If True, it represents "extrapolate". + - If False: + - If it"s the first element, it represents "bottom". + - If it"s the second element, it represents "top". + - If any element is None, it is replaced with numpy.nan. + - Other numeric values are kept as they are. + - If any element is NaN, it is kept as NaN. + If None: + - Both extrapolation options are set to (NaN, NaN). + If number: + - Both extrapolation options are set to the provided number. + If NaN: + - Both extrapolation options are set to NaN. info: None, bool Indicates if you want to print extra information. overwrite: bool Indicates if you want to compute the vertical interpolation in the same object or not. """ - + src_levels_aux = None + fill_value = None + + extrapolate_options = __parse_extrapolate(extrapolate_options) + do_extrapolation = "extrapolate" in extrapolate_options + if len(self.lev) == 1: raise RuntimeError("1D data cannot be vertically interpolated.") if not overwrite: @@ -154,84 +240,98 @@ # To use current level data current_level = True # Checking old order - src_levels = self.lev['data'] + src_levels = self.lev["data"] if src_levels[0] > src_levels[-1]: if not ascendant: - flip = False + do_flip = False else: - flip = True - src_levels = np.flip(src_levels) + do_flip = True + src_levels = flip(src_levels) else: if ascendant: - flip = False + do_flip = False else: - flip = True - src_levels = np.flip(src_levels) + do_flip = True + src_levels = flip(src_levels) else: current_level = False - src_levels = self.variables[self.vertical_var_name]['data'] - if self.vertical_var_name == 'layer_thickness': - src_levels = np.flip(np.cumsum(np.flip(src_levels, axis=1), axis=1)) + src_levels = self.variables[self.vertical_var_name]["data"] + if self.vertical_var_name == "layer_thickness": + src_levels = flip(cumsum(flip(src_levels, axis=1), axis=1)) else: - # src_levels = np.flip(src_levels, axis=1) + # src_levels = flip(src_levels, axis=1) pass # Checking old order - if np.nanmean(src_levels[:, 0, :, :]) > np.nanmean(src_levels[:, -1, :, :]): + if nanmean(src_levels[:, 0, :, :]) > nanmean(src_levels[:, -1, :, :]): if not ascendant: - flip = False + do_flip = False else: - flip = True - src_levels = np.flip(src_levels, axis=1) + do_flip = True + src_levels = flip(src_levels, axis=1) else: if ascendant: - flip = False + do_flip = False else: - flip = True - src_levels = np.flip(src_levels, axis=1) + do_flip = True + src_levels = flip(src_levels, axis=1) # Loop over variables for var_name in self.variables.keys(): - if self.variables[var_name]['data'] is None: + if self.variables[var_name]["data"] is None: # Load data if it is not loaded yet self.load(var_name) if var_name != self.vertical_var_name: - if flip: - self.variables[var_name]['data'] = np.flip(self.variables[var_name]['data'], axis=1) + if do_flip: + self.variables[var_name]["data"] = flip(self.variables[var_name]["data"], axis=1) if info and self.master: print("\t{var} vertical methods".format(var=var_name)) sys.stdout.flush() - nt, nz, ny, nx = self.variables[var_name]['data'].shape - dst_data = np.empty((nt, nz_new, ny, nx), dtype=self.variables[var_name]['data'].dtype) + nt, nz, ny, nx = self.variables[var_name]["data"].shape + dst_data = empty((nt, nz_new, ny, nx), dtype=self.variables[var_name]["data"].dtype) for t in range(nt): # if info and self.rank == self.size - 1: if self.info and self.master: - print('\t\t{3} time step {0} ({1}/{2}))'.format(self.time[t], t + 1, nt, var_name)) + print("\t\t{3} time step {0} ({1}/{2}))".format(self.time[t], t + 1, nt, var_name)) sys.stdout.flush() for j in range(ny): for i in range(nx): - curr_level_values = src_levels[t, :, j, i] + if len(src_levels.shape) == 1: + # To use 1D level information + curr_level_values = src_levels + else: + # To use 4D level data + curr_level_values = src_levels[t, :, j, i] try: # Check if all values are identical or masked - if ((isinstance(curr_level_values, np.ndarray) and + if ((isinstance(curr_level_values, ndarray) and (curr_level_values == curr_level_values[0]).all()) or - (isinstance(curr_level_values, np.ma.core.MaskedArray) and + (isinstance(curr_level_values, ma.core.MaskedArray) and curr_level_values.mask.all())): - kind = 'slinear' + kind = "slinear" + else: + kind = kind # "cubic" + + # Filtering filling values to extrapolation + fill_value = [nan, nan] + if "bottom" in extrapolate_options: + if ascendant: + fill_value[0] = float64(self.variables[var_name]["data"][t, 0, j, i]) + else: + fill_value[0] = float64(self.variables[var_name]["data"][t, -1, j, i]) else: - kind = kind # 'cubic' - if extrapolate is None: + fill_value[0] = extrapolate_options[0] + if "top" in extrapolate_options: if ascendant: - fill_value = (np.float64(self.variables[var_name]['data'][t, 0, j, i]), - np.float64(self.variables[var_name]['data'][t, -1, j, i])) + fill_value[1] = float64(self.variables[var_name]["data"][t, -1, j, i]) else: - fill_value = (np.float64(self.variables[var_name]['data'][t, -1, j, i]), - np.float64(self.variables[var_name]['data'][t, 0, j, i])) + fill_value[1] = float64(self.variables[var_name]["data"][t, 0, j, i]) else: - fill_value = extrapolate + fill_value[1] = extrapolate_options[1] + fill_value = tuple(fill_value) # We force the methods with float64 to avoid negative values - # We don't know why the negatives appears with float34 + # We don"t know why the negatives appears with float34 if current_level: # 1D vertical component src_levels_aux = src_levels @@ -239,54 +339,82 @@ # 4D vertical component src_levels_aux = src_levels[t, :, j, i] - if kind == 'linear' and ascendant: - dst_data[t, :, j, i] = np.array( - np.interp(new_levels, - np.array(src_levels_aux, dtype=np.float64), - np.array(self.variables[var_name]['data'][t, :, j, i], dtype=np.float64)), - dtype=self.variables[var_name]['data'].dtype) + if kind == "linear" and ascendant and not do_extrapolation: + dst_data[t, :, j, i] = array( + interp(new_levels, + array(src_levels_aux, dtype=float64), + array(self.variables[var_name]["data"][t, :, j, i], dtype=float64), + left=fill_value[0], right=fill_value[1]), + dtype=self.variables[var_name]["data"].dtype) else: - dst_data[t, :, j, i] = np.array( - interp1d(np.array(src_levels_aux, dtype=np.float64), - np.array(self.variables[var_name]['data'][t, :, j, i], dtype=np.float64), - kind=kind, - bounds_error=False, - fill_value=fill_value)(new_levels), - dtype=self.variables[var_name]['data'].dtype) + if not do_extrapolation: + dst_data[t, :, j, i] = array( + interp1d(array(src_levels_aux, dtype=float64), + array(self.variables[var_name]["data"][t, :, j, i], dtype=float64), + kind=kind, + bounds_error=False, + fill_value=fill_value)(new_levels), + dtype=self.variables[var_name]["data"].dtype) + else: + # If extrapolation first we need to extrapolate all (below & above) + dst_data[t, :, j, i] = array( + interp1d(array(src_levels_aux, dtype=float64), + array(self.variables[var_name]["data"][t, :, j, i], + dtype=float64), + kind=kind, + bounds_error=False, + fill_value="extrapolate")(new_levels), + dtype=self.variables[var_name]["data"].dtype) + # Check values below the lower vertical level + if fill_value[0] != "extrapolate": + if ascendant: + idx_bellow = where(new_levels < src_levels_aux[0]) + else: + idx_bellow = where(new_levels > src_levels_aux[0]) + dst_data[t, idx_bellow, j, i] = fill_value[0] + # Check values above the upper vertical level + if fill_value[1] != "extrapolate": + if ascendant: + idx_above = where(new_levels > src_levels_aux[-1]) + else: + idx_above = where(new_levels < src_levels_aux[-1]) + dst_data[t, idx_above, j, i] = fill_value[1] except Exception as e: print("time lat lon", t, j, i) print("***********************") - print("LEVELS", np.array(src_levels[t, :, j, i], dtype=np.float64)) - print("DATA", np.array(self.variables[var_name]['data'][t, :, j, i], dtype=np.float64)) + print("LEVELS", src_levels_aux) + print("DATA", array(self.variables[var_name]["data"][t, :, j, i], dtype=float64)) print("METHOD", kind) print("FILL_VALUE", fill_value) print("+++++++++++++++++++++++") raise Exception(str(e)) # if level_array is not None: - # dst_data[t, :, j, i] = np.array(f(level_array), dtype=np.float32) + # dst_data[t, :, j, i] = array(f(level_array), dtype=float32) - self.variables[var_name]['data'] = copy(dst_data) - # print(self.variables[var_name]['data']) + self.variables[var_name]["data"] = copy(dst_data) + # print(self.variables[var_name]["data"]) # Update level information - new_lev_info = {'data': np.array(new_levels)} - if 'positive' in self._lev.keys(): + new_lev_info = {"data": array(new_levels)} + if "positive" in self.lev.keys(): # Vertical level direction if flip: self.reverse_level_direction() - new_lev_info['positive'] = self._lev['positive'] - for var_attr, attr_info in self.variables[self.vertical_var_name].items(): - if var_attr not in ['data', 'dimensions', 'crs', 'grid_mapping']: - new_lev_info[var_attr] = copy(attr_info) - self.set_levels(new_lev_info) + new_lev_info["positive"] = self.lev["positive"] - self.free_vars(self.vertical_var_name) - self.vertical_var_name = None + if self.vertical_var_name is not None: + for var_attr, attr_info in self.variables[self.vertical_var_name].items(): + if var_attr not in ["data", "dimensions", "crs", "grid_mapping"]: + new_lev_info[var_attr] = copy(attr_info) + self.free_vars(self.vertical_var_name) + self.vertical_var_name = None + + self.set_levels(new_lev_info) # Remove original file information self.__ini_path = None self.dataset = None - self.netcdf = None + self.dataset = None return self
diff --git a/docs/build/html/_modules/nes/nc_projections/default_nes.html b/docs/build/html/_modules/nes/nc_projections/default_nes.html index e09210d4f21cd3a1397b4deb6a174816acc3113e..dba822825dafb9ee2a4b1b03517d424a8b5edf44 100644 --- a/docs/build/html/_modules/nes/nc_projections/default_nes.html +++ b/docs/build/html/_modules/nes/nc_projections/default_nes.html @@ -80,22 +80,21 @@ #!/usr/bin/env python import sys -import gc -import warnings -import numpy as np -import pandas as pd -from datetime import timedelta -from xarray import open_dataset +from gc import collect +from warnings import warn +from numpy import (array, ndarray, abs, mean, diff, dstack, append, tile, empty, unique, stack, vstack, full, isnan, + flipud, nan, float32, float64, ma, generic, character, issubdtype, arange, newaxis, concatenate, + split, cumsum, zeros, column_stack) +from pandas import Index, concat +from geopandas import GeoDataFrame +from datetime import timedelta, datetime from netCDF4 import Dataset, num2date, date2num, stringtochar from mpi4py import MPI -from cfunits import Units -from shapely.geos import TopologicalError -import geopandas as gpd from shapely.geometry import Polygon, Point from copy import deepcopy, copy -import datetime from dateutil.relativedelta import relativedelta -import pyproj +from typing import Union, List, Dict, Any +from pyproj import Proj, Transformer from ..methods import vertical_interpolation, horizontal_interpolation, cell_measures, spatial_join from ..nes_formats import to_netcdf_cams_ra, to_netcdf_monarch, to_monarch_units, to_netcdf_cmaq, to_cmaq_units, \ to_netcdf_wrf_chem, to_wrf_chem_units @@ -105,10 +104,11 @@ [docs] class Nes(object): """ + A class to handle netCDF data with parallel processing capabilities using MPI. Attributes ---------- - comm : MPI.Communicator. + comm : MPI.Comm MPI communicator. rank : int MPI rank. @@ -118,65 +118,148 @@ Size of the communicator. info : bool Indicates if you want to print reading/writing info. - is_xarray : bool - (Not working) Indicates if you want to use xarray as default. __ini_path : str Path to the original file to read when open_netcdf is called. hours_start : int Number of hours to avoid from the first original values. hours_end : int Number of hours to avoid from the last original values. - dataset : xr.Dataset - (not working) xArray Dataset. - netcdf : Dataset + dataset : Dataset netcdf4-python Dataset. - variables : dict - Variables information. - The variables are stored in a dictionary with the var_name as key and another dictionary with the information. - The information dictionary contains the 'data' key with None (if the variable is not loaded) or the array values - and the other keys are the variable attributes or description. - _time : List + variables : Dict[str, Dict[str, Any]] + Variables information. The dictionary structure is: + { + var_name: { + "data": ndarray or None, # Array values or None if the variable is not loaded. + attr_name: attr_value, # Variable attributes. + ... + }, + ... + } + _full_time : List[datetime] Complete list of original time step values. - _lev : dict - Vertical level dictionary with the complete 'data' key for all the values and the rest of the attributes. - _lat : dict - Latitudes dictionary with the complete 'data' key for all the values and the rest of the attributes. - _lon _ dict - Longitudes dictionary with the complete 'data' key for all the values and the rest of the attributes. + _full_lev : Dict[str, array] + Vertical level dictionary with the complete "data" key for all the values and the rest of the attributes. + { + "data": ndarray, # Array of vertical level values. + attr_name: attr_value, # Vertical level attributes. + ... + } + _full_lat : dict + Latitudes dictionary with the complete "data" key for all the values and the rest of the attributes. + { + "data": ndarray, # Array of latitude values. + attr_name: attr_value, # Latitude attributes. + ... + } + _full_lon : dict + Longitudes dictionary with the complete "data" key for all the values and the rest of the attributes. + { + "data": ndarray, # Array of longitude values. + attr_name: attr_value, # Longitude attributes. + ... + } + _full_lat_bnds : dict + Latitude bounds dictionary with the complete "data" key for the latitudinal boundaries of each grid and the + rest of the attributes. + { + "data": ndarray, # Array of latitude bounds. + attr_name: attr_value, # Latitude bounds attributes. + ... + } + _full_lon_bnds : dict + Longitude bounds dictionary with the complete "data" key for the longitudinal boundaries of each grid and the + rest of the attributes. + { + "data": ndarray, # Array of longitude bounds. + attr_name: attr_value, # Longitude bounds attributes. + ... + } parallel_method : str - Parallel method to read/write. - Can be chosen any of the following axis to parallelize: 'T', 'Y' or 'X'. + Parallel method to read/write. Can be chosen from any of the following axes to parallelize: "T", "Y", or "X". read_axis_limits : dict - Dictionary with the 4D limits of the rank data to read. - t_min, t_max, z_min, z_max, y_min, y_max, x_min and x_max. + Dictionary with the 4D limits of the rank data to read. Structure: + { + "t_min": int, "t_max": int, # Time axis limits. + "z_min": int, "z_max": int, # Vertical axis limits. + "y_min": int, "y_max": int, # Latitudinal axis limits. + "x_min": int, "x_max": int, # Longitudinal axis limits. + } write_axis_limits : dict - Dictionary with the 4D limits of the rank data to write. - t_min, t_max, z_min, z_max, y_min, y_max, x_min and x_max. + Dictionary with the 4D limits of the rank data to write. Structure: + { + "t_min": int, "t_max": int, # Time axis limits. + "z_min": int, "z_max": int, # Vertical axis limits. + "y_min": int, "y_max": int, # Latitudinal axis limits. + "x_min": int, "x_max": int, # Longitudinal axis limits. + } time : List[datetime] List of time steps of the rank data. lev : dict - Vertical levels dictionary with the portion of 'data' corresponding to the rank values. + Vertical levels dictionary with the portion of "data" corresponding to the rank values. Structure: + { + "data": ndarray, # Array of vertical level values for the rank. + attr_name: attr_value, # Vertical level attributes. + ... + } lat : dict - Latitudes dictionary with the portion of 'data' corresponding to the rank values. + Latitudes dictionary with the portion of "data" corresponding to the rank values. Structure: + { + "data": ndarray, # Array of latitude values for the rank. + attr_name: attr_value, # Latitude attributes. + ... + } lon : dict - Longitudes dictionary with the portion of 'data' corresponding to the rank values. + Longitudes dictionary with the portion of "data" corresponding to the rank values. Structure: + { + "data": ndarray, # Array of longitude values for the rank. + attr_name: attr_value, # Longitude attributes. + ... + } + lat_bnds : dict + Latitude bounds dictionary with the portion of "data" for the latitudinal boundaries corresponding to the rank + values. + Structure: + { + "data": ndarray, # Array of latitude bounds for the rank. + attr_name: attr_value, # Latitude bounds attributes. + ... + } + lon_bnds : dict + Longitude bounds dictionary with the portion of "data" for the longitudinal boundaries corresponding to the + rank values. + Structure: + { + "data": ndarray, # Array of longitude bounds for the rank. + attr_name: attr_value, # Longitude bounds attributes. + ... + } global_attrs : dict - Global attributes with the attribute name as key and data as values. - _var_dim : None or tuple + Global attributes with the attribute name as key and data as values. Structure: + { + attr_name: attr_value, # Global attribute name and value. + ... + } + _var_dim : tuple Name of the Y and X dimensions for the variables. - _lat_dim : None or tuple + _lat_dim : tuple Name of the dimensions of the Latitude values. - _lon_dim : None or tuple + _lon_dim : tuple Name of the dimensions of the Longitude values. - projection : pyproj.Proj + projection : Proj Grid projection. projection_data : dict - Dictionary with the projection information. - + Dictionary with the projection information. Structure: + { + proj_param: proj_value, # Projection parameters. + ... + } """ - def __init__(self, comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y', - avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, - balanced=False, times=None, **kwargs): + def __init__(self, comm: Union[MPI.Comm, None] = None, path: Union[str, None] = None, info: bool = False, + dataset: Union[Dataset, None] = None, parallel_method: str = "Y", avoid_first_hours: int = 0, + avoid_last_hours: int = 0, first_level: int = 0, last_level: Union[int, None] = None, + create_nes: bool = False, balanced: bool = False, times: Union[List[datetime], None] = None, + **kwargs) -> None: """ Initialize the Nes class @@ -188,13 +271,11 @@ Path to the NetCDF to initialize the object. info: bool Indicates if you want to get reading/writing info. - dataset: Dataset + dataset: Dataset or None NetCDF4-python Dataset to initialize the class. - xarray: bool - (Not working) Indicates if you want to use xarray as default. parallel_method : str Indicates the parallelization method that you want. Default over Y axis - accepted values: ['X', 'Y', 'T']. + accepted values: ["X", "Y", "T"]. avoid_first_hours : int Number of hours to remove from first time steps. avoid_last_hours : int @@ -223,7 +304,6 @@ # General info self.info = info - self.is_xarray = xarray self.__ini_path = path self.shapefile = None @@ -243,46 +323,47 @@ self.serial_nc = None # Place to store temporally the serial Nes instance # Get minor and major axes of Earth - self.earth_radius = self.get_earth_radius('WGS84') + self.earth_radius = self.get_earth_radius("WGS84") # Time resolution and climatology will be modified, if needed, during the time variable reading - self._time_resolution = 'hours' + self._time_resolution = "hours" self._climatology = False - self._climatology_var_name = 'climatology_bounds' # Default var_name but can be changed if the input is dif + self._climatology_var_name = "climatology_bounds" # Default var_name but can be changed if the input is dif # NetCDF object if create_nes: - self.netcdf = None self.dataset = None # Set string length self.strlen = None - + # Initialize variables self.variables = {} - # Set projection - self._create_projection(**kwargs) + # Projection data This is duplicated due to if it is needed to create the object NES needs that info to + # create coordinates data. + self.projection_data = self._get_projection_data(create_nes, **kwargs) + self.projection = self._get_pyproj_projection() # Complete dimensions - self._time = times + self._full_time = times - self._time_bnds = self.__get_time_bnds(create_nes) - self._lat_bnds, self._lon_bnds = self.__get_coordinates_bnds(create_nes) - self._lev = {'data': np.array([0]), - 'units': '', - 'positive': 'up'} - self._lat, self._lon = self._create_centre_coordinates(**kwargs) + self._full_time_bnds = self.__get_time_bnds(create_nes) + self._full_lat_bnds, self._full_lon_bnds = self.__get_coordinates_bnds(create_nes) + self._full_lev = {"data": array([0]), "units": "", "positive": "up"} + self._full_lat, self._full_lon = self._create_centre_coordinates(**kwargs) # Set axis limits for parallel reading - self.read_axis_limits = self.get_read_axis_limits() + self.read_axis_limits = self._get_read_axis_limits() + self.write_axis_limits = self._get_write_axis_limits() # Dimensions screening - self.time = self._time[self.read_axis_limits['t_min']:self.read_axis_limits['t_max']] - self.time_bnds = self._time_bnds - self.lev = deepcopy(self._lev) - self.lat_bnds, self.lon_bnds = self._lat_bnds, self._lon_bnds + self.time = self.get_full_times()[self.read_axis_limits["t_min"]:self.read_axis_limits["t_max"]] + self.time_bnds = self.get_full_time_bnds() + self.lev = self.get_full_levels() + self.lat_bnds = self.get_full_latitudes_boundaries() + self.lon_bnds = self.get_full_longitudes_boundaries() # Cell measures screening self.cell_measures = self.__get_cell_measures(create_nes) @@ -291,63 +372,52 @@ self.global_attrs = self.__get_global_attributes(create_nes) else: - if dataset is not None: - if self.is_xarray: - self.dataset = dataset - self.netcdf = None - else: - self.dataset = None - self.netcdf = dataset + self.dataset = dataset elif self.__ini_path is not None: - if self.is_xarray: - self.dataset = self.__open_dataset() - self.netcdf = None - else: - self.dataset = None - self.netcdf = self.__open_netcdf4() + self._open() # Get string length self.strlen = self._get_strlen() # Lazy variables self.variables = self._get_lazy_variables() - - # Get projection - self._get_projection() # Complete dimensions - self._time = self.__get_time() - self._time_bnds = self.__get_time_bnds() - self._lev = self._get_coordinate_dimension(['lev', 'level', 'lm', 'plev']) - self._lat = self._get_coordinate_dimension(['lat', 'latitude', 'latitudes']) - self._lon = self._get_coordinate_dimension(['lon', 'longitude', 'longitudes']) - self._lat_bnds, self._lon_bnds = self.__get_coordinates_bnds() + self._full_time = self.__get_time() + self._full_time_bnds = self.__get_time_bnds() + self._full_lev = self._get_coordinate_dimension(["lev", "level", "lm", "plev"]) + self._full_lat = self._get_coordinate_dimension(["lat", "latitude", "latitudes"]) + self._full_lon = self._get_coordinate_dimension(["lon", "longitude", "longitudes"]) + self._full_lat_bnds, self._full_lon_bnds = self.__get_coordinates_bnds() # Complete cell measures self._cell_measures = self.__get_cell_measures() # Set axis limits for parallel reading - self.read_axis_limits = self.get_read_axis_limits() + self.read_axis_limits = self._get_read_axis_limits() + # Set axis limits for parallel writing + self.write_axis_limits = self._get_write_axis_limits() # Dimensions screening - self.time = self._time[self.read_axis_limits['t_min']:self.read_axis_limits['t_max']] - self.time_bnds = self._time_bnds - self.lev = self._get_coordinate_values(self._lev, 'Z') - self.lat = self._get_coordinate_values(self._lat, 'Y') - self.lon = self._get_coordinate_values(self._lon, 'X') - self.lat_bnds = self._get_coordinate_values(self._lat_bnds, 'Y', bounds=True) - self.lon_bnds = self._get_coordinate_values(self._lon_bnds, 'X', bounds=True) + self.time = self.get_full_times()[self.read_axis_limits["t_min"]:self.read_axis_limits["t_max"]] + self.time_bnds = self.get_full_time_bnds() + self.lev = self._get_coordinate_values(self.get_full_levels(), "Z") + self.lat = self._get_coordinate_values(self.get_full_latitudes(), "Y") + self.lon = self._get_coordinate_values(self.get_full_longitudes(), "X") + self.lat_bnds = self._get_coordinate_values(self.get_full_latitudes_boundaries(), "Y", bounds=True) + self.lon_bnds = self._get_coordinate_values(self.get_full_longitudes_boundaries(), "X", bounds=True) # Cell measures screening self.cell_measures = self._get_cell_measures_values(self._cell_measures) - # Set axis limits for parallel writing - self.write_axis_limits = self.get_write_axis_limits() - # Set NetCDF attributes self.global_attrs = self.__get_global_attributes() + # Projection data + self.projection_data = self._get_projection_data(create_nes, **kwargs) + self.projection = self._get_pyproj_projection() + # Writing options self.zip_lvl = 0 @@ -359,19 +429,33 @@ self.vertical_var_name = None # Filtering (portion of the filter coordinates function) - idx = self.get_idx_intervals() - self._time = self._time[idx['idx_t_min']:idx['idx_t_max']] - self._lev['data'] = self._lev['data'][idx['idx_z_min']:idx['idx_z_max']] + idx = self._get_idx_intervals() + if self.master: + self.set_full_times(self._full_time[idx["idx_t_min"]:idx["idx_t_max"]]) + self._full_lev["data"] = self._full_lev["data"][idx["idx_z_min"]:idx["idx_z_max"]] self.hours_start = 0 self.hours_end = 0 self.last_level = None self.first_level = None + def __test_mpi__(self, num_test=None): + print(f"{self.rank} Barrier {num_test}") + sys.stdout.flush() + self.comm.Barrier() + if self.master: + data = 1 + else: + data = 0 + data = self.comm.bcast(data, root=0) + print(f"{self.rank} data {data}") + sys.stdout.flush() + return None +
[docs] @staticmethod - def new(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y', + def new(comm=None, path=None, info=False, dataset=None, parallel_method="Y", avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs): """ @@ -387,11 +471,9 @@ Indicates if you want to get reading/writing info. dataset: Dataset NetCDF4-python Dataset to initialize the class. - xarray: bool - (Not working) Indicates if you want to use xarray as default. parallel_method : str Indicates the parallelization method that you want. Default over Y axis - accepted values: ['X', 'Y', 'T']. + accepted values: ["X", "Y", "T"]. avoid_first_hours : int Number of hours to remove from first time steps. avoid_last_hours : int @@ -409,7 +491,7 @@ List of times to substitute the current ones while creation. """ - new = Nes(comm=comm, path=path, info=info, dataset=dataset, xarray=xarray, parallel_method=parallel_method, + new = Nes(comm=comm, path=path, info=info, dataset=dataset, parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, create_nes=create_nes, balanced=balanced, times=times, **kwargs) @@ -426,13 +508,13 @@ Max length of the string data """ - if 'strlen' in self.netcdf.dimensions: - strlen = self.netcdf.dimensions['strlen'].size + if "strlen" in self.dataset.dimensions: + strlen = self.dataset.dimensions["strlen"].size else: return None return strlen - +
[docs] def set_strlen(self, strlen=75): @@ -462,30 +544,30 @@ self.free_vars(list(self.variables.keys())) del self.variables del self.time - del self._time + del self._full_time del self.time_bnds - del self._time_bnds + del self._full_time_bnds del self.lev - del self._lev + del self._full_lev del self.lat - del self._lat + del self._full_lat del self.lon - del self._lon - del self._lat_bnds + del self._full_lon + del self._full_lat_bnds del self.lat_bnds - del self._lon_bnds + del self._full_lon_bnds del self.lon_bnds del self.strlen del self.shapefile for cell_measure in self.cell_measures.keys(): - if self.cell_measures[cell_measure]['data'] is not None: - del self.cell_measures[cell_measure]['data'] + if self.cell_measures[cell_measure]["data"] is not None: + del self.cell_measures[cell_measure]["data"] del self.cell_measures except (AttributeError, KeyError): pass del self - gc.collect() + collect() return None @@ -500,7 +582,7 @@ """ d = self.__dict__ - state = {k: d[k] for k in d if k not in ['comm', 'variables', 'netcdf', 'cell_measures']} + state = {k: d[k] for k in d if k not in ["comm", "variables", "dataset", "cell_measures"]} return state @@ -525,7 +607,7 @@ Parameters ---------- other : Nes - Nes to be summed + A Nes to be summed Returns ------- @@ -538,7 +620,7 @@ # Create New variable nessy.variables[var_name] = deepcopy(other.variables[var_name]) else: - nessy.variables[var_name]['data'] += other.variables[var_name]['data'] + nessy.variables[var_name]["data"] += other.variables[var_name]["data"] return nessy def __radd__(self, other): @@ -547,9 +629,32 @@ else: return self.__add__(other) + def __getitem__(self, key: str) -> Union[array, None]: + """ + Retrieve the data associated with the specified key. + + Parameters + ---------- + key : str + The key to retrieve the data for. + + Returns + ------- + Union[array, None] + The data associated with the specified key, or None if the key + does not exist. + + Notes + ----- + This method allows accessing data in the variables dictionary using + dictionary-like syntax, e.g., obj[key]["data"]. + + """ + return self.variables[key]["data"] +
[docs] - def copy(self, copy_vars=False): + def copy(self, copy_vars: bool = False): """ Copy the Nes object. The copy will avoid to copy the communicator, dataset and variables by default. @@ -566,7 +671,7 @@ """ nessy = deepcopy(self) - nessy.netcdf = None + nessy.dataset = None if copy_vars: nessy.set_communicator(self.comm) nessy.variables = deepcopy(self.variables) @@ -580,23 +685,369 @@
[docs] - def get_full_times(self): - return self._time
+ def get_full_times(self) -> List[datetime]: + """ + Retrieve the complete list of original time step values. + + Returns + ------- + List[datetime] + The complete list of original time step values from the netCDF data. + """ + if self.master: + data = self._full_time + else: + data = None + data = self.comm.bcast(data, root=0) + + if not isinstance(data, list): + data = list(data) + return data
+ + +
+[docs] + def get_full_time_bnds(self) -> List[datetime]: + """ + Retrieve the complete list of original time step boundaries. + + Returns + ------- + List[datetime] + The complete list of original time step boundary values from the netCDF data. + """ + data = self.comm.bcast(self._full_time_bnds) + return data
[docs] - def get_full_levels(self): - return self._lev
+ def get_full_levels(self) -> Dict[str, Any]: + """ + Retrieve the complete vertical level information. + + Returns + ------- + Dict[str, Any] + A dictionary containing the complete vertical level data and its attributes. + The dictionary structure is: + { + "data": ndarray, # Array of vertical level values. + attr_name: attr_value, # Vertical level attributes. + ... + } + """ + data = self.comm.bcast(self._full_lev) + return data
+ + +
+[docs] + def get_full_latitudes(self) -> Dict[str, Any]: + """ + Retrieve the complete latitude information. + + Returns + ------- + Dict[str, Any] + A dictionary containing the complete latitude data and its attributes. + The dictionary structure is: + { + "data": ndarray, # Array of latitude values. + attr_name: attr_value, # Latitude attributes. + ... + } + """ + data = self.comm.bcast(self._full_lat) + + return data
+ + +
+[docs] + def get_full_longitudes(self) -> Dict[str, Any]: + """ + Retrieve the complete longitude information. + + Returns + ------- + Dict[str, Any] + A dictionary containing the complete longitude data and its attributes. + The dictionary structure is: + { + "data": ndarray, # Array of longitude values. + attr_name: attr_value, # Longitude attributes. + ... + } + """ + data = self.comm.bcast(self._full_lon) + return data
+ + +
+[docs] + def get_full_latitudes_boundaries(self) -> Dict[str, Any]: + """ + Retrieve the complete latitude boundaries information. + + Returns + ------- + Dict[str, Any] + A dictionary containing the complete latitude boundaries data and its attributes. + The dictionary structure is: + { + "data": ndarray, # Array of latitude boundaries values. + attr_name: attr_value, # Latitude boundaries attributes. + ... + } + """ + data = self.comm.bcast(self._full_lat_bnds) + return data
+ + +
+[docs] + def get_full_longitudes_boundaries(self) -> Dict[str, Any]: + """ + Retrieve the complete longitude boundaries information. + + Returns + ------- + Dict[str, Any] + A dictionary containing the complete longitude boundaries data and its attributes. + The dictionary structure is: + { + "data": ndarray, # Array of longitude boundaries values. + attr_name: attr_value, # Longitude boundaries attributes. + ... + } + """ + data = self.comm.bcast(self._full_lon_bnds) + return data
+ + +
+[docs] + def set_full_times(self, data: List[datetime]) -> None: + """ + Set the complete list of original time step values. + + Parameters + ---------- + data : List[datetime] + The complete list of original time step values to set. + """ + if self.master: + self._full_time = data + return None
+ + +
+[docs] + def set_full_time_bnds(self, data: List[datetime]) -> None: + """ + Set the complete list of original time step boundaries. + + Parameters + ---------- + data : List[datetime] + The complete list of original time step boundary values to set. + """ + if self.master: + self._full_time_bnds = data + return None
+ + +
+[docs] + def set_full_levels(self, data: Dict[str, Any]) -> None: + """ + Set the complete vertical level information. + + Parameters + ---------- + data : Dict[str, Any] + A dictionary containing the complete vertical level data and its attributes. + The dictionary structure is: + { + "data": ndarray, # Array of vertical level values. + attr_name: attr_value, # Vertical level attributes. + ... + } + """ + if self.master: + self._full_lev = data + return None
+ + +
+[docs] + def set_full_latitudes(self, data: Dict[str, Any]) -> None: + """ + Set the complete latitude information. + + Parameters + ---------- + data : Dict[str, Any] + A dictionary containing the complete latitude data and its attributes. + The dictionary structure is: + { + "data": ndarray, # Array of latitude values. + attr_name: attr_value, # Latitude attributes. + ... + } + """ + if self.master: + self._full_lat = data + return None
+ + +
+[docs] + def set_full_longitudes(self, data: Dict[str, Any]) -> None: + """ + Set the complete longitude information. + + Parameters + ---------- + data : Dict[str, Any] + A dictionary containing the complete longitude data and its attributes. + The dictionary structure is: + { + "data": ndarray, # Array of longitude values. + attr_name: attr_value, # Longitude attributes. + ... + } + """ + if self.master: + self._full_lon = data + return None
+ + +
+[docs] + def set_full_latitudes_boundaries(self, data: Dict[str, Any]) -> None: + """ + Set the complete latitude boundaries information. + + Parameters + ---------- + data : Dict[str, Any] + A dictionary containing the complete latitude boundaries data and its attributes. + The dictionary structure is: + { + "data": ndarray, # Array of latitude boundaries values. + attr_name: attr_value, # Latitude boundaries attributes. + ... + } + """ + if self.master: + self._full_lat_bnds = data + return None
+ + +
+[docs] + def set_full_longitudes_boundaries(self, data: Dict[str, Any]) -> None: + """ + Set the complete longitude boundaries information. + + Parameters + ---------- + data : Dict[str, Any] + A dictionary containing the complete longitude boundaries data and its attributes. + The dictionary structure is: + { + "data": ndarray, # Array of longitude boundaries values. + attr_name: attr_value, # Longitude boundaries attributes. + ... + } + """ + if self.master: + self._full_lon_bnds = data + + return None
+ + +
+[docs] + def get_fids(self, use_read=False): + """ + Obtain the FIDs in a 2D format. + + Parameters + ---------- + use_read : bool + Indicate if you want to use the read_axis_limits + + Returns + ------- + array + 2D array with the FID data. + """ + if self.master: + fids = arange(self._full_lat["data"].shape[0] * self._full_lon["data"].shape[-1]) + fids = fids.reshape((self._full_lat["data"].shape[0], self._full_lon["data"].shape[-1])) + else: + fids = None + fids = self.comm.bcast(fids) + + if use_read: + fids = fids[self.read_axis_limits["y_min"]:self.read_axis_limits["y_max"], + self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] + else: + fids = fids[self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"], + self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]] + + return fids
+ + +
+[docs] + def get_full_shape(self): + """ + Obtain the Full 2D shape of tha data + + Returns + ------- + tuple + 2D shape of tha data. + """ + if self.master: + shape = (self._full_lat["data"].shape[0], self._full_lon["data"].shape[-1]) + else: + shape = None + shape = self.comm.bcast(shape) + + return shape
[docs] def set_level_direction(self, new_direction): - if new_direction not in ['up', 'down']: - raise ValueError("Level direction mus be up or down. '{0}' is not a valid option".format(new_direction)) - self._lev['positive'] = new_direction - self.lev['positive'] = new_direction + """ + Set the direction of the vertical level values. + + Parameters + ---------- + new_direction : str + The new direction for the vertical levels. Must be either "up" or "down". + + Returns + ------- + bool + True if the direction was set successfully. + + Raises + ------ + ValueError + If `new_direction` is not "up" or "down". + """ + if new_direction not in ["up", "down"]: + raise ValueError(f"Level direction mus be up or down. '{new_direction}' is not a valid option") + if self.master: + self._full_lev["positive"] = new_direction + self.lev["positive"] = new_direction return True
@@ -604,13 +1055,23 @@
[docs] def reverse_level_direction(self): - if 'positive' in self._lev.keys(): - if self._lev['positive'] == 'up': - self._lev['positive'] = 'down' - self.lev['positive'] = 'down' + """ + Reverse the current direction of the vertical level values. + + Returns + ------- + bool + True if the direction was reversed successfully. + """ + if "positive" in self.lev.keys(): + if self.lev["positive"] == "up": + if self.master: + self._full_lev["positive"] = "down" + self.lev["positive"] = "down" else: - self._lev['positive'] = 'up' - self.lev['positive'] = 'up' + if self.master: + self._full_lev["positive"] = "up" + self.lev["positive"] = "up" return True
@@ -646,8 +1107,8 @@ self.master = self.rank == 0 self.size = self.comm.Get_size() - self.read_axis_limits = self.get_read_axis_limits() - self.write_axis_limits = self.get_write_axis_limits() + self.read_axis_limits = self._get_read_axis_limits() + self.write_axis_limits = self._get_write_axis_limits() return None
@@ -655,6 +1116,23 @@
[docs] def set_climatology(self, is_climatology): + """ + Set whether the dataset represents climatological data. + + Parameters + ---------- + is_climatology : bool + A boolean indicating if the dataset represents climatological data. + + Returns + ------- + None + + Raises + ------ + TypeError + If `is_climatology` is not a boolean. + """ if not isinstance(is_climatology, bool): raise TypeError("Only boolean values are accepted") self._climatology = is_climatology @@ -664,6 +1142,14 @@
[docs] def get_climatology(self): + """ + Get whether the dataset represents climatological data. + + Returns + ------- + bool + True if the dataset represents climatological data, False otherwise. + """ return self._climatology
@@ -678,8 +1164,7 @@ levels : dict Dictionary with the new level information to be set. """ - - self._lev = deepcopy(levels) + self.set_full_levels(deepcopy(levels)) self.lev = deepcopy(levels) return None
@@ -696,9 +1181,9 @@ time_list : List[datetime] List of time steps """ - if self.parallel_method == 'T': + if self.parallel_method == "T": raise TypeError("Cannot set time on a 'T' parallel method") - self._time = deepcopy(time_list) + self.set_full_times(deepcopy(time_list)) self.time = deepcopy(time_list) return None @@ -713,29 +1198,29 @@ Parameters ---------- time_bnds : List - List with the new time bounds information to be set. + AList with the new time bounds information to be set. """ correct_format = True - for time_bnd in np.array(time_bnds).flatten(): - if not isinstance(time_bnd, datetime.datetime): + for time_bnd in array(time_bnds).flatten(): + if not isinstance(time_bnd, datetime): print("{0} is not a datetime object".format(time_bnd)) correct_format = False if correct_format: - if len(self._time) == len(time_bnds): - self._time_bnds = deepcopy(time_bnds) + if len(self.get_full_times()) == len(time_bnds): + self.set_full_time_bnds(deepcopy(time_bnds)) self.time_bnds = deepcopy(time_bnds) else: msg = "WARNING!!! " msg += "The given time bounds list has a different length than the time array. " - msg += "(time:{0}, bnds:{1}). Time bounds will not be set.".format(len(self._time), len(time_bnds)) - warnings.warn(msg) + msg += "(time:{0}, bnds:{1}). Time bounds will not be set.".format(len(self.time), len(time_bnds)) + warn(msg) sys.stderr.flush() else: - msg = 'WARNING!!! ' - msg += 'There is at least one element in the time bounds to be set that is not a datetime object. ' - msg += 'Time bounds will not be set.' - warnings.warn(msg) + msg = "WARNING!!! " + msg += "There is at least one element in the time bounds to be set that is not a datetime object. " + msg += "Time bounds will not be set." + warn(msg) sys.stderr.flush() return None @@ -744,26 +1229,42 @@
[docs] def set_time_resolution(self, new_resolution): - accepted_resolutions = ['second', 'seconds', 'minute', 'minutes', 'hour', 'hours', 'day', 'days'] + """ + Set the time resolution for the dataset. + + Parameters + ---------- + new_resolution : str + The new time resolution. Accepted values are "second", "seconds", "minute", "minutes", + "hour", "hours", "day", "days". + + Returns + ------- + bool + True if the time resolution was set successfully. + + Raises + ------ + ValueError + If `new_resolution` is not one of the accepted values. + """ + accepted_resolutions = ["second", "seconds", "minute", "minutes", "hour", "hours", "day", "days"] if new_resolution in accepted_resolutions: self._time_resolution = new_resolution else: - raise ValueError("Time resolution '{0}' is not accepted. Use one of this: {1}".format( - new_resolution, accepted_resolutions)) + raise ValueError(f"Time resolution '{new_resolution}' is not accepted. " + + f"Use one of this: {accepted_resolutions}") return True
- -
-[docs] @staticmethod - def create_single_spatial_bounds(coordinates, inc, spatial_nv=2, inverse=False): + def _create_single_spatial_bounds(coordinates, inc, spatial_nv=2, inverse=False): """ Calculate the vertices coordinates. Parameters ---------- - coordinates : np.array + coordinates : array Coordinates in degrees (latitude or longitude). inc : float Increment between centre values. @@ -774,8 +1275,8 @@ Returns ---------- - bounds : np.array - Array with as many elements as vertices for each value of coords. + bounds : array + An Array with as many elements as vertices for each value of coords. """ # Create new arrays moving the centres half increment less and more. @@ -785,20 +1286,19 @@ # Defining the number of corners needed. 2 to regular grids and 4 for irregular ones. if spatial_nv == 2: # Create an array of N arrays of 2 elements to store the floor and the ceil values for each cell - bounds = np.dstack((coords_left, coords_right)) + bounds = dstack((coords_left, coords_right)) bounds = bounds.reshape((len(coordinates), spatial_nv)) elif spatial_nv == 4: # Create an array of N arrays of 4 elements to store the corner values for each cell # It can be stored in clockwise starting form the left-top element, or in inverse mode. if inverse: - bounds = np.dstack((coords_left, coords_left, coords_right, coords_right)) + bounds = dstack((coords_left, coords_left, coords_right, coords_right)) else: - bounds = np.dstack((coords_left, coords_right, coords_right, coords_left)) + bounds = dstack((coords_left, coords_right, coords_right, coords_left)) else: - raise ValueError('The number of vertices of the boundaries must be 2 or 4.') - - return bounds
+ raise ValueError("The number of vertices of the boundaries must be 2 or 4.") + return bounds
[docs] @@ -806,18 +1306,21 @@ """ Calculate longitude and latitude bounds and set them. """ + # Latitudes + full_lat = self.get_full_latitudes() + inc_lat = abs(mean(diff(full_lat["data"]))) + lat_bnds = self._create_single_spatial_bounds(full_lat["data"], inc_lat, spatial_nv=2) - inc_lat = np.abs(np.mean(np.diff(self._lat['data']))) - lat_bnds = self.create_single_spatial_bounds(self._lat['data'], inc_lat, spatial_nv=2) + self.set_full_latitudes_boundaries({"data": deepcopy(lat_bnds)}) + self.lat_bnds = {"data": lat_bnds[self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"], :]} - self._lat_bnds = {'data': deepcopy(lat_bnds)} - self.lat_bnds = {'data': lat_bnds[self.read_axis_limits['y_min']:self.read_axis_limits['y_max'], :]} - - inc_lon = np.abs(np.mean(np.diff(self._lon['data']))) - lon_bnds = self.create_single_spatial_bounds(self._lon['data'], inc_lon, spatial_nv=2) + # Longitudes + full_lon = self.get_full_longitudes() + inc_lon = abs(mean(diff(full_lon["data"]))) + lon_bnds = self._create_single_spatial_bounds(full_lon["data"], inc_lon, spatial_nv=2) - self._lon_bnds = {'data': deepcopy(lon_bnds)} - self.lon_bnds = {'data': lon_bnds[self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], :]} + self.set_full_longitudes_boundaries({"data": deepcopy(lon_bnds)}) + self.lon_bnds = {"data": lon_bnds[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :]} return None
@@ -842,29 +1345,29 @@ if self.lat_bnds is None: self.create_spatial_bounds() - if self.lat_bnds['data'].shape[-1] == 2: + if self.lat_bnds["data"].shape[-1] == 2: # get the lat_b and lon_b first rows - lat_b_0 = np.append(self.lat_bnds['data'][:, 0], self.lat_bnds['data'][-1, -1]) - lon_b_0 = np.append(self.lon_bnds['data'][:, 0], self.lon_bnds['data'][-1, -1]) + lat_b_0 = append(self.lat_bnds["data"][:, 0], self.lat_bnds["data"][-1, -1]) + lon_b_0 = append(self.lon_bnds["data"][:, 0], self.lon_bnds["data"][-1, -1]) # expand lat_band lon_b in 2D - lat_bnds_mesh = np.tile(lat_b_0, (len(self.lon['data']) + 1, 1)).transpose() - lon_bnds_mesh = np.tile(lon_b_0, (len(self.lat['data']) + 1, 1)) + lat_bnds_mesh = tile(lat_b_0, (len(self.lon["data"]) + 1, 1)).transpose() + lon_bnds_mesh = tile(lon_b_0, (len(self.lat["data"]) + 1, 1)) - elif self.lat_bnds['data'].shape[-1] == 4: + elif self.lat_bnds["data"].shape[-1] == 4: # Irregular quadrilateral polygon cell definition - lat_bnds_mesh = np.empty((self.lat['data'].shape[0] + 1, self.lat['data'].shape[1] + 1)) - lat_bnds_mesh[:-1, :-1] = self.lat_bnds['data'][:, :, 0] - lat_bnds_mesh[:-1, 1:] = self.lat_bnds['data'][:, :, 1] - lat_bnds_mesh[1:, 1:] = self.lat_bnds['data'][:, :, 2] - lat_bnds_mesh[1:, :-1] = self.lat_bnds['data'][:, :, 3] - - lon_bnds_mesh = np.empty((self.lat['data'].shape[0] + 1, self.lat['data'].shape[1] + 1)) - lon_bnds_mesh[:-1, :-1] = self.lon_bnds['data'][:, :, 0] - lon_bnds_mesh[:-1, 1:] = self.lon_bnds['data'][:, :, 1] - lon_bnds_mesh[1:, 1:] = self.lon_bnds['data'][:, :, 2] - lon_bnds_mesh[1:, :-1] = self.lon_bnds['data'][:, :, 3] + lat_bnds_mesh = empty((self.lat["data"].shape[0] + 1, self.lat["data"].shape[1] + 1)) + lat_bnds_mesh[:-1, :-1] = self.lat_bnds["data"][:, :, 0] + lat_bnds_mesh[:-1, 1:] = self.lat_bnds["data"][:, :, 1] + lat_bnds_mesh[1:, 1:] = self.lat_bnds["data"][:, :, 2] + lat_bnds_mesh[1:, :-1] = self.lat_bnds["data"][:, :, 3] + + lon_bnds_mesh = empty((self.lat["data"].shape[0] + 1, self.lat["data"].shape[1] + 1)) + lon_bnds_mesh[:-1, :-1] = self.lon_bnds["data"][:, :, 0] + lon_bnds_mesh[:-1, 1:] = self.lon_bnds["data"][:, :, 1] + lon_bnds_mesh[1:, 1:] = self.lon_bnds["data"][:, :, 2] + lon_bnds_mesh[1:, :-1] = self.lon_bnds["data"][:, :, 3] else: - raise RuntimeError("Invalid number of vertices: {0}".format(self.lat_bnds['data'].shape[-1])) + raise RuntimeError("Invalid number of vertices: {0}".format(self.lat_bnds["data"].shape[-1])) return lon_bnds_mesh, lat_bnds_mesh @@ -884,17 +1387,13 @@ if isinstance(var_list, str): var_list = [var_list] - if self.is_xarray: - self.dataset = self.dataset.drop_vars(var_list) - self.variables = self._get_lazy_variables() - else: - if self.variables is not None: - for var_name in var_list: - if var_name in self.variables: - if 'data' in self.variables[var_name].keys(): - del self.variables[var_name]['data'] - del self.variables[var_name] - gc.collect() + if self.variables is not None: + for var_name in var_list: + if var_name in self.variables: + if "data" in self.variables[var_name].keys(): + del self.variables[var_name]["data"] + del self.variables[var_name] + collect() return None @@ -921,8 +1420,7 @@ return None -
-[docs] + @property def get_time_interval(self): """ Calculate the interrval of hours between time steps. @@ -932,33 +1430,34 @@ int Number of hours between time steps. """ + if self.master: + time_interval = self._full_time[1] - self._full_time[0] + time_interval = int(time_interval.seconds // 3600) + else: + time_interval = None - time_interval = self._time[1] - self._time[0] - time_interval = int(time_interval.seconds // 3600) - - return time_interval
- + return self.comm.bcast(time_interval)
[docs] - def sel_time(self, time, copy=False): + def sel_time(self, time, inplace=True): """ To select only one time step. Parameters ---------- - time : datetime.datetime + time : datetime Time stamp to select. - copy : bool - Indicates if you want a copy with the selected time step (True) or to modify te existing one (False). + inplace : bool + Indicates if you want a copy with the selected time step (False) or to modify te existing one (True). Returns ------- Nes - Nes object with the data (and metadata) of the selected time step. + A Nes object with the data (and metadata) of the selected time step. """ - if copy: + if not inplace: aux_nessy = self.copy(copy_vars=False) aux_nessy.comm = self.comm else: @@ -970,19 +1469,19 @@ idx_time = aux_nessy.time.index(time) aux_nessy.time = [self.time[idx_time]] - aux_nessy._time = aux_nessy.time + aux_nessy._full_time = aux_nessy.time for var_name, var_info in self.variables.items(): if copy: aux_nessy.variables[var_name] = {} for att_name, att_value in var_info.items(): - if att_name == 'data': + if att_name == "data": if att_value is None: raise ValueError("{} data not loaded".format(var_name)) aux_nessy.variables[var_name][att_name] = att_value[[idx_time]] else: aux_nessy.variables[var_name][att_name] = att_value else: - aux_nessy.variables[var_name]['data'] = aux_nessy.variables[var_name]['data'][[idx_time]] + aux_nessy.variables[var_name]["data"] = aux_nessy.variables[var_name]["data"][[idx_time]] return aux_nessy
@@ -992,14 +1491,50 @@ def sel(self, hours_start=None, time_min=None, hours_end=None, time_max=None, lev_min=None, lev_max=None, lat_min=None, lat_max=None, lon_min=None, lon_max=None): """ - Select a slice of time, lev, lat or lon given a minimum and maximum limits. - """ + Select a slice of time, vertical level, latitude, or longitude given minimum and maximum limits. + + Parameters + ---------- + hours_start : int, optional + The number of hours from the start to begin the selection. + time_min : datetime, optional + The minimum datetime for the time selection. Mutually exclusive with `hours_start`. + hours_end : int, optional + The number of hours from the end to end the selection. + time_max : datetime, optional + The maximum datetime for the time selection. Mutually exclusive with `hours_end`. + lev_min : int, optional + The minimum vertical level index for the selection. + lev_max : int, optional + The maximum vertical level index for the selection. + lat_min : float, optional + The minimum latitude for the selection. + lat_max : float, optional + The maximum latitude for the selection. + lon_min : float, optional + The minimum longitude for the selection. + lon_max : float, optional + The maximum longitude for the selection. + + Returns + ------- + None + + Raises + ------ + ValueError + If any variables are already loaded or if mutually exclusive parameters are both provided. + Notes + ----- + This method updates the selection criteria for the dataset and recalculates the read and write axis limits + accordingly. It also updates the time, level, latitude, and longitude slices based on the new criteria. + """ + full_time = self.get_full_times() loaded_vars = False for var_info in self.variables.values(): - if var_info['data'] is not None: + if var_info["data"] is not None: loaded_vars = True - # var_info['data'] = None if loaded_vars: raise ValueError("Some variables have been loaded. Use select function before load.") @@ -1009,10 +1544,10 @@ raise ValueError("Choose to select by hours_start or time_min but not both") self.hours_start = hours_start elif time_min is not None: - if time_min <= self._time[0]: + if time_min <= full_time[0]: self.hours_start = 0 else: - self.hours_start = int((time_min - self._time[0]).total_seconds() // 3600) + self.hours_start = int((time_min - full_time[0]).total_seconds() // 3600) # Last time filter if hours_end is not None: @@ -1020,10 +1555,10 @@ raise ValueError("Choose to select by hours_end or time_max but not both") self.hours_end = hours_end elif time_max is not None: - if time_max >= self._time[-1]: + if time_max >= full_time[-1]: self.hours_end = 0 else: - self.hours_end = int((self._time[-1] - time_max).total_seconds() // 3600) + self.hours_end = int((full_time[-1] - time_max).total_seconds() // 3600) # Level filter self.first_level = lev_min @@ -1036,59 +1571,60 @@ self.lon_max = lon_max # New axis limits - self.read_axis_limits = self.get_read_axis_limits() + self.read_axis_limits = self._get_read_axis_limits() # Dimensions screening - self.time = self._time[self.read_axis_limits['t_min']:self.read_axis_limits['t_max']] - self.time_bnds = self._time_bnds - self.lev = self._get_coordinate_values(self._lev, 'Z') - self.lat = self._get_coordinate_values(self._lat, 'Y') - self.lon = self._get_coordinate_values(self._lon, 'X') + self.time = self.get_full_times()[self.read_axis_limits["t_min"]:self.read_axis_limits["t_max"]] + self.time_bnds = self.get_full_time_bnds() + self.lev = self._get_coordinate_values(self.get_full_levels(), "Z") + self.lat = self._get_coordinate_values(self.get_full_latitudes(), "Y") + self.lon = self._get_coordinate_values(self.get_full_longitudes(), "X") - self.lat_bnds = self._get_coordinate_values(self._lat_bnds, 'Y', bounds=True) - self.lon_bnds = self._get_coordinate_values(self._lon_bnds, 'X', bounds=True) + self.lat_bnds = self._get_coordinate_values(self.get_full_latitudes_boundaries(), "Y", bounds=True) + self.lon_bnds = self._get_coordinate_values(self.get_full_longitudes_boundaries(), "X", bounds=True) # Filter dimensions - self.filter_coordinates_selection() + self._filter_coordinates_selection() # Removing complete coordinates - self.write_axis_limits = self.get_write_axis_limits() + self.write_axis_limits = self._get_write_axis_limits() return None -
-[docs] - def filter_coordinates_selection(self): + def _filter_coordinates_selection(self): """ Use the selection limits to filter time, lev, lat, lon, lon_bnds and lat_bnds. """ - idx = self.get_idx_intervals() - - self._time = self._time[idx['idx_t_min']:idx['idx_t_max']] - self._lev['data'] = self._lev['data'][idx['idx_z_min']:idx['idx_z_max']] - - if len(self._lat['data'].shape) == 1: - # Regular projection - self._lat['data'] = self._lat['data'][idx['idx_y_min']:idx['idx_y_max']] - self._lon['data'] = self._lon['data'][idx['idx_x_min']:idx['idx_x_max']] + idx = self._get_idx_intervals() - if self._lat_bnds is not None: - self._lat_bnds['data'] = self._lat_bnds['data'][idx['idx_y_min']:idx['idx_y_max'], :] - if self._lon_bnds is not None: - self._lon_bnds['data'] = self._lon_bnds['data'][idx['idx_x_min']:idx['idx_x_max'], :] - else: - # Irregular projections - self._lat['data'] = self._lat['data'][idx['idx_y_min']:idx['idx_y_max'], idx['idx_x_min']:idx['idx_x_max']] - self._lon['data'] = self._lon['data'][idx['idx_y_min']:idx['idx_y_max'], idx['idx_x_min']:idx['idx_x_max']] - - if self._lat_bnds is not None: - self._lat_bnds['data'] = self._lat_bnds['data'][idx['idx_y_min']:idx['idx_y_max'], - idx['idx_x_min']:idx['idx_x_max'], :] - if self._lon_bnds is not None: - self._lon_bnds['data'] = self._lon_bnds['data'][idx['idx_y_min']:idx['idx_y_max'], - idx['idx_x_min']:idx['idx_x_max'], :] + if self.master: + self._full_time = self._full_time[idx["idx_t_min"]:idx["idx_t_max"]] + self._full_lev["data"] = self._full_lev["data"][idx["idx_z_min"]:idx["idx_z_max"]] + + if len(self._full_lat["data"].shape) == 1: + # Regular projection + self._full_lat["data"] = self._full_lat["data"][idx["idx_y_min"]:idx["idx_y_max"]] + self._full_lon["data"] = self._full_lon["data"][idx["idx_x_min"]:idx["idx_x_max"]] + + if self._full_lat_bnds is not None: + self._full_lat_bnds["data"] = self._full_lat_bnds["data"][idx["idx_y_min"]:idx["idx_y_max"], :] + if self._full_lon_bnds is not None: + self._full_lon_bnds["data"] = self._full_lon_bnds["data"][idx["idx_x_min"]:idx["idx_x_max"], :] + else: + # Irregular projections + self._full_lat["data"] = self._full_lat["data"][idx["idx_y_min"]:idx["idx_y_max"], + idx["idx_x_min"]:idx["idx_x_max"]] + self._full_lon["data"] = self._full_lon["data"][idx["idx_y_min"]:idx["idx_y_max"], + idx["idx_x_min"]:idx["idx_x_max"]] + + if self._full_lat_bnds is not None: + self._full_lat_bnds["data"] = self._full_lat_bnds["data"][idx["idx_y_min"]:idx["idx_y_max"], + idx["idx_x_min"]:idx["idx_x_max"], :] + if self._full_lon_bnds is not None: + self._full_lon_bnds["data"] = self._full_lon_bnds["data"][idx["idx_y_min"]:idx["idx_y_max"], + idx["idx_x_min"]:idx["idx_x_max"], :] self.hours_start = 0 self.hours_end = 0 @@ -1099,26 +1635,32 @@ self.lon_max = None self.lon_min = None - return None
- + return None - def _get_projection(self): + def _get_projection_data(self, create_nes, **kwargs): """ - Must be implemented on inner class. + Retrieves projection data based on grid details. + + Parameters + ---------- + create_nes : bool + Flag indicating whether to create new object (True) or use existing (False). + **kwargs : dict + Additional keyword arguments for specifying projection details. """ - return None - - def _create_projection(self, **kwargs): + raise NotImplementedError("Must be implemented on inner class.") + + @staticmethod + def _get_pyproj_projection(): """ - Must be implemented on inner class. + Retrieves Pyproj projection data based on grid details. + """ - return None + raise NotImplementedError("Must be implemented on inner class.") -
-[docs] - def get_idx_intervals(self): + def _get_idx_intervals(self): """ Calculate the index intervals @@ -1127,51 +1669,52 @@ dict Dictionary with the index intervals """ - idx = {'idx_t_min': self.get_time_id(self.hours_start, first=True), - 'idx_t_max': self.get_time_id(self.hours_end, first=False), - 'idx_z_min': self.first_level, - 'idx_z_max': self.last_level} + full_lat = self.get_full_latitudes() + full_lon = self.get_full_longitudes() + idx = {"idx_t_min": self._get_time_id(self.hours_start, first=True), + "idx_t_max": self._get_time_id(self.hours_end, first=False), + "idx_z_min": self.first_level, + "idx_z_max": self.last_level} # Axis Y if self.lat_min is None: - idx['idx_y_min'] = 0 + idx["idx_y_min"] = 0 else: - idx['idx_y_min'] = self.get_coordinate_id(self._lat['data'], self.lat_min, axis=0) + idx["idx_y_min"] = self._get_coordinate_id(full_lat["data"], self.lat_min, axis=0) if self.lat_max is None: - idx['idx_y_max'] = self._lat['data'].shape[0] + idx["idx_y_max"] = full_lat["data"].shape[0] else: - idx['idx_y_max'] = self.get_coordinate_id(self._lat['data'], self.lat_max, axis=0) + 1 + idx["idx_y_max"] = self._get_coordinate_id(full_lat["data"], self.lat_max, axis=0) + 1 - if idx['idx_y_min'] > idx['idx_y_max']: - idx_aux = copy(idx['idx_y_min']) - idx['idx_y_min'] = idx['idx_y_max'] - idx['idx_y_max'] = idx_aux + if idx["idx_y_min"] > idx["idx_y_max"]: + idx_aux = copy(idx["idx_y_min"]) + idx["idx_y_min"] = idx["idx_y_max"] + idx["idx_y_max"] = idx_aux # Axis X if self.lon_min is None: - idx['idx_x_min'] = 0 + idx["idx_x_min"] = 0 else: - if len(self._lon['data'].shape) == 1: + if len(full_lon["data"].shape) == 1: axis = 0 else: axis = 1 - idx['idx_x_min'] = self.get_coordinate_id(self._lon['data'], self.lon_min, axis=axis) + idx["idx_x_min"] = self._get_coordinate_id(full_lon["data"], self.lon_min, axis=axis) if self.lon_max is None: - idx['idx_x_max'] = self._lon['data'].shape[-1] + idx["idx_x_max"] = full_lon["data"].shape[-1] else: - if len(self._lon['data'].shape) == 1: + if len(full_lon["data"].shape) == 1: axis = 0 else: axis = 1 - idx['idx_x_max'] = self.get_coordinate_id(self._lon['data'], self.lon_max, axis=axis) + 1 - - if idx['idx_x_min'] > idx['idx_x_max']: - idx_aux = copy(idx['idx_x_min']) - idx['idx_x_min'] = idx['idx_x_max'] - idx['idx_x_max'] = idx_aux - return idx
+ idx["idx_x_max"] = self._get_coordinate_id(full_lon["data"], self.lon_max, axis=axis) + 1 + if idx["idx_x_min"] > idx["idx_x_max"]: + idx_aux = copy(idx["idx_x_min"]) + idx["idx_x_min"] = idx["idx_x_max"] + idx["idx_x_max"] = idx_aux + return idx # ================================================================================================================== # Statistics @@ -1184,19 +1727,19 @@ Modify variables to keep only the last time step. """ - if self.parallel_method == 'T': - raise NotImplementedError("Statistics are not implemented on time axis paralelitation method.") - aux_time = self._time[0].replace(hour=0, minute=0, second=0, microsecond=0) - self._time = [aux_time] + if self.parallel_method == "T": + raise NotImplementedError("Statistics are not implemented on time axis parallelization method.") + aux_time = self.get_full_times()[0].replace(hour=0, minute=0, second=0, microsecond=0) + self.set_full_times([aux_time]) self.time = [aux_time] for var_name, var_info in self.variables.items(): - if var_info['data'] is None: + if var_info["data"] is None: self.load(var_name) - aux_data = var_info['data'][-1, :] + aux_data = var_info["data"][-1, :] if len(aux_data.shape) == 3: aux_data = aux_data.reshape((1, aux_data.shape[0], aux_data.shape[1], aux_data.shape[2])) - self.variables[var_name]['data'] = aux_data + self.variables[var_name]["data"] = aux_data self.hours_start = 0 self.hours_end = 0 @@ -1205,7 +1748,7 @@
[docs] - def daily_statistic(self, op, type_op='calendar'): + def daily_statistic(self, op, type_op="calendar"): """ Calculate daily statistic. @@ -1215,45 +1758,46 @@ Statistic to perform. Accepted values: "max", "mean" and "min". type_op : str Type of statistic to perform. Accepted values: "calendar", "alltsteps", and "withoutt0". - - "calendar": Calculate the statistic using the time metadata. It will avoid single time step by day calculations + - "calendar": Calculate the statistic using the time metadata. It will avoid single time step by day + calculations - "alltsteps": Calculate a single time statistic with all the time steps. - "withoutt0": Calculate a single time statistic with all the time steps avoiding the first one. """ - if self.parallel_method == 'T': + if self.parallel_method == "T": raise NotImplementedError("Statistics are not implemented on time axis parallel method.") - time_interval = self.get_time_interval() - if type_op == 'calendar': + time_interval = self.get_time_interval + if type_op == "calendar": aux_time_bounds = [] aux_time = [] day_list = [date_aux.day for date_aux in self.time] for var_name, var_info in self.variables.items(): - if var_info['data'] is None: + if var_info["data"] is None: self.load(var_name) stat_data = None - for day in np.unique(day_list): + for day in unique(day_list): idx_first = next(i for i, val in enumerate(day_list, 0) if val == day) idx_last = len(day_list) - next(i for i, val in enumerate(reversed(day_list), 1) if val == day) if idx_first != idx_last: # To avoid single time step statistic if idx_last != len(day_list): - if op == 'mean': - data_aux = var_info['data'][idx_first:idx_last + 1, :, :, :].mean(axis=0) - elif op == 'max': - data_aux = var_info['data'][idx_first:idx_last + 1, :, :, :].max(axis=0) - elif op == 'min': - data_aux = var_info['data'][idx_first:idx_last + 1, :, :, :].min(axis=0) + if op == "mean": + data_aux = var_info["data"][idx_first:idx_last + 1, :, :, :].mean(axis=0) + elif op == "max": + data_aux = var_info["data"][idx_first:idx_last + 1, :, :, :].max(axis=0) + elif op == "min": + data_aux = var_info["data"][idx_first:idx_last + 1, :, :, :].min(axis=0) else: - raise NotImplementedError("Statistic operation '{0}' is not implemented.".format(op)) + raise NotImplementedError(f"Statistic operation '{op}' is not implemented.") aux_time_bounds.append([self.time[idx_first], self.time[idx_last]]) else: - if op == 'mean': - data_aux = var_info['data'][idx_first:, :, :, :].mean(axis=0) - elif op == 'max': - data_aux = var_info['data'][idx_first:, :, :, :].max(axis=0) - elif op == 'min': - data_aux = var_info['data'][idx_first:, :, :, :].min(axis=0) + if op == "mean": + data_aux = var_info["data"][idx_first:, :, :, :].mean(axis=0) + elif op == "max": + data_aux = var_info["data"][idx_first:, :, :, :].max(axis=0) + elif op == "min": + data_aux = var_info["data"][idx_first:, :, :, :].min(axis=0) else: - raise NotImplementedError("Statistic operation '{0}' is not implemented.".format(op)) + raise NotImplementedError(f"Statistic operation '{op}' is not implemented.") aux_time_bounds.append([self.time[idx_first], self.time[-1]]) data_aux = data_aux.reshape((1, data_aux.shape[0], data_aux.shape[1], data_aux.shape[2])) @@ -1262,62 +1806,63 @@ if stat_data is None: stat_data = data_aux.copy() else: - stat_data = np.vstack([stat_data, data_aux]) - self.variables[var_name]['data'] = stat_data - self.variables[var_name]['cell_methods'] = "time: {0} (interval: {1}hr)".format(op, time_interval) + stat_data = vstack([stat_data, data_aux]) + self.variables[var_name]["data"] = stat_data + self.variables[var_name]["cell_methods"] = "time: {0} (interval: {1}hr)".format(op, time_interval) self.time = aux_time - self._time = self.time + self.set_full_times(self.time) self.set_time_bnds(aux_time_bounds) - elif type_op == 'alltsteps': + elif type_op == "alltsteps": for var_name, var_info in self.variables.items(): - if var_info['data'] is None: + if var_info["data"] is None: self.load(var_name) - if op == 'mean': - aux_data = var_info['data'].mean(axis=0) - elif op == 'max': - aux_data = var_info['data'].max(axis=0) - elif op == 'min': - aux_data = var_info['data'].min(axis=0) + if op == "mean": + aux_data = var_info["data"].mean(axis=0) + elif op == "max": + aux_data = var_info["data"].max(axis=0) + elif op == "min": + aux_data = var_info["data"].min(axis=0) else: - raise NotImplementedError("Statistic operation '{0}' is not implemented.".format(op)) + raise NotImplementedError(f"Statistic operation '{op}' is not implemented.") if len(aux_data.shape) == 3: aux_data = aux_data.reshape((1, aux_data.shape[0], aux_data.shape[1], aux_data.shape[2])) - self.variables[var_name]['data'] = aux_data - self.variables[var_name]['cell_methods'] = "time: {0} (interval: {1}hr)".format(op, time_interval) + self.variables[var_name]["data"] = aux_data + self.variables[var_name]["cell_methods"] = "time: {0} (interval: {1}hr)".format(op, time_interval) aux_time = self.time[0].replace(hour=0, minute=0, second=0, microsecond=0) aux_time_bounds = [[self.time[0], self.time[-1]]] self.time = [aux_time] - self._time = self.time + self.set_full_times(self.time) self.set_time_bnds(aux_time_bounds) - elif type_op == 'withoutt0': + elif type_op == "withoutt0": for var_name, var_info in self.variables.items(): - if var_info['data'] is None: + if var_info["data"] is None: self.load(var_name) - if op == 'mean': - aux_data = var_info['data'][1:, :].mean(axis=0) - elif op == 'max': - aux_data = var_info['data'][1:, :].max(axis=0) - elif op == 'min': - aux_data = var_info['data'][1:, :].min(axis=0) + if op == "mean": + aux_data = var_info["data"][1:, :].mean(axis=0) + elif op == "max": + aux_data = var_info["data"][1:, :].max(axis=0) + elif op == "min": + aux_data = var_info["data"][1:, :].min(axis=0) else: - raise NotImplementedError("Statistic operation '{0}' is not implemented.".format(op)) + raise NotImplementedError(f"Statistic operation '{op}' is not implemented.") if len(aux_data.shape) == 3: aux_data = aux_data.reshape((1, aux_data.shape[0], aux_data.shape[1], aux_data.shape[2])) - self.variables[var_name]['data'] = aux_data - self.variables[var_name]['cell_methods'] = "time: {0} (interval: {1}hr)".format(op, time_interval) - aux_time = self._time[1].replace(hour=0, minute=0, second=0, microsecond=0) - aux_time_bounds = [[self._time[1], self._time[-1]]] + self.variables[var_name]["data"] = aux_data + self.variables[var_name]["cell_methods"] = "time: {0} (interval: {1}hr)".format(op, time_interval) + full_time = self.get_full_times() + aux_time = full_time[1].replace(hour=0, minute=0, second=0, microsecond=0) + aux_time_bounds = [[full_time[1], full_time[-1]]] self.time = [aux_time] - self._time = self.time + self.set_full_times(self.time) self.set_time_bnds(aux_time_bounds) else: - raise NotImplementedError("Statistic operation type '{0}' is not implemented.".format(type_op)) + raise NotImplementedError(f"Statistic operation type '{type_op}' is not implemented.") self.hours_start = 0 self.hours_end = 0 @@ -1327,13 +1872,13 @@ @staticmethod def _get_axis_index_(axis): - if axis == 'T': + if axis == "T": value = 0 - elif axis == 'Z': + elif axis == "Z": value = 1 - elif axis == 'Y': + elif axis == "Y": value = 2 - elif axis == 'X': + elif axis == "X": value = 3 else: raise ValueError("Unknown axis: {0}".format(axis)) @@ -1342,27 +1887,27 @@
[docs] - def sum_axis(self, axis='Z'): + def sum_axis(self, axis="Z"): if self.parallel_method == axis: - raise NotImplementedError("It is not possible to sum the axis with it is parallelized '{0}'".format( - self.parallel_method)) + raise NotImplementedError( + f"It is not possible to sum the axis with it is parallelized '{self.parallel_method}'") for var_name, var_info in self.variables.items(): - if var_info['data'] is not None: - self.variables[var_name]['data'] = self.variables[var_name]['data'].sum( + if var_info["data"] is not None: + self.variables[var_name]["data"] = self.variables[var_name]["data"].sum( axis=self._get_axis_index_(axis), keepdims=True) - if axis == 'T': - self.variables[var_name]['cell_methods'] = "time: sum (interval: {0}hr)".format( + if axis == "T": + self.variables[var_name]["cell_methods"] = "time: sum (interval: {0}hr)".format( (self.time[-1] - self.time[0]).total_seconds() // 3600) - if axis == 'T': + if axis == "T": self.set_time_bnds([self.time[0], self.time[-1]]) self.time = [self.time[0]] - self._time = [self._time[0]] - if axis == 'Z': - self.lev['data'] = [self.lev['data'][0]] - self._lev['data'] = [self._lev['data'][0]] + self.set_full_times([self.time[0]]) + if axis == "Z": + self.lev["data"] = array([self.lev["data"][0]]) + self.set_full_levels(self.lev) return None
@@ -1375,7 +1920,7 @@ Parameters ---------- - time : datetime.datetime + time : datetime Time element. Returns @@ -1404,10 +1949,10 @@ Returns ------- Nes - Nes object + A Nes object """ - if self.parallel_method == 'T': + if self.parallel_method == "T": raise NotImplementedError("The rolling mean cannot be calculated using the time axis parallel method.") aux_nessy = self.copy(copy_vars=False) @@ -1420,21 +1965,21 @@ for var_name in var_list: # Load variables if they have not been loaded previously - if self.variables[var_name]['data'] is None: + if self.variables[var_name]["data"] is None: self.load(var_name) - + # Get original file shape - nessy_shape = self.variables[var_name]['data'].shape + nessy_shape = self.variables[var_name]["data"].shape # Initialise array aux_nessy.variables[var_name] = {} - aux_nessy.variables[var_name]['data'] = np.empty(shape=nessy_shape) - aux_nessy.variables[var_name]['dimensions'] = deepcopy(self.variables[var_name]['dimensions']) + aux_nessy.variables[var_name]["data"] = empty(shape=nessy_shape) + aux_nessy.variables[var_name]["dimensions"] = deepcopy(self.variables[var_name]["dimensions"]) for curr_time in self.time: # Get previous time given a set of hours prev_time = curr_time - timedelta(hours=(hours-1)) - + # Get time indices curr_time_id = self.find_time_id(curr_time) prev_time_id = self.find_time_id(prev_time) @@ -1442,17 +1987,17 @@ # Get mean if previous time is available if prev_time_id is not None: if self.info: - print(f'Calculating mean between {prev_time} and {curr_time}.') - aux_nessy.variables[var_name]['data'][curr_time_id, :, :, :] = self.variables[var_name]['data'][ + print(f"Calculating mean between {prev_time} and {curr_time}.") + aux_nessy.variables[var_name]["data"][curr_time_id, :, :, :] = self.variables[var_name]["data"][ prev_time_id:curr_time_id, :, :, :].mean(axis=0, keepdims=True) # Fill with nan if previous time is not available - else: + else: if self.info: - msg = f'Mean between {prev_time} and {curr_time} cannot be calculated ' - msg += f'because data for {prev_time} is not available.' + msg = f"Mean between {prev_time} and {curr_time} cannot be calculated " + msg += f"because data for {prev_time} is not available." print(msg) - aux_nessy.variables[var_name]['data'][curr_time_id, :, :, :] = np.full(shape= - (1, nessy_shape[1], nessy_shape[2], nessy_shape[3]), fill_value=np.nan) + aux_nessy.variables[var_name]["data"][curr_time_id, :, :, :] = full( + shape=(1, nessy_shape[1], nessy_shape[2], nessy_shape[3]), fill_value=nan) return aux_nessy
@@ -1461,9 +2006,7 @@ # Reading # ================================================================================================================== -
-[docs] - def get_read_axis_limits(self): + def _get_read_axis_limits(self): """ Calculate the 4D reading axis limits depending on if them have to balanced or not. @@ -1475,14 +2018,11 @@ """ if self.balanced: - return self.get_read_axis_limits_balanced() + return self._get_read_axis_limits_balanced() else: - return self.get_read_axis_limits_unbalanced()
+ return self._get_read_axis_limits_unbalanced() - -
-[docs] - def get_read_axis_limits_unbalanced(self): + def _get_read_axis_limits_unbalanced(self): """ Calculate the 4D reading axis limits. @@ -1493,84 +2033,81 @@ t_min, t_max, z_min, z_max, y_min, y_max, x_min and x_max. """ - axis_limits = {'x_min': None, 'x_max': None, - 'y_min': None, 'y_max': None, - 'z_min': None, 'z_max': None, - 't_min': None, 't_max': None} + axis_limits = {"x_min": None, "x_max": None, + "y_min": None, "y_max": None, + "z_min": None, "z_max": None, + "t_min": None, "t_max": None} - idx = self.get_idx_intervals() - if self.parallel_method == 'Y': - y_len = idx['idx_y_max'] - idx['idx_y_min'] + idx = self._get_idx_intervals() + if self.parallel_method == "Y": + y_len = idx["idx_y_max"] - idx["idx_y_min"] if y_len < self.size: - raise IndexError('More processors (size={0}) selected than Y elements (size={1})'.format( + raise IndexError("More processors (size={0}) selected than Y elements (size={1})".format( self.size, y_len)) - axis_limits['y_min'] = ((y_len // self.size) * self.rank) + idx['idx_y_min'] + axis_limits["y_min"] = ((y_len // self.size) * self.rank) + idx["idx_y_min"] if self.rank + 1 < self.size: - axis_limits['y_max'] = ((y_len // self.size) * (self.rank + 1)) + idx['idx_y_min'] + axis_limits["y_max"] = ((y_len // self.size) * (self.rank + 1)) + idx["idx_y_min"] else: - axis_limits['y_max'] = idx['idx_y_max'] + axis_limits["y_max"] = idx["idx_y_max"] # Non parallel filters - axis_limits['x_min'] = idx['idx_x_min'] - axis_limits['x_max'] = idx['idx_x_max'] + axis_limits["x_min"] = idx["idx_x_min"] + axis_limits["x_max"] = idx["idx_x_max"] - axis_limits['t_min'] = idx['idx_t_min'] - axis_limits['t_max'] = idx['idx_t_max'] + axis_limits["t_min"] = idx["idx_t_min"] + axis_limits["t_max"] = idx["idx_t_max"] - elif self.parallel_method == 'X': - x_len = idx['idx_x_max'] - idx['idx_x_min'] + elif self.parallel_method == "X": + x_len = idx["idx_x_max"] - idx["idx_x_min"] if x_len < self.size: - raise IndexError('More processors (size={0}) selected than X elements (size={1})'.format( + raise IndexError("More processors (size={0}) selected than X elements (size={1})".format( self.size, x_len)) - axis_limits['x_min'] = ((x_len // self.size) * self.rank) + idx['idx_x_min'] + axis_limits["x_min"] = ((x_len // self.size) * self.rank) + idx["idx_x_min"] if self.rank + 1 < self.size: - axis_limits['x_max'] = ((x_len // self.size) * (self.rank + 1)) + idx['idx_x_min'] + axis_limits["x_max"] = ((x_len // self.size) * (self.rank + 1)) + idx["idx_x_min"] else: - axis_limits['x_max'] = idx['idx_x_max'] + axis_limits["x_max"] = idx["idx_x_max"] # Non parallel filters - axis_limits['y_min'] = idx['idx_y_min'] - axis_limits['y_max'] = idx['idx_y_max'] + axis_limits["y_min"] = idx["idx_y_min"] + axis_limits["y_max"] = idx["idx_y_max"] - axis_limits['t_min'] = idx['idx_t_min'] - axis_limits['t_max'] = idx['idx_t_max'] + axis_limits["t_min"] = idx["idx_t_min"] + axis_limits["t_max"] = idx["idx_t_max"] - elif self.parallel_method == 'T': - t_len = idx['idx_t_max'] - idx['idx_t_min'] + elif self.parallel_method == "T": + t_len = idx["idx_t_max"] - idx["idx_t_min"] if t_len < self.size: - raise IndexError('More processors (size={0}) selected than T elements (size={1})'.format( + raise IndexError("More processors (size={0}) selected than T elements (size={1})".format( self.size, t_len)) - axis_limits['t_min'] = ((t_len // self.size) * self.rank) + idx['idx_t_min'] + axis_limits["t_min"] = ((t_len // self.size) * self.rank) + idx["idx_t_min"] if self.rank + 1 < self.size: - axis_limits['t_max'] = ((t_len // self.size) * (self.rank + 1)) + idx['idx_t_min'] + axis_limits["t_max"] = ((t_len // self.size) * (self.rank + 1)) + idx["idx_t_min"] # Non parallel filters - axis_limits['y_min'] = idx['idx_y_min'] - axis_limits['y_max'] = idx['idx_y_max'] + axis_limits["y_min"] = idx["idx_y_min"] + axis_limits["y_max"] = idx["idx_y_max"] - axis_limits['x_min'] = idx['idx_x_min'] - axis_limits['x_max'] = idx['idx_x_max'] + axis_limits["x_min"] = idx["idx_x_min"] + axis_limits["x_max"] = idx["idx_x_max"] else: raise NotImplementedError("Parallel method '{meth}' is not implemented. Use one of these: {accept}".format( - meth=self.parallel_method, accept=['X', 'Y', 'T'])) + meth=self.parallel_method, accept=["X", "Y", "T"])) # Vertical levels selection: - axis_limits['z_min'] = self.first_level + axis_limits["z_min"] = self.first_level if self.last_level == -1 or self.last_level is None: self.last_level = None - elif self.last_level + 1 == len(self._lev['data']): + elif self.last_level + 1 == len(self.get_full_levels()["data"]): self.last_level = None else: self.last_level += 1 - axis_limits['z_max'] = self.last_level - - return axis_limits
+ axis_limits["z_max"] = self.last_level + return axis_limits -
-[docs] - def get_read_axis_limits_balanced(self): + def _get_read_axis_limits_balanced(self): """ Calculate the 4D reading balanced axis limits. @@ -1580,47 +2117,46 @@ Dictionary with the 4D limits of the rank data to read. t_min, t_max, z_min, z_max, y_min, y_max, x_min and x_max. """ - idx = self.get_idx_intervals() + idx = self._get_idx_intervals() fid_dist = {} - if self.parallel_method == 'Y': - len_to_split = idx['idx_y_max'] - idx['idx_y_min'] + if self.parallel_method == "Y": + len_to_split = idx["idx_y_max"] - idx["idx_y_min"] if len_to_split < self.size: - raise IndexError('More processors (size={0}) selected than Y elements (size={1})'.format( + raise IndexError("More processors (size={0}) selected than Y elements (size={1})".format( self.size, len_to_split)) - min_axis = 'y_min' - max_axis = 'y_max' - to_add = idx['idx_y_min'] + min_axis = "y_min" + max_axis = "y_max" + to_add = idx["idx_y_min"] - elif self.parallel_method == 'X': - len_to_split = idx['idx_x_max'] - idx['idx_x_min'] + elif self.parallel_method == "X": + len_to_split = idx["idx_x_max"] - idx["idx_x_min"] if len_to_split < self.size: - raise IndexError('More processors (size={0}) selected than X elements (size={1})'.format( + raise IndexError("More processors (size={0}) selected than X elements (size={1})".format( self.size, len_to_split)) - min_axis = 'x_min' - max_axis = 'x_max' - to_add = idx['idx_x_min'] - elif self.parallel_method == 'T': - len_to_split = idx['idx_t_max'] - idx['idx_t_min'] + min_axis = "x_min" + max_axis = "x_max" + to_add = idx["idx_x_min"] + elif self.parallel_method == "T": + len_to_split = idx["idx_t_max"] - idx["idx_t_min"] if len_to_split < self.size: - raise IndexError('More processors (size={0}) selected than T elements (size={1})'.format( - self.size, len_to_split)) - min_axis = 't_min' - max_axis = 't_max' - to_add = idx['idx_t_min'] + raise IndexError(f"More processors (size={self.size}) selected than T elements (size={len_to_split})") + min_axis = "t_min" + max_axis = "t_max" + to_add = idx["idx_t_min"] else: raise NotImplementedError("Parallel method '{meth}' is not implemented. Use one of these: {accept}".format( - meth=self.parallel_method, accept=['X', 'Y', 'T'])) + meth=self.parallel_method, accept=["X", "Y", "T"])) procs_len = len_to_split // self.size procs_rows_extended = len_to_split - (procs_len * self.size) rows_sum = 0 for proc in range(self.size): - fid_dist[proc] = {'x_min': 0, 'x_max': None, - 'y_min': 0, 'y_max': None, - 'z_min': 0, 'z_max': None, - 't_min': 0, 't_max': None} + fid_dist[proc] = {"x_min": 0, "x_max": None, + "y_min": 0, "y_max": None, + "z_min": 0, "z_max": None, + "t_min": 0, "t_max": None} if proc < procs_rows_extended: aux_rows = procs_len + 1 else: @@ -1648,32 +2184,29 @@ axis_limits = fid_dist[self.rank] # Non parallel filters - if self.parallel_method != 'T': - axis_limits['t_min'] = idx['idx_t_min'] - axis_limits['t_max'] = idx['idx_t_max'] - if self.parallel_method != 'X': - axis_limits['x_min'] = idx['idx_x_min'] - axis_limits['x_max'] = idx['idx_x_max'] - if self.parallel_method != 'Y': - axis_limits['y_min'] = idx['idx_y_min'] - axis_limits['y_max'] = idx['idx_y_max'] + if self.parallel_method != "T": + axis_limits["t_min"] = idx["idx_t_min"] + axis_limits["t_max"] = idx["idx_t_max"] + if self.parallel_method != "X": + axis_limits["x_min"] = idx["idx_x_min"] + axis_limits["x_max"] = idx["idx_x_max"] + if self.parallel_method != "Y": + axis_limits["y_min"] = idx["idx_y_min"] + axis_limits["y_max"] = idx["idx_y_max"] # Vertical levels selection: - axis_limits['z_min'] = self.first_level + axis_limits["z_min"] = self.first_level if self.last_level == -1 or self.last_level is None: self.last_level = None - elif self.last_level + 1 == len(self._lev['data']): + elif self.last_level + 1 == len(self.get_full_levels()["data"]): self.last_level = None else: self.last_level += 1 - axis_limits['z_max'] = self.last_level + axis_limits["z_max"] = self.last_level - return axis_limits
+ return axis_limits - -
-[docs] - def get_time_id(self, hours, first=True): + def _get_time_id(self, hours, first=True): """ Get the index of the corresponding time value. @@ -1690,26 +2223,24 @@ int Index of the time array. """ + full_time = self.get_full_times() if first: - idx = self._time.index(self._time[0] + timedelta(hours=hours)) + idx = full_time.index(full_time[0] + timedelta(hours=hours)) else: - idx = self._time.index(self._time[-1] - timedelta(hours=hours)) + 1 - - return idx
+ idx = full_time.index(full_time[-1] - timedelta(hours=hours)) + 1 + return idx -
-[docs] @staticmethod - def get_coordinate_id(array, value, axis=0): + def _get_coordinate_id(my_array, value, axis=0): """ Get the index of the corresponding coordinate value. Parameters ---------- - array : np.array - Array with the coordinate data + my_array : array + An Array with the coordinate data value : float Coordinate value to search. axis : int @@ -1721,51 +2252,20 @@ int Index of the coordinate array. """ - idx = (np.abs(array - value)).argmin(axis=axis).min() - - return idx
+ idx = (abs(my_array - value)).argmin(axis=axis).min() + return idx -
-[docs] - def open(self): + def _open(self): """ Open the NetCDF. """ - if self.is_xarray: - self.dataset = self.__open_dataset() - self.netcdf = None - else: - self.dataset = None - self.netcdf = self.__open_netcdf4() - - return None
- - - def __open_dataset(self): - """ - Open the NetCDF with xarray. - - Returns - ------- - dataset : xr.Dataset - Open dataset. - """ - - if self.master: - warnings.filterwarnings('ignore') # Disabling warnings while reading MONARCH original file - dataset = open_dataset(self.__ini_path, decode_coords='all') - warnings.filterwarnings('default') # Re-activating warnings - else: - dataset = None - - dataset = self.comm.bcast(dataset, root=0) - self.dataset = dataset + self.dataset = self.__open_netcdf4() - return dataset + return None - def __open_netcdf4(self, mode='r'): + def __open_netcdf4(self, mode="r"): """ Open the NetCDF with netcdf4-python. @@ -1773,7 +2273,7 @@ ---------- mode : str Inheritance from mode parameter from https://unidata.github.io/netcdf4-python/#Dataset.__init__ - Default: 'r' (read-only). + Default: "r" (read-only). Returns ------- netcdf : Dataset @@ -1785,7 +2285,7 @@ else: netcdf = Dataset(self.__ini_path, format="NETCDF4", mode=mode, parallel=True, comm=self.comm, info=MPI.Info()) - self.netcdf = netcdf + self.dataset = netcdf return netcdf @@ -1795,32 +2295,29 @@ """ Close the NetCDF with netcdf4-python. """ - if (hasattr(self, 'serial_nc')) and (self.serial_nc is not None): + if (hasattr(self, "serial_nc")) and (self.serial_nc is not None): if self.master: self.serial_nc.close() self.serial_nc = None - if (hasattr(self, 'netcdf')) and (self.netcdf is not None): - self.netcdf.close() - self.netcdf = None + if (hasattr(self, "dataset")) and (self.dataset is not None): + self.dataset.close() + self.dataset = None return None - def __get_dates_from_months(self, time, units, calendar): + @staticmethod + def __get_dates_from_months(time): """ Calculates the number of days since the first date - in the 'time' list and store in new list: - This is useful when the units are 'months since', - which cannot be transformed to dates using num2date. + in the "time" list and store in new list: + This is useful when the units are "months since", + which cannot be transformed to dates using "num2date". Parameter --------- - time: List + time: List[datetime] Original time. - units: str - CF compliant time units. - calendar: str - Original calendar. Returns ------- @@ -1828,10 +2325,8 @@ CF compliant time. """ - start_date_str = time.units.split('since')[1].lstrip() - start_date = datetime.datetime(int(start_date_str[0:4]), - int(start_date_str[5:7]), - int(start_date_str[8:10])) + start_date_str = time.units.split("since")[1].lstrip() + start_date = datetime(int(start_date_str[0:4]), int(start_date_str[5:7]), int(start_date_str[8:10])) new_time_deltas = [] @@ -1864,18 +2359,18 @@ units = self.__parse_time_unit(time.units) - if not hasattr(time, 'calendar'): - calendar = 'standard' + if not hasattr(time, "calendar"): + calendar = "standard" else: calendar = time.calendar - if 'months since' in time.units: - units = 'days since ' + time.units.split('since')[1].lstrip() - time = self.__get_dates_from_months(time, units, calendar) + if "months since" in time.units: + units = "days since " + time.units.split("since")[1].lstrip() + time = self.__get_dates_from_months(time) time_data = time[:] - if len(time_data) == 1 and np.isnan(time_data[0]): + if len(time_data) == 1 and isnan(time_data[0]): time_data[0] = 0 return time_data, units, calendar @@ -1896,8 +2391,8 @@ CF compliant time units. """ - if 'h @' in t_units: - t_units = 'hours since {0}-{1}-{2} {3}:{4}:{5} UTC'.format( + if "h @" in t_units: + t_units = "hours since {0}-{1}-{2} {3}:{4}:{5} UTC".format( t_units[4:8], t_units[8:10], t_units[10:12], t_units[13:15], t_units[15:17], t_units[17:-4]) return t_units @@ -1917,17 +2412,17 @@ str Time variable resolution """ - if 'day' in units or 'days' in units: - resolution = 'days' - elif 'hour' in units or 'hours' in units: - resolution = 'hours' - elif 'minute' in units or 'minutes' in units: - resolution = 'minutes' - elif 'second' in units or 'seconds' in units: - resolution = 'seconds' + if "day" in units or "days" in units: + resolution = "days" + elif "hour" in units or "hours" in units: + resolution = "hours" + elif "minute" in units or "minutes" in units: + resolution = "minutes" + elif "second" in units or "seconds" in units: + resolution = "seconds" else: - # Default resolution is 'hours' - resolution = 'hours' + # Default resolution is "hours" + resolution = "hours" return resolution def __get_time(self): @@ -1936,28 +2431,23 @@ Returns ------- - time : List - List of times (datetime.datetime) of the NetCDF data. + time : List[datetime] + List of times (datetime) of the NetCDF data. """ - - if self.is_xarray: - time = self.variables['time'] + if self.master: + nc_var = self.dataset.variables["time"] + time_data, units, calendar = self.__parse_time(nc_var) + # Extracting time resolution depending on the units + self._time_resolution = self.__get_time_resolution_from_units(units) + # Checking if it is a climatology dataset + if hasattr(nc_var, "climatology"): + self._climatology = True + self._climatology_var_name = nc_var.climatology + time = num2date(time_data, units, calendar=calendar) + time = [datetime(year=dt.year, month=dt.month, day=dt.day, hour=dt.hour, minute=dt.minute) for dt in time] else: - if self.master: - nc_var = self.netcdf.variables['time'] - time_data, units, calendar = self.__parse_time(nc_var) - # Extracting time resolution depending on the units - self._time_resolution = self.__get_time_resolution_from_units(units) - # Checking if it is a climatology dataset - if hasattr(nc_var, 'climatology'): - self._climatology = True - self._climatology_var_name = nc_var.climatology - time = num2date(time_data, units, calendar=calendar) - time = [aux.replace(second=0, microsecond=0) for aux in time] - else: - time = None - time = self.comm.bcast(time, root=0) - self.free_vars('time') + time = None + self.free_vars("time") return time @@ -1973,19 +2463,31 @@ Returns ------- time_bnds : List - List of time bounds (datetime) of the NetCDF data. + A List of time bounds (datetime) of the NetCDF data. """ - if self.master: - if not create_nes: - if 'time_bnds' in self.netcdf.variables.keys() or self._climatology: - time = self.netcdf.variables['time'] + if not create_nes: + if self.master: + if "time_bnds" in self.dataset.variables.keys() or self._climatology: + time = self.dataset.variables["time"] if self._climatology: - nc_var = self.netcdf.variables[self._climatology_var_name] + nc_var = self.dataset.variables[self._climatology_var_name] else: - nc_var = self.netcdf.variables['time_bnds'] + nc_var = self.dataset.variables["time_bnds"] time_bnds = num2date(nc_var[:], self.__parse_time_unit(time.units), calendar=time.calendar).tolist() + # Iterate over each inner list + for inner_list in time_bnds: + # Create a new list to store datetime objects + new_inner_list = [] + # Iterate over datetime objects within each inner list + for dt in inner_list: + # Access year, month, day, hour, and minute attributes of datetime objects + new_dt = datetime(year=dt.year, month=dt.month, day=dt.day, hour=dt.hour, minute=dt.minute) + # Append the new datetime object to the new inner list + new_inner_list.append(new_dt) + # Replace the old inner list with the new one + time_bnds[time_bnds.index(inner_list)] = new_inner_list else: time_bnds = None else: @@ -1993,9 +2495,7 @@ else: time_bnds = None - time_bnds = self.comm.bcast(time_bnds, root=0) - - self.free_vars('time_bnds') + self.free_vars("time_bnds") return time_bnds @@ -2010,36 +2510,31 @@ Returns ------- - lat_bnds : List + lat_bnds : dict Latitude bounds of the NetCDF data. - lon_bnds : List + lon_bnds : dict Longitude bounds of the NetCDF data. """ - if self.is_xarray: - lat_bnds = self.variables['lat_bnds'] - lon_bnds = self.variables['lon_bnds'] - else: + if not create_nes: if self.master: - if not create_nes: - if 'lat_bnds' in self.netcdf.variables.keys(): - lat_bnds = {'data': self._unmask_array(self.netcdf.variables['lat_bnds'][:])} - else: - lat_bnds = None - if 'lon_bnds' in self.netcdf.variables.keys(): - lon_bnds = {'data': self._unmask_array(self.netcdf.variables['lon_bnds'][:])} - else: - lon_bnds = None + if "lat_bnds" in self.dataset.variables.keys(): + lat_bnds = {"data": self._unmask_array(self.dataset.variables["lat_bnds"][:])} else: lat_bnds = None + + if "lon_bnds" in self.dataset.variables.keys(): + lon_bnds = {"data": self._unmask_array(self.dataset.variables["lon_bnds"][:])} + else: lon_bnds = None else: lat_bnds = None lon_bnds = None - lat_bnds = self.comm.bcast(lat_bnds, root=0) - lon_bnds = self.comm.bcast(lon_bnds, root=0) + else: + lat_bnds = None + lon_bnds = None - self.free_vars(['lat_bnds', 'lon_bnds']) + self.free_vars(["lat_bnds", "lon_bnds"]) return lat_bnds, lon_bnds @@ -2061,12 +2556,12 @@ c_measures = {} if self.master: if not create_nes: - if 'cell_area' in self.netcdf.variables.keys(): - c_measures['cell_area'] = {} - c_measures['cell_area']['data'] = self._unmask_array(self.netcdf.variables['cell_area'][:]) + if "cell_area" in self.dataset.variables.keys(): + c_measures["cell_area"] = {} + c_measures["cell_area"]["data"] = self._unmask_array(self.dataset.variables["cell_area"][:]) c_measures = self.comm.bcast(c_measures, root=0) - self.free_vars(['cell_area']) + self.free_vars(["cell_area"]) return c_measures @@ -2079,12 +2574,12 @@ Parameters ---------- possible_names: List, str, list - List (or single string) of the possible names of the coordinate (e.g. ['lat', 'latitude']). + A List (or single string) of the possible names of the coordinate (e.g. ["lat", "latitude"]). Returns ------- nc_var : dict - Dictionary with the 'data' key with the coordinate variable values. and the attributes as other keys. + Dictionary with the "data" key with the coordinate variable values. and the attributes as other keys. """ if isinstance(possible_names, str): @@ -2092,18 +2587,21 @@ try: dimension_name = set(possible_names).intersection(set(self.variables.keys())).pop() - if self.is_xarray: - nc_var = self.dataset[dimension_name] - else: + if self.master: nc_var = self.variables[dimension_name].copy() - nc_var['data'] = self.netcdf.variables[dimension_name][:] - if hasattr(nc_var, 'units'): - if nc_var['units'] in ['unitless', '-']: - nc_var['units'] = '' + nc_var["data"] = self.dataset.variables[dimension_name][:] + if hasattr(nc_var, "units"): + if nc_var["units"] in ["unitless", "-"]: + nc_var["units"] = "" + else: + nc_var = None self.free_vars(dimension_name) except KeyError: - nc_var = {'data': np.array([0]), - 'units': ''} + if self.master: + nc_var = {"data": array([0]), + "units": ""} + else: + nc_var = None return nc_var @@ -2114,9 +2612,9 @@ Parameters ---------- coordinate_info : dict, list - Dictionary with the 'data' key with the coordinate variable values. and the attributes as other keys. + Dictionary with the "data" key with the coordinate variable values. and the attributes as other keys. coordinate_axis : str - Name of the coordinate to extract. Accepted values: ['Z', 'Y', 'X']. + Name of the coordinate to extract. Accepted values: ["Z", "Y", "X"]. bounds : bool Boolean variable to know if there are coordinate bounds. Returns @@ -2129,38 +2627,38 @@ return None if not isinstance(coordinate_info, dict): - values = {'data': deepcopy(coordinate_info)} + values = {"data": deepcopy(coordinate_info)} else: values = deepcopy(coordinate_info) - coordinate_len = len(values['data'].shape) + coordinate_len = len(values["data"].shape) if bounds: coordinate_len -= 1 - if coordinate_axis == 'Y': + if coordinate_axis == "Y": if coordinate_len == 1: - values['data'] = values['data'][self.read_axis_limits['y_min']:self.read_axis_limits['y_max']] + values["data"] = values["data"][self.read_axis_limits["y_min"]:self.read_axis_limits["y_max"]] elif coordinate_len == 2: - values['data'] = values['data'][self.read_axis_limits['y_min']:self.read_axis_limits['y_max'], - self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] + values["data"] = values["data"][self.read_axis_limits["y_min"]:self.read_axis_limits["y_max"], + self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] else: raise NotImplementedError("The coordinate has wrong dimensions: {dim}".format( - dim=values['data'].shape)) - elif coordinate_axis == 'X': + dim=values["data"].shape)) + elif coordinate_axis == "X": if coordinate_len == 1: - values['data'] = values['data'][self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] + values["data"] = values["data"][self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] elif coordinate_len == 2: - values['data'] = values['data'][self.read_axis_limits['y_min']:self.read_axis_limits['y_max'], - self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] + values["data"] = values["data"][self.read_axis_limits["y_min"]:self.read_axis_limits["y_max"], + self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] else: raise NotImplementedError("The coordinate has wrong dimensions: {dim}".format( - dim=values['data'].shape)) - elif coordinate_axis == 'Z': + dim=values["data"].shape)) + elif coordinate_axis == "Z": if coordinate_len == 1: - values['data'] = values['data'][self.read_axis_limits['z_min']:self.read_axis_limits['z_max']] + values["data"] = values["data"][self.read_axis_limits["z_min"]:self.read_axis_limits["z_max"]] else: raise NotImplementedError("The coordinate has wrong dimensions: {dim}".format( - dim=values['data'].shape)) + dim=values["data"].shape)) return values @@ -2171,7 +2669,7 @@ Parameters ---------- cell_measures_info : dict, list - Dictionary with the 'data' key with the cell measures variable values. and the attributes as other keys. + Dictionary with the "data" key with the cell measures variable values. and the attributes as other keys. Returns ------- @@ -2187,16 +2685,16 @@ for cell_measures_var in cell_measures_info.keys(): values = deepcopy(cell_measures_info[cell_measures_var]) - coordinate_len = len(values['data'].shape) + coordinate_len = len(values["data"].shape) if coordinate_len == 1: - values['data'] = values['data'][self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] + values["data"] = values["data"][self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] elif coordinate_len == 2: - values['data'] = values['data'][self.read_axis_limits['y_min']:self.read_axis_limits['y_max'], - self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] + values["data"] = values["data"][self.read_axis_limits["y_min"]:self.read_axis_limits["y_max"], + self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] else: raise NotImplementedError("The coordinate has wrong dimensions: {dim}".format( - dim=values['data'].shape)) + dim=values["data"].shape)) cell_measures_values[cell_measures_var] = values @@ -2210,40 +2708,37 @@ ------- variables : dict Dictionary with the variable name as key and another dictionary as value. - De value dictionary will have the 'data' key with None as value and all the variable attributes as the + De value dictionary will have the "data" key with None as value and all the variable attributes as the other keys. e.g. - {'var_name_1': {'data': None, 'attr_1': value_1_1, 'attr_2': value_1_2, ...}, - 'var_name_2': {'data': None, 'attr_1': value_2_1, 'attr_2': value_2_2, ...}, + {"var_name_1": {"data": None, "attr_1": value_1_1, "attr_2": value_1_2, ...}, + "var_name_2": {"data": None, "attr_1": value_2_1, "attr_2": value_2_2, ...}, ...} """ - if self.is_xarray: - variables = self.dataset.variables + if self.master: + variables = {} + # Initialise data + for var_name, var_info in self.dataset.variables.items(): + variables[var_name] = {} + variables[var_name]["data"] = None + variables[var_name]["dimensions"] = var_info.dimensions + variables[var_name]["dtype"] = var_info.dtype + if variables[var_name]["dtype"] in [str, object]: + if self.strlen is None: + self.set_strlen() + variables[var_name]["dtype"] = str + + # Avoid some attributes + for attrname in var_info.ncattrs(): + if attrname not in ["missing_value", "_FillValue", "add_offset", "scale_factor"]: + value = getattr(var_info, attrname) + if str(value) in ["unitless", "-"]: + value = "" + variables[var_name][attrname] = value else: - if self.master: - variables = {} - # Initialise data - for var_name, var_info in self.netcdf.variables.items(): - variables[var_name] = {} - variables[var_name]['data'] = None - variables[var_name]['dimensions'] = var_info.dimensions - variables[var_name]['dtype'] = var_info.dtype - if variables[var_name]['dtype'] in [str, np.object]: - if self.strlen is None: - self.set_strlen() - variables[var_name]['dtype'] = str - - # Avoid some attributes - for attrname in var_info.ncattrs(): - if attrname not in ['missing_value', '_FillValue']: - value = getattr(var_info, attrname) - if value in ['unitless', '-']: - value = '' - variables[var_name][attrname] = value - else: - variables = None - variables = self.comm.bcast(variables, root=0) + variables = None + variables = self.comm.bcast(variables, root=0) return variables @@ -2258,66 +2753,61 @@ Returns ------- - data: np.array + data: array Portion of the variable data corresponding to the rank. """ - nc_var = self.netcdf.variables[var_name] + nc_var = self.dataset.variables[var_name] var_dims = nc_var.dimensions # Read data in 4 dimensions if len(var_dims) < 2: data = nc_var[:] elif len(var_dims) == 2: - data = nc_var[self.read_axis_limits['y_min']:self.read_axis_limits['y_max'], - self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] + data = nc_var[self.read_axis_limits["y_min"]:self.read_axis_limits["y_max"], + self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] data = data.reshape(1, 1, data.shape[-2], data.shape[-1]) elif len(var_dims) == 3: - if 'strlen' in var_dims: - data = nc_var[self.read_axis_limits['y_min']:self.read_axis_limits['y_max'], - self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], + if "strlen" in var_dims: + data = nc_var[self.read_axis_limits["y_min"]:self.read_axis_limits["y_max"], + self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"], :] - data_aux = np.empty(shape=(data.shape[0], data.shape[1]), dtype=np.object) + data_aux = empty(shape=(data.shape[0], data.shape[1]), dtype=object) for lat_n in range(data.shape[0]): for lon_n in range(data.shape[1]): - data_aux[lat_n, lon_n] = ''.join( - data[lat_n, lon_n].tostring().decode('ascii').replace('\x00', '')) + data_aux[lat_n, lon_n] = "".join( + data[lat_n, lon_n].tobytes().decode("ascii").replace("\x00", "")) data = data_aux.reshape((1, 1, data_aux.shape[-2], data_aux.shape[-1])) else: - data = nc_var[self.read_axis_limits['t_min']:self.read_axis_limits['t_max'], - self.read_axis_limits['y_min']:self.read_axis_limits['y_max'], - self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] + data = nc_var[self.read_axis_limits["t_min"]:self.read_axis_limits["t_max"], + self.read_axis_limits["y_min"]:self.read_axis_limits["y_max"], + self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] data = data.reshape(data.shape[-3], 1, data.shape[-2], data.shape[-1]) elif len(var_dims) == 4: - data = nc_var[self.read_axis_limits['t_min']:self.read_axis_limits['t_max'], - self.read_axis_limits['z_min']:self.read_axis_limits['z_max'], - self.read_axis_limits['y_min']:self.read_axis_limits['y_max'], - self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] + data = nc_var[self.read_axis_limits["t_min"]:self.read_axis_limits["t_max"], + self.read_axis_limits["z_min"]:self.read_axis_limits["z_max"], + self.read_axis_limits["y_min"]:self.read_axis_limits["y_max"], + self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] elif len(var_dims) == 5: - if 'strlen' in var_dims: - data = nc_var[self.read_axis_limits['t_min']:self.read_axis_limits['t_max'], - self.read_axis_limits['z_min']:self.read_axis_limits['z_max'], - self.read_axis_limits['y_min']:self.read_axis_limits['y_max'], - self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], + if "strlen" in var_dims: + data = nc_var[self.read_axis_limits["t_min"]:self.read_axis_limits["t_max"], + self.read_axis_limits["z_min"]:self.read_axis_limits["z_max"], + self.read_axis_limits["y_min"]:self.read_axis_limits["y_max"], + self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"], :] - data_aux = np.empty(shape=(data.shape[0], data.shape[1], data.shape[2], data.shape[3]), dtype=np.object) + data_aux = empty(shape=(data.shape[0], data.shape[1], data.shape[2], data.shape[3]), dtype=object) for time_n in range(data.shape[0]): for lev_n in range(data.shape[1]): for lat_n in range(data.shape[2]): for lon_n in range(data.shape[3]): - data_aux[time_n, lev_n, lat_n, lon_n] = ''.join( - data[time_n, lev_n, lat_n, lon_n].tostring().decode('ascii').replace('\x00', '')) + data_aux[time_n, lev_n, lat_n, lon_n] = "".join( + data[time_n, lev_n, lat_n, lon_n].tobytes().decode("ascii").replace("\x00", "")) data = data_aux else: - # data = nc_var[self.read_axis_limits['t_min']:self.read_axis_limits['t_max'], - # :, - # self.read_axis_limits['z_min']:self.read_axis_limits['z_max'], - # self.read_axis_limits['y_min']:self.read_axis_limits['y_max'], - # self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] - raise NotImplementedError('Error with {0}. Only can be read netCDF with 4 dimensions or less'.format( + raise NotImplementedError("Error with {0}. Only can be read netCDF with 4 dimensions or less".format( var_name)) else: - raise NotImplementedError('Error with {0}. Only can be read netCDF with 4 dimensions or less'.format( + raise NotImplementedError("Error with {0}. Only can be read netCDF with 4 dimensions or less".format( var_name)) # Unmask array @@ -2331,7 +2821,7 @@ """ Load of the selected variables. - That function will fill the variable 'data' key with the corresponding values. + That function will fill the variable "data" key with the corresponding values. Parameters ---------- @@ -2339,11 +2829,11 @@ List (or single string) of the variables to be loaded. """ - if (self.__ini_path is None) and (self.dataset is None) and (self.netcdf is None): - raise RuntimeError('Only data from existing files can be loaded.') + if (self.__ini_path is None) and (self.dataset is None): + raise RuntimeError("Only data from existing files can be loaded.") - if self.netcdf is None: - self.__open_dataset() + if self.dataset is None: + self.__open_netcdf4() close = True else: close = False @@ -2356,21 +2846,21 @@ for i, var_name in enumerate(var_list): if self.info: print("Rank {0:03d}: Loading {1} var ({2}/{3})".format(self.rank, var_name, i + 1, len(var_list))) - if self.variables[var_name]['data'] is None: - self.variables[var_name]['data'] = self._read_variable(var_name) + if self.variables[var_name]["data"] is None: + self.variables[var_name]["data"] = self._read_variable(var_name) # Data type changes when joining characters in read_variable (S1 to S+strlen) - if 'strlen' in self.variables[var_name]['dimensions']: + if "strlen" in self.variables[var_name]["dimensions"]: if self.strlen is None: self.set_strlen() - self.variables[var_name]['dtype'] = str - self.variables[var_name]['dimensions'] = tuple([x for x in self.variables[var_name]['dimensions'] + self.variables[var_name]["dtype"] = str + self.variables[var_name]["dimensions"] = tuple([x for x in self.variables[var_name]["dimensions"] if x != "strlen"]) else: if self.master: print("Data for {0} was previously loaded. Skipping variable.".format(var_name)) if self.info: print("Rank {0:03d}: Loaded {1} var ({2})".format( - self.rank, var_name, self.variables[var_name]['data'].shape)) + self.rank, var_name, self.variables[var_name]["data"].shape)) if close: self.close() @@ -2385,40 +2875,40 @@ Parameters ---------- - data : np.array + data : array Masked array to unmask. Returns ------- - np.array + array Unmasked array. """ - if isinstance(data, np.ma.MaskedArray): + if isinstance(data, ma.MaskedArray): try: - data = data.filled(np.nan) + data = data.filled(nan) except TypeError: - msg = 'Data missing values cannot be converted to np.nan.' - warnings.warn(msg) + msg = "Data missing values cannot be converted to nan." + warn(msg) sys.stderr.flush() return data
[docs] - def to_dtype(self, data_type='float32'): + def to_dtype(self, data_type="float32"): """ Cast variables data into selected data type. Parameters ---------- data_type : str or Type - Data type, by default 'float32' + Data type, by default "float32" """ for var_name, var_info in self.variables.items(): - if isinstance(var_info['data'], np.ndarray): - self.variables[var_name]['data'] = self.variables[var_name]['data'].astype(data_type) - self.variables[var_name]['dtype'] = data_type + if isinstance(var_info["data"], ndarray): + self.variables[var_name]["data"] = self.variables[var_name]["data"].astype(data_type) + self.variables[var_name]["dtype"] = data_type return None
@@ -2437,19 +2927,18 @@ Returns ------- list - List of var names added. + A List of var names added. """ if isinstance(aux_nessy, str): aux_nessy = self.new(path=aux_nessy, comm=self.comm, parallel_method=self.parallel_method, - xarray=self.is_xarray, avoid_first_hours=self.hours_start, avoid_last_hours=self.hours_end, first_level=self.first_level, last_level=self.last_level) new = True else: new = False for var_name, var_info in aux_nessy.variables.items(): - if var_info['data'] is None: + if var_info["data"] is None: aux_nessy.read_axis_limits = self.read_axis_limits aux_nessy.load(var_name) @@ -2481,12 +2970,10 @@ """ gl_attrs = {} - if self.is_xarray: - gl_attrs = self.dataset.attrs - else: - if not create_nes: - for attrname in self.netcdf.ncattrs(): - gl_attrs[attrname] = getattr(self.netcdf, attrname) + + if not create_nes: + for attrname in self.dataset.ncattrs(): + gl_attrs[attrname] = getattr(self.dataset, attrname) return gl_attrs @@ -2494,9 +2981,7 @@ # Writing # ================================================================================================================== -
-[docs] - def get_write_axis_limits(self): + def _get_write_axis_limits(self): """ Calculate the 4D writing axis limits depending on if them have to balanced or not. @@ -2508,14 +2993,11 @@ """ if self.balanced: - return self.get_write_axis_limits_balanced() + return self._get_write_axis_limits_balanced() else: - return self.get_write_axis_limits_unbalanced()
+ return self._get_write_axis_limits_unbalanced() - -
-[docs] - def get_write_axis_limits_unbalanced(self): + def _get_write_axis_limits_unbalanced(self): """ Calculate the 4D writing axis limits. @@ -2526,36 +3008,33 @@ t_min, t_max, z_min, z_max, y_min, y_max, x_min and x_max. """ - axis_limits = {'x_min': None, 'x_max': None, - 'y_min': None, 'y_max': None, - 'z_min': None, 'z_max': None, - 't_min': None, 't_max': None} - - if self.parallel_method == 'Y': - y_len = self._lat['data'].shape[0] - axis_limits['y_min'] = (y_len // self.size) * self.rank + axis_limits = {"x_min": None, "x_max": None, + "y_min": None, "y_max": None, + "z_min": None, "z_max": None, + "t_min": None, "t_max": None} + my_shape = self.get_full_shape() + if self.parallel_method == "Y": + y_len = my_shape[0] + axis_limits["y_min"] = (y_len // self.size) * self.rank if self.rank + 1 < self.size: - axis_limits['y_max'] = (y_len // self.size) * (self.rank + 1) - elif self.parallel_method == 'X': - x_len = self._lon['data'].shape[-1] - axis_limits['x_min'] = (x_len // self.size) * self.rank + axis_limits["y_max"] = (y_len // self.size) * (self.rank + 1) + elif self.parallel_method == "X": + x_len = my_shape[-1] + axis_limits["x_min"] = (x_len // self.size) * self.rank if self.rank + 1 < self.size: - axis_limits['x_max'] = (x_len // self.size) * (self.rank + 1) - elif self.parallel_method == 'T': - t_len = len(self._time) - axis_limits['t_min'] = ((t_len // self.size) * self.rank) + axis_limits["x_max"] = (x_len // self.size) * (self.rank + 1) + elif self.parallel_method == "T": + t_len = len(self.get_full_times()) + axis_limits["t_min"] = ((t_len // self.size) * self.rank) if self.rank + 1 < self.size: - axis_limits['t_max'] = (t_len // self.size) * (self.rank + 1) + axis_limits["t_max"] = (t_len // self.size) * (self.rank + 1) else: raise NotImplementedError("Parallel method '{meth}' is not implemented. Use one of these: {accept}".format( - meth=self.parallel_method, accept=['X', 'Y', 'T'])) + meth=self.parallel_method, accept=["X", "Y", "T"])) - return axis_limits
+ return axis_limits - -
-[docs] - def get_write_axis_limits_balanced(self): + def _get_write_axis_limits_balanced(self): """ Calculate the 4D reading balanced axis limits. @@ -2565,33 +3044,33 @@ Dictionary with the 4D limits of the rank data to read. t_min, t_max, z_min, z_max, y_min, y_max, x_min and x_max. """ - + my_shape = self.get_full_shape() fid_dist = {} - if self.parallel_method == 'Y': - len_to_split = self._lat['data'].shape[0] - min_axis = 'y_min' - max_axis = 'y_max' - elif self.parallel_method == 'X': - len_to_split = self._lon['data'].shape[-1] - min_axis = 'x_min' - max_axis = 'x_max' - elif self.parallel_method == 'T': - len_to_split = len(self._time) - min_axis = 't_min' - max_axis = 't_max' + if self.parallel_method == "Y": + len_to_split = my_shape[0] + min_axis = "y_min" + max_axis = "y_max" + elif self.parallel_method == "X": + len_to_split = my_shape[-1] + min_axis = "x_min" + max_axis = "x_max" + elif self.parallel_method == "T": + len_to_split = len(self.get_full_times()) + min_axis = "t_min" + max_axis = "t_max" else: raise NotImplementedError("Parallel method '{meth}' is not implemented. Use one of these: {accept}".format( - meth=self.parallel_method, accept=['X', 'Y', 'T'])) + meth=self.parallel_method, accept=["X", "Y", "T"])) procs_len = len_to_split // self.size procs_rows_extended = len_to_split - (procs_len * self.size) rows_sum = 0 for proc in range(self.size): - fid_dist[proc] = {'x_min': 0, 'x_max': None, - 'y_min': 0, 'y_max': None, - 'z_min': 0, 'z_max': None, - 't_min': 0, 't_max': None} + fid_dist[proc] = {"x_min": 0, "x_max": None, + "y_min": 0, "y_max": None, + "z_min": 0, "z_max": None, + "t_min": 0, "t_max": None} if proc < procs_rows_extended: aux_rows = procs_len + 1 else: @@ -2614,12 +3093,11 @@ axis_limits = fid_dist[self.rank] - return axis_limits
- + return axis_limits def _create_dimensions(self, netcdf): """ - Create 'time', 'time_bnds', 'lev', 'lon' and 'lat' dimensions. + Create "time", "time_bnds", "lev", "lon" and "lat" dimensions. Parameters ---------- @@ -2628,24 +3106,25 @@ """ # Create time dimension - netcdf.createDimension('time', None) + netcdf.createDimension("time", None) # Create time_nv (number of vertices) dimension - if self._time_bnds is not None: - netcdf.createDimension('time_nv', 2) + full_time_bnds = self.get_full_time_bnds() + if full_time_bnds is not None: + netcdf.createDimension("time_nv", 2) # Create lev, lon and lat dimensions - netcdf.createDimension('lev', len(self.lev['data'])) + netcdf.createDimension("lev", len(self.lev["data"])) # Create string length dimension if self.strlen is not None: - netcdf.createDimension('strlen', self.strlen) + netcdf.createDimension("strlen", self.strlen) return None def _create_dimension_variables(self, netcdf): """ - Create the 'time', 'time_bnds', 'lev', 'lat', 'lat_bnds', 'lon' and 'lon_bnds' variables. + Create the "time", "time_bnds", "lev", "lat", "lat_bnds", "lon" and "lon_bnds" variables. Parameters ---------- @@ -2659,7 +3138,7 @@ def _create_dimension_variables_32(self, netcdf): """ - Create the 'time', 'time_bnds', 'lev', 'lat', 'lat_bnds', 'lon' and 'lon_bnds' variables. + Create the "time", "time_bnds", "lev", "lat", "lat_bnds", "lon" and "lon_bnds" variables. Parameters ---------- @@ -2668,95 +3147,102 @@ """ # TIMES - time_var = netcdf.createVariable('time', np.float32, ('time',), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - time_var.units = '{0} since {1}'.format(self._time_resolution, self._time[0].strftime('%Y-%m-%d %H:%M:%S')) - time_var.standard_name = 'time' - time_var.calendar = 'standard' - time_var.long_name = 'time' - if self._time_bnds is not None: + full_time = self.get_full_times() + full_time_bnds = self.get_full_time_bnds() + time_var = netcdf.createVariable("time", float32, ("time",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) + time_var.units = "{0} since {1}".format(self._time_resolution, full_time[0].strftime("%Y-%m-%d %H:%M:%S")) + time_var.standard_name = "time" + time_var.calendar = "standard" + time_var.long_name = "time" + if full_time_bnds is not None: if self._climatology: time_var.climatology = self._climatology_var_name else: - time_var.bounds = 'time_bnds' + time_var.bounds = "time_bnds" if self.size > 1: time_var.set_collective(True) - time_var[:] = date2num(self._time[:], time_var.units, time_var.calendar) + time_var[:] = date2num(full_time[:], time_var.units, time_var.calendar) # TIME BOUNDS - if self._time_bnds is not None: + if full_time_bnds is not None: if self._climatology: - time_bnds_var = netcdf.createVariable(self._climatology_var_name, np.float64, ('time', 'time_nv',), + time_bnds_var = netcdf.createVariable(self._climatology_var_name, float64, ("time", "time_nv",), zlib=self.zip_lvl, complevel=self.zip_lvl) else: - time_bnds_var = netcdf.createVariable('time_bnds', np.float64, ('time', 'time_nv',), + time_bnds_var = netcdf.createVariable("time_bnds", float64, ("time", "time_nv",), zlib=self.zip_lvl, complevel=self.zip_lvl) if self.size > 1: time_bnds_var.set_collective(True) - time_bnds_var[:] = date2num(self._time_bnds, time_var.units, calendar='standard') + time_bnds_var[:] = date2num(full_time_bnds, time_var.units, calendar="standard") # LEVELS - lev = netcdf.createVariable('lev', np.float32, ('lev',), + full_lev = self.get_full_levels() + lev = netcdf.createVariable("lev", float32, ("lev",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - if 'units' in self._lev.keys(): - lev.units = Units(self._lev['units'], formatted=True).units + if "units" in full_lev.keys(): + lev.units = full_lev["units"] else: - lev.units = '' - if 'positive' in self._lev.keys(): - lev.positive = self._lev['positive'] + lev.units = "" + if "positive" in full_lev.keys(): + lev.positive = full_lev["positive"] if self.size > 1: lev.set_collective(True) - lev[:] = np.array(self._lev['data'], dtype=np.float32) + lev[:] = array(full_lev["data"], dtype=float32) # LATITUDES - lat = netcdf.createVariable('lat', np.float32, self._lat_dim, + full_lat = self.get_full_latitudes() + full_lat_bnds = self.get_full_latitudes_boundaries() + lat = netcdf.createVariable("lat", float32, self._lat_dim, zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - lat.units = 'degrees_north' - lat.axis = 'Y' - lat.long_name = 'latitude coordinate' - lat.standard_name = 'latitude' - if self._lat_bnds is not None: - lat.bounds = 'lat_bnds' + lat.units = "degrees_north" + lat.axis = "Y" + lat.long_name = "latitude coordinate" + lat.standard_name = "latitude" + if full_lat_bnds is not None: + lat.bounds = "lat_bnds" if self.size > 1: lat.set_collective(True) - lat[:] = np.array(self._lat['data'], dtype=np.float32) + lat[:] = array(full_lat["data"], dtype=float32) # LATITUDES BOUNDS - if self._lat_bnds is not None: - lat_bnds_var = netcdf.createVariable('lat_bnds', np.float32, - self._lat_dim + ('spatial_nv',), + if full_lat_bnds is not None: + lat_bnds_var = netcdf.createVariable("lat_bnds", float32, + self._lat_dim + ("spatial_nv",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) if self.size > 1: lat_bnds_var.set_collective(True) - lat_bnds_var[:] = np.array(self._lat_bnds['data'], dtype=np.float32) + lat_bnds_var[:] = array(full_lat_bnds["data"], dtype=float32) # LONGITUDES - lon = netcdf.createVariable('lon', np.float32, self._lon_dim, + full_lon = self.get_full_longitudes() + full_lon_bnds = self.get_full_longitudes_boundaries() + lon = netcdf.createVariable("lon", float32, self._lon_dim, zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - lon.units = 'degrees_east' - lon.axis = 'X' - lon.long_name = 'longitude coordinate' - lon.standard_name = 'longitude' - if self._lon_bnds is not None: - lon.bounds = 'lon_bnds' + lon.units = "degrees_east" + lon.axis = "X" + lon.long_name = "longitude coordinate" + lon.standard_name = "longitude" + if full_lon_bnds is not None: + lon.bounds = "lon_bnds" if self.size > 1: lon.set_collective(True) - lon[:] = np.array(self._lon['data'], dtype=np.float32) + lon[:] = array(full_lon["data"], dtype=float32) # LONGITUDES BOUNDS - if self._lon_bnds is not None: - lon_bnds_var = netcdf.createVariable('lon_bnds', np.float32, - self._lon_dim + ('spatial_nv',), + if full_lon_bnds is not None: + lon_bnds_var = netcdf.createVariable("lon_bnds", float32, + self._lon_dim + ("spatial_nv",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) if self.size > 1: lon_bnds_var.set_collective(True) - lon_bnds_var[:] = np.array(self._lon_bnds['data'], dtype=np.float32) + lon_bnds_var[:] = array(full_lon_bnds["data"], dtype=float32) return None def _create_dimension_variables_64(self, netcdf): """ - Create the 'time', 'time_bnds', 'lev', 'lat', 'lat_bnds', 'lon' and 'lon_bnds' variables. + Create the "time", "time_bnds", "lev", "lat", "lat_bnds", "lon" and "lon_bnds" variables. Parameters ---------- @@ -2765,122 +3251,126 @@ """ # TIMES - time_var = netcdf.createVariable('time', np.float64, ('time',), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - time_var.units = '{0} since {1}'.format(self._time_resolution, self._time[0].strftime('%Y-%m-%d %H:%M:%S')) - time_var.standard_name = 'time' - time_var.calendar = 'standard' - time_var.long_name = 'time' - if self._time_bnds is not None: + full_time = self.get_full_times() + full_time_bnds = self.get_full_time_bnds() + time_var = netcdf.createVariable("time", float64, ("time",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) + time_var.units = "{0} since {1}".format(self._time_resolution, full_time[0].strftime("%Y-%m-%d %H:%M:%S")) + time_var.standard_name = "time" + time_var.calendar = "standard" + time_var.long_name = "time" + if full_time_bnds is not None: if self._climatology: time_var.climatology = self._climatology_var_name else: - time_var.bounds = 'time_bnds' + time_var.bounds = "time_bnds" if self.size > 1: time_var.set_collective(True) - time_var[:] = date2num(self._time[:], time_var.units, time_var.calendar) + time_var[:] = date2num(full_time[:], time_var.units, time_var.calendar) # TIME BOUNDS - if self._time_bnds is not None: + if full_time_bnds is not None: if self._climatology: - time_bnds_var = netcdf.createVariable(self._climatology_var_name, np.float64, ('time', 'time_nv',), + time_bnds_var = netcdf.createVariable(self._climatology_var_name, float64, ("time", "time_nv",), zlib=self.zip_lvl, complevel=self.zip_lvl) else: - time_bnds_var = netcdf.createVariable('time_bnds', np.float64, ('time', 'time_nv',), + time_bnds_var = netcdf.createVariable("time_bnds", float64, ("time", "time_nv",), zlib=self.zip_lvl, complevel=self.zip_lvl) if self.size > 1: time_bnds_var.set_collective(True) - time_bnds_var[:] = date2num(self._time_bnds, time_var.units, calendar='standard') + time_bnds_var[:] = date2num(full_time_bnds, time_var.units, calendar="standard") # LEVELS - lev = netcdf.createVariable('lev', self._lev['data'].dtype, ('lev',), + full_lev = self.get_full_levels() + lev = netcdf.createVariable("lev", full_lev["data"].dtype, ("lev",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - if 'units' in self._lev.keys(): - lev.units = Units(self._lev['units'], formatted=True).units + if "units" in full_lev.keys(): + lev.units = full_lev["units"] else: - lev.units = '' - if 'positive' in self._lev.keys(): - lev.positive = self._lev['positive'] + lev.units = "" + if "positive" in full_lev.keys(): + lev.positive = full_lev["positive"] if self.size > 1: lev.set_collective(True) - lev[:] = self._lev['data'] + lev[:] = full_lev["data"] # LATITUDES - lat = netcdf.createVariable('lat', self._lat['data'].dtype, self._lat_dim, + full_lat = self.get_full_latitudes() + full_lat_bnds = self.get_full_latitudes_boundaries() + lat = netcdf.createVariable("lat", full_lat["data"].dtype, self._lat_dim, zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - lat.units = 'degrees_north' - lat.axis = 'Y' - lat.long_name = 'latitude coordinate' - lat.standard_name = 'latitude' - if self._lat_bnds is not None: - lat.bounds = 'lat_bnds' + lat.units = "degrees_north" + lat.axis = "Y" + lat.long_name = "latitude coordinate" + lat.standard_name = "latitude" + if full_lat_bnds is not None: + lat.bounds = "lat_bnds" if self.size > 1: lat.set_collective(True) - lat[:] = self._lat['data'] + lat[:] = full_lat["data"] # LATITUDES BOUNDS - if self._lat_bnds is not None: - lat_bnds_var = netcdf.createVariable('lat_bnds', self._lat_bnds['data'].dtype, - self._lat_dim + ('spatial_nv',), + if full_lat_bnds is not None: + lat_bnds_var = netcdf.createVariable("lat_bnds", full_lat_bnds["data"].dtype, + self._lat_dim + ("spatial_nv",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) if self.size > 1: lat_bnds_var.set_collective(True) - lat_bnds_var[:] = self._lat_bnds['data'] + lat_bnds_var[:] = full_lat_bnds["data"] # LONGITUDES - lon = netcdf.createVariable('lon', self._lon['data'].dtype, self._lon_dim, + full_lon = self.get_full_longitudes() + full_lon_bnds = self.get_full_longitudes_boundaries() + lon = netcdf.createVariable("lon", full_lon["data"].dtype, self._lon_dim, zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - lon.units = 'degrees_east' - lon.axis = 'X' - lon.long_name = 'longitude coordinate' - lon.standard_name = 'longitude' - if self._lon_bnds is not None: - lon.bounds = 'lon_bnds' + lon.units = "degrees_east" + lon.axis = "X" + lon.long_name = "longitude coordinate" + lon.standard_name = "longitude" + if full_lon_bnds is not None: + lon.bounds = "lon_bnds" if self.size > 1: lon.set_collective(True) - lon[:] = self._lon['data'] + lon[:] = full_lon["data"] # LONGITUDES BOUNDS - if self._lon_bnds is not None: - lon_bnds_var = netcdf.createVariable('lon_bnds', self._lon_bnds['data'].dtype, - self._lon_dim + ('spatial_nv',), + if full_lon_bnds is not None: + lon_bnds_var = netcdf.createVariable("lon_bnds", full_lon_bnds["data"].dtype, + self._lon_dim + ("spatial_nv",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) if self.size > 1: lon_bnds_var.set_collective(True) - lon_bnds_var[:] = self._lon_bnds['data'] + lon_bnds_var[:] = full_lon_bnds["data"] return None - def _create_cell_measures(self, netcdf): # CELL AREA - if 'cell_area' in self.cell_measures.keys(): - cell_area = netcdf.createVariable('cell_area', self.cell_measures['cell_area']['data'].dtype, self._var_dim, + if "cell_area" in self.cell_measures.keys(): + cell_area = netcdf.createVariable("cell_area", self.cell_measures["cell_area"]["data"].dtype, self._var_dim, zlib=self.zip_lvl > 0, complevel=self.zip_lvl) if self.size > 1: cell_area.set_collective(True) - cell_area[self.read_axis_limits['y_min']:self.read_axis_limits['y_max'], - self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] = \ - self.cell_measures['cell_area']['data'] + cell_area[self.read_axis_limits["y_min"]:self.read_axis_limits["y_max"], + self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] = \ + self.cell_measures["cell_area"]["data"] - cell_area.long_name = 'area of grid cell' - cell_area.standard_name = 'cell_area' - cell_area.units = 'm2' + cell_area.long_name = "area of grid cell" + cell_area.standard_name = "cell_area" + cell_area.units = "m2" for var_name in self.variables.keys(): - self.variables[var_name]['cell_measures'] = 'area: cell_area' + self.variables[var_name]["cell_measures"] = "area: cell_area" if self.info: print("Rank {0:03d}: Cell measures done".format(self.rank)) return None -
-[docs] - def str2char(self, data): + def _str2char(self, data): if self.strlen is None: - msg = 'String data could not be converted into chars while writing.' + msg = "String data could not be converted into chars while writing." msg += " Please, set the maximum string length (set_strlen) before writing." raise RuntimeError(msg) @@ -2891,11 +3381,10 @@ data = data.flatten() # Split strings into chars (S1) - data_aux = stringtochar(np.array([v.encode('ascii', 'ignore') for v in data]).astype('S' + str(self.strlen))) + data_aux = stringtochar(array([v.encode("ascii", "ignore") for v in data]).astype("S" + str(self.strlen))) data_aux = data_aux.reshape(data_new_shape) - return data_aux
- + return data_aux def _create_variables(self, netcdf, chunking=False): """ @@ -2910,49 +3399,49 @@ """ for i, (var_name, var_dict) in enumerate(self.variables.items()): - if isinstance(var_dict['data'], int) and var_dict['data'] == 0: - var_dims = ('time', 'lev',) + self._var_dim - var_dtype = np.float32 + if isinstance(var_dict["data"], int) and var_dict["data"] == 0: + var_dims = ("time", "lev",) + self._var_dim + var_dtype = float32 else: # Get dimensions - if (var_dict['data'] is None) or (len(var_dict['data'].shape) == 4): - var_dims = ('time', 'lev',) + self._var_dim + if (var_dict["data"] is None) or (len(var_dict["data"].shape) == 4): + var_dims = ("time", "lev",) + self._var_dim else: var_dims = self._var_dim # Get data type - if 'dtype' in var_dict.keys(): - var_dtype = var_dict['dtype'] - if (var_dict['data'] is not None) and (var_dtype != var_dict['data'].dtype): + if "dtype" in var_dict.keys(): + var_dtype = var_dict["dtype"] + if (var_dict["data"] is not None) and (var_dtype != var_dict["data"].dtype): msg = "WARNING!!! " msg += "Different data types for variable {0}. ".format(var_name) - msg += "Input dtype={0}. Data dtype={1}.".format(var_dtype, var_dict['data'].dtype) - warnings.warn(msg) + msg += "Input dtype={0}. Data dtype={1}.".format(var_dtype, var_dict["data"].dtype) + warn(msg) sys.stderr.flush() try: - var_dict['data'] = var_dict['data'].astype(var_dtype) + var_dict["data"] = var_dict["data"].astype(var_dtype) except Exception as e: # TODO: Detect exception print(e) raise TypeError("It was not possible to cast the data to the input dtype.") else: - var_dtype = var_dict['data'].dtype - if var_dtype is np.object: - raise TypeError("Data dtype is np.object. Define dtype explicitly as dictionary key 'dtype'") + var_dtype = var_dict["data"].dtype + if var_dtype is object: + raise TypeError("Data dtype is object. Define dtype explicitly as dictionary key 'dtype'") - if var_dict['data'] is not None: + if var_dict["data"] is not None: # Ensure data is of type numpy array (to create NES) - if not isinstance(var_dict['data'], (np.ndarray, np.generic)): + if not isinstance(var_dict["data"], (ndarray, generic)): try: - var_dict['data'] = np.array(var_dict['data']) + var_dict["data"] = array(var_dict["data"]) except AttributeError: raise AttributeError("Data for variable {0} must be a numpy array.".format(var_name)) # Convert list of strings to chars for parallelization - if np.issubdtype(var_dtype, np.character): - var_dict['data_aux'] = self.str2char(var_dict['data']) - var_dims += ('strlen',) - var_dtype = 'S1' + if issubdtype(var_dtype, character): + var_dict["data_aux"] = self._str2char(var_dict["data"]) + var_dims += ("strlen",) + var_dtype = "S1" if self.info: print("Rank {0:03d}: Writing {1} var ({2}/{3})".format( @@ -2965,7 +3454,7 @@ if self.balanced: raise NotImplementedError("A balanced data cannot be chunked.") if self.master: - chunk_size = var_dict['data'].shape + chunk_size = var_dict["data"].shape else: chunk_size = None chunk_size = self.comm.bcast(chunk_size, root=0) @@ -2982,51 +3471,51 @@ self.rank, var_name, i + 1, len(self.variables))) for att_name, att_value in var_dict.items(): - if att_name == 'data': + if att_name == "data": if att_value is not None: if self.info: - print("Rank {0:03d}: Filling {1})".format(self.rank, var_name)) - if 'data_aux' in var_dict.keys(): - att_value = var_dict['data_aux'] + print("Rank {0:03d}: Filling {1}".format(self.rank, var_name)) + if "data_aux" in var_dict.keys(): + att_value = var_dict["data_aux"] if isinstance(att_value, int) and att_value == 0: - var[self.write_axis_limits['t_min']:self.write_axis_limits['t_max'], - self.write_axis_limits['z_min']:self.write_axis_limits['z_max'], - self.write_axis_limits['y_min']:self.write_axis_limits['y_max'], - self.write_axis_limits['x_min']:self.write_axis_limits['x_max']] = 0 + var[self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], + self.write_axis_limits["z_min"]:self.write_axis_limits["z_max"], + self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"], + self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]] = 0 elif len(att_value.shape) == 5: - if 'strlen' in var_dims: - var[self.write_axis_limits['t_min']:self.write_axis_limits['t_max'], - self.write_axis_limits['z_min']:self.write_axis_limits['z_max'], - self.write_axis_limits['y_min']:self.write_axis_limits['y_max'], - self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], + if "strlen" in var_dims: + var[self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], + self.write_axis_limits["z_min"]:self.write_axis_limits["z_max"], + self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"], + self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :] = att_value else: - raise NotImplementedError('It is not possible to write 5D variables.') + raise NotImplementedError("It is not possible to write 5D variables.") elif len(att_value.shape) == 4: - var[self.write_axis_limits['t_min']:self.write_axis_limits['t_max'], - self.write_axis_limits['z_min']:self.write_axis_limits['z_max'], - self.write_axis_limits['y_min']:self.write_axis_limits['y_max'], - self.write_axis_limits['x_min']:self.write_axis_limits['x_max']] = att_value + var[self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], + self.write_axis_limits["z_min"]:self.write_axis_limits["z_max"], + self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"], + self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]] = att_value elif len(att_value.shape) == 3: - if 'strlen' in var_dims: - var[self.write_axis_limits['y_min']:self.write_axis_limits['y_max'], - self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], + if "strlen" in var_dims: + var[self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"], + self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :] = att_value else: - raise NotImplementedError('It is not possible to write 3D variables.') + raise NotImplementedError("It is not possible to write 3D variables.") if self.info: print("Rank {0:03d}: Var {1} data ({2}/{3})".format( self.rank, var_name, i + 1, len(self.variables))) - elif att_name not in ['chunk_size', 'var_dims', 'dimensions', 'dtype', 'data_aux']: + elif att_name not in ["chunk_size", "var_dims", "dimensions", "dtype", "data_aux"]: var.setncattr(att_name, att_value) - if 'data_aux' in var_dict.keys(): - del var_dict['data_aux'] + if "data_aux" in var_dict.keys(): + del var_dict["data_aux"] self._set_var_crs(var) if self.info: @@ -3037,7 +3526,7 @@
[docs] - def append_time_step_data(self, i_time, out_format='DEFAULT'): + def append_time_step_data(self, i_time, out_format="DEFAULT"): """ Fill the netCDF data for the indicated index time. @@ -3059,33 +3548,33 @@ self.serial_nc.append_time_step_data(i_time, out_format=out_format) self.comm.Barrier() else: - if out_format == 'MONARCH': + if out_format == "MONARCH": self.variables = to_monarch_units(self) - elif out_format == 'CMAQ': + elif out_format == "CMAQ": self.variables = to_cmaq_units(self) - elif out_format == 'WRF_CHEM': + elif out_format == "WRF_CHEM": self.variables = to_wrf_chem_units(self) for i, (var_name, var_dict) in enumerate(self.variables.items()): for att_name, att_value in var_dict.items(): - if att_name == 'data': + if att_name == "data": if att_value is not None: if self.info: - print("Rank {0:03d}: Filling {1})".format(self.rank, var_name)) - var = self.netcdf.variables[var_name] + print("Rank {0:03d}: Filling {1}".format(self.rank, var_name)) + var = self.dataset.variables[var_name] if isinstance(att_value, int) and att_value == 0: var[i_time, - self.write_axis_limits['z_min']:self.write_axis_limits['z_max'], - self.write_axis_limits['y_min']:self.write_axis_limits['y_max'], - self.write_axis_limits['x_min']:self.write_axis_limits['x_max']] = 0 + self.write_axis_limits["z_min"]:self.write_axis_limits["z_max"], + self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"], + self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]] = 0 elif len(att_value.shape) == 4: var[i_time, - self.write_axis_limits['z_min']:self.write_axis_limits['z_max'], - self.write_axis_limits['y_min']:self.write_axis_limits['y_max'], - self.write_axis_limits['x_min']:self.write_axis_limits['x_max']] = att_value + self.write_axis_limits["z_min"]:self.write_axis_limits["z_max"], + self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"], + self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]] = att_value elif len(att_value.shape) == 3: - raise NotImplementedError('It is not possible to write 3D variables.') + raise NotImplementedError("It is not possible to write 3D variables.") else: raise NotImplementedError("SHAPE APPEND ERROR: {0}".format(att_value.shape)) if self.info: @@ -3154,9 +3643,9 @@ if self.info: print("Rank {0:03d}: Creating {1}".format(self.rank, path)) if self.size > 1: - netcdf = Dataset(path, format="NETCDF4", mode='w', parallel=True, comm=self.comm, info=MPI.Info()) + netcdf = Dataset(path, format="NETCDF4", mode="w", parallel=True, comm=self.comm, info=MPI.Info()) else: - netcdf = Dataset(path, format="NETCDF4", mode='w', parallel=False) + netcdf = Dataset(path, format="NETCDF4", mode="w", parallel=False) if self.info: print("Rank {0:03d}: NetCDF ready to write".format(self.rank)) @@ -3181,10 +3670,10 @@ if self.global_attrs is not None: for att_name, att_value in self.global_attrs.items(): netcdf.setncattr(att_name, att_value) - netcdf.setncattr('Conventions', 'CF-1.7') + netcdf.setncattr("Conventions", "CF-1.7") if keep_open: - self.netcdf = netcdf + self.dataset = netcdf else: netcdf.close() @@ -3193,10 +3682,9 @@ def __to_netcdf_cams_ra(self, path): return to_netcdf_cams_ra(self, path) -
[docs] - def to_netcdf(self, path, compression_level=0, serial=False, info=False, chunking=False, type='NES', + def to_netcdf(self, path, compression_level=0, serial=False, info=False, chunking=False, nc_type="NES", keep_open=False): """ Write the netCDF output file. @@ -3213,66 +3701,64 @@ Indicates if you want to print the information of each writing step by stdout Default: False. chunking : bool Indicates if you want a chunked netCDF output. Only available with non-serial writes. Default: False. - type : str - Type to NetCDf to write. 'CAMS_RA' or 'NES' + nc_type : str + Type to NetCDf to write. "CAMS_RA" or "NES" keep_open : bool Indicates if you want to keep open the NetCDH to fill the data by time-step """ - nc_type = type + nc_type = nc_type old_info = self.info self.info = info self.serial_nc = None self.zip_lvl = compression_level - if self.is_xarray: - raise NotImplementedError("Writing with xarray not implemented") - else: - # if serial: - if serial and self.size > 1: - try: - data = self._gather_data(self.variables) - except KeyError: - data = self.__gather_data_py_object(self.variables) - try: - c_measures = self._gather_data(self.cell_measures) - except KeyError: - c_measures = self.__gather_data_py_object(self.cell_measures) - if self.master: - new_nc = self.copy(copy_vars=False) - new_nc.set_communicator(MPI.COMM_SELF) - new_nc.variables = data - new_nc.cell_measures = c_measures - if type in ['NES', 'DEFAULT']: - new_nc.__to_netcdf_py(path, keep_open=keep_open) - elif type == 'CAMS_RA': - new_nc.__to_netcdf_cams_ra(path) - elif type == 'MONARCH': - to_netcdf_monarch(new_nc, path, chunking=chunking, keep_open=keep_open) - elif type == 'CMAQ': - to_netcdf_cmaq(new_nc, path, keep_open=keep_open) - elif type == 'WRF_CHEM': - to_netcdf_wrf_chem(new_nc, path, keep_open=keep_open) - else: - msg = "Unknown NetCDF type '{0}'. ".format(nc_type) - msg += "Use CAMS_RA, MONARCH or NES (or DEFAULT)" - raise ValueError(msg) - self.serial_nc = new_nc - else: - self.serial_nc = True - else: - if type in ['NES', 'DEFAULT']: - self.__to_netcdf_py(path, chunking=chunking, keep_open=keep_open) - elif nc_type == 'CAMS_RA': - self.__to_netcdf_cams_ra(path) - elif nc_type == 'MONARCH': - to_netcdf_monarch(self, path, chunking=chunking, keep_open=keep_open) - elif nc_type == 'CMAQ': - to_netcdf_cmaq(self, path, keep_open=keep_open) - elif nc_type == 'WRF_CHEM': - to_netcdf_wrf_chem(self, path, keep_open=keep_open) + + # if serial: + if serial and self.size > 1: + try: + data = self._gather_data(self.variables) + except KeyError: + data = self.__gather_data_py_object(self.variables) + try: + c_measures = self._gather_data(self.cell_measures) + except KeyError: + c_measures = self.__gather_data_py_object(self.cell_measures) + if self.master: + new_nc = self.copy(copy_vars=False) + new_nc.set_communicator(MPI.COMM_SELF) + new_nc.variables = data + new_nc.cell_measures = c_measures + if nc_type in ["NES", "DEFAULT"]: + new_nc.__to_netcdf_py(path, keep_open=keep_open) + elif nc_type == "CAMS_RA": + new_nc.__to_netcdf_cams_ra(path) + elif nc_type == "MONARCH": + to_netcdf_monarch(new_nc, path, chunking=chunking, keep_open=keep_open) + elif nc_type == "CMAQ": + to_netcdf_cmaq(new_nc, path, keep_open=keep_open) + elif nc_type == "WRF_CHEM": + to_netcdf_wrf_chem(new_nc, path, keep_open=keep_open) else: - msg = "Unknown NetCDF type '{0}'. ".format(nc_type) + msg = f"Unknown NetCDF type '{nc_type}'. " msg += "Use CAMS_RA, MONARCH or NES (or DEFAULT)" raise ValueError(msg) + self.serial_nc = new_nc + else: + self.serial_nc = True + else: + if nc_type in ["NES", "DEFAULT"]: + self.__to_netcdf_py(path, chunking=chunking, keep_open=keep_open) + elif nc_type == "CAMS_RA": + self.__to_netcdf_cams_ra(path) + elif nc_type == "MONARCH": + to_netcdf_monarch(self, path, chunking=chunking, keep_open=keep_open) + elif nc_type == "CMAQ": + to_netcdf_cmaq(self, path, keep_open=keep_open) + elif nc_type == "WRF_CHEM": + to_netcdf_wrf_chem(self, path, keep_open=keep_open) + else: + msg = f"Unknown NetCDF type '{nc_type}''. " + msg += "Use CAMS_RA, MONARCH or NES (or DEFAULT)" + raise ValueError(msg) self.info = old_info @@ -3307,16 +3793,16 @@ from eccodes import codes_write from eccodes import codes_release - fout = open(path, 'wb') + fout = open(path, "wb") # read template - fin = open(grib_template_path, 'rb') + fin = open(grib_template_path, "rb") gid = codes_grib_new_from_file(fin) if gid is None: sys.exit(1) - iterid = codes_keys_iterator_new(gid, 'ls') + iterid = codes_keys_iterator_new(gid, "ls") while codes_keys_iterator_next(iterid): keyname = codes_keys_iterator_get_name(iterid) keyval = codes_get_string(gid, keyname) @@ -3326,49 +3812,48 @@ codes_keys_iterator_delete(iterid) for var_name, var_info in self.variables.items(): for i_time, time in enumerate(self.time): - for i_lev, lev in enumerate(self.lev['data']): + for i_lev, lev in enumerate(self.lev["data"]): clone_id = codes_clone(gid) # Adding grib2 keys to file for key, value in grib_keys.items(): - if value not in ['', 'None', None]: + if value not in ["", "None", None, nan]: try: codes_set(clone_id, key, value) except Exception as e: - print("Something went wrong while writing the Grib key '{0}': {1}".format(key, value)) + print(f"Something went wrong while writing the Grib key '{key}': {value}") raise e # Time dependent keys - if 'dataTime' in grib_keys.keys() and grib_keys['dataTime'] in ['', 'None', None]: - codes_set(clone_id, 'dataTime', int(i_time * 100)) - if 'stepRange' in grib_keys.keys() and grib_keys['stepRange'] in ['', 'None', None]: - n_secs = (time - self._time[0]).total_seconds() - codes_set(clone_id, 'stepRange', int(n_secs // 3600)) - if 'forecastTime' in grib_keys.keys() and grib_keys['forecastTime'] in ['', 'None', None]: - n_secs = (time - self._time[0]).total_seconds() - codes_set(clone_id, 'forecastTime', int(n_secs)) + if "dataTime" in grib_keys.keys() and grib_keys["dataTime"] in ["", "None", None, nan]: + codes_set(clone_id, "dataTime", int(i_time * 100)) + if "stepRange" in grib_keys.keys() and grib_keys["stepRange"] in ["", "None", None, nan]: + n_secs = (time - self.get_full_times()[0]).total_seconds() + codes_set(clone_id, "stepRange", int(n_secs // 3600)) + if "forecastTime" in grib_keys.keys() and grib_keys["forecastTime"] in ["", "None", None, nan]: + n_secs = (time - self.get_full_times()[0]).total_seconds() + codes_set(clone_id, "forecastTime", int(n_secs)) # Level dependent keys - if 'typeOfFirstFixedSurface' in grib_keys.keys() and \ - grib_keys['typeOfFirstFixedSurface'] in ['', 'None', None]: + if "typeOfFirstFixedSurface" in grib_keys.keys() and \ + grib_keys["typeOfFirstFixedSurface"] in ["", "None", None, nan]: if float(lev) == 0: - codes_set(clone_id, 'typeOfFirstFixedSurface', 1) - # grib_keys['typeOfFirstFixedSurface'] = 1 + codes_set(clone_id, "typeOfFirstFixedSurface", 1) + # grib_keys["typeOfFirstFixedSurface"] = 1 else: - codes_set(clone_id, 'typeOfFirstFixedSurface', 103) - # grib_keys['typeOfFirstFixedSurface'] = 103 - if 'level' in grib_keys.keys() and grib_keys['level'] in ['', 'None', None]: - codes_set(clone_id, 'level', float(lev)) + codes_set(clone_id, "typeOfFirstFixedSurface", 103) + # grib_keys["typeOfFirstFixedSurface"] = 103 + if "level" in grib_keys.keys() and grib_keys["level"] in ["", "None", None, nan]: + codes_set(clone_id, "level", float(lev)) - newval = var_info['data'][i_time, i_lev, :, :] + newval = var_info["data"][i_time, i_lev, :, :] if lat_flip: - newval = np.flipud(newval) + newval = flipud(newval) # TODO Check default NaN Value - newval[np.isnan(newval)] = 0. + newval[isnan(newval)] = 0. - codes_set_values(clone_id, np.array(newval.ravel(), dtype='float64')) - # codes_set_values(clone_id, newval.ravel()) + codes_set_values(clone_id, array(newval.ravel(), dtype="float64")) codes_write(clone_id, fout) del newval codes_release(gid) @@ -3398,7 +3883,7 @@ """ # if serial: - if self.parallel_method in ['X', 'Y'] and self.size > 1: + if self.parallel_method in ["X", "Y"] and self.size > 1: try: data = self._gather_data(self.variables) except KeyError: @@ -3423,7 +3908,7 @@ [docs] def create_shapefile(self): """ - Create spatial geodataframe (shapefile). + Create spatial GeoDataFrame (shapefile). Returns ------- @@ -3433,25 +3918,25 @@ if self.shapefile is None: - if self._lat_bnds is None or self._lon_bnds is None: + if self.lat_bnds is None or self.lon_bnds is None: self.create_spatial_bounds() # Reshape arrays to create geometry - aux_shape = (self.lat_bnds['data'].shape[0], self.lon_bnds['data'].shape[0], 4) - lon_bnds_aux = np.empty(aux_shape) - lon_bnds_aux[:, :, 0] = self.lon_bnds['data'][np.newaxis, :, 0] - lon_bnds_aux[:, :, 1] = self.lon_bnds['data'][np.newaxis, :, 1] - lon_bnds_aux[:, :, 2] = self.lon_bnds['data'][np.newaxis, :, 1] - lon_bnds_aux[:, :, 3] = self.lon_bnds['data'][np.newaxis, :, 0] + aux_shape = (self.lat_bnds["data"].shape[0], self.lon_bnds["data"].shape[0], 4) + lon_bnds_aux = empty(aux_shape) + lon_bnds_aux[:, :, 0] = self.lon_bnds["data"][newaxis, :, 0] + lon_bnds_aux[:, :, 1] = self.lon_bnds["data"][newaxis, :, 1] + lon_bnds_aux[:, :, 2] = self.lon_bnds["data"][newaxis, :, 1] + lon_bnds_aux[:, :, 3] = self.lon_bnds["data"][newaxis, :, 0] lon_bnds = lon_bnds_aux del lon_bnds_aux - lat_bnds_aux = np.empty(aux_shape) - lat_bnds_aux[:, :, 0] = self.lat_bnds['data'][:, np.newaxis, 0] - lat_bnds_aux[:, :, 1] = self.lat_bnds['data'][:, np.newaxis, 0] - lat_bnds_aux[:, :, 2] = self.lat_bnds['data'][:, np.newaxis, 1] - lat_bnds_aux[:, :, 3] = self.lat_bnds['data'][:, np.newaxis, 1] + lat_bnds_aux = empty(aux_shape) + lat_bnds_aux[:, :, 0] = self.lat_bnds["data"][:, newaxis, 0] + lat_bnds_aux[:, :, 1] = self.lat_bnds["data"][:, newaxis, 0] + lat_bnds_aux[:, :, 2] = self.lat_bnds["data"][:, newaxis, 1] + lat_bnds_aux[:, :, 3] = self.lat_bnds["data"][:, newaxis, 1] lat_bnds = lat_bnds_aux del lat_bnds_aux @@ -3467,13 +3952,9 @@ (aux_b_lons[i, 2], aux_b_lats[i, 2]), (aux_b_lons[i, 3], aux_b_lats[i, 3]), (aux_b_lons[i, 0], aux_b_lats[i, 0])])) - fids = np.arange(len(self._lat['data']) * len(self._lon['data'])) - fids = fids.reshape((len(self._lat['data']), len(self._lon['data']))) - fids = fids[self.read_axis_limits['y_min']:self.read_axis_limits['y_max'], - self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] - gdf = gpd.GeoDataFrame(index=pd.Index(name='FID', data=fids.ravel()), - geometry=geometry, - crs="EPSG:4326") + + fids = self.get_fids() + gdf = GeoDataFrame(index=Index(name="FID", data=fids.ravel()), geometry=geometry, crs="EPSG:4326") self.shapefile = gdf else: @@ -3486,7 +3967,7 @@ [docs] def write_shapefile(self, path): """ - Save spatial geodataframe (shapefile). + Save spatial GeoDataFrame (shapefile). Parameters ---------- @@ -3495,7 +3976,7 @@ """ if self.shapefile is None: - raise ValueError('Shapefile was not created.') + raise ValueError("Shapefile was not created.") if self.size == 1: # In serial, avoid gather @@ -3504,7 +3985,7 @@ # In parallel data = self.comm.gather(self.shapefile, root=0) if self.master: - data = pd.concat(data) + data = concat(data) data.to_file(path) return None
@@ -3524,7 +4005,7 @@ ---------- path : str Path to the output file. - time : datetime.datetime + time : datetime Time stamp to select. lev : int Vertical level to select. @@ -3542,32 +4023,32 @@ # Add warning for unloaded variables unloaded_vars = [] for var_name in var_list: - if self.variables[var_name]['data'] is None: + if self.variables[var_name]["data"] is None: unloaded_vars.append(var_name) if len(unloaded_vars) > 0: - raise ValueError('The variables {0} need to be loaded/created before using to_shapefile.'.format( + raise ValueError("The variables {0} need to be loaded/created before using to_shapefile.".format( unloaded_vars)) # Select first vertical level (if needed) if lev is None: - msg = 'No vertical level has been specified. The first one will be selected.' - warnings.warn(msg) + msg = "No vertical level has been specified. The first one will be selected." + warn(msg) sys.stderr.flush() idx_lev = 0 else: - if lev not in self.lev['data']: - raise ValueError('Level {} is not available. Choose from {}'.format(lev, self.lev['data'])) + if lev not in self.lev["data"]: + raise ValueError("Level {} is not available. Choose from {}".format(lev, self.lev["data"])) idx_lev = lev # Select first time (if needed) if time is None: - msg = 'No time has been specified. The first one will be selected.' - warnings.warn(msg) + msg = "No time has been specified. The first one will be selected." + warn(msg) sys.stderr.flush() idx_time = 0 else: if time not in self.time: - raise ValueError('Time {} is not available. Choose from {}'.format(time, self.time)) + raise ValueError("Time {} is not available. Choose from {}".format(time, self.time)) idx_time = self.time.index(time) # Create shapefile @@ -3597,7 +4078,7 @@ """ for var_name in var_list: - self.shapefile[var_name] = self.variables[var_name]['data'][idx_time, idx_lev, :].ravel() + self.shapefile[var_name] = self.variables[var_name]["data"][idx_time, idx_lev, :].ravel() return None
@@ -3616,19 +4097,14 @@ # Get centroids from coordinates centroids = [] - for lat_ind in range(0, len(self.lat['data'])): - for lon_ind in range(0, len(self.lon['data'])): - centroids.append(Point(self.lon['data'][lon_ind], - self.lat['data'][lat_ind])) + for lat_ind in range(0, len(self.lat["data"])): + for lon_ind in range(0, len(self.lon["data"])): + centroids.append(Point(self.lon["data"][lon_ind], + self.lat["data"][lat_ind])) - # Create dataframe cointaining all points - fids = np.arange(len(self._lat['data']) * len(self._lon['data'])) - fids = fids.reshape((len(self._lat['data']), len(self._lon['data']))) - fids = fids[self.read_axis_limits['y_min']:self.read_axis_limits['y_max'], - self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] - centroids_gdf = gpd.GeoDataFrame(index=pd.Index(name='FID', data=fids.ravel()), - geometry=centroids, - crs="EPSG:4326") + # Create dataframe containing all points + fids = self.get_fids() + centroids_gdf = GeoDataFrame(index=Index(name="FID", data=fids.ravel()), geometry=centroids, crs="EPSG:4326") return centroids_gdf @@ -3647,11 +4123,11 @@ for var_name in data_list.keys(): try: # noinspection PyArgumentList - data_aux = self.comm.gather(data_list[var_name]['data'], root=0) + data_aux = self.comm.gather(data_list[var_name]["data"], root=0) if self.rank == 0: - shp_len = len(data_list[var_name]['data'].shape) + shp_len = len(data_list[var_name]["data"].shape) add_dimension = False # to Add a dimension - if self.parallel_method == 'Y': + if self.parallel_method == "Y": if shp_len == 2: # if is a 2D concatenate over first axis axis = 0 @@ -3661,7 +4137,7 @@ else: # if is a 4D concatenate over third axis axis = 2 - elif self.parallel_method == 'X': + elif self.parallel_method == "X": if shp_len == 2: # if is a 2D concatenate over second axis axis = 1 @@ -3671,7 +4147,7 @@ else: # if is a 4D concatenate over forth axis axis = 3 - elif self.parallel_method == 'T': + elif self.parallel_method == "T": if shp_len == 2: # if is a 2D add dimension add_dimension = True @@ -3685,21 +4161,19 @@ else: raise NotImplementedError( "Parallel method '{meth}' is not implemented. Use one of these: {accept}".format( - meth=self.parallel_method, accept=['X', 'Y', 'T'])) + meth=self.parallel_method, accept=["X", "Y", "T"])) if add_dimension: - data_list[var_name]['data'] = np.stack(data_aux) + data_list[var_name]["data"] = stack(data_aux) else: - data_list[var_name]['data'] = np.concatenate(data_aux, axis=axis) + data_list[var_name]["data"] = concatenate(data_aux, axis=axis) except Exception as e: - print("**ERROR** an error has occurred while gathering the '{0}' variable.\n".format(var_name)) - sys.stderr.write("**ERROR** an error has occurred while gathering the '{0}' variable.\n".format( - var_name)) + msg = f"**ERROR** an error has occurred while gathering the '{var_name}' variable.\n" + print(msg) + sys.stderr.write(msg) print(e) sys.stderr.write(str(e)) - # print(e, file=sys.stderr) sys.stderr.flush() self.comm.Abort(1) - raise e return data_list @@ -3717,32 +4191,31 @@ for var_name in data_list.keys(): if self.info and self.master: print("Gathering {0}".format(var_name)) - if data_list[var_name]['data'] is None: - data_list[var_name]['data'] = None - elif isinstance(data_list[var_name]['data'], int) and data_list[var_name]['data'] == 0: - data_list[var_name]['data'] = 0 + if data_list[var_name]["data"] is None: + data_list[var_name]["data"] = None + elif isinstance(data_list[var_name]["data"], int) and data_list[var_name]["data"] == 0: + data_list[var_name]["data"] = 0 else: - shp_len = len(data_list[var_name]['data'].shape) + shp_len = len(data_list[var_name]["data"].shape) # Collect local array sizes using the gather communication pattern - rank_shapes = np.array(self.comm.gather(data_list[var_name]['data'].shape, root=0)) - sendbuf = data_list[var_name]['data'].flatten() - sendcounts = np.array(self.comm.gather(len(sendbuf), root=0)) + rank_shapes = array(self.comm.gather(data_list[var_name]["data"].shape, root=0)) + sendbuf = data_list[var_name]["data"].flatten() + sendcounts = array(self.comm.gather(len(sendbuf), root=0)) if self.master: - # recvbuf = np.empty(sum(sendcounts), dtype=type(sendbuf[0])) - recvbuf = np.empty(sum(sendcounts), dtype=type(sendbuf.max())) + recvbuf = empty(sum(sendcounts), dtype=type(sendbuf.max())) else: recvbuf = None self.comm.Gatherv(sendbuf=sendbuf, recvbuf=(recvbuf, sendcounts), root=0) if self.master: - recvbuf = np.split(recvbuf, np.cumsum(sendcounts)) + recvbuf = split(recvbuf, cumsum(sendcounts)) # TODO ask - # I don't understand why it is giving one more split + # I don"t understand why it is giving one more split if len(recvbuf) > len(sendcounts): recvbuf = recvbuf[:-1] for i, shape in enumerate(rank_shapes): recvbuf[i] = recvbuf[i].reshape(shape) add_dimension = False # to Add a dimension - if self.parallel_method == 'Y': + if self.parallel_method == "Y": if shp_len == 2: # if is a 2D concatenate over first axis axis = 0 @@ -3752,7 +4225,7 @@ else: # if is a 4D concatenate over third axis axis = 2 - elif self.parallel_method == 'X': + elif self.parallel_method == "X": if shp_len == 2: # if is a 2D concatenate over second axis axis = 1 @@ -3762,7 +4235,7 @@ else: # if is a 4D concatenate over forth axis axis = 3 - elif self.parallel_method == 'T': + elif self.parallel_method == "T": if shp_len == 2: # if is a 2D add dimension add_dimension = True @@ -3776,11 +4249,11 @@ else: raise NotImplementedError( "Parallel method '{meth}' is not implemented. Use one of these: {accept}".format( - meth=self.parallel_method, accept=['X', 'Y', 'T'])) + meth=self.parallel_method, accept=["X", "Y", "T"])) if add_dimension: - data_list[var_name]['data'] = np.stack(recvbuf) + data_list[var_name]["data"] = stack(recvbuf) else: - data_list[var_name]['data'] = np.concatenate(recvbuf, axis=axis) + data_list[var_name]["data"] = concatenate(recvbuf, axis=axis) return data_list @@ -3794,27 +4267,29 @@ """ # Convert observational/model geographic longitude/latitude coordinates to cartesian ECEF (Earth Centred, # Earth Fixed) coordinates, assuming WGS84 datum and ellipsoid, and that all heights = 0. - # ECEF coordiantes represent positions (in meters) as X, Y, Z coordinates, approximating the earth surface + # ECEF coordinates represent positions (in meters) as X, Y, Z coordinates, approximating the earth surface # as an ellipsoid of revolution. - # This conversion is for the subsequent calculation of euclidean distances of the model gridcell centres + # This conversion is for the subsequent calculation of Euclidean distances of the model grid cell centres # from each observational station. - # Defining the distance between two points on the earth's surface as simply the euclidean distance + # Defining the distance between two points on the earth's surface as simply the Euclidean distance # between the two lat/lon pairs could lead to inaccurate results depending on the distance # between two points (i.e. 1 deg. of longitude varies with latitude). Parameters ---------- - lon : np.array + lon : array Longitude values. - lat : np.array + lat : array Latitude values. """ - lla = pyproj.Proj(proj='latlong', ellps='WGS84', datum='WGS84') - ecef = pyproj.Proj(proj='geocent', ellps='WGS84', datum='WGS84') - x, y, z = pyproj.transform(lla, ecef, lon, lat, np.zeros(lon.shape), radians=False) - - return np.column_stack([x, y, z]) + lla = Proj(proj="latlong", ellps="WGS84", datum="WGS84") + ecef = Proj(proj="geocent", ellps="WGS84", datum="WGS84") + # x, y, z = pyproj.transform(lla, ecef, lon, lat, zeros(lon.shape), radians=False) + # Deprecated: https://pyproj4.github.io/pyproj/stable/gotchas.html#upgrading-to-pyproj-2-from-pyproj-1 + transformer = Transformer.from_proj(lla, ecef) + x, y, z = transformer.transform(lon, lat, zeros(lon.shape), radians=False) + return column_stack([x, y, z])
@@ -3835,7 +4310,7 @@
[docs] - def interpolate_vertical(self, new_levels, new_src_vertical=None, kind='linear', extrapolate=None, info=None, + def interpolate_vertical(self, new_levels, new_src_vertical=None, kind="linear", extrapolate=None, info=None, overwrite=False): """ Vertical interpolation function. @@ -3845,14 +4320,33 @@ self : Nes Source Nes object. new_levels : List - New vertical levels. + A List of new vertical levels. new_src_vertical : nes.Nes, str Nes object with the vertical information as variable or str with the path to the NetCDF file that contains the vertical data. kind : str Vertical methods type. - extrapolate : None, tuple, str - Extrapolate method (for non linear operations). + extrapolate : bool or tuple or None or number or NaN + If bool: + - If True, both extrapolation options are set to "extrapolate". + - If False, extrapolation options are set to ("bottom", "top"). + If tuple: + - The first element represents the extrapolation option for the lower bound. + - The second element represents the extrapolation option for the upper bound. + - If any element is bool: + - If True, it represents "extrapolate". + - If False: + - If it"s the first element, it represents "bottom". + - If it"s the second element, it represents "top". + - If any element is None, it is replaced with numpy.nan. + - Other numeric values are kept as they are. + - If any element is NaN, it is kept as NaN. + If None: + - Both extrapolation options are set to (NaN, NaN). + If number: + - Both extrapolation options are set to the provided number. + If NaN: + - Both extrapolation options are set to NaN. info: None, bool Indicates if you want to print extra information. overwrite: bool @@ -3860,13 +4354,13 @@ """ return vertical_interpolation.interpolate_vertical( - self, new_levels, new_src_vertical=new_src_vertical, kind=kind, extrapolate=extrapolate, info=info, + self, new_levels, new_src_vertical=new_src_vertical, kind=kind, extrapolate_options=extrapolate, info=info, overwrite=overwrite)
[docs] - def interpolate_horizontal(self, dst_grid, weight_matrix_path=None, kind='NearestNeighbour', n_neighbours=4, + def interpolate_horizontal(self, dst_grid, weight_matrix_path=None, kind="NearestNeighbour", n_neighbours=4, info=False, to_providentia=False, only_create_wm=False, wm=None, flux=False): """ Horizontal methods from the current grid to another one. @@ -3878,7 +4372,7 @@ weight_matrix_path : str, None Path to the weight matrix to read/create. kind : str - Kind of horizontal methods. choices = ['NearestNeighbour', 'Conservative']. + Kind of horizontal methods. choices = ["NearestNeighbour", "Conservative"]. n_neighbours: int Used if kind == NearestNeighbour. Number of nearest neighbours to interpolate. Default: 4. info: bool @@ -3909,7 +4403,7 @@ ext_shp : GeoPandasDataFrame or str File or path from where the data will be obtained on the intersection. method : str - Overlay method. Accepted values: ['nearest', 'intersection', 'centroid']. + Overlay method. Accepted values: ["nearest", "intersection", "centroid"]. var_list : List or None Variables that will be included in the resulting shapefile. info : bool @@ -3936,12 +4430,12 @@ Indicates if we want to overwrite the grid area. """ - if ('cell_area' not in self.cell_measures.keys()) or (overwrite): + if ("cell_area" not in self.cell_measures.keys()) or overwrite: grid_area = cell_measures.calculate_grid_area(self) - grid_area = grid_area.reshape([self.lat['data'].shape[0], self.lon['data'].shape[-1]]) - self.cell_measures['cell_area'] = {'data': grid_area} + grid_area = grid_area.reshape([self.lat["data"].shape[0], self.lon["data"].shape[-1]]) + self.cell_measures["cell_area"] = {"data": grid_area} else: - grid_area = self.cell_measures['cell_area']['data'] + grid_area = self.cell_measures["cell_area"]["data"] return grid_area
@@ -3957,7 +4451,7 @@ Parameters ---------- geometry_list : List - List with polygon geometries. + A List with polygon geometries. earth_radius_minor_axis : float Radius of the minor axis of the Earth. earth_radius_major_axis : float @@ -3982,29 +4476,43 @@ """ # WGS84 with radius defined in Cartopy source code - earth_radius_dict = {'WGS84': [6356752.3142, 6378137.0]} + earth_radius_dict = {"WGS84": [6356752.3142, 6378137.0]} return earth_radius_dict[ellps]
-
-[docs] - def get_fids(self): +
+[docs] + def create_providentia_exp_centre_coordinates(self): """ - Obtain the FIDs in a 2D format. + Calculate centre latitudes and longitudes from original coordinates and store as 2D arrays. Returns - ------- - np.array - 2D array with the FID data. + ---------- + model_centre_lat : dict + Dictionary with data of centre coordinates for latitude in 2D (latitude, longitude). + model_centre_lon : dict + Dictionary with data of centre coordinates for longitude in 2D (latitude, longitude). """ - fids = np.arange(self._lat['data'].shape[0] * self._lon['data'].shape[-1]) - fids = fids.reshape((self._lat['data'].shape[0], self._lon['data'].shape[-1])) - fids = fids[self.write_axis_limits['y_min']:self.write_axis_limits['y_max'], - self.write_axis_limits['x_min']:self.write_axis_limits['x_max']] + raise NotImplementedError("create_providentia_exp_centre_coordinates function is not implemented by default")
- return fids
+ + # noinspection DuplicatedCode +
+[docs] + def create_providentia_exp_grid_edge_coordinates(self): + """ + Calculate grid edge latitudes and longitudes and get model grid outline. + + Returns + ---------- + grid_edge_lat : dict + Dictionary with data of grid edge latitudes. + grid_edge_lon : dict + Dictionary with data of grid edge longitudes. + """ + raise NotImplementedError("create_providentia_exp_grid_edge_coordinates function is not implemented by default")
diff --git a/docs/build/html/_modules/nes/nc_projections/latlon_nes.html b/docs/build/html/_modules/nes/nc_projections/latlon_nes.html index 44400aca4b17991e7ceb5d822142cd47358b2d22..6885b327f5efa68010f837547c8421f78f37ee85 100644 --- a/docs/build/html/_modules/nes/nc_projections/latlon_nes.html +++ b/docs/build/html/_modules/nes/nc_projections/latlon_nes.html @@ -79,7 +79,7 @@

Source code for nes.nc_projections.latlon_nes

 #!/usr/bin/env python
 
-import numpy as np
+from numpy import float64, linspace, meshgrid, mean, diff, append, flip, repeat, concatenate, vstack
 from pyproj import Proj
 from .default_nes import Nes
 
@@ -92,16 +92,16 @@
     Attributes
     ----------
     _var_dim : tuple
-        Tuple with the name of the Y and X dimensions for the variables.
-        ('lat', 'lon') for a regular latitude-longitude projection.
+        A Tuple with the name of the Y and X dimensions for the variables.
+        ("lat", "lon") for a regular latitude-longitude projection.
     _lat_dim : tuple
-        Tuple with the name of the dimensions of the Latitude values.
-        ('lat',) for a regular latitude-longitude projection.
+        A Tuple with the name of the dimensions of the Latitude values.
+        ("lat", ) for a regular latitude-longitude projection.
     _lon_dim : tuple
-        Tuple with the name of the dimensions of the Longitude values.
-        ('lon',) for a regular latitude-longitude projection.
+        A Tuple with the name of the dimensions of the Longitude values.
+        ("lon", ) for a regular latitude-longitude projection.
     """
-    def __init__(self, comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y',
+    def __init__(self, comm=None, path=None, info=False, dataset=None, parallel_method="Y",
                  avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False,
                  balanced=False, times=None, **kwargs):
         """
@@ -117,11 +117,9 @@
             Indicates if you want to get reading/writing info.
         dataset: Dataset
             NetCDF4-python Dataset to initialize the class.
-        xarray: bool:
-            (Not working) Indicates if you want to use xarray as default.
         parallel_method : str
-            Indicates the parallelization method that you want. Default: 'Y'.
-            Accepted values: ['X', 'Y', 'T'].
+            Indicates the parallelization method that you want. Default: "Y".
+            Accepted values: ["X", "Y", "T"].
         avoid_first_hours : int
             Number of hours to remove from first time steps.
         avoid_last_hours : int
@@ -140,29 +138,29 @@
         """
         
         super(LatLonNes, self).__init__(comm=comm, path=path, info=info, dataset=dataset,
-                                        xarray=xarray, parallel_method=parallel_method, balanced=balanced,
+                                        parallel_method=parallel_method, balanced=balanced,
                                         avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours,
                                         first_level=first_level, last_level=last_level, create_nes=create_nes,
                                         times=times, **kwargs)
 
         if create_nes:
             # Dimensions screening
-            self.lat = self._get_coordinate_values(self._lat, 'Y')
-            self.lon = self._get_coordinate_values(self._lon, 'X')
+            self.lat = self._get_coordinate_values(self.get_full_latitudes(), "Y")
+            self.lon = self._get_coordinate_values(self.get_full_longitudes(), "X")
 
         # Set axis limits for parallel writing
-        self.write_axis_limits = self.get_write_axis_limits()
+        self.write_axis_limits = self._get_write_axis_limits()
 
-        self._var_dim = ('lat', 'lon')
-        self._lat_dim = ('lat',)
-        self._lon_dim = ('lon',)
+        self._var_dim = ("lat", "lon")
+        self._lat_dim = ("lat",)
+        self._lon_dim = ("lon",)
 
-        self.free_vars('crs')
+        self.free_vars("crs")
 
 

 [docs]
     @staticmethod
-    def new(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y', 
+    def new(comm=None, path=None, info=False, dataset=None, parallel_method="Y",
             avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, 
             balanced=False, times=None, **kwargs):
         """
@@ -178,11 +176,9 @@
             Indicates if you want to get reading/writing info.
         dataset: Dataset
             NetCDF4-python Dataset to initialize the class.
-        xarray: bool:
-            (Not working) Indicates if you want to use xarray as default.
         parallel_method : str
-            Indicates the parallelization method that you want. Default: 'Y'.
-            Accepted values: ['X', 'Y', 'T'].
+            Indicates the parallelization method that you want. Default: "Y".
+            Accepted values: ["X", "Y", "T"].
         avoid_first_hours : int
             Number of hours to remove from first time steps.
         avoid_last_hours : int
@@ -200,7 +196,7 @@
             List of times to substitute the current ones while creation.
         """
 
-        new = LatLonNes(comm=comm, path=path, info=info, dataset=dataset, xarray=xarray, 
+        new = LatLonNes(comm=comm, path=path, info=info, dataset=dataset,
                         parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, 
                         avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level,
                         create_nes=create_nes, balanced=balanced, times=times, **kwargs)
@@ -208,7 +204,8 @@
         return new

 
 
-    def _get_pyproj_projection(self):
+    @staticmethod
+    def _get_pyproj_projection():
         """
         Get projection data as in Pyproj library.
 
@@ -218,73 +215,99 @@
             Grid projection.
         """
 
-        projection = Proj(proj='latlong', 
-                          ellps='WGS84',
-                         )
+        projection = Proj(proj="latlong", ellps="WGS84",)
 
         return projection
-    
-    def _get_projection(self):
+
+    # noinspection DuplicatedCode
+    def _get_projection_data(self, create_nes, **kwargs):
         """
-        Get 'projection' and 'projection_data' from grid details.
-        """
+        Retrieves projection data based on grid details.
 
-        if 'crs' in self.variables.keys():
-            projection_data = self.variables['crs']
-            self.free_vars('crs')
-        else:
-            projection_data = {'grid_mapping_name': 'latitude_longitude',
-                               'semi_major_axis': self.earth_radius[1],
-                               'inverse_flattening': 0,
-                               }
+        Parameters
+        ----------
+        create_nes : bool
+            Flag indicating whether to create new object (True) or use existing (False).
+        **kwargs : dict
+            Additional keyword arguments for specifying projection details.
 
-        if 'dtype' in projection_data.keys():
-            del projection_data['dtype']
-        
-        if 'data' in projection_data.keys():
-            del projection_data['data']
-        
-        if 'dimensions' in projection_data.keys():
-            del projection_data['dimensions'] 
+        Returns
+        -------
+        Dict[str, Any]
+            A dictionary containing projection data with the following keys:
+            - "grid_mapping_name" : str
+                Type of grid mapping (e.g., "latitude_longitude").
+            - "semi_major_axis" : float
+                Semi-major axis of the Earth's ellipsoid.
+            - "inverse_flattening" : int
+                Inverse flattening parameter.
+            - "inc_lat" : float
+                Increment in latitude.
+            - "inc_lon" : float
+                Increment in longitude.
+            - "lat_orig" : float
+                Origin latitude of the grid.
+            - "lon_orig" : float
+                Origin longitude of the grid.
+            - "n_lat" : int
+                Number of grid points along latitude.
+            - "n_lon" : int
+                Number of grid points along longitude.
+
+        Notes
+        -----
+        Depending on the `create_nes` flag and input `kwargs`, the method constructs
+        or retrieves projection data. If `create_nes` is True, the method initializes
+        projection details based on provided arguments such as increments (`inc_lat`, `inc_lon`),
+        and if additional keyword arguments (`lat_orig`, `lon_orig`, `n_lat`, `n_lon`) are not provided,
+        defaults for the global domain are used. If `create_nes` is False, the method checks for
+        an existing "crs" variable in `self.variables` and retrieves its data, freeing the "crs" variable
+        afterward to optimize memory usage.
 
-        self.projection_data = projection_data
-        self.projection = self._get_pyproj_projection()
+        """
+        if create_nes:
+            projection_data = {"grid_mapping_name": "latitude_longitude",
+                               "semi_major_axis": self.earth_radius[1],
+                               "inverse_flattening": 0,
+                               "inc_lat": kwargs["inc_lat"],
+                               "inc_lon": kwargs["inc_lon"],
+                               }
+            # Global domain
+            if len(kwargs) == 2:
+                projection_data["lat_orig"] = -90
+                projection_data["lon_orig"] = -180
+                projection_data["n_lat"] = int(180 // float64(projection_data["inc_lat"]))
+                projection_data["n_lon"] = int(360 // float64(projection_data["inc_lon"]))
+            # Other domains
+            else:
+                projection_data["lat_orig"] = kwargs["lat_orig"]
+                projection_data["lon_orig"] = kwargs["lon_orig"]
+                projection_data["n_lat"] = kwargs["n_lat"]
+                projection_data["n_lon"] = kwargs["n_lon"]
+        else:
+            if "crs" in self.variables.keys():
+                projection_data = self.variables["crs"]
+                self.free_vars("crs")
+            else:
+                projection_data = {"grid_mapping_name": "latitude_longitude",
+                                   "semi_major_axis": self.earth_radius[1],
+                                   "inverse_flattening": 0,
+                                   }
 
-        return None
+            if "dtype" in projection_data.keys():
+                del projection_data["dtype"]
 
-    def _create_projection(self, **kwargs):
-        """
-        Create 'projection' and 'projection_data' from projection arguments.
-        """
+            if "data" in projection_data.keys():
+                del projection_data["data"]
 
-        projection_data = {'grid_mapping_name': 'latitude_longitude',
-                           'semi_major_axis': self.earth_radius[1],
-                           'inverse_flattening': 0,
-                           'inc_lat': kwargs['inc_lat'],
-                           'inc_lon': kwargs['inc_lon'],
-
-                          }
-        # Global domain
-        if len(kwargs) == 2:
-            projection_data['lat_orig'] = -90
-            projection_data['lon_orig'] = -180
-            projection_data['n_lat'] = int(180 // np.float64(projection_data['inc_lat']))
-            projection_data['n_lon'] = int(360 // np.float64(projection_data['inc_lon']))
-        # Other domains
-        else:
-            projection_data['lat_orig'] = kwargs['lat_orig']
-            projection_data['lon_orig'] = kwargs['lon_orig']
-            projection_data['n_lat'] = kwargs['n_lat']
-            projection_data['n_lon'] = kwargs['n_lon']
+            if "dimensions" in projection_data.keys():
+                del projection_data["dimensions"]
 
-        self.projection_data = projection_data
-        self.projection = self._get_pyproj_projection()
+        return projection_data
 
-        return None
-    
     def _create_dimensions(self, netcdf):
         """
-        Create 'spatial_nv' dimensions and the super dimensions 'lev', 'time', 'time_nv', 'lon' and 'lat'.
+        Create "spatial_nv" dimensions and the super dimensions "lev", "time", "time_nv", "lon" and "lat".
 
         Parameters
         ----------
@@ -294,12 +317,12 @@
 
         super(LatLonNes, self)._create_dimensions(netcdf)
 
-        netcdf.createDimension('lon', len(self._lon['data']))
-        netcdf.createDimension('lat', len(self._lat['data']))
+        netcdf.createDimension("lon", len(self.get_full_longitudes()["data"]))
+        netcdf.createDimension("lat", len(self.get_full_latitudes()["data"]))
 
         # Create spatial_nv (number of vertices) dimension
-        if (self._lat_bnds is not None) and (self._lon_bnds is not None):
-            netcdf.createDimension('spatial_nv', 2)
+        if (self.lat_bnds is not None) and (self.lon_bnds is not None):
+            netcdf.createDimension("spatial_nv", 2)
 
         return None
 
@@ -316,30 +339,26 @@
         """
 
         # Get grid resolution
-        inc_lat = np.float64(self.projection_data['inc_lat'])
-        inc_lon = np.float64(self.projection_data['inc_lon'])
+        inc_lat = float64(self.projection_data["inc_lat"])
+        inc_lon = float64(self.projection_data["inc_lon"])
 
         # Get coordinates origen
-        lat_orig = np.float64(self.projection_data['lat_orig'])
-        lon_orig = np.float64(self.projection_data['lon_orig'])
+        lat_orig = float64(self.projection_data["lat_orig"])
+        lon_orig = float64(self.projection_data["lon_orig"])
 
         # Get number of coordinates
-        n_lat = int(self.projection_data['n_lat'])
-        n_lon = int(self.projection_data['n_lon'])
+        n_lat = int(self.projection_data["n_lat"])
+        n_lon = int(self.projection_data["n_lon"])
 
         # Calculate centre latitudes
         lat_c_orig = lat_orig + (inc_lat / 2)
-        centre_lat = np.linspace(lat_c_orig, 
-                                 lat_c_orig + (inc_lat * (n_lat - 1)), 
-                                 n_lat, dtype=np.float64)
+        centre_lat = linspace(lat_c_orig, lat_c_orig + (inc_lat * (n_lat - 1)), n_lat, dtype=float64)
 
         # Calculate centre longitudes
         lon_c_orig = lon_orig + (inc_lon / 2)
-        centre_lon = np.linspace(lon_c_orig, 
-                                 lon_c_orig + (inc_lon * (n_lon - 1)), 
-                                 n_lon, dtype=np.float64)
+        centre_lon = linspace(lon_c_orig, lon_c_orig + (inc_lon * (n_lon - 1)), n_lon, dtype=float64)
 
-        return {'data': centre_lat}, {'data': centre_lon}
+        return {"data": centre_lat}, {"data": centre_lon}
 
 

 [docs]
@@ -355,17 +374,18 @@
             Dictionary with data of centre coordinates for longitude in 2D (latitude, longitude).
         """
 
-        model_centre_lon_data, model_centre_lat_data = np.meshgrid(self.lon['data'], self.lat['data'])
+        model_centre_lon_data, model_centre_lat_data = meshgrid(self.lon["data"], self.lat["data"])
 
         # Calculate centre latitudes
-        model_centre_lat = {'data': model_centre_lat_data}
+        model_centre_lat = {"data": model_centre_lat_data}
 
         # Calculate centre longitudes
-        model_centre_lon = {'data': model_centre_lon_data}
+        model_centre_lon = {"data": model_centre_lon_data}
 
         return model_centre_lat, model_centre_lon

 
 
+    # noinspection DuplicatedCode
 

 [docs]
     def create_providentia_exp_grid_edge_coordinates(self):
@@ -381,31 +401,31 @@
         """
 
         # Get grid resolution
-        inc_lon = np.abs(np.mean(np.diff(self.lon['data'])))
-        inc_lat = np.abs(np.mean(np.diff(self.lat['data'])))
+        inc_lon = abs(mean(diff(self.lon["data"])))
+        inc_lat = abs(mean(diff(self.lat["data"])))
 
         # Get bounds
-        lat_bounds = self.create_single_spatial_bounds(self.lat['data'], inc_lat)
-        lon_bounds = self.create_single_spatial_bounds(self.lon['data'], inc_lon)
+        lat_bounds = self._create_single_spatial_bounds(self.lat["data"], inc_lat)
+        lon_bounds = self._create_single_spatial_bounds(self.lon["data"], inc_lon)
 
         # Get latitudes for grid edge
-        left_edge_lat = np.append(lat_bounds.flatten()[::2], lat_bounds.flatten()[-1])
-        right_edge_lat = np.flip(left_edge_lat, 0)
-        top_edge_lat = np.repeat(lat_bounds[-1][-1], len(self.lon['data']) - 1)
-        bottom_edge_lat = np.repeat(lat_bounds[0][0], len(self.lon['data']))
-        lat_grid_edge = np.concatenate((left_edge_lat, top_edge_lat, right_edge_lat, bottom_edge_lat))
+        left_edge_lat = append(lat_bounds.flatten()[::2], lat_bounds.flatten()[-1])
+        right_edge_lat = flip(left_edge_lat, 0)
+        top_edge_lat = repeat(lat_bounds[-1][-1], len(self.lon["data"]) - 1)
+        bottom_edge_lat = repeat(lat_bounds[0][0], len(self.lon["data"]))
+        lat_grid_edge = concatenate((left_edge_lat, top_edge_lat, right_edge_lat, bottom_edge_lat))
 
         # Get longitudes for grid edge
-        left_edge_lon = np.repeat(lon_bounds[0][0], len(self.lat['data']) + 1)
+        left_edge_lon = repeat(lon_bounds[0][0], len(self.lat["data"]) + 1)
         top_edge_lon = lon_bounds.flatten()[1:-1:2]
-        right_edge_lon = np.repeat(lon_bounds[-1][-1], len(self.lat['data']) + 1)
-        bottom_edge_lon = np.flip(lon_bounds.flatten()[:-1:2], 0)
-        lon_grid_edge = np.concatenate((left_edge_lon, top_edge_lon, right_edge_lon, bottom_edge_lon))
+        right_edge_lon = repeat(lon_bounds[-1][-1], len(self.lat["data"]) + 1)
+        bottom_edge_lon = flip(lon_bounds.flatten()[:-1:2], 0)
+        lon_grid_edge = concatenate((left_edge_lon, top_edge_lon, right_edge_lon, bottom_edge_lon))
 
         # Create grid outline by stacking the edges in both coordinates
-        model_grid_outline = np.vstack((lon_grid_edge, lat_grid_edge)).T
-        grid_edge_lat = {'data': model_grid_outline[:,1]}
-        grid_edge_lon = {'data': model_grid_outline[:,0]}
+        model_grid_outline = vstack((lon_grid_edge, lat_grid_edge)).T
+        grid_edge_lat = {"data": model_grid_outline[:, 1]}
+        grid_edge_lon = {"data": model_grid_outline[:, 0]}
 
         return grid_edge_lat, grid_edge_lon

 
@@ -413,7 +433,7 @@
     @staticmethod
     def _set_var_crs(var):
         """
-        Set the grid_mapping to 'crs'.
+        Set the grid_mapping to "crs".
 
         Parameters
         ----------
@@ -421,14 +441,14 @@
             netCDF4-python variable object.
         """
 
-        var.grid_mapping = 'crs'
+        var.grid_mapping = "crs"
         var.coordinates = "lat lon"
 
         return None
 
     def _create_metadata(self, netcdf):
         """
-        Create the 'crs' variable for the rotated latitude longitude grid_mapping.
+        Create the "crs" variable for the rotated latitude longitude grid_mapping.
 
         Parameters
         ----------
@@ -437,10 +457,10 @@
         """
 
         if self.projection_data is not None:
-            mapping = netcdf.createVariable('crs', 'i')
-            mapping.grid_mapping_name = self.projection_data['grid_mapping_name']
-            mapping.semi_major_axis = self.projection_data['semi_major_axis']
-            mapping.inverse_flattening = self.projection_data['inverse_flattening']
+            mapping = netcdf.createVariable("crs", "i")
+            mapping.grid_mapping_name = self.projection_data["grid_mapping_name"]
+            mapping.semi_major_axis = self.projection_data["semi_major_axis"]
+            mapping.inverse_flattening = self.projection_data["inverse_flattening"]
 
         return None
 
diff --git a/docs/build/html/_modules/nes/nc_projections/lcc_nes.html b/docs/build/html/_modules/nes/nc_projections/lcc_nes.html
index e2530c67631de1d0201a3f604fb436b08ebb95d0..8acd89e476e30e06959dfb8adfe2cae99af49bf8 100644
--- a/docs/build/html/_modules/nes/nc_projections/lcc_nes.html
+++ b/docs/build/html/_modules/nes/nc_projections/lcc_nes.html
@@ -79,14 +79,12 @@
   
Source code for nes.nc_projections.lcc_nes
 #!/usr/bin/env python
 
-import warnings
-import sys
-import numpy as np
-import pandas as pd
-from cfunits import Units
+from numpy import float64, linspace, array, mean, diff, append, flip, repeat, concatenate, vstack
+from geopandas import GeoDataFrame
+from pandas import Index
 from pyproj import Proj
 from copy import deepcopy
-import geopandas as gpd
+from typing import Dict, Any
 from shapely.geometry import Polygon, Point
 from .default_nes import Nes
 
@@ -98,25 +96,25 @@
 
     Attributes
     ----------
-    _y : dict
-        Y coordinates dictionary with the complete 'data' key for all the values and the rest of the attributes.
-    _x : dict
-        X coordinates dictionary with the complete 'data' key for all the values and the rest of the attributes.
+    _full_y : dict
+        Y coordinates dictionary with the complete "data" key for all the values and the rest of the attributes.
+    _full_x : dict
+        X coordinates dictionary with the complete "data" key for all the values and the rest of the attributes.
     y : dict
-        Y coordinates dictionary with the portion of 'data' corresponding to the rank values.
+        Y coordinates dictionary with the portion of "data" corresponding to the rank values.
     x : dict
-        X coordinates dictionary with the portion of 'data' corresponding to the rank values.
+        X coordinates dictionary with the portion of "data" corresponding to the rank values.
     _var_dim : tuple
-        Tuple with the name of the Y and X dimensions for the variables.
-        ('y', 'x',) for a LCC projection.
+        A Tuple with the name of the Y and X dimensions for the variables.
+        ("y", "x", ) for an LCC projection.
     _lat_dim : tuple
-        Tuple with the name of the dimensions of the Latitude values.
-        ('y', 'x',) for a LCC projection.
+        A Tuple with the name of the dimensions of the Latitude values.
+        ("y", "x", ) for an LCC projection.
     _lon_dim : tuple
-        Tuple with the name of the dimensions of the Longitude values.
-        ('y', 'x') for a LCC projection.
+        ATuple with the name of the dimensions of the Longitude values.
+        ("y", "x") for an LCC projection.
     """
-    def __init__(self, comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y',
+    def __init__(self, comm=None, path=None, info=False, dataset=None, parallel_method="Y",
                  avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False,
                  balanced=False, times=None, **kwargs):
         """
@@ -132,11 +130,9 @@
             Indicates if you want to get reading/writing info.
         dataset: Dataset
             NetCDF4-python Dataset to initialize the class.
-        xarray: bool:
-            (Not working) Indicates if you want to use xarray as default.
         parallel_method : str
-            Indicates the parallelization method that you want. Default: 'Y'.
-            Accepted values: ['X', 'Y', 'T'].
+            Indicates the parallelization method that you want. Default: "Y".
+            Accepted values: ["X", "Y", "T"].
         avoid_first_hours : int
             Number of hours to remove from first time steps.
         avoid_last_hours : int
@@ -153,39 +149,41 @@
         times : list, None
             List of times to substitute the current ones while creation.
         """
+        self._full_y = None
+        self._full_x = None
 
         super(LCCNes, self).__init__(comm=comm, path=path, info=info, dataset=dataset,
-                                     xarray=xarray, parallel_method=parallel_method, balanced=balanced,
+                                     parallel_method=parallel_method, balanced=balanced,
                                      avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours,
                                      first_level=first_level, last_level=last_level, create_nes=create_nes,
                                      times=times, **kwargs)
 
         if create_nes:
             # Dimensions screening
-            self.lat = self._get_coordinate_values(self._lat, 'Y')
-            self.lon = self._get_coordinate_values(self._lon, 'X')
+            self.lat = self._get_coordinate_values(self.get_full_latitudes(), "Y")
+            self.lon = self._get_coordinate_values(self.get_full_longitudes(), "X")
         else:
             # Complete dimensions
-            self._y = self._get_coordinate_dimension('y')
-            self._x = self._get_coordinate_dimension('x')
+            self._full_y = self._get_coordinate_dimension("y")
+            self._full_x = self._get_coordinate_dimension("x")
 
         # Dimensions screening
-        self.y = self._get_coordinate_values(self._y, 'Y')
-        self.x = self._get_coordinate_values(self._x, 'X')
+        self.y = self._get_coordinate_values(self.get_full_y(), "Y")
+        self.x = self._get_coordinate_values(self.get_full_x(), "X")
         
         # Set axis limits for parallel writing
-        self.write_axis_limits = self.get_write_axis_limits()
+        self.write_axis_limits = self._get_write_axis_limits()
 
-        self._var_dim = ('y', 'x')
-        self._lat_dim = ('y', 'x')
-        self._lon_dim = ('y', 'x')
+        self._var_dim = ("y", "x")
+        self._lat_dim = ("y", "x")
+        self._lon_dim = ("y", "x")
 
-        self.free_vars('crs')
+        self.free_vars("crs")
 
 

 [docs]
     @staticmethod
-    def new(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y', 
+    def new(comm=None, path=None, info=False, dataset=None, parallel_method="Y",
             avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, 
             balanced=False, times=None, **kwargs):
         """
@@ -201,11 +199,9 @@
             Indicates if you want to get reading/writing info.
         dataset: Dataset
             NetCDF4-python Dataset to initialize the class.
-        xarray: bool:
-            (Not working) Indicates if you want to use xarray as default.
         parallel_method : str
-            Indicates the parallelization method that you want. Default: 'Y'.
-            Accepted values: ['X', 'Y', 'T'].
+            Indicates the parallelization method that you want. Default: "Y".
+            Accepted values: ["X", "Y", "T"].
         avoid_first_hours : int
             Number of hours to remove from first time steps.
         avoid_last_hours : int
@@ -223,7 +219,7 @@
             List of times to substitute the current ones while creation.
         """
 
-        new = LCCNes(comm=comm, path=path, info=info, dataset=dataset, xarray=xarray,
+        new = LCCNes(comm=comm, path=path, info=info, dataset=dataset,
                      parallel_method=parallel_method, avoid_first_hours=avoid_first_hours,
                      avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level,
                      create_nes=create_nes, balanced=balanced, times=times, **kwargs)
@@ -231,26 +227,111 @@
         return new

 
 
-

-[docs]
-    def filter_coordinates_selection(self):
+

+[docs]
+    def get_full_y(self) -> Dict[str, Any]:
         """
-        Use the selection limits to filter y, x, time, lev, lat, lon, lon_bnds and lat_bnds.
+        Retrieve the complete Y information.
+
+        Returns
+        -------
+        Dict[str, Any]
+            A dictionary containing the complete latitude data and its attributes.
+            The dictionary structure is:
+            {
+                "data": ndarray,  # Array of latitude values.
+                attr_name: attr_value,  # Latitude attributes.
+                ...
+            }
+        """
+        data = self.comm.bcast(self._full_y)
+
+        return data

+
+
+

+[docs]
+    def get_full_x(self) -> Dict[str, Any]:
+        """
+        Retrieve the complete X information.
+
+        Returns
+        -------
+        Dict[str, Any]
+            A dictionary containing the complete longitude data and its attributes.
+            The dictionary structure is:
+            {
+                "data": ndarray,  # Array of longitude values.
+                attr_name: attr_value,  # Longitude attributes.
+                ...
+            }
         """
+        data = self.comm.bcast(self._full_x)
+        return data

 
-        idx = self.get_idx_intervals()
 
-        self.y = self._get_coordinate_values(self._y, 'Y')
-        self.x = self._get_coordinate_values(self._x, 'X')
+

+[docs]
+    def set_full_y(self, data: Dict[str, Any]) -> None:
+        """
+        Set the complete Y information.
+
+        Parameters
+        ----------
+        data : Dict[str, Any]
+            A dictionary containing the complete latitude data and its attributes.
+            The dictionary structure is:
+            {
+                "data": ndarray,  # Array of latitude values.
+                attr_name: attr_value,  # Latitude attributes.
+                ...
+            }
+        """
+        if self.master:
+            self._full_y = data
+        return None

 
-        self._y['data'] = self._y['data'][idx['idx_y_min']:idx['idx_y_max']]
-        self._x['data'] = self._x['data'][idx['idx_x_min']:idx['idx_x_max']]
 
-        super(LCCNes, self).filter_coordinates_selection()
+

+[docs]
+    def set_full_x(self, data: Dict[str, Any]) -> None:
+        """
+        Set the complete rotated longitude information.
 
+        Parameters
+        ----------
+        data : Dict[str, Any]
+            A dictionary containing the complete longitude data and its attributes.
+            The dictionary structure is:
+            {
+                "data": ndarray,  # Array of longitude values.
+                attr_name: attr_value,  # Longitude attributes.
+                ...
+            }
+        """
+        if self.master:
+            self._full_x = data
         return None

 
 
+    # noinspection DuplicatedCode
+    def _filter_coordinates_selection(self):
+        """
+        Use the selection limits to filter y, x, time, lev, lat, lon, lon_bnds and lat_bnds.
+        """
+
+        idx = self._get_idx_intervals()
+
+        self.y = self._get_coordinate_values(self.get_full_y(), "Y")
+        self.x = self._get_coordinate_values(self.get_full_x(), "X")
+
+        self.set_full_y({'data': self.y["data"][idx["idx_y_min"]:idx["idx_y_max"]]})
+        self.set_full_x({'data': self.x["data"][idx["idx_x_min"]:idx["idx_x_max"]]})
+
+        super(LCCNes, self)._filter_coordinates_selection()
+
+        return None
+
     def _get_pyproj_projection(self):
         """
         Get projection data as in Pyproj library.
@@ -261,80 +342,73 @@
             Grid projection.
         """
 
-        projection = Proj(proj='lcc',
-                          ellps='WGS84',
+        projection = Proj(proj="lcc",
+                          ellps="WGS84",
                           R=self.earth_radius[0],
-                          lat_1=np.float64(self.projection_data['standard_parallel'][0]),
-                          lat_2=np.float64(self.projection_data['standard_parallel'][1]),
-                          lon_0=np.float64(self.projection_data['longitude_of_central_meridian']),
-                          lat_0=np.float64(self.projection_data['latitude_of_projection_origin']),
+                          lat_1=float64(self.projection_data["standard_parallel"][0]),
+                          lat_2=float64(self.projection_data["standard_parallel"][1]),
+                          lon_0=float64(self.projection_data["longitude_of_central_meridian"]),
+                          lat_0=float64(self.projection_data["latitude_of_projection_origin"]),
                           to_meter=1,
                           x_0=0,
                           y_0=0,
                           a=self.earth_radius[1],
                           k_0=1.0,
-                         )
+                          )
 
         return projection
     
-    def _get_projection(self):
+    def _get_projection_data(self, create_nes, **kwargs):
         """
-        Get 'projection' and 'projection_data' from grid details.
-        """
+        Retrieves projection data based on grid details.
 
-        if 'Lambert_Conformal' in self.variables.keys():
-            projection_data = self.variables['Lambert_Conformal']
-            self.free_vars('Lambert_Conformal')
-        elif 'Lambert_conformal' in self.variables.keys():
-            projection_data = self.variables['Lambert_conformal']
-            self.free_vars('Lambert_conformal')
+        Parameters
+        ----------
+        create_nes : bool
+            Flag indicating whether to create new object (True) or use existing (False).
+        **kwargs : dict
+            Additional keyword arguments for specifying projection details.        """
+        if create_nes:
+            projection_data = {"grid_mapping_name": "lambert_conformal_conic",
+                               "standard_parallel": [kwargs["lat_1"], kwargs["lat_2"]],
+                               "longitude_of_central_meridian": kwargs["lon_0"],
+                               "latitude_of_projection_origin": kwargs["lat_0"],
+                               "x_0": kwargs["x_0"], "y_0": kwargs["y_0"],
+                               "inc_x": kwargs["inc_x"], "inc_y": kwargs["inc_y"],
+                               "nx": kwargs["nx"], "ny": kwargs["ny"],
+                               }
         else:
-            # We will never have this condition since the LCC grid will never be correctly detected
-            # since the function __is_lcc in load_nes only detects LCC grids when there is Lambert_conformal
-            msg = 'There is no variable called Lambert_Conformal, projection has not been defined.'
-            raise RuntimeError(msg)
-  
-        if 'dtype' in projection_data.keys():
-            del projection_data['dtype']
-        
-        if 'data' in projection_data.keys():
-            del projection_data['data']
-        
-        if 'dimensions' in projection_data.keys():
-            del projection_data['dimensions'] 
-
-        if isinstance(projection_data['standard_parallel'], str):
-            projection_data['standard_parallel'] = [projection_data['standard_parallel'].split(', ')[0],
-                                                    projection_data['standard_parallel'].split(', ')[1]]
-        
-        self.projection_data = projection_data
-        self.projection = self._get_pyproj_projection()
-
-        return None
-        
-    def _create_projection(self, **kwargs):
-        """
-        Create 'projection' and 'projection_data' from projection arguments.
-        """
-
-        projection_data = {'grid_mapping_name': 'lambert_conformal_conic',
-                           'standard_parallel': [kwargs['lat_1'], kwargs['lat_2']],
-                           'longitude_of_central_meridian': kwargs['lon_0'],
-                           'latitude_of_projection_origin': kwargs['lat_0'],
-                           'x_0': kwargs['x_0'], 'y_0': kwargs['y_0'],
-                           'inc_x': kwargs['inc_x'], 'inc_y': kwargs['inc_y'],
-                           'nx': kwargs['nx'], 'ny': kwargs['ny'],
-
-                          }
-
-        self.projection_data = projection_data
-        self.projection = self._get_pyproj_projection()
-
-        return None
-
+            if "Lambert_Conformal" in self.variables.keys():
+                projection_data = self.variables["Lambert_Conformal"]
+                self.free_vars("Lambert_Conformal")
+            elif "Lambert_conformal" in self.variables.keys():
+                projection_data = self.variables["Lambert_conformal"]
+                self.free_vars("Lambert_conformal")
+            else:
+                # We will never have this condition since the LCC grid will never be correctly detected
+                # since the function __is_lcc in load_nes only detects LCC grids when there is Lambert_conformal
+                msg = "There is no variable called Lambert_Conformal, projection has not been defined."
+                raise RuntimeError(msg)
+
+            if "dtype" in projection_data.keys():
+                del projection_data["dtype"]
+
+            if "data" in projection_data.keys():
+                del projection_data["data"]
+
+            if "dimensions" in projection_data.keys():
+                del projection_data["dimensions"]
+
+            if isinstance(projection_data["standard_parallel"], str):
+                projection_data["standard_parallel"] = [projection_data["standard_parallel"].split(", ")[0],
+                                                        projection_data["standard_parallel"].split(", ")[1]]
+
+        return projection_data
+
+    # noinspection DuplicatedCode
     def _create_dimensions(self, netcdf):
         """
-        Create 'y', 'x' and 'spatial_nv' dimensions and the super dimensions 'lev', 'time', 'time_nv', 'lon' and 'lat'
+        Create "y", "x" and "spatial_nv" dimensions and the super dimensions "lev", "time", "time_nv", "lon" and "lat"
 
         Parameters
         ----------
@@ -345,18 +419,19 @@
         super(LCCNes, self)._create_dimensions(netcdf)
 
         # Create y and x dimensions
-        netcdf.createDimension('y', len(self._y['data']))
-        netcdf.createDimension('x', len(self._x['data']))
+        netcdf.createDimension("y", len(self.get_full_y()["data"]))
+        netcdf.createDimension("x", len(self.get_full_x()["data"]))
 
         # Create spatial_nv (number of vertices) dimension
-        if (self._lat_bnds is not None) and (self._lon_bnds is not None):
-            netcdf.createDimension('spatial_nv', 4)
+        if (self.lat_bnds is not None) and (self.lon_bnds is not None):
+            netcdf.createDimension("spatial_nv", 4)
 
         return None
 
+    # noinspection DuplicatedCode
     def _create_dimension_variables(self, netcdf):
         """
-        Create the 'y' and 'x' variables.
+        Create the "y" and "x" variables.
 
         Parameters
         ----------
@@ -367,31 +442,34 @@
         super(LCCNes, self)._create_dimension_variables(netcdf)
 
         # LCC Y COORDINATES
-        y = netcdf.createVariable('y', self._y['data'].dtype, ('y',))
-        y.long_name = 'y coordinate of projection'
-        if 'units' in self._y.keys():
-            y.units = Units(self._y['units'], formatted=True).units
+        full_y = self.get_full_y()
+        y = netcdf.createVariable("y", full_y["data"].dtype, ("y",))
+        y.long_name = "y coordinate of projection"
+        if "units" in full_y.keys():
+            y.units = full_y["units"]
         else:
-            y.units = 'm'
-        y.standard_name = 'projection_y_coordinate'
+            y.units = "m"
+        y.standard_name = "projection_y_coordinate"
         if self.size > 1:
             y.set_collective(True)
-        y[:] = self._y['data']
+        y[:] = full_y["data"]
 
         # LCC X COORDINATES
-        x = netcdf.createVariable('x', self._x['data'].dtype, ('x',))
-        x.long_name = 'x coordinate of projection'
-        if 'units' in self._x.keys():
-            x.units = Units(self._x['units'], formatted=True).units
+        full_x = self.get_full_x()
+        x = netcdf.createVariable("x", full_x["data"].dtype, ("x",))
+        x.long_name = "x coordinate of projection"
+        if "units" in full_x.keys():
+            x.units = full_x["units"]
         else:
-            x.units = 'm'
-        x.standard_name = 'projection_x_coordinate'
+            x.units = "m"
+        x.standard_name = "projection_x_coordinate"
         if self.size > 1:
             x.set_collective(True)
-        x[:] = self._x['data']
+        x[:] = full_x["data"]
 
         return None
 
+    # noinspection DuplicatedCode
     def _create_centre_coordinates(self, **kwargs):
         """
         Calculate centre latitudes and longitudes from grid details.
@@ -401,34 +479,33 @@
         netcdf : Dataset
             NetCDF object.
         """
-
-        # Get projection details on x
-        x_0 = np.float64(self.projection_data['x_0'])
-        inc_x = np.float64(self.projection_data['inc_x'])
-        nx = int(self.projection_data['nx'])
-
-        # Get projection details on y
-        y_0 = np.float64(self.projection_data['y_0'])
-        inc_y = np.float64(self.projection_data['inc_y'])
-        ny = int(self.projection_data['ny'])
-
-        # Create a regular grid in metres (1D)
-        self._x = {'data': np.linspace(x_0 + (inc_x / 2), 
-                                              x_0 + (inc_x / 2) + (inc_x * (nx - 1)), 
-                                              nx, dtype=np.float64)}
-        self._y = {'data': np.linspace(y_0 + (inc_y / 2), 
-                                              y_0 + (inc_y / 2) + (inc_y * (ny - 1)), 
-                                              ny, dtype=np.float64)}
-
-
-        # Create a regular grid in metres (1D to 2D)
-        x = np.array([self._x['data']] * len(self._y['data']))
-        y = np.array([self._y['data']] * len(self._x['data'])).T
-
-        # Calculate centre latitudes and longitudes (UTM to LCC)
-        centre_lon, centre_lat = self.projection(x, y, inverse=True)
-
-        return {'data': centre_lat}, {'data': centre_lon}
+        if self.master:
+            # Get projection details on x
+            x_0 = float64(self.projection_data["x_0"])
+            inc_x = float64(self.projection_data["inc_x"])
+            nx = int(self.projection_data["nx"])
+
+            # Get projection details on y
+            y_0 = float64(self.projection_data["y_0"])
+            inc_y = float64(self.projection_data["inc_y"])
+            ny = int(self.projection_data["ny"])
+
+            # Create a regular grid in metres (1D)
+            self._full_x = {"data": linspace(x_0 + (inc_x / 2), x_0 + (inc_x / 2) + (inc_x * (nx - 1)), nx,
+                                             dtype=float64)}
+            self._full_y = {"data": linspace(y_0 + (inc_y / 2), y_0 + (inc_y / 2) + (inc_y * (ny - 1)), ny,
+                                             dtype=float64)}
+
+            # Create a regular grid in metres (1D to 2D)
+            x = array([self._full_x["data"]] * len(self._full_y["data"]))
+            y = array([self._full_y["data"]] * len(self._full_x["data"])).T
+
+            # Calculate centre latitudes and longitudes (UTM to LCC)
+            centre_lon, centre_lat = self.projection(x, y, inverse=True)
+
+            return {"data": centre_lat}, {"data": centre_lon}
+        else:
+            return None, None
 
 

 [docs]
@@ -453,6 +530,7 @@
         return model_centre_lat, model_centre_lon

 
 
+    # noinspection DuplicatedCode
 

 [docs]
     def create_providentia_exp_grid_edge_coordinates(self):
@@ -466,40 +544,40 @@
         grid_edge_lon : dict
             Dictionary with data of grid edge longitudes.
         """
-
         # Get grid resolution
-        inc_x = np.abs(np.mean(np.diff(self.x['data'])))
-        inc_y = np.abs(np.mean(np.diff(self.y['data'])))
+        inc_x = abs(mean(diff(self.x["data"])))
+        inc_y = abs(mean(diff(self.y["data"])))
 
         # Get bounds for rotated coordinates
-        y_bnds = self.create_single_spatial_bounds(self.y['data'], inc_y)
-        x_bnds = self.create_single_spatial_bounds(self.x['data'], inc_x)
+        y_bnds = self._create_single_spatial_bounds(self.y["data"], inc_y)
+        x_bnds = self._create_single_spatial_bounds(self.x["data"], inc_x)
 
         # Get rotated latitudes for grid edge
-        left_edge_y = np.append(y_bnds.flatten()[::2], y_bnds.flatten()[-1])
-        right_edge_y = np.flip(left_edge_y, 0)
-        top_edge_y = np.repeat(y_bnds[-1][-1], len(self.x['data']) - 1)
-        bottom_edge_y = np.repeat(y_bnds[0][0], len(self.x['data']))
-        y_grid_edge = np.concatenate((left_edge_y, top_edge_y, right_edge_y, bottom_edge_y))
+        left_edge_y = append(y_bnds.flatten()[::2], y_bnds.flatten()[-1])
+        right_edge_y = flip(left_edge_y, 0)
+        top_edge_y = repeat(y_bnds[-1][-1], len(self.x["data"]) - 1)
+        bottom_edge_y = repeat(y_bnds[0][0], len(self.x["data"]))
+        y_grid_edge = concatenate((left_edge_y, top_edge_y, right_edge_y, bottom_edge_y))
 
         # Get rotated longitudes for grid edge
-        left_edge_x = np.repeat(x_bnds[0][0], len(self.y['data']) + 1)
+        left_edge_x = repeat(x_bnds[0][0], len(self.y["data"]) + 1)
         top_edge_x = x_bnds.flatten()[1:-1:2]
-        right_edge_x = np.repeat(x_bnds[-1][-1], len(self.y['data']) + 1)
-        bottom_edge_x = np.flip(x_bnds.flatten()[:-1:2], 0)
-        x_grid_edge = np.concatenate((left_edge_x, top_edge_x, right_edge_x, bottom_edge_x))
+        right_edge_x = repeat(x_bnds[-1][-1], len(self.y["data"]) + 1)
+        bottom_edge_x = flip(x_bnds.flatten()[:-1:2], 0)
+        x_grid_edge = concatenate((left_edge_x, top_edge_x, right_edge_x, bottom_edge_x))
 
         # Get edges for regular coordinates
         grid_edge_lon_data, grid_edge_lat_data = self.projection(x_grid_edge, y_grid_edge, inverse=True)
         
         # Create grid outline by stacking the edges in both coordinates
-        model_grid_outline = np.vstack((grid_edge_lon_data, grid_edge_lat_data)).T
-        grid_edge_lat = {'data': model_grid_outline[:,1]}
-        grid_edge_lon = {'data': model_grid_outline[:,0]}
+        model_grid_outline = vstack((grid_edge_lon_data, grid_edge_lat_data)).T
+        grid_edge_lat = {"data": model_grid_outline[:, 1]}
+        grid_edge_lon = {"data": model_grid_outline[:, 0]}
         
         return grid_edge_lat, grid_edge_lon

 
 
+    # noinspection DuplicatedCode
 

 [docs]
     def create_spatial_bounds(self):
@@ -508,31 +586,29 @@
         """
 
         # Calculate LCC coordinates bounds
-        inc_x = np.abs(np.mean(np.diff(self._x['data'])))
-        x_bnds = self.create_single_spatial_bounds(np.array([self._x['data']] * len(self._y['data'])), 
-                                                   inc_x, spatial_nv=4)
+        full_x = self.get_full_x()
+        full_y = self.get_full_y()
+        inc_x = abs(mean(diff(full_x["data"])))
+        x_bnds = self._create_single_spatial_bounds(array([full_x["data"]] * len(full_y["data"])),
+                                                    inc_x, spatial_nv=4)
 
-        inc_y = np.abs(np.mean(np.diff(self._y['data'])))
-        y_bnds = self.create_single_spatial_bounds(np.array([self._y['data']] * len(self._x['data'])).T, 
-                                                   inc_y, spatial_nv=4, inverse=True)
+        inc_y = abs(mean(diff(full_y["data"])))
+        y_bnds = self._create_single_spatial_bounds(array([full_y["data"]] * len(full_x["data"])).T,
+                                                    inc_y, spatial_nv=4, inverse=True)
 
         # Transform LCC bounds to regular bounds
         lon_bnds, lat_bnds = self.projection(x_bnds, y_bnds, inverse=True)
 
         # Obtain regular coordinates bounds
-        self._lat_bnds = {}
-        self._lat_bnds['data'] = deepcopy(lat_bnds)
-        self.lat_bnds = {}
-        self.lat_bnds['data'] = lat_bnds[self.read_axis_limits['y_min']:self.read_axis_limits['y_max'],
-                                         self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], 
-                                         :]
-
-        self._lon_bnds = {}
-        self._lon_bnds['data'] = deepcopy(lon_bnds)
-        self.lon_bnds = {}
-        self.lon_bnds['data'] = lon_bnds[self.read_axis_limits['y_min']:self.read_axis_limits['y_max'],
-                                         self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], 
-                                         :]
+        self.set_full_latitudes_boundaries({"data": deepcopy(lat_bnds)})
+        self.lat_bnds = {"data": lat_bnds[self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"],
+                                          self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"],
+                                          :]}
+
+        self.set_full_longitudes_boundaries({"data": deepcopy(lon_bnds)})
+        self.lon_bnds = {"data": lon_bnds[self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"],
+                                          self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"],
+                                          :]}
 
         return None

 
@@ -540,7 +616,7 @@
     @staticmethod
     def _set_var_crs(var):
         """
-        Set the grid_mapping to 'Lambert_Conformal'.
+        Set the grid_mapping to "Lambert_Conformal".
 
         Parameters
         ----------
@@ -548,14 +624,14 @@
             netCDF4-python variable object.
         """
 
-        var.grid_mapping = 'Lambert_Conformal'
+        var.grid_mapping = "Lambert_Conformal"
         var.coordinates = "lat lon"
 
         return None
 
     def _create_metadata(self, netcdf):
         """
-        Create the 'crs' variable for the lambert conformal grid_mapping.
+        Create the "crs" variable for the lambert conformal grid_mapping.
 
         Parameters
         ----------
@@ -564,11 +640,11 @@
         """
 
         if self.projection_data is not None:
-            mapping = netcdf.createVariable('Lambert_Conformal', 'i')
-            mapping.grid_mapping_name = self.projection_data['grid_mapping_name']
-            mapping.standard_parallel = self.projection_data['standard_parallel']
-            mapping.longitude_of_central_meridian = self.projection_data['longitude_of_central_meridian']
-            mapping.latitude_of_projection_origin = self.projection_data['latitude_of_projection_origin']
+            mapping = netcdf.createVariable("Lambert_Conformal", "i")
+            mapping.grid_mapping_name = self.projection_data["grid_mapping_name"]
+            mapping.standard_parallel = self.projection_data["standard_parallel"]
+            mapping.longitude_of_central_meridian = self.projection_data["longitude_of_central_meridian"]
+            mapping.latitude_of_projection_origin = self.projection_data["latitude_of_projection_origin"]
 
         return None
 
@@ -580,6 +656,8 @@
 
         Parameters
         ----------
+        lat_flip : bool
+            Indicates if the latitudes need to be flipped Up-Down or Down-Up. Default False.
         path : str
             Path to the output file.
         grib_keys : dict
@@ -593,11 +671,12 @@
         raise NotImplementedError("Grib2 format cannot be written in a Lambert Conformal Conic projection.")

 
 
+    # noinspection DuplicatedCode
 

 [docs]
     def create_shapefile(self):
         """
-        Create spatial geodataframe (shapefile).
+        Create spatial GeoDataFrame (shapefile).
         
         Returns
         -------
@@ -608,29 +687,27 @@
         if self.shapefile is None:
 
             # Get latitude and longitude cell boundaries
-            if self._lat_bnds is None or self._lon_bnds is None:
+            if self.lat_bnds is None or self.lon_bnds is None:
                 self.create_spatial_bounds()
 
             # Reshape arrays to create geometry
-            aux_b_lats = self.lat_bnds['data'].reshape((self.lat_bnds['data'].shape[0] * self.lat_bnds['data'].shape[1], 
-                                                        self.lat_bnds['data'].shape[2]))
-            aux_b_lons = self.lon_bnds['data'].reshape((self.lon_bnds['data'].shape[0] * self.lon_bnds['data'].shape[1], 
-                                                        self.lon_bnds['data'].shape[2]))
+            aux_b_lat = self.lat_bnds["data"].reshape((self.lat_bnds["data"].shape[0] * self.lat_bnds["data"].shape[1],
+                                                       self.lat_bnds["data"].shape[2]))
+            aux_b_lon = self.lon_bnds["data"].reshape((self.lon_bnds["data"].shape[0] * self.lon_bnds["data"].shape[1],
+                                                       self.lon_bnds["data"].shape[2]))
 
             # Get polygons from bounds
             geometry = []
-            for i in range(aux_b_lons.shape[0]):
-                geometry.append(Polygon([(aux_b_lons[i, 0], aux_b_lats[i, 0]),
-                                         (aux_b_lons[i, 1], aux_b_lats[i, 1]),
-                                         (aux_b_lons[i, 2], aux_b_lats[i, 2]),
-                                         (aux_b_lons[i, 3], aux_b_lats[i, 3]),
-                                         (aux_b_lons[i, 0], aux_b_lats[i, 0])]))
+            for i in range(aux_b_lon.shape[0]):
+                geometry.append(Polygon([(aux_b_lon[i, 0], aux_b_lat[i, 0]),
+                                         (aux_b_lon[i, 1], aux_b_lat[i, 1]),
+                                         (aux_b_lon[i, 2], aux_b_lat[i, 2]),
+                                         (aux_b_lon[i, 3], aux_b_lat[i, 3]),
+                                         (aux_b_lon[i, 0], aux_b_lat[i, 0])]))
             
-            # Create dataframe cointaining all polygons
+            # Create dataframe containing all polygons
             fids = self.get_fids()
-            gdf = gpd.GeoDataFrame(index=pd.Index(name='FID', data=fids.ravel()), 
-                                   geometry=geometry, 
-                                   crs="EPSG:4326")
+            gdf = GeoDataFrame(index=Index(name="FID", data=fids.ravel()), geometry=geometry, crs="EPSG:4326")
             self.shapefile = gdf
 
         else:
@@ -639,6 +716,7 @@
         return gdf

 
 
+    # noinspection DuplicatedCode
 

 [docs]
     def get_centroids_from_coordinates(self):
@@ -653,21 +731,18 @@
         
         # Get centroids from coordinates
         centroids = []
-        for lat_ind in range(0, self.lon['data'].shape[0]):
-            for lon_ind in range(0, self.lon['data'].shape[1]):
-                centroids.append(Point(self.lon['data'][lat_ind, lon_ind], 
-                                       self.lat['data'][lat_ind, lon_ind]))
+        for lat_ind in range(0, self.lon["data"].shape[0]):
+            for lon_ind in range(0, self.lon["data"].shape[1]):
+                centroids.append(Point(self.lon["data"][lat_ind, lon_ind], 
+                                       self.lat["data"][lat_ind, lon_ind]))
         
-        # Create dataframe cointaining all points
+        # Create dataframe containing all points
         fids = self.get_fids()
-        centroids_gdf = gpd.GeoDataFrame(index=pd.Index(name='FID', data=fids.ravel()), 
-                                         geometry=centroids,
-                                         crs="EPSG:4326")
+        centroids_gdf = GeoDataFrame(index=Index(name="FID", data=fids.ravel()), geometry=centroids, crs="EPSG:4326")
 
         return centroids_gdf

 

 
-
diff --git a/docs/build/html/_modules/nes/nc_projections/mercator_nes.html b/docs/build/html/_modules/nes/nc_projections/mercator_nes.html index 234e64b4247235f66f042ea1d919bccee4e46ce3..1d8204a5bdf5cf2eb928c9924e102c7d8fe983d9 100644 --- a/docs/build/html/_modules/nes/nc_projections/mercator_nes.html +++ b/docs/build/html/_modules/nes/nc_projections/mercator_nes.html @@ -79,14 +79,12 @@

Source code for nes.nc_projections.mercator_nes

 #!/usr/bin/env python
 
-import warnings
-import sys
-import numpy as np
-import pandas as pd
-from cfunits import Units
+from numpy import float64, linspace, array, mean, diff, append, flip, repeat, concatenate, vstack
+from geopandas import GeoDataFrame
+from pandas import Index
 from pyproj import Proj
 from copy import deepcopy
-import geopandas as gpd
+from typing import Dict, Any
 from shapely.geometry import Polygon, Point
 from nes.nc_projections.default_nes import Nes
 
@@ -98,25 +96,25 @@
 
     Attributes
     ----------
-    _y : dict
-        Y coordinates dictionary with the complete 'data' key for all the values and the rest of the attributes.
-    _x : dict
-        X coordinates dictionary with the complete 'data' key for all the values and the rest of the attributes.
+    _full_y : dict
+        Y coordinates dictionary with the complete "data" key for all the values and the rest of the attributes.
+    _full_x : dict
+        X coordinates dictionary with the complete "data" key for all the values and the rest of the attributes.
     y : dict
-        Y coordinates dictionary with the portion of 'data' corresponding to the rank values.
+        Y coordinates dictionary with the portion of "data" corresponding to the rank values.
     x : dict
-        X coordinates dictionary with the portion of 'data' corresponding to the rank values.
+        X coordinates dictionary with the portion of "data" corresponding to the rank values.
     _var_dim : tuple
-        Tuple with the name of the Y and X dimensions for the variables.
-        ('y', 'x') for a Mercator projection.
+        A Tuple with the name of the Y and X dimensions for the variables.
+        ("y", "x") for a Mercator projection.
     _lat_dim : tuple
-        Tuple with the name of the dimensions of the Latitude values.
-        ('y', 'x') for a Mercator projection.
+        A Tuple with the name of the dimensions of the Latitude values.
+        ("y", "x") for a Mercator projection.
     _lon_dim : tuple
-        Tuple with the name of the dimensions of the Longitude values.
-        ('y', 'x') for a Mercator projection.
+        A Tuple with the name of the dimensions of the Longitude values.
+        ("y", "x") for a Mercator projection.
     """
-    def __init__(self, comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y',
+    def __init__(self, comm=None, path=None, info=False, dataset=None, parallel_method="Y",
                  avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False,
                  balanced=False, times=None, **kwargs):
         """
@@ -132,11 +130,9 @@
             Indicates if you want to get reading/writing info.
         dataset: Dataset
             NetCDF4-python Dataset to initialize the class.
-        xarray: bool:
-            (Not working) Indicates if you want to use xarray as default.
         parallel_method : str
-            Indicates the parallelization method that you want. Default: 'Y'.
-            Accepted values: ['X', 'Y', 'T'].
+            Indicates the parallelization method that you want. Default: "Y".
+            Accepted values: ["X", "Y", "T"].
         avoid_first_hours : int
             Number of hours to remove from first time steps.
         avoid_last_hours : int
@@ -154,39 +150,41 @@
             List of times to substitute the current ones while creation.
 
         """
+        self._full_y = None
+        self._full_x = None
 
         super(MercatorNes, self).__init__(comm=comm, path=path, info=info, dataset=dataset,
-                                          xarray=xarray, parallel_method=parallel_method, balanced=balanced,
+                                          parallel_method=parallel_method, balanced=balanced,
                                           avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours,
                                           first_level=first_level, last_level=last_level, create_nes=create_nes,
                                           times=times, **kwargs)
 
         if create_nes:
             # Dimensions screening
-            self.lat = self._get_coordinate_values(self._lat, 'Y')
-            self.lon = self._get_coordinate_values(self._lon, 'X')
+            self.lat = self._get_coordinate_values(self.get_full_latitudes(), "Y")
+            self.lon = self._get_coordinate_values(self.get_full_longitudes(), "X")
         else:
             # Complete dimensions
-            self._y = self._get_coordinate_dimension('y')
-            self._x = self._get_coordinate_dimension('x')
+            self._full_y = self._get_coordinate_dimension("y")
+            self._full_x = self._get_coordinate_dimension("x")
         
         # Dimensions screening
-        self.y = self._get_coordinate_values(self._y, 'Y')
-        self.x = self._get_coordinate_values(self._x, 'X')
+        self.y = self._get_coordinate_values(self.get_full_y(), "Y")
+        self.x = self._get_coordinate_values(self.get_full_x(), "X")
 
         # Set axis limits for parallel writing
-        self.write_axis_limits = self.get_write_axis_limits()
+        self.write_axis_limits = self._get_write_axis_limits()
 
-        self._var_dim = ('y', 'x')
-        self._lat_dim = ('y', 'x')
-        self._lon_dim = ('y', 'x')
+        self._var_dim = ("y", "x")
+        self._lat_dim = ("y", "x")
+        self._lon_dim = ("y", "x")
 
-        self.free_vars('crs')
+        self.free_vars("crs")
 
 

 [docs]
     @staticmethod
-    def new(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y', 
+    def new(comm=None, path=None, info=False, dataset=None, parallel_method="Y",
             avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False,
             balanced=False, times=None, **kwargs):
         """
@@ -202,11 +200,9 @@
             Indicates if you want to get reading/writing info.
         dataset: Dataset
             NetCDF4-python Dataset to initialize the class.
-        xarray: bool:
-            (Not working) Indicates if you want to use xarray as default.
         parallel_method : str
-            Indicates the parallelization method that you want. Default: 'Y'.
-            Accepted values: ['X', 'Y', 'T'].
+            Indicates the parallelization method that you want. Default: "Y".
+            Accepted values: ["X", "Y", "T"].
         avoid_first_hours : int
             Number of hours to remove from first time steps.
         avoid_last_hours : int
@@ -224,7 +220,7 @@
             List of times to substitute the current ones while creation.
         """
 
-        new = MercatorNes(comm=comm, path=path, info=info, dataset=dataset, xarray=xarray, 
+        new = MercatorNes(comm=comm, path=path, info=info, dataset=dataset,
                           parallel_method=parallel_method, avoid_first_hours=avoid_first_hours,
                           avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level,
                           create_nes=create_nes, balanced=balanced, times=times, **kwargs)
@@ -232,26 +228,111 @@
         return new

 
 
-

-[docs]
-    def filter_coordinates_selection(self):
+

+[docs]
+    def get_full_y(self) -> Dict[str, Any]:
         """
-        Use the selection limits to filter y, x, time, lev, lat, lon, lon_bnds and lat_bnds.
+        Retrieve the complete Y information.
+
+        Returns
+        -------
+        Dict[str, Any]
+            A dictionary containing the complete latitude data and its attributes.
+            The dictionary structure is:
+            {
+                "data": ndarray,  # Array of latitude values.
+                attr_name: attr_value,  # Latitude attributes.
+                ...
+            }
+        """
+        data = self.comm.bcast(self._full_y)
+
+        return data

+
+
+

+[docs]
+    def get_full_x(self) -> Dict[str, Any]:
+        """
+        Retrieve the complete X information.
+
+        Returns
+        -------
+        Dict[str, Any]
+            A dictionary containing the complete longitude data and its attributes.
+            The dictionary structure is:
+            {
+                "data": ndarray,  # Array of longitude values.
+                attr_name: attr_value,  # Longitude attributes.
+                ...
+            }
         """
+        data = self.comm.bcast(self._full_x)
+        return data

+
 
-        idx = self.get_idx_intervals()
+

+[docs]
+    def set_full_y(self, data: Dict[str, Any]) -> None:
+        """
+        Set the complete Y information.
 
-        self.y = self._get_coordinate_values(self._y, 'Y')
-        self.x = self._get_coordinate_values(self._x, 'X')
+        Parameters
+        ----------
+        data : Dict[str, Any]
+            A dictionary containing the complete latitude data and its attributes.
+            The dictionary structure is:
+            {
+                "data": ndarray,  # Array of latitude values.
+                attr_name: attr_value,  # Latitude attributes.
+                ...
+            }
+        """
+        if self.master:
+            self._full_y = data
+        return None

 
-        self._y['data'] = self._y['data'][idx['idx_y_min']:idx['idx_y_max']]
-        self._x['data'] = self._x['data'][idx['idx_x_min']:idx['idx_x_max']]
 
-        super(MercatorNes, self).filter_coordinates_selection()
+

+[docs]
+    def set_full_x(self, data: Dict[str, Any]) -> None:
+        """
+        Set the complete rotated longitude information.
 
+        Parameters
+        ----------
+        data : Dict[str, Any]
+            A dictionary containing the complete longitude data and its attributes.
+            The dictionary structure is:
+            {
+                "data": ndarray,  # Array of longitude values.
+                attr_name: attr_value,  # Longitude attributes.
+                ...
+            }
+        """
+        if self.master:
+            self._full_x = data
         return None

 
 
+    # noinspection DuplicatedCode
+    def _filter_coordinates_selection(self):
+        """
+        Use the selection limits to filter y, x, time, lev, lat, lon, lon_bnds and lat_bnds.
+        """
+
+        idx = self._get_idx_intervals()
+
+        self.y = self._get_coordinate_values(self.get_full_y(), "Y")
+        self.x = self._get_coordinate_values(self.get_full_x(), "X")
+
+        self.set_full_y({'data': self.y["data"][idx["idx_y_min"]:idx["idx_y_max"]]})
+        self.set_full_x({'data': self.x["data"][idx["idx_x_min"]:idx["idx_x_max"]]})
+
+        super(MercatorNes, self)._filter_coordinates_selection()
+
+        return None
+
     def _get_pyproj_projection(self):
         """
         Get projection data as in Pyproj library.
@@ -262,64 +343,58 @@
             Grid projection.
         """
 
-        projection = Proj(proj='merc',
+        projection = Proj(proj="merc",
                           a=self.earth_radius[1],
                           b=self.earth_radius[0],
-                          lat_ts=np.float64(self.projection_data['standard_parallel']),
-                          lon_0=np.float64(self.projection_data['longitude_of_projection_origin']),
-                         )
+                          lat_ts=float64(self.projection_data["standard_parallel"]),
+                          lon_0=float64(self.projection_data["longitude_of_projection_origin"]),)
         
         return projection
-    
-    def _get_projection(self):
-        """
-        Get 'projection' and 'projection_data' from grid details.
-        """
 
-        if 'mercator' in self.variables.keys():
-            projection_data = self.variables['mercator']
-            self.free_vars('mercator')
+    # noinspection DuplicatedCode
+    def _get_projection_data(self, create_nes, **kwargs):
+        """
+        Retrieves projection data based on grid details.
 
+        Parameters
+        ----------
+        create_nes : bool
+            Flag indicating whether to create new object (True) or use existing (False).
+        **kwargs : dict
+            Additional keyword arguments for specifying projection details.
+        """
+        if create_nes:
+            projection_data = {"grid_mapping_name": "mercator",
+                               "standard_parallel": kwargs["lat_ts"],
+                               "longitude_of_projection_origin": kwargs["lon_0"],
+                               "x_0": kwargs["x_0"], "y_0": kwargs["y_0"],
+                               "inc_x": kwargs["inc_x"], "inc_y": kwargs["inc_y"],
+                               "nx": kwargs["nx"], "ny": kwargs["ny"],
+                               }
         else:
-            msg = 'There is no variable called mercator, projection has not been defined.'
-            raise RuntimeError(msg)
-
-        if 'dtype' in projection_data.keys():
-            del projection_data['dtype']
-        
-        if 'data' in projection_data.keys():
-            del projection_data['data']
-        
-        if 'dimensions' in projection_data.keys():
-            del projection_data['dimensions'] 
+            if "mercator" in self.variables.keys():
+                projection_data = self.variables["mercator"]
+                self.free_vars("mercator")
 
-        self.projection_data = projection_data
-        self.projection = self._get_pyproj_projection()
+            else:
+                msg = "There is no variable called mercator, projection has not been defined."
+                raise RuntimeError(msg)
 
-        return None
-        
-    def _create_projection(self, **kwargs):
-        """
-        Create 'projection' and 'projection_data' from projection arguments.
-        """
-
-        projection_data = {'grid_mapping_name': 'mercator',
-                           'standard_parallel': kwargs['lat_ts'], # TODO: Check if True
-                           'longitude_of_projection_origin': kwargs['lon_0'],
-                           'x_0': kwargs['x_0'], 'y_0': kwargs['y_0'],
-                           'inc_x': kwargs['inc_x'], 'inc_y': kwargs['inc_y'],
-                           'nx': kwargs['nx'], 'ny': kwargs['ny'],
-                           }
+            if "dtype" in projection_data.keys():
+                del projection_data["dtype"]
 
+            if "data" in projection_data.keys():
+                del projection_data["data"]
 
-        self.projection_data = projection_data
-        self.projection = self._get_pyproj_projection()
+            if "dimensions" in projection_data.keys():
+                del projection_data["dimensions"]
 
-        return None
+        return projection_data
 
+    # noinspection DuplicatedCode
     def _create_dimensions(self, netcdf):
         """
-        Create 'y', 'x' and 'spatial_nv' dimensions and the super dimensions 'lev', 'time', 'time_nv', 'lon' and 'lat'
+        Create "y", "x" and "spatial_nv" dimensions and the super dimensions "lev", "time", "time_nv", "lon" and "lat"
 
         Parameters
         ----------
@@ -330,18 +405,19 @@
         super(MercatorNes, self)._create_dimensions(netcdf)
 
         # Create y and x dimensions
-        netcdf.createDimension('y', len(self._y['data']))
-        netcdf.createDimension('x', len(self._x['data']))
+        netcdf.createDimension("y", len(self.get_full_y()["data"]))
+        netcdf.createDimension("x", len(self.get_full_x()["data"]))
 
         # Create spatial_nv (number of vertices) dimension
-        if (self._lat_bnds is not None) and (self._lon_bnds is not None):
-            netcdf.createDimension('spatial_nv', 4)
+        if (self.lat_bnds is not None) and (self.lon_bnds is not None):
+            netcdf.createDimension("spatial_nv", 4)
 
         return None
 
+    # noinspection DuplicatedCode
     def _create_dimension_variables(self, netcdf):
         """
-        Create the 'y' and 'x' variables.
+        Create the "y" and "x" variables.
 
         Parameters
         ----------
@@ -352,62 +428,65 @@
         super(MercatorNes, self)._create_dimension_variables(netcdf)
 
         # MERCATOR Y COORDINATES
-        y = netcdf.createVariable('y', self._y['data'].dtype, ('y',))
-        y.long_name = 'y coordinate of projection'
-        if 'units' in self._y.keys():
-            y.units = Units(self._y['units'], formatted=True).units
+        full_y = self.get_full_y()
+        y = netcdf.createVariable("y", full_y["data"].dtype, ("y",))
+        y.long_name = "y coordinate of projection"
+        if "units" in full_y.keys():
+            y.units = full_y["units"]
         else:
-            y.units = 'm'
-        y.standard_name = 'projection_y_coordinate'
+            y.units = "m"
+        y.standard_name = "projection_y_coordinate"
         if self.size > 1:
             y.set_collective(True)
-        y[:] = self._y['data']
+        y[:] = full_y["data"]
 
         # MERCATOR X COORDINATES
-        x = netcdf.createVariable('x', self._x['data'].dtype, ('x',))
-        x.long_name = 'x coordinate of projection'
-        if 'units' in self._x.keys():
-            x.units = Units(self._x['units'], formatted=True).units
+        full_x = self.get_full_x()
+        x = netcdf.createVariable("x", full_x["data"].dtype, ("x",))
+        x.long_name = "x coordinate of projection"
+        if "units" in full_x.keys():
+            x.units = full_x["units"]
         else:
-            x.units = 'm'
-        x.standard_name = 'projection_x_coordinate'
+            x.units = "m"
+        x.standard_name = "projection_x_coordinate"
         if self.size > 1:
             x.set_collective(True)
-        x[:] = self._x['data']
+        x[:] = full_x["data"]
 
         return None
 
+    # noinspection DuplicatedCode
     def _create_centre_coordinates(self, **kwargs):
         """
         Calculate centre latitudes and longitudes from grid details.
         """
-
-        # Get projection details on x
-        x_0 = np.float64(self.projection_data['x_0'])
-        inc_x = np.float64(self.projection_data['inc_x'])
-        nx = int(self.projection_data['nx'])
-
-        # Get projection details on y
-        y_0 = np.float64(self.projection_data['y_0'])
-        inc_y = np.float64(self.projection_data['inc_y'])
-        ny = int(self.projection_data['ny'])
-
-        # Create a regular grid in metres (1D)
-        self._x = {'data': np.linspace(x_0 + (inc_x / 2), 
-                                       x_0 + (inc_x / 2) + (inc_x * (nx - 1)), 
-                                       nx, dtype=np.float64)}
-        self._y = {'data': np.linspace(y_0 + (inc_y / 2), 
-                                       y_0 + (inc_y / 2) + (inc_y * (ny - 1)), 
-                                       ny, dtype=np.float64)}
-
-        # Create a regular grid in metres (1D to 2D)
-        x = np.array([self._x['data']] * len(self._y['data']))
-        y = np.array([self._y['data']] * len(self._x['data'])).T
-
-        # Calculate centre latitudes and longitudes (UTM to Mercator)
-        centre_lon, centre_lat = self.projection(x, y, inverse=True)
-
-        return {'data': centre_lat}, {'data': centre_lon}
+        if self.master:
+            # Get projection details on x
+            x_0 = float64(self.projection_data["x_0"])
+            inc_x = float64(self.projection_data["inc_x"])
+            nx = int(self.projection_data["nx"])
+
+            # Get projection details on y
+            y_0 = float64(self.projection_data["y_0"])
+            inc_y = float64(self.projection_data["inc_y"])
+            ny = int(self.projection_data["ny"])
+
+            # Create a regular grid in metres (1D)
+            self._full_x = {"data": linspace(x_0 + (inc_x / 2), x_0 + (inc_x / 2) + (inc_x * (nx - 1)), nx,
+                                             dtype=float64)}
+            self._full_y = {"data": linspace(y_0 + (inc_y / 2), y_0 + (inc_y / 2) + (inc_y * (ny - 1)), ny,
+                                             dtype=float64)}
+
+            # Create a regular grid in metres (1D to 2D)
+            x = array([self._full_x["data"]] * len(self._full_y["data"]))
+            y = array([self._full_y["data"]] * len(self._full_x["data"])).T
+
+            # Calculate centre latitudes and longitudes (UTM to Mercator)
+            centre_lon, centre_lat = self.projection(x, y, inverse=True)
+
+            return {"data": centre_lat}, {"data": centre_lon}
+        else:
+            return None, None
 
 

 [docs]
@@ -432,6 +511,7 @@
         return model_centre_lat, model_centre_lon

 
 
+    # noinspection DuplicatedCode
 

 [docs]
     def create_providentia_exp_grid_edge_coordinates(self):
@@ -447,38 +527,39 @@
         """
 
         # Get grid resolution
-        inc_x = np.abs(np.mean(np.diff(self.x['data'])))
-        inc_y = np.abs(np.mean(np.diff(self.y['data'])))
+        inc_x = abs(mean(diff(self.x["data"])))
+        inc_y = abs(mean(diff(self.y["data"])))
 
         # Get bounds for rotated coordinates
-        y_bounds = self.create_single_spatial_bounds(self.y['data'], inc_y)
-        x_bounds = self.create_single_spatial_bounds(self.x['data'], inc_x)
+        y_bounds = self._create_single_spatial_bounds(self.y["data"], inc_y)
+        x_bounds = self._create_single_spatial_bounds(self.x["data"], inc_x)
 
         # Get rotated latitudes for grid edge
-        left_edge_y = np.append(y_bounds.flatten()[::2], y_bounds.flatten()[-1])
-        right_edge_y = np.flip(left_edge_y, 0)
-        top_edge_y = np.repeat(y_bounds[-1][-1], len(self.x['data']) - 1)
-        bottom_edge_y = np.repeat(y_bounds[0][0], len(self.x['data']))
-        y_grid_edge = np.concatenate((left_edge_y, top_edge_y, right_edge_y, bottom_edge_y))
+        left_edge_y = append(y_bounds.flatten()[::2], y_bounds.flatten()[-1])
+        right_edge_y = flip(left_edge_y, 0)
+        top_edge_y = repeat(y_bounds[-1][-1], len(self.x["data"]) - 1)
+        bottom_edge_y = repeat(y_bounds[0][0], len(self.x["data"]))
+        y_grid_edge = concatenate((left_edge_y, top_edge_y, right_edge_y, bottom_edge_y))
 
         # Get rotated longitudes for grid edge
-        left_edge_x = np.repeat(x_bounds[0][0], len(self.y['data']) + 1)
+        left_edge_x = repeat(x_bounds[0][0], len(self.y["data"]) + 1)
         top_edge_x = x_bounds.flatten()[1:-1:2]
-        right_edge_x = np.repeat(x_bounds[-1][-1], len(self.y['data']) + 1)
-        bottom_edge_x = np.flip(x_bounds.flatten()[:-1:2], 0)
-        x_grid_edge = np.concatenate((left_edge_x, top_edge_x, right_edge_x, bottom_edge_x))
+        right_edge_x = repeat(x_bounds[-1][-1], len(self.y["data"]) + 1)
+        bottom_edge_x = flip(x_bounds.flatten()[:-1:2], 0)
+        x_grid_edge = concatenate((left_edge_x, top_edge_x, right_edge_x, bottom_edge_x))
 
         # Get edges for regular coordinates
         grid_edge_lon_data, grid_edge_lat_data = self.projection(x_grid_edge, y_grid_edge, inverse=True)
         
         # Create grid outline by stacking the edges in both coordinates
-        model_grid_outline = np.vstack((grid_edge_lon_data, grid_edge_lat_data)).T
-        grid_edge_lat = {'data': model_grid_outline[:,1]}
-        grid_edge_lon = {'data': model_grid_outline[:,0]}
+        model_grid_outline = vstack((grid_edge_lon_data, grid_edge_lat_data)).T
+        grid_edge_lat = {"data": model_grid_outline[:, 1]}
+        grid_edge_lon = {"data": model_grid_outline[:, 0]}
         
         return grid_edge_lat, grid_edge_lon

 
 
+    # noinspection DuplicatedCode
 

 [docs]
     def create_spatial_bounds(self):
@@ -487,31 +568,28 @@
         """
 
         # Calculate Mercator coordinates bounds
-        inc_x = np.abs(np.mean(np.diff(self._x['data'])))
-        x_bnds = self.create_single_spatial_bounds(np.array([self._x['data']] * len(self._y['data'])), 
-                                                   inc_x, spatial_nv=4)
+        full_x = self.get_full_x()
+        full_y = self.get_full_y()
+        inc_x = abs(mean(diff(full_x["data"])))
+        x_bnds = self._create_single_spatial_bounds(array([full_x["data"]] * len(full_y["data"])),
+                                                    inc_x, spatial_nv=4)
 
-        inc_y = np.abs(np.mean(np.diff(self._y['data'])))
-        y_bnds = self.create_single_spatial_bounds(np.array([self._y['data']] * len(self._x['data'])).T, 
-                                                   inc_y, spatial_nv=4, inverse=True)
+        inc_y = abs(mean(diff(full_y["data"])))
+        y_bnds = self._create_single_spatial_bounds(array([full_y["data"]] * len(full_x["data"])).T,
+                                                    inc_y, spatial_nv=4, inverse=True)
 
         # Transform Mercator bounds to regular bounds
         lon_bnds, lat_bnds = self.projection(x_bnds, y_bnds, inverse=True)
 
         # Obtain regular coordinates bounds
-        self._lat_bnds = {}
-        self._lat_bnds['data'] = deepcopy(lat_bnds)
-        self.lat_bnds = {}
-        self.lat_bnds['data'] = lat_bnds[self.read_axis_limits['y_min']:self.read_axis_limits['y_max'],
-                                         self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], 
-                                         :]
-
-        self._lon_bnds = {}
-        self._lon_bnds['data'] = deepcopy(lon_bnds)
-        self.lon_bnds = {}
-        self.lon_bnds['data'] = lon_bnds[self.read_axis_limits['y_min']:self.read_axis_limits['y_max'],
-                                         self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], 
-                                         :]
+        self.set_full_latitudes_boundaries({"data": deepcopy(lat_bnds)})
+        self.lat_bnds = {"data": lat_bnds[self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"],
+                                          self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], 
+                                          :]}
+        self.set_full_longitudes_boundaries({"data": deepcopy(lon_bnds)})
+        self.lon_bnds = {"data": lon_bnds[self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"],
+                                          self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], 
+                                          :]}
 
         return None

 
@@ -519,7 +597,7 @@
     @staticmethod
     def _set_var_crs(var):
         """
-        Set the grid_mapping to 'mercator'.
+        Set the grid_mapping to "mercator".
 
         Parameters
         ----------
@@ -527,14 +605,14 @@
             netCDF4-python variable object.
         """
         
-        var.grid_mapping = 'mercator'
+        var.grid_mapping = "mercator"
         var.coordinates = "lat lon"
 
         return None
 
     def _create_metadata(self, netcdf):
         """
-        Create the 'crs' variable for the Mercator grid_mapping.
+        Create the "crs" variable for the Mercator grid_mapping.
 
         Parameters
         ----------
@@ -543,10 +621,10 @@
         """
 
         if self.projection_data is not None:
-            mapping = netcdf.createVariable('mercator', 'i')
-            mapping.grid_mapping_name = self.projection_data['grid_mapping_name']
-            mapping.standard_parallel = self.projection_data['standard_parallel']
-            mapping.longitude_of_projection_origin = self.projection_data['longitude_of_projection_origin']
+            mapping = netcdf.createVariable("mercator", "i")
+            mapping.grid_mapping_name = self.projection_data["grid_mapping_name"]
+            mapping.standard_parallel = self.projection_data["standard_parallel"]
+            mapping.longitude_of_projection_origin = self.projection_data["longitude_of_projection_origin"]
        
         return None
 
@@ -558,6 +636,8 @@
 
         Parameters
         ----------
+        lat_flip : bool
+            Indicates if you want to flip latitudes Up-Down
         path : str
             Path to the output file.
         grib_keys : dict
@@ -571,11 +651,12 @@
         raise NotImplementedError("Grib2 format cannot be written in a Mercator projection.")

 
 
+    # noinspection DuplicatedCode
 

 [docs]
     def create_shapefile(self):
         """
-        Create spatial geodataframe (shapefile).
+        Create spatial GeoDataFrame (shapefile).
 
         Returns
         -------
@@ -586,29 +667,27 @@
         if self.shapefile is None:
             
             # Get latitude and longitude cell boundaries
-            if self._lat_bnds is None or self._lon_bnds is None:
+            if self.lat_bnds is None or self.lon_bnds is None:
                 self.create_spatial_bounds()
 
             # Reshape arrays to create geometry
-            aux_b_lats = self.lat_bnds['data'].reshape((self.lat_bnds['data'].shape[0] * self.lat_bnds['data'].shape[1], 
-                                                        self.lat_bnds['data'].shape[2]))
-            aux_b_lons = self.lon_bnds['data'].reshape((self.lon_bnds['data'].shape[0] * self.lon_bnds['data'].shape[1], 
-                                                        self.lon_bnds['data'].shape[2]))
+            aux_b_lat = self.lat_bnds["data"].reshape((self.lat_bnds["data"].shape[0] * self.lat_bnds["data"].shape[1],
+                                                       self.lat_bnds["data"].shape[2]))
+            aux_b_lon = self.lon_bnds["data"].reshape((self.lon_bnds["data"].shape[0] * self.lon_bnds["data"].shape[1],
+                                                       self.lon_bnds["data"].shape[2]))
 
             # Get polygons from bounds
             geometry = []
-            for i in range(aux_b_lons.shape[0]):
-                geometry.append(Polygon([(aux_b_lons[i, 0], aux_b_lats[i, 0]),
-                                         (aux_b_lons[i, 1], aux_b_lats[i, 1]),
-                                         (aux_b_lons[i, 2], aux_b_lats[i, 2]),
-                                         (aux_b_lons[i, 3], aux_b_lats[i, 3]),
-                                         (aux_b_lons[i, 0], aux_b_lats[i, 0])]))
+            for i in range(aux_b_lon.shape[0]):
+                geometry.append(Polygon([(aux_b_lon[i, 0], aux_b_lat[i, 0]),
+                                         (aux_b_lon[i, 1], aux_b_lat[i, 1]),
+                                         (aux_b_lon[i, 2], aux_b_lat[i, 2]),
+                                         (aux_b_lon[i, 3], aux_b_lat[i, 3]),
+                                         (aux_b_lon[i, 0], aux_b_lat[i, 0])]))
             
-            # Create dataframe cointaining all polygons
+            # Create dataframe containing all polygons
             fids = self.get_fids()
-            gdf = gpd.GeoDataFrame(index=pd.Index(name='FID', data=fids.ravel()), 
-                                   geometry=geometry, 
-                                   crs="EPSG:4326")
+            gdf = GeoDataFrame(index=Index(name="FID", data=fids.ravel()), geometry=geometry, crs="EPSG:4326")
             self.shapefile = gdf
 
         else:
@@ -617,6 +696,7 @@
         return gdf

 
 
+    # noinspection DuplicatedCode
 

 [docs]
     def get_centroids_from_coordinates(self):
@@ -631,16 +711,14 @@
         
         # Get centroids from coordinates
         centroids = []
-        for lat_ind in range(0, self.lon['data'].shape[0]):
-            for lon_ind in range(0, self.lon['data'].shape[1]):
-                centroids.append(Point(self.lon['data'][lat_ind, lon_ind], 
-                                       self.lat['data'][lat_ind, lon_ind]))
+        for lat_ind in range(0, self.lon["data"].shape[0]):
+            for lon_ind in range(0, self.lon["data"].shape[1]):
+                centroids.append(Point(self.lon["data"][lat_ind, lon_ind], 
+                                       self.lat["data"][lat_ind, lon_ind]))
         
-        # Create dataframe cointaining all points
+        # Create dataframe containing all points
         fids = self.get_fids()
-        centroids_gdf = gpd.GeoDataFrame(index=pd.Index(name='FID', data=fids.ravel()), 
-                                         geometry=centroids,
-                                         crs="EPSG:4326")
+        centroids_gdf = GeoDataFrame(index=Index(name="FID", data=fids.ravel()), geometry=centroids, crs="EPSG:4326")
 
         return centroids_gdf
diff --git a/docs/build/html/_modules/nes/nc_projections/points_nes.html b/docs/build/html/_modules/nes/nc_projections/points_nes.html index 03a2900ba75617ab59e6d07d4cb7538abb2d37de..75aa88943de4da04e12b1d257799013d234cbaa5 100644 --- a/docs/build/html/_modules/nes/nc_projections/points_nes.html +++ b/docs/build/html/_modules/nes/nc_projections/points_nes.html @@ -80,12 +80,13 @@ #!/usr/bin/env python import sys -import warnings -import numpy as np -import pandas as pd +from warnings import warn +from numpy import float64, arange, array, ndarray, generic, issubdtype, character, concatenate +from pandas import Index +from geopandas import GeoDataFrame, points_from_xy +from pyproj import Proj from copy import deepcopy -import geopandas as gpd -from netCDF4 import date2num, stringtochar +from netCDF4 import date2num from .default_nes import Nes @@ -97,39 +98,38 @@ Attributes ---------- _var_dim : tuple - Tuple with the name of the Y and X dimensions for the variables. - ('lat', 'lon') for a points grid. + A Tuple with the name of the Y and X dimensions for the variables. + ("lat", "lon", ) for a points grid. _lat_dim : tuple - Tuple with the name of the dimensions of the Latitude values. - ('lat',) for a points grid. + A Tuple with the name of the dimensions of the Latitude values. + ("lat", ) for a points grid. _lon_dim : tuple - Tuple with the name of the dimensions of the Longitude values. - ('lon',) for a points grid. + A Tuple with the name of the dimensions of the Longitude values. + ("lon", ) for a points grid. _station : tuple - Tuple with the name of the dimensions of the station values. - ('station',) for a points grid. + A Tuple with the name of the dimensions of the station values. + ("station", ) for a points grid. """ - def __init__(self, comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='X', - avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, + + def __init__(self, comm=None, path=None, info=False, dataset=None, parallel_method="X", + avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs): """ Initialize the PointsNes class. Parameters ---------- - comm: MPI.Communicator + comm: MPI.Comm MPI Communicator. path: str Path to the NetCDF to initialize the object. info: bool Indicates if you want to get reading/writing info. - dataset: Dataset, None + dataset: Dataset or None NetCDF4-python Dataset to initialize the class. - xarray: bool - (Not working) Indicates if you want to use xarray as default. parallel_method : str - Indicates the parallelization method that you want. Default: 'X'. - accepted values: ['X', 'T']. + Indicates the parallelization method that you want. Default: "X". + accepted values: ["X", "T"]. strlen: int Maximum length of strings in NetCDF. Default: 75. avoid_first_hours : int @@ -150,33 +150,33 @@ """ super(PointsNes, self).__init__(comm=comm, path=path, info=info, dataset=dataset, - xarray=xarray, parallel_method=parallel_method, + parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, create_nes=create_nes, - times=times, **kwargs) + times=times, balanced=balanced, **kwargs) if create_nes: # Dimensions screening - self.lat = self._get_coordinate_values(self._lat, 'X') - self.lon = self._get_coordinate_values(self._lon, 'X') + self.lat = self._get_coordinate_values(self.get_full_latitudes(), "X") + self.lon = self._get_coordinate_values(self.get_full_longitudes(), "X") # Complete dimensions - self._station = {'data': np.arange(len(self._lon['data']))} + self._station = {"data": arange(len(self.get_full_longitudes()["data"]))} # Dimensions screening - self.station = self._get_coordinate_values(self._station, 'X') + self.station = self._get_coordinate_values(self._station, "X") # Set axis limits for parallel writing - self.write_axis_limits = self.get_write_axis_limits() + self.write_axis_limits = self._get_write_axis_limits() - self._var_dim = ('station',) - self._lat_dim = ('station',) - self._lon_dim = ('station',) + self._var_dim = ("station",) + self._lat_dim = ("station",) + self._lon_dim = ("station",)
[docs] @staticmethod - def new(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='X', + def new(comm=None, path=None, info=False, dataset=None, parallel_method="X", avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs): """ @@ -192,11 +192,9 @@ Indicates if you want to get reading/writing info. dataset: Dataset NetCDF4-python Dataset to initialize the class. - xarray: bool: - (Not working) Indicates if you want to use xarray as default. parallel_method : str - Indicates the parallelization method that you want. Default: 'X'. - accepted values: ['X', 'T']. + Indicates the parallelization method that you want. Default: "X". + accepted values: ["X", "T"]. avoid_first_hours : int Number of hours to remove from first time steps. avoid_last_hours : int @@ -214,7 +212,7 @@ List of times to substitute the current ones while creation. """ - new = PointsNes(comm=comm, path=path, info=info, dataset=dataset, xarray=xarray, + new = PointsNes(comm=comm, path=path, info=info, dataset=dataset, parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, create_nes=create_nes, balanced=balanced, times=times, **kwargs) @@ -222,29 +220,38 @@ return new
- def _get_projection(self): + @staticmethod + def _get_pyproj_projection(): """ - Get 'projection' and 'projection_data' from grid details. + Get projection data as in Pyproj library. + + Returns + ---------- + projection : pyproj.Proj + Grid projection. """ - self.projection_data = None - self.projection = None + projection = Proj(proj="latlong", ellps="WGS84",) - return None + return projection - def _create_projection(self, **kwargs): + def _get_projection_data(self, create_nes, **kwargs): """ - Create 'projection' and 'projection_data' from projection arguments. - """ + Retrieves projection data based on grid details. - self.projection_data = None - self.projection = None + Parameters + ---------- + create_nes : bool + Flag indicating whether to create new object (True) or use existing (False). + **kwargs : dict + Additional keyword arguments for specifying projection details. + """ return None - + def _create_dimensions(self, netcdf): """ - Create 'time', 'time_nv', 'station' and 'strlen' dimensions. + Create "time", "time_nv", "station" and "strlen" dimensions. Parameters ---------- @@ -253,25 +260,26 @@ """ # Create time dimension - netcdf.createDimension('time', None) + netcdf.createDimension("time", None) # Create time_nv (number of vertices) dimension - if self._time_bnds is not None: - netcdf.createDimension('time_nv', 2) + if self.time_bnds is not None: + netcdf.createDimension("time_nv", 2) # Create station dimension # The number of longitudes is equal to the number of stations - netcdf.createDimension('station', len(self._lon['data'])) + netcdf.createDimension("station", len(self.get_full_longitudes()["data"])) # Create string length dimension if self.strlen is not None: - netcdf.createDimension('strlen', self.strlen) + netcdf.createDimension("strlen", self.strlen) return None + # noinspection DuplicatedCode def _create_dimension_variables(self, netcdf): """ - Create the 'time', 'time_bnds', 'station', 'lat', 'lat_bnds', 'lon' and 'lon_bnds' variables. + Create the "time", "time_bnds", "station", "lat", "lat_bnds", "lon" and "lon_bnds" variables. Parameters ---------- @@ -280,67 +288,66 @@ """ # TIMES - time_var = netcdf.createVariable('time', np.float64, ('time',), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - time_var.units = 'hours since {0}'.format( - self._time[self.get_time_id(self.hours_start, first=True)].strftime('%Y-%m-%d %H:%M:%S')) - time_var.standard_name = 'time' - time_var.calendar = 'standard' - time_var.long_name = 'time' - if self._time_bnds is not None: - time_var.bounds = 'time_bnds' + time_var = netcdf.createVariable("time", float64, ("time",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) + time_var.units = "hours since {0}".format( + self.get_full_times()[self._get_time_id(self.hours_start, first=True)].strftime("%Y-%m-%d %H:%M:%S")) + time_var.standard_name = "time" + time_var.calendar = "standard" + time_var.long_name = "time" + if self.time_bnds is not None: + time_var.bounds = "time_bnds" if self.size > 1: time_var.set_collective(True) - time_var[:] = date2num(self._time[self.get_time_id(self.hours_start, first=True): - self.get_time_id(self.hours_end, first=False)], + time_var[:] = date2num(self.get_full_times()[self._get_time_id(self.hours_start, first=True): + self._get_time_id(self.hours_end, first=False)], time_var.units, time_var.calendar) # TIME BOUNDS - if self._time_bnds is not None: - time_bnds_var = netcdf.createVariable('time_bnds', np.float64, ('time', 'time_nv',), zlib=self.zip_lvl, + if self.time_bnds is not None: + time_bnds_var = netcdf.createVariable("time_bnds", float64, ("time", "time_nv",), zlib=self.zip_lvl, complevel=self.zip_lvl) if self.size > 1: time_bnds_var.set_collective(True) - time_bnds_var[:] = date2num(self._time_bnds, time_var.units, calendar='standard') + time_bnds_var[:] = date2num(self.get_full_time_bnds(), time_var.units, calendar="standard") # STATIONS - stations = netcdf.createVariable('station', np.float64, ('station',), zlib=self.zip_lvl > 0, + stations = netcdf.createVariable("station", float64, ("station",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - stations.units = '' - stations.axis = 'X' - stations.long_name = '' - stations.standard_name = 'station' + stations.units = "" + stations.axis = "X" + stations.long_name = "" + stations.standard_name = "station" if self.size > 1: stations.set_collective(True) - stations[:] = self._station['data'] + stations[:] = self._station["data"] # LATITUDES - lat = netcdf.createVariable('lat', np.float64, self._lat_dim, - zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - lat.units = 'degrees_north' - lat.axis = 'Y' - lat.long_name = 'latitude coordinate' - lat.standard_name = 'latitude' - if self._lat_bnds is not None: - lat.bounds = 'lat_bnds' + lat = netcdf.createVariable("lat", float64, self._lat_dim, zlib=self.zip_lvl > 0, complevel=self.zip_lvl) + lat.units = "degrees_north" + lat.axis = "Y" + lat.long_name = "latitude coordinate" + lat.standard_name = "latitude" + if self.lat_bnds is not None: + lat.bounds = "lat_bnds" if self.size > 1: lat.set_collective(True) - lat[:] = self._lat['data'] + lat[:] = self.get_full_latitudes()["data"] # LONGITUDES - lon = netcdf.createVariable('lon', np.float64, self._lon_dim, - zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - lon.units = 'degrees_east' - lon.axis = 'X' - lon.long_name = 'longitude coordinate' - lon.standard_name = 'longitude' - if self._lon_bnds is not None: - lon.bounds = 'lon_bnds' + lon = netcdf.createVariable("lon", float64, self._lon_dim, zlib=self.zip_lvl > 0, complevel=self.zip_lvl) + lon.units = "degrees_east" + lon.axis = "X" + lon.long_name = "longitude coordinate" + lon.standard_name = "longitude" + if self.lon_bnds is not None: + lon.bounds = "lon_bnds" if self.size > 1: lon.set_collective(True) - lon[:] = self._lon['data'] + lon[:] = self.get_full_longitudes()["data"] return None + # noinspection DuplicatedCode def _get_coordinate_values(self, coordinate_info, coordinate_axis, bounds=False): """ Get the coordinate data of the current portion. @@ -348,9 +355,9 @@ Parameters ---------- coordinate_info : dict, list - Dictionary with the 'data' key with the coordinate variable values. and the attributes as other keys. + Dictionary with the "data" key with the coordinate variable values. and the attributes as other keys. coordinate_axis : str - Name of the coordinate to extract. Accepted values: ['X']. + Name of the coordinate to extract. Accepted values: ["X"]. bounds : bool Boolean variable to know if there are coordinate bounds. Returns @@ -363,23 +370,23 @@ return None if not isinstance(coordinate_info, dict): - values = {'data': deepcopy(coordinate_info)} + values = {"data": deepcopy(coordinate_info)} else: values = deepcopy(coordinate_info) - coordinate_len = len(values['data'].shape) + coordinate_len = len(values["data"].shape) if bounds: coordinate_len -= 1 - if coordinate_axis == 'X': + if coordinate_axis == "X": if coordinate_len == 1: - values['data'] = values['data'][self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] + values["data"] = values["data"][self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] elif coordinate_len == 2: - values['data'] = values['data'][self.read_axis_limits['t_min']:self.read_axis_limits['t_max'], - self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] + values["data"] = values["data"][self.read_axis_limits["t_min"]:self.read_axis_limits["t_max"], + self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] else: raise NotImplementedError("The coordinate has wrong dimensions: {dim}".format( - dim=values['data'].shape)) + dim=values["data"].shape)) return values @@ -394,24 +401,23 @@ Returns ------- - data: np.array + data: array Portion of the variable data corresponding to the rank. """ - nc_var = self.netcdf.variables[var_name] + nc_var = self.dataset.variables[var_name] var_dims = nc_var.dimensions # Read data in 1 or 2 dimensions if len(var_dims) < 2: - data = nc_var[self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] + data = nc_var[self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] elif len(var_dims) == 2: - if 'strlen' in var_dims: - data = nc_var[self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], :] - data = np.array([''.join(i.tostring().decode('ascii').replace('\x00', '')) for i in data], - dtype=np.object) + if "strlen" in var_dims: + data = nc_var[self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"], :] + data = array(["".join(i.tobytes().decode("ascii").replace("\x00", "")) for i in data], dtype=object) else: - data = nc_var[self.read_axis_limits['t_min']:self.read_axis_limits['t_max'], - self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] + data = nc_var[self.read_axis_limits["t_min"]:self.read_axis_limits["t_max"], + self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] else: raise NotImplementedError("Error with {0}. Only can be read netCDF with 2 dimensions or less".format( var_name)) @@ -421,6 +427,7 @@ return data + # noinspection DuplicatedCode def _create_variables(self, netcdf, chunking=False): """ Create the netCDF file variables. @@ -436,52 +443,52 @@ if self.variables is not None: for i, (var_name, var_dict) in enumerate(self.variables.items()): # Get data type - if 'dtype' in var_dict.keys(): - var_dtype = var_dict['dtype'] - if (var_dict['data'] is not None) and (var_dtype != var_dict['data'].dtype): + if "dtype" in var_dict.keys(): + var_dtype = var_dict["dtype"] + if (var_dict["data"] is not None) and (var_dtype != var_dict["data"].dtype): msg = "WARNING!!! " msg += "Different data types for variable {0}. ".format(var_name) - msg += "Input dtype={0}. Data dtype={1}.".format(var_dtype, var_dict['data'].dtype) - warnings.warn(msg) + msg += "Input dtype={0}. Data dtype={1}.".format(var_dtype, var_dict["data"].dtype) + warn(msg) sys.stderr.flush() try: - var_dict['data'] = var_dict['data'].astype(var_dtype) - except Exception as e: # TODO: Detect exception - raise e("It was not possible to cast the data to the input dtype.") + var_dict["data"] = var_dict["data"].astype(var_dtype) + except Exception: # TODO: Detect exception + raise TypeError("It was not possible to cast the data to the input dtype.") else: - var_dtype = var_dict['data'].dtype - if var_dtype is np.object: - raise TypeError("Data dtype is np.object. Define dtype explicitly as dictionary key 'dtype'") + var_dtype = var_dict["data"].dtype + if var_dtype is object: + raise TypeError("Data dtype is object. Define dtype explicitly as dictionary key 'dtype'") # Get dimensions when reading datasets - if 'dimensions' in var_dict.keys(): - var_dims = var_dict['dimensions'] + if "dimensions" in var_dict.keys(): + var_dims = var_dict["dimensions"] # Get dimensions when creating new datasets else: - if len(var_dict['data'].shape) == 1: + if len(var_dict["data"].shape) == 1: # For data that depends only on station (e.g. station_code) var_dims = self._var_dim else: # For data that is dependent on time and station (e.g. PM10) - var_dims = ('time',) + self._var_dim + var_dims = ("time",) + self._var_dim - if var_dict['data'] is not None: + if var_dict["data"] is not None: # Ensure data is of type numpy array (to create NES) - if not isinstance(var_dict['data'], (np.ndarray, np.generic)): + if not isinstance(var_dict["data"], (ndarray, generic)): try: - var_dict['data'] = np.array(var_dict['data']) + var_dict["data"] = array(var_dict["data"]) except AttributeError: raise AttributeError("Data for variable {0} must be a numpy array.".format(var_name)) # Convert list of strings to chars for parallelization - if np.issubdtype(var_dtype, np.character): - var_dict['data_aux'] = self.str2char(var_dict['data']) - var_dims += ('strlen',) - var_dtype = 'S1' - + if issubdtype(var_dtype, character): + var_dict["data_aux"] = self._str2char(var_dict["data"]) + var_dims += ("strlen",) + var_dtype = "S1" + if self.info: - print('Rank {0:03d}: Writing {1} var ({2}/{3})'.format(self.rank, var_name, i + 1, + print("Rank {0:03d}: Writing {1} var ({2}/{3})".format(self.rank, var_name, i + 1, len(self.variables))) if not chunking: var = netcdf.createVariable(var_name, var_dtype, var_dims, @@ -490,82 +497,86 @@ if self.balanced: raise NotImplementedError("A balanced data cannot be chunked.") if self.master: - chunk_size = var_dict['data'].shape + chunk_size = var_dict["data"].shape else: chunk_size = None chunk_size = self.comm.bcast(chunk_size, root=0) var = netcdf.createVariable(var_name, var_dtype, var_dims, - zlib=self.zip_lvl > 0, complevel=self.zip_lvl, + zlib=self.zip_lvl > 0, complevel=self.zip_lvl, chunksizes=chunk_size) if self.info: - print('Rank {0:03d}: Var {1} created ({2}/{3})'.format( + print("Rank {0:03d}: Var {1} created ({2}/{3})".format( self.rank, var_name, i + 1, len(self.variables))) if self.size > 1: var.set_collective(True) if self.info: - print('Rank {0:03d}: Var {1} collective ({2}/{3})'.format( + print("Rank {0:03d}: Var {1} collective ({2}/{3})".format( self.rank, var_name, i + 1, len(self.variables))) - + for att_name, att_value in var_dict.items(): - if att_name == 'data': + if att_name == "data": if self.info: print("Rank {0:03d}: Filling {1})".format(self.rank, var_name)) - if 'data_aux' in var_dict.keys(): - att_value = var_dict['data_aux'] + if "data_aux" in var_dict.keys(): + att_value = var_dict["data_aux"] if len(att_value.shape) == 1: try: - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max']] = att_value + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]] = att_value except IndexError: raise IndexError("Different shapes. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max']].shape, + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]].shape, att_value.shape)) except ValueError: - raise ValueError("Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max']].shape, - att_value.shape)) + raise ValueError("Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]].shape, + att_value.shape)) elif len(att_value.shape) == 2: - if 'strlen' in var_dims: + if "strlen" in var_dims: try: - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], :] = att_value + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :] = att_value except IndexError: raise IndexError("Different shapes. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], :].shape, + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :].shape, att_value.shape)) except ValueError: - raise ValueError("Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], :].shape, - att_value.shape)) + raise ValueError( + "Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( + var[self.write_axis_limits["x_min"]: + self.write_axis_limits["x_max"]].shape, + att_value.shape)) else: try: - var[self.write_axis_limits['t_min']:self.write_axis_limits['t_max'], - self.write_axis_limits['x_min']:self.write_axis_limits['x_max']] = att_value + var[self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], + self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]] = att_value except IndexError: + out_shape = var[self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], + self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]].shape raise IndexError("Different shapes. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['t_min']:self.write_axis_limits['t_max'], - self.write_axis_limits['x_min']:self.write_axis_limits['x_max']].shape, - att_value.shape)) + out_shape, att_value.shape)) except ValueError: + out_shape = var[self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], + self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]].shape raise ValueError("Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['t_min']:self.write_axis_limits['t_max'], - self.write_axis_limits['x_min']:self.write_axis_limits['x_max']].shape, - att_value.shape)) + out_shape, att_value.shape)) + if self.info: - print('Rank {0:03d}: Var {1} data ({2}/{3})'.format(self.rank, var_name, i + 1, + print("Rank {0:03d}: Var {1} data ({2}/{3})".format(self.rank, var_name, i + 1, len(self.variables))) - elif att_name not in ['chunk_size', 'var_dims', 'dimensions', 'dtype', 'data_aux']: + elif att_name not in ["chunk_size", "var_dims", "dimensions", "dtype", "data_aux"]: var.setncattr(att_name, att_value) - if 'data_aux' in var_dict.keys(): - del var_dict['data_aux'] - + if "data_aux" in var_dict.keys(): + del var_dict["data_aux"] + self._set_var_crs(var) if self.info: - print('Rank {0:03d}: Var {1} completed ({2}/{3})'.format(self.rank, var_name, i + 1, + print("Rank {0:03d}: Var {1} completed ({2}/{3})".format(self.rank, var_name, i + 1, len(self.variables))) - + return None + # noinspection DuplicatedCode def _gather_data(self, data_to_gather): """ Gather all the variable data into the MPI rank 0 to perform a serial write. @@ -579,36 +590,34 @@ for var_name, var_info in data_list.items(): try: # noinspection PyArgumentList - data_aux = self.comm.gather(data_list[var_name]['data'], root=0) + data_aux = self.comm.gather(data_list[var_name]["data"], root=0) if self.rank == 0: - shp_len = len(data_list[var_name]['data'].shape) - if self.parallel_method == 'X': + shp_len = len(data_list[var_name]["data"].shape) + if self.parallel_method == "X": # concatenate over station if shp_len == 1: # dimensions = (station) axis = 0 elif shp_len == 2: - if 'strlen' in var_info['dimensions']: + if "strlen" in var_info["dimensions"]: # dimensions = (station, strlen) axis = 0 else: # dimensions = (time, station) - axis = 1 + axis = 1 else: msg = "The points NetCDF must have " msg += "surface values (without levels)." raise NotImplementedError(msg) - elif self.parallel_method == 'T': + elif self.parallel_method == "T": # concatenate over time - if shp_len == 1: + if shp_len == 1: # dimensions = (station) axis = None - continue elif shp_len == 2: - if 'strlen' in var_info['dimensions']: + if "strlen" in var_info["dimensions"]: # dimensions = (station, strlen) axis = None - continue else: # dimensions = (time, station) axis = 0 @@ -616,20 +625,18 @@ msg = "The points NetCDF must only have surface values (without levels)." raise NotImplementedError(msg) else: - raise NotImplementedError( + raise NotImplementedError( "Parallel method '{meth}' is not implemented. Use one of these: {accept}".format( - meth=self.parallel_method, accept=['X', 'T'])) - data_list[var_name]['data'] = np.concatenate(data_aux, axis=axis) + meth=self.parallel_method, accept=["X", "T"])) + data_list[var_name]["data"] = concatenate(data_aux, axis=axis) except Exception as e: - msg = "**ERROR** an error has occurred while gathering the '{0}' variable.\n".format(var_name) + msg = f"**ERROR** an error has occurred while gathering the '{var_name}' variable.\n" print(msg) sys.stderr.write(msg) print(e) sys.stderr.write(str(e)) - # print(e, file=sys.stderr) sys.stderr.flush() self.comm.Abort(1) - raise e return data_list @@ -644,12 +651,12 @@ """ # Calculate centre latitudes - centre_lat = kwargs['lat'] + centre_lat = kwargs["lat"] # Calculate centre longitudes - centre_lon = kwargs['lon'] + centre_lon = kwargs["lon"] - return {'data': centre_lat}, {'data': centre_lon} + return {"data": centre_lat}, {"data": centre_lon} def _create_metadata(self, netcdf): """ @@ -659,7 +666,7 @@ ---------- netcdf : Dataset NetCDF object. - """ + """ return None @@ -687,36 +694,36 @@ from .points_nes_providentia import PointsNesProvidentia - points_nes_providentia = PointsNesProvidentia(comm=self.comm, - info=self.info, - balanced=self.balanced, - parallel_method=self.parallel_method, - avoid_first_hours=self.hours_start, - avoid_last_hours=self.hours_end, - first_level=self.first_level, - last_level=self.last_level, + points_nes_providentia = PointsNesProvidentia(comm=self.comm, + info=self.info, + balanced=self.balanced, + parallel_method=self.parallel_method, + avoid_first_hours=self.hours_start, + avoid_last_hours=self.hours_end, + first_level=self.first_level, + last_level=self.last_level, create_nes=True, times=self.time, model_centre_lon=model_centre_lon, model_centre_lat=model_centre_lat, grid_edge_lon=grid_edge_lon, grid_edge_lat=grid_edge_lat, - lat=self.lat['data'], - lon=self.lon['data'] + lat=self.lat["data"], + lon=self.lon["data"] ) - + # Convert dimensions (time, lev, lat, lon) to (station, time) for interpolated variables and reshape data variables = {} interpolated_variables = deepcopy(self.variables) for var_name, var_info in interpolated_variables.items(): variables[var_name] = {} - # ('time', 'lev', 'lat', 'lon') or ('time', 'lat', 'lon') to ('station', 'time') - if len(var_info['dimensions']) != len(var_info['data'].shape): - variables[var_name]['data'] = var_info['data'].T - variables[var_name]['dimensions'] = ('station', 'time') + # ("time", "lev", "lat", "lon") or ("time", "lat", "lon") to ("station", "time") + if len(var_info["dimensions"]) != len(var_info["data"].shape): + variables[var_name]["data"] = var_info["data"].T + variables[var_name]["dimensions"] = ("station", "time") else: - variables[var_name]['data'] = var_info['data'] - variables[var_name]['dimensions'] = var_info['dimensions'] + variables[var_name]["data"] = var_info["data"] + variables[var_name]["dimensions"] = var_info["dimensions"] # Set variables points_nes_providentia.variables = variables @@ -732,6 +739,8 @@ Parameters ---------- + lat_flip : bool + Indicates if you want to flip the latitude direction. path : str Path to the output file. grib_keys : dict @@ -749,7 +758,7 @@ [docs] def create_shapefile(self): """ - Create spatial geodataframe (shapefile). + Create spatial GeoDataFrame (shapefile). Returns ------- @@ -759,13 +768,13 @@ if self.shapefile is None: - # Create dataframe cointaining all points + # Create dataframe containing all points gdf = self.get_centroids_from_coordinates() self.shapefile = gdf else: gdf = self.shapefile - + return gdf @@ -780,17 +789,17 @@ centroids_gdf: GeoPandasDataFrame Centroids dataframe. """ - + # Get centroids from coordinates - centroids = gpd.points_from_xy(self.lon['data'], self.lat['data']) - - # Create dataframe cointaining all points - fids = np.arange(len(self._lon['data'])) - fids = fids[self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] - centroids_gdf = gpd.GeoDataFrame(index=pd.Index(name='FID', data=fids), - geometry=centroids, - crs="EPSG:4326") - + centroids = points_from_xy(self.lon["data"], self.lat["data"]) + + # Create dataframe containing all points + fids = arange(len(self.get_full_longitudes()["data"])) + fids = fids[self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] + centroids_gdf = GeoDataFrame(index=Index(name="FID", data=fids), + geometry=centroids, + crs="EPSG:4326") + return centroids_gdf @@ -809,25 +818,25 @@ """ if idx_lev != 0: - msg = 'Error: Points dataset has no level (Level: {0}).'.format(idx_lev) + msg = "Error: Points dataset has no level (Level: {0}).".format(idx_lev) raise ValueError(msg) for var_name in var_list: # station as dimension - if len(self.variables[var_name]['dimensions']) == 1: - self.shapefile[var_name] = self.variables[var_name]['data'][:].ravel() + if len(self.variables[var_name]["dimensions"]) == 1: + self.shapefile[var_name] = self.variables[var_name]["data"][:].ravel() # station and time as dimensions else: - self.shapefile[var_name] = self.variables[var_name]['data'][idx_time, :].ravel() + self.shapefile[var_name] = self.variables[var_name]["data"][idx_time, :].ravel() return None @staticmethod def _get_axis_index_(axis): - if axis == 'T': + if axis == "T": value = 0 - elif axis == 'X': + elif axis == "X": value = 1 else: raise ValueError("Unknown axis: {0}".format(axis)) diff --git a/docs/build/html/_modules/nes/nc_projections/points_nes_ghost.html b/docs/build/html/_modules/nes/nc_projections/points_nes_ghost.html index 4507f8fc6ab41bcacf46e3a82cd66c6878649443..0a81d28ac7cb3fb8fad1b02c8c6a08b38d5ee31e 100644 --- a/docs/build/html/_modules/nes/nc_projections/points_nes_ghost.html +++ b/docs/build/html/_modules/nes/nc_projections/points_nes_ghost.html @@ -80,9 +80,9 @@ #!/usr/bin/env python import sys -import warnings -import numpy as np -from netCDF4 import stringtochar, date2num +from warnings import warn +from numpy import float64, empty, ndarray, generic, array, issubdtype, character, concatenate, int64 +from netCDF4 import date2num from copy import deepcopy from .points_nes import PointsNes @@ -95,18 +95,18 @@ Attributes ---------- _qa : dict - Quality flags (GHOST checks) dictionary with the complete 'data' key for all the values and the rest of the + Quality flags (GHOST checks) dictionary with the complete "data" key for all the values and the rest of the attributes. _flag : dict - Data flags (given by data provider) dictionary with the complete 'data' key for all the values and the rest of + Data flags (given by data provider) dictionary with the complete "data" key for all the values and the rest of the attributes. _qa : dict - Quality flags (GHOST checks) dictionary with the portion of 'data' corresponding to the rank values. + Quality flags (GHOST checks) dictionary with the portion of "data" corresponding to the rank values. _flag : dict - Data flags (given by data provider) dictionary with the portion of 'data' corresponding to the rank values. + Data flags (given by data provider) dictionary with the portion of "data" corresponding to the rank values. """ - def __init__(self, comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='X', + def __init__(self, comm=None, path=None, info=False, dataset=None, parallel_method="X", avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs): """ @@ -122,11 +122,9 @@ Indicates if you want to get reading/writing info. dataset: Dataset NetCDF4-python Dataset to initialize the class. - xarray: bool: - (Not working) Indicates if you want to use xarray as default. parallel_method : str - Indicates the parallelization method that you want. Default: 'X'. - Accepted values: ['X']. + Indicates the parallelization method that you want. Default: "X". + Accepted values: ["X"]. avoid_first_hours : int Number of hours to remove from first time steps. avoid_last_hours : int @@ -145,23 +143,23 @@ """ super(PointsNesGHOST, self).__init__(comm=comm, path=path, info=info, dataset=dataset, - xarray=xarray, parallel_method=parallel_method, + parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, create_nes=create_nes, - times=times, **kwargs) + times=times, balanced=balanced, **kwargs) # Complete dimensions - self._flag = self._get_coordinate_dimension(['flag']) - self._qa = self._get_coordinate_dimension(['qa']) + self._flag = self._get_coordinate_dimension(["flag"]) + self._qa = self._get_coordinate_dimension(["qa"]) # Dimensions screening - self.flag = self._get_coordinate_values(self._flag, 'X') - self.qa = self._get_coordinate_values(self._qa, 'X') + self.flag = self._get_coordinate_values(self._flag, "X") + self.qa = self._get_coordinate_values(self._qa, "X")
[docs] @staticmethod - def new(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='X', + def new(comm=None, path=None, info=False, dataset=None, parallel_method="X", avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs): """ @@ -177,11 +175,9 @@ Indicates if you want to get reading/writing info. dataset: Dataset NetCDF4-python Dataset to initialize the class. - xarray: bool: - (Not working) Indicates if you want to use xarray as default. parallel_method : str - Indicates the parallelization method that you want. Default: 'X'. - Accepted values: ['X']. + Indicates the parallelization method that you want. Default: "X". + Accepted values: ["X"]. avoid_first_hours : int Number of hours to remove from first time steps. avoid_last_hours : int @@ -199,7 +195,7 @@ List of times to substitute the current ones while creation. """ - new = PointsNesGHOST(comm=comm, path=path, info=info, dataset=dataset, xarray=xarray, + new = PointsNesGHOST(comm=comm, path=path, info=info, dataset=dataset, parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, create_nes=create_nes, balanced=balanced, times=times, **kwargs) @@ -209,8 +205,8 @@ def _create_dimensions(self, netcdf): """ - Create 'N_flag_codes' and 'N_qa_codes' dimensions and the super dimensions - 'time', 'time_nv', 'station', and 'strlen'. + Create "N_flag_codes" and "N_qa_codes" dimensions and the super dimensions + "time", "time_nv", "station", and "strlen". Parameters ---------- @@ -221,14 +217,15 @@ super(PointsNesGHOST, self)._create_dimensions(netcdf) # Create N_flag_codes and N_qa_codes dimensions - netcdf.createDimension('N_flag_codes', self._flag['data'].shape[2]) - netcdf.createDimension('N_qa_codes', self._qa['data'].shape[2]) + netcdf.createDimension("N_flag_codes", self._flag["data"].shape[2]) + netcdf.createDimension("N_qa_codes", self._qa["data"].shape[2]) return None + # noinspection DuplicatedCode def _create_dimension_variables(self, netcdf): """ - Create the 'time', 'time_bnds', 'station', 'lat', 'lat_bnds', 'lon' and 'lon_bnds' variables. + Create the "time", "time_bnds", "station", "lat", "lat_bnds", "lon" and "lon_bnds" variables. Parameters ---------- @@ -237,79 +234,78 @@ """ # TIMES - time_var = netcdf.createVariable('time', np.float64, ('time',), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - time_var.units = 'hours since {0}'.format( - self._time[self.get_time_id(self.hours_start, first=True)].strftime('%Y-%m-%d %H:%M:%S')) - time_var.standard_name = 'time' - time_var.calendar = 'standard' - time_var.long_name = 'time' - if self._time_bnds is not None: - time_var.bounds = 'time_bnds' + time_var = netcdf.createVariable("time", float64, ("time",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) + time_var.units = "hours since {0}".format( + self.get_full_times()[self._get_time_id(self.hours_start, first=True)].strftime("%Y-%m-%d %H:%M:%S")) + time_var.standard_name = "time" + time_var.calendar = "standard" + time_var.long_name = "time" + if self.time_bnds is not None: + time_var.bounds = "time_bnds" if self.size > 1: time_var.set_collective(True) - time_var[:] = date2num(self._time[self.get_time_id(self.hours_start, first=True): - self.get_time_id(self.hours_end, first=False)], + time_var[:] = date2num(self.get_full_times()[self._get_time_id(self.hours_start, first=True): + self._get_time_id(self.hours_end, first=False)], time_var.units, time_var.calendar) # TIME BOUNDS - if self._time_bnds is not None: - time_bnds_var = netcdf.createVariable('time_bnds', np.float64, ('time', 'time_nv',), zlib=self.zip_lvl, + if self.time_bnds is not None: + time_bnds_var = netcdf.createVariable("time_bnds", float64, ("time", "time_nv",), zlib=self.zip_lvl, complevel=self.zip_lvl) if self.size > 1: time_bnds_var.set_collective(True) - time_bnds_var[:] = date2num(self._time_bnds, time_var.units, calendar='standard') + time_bnds_var[:] = date2num(self.get_full_time_bnds(), time_var.units, calendar="standard") # STATIONS - stations = netcdf.createVariable('station', np.float64, ('station',), zlib=self.zip_lvl > 0, + stations = netcdf.createVariable("station", float64, ("station",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - stations.units = '' - stations.axis = 'X' - stations.long_name = '' - stations.standard_name = 'station' + stations.units = "" + stations.axis = "X" + stations.long_name = "" + stations.standard_name = "station" if self.size > 1: stations.set_collective(True) - stations[:] = self._station['data'] + stations[:] = self._station["data"] # LATITUDES - lat = netcdf.createVariable('latitude', np.float64, self._lat_dim, - zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - lat.units = 'degrees_north' - lat.axis = 'Y' - lat.long_name = 'latitude coordinate' - lat.standard_name = 'latitude' - if self._lat_bnds is not None: - lat.bounds = 'lat_bnds' + lat = netcdf.createVariable("latitude", float64, self._lat_dim, zlib=self.zip_lvl > 0, complevel=self.zip_lvl) + lat.units = "degrees_north" + lat.axis = "Y" + lat.long_name = "latitude coordinate" + lat.standard_name = "latitude" + if self.lat_bnds is not None: + lat.bounds = "lat_bnds" if self.size > 1: lat.set_collective(True) - lat[:] = self._lat['data'] + lat[:] = self.get_full_latitudes()["data"] # LONGITUDES - lon = netcdf.createVariable('longitude', np.float64, self._lon_dim, - zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - lon.units = 'degrees_east' - lon.axis = 'X' - lon.long_name = 'longitude coordinate' - lon.standard_name = 'longitude' - if self._lon_bnds is not None: - lon.bounds = 'lon_bnds' + lon = netcdf.createVariable("longitude", float64, self._lon_dim, zlib=self.zip_lvl > 0, complevel=self.zip_lvl) + lon.units = "degrees_east" + lon.axis = "X" + lon.long_name = "longitude coordinate" + lon.standard_name = "longitude" + if self.lon_bnds is not None: + lon.bounds = "lon_bnds" if self.size > 1: lon.set_collective(True) - lon[:] = self._lon['data'] + lon[:] = self.get_full_longitudes()["data"]
[docs] def erase_flags(self): - first_time_idx = self.get_time_id(self.hours_start, first=True) - last_time_idx = self.get_time_id(self.hours_end, first=False) + first_time_idx = self._get_time_id(self.hours_start, first=True) + last_time_idx = self._get_time_id(self.hours_end, first=False) t_len = last_time_idx - first_time_idx - self._qa['data'] = np.empty((len(self._lon['data']), t_len, 0)) - self._flag['data'] = np.empty((len(self._lon['data']), t_len, 0)) + self._qa["data"] = empty((len(self.get_full_longitudes()["data"]), t_len, 0)) + self._flag["data"] = empty((len(self.get_full_longitudes()["data"]), t_len, 0)) return None
+ # noinspection DuplicatedCode def _get_coordinate_values(self, coordinate_info, coordinate_axis, bounds=False): """ Get the coordinate data of the current portion. @@ -317,9 +313,9 @@ Parameters ---------- coordinate_info : dict, list - Dictionary with the 'data' key with the coordinate variable values. and the attributes as other keys. + Dictionary with the "data" key with the coordinate variable values. and the attributes as other keys. coordinate_axis : str - Name of the coordinate to extract. Accepted values: ['X']. + Name of the coordinate to extract. Accepted values: ["X"]. bounds : bool Boolean variable to know if there are coordinate bounds. Returns @@ -332,29 +328,30 @@ return None if not isinstance(coordinate_info, dict): - values = {'data': deepcopy(coordinate_info)} + values = {"data": deepcopy(coordinate_info)} else: values = deepcopy(coordinate_info) - coordinate_len = len(values['data'].shape) + coordinate_len = len(values["data"].shape) if bounds: coordinate_len -= 1 - if coordinate_axis == 'X': + if coordinate_axis == "X": if coordinate_len == 1: - values['data'] = values['data'][self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] + values["data"] = values["data"][self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] elif coordinate_len == 2: - values['data'] = values['data'][self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], - self.read_axis_limits['t_min']:self.read_axis_limits['t_max']] + values["data"] = values["data"][self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"], + self.read_axis_limits["t_min"]:self.read_axis_limits["t_max"]] elif coordinate_len == 3: - values['data'] = values['data'][self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], - self.read_axis_limits['t_min']:self.read_axis_limits['t_max'], :] + values["data"] = values["data"][self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"], + self.read_axis_limits["t_min"]:self.read_axis_limits["t_max"], :] else: raise NotImplementedError("The coordinate has wrong dimensions: {dim}".format( - dim=values['data'].shape)) + dim=values["data"].shape)) return values + # noinspection DuplicatedCode def _read_variable(self, var_name): """ Read the corresponding variable data according to the current rank. @@ -366,25 +363,25 @@ Returns ------- - data: np.array + data: array Portion of the variable data corresponding to the rank. """ - nc_var = self.netcdf.variables[var_name] + nc_var = self.dataset.variables[var_name] var_dims = nc_var.dimensions # Read data in 1 or 2 dimensions if len(var_dims) < 2: - data = nc_var[self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] + data = nc_var[self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] elif len(var_dims) == 2: - data = nc_var[self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], - self.read_axis_limits['t_min']:self.read_axis_limits['t_max']] + data = nc_var[self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"], + self.read_axis_limits["t_min"]:self.read_axis_limits["t_max"]] elif len(var_dims) == 3: - data = nc_var[self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], - self.read_axis_limits['t_min']:self.read_axis_limits['t_max'], + data = nc_var[self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"], + self.read_axis_limits["t_min"]:self.read_axis_limits["t_max"], :] else: - raise NotImplementedError('Error with {0}. Only can be read netCDF with 3 dimensions or less'.format( + raise NotImplementedError("Error with {0}. Only can be read netCDF with 3 dimensions or less".format( var_name)) # Unmask array @@ -392,6 +389,7 @@ return data + # noinspection DuplicatedCode def _create_variables(self, netcdf, chunking=False): """ Create the netCDF file variables. @@ -407,49 +405,49 @@ if self.variables is not None: for i, (var_name, var_dict) in enumerate(self.variables.items()): # Get data type - if 'dtype' in var_dict.keys(): - var_dtype = var_dict['dtype'] - if (var_dict['data'] is not None) and (var_dtype != var_dict['data'].dtype): + if "dtype" in var_dict.keys(): + var_dtype = var_dict["dtype"] + if (var_dict["data"] is not None) and (var_dtype != var_dict["data"].dtype): msg = "WARNING!!! " msg += "Different data types for variable {0}. ".format(var_name) - msg += "Input dtype={0}. Data dtype={1}.".format(var_dtype, var_dict['data'].dtype) - warnings.warn(msg) + msg += "Input dtype={0}. Data dtype={1}.".format(var_dtype, var_dict["data"].dtype) + warn(msg) sys.stderr.flush() try: - var_dict['data'] = var_dict['data'].astype(var_dtype) - except Exception as e: # TODO: Detect exception - raise e("It was not possible to cast the data to the input dtype.") + var_dict["data"] = var_dict["data"].astype(var_dtype) + except Exception: + raise TypeError("It was not possible to cast the data to the input dtype.") else: - var_dtype = var_dict['data'].dtype - if var_dtype is np.object: - raise TypeError("Data dtype is np.object. Define dtype explicitly as dictionary key 'dtype'") + var_dtype = var_dict["data"].dtype + if var_dtype is object: + raise TypeError("Data dtype is object. Define dtype explicitly as dictionary key 'dtype'") # Get dimensions when reading datasets - if 'dimensions' in var_dict.keys(): - var_dims = var_dict['dimensions'] + if "dimensions" in var_dict.keys(): + var_dims = var_dict["dimensions"] # Get dimensions when creating new datasets else: - if len(var_dict['data'].shape) == 1: + if len(var_dict["data"].shape) == 1: # For data that depends only on station (e.g. station_code) var_dims = self._var_dim else: # For data that is dependent on time and station (e.g. PM10) - var_dims = self._var_dim + ('time',) + var_dims = self._var_dim + ("time",) - if var_dict['data'] is not None: + if var_dict["data"] is not None: # Ensure data is of type numpy array (to create NES) - if not isinstance(var_dict['data'], (np.ndarray, np.generic)): + if not isinstance(var_dict["data"], (ndarray, generic)): try: - var_dict['data'] = np.array(var_dict['data']) + var_dict["data"] = array(var_dict["data"]) except AttributeError: raise AttributeError("Data for variable {0} must be a numpy array.".format(var_name)) # Convert list of strings to chars for parallelization - if np.issubdtype(var_dtype, np.character): - var_dict['data_aux'] = self.str2char(var_dict['data']) - var_dims += ('strlen',) - var_dtype = 'S1' + if issubdtype(var_dtype, character): + var_dict["data_aux"] = self._str2char(var_dict["data"]) + var_dims += ("strlen",) + var_dtype = "S1" if self.info: print("Rank {0:03d}: Writing {1} var ({2}/{3})".format(self.rank, var_name, i + 1, @@ -460,7 +458,7 @@ zlib=self.zip_lvl > 0, complevel=self.zip_lvl) else: if self.master: - chunk_size = var_dict['data'].shape + chunk_size = var_dict["data"].shape else: chunk_size = None chunk_size = self.comm.bcast(chunk_size, root=0) @@ -477,63 +475,63 @@ self.rank, var_name, i + 1, len(self.variables))) for att_name, att_value in var_dict.items(): - if att_name == 'data': + if att_name == "data": if self.info: print("Rank {0:03d}: Filling {1})".format(self.rank, var_name)) - if 'data_aux' in var_dict.keys(): - att_value = var_dict['data_aux'] + if "data_aux" in var_dict.keys(): + att_value = var_dict["data_aux"] if len(att_value.shape) == 1: try: - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max']] = att_value + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]] = att_value except IndexError: raise IndexError("Different shapes. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max']].shape, + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]].shape, att_value.shape)) except ValueError: raise ValueError("Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max']].shape, + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]].shape, att_value.shape)) elif len(att_value.shape) == 2: - if 'strlen' in var_dims: + if "strlen" in var_dims: try: - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], :] = att_value + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :] = att_value except IndexError: raise IndexError("Different shapes. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], :].shape, + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :].shape, att_value.shape)) except ValueError: raise ValueError("Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], :].shape, - att_value.shape)) + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :].shape, + att_value.shape)) else: try: - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], - self.write_axis_limits['t_min']:self.write_axis_limits['t_max']] = att_value + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], + self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"]] = att_value except IndexError: raise IndexError("Different shapes. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], - self.write_axis_limits['t_min']:self.write_axis_limits['t_max']].shape, + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], + self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"]].shape, att_value.shape)) except ValueError: + out_shape = var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], + self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"]].shape raise ValueError("Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], - self.write_axis_limits['t_min']:self.write_axis_limits['t_max']].shape, - att_value.shape)) + out_shape, att_value.shape)) elif len(att_value.shape) == 3: try: - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], - self.write_axis_limits['t_min']:self.write_axis_limits['t_max'], + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], + self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], :] = att_value except IndexError: raise IndexError("Different shapes. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], - self.write_axis_limits['t_min']:self.write_axis_limits['t_max'], + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], + self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], :].shape, att_value.shape)) except ValueError: raise ValueError("Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], - self.write_axis_limits['t_min']:self.write_axis_limits['t_max'], + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], + self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], :].shape, att_value.shape)) @@ -541,11 +539,11 @@ print("Rank {0:03d}: Var {1} data ({2}/{3})".format(self.rank, var_name, i + 1, len(self.variables))) - elif att_name not in ['chunk_size', 'var_dims', 'dimensions', 'dtype', 'data_aux']: + elif att_name not in ["chunk_size", "var_dims", "dimensions", "dtype", "data_aux"]: var.setncattr(att_name, att_value) - if 'data_aux' in var_dict.keys(): - del var_dict['data_aux'] + if "data_aux" in var_dict.keys(): + del var_dict["data_aux"] self._set_var_crs(var) if self.info: @@ -553,7 +551,8 @@ len(self.variables))) return None - + + # noinspection DuplicatedCode def _gather_data(self, data_to_gather): """ Gather all the variable data into the MPI rank 0 to perform a serial write. @@ -568,11 +567,11 @@ for var_name, var_info in data_list.items(): try: # noinspection PyArgumentList - data_aux = self.comm.gather(data_list[var_name]['data'], root=0) + data_aux = self.comm.gather(data_list[var_name]["data"], root=0) if self.rank == 0: - shp_len = len(data_list[var_name]['data'].shape) + shp_len = len(data_list[var_name]["data"].shape) # concatenate over station - if self.parallel_method == 'X': + if self.parallel_method == "X": if shp_len == 1: # dimensions = (station) axis = 0 @@ -581,41 +580,38 @@ # dimensions = (station, time) axis = 0 else: - msg = 'The points NetCDF must have ' - msg += 'surface values (without levels).' + msg = "The points NetCDF must have " + msg += "surface values (without levels)." raise NotImplementedError(msg) - elif self.parallel_method == 'T': + elif self.parallel_method == "T": # concatenate over time if shp_len == 1: # dimensions = (station) axis = None - continue elif shp_len == 2: - if 'strlen' in var_info['dimensions']: + if "strlen" in var_info["dimensions"]: # dimensions = (station, strlen) axis = None - continue else: # dimensions = (station, time) axis = 1 else: - msg = 'The points NetCDF must have ' - msg += 'surface values (without levels).' + msg = "The points NetCDF must have " + msg += "surface values (without levels)." raise NotImplementedError(msg) else: raise NotImplementedError( "Parallel method '{meth}' is not implemented. Use one of these: {accept}".format( - meth=self.parallel_method, accept=['X', 'T'])) - data_list[var_name]['data'] = np.concatenate(data_aux, axis=axis) + meth=self.parallel_method, accept=["X", "T"])) + data_list[var_name]["data"] = concatenate(data_aux, axis=axis) except Exception as e: - print("**ERROR** an error has occurred while gathering the '{0}' variable.\n".format(var_name)) - sys.stderr.write("**ERROR** an error has occurred while gathering the '{0}' variable.\n".format(var_name)) + msg = f"**ERROR** an error has occurred while gathering the '{var_name}' variable.\n" + print(msg) + sys.stderr.write(msg) print(e) sys.stderr.write(str(e)) - # print(e, file=sys.stderr) sys.stderr.flush() self.comm.Abort(1) - raise e return data_list @@ -630,37 +626,40 @@ """ # N FLAG CODES - flag = netcdf.createVariable('flag', np.int64, ('station', 'time', 'N_flag_codes',), + flag = netcdf.createVariable("flag", int64, ("station", "time", "N_flag_codes",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - flag.units = '' - flag.axis = '' - flag.long_name = '' - flag.standard_name = 'flag' + flag.units = "" + flag.axis = "" + flag.long_name = "" + flag.standard_name = "flag" if self.size > 1: flag.set_collective(True) - flag[:] = self._flag['data'] + flag[:] = self._flag["data"] # N QA CODES - qa = netcdf.createVariable('qa', np.int64, ('station', 'time', 'N_qa_codes',), + qa = netcdf.createVariable("qa", int64, ("station", "time", "N_qa_codes",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - qa.units = '' - qa.axis = '' - qa.long_name = '' - qa.standard_name = 'N_qa_codes' + qa.units = "" + qa.axis = "" + qa.long_name = "" + qa.standard_name = "N_qa_codes" if self.size > 1: qa.set_collective(True) - qa[:] = self._qa['data'] + qa[:] = self._qa["data"] return None
[docs] - def to_netcdf(self, path, compression_level=0, serial=False, info=False, chunking=False): + def to_netcdf(self, path, compression_level=0, serial=False, info=False, chunking=False, nc_type="NES", + keep_open=False): """ Write the netCDF output file. Parameters ---------- + keep_open : bool + nc_type : str path : str Path to the output netCDF file. compression_level : int @@ -670,14 +669,14 @@ info : bool Indicates if you want to print the information of each writing step by stdout Default: False. chunking : bool - Indicates if you want a chunked netCDF output. Only available with non serial writes. Default: False. + Indicates if you want a chunked netCDF output. Only available with non-serial writes. Default: False. """ if (not serial) and (self.size > 1): - msg = 'WARNING!!! ' - msg += 'GHOST datasets cannot be written in parallel yet. ' - msg += 'Changing to serial mode.' - warnings.warn(msg) + msg = "WARNING!!! " + msg += "GHOST datasets cannot be written in parallel yet. " + msg += "Changing to serial mode." + warn(msg) sys.stderr.flush() super(PointsNesGHOST, self).to_netcdf(path, compression_level=compression_level, @@ -707,161 +706,165 @@ first_level=self.first_level, last_level=self.last_level, create_nes=True, - lat=self.lat['data'], - lon=self.lon['data'], + lat=self.lat["data"], + lon=self.lon["data"], times=self.time ) # The version attribute in GHOST files prior to 1.3.3 is called data_version, after it is version - if 'version' in self.global_attrs: - GHOST_version = self.global_attrs['version'] - elif 'data_version' in self.global_attrs: - GHOST_version = self.global_attrs['data_version'] - metadata_variables = self.get_standard_metadata(GHOST_version) + if "version" in self.global_attrs: + ghost_version = self.global_attrs["version"] + elif "data_version" in self.global_attrs: + ghost_version = self.global_attrs["data_version"] + else: + ghost_version = "0.0.0" + metadata_variables = self.get_standard_metadata(ghost_version) self.free_vars(metadata_variables) - self.free_vars('station') + self.free_vars("station") points_nes.variables = deepcopy(self.variables) return points_nes
- +
[docs] - def get_standard_metadata(self, GHOST_version): + @staticmethod + def get_standard_metadata(ghost_version): """ Get all possible GHOST variables for each version. Parameters ---------- - GHOST_version : str + ghost_version : str Version of GHOST file. Returns ---------- metadata_variables[GHOST_version] : list - List of metadata variables for a certain GHOST version + A List of metadata variables for a certain GHOST version """ # This metadata variables are - metadata_variables = {'1.4': ['GHOST_version', 'station_reference', 'station_timezone', 'latitude', 'longitude', - 'altitude', 'sampling_height', 'measurement_altitude', 'ellipsoid', - 'horizontal_datum', 'vertical_datum', 'projection', 'distance_to_building', - 'distance_to_kerb', 'distance_to_junction', 'distance_to_source', 'street_width', - 'street_type', 'daytime_traffic_speed', 'daily_passing_vehicles', 'data_level', - 'climatology', 'station_name', 'city', 'country', - 'administrative_country_division_1', 'administrative_country_division_2', - 'population', 'representative_radius', 'network', 'associated_networks', - 'area_classification', 'station_classification', 'main_emission_source', - 'land_use', 'terrain', 'measurement_scale', - 'ESDAC_Iwahashi_landform_classification', - 'ESDAC_modal_Iwahashi_landform_classification_5km', - 'ESDAC_modal_Iwahashi_landform_classification_25km', - 'ESDAC_Meybeck_landform_classification', - 'ESDAC_modal_Meybeck_landform_classification_5km', - 'ESDAC_modal_Meybeck_landform_classification_25km', - 'GHSL_settlement_model_classification', - 'GHSL_modal_settlement_model_classification_5km', - 'GHSL_modal_settlement_model_classification_25km', - 'Joly-Peuch_classification_code', 'Koppen-Geiger_classification', - 'Koppen-Geiger_modal_classification_5km', - 'Koppen-Geiger_modal_classification_25km', - 'MODIS_MCD12C1_v6_IGBP_land_use', 'MODIS_MCD12C1_v6_modal_IGBP_land_use_5km', - 'MODIS_MCD12C1_v6_modal_IGBP_land_use_25km', 'MODIS_MCD12C1_v6_UMD_land_use', - 'MODIS_MCD12C1_v6_modal_UMD_land_use_5km', - 'MODIS_MCD12C1_v6_modal_UMD_land_use_25km', 'MODIS_MCD12C1_v6_LAI', - 'MODIS_MCD12C1_v6_modal_LAI_5km', 'MODIS_MCD12C1_v6_modal_LAI_25km', - 'WMO_region', 'WWF_TEOW_terrestrial_ecoregion', 'WWF_TEOW_biogeographical_realm', - 'WWF_TEOW_biome', 'UMBC_anthrome_classification', - 'UMBC_modal_anthrome_classification_5km', - 'UMBC_modal_anthrome_classification_25km', - 'EDGAR_v4.3.2_annual_average_BC_emissions', - 'EDGAR_v4.3.2_annual_average_CO_emissions', - 'EDGAR_v4.3.2_annual_average_NH3_emissions', - 'EDGAR_v4.3.2_annual_average_NMVOC_emissions', - 'EDGAR_v4.3.2_annual_average_NOx_emissions', - 'EDGAR_v4.3.2_annual_average_OC_emissions', - 'EDGAR_v4.3.2_annual_average_PM10_emissions', - 'EDGAR_v4.3.2_annual_average_biogenic_PM2.5_emissions', - 'EDGAR_v4.3.2_annual_average_fossilfuel_PM2.5_emissions', - 'EDGAR_v4.3.2_annual_average_SO2_emissions', 'ASTER_v3_altitude', - 'ETOPO1_altitude', 'ETOPO1_max_altitude_difference_5km', - 'GHSL_built_up_area_density', 'GHSL_average_built_up_area_density_5km', - 'GHSL_average_built_up_area_density_25km', 'GHSL_max_built_up_area_density_5km', - 'GHSL_max_built_up_area_density_25km', 'GHSL_population_density', - 'GHSL_average_population_density_5km', 'GHSL_average_population_density_25km', - 'GHSL_max_population_density_5km', 'GHSL_max_population_density_25km', - 'GPW_population_density', 'GPW_average_population_density_5km', - 'GPW_average_population_density_25km', 'GPW_max_population_density_5km', - 'GPW_max_population_density_25km', - 'NOAA-DMSP-OLS_v4_nighttime_stable_lights', - 'NOAA-DMSP-OLS_v4_average_nighttime_stable_lights_5km', - 'NOAA-DMSP-OLS_v4_average_nighttime_stable_lights_25km', - 'NOAA-DMSP-OLS_v4_max_nighttime_stable_lights_5km', - 'NOAA-DMSP-OLS_v4_max_nighttime_stable_lights_25km', - 'OMI_level3_column_annual_average_NO2', - 'OMI_level3_column_cloud_screened_annual_average_NO2', - 'OMI_level3_tropospheric_column_annual_average_NO2', - 'OMI_level3_tropospheric_column_cloud_screened_annual_average_NO2', - 'GSFC_coastline_proximity', 'primary_sampling_type', - 'primary_sampling_instrument_name', - 'primary_sampling_instrument_documented_flow_rate', - 'primary_sampling_instrument_reported_flow_rate', - 'primary_sampling_process_details', 'primary_sampling_instrument_manual_name', - 'primary_sampling_further_details', 'sample_preparation_types', - 'sample_preparation_techniques', 'sample_preparation_process_details', - 'sample_preparation_further_details', 'measurement_methodology', - 'measuring_instrument_name', 'measuring_instrument_sampling_type', - 'measuring_instrument_documented_flow_rate', - 'measuring_instrument_reported_flow_rate', 'measuring_instrument_process_details', - 'measuring_instrument_process_details', 'measuring_instrument_manual_name', - 'measuring_instrument_further_details', 'measuring_instrument_reported_units', - 'measuring_instrument_reported_lower_limit_of_detection', - 'measuring_instrument_documented_lower_limit_of_detection', - 'measuring_instrument_reported_upper_limit_of_detection', - 'measuring_instrument_documented_upper_limit_of_detection', - 'measuring_instrument_reported_uncertainty', - 'measuring_instrument_documented_uncertainty', - 'measuring_instrument_reported_accuracy', - 'measuring_instrument_documented_accuracy', - 'measuring_instrument_reported_precision', - 'measuring_instrument_documented_precision', - 'measuring_instrument_reported_zero_drift', - 'measuring_instrument_documented_zero_drift', - 'measuring_instrument_reported_span_drift', - 'measuring_instrument_documented_span_drift', - 'measuring_instrument_reported_zonal_drift', - 'measuring_instrument_documented_zonal_drift', - 'measuring_instrument_reported_measurement_resolution', - 'measuring_instrument_documented_measurement_resolution', - 'measuring_instrument_reported_absorption_cross_section', - 'measuring_instrument_documented_absorption_cross_section', - 'measuring_instrument_inlet_information', - 'measuring_instrument_calibration_scale', - 'network_provided_volume_standard_temperature', - 'network_provided_volume_standard_pressure', 'retrieval_algorithm', - 'principal_investigator_name', 'principal_investigator_institution', - 'principal_investigator_email_address', 'contact_name', - 'contact_institution', 'contact_email_address', 'meta_update_stamp', - 'data_download_stamp', 'data_revision_stamp', 'network_sampling_details', - 'network_uncertainty_details', 'network_maintenance_details', - 'network_qa_details', 'network_miscellaneous_details', 'data_licence', - 'process_warnings', 'temporal_resolution', - 'reported_lower_limit_of_detection_per_measurement', - 'reported_upper_limit_of_detection_per_measurement', - 'reported_uncertainty_per_measurement', 'derived_uncertainty_per_measurement', - 'day_night_code', 'weekday_weekend_code', 'season_code', - 'hourly_native_representativity_percent', 'hourly_native_max_gap_percent', - 'daily_native_representativity_percent', 'daily_representativity_percent', - 'daily_native_max_gap_percent', 'daily_max_gap_percent', - 'monthly_native_representativity_percent', 'monthly_representativity_percent', - 'monthly_native_max_gap_percent', 'monthly_max_gap_percent', - 'annual_native_representativity_percent', 'annual_native_max_gap_percent', - 'all_representativity_percent', 'all_max_gap_percent'], - } - - return metadata_variables[GHOST_version]
- - + metadata_variables = {"1.4": ["GHOST_version", "station_reference", "station_timezone", "latitude", "longitude", + "altitude", "sampling_height", "measurement_altitude", "ellipsoid", + "horizontal_datum", "vertical_datum", "projection", "distance_to_building", + "distance_to_kerb", "distance_to_junction", "distance_to_source", "street_width", + "street_type", "daytime_traffic_speed", "daily_passing_vehicles", "data_level", + "climatology", "station_name", "city", "country", + "administrative_country_division_1", "administrative_country_division_2", + "population", "representative_radius", "network", "associated_networks", + "area_classification", "station_classification", "main_emission_source", + "land_use", "terrain", "measurement_scale", + "ESDAC_Iwahashi_landform_classification", + "ESDAC_modal_Iwahashi_landform_classification_5km", + "ESDAC_modal_Iwahashi_landform_classification_25km", + "ESDAC_Meybeck_landform_classification", + "ESDAC_modal_Meybeck_landform_classification_5km", + "ESDAC_modal_Meybeck_landform_classification_25km", + "GHSL_settlement_model_classification", + "GHSL_modal_settlement_model_classification_5km", + "GHSL_modal_settlement_model_classification_25km", + "Joly-Peuch_classification_code", "Koppen-Geiger_classification", + "Koppen-Geiger_modal_classification_5km", + "Koppen-Geiger_modal_classification_25km", + "MODIS_MCD12C1_v6_IGBP_land_use", "MODIS_MCD12C1_v6_modal_IGBP_land_use_5km", + "MODIS_MCD12C1_v6_modal_IGBP_land_use_25km", "MODIS_MCD12C1_v6_UMD_land_use", + "MODIS_MCD12C1_v6_modal_UMD_land_use_5km", + "MODIS_MCD12C1_v6_modal_UMD_land_use_25km", "MODIS_MCD12C1_v6_LAI", + "MODIS_MCD12C1_v6_modal_LAI_5km", "MODIS_MCD12C1_v6_modal_LAI_25km", + "WMO_region", "WWF_TEOW_terrestrial_ecoregion", "WWF_TEOW_biogeographical_realm", + "WWF_TEOW_biome", "UMBC_anthrome_classification", + "UMBC_modal_anthrome_classification_5km", + "UMBC_modal_anthrome_classification_25km", + "EDGAR_v4.3.2_annual_average_BC_emissions", + "EDGAR_v4.3.2_annual_average_CO_emissions", + "EDGAR_v4.3.2_annual_average_NH3_emissions", + "EDGAR_v4.3.2_annual_average_NMVOC_emissions", + "EDGAR_v4.3.2_annual_average_NOx_emissions", + "EDGAR_v4.3.2_annual_average_OC_emissions", + "EDGAR_v4.3.2_annual_average_PM10_emissions", + "EDGAR_v4.3.2_annual_average_biogenic_PM2.5_emissions", + "EDGAR_v4.3.2_annual_average_fossilfuel_PM2.5_emissions", + "EDGAR_v4.3.2_annual_average_SO2_emissions", "ASTER_v3_altitude", + "ETOPO1_altitude", "ETOPO1_max_altitude_difference_5km", + "GHSL_built_up_area_density", "GHSL_average_built_up_area_density_5km", + "GHSL_average_built_up_area_density_25km", "GHSL_max_built_up_area_density_5km", + "GHSL_max_built_up_area_density_25km", "GHSL_population_density", + "GHSL_average_population_density_5km", "GHSL_average_population_density_25km", + "GHSL_max_population_density_5km", "GHSL_max_population_density_25km", + "GPW_population_density", "GPW_average_population_density_5km", + "GPW_average_population_density_25km", "GPW_max_population_density_5km", + "GPW_max_population_density_25km", + "NOAA-DMSP-OLS_v4_nighttime_stable_lights", + "NOAA-DMSP-OLS_v4_average_nighttime_stable_lights_5km", + "NOAA-DMSP-OLS_v4_average_nighttime_stable_lights_25km", + "NOAA-DMSP-OLS_v4_max_nighttime_stable_lights_5km", + "NOAA-DMSP-OLS_v4_max_nighttime_stable_lights_25km", + "OMI_level3_column_annual_average_NO2", + "OMI_level3_column_cloud_screened_annual_average_NO2", + "OMI_level3_tropospheric_column_annual_average_NO2", + "OMI_level3_tropospheric_column_cloud_screened_annual_average_NO2", + "GSFC_coastline_proximity", "primary_sampling_type", + "primary_sampling_instrument_name", + "primary_sampling_instrument_documented_flow_rate", + "primary_sampling_instrument_reported_flow_rate", + "primary_sampling_process_details", "primary_sampling_instrument_manual_name", + "primary_sampling_further_details", "sample_preparation_types", + "sample_preparation_techniques", "sample_preparation_process_details", + "sample_preparation_further_details", "measurement_methodology", + "measuring_instrument_name", "measuring_instrument_sampling_type", + "measuring_instrument_documented_flow_rate", + "measuring_instrument_reported_flow_rate", "measuring_instrument_process_details", + "measuring_instrument_process_details", "measuring_instrument_manual_name", + "measuring_instrument_further_details", "measuring_instrument_reported_units", + "measuring_instrument_reported_lower_limit_of_detection", + "measuring_instrument_documented_lower_limit_of_detection", + "measuring_instrument_reported_upper_limit_of_detection", + "measuring_instrument_documented_upper_limit_of_detection", + "measuring_instrument_reported_uncertainty", + "measuring_instrument_documented_uncertainty", + "measuring_instrument_reported_accuracy", + "measuring_instrument_documented_accuracy", + "measuring_instrument_reported_precision", + "measuring_instrument_documented_precision", + "measuring_instrument_reported_zero_drift", + "measuring_instrument_documented_zero_drift", + "measuring_instrument_reported_span_drift", + "measuring_instrument_documented_span_drift", + "measuring_instrument_reported_zonal_drift", + "measuring_instrument_documented_zonal_drift", + "measuring_instrument_reported_measurement_resolution", + "measuring_instrument_documented_measurement_resolution", + "measuring_instrument_reported_absorption_cross_section", + "measuring_instrument_documented_absorption_cross_section", + "measuring_instrument_inlet_information", + "measuring_instrument_calibration_scale", + "network_provided_volume_standard_temperature", + "network_provided_volume_standard_pressure", "retrieval_algorithm", + "principal_investigator_name", "principal_investigator_institution", + "principal_investigator_email_address", "contact_name", + "contact_institution", "contact_email_address", "meta_update_stamp", + "data_download_stamp", "data_revision_stamp", "network_sampling_details", + "network_uncertainty_details", "network_maintenance_details", + "network_qa_details", "network_miscellaneous_details", "data_licence", + "process_warnings", "temporal_resolution", + "reported_lower_limit_of_detection_per_measurement", + "reported_upper_limit_of_detection_per_measurement", + "reported_uncertainty_per_measurement", "derived_uncertainty_per_measurement", + "day_night_code", "weekday_weekend_code", "season_code", + "hourly_native_representativity_percent", "hourly_native_max_gap_percent", + "daily_native_representativity_percent", "daily_representativity_percent", + "daily_native_max_gap_percent", "daily_max_gap_percent", + "monthly_native_representativity_percent", "monthly_representativity_percent", + "monthly_native_max_gap_percent", "monthly_max_gap_percent", + "annual_native_representativity_percent", "annual_native_max_gap_percent", + "all_representativity_percent", "all_max_gap_percent"], + } + + return metadata_variables[ghost_version]
+ + + # noinspection DuplicatedCode
[docs] def add_variables_to_shapefile(self, var_list, idx_lev=0, idx_time=0): @@ -877,25 +880,25 @@ """ if idx_lev != 0: - msg = 'Error: Points dataset has no level (Level: {0}).'.format(idx_lev) + msg = "Error: Points dataset has no level (Level: {0}).".format(idx_lev) raise ValueError(msg) for var_name in var_list: # station as dimension - if len(self.variables[var_name]['dimensions']) == 1: - self.shapefile[var_name] = self.variables[var_name]['data'][:].ravel() + if len(self.variables[var_name]["dimensions"]) == 1: + self.shapefile[var_name] = self.variables[var_name]["data"][:].ravel() # station and time as dimensions else: - self.shapefile[var_name] = self.variables[var_name]['data'][:, idx_time].ravel() + self.shapefile[var_name] = self.variables[var_name]["data"][:, idx_time].ravel() return None
@staticmethod def _get_axis_index_(axis): - if axis == 'T': + if axis == "T": value = 1 - elif axis == 'X': + elif axis == "X": value = 0 else: raise ValueError("Unknown axis: {0}".format(axis)) diff --git a/docs/build/html/_modules/nes/nc_projections/points_nes_providentia.html b/docs/build/html/_modules/nes/nc_projections/points_nes_providentia.html index f6eef9a77dc6d7a669b67f9c8bc9ea61d83448bd..cf07cc570243e0f06222265411d142eeae10bab7 100644 --- a/docs/build/html/_modules/nes/nc_projections/points_nes_providentia.html +++ b/docs/build/html/_modules/nes/nc_projections/points_nes_providentia.html @@ -80,10 +80,9 @@ #!/usr/bin/env python import sys -import warnings -import numpy as np +from warnings import warn from copy import deepcopy -from netCDF4 import stringtochar +from numpy import ndarray, generic, array, issubdtype, character, concatenate from .points_nes import PointsNes @@ -95,29 +94,30 @@ Attributes ---------- _model_centre_lon : dict - Model centre longitudes dictionary with the complete 'data' key for all the values and the rest of the + Model centre longitudes dictionary with the complete "data" key for all the values and the rest of the attributes. _model_centre_lat : dict - Model centre latitudes dictionary with the complete 'data' key for all the values and the rest of the + Model centre latitudes dictionary with the complete "data" key for all the values and the rest of the attributes. _grid_edge_lon : dict - Grid edge longitudes dictionary with the complete 'data' key for all the values and the rest of the + Grid edge longitudes dictionary with the complete "data" key for all the values and the rest of the attributes. _grid_edge_lat : dict - Grid edge latitudes dictionary with the complete 'data' key for all the values and the rest of the + Grid edge latitudes dictionary with the complete "data" key for all the values and the rest of the attributes. model_centre_lon : dict - Model centre longitudes dictionary with the portion of 'data' corresponding to the rank values. + Model centre longitudes dictionary with the portion of "data" corresponding to the rank values. model_centre_lat : dict - Model centre latitudes dictionary with the portion of 'data' corresponding to the rank values. + Model centre latitudes dictionary with the portion of "data" corresponding to the rank values. grid_edge_lon : dict - Grid edge longitudes dictionary with the portion of 'data' corresponding to the rank values. + Grid edge longitudes dictionary with the portion of "data" corresponding to the rank values. grid_edge_lat : dict - Grid edge latitudes dictionary with the portion of 'data' corresponding to the rank values. + Grid edge latitudes dictionary with the portion of "data" corresponding to the rank values. """ - def __init__(self, comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='X', + def __init__(self, comm=None, path=None, info=False, dataset=None, parallel_method="X", avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, - balanced=False, times=None, model_centre_lon=None, model_centre_lat=None, grid_edge_lon=None, grid_edge_lat=None, + balanced=False, times=None, model_centre_lon=None, model_centre_lat=None, grid_edge_lon=None, + grid_edge_lat=None, **kwargs): """ Initialize the PointsNesProvidentia class @@ -132,11 +132,9 @@ Indicates if you want to get reading/writing info. dataset: Dataset NetCDF4-python Dataset to initialize the class. - xarray: bool: - (Not working) Indicates if you want to use xarray as default. parallel_method : str - Indicates the parallelization method that you want. Default: 'X'. - Accepted values: ['X']. + Indicates the parallelization method that you want. Default: "X". + Accepted values: ["X"]. avoid_first_hours : int Number of hours to remove from first time steps. avoid_last_hours : int @@ -153,21 +151,21 @@ times : list, None List of times to substitute the current ones while creation. model_centre_lon : dict - Model centre longitudes dictionary with the portion of 'data' corresponding to the rank values. + Model centre longitudes dictionary with the portion of "data" corresponding to the rank values. model_centre_lat : dict - Model centre latitudes dictionary with the portion of 'data' corresponding to the rank values. + Model centre latitudes dictionary with the portion of "data" corresponding to the rank values. grid_edge_lon : dict - Grid edge longitudes dictionary with the portion of 'data' corresponding to the rank values. + Grid edge longitudes dictionary with the portion of "data" corresponding to the rank values. grid_edge_lat : dict - Grid edge latitudes dictionary with the portion of 'data' corresponding to the rank values. + Grid edge latitudes dictionary with the portion of "data" corresponding to the rank values. """ super(PointsNesProvidentia, self).__init__(comm=comm, path=path, info=info, dataset=dataset, - xarray=xarray, parallel_method=parallel_method, + parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, - create_nes=create_nes, times=times, **kwargs) + create_nes=create_nes, times=times, balanced=balanced, **kwargs) if create_nes: # Complete dimensions @@ -177,21 +175,21 @@ self._grid_edge_lat = grid_edge_lat else: # Complete dimensions - self._model_centre_lon = self._get_coordinate_dimension(['model_centre_longitude']) - self._model_centre_lat = self._get_coordinate_dimension(['model_centre_latitude']) - self._grid_edge_lon = self._get_coordinate_dimension(['grid_edge_longitude']) - self._grid_edge_lat = self._get_coordinate_dimension(['grid_edge_latitude']) + self._model_centre_lon = self._get_coordinate_dimension(["model_centre_longitude"]) + self._model_centre_lat = self._get_coordinate_dimension(["model_centre_latitude"]) + self._grid_edge_lon = self._get_coordinate_dimension(["grid_edge_longitude"]) + self._grid_edge_lat = self._get_coordinate_dimension(["grid_edge_latitude"]) # Dimensions screening - self.model_centre_lon = self._get_coordinate_values(self._model_centre_lon, '') - self.model_centre_lat = self._get_coordinate_values(self._model_centre_lat, '') - self.grid_edge_lon = self._get_coordinate_values(self._grid_edge_lon, '') - self.grid_edge_lat = self._get_coordinate_values(self._grid_edge_lat, '') + self.model_centre_lon = self._get_coordinate_values(self._model_centre_lon, "") + self.model_centre_lat = self._get_coordinate_values(self._model_centre_lat, "") + self.grid_edge_lon = self._get_coordinate_values(self._grid_edge_lon, "") + self.grid_edge_lat = self._get_coordinate_values(self._grid_edge_lat, "")
[docs] @staticmethod - def new(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='X', + def new(comm=None, path=None, info=False, dataset=None, parallel_method="X", avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, model_centre_lon=None, model_centre_lat=None, grid_edge_lon=None, grid_edge_lat=None, @@ -209,11 +207,9 @@ Indicates if you want to get reading/writing info. dataset: Dataset NetCDF4-python Dataset to initialize the class. - xarray: bool: - (Not working) Indicates if you want to use xarray as default. parallel_method : str - Indicates the parallelization method that you want. Default: 'X'. - Accepted values: ['X']. + Indicates the parallelization method that you want. Default: "X". + Accepted values: ["X"]. avoid_first_hours : int Number of hours to remove from first time steps. avoid_last_hours : int @@ -230,16 +226,16 @@ create_nes : bool Indicates if you want to create the object from scratch (True) or through an existing file. model_centre_lon : dict - Model centre longitudes dictionary with the portion of 'data' corresponding to the rank values. + Model centre longitudes dictionary with the portion of "data" corresponding to the rank values. model_centre_lat : dict - Model centre latitudes dictionary with the portion of 'data' corresponding to the rank values. + Model centre latitudes dictionary with the portion of "data" corresponding to the rank values. grid_edge_lon : dict - Grid edge longitudes dictionary with the portion of 'data' corresponding to the rank values. + Grid edge longitudes dictionary with the portion of "data" corresponding to the rank values. grid_edge_lat : dict - Grid edge latitudes dictionary with the portion of 'data' corresponding to the rank values. + Grid edge latitudes dictionary with the portion of "data" corresponding to the rank values. """ - new = PointsNesProvidentia(comm=comm, path=path, info=info, dataset=dataset, xarray=xarray, + new = PointsNesProvidentia(comm=comm, path=path, info=info, dataset=dataset, parallel_method=parallel_method, avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level, create_nes=create_nes, balanced=balanced, times=times, @@ -251,8 +247,8 @@ def _create_dimensions(self, netcdf): """ - Create 'grid_edge', 'model_latitude' and 'model_longitude' dimensions and the super dimensions - 'time', 'time_nv', 'station', and 'strlen'. + Create "grid_edge", "model_latitude" and "model_longitude" dimensions and the super dimensions + "time", "time_nv", "station", and "strlen". Parameters ---------- @@ -263,15 +259,15 @@ super(PointsNesProvidentia, self)._create_dimensions(netcdf) # Create grid_edge, model_latitude and model_longitude dimensions - netcdf.createDimension('grid_edge', len(self._grid_edge_lon['data'])) - netcdf.createDimension('model_latitude', self._model_centre_lon['data'].shape[0]) - netcdf.createDimension('model_longitude', self._model_centre_lon['data'].shape[1]) + netcdf.createDimension("grid_edge", len(self._grid_edge_lon["data"])) + netcdf.createDimension("model_latitude", self._model_centre_lon["data"].shape[0]) + netcdf.createDimension("model_longitude", self._model_centre_lon["data"].shape[1]) return None def _create_dimension_variables(self, netcdf): """ - Create the 'model_centre_lon', model_centre_lat', 'grid_edge_lon' and 'grid_edge_lat' variables. + Create the "model_centre_lon", model_centre_lat", "grid_edge_lon" and "grid_edge_lat" variables. Parameters ---------- @@ -282,64 +278,65 @@ super(PointsNesProvidentia, self)._create_dimension_variables(netcdf) # MODEL CENTRE LONGITUDES - model_centre_lon = netcdf.createVariable('model_centre_longitude', 'f8', - ('model_latitude', 'model_longitude',), + model_centre_lon = netcdf.createVariable("model_centre_longitude", "f8", + ("model_latitude", "model_longitude",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - model_centre_lon.units = 'degrees_east' - model_centre_lon.axis = 'X' - model_centre_lon.long_name = 'model centre longitude' - model_centre_lon.standard_name = 'model centre longitude' + model_centre_lon.units = "degrees_east" + model_centre_lon.axis = "X" + model_centre_lon.long_name = "model centre longitude" + model_centre_lon.standard_name = "model centre longitude" if self.size > 1: model_centre_lon.set_collective(True) - msg = '2D meshed grid centre longitudes with ' - msg += '{} longitudes in {} bands of latitude'.format(self._model_centre_lon['data'].shape[1], - self._model_centre_lat['data'].shape[0]) + msg = "2D meshed grid centre longitudes with " + msg += "{} longitudes in {} bands of latitude".format(self._model_centre_lon["data"].shape[1], + self._model_centre_lat["data"].shape[0]) model_centre_lon.description = msg - model_centre_lon[:] = self._model_centre_lon['data'] + model_centre_lon[:] = self._model_centre_lon["data"] # MODEL CENTRE LATITUDES - model_centre_lat = netcdf.createVariable('model_centre_latitude', 'f8', - ('model_latitude','model_longitude',), + model_centre_lat = netcdf.createVariable("model_centre_latitude", "f8", + ("model_latitude", "model_longitude",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - model_centre_lat.units = 'degrees_north' - model_centre_lat.axis = 'Y' - model_centre_lat.long_name = 'model centre latitude' - model_centre_lat.standard_name = 'model centre latitude' + model_centre_lat.units = "degrees_north" + model_centre_lat.axis = "Y" + model_centre_lat.long_name = "model centre latitude" + model_centre_lat.standard_name = "model centre latitude" if self.size > 1: model_centre_lat.set_collective(True) - msg = '2D meshed grid centre longitudes with ' - msg += '{} longitudes in {} bands of latitude'.format(self._model_centre_lon['data'].shape[1], - self._model_centre_lat['data'].shape[0]) - model_centre_lat[:] = self._model_centre_lat['data'] + msg = "2D meshed grid centre longitudes with " + msg += "{} longitudes in {} bands of latitude".format(self._model_centre_lon["data"].shape[1], + self._model_centre_lat["data"].shape[0]) + model_centre_lat[:] = self._model_centre_lat["data"] # GRID EDGE DOMAIN LONGITUDES - grid_edge_lon = netcdf.createVariable('grid_edge_longitude', 'f8', ('grid_edge')) - grid_edge_lon.units = 'degrees_east' - grid_edge_lon.axis = 'X' - grid_edge_lon.long_name = 'grid edge longitude' - grid_edge_lon.standard_name = 'grid edge longitude' + grid_edge_lon = netcdf.createVariable("grid_edge_longitude", "f8", "grid_edge") + grid_edge_lon.units = "degrees_east" + grid_edge_lon.axis = "X" + grid_edge_lon.long_name = "grid edge longitude" + grid_edge_lon.standard_name = "grid edge longitude" if self.size > 1: grid_edge_lon.set_collective(True) - msg = 'Longitude coordinate along edge of grid domain ' - msg += '(going clockwise around grid boundary from bottom-left corner).' + msg = "Longitude coordinate along edge of grid domain " + msg += "(going clockwise around grid boundary from bottom-left corner)." grid_edge_lon.description = msg - grid_edge_lon[:] = self._grid_edge_lon['data'] + grid_edge_lon[:] = self._grid_edge_lon["data"] # GRID EDGE DOMAIN LATITUDES - grid_edge_lat = netcdf.createVariable('grid_edge_latitude', 'f8', ('grid_edge')) - grid_edge_lat.units = 'degrees_north' - grid_edge_lat.axis = 'Y' - grid_edge_lat.long_name = 'grid edge latitude' - grid_edge_lat.standard_name = 'grid edge latitude' + grid_edge_lat = netcdf.createVariable("grid_edge_latitude", "f8", "grid_edge") + grid_edge_lat.units = "degrees_north" + grid_edge_lat.axis = "Y" + grid_edge_lat.long_name = "grid edge latitude" + grid_edge_lat.standard_name = "grid edge latitude" if self.size > 1: grid_edge_lat.set_collective(True) - msg = 'Latitude coordinate along edge of grid domain ' - msg += '(going clockwise around grid boundary from bottom-left corner).' + msg = "Latitude coordinate along edge of grid domain " + msg += "(going clockwise around grid boundary from bottom-left corner)." grid_edge_lat.description = msg - grid_edge_lat[:] = self._grid_edge_lat['data'] + grid_edge_lat[:] = self._grid_edge_lat["data"] - self.free_vars(('model_centre_longitude', 'model_centre_latitude', 'grid_edge_longitude', 'grid_edge_latitude')) + self.free_vars(["model_centre_longitude", "model_centre_latitude", "grid_edge_longitude", "grid_edge_latitude"]) + # noinspection DuplicatedCode def _get_coordinate_values(self, coordinate_info, coordinate_axis, bounds=False): """ Get the coordinate data of the current portion. @@ -347,9 +344,9 @@ Parameters ---------- coordinate_info : dict, list - Dictionary with the 'data' key with the coordinate variable values. and the attributes as other keys. + Dictionary with the "data" key with the coordinate variable values. and the attributes as other keys. coordinate_axis : str - Name of the coordinate to extract. Accepted values: ['X']. + Name of the coordinate to extract. Accepted values: ["X"]. bounds : bool Boolean variable to know if there are coordinate bounds. Returns @@ -362,32 +359,33 @@ return None if not isinstance(coordinate_info, dict): - values = {'data': deepcopy(coordinate_info)} + values = {"data": deepcopy(coordinate_info)} else: values = deepcopy(coordinate_info) - coordinate_len = len(values['data'].shape) + coordinate_len = len(values["data"].shape) if bounds: coordinate_len -= 1 - if coordinate_axis == 'X': + if coordinate_axis == "X": if coordinate_len == 1: - values['data'] = values['data'][self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] + values["data"] = values["data"][self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] elif coordinate_len == 2: - values['data'] = values['data'][self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], - self.read_axis_limits['t_min']:self.read_axis_limits['t_max']] + values["data"] = values["data"][self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"], + self.read_axis_limits["t_min"]:self.read_axis_limits["t_max"]] elif coordinate_len == 3: - values['data'] = values['data'][self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], - self.read_axis_limits['t_min']:self.read_axis_limits['t_max'], :] + values["data"] = values["data"][self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"], + self.read_axis_limits["t_min"]:self.read_axis_limits["t_max"], :] else: raise NotImplementedError("The coordinate has wrong dimensions: {dim}".format( - dim=values['data'].shape)) - elif coordinate_axis == '': - # pass for 'model_centre_lon', 'model_centre_lat', 'grid_edge_lon' and 'grid_edge_lat' + dim=values["data"].shape)) + elif coordinate_axis == "": + # pass for "model_centre_lon", "model_centre_lat", "grid_edge_lon" and "grid_edge_lat" pass return values + # noinspection DuplicatedCode def _read_variable(self, var_name): """ Read the corresponding variable data according to the current rank. @@ -399,25 +397,24 @@ Returns ------- - data: np.array + data: array Portion of the variable data corresponding to the rank. """ - - nc_var = self.netcdf.variables[var_name] + nc_var = self.dataset.variables[var_name] var_dims = nc_var.dimensions # Read data in 1, 2 or 3 dimensions if len(var_dims) < 2: - data = nc_var[self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] + data = nc_var[self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"]] elif len(var_dims) == 2: - data = nc_var[self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], - self.read_axis_limits['t_min']:self.read_axis_limits['t_max']] + data = nc_var[self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"], + self.read_axis_limits["t_min"]:self.read_axis_limits["t_max"]] elif len(var_dims) == 3: - data = nc_var[self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], - self.read_axis_limits['t_min']:self.read_axis_limits['t_max'], + data = nc_var[self.read_axis_limits["x_min"]:self.read_axis_limits["x_max"], + self.read_axis_limits["t_min"]:self.read_axis_limits["t_max"], :] else: - raise NotImplementedError('Error with {0}. Only can be read netCDF with 3 dimensions or less'.format( + raise NotImplementedError("Error with {0}. Only can be read netCDF with 3 dimensions or less".format( var_name)) # Unmask array @@ -425,6 +422,7 @@ return data + # noinspection DuplicatedCode def _create_variables(self, netcdf, chunking=False): """ Create the netCDF file variables. @@ -440,50 +438,50 @@ if self.variables is not None: for i, (var_name, var_dict) in enumerate(self.variables.items()): # Get data type - if 'dtype' in var_dict.keys(): - var_dtype = var_dict['dtype'] - if (var_dict['data'] is not None) and (var_dtype != var_dict['data'].dtype): + if "dtype" in var_dict.keys(): + var_dtype = var_dict["dtype"] + if (var_dict["data"] is not None) and (var_dtype != var_dict["data"].dtype): msg = "WARNING!!! " msg += "Different data types for variable {0}. ".format(var_name) msg += "Input dtype={0}. Data dtype={1}.".format(var_dtype, - var_dict['data'].dtype) - warnings.warn(msg) + var_dict["data"].dtype) + warn(msg) sys.stderr.flush() try: - var_dict['data'] = var_dict['data'].astype(var_dtype) - except Exception as e: # TODO: Detect exception - raise e("It was not possible to cast the data to the input dtype.") + var_dict["data"] = var_dict["data"].astype(var_dtype) + except Exception: # TODO: Detect exception + raise TypeError("It was not possible to cast the data to the input dtype.") else: - var_dtype = var_dict['data'].dtype - if var_dtype is np.object: - raise TypeError("Data dtype is np.object. Define dtype explicitly as dictionary key 'dtype'") + var_dtype = var_dict["data"].dtype + if var_dtype is object: + raise TypeError("Data dtype is object. Define dtype explicitly as dictionary key 'dtype'") # Get dimensions when reading datasets - if 'dimensions' in var_dict.keys(): - var_dims = var_dict['dimensions'] + if "dimensions" in var_dict.keys(): + var_dims = var_dict["dimensions"] # Get dimensions when creating new datasets else: - if len(var_dict['data'].shape) == 1: + if len(var_dict["data"].shape) == 1: # For data that depends only on station (e.g. station_code) var_dims = self._var_dim else: # For data that is dependent on time and station (e.g. PM10) - var_dims = self._var_dim + ('time',) + var_dims = self._var_dim + ("time",) - if var_dict['data'] is not None: + if var_dict["data"] is not None: # Ensure data is of type numpy array (to create NES) - if not isinstance(var_dict['data'], (np.ndarray, np.generic)): + if not isinstance(var_dict["data"], (ndarray, generic)): try: - var_dict['data'] = np.array(var_dict['data']) + var_dict["data"] = array(var_dict["data"]) except AttributeError: raise AttributeError("Data for variable {0} must be a numpy array.".format(var_name)) # Convert list of strings to chars for parallelization - if np.issubdtype(var_dtype, np.character): - var_dict['data_aux'] = self.str2char(var_dict['data']) - var_dims += ('strlen',) - var_dtype = 'S1' + if issubdtype(var_dtype, character): + var_dict["data_aux"] = self._str2char(var_dict["data"]) + var_dims += ("strlen",) + var_dtype = "S1" if self.info: print("Rank {0:03d}: Writing {1} var ({2}/{3})".format(self.rank, var_name, i + 1, @@ -494,7 +492,7 @@ zlib=self.zip_lvl > 0, complevel=self.zip_lvl) else: if self.master: - chunk_size = var_dict['data'].shape + chunk_size = var_dict["data"].shape else: chunk_size = None chunk_size = self.comm.bcast(chunk_size, root=0) @@ -511,74 +509,74 @@ self.rank, var_name, i + 1, len(self.variables))) for att_name, att_value in var_dict.items(): - if att_name == 'data': + if att_name == "data": if self.info: print("Rank {0:03d}: Filling {1})".format(self.rank, var_name)) - if 'data_aux' in var_dict.keys(): - att_value = var_dict['data_aux'] + if "data_aux" in var_dict.keys(): + att_value = var_dict["data_aux"] if len(att_value.shape) == 1: try: - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max']] = att_value + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]] = att_value except IndexError: raise IndexError("Different shapes. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max']].shape, + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]].shape, att_value.shape)) except ValueError: raise ValueError("Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max']].shape, + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]].shape, att_value.shape)) elif len(att_value.shape) == 2: - if 'strlen' in var_dims: + if "strlen" in var_dims: try: - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], :] = att_value + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :] = att_value except IndexError: raise IndexError("Different shapes. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], :].shape, - att_value.shape)) + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :].shape, + att_value.shape)) except ValueError: raise ValueError("Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], :].shape, - att_value.shape)) + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :].shape, + att_value.shape)) else: try: - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], - self.write_axis_limits['t_min']:self.write_axis_limits['t_max']] = att_value + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], + self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"]] = att_value except IndexError: raise IndexError("Different shapes. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], - self.write_axis_limits['t_min']:self.write_axis_limits['t_max']].shape, - att_value.shape)) + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], + self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"]].shape, + att_value.shape)) except ValueError: raise ValueError("Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], - self.write_axis_limits['t_min']:self.write_axis_limits['t_max']].shape, - att_value.shape)) + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], + self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"]].shape, + att_value.shape)) elif len(att_value.shape) == 3: try: - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], - self.write_axis_limits['t_min']:self.write_axis_limits['t_max'], + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], + self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], :] = att_value except IndexError: raise IndexError("Different shapes. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], - self.write_axis_limits['t_min']:self.write_axis_limits['t_max'], + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], + self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], :].shape, att_value.shape)) except ValueError: raise ValueError("Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( - var[self.write_axis_limits['x_min']:self.write_axis_limits['x_max'], - self.write_axis_limits['t_min']:self.write_axis_limits['t_max'], + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], + self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], :].shape, att_value.shape)) if self.info: print("Rank {0:03d}: Var {1} data ({2}/{3})".format(self.rank, var_name, i + 1, len(self.variables))) - elif att_name not in ['chunk_size', 'var_dims', 'dimensions', 'dtype', 'data_aux']: + elif att_name not in ["chunk_size", "var_dims", "dimensions", "dtype", "data_aux"]: var.setncattr(att_name, att_value) - if 'data_aux' in var_dict.keys(): - del var_dict['data_aux'] + if "data_aux" in var_dict.keys(): + del var_dict["data_aux"] self._set_var_crs(var) if self.info: @@ -586,7 +584,8 @@ len(self.variables))) return None - + + # noinspection DuplicatedCode def _gather_data(self, data_to_gather): """ Gather all the variable data into the MPI rank 0 to perform a serial write. @@ -601,11 +600,11 @@ for var_name, var_info in data_list.items(): try: # noinspection PyArgumentList - data_aux = self.comm.gather(data_list[var_name]['data'], root=0) + data_aux = self.comm.gather(data_list[var_name]["data"], root=0) if self.rank == 0: - shp_len = len(data_list[var_name]['data'].shape) + shp_len = len(data_list[var_name]["data"].shape) # concatenate over station - if self.parallel_method == 'X': + if self.parallel_method == "X": if shp_len == 1: # dimensions = (station) axis = 0 @@ -614,47 +613,46 @@ # dimensions = (station, time) axis = 0 else: - msg = 'The points NetCDF must have ' - msg += 'surface values (without levels).' + msg = "The points NetCDF must have " + msg += "surface values (without levels)." raise NotImplementedError(msg) - elif self.parallel_method == 'T': + elif self.parallel_method == "T": # concatenate over time if shp_len == 1: # dimensions = (station) axis = None - continue elif shp_len == 2: - if 'strlen' in var_info['dimensions']: + if "strlen" in var_info["dimensions"]: # dimensions = (station, strlen) axis = None - continue else: # dimensions = (station, time) axis = 1 else: - msg = 'The points NetCDF must have ' - msg += 'surface values (without levels).' + msg = "The points NetCDF must have " + msg += "surface values (without levels)." raise NotImplementedError(msg) else: raise NotImplementedError( "Parallel method '{meth}' is not implemented. Use one of these: {accept}".format( - meth=self.parallel_method, accept=['X', 'T'])) - data_list[var_name]['data'] = np.concatenate(data_aux, axis=axis) + meth=self.parallel_method, accept=["X", "T"])) + data_list[var_name]["data"] = concatenate(data_aux, axis=axis) except Exception as e: - print("**ERROR** an error has occurred while gathering the '{0}' variable.\n".format(var_name)) - sys.stderr.write("**ERROR** an error has occurred while gathering the '{0}' variable.\n".format(var_name)) + msg = f"**ERROR** an error has occurred while gathering the '{var_name}' variable.\n" + print(msg) + sys.stderr.write(msg) print(e) sys.stderr.write(str(e)) # print(e, file=sys.stderr) sys.stderr.flush() self.comm.Abort(1) - raise e return data_list
[docs] - def to_netcdf(self, path, compression_level=0, serial=False, info=False, chunking=False): + def to_netcdf(self, path, compression_level=0, serial=False, info=False, chunking=False, nc_type="NES", + keep_open=False): """ Write the netCDF output file. @@ -669,14 +667,18 @@ info : bool Indicates if you want to print the information of each writing step by stdout Default: False. chunking : bool - Indicates if you want a chunked netCDF output. Only available with non serial writes. Default: False. + Indicates if you want a chunked netCDF output. Only available with non-serial writes. Default: False. + nc_type : str + Type to NetCDf to write. "CAMS_RA" or "NES" + keep_open : bool + Indicates if you want to keep open the NetCDH to fill the data by time-step """ if (not serial) and (self.size > 1): - msg = 'WARNING!!! ' - msg += 'Providentia datasets cannot be written in parallel yet. ' - msg += 'Changing to serial mode.' - warnings.warn(msg) + msg = "WARNING!!! " + msg += "Providentia datasets cannot be written in parallel yet. " + msg += "Changing to serial mode." + warn(msg) sys.stderr.flush() super(PointsNesProvidentia, self).to_netcdf(path, compression_level=compression_level, @@ -685,6 +687,7 @@ return None
+ # noinspection DuplicatedCode
[docs] def add_variables_to_shapefile(self, var_list, idx_lev=0, idx_time=0): @@ -700,25 +703,25 @@ """ if idx_lev != 0: - msg = 'Error: Points dataset has no level (Level: {0}).'.format(idx_lev) + msg = "Error: Points dataset has no level (Level: {0}).".format(idx_lev) raise ValueError(msg) for var_name in var_list: # station as dimension - if len(self.variables[var_name]['dimensions']) == 1: - self.shapefile[var_name] = self.variables[var_name]['data'][:].ravel() + if len(self.variables[var_name]["dimensions"]) == 1: + self.shapefile[var_name] = self.variables[var_name]["data"][:].ravel() # station and time as dimensions else: - self.shapefile[var_name] = self.variables[var_name]['data'][:, idx_time].ravel() + self.shapefile[var_name] = self.variables[var_name]["data"][:, idx_time].ravel() return None
@staticmethod def _get_axis_index_(axis): - if axis == 'T': + if axis == "T": value = 1 - elif axis == 'X': + elif axis == "X": value = 0 else: raise ValueError("Unknown axis: {0}".format(axis)) diff --git a/docs/build/html/_modules/nes/nc_projections/rotated_nes.html b/docs/build/html/_modules/nes/nc_projections/rotated_nes.html index b0a044994e23bf9744b0501f9c5b1880ddb2c448..3c67ee3321ea27f5195e7d4d144c98c4f63a335e 100644 --- a/docs/build/html/_modules/nes/nc_projections/rotated_nes.html +++ b/docs/build/html/_modules/nes/nc_projections/rotated_nes.html @@ -79,15 +79,14 @@

Source code for nes.nc_projections.rotated_nes

 #!/usr/bin/env python
 
-import warnings
-import sys
-import numpy as np
-import pandas as pd
-import math
-from cfunits import Units
+from numpy import (float64, linspace, cos, sin, arcsin, arctan2, array, mean, diff, append, flip, repeat, concatenate,
+                   vstack)
+from math import pi
+from geopandas import GeoDataFrame
+from pandas import Index
 from pyproj import Proj
 from copy import deepcopy
-import geopandas as gpd
+from typing import Dict, Any
 from shapely.geometry import Polygon, Point
 from .default_nes import Nes
 
@@ -99,25 +98,25 @@
 
     Attributes
     ----------
-    _rlat : dict
-        Rotated latitudes dictionary with the complete 'data' key for all the values and the rest of the attributes.
-    _rlon : dict
-        Rotated longitudes dictionary with the complete 'data' key for all the values and the rest of the attributes.
+    _full_rlat : dict
+        Rotated latitudes dictionary with the complete "data" key for all the values and the rest of the attributes.
+    _full_rlon : dict
+        Rotated longitudes dictionary with the complete "data" key for all the values and the rest of the attributes.
     rlat : dict
-        Rotated latitudes dictionary with the portion of 'data' corresponding to the rank values.
+        Rotated latitudes dictionary with the portion of "data" corresponding to the rank values.
     rlon : dict
-        Rotated longitudes dictionary with the portion of 'data' corresponding to the rank values.
+        Rotated longitudes dictionary with the portion of "data" corresponding to the rank values.
     _var_dim : tuple
-        Tuple with the name of the Y and X dimensions for the variables.
-        ('rlat', 'rlon') for a rotated projection.
+        A Tuple with the name of the Y and X dimensions for the variables.
+        ("rlat", "rlon") for a rotated projection.
     _lat_dim : tuple
-        Tuple with the name of the dimensions of the Latitude values.
-        ('rlat', 'rlon') for a rotated projection.
+        A Tuple with the name of the dimensions of the Latitude values.
+        ("rlat", "rlon") for a rotated projection.
     _lon_dim : tuple
-        Tuple with the name of the dimensions of the Longitude values.
-        ('rlat', 'rlon') for a rotated projection.
+        A Tuple with the name of the dimensions of the Longitude values.
+        ("rlat", "rlon") for a rotated projection.
     """
-    def __init__(self, comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y',
+    def __init__(self, comm=None, path=None, info=False, dataset=None, parallel_method="Y",
                  avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False,
                  balanced=False, times=None, **kwargs):
         """
@@ -133,11 +132,9 @@
             Indicates if you want to get reading/writing info.
         dataset: Dataset
             NetCDF4-python Dataset to initialize the class.
-        xarray: bool:
-            (Not working) Indicates if you want to use xarray as default.
         parallel_method : str
-            Indicates the parallelization method that you want. Default: 'Y'.
-            Accepted values: ['X', 'Y', 'T'].
+            Indicates the parallelization method that you want. Default: "Y".
+            Accepted values: ["X", "Y", "T"].
         avoid_first_hours : int
             Number of hours to remove from first time steps.
         avoid_last_hours : int
@@ -154,40 +151,44 @@
         times : list, None
             List of times to substitute the current ones while creation.
         """
+        self._full_rlat = None
+        self._full_rlon = None
 
         super(RotatedNes, self).__init__(comm=comm, path=path,
                                          info=info, dataset=dataset, balanced=balanced,
-                                         xarray=xarray, parallel_method=parallel_method,
+                                         parallel_method=parallel_method,
                                          avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours,
                                          first_level=first_level, last_level=last_level, create_nes=create_nes,
                                          times=times, **kwargs)
 
         if create_nes:
+            # Complete dimensions
+            # self._full_rlat, self._full_rlon = self._create_rotated_coordinates()
             # Dimensions screening
-            self.lat = self._get_coordinate_values(self._lat, 'Y')
-            self.lon = self._get_coordinate_values(self._lon, 'X')
+            self.lat = self._get_coordinate_values(self.get_full_latitudes(), "Y")
+            self.lon = self._get_coordinate_values(self.get_full_longitudes(), "X")
         else:
             # Complete dimensions
-            self._rlat = self._get_coordinate_dimension('rlat')
-            self._rlon = self._get_coordinate_dimension('rlon')
+            self._full_rlat = self._get_coordinate_dimension("rlat")
+            self._full_rlon = self._get_coordinate_dimension("rlon")
 
         # Dimensions screening
-        self.rlat = self._get_coordinate_values(self._rlat, 'Y')
-        self.rlon = self._get_coordinate_values(self._rlon, 'X')
+        self.rlat = self._get_coordinate_values(self.get_full_rlat(), "Y")
+        self.rlon = self._get_coordinate_values(self.get_full_rlon(), "X")
 
         # Set axis limits for parallel writing
-        self.write_axis_limits = self.get_write_axis_limits()
+        self.write_axis_limits = self._get_write_axis_limits()
 
-        self._var_dim = ('rlat', 'rlon')
-        self._lat_dim = ('rlat', 'rlon')
-        self._lon_dim = ('rlat', 'rlon')
+        self._var_dim = ("rlat", "rlon")
+        self._lat_dim = ("rlat", "rlon")
+        self._lon_dim = ("rlat", "rlon")
 
 

 [docs]
     @staticmethod
-    def new(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y', 
-            avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None,
-            create_nes=False, balanced=False, times=None, **kwargs):
+    def new(comm=None, path=None, info=False, dataset=None, parallel_method="Y",
+            avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False,
+            balanced=False, times=None, **kwargs):
         """
         Initialize the Nes class.
 
@@ -201,25 +202,27 @@
             Indicates if you want to get reading/writing info.
         dataset: Dataset
             NetCDF4-python Dataset to initialize the class.
-        xarray: bool:
-            (Not working) Indicates if you want to use xarray as default.
         parallel_method : str
-            Indicates the parallelization method that you want. Default: 'Y'.
-            Accepted values: ['X', 'Y', 'T'].
+            Indicates the parallelization method that you want. Default over Y axis
+            accepted values: ["X", "Y", "T"].
         avoid_first_hours : int
             Number of hours to remove from first time steps.
         avoid_last_hours : int
             Number of hours to remove from last time steps.
+        first_level : int
+            Index of the first level to use.
+        last_level : int or None
+            Index of the last level to use. None if it is the last.
         create_nes : bool
             Indicates if you want to create the object from scratch (True) or through an existing file.
         balanced : bool
-            Indicates if you want a balanced parallelization or not. 
+            Indicates if you want a balanced parallelization or not.
             Balanced dataset cannot be written in chunking mode.
-        times : list, None
+        times : List[datetime] or None
             List of times to substitute the current ones while creation.
         """
 
-        new = RotatedNes(comm=comm, path=path, info=info, dataset=dataset, xarray=xarray,
+        new = RotatedNes(comm=comm, path=path, info=info, dataset=dataset,
                          parallel_method=parallel_method, avoid_first_hours=avoid_first_hours,
                          avoid_last_hours=avoid_last_hours, first_level=first_level, last_level=last_level,
                          create_nes=create_nes, balanced=balanced, times=times, **kwargs)
@@ -227,26 +230,115 @@
         return new

 
 
-

-[docs]
-    def filter_coordinates_selection(self):
+

+[docs]
+    def get_full_rlat(self) -> Dict[str, Any]:
         """
-        Use the selection limits to filter rlat, rlon, time, lev, lat, lon, lon_bnds and lat_bnds.
+        Retrieve the complete rotated latitude information.
+
+        Returns
+        -------
+        Dict[str, Any]
+            A dictionary containing the complete latitude data and its attributes.
+            The dictionary structure is:
+            {
+                "data": ndarray,  # Array of latitude values.
+                attr_name: attr_value,  # Latitude attributes.
+                ...
+            }
+        """
+        data = self.comm.bcast(self._full_rlat)
+
+        return data

+
+
+

+[docs]
+    def get_full_rlon(self) -> Dict[str, Any]:
+        """
+        Retrieve the complete rotated longitude information.
+
+        Returns
+        -------
+        Dict[str, Any]
+            A dictionary containing the complete longitude data and its attributes.
+            The dictionary structure is:
+            {
+                "data": ndarray,  # Array of longitude values.
+                attr_name: attr_value,  # Longitude attributes.
+                ...
+            }
         """
+        data = self.comm.bcast(self._full_rlon)
+        return data

 
-        idx = self.get_idx_intervals()
 
-        self.rlat = self._get_coordinate_values(self._rlat, 'Y')
-        self.rlon = self._get_coordinate_values(self._rlon, 'X')
+

+[docs]
+    def set_full_rlat(self, data: Dict[str, Any]) -> None:
+        """
+        Set the complete rotated latitude information.
 
-        self._rlat['data'] = self._rlat['data'][idx['idx_y_min']:idx['idx_y_max']]
-        self._rlon['data'] = self._rlon['data'][idx['idx_x_min']:idx['idx_x_max']]
+        Parameters
+        ----------
+        data : Dict[str, Any]
+            A dictionary containing the complete latitude data and its attributes.
+            The dictionary structure is:
+            {
+                "data": ndarray,  # Array of latitude values.
+                attr_name: attr_value,  # Latitude attributes.
+                ...
+            }
+        """
+        if self.master:
+            self._full_rlat = data
+        return None

 
-        super(RotatedNes, self).filter_coordinates_selection()
 
+

+[docs]
+    def set_full_rlon(self, data: Dict[str, Any]) -> None:
+        """
+        Set the complete rotated longitude information.
+
+        Parameters
+        ----------
+        data : Dict[str, Any]
+            A dictionary containing the complete longitude data and its attributes.
+            The dictionary structure is:
+            {
+                "data": ndarray,  # Array of longitude values.
+                attr_name: attr_value,  # Longitude attributes.
+                ...
+            }
+        """
+        if self.master:
+            self._full_rlon = data
         return None

 
 
+    # noinspection DuplicatedCode
+    def _filter_coordinates_selection(self):
+        """
+        Use the selection limits to filter rlat, rlon, time, lev, lat, lon, lon_bnds and lat_bnds.
+        """
+
+        idx = self._get_idx_intervals()
+
+        full_rlat = self.get_full_rlat()
+        full_rlon = self.get_full_rlon()
+
+        self.rlat = self._get_coordinate_values(full_rlat, "Y")
+        self.rlon = self._get_coordinate_values(full_rlon, "X")
+
+        if self.master:
+            self.set_full_rlat({'data': full_rlat["data"][idx["idx_y_min"]:idx["idx_y_max"]]})
+            self.set_full_rlon({'data': full_rlon["data"][idx["idx_x_min"]:idx["idx_x_max"]]})
+
+        super(RotatedNes, self)._filter_coordinates_selection()
+
+        return None
+
     def _get_pyproj_projection(self):
         """
         Get projection data as in Pyproj library.
@@ -257,64 +349,59 @@
             Grid projection.
         """
 
-        projection = Proj(proj='ob_tran',
+        projection = Proj(proj="ob_tran",
                           o_proj="longlat",
-                          ellps='WGS84',
+                          ellps="WGS84",
                           R=self.earth_radius[0],
-                          o_lat_p=np.float64(self.projection_data['grid_north_pole_latitude']),
-                          o_lon_p=np.float64(self.projection_data['grid_north_pole_longitude']),
-                         )
+                          o_lat_p=float64(self.projection_data["grid_north_pole_latitude"]),
+                          o_lon_p=float64(self.projection_data["grid_north_pole_longitude"]),
+                          )
             
         return projection
-    
-    def _get_projection(self):
+
+    # noinspection DuplicatedCode
+    def _get_projection_data(self, create_nes, **kwargs):
         """
-        Get 'projection' and 'projection_data' from grid details.
-        """
+        Retrieves projection data based on grid details.
 
-        if 'rotated_pole' in self.variables.keys():
-            projection_data = self.variables['rotated_pole']
-            self.free_vars('rotated_pole')
+        Parameters
+        ----------
+        create_nes : bool
+            Flag indicating whether to create new object (True) or use existing (False).
+        **kwargs : dict
+            Additional keyword arguments for specifying projection details.
+        """
+        if create_nes:
+            projection_data = {"grid_mapping_name": "rotated_latitude_longitude",
+                               "grid_north_pole_latitude": 90 - kwargs["centre_lat"],
+                               "grid_north_pole_longitude": -180 + kwargs["centre_lon"],
+                               "inc_rlat": kwargs["inc_rlat"],
+                               "inc_rlon": kwargs["inc_rlon"],
+                               "south_boundary": kwargs["south_boundary"],
+                               "west_boundary": kwargs["west_boundary"],
+                               }
         else:
-            msg = 'There is no variable called rotated_pole, projection has not been defined.'
-            raise RuntimeError(msg)
-        
-        if 'dtype' in projection_data.keys():
-            del projection_data['dtype']
-        
-        if 'data' in projection_data.keys():
-            del projection_data['data']
-        
-        if 'dimensions' in projection_data.keys():
-            del projection_data['dimensions'] 
+            if "rotated_pole" in self.variables.keys():
+                projection_data = self.variables["rotated_pole"]
+                self.free_vars("rotated_pole")
+            else:
+                msg = "There is no variable called rotated_pole, projection has not been defined."
+                raise RuntimeError(msg)
 
-        self.projection_data = projection_data
-        self.projection = self._get_pyproj_projection()
+            if "dtype" in projection_data.keys():
+                del projection_data["dtype"]
 
-        return None
-    
-    def _create_projection(self, **kwargs):
-        """
-        Create 'projection' and 'projection_data' from projection arguments.
-        """
+            if "data" in projection_data.keys():
+                del projection_data["data"]
 
-        projection_data = {'grid_mapping_name': 'rotated_latitude_longitude',
-                           'grid_north_pole_latitude': 90 - kwargs['centre_lat'],
-                           'grid_north_pole_longitude': -180 + kwargs['centre_lon'],
-                           'inc_rlat': kwargs['inc_rlat'], 
-                           'inc_rlon': kwargs['inc_rlon'], 
-                           'south_boundary': kwargs['south_boundary'],
-                           'west_boundary': kwargs['west_boundary'],
-                          }
+            if "dimensions" in projection_data.keys():
+                del projection_data["dimensions"]
 
-        self.projection_data = projection_data
-        self.projection = self._get_pyproj_projection()
-
-        return None
+        return projection_data
 
     def _create_dimensions(self, netcdf):
         """
-        Create 'rlat', 'rlon'  and 'spatial_nv' dimensions and the super dimensions 'lev', 'time', 'time_nv', 'lon' and 'lat'.
+        Create "rlat", "rlon"  and "spatial_nv" dimensions and the dimensions "lev", "time", "time_nv", "lon" and "lat".
 
         Parameters
         ----------
@@ -324,52 +411,54 @@
 
         super(RotatedNes, self)._create_dimensions(netcdf)
 
+        shape = self.get_full_shape()
         # Create rlat and rlon dimensions
-        netcdf.createDimension('rlon', len(self._rlon['data']))
-        netcdf.createDimension('rlat', len(self._rlat['data']))
+        netcdf.createDimension("rlon", shape[1])
+        netcdf.createDimension("rlat", shape[0])
 
         # Create spatial_nv (number of vertices) dimension
-        if (self._lat_bnds is not None) and (self._lon_bnds is not None):
-            netcdf.createDimension('spatial_nv', 4)
+        if (self.lat_bnds is not None) and (self.lon_bnds is not None):
+            netcdf.createDimension("spatial_nv", 4)
             pass
 
         return None
 
     def _create_dimension_variables(self, netcdf):
         """
-        Create the 'rlat' and 'rlon' variables.
+        Create the "rlat" and "rlon" variables.
 
         Parameters
         ----------
         netcdf : Dataset
             NetCDF object.
         """
-
         super(RotatedNes, self)._create_dimension_variables(netcdf)
 
         # ROTATED LATITUDES
-        rlat = netcdf.createVariable('rlat', self._rlat['data'].dtype, ('rlat',))
+        full_rlat = self.get_full_rlat()
+        rlat = netcdf.createVariable("rlat", full_rlat["data"].dtype, ("rlat",))
         rlat.long_name = "latitude in rotated pole grid"
-        if 'units' in self._rlat.keys():
-            rlat.units = Units(self._rlat['units'], formatted=True).units
+        if "units" in full_rlat.keys():
+            rlat.units = full_rlat["units"]
         else:
-            rlat.units = 'degrees'
+            rlat.units = "degrees"
         rlat.standard_name = "grid_latitude"
         if self.size > 1:
             rlat.set_collective(True)
-        rlat[:] = self._rlat['data']
+        rlat[:] = full_rlat["data"]
 
         # ROTATED LONGITUDES
-        rlon = netcdf.createVariable('rlon', self._rlon['data'].dtype, ('rlon',))
+        full_rlon = self.get_full_rlon()
+        rlon = netcdf.createVariable("rlon", full_rlon["data"].dtype, ("rlon",))
         rlon.long_name = "longitude in rotated pole grid"
-        if 'units' in self._rlon.keys():
-            rlon.units = Units(self._rlon['units'], formatted=True).units
+        if "units" in full_rlon.keys():
+            rlon.units = full_rlon["units"]
         else:
-            rlon.units = 'degrees'
+            rlon.units = "degrees"
         rlon.standard_name = "grid_longitude"
         if self.size > 1:
             rlon.set_collective(True)
-        rlon[:] = self._rlon['data']
+        rlon[:] = full_rlon["data"]
 
         return None
 
@@ -380,32 +469,27 @@
         Returns
         ----------
         _rlat : dict
-            Rotated latitudes dictionary with the complete 'data' key for all the values and the rest of the attributes.
+            Rotated latitudes dictionary with the "data" key for all the values and the rest of the attributes.
         _rlon : dict
-            Rotated longitudes dictionary with the complete 'data' key for all the values and the rest of the attributes.
+            Rotated longitudes dictionary with the "data" key for all the values and the rest of the attributes.
         """
-
         # Get grid resolution
-        inc_rlon = np.float64(self.projection_data['inc_rlon'])
-        inc_rlat = np.float64(self.projection_data['inc_rlat'])
+        inc_rlon = float64(self.projection_data["inc_rlon"])
+        inc_rlat = float64(self.projection_data["inc_rlat"])
 
         # Get south and west boundaries
-        south_boundary = np.float64(self.projection_data['south_boundary'])
-        west_boundary = np.float64(self.projection_data['west_boundary'])
+        south_boundary = float64(self.projection_data["south_boundary"])
+        west_boundary = float64(self.projection_data["west_boundary"])
 
         # Calculate rotated latitudes
         n_lat = int((abs(south_boundary) / inc_rlat) * 2 + 1)
-        rlat = np.linspace(south_boundary, 
-                           south_boundary + (inc_rlat * (n_lat - 1)), 
-                           n_lat, dtype=np.float64)
+        rlat = linspace(south_boundary, south_boundary + (inc_rlat * (n_lat - 1)), n_lat, dtype=float64)
 
         # Calculate rotated longitudes
         n_lon = int((abs(west_boundary) / inc_rlon) * 2 + 1)
-        rlon = np.linspace(west_boundary, 
-                           west_boundary + (inc_rlon * (n_lon - 1)), 
-                           n_lon, dtype=np.float64)
+        rlon = linspace(west_boundary, west_boundary + (inc_rlon * (n_lon - 1)), n_lon, dtype=float64)
 
-        return {'data': rlat}, {'data': rlon}
+        return {"data": rlat}, {"data": rlon}
 
 

 [docs]
@@ -415,50 +499,50 @@
 
         Parameters
         ----------
-        lon_deg : numpy.array
+        lon_deg : array
             Rotated longitude coordinate.
-        lat_deg : numpy.array
+        lat_deg : array
             Rotated latitude coordinate.
         lon_min : float
             Minimum value for the longitudes: -180 (-180 to 180) or 0 (0 to 360).
 
         Returns
         ----------
-        almd : numpy.array
+        almd : array
             Unrotated longitudes.
-        aphd : numpy.array
+        aphd : array
             Unrotated latitudes.
         """
 
         # Get centre coordinates
-        centre_lat = 90 - np.float64(self.projection_data['grid_north_pole_latitude'])
-        centre_lon = np.float64(self.projection_data['grid_north_pole_longitude']) + 180
+        centre_lat = 90 - float64(self.projection_data["grid_north_pole_latitude"])
+        centre_lon = float64(self.projection_data["grid_north_pole_longitude"]) + 180
 
         # Convert to radians
-        degrees_to_radians = math.pi / 180.
+        degrees_to_radians = pi / 180.
         tph0 = centre_lat * degrees_to_radians
         tlm = lon_deg * degrees_to_radians
         tph = lat_deg * degrees_to_radians
 
         tlm0d = -180 + centre_lon
-        ctph0 = np.cos(tph0)
-        stph0 = np.sin(tph0)
-        stlm = np.sin(tlm)
-        ctlm = np.cos(tlm)
-        stph = np.sin(tph)
-        ctph = np.cos(tph)
+        ctph0 = cos(tph0)
+        stph0 = sin(tph0)
+        stlm = sin(tlm)
+        ctlm = cos(tlm)
+        stph = sin(tph)
+        ctph = cos(tph)
 
         # Calculate unrotated latitudes
         sph = (ctph0 * stph) + (stph0 * ctph * ctlm)
         sph[sph > 1.] = 1.
         sph[sph < -1.] = -1.
-        aph = np.arcsin(sph)
+        aph = arcsin(sph)
         aphd = aph / degrees_to_radians
 
         # Calculate rotated longitudes
         anum = ctph * stlm
         denom = (ctlm * ctph - stph0 * sph) / ctph0
-        relm = np.arctan2(anum, denom) - math.pi
+        relm = arctan2(anum, denom) - pi
         almd = relm / degrees_to_radians + tlm0d
         almd[almd > (lon_min + 360)] -= 360
         almd[almd < lon_min] += 360
@@ -477,15 +561,18 @@
         centre_lon : dict
             Dictionary with data of centre coordinates for longitude in 2D (latitude, longitude).
         """
-        
-        # Complete dimensions
-        self._rlat, self._rlon = self._create_rotated_coordinates()
+        if self.master:
+            # Complete dimensions
+            self._full_rlat, self._full_rlon = self._create_rotated_coordinates()
 
-        # Calculate centre latitudes and longitudes (1D to 2D)
-        centre_lon, centre_lat = self.rotated2latlon(np.array([self._rlon['data']] * len(self._rlat['data'])),
-                                                     np.array([self._rlat['data']] * len(self._rlon['data'])).T)
+            # Calculate centre latitudes and longitudes (1D to 2D)
+            centre_lon, centre_lat = self.rotated2latlon(
+                array([self._full_rlon["data"]] * len(self._full_rlat["data"])),
+                array([self._full_rlat["data"]] * len(self._full_rlon["data"])).T)
 
-        return {'data': centre_lat}, {'data': centre_lon}
+            return {"data": centre_lat}, {"data": centre_lon}
+        else:
+            return None, None
 
 

 [docs]
@@ -510,6 +597,7 @@
         return model_centre_lat, model_centre_lon

 
 
+    # noinspection DuplicatedCode
 

 [docs]
     def create_providentia_exp_grid_edge_coordinates(self):
@@ -525,39 +613,40 @@
         """
 
         # Get grid resolution
-        inc_rlon = np.abs(np.mean(np.diff(self.rlon['data'])))
-        inc_rlat = np.abs(np.mean(np.diff(self.rlat['data'])))
+        inc_rlon = abs(mean(diff(self.rlon["data"])))
+        inc_rlat = abs(mean(diff(self.rlat["data"])))
 
         # Get bounds for rotated coordinates
-        rlat_bounds = self.create_single_spatial_bounds(self.rlat['data'], inc_rlat)
-        rlon_bounds = self.create_single_spatial_bounds(self.rlon['data'], inc_rlon)
+        rlat_bounds = self._create_single_spatial_bounds(self.rlat["data"], inc_rlat)
+        rlon_bounds = self._create_single_spatial_bounds(self.rlon["data"], inc_rlon)
 
         # Get rotated latitudes for grid edge
-        left_edge_rlat = np.append(rlat_bounds.flatten()[::2], rlat_bounds.flatten()[-1])
-        right_edge_rlat = np.flip(left_edge_rlat, 0)
-        top_edge_rlat = np.repeat(rlat_bounds[-1][-1], len(self.rlon['data']) - 1)
-        bottom_edge_rlat = np.repeat(rlat_bounds[0][0], len(self.rlon['data']))
-        rlat_grid_edge = np.concatenate((left_edge_rlat, top_edge_rlat, right_edge_rlat, bottom_edge_rlat))
+        left_edge_rlat = append(rlat_bounds.flatten()[::2], rlat_bounds.flatten()[-1])
+        right_edge_rlat = flip(left_edge_rlat, 0)
+        top_edge_rlat = repeat(rlat_bounds[-1][-1], len(self.rlon["data"]) - 1)
+        bottom_edge_rlat = repeat(rlat_bounds[0][0], len(self.rlon["data"]))
+        rlat_grid_edge = concatenate((left_edge_rlat, top_edge_rlat, right_edge_rlat, bottom_edge_rlat))
 
         # Get rotated longitudes for grid edge
-        left_edge_rlon = np.repeat(rlon_bounds[0][0], len(self.rlat['data']) + 1)
+        left_edge_rlon = repeat(rlon_bounds[0][0], len(self.rlat["data"]) + 1)
         top_edge_rlon = rlon_bounds.flatten()[1:-1:2]
-        right_edge_rlon = np.repeat(rlon_bounds[-1][-1], len(self.rlat['data']) + 1)
-        bottom_edge_rlon = np.flip(rlon_bounds.flatten()[:-1:2], 0)
-        rlon_grid_edge = np.concatenate((left_edge_rlon, top_edge_rlon, right_edge_rlon, bottom_edge_rlon))
+        right_edge_rlon = repeat(rlon_bounds[-1][-1], len(self.rlat["data"]) + 1)
+        bottom_edge_rlon = flip(rlon_bounds.flatten()[:-1:2], 0)
+        rlon_grid_edge = concatenate((left_edge_rlon, top_edge_rlon, right_edge_rlon, bottom_edge_rlon))
 
         # Get edges for regular coordinates
         grid_edge_lon_data, grid_edge_lat_data = self.rotated2latlon(rlon_grid_edge, rlat_grid_edge)
         
         # Create grid outline by stacking the edges in both coordinates
-        model_grid_outline = np.vstack((grid_edge_lon_data, grid_edge_lat_data)).T
+        model_grid_outline = vstack((grid_edge_lon_data, grid_edge_lat_data)).T
 
-        grid_edge_lat = {'data': model_grid_outline[:,1]}
-        grid_edge_lon = {'data': model_grid_outline[:,0]}
+        grid_edge_lat = {"data": model_grid_outline[:, 1]}
+        grid_edge_lon = {"data": model_grid_outline[:, 0]}
         
         return grid_edge_lat, grid_edge_lon

 
 
+    # noinspection DuplicatedCode
 

 [docs]
     def create_spatial_bounds(self):
@@ -566,31 +655,29 @@
         """
 
         # Calculate rotated coordinates bounds
-        inc_rlat = np.abs(np.mean(np.diff(self._rlat['data'])))
-        rlat_bnds = self.create_single_spatial_bounds(np.array([self._rlat['data']] * len(self._rlon['data'])).T, 
-                                                      inc_rlat, spatial_nv=4, inverse=True)
+        full_rlat = self.get_full_rlat()
+        full_rlon = self.get_full_rlon()
+        inc_rlat = abs(mean(diff(full_rlat["data"])))
+        rlat_bnds = self._create_single_spatial_bounds(array([full_rlat["data"]] * len(full_rlon["data"])).T,
+                                                       inc_rlat, spatial_nv=4, inverse=True)
 
-        inc_rlon = np.abs(np.mean(np.diff(self._rlon['data'])))
-        rlon_bnds = self.create_single_spatial_bounds(np.array([self._rlon['data']] * len(self._rlat['data'])), 
-                                                      inc_rlon, spatial_nv=4)
+        inc_rlon = abs(mean(diff(full_rlon["data"])))
+        rlon_bnds = self._create_single_spatial_bounds(array([full_rlon["data"]] * len(full_rlat["data"])),
+                                                       inc_rlon, spatial_nv=4)
 
         # Transform rotated bounds to regular bounds
         lon_bnds, lat_bnds = self.rotated2latlon(rlon_bnds, rlat_bnds)
 
         # Obtain regular coordinates bounds
-        self._lat_bnds = {}
-        self._lat_bnds['data'] = deepcopy(lat_bnds)
-        self.lat_bnds = {}
-        self.lat_bnds['data'] = lat_bnds[self.read_axis_limits['y_min']:self.read_axis_limits['y_max'],
-                                         self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], 
-                                         :]
-
-        self._lon_bnds = {}
-        self._lon_bnds['data'] = deepcopy(lon_bnds)
-        self.lon_bnds = {}
-        self.lon_bnds['data']= lon_bnds[self.read_axis_limits['y_min']:self.read_axis_limits['y_max'],
-                                        self.read_axis_limits['x_min']:self.read_axis_limits['x_max'], 
-                                        :]
+        self.set_full_latitudes_boundaries({"data": deepcopy(lat_bnds)})
+        self.lat_bnds = {"data": lat_bnds[self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"],
+                                          self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"],
+                                          :]}
+
+        self.set_full_longitudes_boundaries({"data": deepcopy(lon_bnds)})
+        self.lon_bnds = {"data": lon_bnds[self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"],
+                                          self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"],
+                                          :]}
 
         return None

 
@@ -598,7 +685,7 @@
     @staticmethod
     def _set_var_crs(var):
         """
-        Set the grid_mapping to 'rotated_pole'.
+        Set the grid_mapping to "rotated_pole".
 
         Parameters
         ----------
@@ -606,14 +693,14 @@
             netCDF4-python variable object.
         """
 
-        var.grid_mapping = 'rotated_pole'
-        var.coordinates = 'lat lon'
+        var.grid_mapping = "rotated_pole"
+        var.coordinates = "lat lon"
 
         return None
 
     def _create_metadata(self, netcdf):
         """
-        Create the 'crs' variable for the rotated latitude longitude grid_mapping.
+        Create the "crs" variable for the rotated latitude longitude grid_mapping.
 
         Parameters
         ----------
@@ -622,10 +709,10 @@
         """
 
         if self.projection_data is not None:
-            mapping = netcdf.createVariable('rotated_pole', 'i')
-            mapping.grid_mapping_name = self.projection_data['grid_mapping_name']
-            mapping.grid_north_pole_latitude = self.projection_data['grid_north_pole_latitude']
-            mapping.grid_north_pole_longitude = self.projection_data['grid_north_pole_longitude']
+            mapping = netcdf.createVariable("rotated_pole", "i")
+            mapping.grid_mapping_name = self.projection_data["grid_mapping_name"]
+            mapping.grid_north_pole_latitude = self.projection_data["grid_north_pole_latitude"]
+            mapping.grid_north_pole_longitude = self.projection_data["grid_north_pole_longitude"]
 
         return None
 
@@ -637,6 +724,8 @@
 
         Parameters
         ----------
+        lat_flip : bool
+            Indicates if you want to flip the latitude coordinates.
         path : str
             Path to the output file.
         grib_keys : dict
@@ -650,6 +739,7 @@
         raise NotImplementedError("Grib2 format cannot be written in a Rotated pole projection.")

 
 
+    # noinspection DuplicatedCode
 

 [docs]
     def create_shapefile(self):
@@ -664,14 +754,14 @@
 
         if self.shapefile is None:
 
-            if self._lat_bnds is None or self._lon_bnds is None:
+            if self.lat_bnds is None or self.lon_bnds is None:
                 self.create_spatial_bounds()
 
             # Reshape arrays to create geometry
-            aux_b_lats = self.lat_bnds['data'].reshape((self.lat_bnds['data'].shape[0] * self.lat_bnds['data'].shape[1], 
-                                                        self.lat_bnds['data'].shape[2]))
-            aux_b_lons = self.lon_bnds['data'].reshape((self.lon_bnds['data'].shape[0] * self.lon_bnds['data'].shape[1], 
-                                                        self.lon_bnds['data'].shape[2]))
+            aux_b_lats = self.lat_bnds["data"].reshape((self.lat_bnds["data"].shape[0] * self.lat_bnds["data"].shape[1], 
+                                                        self.lat_bnds["data"].shape[2]))
+            aux_b_lons = self.lon_bnds["data"].reshape((self.lon_bnds["data"].shape[0] * self.lon_bnds["data"].shape[1], 
+                                                        self.lon_bnds["data"].shape[2]))
             
             # Get polygons from bounds
             geometry = []
@@ -684,9 +774,7 @@
         
             # Create dataframe cointaining all polygons
             fids = self.get_fids()
-            gdf = gpd.GeoDataFrame(index=pd.Index(name='FID', data=fids.ravel()), 
-                                   geometry=geometry, 
-                                   crs="EPSG:4326")
+            gdf = GeoDataFrame(index=Index(name="FID", data=fids.ravel()), geometry=geometry, crs="EPSG:4326")
             self.shapefile = gdf
 
         else:
@@ -695,6 +783,7 @@
         return gdf

 
 
+    # noinspection DuplicatedCode
 

 [docs]
     def get_centroids_from_coordinates(self):
@@ -709,16 +798,14 @@
         
         # Get centroids from coordinates
         centroids = []
-        for lat_ind in range(0, self.lon['data'].shape[0]):
-            for lon_ind in range(0, self.lon['data'].shape[1]):
-                centroids.append(Point(self.lon['data'][lat_ind, lon_ind], 
-                                       self.lat['data'][lat_ind, lon_ind]))
+        for lat_ind in range(0, self.lon["data"].shape[0]):
+            for lon_ind in range(0, self.lon["data"].shape[1]):
+                centroids.append(Point(self.lon["data"][lat_ind, lon_ind], 
+                                       self.lat["data"][lat_ind, lon_ind]))
         
         # Create dataframe cointaining all points
         fids = self.get_fids()
-        centroids_gdf = gpd.GeoDataFrame(index=pd.Index(name='FID', data=fids.ravel()), 
-                                         geometry=centroids,
-                                         crs="EPSG:4326")
+        centroids_gdf = GeoDataFrame(index=Index(name="FID", data=fids.ravel()), geometry=centroids, crs="EPSG:4326")
         
         return centroids_gdf

 

diff --git a/docs/build/html/_modules/nes/nc_projections/rotated_nested_nes.html b/docs/build/html/_modules/nes/nc_projections/rotated_nested_nes.html
index f48f8e40c04f268373750c975719e2269e47c7d5..ad1d64b43d753d56cc8ea715c47aadf226b948aa 100644
--- a/docs/build/html/_modules/nes/nc_projections/rotated_nested_nes.html
+++ b/docs/build/html/_modules/nes/nc_projections/rotated_nested_nes.html
@@ -79,15 +79,16 @@
   
Source code for nes.nc_projections.rotated_nested_nes
 #!/usr/bin/env python
 
-import numpy as np
+from numpy import linspace, float64
 from netCDF4 import Dataset
 from .rotated_nes import RotatedNes
 
+
 

 [docs]
 class RotatedNestedNes(RotatedNes):
 
-    def __init__(self, comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y',
+    def __init__(self, comm=None, path=None, info=False, dataset=None, parallel_method="Y",
                  avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False,
                  balanced=False, times=None, **kwargs):
         """
@@ -101,13 +102,11 @@
             Path to the NetCDF to initialize the object.
         info: bool
             Indicates if you want to get reading/writing info.
-        dataset: Dataset
+        dataset: Dataset or None
             NetCDF4-python Dataset to initialize the class.
-        xarray: bool:
-            (Not working) Indicates if you want to use xarray as default.
         parallel_method : str
-            Indicates the parallelization method that you want. Default: 'Y'.
-            Accepted values: ['X', 'Y', 'T'].
+            Indicates the parallelization method that you want. Default: "Y".
+            Accepted values: ["X", "Y", "T"].
         avoid_first_hours : int
             Number of hours to remove from first time steps.
         avoid_last_hours : int
@@ -127,7 +126,7 @@
 
         super(RotatedNestedNes, self).__init__(comm=comm, path=path,
                                                info=info, dataset=dataset, balanced=balanced,
-                                               xarray=xarray, parallel_method=parallel_method,
+                                               parallel_method=parallel_method,
                                                avoid_first_hours=avoid_first_hours, avoid_last_hours=avoid_last_hours,
                                                first_level=first_level, last_level=last_level, create_nes=create_nes,
                                                times=times, **kwargs)
@@ -149,46 +148,51 @@
         """
         
         # Read variables from parent grid
-        netcdf = Dataset(projection_data['parent_grid_path'], mode='r')
-        rlat = netcdf.variables['rlat'][:]
-        rlon = netcdf.variables['rlon'][:]
-        rotated_pole = netcdf.variables['rotated_pole']
-
-        # j_parent_start starts at index 1 so we must subtract 1
-        projection_data['inc_rlat'] = (rlat[1] - rlat[0]) / projection_data['parent_ratio']
-        projection_data['1st_rlat'] = rlat[int(projection_data['j_parent_start']) - 1]
+        netcdf = Dataset(projection_data["parent_grid_path"], mode="r")
+        rlat = netcdf.variables["rlat"][:]
+        rlon = netcdf.variables["rlon"][:]
+        rotated_pole = netcdf.variables["rotated_pole"]
+
+        # j_parent_start starts at index 1, so we must subtract 1
+        projection_data["inc_rlat"] = (rlat[1] - rlat[0]) / projection_data["parent_ratio"]
+        projection_data["1st_rlat"] = rlat[int(projection_data["j_parent_start"]) - 1]
         
-        # i_parent_start starts at index 1 so we must subtract 1
-        projection_data['inc_rlon'] = (rlon[1] - rlon[0]) / projection_data['parent_ratio']
-        projection_data['1st_rlon'] = rlon[int(projection_data['i_parent_start']) - 1]
+        # i_parent_start starts at index 1, so we must subtract 1
+        projection_data["inc_rlon"] = (rlon[1] - rlon[0]) / projection_data["parent_ratio"]
+        projection_data["1st_rlon"] = rlon[int(projection_data["i_parent_start"]) - 1]
 
-        projection_data['grid_north_pole_longitude'] = rotated_pole.grid_north_pole_longitude
-        projection_data['grid_north_pole_latitude'] = rotated_pole.grid_north_pole_latitude
+        projection_data["grid_north_pole_longitude"] = rotated_pole.grid_north_pole_longitude
+        projection_data["grid_north_pole_latitude"] = rotated_pole.grid_north_pole_latitude
 
         netcdf.close()
 
         return projection_data
 
-    def _create_projection(self, **kwargs):
+    def _get_projection_data(self, create_nes, **kwargs):
         """
-        Create 'projection' and 'projection_data' from projection arguments.
-        """
-
-        projection_data = {'grid_mapping_name': "", # TODO: Add name
-                           'parent_grid_path': kwargs['parent_grid_path'],
-                           'parent_ratio': kwargs['parent_ratio'],
-                           'i_parent_start': kwargs['i_parent_start'],
-                           'j_parent_start': kwargs['j_parent_start'],
-                           'n_rlat': kwargs['n_rlat'],
-                           'n_rlon': kwargs['n_rlon']
-                          }
+        Retrieves projection data based on grid details.
 
-        projection_data = self._get_parent_attributes(projection_data)
-
-        self.projection_data = projection_data
-        self.projection = self._get_pyproj_projection()
+        Parameters
+        ----------
+        create_nes : bool
+            Flag indicating whether to create new object (True) or use existing (False).
+        **kwargs : dict
+            Additional keyword arguments for specifying projection details.
+        """
+        if create_nes:
+            projection_data = {"grid_mapping_name": "rotated_latitude_longitude",
+                               "parent_grid_path": kwargs["parent_grid_path"],
+                               "parent_ratio": kwargs["parent_ratio"],
+                               "i_parent_start": kwargs["i_parent_start"],
+                               "j_parent_start": kwargs["j_parent_start"],
+                               "n_rlat": kwargs["n_rlat"],
+                               "n_rlon": kwargs["n_rlon"]
+                               }
+            projection_data = self._get_parent_attributes(projection_data)
+        else:
+            projection_data = super()._get_projection_data(create_nes, **kwargs)
 
-        return None
+        return projection_data
 
     def _create_rotated_coordinates(self):
         """
@@ -197,34 +201,30 @@
         Returns
         ----------
         _rlat : dict
-            Rotated latitudes dictionary with the complete 'data' key for all the values and the rest of the attributes.
+            Rotated latitudes dictionary with the "data" key for all the values and the rest of the attributes.
         _rlon : dict
-            Rotated longitudes dictionary with the complete 'data' key for all the values and the rest of the attributes.
+            Rotated longitudes dictionary with the "data" key for all the values and the rest of the attributes.
         """
 
         # Get grid resolution
-        inc_rlon = self.projection_data['inc_rlon']
-        inc_rlat = self.projection_data['inc_rlat']
+        inc_rlon = self.projection_data["inc_rlon"]
+        inc_rlat = self.projection_data["inc_rlat"]
 
         # Get number of rotated coordinates
-        n_rlat = self.projection_data['n_rlat']
-        n_rlon = self.projection_data['n_rlon']
+        n_rlat = self.projection_data["n_rlat"]
+        n_rlon = self.projection_data["n_rlon"]
 
         # Get first coordinates
-        first_rlat = self.projection_data['1st_rlat']
-        first_rlon = self.projection_data['1st_rlon']
+        first_rlat = self.projection_data["1st_rlat"]
+        first_rlon = self.projection_data["1st_rlon"]
 
         # Calculate rotated latitudes
-        rlat = np.linspace(first_rlat, 
-                           first_rlat + (inc_rlat * (n_rlat - 1)), 
-                           n_rlat, dtype=np.float64)
+        rlat = linspace(first_rlat, first_rlat + (inc_rlat * (n_rlat - 1)), n_rlat, dtype=float64)
         
         # Calculate rotated longitudes
-        rlon = np.linspace(first_rlon, 
-                           first_rlon + (inc_rlon * (n_rlon - 1)), 
-                           n_rlon, dtype=np.float64)
+        rlon = linspace(first_rlon, first_rlon + (inc_rlon * (n_rlon - 1)), n_rlon, dtype=float64)
 
-        return {'data': rlat}, {'data': rlon}

+        return {"data": rlat}, {"data": rlon}
diff --git a/docs/build/html/_modules/nes/nes_formats/cams_ra_format.html b/docs/build/html/_modules/nes/nes_formats/cams_ra_format.html index 5b729d6c1903fa56ada968a78b297323ff64f224..23c288741b33fa66f5cc4d7bc4685711f0593862 100644 --- a/docs/build/html/_modules/nes/nes_formats/cams_ra_format.html +++ b/docs/build/html/_modules/nes/nes_formats/cams_ra_format.html @@ -80,15 +80,15 @@ #!/usr/bin/env python import sys -import warnings -import numpy as np -import os import nes +from numpy import float64, float32, int32, array +from warnings import warn from netCDF4 import Dataset from mpi4py import MPI from copy import copy +# noinspection DuplicatedCode
[docs] def to_netcdf_cams_ra(self, path): @@ -102,26 +102,26 @@ path : str Path to the output netCDF file. """ - + if not isinstance(self, nes.LatLonNes): raise TypeError("CAMS Re-Analysis format must have Regular Lat-Lon projection") - if '<level>' not in path: - raise ValueError("AMS Re-Analysis path must contain '<level>' as pattern; current: '{0}'".format(path)) + if "<level>" not in path: + raise ValueError(f"AMS Re-Analysis path must contain '<level>' as pattern; current: '{path}'") orig_path = copy(path) - for i_lev, level in enumerate(self.lev['data']): - path = orig_path.replace('<level>', 'l{0}'.format(i_lev)) + for i_lev, level in enumerate(self.lev["data"]): + path = orig_path.replace("<level>", "l{0}".format(i_lev)) # Open NetCDF if self.info: print("Rank {0:03d}: Creating {1}".format(self.rank, path)) if self.size > 1: - netcdf = Dataset(path, format="NETCDF4", mode='w', parallel=True, comm=self.comm, info=MPI.Info()) + netcdf = Dataset(path, format="NETCDF4", mode="w", parallel=True, comm=self.comm, info=MPI.Info()) else: - netcdf = Dataset(path, format="NETCDF4", mode='w', parallel=False) + netcdf = Dataset(path, format="NETCDF4", mode="w", parallel=False) if self.info: print("Rank {0:03d}: NetCDF ready to write".format(self.rank)) - self.to_dtype(data_type=np.float32) + self.to_dtype(data_type=float32) # Create dimensions create_dimensions(self, netcdf) @@ -149,7 +149,7 @@ [docs] def create_dimensions(self, netcdf): """ - Create 'time', 'time_bnds', 'lev', 'lon' and 'lat' dimensions. + Create "time", "time_bnds", "lev", "lon" and "lat" dimensions. Parameters ---------- @@ -160,11 +160,11 @@ """ # Create time dimension - netcdf.createDimension('time', None) + netcdf.createDimension("time", None) # Create lev, lon and lat dimensions - netcdf.createDimension('lat', len(self._lat['data'])) - netcdf.createDimension('lon', len(self._lon['data'])) + netcdf.createDimension("lat", len(self.get_full_latitudes()["data"])) + netcdf.createDimension("lon", len(self.get_full_longitudes()["data"])) return None
@@ -174,7 +174,7 @@ [docs] def create_dimension_variables(self, netcdf): """ - Create the 'time', 'time_bnds', 'lev', 'lat', 'lat_bnds', 'lon' and 'lon_bnds' variables. + Create the "time", "time_bnds", "lev", "lat", "lat_bnds", "lon" and "lon_bnds" variables. Parameters ---------- @@ -185,47 +185,47 @@ """ # LATITUDES - lat = netcdf.createVariable('lat', np.float64, ('lat',)) - lat.standard_name = 'latitude' - lat.long_name = 'latitude' - lat.units = 'degrees_north' - lat.axis = 'Y' + lat = netcdf.createVariable("lat", float64, ("lat",)) + lat.standard_name = "latitude" + lat.long_name = "latitude" + lat.units = "degrees_north" + lat.axis = "Y" if self.size > 1: lat.set_collective(True) - lat[:] = self._lat['data'] + lat[:] = self.get_full_latitudes()["data"] # LONGITUDES - lon = netcdf.createVariable('lon', np.float64, ('lon',)) - lon.long_name = 'longitude' - lon.standard_name = 'longitude' - lon.units = 'degrees_east' - lon.axis = 'X' + lon = netcdf.createVariable("lon", float64, ("lon",)) + lon.long_name = "longitude" + lon.standard_name = "longitude" + lon.units = "degrees_east" + lon.axis = "X" if self.size > 1: lon.set_collective(True) - lon[:] = self._lon['data'] + lon[:] = self.get_full_longitudes()["data"] # TIMES - time_var = netcdf.createVariable('time', np.float64, ('time',)) - time_var.standard_name = 'time' - time_var.units = 'day as %Y%m%d.%f' - time_var.calendar = 'proleptic_gregorian' - time_var.axis = 'T' + time_var = netcdf.createVariable("time", float64, ("time",)) + time_var.standard_name = "time" + time_var.units = "day as %Y%m%d.%f" + time_var.calendar = "proleptic_gregorian" + time_var.axis = "T" if self.size > 1: time_var.set_collective(True) - time_var[:] = date2num(self._time[self.get_time_id(self.hours_start, first=True): - self.get_time_id(self.hours_end, first=False)], - time_var.units, time_var.calendar) + time_var[:] = __date2num(self.get_full_times()[self._get_time_id(self.hours_start, first=True): + self._get_time_id(self.hours_end, first=False)]) return None
+# noinspection DuplicatedCode
[docs] def create_variables(self, netcdf, i_lev): """ - Create the netCDF file variables. + Create and write variables to a netCDF file. Parameters ---------- @@ -233,14 +233,16 @@ Source projection Nes Object. netcdf : Dataset netcdf4-python open dataset. + i_lev : int + The specific level index to write data for. """ for i, (var_name, var_dict) in enumerate(self.variables.items()): - if var_dict['data'] is not None: + if var_dict["data"] is not None: if self.info: print("Rank {0:03d}: Writing {1} var ({2}/{3})".format(self.rank, var_name, i + 1, len(self.variables))) try: - var = netcdf.createVariable(var_name, np.float32, ('time', 'lat', 'lon',), + var = netcdf.createVariable(var_name, float32, ("time", "lat", "lon",), zlib=True, complevel=7, least_significant_digit=3) if self.info: @@ -254,46 +256,58 @@ if self.info: print("Rank {0:03d}: Filling {1})".format(self.rank, var_name)) - var[self.write_axis_limits['t_min']:self.write_axis_limits['t_max'], - self.write_axis_limits['y_min']:self.write_axis_limits['y_max'], - self.write_axis_limits['x_min']:self.write_axis_limits['x_max']] = var_dict['data'][:, i_lev, :, :] + var[self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], + self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"], + self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]] = var_dict["data"][:, i_lev, :, :] if self.info: print("Rank {0:03d}: Var {1} data ({2}/{3})".format( self.rank, var_name, i + 1, len(self.variables))) - var.long_name = var_dict['long_name'] - var.units = var_dict['units'] - var.number_of_significant_digits = np.int32(3) + var.long_name = var_dict["long_name"] + var.units = var_dict["units"] + var.number_of_significant_digits = int32(3) if self.info: print("Rank {0:03d}: Var {1} completed ({2}/{3})".format(self.rank, var_name, i + 1, len(self.variables))) except Exception as e: - print("**ERROR** an error has occurred while writing the '{0}' variable".format(var_name)) - # print("**ERROR** an error has occurredred while writing the '{0}' variable".format(var_name), - # file=sys.stderr) + print(f"**ERROR** an error has occurred while writing the '{var_name}' variable") raise e else: - msg = 'WARNING!!! ' - msg += 'Variable {0} was not loaded. It will not be written.'.format(var_name) - warnings.warn(msg) + msg = "WARNING!!! " + msg += "Variable {0} was not loaded. It will not be written.".format(var_name) + warn(msg) sys.stderr.flush() return None
-
-[docs] -def date2num(time_array, time_units=None, time_calendar=None): +def __date2num(time_array): + """ + Convert an array of datetime objects to numerical values. + + Parameters + ---------- + time_array : List[datetime.datetime] + List of datetime objects to be converted. + + Returns + ------- + numpy.ndarray + Array of numerical time values, with each date represented as a float. + + Notes + ----- + The conversion represents each datetime as a float in the format YYYYMMDD.HH/24. + """ time_res = [] for aux_time in time_array: time_res.append(float(aux_time.strftime("%Y%m%d")) + (float(aux_time.strftime("%H")) / 24)) - time_res = np.array(time_res, dtype=np.float64) - - return time_res
+ time_res = array(time_res, dtype=float64) + return time_res diff --git a/docs/build/html/_modules/nes/nes_formats/cmaq_format.html b/docs/build/html/_modules/nes/nes_formats/cmaq_format.html index e2496410c6c0dc4887f2a5ed3928a299afc68077..0479dfe247ffb5c96764ce85ef868174b351a850 100644 --- a/docs/build/html/_modules/nes/nes_formats/cmaq_format.html +++ b/docs/build/html/_modules/nes/nes_formats/cmaq_format.html @@ -79,23 +79,23 @@

Source code for nes.nes_formats.cmaq_format

 #!/usr/bin/env python
 
-import numpy as np
 import nes
+from numpy import float32, array, ndarray, empty, int32, float64
 from netCDF4 import Dataset
 from mpi4py import MPI
 from copy import deepcopy
 from datetime import datetime
 
 GLOBAL_ATTRIBUTES_ORDER = [
-    'IOAPI_VERSION', 'EXEC_ID', 'FTYPE', 'CDATE', 'CTIME', 'WDATE', 'WTIME', 'SDATE', 'STIME', 'TSTEP',  'NTHIK',
-    'NCOLS', 'NROWS', 'NLAYS', 'NVARS', 'GDTYP', 'P_ALP', 'P_BET', 'P_GAM', 'XCENT', 'YCENT',  'XORIG', 'YORIG',
-    'XCELL', 'YCELL', 'VGTYP', 'VGTOP', 'VGLVLS', 'GDNAM', 'UPNAM', 'FILEDESC', 'HISTORY', 'VAR-LIST']
+    "IOAPI_VERSION", "EXEC_ID", "FTYPE", "CDATE", "CTIME", "WDATE", "WTIME", "SDATE", "STIME", "TSTEP",  "NTHIK",
+    "NCOLS", "NROWS", "NLAYS", "NVARS", "GDTYP", "P_ALP", "P_BET", "P_GAM", "XCENT", "YCENT",  "XORIG", "YORIG",
+    "XCELL", "YCELL", "VGTYP", "VGTOP", "VGLVLS", "GDNAM", "UPNAM", "FILEDESC", "HISTORY", "VAR-LIST"]
 
 
 # noinspection DuplicatedCode
 

 [docs]
-def to_netcdf_cmaq(self, path, chunking=False, keep_open=False):
+def to_netcdf_cmaq(self, path, keep_open=False):
     """
     Create the NetCDF using netcdf4-python methods.
 
@@ -105,13 +105,11 @@
         Source projection Nes Object.
     path : str
         Path to the output netCDF file.
-    chunking: bool
-        Indicates if you want to chunk the output netCDF.
     keep_open : bool
         Indicates if you want to keep open the NetCDH to fill the data by time-step.
     """
 
-    self.to_dtype(np.float32)
+    self.to_dtype(float32)
 
     set_global_attributes(self)
     change_variable_attributes(self)
@@ -120,9 +118,9 @@
     if self.info:
         print("Rank {0:03d}: Creating {1}".format(self.rank, path))
     if self.size > 1:
-        netcdf = Dataset(path, format="NETCDF4", mode='w', parallel=True, comm=self.comm, info=MPI.Info())
+        netcdf = Dataset(path, format="NETCDF4", mode="w", parallel=True, comm=self.comm, info=MPI.Info())
     else:
-        netcdf = Dataset(path, format="NETCDF4", mode='w', parallel=False)
+        netcdf = Dataset(path, format="NETCDF4", mode="w", parallel=False)
     if self.info:
         print("Rank {0:03d}: NetCDF ready to write".format(self.rank))
 
@@ -141,7 +139,7 @@
 
     # Close NetCDF
     if keep_open:
-        self.netcdf = netcdf
+        self.dataset = netcdf
     else:
         netcdf.close()
 
@@ -158,23 +156,23 @@
     Parameters
     ----------
     self : nes.Nes
-        Nes Object.
+        A Nes Object.
     """
 
     for var_name in self.variables.keys():
 
-        if self.variables[var_name]['units'] == 'mol.s-1':
-            self.variables[var_name]['units'] = "{:<16}".format('mole/s')
-            self.variables[var_name]['var_desc'] = "{:<80}".format(self.variables[var_name]['long_name'])
-            self.variables[var_name]['long_name'] = "{:<16}".format(var_name)
-        elif self.variables[var_name]['units'] == 'g.s-1':
-            self.variables[var_name]['units'] = "{:<16}".format('g/s')
-            self.variables[var_name]['var_desc'] = "{:<80}".format(self.variables[var_name]['long_name'])
-            self.variables[var_name]['long_name'] = "{:<16}".format(var_name)
+        if self.variables[var_name]["units"] == "mol.s-1":
+            self.variables[var_name]["units"] = "{:<16}".format("mole/s")
+            self.variables[var_name]["var_desc"] = "{:<80}".format(self.variables[var_name]["long_name"])
+            self.variables[var_name]["long_name"] = "{:<16}".format(var_name)
+        elif self.variables[var_name]["units"] == "g.s-1":
+            self.variables[var_name]["units"] = "{:<16}".format("g/s")
+            self.variables[var_name]["var_desc"] = "{:<80}".format(self.variables[var_name]["long_name"])
+            self.variables[var_name]["long_name"] = "{:<16}".format(var_name)
 
         else:
             raise TypeError("The unit '{0}' of specie {1} is not defined correctly. ".format(
-                self.variables[var_name]['units'], var_name) + "Should be 'mol.s-1' or 'g.s-1'")
+                self.variables[var_name]["units"], var_name) + "Should be 'mol.s-1' or 'g.s-1'")
     
     return None

 
@@ -189,7 +187,7 @@
     Parameters
     ----------
     self : nes.Nes
-        Nes Object.
+        A Nes Object.
 
     Returns
     -------
@@ -199,20 +197,20 @@
 
     self.calculate_grid_area(overwrite=False)
     for var_name in self.variables.keys():
-        if isinstance(self.variables[var_name]['data'], np.ndarray):
-            if self.variables[var_name]['units'] == 'mol.s-1':
+        if isinstance(self.variables[var_name]["data"], ndarray):
+            if self.variables[var_name]["units"] == "mol.s-1":
                 # Kmol.m-2.s-1 to mol.s-1
-                self.variables[var_name]['data'] = np.array(
-                    self.variables[var_name]['data'] * 1000 * self.cell_measures['cell_area']['data'], dtype=np.float32)
-            elif self.variables[var_name]['units'] == 'g.s-1':
+                self.variables[var_name]["data"] = array(
+                    self.variables[var_name]["data"] * 1000 * self.cell_measures["cell_area"]["data"], dtype=float32)
+            elif self.variables[var_name]["units"] == "g.s-1":
                 # Kg.m-2.s-1 to g.s-1
-                self.variables[var_name]['data'] = np.array(
-                    self.variables[var_name]['data'] * 1000 * self.cell_measures['cell_area']['data'], dtype=np.float32)
+                self.variables[var_name]["data"] = array(
+                    self.variables[var_name]["data"] * 1000 * self.cell_measures["cell_area"]["data"], dtype=float32)
 
             else:
                 raise TypeError("The unit '{0}' of specie {1} is not defined correctly. ".format(
-                    self.variables[var_name]['units'], var_name) + "Should be 'mol.s-1' or 'g.s-1'")
-        self.variables[var_name]['dtype'] = np.float32
+                    self.variables[var_name]["units"], var_name) + "Should be 'mol.s-1' or 'g.s-1'")
+        self.variables[var_name]["dtype"] = float32
 
     return self.variables
@@ -227,7 +225,7 @@ Parameters ---------- self : nes.Nes - Nes Object. + A Nes Object. Returns ------- @@ -235,11 +233,11 @@ Array with the content of TFLAG. """ - t_flag = np.empty((len(self.time), len(self.variables), 2)) + t_flag = empty((len(self.time), len(self.variables), 2)) for i_d, aux_date in enumerate(self.time): - y_d = int(aux_date.strftime('%Y%j')) - hms = int(aux_date.strftime('%H%M%S')) + y_d = int(aux_date.strftime("%Y%j")) + hms = int(aux_date.strftime("%H%M%S")) for i_p in range(len(self.variables)): t_flag[i_d, i_p, 0] = y_d t_flag[i_d, i_p, 1] = hms @@ -257,7 +255,7 @@ Parameters ---------- self : nes.Nes - Nes Object. + A Nes Object. Returns ------- @@ -265,14 +263,15 @@ List of variable names transformed on string. """ - str_var_list = "" + str_var_list_aux = "" for var in self.variables.keys(): - str_var_list += "{:<16}".format(var) + str_var_list_aux += "{:<16}".format(var) - return str_var_list + return str_var_list_aux +# noinspection DuplicatedCode
[docs] def set_global_attributes(self): @@ -282,7 +281,7 @@ Parameters ---------- self : nes.Nes - Nes Object. + A Nes Object. """ now = datetime.now() @@ -294,79 +293,79 @@ current_attributes = deepcopy(self.global_attrs) del self.global_attrs - self.global_attrs = {'IOAPI_VERSION': 'None: made only with NetCDF libraries', - 'EXEC_ID': "{:<80}".format('0.1alpha'), # Editable - 'FTYPE': np.int32(1), # Editable - 'CDATE': np.int32(now.strftime('%Y%j')), - 'CTIME': np.int32(now.strftime('%H%M%S')), - 'WDATE': np.int32(now.strftime('%Y%j')), - 'WTIME': np.int32(now.strftime('%H%M%S')), - 'SDATE': np.int32(self.time[0].strftime('%Y%j')), - 'STIME': np.int32(self.time[0].strftime('%H%M%S')), - 'TSTEP': np.int32(tstep), - 'NTHIK': np.int32(1), # Editable - 'NCOLS': None, # Projection dependent - 'NROWS': None, # Projection dependent - 'NLAYS': np.int32(len(self.lev['data'])), - 'NVARS': None, # Projection dependent - 'GDTYP': None, # Projection dependent - 'P_ALP': None, # Projection dependent - 'P_BET': None, # Projection dependent - 'P_GAM': None, # Projection dependent - 'XCENT': None, # Projection dependent - 'YCENT': None, # Projection dependent - 'XORIG': None, # Projection dependent - 'YORIG': None, # Projection dependent - 'XCELL': None, # Projection dependent - 'YCELL': None, # Projection dependent - 'VGTYP': np.int32(7), # Editable - 'VGTOP': np.float32(5000.), # Editable - 'VGLVLS': np.array([1., 0.], dtype=np.float32), # Editable - 'GDNAM': "{:<16}".format(''), # Editable - 'UPNAM': "{:<16}".format('HERMESv3'), - 'FILEDESC': "", # Editable - 'HISTORY': "", # Editable - 'VAR-LIST': str_var_list(self)} + self.global_attrs = {"IOAPI_VERSION": "None: made only with NetCDF libraries", + "EXEC_ID": "{:<80}".format("0.1alpha"), # Editable + "FTYPE": int32(1), # Editable + "CDATE": int32(now.strftime("%Y%j")), + "CTIME": int32(now.strftime("%H%M%S")), + "WDATE": int32(now.strftime("%Y%j")), + "WTIME": int32(now.strftime("%H%M%S")), + "SDATE": int32(self.time[0].strftime("%Y%j")), + "STIME": int32(self.time[0].strftime("%H%M%S")), + "TSTEP": int32(tstep), + "NTHIK": int32(1), # Editable + "NCOLS": None, # Projection dependent + "NROWS": None, # Projection dependent + "NLAYS": int32(len(self.lev["data"])), + "NVARS": None, # Projection dependent + "GDTYP": None, # Projection dependent + "P_ALP": None, # Projection dependent + "P_BET": None, # Projection dependent + "P_GAM": None, # Projection dependent + "XCENT": None, # Projection dependent + "YCENT": None, # Projection dependent + "XORIG": None, # Projection dependent + "YORIG": None, # Projection dependent + "XCELL": None, # Projection dependent + "YCELL": None, # Projection dependent + "VGTYP": int32(7), # Editable + "VGTOP": float32(5000.), # Editable + "VGLVLS": array([1., 0.], dtype=float32), # Editable + "GDNAM": "{:<16}".format(""), # Editable + "UPNAM": "{:<16}".format("HERMESv3"), + "FILEDESC": "", # Editable + "HISTORY": "", # Editable + "VAR-LIST": str_var_list(self)} # Editable attributes for att_name, att_value in current_attributes.items(): - if att_name == 'EXEC_ID': + if att_name == "EXEC_ID": self.global_attrs[att_name] = "{:<80}".format(att_value) # Editable - elif att_name == 'FTYPE': - self.global_attrs[att_name] = np.int32(att_value) # Editable - elif att_name == 'NTHIK': - self.global_attrs[att_name] = np.int32(att_value) # Editable - elif att_name == 'VGTYP': - self.global_attrs[att_name] = np.int32(att_value) # Editable - elif att_name == 'VGTOP': - self.global_attrs[att_name] = np.float32(att_value) # Editable - elif att_name == 'VGLVLS': - self.global_attrs[att_name] = np.array(att_value.split(), dtype=np.float32) # Editable - elif att_name == 'GDNAM': + elif att_name == "FTYPE": + self.global_attrs[att_name] = int32(att_value) # Editable + elif att_name == "NTHIK": + self.global_attrs[att_name] = int32(att_value) # Editable + elif att_name == "VGTYP": + self.global_attrs[att_name] = int32(att_value) # Editable + elif att_name == "VGTOP": + self.global_attrs[att_name] = float32(att_value) # Editable + elif att_name == "VGLVLS": + self.global_attrs[att_name] = array(att_value.split(), dtype=float32) # Editable + elif att_name == "GDNAM": self.global_attrs[att_name] = "{:<16}".format(att_value) # Editable - elif att_name == 'FILEDESC': + elif att_name == "FILEDESC": self.global_attrs[att_name] = att_value # Editable - elif att_name == 'HISTORY': + elif att_name == "HISTORY": self.global_attrs[att_name] = att_value # Editable # Projection dependent attributes if isinstance(self, nes.LCCNes): - self.global_attrs['NCOLS'] = np.int32(len(self._x['data'])) - self.global_attrs['NROWS'] = np.int32(len(self._y['data'])) - self.global_attrs['NVARS'] = np.int32(len(self.variables)) - self.global_attrs['GDTYP'] = np.int32(2) - - self.global_attrs['P_ALP'] = np.float64(self.projection_data['standard_parallel'][0]) - self.global_attrs['P_BET'] = np.float64(self.projection_data['standard_parallel'][1]) - self.global_attrs['P_GAM'] = np.float64(self.projection_data['longitude_of_central_meridian']) - self.global_attrs['XCENT'] = np.float64(self.projection_data['longitude_of_central_meridian']) - self.global_attrs['YCENT'] = np.float64(self.projection_data['latitude_of_projection_origin']) - self.global_attrs['XORIG'] = np.float64( - self._x['data'][0]) - (np.float64(self._x['data'][1] - self._x['data'][0]) / 2) - self.global_attrs['YORIG'] = np.float64( - self._y['data'][0]) - (np.float64(self._y['data'][1] - self._y['data'][0]) / 2) - self.global_attrs['XCELL'] = np.float64(self._x['data'][1] - self._x['data'][0]) - self.global_attrs['YCELL'] = np.float64(self._y['data'][1] - self._y['data'][0]) + self.global_attrs["NCOLS"] = int32(len(self._full_x["data"])) + self.global_attrs["NROWS"] = int32(len(self._full_y["data"])) + self.global_attrs["NVARS"] = int32(len(self.variables)) + self.global_attrs["GDTYP"] = int32(2) + + self.global_attrs["P_ALP"] = float64(self.projection_data["standard_parallel"][0]) + self.global_attrs["P_BET"] = float64(self.projection_data["standard_parallel"][1]) + self.global_attrs["P_GAM"] = float64(self.projection_data["longitude_of_central_meridian"]) + self.global_attrs["XCENT"] = float64(self.projection_data["longitude_of_central_meridian"]) + self.global_attrs["YCENT"] = float64(self.projection_data["latitude_of_projection_origin"]) + self.global_attrs["XORIG"] = float64( + self._full_x["data"][0]) - (float64(self._full_x["data"][1] - self._full_x["data"][0]) / 2) + self.global_attrs["YORIG"] = float64( + self._full_y["data"][0]) - (float64(self._full_y["data"][1] - self._full_y["data"][0]) / 2) + self.global_attrs["XCELL"] = float64(self._full_x["data"][1] - self._full_x["data"][0]) + self.global_attrs["YCELL"] = float64(self._full_y["data"][1] - self._full_y["data"][0]) return None
@@ -376,7 +375,7 @@ [docs] def create_dimensions(self, netcdf): """ - Create 'time', 'time_bnds', 'lev', 'lon' and 'lat' dimensions. + Create "time", "time_bnds", "lev", "lon" and "lat" dimensions. Parameters ---------- @@ -386,13 +385,13 @@ netcdf4-python open dataset. """ - netcdf.createDimension('TSTEP', len(self._time)) - netcdf.createDimension('DATE-TIME', 2) - netcdf.createDimension('LAY', len(self._lev['data'])) - netcdf.createDimension('VAR', len(self.variables)) + netcdf.createDimension("TSTEP", len(self.get_full_times())) + netcdf.createDimension("DATE-TIME", 2) + netcdf.createDimension("LAY", len(self.get_full_levels()["data"])) + netcdf.createDimension("VAR", len(self.variables)) if isinstance(self, nes.LCCNes): - netcdf.createDimension('COL', len(self._x['data'])) - netcdf.createDimension('ROW', len(self._y['data'])) + netcdf.createDimension("COL", len(self._full_x["data"])) + netcdf.createDimension("ROW", len(self._full_y["data"])) return None @@ -402,25 +401,26 @@ [docs] def create_dimension_variables(self, netcdf): """ - Create the 'y' and 'x' variables. + Create the "y" and "x" variables. Parameters ---------- self : nes.Nes - Nes Object. + A Nes Object. netcdf : Dataset NetCDF object. """ - tflag = netcdf.createVariable('TFLAG', 'i', ('TSTEP', 'VAR', 'DATE-TIME',)) - tflag.setncatts({'units': "{:<16}".format('<YYYYDDD,HHMMSS>'), 'long_name': "{:<16}".format('TFLAG'), - 'var_desc': "{:<80}".format('Timestep-valid flags: (1) YYYYDDD or (2) HHMMSS')}) + tflag = netcdf.createVariable("TFLAG", "i", ("TSTEP", "VAR", "DATE-TIME",)) + tflag.setncatts({"units": "{:<16}".format("<YYYYDDD,HHMMSS>"), "long_name": "{:<16}".format("TFLAG"), + "var_desc": "{:<80}".format("Timestep-valid flags: (1) YYYYDDD or (2) HHMMSS")}) tflag[:] = create_tflag(self) return None +# noinspection DuplicatedCode
[docs] def create_variables(self, netcdf): @@ -436,26 +436,26 @@ """ for var_name, var_info in self.variables.items(): - var = netcdf.createVariable(var_name, 'f', ('TSTEP', 'LAY', 'ROW', 'COL',), + var = netcdf.createVariable(var_name, "f", ("TSTEP", "LAY", "ROW", "COL",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - var.units = var_info['units'] - var.long_name = str(var_info['long_name']) - var.var_desc = str(var_info['var_desc']) - if var_info['data'] is not None: + var.units = var_info["units"] + var.long_name = str(var_info["long_name"]) + var.var_desc = str(var_info["var_desc"]) + if var_info["data"] is not None: if self.info: print("Rank {0:03d}: Filling {1})".format(self.rank, var_name)) - if isinstance(var_info['data'], int) and var_info['data'] == 0: - var[self.write_axis_limits['t_min']:self.write_axis_limits['t_max'], - self.write_axis_limits['z_min']:self.write_axis_limits['z_max'], - self.write_axis_limits['y_min']:self.write_axis_limits['y_max'], - self.write_axis_limits['x_min']:self.write_axis_limits['x_max']] = 0 - - elif len(var_info['data'].shape) == 4: - var[self.write_axis_limits['t_min']:self.write_axis_limits['t_max'], - self.write_axis_limits['z_min']:self.write_axis_limits['z_max'], - self.write_axis_limits['y_min']:self.write_axis_limits['y_max'], - self.write_axis_limits['x_min']:self.write_axis_limits['x_max']] = var_info['data'] + if isinstance(var_info["data"], int) and var_info["data"] == 0: + var[self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], + self.write_axis_limits["z_min"]:self.write_axis_limits["z_max"], + self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"], + self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]] = 0 + + elif len(var_info["data"].shape) == 4: + var[self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], + self.write_axis_limits["z_min"]:self.write_axis_limits["z_max"], + self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"], + self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]] = var_info["data"] return None
diff --git a/docs/build/html/_modules/nes/nes_formats/monarch_format.html b/docs/build/html/_modules/nes/nes_formats/monarch_format.html index 2279df2293357b99fcd6bba0ca788a60c538eb07..9158c10f35ad61074ce034883b1cac2d86f37504 100644 --- a/docs/build/html/_modules/nes/nes_formats/monarch_format.html +++ b/docs/build/html/_modules/nes/nes_formats/monarch_format.html @@ -79,8 +79,8 @@

Source code for nes.nes_formats.monarch_format

 #!/usr/bin/env python
 
-import numpy as np
 import nes
+from numpy import float32, array, ndarray
 from netCDF4 import Dataset
 from mpi4py import MPI
 
@@ -104,15 +104,15 @@
         Indicates if you want to keep open the NetCDH to fill the data by time-step.
     """
 
-    self.to_dtype(np.float32)
+    self.to_dtype(float32)
 
     # Open NetCDF
     if self.info:
         print("Rank {0:03d}: Creating {1}".format(self.rank, path))
     if self.size > 1:
-        netcdf = Dataset(path, format="NETCDF4", mode='w', parallel=True, comm=self.comm, info=MPI.Info())
+        netcdf = Dataset(path, format="NETCDF4", mode="w", parallel=True, comm=self.comm, info=MPI.Info())
     else:
-        netcdf = Dataset(path, format="NETCDF4", mode='w', parallel=False)
+        netcdf = Dataset(path, format="NETCDF4", mode="w", parallel=False)
     if self.info:
         print("Rank {0:03d}: NetCDF ready to write".format(self.rank))
 
@@ -120,25 +120,27 @@
     self._create_dimensions(netcdf)
 
     # Create dimension variables
-    self._lev['data'] = np.array(self._lev['data'], dtype=np.float32)
-    self._lat['data'] = np.array(self._lat['data'], dtype=np.float32)
-    self._lat_bnds['data'] = np.array(self._lat_bnds['data'], dtype=np.float32)
-    self._lon['data'] = np.array(self._lon['data'], dtype=np.float32)
-    self._lon_bnds['data'] = np.array(self._lon_bnds['data'], dtype=np.float32)
+    if self.master:
+        self._full_lev["data"] = array(self._full_lev["data"], dtype=float32)
+        self._full_lat["data"] = array(self._full_lat["data"], dtype=float32)
+        self._full_lat_bnds["data"] = array(self._full_lat_bnds["data"], dtype=float32)
+        self._full_lon["data"] = array(self._full_lon["data"], dtype=float32)
+        self._full_lon_bnds["data"] = array(self._full_lon_bnds["data"], dtype=float32)
+
     if isinstance(self, nes.RotatedNes):
-        self._rlat['data'] = np.array(self._rlat['data'], dtype=np.float32)
-        self._rlon['data'] = np.array(self._rlon['data'], dtype=np.float32)
+        self._full_rlat["data"] = array(self._full_rlat["data"], dtype=float32)
+        self._full_rlon["data"] = array(self._full_rlon["data"], dtype=float32)
     if isinstance(self, nes.LCCNes) or isinstance(self, nes.MercatorNes):
-        self._y['data'] = np.array(self._y['data'], dtype=np.float32)
-        self._x['data'] = np.array(self._x['data'], dtype=np.float32)
+        self._full_y["data"] = array(self._full_y["data"], dtype=float32)
+        self._full_x["data"] = array(self._full_x["data"], dtype=float32)
 
     self._create_dimension_variables(netcdf)
     if self.info:
         print("Rank {0:03d}: Dimensions done".format(self.rank))
 
     # Create cell measures
-    if 'cell_area' in self.cell_measures.keys():
-        self.cell_measures['cell_area']['data'] = np.array(self.cell_measures['cell_area']['data'], dtype=np.float32)
+    if "cell_area" in self.cell_measures.keys():
+        self.cell_measures["cell_area"]["data"] = array(self.cell_measures["cell_area"]["data"], dtype=float32)
     self._create_cell_measures(netcdf)
 
     # Create variables
@@ -151,10 +153,10 @@
     if self.global_attrs is not None:
         for att_name, att_value in self.global_attrs.items():
             netcdf.setncattr(att_name, att_value)
-    netcdf.setncattr('Conventions', 'CF-1.7')
+    netcdf.setncattr("Conventions", "CF-1.7")
 
     if keep_open:
-        self.netcdf = netcdf
+        self.dataset = netcdf
     else:
         netcdf.close()
 
@@ -171,7 +173,7 @@
     Parameters
     ----------
     self : nes.Nes
-        Nes Object.
+        A Nes Object.
 
     Returns
     -------
@@ -180,19 +182,19 @@
     """
 
     for var_name in self.variables.keys():
-        if isinstance(self.variables[var_name]['data'], np.ndarray):
-            if self.variables[var_name]['units'] == 'mol.s-1.m-2':
+        if isinstance(self.variables[var_name]["data"], ndarray):
+            if self.variables[var_name]["units"] == "mol.s-1.m-2":
                 # Kmol to mol
-                self.variables[var_name]['data'] = np.array(self.variables[var_name]['data'] * 1000, dtype=np.float32)
-            elif self.variables[var_name]['units'] == 'kg.s-1.m-2':
+                self.variables[var_name]["data"] = array(self.variables[var_name]["data"] * 1000, dtype=float32)
+            elif self.variables[var_name]["units"] == "kg.s-1.m-2":
                 # No unit change needed
-                self.variables[var_name]['data'] = np.array(self.variables[var_name]['data'], dtype=np.float32)
+                self.variables[var_name]["data"] = array(self.variables[var_name]["data"], dtype=float32)
 
             else:
                 raise TypeError("The unit '{0}' of specie {1} is not defined correctly. ".format(
-                    self.variables[var_name]['units'], var_name) +
+                    self.variables[var_name]["units"], var_name) +
                                 "Should be 'mol.s-1.m-2' or 'kg.s-1.m-2'")
-        self.variables[var_name]['dtype'] = np.float32
+        self.variables[var_name]["dtype"] = float32
     return self.variables
diff --git a/docs/build/html/_modules/nes/nes_formats/wrf_chem_format.html b/docs/build/html/_modules/nes/nes_formats/wrf_chem_format.html index 4398dc73f7e671b23328beca5d4721714e844b3e..66e55dbfa3cec41285f1184d0d6ab703b35dfbbf 100644 --- a/docs/build/html/_modules/nes/nes_formats/wrf_chem_format.html +++ b/docs/build/html/_modules/nes/nes_formats/wrf_chem_format.html @@ -79,31 +79,30 @@

Source code for nes.nes_formats.wrf_chem_format

 #!/usr/bin/env python
 
-import numpy as np
 import nes
+from numpy import float32, int32, ndarray, array, chararray
 from netCDF4 import Dataset
 from mpi4py import MPI
 from copy import deepcopy
-from datetime import datetime
 
 GLOBAL_ATTRIBUTES_ORDER = [
-    'TITLE', 'START_DATE', 'WEST-EAST_GRID_DIMENSION', 'SOUTH-NORTH_GRID_DIMENSION', 'BOTTOM-TOP_GRID_DIMENSION', 'DX',
-    'DY', 'GRIDTYPE', 'DIFF_OPT', 'KM_OPT', 'DAMP_OPT', 'DAMPCOEF', 'KHDIF', 'KVDIF', 'MP_PHYSICS', 'RA_LW_PHYSICS',
-    'RA_SW_PHYSICS', 'SF_SFCLAY_PHYSICS', 'SF_SURFACE_PHYSICS', 'BL_PBL_PHYSICS', 'CU_PHYSICS', 'SF_LAKE_PHYSICS',
-    'SURFACE_INPUT_SOURCE', 'SST_UPDATE', 'GRID_FDDA', 'GFDDA_INTERVAL_M', 'GFDDA_END_H', 'GRID_SFDDA',
-    'SGFDDA_INTERVAL_M', 'SGFDDA_END_H', 'WEST-EAST_PATCH_START_UNSTAG', 'WEST-EAST_PATCH_END_UNSTAG',
-    'WEST-EAST_PATCH_START_STAG', 'WEST-EAST_PATCH_END_STAG', 'SOUTH-NORTH_PATCH_START_UNSTAG',
-    'SOUTH-NORTH_PATCH_END_UNSTAG', 'SOUTH-NORTH_PATCH_START_STAG', 'SOUTH-NORTH_PATCH_END_STAG',
-    'BOTTOM-TOP_PATCH_START_UNSTAG', 'BOTTOM-TOP_PATCH_END_UNSTAG', 'BOTTOM-TOP_PATCH_START_STAG',
-    'BOTTOM-TOP_PATCH_END_STAG', 'GRID_ID', 'PARENT_ID', 'I_PARENT_START', 'J_PARENT_START', 'PARENT_GRID_RATIO', 'DT',
-    'CEN_LAT', 'CEN_LON', 'TRUELAT1', 'TRUELAT2', 'MOAD_CEN_LAT', 'STAND_LON', 'POLE_LAT', 'POLE_LON', 'GMT', 'JULYR',
-    'JULDAY', 'MAP_PROJ', 'MMINLU', 'NUM_LAND_CAT', 'ISWATER', 'ISLAKE', 'ISICE', 'ISURBAN', 'ISOILWATER']
+    "TITLE", "START_DATE", "WEST-EAST_GRID_DIMENSION", "SOUTH-NORTH_GRID_DIMENSION", "BOTTOM-TOP_GRID_DIMENSION", "DX",
+    "DY", "GRIDTYPE", "DIFF_OPT", "KM_OPT", "DAMP_OPT", "DAMPCOEF", "KHDIF", "KVDIF", "MP_PHYSICS", "RA_LW_PHYSICS",
+    "RA_SW_PHYSICS", "SF_SFCLAY_PHYSICS", "SF_SURFACE_PHYSICS", "BL_PBL_PHYSICS", "CU_PHYSICS", "SF_LAKE_PHYSICS",
+    "SURFACE_INPUT_SOURCE", "SST_UPDATE", "GRID_FDDA", "GFDDA_INTERVAL_M", "GFDDA_END_H", "GRID_SFDDA",
+    "SGFDDA_INTERVAL_M", "SGFDDA_END_H", "WEST-EAST_PATCH_START_UNSTAG", "WEST-EAST_PATCH_END_UNSTAG",
+    "WEST-EAST_PATCH_START_STAG", "WEST-EAST_PATCH_END_STAG", "SOUTH-NORTH_PATCH_START_UNSTAG",
+    "SOUTH-NORTH_PATCH_END_UNSTAG", "SOUTH-NORTH_PATCH_START_STAG", "SOUTH-NORTH_PATCH_END_STAG",
+    "BOTTOM-TOP_PATCH_START_UNSTAG", "BOTTOM-TOP_PATCH_END_UNSTAG", "BOTTOM-TOP_PATCH_START_STAG",
+    "BOTTOM-TOP_PATCH_END_STAG", "GRID_ID", "PARENT_ID", "I_PARENT_START", "J_PARENT_START", "PARENT_GRID_RATIO", "DT",
+    "CEN_LAT", "CEN_LON", "TRUELAT1", "TRUELAT2", "MOAD_CEN_LAT", "STAND_LON", "POLE_LAT", "POLE_LON", "GMT", "JULYR",
+    "JULDAY", "MAP_PROJ", "MMINLU", "NUM_LAND_CAT", "ISWATER", "ISLAKE", "ISICE", "ISURBAN", "ISOILWATER"]
 
 
 # noinspection DuplicatedCode
 

 [docs]
-def to_netcdf_wrf_chem(self, path, chunking=False, keep_open=False):
+def to_netcdf_wrf_chem(self, path, keep_open=False):
     """
     Create the NetCDF using netcdf4-python methods.
 
@@ -113,13 +112,11 @@
         Source projection Nes Object.
     path : str
         Path to the output netCDF file.
-    chunking: bool
-        Indicates if you want to chunk the output netCDF.
     keep_open : bool
         Indicates if you want to keep open the NetCDH to fill the data by time-step.
     """
 
-    self.to_dtype(np.float32)
+    self.to_dtype(float32)
 
     set_global_attributes(self)
     change_variable_attributes(self)
@@ -128,9 +125,9 @@
     if self.info:
         print("Rank {0:03d}: Creating {1}".format(self.rank, path))
     if self.size > 1:
-        netcdf = Dataset(path, format="NETCDF4", mode='w', parallel=True, comm=self.comm, info=MPI.Info())
+        netcdf = Dataset(path, format="NETCDF4", mode="w", parallel=True, comm=self.comm, info=MPI.Info())
     else:
-        netcdf = Dataset(path, format="NETCDF4", mode='w', parallel=False)
+        netcdf = Dataset(path, format="NETCDF4", mode="w", parallel=False)
     if self.info:
         print("Rank {0:03d}: NetCDF ready to write".format(self.rank))
 
@@ -149,7 +146,7 @@
 
     # Close NetCDF
     if keep_open:
-        self.netcdf = netcdf
+        self.dataset = netcdf
     else:
         netcdf.close()
 
@@ -166,32 +163,32 @@
     Parameters
     ----------
     self : nes.Nes
-        Nes Object.
+        A Nes Object.
     """
 
     for var_name in self.variables.keys():
-        if self.variables[var_name]['units'] == 'mol.h-1.km-2':
-            self.variables[var_name]['FieldType'] = np.int32(104)
-            self.variables[var_name]['MemoryOrder'] = "XYZ"
-            self.variables[var_name]['description'] = "EMISSIONS"
-            self.variables[var_name]['units'] = "mol km^-2 hr^-1"
-            self.variables[var_name]['stagger'] = ""
-            self.variables[var_name]['coordinates'] = "XLONG XLAT"
-
-        elif self.variables[var_name]['units'] == 'ug.s-1.m-2':
-            self.variables[var_name]['FieldType'] = np.int32(104)
-            self.variables[var_name]['MemoryOrder'] = "XYZ"
-            self.variables[var_name]['description'] = "EMISSIONS"
-            self.variables[var_name]['units'] = "ug/m3 m/s"
-            self.variables[var_name]['stagger'] = ""
-            self.variables[var_name]['coordinates'] = "XLONG XLAT"
+        if self.variables[var_name]["units"] == "mol.h-1.km-2":
+            self.variables[var_name]["FieldType"] = int32(104)
+            self.variables[var_name]["MemoryOrder"] = "XYZ"
+            self.variables[var_name]["description"] = "EMISSIONS"
+            self.variables[var_name]["units"] = "mol km^-2 hr^-1"
+            self.variables[var_name]["stagger"] = ""
+            self.variables[var_name]["coordinates"] = "XLONG XLAT"
+
+        elif self.variables[var_name]["units"] == "ug.s-1.m-2":
+            self.variables[var_name]["FieldType"] = int32(104)
+            self.variables[var_name]["MemoryOrder"] = "XYZ"
+            self.variables[var_name]["description"] = "EMISSIONS"
+            self.variables[var_name]["units"] = "ug/m3 m/s"
+            self.variables[var_name]["stagger"] = ""
+            self.variables[var_name]["coordinates"] = "XLONG XLAT"
 
         else:
             raise TypeError("The unit '{0}' of specie {1} is not defined correctly. ".format(
-                self.variables[var_name]['units'], var_name) + "Should be 'mol.h-1.km-2' or 'ug.s-1.m-2'")
+                self.variables[var_name]["units"], var_name) + "Should be 'mol.h-1.km-2' or 'ug.s-1.m-2'")
 
-        if 'long_name' in self.variables[var_name].keys():
-            del self.variables[var_name]['long_name']
+        if "long_name" in self.variables[var_name].keys():
+            del self.variables[var_name]["long_name"]
 
     return None

 
@@ -206,7 +203,7 @@
     Parameters
     ----------
     self : nes.Nes
-        Nes Object.
+        A Nes Object.
 
     Returns
     -------
@@ -216,22 +213,22 @@
 
     self.calculate_grid_area(overwrite=False)
     for var_name in self.variables.keys():
-        if isinstance(self.variables[var_name]['data'], np.ndarray):
-            if self.variables[var_name]['units'] == 'mol.h-1.km-2':
+        if isinstance(self.variables[var_name]["data"], ndarray):
+            if self.variables[var_name]["units"] == "mol.h-1.km-2":
                 # 10**6 -> from m2 to km2
                 # 10**3 -> from kmol to mol
                 # 3600 -> from s to h
-                self.variables[var_name]['data'] = np.array(
-                    self.variables[var_name]['data'] * 10 ** 6 * 10 ** 3 * 3600, dtype=np.float32)
-            elif self.variables[var_name]['units'] == 'ug.s-1.m-2':
+                self.variables[var_name]["data"] = array(
+                    self.variables[var_name]["data"] * 10 ** 6 * 10 ** 3 * 3600, dtype=float32)
+            elif self.variables[var_name]["units"] == "ug.s-1.m-2":
                 # 10**9 -> from kg to ug
-                self.variables[var_name]['data'] = np.array(
-                    self.variables[var_name]['data'] * 10 ** 9, dtype=np.float32)
+                self.variables[var_name]["data"] = array(
+                    self.variables[var_name]["data"] * 10 ** 9, dtype=float32)
 
             else:
                 raise TypeError("The unit '{0}' of specie {1} is not defined correctly. ".format(
-                    self.variables[var_name]['units'], var_name) + "Should be 'mol.h-1.km-2' or 'ug.s-1.m-2'")
-        self.variables[var_name]['dtype'] = np.float32
+                    self.variables[var_name]["units"], var_name) + "Should be 'mol.h-1.km-2' or 'ug.s-1.m-2'")
+        self.variables[var_name]["dtype"] = float32
 
     return self.variables
@@ -246,7 +243,7 @@ Parameters ---------- self : nes.Nes - Nes Object. + A Nes Object. Returns ------- @@ -254,7 +251,7 @@ Array with the content of TFLAG. """ - aux_times = np.chararray((len(self.time), 19), itemsize=1) + aux_times = chararray((len(self.time), 19), itemsize=1) for i_d, aux_date in enumerate(self.time): aux_times[i_d] = list(aux_date.strftime("%Y-%m-%d_%H:%M:%S")) @@ -263,6 +260,7 @@ +# noinspection DuplicatedCode
[docs] def set_global_attributes(self): @@ -272,141 +270,141 @@ Parameters ---------- self : nes.Nes - Nes Object. + A Nes Object. """ - now = datetime.now() - if len(self.time) > 1: - tstep = ((self.time[1] - self.time[0]).seconds // 3600) * 10000 - else: - tstep = 1 * 10000 + # now = datetime.now() + # if len(self.time) > 1: + # tstep = ((self.time[1] - self.time[0]).seconds // 3600) * 10000 + # else: + # tstep = 1 * 10000 current_attributes = deepcopy(self.global_attrs) del self.global_attrs - self.global_attrs = {'TITLE': None, - 'START_DATE': self.time[0].strftime("%Y-%m-%d_%H:%M:%S"), - 'WEST-EAST_GRID_DIMENSION': None, # Projection dependent attributes - 'SOUTH-NORTH_GRID_DIMENSION': None, # Projection dependent attributes - 'BOTTOM-TOP_GRID_DIMENSION': np.int32(45), - 'DX': None, # Projection dependent attributes - 'DY': None, # Projection dependent attributes - 'GRIDTYPE': 'C', - 'DIFF_OPT': np.int32(1), - 'KM_OPT': np.int32(4), - 'DAMP_OPT': np.int32(3), - 'DAMPCOEF': np.float32(0.2), - 'KHDIF': np.float32(0.), - 'KVDIF': np.float32(0.), - 'MP_PHYSICS': np.int32(6), - 'RA_LW_PHYSICS': np.int32(4), - 'RA_SW_PHYSICS': np.int32(4), - 'SF_SFCLAY_PHYSICS': np.int32(2), - 'SF_SURFACE_PHYSICS': np.int32(2), - 'BL_PBL_PHYSICS': np.int32(8), - 'CU_PHYSICS': np.int32(0), - 'SF_LAKE_PHYSICS': np.int32(0), - 'SURFACE_INPUT_SOURCE': None, # Projection dependent attributes - 'SST_UPDATE': np.int32(0), - 'GRID_FDDA': np.int32(0), - 'GFDDA_INTERVAL_M': np.int32(0), - 'GFDDA_END_H': np.int32(0), - 'GRID_SFDDA': np.int32(0), - 'SGFDDA_INTERVAL_M': np.int32(0), - 'SGFDDA_END_H': np.int32(0), - 'WEST-EAST_PATCH_START_UNSTAG': None, # Projection dependent attributes - 'WEST-EAST_PATCH_END_UNSTAG': None, # Projection dependent attributes - 'WEST-EAST_PATCH_START_STAG': None, # Projection dependent attributes - 'WEST-EAST_PATCH_END_STAG': None, # Projection dependent attributes - 'SOUTH-NORTH_PATCH_START_UNSTAG': None, # Projection dependent attributes - 'SOUTH-NORTH_PATCH_END_UNSTAG': None, # Projection dependent attributes - 'SOUTH-NORTH_PATCH_START_STAG': None, # Projection dependent attributes - 'SOUTH-NORTH_PATCH_END_STAG': None, # Projection dependent attributes - 'BOTTOM-TOP_PATCH_START_UNSTAG': None, - 'BOTTOM-TOP_PATCH_END_UNSTAG': None, - 'BOTTOM-TOP_PATCH_START_STAG': None, - 'BOTTOM-TOP_PATCH_END_STAG': None, - 'GRID_ID': np.int32(1), - 'PARENT_ID': np.int32(0), - 'I_PARENT_START': np.int32(1), - 'J_PARENT_START': np.int32(1), - 'PARENT_GRID_RATIO': np.int32(1), - 'DT': np.float32(18.), - 'CEN_LAT': None, # Projection dependent attributes - 'CEN_LON': None, # Projection dependent attributes - 'TRUELAT1': None, # Projection dependent attributes - 'TRUELAT2': None, # Projection dependent attributes - 'MOAD_CEN_LAT': None, # Projection dependent attributes - 'STAND_LON': None, # Projection dependent attributes - 'POLE_LAT': None, # Projection dependent attributes - 'POLE_LON': None, # Projection dependent attributes - 'GMT': np.float32(self.time[0].hour), - 'JULYR': np.int32(self.time[0].year), - 'JULDAY': np.int32(self.time[0].strftime("%j")), - 'MAP_PROJ': None, # Projection dependent attributes - 'MMINLU': 'MODIFIED_IGBP_MODIS_NOAH', - 'NUM_LAND_CAT': np.int32(41), - 'ISWATER': np.int32(17), - 'ISLAKE': np.int32(-1), - 'ISICE': np.int32(15), - 'ISURBAN': np.int32(13), - 'ISOILWATER': np.int32(14), - 'HISTORY': "", # Editable + self.global_attrs = {"TITLE": None, + "START_DATE": self.time[0].strftime("%Y-%m-%d_%H:%M:%S"), + "WEST-EAST_GRID_DIMENSION": None, # Projection dependent attributes + "SOUTH-NORTH_GRID_DIMENSION": None, # Projection dependent attributes + "BOTTOM-TOP_GRID_DIMENSION": int32(45), + "DX": None, # Projection dependent attributes + "DY": None, # Projection dependent attributes + "GRIDTYPE": "C", + "DIFF_OPT": int32(1), + "KM_OPT": int32(4), + "DAMP_OPT": int32(3), + "DAMPCOEF": float32(0.2), + "KHDIF": float32(0.), + "KVDIF": float32(0.), + "MP_PHYSICS": int32(6), + "RA_LW_PHYSICS": int32(4), + "RA_SW_PHYSICS": int32(4), + "SF_SFCLAY_PHYSICS": int32(2), + "SF_SURFACE_PHYSICS": int32(2), + "BL_PBL_PHYSICS": int32(8), + "CU_PHYSICS": int32(0), + "SF_LAKE_PHYSICS": int32(0), + "SURFACE_INPUT_SOURCE": None, # Projection dependent attributes + "SST_UPDATE": int32(0), + "GRID_FDDA": int32(0), + "GFDDA_INTERVAL_M": int32(0), + "GFDDA_END_H": int32(0), + "GRID_SFDDA": int32(0), + "SGFDDA_INTERVAL_M": int32(0), + "SGFDDA_END_H": int32(0), + "WEST-EAST_PATCH_START_UNSTAG": None, # Projection dependent attributes + "WEST-EAST_PATCH_END_UNSTAG": None, # Projection dependent attributes + "WEST-EAST_PATCH_START_STAG": None, # Projection dependent attributes + "WEST-EAST_PATCH_END_STAG": None, # Projection dependent attributes + "SOUTH-NORTH_PATCH_START_UNSTAG": None, # Projection dependent attributes + "SOUTH-NORTH_PATCH_END_UNSTAG": None, # Projection dependent attributes + "SOUTH-NORTH_PATCH_START_STAG": None, # Projection dependent attributes + "SOUTH-NORTH_PATCH_END_STAG": None, # Projection dependent attributes + "BOTTOM-TOP_PATCH_START_UNSTAG": None, + "BOTTOM-TOP_PATCH_END_UNSTAG": None, + "BOTTOM-TOP_PATCH_START_STAG": None, + "BOTTOM-TOP_PATCH_END_STAG": None, + "GRID_ID": int32(1), + "PARENT_ID": int32(0), + "I_PARENT_START": int32(1), + "J_PARENT_START": int32(1), + "PARENT_GRID_RATIO": int32(1), + "DT": float32(18.), + "CEN_LAT": None, # Projection dependent attributes + "CEN_LON": None, # Projection dependent attributes + "TRUELAT1": None, # Projection dependent attributes + "TRUELAT2": None, # Projection dependent attributes + "MOAD_CEN_LAT": None, # Projection dependent attributes + "STAND_LON": None, # Projection dependent attributes + "POLE_LAT": None, # Projection dependent attributes + "POLE_LON": None, # Projection dependent attributes + "GMT": float32(self.time[0].hour), + "JULYR": int32(self.time[0].year), + "JULDAY": int32(self.time[0].strftime("%j")), + "MAP_PROJ": None, # Projection dependent attributes + "MMINLU": "MODIFIED_IGBP_MODIS_NOAH", + "NUM_LAND_CAT": int32(41), + "ISWATER": int32(17), + "ISLAKE": int32(-1), + "ISICE": int32(15), + "ISURBAN": int32(13), + "ISOILWATER": int32(14), + "HISTORY": "", # Editable } # Editable attributes - float_atts = ['DAMPCOEF', 'KHDIF', 'KVDIF', 'CEN_LAT', 'CEN_LON', 'DT'] - int_atts = ['BOTTOM-TOP_GRID_DIMENSION', 'DIFF_OPT', 'KM_OPT', 'DAMP_OPT', - 'MP_PHYSICS', 'RA_LW_PHYSICS', 'RA_SW_PHYSICS', 'SF_SFCLAY_PHYSICS', 'SF_SURFACE_PHYSICS', - 'BL_PBL_PHYSICS', 'CU_PHYSICS', 'SF_LAKE_PHYSICS', 'SURFACE_INPUT_SOURCE', 'SST_UPDATE', - 'GRID_FDDA', 'GFDDA_INTERVAL_M', 'GFDDA_END_H', 'GRID_SFDDA', 'SGFDDA_INTERVAL_M', 'SGFDDA_END_H', - 'BOTTOM-TOP_PATCH_START_UNSTAG', 'BOTTOM-TOP_PATCH_END_UNSTAG', 'BOTTOM-TOP_PATCH_START_STAG', - 'BOTTOM-TOP_PATCH_END_STAG', 'GRID_ID', 'PARENT_ID', 'I_PARENT_START', 'J_PARENT_START', - 'PARENT_GRID_RATIO', 'NUM_LAND_CAT', 'ISWATER', 'ISLAKE', 'ISICE', 'ISURBAN', 'ISOILWATER'] - str_atts = ['GRIDTYPE', 'MMINLU', 'HISTORY'] + float_atts = ["DAMPCOEF", "KHDIF", "KVDIF", "CEN_LAT", "CEN_LON", "DT"] + int_atts = ["BOTTOM-TOP_GRID_DIMENSION", "DIFF_OPT", "KM_OPT", "DAMP_OPT", + "MP_PHYSICS", "RA_LW_PHYSICS", "RA_SW_PHYSICS", "SF_SFCLAY_PHYSICS", "SF_SURFACE_PHYSICS", + "BL_PBL_PHYSICS", "CU_PHYSICS", "SF_LAKE_PHYSICS", "SURFACE_INPUT_SOURCE", "SST_UPDATE", + "GRID_FDDA", "GFDDA_INTERVAL_M", "GFDDA_END_H", "GRID_SFDDA", "SGFDDA_INTERVAL_M", "SGFDDA_END_H", + "BOTTOM-TOP_PATCH_START_UNSTAG", "BOTTOM-TOP_PATCH_END_UNSTAG", "BOTTOM-TOP_PATCH_START_STAG", + "BOTTOM-TOP_PATCH_END_STAG", "GRID_ID", "PARENT_ID", "I_PARENT_START", "J_PARENT_START", + "PARENT_GRID_RATIO", "NUM_LAND_CAT", "ISWATER", "ISLAKE", "ISICE", "ISURBAN", "ISOILWATER"] + str_atts = ["GRIDTYPE", "MMINLU", "HISTORY"] for att_name, att_value in current_attributes.items(): if att_name in int_atts: - self.global_attrs[att_name] = np.int32(att_value) + self.global_attrs[att_name] = int32(att_value) elif att_name in float_atts: - self.global_attrs[att_name] = np.float32(att_value) + self.global_attrs[att_name] = float32(att_value) elif att_name in str_atts: self.global_attrs[att_name] = str(att_value) # Projection dependent attributes if isinstance(self, nes.LCCNes) or isinstance(self, nes.MercatorNes): - self.global_attrs['WEST-EAST_GRID_DIMENSION'] = np.int32(len(self._x['data']) + 1) - self.global_attrs['SOUTH-NORTH_GRID_DIMENSION'] = np.int32(len(self._y['data']) + 1) - self.global_attrs['DX'] = np.float32(self._x['data'][1] - self._x['data'][0]) - self.global_attrs['DY'] = np.float32(self._y['data'][1] - self._y['data'][0]) - self.global_attrs['SURFACE_INPUT_SOURCE'] = np.int32(1) - self.global_attrs['WEST-EAST_PATCH_START_UNSTAG'] = np.int32(1) - self.global_attrs['WEST-EAST_PATCH_END_UNSTAG'] = np.int32(len(self._x['data'])) - self.global_attrs['WEST-EAST_PATCH_START_STAG'] = np.int32(1) - self.global_attrs['WEST-EAST_PATCH_END_STAG'] = np.int32(len(self._x['data']) + 1) - self.global_attrs['SOUTH-NORTH_PATCH_START_UNSTAG'] = np.int32(1) - self.global_attrs['SOUTH-NORTH_PATCH_END_UNSTAG'] = np.int32(len(self._y['data'])) - self.global_attrs['SOUTH-NORTH_PATCH_START_STAG'] = np.int32(1) - self.global_attrs['SOUTH-NORTH_PATCH_END_STAG'] = np.int32(len(self._y['data']) + 1) - - self.global_attrs['POLE_LAT'] = np.float32(90) - self.global_attrs['POLE_LON'] = np.float32(0) + self.global_attrs["WEST-EAST_GRID_DIMENSION"] = int32(len(self._full_x["data"]) + 1) + self.global_attrs["SOUTH-NORTH_GRID_DIMENSION"] = int32(len(self._full_y["data"]) + 1) + self.global_attrs["DX"] = float32(self._full_x["data"][1] - self._full_x["data"][0]) + self.global_attrs["DY"] = float32(self._full_y["data"][1] - self._full_y["data"][0]) + self.global_attrs["SURFACE_INPUT_SOURCE"] = int32(1) + self.global_attrs["WEST-EAST_PATCH_START_UNSTAG"] = int32(1) + self.global_attrs["WEST-EAST_PATCH_END_UNSTAG"] = int32(len(self._full_x["data"])) + self.global_attrs["WEST-EAST_PATCH_START_STAG"] = int32(1) + self.global_attrs["WEST-EAST_PATCH_END_STAG"] = int32(len(self._full_x["data"]) + 1) + self.global_attrs["SOUTH-NORTH_PATCH_START_UNSTAG"] = int32(1) + self.global_attrs["SOUTH-NORTH_PATCH_END_UNSTAG"] = int32(len(self._full_y["data"])) + self.global_attrs["SOUTH-NORTH_PATCH_START_STAG"] = int32(1) + self.global_attrs["SOUTH-NORTH_PATCH_END_STAG"] = int32(len(self._full_y["data"]) + 1) + + self.global_attrs["POLE_LAT"] = float32(90) + self.global_attrs["POLE_LON"] = float32(0) if isinstance(self, nes.LCCNes): - self.global_attrs['MAP_PROJ'] = np.int32(1) - self.global_attrs['TRUELAT1'] = np.float32(self.projection_data['standard_parallel'][0]) - self.global_attrs['TRUELAT2'] = np.float32(self.projection_data['standard_parallel'][1]) - self.global_attrs['MOAD_CEN_LAT'] = np.float32(self.projection_data['latitude_of_projection_origin']) - self.global_attrs['STAND_LON'] = np.float32(self.projection_data['longitude_of_central_meridian']) - self.global_attrs['CEN_LAT'] = np.float32(self.projection_data['latitude_of_projection_origin']) - self.global_attrs['CEN_LON'] = np.float32(self.projection_data['longitude_of_central_meridian']) + self.global_attrs["MAP_PROJ"] = int32(1) + self.global_attrs["TRUELAT1"] = float32(self.projection_data["standard_parallel"][0]) + self.global_attrs["TRUELAT2"] = float32(self.projection_data["standard_parallel"][1]) + self.global_attrs["MOAD_CEN_LAT"] = float32(self.projection_data["latitude_of_projection_origin"]) + self.global_attrs["STAND_LON"] = float32(self.projection_data["longitude_of_central_meridian"]) + self.global_attrs["CEN_LAT"] = float32(self.projection_data["latitude_of_projection_origin"]) + self.global_attrs["CEN_LON"] = float32(self.projection_data["longitude_of_central_meridian"]) elif isinstance(self, nes.MercatorNes): - self.global_attrs['MAP_PROJ'] = np.int32(3) - self.global_attrs['TRUELAT1'] = np.float32(self.projection_data['standard_parallel']) - self.global_attrs['TRUELAT2'] = np.float32(0) - self.global_attrs['MOAD_CEN_LAT'] = np.float32(self.projection_data['standard_parallel']) - self.global_attrs['STAND_LON'] = np.float32(self.projection_data['longitude_of_projection_origin']) - self.global_attrs['CEN_LAT'] = np.float32(self.projection_data['standard_parallel']) - self.global_attrs['CEN_LON'] = np.float32(self.projection_data['longitude_of_projection_origin']) + self.global_attrs["MAP_PROJ"] = int32(3) + self.global_attrs["TRUELAT1"] = float32(self.projection_data["standard_parallel"]) + self.global_attrs["TRUELAT2"] = float32(0) + self.global_attrs["MOAD_CEN_LAT"] = float32(self.projection_data["standard_parallel"]) + self.global_attrs["STAND_LON"] = float32(self.projection_data["longitude_of_projection_origin"]) + self.global_attrs["CEN_LAT"] = float32(self.projection_data["standard_parallel"]) + self.global_attrs["CEN_LON"] = float32(self.projection_data["longitude_of_projection_origin"]) return None
@@ -416,7 +414,7 @@ [docs] def create_dimensions(self, netcdf): """ - Create 'time', 'time_bnds', 'lev', 'lon' and 'lat' dimensions. + Create "time", "time_bnds", "lev", "lon" and "lat" dimensions. Parameters ---------- @@ -426,12 +424,12 @@ netcdf4-python open dataset. """ - netcdf.createDimension('Time', len(self._time)) - netcdf.createDimension('DateStrLen', 19) - netcdf.createDimension('emissions_zdim', len(self._lev['data'])) + netcdf.createDimension("Time", len(self.get_full_times())) + netcdf.createDimension("DateStrLen", 19) + netcdf.createDimension("emissions_zdim", len(self.get_full_levels()["data"])) if isinstance(self, nes.LCCNes): - netcdf.createDimension('west_east', len(self._x['data'])) - netcdf.createDimension('south_north', len(self._y['data'])) + netcdf.createDimension("west_east", len(self._full_x["data"])) + netcdf.createDimension("south_north", len(self._full_y["data"])) return None @@ -441,23 +439,24 @@ [docs] def create_dimension_variables(self, netcdf): """ - Create the 'y' and 'x' variables. + Create the "y" and "x" variables. Parameters ---------- self : nes.Nes - Nes Object. + A Nes Object. netcdf : Dataset NetCDF object. """ - times = netcdf.createVariable('Times', 'S1', ('Time', 'DateStrLen', )) + times = netcdf.createVariable("Times", "S1", ("Time", "DateStrLen", )) times[:] = create_times_var(self) return None +# noinspection DuplicatedCode
[docs] def create_variables(self, netcdf): @@ -473,30 +472,30 @@ """ for var_name, var_info in self.variables.items(): - var = netcdf.createVariable(var_name, 'f', ('Time', 'emissions_zdim', 'south_north', 'west_east',), + var = netcdf.createVariable(var_name, "f", ("Time", "emissions_zdim", "south_north", "west_east",), zlib=self.zip_lvl > 0, complevel=self.zip_lvl) - var.FieldType = var_info['FieldType'] - var.MemoryOrder = var_info['MemoryOrder'] - var.description = var_info['description'] - var.units = var_info['units'] - var.stagger = var_info['stagger'] - var.coordinates = var_info['coordinates'] - - if var_info['data'] is not None: + var.FieldType = var_info["FieldType"] + var.MemoryOrder = var_info["MemoryOrder"] + var.description = var_info["description"] + var.units = var_info["units"] + var.stagger = var_info["stagger"] + var.coordinates = var_info["coordinates"] + + if var_info["data"] is not None: if self.info: print("Rank {0:03d}: Filling {1})".format(self.rank, var_name)) - if isinstance(var_info['data'], int) and var_info['data'] == 0: - var[self.write_axis_limits['t_min']:self.write_axis_limits['t_max'], - self.write_axis_limits['z_min']:self.write_axis_limits['z_max'], - self.write_axis_limits['y_min']:self.write_axis_limits['y_max'], - self.write_axis_limits['x_min']:self.write_axis_limits['x_max']] = 0 - - elif len(var_info['data'].shape) == 4: - var[self.write_axis_limits['t_min']:self.write_axis_limits['t_max'], - self.write_axis_limits['z_min']:self.write_axis_limits['z_max'], - self.write_axis_limits['y_min']:self.write_axis_limits['y_max'], - self.write_axis_limits['x_min']:self.write_axis_limits['x_max']] = var_info['data'] + if isinstance(var_info["data"], int) and var_info["data"] == 0: + var[self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], + self.write_axis_limits["z_min"]:self.write_axis_limits["z_max"], + self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"], + self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]] = 0 + + elif len(var_info["data"].shape) == 4: + var[self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], + self.write_axis_limits["z_min"]:self.write_axis_limits["z_max"], + self.write_axis_limits["y_min"]:self.write_axis_limits["y_max"], + self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]] = var_info["data"] return None
diff --git a/docs/build/html/_sources/readme.rst.txt b/docs/build/html/_sources/readme.rst.txt index c26dea0d974fb0f68eb2ea444c2cda0557e5adc0..25bae6bf2a0e829b613f97ade45ac84b7029df02 100644 --- a/docs/build/html/_sources/readme.rst.txt +++ b/docs/build/html/_sources/readme.rst.txt @@ -2,5 +2,22 @@ Introduction ============ -.. include:: ../../README.rst - :start-after: .. start-here \ No newline at end of file +About +============ + +NES (NetCDF for Earth Science) is the Python I/O library used by SNES, the framework that implements the data post-processing pipelines at the Earth Sciences department, to read and write netCDF files. + +How to clone +============ + +Use the following command to get a copy of the repository: + +:: + + pip install NES + +How to run +============ + +For running NES, please follow the instruction in +the `wiki `_. \ No newline at end of file diff --git a/docs/build/html/changelog.html b/docs/build/html/changelog.html index c126d010f4fdbbaee4973692157620505bfd15c0..e7a69bfca8c56180b4f26d884061666055dbbc56 100644 --- a/docs/build/html/changelog.html +++ b/docs/build/html/changelog.html @@ -52,12 +52,13 @@
  • Projections
  • Contributing
  • CHANGELOG
  • Authors
    • @@ -90,9 +91,22 @@

    CHANGELOG

    -

    1.1.4

    +

    1.1.5

      -

    • Release date: Unknown

      • +

    • Release date: 2024/09/20

      • +

    • Changes and new features:

      +
        +

      • to_netcdf function changes the type argument to nc_type

        • +

      • Memory usage optimization

        • +

      • Bugfixes

        • +
      +
      • +
    +
    +
    +

    1.1.4

    +
      +

    • Release date: 2024/05/31

    • Changes and new features:

      • Statistics:

        @@ -103,14 +117,26 @@

      • Documentation

      • Removed negative values on the horizontal interpolation due to unmapped NaNs values.

      • Improved load_nes.py removing redundant code

        • -

      • Fix vertical interpolation for descendant level values (Pressure) ([#71](https://earth.bsc.es/gitlab/es/NES/-/issues/71))

        • -

      • Removed lat-lon dimension on the NetCDF projections that not need them

        • +

      • Direct access to variable data. (#77)

        • +

      • New functionalities for vertical extrapolation. (#74)

        • +

      • Removed cfunits and psutil dependencies.

        • +

      • Updated the requirements and environment.yml for the Conda environment created in MN5 (#78)

        • +

      • Bugfix:

        +
          +

        • Vertical interpolation for descendant level values (Pressure) (#71)

          • +

        • Removed lat-lon dimension on the NetCDF projections that not need them (#72)

          • +

        • Fixed the bug when creating the spatial bounds after selecting a region (#68)

          • +

        • Fixed the bug related to Shapely deprecated function TopologicalError(#76)

          • +

        • Fixed the bug related to NumPy deprecated np.object(#76)

          • +

        • Removed DeprecationWarnings from shapely and pyproj libraries, needed for the porting to MN5 (#78)

          • +
        +
    -
    -

    1.1.3

    +
    +

    1.1.3

    • Release date: 2023/06/16

    • Changes and new features:

      @@ -131,35 +157,35 @@
    -
    -

    1.1.2

    +
    +

    1.1.2

    • Release date: 2023/05/15

    • Changes and new features:

    -
    -

    1.1.1

    +
    +

    1.1.1

    -
    -

    1.1.0

    +
    +

    1.1.0

    • Release date: 2023/03/02

    • Changes and new features:

      @@ -200,8 +226,8 @@
    -
    -

    1.0.0

    +
    +

    1.0.0

    @@ -124,7 +123,7 @@
    nes.nes_formats.cams_ra_format.create_dimension_variables(self, netcdf)[source]
    -

    Create the ‘time’, ‘time_bnds’, ‘lev’, ‘lat’, ‘lat_bnds’, ‘lon’ and ‘lon_bnds’ variables.

    +

    Create the “time”, “time_bnds”, “lev”, “lat”, “lat_bnds”, “lon” and “lon_bnds” variables.

    Parameters

    @@ -139,7 +138,7 @@
    nes.nes_formats.cams_ra_format.create_dimensions(self, netcdf)[source]
    -

    Create ‘time’, ‘time_bnds’, ‘lev’, ‘lon’ and ‘lat’ dimensions.

    +

    Create “time”, “time_bnds”, “lev”, “lon” and “lat” dimensions.

    Parameters

    @@ -154,7 +153,7 @@
    nes.nes_formats.cams_ra_format.create_variables(self, netcdf, i_lev)[source]
    -

    Create the netCDF file variables.

    +

    Create and write variables to a netCDF file.

    Parameters

    @@ -162,15 +161,12 @@
    netcdfDataset

    netcdf4-python open dataset.

    +
    i_levint

    The specific level index to write data for.

    +
    -
    -
    -nes.nes_formats.cams_ra_format.date2num(time_array, time_units=None, time_calendar=None)[source]
    -
    -
    nes.nes_formats.cams_ra_format.to_netcdf_cams_ra(self, path)[source]
    @@ -196,7 +192,7 @@

    Parameters

    -
    selfnes.Nes

    Nes Object.

    +
    selfnes.Nes

    A Nes Object.

    @@ -205,11 +201,11 @@
    nes.nes_formats.cmaq_format.create_dimension_variables(self, netcdf)[source]
    -

    Create the ‘y’ and ‘x’ variables.

    +

    Create the “y” and “x” variables.

    Parameters

    -
    selfnes.Nes

    Nes Object.

    +
    selfnes.Nes

    A Nes Object.

    netcdfDataset

    NetCDF object.

    @@ -220,7 +216,7 @@
    nes.nes_formats.cmaq_format.create_dimensions(self, netcdf)[source]
    -

    Create ‘time’, ‘time_bnds’, ‘lev’, ‘lon’ and ‘lat’ dimensions.

    +

    Create “time”, “time_bnds”, “lev”, “lon” and “lat” dimensions.

    Parameters

    @@ -239,7 +235,7 @@

    Parameters

    -
    selfnes.Nes

    Nes Object.

    +
    selfnes.Nes

    A Nes Object.

    @@ -274,7 +270,7 @@

    Parameters

    -
    selfnes.Nes

    Nes Object.

    +
    selfnes.Nes

    A Nes Object.

    @@ -287,7 +283,7 @@

    Parameters

    -
    selfnes.Nes

    Nes Object.

    +
    selfnes.Nes

    A Nes Object.

    @@ -307,7 +303,7 @@

    Parameters

    -
    selfnes.Nes

    Nes Object.

    +
    selfnes.Nes

    A Nes Object.

    @@ -322,7 +318,7 @@
    -nes.nes_formats.cmaq_format.to_netcdf_cmaq(self, path, chunking=False, keep_open=False)[source]
    +nes.nes_formats.cmaq_format.to_netcdf_cmaq(self, path, keep_open=False)[source]

    Create the NetCDF using netcdf4-python methods.

    Parameters

    @@ -331,8 +327,6 @@
    pathstr

    Path to the output netCDF file.

    -
    chunking: bool

    Indicates if you want to chunk the output netCDF.

    -
    keep_openbool

    Indicates if you want to keep open the NetCDH to fill the data by time-step.

    @@ -349,7 +343,7 @@

    Parameters

    -
    selfnes.Nes

    Nes Object.

    +
    selfnes.Nes

    A Nes Object.

    @@ -391,7 +385,7 @@

    Parameters

    -
    selfnes.Nes

    Nes Object.

    +
    selfnes.Nes

    A Nes Object.

    @@ -400,11 +394,11 @@
    nes.nes_formats.wrf_chem_format.create_dimension_variables(self, netcdf)[source]
    -

    Create the ‘y’ and ‘x’ variables.

    +

    Create the “y” and “x” variables.

    Parameters

    -
    selfnes.Nes

    Nes Object.

    +
    selfnes.Nes

    A Nes Object.

    netcdfDataset

    NetCDF object.

    @@ -415,7 +409,7 @@
    nes.nes_formats.wrf_chem_format.create_dimensions(self, netcdf)[source]
    -

    Create ‘time’, ‘time_bnds’, ‘lev’, ‘lon’ and ‘lat’ dimensions.

    +

    Create “time”, “time_bnds”, “lev”, “lon” and “lat” dimensions.

    Parameters

    @@ -434,7 +428,7 @@

    Parameters

    -
    selfnes.Nes

    Nes Object.

    +
    selfnes.Nes

    A Nes Object.

    @@ -469,7 +463,7 @@

    Parameters

    -
    selfnes.Nes

    Nes Object.

    +
    selfnes.Nes

    A Nes Object.

    @@ -477,7 +471,7 @@
    -nes.nes_formats.wrf_chem_format.to_netcdf_wrf_chem(self, path, chunking=False, keep_open=False)[source]
    +nes.nes_formats.wrf_chem_format.to_netcdf_wrf_chem(self, path, keep_open=False)[source]

    Create the NetCDF using netcdf4-python methods.

    Parameters

    @@ -486,8 +480,6 @@
    pathstr

    Path to the output netCDF file.

    -
    chunking: bool

    Indicates if you want to chunk the output netCDF.

    -
    keep_openbool

    Indicates if you want to keep open the NetCDH to fill the data by time-step.

    @@ -501,7 +493,7 @@

    Parameters

    -
    selfnes.Nes

    Nes Object.

    +
    selfnes.Nes

    A Nes Object.

    diff --git a/docs/build/html/genindex.html b/docs/build/html/genindex.html index 1763a0c1d3f7d8119223490ef18f7457dde778bd..2500805b6f8d74c8d49fb984511ca720fef7aded 100644 --- a/docs/build/html/genindex.html +++ b/docs/build/html/genindex.html @@ -156,8 +156,6 @@
  • concatenate_netcdfs() (in module nes.load_nes)
  • copy() (nes.nc_projections.default_nes.Nes method) -
    • -
  • create_area_conservative_weight_matrix() (in module nes.methods.horizontal_interpolation)
  • create_dimension_variables() (in module nes.nes_formats.cams_ra_format) @@ -177,11 +175,11 @@
  • create_nes() (in module nes.create_nes)
    • -
  • create_nn_weight_matrix() (in module nes.methods.horizontal_interpolation) -
    • -
  • create_providentia_exp_centre_coordinates() (nes.nc_projections.latlon_nes.LatLonNes method) +
  • create_providentia_exp_centre_coordinates() (nes.nc_projections.default_nes.Nes method)
    • @@ -248,10 +244,6 @@ -
    @@ -267,20 +259,10 @@

    F

    + -
    @@ -410,8 +384,6 @@ + -
    +
    • nes.nc_projections.points_nes_ghost @@ -548,8 +522,6 @@
    • module
    -     		-
  • norm() (in module nes.methods.cell_measures) -
    		•

    O

    - \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -422,7 +485,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -438,7 +501,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", "
  • Horizontal interpolation
  • Spatial join
  • Vertical interpolation
      @@ -129,9 +111,9 @@

      Parameters

      -
      grid_corner_lonnp.array

      Array with longitude bounds of grid.

      +
      grid_corner_lonarray

      An Array with longitude bounds of grid.

      -
      grid_corner_latnp.array

      Array with longitude bounds of grid.

      +
      grid_corner_latarray

      An Array with longitude bounds of grid.

      earth_radius_minor_axisfloat

      Radius of the minor axis of the Earth.

      @@ -148,7 +130,7 @@

      Parameters

      -
      geometry_listList

      List with polygon geometries.

      +
      geometry_listList

      A List with polygon geometries.

      earth_radius_minor_axisfloat

      Radius of the minor axis of the Earth.

      @@ -171,244 +153,15 @@
      -
      -
      -nes.methods.cell_measures.cross_product(a, b)[source]
      -

      Calculate cross product between two points.

      -
      -

      Parameters

      -
      -
      anp.array

      Position of point a in cartesian coordinates.

      -
      -
      bnp.array

      Position of point b in cartesian coordinates.

      -
      -
      -
      -
      - -
      -
      -nes.methods.cell_measures.lon_lat_to_cartesian(lon, lat, earth_radius_major_axis=6378137.0)[source]
      -

      Calculate lon, lat coordinates of a point on a sphere.

      -
      -

      Parameters

      -
      -
      lonnp.array

      Longitude values.

      -
      -
      latnp.array

      Latitude values.

      -
      -
      earth_radius_major_axisfloat

      Radius of the major axis of the Earth.

      -
      -
      -
      -
      - -
      -
      -nes.methods.cell_measures.mod_huiliers_area(cell_corner_lon, cell_corner_lat)[source]
      -

      Calculate the area of each cell according to Huilier’s theorem. -Reference: CDO (https://earth.bsc.es/gitlab/ces/cdo/).

      -
      -

      Parameters

      -
      -
      cell_corner_lonnp.array

      Longitude boundaries of each cell.

      -
      -
      cell_corner_latnp.array

      Latitude boundaries of each cell.

      -
      -
      -
      -
      - -
      -
      -nes.methods.cell_measures.norm(cp)[source]
      -

      Normalize the result of the cross product operation.

      -
      -

      Parameters

      -
      -
      cpnp.array

      Cross product between two points.

      -
      -
      -
      -
      - -
      -
      -nes.methods.cell_measures.tri_area(point_0, point_1, point_2)[source]
      -

      Calculate area between three points that form a triangle. -Reference: CDO (https://earth.bsc.es/gitlab/ces/cdo/).

      -
      -

      Parameters

      -
      -
      point_0np.array

      Position of first point in cartesian coordinates.

      -
      -
      point_1np.array

      Position of second point in cartesian coordinates.

      -
      -
      point_2np.array

      Position of third point in cartesian coordinates.

      -
      -
      -
      -
      -

      Horizontal interpolation

      -
      -
      -nes.methods.horizontal_interpolation.create_area_conservative_weight_matrix(self, dst_nes, wm_path=None, flux=False, info=False)[source]
      -

      To create the weight matrix with the area conservative method.

      -
      -

      Parameters

      -
      -
      selfnes.Nes

      Source projection Nes Object.

      -
      -
      dst_nesnes.Nes

      Final projection Nes object.

      -
      -
      wm_pathstr

      Path where write the weight matrix.

      -
      -
      fluxbool

      Indicates if you want to calculate the weight matrix for flux variables.

      -
      -
      info: bool

      Indicates if you want to print extra info during the methods process.

      -
      -
      -
      -
      -

      Returns

      -
      -
      nes.Nes

      Weight matrix.

      -
      -
      -
      -
      - -
      -
      -nes.methods.horizontal_interpolation.create_nn_weight_matrix(self, dst_grid, n_neighbours=4, wm_path=None, info=False)[source]
      -

      To create the weight matrix with the nearest neighbours method.

      -
      -

      Parameters

      -
      -
      selfnes.Nes

      Source projection Nes Object.

      -
      -
      dst_gridnes.Nes

      Final projection Nes object.

      -
      -
      n_neighboursint

      Used if kind == NearestNeighbour. Number of nearest neighbours to interpolate. Default: 4.

      -
      -
      wm_pathstr

      Path where write the weight matrix.

      -
      -
      info: bool

      Indicates if you want to print extra info during the methods process.

      -
      -
      -
      -
      -

      Returns

      -
      -
      nes.Nes

      Weight matrix.

      -
      -
      -
      -
      - -
      -
      -nes.methods.horizontal_interpolation.get_src_data(comm, var_data, idx, parallel_method)[source]
      -

      To obtain the needed src data to interpolate.

      -
      -

      Parameters

      -
      -
      commMPI.Communicator.

      MPI communicator.

      -
      -
      var_datanp.array

      Rank source data.

      -
      -
      idxnp.array

      Index of the needed data in a 2D flatten way.

      -
      -
      parallel_method: str

      Source parallel method.

      -
      -
      -
      -
      -

      Returns

      -
      -
      np.array

      Flatten source needed data.

      -
      -
      -
      -
      - -
      -
      -nes.methods.horizontal_interpolation.get_weights_idx_t_axis(self, dst_grid, weight_matrix_path, kind, n_neighbours, only_create, wm, flux)[source]
      -

      To obtain the weights and source data index through the T axis.

      -
      -

      Parameters

      -
      -
      selfnes.Nes

      Source projection Nes Object.

      -
      -
      dst_gridnes.Nes

      Final projection Nes object.

      -
      -
      weight_matrix_pathstr, None

      Path to the weight matrix to read/create.

      -
      -
      kindstr

      Kind of horizontal interpolation. Accepted values: [‘NearestNeighbour’, ‘Conservative’].

      -
      -
      n_neighboursint

      Used if kind == NearestNeighbour. Number of nearest neighbours to interpolate. Default: 4.

      -
      -
      only_createbool

      Indicates if you want to only create the Weight Matrix.

      -
      -
      wmNes

      Weight matrix Nes File.

      -
      -
      fluxbool

      Indicates if you want to calculate the weight matrix for flux variables.

      -
      -
      -
      -
      -

      Returns

      -
      -
      tuple

      Weights and source data index.

      -
      -
      -
      -
      - -
      -
      -nes.methods.horizontal_interpolation.get_weights_idx_xy_axis(self, dst_grid, weight_matrix_path, kind, n_neighbours, only_create, wm, flux)[source]
      -

      To obtain the weights and source data index through the X or Y axis.

      -
      -

      Parameters

      -
      -
      selfnes.Nes

      Source projection Nes Object.

      -
      -
      dst_gridnes.Nes

      Final projection Nes object.

      -
      -
      weight_matrix_pathstr, None

      Path to the weight matrix to read/create.

      -
      -
      kindstr

      Kind of horizontal interpolation. Accepted values: [‘NearestNeighbour’, ‘Conservative’].

      -
      -
      n_neighboursint

      Used if kind == NearestNeighbour. Number of nearest neighbours to interpolate. Default: 4.

      -
      -
      only_createbool

      Indicates if you want to only create the Weight Matrix.

      -
      -
      wmNes

      Weight matrix Nes File.

      -
      -
      fluxbool

      Indicates if you want to calculate the weight matrix for flux variables.

      -
      -
      -
      -
      -

      Returns

      -
      -
      tuple

      Weights and source data index.

      -
      -
      -
      -
      -
      nes.methods.horizontal_interpolation.interpolate_horizontal(self, dst_grid, weight_matrix_path=None, kind='NearestNeighbour', n_neighbours=4, info=False, to_providentia=False, only_create_wm=False, wm=None, flux=False)[source]

      Horizontal methods from one grid to another one.

      -
      -

      Parameters

      +
      +

      Parameters

      selfnes.Nes

      Source projection Nes Object.

      @@ -416,7 +169,7 @@ Reference: CDO (str, None

      Path to the weight matrix to read/create.

      -
      kindstr

      Kind of horizontal interpolation. Accepted values: [‘NearestNeighbour’, ‘Conservative’].

      +
      kindstr

      Kind of horizontal interpolation. Accepted values: [“NearestNeighbour”, “Conservative”].

      n_neighboursint

      Used if kind == NearestNeighbour. Number of nearest neighbours to interpolate. Default: 4.

      @@ -434,140 +187,21 @@ Reference: CDO (       -
      -nes.methods.horizontal_interpolation.lon_lat_to_cartesian(lon, lat, radius=6378137.0)[source]
      -

      Calculate lon, lat coordinates of a point on a sphere.

      -

      DEPRECATED!!!!

      -
      -

      Parameters

      -
      -
      lonnp.array

      Longitude values.

      -
      -
      latnp.array

      Latitude values.

      -
      -
      radiusfloat

      Radius of the sphere to get the distances.

      -
      -
      -
      -
      - -
      -
      -nes.methods.horizontal_interpolation.lon_lat_to_cartesian_ecef(lon, lat)[source]
      -

      Convert observational/model geographic longitude/latitude coordinates to cartesian ECEF (Earth Centred, -Earth Fixed) coordinates, assuming WGS84 datum and ellipsoid, and that all heights = 0. -ECEF coordiantes represent positions (in meters) as X, Y, Z coordinates, approximating the earth surface -as an ellipsoid of revolution. -This conversion is for the subsequent calculation of euclidean distances of the model gridcell centres -from each observational station. -Defining the distance between two points on the earth’s surface as simply the euclidean distance -between the two lat/lon pairs could lead to inaccurate results depending on the distance -between two points (i.e. 1 deg. of longitude varies with latitude).

      -
      -

      Parameters

      -
      -
      lonnp.array

      Longitude values.

      -
      -
      latnp.array

      Latitude values.

      -
      -
      -
      -
      - -
      -
      -nes.methods.horizontal_interpolation.read_weight_matrix(weight_matrix_path, comm=None, parallel_method='T')[source]
      -

      Read weight matrix.

      -
      -

      Parameters

      -
      -
      weight_matrix_pathstr

      Path of the weight matrix.

      -
      -
      commMPI.Communicator

      Communicator to read the weight matrix.

      -
      -
      parallel_methodstr

      Nes parallel method to read the weight matrix.

      -
      -
      -
      -
      -

      Returns

      -
      -
      nes.Nes

      Weight matrix.

      -
      -
      -
      -
      -

      Spatial join

      -
      -
      -nes.methods.spatial_join.get_bbox(self)[source]
      -

      Obtain the bounding box of the rank data (lon_min, lat_min, lon_max, lat_max).

      -
      -

      Parameters

      -
      -
      selfnes.Nes

      Nes Object.

      -
      -
      -
      -
      -

      Returns

      -
      -
      tuple

      Bounding box

      -
      -
      -
      -
      - -
      -
      -nes.methods.spatial_join.prepare_external_shapefile(self, ext_shp, var_list, info=False, apply_bbox=True)[source]
      -

      Prepare the external shapefile.

      -

      It is high recommended to pass ext_shp parameter as string because it will clip the external shapefile to the rank.

      -
        -

      1. Read if it is not already read

        2. -

      2. Filter variables list

        3. -

      3. Standardize projections

        4. -
      -
      -

      Parameters

      -
      -
      selfnes.Nes

      Nes Object.

      -
      -
      ext_shpGeoDataFrame or str

      External shapefile or path to it.

      -
      -
      var_listList[str] or None

      External shapefile variables to be computed.

      -
      -
      infobool

      Indicates if you want to print the information.

      -
      -
      apply_bboxbool

      Indicates if you want to reduce the shapefile to a bbox.

      -
      -
      -
      -
      -

      Returns

      -
      -
      GeoDataFrame

      External shapefile.

      -
      -
      -
      -
      -
      nes.methods.spatial_join.spatial_join(self, ext_shp, method=None, var_list=None, info=False, apply_bbox=True)[source]

      Compute overlay intersection of two GeoPandasDataFrames.

      -
      -

      Parameters

      +
      +

      Parameters

      -
      selfnes.Nes

      Nes Object.

      +
      selfnes.Nes

      A Nes Object.

      ext_shpGeoPandasDataFrame or str

      File or path from where the data will be obtained on the intersection.

      -
      methodstr

      Overlay method. Accepted values: [‘nearest’, ‘intersection’, ‘centroid’].

      +
      methodstr

      Overlay method. Accepted values: [“nearest”, “intersection”, “centroid”].

      var_listList or None or str

      Variables that will be included in the resulting shapefile.

      @@ -579,57 +213,6 @@ between two points (i.e. 1 deg. of longitude varies with latitude).

      -
      -
      -nes.methods.spatial_join.spatial_join_centroid(self, ext_shp, info=False)[source]
      -

      Perform the spatial join using the centroid method.

      -
      -

      Parameters

      -
      -
      selfnes.Nes

      Nes Object.

      -
      -
      ext_shpGeoDataFrame

      External shapefile.

      -
      -
      infobool

      Indicates if you want to print the information.

      -
      -
      -
      -
      - -
      -
      -nes.methods.spatial_join.spatial_join_intersection(self, ext_shp, info=False)[source]
      -

      Perform the spatial join using the intersection method.

      -
      -

      Parameters

      -
      -
      selfnes.Nes

      Nes Object.

      -
      -
      ext_shpGeoDataFrame

      External shapefile.

      -
      -
      infobool

      Indicates if you want to print the information.

      -
      -
      -
      -
      - -
      -
      -nes.methods.spatial_join.spatial_join_nearest(self, ext_shp, info=False)[source]
      -

      Perform the spatial join using the nearest method.

      -
      -

      Parameters

      -
      -
      selfnes.Nes

      Nes Object.

      -
      -
      ext_shpGeoDataFrame

      External shapefile.

      -
      -
      infobool

      Indicates if you want to print the information.

      -
      -
      -
      -
      -

      Vertical interpolation

      @@ -637,8 +220,8 @@ between two points (i.e. 1 deg. of longitude varies with latitude).

      nes.methods.vertical_interpolation.add_4d_vertical_info(self, info_to_add)[source]

      To add the vertical information from other source.

      -
      -

      Parameters

      +
      +

      Parameters

      selfnes.Nes

      Source Nes object.

      @@ -651,21 +234,62 @@ the vertical data.

      -nes.methods.vertical_interpolation.interpolate_vertical(self, new_levels, new_src_vertical=None, kind='linear', extrapolate=None, info=None, overwrite=False)[source]
      +nes.methods.vertical_interpolation.interpolate_vertical(self, new_levels, new_src_vertical=None, kind='linear', extrapolate_options=False, info=None, overwrite=False)[source]

      Vertical interpolation.

      -
      -

      Parameters

      +
      +

      Parameters

      selfNes

      Source Nes object.

      -
      new_levelsList

      List of new vertical levels.

      +
      new_levelsList

      A List of new vertical levels.

      new_src_verticalnes.Nes, str

      Nes object with the vertical information as variable or str with the path to the NetCDF file that contains the vertical data.

      kindstr

      Vertical methods type.

      -
      extrapolateNone, tuple, str

      Extrapolate method (for non linear operations).

      +
      extrapolate_optionsbool or tuple or None or number or NaN
      +
      If bool:
        +

      • If True, both extrapolation options are set to “extrapolate”.

        • +

      • If False, extrapolation options are set to (“bottom”, “top”).

        • +
      +
      +
      If tuple:
        +

      • The first element represents the extrapolation option for the lower bound.

        • +

      • The second element represents the extrapolation option for the upper bound.

        • +
      • +
        If any element is bool:
          +

        • If True, it represents “extrapolate”.

          • +
        • +
          If False:
            +

          • If it”s the first element, it represents “bottom”.

            • +

          • If it”s the second element, it represents “top”.

            • +
          +
          +
          +
          • +
        +
        +
        +
        • +

      • If any element is None, it is replaced with numpy.nan.

        • +

      • Other numeric values are kept as they are.

        • +

      • If any element is NaN, it is kept as NaN.

        • +
      +
      +
      If None:
        +

      • Both extrapolation options are set to (NaN, NaN).

        • +
      +
      +
      If number:
        +

      • Both extrapolation options are set to the provided number.

        • +
      +
      +
      If NaN:
        +

      • Both extrapolation options are set to NaN.

        • +
      +
      +
      info: None, bool

      Indicates if you want to print extra information.

      diff --git a/docs/build/html/object.html b/docs/build/html/object.html index 19f34d85e6e471677be4be0d7b8fa730ed4eac5d..959ae93aced76aacba29df85a85223bd607bf5a1 100644 --- a/docs/build/html/object.html +++ b/docs/build/html/object.html @@ -102,26 +102,70 @@

      Parameters

      -
      comm: MPI.Communicator

      MPI Communicator.

      +
      commMPI.Comm, optional

      MPI Communicator. If None, uses MPI.COMM_WORLD.

      -
      info: bool

      Indicates if you want to get reading/writing info.

      +
      infobool, optional

      Indicates if reading/writing info should be provided. Default is False.

      -
      parallel_methodstr

      Indicates the parallelization method that you want. Default: ‘Y’. -accepted values: [‘X’, ‘Y’, ‘T’].

      +
      projectionstr, optional

      The projection type. Accepted values are None, “regular”, “global”, “rotated”, “rotated-nested”, “lcc”, +“mercator”.

      -
      balancedbool

      Indicates if you want a balanced parallelization or not. -Balanced dataset cannot be written in chunking mode.

      +
      parallel_methodstr, optional

      The parallelization method to use. Default is “Y”. Accepted values are [“X”, “Y”, “T”].

      -
      avoid_first_hoursint

      Number of hours to remove from first time steps.

      +
      balancedbool, optional

      Indicates if balanced parallelization is desired. Balanced datasets cannot be written in chunking mode. +Default is False.

      -
      avoid_last_hoursint

      Number of hours to remove from last time steps.

      +
      timeslist of datetime, optional

      List of datetime objects representing the time dimension. If None, a default time array is created.

      -
      first_levelint

      Index of the first level to use.

      +
      avoid_first_hoursint, optional

      Number of hours to remove from the start of the time steps. Default is 0.

      -
      last_levelint, None

      Index of the last level to use. None if it is the last.

      +
      avoid_last_hoursint, optional

      Number of hours to remove from the end of the time steps. Default is 0.

      +
      +
      first_levelint, optional

      Index of the first level to use. Default is 0.

      +
      +
      last_levelint or None, optional

      Index of the last level to use. If None, the last level is used. Default is None.

      +
      +
      **kwargsadditional arguments

      Additional parameters required for specific projections.

      +
      +

      Returns

      +
      +
      nesNes

      An instance of the Nes class based on the specified parameters and projection.

      +
      +
      +
      +
      +

      Raises

      +
      +
      ValueError

      If any required projection-specific parameters are missing or if invalid parameters are provided.

      +
      +
      NotImplementedError

      If an unsupported parallel method or projection type is specified.

      +
      +
      +
      +
      +

      Notes

      +

      The function dynamically creates an instance of a specific Nes subclass based on the provided projection. +The required parameters for each projection type are:

      +
      +
        +

      • None: [“lat”, “lon”]

        • +

      • “regular”: [“lat_orig”, “lon_orig”, “inc_lat”, “inc_lon”, “n_lat”, “n_lon”]

        • +

      • “global”: [“inc_lat”, “inc_lon”]

        • +

      • “rotated”: [“centre_lat”, “centre_lon”, “west_boundary”, “south_boundary”, “inc_rlat”, “inc_rlon”]

        • +

      • “rotated-nested”: [“parent_grid_path”, “parent_ratio”, “i_parent_start”, “j_parent_start”, “n_rlat”, “n_rlon”]

        • +

      • “lcc”: [“lat_1”, “lat_2”, “lon_0”, “lat_0”, “nx”, “ny”, “inc_x”, “inc_y”, “x_0”, “y_0”]

        • +

      • “mercator”: [“lat_ts”, “lon_0”, “nx”, “ny”, “inc_x”, “inc_y”, “x_0”, “y_0”]

        • +
      +
      +
      +
      +

      Example

      +
      >>> nes = create_nes(projection="regular", lat_orig=0, lon_orig=0, inc_lat=1, inc_lon=1, n_lat=180, n_lon=360)
+
      +
      +
      @@ -133,15 +177,15 @@ Balanced dataset cannot be written in chunking mode.

    • Create shapefile for grid.

    • Spatial join to add shapefile variables to NES variables.

      • -
      -

      Parameters

      +
      +

      Parameters

      pathstr

      Path to shapefile.

      -
      methodstr

      Overlay method. Accepted values: [‘nearest’, ‘intersection’, None].

      +
      methodstr

      Overlay method. Accepted values: [“nearest”, “intersection”, None].

      -
      parallel_methodstr

      Indicates the parallelization method that you want. Default: ‘Y’. -accepted values: [‘X’, ‘Y’, ‘T’].

      +
      parallel_methodstr

      Indicates the parallelization method that you want. Default: “Y”. +accepted values: [“X”, “Y”, “T”].

      @@ -154,19 +198,35 @@ accepted values: [‘X’, ‘Y’, ‘T’].

      nes.load_nes.concatenate_netcdfs(nessy_list, comm=None, info=False, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, balanced=False)[source]

      Concatenate variables form different sources.

      -
      -

      Parameters

      +
      +

      Parameters

      -
      nessy_listlist

      List of Nes objects or list of paths to concatenate.

      +
      nessy_listlist

      A List of Nes objects or list of paths to concatenate.

      +
      +
      commMPI.Comm

      MPI Communicator.

      +
      +
      info: bool

      Indicates if you want to get reading/writing info.

      +
      +
      parallel_methodstr

      Indicates the parallelization method that you want. Default: “Y”. +accepted values: [“X”, “Y”, “T”].

      +
      +
      balancedbool

      Indicates if you want a balanced parallelization or not. +Balanced dataset cannot be written in chunking mode.

      -
      commMPI.Communicator

      MPI Communicator.

      +
      avoid_first_hoursint

      Number of hours to remove from first time steps.

      +
      +
      avoid_last_hoursint

      Number of hours to remove from last time steps.

      +
      +
      first_levelint

      Index of the first level to use.

      +
      +
      last_levelint, None

      Index of the last level to use. None if it is the last.

      -
      -

      Returns

      +
      +

      Returns

      -
      Nes

      Nes object with all the variables.

      +
      Nes

      A Nes object with all the variables.

      @@ -174,25 +234,23 @@ accepted values: [‘X’, ‘Y’, ‘T’].

      -nes.load_nes.open_netcdf(path, comm=None, xarray=False, info=False, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, balanced=False)[source]
      +nes.load_nes.open_netcdf(path, comm=None, info=False, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, balanced=False)[source]

      Open a netCDF file.

      -
      -

      Parameters

      +
      +

      Parameters

      pathstr

      Path to the NetCDF file to read.

      commMPI.COMM

      MPI communicator to use in that netCDF. Default: MPI.COMM_WORLD.

      -
      xarraybool

      (Not working) Indicates if you want to use xarray. Default: False.

      -
      infobool

      Indicates if you want to print (stdout) the reading/writing steps.

      avoid_first_hoursint

      Number of hours to remove from first time steps.

      avoid_last_hoursint

      Number of hours to remove from last time steps.

      -
      parallel_methodstr

      Indicates the parallelization method that you want. Default: ‘Y’. -Accepted values: [‘X’, ‘Y’, ‘T’]

      +
      parallel_methodstr

      Indicates the parallelization method that you want. Default: “Y”. +Accepted values: [“X”, “Y”, “T”]

      balancedbool

      Indicates if you want a balanced parallelization or not. Balanced dataset cannot be written in chunking mode.

      @@ -202,10 +260,10 @@ Accepted values: [‘X’, ‘Y’, ‘T’]

      -
      -

      Returns

      +
      +

      Returns

      -
      Nes

      Nes object. Variables read in lazy mode (only metadata).

      +
      Nes

      A Nes object. Variables read in lazy mode (only metadata).

      diff --git a/docs/build/html/objects.inv b/docs/build/html/objects.inv index 0d6816cde833bb79240f0dbfbc17e0d3cee66562..aeba5bc4af9c102015b26449b12f2530ba381493 100644 Binary files a/docs/build/html/objects.inv and b/docs/build/html/objects.inv differ diff --git a/docs/build/html/projections.html b/docs/build/html/projections.html index 11ba9c3c4e8b11130b1fd08a7a5e3208dd4830fa..00deb75177b4f9017dec46a3635def94a41ab1aa 100644 --- a/docs/build/html/projections.html +++ b/docs/build/html/projections.html @@ -61,30 +61,27 @@
    • Nes.close()
    • Nes.concatenate()
    • Nes.copy()
      • +
    • Nes.create_providentia_exp_centre_coordinates()
      • +
    • Nes.create_providentia_exp_grid_edge_coordinates()
    • Nes.create_shapefile()
      • -
    • Nes.create_single_spatial_bounds()
    • Nes.create_spatial_bounds()
    • Nes.daily_statistic()
      • -
    • Nes.filter_coordinates_selection()
    • Nes.find_time_id()
    • Nes.free_vars()
    • Nes.get_centroids_from_coordinates()
    • Nes.get_climatology()
      • -
    • Nes.get_coordinate_id()
    • Nes.get_earth_radius()
    • Nes.get_fids()
      • +
    • Nes.get_full_latitudes()
      • +
    • Nes.get_full_latitudes_boundaries()
    • Nes.get_full_levels()
      • +
    • Nes.get_full_longitudes()
      • +
    • Nes.get_full_longitudes_boundaries()
      • +
    • Nes.get_full_shape()
      • +
    • Nes.get_full_time_bnds()
    • Nes.get_full_times()
      • -
    • Nes.get_idx_intervals()
      • -
    • Nes.get_read_axis_limits()
      • -
    • Nes.get_read_axis_limits_balanced()
      • -
    • Nes.get_read_axis_limits_unbalanced()
    • Nes.get_spatial_bounds_mesh_format()
      • -
    • Nes.get_time_id()
      • -
    • Nes.get_time_interval()
      • -
    • Nes.get_write_axis_limits()
      • -
    • Nes.get_write_axis_limits_balanced()
      • -
    • Nes.get_write_axis_limits_unbalanced()
      • +
    • Nes.get_time_interval
    • Nes.interpolate_horizontal()
    • Nes.interpolate_vertical()
    • Nes.keep_vars()
      • @@ -92,13 +89,19 @@
    • Nes.load()
    • Nes.lon_lat_to_cartesian_ecef()
    • Nes.new()
      • -
    • Nes.open()
    • Nes.reverse_level_direction()
    • Nes.rolling_mean()
    • Nes.sel()
    • Nes.sel_time()
    • Nes.set_climatology()
    • Nes.set_communicator()
      • +
    • Nes.set_full_latitudes()
      • +
    • Nes.set_full_latitudes_boundaries()
      • +
    • Nes.set_full_levels()
      • +
    • Nes.set_full_longitudes()
      • +
    • Nes.set_full_longitudes_boundaries()
      • +
    • Nes.set_full_time_bnds()
      • +
    • Nes.set_full_times()
    • Nes.set_level_direction()
    • Nes.set_levels()
    • Nes.set_strlen()
      • @@ -106,7 +109,6 @@
    • Nes.set_time_bnds()
    • Nes.set_time_resolution()
    • Nes.spatial_join()
      • -
    • Nes.str2char()
    • Nes.sum_axis()
    • Nes.to_dtype()
    • Nes.to_grib2()
      • @@ -133,9 +135,12 @@
    • LCCNes.create_providentia_exp_grid_edge_coordinates()
    • LCCNes.create_shapefile()
    • LCCNes.create_spatial_bounds()
      • -
    • LCCNes.filter_coordinates_selection()
    • LCCNes.get_centroids_from_coordinates()
      • +
    • LCCNes.get_full_x()
      • +
    • LCCNes.get_full_y()
    • LCCNes.new()
      • +
    • LCCNes.set_full_x()
      • +
    • LCCNes.set_full_y()
    • LCCNes.to_grib2()
    • @@ -147,9 +152,12 @@
  • MercatorNes.create_providentia_exp_grid_edge_coordinates()
  • MercatorNes.create_shapefile()
  • MercatorNes.create_spatial_bounds()
    • -
  • MercatorNes.filter_coordinates_selection()
  • MercatorNes.get_centroids_from_coordinates()
    • +
  • MercatorNes.get_full_x()
    • +
  • MercatorNes.get_full_y()
  • MercatorNes.new()
    • +
  • MercatorNes.set_full_x()
    • +
  • MercatorNes.set_full_y()
  • MercatorNes.to_grib2()
    • @@ -195,10 +203,13 @@
  • RotatedNes.create_providentia_exp_grid_edge_coordinates()
  • RotatedNes.create_shapefile()
  • RotatedNes.create_spatial_bounds()
    • -
  • RotatedNes.filter_coordinates_selection()
  • RotatedNes.get_centroids_from_coordinates()
    • +
  • RotatedNes.get_full_rlat()
    • +
  • RotatedNes.get_full_rlon()
  • RotatedNes.new()
  • RotatedNes.rotated2latlon()
    • +
  • RotatedNes.set_full_rlat()
    • +
  • RotatedNes.set_full_rlon()
  • RotatedNes.to_grib2()
    • @@ -245,12 +256,13 @@

    Default projection

    -class nes.nc_projections.default_nes.Nes(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]
    +class nes.nc_projections.default_nes.Nes(comm: Comm | None = None, path: str | None = None, info: bool = False, dataset: Dataset | None = None, parallel_method: str = 'Y', avoid_first_hours: int = 0, avoid_last_hours: int = 0, first_level: int = 0, last_level: int | None = None, create_nes: bool = False, balanced: bool = False, times: List[datetime] | None = None, **kwargs)[source]

    Bases: object

    +

    A class to handle netCDF data with parallel processing capabilities using MPI.

    Attributes

    -
    -
    commMPI.Communicator.

    MPI communicator.

    +
    +
    commMPI.Comm

    MPI communicator.

    rankint

    MPI rank.

    @@ -260,59 +272,171 @@
    infobool

    Indicates if you want to print reading/writing info.

    -
    is_xarraybool

    (Not working) Indicates if you want to use xarray as default.

    -
    __ini_pathstr

    Path to the original file to read when open_netcdf is called.

    hours_startint

    Number of hours to avoid from the first original values.

    hours_endint

    Number of hours to avoid from the last original values.

    -
    datasetxr.Dataset

    (not working) xArray Dataset.

    -
    -
    netcdfDataset

    netcdf4-python Dataset.

    -
    -
    variablesdict

    Variables information. -The variables are stored in a dictionary with the var_name as key and another dictionary with the information. -The information dictionary contains the ‘data’ key with None (if the variable is not loaded) or the array values -and the other keys are the variable attributes or description.

    -
    -
    _timeList

    Complete list of original time step values.

    -
    -
    _levdict

    Vertical level dictionary with the complete ‘data’ key for all the values and the rest of the attributes.

    -
    -
    _latdict

    Latitudes dictionary with the complete ‘data’ key for all the values and the rest of the attributes.

    -
    -
    _lon _ dict

    Longitudes dictionary with the complete ‘data’ key for all the values and the rest of the attributes.

    -
    -
    parallel_methodstr

    Parallel method to read/write. -Can be chosen any of the following axis to parallelize: ‘T’, ‘Y’ or ‘X’.

    -
    -
    read_axis_limitsdict

    Dictionary with the 4D limits of the rank data to read. -t_min, t_max, z_min, z_max, y_min, y_max, x_min and x_max.

    -
    -
    write_axis_limitsdict

    Dictionary with the 4D limits of the rank data to write. -t_min, t_max, z_min, z_max, y_min, y_max, x_min and x_max.

    +
    datasetDataset

    netcdf4-python Dataset.

    +
    +
    variablesDict[str, Dict[str, Any]]

    Variables information. The dictionary structure is: +{

    +
    +
    +
    var_name: {

    “data”: ndarray or None, # Array values or None if the variable is not loaded. +attr_name: attr_value, # Variable attributes. +…

    +
    +
    +
    +

    }

    +
    +
    _full_timeList[datetime]

    Complete list of original time step values.

    +
    +
    _full_levDict[str, array]

    Vertical level dictionary with the complete “data” key for all the values and the rest of the attributes. +{

    +
    +

    “data”: ndarray, # Array of vertical level values. +attr_name: attr_value, # Vertical level attributes. +…

    +
    +

    }

    +
    +
    _full_latdict

    Latitudes dictionary with the complete “data” key for all the values and the rest of the attributes. +{

    +
    +

    “data”: ndarray, # Array of latitude values. +attr_name: attr_value, # Latitude attributes. +…

    +
    +

    }

    +
    +
    _full_londict

    Longitudes dictionary with the complete “data” key for all the values and the rest of the attributes. +{

    +
    +

    “data”: ndarray, # Array of longitude values. +attr_name: attr_value, # Longitude attributes. +…

    +
    +

    }

    +
    +
    _full_lat_bndsdict

    Latitude bounds dictionary with the complete “data” key for the latitudinal boundaries of each grid and the +rest of the attributes. +{

    +
    +

    “data”: ndarray, # Array of latitude bounds. +attr_name: attr_value, # Latitude bounds attributes. +…

    +
    +

    }

    +
    +
    _full_lon_bndsdict

    Longitude bounds dictionary with the complete “data” key for the longitudinal boundaries of each grid and the +rest of the attributes. +{

    +
    +

    “data”: ndarray, # Array of longitude bounds. +attr_name: attr_value, # Longitude bounds attributes. +…

    +
    +

    }

    +
    +
    parallel_methodstr

    Parallel method to read/write. Can be chosen from any of the following axes to parallelize: “T”, “Y”, or “X”.

    +
    +
    read_axis_limitsdict

    Dictionary with the 4D limits of the rank data to read. Structure: +{

    +
    +

    “t_min”: int, “t_max”: int, # Time axis limits. +“z_min”: int, “z_max”: int, # Vertical axis limits. +“y_min”: int, “y_max”: int, # Latitudinal axis limits. +“x_min”: int, “x_max”: int, # Longitudinal axis limits.

    +
    +

    }

    +
    +
    write_axis_limitsdict

    Dictionary with the 4D limits of the rank data to write. Structure: +{

    +
    +

    “t_min”: int, “t_max”: int, # Time axis limits. +“z_min”: int, “z_max”: int, # Vertical axis limits. +“y_min”: int, “y_max”: int, # Latitudinal axis limits. +“x_min”: int, “x_max”: int, # Longitudinal axis limits.

    +
    +

    }

    timeList[datetime]

    List of time steps of the rank data.

    -
    levdict

    Vertical levels dictionary with the portion of ‘data’ corresponding to the rank values.

    -
    -
    latdict

    Latitudes dictionary with the portion of ‘data’ corresponding to the rank values.

    -
    -
    londict

    Longitudes dictionary with the portion of ‘data’ corresponding to the rank values.

    -
    -
    global_attrsdict

    Global attributes with the attribute name as key and data as values.

    -
    -
    _var_dimNone or tuple

    Name of the Y and X dimensions for the variables.

    -
    -
    _lat_dimNone or tuple

    Name of the dimensions of the Latitude values.

    -
    -
    _lon_dimNone or tuple

    Name of the dimensions of the Longitude values.

    -
    -
    projectionpyproj.Proj

    Grid projection.

    -
    -
    projection_datadict

    Dictionary with the projection information.

    +
    levdict

    Vertical levels dictionary with the portion of “data” corresponding to the rank values. Structure: +{

    +
    +

    “data”: ndarray, # Array of vertical level values for the rank. +attr_name: attr_value, # Vertical level attributes. +…

    +
    +

    }

    +
    +
    latdict

    Latitudes dictionary with the portion of “data” corresponding to the rank values. Structure: +{

    +
    +

    “data”: ndarray, # Array of latitude values for the rank. +attr_name: attr_value, # Latitude attributes. +…

    +
    +

    }

    +
    +
    londict

    Longitudes dictionary with the portion of “data” corresponding to the rank values. Structure: +{

    +
    +

    “data”: ndarray, # Array of longitude values for the rank. +attr_name: attr_value, # Longitude attributes. +…

    +
    +

    }

    +
    +
    lat_bndsdict

    Latitude bounds dictionary with the portion of “data” for the latitudinal boundaries corresponding to the rank +values. +Structure: +{

    +
    +

    “data”: ndarray, # Array of latitude bounds for the rank. +attr_name: attr_value, # Latitude bounds attributes. +…

    +
    +

    }

    +
    +
    lon_bndsdict

    Longitude bounds dictionary with the portion of “data” for the longitudinal boundaries corresponding to the +rank values. +Structure: +{

    +
    +

    “data”: ndarray, # Array of longitude bounds for the rank. +attr_name: attr_value, # Longitude bounds attributes. +…

    +
    +

    }

    +
    +
    global_attrsdict

    Global attributes with the attribute name as key and data as values. Structure: +{

    +
    +

    attr_name: attr_value, # Global attribute name and value. +…

    +
    +

    }

    +
    +
    _var_dimtuple

    Name of the Y and X dimensions for the variables.

    +
    +
    _lat_dimtuple

    Name of the dimensions of the Latitude values.

    +
    +
    _lon_dimtuple

    Name of the dimensions of the Longitude values.

    +
    +
    projectionProj

    Grid projection.

    +
    +
    projection_datadict

    Dictionary with the projection information. Structure: +{

    +
    +

    proj_param: proj_value, # Projection parameters. +…

    +
    +

    }

    @@ -365,7 +489,7 @@ the vertical data.

    Parameters

    -
    geometry_listList

    List with polygon geometries.

    +
    geometry_listList

    A List with polygon geometries.

    earth_radius_minor_axisfloat

    Radius of the minor axis of the Earth.

    @@ -416,7 +540,7 @@ the vertical data.

    Returns

    -
    list

    List of var names added.

    +
    list

    A List of var names added.

    @@ -424,7 +548,7 @@ the vertical data.

    -copy(copy_vars=False)[source]
    +copy(copy_vars: bool = False)[source]

    Copy the Nes object. The copy will avoid to copy the communicator, dataset and variables by default.

    @@ -444,39 +568,43 @@ The copy will avoid to copy the communicator, dataset and variables by default.<
    -
    -create_shapefile()[source]
    -

    Create spatial geodataframe (shapefile).

    +
    +create_providentia_exp_centre_coordinates()[source]
    +

    Calculate centre latitudes and longitudes from original coordinates and store as 2D arrays.

    Returns

    -
    shapefileGeoPandasDataFrame

    Shapefile dataframe.

    +
    model_centre_latdict

    Dictionary with data of centre coordinates for latitude in 2D (latitude, longitude).

    +
    +
    model_centre_londict

    Dictionary with data of centre coordinates for longitude in 2D (latitude, longitude).

    -
    -static create_single_spatial_bounds(coordinates, inc, spatial_nv=2, inverse=False)[source]
    -

    Calculate the vertices coordinates.

    +
    +create_providentia_exp_grid_edge_coordinates()[source]
    +

    Calculate grid edge latitudes and longitudes and get model grid outline.

    -

    Parameters

    +

    Returns

    -
    coordinatesnp.array

    Coordinates in degrees (latitude or longitude).

    -
    -
    incfloat

    Increment between centre values.

    -
    -
    spatial_nvint

    Non-mandatory parameter that informs the number of vertices that the boundaries must have. Default: 2.

    +
    grid_edge_latdict

    Dictionary with data of grid edge latitudes.

    -
    inversebool

    For some grid latitudes.

    +
    grid_edge_londict

    Dictionary with data of grid edge longitudes.

    +
    + +
    +
    +create_shapefile()[source]
    +

    Create spatial GeoDataFrame (shapefile).

    Returns

    -
    boundsnp.array

    Array with as many elements as vertices for each value of coords.

    +
    shapefileGeoPandasDataFrame

    Shapefile dataframe.

    @@ -494,24 +622,23 @@ The copy will avoid to copy the communicator, dataset and variables by default.<

    Calculate daily statistic.

    Parameters

    -
    +
    opstr

    Statistic to perform. Accepted values: “max”, “mean” and “min”.

    type_opstr

    Type of statistic to perform. Accepted values: “calendar”, “alltsteps”, and “withoutt0”. -- “calendar”: Calculate the statistic using the time metadata. It will avoid single time step by day calculations -- “alltsteps”: Calculate a single time statistic with all the time steps. -- “withoutt0”: Calculate a single time statistic with all the time steps avoiding the first one.

    +- “calendar”: Calculate the statistic using the time metadata. It will avoid single time step by day

    +
    +

    calculations

    +
    +
      +

    • “alltsteps”: Calculate a single time statistic with all the time steps.

      • +

    • “withoutt0”: Calculate a single time statistic with all the time steps avoiding the first one.

      • +
    -
    -
    -filter_coordinates_selection()[source]
    -

    Use the selection limits to filter time, lev, lat, lon, lon_bnds and lat_bnds.

    -
    -
    find_time_id(time)[source]
    @@ -519,7 +646,7 @@ The copy will avoid to copy the communicator, dataset and variables by default.<

    Parameters

    -
    timedatetime.datetime

    Time element.

    +
    timedatetime

    Time element.

    @@ -561,28 +688,11 @@ The copy will avoid to copy the communicator, dataset and variables by default.<
    get_climatology()[source]
    -
    - -
    -
    -static get_coordinate_id(array, value, axis=0)[source]
    -

    Get the index of the corresponding coordinate value.

    +

    Get whether the dataset represents climatological data.

    -

    Parameters

    +

    Returns

    -
    arraynp.array

    Array with the coordinate data

    -
    -
    valuefloat

    Coordinate value to search.

    -
    -
    axisint

    Axis where find the value -Default: 0.

    -
    -
    -
    -
    -

    Returns

    -
    -
    int

    Index of the coordinate array.

    +
    bool

    True if the dataset represents climatological data, False otherwise.

    @@ -592,8 +702,8 @@ Default: 0.

    static get_earth_radius(ellps)[source]

    Get minor and major axis of Earth.

    -
    -

    Parameters

    +
    +

    Parameters

    ellpsstr

    Spatial reference system.

    @@ -603,171 +713,192 @@ Default: 0.

    -get_fids()[source]
    +get_fids(use_read=False)[source]

    Obtain the FIDs in a 2D format.

    +
    +

    Parameters

    +
    +
    use_readbool

    Indicate if you want to use the read_axis_limits

    +
    +
    +

    Returns

    -
    np.array

    2D array with the FID data.

    +
    array

    2D array with the FID data.

    -
    -get_full_levels()[source]
    -
    - -
    -
    -get_full_times()[source]
    -
    - -
    -
    -get_idx_intervals()[source]
    -

    Calculate the index intervals

    +
    +get_full_latitudes() → Dict[str, Any][source]
    +

    Retrieve the complete latitude information.

    Returns

    -
    -
    dict

    Dictionary with the index intervals

    +
    +
    Dict[str, Any]

    A dictionary containing the complete latitude data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of latitude values. +attr_name: attr_value, # Latitude attributes. +…

    +
    +

    }

    -
    -get_read_axis_limits()[source]
    -

    Calculate the 4D reading axis limits depending on if them have to balanced or not.

    +
    +get_full_latitudes_boundaries() → Dict[str, Any][source]
    +

    Retrieve the complete latitude boundaries information.

    Returns

    -
    -
    dict

    Dictionary with the 4D limits of the rank data to read. -t_min, t_max, z_min, z_max, y_min, y_max, x_min and x_max.

    +
    +
    Dict[str, Any]

    A dictionary containing the complete latitude boundaries data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of latitude boundaries values. +attr_name: attr_value, # Latitude boundaries attributes. +…

    +
    +

    }

    -
    -get_read_axis_limits_balanced()[source]
    -

    Calculate the 4D reading balanced axis limits.

    +
    +get_full_levels() → Dict[str, Any][source]
    +

    Retrieve the complete vertical level information.

    Returns

    -
    -
    dict

    Dictionary with the 4D limits of the rank data to read. -t_min, t_max, z_min, z_max, y_min, y_max, x_min and x_max.

    +
    +
    Dict[str, Any]

    A dictionary containing the complete vertical level data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of vertical level values. +attr_name: attr_value, # Vertical level attributes. +…

    +
    +

    }

    -
    -get_read_axis_limits_unbalanced()[source]
    -

    Calculate the 4D reading axis limits.

    +
    +get_full_longitudes() → Dict[str, Any][source]
    +

    Retrieve the complete longitude information.

    Returns

    -
    -
    dict

    Dictionary with the 4D limits of the rank data to read. -t_min, t_max, z_min, z_max, y_min, y_max, x_min and x_max.

    +
    +
    Dict[str, Any]

    A dictionary containing the complete longitude data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of longitude values. +attr_name: attr_value, # Longitude attributes. +…

    +
    +

    }

    -
    -get_spatial_bounds_mesh_format()[source]
    -

    Get the spatial bounds in the pcolormesh format:

    -

    see: https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.pcolormesh.html

    +
    +get_full_longitudes_boundaries() → Dict[str, Any][source]
    +

    Retrieve the complete longitude boundaries information.

    Returns

    -
    -
    lon_bnds_meshnumpy.ndarray

    Longitude boundaries in the mesh format

    -
    -
    lat_bnds_meshnumpy.ndarray

    Latitude boundaries in the mesh format

    +
    +
    Dict[str, Any]

    A dictionary containing the complete longitude boundaries data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of longitude boundaries values. +attr_name: attr_value, # Longitude boundaries attributes. +…

    +
    +

    }

    -
    -get_time_id(hours, first=True)[source]
    -

    Get the index of the corresponding time value.

    +
    +get_full_shape()[source]
    +

    Obtain the Full 2D shape of tha data

    -

    Parameters

    +

    Returns

    -
    hoursint

    Number of hours to avoid.

    -
    -
    firstbool

    Indicates if you want to avoid from the first hours (True) or from the last (False). -Default: True.

    +
    tuple

    2D shape of tha data.

    +
    + +
    +
    +get_full_time_bnds() → List[datetime][source]
    +

    Retrieve the complete list of original time step boundaries.

    Returns

    -
    int

    Index of the time array.

    +
    List[datetime]

    The complete list of original time step boundary values from the netCDF data.

    -
    -get_time_interval()[source]
    -

    Calculate the interrval of hours between time steps.

    +
    +get_full_times() → List[datetime][source]
    +

    Retrieve the complete list of original time step values.

    Returns

    -
    int

    Number of hours between time steps.

    +
    List[datetime]

    The complete list of original time step values from the netCDF data.

    -
    -get_write_axis_limits()[source]
    -

    Calculate the 4D writing axis limits depending on if them have to balanced or not.

    +
    +get_spatial_bounds_mesh_format()[source]
    +

    Get the spatial bounds in the pcolormesh format:

    +

    see: https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.pcolormesh.html

    Returns

    -
    dict

    Dictionary with the 4D limits of the rank data to write. -t_min, t_max, z_min, z_max, y_min, y_max, x_min and x_max.

    +
    lon_bnds_meshnumpy.ndarray

    Longitude boundaries in the mesh format

    +
    +
    lat_bnds_meshnumpy.ndarray

    Latitude boundaries in the mesh format

    -
    -
    -get_write_axis_limits_balanced()[source]
    -

    Calculate the 4D reading balanced axis limits.

    +
    +
    +property get_time_interval
    +

    Calculate the interrval of hours between time steps.

    Returns

    -
    dict

    Dictionary with the 4D limits of the rank data to read. -t_min, t_max, z_min, z_max, y_min, y_max, x_min and x_max.

    -
    -
    -
    -
    - -
    -
    -get_write_axis_limits_unbalanced()[source]
    -

    Calculate the 4D writing axis limits.

    -
    -

    Returns

    -
    -
    dict

    Dictionary with the 4D limits of the rank data to write. -t_min, t_max, z_min, z_max, y_min, y_max, x_min and x_max.

    +
    int

    Number of hours between time steps.

    @@ -777,14 +908,14 @@ t_min, t_max, z_min, z_max, y_min, y_max, x_min and x_max.

    interpolate_horizontal(dst_grid, weight_matrix_path=None, kind='NearestNeighbour', n_neighbours=4, info=False, to_providentia=False, only_create_wm=False, wm=None, flux=False)[source]

    Horizontal methods from the current grid to another one.

    -
    -

    Parameters

    +
    +

    Parameters

    dst_gridnes.Nes

    Final projection Nes object.

    weight_matrix_pathstr, None

    Path to the weight matrix to read/create.

    -
    kindstr

    Kind of horizontal methods. choices = [‘NearestNeighbour’, ‘Conservative’].

    +
    kindstr

    Kind of horizontal methods. choices = [“NearestNeighbour”, “Conservative”].

    n_neighbours: int

    Used if kind == NearestNeighbour. Number of nearest neighbours to interpolate. Default: 4.

    @@ -806,19 +937,60 @@ t_min, t_max, z_min, z_max, y_min, y_max, x_min and x_max.

    interpolate_vertical(new_levels, new_src_vertical=None, kind='linear', extrapolate=None, info=None, overwrite=False)[source]

    Vertical interpolation function.

    -
    -

    Parameters

    +
    +

    Parameters

    selfNes

    Source Nes object.

    -
    new_levelsList

    New vertical levels.

    +
    new_levelsList

    A List of new vertical levels.

    new_src_verticalnes.Nes, str

    Nes object with the vertical information as variable or str with the path to the NetCDF file that contains the vertical data.

    kindstr

    Vertical methods type.

    -
    extrapolateNone, tuple, str

    Extrapolate method (for non linear operations).

    +
    extrapolatebool or tuple or None or number or NaN
    +
    If bool:
      +

    • If True, both extrapolation options are set to “extrapolate”.

      • +

    • If False, extrapolation options are set to (“bottom”, “top”).

      • +
    +
    +
    If tuple:
      +

    • The first element represents the extrapolation option for the lower bound.

      • +

    • The second element represents the extrapolation option for the upper bound.

      • +
    • +
      If any element is bool:
        +

      • If True, it represents “extrapolate”.

        • +
      • +
        If False:
          +

        • If it”s the first element, it represents “bottom”.

          • +

        • If it”s the second element, it represents “top”.

          • +
        +
        +
        +
        • +
      +
      +
      +
      • +

    • If any element is None, it is replaced with numpy.nan.

      • +

    • Other numeric values are kept as they are.

      • +

    • If any element is NaN, it is kept as NaN.

      • +
    +
    +
    If None:
      +

    • Both extrapolation options are set to (NaN, NaN).

      • +
    +
    +
    If number:
      +

    • Both extrapolation options are set to the provided number.

      • +
    +
    +
    If NaN:
      +

    • Both extrapolation options are set to NaN.

      • +
    +
    +
    info: None, bool

    Indicates if you want to print extra information.

    @@ -832,8 +1004,8 @@ the vertical data.

    keep_vars(var_list)[source]

    Keep the selected variables and erases the rest.

    -
    -

    Parameters

    +
    +

    Parameters

    var_listList or str

    List (or single string) of the variables to be loaded.

    @@ -851,9 +1023,9 @@ the vertical data.

    load(var_list=None)[source]

    Load of the selected variables.

    -

    That function will fill the variable ‘data’ key with the corresponding values.

    -
    -

    Parameters

    +

    That function will fill the variable “data” key with the corresponding values.

    +
    +

    Parameters

    var_listList, str, None

    List (or single string) of the variables to be loaded.

    @@ -866,19 +1038,19 @@ the vertical data.

    static lon_lat_to_cartesian_ecef(lon, lat)[source]

    # Convert observational/model geographic longitude/latitude coordinates to cartesian ECEF (Earth Centred, # Earth Fixed) coordinates, assuming WGS84 datum and ellipsoid, and that all heights = 0. -# ECEF coordiantes represent positions (in meters) as X, Y, Z coordinates, approximating the earth surface +# ECEF coordinates represent positions (in meters) as X, Y, Z coordinates, approximating the earth surface # as an ellipsoid of revolution. -# This conversion is for the subsequent calculation of euclidean distances of the model gridcell centres +# This conversion is for the subsequent calculation of Euclidean distances of the model grid cell centres # from each observational station. -# Defining the distance between two points on the earth’s surface as simply the euclidean distance +# Defining the distance between two points on the earth’s surface as simply the Euclidean distance # between the two lat/lon pairs could lead to inaccurate results depending on the distance # between two points (i.e. 1 deg. of longitude varies with latitude).

    -
    -

    Parameters

    +
    +

    Parameters

    -
    lonnp.array

    Longitude values.

    +
    lonarray

    Longitude values.

    -
    latnp.array

    Latitude values.

    +
    latarray

    Latitude values.

    @@ -886,10 +1058,10 @@ the vertical data.

    -static new(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]
    +static new(comm=None, path=None, info=False, dataset=None, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]

    Initialize the Nes class.

    -
    -

    Parameters

    +
    +

    Parameters

    comm: MPI.COMM

    MPI Communicator.

    @@ -899,10 +1071,8 @@ the vertical data.

    dataset: Dataset

    NetCDF4-python Dataset to initialize the class.

    -
    xarray: bool

    (Not working) Indicates if you want to use xarray as default.

    -
    parallel_methodstr

    Indicates the parallelization method that you want. Default over Y axis -accepted values: [‘X’, ‘Y’, ‘T’].

    +accepted values: [“X”, “Y”, “T”].

    avoid_first_hoursint

    Number of hours to remove from first time steps.

    @@ -923,16 +1093,18 @@ Balanced dataset cannot be written in chunking mode.

    -
    -
    -open()[source]
    -

    Open the NetCDF.

    -
    -
    reverse_level_direction()[source]
    -
    +

    Reverse the current direction of the vertical level values.

    +
    +

    Returns

    +
    +
    bool

    True if the direction was reversed successfully.

    +
    +
    +
    +
    @@ -950,7 +1122,7 @@ Balanced dataset cannot be written in chunking mode.

    Returns

    -
    Nes

    Nes object

    +
    Nes

    A Nes object

    @@ -959,26 +1131,67 @@ Balanced dataset cannot be written in chunking mode.

    sel(hours_start=None, time_min=None, hours_end=None, time_max=None, lev_min=None, lev_max=None, lat_min=None, lat_max=None, lon_min=None, lon_max=None)[source]
    -

    Select a slice of time, lev, lat or lon given a minimum and maximum limits.

    +

    Select a slice of time, vertical level, latitude, or longitude given minimum and maximum limits.

    +
    +

    Parameters

    +
    +
    hours_startint, optional

    The number of hours from the start to begin the selection.

    +
    +
    time_mindatetime, optional

    The minimum datetime for the time selection. Mutually exclusive with hours_start.

    +
    +
    hours_endint, optional

    The number of hours from the end to end the selection.

    +
    +
    time_maxdatetime, optional

    The maximum datetime for the time selection. Mutually exclusive with hours_end.

    +
    +
    lev_minint, optional

    The minimum vertical level index for the selection.

    +
    +
    lev_maxint, optional

    The maximum vertical level index for the selection.

    +
    +
    lat_minfloat, optional

    The minimum latitude for the selection.

    +
    +
    lat_maxfloat, optional

    The maximum latitude for the selection.

    +
    +
    lon_minfloat, optional

    The minimum longitude for the selection.

    +
    +
    lon_maxfloat, optional

    The maximum longitude for the selection.

    +
    +
    +
    +
    +

    Returns

    +

    None

    +
    +
    +

    Raises

    +
    +
    ValueError

    If any variables are already loaded or if mutually exclusive parameters are both provided.

    +
    +
    +
    +
    +

    Notes

    +

    This method updates the selection criteria for the dataset and recalculates the read and write axis limits +accordingly. It also updates the time, level, latitude, and longitude slices based on the new criteria.

    +
    -sel_time(time, copy=False)[source]
    +sel_time(time, inplace=True)[source]

    To select only one time step.

    -
    -

    Parameters

    +
    +

    Parameters

    -
    timedatetime.datetime

    Time stamp to select.

    +
    timedatetime

    Time stamp to select.

    -
    copybool

    Indicates if you want a copy with the selected time step (True) or to modify te existing one (False).

    +
    inplacebool

    Indicates if you want a copy with the selected time step (False) or to modify te existing one (True).

    -
    -

    Returns

    +
    +

    Returns

    -
    Nes

    Nes object with the data (and metadata) of the selected time step.

    +
    Nes

    A Nes object with the data (and metadata) of the selected time step.

    @@ -987,14 +1200,33 @@ Balanced dataset cannot be written in chunking mode.

    set_climatology(is_climatology)[source]
    -
    +

    Set whether the dataset represents climatological data.

    +
    +

    Parameters

    +
    +
    is_climatologybool

    A boolean indicating if the dataset represents climatological data.

    +
    +
    +
    +
    +

    Returns

    +

    None

    +
    +
    +

    Raises

    +
    +
    TypeError

    If is_climatology is not a boolean.

    +
    +
    +
    +
    set_communicator(comm)[source]

    Set a new communicator and the correspondent parallelization indexes.

    -
    -

    Parameters

    +
    +

    Parameters

    comm: MPI.COMM

    Communicator to be set.

    @@ -1002,17 +1234,170 @@ Balanced dataset cannot be written in chunking mode.

    -
    -
    -set_level_direction(new_direction)[source]
    -
    - +
    +
    +set_full_latitudes(data: Dict[str, Any]) → None[source]
    +

    Set the complete latitude information.

    +
    +

    Parameters

    +
    +
    dataDict[str, Any]

    A dictionary containing the complete latitude data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of latitude values. +attr_name: attr_value, # Latitude attributes. +…

    +
    +

    }

    +
    +
    +
    +
    + +
    +
    +set_full_latitudes_boundaries(data: Dict[str, Any]) → None[source]
    +

    Set the complete latitude boundaries information.

    +
    +

    Parameters

    +
    +
    dataDict[str, Any]

    A dictionary containing the complete latitude boundaries data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of latitude boundaries values. +attr_name: attr_value, # Latitude boundaries attributes. +…

    +
    +

    }

    +
    +
    +
    +
    + +
    +
    +set_full_levels(data: Dict[str, Any]) → None[source]
    +

    Set the complete vertical level information.

    +
    +

    Parameters

    +
    +
    dataDict[str, Any]

    A dictionary containing the complete vertical level data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of vertical level values. +attr_name: attr_value, # Vertical level attributes. +…

    +
    +

    }

    +
    +
    +
    +
    + +
    +
    +set_full_longitudes(data: Dict[str, Any]) → None[source]
    +

    Set the complete longitude information.

    +
    +

    Parameters

    +
    +
    dataDict[str, Any]

    A dictionary containing the complete longitude data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of longitude values. +attr_name: attr_value, # Longitude attributes. +…

    +
    +

    }

    +
    +
    +
    +
    + +
    +
    +set_full_longitudes_boundaries(data: Dict[str, Any]) → None[source]
    +

    Set the complete longitude boundaries information.

    +
    +

    Parameters

    +
    +
    dataDict[str, Any]

    A dictionary containing the complete longitude boundaries data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of longitude boundaries values. +attr_name: attr_value, # Longitude boundaries attributes. +…

    +
    +

    }

    +
    +
    +
    +
    + +
    +
    +set_full_time_bnds(data: List[datetime]) → None[source]
    +

    Set the complete list of original time step boundaries.

    +
    +

    Parameters

    +
    +
    dataList[datetime]

    The complete list of original time step boundary values to set.

    +
    +
    +
    +
    + +
    +
    +set_full_times(data: List[datetime]) → None[source]
    +

    Set the complete list of original time step values.

    +
    +

    Parameters

    +
    +
    dataList[datetime]

    The complete list of original time step values to set.

    +
    +
    +
    +
    + +
    +
    +set_level_direction(new_direction)[source]
    +

    Set the direction of the vertical level values.

    +
    +

    Parameters

    +
    +
    new_directionstr

    The new direction for the vertical levels. Must be either “up” or “down”.

    +
    +
    +
    +
    +

    Returns

    +
    +
    bool

    True if the direction was set successfully.

    +
    +
    +
    +
    +

    Raises

    +
    +
    ValueError

    If new_direction is not “up” or “down”.

    +
    +
    +
    +
    +
    set_levels(levels)[source]

    Modify the original level values with new ones.

    -
    -

    Parameters

    +
    +

    Parameters

    levelsdict

    Dictionary with the new level information to be set.

    @@ -1025,8 +1410,8 @@ Balanced dataset cannot be written in chunking mode.

    set_strlen(strlen=75)[source]

    Set the strlen

    75 is the standard value used in GHOST data

    -
    -

    Parameters

    +
    +

    Parameters

    strlenint or None

    Max length of the string

    @@ -1038,8 +1423,8 @@ Balanced dataset cannot be written in chunking mode.

    set_time(time_list)[source]

    Modify the original level values with new ones.

    -
    -

    Parameters

    +
    +

    Parameters

    time_listList[datetime]

    List of time steps

    @@ -1051,10 +1436,10 @@ Balanced dataset cannot be written in chunking mode.

    set_time_bnds(time_bnds)[source]

    Modify the original time bounds values with new ones.

    -
    -

    Parameters

    +
    +

    Parameters

    -
    time_bndsList

    List with the new time bounds information to be set.

    +
    time_bndsList

    AList with the new time bounds information to be set.

    @@ -1063,18 +1448,41 @@ Balanced dataset cannot be written in chunking mode.

    set_time_resolution(new_resolution)[source]
    -
    +

    Set the time resolution for the dataset.

    +
    +

    Parameters

    +
    +
    new_resolutionstr

    The new time resolution. Accepted values are “second”, “seconds”, “minute”, “minutes”, +“hour”, “hours”, “day”, “days”.

    +
    +
    +
    +
    +

    Returns

    +
    +
    bool

    True if the time resolution was set successfully.

    +
    +
    +
    +
    +

    Raises

    +
    +
    ValueError

    If new_resolution is not one of the accepted values.

    +
    +
    +
    +
    spatial_join(ext_shp, method=None, var_list=None, info=False, apply_bbox=True)[source]

    Compute overlay intersection of two GeoPandasDataFrames.

    -
    -

    Parameters

    +
    +

    Parameters

    ext_shpGeoPandasDataFrame or str

    File or path from where the data will be obtained on the intersection.

    -
    methodstr

    Overlay method. Accepted values: [‘nearest’, ‘intersection’, ‘centroid’].

    +
    methodstr

    Overlay method. Accepted values: [“nearest”, “intersection”, “centroid”].

    var_listList or None

    Variables that will be included in the resulting shapefile.

    @@ -1086,11 +1494,6 @@ Balanced dataset cannot be written in chunking mode.

    -
    -
    -str2char(data)[source]
    -
    -
    sum_axis(axis='Z')[source]
    @@ -1100,10 +1503,10 @@ Balanced dataset cannot be written in chunking mode.

    to_dtype(data_type='float32')[source]

    Cast variables data into selected data type.

    -
    -

    Parameters

    +
    +

    Parameters

    -
    data_typestr or Type

    Data type, by default ‘float32’

    +
    data_typestr or Type

    Data type, by default “float32”

    @@ -1113,8 +1516,8 @@ Balanced dataset cannot be written in chunking mode.

    to_grib2(path, grib_keys, grib_template_path, lat_flip=True, info=False)[source]

    Write output file with grib2 format.

    -
    -

    Parameters

    +
    +

    Parameters

    pathstr

    Path to the output file.

    @@ -1132,10 +1535,10 @@ Balanced dataset cannot be written in chunking mode.

    -to_netcdf(path, compression_level=0, serial=False, info=False, chunking=False, type='NES', keep_open=False)[source]
    +to_netcdf(path, compression_level=0, serial=False, info=False, chunking=False, nc_type='NES', keep_open=False)[source]

    Write the netCDF output file.

    -
    -

    Parameters

    +
    +

    Parameters

    pathstr

    Path to the output netCDF file.

    @@ -1147,7 +1550,7 @@ Balanced dataset cannot be written in chunking mode.

    chunkingbool

    Indicates if you want a chunked netCDF output. Only available with non-serial writes. Default: False.

    -
    typestr

    Type to NetCDf to write. ‘CAMS_RA’ or ‘NES’

    +
    nc_typestr

    Type to NetCDf to write. “CAMS_RA” or “NES”

    keep_openbool

    Indicates if you want to keep open the NetCDH to fill the data by time-step

    @@ -1164,12 +1567,12 @@ Balanced dataset cannot be written in chunking mode.

  • Add variables to shapefile (as independent function).

  • Write shapefile.

    • -
    -

    Parameters

    +
    +

    Parameters

    pathstr

    Path to the output file.

    -
    timedatetime.datetime

    Time stamp to select.

    +
    timedatetime

    Time stamp to select.

    levint

    Vertical level to select.

    @@ -1182,9 +1585,9 @@ Balanced dataset cannot be written in chunking mode.

    write_shapefile(path)[source]
    -

    Save spatial geodataframe (shapefile).

    -
    -

    Parameters

    +

    Save spatial GeoDataFrame (shapefile).

    +
    +

    Parameters

    pathstr

    Path to the output file.

    @@ -1200,27 +1603,27 @@ Balanced dataset cannot be written in chunking mode.

    Regulat lat lon projection

    -class nes.nc_projections.latlon_nes.LatLonNes(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]
    +class nes.nc_projections.latlon_nes.LatLonNes(comm=None, path=None, info=False, dataset=None, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]

    Bases: Nes

    -
    -

    Attributes

    +
    +

    Attributes

    -
    _var_dimtuple

    Tuple with the name of the Y and X dimensions for the variables. -(‘lat’, ‘lon’) for a regular latitude-longitude projection.

    +
    _var_dimtuple

    A Tuple with the name of the Y and X dimensions for the variables. +(“lat”, “lon”) for a regular latitude-longitude projection.

    -
    _lat_dimtuple

    Tuple with the name of the dimensions of the Latitude values. -(‘lat’,) for a regular latitude-longitude projection.

    +
    _lat_dimtuple

    A Tuple with the name of the dimensions of the Latitude values. +(“lat”, ) for a regular latitude-longitude projection.

    -
    _lon_dimtuple

    Tuple with the name of the dimensions of the Longitude values. -(‘lon’,) for a regular latitude-longitude projection.

    +
    _lon_dimtuple

    A Tuple with the name of the dimensions of the Longitude values. +(“lon”, ) for a regular latitude-longitude projection.

    create_providentia_exp_centre_coordinates()[source]

    Calculate centre latitudes and longitudes from original coordinates and store as 2D arrays.

    -
    -

    Returns

    +
    +

    Returns

    model_centre_latdict

    Dictionary with data of centre coordinates for latitude in 2D (latitude, longitude).

    @@ -1234,8 +1637,8 @@ Balanced dataset cannot be written in chunking mode.

    create_providentia_exp_grid_edge_coordinates()[source]

    Calculate grid edge latitudes and longitudes and get model grid outline.

    -
    -

    Returns

    +
    +

    Returns

    grid_edge_latdict

    Dictionary with data of grid edge latitudes.

    @@ -1247,10 +1650,10 @@ Balanced dataset cannot be written in chunking mode.

    -static new(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]
    +static new(comm=None, path=None, info=False, dataset=None, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]

    Initialize the Nes class.

    -
    -

    Parameters

    +
    +

    Parameters

    comm: MPI.COMM

    MPI Communicator.

    @@ -1260,10 +1663,8 @@ Balanced dataset cannot be written in chunking mode.

    dataset: Dataset

    NetCDF4-python Dataset to initialize the class.

    -
    xarray: bool:

    (Not working) Indicates if you want to use xarray as default.

    -
    -
    parallel_methodstr

    Indicates the parallelization method that you want. Default: ‘Y’. -Accepted values: [‘X’, ‘Y’, ‘T’].

    +
    parallel_methodstr

    Indicates the parallelization method that you want. Default: “Y”. +Accepted values: [“X”, “Y”, “T”].

    avoid_first_hoursint

    Number of hours to remove from first time steps.

    @@ -1288,8 +1689,8 @@ Balanced dataset cannot be written in chunking mode.

    to_grib2(path, grib_keys, grib_template_path, lat_flip=False, info=False)[source]

    Write output file with grib2 format.

    -
    -

    Parameters

    +
    +

    Parameters

    lat_flipbool

    Indicates if the latitudes have to be flipped

    @@ -1313,35 +1714,35 @@ Balanced dataset cannot be written in chunking mode.

    LCC projection

    -class nes.nc_projections.lcc_nes.LCCNes(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]
    +class nes.nc_projections.lcc_nes.LCCNes(comm=None, path=None, info=False, dataset=None, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]

    Bases: Nes

    -
    -

    Attributes

    +
    +

    Attributes

    -
    _ydict

    Y coordinates dictionary with the complete ‘data’ key for all the values and the rest of the attributes.

    +
    _full_ydict

    Y coordinates dictionary with the complete “data” key for all the values and the rest of the attributes.

    -
    _xdict

    X coordinates dictionary with the complete ‘data’ key for all the values and the rest of the attributes.

    +
    _full_xdict

    X coordinates dictionary with the complete “data” key for all the values and the rest of the attributes.

    -
    ydict

    Y coordinates dictionary with the portion of ‘data’ corresponding to the rank values.

    +
    ydict

    Y coordinates dictionary with the portion of “data” corresponding to the rank values.

    -
    xdict

    X coordinates dictionary with the portion of ‘data’ corresponding to the rank values.

    +
    xdict

    X coordinates dictionary with the portion of “data” corresponding to the rank values.

    -
    _var_dimtuple

    Tuple with the name of the Y and X dimensions for the variables. -(‘y’, ‘x’,) for a LCC projection.

    +
    _var_dimtuple

    A Tuple with the name of the Y and X dimensions for the variables. +(“y”, “x”, ) for an LCC projection.

    -
    _lat_dimtuple

    Tuple with the name of the dimensions of the Latitude values. -(‘y’, ‘x’,) for a LCC projection.

    +
    _lat_dimtuple

    A Tuple with the name of the dimensions of the Latitude values. +(“y”, “x”, ) for an LCC projection.

    -
    _lon_dimtuple

    Tuple with the name of the dimensions of the Longitude values. -(‘y’, ‘x’) for a LCC projection.

    +
    _lon_dimtuple

    ATuple with the name of the dimensions of the Longitude values. +(“y”, “x”) for an LCC projection.

    create_providentia_exp_centre_coordinates()[source]

    Calculate centre latitudes and longitudes from original coordinates and store as 2D arrays.

    -
    -

    Returns

    +
    +

    Returns

    model_centre_latdict

    Dictionary with data of centre coordinates for latitude in 2D (latitude, longitude).

    @@ -1355,8 +1756,8 @@ Balanced dataset cannot be written in chunking mode.

    create_providentia_exp_grid_edge_coordinates()[source]

    Calculate grid edge latitudes and longitudes and get model grid outline.

    -
    -

    Returns

    +
    +

    Returns

    grid_edge_latdict

    Dictionary with data of grid edge latitudes.

    @@ -1369,9 +1770,9 @@ Balanced dataset cannot be written in chunking mode.

    create_shapefile()[source]
    -

    Create spatial geodataframe (shapefile).

    -
    -

    Returns

    +

    Create spatial GeoDataFrame (shapefile).

    +
    +

    Returns

    shapefileGeoPandasDataFrame

    Shapefile dataframe.

    @@ -1385,18 +1786,12 @@ Balanced dataset cannot be written in chunking mode.

    Calculate longitude and latitude bounds and set them.

    -
    -
    -filter_coordinates_selection()[source]
    -

    Use the selection limits to filter y, x, time, lev, lat, lon, lon_bnds and lat_bnds.

    -
    -
    get_centroids_from_coordinates()[source]

    Get centroids from geographical coordinates.

    -
    -

    Returns

    +
    +

    Returns

    centroids_gdf: GeoPandasDataFrame

    Centroids dataframe.

    @@ -1404,12 +1799,54 @@ Balanced dataset cannot be written in chunking mode.

    +
    +
    +get_full_x() → Dict[str, Any][source]
    +

    Retrieve the complete X information.

    +
    +

    Returns

    +
    +
    Dict[str, Any]

    A dictionary containing the complete longitude data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of longitude values. +attr_name: attr_value, # Longitude attributes. +…

    +
    +

    }

    +
    +
    +
    +
    + +
    +
    +get_full_y() → Dict[str, Any][source]
    +

    Retrieve the complete Y information.

    +
    +

    Returns

    +
    +
    Dict[str, Any]

    A dictionary containing the complete latitude data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of latitude values. +attr_name: attr_value, # Latitude attributes. +…

    +
    +

    }

    +
    +
    +
    +
    +
    -static new(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]
    +static new(comm=None, path=None, info=False, dataset=None, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]

    Initialize the Nes class.

    -
    -

    Parameters

    +
    +

    Parameters

    comm: MPI.COMM

    MPI Communicator.

    @@ -1419,10 +1856,8 @@ Balanced dataset cannot be written in chunking mode.

    dataset: Dataset

    NetCDF4-python Dataset to initialize the class.

    -
    xarray: bool:

    (Not working) Indicates if you want to use xarray as default.

    -
    -
    parallel_methodstr

    Indicates the parallelization method that you want. Default: ‘Y’. -Accepted values: [‘X’, ‘Y’, ‘T’].

    +
    parallel_methodstr

    Indicates the parallelization method that you want. Default: “Y”. +Accepted values: [“X”, “Y”, “T”].

    avoid_first_hoursint

    Number of hours to remove from first time steps.

    @@ -1443,13 +1878,57 @@ Balanced dataset cannot be written in chunking mode.

    +
    +
    +set_full_x(data: Dict[str, Any]) → None[source]
    +

    Set the complete rotated longitude information.

    +
    +

    Parameters

    +
    +
    dataDict[str, Any]

    A dictionary containing the complete longitude data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of longitude values. +attr_name: attr_value, # Longitude attributes. +…

    +
    +

    }

    +
    +
    +
    +
    + +
    +
    +set_full_y(data: Dict[str, Any]) → None[source]
    +

    Set the complete Y information.

    +
    +

    Parameters

    +
    +
    dataDict[str, Any]

    A dictionary containing the complete latitude data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of latitude values. +attr_name: attr_value, # Latitude attributes. +…

    +
    +

    }

    +
    +
    +
    +
    +
    to_grib2(path, grib_keys, grib_template_path, lat_flip=False, info=False)[source]

    Write output file with grib2 format.

    -
    -

    Parameters

    +
    +

    Parameters

    +
    lat_flipbool

    Indicates if the latitudes need to be flipped Up-Down or Down-Up. Default False.

    +
    pathstr

    Path to the output file.

    grib_keysdict

    Dictionary with the grib2 keys.

    @@ -1470,35 +1949,35 @@ Balanced dataset cannot be written in chunking mode.

    Mercator projection

    -class nes.nc_projections.mercator_nes.MercatorNes(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]
    +class nes.nc_projections.mercator_nes.MercatorNes(comm=None, path=None, info=False, dataset=None, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]

    Bases: Nes

    -
    -

    Attributes

    +
    +

    Attributes

    -
    _ydict

    Y coordinates dictionary with the complete ‘data’ key for all the values and the rest of the attributes.

    +
    _full_ydict

    Y coordinates dictionary with the complete “data” key for all the values and the rest of the attributes.

    -
    _xdict

    X coordinates dictionary with the complete ‘data’ key for all the values and the rest of the attributes.

    +
    _full_xdict

    X coordinates dictionary with the complete “data” key for all the values and the rest of the attributes.

    -
    ydict

    Y coordinates dictionary with the portion of ‘data’ corresponding to the rank values.

    +
    ydict

    Y coordinates dictionary with the portion of “data” corresponding to the rank values.

    -
    xdict

    X coordinates dictionary with the portion of ‘data’ corresponding to the rank values.

    +
    xdict

    X coordinates dictionary with the portion of “data” corresponding to the rank values.

    -
    _var_dimtuple

    Tuple with the name of the Y and X dimensions for the variables. -(‘y’, ‘x’) for a Mercator projection.

    +
    _var_dimtuple

    A Tuple with the name of the Y and X dimensions for the variables. +(“y”, “x”) for a Mercator projection.

    -
    _lat_dimtuple

    Tuple with the name of the dimensions of the Latitude values. -(‘y’, ‘x’) for a Mercator projection.

    +
    _lat_dimtuple

    A Tuple with the name of the dimensions of the Latitude values. +(“y”, “x”) for a Mercator projection.

    -
    _lon_dimtuple

    Tuple with the name of the dimensions of the Longitude values. -(‘y’, ‘x’) for a Mercator projection.

    +
    _lon_dimtuple

    A Tuple with the name of the dimensions of the Longitude values. +(“y”, “x”) for a Mercator projection.

    create_providentia_exp_centre_coordinates()[source]

    Calculate centre latitudes and longitudes from original coordinates and store as 2D arrays.

    -
    -

    Returns

    +
    +

    Returns

    model_centre_latdict

    Dictionary with data of centre coordinates for latitude in 2D (latitude, longitude).

    @@ -1512,8 +1991,8 @@ Balanced dataset cannot be written in chunking mode.

    create_providentia_exp_grid_edge_coordinates()[source]

    Calculate grid edge latitudes and longitudes and get model grid outline.

    -
    -

    Returns

    +
    +

    Returns

    grid_edge_latdict

    Dictionary with data of grid edge latitudes.

    @@ -1526,9 +2005,9 @@ Balanced dataset cannot be written in chunking mode.

    create_shapefile()[source]
    -

    Create spatial geodataframe (shapefile).

    -
    -

    Returns

    +

    Create spatial GeoDataFrame (shapefile).

    +
    +

    Returns

    shapefileGeoPandasDataFrame

    Shapefile dataframe.

    @@ -1542,18 +2021,12 @@ Balanced dataset cannot be written in chunking mode.

    Calculate longitude and latitude bounds and set them.

    -
    -
    -filter_coordinates_selection()[source]
    -

    Use the selection limits to filter y, x, time, lev, lat, lon, lon_bnds and lat_bnds.

    -
    -
    get_centroids_from_coordinates()[source]

    Get centroids from geographical coordinates.

    -
    -

    Returns

    +
    +

    Returns

    centroids_gdf: GeoPandasDataFrame

    Centroids dataframe.

    @@ -1561,12 +2034,54 @@ Balanced dataset cannot be written in chunking mode.

    +
    +
    +get_full_x() → Dict[str, Any][source]
    +

    Retrieve the complete X information.

    +
    +

    Returns

    +
    +
    Dict[str, Any]

    A dictionary containing the complete longitude data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of longitude values. +attr_name: attr_value, # Longitude attributes. +…

    +
    +

    }

    +
    +
    +
    +
    + +
    +
    +get_full_y() → Dict[str, Any][source]
    +

    Retrieve the complete Y information.

    +
    +

    Returns

    +
    +
    Dict[str, Any]

    A dictionary containing the complete latitude data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of latitude values. +attr_name: attr_value, # Latitude attributes. +…

    +
    +

    }

    +
    +
    +
    +
    +
    -static new(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]
    +static new(comm=None, path=None, info=False, dataset=None, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]

    Initialize the Nes class.

    -
    -

    Parameters

    +
    +

    Parameters

    comm: MPI.COMM

    MPI Communicator.

    @@ -1576,10 +2091,8 @@ Balanced dataset cannot be written in chunking mode.

    dataset: Dataset

    NetCDF4-python Dataset to initialize the class.

    -
    xarray: bool:

    (Not working) Indicates if you want to use xarray as default.

    -
    -
    parallel_methodstr

    Indicates the parallelization method that you want. Default: ‘Y’. -Accepted values: [‘X’, ‘Y’, ‘T’].

    +
    parallel_methodstr

    Indicates the parallelization method that you want. Default: “Y”. +Accepted values: [“X”, “Y”, “T”].

    avoid_first_hoursint

    Number of hours to remove from first time steps.

    @@ -1600,13 +2113,57 @@ Balanced dataset cannot be written in chunking mode.

    +
    +
    +set_full_x(data: Dict[str, Any]) → None[source]
    +

    Set the complete rotated longitude information.

    +
    +

    Parameters

    +
    +
    dataDict[str, Any]

    A dictionary containing the complete longitude data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of longitude values. +attr_name: attr_value, # Longitude attributes. +…

    +
    +

    }

    +
    +
    +
    +
    + +
    +
    +set_full_y(data: Dict[str, Any]) → None[source]
    +

    Set the complete Y information.

    +
    +

    Parameters

    +
    +
    dataDict[str, Any]

    A dictionary containing the complete latitude data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of latitude values. +attr_name: attr_value, # Latitude attributes. +…

    +
    +

    }

    +
    +
    +
    +
    +
    to_grib2(path, grib_keys, grib_template_path, lat_flip=False, info=False)[source]

    Write output file with grib2 format.

    -
    -

    Parameters

    +
    +

    Parameters

    +
    lat_flipbool

    Indicates if you want to flip latitudes Up-Down

    +
    pathstr

    Path to the output file.

    grib_keysdict

    Dictionary with the grib2 keys.

    @@ -1627,22 +2184,22 @@ Balanced dataset cannot be written in chunking mode.

    Points projection

    -class nes.nc_projections.points_nes.PointsNes(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='X', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]
    +class nes.nc_projections.points_nes.PointsNes(comm=None, path=None, info=False, dataset=None, parallel_method='X', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]

    Bases: Nes

    -
    -

    Attributes

    +
    +

    Attributes

    -
    _var_dimtuple

    Tuple with the name of the Y and X dimensions for the variables. -(‘lat’, ‘lon’) for a points grid.

    +
    _var_dimtuple

    A Tuple with the name of the Y and X dimensions for the variables. +(“lat”, “lon”, ) for a points grid.

    -
    _lat_dimtuple

    Tuple with the name of the dimensions of the Latitude values. -(‘lat’,) for a points grid.

    +
    _lat_dimtuple

    A Tuple with the name of the dimensions of the Latitude values. +(“lat”, ) for a points grid.

    -
    _lon_dimtuple

    Tuple with the name of the dimensions of the Longitude values. -(‘lon’,) for a points grid.

    +
    _lon_dimtuple

    A Tuple with the name of the dimensions of the Longitude values. +(“lon”, ) for a points grid.

    -
    _stationtuple

    Tuple with the name of the dimensions of the station values. -(‘station’,) for a points grid.

    +
    _stationtuple

    A Tuple with the name of the dimensions of the station values. +(“station”, ) for a points grid.

    @@ -1662,9 +2219,9 @@ Balanced dataset cannot be written in chunking mode.

    create_shapefile()[source]
    -

    Create spatial geodataframe (shapefile).

    -
    -

    Returns

    +

    Create spatial GeoDataFrame (shapefile).

    +
    +

    Returns

    shapefileGeoPandasDataFrame

    Shapefile dataframe.

    @@ -1682,8 +2239,8 @@ Balanced dataset cannot be written in chunking mode.

    get_centroids_from_coordinates()[source]

    Get centroids from geographical coordinates.

    -
    -

    Returns

    +
    +

    Returns

    centroids_gdf: GeoPandasDataFrame

    Centroids dataframe.

    @@ -1693,10 +2250,10 @@ Balanced dataset cannot be written in chunking mode.

    -static new(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='X', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]
    +static new(comm=None, path=None, info=False, dataset=None, parallel_method='X', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]

    Initialize the Nes class.

    -
    -

    Parameters

    +
    +

    Parameters

    comm: MPI.COMM

    MPI Communicator.

    @@ -1706,10 +2263,8 @@ Balanced dataset cannot be written in chunking mode.

    dataset: Dataset

    NetCDF4-python Dataset to initialize the class.

    -
    xarray: bool:

    (Not working) Indicates if you want to use xarray as default.

    -
    -
    parallel_methodstr

    Indicates the parallelization method that you want. Default: ‘X’. -accepted values: [‘X’, ‘T’].

    +
    parallel_methodstr

    Indicates the parallelization method that you want. Default: “X”. +accepted values: [“X”, “T”].

    avoid_first_hoursint

    Number of hours to remove from first time steps.

    @@ -1734,9 +2289,11 @@ Balanced dataset cannot be written in chunking mode.

    to_grib2(path, grib_keys, grib_template_path, lat_flip=False, info=False)[source]

    Write output file with grib2 format.

    -
    -

    Parameters

    +
    +

    Parameters

    +
    lat_flipbool

    Indicates if you want to flip the latitude direction.

    +
    pathstr

    Path to the output file.

    grib_keysdict

    Dictionary with the grib2 keys.

    @@ -1753,8 +2310,8 @@ Balanced dataset cannot be written in chunking mode.

    to_providentia(model_centre_lon, model_centre_lat, grid_edge_lon, grid_edge_lat)[source]

    Transform a PointsNes into a PointsNesProvidentia object

    -
    -

    Returns

    +
    +

    Returns

    points_nes_providentianes.Nes

    Points Nes Providentia Object

    @@ -1770,20 +2327,20 @@ Balanced dataset cannot be written in chunking mode.

    GHOST projection

    -class nes.nc_projections.points_nes_ghost.PointsNesGHOST(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='X', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]
    +class nes.nc_projections.points_nes_ghost.PointsNesGHOST(comm=None, path=None, info=False, dataset=None, parallel_method='X', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]

    Bases: PointsNes

    -
    -

    Attributes

    +
    +

    Attributes

    -
    _qadict

    Quality flags (GHOST checks) dictionary with the complete ‘data’ key for all the values and the rest of the +

    _qadict

    Quality flags (GHOST checks) dictionary with the complete “data” key for all the values and the rest of the attributes.

    -
    _flagdict

    Data flags (given by data provider) dictionary with the complete ‘data’ key for all the values and the rest of +

    _flagdict

    Data flags (given by data provider) dictionary with the complete “data” key for all the values and the rest of the attributes.

    -
    _qadict

    Quality flags (GHOST checks) dictionary with the portion of ‘data’ corresponding to the rank values.

    +
    _qadict

    Quality flags (GHOST checks) dictionary with the portion of “data” corresponding to the rank values.

    -
    _flagdict

    Data flags (given by data provider) dictionary with the portion of ‘data’ corresponding to the rank values.

    +
    _flagdict

    Data flags (given by data provider) dictionary with the portion of “data” corresponding to the rank values.

    @@ -1807,19 +2364,19 @@ the attributes.

    -get_standard_metadata(GHOST_version)[source]
    +static get_standard_metadata(ghost_version)[source]

    Get all possible GHOST variables for each version.

    -
    -

    Parameters

    +
    +

    Parameters

    -
    GHOST_versionstr

    Version of GHOST file.

    +
    ghost_versionstr

    Version of GHOST file.

    -
    -

    Returns

    +
    +

    Returns

    -
    metadata_variables[GHOST_version]list

    List of metadata variables for a certain GHOST version

    +
    metadata_variables[GHOST_version]list

    A List of metadata variables for a certain GHOST version

    @@ -1827,10 +2384,10 @@ the attributes.

    -static new(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='X', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]
    +static new(comm=None, path=None, info=False, dataset=None, parallel_method='X', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]

    Initialize the PointsNesGHOST class.

    -
    -

    Parameters

    +
    +

    Parameters

    comm: MPI.COMM

    MPI Communicator.

    @@ -1840,10 +2397,8 @@ the attributes.

    dataset: Dataset

    NetCDF4-python Dataset to initialize the class.

    -
    xarray: bool:

    (Not working) Indicates if you want to use xarray as default.

    -
    -
    parallel_methodstr

    Indicates the parallelization method that you want. Default: ‘X’. -Accepted values: [‘X’].

    +
    parallel_methodstr

    Indicates the parallelization method that you want. Default: “X”. +Accepted values: [“X”].

    avoid_first_hoursint

    Number of hours to remove from first time steps.

    @@ -1866,20 +2421,24 @@ Balanced dataset cannot be written in chunking mode.

    -to_netcdf(path, compression_level=0, serial=False, info=False, chunking=False)[source]
    +to_netcdf(path, compression_level=0, serial=False, info=False, chunking=False, nc_type='NES', keep_open=False)[source]

    Write the netCDF output file.

    -
    -

    Parameters

    +
    +

    Parameters

    +

    keep_open : bool +nc_type : str +path : str

    +
    +

    Path to the output netCDF file.

    +
    -
    pathstr

    Path to the output netCDF file.

    -
    compression_levelint

    Level of compression (0 to 9) Default: 0 (no compression).

    serialbool

    Indicates if you want to write in serial or not. Default: False.

    infobool

    Indicates if you want to print the information of each writing step by stdout Default: False.

    -
    chunkingbool

    Indicates if you want a chunked netCDF output. Only available with non serial writes. Default: False.

    +
    chunkingbool

    Indicates if you want a chunked netCDF output. Only available with non-serial writes. Default: False.

    @@ -1889,8 +2448,8 @@ Balanced dataset cannot be written in chunking mode.

    to_points()[source]

    Transform a PointsNesGHOST into a PointsNes object

    -
    -

    Returns

    +
    +

    Returns

    points_nesnes.Nes

    Points Nes Object (without GHOST metadata variables)

    @@ -1906,30 +2465,30 @@ Balanced dataset cannot be written in chunking mode.

    Providentia projection

    -class nes.nc_projections.points_nes_providentia.PointsNesProvidentia(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='X', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, model_centre_lon=None, model_centre_lat=None, grid_edge_lon=None, grid_edge_lat=None, **kwargs)[source]
    +class nes.nc_projections.points_nes_providentia.PointsNesProvidentia(comm=None, path=None, info=False, dataset=None, parallel_method='X', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, model_centre_lon=None, model_centre_lat=None, grid_edge_lon=None, grid_edge_lat=None, **kwargs)[source]

    Bases: PointsNes

    -
    -

    Attributes

    +
    +

    Attributes

    -
    _model_centre_londict

    Model centre longitudes dictionary with the complete ‘data’ key for all the values and the rest of the +

    _model_centre_londict

    Model centre longitudes dictionary with the complete “data” key for all the values and the rest of the attributes.

    -
    _model_centre_latdict

    Model centre latitudes dictionary with the complete ‘data’ key for all the values and the rest of the +

    _model_centre_latdict

    Model centre latitudes dictionary with the complete “data” key for all the values and the rest of the attributes.

    -
    _grid_edge_londict

    Grid edge longitudes dictionary with the complete ‘data’ key for all the values and the rest of the +

    _grid_edge_londict

    Grid edge longitudes dictionary with the complete “data” key for all the values and the rest of the attributes.

    -
    _grid_edge_latdict

    Grid edge latitudes dictionary with the complete ‘data’ key for all the values and the rest of the +

    _grid_edge_latdict

    Grid edge latitudes dictionary with the complete “data” key for all the values and the rest of the attributes.

    -
    model_centre_londict

    Model centre longitudes dictionary with the portion of ‘data’ corresponding to the rank values.

    +
    model_centre_londict

    Model centre longitudes dictionary with the portion of “data” corresponding to the rank values.

    -
    model_centre_latdict

    Model centre latitudes dictionary with the portion of ‘data’ corresponding to the rank values.

    +
    model_centre_latdict

    Model centre latitudes dictionary with the portion of “data” corresponding to the rank values.

    -
    grid_edge_londict

    Grid edge longitudes dictionary with the portion of ‘data’ corresponding to the rank values.

    +
    grid_edge_londict

    Grid edge longitudes dictionary with the portion of “data” corresponding to the rank values.

    -
    grid_edge_latdict

    Grid edge latitudes dictionary with the portion of ‘data’ corresponding to the rank values.

    +
    grid_edge_latdict

    Grid edge latitudes dictionary with the portion of “data” corresponding to the rank values.

    @@ -1948,10 +2507,10 @@ attributes.

    -static new(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='X', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, model_centre_lon=None, model_centre_lat=None, grid_edge_lon=None, grid_edge_lat=None, **kwargs)[source]
    +static new(comm=None, path=None, info=False, dataset=None, parallel_method='X', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, model_centre_lon=None, model_centre_lat=None, grid_edge_lon=None, grid_edge_lat=None, **kwargs)[source]

    Initialize the PointsNesProvidentia class.

    -
    -

    Parameters

    +
    +

    Parameters

    comm: MPI.COMM

    MPI Communicator.

    @@ -1961,10 +2520,8 @@ attributes.

    dataset: Dataset

    NetCDF4-python Dataset to initialize the class.

    -
    xarray: bool:

    (Not working) Indicates if you want to use xarray as default.

    -
    -
    parallel_methodstr

    Indicates the parallelization method that you want. Default: ‘X’. -Accepted values: [‘X’].

    +
    parallel_methodstr

    Indicates the parallelization method that you want. Default: “X”. +Accepted values: [“X”].

    avoid_first_hoursint

    Number of hours to remove from first time steps.

    @@ -1981,13 +2538,13 @@ Balanced dataset cannot be written in chunking mode.

    create_nesbool

    Indicates if you want to create the object from scratch (True) or through an existing file.

    -
    model_centre_londict

    Model centre longitudes dictionary with the portion of ‘data’ corresponding to the rank values.

    +
    model_centre_londict

    Model centre longitudes dictionary with the portion of “data” corresponding to the rank values.

    -
    model_centre_latdict

    Model centre latitudes dictionary with the portion of ‘data’ corresponding to the rank values.

    +
    model_centre_latdict

    Model centre latitudes dictionary with the portion of “data” corresponding to the rank values.

    -
    grid_edge_londict

    Grid edge longitudes dictionary with the portion of ‘data’ corresponding to the rank values.

    +
    grid_edge_londict

    Grid edge longitudes dictionary with the portion of “data” corresponding to the rank values.

    -
    grid_edge_latdict

    Grid edge latitudes dictionary with the portion of ‘data’ corresponding to the rank values.

    +
    grid_edge_latdict

    Grid edge latitudes dictionary with the portion of “data” corresponding to the rank values.

    @@ -1995,10 +2552,10 @@ Balanced dataset cannot be written in chunking mode.

    -to_netcdf(path, compression_level=0, serial=False, info=False, chunking=False)[source]
    +to_netcdf(path, compression_level=0, serial=False, info=False, chunking=False, nc_type='NES', keep_open=False)[source]

    Write the netCDF output file.

    -
    -

    Parameters

    +
    +

    Parameters

    pathstr

    Path to the output netCDF file.

    @@ -2008,7 +2565,11 @@ Balanced dataset cannot be written in chunking mode.

    infobool

    Indicates if you want to print the information of each writing step by stdout Default: False.

    -
    chunkingbool

    Indicates if you want a chunked netCDF output. Only available with non serial writes. Default: False.

    +
    chunkingbool

    Indicates if you want a chunked netCDF output. Only available with non-serial writes. Default: False.

    +
    +
    nc_typestr

    Type to NetCDf to write. “CAMS_RA” or “NES”

    +
    +
    keep_openbool

    Indicates if you want to keep open the NetCDH to fill the data by time-step

    @@ -2022,35 +2583,35 @@ Balanced dataset cannot be written in chunking mode.

    Rotated projection

    -class nes.nc_projections.rotated_nes.RotatedNes(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]
    +class nes.nc_projections.rotated_nes.RotatedNes(comm=None, path=None, info=False, dataset=None, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]

    Bases: Nes

    -
    -

    Attributes

    +
    +

    Attributes

    -
    _rlatdict

    Rotated latitudes dictionary with the complete ‘data’ key for all the values and the rest of the attributes.

    +
    _full_rlatdict

    Rotated latitudes dictionary with the complete “data” key for all the values and the rest of the attributes.

    -
    _rlondict

    Rotated longitudes dictionary with the complete ‘data’ key for all the values and the rest of the attributes.

    +
    _full_rlondict

    Rotated longitudes dictionary with the complete “data” key for all the values and the rest of the attributes.

    -
    rlatdict

    Rotated latitudes dictionary with the portion of ‘data’ corresponding to the rank values.

    +
    rlatdict

    Rotated latitudes dictionary with the portion of “data” corresponding to the rank values.

    -
    rlondict

    Rotated longitudes dictionary with the portion of ‘data’ corresponding to the rank values.

    +
    rlondict

    Rotated longitudes dictionary with the portion of “data” corresponding to the rank values.

    -
    _var_dimtuple

    Tuple with the name of the Y and X dimensions for the variables. -(‘rlat’, ‘rlon’) for a rotated projection.

    +
    _var_dimtuple

    A Tuple with the name of the Y and X dimensions for the variables. +(“rlat”, “rlon”) for a rotated projection.

    -
    _lat_dimtuple

    Tuple with the name of the dimensions of the Latitude values. -(‘rlat’, ‘rlon’) for a rotated projection.

    +
    _lat_dimtuple

    A Tuple with the name of the dimensions of the Latitude values. +(“rlat”, “rlon”) for a rotated projection.

    -
    _lon_dimtuple

    Tuple with the name of the dimensions of the Longitude values. -(‘rlat’, ‘rlon’) for a rotated projection.

    +
    _lon_dimtuple

    A Tuple with the name of the dimensions of the Longitude values. +(“rlat”, “rlon”) for a rotated projection.

    create_providentia_exp_centre_coordinates()[source]

    Calculate centre latitudes and longitudes from original coordinates and store as 2D arrays.

    -
    -

    Returns

    +
    +

    Returns

    model_centre_latdict

    Dictionary with data of centre coordinates for latitude in 2D (latitude, longitude).

    @@ -2064,8 +2625,8 @@ Balanced dataset cannot be written in chunking mode.

    create_providentia_exp_grid_edge_coordinates()[source]

    Calculate grid edge latitudes and longitudes and get model grid outline.

    -
    -

    Returns

    +
    +

    Returns

    grid_edge_latdict

    Dictionary with data of grid edge latitudes.

    @@ -2079,8 +2640,8 @@ Balanced dataset cannot be written in chunking mode.

    create_shapefile()[source]

    Create spatial geodataframe (shapefile).

    -
    -

    Returns

    +
    +

    Returns

    shapefileGeoPandasDataFrame

    Shapefile dataframe.

    @@ -2094,18 +2655,12 @@ Balanced dataset cannot be written in chunking mode.

    Calculate longitude and latitude bounds and set them.

    -
    -
    -filter_coordinates_selection()[source]
    -

    Use the selection limits to filter rlat, rlon, time, lev, lat, lon, lon_bnds and lat_bnds.

    -
    -
    get_centroids_from_coordinates()[source]

    Get centroids from geographical coordinates.

    -
    -

    Returns

    +
    +

    Returns

    centroids_gdf: GeoPandasDataFrame

    Centroids dataframe.

    @@ -2113,12 +2668,54 @@ Balanced dataset cannot be written in chunking mode.

    +
    +
    +get_full_rlat() → Dict[str, Any][source]
    +

    Retrieve the complete rotated latitude information.

    +
    +

    Returns

    +
    +
    Dict[str, Any]

    A dictionary containing the complete latitude data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of latitude values. +attr_name: attr_value, # Latitude attributes. +…

    +
    +

    }

    +
    +
    +
    +
    + +
    +
    +get_full_rlon() → Dict[str, Any][source]
    +

    Retrieve the complete rotated longitude information.

    +
    +

    Returns

    +
    +
    Dict[str, Any]

    A dictionary containing the complete longitude data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of longitude values. +attr_name: attr_value, # Longitude attributes. +…

    +
    +

    }

    +
    +
    +
    +
    +
    -static new(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]
    +static new(comm=None, path=None, info=False, dataset=None, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]

    Initialize the Nes class.

    -
    -

    Parameters

    +
    +

    Parameters

    comm: MPI.COMM

    MPI Communicator.

    @@ -2128,21 +2725,23 @@ Balanced dataset cannot be written in chunking mode.

    dataset: Dataset

    NetCDF4-python Dataset to initialize the class.

    -
    xarray: bool:

    (Not working) Indicates if you want to use xarray as default.

    -
    -
    parallel_methodstr

    Indicates the parallelization method that you want. Default: ‘Y’. -Accepted values: [‘X’, ‘Y’, ‘T’].

    +
    parallel_methodstr

    Indicates the parallelization method that you want. Default over Y axis +accepted values: [“X”, “Y”, “T”].

    avoid_first_hoursint

    Number of hours to remove from first time steps.

    avoid_last_hoursint

    Number of hours to remove from last time steps.

    +
    first_levelint

    Index of the first level to use.

    +
    +
    last_levelint or None

    Index of the last level to use. None if it is the last.

    +
    create_nesbool

    Indicates if you want to create the object from scratch (True) or through an existing file.

    -
    balancedbool

    Indicates if you want a balanced parallelization or not. +

    balancedbool

    Indicates if you want a balanced parallelization or not. Balanced dataset cannot be written in chunking mode.

    -
    timeslist, None

    List of times to substitute the current ones while creation.

    +
    timesList[datetime] or None

    List of times to substitute the current ones while creation.

    @@ -2152,23 +2751,65 @@ Balanced dataset cannot be written in chunking mode.

    rotated2latlon(lon_deg, lat_deg, lon_min=-180)[source]

    Calculate the unrotated coordinates using the rotated ones.

    -
    -

    Parameters

    +
    +

    Parameters

    -
    lon_degnumpy.array

    Rotated longitude coordinate.

    +
    lon_degarray

    Rotated longitude coordinate.

    -
    lat_degnumpy.array

    Rotated latitude coordinate.

    +
    lat_degarray

    Rotated latitude coordinate.

    lon_minfloat

    Minimum value for the longitudes: -180 (-180 to 180) or 0 (0 to 360).

    -
    -

    Returns

    +
    +

    Returns

    -
    almdnumpy.array

    Unrotated longitudes.

    +
    almdarray

    Unrotated longitudes.

    +
    +
    aphdarray

    Unrotated latitudes.

    +
    +
    +
    +
    + +
    +
    +set_full_rlat(data: Dict[str, Any]) → None[source]
    +

    Set the complete rotated latitude information.

    +
    +

    Parameters

    +
    +
    dataDict[str, Any]

    A dictionary containing the complete latitude data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of latitude values. +attr_name: attr_value, # Latitude attributes. +…

    +
    +

    }

    -
    aphdnumpy.array

    Unrotated latitudes.

    +
    +
    +
    + +
    +
    +set_full_rlon(data: Dict[str, Any]) → None[source]
    +

    Set the complete rotated longitude information.

    +
    +

    Parameters

    +
    +
    dataDict[str, Any]

    A dictionary containing the complete longitude data and its attributes. +The dictionary structure is: +{

    +
    +

    “data”: ndarray, # Array of longitude values. +attr_name: attr_value, # Longitude attributes. +…

    +
    +

    }

    @@ -2178,9 +2819,11 @@ Balanced dataset cannot be written in chunking mode.

    to_grib2(path, grib_keys, grib_template_path, lat_flip=False, info=False)[source]

    Write output file with grib2 format.

    -
    -

    Parameters

    +
    +

    Parameters

    +
    lat_flipbool

    Indicates if you want to flip the latitude coordinates.

    +
    pathstr

    Path to the output file.

    grib_keysdict

    Dictionary with the grib2 keys.

    @@ -2201,7 +2844,7 @@ Balanced dataset cannot be written in chunking mode.

    Rotated nested projection

    -class nes.nc_projections.rotated_nested_nes.RotatedNestedNes(comm=None, path=None, info=False, dataset=None, xarray=False, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]
    +class nes.nc_projections.rotated_nested_nes.RotatedNestedNes(comm=None, path=None, info=False, dataset=None, parallel_method='Y', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, create_nes=False, balanced=False, times=None, **kwargs)[source]

    Bases: RotatedNes

    diff --git a/docs/build/html/readme.html b/docs/build/html/readme.html index 99d9aebc1a3eccabca465cc8719d67b935310ca2..2439e07d19599bf812a3bf79c85ddf29888b9ba1 100644 --- a/docs/build/html/readme.html +++ b/docs/build/html/readme.html @@ -93,17 +93,7 @@

    How to clone

    Use the following command to get a copy of the repository:

    -
    git clone https://earth.bsc.es/gitlab/es/NES.git
-
    -
    -

    You can use the latest stable version of NES -by accessing the production branch:

    -
    git checkout production
-
    -
    -

    You can also access the master branch to test new features, -that are to be implemented in the upcoming release:

    -
    git checkout master
+
    pip install NES
    diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js index c8fa7c8a07ef62aef367855e43c9ca87820cd085..3cbc9ee83fe5e67918b5a0d0b38a4ddfefc77e76 100644 --- a/docs/build/html/searchindex.js +++ b/docs/build/html/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["authors", "changelog", "contributing", "formats", "index", "methods", "object", "projections", "readme"], "filenames": ["authors.rst", "changelog.rst", "contributing.rst", "formats.rst", "index.rst", "methods.rst", "object.rst", "projections.rst", "readme.rst"], "titles": ["Authors", "CHANGELOG", "Contributing", "Formats", "Contents", "Methods", "The NES object", "Projections", "Introduction"], "terms": {"carl": [0, 2], "tena": 0, "ctwebpag": 0, "alba": [0, 2], "vilanova": 0, "cortez\u00f3n": 0, "avcwebpag": 0, "releas": [1, 8], "date": 1, "unknown": 1, "chang": [1, 2, 3, 7], "new": [1, 2, 5, 7, 8], "featur": [1, 8], "statist": [1, 7], "roll": [1, 7], "mean": [1, 7], "document": 1, "remov": [1, 6, 7], "neg": 1, "valu": [1, 3, 5, 6, 7], "horizont": [1, 3, 4, 7], "interpol": [1, 4, 7], "due": 1, "unmap": 1, "nan": 1, "improv": 1, "load_n": [1, 6], "py": 1, "redund": 1, "code": [1, 2], "fix": [1, 2, 5, 7], "vertic": [1, 4, 7], "descend": 1, "level": [1, 5, 6, 7], "pressur": 1, "71": 1, "http": [1, 5, 7, 8], "earth": [1, 5, 7, 8], "bsc": [1, 5, 8], "e": [1, 2, 5, 7, 8], "gitlab": [1, 5, 8], "ne": [1, 2, 3, 4, 5, 7, 8], "issu": [1, 2], "lat": [1, 3, 4, 5], "lon": [1, 3, 4, 5], "dimens": [1, 3, 7], "netcdf": [1, 3, 5, 6, 7, 8], "project": [1, 3, 4, 5, 6], "need": [1, 5, 7], "them": [1, 7], "2023": 1, "06": 1, "16": [1, 3], "rotat": [1, 4], "nest": [1, 4], "function": [1, 5, 7], "get_fid": [1, 7], "climatologi": 1, "option": [1, 7], "ad": [1, 7], "millisecond": 1, "second": [1, 5], "minut": 1, "dai": [1, 7], "time": [1, 2, 3, 6, 7], "unit": [1, 3, 7], "accept": [1, 5, 6, 7], "resolut": 1, "bug": [1, 2], "The": [1, 4, 7], "input": [1, 3], "argument": 1, "have": [1, 7], "been": [1, 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"nes.nc_projections.points_nes_ghost.PointsNesGHOST.to_points"]], "to_providentia() (nes.nc_projections.points_nes.pointsnes method)": [[7, "nes.nc_projections.points_nes.PointsNes.to_providentia"]], "to_shapefile() (nes.nc_projections.default_nes.nes method)": [[7, "nes.nc_projections.default_nes.Nes.to_shapefile"]], "write_shapefile() (nes.nc_projections.default_nes.nes method)": [[7, "nes.nc_projections.default_nes.Nes.write_shapefile"]]}}) \ No newline at end of file diff --git a/docs/source/readme.rst b/docs/source/readme.rst index c26dea0d974fb0f68eb2ea444c2cda0557e5adc0..25bae6bf2a0e829b613f97ade45ac84b7029df02 100644 --- a/docs/source/readme.rst +++ b/docs/source/readme.rst @@ -2,5 +2,22 @@ Introduction ============ -.. include:: ../../README.rst - :start-after: .. start-here \ No newline at end of file +About +============ + +NES (NetCDF for Earth Science) is the Python I/O library used by SNES, the framework that implements the data post-processing pipelines at the Earth Sciences department, to read and write netCDF files. + +How to clone +============ + +Use the following command to get a copy of the repository: + +:: + + pip install NES + +How to run +============ + +For running NES, please follow the instruction in +the `wiki `_. \ No newline at end of file diff --git a/nes/__init__.py b/nes/__init__.py index e315033b0671c7afe45ff0ac35e95d9cef3c9bf8..77248fe4c25d69b340f5a7e8ee62d66b0d46f638 100644 --- a/nes/__init__.py +++ b/nes/__init__.py @@ -1,5 +1,9 @@ -__date__ = "2024-09-20" -__version__ = "1.1.5" +__date__ = "2024-09-25" +__version__ = "1.1.7" +__all__ = [ + 'open_netcdf', 'concatenate_netcdfs', 'create_nes', 'from_shapefile', 'calculate_geometry_area', 'Nes', 'LatLonNes', + 'LCCNes', 'RotatedNes', 'RotatedNestedNes', 'MercatorNes', 'PointsNesProvidentia', 'PointsNesGHOST', 'PointsNes' +] from .load_nes import open_netcdf, concatenate_netcdfs # from .load_nes import open_raster @@ -7,8 +11,3 @@ from .create_nes import create_nes, from_shapefile from .methods.cell_measures import calculate_geometry_area from .nc_projections import (Nes, LatLonNes, LCCNes, RotatedNes, RotatedNestedNes, MercatorNes, PointsNesProvidentia, PointsNes, PointsNesGHOST) - -__all__ = [ - 'open_netcdf', 'concatenate_netcdfs', 'create_nes', 'from_shapefile', 'calculate_geometry_area', 'Nes', 'LatLonNes', - 'LCCNes', 'RotatedNes', 'RotatedNestedNes', 'MercatorNes', 'PointsNesProvidentia', 'PointsNesGHOST', 'PointsNes' -] diff --git a/nes/nc_projections/points_nes.py b/nes/nc_projections/points_nes.py index 365b9ef5ea00dd6f7e6ae8389b435d10fbb3d3dc..29022b50874c571580e25cc2239a1ecdaa623352 100644 --- a/nes/nc_projections/points_nes.py +++ b/nes/nc_projections/points_nes.py @@ -466,15 +466,15 @@ class PointsNes(Nes): var[self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]] = att_value except IndexError: - raise IndexError(f"Different shapes. out_shape={ - var[self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], - self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]].shape}, " - f"data_shp={att_value.shape}") + out_shape = var[self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], + self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]].shape + raise IndexError("Different shapes. out_shape={0}, data_shp={1}".format( + out_shape, att_value.shape)) except ValueError: - raise ValueError(f"Axis limits cannot be accessed. out_shape={ - var[self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], - self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]].shape}, " - f"data_shp={att_value.shape}") + out_shape = var[self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"], + self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"]].shape + raise ValueError("Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( + out_shape, att_value.shape)) if self.info: print("Rank {0:03d}: Var {1} data ({2}/{3})".format(self.rank, var_name, i + 1, diff --git a/nes/nc_projections/points_nes_ghost.py b/nes/nc_projections/points_nes_ghost.py index 25b7d3ba0ed656661a6620ae15c161d095dd0641..0df1c75e64cc6da2dc0b2d139a63ce8d2aba68b7 100644 --- a/nes/nc_projections/points_nes_ghost.py +++ b/nes/nc_projections/points_nes_ghost.py @@ -413,9 +413,9 @@ class PointsNesGHOST(PointsNes): var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :].shape, att_value.shape)) except ValueError: - raise ValueError(f"Axis limits cannot be accessed. out_shape={ - var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :].shape}," - f" data_shp={att_value.shape}") + raise ValueError("Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :].shape, + att_value.shape)) else: try: var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], @@ -426,10 +426,10 @@ class PointsNesGHOST(PointsNes): self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"]].shape, att_value.shape)) except ValueError: - raise ValueError(f"Axis limits cannot be accessed. out_shape={ - var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], - self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"]].shape}, " - f"data_shp={att_value.shape}") + out_shape = var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], + self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"]].shape + raise ValueError("Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( + out_shape, att_value.shape)) elif len(att_value.shape) == 3: try: var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], diff --git a/nes/nc_projections/points_nes_providentia.py b/nes/nc_projections/points_nes_providentia.py index 6a014e660f89befd87b6055aa29f0cb69707debc..ad3fc56282e7a6f406d4ed857d59e870fd91fb05 100644 --- a/nes/nc_projections/points_nes_providentia.py +++ b/nes/nc_projections/points_nes_providentia.py @@ -446,27 +446,27 @@ class PointsNesProvidentia(PointsNes): try: var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :] = att_value except IndexError: - raise IndexError(f"Different shapes. out_shape={ - var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :].shape}," - f" data_shp={att_value.shape}") + raise IndexError("Different shapes. out_shape={0}, data_shp={1}".format( + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :].shape, + att_value.shape)) except ValueError: - raise ValueError(f"Axis limits cannot be accessed. out_shape={ - var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :].shape}," - f" data_shp={att_value.shape}") + raise ValueError("Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( + var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], :].shape, + att_value.shape)) else: try: var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"]] = att_value except IndexError: - raise IndexError(f"Different shapes. out_shape={ + raise IndexError("Different shapes. out_shape={0}, data_shp={1}".format( var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], - self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"]].shape}, " - f"data_shp={att_value.shape}") + self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"]].shape, + att_value.shape)) except ValueError: - raise ValueError(f"Axis limits cannot be accessed. out_shape={ + raise ValueError("Axis limits cannot be accessed. out_shape={0}, data_shp={1}".format( var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], - self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"]].shape}, " - f"data_shp={att_value.shape}") + self.write_axis_limits["t_min"]:self.write_axis_limits["t_max"]].shape, + att_value.shape)) elif len(att_value.shape) == 3: try: var[self.write_axis_limits["x_min"]:self.write_axis_limits["x_max"], diff --git a/requirements.txt b/requirements.txt index 03716339c4452cbf324cc3bc35e5dee335f28b53..54840a6feb8192e61146e23e9647845b61d41d91 100644 --- a/requirements.txt +++ b/requirements.txt @@ -7,7 +7,7 @@ pyproj setuptools scipy filelock -python-eccodes>=0.9.5 -mpi4py +eccodes +mpi4py-mpich shapely python-dateutil \ No newline at end of file diff --git a/setup.py b/setup.py index fa627cee1b944b0a97bf29c585a22075ebf6d06d..6cc1b933ccfcf0a54710e25108983c515d125451 100755 --- a/setup.py +++ b/setup.py @@ -8,42 +8,59 @@ from nes import __version__ # Get the version number from the relevant file version = __version__ -with open("README.rst", "r") as f: +with open("README.md", "r") as f: long_description = f.read() + +REQUIREMENTS = { + 'install': [ + 'geopandas', + 'rtree>=0.9.0', + 'pandas', + 'netcdf4', + 'numpy', + 'pyproj', + 'setuptools', + 'scipy', + 'filelock', + 'eccodes', + 'mpi4py-mpich', + 'shapely', + 'python-dateutil' + ], + 'setup': [ + 'setuptools_scm', + ], +} + + setup( name='NES', - # license='', - # platforms=['GNU/Linux Debian'], + license='Apache License 2.0', version=version, description='', long_description=long_description, long_description_content_type="text/markdown", - author="Carles Tena Medina, Alba Vilanova Cortezon", - author_email='carles.tena@bsc.es, alba.vilanova@bsc.es', + author="Carles Tena Medina, Alba Vilanova Cortezón, Carmen Piñero Megías", + author_email='carles.tena@bsc.es, alba.vilanova@bsc.es, carmen.pinero@bsc.es', url='https://earth.bsc.es/gitlab/es/NES', - keywords=['Python', 'NetCDF4', 'Grib2', 'Earth'], - install_requires=[ - 'configargparse', - ], packages=find_packages(), classifiers=[ "Programming Language :: Python :: 3.7", "License :: OSI Approved :: GNU General Public License v3 (GPLv3)", "Operating System :: OS Independent", - "Topic :: Scientific/Engineering :: Atmospheric Science" + "Topic :: Scientific/Engineering :: Atmospheric Science", + "Intended Audience :: Science/Research", + "Natural Language :: English" ], package_data={'': [ - 'README.rst', + 'README.md', 'CHANGELOG.rst', 'LICENSE', ] }, - - # entry_points={ - # 'console_scripts': [ - # 'NetCDF_mask = nes.utilities.netCDF_mask:run', - # ], - # }, + setup_requires=REQUIREMENTS['setup'], + install_requires=REQUIREMENTS['install'], + python_requires=">=3.7", ) diff --git a/tutorials/1.Introduction/.1.6.Read_Write_Providentia.ipynb b/tutorials/1.Introduction/.1.6.Read_Write_Providentia.ipynb index d41bddb7f41159cd2f0e889705c69d06fc0f8bb7..29a1c3a3e099943f9d0b12fd2682bdc43dcd7bb4 100644 --- a/tutorials/1.Introduction/.1.6.Read_Write_Providentia.ipynb +++ b/tutorials/1.Introduction/.1.6.Read_Write_Providentia.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *" + "import nes" ] }, { @@ -60,7 +60,7 @@ } ], "source": [ - "nessy = open_netcdf(path=path, info=True, parallel_method='X')\n", + "nessy = nes.open_netcdf(path=path, info=True, parallel_method='X')\n", "nessy" ] }, diff --git a/tutorials/1.Introduction/1.1.Read_Write_Regular.ipynb b/tutorials/1.Introduction/1.1.Read_Write_Regular.ipynb index 1b14e14532e9d12323f6869b268213c5335d886f..6861b91c2773fbb8d24161413fe9defa2fa9d710 100644 --- a/tutorials/1.Introduction/1.1.Read_Write_Regular.ipynb +++ b/tutorials/1.Introduction/1.1.Read_Write_Regular.ipynb @@ -9,11 +9,11 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import geopandas as gpd" @@ -21,7 +21,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -37,7 +37,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -48,22 +48,22 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 4, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "nessy = open_netcdf(path=path, info=True)\n", + "nessy = nes.open_netcdf(path=path, info=True)\n", "nessy" ] }, @@ -341,7 +341,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ "
    " ] @@ -356,7 +356,7 @@ "fig, ax = plt.subplots(1, figsize=(19, 7))\n", "plt.pcolormesh(lon_bnds, lat_bnds, nessy.variables['nox_no']['data'].sum(axis=(0, 1)), cmap='jet', \n", " norm=matplotlib.colors.LogNorm())\n", - "countries = gpd.read_file('/esarchive/shapefiles/gadm_country_mask/gadm_country_ISO3166.shp')\n", + "countries = gpd.read_file('/gpfs/projects/bsc32/models/NES_tutorial_data/gadm_country_mask/gadm_country_ISO3166.shp')\n", "countries.plot(ax=ax, facecolor='none', edgecolor='black', linewidth=0.3)\n", "plt.colorbar(ax=ax, label='NOx expressed as NO (m-2·kg·s-1)')\n", "ax.margins(0)" @@ -431,7 +431,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -445,7 +445,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" } }, "nbformat": 4, diff --git a/tutorials/1.Introduction/1.2.Read_Write_Rotated.ipynb b/tutorials/1.Introduction/1.2.Read_Write_Rotated.ipynb index cc61f96a62b7f1a14d8dcae9ecc70d9266d058d7..f510c056abe2d2576d2c2800c8aae2b08b7dd1e5 100644 --- a/tutorials/1.Introduction/1.2.Read_Write_Rotated.ipynb +++ b/tutorials/1.Introduction/1.2.Read_Write_Rotated.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import geopandas as gpd" @@ -54,7 +54,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 4, @@ -63,7 +63,7 @@ } ], "source": [ - "nessy = open_netcdf(path=path, info=True)\n", + "nessy = nes.open_netcdf(path=path, info=True)\n", "nessy" ] }, @@ -82,7 +82,10 @@ { "data": { "text/plain": [ - "Proj('+proj=ob_tran +o_proj=longlat +ellps=WGS84 +R=6356752.3142 +o_lat_p=39.0 +o_lon_p=-170.0', preserve_units=True)" + "\n", + "Description: PROJ-based coordinate operation\n", + "Area of Use:\n", + "- undefined" ] }, "execution_count": 5, @@ -103,8 +106,8 @@ "data": { "text/plain": [ "{'grid_mapping_name': 'rotated_latitude_longitude',\n", - " 'grid_north_pole_latitude': 39.0,\n", - " 'grid_north_pole_longitude': -170.0}" + " 'grid_north_pole_latitude': np.float32(39.0),\n", + " 'grid_north_pole_longitude': np.float32(-170.0)}" ] }, "execution_count": 6, @@ -151,10 +154,12 @@ { "data": { "text/plain": [ - "{'data': masked_array(data=[ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10.,\n", - " 11., 12., 13., 14., 15., 16., 17., 18., 19., 20., 21.,\n", - " 22., 23.],\n", - " mask=False,\n", + "{'data': masked_array(data=[0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0,\n", + " 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0,\n", + " 20.0, 21.0, 22.0, 23.0],\n", + " mask=[False, False, False, False, False, False, False, False,\n", + " False, False, False, False, False, False, False, False,\n", + " False, False, False, False, False, False, False, False],\n", " fill_value=1e+20),\n", " 'dimensions': ('lev',),\n", " 'dtype': dtype('float64'),\n", @@ -179,98 +184,157 @@ { "data": { "text/plain": [ - "{'data': masked_array(data=[-2.70000000e+01, -2.67999992e+01, -2.66000004e+01,\n", - " -2.63999996e+01, -2.62000008e+01, -2.60000000e+01,\n", - " -2.57999992e+01, -2.56000004e+01, -2.53999996e+01,\n", - " -2.52000008e+01, -2.50000000e+01, -2.47999992e+01,\n", - " -2.46000004e+01, -2.43999996e+01, -2.42000008e+01,\n", - " -2.40000000e+01, -2.37999992e+01, -2.36000004e+01,\n", - " -2.33999996e+01, -2.32000008e+01, -2.30000000e+01,\n", - " -2.27999992e+01, -2.26000004e+01, -2.23999996e+01,\n", - " -2.22000008e+01, -2.20000000e+01, -2.17999992e+01,\n", - " -2.16000004e+01, -2.13999996e+01, -2.12000008e+01,\n", - " -2.10000000e+01, -2.07999992e+01, -2.06000004e+01,\n", - " -2.03999996e+01, -2.02000008e+01, -2.00000000e+01,\n", - " -1.97999992e+01, -1.96000004e+01, -1.93999996e+01,\n", - " -1.92000008e+01, -1.90000000e+01, -1.87999992e+01,\n", - " 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-67.87051392, ..., 87.87050629,\n", - " 88.04981995, 88.22803497]],\n", - " mask=False,\n", + " [False, False, False, ..., False, False, False],\n", + " [False, False, False, ..., False, False, False],\n", + " [False, False, False, ..., False, False, False]],\n", " fill_value=1e+20),\n", " 'dimensions': ('rlat', 'rlon'),\n", " 'dtype': dtype('float64'),\n", @@ -682,14 +833,12 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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FgqdPnxIfH8+lS5dYt24d1tbWbNq0iRYtWlCpUiXs7OzQarWiNVZ0dDTFihXD0dGRmjVrUrRoUaytrQkODqZTp05UqVIFPz8/ihUrVuC+njt3jk6dOvHuu++yf/9+evfuzdOnT3F3d6dx48a0adOGrl27kpqayldffUV6ejqHDh3iyJEjRu0olUosLS05deoUISEh2NnZ4ePjI04m7NixgxkzZlClShXKli2Lq6sr7u7udO/enfDwcPr37//SjrWExJtMbGwsgYGBeHt706hRowInxXbt2kWPHj1YuHAhTZs2ZcOGDfz8889G/6GWlpao1WrkcjmVK1fG1taW69ev4+zsTHx8PL169UImk/HXX39Rt25dTp8+TUZGhmjFHRYWRo0aNYz6TUpK4uDBg2KoCzc3N0qUKEGPHj1ezoH5D6LT6QgICCA1NZU5c+bw3nvv0apVK3r16lWoujY2NmK8aj8/P+rWrSt6LEhISPz/IuktBSMcozm8GpFzCpLImR8vVeTUaDTMmDGDDRs2EBUVhbe3N0OGDOGbb74RH7J0Oh3Tp09n9erVJCUl0aRJE3755Rcj97X8kC46CQkJU548eUKZMmXo06cPXl5eLF++HIAxY8YQGxuLpaUlv//+O6DPau7p6UmnTp1YuHAh/v7+hIWF0bNnT/r168eiRYuIioqiRIkSyGQyrK2txWzUKpVKzBhtiEwmo0iRInh6eoqxF728vIiJiaFz5864urpSq1Yt+vbti62tLV5eXrn2Qbi3GTJkyBBKlChBWloaKpUKd3d3zpw5w9GjRxk3bhyjRo3617E2hw0bxrp161izZg1dunTBxcVFtLS8ffs2AwYMoHfv3iiVStasWcOIESP47LPPcHZ25uTJk4waNYphw4YRGBhIamqqmIV9586dqFQqrl69yh9//EHjxo2pWLEiN27c4MqVK9SoUYMVK1bg7u7+r8Yv8c9QKpWkpKTg5uaWp3VnYdm+fTvDhw8nJSUFOzs7ZDIZRYsWZezYsbzzzjv4+vqKZb/55hvmzJmDtbU1tra2uLm50b9/f+rVqye66pteB4ZERETQtm1bBg8ejJ2dHVeuXGHnzp20b9+ebdu2SZlAJf6zREdHc+XKFdzc3ChbtiwqlQovLy8sLCwIDw/nzJkzrF69muPHjwNgZ2cnTjDkd138+OOPbNy40SihHYCrqyuJiYn5jmnMmDF06tSJu3fvolarmTZtGsWKFcPW1pbExERiY2P5448/qF27NjY2NgQEBKBUKpHJZCxbtoyAgAD8/f1JSUmhZs2agP7e9CZMHOWFWq3m5MmT3Llzhxs3bvDrr78ik8nYuXMnXbp0eaVjEWIfDxw4EAsLC1xdXfnxxx9RqVRYWlqi0WjYv38/3bp1E+sIE3rPnj3j559/xtnZmbp162JjY0O5cuUA6NOnD506deKdd97B2dn5X/9HSEhIvF1IekvBSCLnm8VLFTm/++47Fi1axPr166lSpQqXL19m6NChzJkzR3Q7nD9/PnPnzmX9+vWULl2aqVOncuvWLe7evSu+WOeHdNFJSEgIBAQEMHr0aFQqlWiNYMjTp0+NBBZDoqKi+Pjjj9mxYwe9e/fmo48+EgXR+Ph4ZDIZERERFC1alMzMTOzs7Dh27BiRkZFcunSJsmXL0qRJEw4ePMixY8eQyWTiGFJSUmjWrJnZflu3bk337t2RyWRkZWVx79499u7dS2xsrNnycrmcVatWkZWVhaurK9evX2fBggUsXryYnj17UqpUqec6ZhEREQwbNgyZTMasWbOoV6+euG3Tpk3MmjWLpk2b4uPjg5ubGx07diQ5OZkGDRrQuHFjqlSpQnBwMMnJyTRt2pTZs2cbWZYqFAoaN27M33//bZQJ/MGDB8yfP59ixYrh4+PDn3/+Kb6M37p1K984lBJvJosXL+aLL74Qvz969IiyZcvmKnft2jUCAgLIyMhg27ZtpKen4+rqiqurK40bN6Zy5cps2LCBW7duUaJECUqUKIG/vz9FihShWLFiKBQKrly5QuvWrVGpVHz11VcEBgbSvHnzV7m7Es9BZGQkBw4coGzZsnTq1InMzEwANm7cyPvvvy+Kbjdu3KBatWqiiBIREWE2/u7/CwkJCfTo0UOcYIuJiaFkyZI8fPiQoKAgo7L29va5JtyOHj1KmzZtcrW7fft2+vTpI353dHSkWrVqjBgxgvnz55ORkUFYWBhNmzbl/PnzYmgPQ4oUKYJKpSIzM5NevXpx/vx5cZJiypQp/PXXXzx48IA1a9bQqlUr/Pz8CA4OZv/+/SgUCvr06cPvv//OpEmT0Ol0ODg4iHGRtVotmZmZDB06tECr+tdNXFwc9evXp0yZMpQuXZq9e/fi7u7O3r17jf7z3gTq16/PpUuXxO+FeQV88uSJuI/PU09CQuK/g6S3FIxwjOYDdi+5r0xgIpLImR8vVeTs2rUrRYsWZe3ateK63r17Y2dnx4YNG9DpdHh7ezN+/Hi+/PJLQP9jFS1alICAAPr161dgH9JFJyHx5qNSqcRYjc+LQqEgNjaW4ODgfEUMU8uUd955h99//51NmzaRlJREqVKlaN68uVmrSUMSEhLEDNPnzp2jbt261KpViw8++IBNmzYxYsQIKlWqxBdffCE+6I8ZMwaNRkNERARqtRpra2u0Wq34wubm5kb9+vWpXbs29erVo0WLFlSrVg1XV1cjQVBIxDN06FAcHR2xtbXF1tZWdPfOyMjg1q1bdOjQAWtr6+c+lgK//fYbfn5+NG3aFK1WS2BgIPPmzePo0aMA9O3bF29vb65evcrhw4exsbER63bu3Bm1Wo2rqytfffUVtWrVMkrYIyAIVK6urv94nBJvF0qlslDnZVhYGGvXriU2Npb27dtz7Ngx5HI51tbW2NnZkZCQgK2tLa6urnh7e2NlZcWNGzfYsmULGRkZnD9/njJlyryCPXo56HS6/6yFqUql4tdff2XkyJEA1KxZk+vXr4vbK1asSHJyMn5+fri6uhIeHk6dOnUYO3YstWvXFsu1b9+eQ4cOGbXdpk0bTpw4Qbdu3ahevTojRozA2dkZJycnsczzHNv4+Hju3bvHnTt3yMzMRC6XEx4ejo+PT4Hxf0GfVM7e3r5Qff0bkpOTCQ4ORqlUsn79ekJCQnB2dmb79u1ikjVTevXqxYULF8T/m8aNG2Nvb0/FihUJDAykXbt2fPPNNyxbtoykpCS6du3KgQMH8PPzIzo6mvT0dCMha968eXz99dd07dqVq1evEhkZCehj/Do4OLB9+3Zu3boF6J/9nZycqFixItevX+f+/ft069ZNnMTbtGkTHh4e/9lr4E2jWrVq3L5922hdamqq0bOHUqlEq9WiUCiIj48nJiaGlJQUbGxsyMrKEidDe/fuLbmvS0j8HyLpLQUjiZxvFi/dknPVqlUcOnSIChUqcOPGDdq3b8+iRYvo378/wcHBlC1blmvXroluKQAtWrSgZs2aLFmyJFebCoVCjA8H+hPK19dX+pElJN5CBItIc6hUKqytrenatauY5Oby5cs8efIkl7Xi6dOnRUtJw5djZ2dnUlJSqFu3Lr///juVKlX6R+N88uQJGzduZOrUqdjZ2WFjY4ObmxvBwcGMGTNGzApeqVIlLCws6NGjB3PmzBFf4lQqFU+fPmXnzp0kJSUxe/ZsAPr168etW7do0qQJK1eu/EdjM4dWq+XUqVOcPXuWxMREvvnmG9EdGGDOnDl88803uepZWFiwatUqPvjggzx/l7Nnz7Jjxw5cXV1RqVTExcVRrlw5zp07x82bN7l7965Y9t133xUz0EtIGDJmzBiWLl2Km5sbCQkJYjiHBg0aUKpUKezt7Tl16hSlS5dm1KhReHp6Ur169Xxd198W8rvvvWqePn3KvXv3aNCgAVZWVlhbW2NlZYVCoRCTddWuXZvff/+dd955R4yBevz4cVq3bi228/nnn1O9enUePXrEnDlzcvVTt25djh49Kj6n7d27l7CwMFJSUpg0aZIo1gUHB4sC9ocffsiCBQuwtbVFpVKRkJDAgQMHRHFvzJgxxMTEMHr0aHbv3i1O/syfP58JEybku99KpRJ3d3e6dOlCxYoVxTAZQmK1iRMnYmVlla9b7o4dO+jWrZvZSZ6XjVarZd68eURGRnL37l2OHz+OnZ0dw4YNY+3atWRmZhpZdjo6OmJnZ0dsbCxnzpyhcePGPHjwgB07duDl5UViYiJXr16lS5culCpVCldXV/G53c/Pj9u3b9OnTx+6dOmCSqViz549TJ48GWtraxYvXoyNjQ1BQUHIZDJsbW3F/5uFCxdK8XBfE8nJybi4uDBq1ChsbGy4fPmyGD7GysoKGxsbKleuzMWLFwFwcnJCrVZTtWpV8Xp77733kMvluLu74+XlhUKhYOnSpQwcOJCFCxdSp04d9u7dS9++fRk9ejQtWrR4nbssISHxkpBEzoIRjtFCXo3IOR5J5MyPlypyarVaJk+ezIIFC5DL5Wg0GubMmSNmeT179ixNmjTJleTh3XffRSaTmX05njFjBjNnzsy1XvqRJST+e1y7do2MjAx+++03oqKi2LVrF5s3b6Zfv34oFArWrVtH+fLlad26Nc2bN+fMmTMMGzYMlUpFbGws4eHhonXJ4cOHadu2LVqtFo1Gg4WFBSVKlCA9PZ25c+cyevTo5xrb999/L75IV6tWTYyHdufOHXr16kW9evUYMWKE2bo6nY5Lly7RtWvXXG7p7u7uaDQaypQpw5UrV/7BUcuJSWqOL7/8khs3bhAVFcUHH3zA1KlTUavVL8xF/KOPPmLNmjV88cUXLFy48F+3J/F2kpKSwieffCIm6GrdujUxMTEkJSURGhrK8uXL6dWrF3///TcAPXv2RKfT4eHhQWpqKlqtlnr16jFu3Lh/ZbUsYZ6FCxeKHjSFpV+/fmzZsoUNGzYwYMAAmjZtysmTJzl16hR2dnZ4eHiI953q1aujVqspU6YMzs7ObNq0Kd+2C/soKiRWSUxM5NGjRzx+/Jj4+Hg2bdpEhQoVnmt//l9QqVSkpqaiVCpRKBS4u7u/0GR1oLdqDQ0NRavVUrRoUSwtLbl37x6NGjV6of28Dho2bEhERATt27enSZMm1K5dm6pVq/4jz5RXjZeXl9EzRr9+/XBzc+PQoUOkpKSIkwRr165lwoQJZt+vCoMQ27xYsWI8e/bsRQ1fQkLiDUESOQtGEjnfLF6qyLllyxa++uorvv/+e6pUqcL169cZN24cixYtYvDgwf9I5JQsOSUk3g569OjBxYsXRRHSzc0N0GczF6wh+/bti6en5z9qX6VSsWrVqlziZFBQkPiyW6ZMGSIiIsR7hp+fH6GhoQW2PWfOHL7++us8rXhq1qzJjRs3ANi3bx8NGzZkxYoVTJ48WSzj5+dHs2bNyMzMZPr06VSrVs1sW0FBQRQtWpRr165ha2srZq02Ra1WU6lSJR4/fiyus7S0pHz58ty7dw9AfPG6fv06MpmMIUOG8Ouvv9K0aVOKFClCmTJl+Omnnwrc/+clIyODRYsWcffuXQ4cOMDs2bP5+OOPpeQE/8cEBgbSunVrGjRogLW1NcWLFyc2NpYqVaqI4ldkZCSZmZls2LCB8uXLc+bMGdHaWKPRvBYLuf8X9u3bR5cuXWjcuDFnz54V11taWjJp0iQePHjAtm3bxPVarRaZTMaWLVt4//33c60XluVyORUqVGDXrl1UqlSJsmXLcu/ePTp16sTRo0dp2rQpWVlZXL58GV9fXz7++GOSk5NZu3Ytn3zyCbNmzSIwMJDixYtjZWXFsWPHiImJQafTYW9vj0qlYvPmzQQGBr5woU5CwhxqtZrr16+zefNmQkNDOXToEGfPnn2r4kaHh4dTrlw5xowZw99//01iYqIYFqRo0aKEhoaSkZHxjyzMAwMDadmyJQAnTpwQrTkTEhJE6+orV67w8ccfc+XKFU6dOsWDBw8oV66c9IwgIfGWIImcBSMco594NSLnZ0giZ368VJHT19eXr7/+2kiE+Pbbb9mwYQP379//R+7qpkgXnYTEm4lMJmPatGk8evSIixcv8u6775KYmMikSZMoXrw4v//+Ox9++CFOTk6MHTsWOzs71q5dS4sWLfjll1+M4kD+E7KysggODubZs2csXryYmJgYbGxs8PX1xd/fnyNHjpCZmUlcXBylSpWiSJEieHl54enpib29PZMmTTIbM6x///5s2rQJnU7Htm3beO+99yhWrBgJCQl4e3uTmppKWloao0ePZtGiRUZ1a9euzbRp03Bzc8PNzY3t27czc+ZMfvvtNwYOHJjnvrzzzjuixVtB1KtXj7S0NO7du8fSpUuf20LVkHXr1nH58mWKFy+OhYUF33zzDaVKlSIkJAQAf39/KlasyIEDB1i8eDEjR46U4qxJ5MJQsDxz5gzr1q0jNDSUKlWqoFAoxFANCoUCa2trmjVrxunTp2nVqhXHjh17nUP/z3L+/Hn8/PyoXLkySUlJ4vqSJUsaTQQlJCTg4OBgdD8ODw83SuAWHx8vTmIZsnbtWoYPH06XLl3Yu3ev0bbVq1fz4YcfGokcWVlZxMXFERERQXx8PCqVirJly1KlSpVC3Vd0Oh3BwcEcPXqUjRs3UrJkSfr374+VlRX+/v74+Phw584dKleuXKhjJCHxXyIwMJABAwYwY8YMhg0bJq7X6XT8+uuvDBs2jEmTJpGUlMQvv/zClClT2LdvH82bNycuLo45c+bg6+ubS5gUrvOiRYuKoYXKlSvH48eP+fLLLxk9ejSPHj1i/fr1bNiwQaw3YsQIVq1ahUwmY8+ePXTu3PnVHAgJCYnnRtJbCkYSOd8sXqrI6e7uzrfffsvHH38srps7dy6//vorDx8+FBMPffnll4wfPx7QnyBeXl5S4iEJiVdISkoK58+fx9XVlaZNm6JUKilevDjPnj1jwIABhIaGMmHCBDp37vzcM+8VKlQgKCiI0aNHs2zZMnG9TqdjzZo1ODo6ite6EEds3LhxZGVlcf78eWJiYli3bh0dOnQAYNiwYaxbt4758+cjl8t5/PgxPj4+yOVyZDIZEyZMyPVCnJCQwNdff83q1asBcHFxISAgAF9fX7RaLUqlkkuXLpGQkMCAAQMoX748x44do0yZMmL8zxkzZpCSksLixYsBfUwrIXt6lSpVqFChAm5ubnh7e1OhQgWcnZ0JCAigRo0aaLVaEhIS2LRpEwkJCeK4hHhwhXXrLlq0KDExMcTExODi4oKVlRU7d+5k3rx5+Pj40Lx5c9zd3RkwYIC4n/fu3ctlGapWq0lNTSU4OJiwsDA0Gg1btmyhfPnyJCcn4+rqir29PVOmTBHLS1Z1Es/DypUrSUtLQ6lU8vfffzN//nx+/vln/v77b2QyGbGxsbi7uzNy5EhWrVoF6OMxdu3albt37xIbG4uHh8dr3ov/Lob3yJYtW3LixAlatmxJZmYmY8aMYfXq1fz999+4urqi0+moUaOGGPoD9Jb0WVlZODk54enpyfTp081OqMTExNCzZ0/q16/PsWPHcHZ25saNG6SlpQHQtGlTvL29+eKLL6hbt+5z3WfKly/Po0ePqFChAg8ePCA+Pp46depQrlw52rRpQ3h4OEePHmXy5MkMGjRIsg6WkHgODJN47d27l99++41t27aJMTurV69O8+bNSUlJwdbWlmrVqrF7924xRrnh6+X9+/fx9/c3G6f73r17RhMPUuZ2CYk3D0lvKRjhGC3n1YicnyCJnPnxUkXOIUOGcOTIEVauXEmVKlW4du0aI0aM4MMPP2T+/PkAzJ8/n3nz5rF+/XpKly7N1KlTxeQVgttafkgXnYTEP2Pw4MH89ttvZrc1btyYypUrU61aNR4+fMijR484ePAg7u7uxMXFPVc/wkNytWrViI6OJiYmBoA+ffrwxx9/sHv3bmJiYoiKimLw4MF4e3uLddLT00WXROFWtXHjRgYMGMCgQYNYt24dMpkMCwsLtFotvXr1wsXFhUqVKnHs2DHOnTvHihUraN26Nd7e3uh0Ok6fPs3UqVMJDAwUx2hvb0+DBg2oWrUqBw4cwMHBQcwI7O/vz+bNm2nXrl2u+JkdO3YkOjqaCxcuEBYWRtmyZcnKyhJdw0BvnWRqlRoZGcnx48fp1avXv8rOGxISQunSpXOtr1WrFlOmTKF3795G69VqNVZWVgD8+OOPyOVy2rdvj729PY8ePRJdziQk/ilJSUn07duXkydPUrFiRVEYE4Q0gFu3blGmTBns7e356quvePDgAbt376Z8+fIkJiYSEREhxeF8BSxYsICJEyeK38ePH2804fLzzz/z+PFjfvzxR0DvZfPBBx/w6aefihM8hkyaNInvvvtO/P7s2TO8vb0BfQiQRo0asWLFCrZt20adOnUYPnw49vb2LFmyhKtXrxISEkJ6ejply5YttCW/MAEjWZBLSDwfOp2Oa9euUatWrX99/Wi1Wj799FN++eWXXCHIhL5A/zyoVquJj48nLi6Op0+fcuPGDb7//nvKlStHVFQUoaGhJCQksHnzZtatW8fhw4fNWopLSEi8OiS9pWAkkfPN4qWKnKmpqUydOpW///6bmJgYvL29ef/995k2bZr4AqPT6Zg+fTqrVq0iKSmJpk2bsnz58kIHkJcuOgmJ/MnMzGTkyJHs27eP+Ph4xowZw/z584mPj2fFihXodDpKly7N+fPniYuLw8bGhtKlS5OYmEhcXBzW1taEhYVRtGhRNm3a9I/cyCMiIrh48SIPHz7k3XffZcGCBfzxxx80bNiQXr164eTkxLvvvkvFihWxsLDg3r17ZGZmYmtrS0REBD/99BMLFixg/fr1DBo0iKioKKOHaBsbG6Kjo3F2diY1NZWjR4/yzjvvADBhwgRiYmL49ddfxfJarZasrCzOnj3LwYMH8fLywtramqysLNLS0vj222/Ztm0bf/zxB/v372fy5MlMmjSJgwcPIpPJaNeuHT4+PkRGRjJt2jTu3bvH9u3bAb0Fe3x8vNH+G2b71Wg0FC9eHHt7e9Ht+5/Sq1cvduzYYbRu/fr19O3b12xsLcNkIwsWLKBDhw6UK1cOW1tbKTaWxL9Gp9MZnUcWFhYcOnSItm3bius8PDxwdnYmODiYpk2bUqtWLdHyB8xPCki8XLRaLatXr0YulzN8+HBOnDhBYGAgN27cEMNklC5dmrFjx7Jy5Uo8PDzw8/Pj999/R6PRkJCQgFqtNronv/feeyQmJnL48GFSUlJwcnIC9OfIokWLWLBgATqdDhcXFxo3bkxYWBiDBg1CrVYzfPhwFi9eTEJCAvXq1aNt27ZvTDZ6CYn/CkeOHKFdu3YolUpx8vOfsGPHDnr16kXz5s0ZNmwY0dHR4jOQl5cXp06d4urVqwwZMoRZs2bRuHFjRo0ahVqtpnLlynh6ehIXF0ft2rXFZE5//fUXw4cPJzEx0agvycpTQuL1IOktBSMco1XAPzdfKRwZwAgkkTM/XqrI+SqQLjoJifxRKpU0bNgQf39/ihQpwq+//kpWVpa4ffHixQwaNAhnZ2fxATMpKQlXV1exzOHDhyldujSlS5cuUAy7desW1atXZ9KkSRQpUoQxY8bkaa0YERFBiRIl8PDwIDExEY1GA+gtinbu3En37t25efMmlStX5sKFC+zYscPI9To2NpbevXtz69YtkpKSKFasGFWqVCE0NBSFQkHZsmVp2LAhwcHBuLm54eXlxaFDhxg5ciRDhgwB9G6XVlZWZGVlMWDAAHx8fKhduzYNGzakYsWKKJVKI6symUzG+PHj8fPzw87OjoyMDHQ6HREREcTGxhIREcHhw4fF8vXq1ePixYtoNBqmTZsmWjpFRkZy4sQJQkNDmThxYqEsKebOnSsmN1qxYgWjRo1i/PjxTJkyhYcPHxba3VMIARATEyO63wuZkw1RKBTMmjWL6tWr07t3b7Ht4cOH8+eff5KSksKSJUv49NNPC+xT4r/P6tWr2bp1K7t37yYsLIzixYvTtm1bLl68aFRu2LBhrF27VvxuYWGBTCbjo48+4pdffuGvv/7ivffeQ61WvxUvtTNfoBXh9HvZC3npvBoz6wwveYXJZ17lCkoMbQlBIVChHYx4Dy7ehOv3chdzc4aEFP2y9hIkpoCbA8gawhigRB7NZwAzAUdgavZwHwKl0FtAXATCgKvo/ycEi1AJCYnnZ9GiRVSrVo127dq98LbT09P56aefKFGiBM2bN6dkyZKkp6fTq1cvunbtytixY8WyOp2Ou3fvkpmZyeLFi7lx4wbFixcnODiYCxcu4O7uLlllS0i8gUh6S8FIIuebhSRySki8oSQkJKDVanF1dRXFJZ1Ox/z587l27RqWlpYUL16cq1evUrx4cUJDQzlz5oxYv3LlyqSnp7Nnzx6zWUA3bdpE//79adOmDZGRkaSlpTFixAgiIiLw9fXlwoULFC9enOvXr3P+/Hm0Wm2hrf06d+7M/v37Wb9+PYMHD6ZHjx5MmDCBxo0bi1YDhg+yKpUKlUqFnZ3dP37A1Wq1dOnShZIlS1KiRAnCw8MpVqwYFy5cICsrS4y72aBBA7Zu3YqPjw8pKSkolUpcXFw4dOgQXbp0YeHChbi7u3P16lV++uknrly5Qu3atcV+Ll26RP369alUqRLlypUjPT1dTI4ycOBAjh07RlRUFFqtFgBnZ2dSUlKM6tetWxe1Ws2cOXOYMWMGAEWKFOG7776jWrVqWFpa8vTpU3x9fUlOTqZz587MmTOHvXv3ipmQt2/fTocOHUQLqcIyffp05syZg0ajwdbWVoy/qtVqefbsGaAPV9C5c2fS0tKYN2+eUX0hVuv777/P5s2bAWjdujVHjx59rnFI/PeoWbMmU6dOFcMk3Llzh2+//ZbDhw8jk8no3bs3I0eONLqebG1tGTx4MKGhoVSoUIHPPvuMiIgIsrKyqFGjBq6urrnuF/+WfyJKTjfU8R1MPiFHlDRcVyRnUfFOznKivX6D0kDJzMh2btIYqI822UqlNUpxndxA5ZSjzlXHngx9HUWOyqmxzNmuyf4v0RgonkKbco0mV7lje1T06aameSs4eRwq+oOHK4SFw9On0LYV7N8BcjUMHQ3rt0AZP3BzhUuHIHuIxliCzAv6doVyHpCUBspMWJudm6hZDbC2gifP4MRy8C1Kjihrk9PGIn8zbWeTl13amLf7kVfiLWfatGls3LiRe/fuvdCQHI8ePWLZsmX88MMPZic6AwIC8PDwoGvXri+sz/zQarWcPn2aY8eO8e6779KzZ09kMhmtW7dGLpfTqlUrwsPD+eSTT7h//z7Vq1dnzJgxqNVqfvnlFwAmTpzI/PnzWbFiBREREYSHh7N27VpJBJWQeA1IekvBCMdoHa9G5PwQSeTMD0nklJB4QwkPDyciIoIyZcpw4MABPvnkE3x9ffHx8WHw4ME0bdoUJycnLC0tOXbsGBkZGTx69IiuXbtSt25dAL744gumTZtGkSJF8u0rKyuLS5cuUb169QLLFgaNRsPx48dp164dn332Gdu2bSMqKooqVarwzjvvMH369BeSAOLBgwd89tlndOrUCW9vb1auXImjoyPHjh3DxcWFDRs2oNVqefz4MTVq1KBmzZp5umXduXOHjh07UqRIEe7cucPcuXMJCQlh+vTpaLVatm7dyvjx4xk5ciTe3t4sX76c6OhoAMaOHSvGrRPIzMzk5MmT1KtXDzc3NzIyMrCyshL7V6lUdOvWjejoaKytrXn33Xe5efOm2TipS5cu5fPPP8fHx4ft27eLv+8/RaVSsW/fPnx9fdm9e7cotPbt25cSJUoQHBxM1apVuXv3bq6s7h4eHsjlcnHfATGMgMT/NwqFgilTprBw4UL69esniuAymQwrKyu8vb2NMncfOHCA8uXL8/nnn/P48WM6deqEq6srU6ZMMbLgTE9Px8bGRrQ0N8cckxdfc9oawPQ22QuGTdmYWdfEzHZDAdPRYLlm9qehqJldNsM+x806Ff2EhJIccUMQGBUG62yyRU0nUsV11pocodMUuTpnbx1S9JMrhgdAbTDuDIfcwopQ31KjNbMNrlyDhi314mVwKOz9HboMzCnz/SS4eQ9+3wFpF8BBeLoXdFYbjI9dNplZkJEBT55AiaKw5zSER4FcDlNHGNTNDs+uM7Bu1Zg5FSyfGnwRQrrbmHwH0p0tWGer39eCDFo/frsfkf+TpKWl8fTpU549e4ZWq8Xb25tixYrh7u7+uof2ymnRogWXL18mI0M/uVGlShUGDhxoFGv3edDpdCxevFhMBgt6D5Kvv/66wLrp6elcv36dJk2aoFKp6NmzJ6CPXV63bl0aNmyYS6D84osvRG8Sw1A/5cuXp0mTJmzdupX69esTGBhIw4YNGTx4MCNHjpSETgmJV4yktxSMJHK+WUgip4TEG4hCoaBOnTpkZGTw5MkTmjdvzm+//Yafn59YZsaMGezdu5fLly9z4MABMfu4RqMRxYBHjx5RtmxZ7t+/T+vWrXFycsLKyor09HSWLVtG586dCzUerVZLzZo18fPz4+HDhzx8+FCMmVkYYmJi2LVrF87OzrRs2RJPT89cD6mJiYlcvnyZP//8k7179xIeHk6rVq0ICgoiPDycTZs2ceTIEdzc3Bg+fDgVK1YkKiqK5s2bExQUBECrVq04duwYCoWC+Ph4wsLCuHPnDjNmzKBChQqULFmSvXv3smbNGlq0aIFWq+Xhw4fExsai1Wpxd3fHxcWFpk2bMnjwYFG4nDBhAnZ2dsycOVMUX5KTkwslCMfHxyOXy3FxcWHHjh107doVKysrunTpwpgxY3BxcaFBgwZm6y5evFiMH/rNN9+wbNkyRo8e/Y/iFt65c4dNmzbxwQcf4O3tLYYjiIyMZNu2bXz++edG5RcsWEClSpWws7NDLpfz5MkTihcvTqdOnZ6rX4n/P7RaLXK5HK1WS/369bl8+TLt27fn0KFDYpnixYtToUIFzpw5Q/PmzbG2tiYkJIT79+/zwQcfUHnTpkL1NcXQi9mchaW/mXWGt63SZrYLl5ahkOmb/Wl4yWfX0RnUVRq0nWqvb8CckJmZ/QisIfdkjznLTRsz/ueGwqd9un7ZMj5XMaP9UGfvmyASquU51vmCyCk3EEiFZVm6/jMrC/46AP0/yylTriQ8egpzxsLk4Wb6N+c6r875TMsAR2eDdeaUR1tQKGHebzDtE5DJAENNKw+LUdCLmqk2eoFZOO6C4AzgRXSuqob8LUvOd7uAJIi+HEJCQpg3bx5nz54Vs3p37dqVmjVris9IS5Ys4fz586hUqnwnQ/5rhIaGEh8fb2Qd/7zodDoGDRqEvb09RYoUISgoSIz1XaNGDZo0aULTpk354IMPcHFxoXr16kaJG83RqlUrTpw4IT6DFpajR48SHx9PzZo1cXNz47333hM9ZaKjo+nWrRthYWGMGzcOmUzG5cuXqVChAlZWVhQpUoTbt28TFhbG3bt3mTBhAl26dMHCwgI7Ozu8vLz+8TGSeH2kpKQwbNgwUlJSOHHiBGFhYdJv+RqQ9JaCEY7R77wakXMgksiZH5LIKSHxGhHiPd68eZPly5djY2NDSEgIu3btonfv3vz8889iMofMzEwOHjxIu3btxIzj06dPZ+bMmcTFxREaGkqdOnX47rvvuHHjBiVKlOD+/ft4eXlx8uRJ4uLiKFeuHMWKFePPP//EwsICCwuLfC0qP/jgA4KCgrh8+TITJ05k3rx5HDp0iA4dOvDtt98yefLkQs2oG5ZxcXEhKSkJgH379tGpUydatmxJVlYWFy5cEDOlA1hbW6PT6bC1tSU1NceqqWjRokRHR/PNN99w4MAB1q5dS0BAAMeOHePGjRsADB06lB9++AGVSoWTkxN2dnZ069aNvXv3UqNGDUaOHImFhQUuLi5otVo++OADozHXrl2bq1evAnprCeGhfvDgwVy8eJF79+5Rs2ZNMRYn6F3IixYtipeXF5UqVTJqzzAO4ZQpU5gzZw6gT9ARFRWFvb09ZcuWFZOwpKenc/PmTT7//HMuXLggtjN//ny++uqr57Zk0Gq1xMbG4uHhAZDn7+7v7094eDgODg40b95czJRqaWlJeno6u3btytXukydPSE1NpWbNmuL68ePHM2zYMKKioli9ejU+Pj588cUXeHl5kZmZ+dxu9hJvDjqdjj59+mBvb49MJuP3338HwN7eHgsLC4oXL86ECRP4+uuvcyXhMqQY0B59HMZZ2evaAcuylw1trg3TzhQtk70g/OWbWgkKwqapNR/kCGOGdQyXvU3WGYqaQn8GomGip35khgKmMs+AmsaipqGYqR9mbjUww+BR2VTwNBQ5nROyl3PCLYv7r85nPsScRaS1QRsyYUhqk09AowGXGtC8PlQpB/M/yxYfjTowWM5HiBTHbShAC+Ud4P4d8O8D00bBzNEG9QwPmeEtzeS3Vxv8jiHOOZFCFdkFBOtaORqjY65flzNwG5R4Ewnktq7VyOVskWWa2ckc/l+FUI1GQ1JSEllZWbi7u+eaIM3MzCQoKIi0tDSuXLnCZ599xnvvvUdWVhaOjo5s3LjRbIIcnU7HwYMHmT59OlZWVpw6dUqy8nsOwsPD8ff3x8/PjzJlyrB7927kcjmVK1fm1q1blC9fnu7du1O6dGmmTp3KZ599Jnp+aLVabG1t6dKlCzVr1kQul5ORkYG7u7uY4FCgYcOGnD9/nmnTpjFr1izkcjkajQaFQpGn236DBg24ePEiH374IQqFglq1arFr1y5Wr16NpaUlzs7OODo6olKpuHTpEv7+/nh5eZGamsq5c+d4//33yczMRKnUX6dTp07l8OHDdOvWTYxtLvFqMY1xXxiioqKYMmUK3bp1w8bGRppof01IekvBSCLnm8V/SuS0trbGxsZGesCReKsQHuRAL1p6enpSp04d3nnnHZ49e8aGDRvo37+/eF6PGDGCVatWsXbtWipWrEjTpk0BmDNnDnXr1iUgIIC6desyf/58YmNjKV++PEqlktGjRzNixAi6du1Khw4dkMlkaDQarly5ws6dO1m1ahX9+vUzEp/279/P1q1bWb9+PQDffvstU6ZMoUePHuzatYthw4YxceJEypcvT1RUFL/99hs+Pj74+flRvXp18cYbFhZGyZIlAX0mdGtra+RyuSh2ClSvXp3IyEji4uKM1jdv3pxjx44ZCXMBAQEMHTo0V2KS1NRUIiMjRZGxQ4cOdOzYEaVSybRp0zhw4ACbNm1i165dPH78GAcHB+7du0flypXN/j6WlpYMGjSINWvWoFKpSEhIEMXPpk2bcvToUZo2bUpKSgohISE8e/aMyMhIrK2tiYiIoGfPnjRpkuP7qtPpSElJwcbGxuh+JZPJsLOzo1OnTtSpUwelUomdnR2TJ0+mS5cuucTFl4VWq0Wn03H58mUuXbrEt99+S3R0NCNGjKB169Z4eHgYZcs2FKXzYtSoUaSkpLBp0yaqV6/O/fv3xRcPDw8PMjMzmTNnDg8ePGDBggU4ODhI9/E3GJ1OJ04YCGzatIl58+bRoEEDyq1eTTgg5Ey3JUfDKgZEZS+7AEnAXUAGVAG02dvtTIzEnYU5A0NBsrxBB2AsZhrWN3U3N9xmKmpCjphpIIyp9bcv0d1bKc95UROEskwDKVZtYqFpaRRLU78suKObc0U3bF/AXDnB1dw+PecalGV3pTMzjyGImpbZ4qA5AdQyXdyJ3JhbZyqEmhM2LU2+G64TTg4zLu1GCNvNJV8S2jUn6Drm9JHupbdcVWZbwhsKmoZhBAQEIVqOmiRcsrsQ1mnEWKo5bejbTcUJX8LE9UI5JTZclD0EQGVmqG+7CJqVlUVoaCgHDx7k5s2brF27Fh8fHyIiIgD49NNPcXFxQafTMWfOHIoVK0bv3r3R6XR07NiR77//Hn9/f6pVq2aU0C40NJSIiAjS0tLEUD5yuZzw8HCuXLnCyZMnn9u74VWjVquxsLAgKioKS0tLXFxcXmhczrxQqVRMnjyZcePGoVarCQ0NFSdXQf+MdPDgwQLb6dGjB1qtlt27d1OxYkVq1arFuXPnxBAkvr6+PHnyJNcE6pEjRzh48CA//PADgwYNwtXVlcaNGxMdHc3IkSNf6jHYunUrrVq1omjRokbr/98sfv8JOp2Ox48fc+PGDfr06UPTpk25evUqEydOpHnz5jRq1Ei85ooUKSLGnp8wYQIfffQR5cqVe21jnz17Ns+ePWP58uWvbQz/NSSRs2CEY7SFVyNy9kMSOfPjPyVySj+yxNvIhQsXaN26NRkZGaxcuZLKlSvz/vvvEx4eLiZ58fb2JjMzk8GDB1OhQgXWrl1Lz549iYuLY8mSJdSqVYv9+/ezdOlSvv32W0qXLk1ycjJpaWmimBQSEmLk7m7IsWPHaNNGH6zO0tIShUIhJhnau3evGKy+QYMG9O3bl4EDB3Lz5k3atWtH+fLlycjIICIiQnSrf/jwIb169aJ27dqcPHkS0D8wff755yxZsqTAYxIREUFiYqKYMKljx47s37/fqMynn37KsmXLiIyMxMLCgmLFirFjxw7Onj1LvXr1qF27NuvXr2fWLL2NmPBQKyRQOnPmDNu3b2fJkiXodDrUarVoJdK0aVPu3r1LQkICoE+OEhgYSOnSpfH09BTHoNPpzIpxWq2Wp0+fsmfPHpRKJX/88Qdly5ZFq9WyKdsNt2/fvlSsWJHExERCQkKoWLEis2fPJjMzEzc3NzZs2CDGuezZs2eu2JivEq1WS2pqKvHx8aSkpPD48WPOnTvHwoULiYqK4smTJ2g0GtEaV7CSSElJyXVfzsjIwMLCgujoaHx9fXn48CEKhYKsrCzGjh1rZLW6dOlSTp48ybp163BwKEgBkXiVLDA57+8BB4DaQCXAAngGXEAf3jIJvWWmLXo96gR6MbMpoLGAw7ZgawutUyCwCDkCpunPLqwX3k/NZQw3F2NT8G4z57ZexEy57HU6N/1napGcF/EMeY5gJSAIZKbiJoAHemtWl5S0nKEKQmK2+KYrkrsfQeg0lxjIRmEseBpZX+YjcsrMCYT6gedezs99XNimMLMOk22G9U0tNrNMlsG82Glunem+CPtr2F/2shDP0/D4pspzJvQMLTkFrLN3QBCo5WbUVcEyV4ENqdkmvsJ5EZ19MqXiZJJkSv/6k4QLtbgm1hfaeybLO4nb8DfwkT01NZUnT54wfvx4Tp8+TVZWFh9++CGPHj3i8ePHfPTRR1SqVIkmTZpQokQJs20kJiZy+/ZttFotwcHBJCcnk5CQgJOTE2q1mvv379OsWTPq169PyZIlcXFxebU7+S95/PgxFSpUwN7enrp163LmzBlKlSrFnTt38owTnhc6nY709HTRo8ccWq2WhIQE5HI5Dx8+ZMmSJdStW5e///6b06dPG5WtVKkSN2/eRC6XY2FhgUqlwtraGltbW7Ky9Bdl2bJlefbsGe+++y5DhgyhadOmYkgSQ1EzP8vM18WgQYNEb4PFixeLoXmeJ+TS8yBM+hY2UefrJjExETc3NwIDA2nevDkAN2/epGnTpqSmprJ582b8/f0pXrw4Xl5eRERE8PfffzNmzBgqVaokeqONGDECb29vevXqRY8ePcTn2tq1a1OsWDE8PDyIj4+nffv2lC5dmgoVKrzmPZd4HiS9pWAkkfPNQhI5JSTeQLRaLfHx8UaCGujFyPnz5+Pg4ECZMmUIDw9n6dKlnD17lh49emBpaYmfnx8hISFoNBpq1qzJkydPOHv2LBUrVkSn01GhQgU6dOiAp6enKAAaUqZMGVq2bMmJEyfo3r076enpeHh4YGtry7Zt27h7924u60nQW5JOmTIFgNjYWLy8vBg9ejRLly6lS5cuXL9+nWrVqjFp0iSaNGnCvXv3qF69umjFUapUKQICAqhWrRqnTp0ysg7cvXu3UVbQNWvW8NFHHwHGweoN6d69Oy1atADg+vXrBAcHM3v2bFq2bIlKpUImk9GkSRMuXbqEVqs1K1bqdLp8H1Tfe+89SpYsyffff0+/fv3YsmWLuG316tV89NFHzJ49m4kTJ2JlZUVwcDBpaWmUKFECNzc3seyKFSu4dOkS1apVEx/Avby8GDduHJMmTcqz//8qgrXJjRs36N27N0WKFMll9SvxaliUT0KfbgXUtcsuX95g3UKgI1DcCdQycLUBq1iIcIesspChhRAd+NhCrSKA4JqeV1QNS5NPw3KmrumGhl5FTLYJnwZxHtXZVp6GyXoE4dHUzVm/Tr9sj95lWbDUdEnIcWE2De+oNujPXFIgME4sJGCjyB0/UxQws9epzQiDYoxNk7L5Wm0WRuQ0J3qaWm/m565u4JouYqo/FDZXnUk9w4RFQsxUISGUYWxOQbCUm4iahmEETAVnQfAG43ifwrmQlt1+Ii7idsEiNA6PXEMXhFKhbGPOiueaVpZ3nNqXJX5qNJpclnlpaWncu3cPmUxG9+7diY+PR6lUcufOHSpUqJCvhVxWVhYjRoygSpUqhIWFYWVlhaenJ8nJydy6dYspU6bg6+tL8eLFn1v8e5M5efIkn3zyCbGxsTx69OhfhWtJS0vj008/JSAggJMnT9KzZ08sLS2xtLTk2bNn9O7dGz8/Py5cuED58uXRaDS0atWKpk2bUrx48XzF0eclKiqK4sWL5/kM9aYgvCsa8rJef7VarTiZ/jYInRMmTGDDhg08e/aM6OhoPD09cXd3JzExUQxXlBcXL14UY8oLMfHHjx/PokWLsLCwoFWrVvTr14/hw/XBmhUKBdeuXaNRo0YAfPbZZyxZsoTw8HB8fX3x9fXl7Nmz+Pr68tNPP1G6dGm0Wi3ly5fH398/z3FIvHwkvaVgJJHzzUISOSUk3nIEC0QhTlJERASrV6+mTp06ZGVlER0dTVBQEB9//LGRCNeqVStOnTqFOvsF2tfXl5SUFJKT9W/hZ86coXHjxrn62rdvH2XKlKFKlSpMmTKFtm3b0rp1a+Li4tBoNBw9epT+/fuLMTwFQfLIkSNcunSJSZMm8eTJE0qVKpVrXzTZL45btmxhwIABgN4CYseOHZQqVQqNRkPz5s0pVqwYAG5ubhQrVoylS5cyZ84cjh7VW8AkJSXleqBNSEjA3d2dOXPmMHnyZBQKhTiLHxQUVKBrTVJSEg4ODrlevJRKJePHj+e9997D09OTzMxMo9iUz8vBgwc5ePAgW7Zs4dmzZy/tQfxtQHjwBWjUqBEBAQHS7P9L4BeDl1NDHapt7qJmMSdp2JtsS0cfKlOwP7QGfOQwtCQcSIBdTcFjL/zVAt7JzmnRyhe+rAudyxg0bCq8GXYuzBuYE8rMZNkWyxk+OmQLm4JlZYaD/iU10ybnkdVU4BTEMcdsUdNJkRM/2CHMJNu5wdiEhEVCHxoz4pBp5nNBpDQSN9NNaxm3b4gobmbl3paLgkTKFINl09/FXIzNNJMyajNl8rLGFXQ2DYUTvE0OpWnCpQx7O1GINI2hKkcjxuE0teI0tKYVBG9DoTTDJLFRKo6iYJmYLW7G4yGeM8JnBvbi+STUVWBjsD3Herglx43Ga08mVrLfzR8TYMi/+A/JysrC1taWhQsXsm/fPkqWLElAQACNGjXi888/Z9++fdjb27Ns2TKjejqdjvj4eCwsLKhfvz5ZWVnY29sTFhbG119/zfjx48UYvv8PtGjRQvRqCQ4OpnTp0gXU0BMREUFwcDANGjSgXbt2uLi44OzszI0bN7h37x5qtZqvvvqK7777DpVKha2t7RstNr5Orly5wpYtW/jrr79YuXKlUdidF83bZM2ZkJDAhQsXaNCgAW5ubuI7RbVq1di3b59Z62tBxDVHeno633zzjZi48/333+fdd98F9JP3ISEh9O/f3+i9XRBGhw0bhk6n49KlS5w9e1acDHB0dKRv376ULVuW9PR07O3t2bx5M0WLFsXZ2VlMlPVPYn5KFA5JbykY4Rj9wasROfsgiZz5IYmcEhL/QU6fPs2gQYOoWbMmn332GZcuXcLDw4ODBw9ib29PbGwsgYGBVK9enfr161O5cmWio6NJTk6mRIkSfPLJJ5w4cYKZM2dSs2ZNEhMT2bhxI9OmTaNIkSLs2LGDu3fvEh8fT6dOnahRowbz5s3j+++/x9XVlQoVKtCsWTNAL4zevXuXx48f4+bmhru7u+iGnh/nzp3j9OnTpKens27dOvz9/bGwsKBfv354enri7OxMWloaHTt2BGDMmDEsXboUCwsLrKyssLKy4vfff6dbt26iJcrly5epV6+eKBxGRkbi4+PD5s2bqVWrFlOmTOHPP/80EhZVKhV+fn44ODjw6NEjoqKicsV3MiQjIwN7e3sjV/Y1a9YwevRorK2tWb58OQMHDsyz/hdffMHixYvF7ykpKf/3SXqWL1/OwoULCQ4OBgonSkvkZk32+WguFmBLg2XBNs1cuYIwFTcBinrDx6mwNwNmF4EhCXoNSwHUdYUTncFODj/dg7tZUMMT0pTw7QW4PRj8iph0Yti4qUWmoV5lKvIZimmm7utFTD7RZ+WGnPiNhq7JAk6abGEzWS/fipaappaShmMzMaQyjItpmgjInKgpkMsaUxAWzRlq5WdNWVgKY71ZUF3D/k3d1E0FacNjUVC4RcPAr6YCuJBJ3qANhY2xeK1Gjia7YEECpyb7/8RQ3DQMVyCIpoLFZjT6/4t43MVzSBA8lQZCplBejVyM+ymIpkqsxf4Mk1c5kYpdtuWwkBCpG7uoqNHH/dxtmTuOK0D/53z0F0QIgOPHj1O/fn3s7XO/xj179oxnz54xc+ZMozjSN27coHr16s/V538NtVrNnTt3qFGjRq5twvNCZmYmmzdvZsGCBURFRYmTzoa4uLhw7tw5KlSo8FaIaK8DjUZDQkICixcvJigoiKZNm3Lr1i1Gjx5NrVq1Xvfw3gquXr3KDz/8wIMHD5g2bRrFixenSpUqREZGipPNgwYNokaNGlhaWiKTyUhOTiYwMJAjR47QoEEDlEqlaOU9depUKlWqRMOGDSlTpozZPlNTU9m/fz8xMTFER0eTkpJCjRo18PDwwM3NjZSUFE6dOiU+g3/++efcunWrUO8UEv8OSW8pGEnkfLOQRE4JiVdIeHg4T548IT4+HkdHRyIjI0lNTSU9PR2ZTIZMJsPCwoLMzExCQkLo27cvzZo1w87OruDGC0CInfTFF19QvXp1fHx8cHBwQKfT8fTpU86cOUOJEiWIi4sjNTWV4sWLM3jwYLMWl68LjUaDTqfD0tKSYcOGsW7dOgYNGiQmRrp//z5r1qxh4cKF+Pv706JFC1xcXHBzc8PKygqFQiEGTBd48uQJ3333Hfv27QOgXbt2pKSkIJPJ8Pf3R6VSsXXrVjp27MjKlSuZOnUqSqVSdM9asGCB2NaYMWP4+eefqVatGrdu3WLRokVYWVmhUqlIT09HpVIRHx9PiRIlmDx5MosXLyYpKUmMgxUSEkJGRgaZmZlGSV0kYP369WzcuJHDhw8brU9ISMDV1fU1jerNJSBb0DSnadU3WH7ef01zwqfQhpWBKOWWnagHB1DrQOYAchnMj4Cvc/Kx0Ko4WFrDYX3uCmp7wap2UKdYPoPIT9g0FUTzqyd8Zgueptabhgju4YI4Jny3NLSiFEQ2YZ1wPPILJ2sSM9IUc9nPLU1FRpO2RMzF2SyI/Kw3TUVVU3HTxDr0SSSMWQyVy8KCUfmMDYyFWdPYmnl5PwvHzFwyI4Fs4VSIT6o0ELoVNrmTSJlizoJTEDkzsDeyyDS0ygR9TE7BilNwTTcUOnNbfRqLmBrkYv+CiJqBvYE7vVps344MAJxIo1W2pWdNrgNQJfYxZFtHEwwbJ5rf17yEz7///pt33nkHgNKlS/PkyRNOnjwpTmRqtVrKli1LdHQ0Dg4OxMXFIZfLadu2LTNnzhTdWf/rDBkyhMzMTLZu3frcdTds2MDu3bvZtm0bLi4ueYZnMeelIqE/Lm3atKFFixbcunULjUZD//79OXr0KBqNhjp16hAdHY2zszPFixdnxIgRebYVHh6eZ+zY/0cyMjJ4+PAhT58+5dKlSzg6OvLee+8V+G6QV8z650Gj0RATE0NMTAxqtRqNRkNqaiotWrSQEke9YiS9pWCEY7SDgvMo/lvSgZ5IImd+SCKnhMQrwjC+44YNG6hevbqYYdPOzg4nJyej2FeZmZmcPn2amzdvotFomDhxIq1btyY+Ph5nZ2e6detGZGQkXl5eKJVK4uPjad68Ob169coVQ8uUxMREnj17RkZGBjqdDltbW/z8/Aq8hszF53pVqNVqhg8fTkJCAhMmTCA8PJwyZcpQv359s+WVSiWRkZEEBQURERFBREQEd+/epV69elhYWBAbG0uvXr2oVasWCoUCuVwuzkbrdDqCgoJwdXXNFRcVEJPsWFtbo9FosLCwEF1kMjMzxVhMhYkpZu5BUK1WGz3ACUmTZDIZGRkZ2NnZodFokMlkr+33eB3odDpsbGxQqXKktrlz5/L111+/xlG9fjbmY6FpKC/kN1UinKmqQq4TcMt+kjN837DK9sR8IIOJobAzAbqXgLbFwM4GVtyHK9lhdL+qCzIZhKfChs76ZbOYZkY3lw1dwFQcMxU1IXe8TsNtBb07CWJejMl6Q6HStG/BICs/93kTzCUOgkIkD3re+JqGmLqb5xe703SbiUCqsYTfdoFPEWjfwEzbtmbqmo4vL8HT0H0djAXPQlhyCuKxWm4cKkBjcj81FDeF0AGCZa8Ca9H6U4PcyKVcECwjs+MfJOEibhe2ZWJvJHQaipriOA3aFQTNDOyxzxY1rcmx1JSjFuPBuhNHc04BerGz5LHskzUou3Ak8DR7OR02bjfqFh3wCJhpsO7y5cvUqVNH/F65cmXq1avHnDlzxLAiffv2pWrVqkybNg0J83z33XcUL16c69evExkZyc8//4ytrS3h4eFER0fz+eef8+zZM6pUqcK9e/eIicm50QwYMEBMovP/TlZWFtOnTxcnmvft20fbtm1JTk5m2bJlBAUFcfDgQT744APatm1LZGQko0aNYvDgwQQEBJhtMzMzk+7du7Nnzx4xc/h/nVatWmFhYcHSpUufK+6lVqulefPm9OvXj7NnzzJ06FDatWv3Ekcq8TqR9JaCkUTONwtJ5JSQeEmoVCojkUupVLJnzx7GjRtHvXr16NatG0OGDCl0e3/++Sfdu3dn6NChNGrUiNGjRxttV6vV7Nixg7179+Lk5ESnTp3o2LHjC4vPpNFo0Gg0+ca7SU1NJTo6Gp1OR3BwMAqFgjp16uDj41Pofr788kvOnDmDo6MjR44cAaBDhw4cPHgQ0Gf5tLW1JTg4mB49euDs7MzHH39sFAfz0qVLovh59epVvLy8kMvlJCYm4u/vj0aj4cCBAyxYsAA/Pz/q1asH6IOiC9aZbm5urF69mqZNm+Yao+CCHxwcTEREBBkZ+hfO5ORk7OzssLGxwdvbm379+onCthArSKVSERkZiZWVFRkZGVhbW+Phobfy+fnnn2nUqBEpKSk0b95cvKcZCqFqtVpc/n8SOAWOHDnC+PHjuXnzprjOwcGBtLS0fGr9t9iYxzXd0mDZkn/nmWyInRlhzM0rZ1mhg80Z8KwINHSBhkXAzhp+zYIPz+SUe680bH0CFjJwsoJmJWBXTxNh07AvB5N15iw2C4rPCDmCpvCIIFgNmrMEzQtBpMzLilIQKwsajzkh9HkFyLx4UT+4IcL+msbwzEvgFBCOg6G1p6lburmYnObaEDCtZ0lusdNUFDWx5DQXDkCw7hQETwFB+BTETY2lpSiCmoYuyMwWItWi67neujwGL1HUFNzR9YmJbMTvwicYu70L7vIKA9HU0HpTnm0/CjlJruzJwBql6HJfnVuiRWeDlCtY7svuKAiyvdv153YyaHWwJwIOxIKNBayJ0CcKSwKeoI+p6w58oNXSs2dPI3f0+vXrs3v3bry8DG4MEmYR4gdmZWURFRWFl5cXY8aMYe7cucTFxTF48GBCQ0O5cOECSUlJBAQE8PTpU7H+1KlTzSaN/H/h4cOH/PzzzxQrVowGDRqwdetWIiIiaNmyJUePHuXatWvExsZSvHhxTp06hZ2dHTExMTRr1ow+ffqwfPnyXN5RQsZ6CwsL7OzsXkpc0ypVqrBo0SK++uorFAoFDx8+xN7enu3bt9O5c+cX3l9hUSgUrFy5ki+++ILVq1czdOjQQtXT6XQMHDgQtVrN06dPqVatGmXKlMHBwYHk5GSsrKzo0aMHFStWfMl7IPEqkPSWghGO0R5ejcjZFUnkzA9J5JSQeEmYWuip1WoGDhzImTNnCAsLY/PmzfTr1++l9K1SqQgICGDFihW4urpy5MgR0eLwRT28CfEsP/30U37++Wex3ZUrV+Ls7IyFhQWOjo6cOXOG7777jl27dtGtW975mI8fP07r1q3F73Xq1GHp0qXUrFmTlJQUhg4dyvvvv0/jxo1xdXVFpVKJcXmEDI2QYzG7bNkyxo0bx+DBg1m9enWh9mn9+vUcPnyYZs2aMXLkSKNtaWlpLF68GJVKhbu7O2XLlqVixYqUKFFCfGBOTk5m3bp1nDhxgqCgIHbt2sWFCxdYsGABKpWK4cOHc/v2bdq2bSvGDVWpVPz4448MGjSIUaNGERgYyA8//EDp0qXFrLOWlpZ4eXmJ59TOnTuxs7Njy5Yt/3eua+np6Xh7e5OSkmK0/pdffmHo0KH/OeuLgDyu104Gy1b5iF+q5xS+DNtS6KCpBupYwGpHsJeBlTdgCeEKOJoBO5SwIwa+KAOLgo3bcrfRC5gH+sDwg/BpTSjqABot9NwFirHk5CYX+jV1KTfcN2eTdaYioSGGFpOGT5v5tQ+Fs2A0J1ga1jHFVHgzJS/rRHP1TIU+8vieV18FnQ+mLuimrummYzTFVJgsSAzNq35ex8DQUtMU0+OYh9ApIFjEGgqg5sIDQI4AahifVRA0hRicgsu6IHzGZMdBiKaoaLGZhItBrE4v0RLUMKu6oTWnIucKEYVOJTZGZZxIxYO47F3XiAKsEKvTBgVleUw5HgHQffchsnVPCEb8bZVR8PF9uJoK1w3mjCb6wIwysOIUeAIDstcXAVyA88+eickA3xRUKhW//PILcXFxuLi4UL58+XyfP8wxd+5cZs2aRd26dWnVqhUzZ84s1POTTqejRYsWnDp1ik8//RQfHx8UCgWOjo4oFAru379vZBGblZWFTCbD1dUVS0tL7t+/T2pqKjNnzsTd3R1XV1fx/87R0ZHk5OT/m1ichgkif/zxR9HlfNSoUTg7OyOXy6latSq3b98GwN/fn4YNG7Ju3Tru379PUFAQCQkJ6HQ6XF1dOXv2LAsWLGDWrFk4OjqiUqmQy+WcOXOGli1bYmNjI/4eOp0OrVZLREQEvr6+yGQywsLC+OGHHyhZsiShoaHPtS9yuVxMSATGk/emfPvtt+zZs4egoCDS09PJysri4cOHlC9f/h8eyRdLVlaWaIm8ZcsWtm/fLnocCaSlpfH7778TFBTE+fPnOXv27GscscS/RdJbCkYSOd8sJJFTQuIVERoaSqlSpRgxYgTLly9/oVZ4gnv1wYMHuXTpEunp6aSlpZGenk6FChWwtrbG1dWVmJgY9uzZQ3R09L/uT3jI9vDwoEqVKgQGBuLj4yPGFw0JCcHZ2ZmzZ8/SpEkT7t+/n2tGV61WExERgYODA3Z2dqxbt47r169z5coVbty4AUCRIkVyxacKDAzkl19+wcbGhm3btlGkSBHWr19Phw4duHbtGrVr10atVhf6GOt0OqytrZkwYQKzZs0yqqfT6ahYsSJBQUE8ePAgz+zeX3zxBXK5nPfff5/p06ezZ88ecduhQ4do3759npnS1Wo1Pj4+qNVqhg0bxvfffy9mgc+LLVu2MHv2bO7evft/l9RBp9Nx7Ngx2rdvb/TSMHr0aJYuXfoaR/ZiMCdsds9HHDINTaVWm9+mzkfgsrPJXf6hLVT9h7eKmp7Q31/v9rr/CcRmQtcy0L4MuFmBtQz8DSNBFMG8eGhqbWlq9WcqPpqLgyksC5e1rUF5KDjTeF6iZn7kJQIKmP4Wpsl2TL/ntd+myXbI47tpfwUlCzIVdwvaH9NbrakALWRFNxUvMdhuuD6vcnmJvAKmv5Hpb10A5mJ3Grq0G7qzG2ZnN0wGJCxHU5T4bDNiISan4LYeY5CMSBBLM7FHgY1ohSkIoEoDoVOBjWg1CjkxQ92JzyV0Cts0yCnLYwBKESKKnc3DLsIF4Fc4EAOXI0EGrIuFNB10d4U4FaTI4HIKpGigtjM8yYD3i8LU0nD0tPHxe96ERi8LQYxctmwZmzZt4swZvUl5fokD09LSuH//PqVKlcLDw4OFCxfi6OiITCZjw4YNDB8+nEGDBuWq9+TJE06fPk2vXr1wdNSL1V9++SULFy7k0qVL1K1b9yXt5X+TjIwMHBwc8PDwoFixYrRt25bGjRuj1Wq5evUqCxYsEJMzHjx4kKFDh5Kens7gwYMLFH/Lly/Po0ePjNYdOHCADh06FGpsMpkMZ2dn3nnnHXr06MHatWvx9vbG3t6e77//PlecSIVCQXx8PDKZjPfff5/AwEAGDhzIb7/9ZlTu+PHj9OzZM9fkrTkcHR3ZvXs3LVu2LNSYXwZRUVH069ePihUr0qVLFxQKBZcvX6Zo0aJi7HwhFJZMJmPs2LHP9Uwu8eYh6S0FIxyjg7wakbMDksiZH5LIKSHxCkhISMDdXf+y8yIsOBUKBefOnePatWs8ePCA27dvY2lpSbly5XBwcKBGjRo0bNiQihUrGj1U3Lp1i+rVq3Pnzh3atGnDmDFjsLa2Ji4uDktLS2xtbWnRogWNGzdmyJAhbNiwgYoVK5KcnIyTkxNdu3blo48+wt/fH5lMxsqVKxkxYgQ6nU50z//uu+/47rvvRBdub29vgoKCzGZilclkjBo1iurVq/PJJ58AcOzYMZRKpZg1XUjwY1jH09OTjz76iIiICNavX0/58uVJSEggLi6Obt26sWfPHqN6jx49IiUlBa1WS2hoKB4eHlSrVg1XV1euX7/O4sWL+eijj2jSpEmuh2Rvb2+cnZ25f/++2d8iMTGRiRMn4uvry9SpU/O09PD29iYiIiLf33XAgAFcu3aN8PBwFi5cSLdu3VCpVNy5c4egoCDRkvPx48fY2NhQsmRJDh06xM6dO9m/f794zP4fOHDgAH379jXrpl61alVu3br1Gkb1z9gokxnFvTQUNE0FTCuDdwSVifCUl7hpitCGYX1nwycyL8AGwhTwSTjUdIdvQ/SbdtWEP5Nh/ZOc4jXc4G6Svl0LwFoOKi30qAie9rD4AiRPgN1B0LU0FBEEJEMByvDdx9Q4OS+rS0NMt+Vl9ZnXO5ZpbMe82i2oX1Nx0FQkNO1fcJ0X+hX2PS8L04IsNvOzbjXE1O0+r/3MwnymeHN9FmSxmldfeR2j/CxazWEuKzsULIwakl1X4ZA7XifoY3aauqobYpggCCCS4gCEURIl1sRli57P8Day7jTM1C6s1yAXY28K/QntG1p42pOJC0mA3qrTJvvHNczSDvr4nYJbuzeRvMdWzgcqCTuSxJff6svo+gIJ5MTrtITrKqhloAsltANXq+xy6Rid6xuDyMWrEj61Wi1eXl6kpqaiVCrx8fGhYsWKWFpaUqxYMezs7Dh37hwffPABAwYMwNvb2+j/umvXroSGhvL48WOWLFlCvXr1qFmzJpmZmdy/fx9LS0uqVauWq98xY8aI7tFJSUn8+uuvZGVlMXv2bA4cOMCVK1deyf6/7WRkZDBhwgSWLVtmtP748eNiJnlPT89/JZQ1atSI8+fPEx4eLk4sa7XafMMwGaLT6YiNjeXhw4cEBASwdu1acVvfvn2pVq2a+C6alZXFsmXLCAsLM2rj+PHjeQqUx48fp0WLFlhYWDB+/HgWLVqU51jKly/Pw4cPCzXul0lgYCBdunRh/vz51K1blzp16hiJvS8iAZHE60fSWwpGEjnfLCSR8z+EUqlErVabFZMkXh86nY6vv/6aBQsW5GnJV1hUKhXW1tZMmTKF6Oho0tLScHFx4b333itwVvf9999ny5YtlCtXjkePHlGvXj0uXrxoNM6bN28axbY0ZM+ePXTt2lX8PnbsWJYsWZLnPv366698+OGH+brYrFq1igsXLuDk5MTnn3/OgAEDOH36NMWKFSMqKopbt25RtWrVfPerQoUKpKSkEB0dzciRI1mwYAEdO3bkwoULJCYm4uzszOeffy6Odf78+aLrd0JCAk5OTgwYMCDXdWNorXr37t08A7I/fPiQYcOGMW/ePBo3boyFhQXh4eFYWFig0WjYunUrcrmccePG5bsfWq2Wd955h507dzJixAg0Gg1Vq1bFw8MDX19fjh49ir29PXK5nIiICNzd3blw4QIRERF4eXnh5+eHn58fR44cYd++fbliTv3XSE9Pp1u3bhw/fjzXNldXVxISEl7DqAqHaUzNTiaijFESn3ze50xFTkMM6+USSg21GVMLQe/sT7nx96gMKL43p1jFIlDNBx7GQ5Za75Y+rA580ACsdTBgMxx5rI/zB3B3HPi7GfRj+gRo7okwLwtKyzyWTUUuYR/yeto03fe8BMJ/G+vSNPZkXtaphvuSl1hakKu2af2CxpRust6wnbzij+Y1ln9i8Sq0V1hLzoL2P6++C2vJmV1fcF0XMrCbxuJUmwxMY9CBBjlKrEnMdksPQ5+UJwR9Ri5DN3bQW3Maxt1MxVEUJwW3eCGhkN4d3tqgL0tR1HQkVRQxXbNFT8OxCmP0JQwnUtHpdGxqEUDwqWfY2sDTQPDcR05yohhIjAe36/qv04vC5KJgnZm93ZacWLU25Gntu9EkjMXLEj1lMhlr1qyhX79+2NnZmbXq+/XXX7GxsSE9PZ0RI0bkej7RaDRs27aNLVu2sGvXrlyThxqNhhkzZuDk5ER6ejo3b95k8uTJnDt3DoVCIYpToPe26N+/PxpNQWbQEqCfMB46dCjjxo2jRYsWyGQyUlNTRWvaF0G1atW4ffs21atX5/Lly4VKDvlvSUlJYebMmaxYsYJTp05Ru3btfMunp6fTpEkT0ZspL8qVK0dQkJlZhedEq9U+V/gDpVLJmTNnOHPmDA0aNECpVNK1a1d++ukn/Pz8ePr0qShsGr4fCOu0Wi1KpVKMR1uuXDlKlSpFxYoVRUtoiTcPSW8pGOEYHeXViJxtkETO/JBETgmJl4jgduPv78/NmzdzubIUBqVSiY2NDXPnzuXq1at069aNDz74AD8/PyIiIkhMTMTFxeVfj7VcuXI8fvxY/P7RRx/h6OiIjY0Njx8/Ztu2bUCO231kZCTe3t4sW7ZMtMI0pUyZMjx58qRAcffcuXM0btyYsmXL8vjxY2rVqsWqVasK7ea1adMm+vfvz6hRo/jll18A/QvPsGHDmDNnDkWLFmX27Nncvn2bYcOG0b59+wLbXLhwIV9++SVnz56lUaNG+ZbduXMnP/74oxjk3tC68Oeff+bTTz8tsL+wsDBKlixZYDmBFi1asH79evz8/ACIj4/n7NmzjBs3juDgYDH7+395Bl2n09GwYUMjsR6gT58+1KpVi2PHjnH48GHxGPzxxx/07t37tRyT/ITNvG4L+QmcYCxyCmXzteB0N1lhLkO5ILiZip2gtzK0hTIrIFMNUelQrwQo1NCqLGy5CS528G51SFHAklM5VTNmgp0teYubeYlaAoUVt0y/m2YzL6xIaIog7AntFBST0nC7jcmnqahZWOvPwvx95CV2mvZlKmCaE0WFMgVZhxoe28JakubVlynmzofC/oZ5HbcCjqMgdGY45I7DCbkFTgFT93JBtAzDl7hsh3LQi5rCtmi8SMI1Vx1Da04BezJEF3TTzO6Qk3zInXgjC1A5GiPrToXGCu39IHSWMvZUmg7ANl03KnOXKvcfQ0B2xXvwIAwqXYNz1aCh6SP2fUjJFsnVauNkZNhifA6oYWMkRrxIsXPixIncunWLffv2FVyYHO8ac88mmZmZNG7cmIYNGxIYGMjdu3cBuHDhAg0bNgT03gJRUVHExelDBCxevBiNRiN6tDRo0ABXV1emTp1K6dKlsbOzw8rKihkzZnDkyBHatGnzgvZc4r+GQqGgZcuWnD9/Hg8PD/EcM8VcKKfnQavVim7lFhYWhRI67969S5UqVRg0aBC//fYbpUqV4s8//6RYsWJ4e3sXWH/8+PHs3LmT6OhoihYtavTOIdC8eXN69+4NIIqioPeCGz58OPXq1aNGjRrPubcS/xZJbykYSeR8s5BETgmJl8ihQ4fo0KEDnp6etGnThilTplC+fPnnSo7i4eGBt7e3mE16x44dnD17lnbt2tGqVat/JJz+W+rXr8+lS5fYvXs33bp1o379+ly4cMFsWZlMRtOmTQkMDCzUQ1RaWhpRUVH06dOHkiVL4uvry48//ijOuAcFBREYGMjw4cPFOvXq1ePy5cvirH96ejru7u4oFDlvzuPHj2f27NmFtnAUhLD8rDgFjhw5wsiRIwkO1pusnDx5kvr16/PDDz/wzTffcPToUaOkSubo27cvf/zxBxYWFoSFhXHy5Em6du1K9+7djawVq1evzqhRo1CpVHTr1o3SpUuLs+cC/fv3x87OjjVr1rBt2zY6der0n5wh12q1dOzYkcOHDxutj4mJQavVmk2GISTgetmYippNDJadX4DAmRdGVqCmbQsihGBRaSjEueWUkQXkrP6rG/QyDUNrg7FQlB1P89B9CImHjVcgORNuRMKSHtCmOlTxIe+4mqaYWj4WxprRwWC9qbiVl7t7Qbdhw3EW5Oae1xiFz2w3dCHmo5D0hixyi5oF9Wnadn5lChJQhTEYYppR3ZylaUFWsqb7YnhcCrKULeg4mLPkfd5jVYDrvdoBMhysjWJw6ocmz+5OY/RdcF0XvguipWCtGYk38bjnyqj+AH2c6hwrTicysBMzqCuwEQVKwChzugZLMdmRMCYnA2tOOzJEC1Chjk6n40ClSfgNb8mTVcfQJGfQL+Z73ImjARepy2UASq99BvcgNQKct0B4dfCxxvj3TifHkjMdUhJyQma4uQGanMRnVmautY0xxj/Le//wdSQ9PR1HR0cSEhJwdXUtsPytW7fo2rUrBw4cwN/fn/DwcE6cOEFISAhBQUFUqFCB4sWLM3z4cJRKJX369CE1NZU2bdpw7do1goODKVKkCBYWFvTp04dRo0YZtS/E9ly/fj0rVqxg/PjxzJs3D4DTp08zd+5cvLy8aNOmDc2aNRMnKiUk8iImJoZ58+aJsUhBH4+0oAn7rVu38tlnn1GxYkW2b99uFI/2edzIf/31V2JiYjh27BiHDh0CoGnTpkybNo127doVej/UajV3796lZMmSFC1alIkTJzJ79mxxe8eOHdm7d6/ZZ7TExERWrFjB5MmTsbKy4smTJ/j4+BS6b4l/h6S3FIxwjALJiUT0skgDWiCJnPnxnxE5v/jiC2JjY3F0dKR69erI5XKGDBnySlwRJN5+hEDZL1MwTExM5MyZMzx9+pRr167Ro0cPI/dvgYsXL1KjRg2sra158OAB/v7+ZGZmihkmBw0aRGxsLBYWFpw6dYrU1FQGDRrEsmXLsLW1JTw8nGfPnnHjxg2WLl1K586dmTFjxgsPY1CqVClCQ0NxdXVl06ZNecaDVCqVNGvWjIsXLz63wJSWlka3bt04ceIEu3fvpmvXruJDWalSpejQoQMJCQls375djHU6YsQIVq9ejbOzM8nJyYwaNYqVK1eKbQrWGQXFYBo7diw//fRToUMMXL16lWXLlhEUFIS3tzfu7u4sX748V8bJvBBm1fOKN5WSksLJkyeZNWsWf//9d66HO7VazV9//cV7772XZx/FihVDo9EwevRonJ2dqVChAg0aNMDDw6NQ+/gmsn37dt59911q167N2bNnsbGxITU1FWdnZywtLVHnk22nsL9NYTEVNusbLBtefXYGXYoiQD4u64aYip9CuVyCpmE5b4wFO8OYlw4mZd0BS1BrwOqXnNUDqsKG21DFExr6QJ/K0KEKyMwIltGpUGyG8brhzWH1x8KgTSrYYCw6GbapNilnaPHngHmxyjCJkWlfeYlyhXWLNhyTqRhnImRqLEFuMj6ZqYCYHwVZLOZnNZmXkGhOfDTdZiqImhN7C4p1qsljXIZ1CiN25vW75He+G2JqUVgQtsbJh4S4nJYaba4YnYYu7KaZ1gWRM9Egm3o8HuJyXLbgKVh3puJkFJtTn6DI3ijpkHW2C7uhRaeABjnW2ReHJZpsmVRvzelEarYUqkan07HbexwtDn9F5MG73PpyE00OfIWzK7gGXaVO/4pU4yZ1uYLrIr1AGngYpl6EY3XAUvj7NgyF/Az9+WwSbiEiEjHWsE8RvQBqZ3j9mYjVW58a/1QFWXomJyezfft2xo8fz61btwrlCfH9998zYcIELly4QP369bl16xa9e/fm5MmTRpNiQgJDrVbL4sWLmTdvHqdPn6ZChQokJydz9epVvLy8qFy5coFCkZ2dHZ9++inFihXDwsKCtLQ0YmJiWLp0KUWLFhWTJkpIFMTu3bvp3r07AIsWLcLT05MBAwaYLdutWzc+/fRTjh8/TkREBH369KF79+7i+RoaGsrevXt5/Pgxhw8fJisrS3R/HzhwIB4eHqSlpREUFMSJEyfw9PQkOTmZ3377jZMnT7J8+XLS09P/0bvFvHnzmDRpEqDPJO/l5UX//v3zbEsI1dWiRQvu3r1LbGwsoI9jv3jxYtzd3cX9EqypJV4carWaU6dO0bp1a0lUywdJ5Hyz+M+InHfv3sXBwYESJUqQmJhI9+7dSU5O5unTp4SFhVGkiGkmg/8+KpWKcePG8ccff9CuXTv8/PywtrZm+vTpxMbG4unpWXAj/0F0Oh0ajQZLS0uUSiVWVlav3H1Vp9Mxd+5cwsLC+OWXX3j48CH79+/n1q1bhIeHU65cOUqXLo2lpSVt27alSpUqYl2lUom1tTUajYZ+/frx+PFjrl27BoC9vT3VqlUTrSrr16+Pj48PGzZseK2xWhctWsT48eNzJREqLHfu3KF79+7UrVuX69evY2VlxZUrV4wsYv/880/Gjx9PlSpV2LdvH9OnT2fGjBlG7dy7d4/KlSuLy5UqVcqzzx07dtCrVy++/vprMjMziY2NxcvLC2dnZ27cuMHGjRtxcMh5Y9PpdJw4cYKdO3eyZMkScX1WVtZzWe7+Wx4/fky5cuUAqFu3LpcvXzba3rhxY86cOYNWq+Xhw4f4+/vTt29ftm7d+ta6tgtuhK1ataJcuXKULVuWoKAg1q5dy+rVqxk5cqRRFnaBjh07sn///n/Vd37CppXJJxSck8W0jJWlseApZEG3siR/YcfwlBO8yPJzVy9i0p4tKAGNFn64AOFpcDEC5BZw5Zm+iIsttCsP229B2mxwsDYYvAMsPgJf/KEXZlUa0GwEC0Gzyct93FREK2wioLzES0PB0xQz60+cgVr+UMQZ8wKgaX+C5Z+ZS9xSsHLLS2TLT8TLb7x5uaCboyArScgtuJrG6cwvXqphP0LbwvO2qWhqON5/GP80LgVuP4EGNbLDH4B4DDUakMvNjM2wT3PWwHm4s+vkObE5IXciIqVcSAJkbMUpWFcK6wXh8gF6k2hB2AyhlNH2yOwLNScjuztKbMhQ5ngf2Ftn5nJFFxAsOA23CZadggCqwRJVcgYJJ+/wcMkhYo7dA4O3gLZ/DcXi9l2+nqrf11ZnzsEVuHoGPt4H2ytBScFq2vA3jCHnPBLO++yhqdQQkay/DwpV3Ipk38NM7wNq2BqZ0ywYi52xsbEsW7YMe3t7NBoNXbt2NZsMKC+6du1KjRo1GD58OLa2tnTp0oXevXszfvx4cSIZ9JOWderUYeTIkYSEhNC1a1dOnjxJZGQk5cuX58GDB5w7d44pU6bw7bffFrr/VatWERYWRkREBFqtFoVCQUBAwCt9RpB4++ncuTNVqlRh4sSJZiepK1SoQFBQEBkZGdjZ2ZGcnMz+/fuJiIjAysoKnU4nxj49dOgQ1tbWLFu2jEWLFlG1alWePn3K9evXjdo8cOAAPj4+jB07lrZt2zJ58mQeP35MmTJlXtFe54TvMsXb25vIyEhmzpzJtGnTzNZVq9XixLdcLn9rn3dfFSkpKcyYMYOMjAzc3d15+PAhf/zxhySq5YOgSZ3h1YicTZBEzvz4z4icAwYMoEOHDsTHx4vb1Go1AQEBXLlypdCZ8942IiIi2LNnD35+frRt25bExERCQ0M5e/YsJ06cwNramn79+tGrVy+z9e/fv8+pU6fw8PAgOjqaY8eOYWNjw6effkqNGjXeugevjIyMtyrx0tGjR7ly5QoWFhb069ePEiVKFLruiRMnGDduHBMnTqRcuXK4u7tTokSJN/JcFx4mevTowY4dO15qH4W5pclkMho1asTZs2cL3W67du04fPgwpUuXxsrKCq1WS0pKCtWqVUOj0ZCamkqpUqWoUqUK169fZ9euXQwePJiAgIB/tV/Pi1Kp5MaNG9SrV4+4uDiuXLkiWtkuWbKEVq1aMXbsWI4fP46VlRUqVU5e788//5xPP/2UyMhImjZt+krH/SJJT09n9uzZ7N27l8aNGzNo0CBCQkKYMGECkZHGgeHOnTsnxlkrLAEGD8emKQTMPWrkJXIWZOhmZ2BBZ2dyK7YyFQGFsoYDKIqxSOhg8mnqzp3dXmgylMpOcOvlAM18wdkWItPgVjREZmsprraQMBNCEqD5CgidBDLHnLE8jdfrZY1nQlIGKH4Da0dyC0zmxFpbk/XmRKm8hFIzbvG6PP7KNJZw+y506Aox2Y8P25dCn84mYzHoRxC/xOEoyFusex4rwn9rVJxfX6aiojl39XSTMoYxVPPLjJ5XpnYbcocmyGuM2evT0uHGXb0I9ul8OHYRinvAszhwtIe0HH2PVd/CsQvwfjfoMUK/zr8c3HsEU0ZDvVpQtSyULZtHnwKGgp0Jiuz9FwROIT6nYGVpKDIaxs80XM7AnlSciM6OFxFDUSOrTXNWnNEUFcXOpAQX5JY5/VjbKnCyzjGltEGBHRk4GZhXapAjRyMKoi4kYYPCKCO8Tqsl9WkS96ZuI+bwTVQJ6eiyA/1+njqJso4x1OEKDY9dh9uQpoB1m+BxMnR0hWau4CiIx/HkFsezh5ySfcs1tEJPSdffw9zcyG2dm5VTX6WGbdmi6QlgDfrQM9OnT8fJKScj/fMQERFBpUqVCAgIoHfv3ty7d4+ePXty8eLFXAYRYWFhfP/99wwcOJD+/fsTFBTE/v37iYyM5K+//mLv3pxsbElJSQUaVBgKKxYWFgwZMsQoQ7eERGH5+eef+eyzz6hfvz7jx4/nzJkzLFmyRPRumT17Np9++um/itl//PhxWrduzdWrV6lVq9aLG/y/IDIyEh8fHxISEti9ezeDBg0Ccq6tbt26sWjRIjG5aEpKCufOnSMqKgo7OzsiIiJo1KgRd+/epWjRonh6epKYmMjGjRtJTEzEz8+PPn36YGFhwYQJE+jZsydff/01tWrVEt+vEhMTmTlzJgsWLCAjI4OVK1cyceLE13ZMXgbC8dy3b5/ogbhy5UpJVMsHSeR8s/jPiJwPHz7EyckJLy+vVxJv7XWSlJRErVq1CAkJEde98847tGjRAg8PD3x8fKhTp44Ygy86Opo6deoQEREB6Ge8Hjx4wLx589i5cyfVq1dn+vTpyOVy7ty5Q48ePQAoUaIEkydP5uOP9T6GKSkpJCcnU6JECaKjo7l27RqNGjV6IUlv3ka0Wi1xcXG0aNGCgIAA6tev/8pnBk+cOMFPP/3EnTt3sLCwwNfXl9jYWJ4+fUqxYsWIiYmhRo0alC1bltKlS5OVlSXGsnFzcyMlJYXSpUtTtWpVGjduXKh4Vv+GRo0aER4ejpOTE/fu3WPkyJGsWLEiVznBxbxNmzYcOXKkUG1XrVqVO3fuAPpzNb8XoMWLF/PFF19QpkwZWrRowbp16/Ise/DgQcaPH4+rqysnT54EyPU7azQaoqOjjQKvP2/GSnMY9iPMPv8bMjIycHR0RKfTUaVKFTw9PTlx4oTZsh9++CF+fn7Y29ujUCjo3r37c1nMvA6USiWzZ89m48aNjBo1CqVSiVarRS6XY2VlxbVr1zh16pR4LxQ4fvw4LVu2LLB9Q3GziZnt5hykDK2XwNitXHBVz8uK09lAfBQFT1OxzlCg9DJpwMtMGTB++jKMr5nd9t678NkRCE7KKTazFai1cCIE+laD61Gw7jLo5uu3n4mEFWfh42bQoBTI7aHsJL2w0bsufLcH+jaAbV+SW5wUTmsTy7zCWNuZdZ82sUg1FCfBwGU8+8Dfug8ZmdAg+x1OZ3C8NCb9WpoKgeYojKu7IQXFKC2o/vOUMRSSDOOCgrEFnqDVmJ5vhomLTJMYCRjGR81vnjS7/k8bYew880VsrSFLCdXKQ6fmsCBbDyrlA1rgaYT5egBn/4bGvaB+TbhyS2/peWATtG8BsuyLNVeMVIzd1SEnw7pSbk0qTkbxOE3dxg0xFDqFDOtx2cJlDEWJw500o1ic9sTjLlp0huFLRoY9Gal6S05tuj3WLqlGgqeTc6pRoiHBpV1AjhonUnPF5tRgiRJrsbyFVsnRJnNQJWXg1qAMoevPANDhS38O/nAvz30cXxJ+KE3OORyP/nwwtA5OBpUCMg3OEzubnHthQvZ5p1JDUW+Mz18NZGa3ZZ+un8PpAmymcBOaeREVFcXAgQPFeM6PHj3iq6++4uuvv6ZBgwaFbicyMlLMAl6hgmnw4tx8/PHHrFixgiFDhhAQEIBcLmfkyJEsW7bsH++LxP83WVlZXL16ldWrV6NUKomPj2f//v3/l5aKmZmZnDhxgokTJ9KsWTPkcjm1a9cmLS2NHj164Ovr+1ztJSYmIpPJuHXrFps2beLixYts3bqVUqVK8c4777BmzRo8PDwoU6YMR48e5eLFi2RmZvLhhx++pD18dZw/f54HDx5QuXJlLC0tKVu2rBSTswAETeoir0bkrI8kcubHf0bk/C/+yImJifz000/MmDGDpUuXcvToUfFmKsQyqVevHkeOHHmh+37lyhWuX7/On3/+adaVc8CAAdSvX5/79+/j5eXF5s2befDggbj9+vXrREVF0bBhQ5KSkrC1tcXW1jbXDPeNGzeoWrXqvxZuXiZqtZqsrCwyMzNxdXWld+/eTJ48WXwI1mg0WFtbo9VqsbKy4scff2TEiBG54vzpdDqePn1KfHw81apVe+HxYlQqFX/++SdJSUls3LiR9PR06tSpQ3JyMv7+/jg5OYlj0ul02NvbEx8fz/Lly7G2tubJkye5xvuyUKlUPH36lDVr1hAdHc2vv/4qblu4cCEajYY1a9aQkJBAcnIyiYmJRm7hedG2bVscHBwYOnQo7du3L9CiV6fTMWzYMLH/FStWMGLECCN3b8OyCxYsEMMbCNefIWPHjuXHH38scJwzZszA0tKSYcOGUaxYsTwfRNVqda7zpE+fPnh6evLdd9/968kFwcXb19eXsLAwdDodq1at4sMPPyQ5OZmVK1eyc+dOMXO5v78/Q4cOZfDgwXh5eRXQ+uuhXLly+Pn5odPpePz4MY0bN6Zo0aJ4e3tToUIFevTowZYtW1i6dCnh4eFisqYvv/yS77//Pld7ASa/jfDqa0dOrDnIETfNrTOXZCivMKGG1pp2eQlfbgbLhj+DoSt6XhnM81oPoih1MxpqZIewtbIAeytINhGxevjDTgPdY3hDyFLBxNYQn6V3Z7e0hJhU8HCETZdAqYaFA6BNNXJb+Bm6GOclXpLHd9MkSOb201x9kzo6eY6oJVjt2afrQxwYiaKmv11+QmxefZMjpBUWmamWll8SJgMM44MaDcUkaQxgLEyZGqQZup6biycquIIL/diCVguHLkBoOPxxBD55F24/guZ1wMcLjp6DKcvByR5Co8D0b6dzU7CxgbGDoG5VcKyjXz9/Inw2BP44CAPHQdUKcOUQRERBmWyj7AXT4YtRevd1nRweBcGK3+HyNTh5FmZ+A1M/z31shDiqGQ7mhU1T6838RE79YdO7rhtaacbhkWOlmR2zU8imHo87cXiIomiksjipiU5o07P/zyyN+3P0SAKgqH00LiQZiZxy1NnxOTNEV3ZLMTu7cexQYT+sUWCJBjVynEjD9vEdbFxtKJd2k1Zhx9i8AuJuwLYg6OEDK/zBMhOuJkCda1DDAVrYQzsb6OwIFjL051eWsdAphLCwkuvvFcI9MSH7XPQyYxB5RQGNsqAmcB341WDbkOd4ZsnKyqJz58706NGDsWPHAnD27FmWLVvGjBkzKF++fKHbel60Wi0RERFUr16dpKQkZDKZ6P4uISHxZqNUKmndujXbt2+nePHir3s4r5T/st7yopBEzjcLSeR8A9FqtZw4cYI2bdoAYGVlJWajE0zldTodH374Ie+++y6dOnV6aWN59uyZaJ3WunVrjh49aracTqdDoVCwadMmvL29CQwMpESJEhQpUoTU1FQ+++wz1Go1rVu3pn379shkMgIDA9m3bx+NGjUiJSWFLl26IJPJcHBw4LPPPnutcVRjY2Pp168fx44dM7v9zp073Lt3j1u3bjFz5kxAb0n4+++/06hRI1JTU42Ezj59+vDnn3+K31/0ZRcSEsLYsWNp2bIlLi4u+Pj4UKxYMVxcXHB1dcXR0VEU07RaLUqlEktLS+7cucO1a9dITU1l8ODBWFpaYm1t/Uozth84cMDsOSwcI3NBxCMjI/nqq6/w8/NDpVLx/fffiwHJ//rrL5o1a1Zgv4ZiZq1atWjdujVz585l0aJFBbqdpKSkkJWVZZSp8qOPPuLvv/8mLi4OgPfff5+0tDTRqtrCwoLHjx9z/fp1zpw5Y7bdoUOHYm1tzZ49e2jQoAHffPMNarWaAQMGMG3aNJYvX05aWhq1atWiZMmSREdHs2LFihc6Yx8eHo6vry8jR440StjUsmVLNm3axJAhQwgNDeX27duv9DwpDF999RU//PADDRo0YP/+/cTExBASEsKff/6Jp6cncXFxeHh4oFAo2Lx5M5GRkVhYWNCtWzejMAobZTIjwVJwSRfOQnN7bXiGCnXdTYWl7O+ZBiKRIGbm+fdl2IY7OZZxeQmckNsyUsDUgjIPQbH3NjjyBFIMxM0STrDpHUhXQS0/cLKBiQfhx3fgViQ0/BnKuEPT8nAzHC6E5NT9siN8P9ikTxuTT8P9zcv6z3Tc5sqa7pO5bWYyoJu6s8vyE/We97QvSKg1wVQAFcZiThg1FWYhJ2akjUIpJj7KlQDJnMipIOe4CU/owncNOcchv7iW2Z8Pw6BiN/2yhQy02X95Rd0gOiH3fgDYWIHC4MLTXc9ZPnkbWgyAVbPho36ADSz4BX7dBvb2kJqmFzTvP4LO7WDfYeO2q1YBhRJWr5NRpiy4uuot5ffu0ZGeDl3a6XBwM465mSHXW1AK1pYC5kROjdkTTk9qhgx7ewsScUGt0pFm5UqizoUETRHklhbE404G9qLgCXrxMwxfwrR6sTM1yQllnHPOb2Bw7B1LxeFmpZ9ZcJMlY0cmWpUaCytL0cLTPlvoNHRXl6MWs7gbiqP2BqJoBvbI0VCZu3RmL5ViQ/WFrgGH0MfijIF7aVD5DLR3hfdcQaOGx5n6y7ODE1TMgPQMcFGDlcxY2FRpDJYNztNMcu6rgugZoQX/VP1hSM4+93ebXJ8FJSwCsLS0RKFQIJfLycrKonz58oSGhr4ST7A7d+5Qu3ZtXFxciI6Ofun9SUhIvBjee+89tm3b9sKTVhqSlZXF+vXrCQ8Px8bGhri4OOzs7Pjuu++QyWRER0dTpUoVhg0bhrOzM2q1GgsLC1xcXHB2dhaTbiYlJWFjYyNO8js4OJCVlUVwcDC3bt2icuXKzxWq6b+ot7xohGN0lVcjctZGEjnzQxI530BkMhmzZ89mwoQJb2R8xX+LTqfLU5TR6XScPn2a5s2b06FDB2rWrElcXBz29vZ06tQJpVKJTCbDzs6OS5cuUbVqVTHTYH79/fTTT7Ro0YLjx4+j0+kYP348jRo1YtasWbRt25b+/ftz8OBBo5iuDRo04MKFC1SqVIn79+9TqlQpevbsScmSJfniiy8ARKHZMDPm3r172bdvHxMnTqRkyZLExMSIYtgvv/zCxx9/TOfOndm7dy+pqamULl2aDh06ULt2bZ49e4aDgwMODg7I5XK8vb3p06dPgZafWq2W7t27k5WVxfTp0wsl8r0u1q1bx7Bhw5g1axYnTpwQheQaNWpw48YNsVxet6aOHTty8OBBo3UDBw6kfv36PHz4kJUrV2JhYUGTJk24fPkyycnJXL58mTp16hAdHY27uztqtRo7O/0LbPPmzTl9+jRarRZra2t69OhBWloaP//8M2ULDOaWG0FM8/X1ZcSIEWRmZrJ7925u3bpF3bp1CQkJEYVQZ2dnfvjhB6ysrNiwYQM3b94Us0YKLFmyhLJly7Jhwwa2bNnC/PnzzYqwL+NWnpqaSosWLXBwcODu3bskJCRQq1YtEhISuHfvnngM3xSE+0qpUqUYNmwY1apVo2fPnsTGxhIXF8fVq1fp378/Dx8+zOVamJqayk6DEAcFOeYL7+LmgiII/0S5Mp4DmSZik1u21aFR1mFBnHTDOHaiYMVpKmoKuoWpBaOp+7dAfqJbYS0MDQVUG0jWwfqLMPavnNVBc6CckPDYNO6hoQVmfhm7zQmbpuM03fZPQkmbi8toKJ7klYG8sIJsfmUKwFTc1FiCwsY4RqRco0GerRRZaoyTbMnVOSKnKN4mk9uC08QSU1yHybK5fbOB2w9h1Z+w6wiEGoS+rVAKHobk3q9hPWHCUKjYA6qUhdsb9etjUyFXXkQ5Yqb0C7ehYV/o3gZ+nQenr0HrpuDoAXHxULExqLOFM4VC76ZuiIUFDBtlwerlxsepVXsLZHILNu5zELOkC5aYpqiRY2PiGm6IaR05GjE2J0AqjuLys2z39FScUCM3+p6KEw+oSAb6e20m9sQE+0KWTP+7uejv+0VKRONknYYLiYDeYtNCpcDVKg1rFOJY7clAjRwlNsjRiJacwv5YoxBd2wWrziRcKEUIAGV5TFuOUPLZ/9g77/gm6v+PP9OkSZNOKLTsvTfKUBAQRFGZIgKCCxe4UEFQwYH6FRQE9wJFUXGwh4CyZIMyZRQZhbIKLXS3SZMmze+Pu8/lk2tS0B8gal6PRx+53H3uc5+7XK65573e73c6zANOqDuYBt5UWHASNmbD5FRoFgEuL5wsglYWiC+Gq8JgWxG0M0KYEdLdYPOCxQ1VvVAf3+VNn8s43ASPG2BBETxjgc4GaB4GpmLls17k9l+nNNh500038c4779CoUSP69etHz549uffee4O2DymkkEKS710NBgO1a9fmhhtuICcnh127dnHTTTeRmZlJq1attBRTTqeTn376iYEDB9K6dWvNBGM2m6lVqxZly5bF6/VSUFDAd999x4oVK5gzZw6PPvoovXv3pqioiB49enDq1Cm+/PJLpk6ditFoJDk52W9sHo+HgoIC9u7dS/v27alTpw4Oh4MxY8YQHR1NRkYGKSkpJCcn8+OPPwLw8MMPU7FiReLi4nC73dxxxx1Ur1494L7/G3nLxVYIcl5ZCkHOK0yfffYZDz300CUNF/4nye1289BDD/HUU09htVoxm83Y7XYGDBhAzZo1sdvtVKpUiWeffdavAjnAzp07GTJkCImJiSxfvtxvWbNmzdi9ezeghOHu37+fEydOcOedd7Jhw4YS43j11Vd58cUXtffFxcUUFhZy5syZgJUFnU4nU6dOJS0tjcmTJ1NYWMjixYs5efIkjzzyCDExMXTo0IElS5Ywd+5c+vbtG3D/9+/fz7x584iIiMBoNBIREUGZMmWoWrUqzZo10/KuCh08eJB27doxevRowsLCqFOnDpGRkSQnJxMfH8/x48dxuVx07NiRdu3aXTQHoNfrpUOHDuTm5vod72D9r1y5khtvvBGA+Ph4MjIymDhxIlOnTuXw4cOcPXu2RMXI4uJivv/+ewYPHgwogPm9997j7NmzDBs2jG3btvlBapvNxvjx46lQoQIDBw4sMV5QclROmzaNd955xy/HrdzuwIEDPPvss7z66qs0a9bsvMeiUaNG7N+/P+B3OCkpiQceeIAtW7b4za9evbq2/TVr1tC1a1f+97//8fTTT2OxWLjppptYu3Yt/fv3Z9q0aWzatElzekdGRtKyZUtuuOEGunbtelELBokE70K1atXiyJEjPPbYY9jtdkaMGEH9+vUvevqFvyqRm6p///5+eTffeustAM6dO0eDBg0YPHgwycnJNGnSBLfbzRQUY2QgsCm4TqBQdMF4rLr5MQHglT7/plVqU1aubC4b2EWKV312gGAwLxhY0xfiOV9ex9Lgm8RunlkBiWXg5dU+ePv27fDULbr2Yrv6gkeBxl8akD1fXk59sSL9OsFySAbrM1iIuJuSADlYegHdmAtifE4xPYyU3Zh+XajtAi3X9wGUcG/6hboLoOnE5+QM4A4skU5Ap9Nn4cPvYPT9kJMH1W4KOPSA6tYOzmVDk5qKk/n5B6GaiPwLVkxKkqEujHkUXn8myHhNSqj8Y8/DJ19At67g8UKLFlBsgFq14O6HzXi9XrKyYNUaIw/297cDduhmJjnJTcv2Fq5qZ6Z+qyiMRqhRP5zoWD3AVMLCi4q8hIcbcKsHTIR9+4bl0ZyUqSg77MGEETfpJGptHdg4QVWcKoDcg/J/x6XiyiRXQ2Vdt4loWx4ZmfFERWVRtGQVhh1bsZaPxuQqICzrHPbf9lNv/F2Ua10TMy5s2DW4KuTEXCJnpw2lirsYr5hfh2RasJM6JFPz7GlYpPSRlgRTf4LFJ2F8ZeiqXsfuPwyNwuGZRCAX5VzTff+K3HAuH5I8cAA4BnwLDAbux3fZsJrgkAHaFUEbAwy1wZAC2BELDdRzXYTDL9Nd4/TA02AwcPjwYWrXrk1RUREtW7Zkx44dfsaCw4cPk5eXh81mo27duv/6fP8hhRTShWn37t00b96cmJgYcnNzAahbty6vvvoqAwYMwOv1lrheHDp0iDNnzmA0GjGbzTidTo4cOcL27dt59913mTx5Mn369KFWrVps3bqVJ554gnfffRe73U7dunWpUqUKXq+XPXv2sGrVKtLT05kwYcJF2Z+0tDQOHz7Mtm3btGjS1atXk5+fz7fffsuAAQPIz8//V/GWSyHBpHYT2ABxMZUHNCMEOUvTvwZyrl69mo4dO17R+R2dTicGg0HL4ZiRkUFWVha5ubns2bOHlJQUypYty9ChQ4mI+DOVCP7dGjJkCJMnT6Zs2bIllnm9Xnr16kX58uVJTEwkISGBuLg4qlSpQt++fcnPz/drb7fbsVqtnDhxgrlz5/Lkk0+WeDIHsHfvXqpWrUqHDh148skn/19JpMVX7GIAxcLCQrKysjh+/Djr16/H6/ViNpuJi4ujYcOGZGZm0rZtWz788ENWrFhBu3btaNGiBeXLl8dms7Fz506Sk5OZPHky06dPZ8iQIX9pHCtWrCAsLIyCggLS09OZO3cunTt3ZuDAgdx5553YbDY6duzIokWLNDfl5s2b6dixI1arlTVr1vDAAw+wcuVKVq1axZQpU9i/f79WjfyXX36hT58+5Obm0r9/f2bNmoXRaMTj8fDqq68yduzYgDcc4hhv2LCBhIQE6taty8yZM7nrrru0NgUFBQHzdbrdbu6//36+/vprzb3brFkzcnJyOHZMCdG7//776du3L927dw96bDZs2ODnpC0sLMRiKWn3+u2335g8eTJz5syhuLiYefPmcdttt/m1WbduHRMnTmTDhg3k5ORw4MABateuTXZ2dgkILPTFF19on+v/5/KemZmJ2Wzm9ttv93tI0LJlS61o0aBBg2jVqtVf3salVH5+PmvXrmXq1KnMmTOnBIh9wWDgdWAqIGNhATP/DNwEX2h6UQCAaI0oGY4pN4uWQ9YTpQUiR76+6JAeEur/XfzZf4Oyi1HvkJQrbasyvOSbblMZHr8O7u4srac/3fWhz3JhGnlbwaqpCzkDtAl0bILtv4mSlcCDtZPHCwrwDJaPU8oxKhet0VfkDuYINOloqhFPQCegNi1ZE4V70+IsCTtNgfZVH6KuX15KftP9KdDoFrjuatiwHapWUmCiATh5xtcuygZ7FykgtGF1xWmZGA9hXugwBMqXgWOnoXsHeHIQPDYBmtaDuW+rHQRyIKvj2n8UGnUCb3rJAkFmlVPmZECvIbB+owI4589X3Jvi8/BIYYYuo8/JuH+Pmy7NlAPzyZwY2ncN5/B+N/O+KWLulw6Gjy/LudMeNvystOnSO4pBj0QSn1D6F86jO6jyZyuAYzR5GPFo8FOcE0k00uBnEo209Sy4tPdmnBiKnKzq9Ca1Nn2BETc2HDizctlXbxDuc3n08X6nelKVD1vv5Az3Osndc4LTi3diP3KGorM5NBnekZiq0ZzedISavZpSGF+FSpwmkTSuZw1VVRtn5XUZ5O2Enavhox3ww0nwiihIN4w7BRPOQGZdiCzEr3o6KNdEt1sBlLnquVgTGK02m4hyKpQBVoZBTSnA6bgBXvPAQ+GQWgytvVBDzfcJsEwXyj5A/Z/YpEkT9uzZo/1mGDFiBOXKlSMqKoqCggJ27txJ06ZNiY6OZt++fSxfvhyDwaBFCLRv357yJezGIYUU0n9J3bp1034fX2ycMnv2bHJycjh79izHjh3jjTfe0HLxL1u2jFtvvZWVK1dqhoeLrbS0NJKTkzl+/Lh2X2e320NQrRSFIOeVpX8N5HzwwQcxGo1kZGRwww03MGTIkIBg4e/ULbfcQq9evXA4HISHh1OmTBni4+OJjY2lXr16QaHFf12lQU69PB4PmzZtYtasWXzwwQcllnft2lWrpvlvkcfjITs7m71793Lw4EGcTicLFizAarXy6aefsm3bNiZOnEhGRgb169enbdu2LF++nJtvvpnhw4f7hRyLJ4unTp0iOzubrVu3cu211wJK3k+v10t2djY2mw2bzUZ2djb5+fmEhYURHR1NVlYWSUlJ5OXlsX79evr06aMVWkpMTOTs2bMUFhayZcsWrr/+el544QX69OnD77//ztGjR7UfCQ0bNuSPP/4AlETfq1atYujQoRgMBjweDydPnqRNmzY8++yzdOrUibCwMMqUKVPCeVhYWEinTp2oXLky8+YpcbSrVq2iS5cuQY/n2bNnSUhIoE6dOhw+fJjs7GwtP2x+fj5PP/00q1at4siRIyXWFZW8hXr06MHixYtLtEtISCgRln7zzTeXKPQ1Z84cli5dyrZt24iLi9OquwuJ65+QGLPQ5MmTGTlyJDfddFOJEP/zqV69ehw6dKjEfJPJxKJFiyhbtiyNGzcu4Sa+kpSWlsbvv//ul07CArRCMRXtUeedVF9z1ddAKQPFt8QUYB74QtSFAoWqC8Dp0M0Xzs+y4qOUL3Xx0nuxXICn0qqRA7jh9V+hnAWGyjbV0vJhAun5kDjFN7tDNaWYkF0ivsM7wbt34h92HiwHqDy2C3DqleqiDFAsya9Pfb/nc3bqt2OkZB/yfsluTj0AVtdzW3zFbERlbgCPdG0QoEsALBmEyRWwLSqVFZBTBpwWZ8lwaaNbgptChdJYBdyUoW0gyGlCO9YeE5hqlthUUO1YDGagZiWwxfj633cY2g+Cc7/Bqx/AvOVgNsGo++G3PbBkHdSsohQgCguD1DSlYFX1yhAbDZt3wtXN4M6+MOA2BXLmxZqxOF1+AHPbTgM3tHby0wq4rkOYH9QUCvRZnM0J5489Hq6+ruRDZhlMejAqxQSTPaxY4ODXNYVE2AyMfDWK2g3CS7QHpdCP/LkKWXBSXOwlIqyI0yc9zJ7hpNMtEdRqbsPjhqIiL8UmC2mWahQblPWOUkNd10UKNXBjxOh1MyX+LaIaVMRLGNFX1aDgnIPaz95K2Wa1sRiVc0h2Z2anZPNbjzcpOJJGscNFwxd6sv9/i2k08gZs8TZq3d2a4kI3+z7eQJk65TCVi6Ni7Qgs2elc1TifV1qtIifVQdlyBl4f4KVFGBzaAXeth2XtYMNxKG+ELBe8chruLgtfJeKfJkE9nR2FCuQUjvBc/B8wRQCbUa7Vr6E8q/gdqGICgxF2GaBLISyOgG7q9UDO+Qn+wPMEsL5XL6pWrcoTTzxB/fr1ASWaKi8vD4PBwIIFCxg6dCht27YlLi6Ovn370qZNG3r27Mnw4cPZuXNnifMkpJBC+u8oMzOT+HglwcalxCkbN25k/fr1GI1GFi5cyMaNGzUn+uVQcXExL7zwAhMmTAhBtVIUgpxXlv41kFN8yAcPHuTJJ59kx44dxMTE8Pzzz9OrV6+/FSDu2bOH9u3bk5eXF9TVFVJw3XfffUyZMuWCIGcwvf/++wwfPhy4tP+IrlStXbuWChUq0K9fP/bu3cuqVauYM2cOH3/8Mc888wxFRcrtRFJSEseOHSMvL4+CggJat27NlClTiIyMJD8/n7i4OBYsWMBTTz3FypUrmT59OsePHycuLk7L8aKX0Wikdu3ajBgxQnsYIcvtdrN8+XK8Xi/du3cnIyODKlWqkJmZSevWrVm8eDE1a9Zk9erVvPfeeyxcuFBbNyYmhoKCAoqLizWg+MADD5CYmMjrr7+utZs3bx4zZszgxx9/5M033+SZZ54hmAoKCoiKisJsNhMVFeUXAr9jxw6uvlop8VtYWMjRo0cpX748O3bsoGvXrrz22muMGzeO4uKSripZsqu3W7du/PzzzzidzoA5eMPDw3G73VSrVk1zlAoJqL9t2zZsNhuHDh1i2bJlJCUllegnISGB33//nQoVKpQ6Nr2effZZfvzxRxISEvjtt9+w2+3askaNGvHuu+/SpUuXKzKUr3v37ixduvS87TJU5nBIvSnOC9BGYIkY3XtZ4VKbaImThKunvAillN2eovCQqDYst5eXE4svbF2+FMbiS2InAKBULMbwpq/pgjugVx24/0f4cg8XpDAD9GwAH/SByvFgkJ2mehYkA0jxby6YYzIQkJTHXhpoDNRebne+HKTnWSYXIXIF2K7TYi7VQSnyZerhmgBrAoDpQ4H1EnkUjbqkkmLbovp7IBk8KEmbtEHpGqgVrwEt1yXgB453nYQJH8DcZRAgKj6o+t0CJ1IhLhbCw8HhUMDlmi1QvxYk/YjmuE1NgydfVZyghU6leNDg3vDEw2qhLjU1wOczIboc9O6rODbtkb5jLI6rHRsejPy2Op9xIwtZuTMaDyY8GIkmr1QnrVyQR99ODziFZHdtbnYx776cyxfvKY8wvl5ZlvY3WPza6127Wli7x4nVWERhoZeZUwtZsbiItNRi7nnMislixOP2kuWM5GhSIStn59LxtmiGfHat1o9DLVrkxEIe0ZwpLkeB20gG8dr/lLxdR9hw6ySKC4uwVosnoWtTDk9eAkDTjx6k+PQZTi3+nexdJ6j1QHsS6sVRoX1N9k3bSmzLGljjrUQ1rUFhei54vbj2HMRiKOTeh8JpGH2S1n/shV2wbhYMWQUja8NbB+BIS/zz2MqwXXUVFzkVIFnkUWBnrrZf/mli5bQgGcAwoDmKw3ObAcaY4DrpX6j4+gnYKa6/K6Sv2xFgDJCRkYHBYKBz587s2LEj4P8zr9fLCy+8wIIFC3j99dcZMGAA2dnZV1xu6pBCCunyKC8vjwkTJjB+/Pi/eyiXXG+99RajRo0KQbVSJJjUfi4P5GxICHKWpn8d5BQqKChgzJgxvPfeezRv3pyTJ0/SsmVLJkyYcNnDK4uLi8nKymLHjh18//33NG3aFIvFwu23305Cgj7ZWkh63XPPPXzwwQehL/GfVHFxMQcOHKB9+/ZkZWVx8803s3v3bjp37kybNm04fPgwJpOJ9PR0unbtyqJFizh69CiPPfYY9957Lzt37uTdd99l7ty5VK9enYMHDwJKoupp06YFhcWTJk3SIGJxcTFjxozhzTcV0nL99dcTERHBTz/9xNq1a+nYsWPQsYeFhbFhwwZatGhBVFQU06ZN4+GHH9baDBs2jDJlyvDMM89oT1KFhAP1+uuvJyMjg27dujFy5MgLftiRnp7ORx99xLhx4/zm33jjjaxcuZI777yTb7/9lgMHDtCgQQPat29PpUqVmD17NmfOnPGruh5IXq+X6667jk2bNlFcXFxqKoNmzZoxbNgwsrOzGTNmjDY/KSmJZs2aMWrUKIYMGUJcXBz79u3j7bffZvHixVpoSc2aNYmNjcVut3Pw4EEeffRRPvzwwws6DoF08OBBUlJS/N2RFgsej4eYmBgSEhKYPHkyt95661/exsXQ+vXrg55fsioZ4bMwuN7sK/6TmekLmxSZPYWrSF8MQz8PAjs8rSbfTbeAmAGLDVnwhRQTYHkkPpgo5++MxQc/dU5PGXQGkgWFgS0cDJ1rQ7Q8Lo8CqLCAQZh246UVxas4GOcpTuPXRhpjwIrdpT0P1Dsw9eMQCgRNpbGJkGdPKSDUafG5AT1GY0BIKeCVEU9QKKlsx9ePtlwqGiRLhqTCtSnn2wxUdT1gVXjZtSlgZz5Bj8ln8+ChV/3HEh2lAEubFU6mUkK9boQfV0GntrDvAHz7NtwgsnbogbbeAVvoW55fCK1vAbwwfx7UrKlAZbH/TouZPGO0ulsloaUIvx55XzZnTxaRnurhpakJXH2d1W+d6ACPMuRK6SIfpvhc3QG2pbRVBi4ct3k5xSz4tpDMdA+52cUsnlmAq9DLrN8qUL2BrcSYzep6Nhy4MGPHhg07dQ0neerNcgwaXQELLm29DcuyGX7raV7+vAI33ZdIblgZbZ8PUwe304PLEkWBJ4JjO7M5uv4UhS4jkQ0qk9i1MVitFIVFYMVOfnYR4SYDMVHFLOswkQpdG7F3nJJks9WYTpzacJI2H95JTJNq2rER4fWJpBFNHlU5QT0O0NG+AcsGdad2QeYuKFMIBicK0CzAP/2FGx/o9PhC1nMLfE1yUUBnEco1NpCb3gkMAkYB3dUFJpP/g6Jgldx/dMOLwFvAHervmW3btvH+++8zY8aMgJ+3yCdev359+vfvz+OPPx76HR9SSCH96xWCnOdXCHJeWfrXQk695EInoBQl+fTTT/1y9V1OpaWlMX36dKZOnUqXLl145ZVXqFKlyt8ylitdIcj515SRkaFBvaZNmxIWFsbBgweJjIykqKiIRo0akZ6ezl133YXdbicpKYklS5YQFxdHdnY2N954I61ataJBgwbce++9mEwm3G434eHhNGrUiLNnz5Kamsr8+fPp06dPqWMZMmQICQkJ9OzZk3bt2pGens4DDzxApUqVyM3NZfPmzXi9XmrUqMGuXbsIDw+nRYsW2O12jEYjZcqUIT09naSkJAoKCkr0//XXXzNgwADMZjN9+/Zl3rx57Nmzh4YNG2IwGC6ay3Dv3r00bdqUP/74QwtvMxgMVKtWjYiICJYuXXrB4SNer5cJEyawevVqPvnkE+rUqfOnxmIwGEhPTy+RF0y4TXv06EHLli0pLi5m7969LFy4kJEjRzJ58mRSUlKCVlD8M/r111/p2rVridy3QgsWLKBXr14XrcDVheozg4EdwMd/Yp20ayEhTZ1WMxGkqMsEDgkWqg7KTXgg6KmfJ9azRkCMDBP1gDISH8gLxFdkYCDgo4CCKvws9z1kFIEpDHrWhnl3qstloCoGKLYrQ4hg25chqj5/ZYA8ldoyObOBHnhGUjJfpnwMYqVlekiWjy8ENl5qh66dNM+p9icX8/GYTBpAE+5KvfNOQK1AgE3OeSi7MOWwcmNJlqkBVv1Y9ODTVlDsDzHRTcufmWyBk4u9BDKNRqB9Hut3wvWDofO18PMPirMS4I/T0PBq/9W++wTuHAbmcPj5O7i+HeTmwomT0Lie2kiCp071vBG5M+W8pfo8mXXjC/h4honreyj5k134XJF2bLgwY8WufR52rFpFdAEOXVjIzXRzT7MkYssa+WhLI2JsxSWcszJEFJ+x3vkpA1AxX57n1tyivvPDjg1zYQ5Zjgi6lt1PmfJGetwTy7BXyuONjCKaPA2mijGYip24wyxcZdjP9C21aNLWRkGxlWljTlAuMQy8EFbsJmmrnUk/VCKbOLxeL0n7wzhxxsykWzfhdnro+vZNxLaoTqV21XCao8knWnO6GvFgxknqkl1s6PFOidPhyZOPY6hcWYOuYn8AsokDIIF0bNipQQp1OExTNflHze2nYRewDcVu6cF3/sn/ukWoegbgLunmFJ+QulgDnSbdK5TMlSwULkFP8AefGW5YWQyjimATsEOd3yM/n4EDBwZMMwMwfvx4xo4dCygV2mvUqEFiYiJ33HEHTZsGKl0XUkghhfTPVwhynl+CSR3i8kDOuoQgZ2n6z0BOQEveO2PGDC1fY9WqVXn++ed55JFHLsdwA+rEiRM89thj9OnTRytwk5WVRVxc3GWHA1ei7r33Xt59910t4XJI/z95vV7y8/MJDw/n7NmzFBcXExMTQ2RkJF6vN2g6BZfLxcmTJwNCvP/PZUSMx2q1aiHxweTxeLRw96ysLIYPH87hw4dZuXIlW7ZsoWvXrtSuXZv8/Hzy8/O14jkXU2fPnmXMmDHs3r2b6dOn89JLLzFv3jxSU1OpWLHi+TvQyeFwcO+993L33XfTs2fPC15PFEH4/PPPefrpp3n22WcZOXIkM2fO5M0332T06NEB10tJSaFmzZpBw+P/qoqKinj99ddZtmwZHo+H7du3A1CxYkWeeOIJ2rVrR6dOnS7a9gLpM+l66QWE7zcMGFEJNuXB8SI464LHaiivX5+EMiZoHgW/qLw4TU1FKlyc+hyasoK5OSGw80hfgV12TYbH47N+CqgnAF0M/iHHMlwUYEuX79LwtZKz5/fH1fmyC1QPJ2XwKfoJ5JZEaif3I+9kVV3bSmjUwq1CSAH77JFhWJzFWh5JPQjLizWXgH1yiLJwTbqMZswe4XZU2mdbyvjltJTdeQJQiXnK7voDTLN0wAPlzPQbk1olW5a8HdmtGbBIUA7+btZAzlJ3gPlufOeFlONQWybm+walSA7rj4Bl62HZWhg2CGwRUKOq0vbJcfDHIdjyuwIwZV13DRw7AQtnQgsd39E7Yz0m/0JMejcs+I6rAxsNradp0trC9+vK+zlmhZNQhp6K81LJeSlApwCPALOe38OBrXmM/6kxJpMyBpv0rRbg0oyrxDyr6rCUJYepi2VmXNq0DD8FWBTLvxh1gIpVjdw2vJJ2fpglyOrxeJn34VmMRuj9WEWOJxcxbfRRutxZlm79YrTj4MGk5tc0s22rgTfuO8LwzxtSGBXPxvkZtBt9DRmWylpF9jyicGHRzumilFRW3vg2HabdietMJhWblaN2I4vWt0O9etmxafuQR7QGOY14iCaPOLJpxyYAGpHENUd3wa8ooPM4vvPTjb9D3YkPfOYrkFOEk7vdSm5OO75rr4OSD5ICgU7QXW8lBz2A2ws7gYdd8EE4tEV5CHSoEGYA2cC1KM+cBgT5XZOVlUXZsmWpXLkyaWlpuNXvdbCihiGFFFJI/3SFIOf5FYKcV5b+U5BTr2+//ZZvv/2WNWvWYDQa6dGjB/Xq1eOVV17B6/XSpUsX2rRpQ9++falQoQJVq+rv3C6e5IIlY8aM0fJ7zJ07l+TkZAYNGuRXUOW/pIuRkzOki6f8/HytWntmpq9Ei8fj+VvzMm7fvr1EKopLWXlwzpw53HHHHQwePJgJEyaUuD5s3bqV7OxsOnfujClA4QtQ/jmtXr2aRx55hNTUVLxeb4mcpcGUlJRE48aNtfc333wz9evXZ9y4cUFBcVpaGlOmTGH+/PnMnz+fxo0bk5uby5NPPkm3bt0YOHDghe18Kfrkk09KfWgUHR1NbGws27dvv2hhfh8bDNpN7lXqq2w6iwAGG+EaIzQCzhVDb4lHDQUeVacFmEyUcjE6VEgkzvYiSoLPQJBTyKp7lduXVaGeVc64UBYfjBTuR9nhKTtAZRWC4Uv/Wd5h0hu5GnugadEmEEgT0kNNub34CqiANrehDw7ZjVa/kG699O44fci31k76fghAKQNIAWfk8GK/UHJ12oYvt2ww6YsCWUoktvRJD1j1EvkzDZ4g4eUyiAwUui/PDwafdZWkA7o3gzltA1yiNmyHDrcF3lTWOUhNhWuvg4wTajfSdnyFl8JwWGzqMPydsDIMFIBQtBn3cDprfrSzJrVGCUehPpTciUWDecruKANJOeBi2sO7aNW7AjePaACUDFOf9UYKM59XUrEk1LIwZWs74sv6fhbrgbfI8enETDR5ONRxCcgaKOcmKFDWhp2s3DDui/2JF5a1ov3NURhx+1y/ePBgZPrLJ/EYjETFmegxrCIrv88i61geFlsYt42qRTR52vGyY+O5637juXktiE6wco5ynKAqHoykqUl8XX4gWamorrhIlflxZGnQV3wv7NjIIxoPRrKJw4ORVCpxjnjiyPY7liY8tOFX6nOQbp6fiVnkUpycJ/C5OOVz0Im/uzNHmRbFh0wmdRpfmhC9m/7PujmdXij0wmNeWOaFZAtUVJe53PCCG9p5oIW63m6pj0Cw0+l0hvLrhxRSSP8ZhSDn+SWY1FEjxFxij1quF2p6QpCzNP2nISfAp59+yrhx45gzZw69evUiJSVF60cUNXniiSfYs2cPZcuW5auvviIiIlgFhP+/vF4vhw8f5uOPP+btt9/WQoS//fZbOnfuTEFBAXFxcQwYMIAjR46wcePGv+Qe+yfpz1RXD+nySFQglxUodPpyqrCwkDp16nDqlOK/MxgMOByOv+VGZObMmSVSYSQnJ1OrVi1AeagxatQopkyZwocffkjFihW57bbb8Hq9l8y9LSDwjTfeSIcOHbDb7cyaNYsyZcporktQqqoPGjSIF154oQRwzc/Pp6ioiDNnzlC+fPmAOU69Xi+rV6/mhhtuYPfu3TRv3jzomBo2bMjevXv/Mhz/WDpWzfC/wc0DbtSvAHwITEMxGgkNAQJl7xRQUvDHOrr54r5drgIs5AgwX6wnvD5WacB+lzeR0lWGnfqK6hb/eVtOwfjNsDgZ1vSHTjXxDwkPVEUc/EPdTQGWo64bKBzdBE4XWOqr81S4ea5JlAaewAcjLZJTTgZc+vdW7H6wSL+OLNmJKbv4hMx+2ywZgi73LYPV0nJk6peZAlTlseiyagiwaZA3LRX+cUuXKQELDXIuTTk9gZTD0n8gUpuSWT2U5aVVogd+XA7nzsKIcZClOu+eGgZjnwdroi+0fMQjLpb/BNOmKxXMxXyX0R9WavskVRb3+ME/H6wTjkex/JZaR2l7cywjP6qOC7MGDWUXp7wdPSj94qHfOJ2Uw4sbO5fYtuzSLfYUc79pDgDxNWxkpNgJMxoo9nh5ftONtLw2Ql3fqJ2fHkwlnJt2bFhwYsdGNHkamBXg0ImZ/esz+WzwRqYeaIvFqoS4v/1YCn1fqEvZihHYsWFyOyg0RjIobCHfFXXHqLpPV884RdrBXEwRJpxn84iuFkex0UT2kWz6vd8e8IWTp5PAOcppzkwBlS04cWLxczgDxJGNGScuLNjVK1UG5XBhJos40kn0e6gQR7bfsaxEKreylO4spdzifNgCHMXnPhbno+zsFLAzFw165hZIhYJUN6ccri4kAOdZoA3+CgOKUYDlLqA+SkaLU8ALwHCjAlJ3F8OvBjjrhVZh0DcCMnOU7WUA+6U+g7k6QwoppJD+CwpBzvMrBDmvLJWSav+fpSNHjhAWFkadOnX48ccfueOOOy4IFpw8eZJBgwZx3XXXAQpQC8Z9jxw5wrvvvkthYSHdunWjVatWQR1awXT69GnGjBnDkiVLKCws5KabbqJDhw7MmDGDnTt3UlRURN26dZkyZQovv/wybdq04eDBgwwaNAhQqgUvW7ZMq958oa6vkEK6mCpfvjxer1fLdXv99df/rYATICIigpMnT1JYWKi9vxz69ttvGTx4MJ07d+bo0aNcd911FBYWUlhYyIYNG3j99df55ZdfqF27NldffTUxMTGUL1+eHj16kJeXR1SUL1HhxQacXq+X9evX88MPPwBw9OhRtm7dSnp6Op999hnHjx8H4O2332bVqlX8+OOPHDx4kHHjxjFu3Di2bt1Kq1at8Hq9FBUVER1dMgDDbrdjtVqZPn06N998M5UqVaJ+/fqsW7eOjh074vV6yc3N5eDBg4wfP56zZ89y+vRpkpOT2b9/P5mZmRdcEErofek4XSXNl6N5g12ZHwPuQXFvRkvt9EhLdmueVF8z1FeRPbmhunJluQCQqlz1pl4reOEOHvYeHamEa4ZHokDMApRK6iKkU0yX9Q34XDGsOwBPrIfb6sKHu5T5jlcgQj2l7C6wmfEHWwXStFxdG6mdEwVsWlAOjBH/6uZifyPB6wRqgVsFrttiWpCT6ebm+L0ANLs5kZfm1iTCZuQc8ZRTj6I8LZxhGcQTTwZZ6UXkOC0kVLUQRzbR5HFL/VNUqB7OlhUOluxJoELjsqxdlE/+mXzuH6pzgaqOOChZGVtZpsJKCXp6MIIRzE4f/JLhpdENOF14TP6ORVMgmAgl4GSJb7Z8srp9k7LL0y2lDjC6waNOe2L9IaoGUGXHnPwFkD5/uXK8HFJ+IhnueRQOH4Ez6b75n30E7doqlc3taph5+0YFXH2NiR3HlZMiz+8Y+8L25fB92cEZKJ+pkHBkZmd7yc8tZshbdbBr65r8QGag0HSXBNcHTuvEtNtX8kTiIiakDfaD5A58YcUeo5Gp3ruZ0O4njm4+C4A10UzXxxrw1bCt/N6nOi67m8hYEzValyOqYiTx1aOIjAnDZCj22x+RLzSNBKLJVyChN5bDv5xi5xdbaXRTJSal9MAVVkTK72fZviiD5CNhrJ6bh9voon6nCGJqVeDo+rPUv6ESZ9zliDEV4cJMrXtr0AS7FrIvYGo2cWwnjmjyyCLO77iYkR8kuDXAKeC/yD0qfy/yiMaFRQOmGZRTHaA+uJxNnAZvlc/FQj7Ryve6Wr7i5BQVzTy6aSH980cThKvXJLfb36kpNfFTGfX1duA1I9zmgTMo5tAklAdLB9Q2fYCnzTDaBTM9MDEchpggyuDbZkyk4ia1upUHZ7koX6kfpP85IeAZUkghhRRSMJlMYLrEkNPkpfSUUiH9e5ycUVFR5Ofn06FDB9avX/+nQmedTif33HMPs2bNYsGCBfTu3bvU9keOHNHyEpYrV45t27YFLeLh9XoZN24cy5Yt49y5c2RkZJCbm8u2bdto0KABkZGRWo68AQMG0K1bN8xmM8eOHaNJkybs3LmTL7/8kquuuop58+axdetWoqKiqFq1KpGRwWIW/10KOTmvfB08eJB69eqdv+E/TBcSkubxePj66685cOAA3333HSkpKTzyyCN89dVX2O3KTaC4PrVq1Ypt27b95fydf0YHDhyge/fuTJ8+nQ4dOgQFqJMmTQqav/Pw4cN8+eWX/O9//wPQKrYDtGnTht9++w1QHrZ4PB4WLVrEk08+ydGjR/n222+58847tb769evH3Llztff3338/Q4cOpU0bvQ8nuGS4KVIA6m+CHSg3pqDc+Mp6FsXRkx5gmb4f4cIMHHzsWx6DUuEQoGElqYGwf8oOJn2HgqcFclVaoLAYrLvB0RUijOAuB2V+gHFt4JlNvm6ebgPPdYAEfdX1BGl7+uI7sjNU5Mqz4A9BZYn15LD6JuBU3++2NWF/XlXujVlGIBktRnp82o2W9zbFgZV9M3dTcOg0Hce05ciq4/zy0gZSd52jwxONyDicS8VGcbTsWZGlr+8hPDIcR4adx+e0o/DgSb4de5Adq5UA1kf/V56nx1rUIfpAFygOM+HaNOtcpIFcnWaPK2DeTLmSecDPUX5fWqi/kN4ZK5F57wU8txRwUgauJhlw6repfvZuixI+rqyr5DU1ejwUF3tZt6KI23v7oLysh4ZAi2awdBXkFBhxOLz8tNkHCd0Yg1YhDwQ3ZSgpg0unCtFcmLHnuxlUcxdDJtamy5BqJVIHiH5kd6F/jk7f/PlPb+T37w/y2um7S7g+hSvTgxFXQRGT6n+NF8hLs1O2dhz1bq3FjSMbE1U5Fpe9iKxjeWSnOihIOYczv4hCrwWTx4WzEGzxEZjLWCl0h+PNzMZeGKaAxjA38Y0TqNmlBpw6RUZyDlu/SCKuZU2ufrod5vxMcl1WTLZw3o4aT43rq5Gy5jgTvE9px8WBlSgVaOYRjQUXeURjx+oX7i72zY4NM04tDF24OEXKBuHktOoevQiweYKqZBCPGyMZKA+h7CgpJ+QiSyL03YiHSqQylE/p4FlPzGfq920/Stg6+KdT0OeRLcBnofQojkrwfzgkrrnhlAxP1xcZyvRAchjkecHlhbJeOGeApR5YWwzvhkO3ACmpizyQV6g4SPOkbYpUJeJ/Swh0hhRSSP8lhZyc55dgUicsl8fJWdUZcnKWpn8N5Jw/fz69e/emY8eOJCQk8N133/kV1cjPz/dzTF2Itm/fjsVioXHjxhgMBm655RYGDhxI//79iY2NZfr06SQkJNChQweWL19OeHg4t956K+np6bRp04Zjx45Ro0YNUlJS2L17t1Z5MVhI6rFjx7DZbHg8HpKSkjCZTDidTubMmcOnn36Kw+HAatXX9P33a8iQIUyaNOlPu71CCunPKicnh3bt2pGUlKTNa9WqFc2aNeP++++nefPmAa8jBoOBtm3b0rlzZ1atWkVycjKZmZlER0djNBrJzs4GFBh49uxZypQpU6KPoqIiwsLCLqo7e+7cuUyaNIknn3zSDzjK6tq1K7/88gt2uz0o0D158mSJnKOvvfYaL7zwAgAtW7bk1KlTnD2ruKDGjh2rgdFjx46xZs0aYmNjue02JcFfuXLlSEtL+1Nh6gJw6uvXiptdcfMp3xD/BHypa18NpR5GfRTY2QO4g8Ah53DhsFMei8ie3BBIFAPWVy+Xpd7w24thVibcVxky3VBtNxQUQ1JzaPS7/yoJNthyN9QUG5NzbIptCNipOkCLi+FcAZQrC2FhlMz7KSCE7PL0SNOx+KiCCnRzE5T/s3uyK9GpwjE87pI/KR71Tubz+BdxZtp5xPE63pxc1o36iSZ3N2Pr5I0c/fkITx9/hMRKYSwZvZH1U3bx4ol7+OqOn3n6p+uxxZqJI5s4sgCIJh+bK5P+rU9zYHcRI98qy5CRZfxAmpx7UxR3UeYrB8fmUeFPEKgpZAj0pFxfuTyYHTgQ0JbXlVIEeCOVauPy9uWq68JV6uci1acIDQBaZWjqMflDTrHvu3YVc1sPOHvO1zbCAo5D4g2MmwhOI4x+Q/kNos+pqWw+MIj0FRky+0FG0T5pm4Ntawv44JkzfrtjCAOv+rF0eagqD356FQaDQfUhlrxWiW05dctcmPmo/Wxq3VSDm19u7bfcgVWFdvklCgyZcZF1ys67Vd6ncodq3L/uLr/tuDFiUwsT2bFhKsgmN9ODwRiGJ7EiWcbyJJDGSWd5XD+v5dyGgyS2rU5s3XJUbhRNWZMC6vNVZ6YVB6YiO+5wG9/3W8Adc5RHMSJ83KHmyRTHUtk3377oHbJW7BrkNOPUcmiKz8CGHSt2XFi0XJ15RJNKJexY/cLVRRvx/ZFzm+ZJJRYe5DMAurKKa5bvUuLFj6JcbEWIuvwwBXznrZqbkwKgEBwFiqvS4Vaus+eDnIGqqAsVeXzLijyBX2WdLPCFyYvXTHVazuYbgp0hhRTSf0EhyHl+CSZ1xnZ5IGcFewhylqZ/DeQEGDVqFBMnTqRZs2YMGjQIi8VCbm4uR48eZeXKlTzwwANYLBa8Xi9jx449b9/33HMPX3/9NWFhYTz88MMUFxczdepUHnvsMdq1a6eFkIOSD9DtdhMVFcX777/P8OHDtYrJ4eHhVK5cmVq1aoWqpf8FhZycl09ut5uwsLC/tYDQlaRjx47x6KOPEhcXx4EDB9i+fTtDhw7lzTffxGAw8PrrrzNx4kQAFi5cyObNm5kwYQINGjTA4XCQkZHB22+/zZo1a/j555/JyMhg8eLF9OjRo8S2xKVYXCNKe6gxZ84c7rvvPl5++WUiIyO5++67OX36NAkJCcyZM4ddu3bx+++/c+jQIW6++WZmzJjB3r17/QoV/VnddtttLFiwQHtfuXJlTpw4gcFgYP369SQlJTFsmK/KTcuWLdm6dWvAlB5PPPEE77333gVtd0qQ0HQhATVzAywDeBul2G+g+TYgC6VCoaxgwNN9njZ6xiWuWCKXZ7MEfLZPXTaF/XZotN73PjIMhlWBb8/AaZcS7uwFUm6BylYw1VQbJuAPzaCkm9CEX4g54F9sxoK/i1TfhwAAKijwSpfi7LJWVmywMaBDBhciW+U4wsxG8o9mMCzjRcKjLZz9LYXK7atrjrQTG0/QpLWFSLNyROPIJl4NbU8kTR2Sh7On3YQZYenMPNYtzmPPb0625tfyc2kKEGfGpc234NLybxrdbj+AqOXDDF5jyKcLdXOKvgTYkV2cEpwWIf9yJXK5kjzgN25bQTEG2SksVU4XVeplQOq0+CrVi3mFhbBwIdx7v2+43bvC4s/BYPDtU6vesHo+2MqDPVJ1SRqNfoAzWEi6DB7lAkEAD1x7kKQtPmwUHgXdH0ykxS3lWD/rNEZLGOWqRbLx+3NkpRZRqWEMz63pUsK5KbtDhUR49Yo3dvHL2LXc/ctgKnasE3C8QiJXpwsLxZ5ippZ5maI8J12+H0TNAe0AX47NPKJJI4GqnNAclkp/Ju083fPeGjI2H6b7843p1CyLOLLVUPY8bDi0aYB0NRmvDBzFsUonQXNhZhCPGRfR5JFKRQ1kChemXQrFt6n10c3qkTfh8ct5q3wvPOQRpUHNNBKxY9P6E69yHlOAMmRjxoUdK9koDxmiyaM2h+nHXFqxjWbzD8IhFNhZgPJdMKJcS/LVjsR5WyD9FSopPNxuNU8nClwMx3fttUmr652csuSUIXI72bWsX08Umzul60v8n8kjBDtDCimk/45CkPP8CkHOK0v/GsjZuXNnVq9efUHr3HTTTTzwwAMMGDCg1HbvvfceTz75JBaLRcvz92fHdvToUQYNGkRSUhJxcXGaowsImvszmPQQ5L+iEOS8fHKLG+A/mWv2367vvvuO33//ndjYWFauXOl3rYmIiMDhcNCnTx/Gjx9Po0aNAHj44YexWCyYTCZmz57N7bffTu3atRk+fPgFb7eoqIjwcF8gtcfj4aeffqJHjx6MGzeOm2++mVOnTrF+/XreeecdOnbsSGZmJu3btyczM5NnnnmGNm3a4PV68Xq9/y94nZeXR3R0NKdOnaJKFSUrZffu3Vm8eLF2TbLb7X5pNCIiIujevTtz587lmWeeYdKkSRe8PQE3A4FN8PGkYHkuZQiZBYwFFTvAXGmZWD+YGS9Qf8EUbF3Rdw31tSGQ2AJ6JsOP/sWeKewDFvGRC6YQ6OsoDnOC9Crmye3ladnZGajfSAK6DEW/7kifE9Bl8eXnyyOaPKLJzvBwNrwipnAD82bl8NV9So3i8CgzcQ0rcOvPw5hRdgwDc98jPDpCc1eKMFoQ7jLlU4kji2iVhNThcAk3prKui+wMD53KJQOw4VQFEiuZtP4E0NFgp/P89NLiLNZckl5jgFB1CF78R5ZwrslpCYJ9NhL4lF2ddpvVz50qQ07hPjW6S0JZkXvTHumrbi7LiIff1zuItsCo52D7dsiVnhQc3Qc11DTLu3dAp/6QtQuIgoKYkueAyJGpDz0Hf9en7MIsLA6nq3ELxnCY8EtjslI9dL6jnLqOL4zdke9myQfH2bb0DPvX5/Odt49fOLpc4Er0rXgYrVhxMKXGJ3hcHoalPqs5EsG/UJEIwxZ9ArgLi5hhfRqAO489z6lDbtZ1Va5hg7Y/TnZuGMd/3Ev1RpE06lyOopr1iOccZdQcs1YcZK/fw+xJJxk0rhZ1r4rWCvbI3500ErFh12CiE7MWIi7GmkcUDmza+ezGqD0UkM8P2VUp+hMS64rvkVwQSayXQTnNxSmqqtuxaXluxXiiySOec1hwaVXcxbhqkkI9DlCfgzyY+TWGvcA8FCukgJgWlNB04exUdsRXiCjfBzmFmxMuzNEpJEBmkfS9LQ2GBlJmoS9UXUjk6RT/O0KwM6SQQvqn6dSpUzRq1Ijx48fTvHlz2rVrV+o9wmuvvcZLL70UgmqlSDCpczGXB3KWyw1BztL0r4Gcf+ZDXrp0KZMnTyYzM5MTJ06Qm5uL0+nUbtQLCwtJSEjA4XBQpUoVevbsecGuI1CKC1ksFg3KHT9+nKZNm/LWW29x++23c/DgQdq2bXtBsPL48eN06tSJxx57jFGjRjF48GC++eabCx7Lv0EhyBnSlShRQfyhhx5i6tSplC1blrS0ND8oqdfUqVM5ePAgkZGRZGZmMn78+IDFfPRyu92YTCYMBgMfffQRDz30UEAQnZmZSXy8L2liamoq586d01JlXCylpqZSuXJlv3ktW7bkueeeo3///mRlZeF0Orn99tvZtGkTiYmJnDp16oJC8ScaDNoNazDACYELBcnz9VAyG3gKxYHTFBgOrAOSUeBjLiXzdP6Z7QqF6+YHOhvElUxsryVgMMP2q/BBy0DAMtBABCBQP3ZPFBhFDTA536M88FjwFIOxnO+9X8WmGGlaKEBeR5fFB5TyiOLezmfYt9NNQY4vxrvR3Y2p1q46ZVrVpFwrJXe1DGVsfohAUZSKTQFqkoJVbaMgNH/Qmby3kJ++OMuMKUoSv33OypQ156vD92D2qCDV6fIL9fZcIOQIJHMh/g7KYJIBpzLokhKfkVimc3TKchvD/Cq8CzemWXoGK4CsCFN3RSgOTkBzhHow0iAxnwypwBCAzQZLl0P7pr48pP+bAu9/BjsXQ6VEdawRkFtWDZc2mnUuTX/4KJaJXJugQMWtq/MZe8MurrmtHGPnNvP7PaQPu9487wxv3L6b6s1sHNttZ673FlxYpAI8Vq2QkFMCraJi+xdVXyemZhk6fNSP+CYVtTGY8ODEgqhALm/bjJMyZOMtdDLROgEi4LHtdzO942xumtwZe0oG277Yz9PrbqVyZDYLPj3HyU0n2LkknUc/b0KLtuE0aVSMwWBg5jtn+XDkKbrcWY6x3yi+8SzitG2mUpHTVCKObM4RTwbliOecVtE8mnwNjEaTp8FYCy7teAs3p9h3UaVe/jyUdZza9wmU74gdm5Z/M51EsonDqVZZF5+jEZ9f1oOJcpxTj7pdg6tiOpE0rNgpQzZxZDOIb6l2OB0+QQlbFzmARXi6Pv2DCkKL1ErrRR7FWSnCxkWldT3gFArXzdBDzmCA0+32gVH5FSBF/Y458LlJRc5O/YO2vv/s26qQQgrpP6Dvv/++RBqrN954g5EjR2IymfB6vSQnJ7N582Z+//13GjVqxAMPPBCCaqUoBDmvLP0nIScorsjTp09TUFBAUlISX3/9NXFxcXTv3p2UlBRGjBgBQEJCAj///DMtWrT4f43z8OHDvPnmmzRs2BCj0YjBYODLL7+kevXqlC9fnrp162I2m3nqqacAxRaekZGB0+nkmmuuYfDgwURFRfHAAw/8KTfUv0GhnJwhXWn68MMPefzxx9myZQtt27Zl9+7dPP/88yxZsuSC1j948CAffvghAGaz+YK+08KJOXbsWEaOHOmX11NO29G0aVNiYmLYuHFjiT5+/fXXP1XopzTl5+ezYcMGRowYQVRUFFu3bgWgXr16bN++/U/nQAYFcAJcyAhLg5x68Cjyqu0DJgCTgDEB2j0AXEdwUBpoDOdzgMr30+G6+WnAc0ALYAbQrJq6UKQ/TVRfIwkMyHQqCgdXWTCbIFyQ1CCw1FkElih8hYREe7nSurquN9K/2I3Wh8WM3aikVMgnmhNpZrLOuYmrn8gpTwUKsot4pMJPANTpUZcOb3QloXGiX7iyqO4spgXErMoJDXQacfsVVzHjxOPxYiiwc03sUQA+XVSWXj096q76OzdLVEmXJPZHP780BczZ6ca/8I/ewem3Ubkz/B2zEWpVdXwwWRmnCYvTVzzJXOj/mYjwdpfFork9lbG6S+TzdAJRsfhpz1poUhe/E7nQDbba8PgQeO9/0jKTzymaUTZK+zxFfkvhpvR3Vlr98kcWesPpF6acG7O8Pf3GIgC21+tl1iuHWTjpCDPPdiTC5oN2DjUQWwanAnqKMHURwl7khq+avEeVzrXp+PEd0nZ8RXjs2DTgbsWhnZM27Dwf9g54of+MTmQkneP2p6pgjjCy4oNkoi1Oug+twNEduSTvzKfIWcy1N0eTeszN8f129my2s2lRlrbNpn2q8uDsrthNsSXyawqoqRxiXyEn4ZCUoSz4QLJIxeDBhAWnX65Qs/S9kR8omHFqoFjk3fRg0sLuBaBWKrQrbc0qQgYlhYQNO3FkE02e6vZUxlVOTS1hxIMTM51ZQ1P20PjLZCV0PRWfPVK4OWUVADn+kNPt9rk57SinYgzBAaeAk7KTM5DL83wymZRCRLn4HJx65RI4oiAEO0MKKaQrVeLB4qOPPkpUVBSff/45999/PyaTiePHj5OcnMzDDz9Mz549KVu2LPn5+X+Jt/yXpDGpMhBzibO+5RZDbFYIcpam/yzkDKTdu3czefJkvvrqKwD69+/Pgw8+SPv27bHZSoZ7/VnJBYdcLheHDh2icuXKxMXFaW3y8vI4ffo0P/zwA2PHjtWs46+99hr/+9//WL9+/UWDFP8UhSDnv0+nTp3SnIBpaWkYjcZL/vkWFxczYMAAvvnmm/NWTAfYuXMn11xzDb/++iuJiYlUqFCBCRMm8M0339CgQQPmzZuntc3KyqJs2bI4HA5OnTpFnTp1KCoq8nNbZmRkMHPmTPbu3cunn34KKAV6JkyYQGJiIsuXL6egoIBrr7026JgKCwvp3r07q1evplu3bhw+fJjkZCVMt2nTphw+fJjhw4cTFhbGd999R1FREadO+WcVO3DgAPXq1ftTx+5CNGbMGCZMmKC9X7lyJTfccMMFrTtRcnH9FcAJpTs5i1DyWWYCjwXp0wQ0B56mZDXfP8G//PrTS3YeuYGH1Pd3A13UacE1awANa6lv5Pyb+lNXqtTtLgJTGHjNYIhTlwuIGYNfHlCvVwV0shNUdpGKHVBhmDPW5wg0ut2ao9Bu9MErAZyyiCODcpw96aAgoRqPWGYD0PKx1nT5oJd6DHxhs6IKtKj4XIMUwFc0SCg/rYCVP2SzdPpZDvyurDttcRm6d/cQblBBni6kWyhQ4Z5A7w0enwtSBrqlQVB5HVBDx4W7MgL/Ik4yDJWrrEegfBbqZyRyaoLPwSkgp34s2TFRfqHWMqCzOu04HMUsXAB9e8Br4+Bt5fkKE56Fn9fCE0Pgth5gCFfGlpkFP6+GSBtc01IJVd+/joBfBG+kkpdV5IF0YFWrfvt+M4nCOS4sODHjwMb2Ral8N2oPV91Whf5vNPMD0wDfvriPjV+dZPC7V3F9nxgN+gmHoUtyiOqL8IgQa1nHfz3NwrsXYbQYGbpnqAY4XZj9CvSAD7Ka8BBPBme85Vny+HJ2LT5NbNkwcjKKaXSNhYgoI3c+U4mty/PACx+NPMFabxt1nGbS1dyWZpzkE02aw8ac/otJXpuKK0/5LB/wfqBtV1+BHvDLy2k8z5UomryAIeyyCxMUB6hHhcJmXKSrX/xzlMOhflYCwIo28rZtOIhHqVJVjgztYYQ+NYRIY1GDo9TnIE3ZwzVzdikV1/fgy9Gp5uCUDoTi5MxQQtXlnJrgg40y5NQDTAgeqq6X3rWpl0MNWRcwU76Oh1Oy6J38oC0EOkMKKaQrUbfffjtz5/qSNx0/fpyPP/6YrVu3smrVKrZt28bVV1+tLb+YvOXfqhDkvLIUgpwXqG3btnHVVVf9bQVZCgsLSU9P5+abb/ar/PxfUAhy/vslwrEvZf/6MPKqVasyePBgOnfuTFRUFK1bt9baBMpfecMNN7B69Wp27dpFs2bNANi/fz/Tp0/HYrHwxx9/+P1gkC+tHo8Hk8nEokWL6NWrFy+//DKvvPIKAFarFavVSu3atTU35Jw5c7j99pLB0ydOnKBatWrUqVOHQ4eU0sf5+fmluibPnj3Lk08+SX5+Pj/99BNFRcrtV4MGDbj77rt57rnngl7XioqKWLlyJVWrVqVJkyYcO3aM6tWrB93Wr7/+yjXXXKO9f/rpp5kyZUrAtuKhz4W4Ny8EMp4vXB3ABXyMEqYu9CJQBZ/hMZAj52LBTn3o+kKUm+chAdYTJacqA23VwVlF0aJq+AYcSLJzUJwasrMzkLvTQklXZyw+MBqpgE7wL2Aj52WUnXXnKMe1hl1a94361cVgMHB07SksMWYeOfR4CSgi4GYcWZQtPsfxQy7S0sPwuL3sXJtPdEQRfe+zUbGC2LU8XwEVj8sPasoyeYr9wOB5q6eDv00Xf4jpt568SZVeC5djIJeoFuYeKDWoVITIawzsngWfaxMgz+IrdqPXjvVZ9OpUTP2GYLFCZhqcPKksO7YDqqv5IJrUgz0/QXEYtLwFTEa47WYF7uz7A1o1gxcewb9gkrzvah5Rkf9TLsIjzgkB6k4cc/NS1+3knivio7SeYA7Xxr7w9d9Z9MI+5RBEm3hx+81UrmvT9k8fxq6v2i5yRgr3oVjPhZnUXWdZ8fw6alyTwM0vX12iWrh8Hgp3ouhLOCDF+1NpRj579gjFhS5iKkZiKx+Jp8jLvHH76Tm6Ln3ebC19JxQgm00cRjzae3duAWlJWcRc0xAjHjWwO04rTCTnDnVgJU7N8ymAo4CZyjwn2ZQhDp9j1Ka6UWWXp3h1YMWMizyi8WAkjUTyiNKcoi7Ns2nGU2zEHObSHK8CaIqCRdHkablzxUMKswRaRb7ORNJpyh4eOvs1rAWWoNBBEZ4u3M9ufLk5c3wV1mVYKSCnFeWaKgoPmUz+VdKFA1R2cpYGNPUV10Fpm+b2QU6k7cplAQOBTgjBzpBCCumfJ7PZjNfrxeVyaeasEOQ8v7RjVO4yQc5zIchZmkKQ8wJlMBgICwujR48e5Obm0qBBA44ePcrLL79M8+bNL4rTU9Z9993HjBkzuO6663jzzTcpKChg8eLFtG3blsGDB1/UbV3pCuXk/Pdrx44dXHVVaRkYL54KCwuxWCxs2rSJ6667rtS2mZmZfmHhevXq1YsWLVqQkZFBdHQ0b775JuADnJmZmTRq1Ain00nfvn35/PPPATh37hyVKlVi0KBBbNy4kbvvvpvU1FS++eYbWrRowb333stDDz3kt62XX36Zpk2b4nA4WLduHZ999hlxcXE0b96cNWvWnHe/vV4vAwYMYPbs2SWWrVmzhk6dOpWYLwoJGY1GPFII7NGjR6lYUcltJ7tiRU7Qli1bsnPnTr9jIcvj8TBZvcsMBjf/DNg8n/Q3nJuAyer0K0AFFL5XGKDPv1KISM+9QLkpngv8pGt7O9DjArZXFl+O0hp1gVrSAlmBnhXo8nYSS+Aq6yZ8bk7Rb5S0vgW8KuiUcz3ajVYNVLkway66fSesFJWrRpjJwBlPOfIt8RQ6YM/MfeQeOoPJYiQmMZKGNe0UFri5tksEEdlpnDhcxLolBbS7JZrylUxEmIqoWt1AbLRXHZIPblqd/jk95dB08AFGrWq6DDUDfVBu3Xv8AafHpOtLbi+BUbfOcVsCrJaW60C3bY/JBzqFq9NlNGtt5HBxMy5Sjxfw5vMFLPiWgKpbCw4dUaYfuhNGDYO6VaFyW3jpYRh6h9RYDzblwlT64yfGqBaoEgD23XfgkzcKsESaSDtSSPObynDqj3ze3NwWl8nMzhXn2PNzFpu/PkHb+2pwx5RriCnj/0hADzQBv3BsATblMG85D+VP/9vJz+N/56pBdegxsT2JZYs0cOjBqE0bcWuOULnKuQjJlkGqcKwWHknFGx9PVKwRT1ExnnCrNF6LVgBIAFWHWrn8HOXUCumV/PoVEvsn58Q049SArhiTRU0MIOYBEqZ0aW5VATjlAkUCSMuh81p+U5eZaHO+NjZRqV2MRRQeEmkmRAExAYVF6gJxPajKCfoxh8Z/JMNGYAM+J6cbXwi7cHaqjujcXF9OTlDC1R2UhI1W9YGMHlLKkl2e+mk9/HQUKmA0161sT46JMOEPWVHH5JCmAz1wC8HOkEIK6UqXxWLB5XLxxBNPaDVJQpDz/ApBzitLIch5gfrggw84fvw4jRo1Ijk5meXLl2O1Wrn11lvZsWOHFmp6+PBhqlatev4OVa1cuZLp06dTXFyMw+HgrbfeIjo6mqeeeooffviBDz74gBYtWmC1Wqlbt+4FFSn5tynk5AzpUklOIZGWlsY333zDM888w7Rp03jwwQf/Up9Nmzbl008/Zd++faxfv5577rmHrl274nQ6g4bJu1wuvv32W3r16hUU5t93330cP36c/Px8tm7dSkpKCp988gk2m40XX3zxT43R6/XStm1btm7dyrhx4+jTpw9nzpyhW7duAds+/fTTvPfee3i9Xpo0aUJeXh7Hjh0D4N133+WJJ57AYDCQkpJCzZo1tXXvuusuvv76a7/+zheaXhrcvFCoeT6FA1tR8nIK3QA8Kb3Xl8PR37DqWdiFQNlNwBfS+0c4f3i+3K8VpTI7wFUCRtYFKukGI0seoAw7BfCU833KhYoS8AedRqm9KEIUCfbIwKDTV605njQ1CD+DeA0mHdiaRRVzOrWaRHF6fy6bZqdSo54ZW6yJqrXDqVHfTESYS4NWoDjs9Lk2hatRdmvKILK4GIRR2SScYrL0VdKDTAetsi7a6QCn0R0832egokeBxi4kKq0LB60o+KSEalv8wJjX7aRjoxyOHyq5jS8W2BjzmIPqVb2MfdEAWV56dAQyYeEGGPoynFkl7WOBtLIIpRebEqH2sqPYo6ZBMIAnDkxqAazqNeD2ISb6PBhHVKXypJ9ysf+wm6evP+Y3voc/b0Hn+2v4hWrLMkvuRQEOBViTJRyGAPGc06BlPBks+uAUcz/LxWgyMHVLPRwm5XejQ60gLhfqkcGqLNFWho8ibF44JkGpVC4XQZLBopxbVJYA1jbsftsV7XyFkXypHkzSGOTQceX4KMWJxKsYu+y2FY5OOzbsLisWswu7XdletC3Pz8kqIKcVO4mkY8StuTjlsHgREi/6l8f3DG9Rbnu+r+J6Or7zKhVfPltxDhZAWobva5ehvgrAKI6gVcrHqQ9xBwVYFrlVF6g6HW5Scn3qvsLqMfcPTT+lvmZK863ScmVffesGiy4Igc6QQgrpSpbX66V27docPXqUcePGMXbsWOx2ewhynkcak6pwmSDnmRDkLE0hyPkX5fV6OXv2LN27d6dixYpMnz4dg8HgV9n4fFq/fj0dO3YkLi6OzMxMLWT0+eef5/nnn/9PAs1ACkHOf7/kHJ2XS3l5eZQvX54GDRrw/PPPk5aWxsaNG5k1axZnzpwhMTHx/J0E0N69e0lOTqZVq1Z++7Rlyxb69evHNddcQ05ODldddRVHjx5l9OjRtGrV6oL6Tk9PZ/HixXTp0sUPJv5VHT58mK5du2rA8t5772Xw4MGsXr2au+++m0aNGvltWz4mkZGRFBQU+PVXpkwZsrKUkMlA/1peNxi0m8PL49stKfkm9k38nZWTgWbqdKAQdX2eT/1y0b9+3jmgGBghzXsfXyT5X1Fd9fUqEcreFB/slMGT3m0nYEIs/s5OKOnqFJAzXupTKkhElM/lmBfrK0IkQoRBgTupKK7fcmRouSPLkF3CbSdXjZbBVbSGDsBm908oUFqOTY8JvPmgZaqQ82GCL2RchMrK0dBiHwXMCwZCdfLqnmPo83XKgFMPNMUyUS3dY1IckSL/qcdo1Fx1yvAV/9zJFCeHD7i592b/76PQKU8MYWEG7VhHe5TjGZ3jwpCDBjOj2kC+3mosjo38XnZzxuOXV7TLYPjlN1/zP1ZB/Ya+91kVrTgcxTw+1Ml89fnHmtPViamgoKpU7SRWj4GUW1KGnnIoNigQUIC9RNKJ55y2vzbs2FX3pA07eUTzzfs5TB9xkFlFNyMK9gjJoFGEaWepUNWGg2jySCNBO09FFXJlnG7yiMakjldUKjfixoSHc8RroDGVShhxY8NBBvGqOzKDdBKwqkV9MiinuVTTSdTcnHlEay7KbOL8qq7LTlQhO1YtxF0UFrJj08Cso1j57rrdvpM1zpytfswKIBUw1YadBNIBxZ1pw66lB5ChqgyCBUg14iGObDqwjht/36CAzhwUcuhWp1WwKUPOzHQFSoq8mPJDJtlNacNXfb1INy1ehQLN16cUkeeJbWSiwM00dZlwlYq+ROi6DDdDrs6QQgrpn6ZFixbRu3dvFi1aRKdOnUKQ8zwKQc4rSyHI+TcpJSWFOnXq4PF4gubfu1Llcrkwm83nb3iRFIKcIV0KWa1WCgsVmlClShWefvppXnnlFU6ePHnRHzAsXryYXr2Ugit//PEHdevW5eOPP2bdunV88cUXF5zuYubMmUyePJmmTZsSGRlJUVERAwcOpHPnziXyan7yySc88sgjtGzZkh9++IG6desG7NPr9fLEE09o1d5r1qxJeno6BQUF3H///VqIvdxeDns/c+YMCQkJbNiwgY4dOwJobs9FixZp+UtfVx2cbS9gP70oTsrYIMv1EcJ/RTKn6oFyL/0zII6ifDMaIIK5hALl8hQ3x2+guDgB7gc64H8zHcihqr/ZDtTGjVKgqIUFzAaIaYKSrxN8rs1gB0kuLFQWH/A06trIeTrFB6IDnSI0W4FyqhPO6F8QRp//UAAZeVoAEgGM4pxZWvi5AH9Ccti5Pl9miXZi/2XIKdbPoOTxEbxLuBdlaGzB/0SQTw71T4xHP0Y94JQlg01QHLJ2o9XPyapszrezTq+Z9rXOciqFgLqqrZE6db1M+9IfkgpZnXZsBcUYChTHa532cGQJviIwgQCn7IaVYSewYAvkOOG+8fB4P3jvWTBElWyHCeYsgjuGgTcVzlWM0vZNv78AJ6jqt+9KcHU+STQkjmytmncc2eQRrTkPRai4AgSdZBOnbWPCvYeo3Tae/o8qJD+BdC0npjJUpwZVRbVyATvl4j52FVh6MPrlshSvYhwuzIhq79koKVCE4zGDeMzqWhlqCLsCBqOIJh/wOVddmP32Q4xPfGcETBRQUjhIbdj9QuJFCHke0dhdVjxu3wnpcRuJjlFC0AXoFftixY4FF/FkUIlUbNg1wCrApoCrchV4B1YtfF2A0g6s5+bv18Bx4Kh0fhWiODrl76gT0o77QsId0mklQ06keXq4qL+mBnJvyuuL9cR7PSS14gOemWo/Ani68YedRQGmIQQ6Qwrp36rffvuN9evXU1RUhNFoJD09nZMnT9K7d2/Cw8Pp3bv3Ja1FcCEqLi6ma9eu1KtXj+TkZG699VaioqLo0KED9erVw+l08umnn/L000+Tk5Pzj+Qtl1MhyHllKQQ5/wZ9/vnnzJo1i0ceeYTbbrsNt9uN0VjKXdoVJFHA5XKeNiHIGdLF1IoVK7jpppu09+XKlePs2bOXdJvDhw8nLS2NGjVqsHnzZlJTU/n+++/9HJwej4ewsDAMBgMPP/wwR48eZc+ePYwYMYLRo0cDEB4eTv369Vm2bBnFxcUcOHCAxYsXA7Bw4UJOnDjB3XffjdFoJCkpiWuvvZbo6Gi8Xi9Hjx4lLy+PRx99lG7dumlh+kJut5usrCxiYmIIDw/H4XAwYcIEXn/9da666ipq165NXl4ejRs35tFHH6VWrVpa9fnmzZuza9cuCgoKaN68OQUFBURHR7N9+3bek67LbbmgNIQ4UWCjfFN6PugXyClzoXKjFP8RYZD/A5oC8hESjiF5G/ptWvEfp7yvN6p9vi4tDxYSL/d5PhgKSuEkgDZqWHNMCwJXSg+mWKl9LCVBp5gvFySSwtblbQiYJ8LY5WJAkbnFfgBQmy5Q+hKw1OSUluXgH0YfiDgHg47yexnY5eDL+SfPU1VcDCeyofkzkKPS6zs6wax3pe3oXa8W3XuCOzj184xu5c/g8R0Dp0Up4iNglHDiGfGw5icnr4/K4+De4hJ91q1vYOEvFspXNJXIVxpIJk+xBlibXwc/fgLVBMwuxP+4CSLkxgegJHBs6Ku8npkJieLftfjsdD9xPOXA1ABeHwFjHpH6Qt2eOB/F5ySPo5I0X6wnYLwJCmLCtIJYAggK1+MPXxUxeYKHR58K476hZuIz88mLNWuV693GML9iThac2mcgh6+78Fl2xXsXZtxqrk5lKArAd2DTAK1D+zyVV1EMSDsu0oGSp33tPWQQr0FMt197k1YdPZVKGvzMI8qvkJFwcbqKzdjzbXhU96a7yEixx4Q5wklc2WzMuCjHOQ3S+goNKWWSEknDrB5X4awVEs5VMQYF4foKRHkwUptkRhz9CP5AKUYk3JuFKOfXcbUztQq74wjkFvjcnLL0oFMPEwMp0LVarFsa+Azk/JTzcqZJy0TYeqD/T2IfQqAzpJD+XRLFS9etW0eHDh343//+h9vtplKlSgwdOpS2bduycOHCvxwx9lfldDo5efIkW7ZsIS0tjezsbDZt2sT06dOpUqUKBoOB06dPs23bNg4cOMCCBQvo378/w4cPJy8v7x/HWy63NCZV5TJBzpMhyFmaQpDzMsrj8fDcc8/x3nvvkZWVddGLFV0qORwObDYbvXv3ZsGCBRgMhhDkDOkfKZFMG6Bbt24MGzaMPn36XJZtb9u2jaZNm7Jv375Siyzt2rWLd955hy+//JLWrVvz3HPPaU7vLl26sGjRooDV1A8ePEhMTAyJiYnk5OQwZcoUxo0b5+fwnDt3Lv369aNRo0Zce+21fPbZZxc8/vT0dKZNm8bs2bP5/fff6dOnD2vWrCE+Pp7k5GQ2b97M0qVLSUtL44033qBMmTIXVDldVrCbTiE9GJVvHktrfyFOSRNwG6g+LkVL1VdxMxoolBF8sFJfcVeetxQYD/yijkv0WURgF6gY04XcrAvVQKrE3hQQ6aEDVWIXYdhiWoaY8eA2KVW2/SS30fcbpZsvDr4FX25Hkzotu0zlMHEn/mHxYmxQApL5OVRlCCqkD0vPkKaFU/EEAU+gc3Z44huYsw3cxdCmFmyZpOSa1KrTyxA1Cv9CThGUAJ0y5AxU3V0PRGVXbLYxTs1r6ObXX+zc18X/ocz13Yys+dlD1eoGdqQoAzF7XFicLg1gygDVpHNnihD7mldB8jYwFuH7zEQRGBlAyhRIAo3hfWDSffBUD0q3WavrdnsB7C5YPx7lcw70E058/jH4u0iFBJCVYaoTfxBaAJk50P9FqJEIU8dBWBH+5yn4QCnKuk7d/WeWzectFw5MUMCjyDsroKVcbEgOszfh0ULfQYGeAg7KOT7FtACCRtWVKZRNnOYYlUP6Bdi1YyODeNU56tueGIsHE3muKBz5Sp+u7GgweQizOLFFO6hkS9VC0EXVdVFpPoo8apJCPBlE48vZCb5iQ3JuTgGB7erV0aX2ZcVOJU7zdOZHGPYDq1G+p7pQdQE5OQ5FBZCe47tuCvekVmVdO67B3e/ypUIPKQO1kx9uBXrwprVTJ3LVc+qUtDxYISIx1hDoDCmkK0NutxuXy4XVauXAgQPk5uYyf/58YmNjuf/++8nPz2fs2LFMnz4dq1X/i0/RgQMHaNOmDTk5OXi9Xnr06MGSJUsu854o3GHt2rWcOnWKRx55hNtvv53y5cszcuRIrXjoheqfxFv+LoUg55WlEOS8jOrbty/z588H4MiRIxclp97lktfrxWq14nQqP3rtdju//fYbe/bswWg08vDDD18yN+r999/PxIkTQ5AzpP+XDh48SP369TEYDMycOZNOnTpRqVKl8694meXxeLQQlhdffJFXX31VW7Z582b69u3LmTNncDqdfyltxC+//MK6desYN24cANOnT2fIkCF/uh+Xy4XRaOTgwYM888wzWCwW5s+fT3h4OEVFRbyptmtDcDgodD6jof7mUB82eKHryQo0pjTgLum9ASWPZrsL3K4IUwTfPlmB11Du3x8D+gUZmwwz5ZtpedqhWyeQaqiv18cDTdQ34jQPXPdKkQcfwEwEYtQiMvoDFYtv5/LxuTnBB/rcuvkW/KGlPA49DIuQllvwQS4oCTrF+jJwlPvyoIS9gg94pUtt9f3otmF3QuQw+HQIPNyFkieqCNsX7EuMXX3vtegcq2rovMsO4VYVmqo0RYBGg1N5L4CkPdKMy2jWwo5vqZvMicPKshGvR7N8XiFtrzPSvIWXPoMthIcbtIJqNo9DcygKCdeokEECh427QI2a8NEbUF0tGqRBYQEz9Q5K0Y9as2z5eLjxapRjLxd1Em0jfNNHj0Otx+HclxAf7OebPt2AcM0iTcvh8HJ7dd67P8CsX+DTkdCkmtpeTn8gw3oT/i5lizQtPisJXMsw2m60kkE5v/yeejAp8ohmE6eFkwt3pnCc5hGtFRQSRXuAEuHvYhogjyjN6SuHrJ+gKh5MGpAVFeIBMorjyTobB0BxgQ1Mynbiq6RRMSwVm3rFEQ5VDybiOYcNh5aLM5o84slArkovu1SVQ6gUIRLjEn2JqvCJpPFo5ucYFqE8eEjH39HpVuelAzmQmaoUCxLXQQE7ZaelndIfEOndmIHWD+TYvJCQ93ATZLiV+ZlqHwKFiOzCwSIRev6zb8lCCukfqx9//JENGzaQmZnJ1VdfzcGDB7nmmmsIDw/nmmuuYcOGDdxxxx2MHDmSjz76iNTUVOLi4vz6ePPNN/nqq69ISkoClNR0ixYtwmg08uijj16W/XA6nRQUFBAfH8/gwYM5evQogwcP5rbbbvvTYFPWP4m3/F3SjlGNywQ5U0KQszT9vckg/mP69NNPNchZq1YtABITEzlz5gzJyck8/fTTfPjhh3+qOvvl0okTJ7j66qvZtGkT7dq101yobdq04dy5c0RHR3PXXXcxefJk0tLSmDhxIgDZ2dnExMSUyBcYUkiXU7NmzWLAgAHs2LGDli1b/t3DKVVGoxGv10tRURHh4f63VNdeey1nzpwhMjLyL+fF7dy5Mx07dmT06NHYbDa+/vprevXq9aeKpgHa9hs2bMiSJUvwer3MnDmTu+++G/C5N8/nzjwfAC2S1pN5SbD1ggFN/fxAOTfLotTBGKAu96IUI8oBbgnQx1MoIfh98JnQ5JtlUNybq1EKBQ1EuSEvxsfS9FV6HQTfN/k4BAptdwMp6vSODLjqhLrhTJTwXwEY5byUYiBGdUfjUdxURjCoTrciDxgNapXyDHxQyIm/01JALeHQFBBKhBqLbZVW0Vy4OQMB2UC2XQFB5Jo7JnwwUzjBMqRl+j4DuQ6NYLNA21qQGEVJgCr2QxRKkYs3qcfIoG7Pryp7obI5g0jYpx4rg3C4CkCs7r/R7VZwlhGK8/M1txjAB6/mM2VhFcrZ7AzsmEGuI5wXHs3n/e+j6TdAcVGL6vMAHpNJyycJqqNT6m/fctiVBE06QN4f6kwBqAXslGG1HEquqksr9Rh48AfdAT7vrSnKa9ky+OeGkMPhxRg8+ENNsQ1PkPWMMGcdTJ4L1zWCjRPV+SJFgUg3YMLnZBbbQlqOsp/eSPBI56TTohxXuSgUoOX0FJJDuOVcodHk+UHMRNI0l6VwhYKSA1OEewunppjvwqLl2pTdlNHkacWFRBh9Oc5xjnIkqMHUGZTDHmbDGW0hPzsaIlyEGd3Yoh0khKVjwyHl1lTCzkWRpHKc0xycotiTUlXeo23fjtUvnN6KHTMuFfTitz95RLO47E20u28T5ebkK5/FIRSHtPjexqJ8z4xQtkAJW88rLPl1FtfRGPwLAslfc/EayMUp5slxVsEKGOn/H4h13G5lWnb4i7FEo4BOfeoTMabFavRDCHaGFNLl09GjRxk2bBj79+8PmpO/X79+WpHUFStWaIDT4/EwatQoZsyYwfjx49m0aRPHjx8nLCyMatWqMXHiRL744otLvg/i3nvKlCmMHj2aXbt20bx580u+3ZBCulJ1ySHnqVOnePbZZ1m2bBl2u506derwxRdfaLnovF4vL7/8MtOmTSM7O5v27dvz8ccfBy2S8U9W+fLl8Xq9vP7667zwwguAclF67rnnePNNxfdkMBhYuHDh3zlMP02dOpVDhw4BSnhvp06deOuttwCoW7cuDoeDzZs389lnn/nl+Js0aZJfP6EnDSH9nZozZw6AX7XwK10y4PR4lJvH+fPn07p1axYsWPD/6ttoNGK1Wjly5AjDhg1j0KBBrFmzRgvlr127NseOHSM3NzdoOI5eBoOB9LvvZjL+xYX0IX/6+RA4qjVYqGEgXYirM1g+TX3/JmABsB2l+noB8BmwEAiUufUEMAdYFGA8VmCFOv0JvhvrYM7MP5NDTt4fGf4WoXDKU0DlI8ARSGyBj8Lqc0fqgVKOtEx9NXnB4MIfcAlgqYeEHt08nauuRJizAKIywCzAFxYuHHciBFx+rytGRKbufQF+uTZLwEy9BSuAm3PLi/gfH/B3C8rh+DkoMEZ2u6rtixyQnQXly6rFrQRgFMchX9qvWDCpx8DkLKYgRsnbHR5WzJE/fN26nF4ev/kEAFExBl54VOmkQZNwPBhwGc1+ERZGjwenxewHOo1uMKif05BnYc9+GNxbt7/BUgFIYfv33gqzV4NRdlkapWOjO4auIhig/JTwQWD9cRYg04SfA1SD5O4A6xnhm9Uw+Ue4sRmsfQnM4lyJkPrVOzWNuvdB0g0IuCkKYoEbl8WC0ePBYnSBGp4NvrBsXy5Pi+Z+dGFWiw35KsSD4oIsxzkAstSq6SAqols04Cj6VnbHV+xHee8mHicObMSRrVWsTyCddDXZqQsLVTlBtC2P9IgEMs6Uo9hjwmhyY8Gp9Se7UoXrMoE0THg0wAlo++SrTO/QnJoi3N6FWatuL+YL1+dummLHxsC2CxTAKcLWY/F9z8uiPLxIgJgcsKqh61YU96RDPYziQYBbd5EP5MYMlAJFvOqLDelf5XVN+NyfYhs2FKgprsviAZYAnfJYxHVc9LnYYAiBzpBCusQ6duwYzz77LN26dWPLli3nLTrqcCi/2m688UZOnDjB9u3bmT17Nj169GDKlClau8aNG+N0OmnatCl9+/blhhtuuGT74HK5+PLLLxk6dCgRERHk5+cTGRkoR1FIl01hBI48Cumy6pKGq2dlZdGyZUs6d+7MI488Qvny5Tl06BC1a9emdu3agGLtnjBhAjNmzKBmzZq8+OKL7Nmzh6SkJCIiIs6zhUtnn77rrrv48MMPiY0NVt/3r8vr9fLOO+8wYsSIgMuLi4sxGAxa/ry/I6PA4MGD+fbbb6levTr9+vUjKyuLkSNH0qhRI7Zv306dOnXIyclh5cqVZGZmMmrUKG3d2NhYateuzfPPP88dd9yhzb/11ltZsmQJ1113HRs3bsRut18QQAmFq//7lZ6eTkJCwvkb/kl5vV4+//xz5s+f/7fkw7lYOnPmDBUrViQxMZG0NMWJ43K5Sjg9L4a+/PJLLXw9MzOTMmWUSsBz5syhdevWVK9ePeB676sPOSKBkcAyQPaa6t0ypUHMPwM4hc63TrDwwEASYy1Gqbx+IWoF7AO+BraiANKPgEkohYNXSG31EbzBwGtpaQ31ErhBdqUmAleJausN8YFOfTEiOUcj+IcDy67NGPydm1HSOtJvaq9ZCnMXYFNAL8BZCKYwCJrhRB/OLucOFTkXZSCZS0l4Ke/bhR5E+ZgIwMZ55on5oBwPEcKu7kOOGwY8Bz9vUd57f5bGpd+uDN8K8YXCqz9DnPEQUxZc0rpHvEr4WVFxGCsWO2nbJYL4aI/q4fPBKgGajB7fDtgKXFrBI9xw9BjcNBAOrIKwYEZxPcxW52VkQ7kOUK8KDL4JHugBCWWUsHxtH01QVAThBvjsG3joHWXRVbVh23tS+L4evMvniTgHpOXLt0FCJOxMgVcXQorq/kv/FMrH4H8eg8+dKqc6iKVk2Lrbl0bAY/KF+euLSIkiW6J6vXAvioJCMuQTYNLu5xVEa6dfVw5tP4fyGyibOK1PkatVDn0X78EXzm7HqkFSATqTaEQ2cZyjnFo4SAmEF25U4Q4VUDWObCqRqhUfMuIhjiwtTF7sg9g3USVe70I9RzxykSRRKT6eDG5jPrUzTyo5OtehpJsQ50Q6PviZCxRCbiY4CvFzOBe5fe8F+NQDytJSj8jPaMTpK7tBRRsxX3bjy+/FNtJ068iu/UD5mOVc0yHQGVJIF1/FxcUsXbqUadOmMWLECDp16nRB63m9Xg4dOkT9+vXp1q0bXbt25ZlnntGW79+/n7Vr17Jr1y7S0tJo3LgxPXv2pG3btqX06q+MjAxOnDjBwYMHASUi8ocffmDlypWamai4uJgzZ87wyy+/8M0339C6dWv69u1LixYtLvwg/EmFwtXPL+0Y1YKYSww5cz0QeyRkIitNlxRyPvfcc2zcuJH169cHXO71eqlUqRIjR47ULhI5OTkkJiby5ZdfMnDgwPNu41J96Z555hkmT54MwMmTJ6lcufKf7iMvL48tW7Zw5MgRpkyZQnR0NFdddRWdO3cmJSWFMWPGANCiRQt27tzJ0aNHqVGjBgaDgRkzZnDffffxySefMHTo0Iu2X6XJ6/Vy9dVX06RJE3755ReqVq3K6NGjWbRoETfeeCN33nlnwPUOHz5cwnkbFxdHmzZtWL58OQARERGULVuW1FQlQdq1117LvHnzKFeunJZ/MJiGDh2KyWTC4/HQqlUrkpKSOHHiBKmpqSxbtiz05f4XSOSQu9gqLi7Wwr//LRo2bBiffvrpBT8k+CsyGAx88803DBgwAJPJxMyZM1m2bBlpaWmsWLHCr+3H0ufWFgUKngaqAYvV+cEqowdz0RBkeSD9FXhZGvwM1o/eLZkDPIcvKlqoLooRqTK+whMzgdL9Af79B3K56vN0gu9mWb8/Yn4doIYKyMKbqDMr4QuHDnawZDCoL1AkA8hY32uRRwGXhjjwFIPRin8It+SO81OwMejhpr6tPq+iPF9Izuknll3ISaVvd76YFzFOfT7HQqj7GBw+rbz9/hkY0BFf+D74f+Ay7DT5+iuOUwCgIQ7GTYRXPvBt+paesGyx7/3B4soYDAbVJejUYJcss0dxchrdbizOYiVsXd3fOu1gwxyoUImSJ6IeJHtKzn/sFQjzwsfzlfMg7WelQn3Dvsp7gEqxkCo7bHX6/nkYcL10TJxwPA3mrYfXZkFmvq+tyQgUQ4UYcLmhXDRcVxumboSJd8HIgXA2B8pGQ7iAz2K/hINT/swCpUTQy6TkTHVawjQXp8voczHKzkwBKx1YteUix6X82chV0vUSFckBLa+lCPMGBWQKx6UTC0bc5KtuSQEY7WpwubJ9C3lEk0E8aSSSTRwZxGuuUSsOrWK6sn0FvtYkhaoozuFo8jQXahzZfmMUjk59USIflFVAqyhmJMZoxkUcWfRjLpWPZigV14+iVFk3oVx0c1Fcz2p+ziInOJwK6HQD0ern6HYrsFP+SAM5Mc8XUaAcD996ejga6PpsktqJebkoRnMZiJrUeYEK24VAZ0ghXXwJk1Fubi5t2rThlltu+Ut95OTklMjH2atXLzp37kz37t2pU6dOqWnakpKS+Pnnn3n33XeJiIjgp59+omPHjiQmJtKiRQtuu+02WrZsyenTpzl9+jTfffcdP/30E88//zy9e/embt26DBw4kFdeeYW6detekvsnvUKQ8/zSjlG9ywQ5D4YgZ2m6pJCzUaNGdOvWjZMnT7J27VoqV67Mo48+ykMPPQQoxXdq167Nzp07/Z4+dOrUiRYtWvDuu++W6NPpdGrFb0A5oapWrXpRPmSv10txcTFZWVl/2TXodithZQaDgaNHj9KyZUtq1arF/PnzqVKlCocPH6ZBgwaaW3PdunV06tSJBQsW0Lt3b7xeL0ePHtWcrmJcl0Nut5ulS5fSu3dvZs2axR133MEnn3xC2bJl6d+/v1/bOXPmaC7N9u3bs3HjxhL9HTp0CLPZTLVq1fzmnz59mqlTp2qFTyZOnMiZM2c4ffo04eHh1K1bl8jISGw2G8OGDSMuLo4VK1ZQWFjIH3/8QUREBHfffTfXXnst1113HS+99FLAatMhhdS6dWu2bdv2j4Oc69atY+PGjTz//PMlliUnJ1OnTh3g4l0bvv32Wx5++GEKCnyJDXv27MmiRUoQ9tGjR8nOzqZFixZ+P6YE4Gyvvtdn/3kZJb8lBC6wo7+pk1Waq1OGfYGApSNI22CVdOXtBRqPCEwNC7A8EwiUTl6Opp4bYDxiHHqmIo5PII+uieCV3sX6MvYWj54qN0QBjpXwL+ojJPIrBuowQJGZQAfQCViEE07ObyhSvbpR7KWlpX4NBpaCuTQDrScfVLFPeqdqsH70/ekpSKA2xgDz1OmlO8Htgd7K81K8s3XbDgTUZLhrAixKH0YbGExQ4IWoDv5DadwYmrUy8uGXZrXgjEUDbQKkyVCtoMDLQwMLeeE1E1c3LMLiLObQLvh6DnzxPZzernYsB9MImBksdF3nvtz1K7S8S5mOi4JycXD4JP9vXVsXGleGamVg7C1K4aQpa2B4Nzh0Et5YBQM6wbXN4O2l8Nb3UCjVXvKuxQfdY/HPvanfLxEmL2bpikEJ96ITs5/zUs5FKRyLbg0A+iqPu6Qvod7FKaq0iz7FfKUPs7aOCIEXRY0sOMkiDlHhXV+gSABFATjTSFDBqUmCjU5sODS3qA07RjxUIlUrOCTAqlUNS5fHnqdavEVez0TSVJepGwc25IrvLiyYcZJHtJZGoQPrqcoJKi/PUPKB7MFXYb0Q5aJbAKRDrigshgI2HW7lY4uJVPJ2lgY4g/1PCHSay9fbQAXgwqX5JkoWoXOghKjL//tEKLtIz6vPxyyPNQQ6Qwrp/ycBoDZu3Ei7du3Ov8IFKikpifHjx9O9e/cSZqBTp06xcOFCHnvsMapUqcLTTz/NyJEjGTVqFI8//jgffPABsbGx7Nu3j/fee69U9uB2u4mKiqJZs2b06NGDl1566aLtw4UoBDnPrxDkvLJ0Pn/C/0tHjhzh448/ZsSIEYwZM4atW7cyfPhwzGYz9957L2fOnAGU4juyRDGeQJowYQKvvPLKJRmvwWDAaDT+v8KiZVdizZo1yc7OJjMzk1mzZnH48GFiY2NZu3atBgo6duxIv379eOqppzh58iRer5cqVaqQnZ1NbGws06ZNY/HixfTs2fP/vX/B5Ha7ueaaa9i+Xbmz2bt3L40bN6aoqIgtW7Ywe/ZsBgwYQHJyMp9++qlWVAhgypQp3HbbbYSHh5OXl8eoUaOIj49n4sSJQcOPK1asSIMGDdiyZUupFn673c6pU4oXas6cOVSsWJGnnnpKW75582a6dOlCjx49GD16NLfeemuJPh588EGysrIoLi7Gbrczbtw4rr322r9ymEL6B2rbtm1/9xD+lH7//XeGDBnCnj17GD58eMA2AnBeTA0aNIhBgwYByvXg7rvv5vvvv8flcmE2m6lZs2aJdT4zGAjHBzhFttP7gMEojs5X1FczwcPyhIKFD56vwJDIdabvT6wrF3/QF4sQfcs/D9y6ZaVtuxiIQ9nnL4F7gJ9QTEaFQG2UyupFAdYNlOst0Dbk0Ec3JW/K9eMVkDMRsJqgrCCdAui48YGbQG7CINAqoOVJmmcBrTAIqK/56jw3ilsuAwVaiCruESgHX7gWLzSsPNCYoGRBI32l7UDwMtA2L2QcbvxdgQGW39pUmby/I3xwr7RdPd3Wh8nLcoIpEqUwjwdSDpXc1L598Ms3HsqccOCMB2w+Z6CAmwK8mfBQI0p5mOEq9LLoJxPnTrlo1AnefglObZU6Lq1AVGnzPFCpnu9tdj4UFMLHr8C0r2BHMhjDoGwMFHshQ3J1mk2KI1NoxJ2KMxQPvDUbalWEz9Yoy1pUUIDnyFsACzRqCJk/wvi5UHYl/JEKOT/DmQz4aJ7ajwXluyA7UOUUDKC5jt0qtPfl4zRrBYYALfcmoKUGMHo8eIxGLcQbFGekkEvNRals1qNBSAFM9Y5OY4CTUc7BGUUeHkxUJFXbnig8ZMaJqLKuHV8VJMaRrTkphQtTgFVRDd2mFgtKJA2jGk5uxINTDV2Xxya2LfqL55wWgu5zeFq0cUeTjwslP6wVux+MTycBI24sNzkptzpf+Vx2aQfa5yjPAatFcXICmExgcisfq8MJ1ggf+ISSEQT63JxWab7+AZqDwP+jRGV28Lkz3fgDS7duWrwKyGrFV5hIXk9+DRUkCum/LBFe3rNnT/73v/+xaNEi4uPjGT16NJUqVWLnzp00bdq01Lz74j66TZs2Qdv8Gc2dO5dff/2VChUqMGPGDL/81wCzZ89m+vTpTJw4kddee42nnnqKl156iWXLlnHzzTcDSm2LqlWrMnbs2PNuz2QyUVhYyNmzZ0Pp2650yQ+rL5UuvXn3H69L6uQ0m820atWKTZs2afOGDx/O1q1b2bx5M5s2baJ9+/akpqZSsWJFrU3//v0xGAz88MMPJfq8lE7OK1FPPfUUv/32m98xvJgqKipi2LBhLF68mK5duzJz5kwNwIqQeb0iIyPZsWMHOTk5tG7dutT+XS4X/fr10xxhF0Oyk+zUqVMkJCQwZswY9u7dy4svvqhBzFdeeYWff/6ZDRs2sHz5cm655RbKlCnDmjVraNas2UUbT0j/f509e5by5ctf9H7FufJPcXLeeeedzJ8/n8mTJ/PYY4/5Ldu4cSNvv/02c+fO5fHHH+f999+/ZOMQx61Dhw6sW7euxPLPdA7OccAsdfpO4EUUntVBWi4e0wRyceoVzKEZSDI8DcSzAlV3D9R3IIdpacbC8xUJkvsW0hcOkgFsMFdrsBvrQCqLcqMskqskVsOXZ7AmCrwJlo9e7+TU5z4sDQYGC7eWc3uKZfK8WGk6BtUOqs6LRAGkAsjmULJwkXgfKO5UBomlORAvVPr1xY9YaX5BIUQ9BM2rQKUysHR0kG0Hg4Xy/snHVtrO/HXQN8Bz3h/GQP9uKCdBrFIN3B6peI9dFn/H4NW1Cjh+1EvDJgaWbrbisnsYcKOTnT9JHQZzbpb2pVDBeMNu8McR/8XxZSBpFSTE4R/mrp5f6elQUAQJMWAzwU9b4INZsHSzfz9mE/RuDZm5cC4Xfj8Bo26GymXgWI7i3gTVsSkk5zoV+yDmicrxAVIqiJB0/TGU85p6jEbMTn+rsMNi04Cny2j2czmKUHPh/hSQ0+0HGwMlfhVh4GYNQgpgqZ8GOEFVsonTtiMApgCTDmxaqLqoxO7GiAOblktTuDABDXBWIhWz+nREAaJODZbKeTnjyMaCU+tLbEd/LIRLVLhS84jChIeqnCCBdK45vQuOoOTnFGHr4uFJAbAXinJUmOlUQKccqi7n5tTnLRanArr5IremcpyCS4ai4lWASztK4SH52i2Hpsvb17tNg7n1xfJb/iG/Z0L6b+vs2bNs27aNiRMn0qdPH4xGIwcPHuT9998nLi6OYcOGERERwXfffceUKVP49ttv8Xq9ZGVlce211/LSSy8xcuRIzGYzS5YsYffu3Xz88ccMGzYMgJSUFGrWrEmdOnV46KGH+Pnnn2nRogXt2rWjb9++GAwG3G43f/zxB+XKlePBBx9kyZIlTJw4ka+++opXX32VZs2a+UVOXojOnTun3a+cO3eO+PiS4Sler5ewsDBWrVpFly5dACXXptFoLBHm/k9RyMl5fmnHqNFlcnImXXlOzrfffpvPPvsMr9dL165deffddy9LOoVAuqROzooVK5Z4qtKwYUPmzlWC9ypUqAAoFcZlyJmWlhY0ea7FYsEi/dj8t8vlcnHvvfcCykXz5MmTPPHEE3Ts2JGbbrqJqKgoatSogcfj4brrruP999/XKtcXFRUxZ86coLk0Abp3705KSgo9e/bkjjvu0E7EH3/8UXPBGY1GLBYLq1ev/lPJk0EB3RcTcIIPWJ0+fZqff/6ZIUOGMHDgQKZNm0a/fv2oWLEi8+fPx2g04vF4mDFjhlYxb8GCBbz55pu4XC5mz55d2mZCuowK9CPhv6gaNWrwyCOPlACcM2bMYOjQoTidTqKioi4p4JSB8Pr16zEYDCQnJ1OrVi0+MxgoAq5Xl5uAqfgAJyiA04TiJBQah3Kf+iSBHZWlhYoL6W/4AsFNU4B28j+585VpCmRm1Es/drl8SGnmQLF9eTwxBOZz5wOegfJzllWnK6M4mABfgZVEfNBSdufJUFGGmkZKFvjRK5DTU+yMR1omcn/KOyraZEjzxLQYg774kAkfjAL/fRAOVf2BFGOUl+s/nMA8qeRT+AL8gaO+fxTACfD7SdVdKI/zQiUDYjFWp2877RtBm/rw2wH/1U6eQ/lsc5S2BjdEqkkwTZEOjp4z0bC6/87v3+ulZrSdTl3DyMzC/wQORH88uuMgywO5WRAbwCSz9yeoUQMixZdF/hyMSjGi1TvgzudKrrvtc7ha5MEoVI+FyKohwpfV8ZZ7RJldtETaB3Eeie0J0B+J77sgVW73GpVCTDLgBAVsWpy+uHe3MQyTp1grRgSK49NtDMPqtOMxiVBzjwbxlMPkq7YOaHkzlbZuvzYe3UGWw+NFXk0BN+3YtPyXTi1E3QdSzfhC6Y14tNBwYgiyZgABAABJREFUUbhIlImzqu5NgEqkqvk2laJEZcjW8rwqY1FgazZxGkQV7k87VuLIwo1Ry8PpG79FDc53a/sl9lcUUEqlEnlEU6liKpUi0zFFALPxXSdEHtWyEK4rPBQuHTYBO/X/G4Jd4034w0ZxzZadnAJuCogp9ysqvZvUjq0mZQyyiVsv+X+ZPtRdltj+MoMhBDpDumL1xx9/MGfOHKpVq0arVq1YtWoVgJaj8r333vNr379/f15++WX69etH//79KS4uZt++fTRs2JDevXuTmprKddddx0cffUTfvn219SpUqECTJk2YNWsWvXr14qGHHmLfvn3069ePDh06MGTIEMaMGUNxcTF5eXk0btwYgFWrVtGgQQNMJlPAKKXSNGPGDDZu3EhBQQE2W8nicUJiX+vUqYPBYGDChAmkpqayatUq9u3b96e2GdI/UOI39H9MZ8+e5YMPPmDfvn2Eh4fTsWNHtmzZ8rdF0F5SyNm+fXsOHPD/JX7w4EGtOm/NmjWpUKECq1at0qBmbm4uv/76K4888silHNo/Rl6vlwkTJrB06VIMBgMLFy5k7NixfPzxx4wcOZLKlSuzdOlSXnnlFSIiIjh48CB79+4lKyuLefPmYTKZSoWcy5cvJzMzk7Vr13LLLbfgdrv5+eefueeee+jXrx9OpxOzOViZ1b9XFStW5L777uO+++7Tnp5Uq1aNwYMHM3/+fDyq2+L+++8nJ0eJh+vUqRNer5eXXnqJPn360LVrVx5//PG/czdCQnkampCQwMmTJ6lSpcpF61cUNAr0FOlKdHeOHz+e7Oxsv3lHjx7VHNXPPvssb7zxxiUdg5wsvV69etSqVYvatWvTFHgQ6AikABWAq6T1pgMV8b9hW4lyL3ot8BVKSPt1uu2dzxGpB4NCYl6RNK0v/FBan0VSW/04SnN86sdr58IVaF+FKzRGahPMaaSHm7LzVB+yH5OAD44JqJSGAohEJpECFDelgEYirBx1XRHWKxdlkd2a8o84GSIKCBYgrN1vxwQMFf3IJEAGsIH6kecFgq1I82XQKfZNlngvA9Q0aVpsNx3t+Cw9Do2qwY+HoUsVOCmdCO3rwN3t8AFBuW95nHoFoyCgQdWEcFj9GjR7Ao6oY5w2HB7sLu2LB8Xtpn5utW6F1HRl57/5HF6bCFOnw41dlErt1ohiVq1TwJ5JAtuisrhBwERdlfMDR6BBN7i2JWze6T/ciHAIN8PK6dC4OgpDk09sybVqMMH4zwPv9tXNpWMSga8olhiTetw+Wg1Du8HrD0gry+5k2SEspiW4Ccq0QYJiRncxrggwFwLCKamOxVxYrFSlV9dzR4rq68W+mSjFnTwmkwL4jGaQKt4LuGnDroWXO9THJkqdc7Mf6BTTSvoBe4k8myLvpQeTllczg3gVJ1pVsKnk0RTOy3KcUw+Pi3PEY1HD092qG1Pk6PSNwaRVU3dh9iuEZMOuhb0rOT19TlU7Nsw4cam5PGX4qwBPZTxWHLi1EPto1tOBFjG7qNriBDFbXMp3Sri6PSg5ftViRMLFaTKpbkyPMu1QzwO5gJB4DfR/Qg9DbfiAZqLJl/dTnCfgg6xiDOEmJZRe5AW140s5IiuYUzTYAzPxv2ulwUDXK/A3TEj/XXm9XtauXcv69et54YUXLti91bBhQ2bN8j0qDwsLo2nTpjRtquR7qV69OtWrVy+RkiwiIoKdO3diMpl4/fXX2bZtG2XKlGHnzp14PB62bdvG6dOnL9r+rVixgvvuu4+MjIyggHPx4sX06tULgMzMTI4fP06DBg04deoUZcuW5bPPPrto4wkppCtRbrebwkLln25RUVHQ1IWXQ5c0XH3r1q20a9eOV155hf79+/Pbb7/x0EMPMXXqVAYPHgzAm2++yRtvvMGMGTOoWbMmL774Irt37yYpKYmIiIjzbOHfb5/evHkzy5cvZ9CgQSQlJVFUVETv3r3Jzs7WivO8+uqrzJo1i9WrV5OSkkK9evWYPHkyN9xwA9dff32p/ffp04eFCxfy448/csMNNzB16lSefPJJbXlmZiZlypS5xHt5ceR2u3n00UeJi4tj0qRJJZbHx8eTkZEBwDfffMNdd93F+PHjmT9/Pr/99tvlHm5IAXTq1CkqV658/ob/D6Wnp5OYmHhFQs5FixZpP5Bk7d69m+bNFTuTxWJh69at2g/AS6EtW7bQpk0bDXgeP35cezil12GUKt4H8DElGeaNApZL74cDgkPow/QCSYaccvtgN4fnCzUXkkPOgzk2zzfGCwlZDxYaH8hUGKzf8zlQQSliIQPQutI0gHh0YEc5dsI7nQtUVv/VZhZCYqQvx12RGxITUD5YkUdTnnbiCzMXoeeFQBT+wBT84ZIM8+QPN5B7E4KHGwdqKySH2gsJ9yUosaPg/yHI+S5NcMQBtZdB50j4pQC8N4DXC2Gr/bu9vTLcXAe2ZMGKI3BsOKi1V5R9iqRkWL1+n+RQdXn/5Lyi0ljdBrjqKdhzDCbeBx8tgwUvQvO6yvpeLxxOg3rKTy2G94d3R+NzwQFb/4A2ah6JiAiwn0IDd14dlDVIFdjF67GTUKOjr02l8rD8c7BZoWYVX9tbH4GlHwfZP8BQi/MqeznEiku2CFUWxzMSNu6Gb3+DDx+UtiG2l4Byzpp088X+FOJzD6t9eiPxg5glALsJzQnqtfjgp9HtmxavbmMYDotyU2z2uHAZzVJXSpg6KBBTVCYXIe0udRoUUCiK/Mg5LAOFo7uwcI54HNhwqjASlHydCj5VXJgp1CCbOBWQeogjC5eWc9OjukCVqufR5GsV2EFxgYoCQmL78ZzTcoIKWdS98kgHMVCBJlkuzJo7NZ4M4jlH6417lbD1fJSq625850Kq8pqbqcBFbYzqA5wi6bvjwPc/RP7/IoedCwdmTKQCS8EHUMVruFFZJpyjRbrrTbgRMgt811womRYll/MrUKSDGGsIdIb0d8vhcPDFF19QUFBAixYtuPHGG//uIV1UHTt2jL59+7Jjx45S7xvsdjuRkZEcOXJEc4i2a9eOWbNmXVTzxt+lfztvuRjSjlHLyxSuvvPPhauvW7eOSZMmsX37dk6fPs38+fPp06ePX5sPP/yQSZMmcebMGZo3b87777//p/LYvv/++4wdOxaTycSwYcMYP378n9mti6pLCjlBCXt+/vnnOXToEDVr1mTEiBFadXVQnvy8/PLLTJ06lezsbM2SXq9evVJ69Sn0pQus+Ph4fv3114BFSjweDyNGjNBCBr766iv69etH9erVOXv2rF/byZMnM2LEiMsy5oup8ePHa4mcTSYTbrcbq9VKcXGxX05XgNdee420tLRLGgIc0pWlKzVXp8fj0ZKX2+12nE6n30OGjRs38sADD2gOeY/H4+e8vFTShxuMBG5Wpx0oDEHOTybfrp5W28pQsjfwOiWrlQcCisGKQehD/PQKVshIKBB8lOcHytV5If2X5tYM9j5Yv4FysgUDnnpoKodVCsn/IcUyB76iF+J9DMqNeaI0rw5oeKMIHzTNAGpEQFoh1IiFcEFPC1FODA8+56hbmvbgy7spwupBAaaR+NyVkdJ7GZQKh6lwdEFwt2SOtM4JaVqEm+9Spj/Kg3stcFyte6gvYbAd2IgC6n8yw7VhcKIQVgHbwqFjGRhSB4wV1BXSUA6igGwCBEeo+y32TQaeIsRajF2fKxX83K/OIhjxBXz0U4B2QPsmsOFDSkJhlG1XvF4pzAPgTcfPIStAp8ekOjwDUPmd2+EqFZT+NBW6dfCtb3fAph0w7j3YIFKsyw5ctf+YJpAnOWH/mAP1q0BiF0hX5098GL5cpuTiXPwktKqr9hWl9LNxPzz0CeydCmEOlGNtUZcL2C7AdyQ+N6jsPJaPTYQvdN0P7gZ6OmHyHS+DR3n1mPwLFhndKnzU5UeVCxQJd6UMOIVkl6ZcXV0Odxdh4MqQlAJBGcTjxEI2cZrj0ordL1w9j2js6hVAFALy7ZpHq+AeR7YWvu7ETD7RWpV1xYWprCfcqEY8RJOHEzPlyNDC1pVlPhgr9lt2uFqxa/2YcWHETWfWEJ3rwDQPhQ7uwVdpPU2Z51DdzaIGqACSDqcCHR1OH/AUzzlEDk5RBCjc5FtfSKyrny+WgQI5RT7QcBWSOvCZwsX/RnEdvdAHXfo2IbAZ0pWkCRMmMGzYsH+MIeZ88nq9zJo1i6ioKJKSkqhWrRp9+vQ5b6o8g8FA7969+eqrrzCZTKWGs/8TFeIt59ffATlPnDjh93mUltZx2bJlbNy4kauvvpq+ffuWgJw//PAD99xzD5988glt27blnXfeYfbs2Rw4cEBzZLZo0QK3u+R/ruXLl2O1Whk4cCDfffcdVquVW265hVdffZWOHTuWaH85dMkh56VW6EtXUtnZ2XzxxRc8/fTTfvOLiop46qmn+Oijj5gyZQr3338/qamp3HLLLRw7dqxEP6tXr6Zz586Xa9gXXcFCJXr37s2aNWu0EHaAli1b0r59+xDo/A/JYDBcNkj4V9SqVSvmzJlDjRo1Ai7v27cvixcvpqjoQvyEl04zDQY/mFYWHxwT94O/o0CyX4FhUtt1iExwgSX+jcphhvpclHBhTkch/dEKBDX17UpzeurHFcxhWloxITncXB9SqS+cFOymOJhzVXYLBWIzsoIdCzFPPvaJ6piFXytPnZeLr/CRQ512A3VUiJdXCJWr4YOd6ep0Oj6HqJgXj0JRBTgti0ImxLo5KDBLhNxb8MHCVHzwVOzoNjQgmrLH/zOYCawBnkX5DL4HPpWW10EJWd2tvv8ExS17g/r+KqAaUEvd30SU6ORHK4FJfXZorQRUkvZNBp85KEBOjFnkHBTSuztlqfNfmAk1K8KIz2HTFCgfCwnx0v6rLrTjJ+D+KbBmEuw7AU1U92P+r2reTDmnq5yqQJb63lBNeX2wP0yTMmnc/gjM+1mZtlmhYF+Acatj79QfNu+CwT3hswlww2BYPB6i1XByww0wuh883Bl+2w+Tf4Rdx2HxKLihOSzfDU9/CYfPwNaPoFVj/F3BbpQTU7iOhcSxF/spzhXZ6Rlov/WuXN2r26I4Ol0RiotTSABOfZEeQHNvgi+MXXY5BipQ5DuEHr9+RZi7WF8pLOQDnoCWvzOPaA2oCiCp7Irvw4omDysOzX0JaA5O/fZFtXcHVuLI1sCncG0Kx6aAqvJ23Bix4MKuwk0ZdkaTRyVSseLgmqO7lM9zKbAf5RqRg3INSIeiAggXn6lw3MrnsQUcqQqwzMzx/1gDAU75fk4ATBGyLl8z9bk07SiXq2AP1P5M8b0Q2AzpStOqVavYsGED11xzDd26dfu7h/P/1qhRo3jrrbeYOHEiZcqUoV27dtSvX79E1fRgGj16NCtWrGDXrl1MmTKFESNGkJubq9WE+KcrxFvOL+0YtYKY84WT/X+35YbYbSXnv/zyy4wbN+686xsMhhKQs23btrRu3ZoPPvgAgOLiYqpWrcoTTzzBc88FSJqu0+zZs1mzZg0ffvghAJMmTcLr9TJ69OgL2qeLrUv8EYR0OeX1epk4cSKzZs2ifv362vwNGzYwZMgQDh8+zLvvvovH48HlcmG1WunevbsGOH/55Rc/qClCu/+pEvkY9Vq4cKE2Xb9+fQ4cOMDOnTtp164dAwcO5Pvvv7+cwwzpb1L37t0xGo1+bk4x/XdVgpO1fft2bDYbycnJrFixgrlz5zJ37lztx8W8efNITEzkoYceYtq0aX/bOAerx+wH9Zjl4XOqWFEgWFUU16ZLt25P4Cf8zWqB3Iuyy0bMC9RWr2A3lPrpIkrCz0B5O0tzYAZzWeo5SLBn+zG6vmVwfL58oULBjp24+Q7kPg12Ay5vS98nKDfvRfiHW4rpNGneYbWfQ4U++Lf/OBQdl5imOp1w3Mc3SfVNJ6pO0UQVVKQVQpVIsCZCUQaEC+gZC479YJUA4anj/sU/5Ih0ef+vVv/CUbIqCsBZATij7ofQEpTPMVOaVxm4X913j3ps9rugYwqMR4X/hyDzkHIMKsejAE/wd3pGqq+i8xh8bkThZA3yy+1/AwEjPNBFaiMq1Bth0z6Y+D10vRp2HobRU6FFDdgwAa57HqLaglf+0Sy7LsWrbt6oYTDpE4iyKrkPrRFwzwjYnwxd28PKjSrgDNSnG266D27qAC8Mg/houOdpeLQ/RMeiAcl7boA3Byn7Urst3NkWjp2FIdPh1jfBZARTGMTHQJXy+Od4FeHMJpQTSoSlm/DPRStDZAHFREi83hQh2uu/jDr3q/Jqwuh247JYtMrobhVAytXWRbEfUeUc/EO4xXIjRsClwUghUXHdjdFviQszFjLIJg4zTg14Kn0qeNOBVcutqaxjwUIe8WSo4zBqYfIiV6gImRdh78LhKXJvJpCOXMldLprkwKY5UIVLU+xvhvrYRMBY0acdG+eIJ5p84mpmYcNBtdR0aAKsVT+rbcrnFi7OU/E5i2Je0nxrNShKhbKxkJ7jWxSOP9QUcsjz3L6PXlxfxfoi92YuJa+tcjh8aRLX2BDYDOlKVFpaGh9//DENGzbk5Zdf/ruHc9H0zDPP8NZbbzFq1Ki/tP7EiRNJTU0lLCxMgzz/FsAZ0pWrQE7OvyKXy8X27dt5/vnntXlhYWF07dqVzZs3X1AfVatWZdOmTRQWFhIeHs6aNWt4+OGH/9J4LoZCkPMv6oUXXmD27Nns3r37iqj27nQ6mTRpEk2aNGHbtm0apElJSaFDhw40bNgwYGjukiVLtGkBOB977DEmTZp0QTlRr3QFA52ghLFHRvqSxhUWFpKUlMSTTz7Ju+++e7mGGNLfpE6dOpGcnEz79u1p3LgxKSkpdO7cmTFjxmAwGPB6vbz55psMGzbsb3lq+d1331G+fHkSEhK0KufPPfcc77zzjlYMrHv37kyfPv1vhZxCA6Tryw/Sd04GZw1RzDd3oTCcXCAb/+JBcui0Ptw6E59zUIaCwdyNwRQI9AWqvCs7F+V5RbppfXVdWfocoYFAJFKbQDfGYh17gLbB+pUlcyU9sJXfl7ZvgaCvCZ8LVc+/5LGBD3yflObJkDAXpaCVSWoTjgIN9xQq08cKfVDhVAG4jyjtY3KU9bVUCQXKmDTTXYATRA/K5c8tDIVxFQLjgLGA/MhvPwoQLQv8gv9nJpyr+cCPwBSUsZxS/wQAychQOnWo/SRGQEwMisNTOAwF+IxHOeFFPlTxb0uFl34HWnzIHgXevDoXlu4AhwvOZEHNClCvEtx8NXzzC7jaw6BOsPRluPUVSNkJNSrjX6hHwFcZFKma9AmYw+GdGfDGKGW7lRJg/2Hlz74bf0ljPXkWrmkBYx9Fc03OfA3ufQG8hdC8Pnw0CxrWVNeTCgVVrwirJ6odqWDx+lEwcw2MvBNfKgJhFHTiDz/FPsRI+yRSIAjnp5xCQR6//JNPVGhXAadL/dnkNoZpFdYdFpsGBQXkU4Zdsuq6vhq7kJxvE/yhpg+VetQCPg4NRArgGU8GdqzYcGjA04FNc1IKqGhU3ZQJpGHDgR2rBhplUCnkwkwUeWQTRzwZiEJFCsD1OU7lSu9iPd+rKJxkLeH0tGP1g7IObCymF1U5QfQtP2P0eIhxq4/PCtBSTyAKaMmgE+nVoj4cKYBopwLoTfiHmgvHpvjYRWoPISs+t47D7f9/Qv7/lIfvtLfi/39Lf729PgQ2Q7pCtWPHDh5//HGGDh3KE088QXx8/PlX+odow4YNdOjQgZMnT56/cSmqVKkSTqeTKVOmXHHpsEK6jLoc1dXV0ysmJuai3KOeO3cOj8dDYmKi3/zExET++OOPC+rjmmuu4dZbb6Vly5aEhYVxww03BKwzcbkUClf/iyouLr4iwlyTk5NZsmQJTz75JIsXL6ZHjx6cOnWKN954g5kzZxIXF0ffvn0ZN24cUVFRfuumpKRoyZEBvvzySwYOHHhFQNuLqT/++IOOHTuWyDcaTFdffTVPPfUUd9111yUeWUh/pyZNmsQdd9xBmTJliImJKQHD09PTufXWW9m+fbvf/MtxyYyMjMRuV5DW0qVLmTx5MmPHjqVSpUqULVuW8uXLA8q5HewBxpUiATxtKPedzwHJujZ3AT3UaX3IdAy+8Hf5JvL/2Dvv+Kaq94+/06RJ00VpoUDZG1kCgvhTliiiCCLbATJERKYDEBegoIgKouICcaHwBQURBy4cIDJk7yV7tdBSOpImzfj9ce5JTm6TFmRjPq9XX0nuPefcc09u0uSdz/M8VvxgSgV1wUChXnrmFcrdGMzBqYd3+rbBpFZO10sNVQ/VRj2OPkxeHSeY9F+ig40bChZLiFmY+zOUQoXb67ep24Ptk9tCtQnmbA0Vhq/OK9j48rl9HhG6PhMRfh4sactbQC3dNjn2CURxrecQRrNQzmN5XCt+KCKvlXggMQasxdDsrNqtDHUHv7NTVqKXJ27UCiT1Czxe5/+DZrVFOHvqp5CcILY//SlM6AO7DkLdITB/BHRsgh/mJePPcamFAEvHYoQ2l7vbwFea/XXdFnhoNKz5Bgyy2Lg2L6nDx2DIOJj5MiQVx19gKVfMfdVaOJAKba+DBLlwEjzqC1hpVvB6Dwuwm7pQ2+YgEFCqc1BJvVocSm4L1k5eSOpHpCh/G30uTgk63UYjRrcbpzG4S1M8NmrTc2PH6gOd0impQk+Xct+JRdvrLzykOkRle7nFRjTZxAbAxEyKa6WBRNh6Ckd9TlO79i5r1d6l1IrvsWT7ihTZsPqKEsl5yLmpxZTkOcr98tzdGH3FihxYyMb/eVVUdHdoANWpPQUObERTm2205UccmCn98WnxK5q8lmSOWYuyTZUJ8UPD0cBia7JSugSX8gcUsQ6BkQUuRFqFjDz/+7i8VPQh51L5BL7vhsFmWJe7hg0bxp9//smXX35JlSpnUCnuCpLBYKB8+fLs2bPHZyA4V9WtW5e+ffvy+OOPXxaRYedD4XD1ouVbo6YXKVx91dkVHlKlD1c/evQoZcuW5a+//gqowTBq1Cj++OMPVq1adb6mftF06SndFSoJOD/66CP69OlzUY/t9Xr55ptv6NKlCytXrqRv3754vV5OnTpFVFQU5cqV49ixY5w6dYrY2Fhee+21AoDTZrNRuXJlEhISAFFFvXfv3lcd4ASoVasWaWlpdO7c+YzaJyYm8tVXX9G+fXv69OnDvHnzLvAMw7oUGjlyJJUqVaJYsWJBP4QkJyezZs0avF4vXq+Xffv2AeIfw4X+0HLkyBG6desGQLt27Vi+fDmZmZn8+eef3Hzzzb5KjWXKlPHNyW4PlQ3y0qqH10sPrxcbgjcESz+9FRHKLr84WvE7GLMQIcYZ+MPf9UVzjiC+z+rzn4VSYaBQgie9OU7usxI4R/VxvPan3lc/eujbyzDHON0Y6n4IBKkqKIvW/vTh9+qfuj9at02FbHJuJuUvMsSYVqWfukbqrepADbaesr/e+VoU5NWDQmnA04Nn9S9f+VOlzlEdYxiwAFFcKVRWaumqVcfeCLQDemtj1A1ynFDnJsNbpcM5HTicC5uOwpENkL8SWAksQsTLr0FYSvch8hHKnISag/G5L/3jN9No7LzHYZ0Wd//SXLheqyk4sjNEeKBWafhoENz9CqSrtuEMRI5T+ZcOhtPQVEtIWrMafPU5AvjFQqMbYO3vYLAS6ASVQNAE496AoQ8ICDrlA+jQHwaOgcemwIszYdU/kOkFZyzYjNBxLPy8k8ALTXfRbX4fypaAQVPEGvgKC4GAlsHCzuWtXMM8hA33tNY/l4LV3N3auUjXp/KmY3KAOU/k5DS5PUTnOjHrih0GA5zSienUXI1qfk29pEfShJtobL5cmRYcvlu1EFA0dt/40dgoRRqlSCWObEyIiuoJZGLBSRzZ2vEF4LRiJ4HMgHmaters8vjZxPkKGenzhcr5ywD9aGxYNPKsOlYdWAIKJIm55PjGc2DxAVo7Vi2E3co2avMiT7OEW8nqZcb1AdBaO3h5xHUXi9/xrP9VqphIsWDSXJt2IN0l7tvw//BQSmsfkFIkSvshwhL8/4b+fQnES0lWd4cw4Azr8pbX66VVq1Zs3ryZdevW/SvA6fF4LtvPpw888AAABw8ePC+AMzs7m65du7J161ZGjBhBTk7OOY8Z1hUo00X6O48qUaIERqOR1NTUgO2pqamULl06RK/LW2En5xUij8fD2rVrKV26NC+//DIDBw6kXr16vv2ffPKJD7ZOmzaNvn37Eh0dzfvvv8/27duZOnVqwHherxeHw3FVhKSfjc4GTr311ls4HA6cTiffffcdVatWZebMmZiCldcM6z8leR3l5eVdkB8Ggl2nFStWpF+/fowdO5bvvvuO5s2bU6dOHQ4dOuRrc6W8nQc7vxeAGkHa6gGfzOOohgOqYYRqGwjuUgzmbiwqT5qU3t0Zql+w79OhjhPKkZlPwUJG+sdnAnVDOV3l/CWkC+Xk1M8zlDtJL/35689dDzgLkz7sP9h4Z6qinje9tgGD8YewS00C5H/hBcBORAV2G6JwUbC1U8Gxeiyrrr3qLJXXdCktTN1aSpuILF4kw9klTATu/BK+3wXeaQSGmgOGe8XtY3fCS73AEgm5efDuYnjycyiTAEc+IcDR+NsGaP1kwbW5oRF8MBXqVBOPvRY1H6UAfm6TgH6qy/H96fDqq1CqJNzWCgb2hL27YdcuWL8dKqTAsZOwYSvkZMOgOwSYLRYLsdHw9QuQGE/ARX0yA1qPhs0HRAj+oJshLhLqVyEwzFwNZ5aQspiyD/yFaozaPvVLhT/Ljd9Bq7cSm8ARI9ycTkugi1F1WIrmbl+4OPhdnQVD1gOdmVIqFJW3agEhWdBHP4bIw2kiXbMGZ5KAFRvplAg4rt4p6tSqrcuq62YNWqr71XnFke0rJiQdmNI1mkkCRtxkE4cdq8+5asTtK24k84XKMRLI9O1LIJN0kkgmlcasJRob9x+aD58hXiP7tOfoKP5fwfRvhFlADhxJ86eliES8pJKL4avQDsLxKR+rVdUz8vzvofIyySYwZF0qnGszrCtB27Zto3fv3owfP562bdue04/7l0v0o14GgwGPx3NejAunT5/2GYd69OhB5cqV6dGjBw0aNDjnsS8H/Vd4y7nIt0Y3XSQn5/Lz5+QEUXjo+uuv9xVh9ng8VKhQgSFDhpxR4aHLTWFacxnL6XSyYMECjh49yty5c1m9erVv3++//06NGjVYuHAhKSkpHD16FIDc3Fyio/2lLbp27cr8+fMBAWSsVqsvT+V/DXCCgEDr16+nUaNGvqJDUpUqVWL//v2+x0OHDgWgd+/e/Pnnn1SoUIFff/2V22677WJPO6zLTF6vl6ZNmwa8hooXL85nn31Gu3btznl8k8mES0kkWKdOHb7//ntKly7N0KFDKV68OE2bNuXQoUOkp6eTkJBwRYXESHes+qF3DFAVGAKUUdqq/6Ty8edxVAGZWtU2H+HsjNO10zsJ9c5APYQq6p9jMNeOCvrsuttQhYRU2BUsTF4v/XyDtQ0GWEOF6IeCvKoT0qq0UfN46scNNTf1mOr6ng1gln3V4wVzSoWS3u2qn4+cU7A1l0WI8nTbn0SYKg3ASWAL/gJGnyKuw6eDzFE+52eSR1XepiLykJqA+L2CbSbmQmQuwnWYhL+COHBvvIjcZR++okWrT0DT18AUAS4PVEmExAdEvk6pWAucyoVdx6FGRbFtwZ8wYgaMuR9KFYeO/ydg4trPIbY4vpBxbzF/TkoQgM8lgaBFOBulWraAXbth6kThfiQPKiRAq4ZaAweB7lQT9L8TiIIlq+GGIdCgKgy4Ax59F6KjYPM+eKwjfDwA/toJ8/6Cr9YIIBUbBRYzXFsBpj8IEU78oBME3VKdobJAkRF/gaJi2lzyECH8bv/ciEI4QJVwfqMLXEaIttmDVllXgad0Y0pAadJCy2U7mftSukD1IeyykI/cJ6GmcF76JXNmiuJCTrKJI45snJiJI5s9VPPl3rQosf4ujBhx+YoIiYJBftAqwabM+xmtZBA2a2DTjZFUSvnaHKJ8gGNVwk55DhJuqttk4aOTlNDGSyadElpRIoES15dvwLCn3qLCT2nQGP9rAO1+mva8StitKS4KTHnif0y89hi0QmbaG75LV4/TZILUXOWxdisBp4SbYbAZ1pWir7/+mn79+lG9enVWrlx5xtXFC9PlCDiPHDkCnL9Co2PGjGHLli3UqVOHdevWUaFCBUqUKFF0x7DCukjKyclhz549vsf79u1jw4YNJCYmUqFCBR5//HF69+5N48aNuf7665k6dSq5ubn07dv3Es763yvs5LzM5HA42LlzJ19//TW//fYbn3zyCSNGjGDZsmV89NFH3H777QBUrlyZ9u3b8/3337N+/XpiYmLO6J+I3W7Haj0b/8zVq8zMTIoXL15om3LlynH48GEOHz5Mx44dWbt2Lf369WPmzJkXaZZhXQnyer307t2bWbNmBWz7t9qwYQNPPfUUMTExxMTE8PHHH/s+iO3bt88XMnTq1CnfL8dXqtLS0gokun4ZqBSivR7mlVMeq05DFS5K4BnMWacfU90XLPdjKIWCjPq++pD6UC7OUCBR78S0EhzMqSoMdOrP9UwcmcH2heqrlx4i63N+nqk7s6h2wUBvUX3UtTgF7EAwkr+ACUBH4GutTUXgGPClrq96/wjwBMJUpn46UecT6ro6k7ylJsTzH40WNitBTjH4Ebh9NzxeHSbfAljAoNXTS4yGDBvc1QAWbYAT70PJhwvOYcs0WL4NUjPhlA2mPKJrEIXfySidkhZQ0ikKufDDTk3rN8L1LcB7FAERLfiBpgwTz8NfGV0aHf1cjU4T4NuVsH4a1C0HHidEqJZkF2Q6YOtxaFobTAZ4YyE8+jl439PNUbpWTQQ6NeU5urT7au7OGKWP2t4lHK0Gt4CdBjc+Qu7VxrbFRGBye3BY/AjSbQzMo2nB6QOdIEAoCKAoi/uoki5KCQ71Mmqh7PK+PFY2cdiIJp0kdlITQMui6QzIqQn44KXcLuGqWjBJwkZRrMhFNnEcIwUrNky4OUkJnxMzjmwfxLRh9cFZCUX91dWtvqrsmSSwn0qkHS0Fxy1izbdlwd/vUrNLIsXLRTM85Us6OBYRk+WB9fhB5xZE/pMYBNhO056/vZCVJdZJ/r5otYiQdBDXQH5uoJMzO6+gGx7ggLLmYbgZ1pWiY8eOkZKSAojvile7EWbatGkUK1aMXr16nfNYx44dY/78+QwZMuSM+3i9Xmw2G9HR0VeESeFq4y0XQr41anmRnJx/nJ2T8/fff/cVmVbVu3dvPv74Y0C8Ll599VWOHz9OgwYNePPNN2natOn5nPpFUxhyXiZyOBwcPnyYuXPn8swzzxTYX6NGDUaNGkX//v0L7Dtx4kT416J/Ib2TrDDJKoLp6emkpqaSnJx8IacW1hUs9YOiXnFxcbjdbl9RoUOHDvnya+qVkZFBYqI/8Hrv3r3cf//9rFy5kvbt2/PNN9+c/8lfIj399NNMnDixwPZERBGYOAJNVnrIB6Iui5rD0q60UYtGBANeeuBZmMMwFHxU96uh86qCwTy7bl8wEKnmINVDQX0/PfhUHYN6B2MoKBms0JB+3dTQzGDh74VJhXt6h6W+b6hCQerxIhEh4vr1jiTw+Q/2mVM95jQ096OicoiK6ceApoj8sSOBicDjQMkgY6paiHBzyRpAemfxuaxXqG0yb+qTBvjEC95rwJEAUStEmzolYPQt0GuueJwcC2k54v7ojtCwCpzIgWgzNKkCx7OgdUMo2xda1oP/PYMfNroIBJ1GBORMVPbrJvziW/Dsq+J+9UrQ6RZofi0Y3XBHbQSAknkwJeBUmZ1RgKbIO8XDtVOgUSX8OTg1Zyloc1EvYBfE9ob9L0EJuU8BWb7zUByoxCjnIfOKWnR91P2y4jq6bXINtH1exSAlw/iz460Y3eJk1YJFwSqbq1JD3i04fPcD3Z4On1tUlQSJ6SThwEIayb5wdlk8SIJLNVzdhdG3XyoaGzaiySRBy9Xp4BQJvrB5JxbSFdel7CuhpqygLh2bNqKx4NAcoNEcpQwH9tbEnJCNc0s87DwJ41uBIUbQ5Ob/h5FTlD36FylRGZjcDiIy8vj5JTDHAYcQuWxNCMh5UHt+MxCV2ZPF/fx0iJQpDPL8z6E9V4DPrFxRkd2FeO+Rl5gEnGG4GdaVon379jFr1izGjh3Lnj17qFChAp9//jl169Zl7ty5OBwOevXqRePGja8IGHemeuSRR+jQocN5ib46deoUEyZMYPLkyWfcp1OnTixcuJChQ4fy5ptvnvMcLrSuFt5yIXW5Q87/msKQ8xLrmWeeYcqUKYwYMYKKFSvy0EMP+fYZjUbuvvtuIiMjmTJlCmXKlMHpdJKbm0tiYiI1atRg165dxMXFkSV/gg7rrPTaa6+xZs0a5s6dG7C9UaNGrFu3LmifK/wlc1nK7XZjMBguy5CW8y2v10t+fr4vl2eo6ykqKgqHVrCiZs2apKens2jRooCqd1eLunfvjsPhoGHDhjz//PMB+wyAXKGZ+I1TergmJQtPJxLoYCwKeupVmDuyKEejqmDAUI4RKj9nYTkvQ8HRUMeRkscLBdTUcUOFbZ+JztTNqYePodZCf75ybsHmqHdvqjkt5XjRyn31mKsRbs1rEMWDJgN3AN0QUcoO4D6gD7Af+J1AZ6dUdYQTWZ4nwF0Ix6cs+HQ2n32DrZF6bmobdZ8TaKBtu9kI6zxw+gz+dTWrCcvGBZ/kt+thxU54sTcF4KXbBGt2w56jcCxL5MVseyPcd7u/We3uUKsqfPUztGsOqemwZi7M/xl+WQ7HjsPiVeCQtf4kaNSZEm9/Ftb/AyO6wMj2BFZQ118c6ptFHuQ5odggODYZEpXK6L7K8ZIJqjk5pXtTbovBX9VePpZuVJT78rhRBDxpPncnftApIafD4v8f6DaZsDj8uQTUau1iWYwBeT1V2ChhqHQ/ypya4pRcPsek2eHAbTLhNAqgKMO/JfC0YyWBTMw4KcFJHzy1YfWBVQkn3ZhwYiaTBJ8DNZs4X05PwAdIpetTAlGHFi4vx8gmzgdKT+dFcjIvDqcnktTPd8Efa+DwNshxgjEGyjaCOmOgOCIEoBJ0uPELKrt20sy0ml+f+JEWN7m5t7lbpEAwImDnXsSvYyDAZzIid+cW7f4fQAoChLq1fhni+c13QXau+KIpg//CYDOsK00Gg4G7776bTz/9lNjYWP7++2+6du3qy/X+7bff0r59+wK5+64GLVy4kO3bt/PUU0+dl/Guv/56/v7777P6jjh9+nQefvhh7rvvPj7//HN69erFZ599dt7yhJ5PXem85WLIt0a3XCTIuSQMOQvTBX4KwipMt912GykpKeTl5ZGTk0N2djaNGjXCYDCwdu1a2rRpw7hx46hdu7YP/pjNZsxmM16vl9zcXI4dO0a1atUu8ZlcuerVqxd9+/alV69etG/fnlKlSpGamsratWtxu90kJyeTkZHha//jjz9ewtle3XK73f8JyGkwGHxVHA8fPuzb7nK5fEWt3G63D3BeqOJGl5PmzRNUIzc3ly5duviKqtlsNobHxHAU+Al4UGvfF7hF6S/BkQuRlhAExJLfX034Q9btBMLRUO4+VXqYVlho+plIHlMCRfV4qmsz1HxkO+kadQVpY9M91ucglVIhaTBnZjAFCzEvDG7qc2eGKvyjH1MPQ/VjSunD8dXQUfA7YE341yUSAQIN2v1Pte3btb+hwLUIXhUNRCDW/GNgOgJs1AZKIIoPzQAeQ7AR/bymISqutwQ6I0LdC4O0+msy2DUaaj3VXJ7dEDlDf3OLokg1tX0D46BXOdgfDY9uhggj5Lhg5XD4bg/cPQm+3iDazngI+mvVqtvXg/aNEXBPg3PzlsO2IyKc/bZroUl5qJ4M362DDs9CiSjhAm02FLbvFX/TnoDBnbTJOKDLjdDlOvhnD6zeBnkeiDIrC2LEBzo9BvhxHXh/1LbpE6UGW1gFeEY54Mm2UHYk2Kfjd1mqYekgYBj4c2+izSMKP8SU4fQyxF6OY9K2JxHoLpVzMfpBpzPKX43dGQUWhweHRYSyu00CbOrD2qXTU+bbVB2f4hBGH0yUhXx8fWXuT7cbo8uF22TyjWXETQrHiMbuy4VpxEUc2Vg15yYIuCqdmSJPpoCSqSRj0Y7nwOKr8m7BQQKZ2IgmGjs2rL4QeTleCdJ9YDbLaWb/pnSOLf2bo9MXQ/ly2E8aoHI1SLwWKnYXF1WmSeRBzQGtALxY3xJwkhJYTTZsbKbb8zXoUX07nf8BsxHyzGBV3bjFtOc5BgE0k7RtKdrzmChuf94NVjc0swhH5zrlOgsDzrCuRB0/fpyvv/6a+Ph4JkyYwGeffcahQ4dYtGgRlStXpmvXrrz//vsBxXNWrFhxRj+25+bm4vF4iIuLK7LtpVDHjh35888//1Xf/Px8vvjiC06cOMGRI0dITEykefPmZ53KbMCAAXTo0MFXO+P999/ns88+IyIiImyoCSusc1TYyXkRdfDgQSpWFJn8W7duza+//sqdd97JhAkTAv6BZGZmkpycTL169Vi7du0lmu1/SxEREQwcOJAqVarQv39/3n33XUaPHs2WLVuoX79+QNt3332XgQMHXqKZhnW1SF/V8aeffiI6OpomTZr4IKiEvpfjr7oXUm63mxUrVvDuu+8ye/bsgH0RwHgEKFKlDyOXj6MRgFMNZQ+VdzKYMw6lvdpXzWx8pnkkC3NbFpYpuSigKIGoPgelPURfCRDl2EW5QIPlLw0Wvl6Y1Hmrz4U6ljqeHFM//pkA1qJyrJ5CQEwoWDH9YeBXxDWzDqgM3IAIV98DHAa+QMD0BxHh6jMR+TdlysohCDeo/rpwA4OAOxHuTr30MDNYGPqZQHkpGyKnKIiUhHZt/ncCQw3whhfKR8JdxaBqMgzfFnycvVOhcilwe2DNXli9R4Sze4HKpaHfLboOGtir9xS0qgfTFovNUwfAaQfsPQY2B+LFDOARf14vrN0tiiI1rAZfT9D2u+D9b+HjX2DldrHJuwi/kzKUtVcqj0C3J/DALNh+FF7uCbfIYkcSmqpvBjIPpwSt8YgnX3LDGG17jPJY7w7Vwtdlnk6XRUBNg8Ofq9SUK+6bHKIqu1E7F1uMmehcp+9WVqp3WCJ8gNJmtBaobK6v0O4vFiQgp9xmdLtxG42YHQ6cFgs2orFrEPIoKRhx+woFSTeoDasvTN2GlUwSsCtFkuRxrdiwE00S6Tgxczojn/RsM1EVy+DKEye489s97Fm4g/ycPBwOA06bC098cQzF4vC43JR8cQj5VWuxa2892GEQF/Bx7U++sDMRL9g8xK8ODaBqv62U5xDt+J59H/zK9EHbuK+PkW1rXaxdBy1uNtDtZi997gZTLNjyoXgJMOxDhLHvg6W/wTd7Yc1h2JgOp5wwNRFqZIjXXBhshnU1ymAwMGvWLHr16kWJEiVYtmwZtWrVIj4+nvHjxxMREcGuXbuIjIzkxRdfDFrn4aOPPqJfv3506tSJzz77LKAg7uWkdu3a8d13353V5+u+ffuSnZ3Na6+9RqVKlXzFfK92XUm85VLJt0ZtIP5Mvxj822PlQ7Gfw07OwhSGnBdAbrebzMxMkpKSWLhwIQMHDiQ1NRUQuR2vv/56tmzZQnJyMmvWrLnEsw1ry5YtPudY9erV2b17N3Xq1GHLli1AYOW9b775hjvvvJMRI0YwZcoUrFarL79iWGGdjdq1a8fixYuD/lrr8XjYvHkzt9xyC+np6QwePJhp06ZdglleXH3zzTd89NFHfPXVVwHbR4wYQWxsLD169OCaa67BgjDZtAWaaW30kFNKfvyOJxDMqcaqoiCZKtlWdVomKvcL+1xTVKi4XnqHYqhtcuxg+UTtFASEwcKb9Tkt9X1CwWG9IrVjynUPBiplztBQUE8/x1CgNtT4evCpX6tUREEgqc8omLv0b22eVREV0v8B7gd6aG0OA3MR7s0Irf//EI7Q94AKQc5NMrTHEe7OUDlfQz1PhNimHkNlh5HAPcAmBAP6Fiij7fMiQGyCCda6IPUaiC0F0eURF3QSfHsIOswIPMaix6B5HUiQME9xWQal1i6lnf5ELcp96YbUAGlcX3C5oXoK5OTBvlTYOA3q1oTdR6BmotZHDWV3KX/qmGq+TCXv5u40qDEYXu8ND7SERCt+IKrm53QhnJ0OhMNPAk2ZszEef7Ell7Z+bv8YEm6q8FLCSpNDQE95K/c7o8R9fXu3srYSdKoOThmSbsfqA5sq8JSgUxYvinbbfTk/s4kLCDu3Ee0rCpRNbAHAmU0cdqyaQ9Ofo9OsEWXpCAX4beYB5vX/jSo3l+PIuhMk1y/J8bXHqTesGZXaVKNs6xo4MGMnmkOUJ5MErNjJJhYnFlKdyZz+vbQoInQEOInfxZmnPSdWhH2/CZi7ZlEvcTOt+I3yHIK//8Zy8hj1rjPiPZRK88Yu2nUykpfu5tel0OI6+ONt8Rx/NgP+3AC/HoLPm0KTUvDlNnhmLTwE1AHuuLK/OoUVVkiVLl3a950VRLX1Dz74gG+++Sbgu/auXbto2bIlhw8fDlqBfcCAAcyYMYPs7GxiY2ML7L8cNHXqVLxeL4899tgZtfd4PLRo0eJfO0CvZF2OvOVyUxhyXl4KQ87zLJvNxquvvorH46Ffv35UqlQpYP/SpUtp3rz5pZlcWCGl/xXuiy++oGvXrgA89dRTvPzyy759N954I3/99RcAffr0oWzZsowfP/4/8UvehZTBYPhPhWcsXLiQTp06hTznAwcOEBcX5yt6dbWvjdvt9oXr9+nTh9WrV/P1118HpONo0aIFy5YtK9C3B9CBgtBHDwflf4gz+U9RGCST+1WAGE3owkZFja9K79Y707ydwbbJcHZ9Xku5T5WEmIWBTvUYJgLBp1rsSI6jT40oj6PetyrtQ7k0ZS7NfKVtsNB2m66f2k6FtaMQqfdAFBG6jqKfry7ACEAN0rMjWFas1t8D3A0s0vWV5yshKEAt4K0Q7eR8Q+3zIkDtRu2vIsLY9iOC8bQC3tXaRgFLEJXiH9Tm97pubAmkE4tBZBKChKaIwfYC9y2CVQfhnd7wyO26zuqTHOyFYgrSTj6W4d9SStj3lytg7UGYeL+yXxYgkiAzSndseV8Fm/L4EkxKaced9xf8vQte/x5+GgKta2p9HIg3ilxEHkY5XxMitFkCUAlboxDQMw9/YmD9/VgNaOb6wSdooesOMZ4KOuV+R4wIabfFRBCd68Gpzd0WbfWFqZvdTpxGc0COTrVCuxEXdqIDnJYyRB0EFFWBqHRpOrH44KMRN4coH5Dv04GZaO2dRVZDl3BVbnNi5q3bfmDXr0cpf30pev/Vz5eHU7pKZW5PG1bSKEUqpXBi9oHbw0fLww8W8evCSoR7MwqRIDdWe1wO8cJKAh6Ca2qspzlLKUUatdlGVfZgwk0ZjlLcJvIRPD0aZs+BGqVg3xGRDqFzJehTDhrFAmnwyxKx3s3sdp588kn27NnDo48+Sps2bQgrrFD6559/+PHHH4mPjyc7O5tly5bx999/07NnT5588snLtnr5xo0b+e6773jmmWeIiIjg0UcfZcqUKRiNRlyuwDf5TZs2MWTIEIxGIxMnTuT6669n69atjBo1ih9++AGAUqVKcfz48UtxKkXq9OnT9OjRwzfXoiSrU1/tn8eD6XLjLZejfGt0x0WCnItFYWqj0cjgwYMZPHjwhT3oFaYw5DxHeTweX0jpTz/9RNu2bQFo2rQpq1at8rX78ssv6dKly0WfX1hnprS0NEqVKuV73KJFC/744w9A5KyZMGECb7/9tm+/CuSk+/MKfymFdZHVo0cP5s2bx4gRI/jzzz9ZuXKlL/+mwWDgwQcfZPLkySQkJABXP+S89dZbWbJkCaNHj+all14K+qNBTk4OP//8M506iYR++/fvp3LlylgQIcOqgjk75bYkgjsNC1Mwx6AK+YI5O/WO0VDjyrbB5qLP2anvp44dKgxfvy/U+apFh4IxKX2xIxUcqg7EohQKZkZTcGx1virkJMj9MzkWCEA4XLfteoTDUu2njnsP0BO4Hf9zeo92m4LgK7vxh8Lr8Yf6PLqBZ4EXCExTECxlgvp82IHFiHD5I4gaKxagkXZOvyDcza8iIO5qbR4xFO4MVfclRkF8snZS8i8Zar8N255XOhoJvLjV+25dm1B5MuU+tUiPtLs6oNKTsOkliI8nEGDqx1EXSp8DUwWpFv92Wx70mgY3VYZG5eHemXBNafh1mDKHXGUc6eCU5yRdnFCw+ro8rqxYpYatxyjnIKGtknLZG+N3a7pNYMnVTlsDnc4okadTSg1ZV8GmWcvp7LRYiLbZcRkjcFosZBPnc3Q6NVgpiwDJ+zasvtyagK86uqx4LosCuTD64KfMzenGhAUHVuUdUcLPFxp+izPPQ40e9anYuzklK8fhwIxTA5wSpqZSSguVF4ua44kjfUNZQe5lWvRjQZ77aojKYe2BulDuxj3cyHLKc4ia7KI22zDjII5sSpFGQoYdw274cTm0NUHeEdh2AhpZEHBzgf95UUPTXS4XI0eOJDMzk48++oiwwgLheJw6dSqxsbFERkZSqlQp6tevj9vtJiEhgVtvvZXc3Fy2bNnCe++9h9vt5pprriE3N5eePXvSokWLyyovvRqGnZqaGvAdSdXp06e5/fbbWblyJbfccgtr1qzhrbfewuFw0LlzZ5KSki7rlEuTJ0/miSeeCLpPfu7Ozc3ll19+YezYsWzatOmyPp8LpUvNW64EXQrIGX4+QitYeqewzlDPPvssU6ZM4eeff2bVqlU88cQTREREsG7dOq699tpLPb2wzkLJycm89dZbDB0qMrUtXbqUhx9+mPfff5/SpUszbdo0XnjhhaCuOoPBwD///APAyZMnWbduHbfddtvFP4mwrijJYjsgoHqfPn0oVqwYeXl55ObmMmnSpIA8RocPH6ZcuXKXYqoXRb/88kuRbWJjY32AE6By5coA3Ne3L/nal81geQtVoAki5Vokgc7OUE7IYI+l+1CVHT8EzNDGtyrHDvXPVmVDoT4T6Y+ltnMF2a62V/mSHg7q3Y6F5RkNNT/9tlCgEt02PVzTb9ffV8dXzyEUDC0MhJYC3gSWIqqetyIw5YBqDrQintfRiJB1uZ5OpX1doJ/uXFTpQfV+YA0ih2cO0BpRlb2dMk85b5XXPYjIrdkcETrfiUBY+R7CzZqPYJN36s5brVAvUwpk6+Zpz4MjB6HUUUhMBCpAp8PQpSyiKEss4gUThd9VKZ2PoVSYw1Puk2PJBKkWSEmARWug540hxlPHkHBT3aeCWKPS1gQPvgsns8CRD5+thL+HQ7kE/Pk2Y/ADyBhlDPWYEmiq534aP9Q8jVgvzaWJm0BXqASgsmCRlqfTpEFTY4y/+jr4Q9YtuR5y40VBIrvF7HNjmt1OjFoRIrfJhNHl8sFOu6Vgzsxg94VvUmJJsa0E6b6wdQAzDpJI5ygpmHH6XKAm3ERjx4yD4mSSTRwOLOR7DCx8bgMGj4dilYqzbdZGMg/mcOuH3THhxq49OdHYfdXYAR9ATf+7rHjRbEBURceOeBfPEAvlKismtr8UJCBszSY4nFeN/a2PEkcO0dhIJ4kk0nFjx4EZwyo7HIS2uUCuKErV6LQfbobKuWkymXj99df58ssvueeee/jf//4XtF1Y/w1lZGQwYMAAAJYsWVIkqKxatSodO3YkLy+PDz/8kFtuuYU33niDDh06sGLFCurWrXsxpl2kVIgXCnCCgCwrV64E4O2332bYsGH06tUroE2TJk0u2/Rsp06dCrnPaDTi9XoZP348d955J2vWrGHUqFEXcXZnLq/XG3DtjRw5khdeeOGydQxf1ZI/4F5IXd2+l/OisJPzLHTs2DF+++037r//fqZPn86ff/5J2bJlGTBgAH/99Rd33nknxYoVK3qgsC5b7d69mxo1avgeu1yuArlmYmJigubhHDhwIO+99x5w9bvuwjo/WrZsGRMnTuSzzz5jwYIFvPHGG2zatAmDwcCyZcs4ePAgjz/+OGlpaVx33XWX7YfES6EXX3yRZ599FiAgN+7nBkPIIj76UGz52IrIWViUY7KoPJFS2QQ6OyXsPJPPPIWlNQylUJXYQ4Xc66GgXoXlxFR1rmMWBl31+/VwU98vGMwMFq4u758C+uvmOAMUlBOokcBkBJuKRLCwBUB9YBwwn8AQfT1YV52ZIKqdl0IwGYAVwAEg8Kth4PO+GViOv2iSur8jIhdnYDZboWCpDUJJrlMl7XGpZPi9ODydBsMbQI/rEQ5FNZ+mhH9F/Uqg3yZdlrKvAimf/h/MXw9fDIH65bX2+tyf6pi5Sn81RN6i3IK/CroDEp6BPY9DCVkFPYbACusSbqrfEdWxpBNTzkm1QBdTxonCD1lVa646pklpI4sdyX05CFiqwVBZmd2lzcNhEV9sJcgEsDrE+2Ewp6csUmRXqpurwFPKiNtXPMiMk6OUwYnFBzwzSQjI82knGiu2gBD5bOLY8HM6M3uvYPTh/uRGFCOTBJ+T1IHFB0ltWNlPZTJJYH9GJQCcOdGwwiR+YfgKWJOKePUdwY/q7UBZoD4YEImaWwG14Lr7llOPzTRlFUmkU4KTJJNGnRP/iDwOaQgb9D7xfP7ysTj3My0q9Pnnn/P1118H/GgZ1n9LDzzwAJs2baJkyZLMnTuXxMTEojsF0datW6lbty6HDh264n7QdjgctGzZkh9//JGBAwcyZ84c3z4JSy/X70W//fYbkZGRNGvWrMC+m266iX/++eeyDbfXy+FwcO+991K9enWaNm3KDz/8gN1uZ9asWec8dtjJWbR8a9ThIjk5vwk7OQvTf87JKS3mWVlZpKenU65cOebPn899990HiDe7a6+9loSEBObMmcP9999Pfn4+JpOJEydOULduXR/4euihh3zj6nNvhnVlqnr16ni9Xm644QZWrVqFyWQqADp37NjBkCFDWLQoMPOaBJwA2dnZxMWF+rocVlFasGABnTt3vtTTuOBq3rw5CQkJJCUl4fV66d+/PydOnODYsWM0a9aM3r1706ZNG7799lvWrl17qad7WemZZ55h7969fPjhh9jtfsx3v9fLAu1DdbDwXPWxGsqtOtrUauyyn8y/qQKsYC5KEK5A1dkJ4mu52kZ1eQZzXoYKb9dLOizlGMFyVqrj6ueq5tYsLNy8KJeoVXdfDelXI5ZV/qTOnyC3+uOqzk39fbW9ei5q3k+plxGFhQDmIHiSWngpH5FfcwcipBygBoGsKxHhlJyNgI7SuavOubAf82vqHpsQldrl/WBgezqi0JHaR+oh4LkQx1Il10amJlClcrr9WjtXGrQywd1xMG8X9KiDgHuqq1EPON3afjV0XYJBleLLsHCZW1NzZLadCgczYftE8BlTQgFO8Ls/ITBPpyoFbuICTz6UioEF26BOOej2KVQpAek2SM2C5AR45GYYfjd+16U8vjwXGc6uujrluZ3GD0RzCQiV940j5yrHUNc0T7kfpdzKkHcXGLVcniaHB68R3CbhL7Y4xK3DYsbocuG0WLBo3mOZu9OmuSSdmH3h5i6MRGP3hbGL8HOjr50JNxaysSGquSeQiROzL/9mcTJ9Ie3R2LARTYQnH2++C5M5gj2rMin2f6L0lU35KUoA1BQyScCIW1RSN2lPeI5JQMg9CK5JKoJMHlYWUr5j28FrFUWJ7EAC2IjWYKpZy/kZTQpHRT6HdO25OQq/a0zmbCum33///Rw5coQxY8bwwgsvFN3hKtPu3bupXr36pZ7GJdWnn4pMy40bN2bv3r3/GnLWqVOH9evXU7VqVXJzc305yq8EnTp1io0bN9K3b9+AGgZS6me0y00333wzr776alDIefjwYdq3b38JZvXvZLFYWLBgAZmZmRQvXhwIDpcXLVpE1apVqVOnjm+b1+vFZrMRExNToH1YZykjBYstnm95LvD4V4GunHfQM1RaWhrJycnMnj2bBQsW8MADD7Bs2TLy8vKYNm0aFSpU4NChQzRp0oTVq1cX6H/zzTf77rvdbh/8BKhfv/5FOYewLr1WrlzJtGnTGDp0KOvXr6dx48a+feXLl+frr78GChYsWrp0KevXr+f+++8vAEHDOnO1bt2aU6dO+f5JX82qV68eQ4cOxWAwMGbMGJ5//nlKlizJF198waxZsyhRogSnT58mJSXlUk/1stMzzzzDhx9+SIMGDejUqZOvKntn5UPdNwZDyLyW+lyPUsGckXblNlh4txoKLIGXCvKsBI6rttcrFHwK1kbNlSkVDFQGy7MptwcDhcHmEcwtGSqkXx+Grm8rt5uU+/o10j8v+uOqa6jOTfrZ1GPLMPo8/IATBOeI0fZ/CCxU9rVA5OBsjaiWLuffAwHFWwIP44eTUuoaFOWC3auNURzhBpX79JHYtyDC0SUclc/lk9rt7wgAGsxdq5+LCqD1zz3419WFgJ3pR6F/BXjnJP5wbPDnogzmoHTrtjkI/qHfSAEX5vz+UHUclH8cjkyGQZ/BoQzAC24P2JxQPFrk0Ly1NrSqDkRAhB4SyvFN2mM37EyHG6fCdRXF34t/QNVk+OExqF8Jf5V0I5TsAyVKwf2t8IfkS3gLgZBSL/W8pTtUhaEqAFZ/CVDXRQWoLnDFgEkLaccFBtkvDwwmiM8QsNFrxFecCPCFrJvcHhwWATDNOHBi8eXOdGLGqgFONUdnNnFYsfmqthtxk0AmbkzYsRKn/Dzkxkg0Niw4yCaONYuOM+2B9TR/uCYP/9mD/HKVNM+nvwp8JgnYsGLEhRsjR1H+z+WZBLCsBMwCTsjFkrdqkhGJ7q3C+ZoL7Id0kthHZe5mIQmcoiEbKL7RLiBnGizXuGSrc3CZjRo1iqFDhzJ16lQeffTRfz3OlaaPPvqIV199lQoVKpCYmMjYsWOpWVP/881/Q8ePH+fUqVNkZWWd0zgNGjSgRo0aLF26lNatW5+n2V14lS5dmk6dOrF79+6A70USsF3uIdOpqakBOUhBGFoaN27MBx98cAln9u+UkJBQqHP2rrvuCnh86NAhKlSoAMCUKVP45ptv6NmzJ/369ePAgQPcdNNNvpQEYYV1peiqClfPzMzk7rvvxmQykZiYyI8//hi0T+PGjVm9evV/LmlwWGcv/T89vY4fP06ZMmV8j8uVK8ehQ4cuxtT+U7ra81GCuNYeeeQRkpKSePHFF33J6nNycgD+k4nOVeXk5OByuTh58iSbNm2iS5cu1KpVix07dgAwceJERo8eHbTvN4WEsBclCSv1+TZBFFmWno1sAqGSPJ4KjKSChcCH+sVRNb6pY+hNYcEUCnaeiSR81EPHYI5OvdS8qGcb0q6CTtVpW1TIupTsrx5fXbs8RHXxFUqfUgh/mNT7QHkCpT5P8qfQiogQc4B3EIWdNyFyfcqQ8sKem1eB3xCRtWN1x5Ftlmv73kewHhsixN2stbkBAV07a/MJJnUdg4XwF5aaQO5zAvcaYH9tiKqISPpZTPvT57+Uj93KQPKxbCdBqXRzovS1gKGveFivHPS5EQbcCNFmv7MzJw8+XwPrD8DuE7B6H0RHgscDsRboVAdyPFCiGHS4FqxmcORBi8mw73mR77OArVjCyChxv96jYIiATe9Q8IlUX5jBXrwq1NTfNwW5Vc0zxfCH8ltEMSLQqq1L5yvKfbl+6jG07bnJoiJ7tSZw4iQULwbdekawfLkBr9tDcrlI2nYwYrZAjWutlK0uXmU2on0g1Ka98iyanVU6Ny04fI5QN0ayifNVRDfh5qCzNF+M287vM/ZTrX0Nbpt5N3kRsb4CQ7Kau6zYnkkCaZQibVcF7UlGGDb3ANMQIeUsR/jisxDvxnbEVZoM3AVYoQxQB/g/MD+axcOJ73Mfs4kjmzr7/oG1wGlYruWruOk8fQ3q0KEDL7/8coA76mpVs2bNaNKkCZMnTyYiIoLMzEyGDx+OzWYjPz8fg8FAmzZtuPnmm7nmmmsu9XQvqN566y3mz5/PlClTaNSo0TmPd/z4ca6//nr27t17Rbg5vV4vTz75JAkJCdx00020atUKt9vtyw9pMBiIiYnxfZa9HHXfffcxa9YsjEYjHo+Ht956i82bNzN9+vTLqhjUhVJeXh5Lly6lTZs2OBwOBgwYwJ9//klcXBzr1q3j5MmTWK3WcLh6EfIxqa4XKVz9y3C4emG6qiBnjx492Lp1K6tWrSIvL49KlSr9p6FAWBdHU6dO5bHH/EGEy5Yto3bt2v86ZCWsgvovhf8bDAYeeughZsyYQc+ePbnrrrvo3r27L23Gf0lr1qyhSZMmAdvKli3LqVOnqFKlCmlpaaSlpQGisqn+12lV32j/C1TYGQzEQXBYKYGQHX+AJIgaLCZdWz3YU3mG3kWnGsHUnI7BVNiz79K1KSoEPZSzU46h76d3ixYGO4MBZT2g1c83VHsJLOXxIxGgTzozg32O1APgYEA4D+iu3a+MKCxUJcQc9dtU5+g6YBci7N2MMJ6NxA9C5TH1eUfdiMJBAHdrYw5W+vxDwZyhCfijpusCtwJfA02BBwidU1b/XBbmMFX369fue2AucOAGBAUuhf8FEENwN6IqPVSU4DNPt88Is5ZDvw8h9x0w66Gg/onRFmX+JqheCkrEw5jvoXl1+Hk77D8JFiOk58LmY5A/BSKsunEkgAVfTswx8+HN7+G5HuBxw8iu+B2YwSCualZSDYfBwvnVfVIx+IsemYAkZZ+aA1VKrlsocGqCqTPhzRnQ8S54YTzM/8HID996uLdfJC1aGxn6kIulS9zUqGPi2GE3VWpF8sLbxUhIjAiofA5+8BmN3Vf5XDoybTke3LEiJ70Md88kgaOk4MbIsi/TWDNrJ2kb0+i24QlMCaJCuxOLr1J7JgmkU4JjeytBpkGc334E5HwZsGdQEHKCuAjrQVwrcd63IJLbmqB7u0/oxELa8iPRNjuWP2CVVuGr6Xn++mOz2bjjjjv4+eef8Xg8jBw5kry8PAYMGFDg/9iVrBtuuIEhQ4bQs2fPkG2cTicffPABa9as4dSpU9jtdn744YeLOMuLoxUrVtCzZ0927959XmFY7dq1iY6OviLysN9yyy24XC7++OMPALZv387jjz/O4sWLAfjqq6/o3LnzZZuTE2DatGlUrlyZG264gUceeYQ777yTBx544D/NELKzs6levTqpqalkZmZiMBjCkLMIhSHn5aWrCnKeOnWKChUq/KfflMK6ODp9+jRWq5XIyEi2bt1K8+bNyczMDGhTqlQpjh8/jsFgwOFwsHr1aipWrEj58nqPUFhhBerEiRPMnDkzpDPxv6DmzZvz559/AvD666/7wgBHjx7NpEmTyMrKomPHjvz2229UqFCBAwcOFDJaoH7RQtj1KszlKPM6upTHUiqktFIwB2SwcWUeUAlOZTuT1r+oz0cqywgFsfQOPvXY6vFcuu2RCIirQtlg56F3ZgYL41f7qnNWxysMdOorguuPDQJ42oLcqnk71T7qusnSJar0TtRg6QNMwP+AT4HeiAJEh4EtwECtnQS0cxDQMwFRHChKuz0CfKfN61ZEHZRlCLZ1M3Afwsx2EGFOK6O1NSIKJ92jHedTbV8oFcbBCpNcux+ASUA9RPGj0SaYWBcRw5+CsDPHEuhG1EstvKPeBrsINKBXbhg0qQRfDSY43JRyU3Ac6RhVc2kCnkiIMON3mzoouBBaX1cebDkJv26GFXtg6Q5InRnivPTnJvN/mhBPogxblxXb9dRfulvlGsbgc3IGOE0dun7y+LK6vAZa7+wPHgN07Qh97wWPcpG7TeAyiursp6KL4caEBQdOj4HZH7l59Vk7L85MJDPbSMYJL92GlMCIm/VrXLz00FFyT7uoUjsKh9PL0b1OEhIj8HigYjUjz86uhjciEidmjpy0kOW0EJmSjA0rhyjP/I7/47avH8KNiWxicWPChhWn9qTvpCaH91aFwwrk/BtRqWvZ7wiweQQBOUFcpY2g2q3iV4EjwKNe7q4yFzdGejCXpqyi2sbDrGogepxvuKnq77//5rnnnqN8+fIcPHiQbt26MWrUKF5//XV69epFREQEWVlZPPHEE2zduhWPx1MkMDxfOnjwIPn5+VStWvVfj7FhwwaGDx/uA1pnqttvv/2qg5wej4cGDRowc+bM8w6xd+7cSe/evVm6dClms7noDpdQBoOhAMC86aabWL58ue+x1Wrl6NGjl1UKqnXr1pGUlETFihU5deoUiYmJjBgxgmeeeYaEhIRLPb3LTuHCQ0XLt0Y9IP4Cv2yznFBsbhhyFqarCnKGn+SwLpZWrVrFhg0bGDNmjM9JBhAREYHHUzAb8DfffEOHDh3Ys2fPOX3ADCus/4LkD1W1a9dmy5YtvseffPIJffr0Yc2aNTRq1IiIiAhuvvlmfvvtt7OuSPqL8mPYmfhjg1XuDtVX8oR4Aqt/h4KdoNXUwB98qVZ7V111elgZqWyX4d56aBkqZFxCODm2CvzUcHu1rT6UPBQADDbPUM5LqVBj6ecQLPxaPS99KLvcp/YvzNmoD3+Hgs/76wgH55va4x2IwkDXauPvQxjQaiL4jFRXbR7ZwDXa/oqIfJovIa6ZzdpYNkTYewOC62kEVO0G9A2yX10HeV0EA80mXZ98RDj/ZARrKw/chqgm3xcRmu8ywGkDlI+H9b0RZDaGQMjo1t1XQ9oJMQnZ1gLH06DME+CdpuujPwEJ/lQIGAyiqrlEZZh3UbZp5YIrPxwOvKWFzKuV1eVx8pQ+Emrm4i96lKsd240Aw7Kiu5xDEuICiEGErMs5ylsJTVWwaVHGBW59CAwGKJcCk8dCYmmRoxNEuLsoUOSvyG5yezC6wBZjxma0YsHJ8awoWtfJwuOFanXMuL0GUiqY2LfDyZiZKZSrKcLXt21yg9NB7cbRmHDz/EPHOPSPi+hiJpLLm9m9MQ/MZizFo/F4wea2UOnOa6jyYEtfXk47Vt99G1a2UZtDqeXxbI0ROTjTgV8QSWdPLcAPOa2IV0cqdKoE0xxck7KNtvxINnHcyi80Zg3V9h0GYJ1m0250Eb7yDB48mKSkJMaNG0dERAROp5MWLVoQERFByZIliYiI4KGHHuK2224D4LnnnuP48eN89NFH530uHo+H0aNHs3nzZk6cOEFERATp6elcf/311KpVC4PBQEREBP3796d06dJnNGajRo2YMGEC7dq1O+N53H333XTu3JkHHnjg357KZacuXbrQvHnzC5aHddWqVUycOJGFCxdekPHPh1avXs3bb7/NJ5984tu2e/duVq1aFQDuV69ezenTp2nTps2lmGZQ/fjjj2zbto0XXniBzMxM1q9fT4MGDS71tC5bhXlL0QpDzstLYcgZVljnKKvVSl6e+Hazc+dOnn32Wb755huMRiO5ubkF2nft2pWPP/44XMEurCteO3bswGKxMHv2bNxuN16vl82bN9OgQQOSkpKYOHEi1apVo1mzZowfPx4QeWtHjRpF69atKV++PCkpKURERJCdnR0w9t9//x1Q8AuEi7N///5Uq1YNq9VKtWrVmD9/PgkJCSQnJ5/1/BcrVdj1YO5spQ+JlnCslLJddRS6EDzDpuy3I+oG2/GHwwcDncEUGWKfGuYdqr6pHvAFc4fqXZ96QKq2g+BuTnks/ToXdk76sGo9+NSDzFDuVfC7O4PB0sKOr45zAlEAaGeQ9oOBxtq4G4ByQAkE0IzBn0dTTUsgc4j2BL5AODyl9gMzEcC0BPAGBRnhYuAtYBHB1zFS114eM1juzRYIzpagtX0KEcKvroE8RingWDzcmAV/tIKWv0OiFSoXh9WPaW5JKRd+R2Iokq3b9tlKePknaFYV3usR4uTkE6h3csrjqS5NNZzcGKSf7CtBqFooSRvzlR/gg98huZgohJRcDBJjIS0TGlaEDx/CH84uoaYDf2Gl04gLQT42IZywJgTUrKztt+DPdSodmuq8lBymtz0m8pM+3Rvat4J2w+F/UyE+SjvfXMQbDeKxVxvHGQVmNRcqkF3MTLYxDjdGfl/ioWw5A2VrRpPviWDXJifVG8T4qrDbtTydVmw4sfjycrox4sDM/148wK09SxBfMVHbJqqu76MSmSRgJ9o3jtzv1kLWV2U1xWE3C9C5B/HCWAJ4P0Bkz7WC6XH4Ex5t+jLV2MMeqlGTnVRiP07M1GMzlfccY3t1cW7XXOZfdbp168bNN99M//79z4tzb+DAgaxatYpKlSpRuXJlXnvtNV84tdPpZNGiRT5XXU5ODnPnzmX27NlnNHZGRgYdO3Zk2bJlZzyftLQ0nn76aY4fP05CQgJjx47FYhEX49NPP+37rCyhq/xuZzAYGDVqVIHPAudD33//PVu3bqVMmTJ07dr1rIrjLF++nObNmwc1NZxP1ahRg2+++eayLei0a9cuxo0bF3DtnDx5ko8//pgRI0b4trndbsaOHcuECRMuxTQD5Ha7WbVqFT/99BPfffcda9aswW63X/bFkS61wrylaPnW6L6LBDlnhyFnYQpDzrDCOg+Syaqldu3aRfXq4tO1x+PBaPTHtMliRoMHD2batGkFxgorrMtdXq+XkiVLYrPZuOGGG+jXrx9lypThhhtu4Pjx40RERPDFF1+wZs0azGYzBoMBt9tNkyZNOH78ODNnziQ9PZ24uLgCcPO1117j8ccfL5B25PXXXycuLo7+/fvz2muvMXLkSN++ypUrs2rVKkqWLPmvzueXIgoTqUCssDbBQGIyInxaP4bqwlS3y2xzekCnz+2pbofgkDNYu6JCzuW56FMWhhonVP9gc9ArGCTVg8VgkFM/l1CFc/T8St2mujvl41BuWC/+UPR5yphvI57bfxBQs6NurnIdg81FPj6KKFb0BQJiJujOKV87RidElfefgXcR7s+PtH7tgQEUfP7PBCZLyBoJNENA1iUEXpv650cqEciLhTYOeLgO3FIdbvpC5NBsUgHG3AptZA0WHTAMeELU75ZGaD0JIrzw02DNNanmwJSh3qqLUo6jP1kZji5dly4CnZMSIkqHqf4iUeepy4mZ54FfNkL72qL/QzNh9V7YfBSqJcLSjhBtgHiPMtc83TxAwEyLtgaVtccpBEJZWdFenr8WDr9qNwyfAn/NhPaPwcAu8OMK8LrhnVG6czIqx4z1V2B3GSOwOPyfXbLjrdiIxonZBzQBXzg54IOSRlyYcPuKD8l98s+F/3OPE4tWXKg4+6mEEzM2DXBmI8CqjWhOksTarMYYTW5y9pcQFul30SDnAijTGeuOUzjsZp4vNZYWLOOklry0PIcozyHcmCi7I53dWr2b6lfA15yMjAzeeecdli1bRvny5f9VRefnn3+ejRs3kpaWRnJyMlOnTvVVTC5KPXv2JDc3l6ioKOrWrcvatWtxOp1Ur14du91O9+7dad26NYMHD2bjxo1MmDCBVq1anfUcPR4PW7Zs4Z133iE7Oxuv18vLL78cdJ4ulwun00nXrl2JiIggKSmJBx98kBYtWpz1caWcTiePPfYY+/fvp0GDBjRq1Ii0tDT+97//0atXLxISEvjyyy8xm80MHjyYpk2bFug/fvx4duzYwYEDB1i9evW/nsuZ6NVXXyUzM5MXX3zxgh7n3yozM5OmTZuyY8eOgM9sjz76KFOnTg1oO23aNFq3bk3t2rUv8iwDlZWVxYIFCxgxYgTPPfccQ4cO/U8UFzpXhXlL0QpDzstLYcgZVljnSV6vl379+vHxxx/7tm3YsIFrr72WY8eOkZKSQpkyZcjIyMDhEDF1jz32GLfffrsvbCmssK4EtWzZkrvuuosnnngi6P49e/bQoUMHatWqxXXXXUexYsU4deoUVquVfv36kZSUFLRfKNlsNmJiYtixYwc1a9b0fZh+4IEH+PTTT0lISGDfvn1069aNX375BYD4+HiOHDnig6yRkUX7NH8/wyrsetio9lHD0k0IE1UiEKmQonyXkn9TAxl2zVWVRUGwFCz8/ExDv9W+ar9QxYjk+RQGKvX5PiEQTpp024IdI9R8z0TBQKd+f2Hjyf423eNQMgLbESkoXQgQqBY+0qcAMAC7Ea7PpdpcBgFltbZORCh4GaAaIhy8Gn6HaTDAnY/wsO0BftTarwLuB2YAjyMgJcoYoQB4qOtG5gb9DcHT1Os6FMSun6wtTAXEhZ4ETgss3AP3/w/m9YFG5eCUHRpUJdB9qYOLrjyoNQ6GtIJHW+F/kQULQdc/wfr8mhKK6mP0JeR0KO3k2LlBtsu8mBKWurR20iUp9+XA1tNQ3gQbDsJTK8DlBoMXhlSDPDf0r4TfmakuZjL+SvXltXmn4HdhSrgpOWMU/LkJxr4H81+HhBhw5UDHUXBdLXi2J5hl3lE9VJZAVavabouJwGmxYHY4cGuF7ZxGsw88ylByPbg04fZVRwd8wNKNETNOX/EhKQkzT5HAMVLIJMHn3nRgxo3JV6joH0RKn5OpSXj2x4hfEV4GmkKxt4/jdpl4OXo0rfgdCw6yicOMk/LuQ8RvcLK/sbiWrwS4qZfH4+Gmm26iV69e1K9fn7p16/L888/zxhtv4HK5gsKYzMxMnnnmGebNm8fu3bvPKZ/gP//8w65du6hXrx4pKSl8//33OBwOlixZwpEjR7j55pvp06fPRc9ZmJeXx7Zt27j77rvZsWMH0dHRZ93/2LFj3HfffUyaNKkAKHW5XMyYMYOcnBwGDx7Mli1buO+++6hXrx7VqlWje/fuzJgxg6VLl9KvXz/69+9/UYqLrlq1imHDhjFu3DhKlizJ7t276dKly2WTp3P//v3MmzePUaNGBWyfMGECzz77bMA2l8vFpEmTeOaZZy7mFAM0adIkGjRowK233hpgPgmraIV5S9EKQ87LS2HIGVZY51nHjx+nTBl/GYilS5fSvHlzXn/9dZ577jlyc3OxWq3Y7X7P1/PPP8+YMWPYu3cvrVu3pm/fvowdO/ZSTP+q0ffff8/o0aP56aefzjjXVFihtWXLFlauXElaWhobNmxg3jzhafN6vRw7doysrCxiY2NJSkrCahV4xOl08uCDD1KxYkUGDRqE1Wrl6aefJjY2lgEDBvjczoUpNzeX9u3b8/vvv3PixAlKlCjhC2WfOnUqjz/+eNB+VquVnj17MnHixLOCqst1RYmKqkQt26j8RYVLpQCrttOkDCyhpjUKIrXP2vlusT0Lv/vT1x6CuijPBBqqbVTnon6f2reoCulqjs5gjsFgoC6UzmSNg83hTMY+k34SVhaW81OdZ6j5ynOWmcj6I8LI7wT+AK7T2mQiKpV/ht9JadKNoT+GHmpPRRQkciCMfmbgEwTDCzZf8Iepy+tV5mBVn8M3EOkPRwAtdXOSUq91K1ApBqyyCFFdsEXCoF9hbzpsOA4JVshzQdeG8OtOiI6E/RlQIhYSo+FEDszvD3Gx0HoKHBhHYIi2lJrTUh/CLQGmnJg6WQk1pTtSOiohMHQd/LkvpXNSOiBl2LmaZzMGf4Vz+UTI42swc2cGfH0EPjsIm24NMjfwuzOLIaCmDFVP1m4TtbnE+/v1nwh3NYO7btbNVQ921TVQ3ahaXtLc+AjcJhNOoxkjbswOB3ZLNA6tcTaxmBTbrASYEn6KpTNqT4PZt82J2RfCLvdlUpxs4nBi5igp2LDixuQbz4mFPVT1VV034iaTBI6tqgz/wP/d9xt9+QgnZlrxOwlkYsFBiRM5sF6c1/5bxDwrXcFfbU6ePMlnn33GgQMH+P333xk9ejQffvgh5cuXZ8qUKcTHx/P000+zaNEikpKSSEtLo3PnzowfP/6qd6QtWbKEiRMnEhcXR0REBBaLhaFDh9KkSROysrKIiorC4/EwatQojh075ouyMhqNREdHM3r0aK655poij9OmTRu++OIL4uPj2bBhA5988gnFixdnzJgxF32Nd+7cyfTp0zl58iTZ2dkcPnyYiIgIatasycyZMzGpHywust577z1cLhdDhgzxbcvOzuaTTz7xbYuOjsZutzNu3DhWrVrF3LlziYuLCzXkBdWBAweoVKnSZV3p/XJVmLcULd8aPXCRIOenYchZmMKQM6ywLpA++ugj+vXrF7Dt008/pVatWrRq1QqbzUaFChU4ePBggb4PP/ywr2KhPmy3MAV7Oev7nzx5khIlSgTtdybHCvWWIfsWNlao8zmT7S6XC6PRGHKO+uOuWLGC/v37s2vXLt58882gfcIqWnv37vUVy/rhhx+oUqUKeXl5/PTTTzidTiIjIylRogQul4vY2Fj27dtHfn4+1157LR07igDerVu3snjxYjIyMjhw4ABut5vU1FR+++23Io+vVlkPde1lZmZSvHhxHnroIYYNG0ZycjIvvvgib775JpMmTSrgMihKq5RcnaEULDRYsgQVIJYCEnXpd00msCtVkq0KzMnOFU5P8Ls/8xUw4iK4AzEYtAz21cceZI6ybTBnqt4RGipcPhs/RCvsP7EKCQsDiEWBz8JC94O1lXMP1V+fr1MFgPpbfZ5UK6KA9kfAIwgGthgBMuMQRYXqIRyc2Yi8q9WUeajwUX+rPze1sJLabyhwQLsfjWBdPQgeQi8V7DhaJDQjEWH6Y/A7UCOB4YhQ+WH4jYLxQKUkoDxkFocOW2FIE+hxHb6Q6+Nu+L/XYWon6FgbDpyGihrMSzsFN78HBzMgxwneyUEmrHdq6t2cqtNR3S7hpsyTqfZ3EwhKFThZwO0p3ZsuXX+Z11J1dSrHHLwR5h+CibWhbxWlnTpv8INNWWE9VjmnKATolLfAuh3Q72XY8D/87lQJYOU8pTtVLQIlz0eDql6LyMVpdLlwajkS3Rh94ec2LfemhJZimzXA3Skl28r+ap7ObOLIJs7n+DxKCk7MODD78nO6MfEPVcnWMhInk0oJ0tlGbaqyhweYRW22kexIFccxmYhPc8Ia2H+XmMOVDDcL05gxY5g7dy4ej4eIiAhcLhe//vorFStWvNRTuySSrtaMjAxeeOEFjhw54vt8EBERwWOPPcZNN930r8Z+5plnuOaaay5Kxftz0dSpU/n0009ZtGgRpUuXviSw02AwFPj+/fnnn2MymejRowdLliyhd+/evP766yQnJ/PBBx8wf/58cnJyLhosTk1N5eDBgyQlJfHuu+/SvXt3mjRpclGOfTUpzFuKVhhyXl4KQ86wwrrAGjx4MO+88w4Ahw8f9rk89aESjz76KE888cQZJzIPVcldfnAINc7ZgtOijl3YPPTbz+XYZwJi9eNXqFCBZs2aER8fzy233ELv3r35448/sNvtdO7c+axDnv5rktfusmXLiIiI4OeffyY7O5uWLVtyyy23hFy/Ll26sGDBAo4ePRrgaj4bbdy4kc6dO/Pwww/z4IMPcuzYMerWrXtGfcePH8+YMWMA+OOPP5g5c2ZA9c8z1Tqdq1MqGPzUuxeztNskRIESX18FXLpcge5OENskALVahLvTpZA8CTxVUKl3Z8o56nNb6uGmel+NalWLzKgsSS1iJMfUw0gJA9V++sreeulBql5F5d5U+4YCnaFyfAbLyRmJeP5UqKk/12PAswjgt0835uvAHGAdAgAmA+MQ8NGmG0ddF3k8CA4j1RB5fUoAdUwbomhQF+BGCjo4g/VT85HK+3MQeUdvA24BPtD2tUIA3DSEedONMDE2NECUGZ6pDE2aaCceQ6DL0gQeD2TlQUIc2OwQHQfPfAO/boVlQwu+JnxQTl0sCe0sym2ssqhyEaUzU0pCRgkxpQtSAtDTWhvwF/lRCxaZlHHUW10RH+msvHMpfJ8KfzeHxtK8pNJhuTYScKrgVSoGf8X1YuCJg1ufgHmToURppa+LQMApz0k9H/U8LOBKEpXW7RYBGk24fSHpFi0c3Ua0D2yCAJ6qo1OcrskHPPX5OWWOz1Mk+CqqO7D4XJ0SdAJkkkAqpUjiJC1YRm22sY/KPJA1G1uMmehcJ6bT2vMUBWyG/Z3FaV2tgBOgdu3abNiwAbPZzNNPP81nn30W9AfysM5NWVlZ3Hzzzaxdu/ZST+WM9M8///Dcc8/x448/kp6eftGPX7NmTbZv3x4ALLt168acOXMwmUy8/PLLDBs2LOCz4vPPP8/SpUtZsmTJRZljeno6+/fvp3HjxmEH5zkozFuKlm+N+l0kyPmhKE5mNBoZPHgwgwcPvrAHvcIUhpxhhXWRdPr0aerUqUPTpk1p2LAhzz33XIE2V/jL8bLV8ePH+e233/jkk0+oU6cOFSpUYNKkSTRq1IgaNWowZcoUX1vplNDL4/GwatUqKleu/J8If581axZ//fUXCxcupFatWowYMYI2bdoUmQvK6/Xy3HPP8eKLL3LkyBFSUlLO+tj5+fk0b96cVatWAbBu3ToaNmx4xv3Xr19Po0aNfI8NBsO/roK6LkSezmDwU0W+EnLGA2XVaHn1tw13cNem3SHC1iNNfpdnvgZ1JPCUeT1lvkYptfCRCivlPsl/spR2+vBs8OflDAUnQzlBVZgmx9K7IdH1UeeoB6iqs1LuL8zxWViuUP22YH3k9mgKrq1s9yvwLQLyATwHlERwqGxgElAJWIHIxVkcaKSMo56bFT9Q1QNPvXszX2kHBeGovH0XUSm9MYFSnxvZL9jxADYCTyOqq5dF5ALtiQCc+uvqF+B5YA1QKgrik7WDJ+IDdJ44UXH9q00w8jtIigG7C/KcYDXD1qOw6SmoXUq32GoIunrBaBDxmvHgNUDxWLBEitD4Tx+GeJkuT4aQGwm86CW8PIpIdlpKuy8dkTL8G/x5OWUouASnKjwNNkcTfLQXRmyF9Db4YaR6Xkn+tj4oqXepyn4mIAW+2gYvLIIXH4F2t+GHpCi3LgLnI2Gn+lgL389KNuM2GrUCQi7sRGPWSgXJvJnSjenQcm2acPtC2lU3pxmHr0iRdGRKGJqGeHLlGNnEBYxjxEU6JYjGRju+p4FjPTE7PH7IK88pA5EkF9jfS9xejYDziSee4MCBA9hsNjp37kz//v19+5o3bw7A3XffHTI3dlhnr27duvHKK69QuXLlSz2Vs9KNN95Inz59GDBgQKHtTp48ycSJE0lNTeX555/3Ren8Gy1evJht27YVuP7eeecd3G43t99+Oxs3bqRr164B+x0OB5mZmZQqVYoLrYyMjIuSO/W/oDBvKVqXAnKGn4/QCkPOsMK6SHK73dx8880MHz6cJUuWcOzYMRwOB4sXL/a1ef/994v8kBLW+dPw4cOpVq0aU6dOpWzZskRHR5OamkpcXBzFihWjSpUquFwubDYbJ06coF69ehw6dIjTp09zxx13MHDgwKsyB9ZLL73E4sWLKVWqFBMmTKBWrVoF2uzatYvatWvjdrtp2rQpbdq0ITk5mcWLF9OqVSseeughihcv/q+O73A4mDZtGmlpabz44ouFhmHl5+djMBgC2jidTixa6GXNmjXZuXMnX3/9NXfddde/mg/AJh3sDObmVJ1yModmPFAqheBx5NKRpst/n++AjNNid5wuZycEgk45jE3pr6/wrp9vvtJGBXz6KRYWri/7qAoWFq6CzsLGDbZd5UXB8pEGU7Aw98LAZ6ixg4Wmy9scYDkiPB3gY0RY+pnMSc+v9PPRA2Hp4LRR0AmqQnUVEg9FgM5gwFttK7fr59MVkY/zHgS8DXVOciw7cAMwGugHlIsBawrsrgQDtwEGOGQDjwGqJcHCvsLxKV2dB07D6Vy47jXwesFigo71oFkVuKUWZDmgeqJI+2CzwdbjsO4wvPALONyQngP73oBKyTD1Wxj1P6iRAtekwIjboWl5/IBMujYzEHAT7b50QUqYiHJfAkHZVzojVeAqH+sgpdMJUd+Cq4uAvL7wc9lGdW8Ge49Qw/VN+NyxmRao/gjMnwotbgl+7ID3F7duHFUmOFXG6nNUOjD7XJyii79mejpJPkip5uQ04iaO7IBQdjXnpgSemST48m+q4e3R2KjKP9iw0pRV1NpywA+o5fMCYtshOHKveFj2yv4KE1Jr1qzh/fffZ8aMGYW269ChA5GRkdSpUweLxVKg2EtYZ66OHTsSGxvL559/XmDfihUrePvtt6lWrRr9+vU746r1F0sDBgygdu3aPProowHbbTYb06dPZ8mSJeTn5+N0OnnmmWdYsWIF6enpvP7662d9LJfLxeTJk2nYsGHIoqmTJk0iKyuL559//pLmDO3atStz5sw5o8KTYRWuMG8pWr41GnCRIOf0MOQsTJfunSessP5jMhqN1K9fn9jYWF/4OsCiRYt8uQv/bQ6hsP6d3njjDQCGDh1aYJ/L5WLlypXs2LGDli1bBhTJ8Xg8fPjhh3Ts2JHixYszduzYc/pF/HLSH3/8wXvvvUelSpWYO3duyAqUBoOBP//8k+XLl3P8+HGmTZtGt27dWLx4MYsXL6Zhw4a0adMm5HEcDgczZ85k0KBBBfa1b9+e5cuXs3nzZqpUqcKhQ4do0KAB7du3Z+nSpbzyyivMnTs34AN6lSpViI6OZsaMGfzf//2fb/vOnTspUaIEM2bMOCfIWd/rZbfBEFAYRi+VLUQq932OLzVnYKjkmS6ItAgXp4SZ8juCzOWpPna5NFClODtluLUqfci3BGWqS1JVYcBRHU/fJtRXCekalLk7MxAA2I4AhKFC5NX55Cvbg+WuDBbWLiXdivJ+PIGwV3+sSALPV4WByUB7oCYC7PXRtRsPVCcQUOrXXZ672g9lXqqzUvZXxwlW3R0gHb/pbQ4wC2FS7I0IOTcr52XC71bNRRQzSkHkDt2GiP5W0w/IPuCH4t8g8o+CqCbfC0jIheh9sGU/3JoM7/wfItQ6BuFczEeUqDdBhAcqm+H99VA/BbYdh28fgC0n4FgWjP0WYiJhyR4oZoHqJaFcPNQoCzufh9hiMP1XqDMSct+BR2+FR28X83njB7h1EmS/SyDgPA1s0OZzmkB3pQo51Qsxl8CcnXK7dHdq2zKc8NoO+OEklLaAywBP1IOIOG1BZV/1Ape5N2Xoep62XijrpoOYCZFwSz0YMgFqzAKvCZ57DBpcS2CIvXosGVIvc4ZKRUG0zY472hhQMd2F0Qc7VZAZB74QdCNubEQTjQ231l4M78Kp+UFdynhmnNhIII5szNobowUn5TmEGyPdfvrGD4FV9yyISlvuqx9wAqxdu5Ybb7yxyHbffPMN3377LdnZ2axYsYLq1avTrl0732ebsM5c3bp1Y8aMGbRr147o6Gi8Xi92u53ExETy8vIYM2YMR44cYfjw4URGRjJlyhTKlSt3qacNwCuvvMLtt9/O1q1biYyMpFSpUuzbt4+///6bdu3a8cUXXxAVFeVrn5uby8yZM8/6OC6Xi2eeeYaHH36YKlWqBG2zY8cOoqOj8Xg8lxRwfvXVVzz00ENhwBlWWP9RhZ2cYYV1EeXxeBg8eDDvvvsuIH5ljYmJ8e2/wl+O/0kdPHiQsWPHcuLECe666y769+9/Rbo7PR4PPXr04MSJE1x33XX079+f9u3bs337drZs2cKhQ4d8MD6YBg4cyFNPPUWlSpX48MMP6du3b8i2M2bMYMCAAUREROB2uwvsT0tLCwhlat++Pfv27WPbtm3n9Bo5H6+v/YqjU18YKFIHH+0uwXPKFoNIJSehT2pIqbo9D+y5kJUrqq/HxxDgxpKV2fXOTjmXYCHpeqnOTbtyqw8bV3mPfBwqdF0NdQ8Wzq5KnrYK+qzKrf4Y+uPp3Y+FST1XFcSq24NB20gK9nUhoKw+9+gB4HEEvAXBZz5COCH1offBxssmEPDK2yz8QDOY5By9iEJD0dpYdbW5HAW6IS6fRQjOVRwBQ6MR3M2NgLIm7XaRNqcZynqp85bPUz4iL+lviMru1QiEuGVl6Po1+KuGy4rhikPy1d/grRVwcAwFLxjt1uMUtz43pMynqanZK3AoEw68gu91lemBEsPhrc7wyPUIUJmhnbya11Hmu5TjyQrs8r6LQPemPL4Ep3K7Car9AP2rwqN1wRQJpnj80DIYwc9FkOUc7TZXWyMViOrD4KVMsC8LKlcCZwLcPghat4RnHw2cU0C4uhr+L9fQBK4YsMWYyTYKx6UEnW6dzVytmC7lr6BuwYmZTBJ88FPm5JSg1IWRHOIC8nYmkEkrfqfs8nQ4pM2pGIHXQgYc6SYeXs1wU+rAgQOMHj2aOXPmnHXfcePGERUVxejRoy/AzK5u2Ww2MjMzA9Ls/PzzzwV+sF23bh2dO3dm0qRJdOrUqcg0PhdDhw8fJj8/nyNHjnDixAkaNWpEUlISsbGxAe2+/fZbpk6dyr333suDDz54Vsd49tlnuffee6lTp07INq+++irDhg1jxYoVbNq0iaFDh55zHYCzkcvlYunSpSxfvpxRo0b5onrCOjeFeUvR8q3RQIi/wJddlgOKvRd2chamMOQMK6yLrJdeeokKFSrQvXt3jEZjwC+dV/jL8T8tj8fDe++9x/fff0+5cuWYMGFCgSr2l6uOHDnC/fffz/79+3n11Ve55pprGDZsGPfccw8LFiwgJiaGSpUqsWPHDr777rugY3i9Xh/cPXbsGKVKlWLbtm1BPwwPHTqU06dP8+mnnwIiT9SePXtwOBy0bNmyyPnm5uayadMmZs+ezYYNG1i3bh02mwjYvv3223n77bd9ztovvviC999/H7fbza+//vqv1kevVO0Du1UzRkQa/QWC1ErpWRoYiY8Ba5JuEAkfgtkWXZCfK1ybkUawql/4NeVr7lCXKxB2SsCa7/KHzEPBokFymwoaXUr7YHlIZRu99ABO37cwYCkVjP8U5r8oLNxcHU/fPhgs1Ef4qu3V8HE5rj7nqOy7GMHQyiDyWQL8HGQu+vmrz4EKeAsLu1cLBDmByYjo66lKexUE5wKdgLHAdOBFBMg8icgtmgv8AbxGwctRv27qut8AvIzI1ak/Zhxa6HoDhINTgkTltbD4IPSYDxmjwBRNYB7MYCcvQ7zVbdr26KFQMhb2jREOUVyw5jD839uQPwEBErMQkDMNf4h6PH7YGexiQLdNOrPzADcczIIR2yDLBT+mQbFIiDPD4VzwDg9yLmrIuHxty7WJUvbJHzbUyvI5BObXzNPWUyPUnR+H6a9AiUT/WF5tTb1e2LsHEopBCT1ENEFufAROi4VMEnxTVSutuzUnpv6+EZcvRD2dJF+hIkDL7FkwvD2VZJxYSCCTBqynyZ4tsFJZE/lcgACcV5l78/fff2fkyJGkpKTQoUMH6tWrR0ZGBjVq1CAjI4MJEyaQkpLi+0H8bOTxeGjZsiUffPABNWvWvACzDwvEj7Ft27YlNTWVo0ePXurpnLGuueYatm7delY/xnu9XiZPnkyjRo1o3bp1oW2//vprSpcuTdOmTfnuu++IjIwMGdZ+vpWXl4fVamXOnDncc889F+WY/xWFeUvRCkPOy0vhcPWwwrrIat68OS1atKB69eo0bdqUw4cPk5ycHA6puMIVERHBoEGDGDRoEJs2baJLly688sorNG3a9FJPLajy8/PZv38/M2bMYPLkydStW5e5c+cSGxvLsGHD+P7774mKigrIEdutW7eQ4xkMBt5++20GDx7M7Nmz+fHHH/npp59wu90FPky/9dZbvvt79+5l5syZvPTSS2RlFeY99CsmJobSpUszbdo0rr32WiwWCzabjX379lGpUiXeffddmjRpwt9//81HH33EL7/8wvbt289yhUKrlPZFO8tqINIowKJJgy9qiLmEoFY95ICQjjXpIIvU/3fWPY7UyFmkSQtVV4CMnE+k4iaVIex6uAaBRW0CjkHwMHcV+Kmh+aEkgaDquNQXwQlyigW2hXKQFhZGr1/ewtropYbH6x2NwdZM1paxA1UR0bXBkj0Em5M+N6YMJVehp/6YJsCDyMF5HyKPppSLQIduLKLq+8eISPGHgcramE21Mfcjwts7ImoGqesgdUA77k9aW4AGQdrKVABZuWDaApF18UPFDEQxIivcNx9+vhdMHvxh1kYCQ67lyapSi/5ojkrba1D2OWg+FZZrWTAal4Pu9aHiRDhwP5AOzpNgNoPTCpZv4bcboVVZ/PBUg5c+GKn8IOHJgYNu2HwcPjgA1ghYfQp+uw3cUfD4CtiXC+2rQLe6+J2TKGNJUCsLBsnQdD28le7R0wSCTRlin4u/eFIK5KSC1wW33gcbfhFtXcDIZ2HNRqhdB5o3g1694Zqa0P8++GEJxMbCrPfB4vBgtwio6cTvTJMOTJPm4jTiDgCcquLI1sLSHb6K6XFk+6CoDSvZxJHCMSw4KMNRmhzaItIH5OLPTSqf39OQeq847VJXCeAEkbPwt99+w+Vy8dVXX/Hll18SExPD/fffz2233cZLL71UqFuuMEVERDB37lzuuusuFi1a9K+K/4VVUNu3b2fkyJG43W5Onz7NwIEDmTdv3lm7IS+lMjMzqVq16llHG3366ac0b978jD7Pbtq0iVatWvHLL78QFRXFrbfeysMPP8x77733b6cdUqmpqURERFCyZEl2795NjRo1mDdvXqGfVcMK64JLH511IVQwCC4sncJOzrDCugQyGAxkZGT868IsYV3+OnnyJJ07d8btdtO/f/9Cw7cvplwuF2PGjGHt2rVUrFiRu+++m9tvv933obdWrVqsXr066Ptp9+7dmTdvXsixMzIySEoSNq2kpCTS09MLtLnnnns4fPgwy5Ytw+FwEBUVhc1mo2bNmuzbty9kDtBg8ng8hX5YnzNnDl999RUPPPAA7du3P+Nxz0b2WENQiJmvJ3JApOrm1JM9edoOZb8MJ43S9dGPoUEee57fUaqmwrLniSY2pUsoR2Mwh6E+96XsHyqK1qq01zsu1RBw/RzkFRcMbOq3yePmB2mrzhHdPII5EtW5qe5WFSqGcpkGiybOR+S0NAMTgacQ1dZDOSRVx2g+gaHw0kWq9rXiD28foD02A6Pw59GMRDgsOwF1ECC0GsL1+RtwG/AC/hyg8nL7HFG42omAniCiqO3AcUS1das25kFETs5qCAdpAoHwWs41HigVozmSZWh4MpT+Fe6tDq+3xg8D1VySWvXvAu5KGS7uUO5r+1xA5BjwvgS3fgBL9sK1pWHjcXivOVSPgFv+gJ7l4LPD/jVtnwLftCTQKSrlgGOn4P398PdJWJUB6U54rwncUwGKFYcZu2DAUnilBTQoDW0q46+Wrro2Zd5Pi/ZkoZynhKsyPD4GATDV2zQCAaeEwachzQwt54IxCrYegBdHwexv4K3J0OxG8ESCyxiBx+7BgYEYtxejEbrfD+XKw9RXwGGJINsS5ytAZMLty6lp0r5V+QGnOwByujFhx4oLI25MZBPny9Wp9sskgdpsI5s4KpxIEw7Og/gBt1yXHEjV/m1eTYBz586dTJw4kY8//viCHmf48OG0atWKTp06XdDjXK3at28fu3bt4vXXX8ftdlO8eHHeeecdSpQoQVZWFu3bt+fgwYN8/vnnV0w+/dtuu40nn3ySW2655Yz7HDp0iGnTpjFp0qQzaj927Fi6du3KqlWr2LBhAzNmzMDpdOLxeM572Hp6ejrDhg0LWiwqrPOrMG8pWr41GnKRnJzTwk7OwhSGnGGFdQkk/9F/8sknPPDAA5d4NmFdSB09epQ77riDRo0a8eKLL14yV8WRI0do37495cqVo1OnTvTp06cAIJwzZw4ffvghP//8c9AxioKcEFjZPJQ2btxI5cqVqVy5Mq+//nrAa6Bs2bIcPHjwispr6gOdKp+VYEMCGLlPurYkzDBR0O6n5v+TlYXVX21dQe5rt/Zc/658tz+UXoJOWWgmWAh5UbktwX9a+rZ6GFlUqLnaJ9gxVFAm560WDtJDRbWdfuzCHJNq21Dh4eDPw6mOEQryqtqDvzDRbxQEv7K/CjJVuAmBOU7l8eW+NkBZoD4CfD6GuORmAWsRl1YH4E+tXRpQGuHqlJJQVw+0b0CA0zaIUPg4BLDMBh4A7gDuBPYCHwK1gZEErq9dm8dMBATdb4CoSPBEQL04+OZWRLi1Ef9rQw6gDx9XpYH9gMcmaD0Ddp6AI8Og2jvwTVfYlgrefGgUDzW+gINtICUWKn4PBzXn9IhasCwdVp0Qj//pAlXixDFe3gRPbYREM6Tfpx1PwlilmNiLf8GzK+C91vBwPQKrgsv3hySlnz5PrzynHO1WdXKCH4LK++pFqBUT2pkFOxNg0KdgtMCA++DJ50QXhyUCt/brh1v7MSnzlIfObZy8Nd1I/WsjMLpcvpB1fe5NwBe6bsapFReyBDg/9aHpMpTdggMrdsqeSBfANhlxu0+7lS8iuS4OSB0oNl1NgBPg7rvv5rPPPiuQK/F8q1mzZnz77bckJCRc0ONcjerXrx85OTlce+21VKpUifvvv79AG4/Hg9PpDCjoczkrIyODChUqkJGRccY5RPPz8xk0aBDTpk0r8nPd/Pnz6dKlCy+//DI5OTmMHz8eg8HgCyEPFtXzbzV37lzuueceOnbsyMKFC8/LmGEVrjBvKVq+NXr0IkHOqWHIWZjC4ephhXUJVL16dTZv3hxOiP0fUEpKCrNmzeK9997jqaee4pNPPrnoc7Db7Tz88MOMHz++UEfj5MmT6d69e8j9O3bswOl0FvoB2Ww2+0LFExISyMzMBKBkyZKcOHGCRx55hNGjR9OuXTtKlSpVAPKnpaVdcblprTnafEtpLgV9qIoKaqQzLZhU8ClvVRAi+ylFiPSUTTo4XS4/4ASRF1TCTlUq4NOHr+unqXcTqlBMnYYe4Oml9gm1Tz8mBEJGe5CxVbemuoTq2MHclFAw7F4fiq6HtnJsdU76EHwTwuWoP77+3Ez4IWqkbruaE1TeqoD5NwR03A6MAZ7R+pcGvkSEl/fS7lfXnYcKWOVx5Tn30+a5EAFJy2vb3doxkoAntG0VEaHydyOKL8UjgOZyBHtrDLwF1AJ+NsKzLhiTDAOq4g9RjqXgEyZ/IJCh4/Ka17M3BfQnRcF910Db2dCoBFxjghplwDRdNPnnFkjRQr8PXCeO542G793w1yl4/BqYsh36L4VfW4ljlo+ET26AB6prx1EdmJq2ZwvA+XNvKFcWUdJeVkxXc3Cq7w3y/NT8mrn4q8CrldvVdXAoa+GG9HxIioA/0qDVHCgTC4feB2NxseheFzijwG0y4TYaA+BlVp6JDWsdVG0YjdPgwepy+ULL7drVoBYbUvs6FcurbC+dnxYcPkdnHNkkOU4Ss8EjCgudRgBtWQBKLd50GoiB1CevPrgJojiM0Wi84IDz4MGDGAyGS1rd+krV0qVLcbvdRf6gGxERccUAToC6devy4YcfnjHgdDgcjB07lgkTJpzRd5UuXboAULFiRaKjo31mjqioKA4fPnxeAKfX66Vnz57Mnj2b4cOHM3Xq1HMeM6ywwro6Ff7vF1ZYl0C7d+/m8OHDvuIoYV3dql+/Pm+++SYvvfQSd955J82aNePJJ5+8KG7F6tWrs2fPHoYNGxYScHo8Hho2bEi7du0YNWpUyLG6du1KyZIlOXDgQAF3SFZWFp988gnDhw/3JakvVaoUZcuWZdGiRfTp04drr72Wd999lxtvvJGhQ4cWGP/ll1/mySefPKfzvaRK9UJZJRxLhr5KsCmBpYQeOuCIkUDCJRMjBgOa8r6bgLyBkcXEuJEWUZxIFiICAT2JErk6ZWGiwqSGT0cqt2oosh4Ogh/2FebUlLd696CJQLioAj6ZsdWuayeBrFqdXQ2nh+DAU8JUKPhhSLpJg0nNT6o+HUrqRt8xAeYiKp9/ioCHhY0rx1HD2OV9GaJuJdDpGQeUQ1xmTyDAqguRe7M6wkmpAmD5vLmUY6UjQtjtQD1gK+Jy3Ao8inCAZiLC7jcDGyn4PPyMyBGaARxBhMi3BkYjoKsNaOWC5VaofhwGlNQ6xmiTz8VfiEcupvxurf4AoMI/NZw9HSpHwRtroXkKfHAbTFwHT6/WhugAEU6lfywQD4ZicHIX/JUqhnPcDWYPPqh4/zXQcznUKwf7s+FYHuxMh6RYaFURbqgED80H+wThUvVVUpevc/WHDRmGno4fbkrQqxY0kuesSvJF+eOHFq5f4gV4viVUKQ7258BshIgD2hOzDwwVwBIDxhgneWYDWemwcVck1mgDc+cIkOh0mzCY3GRb4rBoLk0zTpyYfWDTpQBOO1YMnnzW/JnPD1/aOXoUcrJy6f9EDNe1TULWWk9yHyP+oBN2IEi8Qzl/CXOlNDfq1Qg48/LyMJlMvPHGG5jN5iJTrZyrJkyYwJgxYy44TL3StXXrVr744gsaN27M6dOnmT9/PmazmVdeeeVST+28qlu3biQlJRX6I7aqw4cP88477/DYY49RqlSpItsvWrSIli1bcuDAAfbv38/AgQMD9pctW/as55yfn8++ffs4deoUN9xwA6+++ioVKlRg9uzZHD16lDJlypz1mGGFdVFkJHhC9vN9jLAKVThcPaywLoEMBsMFyU8T1pWh6dOns3PnTiZPnnzBjjFmzBhf8YJHHnmEvn37Bv01vn79+r4vW3/++WeRX4ratWvH4sWLAWjVqhW///47VatW5Z577mHYsGF069aNpUuXBvQZOHBgQJXY3r17+yqrA/z4448XrfrmRVEJgx9QyurN4A8rBfHlPkjxlACp/9KChavr46VVR5S2LV8JXwcKVGMPBjuDhX+rj/WOyMJgpj5sPFj0seomjSSwsI6aR1MeX52v3jmpn0+wEPRgIfX6Akt6yGlHwEQ5B31IuTp/vQvWBswDPgCWAQbdXK26PvrCTsHaSlApj/kmwtU5AZEvEwqepxr2rp97OgJImgH56r1Bu41DAFaAXxGX5XQEt6oPbNH+KgB1EdHWEdof2rkvBK5VjjcdeDcC6sfBHy0RYLAY4oO7LMijTwEB/teMmpfytNZOo+Bjl8F3hyHXDeMawj2/wYza0L88/sI2coG0HKGvrYY/jsO3R+HJavByffy5M7WFbPeDqJj+TAMxplSXOjCxJ1QvrcxRAkzVkS3DzuVrUoacO5R2+jB0JRzed6tsf/UPKGaCAU11bfLEedlTINsEJa8Va/XaDIiMN3JdbTd5URZSU2H5nwaemBCH1ewJqKbuxIwDM25MGHGRl5PPwtlOVv9qw53vIcIA1a4x0u6eGKrXMZPpjGLa6FT27XIz9KkoOjTMwLIZATcPKecm10hCYJd47lKniV1XOuDMy8tj8+bNzJo1i0OHDnH69GkiIyM5duwYFSpUYOfOnaxfv/6CAsi8vDzq1q3LDTfcQKNGjahVqxYpKSlUqVLlP/Vd6ddffyU7O5uGDRtSoUKFgH2bNm1iyJAhPPfcc/z0009UqVKF22677Yo3Hzz//PPMnj2bxx9/nIcffpijR4/Stm1bNm/efEb9v/zyS1JTU3n44YfP2Ak8YcIEvv76axo3bsyQIUP46quv6N69OzVq1PhX55Camsrzzz/v+9z4f//3f7z++uuXbSHP/4LCvKVo+dboiYsUrj45HK5emMKQM6ywLoGuv/56Vq9efamnEdYlVJcuXZg/f/55HfPkyZMMGDAAu93ODz/8QKVKlWjSpEmhfdq2bXtW1UFPnDhBcnIyAAMGDGDIkCHUrVuXDz74gIMHD9KmTRtatGjBE088QatWrWjbti27du2iXr16AeM0a9aMn3/++YoK9zorlTKIkFWZh09+V8jDDzRVx5YL/xd/8Of8U8N0VenJovrYHbgtX4MragV2CTrV8HU97AwFP/WOzmCQ80y+GulNqeoxQhUh0sNA2VdfGT6YQhVbsuqOE8xpqXeE6kGrOr5+PdYBO4F/EKHjyfghqnSpotxXCzPpIa80+GbjB5X5CAdnPAJy6uesd99KR6g6diTwECLEfK22bSPCearqekSF9rsQDs8tiBD1SERo/GbE5ZeEyM+Zpu3bhACo8pjxJphrhkE28DYWHWwWiK6gnaCcsMzLKeUg8LUkt7kQpFar3M5pOJ0PX6bB6G1wojWBBX5MCKiaiz8EHPB6YeQOGFADaiRCqhNm/QMLD0FGHoy8Do45oUwJaFkb1qXC9GUwfxCYvWCximP7iiJl4Aey0q2pzl9/gQcDnOCHm5rTNT0fnvseIgww5V4wm3T9tTy+nd+DdQfhmlqw7wgMGQZ9H47A5PbgsJgxulxkW+KAwPBzN0Yf4JSPuzfYT+/H4mjbLZoS0Q7fdrX6uhE3RttpJjxsI/sQzGwP0dnK/F34Ia8859OQ8bF4mJh/RX8lASA+Ph632827777L3XffXeC7SVZW1kX7vnLw4EF++OEHMjMzOXbsGKmpqbhcLtxuNx6PB4vFwsSJE6lcufJFmc/F1JQpU9ixYwe1atVi+fLleDweKleuTLly5Zg5cyYNGjRgxowZREdHX+qpnhcNHDiQDRs2kJKSwrx587j77rtZsGABdevW5ZNPPuH//u//ihxj5MiRlC5dmieeeKLItnqlpqayceNGEhISaNKkCYMHD2b06NEF4HJRWrJkCSNHjmTz5s1MmTKFIUOGhA0hl4HCvKVo+dboyYsEOSeFIWdhCoerhxXWJVD4H3ZY51u//vorY8aM4aOPPqJ69epFdzgDnT59mjvuuAObzcbGjRsD9sXFxRETE8PWrVupX78+QEAuzSlTpjBlypSAPomJiezatctXgf2qlgxdr05g2K0MXc0jMIzVhR/C6N1rwUBnKJuk2l6GsCuh6xCYrzNS25bvKgj3IvFXZA9VlVxvJtVvL0z68G45tgwjV/NlqvuD5cdUi/Tox0c3fz1LkpJ9Q62DGp6uFkEKlr9TPd4yRKj6SmWfGoYfzB0r7+fjB5p6qJyFH5Q+DjysbYtX2uUBJ4AayjnL/J96KFsRUVBItrsW+AT4HhFyD7AaOInI//k4sEI5h2raGHL9NiDA51D8mRrk+thd0N4F+81wxxY4aIC9DuhbE965RTuJKAIqp/uclRJqyn3pCJoKAqCdFm7S+7bC5Gpw9BaErVSGhoPfAarKBAYLTN4NParBB7th4UGY1hQG1oTY4vgLJGmAtEpVKGGGO96A5ftgy0Cok6KNLR2Vp/E7SKWrMxdRtl5NZZGLP5xd/uDhpmCaixh48mOoXQkeawcGueB6F6gLFjwBD38CZctAtUow8knYewTGvaQVCDKZsODUQtIdAVDTghObhi6NuKlcw0S33latmJARKzbcmHBixqyNEUc2JVJtTO8MW36HTm9D53rwcDPtnCSYdvmfs4w5VwfclDp48CCDBg3i5MmTQb98XswvpBUqVGDAgAEh9x88eJDHHnuMyMhI3nvvvaumSFFWVha//PIL33//PQCPP/44INybW7du5fvvv6dixYqXcornXQMGDOCdd97hgw8+AMTnrbZt2/LRRx8VCTjtdjuPPPIIjRo1YtiwYf/q+G63m4YNGzJnzhyuv/563nrrLcaMGcN1111Hp06dCv3ec++995KcnEzv3r259dZbefrpp1m9enU4p2xYYYX1rxV+9wgrrIusvLy8M/pFNayrW3FxcaSlpflckf9WJ0+e5N5776V48eIsXbr0vCV3z8rK4v7772fFihW+7fHx8cyePZs777wTl8vFyZMnqVu3LrNmzaJnz56+ds2bNwdg0qRJLFq0iD/++AOj8T+YQOaIBjpl3K+ED0blsbzvJiA0tgA1PBfQGavBTIeAmdYocWsygcsIdoe23+WfYqRJtInGXygnWA7Pc/0QEQyQQmC1b71LU59H06rrY9Lth0C3pdwep+xTXY/BivNEU9D9KNsHq/ouw8kBSuKHgWq/YHM1URDIWhHmRhWGJiJMgnJOidr5vItINTkAASi3IC6rnUALoCcCRKrPp4S33YAFQHPl+A20v8YIZybaOCBybY5DuEf1+T7lOpzW/jYC1yGuPXue2GcGnvRAYjk4Hgtd9sPGVEjLgmQ1F6fqiMhDkFwjeP6B7Rmw6AQ0j4Fmyg8Eccvh2C1Q2qJMRoaQg9/BqVZJ1/ad7grT90DNBPj2Fvxh9NKNmIE/H6gRWlWCPx8CxxGYugXeXQ4RETC1JUR4tLFlnk55Lsn44ab62k/R2qqh7NIJCj5n6ztD4bWvYfVxaFpLa5+k3apE2QW3NYKjNvi/hjD+KYiobsJpNCtNhAsT/NXQZch6HNnYsOLGRAQerNhxYibOl8AArFqfOLIpvs8uLrodUNcKPz4AL6+Gdh9A45IwrqlYG9JF36sNcAIkJCRQp04datWqdamnUqQqVKjA/Pnz2bJlC3369CEiIoLs7Gx+/vnnSz21c9L27duDwuT69ev7fpS92tSoUSPS09N9j9WUQIXJ5XL5CkKeyzWbl5fH9OnT6d27NwBGo5EXX3yR5cuX07JlS5YtW8b777/PQw89BIgQ97y8POrVq8f//vc/AAYPHszBgwcpX758yOOEFdZlL7XY4IVSqDxRYfkUDlcPK6yLrNWrV7N161b69u17qacS1iXUvHnzOHbsGMOHD//XY3g8Hm699VZmzpx53sLNgv3anpKSwq+//krNmjUL7KtcuTL79+/H6/Wybds26tQRGQHT09NJTEws0L4wDRo0iIULF7Jt27arxlECQEVtTRsT6NyUjjTVlWbStdErWG5OvYKFrkvlCFenXnaHP5w9P8i40rEoc2KqoeahpnKmn/FUt6UeIkpZCZ5DU0oCO304ebBPBXo4KsGm3H4IKA4UV12upsBbEPftroJroDpR84GXgRHKnPUQVS2+pEpG+boQTEyFvmpIe7Zy+z3wEYKr1wDU8g/7gD5AW+DpIMeLR+TzvBNRKb0JgQD3H0SldXW8NxBMazoCWqoOXKnmCEi8VFlPOWZiDFiLQVoxqLdHbK9aDGqXhtsrw101IM0ByUYwa6HeaVug03ooEQmJRrgjEb5NhwMOcHtgak1osga8d1GwmI8EgBJYQiDAVO29atsc5YQqEJhTUgJICSRdsDIdxq+H6e2hbC0EmJW/Z2mh5MTjB5wqGVZD6uV2WbBHOj01QPrKR7D/BLzzOIFpKvQh/VHw4v9g+OMQkwi2mAjcmkvKZrRqrk0RtisLDcmq6vLxsO7pvDcvjji3AJxqpXarw0bMUY+w7+4AUv3HBcjIhJmb4adD8HUziDYVDjg9Hg+bNm2iQYMGQfdf7jpw4AAjRozgiy++uNRTOWvdcccd3HPPPT5YdaXq/fffZ86cOSxcuPDq+jxRiFq0aFEgJ3ph8nq9REREsHbtWho1anROx87MzGTgwIF89tlnBRyYshjl7Nmz2bx5M88++yx//vknTZo0YeLEiZw6dQqr1UpCQgJLlizhxhtvPKe5hHX+FeYtRcu3Rk9D/AXOxJWVB8VeCoerF6awkzOssC6yFixYQP/+/S/1NMK6xLr99tt58MEHi4Scc+bMYd68eURGFswUmJ2dzbPPPnveAKdaCGHq1Kn069eP/Pz8QmHlTTfdxP79+wPgqNvt/leO0nfeeYd33nnnrPtd9jrgFaBzDdCUwLx8MqRVr1AAU3V06vP5oWzXOzqlFFenXsGcmhJISYehdP1JJ6IKO4OFrOunGQxUyr6hqo7LuRUGUtWK5ypok25HCeviCQwRV+HmNiO01kHkCKChAY644DiQ5IL2RrgXaOiFKCN84YWZHpgMVDSC3e2Hq4cBLwXzfoLfJasWO1LD36WLcxvwDiKUXKZ5NSvjWLXz6qKd75PAHQhQq65NbUTuzgnAU1of1U1qRzAqEMWC3gJeAeS7S11E4aHW2mO5vS/QHegNtMcf2h8JDEE4OVMMfkisgmK7A6wu8ORCJTN8eQOs90JiIizaD3O2gjcfMpxgyPcbL7+oCynygQm6VwDyYLcNXj8ONa343IJEaX/6HFkuhGsyBn/6CBUsyvy5UnJfGoGuzArasa7BV/DnBgd82QYefA8an4Bftohrpe1N8NAtEFFG65OijSHzg0rXZgwCjMrHcj7ymBro3JUGS9cSeHHJ85H3tX2PtIOJL8OEMRDj9uCIceIyRhDnysZpsWDBgaygHo1Ny8tpIY5s3Bjxgg9wWhxOcXtaO1Yagnbv1eYt11Dbn2iCkfWhfQK0mQONDJDatRvebt1805b/QzweD263G4PBwHXXXcczzzzDlaaKFSvidrs5ePDgWeckvNT67rvvuO222+jVq9cFrQB/IZWZmcmmTZuumnybZ6rMzMwzbut0OklMTOTRRx89Z8AJ8NVXXzFmzJigIeYGg4ERI0YwYsQI37ZmzZrx3XffsWbNGiZOnEhKSgp5eXlXZX7YsMIK6+Ir7OQMK6yLLIPBwE8//USbNm0u9VTCuoQaOnQoPXr0oFmzZoW2a9iwIStWrLigBXry8/MpV64caWlp2O32szqW1+vls88+45VXXmHu3LnUrl37gs3zildVDQRfpz126G5dyp8sRoSyT1VRjs6iXKA5BffZdbBVLU6kuhTlrdymgrJQh4aCQFIflo1ue2HROPrQcT3clKHrcjzpBJX9rNpfvAmquiBTGfu0dvlnewVQjDaIgjRmEzhcAsJt9MAuL2QZ4Fc3HFM+SV1rEEx7n0cU4mkGzEYAU9XhGexWzjcXEXq+AqgJ3I8oYDRGmedzQEdgKwIwvgncSkE3pcrtPgdqIaqdjyfQLSrboq2NG5F38w0CIbJsVw+R71PVV9p8rQiY+glwC4LNTUKA1zcNsNcLLyBAr9UEiZVhuhump8Oc/4Pq5fAX7ZHh4XpJMKkU8Gq8BRrFQKcEuKMEfrgpT0yGjktnpFq9/CjCbXmUwJydEmgmI56YKtr2RPyvVZkvNAlfxXZSgHQY/S7s/AeefBCWrIUfloLXBdZYKBYFNqOB6xt66fB0ZapHHiHNmEwCmdiIJsGdidtopPgxu4CiOpfnT3/Dho0wqj/+H09USCvnbwKM8NoHcE09aNtOS1ehnb/DEoHdEu2DnBacAUttdLvpd4+T/80Ek8ytmabdZgC7tcdyzeTzJd/btOJOWV9BmhMyV/1No0aNioRoEydO5Pjx47zxxhuFtjtXrVmzhilTplCjRg2effbZ85ILsGfPnlSsWJEXX3zxPMzw4uqNN97g1KlTjBs37lJP5azk8Xjo06cP+fn59OrVi3bt2l3qKV1U3XDDDXTp0oVRo0YB8PXXX3PXXXcFtMnPz2fy5MnMmjWLDz744JzSZz399NPs27cPg8FAhQoV6N69+xkBU4/Hw/jx4xk3bhyRkZHccccdLFiw4L+Z1ugKUZi3FC3fGo25SE7OF6BGjRoYjUYGDx7M4MGDL+xBrzCFIWdYYV1E/fHHH2RnZ9O+fftLPZWwLrEaN27MmjVrimz3yCOPEB8fz6RJky7YXHbv3k2NGjXYsGED11577QU7Tlj4QWdTCsJM+Vh1kAVxXPraQsFw9FB2Sr3UUHkpBWqqRYpAAE8JO2U4tn5oPXBUI3DVfJKhQt31/QubvnpMFbxJ6cPWUdpJV6UVUU28L7DeCjUj/OcaadQgkOo4tPjBr5TVEuhMVNfL5RJjVMnz58G8A2iDKNKzOwJWeoQDM5rA8PcPgGcR7lF5LrJIlMMIfRyQbYAVXuHu/BBR40ov6RZ9BAFbXQjQ+CwijF7+xCJdo/q1fQtRYb2Msob5iLD4wYg8oNm6fgOAHtoxf9T6/AZMQ4DedcAghFv0DaCLBganOOHjLPj2eqigfjKVIdxSMp+mlIR4edB1O3x5jfZY5uiMITD0XI51GgEqDynHkbIgFla2icIPRRV3JC4E2JQQNMp/mxsfQbYlDhNuth+K5feFWaz+20jL2y20vScOp81FjiuK7CM5/LjIxW9f51KxbjQDXihDiRQzZhzYiSaJdJyYSSATN0aSSCchw47bBOt/hdVbYPD9FA45tXM6cgT2pcJPf0GDxlCmqoF69cGjRQq4jUaMbjdG7UK2ODzYYsxYHE569oR5H4DhNAIEH0KAzaPiOclxQqxklnkEhuK7IUuL3I63n93XjrZt22IwGPjhhx/Oqp+qvLw8/vnnH/bt28ftt98eADEfeOABIiIi6NWrFydPnmT69OmULl2aFi1asGfPHnbv3o3JZCI7O5uYmBg8Hg9Go5GUlBQcDgelSpWiT58+lClTxuccHDNmDK+99hobN248b4UAL7YGDRpE3bp1GTRoEC6Xi4iIiMva2ZmTk8Odd97JyJEj/xOfsbOyskhJSaF9+/b06NGD9957jy1btnD06NGAdjVq1GDWrFls3ryZcePGUa5cOZ577rlzBsBer5f33nsPu93Offfd58vRHkpLlixh3rx5ZGRk8OWXXwKwceNG6tate1lfV2EJhXlL0boUkDP8fIRWGHKGFdZF1O+//87ff//NyJEji24c1lWrV155hf379xcamj1nzhxmz56N1Wpl/PjxQfNhni9t2bKFevXqsXLlSpo2bXrBjhOWohoGkaNTykVg1Wg9+ITgxC8IpCywX6WNqvRAVT+OFuquB3h2rYBRsArdwaRvo099GOxUguXlDDYGBIafS8kK4rKPClntyn0rIncliNByqzYpk0mATvBDTykVfqqGLxV2gr+N1HpgVh6scYMH2AN0NoiiQOu90NIAH0YKULQpD24GsmICx5DHViF0Vm4gfFbD4Kci8mWCCDN/GeHkfBz4BQFdH1TG1wPn08BLCFdpMG1EODLXhdi/S5vHI8BaoATwUQRcY4a1eSLs/zojfJcEsSdg1/WQEkvgE604NX2TlBeAFrZ9yAE118GblaB/ZXzORUz44aTsk6EbF/zuSzm2mk5CgtJS+MLRA8LVk/CFnWfVNROd6yQ1PgknZhyYMeHGRrQv5+VXM0+zZ20WQ96p4atKbtack3t2uhncbDvVGsZiiTFyeEcuyRWiKFnGRKvuxWnWLt7XPoWjODHz4wfHaNraQoMSNkwytF0FneoLTbt/9DCcyIHBT0LdejDxfSsOLQmCScvECWB2ODC5PVhyoXt/mDcJOIiAm/vE7Zzt8Ohf4PZC10rQuwr8n66env0L8To6W8AJAlD26tXrX+e3/Pzzz3niiSfo0KED5cqVY/369RgMBiwWC02aNGHx4sX88ssvAX12797NihUr8Hq99O7dm6NHj5KSkuLb73K5WLlyJZGRkRw/fpzPP/+c3bt3M336dK699lrq1q3L4sWLqVq16r+a8+WiPn36kJubi9frLZCv22Aw+LbLr5J2u53o6Gg8Hg8RERE0atSIe++995wrmefk5BAVFYXH48FmsxEVFeWDrtOmTWPZsmXk5eUxfvz48xJ6fbnL5XIxaNAg6tSpw7vvvsvOnTt9+2rVqsX27duZN28e27dv97lx+/btS1JSEq+++uo5Hz8zM5MHH3yQWrVqcfr0aQYOHIjJZGLYsGGUL1+el19+mZIlS/ralytXjrFjx/qKDoV15SnMW4qWb42ev0iQc2wYchamMOQMK6yLKJfLxdChQ3n33VBfGcO6muXxeLj55pu5/vrrmTRpku/X6w0bNvD+++9z8uRJvF4vHo+Hm266ieHDh5+XsLmiJL+8XOH/Dq481dAqr1sQYDOPokGnXqobs7A2oR5LJ6kKQ/QE0uUvVhQKdLoK6S6lwkWX7lat9A2hIacqfbg6CNOdKpfSRhZN0vebhAirfgzojGBZagi5WjEc/I5KKasGu6TLU7pAIRBI+uYtwZnyfDU8BS4tLN4CREXAXy74Mhq6qBZLCVu1vvku8VwAZOcJSCvdoC6gHKJgkAMBPMcAswC3Ab70ihycPRCuzCoUdOnmI3KCvo4IP6+kbI8EViFMyapcwGsIdymIPKC5iHX9Guhpgo4e+MsD/RG5QpONIgVAqr7ehDwR9dqWayC/ROTB7yfg5l2wrAE0S8IPIS1K26PKeMXwVziXOTVzCSwoFKXtr6yMIS+wYogkpW5wpIDLGEG6pQSArxq5EzPZxGHEjROzDxy6MfJc512M+Kg6UcWisGh2bbnf4TLgwojB5M+8+s+qkzzVbgffpjcKgJFmnHi9XuZMOEC3/rFULCNgaRzZmN1OnEYzcTaRm8JljMDi8GBygFdbw6nvQY9e8OtKIwvme3G5Dbi9EZQp4+XZV60Ui3JhdjiIyfDQvQ/MG4KAm6mw6R/YkAaPrxAuzs9vhXIWeG49xEeKIlBzmoP3K3Esa86///9y3XXXsXbt2rPq4/F4yMnJoUKFCtx000189913Afv37dvH0qVL+frrr1mwYMG/npvU8ePHGTduHGvWrGHv3r1kZGSc85hXgjweD0ABN57T6eSHH37grbfeon379tx2221Urlz5jNPh/P7770yfPh2n04ndbsdqtWIymTCbzeTl5eFyuTCZTLRt25YHH3yw6AGvEu3bt48qVapQtWpVNm3aREyM+CVs/PjxdO/encjIyAua13L79u0sXbqUo0eP4nA4GDBgAFWrVuWDDz6gX79+HD58mNmzZxMdHU2HDh1ITU1l6tSpzJkz54LNKawLrzBvKVphyHl5KQw5wwrrIqtjx4689tprV2wIU1j/XhkZGTz44IN89ZX41vfjjz/y1ltvkZKSwlNPPXVJEq5nZ2cTHR2NyWRi6tSpPProo+Gw9Yup2gZoiR9WOigIPKWCwUyX7lZVYXk79Y/1x9LHfiugKd8l4J0+Z6cEh2qOTn2hIdV9qUpfXTxYpfVgOThBOBdNQLziejSZ/CHm+rlK0GnT2mYhTLVNgL+BFkB5RB2VfIT78BNlXsHOS85BroMVATOtlkDnp5ybHpQWKBBlBEMauEqD0UxB5RGQXsAaVdBxCxCdC39Gwel8mA9Mi4Jcr7+9ywUxJmiaAw+Y4HYjlLSL+WUpENsAvIh4HAWURhj6xiF4n7o2MvQ9HwFPfwZmIqq6mxDV1p0I8+NTwHUREGuGp7yw3A0bmhZcC5+7UrHwbjgFj+8BpxfsHtidB9lu8LZT2snK55JSy1yZN2nbtTyS2cfht12w8IBY7xgzGCLBbgKHFz7+G+zLRfEgkvHBzVPRxTDhZg/ViCObTBIAcGog0kY0DsxYcJJNHNHYcGHkx5nHmN5/A/O8HTDiIlrD/CrwtBHtg6Mej4dPn9zJ2p8yscZEcP/TZWnSvqTWx0lkfi4zxhznjntjqFk/CjMO3Jh8xYSisWPGgRMLZhxEu8XxBj7g5OhRaH1bBA8OjyQ6OgI3RlYtd/Hac3mMexxa1gEyoPsgmNcDSIfHfobjOVA/GbpWhOqSb7nxpQaoOAvedMFtpnMDnAD16tWjWbNmjB07ltKlSxfZ3uVy0bp1a7Zu3UpUVBQdO3a84EXtjh8/zp49exg9ejRer/f/2Tvv+Kaq94+/M5q06aSFAmXIpuwtUwQBkaGADAXkiyhDQEDBn8gWFAEVAUFQUHAgIBsVZMkSBAVlgyC72ELpHmmTZvz+uPfc3KRlqGV6P69XSXLvueece3ITknc+z/OwZ8+e2zre/SKXy8XixYs5cOAAMTEx6HQ6GjZsSPv27cnKyuLgwYMKpLx48SLjx48nNTWVSpUqMXLkyP9MZXS1XC4XLpdL+ZF79OjRnDhxgqysLBISEpg1axZNmjRBp9NRqFAh4uPj79jcduzYwblz5zh+/DgNGzYkJiaGrVu3MmvWLMqVK6e0S0tLY/Xq1bzzzjssXryYhx9++I7NUVP+S+MtN5eyRpPvEOQco0HOG0mDnJo03WHNnj0bo9HIwIED7/ZUNN0FTZkyhX379qHT6ahUqRITJ07EZMqLYtxepaenExwcnCsEDaBmzZocPHjwjs/pPysBOsEDZtTAU+3WVIPOvAAoqv2+ulm4e6bPvrxAp6rvrGxveKjuTu2ezAt0qiFnXlXV84KJvtMKkD9E+hk80M5PDl/GiYe+qQGyGXIyJQDqcHjcqE2Q8kZOBMKQwqzbA82Ax5HcilPJDV3x2abeZ8TjBFWHsvsZPe5O39yfbjds0MNqO1T0gwkiNNoXQOcVjqx2PMpOPVO8Z377C0BdPd75LIWcMCcLLjjhLbk/dRi8kA6pZlU2EhjehacOz/Wes21IleEvy1OtCSwCasn7hYs3AHjRCM8GwXNVwOWCT67AeTuMLwVB4kuDA8J3S3f/rySMigKXRXITdj4GE0rIbk6xNuJ+EyRXpli7S3D0L3hpCRT0h17loH00+IsCQiLsvQSs3QXf/g6BkXDpio5pq0qShadQjx0zdkw4MOBUAr5zL7QBJ04MrH7nNG6TmVqPWEhKhOM7Ennh3fJKGwMO7JjlewalEJAjI5PBdQ5RppqFhMt2pm2rSqjFhT3Nyju9L1CgoJ6OL4RSo2FAnuOasGHGjhULwaTTrnYi3++1EGh248CAEScBNiuBaS5SYuDpfrB1MOhToNtCWN5ZWpMnl8B3PeR1zcTbEQ6QBEu2QO8syMmHrxkul4svvviCa9euKUVV8lJCQgIDBw7k0qVLuFwuypYty+eff46/vz/nz58HyPcfE/fs2cPUqVPJycnB4XCwbNkyChYsmK9jPEiy2+388MMP/Pjjj5jNZvbt20eRIkVITEykaNGiTJky5b6rSJ+fOnv2LJUrV8Zut3P06FGqVq3K7NmzOXjwIAsXLlTajR49GqPRyKRJk+7o/FJTUwkNDeW5556jS5cuvPvuu+zdu5fnnnuOr776Klf7vFIdaLr/pPGWm0uDnPeWNMipSdMdlsvlYtiwYcyePftuT0XTf0g5OTlMmjSJefPmkZmZSXZ2NgUKFKBAgQIEBgZy9OhRpe25c+fuiqv0Py1f0Kl2c/qGrov7oiiRkbwhaF7yLUaiPsbXzYlP2+uMIRyBImxanZdSOBZzHN4AVEDAv6MA1YdGUfDHS+pYdXUuSwFg8nL3yXOOSILDbgniqQGtCwnQ+QGL5e0Cyqmdm354HKxiKAE4xX5f2KsOh081w1YnDHXAV37QwQ/kWjCe81S7PQ2QpYLSCjQVofAA/mDLgcJxUm7NVwJhRmFVX+IkVPohFT5PkYoTBQMtDPCoFI1KWqZnLk4DDM0Btw5eAqqrvsPmODztjEbY6obONqmIEkgmSu8MiFJ1ewtSJfZwA4T7g1UHQUYo5AdbkqFigHT/sg1ibfBoKKTkwMYKnoV3meDNi3DeCcFB0LAqNCsLxcrCeSuUKg6Gq5C0B5pvgYaFYHJtiAjCU4m9pLw+UUgENxAyS+g5a5ZcStu2unmv/wVMgUaaP1eUziNLK/k2nRi8gKIAlSIUPfVSCus/OMe1i1YcNhfFSvtx9XIOQWEGjv6UzttbahFSNIC936Vgy7CzZ/lV4s9kEFk6gNR4O0Pnlmbb4msc3pZCj4mlWTH1Ih36hrPxi0SeH1WQxzqHsu7jeJq2C6RICW/cLPKDSk+/hGEP783i5C8Z9HvF31PJ/ViW5HBNgh+3w9s/gMUIp5OgZlEw6mDzGTjeD4oEkNt1Hgv8Agez4eUajejevTs2m41GjRoxf/58Jk+e7JXf8lZ15coV2rdvz/PPP09kZCShoaG0atVKCZMeNGgQhw4d4r333qNx48aMHz+erVu3EhISwttvv03Tpk1xOBykpaXdcsj0zfTEE09QokQJ3nvvvf+k4zA/lZKSoq0hULhwYb799luSkpIYM2YMGRkZpKSkMHjwYCZMmKC0q1y5MjNmzKB169Z3dH5//vknERERrFu3jp07d/LMM88wYMAAYmJi6NixoxKppOnBksZbbi5ljabdIcg5UoOcN9LtT/Yma+rUqYwaNYphw4Yxc+ZMQEomPmLECJYtW4bNZqN169bMnTuXwoUL37gzTZruY+3atYtixYrd7Wlo+o8oMzOToKAgAIxGI35+fmRnS6TrzTffpG7dujRq1IiMjAyCgoJISEigQIECd3PK/02dcEugs4XP9rxCztUkDdU2dTsBxHyhpe//+mr4py7Okhfs9O1DbuuHx52YZfM4E3Mc3sDzekPfSAJsiryXAH7CoWlGOkcBN2+0JmqF4gn3lkFnUiKMscAXAShrl5UNFTIlZ+PTqnMKMXocoKplUIodCbAJHvCpznUp2gcA7yFVGe9hg4ZIxYj8ciDbDdl21amonJ8CJovtYpufQRWqbgBLPBwNlQoZpbtgZibMyMC78rj6BIzQJgJK+0nh7d+kwWon2P2gnQHC1SAVWGqAFBeMSYHRLmjhB+P9faAskJEOXc1QOEhat8oZ8IEbHnNJxZi+BwroJMD8fwYYGooEqcOl52r0Ofi6JAyOgdbB8ElR8NdB+T/gWk3ADJeD4d3zcDENykRCzDXYeQaSzHA8Cc7tlCBtfX8wuOFaNqxqCeXEtRQhz1dVRMj9KCSGBxFLFE4MJBCBEyNVWjp4Y3tpCoS7OPyTlbFPneTKqXSKVQujVO1QUuNzsGfY0el1OHNcmAONuF1uslPtFC1ppMvo0oRFmhXQaCUAC1ls+TqR/2t6kIgS/pRtFElwqI7oxgU4svkadpuLl+eW46dVSfx1JouqTUN5onsYtZsHs2vZVd78+iGKVwwkCwOt/1eQJe9eYcD4CPz0Li9HqQ0zBhyKA7VGQ9j2TRLZWWYwQYFtWRKkDAROQosiUOM5sJshKli6TuypkJQiA07wFDADCY4ekO7WynCzxWplzZo1WCwWFi1aRMeOHenYsSMrV6782269IkWK8NFHH3Hx4kWuXr3KsWPHeOqpp9i0aROtWrVizJgx/Pzzz0r7ihUr8v777zNixAhGjRrF22+/DcBDDz1EdHQ077//PoULF77leSxatIhVq1YprjS73a7AVE3/Xg8C4LTZbLz22mt07NiR5ORkunTpcsvH7tmzhx49ejBz5kylAGSbNm2u2z4lJeWupBUSqbb69OnDCy+8wKlTp0hMTAS47wttadKk6cHRHXFy7t+/n27duhESEkLz5s0VyDlw4EDWr1/P559/TmhoKC+//DJ6vf5v5bHRflnQdL9Jp9PxyiuvMGPGjLs9FU0PuF599VXl/dZXmZmZWCyWOzshTTdXddnRKaBBJp7wdQHlfJ2cvvINLRePfUHo9SDgrTg78wqVd3rn6xRFd9S3akdnXt1CbrCpQE11+LmohB2IEoaep4vVN2I4LwerE3T7oE0gbBCx15lSn5XOwsniSM+HP1KsttM7D2aWTXocEijdT3PkBprq4YW/rjVSWPx5cucfFVI7Xh1IhYXUYe+Qu+K6nwF+c8Ij2TDJDC+bIUgHplRYGwod1CHwAh47USD3XznSsq1OhqQcmJgkNe0QCEsKgUWPd5i8ERxu2GOHOWmwNROSi3vOQXcJdhWFR+QTz7ZC/WQop4MWRmjrB4VdUqj+q054txCEFoTgI9A1DM45YWcqxDaA01b4NR1ePw8tC0oOzLZR8PlZ2HUVsvuB0Qw5Rpi4Dybvk8ZsUBj2tlGdp3gyjJ7zJhSogwI6M8P1xJhLcBbJwWnDhF0+WDg37ZiUyugul5urJ5IIjAykUKQEwgKwkpWlI/mag6iSUji4CAt3YMjVX1KCi0XdtzNkSxsCsJJIQcJIYWjESsauqUKjpn6KU1R62jwuURsmnBixYCXuTCYrZ8TxRM8wqtXSowvw9xpbAFaA9wde5LO3Hei3IL2e4pEKMYnXUYh834CUwNah+hPvTyDB0UPy9qvX/2qxadMmNm/ezPTp06/b5lbVrFkzQkNDOXXqFH/88QfdunXj8uXLBAcHU6RIEdauXUv37t35+OOPlWNSUlLo27cvq1evpl27dnz33XdefdrtdkwmE3PmzKF8+fK0bt2a7Oxs6tevz+HDh//1nDU9mIqLiyMqKorBgwdz9OhRzp8/z4ABAxgzZswNj/vss8949913CQkJYezYsXTo0OGG7VNTUyldujTR0dHs3LkTPz+/G7a/XRo0aBANGzakYcOGnD9/ngsXLnDixAntu80DKo233FzKGr0HIb6J5/N7rCwI/T/NyXkj3XYnZ0ZGBj179mTBggXKr6ggPSmfffYZS5Ys4bHHHgOkX0krVarEvn37aNCgwe2emiZNd0Ua4NR0pxQXFwdIlWn79u3LSy+9dJdnpOmWtBMppjcbT+V1tYsTeZ9Ppe0byvd/+7zcoOBN5ER1apvPvrwck/I2PwP4mSFAlavTzwc0+uEJac6S+wwwelyJAAFqsGlEAi1CQfKtQZ6bqIKtpoH+eEBxXvksfe7PKg1Do/AAGzM4XJAgoJg4hyDv+fnJ5xGS7ekrPFQ6v/hUT1GiYH9P3lKA3XqIdcFlCwTYPeDSN6+lGnwaVesmXLJ+Rg9wVauKXAjm2QAIckvtPgqC39zQQayVcMIa5D8ZXBWT13FQiNSufQjEOqC4PwxNhE+L40kHYIAf02H0Vfg1E0YWgqoB0CIJVpTwuD+bxoG7vDTeaSNcccN3EVBSFX7fPwMW2CDcDpXTIcMFi5LgVD3IcELRQPjiKpy1w7420OAHIAFOZ8AVq3Qqfgvgjbrw81XYFQN7u0ADEVItzlUspjh/gGika004SIEYcwnikSKLBEAUzks1XMwigCDSsestRFaNlAFkupKfMyDAgaGkBafcXsBGJ0YlpF0UGFr2yq8Ubyg5RxMpiJUA4omkzqA6zJ/4F4kjivNw28IUJEEZX0BPKdemhDBDyxWibtscJr14kct/2ug+IpIR0yLkkWzyrZ0CCYnULAD6w/Iaifolwu0rctxKi+DZJ3JxitdcElKlLiPw1429E61bt+arr75i/vz59O/f/4Ztb6YdO3Zw6NAhzp49y8mTJ9m5cycXL14kKSmJRYsWERUVRa1atejQoQMtW7YkJiaGxYsXY7fbFQeoWqdOnaJy5co8+uijNG7cmNdff50GDRpw8eJFFi9efJ1ZaPqvy+l0EhUVxccff8yAAQOUbUajkcGDB+fpUj127Bj9+vWjaNGi/Pbbb0rEzY3Ut29fNmzYwO7du6lcuXJ+n8bfktVqpVevXgBKwaGnn346X17XmjRp0vRvddudnL179yY8PJwZM2bQrFkzatasycyZM9m2bRstWrQgOTnZ683/oYce4pVXXuHVV1/Nsz+bzYbN5rGvpKWlUaJECY1ka7pvtGHDBg4cOKCFOGm67dqyZQuPP/4493nq5f+eRIJDATrT5O0i9x3kDin3DWv33ee77UY/ceZltcwr9F20vUHOTuHsBMndKaqdi8cgPVaHowdEIAEn4bAT1bUFzBQuQgEpBeBTQ9+8wvRVIFI5HshywnPHYVUF7+P3pECXCxBX3ud8xfG+4NnXAesLWuXK0xuzYFEmfBNELldougxZrzlgNjAOqRr5n8APZnj0Bs+bV15OoFsGXHbCz3L4dZsEmB8JJXyNP752U7EGYv0BDJDpB73Pwv4MeDocZshuzehj8EdVcOdAnBuKHYGvH4LzNhhTCFIcUOtPuOCAjwvBmETYXAhqq55zHPBKBrxcBI45odNZz67/FYYvoqHlUfgxCaoVkHKBHkuCP3pCxQLg1kvA3CKHVGNDct0KaK0OzxfXixkoDJRAut5Kgk1+rtMtQVylMPFEcpXCCtT0dXBmEaDARtHGhgkLWRhwYsamQEi1e1IUKRLKwoIBJzHH0/joyW1E1SyEf0QA7eY9js5oIumKnXnl5lDrf5XpMrcppbiAHRNhpBBMutKvgKbHdiayZkEK/T4ogyPZSmBkAMUKZBNGCmGkUOC8lHfTnQH6ljD5SSgZDM/VQQKbaoevWE/wvAcJB2c2UsJXgN+As7f2f012djZt27Zl27Ztt9T+ZjIYDLhcLho1akR6ejo1a9bk2rVrbNy4EZ1Oh9vtplOnTmzcuJHY2Nhc0Ombb77hvffeIzIykoULFyoV3C9fvkx4eLgW9aApTy1btoz58+dTpkwZBg0aRO3atQFISkoiIiKC3bt307hx41zHrV69msGDB3Py5MmbhunHxsZSoUIFdDodLVu2vCdyXm7cuJE2bdoQHx9PoUKFlO1ut5vIyEiuXbt2F2en6XZIc3LeXMoazbhDTs5XNSfnjXRbnZzLli3j999/Z//+/bn2XblyBZPJlOvNvXDhwly5ciVXe6EpU6YwceLE/J6qJk13TG3btsVsNrN+/XratWt3t6ej6QHRiRMncv2y/+yzz96l2Wj6Vzrihlo62Ac0QAINqUj/Y18PNqqL0uSVn1P1uFscLC9xg/HVLk9VjsfrtvU9TnWMH5KzEycYZeehnwxQAgS0tMn9CyOL7+c1m9y3yCcpzosb3BcuPRGSLfoIxLNOcoj7R+dgeg3AjQInh5+EuCyoFYQnNN6Bt/svr09QKniqhNOr9l1zwNhrsL8CUhJKGwTIRab8DGDygwGZUgj7Xgds1MPSIHg1E7bq4AkB64LIu3iQauyiTliRggKsDEAhM2BStRfgVxwnngvhkhVw1gCBgbCyDLgN8OyfYLXDD2nQMACcOWDQQZQLDlaAoX/BjnKAC/ZmSIAT4KVr8GMU1BbrpALW0yOgaQzsqgxH6kgOzUYFoKgMW39Mkvo48j+o9AXEDpAcwKlAaABYsvE4DFN9nmchcY0FIj2vJZDC0+vKy2bQk24OxomRWIqSTjAA6QQTgFVxXBpwYseEFQvpBBNGCk4M2OTFNeIkjBRlWAE61fkxnRhzQdISVUKYdK4bVix81W0DbwXMpHCNwrT/rB2VetUk5ug11kz9k5qD6lMl5DIJRJC4+w92fX6R4XMfIsIEFqwc2Z1Bz5eDKB+ZAZEAmZS1nSHFXIACe7KkH07MoDsDH3WBpQdg9wWoWhpqhpMbfKvfX8T6irUGKUz9FgEngL+/P71796ZVq1b069ePbt263fKxIIWUT58+nQoVKtCiRQsiIyN59tln2bNnDyNGjCA6Opq0tDQ2btzI1q1bWbx4MX369GHUqFF5QqVPPvmEb775JldOweLFi+dqq0kTwMiRI/nll1/47rvvCA4OVrbHxMRQsmRJ9u3bR/369XG5XIwbN4533nkHgKJFi5KVlUVKSgoFChSgefPmLFy4kFKlSuUaY8aMGQwfPpxdu3bRqFEjDIbr/Ud8Z3W9auk6nY6EhIQ8P49q0qRJ053UbYOcMTExDBs2jC1btuRbFUOAUaNGMXz4cOWxcHJq0nQ/KSgoiJ9//lmDnJr+taKjozl16hQAc+bM4bvvvmPVqlVK6JMoMqTpPtNBt+ToFGDNjAQUfL/j+III8MCIPNyMg+JgRcYtjJ+Xu+9636/EeOrK7cLJqAqN9hNFgsQ+VXVwJSzWgQcqFsYbLBrwhMgKZ5mAceF4AF2E3E5scyCBHgG+xPZsePUIzPwDXqsnt7EBiZBxFdJS4ftGSDHjgXicazY8xYvkfghV3Zcdm15Vp+Vjmh+GzmGgE25KozwfGchezYYlx6RdDxmhTyTUi4TdeYFMXwmoKq/NlStwqBrE6qCIDrZlgX+Aqg/1c4RqrurnUeQidcr7bRKbnR4Owy/BvIJQwA9anoFVxSDcDDXNsKsMYJX6aBMEiWUg4pzUbZhN1bfqGjMY4dEgMP4GyU2heCiMPQUf1QFXUXj+MixqBWk2CDHBw1/D5QwY1xgmCbetPEcMeOfeNODt4AwF6gNR4I4Ea6AENzMIxoaZdIKxYyaFAmQhLVo8hTHJixsnqhPJiqEEFqxEkKjATbVT06YKSbdgVRyhnv1SOLyoyj774W/Qmf146rM27HnvV7a/9QsJR+KoNKARv475AaefP5mti/PT/22kWBkTFdpV4Pkyu5lx+UkKkMLeHy/T9sXCmMjAQhaFrfGYEyHwl0TpGklFyTs76BkYvFKax6FYqFkaz2tT7eTMRgpLz1AmLa3tIeD0348W6N27N7169eLNN99k0aJFzJkz55YLlzz55JNUrVoVg8HAqlWr+OCDD+jevTtvv/02u3fvZuPGjRgMBgYOHMjQoUMJDAzkjTfewGaz0blzZ7Zu3Yq/vz92u524uDjcbjcRERF/+xw0/TeVlpbGu+++m2eUjChk1aBBA95//31ee+016tWrx/Tp072+v86bN49BgwZx7tw5SpcunWdfw4cPp3r16jzyyCO372T+gVq3bs3AgQMJDQ3Nc/+qVas0yKnpvyv1j923cwxNN9RtW6LffvuN+Ph4xboPUn6SXbt2MWfOHDZt2oTdbiclJcXrV9WrV68qYSJ5yWw2Yzabr7tfk6b7QbVr1+bDDz+829PQ9ABIAM5Dhw6RlpbGyy+/rABOh8Nxz/zyr+kf6IgMOuvjATSZPm0ErPLNy+nreJSdWHNLwNyiNx96cwZczIF+wTdopIap6iIu6tyHgUjw0BeoOYDSSKCkKJ4KzcL5qMrV6DWev+p48f2qKp7w2QgkgFMCya0m+rQhVc0WLjQZLLovQMJEcEeBzooCQOfXhdrvw7s58MZjSLkKI/AGPiIc3aYaR5yHGCdUdYwNFvrBonigEspz+cRPsOkaZHWCsjpwl4GHd0inPqaS6vwFrBP3r5euQAaIG1LheBYcz4bCRgjzdfiq2+flhvUtbCUgtBGKm6Vco1kOeNQMn1jhQAY8rmqjAGgg3AGOomCMg7bJcDURnjHDMuGsDII0J0yRoxwL/wR2+Tt/h9rQ0giLmkuPvz4Fv8q5I3VASI7PXM2qW3XYvXDyVkUpNOSIAmugiRRDmBJCLtyWEuhU214l0CmFpJuxyvDTQhZmbARgxYAjV1GgLCzKNhN20gmWXZ9mzNhkh6f3x/GkC2m8dqYPxhAL1jQXB+b+RquFndk9eguF6xbl8DubidtemqZf9yU03I/UTfswWPzIwsKEOpuJOZROREAmBUmk4PkMCU4mIl2bAlLK4NfuggGPS0vSZxF0rQuBamdvKh4oqs4P7EDKw3nin6dD0ev1TJo0ibS0NHr16kWpUqXo0aOHUl36eurYsSMffvgh9erV4/333ycqSoLOY8eOve4xLpeLlStXsnLlSlatWkVISAh6vZ5Vq1bx7rvvPhDVvTXdHjVp0oTSpUsTFxdHSkoKmZmZXL16NVc7l8vFCy+8wMKFCwF47bXXKF26NHa7naNHj3q1HThwIAMHDmTu3LnXLRBZrFgxjhw5wquvvnpP5fI/f/48OTk5mEze748jRowAbvw61KRJk6Y7oduWkzM9PZ2LFy96bevTpw/R0dGMHDmSEiVKUKhQIZYuXUrnzp0B6ct6dHQ0e/fuveXCQ1qOCE33qwYMGED16tUZPHjw3Z6KpvtQ4eHh6PV6EhMTlW1paWnK++CVK1coXLjw3ZqepvxULR3UxONSU+fIU4eH3yhHp7i9Xri7rFM2CNbDkFiYVhDwg/Jn4XxZKKW/yTwFGDEjAUH1NiHx37TaAKL+1dvXeKyeq7/cLlq1rS4SfFE7K4XrUoSp21T3fWCk7mmpm0Ht4aNX8bg9HVCoP3zTHx7zNauIl5yYsxhLQF7hcBO5RIXT1AlkwNDNMO93yBkirVOByZBiA/cIlOcoHuAaRLrk4zJVa6GGnWqgrJ6TDa5mwpOHoW4wzC2Nt+NWHXospLqWfs2Ch31yd6a7oF8GNA2Ap4KhZzwMC4I5GVDPDKPCIMzg05c6FF7uWycDymZ+sL0ASr7VqtfgeLpnvEaR8LPctnoEHH4e7E5wZoFdB5/+Cm8egQwHuLviuY58f9cRof3lpXEIB6IgoX6Q4rCUlkxyU6YTTDpBpFCAFCT4mU4wVixK2R4hAw4sZGHBCkjV1M3YsWHCiBMTdgVwqgsFSf143JsCiAqn6PpJh3A6oOmk5tgxEXM8nUMf7ePc2uMElY6gxOMVaDKhuXLcD08vwpWRxeDlDfnmpT0Me68w3QJ/RxcDXEWCnOK1JV5H8vWZ44AhH8PH/eDj9VC/FNQqggfUC/emuvCQAJxH8vcrxK5du/jss8/IyclhwoQJVKxY8bpt4+Pj6dmzJx06dODll1/+V+NWr16dUaNGAdC1a1eMRt83Lk3/VVmtVkqXLq2kUrNapdd6YGBgrrZHjx6levXqAMyfP58ePXoQGBhITk4ORqMxV5h3fHw8hQsX5vfff6dWrVp5jp+YmEipUqUwm80kJCTk56n9Y7322mt06dLF67u6KLT0559/KoWIND040njLzaWs0dw7lJNzkJaT80a6bf+LBwcHU7VqVa9tgYGBREREKNtffPFFhg8fTnh4OCEhIQwZMoSGDRtqldU1/Sf0ySef8NJLL9G1a1dWrFhxt6ej6T7SyZMnSU5OzrVd/R+dBjgfIB10e0AneCCOgGlw/RyaTtV23//xfWGnA165Chtl8HXyChwrA7segpJ+5J2LUn1fhAGrt6sdnSKfZF4ZbK4DxBT3pwBUaoNXSTw5HX3BrzpUXoTCqytFyw6/Y59B1Rdh7vcw4yUwySD0z3NS88dseCpOJ+KBQ76h9mKfOjRazE2EB/tDx1WQ6YZLU5Acrk5ImA2/JwLlUEK4IzPxDisOxwOqROi4ep1RPc6W5lA4BH5tpDpncawRj+NUvfaqda9tVPUnw9t5KeAwQufC8H0K1AiAEiZ43AJvhKnmoAacPg7jK05PtztyJOBZygxVC0qAc+MTcCIDhu+Gg3IOztMvQFSQ1N9v8bDiMMw44d3vJZt0OQCeay4ICaob5bUOlW9rgS3QE0LuxOAVWm7AgRGn4rh0qCCluG/BqhT8cfpQ1RTCZJAplkOqfC76MODARhB2GZaasClOTnHb+IVyzHp0PY0ntQQgskoEj89tR9bcripwKqCpg86rn+HQlM3MbLWVOo1NNCxxGd01PIXLjHh+eBDPkXzrB3z8ktSdDagl0lCqc2/KrxdXDtgdYDoCdvJ+Kf8bNW3alKZNm3Lx4kVee+01oqKilDyavqmvIiMjKVWqFCkpKdftb/LkyUyfPl2p6H49eNmmTRs2bdpEtWrVKFasGDExMblcapr+mzKbzcTHx5OcnEx4eHiecFMoJiYmz7BzPz/fam+SRLq1vADn2bNn+fHHH7Hb7UyePJlhw4bx3Xff8eSTT/7DM/nnio+X/hOMjIzk888/Jzk52eu7+ueff06fPn0ANMCpSZOme0J39afKGTNmoNfr6dy5MzabjdatWzN37ty7OSVNmu6oPv74Y3Q6HZ9++in9+vVTtmvVsDXdSBUqVMDf3/+6+TYXLVp0h2ek6bbroBvq6TyhtuCBSGq4qb6fV25OdRgqubf/UEa6dbtBmE4e8cNTeETcqsGhL+kw+9wK0JeX1PMVEFSck0h7WF967Fb9buo0gkHO16kTeTrV55xHdfBc5wxUKQruDdBmLJhOobg9y1+QnJCVvoCTjfCAy1Ryf3ISY6pDecW5GFGcpjNPQLUweKuD3I/sMDWEQj2RpUdA4iAkKBUvH6/Og5iJBO/SyAUnvaCvOG9fiOkgd6EqBzgM8GoafJQBxYyQ4IRFJeGqA0xZcNQBl11Q5A+w6OD7EvBNGrxbQLUW6utQfSvv+0J+y2oXCnutEJ8DLUvALjlM/YmN0m2XCtC0BAz9ESoshL6VYUEjaAiElvKGnDXCwKTHk04gAs+15y+vVSgSKC8jAc5kS6ji4DSoSGw6Ul5OKxbM2LBjwo4ZG2acGLCQpcBNAw7smHFgwI5ZCWMH5LZS7k1pu1gOUbTIrBQpUrs47fI4qcaC6E1+yhyNPpXdHRgw4iQAK8FkYMFKt1EPUXKUnm0zj1PyWhqcxOM6NuB5zTrxBtAi7y2gd8tt06RjLyXAlIPSawHgSJLE4l1uSKtSn33cHj300EOsWLGCXbt28corr5CZmYnJZGLQoEG0aNFCabdgwQLq1q2bZ3jsF198wfr160lISKBp06asW7dOiRzz1bRp05T73333HRkZGYSHh+f/iWm672QwGPjxxx9p2bIlDoeDnJwcOnTowNSpU73afffdd16Vxm+mjIwM7Hbpx4+1a9eybNkyli1bBsCGDRuYOnUq3bt3x2Qy4XQ6sVqtWCwWXC7XdQv/3A45nU4KFy7M3Llz6du3L7///jvjxo3zatOnTx+GDh3qFVmkSdN/VlpOzntCty1c/U5Js09rut+1ceNGRowYwYkTJ5g9eza1atWicePGd3tamu4DFShQIE8Xy33+tq7pRhKgUwA14SgUj30h0/WApxpy+Fbp9nV+ivtyfkndj57pONpIVbUViOn7wUvAJpF70TeUWN0+UjXXmngB3bRIj6vK4PBQW6PThcEBRrWLU83+hWPRiAQWHUiOSIdq33nQjZfDxS8BmTD1T/g4Bo7VhyD1B1YD3nO+njs2UHXuSFDI8AW4X8I7lF3kjQxFgnH+8n31OOJ5losiKfeFy04djq+GWA7ItMEXsTAoCo/bVX2dqM7h+0x48iSkNIZAN2RnwfJkqGGCID1UMMPvdpgaCw0CISsHxhaU+1CvvzgvAZmTVOcWCHUOwu+ySzNxAIT7e+Yx5EeYc8h7SRsWhL0JYNSB/RnQ+UOqC45egzabIcMJ1QrCkd6qMUWfAnA2lrY5AiEhJBS7KkxdmrZBCVVPIQwrAWTJldNTCPOCigJUphAmFykKIksGkCbs2DFhwo4FKwFYsZAFoBQVMsow1BMmb5ZzeRqV25ObYvih/3raL3qSEo+VU9pJaNSuuEXV4fIRJNKSrSwbG8frT4EhBU+hrkA8Ll+1C1n9vuCAORvh5YeBqzBlG+yOhYl1oW4kuFzAPtDrgYNuPvnkE3744QfsdjsNGjSgTJkylCpViiZNmnA79P333/P555+zcuVKZdugQYOIjIzkzTff9GrrcDgICgrCarWi1+sZNGgQK1euVBxpN9LkyZOxWq1Mnjw5v09B0wOinj17smTJEuWz1syZM1m4cCHx8fEsWbKE5s2b3xREXrp0iUceeYRLly55bdfr9Tz00EOcPn06l/N406ZNzJo1iw0bNuTvCamUkZGB0+lUigplZmYSFBTE9u3bWb58Od26daNZs2Zex+h0ujsOXzXdWWm85eZS1mj+HQpX76+Fq99IGuTUpOkuS7jxAgKkd8T7/CWp6Q7p1KlTrFmzRskjJqRdP/8BNdRJrjTwhKP6giu1fMOGfdupXW/qsHfx2NeF6YB9mVDZAiFh8jbfsHXRn/qx2mEoHquLVNeU91eSbjMjpSSgdp9igwanHKargp2BaS7p2HOqvpPwODAT8TgxQQI9f6KE4urmgLutvM8JpXfC+UfB6gaLGnL6huH7FnwScFIGmbOOwyv7pV16HTiH4u2IFceINQ6S70fhAXbqsQTkzJTvC2enOjxcBbrnHoMVMbC9KcSkg18OFDHjXRwIz/jLLsCuBLhohfcrQ6UA1XyBp36HZQ3B4o8EhJHX1YzHvRoKxOABnRFy/3KuVJcbVv8JFYLh9Z/h85ZQJFByD+tV9fh2t4YuO+FKNjQoCPvkdHTuvhD6hVT0KDwAbE4pp2nCaxAhzHfiea+JBM8DwR0IMeGRSv/qXJg22bEZQwllnw0zKYTJMNNEMOlKvk3huPTN1WmWaa+Am6KauufykMBkOsEYcZKRloNfSBC/f34M7HZKtq1MSPEQ0i8mcu1QHPs/PswzP/QEJJep6EMUPSooV3MPJp0oYqnAKYKOXWTpR2B0S07M/7WDWhVU14Zv8TKRqzYVpn4PjSJg7QnYchGO9lBdK7vl9gdz/x/z9ttvk56eTmJiIr/++is7duzIFyeky+Widu3alCtXjpIlS7Jlyxb69+/PkCFD2L17N4sXL+bjjz/G4XBw4sQJtm/fzrJlyxQ49NNPPyl9PfLII16PHQ4Hw4cP548//qB8+fJUr16dnTt3EhgYyL59+3IVitGkSahBgwZMnDiRxx9/nNdee40vvviC+Ph4srKylMKPah0+fFjJ1emr06dPc/XqVVasWEHNmjV58cUXget/lhs4cCB2u53PPvtM2Wa322nWrBk///zzvz635cuXs23bNjIzM/nqq68A6bv2mDFj+OCDD/IMvZ8+fTqdOnWiTJky/3p8TfemNN5ycylr9BmEWG7zWFYIfVGDnDeSBjk1abpH9NJLL/HOO+9QoEAB7ddQTTdV6dKluXDhgte2jz76iEGDBt2dCWm6s2qokwrwCAddkmqfOmRZADexDZ/Hvrk61eBLvU3cCnDlhO8uQuFAeFi4+cw+bdX5N9UORwdQBg/UBNzlISVcAjcCYqrlNBi89pltdmWf+ajczy9y/+fxQLVUJMglAGcgEIsH7GTCoh3wwhmpr1YFwKmDHUngkvvf2wQalMALHgKetc/LCQuct8JL+2Bje9D5kXtd8wqpF47ZUNU5CNemAJsCasquzDnHoVlRKBQAvbbBZ49CCX+p/4wc+PAU/J4MIWZYdEoaKmMADNkFI2tARbktBpSQb7sdem2VKp4XD4E3akDZgqCbDhH+kDDM57wFSPZNTaB2owqHrQry9v4OXm8AwU4p72vkYriWDUUD4HQnCAqXAPTmjjB6LxyJh8n1YUADeGMnfHIQQs2QJD8X63pDDtC5OtL1JSfqTCttwmoIUHJe+ubiTKEA6QThxKgAS1FdPZ1gwkhRCgYJABpLUexyO6mKegARSnw4Chg14sTPns6BOQe48NNlAkJMOHVG7Ol2Yn/9C3Q6yjxRjoKVC/LXL3+Rk+Uk8cQ1TMEmUs4lM/j8UHRhIcrchAw4ieQqhYknilhKEENZ2xkCY1xSsSHA6QcfLIWnm0FZUUxIXPvg7QhPhdUHYNlhGFAFWhRTPcd75Nv9N//KsG3bNl5++WU6dOjAxIkT/1Fuy1dffVX5/+3ll1+mfPnyLFq0iBIlShAbG8vmzZu5fPkyvXr14vTp0+zfvx+bzYbT6eSrr77yCmkHCWjWq1ePgwcPkp2dzbfffsvkyZN5/fXXeeihh+jQoQM9evRgyZIlpKen89RTT7F8+XL0+ptVW9P0X1RAQADZ2dnUqFGDli1b8v777+dq43A4OH78ODVr1iQrKytXTllfzZw5k9deew2Xy4Xb7SY9PT1PYApSbszz58/fMD/oP5X4/vH7778TERHBV199hc1mY/DgwdfN9f7cc88xd+5c7Xv4AyyNt9xcdwNyVqhQAYPBwODBg7VCxj7SIKcmTfeIMjMzmTRpEhaLhQkTJtzt6Wi6T6QG4vf527mmv6uGqtB1EbasBph5QUw1aFJLmCXV4e3qkGl1hXHZ3fnSLjAZ4cOmqn1qSCqOlQvsEI0EnmRHWWZpPUanC5vZpEBMJwZMTjsGhwOn7MYS+0w2iWQF/umS+vhRdY5/+pyfgG3CZSjmIkLWnZ77P16CBadhUX3YmgB9focrncCoB7cJ6n0PE2tCu/J4OSYvpcCGq4BOchMGmSA9B9IdcDgJVl2Ec/+D0uKjidqxmddzI8vthjG7YO8ViI6CuAQo7AY/NzjckO2AkbXgqR+gYgF4LAo+OCLlpWxeBL46C+1KwvFk+DMVvn0CnizneT5106FyOFzJgA6lYOFj8OElqFwIWhbLPZekLOiyGp6qAAsOwajm0KuuPHdbHs+3kO+1pK7uLkPaD36FET+B2QDDq4PVDh+dgFn1oXdFsERA8IdgMkClMPj5qqf7bpVhVlsompsvAPB4E1jxEZjLgdUSgA0TY4fbCQg0kG2DspX86PB8MNm6QCX0XOS7BMk5eXRnCns+Pc3D/6tAeOWCvFl8CQADj77Ahtf3YKxakTLD23Ppq59I2XkMnckPS4Cbwp0exi8yjPTDF0jfcwx3ZhY1nq1A1e6VyLqShssUgPVqGusHb6HDkqexREmJTUW4+5XjCVw9kkD89pO4zP60mN0eJ0bFwQlgxk4YKTTiZ8pxhhLWy5hjkWCzKjesSw9L18OVK/BwOahWBsL8wGWH02fg2BmIvQyb/oANZ6BNGdjQCW/4vplbApxqffHFF6xbt47Vq1djtVpxuVzXhTZquVwupRDQjZSdnU3//v3p0qULTz31lHJsXmDS5XLxyCOP0L59e+bOnUtOTg61a9fGYrGQlpaG0+nE7Xbj7+9PxYoVSU1NZevWrfTq1Yu33npLg52acikxMRGDwUBYWJiyzeVysWDBAl566SVCQkJIS0sDbu2z2YwZMxg+fLjyePv27bnCwoUmTpxI3bp1adeu3b86h7z02muvMX36dJo1a8Zzzz1H165db/j9+rvvvuOpp57SPn8+4NJ4y82lOTnvLWlpSzVpukcUGBiIXq+nSJEiN2+sSZMst9tN9+7dWbZsGW63W3MB/9cUigSa5FBgsskdXq52EIoQdLWpxDeXpwhRvx68koHox4+ptonjxLHCZVpT2uauBDonpIVLri67wdvdJYq/GHAqUBMkx6bDoCfwvByOvhMJlp3MY+5B8l+kaptYH/C4IcVxZmmuLcpDizLS/ScLQkI0Sg5RHbCgBdReLp0DwIEM+PyQVIRleHWILg6J2WBwQXELHMuE14rCx24oaFGto9rV6g9OFyw/BCtPSBAv0Axu4GoGPBsNw6pBQT8w6FXnAPwUC/P/gN+ehRB5GYfXQIGmn7WGy1YosRC2d4RmZb2fo6QBsOIkjN8PC58EImBAaQlo4odXfk2dESKCYfsw+DEGeligVxPVOYmcouprzBeg55WmQNawuvBsBUjIhBrLoHWUBHIH1ZSeD6ddcmq+86h03ieSYU0vOJ4AL6+D3TGw8SXo9jmEBMLlROj1FDzREnoOhX7vwMIv9EqI+ZrF6eyJl0LS923JZECbqzzcMoiWrxVWTU/KmTn/+f2Elwml+/wmvFNvA1ePJ2EOMVGgYiGuxutwuA0E+Os5MWopES2rU23tWNxGM0nHY0natp+sI+coUjWCmh/3JTLMTgBWbDhJOPcXu6b8iCnEn24beuC2BKlS5UoQs0CVYgRWKU2FZ6rxRcUPuHoojoI1S2DGroTAh5FCRU5hwUq5uMveLl/VGuv10LMVOGLgaCKs2Q2ZGeC2Q4VC0CgKokrD0Nqq61P9XP0DwAnQu3dvTCYTXbt2xWQyER8fz5YtW2563JYtW6hbt+5N2/n7+/Pll196bbsejNTr9TRq1IjJkyfz1FNPsXDhwps6644fP86hQ4fo27cvCxcuvOl8NP23FBER4fVYFCd68cUX+emnn2jSpAk5OTnXrayel6pWrcqxY8eYMWPGdQEnSDDl73zWy8zMxN/fH4PBcMN2X375JY0bN2by5Mk4nU4slpuTmgEDBmC1Wm/aTpOm/4y0wkP3hLQl0qTpHtKgQYMYN24cXbp0yfUBSpMmX61du5ZOnTopj9u3b8/69evv4ow03VHtdUtuzkfxLrajzs8I3tDJ4XMrpIaUvuHrvq7DvArviMI2NYG6KM7SzNJ6ssyeL0oi/6EosqKWAJ3BaVKhFqPszjQfkgPHD8kNhRMwFA9kE6kWRdEecd4OVXtU7dWOU7XTMxBvB5s/1IqCMVeg+09QMQSm/QyZr4M+WDV5AZYdUNwGhCDhKt+CPDKAnbQW9p+Bfg1h1Sg88FUOG1bCiH3X3AGPlJD+vM5RhLbL51k8BMqHQ5PqeNy9NumvgB9sjIW/xgDB0nmaRV/qucow+3SSdC4toqU/ZT7imlOvt8Fnm5ADbzen3IfBBFEFISoA/uoFzddBmAnFJWowyPM0QG8npCyFehWlv2aVYNURaFIJZjwNo+TK7KHh0ONZeKSLjto13AT5u4BUqtUxUjbaoISs12sVSpVWRfjivSTmvHCExp0j2b4qhcPbU4m/kEXDPuVoPr4RNgy8cux/ODCwcdwvhNavyG+z9pH5Vxq1f+ihOD+zsJBCGFSJILxKOSxYsWHCTTxWuSK7ESt7Zh7kqXU9MRl1EtRXVWUXMuCQAtP1etou7syPA9bRe+/zhOvTsGKhLgeIIJGCJBDpjPcUFBJFqNSv2wwgCYyBUMsMtdQFvoSz2aZqr3aE/4j0PvMP1b17d7p37w5Ahw4dbtjW5XLRrVs3rl27xjfffPOPx8xL06dPZ/fu3ezevZuaNWve0jFVqlThoYce4o033sjXuWh6sHTq1Cmio6U3xg8//JAXXnhBgYN/B3A6nU4MBgMGg4GDBw/esO3atWvp3LnzLfW7YMEC+vfvz5QpU254Lffu3ZtBgwZRv379W54zQHR0tFJTQJMmTZruFWnh6po03WO6du0aLVq04ODBgzf91VXTf1vqD9dCWoXL/6Aa6uAxJMghcnOqHY6qatterjrfMGLwrvqtlu+2wkgQRNQZqAm2umDKhqvhoYobThR28XTvAZtOjFiwUuBalqff08AfqnHOyfPzdaiJ/+6NKHkkScU7N6QBb3gDecNd32JCvttlePjGBvj6kOR++3GI9z51eHCucSIgNRu+3gXDFkLz6tD9UejzuKptKhBP3tXPRRt/8n5e1ZBWyB8qfQAnh+MBnKpQ/nZr4X9N4Jl6qr7Ua6DKrbnrD3h0MvzxDlQs6jO27zWl7kv0pw5TBw/49c0LaYRMHXyyH/xN8FID0IfhAdNqCagcCm9uhHPJUK4cnLsIcz7X4fLzUxzBickuVi7V8cygAtjknJZZWHBgIAsLTgxcOZvJgW0ZNGgdTGiJILJ1gSQTRmq2CasxBKsxDIAlbb7h3JbzFGtfjVprxyh9iCJFophRMOkEkIUBB0Y5d2ZBEgnAyo6RWyjVsjRRraoAYMKmgFdRuEgNPcNIYWWXVST/mYTJz0mlpgUZ/UEYwaRTPea0t0NZPHdGvAGmUKq8TxX2n+s5E8+rKOC8I3++JpQqVSpXHmkAs9lMy5Yt8ff3p27durmK6eWHJk+ezOHDh1m+fPnfOs7lcimVsuvUqcP06dPzfW6a7m+JH5fLlSvHnj17iIyMvPlBeSgzM5OcnBwqVqxIfHw8Tqfzus7kN954g2nTpt1SiPiWLVtYuHAhS5cu9drudrs5cOAAJUuWJCIigkKFCpGcnHxLc3W73SQkJFCoUCEaNGjA0KFD6dGjxy0dq+n+lMZbbi5ljRbfoXD157Rw9RtJc3Jq0nSPqVChQsybN4+BAwcyYcIEihUrdvODNP3n9Omnn9KvXz9AqvS5b98+wsLCmDdvnlZ86L+mvW5oooMWSP+rX1LtU8MoyA3PxH4BBQUgEQBUQDsDUAEJTNVEybGZWV6P02hUiro4LRJYysDkFYIOHoATYJNC2wKTZIemCD2/hAT6xJziVXNWF7QR+UGNSC61q3g7IcX5+qvOS7gdBfQJVbUTaQIFMBTrovrcGJcJ68/ApRnQ+B047oQqJcgFiY/EQHWxXe7n0CXoMh36t4O4pRAUAP5iTqIIkgNvwOmbckBdwEe0K686ZzVIlNs6XOCygj5HtYZyUaM1Y6HpZMgywfNNPfuHLoVxT0OhcE+fTWuC60vQ6fBcPwZ5rdQ5OcX81GuidocKqd20QnL+1EAHDGgObRfCYDmy+Y9xcOQalC4KdYuhpBnACc66MLErPPwwzFuix242k4EJozywAwNBBaDHIGlQM3bSCVbgpBXpm0jBsgYeDvTHz+jC5jaz/O0zfD3+HAAv7OhGsUfDSCeYsxvP8ug3fTF3e5J0OX+nqLQugL4oaOTEgB0TYaSQTjBm7DgwoDf7kZXhgRNSCHqWF+wU/QhNXFmecNc1Ohc9SK92LioTS4Hz8o8DolCV+jlIk9dJdGHDk84iidyf/vMC60Zga/75ILKzs3n66adp3rw5zZs3p2rVqsTHx2M0Gm97BMKYMWOoVq0aCQkJFCxY8JaP0+v17Ny5E5DyID7xxBNYLBYuXLhAYGAgmzZtuqWQXk0PpsQPyvnhFwoMDGTNmjXEx0v/8d0oD+y0adOYPXv2Tfs8cuQICxYsYMWKFRQrVgyj0UhWVhYrVqwgPT2djIwMpW3Dhg1vea5ibtOnT6dx48aaIUOTJk33nDQnpyZN96jS09MJCQkhIyPjtlRQ1HR/a+/evTRq1Eh53KxZM3bs2IHdbv9bIVKaHiCN0UlwIxsPIARvJ5c6tBi8c3EKqCkK5DiBcCSomYkUhp4JlAdbBCRYIjDgIINgTDI8MmPDgQGjgn2cmLBRMC1VGuY8Enw5L48bK493Xp6DGmyCBzoKKKkOqUW1Td0W1bY8wr29nJt5uVjBO2w9EEYugVfbQpEgsOXAiGXg1kGOC/74C6IKQKEwmLMeWspOzZKFYMZayHHCmpEQ6E9uGCuAZV7pAcUaqN/+zXiKKfkWhxJ9ySHxZf4HS1+F+mV9+pKB2N7DMPQj2D9X1Ydw+qnX2tc5CnlDsbyApoCg6mNtPu18xwuEx+aDXgdX0uH4XzD0CYhJgrBQWLQFikfC5Xg4eVrHWxPdjJoRTIFCJgw4vFIhODGSRYAXfLRjxoqFLAKwYebK+SwmdjjChaMqR7Gsaa6XydCFkEIYViwknoxnXa0p1MveKtdgt2PFgh2TUjRIwE4TdrLkHJuRxGPBSjDp7O48h8dW9ceAQ8mxGUw6JmzY5YtY3LdgpQQxRJBITcevVCtqZcMyqFfZs37uQHAawWhDgv6+65uJ9LoSqRDEPn88Ye7q59CBVE19Y/59PTh58iT16tXj559/5uTJk7z77rtkZGQQGRnJ6NGjadOmTb6NdT1VqFCBdevWUalSpX/cR1paGr1796Z48eLs2LGDn376yavwjKb/jvr27UuJEiXyrVDo1atXlZz8vl/NT58+TUpKCvXr1ycqKorY2NibgtVTp07x3HPP8cUXX+B0OilYsCBFihTJVaxSVH4X4PKDDz7gySefpHz58ko7l8vF2rVrMRgMfP/993z66acANGrUiPnz51OlSpV8WQNN96403nJzKWu07A45OZ/VnJw3kubk1KTpHlVwcDALFizgzJkz1KhR425PR9M9pLi4OI4fP+61rU2bNmzfvv0uzUjTPaGdQBP5fiiecFU12FQDTwE6DHggYpTcphJQGqV6uyNKOsQaKIX7phjCSCQCA07SCVagjBMDJuwEkw5A5aSz6ETl85NInzoE0BQhsyKkXMxJzCUCTyElJx6Ao84/6pvg3dcdKM4bPGHbvuHloaq2qryWAiDmOODT7TCth7TPHAxz+oE7BxxG8FM5Qd/sDhv3Ai5oPQE+fRH61EVyz/mGBJtVf+p8lmrQCp5wdDOe0Hx1P07VvI2ebWYj1CuBxxlqxvP8OqD7O/BwJXAYwKiGyeq+Dde5b/RpJ+apXjuxzfeaE9BTjCnOTZyfEba9B3M3wq4jsH4yPD4WqkSDKRRqVIH4ZOj/iomC5U28vVhKjmoHkMPRDQpilyYiwtSdGEknWKmibsbGWzLgnLCuChWbhPNK3QPEyy7JVF0BnBiwyvk2T3+7W+7fSRYWBUQGky7DTQdZWAjAihEnYSSTSEGljQEnep2bKGK9KrlbCVDBUQmeGnFSgVMUJJFIrtKzbRblSkG1ktKyCbjpNIL5qmqd1WD/KtIPH2KbeH7Fa0i4nQVwd5LvgBOk/7P69+9P9erVqV69Ok8++aQXWLndmjx5MgEBATcEnJcvX+abb76hX79+ub40btu2jTlz5vDXX3/x+eefU6lSJWbPns0333zDgAEDbvf0Nd1jyszM5LPPPsNut//rvjIyMliwYAFNmzb12u52u6latSonTpzw2n7lyhViYmJy9eNyuYiPj6dIkSJ89NFHfPDBBxw9ejSX0zghIYEpU6ZQv359unbtik6n83odjhgxghEjRjBy5EjCw8N5/fXXadq0KXv27AFgzZo1dO3aldatW/P+++9rgFOTJk33pDTIqUnTPaySJUvyzjvv0KdPHyIiIihTpoxWkEgTUVFRXo8PHTqkgXBNsFsOW38UCSQZ8HZ0+haFCUfKrQkS/KqJ5OoSeRdLQmaknkRzQUzYyECCSQkUlAqsAE4M2DBhIYvCMrUsxQUMTiche+QvgLFIECUOb7AJHsDlL89HOBrN8lwEEMvA2w3o694UoFF9fpA7l6MIExf7HEjAR5yzOmxf1htLYMc41Vxl6QA/g3y8DCkjDNCzidT2kWLQYBr0qaYaXxyvKlSkjOubUiBUNY8QvOEVPsepAWcmjPwM4lOkytqYkdY2FCgM1xLgkafgkcaweBUs+US1Fr7wMpXc44nnRIwnHIHquYn8oeB5rkWIu8gXKYolCcgstsnq3Rpsbij4EJzaAu5ISA81MecTP57qoscY6E8KZhlW2hUYaZIH9HV0OjGQTrACE4W786Mj9Wmj28HEDscpUimMTu/Wo3znKuh0OtKxc5oKsgPUhH/Dmrhty9ire4w6V1cRFmlU0jCEkYIVCxEkkEEwdfiNeCK5SmEiSKAWhzh90olFZ6UwV0knmEjiiSeSYNJJJowo4uQfCmwUJBEDTupbf2X+B3DqKFzegnThxYMuUILTRvCkLFDnaBWFiMDzuhPPj3hdCBengJw7yXedPXuW3r1789tvvynb7mSI99y5c9m5cyeHDx++bpsXXniBuLg4evbsyQsvvEB2djYOhwM/Pz9sNhvR0dH07t3bq3jSwIEDefLJJ9m4cSOLFi3SHJ3/IQUGBjJ8+HCqVKnC3Llzadmy5T/ua8OGDUybNo3x48cr23zzquv1evR6PQ6HA6fTiU6no27duuzfv19pc/HiRRYvXsz48eN56623OHv2LC6XlBLmzz//5Pnnn+fnn38GICAggKVLlzJo0CASExMVV+jbb7+t9Ddt2jQA9u3bR/369WnVqhWrV6/mjz/+4Pnnn8+XEH1Nmh5I+f74frvG0HRDaeHqmjTd4zpx4gROp5P9+/dz/vx5EhMT+eijj7TiMv9BOZ1O/Pz88Pf3Jy0tDaNR+19OUx4S+TlFeGoSEsQIRwIZpZHcXVWRQpvLy+0KQ2YJPWabi/SQAGIooeQJNOAghQLEUlQJ0TVjI5h0IonHjomaSSex+4P5oDymCMlWh8qqq4YLGCnnY1SqpQsJ16YIsfUFcQJGCjcqqnao2uRV+EbtZCuB50Opuh9/2HUSJq2CrWPlbb5tfIvuIM9XHrP2JPh9IrcmX1CrnpNwt6oLBPk6Q+XbF6ZBUhqs/j/QByCtaRmwRcG23To6PeXm+AEoWxjcBtA55Vtfl6tvtXWDPEexXzh0fecLHrjum6otEw/Q9g2HF2Oq84eGgCNCchDbDSY516VRCQMXTkg7ZiX3qzo3pjQFyW0stTMp+5wYSCaMLCykE0wsUao8slIaBuHgTCGMBAqyV/cYTyZ/wrlZP3Blywla7B4NQGkuYMJOCWKwY+JhfiGFMAoTjw0TB/8MZtmYk9hdRqbND4TwgoSRQjyRRBJPLEVJoQDBpGMlgKb8pMy9QEwW3fpDi3Iw4Emk14tNvo3FA9+FO1aA50w8rztf4Cyk3r5b7iOfXZx9+vTh6NGjHDhwIF/7vVUdO3aMAQMGKE60vFSnTh0mTpxI+/btvba7XK6buk337t1Lv379OHbsWL7MV9P9I7vdzpdffsnatWv5/vvv/1Eff/31F+np6bz33nssXLjQa59OpyM6OpqtW7cqP26npqYSFhZGdnY2mZmZBAcHo9frMRqNlC1bli+//JKGDRtSpEgRJb8ngMFgwOmU3t/Cw8NJSpKqFL7//vuMGDGCjIwMgoODlfZ54YF9+/Yxb948ZsyYQXh4+D86X033pzTecnMpa7TyDoWrd9HC1W8k7RuyJk33uBYsWMDMmTMB6NSpE61atWLatGns3LmTSZMmUa9evRt3oOm+V0JCAnXq1OHSJamijNVqvcsz0nRPa7dbqrj+OJJDMxQJhogQdAH4KkBauAmzzU6yJRSLM4tYQ1GyzBZM2LFhUkLSRU5CA07CiCeYdCpwiiJ/pHqceYBZACrhzEtVzUsd1iwAmr/8F0guB6XSPgiPWzKvgimi2I5v3k21c9W3wJK/vDZqZ6XoQwZv76+Dd76DuHmqeaMaRw04Bdj0ccs+pDbe5xVWr3Z0qvsVzk0BcJ3kHaavzqVpg4QkOHwRfpuLd9GoULBaAkhLzOKlvhAeCA3bwMp5UKwI6NROUN/+fdbcbZbAKOXxgGzwBmaiwLAaLBuRwtEDfbapz88o9WuT5wsouTSl+xLgFHlfRYoE8diGGTM2r20inQJIwewCcF6lMDZMZBBMAgVzFfuR2tuUnJmnR35OaPWSXF79G8ffXEvXg8MpTDxRxBJMOm3ZgAEnEbYE7GYzwWlZ7D0GU6fpCAoz8OGcAIpEOnCQg1mmwKVs57GbzZRwxmA1BGDHTImkeAk4q5jg5TNQrBrSjweicJD48UI8ByJXK/J6nsPzo4KQcN365nMVymfACdKXsDsNOCtXrkxISAhhYWG4XC4vl1xeGjRoEL169eLnn3/2Cmm/lXD6sWPH8sknn/zrOWu6/2Qymejbty/Z2dls2rSJ1q1b/+0+9u7dS5cuXfjwww+ZMWMGXbp0oV69evTo0YNXXnmFjz76yCt6x2w2M2vWLMaNG8eAAQM4d+4cnTt3BiTXdOPGjb36L1CgAMnJyVStWpXNmzcTGRlJ69at2bx5MyDlFgUUwHk971N2djY1atRQQuFv9prSpOk/Kz25f+C9HWNouqE0yKlJ0z2uGTNmMGPGDOVxfHw8gYGBlClThocffhiAlJQUQkNDr9eFpvtYly5dYt68efz000+UKFECh8PXNqZJ03X0NN75GAXYCJLgJkCiIQKnRXK0mQ12pdq0AJoJcj5BBwYqc4Lq105Lrj91GLwIkRX3bUgABiSoIgCjGrDgczx4wrNFHsds+ZhEvB1/aiBoJjfcVANOdVGeILwdh6JKt0q2LJiyDiaugik9IOkrPLBQ/dITQFC4U/OSE07GQVI2hAepxhTHqz+BqeeSlztVvV0dng6eXKNAeDEIC0Nay0wUR2RCIckm2v5pPSf/cBFeRmr/5SoY1RePS1S9nvKt2yDlfQQw+L79iDmqn1exNmK+4A0383oLk6HzpUKRWAnAQpYCHJ0YCCALOybl+hT5LI04FQBqw4wBh+L2lI41KoBTSDg40wkmEQ+FFi5Kswz4DTI0tWAl0+3P5RW/0unYOL4OG86Th8dQsro/T7GSMFIoazuD0enCnCmt18FtWUyZBUUe0jHr6yCCgvTYMZMu56xVZmQGg9OJ2WbH4rBj3Cev41W8wPyOkVBlLGw/AdOfwxt4q9dcrPt5PKHo6hQM4vVplPsXcPkAsP72BHZdu3aNl156iY8//vi29J+Xhg0bxoIFC9i4ceMtta9Tpw7FihX7R0WJSpYsqTjkNP03NXjwYIoUKcLVq1dv3thHXbp0AVAKjPbq1Ysvv/ySChUqsGXLllzt/f39GTBgAEWLFuW9994D4L333uPkyZPs2rWLM2fOsHDhQr766ivOnTvHzz//TFRUFH379mXr1q0YjUYOHz7Mt99+S6VKlQgLC6NLly6ULl2ac+fOXXee/v6e6nijRo362+epSZMmTXdSGuTUpOk+0uTJkxk0aBAOh4P/+7//Y82aNTz88MM8+uijLFu2jOjo6Ls9RU35qEOHDlGrVi2cTqfiKNEqp2u6Je2V3JyZO/QYnVJeLgGorIEmUgxh0n25MjRIxVlEdXQnBsJIppb1EFZLAAX+yFIgiU6dY1ENEcWtgCuiqIkoHiQkgJhTtU+d39Eo9yMApxHcbqlpAKox1RBQ7WAL9NmvLswjfgty4DWnLDu0fAvqlIY+j8Kbz5IboIrzE1AxLycceMLOHfBQITAJp6qQGrL6Hq8GsWJcXxeqyFcqXHyg5LbUZ0OdaHj3K3itI+jlPJwGFVkeNRJGvAjnTkLNJ+DTJXB0PVjk+bjNHqgJ0nXjCzfdBik1ZJ55QoXjVuSFDZWK5Oh8qq+7Q0GXCmklpevxKpFKbs0UpII/waRjwyQ7LR3KfrUE6FQXGhJpFsT1nCVD+xQZbqYQhk2uiG7GRglisGGmMFexyReTyJUZSxTW73fyUNUglhUcQddFLalWPZt2rCaMFEolxSnnduAQvPYWZNtg0w/gCvfHioks1WtMWqIATNgpYE3FfBRPWgeQXNfq/JpmqeDS3mnQ+k04dh6qFsXbOSxkw/s1aPTZ5+u6dQCHuG2AE6Bt27YcOXLktvXvK7vdTqlSpW4IbHwVHR1NdrYvOb41zZo1iyeeeIJmzZoxduzYO5pvVNO9IZ1OR3x8POPHj2fSpEn/uJ+RI0fy7rvvEhERQZUqVejdu3euNq1ateLo0aMkJycDsHjxYnr06IFOp8PtdqPX6xkzZgxxcXGAlMNdpLd68cUXGTFiBJcvX1bSHV27do3x48fz559/5hrrekpPT8doNGphspo05SUtJ+c9IS0npyZN95EcDofywaRMmTIcPnyY4OBgMjMzqVevXq4qjJruT2VlZdGmTRv27dvHlClTePXVV+/2lDTdr6qnI3m/FPZrsWbhMEiFhKyIUGCjksMwggSlWnTBMxkSQBEFTSC3gxA8RYPUuTNteOWlJANPfkB1rk7h1AQpR2MUKMY62c05Yzm0KgvV3pc2u0f6jC1C48HbsaZ2E4q543NfDu/NsoPlRfj+DWhXR96nhkfqXJVqsCTC6NVh9SIUXp7ftoPw1pew/T28K4qr5+uP99zV8/Q9RsxHjFvSZxvgyoIJ8+BaKkxZFYDB6cTgcGC2ubxgpc4GcVeh4iOQngGvD4V+fSE0BPoMghd7QbNHIDhYgpxOowd2KsBScCEB1XznKq9LZogntirLLAHHNHcQH35o4OKfDlISnXR/rTDl64R45cxUS2BM4cwU4enSPoeSO9YDPaVrW0D8dIJxyAAVJEdnKc6TTjDBpBNFHCmEYcFKAhEEk0EMJQhwZ9L7oX1YQgy06hJEwYcC6N/HTgBZFDufCEY4GwMjJkNEQZgxDboP0LF0tR9Og0EJibepFseCldJ74qTnLRbvAk/imlbnjZVfDyUGQ+Wi8GY7aFgBb5CvBqXiBwOh6/G7Q/Ltutv3VaBDhw6sWbPmjlRST0lJoWLFinTo0IFJkyZRpEiRWzrO5XLx8ssvExcXx7vvvkv58uX/1rh2u522bdsydepU6tat+0+mruk+l8vlwmAw/KuCPFlZWVy9epVSpUrluV985y1fvrwXlHzllVe8Ir50Oh3t27fn+++/p0mTJhQoUIBvv/32H8/LVz/99BPp6em0bds23/rUdG9L4y03l7JG30JI4M3b/6uxMiH0KS0n542kQU5Nmu5THTp0iLJlyyp5dHQ6HYMHDyYjI4PMzEyvthcvXqRcuXIsWbLkbkxV0y3q+eefZ8mSJeTk5ADSF6f70bnpdru1wlj3kK4QpoTvmrEpRVgAArBSJC4VRyAYY/F2KOaVT1OAGFEkSABA4coUADNNbmfAA+Di8VRKFwVRBDQUFbZFAaJw6bHuac8U3O+Qd15Ks+oWvF2d4Mn1qJ6/XLk92wT1JsL6N6BkEbzBaIaqH9+CRwI8qUO8fddIbtv7fekD7+xX8UApf5/+1PNXz903v6i68JDoI0M1R5DW2wydhsMn31vw07sV0Gl0unK5Mp/oABvXwfkLsPlHcOqgellITYP9R2D9JqhVHWa+C8EmeRo+wFMUMFLmLM/bbQa7v5RfU4SGb9gWwPJZ14goEUDR6GCe7FeQzIRsflySwMXjWWSl5fDW6gr4Sl0VHTxuzbwkuUElYAmQTJiyT7hBS3FBdiynEGWNw2oJwGSz4TQasWTaSQkJIsBmZd0vEcyfmkbrtm4+nOYgMhK+XeTioUKQkAhDJoBbDx9MhYii0rn26pLDx4tNuPyDFFhrxUKVuLPStfcnnteEUKQyee/CUup8qQ7ITocBX0h5Vf/vMYgKxitlgdcxoFzritTg/xi3FXACzJkzh4CAAF588cXbOg7A//73P6pWrcrrr7/+j44fMmQIP/74o1ehlxtpzZo1jB07luXLl7N27Vp2797NDz/88I/G1nT/S6fTERcXd8tw/Z/0r9PpcDgctG7dmq1btyr7xNf5KVOmMHr0aOx2Oz179mTFihUcPHiQmjVr5ts8bqUgl6YHSxpvubmUNdpwhyBnWw1y3kga5NSk6QHRvHnzOHjwIFOnTs1V9fDy5csMHToUt9tNkSJFeOWVV6hYseJdmqmmvHT69GnlOTl8+DDVq1e/yzP6Z2rVqhXnz5/nzJkzd3sqmlT6i4I4MRCVFo9BhJxfQgIgZjwuRPBAFuG+FM4ydc5L8ABMtctRwBbfPJXZqjaZSDkHheNTDSDNeOdvlP9bn7AWJjbCA17V+R59ixb5ci/fHJCquR1MhE92wccv5r3fC1yK+2JuoXm0CQS7HU5fhkwH1CgLi7fCkq2wTV0493qOTvA4XNVwS8BjGapmltZjyZTSEOgE4JSPywzXYzeb+fZbHZ9+aOPVkXpaN/WEq4v0BedOwdtTIcsGy79UTUd1/m75mth/DFZ9D3+cgFp14P9G65W+TCrwrFPDVjyQM8ESQVqOP6MGpFOsaijPDC+KFYuXYzNABpKP63bz/tbKlKoSQHgRkwI21dXShXzBJ0j5OhNkoJqFRcnVaSELC1aCSacUF6QiWrZkLJkuz7zVYdxy2oHBY2HHbjCb4bGm0OtpeHO6VKwpxwHvT4Oi1ST6azdI8x0+2MGp405mfRFI4YcCCCZdSvmQieSeVOexLaMaU+TMtOEN2YVE9XQnrNoLY76DifXgmWhy51MV10xeOWrvEOAECYh06dKF1atX3/axWrduzaZNm/7x8S6Xi7Fjx3LgwAEKFix40x+GBw0axPHjx8nMzKR169a89dZbGvz5DysuLo7+/fszZMgQHn/88Xzv3+l04na7MRqNZGZmEhQkvUmFhISQmir952gymdi0aRPNmzfP9/GFYmNjCQkJUcbX9OBL4y03lwY57y1pEf2aND0gGjhwIEOGDOHo0aM8+uijXvuioqJYuXIler2eU6dOMXPmTK5cuYLFYuHFF1/kscceu0uz1iRUsWJFdDodTqfzvnZBfvfdd5jNecWsarqbKtYwEduPslvTgeQkC5X/BHBJJXeId6D855NPEfB2SIIH1KnBpz/ezkcB0KKQXGzqbeI4UWhI5J4MgYnP4QGvx/Dk2RTQFDwFlsRcwBsQifmrqnmPWw5Te6r221TtwAMZs1WPxZ9NtT5y+86TwJoN5UtCth1SrHD6IvTtTO5QbrF2aieoOi+pejwVrHKHgtnmAZxuOfdleqQJu8GEyWknhTCaP+WkWVszL3VNJ9PqR/sOekw26QTnfASbNsOncyCqqHdhIbdBhuDyNqcRqtTXU6U+OI1G+vZ24jQaMDgcCuDU5eU6VOf1xEGLMnG88GYRHn+xqJKbUjrE4OXIXBrfiC3zY/hszCViz2Rj8tdR7ZFg6rQIoU3fovLTZMIoP7lq0GklQAlHF2HqBhyUJAaH7NoszQVMTjshsfbcz7V86w4Ea6AEq65dcxEUBE88DuWioVx9PcuWunAYpP12sxmnPKdLl3Qs+zSHSxegUk0zs97OJuVKOuVDYHoL0GehVJDPBbfj8Vz/aujqm79V3te5ArR4Dpp/Be1KQpAoJiReJ+prBzyviTsIOG+3XC6XUozPZDL968J8ly9fZtWqVTgcDrp163bT9jNnzqROnTr8+OOPREZG3rS9pgdbRYsW5fnnn+fVV1+lZ8+ejB49Ot/6Xrt2LR07dlQeBwYGUqdOHX777Tf++usvQEpp1ahRo9sKOEH6TqEVwdSk6ToS+chv9xiabigNcmrS9ADphRdeoHbt2rlyAm3evJlnnnmGSZMmMXnyZFauXEnTpk1JSEhgxowZfPjhhxiNRjp37swzzzxzS06Ehg0bUqJECa9tWVlZlClThlmzZuXreT3oGjJkCAAZGRn3NeAE7wqcmu4h7XVjrqeDT5EcYhF4AKc/3k5BYc7wDZlVOzkdqj/wVGxWQ5lQcn8Qk0w35/4AAQAASURBVAupkIoEBwWgjMUbeCaqxhLh7SXlPqOR3HAxSE5PATwT8VRozysEXMxNHnP8VujfEKoWV527up3D57H6l3lRDV1uM+xT+CsRktJh9utQtY7qWHz6E1JXGxcQNUiCjHZ/CTga1ekA5P0ggUcBJh0GPU6jkXRDMAYcILsJAXRGP6Z/FcbYfim07yC1e/nlHDJS3az5XipKpebATqNUmArAIH+JdRo9HxWdBgNPtHWyaV0ObdtJ71U6dQdGT1EiUZXdapHyvzZpaaLzi6FY5WyZImcmoFRFN+LEUiiIp8dU4NkxHkupEyOdQ3+iVptCHNqSxNWLNpp0CqdkdAA6kx8ODKQTTDrBGHESgBUTUu5LEZYeyVX8M9LY/L2bnETo0hpSE0FhU/4e56pdfhsbMMSPWq2NrH45kyIlDdRrH4jdnEM6JszYuXDZyJLP7Bw77EKncxAabqBrTyOvvmkiQJ9DwV+yIBY27YbHp8Lg1tDpSTypGTKQXgsidYPaxatybSpPkvoazYQwP+heGb46AwNry/t8X4vq14MNOMkdBZxJSUn57jRxuVxs2rSJN954g6SkJGJjY2nUqBGtW7f+V/0OHz6cuXPn0qJFi1tqbzKZiIyM5MSJExrk1ERSUpJSLX3mzJn5CjnVgBOgZs2aSo7+4OBgXn31Vfr06UNWVla+jXkjGQwaZdGkSdO9Kw1yatL0AKlmzZp07NiR/fv3U69ePWX7rl27OH/+PHFxcVy+fJnXXnsNi8XCvHnzmDx5MgDZ2dl8/PHHdO7cGb1ef9MPMMHBwSxfvjzX9tGjR9OmTRvWrVuHyWTK40hNvpozZw7PPPOMVpVV0+2VAHXqXJqBeBycwkEoQCR4V2oWcpB3vk7fduCBMr5OtAgkoBMk9xWlGisbT75L0T4VKbw+ECgMVEJyo8XjAZvqTzSBPo+F41MFfjachElP4O32NORxK4ohiTVSw8lQOHsR1u2GC5vxhkp59RkEDrMKXqogqNsnvCkhJFS5b8SJySk5D+0qiJlCGE4MSlGbYNKxg6rKuJ3QIMiy6bBiAQOcv5TGsk0W0r2Hw45ZcUUCmAw2r3Gd8v8JjzbX8/YYJ2dOunmsCQT6QXRpMJg9uTod8n3hdjTipEptIxsXXqHpC2Vk56UDg/yvkNrVKdyeRpysm36Oh9sW4PfvrlL9YT8atQhhx+pEdi51cvaIlb0b0pj8c31CizspW0Kab0VOEUYKTgx8PD6DD2ZDw3rwfBeoVBpGvwUffAmVy8L8ydDoEeg9GMqVhUGvwP+9qePrBTZmPGahfNUcftrpYPqKEK5iwEIWWVgY0COBuo39mL/SglvvJz/N0rkVvJahhJ+3LgatXoVRm+HLd2HeBChiRAL14poMR4L2arCdoSyMx+npuSjACPviYGUH72vJ6xZyO5rvoAoWLIjJZKJr16643W6aNWvGyy+//I/62rNnDx988AHPPfccTz/9tJL/0OVykZaWRlhY2L+aq7+/PydPnrxlyAnQqFEj2rdvz7PPPsunn376r8bXdH8rPDycV155hZkzZyq51W+HrFYrO3fu5MqVK0RHRwMwY8YMZsyYwZo1a27buGo5nU4MBsN9/8O8Jk35Lt/Po7drjAdMly5d4uLFi1itVgoVKkSVKlX+VWSglpNTk6YHTG63m9dee43p06cr22bNmkWpUqXo0KGD0mbXrl00a9bsX1WCvJ4OHDhA//79Wbp0qZb78yZKTk4mPDz8vi0ypOk+U0MdfIsEDUXxH/EZQg0GBQgVuQEz8YSeq3NWCnAoJNxiwonm66YE7wrlom0SnnyEIgelmIM6jN6MFOobgaeAi7qydyTekEeAQwGIVCH0HebDuqGqY30dnAL6Zqv6EYWGQj3H/XkVKnSAzMNgsZDbvaoKP7cFyg7NRJ+1CIK0cE9eR5sMHNXQEcBKAGZk6CjDTU+4tgMzdgUOmrETgBUjTvo8m8PUhWFYLHr6dUhi4bpQBYTeqIq5gJxO1Y9eFqvkFIq5DGdPwuVL8NtRSEiA8tHQswdUKClBTptZmovTYCAxWc/0qW6GTSuEHTOJRGDDjJUAr/HVRbJAArV7vjxPdnIW3YZFEkw6RpxKAS0bZjZ/a+O3rSlcPZlGmWr+WC8kMuFlKBoJY6bAoROwbSWEWuTn0+m5jbkCPcfAT7955jD0FShTw59tW3XMXByGDRP/eyyeT7aVUtbHgAOXy8Xwbgl07GmmbScTdiQAHYCVIrtSPXlvbUggPxJirTB4CkQXhclPg94ubVfC1lPxTpuQiFTIS/wogWpfJrRZDEUssKgdN5YDycW5/u5+7G/ZsqVXwZRb1bp165g4cSIjRoxg9+7dDB06lEqVKuXr3EJCQujcuTOLFi36W8clJCQwZMgQ/vzzT7p06cIbb7yRr/PSdH/JbrfTvn17Nm/efFv6j42Nxel0Urx4cVwul+LoTE5O/tegX5OmvKTxlptLWaMf71BOzhb3f07OCxcuMG/ePJYtW8bly5e9mITJZOKRRx6hf//+igHr70jLjq1J0wMmnU5Hp06d+OKLL5RtQ4cO5ZtvvvFq8+ijjzJu3LjbMoe6devy7bff0qlTJ9q3b39bxrhbGjx4sPLL9eHDh9m5c+e/AsUFCkj54zTAqemOaK8bnpLvG/CATZHPT4DAJCTQcpW8nZzqP7XjUh3i7ST3r81qwAkeEBqOp6o68n21CzQCDyz9A08+z5pI0LO0PN94PMWMDHg74FRzc+hg/0W5jboauzjXUFV7kfvTieS0E4WOAuFUPHy+ASIjwFJAdT6iMJIMOB3yGObE3IDTHQqZIXrsBpMCEw2yp1EU3BEgMli29qlzWtowyW2MpBNMFhYlFNyJEQcGmrcxsfarLKxWFxlpbuyYlOOuJ3FsuiE4z7YlikOzVvBsfz3vzdbz6QoTfQfqmDEbmrSGxAwdBodD+nM6mT4hixf6S+fgxEAAWfLTa8dCFkacmLETRjKFuUow6UQSTynO82Q3P47sTKUcZ4lyxhFGCkWJJQArZmw8+RTM/BCWbgnhyzcTWT0P+gyBz7+Bd0bDLzshpADe16OcJ7ZEMdi1BtyxkJ0p/Y2bEUS75wuSnOQmnWCOHHJTsKi0HjZMWAkgkYLY9EFMXF6a1V/nsGaNToHOBdNSvR2/ZiSomi1VQ1/zFtStAK0nw5aLcjt1cSCz6rF4zQgXts85/PA8ZLrI7UL21cnrPtV3TDNnzqR27do3b5iH3nrrLXbt2kXPnj2ZN29evgPOTp068eKLL/5twAmSW3Xp0qVs3boVm81GmTJlcLlc+To/Tfe+4uLiqFWrFi+99BKNGjWiR48eGAwGJWIqv+RwOAgKCmL37t1s2rSJS5cu0aRJE9atW5ev42jSpEnT7dLQoUOpUaMG58+f5+233+bEiROkpqZit9u5cuUKGzZsoEmTJowfP57q1auzf//+v9X/A2h21aRJU6VKlXjkkUfo3LkzQUFB6HQ6ihYtmqtd0aJF2bZt220pPFS8eHFOnDhB165dWbp0Kd27d8/3Me6Epk6dyqhRo3JtzytEp0+fPuzevZvTp0//rTGef/75fzo9TZr+vva6oZ4OViNBPZH/UkidI1INJcV24TLLy8Wpfiwgo7oIjShW5AuABBRMRAKdmXhyXorcnup8hLHyn1HVJhIPpFSH4KuBkTwfowNql4IfjkCb2ngcqAL2ijyfQmbv+y4TjJwNfyVAh9bw10jyDlGS10MJT0e1fnJV+/RQCW6KKuDqXJUCcNowY8GKHZMUdg4486g4blOK7Yj+nICJdt1ddGmcxMrPs5n2eQElRFyEuYtxpWmpc2EaZNDqOTERgi5ydRocDpxGI06DgYgomPmhg/Pn3JQu4ebtKVCtGkx6007vfgYqlnJgx0YEidgxYcZGOsEEk44JO8Gkk0IYJmyEkYLFmYXdYGLGKxkM6QzBaZIT1u5vJ9kSihm74mwNwEqwTQrC1/nBoR3SfN0Gz6XjNoDOH891aAB3pJRX1BYonVuW2aKscalqQaxfmsGWNVYGzqxAiuw6NeLEhpl0gnHqDYSWz2T5V5nU6hRBBIkYxHMdKl9HokgVnuukc0vo0AyGz4b5W+GTURAuClkJl7V4fYTj+eHAgSfHpny/XAQ8vwEWdQL9BPlcR0JWDgTokFI7AGy8ey7O+fPnc/r0aebOnfuPjne73betmvOrr75KSEgIM2bM+Ff9hIWFMWHCBAICAnjkkUcoXbo0/fr1o2PHjlSqVIm2bdsyduzYfJq1pntJ48aN4+2336ZLly689NJLHDlyhIkTJwLka25OgJIlSwLQoEEDnnnmGS5fvsz+/ftvm3NUkyZNf0Pi/+fbPcZ9rsDAQM6dO0dERESufZGRkTz22GM89thjTJgwgY0bNxITE+OViu9m0iCnJk0PoCIiIti4cSM7duxQnJR//fVXLqD5wgsvMG3atNtaXX3p0qU0btz4upDT5XL9bQv6nVLDhg3Zt28fAE8++STVqlUjPT2dhIQEHnroIUaPHk1wsBQyabVaKVeuHHFxcQwdOpQPP/yQc+fOUbZsWQCWL19O165d8xynUqVKSn4jTZruiPa74RedBGHU0EeExwroJ2CnADU+jkgvgGlUbfdX3Ud137fis2+uQDEOeMCQHEre+R1ISoDtU/DkEhVuUVHISMBSEX4uxnWqbmX3ZmgAVBFVrtVzBylEPwgPgFV9aF26DT5bDwOfgc5PogBQtwqEqque60RotBoK+0sOTrs/mG12pTiPXYGOnsrhIIFHyU1p9Nqu1vW2GXCy5sssgkN1zNtYDJ3RT8ajDlU7qV8LVq/weCEzNmW73SdHkt0gwKpTcaKWLuPgmtWP03+4SUl2s3GX5z3egFMBthEkUtZ5FrPNjjlTcrRG2eIlKIwMJZ12zp2A9hPA7fAUXBIFhpwYlfk5jUZsOMAsVaAXsNHg8OQLxSitPUgV1I1OFz/sMvLoE34kEiFXabdgx8TgKSGM6HAZhwOKFHHhxq64a/1cWRzda2X39+kkX3MyYnU9EoAoYkkJD6BAapb3jwLCoSmut0AwZsKHb8LZ89BrEjSMhrGd8cB6o8+feD0COy7Ch5ukS/PoFfgrBZKzwU8HOW7QTYMSwdCzEkwpyF0NU1+6dCl79+79Ry5JgCtXrty2HN/jxo3j0KFDzJ49O9/6fP311ylSpAijRo3i66+/5tdff6VOnToUKVKEuLg4Pvroo3wbS9O9oZ49e7JkyRKmTJlC+fLlle0Gg4E9e/bQpEmTfB0vNTWVY8eO8cknn7Bt2zaeeeaZfO1fkyZNmm6npkyZcsttn3jiib/dvwY5NWl6QFWnTh2GDBlCkyZNCAsLY8GCBdSqVYt169ZRsWJFDAYDZrMZnU7HpUuXlF+G81tGo5G0tDROnTqVKz9n586d+eWXX4iIiMBms5GUlMSBAwfyZS6HDx+mZs2aREdHs2XLFr744gsSEhLw9/fHaDTSsmVLQkJClNA5UcBAKDk5WQGcYv+333573fEsFguxsbHs3LmTZs2aMXv2bEqXLs3LL7/MlClTaN++PcnJyfTv3z/XsXXr1uX7779XcqZq0nRH9ArwOhIgTEMCKyK1jz+evJPI+9T5NtWwE7xzeRry2K5+rHZlgrcrTbQReSzFdn9YNQnvvJmBqsepSCHtl5BC7I14h7gLd6ZB6mvrSSgUBiVFiLkNj/PUiKfCvAPsLohLg7NxEBwEizfB5nmgV6eSVJ2nAjjx9KG4RGXI5ZDX1uCQqpkL56DI9ejEiF0OERfFeDy5N51eQNOIE7sqfN2oAqRWLBhw8tQLRr5bbsdP70CPS2ln9AGa6n7VuSfV4FO0URcJUkNYg8GB02DEgIOiVYyUwoZTPt7gdCp9l7BexpStqs7ugMAkl/L8CmhsC4SChSDGBuHhEpS0mT3Fl4w4cYgCRgYwGqQ8ojYcmHEpBZCk4zyw1W42Y3A6OZ9qplObdCYtCOHpvpI7UwDgAL0di7+L9Awdbr0fJuzSijhcvNL8FNWahlK/TQT1mvjhJoUg0gkgiwIxWdJrSn19iHyx6ny0ciqEshZYPx4WrYdW/wdvPg2NK+MpwKX+QUG+jt7bBN+9BHoT6PpKXdaKgrW9QCe/Tt3ZoP8Aeh0/TmXunsaMGUPx4sX5v//7P4YMGXLD/+OTkpKwWq2EhISwePFiVqxYQUhICJ06dcr3ee3atYvU1FS2b9+er/1OmTKFL7/8kosXL6LX65UfcuPj4xk0aBABAQGMGTNGc3U+QIqOjubs2bOAlDMzKioKkCKmatWqla9jud1utm/fzsWLF2ncuLEGODVpupd0BwsP1atXD4PBwODBgxk8ePBtHvTOye1243K5/pX5Rys8pEnTA6yMjAymTJlCVFQUgwYNAqRK3lu2bCElJYWNGzdiNpupUaMGv/zyC4GBtydTcmxsLE899RSPPPIIY8aMoWDBgmzbto1p06axadMmpd38+fOZOXMmX375JXXr1v3X44qQ8tdff51Ro0YREBCA2WzG6XSydu1aDhw4wMWLF/nxxx+Jj4+nU6dODB8+nH79+vHHH38o/ej1erKzs285b+b58+fZtm0bL7zwgldYu06nY/jw4V5FoUB6M9fr9belCJQmTTdUQx20xZOHU1RzjkICfUXlW3XBIZWbTAGS4B2iowagQr7uTjXwFLcOnzao9tvwAEnRRgVHM7PBGAhmnbwtRm4nXJ0yqE0HanwI52bjgUjZnn7+vAYjV0B6FpiM4DBAoVAI8oe9p2DvF2AR0TUycFJXRrf7S/DS4ACdKDojFCrl5xQOQ2ugHrvZrDgHBViUTtugFOVRh7ALyKnO12nAiQ2TAvyk07Yrx5iw8/3X6STE2nn+/yK8QtLBO2zdiBOTHAIuIKev7EoovLd8w+eFxHgGnAroBLBk2r3nYdZjtrkUt6bBIW2bM1eHxeyk9wAptF99/uANXJW+sXrOXy6eZHA6sRo8rlk7JtISc6hT8Cp6Pexx1vRaBwcGulU5zZULOby+sDR1WoRiMOqY+MwZeo0qQtVmEcpaNUr6TYKL2Xhyw4J03Yucs/54gOV5PNe56jqxZ8PgLyHTBvMHQZBb1U5+Db27Gkx6eKU5dJ8Py36Vtj9fBxZ1xvMatcHxX6DqDinaICDAu8jTnZLVaqVdu3YMHjyY77//npSUFAwGgwL/xP99Z8+epUyZMkRERJCenk67du3o1q3bbXNxdujQgUWLFhEeHn7zxn9DwcHBHDp0SInk8FVGRgatWrUiMzOT8ePHY7Va+d///pevc/g7unTpEkeOHKF9+/Y4HA7GjBnD7t27mT179j/OofpfldVq9fos/cEHH/Dqq6/m+zjff/89bdu2vSciobRIpAdfGm+5uZQ12g0htyezimesDAhtcv8XHnI4HLz55pv89NNPNGvWjIkTJ/Lee+/x5ptv4nA4ePbZZ1mwYME/+gygQU5Nmu5Tbdy4kYkTJ7J3796btv3tt9+YMGEC3377LXq9nqeffpqdO3fSs2dPpk2bhsViYcCAAXz88ce3dc6rVq1S7OlXrlxh7dq1uWBmRkYGjRo1Yvfu3f/qNS3g4qZNm3j88cdv2n7v3r00atTIa1t4eDhJSUkA7N+//1+D15MnT1K5suSn8X3r1el01KlThwMHDvyrMTRp+tuaovNAwKt4XIwGJNgZKN8KF6c6bFYdqq6OYnaq2qrBpOjXVyIPoThWXWBF7WJTFzrCs/98PJQZBlVLwNFZqjbZSPBWzm94JhWeXQXrX4XCoqK1HKrvssMrX0FMMszuAcXF/hC8HHRKODyex45ATzi0AJi6VLznqgKcwu1p94dkS6iXU1PI18npWT7vMHM7JhwYvFyZ6scODJixo3PlMLzrVWavKiQ5LvMk0eK0PJDTM5ZBcTKKx3k5Sz3zFK5NaRxf12iuvmUQqV4Hcf56Vw4vdLPzycpQpT+xJgYcZBCszEOcry9wNWEnnSAF0Ipx7JiYMyaeNQtSKF7OxGc/l/VKC9Ct3DGeHl4cPU5O78/EmuZg0PslKFranzBSMOCkypmz3uDSiPSaMSA5io1y6H0S8KfPQvle37KO/QkTV4PbDToduHVQLAIcDlj9CzxSCYr7w+i2MHIV6ID3WkMBcW1mAH/AqApvsGbNGk6dOkVGRsZt+zHzZtq/fz/vvPMOa9asuW6bO5W+xuVyMWbMGPz9/ZkwYUK+9n358mVq1KhBYmLiTdt269YNh8PBli1biImJuSuVsd9++2127tyJ2Wzm2LFjuFwuhgwZws8//8zatWuJiYmhePHid3xe96tmzpypQM1q1aqxd+/efH3NuVwudu7cSfPmzfOtz38rt9udZ556TQ+ONN5ycylrtPcOQc6G9z/kHDduHAsWLKBnz55s3LiRpk2bsn79eqZMmYLT6WT06NEMHTqU119//W/3rUFOTZruUzmdTt599908i+LkpT179tCnTx+OHDnCb7/9Ro8ePejVqxeBgYGMHz+egIAAevfuna95qa6nHTt2ULhw4etWR121ahVfffUVa9euveU+CxYsSGJiIkWKFCE9PZ1hw4blS0XLFStWULhwYZo2bfqv+xLS6XQ4HA6vX77j4uKIiooiKSlJqbiuSdMdURMddJPvpyK50MLl+6lAYSSYV9rnON9K1ZA7VF3tuoTcwNM3pCcbTidBxWFg/xb8VKDTnSPBHsAbogJVh0OIBdaMhMJheNyZAJlS2O7gZVA4AAY1hEJlVPM1wpG/YOjn8PoT0DYaD2QNRIJUIjwe1WMx/1BP9XTFvSnOWbhPZRBqcMihxEjh2NZAPelmKa+vgG/qcPW8JECeKH6jrr4uDesNPEXIugEHo7teZPqKol4OTXVbUfxILbU71Le9tITXf+wLOn37VMNWuxclz31sv25ZfLQ8zGu7p4q8wcvJKvoSRZvM2EghDIAAsrzWy4SN5NhsZoxMJDk+h+mbKir9xZ/LZNRTp/nkaF10Oh1mbJjk2vRRxFEsLjG3c1Ok4xMuZ4e8/yq5rlvFwQye6wXVPpVcLjh5GTKyoX4FcKTC/jMwayN82QsqToLzr6n6Oir3vUr6mK/T6ShTpowSUns3NGjQIBo1asRzzz131+awf/9+3njjDZ577jn69OmT7/2vWbOGN998k8cff5z33nvvlo5ZunQpL774Iu+//z46nY6BAwfm+7zUslqtzJs3j8OHD5OWlub1WcvhcGA0Glm+fDlLly4lOjr6b+VO+68rIyOD4OBgHnroIS5cuJDv/e/Zs4fGjRvne7+aNN1IGm+5uTTI+fdVtmxZZs2aRfv27Tlz5gwVK1ZkyZIlSgqO5cuX89Zbb3H06NG/3ffd97jfJqWkpNztKWjSdFtlMBhuCjiPHTvGrl27cLvdNG7cmDVr1jB16lQaN27MuXPn2L9/PzqdjnPnzpGcnExkZOQN807ml5o1a3ZdwAlSrs5z585x+fLlW+qvTZs2imviypUrXLt2LV8AJ0DXrl3zFXAK+Yb2FC1aFCDfw+Y0abqpdrulSutmJPdZabyLB4lQ2vPyrQ0JnqgrhouKzwLYiP3gHcYuiu9c7w8oXwgiQ8HPAWTDW19C9EDQdwannVxV3bf9Acdj4NMhULggHsApAyaHExp8CAOfgAmtoJA/Uu7OTM+5bfgdRraWAafaLSrWQBQ1CiU3pMqWqqcbbTLAVBeKkY9zyIBU580DAbA4s+SuPODRgIMArARgxSQXuxF/JuxYyMKEPVfYuZDIUWnzAafSUyN6MuZqDxJslCCrlJ9SCqU3y0DRiA2zV/822XEq5HvfLs9UHG/HrOQgldoYyfJ67F1ZXhwn1sipmqcaBAv3qcCeNrkSvR0TMZQgmTCsWEgkgnSCSScYOyaysJAdVYaSNUP5ZXMGY/8XSyxRJFKQaYPjCAgzE68rjJUAwkghggTqnTlGsT8S4RzS6yJVujYcDcBWWPrDIW8/gHS9iRycouK6WCZx7atfL2Kf0/Onz4EqxSTAiROMTmhYAgL8oOdCMOjg2aXyceL7wCqPj+H48eN/qzLp7dDcuXP5/fff6dixI5MnTyY7O/vmB+WzJkyYwA8//HBbACdAp06dmD9/PkuWLEGn0zF16tSbHtO9e3fS0tL46aefGDJkCIsWLVIqc+e3HA4HzZs3Jysri969e7Ny5Uqv/Uaj9Frr2LEja9eu5dChQ4wfP56FCxcSFRXF999/f1vm9SAoOztbybN68eJFMjMzb3LE31fjxo1599130el02nOhSdO9KN+Cgbfr7wFQbGwsNWrUAKBcuXKYTCblMUg5Ry9evPiP+n5gIWdoqJTVPzk5mf3799/l2WjSdHcUEBDAo48+yrlz5wDIyclh4sSJpKamYrVaWbBgAS6Xi0KFCmEwGBg3bhwTJkxgx44duFyuuzr3JUuW0KlTJxISEm7YTqfTsXHjRgDOnDmD2+2+a3nHbkU//PADIH3RyEuFChW6k9PRpEnSDrdUGEWEpkcggcIoPKHZRjyh36l4wsvBk9vSoHoMHniTjaeCO9zwA5pOB1c/hUvXQPc0bDkEFiMcehuOngFdL5iyVmq75TC0GAc9mkHlMp4hTybDkp9g4CJ49nOY3ROqFcdTWEkdci/n49SLvJ/q4kqiuruAU+piSODtVFW/pFX3Rb5Og2qbI1AKVTc6XTgNBhnMeRoYcWJxZmGWQaZJrh7u+ycBT28Q6ik8ZJTzfEr5Jc3YcDiR4aRJgY82FYC0EoANE+kEK87I3NDRQBYWsrDkClMX+60EKBDRiUGGikGkE4SVAKUPuzwPQLmvHkfsc2LAhV41foAqX2nuUHlpDKMytrp4k3p+sURxgsokE0bFEW15uGcZLl2Aj14+TSxRXPvLzuk9STyvW07RxKNEEk/04Ysex7MT6bVSDdzlpSJSpmwwn0N6rQjYGCn/mfG8FsS1Bp5UCOqiRL45asVfKp7cuQ5Y1B1W9IbTr8E3R8Em9i33DtSqXLkyp0+f/sdfGPJLH3zwAWvXriUkJOSWUsn8U509e5bly5d7bRs+fDgdO3a8bTk+herXr89ff/2l5P9+4oknSEtLu+ExRqORpUuXsm3bNg4cOMAnn3xCkSJFmDRpEpUqVVIcuC6Xi+zsbH744QcaNGjA2bNniY2NpVatWpQtW5YqVarQo0cPnn/+ecaPH+/1HejAgQOUL1+e1q1bM3bsWFq0aKFATV+ZTCYuXLjAV199RfHixRk4cCBbtmzhzTff5MiRI/m3WA+Irl69SqFChZg1axbAbSvmuXnzZkaOHMmkSZNuOU+8Jk2aNN2LCg0N9TIm1q5dm+DgYOWxzWb7x6kwHhAOnFtiQQoUKJDrl+ucnBxcLhdmszmvQzVpemBUtmxZNmzYQJUqVRg6dKgSOtWoUSNCQkJwu93YbDavXBfr16+nevXqJCYmUqxYsVt2U+a3qlatymeffUbLli3ZvXs3QUG5vf/idR4cHHzTLxD3iuLj4wHw8/PLlZczOzsbf3//vA7TpOn2axbQFw9YiUACmSJMWxQKEkV3HEgVpA1yOzn3oJe50IwEZdRwUB3q7VuoyAhDvoCrqbB8OJz+EIqHw5+XoXpZmLgCyhWB7BypecvqkP41BAVLfaRbIaw79HwEoiPh0YpS9elL1+BSihRKrrdKc9QHgs4Cej2cuAw1iqrmLcLME4FKPnNUF4ExSBBTd72iSf4oRXSERP5OkKp++8qMXSnOk3euS4fPY6dc3VwKNReh2iL83S57HC1YcbvcSpi7aCeOl27t2G4QJi+clBJU9Q53F2H06nnalLmYAE9F9OuF5gsHplgHgHSC5f4zFXAqcoPaMWOSLzjRpxquivmIsHiRr9OKBSsWJUdnDCUwYaft4q68qZuG1epihG4uIcUs1Ho8lCYNc+jd5C9Of+L2Tr1QGOn14ZBysIbE2yX4KdIxGpFSP4D0OlBfJ745Z8V2J94gPUO1Xf3aEj8gyM5jPfBkBfB/J3fOZ6GMjAwqVKhAv379CAwMZMyYMXct1G3IkCHs2LHjtvR96tQpBg0aREhICDt37iQ2Nhaj0UjRokXp37//bRkzL+n1evbt28euXbt44oknMBqNtGzZkhYtWlw35Lhp06Y0bdqU6dOnU6dOHdavX8+8efPo3bs3MTEx2O12cnJyiIyM5OOPP2bEiBFcvHiRJUuWUKlSJex2O8eOHVNC0R955BHq1atHTk4ObrebWbNm8dRTT93S/B966CEAtmzZQpUqVahSpQrjxo1j2LBhfP7558p+TbBr1y4yMqQXa1xcHEWKFMn3MdxuN7169WL79u00a9Ys3/vXpElTPkgdvXQ7x3gAVLlyZX7//XeqVasGSOk41Dp69Cjly5fP69CbSsvJqUnTf0Br1qxhw4YNvPjiizRs2JCtW7fSokULAE6fPs3UqVN555130Ol0FC5cGJBCwDdu3HjXK36vWbOG0aNHc/LkSa/tW7ZsUVwgLpfrvkp6rtPpaNSoUa43c7Hvyy+/pFevXndhZpr+82qmg6eRoGWsvM2ABHNEBfIgPO5GAT7VUnN6dV5KyFVcxcvZKW8/eB4CA6FCCZ928v4cm5yr07fSOjB2KfiboVAguAC3A9BL+QzdOeDKkY5x54DLDW4joIMfTsPIVtCqnNyfKDAUieTgDFWthThHAzgiPIWEcjk5VWHqILdTFyMScDgQCILkQgFeIBGv7jzh5b6Q0zcvpdrBKLWX+svJzqFH9AnWXyifZy7PG4W/3zjvpnchJHWuTGmbJ4eo+lixX8xFXQxIvV8cM7bbOaYsL4kTo+RKxZOXNIsABXyKYkJCNsyK61MonWDiKYxNDlcX5w+wsNGXxP+RRMOXazDozXDK6i9SK+Ykg4dB0RAY2xLPNRGKBCHFcsTjKdglJNIrCOezGu7nFa2tvpauF+2arWqneg1kHQXLCunhb7/9lqsytviRLTIykqNHj1K9enWOHDmifMG403r66adZvXp1vvZpt9tp3bo133zzDeHh4fzyyy/3TA5Dl8vF7NmzeeWVV3j00Ue5cOECpUqV4rfffuOtt96ib9++ef6g66t69eqxbt06VqxYwRtvvMHatWtp3bp1nm2bN2/OX3/9xfz58/82GMvIyGDOnDls2rSJ7du3K9sbNGhAbGwsly5d+lv9PYiKj4+nefPmnDhxgpCQEBYuXEjnzp3zfRybzcbkyZPp2LGjVvFe0x2XxltuLmWNfoeQ4Ju3/1djpUNo7fs/J+fp06fx8/OjdGnfpP+SlixZgtFopFu3bnnuv5EeWCenJk2aPOrUqRMVK1bk9ddf5+eff6Zhw4a43W5cLhcVKlTg5ZdfpkWLFvzyyy/KMZ9++inFixdHp9Px7bff8uSTT961ub/xxhu5th8/fhyAGjVq3FeAE6SKqhs2bMBqtWKxWLz2LV68mOeeey4X5Ny0aROzZs2ifPnylC9fnj59+ty1KrmaHmDtcMPnOk/o7J94QteT8IA5J568gkF4QnHBG/Zl4gGUvqHqvq5O+X6taLyrkquPd4CfCI3PxOtTjC0d9vwJ20fIc1E749QuS/E41XN8bCq8thamPgVtKuNdFT5VdZ4gAU5VsSGQK2eL/lUQy2hDKjgj5gGefKHI/cqQqkBGFhghuUSA4soU+FItAfmk4QwyQvQsulWVv1LIgJO/EoxENwwlXa5ErqybDASlMPUggslQxvaM6V1Z3a5yZV4PuorjgFx9+VaM983jmVcYfA5+ZMkOzGDSscs5N8X5iQJDVjmMXkBTAX4F6LTL0FM4QQEvZ+rAn59hrHk2tToWw613UMF2CuLho3ZQcRQMrAYR/vLzKPLQpuLJSxuJ9PwnIj234jpVuzvULkxU+9UFs66T/uC6ckCAv6dCeZ06dbh27RoFCxZUmkRGRir3q1Wrxq+//krPnj3p2rUrw4YNu+6XpXPnztGiRQtsNhtxcXG8//77jBgx4hYmdWOlpKRQt25d5s+fn2/gpn379kyfPl0513sFcILk7Bw2bBjDhg3jl19+UcL0Hn30USZOnEhwcPAt/bBss9koUqQIbrebsLCw6wJOgO3bt/PNN98wbtw4fvrpp1ua5/nz5+nTpw9BQUGEh4crbtioKIne79u3j5YtW2rRJ7JOnDgBSMDhdhgDtm7dSsWKFWnUqNE9CThTU1OVNHGaNP3npc6rfTvHeABUoUKFG+7v0aPHP+5bc3Jq0vQfktvtZtWqVQwZMoQrV65QsWJF/vjjDwCGDRvG6tWrOXnypJeT4JdffqFBgwYMHDiQuXPn3pV5jx49Gn9/f8aPH++1XafT3Veh6moJMJvXW7BOp1O25+Tk8Pjjj7Njxw6aN2+uuCn69+/PJ598cucmrOm/o5Y66IrkSouXt4UggTkB9tRFicADFSPwLpqiBjvqPJiotoEEfAxyv2p3qA/gVMLhHXggpAyA5m6GqBDoWIvcVat9x1M75Www6UdoUhq+PwtnE+GDF6BsYVV7kVMxUJqj2yCFnKvzbOp8w5F9K8urixXJ7k0v+CpylwJEgC0UbGYTVoME50SBIrNNchw6DHqyzBavEHEPwPNAPeFUdGLg9XanGbe+jtJeuBfVoNKsyu8pPfZ2d/pCV7HN18EpLYFJPnVPNXWRa1NASOHIVD9WO0LtmAjAysRufzJ8ufcXfHWFeQtWL3iqBp0CfIr7dkxehZaktfCc57aJP1Mg9gQzPjFT8nw87AGSIDYFar4P5z6GoIp4HJrq14G//DgbD+A047mG1csprokMvF8LQr5wUw3u1dscwDHgS+n/jXPnzlGtWjWsViu///47tWrV4kZ64YUX+PnnnxkzZgw6nY7HH3+cyMhIjhw5QsuWLbl27RogfSEZNWoUffr0yTeY06ZNGz777DMFoP0bpaSk0LNnT9avX58PM7uzstvtFC1alKSkJKKjo6lcuTLffPNNnjkz+/btS+XKlRk+fDjh4eFER0fjcrlo3749mzZtIjg4GD8/P5xOJ06nk7S0NCpVqsSnn356wzlkZGTw/vvvs3btWr799lslr6QA52r17t2bSZMm/adD1tU/sP/5558UKVLklpy4f0eXL1/mxRdfJDs7my1bttz2fLL5oYsXL/6nr4sHURpvubmUNTp8h5ycNe5/J2deateuHZ9++qlSkPefSnNyatL0H5JOp6NLly4EBAQQFRVF7dq1lXCxkSNHsnHjRkaPHs2HH36oHFO/fn3279/PK6+8QunSpTl//vwdn/c777xD7dq1adiwIa1atfLal56efsfnkx8SlUsHDx7MRx99dN12SUlJSt4ydbjY/PnzWbZsGampqbd7qpr+a9rqlkBnWySwpw6ZFdXDhRtR5BsU23wL8Ih2AoKqQ7VFf2qXp/pYlctRAaYOVXs5DPhiCkxYAWEWGNRWNV91v6i2qW8FtNWD3h8+eAaS3DDoKwgOgI/6gSkED8iSzSo6pzQdnZPcTk31uL6/6IsQf98wffU8ZZepORHMRjshgfbc1TQdYHa4CPTPwGGG9BCpYJAoUJQlOxUFZHRiYOkH8Rj8dF5Q1CGDUKlOuU2+tXuBSCsWBSCKQkRq0CmgpgClIgRcuD8BspRwerPSTh1OnyXvE0DTrgphF22dnFMApphbuuzSNGNTHKpqcGpVFUcS62HAgQkIwEEWFsykK2OVIIYUwhj79BHGvJxNyW2pnufeAFEloWsz6DADfpyDAskVSK92aKrBJ6ptvvlpReg55A1A81JeLg7VtjJlypCZmYnRaKR27do3BZKfffYZx44d49NPPyUzM5OVK1eSk5NDmTJluHbtGtHR0YwaNQqn00nXrl05dOjQDfu7mYYPH87Jkycxm81UqFAhXwAnQFhYGPXr1+fpp5+mbNmySh7y+0Emk4nExEQyMjKIiYnh9ddfp2TJkhgMBlJTU7HZbIwYMYK5c+cq/+9PmzaNFi1a8MUXX7Bz505OnTrFmjVrCAoKwuFwYLFYcsHJG6lJkyb06NEj1/ObVx+BgYFkZ+eVb+G/IXXl9CpVqhAWFpZvgPPo0aNkZ2cTHBzMhx9+yObNm5k1a9Z9AThBuo5iYmLu9jQ0abo7uhPVzx9ggrdr1y6ysrL+dT+ak1Mlh8Nx3SqDmjQ9iHK73YwfP54TJ07w+eefExwcTO/evRkyZAh169b1ajt69GimTJly13J0HjhwgF69enHmzBnat29Pu3btWLZsGT/++ONdzxv6T5SZmcmrr77KggULcs1/4MCBzJs3T3ksQvOrVKlCmzZt2LNnD+np6Xe1MJSmB1wCcgp3ofpDm0H1WDgmhQtTgBunap+6xp86nFsNHIUzVJ27E5/7ZjyQSC7G8tNZmLMJFj4PgRY8Tkrf/m14AKN6HnK/k1bx/+ydZXgTWRuG79RLvUBxdytS3K3o4rLYLg6Lu3txWBYvVvTDdVlciusW6+IUKE5bSt3bZL4f6UyTuheZ+7pytZk5c86ZySSZPPO+z0v9EtCwClLk3fWH4HAAOjWCQb9obG+i0QfEFW410aw4L0b0ae6XxnEVdDW8PTWFr9j9xhaEjUAwVEeW6oXHRJkq9WIiQS9f0WXDqiimHLSNjvaMsckQBT51lfZwKZJTc516GjEFijRTwWOmpZQKDYViTFR0Onh4tNtnNkIkf0wlegRiimG0oKoZzSmOJUaHquehx8aulxmyv470XCwupFltXpyz+Dd2mj1oR5fqosSOO3wlB00DLvHJ3IaC173AAn4fDJPbQlljYgpumagfbWfCjF+hWk6N18JI439R+9FcJp5z4vtE8+aBplYUX0Gu2GguVwL3ga1xvwcXL14s2b14eXnRpk0bzpw5k2Rq6YEDB+jUqRMfPnzg8+fP1KhRg8mTJ7N48WJu3LjBvn37aNu2LY0bN060n/ho164d+vr67N69O8NEm0+fPjFhwgR27dqVIf1nNs+fPwdg+/btGBkZce7cOW7evEnRokVxc3OjdOnSPHv2jJMnT9KyZctUj1OrVi1u3ryZrLZWVlZ8/fo1RSLqj0RQUJBUBdjExIQzZ86kmzVCz549KVeuHMuXL8fb2xt9fX0iItQ3jIKDgzEyMkJX9wfJV5X5LpAjOZNGOkaPMymSs9yPGclpZmaGq6srRYsWTVM/ssgZq6+E+vj69SvZs2ePd52MzPfOpUuXOHLkCCtXrqRp06Y4Ozuzdu1aBgwYIP0IUSgUcfy9sgKVSsXo0aN5/vw5Z8+eBRKuJPs9IKY7icWTBEFAR0cHQRAIDQ3FxcWF+vXra7VfsGABU6dO/a73W+Y7QBQ6Rb9BMUglVvGdBFPKY6ecQ9w0W4hbvV38XxwjdnuN/7uuhq39wET06dRMlQea/gnWRqATHVGpUqE2z4xuJ+iAQhfCw2DTCLCx1Bg/WpBcuBuuPoKVQ6GEWDBXrCQfu4pmbPEJtEViN2LS1Y1Q2wHkQX1sNYPZ4hNqExK8NPdbRCNSNNwCQvX1aN0c/jycDz1LM/ywlITC+AVGtSenGImp6cFpTEh019op6LEjPEMwljw0NaM71bsTdzsDwjWWxC2+5NT1IgP2N4qT0h577iLinDULEqlFT3W4ZEHe0+jzTQRDUJxFHZX8KPq18YIwAWpvgLsTQZE9+vWK9qF97gqlJ0L4GjAQ3wficdcULzXPDVHgFqM1xZsAogivefMAEvfk1Dw3HkT/3RT3+8DBwYE9e/ZItjQ9evRg9+7dSX53nD59miZNmvDPP//QqVMnPn78SP78+QH1d5Wvry/FihVjz549NG3aNNkBAu/evWPo0KEcP348We1Ty/Xr19m8eTOrVq1K9/Thb4EOHTrg7+/PhQsXAPjjjz/43//+h1KpTFN0ZYUKFXj48GGS7R49ekTNmjWlauI/Ix4eHuTJk4cpU6ZIomRSODo60rt372T7qQuCwIsXLyhVqpS0LLGAnPXr1zN48ODvzqde5ttHFjmTRjpGzzNJ5Cz1Y4qc5cuX59SpUxQoUCDpxokgi5zJJDw8HENDw6Qbysh8h5QvX57Hjx8jCAJv3ryhdOnS2Nra0qdPH4YOHQqovbjc3NwA9fshq9NmRDFQ/P97RtOfs0iRIrx580Z6Lfbv38/EiRMBWL16NSNHjmTKlCksWLAAJycnBg4c+N3vv8w3TFMFNCOmQrSmXiAWHtIUXEQ0hTexSIsoAGmm6mpGN2pGh2qKnJoCnxiRGQZfI2HuAVjRQ2O8WIJq17WwfzAxQqrYXwGNMUyIKfgiRq5qRuDpgZ8fDPoTclnByjGgo4M6dV1ThxP1tSCN/pSohU3NfQgmRiDWTOUXq7nnRS24mRIT4afp7xnf79tY4q6Ehm+p+2sYOg9OrY7eZ0MIzwXe2bITiKnk3anpXymmtseujB6zy9qV09VTjHkeQjYCMdMSOaNiiZdiunnsiEtN4VKJLhu7XmbQ/gbSuNq7HzNjUXzVQymlvovCphilmpdP2Lq+UAv4l6M78SfGUzMKsIGjD+BBIMz6VeO4e4H7F6g0GwLCQfgf2udn7NdI83/NyGeAAOIK+2I/8S2PTTgJRnGCWpDU1dWlVatWnDx5EkEQpJtpgiDw9u1bChcunMgA6gyCJ0+e0LJlS968eSMVWblz5w6LFi3i06dPVK5cGSsrK549e8bDhw/Ztm0bZcqUQV9fHzc3NypVqgTA/PnzKVq0KN27d48zTz8/Pxo1aoSrqyug/j709/cnMjKS+/fv07x5c44ePUrbtm0Tna/IsmXLWLlyJbdu3Uq3dPhvBT8/P3r37s2tW7fYuHEj7dq1Q6VSUa9ePa5fv57i/qKioqhfvz4DBw6kb9++ibbdtWsXEyZM4N69e+TOnTvRtj8qYWFhGBsbS8+Tew2WUpEzNDSUV69eUbZs2WRFzMbnnZpZJBYoJPP9I4ucSSOLnN8Wcm52MpEFTpkfmfPnz0sGv4ULF2bevHlcv36d8PAYg7AXL17g5+dHgwYNpPeDGH2YFfxIKVLiD0/xWIqG7YULF8bU1FS6MB45ciQ1a9akd+/elC1blsaNG5M/f34UCgXBwcFxKrXLyKQZPdRinihQakafBaMdhRlOTIGVMI3lminqsaM+IUb0EaMxidUmdgp8sLrt1pMwuglxU+LR6ENXY/6iqCgWENKcp3n0Q6zaLgqV0W0sA2D/IDjzCuwHwsRfoHlj1AJm3ujxPxEjXgJoWpJpirqa+x5GjACsBN6hju40QS10mhATNap5vGMfH03tURR7vTTahkOREChuBg/OQaVS6jaGbpDP4iuYfMWjvAVBGpXXRUFS9McMj05mF4v8AJKPpnrYmIhKTcEUkARHMXpUva36ryhwao5pGCv6EkBAESfaVIzmFMcQhVJjQqQITyv80EWJGYEYE0IuvLByDVVXP78dfVxFgbNg9DHLq35d2rWC2eNhUiswyhb9GgNFrOD4KJhwENY7wx81NV7T2JYImqKn6GmrWUUdjXaJWR/EjhKOAh6SoMAJ6u/Jly9f0rZtWyltHWK+cwoXLsyjR48oX768tG758uX06dMHKysr9u/fz5MnTyQRR7PSadWqVTl48KDWeC4uLhw5coSPHz+yZ88eVq9eDcDEiRPJnz8/06dPx8bGhvnz51O4cGGqVKlCREQE69atY+DAgfz333+SD/igQYPIli0befLkoVatWjg6OjJ69Ohki5zjxo2jePHizJo1i02bNiVrm+8FS0tLBg8ezP3792nfvj2CIBAREYGHhwft27fn9evX5M6dG4VCQUhICBYWFuTMmZN169bFWw197969FCpUKEmBc8+ePSxYsIAHDx5I1et/NlQqlZbAqemVLggCO3fu5Pfff+e3335jx44dWtuKQQPJxdjYWOu9mRRZeV0sptPLyPz0yJ6cqSIsLIz//vsPLy8vVCqV1rrkfu9rIkdyysjI0Lt3b3bs2KGVMq2np0fz5s05efJknPaBgYGYm5tToEAB3r17lwUzTrw6+beMaFYv3sn39/fHysqKQoUK8ebNG0B7n8T2KpUKS0tLVCoVtra2fPjwgQkTJmBgYMC4ceN4+PBhii6GZWSSTWsFdCQmDVezaFBsj0lNIU+MiBQLCMUW5aKIEUXjS1WPnQauKYpGwZj94NAZzMw02sdK6+7qBPvHoRY6DYkRDDWxUPtYRhipq6XriYVmvqr/NhgAubJBtA6HoICbH6F+XnBqAdmyxdoX8ThpepjG3p/4LoJFEVbT31SMdBXFZlHk/IR2kRvNfsXtNceMFqXXXQSlCoa30piDicaxyQtRhuBtbkFodJq5SCBm0jJ1IaAYgdGQCMKjiwCBdqRlOAZakZ6iUKrp6ZmNUEn8VB8Kpdb/uihZ1/Uao/dXi3XIxBT0CKkKvDEhUsRmNkIwI5DsfCVbSCiG/qjPSy/UAvWn6P/DgSLRx1gM+vuqPj7PHsOa67CmffRxtI45djvOQ+/NIKyM3ia2/6zma6BJeDzLtHcshvjsEMTXfWLyvv/s7OzImTMnp0+fpn79+ly+fJmXL18SEhKCv78/J0+eZPLkyfj5+UmRnZrfsUuXLmX58uXo6+vz9u3bZI0Zm2vXruHr68vatWsZNmwYVapUIV++fHHaKZXRQnY8noPinPr168fmzZuTNW6nTp3YtGkT1tbWSTf+Tpg/fz7Tp0/nzZs3FChQQEvcioiIICgoiIiICHLkyMGVK1eoVKkStra2eHh4EBUV1/fCw8ODPn36cPr06QTHVKlUlC1blgcPHsQrlP4siOfgoUOH+PTpE8OHD5fWlS5dmmnTptGtWzcMDAwICwtLMkjG2dkZZ2dnFixYkKHzzmjc3NwoXry4nCr/gyLrLUkjHaNXmRTJWezHieQ8ffo0v//+O97e3nHWKRQK6bogJfyAOrCMjExKGTduHDt27EBHR4dly5YxePBgunbtytOnT/H19cXKykqrvZmZGf/73//47bffMDIy4uvXr8lOv/nZqVy5Mnp6ejx8+JBKlSrx6NEjAN68ecPx48dp3bq1VnvxuFpaWlKqVClev37N//73P2xtbSlfvjw+Pj4AHD9+nAoVKnx3oq/Md8AJAY4o1OKOZjqumN4NcVPKNSMV4xEfgRiRTRTxICa13Uhje7F/sW89cP0ADz6BmZVGXxqFeNBDHZmpizpyU6wEr5HWLkR/ZIlFegD0RP9RfyQRLJcx7G8U3bfGx9x/ftDuOHQrA/0rac8vTmSpZiRnbGKLoGI0qVitWxRNvdAWv2JHA2qiKaJqpLIPrgr26+DoPfWiA8PA0iy6rT/wFfQMIbepP8GlA1Hq6RGiaxwdzaknRVha4kcEhnwlOyFkIwJDSZgU67SLAmgEhkQQv3CpjroMjZN+ru2hGSG5cGpGi2oKrGYEEo4BZgShRJfseGOJH2bhgZj4qGKOoyiw+6N+rUSfzeyozw9RXPaK+VvaCo65worOoCf+lvBXH7MW0ZZRKgXoiB+9mp6bmogp6JrFsRJCM6U9dluxortbItvH4uLFi1SpUkUSIP73v/8RGBiIpaUl3bt3p2LFiigUCgoVKsSdO3eoVk0tJovfJ5cvX2b8+PFYWlqyfft2evfunfzBo6lbty4Abdq0SbRdYgVVAgMDKVeuHFu2bMHJySlJQSUkJITChQuzefNmJkyYkOI5f6ucPXuWq1evSlkfmhgYGGgJumJxKH19/QT9Otu2bcv69esTHfPTp09ky5btpxQ4g4ODtbxdg4KC4lzzrl+/nhYtWvDbb78BkC9fvngFzqCgIHr37k2PHj3o1KkThQoV4t9//02XeUZGRqKvr58ufaUUHx8fKUJcRuZnRtBR3zjP6DF+JEaMGEGXLl2YOXMmuXLlSpc+f7BDJCMjkxpsbW1xc3PD0NCQWbNmsXfvXurVqydVN4vP/LdXr17s37+f8PDwdKso+TNw7do1Ll26hK6uLg8ePJC80QRBiCNwauLt7c3Tp08JDw+nUqVKBAcH89tvv/H582eaNm2Kubk5lpaWUhpVSEiInD4kk37sQS0EaXpGis9FH0NRXAS1CKMkRtAh1nLNgjoiosAk/g0jJloRpLT0Ky9g1RVwnkPclGBRzBSFTUNiovOiBS3BAqIs1JGbSj119KZBGBi+A3yAu8DT6P/DQRDT4a2j/0Y/bHPBud/gcyD8shfe+UfPUxQnxf0V568ZoSr+Lwq8msdO7EPcZxHxWARrPJQJPMTjF0aMKBYGOipwHgxn/gDHLvCrIzRaCN6eqIU7r+jHJzC5rsL8egS5b/tT8JEX5V6+wvbzCyzxkyIls/OV7HhL6etfyR4d5anegVANf0+xGrq4Tpeo6L7CpQJButF+mmK0pyhoahYkMiMQS3zJRii58KIYLzEjkOK8whJfqobcpfT7t+R+6Y/JM5W0PwRHv6bREbqSEC16ywZEL3+ncRyiq6mfGA+FpkGET3S7cPXxsrGCxW1BdyR024x20SHxtdM8B8RlsQVOTVsGze017RvEfvxRn587kn9Dy9zcnGvXrmFrawuoszdCQ0Pp1asXRkZGWFpakjdvXnR0dCSB88OHD9L2Pj4+GBgY0K9fP86fPy/5ZmY2pqamuLi4AFCzZk0pKtHJyYl8+fLRrl072rVrx9ixY2nevDn58+fnwIEDcW7Ufu+cOnWKLVu2YGVlFSetT5OwsDAWLlyIQqHA3t5eKlgTFRWFn58foL4myZ8/P1WqVEl0TEtLS16/fk1ISAjXr1/n3LlzUtX3Hx0xiqhUqVJ4e3vHEThfvHjBkCFDWLFiBaCOzowv9d/LywszMzMOHz6Mvb09AMWLF+f8+fPpMk9Ni6nMpnr16nh4eGTZ+IkRHh4uZUXJyMh8e3h6ejJ27Nh0EzhBTlfPVIKCgn7IKo8yPx4LFy7kw4cPVKlSBVtbW9q2bcvnz58TbK9QKMiePXu8YeYZhUKhoFy5clIk5I9Cx44d2bVrF6tXr5YKDokEBQVhFp2bGxQUxPbt2wkLC2PcuHEEBATw/v173N3dCQsLY8GCBfz6669x+pCRSTVdFTAq+n9RYIOYAjsQU4ldFB1jp1OjsU6MtlSi7TUp/tVMaY+ObFNE/24U9kSvM0ErOlNKvY4WNLuOhX071dsowlFX0lZCuEm0qKmHWtQSxUYxddkTSVDsuR82tANTURSL7YMZBV7hMPgMlMkO8xpGFyYSiR34FDs1X/O5uCw2msdDM20/SON/zbaxt42NRns3X5jtAruaxdMOoDExafTiMdYDrCEqO4Qb6vDAsLKUfh4R7bL5mbxxigypHTxjCgyZEQggbacZ0alEF1MCMSSCbITwZ9f7zNlfHEv8iEIXK/wIxxBL/MgR8pVwQwPM3SLUgmY4Uro5waiFbjHyWCzGpCkAi9G3GoWapH01UbdT/KGel5SarnFco8Kh40449gQi54KeAQnbLojL4otsjk/cju2DGwa4A7tTd/nesWNHjhw5QtGiRfHz86NTp058+PCBU6dOATBgwAAtD8upU6dy5MgRunfvzsyZMxEEge7du1OmTBl69OhBiRIlUjWPtGBsbBwnKvHZs2eUKlUKPz8/Hjx4QP369X8o7+740NfX5/Pnz+TIkSPe9aVLl8bKyoopU6ZoeZo5Oztjb29PzZo1efHiBffu3aNgwYLx9iHi4eFB3rx5ady4MXZ2dqxfv56ZM2cybty4dN2nbw0xMnHEiBGsWrVKa11ISAjZsmVDoVBw7NgxfvnlFwDKli3L0KFDtVLZZWS+Z74nvSWrEI+Rnztk9CEKCADLIj9Ounq/fv2oU6cO/fv3T7c+ZZEzE4mKipLuoorI1ehkvlVOnDjBvn37WLJkCcePH8fLy4upU6cm2L5JkyZ069aNgQMHZsr8FAoFM2fOZM6cOZkyXmaTUJXM+LxILS0t8ff35++//6Z9+/YUKVKETZs20aRJk0ybr8xPwO8KGId2CjVoRy2KgqcYhSmKM+Gx2omiojlxRSBN/06Nv4IO6PSDV8ugaEHU4pPYRpcY8S06glPlAR0d4G9H1OKlIepIPl3URYEsUIuZ2TX6UkYvE1PGo2CmMzQtBvULE3/avYYgtecZON6Fv5pCNVEziC12xRY4NZd9ImHmZ9zlWpMmTejXrx+//vprnOuUhIgYrsBAM8U+mmerC0lCZxBmBGLGewpoVV1XJ5+rq6qLQqhhtOmpmJ6ejVAs8cUSP0LJxvyuT1i0vwBmBGJKIBEYYqn0w9wrIqaIkDXwDLXYLnrBWhBzXpkQk+KvmRIu+p2K+xNMjMgZLdzndADXGZDXOLoPC+LYNZx3g157wWMG2ud1fEKnZhp6PNYCWv+LFgrhqEX5VAqcAEeOHOG///5j1qxZyWrfu3dvJkyYEMfz+evXr+zevRtPT0+8vb3ZsGEDX79+zRTvyw8fPlC3bl18fHwIDFQL5fGlEP/oWFhY4O7unuAxNzY2JjQ0lLp163L9+nXevHkjpbi3atWKkydP8unTp2RXn/f29pYE1dmzZ+Pq6sqRI0fSZ2e+MT59+iR5xtasWZPz589rnV9+fn5YWVnx+fNn8uTJo3VN1rNnT3bt2pXpc5aRySi+J70lqxCP0df3mSNyZi/w44icISEhdOnShZw5c1KhQoU4thsjR45McZ+yJ2cmEt8Phx/hxJT5MWndujV169Zl3LhxODk50bFjx0TbOzs7ky9fPry9vZkyZUqmzPF79ti6ffs279+/p3Tp0hgaGvLbb79x7949smfPzrBhw5g+fXq828VXGOD+/fuMHTuW9u3bA+roDU2BU6zO/rP9AJRJZ3YI0FcB01ALPKLHoaZoI0YtilFxPsT18BTXaVZmh7hRbuJyC/Wfw3fAoQsULaGxrSiWis/dYeE/cPse6BuCrSVwNrqdKFyJaeWi8PmJmOjPr8RJsbfLC7c/RIucsecaK+KueznoVAoGnQJ9V1jXGvRieyr6oM2irLvX7OHhwfDhwylYsCDu7u50795dSn+tWbMm48aN07rZolKpWLVqFefOnUNH5xd0dHSYMGGC5LcIUFpzgCFx/dm2rIup0K1LFH5YSuJneHRKuymB0UWD1DJpEd6gRxQFeC+lsOd+5q8W/N4TU4jpFjHnoSh++xNzfoivL8RECYvZUaJNgnheQ8y5ogdzf4EHryFvKY22mue/ETQtA0ER8CkA8prH6lckPj9OcZnm+SQKnZret2kUOAE6dOiAk5NTstpGRETg7e0db1G77NmzM2LECOl5q1atGDZsGHv27EnT/JJD/vz5pUJ9+vr6REVFSd+nPxNmZma0b9+eK1euaC2/evUq9erVA6BRo0Y8efKEBQsWMHjwYE6fPk1QUBABAQEAyRY4Aa2I0dGjR1O4cOF0yVK7ffs2ffr0ITQ0lHv37mV5kaidO3dK3pqawrAm8+bNw9zcnEWLFmkt9/T01Kq+LiMjIyOTOHv27OHs2bMYGRlx6dIlLW9fhUIhi5w/IgEBAejq6srihEyWYGFhga6uLk2bNqVHjx5Jtn/w4AG5cuWiSZMmVK9ePUPnVqFChQztP725cOGClvBYrlw5pk2bxuHDh7Uiajw8PJgxYwYzZszAz88PCwsLrX6aN28ep+8iRYpgb29P/fr1GTt2LKdOncLPzw+VSpXlPxZkfjC2CuAeffFhTYwIpCnS6KIdIScWHxLTncU089gVxsV14raG2u06LwPVebQrh4sp5tE+hWGhcOMmHOuh0beYlgwxUaKaRV0gbkV0jWJJdnnh6FONfYwtcMbyFzXQg22t4MobsN8Ok2tC8/3fVtKMSqVi/PjxuLu7s3LlyjipqiqVin379tG0aVP27t2Lqakp06dP5+zZs4wZM4YTJ04A6rvvU6ZMkQSUdu3aaQ+0Lu5+9xP/iSWAHljXBkt8ATAjiAgMMCMQPZSEkA0DvDEOj8DkvUot9vkTE7UpipxilXgxelPTzsCCmPNVFNtFkdI8ep24TBmzbUQY/PsR/vkPTj0FYVl0H+LrL16eRZ9Du3+FfPM12mlmVScU3ZlQQSpNP9d0tJRr0qQJ7du3x9zcnGrVqtGiRYt4084dHR2T9d0P6uI13t7erFu3jiFDhqTfZJPA2dmZ5s2bM3bsWKZNm0bVqlWZOHEiq1atokqVKty9ezfT5pLZPHnyhMKFC2stc3JyYuDAgZw+fZrVq1czcOBAqlWrRq1atSQxtHz58qn60aiJpaUlPXv2pEGDBpiZmXHp0qVkbRcREUFUVBRGRkbcu3cPHR0dWrZsyc2bN3n48CEVKlRAqVSSK1cuqlSpwtatW9M0z9golUqt4lY+Pj6Eh4djbGzM/fv3efz4MSNGjGDChAksWbIkQc/TMWPGMGPGDJYvX661XDwPZWRkfk40i1lm5Bg/EtOmTWPOnDlMnjw53Wxm5HR1GRmZRAkNDSUwMBAbG5tktY+MjKRJkyZcvXo1wyp9i5Uu16xZw7BhwzJkjPSievXquLi4YGxszPHjx1EoFEydOpVs2bJhZ2eHu7s7Bw4ckNq/fv0aX19fatWqRWRkJKCuNqtSqXB1dU1Q3BVN1U1MTPDw8MDGxka6kH///j358+fP4D2V+WkYqICZ0f+LUW+it6GmH6emGBiGVJGaKMCUGP9D8a+IKFZpRIW+/AiL98GmiUiRnYA6ci8ctcilC9c/wcnXMF+s4RVfmrBIbJFSFD9jLwe67IEDXUhY4BT5U/szT6VSMWLECAIDA9m4ceM3UZl4z549bNmyhbFjx9KyZctE23p4eNCrVy9MTU0ZP348K1as4ODBg3HaRUVF4eDggIuLC127do236Eay0RA/P67LjpkyEN2oKH7rqeLwItSvtRsxBYW+ohYabVCfV6IFgqYFgWYBK4h5nXVjLRcLEokCehiM+Qd8wmBUfdjhAufcYEk7aF2KmHNG08cTMJwIPrPBxCC639jnoWZ0Z2I/VjTfX59IUbGh5ODn58fZs2e5fPkyXl5e0vJs2bJRo0YN9u7dS5cuXbQiNpNi/PjxPHr0iLVr11KsWLF0nW9ieHt707RpUx49ekS9evW4dOkSHh4e6VrI4Ftj6NChrFu3Lt51efPm5dOnT1hZWfHmzRvMzc2xsbHBy8uLWrVqcfPmzXSZQ4MGDdizZ0+8EaFigaMbN27Qp08fKleujJ+fH/fv36dEiRJ8+fKFIkWK0LdvXy3/SpVKxeHDh/n111/5+vUrlpaW6TJXgEqVKuHq6oq9vT3nzp2Ls37EiBGsXLkyRVXCFQqFNOdHjx5RunRpfv3113Sbs4xMViPrLUkjHiOvz5mTrm6T58dJV7e2tsbFxSVdrxlkkfM7JjIyEmdnZ2rWrJmuFwAyMmnF09OT3LlzZ7jIGRgYmKHFvBwdHQH1D4nUEBgYiLm5OU+fPuXdu3dMmjQJW1tbRo4cyaVLlxg/frzUduvWrXTp0oW1a9cyceJEgoODKVGiRLwFn+I7rvHNtUKFCjx69IjAwECUSiWWlpb07duXLVu2pGp/ZGQkBipgAWrxUkxJ10zd1RR9NIUmiPE/FAUl0ctTLFRkqLGdITx4Bt3mwe1tYCHqFe7R2zzQ6N8CvENhwinY2p24gmRskhKZNPany344IDp2iP2lIM3cxcWFyZMnM3z4cDp06JDs7dKT58+fM3bsWOzs7Jg9e3aq7pZ37tw5XpFTRKVSsWLFCs6dO0fTpk0ZM2ZM+tyVH6Kg61nY3wpoQEwleNF7Uzynske314x6DENdER3UAiig0gGXN1CjqEZb8TyKjjh2eQ077oLbVzg9ILpN9LnSby/ULwp9amtsq3G+l1gMxXLA6cFoiZ9aRbcSOv80I4NFkVP0it2aOZfsPj4+nDlzBnNzc5YvX87x48dTJNBPnjyZGzduxEmjzkgMDQ2JiIiQns+dO5cxY8bEyYS6du0a9erVo1atWty4cSPT5pdeCIKAjo4OwcHBSWZ5WVhY0K1bN6ytrVmwYAGdO3dm7969lCpVilevXqV5LiqViooVK+Lq6hrv+7xZs2a8fv2ajx8/8uHDBy5evMjjx4+ZMWMGDx48wMDAIF4rBIArV67w+++/S7YE6cGDBw+oXLkyenp6REWp32jr1q1j8ODBKRI1Y+Pg4MCff/5Jv379pArrMjI/Ej+z3pJcxGP0yUuBuXnqP0+SN5ZAXhvhh3k9xowZQ86cOROt/ZFSZJHzO6Vv377kzp2bU6dOMXToUAYNGgQkXKxERiazUSgUPHz4MMEL2LRibW3N0KFDmTdvXob0D9rRkSll4cKFWh/WlStXpnLlyoSHh3Pp0iXevn3Lo0ePqFSpktRm9OjRrFixgnfv3lGgQAGt/jZs2MAff/whPY/90R3fXAcOHMiff/4ZJ+Xdx8eHvn37smrVqni9pmRkkmSgAmGxumI5n9AWbcTiQ5qCJ6jFSwviCjxiOq8oeiqJETqBFiPh8ArIJtqc3Ynu0y36uYl2v122wYHuKdiXxMSm6LnZ74Jzb9J2uaRSqZgwYQKfP39m9+7daeorJURERDBs2DCCgoJYt25dmm6KDhw4kFmzZiUrMnz79u3s3buXOnXqMHXq1DRfmxQrVgw7Ozv1k/sHtFeaon79dAAV6nNIFfNQATribw49+OgHrh+hVSlAAQjqv1ECLGwFpbJDMydY3Q5KWRNvQaBBh6BSfhhagxiBPjpCVDEV2peFI72it9MuMh9DbMsGzRsFYgR0OJkqcMbm3r17rFmzJkU3x/r06cP48eMz7Ps/PpycnHj79i1z585NtJ0oZu3Zs4du3bplxtTSneQIcvr6+jg4ODB58mS6dOnCgQMHyJcvH58+faJp06bxRjGmlLCwMBo1aoQgCAQHB/Pw4UOt9Y0aNWL16tV4eXkxcOBAXFxcUmShY25uTqdOnbRS1gMDAzl06BB9+vRJVh+Ojo507dqVpk2b4urqCqiPn56eHidOnMDe3j7Z80mMkSNHsmPHDvz8/Ojbt2+6p9nLyGQlP6vekhJkkTP1iJ+fFStWxNbWNk7hob/++ivFff5gGf0/B/7+/hQtWpQpU6bQqlUrLcP/I0eOcPfuXRYsWJCFM5T5WalTpw7Xr18HoGHDhri6umbYj5y//vqLvn37oqOjw6RJkzLEtzZ2n0+fPmXkyJF4eHhw5swZWrVqxYQJE+jZs2ecbT99+sTo0aMBtddI9uzZGThwoFRxU19fH0EQaNCgAZcvX+b169cUKVIEBwcHihYtire3N6VKlWLixInMnz+f69evM3jwYFq1asWpU6dQKBR4enpKNgLx7f+mTZu0nnt5eWFjY0OZMmUICwujcOHCUkSsjEyK2CSgGKKAqai9OQOIESw1hRsx9dww1vaaVx9GxFSrjlW8KEIF+nqQzRfwBR6hFn2+EiNsmhMjqkahFqw0086TQtOjE2IqsGtUM7d80SWZnSWMjo4Oy5Yt48iRIzRv3pyFCxdSpUqVNPebGJs3b2bfvn3MmjWLOnXqpLk/KysrvLy8kiVy9u7dm969e7Nv3z5at25NtWrVUh1BCmBnZ8f+/fvjXzlC4wdFJbSL9Wiea5qV1SEmsjL6/AwIgwF71adQ27JQKmes9hrnVdsS0HlftMgpRi5HU8wammhmXSm1t9U63+IrRCTONQr1TYQsxM3NLUXf425ubhgaGmaqwAkwYMAA9uzZg0Kh4NmzZ5QqVSrR9hs2bPiuRM7AwECuXLnClStXKF68OC9fvtRar6OjQ69evXj27Bnu7u6sXr1aSpk+ePAgzs7O1KtXjy1btpAtW7Z0mZORkZGU9t6xY0emTZvGmDFj6NWrF5GRkaxfv57Bgwdz6dIlBgwYQPbs2Tl//ryWP3liBAQEYG9vT/bs2bGzsyN79uzs3bsXUAd7fPz4kXz58hEcHCztU2RkJKGhoZQtW5aPHz+ip6cn2RqNHTuWpUuXsnDhQqpWrZpuAifAn3/+yYwZMwBkgVNG5idGqaeHUi9jRU6lngBEZugYmcnDhw+pXLkyAI8ePdJal9ooezmS8wejdu3a3Lx5k02bNtG+fXsMDAzk4yKTaUydOhVfX1/WrVuHIAgYGhoSHh6epjSgxNDV1aVmzZqcPXs23UVOlUpFlSpVaN++PTo6Oqxfv55y5crRvXt3+vfvr9VWFCiTIiQkBBMTE4YNG4abmxsKhYKdO3dKJvuaODo6Ur16dT5//oyDgwN37tyRojdVKpWWcf7169epXbs2CSEIAr6+vlSqVIk3b95IIkN4eDhfvnxh/PjxbN68WS5wJpNyRkT7c0Z7YkrCkmb6rhFxhRzNyDjNquv+0e2jozofPID2C6B6USCUmOg8fdRRezqoFSklUjTexwC4npTDhKYIK1Y7TyT9XIyESi9CQkIYMmQIurq6rF+/HgMDg6Q3SgFubm6MHj2a2rVrp2sRjAsXLuDk5JSqSNSjR4+yYcMG7OzsmDNnTorFzq5duyYscsZGU/QsQcz5phlxGYz6XIvtwxrbZ1XcLh5PV8VU8J4J2UVhPvo8//sBdNgPwky009NjF+CKnboeO4pTFDmzKIoToFOnTuzZsydZ5+i///7LiBEjuHDhQpZ9nzg4OHD58mWcnZ3jrIuKiqJQoUJ8+vSJRo0aceHChSyYYcr5+PEjw4cPp23btvTu3RtPT08uXryIv78/lSpVolatWolur1AoKFGiBC9fvuT27dtUq1Yt3efo4+ND586dCQgIQBAEXr16xYwZMzhx4oR0nI2MjPDw8EhxNHnsa8gXL14wb948duzYIS1TKpWMHz9eqxDQsWPHyJcvn3QNlFxxVUZGRhtZb0ka8Ri999HPlEjOAtaR8uuRCBkayblw4UIOHz7Ms2fPMDY2pnbt2ixevFjr7mpYWBjjxo1j7969hIeH07x5cxwdHX9oo/CM5PLly5LRuL29Pf/++y8dOnRgwIABtGrVKqunJ/ODM23aNLZv3w6oLziLFCmSYQInwNmzZ3n48GG6/5havnw5N27coECBAkyfPh09PT1mzpwpre/XT6oPTNWqVfH29k6WyJktW7Zk+5QOHTqUhg0bcvnyZWnZmzdvKFy4MDo6OgiCQGRkJDY2NmzatIk6depgZWWFj49PnL6sra3x8/OjZs2aWsKCoaEhVlZWyZqPjExChJuAoTlq0ciEGKFTfFuKkXKiuCRGSoqFY0R/Tgu0vTyDYc4WePsV3EeCQolalIr9dg+L9VxTQIqPTxrrkumraWVlxbt37+JUIU8t2bJlY/v27dy8eZOOHTty/PjxdOk3KiqKUaNG8eXLF3bt2pXuft2NGzfmzJkzODk5MWDAgKQ30KBdu3a0a9eOo0eP0rp1a6pUqcLcuXMzxmJndazXdXT091AZYqKKRRcPTYFRU8iMr2iVpkgaTQ4HEBZorI+ClsWhatw6LNr9aUY8xxZRxf+zWOBUqVQolcpkCZyvXr1i+vTp3Lp1K0O/95Ni5syZ7N27l6ZNm3Lq1Ckpa2L+/PnMmDGD6dOn8+XLF06fPp1lc0wpFy9eZMiQITRr1gyAPHnyJLvqPaijQM3MzLhw4QIVK1bMkDlaW1tz4cIF7OzsOHHiBEePHsXFxUUrordr167MmDGD1atXS9GmY8eOTTAyPPZ5tGzZMsaOHQtAz549cXBwoE2bNpw7d0668futxO4EBATI4oOMzE+IUlcXpW4GR3LqqiM5q1Wrhq6uLsOGDfvmC/FmNhlq3nj58mWGDRvGrVu3OHfuHJGRkTRr1kzyjgO10eixY8c4cOCAJNB17NgxkV5lEkNfX59ChQphbm7OxYsXMTMzw8PDg9atWzNkyJCsnp7MD46JiYlU+GbZsmUZXkm4SZMmnDlzJt37HTt2LPv27ePYsWPo6SV8L+jhw4dYW1tLIfbpzaVLl6hZs6b0vEiRIlSvXp1mzZrRsmVLlEolvr6+bN26lR49euDr64tCoUBXV5f79+9L2924cYN///2Xa9euxRnDxMSEvXv3ylGcMqkjWkwSLIgRKUEtJJloLBNTzD8BD4GTwG3UQqdYKds9er1P9PMwsDCE7hVBZxaE6Ef3K3plig+IEYwSKuLyLvoxVlBXQF8kpKhwUNmyZXFxcUl2++RSq1Ytvn79ysSJE6VCGKnl1atX2Nvb07FjR/bv359hBQl//fVXjh07lurt27Vrx6lTp6hevTqtW7dm9uzZqFSqdJxhPKwQ1I/BAjxFfc65EVfUjO/8CUc70lMjYnlbV+hYljhRnoZGUDUfKBxi9Q/aNgpRsR7ies1I6Cxk3759NGzYMNE2np6euLq6Urx4cfT09LJU4BTp1q0bCxcupEWLFigUClq2bEmBAgUQBIG5c+eyfv16AgICpIJ93zoODg60bNky1dubmprSvHlzZs+ezd27dzPs/WZvb49CoSB37twMHjwYJycnVq1aJa3fsWMH3t7elC9fnmrVqpEzZ06qVKki2RxpElusnDt3riRwgrqokampKTo6OixduhQAW1vbdNuXtBRmEgRBrq6eCEplcr1kZGRkEsPFxYUnT578MAKno6MjDg4OSTdMBpmarv7lyxdsbGy4fPky9evXx9/fn5w5c7J79246d+4MwLNnzyhTpgw3b97U+nGfEHL4dOIIgkCNGjVYtGgRRYsWJUeOHBlajVpGRiR//vz079+fOXPmZOg4t27dYu7cuZw4cSLd+rSzs+Pu3buJtvHw8KBGjRq8e/eOR48eUa5cuXQbPzZ+fn7kypWLCRMm0LlzZ4yMjChTpozkdwUxhYeMjY0JCAjAysqKcePG4eDgkG7+WzIyCSH4KFAEE5NuLkbL+aMWLt1QizefiPHtNERdMEZTzEmgQMvAg2CsD6vaxbMyPiEoCrVQCmpRM41cuXKFCxcuMHv27DT3FR9Lly7lwYMHdOjQgY4dO6Y4uvHKlSs4ODhw+PDhTLkWcnR05M2bNyxZsiTNfR08eBAnJycaN27M+PHjE9z3FKWrp4TJ0aJcAeKmrcf+LR7L6/X+J1h8Cfb20NhOA9O5YF8UlreBwtYafYjEjhYV+w5Dff6uy9qotKRS1QVBoEyZMjx//hxjY2PMzMzw9PTM5Fmmjvr163Pq1Knv4gafQqHg/fv3yfLCTQhfX1/mz5/PsmXLgPSLeHRzc6N169a8fPkSExMT3NzcyJ07d5LbiYVSFQoFdevW5erVq1rrDx06xPjx47l58yampqYJ/nbx9vYmZ86c9O/fnzt37vDgwYP02K00IQgCzZo1Y8+ePeTIkSOrp/PN8fXrV6ytrb+JGyIyyUPWW5JGPEav/U0wy+B09cAAgaIWwT/c69GkSRPc3d15/fp1mvvK1DLc/v7+AFJlvbt37xIZGUnTpk2lNqVLl6ZgwYKSkXVswsPDCQgI0HrIJIxCoeDff/+lcePGzJ07l1GjRuHo6EhERERWT03mB6dRo0aMHz8+w8epWbMmU6dOTde75sWKFUuyzZQpU3BxceHDhw8ZKnACWFpaEh4ezrx58yhWrBhlypRh/vz52Nvbc+LECebMmUPLli358uULXbt2pUaNGgwbNozt27fz8eNHqZ81a9ZgZmYmRa/4+/vj4eGBt7c34eHhCQ0vI5MkCgfACIS8xES6PQDORv91A8RrFhMgO2qBUxe12Knp0anU+B9AD1Z0gEvuMc8lr08jtCPwvKIfE6MjNtNB4AS1LcWLFy/Spa/4mDBhAm3btsXZ2Zm6desyZ84cPDw8krXt9u3bWbVqFadPn860i10vL690S3vt3Lkzp0+fJmfOnLRs2VL6fIqKimLkyJGMGDGCESNGEBISki7jxUGM6n1P3CI/uhoPiCN6+geDiQFxPTWjCZoCVsZQaz0cfkRcET92FGc8fWQV165dIyIiItFU9f379zN16lQEQWDMmDG4u7sn2PZbws/PjyJFinzzAqerqysKhYI///wzTQInqC03NG13FApFmjO8RowYQf/+/cmfPz/v3r1jxYoVUkp9Uog3M16/fs2HDx+kG+KCILBu3Tr27dvH6NGjyZ07N6ampnEKLYH65u6WLVswNDTkwIEDuLq6MmfOHEJDQ9O0X2lFoVCwdOnSdPda/lHInj07jx8/JigoKKunIiMj8w3h7OycLgInZGIkp0qlom3btvj5+Ukpk7t376Zv375xflxXr16dRo0asXjx4jj9zJ49O97IsB9NyU5vlEolbdu25fjx4zx//pwpU6Zw5MiRrJ6WzA+Mp6cnv/32G6dOndIqkpNRzJ8/n0qVKtG6des09bNlyxZ8fHwSFWgvX75Mw4YNCQkJwdjYOE3jxYcgCPTq1UuqxK7J1atXmTFjBi9evGDYsGFUqFABExMTvLy8ePLkCfPmzeO3337TMuSPjIyULrZz5coVJ9LGwMAAGxsbqlatStOmTWnWrBklSpRI9/2S+cF5pFCLjrdQC0ZfiYlOEyugW6NdaTp2FXSxKEssDCeoK60Ly6IXaLYRix7Nz9jLmdq1a3Pjxo0MHQPURYmuX7/OyJEjcXV1TfSH8vz58/n48WOmp9126tSJQ4cOZUjfa9as4dixY3To0IFTp07x119/AerPrkzNRJkWHYlhobEsVqRnkBLM5oPgQPy+mnogCOAVBrarYFhNmBlbA4r9PsjCKE5nZ2ecnJwIDQ2lVKlSTJo0SQpMiI8GDRpw6tSp7y5b4MiRI6xdu5bz589n9VTi5caNG5w9e5aPHz+SN2/edM2IuX//Pp07d5Z+SHp7e5M9e/ZkbatSqahatSoKhQKlUsn79+/5+vWrtP7kyZPSbzsLCwuqVq2aaH+9evXCx8eHR48e8fLlSwwMDLh06RIbN25k586diUa0v3r1iuLFi2NmZkZgYCBfv37l6dOn9O/fnxMnTiTrZnVGIggCERERGBoaJt34J0SlUuHi4kKNGjWyeioyyUCO5Ewa8Ri98DfPlEjOkhYB8uuRCJnm9jNs2DAePXoUrydcSpgyZYqWJ0tAQAAFChRI6/R+eHR1dcmdOzcKhUK6G/zy5UuKFy+exTOT+VHJlSsXY8eORU9PL8PEQE2GDx9Ohw4d0ixynj9/PsnKwffu3QPUZv7psV+1atWiQ4cOTJw4EVBHAYgFnGJTr149Ll26lGBfc+fOjbNMX1+foKAgHj58SK1atRAEAX9/fywtLbVS1oKCgrh79y79+/dnwIAB6Orq0rNnz7TtnMzPwzYgL2pxU7x3qUeMN6fmFYemsCn6bGoWYQGtYi8RsS3koqLHyWBhU5N8+fJlyjjZsmXD3t6e8uXL4+7urlWsMSQkhDNnznDu3Dnev39PtWrVssRXMEOKBUUzfPhwhg4dyqxZs4DkRdZnCOK5FZ/YGX2O6gP6OrGWxzqXFVGQywwO94D6TmBpDCNrR6+PHSEq2ixkosB54cIFNm3aREhICNmzZ2ft2rWJCpua5MuXL8O/2zOCli1bMmrUqKyeRhzCwsJYtGgRNWrUYNasWRmSzlu5cmVevXol9Z0jR45kp65PnjwZS0tL9u/fj6mpaRzf9fr16zN8+HC8vLy4fPlyohkiu3bt4tq1ayxcuJDq1atLN3PWrVvH4sWLE/2MmTFjBosWLZJEYJHnz5/z/PlzChcunKz9yQhev37N7t27sbCwYODAgVk2j28dHR2dDM+C+h5QKpV4eXmRJ0+erJ6KjEyW8c8//8S7XKFQYGRkRPHixZNV4FeTTBE5hw8fzvHjx7ly5YpWukXu3LmJiIjAz89PyyDf09MzQT8XQ0ND+a5YKsmXLx+bNm3Cz8+PpUuXygKnTIbTokULduzYIUV5BAcHZ1jEh3iHsUGDBpw8eTLFaWgBAQGULl2aqVOnJtouODiYevXqAZAzZ85Uz1eTRo0aUbp0aa1liRU8Sg0qlYpz585Jz8UiJ2FhYdIPFVNTUxo0aEC3bt3o3bs3oBZcOnTokK5zkflB+VOAuQptsdKIGCFH03NQM2IzvoIv4vLoiLnTA+HsC9Qen3O+jeq5GY27uztXr15l0aJFuLm5YWxsTI4cOahatSrjxo3L8kiljERHR4dx48YxevTorJ6KtpA+TaG2WQDQA0M9iFQR40GrVC+Pz3ezRE6olFvt45lgSnrs1PUMICQkhCNHjvD3338TERFBuXLlWLduXYoLVYWHh6NQKHjw4EGGFd/LKIyMjHj//j3Pnj2L892bVQQHB2NqasrDhw+1KpJnFK1ateLkyZMp2ubff/+lbdu2CfpMmpqaShGiNWrUwMfHJ0HBPEeOHJibm3Pjxg26d+8OqK/D7t+/n+S5uGbNGiIjI+Ms79+/f5ZXV1+7di3NmjUjT548WtdXMnGRa0SoI34fPnwoi5w/EEp0UWawI6SSDC7WmMm0b98ehUIR5/NbXCZ6N//9999YWVklq88MfQUEQWD48OEcOXKECxcuxFFg7ezs0NfXx9nZWVr2/Plz3r17R61atTJyaj8lI0eOJEeOHEyYMEEWOGUSpWjRolqCWFr47bffEASBJ0+e0LlzZ44ePZou/cbH3bt3uXLlCs2aNcPBwYEvX74k2DYkJIRLly6xZ88eFAoFFhYWVK5cmeHDhyc6hqmpKa1bt2bevHlcuHAhXea9YMEC2rZtmy59aaJSqaSCRGPHjmXmzJnMnj2b3Llzc/HiRYB4L8CHDh2KUqnkn3/+4cuXL7Rq1SrFnp2Ojo7S2DI/EWGohU1T4kZuxhY4ExI3QVvs8YfmeUCn2niE2T/WhV1inDx5EqVSycKFC+nQoQMjRoxgz549WS5wenh4YGFhkXTDH5H5AkwR1GK72maepsWhriM4P4cPgeD4LziKxaJjec6WyAF3RZvk+Cq5fwI2pU2kiYqKwsXFha1btzJlyhR69uxJly5d6Ny5M126dGHAgAE8ffoUXV1djh49yoIFC1IkcG7YsIHRo0fz119/YWdnR8GCBdM036zk06fYJqxZx9SpUxkwYECmCJygFlXF32XJ9Rv++vVrsm88hIaGJppG2bx5c/777z8KFixItWrVaNasmXQtltT5WL9+/TjLjh07lqViuyAIvH//HhMTE3R1dRkzZgxmZmZZNp/vgYiICKkQ1s+Knp5esn1sZWR+VM6dO0e1atU4d+4c/v7++Pv7c+7cOWrUqCEFSn79+jVFtT4yNJJz2LBh7N69m6NHj2JmZiaZ6FtYWGBsbIyFhQX9+/dn7NixWFtbY25uzogRI6hVq1ayKqvLpIwcOXLIEVkyyeLly5fpniZVpkwZTp48SfPmzSldurRWCmZ6EhkZSWRkJO7u7vTr14+WLVsydOhQgoOD6dq1qxS50Lx5c0aMGEGPHj0wMjKiSZMm/O9//0u072rVqgHqohsKhYJjx47RpEmTDNmP2Pj5+UleWAULFsTa2pqiRYvG610MaoFT0wu1W7duAJw6dYoCBQpw5MgR7OzsAPjy5Qvz589n+PDhuLq6cuDAARQKBXp6etSpUwd/f38ePXoktf/jjz8Adbr+/v370dHRYe3atRQuXJiOHTsSGBiIjY2NFA0q8xMxX1BHu8XnYyiejrHT0dFYrrlMtHqLjqSrfeQIN27coE6dOuk44eSjUCikisCZgY2NDYMHDwbU7+f0ju5OLe7u7uTKlSurp5G1LIoRIs99VXAnHP44Al0qgoEeoEI7ghl1gaISOSBcCZ32waGe2uvTGsEZFhbGlClTePHiBba2tpQsWZJOnTpRtmzZeDMo2rdvT1BQUIqjqYYMGYJK9f3fbChXrtw3ky67cuVKsmfPzsqVKzNtzBMnTnDu3Dm2b99Oq1at4i3so4mRkVGyPwOvXLlCVFRUvJ9Zhw4d4n//+x/t2rWjXbt2TJgwgQkTJmBlZYWxsTGjRo1iyZIlkn1PfFSpUoXp06fz+++/ExgYSI0aNejVqxcHDx5M3s5nAFZWVlSrVo1ChQqxfPly9uzZQ4ECBXj58uV351mbWRgYGDBu3LisnoaMTLqSOZGcGev5mdmMGjWKjRs3Urt2bWlZkyZNMDIyYtCgQTx+/JgVK1bQr1+/ZPeZoVfM69atA6Bhw4Zay7du3UqfPn0AWL58OTo6OnTq1Inw8HCaN2+eJf5SMjIyMWTkj/iDBw/SunVrzMzMKFiwIMOHD6dAgQLpZpysp6eHnp4eZcuW5dixY4wYMYJhw4bx5s0bPn/+TEREBG/fvpWimZOT2vThwwfOnTtHpUqVuHPnDkCm+3l9+vQJY2NjBg4cyMiRIxEEAScnJ+mm0PLly+Ns8/nzZykFZu/evfTq1Yu7d+9ibm5Oz549Jf9SGxsb5syZQ4kSJZg2bRp79uxBEAS+fPlCo0aNqFChAnZ2dvz111+MHTuW8+fPc/r0aQwNDalRowZ6enqS95SZmRndunXDyclJsgxwdXWlUqVKWZ5GJpOFaKbvanhtaiEuT8Br087OjosXL2aZyJkrVy7c3Nwy7AZNYojpOt8CXl5eyS5U8lPwp0BVYORLBb1PQoXccHMk2mJ+tNCfxwLm2oNiKoRHqdPdMYxe/45UR3H+888/rFmzhqlTp8a55k6IadOmMXHixBRdczs6OrJ169ZUzfFbw8TEhNy5c2fp99Lr16+ZPXs21atX16p8nhmYmJjQvn17qlWrlqzK7UePHmX48OHJutlSu3ZtdHV1iYqKYsCAAbx48YLNmzdjYmLC9OnTOXPmDJs2baJ79+6cOXMGACcnJ/T19blx4wZv3rwhR44ceHt7x9v/rFmzePr0KbNmzWLv3r0AbNu2Lfk7n85ERUVhamoqZUDt2rWLwYMHY2dnR0hIiCxyJsLs2bOZPXt2Vk9DRkYmC3n16lW8OoC5ublkgVKiRIkEvxPiI9Oqq2cUcrUvGZnvl5cvX7Jnzx6WLl1K1apVcXZ2ztIf8rt27eLgwYPo6+ujo6ODUqlEoVBw584dcubMyeXLl7GwsCAiIiLLfhhNmDCB4OBg6SZSvXr1eP78eZyK6SKRkZEEBwfHm/5VvHhx7OzsaNOmDb169Upy7MDAQMzMzOjQoQN///03HTp04MiRI0ybNo25c+eiUChYs2YNjo6OPHnyRNrO09OTTp06SYXnQkJCePToEdWrV0/FEZD5LpilUBccSojYv5NjRW3Gx5MnTzh//jwjR45M6+xSxerVq8mVKxddu3bN9LGXLFlChQoVaNmyZaaPHZvNmzejp6eX4ZHafn5+jB49OkvFi5QyZ84cNm3ahFv7jxgX1VghFiOKFjwPP4Lu++DjZMhhQpoqqru7u/PHH39w6tSpFN+g/OWXXzh8+LBU9CU+Ro4ciaGhIU+ePMHW1paFCxemeI7fIr6+vlhbW2fZd/njx4/p2bMnLi4u6OvrZ8kcQJ0y3LFjR44dO5bk9ZetrS137txJ9HwB6NGjB4ULF2b58uXMmjWLPn36UK9ePQoUKMDs2bOldPOZM2eiq6srFRm7d+8ew4cP58aNGwwdOpTp06drFRaKj8ePHwNkaVTuggULeP/+vXRdJtKjR48kC1n+7IjXlTLfNrLekjTiMXrknwMz84yN5AwMUFHewvuHeT3q1q2LmZkZO3bskOpdfPnyhd9//53g4GCuXLnC+fPnGTZsGM+fP09Wn5mTcyUjIyMTD8WLF2fGjBkEBAQwduxYcuTIkW5eoKnh4sWLrFu3jv3797N3714OHDjA/v37qVq1Krdv3+bBgwdEREQA6h+zWcHSpUtxdHTEzc2NoKAgrly5kqDACerK6gn5W7m4uKCjo5MsgROQLkSPHDmCIAgcPnwYQRCYN2+e9OOoatWqcaJKc+XKxfHjx7l58yagFl7FKFKZH5Q5grbvZuyHyFdiIjeTqJT++PFjqlSpkjHzTQaVK1fm4cOHWTK2UqnMtDT5pPj69Wu6FV37EVCpVEyaNAlLS0suX77M1atXmZVtAowV1NGZoH3O60LH8vB+EtReD35+gA845JlDvXr12LBhA9OmTWPIkCH07duXvn37cu7cuQRTxAcMGMCBAwdSdX6MGDGCGTNmJLj+0qVLvHjxgsqVK/P58+cUpYp961hZWWVJsQ+VSsWCBQsYMmQIZ86cyVKBE9Qpww8fPpQiKuNDLFS4YcMGatSoIT1PCDc3NxwdHVmyZAmTJ08md+7cuLm5ceHCBS0/TQcHB6KioqTzqkqVKlSrVo0RI0YwfPhw9u/fn+T8vwXbgfPnz0sFKTWJjIzE19c3C2b0/fDy5Us5y0fmh0Kdrp7xjx+JzZs34+7uTv78+SlevDjFixcnf/78vHnzBicnJwCCgoKYPn16svv8NgyeZGRkfnp++eUXvn79Ss+ePdmxYwctW7aka9eumeZDV6xYMXR1dROsBArqUHlDQ0PCw8PZv3+/FH2QFaRH8TArKyv27NmTDrOJISE/ZYVCQe3atREEgTt37uDt7U1wcLCU0i7zfSEIAv379ydfvnzMnTs3/kb+QOysZjGiLRmRm7E5ceJElqbKVqpUifXr12fJ2N9KqjqoI+BkkVPNxo0b2b59OyVLlsTHx0cSGpXK6Pz0FdHn92gFFETLdzY4BOY2hvzLIShCYE+ZMvz1119cunSJwoUL069fP0xMTNDR0WHFihVs2rQJUL/3vLy8mDp1Knfu3KFt27apjuRo1KgRgwcP1vJ2DggI4P379xQuXJiJEycyYMAAevToQY8ePVI1xrfM58+f+fDhQ7LStdODN2/e0LdvXxYuXMjUqVMzZczk8O7dO4KCguJd16xZM86dO0dYWBi1atVi2rRpmJmZERgYmOD1mYuLS7LHnjt3Lm3atJGer1y5kkWLFmFvb8/OnTtZsGAB3bt3j1O8Nrlkho/ywoUL+ffff+Msb968eZZGC38P/PT+zjIyMpQqVYonT55w9uxZqRBeqVKlsLe3lz6/27dvn6I+v42wgO+c48ePZ/UUZGR+GHbt2sWOHTsoUKAAw4YNw9ramq9fvya9YRoRq80mVl09IiKC8PBwDAwMOHLkSIbP6UfCwsICQRB4+vQpXl5e2NjYZPWUZNKIq6sr8+bNA4gTZda3b1+CJgTGLBCrpfujFjjnCOpHMhH9ZUWxT6VSERAQkLYdSCGmpqaEh4dn6pgip06dyvJoJRFXV1cKFSqU1dP4Jli9ejWzZ89m69atWkJK4cKFtVOqVggxkZ16UH8jFF0BE09DcCTcvHkTQRCws7Nj8eLFDBkyhGLFipE7d25sbGxYsGAB+/fvZ//+/Rw4cICLFy+ya9cuBEFIkz+0vr4+pUqVYuvWrTg5OVGvXj1GjBjBgwcPKF68OBUqVGDQoEGpP0DfOGXKlEmy4GB6UqRIEerWrftNFVcVxc3OnTtrLf/f//5HgQIFpOwasQha586dKVeuHCVLlky3Ofj7+2s9nzx5MmXKlMHNzY0aNWpw69atVPc9fPhwHj9+nKFCo6urK02bNo2zvFevXllib/I9IRa0kpH5UZAjOVPOhw8f0NHRoUWLFowcOZKRI0fSvHlzdHR0Uv35L4uc6YBswC8jk74oFAopbe/8+fOsWbOG0aNHU7duXV69epXsfm7fvh3n4jkhDAwMePr0Kbdu3YpTMV2MysmbNy/m5ubcu3dP6wLf09OTqVOn0qFDh5gIHpl4sbCwoEiRIrx8+ZJZs2bJEQ7fKQqFgrt37xIeHk5wcHCcGwSfP39WpzR+RS1uimnpKRQ3Rfbs2cO5c+fIkycPFSpUoGrVqhQqVIgSJUpgbW3N9evX02vXEsXb2zvTxVVQR7tkVrRZYgwZMoT27dvLNylQX5TnzJkTe3v7OOvat2/P1KlTUalU+Pv706FDB/WKaLHzREsoZA7vAqFx48bUrl0bf3//RDMJNNHR0WHHjh0pSt2Kjy1btpA/f34OHTpEyZIlcXZ2Zvv27fTs2ZPPnz+zefPmNPX/rdO/f/8Mj6gMCAhg1apVPHr0CIAGDRpk6HgpZdu2bXTo0IG1a9dqLRcEgQ8fPuDg4EBwcDDbt2+XoimdnJwICQlJt89dsWq7Jn/++SeDBw8mODiY27dvo1Ao+O+//1LUr1KpZMWKFZQqVYrPnz+ny1w1EQSB48eP4+zsTJkyZeKsd3BwYMmSJek+7o+CIAhERkZm9TRkZGSymGbNmuHj4xNn+fXr12nRokWq+pTT1dOBWrVqZfUUZGR+WKpUqSL58IWFhTFkyBCMjY0ZMmQIFSpUSHC7SpUq4erqKj3Pli0bwcHB8bZ1cXHh+fPnmJubs2DBAq3UKQBdXV3Gjx9Pjhw5+PLli9a6bdu20bdvX/r06cPSpUvR1f2x7q6lN3nz5iVv3rzSnftnz57J0fDfMQYGBhgYGMQRq+vUqRNdNCZ9ROzVq1czZMgQJk6cGCf9MCwsjNy5c1OpUiUmTZqUocV5Vq5cyaBBg6SKvpmBSqVK0gMvMxg3bhylSpX6oSP7UkJkZCQWFhbxritQoACWlpbMmzePrVu34u/vr2XPYeYo8GhJEAOrmPEyIICSJUvi6uqaafYsAPPmzaNGjRr0798/08b81hg1ahTjx4/P0DFq1qyJoaEhwcHBBAcHf3OVtj98+MCzZ884cuQIw4cP59mzZ9y6dYsTJ05w5swZmjVrBsD8+fMli55KlSrh5+fH4MGDJfE2LYwbN44uXbqwa9cujIyMpDEOHz7MiBEj6NatG7Nnz6ZixYqUKlWKZ8+eJatfHx8ffH19CQgIoGrVqmmeZ2xOnTpFmzZtsLe35+XLl5KNkFKpZPHixSxcuJAFCxak+7g/ChEREVy7do2OHTvK0ZwyPwxKdInK4DhCJT/W+6VmzZo0a9aMixcvSvUfrly5Qps2bZg9e3aq+pQjOWVkZL4bjIyM2Lp1K2vWrOH48eOMHj1aql4ZGRmJu7s73bt3x8TEhB49eiAIAoIgcOvWLUJCQlAoFDg7O0vFg0BdmXbSpEm8fv0aNzc3nj59iqOjo9a4J06c4OjRo3h7e3PlyhUUCgUKhYJ+/fpx+/ZtVq9ejYWFBSVKlEChUNC3b1+pTWrv4ru7u0v/+/j4pDiC4VunatWqUlENmR+PfPnyUalSpXTrr3379pIYEdtfzcjIiBcvXjB8+PBE7SbSg8ePH1O3bt0MHSM2Bw4cSNdjmRqmTZuGlZUVo0ePzvCxwsLCcHNz48aNG9+EuJsQCxcuTNiPFggODmbTpk28efMGAwMDqlSpomV3YGpqyqZ7gbRv356CBQtK4k5mcfPmzXijUH8m9PT0aNasWYo8JJPDx48fGTduHA0aNOD333/n/v37TJky5ZsTOAFy5szJ06dPpeelS5fmzZs37N+/XxI4QS1Eat5YzpYtG1euXEmXObRt25bmzZtTuHBhQkJCpOUdOnTg6tWrLF26lClTphAQEIC+vj6nT59OtD/xfZYzZ05KliyptX/pSVRUFPXr16dZs2ZanqEjR46kSJEivH//PkPG/VEwNDSkU6dOmWJJJSMj8+3i5OREwYIFadOmDeHh4Vy8eJHWrVvj4ODAmDFjUtWnQvjOcwUDAgKwsLDA398/1cbrMjIy3zcnTpzA0dERHx8fdu7cSbFixeJt99dffzFu3Di2bt1Knz59AHXBo23btpEjR45Ex3j//j1NmjRBT0+Pq1ev4u/vj4+PD8+fP6dq1apYW1vHKcZx+/ZtAgMDsbe358OHD+TLly9d9vdHQaFQ8OrVK4oWLZrVU5H5hvn8+TNLly7lr7/+SrLt77//ztu3b7l8+bK0rFevXjx58oQbN27w8OFD3r59S4sWLfj8+TM1a9akbt265MyZM97q1aKgKkaZ3Lhxg8uXLyf5eZFe7N+/n3Xr1nHs2DFMTU0zZczY7NixA1dXV5YtW5YpY23YsIEKFSqQM2dOateunaGRuWmhXbt2HD16NMH1Y8eOxcnJicBAtTetlZUVY8aMkaqZOzo6UqNGDRo0aECePHlwc3PLlHmHh4ezaNEi7t69yz///JMpY37L+Pv7Y2lpSVBQULoVwmvbti179+5l3rx5zJs3L8ML36QVQRA4ePAgBgYGbNu2LUHP8ZIlS/L8+XMEQeCXX37h5MmT6TqPJUuW4OnpqfVZ4+3tTalSpTh9+jTVqlXj4MGDdOnSha9fv2JpaRnvsQ0MDJSigTKSsLAwChYsiJeXl7RMEATKly/P48ePM3x8GZnMQtZbkkY8Rrf8i2BqnrGf+UEBKmpauP9Qr0dERAStW7cmJCSE//77j4ULF6YpcEFOV5eRkfnuad26Na1bt06y3fDhw6lQoQLNmjXj0KFD/PXXXwQHBycpWDx//pxRo0Yxffp0fv/9d0DtxVu0aNFEU6Bq1KjBp0+fAMifPz8zZszAwcEhBXv24/Px40dZ5PxBEMWCAQMGEBERwfbt29PcpyAIODk5MX/+/GS137FjB/Xq1WPAgAE4OTnh4+NDSEgIO3bsoH79+vj5+fHHH38wcOBA9PX1WbVqleTBq6OjI6XCi/8DWtGEpqamqb6g9PDwQBAEsmfPjoGBgbR81KhRfPr0CYVCIaX9i6JqREQEFy9eTNV46cGHDx/43//+JxUfyWg+ffpEp06dGDt2bKaMl1o2b95M+fLlE20zd+5crl+/zr///kuuXLm4ffs2efPm1WqTN29egoODefnyZUZOl6ioKFxcXNi7dy+PHj3CwcFBSj3+2REtBz5//iylG6eFrVu3UqdOHbJly/bdpCorFAq6dOkCqMX7hHBzc+Pvv/+mc+fOTJw4Md3nsXnz5jif9Tly5MDZ2ZkmTZrw9etXOnfuzNy5c8mePTtfvnyJ9/otMwROUGcRVK1aVctC5d9//6VNmzYIgiCnYCeBIAjY29tz/vz5rJ6KjIxMJhNfhuLs2bPp3r07vXr1on79+lIbW1vbFPcvi5wyMjI/DQYGBtjb2xMWFoaRkREzZszQSl1PiMaNG3P37l1y586d7LHOnz9P+fLlMTc358CBAwwcOJC5c+eSN29e/vjjj7Tsxg9DYGAgU6dOpUyZMpkWGSeTvixfvhwnJyfc3d3x9vYG1NEtyYm6TApPT0+uXr1KtmzZMDY2TvZ2ly9fZsqUKTRu3JgePXqgUqkoX748x48fJyIiItML+ERERDB+/HhevHiBkZEROjo6PH36lJIlS6JSqejRowfdu3fP1Dkll8GDB2da8RkPDw/279+fpkrKmcWFCxfYsGGD9NzPz4/9+/dr+ZWamJiwe/durl69St++fSlcuDD9+/fHyckJgKFDh7Jr1y4p6uzt27fpWrX+y5cv7N69GxcXF/LkyUPdunVZsGBBukUr/kiIxQQDAwPTfHwEQfjmigvFh4uLC/nz5ydPnjzJ3qZEiRLMnz+funXrsnDhwnSfU86cOeMtEHTo0CGta4Tp06fz8ePHb+K6oWTJkjRq1AiVSsXu3bupUaMGO3bsQEdHh0KFCvHq1SvZqz0Brl27RunSpbN6GjIy6YoSnQyvfv4jlLitVKmS1s19QHq+YcMGNm7cKN0sSk1RXzldXUZG5qckLCwMY2Njmjdvnqi/0507d+jbty8PHz5Mdt+nTp3it99+w8DAgJCQEEqXLs2UKVNo37497u7u5MqVK0WizY+K+BoAcpX175Tg4GDc3d2xtLRMd/FQoVCQN29ebt26RYECBVK8fc+ePbl+/TovXrzQipzMLO7du8eePXt49OgRnTt31irw0qZNG44dO5bpc0oJ586dY9q0afz7778ZPpZKpcLW1pZhw4YxZMiQDB8vrUydOpV27dpRrVo1Ll26xLRp08idOzefP39m5cqVLFy4kP/++w8/Pz8WLlxI7ty5qVixIra2tvTo0QNHR0etNNumTZtiZ2fH4sWL0zy358+fM3XqVMqVK0enTp0oWbKk/H2TDPLnz4+vr2+CBQqTy6tXrxg1atQ3X1AvNDQUIyOjFEUbnj17lubNm1OrVi0mTJhAhw4dUjV2SEgIUVFRmJubo1Kp8Pb2xsbGhurVq7Nr1y7y5MlD3759sbOzo0+fPpQvX56SJUty48YNqY9atWpx8ODBLLcBev/+PQULFpSeK5VKSpUqRYUKFTA1NaVfv36EhoZSv359+QZDLCIiItDX15cjXhPgW4p0lfWWpBGP0XX/YpiaZ6zIGRSgpI7Fq+/69Xj79m2y26bmBrAcySkjI/NTYmRkRFRUFJaWlkydOjXetLJ79+5RrVo1bG1tWbFiRbKKbgQFBfHrr7/y+vXrOFEG+fLl4++//2blypVahYVib59V3nuZjZGREZs3b+b27dtZPRWZVGJiYpJk2m5qEQSBqKgoevbsyb59+1K8/bhx49i9e3emC5xr1qzhzJkzvH37ljVr1rB06dI4bfT09Lhw4QKNGzfO1LmlhOXLl3PhwoVMGUtHR4fw8PDvQuAE9QX377//jkKhoHbt2syePZvmzZtz/PhxduzYwfTp01myZAkrVqxg8eLFeHh44OjoyP379wkICGDixIn8+eefgPpGgZ2dnZavX2oJDAyka9eu3Lp1SxY2U8iHDx8STdVOLrly5cqQSt7pSWRkJP7+/ik+R8QCTWfPnqVkyZLY2NhQp06dZG+/Z88eFi5ciK6uLn5+fpiamqKrq4tSqeTJkycYGRkRHByMtbU1vXr14uDBg2zYsIFs2bLxv//9T6uvefPmsX79+kSLf2UGBQoUwNfXFysrK7p164aOjg5z587l0KFDXLlyRZr3xYsXqVOnDvr6+iiVSnR0dH5qcW/Hjh20aNECGxubrJ7KN4tCofgmBE6ZlKFEV47kTAbpmbkSH9+2E7aMjIxMBqKrqyulpzVv3pyWLVvSpk0bFixYwIgRI+jevTv+/v7cv3+f+/fvU7hwYcqXL0+XLl0ICgoC1F5n7u7utGrVipw5c1KgQAFOnToVR+A8e/YsHz9+ZPTo0QkKnMBPI3CK9O/fP0V382R+LvT09Chbtmycc+TTp0/cvXs30W2rVKmCra1tsiwp0ouFCxdy/fp1Dh06xKZNm6hfv3687YYPH86iRYtS3L+4LytWrEi06E16UKhQITw9PTN0DJERI0Z8Fym+Io8fP2bPnj08e/aMLVu20Lx5c0BdyG7t2rVUrVqV/fv3kzdvXlauXMmsWbPYt28fQ4YMwcfHh5w5c9KxY0fCw8N5//49S5Ys4cuXL6may8qVK/n999/Jmzcv9vb2nD59WhY4U0lERATPnz9PUx9KpZJt27alz4QyCFdX11RVlO/QoQNmZma0adOGN2/e8Pvvv0u+40mhUqkYO3Ys9+7d4/79+7i7u/Pw4UMePHjAw4cP8fb2plixYnTt2hUzMzNWrVrFnTt3cHd3JzIyUvJOFalevTrz5s1L8T6kN/fv35c8i1u0aIEgCFy5coWDBw9K31tz5syhUaNGGBgYkD17dvT09NJFUP+e0dXVzTTvVBkZmW+PlFgThYSEpLiYm5yuLiMjI4M6mmb79u0MHTqUu3fv0qFDB2xtbRk3bhw1atQgW7ZsPHjwgOLFi9OuXTvGjBnDL7/8wtSpU7l8+TK///47rVu3xsDAIN470+Id++/8Izfd6devH+3atfvpL/hlEubhw4d06tSJSpUqERUVxePHj4mKikJfXx8rKysGDBjA3bt3+euvvzAyMtLatmTJkjx69ChDozlFL8VffvmFO3fu8OLFi2Rdj/Tu3ZtHjx5x5MgRrXTH+Hj69CkjR47E3NwchUJBgwYN8PX1xcXFBV1dXTZu3JhuETG3b9+mR48eGBkZUblyZXbu3Jku/SZGrVq1uHnzZoaPk160a9eOffv2xTnfkkKlUtG2bVvGjBmDiYkJtWrVYtq0aezevZshQ4bQtm1bSpUqlWQ//v7+bN68madPn9KtWzeaNGkipVnLKbGp5+PHj+zcuZNJkyaluo+2bdty7Nixb/a7furUqeTJk4cRI0YA6hu1YrG1pBAEgVy5cvHlyxdUKhUnTpxg586d7N27F1ALfleuXKFWrVpUr15d2m779u306dOHgwcP0qlTpxTPeefOnVy4cIEtW7ZoLY/t55YVvH//npIlS7Jw4ULmzJlD1apV6dixIzdv3uTWrVt4eHhgZmZGtWrV8Pf35/bt24SGhmJsbExISEiWzj0rUCqVzJkzh6FDh6bI514ma5H1lqQRj9EF/zKZkq7e2OLpd/16lChRgqJFizJgwABatWoV77XLkydP2LlzJ1u3bmXx4sVS8d/kIIucMjIyMgnw6NEjHjx4wD///MOBAwcAcHBwYObMmQAcO3aMlStX0rp16yRT2YcNG8bs2bPJmTNnnHWOjo6AuhDFz4SzszNTpkzR8vxzcXHh77//TnY1bZkfnzFjxrBixQrpuYmJCa1atSJXrlxSpI+BgQEbNmygZcuWWtvu27ePfv364ejoSO/evdN9bpMmTcLJyYnWrVtz9erVRKO042PKlCn8+eefREZGJtquYcOG/P3331haWsZZ5+HhQffu3XF2diYqKorhw4fj7e1NmzZt6Nu3r1bbV69eMXPmTEJCQtDX10elUqFUKrGwsGDNmjVMmTKF7du3M3XqVCZPnsyAAQP49ddfsbe3T9F+pQSVSkWtWrW4ePEi2bJly7Bx0gsfHx8GDx4sfSekFJVKRadOnejfvz+CIDBjxgwePHhAixYt2L17N9bW1nG2uX//PmvXrsXGxobw8HD09PQYOnRohqd7/YyUKFECNze3VG/v7e1Nzpw5UalU32Q6cuwbrp6enpiamiZbHA8ODqZt27Z4eHjg7OxMs2bN+O+//+jXrx9ly5ZFX1+fpUuX8uHDB2mbESNGYGVlhYODQ6rmHBYWJqWvx96Xb+FnrJOTE0uWLKFx48Zs2LCBO3fu0KpVKypXrsy1a9dYsGAB7u7uDBw4kPLly1OnTh3Onj37U0Zcnz59mpYtW0p+nDLfB7LekjSyyJkyIiMjWbduHWvXruX169eULFmSvHnzYmRkhK+vL8+ePSMoKIgOHTowdepUKlSokKL+ZU9OGRkZmQQoX7485cuXp1evXvj7+9O0aVM+ffpEz5492bVrF23atEmWwAnw+fNnli1bFm+KakaIL98D169fp0yZMlrLLCwsUpVGJ/PjYmNjQ5s2bbCzs8PU1JQxY8ZoRR09fvyYYsWKxRtV9+uvv9KyZUty5syZIe8zZ2dnvn79yvXr1xk5cmSKt8+dOzeNGzcmKioKPb34L8lUKhUmJibxCpxiHxMnTqRx48aYmJgwZcoU6taty4QJE6hbty4jR46kQoUKhIeHM3r0aA4fPhxHSHv69KkUKRsQECAt37hxI6VKlcLa2poDBw4kGXGaGnr06MHAgQO/C4ETYMOGDXTr1i3V2+vo6HDo0CHatm3LzJkzKVGiBLq6uvTv35/Zs2ezatUqQP26h4SEULVqVezt7aWq7DIZS/bs2dO0fY4cOahWrdo3KXCePHkSQKvAVa5cuZK9vSAIBAUFSV69x48fJ2/evADY2trSqVMn3r17FycNeeHChVhbW6da5FyyZEm8dhZ16tTh/v37VK5cOVX9phcDBgzg/fv35MuXj8DAQJo1a8aiRYuwsbFh9erVzJgxg3379nH06FEEQeDatWs/pcAJ0Lx5c8mTVEbmR0SFXoZ7cqr49r5fUoq+vj4jR45k5MiR3Llzh2vXrvH27VtCQ0OpWLEiY8aMoVGjRvHe+E0OssgpIyMjkww0xTeVSsWuXbsAkl1B9ciRI9IPDBF3d3eKFi2Kp6fnN2O+vm/fPuzt7VP9pZISDA0NqVSpktaykiVLcvbs2QwfW+b7ISwsjG3btknn5IcPHxgzZoyUsq5SqdDR0cHd3Z2QkBBKlCjBzp07JX9bc3PzBKN9wsLCCAsLS1BATIydO3dKKcIpKb6hyahRo7Czs6NZs2ZERUVhaGgo+buBOpW0c+fOSRbkadmyZZwo1qVLl+Ln58fmzZu5evUqoaGhHD9+PF7f3zJlyvDy5cs4y3V0dLC1taVr166ULVsWPz+/BMXY1BIWFsbGjRv58OEDs2fPTte+05OoqChat26Np6cnR44cSVNfOjo67N27l9atW7N161aOHz/O7t27USgUBAQEcPfuXQoXLix9vzx79iw9diFBPn/+LIlVIt9qJGJG06BBA27fvk2NGjVS3ceDBw/Sb0LpiOiB1rVr11Rtf+nSJa5evSo9b9u2LfPmzePDhw+EhIRQoEABQkJCeP36NQqFgjJlyvD06VMuXLhAzpw5+fDhA/nz50/xuK1atWL06NFSij2oz8/r16/z4cOHLBc5o6Ki6Nu3L6tWrcLExITw8HAKFSpE3759OX/+PHv37sXc3JwnT57g7u5OsWLFyJYtGzNnzpSimH6WqEaFQvFTfq7IyMgkTNWqVdO9YJ98G0VGRkYmhejo6EiiSYsWLQgPD0+0fVRUFADW1tY8ffo0w+eXFCqVCjMzMxQKBS1btuT+/fvSui9fvrBp0yYALC0t+fLlC8eOHdMSXtIDNzc3nj59yqBBg9K1X5kfj7x585I9e3YUCgXt27dnwoQJLF++nCNHjrB//34OHjxIo0aNCAwM5PHjx1LF69q1a1OnTh2pgvn169fx8/Pj0qVLPH78mIiICPLly0eFChU4depUiuf1+PFjevbsmeb9q1u3LhcuXODSpUu4uLjQoUMHSpYsyZkzZ3jw4IHk95kaLC0tGTduHKtXr8bJySlVhc1UKhXjx4+nQYMGHD58OFXzSIy///6bS5cuZbkn59GjRzl+/HiCPnmjRo1i/PjxPHjwgCJFiqR5PFNTU0qXLk3nzp2pU6cOBw8exM7Oji1btnDv3j3J1zEj0nEFQcDIyIj379+jVCpRqVQANGrUCEtLyzgR9j8Ts2fPZty4cane3tjY+JsoiBMfonArFi2bNWtWirZ/+/at1jZeXl60bt2abdu2SUXKSpUqxf3794mMjOT06dOMHz+exo0bY2xsTIcOHVI8ZwcHB9q3b0/FihW1lotFKJo2bZriPtMTW1tbZsyYQe7cufnw4YN0Y2jmzJmYmJhQsWJF/vnnHzZt2sT169extrYmJCSE0NBQwsLCKFCgQIZ6Rsv8OAQHBxMYGJjV05BJArG6ekY/ZBJH9uSUkZGRSQNLly7lzZs3rF27NsE2r169onjx4giCwK1bt6hZs2YmzjAu9+7dw87OjuPHj+Pr68vOnTs5ffo0nz59olu3bkRGRnL+/HkOHjxInz59ePfuHdWrV+fz58+A+odNy5YtuXLlShwfL80CTomhUCjw8/OLUzFVRiY2wcHBjB8/nvXr1wNw7do1Dh06RKtWraQfuD169MDExEQS6DWJioqifv36KJVKPDw80NHRoUyZMrx9+5ZRo0ZRr149fvnlF169epWs+ezYsYO9e/fi4+OTouqQyWH48OEcOnSIjx8/0qRJExo0aEBoaKhWemlW4OzszKBBgwgPD9fy2ktP8uTJw4ULFzJdYHN2dubFixf8+eef6OjocPr0aYoVK6bVxs3Njf79+3PlypV0G9fNzY1JkyZJwvGff/7Js2fPMiQtfffu3Wzfvp1t27aRJ08elEolenp67Nmzh9q1a9OzZ08cHR1T7Hn1o5LaQoFKpZJixYrx5s2bDJhV2ilVqhQvXrwgR44cfPnyhTdv3lC4cOFkb9+jRw/27NkjPXd0dKRFixbUrl2bZs2asW3btnij9CpVqoSrqyumpqbJFmm6d+/OmTNniIiI4OXLl3GK1Dx+/Jjy5ctnqSdnaGioZLMREBDAjRs3WLJkCYULF+b169fUrVuXiRMnYmxsjL6+Prly5cLT05MqVaqgr6/P7du3EQQBhULB69ev0+XmicyPS0hICEqlMkuq0st6S9KIx+iMfyVMMtiTMzhASXOLB/LrkQhyurqMjIxMGpgwYQKTJk1iy5Yt9OvXL942ml9AWSlwvnz5kl9//ZWgoCBmzZpF27ZtUalUhIWFAeqUSDEV7fHjx/To0UPyMRQFThEvLy9y5syZ6uqg3/n9NZlMxMTEhBUrVnDixAnev39P3bp1AVi+fDnh4eEMHTqUy5cvU6VKlXi319PT48aNGwDcvHmTGjVqxPED09HRwc/PL8m09Xfv3tGvXz8iIiIyxFPMwMCAbt26oaOjw5EjR6hevTrdu3dP93FSysePH6lfvz7Ozs4ZNkbt2rWzpJDOtWvXuH//PmfPnmXChAlxBE6AwYMH888//6TruH/88QcHDhzgn3/+oV27dgBSRGV6IQgC69evZ+jQoTx79ozKlSvj4eGBrq6u1mewZgryz0BERAS+vr4J+lEGBQVhamrK06dPUyS637hxI0XVXzMTNzc3Xrx4AaitNoAUCZwzZ86M8944efIkbdq0wcPDA1tb2wTTkA8cOEDJkiUJCgqiXr16iZ5vo0aN4ujRo3h6ehIcHJzg5+yTJ0+y/CapoaEhoPaNNjMzo3nz5hQrVoyjR48SERHBvHnzmDdvHiNHjmTatGnUrFmThw8fcuPGDUkIF/19ZYHz++fAgQO0bNky0YyJjx8/cv78eTp37pzsYl8i34tv9c9OZkRaKjO09x8DOV1dRkZGJo0sXryYJ0+eSNGJsUlLpda08Pfff2NiYsI///zDypUrKVGiBKdPn8bV1ZUlS5bw4cMHBEHA0NAQLy8vFixYIG07fvx4evToQatWreJ4idrY2PDs2TO+fPkSZ0wTE5MUV4lfu3YtkyZNSt1OyvwUHD58mPfv38dZ3rBhQ3r06IG7uzvHjh1Lsp9atWrF+6N55cqV5MiRI973ryYFCxakbt266SpwNm7cGBsbG5o2bYqRkRHLly8H1KnmpUqVYsaMGek2Vkrx9vZm7NixbN68md69e6f4R1lKmDZtGtWrV+fOnTsZNkZ8TJgwAVNTU4oVKxavSBMUFIShoWGqfFsTw9raGmtra/744w9at24NpK3ozd27d1m4cCF///03M2bMoG3btrRv3558+fIhCAJ58+albdu26TX97xoDA4NEC+6YmJjw6dMnRo0alaJ+c+fOneH+qanly5cvlCtXjkmTJtG8efMUbz9nzhzmzJlDrly5pPdJjx496NSpE9WrV2fs2LEJbluiRAkeP35MxYoVuXbtWqLjPHr0iH79+hEaGprg5+zdu3dZtmxZmqLKlUoloaGhqd5+8uTJkui0bt06rl+/zooVKyhatCgjRoygffv2rFmzBoBVq1Yxf/58ypcvT6FChbCzs+PRo0cAnDlzhtatW3Po0KFUz0Um6xEEgc+fP8cJCIivXWhoKLq6utJzR0dHZs+ezeHDh/Hy8op3u5CQELy9vdN93jIyPypyJKeMjIxMOvDnn3+yY8cOrKys+OWXX8iVKxdv3rzhl19+wc7OLlPn0qJFC8zNzTlw4ABfvnzh7t27NGzYEEEQuHPnDj169ODo0aPkzZuXmTNncu3aNRo2bEjHjh05f/58nP66du3K48ePmTBhgrQsttgRERHB9OnTWbJkCYIgSD9OVq9ezfDhwxOd7/Dhw7/ZQg0y3wYtWrTQ+v/06dPSc9FzMy2EhoaiVCq5ceMGrVq1SrCdg4NDou9nNzc3Jk+ejLW1Nfr6+vj6+kqevB8+fODFixdERERQp04dQkJC8PX15f3793h7e8db0GfChAm0bds2zo2GzKJZs2YMHDiQRYsWYWBgkO5Fh0BtJ3D58mW2bNmCjY1NqqPD08LXr18BdYE5zeIoYWFheHp6ZkglZBcXF/r27UvNmjXx8PCQMgEOHTpEp06d4rQX01pFxIIvoaGh5MmTh9y5czNgwADu3bvH6NGj4wimurq6HD16lI0bN6b7vnxPODo6Jkuwz5MnD9evX+fdu3cULFgwWX0XKVIkQ28EpIVKlSpx4sSJVHv6iefehAkTmDFjBqGhobx//x4/Pz9KliyZZDGZsmXLcvToUWxtbdHR0aFRo0ZakeHbt28nICAAXV1dli9fzqBBg+KkqH/58oXp06fz+PFjLl68mKb3ZUREhCQ0RUREpNgXU7QQ+fr1K6ampnz8+JG3b99y/fp16tatS7Zs2ShdujSCIFCkSBE8PDxwcHDg7Nmz5M+fX8ow+PXXXzlx4gQnTpyQM1y+YxQKBSNHjkyyXf78+fnjjz8A9ffLsmXLyJEjB+3bt6dcuXIJFqD677//MDQ0JEeOHOk6bxmZb42wsDCMjIzS3I8scsrIyMikE2Jk47Fjx3j06BGlS5emU6dOUmrY27dvMzQd08PDgy5dujBjxgwMDAy4efMmOXLkkKI2VCoVQ4YM4d69e5iampI3b14cHBxQKpWJRqbVqVOH0aNHSyKnl5cXly5dQqFQEBYWRqdOndDT00OpVCdQKBQKJk6cyJIlS9i7dy+LFy+mZMmS+Pr64uvry5s3b8iRI4d0V9rNzY3ixYtn2HGR+f6xsrIiKChIeh4UFETu3LnTrVhNo0aNWL9+PefOndMSOUNCQhg2bBjPnz/nxo0bvH//nj59+iTYz8SJE5k6dSr58uUjPDwcY2NjzM3NCQkJ4caNG9SuXZv27dvz999/8+TJE6ZMmcLDhw8T7K9+/frMnz8/XfYxpTg5OWFra6tV2T1fvnzpOkZYWBgFCxake/fuTJ06lbVr13L8+HHq16+fruMkhLu7O3369JE8lStWrMjs2bNxcnIiKiqKZs2a8ebNG1avXp3uYx8/fhwbGxssLCxo2bIlGzduRFdXl+7du5MrVy7JliEiIoL58+dz+vRpqlWrRnBwMKGhofTu3Zvp06fH6TehKL1s2bJ9E9YH3wJRUVFxROP4cHFx4ejRo1pVvRNDV1f3m00p9fX1pXDhwtL3dGr4+vUr69atkyIgFy9eTNu2bWnWrFmyts+dOzdmZmZkz56d0NBQPD09sbGx4cuXL4wcOZLevXvTqVMnXFxcMDAwYNOmTQwfPpzw8HAOHz7MpUuXGDVqFGXLlk3TfoC6QJR4A0oUOJMrdmp+F129ehVTU1Nq1KjBvXv3aNq0KQqFgnv37lGyZEkqVKiAlZUVW7dupXHjxjRq1Ii6devy+fNnDh06RMGCBXFzc6N69eop9kiV+b4xMjJi2rRpyWqb1V7+MslHiU4mpKv/WDdEVCoV8+fPZ/369Xh6evLixQuKFi3KjBkzKFy4MP379095p8J3jr+/vwAI/v7+WT0VGRmZn5xcuXIJ5cuXF9atWxdn3datW4WM/sgFhC9fviS4ftmyZcKqVauk57a2toKtrW2y+m7fvr0ACD179hRGjx4t7NixQ7h586YwbNgwoWHDhkJERIQQFBQkLFy4UKhUqZIACICQK1cuwdvbWwgNDRUAoUuXLoKzs7OwePFioXDhwkL+/PmFsLCwNO+7zM8JIMycOVPw9PRMc19fv34VihcvLvz6669C0aJFhd27dwt169YVChQoIBgaGgp9+/YVbGxshG7dugkfP36Mt48BAwYIq1evTnScq1evCnny5BHevXsn1KtXL9G2t27dEsqVK5fqfUoL9erVi3NttXz5cmHy5MnpNoaLi4vQunVrrWXz5s0T5syZE6ftwYMHhT/++ENo27atsHfv3hSN4+zsLERGRsZZ3rx5c8HX11dr2ZIlS4SRI0cK165dEwYMGJCicVJDcHCw0L59e61ls2bNEoYMGSJMmzZNKFq0qPD8+fM0jzN69GgBEE6cOJHmvr533NzchODg4GS1Te739t69ewVA+O2339IytQwjKChIWLBgQZr6ePfunWBiYiJUrlxZAIQVK1YINjY2yT6Wfn5+wp49e6TPUrGf1q1bC2/fvo3TXryOKFSokHDo0CGtdQcOHEjTvqhUKsHPzy9V2wKCQqEQsmfPLgDx9jNhwgRh+/btAiCUL19eeP78ufDLL78IFStWFOzs7IQLFy4IPXr0EMzMzITffvtNGDt2bJr2R+bHRqVSCc2aNZOeJ/c9l17IekvSiMfomH814YJQK0Mfx/yr/VCvx5w5c4SiRYsKO3fuFIyNjYVXr14JgqD+Xq1Zs2aq+pRFThkZGZl0YsiQIcK2bdukC3M3Nzet9X379s0woTM4ODjJvn/99VdJDFqyZIlw4MABYcqUKcLJkyfTNPbjx4+F4cOHC4Cgq6sr6OjoCEeOHInTTjw2c+bMkX4kAIJKpUrT+DI/L69fv5beb/Pnz9daFxgYKDx79kyYOnWqMGXKFMHV1TXJ/vr06SPUr19fePv2rdCjRw9h06ZNgiCoRaclS5YIvr6+QtWqVQUzMzNpG6VSKdy4cUP48uWL8PjxY6Fbt25JjtOlSxdh/fr1wrZt2wR7e3vh/fv38bbbtGmTMGXKlCT7S2+2b98u1K5dWxAEQfj333+FCRMmCHv37hUWL14s5M+fX5g4cWKaxzh48KBQoEAB4e7du3HWtW3bVktIViqVQv369YUnT54IgYGBQo0aNYTQ0NBkjdOiRQth+PDhQpMmTYSdO3dKywcPHizs3r073m3GjBkjDBkyRBg+fHgK9yp1jBw5UtiyZUuGjjFo0KAM7f97Ye3atcLatWuT3V78fEmKAgUKCLly5RJu3bqVlul90/j7+wvFixeXjsmzZ8+Eli1bCgEBAVrvrYTw8fERXr58KQiC+sdruXLlBFtbW6Fhw4bC1q1b47QFhPDw8Hj7Smh5SoiIiEjxNqampgIgtGzZMlk3aA8dOiRUrlxZmDFjhmBoaCiUKlVKOn7dunWT/geEJUuWpGY3Mp2DBw8m+J0lkzyCg4OFv/76K8l2M2fOFN69eyeEh4drXeMkFtCQEch6S9KIx+iIf03hrFA3Qx9H/Gv+UK9HsWLFhPPnzwuCoP6MFUXOp0+fCpaWlqnqUyEI37cBSEBAABYWFvj7+2tVMJaRkZHJCipXrkxkZCSPHz/GxMREK60JYnytkvrojYqK4u3btxQrVozg4GAgrg+mJoIgULRoUdzd3RNs06BBAy5fvgyofQwvXLiASqXK1GIf5cuXZ9iwYVJxIl9f33Qv6CHzc+Hl5UW5cuXw9vZGpVKhUChYuHAhBw4coHTp0gwYMAATExNGjx7NqVOnEj3frKys8PX1TXLMMmXK4OXlRenSpQkPD6dWrVo4OzuTK1cujIyMOHXqVKLb//777wwePJg6deqwZ88efH194xTsunPnDn379sXZ2RkbG5tkHYv0olu3bvTt25dGjRpRv3591qxZw/Xr17GysiIgIID69etja2ub6v5HjBjBpUuXOHPmDHnz5o2z/t27d8ycOZNt27YB0KFDB0aNGkXDhg0BuH79Ort27cLR0REvLy/c3d0xNTWlUKFCUmXbjRs3cv78eQwMDNi5cycqlYpJkyZx+fJl8ubNS5UqVZg5c2a889u4cSPLly/n/v376eINlRwaNWqEo6Njiqp5p4TevXuzffv2DOn7eyI536eaPHnyhHLlyiX6nT1t2jRatWqFhYUFFSpUANRWCD9i6nGFChX48uULnp6efP36lV27djFixAh69epFr169tPyTY/Pq1SuKFi2KQqHg/fv3uLi48PLlS5RKJWXKlKF9+/ZS2xIlSqBQKKSK8LFRKpWSp2Zm8ffff9OhQwfWr1/PoEGD4tgdRERE8PTpUypUqICOjg43b96ke/fuPH/+nF9//ZWjR48CcPnyZRo0aMDbt2958+YNDRo0kPoICwuTqrZ/C4SFhaGnp6flx3zu3DmqVKlC9uzZ8fT0TLSI149KUFAQdevWTZOffFRUVJI+1+fOnePixYtahUGzAllvSRrxGB3xr4mJecY6QgYHRNHB4tYP83oYGxvz7NkzChUqhJmZGa6urhQtWpQnT55QvXr1OL+lk4PsySkjIyOTjty/fx9nZ2eCg4O5efMm9erVo127dowfPx5Qiwd79+5FoVDQtGlTzp07F6ePGzduUKdOnTiCS4cOHTh8+HCc9uIXa5MmTRKc119//aUlSly8eBGFQiGJo5mFWFF0yJAheHp6MmnSJHx8fNi2bds3W7BB5tvGxsaGOnXqcOzYMVq0aMHWrVtZt24db9680fKaXbVqFdWrV0/wRzNAtWrVpPdoYjx9+pRLly7x/PlzBg8eLC2fNWsWTk5OSc55//79vH//nosXL5ItWzbu3bsXp83MmTM5depUpgucI0aM4PPnz9jb26NSqdDV1eXr168prjSdEFOnTuXQoUO8fv06QQHxwYMHhIeHA+oK78HBwZLACWqf4IMHD9KhQwfMzMzInz8/wcHB3Llzh06dOvH06VNAfZxFdHR0WLp0abLm6OPjg6GhYaYJnAD79u3jl19+Yd++fRQpUiRd+46IiJDEvZ+dlH7PlC1bFoDIyMgEi4Jcv36d3377TetGRZEiRXj06BHlypVL/WQzACEZXqQJ8fDhQ+rWrcv69esBsLS05ObNm9SoUYNdu3Yxbty4RLcvVqwYAM+fP6dkyZLkz5+f+/fvc+3aNUngFASB1atX4+XlxZs3bxLsK7MFzi1btnDjxg3Kly8fr8AJ6nPk5s2bVKxYEVD7KFarVg0XFxdcXV0ZO3Ysvr6+uLu74+7uToECBShYsCDDhw/nwIED+Pv7Z+o+JQdjY2M2b94sFUYDsLe3l/7/GQVOAFNT0zQXzBQFzg8fPhAeHo6HhwclSpTQ+s63t7fH3t6eqKgo1q1bx/Xr15O8PpHJWpToocxgiU10JK5WrRq6uroMGzaMYcOGZeiYGUnZsmW5evVqnLoVBw8epHLlyqnqUxY5ZWRkZNIZUWxs27YtgiCwZcsWDAwMiIiIICQkhGPHjtGmTRvOnz8vCY2gvmO7ceNG9PX1GT9+PDVq1EClUmFqaopCoWDw4MEoFAqioqK0LvB79+7Nu3fvKFCgQIJz2rx5Mx8/fkShULBq1SpUKhU6OjoMHTpUuiDPbHLlyoW5uTkbN25k7dq1ssgpk2o2btxIcHAwRYsWpWHDhuzZsydOMa1q1aoRHh6Ou7t7giLS2bNnMTY2lt4fidGwYUMt4Q3UIueePXuSnG9ISIj0OdGmTRuWLVumVfRiwIABREZGSlW+M5MHDx5w8eJFdHR00NHR4eLFi1SqVIkLFy7EqXacFNevX+fKlSv4+flx+fJlLCws0NHR4dOnT4luN3fuXJYtWwbA3r176dWrV5w2y5cvj7Ps+fPnPHv2jOLFi/PLL7+kaK6aTJ48OV7hOSOxsbHh9OnTdOnShZEjR9KuXbt067tXr17S8ZRJHcHBwXGiwEeMGMGZM2fQ0dGhTJkyrF+/nosXL7Jo0SK6d+9OoUKFvqmK2WFhYbRu3VqrqnlKKFSoEEuWLGH9+vXSfonv665duyb7x6h481ahUFClShX++ecfQH1T4t69e9SuXRs/P79Ui7HpiSAIdOrUiVOnTtG0aVOOHDmS4LzCw8Olytmg3r/9+/czYcIEqlevzq1bt6SoXy8vLxo2bMiMGTO4efMmb9++xcjIiMuXLye7kFNmkJHnb3h4eKqiVpVKJYIgJBkF+a3y9u1bdHV1sbGxQVdXFy8vL549e8bx48cZO3ZsvDc29fT0qFChQuoKsMj8sLi4uPwQkZwzZ86kd+/efPz4EZVKxeHDh3n+/Dk7duzg+PHjqepTTleXkZGRyQQUCgW//fYb1apV48SJE4wZM4YRI0agp6dHwYIFAXUK7F9//YVCoUChUFC+fHmmTZtG9+7d2bt3L7/++iuLFy9m8uTJfP78GTMzMwYPHkzLli3p2bNnsubRqVMnDh06BKgvMJVKZZZWgw0ODsbU1JQ5c+YwadKkbypNS+b7w8bGhsqVK3PmzJl41+/bt49r164lWC3bx8eHqlWr8uLFi1T/gKpUqRJ37txJdHsXFxeGDBki2UQMGTKEyZMnS3exK1WqlOYokdTg5uaGvb19nAiqT58+0bVrV+zs7Fi5cmWy+8uWLRvLli0je/bsNG3aFGtr62RtV6xYMezs7MiTJw83btxg7969UhRYZtG1a1etSNDMQqVSMWXKFF68eEH27NmZMGECpUqVSnV/Fy5c4Pz581me7vg98+zZM2bMmMGBAwekZb1792b//v14e3sD6ghRQRDQ0dGRbDMUCgW5cuXCw8Mjq6YeB19fX6ysrFK1rZ+fH3p6epiZmcURv/78808pYyWlFC9enPDwcLp27SqJ8W5ubixcuJAtW7akqs/0YsSIEdINnwULFmBsbJziPpRKJV5eXkyePJm1a9diampKVFQUPXv2JCwsjGHDhmFvb8/x48eZMWNGlnz2f0+Eh4cTFBRE9uzZ46zz8fHBzMwswajrbwGlUklgYCAfPnxAqVRKgQYeHh5MnjxZsmmJjY+PDxYWFujq6jJt2jTq169P8+bNM2XOst6SNOIx2u/fgGwZnK4eEhBFV4vLP9TrcfXqVRwcHHB1dSUoKEiyFErtTZ/EwxRkZGRkZNKFKlWq8L///Y+RI0dSqFAhpk+fzqFDh3jy5AmnT5/m9OnTLF++nKCgIDZs2ADAf//9x6JFiwB1mrtCoeCXX36hZcuW5MmTh3LlyjFu3LhkC5wAFStWZPbs2QAYGhpmqcAJ6h+GI0eO5MKFC5QtW5ZChQoRFhaWpXOS+X758uULZ8+eTXD9wYMH+d///kfu3LkxNTVl/vz5Wuvr1KmDu7s7mzdvTvUcOnTowJUrVxJtU6FCBVQqFe/evZOWhYSEAGqfrpw5c6Z6/NSydOlS6taty759++Ksy5s3L9euXePTp09cunQp2X3mzZuXZs2a0bVr12QLnACurq4sXrwYFxcXVq5cmWkC5+zZs6lfvz6NGzdGqVQmvUEGoKOjw+LFizly5AjTpk1j+fLltG/fnkGDBvHq1asU97dkyZIEvUd/dqKiopLVrnTp0nTp0kX6PgbYsWMH+/btw8TERMpC8PLyolGjRlKkn0qlwtPTkxs3bqT/5FNJtmzZePbsGevXr09xROfRo0elLJLY0YwvX76kbdu2KJXKFH+HV65cmYEDB0oCZ2RkJAYGBlStWjVF/aQ3Fy9eZM2aNdSpU4fly5enSuAEtWC7ePFibt68SefOnbl9+za//PILYWFhHD16lGbNmqFQKHB0dJSsNrKaiIiIDLkW+/LlS5q2f/bsGYaGhpibmxMZGQmoRU8/Pz+ePn2Kp6dnplsZpBRdXV0sLS0pX768ViZVrly5pOv/+LC2tpb2rWfPnpKli4zMj0C9evU4d+4cXl5ehISEcO3atTRFtX+fcd4yMjIy3xl3797F19cXa2trnJ2defXqleSRGRQUJP1IMjc3Z+fOnVKUhI6ODnp6etSrV4+LFy9Svnx5AgMDsbOz48WLF7x69SpFfiUzZ86kTJkyktD5LSBGhk2dOpWjR48yaNAgGjduTJ8+fbJ2YjLfHYsWLWLy5MkJGvrb2NgQHh7O5cuXKVWqFLa2tkybNk1a7+npybx58+jUqVOq5/D48WPKly+faBsjIyNy5syJl5cXBQsW1CrsEBUVlSU3Hy5cuICnp2eibXbt2kWXLl3ipOmLBAUF8fnzZ+7fv8/69esZPXp0qgRKU1NTTE1NGTduHNOmTSMiIoLVq1dTpUqVFPeVXFQqFcuWLSMwMJAHDx5QqVKlDBsruRQpUkTyP3z+/DmLFi3iy5cv5M6dm0GDBmFgYEBgYCDW1tbxRntu2LCBZs2aZaq36PdCeHg458+fp3Xr1slq37VrV9atW0f37t3x9vZm3bp1tG3bVqtNbDsHhULB3r17qVOnzjeTtm5oaMi4ceM4efJkin1ae/furfW8VatWnDx5EgBHR0emTJmCIAiS7UZy0YyQBdDX16dQoUJxirFlNr1796ZKlSp06dIlVdt/+vSJPXv2cOHCBVatWsXQoUMpVaoUuXPn5p9//olznE6dOpVpKfqfPn2Kt+ibiCAISYqFz58/p2DBgikSfxO7gafpexsaGhpvv6VLlwbQitQ0NDTE0NAw0aKCd+7cwdraOlM96FNKYGAg5ubmnD59mnLlyiVqQWViYoKfn1/mTU4m2SjRRUnGCu1Kvo3vk/QmIiICLy8vVCqV1nIx4zElyJGcMjIyMpmElZUVb9++5cGDB7x+/VryXBM9NwEWL16Mq6urtM29e/fw8/OjcePGODk58ezZM86dO4dSqURfX58SJUqkaA4RERHf3F1uDw8PypQpg4eHBw8fPmTHjh28ePGCefPmZfXUZL4zJkyYwOjRo2nfvj2vX7+Osz44OJjdu3dTsWJFjIyMsLS0JCoqCj8/P969e0e5cuVo3LgxOXLkSNX4ly5d4t27d8kSSZVKZbyRSn5+fpn+HvXx8UmW4GFgYICBgQHXrl0DYMyYMbRq1YqnT59SokQJGjZsyOLFi/Hy8mLhwoUMHz48TfPq1KkTFy9e5NixY4wdOzZBm4H04MmTJxgYGCToiZbVlCpVik2bNvH3338zZswYdu3axdatWxk0aJBWhKFISEgIR44cYezYsVkw228fQ0PDZAucIkOGDGHnzp2cPHlSy3tRZNWqVUydOlVr2a+//gqoo8i/FRwcHMiVK1eKxUhNbG1tOXXqlFQZXEdHh8KFCxMVFZWkn/H3gEql4v3799y4cUO6PgsPDycgICBZ2wuCQLNmzYiIiCBv3rwEBQXRrFkzzM3NJZ/2+LC0tOTt27fpth/x8fnz5yRFd0NDwyRTvkuVKpXq6FaRqKgoaS6a46X0xowgCIlWYLa1tSVfvnypm2QmIaYd58uXj7///htQX7PHR6FChfj9998za2oyMhmKm5sb9erVw9jYmEKFClGkSBGKFClC4cKFU12I8fv/FpKRkZH5jihYsCCmpqYUKVKExYsXAzEXdjdv3qRChQosXbpU60LaxMSEyZMnM2DAAHr06MHAgQO5cuUKERERqSoapK+vL/mIfQs4ODgwffp0tmzZIv04WrBgAfv27fsmCg/IfD/o6Ojwzz//cOLEiTgRhCNGjODRo0daBV3ev3/Pf//9R9euXalatSomJibUqlUr1eOvXbs22encHz580LpbLUZR5s6dO9MjNNasWZPsaCUvLy+6d+9O/fr1iYqKwtLSkjZt2nDo0CHu3LmDk5MTw4cPp0aNGuk2P2tra5o2bSoVKMkIypcvz+PHjylevDgdO3aUItS+RUqVKsWyZcvIly8fLVq0YOvWrXHaODo6xrFjkEk7urq6CYo/LVu2jDdyuWPHjqmOBswI7OzsuH79OufPn0/V9suXL2f9+vVYWFhw5coVBg8eDECtWrW+qdT8tKCjo4Onp6fWzTIDA4NkF0j8+PEjurq6TJ06FScnJypVqsTbt285fvy4VFRSk8DAQARBwNHRkdOnT6frvsQmb968me43rHnzXhMdHR1ev37N169fgRgLidjXfpGRkTx9+lSydYnNpUuX+OOPP+IcVxEDAwPJ833evHkpDhDITCpUqEC3bt3YsmULs2bNyurpyKSQKHSIQjeDHz+WhNenTx90dHQ4fvw4d+/e5d69e9y7d4/79++nugjkj3WEZGRkZL4jnJ2dqVy5Mk+fPuX48eM0adKEQYMG8ezZszhG0np6ety6dYvHjx/z9OnTRNOMEsPAwIBhw4YxePBgduzYwZ07d/jw4QNr1qzh6dOnCV4gZiQVKlTQShkWefjwofTjSUYmubx69QpnZ2datGjBkCFD+Pfff2nQoAFfvnzhzp07WlFGixYtolu3bpibmzNs2DBatmyZprF9fX2THYGSJ08eKUpDT08v1cVAUoqfnx8TJ06UfkyGhYWxYsUKhg0bluS2jo6OFCtWDHd3dy5dusTq1avZvXs3L1++lOw3Morp06ejVCqpVKkSt2/fzpAxcufOzdChQ7lx4wYjRozIks/D5LJu3TpevXrF0qVL46x79+4dz549w87OLgtm9u0THByMo6NjuvebP3/+eKsfi8X+viWeP39Ohw4dUnWOjx49mlq1avHvv/9Sq1YtNm7cyOPHj/H19aVJkybf9PsmuZw/f57cuXNTr149admjR4+S7YO4e/du/vvvP27cuIGpqSm+vr48fvyY6tWrc+fOHclPEtQ3jiwsLHjx4gVBQUEZai9Rv359APr165dhY8RHcHAwgiDw8uVLreU6OjoUKFBA8mwODQ2Nd/uoqCgsLCwStHJZs2YNb968STSaU2T69OncvXs3wfXe3t4EBwdn6XmcPXt2njx5kmAk/q5du6hduzatW7fGwcEhk2cnI5O+PHjwgA0bNtCyZUsqVapExYoVtR6pQRY5ZWRkZLKI3r17c/XqVYoVK0br1q0JCQnh/fv3CVbSLV++PF27dqV27dppGnfAgAHUr1+fY8eOsXbtWvr06UN4eDhTpkyhWrVqXLhwIU39pwQx9c/c3DzOBaUgCGzYsIEePXrw4sWLTJuTzPdP48aNOXXqFOvWrcPR0RFXV1f27t0bp13v3r158eIFBw8eJDg4WKsQUEpZtGgR7du3T3b7Fy9eSD9mT5w4oeW/ldyUyJTg4+ND48aNqVq1KidPnqRcuXIEBARQo0YNVq1alWSKaVRUFJs3b2b9+vXo6ellSUrqhQsXOHv2LB06dMDFxSXDxtHR0WHr1q3UqlULNze3DBsntezcuRMXFxfWrl0b7/pJkyZlaGr/j4C3tzcFCxZMV7HTyMgowUjw1KbcZRR16tQhLCwsVcWsREqWLClFHTo4OGBmZsarV68YOXIkCoWCJUuWpNd0M5WQkBDs7e0RBIGCBQtKwtvBgwc5duxYottGRUWxd+9e/P39USgUlChRgsDAQCwtLSlbtiw7d+5k9erVUlQhwKBBg6hRowalS5dm0KBBcbxP05MKFSpw7949LCwsMmwMEUEQpOu62rVro1AoKF68eJx2BgYGUuSmmZlZvH0ZGxsnaiNy6NAhzpw5g7m5OS9evMDHxyfRuSVWkToiIoJOnTrFsY2JiorKNOFTR0eHP//8M0EP086dO/P777+TM2fOBKNkZbIGJXqZ8viRKFu2bLpnGCqEb8UJ+//snXVYVNv3h98ZUkBRQERsUUy8KioGdqCIhZ3YXei1uzsvYnc3JnYHio2FigoWonTDMPP7gx/ne7k0DOl5n2eehznn7L3XOcOcOXvttdYnnQQFBaGrq0tgYGCyN6zcyNevXylevHh2myEiIpLDMDIyYsqUKdjb2yu9b5lMRsuWLXF2ds50sYpnz55Rs2ZNnJycEgg4QGw9UnNzc2QyGb1792b8+PHUrVs3U20SyZscP36cEydOMGnSpEQFZWQyGWpqavj7+ycrXpAcHTp0YO/eval+Fhk4cCCVKlVi0qRJdOzYEQsLC6ZNm0Z0dDQNGjRg165d+Pn5ERQUhKGhIVWqVEl3/TOZTIaZmRmzZ8+mZ8+eAPzzzz/Mnz8fPT093N3dU+xj/vz5guBNdhMQEEDlypX5/v17po7z6dMn+vXrR5cuXRg3blymjpVajh07xsmTJ9m/f3+i+93d3blw4UKOsTen8urVKywtLXF3d1dqDdbatWsncMBfunSJCxcusHr1aqWNowx+/fqVrBBMSnz8+JFRo0Zx9epVITKxTp06zJgxg/bt27N9+3aARKNbczLTpk1j6dKlzJ07VxBpjI6OJioqiujo6EQdhJ8/f6ZIkSJoaGiQL18+IUrf19dXiFKE2LIkgwcPjucslUgkQimVnTt3xosezc1ER0enS4gqKby9vROIe2UWd+7coXz58hQpUkTY9u3bN3R1ddHR0ckSG3ISednfoizirtGuwNZoFUi+nm1GCQuKpr/uhTzzeVy7do2ZM2eyePFizMzMEpSESc85ipGcOZikig2LiIj82eTPnz9disWpQVVVlXXr1tGiRQsGDBhA165d6dGjB7a2tlhbW6dZqCE5wsPDUVFRSdTBCfD27VumTp2KiooKhw4dYs2aNcybNy/J/hwdHdOsFivyZ9C5c2f27dtHjRo1aN26tZCqHYeqqioDBgygYcOGmJqapmuMtm3bJhlZlxhbtmxh3759NG7cmPz58zN9+nQGDx7M2LFj6dy5M+/evePnz58ULFiQ79+/M378+HTVWIxzcM6dO1dwcEJsjdJfv36lysG5Z88e7ty5kyMcnBArzqGlpcXZs2czdZwyZcpw9OhRXFxcMnWc1OLs7MyhQ4eSdHACODk50atXryy0KndSunRpypYtm+y1TA/ly5fn0aNHQGx6s4mJCStWrMhxDk5IqHT93/tiSpQtW5Zz584JitWdOnVi37599O3bl8mTJzNo0CBCQ0PR1tbO9AWJjBIUFERgYCAFCxZk6dKlKBQK5syZI9i9detWrl69mmidcA8PD5o0aUK9evXw9PTk+vXrmJmZsW/fvngOTgBDQ0OKFi3K69evgdjnnA8fPuDk5ETXrl0xMzPL/JPNItTU1JTm4ASyzMEJYGlpGc/BCbGCQHEOTjc3tzR/X9LLvHnzaNCgQaL77t+/T5cuXbh9+3aW2CKSMnHq6pn9yku0aNECFxcXmjdvjqGhIYUKFaJQoUIULFgw3aWcxEjOHM7ff//NypUrs9sMERGRHMS1a9fo27cv3759y7QxXr58iZ+fHzVr1iQqKkp4ULewsOD69etJ1kVKCzVr1mTDhg1pEnopXrw4tWrVQkNDA21tbZ49e0bz5s05ffo0JUuWpFq1akRFRVG3bl169OiR45TkRbKfR48e0atXL1xdXRONyGnZsiUPHjwgICAgTSnZcrmczp07c/LkyWSPUygU3L59W1Albt26Nc7OzqkaY/v27UycOJHAwEBevXpF5cqVU7SpZs2abNy4MUOCSo0aNWLo0KH06dMn3X0om6tXrzJjxgykUikXLlzItGdAmUxGu3btUv0ZZRZ37txh6dKlnD59Osn/y8jISIYMGcKePXuy2LrcydKlS3n06JFSlc+jo6OxtLTk3bt3WFtbs3r16gTOkpyIXC5nw4YNuLq6pvn/Ry6XExgYyOzZs1mzZg2zZs3i3LlzRERE8P79e27dusWBAweYNGkSoaGhOdaRFxYWhra2NtHR0aiqxqaDjho1Kl5Jg5CQEEF86OrVq/z999+MHTuWwoULM3LkSKHkUNGiRbl+/Xqi40RHR3PkyBHc3d1ZsGABa9asITIykilTpmT+Sf5BuLu7J1n+KTFkMhlv3rzJcf+f79+/5/Lly4wcOTLBPj8/PxYtWoS7u3umLvrldX+LMoi7RtsD22ZJJOcg3XN55vO4efNmsvvjnpfTgujkFBEREcllWFpaYmZmxsaNG7N03O/fvzNmzBiliSj4+PjQtWtXnJ2dU+00bdq0qTBxUCgUBAQEJFjlk8lk1KhRg9q1ayOXy+nYsWOaaiWK5H0+ffqElZUVV65coWTJkgn2t2rVijlz5iQZPZEUjRs3pnr16qxbty7R/efOnWPRokU0bdoUf39/6tWrh62tbaoVeyG+6mxKj3AymQwTExM8PT1T3X9i3Lp1i6NHj+bIOo+nTp1i7dq1SToUlEHPnj3p1KkT7du3z/QyHonh6urKrFmzOHv2rOB8SQx7e3vGjh2b4+o/5kR69OhBlSpVeP78Obt3707TdzAvolAo0NHRISwsjL59+zJr1qw0K1DHKUK/e/eOIUOGcPz4cW7cuEG/fv14//49jRs3Zv369XTp0iWTziL9bNiwgS1btrBhwwYsLS3j7QsODo43x1yxYgW9e/cmICAAU1NThg4dSs2aNRk9ejQTJ05MU3DKpUuXGD9+PG5ubqioqBAWFoZcLv8jU6Izg7lz56Ktrc2kSZNSPDY4OJioqCj09fWzwLKkuXDhAs2aNVNqFGxGEf0tKRN3jbYEts8SJ+dQ3dPi55EMeatqqYiIiMgfwN27d3n69GmWOzkHDRqkVJEGQ0NDNm3aRPXq1alQoQKampocPnw4ySil79+/c//+feG9RCJJNI2hW7durF69mpYtWwKxKsQmJiZMmDAhVQrSInmfMmXK8OTJE8zMzDhy5Ai1a9eOt//evXsJ6l8qFArev39PeHg4v3//5t27d/z69YuQkBBKlSpF1apVGT58OIMGDYrn5Pz16xebNm3C2dmZYcOGcffu3URTHlPLt2/fKFasWKqOff36Na1atUr3WHFcu3aNX79+pautj48Pzs7OtGnTJl21D1+9ekWVKlWA2HvGr1+/kEqlNGnShGXLlnH//v0Miaekhu3bt2NjY8OcOXM4duyYYE9W8OLFC6ZPn46zs3OyDs5z585hbGwsOjhTiUwmQ11dnWbNmmW3KTkCiUTClClTCA4Oxs7ODlNTU/r06cOtW7cwNjbG0tKSfPnyJavkfPToUaysrBgwYIBQl7Rfv35AbBr/ly9fGDRoEO3bt89RDpwuXbpw/PhxTp48mcDBCbElguIWlFxcXKhXrx7Xr1/n4MGDGBgYEBAQgK+vL/37909z9l3Lli2pVKmSkHWijCwZgB8/flC0aFGl9JWbMTQ0TJXiOiQtepRWpk+fTseOHalTp0662rdu3VopdoiI5CYCAgLYvn07b968AaBKlSoMHDgw3SJpYiSniIiISC5j8eLFzJgxI8UoLmVja2vLiRMnlN7v6NGjadGiBYcPH2bGjBlUrVo1wTFt27YlKiqKJk2aMGPGjCT7unbtGmfPnk1Q/+z+/fu0a9eOS5cuUbNmTaWfg0juJDQ0lLJly9K1a1eWLVsmRHOZmJgIjjMPDw/++ecfTp8+jVwuZ/369RgaGlKqVCmMjIyQSCT8/v2bJ0+eMHToUIoVK4apqSkdOnSgU6dODB8+nBkzZihVSDB//vyEhIQI94C5c+eyf/9+7t69KzgS/f39adq0KadOnaJUqVIZHtPc3JzHjx+nqc3p06dZs2YNXbt25ejRo7Rp04bJkycnefyTJ08wNDTE2NiYrVu3smPHDl6/fk2hQoUoU6YMrVu3ZsqUKYSEhNCxY0eePHnCggULOHHiBOrq6jg7Oytd9f3s2bNs3ryZa9eu0bBhQ06fPp1pDpojR45w4sQJYmJihG0hISGcPHky2QjSoKAghg0bxsGDBzPFrrxIXP3mPz2C898EBwfTo0cPzp07B/wvUjwgIICYmBimTp1Kz549ad68eaLtr1y5IqiSJ8WNGzf49OkTLVq0oESJEmmyLyQkRKkRjmFhYZQpU0bIKtm9e3eS4m5x59alSxcsLCwoVKgQb968Ye3atTRo0IDt27cnqhyeXoKCgsR5rUiOQfS3pIwYyZl+Hj16hJWVFfny5RMWB1xdXQkPD0/3vE10cuZCnj17RuXKlXPUKqiIiEjW8fnzZ8qUKZPlTk4bGxul1vzZuXMnFy9eRC6Xc+TIEfT19dm9ezc2NjYJjm3evDlXr15Nsc9r165x8uTJRNNqo6KiaNWqFS1atGDq1KnJRkWJ/Fm8f/+eCRMmoKWlRd++fVm8eDFjx45lx44dxMTECP+fqSUwMJB+/fpx8OBBpUXm/Jvly5cnW79t6dKlTJ06lRIlSrB379501TP6L1WrVuXChQupdtaGhIRgbW3NjRs3BMfjwoULCQ0NZdq0aQme2Tw9PWncuDH6+vrI5XJsbGwYNmxYqscbOXIkL1++5MaNG5w4cQJvb2+qV69Onz59mDdvHnZ2dmk631evXjF+/HhBLXrv3r1MnTqVqVOn0q1bNwBKlCihlPtIQEAAtra2NG/eHHt7+zT/z4wfP57JkydjbGycYVtE/mwWLFiArq4uY8eOTXS/RCLhxo0bSd5TVFVViY6OTjZavW3bthw5ciRNDuaIiAg2bdrE+PHjU90mKT59+kSPHj0wMjLC29ubd+/eMX78eObMmZPo8SEhIYSGhmJsbIyKigqnTp3i8OHD1KlTh1atWmXYuXnr1i2qV68u3BMvXbrEy5cvGTZsWLqc8BEREdlSVkNEuYwZM4bly5cn6XjPSv5Ef0taibtGGwM7kS+TnZzhQdGM0D2ZZz6Phg0bUq5cObZu3So8U8lkMgYPHszHjx+5detWmvsUnZwiIiIiuQyJRIKBgQGfP3/O0iiUNm3acO7cuWQjpS5fvsyFCxfo3bs31apVS+AAePXqFV5eXjg4OBAUFMTMmTNp2bIlUqmUs2fP0qtXL969exdPRfPUqVNcvXqV9evXp2ijj48PI0eOTFZIonz58oSHh/Po0aMsVesUyfmEhobSrl07oqOjmTx5MjY2NhlKLc9MkrKrdu3anDlzhgIFCnD//n22bNnCoUOHMjzes2fP6N69e6rU2AEqVarE5s2badSoUbztI0aM4NevX3h5eWFgYIBEIqFDhw7s2bOHhQsX0qRJk3TbuGjRIvbt20exYsWoUaMGly5d4vTp0zRv3pwnT56k+jnx9evXdOjQgefPnydwOK5YsYKPHz8Csc7xzp07M2LEiGT7k8lkLFu2jLCwMBYtWgTEirVcvXqVx48fc/78eTZu3JiuNPht27Yhl8sZOnRomtuKIJRgSUzU409l06ZNSCQShg0blmBf2bJl+fTpU5KLrBKJhMjIyGQDMcqVK8eHDx/SZFNoaCi/fv3i5cuXiS6EpoUTJ07w9u1bnJycCAwMpG7dukRFRfH792+8vLxQUVFBKpWiq6vLvXv3gNg6zVeuXKFQoUI8e/ZMaZH5crlciCqOS5dOyZGcGoKDg8mXL5+4mCuiFER/S8qITs70ky9fPp4+fUrFihXjbX/9+jW1atUiLCwszX2Kd75czrZt23j16hVr1qzJblNERETSQXomWPny5eP379/s3LmT0aNHZ5ZpCbCysmLHjh0MHjw4yWPMzMzo0qULgYGBXLhwAW9vbzQ0NAQV9GbNmiGTydi4cWMCwRcbGxtWrlxJx44dcXFxEbY/ePAAExOTVNloaGjIx48fCQsLSzQaKioqisKFC+Pk5ETbtm2FumEiIhCbunrt2rXsNiNVKBSKFFNumzZtys+fP1FTU0Mmk6XofEiO6tWrEx0djVwuT1VKeLly5RI4OIEEtYTj7gd9+/bNkIMTYMaMGfHKWaxYsQIAJycnLCwsmDZtGv369RPSXr9+/So4K169esWnT5+oUqUKQ4cO5efPn4k6CP4rYLF06VLatWvH7t270dPTS3C8vb097969Y8CAAXz79g1ra2u0tbV5+PAhffr0oU6dOkyYMCFdn8vu3bt59+4dy5cvT3PbPxlHR0du3bqFhYUFgOgg/g/Dhw/nxIkTbNy4MYEDv1evXixatAiJRBLP0SmXy4mOjmbUqFHcvHlTqIn9X8LDw6lWrVqabQoICKBdu3Z8/vyZoKCgdC8+ubu74+npyfTp0ylUqBBXr15l9+7dPHnyhFmzZiVYxIkbp3fv3ly8eJGYmBihfqYykEqlhISECHXnZDIZBQoUoGHDhhnqV1n1JfMacTWds1tcSCTvEoMqMZnsYoshV8coJqBAgQJ4eXklcHJ++fIl3fcy0cmZy2natClBQUHZbYaIiEg6SWsKJcSuFqqpqdGmTZtMsChpRo8ejbm5Od26dUty5dDIyIjz588zYcIEHj58SGhoKB8+fKBJkyZUqlSJXbt2JTuGo6Mjs2bNirdt4cKFtGrVik6dOiWqhP1fVq9eTZs2bbh582aCfT169GDVqlUULlyYsmXLptiXiEhOJrlIboVCQfny5ZFKpYSGhlKqVKkMR6U6ODgwcODAeN9jR0dH3r9/j6urK5qamigUCtTV1Xn16lWq+lRVVWXMmDEZsislqlatipubGxUrVmTMmDFUqVIFhULB9+/fCQ8Pp379+hQtWpT8+fOzZ88ezp8/j62tLXXr1uXJkyfJ9j116lQ8PT3p2rUrBQoU4NOnTwwbNowmTZpw6dIlChUqJNQ4BBg3bhxr166lfPnyQlRnerh58yY7d+7kxo0b6e7jTyUyMpIaNWrQu3dvjh07JtblTARbW1vOnj3L6NGjadOmDW3btgVif48XLFiAVCpl8uTJDBw4kLJly6Kuro6GhgbLly9nxowZVKtWjSJFiiToN24hIa0UK1ZMEHpL733M29ubvXv3smDBAiA2qjzOiRv3nPJvLl++LPwd59BVpoMzDmNjY2bOnMmCBQtQVVVl3LhxhIeHi/+XmUBAQAAaGhqik1NEJAfRvXt3Bg0axMqVK6lfvz4QK7I7adIkevbsma4+RSdnLidOMVhERCR3kp6H2L/++ouVK1emOrpRWaiqqtKtWzcWLlyYbORQgwYNyJ8/PwULFsTY2Jjy5cvz7du3FPuPizTr3LlzvO1SqZQFCxbQrVs3LCws4ilXJ0bBggUpXLhwgu2HDx9GX1+fevXqAYgPuSJ5mqNHj+Lh4cGWLVtQV1fn7NmzODo6Mm7cuHT3aW1tzcePH5k8eTLLly/Hw8OD06dPC9Fdmpqa3LlzB39/fxYvXqzEs8k4qqqqfPjwAQMDAyEFNSwsjJs3bya6YHTlyhXhXpESpUqVEmoG+/n5cfjwYdatW0dYWBh79uyJd6yXlxdXrlzJUH3jR48esX79etHBmU7iIje1tbXFNPVksLGxwcbGhtmzZ1O0aFFB/CEuijMmJobp06ejp6eHvb096urqaGlpsXjxYv7++282bNiQoM/KlSvz6dOnJMeUy+X07NmTI0eOIJPJUFFREYS4Pn78mO4ax+Hh4djb27Njx45EnaRPnz5NsP3fJXIyGlmZHObm5uzcuVNwvianYC+SMcqXL5/dJmQa4eHhHDp0iFatWlGsWLHsNuePJQYpMSh/MST+GDEpH5SLWLlyJRKJhH79+iGTyQBQU1NjxIgRLF26NF19ijU5RURERHIJp0+fRktLi1GjRqW6Lp4ymT9/Pp8/f2bbtm0ppqvOmzcPQ0PDFGvV/ZuNGzfy9evXZKObDA0N8fHxSbafzp07M2DAgAR1u2rXrs2DBw8E24cMGcKGDRtEETeRPMuPHz8oWrSo8L5z584cP348w/3Onj0bFxcXmjZtirGxcYKI9JcvXzJ37txka+NmBxERETRu3JgHDx6k6vhRo0ZRpUoVpTnCvL296d69O8ePH8fAwCBdfbx48YJ58+Zx9OhRpSvJi4h4eHhw9OhROnXqRIUKFYBYx2PXrl1ZsmQJpqamCdpcvXqVFi1aoFAo8PPzQ09PDw0NDWxtbTl48GCC4+vVq8f9+/e5fft2POdhQEAAhQoVolSpUnh6eiKXywXH4927dzE3N0dTU5PHjx+zb9++ZEt1BQcHc/HiRfz8/PDx8SEiIoJRo0bFux/GsXnzZhYuXIirq2u8Ot3fvn0Tyllk5nR57ty5/P333xlSjo+JiSEqKop8+fIpPaVeJHcQERFB3bp1efz4sdI/f9HfkjJx12hdYHfyFcjceUV4UBTjdA/nuc8jLCwMDw8PIDaQLyPCneLTkYiIiEgu4MKFC1y+fJmWLVuyY8eObLHhy5cv3LlzBz8/vxSPnTNnTprt/PLlS4qRUyVLluT06dPC++/fvwNw48YNpk+fDsROlCwtLeO1O3bsGLVq1YrnFOjfv79Yy04kT/PfCX2dOnWU0u/8+fP5+vUrr169om7dugn2L1q0iCVLlihlLGUSERGRplTXdevWsXnzZry9vZUy/tSpU9m1a1e6HZwuLi5MmTKFY8eOiQ5OkUzBxMSEadOmUbFiRaZNmwbEZlPs3LmTI0eOJNqmefPmQGzkZ3BwMACLFy/m69evPHv2LMHxHTt2pHnz5ixZsoTAwEBhu46ODjNmzKBDhw44OjrG+642aNAATU1N5HI5p06dQiaT4evrm6g9ffv2pWrVquzYsYPu3bszc+ZMFi5cmKiDE2IXZd+/f59AiLBYsWLCM8aPHz8SbZtRfv36xYkTJ1J0cLq7uye7QKWioiKocIsOzj8TTU1Nnj17Jn7+2UwMKlnyykvs2bOHN2/eoKWlhZmZGWZmZmhpaREREZEgGya1iJGcIiIiIjkcNzc3GjVqhL+/PwqFIlvVnp2dnZk9e3aqBHtsbGzQ0NAASFX0mIeHB506deLFixdJHhMREUGNGjV48+YNJ0+eZOzYsdSsWRN/f3+MjY05e/YszZs3p2rVqjx8+BBDQ0NsbGxYsmQJ165dS+Bc6N69O3v37hWjOUXyPOHh4XTp0oWTJ08il8uBWMX0oUOHUqhQIUxMTChevDgFCxbk6dOnrFq1SniuCgsLQ1NTM96qetOmTdHU1MTZ2TneOE+ePGH58uVKUXRXNh4eHlSrVo26desK6eUpsXr1an78+CGIGGUEOzs71q1bR8GCBdPc9p9//uHChQvx6nuKZAxRWT1xIiIimDp1KuvWrcPd3R1fX1+mTJlC5cqVqVatWqLXa9GiRfz+/ZsWLVpw//59xowZg66uLpaWljRs2DBB1OWAAQMoUqQItWrVonPnzkgkEqKjowXnpbGxcbKO/GrVquHk5JRobe24Z6TUTHG3bdvGokWLuHv3LsbGxoke8/DhQ2xsbJg3bx4vXrxIIJ6WEUJDQ1m0aFGS5T22bt2KTCbj8OHDFCxYECcnJ6WNLSKSWkR/S8rEXaPVgb2yJJJzgu6BPPN5SKVStLW12bVrV7ySZT9//sTY2FgoWZKmPpVpoEjOQSKR0Lp16+w2Q0RERAncu3cPW1tbgGxzcA4YMICJEycyb9483N3dU0wZh9jU8sePH6e6dqiJiUmyk/9Xr17Rvn17SpcuTaVKlfj69SuVKlXi1KlT3Lp1i0OHDvH27Vu0tLRQUVHh1KlTTJkyhTt37nDr1q1Eo6fKly+PhoYGkZGRqbJRRCS3Eh4ezqNHj7C0tGTgwIEMGjSI/v37M2TIEIYOHUr37t0xNzfn3bt3nD17ljZt2jBw4EAGDhxIy5Yt0dPTo0iRIrRu3RpHR0d8fHxYuXJlgnEcHBwyJKiTmZiYmBAaGsrv37+Fuk8p0adPn1Td71KDQqFIVLE9OS5cuEDnzp2pUKGC6OBUMnZ2dkRGRgrOTpFYNDU1Wbt2LTExMZw4cYJJkyZx+/ZtZs6cScGCBbGxseHz58/x2syYMYOVK1eye/duChUqxJw5cyhQoAD29vYULFiQYcOGERoaKhy/YsUKnj17RpcuXYTnGjU1NTQ1NSlevHiyDs6wsDCuX7/Ohw8fMDU1JTo6Ot3nOnv2bJ4+fZqkgxPAwsKCyMhIpFJpktGj6eW/KvX/Zd++fSxcuJB3797RqlUrpY4tkvdYsWIFhw8fJjw8PLtN+WMRIznTx7x58+jbty9z585VSn+i8FAe5uLFi9ltgohIjuf9+/c5uhD5mzdvGD58OOXKlcuyMVu0aIGamhr58+cHYifmx44dY8GCBbi4uFCxYkWmT5/Otm3bkuzj9+/ffPnyhY8fP6YprbJs2bLx6gYGBATg6urK8uXLCQ8PZ/fu3Rw9epQePXrw9evXBGnpxYsXj1cDrFq1aomKH8SxcOFCHjx4wLBhwxgwYACNGzdOta0iIjmNWrVqcf78eQwNDRPsmzhxIocPH46nIDx//nwqV64spJsCdOjQgXv37vH48eMEfcjlcmHR4O3bt5QqVSrBMeHh4YkKf+UUhg4dyuDBg1PtbNTS0lLahFFdXZ2QkJBU1d4LCAhgwIABWFlZcezYsWyN4M+raGtrCyJEIgmRSqVMnTqVqVOnEhAQgK6uLl27dqV48eKUKVOGc+fOYW1tLRyvoqIipLRPmDCBIkWK8PnzZzp16kThwoWZOnUq5ubm9OrVi61bt3Lx4kWCgoLiRSLF/Z8nV1cyLi3bysoKTU1NIROjWrVqDBs2DD09vXjOyDt37hAQEED9+vXR09MTtgcEBFCwYMEUI6FcXV1p2LAh7dq1Y+jQoURGRgpZKulFoVDQqFEjHj58SFBQUKLHbNmyhVu3blGiRAnc3d3x8vLK0JgieZ8bN27QtWtX4TsiIpJb6NOnD/Xr16dTp068fPmSvXv3Zqg/MZIzj6JQKDK1SLaISF6hfPnynDlzJrvNSJK4CMPkCuwrGz09PZydnTly5AhHjhzh6NGjKBQKZs6cCUDXrl159OhRom2dnZ2pV68eRYoUwcHBIc1143bt2oWFhQUtW7bE0dERc3NzNmzYwPz587lz5w4mJiZMnToVOzs7ZsyYwezZszN8vpcvX8bR0TFHpteKiKSFrl27Jhqx7OXlRXBwcDwHJ8Q6JKOiohIc7+npSY8ePShWrBgNGjTg7t27QKzTo1GjRsycOZPo6OhEnXWpdeJlNXK5nP79+9OoUSPGjBmT6nbt27dn3rx5SrMhNfdENzc3unXrxubNmxk+fLjo4MxEtLW10dbWzm4zcjRDhw6lePHiODs7I5FIMDc3p0+fPsnOM1avXs379+/R0tKiadOm2Nra8s8//1C6dGk0NDSEGtovX75Mtp/E7k8SiQQHBwf8/PzYt28fpUqVQl9fnxcvXjBq1CgiIiKEPps0acKRI0dYvXo1ZmZmDBgwgE6dOtG8eXNatGjB9u3bU/xO1qpVi8DAQEqWLEmzZs0ICQlJcExMTAyNGzfm+vXrvHnzJtn+AHbs2IGenh6Ghobs27dP2B53r4XYRZFLly6RP39+Zs+eTZcuXYRSIyIiiVG0aFGllFYRST8xqCDL5Fdei+SMe8apW7cuDx484MOHD9SvXz9BxkBayBFOzg0bNlC6dGk0NTWxsLDg4cOH2W2SiIjIH0S7du2y24QExKUojh49mg4dOjBz5kzs7e2z5AH3+fPntG7dOsm6U7Vr10ZHRwd7e3sgNkqicePG9OvXj+HDhzN16lRiYmIEZda0MnnyZM6cOcO9e/dwcHDAyckpRUGijHL79u1UTUxERHIyU6ZMSXTCfvr0aR4/foyNjQ1Dhgxh8ODBDB48GGdnZyFi+99MmzaNypUr4+npibOzM7NmzUpwTGLj+Pn5oaGhkeNEceRyORoaGtSpU4c+ffqkut3IkSMpVaoUlSpVUoodUqk0xXv4iBEj6Nu3LxcvXkw0IldEJKuxsbGha9euvHv3jqNHj6Ktrc3WrVtxc3NLtp2mpib29vZER0fj5uaGRCLh1KlT8RZiGjRoQIcOHRI4OlVUVAgMDEQikdCmTRsmT54cb//r168pVKgQnTt3Zvny5RQqVIj9+/fTvXt3mjZtSuPGjalWrRp16tRh/fr1XLt2jW/fvmFjY8PIkSO5evUqjx49SvWzxcqVKwkJCaF27doJFj2WL19O69atkUql+Pj4YGVlRaNGjahduzZjx47l9OnTrF+/nlevXiGXyzl27BhOTk60bduWOXPmMGjQIAA+ffpEtWrVhH63b9+Oo6Mjr1+/pnnz5tSrVy/Ze+vt27dTPI/IyEgCAgJSdc55kdTUh8/NdO/enaVLl2a3GSIiaeLf9/+SJUty7949SpcuTcuWLdPdZ7anqx8+fJgJEyawadMmLCwsWLt2LVZWVri7uyv94c7X1xd9fX2l9ikiIpK32Lp1K0OGDMlWG9q0aUODBg3YvXt3vIgoBwcHqlWrhqmpKSdOnMiUscPCwpg0aRKHDh1i+vTpjBgxIsEx7du3p3379mzZsoVGjRoRExPD06dP8fHxwcPDI8015xJDU1MzXnRDZjN9+nRu3LiRZeOJiGQlrVq1YvLkySxevFgoyRA3Wf6vojDEqoDHoaOjIygMp4RUKlXK91/ZqKioMHLkyDQJzIwYMYIDBw7EU3/ObDZv3oy+vj53794VozdFcgzt27fH2dmZ169fC/Uv45ScZTJZit/5mzdv0q5dO8LDwzl48CC/f/+Ot//q1auJiipqa2vz9u1bWrRoQcOGDYXt69atixdN2a1bN8zMzJgwYQK9e/emT58+vHz5knLlyqGpqRmvz3+LWqSWHTt2sHr1aq5cucKvX78YPXo0EDsx37NnD/PmzUOhUPD792+0tLTo3r07EBuFevXqVXr06MHIkSO5ceOGUAt52LBhrF+/Pl4mUb58+eItOn369Ik7d+5w5swZ2rRpw507dwQRuP86O2NiYlJV//zbt2/o6uqm+RrkFdLz+ecm3r9/T8mSJbPbjD+aGFSJyWQXWwx5K6J7zpw58ea7WlpanDx5kjlz5nDr1q109Znt6uoWFhbUrl0bBwcHIHa1vUSJEowZMybeQ3ZSiGpfIiIiGeXfKYTjx49n3bp1uLq6EhISkiC9MyuQSCQ8fvyYmjVrJrq/ZcuWBAUFMWTIEPT19Rk/fjzLly8XHqwzgrW1NTVq1MDKygpfX186deqUqna/f/9GT08vx0VwpZaxY8eioqJC0aJFE0SMiIjkZL59+8bff/8drxbtf6lcuTJv3rxBLpenyXn25s0brKysWLNmTaomh3K5HCsrKy5fvpzqMbKCxo0bc/PmzTS1kUgkvH37Nt0R6YkxePBgFi5cmKhjedKkSdy8eVPMZsoiHB0duXbtGp8+fWLQoEGiwnoqWLFiBZ06dRJqhG/YsIHixYvToUOHFNv6+voydOhQzpw5g76+PgMGDODKlSu4uroSGRkp1NX8L+fPn6dRo0bo6OgIdTrfvXvH/Pnzs2Qh9NevX3Tt2jXRRVC5XE7jxo3p1KkTPj4+uLi4YGxszMGDB+nWrRsfPnzgyZMn/P3334SEhNCxY0e+ffvG7du3cXJy4ufPn0meN8SWH/n9+zeenp5COv6RI0eE6/306VNq1KiBXC7Hzc2Nr1+/0rZt28y6FCK5BIVCgUwmo1WrVjg7Oydw9KcH0d+SMnHXaFHgYDQzWV09IiiKGbrbxM8jGbJ1NhoVFcXjx49p0aKFsE0qldKiRQvu37+faJvIyEiCgoLivVJLaGhohhT4RERE8ibu7u5IJBLmzJnD2rVrefz4MVWqVImXNpSVqKurJ4h0+DcXL15k165dbNq0iW3btnHq1CkWLlxInz59ePPmTapVgxNDR0eHRYsW0ahRo1Q7OAEMDAxyrYMTYtNze/XqhYuLCw4ODvFUYEVEcjIrVqxIsZ5sXCmGvn37pqnv9evXM3Xq1FRHvyxbtowePXqkaYzMpl+/fhQsWDBNbfbv30+9evWU6uCE2GirxDh9+jRSqVR0cGYhdnZ2rFixgm7dumFnZ5fd5uQKJk2aRJkyZZg0aRJSqRRdXV1mzpzJ8OHDk51fyeVyDAwM0NbWxt/fn1WrVhEYGEjp0qWB2OyVpKhZsyaenp4ABAcHA7F1wzt27Bhv/phZ1KlTRxj3v+zYsYOwsDC0tLRYunQply5dYt++fSgUCg4fPszjx49RKBSsWLGCZcuWoampiaWlJTt27MDf3z9ZB+fq1as5duwYRkZG9OjRgwcPHrB9+3b8/f05cOAAV69exc7OjkGDBrFmzRpu3bpF3bp1kz0XuVyeoedDkdyBTCajW7duTJkyJcMCWSJpR1RXTx8eHh6MGTOGFi1a0KJFC8aOHcvHjx/T3V+2zkh///5NTEwMRYoUibe9SJEieHt7J9pmyZIl6OrqCq8SJUqkejxtbW3U1NQyZHNOITIyUiw+LSKiJM6dOwfEKg1LJBKmTJmCqqpqPBXOrGLevHmsWrWKVq1aJXmMVCqlUqVKPHr0iHPnzlG9enXc3Nx4/fo1devWpVy5csyfPz9d4xcsWJBjx46l1/xcS9GiRYX6WWPGjKFgwYLUrl0bPz+/7DZNRCRZVq9eneIC7uzZs5HL5WmOfCpevHiaojJdXV1znMPo169fTJo0KU1tjIyMkr0HpxcdHZ0ECyjLli3j/PnzLFu2TOnjiSSNtrY2ZcqUYcqUKaLwUBoIDw9n5cqVNGzYkN69e+Pm5kbdunXZvXt3km2kUqmQ2q2trU3v3r2JiooSUtCvXbuWZHsjIyOqVKkCICxWGBgYsGzZslSX0cgIjRo1EhTj/8utW7d48uSJUOdXXV0dqVTKtm3baNu2Ldra2ri6ugJQoEABGjdujKmpaaqi6deuXYu6ujqBgYGoqakhlUrp06cP/fv3x8fHh3nz5jF37lx27NjB33//zdixYzEwMBDmhl++fOHly5fx7jcSiSTe2OHh4em+LiI5FzU1NU6ePEnr1q3FsiciuYKLFy9SuXJlHj58SLVq1ahWrRoPHjygcuXK6c4MynVhN9OmTSMwMFB4ffnyJbtNyhZkMpkYlSoioiQKFCgQb0X9ypUrQs2it2/f8vr16yyzZe7cuQwePDhdbc+ePUtQUBAfPnzg5cuXDB8+PM19bNq0iQsXLihNTTi30aRJEz5+/MizZ884fvw4Xbt2FSYG6urqiSq9iohkJ8nVwbxy5QobNmzg/fv36ZrszJgxgyZNmmBlZZWq46OionJcTc6XL19iaWmZ5jZVq1ZVui3/XZy+fPkyU6dOZdOmTUofSyRlHB0dxaj9NBJXN61kyZLCPcXOzo5nz57h7u6eYvu478Do0aOFUmUPHz6kWbNmabJj2rRpvHnzBolEwqdPn9LUNi3s2bMnyYhuGxsb2rdvn2Ax9PPnz5w/f558+fJx9epVJk2axJgxY3BxcUn1uMWLFycqKoqHDx+ybt06/vrrL1atWgXEllW6efMmHh4eFCpUCIgtybFnzx4kEgmXLl1i48aNvHv3jvr167N48WKioqIICgqK9zsQFRWFo6Mjjx49SlbhXiRzCQ4OzjThy/nz59OrV69M6VskcWKQZkEkZ65z4SXL1KlTsbe358GDB6xevZrVq1fz4MEDxo8fz5QpU9LVZ7Y+iRoYGKCiosLPnz/jbf/582ei9YoANDQ0xNBrEFedRUSUyJAhQxg2bFi8baVLl8bX15dKlSrRtm1bzp49m+l2zJgxg4YNG6Y74tzAwAB9fX1UVVU5cuQIqqqqTJw4kfLly6e6D6lUyvz582nfvj1z5sxJlx25nTJlygh/r1mzhvr16wvlTuJ+f3R0dPD3989xDh0RkX9z9epVli5dyosXL9Ldx7hx47h27Vqyx8jlchYsWEDt2rXTPU5m8e9nTF9fX86ePYuOjo4wqY+b9P97kv/48eNMsaVEiRLcv38fExMTfH196d+/v+hkE8l1yGQynj17xrp16xg3bhwSiYSZM2fSsWNHbt++newzjEKhwMTEhLdv33LixAkePnyIsbExhoaGyOVyfH19KVy4cIo22NraoqOjQ0hICB8/foz3u60M7t69Kyxw169fP8H+6OhoHBwcKFiwIJMmTWLBggWYmpoSHh7OkydP+Oeff3j58iU+Pj6sWbMGbW1tHj16lGQ5tv8yd+5cpk+fzuPHj1FVVeXFixfxFl5+/PhB586dcXd3Z/v27dy8eZMXL16wb98+JkyYwOLFi4HY6+Tj48OqVavw9PTE1dWVx48fc/LkSWrUqMGoUaOA2Lrky5cvV+ocO64GdGILbHK5HG9vb/Lnzx9PbOlPJH/+/FSqVCnJ/TExMXz79i1dgkKzZ8/O82JLIrmfN2/eJBoxP3DgQNauXZuuPrPVDayuro65uTlXr14Vtsnlcq5evUq9evWy0TIREZE/CYlEwrVr16hduzZPnjwBYgu6//79my9fvmSJg/PXr188efKEGzduoKKSvlor+/fvp1u3bsJ7Z2dnGjRoQLNmzdJU3sLY2JiCBQuKtZuAatWqERISgkKhQKFQEB0dzciRIzE1NUVNTQ2JRMLNmzdTJZQnIpLVxE10MzqJTO6e9OrVK5o3b46enl6OXBipUKECp0+fRiKRYGBggKenJ1++fMHT0xNPT09+/PghvLy9vfH29qZatWqcOXOG1q1bC/UAlcHkyZPZvXs3379/x8TEhGfPnqGlpaW0/kXSxsiRI8WggXSgoqLCrl27sLe3F7LKihQpgoeHh5C6nVzbuMhye3t7XFxcKFasGL9//+bJkyepEtFQKBS8ePGCOnXqoKenx8CBA5UeiWhpaYmrqysxMTGJqvsuWbKE3bt3c/r0aTZt2sSKFSuIiIhg8eLFbNu2jbp167JixQpq1arF4MGDCQ0NTVCeLTlatWpF+/bt6dSpE1euXEFLS4sGDRoA0L9/f5o2bUqlSpXYuHEjLVu2RFNTE39/f9q2bYu5uXm8vgwNDZk2bRqOjo40b96cmJgYNm/ejIuLC79+/WLRokU8fvyYOnXqKDWCXS6XI5fLhf+R+/fvM3DgQCB2Qd3Y2DjNv00+Pj5Ksy+3oKKikiHF9L1798YTMg0KCuLhw4f8+PFDGeaJ/AcZKlnyyksULlyYZ8+eJdj+7NkzDA0N09VntoegTJgwATs7O2rVqkWdOnVYu3YtoaGhDBgwILtNExER+YNo2rSpIPowevRooqOj2b9/PwYGBowdOzbTxy9cuDDfvn3LkHjPtm3b4i0atWzZEm9vbwYMGMDKlSvTpBouRswnjqqqKhs2bABii2SXK1eOJk2aALG19UJCQsRJs0iWIJFIUpzYSyQS1q9fj7OzMyNGjEj3WMkVf58yZQrnzp3Lkc66Dh068Pv3bzp06MC0adMIDg4mJCSE2bNnp9j277//5tOnT4wdO5ZixYqxfv36DEduS6VS9u/fT/Xq1Vm1alWqItZERHIitWrVYvLkyairq6NQKJBIJLx7944WLVoI75NCIpHQrVs3unXrJtQPNzIy4tixY4waNYqRI0cmW9v30KFDrF+/HltbW44ePcry5cvx8fFJkxMxKX7//o2TkxMTJkxgyZIlST6TBQUFCdGjhQoVomrVqgwbNoyePXtibGyMTCbDwcGB/PnzC8Jw58+fJzQ0FG1tbW7cuIGRkRElS5ZM8t65fPlymjdvLqRxvn79muLFi7Nr1y5evXpFWFgYo0aNYsaMGYwbN47nz58zbtw4xo0bh7a2NiEhIfH6k0qlhISEEBkZyfnz5zE1NeXixYsYGRmxevVqChYsKES+L168mBkzZgCxEfA/fvygYsWKaVqEl8lk+Pv7Y2hoiEKh4OHDh4wcORI/Pz82bdrE9OnTU90XxOpRGBkZ4eLiQp06dVL8PxOJRUtLi2LFitGwYUNu376NpqYmv379wtfXl6JFi2a3eSIiDBkyhKFDh/Lx40chcv7u3bssW7aMCRMmpKtPiSIHFOFwcHBgxYoVeHt7U716ddavX4+FhUWq2gYFBaGrq0tgYGCqVv9EREREcio9e/bk4MGD6Wo7Y8YM9PT0mDhxYoJ9t27dokOHDgwfPpwlS5akqr8uXbr8kQJEaeXTp0+ULVuW8uXL8/79e1auXJnoZyAikp2YmZnh5uaW4nHdunWjQoUKLFiwQNgWFBSElZVVommWx48f5969e0KtuJyEp6cnPXv25N69e/G2x31X08L58+dZsmQJrVu3Fib+6WHnzp2MGTOG0NBQsQaeSK4mOjqauXPnsnjxYoKDg4VanefPnycgICBVdQAVCgVSqZQbN26gq6vL8OHDefDgAXZ2dmzcuJF8+fIl2m7dunVoa2vTtm1bihYtStu2bTl27FiSx6eFOKdZaGhosgs3ST2vlSlThs+fPwOxNd0rVKjAt2/fsLS0JDo6msKFC1OgQAGePXtGmTJleP78ebz2NWrUEDKKnJ2d2bRpE7Vq1cLKyoo6deoIxzVt2pTHjx8THByMlZUVJ0+eRFVVFRUVFcER+evXLwwMDIQ2oaGh6OjoEBgYiEQiIX/+/NjZ2bFnz554NhQqVAh/f39u3brFli1bqFq1Kq9fv6ZLly60bt061SWVbt++LYhLyWQyIiIi0NHREaI7/72Y/vPnT1xdXVEoFJQpU4YqVaoQERGR4DMNCgpi8+bNTJo0iYiICDQ1NVNli0gsmzdvpnLlysLnklpEf0vKxF2jGYGj0SyQuYEiEUGRLNJ1yDOfh0KhYO3ataxatUoQlDM2NmbSpEmMHTs2XYsZOaJq6ejRo/H09CQyMpIHDx6k2sEpIiIiklfYtGkTjx49SlfbdevW8evXrySda40aNeLhw4eCijxAQEAAFStWZN26dcyYMSOe6rJMJhNXx1NJmTJlUCgUvHv3DoiNeAA4fPhwmkoEiIhkJq1bt04ykjssLExIKwwMDOT379+cPXuW379/06hRI8aMGSNEW/2bR48esWvXLlasWJHZ5qcLT09PqlWrBvxvgh0UFJSu76W1tTW3b99GRUWFevXqcefOnTT3ERoaysCBAwkNDRXuEyIiuRU1NTUWLVqEQqEgf/78wsJBq1atUiVABP9zKDZp0gQnJycePXpE9erVqVmzZrILEePGjWPw4MFCFNqYMWPYtWuXUkrsxAk/njt3DoVCQUhISAIVci8vL/T19RNtv337dgBev34tCBYZGxuzatUqTE1N+fz5M1u2bKFRo0bs3LmT379/8+zZM2bNmkXfvn0FBydAmzZtOHXqFLNmzYrn4IRYB2hcDeSLFy+yb98+QYU9rsb8pk2bOHPmDM2bN0cikQiO6BEjRnD8+HEAdu/ejVwuJzg4WDh3f39/VFRUaNiwIXv37mXKlCls3ryZnz9/MnbsWI4ePUpMTEyKQoz/dqSpqqoK40ulUsHBKZfLCQkJYciQIbRr14727dtjZmZG1apV8fLySlCzuECBAkyaNAmFQiE6ONNBhw4dqFixYnabkaeJQTVLXnmJuPIlX79+FcTFv379KtR8Tg85wskpIiIi8qfTvn17ChUqxO7du+nXr1+qVLx9fHzo0aMHwcHBbNmyJdljS5UqRVBQEGXLlqV27dpUq1aNDRs2sGfPHl6/fs2GDRvQ0dFhz5493Lt3L9ki6CKJc/nyZbZs2YJEIqFHjx6oqKgwZMgQHB0ds9s0kT+cFStWEBMTw+3btxPsGzJkCKamprRu3Zp8+fLxzz//sGHDBrp27UrVqlV5+PBholEfz58/p2PHjhkqsZGZ9OzZU1CFL1OmDA0aNKB48eK0bNky3X1OnTqVmzdvcuDAAdq1a5dqRdwXL15gYmICxEYs6OnppdsGEZGcxuzZs5k7dy4BAQGoqqqipaXF06dPU9U2KiqKfPnycfbsWYoVK0a+fPkwMzNj//79LF26VFBO37hxIxs2bCAiIiJBVLqZmRkjR45USr3GuAWdOCfm169f+fnzp/BMFh0dzfr16xPUHo2IiMDBwYFKlSohl8vZtWuXUItSIpHQsmVLrl27hr+/PxUqVODMmTPUqFEDfX19/vrrL/7+++80OWk1NTW5evUqfn5+3Lp1iyFDhgCx6fabNm3iy5cv6Onp8fHjxwTCcQcOHKBEiRLExMQI9vn7+yOVSoVoyv/aoqmpyeDBg3F0dEQikbBo0SI0NDTQ19dn7969eHt7p9r2fyOVStHR0eHgwYPcunWLd+/eoa+vT506ddDQ0EgQyRkSEoKpqSmlS5emVq1a8c4tMDBQrCWfAkZGRujq6vLlyxcg9pqJiOQklCVGliPS1TNCVoVPV69enQMHDlC5cuVMG0NERERk6tSpLFu2DCMjo0SLggcEBLBs2TLevHmDtrY2U6ZMEaKVMsrXr1+pWLEiY8aMoX379qIAXDoYNmwYW7Zs4e7duxgYGGBqasqECRNYs2YNAMWLF2fJkiWEhISwd+9eSpUqhbu7O0OHDhWiL0REMou2bdsyYMAAunTpImybNm0aL168YP/+/RQsWDDVfR08eBAfHx/GjRuXCZZmnHz58hEZGYmenh5VqlRhw4YNmJmZER4erpQIIB8fH0GZeOvWrcleu7Jly/LkyZM0XV8RkdyERCKhaNGifP36FYi9r9jb22NkZJTqPqKioujZsyd6enpMmDCBkSNH0rhxY5ycnHj16hX9+vXD29ubrVu3YmxsLLQ7dOgQCxcuZMSIEfTu3Rs/Pz8ePXqEoaGhUDMbYqMGU1qUKVeuHJ8+fUoyo2Xr1q1cunSJo0ePCtvWrFkj1I0bPnw4Gzdu5NmzZ6xdu5bt27enW0wy7prs27ePL1++oKGhweXLl2nevDnBwcG0atUKS0vLeOnju3btYvny5cICzNChQ3FychIcwIGBgejq6mJlZcWFCxcA2LNnDxs2bOD69etprq18/fp1Ro0aRceOHYmKiqJ///5UqVIlTdFX4eHh/Pr1i5IlSxIVFUVISEiSC0FxTtBWrVrx/PlzYmJiaNWqFfv376dw4cK4u7uTL18+dHR0KFSoUJrO5U/k+fPnVKtWLcXPS0xXT5m4azQ5cCIamZyuHhkUyXLdVeLnkQw5c/k9B/LkyRMqVarEhw8fstsUERGRPEy/fv2oUKGCUND+35w+fRpra2vatGmDk5MT+/fvV5qDE2JV7AYNGsSHDx/EsiHpZPPmzSgUCurXr4+pqSkAq1evxsPDgyVLlvD06VNKlSpFixYtuHDhAgcOHODRo0d8/vyZzp07i78xIpnKuXPneP36teB0h1iV4AoVKrBs2bI09fXjxw+KFy+ubBOVxsuXL1FTU+P379/cvHmTypUrM2DAAKUJLRgaGnL06FFGjRqFpaVlksdFR0fz/ft30cEpkqeJiYnhx48f/PXXX0ilUubNm8eKFSvSVHtWXV2dZcuWCZGQb968oXLlymhrayOTydixYwfu7u7xHJwQW0N86tSpfPnyhaVLl3Ly5EnevXvHlStXhGP++ecfLC0tmTZtWrIRnx4eHkyYMCFJp4+pqSnNmzePt23p0qVERUUxe/ZsYXG4evXqfP78GWNj41SXyBg6dCgLFy5k8eLFzJ8/n+DgYDp27MigQYMIDw9n9OjR9OjRAz09PebNm4erqyvz5s1j6dKlwnXu378/mzZtwsLCAm1tbezt7fn586dwLXR0dJDJZFy8eJGPHz9y79497Ozs2Lp1a7rE45o2bUq1atVYvHgxy5Yt4+TJk1hbWzNv3jwiIyN5/fq1IIAUJ+75X/Llyyc4NWUyWbKR7qampujr6/P48WOeP39OjRo1aNCgAYULF2bgwIFERUVRv359vLy8ErS9desWYWFhaT7HvMxff/0llqcSyZOIkZz/j0KhQC6XJ7vaJpPJMqysKSIiIpIccQ8bPj4+8ZR3T548Sbdu3QgMDMwUFeOoqCjatGnD5cuX6datmyg6lA1ERUXRvn176tSpk2gNRBERZSGRSNi9ezfdunVj06ZNeHl5UaVKFQYNGpTqPiZMmEDLli1p06ZNJlqaMaysrLh48aLwvlSpUtjb2zN+/HiljhMn1JEYEomEFy9eYGZmptQxRURyGg4ODnz+/Jnly5cjlUrx8PBg1apVzJw5M4FjMilu3LjB06dPGT9+PBKJhJiYGAICAnj+/Dna2trs2LGDtWvXpigyJJfLad68OY0bNyY8PJz8+fMzbNgwFixYgIaGBiEhIZQsWZIpU6YI0Z0xMTHo6+tTvHhxXr58KWz799wwICCA7t274+XlhZOTExUqVGD16tW0atWK1atXs23bNqG/uOhWd3d3Hjx4QIsWLZK12cbGhjNnziCRSKhduzZWVla8efOGEydOULduXX7+/Im5uTlmZmZcuHCB2rVr06dPH1xcXPDw8GDt2rUJPo8xY8YIehc1a9bk8ePHQKzDLy66fdy4cRlKD+3Ro4egIB/Hhw8fuHDhAp8/f2bnzp04OzujpqZGeHg45cuXj/d8qwy8vLzo3LkzHz9+xN3dHX19ffr27cvixYspWbIkEOszWLx4MUuXLlXq2H8CYiRnysRdo4mBk7MkknOV7nLx80gG0cn5/ygUCqKjo1FXV0/ymKioKNTV1QkJCRGKJ4uIiIgoA7lcjpWVFXZ2dsydOzdBRJ+trS1r164VHtaUTZ8+ffj+/TsrV65k8eLFopMzG9m9ezc7duzg3LlzGf6tkcvl/PPPPzk2pVgk++jTpw+enp60aNGCQ4cO4ebmluqFXJlMRrt27XB2ds5kKzNG165dhbRSIyMjtLW18fDwUPo4Dg4OXLx4kaNHj8ZLhQ8PD0dLSyvXKqnH1RMeOXJkNlsikluJjIykVatWXLhwIVXq55s3b6ZOnTrUqFEjwb64eVhq8fPzSzYq8NSpU5QuXRpTU1N27NjBz58/+fDhgxAlqKmpmWiKu4eHByEhITx69IhBgwaxb98+KlSogKurKx8+fGD16tVA7D02LCyM7dtr8YzsAAEAAElEQVS3c+rUKfr375+svR8+fGDChAno6OgQFhbGsGHDaNWqlXBfjnsOLFGiBBA7d3VycuLMmTP8+PGDEydOoKmpKSyWR0dHo6+vT3BwcLxx3N3d+fHjB40aNVJKFF+XLl2SfWb09/enV69eQnq8u7u7kOmibDZt2sSIESN4/vw5pUuXFh1ASkJ0cqaM6OTMWYhhif+PRCJJ8Yczbn9ecHA6OTnRsWPH7DZDRESE2AdVKysr1q9fz19//ZVAJV0ul/Pt27dMc3ACfP/+HVdXV7p16yamqmczdnZ2tGnThpYtW3Lz5s00Ter+S5zggYjIf4lLaWzbti1z5sxJdbvdu3dz5MgRpk2blonWKYfw8HBBPf7nz5+Z5mwcPXo09evXx9rampkzZ9KsWTMcHR0ZNWoUrq6umTJmVmBnZwfERq+J6fYiqSUgIEAQjdHQ0MDa2hp7e3scHBxSXEiJjo5OspZiWn8LUxL4MjY2Zu3atZQpU4aBAwdSvHhxjIyMWLVqlbBYkVgNzzgRserVqwslfrp27Urt2rWxsbFBQ0ODyMhI9u3bR+nSpdHT06NBgwYpOjnLlSvH6dOn8fX1JSoqCqlUioqKSpL3LYlEQqdOnWjbti0nTpygZ8+edO3ald69ewOgpqZGzZo18fLywtjYmC1btlClShVB9f3ly5dUqVIlWZtSQ0p1TgsVKoSzszM/f/7EyMiIZcuWUb16dcaMGZPhseNwcnJCJpPh6elJvXr1mD17NpMmTcLFxQVtbW2GDx+utLFERJIjBikxpL8Ob2rHyGu4urpy/fp1fHx8EpT4iFs4Sgt57wopmaCgICEEPywsTCiondsRHZwiIjmHHTt2MHz4cCpVqoRCoWDjxo00btyYdevWAXD//n2l175zdXXFxMQEiUSCVColIiKCfv364eHhQbt27ZQ6lkjaMTQ05ODBg+jr6xMQEJDufiQSiSiYJ5IoOjo6PH/+nOXLl3P37l0gNsKmRIkSfPv2DYBOnTrRsmVLIZVx1KhRnD59mlOnTtGoUaNssz21GBsb06hRI/Lnz8+AAQMydayaNWty6dIltm7dyogRI/j+/TtVqlShVq1amTpuZuLi4sK+ffsoVKgQW7duzW5zRHIJBQsWjBe1OWXKFCZOnEj//v1TnEdFRERkWY1Ac3NzHBwcmD17NsWLF+fDhw98/vyZXr16pdg2JiZGEPxRVVXF19cXiK2dbm5uDkDPnj3x9PQEoHTp0qm2S19fn6JFi1KkSJEkj/H392fVqlVArPO3R48eHD16FC8vr3h1J2/cuMG7d+9o2LAhxYoVQ6FQoFAoWLBgAVWrVqVevXqsWbOGXr16ZXrEeZEiRVAoFEyZMoWHDx+yatUqoqOjBaXv5IiMjEy2tmmcINTSpUspX748gwcPxsXFhYkTJzJ8+HBatWqVofNzdXVNVAxUREQk4yxevBgLCwt27tzJo0ePePr0qfB69uxZuvoUnZzEFkJ+/fp1ovs0NDQoX748AFpaWhQrViwrTRMREfkD+Lcohb+/PwEBAZw6dYrt27cTFBTEwIED0xRplRLGxsbUrVsXa2trvn37hlwu5969e2zYsAGFQkGPHj2UNpZI+ildujSenp6MGjWKjRs35tqUV5Gci6qqKkeOHKFz584sXLiQwYMHU6VKFapUqYK1tTXv37/n4MGD6OnpsXDhQgoUKMDx48dzTX1yf39/bt++TUxMDDt27Mj08VRVVTl48CBt2rRh0aJFghBGbqVJkyYMHz6cs2fPYmVlld3miORiypcvz6ZNm/j777+5fft2kseVLl06yfq2ykYqlaKtrS2837JlCzExMSk6WT08PNi9e7dQw9jQ0FAogyGVSnn37h2TJk3i5MmTAKioqLB//36l2u7l5YWGhka85wI1NTWaNWvGrVu34h2rqqrKkiVL0NXVFbbNnDlTePZr2LAhBw8eRCqVIpFIkEgkdOvWDTc3N6XaHIepqSl79+7lr7/+YtSoUdjb23P//v1k24SGhjJ//nyGDh0ab7tMJsPX1xcLCwtWr17NiRMn6NSpE+3ataNp06bCcf++f8XExPDp06d4/SgUCi5fvpzk+EFBQfz8+TMtpynyhyJDJUteeYl169axY8cO3rx5w40bN7h+/brwunbtWrr6FJ2cQJ06dZKMdNHQ0BBW5ABRgUxERETpzJo1S4gyiiuHUbBgQdavX0+NGjUYPHiwUlTUXV1dkUgk6OnpERMTwz///JNqMQCR7EFPT4/9+/dz6dIlmjRpIkxARo8ezfLly3O1A0Uk5zBgwABWrlyJRCKhTp06BAQEYGFhwYsXLzAwMGD69OnI5XKWLFmS3aamCX19fb5+/ZpiOqWy2bBhAwATJ05EQyNza3Mpg7CwsAR1+yDWORMTE0Pbtm0ztVyKyJ+Bjo4OBw4cwNXVlWbNmhETE5PgGLlcjoaGBjKZLNPtefv2LYGBgcK4rVq1iuf0jBPp8fHxwcvLS7C3cOHCODs7CxFGp06domzZskI7Dw8P9uzZw5AhQ2jQoAExMTFMnTpVqbb/9ddfjB49OsG81MLCgsqVKxMeHp5iH3HPE7Vq1RIEeGvWrAnA0aNHqVatGhKJJFV9pYcWLVqwe/dudu7cSbVq1ZDL5UlGbfn7+zNgwAC2bNnCzJkzhSzLHz9+0KtXLwIDA1myZAlubm60b9+eL1++COcCsffiKVOmcOXKFVRUVChVqlSCa5FcaZ+fP38q5TlcREQkIVKplAYNGii3T6X2JiIiIiKSZuRyOWZmZvz+/Tve9iZNmuDh4cGkSZOUMs6QIUNwdHQUVENFcg8nT57k5s2bKBQKZDIZDg4O2NjYMGrUqOw2TSQPEBflU6RIEebPnw/AnDlzBOfgsGHDmD17dnaamC6mTJnCokWLsnxcPz8/njx5kuXjphcvLy8WLFiQ6L6sdhBnFo6OjvTo0QNzc3MxWyELUSgU6OjoCNGFUqmUCRMmsHz5csaNG4e/vz9+fn58/vyZhw8f8v37d0qUKMGzZ8/4/v17ptoml8uF6EapVJpA/TwuyOXz58+cOnWKb9++4evrS/78+Tl9+jRHjx4lOjqaAgUKEBoaKrTT0NDA19eXZ8+eCaVALly4QI0aNZg/fz4+Pj6pSsEMDw/ny5cviTqD40gsw+PZs2f8+vWLHz9+cOHCBaGGKMQ6C1VUVBJ12EkkEh4/foxCoeDRo0fCdi0trWTtzMg9Qk9Pj5cvX6KtrY1UKqVu3brcuXOHrVu3smPHDm7fvs2VK1dwc3NDJpMxb948Fi1ahJ+fHzt37mTixIkcPnyYIUOG0LhxYwwNDZFKpYmWeLp79y5///03/v7+abI5Ojqajx8/MmPGjHSfp8ifQwyqWfLKS9jb2wuLw8oib10hkWQ5e/Ysbdq0QUUlb4U4i4jkdqRSKePHj+fEiRMJUnGUhVwux93dnREjRmRK/yJZR9w9vHLlyolGX4mIpAd1dXXc3d0B+P37N3K5nKioKKKjoylVqhQRERGEhITEmxzKZDJhUpkTKVOmDCEhIVk6plwuR09Pj507d/L27Vuh5FFOJjg4mDZt2nD8+HE6d+4cb59CocgTWUx2dnZ06dKF0NDQeNF6IplLnOPsv2JCcdGD5ubmREdH8/XrV4oVK0a5cuUYOXIke/bsQVtbO1XR4wqFgj179qCmppZoPc1169ZRqlSpBHoE7u7uqapZXadOHerUqUN4eLiQzl65cmVKlChBo0aNMDc35+zZs0yYMAEATU1Nbt26RZEiRbCzsyMgIEBwGlapUgVLS8tUCTzKZDIKFCiQ7LwtTtH535QqVYrhw4dz8+ZNwsLCGDx4sLCvVatWyOXyFFPRzc3NUSgUlCtXDg8PDyIjIzMlKv3GjRvcu3ePXbt2Ub9+fQICAtDU1OTJkyesXbuWJk2aYGxsTK1atZg6dSrGxsZcvHiRd+/eoaury/z583n9+jUNGjRg3rx5yQrizZw5E2traxo2bIibm1uq72tqamr07NmTK1euKOu0s51r167RrFmz7DZDRASAv//+m7Zt22JiYkLlypWFesdxnDhxIs19ShS5vMhX3M09MDCQAgUKZLc5IiIiIumiePHiPHv2DAMDg0zpv1u3bkRFReHk5JQp/YtkDytWrMDS0pJ69epltykiuZyRI0eyceNG2rZti46ODioqKmhpaREZGUlYWBhqamrky5cvXuRQTEwMz54948WLF9loefJ07dqVo0ePZtl4Li4uXL16lZkzZ+Lk5ESHDh2ybOz04OfnR0hISJLp6HnFKejo6IidnV2eOJe8xPnz57l48SL16tVj8+bNqKurc+nSJVq2bMnnz595//49kyZNYtq0aeTLl4/w8PBE1dcvXrzI/fv3mTt3boJ9V69exdDQEDMzs0w5h7t379KjR49EBXRkMhlSqVRYCLp58yY3btxg2rRpREdHZ9r/o0wmo1OnTjx+/JgvX74IjtIiRYrg4+MDxC7IpOToCw4OpkCBArx69SpJh3CPHj2E9PGM8OjRIw4fPkxISAgdO3bExcWF0aNHM2bMGA4ePEjfvn2ZM2eOEJm6a9cutm3bRtWqVXFwcEhVrehJkybRokUL9u3bx5o1azLtmTu3ERgYmMBZ/m9Ef0vKxF2jYYHzUS+gmaljRQVFsFl3dp75PEaPHs22bdto2rQpRYoUSXBf2rlzZ5r7FCM5RURERHIA586do1mzZsyePZsuXboovf/atWsnW1RdJHdiaWnJrFmz8lSEgUj2ULZsWdq1a8fp06fT1K5ixYqZZJFyiIqKQi6XZ1m0qbm5ubDo0LFjxxwvGKarq5tsbV/RKSiSmVhbW2NtbY1CocDMzIx169Yhk8lQUVHBx8cHVVVVIiMjmTt3Lp6ennh5eXHt2jVBrDEOKysrKlasyLp16xg8eHC8/9vmzZunypaYmJh0ZbsFBQXh7e1NaGgokZGR6OnpCfv8/PwIDAwUIrobN25M48aNiY6OThCtlFZevXpFlSpVEt2nqqrKmTNnEmyPc3BC7AJGXB34pMifPz8LFixI9j7g7e2dSouTp1atWtSqVQuILZcycOBA9PX1OXDgAK9evWLu3Ll07NgRNzc3NDQ0GDx4MJcuXUoxnf7fzJgxg169etGrVy9sbGy4fv06+fLlU4r9uQ1vb2+MjIwA/thrIJIz2L17N8ePH6dt27ZK6zNn5heJiIiI/GFUq1aNAwcOIJPJ6NChAwEBAUrr297ensmTJ4upKXmQevXq5Xgnk0ju4O+//6ZgwYJpVpCtUKECb968ySSrMs7IkSPp1KlTlol0qampsXTpUipUqJCjI1zjUFFRESa6eZmRI0eKDtscTJEiRWjWrBnfv3/Hz88PiFUt19PTo2jRoqxbtw4nJydu3brFoEGD2LJlC9HR0UL0pEKhoHnz5jRs2JBZs2Yxfvx4zp49i0wmS7amJcQuhISGhqZ4j3jx4gW+vr5cvHhRsBFihSL37NnDhQsXEkQgGRoaJlqyQk1NDXV19UTHiRNDSoqgoCAePXqUqIMzLfVmU3JwxjF16lSaN2/OP//8k+j+d+/epXrMlNi4cSObNm3i6tWrnD17Vtj+/PlzypYty4sXL1AoFERERODg4JAmByfEflYdOnSgcOHCNGvWjGHDhqGhoYG9vT2RkZFKO4/cwL/v+0n9L4qknRhUsuSVl9DT04tXO1gZiOnqIiIiIjkER0dHIDb6Z9SoUZw4cSLDtdAiIiIwMTHh27dvyjBRJAcikUgICAhINtVIRCQ1hIaG0qdPH06ePJnqNt7e3lhbWycrtNO5c2dUVFT4/v07vr6+We4UdXV1Zf78+YlGNmUWderUwcTEhIMHD2bZmGlFoVDg5uaWatXgly9fUrVq1Uy2SuRP5MmTJwwePJgmTZpQpEgRTp8+zcGDBxMto3Dnzh3hfiOVSgkLC+Pt27fky5dPEK+IiIjg3r17ODs7s3LlSurXr4+xsTFVqlRh/fr11KtXD1tbWxo1aoSDgwPr16+nVKlSHD9+HF1dXcqVKxdvzHv37lGoUCFUVFQ4dOgQLVq0oH79+sL+Zs2aMWjQIDp06CA4D8PCwtLshEsKhULBuXPnqFmzJlKpFC0trQTzXplMhq2tLdWqVWPWrFmJ1tDU19encuXKVK5cmc2bN6d6fAMDAwwNDdHV1WXr1q3o6OhQunRpAEqXLs3nz58zcnpAbPp8gwYNOH36NAUKFEBNTS3TIvAPHz4sOIRdXV1p3rw5VapU4ebNmxmOsM2LiP6WlIm7RoMDF2VJuvo23RmYmpqioqLCqFGjcrUQ6c6dO7lw4QI7d+5U2j1TTFcXERERySHY2dkBsemB/fr1Y/v27fEKxqeH+fPnU6FCBWWYJ5JDGT16NC9fvqRBgwbZbYpILicu0i0tk3MjIyOCg4P59OkTZcqUSbBfLpcTEBDA1atXAWjbti3dunUT9uvr67Nx40YlWJ80tWvXpmLFity4cYMmTZpk6lhxFCpUKMffeyUSSaqjG2UyGQ8fPsz1Tk5fX18MDAxyfBmBP42aNWvGWyiJS1GOEz77d71FS0tLLC0tk+1PU1OTZs2a0axZM8qXL8+0adO4d+8eCoWCDh060L17dy5duoSRkRHLli1j9erV2Nraki9fPsHBKZfL8ff358GDB/j5+REQEMCoUaOYPXt2gvF69erF/Pnz8fb2pkWLFjg5OTFz5swMXZN/i375+vpy9OhRbGxsEj327du3tG/fnvfv3+Pm5sa8efMSPc7X1xdPT09KlSqVahsePnxIpUqV8PLy4s2bN5iZmfHy5UvhmDp16qT6nOrXr8/YsWMTjTiVSqXo6Oiwb98+7O3tU91neggPD2fatGnMnDkTLS0tbt68SY0aNVBXV0dLSwtbW1tevXrF9evX8/wC8pkzZ7CysooXzRkVFSVGd6YTGSpIMznSUvb//bu6uuYJp/P69evx8PCgSJEilC5dOsFCQ3KL6EkhRnKKiIiI5EDkcjnW1tZcuHAhQ/1YWloyefJk2rdvryTLRHIaEokkWVEAEZG08OLFC06cOJGogEdSXL58mdmzZ3P//v0E+1atWsXTp0/Zt29fom2bNm3K9evX02tuqgkLC6NXr15ZJr7WtGlTLl26xNixYzPdiSuSNl6/fi3eL3M4oaGh3Lhxg5iYGJ48eYKvry/W1tZUqlQJS0tLvn37xuLFi7G1tcXU1DTFrBdbW1sqVqxIqVKl+P37Nz4+Ptjb2wvRiInx+/dv7O3t6du3L/r6+pibmyc7RkxMDDKZjNDQUB49ekTTpk3jTdajo6NRVVVN1NbPnz+zbds2wsPDuXnzJvfu3UNfX5/58+cLDj+ZTCY4e0+cOEGxYsWoUaMGqqqqQi1RMzMzbt68mag4U3qYPXs2LVq0oFq1apiamvLixYsE5S26devGkSNHEm0fGRmJRCIhf/788coBrF+/njFjxiQ4/tmzZ9SoUQNHR0dGjBihlHNIDC8vL/T09NDR0WHy5Mls3LgRPz8/hg4dyq5du5gyZQrLli0DwNnZmdatW2eaLTmR27dv07BhQ+G96G9Jmbhr1D9waZZEcu7SnZpnPo+kFmXimDNnTpr7FJ2cIrmCpUuXUrlyZdFRI/JHsXnzZnx9fZk+fXq6+4iIiKBYsWL4+voq0TKRnIREIsHPz09pk5rcREBAADNmzBBSFEWUg0QiSXOkm5mZGdbW1hQvXpy9e/cSExODgYEBL1++5Pnz54mq2Mrlclq1apVlwlk9evRg9erVGBsbZ/pYCxcuZNasWRQqVChe/T4REZG0Ex4ezr1793B1daVx48acOnUKOzs77t27x5UrVzA1NWXixInJzgUfPnyItrY2WlpaSKVSRo8ezcmTJ/Hx8UFHRyfRtnFOSx8fH8qVK4dEIkm1kFlcNJy7uzumpqZ8+/YNIyMjVFVVCQ0NRUNDQ3BO1qlTh3LlyqGhoUHHjh1p164dKioqREREALGRqXFER0dTqVIlmjZtyrp169DS0mLEiBFs2rSJbdu2MWjQoLRe3kQ5efIkWlpaWFlZERgYiJmZGa9fvyYqKorZs2czceJEypQpQ48ePThw4ECi12TMmDE4ODgAsfffunXrEhISwsyZM7G2tub8+fO4uroKgkMQ6+C2trambt26LFy4MNPTx+3t7dm2bRtSqZR27dpRokQJlixZQkhICMbGxgQHB1OsWDFOnz5NzZo1ATh//jzW1taZald2sXTpUqZOnRpvm+hvSRnRyZmzEJ2cIrmCoKAg8fMV+SPZsWMH4eHhGaq1MnjwYAYNGiQo/orkLSQSCSEhIaKohojSOH/+PF+/fmXo0KGpbhMQEMCCBQsoVKgQgwcPTrWYTWZFcsbV5Lt//74wMQ8MDCRfvnycOnVK6eP9l2LFijF+/HiGDh2a59MdRUSym4CAAJYtW8b9+/e5efOmsL1z5840atSICxcuUL16dYoWLcro0aORy+UULFiQtm3b0qhRI/z9/albty537tzh169fKBQKChcuzPnz53n79i1dunQhKCiIsLAwIiMjmThxIvXq1WP9+vVC6raKigozZ84kMjISqVRKQEAA6urqWFpaoqWlRVhYWDybLS0tkUgk9O/fH7lczuDBg/n58yc/fvzg2rVrtG7dmhkzZnDt2jXWrl3L+/fvefr0Kc7Ozvz+/Ztdu3bx999/4+npSenSpZk7d266Ip6Sol27dgwZMoRVq1bx5MkTQkJCmDt3Lrq6uty4cYORI0fSqlUrevTowb59++KVFAAYN24cW7ZsISoqCjs7O3bs2JFgjMDAQEG4qW/fvvH2bdmyhZIlSyaIovTz80OhUPD27VsCAwOxtLTM0BzxzJkzHD9+nN27dwvbhg8fLkTg7927l3HjxuHv78/ly5epXbs2w4YNo23btglshtjSAblZEDJOdV0mk6FQKFBTUxP9Lakg7hr1DVyBeoHMVauPCgpnr+4k8fNIBtHJmQxRUVEcPHhQqJMnkn1ER0cDJJnmISKSV1EoFFhaWnL37t109xESEkL9+vU5depUojXzRHIvZ86coX379qKTU0SpREdH07Vr1yxJ7baxseHQoUOpVvpNLZUrV6ZHjx7Uq1ePevXqCf2PGTOGR48eYWJikmQKvTIoX748LVq0YOXKleJ3U0Qki/n8+TMFCxZEXV2dw4cPc+7cOUaMGMGGDRs4efIkhQoVwt/fn0OHDrF//35+//5N586d2bhxIx8+fMDIyAh9fX169erFzJkzhej2ihUr8vbt23hjPX36lKpVq7Jnzx7Onz/P8ePHKVeuHF+/fiUiIgJ9fX0qVqzIkydPWLZsGdu2baNz5860bNkSd3d3XF1d0dHRQVNTU4h4f/fuHRYWFvTp0weITYVXKBQJHIkQ+5wol8uFqFBlceHCBUqVKsXFixdp1qwZBQoUiJfef+DAAQwMDNi2bRuHDh1KEMl57do12rRpQ1RUFL17907yfhsZGcnkyZNZtmxZvIjVoKAgBgwYwMGDB+PVh1QoFLx48QJNTU1sbGwwNDTkypUrqKmpJXp9UsuTJ0/ilSRo3769sCAWHR2Nuro6xYoV4+vXr1hYWCCTyXj06FGCeenLly+pUqVKrp+vrl69mpIlSwoOftHJmTyikzP9SKXSZL8vMTExae5TdHKmkn8Xf87JvHz5kpkzZ2ZZzamsIiYmhpiYGDQ0NHj48CF16tQRi8aL/DEsXbqUqlWrJllwPjV4eXnRt2/feBEOIrmfIUOG0KdPHxo3bpzdpojkEcLDw9HS0uLAgQP07Nkz08fr0KGD0iMrDx8+zM2bN3F0dEzymKFDh/Ly5UscHR2pXr26UseH/02YxWcVEZGcR0xMDMeOHaNdu3Y0atSINm3a8Pz5c86cOSMc4+Ligre3Nxs3buTVq1cUKFCAyMhIPDw8WLVqFVOmTEFLS4v27dtTrlw53N3d0dLS4sOHD9SvXx8zMzNMTU2TrOU5Z84cduzYwZcvXwA4d+4cN2/epHTp0rRv357ixYtnybXICFu3bmX79u24uLgk2KdQKFi3bh0nT57k3LlzyS5kLVq0iHv37tGpU6d4gpvXrl3j6dOnqKmpcf78+QR16u/evcuxY8eYP38+t27dom7dulSpUoWjR4/GqymZWlatWsWnT59wdnbGysqKZcuWMXLkSEJCQjhx4gTm5uY0a9aMT58+ceLECTp27MjJkyfTPE5uQ3RypkzcNeoVuDpLnJwHdCfkmc/jv8+A0dHRPH36lN27dzNv3rx0leAQnZypIDo6mvnz5zNr1ixcXV1ztIJtVFQUT58+xcLCIrtNyRRu3LhBgwYNMr0+i4hITiIiIoJ8+fIhl8vTvdji7e1NjRo1ePXqFXp6eoke8++i9iI5Hzc3NwYOHIirq2t2myKSh/j58ydGRkZZFh1sY2PD2bNnldbf3LlzefnyJUeOHEmxbt6LFy9wcHDg+fPnWFhYYG9vr7Ro95iYGFRVVZXq5Pz27RsWFha8fPmSggULprpdSEgIHz9+xMDAIEvqkYqI5HY+f/7MhQsXqFy5Mubm5vHuhZGRkbx48QKZTMbXr1/p2rVrqvsNDAxk2LBh3LlzhyVLltCvXz8hxbx27dpYW1vniqCafzNz5kzCw8PR09Pj8+fP7N69m06dOvHr1y/KlCnD9OnTMTExSbYPhUKBvb0969ati3fPlMvlDBw4kLJlyzJnzhwUCgV+fn707NmTZs2acfbsWW7fvg2Ag4MDvXr1omzZsgQGBvLgwQN0dXWJjo6matWq6To3Pz8/unTpwuvXrxkyZAhyuZzFixfz+/dvihYtSnR0NL9+/Uq05nRe4efPn3h5eVGnTp0841TLDEQnp/I5cOAAhw8fTtdCuOjkTAPBwcFs3bqVCRMmZOo4IknTu3dvNm/ejI6ODj9+/MDf319UyBT5IyhSpAjbt29PdzTnmzdvWLJkCXfu3MHb25vPnz9jaGgIxD7E6evrI5VK05USIJPJ8PHxITg4mAoVKqTLPpG08ePHD9q1a8fdu3fR0NDIbnNE8hiNGjXixo0bqRLXyCiNGzfm+vXrShvr1KlTjBs3js+fP6ep3aBBg9ixYwcVKlQgJiYGLS0tbt++naFnS4lEwvv37ylXrly6+/g3zs7OWFtbc/fuXerXr09kZCRPnjxJsd5yTEwMx48fx8bGBi0tLaXYIiLyp9KnTx9sbW2RSqXIZDIOHz7M1KlTU1RfDw8PZ8iQIfz+/ZsKFSpgb2/PkCFDOHnypNLLdWQHnz9/pnTp0jx79owFCxZQuHBhpk+fTmRkJHK5PMXnw6ioKIoWLUqZMmV49OhRvH1hYWEMGjSIgIAAjIyMuHv3Lu/fvwcQfABhYWGoqqry8OFDGjRogEQiITo6GolEopQFfHNzc4YMGYKXlxd+fn5Mnz6dUqVKAbElC/76669c56BODV++fMHFxYVu3brleadaRojzSXUPXJclTs7DuuPy/Ofx8eNHqlWrRkhISJrbZv7Tax4if/782erg9PDwyLax/8327duzbez9+/cLDwIVK1akSpUq2WaLiEhW8vHjR6E2U3qoVKkSe/bs4ePHj/zzzz/Url0bR0dHpkyZgrm5Of369UuTuNHVq1cpXbo0Ojo65MuXj+LFiytN0VMkZSwsLOjUqZPo4BTJFHr27MnOnTuzZKxevXphZWWltP46dOhAiRIl0txu+/btTJs2DWtrazZv3szq1avp1KkTcrk83bZ0796dNm3apLv9f4lLqY1zVAYGBqaqPJGKigrdunUTHZwiIkpg/vz5HDlyBFtbW169esXq1as5f/48z58/T7bdgQMHaNOmDRcuXGDKlCls3LiRU6dO5QkHJyDU63z8+DGTJ0+mfPnyfPjwAU9PT0qWLMnr16+Tba+uro6vry8zZsxgz549BAcH4+3tDYCWlhYHDx5k6NChvHr1ijdv3nDx4kUAli9fLhwTJ/QU52zMaJ3Of7N27Vp+/fqFhoYGT58+ZdiwYURHR3Pp0iVq1KjBr1+/Ut2XTCaL937dunUcOnRIKXYqmxIlSij1N1pEJDWEh4ezfv16ihUrlq72YiRnLuLRo0eYm5tn+yqRm5sbZmZm2WoDwIcPHzAxMcn26yEiklVUrVoVFxeXDD8Qy2Qyjh49ioqKCjExMbRt25a1a9fSqFEjmjRpkmzbkJAQhg4dysGDB/nx40c8BWVra2vOnz+fIdtEUqZ169ZMmzaNWrVqiYImIpmCXC6nbt26PHz4MEvG69ChAzt37kyylEZasbKyEibAaeHr16/Uq1cPT09PpFIp/fv3Z8aMGZQvXz5ddri6ulKnTh0A3N3dMTU1TVc/yWFpacnNmzdTFB2JioqiWbNm3LlzJ0PjOTo6YmdnJ957RESA9evX8/jxY4oVK0bVqlXp1atXose5ublRq1Yt2rdvz+PHj+nTpw+zZs3Kc+W3nj9/To0aNTh8+DARERFYWlpiZGQklFxKbcT+9OnT2b9/P15eXgCMGDECVVVVWrZsyZcvX7h16xYnTpygVKlS6Ovrc+fOHTw9PSlTpkyWZCDEaXXMmjULHx8fDAwMWLhwYarnpD4+PoSEhLB9+3YWLVoUr8+cyJ/kb0kvcdeoa6ADapkcyRkdFM5R3dF55vMoVKhQvP99hUJBcHAwWlpa7Nu3j/bt26e5T7H4Wi7izp075M+fP9vTQXOCgxNQWvqXiEhu4fDhwwwZMoSDBw9mqB9VVdU0C4r4+Phw+vRpli9fTrt27YiJiYn3IHn//v10pbqLpB5/f3/q1avHrFmzRKEhkUxFKpUyevRoVq9enSUZLH/99ReXL1+me/fuSukvvRPF4sWL07p1a0aNGsXGjRtRU1Pj3r176XZy1q5dW5i4VqhQIVNEiFLrtFRXV8+wg1NEJDO5ffs2q1atylXiqSNGjCAwMFBQRwfYu3cv/fr1w9/fX6idO2LECKKiohgwYACHDh1SuhJ6TsHExISKFSvi7e3NwIEDUVNTE5TR0+J8XLx4MYsXLxbeR0dHc+zYMR49esT8+fOpVKkS0dHRfPjwAQsLC75+/YqOjg7fv3/H1dUVTU1NpUbR/5e43xhbW1tq1qzJgAEDGDJkCNu2bUtV+9evX6OmpsaAAQMS9Cki8qexdu3aeO+lUimFCxfGwsKCQoUKpatP0cmZxTx9+pTy5cunKxJr/PjxyjdIREQk11ClShUMDQ25f/9+ijXY0kpISAg3btzAy8sLJycnvn37hrm5OeXKlWPw4ME0bNiQLl26cO3atUQVP83NzYW0IhHl4+fnh5WVFffu3VNatJuISHL069cPS0vLLHFyPn/+XEiHk8lkODg4UKxYMXbu3Jnm6HCZTIa/v3+67Ni/fz+XL1/m3r17AIwbN47Vq1djZ2eXrv4cHR05ceIEhw4dokePHkRGRub6EhMjR47MbhNE8igNGzZMlyJ2dqKmphZPdCY4OJgGDRoIEVafPn2ibNmyADx8+JDatWtnmW0/fvwgOjqaAgUKpFqo7OfPnxQpUiTdY0ZHR/Pt2zfGjh2Lnp4evXv3Tndf/0ZNTU1YnG/Xrh1TpkzBwsKCsLAwYeH93LlzSCQSLl68iKGhIUWKFKFmzZpKGT8patSowY4dO9iwYQOPHz+mZs2aqbpHdu/eHR8fn0xZ+FImcTVNRVKPDBUkZO4ihiyT+89q0vuMlRyikzONZPTm/9dff2VJGL2IiEjeZNGiRbRt25abN28qtd9hw4Yxf/583r59S8eOHZk3bx6lS5dm8uTJnD59mu3bt2NpaZlke3V1dYKCgpRqk8j/aNu2Lc7OzqKDUyRLqVWrVpaMExkZybBhwyhevDgSiYSOHTvi4uLCixcvaNeuHXZ2dpw9exZNTU02bdqUbF937tyhUaNG6bLjr7/+onr16vEUyF+8eJFiu7CwMBYtWoSFhQXBwcEcOnSI8PBwbG1tuXDhAp8/f0ZPT4+NGzeKC9YiInmY/Pnzkz9/fuF9mTJlePDgAebm5pkSvXngwAGio6OpUaMGnTp14sKFC/HKYnTv3p2VK1emyskZFBSEkZFRhhxvurq6KBQKKlSowIEDB6hduzampqZERUUJEZ0ZpVatWly9ehWFQoG/vz/+/v4UKFCAVq1a4ebmhq+vLx8+fOD06dPcu3ePIkWKcPDgQXr37p0hh52fnx8KhQJ9ff142wcMGBAvIjM1/Pz5E4it79q8eXMaNGiQbrsyk7xWTkEk5xIREcGLFy/w8fFJUAtdTFfPAjLi4ITY8Fu5XE5kZCT58mVuvQZlEKeUJyIikjPQ1tbGwsKCNWvWYG9vr7R+TUxM2L17t/C+UqVK/PPPPwmKoyeHQqFAJpMprci7SCwSiYSGDRvGixYREckK0hsRmVacnJxQV1ePtwgcFRXFo0ePeP36NefOnWPatGn06NEjQdvTp09TpEgRLCwsANi9ezfDhw9Plx29evViyJAhwvuKFSsSExND3bp10dXVxc/PDy0tLc6cOYO7uzvnz5+nfv36LFu2jA4dOnD9+nXy5cvHyZMn490HL126hJqaWry+/8v27dvZsWMHd+/eTZftIiIiOZO4urzKJiIiIl6k5IQJE+jbty+amppEREQAsWWObG1tOXv2LHv27EmyrwULFrBmzRrmzZtHTExMuh2yR44cITg4mLdv3zJ27Fhhu0QiUfrzoUQiQU9PL97ir7a2NufPn0dNTY0yZcpQrFgxtm3bxuDBg2nZsmWG5vESiYQlS5ZQtWpV+vXrp5QIxzZt2uDn58ebN2+oVKlSkscpFApiYmLE5+tcQAwqSDPZxRaTxyI5L1y4QN++ffH19U2wTyKRpKscmhhSmA1IpdJck64kOjhFRHIWEomE5cuX4+DgQGhoaKaNU7t2bVRVVXF1dU11mxYtWmRqDaQ/lYoVK3Lr1q3sNkPkDySr1Lg1NTUTZLn4+PhQrFgxPDw82LlzJxUqVKBs2bLUqVOHIUOG4ODgwN27d5kzZw5Dhw4lJCQEiF2w2bRpU7pU0SdOnBjPsbtlyxZKlCjBvn37mDBhAjt37mTmzJm0b9+eFStWUKZMGZycnFiwYAFjxoxhzZo1LF68OMFEtH79+gQHBycr1uPj4yOkyWcUNzc3pfQjIhIYGCg4zERyFkuWLBH+njhxIhKJhMOHDxMeHs7r169RUVFh1KhRnD9/nr179yKRSFi4cCERERF8+PABJycnAgICKF++PCtXriQqKopnz55lKJKzX79+9O/fH4gtg7R48WICAgJQVVXNktTsQoUKCdGHHz9+xMnJicaNG6NQKDIcqFSoUCGGDBlC//79laZPUbt2baKjo9m3b1+KxyoUCqKiopQyrohITmLMmDF069aNHz9+IJfL473Sq/cgqquLiIiI5EKKFStGo0aNMixClBwRERHY2tqmqSZe5cqVCQgI4O3bt+I9WQns2bMHdXX1RCPYREQyE39/f6ZOncrmzZuzZXwvLy9mzpyZaPTR8ePH+f37t6BS/OXLF86cOYOdnR1t2rRh+fLlvHz5km3btjFw4EBatmyZqppPK1asQFNTkzFjxgDQqFEjoqKiuHr1aobUxIODgzEwMCAyMjLZ49zd3ZFKpbx//562bdsil8vTHC3UoUMHTp8+TVBQULy0WRGR9DB37lwCAwNZs2ZNdpuSawkKCuLQoUMMHTo008bo06cP+/fv58GDB/j5+XHp0iXWrFnDmTNnsLGxAcDb25tSpUpRqlQp3r9/T6lSpfD09EzQ1+fPnylVqlSabXj37h0VKlTA19cXPT09QkJC0NfX59OnT/FKgOQFskIJPSYmhqioqHiZnxmJss0Ior8lZeKuUdvA7agVyNwF4uigMM7pDsozn0eBAgV4+vQpJiYmSutTjOQUERERyYW8e/eOZ8+e8eHDh0wbQ1NTEwMDA06fPp3qNq9fv2bp0qVUq1YNc3Nz2rZty6tXr9IVVfWn8vLlS759+8avX784d+6c6OAUyXI8PDzQ19dn6tSp2WaDqqoqP378SHRf586dGTZsGFu2bKFRo0b07t0ba2trli1bRp06dWjXrh1Vq1alUaNGBAYGcu3atVSNqa6uHi/FsnDhwri4uGTIwQmxEfhRUVE4Ojome5y2tjampqa0bt2afv36CSmKqaV+/frC/TovTHxEsp+ZM2eyfPny7DYj1yORSDIlIvbLly9IJBL279+Pvb09vr6+qKioYGNjw/79+wUHJ4CRkRGRkZG8e/cOhUJB+fLl2bVrl+CAjBPMcXBwSJctjRo1ol27dkL6uLa2NjExMZn6nJpdZIUYT2hoaIJnZ2U7OOVyOSNGjFBqnyIiaaVLly7cuHFDqX2KkZwiIiIiuZTQ0FBsbGy4fv16po0hkUj49u1bmlfh5XI53t7eaGpq0r17dx4/fsyLFy8SVWYX+R9RUVFCOZNKlSpx584dUWxIJEtxc3Nj+PDhbNmyhSpVqmSbHUuWLMHQ0JBBgwalqd2NGzfo06cPb9++RUdHh4CAAMaNGxev5nBiHDx4EAcHB44fP46RkREAtra2HDt2LMOCkaGhoejo6BASEpJmh6lEIsHR0TFVE9G4KM64KKORI0eyYcOG9JotIiKSg5HL5WhrawvO0/REfsfh7+/P9OnT2bRpU7rTyu/fv0/z5s0JCwsTtrm4uFCvXr0M2SaSuaSmVqrob0mZuGvUOnBXlkRyXtDtn2c+j7CwMLp27UrhwoUxMzNLIHj178Xn1PLHVa+9e/cu5ubmaGpqZrcpiRIdHY2Xl5dSw3VFRETyJtra2jRu3Jjr16/TtGnTTBlDIpGkK81IKpUK7S5fvoy7uzv169fH19eX7t27s2PHDmWbmieIc6ZUqFCBixcvig5OkSwlKioKGxsbbt++TcmSJbNkzIMHD7J27dp448VFPtatWzfN/TVp0gRHR0dsbW25dOkSx48fT1U7uVxO8+bNBQcngL6+Pl+/fs3wtYgrpp+eiFBDQ0P69u2b7DEKhQJHR0f++usvIZJTLpejq6srOjlFRPIoixcvpkmTJjg7O2eoH7lcjo2NDffu3cPa2jrd/ezcuZNv377F21aqVKlkBXX+dK5cucKPHz9SvMdnJqKYkUh2c/DgQS5duoSmpiY3btyItyAikUhEJ2dqWLVqFZs3b06Vk3PDhg18+/aNSZMmUahQoSywLnaCIRYVFhERSS1z587Fzs4uU5ycQUFBSlt5r1ChAl5eXgB07NiR1q1bo6enx9OnT7l69Wqeq9eUXtTU1KhTpw4PHjzIblNE/kAaNGjAihUrsszBCRAQEMCECRPo3r270vps3749mzdvpkaNGnz8+JGuXbsme3xUVBTr1q1j79698bYbGBgwYsQI1q9fn6HF55IlS6ZbqOLnz58pHtOgQQPu378PIFxHiUTCX3/9RVhYWJYJSImIiGQNYWFhXLp0iUaNGmW4r2nTpnHv3j369u2brAJ7Sty4cQMHBwdmzZolbCtatKgQ3ampqZkt9SRzMmZmZly+fBmAo0ePYmVllSci8/5kZKggyWT1c1keU1efMWMG8+bNY+rUqRnOnInjj6vJeeLECQoXLpyqY/39/fHy8mLu3LksX74cHx+fTLYudpVfXPESERFJLSEhIRl6KE2OLl260L59e6X3e+LECQYOHMigQYNYsGAB5ubm1KtXT+nj5DZCQ0OB2EmBiEh24OHhQbdu3bJ0TGU90P6Xc+fO8fTpUwIDA9m2bVuyx3p7e+Pq6ppAbGPJkiUcPHiQgQMH4ufnlyF7Mmvi+uPHD8HBeezYMQ4dOiTsmzVrFnPmzMmUcUVERJSDQqFALpfj5ubG3bt3sbKyQiKR4O7unmSbo0ePUrt2bRYuXJjh8UuVKoWqqirnz59HIpGkuyZnv3794jk44wgNDSU4OFh0cCZCkSJFWLZsGQArV67M8t9fEZGcQFRUFN27d1fq82CedXIqIxpy5syZ7Nu3j5o1a3LgwAHatWsHxN6s4+qffPnyRViBEVE+rq6uGU7DEBHJy2RmjaN58+bh5uam9H6lUindunWjefPmdOnShR8/fvDp0yelj5NbCQ4Ozm4TRP5Avn//ToUKFbJl7OwWJlMoFDRu3BgdHZ0EtTsLFCjA3r17BbXz9HL37t0U1dXTw6ZNm4BY1d3OnTvH29esWTOCgoKUPqaIiEjSPHjwgM+fPyfYLpPJEj3+7du3DBo0iGrVqmFpacmlS5cAqFixIqNHj05w/Lt37+jfv79ShOHkcjkKhYLRo0djbm4OxJbpSA9fvnxJdHv//v05deoU//zzD/v37093zc+8Tp8+fRg2bFh2myGSQeSoEpPJL3keS8a2s7Pj8OHDSu0zb12hfzFhwgRsbW1p1qxZhvuys7PDzs5OeK+jo8OGDRsYOXIk+fLlw9HRkZYtWwr7IyMjBeGIP53o6GhatGjBrVu3iIqKIjIykvz58xMaGpqq9CkTE5NMUSMUEckraGtrY29vz5o1a7C3t1dq3+vXr6dNmzZK7TMpTExMkMvlmRbVlRvQ1tZm48aN1KlTJ7tNEfkD+fTpEz169MjycbPre//+/XsWLVpEYGAgBQsWZOvWrRQrVoxmzZrx4sULPn36hKqqKkeOHKFkyZJMnTqVkSNHCk7F9NCzZ09OnDihtHNwdHRk6dKlQOIRsWLklIhI1lO9evVEHZr/rX349OlTrK2t+fnzp+D4mzFjBuXLlxfmnRKJhDJlyjBx4kShXVx09vr161mwYEGGbH316hWjR48mJCSEc+fO4eLiwrVr1+jZs2ea+0rKOdqgQQOOHDnCvXv3UCgUfP78mREjRog1x//Djx8/0NTU5MmTJ9SsWTO7zRERyTJiYmJYvnw5Fy9epFq1agmEh1avXp3mPvOskzO9ofap4d8rUAYGBpw8eTLe/uyOSMhqwsLC+PXrFyVLlkwQVRYaGkq7du24fPkyampqmJiYcOrUqVTXh9LT06Nhw4ZJ7v/69auo1izyx7N69Wo6dOhA6dKl6dSpk1L6vHXrFs+ePePNmzdK6S8lrKysOHDgAH369MmS8XIqR44coX///tlthsgfyPHjxxk4cGB2m5Gp3Llzhw0bNhAZGUmBAgWYN29eghT1gwcPsmDBAhwcHLCxseHly5dUrVqVDh06sHfvXs6ePYuNjU2axx43bhzr1q1T1qkAMHnyZCFzKTQ0NIGwkUQiERWNRUSyGA0NjVQFu0ilUry9vYX3o0ePTpB+HhMTg4qKCgsXLiQqKopVq1ZhaGgIwMKFCzPk5FQoFDRt2pQHDx6gra1Nt27dMpQunZTehYqKCosXL0ZNTQ2JRCJELHbu3Jnu3bv/0feop0+fcvLkSebPn8/ixYsBMiXiX0QkJ+Pm5kaNGjUAePnyZbx96b0/5FknZ3aSL1++7DYhS3n8+DE/f/6kSpUqFCxYkKJFiwp1XQoWLMjff/8tHBsnPOLt7Y2BgUGGFd3ElAcRkVhOnTpF3759efXqFTNnzsxwf+fOncuyleSwsDDOnDmTINXyT2TQoEF4enpmW9qwyJ/Lw4cP07Vanlto0aIFf/31F5s3b062PmaZMmXYsWMHAI0bN+bKlStUrVoVgEKFCqVKCCgx1q1bp9QFjH/++YfQ0FBKliyJjo5OksdJpVLevXuHqamp0sYWERFJPdHR0URFRQmLEDKZDGdnZ2xtbYVjYmJiEo3GjtsWEBAAwIgRI5Rml0QioUSJEowaNYr79+9neE726tUrZDJZov38+5577Ngxpk2bxoMHD7IleyAnUaBAAQ4dOsSCBQuIiooSAoJevnxJwYIFs9s8kXQQkwXCQzF5THjo+vXrSu/zz80LFFEaDRs2pEuXLrx//54BAwbw4cMH2rVrx6xZs6hfv77ggb9+/Tq/f/8GwMjIKMM/pgAlSpTIcB8iInmFvXv3Mnfu3BRFNlLD0KFDM+VHJzE0NTUxMDCgVatWWTJeTubr16+cP38+u80Q+cP49esX5cqVy24zMhVjY2N69uyZJgGg8+fPx3vOiCvBk142btyY7rZxfP36FYlEwtixY1m5ciWenp68evUqQRSni4sL69atY/78+eICkohINhIXwRjH3Llzad++vZDSPnz48CTrdf4bhULBpUuXKFmypNJse/LkCe3atUNNTQ03Nzf8/PzSrWuhoqKS6rmdqakphQoVStc4eQkTExOaN29Oy5Yt2bJlCxMmTEBXV1cpglIiIn8yf6yT8+jRo4luV4ZgUW7hx48fwsqgMggLC2PBggX4+/vj4uKCrq4uBQoUYODAgVy8eJH169dz+vRpXr16xbFjx5Ls5/v374LSHMSm/z979kxpdoqI5GVkMhnBwcH07NkzQ6Joc+bMYe/evUq0LGmkUik7d+7E0dExS8bLybRu3ZrJkydntxkifxhdunSJl3WRF4iKimLo0KG0bdsWW1tbXF1dcXJySnV7b29vNDU14zkINTU105U6tXPnTvT09JJM50wNnTp1EiKvbt++DZBszeThw4ezZcsWpk2bxvz589M9roiISMbx9/cXVNT/7cBasGABGzduRF1dPdF2z58/x8zMjCtXrgDQsmVLPD09USgUStEskEgkzJ49m1+/fmFubo6+vn66dCU+ffqUphrudevWFUXR/h91dXUePXrE3bt3mThxIjVq1EhSxEkk5xODlBhUMvmV+114tra2wj3A1tY22Vd6yP1X6P8JCQnB19c31cd37do1wTa5XJ6k8zMvEhwcrNRi//+9/tOmTWPatGmUKVOGbdu2YWxszKdPnxg2bBi1atVKtI/IyEgsLS3j7VcoFPz48QOAsWPHKs1eEZG8ir29Pfv37+fUqVO0bduWkJCQNPcxfvx4nJycsqzGsKGhofjAS+yq/uDBg7PbDJFE6NWrV56sHSaTyVBTUxNSsrMaqVSq9PuMXC7H3NycAQMGcO7cOU6cOMGxY8e4cOECrVq1olatWty4cSPZPu7fvx8v0mjbtm0cPXoUY2PjVNvx6dMnTExMGDhwYJqeUSHWSSuXy4W6mnEOWmdnZywtLVEoFFSuXDnJ9iVKlGDIkCFs27aNjh07pmlsERER5XLz5k2kUilt2rQRas8BWFtbJ9vur7/+4sWLFzRv3jzBPmWK3BoYGBAaGiq8HzFiRJoCYT5//pxALCQ5KlWqhLu7e1pMFEjrvTSns27dOtasWcPRo0fR0dGha9euOUqEMywsTMjEFBFRFrq6usIzta6ubrKv9JBzvkFKIKP1GaVSKb1791aSNTmf0qVLJ5m25eLigqenJ0OGDEl1f/9VBNbV1aVevXoULVqUTZs28ejRI0qUKEGRIkVwcXGhQ4cO3Lt3j6CgIO7du0eRIkUICwvDxsYm3o+5ioqKsDq4fv36dJypiMifh1QqxcHBgQ0bNtCpUydq167N48ePU92+Vq1afPnyhdq1a2eilf9DKpUSGhpKt27daNmypVAAv3r16hw8eDBLbMgJjBkzhl69emW3GSKJcODAgTxZB1pVVTXB73dWYmFhwblz55Ta59evXzE1NaVevXrCtipVqvDo0SMuXbrErVu3OHz4MBUrVmT16tW8evUqQR9xIm5Hjhzh5cuXODo6cuTIkTSV2ilbtiwfP35kyZIlaT4HDQ0NVFRU2LlzJxcvXiQmJgaFQkHr1q1T1X7t2rXY29ujUCjypHNeRCS3sGPHDmF+eenSJSE7TU1NDQMDg2y0LD5qamooFAoUCgXa2tqYmZnh5uYW75jLly+zZcsWoqOj421/+/YtLVu2TNN4GhoaBAcHp9nOvHg/a9euHdra2lSoUIFhw4ZRrFixbLUnKCgIOzs71NTUhP8FkdQhQyVLXrmdnTt3kj9/fuHv5F7pIc84Od3d3dNUZ0kEpkyZApDoSpqBgQHq6up8+fJFSGX48OFDmsfQ0tJi0KBB6Ovrc+DAAZycnOjfvz/NmzcnNDSUJUuWoKury6FDh9i0aROLFi1i/fr1xMTE/HEq9SIimUHp0qW5fPkyly9fZu/evYwcORIHB4dUtf327Rtz5szJZAv/x7lz5zhy5AiXL1/myJEjHDlyhPLly1O9evUssyG7CQ8Pp2HDhtlthsgfxI0bN9LlhFMW1atXJyIigi1btmS4r6ioKAYPHsyIESOYOnVqksdpaWmxceNGbty4gYmJCStXrqRatWp4eHjEO+7SpUvMmDEDW1tbOnTokGg0VWLEORbr1avHzJkzGTNmTJrPpXTp0igUCvr370+rVq3SHNnz8eNH6tatmycd8yIiuYVnz54xaNAg4b2ZmRn37t0DYhWFc6q2QFy9340bNzJ+/Hju37/P7du3adWqFcOGDePkyZPCsZGRkYwcORJ9ff00jWFubo6bm1ua1cT19PSUkqqfk9DT08Pe3p7AwEAGDx7MpUuXCAsLy7LxL168KGSzHj9+HF1dXTw8PIRAh6y0ReTP4+3bt0nuu3jxYrr6zDNOzvLly3Pv3j38/Pyy25Rcw5o1awB48+ZNgofgcuXKUbRoUS5cuICmpiYVKlSIF72gUCjSHF1lYmLC+vXreffuHb169aJu3bocPHgQhULBuHHjcHFxYfTo0UCsiqC/v38Gz1BERCSOggULsnbtWhwdHfHy8qJChQqEh4cnefykSZNo1aoV7du3z0IrE3Lz5k1RaVxEJBNp0qQJrVu3FiYxK1asoHXr1llaNuHYsWPcunUrQ47OkydP0r59e4YNG8a5c+dSFYVuZGREhw4d2LlzJ/r6+gmiNNXV1Xnz5g3v37/n9OnTyfYlk8kIDQ1FIpEIDsl79+6xYMGCBKJAKVGjRg309PTS1Oa/tGnTBhcXlzwZ9SQiktNRKBQ4OjpSo0YNhgwZQvny5Rk5ciRubm7o6OigUCioUKFCjv5+SqVSNmzYQOvWrfHw8KBJkyY0bdqUmTNnxiv7Nm7cOKFmaFqYNm0aDRo0SFWkVmRkpFDSKDg4OEP1jXMqc+bMITw8HHt7e0xNTZk0aVKmjxkVFcXXr1/p3r27kPkQVw/07t27tGzZkoULF1KtWrVMtyWvEINqlrzyEjVr1mTDhg3xtkVGRjJ69Gg6dOiQrj4lily+xBsUFISuri47duzgzZs37N+/n2/fvmW3WXmeuEjLtNRfadWqFYsWLaJ27dooFArmz5/PnDlzUCgUeHt78/jxYywsLJDJZBQtWlRQEbSyskq230WLFmFhYZEhxVMRkT+Nr1+/smjRImQyGVu3bo23782bNzRv3pyvX79me12gSZMm8eLFC44ePfpHROuPHTtWLMshkqUoFApKly5NhQoV8PX1pWvXrkydOpUtW7Zw9OhRbGxs+PnzJyoqKkgkEhQKBSoqKvj4+KCvry849f6dfaGurs7o0aMpWLBgmmyxs7PDxMSE2bNnA7G1NaOiolKc0EZERNC2bVsuX76c7nvW4cOHefnyJQsWLEiwb+fOnVSsWDFe+vu/8fX1FdJOy5Urx7Vr19DT00uzcxPAz88PfX39DEVgPnjwABcXF5o1ayamGYqIZAJBQUEpPpNIpVIiIyNRU1Pjw4cPlC9fHoiNisuXL19WmKlUAgIC6Nu3L7Vr1xbu0QqFQqj9mx4+fPjAhAkTUlxEyixyajmPEydOCKr3mYm3tzcDBw6kY8eOeHt7c/v2bapWrcqKFSv49OkT//zzD/PmzUNFRQVdXV0CAwP/iGfx9BDnk6odeAbVAmn/7U8LsqBQXHXb5ZnP48iRI4wYMQILCwt27tzJjx8/6NWrF3K5nL1796ardFqecXK+fv2aX79+ERUVRb169dL1YCmSPN++fUMikWBkZET16tVxc3Nj8+bNDB06NFXt582bR1RUFIsWLYq3PSoqihMnTtCjRw8OHjxIgwYNKFmyJAA+Pj4YGhpy4sQJrKysEv1cIyIiUFdXz3ZnjIhIbsTS0pIzZ87EE9gYOXIkZ86c4dWrVznix3PdunVMmDABX1/fNDtNchNr1qxhwoQJYnqpSJYS97s8b968BPv8/PzYtWsX9erVE5yYcQrB0dHRqKmpoaKiQkREBBKJBA0NDWJiYvDx8WHVqlWcPHkSIyOjVNkhk8m4evUqw4YNQ0dHh4oVKwo2qKio4OXlxdOnT9HS0orXLiwsDGtra1avXk3NmjXTfR327NnD06dPhSyX1DBt2jQ2bdpEp06dWLJkCUWKFEn3+P/u8+7du9y6dSvdfXz69ImNGzeyfPnyDNsjIiISn4iIiFRFEtrb28e7n0gkEnx8fChcuHBmmpepREZG0rNnT/Lnz0/FihV59eoVffv2TTEgJTm0tbX59etXgns7xP4uxC2wKZvM7Dsj3Lx5kyZNmnD48GG6deuW6eONHDmSO3fu4ObmhouLCxMnTkRNTY3SpUszf/58ihcvTnBwsOjkTIE4n5R54HlUMtnJGRMUymNd6zz1eXz9+pUBAwbw9OlTQkND6d+/P6tWrUr0vpAa8kysq66uLn5+flSsWDFNReHj8Pf3jzfJzy7kcjk+Pj6pnhRkJXGKohKJhBcvXnD69GkOHDggODlDQkKQSqVJ/jMmVdtPXV2dHj16sGnTJoYPH87YsWOpVKkSI0aMwNDQkGfPnjF58uQkC1rnxZQFEZGs4uDBg/Tu3Zvu3btjZ2cHxKpkrl+/nnbt2nHz5v+xd9fRUV3dw8e/ExeIkBBCCASXQHAa3Iu2SHEoXjS4FCvaIkWKFiju0BYtToq7Q0IIriFAIO4yM+8f/Jj3SeMymSTsz1qz2rlyzp4JydzZ95x9zuo4wk9ToQoWLMjkyZNZuXKlrsPRmjFjxug6BPEFMjIyIiwsLNF9+fLlS/e/SxcXF9zc3Hjz5g3GxsYYGRlpEqUWFhZERUVhbW1NTEwM8ClZGRUVRfHixZk9eza1atVi3759zJ8/n7dv3/Lx40dKlCiBlZUVhoaGFChQgMKFC+Ph4cHq1aszlOAE8PLywsnJKdXHR0REMG/ePHr27MmGDRsy1Pf/mj59OnXr1s1QG/7+/jKCUwgtSe33jjVr1jBu3DjNIjK54QamsbExe/fuJSwsjICAAM2glIyws7NLMtGoVCrR19fOIivpyRekxufRu+kdfFOlShWKFSumGfmrbV27duXq1auaf58HDx4kX758HDt2jHbt2nHx4sUsiUOImJgYlEolSqWSggULZijHk2uGvpmbm1O+fHnWr1+Pr69vms83NDTMFkWMlUplmgswZxWFQhHvQ6hNmzbs2rVL8zxPnjzpzrYDDB48GIB69erFm/YwatQoPnz4QJ48eVLVjre3d7xaMUKIpBUuXJgjR47w8eNHWrRoQbt27Shbtizt27dHrVZni7+LAJ07d+bQoUO6DkNrDh8+zPbt23PFlyCR84SGhvLx48dMbbNMmTLs2bOHK1eucPbsWdzd3Tl58iRHjx7lu+++w8TEJN7Kug4ODgwdOpRt27bRvXt3hgwZwpYtW1iyZAl37twhLCyMsmXLcv36dW7duoW7uzsdO3bk2rVrVK9ePcPx1qxZM03Xj5+vO7ds2ZLhvv+XiYkJN2/ezFAbf//9N40aNcqkiIQQaRUcHEzp0qVz7SKqefLkyZQEJ3y6sZ7U9zZjY+NsN9IyJYGBgRlaqMfCwoJnz55RpUqVTIwqafXr16dixYoMGDCAihUrYmNjQ5s2bWjevDm//fabDCZKIyX6WfLITXbt2oWLiwuWlpY8evSIw4cPs2bNGurVq8ezZ8/S1Wauma4eHBwMfKp/sn//fnr06JGmP4qRkZGYmZkRGBiYq6dD5hQqlYq7d+9q/sAPHDiQJUuWxEuiBgYGkjdv3kTvxL1584bz58/TrVs3SRoIkUpt2rRh9erVmlHbs2bNokaNGrRs2VLHkcGtW7fYunVrmqaS5iSDBg1i9erVOe5iXuQOL1++pHbt2jx79gxjY2Ot9zd69GgGDhxIuXLlEt2/efNmXr58qan79pm3tzeDBg3K0FTupHTt2pWWLVtqRrQnR6FQMHr06HQtKpQaCoUClUqV7r8H/fv3Z/369ZkclRAiNf755x/atm1LeHh4hgZ/fCkqVaqEp6cn//77L40bN9Z1OBmmVquJjY3FyMgow23t3LkTJycnateunQmRJU2tVrN161ZUKhVt2rTBwsJC8/06KiqKIUOGsGnTplw1PTqzfc5JVQ4+niXT1e9YNs81Pw9zc3MWLlzIkCFDNNsCAwMZNGgQx44d0yw6lhZaG8n54sUL+vfvT7FixTA1NaVEiRJMnz5dMy3pMw8PD+rVq4eJiQmFCxfOUP2gmJgYtm3bxpUrV9J05+zGjRvExcXh7OxM3rx5U32eWq1m37596Qk1U4wYMQKlUqmz/rVJoVCwatUqzfM1a9YkuFCwtrZOcopYoUKF6Nq1qyQ4hUiDokWLxity3qlTp2zzRXn27NnpXmEvJ8iTJ48kOIXOODk54e7unm1GbPTu3TtBghOgXLlyNG/enLlz52Zqf0FBQZw4cYL27dsneUx4eDijRo3S/J7+9ttvWqv/3q5dO/766690nXvu3DlKly6dyREJIVJrxIgRvH//XhKcqeTu7k7Tpk05evSorkNJVGxsbJqOVygUmZLgBLh8+XKWJH4VCgW9evWiTJky2NjYsG3bNs0+ExMTfvvtN63HkFvISM60u3XrVrwEJ3zK8/z1118JVl1PLa0lOR88eIBKpeKPP/7Ay8uLxYsXs3r1aiZPnqw5JiQkhGbNmuHk5MTNmzdZsGABM2bMYM2aNenq09bWlu+//x53d3dev36dqnNUKhVVq1Ylb968eHl5panuR2xsLA8ePEhXrJlh2bJl6OvrExcXx4kTJ3QWhzYoFArWrFnDy5cvuXLlChs3bkyQxX/w4AHVqlXLtVNBhMhqVapU4eDBg5rn5cqVw8rKKktqRfr4+DBt2jSGDBnCtGnTWL9+PXFxcZr9gYGBGa65l50ZGBjITRmhU87OzsyePZsrV67oOpRkTZkyJdOveSwsLChevHiyIyJ27drF0qVLiYuL0/rvaokSJejatWu6zt2xYwcjR47M5IiEEKnx9OlTfvzxR+zs7HQdSo5hZ2eHm5sbf//9N7Vr18bT01PXIWkolUqdfs9ctmwZR48e5ciRI1nSX+3atalfvz7dunXTbNu2bRvv3r3Lkv7Fl6lMmTJJ7uvZs2e62szS6eoLFixg1apVmrn1q1atYsqUKbx7905zx2PixIns378/1cnD/52unp7hui9evMDOzo779+9nSk0nXVGr1bl+FNCePXvo0KGD5vnjx4+xt7fH0NAw24w+ESIn8/f3p02bNvGKjEdFRVG3bl2uXbuW7iLqiZk7dy43b97U/N3Kmzcv33//PSVKlOD169fcv3+f/fv3U7ZsWUqWLIlSqWT48OGZ1n92EhsbS9u2bbPsIlaIpKhUKnr37s3WrVu12s/o0aMZPHhwshe2yRk7diwxMTEsX74802IqX748p0+fTjQ58e+///L1119n2Y2I8PBw8uTJQ1hYWJpGi6rVapo3b57jbnx7eHhQsWJFXYchRKpERkZiYmIS73uXUqnk6NGjPH36lOHDh2fq9dKXQqVS0atXL7Zv346rqyuXL19GrVbr7L2Mi4vL0OJEGzdupGnTphQuXDhDcSgUCm7evEnVqlU5e/YsDRo0yFB76ZHRfMuX4PN7VC74FPoWqVtHJL2UIWF4WzbOVT8PHx8f/vnnH169epVg5nd6RhJn6erqwcHB5MuXT/P88uXL1K9fP96Q7ubNm/Prr78mudp5dHR0vIV5kpqj//z5c4oVK5ZsPCqVim3btmFvb8/mzZs5f/58Wl9StvH5g/bBgwfY2Njw9u3bbHvB+OuvvzJhwoQ0n1epUqV4z7Nq1TkhvhQ2NjYJRrPfv38/Q6tEJsbX15fbt2/z119/Jdquk5MTdevWZeDAgZw6dYpvv/2WESNGZFr/2cnnuk337t3TdShCoKenh6urK+7u7nz99de6DidJixYt4pdffqFOnTrMmDEjU2IdPHgw48aNS7CQ0M8//8zHjx91MtJ6zZo1jB49OtXHX7p0iYYNG2ovoP+hVqsZOXIkc+fOzdC0fX9/f7777juePHmSidEJoT03b97E09OTuLg4jIyMCAsLQ19fn8aNG/PNN9/oOrwcS09Pj23bttGzZ09atGhBwYIFmTlzJj179sTAwCDTpoCn1v79+2nVqlW6yw7kzZuXnTt34ubmlqG/kQEBAZpyerpIcAqhbSdPnqRNmzYUL16cBw8eUKFCBV68eIFarU73LL4suzXy5MkTli9fzqBBgzTb3r17R4ECBeId9/l5UsOi586di6WlpeaR1N2RlBKc8OmP6aBBg3j79m28KZo5mampKVZWVpQrV447d+7oOpxEpSfBCVCyZMlMjkQI8V//XRFy/PjxydapS49hw4Yxd+7cVCVOGzdujKmpKWXLls3UGLKL1q1bU6ZMGcqXL6/rUIQAwM3NjSVLlmT78gk//fQTf/75JwcPHqRv374Zbm/t2rX8+OOPCbZPmzaNpUuXZrj9tPh8DTxw4MA0nVe3bt10T+1Kq/79+7N8+fI0rUifGBsbG0lwCp0LCgqK9zcvMjIy3jTl2NhYFi1ahEKhoF27djg4OHDv3j1atmzJ2LFjGTVqVLYdXJLTNG/eHLVazcOHDxkxYgTm5uYYGxtz+/btLI2jXbt2Gaqr2r59e/bv30+ePHlYvnx5uj9Tra2t+ffff5k5c2a6YxFZR4lBljxyk0mTJjFu3Dg8PT0xMTFhz549vH79mgYNGtCpU6d0tZnmJOfEiRNRKBTJPv471fzNmze0aNGCTp06MWDAgHQF+tmkSZMIDg7WPP5be/PKlSt8/PgxxXbUajUvX77E2tqaOnXq5JppBU5OThgaGmJoaEjlypV1HU6qeHh4cPjw4TQXdhZCZL7/XtDVqVOHGzduZFr769ato1q1apQoUSLV54wYMSLVdZZzGnd3dw4cOKDrMLh58yb+/v4EBgbqOhShYwqFgg4dOsQrW5FdOTo6smzZMh49epShES5z586lcuXKVKhQId52b29v4FPCIyuVLVuWn376Kc1T1S0sLDI8NTK1jh49iqmpaaoGFQiR3eXPn5+FCxcCn6ZGmpmZUaZMGe7evcv06dMxMjLir7/+omzZsjx+/Ji2bdvyxx9/UKRIER1HnntZWlrGm7359OnTLO0/I1PVAfT19Zk9e7ZmIaKpU6cSEBCg2f/mzRuaN29O69atiYmJiVeH/r+aN2+e6GJ8QuQG3t7e9OrVC/j0excZGUmePHmYNWsWv/76a7raTHNmb+zYsXh7eyf7KF68uOZ4X19fGjVqRO3atRMsKGRvb8/79+/jbfv83N7ePtH+jY2NsbCwiPf4X0ZGRkRFRaX4OhQKBU5OThgYGNC4ceNcU88gJ6pYsSJVqlTh7t27aTrvxYsXAFl2QS/ElyA4ODje81mzZuHp6Zmqv6upce3aNXr37p2mcwYOHJjr7mCHh4fj5ORE5cqV012XMDNVq1YNGxubRMvEiC9Pnz59WLt2ra7DSLWLFy9iamqa7vOvX7+eYJo6fFp8DT7d/AkPD093+2kxbtw44uLimDhxYprO++uvv5gzZ06mxhIdHc2wYcM4ffp0gn1v374lIiIiw4kAIXQtKiqKuLg4WrduzbRp01i5ciXw6fe/cuXKHDx4kICAAK5evYq3t7d8TmaxVq1aATBv3jymTZvG+/fv0zUqUhc3yxs1akRAQADz58+nWrVqtGrVimXLlgGfEuvly5dn9erV2NnZJVhd+n99HkgmRG5kbm6uqcNZsGDBeDc0UjN4MTFpTnLmz5+fsmXLJvv4XDPjzZs3NGzYkGrVqrFx48YEoyVr1arFuXPn4o3gc3d3p0yZMun+AHFycsLBwSFVxyoUCpo2bZqufrKDNWvW5JqVxR0cHNK88FPRokWBxD+0IiIiNAtcCSFSz9DQMMG2JUuWpHnaZFLCwsLIkydtBbnt7e2pVq1apvSfXXh4eODi4pLl06+ESA09PT2KFi3KyZMntdZHZl+/5MmTB3d39zSfFxISwsuXL5Pcn5XT9tetW8eiRYtQq9VpruG2Y8eOTC8tcu3aNWJjY5k3bx5KpTJT2xYiu9DT08Pb25u6devi4+ODt7c3arWaf/75B7Vaza1btySxqUOHDx+mT58+3Lx5k969eye4GZ9aWXWj6r+srKxwd3fnu+++Y/v27YwcOZKdO3diZGTEb7/9RuHChVmyZAnnz5/n2rVr6X59IntQop8lj9ykZs2aXLhwAfh0U2Ps2LHMnj2bfv36UbNmzXS1qbU52p8TnEWKFGHhwoV8+PCBd+/exau12b17d4yMjOjfvz9eXl78+eefLF26lDFjxqS7Xxsbm1RPPY+MjEwwNSkn6d69e66ZZp8Sf3//JBeZSoy+vj4bNmzg6NGjwKdar7du3dJWeELkGjY2Ngm2NW/ePNMuDiMiIrCyskrTOTExMdm+PmBarVixgj179ug6DCGSNHPmTJo2baq1UjKZneT866+/cHNzY/PmzTx//jzV540aNYrvvvsuxeM2b96s1b9Dfn5+DBgwgKlTp6brfLVaneqb/KlVr149KleujIuLS4JF6YTI6Z4/f86VK1eYP38+5cqVo2/fvmzYsCHRm71Ctz6vrvzHH39w7Ngx/vzzz1Sf+/mzJj213dVqdaZ8BhYvXpwLFy5QsmRJdu3apSn/9/m7bZ8+fbh37x5nzpzBysoqwerSQuRmv/32G66ursCna88mTZrw559/UrRoUdavX5+uNrU2x8Td3Z0nT57w5MkTHB0d4+37fJFoaWnJiRMncHNzo1q1atja2jJt2rRMGzGUEhMTE5YsWZIlfWlDUqOh7t+/j7Ozc4rnP3jwIMcs5nHw4EEUCkW8aa5XrlyhefPmid7xMjY25pdfftH8Wzt//jylS5fOsniFyKmSmnpobGzMy5cvcXJyire9ffv2NGnShGHDhqXY9uXLlylVqlSaY9LT0yM0NDTN52VndnZ2Wb5SqBBpdfXqVdq3b8+hQ4cytV2FQpHpCUM9PT2OHj3K0aNHmTBhAo8fP+bixYvJLhwxePBgatasmeJ1p6+vL/Xq1Ut2OmFGjRo1CvhUIiStfvnlF62NtNTmaxZCF/z8/Jg7dy5Vq1bl1KlTGBoa8vbt2yRLpQnds7a2ZsiQIdy7d48KFSqwZcsWGjRoQIECBVCpVJprV7VaTUxMDMbGxppzlUplugcFKRSKTEt616lTR1OK5NWrV/z4449YWlpy5MgRWrZsiYGBAcOHD6dAgQKSaM/BVOiDlkdaqnLZSM7/LXVpbm7O6tWrM9ymQp3Dh8eEhIRgaWlJcHCw1NX8P58/AHK78PBwVq5cSb9+/RIdfQawf/9+2rZtK3VMhEiFqKgo2rRpw4kTJxLsO3fuHBs2bGDTpk0A+Pj4MHr0aCIjI3FycuL58+fkyZOHiIgInJ2dmT9/PsWKFaNGjRrAp9pux44d4+XLl2n+IvH06VMaNGhA8eLFKVu2LDY2Nri7u1O/fn26d++e5lIXuuTr68vatWt59uxZomVchMhuJk+eTP78+Rk9enSG2unatatmRI1arWb9+vVavW4bNmwYW7ZswdXVlQIFCjBnzhwcHBz4+PEj9vb2DB8+nNKlSzN8+PBUtadQKHj+/LmmVE5mUygUtG/fnr1796b53IoVK3LmzBny5cunhciEyF0WLFhAUFAQc+bM4d69e5QvX17XIYlU8PPzo1mzZty9e5eSJUvSsGFDVq9enWCUeUhICNu3b0/2Bk1cXJxO6wl7eHhQqVIlAOrXr0/p0qWzdR1sybek7PN7VCz4CnoWaSvLlVaqkDCeW9bMlT+PsLCwBDN90vMav7hq4QEBAbn+IjCjCU61Wh0vKbhlyxa+//77bPdl3NzcnNq1ayc7Gqpdu3ZZF5AQOdzt27eTrH1Zv3595s6dC3z6IO/QoQMbNmxI9MtB27Ztady4MZ07d463Kt6wYcNwcXHBy8sLOzu7VMdVokQJfHx8CAkJ4eDBg9y6dYuFCxfy9OlTJk2aRMuWLTNU5iSr/PPPP0yZMoWePXuyefNmXYcjRKrMmTOHTp06ZTjJCZ+mlGvbhQsXOHjwIJcuXcLDw4OiRYty48YNxowZQ2xsLObm5ty8eZNOnTqlOsEJMGjQIAICArSW5Ozbty+DBg1K83kqlQoXF5dcf20rRGYIDw/H399fc20iCc6cw9raWrNIrb+/P+vWrePp06ecOnUq3nF58+alfv36ybal6wXTKlasSEhICDVr1uTcuXPkyZOHffv20bBhw3j1X6OiojAxMUm0jfDwcExNTVEqlSiVyiSPE1krDn30ZCRnmjx//pxhw4Zx5syZeAvdfs5JpWemyheX5JSLwOSp1WqeP38eb9hwjx49sl2C87M6deroOgQhco27d+8mW+A5JCSEBQsWsHHjRn755ZckvxwsW7aMokWLJrjwXLFiBQ0bNqRbt27pWtDEwsKCHj160KNHDwAaNmxI3759qVGjRrZJcn78+BF/f39sbW2pWLEivr6+BAcHExoaStu2bTlx4gS1a9fWdZhCpIlKpUrXomFZbcGCBVy7do1+/frFu8FSvXp1du/erXl+7949zQrKqaVWq7VaYmL06NFs375dU5cqtR4/fkzz5s21FJUQuUt4eDiGhobExsbqPNEl0sbQ0BA/Pz82btzImDFjMDQ05PTp0wmOUygUOSJ5nTdvXry8vLh16xZlypShadOmvHv3Lt4I1PDw8CSTl58Xp9PT05Pp7SJH+/7771Gr1WzYsIECBQpkygxc+esu4lEoFPESnECOKzZ/5MgRateunejiJjY2Nnh6emZ6cX4hcroXL14wZMgQAgMDkzxmy5YteHl5MXPmTK5evZrkYh1OTk5Jrg7ZsWNHTp48yeTJk5kzZ06G49bT0yMiIiLD7WSG/34oly1bFl9fX9asWUPevHlp1KgRX3/9tY6iEyL99u7dy99//63rMJI1cuRIrl69ypUrV1I8tkKFCvj6+qapfWtrax4/fqy1ckAuLi5cv349zSWHDh8+TMeOHbUSkxC5jZ2dHXp6epLgzKHy58/Pjz/+CMCJEydo1qwZYWFhmJubExYWRt68eVPVzudqfdmhnFnlypVRKBRcvnw5wb6kyrGJ7EuJPmotp9hy20jOu3fvcvPmTcqUKZNpbWbP4XkiRxg+fHi2XPG4Zs2aWFpaJrrv0KFDhIaG8uLFi6wNSohs7u+//8bR0THZlc9LlChBmzZtOHr0KIMHD062veTqp6xatYq4uDiKFi3KvXv30huyRr58+TJ9pea0+OmnnzQXyvPnzyciIgK1Wo23tzdqtZpx48YxaNCgBCNbhcgpHB0ds+2MDnd3dywtLXn06BGXLl1K9XlKpTJNfzfCw8O1XgKnatWqNG7cOE3n7Ny5kyJFimgpIiFyF22PyBZZ5/MozhUrVhAeHs7Lly/x9/dP1bnZafVyPT29bJFsFUJXatSowevXrzO1zex5xSpyhOXLlyf4oxwbG8u+fft0FNEn+fLlS/LDolatWpQpUyZNNbUiIyMzKTIhsq+hQ4em+gt/YGAgxYoVy1B/8+fP58qVK3Tv3p0tW7Zk6IKzVKlSHDp0iKdPnzJ16lStj+yMiopi5cqVtGnTBltbW2bPns0vv/xCWFgY48ePx9TUVKv9C5HVunTpousQktSqVSv+/fdfjh49mqZEbMeOHZk/f36qj1+xYkWyI90zQ5MmTdI000StVnPjxg0tRiRE7vLHH38kOQtF5Cyfk9WTJk0iJCSEEiVKcPPmzXg1/ZJibGwsiUWhFUr0s+SRm6xbt45ff/2VzZs3c/PmTTw8POI90kOSnCJTxcXF8f79e12HkakOHz6s6xCE0Dpzc3PKli2b7DGPHz+mR48emhUhM8re3p4rV67w+PFjWrVqRdu2bZk0aVKaR2VOmDCBWbNmMWzYMAoWLEizZs0yJb7E3L9/H1NTU9zc3NixYweHDx/G1NSUKVOmaOojCZHbhIeH6zqERHl4eNC8eXNq1KiR5nN79uzJ0aNH03SOtkeMly9fnu7du6f6+FKlSrFp0ybtBSRELuPn50e5cuV0HYbIBDNmzECtVlO+fHkKFSqEtbU11atX5+PHj0RHR+s6PCFEKn348IGnT59q1lmoXLkyVapU0fw3PaQgichUpqamKU5jzWmSq3X1/v17vLy80jy9TIjsJjg4OMmp6levXmX69Ok4ODgwd+7cTJ0aaWZmxs8//6x5vm/fPurXr8+OHTtS3U+5cuXijWbav39/psX3v7Zu3cqyZcuIjo7WjCBwdXXNNjVBhdCWkiVLcv369XQlEz/L7AShh4cHrq6urF27Nl3n6+npUadOHdzd3VOslfv06VO6deuGra1tuvpKLQsLC+7cuZPq458+fSr1OIVIJbVana5VekX29rnsUb9+/dDT08PR0VHHEYkv2aeanLK6elr069ePKlWqsHPnTll4SIjsoECBAhQoUCBVx4aEhBAcHEzhwoW1HJUQaefn55dkUnHUqFEcPHhQ61/wAdq3b4+rqytubm6oVCpGjhyZppsIKpUq00dUnjp1iiZNmjBhwgSuX7+eqW0LkRP06dOH7t27c/z48XS38eHDB16+fImTk1OGYjlz5gxz584lLi6Op0+fZmghQScnJ/z8/JLc//r1azZu3MjLly+zZMSkpaUlJUqU4PLly9SqVSvZY48fP06jRo1kBLkQqXTx4kUMDAwICgpKtv64yJl+++03Ro0aRbdu3WjevDlz5sxh8uTJug5LCJGCly9f8s8//1CyZMlMa1OmqwuRSk+ePMnQ+RYWFpLgFNlWyZIluXv3bqL7wsPDCQ0NzbJYHBwc2LdvH8uXL2fLli1Uq1aNgQMHpurcc+fOZdpUtPDwcGrWrEmTJk24c+cO8+bNy5R2hchpbGxsKFGiRIamrZuamtKhQwf27NmToVh27drFmDFjOHnyZIYSnAC2trZ8+PAh3rbg4GAWLFjAyJEj2bVrF25ubqxfvz7LFiuZMmUKbdu2TXJE58uXL+natSstWrRg586dWRKTELlB586dKVmyJGPGjNF1KEILrKys2LRpE3379iU2NpZp06Zx69YtXYclvjBKlX6WPHKTxo0bJ/kdNL1kJKcQqZSZdxeEyG5iYmLw9vZOdJ+pqalOEvRFihTRjJ5asGABw4cPZ/ny5cmes23bNvr27ZvhkRrt2rXjwIEDAIwcOTLT6pAKkVMFBARgZmaW7vPz5MnDrl27KFSoEK1bt8bExCTBMUuWLGHZsmVERkbi5ubGTz/9lOCYN2/e0Lx583TH8b8iIyM1ycuAgABsbGyoW7cuW7duTdMChZnJxMSEJ0+eYGlpyYgRI+jVqxfVqlVj5cqVeHp6Ur16dQoXLoxKpZKFM4RIpbCwMDp06ED79u05cuQI4eHhMgo6l6pevTpGRkaUKlVKrt2EyAG+/fZbRo8ejaenJy4uLhgaGsbb36ZNmzS3KUlOIYQQdOjQQZPU+y+1Wo2BgW4/Lp4+fcrHjx9TPO7EiRPs3LmTiIgIDhw4kK4PRoBevXpx4MABTpw4kWK9PiG+FB8+fMDOzi7d51tYWFCrVi3Wrl3L8OHDE+yfP38+vr6+xMXF0bhxY5YtW0aZMmXo0qUL586dA6BOnTrp7v+zo0ePcv/+ffz9/WnUqBGxsbFUrVoVf39/8uXLl+H2M8rCwgK1Wo1KpWLatGkcPHiQ8uXLs2rVKl2HJkSONH78eAwMDDA1NWXp0qXkyZMHtVqt67CEFvzzzz8oFArKly+Pvn7uGvEmsj9lnD6qOO3+u1Nruf2s9nk9l1mzZiXYp1Ao0lVLWZKcQgghMDAwSHK0cpEiRVCpVOjp6abCiYeHBydOnODZs2cpHuvg4MCrV6/o27cvixYtSneSc+/evQCS4BTi/wwePJg//viDqVOnZqidHTt20KRJkwRJzlOnTmkSqAYGBpqk5tWrVzl+/DiDBg2iaNGilChRIkP9+/j4sHjxYjp06MCKFSswNzfHzc2NmJgYHj9+jKura4baz0x6enr88ssvug5DiBxvwoQJFCtWDPg0O6N48eIEBARki5saIvNVrVpVa4tQCiEyV2YvTAmS5BRCaJFSqZS7qDlEWFhYkknM169fExMTk+j00qzQpk2beKunJ0WlUmk+KDdu3EiePHnS3ef27dvTfa4QuVG5cuUYNmxYhpOc165dSzCFcMqUKezdu5eLFy8mON7V1TVTE48DBgxgw4YNODo6MmDAADp37szly5extbWlUKFCmdaPECL7KFq0KGZmZkRERADw7NkzuT7Nxa5cuULLli11HYb4AinjDFDEaTfFptZy+7mBLDwkhNCauLg4XYcgUikkJCTJGpbm5uZZtujGf0VFRWFoaJiqld07duxIjx49NM+jo6PT3e/06dPp3Llzus8XIrcpUKAAXl5erFixIkPtLFy4kHnz5mluSrRv356nT5/i7e2dJaOqDAwMcHR0BD7dGImKisLGxobp06djb2+v9f6FELrxvyVv7t+/j6WlpQ6jEdoUGxuLj4+PrsMQQuiIJDmFEKny7Nkznj59mqZzjI2NtRSNyEwxMTFcv3490X07d+7ExMQk0Top2hYXF4eLiwvjx49P9rhTp05RrVo1qlWrxsiRIwHw9vbOUJK9VatWnDp1Kt3nC5Eb1apViyJFimSojfr169O7d2++/fZbWrduTbt27di1a1cmRZiy69ev8+7dOwDWrFnDw4cPad26NTNnztR57WEhhPaYmpoSERHB1KlTKVeunK7DEVoUEBDAw4cP+eeff3QdivjCKOP0UMbpa/khKbyUyNWcECJV9u7dS7Vq1TJcD01kP82aNaNRo0YJtsfFxTFr1iyWLFlCgwYNsjyuBw8eEBYWxvHjxzly5AgtW7akTp06ODs7ExAQwOrVq/H19WXv3r08ePAAKysrgoKC6Ny5M9euXWPy5Mnp7tvZ2ZmPHz+iVqtlBWMh/s+2bduYPXt2umrdfi6HMWPGjEyOKm3u3LlDly5dyJ8/Px4eHuzfvx9nZ2cGDBig07iEENpnampK48aNOXfuHPXr19d1OEJLXr58CcDPP/+c7trsQoicS5KcQmdKlCiR5pGBQnfGjRun6xCEFiVW8278+PEsWLCA5s2b6yAiqFChAm/fvgU+TStdvXo1q1at4uzZs5iYmFCjRg2+++47+vbti4WFBb1792bPnj00aNCAoKCgDPXt6ekJQGhoKBYWFhl9KULkCsWLF+fdu3e8ffuWggULpulcbRSWTw97e3vOnj0bb9vly5dlkTEhvhANGzbk559/liRnLla3bl2AVNVzF0LkPpLkFDrzOcEZExNDTExMhhYJEUKkn5eXF2fOnIm3LSoqiosXL7J48WLdBPUfenp6DB06NNF9r169wt7envLlyxMWFpYp/dna2mJqaioJTiH+Y/369QwbNozdu3cDn5KXO3fupFOnTjqr3ZtRZ86c0ZS6EELkflIzPndTq9X89ttvjB07VtehiC+MMk4fRZx2FzVTa7n9rNagQQP69+9Pp06dMDU1zZQ2ZUK/0DkjIyNJcAqhI0qlMkHx/Y8fP9KkSROmTZumo6hSb+nSpbi4uHD27FlOnz6dKW2Gh4dTunTpeIsYCSE+sbe3Z/DgwfTs2ZPY2Fg6derEr7/+So0aNZI9LzsnFZ48eYKZmZmuwxBCaFloaCgxMTFUrVqVkydP6jocoUVjxozRdQhCiFSoUqUK48aNw97engEDBnDlypUMtylJTiGE+IINGzYswcI+v/76KyNHjuSbb77RUVSpc+fOHdauXcvu3bszdRGBzytyrl27NtPaFCI3adq0KZMmTcLBwYHnz59z48YNYmJiOHLkSIJp6b6+vtSqVQt/f3+tx/Xx40e+/fZbChUqpFlcKCUnT57EyspKu4EJIbIFAwMDZs+eTdu2bblz5w4fPnzQdUhCi0aOHEl4eLiuwxBfkLg4feJitfzIZSM5lyxZgq+vLxs3bsTPz4/69evj7OzMwoULef/+fbralCSnEEJ8oaKjo9m5cycDBw6Mt93b25uOHTvqKKrUefz4Mf379+fWrVuZWktv165dLFy4kNDQ0ExrU4jcyNnZmXv37mFjY4ORkRHr1q1j69atNGzYkFatWtGuXTu+/vprvvrqK9atW5egDmZm69ChA4UKFaJgwYLs378fBwcHNm/enOTxYWFhVK9enaZNm7Jo0SKtxiaEyB5MTU2xtLTkzJkz1K9fnzVr1ug6JKFFS5cu1Sx6lxOo1Wru3r2r6zCEyHIGBgZ89913HDhwAB8fH7p3787UqVMpXLgw7dq149SpU2lrT0txZgulS5fm0aNHug5DCCGyJSMjI1QqVbzVw8+dO0dUVFS2vigMCQmhXbt2HD16NFNrAB47doz79+/LCE4hUqlAgQLUr1+fVatWMWTIEOrUqRNvf1xcHCqVSuu1Onfu3Im7uzvR0dGabVFRUVSsWBEbG5sEo9KVSiWurq7s27eP0qVLazU2IUT2MmLECBQKBfr6+ty8eZOnT59SokQJXYclMtmHDx/o27dvptX4yyp3796lUqVKug5DpJNaaYBaqeUUm7bb16Fr166xceNGdu3ahZ2dHX369OHNmzd88803DB06lIULF6aqnez7LTYTyIpqQgiRNIVCQcGCBeMlBry9vbP1NPWIiAgqVqzI3r17KVKkSKa1++7dO7Zt28asWbMyrU0hvgRTp07lwIEDie4zMDDQeoKzX79+jB8/nlevXiXoOzAwEBsbmwTntG7dWhKcQnyhDAwM0Nf/NN2zVatWnDt3TscRCW24fv061atX13UYaaJQKOjVq5euwxAiS/n5+bFo0SIqVKhAvXr1+PDhAzt37uTFixfMnDmTdevWceLECVavXp3qNnN1klNWxRVCiORFRUURERGhed67d+9se8EfEBCAq6srx48fp0yZMhlqy9vbW1N7E2Du3LksWbIkgxEK8WWytLQkKChIJ30HBgaydOnSBHU1Z8yYQenSpalVq1a87b1798be3l4SnEIIDA0NiY2N1XUYQgtOnjxJkyZNdB2G+NLE6WfNIxdxdHRk3bp19O7dGx8fH3bv3k2LFi3izTSsWLFiigtc/q9cmeR8+/YtMTExug5DCCGytRMnTvDq1Susra01296/f4+vr68Oo0pcTEwMRYoUwd/fn27duvHtt99mqD1nZ2cKFy7Mzz//zOnTp1EoFNja2mZStEJ8WaZNm8aMGTN00veff/5Jjx49NDdrateuTfPmzfH09OTw4cPxjo2OjubDhw9s2rRJB5EKIbKb9+/fc/HiRV2HIbRg/fr1lCxZUtdhCCFScPLkSby9vRk/fjz58+dP9BgLCwtOnz6d6jZzZZLTxMRE69OjhBAipxsyZAgBAQGa5yqVig4dOvDzzz/rMKrEffvttyxYsIA9e/Zw69YtAOrXr5/u9iZNmgR8Ss506tSJoUOHZkqcQnyJypcvz4EDB3QyIsrIyIiFCxdSqVIlBg4cSGRkJMePH2ffvn0JZvQMHDiQpUuXZnmMQojsqWzZsjLzLxfavHkzKpVKU5ZAiCwjIznTrF69epneZq6sWvq/o5KEEEIkzsHBId7fy71799K+fftMXa08swQEBDBkyBDN84MHDzJ37ly+//57VCoV69atw8zMLFVtqdVq5s6dy+3bt5k4cSKVKlWSqatCZNDRo0cZPnx4mmomZZZhw4bRsWNHtm7dyk8//ZToMQcOHMDCwoJSpUplcXRCiOzKxMQEBwcH/Pz8sLOz03U4IpNMnDiR5s2b6zoMIUQSqlSpEm86enI+D25Ji1yZ5BRCCJEyPT091Gq15kPGzc0twfTO7EClUmFpaZlg+6RJk6hZsybff/8933zzDevXr6dYsWLJthUVFcX06dOZOXMm9evXp2bNmsybN09boQvxxShbtixKpRJPT09cXFyyvH97e3vGjx+f6L7bt28zYcIEHjx4kMVRCSGyu3HjxjF16lS5FshF/vjjj3j15oXIMkoFxKUueZehPnK4du3aabX9XJfkjI2NxdDQUNdhCCFEtle5cmUuX75M7dq1CQgIoGnTptlyJcr58+dTrVq1RPdduXIFgAoVKmimqm7cuDHJ0VqmpqYsW7aMESNGALBnz55U30kUQiRv7dq1FC1alNu3b2ebWTVjx47l3r17eHp66joUIUQ2ZGhoSIUKFbh8+XKChcqyo/DwcPz8/Pjw4QOhoaHkzZuXN2/e8OTJE5o1a0alSpV0HaLObdiwgb/++itT2po/fz7jxo1DTy9XVvkTQiemT5+u1fZz3W+rJDiFECJ12rVrh5ubGwBWVlY8fPiQx48f6ziqhK5evUrLli2TPaZhw4a4u7uzZMkSunXrxsaNGxMcs2bNGgBGjBhB8eLFiYmJIW/evFqJWYgv1blz5zK8MFhmKVeuHCEhIRw/flyuD4UQSerRowf79+/XdRhJ+vDhAytWrGDp0qX89ddfeHl5oVarKViwIAqFAhcXF8aOHcvz58+ZMmUKHz584OHDh4SHh+s69Cz3+vVrihUrlmnrc/Tr14+QkJBMaUt8AeKy6CGSletGcgohhEidggUL8ubNG+DT1PX8+fPz119/MWXKFB1HFp+Pjw8NGzZM1bHVq1fn0qVLuLm5sX37dv7991/NvmfPngGfkqZfffWVNkIV4otXpEgRihcvruswqFChAr169dIsMiaEEElZvHgx8+fP59dff9VJ/2q1mmfPnmFsbEyBAgWIiIjg+fPnXLhwgbi4OPLly0fv3r1TvDHbrl07GjRowJw5cwgODqZgwYJ4enqyb98+Fi1axJgxY7LoFemGp6cnFStWJCYmJtPatLW1zbS2hBCf5MuXj0ePHmFra4u1tXWys+r+d5Hc1JIkpxBCfKFKly4db+XJn376iblz5+owosQlVo8zOUZGRqxdu5ZGjRqxYsUKhg0bBkBgYCD+/v7ky5dPG2EKIf5P/vz5dda3Wq3GwMCASZMmSYJTCJEqo0aN0skNXrVajaenJwcOHKBixYoolUo+fPiAubk5Tk5ODBgwAGNj4zS1aW1tzYIFCzTPV61aRUxMDGPHjuXOnTts2rQpVVOvR4wYwfz58zExMUnz69KFx48fa+pwysh9oTNZMdIyF4zkXLx4seamzZIlSzK9fUlyCiHEFyowMJDIyEjN8zp16hAcHExcXBwGBtnn48HMzAyVSpXmekinT5/m66+/5s2bN0yfPh0bGxtJcAqhReHh4eTJk4cKFSropP8TJ07QvHlzjh49SosWLXQSgxAi5/n48SNRUVFZ1l9YWBi3b9/G3d2d2rVrM2XKFK3VfGzatCm9e/fm3bt3lChRgvHjx6dqcbh///2Xn376iYULF2olrsz05s0bSpcuDUBwcLCOoxFCpKR3796J/n9myXU1OYUQQqROlSpV2LVrV7xtBgYGPH/+XEcRJbRhwwYOHjyIv79/ms89deoUefLkYfbs2UydOpUBAwZoIUIhxGefa6C5u7tnab9qtZrp06fTvHlzoqOjJcEphEiT/PnzZ9nI71WrVvH333+jp6fHrFmzaNGihVYXtSlVqhRmZmaaMiIVK1Zk5syZyZ5z8uRJvL29WbRokdbiykyOjo707t0btVqNhYWFrsMRX7IvuCbnwoULKV++PBUqVGDbtm3paiMqKoqQkJB4j/SQJKcQQnyhIiIiaNq0abxt3377bbZKEGzdupWnT5+ma/qrp6cnPXr0YNKkSTg7O1OsWDEtRCiE+MzQ0JAdO3bQsWPHLOvzwoUL2Nra4uTkhFqtzrTFJoQQuZ9arebx48fcvXuXY8eOab0/f39/TExM6Nu3L3Xq1NF6f/8VHh7Ojh07OHLkSLLH7d69m/Pnz9OzZ88siix9lEqlppbfpk2bdBuMEF8wT09PduzYwc2bN7l+/TorVqwgKCgoVeeGh4czbNgw7OzsMDc3x9raOt4jPSTJKYQQ2cTKlSsTrIQZFxeX5pqUqRUXF5egOPuoUaMoV66cVvpLj7i4uHQvYqKvr8+PP/5Iu3bt6Nu3byZHJoRITLdu3cibNy8XL17USvtz5szhl19+YfLkyQwePJgzZ87w4cMH+vXrp5X+hBC5V1hYGF999RV37tzh5s2b6W4nMDCQ8+fPM3r0aPbs2cPu3buJiIggIiKC27dv4+/vz/PnzxkxYoTOa1zevHmTunXrsmbNmnjb1Wo169evR6FQ0LNnT9zd3TE3N9dRlKnj4eEBwNu3b3UciRBfNm9vb2rVqoWJiQmmpqZUqlQp1TeOfvzxR06dOsWqVaswNjZm3bp1zJw5EwcHB7Zs2ZKueLJP0TUhhBAJGBgYaKW+0KpVq1i8eDFmZmbxtuvp6WXqqpQZ9fDhQ7755hsOHTqU5nOvX7/O3r17qVy5cuYHJoRI0rFjx3j9+jVLlixJMFr8v+Li4ujTpw9BQUHcuHGD9+/fA59uuBgaGuLg4EBISAhPnz7F3t6ef//9N0PJCCGE+EytVtOtWzf69OmT5nN//vln7t27R9WqVVGpVBQoUICKFSvy5s0bVqxYQadOnShUqBD58+fnwYMHdO/enREjRmBlZZXpryO1vLy8GDduHPb29vz++++cO3eO+vXro1arGTt2LK1bt0alUrF3714+fPjAoEGDUCqV8RapzE6qVq0KgL29vY4j0Z2wsDDu3btHzZo1dR2KgE9TyWOzoI80OnfuHAsWLODmzZu8ffuWffv20a5du3jH/P777yxYsIB3795RqVIlli9fzldffZWq9itUqMDMmTMJCgpCrVZz5swZTZ3clBw8eJAtW7bQsGFD+vbtS7169ShZsiROTk5s376dHj16pPXlSpJTCCGyi6FDh2ZZXxs3buTatWsJtjdp0oRKlSplWRwp+fDhAzdu3KBevXpUrlyZUqVKMXDgwGRHQqjVarZv3461tbUkOIXQgYYNG9KwYUO+/vprAGJjYzEwMECtVrNr1y7++OMPSpQoga+vLxcuXGDnzp188803wKdpS2q1mjx58gDw6NEjDh8+zIYNG7LtF20hRM5kYWHBqlWrKFSoEG3atElxQZ7g4GD27dvHTz/9hK2tLXfu3ElwTHR0NK6uroSGhlKzZk3Mzc0JDAzkzp07uLi4JLi5nJVq1Kih+f/8+fMzY8YM3N3dady4MSNGjKBJkyYAHDlyhClTptC0aVN++OEHJk+erKuQk6RWq6lSpQqnTp3SdSg6FR4ejqmpKTdv3qR69ep4eHikamEpkfP9t16lsbExxsbGiR4bHh5OpUqV6NevH999912C/X/++Sdjxoxh9erVuLq6smTJEpo3b87Dhw+xs7MDoHLlysTFJcywnjhxAmdnZ0aMGEHjxo2xtLSkZs2aqb5mCwgI0Mzas7CwICAgAIC6desyZMiQVLXxXwq1Wq1O15nZREhICJaWlgQHB0uhYSGESKV27dqxf//+eNuOHz/OmjVr2LNnj26CSsRPP/3ExYsXGTBgAG3atOH9+/dMnz6dPHny0LdvXzZu3Ej58uVp2LAh5cuXx9TUlJiYGJYuXcqIESN0Hb4QX7z69etz69YthgwZwsWLF5kzZw5lypTBzs5OkpZCiGxBrVazceNGTE1N6dKlS6ILAXl6ejJ8+HB+/fVXzp49y/jx4zX1IP8rLi4OPT09rS4olBHPnj1j/Pjx7N27lxo1anD79m2mTJnCjBkzAJg7dy6VKlXSJHVbtmyZ7cr+BAYGki9fPnJ4KiPTvH37FgcHB5ydnVm5ciUNGjTItLYl35Kyz+8RJ4LBXMvvUXgINEtYymz69Oma3+HkKBSKBCM5XV1dqVGjBitWrABApVJRuHBhhg8fzsSJE9Mc4g8//ED79u1p3bp1isdWrFiR5cuX06BBA5o2bUrlypVZuHAhy5YtY/78+fj4+KS5f0lyCiHEF+bGjRucO3eOMWPGxNvevXt3Zs6cSalSpXQUWeIiIyP59ttvcXR0ZOHChdja2uLj40PhwoXp0aMHs2bN4vfff+fixYuYm5vz77//JvnFQwiR9d68ecODBw+oW7dukqMMhBBC13bs2MHx48fZsmULjo6O+Pj40Lx5c44fP46dnR3379/HxsZG12FmmFKpJCoqirt379K4cWPMzc1ZsmQJbdq0oU2bNsCnUWF79uzBw8ODU6dOMXXqVB1HHZ9CocDCwkIrJZ1yKk2i7f8MGjSIX3/9NcO1/SXfkjJdJDlfv34d7+eR3EjO//XfJGdMTAxmZmbs3r07XuKzd+/eBAUFceDAgVSF5efnh52dHQ8fPqRTp07cunULA4OUJ44vXrwYfX19RowYwb///su3336LWq0mNjaW3377jZEjR6aq/3ivUZKcQgjx5YiIiKBFixacOHEi3pRvX19fKlWqxIcPH3QYXfKCg4Np2rQp169f13UoQgghhMjlVCoV9+7dIzAwMFNHxmU3J06cAODJkyesW7eORYsWYWVlRaVKlZg5cyYtW7Zk7NixXLp0KVuMnFy5ciVubm68ePECJycnXYeTbcTGxmJkZAR8qkv/uTzB48ePKVmyZLrblXxLyjRJziNZlORslf6fx3+TnL6+vhQqVIhLly5Rq1YtzXE//vgjZ8+e5erVq6lqt1atWgQHB2Nubs7q1aupVq1ammMDePnyJTdv3qRkyZJUrFgxXW1ITU4hhPiCjBo1ijVr1iSoaeng4EClSpVQqVTZdnpVdHS0XMwKIYQQIkvo6eml+0t2TtKsWTOioqLw8vKiTZs2nDx5ktmzZ9O7d2+ioqI4ceIEV65c0XWYwKfSAm5ubrx8+ZIiRYroOpxsxdDQkNu3b9O6dWuqVavG+/fvKVCgAB8/fsxQklOI1Lh8+XKmtOPk5JTh73uS5BRCiC+ESqXi1q1blChRIsG+mJgY3rx5Q0xMTLKL+ujSoUOHUr1SnxBCCCGESJ3Tp0/z119/4ezsrCn5ExgYyLZt28ibNy9qtRo9PT0UCoVOR3N+rvEnCc7EVa5cmePHj7No0SLNe7R7926Cg4OZPXs2586d03GEuVwc6Vr9PM19ZCJbW1v09fV5//59vO3v37/H3t4+czv7D5VKxaZNm9i7dy8vXrxAoVBQrFgxOnbsSM+ePdNdfix7DtcRQgiR6by9venduzeGhobxtr98+RIXFxdatWqVbROcAP369ePmzZtYWVnh6emp63CEEEIIIXKFli1bcuzYMc10dZVKxYEDB8ibNy9AvOSmLutgHj16VBKcKahQoQIFCxakS5cuACxatIidO3dy/vx5/Pz8dBydyG6MjIyoVq0aJ0+e1GxTqVScPHky3vT1zKZWq2nTpg0//PADb968wcXFhfLly/Py5Uv69OlD+/bt0922jOQUQogvwMOHD6lQoQJhYWEJ9tWvX5/58+drLoays+PHj/P+/XuOHTuGi4uLrsMRQgghhMgVPi9Qk9xCNZcvX2blypVMmjQpq8JK4M6dOzrrO6fo3r07Bw4c4O+//wYgf/78AJQuXZobN27I9HVtyaYjOcPCwnjy5Inm+fPnz7lz5w758uWjSJEijBkzht69e1O9enW++uorlixZQnh4OH379s3EwOPbtGkT586d4+TJkzRq1CjevlOnTtGuXTu2bNlCr1690ty2jOQUQohcbs+ePezevZs6depgbm4eb19UVBRRUVE5IsH52e3bt2WFZpGily9folQqdR2GEEIIkWtcu3YNZ2dnncZgbW2t0/5zAoVCwZ9//ql5vnDhQuDTKNyzZ8/qKiyhIzdu3KBKlSpUqVIFgDFjxlClShWmTZsGQJcuXVi4cCHTpk2jcuXK3Llzh2PHjlGgQAGtxbRz504mT56cIMEJ0LhxYyZOnMj27dvT1bYkOYUQIhcLDw+nY8eO/PTTTyxYsCDB/oiICJ1frKaFn58fmzdvpmvXrroORWRj3bt3Z9euXYSEhOg6FCGEECLXKFKkCBcvXtRpDNlhhfecQKFQsGjRIgBevXpFw4YNqV27Nm/fvpXRsNqi5P+P5tTWIx337xs2bIharU7w2LRpk+aYYcOG8fLlS6Kjo7l69Squrq5p7ygNPDw8aNGiRZL7W7Zsyd27d9PVtiQ5hRAil9PT0yMsLCzRuiomJiY55mKxX79+FChQgNWrV+s6FJHNrVq1im7dusloDyGEECITtWvXjoCAgHijBLVFpVKhVqt58+YNwcHBKBQKypcvn+7FSL5Eo0eP5uuvv8be3p7Tp0/Tp08fpk6dytatW4mLi8PPz4+wsDDc3d2pX78+rVu35uXLl7oOW3wBAgICkh0pWqBAAQIDA9PVtiQ5hRAiFzM3N2fmzJk8ePAg0f0mJibZerGh/3Xt2jU+fPiQbK0oIeBTPTFZmEAIkdk+fvzInj17dB2GEDq1bt06QkNDWbduHWfPnkWlUqXqvGPHjlG2bFlmzZqV5DF37txBoVCgUCgYOHAg3333He3atWPu3Lns3buXe/fuZdbL+CLExcXh7u6uWVRmwIAB7N27l+DgYMaOHUuBAgUYMWIER44c4ezZszg6OmJkZKTjqHMwbY/izIqan1lEqVRiYJD0EkH6+vrExaXvxSrUOWUITxJCQkKwtLQkODgYCwsLXYcjhBDZyt69eylQoADu7u7MmDEj0WMaNmzImTNnsjSutHj//j1z587FxsaGqVOn6jocIYQQQogv3qVLl3j06BFXr16lYMGCREdHU716dapWrYqTk1O8Y9+/f4+9vT3waTVnc3Nz/Pz84iU5IiIi6N27N40bN2bIkCFZ+lpyq7CwMPLmzUtISAh58+ZNsH/37t20bNlSU7PfxcUFT0/PeMdIviVln98jdgaDmZbfo4gQ6Jbzfx56enq0bNkyyXUWoqOjOXbsWLrq68vq6kIIkYv5+fkREBBAoUKFkjymffv2jB07VlO3R5tu3LiBjY0NxYoVS/IYpVKJh4cHGzduRKVSkS9fPiZMmEDBggW1Hp8QQgiRlJiYGGJiYsiTJ4+uQxFC52rXrk3t2rVp1aoVK1asYNSoURw+fJi///6b8+fPM3jwYFq2bMnmzZs5c+YMwcHBDB48GHd3dz5+/MiPP/7ITz/9xF9//cX06dNp3bo1GzZsSDQZJ9Ln33//ZceOHUm+px07dtT8/+bNm3NUnf5sKZuurp4d9e7dO8Vj0rOyOmTRSM7o6GhcXV25e/cut2/fpnLlypp9Hh4euLm5cf36dfLnz8/w4cP58ccfU9223FkQQojkxcTEYG5uTmxsbIJ9ffr04d27dyxevJhy5cppPZbPdZSWLl2Ks7MzcXFx+Pj4cP/+faytrYmNjcXIyIiSJUvSvHlzqakohBAi2wgMDCQyMhIHBwddhyJEthYbG8uCBQu4c+cOffr0oVWrVvH2h4eH8/PPP/Prr78C4OjoyOPHj3NMCaXsTqVScebMGTZv3sz8+fOTrX0YGBiIv78/Q4cO5fjx4wlqnkq+JWWakZxbs2gkZ09LSpcujb6+Pm5ubri5uWm3zxwmS0Zy/vjjjzg4OCRYHSkkJIRmzZrRtGlTVq9ejaenJ/369cPKyoqBAwdmRWhCCJHrGRkZMXjwYEJDQxPcyfXz8+PYsWNZHtPVq1epW7cuBgYGVK1alf79+0sheSGEENmatbW13HwTIhUMDQ2ZPHlykvvNzc2ZN28evXr14ttvv8XT05Pr169Tr169LIwy95o4cSLFihVj0aJF2NraJnpMXFwcv/zyC6Ghobx69Yq3b9/KtXhGxf7fQ9t9ANevX5ekcxK0vvDQ0aNHOXHiBAsXLkywb/v27cTExLBhwwbKly9P165dGTFiBL/99pu2wxJCiC/KihUr8PLyirdtxowZ+Pr6ZmkcN2/eBGDNmjVUrVqVihUrYmdnJxdVQgghhBC50Llz57h//36i+5ydnXn69Cne3t6UK1eObdu2ERsby/Pnz7M4ytzFwMAAlUqFvr5+ksdcvnwZa2trFi1axPbt27l9+3YWRiiE9mg1yfn+/XsGDBjA1q1bMTMzS7D/8uXL1K9fP94KXs2bN+fhw4dJLhcfHR1NSEhIvIcQQoik/fHHH8CnYuL/68CBA2zatClLY6lVqxaApsC5EEIIIYTIvYYPH86KFSuSPaZatWpYW1vTsWNH+vbtS/HixTl8+HAWRZj7zJkzhz59+rBkyRIGDBjAjRs3EhxTvXp1zp07B3ya9ZXcStcilZRZ9BDJ0lqSU61W06dPHwYPHkz16tUTPebdu3cJ6kN8fv7u3btEz5k7dy6WlpaaR+HChTM3cCGEyGUGDx7MvHnz4m1TqVTcv3+fChUqZFkcarWamJiYTzVrhNChhw8f4uPjo+swhBBCiFzP0dEx0QFP/6Wvr4+JiQn58+fHwsKCrl27ZkF0uZe5uTkzZ85k1apVzJkzh/8uxdK/f3/mz5+vo+iE0J40JzknTpyIQqFI9vHgwQOWL19OaGgokyZNytSAJ02aRHBwsObx+vXrTG1fCCFyk8+LDU2YMCHe6Ml3795hbm6epXdtVSoVAMHBwVnWpxCJOX/+fILyDUIIIYTIfIcPH2b27NmEhoZiZWXF6dOnkz1+4MCB6OvrExYWRkBAQBZFmXOp1Wr09fVRKBSa90upVKJUfhryZ2BgQMWKFYmMjNScs3v3bho3bkyJEiV0ErMQ2pTmJOfYsWPx9vZO9lG8eHFOnTrF5cuXMTY2xsDAgJIlSwKfhkV/Xi7e3t6e9+/fx2v/83N7e/tE+zc2NsbCwiLeQwghROJatGjBkCFDEmzfvn0748ePz9S+bt++jUKhoESJEly4cCHB/oiICABOnTqVqf0KkVY//PADzZs313UYQgghxBfB2NiYiIgIgoODady4MQqFIsHNxtDQUK5fv86CBQuIjIxk8+bN5MuXT0cR5wxRUVH07t2bKlWqAJ9u4sKnxGbPnj1Rq9Xs2bOHZ8+eaUbTXr9+nUePHvHDDz/oLO5cSwnEafkh09VTlOYhPPnz5yd//vwpHrds2TJ++eUXzXNfX1+aN2/On3/+iaurK/CpNtuUKVOIjY3F0NAQAHd3d8qUKSMrFwohRCa4cOECu3fvTrC9WrVqrFmzJlP7On36NOfPn6dChQps2rSJ7du34+TkhIGBAe/fvycgIIBHjx5RqlSpTO1XCCGEEEJkb69fv6ZLly7s2rWL0NBQfv/9d+bNm8f169d5+PAhAKtWrWLhwoWsW7cOAwMDevXqpeOos7fg4GAKFizIli1bmDJlCu3atdPs27lzJ97e3ty5c0czkCwgIIBly5axfv16HUUshPYp1P8tzqAlL168oFixYty+fZvKlSsDn34py5QpQ7NmzZgwYQL37t2jX79+LF68mIEDB6aq3ZCQECwtLQkODpZRnUII8R8DBw5k7dq1DBs2jJs3b9KiRQumT5/OuXPn+Pvvv1m2bFmm9fXq1SuqVKmCv79/prUphBBCCCFyPrVajZ6eHiqVCoVCodkeExNDZGQk169fp2nTpvGOzaJURY7166+/8tVXX9GoUSOUSiUNGjTg9OnTNGjQgMuXL3P16lVcXV0pV64cw4cP5/3794wfPz5NC4BKviVln98jVgSDqZbfo8gQGCY/j+TodAktS0tLTpw4gZubG9WqVcPW1pZp06alOsEphBAieWvXrgXQrGp5+fJlAKytrXn79m2m9uXo6CgrMwohhBBCiAQUCgX79u2jV69ebN26VbPdyMgIIyMjTYLz87Hdu3fXRZg5wrt372jYsCGzZ8+mUaNGwKeFmz6Xi7p06RL169enTJkyqNVq/Pz8CAoKonTp0roMW4gskWUjObVF7iwIIUTi/P39sbW11Txfu3YtAwYMAGDEiBFcvnyZa9euZVp/kZGRNGvWjGnTpvH8+XP27dtH48aNM732pxBCCCGEyJm+/vprzRTrpHxeuyOHpyq05rfffqNVq1aULVs20f3r1q2jePHiNG7cOMN9Sb4lZZqRnEuyaCTnKPl5JCfNCw8JIYTIGX7++WcWLlyoeT5v3jzN/586dYpLly5lan+mpqbs37+fZs2aMWjQIMzNzfnxxx8ztQ8hhBBCCJFzhYSEsHXrVsLDwxPdHxkZyfv37+nYsWMWR5YzKJVKHj16lGSCc8KECbx69SpTEpxC5ESS5BRCiFyqUKFCBAcHA2BhYcHTp08B8PLy0iwIlNlsbW3Zs2cPenp6fPfdd9SoUSPT+xBCCCGEEDnT0qVLARLUhVy1ahUKhUIzOu1zqSXx/8XExNCyZUsmTJiQ6H5fX19sbW2ZNWtWFkcmAO2vrP75IZIlSU4hhMilfvzxR77//nsA8uTJo1ll3dnZmdevX2tlZcVr167Ru3dvmjZtirOzc6aPFhVCCCGEEDlXzZo1GTVqFJUqVSIgIECz/ZdffgEgLu5TFqdAgQI6iS87UqlUtG/fnvnz57N582aKFSsWb79arWbVqlXMmzePESNG6ChKIbKHL2aFiJiYGAwNDeOt5CaEELlRbGws79+/R6FQUKZMGQD27t1L9+7dCQkJAWDAgAHMnz+f/v37Z1q/d+7c4aeffuLDhw+YmJhkWrtCCCGEECL3WLx4MZaWltjY2DBy5Eh69OiBr68vABMnTsTU1FTHEWYfXl5ebNmyhcWLF1O0aNFEj7l48SK3b99mzZo1WRuciE+J9kdaKrXcfi7wxYzknD9/Pnp6epLkFELken/99ReFCxdmx44dmJubY21tzfHjx3n27Blt27YFoHv37rx//x4PD49M67dHjx4cO3ZMEpxCCCGEECJZwcHBTJw4kTNnztCqVSumT5/OnTt3mDt3LtOmTdN1eDqlVCr5999/mTJlCseOHWPevHlJJjgDAgKYP38+a9eupWLFilkbqNCZGjVq4OzszO+//67rULKdL2Z19Rs3blCjRg2KFSuGp6cnRkZGGBoaZmGkQgiRdZ4/f07x4sU1z83MzIiIiOD169c4OjoSERFB1apVefDgQab1qVAoZBVMIYQQQgiRZtHR0RgbG+s6DJ2KjIxk6NChXLt2ja+++ooNGzYkOUjr/PnzXL16FWNjYypXrszAgQP5448/qF+/fqbGJKurp0yzuvrsYDDR8nsUFQJT5OeRnC9munr16tV58+YN9evX5+3bt5QsWVLXIQkhhFao1eoEq5pHREQA4OjoCICenh4fP36kc+fOfP/997Rp0ybL4xRCCCGEEAL44hOcgYGB5MuXTzMgITnTp0+nWbNmjBs3TrPN29tb2yEKkSN8MdPVARwcHHjy5IkkOIUQudatW7fo0qWLZpGh/zVgwADN/69du5b+/ftjaGjI5s2bM9SnUqnEwMAAMzOzDLUjhBBCCCHEl2bVqlXY2Nhw/PjxFBOcAFZWVtSpUycLIhNpEptFD5GsLyrJKYQQud2NGzdwcnJKtC7mtm3bNP9/+fJlDh8+jL6+frqTnNOmTUOhUGBgYIBSqSQ8PDzdcQshhBBCCPElUavVKBQKhg4dyv3792nWrFmK55w4cSLB6upCiP/vi6nJKYQQX4rw8HDy5MmT6L7ff/+doUOHap7b29vz6tUrjIyMUt3+iRMn2LlzJ5s2bSI2NhYvLy8qVKiAvr5+hmMXQgghhBDiS5AvXz4CAwPx8fGhUKFCKR6vVqupW7cuFy9ezILoPpF8S8o0NTmnZlFNzp/l55EcGckphBC5TNmyZRPd3q9fP5ydnTXPy5Urx+zZs9OU4PT09GTjxo1s3LgRtVqNgYEBlSpVkgSnEEIIIYQQqfQ5wQmfyuqlhp6eHj///LM2wxIix/tiFh4SQogvQUREBD4+PonuW79+veb/4+LiAGjdunWa2q9YsSL+/v7pD1AIIUSWOXLkCIULF8bFxUXXoQghhPgfnxOcFy9eJC4uDkNDw2SPnzRpEkCiJalENhH3fw9t9yGSJSM5hRAiF6lUqVKi27/66qt4z1+/fo1CocDe3j7NfeTLly9dsQkhhMhar169onDhwprnDx48YPLkyWzYsIGYmBgdRiaEEF+2u3fvAp/KQI0aNYrGjRszYsQIjhw5Eu+4ixcv0rBhQ9q2bYtaraZ27dq6CFeIHENGcgohRC6hUCg0/79+/XrevXvHlClTKFKkCFevXo13rJOTU7qSlVWqVEGhUPD+/Xvs7OwyHLMQQgjt6datm2bkPoCtrS358uXDx8eHqKioNJUrEUIIkXkqVqxIeHg4sbGxWFhYsGDBAhwdHTWzrCwtLTE3N8fX15fHjx9TsmRJHUcsRM4gSU4hhMhlhg0bRv/+/TXPX7x4keCYH374gXr16qW57Vu3bhETE4OxsTGFCxdm7NixmJub88MPP2QkZCGEEFpgaWkZ77mtrS3jxo3TUTRCCCH+l5mZGfCpjNSECROATwMKJk+eTIcOHeINYBA5gBLtTydXarn9XECmqwshRC6hVqtRq9UsX74cDw8Pzfb/XiD5+flx7ty5VK3imBgjIyNevHjBtWvXaN68Oe7u7lSpUiVDsQshhBBCCPElKlKkiOb/Z86cSceOHSXBKUQ6yUhOIYTIJcLDw+natSvHjh2LNz2xdOnSPHr0SPO8devW/PHHHzRp0iTdfTk5OQFgb29PgwYNNHeihRBCCCGEEKnn6+ur6xDiiY2NTXEhJJGIOEA/C/oQyZKRnEIIkUv4+vpy6NCheAlOgMePH6NQKAgJCeH58+dYWlpmKMH5X25ubpQqVSrT2hNCCCGEECI38/PzIzQ0VNdhJOrWrVu6DkGIdJMkpxBC5AKPHj2idOnSyR6jp6dHsWLFCAoKypQ+b9++jUKhwMDAgJEjR2ZKm0IIIYQQQuR2gYGBvH//XtdhJMrV1VXXIeRMsVn0EMmS6epCCJELXL58Ocl9ISEhGBsbY2RkxMyZMylTpkyG+nr58iXt2rXDysqKW7duST1OIYQQOrN48WIAevXqRUREBIULF9ZxREIIkbKMXo8LIRInSU4hhMgFzM3NE93etWtX8ubNC8CePXs4efIkS5YsSXc/+/btY9u2bVy4cCHJPoUQQoisEhQUxKxZsxgzZgzW1tb4+/sTExODkZGRLNwhhBAi6yjR/urnsrp6ihRqtVqt6yAyIiQkBEtLS4KDg7GwsNB1OEIIoRPJfZHz8/Nj5cqV7Nq1i5s3b6Z7kaCwsDDq1q3LnTt30hmlEEIIkbkS+/yzsbGhQ4cO/PHHHzqISAghcg/Jt6Ts83vE0GAw1vJ7FB0CKy0pXbo0+vr6uLm54ebmpt0+cxgZySmEELnA0aNHadmyZaL7ihYtSps2bdi7d2+GVkF//Pgxo0ePTvf5QgghRGaKjY2lQIECCera+fv7U79+fR1FJYQQOZe/vz958+bFyMhI16HkPEq0v/r5/43kvH79uiSdkyALDwkhRC5QtWrVJPdFRERgbm5OuXLlMtTHrl27+PrrrzPUhhBCCJFZDA0NWbt2LfXr12fu3LmsW7eORo0a0blzZ3r06KHr8IQQIsfZu3dvtl0QSYjUkJGcQgiRC5ibm9O/f3/Wr1+fYN/q1avZt29futq9f/8+mzZtQq1WU6NGDRwcHDIaqhBCCJFpvvnmG1q2bImBwaevNf3799dxREIIkXMNGDBA1yHkXHFofxihtkeK5gKS5BRCiFzA3Nwcd3f3RPcNHjyYVq1aERISwsOHDwkKCkrViMzt27dz5coV5syZo1m8SAghhMhOFAqFJsEphBA5gUKhoG3btuzfv1/XoQiR68h0dSGEyCWqVKmS5L7w8HCaNGnC+vXrGTNmDC9fvkyxPXd3d5YvX67VBOfixYvx8/PTWvtCCCGEEEJkFwsXLgSQusG5UWwWPUSyJMkphBC5xP79+3n8+HGi+86cOcP169dZvXo1SqUyxbbGjx/P5s2bMzvEBObNm4e9vT2NGjXizJkz1KlThwULFhAREcH8+fN58+aN1mMQQgghhBAiK4wYMYK9e/fKYp5CaIkkOYUQIhcpVapUotvHjRuHQqHg119/xcTEhIIFCybbzldffUXp0qU5evSoNsLUOHLkCGq1mjNnztCoUSMuXbrEjz/+iLm5ORMmTMDR0RGFQoFCoSA8PFyrsQghhBBCCKFNRkZGtG/fHoVCoetQRGZTZtFDJEuSnEIIkYuYmZklun3RokUATJw4kdu3b9O9e3fi4hKvXB0XF8fRo0d59OgRv//+u9ZitbS0pHr16vGmwxcqVCjJ42VUpxBCCCGEEEKIpEiVbiGEyEUmT57MTz/9lOwxc+bMwcrKiq5du6KnF/9el1qtRqlUEhsbS8OGDWnWrBlTp07l559/zvRYr169Srly5QgNDdVsSyyROXv2bEaOHIm5uXmmxyCEEEIIIYQQGSarq2cLkuQUQohcxMzMDIVCgVqtjrf9f7dNnjyZJUuWMGPGDEqVKoWxsbHmuNevX3Ps2DFGjhzJ5MmTmTp1KpGRkYwaNQobG5tMjbVs2bKo1Wp+++03lEolvXv3pkCBAgB07doVFxcXJk+enKl9CiGEEEIIkd1NnjwZLy8vDhw4oOtQhMhRFOr/fhPOYUJCQrC0tCQ4OBgLCwtdhyOEEDoVHh7O5cuX+frrr5M9ztLSkkqVKnHx4kV2795N+/btAShSpAhly5alXbt2/Pvvv7x69Yrbt28TGRmJoaGh1uN//vw5ERERnD17lqFDh2q9PyGEEF+uuLg4DAxkzIcQIvupVKkSNjY2nDp1SqdxSL4lZZ/fIzoGg6GW36PYENgtP4/kyKe6EELkIubm5jRt2jTF44KDg3FyciJfvnwcPnwYAGtra9RqNX/++SdWVlYMGTKEkJAQ7O3tMTIySjA6VBuKFSsGQPny5bXelxBCiC+Pr68vBQsW5NChQ7Rp0wZnZ2e8vLx0HZYQQsRz9+5dXYcgRI4kCw8JIUQu9P79e6ytrZM9ZuvWraxYsYKKFSty7do1AgMD6du3L0uXLqVDhw68efMGlUqFiYkJXbp0ISwsLIuiF0IIIbTDwcEBhULBt99+y507dzh//ryuQxJCCCFEJpEkpxBC5EJ2dnYEBARQt27dJI9xdHRk7dq1rFu3jj59+gCfanK+ffuWUqVKkS9fPgC+/fZbFi1aRMWKFTWjPkX6SKJYCCGyj0qVKmk+64QQQogMic2ih0iWJDmFECIXO3/+PBMmTEh0n4+PDzNnzsTDw4P79+8DsGPHDoYPH868efMwNTXVHFuoUCGOHTvG5s2bGTduHG/fvs2S+HObPHnyJLs/NjYWtVpNbGwsTk5OKBSKeI9Ro0ZlTaBCCCGEEEIIkcNIklMIIXK5MWPGULBgQczNzVM8Njo6mgoVKmiSas+ePUOhUABQunRp/vrrL8aOHcuiRYvo1KkTgYGB2g7/i2JoaIhCocDQ0JCXL19y9OjRePuXLl2KQqHgyZMnOopQZJV3794xfvx4XYchhBBCfJHUajU+Pj66DkPkJMoseohkSZJTCCFyOTs7Ox4/fsz8+fO5d+8eRkZGqT43JiaGqKgoxo8fj0qlQq1WU7BgQRYuXMi8efNYuXIl48ePZ8CAASgUCoKCgujTp48mSXrt2jUtvrLcr0WLFqjVai5cuMCOHTs020uVKkVwcLAOIxPaZmNjw/fff6/rMIQQQogvUqNGjShcuLCuwxBCpJFCnRXL5WpRSEgIlpaWBAcHY2FhoetwhBAi2wsPD2fjxo0cPXqUI0eOpPo8e3t7AgICiImJwdDQkL59+6JSqVi3bh358uWjYsWKHDt2DBMTEwBq1aqFu7t7qkaQitT7PLLWz8+P/Pnzo1Qq8ff3x87OTseRCSGEEELkDm/fvsXS0hIzMzNdh6JTkm9J2ef3iBbBYKjl9yg2BI7JzyM5kuQUQogvVHh4OABBQUHUrl2bV69epeo8FxcXPD09AQgMDMTKykpbIQohhBBCCJHlVCoVenoy8VXyLSnTRZKzdOnS6Ovr4+bmhpubm3b7zGEMdB2AEEII3fg8wtLc3JyXL1/i5eVF1apVNQvfJHZ8eHg4np6e/PbbbwCS4BRCCCGEELmOJDhFmsUBiizoA7h+/boknZMgv7lCCCEAKF++PNHR0cTExBAQEEDXrl15+PAharWa6OhozchPgLp16zJw4EAdRiuEEEIIIYQQQvx/MpJTCCFEAtbW1uzcuVPz3MjICLVazb1799i8eTPOzs5Sa/MLsH//ftq1a6frMIQQQgghhMje4nJJHzmcjOQUQgiRahUqVGDBggWS4PxCtGvXjsuXL6NSqXQdihBCCCGEEEIkS0ZyCiGEECJJ+fPnJywsjLCwMBwcHHQdjhBCCCGEENmPEu3X5FRquf1cQEZyCiGEECJJJUuW5NatW/j5+ek6FCGEEEIIIYRIkozkFEIIIUSyGjZsiFIpt46FEEIIIYRIlNTkzBZkJKcQQgghUrRr1y6ePn2q6zCEEEIIIYQQIlEyklMIIYQQKerWrZuM5hRCCCGEECIxMpIzW5CRnEIIIYRIkaenJ25ubroOQwghhBBCCCESpdUk5+HDh3F1dcXU1BRra2vatWsXb/+rV69o3bo1ZmZm2NnZMX78eOLiJDUthBBCZDdFixZlzZo1ug5DCCGEEEKI7CcOiNXyQ9JlKdJaknPPnj307NmTvn37cvfuXS5evEj37t01+5VKJa1btyYmJoZLly6xefNmNm3axLRp07QVkhBCCCHSaevWrboOQQghhBBCCCGSpFCr1erMbjQuLo6iRYsyc+ZM+vfvn+gxR48e5ZtvvsHX15cCBQoAsHr1aiZMmMCHDx8wMjJKVV8hISFYWloSHByMhYVFpr0GIYQQ4kt369YtNm7cyOLFizEwkDLeQgghhBC5zeeUkEKhSLBP8i0p+/weUSUY9LX8HilD4Lb8PJKjlZGct27d4s2bN+jp6VGlShUKFixIy5YtuXfvnuaYy5cv4+LioklwAjRv3pyQkBC8vLySbDs6OpqQkJB4DyGEEEJkvqpVq7J8+XJJcAohhBBC5FIKhQItjH378iiz6CGSpZUk57NnzwCYMWMGP/30E4cOHcLa2pqGDRsSEBAAwLt37+IlOAHN83fv3iXZ9ty5c7G0tNQ8ChcurI2XIIQQQgghhBBCCJHr6enJmtQid0jTv+SJEyeiUCiSfTx48ACVSgXAlClT6NChA9WqVWPjxo0oFAr+/vvvDAU8adIkgoODNY/Xr19nqD0hhBAiPQYMGMDo0aO5ffs2UVFRug5HCCGEEEIIoStxWfQQyUrT/LOxY8fSp0+fZI8pXrw4b9++BcDZ2Vmz3djYmOLFi/Pq1SsA7O3tuXbtWrxz379/r9mXFGNjY4yNjdMSthBCCJGp1Go1VatW5enTp1StWpURI0awbNky3rx5g4ODg67DE0IIIYQQQogvTpqSnPnz5yd//vwpHletWjWMjY15+PAhdevWBSA2NpYXL17g5OQEQK1atZg9ezZ+fn7Y2dkB4O7ujoWFRbzkqBBCCJGcV69eUb58eYyNjRk/fjydOnVi9+7d/Pjjj1rrU6FQMGTIEAAWLlwIwNKlS7XWnxBCCCGEECIbiwO0XdpUanKmSCsrCVhYWDB48GCmT59O4cKFcXJyYsGCBQB06tQJgGbNmuHs7EzPnj2ZP38+796946effsLNzU1GagohhEi1IkWK8Pfff9OwYUNMTEy4fv065cuX13VYQgghhBBCCCGykNaWS12wYAEGBgb07NmTyMhIXF1dOXXqFNbW1gDo6+tz6NAhhgwZQq1atTA3N6d3797MmjVLWyEJIYTIYWJiYoiNjeXq1au4urpibm6e6HEtWrTQ/H+NGjWyKjwhhBBCCCGE+DSSU6XlPrTdfi6gUKvV2h5Qq1UhISFYWloSHByMhYWFrsMRQgiRCR4/foyLiwvR0dGabb/++qtWp6ALIYQQQggh/j/Jt6Ts83tE8WDQ0/J7pAqBZ/LzSI7WRnIKIYQQKVEqlaxdu5aSJUvi7u7OH3/8QXBwMI0aNaJhw4a0b9+eNm3aULBgQV2HKoQQQgghhBCJU6L9mpwykjNFkuQUQgiRZT4vNhcTE4OLiwtv3rwhPDxcs79z584sWLCAIkWK6DBKIYQQQgghhMieatSogb6+Pm5ubri5uek6nGxFkpxCCCGyROvWrQkNDeXs2bMYGRnh7u5OkSJFKFmyJD179mT69OnJnq9UKomJicHQ0JBmzZoREBBAly5dsLKyolGjRhQvXhwjI6MsejVCCCGEEEII8X/iAD0t9/F/IzmvX78u09WTIDU5hRBCZJmdO3cyZMgQAgMDUSgUCfbHxcVhYPDp/tvff/+NUqlk9+7dFC9enEePHvHs2TPy589PSEgIDx8+xNTUFHt7e1QqFdOmTaNTp05Z/ZKEEEIIIYTIlSTfkjJNTc5CWVST8438PJIjIzmFEEJkmW7dutGtWzd69erFunXriIyMxMrKCk9PT8qVK0fHjh1p1KgR9+7dw9TUlGbNmhESEsKCBQsAcHJywtDQEAsLC/bs2cPVq1cZOHAgdnZ2On5lQgghhBBCiC9WFo7kFEmTJKcQQogscezYMRYsWMDjx4+pWbMm48ePR6X69Em9a9cu/P39CQwM5OzZs+zatYtVq1YxdepU7ty5A4ChoSHv3r3j/v37mJmZAfD111/r6uUIIYQQQgghhMhGJMkphBBCK65du0bXrl15/vw5ZcqUwdfXl9DQUABatGjBihUrUKlU/Pnnn3Tu3Jlr165x/Phxbt++TZcuXdi/fz93796lUqVKAMTGxgKfCm1///33TJo0SWevTQghhBBCCCE0YpGRnNmAtn8EQgghvkD169encePG9O3bF4CHDx8SExOj2b927VoKFSpEXFwcSqWSEiVKcOPGDXx8fGjevDn9+/dnxowZVKxYEZVKRUBAABs2bGDcuHEcOnRIEpxCCCGEEEIIIeKRhYeEEEJkuhcvXuDi4kJUVBRKpRK1Wo2JiQm9evVi/PjxbNy4EQMDA4KCgrCzs6N8+fL8/fffjBw5Ej09PapXr67rlyCEEEKITOLr64udnZ1mcUEhRM4g+ZaUaRYesgoGhZbfI3UIBMnPIznyKSOEECJD1Go1q1evJigoSDPC8sOHD4SFhXHp0iVev37Nhw8fcHNz4+PHj+TPn5/GjRuzfPlynJ2dAQgKCgJg7969vH79mu3bt+vq5QghhBAijWJjYzl16hQhISG4urpSpEiRePsHDRrEoUOHePjwIaVLl9ZRlEIIIXI7SXIKIYRItzNnztCoUSMAXFxccHR05NGjR/zyyy8ArF+/nnXr1mmO19PT0xz7OcEJYGVlRbt27WjXrl3WBS+EEEJ8AW7fvo2HhwedOnXSLNyX2UaOHMmtW7eoVq0a//zzD1u3bo23f+zYsfTt21dTmzsrhYeHExQURKFChbK8byHEFyQOUGi5jxw9DztrSJJTCCFEmkVERPD48WN27NiBQqHAwsKCly9fsmLFCq5du8bSpUsZPHgwRkZG8c5r2bIlR48excLCgu+//54bN25gbGzMypUrqVOnjo5ejRBCfBl8fX25cOEC796902xTqT6tYqBWqzU3ohQKhWZf3bp1qVatmmabyHnCw8N59uwZ0dHRqU5y3r17l9evX1O+fHmKFSuW4vGjRo2iadOmmJqaEhISwogRIyhZsiRqtZrY2Fj09fXx9/fHy8uL8+fPY2trS7ly5ahWrVpGXx7w6d/v5cuXuXHjBiqVSvPvVa1WY2ZmRmxsLNHR0cTExNCuXTvKli2bKf1mdy9evCA2NhY7O7tP02n/h7+/PzY2NjqKTAghtENqcgohhEg1tVpNpUqVePToEYUKFeLy5cv8/PPPrFixgrZt27J06VJMTU2xs7NjzZo1DBo0iFGjRtGlSxeWLVuGk5MTS5YsISoqCgMDA+Li4vj+++9Zt24dxsbGun55QgiRqzx58oTDhw+jUCgICAjA2tqaDh06UKhQoVQlLePi4ti0aRMeHh60atWKAgUK4OzsLH+vtSg4OBgTExOdv8ffffcdNjY2hIeH06RJE/r37w9AVFQUly5dolixYprk59OnT6lXrx5bt27l1atX7N69m1WrViWYsg5oEpAfP37k5s2bPHr0SLMIoYGBAfb29hQpUoTy5ctjZWWVqlhVKhX6+vocO3aMRo0aJbjB+r8iIiKYOXMmhw4dwsvLK+1vTCZ7+fIl169fR6lU4uDgQL58+XB2dk729zMiIoLNmzfz5MkTfHx8qFq1KiqVCmNjYxQKBUqlktDQUPLkyUOxYsUwNjbGw8MDLy8vvvrqK8zMzDh37hxBQUFER0dTp04dihcvjqmpKUFBQRgbG2NnZ0fDhg0xMTHJwncj55o3bx758+fX/J7kJpJvSZmmJmeeLKrJGSY/j+RIklMIIUSKHj9+zO+//06ZMmW4du0aU6dO5cyZMzx69IhHjx6xb98+Pn+cREVFERERgY2NDT179mTDhg2sW7eOIUOGMGvWLMaNG8f69esZNmwYISEh8rdbCCEy6P79+/j4+FC7dm3y5Mmj2d6pUyfWr1+PgYFBhqYpFy5cGB8fH/r06UNUVBSmpqZs2LAhM0IX/6Nx48ZUr16dHj16ULZsWXbt2kWFChXijXaMiYnB0NAQIF4i7POIXC8vL06fPk1sbCzwqUxMWFiYJlllYGCAUqnk1q1btGrVimfPnmFqaopCoeDYsWN07tyZN2/eYGFhQVxcHL6+vly7do3GjRtjbGyMnp4eU6dOBWDFihUsW7aM3r178+LFC3bt2oWnpydOTk7pev1qtRo/Pz8uXbrE27dviY6OBuDOnTsULlyYhg0b0rRp03jnKJVKjh8/TuvWrXn8+DElS5ZMsZ+AgADq1q3LDz/8QFhYGObm5uTPn59evXqlK+7/jUVfXz/etoiICPz8/AgPD+fw4cM8ffqUMmXKULNmTY4fP46+vj5dunTBy8uL/v37ExQUREhICHnz5k20D39/f9q2bcuaNWvilf1JjW7dumFlZcWgQYMoVKgQtra2REZGYmZmxqVLl1i0aBHbtm0jKCiI+/fvs27dOvLmzYuDgwNWVlb4+flhZGRErVq1KFy4MEZGRlhYWGBnZ4darf6iR3s/fvyY/v37s2rVKp49e8a3336r65AyjeRbUqZJcppkUZIzSn4eyZEkpxBCiCRFRUUxevRo8ufPz88//4yjoyM2Nja4uLiwa9cu3rx5oxktUKBAAb755hsOHz5Mnz59iImJwcXFhYkTJwJw69YtChYsSMGCBXX8qoQQIncZPHgwd+7coXnz5syaNQt3d3fKlSvHiRMn6NevH8uXL2fYsGHpbn/Pnj107NgRgKVLl2JtbY2RkRENGjSgQIECX3RyI7NER0fz5s0bGjRogI+PD/Pnz2f79u0MHjyY2NhYYmNjUSqVGBsb8/r1a2xtbVGr1RgYGGhWLI+OjqZEiRK0aNEiXrL7v9RqNRs3bqRatWpUrFhR8/Pz8fFBX18fOzu7BMm64OBgzXTn3377jQMHDjBr1iy++uorTE1NtfSufDJ8+HB69+6Nl5cXFy9exMrKChsbG3x8fPD398fNzQ1jY2OcnZ3TlMx/9+4dgYGBXLt2DQ8PDxYuXIhKpWL//v2YmZnRvHlzVCoV/v7+vHnzhipVqqBQKFCpVLx8+ZKTJ09y8OBBLl++jLOzM7169aJJkyaMGTOGWrVqERERgZ2dHQUKFCAmJoZmzZphYWHB1q1bMTExoWnTptja2mriUavVtG3bljt37lC9enUmTpxITEwMlSpVIiIiAoAJEyZQqlQppkyZkunvc0rUajUhISFMnjwZV1dXzMzMCA8Px8PDgwIFCmBsbMyzZ89o3rw5YWFhPHv2DGNjY3x9ffnhhx949uwZzZo1S/BvKzdRq9UULFgQDw8P7OzsdB1OppB8S8okyZm9SJJTCCFEoj58+EDv3r1Zt24d//zzD0OGDAFg06ZN9OnTB/j0BaFAgQKsWbOG8PBwxowZw7hx41iwYIEOIxdCiNwnJiaG7du3ExQURGhoKF27dtWsUv35b7CXlxfr169nwoQJ/Prrr0ybNo1Zs2YBkN5L/iFDhrB69WqqV6/OiBEjUCqVBAUFUbduXfr160f58uXZtWsX8GmEnIGBAdHR0YSGhmJkZCSLvSThw4cP7Nmzh+fPnxMTE0OpUqW4evUq5cqVw9fXl/r162Nvb09UVBRfffWVfM/5HxkZNTh79mwMDAx4+vQpxsbGeHt7U6RIEezs7AgLC8PMzIxSpUrh7e2Nra0tvr6+uLq64ubmRuXKlTl//rymrXz58vHNN99QokQJlEolVlZW2NvbU6ZMGapWrZru17d48WJKly6NQqEgNjYWT09PDA0NCQ8Pp3r16rRp0ybdbWubUqnkwYMH5MmTRzOit2/fvty+fZu7d+9y8+bNDL03OZGvry/z5s1j6dKlOfKGkORbUqZJcupnUZJTKT+P5EiSUwghRKKqVavG5s2b2bJlCwsWLKBDhw7s2bMHCwsLQkJCyJMnDyEhISgUChQKBZ07d8bc3Jzo6Gi2b9+u6/CFECJHU6vVhIWF4e/vT1RUFOfOnWPQoEEcPHgw3lTIzp07M3HiRIYOHcqwYcOwtbWlefPmmRrLhQsXcHFxSbBwyWe+vr707NmTokWLsmHDBrZt24aZmRkhISHcuXMHX19fqlSpgomJCRERERQsWJCoqCgiIyPR09NDoVCgVqtRq9WUKFECGxsbjIyMsLe3x8HBIVUjv6Kjo1EoFMnWY9QFlUrFs2fP+PjxI/fu3ePDhw9ERUUxa9Yszp49S/369XUd4hfj5cuXdOnShfbt22NiYoJSqaRNmzYUK1YsVf/GwsLCGDFiBG3btqVMmTI4OTlpfRRrbhAbG4uRkRHXrl2jUqVKLFu2jHv37uHs7Iyenh59+/bN1QsgvXr1CicnJwIDA1NdZzY7kXxLyiTJmb1IklMIIUSifHx8NFPUx4wZw/Hjx9m9ezc7d+4E4O3bt9jb22sK/q9evRo/Pz+6deuWqppYQgghPgkNDSU6OhofHx8ePHhAaGgoAwcOZM2aNfj6+nLv3j1mzZrFv//+y9ChQzl27Bjz5s3DwcGBESNGULduXb777jt2796dI0YKfa7t998v/EqlkmfPnhEcHExMTAzv3r3jzZs3qNVqzYJ18KmupFqtRqVSoaenh1qtJjQ0lNOnT3Pq1CkdvKJPtRefP3/OnTt38PPz0ywAo6+vj5OTE3nz5qVkyZLY29tjZGSEj48Pjo6OmhXthcitnJycKFq0KC4uLjg5OdGlSxdCQ0OJjIzk+vXrDB06lCZNmrB582YZ+Z0NSb4lZZokJ1mU5ER+HsmRJKcQQog0+fyFcuPGjfTp04fHjx9rpkwCXLlyBVdXVx1GKIQQ2V9cXByzZ8/mxo0bNGnSBEtLS/T19XF2dsba2pro6OhULyxy+PBhGjdu/MWPKps6dSrffPNNln0GnTx5klu3bmFoaIixsTElSpSgUqVKFChQIEv6FyIn+FxT9vMCV/9169YtzeJakZGRBAcHY2trG290rUqlIiIiAhMTEwwMDFCpVLx69YoiRYokeaMgNDSUf/75hxo1asS7ThVpI/mWlEmSM3sx0HUAQgghcpbevXuzadMmunXrBkCpUqV4+PAhZcqUYfjw4ZQsWZJx48bh6+vLyZMniY2NJW/evFy6dCnBHfrIyEhiY2PlQ1oIoXN+fn58/PgRhUKBlZUVtra2mlWsM8PNmzfZsmULtra2WFhYEBsbi52dHQcPHsxw261bt86ECHM+f39/unbtyrJly7S+uvHu3bvp3bs34eHhWu1HiJzO0NAw2b+lVatWxdvbm7lz57Jo0SKKFCnC0aNHMTQ0xMLCQlOD9fHjx/j5+dG7d2/gU3L022+/pUWLFvj7+2uuMT+P+D58+DB9+/Zl3bp19OjRg9atWzNjxgytv17xhcvRQwhzBxnJKYQQX6DLly9z8+ZNYmNjUalUBAYGYmRkhEKhYOrUqUmet379etasWUOtWrVYsmRJvH0vX77k/v37XLlyRbPQhYmJCVFRUZoV2P/r+PHjzJkzh1OnTuXq1TaFENnXhg0b+PDhA46OjhQoUIC3b98yaNAgpk2bxsSJE9PdbkBAAL/88guOjo6aacuDBw9O0+rPIvWaNGnCqVOn2LZtG15eXsyYMUNr9TnLly/PN998g7m5OdOmTdNKH0KI5K1evZqbN2/y559/snjxYj58+EBkZCShoaHo6+ujVCoxMjJi3rx5tG7dmvDwcF6+fMnPP/9Mvnz5aNq0abar4ZsdSb4lZfFGcqLt90hGcqZEkpxCCPGFef/+PQ4ODnz8+BFra+t4+xQKBb///jtDhw7VbBs4cCANGjSgS5cu6Ovrs3btWgYNGkR4eHiyX9bv37/P77//zsqVK9m+fTslS5Zk165dVK5cmR49ekhSUwiRJSIjI9m7dy8uLi5UrFiRLVu2YG5uTocOHQAYPHgw7dq1o0WLFrx79w5XV1f69u3Lzp07adSoEc7Ozri5uaX5b9acOXMICwtjzpw52nhZ4n+8evWKKVOmcOjQIc6dO4eLi0umtv/hwwdWrFhBXFwc/v7+BAYG8ueff2ZqH0KI9ImJiUl1sjIgIIBixYrh7OxMiRIlKFGiBIaGhgQEBFC1alUuX75Mnjx5qFq1KlWqVKFIkSKYmJho+RVkb5JvSZkkObMXSXIKIcQXYs6cObx58wYzMzPMzMyYNWsWSqUyXi2jCxcusGXLFt6+fcvu3bsZNWoUBw8epHPnztjZ2fH06VPevXvHjh07yJs3b6r7Xr16NQ8fPuTmzZtUrVoVT09PTp48qY2XKYQQAPz111906tQJtVrN/fv3yZs3L05OTgmOU6vVjBkzhhYtWiS6KrmFhQX37t3D1taWiIgIfH19MTMz0yyw9nkq5ZUrV6hZs6bmvLp16wKf/q4K7VmwYAE//vgjLVq0oEOHDnTv3j3Vo2Wjo6MJCgpKtIbmxo0b8fLy4tatW9SsWZMePXpQvnz5zA5fCJENqNVqXFxcGDhwICNGjODWrVucOHGCK1euULJkSWxsbMiTJw/Dhw/XdahZTvItKZMkZ/YiSU4hhMgF3rx5w8aNG5k6dSq//fYbFy5cYN68eZQqVUpzTEREBNu2bePu3busXLmSevXqce7cuUTb27x5M5GRkQwePJiqVauybt06qlatmqEYP378SOvWrSlbtixLly7l6NGj2NjY0KxZswy1K4TIOr6+vgwfPpzq1aszb948Vq1aRffu3XUdFk+fPuX48eMYGxtTqVIl3r59y5YtW/j7779TdX7VqlU5cOAAhQsXTrBv9uzZGBgYYGlpSXh4OAYGBiiVSvbv34+fnx/+/v6o1WoqV67M8ePHGT16NDt27KBJkyasWLGC/PnzZ/bLFcCsWbN48OABf/zxB9WrV8fExIS7d++meF5ISAhGRkYcPXqUXbt28eDBA1xdXfn333+pVKkS5cqVIyQkhJUrV+Lt7U2ZMmWy4NUIIbKzV69eUb9+fQIDAwkODtZ1OFlK8i0pkyRn9iJJTiGEyAX27dvHzZs3NV+mJ02axL59+xIdlQSf6mdOmzYNAwMDSpUqxcGDB6lduzZ+fn4sWbKEvHnz0rFjRyZOnMjJkydRqVSMGTMGc3PzDMX5/fffc+vWLY4fP86rV69Qq9Wa0U5C5GSfp7FaWlry7Nkzli1bRqdOnWjSpEmS5/z+++94enpSokQJxo8fn+RxT548wcfHh1q1amFsbMyzZ8948OABLVu2pFatWmzZsoXSpUtz584dzp07R6lSpWjZsiUAI0aMwMrKiiJFivDDDz8AMHPmTPbs2cOFCxfIkyePZjR3+/bt2b9/P9WqVWPHjh2ULFmSuLg4fH19sbKyIjo6GktLS/7++2/++OMPatasibOzM/369YsXb1RUFB4eHpw5c4ZChQrRo0ePRF+Xr68vL168oGbNmkmujpvY+zx79mzMzMzw8PBgzZo1mJiYMGvWLDw9PZk9e3aCpFRoaCjv3r0jPDycV69eoVAo8PPzIzg4mJiYGExMTLCysqJPnz6piuGz/50iGRsbS7169TA0NOTChQu8ePEi0VGjImNiYmIYN24ce/bsYePGjZQuXZpNmzbh6OjI999/n+S00ujoaD5+/IiDgwOWlpZUqFCBZs2aaRYhiYiI4P79+xQrVoywsDCio6MpWrSo1OsTQgCfPkd+//13zM3N2b9/P61atWL06NHo6elx5swZKlasyNu3bylVqlSu+7sh+ZaUSZIze5EkpxBC5DLe3t44ODhw//593r9/T8OGDbGyskpwXNGiRalYsSKlSpXC29ubunXr4uHhwenTpzlw4ACurq5MmzaNQoUK0bhxY0aOHMnevXsxNTVNd2xfffUVd+/eZfz48VhZWfHdd99x5MgRihUrJqsDi2zpwoUL9O3bl7p167Jx48ZEj/H29qZhw4ZUrVqVPHnysHPnTnx9fcmfP3+yvy8BAQH07NmTvXv3EhsbS2RkJM+fP+evv/7i6tWrHDx4ECsrK3r16kVQUBD9+vWjVatWPHr0iPXr1zN06FACAgJ49+4d7969Y82aNYSFheHg4EDr1q2JjIzk0qVLDBs2jJCQEG7fvk2RIkXw8fFh8uTJWFhYsGHDBvr160eXLl2oXLkyjo6ONGnShEuXLvHmzRv8/PwoWLAgsbGxmJiYEBsby82bN5k5cyYqlYpWrVrRoEEDFAoFZcqUIW/evAwYMIClS5dSs2ZNevbsycOHDxO89gMHDrBnzx569uzJoUOHsLa21iScHjx4wIIFC3B2diZ//vz06tVLc15kZCSzZ8/GysoKDw8Phg8fTo0aNeK1/fHjRzw8PDhx4gTGxsbY2tri6OiItbU1NjY2mJubY2lpiY2NTTr+RaQsOjoaY2NjrbT9pQsKCmL58uWcOHGCqlWrYm9vz71792jSpAk3b97k999/T/S8kSNHcunSJfr06UNgYCDbtm3jwYMHWRy9ECK3OHfuHL169eLFixfMmDGD9+/f07JlSyZOnMjYsWM5duwY69at47fffqNQoULY2dkRFxeHnp4ebdq0ITg4GB8fHwoVKoStra2uX06yJN+SMklyZi+S5BRCiBwsKCiICxcu8PTpUwCUSiUPHjzg1KlT1K5dG7VazenTp3nw4EGiq5ufPHmS8ePH07lzZ8LCwrCyssLKykoz4gs+1aPbv38/SqWSP//8k3Xr1qU7XrVajZ6eHkZGRnTt2pX+/fvz559/4urqGi+RIYS2RERE8PLlS0qVKoWBgUG8fRcuXMDNzY1+/fqhUqkoVqwYt2/fJiwsDDMzM6KioliwYEGCNrdt28aYMWPInz8/9+/fp1evXnzzzTd06tQp1XF5e3tz7tw5ihYtyrlz58ifPz958uThzZs3WFhY4OXlhbOzMwEBAdjZ2WFgYEDevHkxNDQkb968lChRAisrKywtLZNNrIaHh3Pp0iU8PT0JDw/HwsKC+/fv06pVK9q2bZv6NzIRarWa4OBg4uLisLW1pUmTJowePZpSpUoRFhaGkZER9+/f58yZM+zdu5f3798zZcoUtm3bRmxsLG5ubigUCi5dusTff/9NSEgI5cqVY9GiRURFRTF48GDg0wJp8GnE6JMnT5g/fz729vbY2tri7++Po6Mjrq6uVK1aNcHPWOROmzZtIjAwkNGjRye6/8aNG9SoUYPq1aszffp0vvnmmyyOUAiR2zg6OjJo0CAiIyPx9fVl06ZNKJVKTp8+ze3bt9m/fz+lS5dm+fLlvH79mvfv3+Pl5aUpmbF161bu3r3LrFmzMDIy4tGjR8ydOxc7Oztdv7R4JN+SMklyZi+S5BRCiBxs/PjxmkTAf5mbm9OoUSNKlCgBQMuWLXFyckJfXx9HR0fi4uL4559/MDY2pm3btlhbW7Nz504ePHiAr6+vph0fHx/c3Nw4cOCAZppnRmrM3bp1C319fVasWMGuXbuoUaMG/fv3T3JKqxDpFRkZSVRUFNbW1pptXbp04a+//mLKlCnkz5+ffPny0b17d/T19VGr1cyaNQsnJyd69+7N8+fPiYmJITY2lg0bNtC4cWO+/fbbeH18XnQmX758VKpUiTNnztCvXz8WLVqElZUVcXFxhIaGxosB4PHjx3h4ePD69WuePn1KoUKF0NPTw8XFBQcHBwwNDbGzs8Pa2jrNq3pnFyqViqtXr/Lu3Tvy5ctHbGws5ubmODk5YWtrm6opfUqlkvPnz7Nt2zaKFClCcHAwBQsWBD6N2LSysiJv3ry4ublp++WIbCggIIAhQ4ZgbGzMli1bEj3m3r17uLi4cPv2bSpXrpy1AQohci1fX19evXrFkydPmDRpEitXrkxwjZAaZ8+eZdCgQZpZD5+TpX379tXc1NMlybek7P8nOT+SNUlOW/l5JEOSnEIIkYt8/PiR27dvU758eUaOHEnlypX59ddfqVq1KpUrV+bOnTv4+/tz6NAhihQpkujFk0qlSlAfr27duly4cIHChQtratplxKlTpzS1CqV2ndCG7t27U69ePc6cOcNXX31FhQoV+OOPP2jbti0tWrTQrKbcpk0bLCws2LZtG0FBQezdu5fAwEDGjh2raatDhw5UqlQJU1NT4uLiMDU1JTY2lujoaPbt24ejoyM+Pj44ODhQsmRJjI2NCQ0NpXDhwpw5c4avv/6aqKgopkyZwqFDh7hy5Qo2Nja0aNEi0RGlQojkffz4kX79+vHVV18REBDAL7/8kuSK6kZGRixYsICRI0dmcZRCCJF6jx49QqlUYm5uzsOHD7lw4QLXr1+nRYsWNG7cGBcXF44dO5ZkvX1tkXxLynSR5CxdujT6+vq4ubnJjd7/kCSnECJbiI6O5sOHDwQFBaFWq4mJieHevXt06NCBPHny8OTJE2bPno29vT3FihWjSpUqWFpaUqBAAf7++28KFiyIQqGgUaNGGaoZmZO9fv2aIkWKcPv2bU6cOMGVK1dYtWoV48aNo3jx4kyePJnhw4fz9u1blEol9erVo1SpUhQpUgS1Wo2rq2ui7X78+JEOHTpw9uxZjh8/zuzZs9m4caNmhGhahIeH8+2333L69Gm+/vpr3N3dadmyJUeOHMnoyxcinvv373Pw4EGMjY3R09Nj165duLq6smDBggRJxYkTJ/Lx40fy5s1LZGQkrVu3TtNojJCQEIyNjePVYfzfmwVeXl4sWbIEIyMj2rVrx9dff505L1KIL9Dr16/p3Lkz7du358cff+TOnTtUqlQJhUKhWQDMzMyMefPmER4eztKlS1m+fDnDhg3TdehCCJEmcXFxPH/+nN27d7NhwwaqV6+OmZkZ69evz7IYJN+Ssv+f5HxH1iQ57eXnkQxJcgohdOqnn37i2rVrWFhYUKxYMQoUKEChQoVYvHgx169fx9zcnHHjxrF8+XICAgK4cuUKNWvW1JxfvHhxGjVqpPmwr169Oj4+Prx58ybVq/XmFiEhIaxevRr4NIU2ICAABwcHRo0axZ9//snHjx+pXLkytWvXZunSpcyfP582bdpw/vx5/Pz8GDBgAMOHD8fe3l7TZnBwMF9//TWTJk2iffv2wKdE5TfffMPWrVtxdHRMU4yfR4B27NiR2NhYDhw4AEBYWBhPnjyhUqVKmfFWiC+Ul5cXbm5uqNVqJkyYQKtWrQCYNGkS8+bN49mzZxQrVkzHUQoh0kutVlOuXDlWrFhB06ZNUSqVzJo1i/bt21O5cmWWLl3KvHnzGDVqFNOmTePBgwfyOy+EyNEiIyNp164dISEhmJiYMHHixCwdzSn5lpRJkjN7kSSnEEKn4uLi8Pb2JjQ0lJCQEEJCQoiMjMTPz4+wsDDMzc3ZuHEjhQoV4vvvv8fQ0JBWrVrx/PlzPD09sbS05O7duwQHB7N48WJNu56enuTPn5/Lly9Tp04dTQ3J8PBwAgMD4yXnVCoVb9++JTY2FkdHx1wzdTQqKgo/Pz8cHR0JCwujc+fONGnShI8fP/LixQtu375NXFwcCoVCU49w8ODBjB07lsjISM3CDN999x1Dhw7VJCj//PNP9u3bx86dO9M8bT02NhZDQ0PgU0L6w4cPvHr1ipcvX3LlyhU6d+6cuW+CyBVu3bpFSEgIDRs2TPHY0NBQPD09sbCwIDQ0lCdPntCrVy8+fPiQ7VcwFUIk7927d/Ts2RN3d3cAfvvtNw4cOEC9evWwsrJi/fr1dOjQgV9++UXHkQohRPpMnDiRS5cu0b59ewoVKqSpPVy/fn3Onj2b5fFIviVlkuTMXiTJKYTIcps3byYgIAC1Wk1UVBR58+Zl+PDhSR4fEBBAdHQ0sbGxbN68mbdv3/Lvv//y888/ExQURHh4OAqFAnNzcx48eMCvv/7KL7/88v/au+/4KOr8j+Ov3WzJZpNseoUEkiChJiAlCMiBkYCIYrkTEQ5FQTmUsyJNrAdSFBRsnA9A5fQQkENQpCMeBpBO6CSBQDrpZTfb5vcHx2p+9JIGn+fjkQdhZ3bmMzvfTDbv/c73y/LlywkLC3MFdB06dGD8+PG0a9eOe++9l+TkZB599FHGjBnD3r17GTFiBA8//DBWqxWVSsWpU6dck4jMmjULwDUrcH0YCPyPnE4naWlpZGRkEBoair+/P4GBgdXq/OWXX1izZg2HDh2ie/furucpisL8+fMZPHgwOp0ONzc39Ho9cXFx1XrN5uXlMXv2bMLDw12zHF+PgIAAPDw8uP3227n77rsZPHgwnp6et1wPXHG+7du343A46NKlCwAffvghM2bM4NChQxiNRtd6drudP/3pT9x///3ExMRgs9nYsWMHPj4+hIaG0qJFC6KjowkICKh3P7NCiKs3bNgwpkyZQnBwMHfeeSejRo2ibdu2NGnSBIPBgMViwd3dva7LFEKIy7LZbLi5uV3wfe+vv/7K5s2b2bp1K7t27cLT05OXX36ZYcOG1Xqdkrdc3u8h5ylqJ+RsLOfjEiTkFELUmJSUFIYNG8Z9993HhAkTXCFDy5Yt2bJlC//85z959dVXCQ0NZezYsa7nWSwWdDqda0y7c7/81Wo1TqcTlUrFe++9R+vWrfH29iY2NpacnBy++uor3NzcMBgM3HbbbaxduxadTkdVVRUjR46kc+fOhIWFERISgsPhwN3dHS8vL5o2bYqHhwfLly/n3nvvZcyYMUyePBmTyURlZSVarZa9e/fSrFkzXn75ZSZPnkxeXh4eHh7VZkw+ffo0wFXfwn3OsmXL+Pe//02XLl2w2+0YjUYeffRRfHx8Lvm8Y8eOMXXqVNct++PGjaNZs2aMHTuWH3/8kZ9//plnn3222kzGmZmZHD58mO+//57g4GDGjx/vWlZWVkZubi5paWmkp6dTUFCATqfD29ubli1b0q1bt2s6vnP+85//4O3tTUhICFFRUcTFxREWFkZlZSVjx4513RYvbm3nZi3/ox07drB9+3ZKS0vR6XTodDosFguvvPIKhw4d4syZM3Tq1OmKZu0WQjQc8+fPJysrC5VKxfjx4zly5Ai9e/dmz5491X4PCyFEQxEcHExeXh5vvfUWPXv2JD8/H6vVyt///ne6d+9Ohw4dyMrKYt26dWzbtg1PT886qVPylsuTkLN+kZBTiBvkzTffZMuWLSQkJKBWqzlw4ABRUVHExMQwfPjwui6vTiiKwtq1a8nIyGDYsGGusDI9PZ3vvvvOdduySqXC6XQCYLVaKSsrIysri9atW7N161b+/Oc/89BDD7m263A4mD9/PgkJCeTk5LBs2TJMJhPl5eVkZWXRrFkzTCYTer0eq9Xq2q/D4aBVq1YoioJGo8FoNJKVlUVaWhp79+7Fy8uLZs2a4XA4SEhIICAggJCQELy9vbFYLMyYMQOz2UxYWJhrPMn777+fkpIS1Go1bdq0YdCgQUycOJEnnniCpk2bXlHvsSeeeIIWLVpgNpt54403WL58Offddx+ZmZl8+eWX7N+/n4ULF+J0OsnNzeXkyZN4eXlx5swZunbtSkpKCjNmzCAhIYH4+Hg6dOiA0Whk/PjxTJ48mQ4dOrBx40bWrl2LoiisXr2aY8eOoVKpuOuuuzAYDKjVakpLSzEYDK5ecI0bNyYyMhJvb+8b2guuU6dO/Pbbb7Ru3ZpmzZqxbNkyRo0ahUaj4e2338bLy+uG7UvcHDZt2sSOHTvIyspi8uTJ6PV6VCoVxcXFpKamEhAQQGRkZF2XKYSoId98843rd2Lnzp3Jzs7mtddeu+iEeUIIUV+MHj2aX3/9lZ07d5KcnExCQgJpaWmEh4cTERFBeXk5lZWVADz11FM8++yzRERE8Pzzz3P77bfz888/M2TIEAYMGFAn9Uvecnm/h5zp1E7I2VTOxyVIyCnEDbJo0SIGDhzIwIEDOXz4MMuWLWPDhg2MGDECh8PB9u3b2bp1K9HR0XTt2hWTycTSpUv55ZdfiI6OxuFwoCgKiqLg5+eHwWBApVJhs9l47LHH2LNnD3l5eSiKQnx8PMHBwResQ1EUnE4nbm5u5y3742y/dW3kyJGcOnWKpKQkFEXB4XBQUVFBeHg43t7ezJ49mwcffJDMzEymTZtGdHQ099xzDx9++GFdl35ZmZmZJCcnk5WVhd1uZ8mSJSQnJzNp0iT8/f3R6/XccccdNGnShKNHj7J8+XJ+/fVX1q1bh91ur9Z7FWDIkCG0a9cOnU5HcHAwYWFhrFixgq+//ppx48a5wuDKykpOnz7NmTNnKCwsJDo6Gn9/f7KzswkJCWHQoEEYDAa0Wi0xMTF19vooisKKFSuw2+2u8LqB/yoSV2j9+vXMmzePsLAwpk+ffsXP6969Oz169CAgIIDnn38eRVHIzMykqKiI2267rdqs5kIIIYQQ9YXdbqdRo0ZERUUxb948PvroI+bMmUP37t2x2Ww0adKEuLg4Bg8efN7dYHl5eQwZMoTExEReeeWVOqlf8pbLk5CzfpGQU4g/OHPmDGazmcaNG1/T8x0OBwBpaWksXryYvXv3kpKSQuvWrbHZbHz++eesWrWKwYMHs3btWrKzs1m9ejX/+te/eOKJJ5g3b55rVuzTp08zadIkvv/+e3766Sf69OnDgAEDsNlsREZG8tFHH7n2W1RUxJQpU/Dz82PcuHG0b9+erVu3otVqyc3N5bnnnqNTp04sWrSIHTt2MGPGDO688046duxYrX6r1QpQo7d67tq1i1OnThEYGOi6VVqlUlFRUUGTJk3o3r07FouFRo0aodPpzgv8GqJzY4+6u7ujUqnIzs5m06ZNZGVl0aRJExISEggLC7uq3pKfffYZISEhBAUFoVKpaNOmTbWxCs8F2he65beuWa1WVygVFhbG4sWLueOOO+q4KlFTvvrqK+bPn49KpcLb25vo6GhatGjBk08+ecXbmD59OgsWLCAmJoaePXtSWVnJvn37WLNmDd98802tzjIqhBBCCHGlevXqxcaNGwF45JFHOHLkCBMnTuTee+9tEB/SSt5yeb+HnMeAmr4jrQxoJufjEiTkFALIz89n7ty5lJeXc+rUKYxGI+Hh4a7xB0NCQi763KeeeoqIiAj8/PwIDw9nwIAB1UIlh8PBf/7zH/bs2YOXlxfu7u7s2LGDgQMHcs8993DnnXfyyy+/MHfuXMLDwykoKKCoqIi///3vbNy4ke7du6NWq9mxYwcmkwm1Ws1PP/2EoihYrVZmzJjBpk2bSEhI4MEHH+TBBx+kY8eOLF++nCeffJKTJ09yxx13kJ6ejkqlYsGCBTzzzDMMGjSIuXPnuoKx48eP06VLF/r06UPr1q05duwYK1euZMGCBfTp0+eGvdafffYZjRs3pm/fvqhUKk6fPu0K+NRqNdnZ2QQEBJCZmYndbicqKqrehXTi2q1Zs4bNmzfzj3/8A4CQkBAqKyvJysqqFtKKm0daWho6nQ6r1cpbb72FxWIhPz+f9evXX/Q5iqLw2muvERQU5Po/gIeHB1qtlieeeII9e/bQtm1buT4IIYQQol5wOp3MnTuXXbt2MWfOHDQaDQ6Hg0mTJrFt2zb+9a9/ERoaWtdlXhXJWy5PQs76RUJO0WDk5uaiKMolA8dzDh8+zOnTp0lNTcVoNLJixQq6deuGoihs3bqVSZMmERsb61r/+PHjzJ07l06dOrFq1SrUajWNGjVi5cqVfPHFF7Rs2bLa9i0WCw6Hg9TUVLZv3878+fNRq9UcPHiQCRMmEBERQUBAAGVlZeTk5KDX61EUBTc3N2w2m2vilpycHEwmE2azmZKSEgoLC/Hw8CA7OxutVotOp6OgoMDVG89ms/Hjjz9y8OBBlixZQrdu3Zg1axZubm6uEMBut1NRUUFYWBhFRUUYDAY8PDx47LHHePnll5k9ezaNGjVi+PDhjB8/Ho1Gg6IobNq0iV69etG7d29XiDpr1ixmz55Nenr6DTyT1X322Wc8/vjj6PV6PvjgA7Zu3UrHjh3Jzc1l2rRp3HPPPfzwww81tn9R8+bNm0dqaipOp5Nu3boxatQoWrVqRe/evXE6nQwePJjAwMC6LlPUAofDweLFi9FqtdXG2f2jc726Bw8ezMyZM6stKy0tpaioSMbfFEIIIUS9smvXLp555hnS0tIYP3487777Lvn5+YwdOxZPT09OnjzJ1q1b2bdvX12XelUkb7m830POg9ROyNlSzsclSMgpGoyysjIAPD09sVgslJWVodfrKSkpwWazkZubi81mo3Xr1gQEBDBt2jT69euHn58fKpXKNYbl6dOneeedd7BYLMTFxaFSqfDy8sLb25uqqipiYmLIzMzk9OnT6PV6ysvLXWNcajQa4Ows3x4eHjRq1IjQ0FDCw8Nxd3fHYDAAZ8dkLCwsxN3dnUaNGmG3211jZdpsNn755Rc8PT3x8vIiJyeHsLAw1y3ZVqsVg8GAp6cnvr6+Fx1781p8+OGHTJgwgeeff56AgADXrfFeXl6YTCZUKhX5+floNBpyc3Np27Yt9913H15eXtd027jD4eDo0aM0adKE0tJS3N3dXeGwm5sbnp6eaDQa3NzcKCoqok2bNlRUVKDVaunevTs7d+7kpZde4sCBAzz33HP07duX7OxswsLCbthrImqG0+mke/fuJCcn4+7uzuOPP05oaChOpxOtVkuvXr1ISEio6zJFPaIoCm+//TY7duxg0KBBDBw4sK5LEkIIIYS4rPz8fIKCgvjyyy8ZPHgw3377LXPnzuWll17innvuqevyrovkLZcnIWf9IiGnqBesVisrVqzgvvvu49SpUwQHB59362pJSQlPPfUU//3vf0lISOAvf/kLVqsVk8mETqfDx8cHg8HA1q1bOXPmDIcPH6ZRo0ZMnTq1jo6q/ikvL6esrOyit0ls376dzp07M2vWLNRqNWVlZRiNRjIyMmjcuHG1kNNqtaIoCnq9nsrKSgwGA5WVla4eqGVlZTgcDsrLywkPDycoKAiLxYJaraZZs2bY7XZKSkqwWCxotVqWL1+OVqulZ8+ehIaGcvToUbRaLaWlpWRlZbFy5UoOHjwInO1J2xDGsLlVWa1WoqOjXT2Ms7OzGTx4MPPmzavr0kQ9VV5eTlRUFPHx8SxbtkyGLhBCCCFEvbRw4UKWLl1KUVERx44dIzQ0lJiYGNLT01m9ejU+Pj51XeINJXnL5f0ecu6jdkLOtnI+LkFCTlEjzjUrlUrFzp07uf/++/Hx8SEyMpKVK1eiUql4+umn+eKLL3j33XdRFIWUlBSMRiO+vr6EhoayatUq2rdvzxtvvIGPjw9Tp06lVatWdO3atY6PTlxMUVERvr6+1/z88vJyfvvtN3x8fGjWrBkVFRWuiXVE/Wez2SgrKyM1NZW9e/dSXFyM0+kkMDCQ++67D39//7ouUdQAm81GTk4OVqsVq9VKYWEhxcXFnDhxwjXJWFBQEO7u7hQVFTFt2jSee+454GwPfa1Wy5o1a2jcuDEWi4WJEyfSunXrOj4qIYQQQojzHT58mOzsbGJjY3F3d+fgwYN069aNe+65hy1btpCfn49Wq63rMm8YyVsuT0LO+kVCTnFDFBcXu8aBrKys5KuvvqK4uJihQ4fy8ssvExcXh6Io7Nu3j1atWrnGJXnggQdc41P+f2fOnGH9+vV4e3szY8YMli1bJudYiDqkKAqKolBQUEBmZiY5OTnk5ORQVFSE3W7H6XQSFhZG06ZNiY2NJSAgoK5LFjdIRUUFaWlpbNq0CYfDgVqtRqVS4XA40Gg0BAUFodfrMRqNGAwGQkJCMJlM+Pr6kp2djV6vx2q14unp+b83gUIIIYQQN4ecnBxCQ0MJCgoiNze3rsu5oSRvubzfQ85dgGcN760caC/n4xI0dV2AaJjS0tL47rvv0Ov1HDt2jM2bNzNx4kQOHz7MmTNn+Pjjj7HZbKxevRqDwUB5eTkmk4nJkydf8YQRAQEBPPLIIwD07du3Jg9HCPE/+fn57Nq1i1OnTlFRUYFarebkyZMsXbqUtm3bcvfdd+Pn50dYWBhRUVF07tz5unrvivpBURSysrLYtWsXBQUFFBcXYzabcXd3x83NjYqKCm6//XYef/xxvLyu7hPqRo0a1VDVQgghhBB1y2azuYYCu+++++q4GiGEhJziiu3atYuSkhKMRiP+/v7k5+ezdetWTpw4QaNGjUhNTeXjjz/GbDZjs9mAs+No7t27l7CwMPLz89mzZ4/MiivEdcjIyCAyMpIxY8Zw9OhRLBYLSUlJmM1mVqxYQbdu3QgLC8NoNBIeHs6vv/5KcHAwLVu2xOl0oigK3t7ehIaGEhwcjKIomM1mKioq+Pbbb3n55ZcBmDVrFn/729/QarUoisKMGTPq+MjFjXbgwAF++uknADZt2sRjjz1Gx44dCQwMxMvLS4aJEEIIIYS4DK1Wi8PhwM/Pj40bN6IoiryHumXZ//dV0/sQlyK3q99kSktLsdvt+Pn5uR47d3up0+nE19fXNUaI0+kkPz8fPz+/Kxo3JCkpiT179tCuXTuaN2/Orl272LFjh2vW8HfeeYcOHTrQtGlTli5dyiuvvIKHhweVlZWubXz66ac8/fTTN/7AhbiFLFy4kF9++YWSkhLmz5+PwWDA6XTidDrRaM5+dmU2m8nMzGT//v34+voSGBhIYWEhBoMBm81Gbm4ueXl5qNVq3N3dKSgoYPfu3dx3333cfffdV91bT9RvDoeDf/3rXxQWFgKQnp5OZGQkTz/9tEzyI4QQQghxHTZs2MBdd90FwMGDB2nRokUdV3TjSN5yeb/frr6d2rldvZOcj0uQkPMmcu61+Oyzzzh69Chms5m8vDyWLFnC559/jtFo5NixYxQWFhIaGsqxY8f46aefiImJoVevXnz00UeUlZWxc+dOVq5cSWJiIpGRkfz1r3/FYDCgVqsxGAy0a9eO/fv3s3jxYpo1a8aOHTsYPnw4Bw8e5OjRo0RFRXHo0CEeeugh+vfvz9atW5k2bZqrzgbe5ISoF+x2Oy+99BIAJpOJ3r17X3R8W3HrKCkpYfHixVRWVlJQUOD6wCszM5MePXrQr1+/Oq5QCCGEEOLmYrVa2bZtG1qtls8//xyDwcD7779/yY5E/fv3p0mTJuTk5DBnzhwCAwMpKCigpKSE4OBgPD0960WPUMlbLu/3kHMLtRNydpXzcQkSct5ECgoKCAgIcIWIJ06cIC0tjW7duqHT6S76vB9++IFx48bh5uaGyWQiICCA1q1bEx0dDcCHH37IHXfcgaIo6HQ6pk6dyrx58xg7dixlZWXodDrXhEPn/pBeuHAhPj4+vPbaa+h0OlfIuWrVKvr06VPzL4YQDdCRI0eIjo529ca8UgUFBXz55ZekpKQQFRWFt7d3tVtlzn1fWlpKRUUFkydPronyRR0xm8384x//wOFwEBISQr9+/YiOjq4Xb4yFEEIIIW41Op0Om82G0+m84Puxzz77jGeeeYZevXrxzjvvMH/+fFJTU3E6nSQlJXH06FE2b95MbGwsK1eurIMj+J3kLZcnIWf9IiHnTcLpdOLm5sa8efMYOHAgBoPhhu+jsLCQtWvXsm/fPoqLi/nxxx8ZOnQo0dHR3HfffTJjrhAXUVJSwtGjR+nYseN5y1asWMHo0aNp0qQJW7duZfz48dWuZXa7HbVajVarxdPTE7VajaIoBAQEoNFoMJlMREREEBwcjJub2wX3n5qaysKFC6moqGDgwIG0b9++xo61oZs9ezavvfYaXbp04amnnuL48eOo1Wp0Oh1ubm6uD5GcTifp6ek0bdoURVEIDAykU6dOxMTE1Fq4uGPHDr744guMRiNTp04lNzeXoKCgWtm3EEIIIYS4sClTpjB+/Hjg7GREH374IevWrSM+Pp727dujUqlYvnw5AwYM4P7776dv375069aNqqoq8vLyMJlMtGzZsl78fS15y+X9HnL+TO2EnD3kfFyChJw3kaqqKjZv3szOnTtRq9U4nU68vLxYt24d7dq1w8fHh6qqKt544w2sViuJiYkUFxeTnZ3N6tWrad68eV0fghA3pby8PIKDg2nRogVDhgxhxIgR+Pv7u5YrisKJEyc4duwYGRkZrnFs/3h51uv1eHt706RJE2677TbKysqw2+0UFhZy6tQpcnNzsdvtFBUVsXr1agYNGsTSpUv5+eefGTRoEGPGjCEuLu66j6W4uJi0tDQ0Gg0RERH4+Phc9zbri8rKSubNm8esWbOYM2cOzZs3p0mTJpcNLRVFIS8vj82bN3PixAkqKyvp27cvnTp1qpE6U1JS+Pvf/05WVhbbtm275X/3CSGEEELUN3PmzGHMmDFERETw9ttv89Zbb5GSksKUKVMYN24cSUlJbNu2DZ1Oh7u7OwkJCSxatKiuyz6P5C2XJyFn/SIh503MbrfjdDrZunUra9as4ciRI3Tv3h04O5PuuYlFZs6cWW2iIiHEjXVuMHKNRoPdbue9997DZrNhNBrp2LEjcXFxuLu7X3IbFouFzMxMjh07xieffMKf/vQnXnjhhfPWS09PJzw8/JJDVFyJyspKsrKyOHbsGOnp6RQVFaHRaNBqtaxbt45Vq1bx3nvv8eKLL17XfuqDwsJCXnvtNby9vXniiSe47bbbrur5eXl5pKWlUVpaisViYfPmzVRWVvLxxx/f8FrXrFnD3//+d3bv3n3ZNiOEEEIIIWrGwYMHmTZtGhaLhX//+9/nLXc6nRw+fJivv/4ap9NJixYtOHz4MJMnTyYmJobbb7+dtm3bUlhYyOjRo4mIiKiDo7g8yVsu7/eQcz1Q0xN6VgB3yfm4hKsb+O0qHD16lFdeeYUtW7ZgtVpp27Ytb7/9Nj179nStk5GRwciRI9m4cSOenp4MHTqUKVOmXPV4dA2d0+lk9erVvP766zRp0oSuXbuiUqk4ffo04eHhVFZWEhcXR9++fa/qNshzr6Ner8fHx4eEhATsdjvNmzdn8ODBEmwKUUt69erFyZMnmTlzJuHh4ezfv5/HH3+cuLg4Dhw4wPz586mqqkKlUqFWqwFQqVSoVCoURXF9wdke2w8++CADBgw4bz8qlYrhw4fz/vvvX1XImZuby/r168nIyHDtV6PR0Lx5c6KiovD392fv3r3k5OSg1Wr55JNPiIyMvCGvTV1zOp34+/vzwQcfMHr06Kt+vqIoBAcHM3jwYEwmEwaDAb1ej8Fg4NSpUzRu3Piaa/vjZ5Dnrv1lZWW0adOGBQsWEBYWRnBwMIGBgYSHh6PX6695X0IIIYQQ4sqcPHmSOXPm8MUXX5CQkMCrr77K119/TYcOHWjbti3r16+nW7du/Pe//+XLL7/EaDRSWVnJPffcwzvvvIPZbGbJkiWUlJSg1+vlg2shbqAa68l522230axZM6ZMmYLBYGDWrFksWLCA1NRUQkJCcDgcxMfHExISwvTp08nOzuavf/0rw4cPv6pJMW6GTxZUKhUff/wxDzzwACEhIectt9vtLF++nAMHDuDh4YFareauu+6iVatWVx0IK4rC0aNH+f7779HpdKjValeQAnD69GkqKyv5+eef2b9/P8BFB0wWQlyb3Nxcdu/ezbFjxzh+/Djbt2/nySef5KmnnmLTpk1kZ2fjdDpRq9VoNBrUavV5X3q9HpPJRFhYGOHh4ddUx/Lly0lOTqZFixZ07dqVqKgoV8i6d+9eli1bhtlspmPHjkydOpW9e/fSvXt3EhMTefrppyksLCQmJuZGvjS1bsWKFQwbNoz8/Pwbut1zE8Ht37+f1q1bX9e2zl2fhw4dyvHjx+nVqxeVlZV8/fXXDBo0iPLyckpLS8nMzKRVq1bExsbi6enJoUOHiI+Px2q1YrFYcDqdrm2dOnWKGTNmAGfHIe3bt69rsjkhhBBCCHG+3bt307FjR0aMGOEaSmrVqlUsWbIERVEwGAw33fjoN0PeUtOkJ2f9UiMh55kzZwgMDGTz5s2u26PLysrw9vZm7dq1JCYmsmrVKu69916ysrIIDg4G4NNPP+XVV18lPz//insh3Qw/dN999x2pqamo1WocDgfNmjWjdevWREREXLBnTlFREdu2bWP//v0kJyczdOhQ7r///htaU3JyMosXL2b9+vUMGzbMNTuzh4cHoaGhhIWFYTQacXd3JyIiQkJQIa7DsmXL+OKLL0hMTOS5554jLy8PNzc3nE4nDocDh8OBoig4nU7XY1VVVRQVFXHq1Ck2b95MSkoKP//881Xt18vLi4yMDHx9fV2P2Ww21/XXbDbj7u6On58fRUVFrnU0Gg0TJ04kIiKC+Ph4cnJy6NSpU7VxRq+FzWZDq9Ve1zau1s6dO+nQoQPff/89/fv3v6Hb3rVrF4mJiRQWFt6Q7R08eJD333+fhIQE3NzcsFqtWK1W4Oxrd/r0afz9/UlJSeHPf/4z5eXldO3alcmTJxMQEICHhwfx8fHcf//9/Pjjjzz11FNER0dz4sQJVq9eTcuWLW9InUIIIYQQN5NJkyYRFBTE/v37mTt3LgEBAWRkZNTIZL/1zc2Qt9S030PO1dROyJkk5+MSaiTkVBSFFi1a0L17d2bNmoVer2fWrFlMnz6dw4cP4+vry6RJk/j+++/Zs2eP63np6elERUWxa9cu2rVrd8FtV1VVUVVV5fp/aWkpjRs3vmlO8gsvvMCsWbNISkqif//+WK1WV2/LP96+CqBWq7HZbIwbN465c+cyZMiQS2573bp13H333ahUKtq3b8+gQYPo2bMnLVq0wGAwEBgYyNSpU3niiScuuo2SkhIKCgrIzs5m4sSJOBwOfvnll2rrdOjQgT59+jB27FiMxpr+IRfi5lFeXk5FRQXBwcE4nU6Ki4vx9PS84Ic+iqJQWlrKkSNHWLhwITExMVd9u3VaWhobNmygoqLC1YNTrVbj4+PDgw8+eN4bt8OHD7Nw4UJOnDjBv/71r/O2Z7VarzikdDqdzJgxg/Lycnx9fauN7Zmfn09AQMBVHcvVKC4uZvHixRw5cgRvb2969erlGibkRlAUhTNnzmAwGPDy8qIuh75++OGH+e6771w1tG7dmpKSEk6dOuVaJy4ujmHDhqFWq10faMGFb5f/4//PDaPgdDqZPXs2o0aNAkCr1WK1WqmoqODVV1+97vFhhRBCCCHqSnl5uWsui3O+//57cnJySEpKqrdjad4oEnJenoSc9UuNDH6pUqlYt24dAwYMwMvLC7VaTVBQED/99JOrx1BOTo6rB+c55/6fk5Nz0W1PmTKFN998sybKrhdmzpzJzJkzr+o5zz///BWtl5iYiNPppKCggPXr17N//37at29Pjx49qKqqQqPRsGLFios+f/HixWzZsoUPPviADz/8kAceeACVSnVeyHnkyBESExNxc3O7quMQ4lbn6emJp+fZGfn27t1L//798fb2xmw2o9FocDqdru8NBgMeHh40a9aMlJQUxo8ff9X7i4qKIioq6orXj42N5Z133sFutzN48GCWL1/Oli1b6NatG06nE4vFcsUh57nrw86dO2nfvj0vvPAC2dnZhIWFERgYyKFDh4iNjb3qY/qjDRs2MGHCBB555BHy8vKYMmUKkyZNwtvbm/79+zN8+PDr2v6F2O121q1bR9++fenWrRvJyck3fB9XY8mSJa7vKyoqyMrKIjMzk8OHDzNmzBi6dOmC1WrFbrefd+7OhZ5/lJKSQuvWrV3DmKhUKhYtWkSbNm3YsWMHCQkJKIpCUVERoaGh0stfCCGEEA1SUVERBw8eJCcnh5EjR2I2mwkPD2fbtm3Mnj2buLi4C46RL25ltv991fQ+xKVcVU/OsWPHMnXq1Euuc+jQIZo3b86AAQOw2WxMmDABg8HA559/zvfff89vv/1GaGgoI0aM4OTJk6xevdr13MrKSoxGIz/++CN9+/a94PZv9p6c9dXWrVvp0qWL6//33HMPSUlJ9OvXD6PRSEBAgGusQCFEzTl3yf5jeLRlyxbef/99du7cyejRo3n00UcJDQ294m0WFBSg1+tdAeuVWLJkCZ9//jmbNm2ic+fOdOvWzbXPc+OJOp1OMjMzUavVmEwmPDw8UKlUOBwOKisr2bdvH9OnT682OY9KpaJdu3b8+uuv1zwI+6JFi1i0aBHt27fnxRdfxN3dHZVKhdVqvezkPIqiUF5ejl6vR6vVVuvVWFlZSUlJCcXFxeTl5ZGfn09OTg5Op9P1fDc3N5o2bUqbNm1q/JN9RVEoLi5GrVa7PlBUFIWsrCySkpIYP348FouF8vJy1zlZunQpmzdvdm1jwYIFwNnxPoUQQgghbnXp6en06NGDnJwcBgwYQNOmTTEajfz222/4+fnx5ZdfAld3B1NDJj05L+/3npwrqZ2enPfK+biEqwo58/PzKSgouOQ6UVFR/PLLL/Tu3ZuioqJqL3yzZs148sknGTt27DXfrv7/yQ9d7XI6nRQVFbF582YefPDB85Z/8sknBAYG8tBDD9VBdULcuoqKivDz8wOgcePGfPLJJ5w4cYLy8nKaNWtGbGws0dHR/PTTT2zYsIHo6GjKy8vRaDTodDo8PT158cUXWbRo0UU/ZLqQiooKDhw4wJEjR8jPz0ej0aBSqTh27BgajYaOHTui0WiYMWMGf/3rX7ntttsICAjAz8+PwMBAPDw8UBSFkydPMn36dD7++GOysrKuKqT9I0VRUKvVLFy4kMaNG+Pm5uYKLBVFcY1jWVVVhcViwWw2U1lZSVlZGYsXL+aBBx7Ay8vL1bvx3DbPjUlsMpkwmUwEBgYSGBhIcHDwDe21XlJSwurVq/Hy8kKj0ZCYmMiePXvYt28fQ4cOxWw2U15ezrx589i1axfffvstCxYsoLS01BXIuru7U1ZWxgMPPIC/v/95t1gJIYQQQogrY7FYLjr25q0wQa/kLZf3e8j5H2on5Bwg5+MSamRMzhUrVjBgwNkX/o89g5o3b87QoUMZP368a+Kh7Oxs1wxkc+fO5ZVXXiEvL++yvW3Oudl+6M79Ee7m5nbRmdPNZjO7d++mrKyMkpISrFYrlZWVlJeXU1hYSE5ODpmZmRQWFvLII48QFhZGXl4ewAV7Wp4bVw3O9kI6F3io1WqqqqooKyu74Jhy5/7w/+NtqlarlXbt2tG7d+8b+KoIIS7H6XSSkpJCRUUFqampxMfH07x5c+DsB0ipqalkZGSwZ88e3n///Qu+WSsoKGDWrFkEBgZit9txOBxotVpWrFjBhg0b+Oabb2jWrBlRUVHVJiu6UpWVlaSmplJcXExBQQFbt26lUaNGOJ1OAgMD6dChA82aNbvu16K4uJjTp0+7Jm2qqqrCbrejUqnQ6XTodDr0ej3u7u64u7tjMBjw9vautZ7oNpuNzz//HLPZzA8//MC2bdu4//77admyJYGBgfj6+mI0GikoKODIkSMcP36cqKgo8vLy0Gq13HnnnYSFhdGjR49aqVcIIYQQ4lalKAqFhYWUl5ezevVqnn76aeDs++ZzHQxuZjdb3lITJOSsX2psdvXY2Fh69OjBpEmTMBgM/POf/+SDDz7gt99+Iy4uDofDQXx8PGFhYUybNo2cnByGDBnCU089xeTJk694XzfLD924ceN499136datGyEhIXh6erpuH1WpVGi1Wvz9/SkrK6Ndu3YsX74cT09PfHx80Gq1GI1GjEYjfn5+BAUF0ahRIzZs2MCCBQvo1q0bjRo1An4PNE0mE23btiUyMrLajMiKolBVVeW6vVGn09XqH/9CiPrJ4XBw+vRpMjIyOH78OMXFxTgcDtzc3FCr1eh0OsLDw1EUBU9PT/z9/fH390dRFCoqKrBarWg0Gjw9PYmIiLjpP/W+kJSUFIYNG0b//v2Jj48nPj7edR2/FV8PIYQQQoiG4kITEE2YMIF33nmnjiqqHTdL3lKTfg85lwAeNby3SuBhOR+XUCMhJ8COHTuYMGECO3bswGaz0apVKyZNmlTtNsiTJ08ycuRINm3ahNFoZOjQobz77rsX7cF4ITfTD53ZbKakpISioiJKS0upqKigrKwMODsW6ZkzZygoKKCyspIpU6a4nnf69GlGjx7NiBEj+NOf/kR2dja333472dnZF+0Re/r0abZu3crUqVPJycnhzjvvvOBsyUIIcSmKonDq1Cmio6Ndt3dfyF/+8hfsdjuHDh1i6NChvPrqq7VY5dWxWCyUlZXhcDjQ6XSYTCbUanW1INJut1/2d5XVamXLli2kpaXxww8/4OnpyZtvvknTpk1r+hCEEEIIIUQNycnJYcmSJWzYsAGNRkN5eTmrVq1iwoQJDB8+nMjIyLou8Ya5mfKWmiIhZ/1SYyFnbZEfurM9rDZs2MD06dNZu3YtBoOBsrKyS44Tl5GRwb333kt5eTn33nsvr7zyCo0aNZLeREKIqzJ16lTGjh1LYmIiPXv2RKPRuHqWe3l5odPp6NGjxwWvzyUlJWRmZpKZmYnJZKJTp043pKa9e/eya9cu2rRpQ1paGhqNBnd3d06cOIHZbEan0wFnPzxyOp0YDAbXtc/hcKDX6zGZTK7bk1QqFc8++yy+vr5MmjQJRVH44IMPGDJkCG+//fYFa1AUBb1ez+DBg5k1a9Yt+/tJCCGEEOJml5aWxtq1a3nmmWeIjY2lpKSE0aNHM3bs2Lou7bpJ3nJ5v4ec/6Z2Qs6Bcj4uQULOW5zD4SA9PZ1du3aRlZVFcXExmZmZzJo1C6OxpseTEEI0dKdOnSIiIoIPPviAefPm0aZNGzw9PfHw8CA0NJT09HTXgO12u50TJ06Qk5NDcXExvr6+hIaG4ubmxsMPP3zVM3wrisLSpUsxm81kZmZy/PhxYmNjmTBhAkOGDOHxxx8nPDwcrVaL2WwmPDwcD4/re+Nht9uJiorCZDLRr18/unbtikaj4dixY5SVlfH999+zfft2nn32Wdq1a8fQoUNv6MREQgghhBCi7syZM4dNmzbh6emJ0+nEZrNhsVgoLCwkIiKChQsXAqDVannvvfew2+1YLBY0Gg1ZWVlMmzatQc3KLnnL5UnIWb9IyPk/s2fPxtfXl+bNm9O2bVv0ej2KolBaWoqiKOzdu5fY2Fj8/Pxq5KKkKAq7d+9Gq9Xi7u6OyWTC29sbd3f3G74vu93O559/jqIo2O1216RC5yYR2r9/PxMmTJBbKoUQN1SHDh2oqqrin//8J507dwa4qt7jeXl5JCcnc/LkScxmM6WlpcTExNClSxcyMjK46667aiVQ3LZtG+np6a4eq0FBQcTGxl7VUCtCCCGEEKLhKS0tZe/eva6hjHQ6HRqNBofDQX5+PocPH6Z169YkJiZWe15FRQWenp5MnToVjUbD0qVLGTJkCAaDgbZt29KuXbs6OqJLk5Dz8n4POb+idkLOIXI+LkFCzv/ZuXMnX331FWlpaRw8eBBFUfDx8SEuLg5vb2+2b99OVlYWZWVlqFQq1x+2MTExJCQk0KZNG9q2bUtAQABwNkhUq9WYzWY0Gg1Op5PS0lKqqqrQ6XQYDAY8PDxcganD4UCj0eDl5UVCQgKRkZEUFhaSmZnJ0aNHOXDgAKGhoZc8hpUrV3L06FGKi4uxWCyuoFStVruCzF9//RWbzcZjjz1Gv379GtSnSEKIhi81NZWYmBhGjhxJXl4eS5cupbKy8oKzvcPZoTXWrFlDSkoKrVq1onv37sTExEigKIQQQgghGqyqqioURWHgwIEsX76cd999F7PZjKIofPHFF2zZsoXw8PC6LlNCzitQFyHnbbfdhpubG6NGjWLUqFE1vM+GRULOi1AUhfz8fLKysti7dy9jx44lJycHgKSkJI4dO4bdbicjIwMAPz8/3N3dGTt2LJWVlVgsFhRFwWAw4OfnB4C3tzcGgwGLxUJVVRV//etfmTVrFt26dWPx4sUEBQVhs9kA+O9//4uvry/PPvssTZo0cXWF9/HxoaKigtLSUvz9/fHz8yMvL4/9+/ezevVqUlJScHNzY/fu3RQXFzNx4kTGjRt3w14XIYS4Xlarlfj4eNLS0qiqqmLevHlERkZitVqpqKjAZDKxe/duSkpKaNq0KX379iUsLKyuyxZCCCGEEOKGGjZsGL/88gtlZWXk5ua6Hh87dizJycnEx8fj7u5OYmIilZWVlJeXExQURIsWLWolBJWQ8/J+DznnUTsh5zA5H5cgIed1sNlstG3bFl9fXyoqKlyTVDidTrKzs3n00Ufp27cvnTt3RqvVYjAYXD0pvb298fDw4OjRo5jNZnr06EFcXJxr2w6Hgw8++AC9Xo+vry8OhwNPT09KSkrw8PDA09OTwsJCioqKOH36NA8//LAraDUaja4enEIIUV8pisJvv/2Gl5cXZWVleHt7YzabUavVxMbGotfr67pEIYQQQggh6kRhYSFwdnin5ORkQkJCGDduHGvWrKFz585s27aNN954Az8/PxwOBzabDavVymOPPUaTJk2wWq2u99jXegenhJyXJyFn/SIhZw1IT09n8+bNrFy5EqPRyF/+8hecTidms5mMjAweeOAB8vLy6Nq1Kx4eHjRv3pydO3fyl7/8hUWLFtV1+UIIIYQQQgghhGhADhw4QL9+/bj33nuJjo5Gp9Ph6+vLkCFDaNKkCc8//7xrHg5FUVAUBU9PTzQaDa1bt8bhcNCqVSuMRqNr3Pz6mLfUN7+HnHOpnZBzhJyPS7hpQs5zA/jqdDqysrKoqqoiKiqKxo0bY7VaKSoq4syZM2zcuJHPP/+ciIgIDh48SFpaGl5eXmi1Wjw8PFy3mJtMJoxGIwaD4YaMW1leXs5DDz2ETqfDaDRSUFDAunXrzlvPaDTSt29fFi9efN37FEIIIYQQQgghhPj/nE4nhYWF5OTkUFhYyOrVqzGZTHh4eGCxWHjllVeYMWMGL7/8soRqlyAhZ/1y04ScFzrJWVlZWK1WtFot/v7+pKenM2fOHEpKSujQoQM5OTn06dMHPz8/rFYrFosFgMrKSkpLS6moqMBsNmOz2XA6na4JfC52G7iiKKhUKnJzcxkxYgR+fn4YjUbXxePMmTMUFRVRWFiIt7e36xMStVpNfHy8azuzZs266AzB5z55UalU6PV6vLy88PT0xMPDA41Gg6IotG3bFqfTid1uB8BkMqHX669qFmMhhBBCCCGEEELcut577z0JOS/j95DzY+DCk6neOGbgb3I+LuGmnp72/09U0aJFCz766KMa3296ejrbtm1j/vz59OzZE3d3xukQtQAADmdJREFUd9cnIufC1IyMDFcICfDhhx+6QshTp05x6tQpunbtyh8z6HPfq1QqFEWhuLiYjIwM3NzciIqKoqioiN27d9O7d29eeOEF8vLyLlhfA8+1hRBCCCGEEEIIUcMkOxANzU0dctaVpk2b0rRpUx5++OFa2V9RURH79u3jo48+4qGHHuLMmTNMnDgRlUrFzJkzSUtLc607dOhQHA7HRXuKCiGEEEIIIYQQQgjR0EjIeRPw9fWlR48ebNu27bxlzz77bB1UJIQQQgghhBBCCHGrsP/vq6b3IS7lwoNLCiGEEEIIIYQQQgghRAMhPTmFEEIIIYQQQgghhLhmNmo+YrPV8PYbPunJKYQQQgghhBBCCCGEaNCkJ6cQQgghhBBCCCGEENdMxuSsD6QnpxBCCCGEEEIIIYQQokGTnpxCCCGEEEIIIYQQQlwzOzU/Zqb05Lwc6ckphBBCCCGEEEIIIYRo0KQnpxBCCCGEEEIIIYQQ10zG5KwPpCenEEIIIYQQQgghhBCiQZOenEIIIYQQQgghhBBCXDMb4FYL+xCXIj05hRBCCCGEEEIIIYQQDZr05BRCCCGEEEIIIYQQ4prJmJz1QYMPORVFAaC0tLSOKxFCCCGEEEIIIYS4OVgsFuD33EVcStVNso+GrcGHnGVlZQA0bty4jisRQgghhBBCCCGEuLmUlZVhMpnquox6SafTERISQk7OzFrZX0hICDqdrlb21RCplAYeyTudTrKysvDy8kKlUtV1ObeE0tJSGjduzKlTp/D29q7rcsRNTNqaqC3S1kRtkbYmaou0NVFbpK2J2iJtrfYpikJZWRlhYWGo1TKly8VYLBasVmut7Eun0+Hu7l4r+2qIGnxPTrVaTaNGjeq6jFuSt7e3/HIRtULamqgt0tZEbZG2JmqLtDVRW6Stidoiba12SQ/Oy3N3d5fgsZ6QKF4IIYQQQgghhBBCCNGgScgphBBCCCGEEEIIIYRo0CTkFFdNr9fz+uuvo9fr67oUcZOTtiZqi7Q1UVukrYnaIm1N1BZpa6K2SFsTQlxOg594SAghhBBCCCGEEEIIcWuTnpxCCCGEEEIIIYQQQogGTUJOIYQQQgghhBBCCCFEgyYhpxBCCCGEEEIIIYQQokGTkFMIIYQQQgghhBBCCNGgScgphBBCCCGEEEIIIYRo0CTkFBf1j3/8gzvuuAMPDw98fHwuuI5KpTrv69///ne1dTZt2kT79u3R6/XExMSwYMGCmi9eNChX0tYyMjLo168fHh4eBAUF8corr2C326utI21NXIsmTZqcdx179913q62zb98+unfvjru7O40bN2batGl1VK1oyD766COaNGmCu7s7nTt3Zvv27XVdkmjg3njjjfOuX7Gxsa7lFouFUaNG4e/vj6enJw899BC5ubl1WLFoKDZv3kz//v0JCwtDpVLxn//8p9pyRVGYNGkSoaGhGAwGEhMTOXbsWLV1CgsLeeyxx/D29sbHx4cnn3yS8vLyWjwK0RBcrq09/vjj513n+vTpU20daWtCiHMk5BQXZbVa+fOf/8zIkSMvud78+fPJzs52fQ0YMMC1LD09nX79+tGzZ0/27NnD888/z1NPPcXq1atruHrRkFyurTkcDvr164fVauXXX3/liy++YMGCBUyaNMm1jrQ1cT3eeuutatex5557zrWstLSU3r17ExkZyc6dO5k+fTpvvPEGc+fOrcOKRUOzaNEiXnzxRV5//XV27dpFXFwcSUlJ5OXl1XVpooFr1apVtevXf//7X9eyF154gRUrVrB48WJ+/vlnsrKyePDBB+uwWtFQVFRUEBcXx0cffXTB5dOmTePDDz/k008/Zdu2bRiNRpKSkrBYLK51HnvsMQ4cOMDatWtZuXIlmzdvZsSIEbV1CKKBuFxbA+jTp0+169w333xTbbm0NSGEiyLEZcyfP18xmUwXXAYoy5Ytu+hzx4wZo7Rq1araY4888oiSlJR0AysUN4uLtbUff/xRUavVSk5OjuuxTz75RPH29laqqqoURZG2Jq5dZGSkMnPmzIsu//jjjxVfX19XW1MURXn11VeV5s2b10J14mbRqVMnZdSoUa7/OxwOJSwsTJkyZUodViUautdff12Ji4u74LLi4mJFq9Uqixcvdj126NAhBVCSk5NrqUJxM/j/7/edTqcSEhKiTJ8+3fVYcXGxotfrlW+++UZRFEU5ePCgAii//faba51Vq1YpKpVKyczMrLXaRcNyob8thw4dqtx///0XfY60NSHEH0lPTnHdRo0aRUBAAJ06dWLevHkoiuJalpycTGJiYrX1k5KSSE5Oru0yRQOWnJxMmzZtCA4Odj2WlJREaWkpBw4ccK0jbU1cq3fffRd/f3/atWvH9OnTqw2FkJyczJ133olOp3M9lpSUxJEjRygqKqqLckUDY7Va2blzZ7VrlFqtJjExUa5R4rodO3aMsLAwoqKieOyxx8jIyABg586d2Gy2au0uNjaWiIgIaXfiuqSnp5OTk1OtbZlMJjp37uxqW8nJyfj4+NChQwfXOomJiajVarZt21brNYuGbdOmTQQFBdG8eXNGjhxJQUGBa5m0NSHEH2nqugDRsL311lv06tULDw8P1qxZw9/+9jfKy8sZPXo0ADk5OdWCKYDg4GBKS0sxm80YDIa6KFs0MBdrR+eWXWodaWvickaPHk379u3x8/Pj119/Zdy4cWRnZ/P+++8DZ9tW06ZNqz3nj+3P19e31msWDcuZM2dwOBwXvEYdPny4jqoSN4POnTuzYMECmjdvTnZ2Nm+++Sbdu3cnJSWFnJwcdDrdeWNdBwcHu353CnEtzrWfC13T/vi+LCgoqNpyjUaDn5+ftD9xVfr06cODDz5I06ZNSU1NZfz48fTt25fk5GTc3NykrQkhqpGQ8xYzduxYpk6desl1Dh06VG3Q+kt57bXXXN+3a9eOiooKpk+f7go5xa3rRrc1Ia7G1bS/F1980fVY27Zt0el0PP3000yZMgW9Xl/TpQohxDXr27ev6/u2bdvSuXNnIiMj+fbbb+XDPSHETWHgwIGu79u0aUPbtm2Jjo5m06ZN3HXXXXVYmRCiPpKQ8xbz0ksv8fjjj19ynaioqGvefufOnXn77bepqqpCr9cTEhJy3iyeubm5eHt7y5vvm9yNbGshISHnzUJ8rl2FhIS4/pW2Js65nvbXuXNn7HY7J06coHnz5hdtW/B7+xPiUgICAnBzc7tgO5I2JG4kHx8fbrvtNo4fP87dd9+N1WqluLi4Wm9OaXfiep1rP7m5uYSGhroez83NJT4+3rXO/59YzW63U1hYKO1PXJeoqCgCAgI4fvw4d911l7Q1IUQ1EnLeYgIDAwkMDKyx7e/ZswdfX19X76cuXbrw448/Vltn7dq1dOnSpcZqEPXDjWxrXbp04R//+Ad5eXmu21HWrl2Lt7c3LVu2dK0jbU2ccz3tb8+ePajValdb69KlCxMmTMBms6HVaoGzbat58+Zyq7q4Ijqdjttvv53169czYMAAAJxOJ+vXr+fZZ5+t2+LETaW8vJzU1FSGDBnC7bffjlarZf369Tz00EMAHDlyhIyMDPndKK5L06ZNCQkJYf369a5Qs7S0lG3btjFy5Ejg7O/O4uJidu7cye233w7Ahg0bcDqddO7cua5KFzeB06dPU1BQ4ArYpa0JIf5IQk5xURkZGRQWFpKRkYHD4WDPnj0AxMTE4OnpyYoVK8jNzSUhIQF3d3fWrl3L5MmTefnll13beOaZZ5gzZw5jxoxh2LBhbNiwgW+//ZYffvihjo5K1EeXa2u9e/emZcuWDBkyhGnTppGTk8PEiRMZNWqUK1CXtiauRXJyMtu2baNnz554eXmRnJzMCy+8wODBg10B5qBBg3jzzTd58sknefXVV0lJSeGDDz5g5syZdVy9aEhefPFFhg4dSocOHejUqROzZs2ioqKCJ554oq5LEw3Yyy+/TP/+/YmMjCQrK4vXX38dNzc3Hn30UUwmE08++SQvvvgifn5+eHt789xzz9GlSxcSEhLqunRRz5WXl3P8+HHX/9PT09mzZw9+fn5ERETw/PPP884779CsWTOaNm3Ka6+9RlhYmOuDnBYtWtCnTx+GDx/Op59+is1m49lnn2XgwIGEhYXV0VGJ+uhSbc3Pz48333yThx56iJCQEFJTUxkzZgwxMTEkJSUB0taEEP9PXU/vLuqvoUOHKsB5Xxs3blQURVFWrVqlxMfHK56enorRaFTi4uKUTz/9VHE4HNW2s3HjRiU+Pl7R6XRKVFSUMn/+/No/GFGvXa6tKYqinDhxQunbt69iMBiUgIAA5aWXXlJsNlu17UhbE1dr586dSufOnRWTyaS4u7srLVq0UCZPnqxYLJZq6+3du1fp1q2botfrlfDwcOXdd9+to4pFQzZ79mwlIiJC0el0SqdOnZStW7fWdUmigXvkkUeU0NBQRafTKeHh4cojjzyiHD9+3LXcbDYrf/vb3xRfX1/Fw8NDeeCBB5Ts7Ow6rFg0FBs3brzge7OhQ4cqiqIoTqdTee2115Tg4GBFr9crd911l3LkyJFq2ygoKFAeffRRxdPTU/H29laeeOIJpaysrA6ORtRnl2prlZWVSu/evZXAwEBFq9UqkZGRyvDhw5WcnJxq25C2JoQ4R6UoilK7saoQQgghhBBCCCGEEELcOOq6LkAIIYQQQgghhBBCCCGuh4ScQgghhBBCCCGEEEKIBk1CTiGEEEIIIYQQQgghRIMmIacQQgghhBBCCCGEEKJBk5BTCCGEEEIIIYQQQgjRoEnIKYQQQgghhBBCCCGEaNAk5BRCCCGEEEIIIYQQQjRoEnIKIYQQQgghhBBCCCEaNAk5hRBCCCGEEEIIIYQQDZqEnEIIIYQQQgghhBBCiAZNQk4hhBBCCCGEEEIIIUSD9n8CAaKzB8g2VQAAAABJRU5ErkJggg==", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -697,7 +846,7 @@ "fig, ax = plt.subplots(1, figsize=(19, 7))\n", "plt.pcolormesh(lon_bnds, lat_bnds, nessy.variables['O3_all']['data'].sum(axis=(0, 1)), cmap='jet', \n", " norm=matplotlib.colors.LogNorm())\n", - "countries = gpd.read_file('/esarchive/shapefiles/gadm_country_mask/gadm_country_ISO3166.shp')\n", + "countries = gpd.read_file('/gpfs/projects/bsc32/models/NES_tutorial_data/gadm_country_mask/gadm_country_ISO3166.shp')\n", "countries.plot(ax=ax, facecolor='none', edgecolor='black', linewidth=0.3)\n", "plt.colorbar(ax=ax, label='Daily maximum ozone (kg·m-3)')\n", "ax.margins(0)" @@ -731,7 +880,7 @@ "Rank 000: Dimensions done\n", "Rank 000: Writing O3_all var (1/1)\n", "Rank 000: Var O3_all created (1/1)\n", - "Rank 000: Filling O3_all)\n", + "Rank 000: Filling O3_all\n", "Rank 000: Var O3_all data (1/1)\n", "Rank 000: Var O3_all completed (1/1)\n" ] @@ -757,10 +906,10 @@ "name": "stderr", "output_type": "stream", "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3058: UserWarning: No vertical level has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3069: UserWarning: No time has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n" + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3805: UserWarning: No vertical level has been specified. The first one will be selected.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3816: UserWarning: No time has been specified. The first one will be selected.\n", + " warn(msg)\n" ] } ], @@ -771,7 +920,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -785,7 +934,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" } }, "nbformat": 4, diff --git a/tutorials/1.Introduction/1.3.Read_Write_Points.ipynb b/tutorials/1.Introduction/1.3.Read_Write_Points.ipynb index bb0e102855ad709d8f277280d289e24118f7c4f2..40bf7a080a990814362001b9500e6745c85eff49 100644 --- a/tutorials/1.Introduction/1.3.Read_Write_Points.ipynb +++ b/tutorials/1.Introduction/1.3.Read_Write_Points.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import geopandas as gpd\n", @@ -53,7 +53,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 3, @@ -62,7 +62,7 @@ } ], "source": [ - "nessy = open_netcdf(path=path, info=True, parallel_method='X')\n", + "nessy = nes.open_netcdf(path=path, info=True, parallel_method='X')\n", "nessy" ] }, @@ -161,25 +161,57 @@ { "data": { "text/plain": [ - "{'data': masked_array(data=[46.813057, 47.479767, 47.04947 , 47.06741 , 35.039165,\n", - " 56.354443, 56.711666, 55.694107, 59.494446, 58.37611 ,\n", - " 39.546944, 42.720554, 39.87528 , 37.23722 , 43.439167,\n", - " 41.274166, 42.319168, 38.47278 , 39.08278 , 41.238888,\n", - " 41.39389 , 42.634724, 37.051945, 51.57108 , 55.79216 ,\n", - " 46.966667, 51.933334, 64.1 , 45.814445, 58.433 ,\n", - " 65.833336, 62.783333, 60.366665, 51.814445, 50.73639 ,\n", - " 54.754166, 54.125275, 43.404 , 63.84889 , 56.028057,\n", - " 58.80111 , 57.393612, 45.56139 , 48.942223, 49.04222 ,\n", - " 78.90667 , 52.802223, 52.083332, 53.662117, 27.28999 ,\n", - " 51.54111 , 47.83861 , 40.384445, 47.766666, 51.974445,\n", - " 49.573395, 54.433334, 56.161945, 59.779167, 40.3358 ,\n", - " 49.733334, 54.9 , 52.11667 , 43.15 , 35.316666,\n", - 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" 12.972222, -6.364524, 6.277222, 16.2322 ],\n", - " mask=False,\n", - " fill_value=1e+20,\n", + "{'data': masked_array(data=[6.944468975067139, 8.904696464538574,\n", + " 6.979203224182129, 8.463338851928711,\n", + " 33.05805969238281, 9.603058815002441,\n", + " 11.533614158630371, 12.088668823242188,\n", + " 25.93056869506836, 21.845012664794922,\n", + " -4.350555896759033, -8.92361068725586,\n", + " 4.316389083862305, -3.5341670513153076,\n", + " -4.849999904632568, -3.1424999237060547,\n", + " 3.31583309173584, -6.923611164093018,\n", + " -1.1011110544204712, -5.897500038146973,\n", + " 0.7347220182418823, -7.704721927642822,\n", + " -6.5552778244018555, -1.3252860307693481,\n", + " -3.2428998947143555, 19.549999237060547,\n", + " -10.233333587646484, -21.016944885253906,\n", + " 8.637225151062012, 8.269000053405762,\n", + " 13.916666984558105, 8.883333206176758,\n", + " 11.066666603088379, 21.971389770507812,\n", + " 15.73972225189209, 17.53444480895996,\n", + " 22.038055419921875, 21.94700050354004,\n", + " 15.335577011108398, 13.149457931518555,\n", + " 17.3819580078125, 11.914179801940918,\n", + " 14.862789154052734, 19.59223175048828,\n", + " 22.25973129272461, 11.888333320617676,\n", + " 10.759444236755371, 6.566667079925537,\n", + " 17.934017181396484, 33.74988555908203,\n", + " 5.853610992431641, 14.441389083862305,\n", + " 44.260581970214844, 16.766666412353516,\n", + " 4.923611164093018, 15.080278396606445,\n", + " 12.733332633972168, 21.17305564880371,\n", + " 21.377222061157227, 18.124500274658203,\n", + " 16.049999237060547, 37.79999923706055,\n", + " 5.199999809265137, 19.133333206176758,\n", + " 25.666667938232422, 21.030555725097656,\n", + " 7.908610820770264, 13.033332824707031,\n", + " 12.633333206176758, 27.667539596557617,\n", + " 12.933859825134277, -6.924722194671631,\n", + " -7.342778205871582, 8.309721946716309,\n", + " 10.766667366027832, 13.600000381469727,\n", + " 27.217775344848633, 24.23722267150879,\n", + " 7.985000133514404, 4.5, 12.972222328186035,\n", + " -6.364523887634277, 6.277222156524658,\n", + " 16.232200622558594],\n", + " mask=[False, False, False, False, False, False, False, False,\n", + " False, False, False, False, False, False, False, False,\n", + " False, False, False, False, False, False, False, False,\n", + " False, False, False, False, False, False, False, False,\n", + " False, False, False, False, False, False, False, False,\n", + " False, False, False, False, False, False, False, False,\n", + " False, False, False, False, False, False, False, False,\n", + " False, False, False, False, False, False, False, False,\n", + " False, False, False, False, False, False, False, False,\n", + " False, False, False, False, False, False, False, False,\n", + " False, False, False, False],\n", + " fill_value=np.float64(1e+20),\n", " dtype=float32),\n", " 'dimensions': ('station',),\n", " 'dtype': dtype('float32'),\n", @@ -402,11 +465,11 @@ "
    1POINT (8.90470 47.47977)POINT (8.9047 47.47977)
    2POINT (6.97920 47.04947)POINT (6.9792 47.04947)
    3
    79POINT (4.50000 52.30000)POINT (4.5 52.3)
    80
    83POINT (16.23220 38.87630)POINT (16.2322 38.8763)
    \n", @@ -449,16 +512,16 @@ " geometry\n", "FID \n", "0 POINT (6.94447 46.81306)\n", - "1 POINT (8.90470 47.47977)\n", - "2 POINT (6.97920 47.04947)\n", + "1 POINT (8.9047 47.47977)\n", + "2 POINT (6.9792 47.04947)\n", "3 POINT (8.46334 47.06741)\n", "4 POINT (33.05806 35.03917)\n", ".. ...\n", - "79 POINT (4.50000 52.30000)\n", + "79 POINT (4.5 52.3)\n", "80 POINT (12.97222 46.67778)\n", "81 POINT (-6.36452 52.17807)\n", "82 POINT (6.27722 53.33389)\n", - "83 POINT (16.23220 38.87630)\n", + "83 POINT (16.2322 38.8763)\n", "\n", "[84 rows x 1 columns]" ] @@ -522,12 +585,12 @@ " \n", " \n", " 1\n", - " POINT (8.90470 47.47977)\n", + " POINT (8.9047 47.47977)\n", " 15.400000\n", " \n", " \n", " 2\n", - " POINT (6.97920 47.04947)\n", + " POINT (6.9792 47.04947)\n", " 16.200001\n", " \n", " \n", @@ -547,7 +610,7 @@ " \n", " \n", " 79\n", - " POINT (4.50000 52.30000)\n", + " POINT (4.5 52.3)\n", " 21.500000\n", " \n", " \n", @@ -567,7 +630,7 @@ " \n", " \n", " 83\n", - " POINT (16.23220 38.87630)\n", + " POINT (16.2322 38.8763)\n", " NaN\n", " \n", " \n", @@ -579,16 +642,16 @@ " geometry pm10\n", "FID \n", "0 POINT (6.94447 46.81306) 17.900000\n", - "1 POINT (8.90470 47.47977) 15.400000\n", - "2 POINT (6.97920 47.04947) 16.200001\n", + "1 POINT (8.9047 47.47977) 15.400000\n", + "2 POINT (6.9792 47.04947) 16.200001\n", "3 POINT (8.46334 47.06741) 15.200000\n", "4 POINT (33.05806 35.03917) 17.700001\n", ".. ... ...\n", - "79 POINT (4.50000 52.30000) 21.500000\n", + "79 POINT (4.5 52.3) 21.500000\n", "80 POINT (12.97222 46.67778) NaN\n", "81 POINT (-6.36452 52.17807) NaN\n", "82 POINT (6.27722 53.33389) 14.830000\n", - "83 POINT (16.23220 38.87630) NaN\n", + "83 POINT (16.2322 38.8763) NaN\n", "\n", "[84 rows x 2 columns]" ] @@ -610,14 +673,12 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -625,7 +686,7 @@ "fig, ax = plt.subplots(1, figsize=(19, 7))\n", "ax.set_xlim([-25, 45])\n", "ax.set_ylim([30, 70])\n", - "countries = gpd.read_file('/esarchive/shapefiles/gadm_country_mask/gadm_country_ISO3166.shp')\n", + "countries = gpd.read_file('/gpfs/projects/bsc32/models/NES_tutorial_data/gadm_country_mask/gadm_country_ISO3166.shp')\n", "countries.plot(ax=ax, facecolor='none', edgecolor='black', linewidth=0.3)\n", "nessy.shapefile.plot(ax=ax, column='pm10', cmap='jet', edgecolor='black', linewidth=0.5, legend=True,\n", " legend_kwds={'label': 'PM10 (µg/m3)'})\n", @@ -655,36 +716,36 @@ "name": "stderr", "output_type": "stream", "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable station_start_date. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable station_zone. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable street_type. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable country_code. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable ccaa. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable station_area. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable city. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable station_emep. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable station_type. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable country. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable station_code. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable station_end_date. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable station_rural_back. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable station_ozone_classification. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n" + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_start_date. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_zone. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable street_type. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable country_code. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable ccaa. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_area. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable city. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_emep. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_type. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable country. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_code. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_end_date. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_rural_back. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_ozone_classification. Input dtype=. Data dtype=object.\n", + " warn(msg)\n" ] }, { @@ -802,12 +863,36 @@ "name": "stderr", "output_type": "stream", "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3058: UserWarning: No vertical level has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3069: UserWarning: No time has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3009: UserWarning: Column names longer than 10 characters will be truncated when saved to ESRI Shapefile.\n", - " self.shapefile.to_file(path)\n" + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3805: UserWarning: No vertical level has been specified. The first one will be selected.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3816: UserWarning: No time has been specified. The first one will be selected.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3756: UserWarning: Column names longer than 10 characters will be truncated when saved to ESRI Shapefile.\n", + " self.shapefile.to_file(path)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/pyogrio/raw.py:709: RuntimeWarning: Normalized/laundered field name: 'station_start_date' to 'station_st'\n", + " ogr_write(\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/pyogrio/raw.py:709: RuntimeWarning: Normalized/laundered field name: 'station_zone' to 'station_zo'\n", + " ogr_write(\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/pyogrio/raw.py:709: RuntimeWarning: Normalized/laundered field name: 'street_type' to 'street_typ'\n", + " ogr_write(\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/pyogrio/raw.py:709: RuntimeWarning: Normalized/laundered field name: 'country_code' to 'country_co'\n", + " ogr_write(\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/pyogrio/raw.py:709: RuntimeWarning: Normalized/laundered field name: 'station_name' to 'station_na'\n", + " ogr_write(\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/pyogrio/raw.py:709: RuntimeWarning: Normalized/laundered field name: 'station_area' to 'station_ar'\n", + " ogr_write(\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/pyogrio/raw.py:709: RuntimeWarning: Normalized/laundered field name: 'station_emep' to 'station_em'\n", + " ogr_write(\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/pyogrio/raw.py:709: RuntimeWarning: Normalized/laundered field name: 'station_type' to 'station_ty'\n", + " ogr_write(\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/pyogrio/raw.py:709: RuntimeWarning: Normalized/laundered field name: 'station_code' to 'station_co'\n", + " ogr_write(\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/pyogrio/raw.py:709: RuntimeWarning: Normalized/laundered field name: 'station_end_date' to 'station_en'\n", + " ogr_write(\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/pyogrio/raw.py:709: RuntimeWarning: Normalized/laundered field name: 'station_rural_back' to 'station_ru'\n", + " ogr_write(\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/pyogrio/raw.py:709: RuntimeWarning: Normalized/laundered field name: 'station_ozone_classification' to 'station_oz'\n", + " ogr_write(\n" ] } ], @@ -847,7 +932,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 17, @@ -856,7 +941,7 @@ } ], "source": [ - "nessy_ghost = open_netcdf(path=path, info=True, parallel_method='X')\n", + "nessy_ghost = nes.open_netcdf(path=path, info=True, parallel_method='X')\n", "nessy_ghost" ] }, @@ -1056,7 +1141,7 @@ " \n", " \n", " 0\n", - " POINT (7.98500 46.54750)\n", + " POINT (7.985 46.5475)\n", " \n", " \n", " 1\n", @@ -1084,23 +1169,23 @@ " \n", " \n", " 7\n", - " POINT (10.76667 50.65000)\n", + " POINT (10.76667 50.65)\n", " \n", " \n", " 8\n", - " POINT (12.72490 54.43680)\n", + " POINT (12.7249 54.4368)\n", " \n", " \n", " 9\n", - " POINT (24.28333 61.85000)\n", + " POINT (24.28333 61.85)\n", " \n", " \n", " 10\n", - " POINT (8.63333 45.80000)\n", + " POINT (8.63333 45.8)\n", " \n", " \n", " 11\n", - " POINT (10.70000 44.18333)\n", + " POINT (10.7 44.18333)\n", " \n", " \n", "\n", @@ -1109,18 +1194,18 @@ "text/plain": [ " geometry\n", "FID \n", - "0 POINT (7.98500 46.54750)\n", + "0 POINT (7.985 46.5475)\n", "1 POINT (8.17543 47.18961)\n", "2 POINT (15.08028 49.57339)\n", "3 POINT (8.30972 54.92556)\n", "4 POINT (10.75944 52.80222)\n", "5 POINT (7.90861 47.91472)\n", "6 POINT (13.03333 53.16667)\n", - "7 POINT (10.76667 50.65000)\n", - "8 POINT (12.72490 54.43680)\n", - "9 POINT (24.28333 61.85000)\n", - "10 POINT (8.63333 45.80000)\n", - "11 POINT (10.70000 44.18333)" + "7 POINT (10.76667 50.65)\n", + "8 POINT (12.7249 54.4368)\n", + "9 POINT (24.28333 61.85)\n", + "10 POINT (8.63333 45.8)\n", + "11 POINT (10.7 44.18333)" ] }, "execution_count": 23, @@ -1170,7 +1255,7 @@ " \n", " \n", " 0\n", - " POINT (7.98500 46.54750)\n", + " POINT (7.985 46.5475)\n", " 0.291957\n", " \n", " \n", @@ -1205,27 +1290,27 @@ " \n", " \n", " 7\n", - " POINT (10.76667 50.65000)\n", + " POINT (10.76667 50.65)\n", " 1.021437\n", " \n", " \n", " 8\n", - " POINT (12.72490 54.43680)\n", + " POINT (12.7249 54.4368)\n", " 1.650011\n", " \n", " \n", " 9\n", - " POINT (24.28333 61.85000)\n", + " POINT (24.28333 61.85)\n", " 2.523140\n", " \n", " \n", " 10\n", - " POINT (8.63333 45.80000)\n", + " POINT (8.63333 45.8)\n", " 9.422871\n", " \n", " \n", " 11\n", - " POINT (10.70000 44.18333)\n", + " POINT (10.7 44.18333)\n", " 0.259719\n", " \n", " \n", @@ -1235,18 +1320,18 @@ "text/plain": [ " geometry sconcno2\n", "FID \n", - "0 POINT (7.98500 46.54750) 0.291957\n", + "0 POINT (7.985 46.5475) 0.291957\n", "1 POINT (8.17543 47.18961) 0.956589\n", "2 POINT (15.08028 49.57339) 1.470311\n", "3 POINT (8.30972 54.92556) 1.122448\n", "4 POINT (10.75944 52.80222) 1.700517\n", "5 POINT (7.90861 47.91472) NaN\n", "6 POINT (13.03333 53.16667) 1.223471\n", - "7 POINT (10.76667 50.65000) 1.021437\n", - "8 POINT (12.72490 54.43680) 1.650011\n", - "9 POINT (24.28333 61.85000) 2.523140\n", - "10 POINT (8.63333 45.80000) 9.422871\n", - "11 POINT (10.70000 44.18333) 0.259719" + "7 POINT (10.76667 50.65) 1.021437\n", + "8 POINT (12.7249 54.4368) 1.650011\n", + "9 POINT (24.28333 61.85) 2.523140\n", + "10 POINT (8.63333 45.8) 9.422871\n", + "11 POINT (10.7 44.18333) 0.259719" ] }, "execution_count": 24, @@ -1261,27 +1346,14 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig, ax = plt.subplots(1, figsize=(19, 7))\n", "ax.set_xlim([-25, 45])\n", "ax.set_ylim([30, 70])\n", - "countries = gpd.read_file('/esarchive/shapefiles/gadm_country_mask/gadm_country_ISO3166.shp')\n", + "countries = gpd.read_file('/gpfs/projects/bsc32/models/NES_tutorial_data/gadm_country_mask/gadm_country_ISO3166.shp')\n", "countries.plot(ax=ax, facecolor='none', edgecolor='black', linewidth=0.3)\n", "nessy_ghost.shapefile.plot(ax=ax, column='sconcno2', cmap='jet', edgecolor='black', lw=0.5, legend=True,\n", " legend_kwds={'label': 'Surface NO2 (nmol mol-1)'})\n", @@ -1304,51 +1376,9 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes_ghost.py:329: UserWarning: WARNING!!! Different data types for variable country. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes_ghost.py:329: UserWarning: WARNING!!! Different data types for variable land_use. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes_ghost.py:329: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Rank 000: Creating points_ghost.nc\n", - "Rank 000: NetCDF ready to write\n", - "Rank 000: Dimensions done\n", - "Rank 000: Writing country var (1/4)\n", - "Rank 000: Var country created (1/4)\n", - "Rank 000: Filling country)\n", - "Rank 000: Var country data (1/4)\n", - "Rank 000: Var country completed (1/4)\n", - "Rank 000: Writing land_use var (2/4)\n", - "Rank 000: Var land_use created (2/4)\n", - "Rank 000: Filling land_use)\n", - "Rank 000: Var land_use data (2/4)\n", - "Rank 000: Var land_use completed (2/4)\n", - "Rank 000: Writing sconcno2 var (3/4)\n", - "Rank 000: Var sconcno2 created (3/4)\n", - "Rank 000: Filling sconcno2)\n", - "Rank 000: Var sconcno2 data (3/4)\n", - "Rank 000: Var sconcno2 completed (3/4)\n", - "Rank 000: Writing station_name var (4/4)\n", - "Rank 000: Var station_name created (4/4)\n", - "Rank 000: Filling station_name)\n", - "Rank 000: Var station_name data (4/4)\n", - "Rank 000: Var station_name completed (4/4)\n" - ] - } - ], + "outputs": [], "source": [ "nessy_ghost.to_netcdf('points_ghost.nc', info=True)" ] @@ -1362,51 +1392,9 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes_ghost.py:329: UserWarning: WARNING!!! Different data types for variable country. Input dtype=. Data dtype=. Data dtype=. Data dtype=" + "" ] }, "execution_count": 4, @@ -63,7 +63,7 @@ } ], "source": [ - "nessy = open_netcdf(path=path, info=True)\n", + "nessy = nes.open_netcdf(path=path, info=True)\n", "nessy" ] }, @@ -82,7 +82,10 @@ { "data": { "text/plain": [ - "Proj('+proj=lcc +lat_0=40 +lon_0=-3 +lat_1=43 +lat_2=37 +x_0=0 +y_0=0 +R=6356752.3142 +units=m +no_defs', preserve_units=True)" + "\n", + "Description: PROJ-based coordinate operation\n", + "Area of Use:\n", + "- undefined" ] }, "execution_count": 5, @@ -152,8 +155,8 @@ { "data": { "text/plain": [ - "{'data': masked_array(data=[0.],\n", - " mask=False,\n", + "{'data': masked_array(data=[0.0],\n", + " mask=[False],\n", " fill_value=1e+20),\n", " 'dimensions': ('lev',),\n", " 'dtype': dtype('float64'),\n", @@ -178,140 +181,252 @@ { "data": { "text/plain": [ - "{'data': masked_array(data=[-805847.93512686, -801847.95626194, -797848.36116962,\n", - " -793846.40078545, -789847.5662888 , -785846.12161903,\n", - " -781847.9213502 , -777847.26711017, 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-13.41101074, ..., 7.05273438,\n", - " 7.10449219, 7.15625 ],\n", - " [-13.52056885, -13.46884155, -13.41708374, ..., 7.05859375,\n", - " 7.1104126 , 7.16220093],\n", - " [-13.5267334 , -13.47494507, -13.42315674, ..., 7.06448364,\n", - " 7.11630249, 7.16812134]],\n", - " mask=False,\n", + " [False, False, False, ..., False, False, False],\n", + " [False, False, False, ..., False, False, False],\n", + " [False, False, False, ..., False, False, False]],\n", " fill_value=1e+20),\n", " 'dimensions': ('y', 'x'),\n", " 'dtype': dtype('float64'),\n", @@ -679,14 +914,12 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -696,7 +929,7 @@ "ax.set_ylim([32, 48])\n", "plt.pcolormesh(lon_bnds, lat_bnds, nessy.variables['sconco3']['data'].sum(axis=(0, 1)), cmap='jet', \n", " norm=matplotlib.colors.LogNorm())\n", - "countries = gpd.read_file('/esarchive/shapefiles/gadm_country_mask/gadm_country_ISO3166.shp')\n", + "countries = gpd.read_file('/gpfs/projects/bsc32/models/NES_tutorial_data/gadm_country_mask/gadm_country_ISO3166.shp')\n", "countries.plot(ax=ax, facecolor='none', edgecolor='black', linewidth=0.3)\n", "plt.colorbar(ax=ax, label='Surface ozone (ppm)')\n", "ax.margins(0)" @@ -730,7 +963,7 @@ "Rank 000: Dimensions done\n", "Rank 000: Writing sconco3 var (1/1)\n", "Rank 000: Var sconco3 created (1/1)\n", - "Rank 000: Filling sconco3)\n", + "Rank 000: Filling sconco3\n", "Rank 000: Var sconco3 data (1/1)\n", "Rank 000: Var sconco3 completed (1/1)\n" ] @@ -756,10 +989,10 @@ "name": "stderr", "output_type": "stream", "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3058: UserWarning: No vertical level has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3069: UserWarning: No time has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n" + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3805: UserWarning: No vertical level has been specified. The first one will be selected.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3816: UserWarning: No time has been specified. The first one will be selected.\n", + " warn(msg)\n" ] } ], @@ -770,7 +1003,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -784,7 +1017,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" } }, "nbformat": 4, diff --git a/tutorials/1.Introduction/1.5.Read_Write_Mercator.ipynb b/tutorials/1.Introduction/1.5.Read_Write_Mercator.ipynb index ed6240780ba2292b5177f13b52f8d85bb0c44d55..5fe0dc649debfabb70dca5aa53b9c6f65518b6c9 100644 --- a/tutorials/1.Introduction/1.5.Read_Write_Mercator.ipynb +++ b/tutorials/1.Introduction/1.5.Read_Write_Mercator.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import geopandas as gpd" @@ -54,7 +54,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 4, @@ -63,7 +63,7 @@ } ], "source": [ - "nessy = open_netcdf(path, info=True)\n", + "nessy = nes.open_netcdf(path, info=True)\n", "nessy" ] }, @@ -82,7 +82,10 @@ { "data": { "text/plain": [ - "Proj('+proj=merc +lat_ts=-1.5 +lon_0=-18 +x_0=0 +y_0=0 +a=6378137 +b=6356752.3142 +units=m +no_defs', preserve_units=True)" + "\n", + "Description: PROJ-based coordinate operation\n", + "Area of Use:\n", + "- undefined" ] }, "execution_count": 5, @@ -103,8 +106,8 @@ "data": { "text/plain": [ "{'grid_mapping_name': 'mercator',\n", - " 'standard_parallel': -1.5,\n", - " 'longitude_of_projection_origin': -18.0}" + " 'standard_parallel': np.float64(-1.5),\n", + " 'longitude_of_projection_origin': np.float64(-18.0)}" ] }, "execution_count": 6, @@ -151,8 +154,8 @@ { "data": { "text/plain": [ - "{'data': masked_array(data=[0.],\n", - " mask=False,\n", + "{'data': masked_array(data=[0.0],\n", + " mask=[False],\n", " fill_value=1e+20),\n", " 'dimensions': ('lev',),\n", " 'dtype': dtype('float64'),\n", @@ -177,77 +180,76 @@ { "data": { "text/plain": [ - "{'data': masked_array(data=[-1.01017500e+05, -5.10175000e+04, -1.01750000e+03,\n", - " 4.89825000e+04, 9.89825000e+04, 1.48982500e+05,\n", - " 1.98982500e+05, 2.48982500e+05, 2.98982500e+05,\n", - " 3.48982500e+05, 3.98982500e+05, 4.48982500e+05,\n", - " 4.98982500e+05, 5.48982500e+05, 5.98982500e+05,\n", - " 6.48982500e+05, 6.98982500e+05, 7.48982500e+05,\n", - " 7.98982500e+05, 8.48982500e+05, 8.98982500e+05,\n", - " 9.48982500e+05, 9.98982500e+05, 1.04898250e+06,\n", - " 1.09898250e+06, 1.14898250e+06, 1.19898250e+06,\n", - " 1.24898250e+06, 1.29898250e+06, 1.34898250e+06,\n", - " 1.39898250e+06, 1.44898250e+06, 1.49898250e+06,\n", - " 1.54898250e+06, 1.59898250e+06, 1.64898250e+06,\n", - " 1.69898250e+06, 1.74898250e+06, 1.79898250e+06,\n", - " 1.84898250e+06, 1.89898250e+06, 1.94898250e+06,\n", - " 1.99898250e+06, 2.04898250e+06, 2.09898250e+06,\n", - " 2.14898250e+06, 2.19898250e+06, 2.24898250e+06,\n", - 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49.45358158053643],\n", + " [49.74561434108755, 49.74561434108755, 49.74561434108755, ...,\n", + " 49.74561434108755, 49.74561434108755, 49.74561434108755]],\n", + " mask=[[False, False, False, ..., False, False, False],\n", + " [False, False, False, ..., False, False, False],\n", + " [False, False, False, ..., False, False, False],\n", + " ...,\n", + " [False, False, False, ..., False, False, False],\n", + " [False, False, False, ..., False, False, False],\n", + " [False, False, False, ..., False, False, False]],\n", " fill_value=1e+20),\n", " 'dimensions': ('y', 'x'),\n", " 'dtype': dtype('float64'),\n", @@ -396,20 +438,26 @@ "data": { "text/plain": [ "{'data': masked_array(\n", - " data=[[-18.90776463, -18.45845405, -18.00914347, ..., 74.0995253 ,\n", - " 74.54883588, 74.99814646],\n", - " [-18.90776463, -18.45845405, -18.00914347, ..., 74.0995253 ,\n", - " 74.54883588, 74.99814646],\n", - " [-18.90776463, -18.45845405, -18.00914347, ..., 74.0995253 ,\n", - " 74.54883588, 74.99814646],\n", + " data=[[-18.907764629055805, -18.458454049673122, -18.00914347029044,\n", + " ..., 74.09952530315982, 74.54883588254252, 74.99814646192519],\n", + " [-18.907764629055805, -18.458454049673122, -18.00914347029044,\n", + " ..., 74.09952530315982, 74.54883588254252, 74.99814646192519],\n", + " [-18.907764629055805, -18.458454049673122, -18.00914347029044,\n", + " ..., 74.09952530315982, 74.54883588254252, 74.99814646192519],\n", + " ...,\n", + " [-18.907764629055805, -18.458454049673122, -18.00914347029044,\n", + " ..., 74.09952530315982, 74.54883588254252, 74.99814646192519],\n", + " [-18.907764629055805, -18.458454049673122, -18.00914347029044,\n", + " ..., 74.09952530315982, 74.54883588254252, 74.99814646192519],\n", + " [-18.907764629055805, -18.458454049673122, -18.00914347029044,\n", + " ..., 74.09952530315982, 74.54883588254252, 74.99814646192519]],\n", + " mask=[[False, False, False, ..., False, False, False],\n", + " [False, False, False, ..., False, False, False],\n", + " [False, False, False, ..., False, False, False],\n", " ...,\n", - " [-18.90776463, -18.45845405, -18.00914347, ..., 74.0995253 ,\n", - " 74.54883588, 74.99814646],\n", - " [-18.90776463, -18.45845405, -18.00914347, ..., 74.0995253 ,\n", - " 74.54883588, 74.99814646],\n", - " [-18.90776463, -18.45845405, -18.00914347, ..., 74.0995253 ,\n", - " 74.54883588, 74.99814646]],\n", - " mask=False,\n", + " [False, False, False, ..., False, False, False],\n", + " [False, False, False, ..., False, False, False],\n", + " [False, False, False, ..., False, False, False]],\n", " fill_value=1e+20),\n", " 'dimensions': ('y', 'x'),\n", " 'dtype': dtype('float64'),\n", @@ -511,10 +559,10 @@ "name": "stderr", "output_type": "stream", "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3058: UserWarning: No vertical level has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3069: UserWarning: No time has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n" + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3805: UserWarning: No vertical level has been specified. The first one will be selected.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3816: UserWarning: No time has been specified. The first one will be selected.\n", + " warn(msg)\n" ] } ], @@ -525,7 +573,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -539,7 +587,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" } }, "nbformat": 4, diff --git a/tutorials/2.Creation/2.1.Create_Regular.ipynb b/tutorials/2.Creation/2.1.Create_Regular.ipynb index 69085821e4fea2998cfc90c331a391ac7b0557ee..894092b26f1e4f006b5a8013e8100883b999ed81 100644 --- a/tutorials/2.Creation/2.1.Create_Regular.ipynb +++ b/tutorials/2.Creation/2.1.Create_Regular.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import geopandas as gpd" @@ -65,9 +65,9 @@ "metadata": {}, "outputs": [], "source": [ - "nessy = create_nes(comm=None, info=False, projection=projection,\n", - " lat_orig=lat_orig, lon_orig=lon_orig, inc_lat=inc_lat, inc_lon=inc_lon, \n", - " n_lat=n_lat, n_lon=n_lon)" + "nessy = nes.create_nes(comm=None, info=False, projection=projection,\n", + " lat_orig=lat_orig, lon_orig=lon_orig, inc_lat=inc_lat, inc_lon=inc_lon, \n", + " n_lat=n_lat, n_lon=n_lon)" ] }, { @@ -85,7 +85,10 @@ { "data": { "text/plain": [ - "Proj('+proj=longlat +ellps=WGS84 +no_defs', preserve_units=True)" + "\n", + "Description: PROJ-based coordinate operation\n", + "Area of Use:\n", + "- undefined" ] }, "execution_count": 5, @@ -168,23 +171,23 @@ " \n", " \n", " 0\n", - " POLYGON ((-30.00000 29.99500, -29.90000 29.995...\n", + " POLYGON ((-30 29.995, -29.9 29.995, -29.9 30.0...\n", " \n", " \n", " 1\n", - " POLYGON ((-29.90000 29.99500, -29.80000 29.995...\n", + " POLYGON ((-29.9 29.995, -29.8 29.995, -29.8 30...\n", " \n", " \n", " 2\n", - " POLYGON ((-29.80000 29.99500, -29.70000 29.995...\n", + " POLYGON ((-29.8 29.995, -29.7 29.995, -29.7 30...\n", " \n", " \n", " 3\n", - " POLYGON ((-29.70000 29.99500, -29.60000 29.995...\n", + " POLYGON ((-29.7 29.995, -29.6 29.995, -29.6 30...\n", " \n", " \n", " 4\n", - " POLYGON ((-29.60000 29.99500, -29.50000 29.995...\n", + " POLYGON ((-29.6 29.995, -29.5 29.995, -29.5 30...\n", " \n", " \n", " ...\n", @@ -192,23 +195,23 @@ " \n", " \n", " 755995\n", - " POLYGON ((59.50000 71.94500, 59.60000 71.94500...\n", + " POLYGON ((59.5 71.945, 59.6 71.945, 59.6 71.99...\n", " \n", " \n", " 755996\n", - " POLYGON ((59.60000 71.94500, 59.70000 71.94500...\n", + " POLYGON ((59.6 71.945, 59.7 71.945, 59.7 71.99...\n", " \n", " \n", " 755997\n", - " POLYGON ((59.70000 71.94500, 59.80000 71.94500...\n", + " POLYGON ((59.7 71.945, 59.8 71.945, 59.8 71.99...\n", " \n", " \n", " 755998\n", - " POLYGON ((59.80000 71.94500, 59.90000 71.94500...\n", + " POLYGON ((59.8 71.945, 59.9 71.945, 59.9 71.99...\n", " \n", " \n", " 755999\n", - " POLYGON ((59.90000 71.94500, 60.00000 71.94500...\n", + " POLYGON ((59.9 71.945, 60 71.945, 60 71.995, 5...\n", " \n", " \n", "\n", @@ -218,17 +221,17 @@ "text/plain": [ " geometry\n", "FID \n", - "0 POLYGON ((-30.00000 29.99500, -29.90000 29.995...\n", - "1 POLYGON ((-29.90000 29.99500, -29.80000 29.995...\n", - "2 POLYGON ((-29.80000 29.99500, -29.70000 29.995...\n", - "3 POLYGON ((-29.70000 29.99500, -29.60000 29.995...\n", - "4 POLYGON ((-29.60000 29.99500, -29.50000 29.995...\n", + "0 POLYGON ((-30 29.995, -29.9 29.995, -29.9 30.0...\n", + "1 POLYGON ((-29.9 29.995, -29.8 29.995, -29.8 30...\n", + "2 POLYGON ((-29.8 29.995, -29.7 29.995, -29.7 30...\n", + "3 POLYGON ((-29.7 29.995, -29.6 29.995, -29.6 30...\n", + "4 POLYGON ((-29.6 29.995, -29.5 29.995, -29.5 30...\n", "... ...\n", - "755995 POLYGON ((59.50000 71.94500, 59.60000 71.94500...\n", - "755996 POLYGON ((59.60000 71.94500, 59.70000 71.94500...\n", - "755997 POLYGON ((59.70000 71.94500, 59.80000 71.94500...\n", - "755998 POLYGON ((59.80000 71.94500, 59.90000 71.94500...\n", - "755999 POLYGON ((59.90000 71.94500, 60.00000 71.94500...\n", + "755995 POLYGON ((59.5 71.945, 59.6 71.945, 59.6 71.99...\n", + "755996 POLYGON ((59.6 71.945, 59.7 71.945, 59.7 71.99...\n", + "755997 POLYGON ((59.7 71.945, 59.8 71.945, 59.8 71.99...\n", + "755998 POLYGON ((59.8 71.945, 59.9 71.945, 59.9 71.99...\n", + "755999 POLYGON ((59.9 71.945, 60 71.945, 60 71.995, 5...\n", "\n", "[756000 rows x 1 columns]" ] @@ -249,21 +252,19 @@ "outputs": [ { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1, figsize=(19, 7))\n", "nessy.shapefile.plot(ax=ax, facecolor='blue', edgecolor='blue')\n", - "countries = gpd.read_file('/esarchive/shapefiles/gadm_country_mask/gadm_country_ISO3166.shp')\n", + "countries = gpd.read_file('/gpfs/projects/bsc32/models/NES_tutorial_data/gadm_country_mask/gadm_country_ISO3166.shp')\n", "countries.plot(ax=ax, facecolor='none', edgecolor='black', linewidth=0.3)\n", "ax.margins(0)" ] @@ -317,10 +318,10 @@ "name": "stderr", "output_type": "stream", "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3058: UserWarning: No vertical level has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3069: UserWarning: No time has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n" + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3805: UserWarning: No vertical level has been specified. The first one will be selected.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3816: UserWarning: No time has been specified. The first one will be selected.\n", + " warn(msg)\n" ] } ], @@ -331,7 +332,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -345,7 +346,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" } }, "nbformat": 4, diff --git a/tutorials/2.Creation/2.2.Create_Rotated.ipynb b/tutorials/2.Creation/2.2.Create_Rotated.ipynb index 47492ff10c9363bf29d9c228ed1497ef68d1090c..c4eb12789834bc553adb52c5eb4bbc070310b78a 100644 --- a/tutorials/2.Creation/2.2.Create_Rotated.ipynb +++ b/tutorials/2.Creation/2.2.Create_Rotated.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import geopandas as gpd" @@ -65,10 +65,10 @@ "metadata": {}, "outputs": [], "source": [ - "nessy = create_nes(comm=None, info=False, projection=projection,\n", - " centre_lat=centre_lat, centre_lon=centre_lon,\n", - " west_boundary=west_boundary, south_boundary=south_boundary,\n", - " inc_rlat=inc_rlat, inc_rlon=inc_rlon)" + "nessy = nes.create_nes(comm=None, info=False, projection=projection,\n", + " centre_lat=centre_lat, centre_lon=centre_lon,\n", + " west_boundary=west_boundary, south_boundary=south_boundary,\n", + " inc_rlat=inc_rlat, inc_rlon=inc_rlon)" ] }, { @@ -86,7 +86,10 @@ { "data": { "text/plain": [ - "Proj('+proj=ob_tran +o_proj=longlat +ellps=WGS84 +R=6356752.3142 +o_lat_p=39.0 +o_lon_p=-170.0', preserve_units=True)" + "\n", + "Description: PROJ-based coordinate operation\n", + "Area of Use:\n", + "- undefined" ] }, "execution_count": 5, @@ -183,7 +186,7 @@ " \n", " \n", " 4\n", - " POLYGON ((-21.71271 16.49970, -21.58887 16.560...\n", + " POLYGON ((-21.71271 16.4997, -21.58887 16.5608...\n", " \n", " \n", " ...\n", @@ -191,11 +194,11 @@ " \n", " \n", " 168582\n", - " POLYGON ((87.40699 59.08029, 87.54350 58.96649...\n", + " POLYGON ((87.40699 59.08029, 87.5435 58.96649,...\n", " \n", " \n", " 168583\n", - " POLYGON ((87.54350 58.96649, 87.67937 58.85263...\n", + " POLYGON ((87.5435 58.96649, 87.67937 58.85263,...\n", " \n", " \n", " 168584\n", @@ -221,10 +224,10 @@ "1 POLYGON ((-22.08333 16.31491, -21.95995 16.376...\n", "2 POLYGON ((-21.95995 16.37672, -21.83641 16.438...\n", "3 POLYGON ((-21.83641 16.43832, -21.71271 16.499...\n", - "4 POLYGON ((-21.71271 16.49970, -21.58887 16.560...\n", + "4 POLYGON ((-21.71271 16.4997, -21.58887 16.5608...\n", "... ...\n", - "168582 POLYGON ((87.40699 59.08029, 87.54350 58.96649...\n", - "168583 POLYGON ((87.54350 58.96649, 87.67937 58.85263...\n", + "168582 POLYGON ((87.40699 59.08029, 87.5435 58.96649,...\n", + "168583 POLYGON ((87.5435 58.96649, 87.67937 58.85263,...\n", "168584 POLYGON ((87.67937 58.85263, 87.81461 58.73871...\n", "168585 POLYGON ((87.81461 58.73871, 87.94923 58.62474...\n", "168586 POLYGON ((87.94923 58.62474, 88.08323 58.51071...\n", @@ -248,21 +251,19 @@ "outputs": [ { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1, figsize=(19, 7))\n", "nessy.shapefile.plot(ax=ax, facecolor=\"blue\", edgecolor=\"blue\")\n", - "countries = gpd.read_file('/esarchive/shapefiles/gadm_country_mask/gadm_country_ISO3166.shp')\n", + "countries = gpd.read_file('/gpfs/projects/bsc32/models/NES_tutorial_data/gadm_country_mask/gadm_country_ISO3166.shp')\n", "countries.plot(ax=ax, facecolor=\"none\", edgecolor='black', linewidth=0.3)\n", "ax.margins(0)" ] @@ -316,10 +317,10 @@ "name": "stderr", "output_type": "stream", "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3058: UserWarning: No vertical level has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3069: UserWarning: No time has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n" + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3805: UserWarning: No vertical level has been specified. The first one will be selected.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3816: UserWarning: No time has been specified. The first one will be selected.\n", + " warn(msg)\n" ] } ], @@ -330,7 +331,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -344,7 +345,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" } }, "nbformat": 4, diff --git a/tutorials/2.Creation/2.3.Create_Points_XVPCA.ipynb b/tutorials/2.Creation/2.3.Create_Points_XVPCA.ipynb index 1055297795b08fddefe9cd26f3c2df5be4f5b38c..4dce788c3b64e5dff1f5d00decb9a4d61097c504 100644 --- a/tutorials/2.Creation/2.3.Create_Points_XVPCA.ipynb +++ b/tutorials/2.Creation/2.3.Create_Points_XVPCA.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import geopandas as gpd\n", @@ -1822,7 +1822,7 @@ "metadata": {}, "outputs": [], "source": [ - "nessy = create_nes(comm=None, info=False, projection=None, parallel_method='X', lat=lat, lon=lon, times=times)" + "nessy = nes.create_nes(comm=None, info=False, projection=None, parallel_method='X', lat=lat, lon=lon, times=times)" ] }, { @@ -1908,11 +1908,11 @@ " \n", " \n", " 1\n", - " POINT (1.83853 41.72770)\n", + " POINT (1.83853 41.7277)\n", " \n", " \n", " 2\n", - " POINT (2.01460 41.56782)\n", + " POINT (2.0146 41.56782)\n", " \n", " \n", " 3\n", @@ -1928,11 +1928,11 @@ " \n", " \n", " 129\n", - " POINT (2.25730 41.92928)\n", + " POINT (2.2573 41.92928)\n", " \n", " \n", " 130\n", - " POINT (0.55350 40.57990)\n", + " POINT (0.5535 40.5799)\n", " \n", " \n", " 131\n", @@ -1944,7 +1944,7 @@ " \n", " \n", " 133\n", - " POINT (1.45945 42.35836)\n", + " POINT (1.45946 42.35836)\n", " \n", " \n", "\n", @@ -1955,16 +1955,16 @@ " geometry\n", "FID \n", "0 POINT (2.08614 41.37932)\n", - "1 POINT (1.83853 41.72770)\n", - "2 POINT (2.01460 41.56782)\n", + "1 POINT (1.83853 41.7277)\n", + "2 POINT (2.0146 41.56782)\n", "3 POINT (2.16492 41.38742)\n", "4 POINT (2.11957 41.38491)\n", ".. ...\n", - "129 POINT (2.25730 41.92928)\n", - "130 POINT (0.55350 40.57990)\n", + "129 POINT (2.2573 41.92928)\n", + "130 POINT (0.5535 40.5799)\n", "131 POINT (2.25065 41.77106)\n", "132 POINT (1.85656 41.23907)\n", - "133 POINT (1.45945 42.35836)\n", + "133 POINT (1.45946 42.35836)\n", "\n", "[134 rows x 1 columns]" ] @@ -2027,14 +2027,14 @@ " \n", " \n", " 1\n", - " POINT (1.83853 41.72770)\n", + " POINT (1.83853 41.7277)\n", " ES0392A\n", " urban-suburban\n", " NaN\n", " \n", " \n", " 2\n", - " POINT (2.01460 41.56782)\n", + " POINT (2.0146 41.56782)\n", " ES0395A\n", " urban-centre\n", " NaN\n", @@ -2062,14 +2062,14 @@ " \n", " \n", " 129\n", - " POINT (2.25730 41.92928)\n", + " POINT (2.2573 41.92928)\n", " ES2087A\n", " NaN\n", " NaN\n", " \n", " \n", " 130\n", - " POINT (0.55350 40.57990)\n", + " POINT (0.5535 40.5799)\n", " ES2091A\n", " NaN\n", " NaN\n", @@ -2090,7 +2090,7 @@ " \n", " \n", " 133\n", - " POINT (1.45945 42.35836)\n", + " POINT (1.45946 42.35836)\n", " ES9994A\n", " NaN\n", " NaN\n", @@ -2104,16 +2104,16 @@ " geometry station_code area_classification pm10\n", "FID \n", "0 POINT (2.08614 41.37932) ES0266A urban-centre NaN\n", - "1 POINT (1.83853 41.72770) ES0392A urban-suburban NaN\n", - "2 POINT (2.01460 41.56782) ES0395A urban-centre NaN\n", + "1 POINT (1.83853 41.7277) ES0392A urban-suburban NaN\n", + "2 POINT (2.0146 41.56782) ES0395A urban-centre NaN\n", "3 POINT (2.16492 41.38742) ES0559A urban-centre 20.2\n", "4 POINT (2.11957 41.38491) ES0567A urban-centre 16.5\n", ".. ... ... ... ...\n", - "129 POINT (2.25730 41.92928) ES2087A NaN NaN\n", - "130 POINT (0.55350 40.57990) ES2091A NaN NaN\n", + "129 POINT (2.2573 41.92928) ES2087A NaN NaN\n", + "130 POINT (0.5535 40.5799) ES2091A NaN NaN\n", "131 POINT (2.25065 41.77106) ES2088A NaN NaN\n", "132 POINT (1.85656 41.23907) ES1908A NaN NaN\n", - "133 POINT (1.45945 42.35836) ES9994A NaN NaN\n", + "133 POINT (1.45946 42.35836) ES9994A NaN NaN\n", "\n", "[134 rows x 4 columns]" ] @@ -2144,14 +2144,12 @@ "outputs": [ { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -2159,7 +2157,7 @@ "fig, ax = plt.subplots(1, figsize=(19, 7))\n", "ax.set_xlim([0, 4])\n", "ax.set_ylim([40, 43])\n", - "countries = gpd.read_file('/esarchive/shapefiles/gadm_country_mask/gadm_country_ISO3166.shp')\n", + "countries = gpd.read_file('/gpfs/projects/bsc32/models/NES_tutorial_data/gadm_country_mask/gadm_country_ISO3166.shp')\n", "countries.plot(ax=ax, facecolor=\"none\", edgecolor='black', linewidth=0.3)\n", "nessy.shapefile.plot(ax=ax, column='pm10', cmap='jet', edgecolor='black', linewidth=0.5, legend=True,\n", " legend_kwds={'label': 'PM10 (µg/m3)'})\n", @@ -2180,14 +2178,12 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", 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    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -2233,14 +2229,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:357: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:357: UserWarning: WARNING!!! Different data types for variable station_code. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:357: UserWarning: WARNING!!! Different data types for variable area_classification. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:357: UserWarning: WARNING!!! Different data types for variable pm10. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n" + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_code. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable area_classification. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable pm10. Input dtype=. Data dtype=object.\n", + " warn(msg)\n" ] }, { @@ -2280,7 +2276,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -2294,7 +2290,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" }, "vscode": { "interpreter": { diff --git a/tutorials/2.Creation/2.4.Create_Points_Port_Barcelona.ipynb b/tutorials/2.Creation/2.4.Create_Points_Port_Barcelona.ipynb index f52bc62a3c8fa4ba8f0bd91b5070b40a9c56fb82..428a3c758587d7113830741de53137ca81348c75 100644 --- a/tutorials/2.Creation/2.4.Create_Points_Port_Barcelona.ipynb +++ b/tutorials/2.Creation/2.4.Create_Points_Port_Barcelona.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import pandas as pd\n", "import numpy as np\n", "from datetime import datetime, timedelta\n", @@ -87,27 +87,27 @@ " \n", " \n", " \n", - " 2017-01-01 00:00:00.000000\n", + " 2017-01-01 00:00:00\n", " 64.64\n", " 49.08\n", " \n", " \n", - " 2017-01-01 01:00:00.000003\n", + " 2017-01-01 01:00:00\n", " 68.16\n", " 53.00\n", " \n", " \n", - " 2017-01-01 01:59:59.999997\n", + " 2017-01-01 02:00:00\n", " 68.29\n", " 46.75\n", " \n", " \n", - " 2017-01-01 03:00:00.000000\n", + " 2017-01-01 03:00:00\n", " 62.91\n", " 39.65\n", " \n", " \n", - " 2017-01-01 04:00:00.000003\n", + " 2017-01-01 04:00:00\n", " 47.13\n", " 28.86\n", " \n", @@ -117,27 +117,27 @@ " ...\n", " \n", " \n", - " 2021-12-31 13:00:00.000003\n", + " 2021-12-31 13:00:00\n", " 35.38\n", " 24.96\n", " \n", " \n", - " 2021-12-31 13:59:59.999997\n", + " 2021-12-31 14:00:00\n", " 35.80\n", " 24.16\n", " \n", " \n", - " 2021-12-31 15:00:00.000000\n", + " 2021-12-31 15:00:00\n", " 29.10\n", " 25.79\n", " \n", " \n", - " 2021-12-31 16:00:00.000003\n", + " 2021-12-31 16:00:00\n", " 9.24\n", " 29.82\n", " \n", " \n", - " 2021-12-31 16:59:59.999997\n", + " 2021-12-31 17:00:00\n", " 12.76\n", " 28.66\n", " \n", @@ -147,19 +147,19 @@ "" ], "text/plain": [ - " NO2-UM NO2-ZAL Prat\n", - "Horario: UTC \n", - "2017-01-01 00:00:00.000000 64.64 49.08\n", - "2017-01-01 01:00:00.000003 68.16 53.00\n", - "2017-01-01 01:59:59.999997 68.29 46.75\n", - "2017-01-01 03:00:00.000000 62.91 39.65\n", - "2017-01-01 04:00:00.000003 47.13 28.86\n", - "... ... ...\n", - "2021-12-31 13:00:00.000003 35.38 24.96\n", - "2021-12-31 13:59:59.999997 35.80 24.16\n", - "2021-12-31 15:00:00.000000 29.10 25.79\n", - "2021-12-31 16:00:00.000003 9.24 29.82\n", - "2021-12-31 16:59:59.999997 12.76 28.66\n", + " NO2-UM NO2-ZAL Prat\n", + "Horario: UTC \n", + "2017-01-01 00:00:00 64.64 49.08\n", + "2017-01-01 01:00:00 68.16 53.00\n", + "2017-01-01 02:00:00 68.29 46.75\n", + "2017-01-01 03:00:00 62.91 39.65\n", + "2017-01-01 04:00:00 47.13 28.86\n", + "... ... ...\n", + "2021-12-31 13:00:00 35.38 24.96\n", + "2021-12-31 14:00:00 35.80 24.16\n", + "2021-12-31 15:00:00 29.10 25.79\n", + "2021-12-31 16:00:00 9.24 29.82\n", + "2021-12-31 17:00:00 12.76 28.66\n", "\n", "[43818 rows x 2 columns]" ] @@ -404,7 +404,7 @@ "metadata": {}, "outputs": [], "source": [ - "nessy = create_nes(comm=None, info=False, projection=None, parallel_method='X',\n", + "nessy = nes.create_nes(comm=None, info=False, projection=None, parallel_method='X',\n", " lat=lat, lon=lon, times=times)" ] }, @@ -450,20 +450,26 @@ "execution_count": 10, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Rank 000: Creating points_port_barcelona_no2.nc\n", + "Rank 000: NetCDF ready to write\n" + ] + }, { "name": "stderr", "output_type": "stream", "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=float64.\n", - " warnings.warn(msg)\n" + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=float64.\n", + " warn(msg)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Rank 000: Creating points_port_barcelona_no2.nc\n", - "Rank 000: NetCDF ready to write\n", "Rank 000: Dimensions done\n", "Rank 000: Writing station_name var (1/2)\n", "Rank 000: Var station_name created (1/2)\n", @@ -658,8 +664,10 @@ "name": "stderr", "output_type": "stream", "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. 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Data dtype=object.\n", + " warn(msg)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Done sconcno2_202109.nc\n", - "Done sconcno2_202110.nc\n", + "Done sconcno2_202110.nc\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", + " warn(msg)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Done sconcno2_202111.nc\n", "Done sconcno2_202112.nc\n" ] @@ -754,8 +1323,8 @@ " }\n", " \n", " # Create object\n", - " nessy = create_nes(comm=None, info=False, projection=None, parallel_method='X',\n", - " lat=lat, lon=lon, times=times)\n", + " nessy = nes.create_nes(comm=None, info=False, projection=None, parallel_method='X',\n", + " lat=lat, lon=lon, times=times)\n", " \n", " # Assign metadata\n", " nessy.variables = variables\n", @@ -779,7 +1348,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -793,7 +1362,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" }, "vscode": { "interpreter": { diff --git a/tutorials/2.Creation/2.5.Create_Points_CSIC.ipynb b/tutorials/2.Creation/2.5.Create_Points_CSIC.ipynb index 3a456e22a60e7ef8a4ab4b34144c3e191a3972f0..cd625ca236453d78bdb09039e3aed835c83c996b 100644 --- a/tutorials/2.Creation/2.5.Create_Points_CSIC.ipynb +++ b/tutorials/2.Creation/2.5.Create_Points_CSIC.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import pandas as pd\n", "import numpy as np\n", "from datetime import datetime, timedelta\n", @@ -258,7 +258,7 @@ "metadata": {}, "outputs": [], "source": [ - "nessy = create_nes(comm=None, info=False, projection=None, parallel_method='X',\n", + "nessy = nes.create_nes(comm=None, info=False, projection=None, parallel_method='X',\n", " lat=lat, lon=lon, times=times)" ] }, @@ -308,8 +308,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n" + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", + " warn(msg)\n" ] }, { @@ -523,25 +523,143 @@ "name": "stderr", "output_type": "stream", "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/points_nes.py:361: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n" + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", + " warn(msg)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Done sconcnh3_201901.nc\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", + " warn(msg)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Done sconcnh3_201902.nc\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", + " warn(msg)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Done sconcnh3_201903.nc\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", + " warn(msg)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Done sconcnh3_201901.nc\n", - "Done sconcnh3_201902.nc\n", - "Done sconcnh3_201903.nc\n", "Done sconcnh3_201904.nc\n", - "Done sconcnh3_201905.nc\n", - "Done sconcnh3_201906.nc\n", + "Done sconcnh3_201905.nc\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! 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Data dtype=object.\n", + " warn(msg)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Done sconcnh3_201907.nc\n", - "Done sconcnh3_201908.nc\n", - "Done sconcnh3_201909.nc\n", + "Done sconcnh3_201908.nc\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", + " warn(msg)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Done sconcnh3_201909.nc\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", + " warn(msg)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Done sconcnh3_201910.nc\n", - "Done sconcnh3_201911.nc\n", + "Done sconcnh3_201911.nc\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/points_nes.py:368: UserWarning: WARNING!!! Different data types for variable station_name. Input dtype=. Data dtype=object.\n", + " warn(msg)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Done sconcnh3_201912.nc\n" ] } @@ -571,8 +689,8 @@ " }\n", " \n", " # Create object\n", - " points_grid = create_nes(comm=None, info=False, projection=None, parallel_method='X',\n", - " lat=lat, lon=lon, times=times)\n", + " points_grid = nes.create_nes(comm=None, info=False, projection=None, parallel_method='X',\n", + " lat=lat, lon=lon, times=times)\n", " \n", " # Assign metadata\n", " points_grid.variables = metadata\n", @@ -596,7 +714,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -610,7 +728,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" }, "vscode": { "interpreter": { diff --git a/tutorials/2.Creation/2.6.Create_LCC.ipynb b/tutorials/2.Creation/2.6.Create_LCC.ipynb index c4bbd89a53868ea273c9e9316ec9eb9fd552c6b3..24d9783ea9f27aaf80e6ac5d41de088c54df54c3 100644 --- a/tutorials/2.Creation/2.6.Create_LCC.ipynb +++ b/tutorials/2.Creation/2.6.Create_LCC.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import geopandas as gpd" @@ -69,9 +69,9 @@ "metadata": {}, "outputs": [], "source": [ - "nessy = create_nes(comm=None, info=False, projection=projection,\n", - " lat_1=lat_1, lat_2=lat_2, lon_0=lon_0, lat_0=lat_0, \n", - " nx=nx, ny=ny, inc_x=inc_x, inc_y=inc_y, x_0=x_0, y_0=y_0)" + "nessy = nes.create_nes(comm=None, info=False, projection=projection,\n", + " lat_1=lat_1, lat_2=lat_2, lon_0=lon_0, lat_0=lat_0, \n", + " nx=nx, ny=ny, inc_x=inc_x, inc_y=inc_y, x_0=x_0, y_0=y_0)" ] }, { @@ -108,7 +108,10 @@ { "data": { "text/plain": [ - "Proj('+proj=lcc +lat_0=40 +lon_0=-3 +lat_1=37 +lat_2=43 +x_0=0 +y_0=0 +R=6356752.3142 +units=m +no_defs', preserve_units=True)" + "\n", + "Description: PROJ-based coordinate operation\n", + "Area of Use:\n", + "- undefined" ] }, "execution_count": 6, @@ -216,15 +219,15 @@ " \n", " \n", " 157604\n", - " POLYGON ((6.95490 46.70274, 7.00684 46.69873, ...\n", + " POLYGON ((6.9549 46.70274, 7.00684 46.69873, 7...\n", " \n", " \n", " 157605\n", - " POLYGON ((7.00684 46.69873, 7.05878 46.69470, ...\n", + " POLYGON ((7.00684 46.69873, 7.05878 46.6947, 7...\n", " \n", " \n", " 157606\n", - " POLYGON ((7.05878 46.69470, 7.11071 46.69066, ...\n", + " POLYGON ((7.05878 46.6947, 7.11071 46.69066, 7...\n", " \n", " \n", " 157607\n", @@ -232,7 +235,7 @@ " \n", " \n", " 157608\n", - " POLYGON ((7.16264 46.68659, 7.21456 46.68250, ...\n", + " POLYGON ((7.16264 46.68659, 7.21456 46.6825, 7...\n", " \n", " \n", "\n", @@ -248,11 +251,11 @@ "3 POLYGON ((-11.45719 32.48533, -11.41494 32.488...\n", "4 POLYGON ((-11.41494 32.48871, -11.37268 32.492...\n", "... ...\n", - "157604 POLYGON ((6.95490 46.70274, 7.00684 46.69873, ...\n", - "157605 POLYGON ((7.00684 46.69873, 7.05878 46.69470, ...\n", - "157606 POLYGON ((7.05878 46.69470, 7.11071 46.69066, ...\n", + "157604 POLYGON ((6.9549 46.70274, 7.00684 46.69873, 7...\n", + "157605 POLYGON ((7.00684 46.69873, 7.05878 46.6947, 7...\n", + "157606 POLYGON ((7.05878 46.6947, 7.11071 46.69066, 7...\n", "157607 POLYGON ((7.11071 46.69066, 7.16264 46.68659, ...\n", - "157608 POLYGON ((7.16264 46.68659, 7.21456 46.68250, ...\n", + "157608 POLYGON ((7.16264 46.68659, 7.21456 46.6825, 7...\n", "\n", "[157609 rows x 1 columns]" ] @@ -273,21 +276,19 @@ "outputs": [ { "data": { - "image/png": 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09BTzyNq1a2NqakphYSFXrlxh8+bNtG3b9rHjLSwsMDIywtbWllGjRlG3bl28vLwwNTXl3Llz1KlT54mmldnZ2Rw/fpyUlBRycnKIi4vD3d2d/v37P1HOmJgYRRn+O1y7do0rV64QExPDL7/8wp07dzh37txj5Zo2bYqVlRVvvfUW3t7e+Pr6YmlpydChQ9myZQtubm7k5eWRlpaGgYEB+vr61K5dm4iICCpUqEBiYiLh4eF07tyZ6Ohozp07R/PmzSlfvjwajQYrKyt8fHw4cOAAvXv3plmzZujp6VFUVISBwX8vftO7777LoUOH0Gq1wEMFx9DQkMTERC5fvoyRkZGyouzq6sqRI0fYvHkzmZmZWFhYALyWz5eKyp/hZZi6DQemA3nAIRH5UKPRZIiIzW/KpIvIYyGaNBrNAGAAgKur61t37z41Ap2KyivnSYrQiRMnGD58uBKZKz09nStXrlBUVIRWq8Xc3ByAzz//nAcPHnD06FGuX79eYubvUeSwJ+VvAUhNTWXZsmXY2dlx7do1FixYQMeOHdm2bRuVKlWibt26rFixQvlgpaSkcPjwYebNm8eFCxcA+P7773FycqJs2bJkZ2fj7+//TOdcv359zp49q/zu1asX/fr1K+HP4erqypkzZ56owGRlZXHo0CHFTCs1NZXLly+zZs0a4GEoaEdHx2eSReWvU1xcjEajQU9Pj9zcXKKjo6lSpYqyv3Tp0ooylJCQgL+/P2PGjMHa2vpv+zI9L1604tO0aVOuXr2KVqslOzubRo0a0axZM2JjY0lISMDGxgZXV1fee+89OnbsSF5eHsnJyXz55ZeEhoayd+9eZcBpYmLCnDlzSEhIIDExkfj4eA4cOICtrS01a9akV69eFBQU0KVLF0xNTRUZbt++TUpKCuvXr2fhwoUUFRXRt29fli5d+sSACdHR0fz4449UqVIFGxsbLC0tcXBwwNLS8omTKmlpaS8kz1NRUREpKSkcPHiQuLg4/P392bBhA+Hh4YoiaG5uTnFxMceOHSMyMhITExOSkpJwcnLCwcGhRF6qTZs2ERcXh1arpVWrVqSkpBASEsI333yDi4sLDg4O1K1bl+nTp78W92dwcDAVKlSgTJkyr0wejUaDvb09KSkpGBkZ4evry40bNyhbtiyRkZEYGhrSuXNn6tati76+PjVr1sTR0RF9fX1l8iolJYXt27dz//59Zs6cyccff/xKzkVF5e/wold8bIHtQGcgA9gG/AAseBbF57eoKz4qrwOFhYU0aNAAf39/qlevjrGxMXl5eejp6dGoUaPfNVWJi4vDzs4OExMTFi5cyHvvvUfZsmUpKCjAx8eH27dvlyiv0WieaF5QpkwZtm3b9piz+N27d3mU5Lddu3ZcvnyZe/fuYWNjQ+PGjXFzc2P48OFUqFBBOebBgwc0b95ciRA3ZMgQKlWqROvWrYGHA63AwEBltvaRQvX2229z+/Zt4uPjmTBhAjNmzKBWrVoYGRnx1VdfkZqaSsOGDbG3t3+mD/2jgfeWLVvYt28fxsbGjB8/Hk9Pzz88VuXvkZmZiY2NDWXKlMHHx4fCwkI8PDxo1KgRiYmJLFq0iF69ejF48GASEhJ44403HnMc/y/wpPu4SZMmHDt2DIC5c+fSqVMnZfVxxIgRzJs3TznWyMiIOnXqcOrUKY4dO0arVq1wdXXl1q1b6Onp8emnnxIREUGNGjXQarV07tyZ1NRU7ty5o4SjX7lyJR999BG1a9emdOkn5t9TeQ2ZPn06586dIzExEWdnZ3bu3PnSZUhMTOT06dPs2bMHGxsb9u/fX+Kbk5aW9kwpAk6cOIGfnx8DBgxgyZIlpKSk8OWXXxIcHEyPHj2YO3cu27ZtU3KCqai8brxoxacj0FJE+v7f7x5AXcAf1dRN5TUhLi6OX375hSZNmvzhi/rSpUssXLiQ3bt3IyKkpqYyZMgQunfvTt26dQkMDKRp06bMmjWL999/H19fX5o3b67Mol65coX4+HgMDAywt7enatWqig+ETqcjOzubHTt2MHr0aFJTUxk5ciRmZmZotVpsbW2xs7PD0dERDw+PEjPycXFxuLi4cP36dXx8fKhRowZhYWGKw7mHhwf79+9XylesWJFSpUqhr69PSEgIRUVFjw3sfvjhB8aMGUN0dPQT+6JmzZpcvHiRvn37smzZsqcqOFqtlvj4eO7evcvWrVtZuHAh69evZ9myZRQXF/PgwQM8PDzQaDT07t2bgICAP7xmKi+OrVu3smbNGmrUqIGlpSXjxo3DxsaGmJgYKlasiFarJTU19VWL+VLJzc2lU6dO6OnpKQlka9asqayYarVajIyMyMzM5KeffmLx4sWcOnWKRYsWKaaoABkZGUr0sUe+dh4eHrzxxhtMnDgRT09PCgsLSU5OJi0tDUNDQ7y8vEo8Wzdu3ODnn39m0KBBaLVaAgICiI+PJz8/n5o1azJ37ly++uorli5d+nI7SeUfQUFBAYMGDWLSpEm4u7sDEBUVRYsWLRgzZgyrV6+mZ8+e3Lt3j9TUVA4fPkyPHj1wdHSkYsWKbNy4kZUrV5Kfn4+JiQlVqlRh1apVmJiY4Ovrq7Rjb2+Pg4MDERER9O7dm8WLF7+qU1ZRKcHvKT6K6cBf/QPqADd4GMVNA6wBhgJzgPH/V2Y8MPuP6nrrrbdEReXvUrt2bbGzsxNAqlSpIoC89dZb0qhRI/Hx8RFAZs6c+Yf1uLi4iK+vr/AwWqGMGDFCJk2aJHfu3JGYmBjJycmR27dvS3x8vABSo0YNERGZPXu2AJKcnCwhISHyww8/SJs2bWTu3Lmydu1amTFjhqSmpkp8fLzUqVNHbGxsBBAzMzOpUqWK1KpVS/r06SMzZ84UQJYvXy67du1S5Hh0DmXLlpXbt2/L2rVrJTs7WwC5c+eO6HQ6uXXrlowePVoA2bx58x+ea05OjvJ/9+7dpUGDBtKhQwcpU6aMADJu3DgpLCwUEZHbt28LIKtXr5bvv/9edu7cKUOHDpU9e/ZIZGSkJCcnK2VVXj1paWlSs2ZNsbW1FQMDAzE0NBRASpUqJQ8ePJCIiAhxc3MTa2trsbS0lAEDBrxqkV8JOp1OpkyZIoBYW1tLnTp1lGeufv36Mm3aNOU3IF27dlX+NzIykuzsbKWuR9v79OkjzZs3Fy8vL7G0tJTBgwcLILm5uVJcXPxUWeLi4iQwMFB27twpIvK7ZVVU/i6ZmZkSFxcnZ8+elbi4OMnMzFS+awcPHhSdTiciD+/DqKgo5bjs7Gy5dOmScl+LiOTl5cmGDRvUe1bllQJclKfoGs/Lx2cqD03dioDLPAxtbQFsBVyBe0BHEUn7vXrUFR+Vv4K/vz9ZWVnAw7w0QUFBaDQa3nnnHSIjIxUTr4iICCwtLXF0dGTFihWK783TKCwsZP/+/URFRdG4cWMGDBiAnZ0dDRo0YPHixXh4eHD69Gl27dqFi4sLixcvZv369eTm5vL9998zZMgQABo3bszIkSN58OABY8aMwdnZmYoVK7Jp0yY0Gg06nY7Y2FiWLVuGl5cXJiYm3Lx5k/3791OrVi1u3rxJ6dKlcXNzo1atWsyePZvQ0FB69OjBihUrKFWqFGlp///ROnLkCP7+/hw6dIgWLVqQnJz8zCYz/5uB/ttvv2Xw4MElnIS7dOnCli1baNasGa1bt6ZChQq88847nDp1ilq1aj2TKYXKy+FR2HKA9u3bY21tzerVqwEoV64cycnJeHh4cOvWLYqKiti3bx+tWrUiLCyMSpUqvRa+E6+C27dvs2nTJiZOnMjcuXO5ceOG0m/Lly/nu+++w87Oji+//JKdO3fSpEkT2rRpQ2FhobKirNPp0Gg05Ofn89577xEbG4uhoSFvvvkmHTt2ZPHixZiamuLq6sqHH35I7dq1X+EZq/xbuXPnDhUqVPhTEdt69uzJ2rVrmT9/PnZ2duTl5VFcXKykJNi+fTtjx47F0NCQcuXKERcXR/v27dHT02P06NEsW7aMBw8e4OzszN27d9WojyovHTWBqco/Fp1OR3x8PA8ePCA/P5+srCz8/Pxo0qQJ5cuXZ/LkyRgbG3Ps2DG0Wi2XLl1iwYIF9OrVi6FDh1K6dGnu3r3L/PnzuXLlCrGxscTHx2Ntbf3E9pKTk3F0dKRBgwbY2tqyevVq7OzslP0hISGMGjWK1q1bM3HiRLp27Uq3bt1ITEzEzc0Nb2/vEklIjx49yoEDB9i8eTOOjo7cvHkTOzs7ZVAUGxtLUFAQAwYMID8/HwsLC9zd3WnUqBGenp5kZGQwffp0LCwslEFst27dmDBhAnp6ely4cIGgoCBCQ0OVNv38/Dhz5gzGxsacPXuW8PBwPvjgA6ZPn86oUaNKBFC4evUq+vr6+Pj4ADBr1iw0Gg1jxox56jXJzc3lxx9/JDg4GE9PT9auXUtOTo5iS+7t7U10dDReXl60aNECKysrZs6cSUZGBqampuTm5v61m0HlT7NkyRLMzMwIDAzk2rVrVK1aVdlXsWJF5ZqVKVOGMmXKEBoayowZM9i0aRNnz55Vojz918nPz8fU1BQ3N7fHzEKnTp1K2bJlGTp0KA0aNODnn39+bJA5aNAgli9fzowZM8jPz2fSpElMnDgROzs7tm/fztq1axWTJJX/DhkZGQwbNoyVK1c+twh0Wq2WHj16sHnz5r9ch4iUmPQYN24cjo6OBAQEKImknZyc2Lx5Mw4ODmzZsoXFixezZcsWxo4dy5UrV+jevTumpqYlvp8qKi8LVfFR+cdw8+ZNDAwMmDJlCubm5ly6dAl/f388PDxISkriypUr/Pjjj0r5ESNGMHfuXLRaLYWFhRgbG2NoaMj9+/dZtWoVBgYGvPPOO1hYWODi4vJMH5f79+9TsWJFAgMDWbBgAR9++CHdu3enZcuWf+pc0tLSGDx4MN7e3iQkJABw5swZ5syZw+nTp7G3tycgIEAJNfzoWRw5ciS3bt1SlJ1PP/2UGzduMH/+fAYMGMBXX33FnTt3KFWqFKmpqWRmZhIREUFERATR0dHUq1ePoqIiJSnnkCFD2LRpE2ZmZvj6+pbIJfSITz/9lOnTpz/Teel0Ok6fPs2XX36Ji4sLW7duJScnhw4dOuDg4ED16tUZMGCAUr58+fJkZGQo4X1fp3fOv52kpCS++OILbt26xeHDh5k+fToTJ06kZcuWHDhwAIAPP/wQFxcXgoOD6dmzJ0ePHmXjxo3odDq0Wu1/MsjBkwgPD6devXpUqlSJ/Px8rly5AjwMfnDlyhWMjY2V5/x/KSwsJDs7G51OR2pqKkOHDsXZ2ZmpU6c+l9DSKn+eRz6JDx48wMDAgMqVK1O2bNmXLsf/KhnPiqOjI56envzyyy+MHz9eyaH0R9y7d0/55jRq1IiTJ08+tWxERASenp4MGDAALy8vbty4wbBhw6hWrRoAeXl5VK5cmSpVqhASEkJaWhru7u6ICDY2Nly5coVNmza90MTPKipP4oX6+DzPP9XH579FUVGRiDy0rU9NTZV33nlHvL29pXr16hIcHCwiIgkJCdKuXTvFZj4jI0Pmz58v77zzjgASGRkp8+bNU/xi+vXrJwUFBU9s78GDB/L1118LIJ9++qkAkpaW9lT5dDqdeHt7S6NGjWTs2LGyb98+ZfusWbPE3d1dAHFycpIqVaqIsbGxImflypVl9+7dUr16dWWbp6enZGdnS1pamnz33Xcyb9488fHxEUdHR9m8ebOsWbNGpk2bJu+88440bdpUSpUqpRw7fPhwAaS4uFgaNWok9+/fl6ioKFm3bp2IPPQJmDFjhkyfPl26du0qH330kfTq1Us5/lH9eXl5yvmdO3dOAgICxNHRUQC5fv36H16z+/fvy9KlSyU1NVXZdu3aNTEwMJDu3buLjY2NTJgwQQIDA6Vz585Sr169P6xT5flTVFQkV69elZs3b8qtW7ekbNmysnXrVrGzsxMTExPlvvDy8pLmzZtL69atBRB7e3vZv3//qxb/tSc3N1f69OkjgNKfz+LToNPpnlru8OHD4uvrq/pGvACKi4vl1q1bsm3bNjExMZE+ffrI559/Lrdv35bc3FyJiIgQQPbu3fuqRX1mHn0/n4VTp05JzZo1pVmzZmJpaak8/58+OagAACAASURBVMOGDZPFixcLoPj2RUREyN27dyUpKUnu3r0r27dvF0C+/PJL0Wq1ir/P/5KTkyMJCQly9+5dpf5x48aJu7u79OvXT1atWiVfffWVTJ48WVavXi3Dhw+X+vXry5tvvileXl7SoUMHSUpKEq1W+1z659/A0/r6t6Snp4unp6c4OztLdHT0S5DqnwG/4+PzypWd3/49UnxUx+j/BqmpqcoL0s/PT1atWiXVqlWTkSNHSlZWVgkH4lOnTomNjY1MmTJF5s2bJ4sWLRJnZ2cxNjYWZ2dnmTJlilSpUkXWrVsnW7ZskREjRsgXX3whCQkJSnu9evWSsmXLirW1tfzyyy/SvXt3AeT8+fMiIhIeHi7Hjx+Xu3fvKi8cb29vsbOzE3d3dzE1NVUGh4/k/u3fwIED5e233xatVisZGRkCyLlz50REJD4+Xr777jsxNjaWqlWryvLly2XJkiWir68vn3zyiXz77bciIrJ06dLH6rW1tZXAwEBp1KiR4mD9wQcfSK1ataRVq1ayYMECCQoKEicnJ6lfv74MGTJEVqxYIcOHD5etW7fK7Nmz5fz580qghoULF8ry5culZcuW0rx5c/nhhx+eyzO3f/9+WbBggQwZMkQ++OADadiwoRw/flyOHz+unEuTJk0eOz8DAwOpVKmS4lBerlw5AcTb21tmzpwpmzdvVgeDz0hsbOxj/VuuXDnJyckpse1RQA1AKlasKOnp6TJ9+nTFQVnl2YmIiHgu9Vy4cEH99j0jubm5cvLkSenUqZO0adNGLCwsZOzYsbJ69WoJDAyUFi1ayPz582X16tXStGlT8fLykhkzZkh0dLRcv35dbt++LSEhIbJ582ZZtWqVvPvuu7Jv375nGmg+T3Q6neTn5z91su6vkJGRIUeOHJH09HTZvXu31KtXT2rUqCHdunUToITi8+hv7dq1UqZMGZk3b16JiZH9+/fLpUuXZPz48QKIubm5AKKvry82NjbSsmXLx9ovKiqSkJAQuXz5sty9e/cPzy0uLk6cnJyUNqtWrfrc+uJ1ISkpSb7++mvp0aOH9OnTR65evarca61atVKCGP02yJDIn1Nuf4+4uDiZO3fuc6nrn8LvKT6qqZvKK0Or1SpZpk+dOsWsWbM4fPgwtra2dO/enRs3bgDg7u5OWFgYx44dY/fu3cybN4/Q0FDFdAoeZi//bbACEaFDhw7s3LkTe3t7jhw5gp6eHp9//jm7du3CysqKb775huLiYgYPHkxAQAC7du0iPDycu3fv0qJFC+UhmTt3LqNHj0ZfXx+dTlfCVKtjx45cunSJqKgo6tWrx5kzZwBISEigbNmy7Nixg1WrVmFsbMybb76Jk5MT+/btIywsjLNnz2JnZ4dGo2H37t20a9eOoqIiXFxcSExMpHnz5hw+fBh4aI5UXFzM6NGjiY2NxdHRkbp161JUVMSJEyc4fvw4sbGxnDp1itatW+Pq6sqYMWOoVasWQ4YMITc3l6FDh7Ju3Try8vIwNTWla9eu+Pj4cO3atRdyfbOyskhNTSUjI4MbN26wcuVKlixZQmZmJtevXycgIABra2vy8/OxtLQEHoZhLSgoQERITk4mPT2dDRs2EBQUhLOzMwEBAZw4cYKwsLAXIvO/iaKiIoYNG0azZs0oLCzk/v37jBw5krfeeou3334bKysrDh48qCQEPX78ON9++y0jRox41aKrqDxGYmIi77//Pg4ODpw7d46ePXsSGRnJG2+8QcOGDWnVqpVSNiMjg5iYGIKCgvD390dPT08JPHHnzh28vb2pWrUqTk5OLywZ7h9x5coVBg8eTIUKFYiNjeWLL76gUaNGf3jcli1b6Ny5M4CSiPj+/ftERkYSGxvLjRs3cHV1JSUlRQnI4e7uzvr166lVqxYGBgZ07tyZ8PBw4uLicHd3p0mTJjRp0kT57j1KfHvv3r2XYoq5ceNGPvzwQ+V369at+emnn/5yfcXFxa8soMLcuXOZNm0aBw4cwNPTkzJlyuDm5sYPP/yAtbU1ZcqUYd++fUyZMoXr168DMHPmTCIjI1m2bBk+Pj5UrFiRbt26kZycjLm5OWXKlKFevXpYWlry66+/4ubm9tRk50/jVfbJq0A1dVP5R6LVauXatWuycuVKiYmJkTVr1kipUqXEz89PABkyZIh8/fXXcvPmTfnwww+VGaNHZmx2dnYydepUMTQ0FBsbGzlw4IDs2LFDtm/fLs2aNZMbN26IiJQwd8vPzxdA5s6dK6tXrxYjIyNp3bq11KtXT3Q6nSxZskTOnz8vJ06ckGnTpkmHDh2UdkNDQyU/P19ERNnm4eEhenp6yu/jx49LTk6O3Lt3TwYOHCitW7eWoqIi+fjjj6V27dqSnp7+WD/s379f3NzcpEmTJtKoUSOxtbWV4OBgAaRevXoCyPfffy/FxcUlQuo+qT+1Wq14eXkJIK1bt37OV+zFM2HCBOEZw5GrPE5CQoKsW7dOuR87dOggEydOlMaNG8v3338v33//vQAya9as57aSoaLyZ3i0QrB9+3Y5efKklC9fXpYtWyaA7Nq167FVmevXr8u0adOkZ8+e0rx5c1m1apUsX75crl+//rvvw1dNs2bNBJDJkyf/brlff/1VCgoK5MSJE3LhwgXZtGmTtGjRQrGU+OCDD2T+/PmSlJQkqampf3v1KD8/Xz777LO/VcdfISUlRbZt2yaAxMTE/O36ntdqyZ9l4cKF0rZtW0lNTZU5c+YIoIwL/pfc3FxJSUkRkYf38aP38vXr1yUnJ0d0Op2y7cyZM3Lu3DklTD4gn3zyiQDi7+8vK1askBUrVkhQUJDs379frl69KiKvrh9eNagrPir/FrRaLYmJiURGRvL+++/TtWtXXF1diYyM5PDhw1SpUoVTp07Ru3dvdDodtra25OfnExAQwLp163jrrbdYunQp/fv35/r164SEhBATE8OMGTPYu3cvfn5+ODg40K1bN+7cucP58+cpLCzE0tKStm3bPuaEqtPpWL16NXp6egQFBVGmTBm6du1KfHw8enp6DBkyhBMnTtClSxfef/999u/fz8SJE2nTpg3wcCZOp9MBoKenx8iRI/n111+5ePEiERERWFhYlIjGVVxcrMxQFhQUoKenR2ZmJqmpqVhaWlK2bFlWr17NzJkzmTRpEl27dn1M5ke/3377bY4fP/4iL9dzJysri0uXLvHhhx8SHx+Pn58f69atw8XF5VWL9o9h06ZNfP7550qo94KCAo4dO0ZSUhKnT5/G3d2dZcuW8f333ysBMlRUXiaPougBrFixgj59+pTYv3TpUlatWkVISAgAe/fuVd6pryNZWVmYmpo+Flxn8+bNtGnTRlnxhoeRRS0tLZk4cSLbtm0jJiamxDFDhw5lxIgRVKhQ4aXI/qIQEe7cuUNoaCjHjh3Dz8+Pc+fO8eWXX/6rAqqEhISwZs0aqlSpQtmyZfHy8qJp06a4u7szfPhwzMzMKCws5OTJk6xbtw4PDw/i4uKoWrUqLVu2pHnz5iUSmaekpBASEkJhYSFpaWno6+tjamqKiYkJV65cwcPDg969e3PixAnq16//cKD/H0xLoEZ1U3lt0Gg0jB8/ntq1a5OamoqJiQmGhoYYGhqSl5dHUlISDg4OmJubY2VlhYODA3l5edy+fRsbGxucnZ3x9fV9zDwhISGBtWvX8sYbb6Cvr4+IEBMTg42NDdnZ2VSrVo233npLWcJ/UYSFhbFlyxYmTZqEs7MzM2fOpGfPnuh0OiZNmkR+fj69e/cmIyMDQ0NDNBoNlStXxtzcHI1GQ2RkJCEhIVSvXp2TJ0+SmpqKk5MTXl5enDp1ChcXF9LS0tDT02PEiBEEBARQtmxZfv75Z3x9fQkMDKS4uBiNRoONjQ0bN26kRYsW5ObmYmhoSGRkJKVLl6Z///5oNJrHXoo6ne6VmX78GSIjIxk9enSJCH+v07vsdeWrr77C2tqagQMHKs+Ck5MTrq6u3Lt3jy+//JIOHTo8Ndy7yrPRpk0b+vTpQ4cOHV61KP84Dh48qETQ/OmnnzAzM8PLy4tSpUrx9ddfM3HiRPT19fnyyy/p1KnTP0IBWLFiBTY2Nk+8Hx69c7VaLUZGRqxevZrPP/+cvLw8DAwMSEpKUsoWFBQoeaL+iYwZM4Yff/yRihUr8v7773PhwgWKi4u5desWw4cP54cffsDMzIwVK1aUOG737t3k5eUpJn6vM6GhoVSpUuWJpmjp6encunULb29vCgoKOH/+PEVFRQQEBDyXtv+rSs6TUBUflVfGb+1Ki4uL6du3L8nJyXTv3p1u3bo99bikpCTGjx/P3bt3ad++PX369EFEuHr1KsHBwRgZGVG9enUaN278px/04uJidDrdY0pQYWEhMTEx6HQ6bt26ha+v7++uJERGRjJp0iSio6M5c+YMvXr1YvXq1dSvX5/c3FwsLS3p2LEj/fv3x8TEhOzsbPz9/cnNzWXSpEncvn0bLy8vrKys2L17N/n5+bRq1UoZwM+bN4+BAwcSGBiotCkiREVFcfv2bXJyctDpdOTk5GBkZETlypWpXr26siqUm5tLeno6hYWFGBgYULZsWTZu3IijoyPe3t6ULVtWKVtYWKhcp3+KHXBISAhNmjQhPz8feJg/6JHNtMrDJJzHjh2jYsWK+Pn5sXTpUgYNGgSAp6cnUVFR6OnpsWnTJlq0aFFi1llF5WVy8+ZNzp49y4EDB/Dy8uLatWsEBAQwYMAAQkJCqFevnlL2z4Te/yewfPlykpOTOXr0KO3btyc6Oprq1avj6urK1KlTqVWrFjNmzFDKv05jtmdBRNixYwc5OTncu3ePS5cu0aZNG06fPs2aNWuYPXs2bm5uJCUlsXLlSo4fP46VlZVy/IMHDxARrKys/vKgvl+/flSoUIHt27dz+fJlOnTowNatW1+IkrB8+XIWL17MsGHD6NGjx1PLbd26lYsXLxIaGkqnTp1wdHQkNzcXDw8PatWqpSowfxNV8VF5LRARxo0bx/Lly/npp59KfMz+bD3R0dEsWbKE5cuXs2HDBuLj43Fzc6NJkyZ/qq4xY8Zw8OBBVqxYQe3atWnUqBGff/65kmz0UTCB/+W3s5Lw0FHVwcGB48eP07BhQ8qUKYO1tTV5eXmEh4fj5eWFRqOhX79+ZGVlMXPmTNzc3B6rt7i4mMOHD3P48GE++ugjPD09gYczXjdv3qRChQp4enpSsWJFLC0tSU5OZs+ePYSHh3Pnzh0MDAw4efIknp6eBAYGUr16dfT09Lhz5w7bt29n06ZNLFq0CBMTE4yNjcnMzMTR0RGdTselS5e4fPkyM2fOLJHo8nWmf//+rFixQhkMWFhYkJWV9Yqlenk8cgoePHgw1atXp23btnTt2pXg4GDMzc1xd3cnMjKS9PR03N3dadeuHfPnz2fJkiVYWVnRq1cvcnJyXvVpqPyHERGOHTtGQEAAeXl5AHTr1o24uDjWrVuHq6srNWrUYOTIkSUc4F8kGo2GFi1acOLECbp16/bYCsRvycrKom3bthgbGzNu3LjHvkGFhYXKJNusWbMYP348a9euRU9PDyMjI5KTk3F2dgYeBiQxNzfH3Nycu3fv0qBBA8qXL4+FhQX5+flMmDCBr7766sWd+HMgPDyc6OhoWrVqxerVq0lMTKRcuXKICN27dwegcuXKdOrUicmTJ3Pnzh0SExOVSb0ePXrg7OxM3759KVWqFJ6ensrEoYiQmZmJsbEx9+/fZ9iwYfj6+nL16tXflcnW1paMjAyMjY357LPPmDRp0u+W79u3L4sXL35uSWX/l+TkZIYOHYqIcPjwYTZv3oynpyf29vZERUWxfv16cnNzWbRo0Qtp/7+AqviovBbMmzePkSNHlvBTeRaKiooICQkhODiYGzdukJubi7W1NVWqVMHGxoaqVatSrVo1DAwMuH79OgcOHMDNzY3c3FycnJyoU6cOkZGRTJs2jTfffJMHDx4wcuRI3Nzc0Gg0rFmzhqtXr2Jtbc2BAwcIDQ2loKAAHx8fFi5cSMOGDRVZOnXqRKdOnejYsSOrV68mOTmZsWPHAg9NFjQaDUOHDuXUqVM0bdqUkydPcvv2beLj47G3t2fJkiX06NEDnU5HYWEhmZmZ6OvrY2dnR15eHvPmzUOn0zFx4kSlzaZNm1KqVCk2b95c4kV86tQpNm3aRL169UrMLPn4+BAUFISfn1+JfgwNDaV+/fq4uLjQqFEjVq5cSUpKCjdv3lRWj0xNTenbty937979x8wsjhs3jtmzZ5fY9rrb/D8vZs+ezbhx4x7bbmlpiYmJCXl5eWRnZ2NmZsbHH39MeHg4Y8aM4cKFC4waNeoVSKyi8hCdTkdwcDCNGzdm7dq1ODk54e3tjaOjI8ePH1f8y/bt21ciYtuLZOzYsWzbto3o6GhGjRrFvn37yM3NZdSoUQQGBmJjY6OU7dWrF2FhYaxYsYIqVapw8uRJ1q5dy8KFCxUzJ51Ox5gxY7CwsOD999/H1taW8uXLc+PGDd58882Xck4vi/j4eEWBA1i/fj0WFhaEhYVRoUIF2rZt+4e+O9999x0jRozg119/5bPPPmP+/PmUKVPmiWVFRPGr/fTTT4mKisLCwoKlS5diamqKTqdj5syZXLhwQTnmf8cej6KvXr9+HR8fH8X8+3/beRFotVq0Wi1r166levXq6Ovrk5ycrCSOLl++PLVq1Xohbf8XUBWfl8Aj21t1efLJ7N+/n9atW/8pG+WcnBx8fX3p0KEDKSkp+Pr60rt37yf6H/j5+XHjxg1lIF+5cmWKior4+OOPWbZsWYmyQUFBDBs2DGNjY5ydnSlfvjxHjx5V9sv/hfcdM2bMYwPqb7/9FoDMzEymTJmibP/teRUVFWFgYEBxcTHVq1enqKiI4uJiPvnkEz799FN++eUXwsLCGDhwILm5ucyZMwdTU1Oys7Np3bo19vb2Sr1mZmaULVuW27dvP3ZvTZkyhZo1a7J7926cnJy4du0aNjY2BAQEPNW3wNraGh8fH+Lj46lWrRrOzs6kpaXRqlUrxUwsMTERc3NzGjZsyKJFizh27NgLm/l6HsTGxj4WcvWfGLjh7xAYGMj69etLbPPy8qJx48bUqFGD6OhoZs2aBUCfPn1+dwZbReVlcPHiRWrVqqWkEng0IH30PPv6+nLs2DFKlSr1UuTZvHkzX331FYsXL8bT0xNDQ0PF/yYoKIhKlSrRpUsXZfAsIhw6dIjRo0fzyy+/KAPkuXPnsnv3bpo3b87Jkyfx9/fH0NCQihUrEhAQQL9+/ahYsSK9evVS0hn8U8yLf4/Zs2djYmJCnz59OHr0KAEBAX/aX3TatGksWbKEVatW0bx5878tU05ODvPnz2fChAmK//D/otVqMTc3p6io6Il1/Nkx8h+Fjc7KyuLYsWOcO3eOKlWq8OGHH3Lo0CGys7PR09NTvvOP2k1OTub8+fO4u7tTqlQpdDoddevWxdvbW5ls/bOhrf8LqOGsVV4pZ86cEUC++eabZyo/f/58sbCwkKVLl8qZM2dk8uTJMnjw4D/dbkJCghgYGEjnzp1lzpw5otVqpbCwUEmGqa+vryTL3L17d4lj79+/L8BTs0gvWbJEAgMDxcLCQrp06SJJSUnKPp1OJ3l5ecpvQEaOHCkiIg0bNhRAGjduLJ07d1ZCaj+JR0lQz5w588T9Fy9elIYNG5ZIOAdIVFTUE8v/NpHok/4sLS2lX79+IiJSo0YNZXtgYKDMmDHjtQ4NO2jQIDE2NlZkvnTpkgDSsmVLqVSp0r8uMee3334rBgYGcujQoRLbL126JCNHjpTt27fLqVOnpHv37lK7dm3x9/dX+iYjI+MVSa2i8vC9NXfuXCV57v+i1Wpf+vP6KGzw7yUwPXHihHTr1k1ERLKzs+XAgQOyceNGGTt2rFSrVk0uX74sQUFBYmJiIkZGRlK+fHkxMjKSvXv3yoULF+SHH36QH374Qdq3by8TJkyQQ4cOyaJFi8TFxUVu3rypJq99hdy5c0dOnz4tLVu2lNKlS5f4Lj6NlStXyqxZs0psKyoqeuo9VFhYqNxDf/StfsSiRYukY8eO0rt378e+13v27JEDBw7Ivn37ZMuWLTJ16lTp3r27bN269c93wL8Qfiec9StXdn77V758eZkyZYpMmTJFli9frl7AV4hOpyvxAP+dWPBarVays7PlyJEjsnXrVlm3bp1s2bKlRJkLFy5IfHy8REdHi5OTk5KLYMCAATJz5kypX7++kkk6OjpaTpw4IRMnTpRatWrJrVu3/rJs5cqVE0NDQxkwYMBj+/bt2/dMA8Xs7Gzp3LmzAFJYWCi1a9cWQMaOHSt9+vSRSpUqyfXr1yUwMFAAyczMLPEC27lz5xPrLSgo+MMBwKpVq2Tw4MHSrFkzCQwMlK1btz5VWcvPz1di+4s8fBFHRkbKmjVrBJArV64o+2JiYmTkyJGPvWzt7e3F1dVVevXqJVu3bpUjR4689GznTyI1NVWR8datWxIUFPRUBe955Ih41aSlpSk5nPi/fDwajUb69OlT4jo+YubMmUrZVq1avQKJVVQeMmnSJNmzZ4906dJFWrRoIV999ZXcvXtX2V9YWCiBgYESHBz8wmUpLi5WBqPh4eFPLTd69Gjp3bu35ObmyrRp02TNmjUSFhYmOp1O+vbtK+3atZMRI0bIkCFDJDk5WQ4dOiTbtm2T+Pj4x+rS6XTSs2dP+eKLL2T79u2yZMkSqV69upQuXfqxiQyVV8OUKVMEkKZNm0poaOhj+0eNGiWDBg2SHj16yIULF6S4uFi0Wq3MnTtXgoKC5L333hNAXFxcJCAgQHr06CGVKlWSqlWrio+PjzKx+Cw8UsorVaokQ4YMkdOnTz9WJiQkRCwsLJR3vL+/v5w9e1Y5/r+Uy6eoqOjRZPs/I49PhQoVJCIiAo1Gw/379xkxYgSbNm0iNzdXien/upOenk6HDh0Uc6Vt27bRpEkTjh079qd9W140Op0OEXnisuyjJdRHS/3P24Tv8OHDXL58GVtbWwwNDUlPT6d06dK4u7vj6emJo6NjCVkGDx5McHAwmZmZBAQEYGVlxbp161i4cCFNmzbFwsLiucr3CI1Gw4kTJ2jcuPEflo2IiGDZsmWkp6fTtm1bJURlVFQUHh4ezJ49mzt37rBw4ULlmMuXL1OjRg1Onz5NgwYNHquzV69exMfHY2xsjLW1Nc7OzqSkpFCtWjVcXV0JCQkhNTVVMedLTEws0Xd/l6NHj+Lv70+nTp3YunWrsj05OZmFCxfyww8/cPPmTb799luGDh363Nr9KyQkJPD1119Trlw5nJ2d6dSpE82aNSM0NJS0tDSl3N/NCv668OgaDBw4kLCwMHbv3s13330HwMSJE9mzZw979+5VIhOuX7+e5cuXc+LEiZfqvyUirFu3joMHD7Jhw4aX1u4/hX79+jFgwACCgoJISkriyJEjLFmyhJ49exIREUFQUBCGhoYMGzaMN95441WL+1yIj49nypQpynvL0NCQwsJC5bsDsGzZMvT19Wnbtm0J89/nQVRUFB988AETJkzAx8eHSpUq/W75b775hry8POrVq8eNGzewsLBQcgsdOXKE4OBgdu3aRefOnRk/fjzvv/8+O3bswMrKivPnz+Pg4ICtre1j9aakpBAYGIi/vz+zZs0iMTHxX2H29m8gPz+foUOHsmvXLsLCwrC2tsbAwACNRoObmxt37tyhqKiIy5cvk5CQwNWrV/niiy8oLCwkJyeHbdu2UblyZTp06EBcXBzwMEiRhYUFBQUFXL58mQkTJjxXmX87TqtUqRLx8fFKVLzfUlRURFxcHDk5OURGRgIPI+levXoVd3d3/P39cXZ2fu7P3YvkUb7DBQsWADBkyJB/ho/Pm2++KX369MHDwwN7e3scHBxwd3d/LePWb9++nWXLlnHw4EHat2+vhBw2MjLC39+fvXv30rFjRwBMTU3Jy8ujS5cuODk5UblyZaZNm0ZMTAyffPIJI0aMwNXVlby8PExMTEhPT6egoAAnJ6cXfh7yHOO+5+bmsnz5cjp16vRUh8S/QlFREUuWLOH69esUFBRgZ2dHVFQUNjY2pKWl8e6772JsbIyBgQHR0dFYW1vj4uJClSpV/naOhx07djBq1CiqVq1KVFQUI0eOpFevXsr+Xbt28d5775GRkfHU3CcbNmyge/fudO/enXXr1j22v0WLFoSEhNC7d2/Fh+i3VKtWjezsbPr3709SUhL29vYYGRnh7OyMu7s7derUQaPRsHr16hKy/RGPrvuzKuS5ubncu3ePoqIifHx8MDY2xtTUlIyMDKWMsbExQUFB2NraYmtrS7NmzZ5ZnueBiLB//36OHz+Oh4cHhoaG2NjYsGHDBnbs2KGUq1WrFufPn3+psj1P0tLS/h97Zx5W4/a+8TsiMgun6JgzJFMhZJ4d4qAyJIkMmceDZPoaM0SGcMgRCZWQOZmnIyVD5JiLFKU0t2vvff/+6Oz311aaR2d/rmtf9A5rPe+8nrWedT9QU1ND6dKloaKigu7du+Pt27eoUqUKfHx8IJVKIZVKMXXqVKxcuRJ16tTBgAEDYGJigokTJ+Lw4cOCwlJBM3fuXCgrK2Py5MnQ0tIqlDqLK/x3/qAMWXy+TJJdRpcuXXD79u10+zs6OmLatGno1KkTtLW1sWHDhhItQ56QkAA3NzeMHz8eS5Yswfr167Fr1y7Y2dkhLi5OLoeNr68v9PT08qVeJSUltG7dGnXr1oWnp2e29omKisLSpUvh4OAADw8PhISEZNjZ4+XlhX79+iEwMBDjxo2Dr68v7t27h44dO6bbVja5Xsb27duLvANJwf8jlUrx/PlzXLt2DV5eXqhVqxYMDQ3x+++/F7Vp2SI4OBgGBgbo37+/cJ+FhoaiSZMmqFGjBjp37gxlZWU0aNAAkZGRUFZWxrdv3yAWizF//nwMHToUEokEeH9OzQAAIABJREFUX79+xcKFCzFo0CBcuHABJiYmcHR0xKlTpzKV7C5MgoKC0KZNG2zZsgUVK1bEyJEjS4bjU1zFDa5duyYozKxYsQI1a9bEli1b8O7dOxw8eBDm5uY5LpMkjhw5gsOHDyMwMFDIztynTx9YWlri/fv3CAoKgo+PD/z8/LBnzx5IJBLUrFkTb968QcWKFTF9+nQoKSnBzs4OampqKFWqFAYOHFgoXrqrqysOHTqE1q1bY926dfj8+TNq1qwJdXV1fPnyBV27doWjo6NcQ8fa2hoXL17E5cuXoaamluM6pVIpzpw5Aw8PD7x9+xb16tVD2bJl0bNnT1SqVEkYnXJ1dcXt27fx4cMHKCkpwdjYGMePH8/T8X779g2enp64desW9u/fDwAoV64cmjVrhsjISPTs2RMHDx7McN9Dhw5h9+7d2LVrF3R1dTPcZvv27Zg9ezaA1Pwrjx8/lhMouHfvHl6/fo2QkBCsWbNGkCAePXo0JkyYgKpVq6JKlSpy59vR0RHe3t4YNGgQKleuDA0NDairq6NOnTpCniEZffv2xYoVKzIcdcoIkvj777/RpUsXSKVSREdHIyAgAGfOnMG5c+cEoQR7e3toaGgInQAFzdWrV7F+/XqUL18eGhoaUFVVRZMmTaCtrY3Hjx/DxcUF9+/fR82aNfHly5dCsakgqFq1qqAIKJFIAAAVKlTAkCFDcPToUQCpkrG1a9dGixYtoKysjLi4ODx48AA1a9bEjh07fprRg+JGSEgIhg4dCjU1NXh7e2Pu3LmIiYlBQkICXFxc0vW+LliwAAYGBvjf//4Hf39/nDhxAoaGhqhduzbmz5+PHj16CNL/S5cuhYmJCcLDw7F+/Xp8/PgRa9eu/akSpcqcnU+fPuHatWt48+YNkpOT8eeff+Ljx4+oW7cuNm/ejEqVKqFv375o0KBBjuvYtm0bNm3ahE+fPmV79HPRokXo2LEjhg0bhqNHjyI2NhaTJ0/Ocd3f8+LFCyGJtYGBAS5dupTnMhUoyE9cXFzw/PlzrFmzJt/LTklJwZUrV6CtrQ11dfV8G+hQqLrlgR49eqBhw4ZYtmwZ6tWrJ9dbFx0djYoVK+Z5aPrAgQNwd3fHuXPnMh19keUD+PTpE6ZNm4aOHTuiYcOGePLkCaKjo9G3b1+oqqri+vXruHPnDszMzNCwYUM0bdpU6J2XSdtWqFAhwzpCQ0MRHx+Pe/fu4cCBA/D09ESlSpVw6NAhLF26FKqqqlBVVcWjR4/k9qtUqRI0NTWhoqICBwcHtGnTBmPHjsX69evRpEkTnDt3Tgj96tGjB06fPo27d+8iICAA9evXR1RUlCD12a5dux+eh2HDhsHU1BQjRowoVAW9jRs3wsDAABcuXMDatWvlGpwk5ZRcXr16hSZNmkBDQwPx8fH4+++/MXr0aKioqGDSpEmIiYlB//790aJFCwCpQ+qyUE5lZWXUq1cP+/btQ7NmzTIc9UtMTMTmzZvx5csXWFhYwMzMDC9fvoSBgQEaNGgAX19flClTBpGRkQgKCpLbt169esKyTp06wdjYGDExMfDy8sLdu3eF7by9vdG7d+8cnSOxWAxHR0d06tQJXbt2RZcuXRAZGYnY2FiMHDkSy5Yty1F5ueHRo0do27YtBgwYAHd3d3h7eyMuLg5hYWF49OgRbt++jffv3wNITUBbErK+Z8Q///yDGzduICIiAnv27MH169fTHQtJfPr0CX369MGLFy/QokULDBo0SFB3U5C/JCQkYOrUqcKobrly5SASiYRwYtnIqlQqha+vL6ZMmYJevXoJypF3795F1apV8eXLF2zbtg2VK1dGcnIymjdvjoCAAERHR+P58+dC2AwA9OvXD7169cLFixdx/fp1LFu2DLVr1xYS1eaU5ORklC1bVnifyTqTckra/aVSab6qQrq7u8PJyQkRERGoUKECPn78iP79+6NOnTpQUVGBpqYmkpKSUK9ePTRp0iRDJS8AqF69OiwsLLBp06ZsHeOGDRuE9oCNjQ3+/PPPfDkeqVSK7du3Y+TIkYUS5aFAQU5RUlJC06ZNsXjxYkRHR8PAwABSqRQxMTFQU1NDeHg4pFIpPn78CHNzc5CEsrKy3HPl5+cHCwsL6Ovrw8DAANu2bcODBw8wa9Ys+Pn5wdbWFhEREQBSI6c+fPiAmTNnomXLlrC2tgYAPH78GEeOHEFkZCScnZ3RvHlzVK9eHTVr1szIZoXjkxu8vLxgaWmJ4ODgojYlV0RFRWHu3LkYM2YMypUrBy8vL7x48QLly5dHuXLlsHfvXuHGNDMzw71794R4z7SYmZnh6NGj6eQedXR04OPjg/Lly+Pp06e4f/8+LC0t5ba5ceMGXr9+DUtLS5QpUwaLFy+Gp6cn+vTpg2fPnuHChQvCtiTx7t07IfmizLFRU1NDly5dUKpUKUgkEmzcuBHh4eFo3749ypYti8+fPws2iMVibNu2Lccf60+fPmH06NFQVVXF5s2bUb9+fTnnMDAwENra2kIserdu3YS8DaampoiNjUVwcDAePHiAiRMnCud/8+bNOHPmDJ48eQLg/0eJ0jqOEokEUVFR2LBhAy5fviyXjO3ChQvw8PDAu3fvcPny5QxtDw8PR61ateTm93z69AmzZs3CiRMnhO3evXsnyFmHhITgzZs32LdvHzZs2IBLly7hn3/+waxZswCkNqiGDRuW6waU7NqVL18eSkpKMDMzw+jRo9G1a9cCneeWkpICT09PTJo0CVFRUQBSw1JjY2NRs2ZN1K9fHy1atMDw4cPh7u7+U8rP7927F25ubggKCsLr168xd+5crFy5Ui4buoK8c/bsWYSHhwuN4cxo27YtdHV1oaamhvXr12f6DFSoUAGhoaEZXq/x48fj5s2bMDQ0RGxsLNTV1TFr1ixER0dj6dKlcs/7yJEjUalSJVSvXh2//vor9PT00L59e8EJkU30LYjnMSAgAA8ePEC1atUQHR0NV1dXODs7ZzjPJSekpKTAwcEBd+7cgYuLC86dOwcXFxfs2bNHrmyxWIzPnz/jzZs3CA8Ph5ubG1RVVbF27Vqoq6tDSUkJ2traqF+/Pjp06ACSWLVqVaZ1Gxsbw8rKCj179oSpqSkOHjyI0qVLIzw8HA8fPkT58uXRsmVLQaJagYKfiXfv3qFhw4ZQUVGBSCSCjo4O9u3bh1q1aqFWrVogiYiICKH9IpsjvnHjRkybNk1Ipj5z5kyMGjUKbdu2Rbt27XD16lVcu3YNI0eOhI6OTrbtiY+Ph4+PDwIDA6Guro7AwEDY2Nhg7969sLCwQNmyZUuG46OhocFx48ZBT08PgwcPhqqqaqHU6+7ujtKlS8u9rMRiMWrXro3OnTsXig0FxbJly7B69Wq5ZbLEca9evUKlSpXg7e0t13s1a9Ys2NvbC/loZIwcORLr1q1Do0aNcjyfJC+EhITg3r17Qg9iUFAQnj9/DmdnZxw+fBgPHz5EUlISzMzMoKenh5SUlEx7GGVOytmzZ9GkSROIxWIEBASgQYMGePr0KRITE1G2bFnY29sLYYSxsbG4desWLl68iN9//x0+Pj44f/48nJ2dhV7WpKQkREZGQl9fHyNHjsTMmTMFO/T19eHj44OGDRvi+fPnQiK3jPLNJCcno3fv3vD390d8fDwmTpyIK1euwNjYGOrq6pg3b57c9kFBQahfvz6A1F6VtOF0x44dw+jRo4W/0z7vgwYNQnJyMoYNG4Zp06bhy5cvsLS0xJkzZ4RtdHV18fDhQ1y6dAnq6upCkrfM+H59vXr14OLigkaNGuWr8EJWSCQSrF+/HiEhIdDQ0EDjxo1RrVo1/Pbbb7h+/Tq6d+9eaLbkhOzOu3v+/Dk0NTVRuXJlPHz4EDY2NkJHwsKFC7Fu3bpinX+pJHLw4EFYWFgIf8tGR2Sjv+PGjcPBgwehpKSEmJgYKCsro27duhCLxfjll1+wa9cuLF++HGZmZhg6dCgiIiJgZ2eHkSNHomfPnpg6dSqioqJw+vTpdHX36dMHX758wYEDB9CuXcbpKYDUZ7Zly5ZwcnKCRCLBgwcPULVqVbx69Qpubm7Q1dWFWCyGnp4eevbsme1jl0qlAJAtR2nAgAEwMzNDrVq18OTJEzg5OWH69OmYMmWKsA1JYYK3t7c36tevD2NjY4wcORK7d+/Gnj17hLpu3ryJO3fuoGLFitDQ0MCECRNw5coVNG7cWHg3RkVFySUYTcvdu3dRu3ZteHh4YOvWrWjevDn69euHuLg4rFy5EsePH0d8fDwuXLgANze3DMs4cuSIMMr+zz//4NOnT7h9+zYCAwNRp04d6Ovrw97eHmPGjEGNGjXQoUMHtG7dOtvnV4GCkkDLli3l8lbllIiICAQFBcHZ2RmDBg3Cw4cPsWjRIsycORPbt2/Ps30vX75E06ZNAaBk5PFp3LgxSTIsLIzdu3dnixYtuGXLFn79+jXnmnbZQCqV0sTEhLq6ugVSfnHAxsYm29tevnw5S+364oi/vz+nT59OANyzZw91dHS4e/dubtu2jVOmTKGenh4bNWrETp060cPDg46OjnR1daWhoSHXrl3Lhg0bslWrVhlKN1tZWVEkElEikQiyzba2tly4cCFJslmzZrSwsODixYspFou5d+9eVqtWjQCooqLCatWqsXXr1mzWrBkbNmzIS5cukSRv377NKVOm/PBcBwcHC3bI8g7Jrs/ixYsZGhrKe/fuMSUlhQDo7u5Of3//dOWkPZ527drJrbt69SqrVKnCBg0ayC3ft28fly9fzp07d6Y7J+3atctQojUtUqmUzZs3JwCWLVtW2LdVq1Z5kh7PKXv37v2hpHVgYGCh2ZFTZDZu376diYmJmeZekv3mzp1Le3t74V5RkL88ffqUo0aNYo0aNTK9DmPGjOGUKVO4cOFCTps2ja1bt2bHjh1JpkrEjxs3jqNHj6auri51dXVpa2vL8PBw7t+/n4MGDcpQqlaGkZGRIPOfV5KSkujo6ChI1gcEBPxwW9m77/Xr1zQyMqKZmRlPnjwp/Hr37s3FixfL7RMREcH9+/fz6NGjwrP2+fNnDh48mAMHDuTGjRvTnTtjY2PevHmTGzdu5LFjx+jk5ERnZ2e6uLhw3LhxvHPnjnD8hoaGXLhwIY2MjOQk+nN6Dvbv3885c+Zw+/btnDNnDiMiIjLdJyIigr/99puQO+Xs2bNy6+Pi4jhlyhTa2tqyXbt2/PLlS65sU6CguDJixAg+ePAgX8qKjo6mWCxmaGhovpQnw9fXt+Tk8ZE5PjKePHnCgQMH0srKik2aNOHs2bN54sSJfD1BYrGY3t7ePHbsGA8dOsRjx47l28elOJATx6ek8e7dO6qpqREAtbW1WadOHerr67Nfv36cMmUKHRwcaGFhQVdXV06ePJn9+vVj3bp1WalSJQJgnTp1qKysLCTSq1WrFteuXSuUf+nSJQJg27ZtOXToUA4cOJDXrl1jWFgYIyMj+fXrV27ZsoXLly/nsmXLeP78eXbs2FH4kOvr63Px4sVy+VOaNm1Kc3Nz7tu3L8uP7P379+VyCDVo0IBDhgzht2/fOHPmTKqqqrJp06YZ5iCS8f79ewJgWFhYunWBgYHctGkTb9y4QTI1f0b//v1pZ2fHr1+/8suXL0IuAgDs3r07a9WqRQCZNtC+JzY2VshhlPZXq1Ytvn//Ptvl5BQlJaVMG6lZOXBFhbu7e4b2litXjlOmTJHLeUKyWORR+lmRSCTC+a9QoQK7desmly9D9hs0aBCHDRvG7t27Z9v53L59Oxs2bCiX7Dgzrly5woULF3LcuHGMj4/Py2HJERAQwCNHjnDixIkcOHAgZ8yYkWn5KioqdHNzI5l6fj58+MD27dvTyclJbjsPDw/evn2b7u7uPH78OL29veXyiSQkJDA0NFTuPB47doyXL1/Olt0/yleWG+zt7RkcHJzldo8fP+bmzZtJprYd5s+fn24bWcJuFxcXheOjQEERkJXjU6xC3bS0tPjq1asM161atQpubm549uwZAGD9+vWYMGHCDycu5pZ//vkHDg4OqFatGlasWFHiY3UzCnX7mYiOjsalS5cQGxuLjx8/okyZMoKEMUls2LABAwcORJ8+ffD7778jLi4OhoaGePjwISpXroyQkBA0atQIr1+/zrIuknj48CEOHDiA2NhYAIC2tjZ69eol1H/t2jXo6+sjPDwczs7OePXqlTDRt2/fvihdujTOnz+fq/sqJSUFS5Ysgbq6Ovr374/u3btj/fr1cuEjGREfHw9HR0eoqqqmm4OVlrdv3+K3337DhAkTYGpqioSEBDRp0gR//fUXNDQ0BMGEPn36oF27dnj16lWOjiM+Ph7h4eHYtm0b7O3tUblyZcTExKBMmTK4fv06dHV1hRDA/CAr2+bPn4/NmzfnW335gba2NgIDAxEYGJhlbhEFBUdKSgp27dqFatWqQU9PDzo6OrC1tYWPj4+cLLqpqSni4+Nx8uTJXNWjqamJ48ePZ1tNEUgVTxkyZAgCAwNzVWdWHD58GIcPH8Zff/2FOnXqCMtJIiEhAQMGDMCtW7dw6tQp+Pj4oGfPntDQ0MAvv/yCmjVr4tSpU/jw4QO8vb2hqqoKFxeXdM/ip0+fMGTIEPj5+aF9+/a4f/9+sf7WSiQS7NmzB9++fUO/fv2gq6uLkydPIikpKZ0s/Js3bzB+/Hg5OfK///4b+vr6hW22AgX/Sfz8/NCuXbuSFeqWFa6urtTU1GSTJk04duxYDhs2jABYunRpzp8/nxcuXMixh/g9Bw8epIaGBufPn08AtLOz48SJE0tc7+rPPOKTF6Kjozlnzhy53saCQpZ5WfbLbWiGDBcXFwLgjRs3hN7lFy9eUFNTkytXrkw3unP16lVOmjSJu3fvzrI3unfv3sIImrGxcYYhMEeOHOEff/zBa9eukSR79OjB4cOH5+gYoqKiMhzVkIXGPX36NEflfY8sBFD2U1ZWpouLC/X19QmkZuQuTjRp0kSw9c2bN0Vtzn+e79/zlpaW6e7VJ0+esFWrVvTx8cl1PePGjePUqVOzvf2pU6doZWXF6OhoueUfPnwQRq/d3d3z/J0KDw/P8J348uVLOjg40MnJibdu3eLOnTt55coVJiYmUiQS8e3btxw2bFiJ+06mRSqVClEf8fHxXLp0KevUqcNNmzaRTB3lWrRoUYaj6DISEhKYkJBQKPYqUKBAnhIb6pZ2SDwjmjdvTjs7OwKgn58f7ezs6Ofnx/DwcF64cIGrVq3KURxiSkoKDx48yGnTpvHkyZPU0dERPmgrV64UPnYtWrSQm/tQ3F/wCscnc6ytrQmADRs2LND5Ef7+/uzcuTPv3r2bb2WOHTuW1tbWnDFjBv/3v/9x7ty5wn155MgRHjp0iNOmTeO4ceMYFxeX5/qCgoJobW3N1q1by4Wu6erqyjUIR44cKeyjo6MjF8ZCpjYKpFKp8Ozs2rWLrVq1YrNmzWhgYCBs/+jRozzZO3LkSDm7SpUqRS0tLVpaWnLDhg15Kjs/EIlE/Pjxo2BfUFAQk5OT8+U+/D586vnz57x06VK25kuGhIQI///48SMXL17Mv/76iyTlrtvPzvr16zl+/Hi50EwZV65cYceOHXnr1q081REaGspmzZple3snJydOmTIlw3UikUjOgS5TpgwNDQ158OBBPn78ONvXLTg4mHZ2drx37x4lEglPnz5NW1tbfv36lRKJhHFxcezZs6ew/bVr1+jq6sojR47Qz8+P7969y/bxFBcAUFVV9YdhscHBwdy2bRt37NhBNze3TJ0eBQoUFC0lKtTtl19+YZUqVVC5cmU8evQonXzy91hYWODgwYN4//496tWrl269TIFHT08PN2/eTKcSd+PGDdja2iI5ORl37tzB6NGjYWVlBU1NTTRo0ABOTk4oXbo0vnz5Ah8fHzg5OQFIVcr68OEDrKysfpgPp7jws4e65Qck4e7uXmhJNrOD7LkMDg5G3bp1MwwD2bhxI4KCgqCjo4OAgAC4u7sLSTmVlZVRvXp1hIWF5UsIyaRJk2BiYoJevXrJ5a2Kj49HxYoVUaFCBSGpauXKlXHgwAEYGRmlK6dVq1Z48uQJtm/fjlmzZsklANbU1BRylIwZMwZHjhzJk83VqlXDt2/fAABdunSBiooKPD09C00tUkZkZCTU1NRApsq1d+7cGWFhYcL6nTt3YsqUKRkqsJHZU3j7EYmJiemOV1tbG4sXL4aZmRnOnDkDVVVVIZfIr7/+ivLlywsqhKVLl0abNm2EsB0HBwecPn0aQ4YMybVNJYH4+Hi0bdsW34deX7x4EefOncOzZ8/g5OQETU3NPNVz4sQJHDhwAOfOncv2PhcuXMCZM2fg4OCQ4fply5ZhzZo1aNSoESwsLDB37lw8f/4cHz9+FO4nkhCJRChbtqyQq0eWc0dFRQVaWlp49eoVfH19MX36dFy9ehUqKipYtGgRypQpI8g3/2yQxJs3b7Bz507o6ekhODgY2trauH//Ph4+fAgvL6+iNlGBAgVZUKJC3WrWrMkuXbrw/v377N27N6VSKcViMW1tbeng4MDw8PAfenhisZgDBw7k7Nmz+eDBAyorK3PWrFmcO3cuw8LCKJVKhQmZAFixYkX27NmTf//99w/LlPVufvr0icHBwXz16lUWfmbxQzHiUzJJK4rQvHlzLliwgB06dBDWnz59mgBoZGQkNyLZq1cv4f/fTzaWSCTCSGpGI6pp13/P8ePHWaNGjXQ93HFxcVyyZEmG+0yYMEGwRUNDg2RqT0zTpk0JgCYmJhSLxTx69Khc72qPHj2yf6IyISIiIl3Pbdu2bdmxY8cCFzb4448/CIBWVlYZiizMmjWLKSkpWZYTGxubaxtu376drt46depw6tSpBMCdO3dSVVWV169fp7a2NqVSKZ88ecJ69erx/PnzGYbqWFhY0NjYmBs3buTbt29zbVtxJjk5mWPGjBHOmaGhISMjI0mmKh7u2bMn12XfuHFD7npUq1aN5cqVE+7Nhw8fZqucRo0a0c/PL8vtDhw4kO0wXolEQg8PD/711198+vTpD0V+ZGIoChQoUFAcefDgQckJdQNSFaQkEgl9fX3p4eHB48ePMyAggOHh4Txx4gRHjBjxw4MdN24cAfD8+fO8efNmujhoGREREfT09OTq1avZsGFDdunShQ0aNOCECRNyeHqLP/91xyclJSVbDczijI+PDydPnsxevXqxbdu2bNGiBQHw/v37tLS0JJnayG3dujXNzc05adIkHjp0KNPjFovFciFVYWFhBMDRo0dzxYoVnDlzJrt27cqOHTuyffv27N27N728vOjh4ZFtu6Oiorhjxw7WrVuXAGhqaiosnzx5stD4kzXEN23alC1lpZwQEBAgKNEByDKENi+EhYWxf//+Ql3dunUTGqcpKSmMiIj44TupILh//z5nzJhBBwcHHj58WK7BraOjQysrqxyp88lIq3T2syEWixkYGEhzc3PhGBctWiSs79KlS65VP+Pi4giAampqbN++PcPDw5mSkkKRSMTExEQ6ODhk65z6+/uzfv362aoTAEeNGsWAgACamJjQzc2N169f55kzZ9Ipjj1+/Jimpqb5qhinQIECBflNaGgo//jjD3748CHD9ffu3Ss5jk+LFi2yjEOWSRTr6OhwyZIlwtwFIDXvyrhx47I8abL4XJFIRCMjI7q6uvLRo0eCPGZcXBxjY2Pp7+/PV69eMSkpidu2bePvv//ONm3acN26dVnWUVz4rzs+PyPr1q0T5pcNGTIkw22eP3/OHTt20NLSMkNRA9lzJpFI+PLlSwJINw8oICBAaPzVrFmTLi4u9PHxyVXDyNTUVK7hbWhoyIiICD558qRQ5lg1atSIAOjv7y84joMGDcrXOry9vQWHRzafKbtkNhE6L+dFltcKAJWUlNijRw/evHkz1+WRZIcOHQiA06ZNy1M5xRGZQIDsJ5uTJxKJqK+vn+PrKiM5OZkAuH///gzX29jYsFWrVixVqlSW19vDw4Nt27bl58+fs6xXJme/c+dO9unThzdv3qSenh4TEhLo6upKJSUlmpub89SpU/z8+TPr1KlDACW+s0iBAgU/L4aGhnLvaQ8PD544cYJ79+6lq6urbKS7ZDg+enp6OTr44OBgmpubs1OnTgRS81xkFrqWEVKplOfPn+fJkyfp7u7OwYMHc8eOHTx//jzHjx/Phg0bct26dYyKiqKbmxsB5FvypsJA4fjkDxKJRAg7iomJyZcJ3vHx8VlOkn39+rXw/4SEBFpYWHDnzp0kUxtjAwYMIJma3DAt0dHRfPbsmVBGs2bN+P79+wxzX6SkpLBBgwZs0aIFly1bxkqVKgkTfVu3bi3kPZL9+vXrl6vjTUxMZGJiIps1a0YgVYXxxYsXuSorJ4jFYtrb22c4aTkvYUvf8+/wOsePH5+j/aRSaaZhht+PzuUWqVQqhN19HwaZ1X7+/v4EUtX+TE1N8xSCV9yIiopiZGQka9euLXdvyJBIJIyKiuKgQYPo4uKSqzpEIhHbt2/PTp06yS338vLiggULcnwfbtu2jRMnTszWfaGvr88OHTpQT0+Pa9as4ebNm7lv3z5aW1vzyJEjJFOfTTc3N44fP57q6ups3Lgx9fT0hA4WBQoUKCguyDqlQkNDuXbtWq5cuZJdunQR2jz/bvNzOj4/4uLFi5RKpUxMTMx39ZV//vmH8+bNy9cyCxJra+uiNuGnIzIyMl9U0rp27So0sjp37szhw4dz+fLlgvLW92qC9evX571790imSrrv3r07w4bayZMn2bx5c2EkRTZiI1NMk2WST8vixYs5bNgwvn79mp6enunWS6VSmpubU0NDQ67OH0nxrly5ksePH+etW7cyDA3q2bOnnGJSWgoiHO3bt2/85ZdfhDrd3NwynTOYG8RisTCXKSdIJJJCaVxWq1aNderUYZUqVWhmZsbNi0z9AAAgAElEQVTevXv/8Bw8fvyYp0+f5tGjR7l3794cqYKVFNq0aUMgNXmx7L7YsmULAXDNmjVMSUlhr169aGlpyTlz5nDUqFE5zjCekpIidCZ4e3sLy2Xhn9ra2rlyIm/cuMHBgwczKioq2/vEx8dzxYoVnD9/Prds2cL9+/ezcePGmSYC/fPPP3+6665AgYKfi4iICP7yyy/ct2+fsCwzx6dYqbq1a9eOvr6+eS5HSUkJrVu3xvv379G3b1/o6+ujWrVqAAAjIyNUqVIl0/0fPXqE2NhYdOnSBRKJBCoqKtDR0YGNjQ0iIiIwZMgQucRuxRmFqlv+k5ycjNKlS8upm+UVZ2dnmJmZoW7duggODgaQqo52//79DBNZHjp0CFKpFEpKSli/fj2ePXuGoKAgGBsbC0kEy5Urh0uXLiEqKgq+vr4oX748Ll68iIMHD6JFixZCWSYmJvj1119x584dPHv2TEjs+iNWr16NQ4cOCUlfra2tsXbtWrlt+vTpgytXrgh/d+7cGZ07d8b69euhrKwsp1RmamoKZ2dn4W8yb0pmmSErV0tLC8eOHYOurm6+lQkA06ZNw65du/JcZmGQlJQEW1tbtGjRAomJiYJCYFJSEpo1a4bWrVsX66SSuSUiIgI1a9b84XpHR0dYWFigdevWOHHiBLS0tHJUvkgkwpw5c+Dh4QFdXV20b98empqamDt3LjQ1NfHy5UuULVsWiYmJKFWqVK6O4dmzZ7C3t0eFChVgYWGBVq1a5aocBQoUKPgZkH2rQkJCULt2bSgpKZUMVbf8GvFJm2vi7NmzHDduHBctWsQdO3ZkmVRs1qxZBMDZs2cTADdv3pxtpZ3iiCLULf9JSEjItJc0N5w8eZJ6eno8c+YMbW1tCSDbCfCePn3KvXv30svLiykpKZRKpZw5cybNzMy4aNEirlu3LtPRjdjYWG7dujXH90p0dLQwdwYAPT09uX79ekEB6/Hjx0JC0ooVK2YYahYSElKgggMZkbb+3E5UJ1N70GXzo/Cv2MR/lcK+hjlFKpXywYMHrFatmtz1HzRoEMVicYb5ifT09HIUYnj37l25OXFp58Lt2rVLLrwyv86XRCLhuHHjch2Cp0CBAgU/C7I5w9++ffvvhbrllq1btxLADxPEFQYODg75Wp7C8Sn+vHr1SmgUdenShcuWLeP79+9zXZ4s6eK7d+9ob2/P7du3UywWC06RVCqlk5MTL1++LOzTokULTps2jVZWVpw+fTpdXFwYEhLCr1+/Mjw8nL179+bEiRPp6uqaziFzdXVluXLl2KZNGyGB4oIFCwTnMCkpiZqamgRALy8vYcK1rIGY3VCapKSkXJ+T75GFNOUlZFEmF922bdtcl1HcHYaC4N27d9y9e3ehzO+SSqWcPXs2S5UqJefwtG3blnPmzEmX6DUtQ4YMybaQx7dv3wRhgI8fP2a4DQpgvszTp09pbGysUGJToEBBkSCRSGhpaUkXFxdu3LiRXbt2pZqaWoF2xsTFxVFfX59WVlbcu3cvjx49Sjc3N545c4aDBg2SpQ1QOD6Z8fz5c1pYWNDPzy9f5m7khqlTp/LZs2f5LhGrcHyKN2kbYxcvXsyXMu/fv889e/Zw9OjRfPPmjdw6qVTK5cuXMyAgQJiPEh8fz99//11uuzdv3rBt27a0t7dn9+7deeDAAcbGxjIgIIBDhgyhpqamkBcrI5ydnblmzRoOGjSILVq04KhRo9inTx8C4NatW+np6clLly5le1SrIJDlQgJSZbxzQ5s2bXj69Ol8tix7lESnaefOncI5X7NmTYHWlXY0Lu2oo5eXV7b2nzt3brZz1sikqjMbQdTU1KSvr2+2yssKkUjEuXPncs6cOQWqhqhAgYL/JsnJyXzz5g1v375NqVRKX19fYf5xWo4fP87ly5czOTmZs2bNolQqFaI+8gOxWMy4uDguWLCACxYsoJubG8+ePZuu7SCVSvnq1SshR5/C8ckC2Qdx7dq1RdZz9vXrV+ED/eeff9LAwIB9+vTJc0iVQtygeJKYmMhly5YRACdPnsygoKBCq3vNmjUEwDt37gjLjIyMsu10x8XF8dixY+lEFbLi/fv3PHDgAAcPHpzjfQsK2egYAA4cODBH++7fv1/o4VfI/2afEydOUE1NLVf7yhTwskPLli2Fa6utrc0ZM2bw27dvfPr0abb2X7ZsGUePHp2t0VcAWebWkTl9ecXFxYVjxozJ06iwAgUKFKTl+fPntLOzo4ODA52cnHj06FGeO3eOV65coaGhITU0NPjPP/8I21+7dk3Id7Zy5UquWrUq2+/WrEhMTKSXlxf79u3LSZMmce7cuTlWUy5wxwdAVQDuAF4ACATQCUB1AJcBvPr332pZlVNUjk98fLxcz6CXlxcBcObMmYVS/5MnT2hvb8+yZcsK0sG3bt3ikydPOGzYMMGuhQsXEkCOkkgqRnyKJ58/fy4WUrGyRuSkSZO4evXqHO0bEhJCAJwzZw4HDhzI3r17c9euXdl6QXl5eeVY9rmguHbtmtzz//LlS7q6ugphe7L5S2kJDQ0lAJ46dYpk3nLt5JWSOPITGBhYoOWnpKTIXVMVFZUMFRAz4/Xr1xw2bFi2vgOZhbjJkKnH5ZaLFy/S0tKShw8fznUZChQoUPA9Dx484PTp03/4HZs5cyaVlJT49u1b+vv7c9KkSdy1axfJ1NHnDx8+cPTo0fz27VuebVm0aBGB1FQaERERuS6nMBwfJwCW//6/7L+O0EYAi/9dthiAbVbl5MXxWbVqVZ57XSdMmJBu8rVYLGZoaCjbtGmTp7Iz4vTp01RTU+PYsWM5efJk3rt3j/v27aOLiwtNTEw4YMAAOVu6d+8u/L9fv35Cgy2zUSGF45P/JCYm5mkkLiQkhEZGRtlKQFjQxMfHs2nTpqxRo0aeGmWJiYncvn07AXDSpEkkU8PlZPLbGdGhQ4ciDXX7HnV19QwFGGQ/AwMDYWR206ZNBFAiwowkEkmGdmY0ob84cv36dTZo0IAVKlTI0X5p5/VIpVKGh4fTzMws245iaGhotpPc/vbbb6xQoQLt7e3l5i5JpVLGxcXx0qVLgi0XLlzIsjzZd2fNmjW0trYW5sjlV6icAgUKFMTGxtLZ2TnLduLTp08JpCYeP3fuHMnUtB4nTpzg1q1buWTJEjkpaRnJyclCu1wikfDWrVs8ceIEPTw8OGTIECE0+OvXr7x16xZtbGw4a9asfMkTV6COD4DKAN4BqdLYaZb/A0Dj3/9rAPgnq7Jy4/hIpVKmpKTQ29ub2trachO2M0LWAPD19eWiRYtoYmLCefPm0dzcnJcvX+bQoUMJQJgInlapJ79ITk5ms2bN2KxZM9rY2NDZ2Zlnz56V28bLy4uPHz8W6v71119ZpkwZAqk5XQwMDFi9enVqaGiwW7duDA0N5a1bt+jg4MD79+/z69evnDRpEo2NjTlnzhz+8ccfnDRpEnv06JHphF4FBc+UKVN49erVojZDjjdv3mSr1zojgoKC+Pz5c378+JEA+OHDB5Lk2rVruWXLlgz32bhxIwFQSUmpWDW+v28U79u3j7/++qucAyQLcSuMyfl5QSqV/lCxrKSQdp5Odp8Z2TteFkqa9mdvb//D/UQiUbo5Oj169Mi2rYGBgTx8+DABsFWrVhw3blymjjQAqqqqUldXl7q6ulRWVmaVKlWEdbVq1WLz5s05ePBgbtmyhZqamly0aBGPHTvGHTt2lNhrqkCBgqIlISGBa9asoaura7ZHadK+b16/fs2JEyfKzflJSkrirVu3+OnTJ06cOJFbtmxh/fr1uWPHDg4ZMoQrVqzgnTt3KJFI+O3bN96+fZu6uro8ePAggfT5/PJKQTs+bQD4ADgIwB/AfgAVAHz7bruoH+w/GYAvAN+6devm+OAkEglFIlGOwz3EYjE9PT3p7OxMOzs7mpqaCg7B2LFjOWzYMJ4+fZq2tra0tbXl/Pnzc5Qs7kc8ffqU9erV42+//cZnz57x5cuXnDBhArW0tBgSEsJWrVoJHz4zMzN27NiRGhoarF27doYfOj8/P06YMIEXLlygn58fX758yTdv3vDq1ats2LAhjY2N6ebmJvexHTp0KJ2dneXKefv2LVetWsWFCxfmKKu7gpxTlCFu169fZ7du3WhiYiK3XBaGM2HChByX+fnzZy5atIi1atUS5splRvv27QlAcOxHjRqV4zoLC4lEIoQlqqqqyj1Hxb3hmZycXCJGpDJD1rGVm44nY2Njuet15cqVTLeX3ZdkqmKfpqZmjsPKRCKR4PBUqVKFI0aMyNL5AcAyZcpw+PDhvHjxIjt37kwPDw+Ghoby48ePjIiIoImJCefPn89evXoJnQZGRkY5PicKFCj4+RCLxdyyZQvt7Ow4Y8YM+vn58fPnz3JzctKio6PDJUuW5LieV69ecffu3Tx27Jjc92/r1q3cs2cPq1evznnz5gliSQ4ODvT09Pzht1IkEnHPnj15Cmn7EQXt+LQDIAag/+/f9gBWZ9fxSfsrajnrzBg/fnyGGe1lZKcRdOnSJfbp04fz5s0Tth8+fHi6j6C3t/cPHbnAwMBc5QuRSqVC+a6urnR0dOTMmTPp7+/Px48fs2fPnvTz86OWlhbr1avHLVu2KCZs/4C8hroBKLK8G927d5ebxB8TE8OzZ88SABs2bJjn8itUqEAAnDt3bobr3717J9yHCQkJfPjwIQGwZ8+eea5bQclFJBLxzJkzJMmoqCj+8ssvBJCnmPHevXvLvVebNGnyw23DwsKE7erXr08rKyv6+PjkqL7AwEBhVB4ANTU1hREkkUhEJycnvnr1itbW1jx69CifPHnCUaNGsVKlSmzRogUBsHHjxrS0tOTy5cvZrl07Hj9+vESFVSpQoCD3BAQE0MPDg3Z2djx16hTXrFnDwYMH09ramo6Ojuzfvz+nT59OW1tbLl++nHXr1qWDgwMBsHPnziRTR16GDh3KJUuW0MjIiEOHDhUclfXr13PJkiVCZ4uurq4wTzUzEhISOH36dAJIFzF0/vx5ocMoKCgo20qYBU1BOz7qAN6n+bsrgHOFFepWWJw5c4aHDx+mra0tBw4cyKZNm7JRo0Z0dHTkmTNnqKGhwS9fvtDT05PdunXL0BH666+/aG9vz27dupEkT506xYkTJ/L8+fOFOkH5yZMnHDp0KM3NzeUUtgAIykPXrl3j8OHDsy39+l9C5vjktiHyvaNbtWrVfLbwxxw+fJgxMTEkU53hBg0aEACrV6+e57LXrVsnd1x16tSRWy9LZgqAO3bsIJk6x6hu3br5Hk6qoGQRExPDZcuWkfz/kZf69evnKcHs169fOWTIEOHeyqiH83vJa1moWVqnJTNCQ0MZEREhd28DYPPmzRkaGprhPvPnz5fb1srKKtM62rdvz9u3b2fvoBUoUFDiEIvF3L9/P588eZLpdmFhYRl2uiYnJ8uFiskSmpuamnL+/Pk0MzPj6tWr6eTkxJcvX3L79u18/fo1o6Kismx7xsfHs0mTJhnWK3uHOTo6smLFirSwsODEiROzedQFS4E6Pqnl4xaApv/+fyWATf/+0oobbMyqnOLs+Ozdu5erV6/m8ePH6enpSR8fH379+pU+Pj4cP348X758ydu3b3PlypU/VCxSVVVljx49hHw9sl9RSWjLlDzS2lK9enUCYPny5dmlSxdOnTq10NTtSgpSqZRJSUn88uVLrsv48OEDg4ODBUXBwgqbevbsmdzfzs7OwrU3NDTMU9lSqVRuDkVGIT01atRI93JPK+XeuHFjwTFT8PMhEom4a9cuIQRMJBLJvXvmz5/Pvn375mhuTVYMGTKE5cqVY+fOnenr60uRSERHR0cqKSkRAMePHy9Mpk2bTNjR0THLsk1NTYXt+/fvz2fPnvHr16+USCTCJOC0pHXyv//9iDlz5uT+4BUoUFBsSUxMpKurK48fP54vimj5iUQiEURZoqOj0603NzcXIjtOnz7N48ePF6vw78JwfNogdZ7OEwCnAFQDoAbgClLlrK8AqJ5VOcXZ8ckOUqmUM2bMkFsWFhbGQYMG0dDQkOXKlePhw4dZunRp4WM3ZsyYIm/offnyJd1HOO0kW2VlZe7cubNIbfyZqVmzZqGNdsheTPfv3xccbqlUykePHrFOnTosVapUvtV1/vx5Dhs2TBjdycymjh07CvdbhQoV+Ndff+WbHQqKD2mdXNnICAAGBQVx7dq1Qihufn5ARSIRY2JiWL58+SydjcTERK5YsYIA0s2Dy4jIyEgCYK9evYRlshxX5ubmGZYvq/v06dOMiIgQ3rVTp06llpYWBwwYIDfSXrZsWYaEhOTu4BUoUFAsiY2N5c6dO/OcqzE/cXJy4pkzZ/jnn3/S3d0903ntQGr+nuPHj2c5f7IoyMzxUUpdXzxo164dfX1987VM2fEpKSnla7nfExMTAxsbG6irq8Pa2hp3797F/Pnz0aZNG5ibm2PFihVQU1PD0aNH5fZzc3ODkZFRgdqWHaZOnYq9e/f+cP2IESPQtm1bLF26tBCt+u+gpKQEX19f6OnpQSqVIjk5GeXKlSvQ+pKSknD37l14e3tj7dq1AID169fj5s2buHDhQoHVnRmtW7fGkydPAAAfP35EnTp1isQOBQWDpqYmQkJC5Jbt3LkTVlZWKF26NABgwoQJ6NChA6RSKd69e4datWphwYIFea47Li4OwcHBAIC6deuiYsWKcjZERkbi4cOHGDFiBCZMmACxWIysvo9hYWHQ0NCAsrIyUlJSMG7cOBgZGWHo0KGQSqVy3x2xWAxra2toa2vj/fv3qFmzJiwsLKCqqoo1a9bAxsYGAJCcnIxRo0bh0aNHiI+PR0REBL5+/YqqVavm+RwoUKCgaElKSsK5c+eQnJyMgQMHFpvnmiRKlSqV7e8uSQwaNAgGBga4evUqrly5UghWZh8lJSU/ku0yXPkjj6gofgUx4mNqalrgQ4hnz57loUOHGBMTw8jISB45coQA5CSqZXNnZL/KlSszNDS0WA0Nbt68+YdhGPg3JGT79u1FbeZPSbt27bhs2TLa2dnRzs6OY8aMoaqqqhB6CCBf54EB4LNnz+jp6cmpU6cK0sxSqZQqKir5Vk9uqFevHgFw+PDhxer5UJA3RCKRoPy3fv164b5WU1P74Xw5IyOjArsH/ve//7FMmTL89ddfWbt2bXbv3p0eHh6cMWMGRSIRy5cvz//973+ZlvH+/Xu50aM2bdoQAP39/dNtu2vXLr58+VL4++7du9yxYwf37t2bqdjJwIEDefz48VwepQIFCooDKSkp3LRpE21tbQtExSwv/PPPP+zfv3+ulN5kefuKGyjoULf8+hVUqNuNGzd46dKlfC0zKiqK9vb2PHbsGLdt28Zbt24RAHv06MEKFSqkC03Yvn27kHenOOfRSZutPqOfsbExFy5cyDNnzihU3/KRzBp3MTExctcgrw6QWCwWytLS0uLp06d55MgRbtiwgSSFUMeiYNKkSXLHevfu3SKxQ0H+IxKJuGzZMl6/fp2tW7eWu84PHjwQtpNIJJw3bx6bN2/Ot2/fFogtsnA02e/o0aPEv6IbQUFBvHjxIklyxowZP1QoJP9/HpssJORHOZOioqK4aNEiJiYm8tixY7xy5Qr9/Pz4+vVrxsfHUyKR0MPDI8M6AgICWKtWrXw4agUKFBQFycnJNDAwyFbyYpJCHsnCQKb4m9E8nqzw9/cnAFpbWxeAZXkjM8fnpw91y09CQ0OxcuVKNGrUCCoqKpg+fTrEYjHMzMzg7u4OGxsbLFmyBACwYMECODg4ICUlBWXKlMG3b9+KzZBmVly/fh09e/b84XptbW20a9cOqqqqqFy5MmxtbQvRuv82c+bMgb29PXR0dHDnzh1Urlw5x2VMnDgRBw4cEP6eNGkSrl69CiMjI8yZMwcaGhoAgKtXr2Z6HxQE/He4/ftlCn4eJBIJ4uPjUaVKFbnlnz9/RtmyZdGoUSNERkaibt26ePjwIdTU1PLdBl1dXbx58wbfvn2DkpISSKJhw4Z4//497t27h6CgIPj4+ODw4cPYtm0bxowZAwA4dOgQzM3NhXJGjx4NPT09zJ8/P9P6IiMj0a9fPzRr1gyDBg1CVFQUAgMDUbVqVbx79w4SiQQVKlRAdHQ0pFIpNm/ejAYNGgAAjhw5gmnTpsHAwADt2rVD48aNMXbs2HTPiQIFCoofp0+fxp07d2BlZSU801khkUhQqlSpAp+iAQC1atWCo6MjDA0Nc7SfrJ3Yr18/jB07FmZmZgVkYe74T4e65RWJREJ/f38eO3aMxsbGXL58uVxPYaVKldi5c2eGhYWl249kpr2FxZlPnz5x4MCBwnF269ZN7rhVVVVpbW3NLl26cPfu3YqQpEIkJiaGW7duFcKGgNRkoNnFz8+PAKikpMRp06YxIiKCIpGIFhYWBCAoXBUlwcHBcvfb2rVrFffYT4JYLOaZM2fSjSY/evSIJBkXF8e3b9/y27dvXLt2LTdu3JjvNhw6dIhAqpqiLIdP7dq1qaysnO79jn/D2CQSCSdOnMjk5GR+/fqVtWvXZmRkZLbrTCuAkBnx8fEcOnQomzdvzhEjRnDmzJlMSUlhYmIiQ0NDOXjwYI4bN47m5ubU09NT5PfJJyQSieJcKsg3Jk2aRC0tLR49erSoTcmU2bNn53ifhIQE7tu3j2T2clgWBVCM+OScjx8/wtvbGxYWFgCASpUqQSqVwtLSEvb29ihbtiySk5NRuXJlREdHF7G1BUe5cuUgEol+uF7WWyrroVBQ+Dx69Aht27aVW9atWzeEh4cjMDAQI0aMgLu7u9z6jx8/QlNTEwDg5OSEkydPIiAgAK9evSqUXqbs8r0tTZo0wfnz59GoUaMiskhBbhg2bBhOnTol/L1ixQqcPn0aADB79mxcvnwZ+/fvR/ny5ZGUlITSpUujTJkyAAATExPs378/V6ObP0IikUBZWRnz5s1DdHQ0HB0dUbduXQQHB0NdXR1hYWEAgC1btuDChQswMTGBkpISdHR0sHv3bowdOxZ9+/bNVl0kUbZsWaioqGD06NFo3bo1mjdvjt69e/9wH5nYTFbv1S5dusDV1RW1a9fO2QlQICAWizF58mR8+vQJlSpVQuPGjREfHw8lJSXUq1cP8+bNK2oTFZQgHj9+jP379+PLly9YvXo1Hj9+jHv37qFbt27o27cvKlSoUNQmymFqaoojR47kaJ/w8HCcPXtWaB9nhL+/Pzp27Ii///47XfukMFCM+OSA3bt3U19fn3PmzCEANmvWjJ07d6a5ubmQn0cqldLQ0JAzZsyglpZWEVtcsFy4cCHdaM/3P19f36I2s9DJS2LFwkTWm/09pUqVIgD+/vvv3LBhQ7Httblz5w7Pnj1LAFyzZo3cfWdubs6AgICiNlFBFly4cIEAqK6uznLlygnztiIiIgiA+/fvTzfCMmbMGGH/mJgYNm7cmJ8+fco3m2T5g9TU1Kivr08A1NDQEHL7yH52dnZ8+PAhtbS0mJSURDI16WlQUJBQ1ocPH3jo0CEeO3aMrq6ugiQ3SWppaREAV61axSNHjlAikdDb25sGBga0tbXN0Lb27dtnO2a+e/fuPyxHgTzR0dFcs2YNJ02aRGtra/7xxx9csGAB58yZQzc3twz3mThxIv38/ArZUgUlFTc3N2ppadHDw4PTpk2jnp4ex40bRxMTE65Zs4ZisbjYCRtkJeCSluTkZL548UKYJ5zVfPUrV64I7Q/Zu7CwwH9d3CArHj9+zBo1atDKyoq6urocPnw4o6OjKRKJOHv2bCopKQkfvf8ily5d4vDhw3nnzh2GhITw48ePco0DRYLT4gsALlq0iCT5+vVrocEmy1ViampalObliKioKG7atEnu3tPW1i5qsxRkwJ9//imEyP7666+C4zNlyhTq6Ohw4cKFgkPUtWtXXr16lZ06daJIJGKzZs1Yvnx5uUzk3759o4uLC62srPJF3VAkEnHQoEHCpF6ZfVu3bmXVqlW5fv16LliwQO5eGzBgAMnUicc+Pj48cuQIt23bxnPnzjEuLk4oe+7cuULYaIcOHTh9+nTa2NjQ2tqaNjY2tLGxYffu3dmpUydu2bJF2M/JyYmdOnXKUeNAIpFQT0+Pp0+fzvM5KelERUUJ4WovXrzgqlWruGDBAk6dOpVTpkzhb7/9xr///pvh4eHZLrNnz55csmQJdXR02L9/f966dYtk+o4vLy8vTp06lfr6+uzSpUu+HpeCkkVKSgpv377Nly9fslmzZrS0tGSzZs2YnJzMlStX0tXVlXv37qW3t3e6fadOnUodHZ1CbW+eOHGCT58+zXQbqVTK2bNn08PDg3///TdPnDiRozBfGZcuXcpXddrMUDg+3yH7SKmoqAgftQkTJrBnz548cOBAodhQkkg71wcAP3/+zJCQEOHvvXv3UlNTM9fKICWRkhILHhQUlGFDKu31K+4MHTqU/fv3F+zt3r07Dx48yClTpgjLzp07V9RmKkjDsmXLhGuTtpHo7+/P58+fCyMjMtW2kydPCh/fz58/EwATEhLkyjx//jzLlSsnl9wzJ4hEIm7evJlLlizhqlWrePbsWZYqVYq6urpCh8Dp06dpZWVFAAwLC6NIJKJIJKKPjw8BsEyZMqxSpQqfP3+eLx/wFi1asFu3bhw8eDD19PQYHR2dZSMkI6pXr05TU1OeP38+zzaVRHr16sXOnTuzc+fO7NevH21sbASJ/rzw4cMH3rhxgyEhIdTX16exsTHr1KnDnj17MioqiitXruScOXO4cOFCikQiYSQps8SPCv47tGzZUngPLl26VFBllUqldHd359KlS+W2f/v2LQHw1atXhWajRCKhkZFRptucPHmSnp6ehWRR/qBwfP4lISGBbdu2pY6OjlxDPj9ekD8zaeWP1dXVhbCotOdQFiJSvnx5Llu2rIgtLnjq169f1A7/PycAACAASURBVCZkC4lEQgC8efMm//zzT5Kks7Mz58yZQz09vWLv+Hz48IEAqKury/v378s5nNWqVeOePXs4a9YsAmCFChWK0FIFaZkxY4bwbjAwMMgwNDRtR4m3tzcB0NLSkitXriQAvn79Wm77iIgI7t69mw0bNsxWx8Pjx485fvx49uzZk8bGxrS3t2elSpVoa2vLMWPGEAAlEgmfPn3KPn36ZCvcs1OnTunsygvXrl3jjh078lRGdHQ07969y69fv1JFRaXEdMrkJ5MmTaKysnKhfMutrKw4d+5c9u7dO8ORtujoaFpbW3PdunUFbouC9Gzfvp0LFy7k4sWLOXfuXFpbW3PhwoUcPHgwZ82axf379/P58+eF1knboEEDHj58mIaGhunycQUGBlJZWZlt2rShlZUVmzZtWiTf5YMHD/5wXWxsLAGwf//+hWhR3vnPOj6yj5qGhoagN16jRg3Gx8cXC+WqksTz58+Fhkzt2rWF5du2bUs35+fw4cOUSCQ8efJkEVqsgExViJKFu1WvXp1du3alVCrl3r17uXv3bgKQCykqqcicbgXFh7/++ivDUR8Za9asYWhoKMnUcAsANDExIclMwyjU1dU5ZswYrlixIlPFpPbt23Pp0qX88uWLsGz8+PE5CnVKS2hoKLt3756rfTOjU6dOedp/xIgRHDNmDGfNmiU39+i/Qnx8PM3MzDhmzBhqa2vz77//LmqTSJIPHjzgvHnzitqM/wyPHz/m6NGj6e3tnanz7+3tTRsbG06bNo19+vQp0tG5mJgYli1blgMGDBBGf2R5dQqTI0eOpFs2ZMgQAqCnpycvXrzIoUOHFpo948ePF74dXl5ecqHE2eWndXwWLVokl/Rt69atvH37NslUuVJzc3Pev3+fwcHBTEhIKLTYwp+VtIk004YEbtiw4YfCBz87uXkgC5uIiAhqaGgwLi6Ox44d45s3b3j//n3Onz//p7hOdnZ2P8Vx/Ex8+fJF7j2QdoK4VCrl69ev2bdvX2FZYmIiIyIiWKNGjSzLTtuo2bt3b7pk0WTqPb9582a5ZQsXLmTLli1zczgCq1evzvMIjYy3b99yypQpcvN8coNIJGKHDh0YEhJCFxcXbty4kVOnThWSsP7sBAUFsXfv3kVtRobcvn2bK1asKGoz/hMcPnyYU6ZM4cqVK7O9z8aNGzlq1KgCtCprTpw4wcmTJ8u9Bwr7W/bp0ydeu3ZNblnLli3p5ORUqHbIkEqlDAoKoqWlJbW0tOQ6dN68eZOtztoS5/jEx8czOTmZtra2vHTpktAz3ahRI2ppafH3339P18Bu2LAhz549m6sJVwpyxo/UOSZPniynztS7d+98DQspjrx48YLx8fFFbUaWPHv2jLq6ujx06BDJ1BAbDQ0NVq9eXW4EryQilUoFZa5Lly4VtTkKSOE98PTpU4pEIk6YMIENGjRg9erVqa+vz86dOwtKWkuWLBHUybL7LMl6RXV1ddOtO3v2LCdPnizX0TVjxgzq6+vnuZETFRXFPn365KkMGS9fvhTC/fbv3/9/7J15XIz7F8c/U1oQynJliezZKdmXyJpUruImsrddUimSpcjSyr2oS8hasmVJWbukrqtkz5ZIirRrb6aZOb8/0vNrtE2ZlGver9e8mnme85zveZ6e7Xy/53sOWVlZka2tLS1fvpycnJwoPDy82qxJc+bMoeXLl9OQIUNo0qRJ5O3tTRcuXKDw8HDS0ND4zyc9sLa2prlz59KxY8fq25RKOX/+PO3atau+zRCK/Px80tPTI2trazpz5kx9m1NjgoKCaM6cOTXaZtSoUTWqgydq2Gw2KSsr06FDh5hl9dGJV7Yzu6ioiBYtWlTt/aeu4fF45UKQeTwec2+Pjo4mABQWFkZLliwhPp9P9+/fp+PHj/94jo+lpSX99ttvBJSkGy19iEpJSdXrCSqmasrOBQLw003wLBtS01DZtm0bnT59mkJCQpj/U3FxcX2bVSNev35NioqK1KpVK1q4cCH16tWL2rVrRwDo8+fP9W2eGCLq3r17uc6pFStWVBjypqWlxchISkpSYGAgGRoa0r59+yrUXVRUxMiXhsoRlThDDg4OBIAJYwkICCAej0eNGzemqKiob96vwsJCGjhwoMhCpSUlJWncuHF05MgRgZGst2/f0q5du0hXV5dUVFRIVVWVJk+eTDo6OqSnp0f6+vqkra1dZVbGvXv30pgxY0RipyjQ1dWlQYMGkYqKCk2dOpV0dXWpX79+9Ouvv9b6JTslJYWmT59OCxcurLfeaWHw9PQs16Pe0Dhz5gzp6+sz11RQUBCTrMHKyors7e0pNDS0nq2sHDs7u1o5mIWFhTRy5Mg6sKh68vPzSVNTk96/f0/du3ennJwcIipxfEpT4n8vStPi3759m+zt7X+IDt3Pnz9TWloasdlsOnz4MAEgY2Pj0nIFP5bjs3jx4ro5SmLqjFKvvKCgQOBlZ/DgwZSRkUEbNmyggoKCHyI07L8Ml8slNzc3YrFYxOVyydLSsr5NEppXr14JjPA+fvyYAND+/fvFoW4NjIKCArp79y5NmTJFaCdh5MiRNHv2bNqwYYNAr21pGFxZduzYQTNmzCB3d3eytrYmY2NjcnNzo5EjR1K/fv3ot99+o6dPn9L69eupU6dOJCkpKZL9GjhwIKmqqtLw4cNFoi80NJRUVFSESkjA4/GouLiYEhMTicfj0d69e5n0yhVRWFhIWlpaZGRk9F3j88uSm5tLRkZGZGNjQ+fPn69UzsbGhgwMDCg7O5tJUMBms2n16tU0f/58cnZ2pqVLl5KBgQH5+/sz25UeNx6PR7/99huTJbAhYm5uThERETRixAgaOnQo878rLi6mffv2kbm5OcXGxoqsvZo659WVNmCz2aSvr98gO8pu3rwpUPurpgwaNEgkHSM1xdjYmGm3qKiIlixZQkQl9YDatm37XWwovbcGBATQ1KlTf+hRYj6fz0S1VOX4sErWNwyGDBlC0dHR9W2GmFrw4sULXL16FdbW1lXKHTlyBFpaWmjduvV3skzMf4GxY8ciPDwcgwcPxoMHDwAALVu2xG+//QYjIyOMHj0akydPxtWrV+vZUjE1pbi4GEpKSnBxccFvv/0GAwMDzJw5E0FBQTh//jx69eqFV69eoXXr1vDw8EBWVhaUlJQwduxYrFmzBrt378adO3fg5+eH5ORkHDt2DL/88gujf+3atfDw8EBaWhrk5eVrZFtRURFOnTqF/fv3o0OHDhg0aBBCQ0OhqqqK58+f4+nTpzh8+DAGDBiAli1b1mr/O3TogGfPntXYtpowadIk/PHHH2jVqhUUFRXB4XDA5/MhKysr0na4XC7S09OhqKgIMzMzSEtLQ19fH2PHjq122/j4eAwcOBDa2tpo3bo1CgoKMGvWLGhqauLhw4eQkpKCqqoqbGxsICUlhQ8fPiAvLw+9e/cGi8VC8+bNYW9vL9L9ESV5eXkwMTHBgQMHUFBQgA0bNkBCQgJNmzbFiBEjoKmpCRcXF/Tp0wfz5s2rsf4XL14gPj4ep06dQosWLRAXF4eioiIMGzYMLBYLPXv2xIIFCyrdfvHixZg3bx4mTJhQqYyPjw9SU1Oxfv36cusePHiAVq1aoUOHDmjUqFGN7a8t79+/x8qVK3Hu3Lla6+Dz+Zg3bx78/f1FaFn1mJiYwMfHBwDw8OFDSEpKYsCAAQAAf39/zJ07t85tOHDgAFavXg1VVVUcOHAAysrKdd7m94DFYt0noiEVrhM7PmJEycOHD6GqqgoAOH36NNq2bQtnZ2fcunULxcXFAIC7d+8iODgYmzdvrk9TxXxHXrx4gTlz5mDChAlo3LgxlJSUkJ6ejuLiYvj7+0NJSQlhYWFo0aIFsrOzIScnh7y8PAEdr1+/Rvfu3QEACQkJePToEYYOHYr27dtj6tSpMDExgZ6eHlgsVn3sophasHDhQhw5ckRgmZSUFPNiLiEhUem2eXl5UFZWRnp6OrMsPj4eZmZmyMnJQbdu3XD8+HEkJCSge/fucHd3h5WVldC2NW3aFFwuF25ubjA3N4e0tHQ5GQcHB4SEhDAvmStWrMD27duFciiePXuGFStWYNy4cXB0dBTartrw5s0bHDlyBK9fv0ZmZiYGDBiAqKgo6OjooF+/fpgyZYpI2pk9ezY6duyI/v3749GjR1izZg3at28vEt1fw+FwKvyf/OjY2dmBw+HAzMwMvXv3rlb+xYsXuHz5MgIDA7Fu3Tr0798fHTt2LCe3bt06yMvLY9GiRfj48SPy8/PRt29fNG/eHBwOB97e3mjfvj1mz55dZXuhoaEICQkBl8uFtLQ0OBwOmjRpgu7duyMvLw8JCQmQkZFB48aNMX/+fHTu3LnK6/hrIiMjERAQAFlZWbDZbKxYsQJt2rRBdHQ0xo4dK6CLz+fDyckJL168wOnTp4VuoyK8vb1RXFyMlStXfpOemmBqaoo9e/ZASkoKeXl5OH/+POP0nj17FqNGjYKiomKdtb9t2zacPXsWs2bNwtq1a/9Tz06x4yPmu8Ln89G3b1+8fPkSABAUFAQtLS30798fnz59QmZmJgDA2dm5wp4jMf8tOBwONDQ0cP36dTRt2pRZnpOTgzlz5qB79+6YOHEiMjIyoK6ujv79+1epj4ggISGBwsJCDBkyBC9evGBekj09PZlRx9evX6NTp07/yZej/wrp6emIiYnB0KFD0aRJE4F1XC4Xr169gqenJzQ0NGBsbAwA8PLygrS0NKSkpDB79uxy2wGAk5MTYmJiwGKx8OrVK6ioqKC4uLhGvcJ8Ph9t27ZFWlqaUPIFBQXYvn07jh49CnNzc/To0QMzZ86s8KXv+vXr2LlzJ86fP19v5yefz8e6deuQkZGBrKwssFgs9OvXD3PmzEGvXr1qrG/Tpk3o3r07jIyM4OnpiQ8fPmDjxo11OpL1X+Xz58+YP38+DAwMoKysDDMzM5w6dQr9+vUDUOL0Z2RkwMfHBzdu3MBff/3FdDhWBp/Px4sXL3DmzBm0aNECTZo0waNHj9CoUSPk5ubCwMAAWlpaItuHBw8e4MaNG7h27RouXbpUZWcAn8/HmzdvsGfPHqioqMDU1BQSEhLg8/lwdXVFYWEhVFRUsG/fPowaNQp9+/bFP//8g9TUVGhqamLJkiXffB0VFBRg7ty5WLp0KT5+/IiFCxfW+bXp7u4OOzs7AGDuT6WOJxHh2LFjzH1PlHz48AFPnz6FqqoqpKWl/5PXqNjxEVMvcLlcSElJAQD69u2LLVu2YP369Xj37h0kJSWRk5MDABg2bBgiIyNx5MiROrnIGxLXr1/Htm3bcPPmzfo2pc7ZunUrCgoKUFhYiLVr1yI+Ph6JiYnIyclBs2bN0KJFC0yYMAEvXrxAcHAwOnbsyPRIW1paMqM7X6Ouro7o6GhwuVzk5ORAQUEBvXv3ZhztUrp27QozMzPmwSKm4cPhcHDt2jVoa2tj1qxZSEhIQNu2bTFmzBgoKioiMzMTFy5cQFhYmFD6MjMz4e7ujsTERISEhGDMmDHo1asX7O3thQpNO3jwIIKCgrBx48ZqXywB4MKFC7hy5QqSk5PRunVrXLp0CSoqKmCxWJCTk2N6dt+/f48NGzbAyMhIqP34HnA4HFhYWEBTUxOGhoY13n7lypVYvnw5evToUQfW/XykpqYiNjYWly9fhqGhIebOnYvZs2cjLCwMCgoKaN68ORYtWoRRo0bVt6lV8urVK3h7e6Np06YoKiqCjIwMioqKIC8vj+zsbMjKyoKIoKioCC0trUrPn1WrVmHt2rVo3bo1IiIi0LZtW5Gfa5mZmQgJCQGfz0dERARSU1NhYmIiUoewFA6HA21tbVy7dg0A8O+//0JWVhZ9+vSBrKwsxo8fj0aNGuHixYsiD0ktLi7GzJkz4efnhxYtWohUd0NB7PiIqVfWrl0LFxcXACXhHT169GB6UiQlJTFixAgMGzYMjRs3rja8pSry8vIgJyfH/K6JrlJZPp8PAOWG04X9XV2bBQUFGDhwIG7dugVDQ0Ooq6vj1atXUFdXr/V+NzQ+ffqE0aNHY+7cuVBTU0N+fj4kJSWhrq6Orl27MnJnz56Fvr4+Su9BfD4fL1++xLt37zBixAgoKCgI6M3Ly8O6deuQn5+PLl26YN26dQLrk5OT8enTJwwePBhKSkpISkqCn58fBg4ciL59+9b9jov5Jnbv3o2tW7ciJSUFQMm9Yty4cUhPT0dycvI3h3zw+XzExMQgNjYWlpaWCAgIEGruCYfDwdKlSxETE4Nz585h/vz5kJOTA5/Ph4KCArhcLiQlJdGuXTs0a9aswhDe0vsKAFy7dg22trZYtWoVFi1a9E37JErOnDkDAwMD8Hi8Gt+LuFwulixZgp07d9Z6rpOYynF3d4eEhAR69+4NU1NTJCYm1rdJ3wSfz0deXh6aN28ulHx0dDQuXrxYL+HxmzdvRmRkJP766y906tRJZHq3bduGhIQE7Nu3D0DJ/9ja2hrBwcEYP348mjdvjvv370NfXx/x8fEiaTMnJwdv377FunXr4OPjgw4dOohEb0OkKsen3jO5lf3UtICpmB+LgoICGjJkCNna2v50hU6/JiMjgw4fPky2trZ0+PBhGjZsGE2fPp1u3rxJKSkpFBoaWi697fr16ykkJKQera6e5ORkWrp0Keno6NDWrVspJSVFYP2nT5+ooKCAioqKyMXFhebNmye07v3791OHDh1o/Pjx1co6Ojoy59b3Tgsqpma4u7uTtLQ0AaCzZ8/SwYMHycvLi0xNTalJkya0a9cukaaKv3v3Lm3fvl0o2dLsaRMnTqSVK1eSsbFxubTEjx49Ig0NjXLbJiQkkK+vL+nq6pKxsTH99ttvpKenR0pKSuTo6FhlJrfnz5+TvLw8TZs2jczMzEhPT49OnjxZYTpwUfHy5Uvq2bNnrbYNDQ2luXPnMhnZxIgGLy8vsrOzI2dnZ+Z82bZtG+nr69O9e/fq2brvQ1paGs2aNUuozId1xfnz58nKyqrCdTExMWRlZUVLly4V2sa8vDxydHQUqFFz+fJlioiIoICAAAHZrzNafgsZGRki09XQgTirm5iGgqmpKdavX48nT57g7NmzOHToEADUqpfxvwSfzweHw4GLiwtYLBbk5eXx9u1bSEpKIjMzE/3798eKFSsQHByMiIgING3aFFZWVg2qd7W4uBgTJ05Ep06d4Ovry4Q5AkBWVhY0NDTw5s0bTJ8+Hf/++y8yMjJw6tQpTJ8+vZyuuLi4cqFubdq0QVRUFB4/foxu3bpBQUEBioqKiIuLQ+/evdG3b18cP34cffr0Qe/evfH27Vu0adMGxcXFyMrKqvP9F1M78vLyYG5ujuPHj0NWVhZGRkYwNDSEpqZmnbRnYmKCvXv3Yu/evUhOToajo2OFWag+ffqE9PR0LFq0CPfu3atUX0hICObNmwcjIyOMHDkSPB4Pjo6O0NLSQr9+/TBr1iyBLJYpKSkYPnw4Pn36hOnTp6NZs2aQk5MDl8tlQuLy8/Mxd+5cTJ8+HZmZmfj06RPWr1+P+Ph4aGtrY9WqVSI7HgkJCXBxcUGTJk1w79493L59u1Z6Pn/+DFVVVWzYsAH9+/fHkCEVd7aKER47Ozu4u7uXW87hcGBvb4/CwkIkJyfDwMCgQYVNihIXFxfk5OSUvLCyWOjRoweePn2K4uJiSEhIYMqUKXUSilaW9+/fw8nJCQsXLkT37t3x8uVL+Pr6QkFBAUpKSrCwsMDvv/+O3bt3VzuKFR8fj9u3b2Pu3LkCz8i0tDTs27cPurq61c5zrQ3x8fH4559/apUx8EdEHOompsEQHx+PmJgYzJgxA1ZWVvjzzz8BAA3pPPwRyMzMxK5du5Cfn4/x48fX+Y2/OiIjI+Hq6oo+ffogKysL2traePz4MebMmYMuXboIyJqamsLX1xdcLrfC//vMmTNx6dIlJgtgafjg4MGDERcXB2lpaSZBhjBISUnhzZs3UFJS+radFCMSCgqAz5+B5GQgMRH48KHke1oaDwUFwI0bM/Dp02UAwKBBrhg5cjXk5YHWrYGOHQElJaBDB0BeHpCTA2qSiEhJSQk8Hg/jx49HQEAAunbtilGjRiE0NBQZGRno3bs3mjdvjpYtW6KwsBDt27fH6dOnkZ2dXaG+0nCdixcvQkNDA48fP4a0tDQGDhxY4cTo9PR0aGlpwc/Pr9z8hCdPnkBZWVngxencuXOwsLDAhw8fICEhgQsXLmDNmjV48uSJSCZe//HHH4iMjISdnR0GDBjwzWmIQ0ND0apVK1y4cAHy8vLfNUPWjwyHw4GEhES5429jY4MdO3ZUu/2GDRswevRokWXna2j8888/UFNTg6ysLK5fv47u3bszzxVPT088ePAADg4OdRrSHBkZidevX+Pt27fo1asXhg8fjs6dOwMo6fwIDAzEjh07qnR88vLysH///grLfvj5+UFPTw/Hjh3D4sWLRZpYISwsDCkpKdDR0RH5fKGGitjxEdOgYLFYCAsLQ0REBNatW4d9+/bBxMSkvs36YTl79izu3LmDPn36YMmSJd+9fS0tLcTGxsLJyQnPnj3DtGnTcPPmTcyYMQMuLi44deqUgDyHw4GMjAx0dXWhp6cHOTk56OvrM+uPHDkCAwMDSEpKYtmyZViwYEGVvf9jx45F69atmYxdAQEBiIiIwJ49e2Bvbw8XFxexY10HqKsDdXO7JgAfADwAoPvltyiYB2AGHj2ag4ED/7/U398fW7duRbt27TBkyBA0btwYnz9/xpUrV3DlyhXm5eZr+Hw+xo8fj6KiIkRGRgplgZqaGq5evVqjOmZubm7w8PBAamoqAEBfXx/dunWDq6srI5OSkoJ79+5BW1u7Wn0pKSlwd3dH48aNER0djVu3bqGoqAinT58WuA6/le3bt2PUqFHMPKro6GhER0ejqKgIAKCrq4usrCyhkkb817GwsICMjAzzUhoXF4dffvkFrVq1EmpeC5/Px++//46FCxdi2LBhdW1ug6CoqAjx8fHg8/lo06YNRo8ejdjY2HqxZd68eTh+/HiVMhwOB76+vli0aBFkZGTKrT9z5gwmTZqEwsJC/P777/Dz8/tmJ6W4uBg6Ojro378/3NzcvknXj4Z4jo+YBgUAcnd3r28z/nPs3LmTli1bVmU1d1Hx77//kpmZGdnb29PRo0eJz+eTk5MTXblyRUBu/fr1FW6vpaVVbp6XnJwcLV26lLy8vIjH49GUKVPIx8eHjhw5UqUtcXFx5OfnR0lJSUzM9Lt37+jAgQM0depUun//vmh2WgxDXh4RUNefVwQcIMCOgPRv1DWFgKkEJBBQMndn06ZNREQ0ceJEunLlCklISJCFhQXdvXuXiIiys7PJ2tqabG1tSVtbmwwNDWnZsmU0adIksrS0JGNjY2rbti0NHTqUcnNzqz1murq6tGvXrlodb2VlZQoLC6Ply5dTz549CQDFxMSQoaEhbdy4kbmGkpOTy21bXFxMx44dI1dXVwJAs2fPpsLCQjp48CCNGzeOzM3Na2VTdaioqNAvv/xClpaWtGjRIvLx8aHCwkLKz8+n48eP040bN8jIyIj++OOPOmn/RyE5OZkcHR0Flr18+bLGc1p4PB4tWbJEhJY1PGJjY8nf358WLFhA5ubmtHPnTnJ0dCQ1NTXy8PCoF5vevn0r1DXk5eVF+fn5la4/evQohYSEkLW1NQGgLVu21NqmhIQE8vf3p+LiYoqJiam1nh8ZVDHHp96dnbIfsePzczBo0CACQAUFBfVtyn+OwsJC0tfXJ2dn5zrR//LlS5o+fTp5e3tTcXGxwLoxY8aUk7e3ty8nV4qJiQkBoMaNGws4QO/evaPx48cLLOvRo0ed7I+Y2lP3jk/pZ/2X8+BbdMgTEEHAcJKQcCVNTU2aPn06qaio0JIlS8jR0bHKa6Zr164UFRXFvLgTEY0YMYJu3rxJMTEx1Lt3b/L09CSiEofJ2dmZ9PX1afny5dSrVy8aPXo0ubq61vpYKygoUH5+Po0ZM4bi4uLo77//pj///JOOHTtGHA6HWrRoQQBowoQJ1K5dOwJARUVFREQkKytb4bXJ4XAIAK1cubLWdlXFvn376NdffyVtbW26detWhTJz5syh169f10n7Pwq2trYiSVrx9u1bWr58uQgsapjs3LmTNm3aRKdPny73TKnPxAe6urp048aNKmUiIiIq7ZBks9n0/Plz2r17N/n5+RER0bFjx+jSpUs1tiUnJ4eUlZVp6dKlNd72v4bY8RHToFi3bt039WaIqR5bW1tau3YtpaWliUzn0qVLSU1NrcKH9PLly2n//v3lljs4OJTrheTxeHTlyhUCQPLy8jR58uRyoz9ff0SZ1UuMaPh+jg99OQ8uf6OONAKUyNMzihITE4mopBe2smvk6dOnBICaN2/OOOg2Njakra1Nbdu2pQMHDjCyPB6PgoKCyNramubPn09du3ZlXs5yc3Opc+fO3/Ry1rVrV1JTU6PHjx9TUFAQAaCTJ0+Wk9u8eTMtW7aMDAwMmPYOHDhAMTExlJSURGFhYRQbG0tcLpecnZ3p06dPtbapMhYvXkyHDx+mNWvWVKo/IyODUlNTCQBxOByh9H748IF27txJrq6u9fqiK0p4PB7p6uqKZH/MzMyqHFH40cjOzqaXL19SRkYGbd++nZycnOrbpHK4ubmRtrZ2lTJXrlyhf/75p9L1SUlJxOFwKDw8XOhroZSCggLicDhkZmZGmZmZBIBOnDhRIx3/VapyfMRzfMR8d37//XcYGxv/NLHI9UVeXh6WL1+Ow4cP11oHl8uFpqYmoqKi0LdvX+jr60NJSQlSUlKQkJDAtWvXmIKk+/fvr1DH7Nmzcfr0abRs2RLKysowMTFBx44dMX/+fCbbmp2dHdzc3FBQUICmTZsy2zak+5MYQWqSVODb8QVgAeA0gBm11LEPwGkQqCUaTwAAIABJREFU3RBKmvVlB9lsNgYNGoQuXbogJCQEAHDnzh3cunULr1+/hrS0NBITE9GiRQtISUkhPj4eUlJSyM7ORunz7Pbt21i1ahWMjIxgZWVVY8vj4+Ph7OyMrKwsyMjI4M6dO3j//n05ue3bt8PBwQFHjx7F/PnzmeUzZ87Ew4cPkZycDA6Hg5EjR8Ld3R0jR46ssS1VcfHiRbBYLMyYIfg/unPnDuTk5NC6dWv4+flh0KBBkJWVRWBgILZt24bGjRuX0/Xs2TMEBASAx+MBAFq1agUDAwPk5OTg4MGD6NatG5YvXy5S++sSPp+PP/74A+/evQNQMv+isLAQiYmJCAoKQpMmTb5Jv4+PDx4/fgxZWVm0aNECioqKaNasGXr06NGgM+z9+++/uHTpErS1tTFixAgAJUVPt2/fjv79+4PD4UBHR6fea7Hx+Xzcu3cP9vb2MDExQa9evbB+/XrmnvA1ubm5OHbsGLS0tKCsrFypXg8PD7BYLDRt2hSNGjXCggULBLK9VcbTp08xY8YMJCQkYP78+Thy5AhzzxIjnuMjpoHxXx6Ob2h4eHgwvds1xcvLiywsLGjbtm20b98+unHjBkVERNC9e/eYofvK4oeLioroxIkTNGzYMGbU5tdff6XTp08TAIqKiiIiqrCm07Bhw2q9v2K+H99/xOc9Aexv0PGcAOHPrZCQECp5RBLl5+cLnKOxsbG0YsWKcqMPPB6PeDweDR48mEaPHi2g78iRI9StWzdydnYmQ0NDKiwsrPExLx1JyczMrFKuefPmVFxcTJ6enrRlyxY6fPgwpaWlMeHFR48eJUNDQzp9+nSNbagMOzs7CgwMrHDdtm3baObMmaSurk5bt24VqF9SGba2tpWGyRKV1GMyMzOjhw8f1trm70lYWBipqqqSr69vnbbD4/EoNzeXYmJi6M6dO+Tr60uWlpYVjsjXN4WFhcz7wN69e8ne3p5sbGzIxMSkwY3q2djYkIWFBRUXF5Ouri4tXLiw0hE2NptNBgYGlJWVJZRuPp9PJ0+epLy8PHJxcaGcnJwK5fLy8qi4uJisrKyoQ4cOFBwc3OCOU0MB4lA3MQ2Jn30y6/ckISGBmXsgLB8+fCBTU9MKQ2mqIzs7m86ePSvwkjhmzBjKy8ujp0+fkoyMDDMR3NnZmZG5evVqlXq5XG6NbRFTt2hqfk/H57CI9GjQihUrKCMjgywtLWnJkiW0dOlS+vPPP8uFmWRmZpKbm5vAMl9fX+acNTc3Jx0dnQoTG9y5c4f09fUrdG6uXLlCXbp0obNnz1Z6bHNzc+natWvk5uZG2dnZRFTi/AlbtNLX15c8PDyqDWU7c+YM7dmzh5lb8C3cuHGDzpw5U+G67Oxs2r9/PwUGBlJoaKhQjk9liVHKwuPxyMPDg2xtbSk4OLjGNn9vrl27JlJnsyZcuXKFLC0tKz0v6wN/f/9qk9c0FNhsNjk4OBBRicNWel1+TWJiIu3YsYPy8vKE1n3nzh2m0HZxcTEdP36chg4dyiSB8vPzo+vXrzP3nhMnTjBz+MRUTFWOjzjUTcx3x8vLC7///nt9m/HT4ODggG3btlW47tOnTwKpeFksFi5evAhvb+8a1xEoO8wuJSWF/fv3w8jISKA2BYvFwqRJk3D9+nUAQH5+frUhHufOnUN8fDxsbGxqZI+YuuXlS6B3b2GlCcBIAHcBJAFoDYAD4BmA4dVs+xHAQwDlC91W3V5FYR/v0LmzBiZNmoQ1a9YwRXIvX76My5cvY9euXQLSRkZG6NevH9TU1DB58mQAQEZGBpOO+uLFizh37hyWLVvGhOkAJWEx7dq1w+PHj6GoqCig8/379/j999+RlJSESZMmgcvlQkpKCoWFhejatSvi4+MhIyODYcOGQUVFBb6+vkhPT0dQUBAyMjLqJJzl/v37CA4Ohp2dHYgIsrKytSooHRYWhr179+LEiRMVrg8ICMDUqVMhLy9fra4NGzbA2dlZqHaLiorg4eGBnj17Ql9fHy9evMDdu3fRpEkTdOjQAcnJybh//z5cXFzqtVA2n8/HypUrsXv37nqzITIyEqdOnYKnp2e92VAWIyMjaGtrw9DQsL5NqRYzMzPs3bu30vWxsbHo1asXuFwuJCUlhdZ78OBBTJ48WaDWXHp6Og4ePAg+n4/Hjx8jKioKx48fR0xMDOzt7WtUy+5npKpQt2+rViZGTA358OEDli9fLnZ8vhOfP3+u9EWptNaNiYkJJCQkwOfzAZTEHNfE6SkuLoa5uTk6d+7MxK9XxubNm+Ho6AgrKyvs3LlTKP0zZ84U2hYx3w8VFWGkCgGoAXjx5TcbgD6A0gd8JgB/AEUA+AAOflneA8AEAHIAjgIIFqKtPAAuALgA2gCwBTAYwJYvuqYDkMGbN2/KvZRMmzYN9+/fx8OHDzF48GBmuZ+fHwDg/PnzOH36NAwMDNCqVSvw+Xzs27cPOjo6AEqcc1dXV5iYmCApKQkqKipo0aIFOBwO+Hw+PDw8YGNjg0aNGqFTp05QVFTEwoULMWvWLOa6A4AXL15ASUlJoAiip6cnNm7cCEtLyzqL4VdTU0PPnj2xYMEC5OTkoGvXrigqKoKioiKkpaXRpUsXzJo1C3JyclXqkZCQwIABAypdb2BggL/++gsLFy6sVldNkJWVxfr163H8+HFs2LABXbp0wfDhw5Gfn4+kpCS0a9cO5ubmMDExgY+Pzzc7P6mpqfDz88P8+fNrVJNJQkICSUlJ4HA4Ii1QWROGDRuGGzdu4NGjRxg0aFC92AAAf//9Ny5fvowpU6b8EE4PUOKMsFgs9OzZE69evWKW8/l8+Pj44OXLl2Cz2UI7Pfb29ujXrx/YbHa5AtutW7fGmjVrAADOzs44efIkPDw84ODgIHZ6vhGx4yPmu3LlyhUUFhbWtxk/DRs2bMDWrVsrXKegoIDs7GxMmDDhm9pISkpieqaEsWfDhg3f1J6YHwlTlDg9PAClL5sXK5DjfPl7oBId8wG0RYlDowkgCCXOkzWA0hGVZgDeAej85feqL3q3oKR4qTnmzNmKsu8khYWFUFZWxrlz57Bx40YEBAQgLCwMrVq1ErBAT09PoAAgi8WClpYWBg4ciCdPniA7OxumpqZYsWIFdHV1ERcXB3l5eSxbtgxPnjyBsrIyLly4AFtbW8ycORNpaWlIT08HAIGX8IomcGdnZ4PFYsHJyamCYyM6mjVrhlOnTiE8PBxRUVGQkZGBvr4+uFwu7t+/D0tLS7Ru3RqrV6/GlStXICsrCx0dHYEXeBUVFabQakVISkpi6tSp8PPzg7y8PFq2bIlJkyYJbWNqaipu3ryJOXPmVLh+3rx55ZaVTaKzfPlyTJs2DVevXhWqvc+fP8PV1RWNGjXCoEGDMGPGDISGhuLcuXMwNjaGp6cnioqKwOPxBEa2paSkUFxcDCJCo0aNMGbMGOjo6MDHxwcJCQn1OuoEAGvXroWFhQVGjBiB/Px8tGjRAoMGDULv3r0Z2/h8PvOCXRPnThh8fHyQmpoKd3d3keoVNXl5eRgwYAAmT56Mhw8fIioqCkDJyA6LxYKamhoUFRXRqlUr2Nvbw8zMTGjd0dHRaN68OUaNGoXmzZuXhGCV6di4e/cuwsLCkJmZCTc3N7x48QIqwvU2iakGcaibmO/KjRs30KZNGwwsWzpdTJ3g4uKCjIwM5uGSkJCAK1euICEhAVwuF506dYKZmZnAA7s2lN6sG9K9RMz3ofoBiEsoycI2GYBwL5uVwweQA+AaAAUAPQH0+fJ3IIAIlIzs+FSqITcXKB1o8PT0hK2tLRwdHaGnpwdJSUn07NkTqqqqcHd3h5aWlsC2MTExCAgIgJOTE3PNxMXFoV27dsjLy0N+fj4sLS1x+fJlKCgoYPXq1fD390e7du1w4cIF5ObmokuXLrCyssKtW7dw+/ZtofaaxWIhOTm5XMhcXfP48WMkJydj6tSpzLJbt24hMDAQenp6SEhIQHh4OHr27Al7e3tGJiIiAnJyctWOJnC5XFhZWWHjxo04efIkUlNTYWpqio4dOwIoH+p28OBBmJubQ1dXF02bNsXIkSMxZswY9BY+3hIAmFGf6uDz+VBSUsK///6Lli1bIjIyEiEhIbhz5w6Cg4PRsmVLodrj8/lwdXXFx48fcfPmTcTExNTI3roiLy8PT58+RcuWLZGTk4OHDx8iISFBQEZGRgaysrL4/PkzuFwuRo8ezYxyVsWtW7dw+fJlxvFjsVjgcrkASp4T48ePx7Rp0+pkv0SFj48Pdu7cCU9PT0yfXhJmO2nSJAQGBoLL5aJRo0YIDw/H1KlTazwSGxkZiX/++QdsNhvBwcFYsmQJHjx4AA0NDUyfPh0XL15EfHw8M+IjpuaIQ93ENBj69u0Lb29vsePzHYiNjcWBAwdw8uRJREZGomPHjpg2bVqNXxSqIicnB0ePHoWxsTFYLBaOHDkCY2NjkekX86MzGUBHANIAmgCYgpK5N2yUjNrUpOdbAoA8gNllluWX+R6OikeM/k/Z6KrSF7LWrVtDQUEBnTuXjBQ9e/YMQUFBcHZ2hrm5OdPb3a9fP9jY2MDR0RHNmjWDtLQ0mjZtClNTUyYF+6VLlwAA7u7u2LhxIxITE5GVlYXOnTtj+PDh8PDwgLa2Nt68ecNcNxURGxsLd3d3EBH69u2LiRMnVvvCzOfzcfnyZcTExKBJkyaQlpYGl8vF5cuXsWLFCkyePLlGL2gDBw6Erq6uQPiqhoYGNDQ0mN+TJk3C6tWrMX36dJiamkJHRwejR49GcHAwkpKSoK2tXan+y5cvIz8/Hz4+PjAyMkKHDh3g4uKCNm3awNzcnLH1n3/+wZEjR6CgoIC8vDxwuVzIysri0aNHmDZtGh49eiTUnKFSZGVlsX37dqxdu7ZSmR07dsDb2xtycnIoLi6GnJwcNDU1oampKXQ7pUhISEBDQwNnzpzBL7/8UuPt6wo5OTmBeWnq6urVbnP06FGsW7cOHA4HjRs3Ru/evfHq1Sts3LgR8fHx8PHxARFhyJAh2LRpE2RlZetyF0TG69ev0aVLFzRq1AiWlpaQlJTE27dv8fz5c0hISGD16tUV7k9tnDciwtWrV5GUlIThw4dDQUEBs2bNwqJFi1BQUIDg4GCEhIR8UxkKMdVQWdaD+viIs7r9HKxdu7a+TfgpuHfvHtnb29O1a9dEqreoqIgKCwupdevWNHbsWIEMbsuWLRNpW2IaNvLywmRScyYgmYCXX/7mE3CAgHEiytT2/EsbXgTwqpQtC5fLZc7bikhMTCQ7OzsKDw+vMK1yVFQU6ejoVJqhrF27dnThwgU6e/YsrVmzRmBdfn4+qampkYODA2lra9OIESPIzMyM4uLi6ObNmyQtLS1Q+HfLli10/PhxJh11WfLy8sjNzY1MTU3p/v375ezh8/n0119/0R9//EF//PEHhYeHC5UCNygoiAYPHkzW1tY0evRoCggIEFj/6NEjsra2ptjYWNLT06O5c+eSnZ0d5ebmkpmZGe3atYtu375dqf63b98yWavK4uTkROHh4WRiYkIJCQnk6OhYacrqSZMmUWxsLBFRlamvv6Y0O1dZeDweOTg40KJFi2jevHk0aNAgysjIIDc3N7KyshJad1nOnz9PFhYW5OHhQREREbXS0VBhs9l09+5dunDhAtna2tKmTZtq9D9oKBw+fJj69+9PHTp0ID09PVJSUmKuDx8fH7p06ZJI2yssLKSPHz8y6fD79u1b6/NLTOXge2R1Y7FYkgCiAXwgIm0Wi9USwEkAyigJvJ5NRFlV6RCHuv0cODs7i+d5/IB4eXlh+fLlkJeXx+fPnwGUhNOtXr0ahw8fRmBgILy9vctN0hTz38XJCdi0qTqpbADjATz48vsjSsLfjgKobVHCTJTM4emLksAFSwgzelT6uMvLy8Ovv/6K4cOHw9nZGW3atKl0boq3tzfCwsKgpKSEbdu2CcxpefbsGQ4dOgQJCQmsXLkSHTp0YNaZm5vjr7/+wvv377Fq1SqYmpri7t27eP/+PT5//oyJEydiypQp6NChAy5evIjY2FgcOnQIs2bNQmhoKPbs2QN1dXUcP34cSUlJSEpKgpeXFzZv3gwWi4X8/Hz07dsXUVFR2LRpExQUFKrd/+vXr0NKSgrBwcHIzc1F3759ISMjg4KCAvD5fEhLSyMvLw8SEhIYPXq0QIFTS0tL/Pvvv1BXVweXy8WJEycwePBg9O/fH0QEOTk5jB49GpcuXcLmzZuhqKiIwMBATJgwodIRGT8/P+jq6pZLdODi4sIUNU1NTcXSpUvRpUuXctunpqbizz//RHFxMTIzM8Hn8+Hr61vtcYiOjsaFCxfA5/Nx69YtmJqaYseOHfDy8sKoUaOQnp4OTU1N9O7dG2w2G61bt8bbt2+xadMmqKqqVpqJksvlYtWqVcxom5SUlMDcMDF1D5vNxsGDB9GlS5dqR2R27NiBu3fvwt/fH40aNWLmNbVu3RocDgcWFhaYPn26yBPscLlcZGVloV27dpCTk0N2drY4VFzEfJcCpgBsUJKe59KX324A7L98twfgWp0O8YjPf5/U1FTq1q1bfZshpoaoqqoyvePNmzcnAMRms+vbLDH1TF6eMCMyN76cO2WXzfqGER7eF33JNd62lKtXrxIA+vDhA2VmZlY66kNUMvITFBRErq6uBIBWrVolUFeKz+fT3Llzyc3NjTQ1NZn6Hurq6ozMli1bSEdHh+7fv09EJaPe8+bNo4yMDAJAU6ZMITU1Nbpz5w45ODhQp06dCAAtXryYOnToQMuXL6e0tDTmOjQzMxPJ/6+oqIgyMjIEfldVH2TmzJkCv/v161flfYDH49G+ffvIz8+vwlGbvXv3irQAo7+/Px04cKBG2wQHB9P8+fPJ0tKSrK2taeHChWRlZUVt2rShhIQEIiqpbTZw4EBq1aoV8z8kIrp58ybt3LmTjIyM6N27d2RkZERxcXEi2x8xNSMrK4sA0KFDh8jc3JwmT55cTqZ0ZE9HR4e2bdtWoR4+n0+//fYb6evrVzjK+q3weDxauXIlffjwgaKiosjExETgOhTz7aCKER+RpBZhsVgdUZIrtGyAtS6AI1++HwGgJ4q2xPzYNGrUCObm5uLejR+MlStXAijpKCntnaqvdKxiGg5fprZUw1OUJCYoxQnAt8wzswGQiP9ncysl78tnO4BeX75XzOTJkzFy5Ei0b98eCgoKFWYDK6Vjx47Q1tbG6tWrQUQYOnQoVq1ahaCgIADApk2bYGxsDD6fjxYtWsDCwgIAMHz4cKxZswbnzp1DWFgYzp07B1VVVQAAh8PBkCFDmOxxsrKyCAkJwcWLF3H79m2kpKRAR0cH48ePh46ODqSkpHDhwgUsW7YMPB4Pf/31V62O3NfIyMgITNKXkZGBjIxMpfJEhM2bN+Pvv/8GALi6uqJHjx6VyktISCAtLQ0JCQk4fPhwufv+x48fcffuXeTlVf6/qgmGhoa4f/++UBkmS9HS0sKBAwewd+9enD9/nsmwxeFw0LlzZ8yYMQMaGhrw8vJCeno6VFVVERMTg6VLl8LT0xMDBgzA+PHjsWfPHhgZGaFbt24i2RcxwsNms3H48GGsWbMGGRkZWLhwIcaNG4ehQ4cCKLneLl26BA6Hg5kzZ2LUqFG4cOFCuXleubm50NLSgqqqKhwcHHD69Glm5FGUZGZm4u7du2jfvj3U1dWxd+9erFixQuTtiKmEyjyimnwAnEFJsQYN/H/E5/NXMlmVbGuCkhC56E6dOtWh/yemoZCRkVFphW8xDYPz58/T33//zfwGQBs2bKhHi35OMjMzKTIysr7NqJLqR2d2lPntQcAUAh7XcrTHhUrmCpVdxiagEwHtv4wEXfjyPVdA7uvOXwDMfJhVq1bVaJ8zMjJo48aNVFhYSLNnz6aUlBQiKhkB8Pf3J6KSOTKoZA7RgwcPaM+ePXT06FHy8/MjIqITJ04QAEpPTyctLS0KDAxk9DYksrKyaNCgQaSiosLM/9HV1aWUlBRis9nk5uZG+/btIyKinJwc2rlzZ6W6wsLCqG/fvlWOuNWU2NhYWrFiBR07dqxa2fDwcLKxsaHdu3eTkpISzZs3jxYsWED29vbUpEkT0tHRIScnJwoJCWG2YbPZNG/ePMrNzRWZzWJqT05ODqmpqdHTp0+ZZUOHDqVu3bpRTk4Oubi4kKysLHXq1ImGDh3KXJPr1q0T0JObm0sABPTUFWFhYeXOeRUVFcrKyqrztn8WUMWIjyicHm0A3l++19jxKfsRh7r9PHx90xHTcCh9MLRr1475LsoXEzHCM2/ePHr//n2F6169etUgJhNX7agYE3C/zO9EAkYSUFxLx+f3Mt+LCDj5xfGx+eJQeVe6bXLy/23m8/mkrKxMe/bsobFjx9LSpUtrvN+5ubl08OBB4nK5ZGJiUqHM2bNnqXnz5nT69Gl68+YNs7ygoIAA0KhRo2jIkCFUVFREz549Iy6XSxYWFsw1l5qaWmO76hp1dXU6duwYrV69mmxsbEhfX58GDhxIJiYmtGTJEoqNjSU1NTXKzs6mWbNm0alTp6rUN3PmTAIg0pA3IqJr166RqakpvXv3rlKZWbNm0ZkzZ+jx48eUn59PaWlpFBsbS7GxsXTv3j2ytLQkf39/GjduHOno6JCNjQ2ZmprS4MGDRWqrmJrx6NEj2r17N1laWpKxsTGFhoYKrO/SpQtzDfXo0YMOHTrErJs+fTpNnDix3DOtadOm3+05l5mZSa6ursxvPp9PAJgwWTHfTl07PtsBJKEkgcEnAAUAjgN4BaDdF5l2AF5Vp0vs+Pw8uLq60t27d+vbDDFl4HA4Ao6OnZ0dAaAhQ4bUt2liysDhcCg6OpoWLFhACQkJBIAKCwvrzZ6qHZXS86mso6NOQGEtHZ9wAsZ++e5KgHyZdfwqt/2adevW0ZgxY6iwsLDSzGxERGlpaZSfn8/8Lj3WL168YDJ2OTo6Vrp9fn5+uc6DstkQ+/fvTzIyMrRw4ULicDj09u1bMjAwIAA0fvz4mv9D6hgPDw9mxN7X15e0tbVp3Lhx9OeffzIyKioqdPv2baHmIrm7u1NERASdPn1a5LYWFxeTs7MzWVhYUHh4eIUyTk5ONHfu3BrpnTp1Knl7e1NMTIwozBRTQ8aMGUPv37+nw4cPl1uXlpbGXFulI6YvX75k1ufm5tKwYcNIT0+v3La3b9+mXr160adPn+rOeCI6fvw4PXnyhPndq1cvgTmBYr6dqhwfkRYwZbFYGgBsqSSrmzuADCJyYbFY9gBaEtHqqrYXZ3X7uTA1NcWIESOgqakJPp+Pjh07QrJsWXUx35W//vqLmZ9QlrS0NJFX7hZTe9hsNuzt7fH06VOsXr0aEydOrNdK8NLSQHFxZWs/AugAYD0AZwAclMzvuY+Smjw14QGAbQD+/KITX/QJN9esJo86DoeDa9euYdSoUYiLi0N2djYmTpwIoKSw5vv37xEfHw9bW1uw2WwYGBhUqktdXR0VPddGjhyJ+Ph4pKamok2bNnj58iVYLBbGjx+PBw9KMuCpqKjgxYsXwhv+HcjJyYGhoSGCg4Mrlfn48SPWrVuHefPmCVX75sGDB2jTpg2TEbKoqAhcLhfHjh1DUlISOnbsCHNz81rbzOfzsX//fsTFxUFaWhqrVq1i5jbl5eVh/vz5OHfunMA2y5YtQ2xsLObPn4+lS5cKrLt16xYKCgrg5uaGwMBAoYuZihENCxYswMSJE6Gurg5FRUUmayARYcuWLVizZk2lc1Czs7MhLy8PDocDKSkpAEB8fDx2794NAEhJSUFhYSECAwNFavPz58+RmpqK9u3bIyQkBFZWVgCAtm3bIjU1FdnZ2WjevLlI2/yZ+S5Z3b44UBr4f6hbKwChAF5/+duyuu3FIz4/F8nJyQIjDHWRPUVMzSibvQ0Qh7j9aAwcOJAA0OvXr79bm0ZG1Y3SzKOS2j1EwEMCOtPX82+E++BLeFttRopqtk9sNptOnDhBMjIy5OzsTHv37qUNGzaQt7c3nTlzhoyMjMje3r7CHueviY2NpaZNm9KoUaMoKSmJcnJy6OjRowSAJCQkBK610hpZz58/p759+1KLFi1q+V+pO+7fv0+jRo2qVo7L5Qo9lzM0NJRycnIoPz+fli1bRvb29uTk5EQBAQGUlZVFW7ZsITs7O/Ly8qJ79+59U0bJjIwMmjhxIhMCl5iYSAsXLhSQMTY2pn379lFycjJ16dKlUl0BAQHk7e1da1vE1J6oqCjasmULqaqqMtEj586do969e1N8fDwRlcyz+/pccXBwELjmFBUVafLkyQJy7u7uFBwc/M025uTkMN8nTJhAu3fvpu3btwtkcNPW1v7mdsSUB99rxOdbEY/4/Fzw+XwUFxdDVlYWx44dqzKzkpi6h8fjQU1NDY8fP2aWNaT7g5jqISKEhYVh7Nix320U6O1boOpEViyUREG3BaAP4CxKKh8YCtmCPYD3AFoAqH02s8pO5aioKLi6umLHjh3o3LmzwLrg4GC8fPkS+fn5sLe3h7S0NIgI06ZNw5UrV4RuOzIyEo0aNcL58+fh7OyMgIAAGBqW7L+RkRGCgoLQvXt3vHz5Eu/evcOsWbMQHR2NwsJC9O/fH0+ePKn1fn8LfD4fx44dw+fPn/H27VuoqqoiJSUFiYmJ0NPTq3Y0JyoqCh8/fkRqaip+/fXXSkeO4+LisG3bNvD5fCxbtgyjRo2qUO7y5ct48OABEhMTMW7cOOYYCkNERAROnjwJPp+Pu3fvYtiwYRg3bhyCgoKYjGCKioq4ffs2JCQkcPLkScjKymLx4sVMbaCzZ8/i6tWriIqKQp8+fRAXF4cmTZrg1q1bQtshRrQMHjwYFy5cwKFDh0BEWLNmDZSVlSEtLY2kpCQA5Z9jWVlZiI2NRX5+PqZMmQIul1tORltbG15eXsw9wdvbu8KIiKrIcml9AAAgAElEQVSwsLDAx48fcf78eSQnJyMwMBC///67gMyOHTtgY2NT090WUw1VjfiIHR8x9c6RI0dARFi4cGF9m/LTc+LECcydOxcAMGfOHAQEBNSzRWJqyrt37+Dj44Nt27Z9tzZZrKrWDkNJ5yr/y2cESlJc70RJMtBSeCgpTCqLkqmirwHcBDAcwCQhrPjnSzvhKAmj4wOYgpJCqXkwNs7A/fv3oaKigmbNmiE3NxccDgerVq1CWFgYHB0dYWtri4yMDPj6+uLOnTtMAc/09HT4+vriw4cPcHZ2RosWLWrVKTBjxgx8/PgRfn5+mDt3LiIjI/Hq1SssXrwYHTt2RFBQEMaMGYOYmBhkZGQIpGXu2LEjYmNjmfS6RUVF8PHxQbdu3TB16tQKw4RTUlKQnZ2NHj16wNvbGyoqKsjIyICWlhZycnJw4MABKCoqwsTEBBwOB2fPnkV0dDQaNWrEOM7Xr1+Hvb099PX1ERkZiUePHiEoKAjFxcW4evWqUPvN5/Nx8uRJdO7cGcOHD2d05+bmIjo6Go6OjlBWVsbRo0eFPpbr1q1Damoqdu/eDVlZ2SplN23aBGVlZQwePBgDBgwAUFJE8uTJk7h69Sr4fD6mTp2KV69ewdzcHO3bt2e2Xbx4MQwNDbFjxw5kZ2dDQ0MDUVFRUFRUxM2bNzFhwgSMGTMGJiYmQtsuRnTs2LED9+7dg52dHZMu/vr163B3d8f169cBVNyBx+FwYGVlxaSG/1qm1Ak/ePBgrW1jsVhYsWIFhg4dilatWmHq1KlglblZstlsqKioID4+vtZtiKmY7xbq9q0fcajbz4uoCvKJ+XbKTg4VI0YYhAs3Y3/5EAGliTSIgCgC/iRgFQH+VJKZLYCAqwT8W4muVwRs//LxJGATAYcICCvTRmkq7VUECCZ/ePfuHbVs2VIgacGJEydoxowZFBYWRkRU4cT17Oxs2rlzJ124cKFWxykiIoKuX7/OXF88Ho8CAwOpRYsW5O3tTX369CEzMzOSlpam4cOHEwCSlJQkAEy2t+PHjxOfzyd7e3u6c+cOxcfH07Zt2wRCroKCgmj37t3k7u5Op06dYtr7448/aOrUqbRo0SLasmULpaSkUEREBDk4ONCGDRuYfSci8vLyImtr60qzohkYGAjIC0NSUhKdP3+e+dy4cYOys7Pp48ePAmFBwpKSkkLW1tZkaGhI9+7dq1TO0tKyxrpLWb9+PXXs2JG8vb0FsiiWZqHj8Xi0c+dOsrW1rXUbYkQDj1dS3FhTU5P8/f3p8+fPlcqy2Wzat28fAaCrV69WKFNdtsfXr19Xmo3w7NmzdO/ePbp582al29va2lJaWlqVbYipHajLrG6i/Igdn5+XS5cuVZv2VMz3ofQlSez4iBGW2s27eUKANQGDKnCQgiqQ5xKwk4D1BFz84tgI19ZXUziIqCSVcVnS09Np//79le4jm82mzp07iyTl7MWLF2nEiBGM3tL5BZ8+faLAwEDKyMigkydPUn5+Pk2fPp06depEfD6fsrKySENDg7p160Z2dnYC2ejCw8PJ0dGRVq9eTerq6uTm5lZuf0eOHCn0nBQ7O7tqZYYPH043btyo93pDwcHBtGvXLoFlN27cIAcHB5oyZUqVL59V8e7dO9LU1BRKduTIkRQUFFSrdsR8O3v37iUApKurK/QcsNDQUBo/fnylz7qqnoGZmZnUvHnzCu8HHh4e9OrVq2rb37x5MyUlJQllq5iaIXZ8xPwQHD16lC5evFjfZvzUzJo1S8Dx2bFjR32bJOYHoHaOzyMCDKgk+cGnrxyfQ1/JOhOwkAATAl7XuK309PI2f+34EBFt2bJF4AW6bGcMm80mBwcHkbzks9lsys3NpT59+hAAOnr0KIWEhFBhYSGdPHmScnNzKS8vj4CSVOVcLldo3e/evaP09HRavnw5SUpKMs5Rq1at6PHjx0Lrsba2rlaGx+ORmpoaLVmyRGi9dUFSUhL16tWLjh8/Tvn5+ZSSkkLNmjUTGNGrLfr6+kIVK42NjaXt27eTlZUV2dnZka6uLiWXLR4lps4oTRby+fPnGiW+WLRoEcnIyFTo4HC53Codn2PHjjHXrpeXF+np6dHs2bOZZyeHw6l0WwUFBQJAvr6+TAFjMaKlKsenkWij6sSIqT3z58+Hu7s7WrVqxcTWi/m+nD17lvk+cuRILF68uB6tEfPf5m8AJ1Eyt2cfADaAVABKAJYD2IKSeTo6AGahJCV27WjVqvyyjIyMcstWr14NIyMjrFixAgAE0lRLS0tj69attbahLKWpdtXU1NCvXz+4uLigR48e8PT0RGhoKADg9evX+Pvvv6udv1KKv78/jh49inv37iE3NxdEhOLiYmZOgampKTO/RRiEaVdCQgL9+vXDL7/8IrTeusDCwgInTpxAfn4+Zs6cia5du+L58+do0qTJN+vOz89HQUEB5OTkqpTr0aMHbG1tsWfPHrx8+RJdunRBXFwcFBUVv9kGMZWTmJgILy8vsNnsSlNYV8abN2/AZrOZe8G+fftgZmbGrA8PDy+3DZ/Ph5OTE4YPH44PHz5AUVEREhISTOIDf39/SEpKMtdeyTt4yZw8IyMjtGnTBllZWVBSUgIRMXNqxfyPvTOPqzn7//irpE2jkF32yjIyQpaRZRJZQ1mTClERlRYibWhiskSRdexL9GMiSYwxzTCRbUzWkKWkVbft1r2f9++Ppvt1dat7b/dWzOf5eNwH95zzOef9ud37+Xze57zP6113sI4PS4PC3d0dDg4O0NfXRwtRTysscuNTFTALCwucPn26Hq1h+ZJo0gQoLJTkiAyUK7UpoPw2tOSz+iUoFzqIBPAnAGMZWPk/rly5AiUl4dtfSUkJBg8ejJcvX4LP58s9p5iysrLQZv7z58+jc+fO0NLSgpKSEtq0aYPu3buL3V+vXr2gra0NXV1dTJw4EePGjRPaSP3hwwd07doVDx48qPEh/sOHD5U+H1GcOXMGubm5+Pnnn8W2U9YUFBQAKFf3AiC24II4eHt7w8TEpJJjd/r0afz2229QVVUFl8uFrq4unj9/Di6Xi9GjR8PFxQU8Hg9z584Fj8fDyJEjZWYTizAvX75EcXEx3r59i65du4p1zMmTJ3Hs2DFcv34dADB27NhKubZevXqFzp07CxyX/Px8REVFIS4uDl5eXujbty/Kysrg7e2N4OBgaGlpwcjICHFxcSAiwW+74jc4e/ZsKCoqQl1dHdHR0WjdujUGDhwoq4+BRRKqWgqqjxcb6sZCRHT16lXaunUrrV69mpYvX06PHj2qNrM6S+3p0qULNWvWTKKQGhaWCubNkzTMbb4Ee3RspAyl+9/rUw4fPkzz5s0TKuNwODRs2DBKS0urVY6YhoCoa2VBQQENHDiQfvrpp0o5az6Fw+GQr68vubq6ihUmNnHiRLHCwORJUFAQubm5yaw/Pp9PT58+JSIiMzMzkW2mTJlCMTExQu2r2uRuYmLCbmCXM2VlZXTgwAGx96+9ePGC7t69KxTWraCgQDo6OpSWlkZ5eXmCcg6HQwzDUJs2bahDhw60c+dOoeMqXjo6OqSurk4bN24khmEE5Z+zadMmunv3rqw/ApbPQDWhbvWX7puFpQo0NDQEsq1+fn54+/YtFBUVJcqbwSIe8fHxMDY2Rm5uLnJycuQ+y83ydbJ6tTitCMBWAOYoz80j7u2HJ6VVovnzzz9x4MABoTI1NTU0b94cRkZGsLCwkOl4dY2CCG1xHx8fGBsb4+effxbI935KTk4OVq1ahfXr18PJyQmbN28WK0ysX79+iIiIkInd0pKRkYHAwECZ9ff+/XuMGDECbm5uVUpUu7q6IiwsDED5Srmurm6VebO6dOlSZf4iFtmgpKQEW1tbFBYWIisrq8b2zZs3R8+ePTF16lT4+voiPDwc8fHxSE5ORtu2baGpqQkejwdLS0sEBARAQ0MD79+/R0ZGBvz9/aGoqIiePXtixowZiI+PF+S2GjduHNLS0rBo0SI4OzsLVosq4PF4cHd3l9fHwCIuVXlE9fFiV3xYPuXatWuUlpZG+/fvp/Pnz5Ofnx+r/CZDdHV16cqVK/VtBksD586dO2K1q37VxZvKpaWrkqeu7rVAgtWhmld8kpOTycHBodIMPZ/Pp6NHjxIAmjNnTpUz+F8aRUVFNGjQIOrdu7dQxniicnnu5cuX04wZM6RWq7OysqIjR47IwlSp2Lp1K9nb28usv8ePH9P3338vWPURRXZ2Nk2cOFGs/rZu3UrOzs5CUtgs8iEzM5PU1dUlOgb/rsyUlJQIyhiGERIqOHDgAJWVldHmzZsFZT4+PtS5c2caMWIEzZkzh16+fElE5SvKNQmDfPjwod5XSr92UM2KD5vAlKXBEx4eju+//x59+/aFgoICeDweFBQU8PbtWzx//hwvX77EsGHDoK+vX9+mfhHMmDEDkZGRsLS0xKlTp0TOELOwDB8+XLC5V5z7RNVfI1cABgDspLTEH0APADOlPL7c/fmUa9euITExEZ6enpXaMgyDoUOHYvTo0ejevTvS0tJQUlKCDh06oF+/flLF5ZeVlWHXrl149eoVmjVrBhUVFZiZmaFPnz7SnpLYLFu2DEpKSrh58yauXbsGZWVllJaW4scff0RhYSFWrVqFoKAgBAcHS9X/jRs3sHHjRpiYmGDp0qUytr5m/P394ezsjObNm9e6r7dv38LGxga7du2Crq5utW0dHR3B5/Oxe/fuKtswDINnz54hLi4OvXv3xg8//FBrG1mq51NBAXEoKSmpJORhbGyMhIQENGrUCHw+HwAE4gkKCgro1asXkpOTMWvWLBw/flxiG9+9ewcAaN++vcTHsohHdQlMWceH5YvCw8MDz549Q58+faCtrY3OnTsjJycHly9fhoGBARwcHKClpVXfZjZIysrKBKo3UVFRmDp1ar3aM2TIENy4caNebWCpmtzcXPj7+2PChAkwNTWtsb1ox2cLgAkA9CrVqKoCTZsCHTqUiyM0aQKoqQHKysDJkwDAg7l5PkpKtHDjxg/o0uU8cnM1kJMD/LufXSxMTID4+MrlXl5eGDp0KMzNzQVlDMPgwIEDePDgAbZt2ybUnsfjYceOHVBRUUFubi68vb3FGn/Pnj0oLCzEkiVL0LhxYwAAn8+HlpYW7t69iy5dusg1xNTY2BhcLhfTpk3D8+fP0axZM/B4PLi6uqJjx44AAFtbW8ycORPjxo2Tepxr164hIiICS5YswbBhw2Rlfo3k5ORgx44dWLt2ba37WrFiBZYuXYouXbqI1d7f3x+PHj3Cxo0bBZ/lp0ycOBFlZWVo0aIF3N3dYWhoWGsbWaonKioKt27dQlBQkNR9ODg4wM7ODu3atRP8XbOysqCmpoa2bdsiLy8PZWVlaNSokVS/3by8PDRp0kRwPWCRPazjw/JVsXTpUqxZs0YgE5qeno4HDx6gd+/e2L9/PwoLC6GiogJra+saZ+0uX76M9PR0AOWz2sOHDxf7pveloaCgABUVFZSUlNS3KQDK5YRZ5b6vF4Zh4OLigq1bt1a5/0EUPB4PM2bMQLdu3aCqqgo+n4/c3FyRe1Nqy+7du/HNN99g9uzZyMvLg6OjI5YtW4YhQ4ZUe9zevXsxZswYkQ+7n7J161bo6+uLdChKS0tx+PBhREVFQV9fH8XFxfDz80Pr1q1rdU6f8s8//2DChAkYP348PDw8hK5tPB4PZ8+eRVJSEoqKitCmTRvk5uaiZcuWWLFihUR/swoYhsGMGTNw6tQpqY6XhtLSUgQGBkq9z4dhGAQHB0NPTw+XLl2qdgXnc6ZPn46SkhIcPXoUTZs2rVT//v17eHp6Cqn3scgXPp8PY2NjdOnSBUeOHJE4ouH169dQV1eHtrY2Pn78iP79+yMlJQUfP37Epk2b4OnpiW+++UYmdrJ7auUH6/iwfFX4+/tDX18fs2bNAgCcOnUKt27dwpUrVzBw4ED4+flBU1MTe/bsQVpaGhQVFUXKwhIR4uLiBDO3PB4P+/btg5mZmdAs8NfAixcv0K1bN4lCAFhYakNwcDCsrKzQoUMHsY959OgRlixZAmdnZ5ibm9fJw3NFqJetrS18fX3Fmvh48uQJ1q9fj9DQ0GpXmCMjIzFw4EB07ty5xj7XrVuHx48fY+jQoSAiKCsrIysrC6NGjcKgQYOEHuCysrIQFhaGZs2aQUlJCS9evIC6ujr8/f0F7bKzs2FiYgIdHR28efMGt2/fhpKSEng8HiZNmgRDQ0OYmppi+PDhQp/zgwcPEBERgenTp0slw+zh4YFNmzZJfJy0lJaWws7ODp07d8aUKVPEDkW8d+8eGIbBnDlzYG9vjxcvXmDEiBGYMWOG2GNPmzYNUVFR1bbp1asXnJ2d4ejoKHa/LNJTVlaGJk2agGEYZGdnQ1NTU+q+rly5gocPH8LFxQUA0Lp1a7x//14mdrKOj3ypzvFh8/iwfHH4+vpi9+7dKCgogIaGBhQUFDB//nxs2rQJKSkp6Nq1K4qLi7F8+XIA5Q7N48ePRc78TJkyRUhxZ8CAAQgPD4erqytCQkLqbNZS3gwYMAB6epXDjVhY5AXDMBI5PQBw7tw5/P7777h69aqcrKqali1bir3aq6+vjz179uDixYvIy8tDUVERSkpKMHz4cAwY8L977YQJE3DkyJEq1cE+JT8/H0eOHBEqS0lJQVhYGM6dO4fWrVujVatWYBgGx48fR2hoKLp16yZoGxkZCT09PTx//hwDBgyAjY0N+vfvjy1btsDDw0OQl0dJSQkzZswAwzAiHRsDAwOEhYVh7969+OWXX7B27VqJwocLCwvxyy+/YPLkyWIfUxuUlZVx9OhRAOWJTMVxfNavX4+///4bGhoaOHfunFT7Q//44w88evSoxnaRkZE4duwY5s6dCzc3NzbcTc40btwYRUVFmDRpErhcLoYPH474+HiJk5sCQJs2bdC1a1f8/vvvOHPmDJ49eyYzO1mnpx6pSvWgPl6sqhuLuBQVFQnlWAgKChL8/+LFi/To0aNa9R8bG0tjx46tVR+y4v3792Rra0uhoaEEgA4dOkQASFdXl3r16iVWjqMFCxbQjRs36sBaFpZyvLy86MmTJ2K33759Oy1dupT2798vR6sq4+fnR0lJSeTh4VHrvuLi4sjCwoLS0tIoKyuLXFxcxFZvcnV1rVFJ7urVqxLlhHF2diYOhyPy3AIDA+ngwYPVHs/hcMjd3Z22b98u9phERPb29lRWVkYAKDU1VaJjpSUkJISio6PFamttbV2rsRITE2ncuHESHVNWVkampqbk7+9PRERhYWF0//79WtnBIgyfz6fw8HBasGAB2draUpMmTUhTU5OKi4ul6i8vL49u3rxJ69ato3bt2lFubq6MLWaRF2Dz+LB8baipqUFPT0+guFJcXAyGYQAAZmZmAjUqaRk7dizmzp0rMkcFjyfbvCLVsXv3brRp0wZXr15FeHg4evfujXnz5mHIkCGYPXs2+vXrB0VFRXTs2BFEBA0NDXTr1q3SPp4tW7aIld+AheVzbt26hejoaImPGzNmDFJSUmps99dff2HZsmUwMDDA9u3bYWcnrfqbdBQUFODQoUPYsGFDrfsyNTXFqVOncPXqVVy8eBFBQUHQ0NAQ69iSkpIaV5hHjRpVbU6Y5ORkofcTJkyAv78/+vbtKygrKCjAmTNn8OLFC8ydO7fa8TQ0NLBp0yb0798fzs7OuHXrVrXt169fDzc3N0RHRwvChX19fbFs2TK5htmGh4ejQ4cOmDhxYo1tCwoKxMpRVBUPHz7EunXrJN63o6SkhLi4OBQXF6NDhw64du0aVqxYgWXLlgnuXSy1g4hw6NAhqKqq4tq1aygsLMSWLVsqqbaJi7KyMlq3bg0tLS1ERkaywklfC1V5RPXxYld8WCQhJSWFQkJCKC8vj86dO0ebN2+m2NhYKikpoejoaHr27Fmt+i8rK6ORI0cKzVhOnDiRJkyYQObm5tS3b1+JZ5I+fPhAAGjw4MG0bds2Onr0KB0+fJh27NhBzZs3pyZNmghmBK2srAQ5A+bOnVtlnzwej1RUVKhly5b0448/0osXL2jq1KlUUFAg1G7NmjUS2crCIi3FxcXk7Owssi4yMpJ27dpFrq6u5ODgQA4ODnVsnTAZGRnk4+NTrzYQEbm5udXq+OvXr4vMFK+npyfIIZORkUHz5s2j3377Taq8MqGhoeTh4UGFhYWV6o4cOUIxMTH0+vVrAkCRkZHEMAwxDEMfPnwgKysr4vF4kp+YGAwZMoScnJzI39+f0tPTicvl0t9//00JCQmUmJhIK1eupFWrVpGnpye5uLjQb7/9JvVYLi4uUud42rt3L1lZWQmVnTt3jvr27Vvn38HPczp9TcTHxwvunfHx8VL3c/36dbp06ZIMLWOpK1DNik+9OzufvljHh6UqgoODRZbzeDyKiIiguLg44nA4NGHCBBoxYgTl5eVRr169aj1ucXExLV26lObMmUMLFy6k8PBwQd2LFy9oypQpxOVyxe5v/vz5BIDOnDkjVM4wDPH5fHr27BmpqakJLtqfviTh4MGDBIDCwsIEZY0bN6aAgACJ+mFhEUVOTg599913Iuv4fD4tW7asUojXTz/9RI6OjhQdHU2JiYlERJSamiryIbquWblyZX2bUOtQOz6fTz179qSQkBBB2YcPH6hPnz7k7e1Nq1atIldXV6nDfirIzs4mNzc3WrVqFa1Zs4YOHz5MUVFRZGRkRNHR0eTo6EijR48WOoZhGLK2tqaOHTvWauyq4HK5ZGVlRZmZmRQcHEw+Pj60Z88eOnHiBG3YsIHKyspkkkA0MjKyVslav/vuuyqdJnt7e5o8eTLZ2NhI3X91eHh4kJmZGTk6OtLYsWOpTZs29Zp4Vp4YGRkRAOrWrZvUiULfvHlDHz58kLFllflaEiU3NFjHh+WL5/Tp09XWR0RE0IkTJ2j79u1kb29PS5cuJXNz80o3YGlJT0+nEydOVCq/detWjVmaXV1dhbI9i3MDvnXrFmVkZBAR0YYNG+ivv/6S2ObY2FghhykvL48AiLUniOW/y969e2nTpk2C93fu3Kn0nRk/fjxt3Lix0rEXLlygkJAQysnJESqfN2+ewNlpiHh7e9e3CTJZkd29ezeNHz9e8DAVHh4u15WEsrIySkxMpKioKMrNzaXY2FhaunQp2dnZ0T///FOpvaampkwcEFFER0dXOUEmC9zd3WnPnj216sPc3JxMTU2r/QxmzZpFs2fPpnXr1tVqrAp8fHxoypQpdPfuXSIievfuHXG5XAoODiZTU1Mioq9u74qvry8BoJKSEqn7ePXqldy+qyzy54t0fEpLS6msrIwKCgrozZs3sv9UWL4KwsLCBA7J8OHDiYgoOTmZduzYQbm5ufTPP/8ICR/IAxsbG3r48KHIuooLsKamJr19+1audnzOiRMnyMLCQqgMgNQzYCz/DXJycujWrVsUHh5OAwcOJGVlZbp37x4dOHCAiMonIQAIzVS+efOG/Pz86NChQyL7bOhhlqtWrapvE2TyGTEMQxMnTqRFixYRwzBkbm5Oo0aNkluImShiYmJo8+bN1Lp160qr4c+fP5dYKEESEhISyNnZmQIDA2Xa7969e2ucfBMHPp9PMTExpKOjU62Ix7t372jMmDFkYGBAP//8M929e1foITw9PZ3evHlDHA6HbGxsaNWqVfTmzRvicrmC32V6ejpNnjy5SgGLvXv30oQJE8jGxoZ0dXVp6tSpX8XqQ0VURW0n+fT19QkA/d///Z8MrWOpK6pzfL64PD5cLhcqKip1ZBFLQ+fvv//G6tWr0bVrV2zbtg2jRo1C9+7dkZ+fj0OHDkFZWRkXL17ElClToKOjg+fPn8vcBoZhYGlpiZCQECE53NDQUCxfvhyTJk3CL7/8IvNxa8LExARXr17Fu3fv0K5dOwDlGalPnz7NCh2wVMmcOXMQFhaG8+fPQ0VFBaNGjYKXlxfS09Nx8eJFnDx5EhYWFlBSUoK1tTVKSkqgpaWFwYMHQ0lJCQoKCoJN+hX/v337NkJCQur5zKrG398fzs7OaN68eb3Z4OPjI3USzk8pLCyEhoYGrKys8Mcff6Bdu3Zo0aJFnV6DCgoK8M0338DT0xPBwcFCdbNmzULz5s0xZMgQWFlZySVlgLe3d63EKtatW4e7d+9CX18fCgoKaNOmDZydnWVmH8Mw2L59O+7fvw9tbW1MnTpVZNLc/Px89OvXD3369EHjxo2Rn5+P3NxcqKuro0WLFmAYBmFhYXj69CliYmKQkZGBmzdvYvDgwcjOzsaWLVtqTOLt6OiIli1bomXLlsjPz4eXl5dA+vxLg6g8/5WCggJSU1PRtm1bqfopLS3FxIkT4eHhAVNTUxlbyVIXsAlMWb5qXr9+jePHj0NFRQWmpqbo3bs38vLyEBISgoULF6JTp07gcrlQVVUFwzASZ3IWh/z8fEyZMkUo/4iCggKUlJRQVlYm8/HEtUlTUxOf/8YVFBSEyuLi4mBsbIxGjRpJleuA5esiMzMTLVu2rLHdy5cvERMTg5EjR4KIBMpUDMMI/Z+IEBwcjNOnT8vV7towffp0REZG1qsNsnJ8gPLzUVVVxeHDhwEA0dHRyMvLg7W1tUz6F4f379+jbdu2aNKkCTgcjuC6W1paCqD8uu3o6Ii4uLhK1+TS0lIwDIMnT55AR0dHYofUxsYGs2bNwrhx4yS2OyIiAqqqqrC2tkZpaanUimDikpaWhuHDh0NdXR3t27cHEcHMzEyQNPNz7OzsEBYWhm7duuHSpUswMDAQql+9ejVu3LhRYy6s7du34+7du3j8+DH+/PNPMAwDOzs79O3bF25ubjI7v7qi4h7fuHFjtGnTBq9fv5a6rx07dsDGxgbffPONDC0UTWlpKXvflQPVOT6snDXLF0/Hjh1hZWUFNTU1+Pj4QE9PD1paWhg/ftvu+38AACAASURBVDxmz56NsrIyqKio4OrVq1BUVJRLcsSmTZtCT08PaWlpQuXyvmlWR9OmTTFs2DAoKCjg/PnzQnV79+4FAHz48AFjx45F9+7doaKign379qGgoKA+zGVpIIjj9ADAvn37sGTJEvTu3RvffvstDAwMYGBggO+++w6GhoYwNDTEgAEDMHDgQPD5fCxbtqxGOeT6QkdHp75NkCmnTp3Chw8fBO8nTZqEBw8e4OnTp3VmQ5s2bVBSUoLCwkJMmTJFUK6srAxlZWV0794d+/btw4wZMxAeHo779++DYRjk5ORAW1sbampqsLa2RosWLSSePFqzZo3EctMVPH78GDY2NlBUVKyT63e7du3w/PlzPHjwABcvXkRsbCx8fHzQrl07ODk5VWqvra2N27dvQ19fHz/99BM2b94MHx8fBAQEwNvbGyUlJYI0D6LIysqCpaUlevXqhd27dwv+NoqKiggLC0N6errczlVe+Pr6Cv5Wjo6OSEhIkKqfpKQkLFiwAGPGjKkTpweAYHWNiCqloWCRE1XFwNXHixU3YKktf/31F40ePZoGDhxIRUVFtHr1agoNDRXUf/z4kSwtLSVWSRMHDodDgwYNEsSCHzlyhJSUlGQ+jiRER0cTACE1t7179wri7CFCPW7MmDH1ZS7LF8CrV68oODiYEhISxD6mYv/K9u3bydXVtUFJ6T58+JDmzZtX32bIfB+Uvb09lZaWCt4zDCM3xbCaAEBHjx4VudeotLSUTp8+TStXriQ3Nzfy8/MjHR0d8vf3p1atWlFCQgJdv35drHHu3r1LY8aMIU9PT4qKipLK1q1bt9bb5/Qpjx8/poiICDI2NqYpU6aQrq4uTZ8+XXCdVlRUpD179lBYWBg9ffqU0tPTKTs7u1qVUT6fT0OHDq1ynyeHw2kQQh+SUvGZGBoaSqSyWoG/vz+dPn2amjRpQgDqdE9cBRXJgllkA75EcQNxKSoqqlT2NWzQY6kdWVlZ5OTkREREEyZMEMro3bt3b7K0tJTLuGVlZWRmZkZDhw4lXV1duThYksDlcqm4uJgACBR8OnfuTEVFRUK/k8uXL9PUqVMJQIN6KGVpePj6+lbaNBwXFyeQN654eXt7C/79dEM7h8OhFStW0I4dO+radJGEh4dTTExMfZshc8cnMzOTfvzxR6Gy+/fvk6enp0zHEYeKB1N7e3saNGiQQGHscxISEigpKYk+fPhAI0eOFDyEuri4iLVRfeHChVI9+H7OsmXLat2HvNi/fz9NmDCBgoODqU+fPhLdYzIyMsjOzq7KemdnZ/rpp59kYWad0rZtW1qxYoXUwj2ZmZlkbW1Nbdq0oZSUFCIS/WwpSqmQpWHyVTs+ovg8cSPLf5N27drR/v37afv27bR69WqB8zNjxgwCQMOGDZPr+BU3+4ZAUFCQQNGtwqbNmzcL6jt06EBLliyhjx8/1loGlOXr5fr163Tjxo1K5evWraOPHz9K1FdCQgI5OjpSUlKSrMyTGmdnZ4F8fH0hD+W7sLAwevHiheA9l8slDQ0NuU38VMXOnTupcePGBID69u1Ld+/eFZm/iWEYKikpIQUFBerTpw/98MMPRFSuFDd79mzatGkT7dmzh7p27UqnT5+m33//XaDq+fz5c/Lz8xPq78GDB6StrU1lZWWUnZ1Nf/31F506darG63J8fDyZmpo2yEnUd+/e0fDhw8ne3p6Iyp09cbG0tKTHjx+LrIuIiCBra+svTvXz8uXLMrvXvn79utp6eU0Kfm1y4g2B6hyfL1O6owaaNGlS3yawNADS0tJgbGyM7t27Y/LkydDT0wMAnDx5EidPnsTkyZMF4gPyEDwAgG+//VYu/UrKypUrsWrVKqG4ZVdXVwDAkydP8PbtWxQWFuLFixc4deoUVFVVy2dGWFg+4eHDh3B0dKxUTkQSqXMlJCTg0qVLaNGiBZYuXQpNTU1ER0fXm5rUihUrcOTIkS9yU3d1ODo6Yu3atQLRBGVlZYSGhkq9B0JaHBwc8PTpU2hqauKbb75BbGwsdHR0kJWVhSZNmkBLSwtpaWno0KEDTExMMGrUKFhbW+Phw4cAgHHjxgkJFVhZWaGoqAi3bt3Cb7/9huzsbAQFBeHt27e4evUqFi1ahLS0NHTu3BnTpk3D1KlTMXfuXOjr68PMzAxXrlzBzp07cefOHWzZsgUaGhpC9pqYmKBFixb46aef4OnpWaefVU2oqqqisLAQf/zxBxiGwQ8//ABXV1e8efMGnTp1wsuXL6GiogI1NTXs379fcFxBQQGaNGkCfX39Sn3evn0b165dw7Fjx+ryVGrN/fv3YWpqisaNG+Py5csAyvdohYSE4ODBg9UquxUWFlZ6Vqxpr5+8VB81NTXl0i9LFVTlEdXHi93jwyJL8O8sUEFBAR09epSmTZtWqU3Tpk0JgMwTlSUnJ9f7ak/FjOqmTZsEn8WIESMqtdPW1qahQ4fS2bNnKSoqisaOHUsAaPr06WyyUxYB2dnZVea7CQwMlGim2M/Pj4qLiwXvU1NTycnJiS5cuFBrO6WBz+fTvHnzaOHChfW2AiWvXEc7d+6k33//Xaisffv2lJmZKZfxqqK4uJhGjRpFAOj69esUFxdHaWlplJqaSpmZmfTbb78RAIqLiyMiop49e9LMmTMpKytL5rZ8+PBBcE2s6ntbWFhIs2fPlvnYtcXR0bHGpLQrV66kBQsWCJX9/PPPFB4eLrK9paUlPX/+XGY2yhs+ny/4+82dO1dQXlZWRuPHjyciIgcHB6E9biUlJRQTE0OXLl0iIiJDQ0OJxmQYRm57f/7++2+59PtfBv+1UDcWlgqWL19OlpaWdPToUQJARkZGlWLAW7VqRQCEHsRqS2lpab07PhV8Hq6RmpoqtGR/5MgRAkBqamrE4XCoffv25OzsTHv37qX+/ftTUVFRlYkpWf4bvHnzhry8vKq88Usa6nbixAn6888/K5UfPHiQXFxc6i30g8/nU1BQkEThQ7JCXo4PwzA0btw4oQTKubm5ZGpqSjNnzpTLmFWRkZFBw4YNIwDk5uZG7du3p/bt2wuJqxARJSUlUY8ePYjH45Gnp6dcwq9OnjxJAGjQoEF09epVMjExIVdXV3J1dSUnJyeaOHEizZkzR+bj1paysjLy9PSkKVOmVKpLTU0lXV1d6tKli6Bs48aNlJycTNbW1lX2aWlpSS4uLuTh4dHgxQ14PB4dOnSIAND58+cF5VwulwDQ+/fviYho9erVQsf17t2bOnXqJHW4GsMwMtk/JgpJw4RrA4/H+0+EsrOOTw18+sAr65l/loZBZGQkHThwgG7cuEFhYWGV6u/fvy/yRlIbGorj8ykMw9Dly5cFN4cKjI2NBfZ+Optmbm5OQUFBEil4sXxdMAxTo9JRUFCQRM5KcnIyRUREiKzjcDjk5uZGe/bskdhWWXHz5s063+QtL8eHiGjAgAEixSTCwsLqXMHs3bt35OHhQampqYKyz79b06ZNo1evXhFR+Uz9vn37aNeuXRQREVHlqoWkcDgcGjp0KCkpKTWo/ZjiEBERIdI5NzQ0pMzMTDIyMhKsnJmamtKaNWsEe6FE4efnR/Hx8ZSamkoTJ06Um921pSKSAoDQ+eNf1cDhw4cTUblYwefXDw6H88XtX2KRnuocHzaPD4RzrVQVp15fSShZZIOlpSX69euHnJwcpKSkVKo3MDCAv78/evbsKbMxq0pAV1cQEa5cuQI/Pz/s27dPkKTUzs6uUmxzfHw8uFwugP/lcwCAc+fOYdKkSfj+++/r3H6WhkFsbCwuXryIRo0aVao7fvw4PD09kZOTU2mfRHXo6+vj1atXIus0NDQQEhKCLl26wMnJCS9fvpTWdKm4ceMGjhw5guzsbHh7e8Pb2xurV69Gfn6+oM2+ffvg5uYGNzc3rF+/XpCUs6Eyf/58kb9hJycncDicKv8W8qBdu3bg8/no2LGjoOzT71ZeXh66d++OTp06AQBUVFQwf/58LF68GAsXLkRpaSmuXLlSazs0NDTwxx9/IDc3t1K+HiJCbm5urceQFwsXLsTRo0eFytauXQtdXV3o6+vj+++/x9atW1FSUoL27dsjMDAQM2fOrLI/X19fmJiYoGPHjnj58iVOnjwpSEIsDn5+fhg8eDB++eUXqc+pJvLz89GrVy/07dsXjx49wpYtWwR1Y8aMQXBwMEaOHAkAOHToECZPnix0vIaGhkTXKJavmKo8ovp4NeRQNx6Px+53+ApYu3Yt3bp1q8r669ev07hx42o9M/Tq1at6mUHk8/mko6NDnTt3JgCkq6tLJ0+epLNnz1J4eDgtWrRIMGPWqlUrMjY2FnmuUVFR5O3tTT/++CPZ29sLZFO5XK7gxfLfwM3Nrcq62kgjixNSw+fzycfHh7Zs2SL1OOKSnZ1Nrq6uIleEORwO2dvb06pVq2jmzJkUHBwsqEtNTSV3d3das2ZNrUJW5LXi4+fnR0uXLqVGjRrRw4cPK9VnZGTU+bXq77//plWrVgm9jhw5QtnZ2bR58+YaV5iDg4MFK0Ky4NmzZ3T8+HFav3499e7dmwDQ/PnzZda/PNDW1qZRo0bR1q1bBeGDy5YtIyUlJcrIyKARI0aQp6enxCunHz9+JCMjI5F7wPh8Ps2ePZsSExNp0KBBtGrVKjI2NqY5c+ZQWVkZLViwgEaPHk1t27aVWhHPysqKnjx5QnPnzhXcq9q1a0czZ86k+Pj4Ku89Z86cIQsLC8rJyaHFixeLVA1k+e8ANtRNPmRlZdEff/xR32awyJiOHTvWOqFhTEwMTZ8+XUYWiY+BgQFt27aNpk+fTjY2NhQREUGmpqYEgE6cOEEcDocyMzMFuX0+fX348EHQT0Uiu4qbzLhx4wRCEUpKSnTy5Mk6PzeWuufkyZN07NixKutrsx9AkmNv3rxJDg4OlJycLPV4VcHn8+mnn34iDw+Paic8+Hw+ZWdnU1lZmUgnJTs7m1auXEmenp5SSWNL6/ikpqZSenq6yPI1a9YInEYej0ebN2+ulLOIy+WSnp6eVGPLCj6fTzdv3qSgoCDy9fUlZ2fnGo/R09Oj27dvy8yGZ8+eUaNGjQhApb09FftHFi1aJLPxpKV///706NEjkcmnAdDkyZPp9evX5OzsTB4eHkI57MSBz+eThYVFJcelIolqVFQUmZubU2JiIvn7+4t0cAwMDKQ6t3v37gn23OLfUOuioiKxRQX69etHTk5O9PHjR3bbwn+c6hyfr1LOWt4QEQIDA9G2bVu8evUKQ4cOBVAuF8kupX65lJSUQFlZGVeuXIGuri4OHjwodV/GxsaYPHmy3L4TFaE1ysrKgrKWLVsiKysLy5cvB1AukXnv3j1cuHABXbp0waxZs+Dj44PAwED4+fmBYRgUFhZi8uTJ+PXXX9GqVSvk5eVBU1MTysrKQuEnBw8eRMuWLQGUh32eO3cO6urqsLCwgJeXV4OR7WaRHTk5OcjIyICzs7Nc+i8qKhK77aBBgzBw4ECsW7cO2tracHJykokNly9fxtmzZ7F48WIYGBhU21ZRUVEgZysqDKh58+YICgpCUVERNm7ciMLCQri6uqJdu3Zi2VJYWAgfHx9B/5+GXX/+ns/nC36fd+/eRZcuXaClpQWg/DrWokUL3Lt3D4cOHRJcIxo1agRXV1f069cPZmZmQhL+T58+FctGeaGoqIhBgwZh0KBBAAAvLy8UFRVBXV29ymMsLS1haGgoMxt0dHQwdepUhIaGVpJAfvv2rcCu+oSIkJ6eXmVI9vz587F582bMnz8fOTk5yMnJwbp16yQag2EYdO3aFf369cPFixehpaWF+/fvQ0VFBbdv34a5uTmmT5+OgQMHYuDAgSL76N+/P8aMGSMIfVNTU8PevXsxdOhQ6OnpCb67paWl0NXVxfz583H27Fncu3cPqqqqMDQ0xOrVqzFx4kShe1xN3LlzByNHjsQvv/yC9+/fw93dXaJzZ/mPUJVHVB+vL2XFh8vlVpqBePz4MQGg2NhYIQlFli+H2NhYCgoKIiIiOzu7SgIAksDhcEhNTa1aJZ2a4HK55OvrSydOnKDQ0FCaNm0aAaDmzZsTAPr2228rHVNaWkqZmZkUExNDAKhz586kqqpKQ4YMoWfPnhFR+WZ1FxcXWrZsGbVq1YrGjx9PHA6HJk+eLJhpy8nJEWlTWVkZubm5UUZGBllZWVGzZs3ou+++oydPnkh9niwNk1OnTtHChQtpzZo1lV7e3t60Zs0aMjMzk7p/aVeLoqOjycnJqVbyu5mZmeTi4kL79++X6ngHB4caQ3mKi4vJ39+f3Nzc6M2bNzX2KctQt+fPn1epXnXo0CH64YcfhEKGNDU1G1Qot4eHR7X1R44cofj4eJmPWyHk8anwAlG5ylyvXr3qVQAhJCSEtm/fTseOHSM1NTVSVFSk9evXU3p6OjEMIwizLCgoIADUtm3bWq16ZGRk0NChQ2nYsGHUrVs3Mjc3Jw6HQwkJCdStW7caj4+IiKhyVaqwsJA6dOggJFTQqlUrSkxMlEkYNRuOzQJ5hroB0AHwK4BHAP4BsPzf8uYALgN49u+/zWrq60txfKri5cuXlJKSQl26dKGJEyfSrl276tskFilxcHCg/Pz8WvXx7t07kfsFxGXw4ME0btw4KigoqFSXlpZWazWmESNG0NChQ0lbW5ssLCyIw+FQaWkpWVhY0A8//EAAhB7ukpKSCIDAOSQiysvLozt37sgtvwFL/dGxY8ca5Y5rk9m+NmFyFXl3pBk/NDSUPD09a7UHIDk5ucZcKhVwuVyxHCB5qrp9Dv7dr1fBtWvXaNOmTXU2fnUUFhZW+90ICAigxMREudrg7OxMFy5coLy8PPLy8iI9PT1KTk4mIyMjuY5bFTV9Jp9jZmZGkyZNqtXvk4goISGBTExMKDY2lubNm0ccDofKyspoxIgRdO7cOXJ2dqYNGzZUOu5TJ6ciPDAxMZHS0tJowIABgpA8USGasiI5OZkNd/sPI2/Hpy0Aw3///w2ApwB6AdgIYOW/5SsBBNfU15fu+FTw4MEDsrGxoVWrVrEPhF8gr169Ig0NDZlcNNesWSOUP0NcGIahqVOniqzjcrk0YcIEmeTgGDFihOAGZWdnJzSjWVH+/fffVysIwfJ18ujRI/Lz8xNKEChLgoODa5VEMzY2lmbOnEkfP34U6wGPz+fTsmXLKiXzlBYHBwexVnIqqHCA3N3dRe4BqkvHx87OrlJZixYtaOfOnfU+U75lyxaRq3nv378nIyMjUlVVrZO9tTExMdS9e3chwYply5bJfVxRhIWFkZaWltjtS0tLqWfPnlIn575//z4tWLCABgwYINI54XK55OfnR5GRkdSxY0fy9/cXqm/Xrh0BoEOHDlX6PlXcV6TJpyPJMVu2bKFHjx5JPEZDg2EYkZOfLNUjV8enUofAOQCmAJ4AaEv/c46e1HTs1+L4VJCZmUkWFhZ07ty5+jaFRQLy8vKEVjVqA8Mw5OTkJPGFi2GYKm1wdnamhIQEmanWpKen0+HDh8nIyIiWLl1Ku3fvJl9fX4ECXFBQEPXq1YuKi4upoKCAXFxcKD4+nvh8Pu3du5cuXLgg15k7lvqDy+VSjx495JL/IiYmhi5cuFCrPrKzs8nR0ZFsbGwoODi4yoe8jx8/0oIFCyqFMNWGoKAgqcQWCgsLycfHh1auXEm5ubkUGRlJa9asIRMTE5nZVh3Z2dnUvn17kQ6Ojo4OzZs3r97C3v7++2+ytbUVWbdu3Tp6+fIlbdy4sY6tKodhGHJ1da3zcZ2cnCqJz4jDw4cPBU6GJCGpERERZGhoSEePHqXp06fXqKh469Yt6t27NxGVh8etWLFCoPaYlZUl9F0KDQ0VhGC3b99erok7r127VuuojYbCmzdv2NUrCakzxwdAZwCvATQFkPdZXW4VxywCcBvA7Y4dO8r9w6hL9u3bR+/evaNr167RwYMH69scFgk4ePCg1PH/n1NcXFwpi3RNbN26VeSscHR0dI3JJEXBMIzgmOjo6EoyxKWlpRQREUGXL1+mwsJCYhiG0tLS6PTp00JZnqdPn059+vShZs2aEQBq1qwZbd26lVavXk3+/v50/PhxiexiadhUSB3Lw/FJT0+nlStXyqy/V69eiVQDS0pKogULFsj8HFatWlWr4z9+/EgrV66sM4enguzsbNLS0hLp+Pzyyy90/fp16tWrV53Zc//+fXJxcSEPDw8KDw+vcsVp/fr1dWaTKMrKymj06NF1Nt6ff/5Jhw8fprNnz0r90Hvu3DmB8/NpovbP4fP51KNHD5o5cyaZm5sLygMDA2nUqFFVRh8EBgbS+PHjBZL3x44do6ysrErtGIahGTNmEACBDHm3bt3o3r17Up1XTZSUlNA///xTqxXlhkZKSkp9m/BFUSeODwANAEkApv37XizH59PX17bi8/TpU9q8eTMdOXJEpjONLHXDvHnzqGvXrvTy5cta92VpaSn27HBYWFiVWeMrZFUlJTs7m5SUlAR9SBvOwufzKTIykoYMGUL37t2rZEvF3qBff/1Vqv5ZGhZv376lkSNHyq3/2uzz+Zy7d+/SnDlzyM/Pj2xtbQX5YSIiImq910EUsrK9LkPcKpg0aRLl5eVVWR8aGkq//fabXMbm8/l0+fJl8vT0JE9PT9q1a1eND/YlJSX18jl9zuf7HuWFiYkJ3blzRyZ9jR07lgBQp06dqmyTlJREFhYWlcr5fD4VFxeThYWFyL/RzJkzycXFRfCZmJubC02UVbBo0SL6559/BO9v375NTk5OUpyNePj4+ND169e/mhWfLxlZSs5LQnWOj0zkrBUUFBoDOAPgKBFF/VucoaCg0JaI0hUUFNoC+CCLsb4kdHV18cMPP6Bv3771bcp/niVLliAsLEyiYw4ePIjS0lLs2bMHzZo1w5w5c6QePzIyEoqKiggLC4O2tjamT58uqCMi7Nu3D3v27EFiYqKg7HN2796NxYsXY/Pmzbh161aVUqKiaN68OcrKygBApDxoXl4eCgsL0a5dOyGZ2wo2b96Mn3/+GV5eXrCzs8PatWuxadMmLF68WKhdXFwcsrKycPfuXaxduxYBAQE4f/48vv32W6iqqkJLSwuqqqooKCjAhg0b0LNnT8ycOVMiyVKWuqN9+/awtbUFl8uFiopKfZtTLd999x2cnJzQt29fBAcHIzAwsL5NarCEhYVh9OjR0NXVxc8//1zp9zdr1iw4OTlh+PDhUo/B4/Gwbds25OXlCcoYhoGCggLat2+Ppk2bYvXq1dX2weFwEBgYiIEDB2LSpElS2yJLRF0fZUl0dDTs7e3Rr18/mfRnaWmJZ8+e4cWLFyLreTweli5dKlIiXlFRUXC9VlKq/Lh44sQJ3LhxQyBvraurK/JaPmjQIDRr1gwAwOVy4eLigjNnztTyzCqTkZGBoKAgqKqq4u3btygtLYWJiYnMx6kPbt68if79+6Nx48b1bYpE9O/fv75NqExVHpG4LwAKAA4B2PpZ+SYIixtsrKmvr23Fh+XrITw8nDw8PCghIaHW8e+XLl0ib29vWrBgAenq6lKLFi3o7du39PTpU9q3b59IGe3CwkLq1q2bIBGpLGcdN2zYQM2bN6fQ0FCaPn062dvb0/3794Xa+Pr6VpIkdXJyov79+5OXlxdpaGiQu7s7+fr6UnBwMPXt25cCAgLon3/+oSNHjpCpqSnt37+fzMzMCACpqqqSoqIiLV26lLhcLu3YsUMQJ87SsHj27Bn99ddfculblis+n1IXqwNf8ooPUfnKb5MmTUSu6H38+JEWL15MsbGxUvUdFhZGrq6u9OLFiyrbfLpSUBWRkZG1ki2XNQBqvS+tKir2TIaHh8u876KioiojBfh8Pmlra1cbBTBx4kTKzMyklStXUmFhIYWFhdHMmTNp1qxZxOFwqLCwkNq0aUOHDx8ma2vrSiIEHA6HAgMDqXv37tSyZUt69+6dTM+vgh9//JHy8/Pp/PnzNGnSJOrXr59cxqkPsrKyqv09sQgDOau6Dfv3QegBgHv/vsYDaAHgCsrlrK8AaF5TX6zjw9KQYRiGLl68SLa2tmRnZ0e5ublyGSc3N5fs7OwE+VKWL19O3377Ld28eZMUFRWrjVvmcrkSZ+omIrpw4QL9+OOPBIB69OhBa9eurdTm1atXQvHbHz58oB49eohUiOLxeMTj8Sg9PZ1KSkqoRYsWZGlpSSNHjqRff/2VHj58SG3bthU4ka9fvyZ3d3ciIjp79myVeYRY6p4nT55QXFycXPr+Uh0fPp8vszHqM4QrOTmZunXrVqValomJCT148ICIyidfxNkntX//foqMjKyx3f379yk0NLRSOY/HIx8fH9qxY4fM9lnKir1791JgYKDM+2UYhqZMmUJpaWky75uo/DMNDAykp0+fiqzfunUrnT17VmRddnY29enTh7p3706JiYk0duxYgfAOh8Oh2bNnE5fLpeLiYhoxYgQ9fPiQDhw4IJfzqIlZs2YJvW8oEu2yoKCgoNrwVBZhqnN8ah3qRkQJ/676iOLrWGNkYUF5iIOZmRnMzMyQl5cHHx8f9OvXD/PmzRMZBiANPB4Ps2fPxty5c2FlZQWgPGt4ly5dcO3aNRARPD09sWvXLpmGh40fPx7jx4+vNjN5p06dhN63bNkSERERMDIyqtS2IjN3mzZtAABZWVmV2rx7904QNqKjowMNDQ3cuHEDmpqaeP/+vSA0gkUyCgoK8Pr1a/Tq1Usm/d2+fRsTJkyQSV9fC1lZWWjatGl9myE1paWlGDduHNTU1PDgwQMcOHAAS5YsqdRu+fLl8Pf3x6lTp2BjYwMNDQ00atQIrVq1QqNGjcDlcgWhNx06dICVlRWSk5OxadOmGm0wMDBAYGAgnJ2dhcr//PNPdOzYEe/fv8fMmTNlc8IyYsGCBRg8eDDWrFkjsz5jYmJw69YthIaGom3btjLr91MaNWqEkkSTjAAAIABJREFUd+/eYdWqVTh9+rSgPC0tDUuWLMH//d//wcLCAhoaGpVCw5SVlaGvr4/IyEgAQGxsrKBOQ0MDP/74I7y8vLBlyxYEBQVh2bJlsLGxwYsXL9CpUyfBvaA+uHv3Lv78808MHTq03myQFU2aNEFqaio0NTXr25QvHtk8rX0BJCYminxAY2GRBi0tLWzfvh3v3r3Dnj17EB8fjw0bNkBPT69WMeBKSkro168fkpKSBI5PcXExlJWV0bJlS5ibm1cb666srIyJEydKPb6k1GYPwOefk6+vLzIzMzFr1ix0794dERERtTXvP8nevXuxY8cO/P3331BWVkajRo1w6dIldO7cGfr6+hL3l5WVBU1NTTAMgwcPHkBPTw/q6upysFw2pKWlgcvlynWMK1euSPVZNgT++ecf2NjYIDIyEl26dAEget9KSUkJpkyZgtatW2PChAng8XiCh19RnD59Gv7+/vDx8RHbll69emHPnj3IzMwUjPns2TMcPXoUioqKEp5Z3fD8+XOZ9cXlcmFhYYHi4mKZ9VkVt27dQkJCguC9tbU1Ll++jIyMDKSlpSEyMhJqamqVfjsaGhrV/t07duwosH/IkCHw9/fHsWPHUFxcDBMTE3Tv3r1G2/bv3w9zc3O0aNFCyrMrZ+TIkULvly5diidPnnwVjg+Px0PLli3r24yvgoZ5ZZEDX+pNiqVh0759ezg6OuL48eN4/fo1tm/fjoCAAGRnZ4tsX1RUBAUFBaxfvx4lJSUi22zYsAElJSWYOnUqAODNmzfQ1taGlZUVevbsialTp0JZWRlbt27FlClTEB4eLrfzq2uaNm2KrVu3Yvfu3RKLUbCU4+LigufPn+PAgQMC57l9+/ZCm8zFJTc3F7t27cL48eNhZWUFHx8fTJs2DXZ2dmAYpta2DhgwQOYO7ocPH9C7d2+Z9vkpV69eRUpKCiZPniy3MeRJdHQ0tm/fLnB6gHLnNj8/H3Z2dti3bx8AQFVVFYsWLUKTJk0AoMbVCEtLS4SEhEBLS0ssO2JjY9G8eXMoKyvD3d0d3t7eCAgIwPHjxxus0wOgymu7JKSlpWHy5MkICgqCra1t7Y0Sgx49esDIyAhpaWkoLS1FUlISAgIC8OTJE3Tu3BmKioqYN28exowZI3HfXC5XcD0YNmwYLl26hNevX0NXVxdmZmYixXo+ZeTIkbWOmhg5cmSlv82OHTtgY2NTq34bCo8ePapvE74eqoqBq48Xu8eH5WugoKCADhw4QKGhoRQaGkofP36k7OxsWrduHeno6JCBgYFAIGDDhg2C47hcLtna2pKrqyutWbNGkCfk2LFj1LFjR+rQoQPt2LGDJk6cSJs3b6bTp0/Tzp07CQCFhISQkZGR2HlRKvYnFRcXy22jqbSkpKRQ06ZNKSQkpL5N+WpITEwUys8hyXGiEhhGRERQnz59KDExsda21TYfzuf4+fnJLaHun3/+KdN9SdnZ2YK9bXWFu7t7JWni+/fvk4aGBikoKNDp06eF6tLS0mjGjBkyT2oaEBAg0/7qit27d0u9543L5VJYWBg5ODjQL7/8ImPLqkddXV1w35k0aZJQQlRra2vicrnk4eFBHh4eEvedmJhIpqamQrmCrKysaOXKlTRnzhzy8vISKWTxadnFixclHrcChmEIAIWFhRFR+X60gIAAkXm9vmQkTYT+XwbV7PFRoBo88bpkwIABdPv27fo2g4VFZhQVFeHgwYN4+PAhNmzYUCk+18nJCSoqKtiyZQt8fHywePFidOjQoVI/BQUFMDQ0xOLFi2FpaYmnT5+iadOm6NatG7S1tQVtYmJiMHPmTFy6dEmsmbuKWbqGNsNqb2+PMWPGCMl+s0jH+/fvoaioiFatWkl87K5du2BnZydSyrqoqAiDBw/GzZs3oa6uDmdnZ/B4PAwZMgRPnjyBlpYWDhw4AAsLC6HvGcMwgn8BoGvXrliwYIHEtjEMg6ysLKSkpCAlJQUA8OLFC/B4PAQEBEjcX03k5OTA19cX27dvl0l/FhYWMDQ0RLNmzURKCcsLDw+PSntwCgoK0LNnT7x9+xba2tpYsWIFVq5cCQBISkrCiBEjUFBQIJPx8/Pz8dNPP0FXVxfW1tYy6bOu0dbWFrlvsSYCAgJgbm6OkpISDBo0SA6WVQ3DMDh+/Dhu3ryJgIAAoT2U69atw7fffotdu3YJ7eGRhMuXL+P8+fPYtm0bACAkJARJSUk4duwYFBQUcOLECUybNk1IjlmWMvlmZmYC2//44w+kpKRg3rx5Mum7ocDn8+t1z9SXhIKCQhIRDRBV95/Z48PCUh+oq6vD0dGxyvrw8HCEhITA1tYWJSUlIp2eZ8+ewcPDAwkJCYKH18+FBoDy0JTp06fj/v37GDt2LHbu3AkHB4dq7WtoDk8F9vb24PF49W3GF0tJSQlCQ0NhY2ODtm3bwtbWFgcOHJCoj8TERAwePLjKBxN1dXXs27cPkydPxpkzZ1BYWIhVq1YhPDwcwcHBePfuHTw8PGRxOsjPz4ePjw+ICFwuF1paWsjNzUX37t3RqVMn9OjRAwDQrVs3DBkyRCZjfo6npydCQ0Nl0tdff/0FPT29GvPYyJp9+/Zh3LhxAMofhMvKyqCiogINDQ3BvqXs7GwUFBSgtLQUysrKUFRURGFhIeLi4qQKgwLKw3UvXLiAxo0bo7S0FO7u7l+0OMS2bdtw9uxZTJkyReJj6zqvX35+PpSUlKCurg4rKytB+OuntGjRAs7OzujTp4/U4zx79kxIcGfFihXo2bMngPLIounTp2PGjBlCx8gyN9jo0aORk5MDFRUVFBYWIjExEbdv35bZb7a+CQoKgpGR0VeTl6g+YR0fFpZ6ZsWKFThw4AD2798vsj44OBgzZ86sdsb+0KFD2LhxI5o1awYFBQXs3r0bqqqqyM/P/yIfMIyMjKCgoID9+/fDzs6uvs354igtLUWnTp2gqamJvLw8iZWANmzYgF9//RXR0dHVths4cCCOHTuG3r17IyYmBrq6utiyZQsACO0hkZZ79+7h0KFD4PP58Pf3h5aWFpYvX47g4OBa9y0JZ86cQYcOHWQi6sAwDNzc3PD777/LwDLJaN68OQDg0qVL2L59O8rKyjBy5EgkJSXh9u3b8PLywvDhw+Hj4wN9fX1YW1ujX79+AmW/9+/fSzTe/v37UVhYiJYtW8La2lqwX+hLx8rKCgoKCigrK5Nob4os9gdJCo/Hq9HGuXPnwsnJSSLH548//kCbNm3A4XDw8uVLvH//HkZGRti9ezcSExOhp6cnSJoNlO8zlCeDBg0SiCNUXC8aN26M+/fv4927dxg/frxcx5c3ixYtqrX4Q0Nh586dmD17ttj7AWUN6/iwsDQA7Ozs0K5dO4wdOxabNm1Cq1at0KpVK7i7u+P58+fIz88HAOjq6mLAgP+t3u7duxf5+fk4efIkHj58KCh3d3dHz5498fTpU6H2gHg3woaAm5sbxo4dW99mfJE0bdpUIAWsqqoq8fHe3t7w8vJCREREjWFYrVq1QocOHWQ6e3vjxg3s2bMHXC4Xhw8fFlqZ7NSpE2JiYur0QSYpKQkbNmyQSV9v3rxB8+bN62W1VUtLC8HBwRg2bBiOHTuGpk2b4vbt21iyZAny8/NRXFyM69evY+zYsWjWrBliY2NhZmaGhw8fwtXVVawx3rx5g8jISHA4HBgYGGD+/PlyPqv64d69ezh16hTmzJkj9jF1fd3l8/lISkqCqalpte0+fvwIXV1dmJubw97eHnv27KmyLY/Hw/fff49x48bh7du3aNGiBYqLi3H48GGMHj1aIJpw8+ZNoev3mDFjEBUVBQsLC5md36cMGzYMy5cvR2pqKhQVFdG0aVPExsbiu+++AwDMmjULhoaGMDY2xuDBg+Vig7z4+eefYWlpWd9myIzqomDqAnaPDwtLA4KIkJCQgBcvXiAmJgYpKSk4cOAA+vTpAz8/P2RlZaGoqAj79+/HtGnTYGhoCC6Xi8DAQKF+FBQUalTSaegMHDgQ58+fR+vWrevblP8stra2aNWqFYqLiwUO+LRp06CmpgYHBwfBw7u3tzcmTJiA77//vlbjZWVl4dWrV7C1tcW9e/dEPigyDANTU1MsW7YM5ubmIvvZtm2bQL1KSUkJCgoKGDlypFTO0saNGxEVFQVPT09MmzZN4uM/x8bGBvv27auXyYf169cLJlmq49GjR9ixYwe+/fZbODk5Yc6cOTAwMICnp2eVcv3Pnz/H5cuX0ahRI0yZMgXNmjUT2s/xNbJhwwZ4e3uL1ba0tBQqKirgcDjQ0NCQs2XlBAQEYOXKlVBWVq5xwktdXR3FxcWIiorCy5cv4ebmhtTUVNy5cwdmZmZQU1NDWloa+vfvj/j4eJHKiU+ePEFOTg6GDBkChmFgaWmJqKgoAOX56HR0dOR2X7px4wa8vb1x7949jB8/Hvn5+UhKSkJ6ejr09fXx5MkTQb645ORkudggD1JSUpCTk4OBAwfWtylfFOweHxaWLwQFBQUYGxvD2NgYNjY2yMnJwe3btzFp0iSkpqaic+fOePXqFZo1a4bWrVtXmUjvS5eCLioqwjfffCNwepydneHo6CizpJws4nHw4EEA5TPVCxcuRI8ePXDx4kXw+XzMmDFDIKzh7e2NwYMHY+PGjVKvxISEhCAmJgaqqqo4dOhQlQ9pioqKuHLlCtq1awdTU9NK4WcMw+Dp06eVfgN+fn4oKirCX3/9BaA87MvLywuKioq4c+cOjh8/DiUlJYHwQkZGBu7duwdDQ0PEx8fDw8MDHA6nVvK4DMNIJSsuKz5+/Fij0wMAPXv2hIuLCzZv3gx3d3d06NABWVlZKC4uFnzefD4fERERUFX9f/bOPK7G9P3jn8pEkjUyNAajYcY2fDHWjIwxYxvEWBrbJCnZUlFK9iUiIXv4ZskSmiyRnbGPSLaEqEaR9u10ls/vj349X8c5J6c6Fea8X6/zenXu+36u53pO5zzPfd3XdV9XJchkMtSrVw8TJ04sUR2zj42oqKgiH5Oenl4mhk9aWho8PT0xZ84cAPkJLAoLLYqPj0e9evXw1VdfITg4GCdOnEBkZCSioqLw+eefo2PHjkhISICNjY3KdPFvlw3R1dWVq+FTu3btUi2+2alTJ3Tq1AldunRBSEgIhg0bhq+++grPnj2Dvr4+OnbsiD///POjSwtta2uLnTt3lrcanxRaj48WLR8ZOjo6aN68ucoV8YKVxbL+baekpMDAwKBYoVXvQlJuApWWlgZDQ8OPIkTvU8Lf318IVQoLC8OZM2egq6sLXV1dxMXF4dtvv8WMGTOgq6uLvLw8tGzZEo8ePSrWuXr27ImjR4+q/f2ZP38+srKykJ6ejuXLlwuTyZkzZ2LUqFFo0aKF3HiZTIaAgAAMGzYMlSpVws2bN7Ft2zZUq1YNenp6Cl7T9PR0YbUYyA93W7p0KaRSqbCKXVSOHTuG1atXY+HChWW6giuTyeDu7o6srCwh65Y6PHjwAHv27MHevXvx+PFjNGvWDA4ODoiNjcXSpUsRExOjNNFKUXjz5g28vb0hlUoxevToUq3BpGk2bdqEXr16qb2fbcKECdi0aVMpa5VP7969cfLkSbWfA+vXr4ejoyO6du0KfX19uLq6onHjxhg7dixq164NiUSCqVOnwsbGBvfu3VNL5qBBg3Do0CEA+ffw6tWrl+pzSSwWw8nJCX369MHz589x5coV+Pv7o3nz5oLBM2bMGDRt2hQuLi7aDGmfMIV5fMq9ds/bL20dHy1a3o9YLCYAbty4UWn/kiVLCIAPHjwoVT3w/zUh9u7dS5IMDg7mmjVruGPHDtrb23P27NnMyMhgSEhIkeTm5eXR09OzFDTWUlTGjh1LAHRxceHOnTuF9gULFnDatGmcNWsWR4wYQWtraw4bNowtWrTg/v376eLiwosXL/Krr77iyJEj33uerKwsDh8+vMj6vX79muPGjeMvv/zCIUOG8NmzZ/Tw8CiyHHWQSqVs1qwZv/vuO4pEomLLefPmDadNm6ZBzf5HWFgYp02bxjdv3si1e3p6MjIyslgyhw4dyl69enHLli28cuUKHzx4oFAHqKjk5ubS1NSUubm53LFjB0eOHMlVq1Yp1BD60BGLxRwxYoRaY9PS0linTp1S1uh/2NjYEABlMhmPHDlS6Nj4+Hjhfg6AvXv35qZNmxgbG8uYmBjevXuXDx8+FPpjYmIKlScWizlo0CAOGzZMaNu8eTOrVKmikWtTRqtWrejk5EQvLy8CYEBAAL/88kva2trSyMiIAIQaev3792f+9FdLeZOamloqclFIHZ9yN3befmkNHy1a1Gf27Nl8/fq1Qru5uTmtra3lislpkoyMDNrY2HDOnDns2LEje/XqRZL86aefaGBgwNzcXA4ePJhnz55lVlaWYPh4enrSw8PjvZPGGzducMyYMaWiu5ai06xZM2HCs2zZMqakpNDW1pbLli2TGycSiejk5EQ7Ozvu3buXc+fOZWJiIq2srJiRkaFSfs+ePWlvb8/nz58XS7/09HR+//33TEtLY48ePdQu4lscnj59yu7du3Ps2LElkvPjjz9qSKP/MXfuXI4YMYLu7u5yv7Hz589z7ty5xZIZGBjInTt38urVq5w6dSqfPHlSbP1Wr17NqVOnCpPw3NxckmR0dHSxZZY1BTq/DQB27tz5vcc6OTmVaQFKAKxZs6ZaY62srOQMHz8/P3799dcKRUeDgoJYs2ZNNmnSRKmc6Oho/vTTTzQzM+OWLVvk+hYsWKDW51RcALBWrVoUi8WcMmUKp0yZQgB88uQJ58yZwyFDhvDLL79k48aNaWBgwC+++IISiaTU9PnUyc7OZlZWltK+1NRUpb8VZSgrbKsJtIaPFi2fIFKplJMnT+b06dPlVmAXL17Ma9euafRc+/bto6urKwMCAti9e3emp6ezUaNGPHv2LGUyGQMCAoSH5qJFi+ju7q6wwiwSiZQaPqpufDKZjFZWVhq9Di1FQywW09jYmHp6esL/19HRkRs2bGBaWppaMq5evcqGDRuq7B83blyR9CnA19eXXbp0oY2NjTB59vT05LNnz9SWVxRCQkJob29Pf39/2tralkjWmjVrFAzHknLy5EmGhITQ1dVVrn3atGnFXgRxc3MjSero6NDU1JQLFy5UOVYkEvHw4cMUi8WMi4ujv78/d+/eTS8vL86dO5eXL1/m1atXefbs2WLp8iGg6nOcMmXKexd0pkyZUhoqKeX58+c0MzPjoUOH1Bqfk5PDL774ggYGBgTANm3acM+ePUrH7t69mwCUGg2tW7fmxYsXFe4N8fHx/P333wtdAHkXdb2qOTk5bNq0KXV0dPjw4UNu3bqVUqmUz58/51dffSXct86dO8f169cL73/66SfGxcWprY8WeWJjYxWM2wLu3LnDixcvUiaTMSYmhj4+Prx06ZLCuOTk5FLTrzDDRxswr0XLR4quri68vb2hr68PPT095OXl4cWLFzA0NMT9+/cREBBQ4nPs3bsXly9fhq+vLzIyMiAWizF8+HAMHToUW7duRY8ePTB06FBMmDABMplMbl/Ou3Uu9PX1MX/+fAQFBWH37t0ICgpCtWrVkJ6eDrFYjNTUVEgkEujr6+PBgwf466+/tJlsypkKFSpAKpXKxeWfOXMG3t7easto3749JBIJrl27JletPj09HZUqVUJubq7CMQcOHMDly5dhYGCAvLw86OjoICIiAsnJydDV1UW9evUQFRWFiIgIubTQ06ZNg5ubG/z8/Ip5xcpJSkrCjh07sHnzZuTm5uLWrVvFknPr1i2sWbMGVatWRWZmpkZ1fPHiBWrWrIl69erh8ePHMDMzw9atW/H8+fNi77vLzs6Gm5sbBg4ciHbt2iEzMxPJyclCPaDMzEzs3r0bffv2xZkzZ3D27FkkJiaievXqGDVqFNLT04WxQP53RyQSaeR6ywNVn6ONjQ28vb3h6uqq8tgGDRqAZJkkf6hbty6sra3VLgdQqVIlVKlSBbGxsQCArKws/Pjjj0rHjhgxArt374aRkRG2b9+O3377DVeuXMHChQtRrVo1WFtby+3zCwsLQ1hYGHx8fNRO6iCTyUASUqkUenp6hWak27FjBx49eoR169bBzMwMPj4+MDExwXfffYdNmzbh8uXLWLduHWbPno379+/j22+/RdeuXXHgwAFYW1sjNDRULZ20yGNqagpra2ulfa1atQIAvH79Gjdv3kS3bt3Qtm1bhXHx8fGoUaNGqeqpFFUWUXm8tB4fLVqKDgBhxTsrK0vwvpQUT09P+vv7k6RciMvcuXMZFRUl7DVStfIfFBTEZs2acenSpZw3bx43btxICwsLpqSkMCMjg9u2bRNW30aPHk1TU1PhvZGREe3t7Ut8DVo0y9KlSwmgyHtczp8/Tzs7Ow4YMICnTp2imZkZa9WqxenTp/PHH39UkGdra6t0H8HDhw/Zp08fenp6Kg2RSklJ4eDBg4t2UWowfvx4pqSkkMz3UBY31G3UqFHC3+/uaRGJRAwMDKSLi8t7wz8SExPl3oeEhNDHx4dkfjje2LFjmZCQwIkTJ/LixYvF0vVtpk+fTjLf47Zw4UKuX7+ec+bMoY+PD+Pj43n48GG1PG0ODg6sWrVqifUpD7KysoTvgDLMzc1V7md8+PAhdXR0SnWF+10mTZqk9tiMjAzh/tu1a1f++uuvhY6/cOEC27dvz2+//ZbNmzfn77//ztjYWJL5v8G6desSAJcuXcq///6bZL4XoCi8HUYlk8lUjis4l6GhIe/evcunT59SLBbzwoULnDRpEitWrMhjx47R0tKSP/74IydMmMBu3brR1tZWpcdCS9mwf/9+BgUFUSKRFPo/Lg7Qhrpp0fLp0qdPHwKgnp6eMIG8evUqBw4cWCK5AJTGpBdszF6yZAkjIyM5e/ZstWVmZWVx69atbNSoEb/++mu5UIyCzeP29vY0NjZWCNnR8mHQvHlz6urqcuXKlSTzw2qWLVvG6dOn09XVVeWkvV27drx69SptbW2ZlpbGjRs38saNG7S3t2eHDh0olUq5fft2Ojs709fXV2XyDhcXF4aGhnLKlCkKk/rdu3dzw4YNGr3erKws9u7dW9g7MGvWLP7www90cHAokhw3NzdOnDhRrm3KlClC+JSzszNDQ0N5+vRpenl5qZSzbt06uru7087Ojn///Tejo6Pp6OgoN0YkEtHS0pJLliwpko6quHr1qkb2Tq1evbrUYvrLipCQEKUGDgCVRt2wYcPYqFGjUgvD1ARNmjQhADo4ONDZ2ZlXrlxRORm9desWxWIx+/bty9GjR3Pw4MHCQkVqaioBKOz/yMvLK5I+6oy3t7enjo4O9+/fr7Q/MTGRY8eOpaenJ6tUqcLKlSuzSpUqQrIDExMT3r9/v0h6aYKjR48qJCD5GIiOjmZgYKBaY2UyGY8ePaq07+zZs1y/fj2vXbvGv/76i9nZ2Rrfb6U1fLRo+YRJS0ujtbU169Wrx2nTpgmrwY6OjqxevTrPnz+vsKJubm7Orl27skaNGty3b5/CA+7Vq1f8+uuvFc719OlTYZJlYmLCqKioYm+cVoZEIuGDBw/YuXNnenp6llrGFy3FJyMjg/fv36euri5lMhl79eolTHqioqJU7tnp3r27yj0Sjo6OQka4ly9fsmfPnrSzs1M69j//+Q937NjBN2/eCHtQSPLly5ccNWqUxifW8+bN47p167hq1SoGBAQUS4aDg4OCcVIgOzIykjk5OXL7hpYtW0YXFxe6urrS3d2d27dvZ0pKCq2trTlv3jxhnIeHB+fNm6f0mr/66iuVm4+Lw4YNG1ROMNXF29tbQ9qUHyKRSKnH88GDB0o97bt27aKvry9r1qwpeLQ/RH799VcCYHZ2Nrds2cLZs2fT19dX6VipVEqJRMLMzEzu3buXgYGBwjPEw8ND5W9Xk5w/f54AFDxJIpGIf/75J8n8TKOrV6+mpaUlhw4dSgcHB65YsYJSqZR16tQhAG7atKnUdSXlE5pkZWVRJpMVac/Th0BGRgZ37NhR5OMkEomct1MsFvPq1auMjY0VFtA0jdbw0aLlX0JmZiZnzpzJ2bNnc8qUKVy5ciUB0NTUlCS5Y8cOLl26lP3796e7uzuDg4O5fv16VqhQgY8fPyaZ/1CztbXl9evXFeQ7ODiwRYsWjI2N5a1btwhAY6vK72JnZ8euXbuWimwtJcfPz49169ZVWP3u3bu3QigWSQ4ZMkTtiXNiYiIHDRqktC8lJUXwtrztQenTpw/Dw8PVVV9t3k5XbGVlpVZa6IJECOPGjaOVlZVKD07v3r0pEono5+cnhAQpIyAggB4eHnz58qXaer9tFGqKNWvWcN68ecVKZx0SEsLz589rXKcPibZt28q9X7RoEX/++WfWq1ePgwYNYocOHbhnzx62adOm1HV58+YN9+3bp9ZYmUwm3M/J/JDMnj17Fhp+FB4eLvQHBATw7t273LZtm9Lnhqbx8fHhN998I4R3vs27UQpnzpyhjY2NYIzdvn2bq1atYr9+/bh27VoOGDCg1PUlWWKPhrq/uaJ61kqLmJgYpqSkMDc3l4GBgZwxY4ZCqGdqaioPHz5MkUik8Sy0WsNHi5Z/EcOHDxeMnRs3bvDq1atct24d582bJ2RWwf+n+fz5558JgL6+vjQ2NmZgYCCnT5+udOJawOvXr+ni4lLq1/HmzRsC4MSJE8s0Nl6LekgkEgJQ8DYcOHCAQ4YM4ZIlS+T2xQwdOrRIRvK7YWEFREVF0dLSkuT/JvcikUjje8IKapG8HXInlUppZ2fHzZs3F3ps586d1cp6N336dE6fPp09e/YscW2cArKyshgZGVnilNuquH//PmfNmkVnZ2du2bJFbQ/b4sWLS0WfD4mgoCCePHmSJHnt2jXWrVtX8BDt2LGDQUFBJPPvv0UxYotLWloaY2JimJB11FpbAAAgAElEQVSQUOi4mzdv8syZM+zdu7fw/9y1a1ehxvjbmJqaCgsEEomE48ePL5niheDj48PRo0fz+vXrau8LOXHiBGvXrs2kpCQuXLiQNjY2fPnyJV+9eqV2yu/iIpPJSvTbLopX6PXr18zJyWF2djbJ/PTrL168YFJSUrHPX1xEIhFjYmIEXa5fv65yv+GDBw+4fPlyjZ5fa/ho0fIvIiMjg76+vnJ1Gfr27UsyP61o06ZNGR0dzefPn8uNCQoKIgD26NHjvecYOnRomcTqHzx4kCtXrmT9+vW5devWUj+fFvXJy8sjAIWVOicnJ37++edcvHgxLSwsSOZPwKpUqcIVK1aoLf/tRADvUjDJKtgHFh0drfGJ9YoVK3j48GGlfQWb/d8mKyuLUVFR9PHxoY2Njdrnefr0KUePHk13d/di6/o2HTt2pKura5kUA71+/TpnzZpFFxcX+vv7Myoqijdu3FAIsVu+fHmx6zR9SDx//vy9izBbtmyhp6cnnZyc5JIh4P+LiZL5qccNDAxKPdQpJCSEP/zwQ6ELWWR+TZb09HThWSCTySiRSDhjxgy167GUBampqfz888+FRArv48WLF9y6dSv9/Py4c+dOdurUiXfv3pULVaxdu7ZGdEtPT1f6TMzNzVXp7XmfQaqKAnnv8+6IxWKlnpS7d+8W67wlIScnh3FxcSrvA6r2AxWXwgwfbTprLVo+MapUqYLJkyfDyspKSCG9fPly6OjoICkpCR07dkS1atVgbGyMkJAQHD16FCNGjMCcOXMwYcIE9OnT573nMDAwkEsjXFqcO3cOhoaGiIuLw507d/Dbb79h3759pX5eLe/ns88+g5ubGzp06IA7d+4IaXozMjJw/vx5mJmZ4fHjx8jOzoanpycsLCwwY8YMtWRv27YN3bt3V9lftWpVABDOmZeXBwMDgxJekTwPHz7E9OnTlfb169cPCxcuROXKlREQEIAGDRpAR0cHPXv2ROvWrTF16lS1z9OoUSPs2LEDly5dwtChQ7F///4S6V2vXj28ePECtra2JZKjDu3btxdSzt+4cQOnTp3Chg0bcOLECVSuXBlAfkpbAwMDNGjQoNT1KW3UuQZra2shDfPbzJw5U/i+du/eHTk5OTh37hz69etXKroC+d/TwMBAuZTiyjAwMIBUKkWVKlWQmZmJ6tWrIy0tDV26dEHFihVLTb+ikpWVhZEjR8LU1BRAfjr1wlJkz5kzBwcPHoS5uTmOHDmC0NBQtGjRQm7Mb7/9hoiICCEFc3HZt2+f0vTOhX1+JiYmRTqHRCKBjo6O8N367LPPhL7s7Gzo6OjI3QcrVKiA5ORkhTTsTZs2BQCcPn0ajRo1QuPGjYukR3GoVKkSjI2NcerUKYhEIpiZmcn1qzPv0BiqLKLyeGk9Plq0aJ4nT57Q2NiYlpaWbNmyJZs0aSKXySYzM5OGhobvDd95Gx8fH65YsYIikUgoFlca9O7dWy6tcUZGhtbz8wFx/vx5tm3bll5eXszJyeGgQYPkNkT369ePbdq0Yd++fXnhwgW15SpLBPA2BR6fgnFSqVRlaFxRePjwIcn8/QvW1tYqx1lbW3P48OE8efIkY2Nj+fTp0xKfmyQHDRqkEc+PWCxmv379NB43XxgFYYDvfhYLFiwocvrzTxEbGxs5j8CFCxdYq1atUj/v7du31S4Eff/+fR47dkzw/GzdupULFiwoZQ3VJygoiFWqVBFCxwrzmMXFxREAO3TowGbNmnHnzp38/vvvhedJcnIyJ06cyPDwcCEEsbhMnjxZ40krHj16xFevXvH169dCW1paGpOTk5X+rp89e6YQUuft7S2XVOFdHjx4wGPHjim0ayrsVhn37t2jk5OTQvuWLVs4a9YsjRWVhTbUTYsWLYWRkJBAIyOjIh3j5+fH4cOHc/z48Zw1axbHjRtX4qxPb+Po6Mi+ffvKVXr39fVl9erVNe4W11IyZDIZZ8+ezV9++UVpv52dHS9fvqyWrMTERKWhZG/Tp08fkvmGFfm/zIbFZe7cuezbty+bNGnCgwcP0sLCQmU4TUF4V2kRHBzMgQMHlnjyERMTQ0tLyzILMZs2bZpCauALFy7w3LlzZXL+ssDDw4MeHh7FOnbRokVy+75yc3NL9XtUQEZGBps1a1akY86ePUsA3L59O/fv38+hQ4fy4MGDpaSherx584a6uroEIOwVUbVn8O7du3RwcGCdOnXkwsEcHR2FcMMZM2Zw0KBBBFDixANOTk5yz6mSIJVKi1XTRlUGx6SkJIpEoiLtKduzZw8NDAyE9+np6UXWp6hs3LiREyZM0Fg5Aq3hU0JevXpVJv94LVrKC5FIxIYNG5b4ez59+nRGR0czPDycN27c4KpVq4ptpNSrV0+hrWnTply1ahVPnDhBNzc3jRc901Iyrl+/zvr16wsZAgv44osvOGzYMLX2NMTGxtLT07PQMR4eHtyyZQt//PFHmpubc/HixbS1teXGjRu5fft2btiwgREREWrpbGdnx2XLlpHMn3TY29ur9H7m5OSUyMBSFysrK964caPEcgpqrZQ2zs7OSjfCq6rF9LHi5OTERo0aFasGS2pqqjBRf/36Na2trfnq1StNq1hiUlJSOG/ePAJgpUqV2LZtWx48eJDHjx/n5s2bS9UboAyJREKpVMpWrVrR2tqa/v7+BMDw8HCFxYlDhw7R3d2dr1+/5hdffKHw3XdzcxO8biNHjuTZs2eLVOi1LChuMgRNZnN797la4GF62/tUUg4ePMjbt2/LtcXFxWlsUVNr+GiAEydOlLcKWrQIZGRkaHxj7G+//SZXI6Q45OTk0NHRkRs2bOCWLVv48OFDjhkzpshydu7cqbQWxNs1NP766y927NiR8+fPp729Pb29vTlnzhxu2bKFq1atkguR01J2ODo6csqUKdyzZ49c+99//8369eurFfZUWKjbX3/9JYTi3LhxQ6Xxu3jxYurq6hYaOjZ9+vQieSnd3NyKVceiqMTHx7NHjx4aSdjg6OhYqpNVDw8PIVvk27x69eqTC0v19/dnnTp1uHv37mIdv2zZMlpbW9PV1bVcFlNTU1Pl6kUVhq+vL5csWSIYEb169eI333xDPz8/Xrt2rZQ1/R9isZienp5s2LAhyfxJecHvf+nSpSTzvcTW1tb09PTkf/7zHwJg9+7dFRIzpKSkMCAggNOmTaODgwPPnDlTZtdR3shksvcmuRCLxYUmXNBk6OzVq1e5fv16ubY7d+4UGppXFLSGjxYtnxj169dn/fr1NSrzs88+E/Y4aIpTp04prbWgDvb29oyNjZXLjPQ2S5YsEeq2vDv5nTVrFr29venl5aUx17mWorFhwwYFI8HW1lZp1Xsy/39YEK7h4eGhkAHu4sWL9PLy4rZt2xgZGamWAVUwQVLFyJEj3yvjbe7cuSNkkisNDhw4QF9fX+E7X1T9lHH//n3+/PPP9Pf3L7Gsd1mwYAFPnz6ttM/T07NMMj+WJfv27ePMmTM/2j1Lr1+/FkoEbNy4kW/evGF8fLzK6+nRowelUil9fHwYFRUlFJ50cHAocXiYOkilUtaoUUPBu5+ens66desSAPX09Pj48WOGh4dzwIABBMC//vqrULlisVgIyxWLxUXOXPexFR4tICIiotB7ikQiKbJxUxTjMTY2Vq00/5qgMMNHm9VNi5aPkLt372pcplgsVshEVFJOnTqFJUuWFOvY1atXo0OHDqhRowYOHTokZPIq6Pvvf/+LkSNHAvhfdi8AuHfvHqpUqQJHR0cAwM2bNzFx4kSsWrVK45m/tKjG1tYW27dvx+jRo7Fu3ToYGRnh2bNnMDc3h0Qiwb59+7BhwwaMGjUKlStXFrIVSSQSnDlzBpUrV0aHDh0QEBCAZs2aoUWLFnB2di6SDm5ubli8eDEA4MWLF0hKSkLbtm0BAI8fP0atWrWKJK9u3bp48eLFe8dFRERg/fr10NXVxbBhw2Bubq4wJi4uDvXq1cPmzZuxbt06fPvtt5BKpcjLy8Pq1auhr68PMzMzDBo0CIcOHSqSnu/qIhaLERERUWwZACCTyXDkyBFcu3YNAJCSkoL+/fvDwsJCYezOnTsxbNiwMsn8WFYcOnQIQUFB+P3336Gvr1/e6hQLY2NjjBs3Dr6+vjh69CgWL16MSpUq4f79+5g7d65CZjNTU1NMnDgRmzZtEtq+//571KlTB4GBgbC0tFTIGPYuyjLcqYNIJIKxsTEyMzMxYsQIuXu8kZERRo0ahUePHuHXX3/FvXv3YGlpCSMjI8TGxgpZ31RRoUIFHDt2TPi74L5ToYJ6U+KCjIUfGy1btsSKFStU9uvp6RX5f9WoUSO1x77v/1JmqLKIyuP1MXl84uPjy1sFLVo0SuvWrYtUZ0Udpk2bVqzj/P39OXDgQIaGhrJXr14KmYWUhcEVcP78eW7ZskWuLSUlhT///HORMotp0QyZmZmcP38+p06dys6dO3Px4sV0cHBQKxRxxYoVxdpP8TZ4q1ZVwcvS0pIAuG7duiLLGzRoUKEJA1JSUuTCO6dNm8YFCxYI3kkyf0/MwIEDOXr0aB44cKBQz4i/vz+HDRvG7du3c9SoURw8ePB790CR+d4pW1tbnjp1iiEhIezWrRvd3d05b968IhfPzMnJ4ZgxYxgSEvJeL05CQgL9/PyKJP9jICMjg/v27ftovT0FxMbG0t7eXuH/CEAhw1deXp4QYvYu7u7u7/WU5Obm8vz580XWce7cuRw1ahQbNGhACwsLPn36lBcvXuSpU6d4//599u7dm35+fgTAwMBAzpgxg8+ePSvSOR49eiTov3nzZoaFhal1XF5ennZvaQmQSCTFDhUtCijE46OT3/9h0K5dO968ebO81SgSmsj/rkXLh4COjg6qVq2KtLQ0jcn08fFBr1690Lx5c4W+Nm3aoF27djAwMICJiQnatm2L48ePIyMjA61bt8a0adOEsRYWFggNDYW+vj6Sk5OxcOFCrFy5Uuk58/LyMG3aNPj5+cm1X7x4EcuXL8cff/yBgQMHauwatagHSZw4cQI9e/aUqz9R2iQmJsLU1BR6enpwcnJCZmYmFi5cCH19fezduxfPnj1D//790aZNG7XkpaamwsbGRmW9HTc3N/z666/4/vvvhbYXL15g165dSEhIgJ6eHgwMDLBo0SK1ryEiIgJhYWEYM2YMEhISsHv3bpiYmGDy5MkKXpXs7GzExsZi8ODBuHv3rly/RCJBdnY2Fi1aBDMzM4wfP17u2LCwMISGhiIlJQXffPMNYmJiYGhoCJJwdXV9bz2YnJwcLFiwAIsWLZJbodfyYZGcnIzNmzfD2dlZ+H6MGzcO27dvR0pKCqpXrw6SSElJQa1ataBsnjh16lSsXr260PPk5uZi8uTJGDx4MH755Re1dHv16hWuXLmCnTt3olKlSujXrx82bdqELl26QE9PD3PnzgUAjB8/Hm3atMHo0aMLreWjiuzsbOjr60NPTw8NGzbE8+fP1T42Jyfno48eIAmxWPzRei/fh46Ozt8k2yntVGURlcfrY/L4FPChZQTRoqW4HDx4UOO1CEQiEUeMGKF0lfju3bscM2YMfX19aW1tza+++krlamrnzp3lZIwZM6bQOGs7OztGRkYK76VSKUePHk0yP42pFi1nz56lubk5L168SEtLyyIda2trK8Sqb9++nePHj6ednR0tLS3ZoEEDZmdnl4bKcqxatYoNGjTg2LFjaWlpyVatWtHV1ZVOTk709PTk4sWLC83oFhoaSgcHB44cOZILFy7kxo0bOXfuXKH/4cOHRdpjlJOTQxcXlzK59vIgJCSEHh4eFIlEDAkJ+eg9P8nJyVy/fr1cGuY//viDP/74o5A0RCaT8fjx47x586bC8ar2uonFYjmPSMOGDdXe55mamqqQUfHSpUv09vYW3uP/vbbR0dFqyVRF69atefLkSZLUeKTDx0BeXh4fPXpU3mqUGtAmN9CiRYsqZDIZRSIRO3XqpHEXflZWFocOHaoyq1RhIWsFREZGKoTMRUVFsXXr1ioTH4wbN05uE6Wrq6sQarRq1Sp11dfyCbN27Voh+cKuXbuYmZmp9rFZWVkcPnw4nz59yilTpgiT4IyMDDo7O/PFixelovO7DB48WPhb2URc3YyK8fHxCtntJk6cqPL39S4SiYQzZ878pMs+ZGRk0M3N7aM3fN41THbt2qWQ1CYoKIjr168XxllaWjIpKUluzPz58+Xey2Qyjho1igCEbITp6elCmuXCDBWRSMTTp09z0aJFCkkTpkyZwtDQUOF9geFT1IQE7/Lbb7+9NwnC24jFYkokEm2YWxmQnp6udvZBVRRm+Hw6Ow+1aNFSLEJDQ9GtWzc0bdpU4+Epy5cvR7Vq1VRuGu3Xr59CSNq7hIWFYdy4cXJtZmZmWL58OVxcXADkhx/JZDJs27YN6enpACAkQ5DJZIiPj8d3330HAMjMzIRYLC7RdWn5+Jk0aRJGjx4NIP87UZQNy5UrV8a2bdvg4OCAGjVqCOEilStXRk5ODr744otS0fld3t6IrCxk5Y8//hB+I4VRr149DBkyRHi/fPly2NnZoXr16u89ViKRwNXVFS4uLjAyMlJT84+PgrAoKysrXLly5aMNEcrKysLnn38OHR0dxMfHY8SIEQgODpYbM3jwYGzYsAHDhw/Hy5cvER8fjylTpsiFvNWsWRMzZszAwYMHAeQvooeHh6N3796YPn26ME4mk+HMmTPw9fVFTk6O3Hnc3d3Rp08fBAQE4Ouvv4arq6vcdzosLAwvXrxA7969hba4uDhBbnERiURo1KgROnbsqNAnkUhw8eJFhXZdXV3o6uoqDfvTolmqVKmCtWvXlpp8bVY3DVPcDCZatJQH9+7dw8mTJ4VMTZrGw8MDVlZW8PLyUjoBa9euHQ4cOIB+/frhyJEjSmUMGTIE7u7u2L59u1x7r169sGPHDmRnZ2PAgAFo0aIF6tWrhx9++AFGRkYYO3YsDA0NkZiYCDc3N+G48ePHY/z48di2bdsnlXVKS/E5d+4cbt26hdq1ayMuLg737t1Ds2bNUKNGDYSHh6Ny5cpo37493rx5gy+++ALOzs6oVKkSYmJiEBQUJMjx8fGBtbV1men92WefwcrKCrt27VLab25urvC7UYfU1FS19q7+/fff+PPPP+Hm5qaWkfQxo6+vjxYtWuDw4cMwNDQsb3WKTbVq1fD06VOMGDECTk5OkEgkyMvLg4eHB2bOnCnsl9myZQtu374NZ2dnuLm5ITMzE0OGDMH8+fPRvHlzTJo0CVZWVqhatSpkMhl0dXVx9epVSCQSIdNbgSFsYWGBc+fOCVkLC4zGRYsW4dtvv1X5m/Hz88PEiRPl2urXr49vvvkGPXr0QKtWreQyzqlLxYoVYWpqqnD/nzt3Lq5cuYJGjRqhW7ducn0FY7V710ofHR0dVKhQodTm01rDR8NUqFABwcHBGDBgQHmrouUjIy0tDUZGRmU6GZ8zZ47CKlxJmDdvnrBpdM+ePTA2NkafPn1w+PBhpYZPeHg44uPjC314mZqaIiEhAenp6ahatSokEgn8/f1x6tQpVKxYEQMGDICJiYngOXJ3d0d2drbKFfy6desiPj4e8+fPh5ub20e7cquleJw+fRo9e/aUa6tTpw68vLygr6+PLVu2wMnJSUjIsXPnTqSkpGDy5MnIzMzEkiVL8Ouvv8LExARGRkZy6XwTEhIEz2JZMGXKFBw9erTQMXXr1i2y3Pfdg16/fg0/Pz+0a9cO8+bNK7L8j5U+ffoI6dE/ZipXrozg4GAkJibizp07MDIyQqtWrTBixAh07NgRbm5uaNeuHdq1a4c+ffpg1apV2LJlC+7fv4+LFy/i9u3bGDZsGGrUqAFDQ0Ph+1KQCONd8vLy4OzsLBhCTZo0wZkzZwAA169fB5DvwZHJZEJ0QFJSEnJycuS8PW/Lq1+/PhYuXAixWFykZClxcXEYOnQoli1bJtcuEomwbds2NGvWrMhp87VonsGDB2PBggVKEyOVFK3ho2FIlsgFq+XfS6VKlZCUlIQ6deqUyflI4uDBg/D399eYzLy8POGBsmDBAqF969atcsbIP//8g3HjxuHly5e4efPme42PAwcOYPr06dDX1xfq8uzevVtlCN37wpZOnTqFsLAwhIeHy2Xf0vLpc//+fTnDJyAgAKNGjRK+g3l5eZBKpUL/mzdvsGrVKpw8eRI//PCDXDa2pKSkslP8HXbu3ImIiAh4eXmpHPPq1Ss8fvy4yLILe4ZduXIFp0+fhru7+78uuqFKlSqYPXu2guH8sWJiYoJNmzbBxMQE3t7eGDFihGCIFFCvXj14eXlh7Nix6Nu3L1q2bIn58+fDwMAAEokEaWlpaNu2LSpWrAgg/7kilUpBUjBI9PX1sXv3brx+/RpdunRBVFQUGjRogB49esDAwACTJ09GhQoVcOnSJbRu3VrIPvjf//5Xqd7R0dF4+PAh2rVrh5s3b8o9M11cXFCzZk04OTkpfT5s2bIFRkZGOHbsGMzNzfH48WOYmZnh+fPnmDx5MrZu3Qp3d3fs2bNHUx+zlmKQlZWF2rVrl4rsUjd8dHR0fgawGoAegC0klxZHTmEruB8a2vAZLcWhYsWKZWL0vHz5EsuXL0fNmjURHx+PwMBAjB07Fn369MFvv/1WItmZmZlo164drl+/Lvc7OHjwIBwcHFCpUiUcO3YMhoaGOHHihNoFzapUqYLNmzfj2bNnRSqYVhjbtm3D8uXLNSJLy8fD5MmThb/z8vIQFRWFjRs34j//+Q+qVq2KxMREud/BpEmTMGbMGFSvXh2///67ENYD5BeEfJu3DabS5JdffkFaWhouX75c6DgrKyuVabeLw59//olXr17B3d1dYzI/NoYOHVreKmiU+fPnY+nSpdi6dSsmTZqE5OTk/Fonb4V06ejooHnz5kLYcVBQECQSCYB8A/zy5ct48uQJgPz5j1gsRm5uLiwtLXHq1Cn8888/ePToEcaOHYu///4bNjY2yMnJgZmZGfr3748//vgDlpaWANSb67148QLjxo1D48aNsXDhQvj6+iIpKQnt2rXD119/jc2bN2PWrFlITU3F8+fPIRaL0bt3b2RkZMDQ0BA//PAD3NzcIBaLhdA+f39/LFu2DJ07d0bPnj0VPgMAiImJQcOGDRX0SUhIQNWqVT+aOSqQXwS9ZcuW5a2GSszMzEptPlSqho+Ojo4egHUAegGIA3BDR0fnT5L3iyrrY/pCadFSUoKCgvDs2TN0794d7du316jsixcv4saNG8IGTkdHR8hkMgwYMACnTp1C165dsX//fuzZs6dI9RH27t2LxMRENG3aFHl5eXIhQP/5z3+wadMmJCQkoF+/fujcuXOx9gRoyugBgLZt22LVqlWFVrLW8umwYsUKTJ06VSEsZuHChWjTpo3KmiQVKlRA9erVsXLlStSpU6fQha28vDyN6qwKExMTHD9+vNAxLVu2xMyZMzW29yY4OBj6+voKtX/+TeTl5WHhwoXo0KED+vXrV97qaIRvv/0WU6dOxatXrwDkh0aePHlSaYiZm5sbGjduDHt7e1SqVAnW1tbw8vJS8I5UrFgRly9fRlhYGMRiMQwNDZGdnQ0gfxGrMG+KOnO9VatWITQ0FAYGBoKn1tnZGXZ2dkhLS4OXlxeePXsGY2NjmJiYoFOnTmjSpAmePHmCsLAwHDp0CED+HrnPP/8cANC4cWN07twZtWvXxpIlS9C+fXu0bt0a0dHRaNKkCcLDw1WGjRYnnLS8+ZCNHgBYu3YtsrKysGLFCnh6empWuKp0b5p4AegE4MRb710BuKoaX1g667y8PJUpcbVo+VTYu3cvAdDf358SiURIBapJ1q5dy//+979K+4KDg7lmzRrev3+f3bp1o4WFBS9duqSW3Hnz5smlkP7QycjIYEREBK2srBgfH6+9v3zitG7dWiFVLpmfHrdZs2bvPb6gDpQqjh07xr179xZbP3WRSqVs3779e8dZW1sX+xxubm5y78+cOcMDBw4UW96ngkgk4sGDBz/aVNaF8eTJE37++edcs2YN3d3d6e/vr3SclZUV7969yx49ejAwMJAA2LRpU4U0z0+fPiWZn/o9MzOT9vb29PT0LLGeeXl5NDExkWu7fPky9fT0GBsbS6lUSqlUyhcvXvCff/4hmZ9u/eXLl0rryRXQoUMHdunSheHh4Xzy5AmvX7/O/v37s2XLlgTASpUq8fLly0qPLbh2baprzbJ//3615x/vgnJMZ10fQOxb7+P+v01AR0dngo6Ozk0dHZ2br1+/Vinos88+UxnPXx7k5eUhNze3vNXQ8okRFRUFXV1dzJo1C1WrVoWuri4yMjI0Jj89PR3nz5/HqFGjlPYPGDAADg4O+Oabb7B161YkJydj06ZNaoWETZw4ERMnThTSSX/oVKlSBS1btsTkyZOxb98+TJ8+HTVq1IClpWWZrdxrKTtu376tsCfl77//xvLly/HgwYP3Hj9w4ECMHDlS5f6XyMjIMtkvdvr0aSENd2GYmJgU+xwFXq28vDwsX74cZ86cEUKR/s3o6+tj0KBBn2RClIYNG+Lly5eYNGkSFixYgEqVKuHu3bsK43bu3IkWLVogMjJSuE82aNBAIalBgXe+cuXKMDQ0RG5uLnbt2oWTJ0+WSM8ZM2YgOTlZrq1Dhw7o2LGjkKlNR0cHDRs2ROPGjbF3715s27YNFStWVOmtzcrKwvXr15GcnIzJkydj//79aN++Pfz8/DB27FgAQG5uLu7cuYP4+Hj4+vrC09MTx44dA/C/TG95eXm4fv26tlzCO8THxxfruCFDhqBLly5y+yo1giqLSBMvAEORv6+n4P0oAGtUjdcWMNXybyctLU1YQRs6dCjv3LlDABrxRkilUo4ZM4bHjx9Xe/z3339PkmzVqpVCgUNlHDhwgL6+viXSs7xISkqisbGxUK08NrcAACAASURBVCAPAFu2bElvb+9PcoVXS763Jzg4WO3xLi4uSleNg4ODFYrslhZTpkzh3r176eTkRAcHB7q5udHNzY0eHh708PCgu7s73dzcaG5urnYB0ncJCAhgaGgoX7x4wW7dumn4CrR8qMTGxgrf49zcXI4cOVLlWFdXV86fP5+2trbMzMykRCJhamqqyvFSqZR6enps2LBhsfWbNWsWK1SowKpVq8q1b9++nRMmTODcuXMpkUh46dIlurm50dvbm9999x2NjY25dOnSQmWPHj2arVq1opGREceNG0cy/5lw5coVVqtWjQBYo0YNHjp0SDjm+fPn3LJlC3///XcmJiZy9uzZBEBjY2NeuHChWBEbYrFYuMdkZmbyzp07lEqlfP36dZFlfciIRCK1i0Zv3bq1yMWRUYjH56MJddOi5d+ETCbj2LFjeefOHV6/fl1jMmfMmKH2+B07dvD06dMk8x9ao0aNoru7+3uPmz59erF1/JCQyWRyRpA64UVaPjx8fHxU9nXt2pW3bt1SW5aDg4OC4bNx40bu3Lmz2PoVlR9++IHVqlWjmZkZXVxcVI5LTEykjY0Nvby8Cg3xUcXkyZP5888/Kw0P1PJp8ujRIw4aNEgIa/zpp5+4Y8cOleNzcnLo5+dHkrxz5w6PHTvG3NxchXEikYhz5syhra0tx40bx+Tk5CLrJhKJCICPHz+Wa5dIJNy0aRNJMioqihMnTmRgYCBJMjw8nJaWlgTArl27klQdjvb777/zu+++49y5c3no0CG+fPmSvXr1ooWFBZcvX84KFSoIz4Jjx47JHbt582aKRCJ6e3vz8OHDDAwM5KhRozh//nzm5uayXbt2DA8PV+t3WGBAisViLl++nGFhYbx7965an9G4ceM+2XA7c3NzrlmzhiKRiMePH+edO3cKHV+ehk8FAE8BNAKgD+AOgOaqxmsNHy1aSpe5c+eqNS4lJYVjx45VuFF3796dGzduVHlcbGwsvb29S6Tjh4REIuHYsWNZs2ZNAmBISEh5q6RFwwwePFhln4uLi2D8k+Tw4cPl+tPS0srM00Pme5aWLVsmvB8wYMB7j7l79y5tbW25fft2tc9TMFl8d4Kn5dMnKCiILVq0YEJCAqVS6Xs9+AC4a9cujhkzhgCUjn/06BHt7e35/Plzrlq1iq9evSqyXgD44MEDhfbMzEwFb06NGjXYtGlTHj9+nM+fP2enTp1YrVo1zpo1i/Xr1ycA1qxZk82bN+eoUaMok8kYERFBDw8PLl26lElJSSTJ9evX09TUVDj3mzdvBOOnAJlMxi+++ILR0dHMyMjg4MGDCYCfffYZJ06cSAD8+eef2bNnT3p4ePDChQuFXmdMTIzwd0ZGBkny3r17Qtv58+e5du1arl27ls+fP5eLBrlw4QIPHjz4ye5XTUtLK9QQf5tyM3zyz40+AKIAPAEwu7CxWsNHi5bSIyoqil9++SXz8vIKXcWNjIzk+PHjmZWVpdCXkpLCBg0a0NPTk4MGDWLr1q3ZrVs3Dh48mPHx8fTz8+PDhw9L8zLKDQAcNmwYDQwMCKDQsA4tHw/BwcH8888/5doWL15MFxcXWlpa0tramra2trSwsOCUKVPkxk2ZMkXp76S0GDNmDF++fEkfHx8OHjyYrVq1UvvY4OBgOjg48MaNG4WOy87OJgA6OzuXVF0tHynHjx9n9erVKZPJGBwczDdv3qgcGxAQQADs3bs3u3XrRl9fX2ZlZTEjI4MymYxSqVQu5Ovx48eFLjaoAgBnzZrFjIwMxsbGCu3r169XSKoTGRlJDw8PYeHu4cOHdHZ25qpVq3jkyBGS+QbLr7/+ypycnELPO3fuXALg1q1bSeaHt/Xs2ZOLFy9m5cqVBUPI3NxcMJhIcsaMGdTX12fdunWFNolEwrNnz3LJkiVcuXIl16xZUyQjRSKRcNiwYezcuTNNTEz4yy+/CMZRAa6urjx69KjaMj82JBKJUq/iu5Sr4VOUl6YMn3nz5mlEjhYtnxrR0dE0NTVly5Yt5drFYjE3bNhAZ2dnLlmypFCX/MuXL3n69Gk5A+fSpUusX79+oaE3nwIFD7lp06ZxxowZBMDmzZtzz549DAgIoIuLC+3t7RUeRlo+bHx8fHj27Fnh/cCBA3n27FlhQpWWlsa7d+8qGDmzZs0qSzVpYmLCr7/+mhYWFjQyMuLVq1eLLGPNmjWcPHky4+PjFfoSEhLYpUsXbt68WRPqavmI8fT0pLm5OWUyGZcuXVqogSCTyZiVlcXRo0czMDCQv/zyC7dt28avvvqKFhYWPHz4sPBMiYiIYJUqVXj37l0+f/6coaGhghxVz52CsON//vmHWVlZwuJdTEwMbWxshGOdnJwIgH5+fvznn3+4YsWKQq8xIyNDbhEwKSmJBw8e5P79++nh4cGNGzcyMjJSME5evXrFWbNmEQC7d+8uPA9atGhBALx27RpzcnLo6enJmzdvFnpuiUTCjRs3snXr1hw/fjzv379f6PiCY5KTk5mXl8ewsDCF/ri4OM6cOZNVqlQRvFSNGjWiWCwulpftQ0QmkzEzM5NpaWmFGuSFGT46+f0fBu3atePNmzdLLIckkpOTUatWLQ1opUXLp0NKSgqMjY3Rtm1b3LhxAwAQFxcHOzs7LFq0CK1atSqW3OzsbMyaNQtGRkaaz8DyAVNwI338+DGMjY1Rs2ZNpKamws/PD6amphgzZkx5q6hFTQ4fPow3b97A2toaMpkMw4YNe2/xTxcXF3h5eZWRhsDq1avxzz//YNmyZXjw4AF++OEHJCYmFllOdnY2Ro8ejQMHDsi1z5w5E99//z0GDx6sKZW1fMTo6Ojg+PHjsLCwwObNmzFx4kSFzIhvExERgXPnziE0NBQzZszApEmTkJSUBEdHR7i5uQEAZDIZwsPDcebMGTRr1gxnz57FqFGjkJaWBj8/P9StWxeOjo4wMTGBgYEBACA8PBxt27aFTCaTKyqakpKC4OBgjB49GhKJBA4ODujatSu++eYbtG/fHtWrV4eNjQ28vLwUipEC+bXncnNzoauri5iYGBw8eBC3b9/GrVu3sHLlSlhZWSEyMhJSqRR9+/ZFixYtEBcXh6VLl+LMmTO4fPkyatSoge3bt6Ndu3b46aefYGdnh7i4OGzYsEGtz9jV1RXz5s1DUFAQoqKi0KZNG+Tl5UEsFqNZs2b45ptv5GriFWSMq1ChgtJrAvILvP755584deoUpFIpJkyYgNzcXHTq1AmmpqbIzs7GqVOnMGDAALV0/BjR0dH5m2Q7pZ2qLKLyeBXH46Msa0ZeXh5lMpk2E5MWLe/g7u6uECs9bNgwnjx5skRyx44dy/Pnz9PV1bWkKn4yXLp0iba2tnz+/HmRj307lENL2WFnZ0c3NzeOGTOGtra2hY7NyMigk5NTGWmWz9t76Fq3bs2LFy8WW9bw4cPlvFxk/mZ2LVoKEIvFQi2cpKQkLliwoNAwo3Xr1gn9BWFuYrG40NDqv/76i7dv3xY2q9+7d4/nz5+np6cnRSIRo6OjaWdnRzMzM+bm5lIqlcpt4F+zZg379u1LMj/RyI4dO/jo0SOS+R76wMBA7tmzR+m5Hz9+zKVLl3L//v20t7fnkSNHCIDffvstHzx4wIsXL/Ls2bNcuXIlx44dK3deCwsLwePTuXNnSqVSJiUlKfWkFsa7NbNycnJ448YNjho1ip9//jnXrl1bonDaI0eOsF69ekxISJDbHxMREVFsmR8D+LeFun1oSCQS4YeoRUt5sWrVKoaFhbFy5crCooBUKi1RoUMyPwyoWrVqNDIyUtgD8W9HJpNx8uTJRUorLJFI+Pfff5eiVloKw9raWuXnHxUVRTJ/g7GVlRVfvnxZlqpRLBbTycmJwcHB1NHRKbG8FStWcMmSJSTJ77//nocPHy6xTE2QmJioVvp8LWVDQSrh69ev08nJSWVI2n//+1+NFd2+cuUK165dy/Pnz/Phw4ccOnSoyrENGzakSCQS9uG0adOG69evp1gsFvbfqEIkEvHhw4eCIaBsz41YLOa+ffs4depUwfjZsmULv/nmG3p6egr7Po2NjYt8ne8aPm/j7u5OIyMjrlu3rshySfLkyZOcOnUq+/Xrx/79+/PFixf08/P7ZDO/vc0na/jcvn1boa0gDePbm8y0aNFCzpkzhyKRiN9//z3HjRvHBQsW0MfHp9AsbaqIj49ns2bNWKNGDdarV4/R0dF0c3NjZGRkKWj+cSORSDhmzJhPesPpp8acOXP48OFDjh49mk2aNOHRo0fZpk0bNm7cmEePHqW7u3u5ZU7q378/dXR0ipWiWhmXL19mjx495DJVlScJCQnU1dXl8uXLy1sVLUpITEykj4+P4Al6mzVr1pTKpDo8PFzl7y09PZ2TJ0+mVCrl6tWrSebPAyMiIlivXj3q6OgU+7v97j6htLQ0btu2TW5MYmIiyfxFLmdnZ7q6urJixYr84osvePz48fcmTyjM8CkgODiY3t7eXL16tUp5t27dElKLF7B3717evHmTs2fPZp8+fYTnc8Fip0QikYuMUhZpcOHChY/yuf7JGj7/BqtVixZNUVCUrQBHR0eOGTOmyHKWLFnCSpUqaVPdFpH169dz0qRJbNGiBdetW8dTp06Vt0paVJCcnMyGDRty0KBBDAoK4pgxYxgfH8+NGzcKHpLyojQSKgAQ6pSUNcrCeJ4+fVrmehRGSEiINnT+LWQyGb28vBRSpB88eFAIRyspcXFxlEgklMlkct6/2NhYvnr1igkJCSTJJ0+esGnTpiQpJNeRSCTs168f27dvz0aNGmmsCDiZHx5X4NUqbA66b98+uTpwqkJn1TF8SPLGjRu0tLTko0eP+OzZM4Xwwfv37zM3N5fz58+nWCxmYGAgZ8+ezdWrVzM0NFShUPOiRYsokUjkCoMqcxhcv379vcbbh0hhhk+F0txcVNqo2tj1oZCTk4OMjAzUqVOnvFXRogWDBg3CnTt30Lp1awCAt7d3seQcOnQIOTk5mlTtX8HEiRPl3gcEBCA6OhpNmjQpJ420qKJGjRqwsrKCVCrF4MGDhc3+EyZMKGfN8jeHSyQSVKigucf36NGj8ebNG0RHR2tMprrcunULzZo1g7GxsdDWqFGjMtdDy/tZsGABunfvDnNzczg7OyMkJATbt29HxYoVcfjwYfzwww/Q1dWFl5cXZs2apVIOSYX527ttMTExqF+/PgBgyJAhQrupqSni4uLw+vVr5OXlQSaT4cmTJ9i5cycePnwIANDT00OfPn1w+PBhREREwMbGBgMGDMCIESPQtWtXpd8vknjx4gW+/PJLhb7c3FwhwUBKSgoOHz6Mo0ePAgDOnj2Lv/76C127dkVKSgqqV68OABg6dChIIjU1FTVq1MDGjRuxZs0afPbZZ3KydXV1VX/gb1G1alUYGhri4cOH0NfXx40bN3Dv3j3UqlULurq6iIuLQ1RUFK5duwZdXV3UqVMHtWrVwqNHj2BtbQ1DQ0M5eStWrEDt2rVhY2MjtClLCBYbG4vQ0FB4eHiopWdZkJKSgho1ahT7+I/a8PnQ0dfXR9WqVctbDS1aAADXr18v8YQiODhY+53WECNGjMDKlSvh4uJS3qpoUYKpqSns7OwgEonw2WefgST09PSgq6srTFZkMhlSUlLg5+dXZnpVrVoVmZmZwgSrpMTFxaFq1arQ0dHBkSNHNCJTXaRSKWrXrq2QKSwvLw/6+vplqkth9OvXr7xV+CB4d/Lbv39/BAYGYs+ePYiOjsbr16/x559/QldXF0+fPoWLiwu++uor5ObmChnaAGDSpEnw9PSEiYmJ0Obo6Ahvb2/ht9WlSxeVepiamsLU1FR4HxMTg6ysLJw/fx45OTkwMDCAnZ0dxo8fj+PHj6N///4giWnTpmHgwIFKZero6Cg1egDIZVVr2bIlHjx4gHPnzuHcuXMAgOnTpwMArK2tERQUJHds9erVQRKGhoYICwtDnz59VF5XYXz99dfYsWMHnjx5grCwMIjFYhgaGqJWrVrYsWMHJBIJAgMDUbt2bdy7dw+7du3Cl19+iXXr1imVt2zZMmRmZuLKlSvo1KmTyvO+vfDzoSCRSADkG6tisbjo9wpVrqDyeH2qyQ20aPkQSExM5IgRI0q012ThwoXFCo/Topw//vijvFXQooI7d+6wa9eu7x03YMCAMtDmf+zfv1+jYaYikYi1atUqlzA3qVSqUHxSy8eHVCrl4cOHOW3aNJL5ha5TU1O5f/9+Tpkyhf7+/grHrFu3jtHR0WqFoCnLCieTySiRSOTCsMzNzRkTEyPsuyHJZ8+eyR2nLCtdYSFrBSF1hYG36vmoIjIykidOnFBoL25yIbFYTC8vL5L59fn69u3L33//nd9++y3/+OOP9xb5lMlkdHR05IwZM3jp0qWPqs5PZmamkN1P1fcH/7Y6Plq0aFHOkSNHUL16dURERMDe3r5Ix3p7e+Pw4cPYv38/6tatW0oa/rsoWDF9NwxBy4fB7t27YWZmhvbt26scc+zYMTx58gSTJ0+Wa//nn38QEhKCFy9eoF27dhg0aJDG9Jo7dy46deqE3r17a0TelStX4O3trVDXp7TJzs5G5cqVVfZTSUiUlg8PsViMhg0bwsLCAj179oS5uTkaN24s9B89ehSnT59GmzZtULlyZYSEhGDAgAGQyWRIT09HTk4O/vnnH1StWhVmZma4efMmJk2ahHr16kFXVxdz5syBnZ2d3HMnPj4eBgYG2LBhA1xcXFChQgWEhYUhLS0Nv/zyCwwNDdX2HIpEIlSsWFF4n5ubi9TUVKSmpqJZs2ZCu5+fHz7//HP069dPLmStQYMGSEhIQGhoKCwsLFSep2HDhjA3N8eGDRtQsWJF6OnpoWvXrrh06ZLanzUAbN68GQYGBnj16hUcHR2LdOzbPHr0CPPnz8fhw4dRu3Zt/Pzzz/Dz81M7/O5D5pOu46NFixb1Kdiku337diE1r7p07dr1o9zk+CEzbtw4Xrt2rbzV0FIIy5Yte+8YZelyJ06cyDt37jAyMpLDhg2jm5sbx48fX2i18aJQsLquCWQyGTt27KgxeeqSnJxcaP+tW7fKSJP3U7du3fJW4YNGIpEwNzeXQUFBdHZ25o0bN4pUf6Zv375s0KAB3dzcaGNjwxkzZvDp06e8dOkSf/zxR2Hc69eveejQIW7cuJG3b9/+P/buPC7m7f8D+OuTUpZ2QllvlC1SRO61XDtRN/seF1mzdG1RuCJXCHXJlrJdsrVLdpJL1rQpoVQUlfZlmub8/ujb/Mytpplppplyno9Hj4f5fD7nnPekps/5nHPeh2e05vnz52TcuHEkJCSEHDhwQKjU2p8+fSL5+fmEzWaT7du3c0eUKhw+fJhoaWmRli1bVpnoIjo6mm/9MTExxMzMjOjp6REA3FT49vb2VV6fnZ1NOBwO0dTUrDTiFRwcXClZkahmzZpFdu7cScrKyriJIHR0dEi7du0qjZbJmu+/56WlpaSwsJD7Gg01qxslmMjISGmHQMmY0tJSYmtrK1SZQYMGCbUfDVUzAMTNzU3aYQglNjb2h8qoOX369Bozep05c4Y4ODiQ0tJSEh4eTiIjI8mkSZMqZbeys7PjmYZTG76+viQgIEAsdeXn55Pff/+d9O7dWyz1NUTiSh/+I2CxWOTdu3fEw8ODHD16lCxatIioqKgQNzc34u7uXuXfkezsbLJ27Vri7u5OnJycuHvy/FdwcDCJjY2t8W/Rly9feD6nqspYtnz5cvLbb7+RJUuWkDNnzhBvb2+e8wcPHiTu7u6EEELatWtHAFTa9FcQjx8/Jnfv3iXv378nw4cPJ4T8/95IVXV8HB0dSefOnXmywnl5efHc6A8dOpQcOHBA6Fj+q+J7pKWlRQ4cOEBcXV2Jra0tt92K908IIYmJibVuT1JycnJ4HqTw6/jQqW4/gBs3bmDUqFHSDoOSMa9evUJoaGilKTrViYqKgre3NxwdHSUc2Y/D1NQUN2/eRPPmzaUdisBev34NAwODH2YK0ufPn+Hr64ulS5fyvW758uVgsVho3bo1VFRU0KlTJ55sVADg6ekJbW1tkaeo5ebm4uHDh3jx4gWKiooQGRkJf39/ker6XnFxMRYuXIiZM2eKvPiaogRRUFCAoKAgvH//HufPn0dsbCw2bdqEXr16IT4+HsbGxhg5ciSGDRuGiRMnomnTpjA2NoaPjw9atGiBwsJCXLx4EUOHDoWysjIIIZgyZQrCw8Px5csXsNlszJ07F1++fIGcnBx27tyJjx8/4unTpxg/fjyePXuGMWPGwNLSEp8/f4apqSmKiorAMAxu3ryJ9PR09O3bF/Ly8ujZsyeioqIwffp0dOzYEWZmZnB3dxf6PW/YsAFaWlpwc3NDSUkJnJ2d4eXlhevXr2P79u08f1P9/PxgZWWFvLw8ZGZmcpOY+Pv7Y926ddi7dy8mTJgAoPze7v379zwZQwsLC5GWlobs7GwYGRkJHOOKFSu4iRA0NTXx5csXBAUFwdzcHIaGhvj333+xa9cu2NjY8GRg/PLli0xkLr5+/TpGjhwJoDyrH7+pbg2q4/P48WMMGDBAjBEJh8PhyOTcSBaLhZ07d2L16tVQU1P7YW5YqJpt3LgRf/75J8/8Zn7Wr1+P0aNHY/jw4RKO7MfAMAxk6TOYquzTp09YvXo1Ll68WOu6Pnz4AG9vb76pfvkZP348li9fjp9//hkqKioIDg6Gt7c3+vTpAxsbG5H//pSWlmLevHk4d+6cSOUpShQcDgdfv36Fmpoazp49C319ffj6+uLx48eIiorCgQMH4ODgAG1tbbDZbCQnJ8PW1hZ2dnZV1ufr6wsWi4ULFy4gKCgITZo0QePGjfHrr79CX18fBQUFGDJkCIDy32tFRUU0bdoUz549g66uLhYvXgygPNvgfzMN1ub+LiYmBllZWdDS0oKOjg6aNWuGkpISnDp1CklJSdi5cyf32qSkJBgYGEBHRwexsbGV6po/fz6OHj3KXbvk6uqK2bNnQ0NDAwCQnZ2NvLw8DBgwALdu3ULbtm2hrKwsUJxFRUU8a+4IIeBwOGjfvj0uXryII0eOoLi4mOezUFY6PkD5Q7n09HSMHDnyx+n4AOU/nIGBgRg9erTAN3PisnbtWuzdu7dO2xSUtbU1jI2NYWlpKTM/pJT0nTlzBqtXr0ZmZqZA17PZbFhaWiIgIEDCkTV8Fy9ehKqqqtgWqFOS0bFjRwQFBaFHjx61rsvDwwO9evXimyyhOqtWrcLUqVOrTPN78OBBREVFQUNDA9u3bxfpbx/DMPD19YWFhYXQZbOysrg3Xvykp6fzpDCmKH5KS0tRWFiIlJQUbNq0CRoaGujbt/xe1sTEBGpqatDU1AQhBFFRUVBRUUFaWhqaNGmCJk2aoF+/fjydlcjISHh6esLd3R0uLi6Qk5NDs2bNMGPGjEodnbqQm5uLlStXYujQoUhNTYW/vz8WL16MwMBAeHh4VLlXTWhoKAYPHsx9YJaXl4d58+bh6tWrIIQgNDQUHA4H79+/h5WVFUJCQnDmzBmcP38eubm5yM/PR5s2baqNqaysjLtXWEZGBjp16gRfX19MmDABNjY2cHNzQ1xcHPT09CT2famtgoICNG/e/Mfp+FQICQmhNxTfOXToEJYvX44XL14gPT0dY8eOlXZIlAxgsVjo3Lkz3r9/L9CGiJ8+fcL27dvx4MED7Ny5E5aWlnj16hX69OmDgoICvhmaOBwOfHx8EBUVBTMzM+4fsB/R06dPcePGDWzevFnaoVA18Pf3B5vNFsteFh4eHmjZsiXMzc2FLmtkZIRnz57xfeocFxcHAwMDjBkzBsnJyTh+/LjAv2e2trbo168fZsyYIXRsKioqeP/+PVRVVavdq4QQgtjYWHTv3l3o+imqOmvWrEFaWhqGDRuGlJQUbNy4kWfPoAo3b97EP//8gw4dOiAjIwOrV6+Wmc2jc3NzoaSkBF9fX+zduxfnzp1DSUkJevbsWeX1bm5u8PHxwZ07d7jHLl26hDt37kBOTg6BgYHgcDhITk7G58+fUVBQgLZt20JJSUnghxTfGz9+PIYOHYrExERERkbiwYMHCAkJEXgJRU5ODlRVVYVqszbu3r2LYcOGVdvxkb15WWIiqU5PdHS0ROqtcPPmTYnUu3z5cgDl6VmrGj6lfkyNGzfGP//8g+PHjwt0vba2No4cOYLXr1/D3d0ddnZ22LNnD1asWMG30zN9+nSMGDECfn5++Pz58w89pSYtLQ1nz56lnZ56YsKECXj8+LFY6lqwYAE8PT3B4XCELjtkyBDuxn3V0dfXx4sXL6CpqYnnz5/jxIkTAte/atUqzJw5U+DPgu/l5ORAU1MTCgoKKCgoqPIahmHQsmVL3LhxQ+j6Kao6Tk5OmDVrFp4+fYpJkyZVuZlwUVERHBwcYG5uDg0NDfzxxx8y0+kByh8cvH79Gp6enpgzZw4+ffoEPT09pKWlVXm9jY0Njh49iilTpmDs2LFo27YtBg0ahBkzZkBHRwd///03UlJSEBoaChUVFXTu3Jm7CauwnR6g/IFNnz590Lx5czg6OuLZs2d48+YN3zKFhYX4+vUrvn37hlevXiEuLk7odkX166+/8r+guqwH0viqD1ndHj58KLasPBQlK6ytrWuVqau6lJxeXl5kxIgRZOvWrdxjERERxM7OTuS26rPY2Fgybdq0Kjfko2TXuXPnxJZa2c3NjTx+/FjocitXrhQ4nfyIESNIWVkZmT9/vkAbRFa4d+8eASCxTUXLyspq3FjxewEBAWLLXEdJVn5+vliyjIkqMTGR+Pn5kW/fvpGSkhKyePFi8vHjR0IIIVZWVsTQ0JDcu3dPZjNSPn78mHTv3p2EhIQI/PeBw+GQvLw88vz5c+Lh4UEmTJjAzcampqZGrly5QmJiYsjz58+Jj4+PWOJMT08nAMjy5cv5bonxE6hU7AAAIABJREFU9u1bcvz4cRIVFSWWdoUFPlndap7bUk9VTLsRdCH/hw8f0KlTpxqvq2p+NUXVdxs3boSbmxtWrlwpUvmUlBTMmDEDX79+RW5uLjIzM2FqaoqBAwfCx8eHJ2tZ9+7d8eHDB3GFXm8kJCTg/PnzuHDhgrRDoYQ0c+ZMODk5oU+fPrWu6927d/j06RPu37+P1NRUhIWFYcmSJVi4cCHYbHa1U05ZLJZA01Fv374NdXV1yMnJQVdXF1FRUTA0NORbJjY2FufPn0d+fj46deqE3bt38yy4Fhc5OTmh1h/RbKT1R7NmzbBq1Sqptd+hQwd06NABQHmWwoMHD0JRURG7d+/GixcvEBoaKvJ0q9LSUigoKKCsrAwFBQUICwvDw4cPMXPmTL5r/yqWGAiiTZs2iImJwejRo5GXlydQpk+GYdC8eXMYGRnByMgIv//+Ox4+fIjnz59DXV0d+vr6SEhIwKVLl/Dt2zfo6urCwMBA4PddFS0tLbx58wYuLi5wdHTE6dOnq7zuzZs3uHz5MhYuXFir9oRV8X/FT4Nd4yMKQb5h4lZcXAxCSJVzUimqLi1evBjbtm3ju/BREEuXLsWmTZugqqoKFRWVSuc5HA7GjRuH69ev16qd+uR/iy3B4XBoVsV6ys3NTeDU7/zcu3cPAKCjowNdXV388ccfiIqKQseOHfHy5Ut8/zfwxYsX3JS0K1euhKura431b9u2Da1atcLSpUuRnJyMadOmYcaMGXj27BnWrFmDJk2aoKSkBOfOnUNRURFYLBa6deuGSZMmoW3btlBQUICmpmalaTZXr16Ftra2VDOnUlRde/LkCfdnXklJCcXFxdxzFy9ehLa2dqUH4vHx8ViyZAkGDx6Mbdu2CdTOuXPnkJiYCAUFBYwfPx76+voAIHLShbKyMhBCkJeXh48fP+LatWvYs2cP9u7di927dyMmJkbgumNiYhAdHY0pU6YIHYeTkxPmzZsHbW3tSuckmQmZX1a3BjviIwpppKKumHdJUdLm7u6OjRs3wtnZuVb1LF68GFeuXMHq1aurPC8nJ4fs7Gw8fPgQv/zyS63aqi/u3r0LPz8/2umpp8T5gHDo0KE8r+Xl5blrOz08PDBlyhRoa2uDEIKwsDDY29vD0tISKSkpSEpK4j7Vrk6fPn24N2eOjo7YsGEDGjdujClTpmDPnj1QVlZG06ZNMWLECO6+F9/T09ODvb19pePFxcUICgrCgAEDwGKxuOl0+bG1tcWqVatqjJmSDhaLhaKiojpdeF7feHt7Ayj/u2ZiYoLff/8dz549Q79+/fDs2TPcvn0bubm5WLt2LbeTtG7dOhQVFWH69OkCtzN79mw8efIECQkJ2LNnD44ePVqre9KKTo26ujrU1dXRu3dvzJkzB8nJyUKvt+nWrRtOnz6Nf//9Fy4uLkKVXbt2LQ4cOID169dXOkcI4TvKLTHVzYGTxld9WONDUQ3ZX3/9Ra5fv17remxsbPiuRygqKiKjRo0iy5YtI8ePH5fYmgJpCwgIIIWFhWTz5s3SDoWqhYMHD/Lsmi5OixcvrvJ4SUkJIYSQ1atXk/Hjx5PQ0FBiZWVF+vfvT1asWFFtfffv3ydjx44lhBBia2tLEhIShIoHAHn9+nWV52xtbUlgYCBp1apVjfWcOnWKu96Akk0vXrwgHh4e0g5D4o4cOULKyspELh8YGEgAEB0dHXLs2DEyePBgcvz4ce75gIAA4ubmRuTl5YmysjL3517Qn/2srCxibGzMXX80dOhQwmKxRI5X1mVmZoqlnkePHlV7DnzW+Ei9s/P9F+34UJR0FRcXEzMzs1rX06FDB1JQUFDjdbdu3SIBAQHEysqK/PbbbwKVqS9u375NABAVFRWSkZEh7XAoEZSUlJD58+cTT09PsdWZmppK3r9/T968eUOioqLIxIkTBSo3ZMgQkpCQQAoKCqpNJlJxXUREBCGEkI0bNwodHwCBki80b96cuLu7V3t+5cqVxMzMjHTo0IFcuHBB6DgoSpxETSjz+fNnoTvwz58/JyNHjiQDBgwQ6PqkpCSehwn9+vUjgYGBQsf6o4mLi6v2HL+OT71KZ+3o6Mj3fHFxMc/8y9oqLS1FfHy82OqjKFnHMAyGDBkCHx+fWtfFL711heHDh2P8+PHw8vKCtbU1LC0tMXfuXHA4HBQWFtY6Bmm6c+cOOnXqhPDwcGhqako7HEoEJ0+eRJMmTTBv3jyx1bl06VIEBQXh3r17+PfffzF16lSByt26dQvLli3DnDlz8PLlyyqvYbPZ6N69O3r16gWgfJ4/i8USKr7Bgwdz1xfw8+jRI8ycObPKc6qqqjh27Bj69euHxMRE7romipIWUdfKuLu7Izw8XKjprmvXrsXNmzfh4eEh0PUZGRkYM2YM9/WVK1eQl5cnUtp7WePg4ABCCFgsllinDAMQfRPV6npE0viqacSHX1pOFotFxowZQ1asWEF7yhRVCxs2bCBdu3YVufzXr19J586dRS4fFBREZs6cSQYNGkRMTExqNUVBWkpKSggA8vTpU2mHQtXC9OnTxV4nv9Gamrx584a8f/+ePH/+vMrzo0ePJmfOnOG+joiIIAsXLqz2+qqsX7++ViOUhw4dqvSEfNu2bSLXR1GSwOFwSGFhIQkPDycWFhY8vzcVUlNTSZ8+fYSedqahoUFatGhB1NTUBLr+/PnzJCsri+fY9u3bZTb1tjAyMjJIWVkZGTZsGElMTKyzdlFfR3xCQkJ4XvNbAKWgoIDg4GDMnz8fXl5eiIyMxJo1a5CdnY3k5GS4ublJOtw6k5mZifz8fADlT/Sqk56ejmvXrtVVWFQDsXLlSiQmJnJ/xoSloaEBZWVlkdsfN24czp07hwcPHsDExARPnjwRuS5pEyRFPiWbOBxOrTMcipu+vj46derEzfT2vbCwMBgaGmLLli3w9PQEUJ46/vjx43B1dRV4BPXDhw+1SmX9zz//AOBNCNGhQ4d6P4JL1S8RERE8r7+/VyotLYWDgwOaNm0KExMT+Pn5wd3dHWPHjuUpo6Ojg2vXrgmV7ff169fo06cPJk+ejOzsbIHKyMnJoaSkhOeYmpoaNm3aBA8PD7GPlNQlTU1NyMnJoVevXtDS0pJ2OAAg2x2fqtLf1cTIyAiXLl2CgYEBZs+eDRUVFbRr144nl3pNu1/Liqp+2C9fvoxp06YhNzcXI0aMqNQ5/F6rVq0wbty4SsdLS0vFGifVsLRo0QI///wz/Pz8RCpvbW2NPXv2iCWWtWvXIjAwUCx11aXGjRtjx44ddIpbPZaYmAhjY2Nph8FXSEgI7OzsYGtriw8fPmD79u14//49wsLCMH/+fG4GOVdXV4H36Nq0aRP2798vUjyPHj1CWFgYpk2bxnNcV1cXHz9+FKlOihJF7969eV5XTHUjhKBz587czn1mZiYIKc+gOGzYMPTo0QNbtmxBUVERAAj98GPdunXYunUrDh06hJiYGIHKEELQsmVLnmMjR46EsbExcnNzYWtri9jYWKHikBW3b98Gh8PBwoUL8eXLF2mHA0DGOz613WjJ2NiYmw7w+7SAdZ46T0T+/v6YN28eOnXqhHHjxuHZs2do0aIFbt68CW1tbdy6dQuDBw/mO+pTlaysLAlFTDUEjRs3xq1bt8AwDP7880+hy799+xZDhgwRSyzXr1+XSpp5caCdnvrt6NGjmDx5srTDqNakSZNQXFyMnTt3wsXFBbNnz+ammD5x4gQ8PT3Rpk0bsNlsqKioCDyCe+LECZHiiYiIwM8//4wFCxbg5MmTPOdMTU25aYEpqq5VPOwuKirC6NGjuZ1wQgg0NDS4161btw4xMTFwdHQUaI1qVZSUlHDjxg3IycmhW7duApVp06YNHj16xHOsa9eumDx5MtasWQMtLS28fv1apHik7fnz52jfvj309PQQEhJS6X1Kg0zdUQiykOvdu3diTWAgyywsLODl5YXg4GAoKysjICAAmzdvxvLly7Fy5Uru0Oh/F+0RQviO6rRq1UqicVMNw8yZMyEvLw8nJyeBh+wB8e5NNWHChHq7wDM0NBRv376VdhiUiHR0dKCoqCjtMCrx8/PD5s2b8enTJ1hYWPB9MPD161fugz5dXV2B679z547A8eTn5+PXX3+FoaEhgPKO0/c3je7u7ti+fTsd8aGkpqLTHxcXx90zq6oHAbdv3wZQ/nA4IyMD3759q3Y/uur4+fmhVatWMDExgZaWFs+GxNV59+5dpU1Qv2dkZIRmzZoJFYes6N69O+Tl5bFz507cuXMHvr6+0g5Jtjo+xcXFKCwsRF5eXrXX/PTTTzw3VvHx8ULdlElLZmYmUlNThS4XGxsLfX19eHt7Y+rUqRg0aBAUFRXRsmVLTJkyBZcuXapUZuTIkdw/XNHR0fjy5Qtd60OJZPPmzbC1tcWePXtw5MgRgcr07NlTbPP5RZnuKivmz58v9EZxPxpZ3dDV09MTPXr0kHYYlVhZWYHNZmPr1q0YPnw41q1bB2tra6SkpFS69suXL9yn2T4+PtVmgvte9+7dsWHDBvz66698r0tPT8fx48fBMAyUlZWRn5+PkpKSSusUACAvLw+pqakwMTER8F1SlHiFhoaiSZMmcHBwAAD88ssvVXYkhg8fDkII1NXVoampCTU1NZGmfa5YsQJ//fUXvn79CmdnZyQnJ/O9vqSkhO8DjFGjRuHVq1cCtS1ra+nGjRuH3bt3Izw8HPb29hJdakIIQUlJCZ4/f17zhbLy1b59e/Lx48d6mcWpJj4+PpUydLx584Z4e3uToUOHCvyek5OTSU5ODlmzZg25dOkSOX78OLGysiJmZmZk27Zt5MiRIyQoKEgSb4H6wT1+/JgsW7aMODk58d2c9OnTp2TEiBFia/fo0aNk/fr1ZN26dcTe3p6MGTNGbHVLko2Njch7R1DS5e7uTp49eyaRumfOnMk3Q2l1bt26RdatW1fp+NevX8mKFSvIunXryKFDh3jOrV69mhw9epSYm5uTvLy8auvmcDgkKiqKAOBunMqPvr4+sba2Jt++favx2pycHDJjxowarxNWQEAACQgIEHu9VMMSHBxMGjVqxLOpqJOTU521Hx4eTlasWEHevXtHCCHk2rVrpE2bNtxNPDkcDrGzs6uxHgcHB4HaKy4ulrlscMXFxURNTY0YGhqSv/76S6x1l5aWkrKyMvLq1StiampKWrVqVfH/XD82MFVTUyOvXr0S266usiQ/P58QQkhYWFilc/379yerV6/m3iTFxcXVmE6UzWYTOzs7snTpUrJlyxYSHx9PfH19yZYtWwghhKSnp4v5HVBUuezsbLJ169ZqP4gXLlxIHj58KLH2p0yZIrG6xWn37t3SDoES0apVq0h4eDgpKysju3fvJgcOHBBb3cnJycTKykrgh13x8fFk6dKlxNvbu8Yyp06dIsuWLeM5NmzYMNKtW7cqr+dwOGTZsmUEAFm0aJFA8Vy9epXMnz9foGsJIWTNmjVCbf4oqJKSEoE6adSP69KlSwQA6dq1KwFAunXrJtJDB3HYtWsX2blzJzEyMiKLFi0iHz9+JISU/524evVqjeX9/f2JhYVFtefz8/NJWVkZKSkpkcnBg6ysLJKWlkaMjIz4bjwqjOjoaNKjRw/C4XCIqakpkZeXJzo6OqRly5Z8Oz4ytcpfV1cXmZmZWLVqFa5duyby4jJZVDGsOnDgwErnHj9+zP13WVkZXr9+jX79+vFdHD1lyhRs27YNBgYGuHDhArp06YKMjAyYm5sjMTERHTt2xKtXr7jzrv/Lw8MDCxYsqOW7on5Eqqqq2LZtG6KiorB8+XLs2LED6urqAIBz585BXV2d73zl2iosLISLiwtsbW0l1oY4qKmpSTsESkQ//fQTPDw8cPjwYdjY2CAlJQXW1tZQVVXlJhAAytcJqKiogM1mc6eqtGzZku+6gLZt28LBwQGzZs3CwYMHERUVhcjISPTs2RPDhw/nuZbFYsHJyQkeHh4CJfmYO3dupfTvR44cQUJCQqVrQ0JCMGbMGHTt2hXp6ekCp5qdOXMmN+OVIFq3bi2RbE7f/z9QP66ysjJwOJwqU04HBASAEIL3799DV1cXurq6UktutXHjRgDlKen9/f2ho6ODgoIClJSUwNLSssbyEyZMQFBQEDgcTpWfBRX3mKL8XlRXpzhV3COYm5vjp59+EkudO3bswIgRIzBmzBgMHz4chw4dQkJCAiZPnsz3/TBEhvKD9+3bl1y6dAl5eXno0KEDVFVV+V5fF/9ZddFGhdTUVOjo6ODYsWNwc3NDREQE5OTkUFBQUGk+anp6OpSUlHi+R1lZWYiJiUFubi5MTU2hrq6O58+f48iRIzh+/HidvAfqx/Lx40fs2LEDzs7OUFNTw6RJkyAnJwdvb2+J/t6YmZnh8OHD6NChg8TaqI1FixbhxIkT9Xr/hR/Z5cuXMWLECJE6r9euXUNgYCB3LnuTJk0wbtw4pKSkoFWrVggPD0dZWRk+fPgANpuNadOmITExEfv374eqqioGDx4MDQ0NmJub49ChQ3B2dkbr1q0Fbn/69Om4cOFCtecTEhLQpUsXhIeHo1+/fkK/P319faHWrrm5ucHGxkbodihKEISQatcK2traYt++fWAYBufPn8eMGTPqOLqqvXv3DleuXIG6ujpmzJiB5s2bC1Ru/PjxOHnyJM9DCg6HA4ZhpLZesqysrFKCrerk5ORATU0NOTk5UFFRqXXbu3btwq1bt3Dz5k1Mnz4dLBYLw4cPh42NDRiGeU4I6VtVOZnr+ISFheHly5dgs9n45Zdf+F6fm5uLpk2bSqwHz+FwkJaWVu8WWG/duhVlZWXYsWMH+vXrh0GDBsHFxaXa652dnWFlZUWzvVEiKS4uxp49e5CYmIgePXqgUaNGaNOmDaZOnSqxNrOzs7Fs2TLuZomyxsnJCWvXrqVPpeupzMxMXLlyBdbW1rWuq7i4GMeOHcO9e/cAlHcc5OTk0L59e5w/fx4tWrRAt27dsHz5cri4uMDCwgItWrRAYGAgZs2aJVSnBwCWLl0Kd3f3Ks8RQiAnJ4dly5bh0KFDIr2fgQMHCpyStqioCF5eXli6dKlIbVGUqHJzc7Fo0aIGlUa9e/fuaNu2LW7cuCHtULgyMzOhoaEhlY5XRfKIlJQUPHnyBJcuXUJSUhImTpzIt+NTqzU5APYAeAPgNQAfAGrfnbMDkAAgDsBoQeozNDQkHA6HJCUlEQ8PD74LtHJyckhWVhZRVFSscR6gpOY73rt3TyL1ioO7uzvJzc0lbDabvH37lnu8sLCQPH36tNL1CxYs4K5DoihRbNq0iRBSvtiwqkXY4rRv3z4SExMj0TZq4/Dhw9IOgaqls2fPkvv374ulrvj4eHLkyJFKxx8/fsyTIKC0tJTMmDFD5L9Zvr6+ldb4VPj69SsBQK5du8Y30UFNNm/eTHJycgS69tSpUwIlQKAoceJwOERDQ4MUFxdLOxSxCg4OJi1btiTJycnSDoWLzWYL/Xn16NEjYm1tLZb2X758Sb5+/UrOnz/PPXb16lW+a3xqOxflJoCehJBeAOL/19kBwzDdAUwH0APAGACHGYapcSwsNzcXDMMgNzcX169f59uDbN68OdTV1QWaa3z06FGB3oywKqZBxMfHS6T+2liyZAkUFRXx/v17ZGZmco/n5eVV+QTxxIkT9TZPPCUbKn5f5eXlUVRUhAcPHtS6TjabDW9vbxw4cAAXL14Ei8UCAERGRqJLly61rl9SZDVNMyW4WbNm4cGDBxJNv9q/f3+e6XTy8vKYPn06zpw5I1J9ERER+O233yod37VrF3r06IHr169j7NixAk+tqYq8vLzAI2F5eXl0rRtV5x4+fIiQkBCZ3IerNsaMGYNNmzZh+vTp+PDhg0TbIv9LDV1WVsb3ukaNGgk9rd3Q0BDDhg0Ty3YPhoaGWLBgAc+6yjZt2vAtU6uODyHkBiGk4q/CYwBt//dvCwAXCCElhJAPKB/5qTGJf8Xip549e8Lb25t7k/NfLBYLd+7cwenTpwWaQy+pYfbevXsDALp06QIOhwNCiET/SP5XUVER341KGzdujC5duqBly5b49OkTAEBOTo77faYocfq+gz137lz4+PiIVE90dDRsbW2xefNmbN26FTo6Opg8eTK0tbWxefNmLFu2TKqLVGty8+bNejc9lqqatbU1zp49W6dtmpubIyAgQKSd2jt27MidUlfhwYMHCA8PR3JyMkaPHl3r+Hr37i3Q9KGUlBSpJihycXGpcn8jqmH5/p7r69evuHLlCho1aoS+faue5VTfrV69GqdPn4aBgQHGjx+P4uJiibRTWloKRUVFgdbvZGdnw9XVVeC6mzRpguDgYGhra4ulA+fn54e0tDTu6wEDBvC9Xpx3Dr8DqPg01EF5R6hCyv+OVcIwjDUAawBo3749z7nS0tIq58grKCggLy8PhYWFdZZ4gB+GYcBisZCUlISSkhJ07dq1ygwj4hYXF4fmzZujc+fOfK/7PoNGixYtJB0W9YP6/ilycHCwyBtAHjt2DPv27avUsWnbti1++eUXWFtbV8pcJSvevn2L+fPn0xuuBkJLSwtZWVnIzs6u05GLixcvYuvWrTh8+LDAGwcDwKBBg/Dvv/9yXyclJcHW1lag3eMF1b9/f4GuGz58OMLDw8XSpp2dHXx8fPDmzRuBy9jY2NTJ32FKOgghePv2LXbs2IE2bdqgRYsW6N+/P3777TeBF9vXVz/99BPy8vLg4OCAHj16oKSkBL/++qvII8VViYuLQ7du3QR6wKimpob79+/D398fISEhAn3/vby8cPXqVUycOFEc4Qqlxl4DwzC3GIaJquLL4rtrNgNgAzhXcaiKqqocmiGEHCOE9CWE9G3ZsiWA8hShL168qHbqVU5ODnr06IFRo0bVFH6dUVRUhJ6eHgwMDOrsw9bQ0JDb6SkoKMC9e/eQlZXFtwwhhDs6RVHi9P2QuLq6OnJycoSu4/bt2zAyMuL7YbtlyxaxZISRBCMjI/j6+kqs/rS0NHz58qVOR5Z/dMuWLavzBdJycnJwdHSEqakpZs6cKXA5e3t7ODo6cl/PmTMHz58/r3b2hChMTU0FytJmYGBQY2ZWQZWUlGDkyJFClaGdnobByMgIJ06cwJs3byAnJ4eRI0dizpw56N+/P/T19bFx40bs3r0b69atw+DBgxt8p6cCwzDYsWMH3r17h9TUVAQHByM7O1ts9RsYGAg1q2Lu3LmIjIzEnj178PLlSwBAcnIyevXqheTkZOTm5lYqM2zYMLHFK4waOz6EkBGEkJ5VfPkBAMMwVgDGA5hF/v9uOgVAu++qaQvgk6BBycvLo1evXtWe/+uvv5CRkSG2XOCiKiwslGr732vWrBmGDBlS45zW7OxsREdH4+bNm3UUGfWjyMvL4/7bxsYGT58+BYfDEaqOqKgoDB06lO81bdu2RVJSkighStTZs2fx559/SnSKRevWraGlpSWz0/waIiUlJWRlZUmls2llZQU1NTWBprOkpKSgS5cuPKP6FevsqtrHRxR5eXlo164d9u7dy/e6tLQ0kUd8ExMTMXfuXISFhXGPubi4wM3NTaT6qPpt7NixKCoqwtq1a7Ft2zbY2dnB2toa4eHhIISge/fu0g5R6iwsLFBaWopz587V+PAbKO+QiHuKnIWFBUJCQnDjxg2cPn0a58+fR7t27XD58mVs3boVGzduRHp6Ok8Zaa3/q9U8MYZhxgDYAMCcEPJ9L8AfwHSGYRQZhukEoAsAgce8lZSU+D6tGTRokEjzn8UtNjZW2iHwYBimylGyjx8/cv+trq4OAwMDntGyvLw8brprCwuLSuUpShBaWlo8I4kWFhZCJzhITU0VaG+ejh07ChuexFVMK6IansWLF8PZ2blWdQj7EKDCli1bMGnSJAQHB/Ot4+jRozAyMqp0fNiwYbh8+bJIbf+XiooKrl+/XmOa9jNnzmD9+vUitdGuXTt07doVJSUlIpWnGoYPHz4gNDQUly5dwsuXLxEYGIgtW7Zg2LBhGDRokLTDkym+vr7Izc3Fq1ev4Ofnx7fzU1ZWhnbt2kFJSanGemtKbPBfhoaG2LVrF169eoUbN27A0NAQOjo6OHnyJGxtbTFx4kSeB6TSUtsFMn8DUAZwk2GYVwzDHAEAQkg0gIsAYgBcB7CcECLcd5APMzMzLFmyRFzViczY2JjndXR0dLXXSmLnakF9vx7i7du3lXYVV1ZWxpo1axAXF4erV6/WdXhUA0H+s5GcpaUlLl26xH2dlpaGgQMHwtPTE/7+/sjIyABQfmPn4OCAHTt2CJwN7ePHj9xhfX6/d3WlrKyM7tnTgGloaEBHR0fotWXR0dHYtGkT3NzcRP75aN26NU6dOoXs7GyMGzcO8fHxlWYb7NmzB/3794e5uXml8rdv38b9+/cRGBgoUvsVZs2ahdOnTwuUEe7kyZMiZwlt1KgRNm3aJLVpMJT02dnZYfv27Xj16hVCQ0Nx8uRJaYck87Kzs/H8+XP4+Pjg/PnzPJ0WNpuN1NRUAMJlHBVl2mD//v1x48YNvH37Fm/fvsXIkSMRExODzp074/Tp0zKRPVjmNjDltwizsLBQqlliJCU1NRVNmjSBhoZGnbTn4eGBBQsWVDrO4XBkIlkEVT+tX7++0lNxW1tbuLi44Pz58wgJCYGzszNevnwJeXl5nDhxAoQQTJw4EVOnTsX58+exfft2PH36tMabK29vbzx8+BDv37+HpqYm1NTUYGxsDCsrK0m+xSpV3NROnjwZmpqadd4+VXe2b98OBwcHgW8e9u3bhzlz5vDstC4KDoeDR48ewdHREaqqqmjXrh338/rDhw+YM2cOLC0tqy2vpKSEtLQ0gaaWBAYGYtSoUZU6aiYmJnj06FGN0yxjYmLw9u1bOnuAEsnnz5/x22+/caeyUYL7/nPp5s2bGDFiBPd1WFhNBdcyAAAgAElEQVQYfv7550plJHnft3//ftja2kJdXR3h4eHcNellZWWVOlVsNhsMw4jtIaLENjAV95exsbHQmxfVV5mZmdwNWtlsNiktLZVyRP8vMzNTpuKhZF9xcTGxt7evdHzjxo3Ezs6OWFhYVFlOX1+f53VUVBRZuHChSDFMmzZNpHKC2r17NxkyZAjZuHEjAUD+/vtv8s8//5CmTZtKtF1KdkydOpWkp6cLfP3evXuFur46VlZW5MSJE6SkpKTSuQMHDpCEhAS+5f/44w/y6dMngdoKCAiosp2wsDASEhJSY/nTp09LbNNwquELCwsjjx8/bnCbj9aF9PR04u/vTwAQLS0taYdDCCEkIyODpKamEnNzc+6x/Px8ibcLCW5gSolIQ0OD2ztv1KgRz1O0tLS0OlvDVFhYiIiICJ5jjo6OOHnyJJ1jTQls6tSpmDFjRqXju3btgpOTE/T09Kos99/0tD169ED//v0xY8YMoRdfSjKbz99//40NGzbg/v37CA4OxosXLzBr1ixMmzYNnz9/lli7lGxRUlJCRfbRuhAWFoa+ffti6tSpWLBgQZVPQhcvXlxjGtvOnTsLPBo5fvz4KtsZOHAgLl68yPcpPIvFwv379+nMAUpkurq6KCgoaHCbj9YFLS0tTJgwAVevXkX79u1RUFCA1NRUvr+zwq7jEZampia0tbXh5+fHPSbt6W7000kGtWrVCgYGBtzXeXl5uHXrlkTaatq0KXcj1gr79++HtbU13w+ekpISfP36VSIxUfVP586d8e7duyrPxcbGCpWMYOHChdi2bRumTZsm1CaoCgoKSElJgZ2dnUCZbWri4uKCJUuWQFtbG6dOneI+LXr16hX69OkDNTU1yMnJyWxqbUr8Bg0axHfTaHHKyMjA5MmTcevWLYwbN67a6yqmsfEjrk28GYbhexNFCJHZPbao+uHOnTvo16+ftMOo116+fIlnz57BxMQEjRo1QkxMTLXX/ijpv79HOz4yiGEYnrmaSkpK6NmzpxQjqqy67EK0M/RjUlVVrbQr/JcvX+Dg4IAjR45g4cKFQtWnr68PHx8fsFgs/PHHH1i5cmWNCUIcHBzg6uqKuXPnYsOGDUK/h+8dPHgQBw8exPTp0xEWFibWjeGo+ktBQUFiO6X/l5WVFc6dOyfQuhxTU1PcuXOn2vNjxowRy742JiYmfEdz1qxZgwsXLtS6HerHVVZWBmVlZWmHUa9t374dBQUFiImJgbGxMTp27FhnD2zqA9rxqQcUFBTQunVraYfBo0mTJlVO+eC310VZWRkyMzMlGRYlJSUlJTzTY1gsFpYsWYINGzbg4MGDIi1WlJOTw7Rp07Bv3z44OzvD0dERf/75Jzcb3H/p6urC2dkZ+vr6UFdXF+l9XLhwAYMHD0avXr2QlJSEoUOHolOnTujatatI9VENy8SJE+Hh4SHw9Tk5OZX2rqiJv78/bG1t0b9/f4Ezm82ZMwd3796tdDwlJQWurq5Yu3atUNmcqmNqaorTp09Xe/7Lly8i799DUUlJSWLdbPdH1rRpUxBC4OHhAR8fH8jLy+P+/fvSDksm0F3wqFrJzMzkmTvepk2baq9t1KgRzXrVQHXo0AFv3rzhdhDYbDZYLJZAqW8FoaSkBDc3NyQlJcHe3h7FxcU4cuRIlXsRhISEwNTUVKj6CSHo2LEjPn78CA6HI5abRKrhUVZWFirTlKKiImxsbODp6YlOnTrxnHvy5AnYbHalTEvBwcFwd3cXKi45OTnuKPzbt28RFBQERUVFtG3bFsuWLRPbhrc9e/bE5cuXYW1tjcOHD0NeXh6ZmZkIDg7GnDlzYG1tLZZ2qB/TH3/8gQEDBiAiIqLSFHxKNGPGjMG8efPw9u1b3L9/H/fu3ZN2SFJHOz5UrdCODAUAT58+xaRJk7iv2Ww2dHV1xd5Ohw4dcOTIERw4cAD79++HnZ1dpWv+/vtvJCQk4PHjx9i9e7dA9VZM38nLy6OdHoovfqPa/6WkpIS///4bc+bMwcOHD7nHo6OjsX79eujq6mLt2rUwMzPDpEmT8ObNG6FH92NjY6GmpoZGjRrh/v37uHDhAuzt7aGjoyNUPYLatm0bXrx4gV27dkFHRwdlZWWwsrLC7NmzJdIe9ePQ1dVFZGQk/Pz8EBoaKu1wGgwvLy8wDANPT09phyITaMeHoqhaU1FR4ekEq6ioCLQztCg+fvyIoKAg3Lx5s8rzLVu2hI+PD/r06SNQx6diaoWLiwvdhJSqUWFhIVgslsA/K1paWpWmXq5btw4nT57kPhw4f/48vLy8MGDAADg4OAgcS1paGvbv34/S0lJoampi6NChaN68udAjRsIyMjKCkZGRRNugfjxHjx5FTk4OFBQUqt1vkBJN//798ezZM8ybN0/aoUgdXeNDUVWgCwGFU1RUxPM6Kyur0jFx2bp1K06dOlXlueLiYrDZbDRu3Jhn+o8gZs+eTTs+VI3Gjh2LXbt2CVWmYj1kRkYGrKysMH36dJ4R0RkzZmD37t2wtLQUKhW0s7MzXF1d4enpCQUFBYSGhmLFihVCxUZRsqIie23Lli1pZjcxCwgIENuU1/qOdnyoH05iYmKNSRbEkQHpR5GXl4fIyEieY48ePap0TBw+fvyI2NhYaGtrVzoXGBiIOXPmYPPmzeBwOIiNjRXoJrJx48b45Zdf0LRpU7HHSzU8JiYmQm8vkJWVBVtbW6xevRr29vaYO3euWGJJSUlBamoqiouLcfPmTbi7u1f5u0FR9UHfvn0RGBgIX19f9OrVS9rhNCivX7/GwYMHhVqj2FDR7l8DEB8fX+0GkVRlX758oekyxejkyZM803M4HA4uXLjAs2GZuLx69QrGxsZYv349gPKN0HJycvDt2zd8+/YNvr6+sLGxQUhICJycnASuNyEhAcuXL4eXl5fYY6YaFoZh8Ouvv6KwsFDgzrKvr69EYvnnn39gZ2cHDocDR0dHJCcnY86cORJpi6LqgpmZGS5cuEBHfMTs2LFjAMrvf1q1aiXlaKSLdnwagOjoaOjp6aGkpITudiwAExMTaYfQoFy/fh0zZ87kvj506BCsrKwksrGnubk5zM3Nua9fvHiBwsJCDBw4EJ8+fUKvXr2wdOlSuLm5CVWvoqIiRo0aJe5wqQZqzZo1cHFxgb29PYDyNLwdOnSo8zjk5eWxZ88e7msvLy80adKkzuOgKHFSUFBAUVER/VkWo/Xr1+Py5ctiy7Ran9Gpbg2ApaUlANBODyUV6urq3DUMN2/exNu3bzFy5Mg6advIyAi//PILQkJCMHz4cDx69EjoXepZLBaSkpJ4Om8UxY+6ujqGDBkCd3d3LF26FPPmzcPRo0d5rmGz2YiIiKizqSX5+fnIy8urk7YoSlISExNhYGCA4OBgaYfSoBgbG+PixYv466+/pB2K1NERH4qiRHbt2jUMGjSI+zowMBCurq51GsOzZ89w9epVgdf0fI8QAldXV0yZMkVC0VEN1aBBg6CqqgpfX1+EhIRg5MiRePPmDdTV1aGgoIB79+7Bxsam1tNKoqKiMHv2bDAMg8aNG+Pff/+t9HP+6dMnGBsbIyYmplZtUZS0KSgo4NatW2jevDnS09N/+GlZ4jR48GCEhYVJrX1CiExsFyHTHZ/Tp09j/Pjx0NDQkHYoFEVVISAggLu+59OnT3WeDS8jIwN79+7F2bNnhe70AMDOnTuxcOFCrF27VgLRUQ1dr169YGVlhdDQUNy/fx+5ublgsVjIy8vDrFmz0L59+1rVX1xcjNGjR+PJkydo27YtgoODMXHiRJ41Q5GRkTh37hw+fvxIk7JQ9Z6Ojg5Gjx6NNm3awMvLCwsXLpR2SA3GqVOnuNNzpeH69esYO3as1NqvINNT3ebOnUs7PRQlw7Zs2cLdM0RJSQktWrSos7Zfv36N+fPn4+TJkyKl6fTx8cGECROE3jCSor43c+ZM/PvvvwDK969q0aIFOnXqVOtOD1A+lfPGjRto27YtgPI9hL5f95CXlwdPT0/89ddftNNDNRjt2rWDvLw8mjVrJu1QGpTS0lKp3lPLQqcHkOGOT3Z2trRDoCiqBitWrICxsTGA8pu+xMTEOmk3NTUV5ubmYLPZOHnypMDlLCws0KVLF1y7dg0fPnxA7969JRgl9aMoKSmRyGjnkCFD8Pr1a7x79w5z587F2bNneTYn3bt3r9hSY1OUrImKipJ2CA0GIQSxsbHSDkMmyGzHhy7UpyjZ16RJE/z2228AgFWrVmH16tV10u6ff/4JDw8PBAQEICIiAjt27BCo3E8//QR5eXmYmZlh6NChkg2S+mEsX74cBw8eFHu9u3fvxsWLF/Hbb7/B2dkZPj4+UFNTAwC8fPkSenp6MDQ0FHu7FCULBgwYgLdv30o7jAZh2rRpGDFihLTDkAky2/GhaQwpSvZVTOd58eIFsrOzYWRkVCftslgsDB8+HPLy8jh+/DgSEhIwfvx43Llzp9oyZWVlePHiBTp16gR7e/s6i5Vq+Fq3bg1CCFJTU8Var4qKCnx8fBAZGckzJTMjIwOHDx/GrFmzxNoeRcmS8ePH4/bt29IOo0H46aefpJJyXxbJZMeHw+HQ3WUpqh6oSJ/r7e0NDw+POmkzPz+/0noGLy8vBAYG4vbt25g+fTqio6N5zpeWlkJeXh5JSUnczR4pSpzWrl2L3bt3g8PhSLSdy5cvY/PmzTh06JBE26EoaWMYBn369MHLly/rvO2EhATcvXsX/v7+8Pf3x+XLl+Ht7Y20tLQ6j0UcmjVrhiFDhghVprS0FHfv3pVQRNIjk1ndRMnORFFU3Xv06BGA8kQkEydOxLVr1yTeppubG3fvqv/auXMn8vPzsWnTJigrK2Pnzp0A/n9R5fz587F161aJx0j9eBiGwZo1a3DmzBlYWVlJpA0/Pz88evSo0p5BFNWQ3bt3D3369JF4O0lJSXj58iVYLBa6d+8OY2NjKCsrg2EYEEJACEFgYCCePn2K9u3bw9jYGCkpKTybasuiR48eoWfPnkKXU1BQgKmpqQQiki6Z7PhQFFU/tGvXDmVlZejRo0edZXTjcDjo0qVLteebN28OV1dXrFmzBmfPnsXs2bNhbm4OJycnmJiY1EmM1I+pU6dOEtt4cc+ePUhKSsLff/8tkfopShb169cPkydPxpo1a8Rab2RkJGJiYqCoqIhGjRoBALS1tTFhwgTu6+8xDAOGYWBubo7Ro0dDQUEBq1atgo+PD06dOoVLly5V+9D+2LFjsLa2Fmv8gkpMTMTPP/+MwsJCkcorKSmJOSLpox0fiqJElpWVxf2wb9GiBT59+gRtbW2JtqmkpISwsDC+nR8A2LdvH0aMGIGxY8dCQUGBdnooiWMYBu/evRNrnWw2G2ZmZhg1ahTt9FA/HBaLhY4dO4qlrry8PNy9exe5ubkwNDTEtGnTRKqnIvmWk5MTXF1d0aRJE2RkZEBLS6vK6xcvXoxJkyZBU1NT5NhF4e7ujmXLlsHZ2Zmum/8O7fhQFCWyRo0acXdi7t27N7Zu3Yrjx49LrL2ysjJcvXoVgYGBNV4bFRUFCwsL7N+/H7a2thKLiaK+J871qXfu3MG5c+dw7NgxujCZ+uEUFBSgtLRUbJkLr127hilTpohtOYWysjIAYMeOHWjVqhViY2PRtWtXnmtOnDgBCwsLREZG1mkm0WPHjmHZsmX4/Pkz3avuP2jHh6J+EBWdhfHjx3OPOTo6wsHBQaT63r59i379+nFfW1lZISIionZB1uDr16+Ql5eHiopKjdcqKCggMDAQly9fhqqqqkTjoiigvNMzePBgPHjwgO91RUVFUFRURFZWFlRUVNC4cWMUFhaiqKgInp6eaNWqFXJyctC1a9c6SxpCUbLG2dkZBgYGAqWKf/36NfLy8hAXF4dnz55BQUEBP/30EyIjI6Gnpwc2mw01NTWJrCGfNWsWOnbsCA8PD2zfvh1NmjRBWloaVqxYASsrKxBC6jzt/OLFiwGAdnqqwMhS9rS+ffuSZ8+eSTsMimqQWCwWAKBx48ZiqW/jxo1wcnLi/iF58uQJ3N3d4eXlJZb6q5KbmwtNTU2YmZlh3759aNeuXbXvZ8qUKdi3bx835TZF1QWGYaCoqIiQkBAMGTIEhBDEx8cjPj4eX79+xcWLF/Hzzz/Dy8sLQ4cOxeDBg1FQUIDo6GiMGTMGjRo1wrhx46T9NihK6lxcXJCamgonJ6dq93bMz8/HwoULYWVlBV1dXWhra6N58+Zwc3PDmTNnMGrUKERHR2P58uUwNTVFs2bNxB5neno6NDQ08PnzZ9y9exfjxo3DP//8AxsbGwQEBEBRUREPHjyAk5OT2NuuDsMwePPmDfT19eusTXEIDw+HgYEB4uLiatVZZBjmOSGkb1Xn6IgPRf0gxNXh+b6+75+eHThwAKdOnRJrG/+lqKiI3r17AwDevXuHy5cvIysrC6ampvj06RP69esHGxsbPHnyBH///Td92kXVOQ6Hg7S0NBgaGsLCwgKNGzfGwIED0b17d/Tu3Rvz588HwzAij7RS1I9i9erVyMrKwuHDh2Fpacmz1qekpAT29vbQ1tZG7969uZk7Kyxfvhzz589H8+bNAZRPk64qaYE4tGrVCiUlJfD19cWqVasAlK//YbPZ+PDhAwoLCzFw4EDs2LED9vb2Eonhe/Hx8TAxMal3nR4AMDExQXx8PPr06QNHR0eJfL/oiA9FUUJ7+PAhcnJyYGZmBgDw8fFBREQEtm3bVmftBwUFwd7eHpmZmQgNDcXMmTNx9uxZdOzYEYMGDaqTOCiKHxaLBQUFBe46OIqihFdUVIQ7d+5g//79UFFRQUZGBkJDQ/H69WsYGBhIOzwA5dNcGYbB8+fP4eTkhF9//RXBwcFQVVVF3759sXDhQty+fRstW7ZEv379qh3BEgeGYeDu7o4lS5ZIrA1J8/T0xO+//859LWxfhd+ID+34UBQltFWrVvHMu379+jUCAgKwefPmOovhypUr6NChA/r2rfKzjaIoiqLqXG5uLuTk5HDq1CmoqKjAz88PTZs2RXR0NF68eIG4uDjo6elJpO2jR48iLi4OLi4uEqm/ruTl5UFFRQXp6elo1aoVNm3axN2XTxD8Oj50p1CKooQSFBSEKVOm8BwLCwtDQUFBncZx+/ZtdOrUqU7bpCiKoih+VFRUEBsbi6ysLO5Ut0WLFuH58+cICgqS6BS0JUuWYN++fRKrv64oKysjJyeH24H78OEDGIaBr69vreumIz4URQmsrKwM2traSE9P5x7bsGEDSktLsXfvXolkzKkOm82GjY0NzM3NK83vpiiKoihZ5OrqikGDBqFPnz5ir5thGLGm1Je2iIgIbpKDESNG4OXLl3j16hXatm3Ltxwd8aEoqtY4HA4cHBwq7VPw77//wsXFpU47PQAgLy8PKysriWTpoQRHCMHTp0+lHQZFUVS9oK2tLZG/l9HR0RJL4CAtvXv3xqFDhwCU72uWmZmJx48f16pO2vGhKEog9vb2OHDgAIKCgniO/7cjVFcePnyIu3fvYvDgwVJpnyrn6+tb49M3iqIoqpyhoSHOnDkj9pGZI0eONMjEPkuWLIGSkhLev3+PI0eOYP369cjPz0dWVhYIIbh+/TrCw8MFro92fCiKEsj8+fOxfft2bnrQCpLMTsPPqFGjsGHDBqm0Tf0/S0tLtGnTRtphUJTMePnyJcrKyqQdBiWjOnfuDFtbWxw8eJDv6AWbzYanpyc2bdpU6dyLFy/AMAwmTJiA7du3Y8WKFejevTtu3LghydClpri4GOrq6liwYAG+ffsGOzs7/PLLL7C1tYWqqio8PT0Frovu40NRlEDu37+PtLS0Ssfl5OTw5csXaGlpSTyGkpIS3LhxA3FxcXj69GmdT6+jKIqqiSTWblANi7a2NubPn4+4uDj8/vvv0NfXByEEFhYW6NatGwghcHFx4T7cu3z5MuLj4wEAX758wd27d/Ht2zeoqalJ823UiYq/8yoqKgCAb9++AQBycnKgoqICQghOnDghcH1i6fgwDLMWwB4ALQkhGf87ZgdgAYAyACsJISHiaIuiKOlYuHAhpk+fznMsNjYWubm5iImJEUvHh2EY6Onp4cqVK1BSUkJCQgIyMzPB4XBQVlaGkpISmJmZYcKECbVui6IoShISExN5NtukqKqoqqrCxMQEJiYm3GM+Pj44f/48lJSUMGfOHKxbtw6RkZEICQmBqqoqcnNzYWhoyB3xaegIIXj8+HGVHRtVVVUQQmBjY4M///xT4Dpr3fFhGKYdgJEAPn53rDuA6QB6ANAGcIthGD1CCB37pah6rGvXrkhISEDnzp0BAN7e3vjzzz/Rvn17sdTfrFkzxMfH49u3b1BWVkbv3r3RunXrH+IDnqKohoF2eihRWVpawtLSkudYr1690KtXLyxatAgrV66EnZ0dMjMz0aJFCylFWXf27NmDYcOGYcGCBTzHORwOjhw5AgUFBSQnJwu1zlQc80T2A1gP4PtVWhYALhBCSgghHwAkADCpqjBFUfUDIQTOzs48Izve3t5i6/QAgJ+fH/T19TFo0CAYGhqiTZs2tNNDURRF/VBOnTqFw4cP8xxTU1ODq6srWrVqhc+fP2Pu3LmIioqSUoR1o3///nj9+jVu3rwJDofDcy4tLQ2LFi2Cv7+/UHXWquPDMIw5gFRCSMR/TukASP7udcr/jlVVhzXDMM8Yhnn29evX2oRDUZQEbdu2DRMnTuTOs42KihL7ovaxY8fS9NQNhJ+fn7RDoCiKqpc0NTWRn58PFouFoqIi7nE1NTVoaGjAwMAA8fHxGDFiRIPat+e/hgwZgt9//x1t27bF/v37ucfv378PU1NTkeqssePDMMwthmGiqviyALAZwJaqilVxrMr/GULIMUJIX0JI35YtWwoXPUVRdWbPnj04c+YM9/W1a9cwceJEkepKSUnB6tWrKx2Xl5evlDWOqp+kleacoiiqvhs/fjzWrFmDUaNGQU9PD2/evOE5z2KxMHXqVDRq1Ai5ublSilL8vn37BoZh0K1bNwDAtGnTAACdOnWCkpISACAuLg6JiYkib1xe4xofQsiIqo4zDGMAoBOAiP9NRWkL4AXDMCYoH+Fp993lbQF8EilCiqJkgpGREc+0s+LiYowaNUqkutzd3aGnpwc3Nzc0bdoUampqSElJgYuLCxYvXiyukCkp0tfXl3YIFEVR9ZaCggL09PQwZ84cXL16FQoKCrh27Rru3buHv/76Czo6OujYsSNUVVWlHarYHDt2DGw2G/Ly8pg8eTKuXLmCixcvwtjYGP7+/igpKcHVq1dhZ2cnchsiJzcghEQC4E72ZxgmEUBfQkgGwzD+AP5hGMYF5ckNugAQfHchiqJkTlhYGBiGgZKSEoqLi7F8+XLIy4v2EZKYmIg//vgDGhoaYo6SoiiKohoGQ0ND6OnpcRf3L1u2DJ8+fUKXLl0AAKdPn5ZmeGIVEREBhmHQqFEjPHnyBJmZmXj69Ck+fvyIFi1aYPfu3TAwMICtrW2t2pHIPj6EkGiGYS7+H3v3HR9FtT5+/DPZbHollTR6gIRipOhFJHQpIqBS4gUBQVRQQBQLIAr3ggJelQuoX5EmgoAKgoi0oEiQDqGEBAhB0hvp2WTr/P7gsj+RFiAhAZ/36+XrZWZmzzyTsLvzzDnnOcApwASMlYpuQty7CgoKrP9vNBoB6NChA99//z3NmjW75fYaNGjAxYsXMRqNbN++nSFDhlRarEIIIcT9YMyYMUycOBEvLy/CwsJwdna2Jj1ms5nt27dXc4SVIycnh6+++oq5c+cCWEt8r1q1irKyMrp2vebgs9tSaYmPqqp1//LzTGBmZbUvhKg+06ZNw9bWFpPJRFBQEBcuXGD58uWsWbPmttqbMmUKtWvXJj8/n+7du+Pj48Njjz1WyVELIYQQ97asrCzCw8OvKmLw+OOP061bt2qKqnKtW7eO999//4pFybdu3cqFCxcYPXp0pZ5Llj0XQtzUsWPH6NChAwDp6enExsbSsGFDnJycbqu9+Ph4nn76aTp06ECXLl145JFHKjNcIYQQ4r6wYMECIiIirOWc4+LiUBSFLVu28Nxzz1VzdHcmKSmJJUuW4Ofnh52dnXV7bGwsGRkZlZ70QBUNdasKer0ee3v76g5DiL+dhIQEkpOT+eOPP2jfvj16vZ6wsDCysrKYNWsWU6dOveU2jx49SmRkJJ988sltJ09CCCHE/c7T05M1a9ag0WgYOXIkixcvtu67V3t8VFVl586dnD17lpEjR6LVaq37EhISiI6O5rXXXquScys1qf5369at1UOHDl213Ww2WydRm0wmNBrN3Q5NiL+tvn37otfr2bp1K1qtFqPRyMaNG/nHP/5Bv379iImJueU2hw0bxvLly6sgWiGEEOL+c+rUKZYsWUKtWrV46aWX8PT0rO6QbtmZM2f44osvaNiwIZ07dyY0NNS6T1VVdu3axcqVK/nyyy/R6XQ4Ojre1nkURTmsqmrra+67FxIfgO+//57Vq1ezfPlyeUIsxF1UWlpqXVtHURRUVUWv17Njxw4+/PBDZs6cecsLiTVp0uSqdQmEEEIIcX8aPXo0rVq1IjIy8qp13mJjYzl9+jSPPvooAQEBd3yuGyU+98wcn6eeeoo1a9ZI0iPEXTRv3jx69epl/VlVVfr06YOdnR3R0dH4+/vz+eefV6gtg8HA+vXrCQ0NpW/fvlUVshBCCCFqCJ1OR2BgIC1atGD06NHXXNw6KSmJQYMGVUrSczP3TOIDXFHtQQhR9bp160ZKSsoV2y6/D6OiorC1tbWuL3AjmzdvxsXFhZdffpnMzExmz55dJfEKIYQQomYoKyvD2dmZgQMH8vLLL1+xCPplZ8+epbi4+K7FdM8UNxBC3H2HDx/mjz/+uGLb9u3bsVgstGjRgoSEBFq3vmZvstWSJUsIDQ3FYDBUYaRCCA3bx1AAACAASURBVCGEqEkuj9L66KOPrntMaGgo5eXldyuke6vHRwhxd23fvv2qtQNKS0uxsbHh2LFj1K1b96bDT7/99lvat29flWEKIWqw8+fPs2nTJuvPNWlusRCiaj3yyCMsW7bsioXQ4dLC6FOnTiUiIuKuVm2WxEcIcU2PPfYYK1asAKBp06bApTk/l0VERODn53fTdp566ik+++yzqglSCFHj1atXjwceeAC4lPSMGjWKDz74oJqjEkJUNYvFwooVK2jfvr11qFvnzp3p1asXzZo1Y9q0aRw5cuSuxnTPVHUTQtxdL7zwAl988cUV2/78edG/f3/effdd6w3NjZw/f541a9YQHBxMYGAgHTt2rOxwhRBCCFEDdezYkV27dhEQEMC5c+ewt7e/5nyfynJfVHUTQtxd8+fPZ/ny5Xz11VfWbZmZmQBs2rQJR0fHa1ZnuZZ69erx1ltv8c9//hN5uCGEEEL8fRiNRnbs2EFqaioODg5VmvTcjCQ+Qohrev/99xk2bBjPPvusdVvt2rW5ePEiq1ev5quvvsLBweGW2oyMjGTXrl2VHaoQQgghapjY2FgA9uzZQ5cuXao04UlPT8dkMt30OEl8hBDXtGDBgmtud3Nzw2AwkJ6eXuG2MjMzGTduHN26dWP9+vWVFaIQQlSKnJyc6g5BiPvO5fnBd0NAQAC2tjcvVi3lrIUQVykpKSE3N/eKbXPnzuX111/nq6++omHDhoSEhFSorQ0bNnDq1CnmzZtXrd3bQghxPYGBgRiNRpo2bcrRo0dRFAU7O7vqDkuIe9rdrNZWUZL4CCGuSaPRYDabrT9PmjSJ9PR0VFXl448/rlAbOp2OAwcOMHPmzKoKUwgh7oiqqhiNRgDi4+NxcHCgR48e/Pzzz9UcmRCisslQNyHEVVxcXK5Iei6LjY2tcNIDEBMTw4gRIyozNCGEqFQWi4XevXtfsW358uXVFI0Q4lapqsrmzZsrdKz0+Aghrik+Pv6q8bkajQaLxYKNzY2fmXz33XdkZ2fj5eVFw4YNqzJMIYS4IxqNhg0bNqDRaKo7FCHEbVAUhV69elXoWOnxEUJc0+HDh6/atmPHDoYPH05UVBTx8fHXfN3+/fvx9PRkzJgxDBo06LbObTAYOHny5DV7nYQQorJJ0iNE5SkpKUFRlGveR1Q3SXyEENfUpUsXvLy8rth2/vx5li1bRkREBHFxcdd8Xffu3Su8vs/1LFiwgIEDB9K/f3+6du2Koihs2LCBDh068NNPP1GTFl4WQgghxP9nZ2dHz549adWqVXWHchWlJt1AtG7dWpXFDYWoOW5UhW3Lli089thjV2xLSUkhJCSEqKgoVq1addvnPXr0KP369SM5Ofm6x5jN5psOuRNCCCHE34uiKIdVVW19rX0yx0cIcV03WnB027ZtxMTEWH+2WCxYLBbGjh2Lj48Phw8fvu2nPWaz+YZJz7FjxyTpEUIIIcQtkTsHIcR1ff/999fdd+7cObRaLe+88w7BwcE0adKEzMxMkpKS+Oqrr+6ohHXr1q2tJWaLioqIiIjA0dGRevXqodfradGixW23LYQQQojqcfjw4Wpd00+GugkhbuhGH1BhYWE4ODhw5MgRAJYsWULPnj2JiYlhwIABmEymSps0vGLFCgCGDh1aKe0JIURF6XQ67OzsGDRoEO3ateO1116r7pCEuGeZTCZsbatu0JkMdRNC3LbMzEwCAwOvWWEtPT2dWbNm4ebmxg8//IDBYGDlypW0a9eOBx98kJ9//pnHH3+8UuK43QpxQghxp5ycnAD4+OOPOX36dDVHI8S9rSqTnpuRoW5CiBvy8/NDp9PRtm3bq/YVFRXx3//+lyFDhpCcnIxGo2HkyJFYLBbefPNNEhISGD9+fKWUpbazs8POzu6O26lsBoPhmtvNZjOqqrJo0SIiIyOZMGECaWlpdzk6IURlCgkJoVu3btUdhhDiNslQNyFEhVV0XO7HH39MQEAAAwcOJDMzk3Xr1lFQUMC4ceNwcXGp4ihrlk2bNtGnT58rtm3btk1unqrA119/zZAhQ6o7DCGEuOdduHCBkJCQap2Pc7tuNNRNenyEEBWm1+v56KOPGDhw4A2P27hxI8899xwjRoygY8eOeHh4MHToUN58803CwsLw9/dHURQURSE4OPguRV89Hn/8cVRVpbS0lJiYGJycnOjevbt1LaKa9PDpXte3b9/qDkEIIe4LdevWvS+/n6THRwhxWwoLC9m5cydDhw6ltLT0usfVqVOHvLw8GjZsyMSJE6lfv761KtvfrfcH/n/Zb1tbW1RVpaSkBFdX1+oOSwghhLCq6gIEVelGPT6S+Agh7ojZbGbfvn1otVr69OlDdnb2VcfMmzePcePGVUN0QgghhPg7kaFuQogqo9FoeOSRR2jbti1ZWVlcuHCBCxcuoKoqmzdvJjw8HG9v7+oO876Uk5ODxWKp7jCEEEKIe4L0+AghxD2qoKCAlJQUmjVrdk9OQBVCCCEqm/T4CCHEfcjDw4MmTZoQHR1d3aEIIYQQNZ4kPkIIcQ/TarV07dpVhrwJIYQQNyGJjxBC3ONUVeW3336r7jCEEEKIGk0SHyGEuMcpikJ8fHx1hyGEEELUaHec+CiK8oqiKKcVRYlTFGXOn7a/rShK4v/2PXan5xFCCHFtWVlZREVFVXcYQgghRI12R4mPoiidgL5AC1VVw4EP/7c9DBgMhAM9gE8VRdHcYaxCCCH+Yvny5djb26PVaqs7FCGEEKJGu9Men5eAD1RV1QOoqnp55cK+wGpVVfWqqp4HEoG2d3guIYQQf/Hkk0/i4eGBs7NzdYcihBBC3FW3WtjnThOfUOBRRVH2K4qyS1GUNv/bHgik/Om41P9tu4qiKKMVRTmkKMqhnJycOwxHCCH+XlxdXas7BCGEEKJa2NjcWipz06MVRdmhKMrJa/zXF7AFPIGHgUnAWuXSKnrXWknvmiulqqr6haqqrVVVbe3j43NLwQshRFWaMWMGjRo1YvTo0XTo0IGatOCzEEIIIW6N7c0OUFW16/X2KYryErBOvXQ3cEBRFAvgzaUenuA/HRoEpN9hrEIIcV1Hjx5l1KhRjBo1Cp1Ox7Bhw/D29r6jNqdNm8a0adMqKUIhhBBCVKebJj438QPQGfhVUZRQwA7IBTYCqxRF+QgIABoBB+7wXEIIcV0REREcOnQIgPLychwdHas5IiGEEELUJHc6x2cJUF9RlJPAamCYekkcsBY4BWwBxqqqar7Dcwkh/saSk5Px9vZGURQUReH06dNXHXN5nyQ9QgghhPgrpSaNWW/durV6+YmtEOLvKzMzk3HjxvHLL79gMplwcHDgzTffJCAggMcffxwnJ6fqDlEIIYQQNZCiKIdVVW19rX13OtRNCCEqxcWLFxk6dCibN29m7969TJkyhYKCAiZPnkyHDh2uqtxiNBrRaDS8/fbbuLm50a5dOyIiIvDw8KimKxBCCCFETSY9PkKIGiMhIYHVq1fz3nvvAWAymdBoNOzdu5eHHnqIuXPn4ujoyK+//srPP/+MXq+ndevWZGRk0LZtW5o3b8706dOr9yKEEEIIUW2kx0cIcU84fvy4dZhbw4YNGT9+PP/973+Jjo5Go9EwcOBA/vOf/3D8+HEsFgvz5s1jwIABeHl5YWdnV93hCyGEEKIGk8RHCFFtCgoKePHFF1mzZg2tW7fm0KFD+Pr6YjabURSFkydPcubMGdzc3HB1dWXw4MEEBwej1+sBWLt2LeHh4XTp0qWar0QIIYQQNd2dVnUTQojbNm3aNI4dOwZAfHw8cGnuTmRkJOvWrWPx4sXodDpGjhzJ/PnzSU5OJjk5GVVVSUhIYNOmTZL0CCGEEKJCJPERQtxVixYtYv369QBotVoSEhIYN24cs2bNoqysjDZt2uDh4YGXlxfvvfcecXFxfPHFF2RkZBAc/P/XRW7cuLEUMhBCiCpSXFzMli1bSEhIsG7LzMwkPDwcmY8t7lUy1E0IcddoNBosFgsPPvgg+/bt46OPPqJ3797MmzcPgOjoaIxGI5MnT0ar1WIymZg1a1Y1Ry2EqGxmsxmj0UhGRgbJyck4Ojri6OiIq6srwcHBaDSa6g7xnpWVlcXUqVP57LPPsLW9/du8+fPn88MPP9CrVy/eeustNBoNmZmZTJ48GRcXlzuO02KxkJubS2ZmJmlpaVy8eJGmTZvywAMPyN9fVBlJfIQQVUqn09G9e3dcXFyYM2cO06ZNo6ioCBsbG9LT0+nZsyeffvop7dq1Y8uWLRQVFdGwYUMAXnzxRT777LNqvgIhxJ06cOCA9ebW09MTOzs7tFottWvXplmzZpSVlaHX68nPz+fQoUOkp6fz+OOP4+/v/7ddt8tisVxVxr8i/Pz8WLRo0Q2POXLkCB988AFt2rRh1KhReHp6otPpKC8vp1atWhgMBvLy8vjss88YNGgQISEh+Pv707hxY1q1akVCQgKnTp3CbDZbH1I5OTnRuHFjgoODb1hs5siRI3zzzTf84x//wM/PD39/fzp37oydnR1//PEH//d//0dpaSmTJk265WuvKL1ez/HjxwkKCrpucRxVVdmzZw8xMTHUrVsXjUaDra0tBoMBuPQgz2w2k5mZSbt27cjJyWH9+vU8+uijhIaGWtusXbs2tWvXrrJrqS5r1qxh0KBB1R3GLZNy1kKIKhEfH8/ChQtxd3fHaDTi5eUFwJw5c7h48SIJCQmkp6fTpUsXsrOzmT59OnFxcSxatAij0Yivr6/1NUKIe8fJkydZtWoVr776KrVq1eLUqVOsXLmSJ598krZt21aojYULF/Lyyy8zZMgQAgICmD17dhVHXbOMGDGCxo0b06tXL1auXMns2bMpLi7m1KlTODs7U1xcjIeHB6qqkpeXR1paGjY2Nmg0GlRVxWg0Ymtri42NDWvXrqVPnz7Y2dmRmpqKVqvFw8MDe3t7jhw5gqIoNGrUiN9++41ly5YxduxYwsPDSU9PR6PRMHXq1Ar1HJWXl3Po0CFycnIAiImJwWQy0a9fPzp16oSqqhw+fJg9e/bwww8/8Msvv1y3rQkTJtC+fXtMJhNarZannnrqpudXVZULFy5gsVioX78+Fy9e5Ny5c2RlZZGbm4vJZOL8+fPUr18fnU5H165dmTFjBmvWrKGkpARnZ+cr2nvxxRcZM2YMLVq0uOF5L39ndenSxZr07d69m/T0dP7xj39w6tQpDh06RGhoKA4ODqSlpVFcXExISAi+vr74+fmh1+tp0aIFDg4OGAwGayJZk73xxhsMHjyYkydP8uyzz1Z3OFe4UTlrSXyEEJVu3bp1ODk50bNnT7y8vNDr9djY2FBYWEhhYSH79u2jR48efPnll/j4+PDEE09Ud8hCiNt08eJFsrOzadKkCYqicPjwYWbOnMn69etp164d9erVY+XKlXTu3Jno6OibtmcwGBg2bBirV6/mxRdfpF69enh4eHDo0CHc3d0ZMGBAhROoe0lWVhZbt27F1dWV2NhYDh48SPPmzfH39ycgIAB3d3eaN29Oeno6/v7+FBUVodFocHV1xd/f/7rDw1RVRVGUm55fVVWio6Pp0qVLhY6/mczMTLy8vDhz5gx79+7F3t6egIAAOnXqdMOerF27dpGXl4fFYmHnzp24u7sTEhLC0aNHad26NUajkfLycuLj47G3t6egoIC0tDTMZjPu7u489dRTnDhxgl69elG/fn3r0ElFUTCbzdjY2Fxxfdu3b+f555/n/fffp7i4GBsbG7Kzs2ncuHGFEq5bZbFY0Ol02NnZUV5eztmzZ/H392fnzp04OTmh0WjYunUrZWVlACxbtqzSY6gsqqpy8OBB6/vx/Pnz1KtXr5qjksRHCHEXrV+/nqNHj7J3717y8/P5448/KC4uJigoiHPnztG6dWs8PT2xWCzs2LGjUr5ghRB3j8ViITk5mYKCAlJSUnjiiSeIiorim2++wc3NjRkzZnDhwgXc3NwYNmwYnp6eODo6oihKhdbbslgsxMTE4OnpSfPmzYFLN1hms5kVK1bw1Vdf4evrS1RUFHq9npSUFHx8fHBzc6O8vBwbGxvs7OxQFAVVVbFYLLi4uODk5ERQUJC1KIqTkxP29vbW8+bn52M2m/H29q6aX9yf5OXlceLECS5evIhOp2PRokX07duXkSNH4u7uXuXnr6kOHDjA0qVLCQ0Nxc3NjQcffJBmzZqh1WqvOjYvL49Ro0bxz3/+k6CgIIKDg6ldu/Z98Z1iNBrp0KEDc+bMIScnh+PHjxMYGEjHjh1p1KhRdYd3XQ899BDR0dGVMgfsTkjiI4S4q/bu3Uvt2rVxdXXlo48+YtasWRw+fJgHH3wQRVHo378/Xbt2ZcyYMdUdqhDiJjZt2kRhYSG2trbk5eWRmJhIy5Yt8fb2pkGDBri4uBAQEMDu3btxcHBg48aN+Pn58corr1RLvH/t4VBVlfLycnQ6HSkpKRQWFmIwGDAYDBiNRutcGjs7O/bt28eMGTMqLZaioiL27dtHSUkJgDUZ8/T0pFmzZtjb2+Pm5lZp5xP3h+joaL777jv69OlD27ZtsVgsGAwG6tSpQ7NmzTh48KAs2n0DkvgIIarN5THau3btokOHDvz2229ERkZy7NgxDh06RHx8PKmpqbRp04aJEydaX6fX662TSYUQFaPT6cjLy8PBwQEPD4/bev/88ccf1iFGl4flDBs2rAqirXlef/11tFot77///h239dlnn6HT6Rg9ejSurq6VEJ34uysqKuLJJ5+kf//+2NjYYDAYcHJyoqioyPpAwtfXl7179/L+++9TUlKCm5sbNjY2mEwmOnXqxLPPPsv58+fv64qpkvgIISrdokWL8PDwQKPRUFpayqFDh5gzZ4516IjBYMDOzo5ly5bxxhtvkJCQQK1atYBL44CPHj3KhAkTKC8vJycnB4vFgl6vx8HBAYDff/+d7Oxs+vXrV23XKERNl5qaSkBAADY2Nrz33ns89NBDpKamMn/+fHr06MGUKVMqNHTq4sWLLF26lLp162JjY0Pfvn3/diWFZ82axZQpU4iJiaFRo0b4+vreVjuqqvL444/Ts2dPunTpQtOmTSs5UiFubOnSpezevZt+/fpRVlZGSUkJ5eXlODo68uyzz/Lss8+SnZ2NnZ0dY8eOpWfPnpjNZuuDknt9uKAkPkKISvPTTz9RXl7Otm3biIiI4MUXXwQurfmwZ88e/v3vf3Po0CEWLVrE0KFD2bdvH66urvz73/++Yjz9Zaqqsnz5cnJzc9m8eTN16tRh5syZBAQE3O1LE6LGS05OxsvLi++++46hQ4eyf/9+wsPDcXNzY926ddjY2NC9e3diY2NJS0vj9OnThIWF8eSTT2IymayTvOHKIWHnzp3jmWeeYf/+/dV5edVm0qRJ2NjYUFRUdNMS+n8dSldSUsKGDRtITk6mvLychg0b0rhx4/uyAIO4f5jNZg4dOoS9vT3x8fGYTCbefvttXnnlFfz8/MjOzsbZ2Zk6derw2GOPXXOeVU0liY8Q4patWrWKdevW0aJFCx5++GG6d+8OwLFjxzhx4gSTJ0/mP//5DwMGDLC+xmKx8OKLLzJ//nyGDBnCt99+i8lkqvBwm5EjR+Lt7c3AgQPJyMjg8ccfr5JrE/e+vLw866KXd+LPa6XEx8dTv359a4JeXl6O2Wy+qswtXCp1q9PpeOyxx/jnP/95RzH8ldFotJYm3rVrF+vXrycqKor09HQURblmL6jJZOKXX37h1KlTjB8/3ro9Li6Obdu2UadOHVJSUjAYDCQnJ5Obm8vBgwdZtWoVH3zwAb6+vrz44os88MADlXotNZnBYODXX3/lxx9/pFmzZkybNo3MzMxrPu3Ozs7m7NmzREdHExcXh9FopHbt2vj6+pKRkUHHjh0ZPHhwNVyFEFWnvLyc1atXM2LECFJSUggKCqrukCpEEh8hxC378ccfMZvNJCYm0r1796vWMsjMzKRTp048+eSTrFu3jrKyMjp16sTbb7/N6tWrCQwMxNHRkWeeeabC5xw/fjzHjh1jzZo11htamfh7/zEYDOzYsYM2bdrg4+Nzxb6DBw9y/vx56tSpw759+4iMjLzmzXi3bt2YMGECvXv3xmAwsG/fPgIDA/H19WXu3Ll07NiRyMhI3nrrLUaPHs3BgwcZOHAgEydOxNXVlREjRvDqq68SGhqKr68vo0aNYsGCBQwePJiSkhL8/PwYNGgQ2dnZTJ06FVdXV7KysnB0dMTV1ZUDBw7g6enJwYMHee211wgMDMTHx4dZs2YRHBzMxYsXmTx5sjXeoqIiVqxYgY+PD926dcPT05OSkhKio6Np06aNtYfz4MGDzJ8/n3PnzrF9+3YKCgooKCggLCwMg8HAzp07yc/PR6vVYrFY0Gq11hK9ISEhtGrVqsLDVFJTU/nuu+8oKipi2rRpd/AXvfeoqsqjjz6Kg4MDEydOZM+ePbRt25a+fftecdzevXs5d+4cGo2Gjz76iO3bt1urwgnxd2AwGMjKymLTpk3k5OQwZcoUvvjiC7y9vdHr9ZSXlxMVFUVZWRm1atW6rUV3K5skPkKICisoKGDfvn2UlZWRkZFBXl4eO3bswNHRkXfeeYd27dpZj83Pz6d3794MHz4ci8VC7dq1eeKJJyguLqZ///5MnTqVc+fOMWrUqAqd22AwYG9vj1arZdGiRWzevJmVK1dKgYN7TGZmJhqN5oqkZv78+djZ2eHr60t5eTlbtmzB39/fmlRcNnz4cFJSUtBqtQwdOvS6vSk6nQ4nJydWrlyJnZ0d+/fvp379+nh4eJCQkGAt+arRaKwLAl7uwenRowdlZWWEhobi5OSEXq9n9+7d1rhtbW05cuQIM2fOvOmXeEpKCufOncPNzY309HRsbW3ZtWsXPXr0wNXVFVtbW7Zs2cKBAweYM2cOEyZMoLS0lJEjR3L06FHeeecdoqKi6Nq1K0OGDMHT0xODwUB2dja///47xcXFuLq6YjAYcHFx4dFHH8XPz68S/koCoLi4GL1eD8Ds2bOZO3fuFfsPHDhg/ftMnjyZOnXqVEeYQtQIa9eu5dtvv6WkpITFixeTnp7OqVOnOHz4MI6OjrRq1Yrc3FxKS0vx8fHhtdde49VXX8Xb25u6devy2GOP3ZU4JfERQlTY9u3brWN7L38+WCwW2rZty4EDB5g4cSI6nY5x48bh7e1NUlISHTt2JDs7m+zsbN58800Axo0bx7x582jXrh179+6t8PlTU1M5dOgQ/fv357///W+1lcQVFWM2m/n5558pLy+nd+/eZGZmMnr0aJo0aULnzp3Jy8tj5MiRpKam8vnnn/Ovf/2L7OxsFi5cSEFBAf369bNWHDp37hwFBQWsW7cOd3d3pk2bRkREBD/++CNt2rShQYMGnD59ml9++QVfX19yc3Px8fGxTkT39PSsEePQVVXl7NmzaDQazGYz/v7+uLi4XDeJUlWVnTt3UlhYaF1BXq/X4+zsTJ8+fWrEE9T7VWlpKd9//z3R0dHMmTPniqQyJyeH1q1bExsbi6enZzVGKUTNoKoq6enpHDlyhIyMDEaPHn3T1yQmJvLpp5/y8ccfs2LFCgoKCujatStNmjRhy5YtdOvWrdILqUjiI0QVMBgMlJeXU1pailarxdvbm9jYWPbt20fHjh0JDAxEURRSUlJwdHSkTp0691SlFIvFwkMPPcS4ceP49ttvefjhhzl48CBffvklc+fOxd7ensGDB+Pu7o6Li8tVQ9I+/PBDBg8ezKpVqwgPD6d3794VOu/bb7/NggULKCkpYe/evTz88MNVcXmikuh0OpYsWYLBYODYsWNcvHiR77//Hnt7e1RV5f333yc3N5dGjRqRlJRkfaKen59vLVmu0WhQVZXc3Fx++uknRowYgcViYfv27Tg5OdG0aVNmzZrFww8/THh4OO3atZNkQNyxzMxMBg8ezLp169i5cydPP/00ZrMZRVGIjY3l+eef56GHHuLTTz+t7lCFuG+YTCbWrVtHdnY2n3/+OW3atOGDDz6o1J5sSXyEqESjRo2iuLgYGxsbvL29+e6771AUhenTp7NgwQLefvttoqKiAHj00Uc5duwYRUVFAOzZs+eKoWI1mclkYvny5Xh4eFBQUEBMTAyNGzfGw8ODxo0bs3XrVlatWoVWq0Wr1RIVFcW7774LwK5du3jrrbeIiYlBo9EwZcoUBg8ebF2F/XrGjx/P7t276dq1K3PnzmXkyJEMGjSIbt263Y1LFrfonXfeISkpiYULF+Lh4YGiKHz88cdMmDCh0s91+bvqXnp4IGq27t27s2HDBnJycpg+fTqLFy9m1KhRKIpCYmIimzdvvuPiGUKIa1u9ejXvvPMOTz/9NBMmTJDER4iaxGKxcPjwYSwWi/XG//Jq4Dk5OZw+fZolS5YQGRlJYmIiWq0WLy8vnJ2d0el05Obm8sEHH/DJJ59w4MABgoODmTlzJomJiWzZsoXOnTvTqFEjvv76a7y8vEhKSuK1114D4IcffiArK4ugoCCaNm1K/fr179p1/7Vsq9FoZOzYseh0OrRaLfn5+ZSXl1srSTVo0IBff/2V3r17ExkZiZ2dHdHR0Zw7d65CXeKXDR8+nOXLlxMeHs6hQ4esa/uIu+PChQvUqVOHjIwMBgwYwK+//mqdZxUXF4eqqoSGhnLmzBlOnjyJra0tNjY25OfnM3LkyGqOXoibO336NDt27CAyMpKtW7diZ2dHYGAgKSkpvPDCC/KZI0QV+Pzzz9myZQsGg4Gff/6Z8PBwTpw4UekPtCTxEdVCVVVUVb0nh6QYjUZGjhzJiBEj6NSpE3FxcXz++efUrl2bf/3rX3z55Zc4Oztbh0UoinLFdZ45c4bt27cTFhZGQEAAK1euBCAsLIy5c+fi6enJhAkTePLJJzEYDJjNZry9vcnKyuKXX37hwIEDeHl5kZCQgI+PD8888wwfNgdpYQAAIABJREFUfvghb775Ju3ataNRo0Z4eHhQUlLC0aNHad++/U0/OIqLi/npp5/Iy8vDx8cHR0dHevXqdc2/z+bNm5k4cSKnT5/mm2++Yfv27TzyyCM89NBDhIeHA5cm/Z4+fZr8/HxGjx6NqqpcuHCBrKwssrOzsVgsAHh5edG1a9cK/+4/+eQTGjVqhKenJ4MHD6ZXr15MmjSJBg0aVLgNcWfS0tIIDAwELs2B+O233ygpKUGj0RAXF8cHH3zA4sWLCQwMrNC/PSFqkoULFxIfH8+7777L3LlziYyMrPBQXCFExZSWlhIREcHAgQNp06YNOp2On376CRcXF1q0aGEd+lwV3x+S+Ii7TlEU3n77bVRVJTAwkNTUVF566SWCg4OtN9rFxcUUFBRgsVgIDAy8YmG9miAjI8M6dwculXf+9ttv8fDwICAgAA8PD1xcXEhKSsLHx4fp06fz0ksv8dZbb2E0GjGZTJSWlvLLL79gb2+PTqezVprKzc3FxsaGhg0b4uLigoODA+Xl5Rw/fpykpCT8/PwIDQ2lWbNm1kl/MTExGI1GXFxc+OWXXwgJCUFRFHJycigsLKRp06YoisLp06d57rnncHFxwcnJCbiUhD744IO89dZbbN++nS+//JKMjAxGjBjBqFGj0Gg0mEwmioqKqFu3Lq6urpw6dYrk5GTi4+MpKyvj/PnzDBkyhICAAM6dO4dWq8XFxYWQkBC0Wi1Go5FGjRrh7+9PrVq1bvv3HhUVxerVq/H19aV9+/YMGjSIJ598Uiq7VbKTJ09ib29v/Td5LXv27CEhIYEHH3yQiIgI4NJDAVtb2xr1XhXiViQkJFgnZ0dERNCpUyf59yzEHcrOzqZr166cP3+eM2fO8Mwzz9CsWTMWLFgAwHPPPceCBQtISkoiNTWVxx9/nMLCQut9SmWSxEdUiosXL+Lm5lahqkmxsbGkpqYSHR1NVlYW27dvp0mTJrzwwgusXr2aV199le+//57PPvuMKVOm0LZtWwwGA0lJSbz55pt8+umnvPHGG7Ro0YK1a9danz7/9NNPpKamsnTpUrZt24abmxuLFi3Cw8OD2bNnM3nyZHr37m1dgPByj8yd9jrFxsai0+lYv349LVu25MyZM/j7++Pn50d8fDzNmzfH3d2dRo0aERAQUK1fohs3biQ7O5uQkBDS09Ot630EBwfTsWPHK479802sqqq89NJL1mNcXFxo3rw5f/zxBwD29va0aNGiSj6k/uzw4cN07NiR8vJydu3adc/MiboXlJSUMHv2bBRFoaioCBcXF/79739f9/gzZ87w8MMP06NHD5566il27tyJvb09H3300V2MWgghRE2XmppKcHAwAAMHDgRg+fLl1x02Wlpaes3FoSuDJD6iwrKzs8nNzbX2aFw2e/ZscnJy+PXXXwkLC6NevXpMnz79qtcvWrSIffv24eXlxZQpU3B3dwcurf67YsUKPDw8sFgsuLm58dBDD9GmTRs+/PBD6+s/++wzNmzYgNFoJD09nQ0bNnD69Gm6du3KsmXLsLGxoXnz5jRv3pzjx4/TrVs33njjDY4ePcrJkydp2bIly5YtY9iwYcCloWWNGzemd+/erF27lhkzZtxWlbDvv/+ebt26YW9vz969e3n00UextbUlOjqa5ORksrOzeeONN265XXGl6OhoXnrpJc6ePYuDgwOfffYZw4cPr+6w7huX56QZDAbGjRuHr68vS5cuveIYs9nMnDlzCAsLsxYU0Ov1bNiwgRkzZtCwYcPqCF0IIUQNc+HCBSZPnkyHDh2wWCwYjUbWrl3L0qVLbziaoKpJ4vM3ZzKZSE5OvmpSvE6nw9bWlueee46ePXvi4OBAQUEBjz76KOvWrUOj0eDt7Y2bmxsmk8m6EGBRUREGgwF/f39rKdrL8zk0Gg1JSUkkJibSpUsXa0/C5eFaqqpSVlaGk5OTdYK8oiiYzWaysrLw8/PDzs7OGqOPjw9BQUHUqVMHs9lsLYHr5eWFnZ0der0eBwcHcnJy8PPzY/To0fTo0YPy8nIUReGHH35gwIAB6PV64uPjGTZs2G3duKmqislksg63slgsZGVlkZyczAcffMCGDRuYP38+L7/88u3+mf6WioqKmDt3LqtXr6Z3795otVoyMjKYPXs2tWrVkopKd9mFCxeYOnUqHTt2lCIFQgghrmvgwIGUlJTwySef8Mgjj/DMM88wevRoTCYTvr6+1K5du9pik8TnPlNUVGStLnaZqqr88ccfJCUlYTQaadiwIcHBwaSnp2MwGFi8eDHx8fGMHDnSOgzLzs4Og8FAfHw8u3btYuPGjTVi8b/bYbFYOHjwIC1btryiWzUtLY2BAwcyfvx463EWiwUnJycURUGv12Nvb4/BYEBRFMrKynB0dMTGxoYTJ07QokUL6+9Lq9Wi1+uxWCz8/vvvhISEULduXSwWC2azmWPHjnH27FnWrl2LxWKRMeMV8OyzzxIfH8+RI0f48ccfiYyMrLKub3Elg8HA+fPnrYt+Llu2jIkTJ3LhwgVCQkKqOzwhhBA1yPLly9m5cydlZWXWKp5z5syhZcuW1R3aVSTxuQ+oqsrKlSuJiopi0qRJJCUlERAQQPfu3Rk+fDjvvfceTZo0wWg04ufnh06nY+PGjfzwww+0bduWFStW3LNJTU11ObmRBKfi8vPziY2NJTc3F61Wa6389+CDD1K3bt3qDu+eVl5eTnx8PJmZmej1elRVxWKxYGtri8lkQq/Xk5eXZ52Ddvz4cZ544glKSkrIz89Ho9EQGhpKYGBglc/jEkIIcW+5/J2i0WjYtGkT//rXv1BVlQMHDlR3aFeRxOcec+DAAZKTk4mLi8PLywtHR0e2b9/O3r17adiwIY0aNaJp06YMHDiwWrsShfiz/Px8fv31V+vaP9nZ2ezevZsBAwZYt7m7u9OsWTNrpTxxa8xmM4mJiSQmJmIwGDCZTGi1WkpLS60lQgMCArCzs5OEXAghRJU4ePAgbdu2ZfTo0fzf//1fdYdzFUl87gF6vZ7x48ej0WgYOnQozz//PKmpqdSvX5+mTZty8OBBzpw5Q4cOHXB2dub48ePs2bOHOnXqVHfo4j5w+SnO+++/T1JSEt27dycuLo569erh5uaGoih8++23DBgwgIKCAtzc3K6olBcTE2MtUnH8+HGaN29eXZdyXzEYDKSlpbFlyxa8vb1JTU2lW7duNGnSRMp7CyGEqDbjx49n165dxMbGVncoV5HE5y5YvXo1hYWF2NjY0KBBA8aMGcPs2bMpLS21LlC5ZMkShgwZwq+//kpwcDBRUVGEhoYSFxfHkSNH+Pnnn/Hy8uLcuXPk5OSQnZ1NVFQUe/bsITg4mOzsbOrXr893332HyWTi448/ZsKECdV96eI+oaoqr7/+Oh4eHnTr1o2IiAhrWXBR9Y4fP8758+etQyhPnDjBgw8+iK+vL2FhYTL3SQghRI3h7e3NG2+8gcFg4K233rrmw7gZM2YQHBzMsGHDUBQFg8FwV+4rJPG5C4YPH86AAQPo2rUr0dHRtGrVCj8/v6uO++STT9i+fTseHh4EBgby8MMPc+LECVRVJS0tjV69erFu3TrWr18PQL9+/Th+/DhRUVG8+OKLLFy4kN27d3PhwgX27t2Lp6fn3b5UcQ+6PJdm0aJFdOrUiTp16tzww+fEiRNs3LiRhg0bXlWDf+vWrUydOpWAgICqDvuuSE9PJz8/n/DwcMrKysjIyMBsNuPg4ICLi0uVvscKCgp444036NatG/Xq1SM8PFwq2QkhhLhnfPrpp4wdO5bExEQaNGhg3b5s2TJGjBhB27ZtqV27Nqqq4unpiV6vJywsjHfeeafKYpLEp4qVl5cza9YsGjRogJeXFy1btmTbtm00adIERVH48ccfCQsLQ6vVEh4efsNhQHFxcWRmZhIcHEzDhg3veOFN8fezePFi9u/fz5tvvmn9EPr666/ZsWOHNeFJTk7GbDYTEBBAUFAQPj4+1rLjl5MkuFTyHC71RsTFxdG6dWt69epFmzZtqu36KlNubi59+/YlKioKf39/HBwcCAkJwdbWlrKyMlJSUoBLiaPRaMTOzo6OHTteUVHxdmzcuJGFCxcyfvx4EhISmDhxYmVcjhBCCHFXmc1mRo8ezZIlS9i4cSPffvstYWFh2NraUlpaSk5ODnl5eSxatOiujVyQxOc2GQwG68qyf15b5kZKS0uJi4sjLS2Nn376iTZt2rB3715sbW0pLy9nzJgxshK9qFIzZszg3XffxdfXl48//hitVktQUBDNmzfHxcXFetzl+SMZGRlkZ2ezevVq5s2bZ+2pNJvN7Nq1i4iIiAr3ephMJuLj40lNTaW0tBSz2cyZM2dYsmQJr7/+OmPHjq2Sa75Ver2ejz76CD8/P/r06YOPj891jy0vL2f//v0UFxdTUlLCli1bWLZs2W2fe8SIEYwaNYp27dpJAQIhhBD3DFVVeffdd/Hz82Ps2LGYzWaMRiOxsbGsXr2anJwcgoOD2bhxIyEhIfj5+aHRaHj++ef5xz/+cdfirLLER1GUB4DPAQfABIxRVfXA//a9DYwEzMA4VVW33qy9mpL4REdHs379eurVq8cDDzxAYWEhRqMRvV6PXq+na9eu1K1b94Y3LXl5eezfvx+dTkd5eTlOTk74+/vj7OyMk5MTRqORsrIy9u/fT8+ePaWUr6hUhw8fJikpiVOnTtGsWTMKCwvx8/PDaDRaS3BfXlz28mdAaGgoTZs2tbbxySefUKdOHfr373/d82RkZLB7925rdbHLJZETEhIwGAycOHGCyMhIevToUeXXfCuioqLo3r07I0aMuOmxZ8+e5euvvyYiIgIbGxuSk5NxdXVl2LBht3xeo9HIN998g16v5+zZs4SHh+Pq6oq3tzePPPKIdaFfuJRw5eTkkJGRwfHjx7Gzs+PZZ5+95XMKIYQQd0JVVdatW8fSpUv5/fff8fPzo23bttStW9c6SqJp06a0bdvWWsXVYrFw5MgRVFUlIiLirhbkqcrEZxvwsaqqPyuK0gt4Q1XVjoqihAHfAG2BAGAHEKqqqvlG7dWUxGfGjBmEhYWhqioNGjQgNDTU+qTcbDYTGxtLfHw8iqJQUFBQoafYFouF3NxcSktLKSsro6ioiP379zNhwgRefvllOnfujEajwc/PDz8/P5ydnfHy8pKhbqJSnDlzhsjISMaMGcPp06cZOHDgNY9TVRWz2cxvv/3G22+/fc15apelp6czadIkVqxYgY2NDaqq4u3tzSuvvMLo0aMJCgqyJlVPPPEEw4YNo3nz5nh4eNywh+WvLBZLpb8POnXqxMsvv8xTTz11y69VVZXBgwfzzDPP0Ldv31t67fPPP8/Ro0eJjIzEzc2NsrIysrOzyc3NxcPDg1atWqHT6UhJSaFWrVo0adKEtm3b0qJFC/R6PUuWLKlQsiaEEEJUhm+//RY7Ozv69evHqlWriIqKqpLv5cpUlYnPVmCJqqprFEWJAvqoqvrM/3p7UFX1/T8d956qqntv1F5NSXwu27VrFy+88AKTJk3C09MTGxubK56UX14EMCgoiOHDh1/1elVVCQsLo6CggNatW1NaWkqHDh3473//y5dffsmTTz55xfEmk4kjR46Qnp7ON998w9q1a637fH19WbBgAQMGDKjqyxb3saKiIuzs7EhJSWHdunU88MADeHp6Ymdnh06no6CggPz8fOLj45k6depVhQ3+6uDBg6SlpVkTn1q1avHII49YPxCzs7NZv349//nPfzh79qz1dQaD4boL6paVlfHyyy9Tr149nJ2dmT9/PufPn+d2PqtMJhMajYaMjAxyc3M5dOgQqqoSFBREly5dbusJ1KeffkphYSFarZbXX3/9ll9/MwsXLmTx4sUcPXqUXr16sXnzZuu+2bNn07hxY2vvs8lkws7ODnt7eywWi7XnzWAwsG/fPuLj42natCl6vR6j0cjSpUsrPV4hhBD3J7PZfMX35HPPPcfTTz9Nz549qzGqm6vKxKcpsBVQABugnaqqFxRFWQDsU1X16/8dtxj4WVXV767RxmhgNEBISEirCxcu3HY8NV16ejqOjo7XnC9x6NAh64TxefPmUbduXdLS0lAUBRcXF7p06SKLlYpKYzAYOHbsGImJieTn52MwGNBoNPj7++Pu7s68efN49NFHefrpp2nYsOEdny83N5eRI0eSmZnJU089RZMmTawPDzQaDVqtFpPJhNFopLCwkJkzZ7Jy5Upat25NSUkJrq6uzJw5k8mTJ1fofImJiaxevZqysjIeeOABvvvuO9566y0iIiIqHLPJZOLixYskJyeTnp5uHRZ4ucpiaGjo7f46rqm4uJhz587h5uZGamoq+fn5REdH8+OPP9KiRQtatmyJn58fwcHBODg44ODggI2NDQaDAb1eT25uLoGBgdYiDLm5ufj5+dGqVSvs7e1l3R8hhBA3paoqkyZNIi0tDWdnZ4xGIzY2Npw+fZpx48YxePDg6g7xpu4o8VEUZQfgf41dU4AuwC5VVb9XFGUgMFpV1a6KoiwE9v4l8dmsqur3NzpXTevxudtUVWX79u0sX76cVatWWbePHz+efv360bFjx+oLTvztNGrUiMTERN555x0iIiLQ6XS4u7sTEhLCV199Rbt27TAajZhMJhwcHFiyZAnz5s0jICCArKws7O3tqV27tnUunE6n4/jx42RkZABgY2NDUlIS/v6XPl6OHj3Kww8/jL29Pc7OzgQEBFBWVsbmzZv5+OOPSUlJqVD9f4PBQP369fnkk0+sRUlsbGywWCxXHKeqKqdOnSIsLMwa458/D21tbfHy8iI4OJjatWtXuFs/JSUFR0dHEhMTiY2NxcHBgUceeYTExERatWrF2bNn2bdvH4cPH6Zz587WYX/FxcWcPXuWp556isDAQGrVqkV5eTmlpaUUFhZeUSZUCCGEqCrl5eWUlZXh4uJyVXGvrKwsfH19qymyiqnKHp9CwENVVVW5dOdQqKqq2/0w1G3FihXY29tfcaN1+UauTp06fPXVVxw/fhzgikniiqKQmJhI8+bNcXBwwNnZmcDAQOtcicvH/fkm6vLr/spkMuHu7k5QUBD169e/7tAgIarKn8s4w6VqaGlpabi4uFz1wVdYWEhiYiI5OTn4+vry4YcfEhYWRnh4uPXfeP369albty7u7u7XPafRaCQ1NZWysjLs7e2pW7fuFZP+b+ca/vqeq0xnz54lJiaGpKQkzGYze/fu5dVXXyUiIgJ/f38KCgqIiYmhuLgYrVZLq1atCAkJuekwQiGEEKIm6NWrFz///DNwaQj7rczTrQ5VmfjEAy+pqvqroihdgDmqqrZSFCUcWMX/L24QDTS6V4obAOzfv5+zZ8/i6uoKXEpu9Ho9qamp7N27l+nTp1srYM2aNYvu3bsTFhbG2LFjWbx4MYWFhaiqSklJCWlpacTFxbFz505KS0v54YcfpIyt+Nsxm82cPHmSAQMGXDHf57KRI0dSUlLC888/T5cuXe5KTKqqUlRURHFxMaqq4u7ubn3gcTnxulbClJOTY51Dk5WVxYcffijvaSGEEPclo9FIUVERw4cPJzc3l8GDBzN58mSmTp3K66+/XuMezFdl4tMemAfYAuVcKmd9+H/7pgDPcanM9QRVVX++WXs1KfG5FampqSxYsIDdu3eze/fua94oLV26lJiYGLp164arqystW7YkKCioGqIVovooikLt2rXp1asXvXv3xt7enszMTBwcHLC1tcXGxgZbW1vy8vLIysrixIkTLFmypMK9I0VFRRw/fpxhw4YxefJk3N3drfOHbGxssLGxwWg0otForL1ILi4uuLq6otfrKSkpYfLkyUycOJG4uDh2795NTEyMte358+fTqlUrhg8fzpkzZ3Bzc6uy35UQQghRU6iqSnZ2NoWFheTk5HDkyBHGjRtHkyZN8Pb2Ztu2beTl5eHj41PhtS+ryn27gOm5c+fQ6/U0bNjQ+ktWVZWysjKcnJzuKBaTyURZWRlarfaOh6QUFRVx5swZLl68SHl5OQaDgZ07dxIaGsqrr756R20LcS8pKCjAZDJx7Ngx6xjili1bYjQayc/P5/XXX+eFF16gXr16+Pn50aBBg+s+SSosLOTkyZOkpKSQmpqKp6cnWVlZDB06FD8/vzv64C0rK2PIkCF07NgRFxcX3NzcsLe3Jy8vj/bt21O/fv3bblsIIYS416xevZrDhw/j5eWFt7e39eHhRx99xMyZM3FwcMDJyYmNGzdy4sQJRo0aRW5uLq1bt6ZJkyY4OzvftVjv28TnzJkzrFq1isuV4EwmEyaTiW3btqHRaKw3TwaDAR8fHwIDA61/CJ1Oh8ViwdbWlpKSEgAcHBwICgqiSZMm7N+/n0GDBllL8xYWFtKtWzdeeeWVa8by3nvvkZqaisViwWw2W9cHSU5OJi0tjTFjxuDt7Y2jo+Md/paEuH+lpaXRp08funTpwp49e/j999+v2h8TE0NhYSFBQUG0atUKX19fGWYmhBBC1DAZGRmMHj2aTZs2MWjQILZu3cqoUaOYO3dulZ73vk18rsVkMrFr1y5Wr15Nt27dSElJYd68eZhMJoqLi+nZsyf9+/enRYsW1qFmLi4umEwmDAYDL730Es2bN8fd3Z1atWpRVFTE6dOnqVevHgEBAcD/L2agKAomk4msrCxrWxcuXKB58+ZSgU2I23T+/Hn+/e9/U1RUxNNPP429vT06nQ6NRoO3tzeRkZFSmlkIIYS4B2RmZrJ//342b95MdnY2Tz/9NKdOnSI4OJiSkhL8/f0ZOXIkAwYMIDw8nM6dO2NnZ0dISIh1Dc1b9bdKfG5EVVUuXrxInz59SE1N5dlnn6VNmzaUl5eTkZFBYWEh06dPp3///mzatIns7Gw8PDyqLB4hhBBCCCEEHDlyBH9/fwwGA8899xzt27cnIiICGxsbpk+fzpQpU9BqtVgsFiwWCwUFBdSpU8e6Zp+rqyvu7u73TuJTt25ddd68eVgsFnQ6HcXFxfj6+qLRaCgtLWXSpEm8++67XLx4kfr161uHjV2+hr+WlXZ0dMTJyQlHR0ecnZ2ti/55eXlZ5w3o9Xpee+01SktL/1979xYaRxmGcfx5qtvSioJiPWA8VFgvIgFBCYIoCsXTTVQQLAUtCh4w7bXihaI3IoigVMWCqBcq3qit1jNFb6TG1GJbbbAHD7XF9HDR0qab1r5ezGxc40yTVJM59P+DZXe/2V1eeJiZvJmZb7Rnzx7t3r1ba9euHatpyZIlWrZsmebNm6c5c+Zo7ty5ajQamXObAwAAAJgZ+/fv1+bNmzVr1iwNDw9r+fLlWr16dTUan2azGVnT3J6IiNDhw4d16NAhjYyMjD23Wi0NDg5q3759Y/cXGX+PkHbjdPDgQa1bt05dXV1jd0cfGRnRkSNHdODAAY2OjqrRaKjZbGpoaEgLFy7UihUrtGbNGnV3d2vDhg1jvwcAAABg+gwMDKi3tze38antifLtIz5Zkwn09vZO+ncWLVp03OWjo6MaGhrS3r171Wg0tHTpUvX19Y1NgrB48WIdO3Zs2m6eCAAAAEATTnZU28ZnpsyePVs9PT3q6en5x3h/f39BFQEAAAAYj8MQAAAAACpvoiM+ND4AAAAAao/GBwAAAEDt0fgAAAAAqD0aHwAAAAC1R+MDAAAAoPZofAAAAADUHo0PAAAAgNor1Q1MW62WVq1aVXQZAAAAACpm+/btx13uiJihUiZme7ekX4quowTOlrSn6CIwJWRWTeRWPWRWTeRWPWRWPWSWuDgi5mctKFXjg4TtbyPiqqLrwOSRWTWRW/WQWTWRW/WQWfWQ2cS4xgcAAABA7dH4AAAAAKg9Gp9yeqXoAjBlZFZN5FY9ZFZN5FY9ZFY9ZDYBrvEBAAAAUHsc8QEAAABQezQ+AAAAAGqPxqdAtu+0vcn2MdtXdYxfYnvE9vr08XLHsittb7C9xfbztl1M9SevvNzSZY+m2QzZvqljnNxKwvYTtn/vWL9u7ViWmR/KwfbNaTZbbD9SdD3IZvvndHu33va36dhZtj+z/VP6fGbRdZ7MbL9qe9j2xo6x3IzYNpZDTm7s06aAxqdYGyXdIemrjGVbI+KK9PFgx/hLku6X1EwfN09/mRgnMzfb3ZLuknS5klxetH1KupjcyuW5jvVrtTRhfihYmsVySbdI6pa0KM0M5XRDun61/zn0iKQvIqIp6Yv0PYrzmv69H8rMiG1jqbym7L8f2KdNEo1PgSLix4gYmuznbZ8v6YyI+DqSWSnekHTbtBWITMfJrU/S2xHRiojtkrZI6iW3ysjMr+Ca8LdeSVsiYltEjEp6W0lmqIY+Sa+nr18X28BCRcRXkvaNG87LiG1jSeTklofcMtD4lNcC29/Z/tL2tenYBZJ2dHxmRzqGcrhA0m8d79v5kFv59Nv+Pj1toH06R15+KAfyqY6Q9KntQdv3p2PnRsQuSUqfzymsOuTJy4h1r/zYp03SqUUXUHe2P5d0XsaixyLi/Zyv7ZJ0UUTstX2lpPdsXy4p67oQ5iOfBieYW14+5DbDjpefktMOn1KSwVOSnpV0r8ip7MinOq6JiJ22z5H0me3NRReE/4R1r9zYp00Bjc80i4iFJ/CdlqRW+nrQ9lZJlynp1rs6Ptolaef/USf+6URyU5LPhR3v2/mQ2wybbH62V0j6IH2blx/KgXwqIiJ2ps/Dtt9VcnrNH7bPj4hd6em/w4UWiSx5GbHulVhE/NF+zT5tYpzqVkK257cvQLN9qZKL4belh54P2L46nRXsbkl5Rx8w81ZKusv2HNsLlOT2DbmVS7pDb7tdyWQVUk5+M10fcg1IatpeYHu2kot2VxZcE8axfZrt09uvJd2oZB1bKeme9GP3iG1gGeVlxLaxxNinTQ1HfApk+3ZJL0iaL+lD2+sj4iZJ10l60vZRSX9KejCtFdZjAAAAx0lEQVQi2hezPaRkVo+5kj5KH5hBeblFxCbb70j6QdJRSQ9HxJ/p18itPJ6xfYWSQ/4/S3pAkibIDwWLiKO2+yV9IukUSa9GxKaCy8K/nSvp3XTG/lMlvRkRH9sekPSO7fsk/SrpzgJrPOnZfkvS9ZLOtr1D0uOSnlZGRmwbyyMnt+vZp02ek0mmAAAAAKC+ONUNAAAAQO3R+AAAAACoPRofAAAAALVH4wMAAACg9mh8AAAAANQejQ8AAACA2qPxAQAAAFB7fwFJVdZ4/ig13gAAAABJRU5ErkJggg==\n", + "image/png": 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", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1, figsize=(19, 7))\n", "nessy.shapefile.plot(ax=ax, facecolor='blue', edgecolor='blue')\n", - "countries = gpd.read_file('/esarchive/shapefiles/gadm_country_mask/gadm_country_ISO3166.shp')\n", + "countries = gpd.read_file('/gpfs/projects/bsc32/models/NES_tutorial_data/gadm_country_mask/gadm_country_ISO3166.shp')\n", "countries.plot(ax=ax, facecolor='none', edgecolor='black', linewidth=0.3)\n", "ax.margins(0)" ] @@ -331,10 +332,10 @@ "name": "stderr", "output_type": "stream", "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3058: UserWarning: No vertical level has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3069: UserWarning: No time has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n" + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3805: UserWarning: No vertical level has been specified. The first one will be selected.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3816: UserWarning: No time has been specified. The first one will be selected.\n", + " warn(msg)\n" ] } ], @@ -345,7 +346,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -359,7 +360,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" } }, "nbformat": 4, diff --git a/tutorials/2.Creation/2.7.Create_Mercator.ipynb b/tutorials/2.Creation/2.7.Create_Mercator.ipynb index df5c29b1e5c0e7bb223e9a3e7122b1eaa37a0348..35e0ff936a8885b98ff62f7218ed338ed5bf4161 100644 --- a/tutorials/2.Creation/2.7.Create_Mercator.ipynb +++ b/tutorials/2.Creation/2.7.Create_Mercator.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import geopandas as gpd" @@ -65,9 +65,9 @@ "metadata": {}, "outputs": [], "source": [ - "nessy = create_nes(comm=None, info=False, projection=projection,\n", - " lat_ts=lat_ts, lon_0=lon_0, nx=nx, ny=ny, \n", - " inc_x=inc_x, inc_y=inc_y, x_0=x_0, y_0=y_0)" + "nessy = nes.create_nes(comm=None, info=False, projection=projection,\n", + " lat_ts=lat_ts, lon_0=lon_0, nx=nx, ny=ny, \n", + " inc_x=inc_x, inc_y=inc_y, x_0=x_0, y_0=y_0)" ] }, { @@ -85,7 +85,10 @@ { "data": { "text/plain": [ - "Proj('+proj=merc +lat_ts=-1.5 +lon_0=-18 +x_0=0 +y_0=0 +a=6378137 +b=6356752.3142 +units=m +no_defs', preserve_units=True)" + "\n", + "Description: PROJ-based coordinate operation\n", + "Area of Use:\n", + "- undefined" ] }, "execution_count": 5, @@ -172,11 +175,11 @@ " \n", " \n", " 1\n", - " POLYGON ((-18.68311 -43.82824, -18.23380 -43.8...\n", + " POLYGON ((-18.68311 -43.82824, -18.2338 -43.82...\n", " \n", " \n", " 2\n", - " POLYGON ((-18.23380 -43.82824, -17.78449 -43.8...\n", + " POLYGON ((-18.2338 -43.82824, -17.78449 -43.82...\n", " \n", " \n", " 3\n", @@ -208,7 +211,7 @@ " \n", " \n", " 49559\n", - " POLYGON ((74.77349 49.59982, 75.22280 49.59982...\n", + " POLYGON ((74.77349 49.59982, 75.2228 49.59982,...\n", " \n", " \n", "\n", @@ -219,8 +222,8 @@ " geometry\n", "FID \n", "0 POLYGON ((-19.13242 -43.82824, -18.68311 -43.8...\n", - "1 POLYGON ((-18.68311 -43.82824, -18.23380 -43.8...\n", - "2 POLYGON ((-18.23380 -43.82824, -17.78449 -43.8...\n", + "1 POLYGON ((-18.68311 -43.82824, -18.2338 -43.82...\n", + "2 POLYGON ((-18.2338 -43.82824, -17.78449 -43.82...\n", "3 POLYGON ((-17.78449 -43.82824, -17.33518 -43.8...\n", "4 POLYGON ((-17.33518 -43.82824, -16.88587 -43.8...\n", "... ...\n", @@ -228,7 +231,7 @@ "49556 POLYGON ((73.42556 49.59982, 73.87487 49.59982...\n", "49557 POLYGON ((73.87487 49.59982, 74.32418 49.59982...\n", "49558 POLYGON ((74.32418 49.59982, 74.77349 49.59982...\n", - "49559 POLYGON ((74.77349 49.59982, 75.22280 49.59982...\n", + "49559 POLYGON ((74.77349 49.59982, 75.2228 49.59982,...\n", "\n", "[49560 rows x 1 columns]" ] @@ -249,21 +252,19 @@ "outputs": [ { "data": { - 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\n", + "image/png": 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", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1, figsize=(19, 7))\n", "nessy.shapefile.plot(ax=ax, facecolor='blue', edgecolor='blue')\n", - "countries = gpd.read_file('/esarchive/shapefiles/gadm_country_mask/gadm_country_ISO3166.shp')\n", + "countries = gpd.read_file('/gpfs/projects/bsc32/models/NES_tutorial_data/gadm_country_mask/gadm_country_ISO3166.shp')\n", "countries.plot(ax=ax, facecolor='none', edgecolor='black', linewidth=0.3)\n", "ax.margins(0)" ] @@ -317,10 +318,10 @@ "name": "stderr", "output_type": "stream", "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3058: UserWarning: No vertical level has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3069: UserWarning: No time has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n" + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3805: UserWarning: No vertical level has been specified. The first one will be selected.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3816: UserWarning: No time has been specified. The first one will be selected.\n", + " warn(msg)\n" ] } ], @@ -331,7 +332,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -345,7 +346,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" } }, "nbformat": 4, diff --git a/tutorials/2.Creation/2.8.Create_Global.ipynb b/tutorials/2.Creation/2.8.Create_Global.ipynb index fbda3b3f50ab4eb515594150a183248b95c1543f..1459e20c2561b3865460d6afa013370ab2f229a2 100644 --- a/tutorials/2.Creation/2.8.Create_Global.ipynb +++ b/tutorials/2.Creation/2.8.Create_Global.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import geopandas as gpd" @@ -59,7 +59,7 @@ "metadata": {}, "outputs": [], "source": [ - "nessy = create_nes(projection=projection, inc_lat=inc_lat, inc_lon=inc_lon)" + "nessy = nes.create_nes(projection=projection, inc_lat=inc_lat, inc_lon=inc_lon)" ] }, { @@ -77,7 +77,10 @@ { "data": { "text/plain": [ - "Proj('+proj=longlat +ellps=WGS84 +no_defs', preserve_units=True)" + "\n", + "Description: PROJ-based coordinate operation\n", + "Area of Use:\n", + "- undefined" ] }, "execution_count": 5, @@ -160,23 +163,23 @@ " \n", " \n", " 0\n", - " POLYGON ((-180.00000 -90.00000, -179.50000 -90...\n", + " POLYGON ((-180 -90, -179.5 -90, -179.5 -89.5, ...\n", " \n", " \n", " 1\n", - " POLYGON ((-179.50000 -90.00000, -179.00000 -90...\n", + " POLYGON ((-179.5 -90, -179 -90, -179 -89.5, -1...\n", " \n", " \n", " 2\n", - " POLYGON ((-179.00000 -90.00000, -178.50000 -90...\n", + " POLYGON ((-179 -90, -178.5 -90, -178.5 -89.5, ...\n", " \n", " \n", " 3\n", - " POLYGON ((-178.50000 -90.00000, -178.00000 -90...\n", + " POLYGON ((-178.5 -90, -178 -90, -178 -89.5, -1...\n", " \n", " \n", " 4\n", - " POLYGON ((-178.00000 -90.00000, -177.50000 -90...\n", + " POLYGON ((-178 -90, -177.5 -90, -177.5 -89.5, ...\n", " \n", " \n", " ...\n", @@ -184,23 +187,23 @@ " \n", " \n", " 259195\n", - " POLYGON ((177.50000 89.50000, 178.00000 89.500...\n", + " POLYGON ((177.5 89.5, 178 89.5, 178 90, 177.5 ...\n", " \n", " \n", " 259196\n", - " POLYGON ((178.00000 89.50000, 178.50000 89.500...\n", + " POLYGON ((178 89.5, 178.5 89.5, 178.5 90, 178 ...\n", " \n", " \n", " 259197\n", - " POLYGON ((178.50000 89.50000, 179.00000 89.500...\n", + " POLYGON ((178.5 89.5, 179 89.5, 179 90, 178.5 ...\n", " \n", " \n", " 259198\n", - " POLYGON ((179.00000 89.50000, 179.50000 89.500...\n", + " POLYGON ((179 89.5, 179.5 89.5, 179.5 90, 179 ...\n", " \n", " \n", " 259199\n", - " POLYGON ((179.50000 89.50000, 180.00000 89.500...\n", + " POLYGON ((179.5 89.5, 180 89.5, 180 90, 179.5 ...\n", " \n", " \n", "\n", @@ -210,17 +213,17 @@ "text/plain": [ " geometry\n", "FID \n", - "0 POLYGON ((-180.00000 -90.00000, -179.50000 -90...\n", - "1 POLYGON ((-179.50000 -90.00000, -179.00000 -90...\n", - "2 POLYGON ((-179.00000 -90.00000, -178.50000 -90...\n", - "3 POLYGON ((-178.50000 -90.00000, -178.00000 -90...\n", - "4 POLYGON ((-178.00000 -90.00000, -177.50000 -90...\n", + "0 POLYGON ((-180 -90, -179.5 -90, -179.5 -89.5, ...\n", + "1 POLYGON ((-179.5 -90, -179 -90, -179 -89.5, -1...\n", + "2 POLYGON ((-179 -90, -178.5 -90, -178.5 -89.5, ...\n", + "3 POLYGON ((-178.5 -90, -178 -90, -178 -89.5, -1...\n", + "4 POLYGON ((-178 -90, -177.5 -90, -177.5 -89.5, ...\n", "... ...\n", - "259195 POLYGON ((177.50000 89.50000, 178.00000 89.500...\n", - "259196 POLYGON ((178.00000 89.50000, 178.50000 89.500...\n", - "259197 POLYGON ((178.50000 89.50000, 179.00000 89.500...\n", - "259198 POLYGON ((179.00000 89.50000, 179.50000 89.500...\n", - "259199 POLYGON ((179.50000 89.50000, 180.00000 89.500...\n", + "259195 POLYGON ((177.5 89.5, 178 89.5, 178 90, 177.5 ...\n", + "259196 POLYGON ((178 89.5, 178.5 89.5, 178.5 90, 178 ...\n", + "259197 POLYGON ((178.5 89.5, 179 89.5, 179 90, 178.5 ...\n", + "259198 POLYGON ((179 89.5, 179.5 89.5, 179.5 90, 179 ...\n", + "259199 POLYGON ((179.5 89.5, 180 89.5, 180 90, 179.5 ...\n", "\n", "[259200 rows x 1 columns]" ] @@ -241,21 +244,19 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1, figsize=(19, 7))\n", "nessy.shapefile.plot(ax=ax, facecolor='blue', edgecolor='blue')\n", - "countries = gpd.read_file('/esarchive/shapefiles/gadm_country_mask/gadm_country_ISO3166.shp')\n", + "countries = gpd.read_file('/gpfs/projects/bsc32/models/NES_tutorial_data/gadm_country_mask/gadm_country_ISO3166.shp')\n", "countries.plot(ax=ax, facecolor='none', edgecolor='black', linewidth=0.3)\n", "ax.margins(0)" ] @@ -309,10 +310,10 @@ "name": "stderr", "output_type": "stream", "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3058: UserWarning: No vertical level has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3069: UserWarning: No time has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n" + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3805: UserWarning: No vertical level has been specified. The first one will be selected.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3816: UserWarning: No time has been specified. The first one will be selected.\n", + " warn(msg)\n" ] } ], @@ -323,7 +324,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -337,7 +338,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" } }, "nbformat": 4, diff --git a/tutorials/2.Creation/2.9.Create_Rotated_Nested.ipynb b/tutorials/2.Creation/2.9.Create_Rotated_Nested.ipynb index c77c991246fbb1fe521e80ef15400066db8cc7d4..028d80ac2ee9b39786c2152e2c6e376ea81c2b27 100644 --- a/tutorials/2.Creation/2.9.Create_Rotated_Nested.ipynb +++ b/tutorials/2.Creation/2.9.Create_Rotated_Nested.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import geopandas as gpd" @@ -56,7 +56,7 @@ "outputs": [], "source": [ "path = '/gpfs/projects/bsc32/models/NES_tutorial_data/O3_all-000_2021080300.nc'\n", - "parent_nessy = open_netcdf(path)" + "parent_nessy = nes.open_netcdf(path)" ] }, { @@ -78,10 +78,10 @@ "j_parent_start = 20\n", "n_rlat = 40\n", "n_rlon = 50\n", - "nessy = create_nes(comm=None, info=False, projection=projection,\n", - " parent_grid_path=path, parent_ratio=parent_ratio,\n", - " i_parent_start=i_parent_start, j_parent_start=j_parent_start,\n", - " n_rlat=n_rlat, n_rlon=n_rlon)" + "nessy = nes.create_nes(comm=None, info=False, projection=projection,\n", + " parent_grid_path=path, parent_ratio=parent_ratio,\n", + " i_parent_start=i_parent_start, j_parent_start=j_parent_start,\n", + " n_rlat=n_rlat, n_rlon=n_rlon)" ] }, { @@ -99,7 +99,10 @@ { "data": { "text/plain": [ - "Proj('+proj=ob_tran +o_proj=longlat +ellps=WGS84 +R=6356752.3142 +o_lat_p=39.0 +o_lon_p=-170.0', preserve_units=True)" + "\n", + "Description: PROJ-based coordinate operation\n", + "Area of Use:\n", + "- undefined" ] }, "execution_count": 5, @@ -119,19 +122,19 @@ { "data": { "text/plain": [ - "{'grid_mapping_name': '',\n", + "{'grid_mapping_name': 'rotated_latitude_longitude',\n", " 'parent_grid_path': '/gpfs/projects/bsc32/models/NES_tutorial_data/O3_all-000_2021080300.nc',\n", " 'parent_ratio': 0.5,\n", " 'i_parent_start': 20,\n", " 'j_parent_start': 20,\n", " 'n_rlat': 40,\n", " 'n_rlon': 50,\n", - " 'inc_rlat': 0.40000152587890625,\n", - " '1st_rlat': -23.200000762939453,\n", - " 'inc_rlon': 0.40000152587890625,\n", - " '1st_rlon': -31.200000762939453,\n", - " 'grid_north_pole_longitude': -170.0,\n", - " 'grid_north_pole_latitude': 39.0}" + " 'inc_rlat': np.float64(0.40000152587890625),\n", + " '1st_rlat': np.float64(-23.200000762939453),\n", + " 'inc_rlon': np.float64(0.40000152587890625),\n", + " '1st_rlon': np.float64(-31.200000762939453),\n", + " 'grid_north_pole_longitude': np.float32(-170.0),\n", + " 'grid_north_pole_latitude': np.float32(39.0)}" ] }, "execution_count": 6, @@ -186,7 +189,7 @@ " \n", " \n", " 0\n", - " POLYGON ((-22.21497 16.22040, -22.05071 16.303...\n", + " POLYGON ((-22.21497 16.2204, -22.05071 16.3030...\n", " \n", " \n", " 1\n", @@ -236,7 +239,7 @@ "text/plain": [ " geometry\n", "FID \n", - "0 POLYGON ((-22.21497 16.22040, -22.05071 16.303...\n", + "0 POLYGON ((-22.21497 16.2204, -22.05071 16.3030...\n", "1 POLYGON ((-22.05071 16.30307, -21.88618 16.385...\n", "2 POLYGON ((-21.88618 16.38536, -21.72137 16.467...\n", "3 POLYGON ((-21.72137 16.46727, -21.55629 16.548...\n", @@ -300,11 +303,11 @@ " \n", " \n", " 1\n", - " POLYGON ((-20.46071 21.18765, -20.10450 21.344...\n", + " POLYGON ((-20.46071 21.18765, -20.1045 21.3444...\n", " \n", " \n", " 2\n", - " POLYGON ((-20.10450 21.34440, -19.74707 21.499...\n", + " POLYGON ((-20.1045 21.3444, -19.74707 21.49948...\n", " \n", " \n", " 3\n", @@ -347,8 +350,8 @@ " geometry\n", "FID \n", "0 POLYGON ((-20.81569 21.02923, -20.46071 21.187...\n", - "1 POLYGON ((-20.46071 21.18765, -20.10450 21.344...\n", - "2 POLYGON ((-20.10450 21.34440, -19.74707 21.499...\n", + "1 POLYGON ((-20.46071 21.18765, -20.1045 21.3444...\n", + "2 POLYGON ((-20.1045 21.3444, -19.74707 21.49948...\n", "3 POLYGON ((-19.74707 21.49948, -19.38842 21.652...\n", "4 POLYGON ((-19.38842 21.65288, -19.02855 21.804...\n", "... ...\n", @@ -377,14 +380,12 @@ "outputs": [ { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -392,7 +393,7 @@ "fig, ax = plt.subplots(1, figsize=(19, 7))\n", "parent_nessy.shapefile.plot(ax=ax, facecolor=\"grey\", edgecolor=\"grey\")\n", "nessy.shapefile.plot(ax=ax, facecolor=\"blue\", edgecolor=\"blue\")\n", - "countries = gpd.read_file('/esarchive/shapefiles/gadm_country_mask/gadm_country_ISO3166.shp')\n", + "countries = gpd.read_file('/gpfs/projects/bsc32/models/NES_tutorial_data/gadm_country_mask/gadm_country_ISO3166.shp')\n", "countries.plot(ax=ax, facecolor=\"none\", edgecolor='black', linewidth=0.3)\n", "ax.margins(0)" ] @@ -446,10 +447,10 @@ "name": "stderr", "output_type": "stream", "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3058: UserWarning: No vertical level has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n", - "/esarchive/scratch/avilanova/software/NES/nes/nc_projections/default_nes.py:3069: UserWarning: No time has been specified. The first one will be selected.\n", - " warnings.warn(msg)\n" + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3805: UserWarning: No vertical level has been specified. The first one will be selected.\n", + " warn(msg)\n", + "/home/bsc/bsc032781/.local/lib/python3.9/site-packages/nes/nc_projections/default_nes.py:3816: UserWarning: No time has been specified. The first one will be selected.\n", + " warn(msg)\n" ] } ], @@ -460,7 +461,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -474,7 +475,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" } }, "nbformat": 4, diff --git a/tutorials/3.Statistics/.3.2.Sum.ipynb b/tutorials/3.Statistics/.3.2.Sum.ipynb index 081acb2b8fbc5e3c94d3c3150386a42b649021aa..058470e699cdd2f949e911f94024e1ca36834d34 100644 --- a/tutorials/3.Statistics/.3.2.Sum.ipynb +++ b/tutorials/3.Statistics/.3.2.Sum.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import numpy as np" ] }, @@ -37,8 +37,8 @@ "inc_lon = 0.2\n", "n_lat = 100\n", "n_lon = 100\n", - "nessy = create_nes(projection=projection, lat_orig=lat_orig, lon_orig=lon_orig, inc_lat=inc_lat, inc_lon=inc_lon,\n", - " n_lat=n_lat, n_lon=n_lon)" + "nessy = nes.create_nes(projection=projection, lat_orig=lat_orig, lon_orig=lon_orig, inc_lat=inc_lat, inc_lon=inc_lon,\n", + " n_lat=n_lat, n_lon=n_lon)" ] }, { diff --git a/tutorials/3.Statistics/3.1.Statistics.ipynb b/tutorials/3.Statistics/3.1.Statistics.ipynb index 1c47ff157e84756cbba48bcadb4c41a8f7cdc65a..d8f200e8ecee05733422789715fa5caebd852685 100644 --- a/tutorials/3.Statistics/3.1.Statistics.ipynb +++ b/tutorials/3.Statistics/3.1.Statistics.ipynb @@ -9,11 +9,11 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "from datetime import datetime, timedelta\n", "import numpy as np\n", "import xarray as xr" @@ -28,38 +28,21 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 587 ms, sys: 65.8 ms, total: 653 ms\n", - "Wall time: 5.16 s\n" - ] - } - ], + "outputs": [], "source": [ "# Original path: /esarchive/exp/monarch/a4dd/original_files/000/2022111512/MONARCH_d01_2022111512.nc\n", "# Rotated grid from MONARCH\n", "cams_file = '/gpfs/projects/bsc32/models/NES_tutorial_data/MONARCH_d01_2022111512.nc'\n", - "%time nessy = open_netcdf(path=cams_file, info=True)" + "%time nessy = nes.open_netcdf(path=cams_file, info=True)" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2022-11-15 12:00:00 37 2022-11-17 00:00:00\n" - ] - } - ], + "outputs": [], "source": [ "print(nessy.time[0], len(nessy.time), nessy.time[-1])" ] @@ -73,27 +56,9 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'O3': {'data': None,\n", - " 'dimensions': ('time', 'lm', 'rlat', 'rlon'),\n", - " 'dtype': dtype('float32'),\n", - " 'long_name': 'TRACERS_044',\n", - " 'units': 'unknown',\n", - " 'standard_name': 'TRACERS_044',\n", - " 'coordinates': 'lon lat',\n", - " 'grid_mapping': 'rotated_pole'}}" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Selecting only one variable and dismiss the rest\n", "nessy.keep_vars('O3')\n", @@ -109,20 +74,9 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Rank 000: Loading O3 var (1/1)\n", - "Rank 000: Loaded O3 var ((37, 24, 271, 351))\n", - "CPU times: user 294 ms, sys: 1.49 s, total: 1.78 s\n", - "Wall time: 8.31 s\n" - ] - } - ], + "outputs": [], "source": [ "# Loading variable data from NetCDF file\n", "%time nessy.load()" @@ -130,40 +84,18 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(37, 24, 271, 351)" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "nessy.variables['O3']['data'].shape" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('time', 'lm', 'rlat', 'rlon')" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "nessy.variables['O3']['dimensions']" ] @@ -177,65 +109,9 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Mean between 2022-11-15 05:00:00 and 2022-11-15 12:00:00 cannot be calculated because data for 2022-11-15 05:00:00 is not available.\n", - "Mean between 2022-11-15 06:00:00 and 2022-11-15 13:00:00 cannot be calculated because data for 2022-11-15 06:00:00 is not available.\n", - "Mean between 2022-11-15 07:00:00 and 2022-11-15 14:00:00 cannot be calculated because data for 2022-11-15 07:00:00 is not available.\n", - "Mean between 2022-11-15 08:00:00 and 2022-11-15 15:00:00 cannot be calculated because data for 2022-11-15 08:00:00 is not available.\n", - "Mean between 2022-11-15 09:00:00 and 2022-11-15 16:00:00 cannot be calculated because data for 2022-11-15 09:00:00 is not available.\n", - "Mean between 2022-11-15 10:00:00 and 2022-11-15 17:00:00 cannot be calculated because data for 2022-11-15 10:00:00 is not available.\n", - "Mean between 2022-11-15 11:00:00 and 2022-11-15 18:00:00 cannot be calculated because data for 2022-11-15 11:00:00 is not available.\n", - "Calculating mean between 2022-11-15 12:00:00 and 2022-11-15 19:00:00.\n", - "Calculating mean between 2022-11-15 13:00:00 and 2022-11-15 20:00:00.\n", - "Calculating mean between 2022-11-15 14:00:00 and 2022-11-15 21:00:00.\n", - "Calculating mean between 2022-11-15 15:00:00 and 2022-11-15 22:00:00.\n", - "Calculating mean between 2022-11-15 16:00:00 and 2022-11-15 23:00:00.\n", - "Calculating mean between 2022-11-15 17:00:00 and 2022-11-16 00:00:00.\n", - "Calculating mean between 2022-11-15 18:00:00 and 2022-11-16 01:00:00.\n", - "Calculating mean between 2022-11-15 19:00:00 and 2022-11-16 02:00:00.\n", - "Calculating mean between 2022-11-15 20:00:00 and 2022-11-16 03:00:00.\n", - "Calculating mean between 2022-11-15 21:00:00 and 2022-11-16 04:00:00.\n", - "Calculating mean between 2022-11-15 22:00:00 and 2022-11-16 05:00:00.\n", - "Calculating mean between 2022-11-15 23:00:00 and 2022-11-16 06:00:00.\n", - "Calculating mean between 2022-11-16 00:00:00 and 2022-11-16 07:00:00.\n", - "Calculating mean between 2022-11-16 01:00:00 and 2022-11-16 08:00:00.\n", - "Calculating mean between 2022-11-16 02:00:00 and 2022-11-16 09:00:00.\n", - "Calculating mean between 2022-11-16 03:00:00 and 2022-11-16 10:00:00.\n", - "Calculating mean between 2022-11-16 04:00:00 and 2022-11-16 11:00:00.\n", - "Calculating mean between 2022-11-16 05:00:00 and 2022-11-16 12:00:00.\n", - "Calculating mean between 2022-11-16 06:00:00 and 2022-11-16 13:00:00.\n", - "Calculating mean between 2022-11-16 07:00:00 and 2022-11-16 14:00:00.\n", - "Calculating mean between 2022-11-16 08:00:00 and 2022-11-16 15:00:00.\n", - "Calculating mean between 2022-11-16 09:00:00 and 2022-11-16 16:00:00.\n", - "Calculating mean between 2022-11-16 10:00:00 and 2022-11-16 17:00:00.\n", - "Calculating mean between 2022-11-16 11:00:00 and 2022-11-16 18:00:00.\n", - "Calculating mean between 2022-11-16 12:00:00 and 2022-11-16 19:00:00.\n", - "Calculating mean between 2022-11-16 13:00:00 and 2022-11-16 20:00:00.\n", - "Calculating mean between 2022-11-16 14:00:00 and 2022-11-16 21:00:00.\n", - "Calculating mean between 2022-11-16 15:00:00 and 2022-11-16 22:00:00.\n", - "Calculating mean between 2022-11-16 16:00:00 and 2022-11-16 23:00:00.\n", - "Calculating mean between 2022-11-16 17:00:00 and 2022-11-17 00:00:00.\n", - "CPU times: user 430 ms, sys: 139 ms, total: 569 ms\n", - "Wall time: 601 ms\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "%time rolling_mean = nessy.rolling_mean(var_list='O3', hours=8)\n", "rolling_mean" @@ -243,542 +119,9 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[[[ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " ...,\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan]],\n", - "\n", - " [[ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., 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0.05424896,\n", - " 0.05461873, 0.05450705],\n", - " [0.02742626, 0.02520877, 0.02296445, ..., 0.05349676,\n", - " 0.05373689, 0.05357135],\n", - " [0.02727422, 0.02282771, 0.02191793, ..., 0.05307287,\n", - " 0.05326071, 0.05301408],\n", - " ...,\n", - " [0.03779193, 0.03748941, 0.0374724 , ..., 0.02280954,\n", - " 0.01927338, 0.02296998],\n", - " [0.0371562 , 0.03717405, 0.03726939, ..., 0.02313424,\n", - " 0.02427122, 0.02759723],\n", - " [0.03661698, 0.03678117, 0.03718687, ..., 0.02934089,\n", - " 0.02708005, 0.02392631]]],\n", - "\n", - "\n", - " [[[1.28435171, 1.29601693, 1.31016409, ..., 1.14027464,\n", - " 1.13592947, 1.13423944],\n", - " [1.29354775, 0.97237307, 0.6523965 , ..., 0.40809566,\n", - " 0.7662639 , 1.13241553],\n", - " [1.30334365, 0.64753121, 0.66974783, ..., 0.37949342,\n", - " 0.38861486, 1.13134599],\n", - " ...,\n", - " [1.85838127, 1.4820354 , 1.45864785, ..., 1.01327562,\n", - " 1.02697802, 2.51408505],\n", - " [2.26595736, 1.77126908, 1.47472823, ..., 1.03661191,\n", - " 1.75501657, 2.36603546],\n", - " [1.8653183 , 1.86235523, 1.85948217, ..., 2.65899658,\n", - " 2.59044123, 2.53250265]],\n", - "\n", - " [[0.79513633, 0.79873043, 0.80405778, ..., 0.66278821,\n", - " 0.66856432, 0.6755361 ],\n", - " [0.80611563, 0.72233909, 0.64305466, ..., 0.39966771,\n", - " 0.53061664, 0.66577685],\n", - " [0.81752461, 0.64145547, 0.66963005, ..., 0.37914807,\n", - " 0.38845772, 0.65578979],\n", - " ...,\n", - " [1.58201897, 1.47326183, 1.45865822, ..., 1.01349425,\n", - " 1.02904475, 1.90076125],\n", - " [1.81569266, 1.57050061, 1.46004212, ..., 1.03797972,\n", - " 1.45670402, 1.82893205],\n", - " [1.54080212, 1.53300631, 1.52692723, ..., 1.96561217,\n", - " 1.93085933, 1.906937 ]],\n", - "\n", - " [[0.58091992, 0.59325665, 0.61224467, ..., 0.36490369,\n", - " 0.36917505, 0.37052628],\n", - " [0.6010738 , 0.61771876, 0.63941425, ..., 0.39652291,\n", - " 0.37925759, 0.36956057],\n", - " [0.6244573 , 0.63713026, 0.67028266, ..., 0.37903333,\n", - " 0.38177174, 0.36898488],\n", - " ...,\n", - " [1.47460616, 1.4671011 , 1.45822811, ..., 1.01381707,\n", - " 1.02508008, 1.33224428],\n", - " [1.48315442, 1.46663094, 1.45555806, ..., 1.03329754,\n", - " 1.22145164, 1.48864162],\n", - " [1.46740782, 1.46071029, 1.454193 , ..., 1.35791504,\n", - " 1.33878648, 1.32896316]],\n", - "\n", - " ...,\n", - "\n", - " [[0.02860847, 0.0287193 , 0.02884021, ..., 0.0552229 ,\n", - " 0.05554568, 0.05520093],\n", - " [0.02848911, 0.03115404, 0.03371878, ..., 0.05465074,\n", - " 0.05482761, 0.05481327],\n", - " [0.02834649, 0.03368897, 0.03429044, ..., 0.0543161 ,\n", - " 0.05430075, 0.05435163],\n", - " ...,\n", - " [0.03811692, 0.03754768, 0.03750984, ..., 0.02515605,\n", - " 0.02067216, 0.02160575],\n", - " [0.03769255, 0.03745845, 0.03737439, ..., 0.02493761,\n", - " 0.02454149, 0.02719282],\n", - " [0.03746 , 0.0372192 , 0.03730713, ..., 0.02784498,\n", - " 0.02536339, 0.02306198]],\n", - "\n", - " [[0.0275538 , 0.02747322, 0.02750878, ..., 0.05358512,\n", - " 0.05404793, 0.05419671],\n", - " [0.02730396, 0.02819499, 0.02919991, ..., 0.05339658,\n", - " 0.05358685, 0.05364329],\n", - " [0.02712804, 0.02880288, 0.02864067, ..., 0.05316434,\n", - " 0.05325959, 0.05311146],\n", - " ...,\n", - " [0.03785873, 0.03741212, 0.03745075, ..., 0.0249369 ,\n", - " 0.02145594, 0.02418734],\n", - " [0.03738395, 0.03726116, 0.03728982, ..., 0.02512565,\n", - " 0.02582127, 0.02848102],\n", - " [0.03694052, 0.03695876, 0.03726244, ..., 0.03053271,\n", - " 0.02822248, 0.02540855]],\n", - "\n", - " [[0.02740881, 0.02733335, 0.02737304, ..., 0.05426568,\n", - " 0.05466345, 0.05454525],\n", - " [0.02715266, 0.0250837 , 0.02297565, ..., 0.05338996,\n", - " 0.05366699, 0.05356648],\n", - " [0.02697729, 0.02287315, 0.02194677, ..., 0.05279499,\n", - " 0.0530481 , 0.05285586],\n", - " ...,\n", - " [0.03751946, 0.03728687, 0.03735632, ..., 0.02467575,\n", - " 0.0208389 , 0.02443987],\n", - " [0.03695789, 0.03698442, 0.037166 , ..., 0.02499765,\n", - " 0.02568879, 0.0282693 ],\n", - " [0.03618747, 0.03652691, 0.03711196, ..., 0.0307685 ,\n", - " 0.02864933, 0.02546946]]],\n", - "\n", - "\n", - " [[[1.2784425 , 1.28968489, 1.30331826, ..., 1.14892197,\n", - " 1.14310455, 1.13998997],\n", - " [1.28755128, 0.9670974 , 0.64775342, ..., 0.40460929,\n", - " 0.76864052, 1.13861692],\n", - " [1.29760277, 0.64339983, 0.66343421, ..., 0.37954411,\n", - " 0.38823134, 1.13792968],\n", - " ...,\n", - " [1.84874153, 1.46730876, 1.44175804, ..., 1.0060811 ,\n", - " 1.02113175, 2.6076138 ],\n", - " [2.25086474, 1.75897384, 1.45653439, ..., 1.01833165,\n", - " 1.79458797, 2.46382499],\n", - " [1.86417711, 1.86118674, 1.85844862, ..., 2.73344302,\n", - " 2.67506385, 2.62382388]],\n", - "\n", - " [[0.78241956, 0.78631049, 0.79192829, ..., 0.66846818,\n", - " 0.67414564, 0.68106425],\n", - " [0.79447496, 0.71404868, 0.63824832, ..., 0.39613977,\n", - " 0.5325864 , 0.67192936],\n", - " [0.80679786, 0.63716078, 0.66327852, ..., 0.37925392,\n", - " 0.38813069, 0.66272527],\n", - " ...,\n", - " [1.54232883, 1.45780337, 1.44177127, ..., 1.00624597,\n", - " 1.02395809, 1.9991318 ],\n", - " [1.78523362, 1.54450393, 1.44029748, ..., 1.02063692,\n", - " 1.50061035, 1.92890441],\n", - " [1.50327563, 1.494681 , 1.4881624 , ..., 2.06289625,\n", - " 2.02894211, 2.00303626]],\n", - "\n", - " [[0.5823397 , 0.59453583, 0.61269087, ..., 0.36513683,\n", - " 0.36922416, 0.37030086],\n", - " [0.60236412, 0.61610925, 0.63465577, ..., 0.39253685,\n", - " 0.37808377, 0.36943576],\n", - " [0.62542266, 0.6328811 , 0.66394663, ..., 0.37916636,\n", - " 0.38113832, 0.36904883],\n", - " ...,\n", - " [1.46498203, 1.45243585, 1.44134736, ..., 1.00675941,\n", - " 1.01872575, 1.40820503],\n", - " [1.46918988, 1.45036054, 1.43679214, ..., 1.01451838,\n", - " 1.25147033, 1.55820394],\n", - " [1.45194185, 1.44302392, 1.43449628, ..., 1.43378806,\n", - " 1.41443276, 1.40175247]],\n", - "\n", - " ...,\n", - "\n", - " [[0.02856354, 0.02871947, 0.02887096, ..., 0.05541828,\n", - " 0.05572167, 0.05534676],\n", - " [0.02841754, 0.03108655, 0.03364924, ..., 0.05472515,\n", - " 0.0548855 , 0.05482206],\n", - " [0.02823411, 0.03355997, 0.03417809, ..., 0.05430691,\n", - " 0.05427311, 0.05420008],\n", - " ...,\n", - " [0.03792448, 0.03738475, 0.03744894, ..., 0.02625389,\n", - " 0.02209541, 0.02293119],\n", - " [0.03757517, 0.03734322, 0.03733462, ..., 0.02610129,\n", - " 0.02569483, 0.02796202],\n", - " [0.03720658, 0.03707833, 0.0372971 , ..., 0.02889115,\n", - " 0.02662059, 0.0243883 ]],\n", - "\n", - " [[0.02727165, 0.02715584, 0.02720465, ..., 0.05377459,\n", - " 0.05423334, 0.05433375],\n", - " [0.0269985 , 0.02795687, 0.029016 , ..., 0.05340878,\n", - " 0.05363261, 0.05371693],\n", - " [0.02679438, 0.02865714, 0.02840276, ..., 0.05302648,\n", - " 0.05317137, 0.05304215],\n", - " ...,\n", - " [0.03763931, 0.03724349, 0.03738036, ..., 0.02637897,\n", - " 0.02298057, 0.0255764 ],\n", - " [0.03720314, 0.03711754, 0.03723446, ..., 0.02659015,\n", - " 0.02706061, 0.02925287],\n", - " [0.03662533, 0.03678911, 0.03724252, ..., 0.03148227,\n", - " 0.02941887, 0.02681732]],\n", - "\n", - " [[0.02712696, 0.02701419, 0.02706402, ..., 0.05436107,\n", - " 0.05476492, 0.05462555],\n", - " [0.02684733, 0.02489376, 0.02289154, ..., 0.05340138,\n", - " 0.05368813, 0.05363015],\n", - " [0.02664465, 0.02282199, 0.02188679, ..., 0.05264946,\n", - " 0.05295609, 0.05278934],\n", - " ...,\n", - " [0.03728744, 0.03711296, 0.03728106, ..., 0.02617371,\n", - " 0.02229152, 0.02590632],\n", - " [0.03671798, 0.0368133 , 0.03710368, ..., 0.02649892,\n", - " 0.02695179, 0.02914437],\n", - " [0.03579334, 0.03631859, 0.03708439, ..., 0.03173029,\n", - " 0.02987235, 0.02694446]]]])" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Observe the NaNs that appeared when data was not available\n", "rolling_mean.variables['O3']['data']" @@ -786,40 +129,18 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(37, 24, 271, 351)" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "rolling_mean.variables['O3']['data'].shape" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('time', 'lm', 'rlat', 'rlon')" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "rolling_mean.variables['O3']['dimensions']" ] @@ -833,78 +154,36 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 58.6 ms, sys: 5.01 ms, total: 63.6 ms\n", - "Wall time: 63 ms\n" - ] - } - ], + "outputs": [], "source": [ "%time nessy.daily_statistic(op=\"mean\")" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(2, 24, 271, 351)" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "nessy.variables['O3']['data'].shape" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('time', 'lm', 'rlat', 'rlon')" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "nessy.variables['O3']['dimensions']" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'time: mean (interval: 1hr)'" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# See metadata\n", "nessy.variables['O3']['cell_methods']" @@ -912,20 +191,9 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[datetime.datetime(2022, 11, 15, 0, 0), datetime.datetime(2022, 11, 16, 0, 0)]" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# See time\n", "nessy.time" @@ -933,23 +201,9 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[[datetime.datetime(2022, 11, 15, 12, 0),\n", - " datetime.datetime(2022, 11, 15, 23, 0)],\n", - " [datetime.datetime(2022, 11, 16, 0, 0),\n", - " datetime.datetime(2022, 11, 16, 23, 0)]]" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# See bounds\n", "nessy.time_bnds" @@ -958,7 +212,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -972,7 +226,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" } }, "nbformat": 4, diff --git a/tutorials/4.Interpolation/.4.4.Providentia_Interpolation.ipynb b/tutorials/4.Interpolation/.4.4.Providentia_Interpolation.ipynb index 1e1bfc1aa33069f817dc6ccab544749b4fe65041..8e8673250e4a8c097b77bb3cc9292a50093c24ae 100644 --- a/tutorials/4.Interpolation/.4.4.Providentia_Interpolation.ipynb +++ b/tutorials/4.Interpolation/.4.4.Providentia_Interpolation.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *" + "import nes" ] }, { @@ -51,7 +51,7 @@ } ], "source": [ - "source_grid = open_netcdf(path=source_path, info=True)\n", + "source_grid = nes.open_netcdf(path=source_path, info=True)\n", "source_grid" ] }, @@ -391,7 +391,7 @@ "# Original path: /gpfs/projects/bsc32/AC_cache/obs/ghost/EBAS/1.3.3/hourly/sconco3/sconco3_201804.nc\n", "# Points grid from EBAS network\n", "dst_grid_path = '/gpfs/projects/bsc32/models/NES_tutorial_data/obs_sconco3_201804.nc'\n", - "dst_grid = open_netcdf(path=dst_grid_path, info=True)\n", + "dst_grid = nes.open_netcdf(path=dst_grid_path, info=True)\n", "dst_grid" ] }, diff --git a/tutorials/4.Interpolation/.4.5.NES_vs_Providentia_Interpolation.ipynb b/tutorials/4.Interpolation/.4.5.NES_vs_Providentia_Interpolation.ipynb index d43b5c989aa625b70d4816e433ca63778a41bb9a..905902dcfb7c6a17d53d876d0feb9376382a7544 100644 --- a/tutorials/4.Interpolation/.4.5.NES_vs_Providentia_Interpolation.ipynb +++ b/tutorials/4.Interpolation/.4.5.NES_vs_Providentia_Interpolation.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import geopandas as gpd\n", "import matplotlib.pyplot as plt\n", "import copy" @@ -70,7 +70,7 @@ } ], "source": [ - "data_model = open_netcdf(path=path_0, info=True)\n", + "data_model = nes.open_netcdf(path=path_0, info=True)\n", "data_model" ] }, @@ -312,7 +312,7 @@ } ], "source": [ - "data_obs = open_netcdf(path=path_obs, info=True)\n", + "data_obs = nes.open_netcdf(path=path_obs, info=True)\n", "data_obs" ] }, @@ -517,7 +517,7 @@ } ], "source": [ - "data_prv_before = open_netcdf(path=path_prv_before, info=True)\n", + "data_prv_before = nes.open_netcdf(path=path_prv_before, info=True)\n", "data_prv_before" ] }, @@ -760,7 +760,7 @@ } ], "source": [ - "data_prv_after = open_netcdf(path=path_prv_after, info=True)\n", + "data_prv_after = nes.open_netcdf(path=path_prv_after, info=True)\n", "data_prv_after" ] }, diff --git a/tutorials/4.Interpolation/4.1.1.Vertical_Interpolation.ipynb b/tutorials/4.Interpolation/4.1.1.Vertical_Interpolation.ipynb index 8c89bf9def4795667aaad464ef12dcd0de85297f..b4385802a7ba906901aabe9bad3e75a5046131c0 100644 --- a/tutorials/4.Interpolation/4.1.1.Vertical_Interpolation.ipynb +++ b/tutorials/4.Interpolation/4.1.1.Vertical_Interpolation.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import matplotlib.pyplot as plt\n", "from datetime import datetime\n", "\n", @@ -52,7 +52,7 @@ "metadata": {}, "outputs": [], "source": [ - "source_grid = open_netcdf(path=source_path)" + "source_grid = nes.open_netcdf(path=source_path)" ] }, { @@ -97,14 +97,12 @@ "outputs": [ { "data": { - "image/png": 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Of+fKd8g/PJ83N7zJyx+9XNlHMTB7IH0O6VPl8ZNruZo0IVHSz4FLCZZwj2QeA86MV4DOueYT2aMisv7SurJ1TJ4zGQiW1Kj++Om0Aadx7KHHsqhkEeMeH1c5dyIiJyuH3G65DOk5hCkjp5CXnVeZLHK65dChTQcATul/Cqf0P6V5K+sSLqYWiaQVwDAz25f4kBLPWySutcu9K7fGFWH7HtKXDGVQsr2kyuOn35z1G274yg18vP1jfrHgF1USRV52Htkdslvkkh4uvpq6RMr7QDdgc1yjcs41q/KKcu57574akwjAJzs+oWB4AQO7DazspxiYPZDDDzkcgL5d+3L/N+5vzpBdCog1kdwG/FPS+wRDgAEws3PrukjSTOAbwGYzOzYsuwW4EigNT7vZzF4Mj90EXA6UA9eZ2Uth+QjgYaAjwbDj683MJLUHHgVGAFuBb5vZ2hjr5Fxaq7AKlpUu4/U1r1Nu5UwdNZXMjEzuWHgHmcqkvIbpYAOyBvDYhMeSEK1LZbEmkkeAXwLFQEUD7v8wcC/BH/tod5rZ/0QXSBpKMGflGOBw4FVJR4aTH+8HJgNvESSSswm2270c2GZmR0iaFMb47QbE51za+fMHf+apZU8xf+18tuzaAsDJfU9m6qipACy5egkvrHwh4XtUuNYj1kSyxczubujNzWyBpNwYTx8PPGlme4E14T7sIyWtBbqa2UIASY8C5xEkkvHALeH1TwP3SpK1xrXxXatjZqzYuoLX17zOmyVv8sfxf6RNRhv+tv5vQaf44HGMzhnNGXlnkNstt/K6bh26NcseFa71iDWRLJZ0GzCbqo+2Gjv891pJFwNFwI/MbBvQl6DFEVESlu0P31cvJ/y5IYzlgKQyoAewpfoXSppM0KphwID4bTHpXHN7++O3uWPhHcxfO59NOzcBQSf5hrIN5GXn8et//zW/Pfu39XZ+Fwwr8MTh4iLWRHJC+HNUVFljh//eD/w8vP7nwG+A7wE1/VtvdZRTz7GqhWYzgBkQjNpqWMjONT8zY9Vnq5i/dj6vr32da066hlMHnMr2vdtZsG4BYwaO4YzcMxidO5pB2YMqE4fP9HbNLaZEYmZnxOsLzWxT5L2kPwDPhx9LCCY8RvQDPgnL+9VQHn1NiaQ2QBZQdYC7cylm666tXP/X65m/dj4f7/gYgMO6HMb4IeMBODPvTD6+4WMfbutajPoWbbwIeDyyxlYNxwcBfczs77F+oaQ+ZrYx/DiBYGgxBI/NHpd0B0Fn+2DgbTMrl7RD0ihgEXAxcE/UNZcAC4GJwGveP+JSyZpta3h97evMXzufI3scyc+++jOyOmSx6ONFnDrg1MoWx5AeQyoTh88Cdy1NfS2SHgTDfhcDiwmG7HYAjgD+jaAv4sbaLpb0BDAa6CmpBPhPYLSk4wkeQa0FrgIwsw8kPQUsAw4A10QtV/99vhz+Ozd8ATwEPBZ2zH9GMOrLuRbvP17+D/687M+V8zl6depFny59AGiT0YaVU3xRbZc66p3ZLimToC/kVKAPsBtYDsw1s/UJjzABfGa7ay4byjZUtjhWb1vN/EvnA3DNC9ewaeemyhbH0F5D/VGVa/EaPbM9bBW8Er6cczF47L3HuOWNW1i9bTUA3Tt2Z3TuaHbv303Hth257//cl+QInYsf32rXuSb4ZMcnwaiqNa8zf918nrngGYb3Hk7X9l0Z3ns41428jjPyzuDYQ4/1vg2XtjyRONcAFVZBhjIo3lTMxD9P5F9b/wVAVvss/i333yivCLr1xh81nvFHjU9mqM41G08krtWra1+OTV9s4o11b1S2OC4adhHTvjqNAVkDGNJjCFeNuIrRuaM5rvdxZGZkJrkmziVHfcN/b6jruJndEd9wnGtete7LYXDnW3eyeONiAA5pdwin55zOkJ5DAMjqkMXsC2cnLW7nWpL6WiSHNEsUziXJtHnTqixcCLBr/y6mvTaNC4+9kAuOuYDRuaM5sc+JtMnwBrxzNanzvwwzu7W5AnEuGdaX1TyCfX3Zem772m3NHI1zqSnWrXZrWvm3DCgys+fiG5JzzWPTF5tok9GG/RX7Dzo2IMsX9nQuVrGOR+wAHA+sDF/Dge7A5ZLuSlBsziVU947dGXboMNpnVl3k0PflcK5hYk0kRwBnmtk9ZnYP8DXgaIK1ss5KVHDOJcIjSx6hdGcpbTPbsviqxTw0/iFysnIQIicrhxnnzPDl1Z1rgFh7D/sCnQkeZxG+PzxcUHFv7Zc513LsK9/HdXOv44HFD/Cz03/Gz8/8OeD7cjjXVLEmkl8BSyTNJ9gD5KvAf0vqDLyaoNici5vNOzcz8amJ/G3937jx1Bu5ZfQtyQ7JubQR634kD0l6ERhJkEhuNrPIniD/kajgnIuHZaXLGFs4ls07N/P4Nx/nwmEXJjsk59JKQwbG7wE2Ei4jL+kIM1uQmLCci59DOx9KTlYOsy6YxYjDRyQ7HOfSTkyd7ZKuABYALwG3hj9vSVxYzjVNhVUwY/EM9pfvp2ennrxx6RueRJxLkFhHbV0PnASsC7fdPYFgkyvnWpyyPWWMf3I8Vz1/FX9e9mcA3+vDuQSKNZHsMbM9AJLam9mHwJD6LpI0U9JmSe9Hlf1a0oeSlkp6VlK3sDxX0m5JS8LX76OuGSGpWNIqSXcr/Ksgqb2kP4XliyTlxl51l45Wbl3JqIdG8ddVf+W+cfdx4bHeH+JcosWaSErCP/h/AV6R9BzwST3XQLA97tnVyl4BjjWz4cC/gJuijn1kZseHr6ujyu8HJhPs4z446p6XA9vM7AjgTuCXMdbHpYHC4kJy78ol49YMcu/K5eZ5NzPywZFs2bWFV777Cj846QfeEnGuGcQ6amtC+PYWSa8DWcBfI8clZZvZthquW1C9lWBmL0d9fAuYWNd3S+oDdDWzheHnR4HzCPZtH8+XfTVPA/dKktW3f7BLeTWt2nvnW3fSv2t/Xv7uy+R2y01ugM61Ig3ess3M3jCz2Wa2L6p4XiO//3sECSEiT9I/Jb0h6fSwrC9QEnVOSVgWObYhjOsAwYTJHjV9kaTJkookFZWWevdOqqtp1d49B/awt3yvJxHnmlm89v5s8PMDSdOAA0BhWLQRGGBmJwA3AI9L6lrLvSMtjrqOVS00m2Fm+WaW36tXr4aG61qY2lbt3VC2oZkjcc7FK5E06FGSpEuAbwAFkcdQZrbXzLaG7xcDHwFHErRA+kVd3o8v+2dKgP7hPdsQPHL7rPHVcC3dZ7s/49oXr8Vq+VfOV+11rvnFK5HETNLZwE+Bc81sV1R5L0mZ4fuBBJ3qq81sI7BD0qhwtNbFQGTp+tnAJeH7icBr3j+Snnbs3QFAhzYdeG7Fc4zOGU2HNh2qnOOr9jqXHAl9tCXpCWAhMERSiaTLgXsJdl58pdow368CSyW9R9BxfrWZRVoX3wceBFYRtFQi/SoPAT0krSJ4HHZjnOrjWgAzY8G6BYwrHMeJM06kvKKcTm07sXLKSl6/9HUePPdBX7XXuRZAsfwPvKTHzOy7tZVJ6h71R7/Fy8/Pt6KiomSH4WpRYRXMWTGH2/9xO2+VvEWvTr24/uTr+dEpPzqoFeKcaz6SFptZfvXyWNfaOqbazTKByvUmUimJuJZv7sq5nPen88jtlst94+7jsuMvo2PbjskOyzlXizoTiaSbgJuBjpK2R4qBfcCMBMfmWokv9n3Bg+8+SNuMtlwz8hrOPuJsnj7/acYfNZ42GQ1ZV9Q5lwx19pGY2W1mdgjwazPrGr4OMbMeZnZTXdc6V58tu7Zwy/xbyLkrhx++9EPmrQmmI2VmZPKtod/yJOJcioh1ZvtNkvoCOdHX+DLyrrFm/nMmU+ZOYdf+XZw75Fx+eupPOaX/KckOyznXCDElEkm3A5OAZUB5WGwES8s7F5MPNn9AVocs+nXtx1E9j+L8oefzk1N/wtBeQ5MdmnOuCWJ9djABGGJmvj+7q1NhcSHT5k1jfdl6BmQNYPqY6QzsNpDb/3E7s1fM5pqTruHecfdySv9TvAXiXJqINZGsBtoCnkhcrWpaSPHiZy+mwiro3rE7t/zbLVw78tokR+mci7f6Rm3dQ/AIaxewRNI8opKJmV2X2PBcKqlpIcUKqyC7Qzbrp66nc7vOSYrMOZdI9bVIIrP2FhMsR+LcQVZsWcGzHz7LurJ1NR7/fM/nnkScS2N1JhIze6S5AnGpZ+XWlYx/cjzLtywHoF1mO/aV7zvoPF9I0bn0FuuorWIOXuG3jKDF8ovIqr0ufZVXlPOPDf9g1vJZ5HXL4/pR1zMgawB52Xl8P//7nHfUeSxYv6BKHwn4QorOtQaxdrbPJRj2+3j4eRLBDPcygu10z4l7ZK5FeHX1q/zp/T/x3IrnKN1VSvvM9lydH+yC3L5Ne174zguV50YWTKw+assXUnQuvcW6aOM/zOzUmsokFZvZsIRFmAC+aGPtduzdwd/X/52xg8cC8K2nvsUrH73CN478BhOOmsDYwWPp0q5LkqN0ziVDUxdt7CLpZDNbFN5sJBD5a3IgTjG6JNmyawuzV8xm1vJZvLr6VfaW72X1davJy87j3rH30r1jd9q3aZ/sMJ1zLVSsieQKYKakLgSPtLYDV0jqDNyWqOBc4pgZknj+X88z/snxVFgFOVk5/OCkHzDhqAmVHeR9DumT5Eidcy1drGttvQMMk5RF8Djs86jDTyUkMhd3y0uXM2v5LJ798FkuO/4yrhl5DaP6jWLa6dOYcNQEjj/seIJNKJ1zLnb1TUi8yMz+V9IN1coBMLM76rl+JsHe7JvN7NiwrDvwJyAXWAtcYGbbwmM3AZcTdOxfZ2YvheUjCDr1OwIvAtebmUlqDzxKsDfKVuDbZrY2tqqnl5qWJikYVoCZ8bPXfsYzy59hxdYVAJzc92R6de4FQM9OPfmvM/4rmaE751JcfVvtRmaRHVLLqz4PA2dXK7sRmGdmg4F54WckDSUYDXZMeM3vInu4A/cDkwn2cR8cdc/LgW1mdgRwJ/DLGGJKO5GlSdaVrcMw1pWt47K/XEZhcSGS+PuGv9Ovaz/uG3cfJT8s4a0r3uKCYy5IdtjOuTQR06itJn2BlAs8H9UiWQGMNrONkvoA881sSNgawcxuC897CbiFoNXyupkdFZZfGF5/VeQcM1soqQ3wKdDL6qlUuo3ayr0rt8ZZ5f279mf9D9dTXlFOZkZmDVc651zsahu1VV+LJHLxkZLmSXo//Dxc0s8aGUtvM9sIEP48NCzvC2yIOq8kLOsbvq9eXuUaMztAMK+lRy11mCypSFJRaWlpI0NvmdaXra+xvGR78I/Nk4hzLpFiSiTAH4CbgP0AZraU4DFUPNXUy2t1lNd1zcGFZjPMLN/M8nv16tXIEFuOXft3sfbztQD0PaRvjef40iTOueYQayLpZGZvVytr7PyRTeEjLcKfm8PyEqB/1Hn9gE/C8n41lFe5Jny0lQV81si4UsL+8v3c/879HHH3EVw06yLMjNv//XY6te1U5TxfmsQ511xiTSRbJA0i/L99SROBjY38ztnAJeH7S4DnosonSWovKY+gU/3t8PHXDkmjFAwXu7jaNZF7TQReq69/JFVVWAVPFD/B0fcdzQ9e/AGDug/i9q/djiQKhhUw45wZ5GTlIEROVg4zzpnhS5M455pFrEukDARmAKcA24A1wEX1DbWV9AQwGugJbAL+E/gLwdyTAcB64Hwz+yw8fxrwPYLWzlQzmxuW5/Pl8N+5wJRw+G8H4DHgBIKWyCQzW11ffVKxs/2hdx/iijlXMLz3cG4bcxtjjxjrcz6cc82qts72Bo3aCmeyZ5jZjngG19xSJZH8Y/0/2Ll/J2cNOovd+3cz519zmDh0IhmKtSHpnHPx06S1tsKJf98imETYJmpCos9ki4Pqkwmvyr+KNze8yfP/ep6v9PsKZw06i45tO/rcD+dcixTrWlvPEQytXYzv2x5XNe1zfvO8m+nYpiO3jbmNKSOnJDlC55yrW6yJpJ+ZVZ+h7uKgpn3OAXp06sGNp92YhIicc65hYn3Y/qaklNpzJFXUNpnw4+0fN3MkzjnXOPUt2hjZYrcNcJmk1QSPtgSYmQ1PfIjpbUDWgBqXN/HJhM65VFHfo61vxHITSdmRFbgQwfwAABJCSURBVHxdw0wfM50rZl/BngN7Kst8MqFzLpXUmUjM7OD/Va7ZPODEpofT+hQMK2DzF5u54eVgpf6crBzf59w5l1LiNSHBZ8Y1wfijxgPwyHmPsHbqWk8izrmUEq9EkpbLkjSX51YEK75c8pdLyL0rl8LiwiRH5JxzsfMp0kkWmYwYsa5sHZPnTPZk4pxLGf5oK8mmzZvG7gO7q5Tt2r+rSnJxzrmWrN5EIikjsqFVHcbEKZ5Wp7Z5JLWVO+dcS1NvIjGzCuA9SbVObIis3usarrb5Iod1OayZI3HOucaJ9dFWH+CDcLvd2ZFXIgNrLaaPmX7QplQAn37xKT955Sc1Lp/inHMtSaxrbd2a0ChaschQ3+jVf28+/Wbe/vhtfv3mrznhsBO4cNiFSY7SOedqF/N+JJJygMFm9qqkTkBmqu5Lkir7kSz+ZDEn9jkRScxbPY/jDzueHp16JDss51wrVdt+JDE92pJ0JfA08EBY1Jdgp8PGBjNE0pKo13ZJUyXdIunjqPJxUdfcJGmVpBWSvh5VPkJScXjsbqXRtoEjDh+BJHbu28kFT1/A0fcdzePFj1O4tJDcu3LJuDXD550455Iu1q12lwAjgUVmdkJYVmxmTV4RWFIm8DFwMnAZ8IWZ/U+1c4YCT4QxHA68ChxpZuWS3gauB94CXgTujmzRW5tUaZFEW7ppKVfOuZK3P36bDGVQYRWVxzq17eR7tDvnEq5JLRJgr5nti7pZG+I3m30M8FE963qNB540s71mtgZYBYyU1AfoamYLLciIjwLnxSmuFmV47+G8+b03ye6QXSWJgM87cc4lV6yJ5A1JNwMdJf078GdgTpximETQ2oi4VtJSSTMlZYdlfYENUeeUhGV9w/fVyw8iabKkIklFpaWlcQq9eWVmZPL5ns9rPObzTpxzyRJrIrkRKAWKgasIHiH9rKlfLqkdcC5BYgK4HxgEHA9sBH4TObWGy62O8oMLzWaYWb6Z5ffq1atJcSfL5p2bad+mfY3HfP8S51yyxDr8dxzwkJn9Ic7fPxZ418w2AUR+Akj6A/B8+LEE6B91XT/gk7C8Xw3laee1Na9RMKuA/eX7aZfZjn3llU8aff8S51xSxdoimQSslPQrSUfH8fsvJOqxVtjnETEBiCzNMhuYJKm9pDxgMPC2mW0EdkgaFY7Wuhh4Lo7xJd2BigP839f+L1979Gt069CNd696l5njZ5KTlYMQOVk53tHunEuqhswj6Urwh/8ygsdHfwSeaOxcknAuygZgoJmVhWWPETzWMmAtcFWYLJA0DfgecACYGhmZJSkfeBjoCMwFplg9lUqlUVvLSpdxwgMnUDCsgHvG3kPndp2THZJzrpWqbdRWzIkkvElP4CJgKrAcOIJguO098Qq0OaRCIlm6aSnDew8HYOXWlQzuMTjJETnnWrumTkg8R9KzwGtAW2CkmY0FjgN+HNdIW6HC4i8nGObcmcPY/x3Lcb8/jhf+9QKAJxHnXIsWa2f7+cCdZrYgutDMdkn6XvzDaj0KiwuZPGdy5eKM67evZ/329Zw18Cy+NvBrSY7OOefqF1MiMbOL6zg2L37htD7T5k2rcYXfFVtX1DrU1znnWpJYH22NkvSOpC8k7ZNULml7ooNrDXxjK+dcqot1+O+9BCO2VhKMjroCSKkO9pZoz4E9HNr50BqP+QRD51yqiHnPdjNbRbB0fLmZ/RE4I3Fhpb/NOzdz5iNnsnXXVjq26VjlmE8wdM6lklg723eFy5kskfQrguVLfEJDI72/+X3OeeIcNn2xiScmPsHe8r1VNraaPma6TzB0zqWMWBPJd4FM4FrghwTLlXwrUUGls7kr5/Ltp79N53adeePSNzip70kAnjiccykr1lFbkSXed+Pb7jbJG+veYFD3QcyeNJv+Wf3rv8A551q4Ome2Syqmjn1HzGx4IoJKtOae2b6/fD/ry9YzqPsgKqyC3ft3+1InzrmUU9vM9vpaJN9IUDxprbC4sLLPo2/XvnRr340tu7fw4TUfktUhy5OIcy6t1JlI6tm1sJKkhWb2lfiElNqqz1Qv2V5CCSVcceIVZHXISnJ0zjkXfzEP/61HhzjdJ+XVNlP9lY9eSUI0zjmXePFKJPHavz3l+Ux151xrE69E4kK1zUj3merOuXQVr0RS097prdL0MdPp1LZTlTKfqe6cS2fxSiTfbegFktZKKpa0RFJRWNZd0iuSVoY/s6POv0nSKkkrJH09qnxEeJ9Vku4Ot9xNmoJhBcw4ZwZ9ugS7Bvfv2t+3wnXOpbU6E4mkHZK21/aKnGdm79d1nzqcYWbHR41LvhGYZ2aDgXnhZyQNJdg3/hjgbOB3kjLDa+4HJhPs4z44PJ5UBcMK+MmpPwHgvavf8yTinEtr9Q3/PQRA0n8BnwKPETzGKgAOSUA844HR4ftHgPnAT8PyJ81sL7BG0ipgpKS1QFczWxjG+ShwHsHe7Um1r3wfAO0y2yU5EuecS6xYH2193cx+Z2Y7zGy7md1P09faMuBlSYslTQ7LepvZRoDwZ2SN9b7AhqhrS8KyvuH76uUHkTRZUpGkotLS0iaGXr+9B/YC+OZUzrm0F2siKZdUIClTUoakAqC8id99qpmdCIwFrpH01TrOranfw+ooP7jQbIaZ5ZtZfq9evRoebQMUFhfym4W/AWDQ3YMoLC5M6Pc551wyxZpIvgNcAGwKX+eHZY1mZp+EPzcDzwIjgU2S+gCEPzeHp5cQrDgc0Q/4JCzvV0N50kRmtpftLQOC+SOT50z2ZOKcS1sxJRIzW2tm482sp5n1MrPzzGxtY79UUmdJkf6XzsBZwPvAbOCS8LRLgOfC97OBSZLaS8oj6FR/O3z8tSPcCljAxVHXJEVNM9t37d/FtHnTkhSRc84lVp2d7ZJ+Yma/knQPNTwyMrPrGvm9vYFnw5G6bYDHzeyvkt4BnpJ0ObCeoOWDmX0g6SlgGXAAuMbMIo/Wvg88TLAF8FyS3NHuM9udc61Nfav/Lg9/xnXNdTNbDRxXQ/lWYEwt10wHDprVZ2ZFwLHxjK8pBmQNYF3ZwWtd+sx251y6qm/475zw5yPNE07qmz5mepXVf8Fntjvn0ltMOyRKygemATnR16TqxlaJFJl8eOOrN1KyvYTsDtncM+4en5TonEtbse7ZXgj8B1AMVCQunPRQMKyAgmEF9PxVTyYOnehJxDmX1mJNJKVmNjuhkaSho3oexYdbPkx2GM45l1CxJpL/lPQgwfpXeyOFZjYrIVGliaN6HsW8NfOSHYZzziVUrBMSLwOOJ1gQ8Zzw5fu51+OU/qdQYRVk3JpB7l25PinROZeWYm2RHGdmwxIaSZopLC5kytwplaO31pWtY/KcYEkx7zNxzqWTWFskb4VLubsY+Qx351xrEWuL5DTgEklrCPpIBJgP/62dz3B3zrUWsSaSpG8WlWq6tu9auXBjNJ/h7pxLNzElEjM7eM0PV6u5K+dStreMTGVSbl+utu8z3J1z6Shee7a7KPcX3c/w3sP5wzl/ICcrByFysnJ873bnXFqSWY37QKW1/Px8KyqK6zqUVewr38fWXVvpc0ifhH2Hc841N0mLzSy/erm3SJqosLiQ3Ltyybg1g+6/7M4DRQ/QLrOdJxHnXKsRa2e7q0FkN8TIMN9te7YxZe4UurTv4o+wnHOthrdImqCmuSL7K/b7XBHnXKuSlEQiqb+k1yUtl/SBpOvD8lskfSxpSfgaF3XNTZJWSVoh6etR5SMkFYfH7g633G0WPlfEOeeS1yI5APzIzI4GRgHXRM2cv9PMjg9fLwKExyYBxxDMafmdpMzw/PuByQT7uA+mGee81DYnxOeKOOdak6QkEjPbaGbvhu93EGzp27eOS8YDT5rZXjNbA6wCRkrqA3Q1s4UWDD97FDgvweFXmj5mOp3adqpS5nNFnHOtTdL7SCTlAicAi8KiayUtlTRTUnZY1hfYEHVZSVjWN3xfvbym75ksqUhSUWlpaVxiLxhWwIxzZvhcEedcq5bUUVuSugDPAFPNbLuk+4GfAxb+/A3wPYK1vaqzOsoPLjSbAcyAYB5J06MPFAwr4Pyh59Mus128bumccyklaS0SSW0JkkhhZIMsM9tkZuVmVgH8ARgZnl4C9I+6vB/wSVjer4byZlO4tJD2v2iPbpXvOeKca5WSNWpLwEPAcjO7I6o8ehbfBOD98P1sYJKk9pLyCDrV3zazjcAOSaPCe14MPNcslSCYR3LlnCsrP0f2HPFk4pxrTZLVIjkV+C5wZrWhvr8Kh/IuBc4AfghgZh8ATwHLgL8C15hVrob4feBBgg74j4C5zVWJafOmsfvA7iplvueIc661SUofiZn9nZr7N16s45rpwEHDocysCDg2ftHFzueROOdcCxi1lcpqW0/L55E451oTTySNEFmo8ZMdB/fr+zwS51xr44s2NlD1hRoBhDCMnKwcpo+Z7vNInHOtiieSBqppocZIElk7dW1ygnLOuSTyR1sN5B3szjlXlSeSBuqf1b/Gcu9gd861Vp5IYhTpYK+p5eEd7M651sz7SGLgHezOOVc7TyQx8A5255yrnT/aioF3sDvnXO08kcSge8fuDSp3zrnWxBOJc865JvFEEoOtu7c2qNw551oTTyQxyFRmg8qdc6418UQSg/LKrU9iK3fOudbEE0kMvEXinHO1S4tEIulsSSskrZJ0Y7zv7y0S55yrXconEkmZwH3AWGAocKGkoXH9jho3c6y93DnnWpOUTyTASGCVma02s33Ak8D4eH6BYQ0qd8651iQdEklfYEPU55KwrApJkyUVSSoqLS1ttuCccy7dpUMiqen50kFNBTObYWb5Zpbfq1evBn1Bj449GlTunHOtSTokkhIgepOQfsDBm6k3wW/H/pZ2me2qlLXLbMdvx/42nl/jnHMpKR0SyTvAYEl5ktoBk4DZ8fyCgmEFzBw/k5ysHITIycph5viZvnS8c86RBsvIm9kBSdcCLwGZwEwz+yDe31MwrMATh3PO1SDlEwmAmb0IvJjsOJxzrjVKh0dbzjnnksgTiXPOuSbxROKcc65JPJE455xrEpm1vmU+JJUC65Idh3POpZgcMztoRnerTCTOOefixx9tOeecaxJPJM4555rEE4lzzrkm8UTiHCCpn6TnJK2U9JGk34ZrtyFppKQl4es9SRPquM/TkgY2MobRkp5vbB3iQdK1ki5LZgwu9Xgica2eJAGzgL+Y2WDgSKALMD085X0g38yOB84GHpB00PJCko4BMs1sdfNEnhAzgeuSHYRLLZ5InIMzgT1m9kcAMysHfgh8T1InM9tlZgfCcztQw343oQLgucgHSV9EvZ8o6eHw/cOS7pb0pqTVkiZWv5GkkyT9U9JASbdImilpfnj+dVHn3SDp/fA1NSz7SeQcSXdKei18P0bS/0ZikzQ9bGG9Jal3WPddwFpJIxvxz9G1Up5InINjgMXRBWa2HVgPHAEg6WRJHwDFwNVRiSXaqdXvU4c+wGnAN4Dbow9IOgX4PTA+qnVzFPB1gq2l/1NSW0kjgMuAk4FRwJWSTgAWAKeH1+UDXSS1Db/vb2F5Z+AtMzsuPP/KqBCKoq53rl6eSJwLdtmsqZVRWW5mi8zsGOAk4CZJHWo4vw8Q6z7OfzGzCjNbBvSOKj8amAGcY2bro8pfMLO9ZrYF2BxecxrwrJntNLMvCB7PnU6QzEZIOgTYCywkSCin82Ui2QdE+mMWA7lR37UZODzGejjnicQ54AOCP7SVJHUl2Hnzo+hyM1sO7ASOreE+uwkefVWeHvW+euLZG/11Ue83AnuAE+o4v5xgC4iatpnGzPYDawlaK28SJI8zgEHA8vC0/fblbOTI/aJj3V3TvZ2riScS52Ae0EnSxQCSMoHfAA+b2a5w98024bEcYAjBH+rqlhM+CgttknS0pAyg1pFe1XwO/B/gvyWNrufcBcB5kjpJ6hx+x9+ijv04/Pk34GpgicW2lMWRBAMMnIuJJxLX6oV/XCcA50taCfyLoFVwc3jKacB7kpYAzwI/CB8xVfcCMDrq840Ej49eI2hpxBrPJuAc4D5JJ9dx3rvAw8DbwCLgQTP7Z3j4bwSP2haG99vDl0mmPqcCr8Yar3O+1pZzcSKpI/A6cGo48ivlhJ31N5jZd5Mdi0sdnkiciyNJXweWV+soTxmS/h1YaWZrkx2LSx2eSJxzzjWJ95E455xrEk8kzjnnmsQTiXPOuSbxROKcc65JPJE455xrkv8PcEzwRBZxJcIAAAAASUVORK5CYII=\n", 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"CPU times: user 9.77 s, sys: 35.3 ms, total: 9.81 s\n", + "Wall time: 9.84 s\n" ] } ], @@ -253,14 +251,12 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -295,7 +291,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -309,7 +305,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" }, "vscode": { "interpreter": { diff --git a/tutorials/4.Interpolation/4.1.2.Vertical_Interpolation_Extrapolation.ipynb b/tutorials/4.Interpolation/4.1.2.Vertical_Interpolation_Extrapolation.ipynb index 128ba78221724a008df2e10259a03b503558f20e..da745ef563b7788f1480d7690ea3316fa8dee372 100644 --- a/tutorials/4.Interpolation/4.1.2.Vertical_Interpolation_Extrapolation.ipynb +++ b/tutorials/4.Interpolation/4.1.2.Vertical_Interpolation_Extrapolation.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import matplotlib.pyplot as plt\n", "from datetime import datetime\n", "import numpy as np\n", @@ -59,10 +59,10 @@ "n_lat = 13\n", "n_lon = 25\n", "\n", - "nessy = create_nes(info=False, projection='regular', \n", - " lat_orig=lat_orig, lon_orig=lon_orig, \n", - " inc_lat=inc_lat, inc_lon=inc_lon, \n", - " n_lat=n_lat, n_lon=n_lon)\n", + "nessy = nes.create_nes(info=False, projection='regular', \n", + " lat_orig=lat_orig, lon_orig=lon_orig, \n", + " inc_lat=inc_lat, inc_lon=inc_lon, \n", + " n_lat=n_lat, n_lon=n_lon)\n", "\n", "nessy.set_time([datetime(year=1986, month=11, day=29)])\n", "nessy.set_levels({'data': (np.linspace(0, 2*np.pi, 10) * 10) + 100, 'units': 'm'})" @@ -107,14 +107,12 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -142,7 +140,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -173,7 +171,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -183,7 +181,7 @@ " 130, 140, 150, 160, 170, 180, 190, 200])" ] }, - "execution_count": 12, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -197,7 +195,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -206,15 +204,15 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 135 ms, sys: 2.57 ms, total: 138 ms\n", - "Wall time: 137 ms\n" + "CPU times: user 36 ms, sys: 95 µs, total: 36.1 ms\n", + "Wall time: 35.9 ms\n" ] } ], @@ -224,19 +222,17 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -274,7 +270,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -288,7 +284,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" }, "toc-autonumbering": true, "vscode": { diff --git a/tutorials/4.Interpolation/4.2.Horizontal_Interpolation_NearestNeighbour.ipynb b/tutorials/4.Interpolation/4.2.Horizontal_Interpolation_NearestNeighbour.ipynb index a47d30e2e3809965ffb7d326172bd4bcb2072b1d..6d3ab878f6dc0fab5716d8c4c755a2810b957bec 100644 --- a/tutorials/4.Interpolation/4.2.Horizontal_Interpolation_NearestNeighbour.ipynb +++ b/tutorials/4.Interpolation/4.2.Horizontal_Interpolation_NearestNeighbour.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import geopandas as gpd\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", @@ -27,7 +27,7 @@ "metadata": {}, "outputs": [], "source": [ - "countries = gpd.read_file('/esarchive/shapefiles/gadm_country_mask/gadm_country_ISO3166.shp')\n", + "countries = gpd.read_file('/gpfs/projects/bsc32/models/NES_tutorial_data/gadm_country_mask/gadm_country_ISO3166.shp')\n", "\n", "def plot_data(nessy, var_name, zoom=None):\n", " nessy.create_spatial_bounds()\n", @@ -75,29 +75,16 @@ "metadata": {}, "outputs": [], "source": [ - "source_grid = open_netcdf(path=source_path)\n", + "source_grid = nes.open_netcdf(path=source_path)\n", "source_grid.keep_vars(var_name)\n", "source_grid.load()" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "plot_data(source_grid, var_name)" ] @@ -118,7 +105,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -131,10 +118,10 @@ "n_lat = 420\n", "n_lon = 700\n", "\n", - "dst_grid = create_nes(comm=None, info=False, projection='regular',\n", - " lat_orig=lat_orig, lon_orig=lon_orig, \n", - " inc_lat=inc_lat, inc_lon=inc_lon, \n", - " n_lat=n_lat, n_lon=n_lon)" + "dst_grid = nes.create_nes(comm=None, info=False, projection='regular',\n", + " lat_orig=lat_orig, lon_orig=lon_orig, \n", + " inc_lat=inc_lat, inc_lon=inc_lon, \n", + " n_lat=n_lat, n_lon=n_lon)" ] }, { @@ -153,62 +140,27 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 4.73 s, sys: 400 ms, total: 5.13 s\n", - "Wall time: 5.23 s\n" - ] - } - ], + "outputs": [], "source": [ "%time interp_nn1 = source_grid.interpolate_horizontal(dst_grid, kind='NearestNeighbour', n_neighbours=1)" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", 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    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Zoom in plot\n", "plot_data(interp_nn1, var_name, zoom={'x_min': -30, 'x_max': 50, 'y_min': 25, 'y_max':75})" @@ -223,40 +175,18 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 11.2 s, sys: 543 ms, total: 11.7 s\n", - "Wall time: 11.8 s\n" - ] - } - ], + "outputs": [], "source": [ "%time interp_nn4 = source_grid.interpolate_horizontal(dst_grid, kind='NearestNeighbour', n_neighbours=4)" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "plot_data(interp_nn4, var_name, zoom={'x_min': -30, 'x_max': 50, 'y_min': 25, 'y_max':75})" ] @@ -270,40 +200,18 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 33.5 s, sys: 13.2 s, total: 46.7 s\n", - "Wall time: 46.9 s\n" - ] - } - ], + "outputs": [], "source": [ "%time interp_nn16 = source_grid.interpolate_horizontal(dst_grid, kind='NearestNeighbour', n_neighbours=16)" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "plot_data(interp_nn16, var_name, zoom={'x_min': -30, 'x_max': 50, 'y_min': 25, 'y_max':75})" ] @@ -317,40 +225,18 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 59.3 s, sys: 33.5 s, total: 1min 32s\n", - "Wall time: 1min 33s\n" - ] - } - ], + "outputs": [], "source": [ "%time interp_nn32 = source_grid.interpolate_horizontal(dst_grid, kind='NearestNeighbour', n_neighbours=32)" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "plot_data(interp_nn32, var_name, zoom={'x_min': -30, 'x_max': 50, 'y_min': 25, 'y_max':75})" ] @@ -358,7 +244,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -372,7 +258,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" }, "vscode": { "interpreter": { diff --git a/tutorials/4.Interpolation/4.3.Horizontal_Interpolation_Conservative.ipynb b/tutorials/4.Interpolation/4.3.Horizontal_Interpolation_Conservative.ipynb index f7d17176d637e19b18b82c6f1c326caa45f07701..b06f502bae551e8596fe1b17b77fbc8adf944bbf 100644 --- a/tutorials/4.Interpolation/4.3.Horizontal_Interpolation_Conservative.ipynb +++ b/tutorials/4.Interpolation/4.3.Horizontal_Interpolation_Conservative.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import geopandas as gpd\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", @@ -27,7 +27,7 @@ "metadata": {}, "outputs": [], "source": [ - "countries = gpd.read_file('/esarchive/shapefiles/gadm_country_mask/gadm_country_ISO3166.shp')\n", + "countries = gpd.read_file('/gpfs/projects/bsc32/models/NES_tutorial_data/gadm_country_mask/gadm_country_ISO3166.shp')\n", "\n", "def plot_data(nessy, var_name, zoom=None):\n", " nessy.create_spatial_bounds()\n", @@ -74,7 +74,7 @@ "metadata": {}, "outputs": [], "source": [ - "source_grid = open_netcdf(path=source_path)\n", + "source_grid = nes.open_netcdf(path=source_path)\n", "source_grid.keep_vars(var_name)\n", "source_grid.load()" ] @@ -127,7 +127,7 @@ "x_0 = -2131849.000\n", "y_0 = -2073137.875\n", "\n", - "dst_nes = create_nes(comm=None, info=False, projection='lcc', \n", + "dst_nes = nes.create_nes(comm=None, info=False, projection='lcc', \n", " lat_1=lat_1, lat_2=lat_2, lon_0=lon_0, lat_0=lat_0,\n", " nx=nx, ny=ny, inc_x=inc_x, inc_y=inc_y, x_0=x_0, y_0=y_0)" ] diff --git a/tutorials/5.Geospatial/.5.1.Create_Shapefiles.ipynb b/tutorials/5.Geospatial/.5.1.Create_Shapefiles.ipynb index 1d7eb476c8c0fbee9fcda1b31a2215874612d0e5..5a809efc0079ee5faed07bbc5b160ecaa7b683ab 100644 --- a/tutorials/5.Geospatial/.5.1.Create_Shapefiles.ipynb +++ b/tutorials/5.Geospatial/.5.1.Create_Shapefiles.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import datetime" ] }, @@ -42,7 +42,7 @@ "# Original path: /gpfs/scratch/bsc32/bsc32538/original_files/franco_interp.nc\n", "# Regular lat-lon grid from MONARCH\n", "grid_path = '/gpfs/projects/bsc32/models/NES_tutorial_data/franco_interp.nc'\n", - "grid = open_netcdf(path=grid_path, info=True)" + "grid = nes.open_netcdf(path=grid_path, info=True)" ] }, { @@ -215,7 +215,7 @@ }, { "data": { - "image/png": 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+ "image/png": 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"text/plain": [ "
    " ] @@ -288,9 +288,9 @@ "inc_lon = 0.1\n", "n_lat = 50\n", "n_lon = 100\n", - "regular_grid = create_nes(comm=None, info=False, projection='regular',\n", - " lat_orig=lat_orig, lon_orig=lon_orig, inc_lat=inc_lat, inc_lon=inc_lon, \n", - " n_lat=n_lat, n_lon=n_lon)" + "regular_grid = nes.create_nes(comm=None, info=False, projection='regular',\n", + " lat_orig=lat_orig, lon_orig=lon_orig, inc_lat=inc_lat, inc_lon=inc_lon, \n", + " n_lat=n_lat, n_lon=n_lon)" ] }, { @@ -530,7 +530,7 @@ }, { "data": { - "image/png": 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+ "image/png": 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    " ] @@ -562,7 +562,7 @@ }, { "data": { - "image/png": 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+ "image/png": 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"text/plain": [ "
    " ] @@ -596,10 +596,10 @@ "south_boundary = -27\n", "inc_rlat = 0.2\n", "inc_rlon = 0.2\n", - "rotated_grid = create_nes(comm=None, info=False, projection='rotated',\n", - " centre_lat=centre_lat, centre_lon=centre_lon,\n", - " west_boundary=west_boundary, south_boundary=south_boundary,\n", - " inc_rlat=inc_rlat, inc_rlon=inc_rlon)" + "rotated_grid = nes.create_nes(comm=None, info=False, projection='rotated',\n", + " centre_lat=centre_lat, centre_lon=centre_lon,\n", + " west_boundary=west_boundary, south_boundary=south_boundary,\n", + " inc_rlat=inc_rlat, inc_rlon=inc_rlon)" ] }, { @@ -839,7 +839,7 @@ }, { "data": { - "image/png": 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\n", 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\n", + "image/png": 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", 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    " ] @@ -909,9 +909,9 @@ "inc_y = 4000\n", "x_0 = -807847.688\n", "y_0 = -797137.125\n", - "lcc_grid = create_nes(comm=None, info=False, projection='lcc',\n", - " lat_1=lat_1, lat_2=lat_2, lon_0=lon_0, lat_0=lat_0, \n", - " nx=nx, ny=ny, inc_x=inc_x, inc_y=inc_y, x_0=x_0, y_0=y_0)" + "lcc_grid = nes.create_nes(comm=None, info=False, projection='lcc',\n", + " lat_1=lat_1, lat_2=lat_2, lon_0=lon_0, lat_0=lat_0, \n", + " nx=nx, ny=ny, inc_x=inc_x, inc_y=inc_y, x_0=x_0, y_0=y_0)" ] }, { @@ -1151,7 +1151,7 @@ }, { "data": { - "image/png": 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\n", 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", 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\n", 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", 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    " ] @@ -1219,9 +1219,9 @@ "inc_y = 50000\n", "x_0 = -126017.5\n", "y_0 = -5407460.0\n", - "mercator_grid = create_nes(comm=None, info=False, projection='mercator',\n", - " lat_ts=lat_ts, lon_0=lon_0, nx=nx, ny=ny, \n", - " inc_x=inc_x, inc_y=inc_y, x_0=x_0, y_0=y_0)" + "mercator_grid = nes.create_nes(comm=None, info=False, projection='mercator',\n", + " lat_ts=lat_ts, lon_0=lon_0, nx=nx, ny=ny, \n", + " inc_x=inc_x, inc_y=inc_y, x_0=x_0, y_0=y_0)" ] }, { @@ -1461,7 +1461,7 @@ }, { "data": { - "image/png": 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+ "image/png": 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    " ] @@ -1493,7 +1493,7 @@ }, { "data": { - "image/png": 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+ "image/png": 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    " ] diff --git a/tutorials/5.Geospatial/.5.3.Add_Coordinates_Bounds.ipynb b/tutorials/5.Geospatial/.5.3.Add_Coordinates_Bounds.ipynb index 737196718df05cbf3a97f44f2a9607d8dd0bc731..964defce2a904f12821427360e5a492a5322682f 100644 --- a/tutorials/5.Geospatial/.5.3.Add_Coordinates_Bounds.ipynb +++ b/tutorials/5.Geospatial/.5.3.Add_Coordinates_Bounds.ipynb @@ -15,7 +15,7 @@ "source": [ "import datetime\n", "import numpy as np\n", - "from nes import *" + "import nes" ] }, { @@ -60,7 +60,7 @@ } ], "source": [ - "nessy_1 = open_netcdf(path=path_1, info=True)\n", + "nessy_1 = nes.open_netcdf(path=path_1, info=True)\n", "nessy_1" ] }, @@ -260,7 +260,7 @@ } ], "source": [ - "nessy_2 = open_netcdf('bounds_file_1.nc', info=True)\n", + "nessy_2 = nes.open_netcdf('bounds_file_1.nc', info=True)\n", "nessy_2" ] }, @@ -441,7 +441,7 @@ "# Original path: /gpfs/scratch/bsc32/bsc32538/mr_multiplyby/OUT/stats_bnds/monarch/a45g/regional/daily_max/O3_all/O3_all-000_2021080300.nc\n", "# Rotated grid from MONARCH\n", "path_3 = '/gpfs/projects/bsc32/models/NES_tutorial_data/O3_all-000_2021080300.nc'\n", - "nessy_3 = open_netcdf(path=path_3, info=True)\n", + "nessy_3 = nes.open_netcdf(path=path_3, info=True)\n", "nessy_3" ] }, @@ -677,7 +677,7 @@ } ], "source": [ - "nessy_4 = open_netcdf('bounds_file_3.nc', info=True)\n", + "nessy_4 = nes.open_netcdf('bounds_file_3.nc', info=True)\n", "nessy_4" ] }, diff --git a/tutorials/5.Geospatial/.5.5.Calculate_Geometry_Cell_Area.ipynb b/tutorials/5.Geospatial/.5.5.Calculate_Geometry_Cell_Area.ipynb index 3ad45060e664782f858cbd48831c59ed08ab5e81..5c485e53c1fb54a5529b7a020464f9fa5d6ed3d2 100644 --- a/tutorials/5.Geospatial/.5.5.Calculate_Geometry_Cell_Area.ipynb +++ b/tutorials/5.Geospatial/.5.5.Calculate_Geometry_Cell_Area.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *" + "import nes" ] }, { @@ -39,9 +39,9 @@ "inc_y = 4000\n", "x_0 = -807847.688\n", "y_0 = -797137.125\n", - "lcc_grid = create_nes(comm=None, info=False, projection='lcc',\n", - " lat_1=lat_1, lat_2=lat_2, lon_0=lon_0, lat_0=lat_0, \n", - " nx=nx, ny=ny, inc_x=inc_x, inc_y=inc_y, x_0=x_0, y_0=y_0)" + "lcc_grid = nes.create_nes(comm=None, info=False, projection='lcc',\n", + " lat_1=lat_1, lat_2=lat_2, lon_0=lon_0, lat_0=lat_0, \n", + " nx=nx, ny=ny, inc_x=inc_x, inc_y=inc_y, x_0=x_0, y_0=y_0)" ] }, { diff --git a/tutorials/5.Geospatial/5.2.Spatial_Join.ipynb b/tutorials/5.Geospatial/5.2.Spatial_Join.ipynb index 1f45f465b7a714b0421b5daa51c85ea319d81395..1f045584138bcfda792e7b2c50c6a794a31db2a0 100644 --- a/tutorials/5.Geospatial/5.2.Spatial_Join.ipynb +++ b/tutorials/5.Geospatial/5.2.Spatial_Join.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import geopandas as gpd\n", "import pandas as pd\n", "import numpy as np\n", @@ -29,7 +29,7 @@ "metadata": {}, "outputs": [], "source": [ - "countries_path = '/esarchive/shapefiles/gadm_country_mask/gadm_country_ISO3166.shp'\n", + "countries_path = '/gpfs/projects/bsc32/models/NES_tutorial_data/gadm_country_mask/gadm_country_ISO3166.shp'\n", "countries = gpd.read_file(countries_path)" ] }, @@ -55,10 +55,10 @@ "inc_rlat = 2.\n", "inc_rlon = 2.\n", "\n", - "nessy = create_nes(comm=None, info=False, projection=projection,\n", - " centre_lat=centre_lat, centre_lon=centre_lon,\n", - " west_boundary=west_boundary, south_boundary=south_boundary,\n", - " inc_rlat=inc_rlat, inc_rlon=inc_rlon)" + "nessy = nes.create_nes(comm=None, info=False, projection=projection,\n", + " centre_lat=centre_lat, centre_lon=centre_lon,\n", + " west_boundary=west_boundary, south_boundary=south_boundary,\n", + " inc_rlat=inc_rlat, inc_rlon=inc_rlon)" ] }, { @@ -77,14 +77,12 @@ "outputs": [ { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -119,21 +117,19 @@ "name": "stderr", "output_type": "stream", "text": [ - "/gpfs/projects/bsc32/software/suselinux/11/software/jupyterlab/3.0.9-foss-2019b-Python-3.7.4/lib/python3.7/site-packages/ipykernel_launcher.py:4: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "/scratch/tmp/9400020/ipykernel_2995633/2099596389.py:4: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", "\n", - " after removing the cwd from sys.path.\n" + " centroid_shp['geometry'] = centroid_shp['geometry'].centroid\n" ] }, { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -166,8 +162,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 22.2 s, sys: 940 ms, total: 23.1 s\n", - "Wall time: 25.3 s\n" + "CPU times: user 2.24 s, sys: 128 ms, total: 2.37 s\n", + "Wall time: 2.57 s\n" ] } ], @@ -177,22 +173,9 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Plot results\n", "\n", @@ -225,54 +208,23 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "TopologyException: Input geom 1 is invalid: Ring Self-intersection at or near point 10.454459190368652 47.555736541748047 at 10.454459190368652 47.555736541748047\n", - "TopologyException: Input geom 1 is invalid: Ring Self-intersection at or near point 28.070461273193359 59.298839569091911 at 28.070461273193359 59.298839569091911\n", - "TopologyException: Input geom 1 is invalid: Ring Self-intersection at or near point 10.917919158935604 36.649631500244254 at 10.917919158935604 36.649631500244254\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 4min 24s, sys: 1.26 s, total: 4min 25s\n", - "Wall time: 4min 26s\n" - ] - } - ], + "outputs": [], "source": [ - "nessy = create_nes(comm=None, info=False, projection=projection,\n", - " centre_lat=centre_lat, centre_lon=centre_lon,\n", - " west_boundary=west_boundary, south_boundary=south_boundary,\n", - " inc_rlat=inc_rlat, inc_rlon=inc_rlon)\n", + "nessy = nes.create_nes(comm=None, info=False, projection=projection,\n", + " centre_lat=centre_lat, centre_lon=centre_lon,\n", + " west_boundary=west_boundary, south_boundary=south_boundary,\n", + " inc_rlat=inc_rlat, inc_rlon=inc_rlon)\n", "\n", "%time nessy.spatial_join(countries_path, method='intersection', var_list='ISO')" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Plot results\n", "\n", @@ -304,54 +256,23 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/gpfs/projects/bsc32/software/suselinux/11/software/geopandas/0.10.2-foss-2019b-Python-3.7.4/lib/python3.7/site-packages/geopandas/array.py:348: UserWarning: Geometry is in a geographic CRS. Results from 'sjoin_nearest' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", - "\n", - " stacklevel=stacklevel,\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 1min 54s, sys: 840 ms, total: 1min 55s\n", - "Wall time: 1min 55s\n" - ] - } - ], + "outputs": [], "source": [ - "nessy = create_nes(comm=None, info=False, projection=projection,\n", - " centre_lat=centre_lat, centre_lon=centre_lon,\n", - " west_boundary=west_boundary, south_boundary=south_boundary,\n", - " inc_rlat=inc_rlat, inc_rlon=inc_rlon)\n", + "nessy = nes.create_nes(comm=None, info=False, projection=projection,\n", + " centre_lat=centre_lat, centre_lon=centre_lon,\n", + " west_boundary=west_boundary, south_boundary=south_boundary,\n", + " inc_rlat=inc_rlat, inc_rlon=inc_rlon)\n", "\n", "%time nessy.spatial_join(countries_path, method='nearest', var_list='ISO')" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Plot results\n", "\n", @@ -383,7 +304,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -394,7 +315,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -404,33 +325,17 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/gpfs/scratch/bsc32/bsc32538/NES_tests/NES/nes/nc_projections/default_nes.py:2444: UserWarning: WARNING!!! Different data types for variable ISO. Input dtype=. Data dtype=object.\n", - " warnings.warn(msg)\n" - ] - } - ], + "outputs": [], "source": [ "nessy.to_netcdf('spatial_join.nc')" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -444,7 +349,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" }, "vscode": { "interpreter": { diff --git a/tutorials/5.Geospatial/5.4.Calculate_Grid_Cell_Area.ipynb b/tutorials/5.Geospatial/5.4.Calculate_Grid_Cell_Area.ipynb index 91df85b62c12fb2489e9a40f68f1a1d4349a0eeb..91d74270f69550cc166faad10a1ea80b511d8c4c 100644 --- a/tutorials/5.Geospatial/5.4.Calculate_Grid_Cell_Area.ipynb +++ b/tutorials/5.Geospatial/5.4.Calculate_Grid_Cell_Area.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import numpy as np\n", "import xarray as xr\n", "import matplotlib.pyplot as plt" @@ -61,9 +61,9 @@ "inc_y = 4000\n", "x_0 = -807847.688\n", "y_0 = -797137.125\n", - "nessy = create_nes(comm=None, info=False, projection=projection,\n", - " lat_1=lat_1, lat_2=lat_2, lon_0=lon_0, lat_0=lat_0, \n", - " nx=nx, ny=ny, inc_x=inc_x, inc_y=inc_y, x_0=x_0, y_0=y_0)" + "nessy = nes.create_nes(comm=None, info=False, projection=projection,\n", + " lat_1=lat_1, lat_2=lat_2, lon_0=lon_0, lat_0=lat_0, \n", + " nx=nx, ny=ny, inc_x=inc_x, inc_y=inc_y, x_0=x_0, y_0=y_0)" ] }, { @@ -232,66 +232,66 @@ { "data": { "text/plain": [ - "{'data': array([[15830419.37602491, 15830657.31464759, 15830893.98187641,\n", - " 15831129.37902908, 15831363.50737192, 15831596.36818251,\n", - " 15831827.96271216, 15832058.29223234, 15832287.3580128 ,\n", - " 15832515.16128843],\n", - " [15832888.43944364, 15833125.4618577 , 15833361.21722112,\n", - " 15833595.70682441, 15833828.93193695, 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15844712.63252152],\n", - " [15845072.86781775, 15845305.27923895, 15845536.44539522,\n", + "{'data': array([[15830419.37602062, 15830657.31464759, 15830893.9818806 ,\n", + " 15831129.37902967, 15831363.50736617, 15831596.3681775 ,\n", + " 15831827.96270714, 15832058.29223234, 15832287.3580128 ,\n", + " 15832515.16128502],\n", + " [15832888.43944878, 15833125.4618577 , 15833361.21722112,\n", + " 15833595.70683101, 15833828.93195019, 15834060.89386689,\n", + " 15834291.59385652, 15834521.03319032, 15834749.2131148 ,\n", + " 15834976.13488405],\n", + " [15835346.79239709, 15835582.8966068 , 15835817.73809013,\n", + " 15836051.31816116, 15836283.63810146, 15836514.69919126,\n", + " 15836744.50269644, 15836973.04988706, 15837200.34204102,\n", + " 15837426.38041017],\n", + " [15837794.42326939, 15838029.60727211, 15838263.53291627,\n", + " 15838496.20148725, 15838727.61427387, 15838957.77256098,\n", + " 15839186.67763537, 15839414.3307679 , 15839640.73320756,\n", + " 15839865.88623092],\n", 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15849294.68888149,\n", - " 15849516.28136931],\n", - " [15849871.34221948, 15850101.89526329, 15850331.21182007,\n", + " 15848847.8071165 , 15849071.86456625, 15849294.68889224,\n", + " 15849516.28137503],\n", + " [15849871.34220659, 15850101.89525831, 15850331.21182007,\n", " 15850559.293196 , 15850786.14069547, 15851011.75562783,\n", - " 15851236.13929178, 15851459.2929683 , 15851681.21793849,\n", - " 15851901.91547563],\n", - " [15852254.39832998, 15852484.01919013, 15852712.40796391,\n", - " 15852939.56596235, 15853165.49449526, 15853390.19487267,\n", - " 15853613.66838107, 15853835.91632964, 15854056.94000432,\n", - " 15854276.74067481],\n", - " [15854626.65180506, 15854855.33845814, 15855082.79744119,\n", - " 15855309.03006979, 15855534.03765641, 15855757.82150882,\n", - " 15855980.3829386 , 15856201.72323178, 15856421.84367417,\n", - " 15856640.74556485],\n", - " [15856988.09116465, 15857215.84163662, 15857442.36884046,\n", - " 15857667.67411114, 15857891.75877949, 15858114.62415727,\n", - " 15858336.27153077, 15858556.70220796, 15858775.91748785,\n", - " 15858993.91865496],\n", + " 15851236.13928748, 15851459.29295979, 15851681.21792792,\n", + " 15851901.9154695 ],\n", + " [15852254.39834481, 15852484.01920091, 15852712.40796247,\n", + " 15852939.56594949, 15853165.49448883, 15853390.19487267,\n", + " 15853613.66838524, 15853835.91633486, 15854056.94000432,\n", + " 15854276.74068052],\n", + " [15854626.65179864, 15854855.33846037, 15855082.7974463 ,\n", + " 15855309.03008198, 15855534.03766384, 15855757.82150882,\n", + " 15855980.3829386 , 15856201.72323178, 15856421.84366918,\n", + " 15856640.74555583],\n", + " [15856988.09117283, 15857215.84163193, 15857442.36883262,\n", + " 15857667.67411757, 15857891.75878592, 15858114.62415727,\n", + " 15858336.27153077, 15858556.70220796, 15858775.91749203,\n", + " 15858993.91866019],\n", " [15859338.70502081, 15859565.51727597, 15859791.11070865,\n", - " 15860015.48665859, 15860238.64643876, 15860460.59134635,\n", - " 15860681.3227187 , 15860900.84184616, 15861119.15002387,\n", + " 15860015.486654 , 15860238.64643105, 15860460.59134635,\n", + " 15860681.32271516, 15860900.84184261, 15861119.15002387,\n", " 15861336.24853621],\n", - " [15861678.48197006, 15861904.35401631, 15862129.01168405,\n", - " 15862352.45630977, 15862574.68920346, 15862795.71170322,\n", - " 15863015.52510921, 15863234.13072645, 15863451.52986768,\n", - " 15863667.72381984],\n", - " [15864007.41061145, 15864232.34043731, 15864456.06035349,\n", - " 15864678.57167045, 15864899.87571356, 15865119.97382447,\n", + " [15861678.48196365, 15861904.35400991, 15862129.01168405,\n", + " 15862352.45630977, 15862574.68919848, 15862795.71169823,\n", + " 15863015.52511272, 15863234.13073009, 15863451.52986768,\n", + " 15863667.72381416],\n", + " [15864007.41061244, 15864232.34044404, 15864456.06034704,\n", + " 15864678.57166399, 15864899.87571753, 15865119.97383105,\n", " 15865338.86731228, 15865556.55748565, 15865773.04563914,\n", - " 15865988.33307546]])}" + " 15865988.33308532]])}" ] }, "execution_count": 7, @@ -474,20 +474,16 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ - "try:\n", - " results['area_cdo'] = xr.open_dataset('lcc_grid_cdo_area.nc').cell_area.values.ravel()\n", - "except KeyError:\n", - " msg = 'Error: Calculate grid area using CDO and save it as lcc_grid_cdo_area.nc'\n", - " raise KeyError(msg)" + "results['area_cdo'] = xr.open_dataset('/gpfs/projects/bsc32/models/NES_tutorial_data/lcc_grid_cdo_area.nc').cell_area.values.ravel()" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -496,7 +492,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -635,7 +631,7 @@ "[150 rows x 3 columns]" ] }, - "execution_count": 13, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -678,7 +674,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -687,19 +683,19 @@ "FID\n", "0 -18346.478591\n", "1 -18346.515863\n", - "2 -18346.552796\n", + "2 -18346.552797\n", "3 -18346.589390\n", "4 -18346.625647\n", " ... \n", - "145 -18346.387764\n", + "145 -18346.387763\n", "146 -18346.402289\n", "147 -18346.416586\n", "148 -18346.430659\n", - "149 -18346.444508\n", + "149 -18346.444509\n", "Length: 150, dtype: float64" ] }, - "execution_count": 14, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -710,16 +706,16 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "-18346.73769735212" + "np.float64(-18346.737697358058)" ] }, - "execution_count": 15, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -730,16 +726,16 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "-18346.31165357679" + "np.float64(-18346.311654422432)" ] }, - "execution_count": 16, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -750,16 +746,16 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "-18347.010925309733" + "np.float64(-18347.010924736038)" ] }, - "execution_count": 17, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -777,7 +773,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -798,7 +794,7 @@ "Length: 150, dtype: float64" ] }, - "execution_count": 18, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -809,16 +805,16 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "-0.11563013960521208" + "np.float64(-0.11563013960524898)" ] }, - "execution_count": 19, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -829,16 +825,16 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "-0.11550023822068668" + "np.float64(-0.11550023822922381)" ] }, - "execution_count": 20, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -849,16 +845,16 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "-0.11575966708690363" + "np.float64(-0.11575966708957625)" ] }, - "execution_count": 21, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -870,7 +866,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -884,7 +880,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" }, "vscode": { "interpreter": { diff --git a/tutorials/6.Others/.6.1.Add_Time_Bounds.ipynb b/tutorials/6.Others/.6.1.Add_Time_Bounds.ipynb index 77238010f589b7edb7564631e0d45168b1b44538..06d778c4e694e59ef2e6673088bb17a4afb833be 100644 --- a/tutorials/6.Others/.6.1.Add_Time_Bounds.ipynb +++ b/tutorials/6.Others/.6.1.Add_Time_Bounds.ipynb @@ -13,9 +13,9 @@ "metadata": {}, "outputs": [], "source": [ + "import nes\n", "import datetime\n", - "import numpy as np\n", - "from nes import *" + "import numpy as np" ] }, { @@ -34,7 +34,7 @@ "# Original path: /gpfs/scratch/bsc32/bsc32538/mr_multiplyby/OUT/stats_bnds/monarch/a45g/regional/daily_max/O3_all/O3_all-000_2021080300.nc\n", "# Rotated grid from MONARCH\n", "test_path = '/gpfs/projects/bsc32/models/NES_tutorial_data/O3_all-000_2021080300.nc'\n", - "nessy = open_netcdf(path=test_path, info=True)" + "nessy = nes.open_netcdf(path=test_path, info=True)" ] }, { diff --git a/tutorials/6.Others/.6.3.Plot.ipynb b/tutorials/6.Others/.6.3.Plot.ipynb index 156d9136472d97f9fbec7dc5e3b931e27c106e09..a2c057243b4cd89742de7b2e0ed3ad00fe0ea548 100644 --- a/tutorials/6.Others/.6.3.Plot.ipynb +++ b/tutorials/6.Others/.6.3.Plot.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", @@ -35,7 +35,7 @@ "metadata": {}, "outputs": [], "source": [ - "nessy = open_netcdf(file_path)" + "nessy = nes.open_netcdf(file_path)" ] }, { @@ -71,7 +71,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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", 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\n", + "image/png": 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wWlrdcdyeVA8Gk8N6tRGbdFDjtqQktk2Ie6io8AJuhQYw4HNwU4G4Iqac8rOqi3vsHR53Xncixt5dZkHyREO23zwO3BvjG02e2PsGvcuictFrH8s0eLFoyFzFdrV1MA/dClRbB3utD5qRw5ahzZ/rMi7l6lN2ZJ+DjFDn5C1JkhciE6f8Mgmd95PlOwPAGQCwePFidcdb2asgtjWpaCFRZ34v2htYqziBJUJsV5PgO4NmN6mDnl9jTXENmiuyuwBtU2snlkdA1jn3hmXB8FDXgWOmItbf3u4IJo+HmOy8SVEIy/JM+TxDB9ZhzPwPNDdWW8776o43EhutrKzrw1KCdCVJcgqA9WmaXp8kyTK5tjOA9wH4w17Pp2l6LoBzAWDp0qWOyXtI3GHliN6hqHUtDoCMyMkgmVCdwaOj6DasPdrWijfWopqdt2kbcMwc4H/UtbnyXWNehDhy4LHtr14AQuKXmGNE7KSiV6LQAbBsfXKKVfR6buExPYHlFMtyjjFzPg9lzMPKKPm8HZAdC9oL14rMPOLiiZg8gui9x163nK3nONPvrrEXsbHMgxez35axUT2nPSyBajLkECZLSe5FTiWsmWr8SMjUdQ7qRhnK9ywAL0yS5GRk5GwegK8gizBM7ntvADckSfLMNE3vDZbUgSrb7rJleYTIMz3y7I8D71yALNDOEwDsJHny4PgLu+O08KgpzCk84Z4sKcWKz0AnEe/AQeg8rcPgUBn8u0q6oxosLJ+R4dK2elCfJYrOnqfzRslBM7XQBLIqYotIzOwztvuwlkV2XNfnrgaLbSi+2baLZ9Me2yly96cW97kiGhy7G/2LdOxi5/WDNfkcRz2Rkub8LU3o5U5flW7NR7/xCHoS8DRN3wvgvQAgHPiZaZq+VOdJkqQNYGkVK5Q0fQGS5FJzVTeAPXUnZh2gr8cm9xaVz0Led/+cztcDxWnbVbEZ2PjbnfFWfBoA8N2HX5DfeuAsKZSebl/Q9W5lyYh8+yBdoh9BoV9hLOMnq/ubRSR0j6Qd0ensRNri3PMisdkF13N2mCnRDvXhvboNLCfsRcOMOSF5XKmNfOm5ccec4gYlhuqlJ9F1IVfKOukdH79vkItizLGqLLjb9XZpVg/Q3+5gCF3py6CK3Lgmt9ZWvylW4RjUIn8SVwkQ9NJbv5bf+iJeX+/dtmxtGsvARa/Lkhcc/K381lyZsJvkwcv++CXFc7+StC2pdpGedJCT4WC2XqiAL9O0HHFMZKMRs2EPwWMYvLLHzD2dx+MKLczOqONaC0Wgk8mEdTwCijm3l5OPRgTKW/J9kn6QC7/eVW5Df5ynN16IMkrJuju4mEmkhv62sk5bczrpSklUIuBpmi5HdtaGvd6q/mpiGzonpHfaTj/wbIuZ3o8u2VSq8ocaNPXvnXrrN/AItser8WUAwPH4bwBA+8H98jxP3Pl3AIAHlgkHfhXv6I5uBV5cD9d86wgc84OV2T9/KRfvUhk2SHtQtq8XDOoAGMd5lZoYG8wk0W7Zu3Te6mQ4IyKiWRgcgE67YqJMaAfN6MQOQrDwrHq8+EN1wDGyTv3mnL8b3bsV1tfb3bFusYMCYopMTWgtwV+I7rYto8C0JFUvePMCv83rKzBXU8yBV1kJtcDfiw1iFZpVCb/jik+ZsDdHeE/EDqfe+o2K7zN4cas4FYWBhLTo5nBJxYXq4oNPzm+95NmXZT8enyX3fl9+fOvP0UaxeAwWWzpl6FTKHiP/61POPyPy0bxdvQBmnNxe41u5sy7D44Rj96yTlGfCZ+XAMcWx915P2W7foyb0ca0svVr+79BN2Kh/ug0GLW9fiE7iaWPwS5+diWIs85CJcZrLejqppmTkuqyYqMmzBKlrsTLaWaReSzpMkIHSkgMbCjiCISHgnua/rjOJ1xGxbZV2n6+I3ZAzy4erc6ZetSUTo4xv7uYMtl+csb7bHZWdXfXoBY/rylMXX/r+ywEAN6voizfiiOzH+XJBc942sPO/Fnd2PyXbEdz/DeEgqK7YcJN6/jBJJ8vVeRZxWB2Pnjsh8zzPqqvl3CNolaSJ0zi6z7etAy/sRAwhBrDOrp3z39KPPdGtl2FKKyxLqAPILc7UNZK5CkRbY0hk4J4poWfuNOLcy09HlVRvwXoNgp3hclz8yUZtwoNd4WDcmtPMVW87orhBSxZy4EcXrNcfPimjoN/AKwAAuz1DDbRn1a9LKRydAhsoMzoMBTWnXIV9p+W1rSy573lZqtpwh3UZoXl4bx7bVXYnxkaXxpur+qzVecvdVZMrvEpPUk5CKsukzFEVCe4Dkj4g6S3q8Uvb8uNnoUqj2xRWV9Sxpf6IpJdI+q9KtjxulcJ8v+Ym7cEB9WNtlMfeyPv/35UMjptanrX5CkVcL5A0ZRvo3QxPx6oCz6rGUyDacu0BCz0O0ujC3YUp8iHSr1qEeK2knN8xy11IfLGSGBICDnRzD1VsP0OtYc0Gy1iyRLALgov+3x95Ng65IbMNnDsvW2AOn1dw5Tc/mHHFB+PWjucOOn4lVl15BKri2v85PP/9iGhZf45js3flnDFwzQ9OyH5cJxc0YRvjSUUy6A4vqOyh22X3lh/9xAq1OgBTo3RDcegSP+Ep6t6yLDn9LdkW44Jj/7K4dw0pjHBRFPkUzQv8cbaQXvyk5wMAxtUEf9VfXZT9+MJCAN+uV/dJg44K6FmexMKXcrfGBtb9zIVJCDePVdsNNbFRpXbCaeYtFnPGC1tRFg/CX/SMDPwExXm3JF2NcrBMYk1Lsykl4Gl6GpLkm+aqVjTaDvLki1U+YRzdzg7O831uayyu+e4JOPWFmYycliKrvqyINk/7/r6kPMZqRZLTlR8f/kIAwOtP/CIA4Ex8opnKAQAuB957ErChaIvlq5+b/XgZr2iTT07mbeZ/oOgzUcpyQH8GwJuznw9fLX3QknsdOk0qc2PyZhn9Y4epe4PehpTBS9A5nqyyVtWXptN3Svp+le0zkpKpz003rSUHEA+wRXM2LzwD23UQ8cAFu6AwTW1JSi+RNopFdpU1qdNoSk5exm3foyW9TJPRaXNwlKRLJb0fud4KZ0pKYk36oo/Cq4gh4MC9KHVlQBMt+wmaSCOQx4PjzENRxo42L3KzwYNuWJlfuvnSZwIAkn0zjm19e3HXY5Xx95IekiUXH/3KLMUr8QefzCj+E/G7jvR4XImVlH3TqWeZpDlBBjB+Upb+sv9q1sLZAF50HjqJNPvAizlNkAu7Tl0T4rZKZPar1Bj4TkYtL3grOe/L1XMUoQgnfo1Q1htbRZbDM/HRjWdkbfprHJjf2vfzWQP/5ix57qtqrK0Rgn2eEAC90bpEvuuUkY7qTym4O+s6oFfbshM8vV4tAJYn0l3XmNmqJxuzXtreosQxU0dfMweuEw+/T4tL6BR3zARwTUnyuiumJwfeCY+jKBMWsgw8OVjEWoUDmB3zEHwiDmDVwUfgoFtXdl5sZ8meL+wO0njBJ4WIaBrC3Si5se3VvabCTByOTM+0HHjbJ88GADwohf/ktIyQ33n7U7vrxDbYFIsxEbO9/kJx6TMtScl+/rekDEI0C1yk28GaD8bskGMH5WqiFziLMhlVhJt5WGYb/Z+II6D+QM8nilo2UYRDArwR3VEKLW4KXI8htHvxgo5ZBWYFknnMBPZf/GsAwJ3/8NRil3WFyUfifScqY4gIOPEgwkqEXiZIMQ+2CiDnsVVds2IVxVGseknGWq38tgzA72bJ+u8udok4AOAkdBJxoNBeTKhj5caEgl+TyVL2/HlR3k+OzGSyVAY987Ar83u/uP347MdaueCdf2iw/4G/6iTifYH9o2WWZDMpV4kFyyqzZfY8DW1oVaCY5N5qyOd+01nHcRU75g1Zv374DW/J/j9B2Q9zPFAccI4qmovfPtIWz1b3tsqA4uTNCbdmxW1QMW+stzA54GJCblc40mUqCxd9Kiw9fmur+d/6C1SGFqN5hNnak3uellUYQ/U8u4rfdJrKdktW9g6LHy5f9P4VqiEYIgKuB+eDwVzlYBU096A7zCW5kgYi2Z2T1f3LeA2ATs57/bmZGOXmM4TYnKme44TuUnzsjs6zQavhFz89HvhH+YeTSYlOPvXL9wIAfvu0jEitVw4Nd64WAk7a4U6wOvqHWQwGbUk9whSzOmF+EbSnnjmhJ8YaMff6i+UBoFgEGUDuXikz1aIQ62LvOSmVkFfn8Gzy+ezO6DYZ7A97/k1GE9ZfuBj4M7nI7+4VYiWCaTADe21ddIf1G/fZEHLtQGGrMYH+uYd8G8nBqBcuvpBKvaxu65MdgVEZ4OJOjwWZpugXPz2+zwpFcNBLgFX/JP8MMqpbk04dBCc/uUcvMqM1Q9XcPbWJMj6u0OIEGRCXiQXGbooQ5ifCy/u/JwRpzXihqMxXStZRe+TGYoDH+sB6XfZBIXrhsrb80O1uFxBvcZA6jXnM0zYgKctU2baZg04GI3SYSgNjmGapLJpGCK9Cbha//tFsrO2ynYynpcjONQsgPSp8z8MQEPCmiIEXF2MM3aurF8yngiZ+Mwqm47VZ8oXFWcyTo0Sp9hp8Ga/BlwAUisw7fyycbaotNvrkXmjqtllWgicA+KFcozyNWn9lUfOyd3wVAPB3+BAAYKW2maN8jvNn1UySTXv22BTXWS9NPTXK+BQMCzxiXzYeBxEinnrO0G6e9pu6vSYAPLfiOw3SbSjqreX7Niyufu98c63sKV8W/E7teWqNJtQYqjo8aKHCuVlCvBnClBPwND0dSXJBiZyWBfZW/DLQ5mkkoHoLJqDfilYoArVp7nZPE1nGvbvg0SeIoWze6RwMevLRxlQGr9b21xFTX4tOd/YQcuvE5ZK21c1+g9nbcrxFty6aDE/sYRy+vNlwmZv0PePpuoayeB1hz7apF/ODqHpyUZn453WJXC/8EPGzKOea//XE8hxt6po72rldZpxpZq8kZR5HwZHT8utlwP3XZjuNXY7NLu6yd5Zp6+oFaAJTTsDrwwtR6XHXFrHANxFoiQYVT0KT3/iuzE/9bR8/O8/+RNEe3vK0Ki+JBHlXbu6nviazKT8ZP5B3/S6/96OD/wgA8JnWu7IL2r5YuOuL/yYzRXzyP2Qa8t+cq71eZgpGnN8cH5oD5zWrI/Hia1BrpftILGpeLf9qm94FZrU/3yt7G6aeu+91sIZnF2ijP5YhJf18p5WB2yBXoyg4dutd3c8CbndmHDvy/tE5hZ6JdOFyZEYKvcD8fTjIDikBD7nCAuVWUI+r0O66g3FeOOddZ+VE/MdJ5njDajw6oWOefC9LLpU8J6mBfZ3UjTvEfeT/96Nwse4XImb5h1s+VFy7lO1znqSerDAWpyYWu8ZuOz2ripkS/7sOxlF8v/aG/G8nL1Cd2/YwFe09jm4lJMeUXhTtWQChsuoE7wrRBU9UyLruhWxCVmD+LkfHKYf3H55x3DvvnIlitrJohmd4fPmiNYaUgMegB28Zd1nmL/OpastEmbFHl+6T9LOSHlLcOuevzvKL7hXTXuPZKKK4HVNcPvw1WVCFT8q50rs/UliqXLj9nwJQ8mwOHh3RcJXZ0g8cIVt7byLEdk2Wcy0T6ExPbirxWI722qR53DqTR82+nLgwj1YKCsElc07Pw8NV9fLdspXRAgXhYOx23Q6sWxOHZ/eDskxTHfTDHW+Bv2OyylMvwmQd67MxFMFd5HvHpYxFKDhxQgLI7fLfJc65eaB3Fg9DQsBjXFtdJaflwvU77LbIWxSc6oTG6C3IFYrv+fwHAQAf2/cD3fkkbEahhZZZfzmQO0o8L/COqniaZw8t71spBHyljiBHbs/qGrwP92LLVFkom0KVVXEWwwlPeWwPL/ZEIR4nXZUgb4O/G9T3dd32RaHMLC8O2np5Ie/eulRW+OvlQp+WbENCwKuijEKiSgffg4IrFM6NHHisgZep37Wiad6BQlkp3B3lpmSSlXh6mSgWn4P/AgDc+QmlzaSse4KDjlxbFdvYsojJbasMKU8849W1zOJguX3NJbck1bb/hI29wnuag291picoMccrJOUZp+dJP96sdzk0Q7RefbreXHDJdetgUdaSapBmnFONfpSqoXbx2t3eq8oMmCiSWvdB2kGOnIe2HBcvMX1NhdcLhpaj8poAACAASURBVJiA13BddfN7neo5A1RUbh4OHP7la/N/R6XMj/2/v+vOu8heoOlaCVn8FQBO6JHnrG+jW/npEVgSNY9IxYhCQx6uXYifzD2LxyqsgtTSAj1v7Dj3zhYoC0vELQfuRUKc01mH2Pm5uwJYLSa/DcWGGQoCnqavQ5Kc1ztj4/DkZgZbUYi9SONLxm/vwpsBnAUUjiSKk3tjRkxP/XxmYaItSz5/eybzvhCZnHv9k1SQrDX9hDCNBSaOxd3Qz+wrqY09XbZMyozIefZrsxzzQjSREgGEo/J5U0O+TR+KwfnOg4/+RDhvHclyg8jcGQdkjS6T8RQYmItydl0f+mhfIKk2Q6yC6SZucsx7K6GMeUcdRtGOlXFgXMaGR5ipqmpLejcai3Q6FAQ8Q0gxVXdLFQtN2WdxEvvgxhOPzlfcf78wM8275m6HXWb1z7Q3ViEeg7kT6w8Qwp3bEwOdmvJQhU2eJereHvL7mpZcKBvQeDLAhc4ecBzbCnMBeWVx608k/TovXKaeY9twdebuSHNbRp+wWu3czpRYHJyQDI+gOTEu+EtU+tddHzCLIKzymv0xH93u/h4dqSMft45cUO+a69yLBMfzQELfpzRsiAg4EYtK2G91bSPrxUHeQXGHlmnVofvHoOC42Fm0XtHEdoGIMSRI4an4Tn7rKohr/A9RAyUG7f9CMaMUp1B2q2OxxOzrO139/fDALJsD3zvflJz4d6NVnjH4nKQfEIPhDcvlwjyTAoVTVUzcFIusN1PQzw5iG3zvTQvvXoUFgIGtdkVRXTqrcifPokgX+jAKG0ICTsQaLWYn7j1fgwLviiKSHxWUjF2it9BPz5J9IAGsljxU3LslEIO2JJYIN7zDq+QIsvO8wPfcznlhN2XrzjjU9CotJaXoL6CW78XmbYnnm5QmfnonYL0UvUMF+a4svsH+6a/yHP+ILHjXy9uyOFyj60VOfbmkNgKg/m3j0wAYl9nJLfRaMQe81NNqC3efyLd2HFbM+Cok0npWf80p67EMHSqDKBMrqU7cJK1ct7LwuehysWdslx1R3lBlXe8sIQwxAQe6uXFPe18Fsbjg8q61bZWnVan05TgBpz6x4KAveYKYKNCgILcQWYh8ELAaJUxFcxx6EHBzuRMAHv/Qvdh8f7ateMuiLBjVZxKt7v6FpLH2rBKZrYRJZikswXCJc4YBXnAoi+km564Du7uoM850O4061z0z5oouk+PIDn6hNQrjE8UUnRUxhAQ8pFizHHnINnkC9TqUnl3jyJuF8VBoSuiZlQsztrynqUgPiA73z5/6H/mltyzMQtZ9Yf4bAQB/cabixF5LgSorJdHwlMXL49v3wsOb0y8bIj7ZUJNit1aW8rCccw4o7uVHidkdlGdpkJ2GlCuDlSjqVhyc/WAsmG3Lise5Ybq5xR/ddeyClrebsyJXfMGpI8ej7KDSJZ3/Ayh2IPZ0GaAQnpcJFTEsKOOZ2+RiU8cEUHPXVXbpnqOQcbXfbLL0sPdOP1/h9QpDSMA9VB2wtoPsNhvoDqZTA08BjrkwCzBykQq4ffvxmWJrlx9K4JoNNOTXeyXT0YJH3/44bPcp69JVAjzVRGnBHzg6W+qTU2Wv/gHdjl+SNKaEiTk8NREgahaDRxnC5pGBsoGwBg3jnwEgvpD1G4HQ7vb1vLDzoUKwqwUodtlUeD8ukLcCpgkBJ/olIFvQHT/BOkkopCLH3KzsBulYU+cMu3/bG3jD3eg4cYjitOIAezz6o6xnf/SaLDDVj5ClHd7di+T7f6841sYxiqzNPMWyJfjeIulxk0CHEvcPJKVDzH+pbCta8sNaAWj5sDTKbkd1/PvPV+ooXgLGWl6mruXZaNlTJs5IyNIB8N3eeS32HS2T6oX1WebeZSaPhj0XUk9xyu4HSXjLkJQyi4MJGlUJTVqu9YLaseujASek/lRqakatrhmyg9JfmSTJ9sicwO9J0/SUJEk+DuAFAB5GJt35szRNa5+vXD6sbAhlYmkA4UA5JTwWxwGslDz7ZWVe88ciOtGKQbE+2XqtcN4dNp+h4+J646BjV2LVz4/IIp3lc7ct6c0qpwyiTZKu5ITRBxmQiLLiWlHHthlULPCKgYFysM6K8C1oZekfy/8Um2tLwT2Y1ykybzZr4RHb+hMxr1GN6bRbCdXV0x95i1bTiwPNbHX8Go5Vjl0uvqF6NMmnUsyq62EXnQj2Rl+n0FtU+bK3IjNcZi3/C8B70zSdSJLkYwDeC+A9zVUtBMvxlYE+Z9MLKUoE5OpldBd7IWzd0dFhAe/LVShcbYW7X3WhmI/8pcrXOPMUMxskvG2ijU/hceCxA6RlYr44S559WMZ6X33cc4osK9hH+pDbkjgAnd7oUwrrAu8phS3h52Krxyl/cyth5O/6ubmSp2ND8E1Jef6nt7OaDNi5y+96QXFpUStLWUXqKsbqMBVVOfK6BF+HJpaK0yqFnLg9Z3cyYqEkSbI3gOcD+CiQhcJL0/THKsu16Dh1cTLgdUos3GmdczY3ogiuw32PEKU1QkzWKIJMEQfFKwz/emqNVwNZ574JwNjP1EV7YvhGc13DBgPaiKKN6u8E4igjF5yLfNLK6SQvk0hfV79MEXAeEJxygreyZIEiOJzzp0ha6C4LUCzDk086Dl2gNQ/Hinfs2m3oRJUYPB5i9vTWjfzQEuU1idAudMTJE+NAQ05Xe6HzkJCKSOYV73mFMB9fb8lN+hAMMnqjJtIh/VGJHSZphD3kuSLKLjXnAHg3wrX6cxTLeweSJDkDwBkAsHjxYi9LTZSpOmMbjKDbwy62xfLCT4bgxBensoL24legIO60bPFk6Nzi07v6khKvz6Hkb10YR7dyhgsaZei6a7U4BvA5NNtGuj05ke3ArnmYxmMaetfB3RIHE0VKinDuJ/1Bj1COqWuB3CX/Gm5NONC8EAmDREtSEYsk8v8yuay50kvtYqFw77w+TPJiuw6PNlTdrYwBmF8UxV14v+foGvSkgkmSnAJgfZqm1ydJssy5/z5k1XS9DdI0PRfAuQCwdOnS1MtTDzEC3I/8ayM6CXcrS/aRa4z9fbQi2l+RlCKQb1R8JdGWlGvMXSTIh6KIaGcPWvAUuxXdehtBrJ29BVEUxLdlO5uTDvwJAOCfjy18zN95ubgr/qMQLip6td6WE4Oc93J1j+vFhtjkm28ys/F/4+StExc71i4etxvz6mD+3Tsvj0q7jk8WASa4cNAJScupOXbN4nBmq8jC09lVPP3SOEHefS9QjCsucE1x4CGvTKAzBIM1dx1R9/T15lGGuj0LwAuTJDkZmTpuXpIkX03T9FVJkrwW2eb1D9I0bZA4x4Is1cWDJgXqnejhYLVwSbsKMchbdVt3nkQGWUs9X8WJpxJi1iPWFGsURXuscu5Z2ED6U30s2HRGQxN8dLSg7fQiJk17ncr3VFkBvy/pWvah9h5lwCwSIYn5oiU6HEortYivD1xhxx3QTRRljN6m5u6IjL2JfulGFS67ggnhCIo1Zau6JkhvQG30JOBpmr4XmYISwoGfKcT7uciUlv8nTdM6Auaa0Eb3TXGaVlmmO0aucSt6h0rvRBxz5wBjJcyg+BmbTeqa5NmjqGLOTUSdYD4aWxA+M5L10cG0bN08nYTcE1HSU1dnjfnUOwqPhgufl0VfvP49wtlxodugiqQMnH5Uuk8oup4r7yKnp48A3VUo3OWnZ+nN/B4tRvKsHACfg7bmb56i0h4tF+PE+aEHOfml7voAeBLwX0valvRQDEABLniv9A9PW78AyL/xFkkpTpRd6p4v/G3++PpdRbS6SRPfuorE0R7PevOgbqwlS8QD4WcnBnOEI9Cffc1nkXn8/1eSJABwbZqmfxl/JI7+TQk1QgpO/Tu0gkZW17ko5nFKjqGVJcvk3+vhQDo1rcCx7jcHWNNrAdAR2eyC5sV+sMT1qO4sE7TFa0s6ibLrGtYjO5y3BZ+e/1YAwBuXqdOf3yqxaKhvoOh4jyJLrptmulwIziolDlgtXp55x3tE3ouhMsnYvcd99i/jhrE9XpyNxT0PLGL3zJVG21W4if3F8WtcKb/XyLjfLF5kd/9YCtyKBmS91lJHKj9Xdg3iN3DMJ6/In7gmsdGiBuGx6nlx6v8j2A0Fc7Z9LGN5VCLgaZouh0gZ0zT3Bx4CVHXwoYVBS1IrrwNyAruflrWhnPfUOwH8c6iOYq63EsA+QjVIYNgbunN3ku+5TQhKurxEBeqgDcxtZT83sWvLyGMJzZ3ubvLoe7yWmRHucIi0vXY+lTZuPyr1WeEosg7I+mWH8wZlq14X1nNQtxPl6jEiz/wcDCSYDvvMXYcc5wcdO42iDm7ZKR1pofDW3Q2DA9/Lsczqi950/UJl0EBiT7+FXO5jd3WDtgutor+wGHWeN3NET4PtUc8Z0GCaeWJaeHvCfkQFARnami3AqHJ9z7O0siRxjlVKG7SxXYJiQtxFjll3HTlmyiJDMUT0cyQw7RIVKGNH63m59sbDWzMC9cHFhQvBW/b5FwDAS8W08Nx/zrhrbC2+Z++/y775y8hiupzwp9cAANoXtvI8H3u7nEtKgnW1pJ9QFeDCvMmKJxzHlRHZCu8h6b3Fu4r+ts4AehEcc65ZxKyJBouny2Gt65Wj1D4i+zhKgp7tLDqk63AUdhdm5IJ/kY33h+WhXKfTdOiFA4Any0+xsrnm73QMIi8CZD+oI1qpkLcBh55pSsDrEEctB+ZE8k6RMVrzNX1OJnI5m5xQqnxVS1Jm0Stz13FsRF13YXLH/GYV8W8TK2JDvGqYwEwdYH24w/FEVUIcepwP+NjGPBTcJ0880syKaL2ukDxXSJsuUh6qDBHAAF604NHxzeghLIdsX/Z7CYWrpFDX3wuc+u26ZlUOONy447oMxYFD31yWpeTIyXB/v3h87R9mk+MJn3sAyaI6dhO9aEcTJNEyUMa9fhTdJ9jXxDQl4IQn47J2m3VDTRpZ8biWi3NkiTzupfLv5jKvc+zGNdqS2urTrneregEH+rfEq3GCyjavWyfRSmSuWCxY2TNQONzw2tasrn9/09l5lqsOy6j7XFlo939HFtt7w8OFkPcR2Zt/TeJ5b7gw0zKfn9umoaB55Lz5inF9olHotB+9E5N7DAe8lmINrRsILXotdIN9oZ1CCCuZ3GjyatyD7pOYmsclL3kFLmmJ0Jlj7gsqwwbrIRsxLlgu117Vf73StQmSjwgRTy+PZ+5CP4p9zwnOir5G+3xHOQwxAS8hU+qJcXQqJG1581W+PiKsXYTCD5XON4l0nKusEE7J6gbb1V/tYxTdQZFizho2tgU5uZbKE5BPJooTb0gxM4squAe5bH2t8h79axG1cadDKyqt6CQXyJOjaHq4gX2t47Hb05TGgQXL6lVZg4eNLHsIeHv2c/8nZu+980NPBQBc8IcZi/7avf4zf2w5j4yl1PBZz0QR274sBk9gOw+CoL1+8c5+ja+HmIB7iGmXrXlbVVB2ab0GFedKL8rdhfOmQ0ldJmgNMtMrKp900CsyYrTfbUt6rcrTtbOl5UQoKEsTEG6foqGWukVLDsrrKQvVFgkkEvxWGvKog4x+cuPzsx8Rd+MH5Pl/X5I5/vz7rm/ILtyihjRljG1J3aERcDhxYZWpOn4MX2JFTIqjToSo7iIpeQV9EG7K+pAYUV4eiuyor+l3S32u2gIcd1j3I01s4fNj4IiWpOwDLgCKSD5BxigXDRHpPPNPr8uz3N/TnCaEZwK4FN07HCLmmGMJeRnCHrPO0kcLDs4yaegIeDlTwhKRAzsQ0i7fgd4mhdehw9QOyObtE1DYGd+GgtjQIuAaU8yCg4ANbfkt11omz/7obVt+NDqJ+P5Qh+wuNClQTCJyTnpgsg05EEksPA58ECZZk4CnoOj+qyRdrfvaxpKJTbY5mJbhAK66Cd1E3ju02QYf05wJxwRXXBuLB6h6glUIXxX5ytFHiOD+bfLm3xV5lr06S//p2LcAAN796Uzxjbe+UpX0mUbqE0ZVJac+io3obwcwdAS8POyH140bbMuzEd9U2dtLHm1HXAkyQUjs2Y+6PHnFuT/IrCuOw5UAgE9xfwng3JvEKmMgVlUT6AzSY5SVNiTrXQD2kd90lLlP3QM6Yp3n6wmdachs6TZoS8p2YjfpuBfC2O6yJGPzHxzL2vbRvdWQbvDoqgJj8GW8VgRHwkZb8XlAKqKOMcsseBy9jZrpxa23c8DbRdCjkr523i62wQDVurwXS/odReTXSMrdo4gcef7rX+HzuX4jpirqjctQ7H7s0Xwx66w6BNU7ks2WO4pOL/BmGIFpTMA16nhQ9eqon6EztsOcom/WOtkZ4c7GddD91IfL/NvxKVzC2Kss5xhJN8skV2IIjLXlBzlLykc152WVaANy1dsRnXXzcB+KLgkRbi1iEouxreOyojDS4BOUUPH3CTrQ5g8dXTBkZRQLaOSNNzue7DMxE7c56Oto8r5BAmtjdzDdC0U7WU5e7/5uUL8BbKAvxXyJ3lmTIkvfHkRxogoL8AKJQHjhWzKv3RvvFbObs59XZEqXoztAW1nExC4RD+Oe4Dzsz0tzyAn4ZFbP2TZy/qc1VuXnIXN52gA1N0c7kpwgbUYhehF69Pp/kwhZn1Zl3lq9Gt3QK0pIcTva/ZNyWhJXbd44YvLwFWoO5YsepTQcv1rxWXtnMxOwDp3jnZy31e1oztlu4cfNdaDg+niNFhQ2nrvGAMRl+80vdmRAzqR/9bBM+//K2y4GACQ7PJpneeazMpnXT5dmtt7v3vHjAIDP/fKdnXqDUjgUxQJDxMJQ9MuJ23K1IlNz4jOagMdgt4ID+JQ0IKNIVDg8EuGnSkrlTL8Bqsj8H1Rc+hdk8j58Vi5QFr5BTzhSSMoqpzDIlLaIO9zco5jl1+oaP6MlKTlvG5JT/6aCtC3p3YbrBoCvs5xvm8waZcKLhsZYbDvcS6buvUejD9ftvkHO3FtYSHiEEv+bOozhbHSCduVLit3R/k+6FXce/1TUhsy7p/wyE0u99GmZ09eNLxMOnAT+IiCPcXEX50SFQFQubB+ELLsGT16nIQEf1MBlJ9yAonMD0QLSOzqJOPFr8z/nYy4+mNN5XVtXCCE6/R0y2m9BA7gHRRdr7z/rhGPjd29EbmIzbrbVLfn3JPU4RYxczAY1qnZFo8dRTW845mk5YkGyLEeun7UKfY9A1bUQKbD/k7Kt5P5X/gpHQaxPxIdo461ZHIWf49iu5z63+p0AgIdkaK7c2XIFVaC/yQZdA7rbrqpbPZC1cd1AWeUwDQm4RVNbQG0Tyka35niOORaJliXeZbABmchkLbDdX2R2Xeff98bsnph5TagxulRc5i5t7Zdd+CHvXKoK9eKPDAD7qN8h8a9mKPnbWuCoHUaXFRp3GFerPNzZcIGjCIZmcdrTMGf41pnU45i86I5EaHvNiRpz7Ihx1aH/9bUQl+4FKvPuDQpUfAqXLrvCHZZvyX0iGCbh2YuzgFP/gkz5vqtahfe7UmRrf9hfbZ6M2wEABx6ZOWndfpvMVUZIfOU2FMLz8yR1vKMrIbT798hq97U0dZjAihhSAl7mQNkYBsWl34QOIp6uQk6BSC/1Dp4EJFd6CuG4T3E9PebayCpg4qB4nmyL+N3APc8ygZXVHDfQqUhrm3JkyzynlaVfRSPedLOYbNi+jxEbuzDoyJfG1PRmNHL6224/zsbp8w/IDvjYtN8oHt4xc5S4fkn2gg2yC7hQvHBpqQUAtx95GA68QXvaDhJVHIE8D9/+MZQEPE1fhyQ5r3fGfrwnc2juiYSVYgOaEmpLBSF2aSAgUYpOIu5hQ/fvR5+XbR1/eMMyAMBz1dEym+dl8pU3I7N1vXSpHME+XuGQ38qwccdl4GnRDkUnlFXTEocMlja8sLHOvUhsbG4uWB+RdI33nRQF2J1GrE08LtuebBTzC6Dc17rSe+PPPh/jsstM6jKy736IQwNMz83Aw5sLfcBnn/R6AMB38UIAwFkiHP/RlS8CANx0/IG46fgs/+bjswFxqFiL3IqDAQAH19Dc337kYcBKE69+VBac8a+hEBlyrPQjLvH6tUwwuWYwlAR8csBP1yfWlwHFKqJl9GSyqdk+T1g59Dp0yg7K40YcoUQKsah2HgHqtbX2tuV9YG/0FyBuDRdxz/aZhIJ95y3mJPI2nohum9B3amJIyyT2WcwyZMzc8/KMo7HToPpGGRGPB+txKmNxfyGUuwFvwnn47MbX2Qcr4SJ1Vjo9NMmBX3xrxoFf/H5x3vnONhR11wrLJiJfx2TZveIu6WeaNdWdRgRcB3jvt9oj8J0wbLmam1uFKBIomauFd3K88X67LUufd2IRoP7cn2bOPOvEhntHPByvQ2VQIRXzDDODUpuCUfTekpQOOx0RVHtxjopYXEol73V+1lIYweCOnmkSWxCWWeu2sotOGVM1axUz7uSNWWFs63G/PN40/7yu7sgDUL1TXfxYlvzTiZmlFYm1PTTiBFyB6lgNjNsTjjai9w6+jn+Jhkf0H7ME3EMdkyrtYNHruTtQcF1cxc3Adol2SIHYQpWIVWdc+GUAwJv/NLN/XcbB+34xa3n/k4BDJJDKplA0Pb0I0dNvKkwLaZLJ+mgFMcNtWu41xgnao9z0xLATyRI/Leu3i6sOcEa0zHNczMl96v5mG7M+W8z/GqHvC8X6mcxwBuPotjjRCwQJoj1qT9pzUwX75o+Vz3oFTsjFK7mUMRdJsh80s2XFVDuj0w67F0JtHuPEgfg5ss1hGhBwb/tc1TSnbL6mGti6LWsiOm7yyPctyDr8r376yTzn5y98RwN1mY+CI7OTiu2it/N2wM81/6u4GteLFp1HyKX2QAmg8ACdQnv0GYM56D5PU+/qeI2nxK8y1z3YuaEXGruoNRSY6Z3m/zcUP999jMQ0kTMi/vTY/wAA7CoKlks2vrjIPIaaHuk7o/M77Df1IxPXZQ7WhHCwJQ8MnrlfjPBW/cRtiG95SIwblmHetQ743EJ8/vPvKBR8rSxZIbZQq7F/duE2dXbWprb8oKuw5xY/wABMaWwiAAVXxJgcdzt5mcfG+4hNABtzxFNM2v9FSzr3yOLWGHcGYha3SOpwX5GlaEp7uDFvaEG/tfKw8Di6Ottqtp93XN0gMQpfxGN3fh5zYLISm1H/eLExqE0tdwW6P+wYskrqugtSGZm4fl8n0nRZzfd2YhoQcL117Cdglf7UXvLYfj217MIyH8Uo4z2ZeCMiotEu8z3wvBO/jct++hLnjpbta8UN7U1JrGg+wrqsR0HkKSawIhjH7ThtgBubxQCwXNJQYCXvmjdPbJRCtfABiCvRK2IzgOegq8prkPk8HCuBv1vz2/m9248Qk958GFqxaNmF0Z4XYOmMbpuqYlurvG4W04CAA92Dy+OwLMH1HCB6fW6sw0nYdBjNfuIYSF1oO3segKfLb84L8c685jY590+L9i7mj3ZneY3DM8vjd1tu2uM8eI2yYZYXCxZlEeuXmGUJn2tlyfOEAJ1a5Dz8jKxev5Og7Ot/+8Tsxm1Sxh/p7+cuwnJvnkI8NFnLyMI9ImTzlNETTCZC7uXewmDm6gZ5RpuorkDhhOPg9h87TnV5PewOXf8OEd66ysXYItmEKCaOoSXg5W3BNbxOiK2UXkjaXivrfMTN0liOvd7whKN+ac2yzuv7OXkZwjNXHLadTFb0MiyEwSI0ZD0iyp2HyHJlA/LyM76U5/wc3gQgU44BwIcW/y0A4JYbnyE52qpcu2B7nngh7m3Y2nPCpMSI89uGWiY8+btOazI4tDxcAdx1bOby25aBvQPjUuhDQnjq0HcoTtL1rbNLiB0cQ+iFqaozT3MYWgLuI9YAoXseUY5ttezqTS6zjsxMn9RuOQBJdWRTO/54IK3mvAd+noBVYnrR7+xkjTmyhFzKtwV+z1R4hLzXxPe231QK27AAsTaMTfNeNsxlEJoTG+GbP9qxIIP6FmmPtxV37t6QiQLvfu4SvPTYr9Wo20J0tg3nI6+1zf914HH9sUW9OUwzAh6D3cLFiH3VwTqGTm7DDgJbnn53j84bbwOjrXgeHbqVQaTIgVAyQS5bv/ou7hSWS2pjuwCTPwQWojxX5OktqigH25JmeoYD78iUkN+87/Qiyx9kyTdvOg0AcMt1wnnnWXS5NCkNeKl2wI4Jmjt6Jm4WeixP9uJmD5IAus4MzCVUHhdvFxSm1gW/Oi7++SuLV7UlvURlSMS5LqWy2Yq85qFZObRHpCcjSqRfg8cA7JZ3ULGQD0JhsWC13kwVERuXd7Zly88t4ZNrvFqfkNMBTbxjcaet6aM34O1gZXmeHJoTl89oxdisErQ37Bi1h3CwfbU1ipXDh6KN6XvWeqQlqRDFXo5spaF1CmaXlvJ/jtW9gA/Lz/NknDK4207o0GWUhz02zjJ8ISuhqqRycjjxGUTAY/LvkMlPzI3eEpebUcgvWoFnGjAtnNgI7C2TUxNifsL3JKUhST5vVUTCuyyxnCxCWUbuGdsZhRY7DTsBvV1FK0vmCvGRqIY/k/77oDq8/QMSK/zin4o7Nts1PzDgqCJz3p7r0Ql7SoXGNnOvLtPA7+a7+YznTDQIHFQcZL3JWqdorjsWJIt5LGqKby5BYT272sug7dc1QqcwxeCJWaceM4iAE1WtTawYpK5N7jiyCd6Sa8JNj0q5494Wi8RHJt9EU8GpPKIG+DsPyz3bCTaKbpGBVfLMwGE07aBWpS7O2/aPPiqJYQusf4OITXRgtnxR01ZIdYmZfo7jiwvhRvN/C1gr19a2srTLC17rm6ogNO6bigvUzTym6Wl9lNeJ0jVLkmR7ZMY996RpekqSJPMBfBOFf/jL0zTdFC6hHzS93Y5Zm9iRMY5wxLo9Td6qsM0vE4N60/PVLQbNWsELq0wKxCPxaZSxtrHw8nuR+2w+TipOUk8LawMjeXJS9r/ldimffU6R9WXSEBzHzgAAIABJREFUjp/OLBZ+88TFAIArE32CRoYvveLlAIDdH80WvUUnZkef73hGFnfmIeyQ573l8yIf/+vLzLuruMlbUUUMzKNl0DYKo+XEPZPaQVrC9PpOi5gDTC8nqF7Ygmx82AMpTMCtrgWiKkLmgZPPmVdpqbcioxZsjbMA/CRN07OTJDlL/n9Pk5WrZ0oYg7cNqqOFX4dsUlkLEw0pL29hTVz3Rik8gs4zI916eKZcIRm1RsgzrYrj0xBgrnAznygunXpGduT5y7LztLDwwUzs8JL/zu4vOP6Zed6PSkzpk7f7AQDgQDmZY64QkzuVQ9Tav8xsxO//az7/i4Y+YpKwjxwWIm7qeB9Q7BjJCMzvTDn+JjYqmkzCZ7lXz0OzDqx1E+Uj+yK3BZ2wDmdE06KOXszZ1JkQAiUJeJIkewN4PoCPAmCAjhchP2wOX0Jm6tAoAR88rNs80CkmCA2Ofc31EhHw5h4GjFFObThOWqGwKjpEbVvSPFgVLzToBQcgW2D2QrebONC9yNlzET3lpY2t7nHeYtWxn7S5PV1nrc5rTRf7Owx28sF2sbFlYvAsqmwMFDvuRp3fIjfnWiQRGfBLlfVpJapTCXbnZa1bbH8CYUuOOjvGbejeOVsOPLarLLtb0e/xaMBgxYtlSz8HwLvROQsXpmm6FgDSNF2bJMme3oNJkpwB4AwAWLx4cR9VrYOYaU/V7aSOAcHVPyZzk0Eyxkl0eflXrYYTwthaC5DQ7o74ANLPxu7Z7qti7lcz9MBu8m7GweDBEDwWTUs8dpTy9xjtzPtsSU/JDx7Nueebxc11bOds2LaObwMAlud8B/Djd2WHDRz48cxqaHs8AgC4TpSXq353cFGHtzIGDYN2kROnMb+eTlbEEQvjOgTWOJ+TxfRN8j8PLJnwFLR2kbYiC/09eofXj45nG7qVx7ZeUO+wDEPV8RnS93jenfYZYvC6oZ5vSJLkFADr0zS9PkmSZVVfkKbpuQDOBYClS5cGI2YPFnoF70W4tQyxF7e0DmG71vnItnt876EoJj4HmVg4kFjrk3o4Nho/xNdGGSQny++IbYPZLmab3fG81SH0wSkvQcC6YKbD40AJa/lhnas0Wp33qIT8lZT0vExlNX72bsUj+QzV5ol1vcdsnbQXc0wuHyJLrFMVYqzby4oHQ/8DnXO/rPhj8h3SyiwRzwLwwiRJTkZmfTkvSZKvAliXJMki4b4XwV8ehwh1GtfGhnaUdtTSp3ZLez9q4z4UhDufUNRseuZitl7WDniyB9Youk+mcUCx0CZyeZ78XXY5Y5LeL99oj2i7sYjQ+JVbXp/9aMuFlqR00f6OKl5C4d6+NIutcexpPwcArLrpiOyGXlRz4x6uuFa0pONMkwB4IimLEHPhcX2MocDdX1P22TF43DfQfSSZnS8xf4Mt6M/0kZ1hFwL7Hs0B6PlQZREYQdGfLFfvTj2HpsmxzOr5ljRN3wvgvQAgHPiZaZq+KkmSjwN4LYCzJf2/A6xnA+jFgW9B9+QIwZVxoNNiRXeqJaxmMm9Wt9eiJDQ34yGkzGFdGCfkSHPd+/YyHNjAffzjuBuldcPTF95uzxJNHcCLBFKeu0bytLO+Hj9JOG8dziFnSDg+DkAn9Jhr965yFHrMaLl0aLGbcPISvUiZZSQ0Zx0Lk2HD4pYVd03AZ0iaRT8lnw3gP5Mk+QsAvwXwx81UaSphFU3WZV53nnDcadWOdaCPKWM5ueyR5f9GUs05WKJJDtALUF9WCdRrYZgH37zNLpD21BP9P+tHLirGgXNRpbee5Fk72pkCwEq+29jBr5Hr72Nb6jaUb/hmxoHfeprIvHeS21errI9j9YQgTsRMIwkb8MzqZcoQDW+a8p0slzs+Oqbp9h7E+ZsPotCbsI/EQqSLSdL6FfttluGpazliF7CYMxjfXWeXbBmdLQgyZg7S9I013hlGJQKepulySGCNNE3vRx5JYjJQxRbcc+YJcd5VZHxeHUJmiPPR7fFlvT43qrxNwHrI6TYg98Z3tSRlHdtOOZb42G9sI+yVOgywY8A6JAG5COKSjIDfvEXi+46I7Ope5cmi9VrTKv6WkR2/Qv6leIh0ZxUKCxXCMqePOPoPKqFXHwaM3YT+4AX7CoUPCMWgidGJMguEJ7qyc8GWMxgzwV4Yehe65m3BY7CaZ2/LerdzrSoYX2KdSvkuy+0zjxcze1BbtLYpd3fzvybkNioeuV8rM9TyzlUmL2HlmPrdNjqkF+cjxnU1jDkAJljPlqRtlcEupqFdTZm+47dqjpEc9s4m5XWOJ3UIA1/FgGhjaN7Ef+5hwJg117OWU0Cxe7OKyVF1vY75IMuwY4kiT90P1sywDkJKZY3BEfehJ+D10Yu41R0cVmRiif48dLsGN2kmNh85wRiRd+bjI2aHarl8KncGUUcPvUQzGrFhWSb4kC3H5nXMI9NsURm/IDOn2+FVWR8+vEAtJpQQSNiUXHfxKyGWq0g02ygIaNu8yCruppiV34bi4ISWut6W9BqT34YD2kndIyf+e/n2bZKuuAP1sQ3FfHqBugYUjICNOgj1jPZt0AiFmwjBWvtMDcdtMYMJeBVYQu4Eu7FGBaWhbaSfYu4tRDdHyXeXkYP2g5hVi+VgrZhIy76tfJULBcv1ZN82QuEsMlgulHbmXAy46OqF0NNHABiRE2t0QLTLM7HQ05+UWdrcuiWT9+9zWqaE+d2Dmafp1hsXZPnPrlj9EBaJIlQr6PPAWPw2Kks5NvitreKZF6PTgqg05qryl0valNfo1GIGEfBBxOO9CfnkWSApzdlIuBao7Nzh5mdF9jMwKMvT2zypw9w5ne/OT9zhJNbdajmGpgJmlcE6U5eQ16tdIHZXebhyhuTZXmS5UKhQz9yL7xTZrXDge74l4+rG3l8sQA8se0JnlXgc3jGSkiFc1yqKXy2/aemRMpM9IFkVOFf8A86Sy5RLXyT9f5GKPDlInIXC/4z1/6Gk3H14jGhLUtJmxrPnp89FfQOWFwMYk369nMeqcUyzTRciZySWiIPSnXIrtU5nVSMTDgfnTcwgAl4H9vM9u+mQo04AuwLYRMIhBHWB2LdtaMv1NopRTtmltSPvhzvVSlxLuLnKeN9qxU62fTjw16HbvMxy1/0sFI8Jm8D62O0Fxe9NdtzI/7SQWZMxGvumha3gSUKVPzLv/QCA8+X0is07ZzKQrZopaUnalvRNAD7bR91tudyUkvf4vjBGOe9D8ct84Dscu2SiNqI4ZKMKLGPU8UIMG5GOYZoS8EFXe2P3bwbP4ZmTuo9Jax7p5502hrcemKOdlxjU/lu8z0GuB2E/ljVVwPpakYx17gCKRrNiF17XYgDr2WktEaypJxBWYrKO1rQRKBZQqa+YdN79TVF6PaCysnq03uCn0oufXOmuKHCSSdvSiaskJXd6unqG/ftfkv6bpKTBHd651omrDweysngTiu7giTjaX4YxurkQWD2fjrHGcAmLUMEHQkM7MglH/moZI1/R9VpuKtGv2GQ4iPw0I+B1quuZFIbELHUCvaOYcHRV3iQD6AWS8rTtuS1gjQycXKZOguQRl5IYOQCYuA5xuZ4VK3jxKuz/JG6s4+6ojo2YfoGnZhCE4TgYt+aXjkUmA3/u2uUAgIWLMqXu9aLNXL9SMv5KlcPFiiIVLkhN+m8tQkH07+KYocKZSsc56Hb6HlF5Q6fVh1BFKemZOJZHmr658jO9MM0IeJmgTJ5IoAqsG7D8T2ebpSprq0bxBIsnB3avsPGppJqJ5ALBQ44ph5y4QX7o7WBTOgBdAeGGE0WI8zCj1rQw5urPycVy2izEeScRmmA2Lov+bZx/8smvxwa3TfIM+4FhaVl8cYB94dSTf6Jd8J1QC/z5VEkZtlxCuu57csZW76O8ua7+qWT6oFwY5w4rdBIOULSPUNTd5nVcvuzIl+Q5F9xwfx5qtzlY5SOADdaEUhx6Noj4jW2+DMWuhsHJvt5CPUH5TRnn3QEv4mG/1iRlRZyDDcU8LQj44GzBNTda0nZ4BQrlFQegMQDo9KxEJ+O6puR7YlVaRWVNLLhPzNNP39e/e9hRp20gaQXKaxrW7j3k7abrKkQrkWuHSLq3XNf9RDHyIZllxqIntQEAa/9fK7v+VXHguUy/a7mkIft1JxzBuFxbIQvFClnEvo8pwatv+CIA4CK8DPssukuqcjIA4M5vyyrDRes+9SA/jebUNB/k4do54W6rh7ahOkes0ULRtuS6q+6Sq/oETC/LqGlBwDsRqrJ2xS0TcbDsykgCqOXiFUUCi1DIRakNL3N2EUOmknu7NpSxTjhXyr5jxJ8u0KrNWybrGnuohcNNz211PjshP26TNPVMGqfXRKqM7MwJ/GbvTIv3m9XKxPQ0SSfYLiSOHIuWY9D3JFY95eRUct6VlfGVI1+fP/GVV8lvyp4vltRau9byi2L/ac9MikNkR7dZxs7XNVEOuf3X1dXomCf6PaHxNadEnuHBNCTgHixXVvYUjbKEbyM6ZNSrhYCz9UhoT5GU807Hs9aKrSo4GsAe8vtGXuT3lbGQ4bd6ViGT4LFIHI6ivbhdziMtUtauJ2/ImsULU9vKEppXUuT03CzZ5W3ZC9+zc2HY/AsJ5btCZGJrbxdhMY+so3Iu57qBggBZjtu6Xnt22lychHv/ipgKjsh3/FA9kovG1pl0EDFNHFxm/n+v+s1Y7ezD3FiIdbasOlCMQWrhQ4Sx1/dpIu6FsLDzvl9Py15Mni138mMsTEMCHovhOwhwMq4EcES5R56LonokBC11DygsDDgRdE+QYB+NhhCKacwBahWoHIRtSRXHR9k3iSTFQ3c6MTKYt7Sll6dwnkUBL6IekC3kQvxGhKLm3W28FVcqLpTKyrzPjLiD/UZa3FRs9lGpa07rOMf0C6gdpejEmqkC9cUjsQBiIZSlM1UiJPaPGTBb9HFmdvXrx43eUUix48dlEN0rA5FmU5QLPhfVQdp1AApiT06eVizjbfkR4yys56YdrHW4hJ+hiN9iQNPJXCTkaOqvsiaSrFNLUj0p7TV+D1k96Y9R1S+0XCChoQhAdkBbz8ky/O3e6uBMOzRIO9iXOXFzZOxdCrDQAQy67a0CUg73OJ/tSoJ1Q/FIXq61/iE3bw/lGDC0R/zN9iYVQ9QPtCTVXDXnT1NkJyRSsfSgaff3XvWfPLI6Awh4DE1wdFvQc2u3B4C164DbRKRxG7JD6IDusKSnS0rxSuMnznAC2e/W9l69BjIJgiLajIJJItmW9E7MYpgQlJvbXZVedHiNY+d5WcLwuV+X9NfqEW3T7Ynka0GfgmM57tAZoBp1RIK9vIP7wWAtUIBpTcA1cW7yM7xBEDCRW0vCLjLKVeuAg0p6br4MOOQ1/wMAuOWGZwAAdnlKJk/ZdedMA3X364Va5gY4nGCeWdQg5Nk/A44TIk7ZJxeitqS5nJ8XtPyXSlASEyv+siabGgtNHrOIeo9Qccc6kQAxfsYKlfdvJW2ZqrWZIRZJL8Rx24BHnkmr5Rqp5Jtv8gF+9EcNUs4YMWaeAYZQuEe/j/12g8mkA4jxGymjsdZPdY9x0x6W/F+/L8SxV6UfdhHp/Xyavq7iO8phGhPwGJpcRT1wMnNQtotbjEj3PXOrJakwSIf8zf/08f5RFAPcEhq7fSzDBZit+Nx+TL8mCWNqPz8mclI6f9wohOF0uf9qSTUBp2h4uaS0xLjTZvAWb7sAWQLhEfDBc2PlEBMnGK59HU0gQ2UAxTdyoejnmDSNMXSGbg4pKC36nfN23oQU1qF6TS6mDQEvZwtuFZtlTQqBTi7Hdp6NEGgnYws9nQ7ayOzDD8n+veXvnoEvfOjPAABXHXkcgOJEdFpGFF7Rg+SygZxrGj2o49+scvxhw86SY7QxsVsohKUhomUXHf1CmbS5Mm5YCF+/sOOQ325D23oestbe3+oF+Mx16lmO1bZTbuh9TcKefqQPYWDdrPmo5br7IY7eYQye1UjoPWXH3SRacjmYNgS8HGKBoPrlyr0O9TTiwrldJMSQ2/kdUR8vniOE9EgVEMvKBG399MCypmxTO+i6iUYbBREXokQrF8YZubktPxyPP3skWyqE7Hxu0ZkqMQxtnlNLHG0beaFv7YQPxdeIEYEQ167H8DgmzXQQQPcxbQIqiamw/r3cH9dimZAzWNMLhBVXhazSvFN1qsDWO+RANlnWcD5mGAEnYpy3nVR6As0P5AlNxIisbu0quSfPjkmHfxi5GdUb2+cDAHa/IJMf7rpdJsS985PiuUMTQx2vpy/w++xOQmTtnKgPQXmTirVEF+cNc90JANZ12MVwBACaXtiCMDGxB4do8QV/Wz2DXRA4T47qvtZSdvVfR0PQC5UVt/SS+TctEi1LI4YX05yAewShaieXIfZ2EnhBo0jYaLeqD3KtCBLuZSqlTfhnW1l6mVUS2W+oYnXSBPRQslyYPcvQa28dqhbACqsMtkSqjFLO5lX9lrI8cvI2umFIXAZ0c3fWrNN7ppcHsYll0vF9lptlO3JxbUXKbwh/gsKcdTkvUsYX86C1C4enFK4D29YhTt/jxJtoK/udIfHMYDHNCHjdQxvK2nyXJXQh08IJIJEzCFO6s2mOVYjSuBCPr2TvvX9VK0tf3JQ9Fj3WrNjIEif+L/k6wpRqBRLLBMKyW2A26uBUYgKFInEVupVudixEbPFHJe/Hs2SHA+R4uU/IeKFepDG+IESGQuIJT4naJJo4HGZyPDKnGQEvg34a3brW244cQ/fE8My/qmAVsEJkJCtack1xn/tJ+R/moL3J5Il5lzUJEgepD8+KzGXy6l7XFthujblweIOc5dFTxJ7pyTL2RMGBhkIpkEP06kUOl3UYC+T1dAxWhBGykPCeCYHesPs6z3IxteXaHQ3HwCvVszeYtAdGl5XL1/E+rQuyOwrLAetg4Pr/phFq735JXugQmKbfUw4zkICHUMakq45yjxNeOjK114GCWHhBdfpFSITjwU4aE/FvTN+j9589MWiYEFNaA90RDbc596jgbHVenmDedSY/UIg5rHXSMAc/smIsWrCIB2Ui/+vwDXtkg/lhehy35XpOGzealN9fJ258GZSJedQESSujfC7/rjR9Y+9MNTFNCbjnCm8/pQ5HHHO9J/q14BhFMeD5Pk6qVSqV71ujvdNQXA9aJ+yJOBGPYQzdHChTcojtLNlgtf9AeDdgIxZq/YC1vgg5XXjc3rAjRtBDnBy/nzueNroPNbYL128k9cIdiEgvb3Pj6n6clH01GsT9KBb+0JziuIoRSzvmhw0xGjM5CvtpSsCroGlnipB5EicZifMBKIjhckmbNN+zXL1GSIQR4mDuQX1ztX7DFejzDXUaItReSFC7o7A2yCQEOo63FYW1syRvIvanJ0KhoxMJZ4hQl+mbHjHYJwvPlvRlkj4dwH0SE/39ci03M29Lai1ddH9Y88x+RZu6/KknnBmm3lFrWhHwNH0jkuQL5mqvT6gSvMl2/hx0R+qrOtHWoehcctMMKOJxGFtM3rKhRNejuuWLbpcHzTUrZ11l/vdgdwfWxDJkijiLbnAB0W1ldyV2sWMfSR++eFmR9VIRkewhKSPrUtUghPugo7IoXqv+TiJvPr9arcMIWWl4IXntLmyqzE/LBL3TeTWGxAolSZKdAFyJzBVlBMBFaZp+IEmSwwH8K7JwTRMA/ipN018MsrLV0M/apK1MrPbeyrFl0ozSjna+mmeepUZZLJOUijrjrNKhzCPsQhGaAINet63ZpVUIeodj9IprU+bUIfu9bAcSQ2XrTE6TpypdLukqlsH3UUbOfgCASyWtwnkTIY9MY0bJfp0rBHdHIA8yRTNTrENR8QHhaM+ckXW0zI3dCQFhk8smLTzKlFV3zA+zXqPcVz0E4MQ0TbcmSTIHwNVJklwG4EMAPpim6WVJkpwM4J9QUJ1pij4I2/h1GRHfBuAYuXZNaGBRvqmJkueMUQaxwD/WkcaKUvS7QnGX7cKh28ibsPr6LAaPk1D0ldk1nST//rXKLmdxdkQ+APDZo7JgS+97+CPZhQ97uyWGSBjkQdWeV+tkE9Em3jckZoRpmqYoHMLnyF8qf2RTHw/gd4OoYBhsIO8T6rrNkxiW4aBsjOsar9OgFQAV+B+V9F5RTH1Y/p/4mvx4pnq4LWkZS5R+4cRH72k2aPtjG4rFg3W1XrAhJd945Brf15JU2m6plK2NAWhtQYLWtnUPnb5jf+s8FiGrH12GdcmmnF7GIJvpKFqNoPi818nO4teSUjLHk5v2Rrc5f2PYiN4LtWclFJpb21BfDzBVXLLH1ACDD6ZXoBTLmSTJ9gCuRzZEPpem6XVJkrwNwI+SJPkEgO0AHBt49gwAZwDA4sWLG6l0edRx4a4qb1MEZUIm/YhMKB6XlRfpbPn3k7ztiq/F5ShYLEv8ygbw0nWxOwAr657q+CkVkMiJxVwMSRPfpPLwUI6uUAGkglxY9kU3ppHqaG/kzMCBf1OcT8nAaS+WWLub5My/B07i+YA2RIIXzyEUVrcudDhYr6wQwRwEmjBRHJJ44GmaPgLg8CRJdgXwnSRJDkFGlN+epunFSZK8HMC/o6Ao+tlzAZwLAEuXLk3t/f6hPQ6bdJEtE66yZgcdoRx1VspEGRECSfnmG+T62+U6Awm5nGBV07peil2vPM+8LxQzxi5UVgYOdMtPLddO6ktnHP1ey7VSJHUkhgP2WzxLk3kmtSaYxqX+clq8UCYPYA9ZuMWC5NXHfhEAsMOxDwMAzl93OgBgnxdmgW1Oxg/yR4/DlQCA6xn5shGEdBKxsVY2+FTTiswmFoPeZsdp+o4+yq9fAxdpmm5OkmQ5skPDXgvgrXLrW1DHDgwfmo4YZgmVwY3+5ZwwrrwJOKJuzO15KDjutrlH7jk0OGOctw3xGkK/ZoMhWCLXlpT10rFR9jKpiBfE6g2pPLuBdtM2FK6GjT1Cdp3KYb5Df7ON62HrzjJ3Ntd1GexDikZ0KNjJw9Ml2PdLbxXifpUlupR764iWoZ2tR7j75UInWwFv3xOLhTP1KGOFsgeAbUK8R5Fx2R9DJvP+P8iMnE9E54l50xhNasuJQ9Xvdpb8nv/LFn5C51H4lOTvsGFuEiHHGcLb3ZTd8Xicty1jVuGZgU441uU9Iso4W56Rw0NWi/jnmi+fAADY7o/+FwCwRE6p2F22dwfj1ryI99Ke8BResfbb/WIbfCJcZofLvESTXPjMsEop8xWLAHxJ5ODbAfjPNE2/lyTJZgCfTpJkBBk5OmOA9czh24KXxQjqDQLqbnt1nnB6Y8ItkhHrK/CaduW2W1R78K/dfscsRwYdOwXoPsh3BN1cql1A2pKynpl1BE5QhJ6n3V8v6SZpo5TEjQ1uxRKeZUNoobbmonoxaslvimxaJi8XW34/xUB67BkT0xHZkU0skwuUV4filA+6/6wVit2haRGYHeAh00GiLvH0xrFX/iAxmXL43ihjhXITgCOc61cj89eaBiDxrRJciPd3jubyIYRkXOSVI/MK08KrpNx8v8LJTc6LE9SGU60LTjxraliWEGhCZ7mykBLL2oHPohMNtMuIcpv/apYce3K2m1v/mkz887f4EABgOTKO/P1r/hkAkFymVFFnSTpmPWEJL957v4gRwZAivomdWhXrEJ236einzWGGz7AmPs9z6gm9h5YLdcLCbkHGyZCr0zGsrVIxJPaIhd1sGt422AZ1Ivem26MtqRUJMe+yLGGMDpr5bVVZfygp9ZybyHmzzUJWOZ4C1oqDbPTDWAAyuwjy/eSu7TMe4ZB2mNjbXLdxsztj1Dxz25V5zoexAwBgM3YDAHwRr8fr8UXnXQZn9c7SDX00GlCdGIbu98NF1/WWLAsvCFrdOjSLGU7AqyjcPIVf2U6ZQGcny0Se+Fnx+ypjjjZhJ0IT8r0tJtVg/UKcfSg4mNcGM3zYzAB8Ea/H93EyAOAN+DcAwAf3e092M3fs0WIc9rONLGgXp1Bckn7HRC+nM5jrHpqUkQ+XrDuEGToT62x7PGJv5aRWKRfq5NCBDxqr5XkbelNzptbUzhJmG6+kSbA9vG8MBZGyE8hbUKxsVdzb6WzzJ3K5JWlbPXqJpDS13EfS1dy1UAxl48fY8AO6zmx/Wp1wF2XjubAimujRyoW25DauBxHbCRC0QrFjTEQlS+S6SNx+8S5lTijtsMtbMm79U3g7AKAldT4fpwMAzk1oNFZmfFZFlfAB1gmvKYOBqsyajsdSN+yFdVabXJI6wwh4jOMOhZut0wQx8zyCE5/EhUqp0AncVaEPlyC8ba0lKiHia22XJ0PJGcFFki5X1+6T1BrsLBJitHVZlo4xPogVZWkiIwtGIgRSHsUV9qi10AEPQPhMR0uIlgSuN+AmuU/vLD40EddxXkLBzKy7vs3voR+CXNdKSce/8ZyPQlgI3xY95BHsiTYnHzOEgNe1Ny37+TZqYOi5cYTNrw7LnHUmvi3/Wyccz0HITpqynEodmaIt03MYCil0uVOw9VQE9DixsrjGFPlHkkqcpsK88rEA79APEvtWltDBy24ELpb0H4sSVj16MADgP7b7cwDAi/7mR5KHZVNzTgLVNv+Pon95tEYvRWQZJqofHw7uUtrmeijErbZ171UvIFsAw+GA0/QlPWvYL2YIAa+DOp8eir+iB71RMI6ECLpFbOLYrXed3cNUhOhchXwSnS6XdpGUHtstSUnYhebgLnLCjpx2pZRJyx42T84Qi0PwbvLvJk5ktauYm/XLnlt+CwD4tPik/ckemWs5NiyXjHd3P5vDEhebEiFuPhYbhXoU4ZJXjjq2YIOCN56tyCUU58aWA3TGaa/iz+C1j50L1mqL9dTMT9WgMLHdsfWc3dn8P7mYlgS8P1twPVG8QPT6/16I2ZWvz+4zPso+MsDuovmXndRQ9bG2x2XFGbH6eEQDKL7Veg/qulEM9F1J2U4hOeqS4mdtj9NBQPeau4ZlAAAgAElEQVT5NMRKFOFvv54lpx71DQDAPrgrz/aiPWQV3GC9bLeY/23YXQ1rCjoH1douFokztJO012M7zariJ61rColFvB2m1UOFMDWxgqYlAe+Ed2KKhjcYyhLoXgPMgxe9LoZ56JSlHYru02na5r2DHCwPoprtu5YzC+Feqtrn1ZIeLilH3HJJL5B0DSckTxiwx86hu173CWdNU/pcRCCL5U6ywCh9H54rbfe2bNzcIIvT/ZzgG+zpPXZB9MZOr22+DVvghWK1HGRLUtGdJLIQ/qtcFpp7yYmvyH5kHvF485aPB+pQBSHPs1F0jz1+857mf0+ha09fGkF9D2O2oVVUWysa1sMedlLWrl2POb2TCGEbJpNJmAEEvBcol9Zy8jJ2qTGEiNwcdMuDZYBulgk6yom6EBi3zjv9Kjal3LyOuh7Wa5Ndv0zStiqDk+OALDlO/t3xtCy9nHL8OvbuVTGo2CszE5+Z9y5gzCrXqMyzXHVLUktYNZG2+gyOJ47V22rXtSg3JBKMhXmgWS4Xm6qORvMR9mC2JpO9rM4sJo8bn0EzI6QwaaIxPRfeJj3F7Ak6ZBlJ4K1jivdN/a76LQRj2tJsbyedV6WjUp9T1TOMt71M0l1lEqyVtqShyF3L5Qc5bw92mMqiuNr8b60O+K61Soxzt4iwdsnuvf5D5wIALnsXFU4fldQSlTI6A5vX05UA3UqyVqRMaVvqDMiBX9Y2zy6X1CNkWuRVxVyujJUFBfM0vwy51c9DONSDlZXXGcuWww7J6DVR9hasMgg51k0+ZhABt/BcwO1ACWnFLUJcoEe07TUhLmN6kDTBafNddrCznrIIjArxyrl9++16O2+9D0MHNkwFxlEQB+5+SLjv784OqPwq0t+YEPkPZxzlZR+mTSLbx/ZfaGH2TM3K7vCmEgtRjD+z08pNXXlf22sa5WpX/HhtjtovQbPxXyzB1/esQ9wcVDsbdhuKfgoRZi+2yzDMiRlNwKtsvctwz2UndgirkcmI2+h2ZuFgYMxncoxUBnocSVOuu6zXHBST01herJJ3JVRmSkobZHqB6wMTaG2yi8TduET6gvbdd3GytDvf5fbZMBLCOrDf5oVosHJ7Ia6rhGCutXoR60TUct5lGRhr8dJLIViVWOmgZUvMPS+ksfUCte+NOcx50CdSWWJuFxw7t8p+qzcnJ3+czjACPgGfcNuVdBBOK7HT663dbVUcikzW6A0uDlArmxSqmn+aVfoM4EzDMwF8okeeFeTyKP/gZCsz+Pkx5LhtWAA74a1oCujm2FajEyHHpxgsx2mVXLGwBEAnkZH3URp0kM07SFhFqhfIyjIfTK1HsUUTxM3GHPKIMN+jI0VWibXejAIyTU9rpJxemEEEvM6xaZaQ17FU6QXt8WZlflYeyclAAbFdYGKOQmXBb94C7Cb1ovNMfswYdwJmUUpZX1Fo7SI7hZNUnrakDPm6Qk5ZuKBufR9LaHVfIued6wjsArSXSb2DOawojGXYAFp2geECaN9ZB5bLtqF3Y++x9aoaqfMohD1KQ+Fyx1Ge4WoqFEB1zAACPoLurVgoAE4vTsiT31VxxAHC8rQqoL2yLsOaZ3FyWasSghPf2pYP6jRxZER6manOtZJ22SSHzMc8j1R7z8b3ZhtwYluuWiNk+x/ajYW8YGOTlWwzRRMhhoEEVOLBLFBFMMtd/Ca+n9ynJxceFFgHb/5YRof14S6J9bWOWeOofwQey2AbSPtxHJygxvhVrFYd4tpC53iwIh47Jlqov8uuh2lLwKs785Qd6JbYV8XO6N5+W0Jjg/hwYJCL6usECAE5NuvAoyw1Ntn4HtaGtofH56p2ln4YwD6tmvWcRTOwYgW7wAMFIZZ+p1PQWiF49FxltzOEb/oL+WG5V731qoMb0C3e1BUg7MJBkVOr+ivnyqLJpsh1sXYXbn0xyjI+NerUB6YtAfcR2sr0Y10Skqd7z/QrPyNXqrl+y/FZJVYoFsMgtnN2kDu7DDKdFInm85ILx2p7w5TpwU5gEiWpz35ZIJXH33YvAOCBHbkQUhSkrVTs4shvYpkhz7vYTsyG6rXEk/VmvYRD30/KpLhptYyfuaPAQyy7bd5h7bEJKdPSb5p+rm2jeVymftt5wXa0u6XQDqcfL1m2jRBZnkm7SStnaQ0m7TQmfVPaIMwLjMXGtmefTh5mGAG3sINKB+e3FiChZ8rAbo0tQkGwrPyNqCLrHkenGClk6aDrwVFLAhda+OwAtWgy8FEdiJnbsix5YEfW84cmn9endmfyoMkbCj3gge22UP0/ZJYzC1rFb9r10zv2XknzM7GtqaCNB+MRWrZXL2VmDAymZWHHNtvZxmm5A4VJpEbE23OM32bDC7QlJZOij7QbDhNCYMYS8BBBisVBtpxuyIFjEDJHvT2zMtd15npZjrEOLNEhQfS244TU6652lq5tZWl+YIVc75pEk6/wmVzMASDOQYvMLTbzGl5oSypjjmeqAiiiEsq/7AqaadoZTDpDDp7vItHWxJfOQEm/pi6jzm+Oab7vDnTCjiXr+s6dRkyf4eEOYBOJOJ9tS9pC99GFWvdRhWkaRUYL6OU9NZihBNxCE13LRVRdTb0gWCGF2CBg623FCp4TiXUJ9kLY6mfL1KHfbxxF587Bg11MW5Jycos883wSB+4oYlYKIfmqN6F1Gmob3Q7i3r2f1Os8ufweSTebokhkR1pZSnHH4wCsnkSikApRm7Dj2raBjbZow68uUc8+U9LV6O88TW1HzoajGz31PCTU5Kbp3v8g/LEQGrvjCOuBYK4PBxc+wwl4LE74RmRcgt0yhxx2mphQlljp/614gwTZnrBeFrFtfC8lZcjxQ8N+i5Q5YQmeVQI1YZL2GMCSOX6zs8u4GKw11/P2lp3ZmF202S+emaE3PpsgVHqHacuzY9GKbzgP9pL6VD1JaB2K72qbOniBqqrusLV+Y/LH9Awh4J4CJCR3Jqqa02klpXUgoBjDihx6DYpeipuNCJuLhb7LM8Nr0mGpDO5X77Lu+SEO13PGoDw1xB3fYf4nZ26Vnl4sG7uTsZxawEOPpn4Ui2gG0XYRjaS4oydjSMYxSCs8sQOvtSQVrlOfTj8QeP1CWGKsOe1Lzb2mRGbrUBB31qdt8thFqxfKkEFLLzxLsixPmtY1j6yOaU7A+5FHh8QHXpNUfU9o2+W5N4c4nH62nfYdlisu6whh5e1AOEATEYpLUuZds1x5ZUzcYC5YomVNRa2nqedlaU/IsGKDJsxcCat7svWzHrP6flUmzIqA7LzU81aLJMvOxSbmbDVMawKepm9GknwmcDckny7LCejOLEvse8nHem1JJ9A9cK3tayzQlBV9DIIghuJpWMIxz6RE6DuAbttbG642FKRIW38Aeb/MVX1Nn5kFnVlyufNTzf3/He3MR6UhvVZvkVRbqlGsQftpWnfkHq5M7bd7XoCALwKzymBLoHs5qzUBq6C0dbHQhC0UUK7OWN2IznnqhU7Q74C5H6qvZy1mwzFbTI0ic1oT8HoIKWh0p1eV++lQmRplBmdTxHYOwmKW+eZ/O4msAtTa8MIpexixDRidV4Sy/Yi61RKN4Q93zFISVxJwEuR7zP9sgjslTWFubAGOq+raPRUIOY/ZRcWDZQz6dXaLvcOGBLDzw35HPzL6kFeuZf70AlRVBj9YzCAC3sNrsCc2ontwhFy5Ye73krXZU3f0s3ZBsfbIIW5MbyWbHlQe9xyyYLEybh3/GQhOsET9Jne8TNKv2DjNtsxAWTv5tweOq2zYAstRWyI5Yq6XFUl4Ijgi1O72f922Te/Q2JF2zNoDIzSsuIZt2arxfr2DBcpZDvG5snJwlm/PwpwaBqdnrZMk2QnAlQB2lPwXpWn6Abn3ZmRBRCcAfD9N03cPsK4Ng+KM++HLenuhqmt+0zFIPHGMlemFxB38zpAb2hTIopcAeJ38Plra6nvy/91SbxtahLA6zCsk1Z7eTxHOO1cghmLFWJd0tpkVXXgxom2FYPLYBalu3J2mQFtmIH5U3M7mf7sYcJzRdJBei2OoHxOI7R0SU1r0K8JgJFMgzDTZ+TT1u9Iyy85DAE5M03RrkiRzAFydJMllyL7iRQAOS9P0oSRJqkRRn0LY1VZ3nE1DK3ivjos5DNl4xL0mtTcwm5rovWxePdhJzcEekj/ara+06RNUFhsy+jGL0MLpiSxC44tjg9ORljyyKCatLKUoiG2/mmF+uYD1E4xNYx66vRq9cWbHYCgAWBVYM+JQiOC682lb4PfkoScBT9M0RaGWmSN/KYA3Ajg7TdOHJN96v4TJAreEIVGKZxNe1+bT/q8HgFWQeDGLq8CzWQ25eVtO26aT7f1IN3+gyw55LZAT/fvkmpzPm4+2XLLAhYZExnLNktE6v+gmXzm/M2+OXhMvtKBaEVhsLFnRXC/0GmdHwY/N0SSUKdxurSw9RP6nopcxXNqSrtCxUYBuTrasqMJDyKEqZJxgnYyqEOlQn/Zy6pp8lGrNJEm2B3A9svX6c2maXpckyYEAjkuS5KPIdPNnpmn6P86zZwA4AwAWL17cWMW7UYVAhpR9D5r/LaGsQvCtHbTlRFlWKLiSnexVT4v3YJ1oPHtZuwDaCIr838rCrYKr37rOIg66v7ckJUFnf4jxObtjV0l5QLV4h77nqA8CAD72rg9kFz7Rluek3OeoV96CBoLtleG+Y89ZcVRZeDsKKwqxc666I1OavqR3pgZRioCnafoIgMOTJNkVwHeSJDlEnt0Nmc7/GQD+M0mSJwnHrp89F8C5ALB06dIUk4Z+VnsixE3TBXwbwk4DdRWLHlffi5MOWZcMWqa6OvLuEJfihA2dkO0+vQrzY8KatKvtFYvFWjWEGIIQkSmjPLMI9WNIZyFC/v1aWfoq9eg1QtDpnn8VmgWtctqqbDoz0aKn65DgkNdt3TAWGiGDA2sUQHi75DIYR2/91dS51VeicGmabk6SZDmA5yJTKX1bCPYvkiR5FNnm6r7Ga1kKvbTq2rU8JEqxWyQvX6zJ9Ds4eCkbtqt9L6uZOgvQNnQqpuzBr/zfU9KEbNvtwmSjtlXFEEbq64DWfwxzPXvgJ5LSbv0bktLiUYblx35AznubySBYLuk4F1Vl+L5W8ibL+qpqMfa8MRVS9PZjdTaKbqLrmRHzHZN5eEY1lLFC2QPANiHeo8h0+x9DJqk8EcByEafsABXzbLLgO/P08hYMIUTIx9FtsWEHXV25mLdYWE5svsljxTF10YtIeV6VZThQlq2v6+esXiBktRH6vn7i01Tpp1j7hBxnei3w3jN2h0ciyn4X7voYyU/rGjonPk1de3XGgr/tiZ8CAJxz4VnZ9Wvk/qmR6tVFStm35YotswKTr6lxrMsoW5bezZZV2FqiX9U5sHmU+dpFAL4kcvDtAPxnmqbfS5JkBwD/kSTJLQAeBvBaKz6ZeoQGkJWjheRqMWsSIiQnt8TJE8M0Db7LctqxAFIhM62mrBD0e6qaXoYmfi/CHZtQZds9tFvr9S4vf4hgT2HogH+V9LO8cLmkUsd86lhxyO7qf2vFpM0N+xk/tv+9sBMhD+vRGu+eh27x5Dbnml6Ah4MbL2OFchOAI5zrD6NTCjdEqNu42swoZN7X72rryctCsmvLeXsxVfpFKD5EKF8vWO7KE9NYxW0vh6mZCnuyuxwSbRXGfyb/sgussQdl0IcD+ERm737ObWf5eT8h6X6SprTsaUt6AP5/e+ce6llVxfHvau5Np8cwTWqNzdgdMypLKRvEnkiZmURPKiPQiBCDoggpZcIC/+lBBUUP7EEWkkVlRSU9RJECLVNnNNQc85o60y0Vc6xpmrHVH2ev+e27fnudvc/7/H6zP3A5v/Ped5991ll77bXWrob1rNbBblNaQOt2bU10koovkK12a/m0a6z3vSyoqj/mKBITmP76xoStFi4pdmfLVLDO2G9RJRJOBktDblnAtLavNe5Qmfru9qW42VU5pyoxs1qsPizXTanjUE9Nv9jaQ0fyWovJRE08LT7a17jlyyNFbIVlta7NObqN+fWmNV9rgLEqUm9LbrmC6fcnFF0JVPfe0iH92mNrXCJzXKWpjTXyHCMksC2NtK72GzLj6K+/FTGpr1GXMluu3h67V8zma9m1M435jt6gvD6u1tGlwLR3jTOB3KsFsmWf70JEhEwSPtr7RvaLUF1ZfXjUS6Rs1ipL2VlE+oSZw4nRORHgXWJFaQpWgh/95a7iU2rZ8LQHiG50ZRp3VxzA6p5PmZ3d+jjEIhBjH5UmNm8tsLTA03Wpc79YA5F+mfQxIohEQDgtVwyV4rMt2Q3vNYosZXnMrXJ1v+V0rCjKFOXJMpHV7QVqRUdryyuBctX5IO1BXIgPZz4BsgCHLZDrZjvzE0Hp9KjyEsT8ufsgFjyhXadi/t2a8Qz0HFrsxcTnPWRicNsO6Em99cdSlqLtdqGRW77a2uSh10Vg18lLnpoeQytRcW2c+cToMW0z5wI8FD6fep4Q0w61MK6jBWm/bS1ctVZv5ZUOla8pCwhnJbQ8K4Dp8umMc6kDpVU9dkIfGSuTofUBi3XvdRY6QV/frw8tLJ1boNi4ZXb4rW75FLf8pFs+4PleA8ABnU9H9/YEXwnpulcm/6PYzHUMwn5MfyS0W2zdHoRcZ1ldX/b59aSfe2qSOUsODBtWP2cCPDQwWLW7VrWhy/ErmM67re3nWuDWDQsWFlC8KGWZ5Cws7Vh7voyxieiPSJVnpo+1ztXdc/2stAudoOtLzwc55NjAUmCbeJ2IU7nWuEMfaGD641w11sJiLybxB3qAWAekPai21wm+ssyV+uPik2ob754xvp2VYf4wiD7X8CpVhYI/6XDVBxprxJb9zsoV3kbUoAgaPXCkX1QRaJLtzm/gukubGrVp7a878t9GGoWuWDtpLuvVru1q+92yQ3LgSn3qnoY8M0uBEEQ4nzrZtNkJZm1nb4yV+S90XFXzXBmLmBa+sYCiqu1sT+DcYRhrK+8Ay/2vKpJhz88jrruyXeFfPyb0xun2FMyFchDrpdD/i/XClwkLrVnG0JMzWNe2PIhCg3vu9x5nErnBeYTcIPslIZVkAqxrAqyDCH+xn1t1rtMI61xA1sB6G4N91rWt3lHV+5bVtdVzyyaUgahjKrF8geve29K09XFtatoaLXi0cLT8YEOat6Vxp2pj80zdCT32I25/1e1EB6X43hnAwbS8a0/0kl9ok1kd76kyYgOOC7DbiW8jr1qPKeNDsfWq1++PQ1iAp+ILLmvQ0IowbNq98s9PSbkJ2N3nth916MW2XoSYX3uqZ4B1fNn/ZmlOqULJytehZ6kRwXKCW4o2HRq4lW07sRqtzWrt30pJrAeaK3IwUZV5gPdb/m99P23ekf1Nx6Q0D8HWvLVvexPhOhtKRxbgU4S6rVWrSU815UeFxe7tn9floJd+0SzXRu358iAmg2FiD9cvb6Z/HoGdtlUPSLoPyF55pvLcbgxcV3tIabt7XfTHyDKfbcBq75EmWNewnA6EYX29y8hvnIkvyGP2Zj25QZ3GfUD9tjTu1Ox4beP7tYudVHdnrdwtUNu14EjtqWj3s7IgktgAVay+9L0s90Jxm/NmsFmFlPEet/SFgVxD99xEkOrISv1/Wq6cIZ/uKkIo5XloBSA2RmCVvQm6DILVLnxBXaUHYJk4fbPPMGQBHqTqQxGBqwcQdda5tgZSQ/fXWNfW21U04FTw0RhD4q1uORDvPaXWi762NgdJLmwnuA+Xot3pftyDSa6TMSCD7/IbmDxjSwD6hHy2gdVh700yEFpuiZbZyFeW5P+QHmEKvhC3BHSI8DHM76hw7/bIArwSscxmVa9V5u4W07y7cl/SA14+uqxi55UUo6KZy8cgpokLsax1mlmJ8LwH070zK9rQPyYUSenvL/NRBqbrTQdS6d7H01BOqqKxDnHzQ9nHtwkLmLTZ1F5rHcZlE59DAd5HsESqH3foYbchfKpcQ79A2s/bCtRYwnRmuq6wBl4te7ymTk/GEnL6mpYPsdP2ltzqQZ9tmdu7SvIzCUjxIyyb2pi7QEwGfu4bawBRaDotnhUMZ7nu+uaTqu1Ca/uWojEesTmekjSknWAeTZu+nlU/Kl1r3PI/aU17LaZfOsuMIF1WEVpijtH/q2ibdW3f80xo1iOgqCvd7iyvH93TSdUS5TmJxq8/5m3MSWqloe1DGKZG3c4ucyPA+0EL9LKu2iJWD071XdUiTPXLLZ4wWhisIN6VTkUL/NhAYsyNsMqLl2rztrBs6LoMrq7EenS35CvRHy/L9VS3Hd9GrbG0zy7iAnyseVxlKR/wkG+2NfBa11Zu5eCJ5bRpUj+xXtnwZAGeRKwRhGzZTV+stjQUqxfhv0TykolNOzWJlB7IGl8Xc/4JfaD0h8/yQIlp+Nb1LFJ7mesCx1of/dSYgaqUXWd22vH4SzhKQl4PVlh4VWJh5FYQkeVS1SXaJ1jKYPnBa2Iap75PFepq3rG8HCLkVDj8waAc7dGgPZBiSaC0O2mIWM/F/wB3OR6kTSzSDnRvxP8/uhY5bSlSoXJ2HRxXneFLMLf03c06gNVJtbR2vB/TqVC1v6zlNxubX3AstKGdWRqf/oBK9KI2J4yNMv9v+V+k3egJjAX9sdF1kTL5d1Wsj/j82bGbkAX44MQaZKrdTWdEFPtok1wWWnBrwX+C2i+aV0zg64jUJmHLwyYTmrDsltpNMDYDfZtanZUCuA+TgD/oqs0f2o0x1B67KltXysdiB9esThbgjUn1VGnLxCLohulr0ZY5QHuB6OCdoVjE6pfaMiNVEdYxH/JY+mAr86HU4f2rD58S1FZwSNvtoA1iQTSx4+vMjOMTqgOtcVuDl12R/tFjfm+3RSlhDK3nEMV6kaukSJXzYkFBFss1y+AmATjCdZv3uc17RLPWL7QOGddCrkkE37yiBUjIjpwayKO3W0vt7tkV2nQj+P+ztOu6njapCpXVW5kNsgBvja7yAy9i2sVMd99ij9EKGe464EnPLr7kllqDE1908Se3svH55yKwD5jufegkXWX5U/zjpHeiBx8t4Rbz1LA8e3S5LLMVvPW+XttY+9C9PyvcvWk7k/a+Vm3rgpgXzLiYKwE+CeYZeuoqn7qCPRTIU/dxPejur80FVuO0hKKby1Fs329yq1e55R7R4Mbd6GefmCeSJpb/RU9RpvO6p7qVxohpu1bgTZvCOjWJ2WwwVwJ8HDS1zYXOtwYhY4/PysncEj93y92ilWo/chXZR279cLdcUBr6HmeaOShAZFAUmNbOrTzdgpVF0MpFojV2EWriXbKitsds6FDHxXKi6+36I2uFee/HJDFT1+56sWCkUHASYAfdVM2SaJHidqqf63wQfcpEdDiAawEc5o7/ATN/3Nt/PoDPADiSmR8IXyUTp4mG7RPStK3Q9ZitVL+wTphRV91XzSasFuJNWcF0ylUR5FrAy/r96vhZoaw9aY1dPoo6jwuMdf/8phrrXky7MQpt1bnf/vWUd7OlcWtSamgfgFcx86NEtAjgt0R0JTNfR0SbAbwGwF87LeVckJKDWDemqpp3F/Z3/36u0W9yqwcnwtWJjQQlINit7nWh1/IheJI6HBu8qtCasQgZ0dJ1tj9tu2yr97Gs7iOkDoZZE2ZYZgStiVcNUIkFJLXFQuB3LMxdKxT+M2ozaEuXxy9X10FO/RAV4MzMAB51q4vuT17FzwP4CICfdFK6uaFvX2VrAEbbFHW5Bg6WkKGLVcWO2ektgRc7Tw/kanOTHKfzosdMH7HoUq0B9kWoXFW9gCz3VC2Qm7R3X9Gx8tIIofZd5d4izvzzy64/PpL6KES0BsAfARwH4EvMfD0RvQHA/cy8nYi6LOMhSMy00TaiUlsN+LnF4hXORi3vvRjM9sbyf0Ptd4gasAe2leeQp+2P6lp3rQMoHmQXMQCxj52gPwRtfwA0egJv/xygWl2Mo6EmSQRmfgzAC4loPYAriOhEANsAnB47l4jOBXAuABxzzDENiloFf0BnyNDbvjRv6z5a29QDeD3adRc2hbeb8kmEwL/VuvU8LU08dpwWIpaPunXdptkOYyYY34TSZZe/iRnDGswM5QyqQ8wcZAn+quNKVtSmLayZP1Dh+u1T6Q1m5oeJ6BoAbwSwBYBo35sA3EhEJzPz39Q5lwC4BAC2bt3K6JyxhFbXwWqobQnaU93SacwydqRt0Ie5pTiFvNAtRQZL3qYj3XLZlfdhd93/uO1tm6EPeUJjIlU1QetDFGtjTTXOKoqU5T5YZ9B0HJpyV6R4oRwJYL8T3msBnAbgU8x8lHfMMoCt4/RCKbNxjZ1ULwK9fYNadpyh8JNuKYJ9t1v6cxU8oJb/UMfIoxFrHKu5Jw+iexNWBrxYtKK+nq5Lq3tvnWcFEK1TS+0FEws80sRe2Ssi++sSuq82V/QhLMv+/7rZGy1iA87Dk6LabQRwqbODPw7A95n5Z90Wqz7MHwDRF2EH89QNza1C1YbStsfAQ8CWd00CH5/llse55ZJabi5i4TcevQsAsB4PAwCe4MwXa/AYAOAxrAEAPIz1AIC7/nJ8cf6tagxkIwoh/lTYE85kOuIMt7TSFmjTUCgJWgr70X0OHf2eVpl8OERqV3B2FL0UL5QdAF4UOWaprQJ1S9fmlbrXP4BwOlKddEpr1pKLWgJl3OpSzWIYXI9Xhnccq5adIHVq2NAzyRD9puUrbkC594//PqS4vrZla0sRwFXe1fFp3sKsRSe0RGzQrw4bSq4rdOO/zY1HFsTovaXphTIjhvm0zu9R9H7r4tv4LfNgCMvMVUbKuz5ewS3MuQCv6pumbcXdVQ/zuzu7diYzFG16ZRB9q+IZ2k0wZSrElOM04xGb4ylJ65QFBDSH+X2tXzOTyUxoquSkfwBiyb7GaxOfUwGeXuFD+3FmMpluqPMBIPp6+wXpEOLmBtT0mxH9A8A9DS9zBPAhctMAAAUpSURBVCbOaGNnVsqay9kuuZztkssJPJOZj9QbexXgbUBENzDz1qHLkcKslDWXs11yOdsll9PmcX3eLJPJZDLtkQV4JpPJzCizKMAvGboAFZiVsuZytksuZ7vkchrMnA08k8lkMgWzqIFnMplMBlmAZzKZzMwySgFORG8joj8R0f+IaKu3/TVE9EciusUtX2Wc/wkiup+IbnZ/Z/ZZTrfvQiLaSUR3ENFrjfM3ENGviehOt3xKF+UM3Pd7Xt0sE9HNxnHLrq5vJqIb+iibun/ScySiM1w97ySiCwYo52eI6HYi2kFEV7iJT0LHDVKfsfqhgi+4/TuI6KS+yuaVYTMRXU1Et7l36oOBY04lon967eGivsvpylH6HHutT2Ye3R+A5wF4DoBrUOQZl+0vAnC0+/0CFFO6hc7/BIDzByzn8QC2o8gStQXAXQDWBM7/NIAL3O8LUORZ77uuPwvgImPfMoAjBmwH0ecIYI2r32MBPN7V+/E9l/N0AAvu96es5zhEfabUD4AzAVyJIp/lKQCuH+BZbwRwkvv9ZAB/DpTzVAA/67tsVZ9jn/U5Sg2cmW9j5jsC229i5l1u9U8ADieiw/RxfWGVE8WMRZcz8z5mvhvFVAcnG8dd6n5fCuBN3ZQ0DBXTKb0dwHf7vG/LnAxgJzP/hZn/C+ByFPXaG8z8K2aWzEjXYVy5b1Pq540Avs0F1wFYT0Qb+ywkM+9m5hvd7z0AbkM4x/Is0Ft9jlKAJ/JWADcx8z5j//td9+WbfZkmPJ4B4F5v/T6EG+PTmHk3UDRgAEcFjumSVwBYYeY7jf0M4FfOXHVuj+XyiT3H1Lrui/eg0L5CDFGfKfUzqjokoiUUve3rA7tfQkTbiehKInp+rwWbEHuOvdXnYMmsqMgu//TArm3M/JPIuc9H0VW1JlX+CoCLUVT0xSjMBO/psZwU2Narv2Ziud+Jcu37Zcy8i4iOAvBrIrqdma/tq5xIe4691HVKfRLRNhQ5Si8zLtN5fQZIqZ/B26tARE8C8EMAH2LmR9TuG1HkBHnUjYf8GJOZW/sk9hx7q8/BBDjXzC5PRJtQTPx3NjPfZVx7xTv+awBqTwFXs5z3AdjsrW8CsCtw3AoRbWTm3a6L9fc6ZQwRKzcRLQB4C4AXl1xjl1v+nYiuQNEdb1XgpNZvyXNMretGJNTnOQBeD+DV7AyhgWt0Xp8BUuqnlzqMQUSLKIT3Zcz8I73fF+jM/Asi+jIRHcE9z8Wb8Bx7q8+ZMqG40f2fA7iQmX9Xcpxvb3ozgFu7LpvipwDOIqLDiGgLCi3h98Zx57jf5wAo7Xm0zGkAbmfm+0I7ieiJRPRk+Y2it9NrPSY+xz8AeDYRbSGixwM4C0W99gYRnQHgowDewMz/No4Zqj5T6uenAM523hOnAPinmPb6wo3HfAPAbcz8OeOYp7vjQEQno5Bfvc66mvgc+6vPoUZyy/5QvKz3AdgHYAXAL932jwH4F4Cbvb+j3L6vw3mCAPgOgFsA7HCVubHPcrp921CM/t8B4HXedr+cTwVwFYA73XJDj3X8LQDnqW1HA/iF+30sCo+F7SgGjLcN0A6Cz9Evp1s/E4XXwl0DlXMnCpuntMmvjqk+Q/UD4Dx5/ii6/F9y+2+B51HVYxlfjsLMsMOrxzNVOd/v6m47isHilw5QzuBzHKo+cyh9JpPJzCgzZULJZDKZzIQswDOZTGZGyQI8k8lkZpQswDOZTGZGyQI8k8lkZpQswDOZTGZGyQI8k8lkZpT/A2wmyXPONoprAAAAAElFTkSuQmCC", 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\n", 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", 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    " ] @@ -433,7 +433,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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", "text/plain": [ "
    " ] diff --git a/tutorials/6.Others/6.2.Selecting.ipynb b/tutorials/6.Others/6.2.Selecting.ipynb index 04bb729ad6ca85c0f663aa41feb2780668fe3559..f29340a7e1b6f651b13f79caee07ca57be0dd54b 100644 --- a/tutorials/6.Others/6.2.Selecting.ipynb +++ b/tutorials/6.Others/6.2.Selecting.ipynb @@ -13,7 +13,8 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *" + "import nes\n", + "from datetime import datetime" ] }, { @@ -44,13 +45,13 @@ "output_type": "stream", "text": [ "2022-11-15 12:00:00 37 2022-11-17 00:00:00\n", - "CPU times: user 252 ms, sys: 1.42 s, total: 1.67 s\n", - "Wall time: 7.32 s\n" + "CPU times: user 111 ms, sys: 142 ms, total: 253 ms\n", + "Wall time: 253 ms\n" ] } ], "source": [ - "nessy = open_netcdf(file_path)\n", + "nessy = nes.open_netcdf(file_path)\n", "nessy.keep_vars('O3')\n", "\n", "print(nessy.time[0], len(nessy.time), nessy.time[-1])\n", @@ -74,13 +75,13 @@ "output_type": "stream", "text": [ "2022-11-16 00:00:00 9 2022-11-16 08:00:00\n", - "CPU times: user 66.3 ms, sys: 310 ms, total: 376 ms\n", - "Wall time: 447 ms\n" + "CPU times: user 20.1 ms, sys: 38 ms, total: 58 ms\n", + "Wall time: 58.3 ms\n" ] } ], "source": [ - "nessy = open_netcdf(file_path)\n", + "nessy = nes.open_netcdf(file_path)\n", "nessy.keep_vars('O3')\n", "\n", "nessy.sel(hours_start=12, hours_end=16)\n", @@ -106,15 +107,13 @@ "output_type": "stream", "text": [ "2022-11-15 12:00:00 12 2022-11-15 23:00:00\n", - "CPU times: user 82.7 ms, sys: 444 ms, total: 526 ms\n", - "Wall time: 1.14 s\n" + "CPU times: user 32.4 ms, sys: 43.8 ms, total: 76.2 ms\n", + "Wall time: 76.5 ms\n" ] } ], "source": [ - "from datetime import datetime\n", - "\n", - "nessy = open_netcdf(file_path)\n", + "nessy = nes.open_netcdf(file_path)\n", "nessy.keep_vars('O3')\n", "\n", "nessy.sel(time_min=datetime(year=2022, month=11, day=15, hour=0), \n", @@ -141,13 +140,13 @@ "output_type": "stream", "text": [ "1\n", - "CPU times: user 14.6 ms, sys: 47.4 ms, total: 62 ms\n", - "Wall time: 327 ms\n" + "CPU times: user 5.56 ms, sys: 27.8 ms, total: 33.4 ms\n", + "Wall time: 33.5 ms\n" ] } ], "source": [ - "nessy = open_netcdf(file_path)\n", + "nessy = nes.open_netcdf(file_path)\n", "nessy.keep_vars('O3')\n", "\n", "nessy.sel(lev_min=23)\n", @@ -172,13 +171,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 1.66 ms, sys: 15.6 ms, total: 17.3 ms\n", - "Wall time: 218 ms\n" + "CPU times: user 727 µs, sys: 13.9 ms, total: 14.6 ms\n", + "Wall time: 14.7 ms\n" ] } ], "source": [ - "nessy = open_netcdf(file_path)\n", + "nessy = nes.open_netcdf(file_path)\n", "nessy.keep_vars('O3')\n", "\n", "nessy.sel(lat_min=30, lat_max=31, lon_min=-1, lon_max=1)\n", @@ -188,7 +187,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -202,7 +201,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" }, "vscode": { "interpreter": { diff --git a/tutorials/6.Others/6.4.Write_By_Timestep.ipynb b/tutorials/6.Others/6.4.Write_By_Timestep.ipynb index 4ef278358f55890a4cb971338016a7a9aac56d1a..d2e196252002749cb74b7b1c305c463e873f21bc 100644 --- a/tutorials/6.Others/6.4.Write_By_Timestep.ipynb +++ b/tutorials/6.Others/6.4.Write_By_Timestep.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import numpy as np\n", "from datetime import datetime, timedelta" ] @@ -37,10 +37,10 @@ "south_boundary = -27\n", "inc_rlat = 0.2\n", "inc_rlon = 0.2\n", - "rotated_grid = create_nes(comm=None, info=False, projection='rotated',\n", - " centre_lat=centre_lat, centre_lon=centre_lon,\n", - " west_boundary=west_boundary, south_boundary=south_boundary,\n", - " inc_rlat=inc_rlat, inc_rlon=inc_rlon)" + "rotated_grid = nes.create_nes(comm=None, info=False, projection='rotated',\n", + " centre_lat=centre_lat, centre_lon=centre_lon,\n", + " west_boundary=west_boundary, south_boundary=south_boundary,\n", + " inc_rlat=inc_rlat, inc_rlon=inc_rlon)" ] }, { @@ -54,15 +54,7 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The history saving thread hit an unexpected error (OperationalError('database is locked')).History will not be written to the database.\n" - ] - } - ], + "outputs": [], "source": [ "rotated_grid.variables = {'var1': {'data': None, 'units': 'kg.s-1', 'dtype': np.float32},\n", " 'var2': {'data': None, 'units': 'kg.s-1', 'dtype': np.float32}}" @@ -90,7 +82,7 @@ { "data": { "text/plain": [ - "[datetime.datetime(1996, 12, 31, 0, 0)]" + "[cftime.DatetimeGregorian(1996, 12, 31, 0, 0, 0, 0, has_year_zero=False)]" ] }, "execution_count": 4, @@ -213,7 +205,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -227,7 +219,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" } }, "nbformat": 4, diff --git a/tutorials/6.Others/6.5.Add_new_variables.ipynb b/tutorials/6.Others/6.5.Add_new_variables.ipynb index dc8a2b9ea2a80ef2e3d0023eeef12b2e77719a90..5daab3b50cb09d85d6c90dc1287ea2ab4e7fea6b 100644 --- a/tutorials/6.Others/6.5.Add_new_variables.ipynb +++ b/tutorials/6.Others/6.5.Add_new_variables.ipynb @@ -11,32 +11,32 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, + "outputs": [], "source": [ - "from nes import *\n", + "import nes\n", "import numpy as np\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import geopandas as gpd" - ], - "outputs": [] + ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, + "outputs": [], "source": [ "%matplotlib inline" - ], - "outputs": [] + ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, + "outputs": [], "source": [ "original_file_path = \"/gpfs/projects/bsc32/models/NES_tutorial_data/MONARCH_d01_2022111512.nc\"" - ], - "outputs": [] + ] }, { "cell_type": "markdown", @@ -49,22 +49,22 @@ "cell_type": "code", "execution_count": 4, "metadata": {}, + "outputs": [], "source": [ "# Open file with only the metadata\n", - "nessy = open_netcdf(original_file_path, parallel_method='Y')" - ], - "outputs": [] + "nessy = nes.open_netcdf(original_file_path, parallel_method='Y')" + ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, + "outputs": [], "source": [ "# Load variables data\n", "nessy.keep_vars(['NO2']) # If you avoid this part all variables will be loaded\n", "nessy.load()" - ], - "outputs": [] + ] }, { "cell_type": "markdown", @@ -84,35 +84,35 @@ "cell_type": "code", "execution_count": 6, "metadata": {}, + "outputs": [], "source": [ "from copy import deepcopy\n", "\n", "# Copy the base variable and all the metadata\n", "nessy.variables['new_var1'] = deepcopy(nessy.variables['NO2'])\n" - ], - "outputs": [] + ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, + "outputs": [], "source": [ "# Modify the data and the metadata\n", "nessy.variables['new_var1']['data'] *= 2\n", "nessy.variables['new_var1']['long_name'] = 'Double NO2'\n", "nessy.variables['new_var1']['standard_name'] = 'Invented_name'" - ], - "outputs": [] + ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, + "outputs": [], "source": [ "# Create the new file\n", "nessy.to_netcdf('new_var1.nc')" - ], - "outputs": [] + ] }, { "cell_type": "markdown", @@ -125,25 +125,26 @@ "cell_type": "code", "execution_count": 9, "metadata": {}, + "outputs": [], "source": [ - "nessy = open_netcdf(original_file_path, parallel_method='Y')" - ], - "outputs": [] + "nessy = nes.open_netcdf(original_file_path, parallel_method='Y')" + ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, + "outputs": [], "source": [ "# Remove all variables information to keep only the metadata\n", "nessy.variables = {}" - ], - "outputs": [] + ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, + "outputs": [], "source": [ "# Create metadata\n", "nessy.variables['new_var2'] = {'data': None,\n", @@ -155,22 +156,21 @@ "# Fill the data\n", "shape = (len(nessy.time), len(nessy.lev['data']), nessy.lat['data'].shape[0], nessy.lon['data'].shape[-1])\n", "nessy.variables['new_var2']['data'] = np.random.rand(*shape)" - ], - "outputs": [] + ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, + "outputs": [], "source": [ "nessy.to_netcdf('new_var2.nc')" - ], - "outputs": [] + ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -184,7 +184,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.16" } }, "nbformat": 4,