From bf473d88a91cb39315ee0c20cae648f6ef54e172 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Tue, 2 Nov 2021 17:55:48 +0100
Subject: [PATCH 01/34] \ Export ZIP with netCDF instead of zarr equivalent

---
 scripts/create_zenodo_datazip.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/create_zenodo_datazip.sh b/scripts/create_zenodo_datazip.sh
index 0ab4014..e28411b 100644
--- a/scripts/create_zenodo_datazip.sh
+++ b/scripts/create_zenodo_datazip.sh
@@ -9,4 +9,4 @@ zip -r -D ../processed_data/EUREC4A_ManualClassifications_l3_IR.zarr.zip ../proc
 zip -r -D ../processed_data/EUREC4A_ManualClassifications_l3_VIS.zarr.zip ../processed_data/EUREC4A_ManualClassifications_l3_VIS.zarr
 zip -r -D ../processed_data/EUREC4A_ManualClassifications_l3_albedo.zarr.zip ../processed_data/EUREC4A_ManualClassifications_l3_albedo.zarr
 
-zip -D ../zenodo/EUREC4A_ManualCloudClassificationData.zip ../processed_data/EUREC4A_ManualClassifications_MergedClassifications.zarr.zip ../processed_data/EUREC4A_ManualClassifications_l3_VIS.zarr.zip ../processed_data/EUREC4A_ManualClassifications_l3_IR.zarr.zip ../processed_data/EUREC4A_ManualClassifications_l3_albedo.zarr.zip ../processed_data/EUREC4A_ManualClassifications_l1_anonymized.nc ../zooniverse_raw/sugar-flower-fish-or-gravel-subjects.csv ../zooniverse_raw/sugar-flower-fish-or-gravel-classifications_anonymized.csv
+zip -D ../zenodo/EUREC4A_ManualCloudClassificationData.zip ../processed_data/EUREC4A_ManualClassifications_MergedClassifications.zarr.zip ../processed_data/EUREC4A_ManualClassifications_l3_VIS.nc ../processed_data/EUREC4A_ManualClassifications_l3_IR.nc ../processed_data/EUREC4A_ManualClassifications_l3_albedo.nc ../processed_data/EUREC4A_ManualClassifications_l1_anonymized.nc ../zooniverse_raw/sugar-flower-fish-or-gravel-subjects.csv ../zooniverse_raw/sugar-flower-fish-or-gravel-classifications_anonymized.csv

From 458d6f3b521972a0f9f639fcebbb7158ed1bd5e1 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Fri, 12 Nov 2021 09:46:33 +0100
Subject: [PATCH 02/34]  Merge parts of fde6c6d5

---
 helpers/helpers.py       | 42 ++++++++++++++++++++++++++++++++++------
 scripts/create_level1.py | 42 ++++++++++++++++++++++++----------------
 scripts/create_level2.py | 26 ++++++++++++-------------
 scripts/create_level3.py | 28 +++++++++++++++------------
 4 files changed, 89 insertions(+), 49 deletions(-)

diff --git a/helpers/helpers.py b/helpers/helpers.py
index d13741d..0d4af9e 100644
--- a/helpers/helpers.py
+++ b/helpers/helpers.py
@@ -14,7 +14,10 @@ def add_subject_set_id_to_clas_df(clas_df, subj_df, subjs_of_interest):
         lambda i: s.loc[i].subject_set_id if i in list(s.index) else np.nan)
     clas_df.dropna(subset=['subject_set_id'], inplace=True)
     # Also add filename
-    filenames = clas_df.subject_ids.apply(lambda i: os.path.basename(s.loc[i].metadata['file']))
+    try:
+        filenames = clas_df.subject_ids.apply(lambda i: os.path.basename(s.loc[i].metadata['file']))
+    except KeyError:
+        filenames = clas_df.subject_ids.apply(lambda i: os.path.basename(s.loc[i].metadata['fn']))
     clas_df['fn'] = filenames
     return clas_df
 
@@ -31,12 +34,12 @@ def clean_tool_label(label):
         return None
 
 
-def restrict_to_version(clas_df, version_dict):
+def restrict_to_version(clas_df, version_dict, workfl_of_interest):
     """
     Remove classifications from certain workflow
     that do not have the requested version number.
     """
-    mask = clas_df.apply(lambda i: i.workflow_version in version_dict[i.workflow_id], axis=1)
+    mask = clas_df.apply(lambda i: (i.workflow_version in version_dict[i.workflow_id]) and (i.workflow_id in workfl_of_interest), axis=1)
     clas_df = clas_df.drop(clas_df.loc[~mask].index)
     return clas_df
 
@@ -108,11 +111,14 @@ def convert_clas_to_annos_df(clas_df):
                 annos_df.iloc[j][coord] = anno[coord]
             for meta in ['started_at', 'finished_at']:
                 annos_df.iloc[j][meta] = row.metadata[meta]
-            annos_df.iloc[j]['already_seen'] = row.metadata['subject_selection_state']['already_seen']
+            try:
+                annos_df.iloc[j]['already_seen'] = row.metadata['subject_selection_state']['already_seen']
+            except KeyError:
+                print("No subject_selection_state in input file. Skip information about already_seen")
             j += 1
     # Convert start and finish times to datetime
     for meta in ['started_at', 'finished_at', 'created_at']:
-        annos_df[meta] = pd.to_datetime(annos_df[meta])
+        annos_df[meta] = pd.to_datetime(annos_df[meta]).dt.tz_localize(None)
     return annos_df
 
 
@@ -152,6 +158,30 @@ def decode_filename_eurec4a(filename):
     return return_dict
 
 
+def decode_filename_BAMS(filename):
+    """
+    Decode filenames of the initial workflows published in BAMS
+    """
+    return_dict = {}
+    basename = filename.split('/')[-1]
+    basename_spl = basename.split('_')
+    if 'Aqua' in basename:
+        return_dict['platform'] = 'Aqua'
+        return_dict['instrument'] = 'MODIS'
+        return_dict['channel'] = 'CorrectedReflectance'
+        return_dict['date'] = dt.datetime.strptime(basename_spl[1], "CorrectedReflectance%Y%m%d")
+        return_dict['init_date'] = pd.NaT
+    elif 'Terra' in basename:
+        return_dict['platform'] = 'Terra'
+        return_dict['instrument'] = 'MODIS'
+        return_dict['channel'] = 'CorrectedReflectance'
+        return_dict['date'] = dt.datetime.strptime(basename_spl[1], "CorrectedReflectance%Y%m%d")
+        return_dict['init_date'] = pd.NaT
+    else:
+        print(basename)
+        raise ValueError(basename)
+    return return_dict
+
 def rle (binary_mask,return_str=True):
     """
     Fast run length encoding
@@ -180,7 +210,7 @@ def most_common_boxes(boxes, visualize=False, return_all_pattern=False, imag_dim
     Combine most common boxes of one image
     into one grid
     """
-    pattern_dic = {'Sugar': 0, 'Flower': 1, 'Fish': 2, 'Gravel': 3}
+    pattern_dic = {'Sugar': 0, 'Flower': 1, 'Fish': 2, 'Gravel': 3, 'Sug': 0, 'Flow': 1, 'Fi': 2, 'Grav': 3}
     
     grid = np.zeros((imag_dim[0],imag_dim[1],4),dtype="int")
     for b,box in enumerate(boxes):
diff --git a/scripts/create_level1.py b/scripts/create_level1.py
index 37588af..ebe9b5b 100644
--- a/scripts/create_level1.py
+++ b/scripts/create_level1.py
@@ -9,20 +9,7 @@
    - geographical coordinates are retrieved from pixel coordinates
 """
 
-# Path to zooniverse files
-clas_fn = '../zooniverse_raw/sugar-flower-fish-or-gravel-classifications.csv'
-subj_fn = '../zooniverse_raw/sugar-flower-fish-or-gravel-subjects.csv'
-
-# Level1 filename
-level1_file = '../processed_data/EUREC4A_ManualClassifications_l1.nc'
-
-# Define subject sets of interest
-subjs_of_interest = [81160, 81382, 80697, 80696]
-
 import sys
-# Path to pycloud folder (https://github.com/raspstephan/sugar-flower-fish-or-gravel/tree/master/pyclouds)
-sys.path.append("/Users/haukeschulz/Documents/PhD/Work/Own/AI_CloudClassification/CloudClassificationDay/cloud-classification/")
-
 sys.path.append("../helpers/")
 
 import os
@@ -30,15 +17,33 @@
 import time
 import tqdm
 import logging
+from omegaconf import OmegaConf as oc
 import numpy as np
 import pandas as pd
 import datetime as dt
 import xarray as xr
+
+# Load config
+conf = oc.load('config.yaml')
+# Path to pycloud folder (https://github.com/raspstephan/sugar-flower-fish-or-gravel/tree/master/pyclouds)
+sys.path.append(conf.env.pyclouds)
+
 import general_helpers as g
 from helpers import *
 
 g.setup_logging('INFO')
 
+# Path to zooniverse files
+clas_fn = conf.input.classifications_file
+subj_fn = conf.input.subjects_file
+
+# Level1 filename
+level1_file = conf.level1.fn_netcdf
+
+# Define subject sets of interest
+subjs_of_interest = conf.setup.subjects_of_interest
+workfl_of_interest = conf.setup.workflows_of_interest
+
 try:
     from pyclouds import *
 except:
@@ -64,8 +69,8 @@
     print(workflow_name, np.unique(df.workflow_version))
 
 # based on aboves overview the following versions will be chosen
-version_dict = {13306: [21.18], 13309: [17.12], 13406: [14.16], 13496: [14.11]}
-data_combined = restrict_to_version(data_combined, version_dict)
+version_dict = {8073: [13.11], 8072: [24.13], 8414: [14.26], 13306: [21.18], 13309: [17.12], 13406: [14.16], 13496: [14.11]}
+data_combined = restrict_to_version(data_combined, version_dict, workfl_of_interest)
 
 # Make classifications and other data better accessable in the dataframe
 # by extracting values from dictionaries
@@ -78,8 +83,11 @@
 dates = np.empty(len(data_export),dtype=dt.datetime)
 init_dates = np.empty_like(dates)
 instruments = np.empty(len(data_export), dtype='object')
-for f,fn in enumerate(data_export.fn):
-    _dict = decode_filename_eurec4a(fn)
+for f, (fn, wf) in enumerate(zip(data_export.fn, data_export.workflow_id)):
+    if wf in [13306, 13309, 13406, 13496]:
+        _dict = decode_filename_eurec4a(fn)
+    elif wf in [8073, 8072, 8414]:
+        _dict = decode_filename_BAMS(fn)
     dates[f] = _dict['date']
     init_dates[f] = _dict['init_date']
     instruments[f] = _dict['instrument']
diff --git a/scripts/create_level2.py b/scripts/create_level2.py
index 4bd75c6..6b94619 100644
--- a/scripts/create_level2.py
+++ b/scripts/create_level2.py
@@ -9,22 +9,13 @@
     classification_ids x image_x x image_y x 4
 """
 
-# Path to zooniverse files
-clas_fn = '../zooniverse_raw/sugar-flower-fish-or-gravel-classifications.csv'
-subj_fn = '../zooniverse_raw/sugar-flower-fish-or-gravel-subjects.csv'
-
-# Level1 filename
-level1_file = '../processed_data/EUREC4A_ManualClassifications_l1.nc'
-
-# Level2 filename
-level2_file = '../processed_data/EUREC4A_ManualClassifications_MergedClassifications.zarr'
-
-# Define subject sets of interest
-subjs_of_interest = [81160, 81382, 80697, 80696]
-
 import sys
+from omegaconf import OmegaConf as oc
+
+# Load config
+conf = oc.load('config.yaml')
 # Path to pycloud folder (https://github.com/raspstephan/sugar-flower-fish-or-gravel/tree/master/pyclouds)
-sys.path.append("/Users/haukeschulz/Documents/PhD/Work/Own/AI_CloudClassification/CloudClassificationDay/cloud-classification/")
+sys.path.append(conf.env.pyclouds)
 
 sys.path.append("../helpers/")
 
@@ -45,6 +36,13 @@
 
 g.setup_logging('INFO')
 
+# Level1 filename
+level1_file = conf.level1.fn_netcdf
+
+# Level2 filename
+level2_file = conf.level2.fn_zarr
+
+
 try:
     git_module_version = subprocess.check_output(["git", "describe", "--dirty"]).strip().decode("utf-8")
 except:
diff --git a/scripts/create_level3.py b/scripts/create_level3.py
index 995d617..448829f 100644
--- a/scripts/create_level3.py
+++ b/scripts/create_level3.py
@@ -9,15 +9,6 @@
     dates x image_x x image_y x 4
 """
 
-# Level1 filename
-level1_file = '../processed_data/EUREC4A_ManualClassifications_l1.nc'
-
-# Level2 filename
-level2_file = '../processed_data/EUREC4A_ManualClassifications_MergedClassifications.zarr'
-
-# Level3 filename (output)
-level3_file = '../processed_data/EUREC4A_ManualClassifications_l3_{workflow}.zarr'
-
 # Define workflow and instrument combinations
 combos = {'IR': {'workflow':'EUREC4A (IR)', 'instrument':['ABI']},
           'VIS': {'workflow':'EUREC4A (VIS)', 'instrument': ['ABI', 'MODIS']},
@@ -26,8 +17,12 @@
          }
 
 import sys
+
+# Load config
+from omegaconf import OmegaConf as oc
+conf = oc.load('config.yaml')
 # Path to pycloud folder (https://github.com/raspstephan/sugar-flower-fish-or-gravel/tree/master/pyclouds)
-sys.path.append("/Users/haukeschulz/Documents/PhD/Work/Own/AI_CloudClassification/CloudClassificationDay/cloud-classification/")
+sys.path.append(conf.env.pyclouds)
 
 sys.path.append("../helpers/")
 
@@ -47,6 +42,15 @@
 
 g.setup_logging('INFO')
 
+# Level1 filename
+level1_file = conf.level1.fn_netcdf
+
+# Level2 filename
+level2_file = conf.level2.fn_zarr
+
+# Level3 filename
+level3_file = conf.level3.fn_zarr
+
 # workflow = 'EUREC4A (VIS)'  # possible choices: 'EUREC4A (ICON; albedo)', 'EUREC4A (ICON; cloud liquid + ice)', 'EUREC4A (IR)', 'EUREC4A (VIS)']
 # workflow_dict = {'EUREC4A (IR)': 'IR',
 #                  'EUREC4A (ICON; albedo)': 'albedo',
@@ -100,9 +104,9 @@
     freq = root_grp.create_dataset('freq', shape=(nb_dates, nb_lons, nb_lats, nb_patterns),
                                    chunks=(1, nb_lons, nb_lats, nb_patterns),
                                    dtype=float, compressor=zarr.Zlib(level=1))
-    dates = root_grp.create_dataset('date', shape=(nb_dates), chunks=(1),
+    dates = root_grp.create_dataset('date', shape=(nb_dates), chunks=(nb_dates),
                             dtype=int, compressor=zarr.Zlib(level=1))
-    nb_user = root_grp.create_dataset('nb_users', shape=(nb_dates), chunks=(1),
+    nb_user = root_grp.create_dataset('nb_users', shape=(nb_users), chunks=(nb_users),
                             dtype=int, compressor=zarr.Zlib(level=1))
     lats = root_grp.create_dataset('latitude', shape=(nb_lats), chunks=(nb_lats),
                             dtype=float, compressor=zarr.Zlib(level=1))

From bf595c9c9d39287ec3e07143d46ece664072289b Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Fri, 12 Nov 2021 10:04:04 +0100
Subject: [PATCH 03/34] \ Joint BAMS/EUREC4A config

---
 scripts/config.yaml      | 41 ++++++++++++++++++++++++++++++++++++++++
 scripts/create_level1.py | 12 +++++++-----
 scripts/create_level2.py |  6 ++++--
 scripts/create_level3.py |  8 +++++---
 4 files changed, 57 insertions(+), 10 deletions(-)
 create mode 100644 scripts/config.yaml

diff --git a/scripts/config.yaml b/scripts/config.yaml
new file mode 100644
index 0000000..ce01667
--- /dev/null
+++ b/scripts/config.yaml
@@ -0,0 +1,41 @@
+classifications : ['BAMS', 'EUREC4A']
+env:
+  pyclouds: '/Users/haukeschulz/Documents/PhD/Work/Own/AI_CloudClassification/CloudClassificationDay/cloud-classification/'
+
+
+EUREC4A:
+  input:
+    subjects_file: '../zooniverse_raw/sugar-flower-fish-or-gravel-subjects.csv'
+    classifications_file: '../zooniverse_raw/sugar-flower-fish-or-gravel-classifications.csv'
+
+  setup:
+    workflows_of_interest: [13306, 13309, 13406]
+    subjects_of_interest: [81160, 81382, 80697, 80696]
+
+  level1:
+    fn_netcdf: '../processed_data/EUREC4A_ManualClassifications_l1.nc'
+  
+  level2:
+    fn_zarr: '../processed_data/EUREC4A_ManualClassifications_l2.zarr'
+
+  level3:
+    fn_zarr: '../processed_data/EUREC4A_ManualClassifications_l3_{workflow}.zarr'
+
+BAMS:
+  input:
+    subjects_file: '../zooniverse_raw/zooniverse_raw/sugar-flower-fish-or-gravel-subjects_19_01_14.csv'
+    classifications_file: '../zooniverse_raw/zooniverse_raw/sugar-flower-fish-or-gravel-classifications_18_12_16.csv'
+
+  setup:
+    workflows_of_interest: [8072, 8073]
+    subjects_of_interest: [60811, 60812, 60813, 60814] #, 60815, 60816, 60817, 60818, 60819, 60835
+
+  level1:
+    fn_netcdf: '../processed_data/BAMS_ManualClassifications_l1.nc'
+
+  level2:
+    fn_zarr: '../processed_data/BAMS_ManualClassifications_MergedClassifications.zarr'
+
+  level3:
+    fn_zarr: '../processed_data/BAMS_ManualClassifications_l3_{workflow}.zarr'
+
diff --git a/scripts/create_level1.py b/scripts/create_level1.py
index ebe9b5b..e7e1941 100644
--- a/scripts/create_level1.py
+++ b/scripts/create_level1.py
@@ -33,16 +33,18 @@
 
 g.setup_logging('INFO')
 
+classification = 'EUREC4A'
+
 # Path to zooniverse files
-clas_fn = conf.input.classifications_file
-subj_fn = conf.input.subjects_file
+clas_fn = conf[classification].input.classifications_file
+subj_fn = conf[classification].input.subjects_file
 
 # Level1 filename
-level1_file = conf.level1.fn_netcdf
+level1_file = conf[classification].level1.fn_netcdf
 
 # Define subject sets of interest
-subjs_of_interest = conf.setup.subjects_of_interest
-workfl_of_interest = conf.setup.workflows_of_interest
+subjs_of_interest = conf[classification].setup.subjects_of_interest
+workfl_of_interest = conf[classification].setup.workflows_of_interest
 
 try:
     from pyclouds import *
diff --git a/scripts/create_level2.py b/scripts/create_level2.py
index 6b94619..9c6086b 100644
--- a/scripts/create_level2.py
+++ b/scripts/create_level2.py
@@ -36,11 +36,13 @@
 
 g.setup_logging('INFO')
 
+classification = 'EUREC4A'
+
 # Level1 filename
-level1_file = conf.level1.fn_netcdf
+level1_file = conf[classification].level1.fn_netcdf
 
 # Level2 filename
-level2_file = conf.level2.fn_zarr
+level2_file = conf[classification].level2.fn_zarr
 
 
 try:
diff --git a/scripts/create_level3.py b/scripts/create_level3.py
index 448829f..171fe49 100644
--- a/scripts/create_level3.py
+++ b/scripts/create_level3.py
@@ -42,14 +42,16 @@
 
 g.setup_logging('INFO')
 
+classification = 'EUREC4A'
+
 # Level1 filename
-level1_file = conf.level1.fn_netcdf
+level1_file = conf[classification].level1.fn_netcdf
 
 # Level2 filename
-level2_file = conf.level2.fn_zarr
+level2_file = conf[classification].level2.fn_zarr
 
 # Level3 filename
-level3_file = conf.level3.fn_zarr
+level3_file = conf[classification].level3.fn_zarr
 
 # workflow = 'EUREC4A (VIS)'  # possible choices: 'EUREC4A (ICON; albedo)', 'EUREC4A (ICON; cloud liquid + ice)', 'EUREC4A (IR)', 'EUREC4A (VIS)']
 # workflow_dict = {'EUREC4A (IR)': 'IR',

From 91b0255de4da0bbf1261f0ec9e04aadf6fb7fcdc Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Fri, 12 Nov 2021 12:05:36 +0100
Subject: [PATCH 04/34] \ Level1: variable output types

---
 scripts/create_level1.py | 27 ++++++++++++++++++++++++++-
 1 file changed, 26 insertions(+), 1 deletion(-)

diff --git a/scripts/create_level1.py b/scripts/create_level1.py
index e7e1941..7e03c22 100644
--- a/scripts/create_level1.py
+++ b/scripts/create_level1.py
@@ -163,4 +163,29 @@
 
 ds_l1['already_seen'] = ds_l1.already_seen.astype(bool)
 
-ds_l1.to_netcdf(level1_file)
+variable_encoding = {
+                     'created_at': {'dtype': 'int32'},
+                     'started_at': {'dtype': 'uint32'},
+                     'finished_at': {'dtype': 'uint32'},
+                     'workflow_id': {'dtype': 'int16'},
+                     'classification_id': {'dtype': 'int32'},
+                     'index': {'dtype': 'int32'},
+                     'subject_ids': {'dtype': 'int32'},
+                     'date': {'dtype': 'int32'},
+                     'x': {'dtype': 'float'},
+                     'y': {'dtype': 'float'},
+                     'width': {'dtype': 'float'},
+                     'height': {'dtype': 'float'},
+                     'init_date': {'dtype': 'float'},
+                     'lon0': {'dtype': 'float'},
+                     'lat0': {'dtype': 'float'},
+                     'lon1': {'dtype': 'float'},
+                     'lat1': {'dtype': 'float'}
+                    }
+
+# Convert objects to integer (see https://github.com/pydata/xarray/issues/3149)
+ds_l1['workflow_id'] = ds_l1.workflow_id.astype(int)
+ds_l1['subject_ids'] = ds_l1.subject_ids.astype(int)
+ds_l1['classification_id'] = ds_l1.classification_id.astype(int)
+
+ds_l1.to_netcdf(level1_file, encoding=variable_encoding)

From a79c1eed0b057ffb5f9da647e1c4bc946bdcc4e3 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Fri, 12 Nov 2021 12:05:56 +0100
Subject: [PATCH 05/34] \ Level2+3: change chunks

---
 scripts/create_level2.py | 2 +-
 scripts/create_level3.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/scripts/create_level2.py b/scripts/create_level2.py
index 9c6086b..1afc70c 100644
--- a/scripts/create_level2.py
+++ b/scripts/create_level2.py
@@ -71,7 +71,7 @@
 mask = root_grp.create_dataset('mask', shape=(nb_classifications, nb_lons, nb_lats, nb_patterns),
                                chunks=(1, nb_lons, nb_lats, nb_patterns),
                                dtype=bool, compressor=zarr.Zlib(level=1))
-clas_ids = root_grp.create_dataset('classification_id', shape=(nb_classifications), chunks=(1),
+clas_ids = root_grp.create_dataset('classification_id', shape=(nb_classifications), chunks=(nb_classifications),
                         dtype=int, compressor=zarr.Zlib(level=1))
 lats = root_grp.create_dataset('latitude', shape=(nb_lats), chunks=(nb_lats),
                         dtype=float, compressor=zarr.Zlib(level=1))
diff --git a/scripts/create_level3.py b/scripts/create_level3.py
index 171fe49..e20980f 100644
--- a/scripts/create_level3.py
+++ b/scripts/create_level3.py
@@ -108,7 +108,7 @@
                                    dtype=float, compressor=zarr.Zlib(level=1))
     dates = root_grp.create_dataset('date', shape=(nb_dates), chunks=(nb_dates),
                             dtype=int, compressor=zarr.Zlib(level=1))
-    nb_user = root_grp.create_dataset('nb_users', shape=(nb_users), chunks=(nb_users),
+    nb_user = root_grp.create_dataset('nb_users', shape=(nb_dates), chunks=(nb_dates),
                             dtype=int, compressor=zarr.Zlib(level=1))
     lats = root_grp.create_dataset('latitude', shape=(nb_lats), chunks=(nb_lats),
                             dtype=float, compressor=zarr.Zlib(level=1))

From b9b02cda7c19f708c087ccd3dd84527652c9e8a8 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Fri, 12 Nov 2021 13:43:05 +0100
Subject: [PATCH 06/34] \ Level3: instant classification freq instead of daily

---
 scripts/create_level3.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/scripts/create_level3.py b/scripts/create_level3.py
index e20980f..57af6d9 100644
--- a/scripts/create_level3.py
+++ b/scripts/create_level3.py
@@ -93,7 +93,7 @@
 nb_lats = len(da_arr.latitude)
 nb_lons = len(da_arr.longitude)
 nb_patterns = len(da_arr.pattern)
-nb_dates = len(df_l1.groupby(df_l1['date'].dt.date))
+nb_dates = len(df_l1.groupby(df_l1['date']))
 
 for combo, combo_details in combos.items():
     workflow = combo_details['workflow']
@@ -137,7 +137,7 @@
         freq[d,:,:,:] = np.sum(date_arr[:,:,:,:], axis=0)/nb_user[d]
 
     for d, (date, date_df) in enumerate(df_l1.groupby(df_l1['date'].dt.date)):
-        dates[d] = (date-dt.datetime(1970,1,1).date()).total_seconds()
+        dates[d] = (date-dt.datetime(1970,1,1)).total_seconds()
     lons[:] = da_arr.longitude.values  # np.linspace(-62,-40,nb_lons)
     lats[:] = da_arr.latitude.values  # np.linspace(20,5,nb_lats)
     patterns[:] = ['Sugar', 'Flowers', 'Fish', 'Gravel']
@@ -162,7 +162,7 @@
 
     # Global attributes
     root_grp.attrs['title'] = 'EUREC4A: manual meso-scale cloud pattern classifications'
-    root_grp.attrs['description'] = 'Level-3: daily classification frequency'
+    root_grp.attrs['description'] = 'Level-3: instant classification frequency'
     root_grp.attrs['author'] = 'Hauke Schulz (hauke.schulz@mpimet.mpg.de)'
     root_grp.attrs['institute'] = 'Max Planck Institut für Meteorologie, Germany'
     root_grp.attrs['created_on'] = dt.datetime.now().strftime('%Y-%m-%d %H:%M UTC')

From 37d4813a1efa7924fa07757c5fbdd1dbdf57bea3 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Sat, 13 Nov 2021 16:14:02 +0100
Subject: [PATCH 07/34] \ Bugfix: instant dates

---
 scripts/create_level3.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/scripts/create_level3.py b/scripts/create_level3.py
index 57af6d9..ef0823d 100644
--- a/scripts/create_level3.py
+++ b/scripts/create_level3.py
@@ -117,7 +117,7 @@
     patterns = root_grp.create_dataset('pattern', shape=(nb_patterns), chunks=(nb_patterns),
                             dtype=str, compressor=zarr.Zlib(level=1))
 
-    for d, (date, date_df) in enumerate(tqdm.tqdm(df_l1.groupby(df_l1['date'].dt.date))):
+    for d, (date, date_df) in enumerate(tqdm.tqdm(df_l1.groupby(df_l1['date']))):
         date_arr = np.zeros((len(np.unique(date_df.user_name)),
                              nb_lons,
                              nb_lats,
@@ -136,7 +136,7 @@
         nb_user[d] = len(np.unique(date_df_sel.user_name))
         freq[d,:,:,:] = np.sum(date_arr[:,:,:,:], axis=0)/nb_user[d]
 
-    for d, (date, date_df) in enumerate(df_l1.groupby(df_l1['date'].dt.date)):
+    for d, (date, date_df) in enumerate(df_l1.groupby(df_l1['date'])):
         dates[d] = (date-dt.datetime(1970,1,1)).total_seconds()
     lons[:] = da_arr.longitude.values  # np.linspace(-62,-40,nb_lons)
     lats[:] = da_arr.latitude.values  # np.linspace(20,5,nb_lats)

From af6f8ea7107ea6e19b88a13e9b6fb13202e89fc8 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Wed, 17 Nov 2021 18:34:41 +0100
Subject: [PATCH 08/34] + Notebook for visualization of agreement of
 classification approaches

---
 notebooks/Agreement_manual_NN.ipynb | 3191 +++++++++++++++++++++++++++
 1 file changed, 3191 insertions(+)
 create mode 100644 notebooks/Agreement_manual_NN.ipynb

diff --git a/notebooks/Agreement_manual_NN.ipynb b/notebooks/Agreement_manual_NN.ipynb
new file mode 100644
index 0000000..f72dbba
--- /dev/null
+++ b/notebooks/Agreement_manual_NN.ipynb
@@ -0,0 +1,3191 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Agreement between IR manual classifications and neural network"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/mnt/lustre02/work/mh0010/m300408/CharacterizationOfMesoscalePatterns/Classification/NN-application/NN_agreement_analysis\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pwd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/sw/spack-rhel6/jupyterhub/jupyterhub/bin/python\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "!which python"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# classification_path = '/work/mh0010/m300408/CharacterizationOfMesoscalePatterns/Data/Level_0/classifications/MODIS_NorthAtlantic/'\n",
+    "# classification_path_L1 = \"/work/mh0010/m300408/CharacterizationOfMesoscalePatterns/Data/Level_1/classifications/\"\n",
+    "# fn_MODIS_IR = \"Classifications__NN__MODIS__IR__Region1.nc\"\n",
+    "# fn_MODIS_VIS = \"Classifications__NN__MODIS__VIS__Region1.nc\"\n",
+    "# fn_ABI_IR = \"CloudPattern__IRRetinanet__GOES16__10-24N_-61--40E__2018JFMND_2019JFMND-2020JFM.nc\"\n",
+    "\n",
+    "\n",
+    "fn_ABI_IR = '/mnt/lustre02/work/mh0010/m300408/CharacterizationOfMesoscalePatterns/Data/Level_1/GOES16_CH13_classifications_2018-2020_NDJFM_30min.zarr/' #\" ABIonICONdomain_DOM01.zarr'\n",
+    "fn_manual_classifications = '/work/mh0010/m300408/EUREC4A_CloudClassification/manual/processed_data/EUREC4A_ManualClassifications_l3_IR.zarr'\n",
+    "fn_manual_classifications = '/work/mh0010/m300408/EUREC4A_CloudClassification/manual/processed_data/EUREC4A_ManualClassifications_l3_VIS.zarr'\n",
+    "fn_manual_classifications = '/work/mh0010/m300408/EUREC4A_CloudClassification/manual/processed_data/EUREC4A_ManualClassifications_l3_albedo.zarr'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "domain = [10, 24, -61, -40]  # domain of original data [lat1, lat2, lon1, lon2]\n",
+    "label_map= {'Sugar':0, 'Fish': 3, 'Flowers': 2, 'Flower': 2, 'Gravel': 1}\n",
+    "label_map_rv = {0:'Sugar', 1:'Gravel', 2: 'Flowers', 3: 'Fish'}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Agreement between GOES_IR, MODIS_IR, MODIS_VIS"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The autoreload extension is already loaded. To reload it, use:\n",
+      "  %reload_ext autoreload\n"
+     ]
+    }
+   ],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2\n",
+    "import tqdm\n",
+    "import dask\n",
+    "import zarr\n",
+    "import xarray as xr\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import datetime as dt\n",
+    "import pandas as pd\n",
+    "\n",
+    "import sys, os\n",
+    "sys.path.append(\"/home/mpim/m300408/CloudClassification/sugar-flower-fish-or-gravel\")\n",
+    "from pyclouds.imports import *\n",
+    "from pyclouds.helpers import *\n",
+    "from pyclouds.zooniverse import *\n",
+    "from pyclouds.plot import *\n",
+    "\n",
+    "del tqdm\n",
+    "import tqdm"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Computation of masks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def iou_one_class_from_annos(arr1, arr2, return_iou=False):\n",
+    "    \"\"\"\n",
+    "    Returns the IoU from lists of [x, y, w, h] annotations.\n",
+    "    Image size must be given because arrays are created internally.\n",
+    "    If return_iou is True, the actual IoU score is computed,\n",
+    "    otherwise i, u will be returned.\n",
+    "    \n",
+    "    >>> iou_one_class_from_annos([False,True],[False,False],return_iou=True)\n",
+    "    0.0\n",
+    "    >>> iou_one_class_from_annos([False,True],[True,False],return_iou=True)\n",
+    "    0.0\n",
+    "    >>> iou_one_class_from_annos([False,True],[True,True],return_iou=True)\n",
+    "    0.5\n",
+    "    >>> iou_one_class_from_annos([False,False],[False,False],return_iou=True)\n",
+    "    np.nan\n",
+    "    \n",
+    "    \"\"\"\n",
+    "    i = intersect_from_arrs(arr1, arr2)\n",
+    "    u = union_from_arrs(arr1, arr2)\n",
+    "    if return_iou:\n",
+    "        if u > 0:\n",
+    "            return i/u\n",
+    "        # only exists in one of the inputs\n",
+    "        elif u == 0 and np.any([arr1, arr2]):\n",
+    "            return 0\n",
+    "        # no identifications in any input\n",
+    "        else:\n",
+    "            return np.nan\n",
+    "    else:\n",
+    "        return i, u\n",
+    "\n",
+    "def intersect_from_arrs(arr1, arr2):\n",
+    "    \"\"\"Applies bitwise_and followed by a sum. Note that the sum operation is expensive.\"\"\"\n",
+    "    return np.count_nonzero(np.bitwise_and(arr1, arr2))\n",
+    "\n",
+    "\n",
+    "def union_from_arrs(arr1, arr2):\n",
+    "    \"\"\"Applies bitwise_or followed by a sum. Note that the sum operation is expensive.\"\"\"\n",
+    "    return np.count_nonzero(np.bitwise_or(arr1, arr2))\n",
+    "\n",
+    "def get_date_from_filename(fn):\n",
+    "    fn_parts = fn.split('/')\n",
+    "    try:\n",
+    "        date = dt.datetime.strptime(fn_parts[-1].split('_')[4], 'Day%Y%m%d')\n",
+    "    except ValueError:\n",
+    "        date = dt.datetime.strptime(fn_parts[-1].split('_')[-3], 'TrueColor%Y%m%d')\n",
+    "    return date\n",
+    "\n",
+    "def create_mask(boxes, labels, out, label_map={'Sugar':0, 'Fish': 3, 'Flower': 2, 'Gravel': 1}):\n",
+    "    \"\"\"\n",
+    "    Create or add mask to array\n",
+    "    \"\"\"\n",
+    "    xy_boxes = [wh2xy(*b) for b in boxes]\n",
+    "    \n",
+    "    for l, lab in enumerate(labels):\n",
+    "        mask_layer = label_map[lab]\n",
+    "        x1,y1,x2,y2 = np.array(xy_boxes[l]).astype(int)\n",
+    "        out[x1:x2,y1:y2,mask_layer] = True\n",
+    "    \n",
+    "    return out"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculate IoUs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import tqdm\n",
+    "import datetime as dt\n",
+    "import numpy as np\n",
+    "import dask\n",
+    "import pandas as pd\n",
+    "import zarr\n",
+    "import xarray as xr\n",
+    "import os"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mask_ABI_IR = xr.open_zarr(fn_ABI_IR)\n",
+    "if '.zarr' in fn_manual_classifications:\n",
+    "    mask_manual_classifications = xr.open_zarr(fn_manual_classifications)\n",
+    "elif '.nc' in fn_manual_classifications:\n",
+    "    mask_manual_classifications = xr.open_dataset(fn_manual_classifications)\n",
+    "else:\n",
+    "    print('File format not supported')\n",
+    "# mask_ICON_IR_DOM02 = xr.open_zarr(fn_ICON_IR_DOM02)\n",
+    "# mask_ABI_IR_DOM02 = xr.open_zarr(fn_ABI_IR_DOM02)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "metadata": {},
+   "outputs": [
+    {
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+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
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+       "  color: var(--xr-font-color3);\n",
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+       "\n",
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+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
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+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
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+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
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+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
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+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
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+       "  grid-column: 1;\n",
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+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
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+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
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+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
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+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
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+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
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+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
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+       ".xr-var-data {\n",
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+       ".xr-attrs dt,\n",
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+       "\n",
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+       "  font-weight: normal;\n",
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+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
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+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;date&#x27; (date: 564)&gt;\n",
+       "array([&#x27;2020-01-07T00:00:00.000000000&#x27;, &#x27;2020-01-07T02:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-07T04:00:00.000000000&#x27;, ..., &#x27;2020-02-22T18:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-02-22T20:00:00.000000000&#x27;, &#x27;2020-02-22T22:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)\n",
+       "Coordinates:\n",
+       "  * date     (date) datetime64[ns] 2020-01-07 ... 2020-02-22T22:00:00\n",
+       "Attributes:\n",
+       "    standard_name:  time</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'date'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>date</span>: 564</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d6fdff43-34d9-4167-9932-3ffe3bd8e7d5' class='xr-array-in' type='checkbox' checked><label for='section-d6fdff43-34d9-4167-9932-3ffe3bd8e7d5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2020-01-07 2020-01-07T02:00:00 ... 2020-02-22T22:00:00</span></div><div class='xr-array-data'><pre>array([&#x27;2020-01-07T00:00:00.000000000&#x27;, &#x27;2020-01-07T02:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-07T04:00:00.000000000&#x27;, ..., &#x27;2020-02-22T18:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-02-22T20:00:00.000000000&#x27;, &#x27;2020-02-22T22:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-2e77b882-d7c1-4f8d-83a5-87bf3d5d781d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2e77b882-d7c1-4f8d-83a5-87bf3d5d781d' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>date</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-07 ... 2020-02-22T22:00:00</div><input id='attrs-2182ae82-41a5-492e-a801-cdc9852f998b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2182ae82-41a5-492e-a801-cdc9852f998b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32e6f1fc-f332-45a9-9140-9b22b2a5e6c8' class='xr-var-data-in' type='checkbox'><label for='data-32e6f1fc-f332-45a9-9140-9b22b2a5e6c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-01-07T00:00:00.000000000&#x27;, &#x27;2020-01-07T02:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-07T04:00:00.000000000&#x27;, ..., &#x27;2020-02-22T18:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-02-22T20:00:00.000000000&#x27;, &#x27;2020-02-22T22:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f459defc-18e9-4d61-8fc4-ef719ed2ce61' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f459defc-18e9-4d61-8fc4-ef719ed2ce61' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'date' (date: 564)>\n",
+       "array(['2020-01-07T00:00:00.000000000', '2020-01-07T02:00:00.000000000',\n",
+       "       '2020-01-07T04:00:00.000000000', ..., '2020-02-22T18:00:00.000000000',\n",
+       "       '2020-02-22T20:00:00.000000000', '2020-02-22T22:00:00.000000000'],\n",
+       "      dtype='datetime64[ns]')\n",
+       "Coordinates:\n",
+       "  * date     (date) datetime64[ns] 2020-01-07 ... 2020-02-22T22:00:00\n",
+       "Attributes:\n",
+       "    standard_name:  time"
+      ]
+     },
+     "execution_count": 89,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask_manual_classifications.date"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
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+       "  padding-right: 10px;\n",
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+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
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+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
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+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:    (latitude: 1400, longitude: 2100, pattern: 4, time: 17144)\n",
+       "Coordinates:\n",
+       "  * latitude   (latitude) float64 24.0 23.99 23.98 23.97 ... 10.02 10.01 10.0\n",
+       "  * longitude  (longitude) float64 -61.0 -60.99 -60.98 ... -40.02 -40.01 -40.0\n",
+       "  * pattern    (pattern) object &#x27;Sugar&#x27; &#x27;Gravel&#x27; &#x27;Flowers&#x27; &#x27;Fish&#x27;\n",
+       "  * time       (time) datetime64[ns] 2018-01-01T00:00:38.700000 ... 2020-03-3...\n",
+       "Data variables:\n",
+       "    mask       (time, longitude, latitude, pattern) object dask.array&lt;chunksize=(1, 2100, 1400, 4), meta=np.ndarray&gt;\n",
+       "Attributes:\n",
+       "    author:          Hauke Schulz (hauke.schulz@mpimet.mpg.de)\n",
+       "    created_on:      2020-10-12 16:33 UTC\n",
+       "    description:     NN detections of meso-scale cloud patterns\n",
+       "    institute:       Max Planck Institut für Meteorologie, Germany\n",
+       "    python_version:  3.6.8 |Anaconda, Inc.| (default, Dec 30 2018, 01:22:34) ...\n",
+       "    title:           IR neural network meso-scale cloud pattern classifications</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-90fdb4ba-a45c-4259-8ac2-628e5d6cbc48' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-90fdb4ba-a45c-4259-8ac2-628e5d6cbc48' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 1400</li><li><span class='xr-has-index'>longitude</span>: 2100</li><li><span class='xr-has-index'>pattern</span>: 4</li><li><span class='xr-has-index'>time</span>: 17144</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e99ba54b-bfa0-41e9-9bbe-05fc42649341' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e99ba54b-bfa0-41e9-9bbe-05fc42649341' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>24.0 23.99 23.98 ... 10.01 10.0</div><input id='attrs-4ede204e-ef43-4b4a-b1f3-a04bad8c56d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ede204e-ef43-4b4a-b1f3-a04bad8c56d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c595150-5430-47fd-b6c3-d806f57b494b' class='xr-var-data-in' type='checkbox'><label for='data-8c595150-5430-47fd-b6c3-d806f57b494b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><div class='xr-var-data'><pre>array([24.      , 23.989993, 23.979986, ..., 10.020014, 10.010007, 10.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-61.0 -60.99 ... -40.01 -40.0</div><input id='attrs-d1e2e6f1-e570-4a75-a70b-b66d5b2dc526' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1e2e6f1-e570-4a75-a70b-b66d5b2dc526' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd222ab2-6203-4e31-935a-9c52dd1da0b4' class='xr-var-data-in' type='checkbox'><label for='data-fd222ab2-6203-4e31-935a-9c52dd1da0b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><div class='xr-var-data'><pre>array([-61.      , -60.989995, -60.97999 , ..., -40.02001 , -40.010005,\n",
+       "       -40.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>pattern</span></div><div class='xr-var-dims'>(pattern)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Sugar&#x27; &#x27;Gravel&#x27; &#x27;Flowers&#x27; &#x27;Fish&#x27;</div><input id='attrs-862ebeb5-fe1d-4480-ab80-c71b841d341b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-862ebeb5-fe1d-4480-ab80-c71b841d341b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3878a802-f24f-4fdc-9879-a4742c0ea8c5' class='xr-var-data-in' type='checkbox'><label for='data-3878a802-f24f-4fdc-9879-a4742c0ea8c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Sugar&#x27;, &#x27;Gravel&#x27;, &#x27;Flowers&#x27;, &#x27;Fish&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2018-01-01T00:00:38.700000 ... 2...</div><input id='attrs-ad205690-ac33-4c54-89c8-b3112a963879' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad205690-ac33-4c54-89c8-b3112a963879' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-220d6cb6-8d4e-48e5-90ce-596c900d83e4' class='xr-var-data-in' type='checkbox'><label for='data-220d6cb6-8d4e-48e5-90ce-596c900d83e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>classification id (basically each sighting of an image has a unique id)</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2018-01-01T00:00:38.700000000&#x27;, &#x27;2018-01-01T00:30:38.700000000&#x27;,\n",
+       "       &#x27;2018-01-01T01:00:38.700000000&#x27;, ..., &#x27;2020-03-31T22:30:21.100000000&#x27;,\n",
+       "       &#x27;2020-03-31T23:00:21.100000000&#x27;, &#x27;2020-03-31T23:30:21.100000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-23dd21f1-d24e-4005-b005-bfef268498db' class='xr-section-summary-in' type='checkbox'  checked><label for='section-23dd21f1-d24e-4005-b005-bfef268498db' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>mask</span></div><div class='xr-var-dims'>(time, longitude, latitude, pattern)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2100, 1400, 4), meta=np.ndarray&gt;</div><input id='attrs-ac8568aa-f74e-45d9-b363-8f922972a7b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac8568aa-f74e-45d9-b363-8f922972a7b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bb8b2ac-deee-450f-8f1d-63fcf2eb2c97' class='xr-var-data-in' type='checkbox'><label for='data-8bb8b2ac-deee-450f-8f1d-63fcf2eb2c97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>classification mask for every single pattern and classification_id</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "  <tbody>\n",
+       "    <tr><th> Bytes </th><td> 1.47 TiB </td> <td> 89.72 MiB </td></tr>\n",
+       "    <tr><th> Shape </th><td> (17144, 2100, 1400, 4) </td> <td> (1, 2100, 1400, 4) </td></tr>\n",
+       "    <tr><th> Count </th><td> 17145 Tasks </td><td> 17144 Chunks </td></tr>\n",
+       "    <tr><th> Type </th><td> object </td><td> numpy.ndarray </td></tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
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+       "  <text x=\"258.758895\" y=\"42.069346\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,258.758895,42.069346)\">1400</text>\n",
+       "  <text x=\"191.673139\" y=\"69.119275\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,191.673139,69.119275)\">2100</text>\n",
+       "</svg>\n",
+       "</td>\n",
+       "</tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-84050d77-622d-448a-a95a-754182e71bf9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-84050d77-622d-448a-a95a-754182e71bf9' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>author :</span></dt><dd>Hauke Schulz (hauke.schulz@mpimet.mpg.de)</dd><dt><span>created_on :</span></dt><dd>2020-10-12 16:33 UTC</dd><dt><span>description :</span></dt><dd>NN detections of meso-scale cloud patterns</dd><dt><span>institute :</span></dt><dd>Max Planck Institut für Meteorologie, Germany</dd><dt><span>python_version :</span></dt><dd>3.6.8 |Anaconda, Inc.| (default, Dec 30 2018, 01:22:34) \n",
+       "[GCC 7.3.0]</dd><dt><span>title :</span></dt><dd>IR neural network meso-scale cloud pattern classifications</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:    (latitude: 1400, longitude: 2100, pattern: 4, time: 17144)\n",
+       "Coordinates:\n",
+       "  * latitude   (latitude) float64 24.0 23.99 23.98 23.97 ... 10.02 10.01 10.0\n",
+       "  * longitude  (longitude) float64 -61.0 -60.99 -60.98 ... -40.02 -40.01 -40.0\n",
+       "  * pattern    (pattern) object 'Sugar' 'Gravel' 'Flowers' 'Fish'\n",
+       "  * time       (time) datetime64[ns] 2018-01-01T00:00:38.700000 ... 2020-03-3...\n",
+       "Data variables:\n",
+       "    mask       (time, longitude, latitude, pattern) object dask.array<chunksize=(1, 2100, 1400, 4), meta=np.ndarray>\n",
+       "Attributes:\n",
+       "    author:          Hauke Schulz (hauke.schulz@mpimet.mpg.de)\n",
+       "    created_on:      2020-10-12 16:33 UTC\n",
+       "    description:     NN detections of meso-scale cloud patterns\n",
+       "    institute:       Max Planck Institut für Meteorologie, Germany\n",
+       "    python_version:  3.6.8 |Anaconda, Inc.| (default, Dec 30 2018, 01:22:34) ...\n",
+       "    title:           IR neural network meso-scale cloud pattern classifications"
+      ]
+     },
+     "execution_count": 90,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask_ABI_IR"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def interSection(arr1,arr2): # finding common elements\n",
+    "    print('yey')\n",
+    "    values = list(filter(lambda x: x in arr1, arr2))\n",
+    "    print('whuhu')\n",
+    "    return values\n",
+    "\n",
+    "def merge_mask(mask):\n",
+    "    \"\"\"Merge mask along time dimension (has to be first dimension)\n",
+    "    \"\"\"\n",
+    "    return np.any(~np.isnan(mask.astype(\"float\")), axis=0)\n",
+    "\n",
+    "def iou_one_class_from_annos(arr1, arr2, return_iou=False):\n",
+    "    \"\"\"\n",
+    "    Returns the IoU from lists of [x, y, w, h] annotations.\n",
+    "    Image size must be given because arrays are created internally.\n",
+    "    If return_iou is True, the actual IoU score is computed,\n",
+    "    otherwise i, u will be returned.\n",
+    "    \n",
+    "    >>> iou_one_class_from_annos([False,True],[False,False],return_iou=True)\n",
+    "    0.0\n",
+    "    >>> iou_one_class_from_annos([False,True],[True,False],return_iou=True)\n",
+    "    0.0\n",
+    "    >>> iou_one_class_from_annos([False,True],[True,True],return_iou=True)\n",
+    "    0.5\n",
+    "    >>> iou_one_class_from_annos([False,False],[False,False],return_iou=True)\n",
+    "    np.nan\n",
+    "    \n",
+    "    \"\"\"\n",
+    "    i = intersect_from_arrs(arr1, arr2)\n",
+    "    u = union_from_arrs(arr1, arr2)\n",
+    "    if return_iou:\n",
+    "        if u > 0:\n",
+    "            return i/u\n",
+    "        # only exists in one of the inputs\n",
+    "        elif u == 0 and np.any([arr1, arr2]):\n",
+    "            return 0\n",
+    "        # no identifications in any input\n",
+    "        else:\n",
+    "            return np.nan\n",
+    "    else:\n",
+    "        return i, u\n",
+    "\n",
+    "def intersect_from_arrs(arr1, arr2):\n",
+    "    \"\"\"Applies bitwise_and followed by a sum. Note that the sum operation is expensive.\"\"\"\n",
+    "    return np.sum(np.bitwise_and(arr1, arr2))\n",
+    "\n",
+    "\n",
+    "def union_from_arrs(arr1, arr2):\n",
+    "    \"\"\"Applies bitwise_or followed by a sum. Note that the sum operation is expensive.\"\"\"\n",
+    "    return np.sum(np.bitwise_or(arr1, arr2))\n",
+    "\n",
+    "\n",
+    "def identify_where_class_missing(arr1,arr2):\n",
+    "    \"\"\"\n",
+    "    Identify which input array does not contain\n",
+    "    any labels.\n",
+    "    >>> identify_where_class_missing([[True, False],[True, False]],[[False, False],[False, False]])\n",
+    "    2\n",
+    "    >>> identify_where_class_missing([False],[True])\n",
+    "    1\n",
+    "    >>> identify_where_class_missing([False],[False])\n",
+    "    3\n",
+    "    >>> identify_where_class_missing([True],[True])\n",
+    "    0\n",
+    "    \"\"\"\n",
+    "    missing_arr1 = not np.any(arr1)\n",
+    "    missing_arr2 = not np.any(arr2)\n",
+    "    if not missing_arr1 and not missing_arr2:\n",
+    "        return 0\n",
+    "    elif missing_arr1 and not missing_arr2:\n",
+    "        return 1\n",
+    "    elif missing_arr2 and not missing_arr1:\n",
+    "        return 2\n",
+    "    elif missing_arr1 and missing_arr2:\n",
+    "        return 3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# lat0, lat1, lon0, lon1 = [7.5, 17, -60.25, -45]\n",
+    "lat0, lat1, lon0, lon1 = [10, 20, -58, -48]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "color_dict = {'Sugar':'#A1D791','Fish':'#2281BB','Gravel':'#3EAE47', 'Flowers': '#93D2E2'}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# time_set_A = set(mask_ABI_IR.time.dt.floor(freq='1D').values)\n",
+    "time_set_A = set(mask_ABI_IR.time.dt.floor(freq='1T').values)\n",
+    "time_set_B = set(mask_manual_classifications.date.values)\n",
+    "common_dates = np.array([*time_set_A.intersection(time_set_B)])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "46.583333333333336"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(common_dates)/12"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# time_mask_ABIIR = np.in1d(mask_ABI_IR.time.dt.floor(freq='1D').values,common_dates)\n",
+    "time_mask_ABIIR = np.in1d(mask_ABI_IR.time.dt.floor(freq='1T').values,common_dates)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mask_ABI_IR_timesel = mask_ABI_IR.sel(time=time_mask_ABIIR)\n",
+    "# mask_ABI_IR_timesel['date'] = mask_ABI_IR_timesel.time.dt.floor(freq='1D')\n",
+    "mask_ABI_IR_timesel['date'] = mask_ABI_IR_timesel.time.dt.floor(freq='1T')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mask_manual_timesel = mask_manual_classifications.sel(date=common_dates)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "  0%|          | 0/559 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Find common times to all datasets\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 559/559 [47:13<00:00,  5.07s/it] \n"
+     ]
+    }
+   ],
+   "source": [
+    "results = {}\n",
+    "\n",
+    "print(\"Find common times to all datasets\")\n",
+    "times_of_interest = sorted(np.unique(common_dates))\n",
+    "\n",
+    "sizes_calculated = False\n",
+    "\n",
+    "for ii, i in enumerate(tqdm.tqdm(range(len(times_of_interest)))):\n",
+    "    mask_ABI_IR_timestep = mask_ABI_IR_timesel.where(mask_ABI_IR_timesel.date == times_of_interest[i], drop=True)\n",
+    "    mask_manual_timestep = mask_manual_timesel.sel(date=times_of_interest[i])\n",
+    "    \n",
+    "\n",
+    "\n",
+    "    mask_ABI_IR_timestep = mask_ABI_IR_timestep.sel(latitude=slice(lat1, lat0),longitude=slice(lon0, lon1))\n",
+    "    mask_manual_timestep = mask_manual_timestep.sel(latitude=slice(lat1, lat0),longitude=slice(lon0, lon1))\n",
+    "        \n",
+    "    if sizes_calculated is False:\n",
+    "        size_ABI = len(mask_ABI_IR_timestep.latitude)*len(mask_ABI_IR_timestep.longitude)\n",
+    "        size_manual = len(mask_manual_timestep.latitude)*len(mask_manual_timestep.longitude)\n",
+    "        sizes_calculated = True\n",
+    "        \n",
+    "# for d, date in enumerate(tqdm.tqdm(dates_in_all_datasets)):\n",
+    "    pattern_results = {}\n",
+    "    \n",
+    "    for pattern in ['Sugar', 'Gravel', 'Flowers', 'Fish']:\n",
+    "        arr_ABI = mask_ABI_IR_timestep.mask.sel(pattern=pattern)\n",
+    "        arr_manual = mask_manual_timestep.freq.sel(pattern=pattern)\n",
+    "        pattern_results[pattern] = {}\n",
+    "        \n",
+    "        merged_mask_ABI = merge_mask(arr_ABI)\n",
+    "        merged_mask_manual = arr_manual > 0.1 #merge_mask(arr_ABI_IR)\n",
+    "        \n",
+    "        merged_mask_ABI = merged_mask_ABI.fillna(False).astype(bool).load()\n",
+    "        merged_mask_manual = merged_mask_manual.load()\n",
+    "        \n",
+    "        pattern_results[pattern][\"area_fraction_ABI\"] = np.count_nonzero(merged_mask_ABI)/size_ABI\n",
+    "        pattern_results[pattern][\"area_fraction_Manual\"] = np.count_nonzero(merged_mask_manual)/size_manual\n",
+    "        \n",
+    "#         iou_ABI_Manual = iou_one_class_from_annos(merged_mask_ABI.values,\n",
+    "#                                                 merged_mask_manual.values,\n",
+    "#                                                 return_iou = True)\n",
+    "#         print(iou_ABI_Manual)\n",
+    "#         pattern_results[pattern][\"iou_ABI_Manual\"] = iou_ABI_Manual\n",
+    "        pattern_results[pattern][\"missing_ABI_Manual\"] = identify_where_class_missing(merged_mask_ABI,\n",
+    "                                                                                    merged_mask_manual)\n",
+    "        \n",
+    "    \n",
+    "    results[times_of_interest[i]] = pattern_results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame.from_dict(results, orient='index')\n",
+    "df.to_pickle('agreement_results_ABI-IR_vs_manualICONalb_20211117.pkl')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "df = pd.DataFrame.from_dict(results, orient='index')\n",
+    "df.to_pickle('agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_{n:04d}_20210511.pkl'.format(n=d))## Analyze agreement"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import glob"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "agreement_results_ABI-IR_vs_ICON-DOM01_20210930.pkl\r\n",
+      "agreement_results_ABI-IR_vs_ICON-DOM01_20211003.pkl\r\n",
+      "agreement_results_ABI-IR_vs_ICON-DOM02_20211006.pkl\r\n",
+      "agreement_results_ABI-IR_vs_ICON-DOM02_20211007.pkl\r\n",
+      "agreement_results_ABI-IR_vs_manual_20211111.pkl\r\n",
+      "agreement_results_ABI-IR_vs_manual_20211112.pkl\r\n",
+      "agreement_results_ABI-IR_vs_manualICONalb_20211117.pkl\r\n",
+      "agreement_results_ABI-IR_vs_manualVIS_20211117.pkl\r\n",
+      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0100_20210511.pkl\r\n",
+      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0100.pkl\r\n",
+      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0200_20210511.pkl\r\n",
+      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0200.pkl\r\n",
+      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0300_20210511.pkl\r\n",
+      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0300.pkl\r\n",
+      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0332_20210511.pkl\r\n",
+      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0400.pkl\r\n",
+      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0500.pkl\r\n",
+      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0600.pkl\r\n",
+      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0698.pkl\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "!ls agreement_results*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 125,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def rename_keys(dic, string):\n",
+    "    if isinstance(dic, dict):\n",
+    "        dic_new = {}\n",
+    "        for k,v in dic.items():\n",
+    "            dic_new[k.replace('Manual',string)] = v\n",
+    "        return dic_new\n",
+    "    return dic"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 143,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['agreement_results_ABI-IR_vs_manualICONalb_20211117.pkl'\n",
+      " 'agreement_results_ABI-IR_vs_manualVIS_20211117.pkl'\n",
+      " 'agreement_results_ABI-IR_vs_manual_20211112.pkl']\n",
+      "moya\n",
+      "eya\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Read output created by agreement_NN.py\n",
+    "agreement_files = np.array(sorted(glob.glob(\"agreement_results_ABI-IR_vs_manual*_2021111[27].pkl\")))\n",
+    "# agreement_files = np.array(sorted(glob.glob(\"agreement_results_ABI-IR_vs_manual_20211112.pkl\")))\n",
+    "# agreement_files = np.array(sorted(glob.glob(\"agreement_results_ABI-IR_vs_manual_20211111.pkl\")))\n",
+    "# agreement_files = np.array(sorted(glob.glob(\"agreement_results_ABI-IR_vs_ICON-DOM02_20211007.pkl\")))\n",
+    "print(agreement_files)\n",
+    "dataframes = [None]*len(agreement_files)\n",
+    "for f,file in enumerate(agreement_files):\n",
+    "    dataframes[f] = pd.read_pickle(file)\n",
+    "    if 'manualVIS' in file:\n",
+    "        dataframes[f]=dataframes[f].applymap(lambda x: rename_keys(x, 'ManualVIS'))\n",
+    "    elif 'manualICONalb' in file:\n",
+    "        dataframes[f]=dataframes[f].applymap(lambda x: rename_keys(x, 'ManualICON'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 127,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'1.3.4'"
+      ]
+     },
+     "execution_count": 127,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.__version__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 144,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Sugar</th>\n",
+       "      <th>Gravel</th>\n",
+       "      <th>Flowers</th>\n",
+       "      <th>Fish</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2020-01-07 02:00:00</th>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.82656, 'area_fraction_...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-07 04:00:00</th>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.9, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-07 06:00:00</th>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.784131, 'area_fraction...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-07 08:00:00</th>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.800765, 'area_fraction...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-07 10:00:00</th>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.817747, 'area_fraction...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                                 Sugar  \\\n",
+       "2020-01-07 02:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
+       "2020-01-07 04:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
+       "2020-01-07 06:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
+       "2020-01-07 08:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
+       "2020-01-07 10:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
+       "\n",
+       "                                                                Gravel  \\\n",
+       "2020-01-07 02:00:00  {'area_fraction_ABI': 0.82656, 'area_fraction_...   \n",
+       "2020-01-07 04:00:00  {'area_fraction_ABI': 0.9, 'area_fraction_Manu...   \n",
+       "2020-01-07 06:00:00  {'area_fraction_ABI': 0.784131, 'area_fraction...   \n",
+       "2020-01-07 08:00:00  {'area_fraction_ABI': 0.800765, 'area_fraction...   \n",
+       "2020-01-07 10:00:00  {'area_fraction_ABI': 0.817747, 'area_fraction...   \n",
+       "\n",
+       "                                                               Flowers  \\\n",
+       "2020-01-07 02:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
+       "2020-01-07 04:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
+       "2020-01-07 06:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
+       "2020-01-07 08:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
+       "2020-01-07 10:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
+       "\n",
+       "                                                                  Fish  \n",
+       "2020-01-07 02:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...  \n",
+       "2020-01-07 04:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...  \n",
+       "2020-01-07 06:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...  \n",
+       "2020-01-07 08:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...  \n",
+       "2020-01-07 10:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...  "
+      ]
+     },
+     "execution_count": 144,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_all = pd.concat(dataframes);\n",
+    "df_all.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mask = (df_all.index >= '2020-01-07') & (df_all.index <= '2020-02-22')\n",
+    "# IOP\n",
+    "#20 January and 20 February 2020\n",
+    "# mask = (df_all.index >= '2020-01-20') & (df_all.index <= '2020-02-20')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 146,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_all = df_all.loc[mask]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Sugar_df = df_all.Sugar.apply(pd.Series)\n",
+    "Gravel_df = df_all.Gravel.apply(pd.Series)\n",
+    "Flowers_df = df_all.Flowers.apply(pd.Series)\n",
+    "Fish_df = df_all.Fish.apply(pd.Series)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 148,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for df,p in zip([Sugar_df, Gravel_df, Fish_df, Flowers_df], ['Sugar','Gravel','Fish','Flowers']):\n",
+    "    rename_dict = {}\n",
+    "    for c in df.columns:\n",
+    "        rename_dict[c]=p+\"_\"+c\n",
+    "    df.rename(columns=rename_dict, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 149,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from functools import reduce\n",
+    "df_all = reduce(lambda  left,right: pd.merge(left,right,left_index=True,right_index=True,\n",
+    "                                            how='outer'), [Sugar_df, Gravel_df, Flowers_df, Fish_df])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 150,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Sugar_area_fraction_ABI</th>\n",
+       "      <th>Sugar_area_fraction_ManualICON</th>\n",
+       "      <th>Sugar_missing_ABI_ManualICON</th>\n",
+       "      <th>Sugar_area_fraction_ManualVIS</th>\n",
+       "      <th>Sugar_missing_ABI_ManualVIS</th>\n",
+       "      <th>Sugar_area_fraction_Manual</th>\n",
+       "      <th>Sugar_iou_ABI_Manual</th>\n",
+       "      <th>Sugar_missing_ABI_Manual</th>\n",
+       "      <th>Gravel_area_fraction_ABI</th>\n",
+       "      <th>Gravel_area_fraction_ManualICON</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Flowers_iou_ABI_Manual</th>\n",
+       "      <th>Flowers_missing_ABI_Manual</th>\n",
+       "      <th>Fish_area_fraction_ABI</th>\n",
+       "      <th>Fish_area_fraction_ManualICON</th>\n",
+       "      <th>Fish_missing_ABI_ManualICON</th>\n",
+       "      <th>Fish_area_fraction_ManualVIS</th>\n",
+       "      <th>Fish_missing_ABI_ManualVIS</th>\n",
+       "      <th>Fish_area_fraction_Manual</th>\n",
+       "      <th>Fish_iou_ABI_Manual</th>\n",
+       "      <th>Fish_missing_ABI_Manual</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2020-01-07 02:00:00</th>\n",
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+       "      <td>3.0</td>\n",
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+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.826560</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-07 02:00:00</th>\n",
+       "      <td>0.000000</td>\n",
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+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.826560</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-07 02:00:00</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.826560</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>NaN</td>\n",
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+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
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+       "      <th>2020-01-07 02:00:00</th>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>3.0</td>\n",
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+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
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+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
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+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
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+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "      <th>2020-02-22 00:00:00</th>\n",
+       "      <td>0.548682</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.299228</td>\n",
+       "      <td>0.383417</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.338272</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-02-22 00:00:00</th>\n",
+       "      <td>0.548682</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.299228</td>\n",
+       "      <td>0.383417</td>\n",
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+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>0.342138</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-02-22 00:00:00</th>\n",
+       "      <td>0.548682</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.299228</td>\n",
+       "      <td>0.383417</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.338272</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-02-22 00:00:00</th>\n",
+       "      <td>0.548682</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.299228</td>\n",
+       "      <td>0.383417</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.338272</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-02-22 00:00:00</th>\n",
+       "      <td>0.548682</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.299228</td>\n",
+       "      <td>0.383417</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.338272</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.342138</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>44388 rows × 32 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     Sugar_area_fraction_ABI  Sugar_area_fraction_ManualICON  \\\n",
+       "2020-01-07 02:00:00                 0.000000                             0.0   \n",
+       "2020-01-07 02:00:00                 0.000000                             0.0   \n",
+       "2020-01-07 02:00:00                 0.000000                             0.0   \n",
+       "2020-01-07 02:00:00                 0.000000                             0.0   \n",
+       "2020-01-07 02:00:00                 0.000000                             0.0   \n",
+       "...                                      ...                             ...   \n",
+       "2020-02-22 00:00:00                 0.548682                             NaN   \n",
+       "2020-02-22 00:00:00                 0.548682                             NaN   \n",
+       "2020-02-22 00:00:00                 0.548682                             NaN   \n",
+       "2020-02-22 00:00:00                 0.548682                             NaN   \n",
+       "2020-02-22 00:00:00                 0.548682                             NaN   \n",
+       "\n",
+       "                     Sugar_missing_ABI_ManualICON  \\\n",
+       "2020-01-07 02:00:00                           3.0   \n",
+       "2020-01-07 02:00:00                           3.0   \n",
+       "2020-01-07 02:00:00                           3.0   \n",
+       "2020-01-07 02:00:00                           3.0   \n",
+       "2020-01-07 02:00:00                           3.0   \n",
+       "...                                           ...   \n",
+       "2020-02-22 00:00:00                           NaN   \n",
+       "2020-02-22 00:00:00                           NaN   \n",
+       "2020-02-22 00:00:00                           NaN   \n",
+       "2020-02-22 00:00:00                           NaN   \n",
+       "2020-02-22 00:00:00                           NaN   \n",
+       "\n",
+       "                     Sugar_area_fraction_ManualVIS  \\\n",
+       "2020-01-07 02:00:00                            NaN   \n",
+       "2020-01-07 02:00:00                            NaN   \n",
+       "2020-01-07 02:00:00                            NaN   \n",
+       "2020-01-07 02:00:00                            NaN   \n",
+       "2020-01-07 02:00:00                            NaN   \n",
+       "...                                            ...   \n",
+       "2020-02-22 00:00:00                            NaN   \n",
+       "2020-02-22 00:00:00                            NaN   \n",
+       "2020-02-22 00:00:00                            NaN   \n",
+       "2020-02-22 00:00:00                            NaN   \n",
+       "2020-02-22 00:00:00                            NaN   \n",
+       "\n",
+       "                     Sugar_missing_ABI_ManualVIS  Sugar_area_fraction_Manual  \\\n",
+       "2020-01-07 02:00:00                          NaN                         NaN   \n",
+       "2020-01-07 02:00:00                          NaN                         NaN   \n",
+       "2020-01-07 02:00:00                          NaN                         NaN   \n",
+       "2020-01-07 02:00:00                          NaN                         NaN   \n",
+       "2020-01-07 02:00:00                          NaN                         NaN   \n",
+       "...                                          ...                         ...   \n",
+       "2020-02-22 00:00:00                          NaN                    0.299228   \n",
+       "2020-02-22 00:00:00                          NaN                    0.299228   \n",
+       "2020-02-22 00:00:00                          NaN                    0.299228   \n",
+       "2020-02-22 00:00:00                          NaN                    0.299228   \n",
+       "2020-02-22 00:00:00                          NaN                    0.299228   \n",
+       "\n",
+       "                     Sugar_iou_ABI_Manual  Sugar_missing_ABI_Manual  \\\n",
+       "2020-01-07 02:00:00                   NaN                       NaN   \n",
+       "2020-01-07 02:00:00                   NaN                       NaN   \n",
+       "2020-01-07 02:00:00                   NaN                       NaN   \n",
+       "2020-01-07 02:00:00                   NaN                       NaN   \n",
+       "2020-01-07 02:00:00                   NaN                       NaN   \n",
+       "...                                   ...                       ...   \n",
+       "2020-02-22 00:00:00              0.383417                       0.0   \n",
+       "2020-02-22 00:00:00              0.383417                       0.0   \n",
+       "2020-02-22 00:00:00              0.383417                       0.0   \n",
+       "2020-02-22 00:00:00              0.383417                       0.0   \n",
+       "2020-02-22 00:00:00              0.383417                       0.0   \n",
+       "\n",
+       "                     Gravel_area_fraction_ABI  \\\n",
+       "2020-01-07 02:00:00                  0.826560   \n",
+       "2020-01-07 02:00:00                  0.826560   \n",
+       "2020-01-07 02:00:00                  0.826560   \n",
+       "2020-01-07 02:00:00                  0.826560   \n",
+       "2020-01-07 02:00:00                  0.826560   \n",
+       "...                                       ...   \n",
+       "2020-02-22 00:00:00                  0.338272   \n",
+       "2020-02-22 00:00:00                  0.338272   \n",
+       "2020-02-22 00:00:00                  0.338272   \n",
+       "2020-02-22 00:00:00                  0.338272   \n",
+       "2020-02-22 00:00:00                  0.338272   \n",
+       "\n",
+       "                     Gravel_area_fraction_ManualICON  ...  \\\n",
+       "2020-01-07 02:00:00                              0.0  ...   \n",
+       "2020-01-07 02:00:00                              0.0  ...   \n",
+       "2020-01-07 02:00:00                              0.0  ...   \n",
+       "2020-01-07 02:00:00                              0.0  ...   \n",
+       "2020-01-07 02:00:00                              0.0  ...   \n",
+       "...                                              ...  ...   \n",
+       "2020-02-22 00:00:00                              NaN  ...   \n",
+       "2020-02-22 00:00:00                              NaN  ...   \n",
+       "2020-02-22 00:00:00                              NaN  ...   \n",
+       "2020-02-22 00:00:00                              NaN  ...   \n",
+       "2020-02-22 00:00:00                              NaN  ...   \n",
+       "\n",
+       "                     Flowers_iou_ABI_Manual  Flowers_missing_ABI_Manual  \\\n",
+       "2020-01-07 02:00:00                     NaN                         NaN   \n",
+       "2020-01-07 02:00:00                     NaN                         NaN   \n",
+       "2020-01-07 02:00:00                     NaN                         NaN   \n",
+       "2020-01-07 02:00:00                     NaN                         NaN   \n",
+       "2020-01-07 02:00:00                     NaN                         NaN   \n",
+       "...                                     ...                         ...   \n",
+       "2020-02-22 00:00:00                     NaN                         NaN   \n",
+       "2020-02-22 00:00:00                     NaN                         NaN   \n",
+       "2020-02-22 00:00:00                     NaN                         3.0   \n",
+       "2020-02-22 00:00:00                     NaN                         3.0   \n",
+       "2020-02-22 00:00:00                     NaN                         3.0   \n",
+       "\n",
+       "                     Fish_area_fraction_ABI  Fish_area_fraction_ManualICON  \\\n",
+       "2020-01-07 02:00:00                     0.0                            0.0   \n",
+       "2020-01-07 02:00:00                     0.0                            NaN   \n",
+       "2020-01-07 02:00:00                     0.0                            NaN   \n",
+       "2020-01-07 02:00:00                     0.0                            0.0   \n",
+       "2020-01-07 02:00:00                     0.0                            NaN   \n",
+       "...                                     ...                            ...   \n",
+       "2020-02-22 00:00:00                     0.0                            NaN   \n",
+       "2020-02-22 00:00:00                     0.0                            NaN   \n",
+       "2020-02-22 00:00:00                     0.0                            0.0   \n",
+       "2020-02-22 00:00:00                     0.0                            NaN   \n",
+       "2020-02-22 00:00:00                     0.0                            NaN   \n",
+       "\n",
+       "                     Fish_missing_ABI_ManualICON  \\\n",
+       "2020-01-07 02:00:00                          3.0   \n",
+       "2020-01-07 02:00:00                          NaN   \n",
+       "2020-01-07 02:00:00                          NaN   \n",
+       "2020-01-07 02:00:00                          3.0   \n",
+       "2020-01-07 02:00:00                          NaN   \n",
+       "...                                          ...   \n",
+       "2020-02-22 00:00:00                          NaN   \n",
+       "2020-02-22 00:00:00                          NaN   \n",
+       "2020-02-22 00:00:00                          3.0   \n",
+       "2020-02-22 00:00:00                          NaN   \n",
+       "2020-02-22 00:00:00                          NaN   \n",
+       "\n",
+       "                     Fish_area_fraction_ManualVIS  Fish_missing_ABI_ManualVIS  \\\n",
+       "2020-01-07 02:00:00                           NaN                         NaN   \n",
+       "2020-01-07 02:00:00                           0.0                         3.0   \n",
+       "2020-01-07 02:00:00                           NaN                         NaN   \n",
+       "2020-01-07 02:00:00                           NaN                         NaN   \n",
+       "2020-01-07 02:00:00                           0.0                         3.0   \n",
+       "...                                           ...                         ...   \n",
+       "2020-02-22 00:00:00                           0.0                         3.0   \n",
+       "2020-02-22 00:00:00                           NaN                         NaN   \n",
+       "2020-02-22 00:00:00                           NaN                         NaN   \n",
+       "2020-02-22 00:00:00                           0.0                         3.0   \n",
+       "2020-02-22 00:00:00                           NaN                         NaN   \n",
+       "\n",
+       "                     Fish_area_fraction_Manual  Fish_iou_ABI_Manual  \\\n",
+       "2020-01-07 02:00:00                        NaN                  NaN   \n",
+       "2020-01-07 02:00:00                        NaN                  NaN   \n",
+       "2020-01-07 02:00:00                   0.000000                  NaN   \n",
+       "2020-01-07 02:00:00                        NaN                  NaN   \n",
+       "2020-01-07 02:00:00                        NaN                  NaN   \n",
+       "...                                        ...                  ...   \n",
+       "2020-02-22 00:00:00                        NaN                  NaN   \n",
+       "2020-02-22 00:00:00                   0.342138                  0.0   \n",
+       "2020-02-22 00:00:00                        NaN                  NaN   \n",
+       "2020-02-22 00:00:00                        NaN                  NaN   \n",
+       "2020-02-22 00:00:00                   0.342138                  0.0   \n",
+       "\n",
+       "                     Fish_missing_ABI_Manual  \n",
+       "2020-01-07 02:00:00                      NaN  \n",
+       "2020-01-07 02:00:00                      NaN  \n",
+       "2020-01-07 02:00:00                      3.0  \n",
+       "2020-01-07 02:00:00                      NaN  \n",
+       "2020-01-07 02:00:00                      NaN  \n",
+       "...                                      ...  \n",
+       "2020-02-22 00:00:00                      NaN  \n",
+       "2020-02-22 00:00:00                      1.0  \n",
+       "2020-02-22 00:00:00                      NaN  \n",
+       "2020-02-22 00:00:00                      NaN  \n",
+       "2020-02-22 00:00:00                      1.0  \n",
+       "\n",
+       "[44388 rows x 32 columns]"
+      ]
+     },
+     "execution_count": 150,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_all"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note:\n",
+    "- nan values occur when the pattern has not been identified in any of the cases\n",
+    "- 0 occurs, if there has been no overlap between classes, which can also happen when one NN doesn't detect the pattern at all"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Area fractions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1260x300 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "prop_dict = {\n",
+    "    \"Manual\":{\n",
+    "        'title': \"Manual$_{IR}$\"\n",
+    "    },\n",
+    "    \"ABI\":{\n",
+    "        'title': \"ABI$_{IR}$\"\n",
+    "    }\n",
+    "}\n",
+    "fig, axs = plt.subplots(1,2,figsize=(8.4,2),dpi=150,sharey=True)\n",
+    "for a,classification_approach in enumerate([\"ABI\", \"Manual\"]):\n",
+    "    means = {}\n",
+    "    for p, pattern in enumerate(['Sugar','Gravel','Flowers','Fish']):\n",
+    "        means[pattern]=df_all[pattern+'_area_fraction_'+classification_approach].loc[df_all[pattern+'_area_fraction_'+classification_approach] != 0].mean()\n",
+    "        axs[a].bar(p, means[pattern],color='grey')\n",
+    "    if a == 0:\n",
+    "        axs[a].set_ylabel('area fraction / %')\n",
+    "    axs[a].set_title(prop_dict[classification_approach]['title'])\n",
+    "    sns.despine()\n",
+    "    plt.tight_layout()\n",
+    "    axs[a].set_xticks([0,1,2,3])\n",
+    "    axs[a].set_xticklabels(['Su','Gr','Fl','Fi'])\n",
+    "# plt.savefig('areafraction_comparisons.pdf',bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Daily distribution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 152,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_daily_mean = df_all.resample('1D').mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x2ba7bddbc280>"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1200x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8,3), dpi=150)\n",
+    "for pattern in ['Sugar', 'Gravel', 'Flowers', 'Fish']:\n",
+    "#     df_daily_mean[f'{pattern}_area_fraction_ABI'].plot(label='ABI', color=color_dict[pattern], linestyle='--')\n",
+    "    df_daily_mean[f'{pattern}_area_fraction_Manual'].plot(label='Manual', color=color_dict[pattern], linestyle='-')\n",
+    "plt.legend()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 135,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.cm as cm\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "def plot_clustered_stacked(dfall, labels=None, title=\"multiple stacked bar plot\",  H=\"/\", **kwargs):\n",
+    "    \"\"\"Given a list of dataframes, with identical columns and index, create a clustered stacked bar plot. \n",
+    "labels is a list of the names of the dataframe, used for the legend\n",
+    "title is a string for the title of the plot\n",
+    "H is the hatch used for identification of the different dataframe\"\"\"\n",
+    "\n",
+    "    n_df = len(dfall)\n",
+    "    n_col = len(dfall[0].columns) \n",
+    "    n_ind = len(dfall[0].index)\n",
+    "    axe = plt.subplot(111)\n",
+    "\n",
+    "    for df in dfall : # for each data frame\n",
+    "        axe = df.plot(kind=\"bar\",\n",
+    "                      linewidth=0,\n",
+    "                      stacked=True,\n",
+    "                      ax=axe,\n",
+    "                      legend=False,\n",
+    "                      grid=False,\n",
+    "                      color=color_dict,\n",
+    "                      **kwargs)  # make bar plots\n",
+    "\n",
+    "    h,l = axe.get_legend_handles_labels() # get the handles we want to modify\n",
+    "    for i in range(0, n_df * n_col, n_col): # len(h) = n_col * n_df\n",
+    "        for j, pa in enumerate(h[i:i+n_col]):\n",
+    "            for rect in pa.patches: # for each index\n",
+    "                rect.set_x(rect.get_x() + 1 / float(n_df + 1) * i / float(n_col))\n",
+    "                if H is not None:\n",
+    "                    rect.set_hatch(H * int(i / n_col)) #edited part\n",
+    "                rect.set_edgecolor('white')\n",
+    "                rect.set_width(1 / float(n_df + 1))\n",
+    "\n",
+    "    axe.set_xticks(((np.arange(0, 2 * n_ind, 2) + 1 / float(n_df + 1)) / 2.)[::2])\n",
+    "    axe.set_xticks(((np.arange(0, 2 * n_ind, 2) + 1 / float(n_df + 1)) / 2.), minor=True)\n",
+    "    axe.set_xticklabels(df.index.date[::2], rotation = 90)\n",
+    "    axe.set_title(title)\n",
+    "\n",
+    "    # Add invisible data to add another legend\n",
+    "    n=[]        \n",
+    "    for i in range(n_df):\n",
+    "        if H is None:\n",
+    "            n.append(axe.bar(0, 0, color=\"gray\", edgecolor='white'))\n",
+    "        else:\n",
+    "            n.append(axe.bar(0, 0, color=\"gray\", hatch=H * int(i), edgecolor='white'))\n",
+    "\n",
+    "    l1 = axe.legend(h[:n_col], l[:n_col], loc=[1.01, 0.5])\n",
+    "    if labels is not None:\n",
+    "        l2 = plt.legend(n, labels, loc=[1.01, 0.1]) \n",
+    "    axe.add_artist(l1)\n",
+    "    return axe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 153,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df0 = df_all.filter(items=['Sugar_area_fraction_Manual','Gravel_area_fraction_Manual','Flowers_area_fraction_Manual','Fish_area_fraction_Manual']).rename(\n",
+    "    columns={'Sugar_area_fraction_Manual':'Sugar',\n",
+    "             'Gravel_area_fraction_Manual':'Gravel',\n",
+    "             'Flowers_area_fraction_Manual':'Flowers',\n",
+    "             'Fish_area_fraction_Manual':'Fish'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 154,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df1 = df_daily_mean.filter(items=['Sugar_area_fraction_ABI','Gravel_area_fraction_ABI','Flowers_area_fraction_ABI','Fish_area_fraction_ABI']).rename(\n",
+    "    columns={'Sugar_area_fraction_ABI':'Sugar',\n",
+    "             'Gravel_area_fraction_ABI':'Gravel',\n",
+    "             'Flowers_area_fraction_ABI':'Flowers',\n",
+    "             'Fish_area_fraction_ABI':'Fish'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 155,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df2 = df_daily_mean.filter(items=['Sugar_area_fraction_Manual','Gravel_area_fraction_Manual','Flowers_area_fraction_Manual','Fish_area_fraction_Manual']).rename(\n",
+    "    columns={'Sugar_area_fraction_Manual':'Sugar',\n",
+    "             'Gravel_area_fraction_Manual':'Gravel',\n",
+    "             'Flowers_area_fraction_Manual':'Flowers',\n",
+    "             'Fish_area_fraction_Manual':'Fish'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df3 = df_daily_mean.filter(items=['Sugar_area_fraction_ManualVIS','Gravel_area_fraction_ManualVIS','Flowers_area_fraction_ManualVIS','Fish_area_fraction_ManualVIS']).rename(\n",
+    "    columns={'Sugar_area_fraction_ManualVIS':'Sugar',\n",
+    "             'Gravel_area_fraction_ManualVIS':'Gravel',\n",
+    "             'Flowers_area_fraction_ManualVIS':'Flowers',\n",
+    "             'Fish_area_fraction_ManualVIS':'Fish'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 157,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df4 = df_daily_mean.filter(items=['Sugar_area_fraction_ManualICON','Gravel_area_fraction_ManualICON','Flowers_area_fraction_ManualICON','Fish_area_fraction_ManualICON']).rename(\n",
+    "    columns={'Sugar_area_fraction_ManualICON':'Sugar',\n",
+    "             'Gravel_area_fraction_ManualICON':'Gravel',\n",
+    "             'Flowers_area_fraction_ManualICON':'Flowers',\n",
+    "             'Fish_area_fraction_ManualICON':'Fish'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x216 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "p=plot_clustered_stacked([df1, df2],[\"NN\", \"Manual\"],title=None,figsize=(10,3),H=None)\n",
+    "p.set_ylabel('cumulative area fraction')\n",
+    "sns.despine()\n",
+    "plt.savefig('./figures/cumulative_area_fraction_ABIvsManual_dailyindividual2h.pdf', bbox_inches='tight')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 163,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x216 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "p=plot_clustered_stacked([df3, df2, df1, df4],[\"Manual VIS\", \"Manual IR\", \"NN\", \"Manual ICON\"],title=None,figsize=(12,3),H=None)\n",
+    "p.set_ylabel('cumulative area fraction')\n",
+    "sns.despine()\n",
+    "plt.savefig('./figures/cumulative_area_fraction_ManualVISvsManualIRvsNNvsICON_dailyindividual2h.pdf', bbox_inches='tight')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 164,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x216 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "p=plot_clustered_stacked([df2, df4],[\"Manual IR\", \"Manual ICON\"],title=None,figsize=(12,3),H=None)\n",
+    "p.set_ylabel('cumulative area fraction')\n",
+    "sns.despine()\n",
+    "# plt.savefig('./figures/cumulative_area_fraction_ManualVISvsManualIRvsNNvsICON_dailyindividual2h.pdf', bbox_inches='tight')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Where do IoUs of 0 come from?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Sugar_area_fraction_ABI</th>\n",
+       "      <th>Sugar_area_fraction_Manual</th>\n",
+       "      <th>Sugar_iou_ABI_Manual</th>\n",
+       "      <th>Sugar_missing_ABI_Manual</th>\n",
+       "      <th>Gravel_area_fraction_ABI</th>\n",
+       "      <th>Gravel_area_fraction_Manual</th>\n",
+       "      <th>Gravel_iou_ABI_Manual</th>\n",
+       "      <th>Gravel_missing_ABI_Manual</th>\n",
+       "      <th>Flowers_area_fraction_ABI</th>\n",
+       "      <th>Flowers_area_fraction_Manual</th>\n",
+       "      <th>Flowers_iou_ABI_Manual</th>\n",
+       "      <th>Flowers_missing_ABI_Manual</th>\n",
+       "      <th>Fish_area_fraction_ABI</th>\n",
+       "      <th>Fish_area_fraction_Manual</th>\n",
+       "      <th>Fish_iou_ABI_Manual</th>\n",
+       "      <th>Fish_missing_ABI_Manual</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2020-01-07 02:00:00</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.122568</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.826560</td>\n",
+       "      <td>0.337125</td>\n",
+       "      <td>0.399939</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-07 04:00:00</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.044850</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.900000</td>\n",
+       "      <td>0.712167</td>\n",
+       "      <td>0.791297</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.481328</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-07 06:00:00</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.784131</td>\n",
+       "      <td>0.116885</td>\n",
+       "      <td>0.149063</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-07 08:00:00</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.800765</td>\n",
+       "      <td>0.461606</td>\n",
+       "      <td>0.576456</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.804579</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-07 10:00:00</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.817747</td>\n",
+       "      <td>0.065664</td>\n",
+       "      <td>0.080299</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.783265</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-02-21 16:00:00</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.255902</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.472397</td>\n",
+       "      <td>0.669024</td>\n",
+       "      <td>0.683917</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.281888</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-02-21 18:00:00</th>\n",
+       "      <td>0.473880</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.460902</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.152716</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-02-21 20:00:00</th>\n",
+       "      <td>0.445314</td>\n",
+       "      <td>0.273215</td>\n",
+       "      <td>0.173091</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.388713</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.299123</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-02-21 22:00:00</th>\n",
+       "      <td>0.558688</td>\n",
+       "      <td>0.497605</td>\n",
+       "      <td>0.510602</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.287390</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.658064</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-02-22 00:00:00</th>\n",
+       "      <td>0.548682</td>\n",
+       "      <td>0.299228</td>\n",
+       "      <td>0.383417</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.338272</td>\n",
+       "      <td>0.095012</td>\n",
+       "      <td>0.280875</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.342138</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>548 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     Sugar_area_fraction_ABI  Sugar_area_fraction_Manual  \\\n",
+       "2020-01-07 02:00:00                 0.000000                    0.122568   \n",
+       "2020-01-07 04:00:00                 0.000000                    0.044850   \n",
+       "2020-01-07 06:00:00                 0.000000                    0.000000   \n",
+       "2020-01-07 08:00:00                 0.000000                    0.000000   \n",
+       "2020-01-07 10:00:00                 0.000000                    0.000000   \n",
+       "...                                      ...                         ...   \n",
+       "2020-02-21 16:00:00                 0.000000                    0.255902   \n",
+       "2020-02-21 18:00:00                 0.473880                    0.000000   \n",
+       "2020-02-21 20:00:00                 0.445314                    0.273215   \n",
+       "2020-02-21 22:00:00                 0.558688                    0.497605   \n",
+       "2020-02-22 00:00:00                 0.548682                    0.299228   \n",
+       "\n",
+       "                     Sugar_iou_ABI_Manual  Sugar_missing_ABI_Manual  \\\n",
+       "2020-01-07 02:00:00              0.000000                       1.0   \n",
+       "2020-01-07 04:00:00              0.000000                       1.0   \n",
+       "2020-01-07 06:00:00                   NaN                       3.0   \n",
+       "2020-01-07 08:00:00                   NaN                       3.0   \n",
+       "2020-01-07 10:00:00                   NaN                       3.0   \n",
+       "...                                   ...                       ...   \n",
+       "2020-02-21 16:00:00              0.000000                       1.0   \n",
+       "2020-02-21 18:00:00              0.000000                       2.0   \n",
+       "2020-02-21 20:00:00              0.173091                       0.0   \n",
+       "2020-02-21 22:00:00              0.510602                       0.0   \n",
+       "2020-02-22 00:00:00              0.383417                       0.0   \n",
+       "\n",
+       "                     Gravel_area_fraction_ABI  Gravel_area_fraction_Manual  \\\n",
+       "2020-01-07 02:00:00                  0.826560                     0.337125   \n",
+       "2020-01-07 04:00:00                  0.900000                     0.712167   \n",
+       "2020-01-07 06:00:00                  0.784131                     0.116885   \n",
+       "2020-01-07 08:00:00                  0.800765                     0.461606   \n",
+       "2020-01-07 10:00:00                  0.817747                     0.065664   \n",
+       "...                                       ...                          ...   \n",
+       "2020-02-21 16:00:00                  0.472397                     0.669024   \n",
+       "2020-02-21 18:00:00                  0.460902                     0.000000   \n",
+       "2020-02-21 20:00:00                  0.000000                     0.388713   \n",
+       "2020-02-21 22:00:00                  0.000000                     0.287390   \n",
+       "2020-02-22 00:00:00                  0.338272                     0.095012   \n",
+       "\n",
+       "                     Gravel_iou_ABI_Manual  Gravel_missing_ABI_Manual  \\\n",
+       "2020-01-07 02:00:00               0.399939                        0.0   \n",
+       "2020-01-07 04:00:00               0.791297                        0.0   \n",
+       "2020-01-07 06:00:00               0.149063                        0.0   \n",
+       "2020-01-07 08:00:00               0.576456                        0.0   \n",
+       "2020-01-07 10:00:00               0.080299                        0.0   \n",
+       "...                                    ...                        ...   \n",
+       "2020-02-21 16:00:00               0.683917                        0.0   \n",
+       "2020-02-21 18:00:00               0.000000                        2.0   \n",
+       "2020-02-21 20:00:00               0.000000                        1.0   \n",
+       "2020-02-21 22:00:00               0.000000                        1.0   \n",
+       "2020-02-22 00:00:00               0.280875                        0.0   \n",
+       "\n",
+       "                     Flowers_area_fraction_ABI  Flowers_area_fraction_Manual  \\\n",
+       "2020-01-07 02:00:00                        0.0                      0.000000   \n",
+       "2020-01-07 04:00:00                        0.0                      0.000000   \n",
+       "2020-01-07 06:00:00                        0.0                      0.000000   \n",
+       "2020-01-07 08:00:00                        0.0                      0.804579   \n",
+       "2020-01-07 10:00:00                        0.0                      0.783265   \n",
+       "...                                        ...                           ...   \n",
+       "2020-02-21 16:00:00                        0.0                      0.000000   \n",
+       "2020-02-21 18:00:00                        0.0                      0.000000   \n",
+       "2020-02-21 20:00:00                        0.0                      0.000000   \n",
+       "2020-02-21 22:00:00                        0.0                      0.000000   \n",
+       "2020-02-22 00:00:00                        0.0                      0.000000   \n",
+       "\n",
+       "                     Flowers_iou_ABI_Manual  Flowers_missing_ABI_Manual  \\\n",
+       "2020-01-07 02:00:00                     NaN                         3.0   \n",
+       "2020-01-07 04:00:00                     NaN                         3.0   \n",
+       "2020-01-07 06:00:00                     NaN                         3.0   \n",
+       "2020-01-07 08:00:00                     0.0                         1.0   \n",
+       "2020-01-07 10:00:00                     0.0                         1.0   \n",
+       "...                                     ...                         ...   \n",
+       "2020-02-21 16:00:00                     NaN                         3.0   \n",
+       "2020-02-21 18:00:00                     NaN                         3.0   \n",
+       "2020-02-21 20:00:00                     NaN                         3.0   \n",
+       "2020-02-21 22:00:00                     NaN                         3.0   \n",
+       "2020-02-22 00:00:00                     NaN                         3.0   \n",
+       "\n",
+       "                     Fish_area_fraction_ABI  Fish_area_fraction_Manual  \\\n",
+       "2020-01-07 02:00:00                0.000000                   0.000000   \n",
+       "2020-01-07 04:00:00                0.000000                   0.481328   \n",
+       "2020-01-07 06:00:00                0.000000                   0.000000   \n",
+       "2020-01-07 08:00:00                0.000000                   0.000000   \n",
+       "2020-01-07 10:00:00                0.000000                   0.000000   \n",
+       "...                                     ...                        ...   \n",
+       "2020-02-21 16:00:00                0.281888                   0.000000   \n",
+       "2020-02-21 18:00:00                0.152716                   0.000000   \n",
+       "2020-02-21 20:00:00                0.000000                   0.299123   \n",
+       "2020-02-21 22:00:00                0.000000                   0.658064   \n",
+       "2020-02-22 00:00:00                0.000000                   0.342138   \n",
+       "\n",
+       "                     Fish_iou_ABI_Manual  Fish_missing_ABI_Manual  \n",
+       "2020-01-07 02:00:00                  NaN                      3.0  \n",
+       "2020-01-07 04:00:00                  0.0                      1.0  \n",
+       "2020-01-07 06:00:00                  NaN                      3.0  \n",
+       "2020-01-07 08:00:00                  NaN                      3.0  \n",
+       "2020-01-07 10:00:00                  NaN                      3.0  \n",
+       "...                                  ...                      ...  \n",
+       "2020-02-21 16:00:00                  0.0                      2.0  \n",
+       "2020-02-21 18:00:00                  0.0                      2.0  \n",
+       "2020-02-21 20:00:00                  0.0                      1.0  \n",
+       "2020-02-21 22:00:00                  0.0                      1.0  \n",
+       "2020-02-22 00:00:00                  0.0                      1.0  \n",
+       "\n",
+       "[548 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_all"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1260x300 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "prop_dict = {\n",
+    "    \"ABI_Manual\":{\n",
+    "        'colors': ['grey','red' , 'orange', 'green'],\n",
+    "        'title': 'ABI$_{IR}$ vs. Manual$_{IR}$'},\n",
+    "    \"MVIS_AIR\":{\n",
+    "        'colors': ['grey', 'blue','orange', 'green'],\n",
+    "        'title': 'MODIS$_{VIS}$ vs. ABI$_{IR}$'},\n",
+    "    \"MIR_AIR\":{\n",
+    "        'colors':['grey', 'red' ,'orange', 'green'],\n",
+    "        'title': 'MODIS$_{IR}$ vs. ABI$_{IR}$'}\n",
+    "    \n",
+    "}\n",
+    "\n",
+    "relative = True\n",
+    "fig,axs = plt.subplots(1,2,figsize=(8.4,2),dpi=150,sharey=True)\n",
+    "for cc, classification_comparison in enumerate([\"ABI_Manual\"]):\n",
+    "    colors = prop_dict[classification_comparison]['colors']\n",
+    "    means = {}\n",
+    "    for p, pattern in enumerate(['Sugar','Gravel','Flowers','Fish']):\n",
+    "        total = np.count_nonzero(np.where(df_all[pattern+'_missing_'+classification_comparison].dropna() != 3,True,False))\n",
+    "        if total == 0:\n",
+    "            continue\n",
+    "        counts = np.zeros(4)\n",
+    "        iou_without_zeros = df_all[pattern+'_iou_'+classification_comparison].loc[df_all[pattern+'_missing_'+classification_comparison] ==0].mean()\n",
+    "        iou_with_zeros = df_all[pattern+'_iou_'+classification_comparison].mean()\n",
+    "        for i_,i in enumerate([0,1,2,3]): #0: missing in none; 3: missing in both; 2:missing in the second (AIR)\n",
+    "            c=np.count_nonzero(np.where(df_all[pattern+'_missing_'+classification_comparison].dropna() == i,True,False))\n",
+    "            if relative:\n",
+    "                c = c/total*100\n",
+    "            counts[i_] = c\n",
+    "            if i == 3:\n",
+    "                continue\n",
+    "            if i_ == 0:\n",
+    "                axs[cc].bar(p, c, color=colors[i], label='no classifications')\n",
+    "            else:\n",
+    "                axs[cc].bar(p, c, bottom=np.sum(counts[0:i_]), color=colors[i])\n",
+    "            axs[cc].text(p,24, \"{:3.2f}\".format(iou_with_zeros),ha='center',color='white')\n",
+    "            axs[cc].text(p,15, \"({:3.2f})\".format(iou_without_zeros),ha='center',color='white',fontsize=8)\n",
+    "            axs[cc].set_title(prop_dict[classification_comparison]['title'])\n",
+    "    axs[cc].set_xticks([0,1,2,3])\n",
+    "    axs[cc].set_xticklabels(['Sugar','Gravel','Flowers','Fish'])\n",
+    "    if cc == 0:\n",
+    "        axs[cc].set_ylabel('rel. frequency / %')\n",
+    "    sns.despine()\n",
+    "    plt.tight_layout()\n",
+    "# plt.savefig(f'IOU_comparisons_mean_DOM0{DOM}.pdf',bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Comparison with Iorg"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import datetime as dt\n",
+    "import numpy as np\n",
+    "from matplotlib.patches import Circle, Wedge, Polygon\n",
+    "from matplotlib.collections import PatchCollection\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fn_iorg = '/work/mh0010/m300408/EUREC4A_CloudClassification/metrics/GOES16_IR_nc_Iorg_EUREC4A_10-20_-58--48.nc'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_iorg = xr.open_dataset(fn_iorg)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "contaminated_dates = np.unique(ds_iorg.where(ds_iorg.percentile_Tb < 285, drop=True).time.dt.date)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_iorg_sel = ds_iorg.sel(time=~np.in1d(ds_iorg.time.dt.date,contaminated_dates), drop=True)\n",
+    "ds_iorg_sel = ds_iorg_sel.sel(time=np.in1d(ds_iorg_sel.time.dt.date,np.unique(df_all.index.date)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_iorg_mean = ds_iorg_sel.groupby(ds_iorg_sel.time.dt.date).mean()\n",
+    "# ds_iorg_mean = ds_iorg.groupby(ds_iorg.time.dt.date).mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x2b42261eb490>]"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(ds_iorg_mean.cluster_size_mean, ds_iorg_mean.Iorg,'.')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 600x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(4,4),dpi=150)\n",
+    "\n",
+    "patches = []\n",
+    "\n",
+    "\n",
+    "\n",
+    "ax.plot(ds_iorg_mean.cluster_size_mean*500, ds_iorg_mean.Iorg,'.', markersize=0.1)\n",
+    "ax.set_aspect(1)\n",
+    "\n",
+    "for t, (y,x) in enumerate(zip(ds_iorg_mean.cluster_size_mean.values*500, ds_iorg_mean.Iorg.values)):\n",
+    "#     if t>15:continue\n",
+    "    date = ds_iorg_mean.isel(date=t).date.values\n",
+    "    date = dt.datetime.combine(date.item(), dt.datetime.min.time())\n",
+    "    try:\n",
+    "        data = df2.loc[date]\n",
+    "    except KeyError:\n",
+    "        continue\n",
+    "# Some limiting conditions on Wedge\n",
+    "    for p_,pattern in enumerate(['Sugar','Gravel', 'Flowers','Fish']):\n",
+    "        w = Wedge((y, x), data[pattern]/80, p_*90, (p_+1)*90, fc=color_dict[pattern])\n",
+    "\n",
+    "        ax.add_patch(w)\n",
+    "\n",
+    "w = Wedge((.3, .45), 1/80, 0, 90, fc='white',ec='k', transform=ax.transData)\n",
+    "ax.add_patch(w)\n",
+    "w = Wedge((.3, .50), 0.5/80, 0, 90, fc='white',ec='k', transform=ax.transData)\n",
+    "ax.add_patch(w)\n",
+    "\n",
+    "# p = PatchCollection(patches, alpha=1)\n",
+    "# ax.add_collection(p)\n",
+    "plt.xlabel('mean cluster size')\n",
+    "plt.ylabel('I$_{org}$')\n",
+    "sns.despine(offset=5)\n",
+    "plt.savefig('./figures/Iorg_vs_S_hueManualClassifications.pdf', bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 600x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(4,4),dpi=150)\n",
+    "\n",
+    "patches = []\n",
+    "\n",
+    "\n",
+    "\n",
+    "ax.plot(ds_iorg_mean.cluster_size_mean*500, ds_iorg_mean.Iorg,'.', markersize=0.1)\n",
+    "ax.set_aspect(1)\n",
+    "\n",
+    "for t, (y,x) in enumerate(zip(ds_iorg_mean.cluster_size_mean.values*500, ds_iorg_mean.Iorg.values)):\n",
+    "#     if t>15:continue\n",
+    "    date = ds_iorg_mean.isel(date=t).date.values\n",
+    "    date = dt.datetime.combine(date.item(), dt.datetime.min.time())\n",
+    "    try:\n",
+    "        data = df1.loc[date]\n",
+    "    except KeyError:\n",
+    "        continue\n",
+    "# Some limiting conditions on Wedge\n",
+    "    for p_,pattern in enumerate(['Sugar','Gravel', 'Flowers','Fish']):\n",
+    "        w = Wedge((y, x), data[pattern]/80, p_*90, (p_+1)*90, fc=color_dict[pattern])\n",
+    "\n",
+    "        ax.add_patch(w)\n",
+    "\n",
+    "\n",
+    "plt.xlabel('mean cluster size')\n",
+    "plt.ylabel('I$_{org}$')\n",
+    "sns.despine(offset=5)\n",
+    "plt.savefig('./figures/Iorg_vs_S_hueNN.pdf', bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "mesoscale",
+   "language": "python",
+   "name": "mesoscale"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

From e226e9df702da46d999388d455d4f5b374586ee4 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Thu, 18 Nov 2021 00:28:07 +0100
Subject: [PATCH 09/34] \ Massive clean-up of agreement notebook

---
 notebooks/Agreement_manual_NN.ipynb | 2640 +++++----------------------
 notebooks/helpers.py                |  159 ++
 2 files changed, 593 insertions(+), 2206 deletions(-)
 create mode 100644 notebooks/helpers.py

diff --git a/notebooks/Agreement_manual_NN.ipynb b/notebooks/Agreement_manual_NN.ipynb
index f72dbba..ffec3dd 100644
--- a/notebooks/Agreement_manual_NN.ipynb
+++ b/notebooks/Agreement_manual_NN.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Agreement between IR manual classifications and neural network"
+    "# Agreement between manual classifications and deep neural network"
    ]
   },
   {
@@ -43,55 +43,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# classification_path = '/work/mh0010/m300408/CharacterizationOfMesoscalePatterns/Data/Level_0/classifications/MODIS_NorthAtlantic/'\n",
-    "# classification_path_L1 = \"/work/mh0010/m300408/CharacterizationOfMesoscalePatterns/Data/Level_1/classifications/\"\n",
-    "# fn_MODIS_IR = \"Classifications__NN__MODIS__IR__Region1.nc\"\n",
-    "# fn_MODIS_VIS = \"Classifications__NN__MODIS__VIS__Region1.nc\"\n",
-    "# fn_ABI_IR = \"CloudPattern__IRRetinanet__GOES16__10-24N_-61--40E__2018JFMND_2019JFMND-2020JFM.nc\"\n",
-    "\n",
-    "\n",
-    "fn_ABI_IR = '/mnt/lustre02/work/mh0010/m300408/CharacterizationOfMesoscalePatterns/Data/Level_1/GOES16_CH13_classifications_2018-2020_NDJFM_30min.zarr/' #\" ABIonICONdomain_DOM01.zarr'\n",
-    "fn_manual_classifications = '/work/mh0010/m300408/EUREC4A_CloudClassification/manual/processed_data/EUREC4A_ManualClassifications_l3_IR.zarr'\n",
-    "fn_manual_classifications = '/work/mh0010/m300408/EUREC4A_CloudClassification/manual/processed_data/EUREC4A_ManualClassifications_l3_VIS.zarr'\n",
-    "fn_manual_classifications = '/work/mh0010/m300408/EUREC4A_CloudClassification/manual/processed_data/EUREC4A_ManualClassifications_l3_albedo.zarr'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
     "domain = [10, 24, -61, -40]  # domain of original data [lat1, lat2, lon1, lon2]\n",
+    "lat0, lat1, lon0, lon1 = [10, 20, -58, -48]\n",
     "label_map= {'Sugar':0, 'Fish': 3, 'Flowers': 2, 'Flower': 2, 'Gravel': 1}\n",
-    "label_map_rv = {0:'Sugar', 1:'Gravel', 2: 'Flowers', 3: 'Fish'}"
+    "label_map_rv = {0:'Sugar', 1:'Gravel', 2: 'Flowers', 3: 'Fish'}\n",
+    "color_dict = {'Sugar':'#A1D791','Fish':'#2281BB','Gravel':'#3EAE47', 'Flowers': '#93D2E2'}\n",
+    "frequency_threshold = 0.1"
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 4,
    "metadata": {},
+   "outputs": [],
    "source": [
-    "## Agreement between GOES_IR, MODIS_IR, MODIS_VIS"
+    "fn_ABI_IR = '/mnt/lustre02/work/mh0010/m300408/CharacterizationOfMesoscalePatterns/Data/Level_1/GOES16_CH13_classifications_2018-2020_NDJFM_30min.zarr/' #\" ABIonICONdomain_DOM01.zarr'\n",
+    "files_manualClassifications_l3 = {\n",
+    "   \"manualVIS\": '/work/mh0010/m300408/EUREC4A_CloudClassification/manual/processed_data/EUREC4A_ManualClassifications_l3_VIS.zarr',\n",
+    "   \"manualIR\": '/work/mh0010/m300408/EUREC4A_CloudClassification/manual/processed_data/EUREC4A_ManualClassifications_l3_IR.zarr',\n",
+    "   \"manualICON\": '/work/mh0010/m300408/EUREC4A_CloudClassification/manual/processed_data/EUREC4A_ManualClassifications_l3_albedo.zarr' \n",
+    "}\n",
+    "fn_iorg = '/work/mh0010/m300408/EUREC4A_CloudClassification/metrics/GOES16_IR_nc_Iorg_EUREC4A_10-20_-58--48.nc'"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The autoreload extension is already loaded. To reload it, use:\n",
-      "  %reload_ext autoreload\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "%load_ext autoreload\n",
     "%autoreload 2\n",
@@ -101,6 +84,8 @@
     "import xarray as xr\n",
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
+    "from matplotlib.patches import Circle, Wedge, Polygon\n",
+    "from matplotlib.collections import PatchCollection\n",
     "import datetime as dt\n",
     "import pandas as pd\n",
     "\n",
@@ -112,1410 +97,166 @@
     "from pyclouds.plot import *\n",
     "\n",
     "del tqdm\n",
-    "import tqdm"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Computation of masks"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 86,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def iou_one_class_from_annos(arr1, arr2, return_iou=False):\n",
-    "    \"\"\"\n",
-    "    Returns the IoU from lists of [x, y, w, h] annotations.\n",
-    "    Image size must be given because arrays are created internally.\n",
-    "    If return_iou is True, the actual IoU score is computed,\n",
-    "    otherwise i, u will be returned.\n",
-    "    \n",
-    "    >>> iou_one_class_from_annos([False,True],[False,False],return_iou=True)\n",
-    "    0.0\n",
-    "    >>> iou_one_class_from_annos([False,True],[True,False],return_iou=True)\n",
-    "    0.0\n",
-    "    >>> iou_one_class_from_annos([False,True],[True,True],return_iou=True)\n",
-    "    0.5\n",
-    "    >>> iou_one_class_from_annos([False,False],[False,False],return_iou=True)\n",
-    "    np.nan\n",
-    "    \n",
-    "    \"\"\"\n",
-    "    i = intersect_from_arrs(arr1, arr2)\n",
-    "    u = union_from_arrs(arr1, arr2)\n",
-    "    if return_iou:\n",
-    "        if u > 0:\n",
-    "            return i/u\n",
-    "        # only exists in one of the inputs\n",
-    "        elif u == 0 and np.any([arr1, arr2]):\n",
-    "            return 0\n",
-    "        # no identifications in any input\n",
-    "        else:\n",
-    "            return np.nan\n",
-    "    else:\n",
-    "        return i, u\n",
-    "\n",
-    "def intersect_from_arrs(arr1, arr2):\n",
-    "    \"\"\"Applies bitwise_and followed by a sum. Note that the sum operation is expensive.\"\"\"\n",
-    "    return np.count_nonzero(np.bitwise_and(arr1, arr2))\n",
-    "\n",
-    "\n",
-    "def union_from_arrs(arr1, arr2):\n",
-    "    \"\"\"Applies bitwise_or followed by a sum. Note that the sum operation is expensive.\"\"\"\n",
-    "    return np.count_nonzero(np.bitwise_or(arr1, arr2))\n",
-    "\n",
-    "def get_date_from_filename(fn):\n",
-    "    fn_parts = fn.split('/')\n",
-    "    try:\n",
-    "        date = dt.datetime.strptime(fn_parts[-1].split('_')[4], 'Day%Y%m%d')\n",
-    "    except ValueError:\n",
-    "        date = dt.datetime.strptime(fn_parts[-1].split('_')[-3], 'TrueColor%Y%m%d')\n",
-    "    return date\n",
-    "\n",
-    "def create_mask(boxes, labels, out, label_map={'Sugar':0, 'Fish': 3, 'Flower': 2, 'Gravel': 1}):\n",
-    "    \"\"\"\n",
-    "    Create or add mask to array\n",
-    "    \"\"\"\n",
-    "    xy_boxes = [wh2xy(*b) for b in boxes]\n",
-    "    \n",
-    "    for l, lab in enumerate(labels):\n",
-    "        mask_layer = label_map[lab]\n",
-    "        x1,y1,x2,y2 = np.array(xy_boxes[l]).astype(int)\n",
-    "        out[x1:x2,y1:y2,mask_layer] = True\n",
-    "    \n",
-    "    return out"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Calculate IoUs"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 87,
-   "metadata": {},
-   "outputs": [],
-   "source": [
     "import tqdm\n",
-    "import datetime as dt\n",
-    "import numpy as np\n",
-    "import dask\n",
-    "import pandas as pd\n",
-    "import zarr\n",
-    "import xarray as xr\n",
-    "import os"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 88,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "mask_ABI_IR = xr.open_zarr(fn_ABI_IR)\n",
-    "if '.zarr' in fn_manual_classifications:\n",
-    "    mask_manual_classifications = xr.open_zarr(fn_manual_classifications)\n",
-    "elif '.nc' in fn_manual_classifications:\n",
-    "    mask_manual_classifications = xr.open_dataset(fn_manual_classifications)\n",
-    "else:\n",
-    "    print('File format not supported')\n",
-    "# mask_ICON_IR_DOM02 = xr.open_zarr(fn_ICON_IR_DOM02)\n",
-    "# mask_ABI_IR_DOM02 = xr.open_zarr(fn_ABI_IR_DOM02)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 89,
-   "metadata": {},
-   "outputs": [
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;date&#x27; (date: 564)&gt;\n",
-       "array([&#x27;2020-01-07T00:00:00.000000000&#x27;, &#x27;2020-01-07T02:00:00.000000000&#x27;,\n",
-       "       &#x27;2020-01-07T04:00:00.000000000&#x27;, ..., &#x27;2020-02-22T18:00:00.000000000&#x27;,\n",
-       "       &#x27;2020-02-22T20:00:00.000000000&#x27;, &#x27;2020-02-22T22:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)\n",
-       "Coordinates:\n",
-       "  * date     (date) datetime64[ns] 2020-01-07 ... 2020-02-22T22:00:00\n",
-       "Attributes:\n",
-       "    standard_name:  time</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'date'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>date</span>: 564</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d6fdff43-34d9-4167-9932-3ffe3bd8e7d5' class='xr-array-in' type='checkbox' checked><label for='section-d6fdff43-34d9-4167-9932-3ffe3bd8e7d5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2020-01-07 2020-01-07T02:00:00 ... 2020-02-22T22:00:00</span></div><div class='xr-array-data'><pre>array([&#x27;2020-01-07T00:00:00.000000000&#x27;, &#x27;2020-01-07T02:00:00.000000000&#x27;,\n",
-       "       &#x27;2020-01-07T04:00:00.000000000&#x27;, ..., &#x27;2020-02-22T18:00:00.000000000&#x27;,\n",
-       "       &#x27;2020-02-22T20:00:00.000000000&#x27;, &#x27;2020-02-22T22:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-2e77b882-d7c1-4f8d-83a5-87bf3d5d781d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2e77b882-d7c1-4f8d-83a5-87bf3d5d781d' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>date</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-07 ... 2020-02-22T22:00:00</div><input id='attrs-2182ae82-41a5-492e-a801-cdc9852f998b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2182ae82-41a5-492e-a801-cdc9852f998b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32e6f1fc-f332-45a9-9140-9b22b2a5e6c8' class='xr-var-data-in' type='checkbox'><label for='data-32e6f1fc-f332-45a9-9140-9b22b2a5e6c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-01-07T00:00:00.000000000&#x27;, &#x27;2020-01-07T02:00:00.000000000&#x27;,\n",
-       "       &#x27;2020-01-07T04:00:00.000000000&#x27;, ..., &#x27;2020-02-22T18:00:00.000000000&#x27;,\n",
-       "       &#x27;2020-02-22T20:00:00.000000000&#x27;, &#x27;2020-02-22T22:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f459defc-18e9-4d61-8fc4-ef719ed2ce61' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f459defc-18e9-4d61-8fc4-ef719ed2ce61' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd></dl></div></li></ul></div></div>"
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:    (latitude: 1400, longitude: 2100, pattern: 4, time: 17144)\n",
-       "Coordinates:\n",
-       "  * latitude   (latitude) float64 24.0 23.99 23.98 23.97 ... 10.02 10.01 10.0\n",
-       "  * longitude  (longitude) float64 -61.0 -60.99 -60.98 ... -40.02 -40.01 -40.0\n",
-       "  * pattern    (pattern) object &#x27;Sugar&#x27; &#x27;Gravel&#x27; &#x27;Flowers&#x27; &#x27;Fish&#x27;\n",
-       "  * time       (time) datetime64[ns] 2018-01-01T00:00:38.700000 ... 2020-03-3...\n",
-       "Data variables:\n",
-       "    mask       (time, longitude, latitude, pattern) object dask.array&lt;chunksize=(1, 2100, 1400, 4), meta=np.ndarray&gt;\n",
-       "Attributes:\n",
-       "    author:          Hauke Schulz (hauke.schulz@mpimet.mpg.de)\n",
-       "    created_on:      2020-10-12 16:33 UTC\n",
-       "    description:     NN detections of meso-scale cloud patterns\n",
-       "    institute:       Max Planck Institut für Meteorologie, Germany\n",
-       "    python_version:  3.6.8 |Anaconda, Inc.| (default, Dec 30 2018, 01:22:34) ...\n",
-       "    title:           IR neural network meso-scale cloud pattern classifications</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-90fdb4ba-a45c-4259-8ac2-628e5d6cbc48' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-90fdb4ba-a45c-4259-8ac2-628e5d6cbc48' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 1400</li><li><span class='xr-has-index'>longitude</span>: 2100</li><li><span class='xr-has-index'>pattern</span>: 4</li><li><span class='xr-has-index'>time</span>: 17144</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e99ba54b-bfa0-41e9-9bbe-05fc42649341' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e99ba54b-bfa0-41e9-9bbe-05fc42649341' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>24.0 23.99 23.98 ... 10.01 10.0</div><input id='attrs-4ede204e-ef43-4b4a-b1f3-a04bad8c56d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ede204e-ef43-4b4a-b1f3-a04bad8c56d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c595150-5430-47fd-b6c3-d806f57b494b' class='xr-var-data-in' type='checkbox'><label for='data-8c595150-5430-47fd-b6c3-d806f57b494b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><div class='xr-var-data'><pre>array([24.      , 23.989993, 23.979986, ..., 10.020014, 10.010007, 10.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-61.0 -60.99 ... -40.01 -40.0</div><input id='attrs-d1e2e6f1-e570-4a75-a70b-b66d5b2dc526' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1e2e6f1-e570-4a75-a70b-b66d5b2dc526' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd222ab2-6203-4e31-935a-9c52dd1da0b4' class='xr-var-data-in' type='checkbox'><label for='data-fd222ab2-6203-4e31-935a-9c52dd1da0b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><div class='xr-var-data'><pre>array([-61.      , -60.989995, -60.97999 , ..., -40.02001 , -40.010005,\n",
-       "       -40.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>pattern</span></div><div class='xr-var-dims'>(pattern)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Sugar&#x27; &#x27;Gravel&#x27; &#x27;Flowers&#x27; &#x27;Fish&#x27;</div><input id='attrs-862ebeb5-fe1d-4480-ab80-c71b841d341b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-862ebeb5-fe1d-4480-ab80-c71b841d341b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3878a802-f24f-4fdc-9879-a4742c0ea8c5' class='xr-var-data-in' type='checkbox'><label for='data-3878a802-f24f-4fdc-9879-a4742c0ea8c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Sugar&#x27;, &#x27;Gravel&#x27;, &#x27;Flowers&#x27;, &#x27;Fish&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2018-01-01T00:00:38.700000 ... 2...</div><input id='attrs-ad205690-ac33-4c54-89c8-b3112a963879' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad205690-ac33-4c54-89c8-b3112a963879' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-220d6cb6-8d4e-48e5-90ce-596c900d83e4' class='xr-var-data-in' type='checkbox'><label for='data-220d6cb6-8d4e-48e5-90ce-596c900d83e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>classification id (basically each sighting of an image has a unique id)</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2018-01-01T00:00:38.700000000&#x27;, &#x27;2018-01-01T00:30:38.700000000&#x27;,\n",
-       "       &#x27;2018-01-01T01:00:38.700000000&#x27;, ..., &#x27;2020-03-31T22:30:21.100000000&#x27;,\n",
-       "       &#x27;2020-03-31T23:00:21.100000000&#x27;, &#x27;2020-03-31T23:30:21.100000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-23dd21f1-d24e-4005-b005-bfef268498db' class='xr-section-summary-in' type='checkbox'  checked><label for='section-23dd21f1-d24e-4005-b005-bfef268498db' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>mask</span></div><div class='xr-var-dims'>(time, longitude, latitude, pattern)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2100, 1400, 4), meta=np.ndarray&gt;</div><input id='attrs-ac8568aa-f74e-45d9-b363-8f922972a7b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac8568aa-f74e-45d9-b363-8f922972a7b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bb8b2ac-deee-450f-8f1d-63fcf2eb2c97' class='xr-var-data-in' type='checkbox'><label for='data-8bb8b2ac-deee-450f-8f1d-63fcf2eb2c97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>classification mask for every single pattern and classification_id</dd></dl></div><div class='xr-var-data'><table>\n",
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-       "[GCC 7.3.0]</dd><dt><span>title :</span></dt><dd>IR neural network meso-scale cloud pattern classifications</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset>\n",
-       "Dimensions:    (latitude: 1400, longitude: 2100, pattern: 4, time: 17144)\n",
-       "Coordinates:\n",
-       "  * latitude   (latitude) float64 24.0 23.99 23.98 23.97 ... 10.02 10.01 10.0\n",
-       "  * longitude  (longitude) float64 -61.0 -60.99 -60.98 ... -40.02 -40.01 -40.0\n",
-       "  * pattern    (pattern) object 'Sugar' 'Gravel' 'Flowers' 'Fish'\n",
-       "  * time       (time) datetime64[ns] 2018-01-01T00:00:38.700000 ... 2020-03-3...\n",
-       "Data variables:\n",
-       "    mask       (time, longitude, latitude, pattern) object dask.array<chunksize=(1, 2100, 1400, 4), meta=np.ndarray>\n",
-       "Attributes:\n",
-       "    author:          Hauke Schulz (hauke.schulz@mpimet.mpg.de)\n",
-       "    created_on:      2020-10-12 16:33 UTC\n",
-       "    description:     NN detections of meso-scale cloud patterns\n",
-       "    institute:       Max Planck Institut für Meteorologie, Germany\n",
-       "    python_version:  3.6.8 |Anaconda, Inc.| (default, Dec 30 2018, 01:22:34) ...\n",
-       "    title:           IR neural network meso-scale cloud pattern classifications"
-      ]
-     },
-     "execution_count": 90,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mask_ABI_IR"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 91,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def interSection(arr1,arr2): # finding common elements\n",
-    "    print('yey')\n",
-    "    values = list(filter(lambda x: x in arr1, arr2))\n",
-    "    print('whuhu')\n",
-    "    return values\n",
     "\n",
-    "def merge_mask(mask):\n",
-    "    \"\"\"Merge mask along time dimension (has to be first dimension)\n",
-    "    \"\"\"\n",
-    "    return np.any(~np.isnan(mask.astype(\"float\")), axis=0)\n",
-    "\n",
-    "def iou_one_class_from_annos(arr1, arr2, return_iou=False):\n",
-    "    \"\"\"\n",
-    "    Returns the IoU from lists of [x, y, w, h] annotations.\n",
-    "    Image size must be given because arrays are created internally.\n",
-    "    If return_iou is True, the actual IoU score is computed,\n",
-    "    otherwise i, u will be returned.\n",
-    "    \n",
-    "    >>> iou_one_class_from_annos([False,True],[False,False],return_iou=True)\n",
-    "    0.0\n",
-    "    >>> iou_one_class_from_annos([False,True],[True,False],return_iou=True)\n",
-    "    0.0\n",
-    "    >>> iou_one_class_from_annos([False,True],[True,True],return_iou=True)\n",
-    "    0.5\n",
-    "    >>> iou_one_class_from_annos([False,False],[False,False],return_iou=True)\n",
-    "    np.nan\n",
-    "    \n",
-    "    \"\"\"\n",
-    "    i = intersect_from_arrs(arr1, arr2)\n",
-    "    u = union_from_arrs(arr1, arr2)\n",
-    "    if return_iou:\n",
-    "        if u > 0:\n",
-    "            return i/u\n",
-    "        # only exists in one of the inputs\n",
-    "        elif u == 0 and np.any([arr1, arr2]):\n",
-    "            return 0\n",
-    "        # no identifications in any input\n",
-    "        else:\n",
-    "            return np.nan\n",
-    "    else:\n",
-    "        return i, u\n",
-    "\n",
-    "def intersect_from_arrs(arr1, arr2):\n",
-    "    \"\"\"Applies bitwise_and followed by a sum. Note that the sum operation is expensive.\"\"\"\n",
-    "    return np.sum(np.bitwise_and(arr1, arr2))\n",
-    "\n",
-    "\n",
-    "def union_from_arrs(arr1, arr2):\n",
-    "    \"\"\"Applies bitwise_or followed by a sum. Note that the sum operation is expensive.\"\"\"\n",
-    "    return np.sum(np.bitwise_or(arr1, arr2))\n",
-    "\n",
-    "\n",
-    "def identify_where_class_missing(arr1,arr2):\n",
-    "    \"\"\"\n",
-    "    Identify which input array does not contain\n",
-    "    any labels.\n",
-    "    >>> identify_where_class_missing([[True, False],[True, False]],[[False, False],[False, False]])\n",
-    "    2\n",
-    "    >>> identify_where_class_missing([False],[True])\n",
-    "    1\n",
-    "    >>> identify_where_class_missing([False],[False])\n",
-    "    3\n",
-    "    >>> identify_where_class_missing([True],[True])\n",
-    "    0\n",
-    "    \"\"\"\n",
-    "    missing_arr1 = not np.any(arr1)\n",
-    "    missing_arr2 = not np.any(arr2)\n",
-    "    if not missing_arr1 and not missing_arr2:\n",
-    "        return 0\n",
-    "    elif missing_arr1 and not missing_arr2:\n",
-    "        return 1\n",
-    "    elif missing_arr2 and not missing_arr1:\n",
-    "        return 2\n",
-    "    elif missing_arr1 and missing_arr2:\n",
-    "        return 3"
+    "sys.path.append(\".\")\n",
+    "import glob\n",
+    "from helpers import *"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# lat0, lat1, lon0, lon1 = [7.5, 17, -60.25, -45]\n",
-    "lat0, lat1, lon0, lon1 = [10, 20, -58, -48]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 93,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "color_dict = {'Sugar':'#A1D791','Fish':'#2281BB','Gravel':'#3EAE47', 'Flowers': '#93D2E2'}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 94,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# time_set_A = set(mask_ABI_IR.time.dt.floor(freq='1D').values)\n",
-    "time_set_A = set(mask_ABI_IR.time.dt.floor(freq='1T').values)\n",
-    "time_set_B = set(mask_manual_classifications.date.values)\n",
-    "common_dates = np.array([*time_set_A.intersection(time_set_B)])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "46.583333333333336"
+       "'1.3.4'"
       ]
      },
-     "execution_count": 95,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "len(common_dates)/12"
+    "pd.__version__"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 96,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "# time_mask_ABIIR = np.in1d(mask_ABI_IR.time.dt.floor(freq='1D').values,common_dates)\n",
-    "time_mask_ABIIR = np.in1d(mask_ABI_IR.time.dt.floor(freq='1T').values,common_dates)"
+    "## Calculate IoUs and compute classification mask"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
-    "mask_ABI_IR_timesel = mask_ABI_IR.sel(time=time_mask_ABIIR)\n",
-    "# mask_ABI_IR_timesel['date'] = mask_ABI_IR_timesel.time.dt.floor(freq='1D')\n",
-    "mask_ABI_IR_timesel['date'] = mask_ABI_IR_timesel.time.dt.floor(freq='1T')"
+    "### Open neural network classifications\n",
+    "mask_ABI_IR = xr.open_zarr(fn_ABI_IR)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "mask_manual_timesel = mask_manual_classifications.sel(date=common_dates)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 99,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "\r",
-      "  0%|          | 0/559 [00:00<?, ?it/s]"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Find common times to all datasets\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "100%|██████████| 559/559 [47:13<00:00,  5.07s/it] \n"
-     ]
-    }
-   ],
-   "source": [
-    "results = {}\n",
+    "for workflow, l3_file in files_manualClassifications_l3.items():\n",
+    "    ### Open manual classifications\n",
+    "    if '.zarr' in l3_file:\n",
+    "        mask_manual_classifications = xr.open_zarr(l3_file)\n",
+    "    elif '.nc' in l3_file:\n",
+    "        mask_manual_classifications = xr.open_dataset(l3_file)\n",
+    "    else:\n",
+    "        print('File format not supported')\n",
+    "    \n",
+    "    # find common times\n",
+    "    time_set_A = set(mask_ABI_IR.time.dt.floor(freq='1T').values)\n",
+    "    time_set_B = set(mask_manual_classifications.date.values)\n",
+    "    common_dates = np.array([*time_set_A.intersection(time_set_B)])\n",
+    "    times_of_interest = sorted(np.unique(common_dates))\n",
     "\n",
-    "print(\"Find common times to all datasets\")\n",
-    "times_of_interest = sorted(np.unique(common_dates))\n",
+    "    time_mask_ABIIR = np.in1d(mask_ABI_IR.time.dt.floor(freq='1T').values,common_dates)\n",
     "\n",
-    "sizes_calculated = False\n",
+    "    mask_ABI_IR_timesel = mask_ABI_IR.sel(time=time_mask_ABIIR)\n",
+    "    mask_ABI_IR_timesel['date'] = mask_ABI_IR_timesel.time.dt.floor(freq='1T')\n",
     "\n",
-    "for ii, i in enumerate(tqdm.tqdm(range(len(times_of_interest)))):\n",
-    "    mask_ABI_IR_timestep = mask_ABI_IR_timesel.where(mask_ABI_IR_timesel.date == times_of_interest[i], drop=True)\n",
-    "    mask_manual_timestep = mask_manual_timesel.sel(date=times_of_interest[i])\n",
-    "    \n",
+    "    mask_manual_timesel = mask_manual_classifications.sel(date=common_dates)\n",
     "\n",
+    "    results = {}\n",
     "\n",
-    "    mask_ABI_IR_timestep = mask_ABI_IR_timestep.sel(latitude=slice(lat1, lat0),longitude=slice(lon0, lon1))\n",
-    "    mask_manual_timestep = mask_manual_timestep.sel(latitude=slice(lat1, lat0),longitude=slice(lon0, lon1))\n",
-    "        \n",
-    "    if sizes_calculated is False:\n",
-    "        size_ABI = len(mask_ABI_IR_timestep.latitude)*len(mask_ABI_IR_timestep.longitude)\n",
-    "        size_manual = len(mask_manual_timestep.latitude)*len(mask_manual_timestep.longitude)\n",
-    "        sizes_calculated = True\n",
-    "        \n",
-    "# for d, date in enumerate(tqdm.tqdm(dates_in_all_datasets)):\n",
-    "    pattern_results = {}\n",
-    "    \n",
-    "    for pattern in ['Sugar', 'Gravel', 'Flowers', 'Fish']:\n",
-    "        arr_ABI = mask_ABI_IR_timestep.mask.sel(pattern=pattern)\n",
-    "        arr_manual = mask_manual_timestep.freq.sel(pattern=pattern)\n",
-    "        pattern_results[pattern] = {}\n",
-    "        \n",
-    "        merged_mask_ABI = merge_mask(arr_ABI)\n",
-    "        merged_mask_manual = arr_manual > 0.1 #merge_mask(arr_ABI_IR)\n",
-    "        \n",
-    "        merged_mask_ABI = merged_mask_ABI.fillna(False).astype(bool).load()\n",
-    "        merged_mask_manual = merged_mask_manual.load()\n",
-    "        \n",
-    "        pattern_results[pattern][\"area_fraction_ABI\"] = np.count_nonzero(merged_mask_ABI)/size_ABI\n",
-    "        pattern_results[pattern][\"area_fraction_Manual\"] = np.count_nonzero(merged_mask_manual)/size_manual\n",
-    "        \n",
-    "#         iou_ABI_Manual = iou_one_class_from_annos(merged_mask_ABI.values,\n",
-    "#                                                 merged_mask_manual.values,\n",
-    "#                                                 return_iou = True)\n",
-    "#         print(iou_ABI_Manual)\n",
-    "#         pattern_results[pattern][\"iou_ABI_Manual\"] = iou_ABI_Manual\n",
-    "        pattern_results[pattern][\"missing_ABI_Manual\"] = identify_where_class_missing(merged_mask_ABI,\n",
-    "                                                                                    merged_mask_manual)\n",
-    "        \n",
-    "    \n",
-    "    results[times_of_interest[i]] = pattern_results"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 100,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = pd.DataFrame.from_dict(results, orient='index')\n",
-    "df.to_pickle('agreement_results_ABI-IR_vs_manualICONalb_20211117.pkl')"
+    "    print(\"Find common times to all datasets\")\n",
+    "    sizes_calculated = False\n",
+    "\n",
+    "    for ii, i in enumerate(tqdm.tqdm(range(len(times_of_interest)))):\n",
+    "        if ii > 12: continue\n",
+    "        mask_ABI_IR_timestep = mask_ABI_IR_timesel.where(mask_ABI_IR_timesel.date == times_of_interest[i], drop=True)\n",
+    "        mask_manual_timestep = mask_manual_timesel.sel(date=times_of_interest[i])\n",
+    "\n",
+    "\n",
+    "\n",
+    "        mask_ABI_IR_timestep = mask_ABI_IR_timestep.sel(latitude=slice(lat1, lat0),longitude=slice(lon0, lon1))\n",
+    "        mask_manual_timestep = mask_manual_timestep.sel(latitude=slice(lat1, lat0),longitude=slice(lon0, lon1))\n",
+    "\n",
+    "        if sizes_calculated is False:\n",
+    "            size_ABI = len(mask_ABI_IR_timestep.latitude)*len(mask_ABI_IR_timestep.longitude)\n",
+    "            size_manual = len(mask_manual_timestep.latitude)*len(mask_manual_timestep.longitude)\n",
+    "            sizes_calculated = True\n",
+    "\n",
+    "    # for d, date in enumerate(tqdm.tqdm(dates_in_all_datasets)):\n",
+    "        pattern_results = {}\n",
+    "\n",
+    "        for pattern in ['Sugar', 'Gravel', 'Flowers', 'Fish']:\n",
+    "            arr_ABI = mask_ABI_IR_timestep.mask.sel(pattern=pattern)\n",
+    "            arr_manual = mask_manual_timestep.freq.sel(pattern=pattern)\n",
+    "            pattern_results[pattern] = {}\n",
+    "\n",
+    "            merged_mask_ABI = merge_mask(arr_ABI)\n",
+    "            merged_mask_manual = arr_manual > frequency_threshold\n",
+    "\n",
+    "            merged_mask_ABI = merged_mask_ABI.fillna(False).astype(bool).load()\n",
+    "            merged_mask_manual = merged_mask_manual.load()\n",
+    "\n",
+    "            pattern_results[pattern][\"area_fraction_ABI\"] = np.count_nonzero(merged_mask_ABI)/size_ABI\n",
+    "            pattern_results[pattern][f\"area_fraction_{workflow}\"] = np.count_nonzero(merged_mask_manual)/size_manual\n",
+    "\n",
+    "            iou_ABI_Manual = iou_one_class_from_annos(merged_mask_ABI.values,\n",
+    "                                                    merged_mask_manual.values,\n",
+    "                                                    return_iou = True)\n",
+    "\n",
+    "            pattern_results[pattern][f\"iou_ABI_{workflow}\"] = iou_ABI_Manual\n",
+    "            pattern_results[pattern][f\"missing_ABI_{workflow}\"] = identify_where_class_missing(merged_mask_ABI,\n",
+    "                                                                                        merged_mask_manual)\n",
+    "\n",
+    "\n",
+    "        results[times_of_interest[i]] = pattern_results\n",
+    "    df = pd.DataFrame.from_dict(results, orient='index')\n",
+    "    df.to_pickle(f'agreement_results_ABI-IR_vs_{workflow}.pkl')"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "df = pd.DataFrame.from_dict(results, orient='index')\n",
-    "df.to_pickle('agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_{n:04d}_20210511.pkl'.format(n=d))## Analyze agreement"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 103,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import glob"
+    "## Load computed data and merge with existing computations of other workflows"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 104,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "agreement_results_ABI-IR_vs_ICON-DOM01_20210930.pkl\r\n",
-      "agreement_results_ABI-IR_vs_ICON-DOM01_20211003.pkl\r\n",
-      "agreement_results_ABI-IR_vs_ICON-DOM02_20211006.pkl\r\n",
-      "agreement_results_ABI-IR_vs_ICON-DOM02_20211007.pkl\r\n",
-      "agreement_results_ABI-IR_vs_manual_20211111.pkl\r\n",
-      "agreement_results_ABI-IR_vs_manual_20211112.pkl\r\n",
-      "agreement_results_ABI-IR_vs_manualICONalb_20211117.pkl\r\n",
-      "agreement_results_ABI-IR_vs_manualVIS_20211117.pkl\r\n",
-      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0100_20210511.pkl\r\n",
-      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0100.pkl\r\n",
-      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0200_20210511.pkl\r\n",
-      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0200.pkl\r\n",
-      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0300_20210511.pkl\r\n",
-      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0300.pkl\r\n",
-      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0332_20210511.pkl\r\n",
-      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0400.pkl\r\n",
-      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0500.pkl\r\n",
-      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0600.pkl\r\n",
-      "agreement_results_MODIS_IR_vs_MODIS_VIS_vs_ABI_IR_0698.pkl\r\n"
+      "['agreement_results_ABI-IR_vs_manualVIS.pkl', 'agreement_results_ABI-IR_vs_manualIR.pkl', 'agreement_results_ABI-IR_vs_manualICON.pkl']\n"
      ]
     }
    ],
    "source": [
-    "!ls agreement_results*"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 125,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def rename_keys(dic, string):\n",
-    "    if isinstance(dic, dict):\n",
-    "        dic_new = {}\n",
-    "        for k,v in dic.items():\n",
-    "            dic_new[k.replace('Manual',string)] = v\n",
-    "        return dic_new\n",
-    "    return dic"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 143,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "['agreement_results_ABI-IR_vs_manualICONalb_20211117.pkl'\n",
-      " 'agreement_results_ABI-IR_vs_manualVIS_20211117.pkl'\n",
-      " 'agreement_results_ABI-IR_vs_manual_20211112.pkl']\n",
-      "moya\n",
-      "eya\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Read output created by agreement_NN.py\n",
-    "agreement_files = np.array(sorted(glob.glob(\"agreement_results_ABI-IR_vs_manual*_2021111[27].pkl\")))\n",
-    "# agreement_files = np.array(sorted(glob.glob(\"agreement_results_ABI-IR_vs_manual_20211112.pkl\")))\n",
-    "# agreement_files = np.array(sorted(glob.glob(\"agreement_results_ABI-IR_vs_manual_20211111.pkl\")))\n",
-    "# agreement_files = np.array(sorted(glob.glob(\"agreement_results_ABI-IR_vs_ICON-DOM02_20211007.pkl\")))\n",
+    "# Read output created by agreement_NN.py or the code section above\n",
+    "agreement_files = []\n",
+    "for workflow, _ in files_manualClassifications_l3.items():\n",
+    "    file = f\"agreement_results_ABI-IR_vs_{workflow}.pkl\"\n",
+    "    if os.path.isfile(file):\n",
+    "        agreement_files.append(f\"agreement_results_ABI-IR_vs_{workflow}.pkl\")\n",
+    "\n",
     "print(agreement_files)\n",
     "dataframes = [None]*len(agreement_files)\n",
     "for f,file in enumerate(agreement_files):\n",
-    "    dataframes[f] = pd.read_pickle(file)\n",
-    "    if 'manualVIS' in file:\n",
-    "        dataframes[f]=dataframes[f].applymap(lambda x: rename_keys(x, 'ManualVIS'))\n",
-    "    elif 'manualICONalb' in file:\n",
-    "        dataframes[f]=dataframes[f].applymap(lambda x: rename_keys(x, 'ManualICON'))"
+    "    dataframes[f] = pd.read_pickle(file)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'1.3.4'"
-      ]
-     },
-     "execution_count": 127,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pd.__version__"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 144,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -1548,38 +289,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2020-01-07 02:00:00</th>\n",
-       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_manu...</td>\n",
        "      <td>{'area_fraction_ABI': 0.82656, 'area_fraction_...</td>\n",
-       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
-       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_manu...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2020-01-07 04:00:00</th>\n",
-       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
-       "      <td>{'area_fraction_ABI': 0.9, 'area_fraction_Manu...</td>\n",
-       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
-       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.9, 'area_fraction_manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_manu...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2020-01-07 06:00:00</th>\n",
-       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_manu...</td>\n",
        "      <td>{'area_fraction_ABI': 0.784131, 'area_fraction...</td>\n",
-       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
-       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_manu...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2020-01-07 08:00:00</th>\n",
-       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_manu...</td>\n",
        "      <td>{'area_fraction_ABI': 0.800765, 'area_fraction...</td>\n",
-       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
-       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_manu...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2020-01-07 10:00:00</th>\n",
-       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_manu...</td>\n",
        "      <td>{'area_fraction_ABI': 0.817747, 'area_fraction...</td>\n",
-       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
-       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_Manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_manu...</td>\n",
+       "      <td>{'area_fraction_ABI': 0.0, 'area_fraction_manu...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1587,35 +328,35 @@
       ],
       "text/plain": [
        "                                                                 Sugar  \\\n",
-       "2020-01-07 02:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
-       "2020-01-07 04:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
-       "2020-01-07 06:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
-       "2020-01-07 08:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
-       "2020-01-07 10:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
+       "2020-01-07 02:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_manu...   \n",
+       "2020-01-07 04:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_manu...   \n",
+       "2020-01-07 06:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_manu...   \n",
+       "2020-01-07 08:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_manu...   \n",
+       "2020-01-07 10:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_manu...   \n",
        "\n",
        "                                                                Gravel  \\\n",
        "2020-01-07 02:00:00  {'area_fraction_ABI': 0.82656, 'area_fraction_...   \n",
-       "2020-01-07 04:00:00  {'area_fraction_ABI': 0.9, 'area_fraction_Manu...   \n",
+       "2020-01-07 04:00:00  {'area_fraction_ABI': 0.9, 'area_fraction_manu...   \n",
        "2020-01-07 06:00:00  {'area_fraction_ABI': 0.784131, 'area_fraction...   \n",
        "2020-01-07 08:00:00  {'area_fraction_ABI': 0.800765, 'area_fraction...   \n",
        "2020-01-07 10:00:00  {'area_fraction_ABI': 0.817747, 'area_fraction...   \n",
        "\n",
        "                                                               Flowers  \\\n",
-       "2020-01-07 02:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
-       "2020-01-07 04:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
-       "2020-01-07 06:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
-       "2020-01-07 08:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
-       "2020-01-07 10:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...   \n",
+       "2020-01-07 02:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_manu...   \n",
+       "2020-01-07 04:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_manu...   \n",
+       "2020-01-07 06:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_manu...   \n",
+       "2020-01-07 08:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_manu...   \n",
+       "2020-01-07 10:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_manu...   \n",
        "\n",
        "                                                                  Fish  \n",
-       "2020-01-07 02:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...  \n",
-       "2020-01-07 04:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...  \n",
-       "2020-01-07 06:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...  \n",
-       "2020-01-07 08:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...  \n",
-       "2020-01-07 10:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_Manu...  "
+       "2020-01-07 02:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_manu...  \n",
+       "2020-01-07 04:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_manu...  \n",
+       "2020-01-07 06:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_manu...  \n",
+       "2020-01-07 08:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_manu...  \n",
+       "2020-01-07 10:00:00  {'area_fraction_ABI': 0.0, 'area_fraction_manu...  "
       ]
      },
-     "execution_count": 144,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1627,10 +368,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 145,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
+    "# Restrict analysis by time period\n",
     "mask = (df_all.index >= '2020-01-07') & (df_all.index <= '2020-02-22')\n",
     "# IOP\n",
     "#20 January and 20 February 2020\n",
@@ -1639,7 +381,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 146,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1648,7 +390,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 147,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1660,7 +402,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 148,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1673,7 +415,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 149,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1684,7 +426,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 150,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
@@ -1709,72 +451,72 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Sugar_area_fraction_ABI</th>\n",
-       "      <th>Sugar_area_fraction_ManualICON</th>\n",
-       "      <th>Sugar_missing_ABI_ManualICON</th>\n",
-       "      <th>Sugar_area_fraction_ManualVIS</th>\n",
-       "      <th>Sugar_missing_ABI_ManualVIS</th>\n",
-       "      <th>Sugar_area_fraction_Manual</th>\n",
-       "      <th>Sugar_iou_ABI_Manual</th>\n",
-       "      <th>Sugar_missing_ABI_Manual</th>\n",
-       "      <th>Gravel_area_fraction_ABI</th>\n",
-       "      <th>Gravel_area_fraction_ManualICON</th>\n",
+       "      <th>Sugar_area_fraction_manualVIS</th>\n",
+       "      <th>Sugar_iou_ABI_manualVIS</th>\n",
+       "      <th>Sugar_missing_ABI_manualVIS</th>\n",
+       "      <th>Sugar_area_fraction_manualIR</th>\n",
+       "      <th>Sugar_iou_ABI_manualIR</th>\n",
+       "      <th>Sugar_missing_ABI_manualIR</th>\n",
+       "      <th>Sugar_area_fraction_manualICON</th>\n",
+       "      <th>Sugar_iou_ABI_manualICON</th>\n",
+       "      <th>Sugar_missing_ABI_manualICON</th>\n",
        "      <th>...</th>\n",
-       "      <th>Flowers_iou_ABI_Manual</th>\n",
-       "      <th>Flowers_missing_ABI_Manual</th>\n",
        "      <th>Fish_area_fraction_ABI</th>\n",
-       "      <th>Fish_area_fraction_ManualICON</th>\n",
-       "      <th>Fish_missing_ABI_ManualICON</th>\n",
-       "      <th>Fish_area_fraction_ManualVIS</th>\n",
-       "      <th>Fish_missing_ABI_ManualVIS</th>\n",
-       "      <th>Fish_area_fraction_Manual</th>\n",
-       "      <th>Fish_iou_ABI_Manual</th>\n",
-       "      <th>Fish_missing_ABI_Manual</th>\n",
+       "      <th>Fish_area_fraction_manualVIS</th>\n",
+       "      <th>Fish_iou_ABI_manualVIS</th>\n",
+       "      <th>Fish_missing_ABI_manualVIS</th>\n",
+       "      <th>Fish_area_fraction_manualIR</th>\n",
+       "      <th>Fish_iou_ABI_manualIR</th>\n",
+       "      <th>Fish_missing_ABI_manualIR</th>\n",
+       "      <th>Fish_area_fraction_manualICON</th>\n",
+       "      <th>Fish_iou_ABI_manualICON</th>\n",
+       "      <th>Fish_missing_ABI_manualICON</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2020-01-07 02:00:00</th>\n",
-       "      <td>0.000000</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>3.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.826560</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>3.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2020-01-07 02:00:00</th>\n",
-       "      <td>0.000000</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>3.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.826560</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
        "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>3.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -1782,71 +524,71 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2020-01-07 02:00:00</th>\n",
-       "      <td>0.000000</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>3.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.826560</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>3.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2020-01-07 02:00:00</th>\n",
-       "      <td>0.000000</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>3.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.826560</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>3.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2020-01-07 02:00:00</th>\n",
-       "      <td>0.000000</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>3.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.826560</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
        "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>3.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -1877,304 +619,278 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-02-22 00:00:00</th>\n",
-       "      <td>0.548682</td>\n",
+       "      <th>2020-01-08 02:00:00</th>\n",
+       "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.299228</td>\n",
-       "      <td>0.383417</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.338272</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>...</td>\n",
        "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>3.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-02-22 00:00:00</th>\n",
-       "      <td>0.548682</td>\n",
+       "      <th>2020-01-08 02:00:00</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.299228</td>\n",
-       "      <td>0.383417</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.338272</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
        "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.342138</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-02-22 00:00:00</th>\n",
-       "      <td>0.548682</td>\n",
+       "      <th>2020-01-08 02:00:00</th>\n",
+       "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.299228</td>\n",
-       "      <td>0.383417</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.338272</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>3.0</td>\n",
+       "      <td>...</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>3.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-02-22 00:00:00</th>\n",
-       "      <td>0.548682</td>\n",
+       "      <th>2020-01-08 02:00:00</th>\n",
+       "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.299228</td>\n",
-       "      <td>0.383417</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.338272</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>3.0</td>\n",
+       "      <td>...</td>\n",
        "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>3.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-02-22 00:00:00</th>\n",
-       "      <td>0.548682</td>\n",
+       "      <th>2020-01-08 02:00:00</th>\n",
+       "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.299228</td>\n",
-       "      <td>0.383417</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.338272</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>3.0</td>\n",
+       "      <td>...</td>\n",
        "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.342138</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
-       "</table>\n",
-       "<p>44388 rows × 32 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                     Sugar_area_fraction_ABI  Sugar_area_fraction_ManualICON  \\\n",
-       "2020-01-07 02:00:00                 0.000000                             0.0   \n",
-       "2020-01-07 02:00:00                 0.000000                             0.0   \n",
-       "2020-01-07 02:00:00                 0.000000                             0.0   \n",
-       "2020-01-07 02:00:00                 0.000000                             0.0   \n",
-       "2020-01-07 02:00:00                 0.000000                             0.0   \n",
-       "...                                      ...                             ...   \n",
-       "2020-02-22 00:00:00                 0.548682                             NaN   \n",
-       "2020-02-22 00:00:00                 0.548682                             NaN   \n",
-       "2020-02-22 00:00:00                 0.548682                             NaN   \n",
-       "2020-02-22 00:00:00                 0.548682                             NaN   \n",
-       "2020-02-22 00:00:00                 0.548682                             NaN   \n",
-       "\n",
-       "                     Sugar_missing_ABI_ManualICON  \\\n",
-       "2020-01-07 02:00:00                           3.0   \n",
-       "2020-01-07 02:00:00                           3.0   \n",
-       "2020-01-07 02:00:00                           3.0   \n",
-       "2020-01-07 02:00:00                           3.0   \n",
-       "2020-01-07 02:00:00                           3.0   \n",
-       "...                                           ...   \n",
-       "2020-02-22 00:00:00                           NaN   \n",
-       "2020-02-22 00:00:00                           NaN   \n",
-       "2020-02-22 00:00:00                           NaN   \n",
-       "2020-02-22 00:00:00                           NaN   \n",
-       "2020-02-22 00:00:00                           NaN   \n",
-       "\n",
-       "                     Sugar_area_fraction_ManualVIS  \\\n",
-       "2020-01-07 02:00:00                            NaN   \n",
-       "2020-01-07 02:00:00                            NaN   \n",
-       "2020-01-07 02:00:00                            NaN   \n",
-       "2020-01-07 02:00:00                            NaN   \n",
-       "2020-01-07 02:00:00                            NaN   \n",
-       "...                                            ...   \n",
-       "2020-02-22 00:00:00                            NaN   \n",
-       "2020-02-22 00:00:00                            NaN   \n",
-       "2020-02-22 00:00:00                            NaN   \n",
-       "2020-02-22 00:00:00                            NaN   \n",
-       "2020-02-22 00:00:00                            NaN   \n",
-       "\n",
-       "                     Sugar_missing_ABI_ManualVIS  Sugar_area_fraction_Manual  \\\n",
-       "2020-01-07 02:00:00                          NaN                         NaN   \n",
-       "2020-01-07 02:00:00                          NaN                         NaN   \n",
-       "2020-01-07 02:00:00                          NaN                         NaN   \n",
-       "2020-01-07 02:00:00                          NaN                         NaN   \n",
-       "2020-01-07 02:00:00                          NaN                         NaN   \n",
-       "...                                          ...                         ...   \n",
-       "2020-02-22 00:00:00                          NaN                    0.299228   \n",
-       "2020-02-22 00:00:00                          NaN                    0.299228   \n",
-       "2020-02-22 00:00:00                          NaN                    0.299228   \n",
-       "2020-02-22 00:00:00                          NaN                    0.299228   \n",
-       "2020-02-22 00:00:00                          NaN                    0.299228   \n",
-       "\n",
-       "                     Sugar_iou_ABI_Manual  Sugar_missing_ABI_Manual  \\\n",
-       "2020-01-07 02:00:00                   NaN                       NaN   \n",
-       "2020-01-07 02:00:00                   NaN                       NaN   \n",
-       "2020-01-07 02:00:00                   NaN                       NaN   \n",
-       "2020-01-07 02:00:00                   NaN                       NaN   \n",
-       "2020-01-07 02:00:00                   NaN                       NaN   \n",
-       "...                                   ...                       ...   \n",
-       "2020-02-22 00:00:00              0.383417                       0.0   \n",
-       "2020-02-22 00:00:00              0.383417                       0.0   \n",
-       "2020-02-22 00:00:00              0.383417                       0.0   \n",
-       "2020-02-22 00:00:00              0.383417                       0.0   \n",
-       "2020-02-22 00:00:00              0.383417                       0.0   \n",
-       "\n",
-       "                     Gravel_area_fraction_ABI  \\\n",
-       "2020-01-07 02:00:00                  0.826560   \n",
-       "2020-01-07 02:00:00                  0.826560   \n",
-       "2020-01-07 02:00:00                  0.826560   \n",
-       "2020-01-07 02:00:00                  0.826560   \n",
-       "2020-01-07 02:00:00                  0.826560   \n",
-       "...                                       ...   \n",
-       "2020-02-22 00:00:00                  0.338272   \n",
-       "2020-02-22 00:00:00                  0.338272   \n",
-       "2020-02-22 00:00:00                  0.338272   \n",
-       "2020-02-22 00:00:00                  0.338272   \n",
-       "2020-02-22 00:00:00                  0.338272   \n",
-       "\n",
-       "                     Gravel_area_fraction_ManualICON  ...  \\\n",
-       "2020-01-07 02:00:00                              0.0  ...   \n",
-       "2020-01-07 02:00:00                              0.0  ...   \n",
-       "2020-01-07 02:00:00                              0.0  ...   \n",
-       "2020-01-07 02:00:00                              0.0  ...   \n",
-       "2020-01-07 02:00:00                              0.0  ...   \n",
-       "...                                              ...  ...   \n",
-       "2020-02-22 00:00:00                              NaN  ...   \n",
-       "2020-02-22 00:00:00                              NaN  ...   \n",
-       "2020-02-22 00:00:00                              NaN  ...   \n",
-       "2020-02-22 00:00:00                              NaN  ...   \n",
-       "2020-02-22 00:00:00                              NaN  ...   \n",
-       "\n",
-       "                     Flowers_iou_ABI_Manual  Flowers_missing_ABI_Manual  \\\n",
-       "2020-01-07 02:00:00                     NaN                         NaN   \n",
-       "2020-01-07 02:00:00                     NaN                         NaN   \n",
+       "</table>\n",
+       "<p>1053 rows × 40 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     Sugar_area_fraction_ABI  Sugar_area_fraction_manualVIS  \\\n",
+       "2020-01-07 02:00:00                      0.0                            0.0   \n",
+       "2020-01-07 02:00:00                      0.0                            0.0   \n",
+       "2020-01-07 02:00:00                      0.0                            0.0   \n",
+       "2020-01-07 02:00:00                      0.0                            0.0   \n",
+       "2020-01-07 02:00:00                      0.0                            0.0   \n",
+       "...                                      ...                            ...   \n",
+       "2020-01-08 02:00:00                      0.0                            NaN   \n",
+       "2020-01-08 02:00:00                      0.0                            NaN   \n",
+       "2020-01-08 02:00:00                      0.0                            NaN   \n",
+       "2020-01-08 02:00:00                      0.0                            NaN   \n",
+       "2020-01-08 02:00:00                      0.0                            NaN   \n",
+       "\n",
+       "                     Sugar_iou_ABI_manualVIS  Sugar_missing_ABI_manualVIS  \\\n",
+       "2020-01-07 02:00:00                      NaN                          3.0   \n",
+       "2020-01-07 02:00:00                      NaN                          3.0   \n",
+       "2020-01-07 02:00:00                      NaN                          3.0   \n",
+       "2020-01-07 02:00:00                      NaN                          3.0   \n",
+       "2020-01-07 02:00:00                      NaN                          3.0   \n",
+       "...                                      ...                          ...   \n",
+       "2020-01-08 02:00:00                      NaN                          NaN   \n",
+       "2020-01-08 02:00:00                      NaN                          NaN   \n",
+       "2020-01-08 02:00:00                      NaN                          NaN   \n",
+       "2020-01-08 02:00:00                      NaN                          NaN   \n",
+       "2020-01-08 02:00:00                      NaN                          NaN   \n",
+       "\n",
+       "                     Sugar_area_fraction_manualIR  Sugar_iou_ABI_manualIR  \\\n",
+       "2020-01-07 02:00:00                           NaN                     NaN   \n",
+       "2020-01-07 02:00:00                           NaN                     NaN   \n",
+       "2020-01-07 02:00:00                           NaN                     NaN   \n",
+       "2020-01-07 02:00:00                           NaN                     NaN   \n",
+       "2020-01-07 02:00:00                           NaN                     NaN   \n",
+       "...                                           ...                     ...   \n",
+       "2020-01-08 02:00:00                           NaN                     NaN   \n",
+       "2020-01-08 02:00:00                           NaN                     NaN   \n",
+       "2020-01-08 02:00:00                           NaN                     NaN   \n",
+       "2020-01-08 02:00:00                           NaN                     NaN   \n",
+       "2020-01-08 02:00:00                           NaN                     NaN   \n",
+       "\n",
+       "                     Sugar_missing_ABI_manualIR  \\\n",
+       "2020-01-07 02:00:00                         NaN   \n",
+       "2020-01-07 02:00:00                         NaN   \n",
+       "2020-01-07 02:00:00                         NaN   \n",
+       "2020-01-07 02:00:00                         NaN   \n",
+       "2020-01-07 02:00:00                         NaN   \n",
+       "...                                         ...   \n",
+       "2020-01-08 02:00:00                         NaN   \n",
+       "2020-01-08 02:00:00                         NaN   \n",
+       "2020-01-08 02:00:00                         NaN   \n",
+       "2020-01-08 02:00:00                         NaN   \n",
+       "2020-01-08 02:00:00                         NaN   \n",
+       "\n",
+       "                     Sugar_area_fraction_manualICON  Sugar_iou_ABI_manualICON  \\\n",
+       "2020-01-07 02:00:00                             NaN                       NaN   \n",
+       "2020-01-07 02:00:00                             NaN                       NaN   \n",
+       "2020-01-07 02:00:00                             NaN                       NaN   \n",
+       "2020-01-07 02:00:00                             NaN                       NaN   \n",
+       "2020-01-07 02:00:00                             NaN                       NaN   \n",
+       "...                                             ...                       ...   \n",
+       "2020-01-08 02:00:00                             0.0                       NaN   \n",
+       "2020-01-08 02:00:00                             0.0                       NaN   \n",
+       "2020-01-08 02:00:00                             0.0                       NaN   \n",
+       "2020-01-08 02:00:00                             0.0                       NaN   \n",
+       "2020-01-08 02:00:00                             0.0                       NaN   \n",
+       "\n",
+       "                     Sugar_missing_ABI_manualICON  ...  \\\n",
+       "2020-01-07 02:00:00                           NaN  ...   \n",
+       "2020-01-07 02:00:00                           NaN  ...   \n",
+       "2020-01-07 02:00:00                           NaN  ...   \n",
+       "2020-01-07 02:00:00                           NaN  ...   \n",
+       "2020-01-07 02:00:00                           NaN  ...   \n",
+       "...                                           ...  ...   \n",
+       "2020-01-08 02:00:00                           3.0  ...   \n",
+       "2020-01-08 02:00:00                           3.0  ...   \n",
+       "2020-01-08 02:00:00                           3.0  ...   \n",
+       "2020-01-08 02:00:00                           3.0  ...   \n",
+       "2020-01-08 02:00:00                           3.0  ...   \n",
+       "\n",
+       "                     Fish_area_fraction_ABI  Fish_area_fraction_manualVIS  \\\n",
+       "2020-01-07 02:00:00                     0.0                           0.0   \n",
+       "2020-01-07 02:00:00                     0.0                           NaN   \n",
+       "2020-01-07 02:00:00                     0.0                           NaN   \n",
+       "2020-01-07 02:00:00                     0.0                           0.0   \n",
+       "2020-01-07 02:00:00                     0.0                           NaN   \n",
+       "...                                     ...                           ...   \n",
+       "2020-01-08 02:00:00                     0.0                           NaN   \n",
+       "2020-01-08 02:00:00                     0.0                           NaN   \n",
+       "2020-01-08 02:00:00                     0.0                           0.0   \n",
+       "2020-01-08 02:00:00                     0.0                           NaN   \n",
+       "2020-01-08 02:00:00                     0.0                           NaN   \n",
+       "\n",
+       "                     Fish_iou_ABI_manualVIS  Fish_missing_ABI_manualVIS  \\\n",
+       "2020-01-07 02:00:00                     NaN                         3.0   \n",
        "2020-01-07 02:00:00                     NaN                         NaN   \n",
        "2020-01-07 02:00:00                     NaN                         NaN   \n",
+       "2020-01-07 02:00:00                     NaN                         3.0   \n",
        "2020-01-07 02:00:00                     NaN                         NaN   \n",
        "...                                     ...                         ...   \n",
-       "2020-02-22 00:00:00                     NaN                         NaN   \n",
-       "2020-02-22 00:00:00                     NaN                         NaN   \n",
-       "2020-02-22 00:00:00                     NaN                         3.0   \n",
-       "2020-02-22 00:00:00                     NaN                         3.0   \n",
-       "2020-02-22 00:00:00                     NaN                         3.0   \n",
-       "\n",
-       "                     Fish_area_fraction_ABI  Fish_area_fraction_ManualICON  \\\n",
-       "2020-01-07 02:00:00                     0.0                            0.0   \n",
-       "2020-01-07 02:00:00                     0.0                            NaN   \n",
-       "2020-01-07 02:00:00                     0.0                            NaN   \n",
-       "2020-01-07 02:00:00                     0.0                            0.0   \n",
-       "2020-01-07 02:00:00                     0.0                            NaN   \n",
-       "...                                     ...                            ...   \n",
-       "2020-02-22 00:00:00                     0.0                            NaN   \n",
-       "2020-02-22 00:00:00                     0.0                            NaN   \n",
-       "2020-02-22 00:00:00                     0.0                            0.0   \n",
-       "2020-02-22 00:00:00                     0.0                            NaN   \n",
-       "2020-02-22 00:00:00                     0.0                            NaN   \n",
-       "\n",
-       "                     Fish_missing_ABI_ManualICON  \\\n",
-       "2020-01-07 02:00:00                          3.0   \n",
-       "2020-01-07 02:00:00                          NaN   \n",
-       "2020-01-07 02:00:00                          NaN   \n",
-       "2020-01-07 02:00:00                          3.0   \n",
-       "2020-01-07 02:00:00                          NaN   \n",
-       "...                                          ...   \n",
-       "2020-02-22 00:00:00                          NaN   \n",
-       "2020-02-22 00:00:00                          NaN   \n",
-       "2020-02-22 00:00:00                          3.0   \n",
-       "2020-02-22 00:00:00                          NaN   \n",
-       "2020-02-22 00:00:00                          NaN   \n",
-       "\n",
-       "                     Fish_area_fraction_ManualVIS  Fish_missing_ABI_ManualVIS  \\\n",
-       "2020-01-07 02:00:00                           NaN                         NaN   \n",
-       "2020-01-07 02:00:00                           0.0                         3.0   \n",
-       "2020-01-07 02:00:00                           NaN                         NaN   \n",
-       "2020-01-07 02:00:00                           NaN                         NaN   \n",
-       "2020-01-07 02:00:00                           0.0                         3.0   \n",
-       "...                                           ...                         ...   \n",
-       "2020-02-22 00:00:00                           0.0                         3.0   \n",
-       "2020-02-22 00:00:00                           NaN                         NaN   \n",
-       "2020-02-22 00:00:00                           NaN                         NaN   \n",
-       "2020-02-22 00:00:00                           0.0                         3.0   \n",
-       "2020-02-22 00:00:00                           NaN                         NaN   \n",
-       "\n",
-       "                     Fish_area_fraction_Manual  Fish_iou_ABI_Manual  \\\n",
-       "2020-01-07 02:00:00                        NaN                  NaN   \n",
-       "2020-01-07 02:00:00                        NaN                  NaN   \n",
-       "2020-01-07 02:00:00                   0.000000                  NaN   \n",
-       "2020-01-07 02:00:00                        NaN                  NaN   \n",
-       "2020-01-07 02:00:00                        NaN                  NaN   \n",
-       "...                                        ...                  ...   \n",
-       "2020-02-22 00:00:00                        NaN                  NaN   \n",
-       "2020-02-22 00:00:00                   0.342138                  0.0   \n",
-       "2020-02-22 00:00:00                        NaN                  NaN   \n",
-       "2020-02-22 00:00:00                        NaN                  NaN   \n",
-       "2020-02-22 00:00:00                   0.342138                  0.0   \n",
-       "\n",
-       "                     Fish_missing_ABI_Manual  \n",
-       "2020-01-07 02:00:00                      NaN  \n",
-       "2020-01-07 02:00:00                      NaN  \n",
-       "2020-01-07 02:00:00                      3.0  \n",
-       "2020-01-07 02:00:00                      NaN  \n",
-       "2020-01-07 02:00:00                      NaN  \n",
-       "...                                      ...  \n",
-       "2020-02-22 00:00:00                      NaN  \n",
-       "2020-02-22 00:00:00                      1.0  \n",
-       "2020-02-22 00:00:00                      NaN  \n",
-       "2020-02-22 00:00:00                      NaN  \n",
-       "2020-02-22 00:00:00                      1.0  \n",
-       "\n",
-       "[44388 rows x 32 columns]"
+       "2020-01-08 02:00:00                     NaN                         NaN   \n",
+       "2020-01-08 02:00:00                     NaN                         NaN   \n",
+       "2020-01-08 02:00:00                     NaN                         3.0   \n",
+       "2020-01-08 02:00:00                     NaN                         NaN   \n",
+       "2020-01-08 02:00:00                     NaN                         NaN   \n",
+       "\n",
+       "                     Fish_area_fraction_manualIR  Fish_iou_ABI_manualIR  \\\n",
+       "2020-01-07 02:00:00                          NaN                    NaN   \n",
+       "2020-01-07 02:00:00                          0.0                    NaN   \n",
+       "2020-01-07 02:00:00                          NaN                    NaN   \n",
+       "2020-01-07 02:00:00                          NaN                    NaN   \n",
+       "2020-01-07 02:00:00                          0.0                    NaN   \n",
+       "...                                          ...                    ...   \n",
+       "2020-01-08 02:00:00                          0.0                    NaN   \n",
+       "2020-01-08 02:00:00                          NaN                    NaN   \n",
+       "2020-01-08 02:00:00                          NaN                    NaN   \n",
+       "2020-01-08 02:00:00                          0.0                    NaN   \n",
+       "2020-01-08 02:00:00                          NaN                    NaN   \n",
+       "\n",
+       "                     Fish_missing_ABI_manualIR  Fish_area_fraction_manualICON  \\\n",
+       "2020-01-07 02:00:00                        NaN                            NaN   \n",
+       "2020-01-07 02:00:00                        3.0                            NaN   \n",
+       "2020-01-07 02:00:00                        NaN                            0.0   \n",
+       "2020-01-07 02:00:00                        NaN                            NaN   \n",
+       "2020-01-07 02:00:00                        3.0                            NaN   \n",
+       "...                                        ...                            ...   \n",
+       "2020-01-08 02:00:00                        3.0                            NaN   \n",
+       "2020-01-08 02:00:00                        NaN                            0.0   \n",
+       "2020-01-08 02:00:00                        NaN                            NaN   \n",
+       "2020-01-08 02:00:00                        3.0                            NaN   \n",
+       "2020-01-08 02:00:00                        NaN                            0.0   \n",
+       "\n",
+       "                     Fish_iou_ABI_manualICON  Fish_missing_ABI_manualICON  \n",
+       "2020-01-07 02:00:00                      NaN                          NaN  \n",
+       "2020-01-07 02:00:00                      NaN                          NaN  \n",
+       "2020-01-07 02:00:00                      NaN                          3.0  \n",
+       "2020-01-07 02:00:00                      NaN                          NaN  \n",
+       "2020-01-07 02:00:00                      NaN                          NaN  \n",
+       "...                                      ...                          ...  \n",
+       "2020-01-08 02:00:00                      NaN                          NaN  \n",
+       "2020-01-08 02:00:00                      NaN                          3.0  \n",
+       "2020-01-08 02:00:00                      NaN                          NaN  \n",
+       "2020-01-08 02:00:00                      NaN                          NaN  \n",
+       "2020-01-08 02:00:00                      NaN                          3.0  \n",
+       "\n",
+       "[1053 rows x 40 columns]"
       ]
      },
-     "execution_count": 150,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2201,7 +917,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2211,7 +927,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -2229,15 +945,21 @@
    ],
    "source": [
     "prop_dict = {\n",
-    "    \"Manual\":{\n",
+    "    \"manualVIS\":{\n",
+    "        'title': \"Manual$_{VIS}$\"\n",
+    "    },\n",
+    "    \"manualIR\":{\n",
     "        'title': \"Manual$_{IR}$\"\n",
     "    },\n",
+    "    \"manualICON\":{\n",
+    "        'title': \"Manual$_{ICON}$\"\n",
+    "    },\n",
     "    \"ABI\":{\n",
     "        'title': \"ABI$_{IR}$\"\n",
     "    }\n",
     "}\n",
     "fig, axs = plt.subplots(1,2,figsize=(8.4,2),dpi=150,sharey=True)\n",
-    "for a,classification_approach in enumerate([\"ABI\", \"Manual\"]):\n",
+    "for a,classification_approach in enumerate([\"ABI\", \"manualVIS\"]):\n",
     "    means = {}\n",
     "    for p, pattern in enumerate(['Sugar','Gravel','Flowers','Fish']):\n",
     "        means[pattern]=df_all[pattern+'_area_fraction_'+classification_approach].loc[df_all[pattern+'_area_fraction_'+classification_approach] != 0].mean()\n",
@@ -2261,7 +983,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 152,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2270,22 +992,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x2ba7bddbc280>"
+       "<matplotlib.legend.Legend at 0x2b86e747ab50>"
       ]
      },
-     "execution_count": 72,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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       "text/plain": [
        "<Figure size 1200x450 with 1 Axes>"
       ]
@@ -2300,75 +1022,13 @@
     "plt.figure(figsize=(8,3), dpi=150)\n",
     "for pattern in ['Sugar', 'Gravel', 'Flowers', 'Fish']:\n",
     "#     df_daily_mean[f'{pattern}_area_fraction_ABI'].plot(label='ABI', color=color_dict[pattern], linestyle='--')\n",
-    "    df_daily_mean[f'{pattern}_area_fraction_Manual'].plot(label='Manual', color=color_dict[pattern], linestyle='-')\n",
+    "    df_daily_mean[f'{pattern}_area_fraction_manualIR'].plot(label='Manual (IR)', color=color_dict[pattern], linestyle='-')\n",
     "plt.legend()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 135,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "import matplotlib.cm as cm\n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "def plot_clustered_stacked(dfall, labels=None, title=\"multiple stacked bar plot\",  H=\"/\", **kwargs):\n",
-    "    \"\"\"Given a list of dataframes, with identical columns and index, create a clustered stacked bar plot. \n",
-    "labels is a list of the names of the dataframe, used for the legend\n",
-    "title is a string for the title of the plot\n",
-    "H is the hatch used for identification of the different dataframe\"\"\"\n",
-    "\n",
-    "    n_df = len(dfall)\n",
-    "    n_col = len(dfall[0].columns) \n",
-    "    n_ind = len(dfall[0].index)\n",
-    "    axe = plt.subplot(111)\n",
-    "\n",
-    "    for df in dfall : # for each data frame\n",
-    "        axe = df.plot(kind=\"bar\",\n",
-    "                      linewidth=0,\n",
-    "                      stacked=True,\n",
-    "                      ax=axe,\n",
-    "                      legend=False,\n",
-    "                      grid=False,\n",
-    "                      color=color_dict,\n",
-    "                      **kwargs)  # make bar plots\n",
-    "\n",
-    "    h,l = axe.get_legend_handles_labels() # get the handles we want to modify\n",
-    "    for i in range(0, n_df * n_col, n_col): # len(h) = n_col * n_df\n",
-    "        for j, pa in enumerate(h[i:i+n_col]):\n",
-    "            for rect in pa.patches: # for each index\n",
-    "                rect.set_x(rect.get_x() + 1 / float(n_df + 1) * i / float(n_col))\n",
-    "                if H is not None:\n",
-    "                    rect.set_hatch(H * int(i / n_col)) #edited part\n",
-    "                rect.set_edgecolor('white')\n",
-    "                rect.set_width(1 / float(n_df + 1))\n",
-    "\n",
-    "    axe.set_xticks(((np.arange(0, 2 * n_ind, 2) + 1 / float(n_df + 1)) / 2.)[::2])\n",
-    "    axe.set_xticks(((np.arange(0, 2 * n_ind, 2) + 1 / float(n_df + 1)) / 2.), minor=True)\n",
-    "    axe.set_xticklabels(df.index.date[::2], rotation = 90)\n",
-    "    axe.set_title(title)\n",
-    "\n",
-    "    # Add invisible data to add another legend\n",
-    "    n=[]        \n",
-    "    for i in range(n_df):\n",
-    "        if H is None:\n",
-    "            n.append(axe.bar(0, 0, color=\"gray\", edgecolor='white'))\n",
-    "        else:\n",
-    "            n.append(axe.bar(0, 0, color=\"gray\", hatch=H * int(i), edgecolor='white'))\n",
-    "\n",
-    "    l1 = axe.legend(h[:n_col], l[:n_col], loc=[1.01, 0.5])\n",
-    "    if labels is not None:\n",
-    "        l2 = plt.legend(n, labels, loc=[1.01, 0.1]) \n",
-    "    axe.add_artist(l1)\n",
-    "    return axe"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 153,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2381,7 +1041,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 154,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2394,46 +1054,49 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 155,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df2 = df_daily_mean.filter(items=['Sugar_area_fraction_Manual','Gravel_area_fraction_Manual','Flowers_area_fraction_Manual','Fish_area_fraction_Manual']).rename(\n",
-    "    columns={'Sugar_area_fraction_Manual':'Sugar',\n",
-    "             'Gravel_area_fraction_Manual':'Gravel',\n",
-    "             'Flowers_area_fraction_Manual':'Flowers',\n",
-    "             'Fish_area_fraction_Manual':'Fish'})"
+    "df2 = df_daily_mean.filter(items=['Sugar_area_fraction_manualIR','Gravel_area_fraction_manualIR',\n",
+    "                                  'Flowers_area_fraction_manualIR','Fish_area_fraction_manualIR']).rename(\n",
+    "    columns={'Sugar_area_fraction_manualIR':'Sugar',\n",
+    "             'Gravel_area_fraction_manualIR':'Gravel',\n",
+    "             'Flowers_area_fraction_manualIR':'Flowers',\n",
+    "             'Fish_area_fraction_manualIR':'Fish'})"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 156,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df3 = df_daily_mean.filter(items=['Sugar_area_fraction_ManualVIS','Gravel_area_fraction_ManualVIS','Flowers_area_fraction_ManualVIS','Fish_area_fraction_ManualVIS']).rename(\n",
-    "    columns={'Sugar_area_fraction_ManualVIS':'Sugar',\n",
-    "             'Gravel_area_fraction_ManualVIS':'Gravel',\n",
-    "             'Flowers_area_fraction_ManualVIS':'Flowers',\n",
-    "             'Fish_area_fraction_ManualVIS':'Fish'})"
+    "df3 = df_daily_mean.filter(items=['Sugar_area_fraction_manualVIS','Gravel_area_fraction_manualVIS',\n",
+    "                                  'Flowers_area_fraction_manualVIS','Fish_area_fraction_manualVIS']).rename(\n",
+    "    columns={'Sugar_area_fraction_manualVIS':'Sugar',\n",
+    "             'Gravel_area_fraction_manualVIS':'Gravel',\n",
+    "             'Flowers_area_fraction_manualVIS':'Flowers',\n",
+    "             'Fish_area_fraction_manualVIS':'Fish'})"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 157,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df4 = df_daily_mean.filter(items=['Sugar_area_fraction_ManualICON','Gravel_area_fraction_ManualICON','Flowers_area_fraction_ManualICON','Fish_area_fraction_ManualICON']).rename(\n",
-    "    columns={'Sugar_area_fraction_ManualICON':'Sugar',\n",
-    "             'Gravel_area_fraction_ManualICON':'Gravel',\n",
-    "             'Flowers_area_fraction_ManualICON':'Flowers',\n",
-    "             'Fish_area_fraction_ManualICON':'Fish'})"
+    "df4 = df_daily_mean.filter(items=['Sugar_area_fraction_manualICON','Gravel_area_fraction_manualICON',\n",
+    "                                  'Flowers_area_fraction_manualICON','Fish_area_fraction_manualICON']).rename(\n",
+    "    columns={'Sugar_area_fraction_manualICON':'Sugar',\n",
+    "             'Gravel_area_fraction_manualICON':'Gravel',\n",
+    "             'Flowers_area_fraction_manualICON':'Flowers',\n",
+    "             'Fish_area_fraction_manualICON':'Fish'})"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
@@ -2450,7 +1113,7 @@
     }
    ],
    "source": [
-    "p=plot_clustered_stacked([df1, df2],[\"NN\", \"Manual\"],title=None,figsize=(10,3),H=None)\n",
+    "p=plot_clustered_stacked([df1, df2],[\"NN\", \"Manual IR\"],title=None,figsize=(10,3),H=None, color_dict=color_dict)\n",
     "p.set_ylabel('cumulative area fraction')\n",
     "sns.despine()\n",
     "plt.savefig('./figures/cumulative_area_fraction_ABIvsManual_dailyindividual2h.pdf', bbox_inches='tight')"
@@ -2475,7 +1138,8 @@
     }
    ],
    "source": [
-    "p=plot_clustered_stacked([df3, df2, df1, df4],[\"Manual VIS\", \"Manual IR\", \"NN\", \"Manual ICON\"],title=None,figsize=(12,3),H=None)\n",
+    "p=plot_clustered_stacked([df3, df2, df1, df4],[\"Manual VIS\", \"Manual IR\", \"NN\", \"Manual ICON\"],\n",
+    "                         title=None,figsize=(12,3),H=None, color_dict=color_dict)\n",
     "p.set_ylabel('cumulative area fraction')\n",
     "sns.despine()\n",
     "plt.savefig('./figures/cumulative_area_fraction_ManualVISvsManualIRvsNNvsICON_dailyindividual2h.pdf', bbox_inches='tight')"
@@ -2500,7 +1164,8 @@
     }
    ],
    "source": [
-    "p=plot_clustered_stacked([df2, df4],[\"Manual IR\", \"Manual ICON\"],title=None,figsize=(12,3),H=None)\n",
+    "p=plot_clustered_stacked([df2, df4],[\"Manual IR\", \"Manual ICON\"],\n",
+    "                         title=None,figsize=(12,3),H=None, color_dict=color_dict))\n",
     "p.set_ylabel('cumulative area fraction')\n",
     "sns.despine()\n",
     "# plt.savefig('./figures/cumulative_area_fraction_ManualVISvsManualIRvsNNvsICON_dailyindividual2h.pdf', bbox_inches='tight')"
@@ -2515,383 +1180,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "<style scoped>\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Sugar_area_fraction_ABI</th>\n",
-       "      <th>Sugar_area_fraction_Manual</th>\n",
-       "      <th>Sugar_iou_ABI_Manual</th>\n",
-       "      <th>Sugar_missing_ABI_Manual</th>\n",
-       "      <th>Gravel_area_fraction_ABI</th>\n",
-       "      <th>Gravel_area_fraction_Manual</th>\n",
-       "      <th>Gravel_iou_ABI_Manual</th>\n",
-       "      <th>Gravel_missing_ABI_Manual</th>\n",
-       "      <th>Flowers_area_fraction_ABI</th>\n",
-       "      <th>Flowers_area_fraction_Manual</th>\n",
-       "      <th>Flowers_iou_ABI_Manual</th>\n",
-       "      <th>Flowers_missing_ABI_Manual</th>\n",
-       "      <th>Fish_area_fraction_ABI</th>\n",
-       "      <th>Fish_area_fraction_Manual</th>\n",
-       "      <th>Fish_iou_ABI_Manual</th>\n",
-       "      <th>Fish_missing_ABI_Manual</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
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-       "      <td>0.116885</td>\n",
-       "      <td>0.149063</td>\n",
-       "      <td>0.0</td>\n",
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-       "      <td>0.000000</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>3.0</td>\n",
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-       "      <th>2020-01-07 08:00:00</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>NaN</td>\n",
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-       "      <td>0.461606</td>\n",
-       "      <td>0.576456</td>\n",
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-       "      <td>0.0</td>\n",
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-       "      <td>0.000000</td>\n",
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-       "      <th>2020-01-07 10:00:00</th>\n",
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-       "      <td>0.817747</td>\n",
-       "      <td>0.065664</td>\n",
-       "      <td>0.080299</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.783265</td>\n",
-       "      <td>0.0</td>\n",
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-       "      <td>0.000000</td>\n",
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-       "      <th>2020-02-21 16:00:00</th>\n",
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-       "      <td>0.000000</td>\n",
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-       "      <td>0.669024</td>\n",
-       "      <td>0.683917</td>\n",
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-       "      <td>0.281888</td>\n",
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-       "    <tr>\n",
-       "      <th>2020-02-21 18:00:00</th>\n",
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-       "      <td>3.0</td>\n",
-       "      <td>0.152716</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-02-21 20:00:00</th>\n",
-       "      <td>0.445314</td>\n",
-       "      <td>0.273215</td>\n",
-       "      <td>0.173091</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.388713</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.0</td>\n",
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-       "      <td>0.000000</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.299123</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-02-21 22:00:00</th>\n",
-       "      <td>0.558688</td>\n",
-       "      <td>0.497605</td>\n",
-       "      <td>0.510602</td>\n",
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-       "      <td>0.287390</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.0</td>\n",
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-       "      <td>3.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.658064</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-02-22 00:00:00</th>\n",
-       "      <td>0.548682</td>\n",
-       "      <td>0.299228</td>\n",
-       "      <td>0.383417</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.338272</td>\n",
-       "      <td>0.095012</td>\n",
-       "      <td>0.280875</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
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-       "      <td>NaN</td>\n",
-       "      <td>3.0</td>\n",
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-       "      <td>0.342138</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>548 rows × 16 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                     Sugar_area_fraction_ABI  Sugar_area_fraction_Manual  \\\n",
-       "2020-01-07 02:00:00                 0.000000                    0.122568   \n",
-       "2020-01-07 04:00:00                 0.000000                    0.044850   \n",
-       "2020-01-07 06:00:00                 0.000000                    0.000000   \n",
-       "2020-01-07 08:00:00                 0.000000                    0.000000   \n",
-       "2020-01-07 10:00:00                 0.000000                    0.000000   \n",
-       "...                                      ...                         ...   \n",
-       "2020-02-21 16:00:00                 0.000000                    0.255902   \n",
-       "2020-02-21 18:00:00                 0.473880                    0.000000   \n",
-       "2020-02-21 20:00:00                 0.445314                    0.273215   \n",
-       "2020-02-21 22:00:00                 0.558688                    0.497605   \n",
-       "2020-02-22 00:00:00                 0.548682                    0.299228   \n",
-       "\n",
-       "                     Sugar_iou_ABI_Manual  Sugar_missing_ABI_Manual  \\\n",
-       "2020-01-07 02:00:00              0.000000                       1.0   \n",
-       "2020-01-07 04:00:00              0.000000                       1.0   \n",
-       "2020-01-07 06:00:00                   NaN                       3.0   \n",
-       "2020-01-07 08:00:00                   NaN                       3.0   \n",
-       "2020-01-07 10:00:00                   NaN                       3.0   \n",
-       "...                                   ...                       ...   \n",
-       "2020-02-21 16:00:00              0.000000                       1.0   \n",
-       "2020-02-21 18:00:00              0.000000                       2.0   \n",
-       "2020-02-21 20:00:00              0.173091                       0.0   \n",
-       "2020-02-21 22:00:00              0.510602                       0.0   \n",
-       "2020-02-22 00:00:00              0.383417                       0.0   \n",
-       "\n",
-       "                     Gravel_area_fraction_ABI  Gravel_area_fraction_Manual  \\\n",
-       "2020-01-07 02:00:00                  0.826560                     0.337125   \n",
-       "2020-01-07 04:00:00                  0.900000                     0.712167   \n",
-       "2020-01-07 06:00:00                  0.784131                     0.116885   \n",
-       "2020-01-07 08:00:00                  0.800765                     0.461606   \n",
-       "2020-01-07 10:00:00                  0.817747                     0.065664   \n",
-       "...                                       ...                          ...   \n",
-       "2020-02-21 16:00:00                  0.472397                     0.669024   \n",
-       "2020-02-21 18:00:00                  0.460902                     0.000000   \n",
-       "2020-02-21 20:00:00                  0.000000                     0.388713   \n",
-       "2020-02-21 22:00:00                  0.000000                     0.287390   \n",
-       "2020-02-22 00:00:00                  0.338272                     0.095012   \n",
-       "\n",
-       "                     Gravel_iou_ABI_Manual  Gravel_missing_ABI_Manual  \\\n",
-       "2020-01-07 02:00:00               0.399939                        0.0   \n",
-       "2020-01-07 04:00:00               0.791297                        0.0   \n",
-       "2020-01-07 06:00:00               0.149063                        0.0   \n",
-       "2020-01-07 08:00:00               0.576456                        0.0   \n",
-       "2020-01-07 10:00:00               0.080299                        0.0   \n",
-       "...                                    ...                        ...   \n",
-       "2020-02-21 16:00:00               0.683917                        0.0   \n",
-       "2020-02-21 18:00:00               0.000000                        2.0   \n",
-       "2020-02-21 20:00:00               0.000000                        1.0   \n",
-       "2020-02-21 22:00:00               0.000000                        1.0   \n",
-       "2020-02-22 00:00:00               0.280875                        0.0   \n",
-       "\n",
-       "                     Flowers_area_fraction_ABI  Flowers_area_fraction_Manual  \\\n",
-       "2020-01-07 02:00:00                        0.0                      0.000000   \n",
-       "2020-01-07 04:00:00                        0.0                      0.000000   \n",
-       "2020-01-07 06:00:00                        0.0                      0.000000   \n",
-       "2020-01-07 08:00:00                        0.0                      0.804579   \n",
-       "2020-01-07 10:00:00                        0.0                      0.783265   \n",
-       "...                                        ...                           ...   \n",
-       "2020-02-21 16:00:00                        0.0                      0.000000   \n",
-       "2020-02-21 18:00:00                        0.0                      0.000000   \n",
-       "2020-02-21 20:00:00                        0.0                      0.000000   \n",
-       "2020-02-21 22:00:00                        0.0                      0.000000   \n",
-       "2020-02-22 00:00:00                        0.0                      0.000000   \n",
-       "\n",
-       "                     Flowers_iou_ABI_Manual  Flowers_missing_ABI_Manual  \\\n",
-       "2020-01-07 02:00:00                     NaN                         3.0   \n",
-       "2020-01-07 04:00:00                     NaN                         3.0   \n",
-       "2020-01-07 06:00:00                     NaN                         3.0   \n",
-       "2020-01-07 08:00:00                     0.0                         1.0   \n",
-       "2020-01-07 10:00:00                     0.0                         1.0   \n",
-       "...                                     ...                         ...   \n",
-       "2020-02-21 16:00:00                     NaN                         3.0   \n",
-       "2020-02-21 18:00:00                     NaN                         3.0   \n",
-       "2020-02-21 20:00:00                     NaN                         3.0   \n",
-       "2020-02-21 22:00:00                     NaN                         3.0   \n",
-       "2020-02-22 00:00:00                     NaN                         3.0   \n",
-       "\n",
-       "                     Fish_area_fraction_ABI  Fish_area_fraction_Manual  \\\n",
-       "2020-01-07 02:00:00                0.000000                   0.000000   \n",
-       "2020-01-07 04:00:00                0.000000                   0.481328   \n",
-       "2020-01-07 06:00:00                0.000000                   0.000000   \n",
-       "2020-01-07 08:00:00                0.000000                   0.000000   \n",
-       "2020-01-07 10:00:00                0.000000                   0.000000   \n",
-       "...                                     ...                        ...   \n",
-       "2020-02-21 16:00:00                0.281888                   0.000000   \n",
-       "2020-02-21 18:00:00                0.152716                   0.000000   \n",
-       "2020-02-21 20:00:00                0.000000                   0.299123   \n",
-       "2020-02-21 22:00:00                0.000000                   0.658064   \n",
-       "2020-02-22 00:00:00                0.000000                   0.342138   \n",
-       "\n",
-       "                     Fish_iou_ABI_Manual  Fish_missing_ABI_Manual  \n",
-       "2020-01-07 02:00:00                  NaN                      3.0  \n",
-       "2020-01-07 04:00:00                  0.0                      1.0  \n",
-       "2020-01-07 06:00:00                  NaN                      3.0  \n",
-       "2020-01-07 08:00:00                  NaN                      3.0  \n",
-       "2020-01-07 10:00:00                  NaN                      3.0  \n",
-       "...                                  ...                      ...  \n",
-       "2020-02-21 16:00:00                  0.0                      2.0  \n",
-       "2020-02-21 18:00:00                  0.0                      2.0  \n",
-       "2020-02-21 20:00:00                  0.0                      1.0  \n",
-       "2020-02-21 22:00:00                  0.0                      1.0  \n",
-       "2020-02-22 00:00:00                  0.0                      1.0  \n",
-       "\n",
-       "[548 rows x 16 columns]"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_all"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
@@ -2909,7 +1198,7 @@
    ],
    "source": [
     "prop_dict = {\n",
-    "    \"ABI_Manual\":{\n",
+    "    \"ABI_manualIR\":{\n",
     "        'colors': ['grey','red' , 'orange', 'green'],\n",
     "        'title': 'ABI$_{IR}$ vs. Manual$_{IR}$'},\n",
     "    \"MVIS_AIR\":{\n",
@@ -2923,7 +1212,7 @@
     "\n",
     "relative = True\n",
     "fig,axs = plt.subplots(1,2,figsize=(8.4,2),dpi=150,sharey=True)\n",
-    "for cc, classification_comparison in enumerate([\"ABI_Manual\"]):\n",
+    "for cc, classification_comparison in enumerate([\"ABI_manualIR\"]):\n",
     "    colors = prop_dict[classification_comparison]['colors']\n",
     "    means = {}\n",
     "    for p, pattern in enumerate(['Sugar','Gravel','Flowers','Fish']):\n",
@@ -2965,29 +1254,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import datetime as dt\n",
-    "import numpy as np\n",
-    "from matplotlib.patches import Circle, Wedge, Polygon\n",
-    "from matplotlib.collections import PatchCollection\n",
-    "import matplotlib.pyplot as plt"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fn_iorg = '/work/mh0010/m300408/EUREC4A_CloudClassification/metrics/GOES16_IR_nc_Iorg_EUREC4A_10-20_-58--48.nc'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 46,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2996,7 +1263,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 47,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3005,7 +1272,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3015,7 +1282,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3025,39 +1292,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x2b42261eb490>]"
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.plot(ds_iorg_mean.cluster_size_mean, ds_iorg_mean.Iorg,'.')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [
     {
@@ -3107,12 +1342,12 @@
     "plt.xlabel('mean cluster size')\n",
     "plt.ylabel('I$_{org}$')\n",
     "sns.despine(offset=5)\n",
-    "plt.savefig('./figures/Iorg_vs_S_hueManualClassifications.pdf', bbox_inches=\"tight\")"
+    "# plt.savefig('./figures/Iorg_vs_S_hueManualClassifications.pdf', bbox_inches=\"tight\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
@@ -3156,15 +1391,8 @@
     "plt.xlabel('mean cluster size')\n",
     "plt.ylabel('I$_{org}$')\n",
     "sns.despine(offset=5)\n",
-    "plt.savefig('./figures/Iorg_vs_S_hueNN.pdf', bbox_inches=\"tight\")"
+    "# plt.savefig('./figures/Iorg_vs_S_hueNN.pdf', bbox_inches=\"tight\")"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/notebooks/helpers.py b/notebooks/helpers.py
new file mode 100644
index 0000000..04218c1
--- /dev/null
+++ b/notebooks/helpers.py
@@ -0,0 +1,159 @@
+"""
+Helper functions for Agreement_manual_NN.ipynb
+"""
+import pandas as pd
+import matplotlib.cm as cm
+import numpy as np
+import matplotlib.pyplot as plt
+import datetime as dt
+
+def iou_one_class_from_annos(arr1, arr2, return_iou=False):
+    """
+    Returns the IoU from lists of [x, y, w, h] annotations.
+    Image size must be given because arrays are created internally.
+    If return_iou is True, the actual IoU score is computed,
+    otherwise i, u will be returned.
+    
+    >>> iou_one_class_from_annos([False,True],[False,False],return_iou=True)
+    0.0
+    >>> iou_one_class_from_annos([False,True],[True,False],return_iou=True)
+    0.0
+    >>> iou_one_class_from_annos([False,True],[True,True],return_iou=True)
+    0.5
+    >>> iou_one_class_from_annos([False,False],[False,False],return_iou=True)
+    np.nan
+    
+    """
+    i = intersect_from_arrs(arr1, arr2)
+    u = union_from_arrs(arr1, arr2)
+    if return_iou:
+        if u > 0:
+            return i/u
+        # only exists in one of the inputs
+        elif u == 0 and np.any([arr1, arr2]):
+            return 0
+        # no identifications in any input
+        else:
+            return np.nan
+    else:
+        return i, u
+
+
+def intersect_from_arrs(arr1, arr2):
+    """Applies bitwise_and followed by a sum. Note that the sum operation is expensive."""
+    return np.count_nonzero(np.bitwise_and(arr1, arr2))
+
+
+def union_from_arrs(arr1, arr2):
+    """Applies bitwise_or followed by a sum. Note that the sum operation is expensive."""
+    return np.count_nonzero(np.bitwise_or(arr1, arr2))
+
+
+def get_date_from_filename(fn):
+    fn_parts = fn.split('/')
+    try:
+        date = dt.datetime.strptime(fn_parts[-1].split('_')[4], 'Day%Y%m%d')
+    except ValueError:
+        date = dt.datetime.strptime(fn_parts[-1].split('_')[-3], 'TrueColor%Y%m%d')
+    return date
+
+
+def create_mask(boxes, labels, out, label_map={'Sugar':0, 'Fish': 3, 'Flower': 2, 'Gravel': 1}):
+    """
+    Create or add mask to array
+    """
+    xy_boxes = [wh2xy(*b) for b in boxes]
+    
+    for l, lab in enumerate(labels):
+        mask_layer = label_map[lab]
+        x1,y1,x2,y2 = np.array(xy_boxes[l]).astype(int)
+        out[x1:x2,y1:y2,mask_layer] = True
+    
+    return out
+
+
+def interSection(arr1,arr2): # finding common elements
+    values = list(filter(lambda x: x in arr1, arr2))
+    return values
+
+
+def merge_mask(mask):
+    """Merge mask along time dimension (has to be first dimension)
+    """
+    return np.any(~np.isnan(mask.astype("float")), axis=0)
+
+
+def identify_where_class_missing(arr1,arr2):
+    """
+    Identify which input array does not contain
+    any labels.
+    >>> identify_where_class_missing([[True, False],[True, False]],[[False, False],[False, False]])
+    2
+    >>> identify_where_class_missing([False],[True])
+    1
+    >>> identify_where_class_missing([False],[False])
+    3
+    >>> identify_where_class_missing([True],[True])
+    0
+    """
+    missing_arr1 = not np.any(arr1)
+    missing_arr2 = not np.any(arr2)
+    if not missing_arr1 and not missing_arr2:
+        return 0
+    elif missing_arr1 and not missing_arr2:
+        return 1
+    elif missing_arr2 and not missing_arr1:
+        return 2
+    elif missing_arr1 and missing_arr2:
+        return 3
+    
+
+def plot_clustered_stacked(dfall, labels=None, title="multiple stacked bar plot",  H="/", color_dict={None}, **kwargs):
+    """Given a list of dataframes, with identical columns and index, create a clustered stacked bar plot. 
+labels is a list of the names of the dataframe, used for the legend
+title is a string for the title of the plot
+H is the hatch used for identification of the different dataframe"""
+
+    n_df = len(dfall)
+    n_col = len(dfall[0].columns) 
+    n_ind = len(dfall[0].index)
+    axe = plt.subplot(111)
+
+    for df in dfall : # for each data frame
+        axe = df.plot(kind="bar",
+                      linewidth=0,
+                      stacked=True,
+                      ax=axe,
+                      legend=False,
+                      grid=False,
+                      color=color_dict,
+                      **kwargs)  # make bar plots
+
+    h,l = axe.get_legend_handles_labels() # get the handles we want to modify
+    for i in range(0, n_df * n_col, n_col): # len(h) = n_col * n_df
+        for j, pa in enumerate(h[i:i+n_col]):
+            for rect in pa.patches: # for each index
+                rect.set_x(rect.get_x() + 1 / float(n_df + 1) * i / float(n_col))
+                if H is not None:
+                    rect.set_hatch(H * int(i / n_col)) #edited part
+                rect.set_edgecolor('white')
+                rect.set_width(1 / float(n_df + 1))
+
+    axe.set_xticks(((np.arange(0, 2 * n_ind, 2) + 1 / float(n_df + 1)) / 2.)[::2])
+    axe.set_xticks(((np.arange(0, 2 * n_ind, 2) + 1 / float(n_df + 1)) / 2.), minor=True)
+    axe.set_xticklabels(df.index.date[::2], rotation = 90)
+    axe.set_title(title)
+
+    # Add invisible data to add another legend
+    n=[]        
+    for i in range(n_df):
+        if H is None:
+            n.append(axe.bar(0, 0, color="gray", edgecolor='white'))
+        else:
+            n.append(axe.bar(0, 0, color="gray", hatch=H * int(i), edgecolor='white'))
+
+    l1 = axe.legend(h[:n_col], l[:n_col], loc=[1.01, 0.5])
+    if labels is not None:
+        l2 = plt.legend(n, labels, loc=[1.01, 0.1]) 
+    axe.add_artist(l1)
+    return axe
\ No newline at end of file

From 236660638f7fa36fa5c8e71d684e0bc778a81772 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Thu, 18 Nov 2021 14:02:30 +0100
Subject: [PATCH 10/34] \ argparser for selecting classification

---
 scripts/create_level2.py | 24 ++++++++++++++++++++++--
 1 file changed, 22 insertions(+), 2 deletions(-)

diff --git a/scripts/create_level2.py b/scripts/create_level2.py
index 1afc70c..85c46c5 100644
--- a/scripts/create_level2.py
+++ b/scripts/create_level2.py
@@ -11,9 +11,28 @@
 
 import sys
 from omegaconf import OmegaConf as oc
+import argparse
+
+def get_args():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument('-c', '--configfile', help='Config file containing settings and paths for conversion', required=False, default='config.yaml')
+    parser.add_argument('-e', '--classification', help="Choose which classification of those described in the configfile should be used",
+                        required=True, default=None)
+
+    parser.add_argument('-v', '--verbose', metavar="DEBUG",
+                        help='Set the level of verbosity [DEBUG, INFO, WARNING, ERROR]',
+                        required=False, default="INFO")
+
+    args = vars(parser.parse_args())
+
+    return args
+
+
+args = get_args()
+
 
 # Load config
-conf = oc.load('config.yaml')
+conf = oc.load(args['configfile'])
 # Path to pycloud folder (https://github.com/raspstephan/sugar-flower-fish-or-gravel/tree/master/pyclouds)
 sys.path.append(conf.env.pyclouds)
 
@@ -36,7 +55,8 @@
 
 g.setup_logging('INFO')
 
-classification = 'EUREC4A'
+classification = args['classification']
+
 
 # Level1 filename
 level1_file = conf[classification].level1.fn_netcdf

From 1cdd30183063ca67e675f31892d064dd7fea07f6 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Thu, 18 Nov 2021 14:03:02 +0100
Subject: [PATCH 11/34] \ Remove comments

---
 scripts/create_level2.py | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/scripts/create_level2.py b/scripts/create_level2.py
index 85c46c5..3ac083f 100644
--- a/scripts/create_level2.py
+++ b/scripts/create_level2.py
@@ -101,10 +101,6 @@ def get_args():
                         dtype=str, compressor=zarr.Zlib(level=1))
 
 
-# z_arr = zarr.convenience.open(level2_file, mode='a',
-#               shape=(len(np.unique(df_l1.classification_id)), 2200, 1500, 4),
-#               chunks=(1, 2200, 1500, 4), dtype=bool)
-
 for b, box in enumerate(tqdm.tqdm(boxes_arr)):
     mask[b,:,:,:] = most_common_boxes(box,return_all_pattern=True,imag_dim=(nb_lons,nb_lats))
     

From f3559ea6874d375b9a711a5e2a9f7e5c369f503c Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Thu, 18 Nov 2021 14:03:42 +0100
Subject: [PATCH 12/34] \ WIP: level2 compression

---
 scripts/create_level2.py | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/scripts/create_level2.py b/scripts/create_level2.py
index 3ac083f..ec81077 100644
--- a/scripts/create_level2.py
+++ b/scripts/create_level2.py
@@ -49,6 +49,7 @@ def get_args():
 import dask.array as da
 import xarray as xr
 import zarr
+from numcodecs import Blosc
 from pyclouds import *
 import general_helpers as g
 from helpers import *
@@ -89,16 +90,16 @@ def get_args():
 store = zarr.DirectoryStore(level2_file)
 root_grp = zarr.group(store, overwrite=True)
 mask = root_grp.create_dataset('mask', shape=(nb_classifications, nb_lons, nb_lats, nb_patterns),
-                               chunks=(1, nb_lons, nb_lats, nb_patterns),
-                               dtype=bool, compressor=zarr.Zlib(level=1))
+                               chunks=(10, 100, 100, 4),
+                               dtype="bool", encoding={"_FillValue":False}, compressor=Blosc(blocksize=0,clevel=9,cname="zstd",shuffle=Blosc.BITSHUFFLE))
 clas_ids = root_grp.create_dataset('classification_id', shape=(nb_classifications), chunks=(nb_classifications),
-                        dtype=int, compressor=zarr.Zlib(level=1))
+                        dtype="i4")
 lats = root_grp.create_dataset('latitude', shape=(nb_lats), chunks=(nb_lats),
-                        dtype=float, compressor=zarr.Zlib(level=1))
+                        dtype="f4")
 lons = root_grp.create_dataset('longitude', shape=(nb_lons), chunks=(nb_lons),
-                        dtype=float, compressor=zarr.Zlib(level=1))
+                        dtype="f4")
 patterns = root_grp.create_dataset('pattern', shape=(nb_patterns), chunks=(nb_patterns),
-                        dtype=str, compressor=zarr.Zlib(level=1))
+                        dtype=str)
 
 
 for b, box in enumerate(tqdm.tqdm(boxes_arr)):

From 030a59b4d1801d081e69b71374a225d25f6a6fc6 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Thu, 18 Nov 2021 14:46:45 +0100
Subject: [PATCH 13/34] \ change from mask array to flag array

---
 scripts/create_level2.py | 17 ++++++++---------
 1 file changed, 8 insertions(+), 9 deletions(-)

diff --git a/scripts/create_level2.py b/scripts/create_level2.py
index ec81077..55f5b8b 100644
--- a/scripts/create_level2.py
+++ b/scripts/create_level2.py
@@ -89,31 +89,31 @@ def get_args():
 logging.info('Level2 data creation started')
 store = zarr.DirectoryStore(level2_file)
 root_grp = zarr.group(store, overwrite=True)
-mask = root_grp.create_dataset('mask', shape=(nb_classifications, nb_lons, nb_lats, nb_patterns),
-                               chunks=(10, 100, 100, 4),
-                               dtype="bool", encoding={"_FillValue":False}, compressor=Blosc(blocksize=0,clevel=9,cname="zstd",shuffle=Blosc.BITSHUFFLE))
+mask = root_grp.create_dataset('mask', shape=(nb_classifications, nb_lons, nb_lats),
+                               chunks=(10, 1000, 1000),
+                               dtype="|i1", compressor=Blosc(blocksize=0,clevel=9,cname="zstd",shuffle=Blosc.BITSHUFFLE))
 clas_ids = root_grp.create_dataset('classification_id', shape=(nb_classifications), chunks=(nb_classifications),
                         dtype="i4")
 lats = root_grp.create_dataset('latitude', shape=(nb_lats), chunks=(nb_lats),
                         dtype="f4")
 lons = root_grp.create_dataset('longitude', shape=(nb_lons), chunks=(nb_lons),
                         dtype="f4")
-patterns = root_grp.create_dataset('pattern', shape=(nb_patterns), chunks=(nb_patterns),
-                        dtype=str)
 
 
 for b, box in enumerate(tqdm.tqdm(boxes_arr)):
-    mask[b,:,:,:] = most_common_boxes(box,return_all_pattern=True,imag_dim=(nb_lons,nb_lats))
-    
+    mask_ = most_common_boxes(box,return_all_pattern=True,imag_dim=(nb_lons,nb_lats)).astype(int)*np.array([1,2,4,8])
+    mask[b,:,:] = np.sum(mask_,axis=-1)
+
 clas_ids[:] = np.unique(df_l1.classification_id)
 lons[:] = np.linspace(-62,-40,nb_lons)
 lats[:] = np.linspace(20,5,nb_lats)
-patterns[:] = ['Sugar', 'Flowers', 'Fish', 'Gravel']
 
 # Add attributes to file
 # Variable attributes
 mask.attrs['_ARRAY_DIMENSIONS'] = ('classification_id', 'longitude', 'latitude', 'pattern')
 mask.attrs['description'] = 'classification mask for every single pattern and classification_id'
+mask.attrs['flag_masks'] = [1,2,4,8]
+mask.attrs['flag_meanings'] = ['Sugar', 'Flowers', 'Fish', 'Gravel']
 lons.attrs['_ARRAY_DIMENSIONS'] = ('longitude')
 lons.attrs['standard_name'] = 'longitude'
 lons.attrs['units'] = 'degree_east'
@@ -122,7 +122,6 @@ def get_args():
 lats.attrs['units'] = 'degree_north'
 clas_ids.attrs['_ARRAY_DIMENSIONS'] = ('classification_id')
 clas_ids.attrs['description'] = 'classification id (basically each sighting of an image has a unique id)'
-patterns.attrs['_ARRAY_DIMENSIONS'] = ('pattern')
 
 # Global attributes
 root_grp.attrs['title'] = 'EUREC4A: manual meso-scale cloud pattern classifications'

From 00209b2cf89bc4469fa690f295f7ddc4d3fba5d2 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Thu, 18 Nov 2021 16:11:56 +0100
Subject: [PATCH 14/34] \ add parser to create_level3.py for settings

---
 scripts/create_level3.py | 22 ++++++++++++++++++++--
 1 file changed, 20 insertions(+), 2 deletions(-)

diff --git a/scripts/create_level3.py b/scripts/create_level3.py
index ef0823d..483daa1 100644
--- a/scripts/create_level3.py
+++ b/scripts/create_level3.py
@@ -17,10 +17,28 @@
          }
 
 import sys
+import argparse
+
+def get_args():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument('-c', '--configfile', help='Config file containing settings and paths for conversion', required=False, default='config.yaml')
+    parser.add_argument('-e', '--classification', help="Choose which classification of those described in the configfile should be used",
+                        required=True, default=None)
+
+    parser.add_argument('-v', '--verbose', metavar="DEBUG",
+                        help='Set the level of verbosity [DEBUG, INFO, WARNING, ERROR]',
+                        required=False, default="INFO")
+
+    args = vars(parser.parse_args())
+
+    return args
+
+
+args = get_args()
 
 # Load config
 from omegaconf import OmegaConf as oc
-conf = oc.load('config.yaml')
+conf = oc.load(args['configfile'])
 # Path to pycloud folder (https://github.com/raspstephan/sugar-flower-fish-or-gravel/tree/master/pyclouds)
 sys.path.append(conf.env.pyclouds)
 
@@ -42,7 +60,7 @@
 
 g.setup_logging('INFO')
 
-classification = 'EUREC4A'
+classification = args['classification']
 
 # Level1 filename
 level1_file = conf[classification].level1.fn_netcdf

From 1c7bcb432abc0a28fb690f1d2e12f85c55e88380 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Thu, 18 Nov 2021 16:12:34 +0100
Subject: [PATCH 15/34] \ make verbosity using parsers settings

---
 scripts/create_level2.py | 2 +-
 scripts/create_level3.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/scripts/create_level2.py b/scripts/create_level2.py
index ec81077..c4fbc19 100644
--- a/scripts/create_level2.py
+++ b/scripts/create_level2.py
@@ -54,7 +54,7 @@ def get_args():
 import general_helpers as g
 from helpers import *
 
-g.setup_logging('INFO')
+g.setup_logging(args['verbose'])
 
 classification = args['classification']
 
diff --git a/scripts/create_level3.py b/scripts/create_level3.py
index 483daa1..3f543fc 100644
--- a/scripts/create_level3.py
+++ b/scripts/create_level3.py
@@ -58,7 +58,7 @@ def get_args():
 import general_helpers as g
 from helpers import *
 
-g.setup_logging('INFO')
+g.setup_logging(args['verbose'])
 
 classification = args['classification']
 

From bd6af5237d5423395366e8849f8fceb3ffb7cd85 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Thu, 18 Nov 2021 16:13:02 +0100
Subject: [PATCH 16/34] \ level 2 chunking

---
 scripts/create_level2.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/create_level2.py b/scripts/create_level2.py
index c4fbc19..cc8ea40 100644
--- a/scripts/create_level2.py
+++ b/scripts/create_level2.py
@@ -90,7 +90,7 @@ def get_args():
 store = zarr.DirectoryStore(level2_file)
 root_grp = zarr.group(store, overwrite=True)
 mask = root_grp.create_dataset('mask', shape=(nb_classifications, nb_lons, nb_lats, nb_patterns),
-                               chunks=(10, 100, 100, 4),
+                               chunks=(10, 1100, 750, 4),
                                dtype="bool", encoding={"_FillValue":False}, compressor=Blosc(blocksize=0,clevel=9,cname="zstd",shuffle=Blosc.BITSHUFFLE))
 clas_ids = root_grp.create_dataset('classification_id', shape=(nb_classifications), chunks=(nb_classifications),
                         dtype="i4")

From 535056baa545cb76b8ec9ea51015030691278a12 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Mon, 22 Nov 2021 19:23:03 +0100
Subject: [PATCH 17/34] \ Change chunking and compression

---
 scripts/create_level3.py | 20 +++++++++++++++-----
 1 file changed, 15 insertions(+), 5 deletions(-)

diff --git a/scripts/create_level3.py b/scripts/create_level3.py
index 3f543fc..49cd91f 100644
--- a/scripts/create_level3.py
+++ b/scripts/create_level3.py
@@ -54,6 +54,7 @@ def get_args():
 import dask.array as da
 import xarray as xr
 import zarr
+from numcodecs import Blosc, Delta
 from pyclouds import *
 import general_helpers as g
 from helpers import *
@@ -113,6 +114,14 @@ def get_args():
 nb_patterns = len(da_arr.pattern)
 nb_dates = len(df_l1.groupby(df_l1['date']))
 
+def compute_scale_and_offset(min, max, n):
+    # stretch/compress data to the available packed range
+    scale_factor = (max - min) / (2 ** n - 1)
+    # translate the range to be symmetric about zero
+    add_offset = min + 2 ** (n - 1) * scale_factor
+    return (scale_factor, add_offset)
+scale_factor, add_offset = compute_scale_and_offset(0,1,8) 
+
 for combo, combo_details in combos.items():
     workflow = combo_details['workflow']
     instrument = combo_details['instrument']
@@ -122,12 +131,12 @@ def get_args():
     store = zarr.DirectoryStore(level3_file.format(workflow=combo))
     root_grp = zarr.group(store, overwrite=True)
     freq = root_grp.create_dataset('freq', shape=(nb_dates, nb_lons, nb_lats, nb_patterns),
-                                   chunks=(1, nb_lons, nb_lats, nb_patterns),
-                                   dtype=float, compressor=zarr.Zlib(level=1))
+                                   chunks=(1, nb_lons//2, nb_lats//2, nb_patterns),
+                                   dtype="i4",fill_value=0,compressor=Blosc(cname='zstd', clevel=1, shuffle=Blosc.SHUFFLE))
     dates = root_grp.create_dataset('date', shape=(nb_dates), chunks=(nb_dates),
                             dtype=int, compressor=zarr.Zlib(level=1))
     nb_user = root_grp.create_dataset('nb_users', shape=(nb_dates), chunks=(nb_dates),
-                            dtype=int, compressor=zarr.Zlib(level=1))
+                            dtype="i4", fill_value=0)
     lats = root_grp.create_dataset('latitude', shape=(nb_lats), chunks=(nb_lats),
                             dtype=float, compressor=zarr.Zlib(level=1))
     lons = root_grp.create_dataset('longitude', shape=(nb_lons), chunks=(nb_lons),
@@ -152,8 +161,8 @@ def get_args():
             user_arr = np.where(user_arr>0, True, False)
             date_arr[u, :,:,:] = user_arr
         nb_user[d] = len(np.unique(date_df_sel.user_name))
-        freq[d,:,:,:] = np.sum(date_arr[:,:,:,:], axis=0)/nb_user[d]
-
+#        freq[d,:,:,:] = np.floor((np.sum(date_arr[:,:,:,:], axis=0)/nb_user[d])/scale_factor)
+        freq[d,:,:,:] = np.nan_to_num(np.round((np.sum(date_arr[:,:,:,:], axis=0)/nb_user[d])*10000,0))
     for d, (date, date_df) in enumerate(df_l1.groupby(df_l1['date'])):
         dates[d] = (date-dt.datetime(1970,1,1)).total_seconds()
     lons[:] = da_arr.longitude.values  # np.linspace(-62,-40,nb_lons)
@@ -164,6 +173,7 @@ def get_args():
     # Variable attributes
     freq.attrs['_ARRAY_DIMENSIONS'] = ('date', 'longitude', 'latitude', 'pattern')
     freq.attrs['description'] = 'classification frequency for every day'
+#    freq.attrs['scale_factor'] = scale_factor
     lons.attrs['_ARRAY_DIMENSIONS'] = ('longitude')
     lons.attrs['standard_name'] = 'longitude'
     lons.attrs['units'] = 'degree_east'

From 4269260ae2ebde34476b381ed619da3930ff9391 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Mon, 22 Nov 2021 19:23:51 +0100
Subject: [PATCH 18/34] \ Update zenodo dataset creation script

---
 scripts/create_zenodo_datazip.sh | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

diff --git a/scripts/create_zenodo_datazip.sh b/scripts/create_zenodo_datazip.sh
index e28411b..6bd735c 100644
--- a/scripts/create_zenodo_datazip.sh
+++ b/scripts/create_zenodo_datazip.sh
@@ -4,9 +4,7 @@
 python anonymize_data.py
 
 ## Zip data
-zip -r -D ../processed_data/EUREC4A_ManualClassifications_MergedClassifications.zarr.zip ../processed_data/EUREC4A_ManualClassifications_MergedClassifications.zarr
-zip -r -D ../processed_data/EUREC4A_ManualClassifications_l3_IR.zarr.zip ../processed_data/EUREC4A_ManualClassifications_l3_IR.zarr
-zip -r -D ../processed_data/EUREC4A_ManualClassifications_l3_VIS.zarr.zip ../processed_data/EUREC4A_ManualClassifications_l3_VIS.zarr
-zip -r -D ../processed_data/EUREC4A_ManualClassifications_l3_albedo.zarr.zip ../processed_data/EUREC4A_ManualClassifications_l3_albedo.zarr
+cd ../processed_data/
+
+zip -r -D -j ../zenodo/EUREC4A_ManualCloudClassificationData.zip EUREC4A_ManualClassifications_l2.zarr EUREC4A_ManualClassifications_l3_VIS.zarr EUREC4A_ManualClassifications_l3_IR.zarr EUREC4A_ManualClassifications_l3_ICON.zarr EUREC4A_ManualClassifications_l1_anonymized.nc ../zooniverse_raw/sugar-flower-fish-or-gravel-subjects.csv ../zooniverse_raw/sugar-flower-fish-or-gravel-classifications_anonymized.csv
 
-zip -D ../zenodo/EUREC4A_ManualCloudClassificationData.zip ../processed_data/EUREC4A_ManualClassifications_MergedClassifications.zarr.zip ../processed_data/EUREC4A_ManualClassifications_l3_VIS.nc ../processed_data/EUREC4A_ManualClassifications_l3_IR.nc ../processed_data/EUREC4A_ManualClassifications_l3_albedo.nc ../processed_data/EUREC4A_ManualClassifications_l1_anonymized.nc ../zooniverse_raw/sugar-flower-fish-or-gravel-subjects.csv ../zooniverse_raw/sugar-flower-fish-or-gravel-classifications_anonymized.csv

From 04ac6bdb32f66a7cc1aea904dbb6d8b99eb36f59 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Mon, 22 Nov 2021 19:24:36 +0100
Subject: [PATCH 19/34] + Add parsers in reprocess.sh

---
 scripts/reprocess.sh | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/scripts/reprocess.sh b/scripts/reprocess.sh
index 7769421..0b423d1 100644
--- a/scripts/reprocess.sh
+++ b/scripts/reprocess.sh
@@ -20,10 +20,10 @@
 python create_level1.py
 
 # Create level2 file
-python create_level2.py
+python create_level2.py -e EUREC4A
 
 # Create level3 files
-python create_level3.py
+python create_level3.py -e EUREC4A
 
 # Prepare data for zenodo upload
 bash create_zenodo_datazip.sh

From 5bacddfd4c17871acf561885dedbc4b21a6e5d77 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Mon, 22 Nov 2021 19:34:18 +0100
Subject: [PATCH 20/34] + Parser for level1

---
 scripts/create_level1.py | 37 ++++++++++++++++++++++++++++---------
 1 file changed, 28 insertions(+), 9 deletions(-)

diff --git a/scripts/create_level1.py b/scripts/create_level1.py
index 7e03c22..3b7d232 100644
--- a/scripts/create_level1.py
+++ b/scripts/create_level1.py
@@ -10,6 +10,32 @@
 """
 
 import sys
+from omegaconf import OmegaConf as oc
+import argparse
+
+def get_args():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument('-c', '--configfile', help='Config file containing settings and paths for conversion', required=False, default='config.yaml')
+    parser.add_argument('-e', '--classification', help="Choose which classification of those described in the configfile should be used",
+                        required=True, default=None)
+
+    parser.add_argument('-v', '--verbose', metavar="DEBUG",
+                        help='Set the level of verbosity [DEBUG, INFO, WARNING, ERROR]',
+                        required=False, default="INFO")
+
+    args = vars(parser.parse_args())
+
+    return args
+
+
+args = get_args()
+
+
+# Load config
+conf = oc.load(args['configfile'])
+# Path to pycloud folder (https://github.com/raspstephan/sugar-flower-fish-or-gravel/tree/master/pyclouds)
+sys.path.append(conf.env.pyclouds)
+
 sys.path.append("../helpers/")
 
 import os
@@ -17,23 +43,16 @@
 import time
 import tqdm
 import logging
-from omegaconf import OmegaConf as oc
 import numpy as np
 import pandas as pd
 import datetime as dt
 import xarray as xr
-
-# Load config
-conf = oc.load('config.yaml')
-# Path to pycloud folder (https://github.com/raspstephan/sugar-flower-fish-or-gravel/tree/master/pyclouds)
-sys.path.append(conf.env.pyclouds)
-
 import general_helpers as g
 from helpers import *
 
-g.setup_logging('INFO')
+g.setup_logging(args['verbose'])
 
-classification = 'EUREC4A'
+classification = args['classification']
 
 # Path to zooniverse files
 clas_fn = conf[classification].input.classifications_file

From 867abcd7351a796f774105067d1d8b17af83d4bd Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Wed, 24 Nov 2021 13:16:03 +0100
Subject: [PATCH 21/34] + Level 1: create output folder if not existing

---
 scripts/create_level1.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/scripts/create_level1.py b/scripts/create_level1.py
index 3b7d232..0a5ed41 100644
--- a/scripts/create_level1.py
+++ b/scripts/create_level1.py
@@ -207,4 +207,8 @@ def get_args():
 ds_l1['subject_ids'] = ds_l1.subject_ids.astype(int)
 ds_l1['classification_id'] = ds_l1.classification_id.astype(int)
 
+out_dir =  os.path.dirname(level1_file)
+if not os.path.exists(out_dir):
+    logging.info(f"Create output folder {out_dir}")
+    os.makedirs(out_dir)
 ds_l1.to_netcdf(level1_file, encoding=variable_encoding)

From 7041c8d568da9df10a3f39893b475c0b299a90d3 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Wed, 24 Nov 2021 13:17:14 +0100
Subject: [PATCH 22/34] + Level 2: make mask a flag ( remove pattern dimension)

---
 scripts/create_level2.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/scripts/create_level2.py b/scripts/create_level2.py
index 179502a..4e19317 100644
--- a/scripts/create_level2.py
+++ b/scripts/create_level2.py
@@ -89,9 +89,9 @@ def get_args():
 logging.info('Level2 data creation started')
 store = zarr.DirectoryStore(level2_file)
 root_grp = zarr.group(store, overwrite=True)
-mask = root_grp.create_dataset('mask', shape=(nb_classifications, nb_lons, nb_lats, nb_patterns),
-                               chunks=(10, 1100, 750, 4),
-                               dtype="bool", encoding={"_FillValue":False}, compressor=Blosc(blocksize=0,clevel=9,cname="zstd",shuffle=Blosc.BITSHUFFLE))
+mask = root_grp.create_dataset('mask', shape=(nb_classifications, nb_lons, nb_lats),
+                               chunks=(10, 1100, 750),
+                               dtype="i4", compressor=Blosc(blocksize=0,clevel=9,cname="zstd",shuffle=Blosc.BITSHUFFLE))
 clas_ids = root_grp.create_dataset('classification_id', shape=(nb_classifications), chunks=(nb_classifications),
                         dtype="i4")
 lats = root_grp.create_dataset('latitude', shape=(nb_lats), chunks=(nb_lats),
@@ -110,7 +110,7 @@ def get_args():
 
 # Add attributes to file
 # Variable attributes
-mask.attrs['_ARRAY_DIMENSIONS'] = ('classification_id', 'longitude', 'latitude', 'pattern')
+mask.attrs['_ARRAY_DIMENSIONS'] = ('classification_id', 'longitude', 'latitude')
 mask.attrs['description'] = 'classification mask for every single pattern and classification_id'
 mask.attrs['flag_masks'] = [1,2,4,8]
 mask.attrs['flag_meanings'] = ['Sugar', 'Flowers', 'Fish', 'Gravel']

From f390628db39a36f6f5c18fdf661c9d5c0510249b Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Wed, 24 Nov 2021 13:19:37 +0100
Subject: [PATCH 23/34] \ Leverl 3: argument for instant or daily product

---
 scripts/config.yaml      |  2 +-
 scripts/create_level3.py | 39 +++++++++++++++++++++++++++++----------
 2 files changed, 30 insertions(+), 11 deletions(-)

diff --git a/scripts/config.yaml b/scripts/config.yaml
index ce01667..2a9b871 100644
--- a/scripts/config.yaml
+++ b/scripts/config.yaml
@@ -19,7 +19,7 @@ EUREC4A:
     fn_zarr: '../processed_data/EUREC4A_ManualClassifications_l2.zarr'
 
   level3:
-    fn_zarr: '../processed_data/EUREC4A_ManualClassifications_l3_{workflow}.zarr'
+    fn_zarr: '../processed_data/EUREC4A_ManualClassifications_l3_{workflow}_{mode}.zarr'
 
 BAMS:
   input:
diff --git a/scripts/create_level3.py b/scripts/create_level3.py
index 49cd91f..cf51ebf 100644
--- a/scripts/create_level3.py
+++ b/scripts/create_level3.py
@@ -24,7 +24,7 @@ def get_args():
     parser.add_argument('-c', '--configfile', help='Config file containing settings and paths for conversion', required=False, default='config.yaml')
     parser.add_argument('-e', '--classification', help="Choose which classification of those described in the configfile should be used",
                         required=True, default=None)
-
+    parser.add_argument('-m', '--mode', help='Instant or daily frequencies', required=False, default='instant')
     parser.add_argument('-v', '--verbose', metavar="DEBUG",
                         help='Set the level of verbosity [DEBUG, INFO, WARNING, ERROR]',
                         required=False, default="INFO")
@@ -109,10 +109,15 @@ def get_args():
 
 da_arr = ds_l2.mask
 
+if args["mode"] == "instant":
+    dates_groups = df_l1.groupby(df_l1['date'])
+elif args["mode"] == "daily":
+    dates_groups = df_l1.groupby(df_l1['date'].dt.date)
+
 nb_lats = len(da_arr.latitude)
 nb_lons = len(da_arr.longitude)
-nb_patterns = len(da_arr.pattern)
-nb_dates = len(df_l1.groupby(df_l1['date']))
+nb_patterns = 4 #len(da_arr.pattern)
+nb_dates = len(dates_groups)
 
 def compute_scale_and_offset(min, max, n):
     # stretch/compress data to the available packed range
@@ -128,7 +133,7 @@ def compute_scale_and_offset(min, max, n):
     logging.info('Workflow: {}, instrument: {}'.format(workflow, instrument))
 
     logging.info('Level3 data creation started')
-    store = zarr.DirectoryStore(level3_file.format(workflow=combo))
+    store = zarr.DirectoryStore(level3_file.format(workflow=combo, mode=args["mode"]))
     root_grp = zarr.group(store, overwrite=True)
     freq = root_grp.create_dataset('freq', shape=(nb_dates, nb_lons, nb_lats, nb_patterns),
                                    chunks=(1, nb_lons//2, nb_lats//2, nb_patterns),
@@ -144,7 +149,7 @@ def compute_scale_and_offset(min, max, n):
     patterns = root_grp.create_dataset('pattern', shape=(nb_patterns), chunks=(nb_patterns),
                             dtype=str, compressor=zarr.Zlib(level=1))
 
-    for d, (date, date_df) in enumerate(tqdm.tqdm(df_l1.groupby(df_l1['date']))):
+    for d, (date, date_df) in enumerate(tqdm.tqdm(dates_groups)):
         date_arr = np.zeros((len(np.unique(date_df.user_name)),
                              nb_lons,
                              nb_lats,
@@ -157,14 +162,25 @@ def compute_scale_and_offset(min, max, n):
         for u, (user_name, user_df) in enumerate(date_df_sel.groupby('user_name')):
             class_ids = user_df.classification_id
             class_ids = np.unique(class_ids)
-            user_arr = da_arr.sel({'classification_id':class_ids}).sum(axis=0).compute()
-            user_arr = np.where(user_arr>0, True, False)
+            user_arr_ = da_arr.sel({'classification_id':class_ids})
+            user_arr = np.bitwise_and(user_arr_.expand_dims({'pattern':4},3).fillna(0).astype(int).values, np.array([1,2,4,8])[np.newaxis,np.newaxis,np.newaxis,:]).astype('bool')
+
+            user_arr = np.any(user_arr,axis=0)  # along classification_id
+            #user_arr = np.where(user_arr>0, True, False)
+            
             date_arr[u, :,:,:] = user_arr
+
+            #for p in range(4):
+            #    date_arr[u, :,:,p] = user_arr_.where(user_arr_ == 2**p).any(dim='classification_id').compute()
         nb_user[d] = len(np.unique(date_df_sel.user_name))
 #        freq[d,:,:,:] = np.floor((np.sum(date_arr[:,:,:,:], axis=0)/nb_user[d])/scale_factor)
         freq[d,:,:,:] = np.nan_to_num(np.round((np.sum(date_arr[:,:,:,:], axis=0)/nb_user[d])*10000,0))
-    for d, (date, date_df) in enumerate(df_l1.groupby(df_l1['date'])):
-        dates[d] = (date-dt.datetime(1970,1,1)).total_seconds()
+    if args["mode"] == "instant":
+        reference = dt.datetime(1970,1,1)
+    elif args["mode"] == "daily":
+        reference = dt.datetime(1970,1,1).date()
+    for d, (date, date_df) in enumerate(dates_groups):
+        dates[d] = (date-reference).total_seconds()
     lons[:] = da_arr.longitude.values  # np.linspace(-62,-40,nb_lons)
     lats[:] = da_arr.latitude.values  # np.linspace(20,5,nb_lats)
     patterns[:] = ['Sugar', 'Flowers', 'Fish', 'Gravel']
@@ -190,7 +206,10 @@ def compute_scale_and_offset(min, max, n):
 
     # Global attributes
     root_grp.attrs['title'] = 'EUREC4A: manual meso-scale cloud pattern classifications'
-    root_grp.attrs['description'] = 'Level-3: instant classification frequency'
+    if args["mode"] == "instant":
+        root_grp.attrs['description'] = 'Level-3: instant classification frequency'
+    elif args["mode"] == "daily":
+        root_grp.attrs['description'] = 'Level-3: daily classification frequency'
     root_grp.attrs['author'] = 'Hauke Schulz (hauke.schulz@mpimet.mpg.de)'
     root_grp.attrs['institute'] = 'Max Planck Institut für Meteorologie, Germany'
     root_grp.attrs['created_on'] = dt.datetime.now().strftime('%Y-%m-%d %H:%M UTC')

From dc7547f75d13075d0edab46f34444290237cd078 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Wed, 24 Nov 2021 13:21:29 +0100
Subject: [PATCH 24/34] \ Reprocess add experiment flags

---
 scripts/reprocess.sh | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/scripts/reprocess.sh b/scripts/reprocess.sh
index 0b423d1..ccd3d4c 100644
--- a/scripts/reprocess.sh
+++ b/scripts/reprocess.sh
@@ -17,10 +17,10 @@
 # Save download to /zooniverse_raw
 
 # Create level1 file
-python create_level1.py
+#python create_level1.py -e EUREC4A
 
 # Create level2 file
-python create_level2.py -e EUREC4A
+#python create_level2.py -e EUREC4A
 
 # Create level3 files
 python create_level3.py -e EUREC4A

From f978d09a7b71c7b812072d22f8e1f724f85edba7 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Wed, 24 Nov 2021 13:23:30 +0100
Subject: [PATCH 25/34] \ Reprocess: both instant and daily l3 products

---
 scripts/reprocess.sh | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/scripts/reprocess.sh b/scripts/reprocess.sh
index ccd3d4c..053b178 100644
--- a/scripts/reprocess.sh
+++ b/scripts/reprocess.sh
@@ -23,7 +23,8 @@
 #python create_level2.py -e EUREC4A
 
 # Create level3 files
-python create_level3.py -e EUREC4A
+python create_level3.py -e EUREC4A -m instant
+python create_level3.py -e EUREC4A -m daily
 
 # Prepare data for zenodo upload
 bash create_zenodo_datazip.sh

From 24129e51bc9b232b632dea927c1b226b3ddda371 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Wed, 24 Nov 2021 13:23:57 +0100
Subject: [PATCH 26/34] \ Reprocess: mistral compute environment/slurm settings

---
 scripts/reprocess.sh | 13 ++++++++++++-
 1 file changed, 12 insertions(+), 1 deletion(-)

diff --git a/scripts/reprocess.sh b/scripts/reprocess.sh
index 053b178..a7d980e 100644
--- a/scripts/reprocess.sh
+++ b/scripts/reprocess.sh
@@ -1,4 +1,15 @@
 #!/bin/bash
+#SBATCH --account=mh0010
+#SBATCH --job-name=reprocess
+#SBATCH --partition=shared
+#SBATCH --chdir=/work/mh0010/m300408/EUREC4A_CloudClassification/manual/EUREC4A_manualclassifications/scripts/
+#SBATCH --nodes=1
+#SBATCH --output=/work/mh0010/m300408/EUREC4A_CloudClassification/manual/EUREC4A_manualclassifications/scripts/logs/LOG.reprocess.%j.o
+#SBATCH --error=/work/mh0010/m300408/EUREC4A_CloudClassification/manual/EUREC4A_manualclassifications/scripts/logs/LOG.reprocess.%j.o
+#SBATCH --time=12:00:00
+#SBATCH --mail-user=hauke.schulz@mpimet.mpg.de
+#SBATCH --mail-type=ALL
+#=============================================================================
 # Reprocessing EUREC4A classification data
 
 # Download satellite data
@@ -15,7 +26,7 @@
 
 # Download the classifications from the webpage (only project team can do this)
 # Save download to /zooniverse_raw
-
+module load python3/2021.01-gcc-9.1.0
 # Create level1 file
 #python create_level1.py -e EUREC4A
 

From 687b28064b09a6b7308a09e648dc0cc6b18b7954 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Wed, 24 Nov 2021 13:24:43 +0100
Subject: [PATCH 27/34] \ Level 3: chunking and scaling

---
 scripts/create_level3.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/scripts/create_level3.py b/scripts/create_level3.py
index cf51ebf..43b6098 100644
--- a/scripts/create_level3.py
+++ b/scripts/create_level3.py
@@ -136,7 +136,7 @@ def compute_scale_and_offset(min, max, n):
     store = zarr.DirectoryStore(level3_file.format(workflow=combo, mode=args["mode"]))
     root_grp = zarr.group(store, overwrite=True)
     freq = root_grp.create_dataset('freq', shape=(nb_dates, nb_lons, nb_lats, nb_patterns),
-                                   chunks=(1, nb_lons//2, nb_lats//2, nb_patterns),
+                                   chunks=(1, nb_lons, nb_lats, nb_patterns),
                                    dtype="i4",fill_value=0,compressor=Blosc(cname='zstd', clevel=1, shuffle=Blosc.SHUFFLE))
     dates = root_grp.create_dataset('date', shape=(nb_dates), chunks=(nb_dates),
                             dtype=int, compressor=zarr.Zlib(level=1))
@@ -189,7 +189,7 @@ def compute_scale_and_offset(min, max, n):
     # Variable attributes
     freq.attrs['_ARRAY_DIMENSIONS'] = ('date', 'longitude', 'latitude', 'pattern')
     freq.attrs['description'] = 'classification frequency for every day'
-#    freq.attrs['scale_factor'] = scale_factor
+    freq.attrs['scale_factor'] = 1/10000
     lons.attrs['_ARRAY_DIMENSIONS'] = ('longitude')
     lons.attrs['standard_name'] = 'longitude'
     lons.attrs['units'] = 'degree_east'

From a6592428255b09ccf6455f41ff3f31a527ca4712 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Wed, 24 Nov 2021 13:25:35 +0100
Subject: [PATCH 28/34] \ Station timeseries update incl. online tracks

---
 .../manual_classifications_timeseries.ipynb   | 1236 ++++++++++++++---
 1 file changed, 1045 insertions(+), 191 deletions(-)

diff --git a/notebooks/manual_classifications_timeseries.ipynb b/notebooks/manual_classifications_timeseries.ipynb
index d3cfc5a..6036335 100644
--- a/notebooks/manual_classifications_timeseries.ipynb
+++ b/notebooks/manual_classifications_timeseries.ipynb
@@ -27,18 +27,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Workflow as given in l3 output\n",
     "workflow = 'IR'\n",
+    "mode = 'daily'\n",
     "\n",
     "# Level3 filename (input)\n",
-    "level3_file = '../processed_data/EUREC4A_ManualClassifications_l3_{workflow}.zarr'.format(workflow=workflow)\n",
+    "level3_file = '../processed_data/EUREC4A_ManualClassifications_l3_{workflow}_{mode}.zarr'.format(workflow=workflow, mode=mode)\n",
     "\n",
     "# DSHIP Meteor (input)\n",
-    "meteor_dship_file = '/Users/haukeschulz/Documents/EUREC4A/Radiosoundings/EUREC4Asoundings/EUREC4A_Meteor_DSHIP.nc'\n",
+    "meteor_dship_file = 'https://observations.ipsl.fr/thredds/dodsC/EUREC4A/PRODUCTS/TRACKS/EUREC4A_tracks_Meteor_v1.0.nc'\n",
     "\n",
     "# Figure directory (output)\n",
     "outdir = '../figures/'"
@@ -46,16 +47,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<ipython-input-3-7a910d81195f>:1: RuntimeWarning: Failed to open Zarr store with consolidated metadata, falling back to try reading non-consolidated metadata. This is typically much slower for opening a dataset. To silence this warning, consider:\n",
+      "1. Consolidating metadata in this existing store with zarr.consolidate_metadata().\n",
+      "2. Explicitly setting consolidated=False, to avoid trying to read consolidate metadata, or\n",
+      "3. Explicitly setting consolidated=True, to raise an error in this case instead of falling back to try reading non-consolidated metadata.\n",
+      "  ds = xr.open_zarr(level3_file)\n"
+     ]
+    }
+   ],
    "source": [
     "ds = xr.open_zarr(level3_file)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -67,34 +80,571 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "text/html": [
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+       "<defs>\n",
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+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
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+       "\n",
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+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
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+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
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+       "\n",
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+       "  display: none;\n",
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+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
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+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
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+       "\n",
+       ".xr-obj-type {\n",
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+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
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+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
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+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
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+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
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+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
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+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
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+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
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+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
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+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:    (date: 47, longitude: 2200, latitude: 1500, pattern: 4)\n",
+       "Coordinates:\n",
+       "  * date       (date) datetime64[ns] 2020-01-07 2020-01-08 ... 2020-02-22\n",
+       "  * latitude   (latitude) float64 20.0 19.99 19.98 19.97 ... 5.03 5.02 5.01 5.0\n",
+       "  * longitude  (longitude) float64 -62.0 -61.99 -61.98 ... -40.02 -40.01 -40.0\n",
+       "  * pattern    (pattern) object &#x27;Sugar&#x27; &#x27;Flowers&#x27; &#x27;Fish&#x27; &#x27;Gravel&#x27;\n",
+       "Data variables:\n",
+       "    freq       (date, longitude, latitude, pattern) float64 dask.array&lt;chunksize=(1, 2200, 1500, 4), meta=np.ndarray&gt;\n",
+       "    nb_users   (date) float64 dask.array&lt;chunksize=(47,), meta=np.ndarray&gt;\n",
+       "Attributes:\n",
+       "    author:          Hauke Schulz (hauke.schulz@mpimet.mpg.de)\n",
+       "    created_on:      2021-11-24 00:58 UTC\n",
+       "    created_with:    create_level3.py with its last modification on Wed Nov 2...\n",
+       "    description:     Level-3: daily classification frequency\n",
+       "    institute:       Max Planck Institut für Meteorologie, Germany\n",
+       "    python_version:  3.8.6 | packaged by conda-forge | (default, Nov 27 2020,...\n",
+       "    title:           EUREC4A: manual meso-scale cloud pattern classifications\n",
+       "    version:         --</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-df0baceb-b344-4a08-a28e-0f658682f462' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-df0baceb-b344-4a08-a28e-0f658682f462' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>date</span>: 47</li><li><span class='xr-has-index'>longitude</span>: 2200</li><li><span class='xr-has-index'>latitude</span>: 1500</li><li><span class='xr-has-index'>pattern</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1e4ff756-00b9-4cc6-bcee-af8118da7834' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1e4ff756-00b9-4cc6-bcee-af8118da7834' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>date</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-07 ... 2020-02-22</div><input id='attrs-88b5765f-46a8-4df3-8c59-38bdb4e06f0b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88b5765f-46a8-4df3-8c59-38bdb4e06f0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-844700ad-fdcd-4536-9dd0-064226aab1ba' class='xr-var-data-in' type='checkbox'><label for='data-844700ad-fdcd-4536-9dd0-064226aab1ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-01-07T00:00:00.000000000&#x27;, &#x27;2020-01-08T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-09T00:00:00.000000000&#x27;, &#x27;2020-01-10T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-11T00:00:00.000000000&#x27;, &#x27;2020-01-12T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-13T00:00:00.000000000&#x27;, &#x27;2020-01-14T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-15T00:00:00.000000000&#x27;, &#x27;2020-01-16T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-17T00:00:00.000000000&#x27;, &#x27;2020-01-18T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-19T00:00:00.000000000&#x27;, &#x27;2020-01-20T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-21T00:00:00.000000000&#x27;, &#x27;2020-01-22T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-23T00:00:00.000000000&#x27;, &#x27;2020-01-24T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-25T00:00:00.000000000&#x27;, &#x27;2020-01-26T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-27T00:00:00.000000000&#x27;, &#x27;2020-01-28T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-29T00:00:00.000000000&#x27;, &#x27;2020-01-30T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-31T00:00:00.000000000&#x27;, &#x27;2020-02-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-02-02T00:00:00.000000000&#x27;, &#x27;2020-02-03T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-02-04T00:00:00.000000000&#x27;, &#x27;2020-02-05T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-02-06T00:00:00.000000000&#x27;, &#x27;2020-02-07T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-02-08T00:00:00.000000000&#x27;, &#x27;2020-02-09T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-02-10T00:00:00.000000000&#x27;, &#x27;2020-02-11T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-02-12T00:00:00.000000000&#x27;, &#x27;2020-02-13T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-02-14T00:00:00.000000000&#x27;, &#x27;2020-02-15T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-02-16T00:00:00.000000000&#x27;, &#x27;2020-02-17T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-02-18T00:00:00.000000000&#x27;, &#x27;2020-02-19T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-02-20T00:00:00.000000000&#x27;, &#x27;2020-02-21T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-02-22T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.0 19.99 19.98 ... 5.02 5.01 5.0</div><input id='attrs-ead1a1a0-f4f5-4aa4-8f7c-19030dfcdc77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ead1a1a0-f4f5-4aa4-8f7c-19030dfcdc77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1c8a96e-9506-43a1-bc27-bae498ac4fb7' class='xr-var-data-in' type='checkbox'><label for='data-b1c8a96e-9506-43a1-bc27-bae498ac4fb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><div class='xr-var-data'><pre>array([20.      , 19.989994, 19.979986, ...,  5.020013,  5.010007,  5.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-62.0 -61.99 ... -40.01 -40.0</div><input id='attrs-0a9b0cf3-3f74-4603-b6d8-e09ca505be09' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a9b0cf3-3f74-4603-b6d8-e09ca505be09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4d14ec8-c954-4082-9ecf-83a34b93a281' class='xr-var-data-in' type='checkbox'><label for='data-e4d14ec8-c954-4082-9ecf-83a34b93a281' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><div class='xr-var-data'><pre>array([-62.      , -61.989994, -61.979992, ..., -40.020008, -40.010006,\n",
+       "       -40.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>pattern</span></div><div class='xr-var-dims'>(pattern)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Sugar&#x27; &#x27;Flowers&#x27; &#x27;Fish&#x27; &#x27;Gravel&#x27;</div><input id='attrs-5f963b58-bd20-435c-af41-b7f3acb2d040' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5f963b58-bd20-435c-af41-b7f3acb2d040' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3281490d-5c84-4f71-aee3-bafc1d2de413' class='xr-var-data-in' type='checkbox'><label for='data-3281490d-5c84-4f71-aee3-bafc1d2de413' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Sugar&#x27;, &#x27;Flowers&#x27;, &#x27;Fish&#x27;, &#x27;Gravel&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9d476075-ca2a-4eda-ad0e-71e742c58478' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9d476075-ca2a-4eda-ad0e-71e742c58478' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>freq</span></div><div class='xr-var-dims'>(date, longitude, latitude, pattern)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2200, 1500, 4), meta=np.ndarray&gt;</div><input id='attrs-5da1837c-cc1d-4046-974a-426e0b1c8af6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5da1837c-cc1d-4046-974a-426e0b1c8af6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69f9a0d8-aff3-4f9f-bbc8-0c590c12166f' class='xr-var-data-in' type='checkbox'><label for='data-69f9a0d8-aff3-4f9f-bbc8-0c590c12166f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>classification frequency for every day</dd></dl></div><div class='xr-var-data'><table>\n",
+       "<tr>\n",
+       "<td>\n",
+       "<table>\n",
+       "  <thead>\n",
+       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr><th> Bytes </th><td> 4.96 GB </td> <td> 105.60 MB </td></tr>\n",
+       "    <tr><th> Shape </th><td> (47, 2200, 1500, 4) </td> <td> (1, 2200, 1500, 4) </td></tr>\n",
+       "    <tr><th> Count </th><td> 48 Tasks </td><td> 47 Chunks </td></tr>\n",
+       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</td>\n",
+       "<td>\n",
+       "<svg width=\"344\" height=\"202\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
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+       "</td>\n",
+       "</tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nb_users</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(47,), meta=np.ndarray&gt;</div><input id='attrs-7f6840a1-e198-4ce1-bd75-7cd540da0d9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f6840a1-e198-4ce1-bd75-7cd540da0d9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c30f78b-b747-469c-b59e-260e818ff2be' class='xr-var-data-in' type='checkbox'><label for='data-7c30f78b-b747-469c-b59e-260e818ff2be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>number of users that saw this image/dataset</dd></dl></div><div class='xr-var-data'><table>\n",
+       "<tr>\n",
+       "<td>\n",
+       "<table>\n",
+       "  <thead>\n",
+       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr><th> Bytes </th><td> 376 B </td> <td> 376 B </td></tr>\n",
+       "    <tr><th> Shape </th><td> (47,) </td> <td> (47,) </td></tr>\n",
+       "    <tr><th> Count </th><td> 2 Tasks </td><td> 1 Chunks </td></tr>\n",
+       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
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+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-7cb4472e-3f6a-4c54-99a0-b5c93a8f1c05' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7cb4472e-3f6a-4c54-99a0-b5c93a8f1c05' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>author :</span></dt><dd>Hauke Schulz (hauke.schulz@mpimet.mpg.de)</dd><dt><span>created_on :</span></dt><dd>2021-11-24 00:58 UTC</dd><dt><span>created_with :</span></dt><dd>create_level3.py with its last modification on Wed Nov 24 00:35:00 2021</dd><dt><span>description :</span></dt><dd>Level-3: daily classification frequency</dd><dt><span>institute :</span></dt><dd>Max Planck Institut für Meteorologie, Germany</dd><dt><span>python_version :</span></dt><dd>3.8.6 | packaged by conda-forge | (default, Nov 27 2020, 19:31:52) \n",
+       "[GCC 9.3.0]</dd><dt><span>title :</span></dt><dd>EUREC4A: manual meso-scale cloud pattern classifications</dd><dt><span>version :</span></dt><dd>--</dd></dl></div></li></ul></div></div>"
+      ],
       "text/plain": [
        "<xarray.Dataset>\n",
-       "Dimensions:    (date: 47, latitude: 1500, longitude: 2200, pattern: 4)\n",
+       "Dimensions:    (date: 47, longitude: 2200, latitude: 1500, pattern: 4)\n",
        "Coordinates:\n",
        "  * date       (date) datetime64[ns] 2020-01-07 2020-01-08 ... 2020-02-22\n",
        "  * latitude   (latitude) float64 20.0 19.99 19.98 19.97 ... 5.03 5.02 5.01 5.0\n",
        "  * longitude  (longitude) float64 -62.0 -61.99 -61.98 ... -40.02 -40.01 -40.0\n",
        "  * pattern    (pattern) object 'Sugar' 'Flowers' 'Fish' 'Gravel'\n",
        "Data variables:\n",
-       "    freq       (date, longitude, latitude, pattern) float64 dask.array<shape=(47, 2200, 1500, 4), chunksize=(1, 2200, 1500, 4)>\n",
-       "    nb_users   (date) float64 dask.array<shape=(47,), chunksize=(1,)>\n",
+       "    freq       (date, longitude, latitude, pattern) float64 dask.array<chunksize=(1, 2200, 1500, 4), meta=np.ndarray>\n",
+       "    nb_users   (date) float64 dask.array<chunksize=(47,), meta=np.ndarray>\n",
        "Attributes:\n",
        "    author:          Hauke Schulz (hauke.schulz@mpimet.mpg.de)\n",
-       "    created_on:      2020-06-10 00:43 UTC\n",
-       "    created_with:    create_level3.py with its last modification on Tue Jun  ...\n",
+       "    created_on:      2021-11-24 00:58 UTC\n",
+       "    created_with:    create_level3.py with its last modification on Wed Nov 2...\n",
        "    description:     Level-3: daily classification frequency\n",
        "    institute:       Max Planck Institut für Meteorologie, Germany\n",
-       "    python_version:  3.6.7 | packaged by conda-forge | (default, Jul  2 2019,...\n",
+       "    python_version:  3.8.6 | packaged by conda-forge | (default, Nov 27 2020,...\n",
        "    title:           EUREC4A: manual meso-scale cloud pattern classifications\n",
        "    version:         --"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -105,12 +655,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if mode == 'daily':\n",
+    "    data = ds.freq.sel(latitude=13.1626389, longitude=-059.4287500, method='nearest')\n",
+    "    data2 = data\n",
+    "elif mode =='instant':\n",
+    "    data=(ds.freq.sel(latitude=13.1626389, longitude=-059.4287500, method='nearest') * ds.nb_users).groupby(ds.date.dt.date).mean().compute()\n",
+    "    data2 = data/ds.nb_users.groupby(ds.date.dt.date).mean().compute()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 576x108 with 1 Axes>"
       ]
@@ -122,15 +686,15 @@
     }
    ],
    "source": [
-    "frequency = np.zeros((len(ds.date)))\n",
+    "frequency = np.zeros((len(data2.date)))\n",
     "\n",
     "fig, ax = plt.subplots(figsize=(8,1.5))\n",
     "\n",
     "for p in ['Sugar', 'Gravel', 'Fish', 'Flowers']:\n",
-    "    data = ds.freq.interp(latitude=13.1626389, longitude=-059.4287500).sel(pattern=p).values *100\n",
-    "    data[np.isnan(data)] = 0\n",
-    "    ax.bar(dates.date2num(ds.date), data, label=p, bottom=frequency, color=color_dict[p])\n",
-    "    frequency += data\n",
+    "    data_ = data2.sel(pattern=p).values *100\n",
+    "    data_[np.isnan(data_)] = 0\n",
+    "    ax.bar(dates.date2num(data.date), data_, label=p, bottom=frequency, color=color_dict[p])\n",
+    "    frequency += data_\n",
     "    hfmt = dates.DateFormatter('%d.%m')\n",
     "    ax.xaxis.set_major_locator(dates.DayLocator(interval=5))\n",
     "    ax.xaxis.set_major_formatter(hfmt)\n",
@@ -138,54 +702,431 @@
     "plt.xlabel('date')\n",
     "plt.ylabel('classification (%)')\n",
     "plt.xlim(dt.datetime(2020,1,6), dt.datetime(2020,2,23))\n",
-    "plt.savefig(outdir+'ManualClassification_BCO_{}.pdf'.format(workflow),bbox_inches='tight')"
+    "plt.savefig(outdir+'ManualClassification_BCO_{}_{}.pdf'.format(workflow,mode),bbox_inches='tight')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
-    "ds_meteor = xr.open_dataset(meteor_dship_file)"
+    "ds_meteor = xr.open_dataset(meteor_dship_file, engine=\"netcdf4\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
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+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:  (time: 47520)\n",
+       "Coordinates:\n",
+       "  * time     (time) datetime64[ns] 2020-01-18 ... 2020-02-19T23:59:00\n",
+       "Data variables:\n",
+       "    lat      (time) float32 13.1 13.1 13.1 13.1 13.1 ... 13.09 13.09 13.09 13.09\n",
+       "    lon      (time) float32 -59.63 -59.63 -59.63 -59.63 ... -59.19 -59.19 -59.19\n",
+       "    alt      (time) float32 -13.16 -13.14 -13.16 -13.14 ... -14.89 -14.93 -14.88\n",
+       "Attributes: (12/13)\n",
+       "    history:                         Created from source   by B Stevens (bjor...\n",
+       "    title:                           Trajectory from Meteor position data\n",
+       "    campaign:                        EUREC4A\n",
+       "    platform:                        Meteor\n",
+       "    product:                         tracks\n",
+       "    Conventions:                     CF-1.8\n",
+       "    ...                              ...\n",
+       "    source:                          EUREC4A_DSHIP_Meteor_v1.00.nc\n",
+       "    featureType:                     trajectory\n",
+       "    version:                         v1.0\n",
+       "    contact:                         Wiebke Mohr, email: wmohr@mpi-bremen.de;...\n",
+       "    doi:                             10.25326/165\n",
+       "    DODS_EXTRA.Unlimited_Dimension:  time</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5be0ed7b-cf7a-4810-ba66-675ca6e474a4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5be0ed7b-cf7a-4810-ba66-675ca6e474a4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 47520</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-81877896-2645-40f9-a644-dae3e537c06e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-81877896-2645-40f9-a644-dae3e537c06e' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-18 ... 2020-02-19T23:59:00</div><input id='attrs-9f7a0728-d14c-4acf-91f4-83ebf65ed202' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f7a0728-d14c-4acf-91f4-83ebf65ed202' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b94536f-9f0b-4183-b72b-010d1c8715f3' class='xr-var-data-in' type='checkbox'><label for='data-3b94536f-9f0b-4183-b72b-010d1c8715f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time, from instrument log</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>_ChunkSizes :</span></dt><dd>512</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-01-18T00:00:00.000000000&#x27;, &#x27;2020-01-18T00:01:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-18T00:02:00.000000000&#x27;, ..., &#x27;2020-02-19T23:57:00.000000000&#x27;,\n",
+       "       &#x27;2020-02-19T23:58:00.000000000&#x27;, &#x27;2020-02-19T23:59:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bdd970f7-e97c-4590-9364-2a33b09c0205' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bdd970f7-e97c-4590-9364-2a33b09c0205' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c7e753dc-03f0-4feb-bb18-6f53f70310ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7e753dc-03f0-4feb-bb18-6f53f70310ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3e76b4b-44e3-4139-a922-9bae774047b6' class='xr-var-data-in' type='checkbox'><label for='data-e3e76b4b-44e3-4139-a922-9bae774047b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>_ChunkSizes :</span></dt><dd>1012</dd></dl></div><div class='xr-var-data'><pre>array([13.1012, 13.1012, 13.1012, ..., 13.0883, 13.0888, 13.0893],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3099ef4c-55f3-4f31-8212-95fb57970027' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3099ef4c-55f3-4f31-8212-95fb57970027' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-446a0406-f4d2-4dc0-bf7f-0251d3d398f0' class='xr-var-data-in' type='checkbox'><label for='data-446a0406-f4d2-4dc0-bf7f-0251d3d398f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>_ChunkSizes :</span></dt><dd>1012</dd></dl></div><div class='xr-var-data'><pre>array([-59.6292, -59.6292, -59.6292, ..., -59.195 , -59.1932, -59.1913],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>alt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-128d9080-0a64-49ee-8b7a-b7265eb57d01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-128d9080-0a64-49ee-8b7a-b7265eb57d01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-024cba64-f91d-4db1-8537-d5a485fd69c8' class='xr-var-data-in' type='checkbox'><label for='data-024cba64-f91d-4db1-8537-d5a485fd69c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height, usually GPS or pressure from instrument log, above mean sea level</dd><dt><span>standard_name :</span></dt><dd>altitude</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>_ChunkSizes :</span></dt><dd>1012</dd></dl></div><div class='xr-var-data'><pre>array([-13.16, -13.14, -13.16, ..., -14.89, -14.93, -14.88], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-29be47a2-373a-44d2-8cd0-9c7a496cd27b' class='xr-section-summary-in' type='checkbox'  ><label for='section-29be47a2-373a-44d2-8cd0-9c7a496cd27b' class='xr-section-summary' >Attributes: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>history :</span></dt><dd>Created from source   by B Stevens (bjorn.stevens@mpimet.mpg.de) on 20210515T22:26:32.  Tracks constructed from preliminary data provided by contact</dd><dt><span>title :</span></dt><dd>Trajectory from Meteor position data</dd><dt><span>campaign :</span></dt><dd>EUREC4A</dd><dt><span>platform :</span></dt><dd>Meteor</dd><dt><span>product :</span></dt><dd>tracks</dd><dt><span>Conventions :</span></dt><dd>CF-1.8</dd><dt><span>institution :</span></dt><dd>DFG</dd><dt><span>source :</span></dt><dd>EUREC4A_DSHIP_Meteor_v1.00.nc</dd><dt><span>featureType :</span></dt><dd>trajectory</dd><dt><span>version :</span></dt><dd>v1.0</dd><dt><span>contact :</span></dt><dd>Wiebke Mohr, email: wmohr@mpi-bremen.de; Stefan Kinne, email: stefan.kinne@mpimet.mpg.de; </dd><dt><span>doi :</span></dt><dd>10.25326/165</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>time</dd></dl></div></li></ul></div></div>"
+      ],
       "text/plain": [
        "<xarray.Dataset>\n",
-       "Dimensions:  (time: 63144)\n",
+       "Dimensions:  (time: 47520)\n",
        "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 2020-01-17 ... 2020-02-29T23:59:01\n",
-       "    lat      (time) float64 ...\n",
-       "    lon      (time) float64 ...\n",
+       "  * time     (time) datetime64[ns] 2020-01-18 ... 2020-02-19T23:59:00\n",
        "Data variables:\n",
-       "    speed    (time) float64 ...\n",
-       "    p        (time) float64 ...\n",
-       "    Tport    (time) float64 ...\n",
-       "    Tstar    (time) float64 ...\n",
-       "    RHport   (time) float64 ...\n",
-       "    RHstar   (time) float64 ...\n",
-       "    DD_true  (time) float64 ...\n",
-       "    FF_true  (time) float64 ...\n",
-       "    SSTport  (time) float64 ...\n",
-       "    SSTstar  (time) float64 ...\n",
-       "Attributes:\n",
-       "    source:          ['/Users/haukeschulz/Documents/GitProjects/eurec4a_snd/e...\n",
-       "    git_version:     --\n",
-       "    created_with:    convert_DSHIP.py with its last modifications on Sun May ...\n",
-       "    created_on:      Mon May 18 23:38:57 2020\n",
-       "    python_version:  3.7.6 | packaged by conda-forge | (default, Mar 23 2020,...\n",
-       "    Conventions:     CF-1.7\n",
-       "    featureType:     trajectory"
+       "    lat      (time) float32 ...\n",
+       "    lon      (time) float32 ...\n",
+       "    alt      (time) float32 ...\n",
+       "Attributes: (12/13)\n",
+       "    history:                         Created from source   by B Stevens (bjor...\n",
+       "    title:                           Trajectory from Meteor position data\n",
+       "    campaign:                        EUREC4A\n",
+       "    platform:                        Meteor\n",
+       "    product:                         tracks\n",
+       "    Conventions:                     CF-1.8\n",
+       "    ...                              ...\n",
+       "    source:                          EUREC4A_DSHIP_Meteor_v1.00.nc\n",
+       "    featureType:                     trajectory\n",
+       "    version:                         v1.0\n",
+       "    contact:                         Wiebke Mohr, email: wmohr@mpi-bremen.de;...\n",
+       "    doi:                             10.25326/165\n",
+       "    DODS_EXTRA.Unlimited_Dimension:  time"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -196,7 +1137,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -207,7 +1148,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -216,46 +1157,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if mode == 'daily':\n",
+    "    ds_classifications_daily = ds.freq\n",
+    "elif mode =='instant':\n",
+    "    ds_classifications_daily = (ds.freq * ds.nb_users).groupby(ds.date.dt.date).mean() / ds.nb_users.groupby(ds.date.dt.date).mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "No data found for date <xarray.DataArray 'time' ()>\n",
-      "array(1582416000000000000, dtype='datetime64[ns]')\n",
-      "Coordinates:\n",
-      "    time     datetime64[ns] 2020-02-23\n",
-      "No data found for date <xarray.DataArray 'time' ()>\n",
-      "array(1582502400000000000, dtype='datetime64[ns]')\n",
-      "Coordinates:\n",
-      "    time     datetime64[ns] 2020-02-24\n",
-      "No data found for date <xarray.DataArray 'time' ()>\n",
-      "array(1582588800000000000, dtype='datetime64[ns]')\n",
-      "Coordinates:\n",
-      "    time     datetime64[ns] 2020-02-25\n",
-      "No data found for date <xarray.DataArray 'time' ()>\n",
-      "array(1582675200000000000, dtype='datetime64[ns]')\n",
-      "Coordinates:\n",
-      "    time     datetime64[ns] 2020-02-26\n",
-      "No data found for date <xarray.DataArray 'time' ()>\n",
-      "array(1582761600000000000, dtype='datetime64[ns]')\n",
-      "Coordinates:\n",
-      "    time     datetime64[ns] 2020-02-27\n",
-      "No data found for date <xarray.DataArray 'time' ()>\n",
-      "array(1582848000000000000, dtype='datetime64[ns]')\n",
-      "Coordinates:\n",
-      "    time     datetime64[ns] 2020-02-28\n",
-      "No data found for date <xarray.DataArray 'time' ()>\n",
-      "array(1582934400000000000, dtype='datetime64[ns]')\n",
-      "Coordinates:\n",
-      "    time     datetime64[ns] 2020-02-29\n"
-     ]
+     "data": {
+      "text/plain": [
+       "(18267.0, 18315.0)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 576x108 with 1 Axes>"
       ]
@@ -275,9 +1204,13 @@
     "    frequency = 0\n",
     "    lat = ds_meteor_daily.latitude.sel(time=date)\n",
     "    lon = ds_meteor_daily.longitude.sel(time=date)\n",
+    "    if mode == 'daily':\n",
+    "        date_to_sel = date\n",
+    "    elif mode =='instant':\n",
+    "        date_to_sel = date.dt.date\n",
     "    for p in ['Sugar', 'Gravel', 'Fish', 'Flowers']:\n",
     "        try:\n",
-    "            data = ds.freq.interp(latitude=lat, longitude=lon).sel(date=date, pattern=p).values *100\n",
+    "            data = ds_classifications_daily.sel(latitude=lat, longitude=lon, method='nearest').sel(date=date_to_sel, pattern=p).values *100\n",
     "        except KeyError:\n",
     "            print('No data found for date {}'.format(date))\n",
     "            break\n",
@@ -293,21 +1226,21 @@
     "plt.xlabel('date')\n",
     "plt.ylabel('classification (%)')\n",
     "plt.xlim(dt.datetime(2020,1,6), dt.datetime(2020,2,23))\n",
-    "plt.savefig(outdir+'ManualClassification_Meteor_{}.pdf'.format(workflow),bbox_inches='tight')"
+    "# plt.savefig(outdir+'ManualClassification_Meteor_{}.pdf'.format(workflow),bbox_inches='tight')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "'/Users/haukeschulz/Documents/EUREC4A/EUREC4A_CloudClassification/notebooks'"
+       "'/mnt/lustre02/work/mh0010/m300408/EUREC4A_CloudClassification/manual/EUREC4A_manualclassifications/notebooks'"
       ]
      },
-     "execution_count": 61,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -318,14 +1251,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "/Users/haukeschulz/anaconda3/bin/python\n"
+      "/sw/spack-rhel6/miniforge3-4.9.2-3-Linux-x86_64-pwdbqi/bin/python\r\n"
      ]
     }
    ],
@@ -342,7 +1275,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -352,99 +1285,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def date_parser(d):\n",
-    "    print(d)\n",
-    "    date = pd.datetime.strptime(d, '%Y-%m-%d %H:%M:%S')\n",
-    "    return date"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df = pd.read_csv('/Users/haukeschulz/Downloads/atalante_traj_gosud3_2020.txt',\n",
-    "                 delim_whitespace=True,\n",
-    "                 names=['date', 'time', 'longitude', 'latitude', 'unknown1', 'unknown2', 'unknown3'],\n",
-    "                 parse_dates=False\n",
-    "                )"
+    "ds_atalante = xr.open_dataset(\"https://observations.ipsl.fr/thredds/dodsC/EUREC4A/PRODUCTS/TRACKS/EUREC4A_tracks_Atalante_v1.0.nc\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
-    "times = pd.to_datetime(df.date + ' ' + df.time, format='%Y-%m-%d %H:%M:%S')\n",
-    "df.set_index(times, inplace=True)\n",
-    "# and maybe for cleanup\n",
-    "df = df.drop(['date','time'], axis=1)"
+    "ds_atalante_daily = ds_atalante.resample(time='1D').mean()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df_atalante_daily = df.resample('1D').mean()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x11857bef0>]"
-      ]
-     },
-     "execution_count": 68,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.plot(df.longitude, df.latitude)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ds_atalante_daily = xr.Dataset.from_dataframe(df_atalante_daily)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 576x108 with 1 Axes>"
       ]
@@ -460,14 +1324,18 @@
     "\n",
     "fig, ax = plt.subplots(figsize=(8,1.5))\n",
     "\n",
-    "for d, date in enumerate(ds_atalante_daily.sel(index=slice(dt.datetime(2020,1,20),dt.datetime(2020,2,18))).index):\n",
+    "for d, date in enumerate(ds_atalante_daily.sel(time=slice(dt.datetime(2020,1,20),dt.datetime(2020,2,18))).time):\n",
     "    frequency = 0\n",
-    "    lat = ds_atalante_daily.latitude.sel(index=date)\n",
-    "    lon = ds_atalante_daily.longitude.sel(index=date)\n",
+    "    lat = ds_atalante_daily.lat.sel(time=date)\n",
+    "    lon = ds_atalante_daily.lon.sel(time=date)\n",
     "    if np.isnan(lat) or np.isnan(lon):\n",
     "        print('Position contains nan on {}'.format(date.values))\n",
     "        continue\n",
     "    for p in ['Sugar', 'Gravel', 'Fish', 'Flowers']:\n",
+    "#         if mode =='daily':\n",
+    "            \n",
+    "#         elif mode =='instant':\n",
+    "            \n",
     "        try:\n",
     "            data = ds.freq.sel(date=date, pattern=p).interp(coords={'latitude':lat, 'longitude':lon}, kwargs={'bounds_error':True}).values *100\n",
     "        except KeyError:\n",
@@ -488,36 +1356,22 @@
     "plt.xlabel('date')\n",
     "plt.ylabel('classification (%)')\n",
     "plt.xlim(dt.datetime(2020,1,6), dt.datetime(2020,2,23))\n",
-    "plt.savefig(outdir+'ManualClassification_Atalante_{}.pdf'.format(workflow),bbox_inches='tight')"
+    "plt.savefig(outdir+'ManualClassification_Atalante_{}_{}.pdf'.format(workflow,mode),bbox_inches='tight')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<xarray.DataArray 'latitude' ()>\n",
-       "array(6.4941089595375745)"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds_atalante_daily.sel(index=slice(dt.datetime(2020,1,7),dt.datetime(2020,2,22))).latitude.min()"
-   ]
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:root] *",
+   "display_name": "Python 3 unstable (using the module python3/unstable)",
    "language": "python",
-   "name": "conda-root-py"
+   "name": "python3_unstable"
   },
   "language_info": {
    "codemirror_mode": {
@@ -529,7 +1383,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.7"
+   "version": "3.8.6"
   }
  },
  "nbformat": 4,

From 93d18756e253bd696a9f76c2734fa864faf43a57 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Wed, 24 Nov 2021 13:26:28 +0100
Subject: [PATCH 29/34] \ Minor changes to dataset overview

---
 notebooks/dataset_overview.ipynb | 523 ++++++++++++++++++++++++++-----
 1 file changed, 449 insertions(+), 74 deletions(-)

diff --git a/notebooks/dataset_overview.ipynb b/notebooks/dataset_overview.ipynb
index b516cbd..948f277 100644
--- a/notebooks/dataset_overview.ipynb
+++ b/notebooks/dataset_overview.ipynb
@@ -10,14 +10,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "/Users/haukeschulz/anaconda3/bin/python\n"
+      "/sw/spack-rhel6/miniforge3-4.9.2-3-Linux-x86_64-pwdbqi/bin/python\r\n"
      ]
     }
    ],
@@ -27,16 +27,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "'/Users/haukeschulz/Documents/EUREC4A/EUREC4A_CloudClassification/notebooks'"
+       "'/mnt/lustre02/work/mh0010/m300408/EUREC4A_CloudClassification/manual/EUREC4A_manualclassifications/notebooks'"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -60,7 +60,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -69,7 +69,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -78,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -87,34 +87,431 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
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+       "\n",
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+       "  grid-column: 1;\n",
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+       "\n",
+       ".xr-attrs dt:hover span {\n",
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+       "  stroke: currentColor;\n",
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:            (index: 15303)\n",
+       "Coordinates:\n",
+       "  * index              (index) int32 0 1 2 3 4 ... 15298 15299 15300 15301 15302\n",
+       "Data variables: (12/23)\n",
+       "    classification_id  (index) int32 206409512 206409512 ... 215004569 215004569\n",
+       "    user_name          (index) object &#x27;ShCu&#x27; &#x27;ShCu&#x27; ... &#x27;tmieslinger&#x27;\n",
+       "    user_id            (index) float64 1.83e+06 1.83e+06 ... 1.83e+06 1.83e+06\n",
+       "    workflow_id        (index) int16 13306 13306 13306 ... 13309 13309 13309\n",
+       "    workflow_name      (index) object &#x27;EUREC4A (VIS)&#x27; ... &#x27;EUREC4A (IR)&#x27;\n",
+       "    created_at         (index) datetime64[ns] 2020-03-02T09:22:58 ... 2020-03...\n",
+       "    ...                 ...\n",
+       "    init_date          (index) datetime64[ns] NaT NaT NaT NaT ... NaT NaT NaT\n",
+       "    instrument         (index) object &#x27;ABI&#x27; &#x27;ABI&#x27; &#x27;ABI&#x27; ... &#x27;ABI&#x27; &#x27;ABI&#x27; &#x27;ABI&#x27;\n",
+       "    lon0               (index) float64 -49.23 -60.42 -60.13 ... -61.91 -50.33\n",
+       "    lat0               (index) float64 9.883 11.61 5.29 ... 5.07 10.24 20.0\n",
+       "    lon1               (index) float64 -40.57 -51.27 -40.98 ... -56.4 -45.25\n",
+       "    lat1               (index) float64 18.05 18.29 11.09 ... 10.15 15.87 10.11\n",
+       "Attributes:\n",
+       "    title:           EUREC4A: manual meso-scale cloud pattern classifications\n",
+       "    description:     Level-1: restructured enhanced raw data\n",
+       "    author:          Hauke Schulz (hauke.schulz@mpimet.mpg.de)\n",
+       "    created_on:      2021-11-23 09:48 UTC\n",
+       "    created_with:    create_level1.py with its last modification on Mon Nov 2...\n",
+       "    version:         --\n",
+       "    python_version:  3.8.6 | packaged by conda-forge | (default, Nov 27 2020,...\n",
+       "    doi:             not yet set</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-cee5f018-ae82-4f86-820c-84386250f6a5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cee5f018-ae82-4f86-820c-84386250f6a5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>index</span>: 15303</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-35a48488-86d8-42b5-94ca-fdf00fca119a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-35a48488-86d8-42b5-94ca-fdf00fca119a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>index</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 ... 15299 15300 15301 15302</div><input id='attrs-77f19022-59ce-44d3-b863-3d18a3656f62' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-77f19022-59ce-44d3-b863-3d18a3656f62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37a1f93d-9d83-47ab-b2ae-44d0a29be38c' class='xr-var-data-in' type='checkbox'><label for='data-37a1f93d-9d83-47ab-b2ae-44d0a29be38c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([    0,     1,     2, ..., 15300, 15301, 15302], dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0d89e791-e622-46b7-a803-b0db91f909e3' class='xr-section-summary-in' type='checkbox'  ><label for='section-0d89e791-e622-46b7-a803-b0db91f909e3' class='xr-section-summary' >Data variables: <span>(23)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>classification_id</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e63c9c99-6332-4551-b590-c7a13a552cf2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e63c9c99-6332-4551-b590-c7a13a552cf2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c73bb714-1bd5-495c-bb33-821731850461' class='xr-var-data-in' type='checkbox'><label for='data-c73bb714-1bd5-495c-bb33-821731850461' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([206409512, 206409512, 206409528, ..., 215004569, 215004569, 215004569],\n",
+       "      dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>user_name</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f44ba2b-016e-4c15-bf94-f7e01510ecff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5f44ba2b-016e-4c15-bf94-f7e01510ecff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d14b872-d3a7-428e-b1dc-93b749df18b8' class='xr-var-data-in' type='checkbox'><label for='data-8d14b872-d3a7-428e-b1dc-93b749df18b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;ShCu&#x27;, &#x27;ShCu&#x27;, &#x27;ShCu&#x27;, ..., &#x27;tmieslinger&#x27;, &#x27;tmieslinger&#x27;,\n",
+       "       &#x27;tmieslinger&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>user_id</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ce1fdf63-025e-4696-b570-7117065d31ed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ce1fdf63-025e-4696-b570-7117065d31ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6513d44-fbe8-4be7-817c-af8b30c025d4' class='xr-var-data-in' type='checkbox'><label for='data-d6513d44-fbe8-4be7-817c-af8b30c025d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1830047., 1830047., 1830047., ..., 1830053., 1830053., 1830053.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>workflow_id</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b3bd9a63-d377-4a81-acaf-8a4dfdb8f34c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b3bd9a63-d377-4a81-acaf-8a4dfdb8f34c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c41718c-8505-4138-9cc6-037d371c3c1b' class='xr-var-data-in' type='checkbox'><label for='data-5c41718c-8505-4138-9cc6-037d371c3c1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([13306, 13306, 13306, ..., 13309, 13309, 13309], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>workflow_name</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9a590449-5271-4ead-90e3-adbf832be66b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9a590449-5271-4ead-90e3-adbf832be66b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30dcf39c-0b80-4f78-87f8-c49d1ef3e014' class='xr-var-data-in' type='checkbox'><label for='data-30dcf39c-0b80-4f78-87f8-c49d1ef3e014' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;EUREC4A (VIS)&#x27;, &#x27;EUREC4A (VIS)&#x27;, &#x27;EUREC4A (VIS)&#x27;, ..., &#x27;EUREC4A (IR)&#x27;,\n",
+       "       &#x27;EUREC4A (IR)&#x27;, &#x27;EUREC4A (IR)&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>created_at</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eed5a306-e04d-40c6-8089-e8deb8e4e76e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eed5a306-e04d-40c6-8089-e8deb8e4e76e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-600cfbbe-50fb-49ac-bc65-a7c47bf856a1' class='xr-var-data-in' type='checkbox'><label for='data-600cfbbe-50fb-49ac-bc65-a7c47bf856a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-03-02T09:22:58.000000000&#x27;, &#x27;2020-03-02T09:22:58.000000000&#x27;,\n",
+       "       &#x27;2020-03-02T09:23:15.000000000&#x27;, ..., &#x27;2020-03-29T17:23:38.000000000&#x27;,\n",
+       "       &#x27;2020-03-29T17:23:38.000000000&#x27;, &#x27;2020-03-29T17:23:38.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>subject_ids</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b5defdba-0df2-41a6-bf23-02f9674a1bb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5defdba-0df2-41a6-bf23-02f9674a1bb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f1675b6-657b-4dff-b3df-8f7da2b0bed9' class='xr-var-data-in' type='checkbox'><label for='data-5f1675b6-657b-4dff-b3df-8f7da2b0bed9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>Identifier to which subject set the image belongs to</dd></dl></div><div class='xr-var-data'><pre>array([40760389, 40760389, 40759748, ..., 40769437, 40769437, 40769437],\n",
+       "      dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fn</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ba61205b-1a4a-4f91-9e1b-3257dbad78a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba61205b-1a4a-4f91-9e1b-3257dbad78a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e0edb90-b49a-4c38-b18a-b11b377a3bab' class='xr-var-data-in' type='checkbox'><label for='data-5e0edb90-b49a-4c38-b18a-b11b377a3bab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>Filename of source image file</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;GOES16_C02_20200130_1400.jpeg&#x27;, &#x27;GOES16_C02_20200130_1400.jpeg&#x27;,\n",
+       "       &#x27;GOES16_C02_20200115_1600.jpeg&#x27;, ..., &#x27;GOES16_C13_20200205_1200.jpeg&#x27;,\n",
+       "       &#x27;GOES16_C13_20200205_1200.jpeg&#x27;, &#x27;GOES16_C13_20200205_1200.jpeg&#x27;],\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-32a54116-c0dd-4321-acb2-baa00b1ce27a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32a54116-c0dd-4321-acb2-baa00b1ce27a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efa7ee57-f424-4c6f-9b26-6501fc3985df' class='xr-var-data-in' type='checkbox'><label for='data-efa7ee57-f424-4c6f-9b26-6501fc3985df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>x-origin of label</dd></dl></div><div class='xr-var-data'><pre>array([1277.154541,  159.402298,  188.268219, ...,    0.      ,   10.40287 ,\n",
+       "       1167.401245])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4d06c1a0-d542-4f4b-ac0e-a4560916e57a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d06c1a0-d542-4f4b-ac0e-a4560916e57a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de594d1b-9ff4-4521-893e-ba76ab8b9680' class='xr-var-data-in' type='checkbox'><label for='data-de594d1b-9ff4-4521-893e-ba76ab8b9680' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>y-origin of label</dd></dl></div><div class='xr-var-data'><pre>array([488.515442, 661.710876,  29.868198, ...,   8.014624, 525.048218,\n",
+       "         0.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>width</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-375bc013-aac5-4576-8d97-3d63877fa257' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-375bc013-aac5-4576-8d97-3d63877fa257' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28ed1e7b-d939-4149-b877-fdb52077bac9' class='xr-var-data-in' type='checkbox'><label for='data-28ed1e7b-d939-4149-b877-fdb52077bac9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>width of label</dd></dl></div><div class='xr-var-data'><pre>array([ 867.581055,  917.294479, 1916.375824, ..., 1156.554321,  553.189781,\n",
+       "        509.802368])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fbf14cc4-ea24-44f0-a893-afb24b961087' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbf14cc4-ea24-44f0-a893-afb24b961087' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2c5ed0e-3fcb-43ce-b17d-1d81533c5885' class='xr-var-data-in' type='checkbox'><label for='data-e2c5ed0e-3fcb-43ce-b17d-1d81533c5885' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>height of label</dd></dl></div><div class='xr-var-data'><pre>array([817.867493, 668.72699 , 582.129177, ..., 509.802301, 564.036743,\n",
+       "       514.201385])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tool_label</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b956c280-6e2e-4650-84b4-a69b35babcce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b956c280-6e2e-4650-84b4-a69b35babcce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d1c9c1e-48c1-45bc-afcd-81d877319e84' class='xr-var-data-in' type='checkbox'><label for='data-6d1c9c1e-48c1-45bc-afcd-81d877319e84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>label</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;Sugar&#x27;, &#x27;Flower&#x27;, &#x27;Gravel&#x27;, ..., &#x27;Gravel&#x27;, &#x27;Gravel&#x27;, &#x27;Sugar&#x27;],\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>started_at</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-77c5d566-23c4-41f2-a71f-854c02c04e32' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-77c5d566-23c4-41f2-a71f-854c02c04e32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84dd5a8d-03b3-4327-a73b-b69c68f11637' class='xr-var-data-in' type='checkbox'><label for='data-84dd5a8d-03b3-4327-a73b-b69c68f11637' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-03-02T09:22:42.536000000&#x27;, &#x27;2020-03-02T09:22:42.536000000&#x27;,\n",
+       "       &#x27;2020-03-02T09:22:45.181098112&#x27;, ..., &#x27;2020-03-02T09:22:44.030327104&#x27;,\n",
+       "       &#x27;2020-03-02T09:22:44.030327104&#x27;, &#x27;2020-03-02T09:22:44.030327104&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>finished_at</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-454086b0-aeef-4340-b666-e85654a29805' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-454086b0-aeef-4340-b666-e85654a29805' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc9a0ad3-d611-4211-b8ca-50ec1f565bf1' class='xr-var-data-in' type='checkbox'><label for='data-dc9a0ad3-d611-4211-b8ca-50ec1f565bf1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-03-02T09:22:58.047000000&#x27;, &#x27;2020-03-02T09:22:58.047000000&#x27;,\n",
+       "       &#x27;2020-03-02T09:23:02.078098112&#x27;, ..., &#x27;2020-03-02T09:22:59.339686848&#x27;,\n",
+       "       &#x27;2020-03-02T09:22:59.339686848&#x27;, &#x27;2020-03-02T09:22:59.339686848&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>already_seen</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fa707aac-4d76-456d-8993-9cec4a0c09a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa707aac-4d76-456d-8993-9cec4a0c09a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56992a75-74ab-46fd-8e80-221dce876d9a' class='xr-var-data-in' type='checkbox'><label for='data-56992a75-74ab-46fd-8e80-221dce876d9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>Flag wheather the user has seen the label already</dd></dl></div><div class='xr-var-data'><pre>array([False, False, False, ..., False, False, False])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ac58d545-58f1-41a1-941d-e5a1717d1d3e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ac58d545-58f1-41a1-941d-e5a1717d1d3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc9d3cc3-e334-404e-bd60-c6c9de970333' class='xr-var-data-in' type='checkbox'><label for='data-bc9d3cc3-e334-404e-bd60-c6c9de970333' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-01-30T14:00:00.000000000&#x27;, &#x27;2020-01-30T14:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-01-15T16:00:00.000000000&#x27;, ..., &#x27;2020-02-05T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-02-05T12:00:00.000000000&#x27;, &#x27;2020-02-05T12:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>init_date</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-871711a2-e175-44ea-96cd-7dc83f52d14d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-871711a2-e175-44ea-96cd-7dc83f52d14d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e384515-99db-47ae-a81a-1c5bd861f1ee' class='xr-var-data-in' type='checkbox'><label for='data-3e384515-99db-47ae-a81a-1c5bd861f1ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, ..., &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>instrument</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d0315e49-0ca8-4609-bdd9-57c20f277412' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d0315e49-0ca8-4609-bdd9-57c20f277412' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cbea6c1-ac50-4578-8744-f35c7a24dd85' class='xr-var-data-in' type='checkbox'><label for='data-8cbea6c1-ac50-4578-8744-f35c7a24dd85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;ABI&#x27;, &#x27;ABI&#x27;, &#x27;ABI&#x27;, ..., &#x27;ABI&#x27;, &#x27;ABI&#x27;, &#x27;ABI&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon0</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4c0bf74b-f6fe-4d4b-a847-84111d26bd5d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c0bf74b-f6fe-4d4b-a847-84111d26bd5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02e0cf9c-e866-4ea6-b709-dca14a28abc4' class='xr-var-data-in' type='checkbox'><label for='data-02e0cf9c-e866-4ea6-b709-dca14a28abc4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-49.234197, -60.419281, -60.12915 , ..., -40.      , -61.909959,\n",
+       "       -50.334698])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat0</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-28352d83-3976-45a5-b6bc-635095fe76f1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-28352d83-3976-45a5-b6bc-635095fe76f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c59c57a0-2d6a-40a3-a61d-87de47118f0d' class='xr-var-data-in' type='checkbox'><label for='data-c59c57a0-2d6a-40a3-a61d-87de47118f0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 9.883256, 11.61441 ,  5.290193, ...,  5.070047, 10.243496, 20.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon1</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-af29a0b9-3b74-4376-a9d3-28c49cb5296e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af29a0b9-3b74-4376-a9d3-28c49cb5296e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2009bf91-9c5d-45a5-8b71-9881267093c1' class='xr-var-data-in' type='checkbox'><label for='data-2009bf91-9c5d-45a5-8b71-9881267093c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-40.570259, -51.265121, -40.980446, ..., -50.454752, -56.397453,\n",
+       "       -45.252387])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat1</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a7d9e013-4c17-48ed-8237-d07d36538cf2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a7d9e013-4c17-48ed-8237-d07d36538cf2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8927bf9a-a052-46dd-8642-665e47baf124' class='xr-var-data-in' type='checkbox'><label for='data-8927bf9a-a052-46dd-8642-665e47baf124' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([18.048699, 18.288859, 11.094063, ..., 10.153436, 15.867245, 10.113409])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ea616031-6faa-4aeb-8322-c6cf1d5f2b91' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ea616031-6faa-4aeb-8322-c6cf1d5f2b91' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>EUREC4A: manual meso-scale cloud pattern classifications</dd><dt><span>description :</span></dt><dd>Level-1: restructured enhanced raw data</dd><dt><span>author :</span></dt><dd>Hauke Schulz (hauke.schulz@mpimet.mpg.de)</dd><dt><span>created_on :</span></dt><dd>2021-11-23 09:48 UTC</dd><dt><span>created_with :</span></dt><dd>create_level1.py with its last modification on Mon Nov 22 22:05:15 2021</dd><dt><span>version :</span></dt><dd>--</dd><dt><span>python_version :</span></dt><dd>3.8.6 | packaged by conda-forge | (default, Nov 27 2020, 19:31:52) \n",
+       "[GCC 9.3.0]</dd><dt><span>doi :</span></dt><dd>not yet set</dd></dl></div></li></ul></div></div>"
+      ],
       "text/plain": [
        "<xarray.Dataset>\n",
-       "Dimensions:            (index: 16184)\n",
+       "Dimensions:            (index: 15303)\n",
        "Coordinates:\n",
-       "  * index              (index) int64 0 1 2 3 4 ... 16179 16180 16181 16182 16183\n",
-       "Data variables:\n",
-       "    classification_id  (index) int64 ...\n",
+       "  * index              (index) int32 0 1 2 3 4 ... 15298 15299 15300 15301 15302\n",
+       "Data variables: (12/23)\n",
+       "    classification_id  (index) int32 ...\n",
        "    user_name          (index) object ...\n",
        "    user_id            (index) float64 ...\n",
-       "    workflow_id        (index) int64 ...\n",
+       "    workflow_id        (index) int16 ...\n",
        "    workflow_name      (index) object ...\n",
-       "    created_at         (index) object ...\n",
-       "    subject_ids        (index) int64 ...\n",
-       "    fn                 (index) object ...\n",
-       "    x                  (index) float64 ...\n",
-       "    y                  (index) float64 ...\n",
-       "    width              (index) float64 ...\n",
-       "    height             (index) float64 ...\n",
-       "    tool_label         (index) object ...\n",
-       "    started_at         (index) datetime64[ns] ...\n",
-       "    finished_at        (index) datetime64[ns] ...\n",
-       "    already_seen       (index) bool ...\n",
-       "    date               (index) datetime64[ns] ...\n",
+       "    created_at         (index) datetime64[ns] ...\n",
+       "    ...                 ...\n",
        "    init_date          (index) datetime64[ns] ...\n",
        "    instrument         (index) object ...\n",
        "    lon0               (index) float64 ...\n",
@@ -125,14 +522,14 @@
        "    title:           EUREC4A: manual meso-scale cloud pattern classifications\n",
        "    description:     Level-1: restructured enhanced raw data\n",
        "    author:          Hauke Schulz (hauke.schulz@mpimet.mpg.de)\n",
-       "    created_on:      2020-04-08 01:47 UTC\n",
-       "    created_with:    create_level1.py with its last modification on Wed Apr  ...\n",
-       "    creation_date:   Wed Apr  8 01:47:37 2020\n",
-       "    python_version:  3.6.7 | packaged by conda-forge | (default, Jul  2 2019,...\n",
+       "    created_on:      2021-11-23 09:48 UTC\n",
+       "    created_with:    create_level1.py with its last modification on Mon Nov 2...\n",
+       "    version:         --\n",
+       "    python_version:  3.8.6 | packaged by conda-forge | (default, Nov 27 2020,...\n",
        "    doi:             not yet set"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -143,7 +540,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -158,7 +555,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -167,14 +564,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Empty labels: 2969\n"
+      "Empty labels: 2731\n"
      ]
     }
    ],
@@ -184,7 +581,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -193,7 +590,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -205,11 +602,6 @@
       "Flowers 287\n",
       "Gravel 423\n",
       "Sugar 65\n",
-      "EUREC4A (ICON; cloud liquid + ice) 296 12\n",
-      "Fish 119\n",
-      "Flowers 27\n",
-      "Gravel 214\n",
-      "Sugar 283\n",
       "EUREC4A (IR) 548 27\n",
       "Fish 658\n",
       "Flowers 917\n",
@@ -253,13 +645,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'global': {'Classifications': 7419, 'Labels': 13215, 'Users': 51},\n",
+       "{'global': {'Classifications': 7027, 'Labels': 12572, 'Users': 50},\n",
        " 'EUREC4A (ICON; albedo)_n/a': {'subject_nb': 369,\n",
        "  'user_nb': 22,\n",
        "  'classification_nb': 674,\n",
@@ -269,15 +661,6 @@
        "  'Flowers': 287,\n",
        "  'Gravel': 423,\n",
        "  'Sugar': 65},\n",
-       " 'EUREC4A (ICON; cloud liquid + ice)_': {'subject_nb': 296,\n",
-       "  'user_nb': 12,\n",
-       "  'classification_nb': 392,\n",
-       "  'label_nb': 643,\n",
-       "  'instrument': '',\n",
-       "  'Fish': 119,\n",
-       "  'Flowers': 27,\n",
-       "  'Gravel': 214,\n",
-       "  'Sugar': 283},\n",
        " 'EUREC4A (IR)_ABI': {'subject_nb': 548,\n",
        "  'user_nb': 27,\n",
        "  'classification_nb': 2525,\n",
@@ -307,7 +690,7 @@
        "  'Sugar': 709}}"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -318,7 +701,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -327,12 +710,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -366,17 +749,17 @@
     "# plt.ylabel('% labels');\n",
     "plt.ylabel('# labels');\n",
     "sns.despine()\n",
-    "plt.savefig('../figures/overview_labels.pdf',bbox_inches='tight')"
+    "# plt.savefig('../figures/overview_labels.pdf',bbox_inches='tight')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -414,12 +797,12 @@
     "# plt.ylabel('% labels');\n",
     "plt.ylabel('distribution of labels (%)');\n",
     "sns.despine()\n",
-    "plt.savefig('../figures/overview_labels_relative.pdf',bbox_inches='tight')"
+    "# plt.savefig('../figures/overview_labels_relative.pdf',bbox_inches='tight')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -427,7 +810,6 @@
      "output_type": "stream",
      "text": [
       "EUREC4A (ICON; albedo) (n/a): viewing average: 2.8 participants\n",
-      "EUREC4A (ICON; cloud liquid + ice) (): viewing average: 1.6 participants\n",
       "EUREC4A (IR) (ABI): viewing average: 6.4 participants\n",
       "EUREC4A (VIS) (ABI): viewing average: 15.2 participants\n",
       "EUREC4A (VIS) (MODIS): viewing average: 15.2 participants\n"
@@ -450,20 +832,13 @@
     "            views.append(len(np.unique(g.classification_id)))\n",
     "        print('{} ({}): viewing average: {} participants'.format(workflow, instrument, np.round(np.mean(views),1)))"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 unstable (using the module python3/unstable)",
    "language": "python",
-   "name": "python3"
+   "name": "python3_unstable"
   },
   "language_info": {
    "codemirror_mode": {
@@ -475,7 +850,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.7"
+   "version": "3.8.6"
   }
  },
  "nbformat": 4,

From 4aaf9728cb8c1eb190c8f05639e55f6b54aed5eb Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Wed, 24 Nov 2021 13:29:59 +0100
Subject: [PATCH 30/34] \ VIS workflow of instant+daily

---
 notebooks/create_overview_figures.ipynb | 1209 ++++++++++++++++++++++-
 1 file changed, 1173 insertions(+), 36 deletions(-)

diff --git a/notebooks/create_overview_figures.ipynb b/notebooks/create_overview_figures.ipynb
index ca0fae6..cbb90b1 100644
--- a/notebooks/create_overview_figures.ipynb
+++ b/notebooks/create_overview_figures.ipynb
@@ -17,7 +17,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -29,6 +29,45 @@
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'/mnt/lustre02/work/mh0010/m300408/EUREC4A_CloudClassification/manual/EUREC4A_manualclassifications/notebooks'"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pwd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Agreement_manual_NN.ipynb      helpers.py\r\n",
+      "create_overview_figures.ipynb  manual_classifications_timeseries.ipynb\r\n",
+      "dataset_overview.ipynb\t       __pycache__\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "!ls"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
@@ -37,7 +76,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sys.path.remove('')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sys.path.remove('/mnt/lustre02/work/mh0010/m300408/EUREC4A_CloudClassification/manual/EUREC4A_manualclassifications/notebooks')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -60,15 +117,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
+    "mode = 'daily'\n",
+    "\n",
     "# Level1 filename\n",
     "level1_file = '../processed_data/EUREC4A_ManualClassifications_l1.nc'\n",
     "\n",
     "# Level2 filename\n",
-    "level2_file = '../processed_data/EUREC4A_ManualClassifications_MergedClassifications.zarr'\n",
+    "level2_file = '../processed_data/EUREC4A_ManualClassifications_l2.zarr'.format(mode=mode)\n",
+    "\n",
+    "# Level3 filename\n",
+    "level3_file = '../processed_data/EUREC4A_ManualClassifications_l3_VIS_{mode}.zarr'.format(mode=mode)\n",
     "\n",
     "savefig = False # True: loop through all images and save heatmap, otherwise show first day inline"
    ]
@@ -82,7 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -93,7 +155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -110,11 +172,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
-    "da_arr = ds_l2.mask"
+    "# Load level 3 data\n",
+    "if os.path.exists(level3_file):\n",
+    "    # Open file for reading\n",
+    "    ds_l3 = xr.open_zarr(level3_file)\n",
+    "elif os.path.exists(level3_file+'.zip'):\n",
+    "    print('Please unzip {} first an rerun.'.format(level3_file+'.zip'))\n",
+    "    sys.exit()\n",
+    "else:\n",
+    "    print('Run create_level3.py to create the level3 data')"
    ]
   },
   {
@@ -139,7 +209,1063 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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+       "  --xr-background-color-row-odd: #313131;\n",
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+       ".xr-wrap {\n",
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+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
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+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
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+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
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+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
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+       "\n",
+       ".xr-section-summary-in + label:before {\n",
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+       "  font-size: 11px;\n",
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+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
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+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
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+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
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+       "  padding-bottom: 4px;\n",
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+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
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+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
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+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
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+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
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+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
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+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
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+       "  color: var(--xr-font-color2);\n",
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+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
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+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:            (classification_id: 9758, latitude: 1500, longitude: 2200)\n",
+       "Coordinates:\n",
+       "  * classification_id  (classification_id) float64 2.064e+08 ... 2.15e+08\n",
+       "  * latitude           (latitude) float32 20.0 19.99 19.98 ... 5.02 5.01 5.0\n",
+       "  * longitude          (longitude) float32 -62.0 -61.99 -61.98 ... -40.01 -40.0\n",
+       "Data variables:\n",
+       "    mask               (classification_id, longitude, latitude) float64 dask.array&lt;chunksize=(10, 1100, 750), meta=np.ndarray&gt;\n",
+       "Attributes:\n",
+       "    author:          Hauke Schulz (hauke.schulz@mpimet.mpg.de)\n",
+       "    created_on:      2021-11-23 14:25 UTC\n",
+       "    created_with:    create_level2.py with its last modification on Tue Nov 2...\n",
+       "    description:     Level-2: classification masks\n",
+       "    institute:       Max Planck Institut für Meteorologie, Germany\n",
+       "    python_version:  3.8.6 | packaged by conda-forge | (default, Nov 27 2020,...\n",
+       "    title:           EUREC4A: manual meso-scale cloud pattern classifications\n",
+       "    version:         --</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-27a44306-34d6-4457-a78a-0eaa36a454cb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-27a44306-34d6-4457-a78a-0eaa36a454cb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>classification_id</span>: 9758</li><li><span class='xr-has-index'>latitude</span>: 1500</li><li><span class='xr-has-index'>longitude</span>: 2200</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-19e3649f-f48a-4daf-a835-c8d268281fbf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-19e3649f-f48a-4daf-a835-c8d268281fbf' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>classification_id</span></div><div class='xr-var-dims'>(classification_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.064e+08 2.064e+08 ... 2.15e+08</div><input id='attrs-499bae93-d8aa-4a9f-acdb-adf26764cab9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-499bae93-d8aa-4a9f-acdb-adf26764cab9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-394fcb63-25dc-4aa5-9601-46b1f6cd2614' class='xr-var-data-in' type='checkbox'><label for='data-394fcb63-25dc-4aa5-9601-46b1f6cd2614' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>classification id (basically each sighting of an image has a unique id)</dd></dl></div><div class='xr-var-data'><pre>array([2.064095e+08, 2.064095e+08, 2.064095e+08, ..., 2.150033e+08,\n",
+       "       2.150040e+08, 2.150046e+08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 19.99 19.98 ... 5.02 5.01 5.0</div><input id='attrs-44c8b01e-6f95-43b4-bd6d-1a74a831df4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44c8b01e-6f95-43b4-bd6d-1a74a831df4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f202cb9-ef3a-4405-80b2-f32085f55068' class='xr-var-data-in' type='checkbox'><label for='data-3f202cb9-ef3a-4405-80b2-f32085f55068' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><div class='xr-var-data'><pre>array([20.      , 19.989994, 19.979986, ...,  5.020013,  5.010007,  5.      ],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-62.0 -61.99 ... -40.01 -40.0</div><input id='attrs-a276ce91-1e10-4fb8-8429-1244e035c1f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a276ce91-1e10-4fb8-8429-1244e035c1f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f4fa0d5-2896-4b9b-b889-593b95af4787' class='xr-var-data-in' type='checkbox'><label for='data-9f4fa0d5-2896-4b9b-b889-593b95af4787' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><div class='xr-var-data'><pre>array([-62.      , -61.989994, -61.979992, ..., -40.020008, -40.010006,\n",
+       "       -40.      ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-03f63129-8db8-42da-b79d-fe48822a8976' class='xr-section-summary-in' type='checkbox'  checked><label for='section-03f63129-8db8-42da-b79d-fe48822a8976' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>mask</span></div><div class='xr-var-dims'>(classification_id, longitude, latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 1100, 750), meta=np.ndarray&gt;</div><input id='attrs-07c1f371-ca4b-4f34-8c0e-cef17da65614' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07c1f371-ca4b-4f34-8c0e-cef17da65614' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-114c0174-15fe-4d08-a8d1-9424c81a41e8' class='xr-var-data-in' type='checkbox'><label for='data-114c0174-15fe-4d08-a8d1-9424c81a41e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>classification mask for every single pattern and classification_id</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;Sugar&#x27;, &#x27;Flowers&#x27;, &#x27;Fish&#x27;, &#x27;Gravel&#x27;]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "<tr>\n",
+       "<td>\n",
+       "<table>\n",
+       "  <thead>\n",
+       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr><th> Bytes </th><td> 257.61 GB </td> <td> 66.00 MB </td></tr>\n",
+       "    <tr><th> Shape </th><td> (9758, 2200, 1500) </td> <td> (10, 1100, 750) </td></tr>\n",
+       "    <tr><th> Count </th><td> 3905 Tasks </td><td> 3904 Chunks </td></tr>\n",
+       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</td>\n",
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+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-187653ee-5485-4068-9cae-cba402740054' class='xr-section-summary-in' type='checkbox'  checked><label for='section-187653ee-5485-4068-9cae-cba402740054' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>author :</span></dt><dd>Hauke Schulz (hauke.schulz@mpimet.mpg.de)</dd><dt><span>created_on :</span></dt><dd>2021-11-23 14:25 UTC</dd><dt><span>created_with :</span></dt><dd>create_level2.py with its last modification on Tue Nov 23 10:11:21 2021</dd><dt><span>description :</span></dt><dd>Level-2: classification masks</dd><dt><span>institute :</span></dt><dd>Max Planck Institut für Meteorologie, Germany</dd><dt><span>python_version :</span></dt><dd>3.8.6 | packaged by conda-forge | (default, Nov 27 2020, 19:31:52) \n",
+       "[GCC 9.3.0]</dd><dt><span>title :</span></dt><dd>EUREC4A: manual meso-scale cloud pattern classifications</dd><dt><span>version :</span></dt><dd>--</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:            (classification_id: 9758, latitude: 1500, longitude: 2200)\n",
+       "Coordinates:\n",
+       "  * classification_id  (classification_id) float64 2.064e+08 ... 2.15e+08\n",
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+       "Data variables:\n",
+       "    mask               (classification_id, longitude, latitude) float64 dask.array<chunksize=(10, 1100, 750), meta=np.ndarray>\n",
+       "Attributes:\n",
+       "    author:          Hauke Schulz (hauke.schulz@mpimet.mpg.de)\n",
+       "    created_on:      2021-11-23 14:25 UTC\n",
+       "    created_with:    create_level2.py with its last modification on Tue Nov 2...\n",
+       "    description:     Level-2: classification masks\n",
+       "    institute:       Max Planck Institut für Meteorologie, Germany\n",
+       "    python_version:  3.8.6 | packaged by conda-forge | (default, Nov 27 2020,...\n",
+       "    title:           EUREC4A: manual meso-scale cloud pattern classifications\n",
+       "    version:         --"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
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+   "source": [
+    "ds_l2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:            (classification_id: 9758, latitude: 1500, longitude: 2200)\n",
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+       "  * longitude          (longitude) float32 -62.0 -61.99 -61.98 ... -40.01 -40.0\n",
+       "Data variables:\n",
+       "    mask               (classification_id, longitude, latitude) float64 dask.array&lt;chunksize=(10, 1100, 750), meta=np.ndarray&gt;\n",
+       "Attributes:\n",
+       "    author:          Hauke Schulz (hauke.schulz@mpimet.mpg.de)\n",
+       "    created_on:      2021-11-23 14:25 UTC\n",
+       "    created_with:    create_level2.py with its last modification on Tue Nov 2...\n",
+       "    description:     Level-2: classification masks\n",
+       "    institute:       Max Planck Institut für Meteorologie, Germany\n",
+       "    python_version:  3.8.6 | packaged by conda-forge | (default, Nov 27 2020,...\n",
+       "    title:           EUREC4A: manual meso-scale cloud pattern classifications\n",
+       "    version:         --</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b56a7cf7-9288-4be1-9cd2-0a7858a02c8e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b56a7cf7-9288-4be1-9cd2-0a7858a02c8e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>classification_id</span>: 9758</li><li><span class='xr-has-index'>latitude</span>: 1500</li><li><span class='xr-has-index'>longitude</span>: 2200</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6194c9a9-b8c8-4b8b-960c-6e53f1fd1f1e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6194c9a9-b8c8-4b8b-960c-6e53f1fd1f1e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>classification_id</span></div><div class='xr-var-dims'>(classification_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.064e+08 2.064e+08 ... 2.15e+08</div><input id='attrs-b1cce0da-3ea7-4396-9a07-7c7ced7d0343' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1cce0da-3ea7-4396-9a07-7c7ced7d0343' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85a4c947-9bc7-43c3-b6fa-bc0d43e3e3f9' class='xr-var-data-in' type='checkbox'><label for='data-85a4c947-9bc7-43c3-b6fa-bc0d43e3e3f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>classification id (basically each sighting of an image has a unique id)</dd></dl></div><div class='xr-var-data'><pre>array([2.064095e+08, 2.064095e+08, 2.064095e+08, ..., 2.150033e+08,\n",
+       "       2.150040e+08, 2.150046e+08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 19.99 19.98 ... 5.02 5.01 5.0</div><input id='attrs-77df8adc-7b20-4af0-be70-d95ecec52fa5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77df8adc-7b20-4af0-be70-d95ecec52fa5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0734b299-246d-48e5-855e-eedd87baaac1' class='xr-var-data-in' type='checkbox'><label for='data-0734b299-246d-48e5-855e-eedd87baaac1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><div class='xr-var-data'><pre>array([20.      , 19.989994, 19.979986, ...,  5.020013,  5.010007,  5.      ],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-62.0 -61.99 ... -40.01 -40.0</div><input id='attrs-381cb0ba-3291-42db-9d66-c5c9733b3285' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-381cb0ba-3291-42db-9d66-c5c9733b3285' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fca8d83d-0044-48ba-ace3-b626a0c05c15' class='xr-var-data-in' type='checkbox'><label for='data-fca8d83d-0044-48ba-ace3-b626a0c05c15' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><div class='xr-var-data'><pre>array([-62.      , -61.989994, -61.979992, ..., -40.020008, -40.010006,\n",
+       "       -40.      ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e64efc57-93c0-4799-bc91-9c93aedb6ec3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e64efc57-93c0-4799-bc91-9c93aedb6ec3' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>mask</span></div><div class='xr-var-dims'>(classification_id, longitude, latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 1100, 750), meta=np.ndarray&gt;</div><input id='attrs-bcbdffea-c780-4483-a6f1-273fda211f06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bcbdffea-c780-4483-a6f1-273fda211f06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa8c0ec8-b372-461b-a9ad-ff549d35c777' class='xr-var-data-in' type='checkbox'><label for='data-fa8c0ec8-b372-461b-a9ad-ff549d35c777' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>classification mask for every single pattern and classification_id</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;Sugar&#x27;, &#x27;Flowers&#x27;, &#x27;Fish&#x27;, &#x27;Gravel&#x27;]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "<tr>\n",
+       "<td>\n",
+       "<table>\n",
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+       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
+       "  </thead>\n",
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+       "    <tr><th> Bytes </th><td> 257.61 GB </td> <td> 66.00 MB </td></tr>\n",
+       "    <tr><th> Shape </th><td> (9758, 2200, 1500) </td> <td> (10, 1100, 750) </td></tr>\n",
+       "    <tr><th> Count </th><td> 3905 Tasks </td><td> 3904 Chunks </td></tr>\n",
+       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
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+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-966eaf00-09ca-4fcd-a4ce-905629599ac3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-966eaf00-09ca-4fcd-a4ce-905629599ac3' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>author :</span></dt><dd>Hauke Schulz (hauke.schulz@mpimet.mpg.de)</dd><dt><span>created_on :</span></dt><dd>2021-11-23 14:25 UTC</dd><dt><span>created_with :</span></dt><dd>create_level2.py with its last modification on Tue Nov 23 10:11:21 2021</dd><dt><span>description :</span></dt><dd>Level-2: classification masks</dd><dt><span>institute :</span></dt><dd>Max Planck Institut für Meteorologie, Germany</dd><dt><span>python_version :</span></dt><dd>3.8.6 | packaged by conda-forge | (default, Nov 27 2020, 19:31:52) \n",
+       "[GCC 9.3.0]</dd><dt><span>title :</span></dt><dd>EUREC4A: manual meso-scale cloud pattern classifications</dd><dt><span>version :</span></dt><dd>--</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:            (classification_id: 9758, latitude: 1500, longitude: 2200)\n",
+       "Coordinates:\n",
+       "  * classification_id  (classification_id) float64 2.064e+08 ... 2.15e+08\n",
+       "  * latitude           (latitude) float32 20.0 19.99 19.98 ... 5.02 5.01 5.0\n",
+       "  * longitude          (longitude) float32 -62.0 -61.99 -61.98 ... -40.01 -40.0\n",
+       "Data variables:\n",
+       "    mask               (classification_id, longitude, latitude) float64 dask.array<chunksize=(10, 1100, 750), meta=np.ndarray>\n",
+       "Attributes:\n",
+       "    author:          Hauke Schulz (hauke.schulz@mpimet.mpg.de)\n",
+       "    created_on:      2021-11-23 14:25 UTC\n",
+       "    created_with:    create_level2.py with its last modification on Tue Nov 2...\n",
+       "    description:     Level-2: classification masks\n",
+       "    institute:       Max Planck Institut für Meteorologie, Germany\n",
+       "    python_version:  3.8.6 | packaged by conda-forge | (default, Nov 27 2020,...\n",
+       "    title:           EUREC4A: manual meso-scale cloud pattern classifications\n",
+       "    version:         --"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_l2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "65.83333333333334"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "freq.max()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "20"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(np.unique(date_df_sel.user_name))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 2250x300 with 7 Axes>"
       ]
@@ -162,32 +1288,44 @@
     "\n",
     "for d, (date, date_df) in enumerate(df_l1.groupby(df_l1['date'].dt.date)):\n",
     "    date_arr = np.zeros((len(np.unique(date_df.user_name)),\n",
-    "                         da_arr.shape[1],\n",
-    "                         da_arr.shape[2],\n",
-    "                         da_arr.shape[3]\n",
-    "                        ), dtype=bool)\n",
+    "                         ds_l2.mask.shape[1],\n",
+    "                         ds_l2.mask.shape[2],\n",
+    "                         4\n",
+    "                        ), dtype=float)\n",
     "    date_df_sel = date_df.loc[np.logical_and(~date_df.already_seen.astype(bool),\n",
     "                                             np.logical_and(date_df.workflow_name == workflow ,\n",
     "                                                            date_df.instrument == instrument))]\n",
     "    for u, (user_name, user_df) in enumerate(date_df_sel.groupby('user_name')):\n",
     "        class_ids = user_df.classification_id\n",
     "        class_ids = np.unique(class_ids)\n",
-    "        user_arr = da_arr.sel({'classification_id':class_ids}).sum(axis=0).compute()\n",
-    "        user_arr = np.where(user_arr>0, True, False)\n",
+    "        user_arr_ = ds_l2.mask.sel({'classification_id':class_ids})\n",
+    "        user_arr = np.bitwise_and(user_arr_.expand_dims({'pattern':4},3).fillna(0).astype(int).values, np.array([1,2,4,8])[np.newaxis,np.newaxis,np.newaxis,:]).astype('bool')\n",
+    "\n",
+    "        user_arr = np.mean(user_arr,axis=0)  # along classification_id\n",
+    "       #user_arr = np.where(user_arr>0, True, False)\n",
+    "\n",
     "        date_arr[u, :,:,:] = user_arr\n",
+    "    nb_users = len(np.unique(date_df_sel.user_name))\n",
+    "#     nb_users = ds_l2.nb_users.sel(date=date_as_datetime).compute()\n",
+    "    freq = np.nan_to_num((np.sum(date_arr[:,:,:,:], axis=0)/nb_users))\n",
+    "    user_w_classifications = freq*len(np.unique(date_df_sel.user_name))\n",
+    "    date_as_datetime = dt.datetime.combine(date, dt.datetime.min.time())\n",
+    "    date_arr[:,:,:] =  user_w_classifications# ds_l2.freq.sel(date=date_as_datetime)*100\n",
+    "#     \n",
     "        \n",
     "    filenames = np.unique(date_df_sel.fn.values)\n",
     "    filename = find_filename(filenames)\n",
     "    fig, ax = plt.subplots(1,6,figsize=(15,2), dpi=150, gridspec_kw={'width_ratios':[1,1,1,1,1,0.1]})\n",
     "#     plt.suptitle(date,y=1.1)\n",
     "    norm = Normalize(vmin = 0, vmax = len(np.unique(date_df_sel.user_name)), clip = False)\n",
+    "#     norm = Normalize(vmin = 0, vmax = nb_users, clip = False)\n",
     "    for p in range(1,5):\n",
     "        m = Basemap(ax=ax.flat[p], projection='merc',llcrnrlat=5,urcrnrlat=20,\\\n",
     "            llcrnrlon=-62,urcrnrlon=-40,lat_ts=20,resolution='c')\n",
     "        m.drawcoastlines(linewidth=0.25)\n",
     "#         ax.flat[p].set_title(pattern_dic_inv[p-1])\n",
     "#         x, y = m(lon_grid, lat_grid)\n",
-    "        cs = m.imshow(np.sum(date_arr[:,:,:,p-1], axis=0).T,\n",
+    "        cs = m.imshow(user_w_classifications[:,:,p-1].T,\n",
     "                      origin='upper', cmap='Reds', norm=norm,\n",
     "                      extent=[-62,-40,5,20])\n",
     "        # HALO circle\n",
@@ -211,7 +1349,7 @@
     "    cb.set_label('Users')\n",
     "    \n",
     "    cax2 = cax.twinx()\n",
-    "    user_ticks=np.linspace(0, len(np.unique(date_df_sel.user_name)),4)\n",
+    "    user_ticks=np.linspace(0, nb_users,4)\n",
     "    per_ticks=np.linspace(0,100,11).astype(int)\n",
     "    cb.set_ticks(user_ticks.astype(int))\n",
     "    cb.set_label(\"seen by\")\n",
@@ -233,12 +1371,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 2250x300 with 7 Axes>"
       ]
@@ -260,33 +1398,32 @@
     "instrument = 'MODIS'\n",
     "\n",
     "for d, (date, date_df) in enumerate(df_l1.groupby(df_l1['date'].dt.date)):\n",
-    "    date_arr = np.zeros((len(np.unique(date_df.user_name)),\n",
-    "                         da_arr.shape[1],\n",
-    "                         da_arr.shape[2],\n",
-    "                         da_arr.shape[3]\n",
-    "                        ), dtype=bool)\n",
+    "    date_arr = np.zeros((\n",
+    "                         ds_l3.freq.shape[1],\n",
+    "                         ds_l3.freq.shape[2],\n",
+    "                         ds_l3.freq.shape[3]\n",
+    "                        ), dtype=float)\n",
     "    date_df_sel = date_df.loc[np.logical_and(~date_df.already_seen.astype(bool),\n",
     "                                             np.logical_and(date_df.workflow_name == workflow ,\n",
     "                                                            date_df.instrument == instrument))]\n",
-    "    for u, (user_name, user_df) in enumerate(date_df_sel.groupby('user_name')):\n",
-    "        class_ids = user_df.classification_id\n",
-    "        class_ids = np.unique(class_ids)\n",
-    "        user_arr = da_arr.sel({'classification_id':class_ids}).sum(axis=0).compute()\n",
-    "        user_arr = np.where(user_arr>0, True, False)\n",
-    "        date_arr[u, :,:,:] = user_arr\n",
+    "    date_as_datetime = dt.datetime.combine(date, dt.datetime.min.time())\n",
+    "    date_arr[:,:,:] = ds_l3.freq.sel(date=date_as_datetime)\n",
+    "    nb_users = ds_l3.nb_users.sel(date=date_as_datetime).compute()\n",
+    "    user_w_classifications = date_arr*nb_users.values\n",
     "        \n",
     "    filenames = np.unique(date_df_sel.fn.values)\n",
     "    filename = find_filename(filenames)\n",
     "    fig, ax = plt.subplots(1,6,figsize=(15,2), dpi=150, gridspec_kw={'width_ratios':[1,1,1,1,1,0.1]})\n",
     "#     plt.suptitle(date,y=1.1)\n",
-    "    norm = Normalize(vmin = 0, vmax = len(np.unique(date_df_sel.user_name)), clip = False)\n",
+    "#     norm = Normalize(vmin = 0, vmax = len(np.unique(date_df_sel.user_name)), clip = False)\n",
+    "    norm = Normalize(vmin = 0, vmax = nb_users, clip = False)\n",
     "    for p in range(1,5):\n",
     "        m = Basemap(ax=ax.flat[p], projection='merc',llcrnrlat=5,urcrnrlat=20,\\\n",
     "            llcrnrlon=-62,urcrnrlon=-40,lat_ts=20,resolution='c')\n",
     "        m.drawcoastlines(linewidth=0.25)\n",
     "#         ax.flat[p].set_title(pattern_dic_inv[p-1])\n",
     "#         x, y = m(lon_grid, lat_grid)\n",
-    "        cs = m.imshow(np.sum(date_arr[:,:,:,p-1], axis=0).T,\n",
+    "        cs = m.imshow(user_w_classifications[:,:,p-1].T,\n",
     "                      origin='upper', cmap='Reds', norm=norm,\n",
     "                      extent=[-62,-40,5,20])\n",
     "        # HALO circle\n",
@@ -310,7 +1447,7 @@
     "    cb.set_label('Users')\n",
     "    \n",
     "    cax2 = cax.twinx()\n",
-    "    user_ticks=np.linspace(0, len(np.unique(date_df_sel.user_name)),4)\n",
+    "    user_ticks=np.linspace(0, nb_users,4)\n",
     "    per_ticks=np.linspace(0,100,11).astype(int)\n",
     "    cb.set_ticks(user_ticks.astype(int))\n",
     "    cb.set_label(\"seen by\")\n",
@@ -681,9 +1818,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 unstable (using the module python3/unstable)",
    "language": "python",
-   "name": "python3"
+   "name": "python3_unstable"
   },
   "language_info": {
    "codemirror_mode": {
@@ -695,7 +1832,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.7"
+   "version": "3.8.6"
   }
  },
  "nbformat": 4,

From c0578f8356a81a12dae40547c00b8c8f086a59d7 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Wed, 24 Nov 2021 14:07:46 +0100
Subject: [PATCH 31/34] \ Overview figures: adaption to new daily output file
 format

---
 notebooks/create_overview_figures.ipynb | 791 ++----------------------
 1 file changed, 66 insertions(+), 725 deletions(-)

diff --git a/notebooks/create_overview_figures.ipynb b/notebooks/create_overview_figures.ipynb
index cbb90b1..63d7767 100644
--- a/notebooks/create_overview_figures.ipynb
+++ b/notebooks/create_overview_figures.ipynb
@@ -577,10 +577,10 @@
        "    institute:       Max Planck Institut für Meteorologie, Germany\n",
        "    python_version:  3.8.6 | packaged by conda-forge | (default, Nov 27 2020,...\n",
        "    title:           EUREC4A: manual meso-scale cloud pattern classifications\n",
-       "    version:         --</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-27a44306-34d6-4457-a78a-0eaa36a454cb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-27a44306-34d6-4457-a78a-0eaa36a454cb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>classification_id</span>: 9758</li><li><span class='xr-has-index'>latitude</span>: 1500</li><li><span class='xr-has-index'>longitude</span>: 2200</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-19e3649f-f48a-4daf-a835-c8d268281fbf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-19e3649f-f48a-4daf-a835-c8d268281fbf' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>classification_id</span></div><div class='xr-var-dims'>(classification_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.064e+08 2.064e+08 ... 2.15e+08</div><input id='attrs-499bae93-d8aa-4a9f-acdb-adf26764cab9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-499bae93-d8aa-4a9f-acdb-adf26764cab9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-394fcb63-25dc-4aa5-9601-46b1f6cd2614' class='xr-var-data-in' type='checkbox'><label for='data-394fcb63-25dc-4aa5-9601-46b1f6cd2614' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>classification id (basically each sighting of an image has a unique id)</dd></dl></div><div class='xr-var-data'><pre>array([2.064095e+08, 2.064095e+08, 2.064095e+08, ..., 2.150033e+08,\n",
-       "       2.150040e+08, 2.150046e+08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 19.99 19.98 ... 5.02 5.01 5.0</div><input id='attrs-44c8b01e-6f95-43b4-bd6d-1a74a831df4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44c8b01e-6f95-43b4-bd6d-1a74a831df4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f202cb9-ef3a-4405-80b2-f32085f55068' class='xr-var-data-in' type='checkbox'><label for='data-3f202cb9-ef3a-4405-80b2-f32085f55068' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><div class='xr-var-data'><pre>array([20.      , 19.989994, 19.979986, ...,  5.020013,  5.010007,  5.      ],\n",
-       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-62.0 -61.99 ... -40.01 -40.0</div><input id='attrs-a276ce91-1e10-4fb8-8429-1244e035c1f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a276ce91-1e10-4fb8-8429-1244e035c1f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f4fa0d5-2896-4b9b-b889-593b95af4787' class='xr-var-data-in' type='checkbox'><label for='data-9f4fa0d5-2896-4b9b-b889-593b95af4787' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><div class='xr-var-data'><pre>array([-62.      , -61.989994, -61.979992, ..., -40.020008, -40.010006,\n",
-       "       -40.      ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-03f63129-8db8-42da-b79d-fe48822a8976' class='xr-section-summary-in' type='checkbox'  checked><label for='section-03f63129-8db8-42da-b79d-fe48822a8976' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>mask</span></div><div class='xr-var-dims'>(classification_id, longitude, latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 1100, 750), meta=np.ndarray&gt;</div><input id='attrs-07c1f371-ca4b-4f34-8c0e-cef17da65614' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07c1f371-ca4b-4f34-8c0e-cef17da65614' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-114c0174-15fe-4d08-a8d1-9424c81a41e8' class='xr-var-data-in' type='checkbox'><label for='data-114c0174-15fe-4d08-a8d1-9424c81a41e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>classification mask for every single pattern and classification_id</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;Sugar&#x27;, &#x27;Flowers&#x27;, &#x27;Fish&#x27;, &#x27;Gravel&#x27;]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    version:         --</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4ade0a86-e670-41b3-bdec-d86922082a1e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4ade0a86-e670-41b3-bdec-d86922082a1e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>classification_id</span>: 9758</li><li><span class='xr-has-index'>latitude</span>: 1500</li><li><span class='xr-has-index'>longitude</span>: 2200</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1d1ce049-e5db-4b6b-9763-cf6fd23dcb3e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1d1ce049-e5db-4b6b-9763-cf6fd23dcb3e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>classification_id</span></div><div class='xr-var-dims'>(classification_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.064e+08 2.064e+08 ... 2.15e+08</div><input id='attrs-82a222c9-e37b-4b6a-9716-59598d3986e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82a222c9-e37b-4b6a-9716-59598d3986e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91a9d813-2263-4707-8312-071036e2a53f' class='xr-var-data-in' type='checkbox'><label for='data-91a9d813-2263-4707-8312-071036e2a53f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>classification id (basically each sighting of an image has a unique id)</dd></dl></div><div class='xr-var-data'><pre>array([2.064095e+08, 2.064095e+08, 2.064095e+08, ..., 2.150033e+08,\n",
+       "       2.150040e+08, 2.150046e+08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 19.99 19.98 ... 5.02 5.01 5.0</div><input id='attrs-2a5e2e24-f33c-49de-bf64-6cb6e817bee7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a5e2e24-f33c-49de-bf64-6cb6e817bee7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3bb6f45-2ea6-4051-abc1-cefe451e9144' class='xr-var-data-in' type='checkbox'><label for='data-e3bb6f45-2ea6-4051-abc1-cefe451e9144' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><div class='xr-var-data'><pre>array([20.      , 19.989994, 19.979986, ...,  5.020013,  5.010007,  5.      ],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-62.0 -61.99 ... -40.01 -40.0</div><input id='attrs-b08e70fb-b52a-4d27-8b7c-b99ac0659004' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b08e70fb-b52a-4d27-8b7c-b99ac0659004' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df79b7f3-a274-4cd7-b684-22c50fb8bede' class='xr-var-data-in' type='checkbox'><label for='data-df79b7f3-a274-4cd7-b684-22c50fb8bede' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><div class='xr-var-data'><pre>array([-62.      , -61.989994, -61.979992, ..., -40.020008, -40.010006,\n",
+       "       -40.      ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fc57b6f0-9610-4515-a883-c76133b2b66b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fc57b6f0-9610-4515-a883-c76133b2b66b' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>mask</span></div><div class='xr-var-dims'>(classification_id, longitude, latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 1100, 750), meta=np.ndarray&gt;</div><input id='attrs-5fedabab-103d-42ac-83e6-b968bc669d90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fedabab-103d-42ac-83e6-b968bc669d90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4202fe45-5523-484f-8860-4da4557db2fc' class='xr-var-data-in' type='checkbox'><label for='data-4202fe45-5523-484f-8860-4da4557db2fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>classification mask for every single pattern and classification_id</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;Sugar&#x27;, &#x27;Flowers&#x27;, &#x27;Fish&#x27;, &#x27;Gravel&#x27;]</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -678,7 +678,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-187653ee-5485-4068-9cae-cba402740054' class='xr-section-summary-in' type='checkbox'  checked><label for='section-187653ee-5485-4068-9cae-cba402740054' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>author :</span></dt><dd>Hauke Schulz (hauke.schulz@mpimet.mpg.de)</dd><dt><span>created_on :</span></dt><dd>2021-11-23 14:25 UTC</dd><dt><span>created_with :</span></dt><dd>create_level2.py with its last modification on Tue Nov 23 10:11:21 2021</dd><dt><span>description :</span></dt><dd>Level-2: classification masks</dd><dt><span>institute :</span></dt><dd>Max Planck Institut für Meteorologie, Germany</dd><dt><span>python_version :</span></dt><dd>3.8.6 | packaged by conda-forge | (default, Nov 27 2020, 19:31:52) \n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-7341ff7c-f0ee-4bcb-a0d8-fe30653aa60f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7341ff7c-f0ee-4bcb-a0d8-fe30653aa60f' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>author :</span></dt><dd>Hauke Schulz (hauke.schulz@mpimet.mpg.de)</dd><dt><span>created_on :</span></dt><dd>2021-11-23 14:25 UTC</dd><dt><span>created_with :</span></dt><dd>create_level2.py with its last modification on Tue Nov 23 10:11:21 2021</dd><dt><span>description :</span></dt><dd>Level-2: classification masks</dd><dt><span>institute :</span></dt><dd>Max Planck Institut für Meteorologie, Germany</dd><dt><span>python_version :</span></dt><dd>3.8.6 | packaged by conda-forge | (default, Nov 27 2020, 19:31:52) \n",
        "[GCC 9.3.0]</dd><dt><span>title :</span></dt><dd>EUREC4A: manual meso-scale cloud pattern classifications</dd><dt><span>version :</span></dt><dd>--</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
@@ -712,555 +712,7 @@
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-       "  cursor: pointer;\n",
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-       "\n",
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-       "  color: var(--xr-font-color0);\n",
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-       "  font-weight: 500;\n",
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-       "\n",
-       ".xr-section-summary > span {\n",
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-       "  padding-left: 0.5em;\n",
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-       "\n",
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-       "\n",
-       ".xr-section-summary-in + label:before {\n",
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-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
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-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
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-       "\n",
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-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
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-       "\n",
-       ".xr-section-summary,\n",
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-       "  padding-bottom: 4px;\n",
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-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
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-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
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-       "\n",
-       ".xr-array-wrap {\n",
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-       "  vertical-align: top;\n",
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-       "\n",
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-       ".xr-array-data {\n",
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-       "\n",
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-       "  display: none;\n",
-       "}\n",
-       "\n",
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-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
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-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
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-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: '(';\n",
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-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: ')';\n",
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-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
-       "  padding-right: 5px;\n",
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-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
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-       "\n",
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-       ".xr-var-attrs,\n",
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-       "  display: none;\n",
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-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
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-       "\n",
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-       "\n",
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-       ".xr-var-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
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-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
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-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2 {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:            (classification_id: 9758, latitude: 1500, longitude: 2200)\n",
-       "Coordinates:\n",
-       "  * classification_id  (classification_id) float64 2.064e+08 ... 2.15e+08\n",
-       "  * latitude           (latitude) float32 20.0 19.99 19.98 ... 5.02 5.01 5.0\n",
-       "  * longitude          (longitude) float32 -62.0 -61.99 -61.98 ... -40.01 -40.0\n",
-       "Data variables:\n",
-       "    mask               (classification_id, longitude, latitude) float64 dask.array&lt;chunksize=(10, 1100, 750), meta=np.ndarray&gt;\n",
-       "Attributes:\n",
-       "    author:          Hauke Schulz (hauke.schulz@mpimet.mpg.de)\n",
-       "    created_on:      2021-11-23 14:25 UTC\n",
-       "    created_with:    create_level2.py with its last modification on Tue Nov 2...\n",
-       "    description:     Level-2: classification masks\n",
-       "    institute:       Max Planck Institut für Meteorologie, Germany\n",
-       "    python_version:  3.8.6 | packaged by conda-forge | (default, Nov 27 2020,...\n",
-       "    title:           EUREC4A: manual meso-scale cloud pattern classifications\n",
-       "    version:         --</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b56a7cf7-9288-4be1-9cd2-0a7858a02c8e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b56a7cf7-9288-4be1-9cd2-0a7858a02c8e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>classification_id</span>: 9758</li><li><span class='xr-has-index'>latitude</span>: 1500</li><li><span class='xr-has-index'>longitude</span>: 2200</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6194c9a9-b8c8-4b8b-960c-6e53f1fd1f1e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6194c9a9-b8c8-4b8b-960c-6e53f1fd1f1e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>classification_id</span></div><div class='xr-var-dims'>(classification_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.064e+08 2.064e+08 ... 2.15e+08</div><input id='attrs-b1cce0da-3ea7-4396-9a07-7c7ced7d0343' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1cce0da-3ea7-4396-9a07-7c7ced7d0343' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85a4c947-9bc7-43c3-b6fa-bc0d43e3e3f9' class='xr-var-data-in' type='checkbox'><label for='data-85a4c947-9bc7-43c3-b6fa-bc0d43e3e3f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>classification id (basically each sighting of an image has a unique id)</dd></dl></div><div class='xr-var-data'><pre>array([2.064095e+08, 2.064095e+08, 2.064095e+08, ..., 2.150033e+08,\n",
-       "       2.150040e+08, 2.150046e+08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 19.99 19.98 ... 5.02 5.01 5.0</div><input id='attrs-77df8adc-7b20-4af0-be70-d95ecec52fa5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77df8adc-7b20-4af0-be70-d95ecec52fa5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0734b299-246d-48e5-855e-eedd87baaac1' class='xr-var-data-in' type='checkbox'><label for='data-0734b299-246d-48e5-855e-eedd87baaac1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><div class='xr-var-data'><pre>array([20.      , 19.989994, 19.979986, ...,  5.020013,  5.010007,  5.      ],\n",
-       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-62.0 -61.99 ... -40.01 -40.0</div><input id='attrs-381cb0ba-3291-42db-9d66-c5c9733b3285' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-381cb0ba-3291-42db-9d66-c5c9733b3285' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fca8d83d-0044-48ba-ace3-b626a0c05c15' class='xr-var-data-in' type='checkbox'><label for='data-fca8d83d-0044-48ba-ace3-b626a0c05c15' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><div class='xr-var-data'><pre>array([-62.      , -61.989994, -61.979992, ..., -40.020008, -40.010006,\n",
-       "       -40.      ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e64efc57-93c0-4799-bc91-9c93aedb6ec3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e64efc57-93c0-4799-bc91-9c93aedb6ec3' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>mask</span></div><div class='xr-var-dims'>(classification_id, longitude, latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10, 1100, 750), meta=np.ndarray&gt;</div><input id='attrs-bcbdffea-c780-4483-a6f1-273fda211f06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bcbdffea-c780-4483-a6f1-273fda211f06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa8c0ec8-b372-461b-a9ad-ff549d35c777' class='xr-var-data-in' type='checkbox'><label for='data-fa8c0ec8-b372-461b-a9ad-ff549d35c777' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>classification mask for every single pattern and classification_id</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;Sugar&#x27;, &#x27;Flowers&#x27;, &#x27;Fish&#x27;, &#x27;Gravel&#x27;]</dd></dl></div><div class='xr-var-data'><table>\n",
-       "<tr>\n",
-       "<td>\n",
-       "<table>\n",
-       "  <thead>\n",
-       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr><th> Bytes </th><td> 257.61 GB </td> <td> 66.00 MB </td></tr>\n",
-       "    <tr><th> Shape </th><td> (9758, 2200, 1500) </td> <td> (10, 1100, 750) </td></tr>\n",
-       "    <tr><th> Count </th><td> 3905 Tasks </td><td> 3904 Chunks </td></tr>\n",
-       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
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-       "</td>\n",
-       "</tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-966eaf00-09ca-4fcd-a4ce-905629599ac3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-966eaf00-09ca-4fcd-a4ce-905629599ac3' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>author :</span></dt><dd>Hauke Schulz (hauke.schulz@mpimet.mpg.de)</dd><dt><span>created_on :</span></dt><dd>2021-11-23 14:25 UTC</dd><dt><span>created_with :</span></dt><dd>create_level2.py with its last modification on Tue Nov 23 10:11:21 2021</dd><dt><span>description :</span></dt><dd>Level-2: classification masks</dd><dt><span>institute :</span></dt><dd>Max Planck Institut für Meteorologie, Germany</dd><dt><span>python_version :</span></dt><dd>3.8.6 | packaged by conda-forge | (default, Nov 27 2020, 19:31:52) \n",
-       "[GCC 9.3.0]</dd><dt><span>title :</span></dt><dd>EUREC4A: manual meso-scale cloud pattern classifications</dd><dt><span>version :</span></dt><dd>--</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset>\n",
-       "Dimensions:            (classification_id: 9758, latitude: 1500, longitude: 2200)\n",
-       "Coordinates:\n",
-       "  * classification_id  (classification_id) float64 2.064e+08 ... 2.15e+08\n",
-       "  * latitude           (latitude) float32 20.0 19.99 19.98 ... 5.02 5.01 5.0\n",
-       "  * longitude          (longitude) float32 -62.0 -61.99 -61.98 ... -40.01 -40.0\n",
-       "Data variables:\n",
-       "    mask               (classification_id, longitude, latitude) float64 dask.array<chunksize=(10, 1100, 750), meta=np.ndarray>\n",
-       "Attributes:\n",
-       "    author:          Hauke Schulz (hauke.schulz@mpimet.mpg.de)\n",
-       "    created_on:      2021-11-23 14:25 UTC\n",
-       "    created_with:    create_level2.py with its last modification on Tue Nov 2...\n",
-       "    description:     Level-2: classification masks\n",
-       "    institute:       Max Planck Institut für Meteorologie, Germany\n",
-       "    python_version:  3.8.6 | packaged by conda-forge | (default, Nov 27 2020,...\n",
-       "    title:           EUREC4A: manual meso-scale cloud pattern classifications\n",
-       "    version:         --"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds_l2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "65.83333333333334"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "freq.max()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "20"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "len(np.unique(date_df_sel.user_name))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -1302,29 +754,26 @@
     "        user_arr = np.bitwise_and(user_arr_.expand_dims({'pattern':4},3).fillna(0).astype(int).values, np.array([1,2,4,8])[np.newaxis,np.newaxis,np.newaxis,:]).astype('bool')\n",
     "\n",
     "        user_arr = np.mean(user_arr,axis=0)  # along classification_id\n",
-    "       #user_arr = np.where(user_arr>0, True, False)\n",
     "\n",
     "        date_arr[u, :,:,:] = user_arr\n",
     "    nb_users = len(np.unique(date_df_sel.user_name))\n",
-    "#     nb_users = ds_l2.nb_users.sel(date=date_as_datetime).compute()\n",
+    "\n",
     "    freq = np.nan_to_num((np.sum(date_arr[:,:,:,:], axis=0)/nb_users))\n",
     "    user_w_classifications = freq*len(np.unique(date_df_sel.user_name))\n",
     "    date_as_datetime = dt.datetime.combine(date, dt.datetime.min.time())\n",
-    "    date_arr[:,:,:] =  user_w_classifications# ds_l2.freq.sel(date=date_as_datetime)*100\n",
-    "#     \n",
+    "    date_arr[:,:,:] =  user_w_classifications\n",
     "        \n",
     "    filenames = np.unique(date_df_sel.fn.values)\n",
     "    filename = find_filename(filenames)\n",
     "    fig, ax = plt.subplots(1,6,figsize=(15,2), dpi=150, gridspec_kw={'width_ratios':[1,1,1,1,1,0.1]})\n",
-    "#     plt.suptitle(date,y=1.1)\n",
+    "\n",
     "    norm = Normalize(vmin = 0, vmax = len(np.unique(date_df_sel.user_name)), clip = False)\n",
-    "#     norm = Normalize(vmin = 0, vmax = nb_users, clip = False)\n",
+    "\n",
     "    for p in range(1,5):\n",
     "        m = Basemap(ax=ax.flat[p], projection='merc',llcrnrlat=5,urcrnrlat=20,\\\n",
     "            llcrnrlon=-62,urcrnrlon=-40,lat_ts=20,resolution='c')\n",
     "        m.drawcoastlines(linewidth=0.25)\n",
-    "#         ax.flat[p].set_title(pattern_dic_inv[p-1])\n",
-    "#         x, y = m(lon_grid, lat_grid)\n",
+    "\n",
     "        cs = m.imshow(user_w_classifications[:,:,p-1].T,\n",
     "                      origin='upper', cmap='Reds', norm=norm,\n",
     "                      extent=[-62,-40,5,20])\n",
@@ -1361,7 +810,7 @@
     "    \n",
     "    plt.tight_layout()\n",
     "    if savefig:\n",
-    "        plt.savefig('../figures/VIS_dailyaverage/EUREC4A_ManualClassifications_MODISAverage_{}.jpeg'.format(date.strftime('%Y%m%d')),\n",
+    "        plt.savefig('../figures/VIS_dailyaverage/EUREC4A_ManualClassifications_MODISAverage_{}_{}.jpeg'.format(date.strftime('%Y%m%d'), mode),\n",
     "                dpi=150, bbox_inches='tight',pad=0)\n",
     "        plt.close('all')\n",
     "    else:\n",
@@ -1371,7 +820,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -1476,7 +925,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "metadata": {
     "jupyter": {
      "source_hidden": true
@@ -1485,7 +934,7 @@
    "outputs": [
     {
      "data": {
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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 2250x300 with 7 Axes>"
       ]
@@ -1507,35 +956,45 @@
     "instrument = 'n/a'\n",
     "\n",
     "for d, (date, date_df) in enumerate(df_l1.groupby(df_l1['date'].dt.date)):\n",
+    "    if d < 9: continue\n",
     "    date_arr = np.zeros((len(np.unique(date_df.user_name)),\n",
-    "                         da_arr.shape[1],\n",
-    "                         da_arr.shape[2],\n",
-    "                         da_arr.shape[3]\n",
-    "                        ), dtype=bool)\n",
+    "                         ds_l2.mask.shape[1],\n",
+    "                         ds_l2.mask.shape[2],\n",
+    "                         4\n",
+    "                        ), dtype=float)\n",
     "    date_df_sel = date_df.loc[np.logical_and(~date_df.already_seen.astype(bool),\n",
     "                                             np.logical_and(date_df.workflow_name == workflow ,\n",
     "                                                            date_df.instrument == instrument))]\n",
     "    for u, (user_name, user_df) in enumerate(date_df_sel.groupby('user_name')):\n",
     "        class_ids = user_df.classification_id\n",
     "        class_ids = np.unique(class_ids)\n",
-    "        user_arr = da_arr.sel({'classification_id':class_ids}).sum(axis=0).compute()\n",
-    "        user_arr = np.where(user_arr>0, True, False)\n",
+    "        user_arr_ = ds_l2.mask.sel({'classification_id':class_ids})\n",
+    "        user_arr = np.bitwise_and(user_arr_.expand_dims({'pattern':4},3).fillna(0).astype(int).values, np.array([1,2,4,8])[np.newaxis,np.newaxis,np.newaxis,:]).astype('bool')\n",
+    "\n",
+    "        user_arr = np.mean(user_arr,axis=0)  # along classification_id\n",
+    "\n",
     "        date_arr[u, :,:,:] = user_arr\n",
+    "    nb_users = len(np.unique(date_df_sel.user_name))\n",
     "\n",
+    "    freq = np.nan_to_num((np.sum(date_arr[:,:,:,:], axis=0)/nb_users))\n",
+    "    user_w_classifications = freq*len(np.unique(date_df_sel.user_name))\n",
+    "    date_as_datetime = dt.datetime.combine(date, dt.datetime.min.time())\n",
+    "    date_arr[:,:,:] =  user_w_classifications\n",
+    "        \n",
     "    filenames = np.unique(date_df_sel.fn.values)\n",
     "    filename = find_filename(filenames, 'ICON_albedo')\n",
-    "    if filename is None: continue\n",
     "    fig, ax = plt.subplots(1,6,figsize=(15,2), dpi=150, gridspec_kw={'width_ratios':[1,1,1,1,1,0.1]})\n",
-    "#     plt.suptitle(date,y=1.1)\n",
     "\n",
     "    norm = Normalize(vmin = 0, vmax = len(np.unique(date_df_sel.user_name)), clip = False)\n",
+    "\n",
     "    for p in range(1,5):\n",
     "        m = Basemap(ax=ax.flat[p], projection='merc',llcrnrlat=5,urcrnrlat=20,\\\n",
     "            llcrnrlon=-62,urcrnrlon=-40,lat_ts=20,resolution='c')\n",
     "        m.drawcoastlines(linewidth=0.25)\n",
-    "#         ax.flat[p].set_title(pattern_dic_inv[p-1])\n",
-    "        x, y = m(lon_grid, lat_grid)\n",
-    "        cs = m.contourf(x,y,np.sum(date_arr[:,:882,:735,p-1], axis=0), cmap='Reds', norm=norm)\n",
+    "\n",
+    "        cs = m.imshow(user_w_classifications[:882,:735,p-1].T,\n",
+    "                      origin='upper', cmap='Reds', norm=norm,\n",
+    "                      extent=[-62,-40,5,20])\n",
     "        # HALO circle\n",
     "        x,y=m(-57.717, 13.3)\n",
     "        x2,y2 = m(-57.717,13.3+1.011) \n",
@@ -1545,7 +1004,7 @@
     "\n",
     "    ax.flat[0].annotate(date, (-0.2,0.2), rotation=-90, xycoords='axes fraction', fontsize=15)\n",
     "\n",
-    "    # Show animation image:\n",
+    "    # Show AQUA image:\n",
     "    img = plt.imread(path_to_ICON+filename)\n",
     "    ax.flat[0].imshow(img)\n",
     "    ax.flat[0].axis('off')\n",
@@ -1557,7 +1016,7 @@
     "    cb.set_label('Users')\n",
     "    \n",
     "    cax2 = cax.twinx()\n",
-    "    user_ticks=np.linspace(0, len(np.unique(date_df_sel.user_name)),3)\n",
+    "    user_ticks=np.linspace(0, nb_users,4)\n",
     "    per_ticks=np.linspace(0,100,11).astype(int)\n",
     "    cb.set_ticks(user_ticks.astype(int))\n",
     "    cb.set_label(\"seen by\")\n",
@@ -1586,12 +1045,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
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1RoVloyMcfnI/YSvmsa98l4G1/RjrkA9ypGHE5PZDJNUGnheQWIPnOKQepGmKq1xMYlCA9h2y2Sz1ZoN1Z2xhfPII3d0d1E1Mee84m998GUnSJMkU0a5HpjLB9p172PRHf4jX6eMkQL3MfDli8PTVUAmplKtks1lm943j+j61UoXBravo8Fy85ctpZvOEX7gK7VnSNAXAcRVJArlCHn95N87AWnJ3X4959buwW3tx0IQ2xjcpnHMeq8IGB795MxaNq1zK4yWcKCaequNmAlQ+S6sesfbtb2fXjd9j3kLSjBg6ayu7j96GaxOIXeKoibYaXzmojKYTRSUOiQ82KLx6Hb0XnU9/2mTb576KTQ2VuTK9hTy1So3U06jYoLQGrUG1w1+OtoBCuQpDiuPohfeZhWQhbGYNbsalVa2TTQxhEhO6DqvecQlO93KioUGWVe5l8r6bmbj1VvCyNAIf20wxWIJMhsHf+hC23sBc+01mH9sLSmMVKNfBtqIfvZfbY0ro6Cxy6K77GD3rNMbHDtPZ30HTccmnXQRBiNuICT1Fg5h8E7a86UIeuuVOAptS7OmiOlfGZh3icoPJMCJXLEDGIZkpoXIZ0iQhTczCMUFri/JciFPUQqY1TVOsagdfhtavojHcSfzYGKGJcGIDacL8+AzadUjjBGVAocBZ2KdzIq+oQgghhBBCCCGEEEIIIcQzHMPAynOGrSSEdWxISOvfkNDa4pHKL69sJzr88rfAW4BVtKu23KCUerO1tv5Cd2CtHVdKPQqcDrzquIzyBQh9RXKwhEosVimMtnQVO6jVamAMOuOhkpR0okYSJe0P5JN25Q+ANLFoq7FpitGmHQpwNUopwjQhmw2wGioTVSwJBs3hvYcZHOol07+S+fEZ6pNV5pMqWkOuI8vhu56g8IYOTKXK8l/5eQInolE6TCuu03rwUfx1G0jnS6wYXcHgb14BT97Bvn/+F1TSQOUCogO7CZTDisvfjbd+M40n78NdtQWnBbiale+5gqh3E6nr4jTn0fEc9b5VuP/7f9Dxjg9gOpYzML0be80/c+DKb+H7GRxrCOdD5ktzNG8cZ9Vv/yY2cVDjT+D0rwdTwygXZSEJDSbbhWMS4mwPjhtjbRMvbQc3vKSJVgmu9pj+yl9QHjtMYaCX1tg0yodskKUZN0i1ws8G2Cil2YgwUQlrFZCS68gzs+8wvvJwXZdmVCewPoXuDtJSgptxyHR2MLhmFQce2U48E7J/bgwFZPMuYRwyV53FiTW2FpO2EpLE4AQeKuPhkOA4LuF8TLYQkEQpCouXK5A2Q6JGE20t5fIsfpgSd2QZ7B1k4tG9VGvTeOMtbApp30nUZ+Y5+UMfxSqXWDsQ1QlNyuDPXUr/po1o5dEb1ihvu53BDYM4jQSbzRBVWwS+IX/uheRVL0fz1xBVY4yyNAsOWy67nEP/chWxSRg+dRPbPvIHGKVZ/tguquUZ1vzW79NMQc/sYPf/vp7KZAkn0eguB5vV9HldzB2dwUkT0gbEew4xtu8AZ/zuKdQOz+MeLOEPdlM0ir7eHkp2Ds8C1iVutkga7dd75qRBqvuPYN2U2p7dxOvW0J2UiOdrFHsK9KwbpvHkIWwKrtHEGJQDaZKilMb1Fm5fC++jnv4+yuUyygHXcYnjuD3ZWgomTsj1dxE4LqpeIxjqJbv5NBKbxSl0EI+uYOIfv4Lb1ODF2NkWxhocx6HZbFK952ZM1KCvq5sZkxLkfapxjdzmk/G376XZbFHI5jCOoW/zKN5AL2m1Rjw5ReC4RGGCikOi2jw9rz6b0j99lzSjKSzvpbZrgicff5xsogkbdSLqFFYNMXjaVmbufIBwvkmj0UBHDqEDrqvIFIokSUJSa+K4DoHn4HgBSSPEKA1J+7nCABq6Tt9KfuPZhBen6Fu/zcSO3cTTEfg+cRi1q8R4Lkpr0jBaCL4sdBZCCCGEEGIJMId3L8px9ci6511/vKbPkumUhBBCCPGK8goPJ9jFHgDt/2p/SaQqiBDiBHGl8Msr2okOvxwELgRuBtYBFwDfU0q90Vpb+yn2cy9wGrDp2A/xhXEqFnwXYxNc18FaS6VSxXc94jQmbcXtz40ThYl+/E8TvTBdiTWW1LYrcWjdbjMogoyHqz1UqgkbIcW+DpphA1dBoZhjbrxKUG4QNRPynXmcwKHZaBJHKVoHTO3cz8hFZ+MNr6Bx49UUL7mQyo4pMn1dzH/7e6RJTKtUofSXf0/WV5QbVXqWDxC1Wozd/DCnfqCHZO9uDj50Fyv+428T2Rzla7/Lil/+ZeL+LZg4woljjNW0skMUDz1C/YrfI6uzmJkxzN030HH55Wx8by+P/e7v43bmSKt1Wr0dqOkaadBLmNE4Xi9JbbJ97n4ek+/FyRkS5aCUQqchloWpgoxFOR5pJoc+9CDJ5ByF9/8W/a2IqBXS+KM/JgJiHZPtztGYaxC3woWqH5bYxLiuS9dJfVRnq2TyOVrlJihFbFN6VvaRujnyIylzs7NUpuZpze8gbiUAuMolcQw6cFn1tteQC1ycZsi2b9yKjsDxXZxA4+d98sUeas0ap5yzlQM/fIIkiRhetYK+DSex7Xt30L16OfVd08ztmSLozWLnKkxPVdFZD71mIx6daBORzlcxG04nJQXPQccpqZ/F6xyif2sBR0F9/yNkjozRve5VJPOz+CetwW00sJHBDAzQqFSo3/h1cq5PpFv42uFV//3PGPvHL+Ov6iFnArZ//Qb8pgIdM7X/EKrS4qH/8l9Jsy7Dp2+iPl1DN2NwHTJdXaz6yO+RVJvUP/3XmFpKK26hR4ZZfsEWHv27rxAYReQ4DJ2yiu13/hCvmWCSFLSP7gwYWX8SkwcOQktROTyD63kok4K1tG64gd1zZVzr4nkelQd2Y3FwPBcTpvgZD53VhJUQx2jiJEE74Hoa7WoqcxWUVYRhiOd5+IFHagxRFONnMtg4ItKWVLUr2DA5gS50owsB+669jpz2SL2UXC5H0w0xtSau67Ds3C0c/vYtBDkP2z9AGlkaJsJ3NcnDT5LGCV0D3WRGesmuPQm/o4A5PEFtusTAW9+O//Dt2FweN9VMRQlq2Wb08M2ogzVaExWWn7WW/Bvexs6PfwodeDhhRH18lvqKGTrP3ERpz0H68nmKZ53M3q9di9vfSfnwFG7Uvo5Y15IYMGmE1apdwUVrLO3KMEopnrzy27j+daz/0G8zeXiG4opllOZ2tyskaYVStj2VVJz8+BrneMTpjx+LE6T109wKl44X+gu6yhSO6ziEEEIIIYQQQgghhBBCCPGzS8u0R69oJ/zP+q21R2gHYHYuNJ0P3KSU6vgpdjO+sOw5lmP7qXgKT4GTcfDzPjrQ5DsKJCbF8dpTEunYwcbm33RLkoQkaX+grFyF47TnFlFKYYwhjiKSJCVOQjRQm6/QajZxs+0P8rULtFIU7dBFpVRpT7mSWnKFDNMTk1RXbID5CrM795N0ddB15uuZ2rOXaGyCqdlZbDZgbmKK6u5plr16E6WZEkevfRgbBlSq80zct53yExOY7Y8STY2x7MzVJD0nYUx7nKnSBDM70Y9+H7ry6KhO01qq3ZvhrR9Gzdd54iP/hbQZkunMEgwXWdk1zPpf/zXGb/wSrgGvXsaqhCTThXYDSGLSNEbHLRyToHQ7BGPDJk5UxUka+NO7sPWEoL+XfZ/5c5782J9y8OMfI/IUhXyeTCaglbRIMTiOS9dAJx29nSijSKsJ5T1T2FpIfaJKGhpcx8HNuNTdlJPe9x76LjiTVi3E0ZZUpT+q0mOcFE3CxjddgnvpO/G3ns/hR3bi+Q7KTdBakyiDbRkmJiZohBG7b3uQeq2Jk7ocPTjO4W078PAxh2YJBnIUihm07xFFCVGljnUhvPtO0vJRGr5P2t1D+dv/jJ+kmEoDa1rt14kXYHIdkO+huHIL7iXvRXX04G6+kCTbTTw4iuroRLlF3GqNzhVD9J2xkcDz21MuPXA7Q+95J/FEldruo9g4JvYTvMAlW/RQnZ0Yq8gmGcp3PklSC0mti5/x2PAf3seRr19F+ZZvkZiYViPEwYHxo1Suuoe0HOEHDq6Bgzc9ysqNJ5HWI3wvQ5gaTLlOx9bNeI5LttcjN9iNwtK1aQWFngJRuUTSjEhiqBydIVEOURoRhxEplkSl1Ot1jE5QgcULXLTvtd83rZgoigjjFq7vkNqEMIp+NNUTgGnEZLs7IevTmphl7zXfpHTgSRjbT5eTp+fkdWQLeaKiJreijw2/9AYKg93MPX6ADJpqpcGRXQewCpI0wmmC4yh0f4FYWUr7xqnt3EP1nseozJYYPmUryfbHcYt96GVDjD+xm+RQmfCRB1j1S79KUsySNBv4wxsgKUB3lvxAF8maZazYOIo+81yc7j763/IWotFRtn/p6yStmPKBCbRyUM5CFal6SKvaoDUforVGa7DKtK9BWi/MbWggtjz2rW/Q8673kutfToTBtQpfKWzGo6u7G601OHqhn0M+nz+ul1EhhBBCCCGEEEIIIYQQQgghjhW9SF/i5eFEV34BwFo7oZR6HfADYCNwDnCzUur11tq5F7ALZ2EZH68x/iSn//0nKF/1Tfbd+gCxich0BISVFp7nkqZpOyRCinVo/8n7wmfw1lq0dkGl6KyHr1zCMES7Dk5qSTQEKHo3Lmd63xEcqxl63dnM3PUkWnv4XoukaSguK5JUGvjKI8HgeuD35/CmWmQP7cCsXseKP/zvsHc7O/7h0ySNOikuXssSzZfwFKSepn5gDuYTjDXYOGH31T9gcFkfg+tPwnUMzuqzCEc2g4kJkimisW0ceegRei59Gx05BS2D8h388lHyvk/42M2wbgtDp6/i8H27KO0ZJ+9kyL6xh7Ev/gN973oj3tQBWsrD9AzhpilojWsSEt2+NBjtoOYnSWuzeF1DWFKMDrC5Xrxynf1/9w/YUoO0FeH0FcllcljXIZ6rkbTAUxqnx8XLZ6kdnSGKEhzt4CpFVEtxXA/H0aRpik418zuP8vBffBJfWZJGREdfD41aFWsMoLCuInAUdnQY9wffYOej2wkPzNEKU7KZPIYYxziEjQr5oW5GRkYY27YT30lZcdo69j6yi7lDM2jHYT5N6XLyqLyDVeA0FW53EbeRMn7Vdzl5qJe0dAhvzflUd+xHf/3/x/MCwmqZwgf/iNQPsG6GJImwQQdKBajePMZYXONhmxEYg5rahd8zAofGCE2K05+lv3eQ3NmXUr7tagpuQFXH0LBkunOkcUKrFJEkCdmOHD5Qq8UU/Cw1G5IfLFJ3PWyjxODajUz84MkfvZ6jJpiwiRO41OOEtWdsZu/jO+nq7mV/h4/bjNGuQxpbdn7jOrJ9RUbe9QbcuXlCItLpSbw0T6XRxDs4h40saAetNR2DfaStmEatSZJGuEbjuu3KMPVaEzdwcXyHNGq/wTzPI9edp15tQJKisz6KdjBGa015xyG8fIZGFKHdgMod9zNfu4PMYD/5TRuI+rop1hp4q9bjrdnC0CmvY/7Je5j40rfIOgEx7So1juMR+5bO0RWEMyWiZoQxBh2CynmApTo/x+zeg+hqC6VSwqZh2SnrmD24k7G77mDk7FNo7TrCwXtuZ2ByDyNnbqC4/hxCM409NIPuHqK5Yyducyf+dJnOoWGiUpWkkeJFKTGmXTnJaT9XxhgwP769aq1RC69zqxXa06xbOUqSyTFz89142kGpdjhGxZZmswkYPDRuMY/jadRA54m6pIoFtvJCboFLz7/LWUuFFyGEEEIIIYQQQgghhBBCHGNaCr+8oi1aEMlaOwFcBDxOOx5yBnC7Umr5C+h+6sJy+viM7idr7B2jpy9D56p+svkccS1CpYrEtj+Qdn0Xx9M/mpZFuQrHVTgZjS4ogpE8ToeP7vJwci6piagNufhdAcmIh796GH3JJqLAoXLXDqKohe2A/tdtxuYcTGxIdbtCg6cdrFF43UU6Nq7EnS5Tuu026t/4HPs+/y9kThtl4/teT2RTVCslse3pl4KuPPOPHYIkxVqL3+2x7vWvIfeGi4hOew0Mr6PYmiXyFLldd2Juu4adn/kKUZCjI22SLDuDRkcvTqZIyy+yPSzirzgVIks+10VmqIjr+KQejF1zM8oJ8KpODnAAACAASURBVAtFlJ8natRxavOohVdgYlJ8E6OiGro+C0A6srVd+aMyTWX3/RCn0CgRRQ3SMCLf3UliU+Zn5pkfmyWaiwhch/51wyTNhMkD42Q6cvieg7aW1Fr8vIebcbAuZAcKDKwYJuc5JNWIJLZkXZ9GrcrAyauwSuF6mu7RYdb+2cfZ/8kvkznnUjhcZt07Xk0hH2BUhOu6tGzImstei1MLOXzkCMt++Q0kSjE1fhTXVyhP42YdPMdlfmKW8mSJfCZLQkToWkYuPB1jXR7/wpVM/NPVpDd+jSYZDj26m1K1QvqGy9BKoeqz2PoMxvVxXBdlDaQJjrW4zQZOoQh93ZSuuZbSdV9j9023Mv7AYzjlkDCq8+h/+yiTtz7KXFjFBODmNI1ak7AaElVC4lpMPB8SxQa3WMAEiiTn0XvReYxffy3x3DwPfv2GdjBImfY5eR4mBROlEChKk1OYyLDte3dBmBKFhiSK2wGw2BJO1tj7xW+QHp5kz/fuorO7l0q5TJrxcYsZgm6foCtHqlNKU6V28MXE+EFA2IxIjKFRbqK1SxqlxGlEtiMHgEkslekqSRiTy+bJFPJ4mQAFpLEhMu2qSq6j8FKNkyrSKGV65xhTX7+e2rYn6BwaJAgbxNkcqevTt2YDad7Hywe4voMXuKAtmbxPEkZ43Xl838fvymOMobz3ME6imdu5n9ZEGd/1aE7VcbMeh+55hMr2/fR395PUKgyedwbZjMZZdzozNz+KyQfonhWUHttOdmIP3a86h+Kq9czuGKP3jZdy0lsuwl/Wi8q0Ay8EDq7r4njtSjAGg+M5OI6DVRat29WlXNUOwey47R72/uXHSE0MtAMzEQlWGUITMbRlA8NnnUbfqmUs/42PMPC+/7wo11chhBBCCCGEEEIIIYQQQgghflpLvfKLUupcpdQ1SqkZpVRLKbVLKfVxpVTuefq8Xyn1Q6VUTSk1p5S6Xil1/jEc1pKxKJVfnmKtnVZKXQzcCJwGbAZ+qJR6p7X2vmfro5RaDbyF9h+SP3TCBvsMhTimMrKVjiNzNPZPk8kWiXSd/jPWEfiWo9v20tE7RDhRolpq4gUuiUlxHZeEmGQ2QnlQGOgnbKW0NARHDaFt4LbyjFUf4KQzTuFgFFNrRCilqO0vo8KUYHUf8b5yu4qMslg0QU8OL1dg+dYtPHzlv5LONQlwyfbkGTl1PU9+5ip0ArEC7bSnXJo/WsLXDqkC5Sm6N4/QcenbIIqJfZeGLpCdnSC46xp23b+HKIrAdRgoV9CmRu2rn6FVn2PZaZvYu/kKPnnPLF98ncPRT3+croEBMialY6iXZmkaSk16fuMKWm4et5jFrjybMGpSiObQxiXyE8Zvv5HBC34eFZcwnoPXmMfk+1HZPgq9IzixJV2xhcIpm2ht34dJDGYuIusGxDrCKotxLHPlOdIOHxVCs1HD68pgI4UxCcXeblLTotDZRabgMvHwYVppiHI1mUKG5nydvJdlctdYO7SkFLUDk0T1JkO/dAmNu79Pceso+66/m+JADzUTw2yVLb/98xz4/75JSwOVhOoDT5Ab6aF+aIaVp2+kQUp9/yRxGGNaEV7eZ356lnxHkRWnbmbfTT/EWoWNLOW4TnzzPXiru1h/7s8xc9e9qG13U7n+W3SefgrU6/i9LkdDl+6Vq7HzVYI0oTx5iAO3P4Ifh2Q7i5y0YRTvwjPIveo8Dv/V56mW6oxsXkNkUpI9hzH1FiNnbeHwvU+gtUdkE/A0XtanUWqAk6JTix7I0TowiRMmzB6cIGNdYgvZjgxuR5ZYpXixxdRCbNNQrzQYGB5ibqaMjRpYq9uVjnyPBIujLBGK/dt30TswyKHH9rHs/PPoXzVC+f67GL9vJ2a+jonA9xzSwEXVDc16i0JPgVwmTzWtoRxwMj5xmtCs1tAoVODSN9xLpVIhShOchgVrQCkyOZ96EqIyGXKrhmjsPEK10SKNEyyGRmfAul96P3uv/Cob3vMfSOOYZGqCOJ1jcHgAuvI0o5Dq44eJnYCkHlO3M/QN9pFa6BkZZm77GJG1lA6Mo4yFJGVufBpQ6FbC4NaVZF/zRsI4pLN7mJqJ6DrHUujMEl1wOgf+15cJCpplWzYy+d1b8LeMUly7luH3vodW2qIa+Kw452wmbrmDwfPWM3bXI/iOwlqL4ziEWIJ8Fi/I0DXSRfnINKZUw2gHC/iJQRtNrCxog3IV2liGNq4hqZZppjW63vQr+M0yBosTJot1iRVCCCGEEEIIIYQQQohXPFuv/PuqyovAvsT+L/YcbNh4iUd+mufYl61Xjt0xXsGe9WccPOdn9UIcN/plcdV8cZRSVwBfpj0LzoPAQeAs4P8G3qqUusBaW31Gn78CPgw0aWcuMsDPAa9XSr3HWnv1CTyFRbeo4RcAa+2sUuoS4Hu0f3hDwK1KqU8Af2GtjZ7aVim1AvgW4C00fetEj/cp+266Bmbr1Kqada8/g/laQnFwANPTTWbLmWTOeZKjX76KermF43vEcUyxu0Cr2SRjM6Rxip/1mDgyST6CCDBYtOsxsmaEfdv3seeGhyEEq1P8YkBPTxc9ywawHT6Hx8ooC6nv4CaKqNWg8PqLKUURTjNG64AoSbHTdQ790/VEMRgHXEehtCaNUxzlkngW5WhGzzuV3qEumk6G8K7v0LVyDfT1oScOcDjUZHqLLOvuo3LkKNUjR+gpDtPzy79GKd8NNcOw0vzLpU0OfeFvqWy6iM73fJBf+9wTPHHXPbzu1Vv48jt83F+8EqcRce8dn6M3hRW1x0n276D86AMUNm1lKGrB3jtxl60BJ4eJ53Ech7QyRXXnI3innktz5yMM9vcRHp5m/tAEru+RC3KEXkir0cAJXFSqSedb5Aoaf9Uw0eEScZTg5V1yJ3WQPf0iOgu9lPfvRe0bxy176Iwms6yXJIlJHegYGKR7yyi5cszOXdspX3MlPetHMMU8QwPLmWzuwMQR4ew8a157FuNXfx9jwbQilp28jsCB8dkShUKBqXKZYjZLLpejGVbwR3ppzVaImym5Lp/JfQcJU9O+GBuF7zms++PfITUZxrfdTceWjUx+/y76e3opT40TzlUoXb8H3Zml81XzlB7dgY4tpbkKnmPJFTuoT5R44nt30rmqj+ruQyy79GweuvJ6Kg+WGFy9ko5ikUo94uC2XeSX9TF3dIbObJGw2aRRauBphySnoQ7ObMT8jn0056q4xqV34wqmD04wsmE1hw7uR1VT0ryDk/VIohamFVFfpUnLNdaffRqVI1NMHZ0m39dJtqNAc75KfXKecL6J19FCVSOO3H4n5toWTdOkr7OHeKCL8Mgc3uoBZu7fQ8b10MUAx2rKs2WsMaTGMNgzSKNSJXINytPoxFKenMV1XZTvYl1Ns9ki6/nEaUw+myUNYwZ6eikvjxjffZBsNkOQyxJGEdXH7oVDdXZ/4bOs+4UroNhBtPMQtaJHuPsAHcv7WPaa0yms30Tp1ltpqJTWXA2rLZMP7MD1PUgSUpUSxzEa1Z7eqtOjb9NqsidvgmWjdIZN6tUaOvDILR/FPHQn5d1jrHjv+3AKnSS33EhpchJ3apquk89h6ttfo+ucrWRHTyUee5zulSMcvOVBHAMUM+hWjAp8+vs6GLnivVR37SezcRN9foHKvTey/477yToeyhhMnIC1YDXa1fStXEZp7yFG3/1mor6NaO1Tn54g2yijtpz6ky6FQgghhBBCCCGEEEIIIYQQQrwsLNVpj5RSI8AXaAdfPmit/dJCewB8FXgP8EngN5/W52LawZdZ4Dxr7e6F9vOAW4EvKaVutdaWTuCpLCpl7UvNa76AgyiV0g79/YG19lPPsU0RuA54NT8OCM4ttB0BVgFvA56KCY4Bm54ejjmRpiambceNf0t0tI5z/im0oiazt99Dc2yGIAFvoMiaN1zAo39zNfU4IigEWGtRCfStG6I8OcP8kSq+dnD7AqJSk7AVkcvl2lORtFJMmGIVZDMuxle42QDPtfStXc7UTAlKEX6gyAWGgV98J8GarbizYzzy11/GNg0mBeWATX88bqUt2nFwjSbxQLkero2oZRVb3no+HedcxsyOewlvuY/QNTiVFk42YPk7L0d1jZD4GjffRaQ1adBNbFIKtsFvfK/KVz/xKbAWo1NAY3BwbYhjIHZcPFvFJHlOveKXuPsDQ+go4vFP/TkbzjiNOVrk6wmHfvgEw5ddQm7NRpK+lfhBJ25jlmRsO6Wrb2C8OsvmN76GmZ0HmHpoN6aZgKfQrgPaxdUQhQlJlFIcLuL05OkudjHx5H5URtP3xtcyuHYtZAo8/mf/k2aa4McOQVcWigGdAz04CZSnZlAtS/6kLmqTJZa/+3LSPTuxrsvc3p0Mrx8ls/UMSrffR/78czn01W9Sn6mRqoi+NSsZfMPF+N0dHLr2O4QTZXRqCatNvGyGerkOxkIKkY3bQQ0LaZqS6S+y5bd+nWR+Fn3S6Si/QDy5jbg4jIPCI2kHHsZ3sueH2zBHpqmMjaNSyOYztJKQTGeeNE5IrWF0dJTcptXs/u6tNNKEbDHHyRefT3Joioduvh9tHNI0wQ18lLFENsZxFb6XAU9RLHYyNzGFn/HoHB1ket84rvbwbIz/qjV0Gpejj+3B0bp9HkpB1iVKLd3rV5PPeHS/6e2Eh47AmlHKn/0cs5MTZJwMlal5dM7B7QjwcgWS2XlqcUSX49OMY5LEMHLaWo4+ugeUwnE84mYLtKbQ20FUaxC4HvW4XXHGzTuEUUy+o0jYaOB3d0Bi2HTpBey4+Q7Segsv49FotAiyPkng4M7HeN0F4kqdUCUE1iXreEQZxcq1q/HO3MC+L19LqC2mEaFRpC7EJqWvu4dapYpOLKkDuUKWnktfTfP+x5kdO4xxHTylCDIZkm6PDe/8eRheTqhz1O/+NrneIfyufqqmRUd1DusUMKNbcF3N4c9/mla5ThKH6NFROloRiYZlb3kz0zdcR2F0GC+CPT+4n1YcUsjmWP87HyD0e3B7etFxSDg1g5vP4AYFonqJammO+auuwbQi0jTFcRSJbl9felauJHfhJThBBnQKM2XMQDfG1birLlyi/0xYgmpz1uzbttijOC5UR8+/bcgUnn2752gX4mXP9X7yNqKt0CP3lRNpbvz4/7L3M8zOHV3sIYifgjm8e1GOq0fWLcpxVc/wohz3ZadnmdxXTqTG/LG7rxzLv+IWS4P85bdYKnKdcm85gez4rhd2b3kF3zdsvYLKdyz2MF7ydVy9yP5S+WXpeNbX6Sv4/v+j13zviNxXThClVMuB4H9me37yxsfBHzTnSCG01mZeTH+l1J8AHwNusta+/hnr+oH9tAuEDFtrZxfarwPeDHzYWvvXz+jzN8DvAB95rnzGz6JjOQXVS7JQouf1wD/y4wpqPcAvA38EvI928MUCDeD9ixV8AUjntrPuuwNMv+Fd6E1vh4t+ldHf/wtO+dD/RasRMrdrmh1fuJ7sph6Wn3oSju/hOB6pZwhrdU65+FzygU/YiqkcrpLULI5xqZXqtCot0lYCxqCUJbUGbEJnV4DKKRoTZXK1kIEz1tF72dmYTWvwTn8tR/7fTzAzXcIpZLFG4foOrtf+EWsLbqDoWztMrjNLpjfP2jefR3G0i471yzntox9FzVRgZh/1++9n8NR11GYrlCdLVI7MMnbTNYR5H5XJY0xCggbXw3Vd/viuJjfdeQdh0kRbUMrB1Qo3CSGF1DYIGglNW6ClfR77xpVk3vgZqE3S2dnJ+M6dNB7ew8GHtuMOdXPgyhuwj99P8p3/hVveR7zvSapzR8gPdeEnKTtvuIuJR/eSkKK7HJyMi5vz0FmFCjTWbU/tZK2lsm+K/ffvwPUUvRecyuFvfpcHP/F5dv/lZ6AzR19nns0ffjdDG1YTTszDXIPJo5MMX3A6SdTEVENsR5bmxBh67VrMST0UwwyN2Sqz376RpqPY9anPU54ukTqW7uEBBi46B7VqPZP33oMbpoTNFrnNq3AHO4kbIWmaYtMUvydDoRigA40TaAr9HeRcl6kHbketOY+o2EMcx6TZLPnJnez/xhdxohY230d51Sl45VmSehkXB+uAyWqcYgY369GzZjlxJWTs4V08/q0bqcYtnK4cyXSFfXc/Qnm6hEpVe8ofC1EU4WUCepf1glFErZioFTN7dJJsd478sh782LLpjWdz2gffR3HjOvALHHh4L4VCkdxwDx1rlhFFEf3r1uCXmkw/8iSd/4e9+w6T5Krv/f8+51ToPDlvmA1aaVc5oUiSEMgIAUZksC2MhXwNxtiPbfwztn9cc20cwRhjjPG1ASNEFJIsJCGUc1ztStq8O7Nhws7OTE/nqq6qc879o1cCYxEMYlcy9XqeeWqnu8KZqeo6PU9/9vu99GKe+siHCUSAvfsm+s46g3UXnU2tUiXfk2dk7XJsPaY2vcDg2cdx5nvfSjOIEBJkf4bpJydItAVridoBquDhZl2SMMQr5Wi0QmiDFqAji9CCQEcUx/rJZT1WnnQsW679NmhD1/JBiqM9rHrjhRTPOh7hK6S16HqLrtF+Bnr7MHFCy7EMbFjD/m172P7564lb7U5Lp9hijMGxEt8ImpU6vuMhtWXDi89g5Vkn4++fZX72EKXT1nLy617B6InHsuZtr2bFqadDvQJRhBu3KdYWybQa6K4uclKRTE8j8gVsfZb2rdfQWKpjGgHHXPoKzMGDlHdNMr9lLzPfvB4/45IZP4Ettz+ITRIyysPP+URPPIqfLaGlS7Qwjz8wiON5WKuhbxnRoTK+7xMbjXAUGosrFaESFF/1GsTYGmZ2biJswuLGe5CZXmQ5Plq32FQqlUqlUqlUKpVKpVKpVCqVSqVSqVTqxyboVH45Gl/PQcrp9MPLO7//CWvtPLCVTvjl1QBCiAxw4eFVvv4s+3v6sUt/+qG9cBz1tkffy1obAlcIIW6mU7Zn/FlWmwDeZa2970iO7fuN2DoHfr2H2ev/jQOTB4nCBQ7UMuSOX84pb/oF9uydZHHbdpbVikzHc8hWQHMJXKVpJIpHv3EHIuuQHSoi97eIMERtsBkfESdIJTBa4+YcEJZz3v4qHr79Xo77tddT/dYDNFWWsfFR5JkvIXrVCgKZsOrPP0HTxkSf/wayr8D4i05g8vbHcK3FuJBbP0qzGaFEzPi7L0fWDjJ86QfwHvtXDt18LcOxYMcXvkJ8qMKOndP4fSUaWQfZTAg3TSFtSOiUwCr86jRO+xBtf4i/PLeP/7VzB4t/+g8UE5dq0OThhSXeO9hg8iN/g5fPUFxWxHnDlfzRQ5pP/9WniH2J+JVrWfiLs5n+92tYcexqdO0AthGiit00VYbuV7yeeneWonRwsor9195FazEEQErZuZPELq4vicKEoVNXM/XoTqSxODmPsBpAbFFSMvy+91KsLDArHqGYEURhQla6aCnZ+m/XMbJuNY5UVOcWQSckm3ex8qyTiZKYsTf/OshDhMIn/NZVFF+2gbDRYm7nE1R27ycnFYWRIsv6BjkUVvH7uoju+w6tbXPUZZWR5csJD5WpzzbpP24Z4RM7QLvElQZuNsvKlWMcOnQI1VOkOXWQriCm+uVP0/2Gy4mUJimMQH6M8Vf3EyUJe//2T/DzPjmTobrQxkiBjTUFP0echLTrLVozVXzrEcgWrsmRwcXurSNzDmGtQWXXHEJ0WvIICyiIibBNjcq66JbGERKVd9E6wWvFdL3zZeRWnET1vhtgeg5vIUvGShqVBtYENKfLaCk48PhOek5di9l+kK1/8OdEQcTez36B4tplDI9G7L93E8SC6kKNWqWOk3EoWoGMJEubdiJcEL5HbqCLZmMBXzoE5RCZc/ESjerKk+/pIZ9z0OefxvR1dyIc0G2NtZZsAMFsBeEJarMbYaiLcG4JR3i0woCTzspAb4nBN78eUa6w+9/+AxFF9GxYReQKksUaUw9vQWkwxmCs6VRtOtwl0CYaayzaJITGIF3Jrnsex+gEPIdiI6G+eQJe8RK61x0HXgbjOkw9/DjLcjnM2LGI9S9icd8TZG77FkZD8fQNVB+8F/flr0CuWY2zbQdRPSIU3Ry34VieuPUhfCQjLz6fuFVj+5e/Cq2YBIUjE1acfDxi5RjoGG9hkbh7GKE1icogpIfVISMnnsTuLRvx6wplJHHWoX/9Cmo7Z6AwCLEh3DFJeXo/o697E/VmDWqLFI/mjTaVSqVSqVQqlUqlUqlUKpVKpVKpVCqV+jHJ5yKGcnTkDy9/UIui8uHlyXTaIB0H+MC8tXbqWdbfeHh50nM2wheAIxV+uZNO4OnAj7OytfYbQojrgFcA5wN9dE7oA8C3rbVHvRzB4q33MPfAQ8TWZ2jtSvZWffLFBDWxyP1brkF1d+PUNPuTWVRPAacgOOnlJ7Bv23bcaszCUkRXVxdSR/RftJ7K3nmq2w9ijMbNeCSBRkiJ1eBlPJ649QGUFuz69DfRLRAZw4Kzl8LFb0QlMcUoZM+f/hlkBGq0RLF/kCTvgDBIz0Fbg66FdI/2M/bb76c8dC6//bU7OPSFbVz1/vfRXfw2s5O7aT+yGYli4IJzKD/yJN2OT0NUcXq6Kd90LaULXoPvZpDzB5i48RZKBFSURa05lrX3fpWuE1/MlD/Ce2r3Qe/pDF54BhPfvpvFmTI9Bz/Gb+Z9Lj9zDrsAy///36H6N39Pz4pR5rcdoK0TlGiz7sKz8U55MaaUJfrmF7nzvjspNRQ2UVgjMMagpcHLOni+JNdbQgQBrQOHMIHBuJakHeA5PlJKlCOo3fEt5g4skjOQu/gczC0PY/Mewncx++oc2j5BfnkfQRQg44j6aBfOWA6pJYe23srQoRqVrTvJXfBybHeRrtUbmL7lYXJa0FYw9LrX4607HucfP8X2f/8aJZPBNJfoWj1O/ykn0KjP0bIRY+/4JWrTH0NGbYJGTFZJpib2dcIV1QCtBOXHJ2gEDdSam0kaFfrOeS3hxKMs7Jmmt7uHNS86kYlbH2NxoUqmkMGTknYAS/NVsgWXuJoAgkRoPO1CrDFJRHagRO3QEiKKEN/TCgtXopRAKUXYCHAyLp4vyQwUqM1XcaVDfWU31c9cy6qVD9J12SupNyyLdz4GrsJqMPUEIWD1r1zCgW/extgvvIHZ8CvUZyLGTtvAgcVFlp95Jk9+7jp85aLRZLNZ2kkb1ypMv8/89kka8xUSLNlWg2xXgXbGozDYh1bTnHzB+Wy8/k4GhvIsbJkgfvE6art3YXBIHI0bABbaJkImAid2MApGl42w1DY0lyoo5bDty9+mrTWO0aAFsjfPyJsvoXzfRuJyEzE+iN01g8ZgjEEphTGm83NqMEYfDl9ZhLFYa2hFIZmuPJlMhmYYY7Vl5yeuIsoo8jJLdqSbgeW9RKMrQTp4bo6+8ROY+MKXaccW+chWZE+O1cfuxwjJ+Lp17G5uJp8R7NkzibWWIGqz41NfRCtLk4SM8ECAETDx8GaWrR5n32f+hnVvfgducSWJdUE5WCtQ2mLikEwtwB/up9VoIjMOjaky8uXnM/X5jzPytndDHFAcOwP71CbymQLtauPo3GBTqVQqlUqlUqlUKpVKpVKpVCqVSqVSqf8m+YLNvjB/eLnyBzz/9OPjh5crDi+fLfiCtbYphKgAPUKI4uEuPP/jHZHwi7X2wh+91n/ZJgFuPvz1vONc9Ass+5UPUVIJu594EO+qf6c1t0QUG4598RkcuP9JwsBghIWDdZqJZcd1DyIyDktRhBsrmvsOQUbRmtuFERH5NX20dpRJEo0VBiEUypV0LSvhDBTp6etj2+0byTguxa4SQkncm7+EuPA17Lv3O/QvL8H7PsIKQoROoBlQmy1Te3QzJFnCAxWqjqHP7ab3nqv5fGkWjhmFcobw5NMY2HA6weJ+woe34mayJK2Q2FqEcojLVZYe30lx+WPEJ1+Cs/YcVv/KKLRahIuLXNd9NqvdOqND4yy9/zKWqhGJ/grD5x2LCQ3SSqpLFYp9/axatYpDGzx6n3qcfY0AZ+sUQyevYvbxPSSthF13PYx7ywMky3rodSSregZZmp8B66NNp4WTtaAjTTOMcaVLFEY0gxYq4+P5MLBhnIVt+9DCorF0L+tj2bLlPHHD7cibHyKzZogk6+PFll4D9bkFcmuHKGUK0NtDzs/jK58tt99MX6HAti0H6D9mOaXxUXZ//XqOudAjNNC/dogVv/KroDIc/JdPUV9cxCv6zM3MU/BLRAfmqJ5xMs4Fl9ObXMXeb36F7tOWU9u4H284y5o3vInN//DPSBRWGVyhML6DkylQf3g7td0HmHtkN/HsEtneLljWS3PyENn+IjqKiWxCzvGoBRGe8mi2AkxiyBSzhGGI73u0iRldt4K5iQMU1wzCbJ1mu9N+CTqhFxJDXI9BSY476zR2PLwZ6xg8qZCJorlxEsdI9uydZ3hqlp7zz6f8nUeJRUymmKEVt3FDwa7P3YDUlr2f/iSxtthQs7BpF6oR8eSO6yDRJAqEFEQ6QrkSYk17torjuTh5l/6RQZKDSyzOlBlZP87BnXvJ5/NsvP5OnIwPxQzrf/kSyjsmqLdifFfhxxAKjZUWawSlM9aidx9CV2pMP7QdgEzWw2jL4Po1zO/eh9OVJWw06fKybPnMl8n3dJHrKTC8fAU7d01jLSC/2xlOiE7wylqLtRZpJViLTizCSpJGSBgbpIDECJZfdCYYweKWPXQfN0aY66ErCbBBCGMrsdV5Bk47kcreAzRny0RzVbZ97QbiVoyXaOj12H7V14kwWCtwHIdEgzUaRwgwgNMJ5DTDgMqWpxgaXkZSWyAeWo4jXQAUGrs4RbR3knYSM7xuOXrPFP39/VR6SvTs2M2OgxW46wb6zjsHd2iQxoMPYJsxueWjR/7mmkqlUqlUKpVKpVKpVCqVSqVSqVQqlUr9BJyjG37xhBBbnu0Ja+3xP2Lbu4C3A28Tz+es3wAAIABJREFUQvyJtTZ6+gkhxNnAsYe/fbppQ+HwsvVD9tkEug+vm4ZfUj/Y5F99lPxwH9OH6ix7y2X0/N3HCf74g8xvn2LP3U/ieAqnILBa42iHRMRk8wW8njxm1wLW0TgqQ1Rp01AtrJLo3RUGVw/SmC8TtwzSEcRxTNRImJ3ay5yawi94uI5PO4zInb6WoFylsPleVr7y7Sx130hXUsY6OeLKIUT3ECve836idV9l8ubHWP3al5I5923Mf/yPiAb62P/oNgrDOYqFHvTqcfpedjHDgPOGC1Fnv4Z1L30T+lv/yvR3HqelIqgG7Lv9ftaceAGBcKA4hp15hLmvf4Pz/esZ+70Pse133gE1Adoh15Mj2T2HO9ZDfalCttmmd/2JzDy+DX+pzMJ0BRsnmKzL9JYJjNDgKwb9DKMfeBezX/8a+zftRmiXrpEh6lMVrLLY2D7TFkoIQaPRIA4NSEU2Ixg4dS0Hn9iDbhuULzj1tS9j0x33Y1oNTvs/f8Xuf/wbmrOHGDl+A5nxLvbe9DA661K89HJyGY99//S3hEoxMDpGr3ZY2j1LYBLMjv3of/sSfa+6hOrdt9I/0oN/zBimq5ugrpk7sIisV1j5ohfjfOhdiOlJ7NAqxNbHqdomzYeeojKzgLUWr6fI+ovP5d5PfoKuKEvsaVQsaKmIweFuepSi2QjIjvQTLJYxWKr75wgWaghpidstlHSR2uL4CuUIkiTEV3mcbkGlWkP6kjCEfDHD/OQcruPTnF1EBhYpJSYxWAEmThBCgBI40mXrpicYXjFCefsUMuMSy5iccmmHFmtjZq76Nk7yLQr9PTSbTUQQgS857pdexZP3PIh7sIbqLhGUKxSKeZr1Jsp3INIYwBqBVZaBE1ag8yWCxXmiJ2dQrmD0tA3MPbyVrsFeTnnJmWw/MMmKM45n9/2P4zgS14NGUEWvWoHQhvYNtxIHBuW6GGEQRmCUoPLEBAQa6XSqA2WGeqlXqnjWUp2cJtYRycEIWczQdgxGSlrzSygp2XXoQbxikbDeRGiL1hoBGDRKOZ1WSMagXInre1hticIY4gQtYrQCqWDHDfeSHeulONBLZu2p0IzY9NG/4pR3v5PAlzhhQGHDenSSUJ1ZwGJRiQGhiTC4S5rQhFhNpzKQEQgh0IlBKQfhCoTq3I9EYll87CmkK1l97pm4yiGZ2YtVEtXTS/zgA4iTjsUOlJh+Yg/Dx60FR5Lt6kJnXXJ7Z1naO83wBW9g6jOfQAlB0Gxht+zg2Ne9/yjeaVOpVCqVSqWOLFuePdpDSKVSqVQqlUqlUqlUKpVK/YRewG2PrgI+RKeiy3VCiN8F9gPnAZ8FEjrZDnN4/ad/UPtD9vmC/WX8pNLwy0/I6S2iTj+TY1YPE4+fS/TtG+j7w0+S/+JHOfDUTpL9SxB3rsK8MDQLgqGxIaa27MR4gp6+fhLTxnUVvb7LPtskm3i0ylWSWGMVIAyD60ZoiZBjLzqH6WsfJW5oYt0goySVp/bQPd5PY3I/hdMiCmtOYOYb/8yK17+LpZuvZ/AV52NyBcJsD6uWraR8zyMUlOHQQhu3sgevK0t7X5VmpoHdfYCFm24nkqB2T7D21PPJKB/vZZciHn+KfLFEUg5wlo8h9jyJF1Xxhtcyde1NREGMtYIdf/gHuNbBGShSn5wnmFnCDveBbjJSyjI7Mcfuf/sPhC9Z9Z43sf1jV+PkXfycTzsIyfT3EE4tMR/Ps/SJz0I7xJUKiwVXInMKkUiM0iiv86m/tRZjEywa38tggUS45PuKJGGFMNFsuuU++sZHKF38C2z+8Ec5+a0XQKNG8pKL4cEHsYMOx1/+m7TvvZV9jz5Mbb5OLAzRQp1wtkxiNJlchuxQH0PveTf16Wl4x3sYcjPYfIbg8QfY8w+fRMUuPb1duOedTysJEKPdZGe3svWf/oHlv/gKtIVsd4b8cD8HJmbZ+K83UrAOsdGoxMEI8IUg3DdPdu0Y4UyZOOsQtyLQYByJNjEuiqgJ2awiCUIqYRWpXLTptOcR2Sy5poc2DsKHJIxJIo21oISD8CBuxVgBju8yunIEExum904hjGX0xBM4+MAOdGSRuk3oJpz21kt5/JrvoFyHOIqIgNXr17Dr0U0EJmG4MMiBux4l14gIhWJx1yzKFyzFATaxWGPwfJ9YWqxjcHszTG/awfi61Szs3ge4nQDJfA2tNfMzcxycnUe0DfsijZdx0LGl3dJkrWLPP32B0TXH4YWd11hsY6TpVGlR1uA7WSIVIRVEQYJarGNqIbE9HCSxYLDYeovuY1Yw0tPL1FNboRoycM4GbJAwt3U3jpbEYZsk6QSEtE06LY8AKSVSSmI0woVIClwMyiikI5HWEB2sUmknqC/+O1FbkIsks7ffzdBLziNphQRLsxx45EmsozjptFPYvnEzrhbEkSESTwc6JSAwOgE6FWis/O48plyFEILiYA+1pM3iLXcy8vYVTF7zJbLGw0YB7ppViMc3EU8v4CiXA7t20/va19GcnGT58etZ9v+9DmffI+z6279EZHza7RahSSisHTsCd9NUKpVKpVKpVCqVSqVSqVQqlUqlUqlU6qd3lNseRT9GhZdndbhN0WuAG4CLD389bT/wMeD3gaXDjz1dySX/Q3abO7xs/CRjeiES1v6wMNCRI4Tw6ZTcyQIB0LDWto/uqH4w+8DXrR1Yi+ztprF9K9lDjzKz7GxKt9zKgblZBrozTG3aRb67n8r0PBJJrGO6xwZoHFrEUR5R0EIoyegJq6Dcphw00J4hk/hYJ6F06lqmH9mGEAKnmhBFGs9TRO02jlSsO/t49pf34w2NM/qW1+M3Y7beeB2jgaaq23SfdQo8uZO5nXvoGh6i95yT2X31t3H7iqx682sw5SWicgVdaTD75E4yxQxhPQKjKa1bxvITTyI4fj1B0GbAz1F75HboKpDtGyfqH0LlhjG5LLn2Alt+70O0tUYpRc+xKwhmFgniiKQaEGkoDOZZsWYV++7fhg5jWjk47m2vZO+1tyEiEInCzSmiKCEJYmyiyfeVqCyWyXs5cAVul48NNUEjQAqB5/skQmO1IQk0uYyD6c4wumYZizPzdL/jTTQ+9xXya8YYffNb2fMXH8M9YwUjF/8ySfcIjtGYBBrf/jzNbduoTVdQRhBHEdJV+LksrWoLP4Hlrz8V59W/hjIOrbuuxj/7LVhXkGlM8cSH/wylwSYJsScpdBXwChm6f+vj6K98lNjC/CNPUdywmmIimXxiJzaxuI5DEhsQBgvYw9VE8qU80hicNSN4Guaf2kciE8bf+UoOXHMXpWyepaBKT28/ay69kF3/cRuNOESVW5isQ8+qZVR37Mct+gyfcxITtzwEDQ22U/EljjQ20mS7c1hjiFoRSaIBi1IKrQ0YC1IgPIdcT5ZCV4Ha/jKJNGg00lH42QwmSsj15CkuG2B2+yROLEhigxAC4QiSdgLWIoRA+Q6ZQo5ms4ltdaqnuJ7CaLBoXCkQOZ8gjlAWVGgwSmA0CGlxXJfScBcm1jQqDeJ2G+W6WGWRCEQiOy2JjCE/WMImGu1I6Msi55uE1QDohEdKA91UFss4joP0JavffilbP/9NXC3oOec4VqxdzYGtu6AZYj2H2lN70aYTmsEIkiRBAlZ0qjsZKTjmhHXs2zlB3E7IZD2iIEK5LsjOmHrHh2lXWzSbLQqZDM54L43ZCqIWYCx4WZ9WtQFITKLRkUaKzgxtjMFxHIzs1KBxXReRU0htkfkMtt0mv7KXkTdeTuWGr9OcWiB0BVkvy/hlr2Pfvm3ktu6lMruAdSRCCHLdJdTpp9IdVWkFmsVHtuD5Dq1miNKaoROORb35Sgojq37uUqFHTaNszcTmoz2KnwlR6v3PD2QKz77eD3g8lXrec9yjPYIXjkJvOq8cSeWZ58cfey8gaeWXFy4zteuoHFcuO+aoHFf0jhyV4z7v9I6m88qR1Ko+d/NK+4dV5k79j+TnfvQ6qdTzQa4rnVuOIDuz88ebW36O5w3brCHypaM9jJ/6Pi5+wu3tc3nuf8C+bLP23B3j59izXqc/x/P/M9d837J0XjlChBChA/5niv1H5fhX1hdIoG2tzfw0+xFCZIE3AWfQKWSyGfgS8Ed0wi9/ZK39MyHEKcDjwLy1dvBZ9pOnE3qpWGt7fpoxvZAclfCLEMIFXgFcCpwCbACebfauAtvonLj/AG6z1sZHapw/zK73Xm7H3vpKFm68jRWXXQrda3jyd38Pf6wbVZRkTzqFoptBRA0q92xles8UVltUxmX41GUsTM6RK/VQ3jVFz6ohmgeW6D52EK8nT23fIY674hdp3f44T96xEWsBY1FSYMx3z5cFCl6Gkz/4Duy602l5HuGXPsf8o0+y7PWvIHfiWQTlKjv/5mMkBmxk6F87TFNGJPU2Y2eup50ZYPlZZ6M33s7Wux/DVEKMFSQ+rDrtBPp/8QqwDWyuSLtZZudf/Dknvvud7Lj1ToaGeym++jLKDz9C7ZobqdabKKVImm0c3yHb1UV1qYxNBE4CquQyfuxq5mZmacxWwHOIRJuBlSOYekAYxKiMS22mhogNRlhUxkFgELgUi0XK5XInoGETege7yQ11sbBrDhR0ZzLI8QHGL7+CuHsMjYOSnUoxiDxudT9JsIBOJHpkNVYKvJldiKFxpn/vd6k1WggFVlh6lw9xKCNQe+ZAW1Qux4m/cQXBurOoP/RNsjML5F/5Vp74yw/iHGyQHStihWHF+/6AIF9i9iMfZOzyyyk6Hg9/5C9xcxl87RAEAcJKXFd1QjyoTmDjcEDE9R3cLh8PiX/ictyWpnuwn4NT01T3zmAt6DimPzfI+JWvY2rTRoqBYcnXNB7ZRdwMGNiwBm3a1PdXMEsNjFQopWiHISYyCEdR6iqwuLCEtP91zrXaYI0BIRBKdtoh5R1k24CV6Kwhmyja0uJmXfL5HD0jg8xM7KPdjLBRp+2P47rP/GxGGPysR6gjMrkc4XwDz/OIoghrLdJTFAoF2kS4vkdca9PWMfLwq90ag1TqmWUcx3iO3wmWoJHCeeZYAEYYstkscZfkmAtewtTXbqWRJAhpkcLBcSUIgbUW5UiKqwZp7joI2nLsFZcSbNzN7NQ0LW0YXj7MwR17MW0DiUFrDRo43HIIDVYKMp5DGCU8XW3Mxp2xIgxWgZ/1MVkX5Sn8ekLoWcZedTb7v3EXbjZD0u6EvpK4074pifQz50RIi3IchDx8rXT5nPLrv8qub1xH7wXnU5g9iH/ueRC5mP4hdNRkYW4/+bCGKzPsu+qboBIUotPmykIiLMJoHMdBaIOXy5LIzu+atmXNuy4j2LSV7JUfTt+YHSlp+CUNv6ReuNLwy48vDb8cWf/Dwy9HK6hytEIWzydHK/Dxw6Thl59TafjlyErDL6mfxs/xh1+pF5g0/HJEpeGXHy0Nv6ThlxeKNPzyn6XhlyPv6fDLZ0tHJ/xyRe25Cb/8IEKIx4DTgPOttfcdDsksAT6w3Fo79X3rvxi4G7jbWvvSn8WYno+OaPhFCCGBK4E/BoZ/gl3MAh8B/tlaa37Uyj9LWy5/rQ2DGBeL1g7KsSSBxslA0rJoz0CUINoS7Rj8XBabaNq1EGstTtYjSRLQllJ/lpENq5GDXZjFOovNBnNPTpAzPmGzRb6Yo14LcYUlORySAEu+v0A257DuA1dih9fSsgmbf+N9ONrDwXLc+9+GQvDE565DLDXxen3iZpvsyl5WnbCO7CmnszS5g64XX0ZsAmrbH0Ps3MLUnVvBWMxYng2XXUa9uR8/LKCbGtFbRM1OUFusslSu4bcjGvvLSCOII42OYpTnorXGxAnKc8mWMjgoauU6Xsnj1Pe+jYlHnmJx81ZsUGPFOWdCpcbigUPEQUyr3EQiwQMn42PDCGlAuAotwM9lCRfrxB50jRVRTgZZDymuG2Lozb+EGjqWUIHVGTwPgnu+Qpztp3jGeRz6+7+kPj2FVQ7SF/S89Z2Uv/AF1p5zBluuuYNcT5beVSuY27mH4be8lNL6C5j4+z/nmA/8CTPfuZGe0SH2PvYQ48N9NIoFDlxzG57IsOKkY5jYv5/C8cfQj6XaCunGYXrfflQzor7QQAqBynYCHMYKkmaC5zvgKGwYYVwXYWN6lw/i9pZY2juNpxzWXXYRm6++noxfJLuqj9GXvRxTnaY8OYWrcnRvOJGwMs3Wr93CivHl1IiRCy3qCzW0UfhZFx21iYMIG1usFAjTqQIjhCCSFh1GSAsSBysMJtFYDVaA5zmYw1VhhADhChAKpQQqI9Fao6TEz2WoLjaI45h8PovjSkKToLMOOSNJ2jFuLkOpVKJerRFVW5hYYB2Dk3FYcdIx9Lztl9j82U+xbniM7bc/jFAKjEFHneowOAq0wVqB1+0iDERRhLLqcAjF4iCQGQeTWKwwYBRad1I0uUIWYwxWSETOwS9lKRWKHNqzD9/LYYQlaLSQFowG5StsziWOY2SzU2Xo6ZCNQqHjzvdevrOOQqGTBKNBWkDJTuBGdsI2KPC7s8RxjI10p5IMnRZKJrEYYzBJ0hm7tQgUyu3sQwsQFlxPobIe63/rNxG+htwgsZHYbBaQ0KyiPEs4O49emqKyfQeNLRMIIZD6uwEhtAElUa6ktHyYcmUJL7bQamOyAhFCZC0b/vma9I3ZkZKGX9LwS+qFKw2//PjS8MuRlYZffibS8EsafvleafjlKEvDL0dWGn5J/TR+jj/8Sr3ApOGXIyoNv/xoafglDb+8UKThl/8sDb8ceU+HX/5vaeCoHP/dtfmfWfhFCPFS4E5gi7X2hO95/EbgF4Dfttb+3fdt8wng/cDvW2v/+rke0/OVc6QOJITIAV+jcwKgU7jkv2sE+EfgEiHEW6y1R+0dTxCEZIZ68PvzqF3TtGMJruGk9/8q933yswxGWUb+7HfY/id/i2hAGDY7bW0cB50k6DDG8z1cYygVuulds5pGUmPbnU/Rs7wHR7o4BQfbFAStBLfgIFoWDhe+kVbRrIXEbcmTH/0ssWiCcPCiDEZokkSz4+Nf5tTf/mWsE4KF1mKAQqLnWmyZfIjC3DxDq5fR2rmRzOrjGRga58FPf5GMdpGOQOwLaG17ivxxx9LWVVozu6lvWsRrxoSBJppdorRyhKa1NHUAsUUkAh0dbi9jLNpAox3h5Dy01kRBxNxdjzN+5XtZ/aYy4TVfJfPGdxA+eh9zT11PEmuklEjXASlw8gqtHRAKbUMKK3ppTtdxSw79vSVaDU3khRRWDFBatpJ937qa1W+6Ai83QjNbhx1PsHjnfbSnq7Tvvo3CSD+lKz9BobFALDO4k/dRb2m23/4gPQPd1IIWBzY9xcBFZ+Gf/ksEfsDqN76RWiQhm2HXV7+MUxpicmme9lxI9+AIwewc09t2o1ox1dsfp+UqctIyEcSdEISUOErRyUJIMr0lKrNlfFeRCMPpF53Lxpvuof+1Z9C+6yla1QaOTpCOQ7lSJZqZQ3WV8E9ZS792cEaGWbjvIfrfcjlmfhaGlxNtqbD+nFORPTmcIEAH0wS1AKkS4nYTbTyKK7uoTi7hoEispt2OUEpR6snRe8YapjbtgdBiHYWrHVASU5J0dXWRUy4zE9M4wkXHGiE0VkiMgXw+T7VSITQJxa4CjXqIYzT+QBdZz0dow8h5p7C0fRfdLzuX7V+9iUJiaOcUqhnjuj5JEjK3f5YunWWst4eD+/eTKeVo1ludlkbSYgxYmVDsKtKqNIirnfErITCAfPrF6Tm4votVhsDGSEfhhQIjNQhL3ONBkKBbIUmQEM/V0ZGlFTVxfY9CLk+tUu9UrGlbMkJCrDFKIum8R0mSBCnBWkHc1sT1qBNcoVOxCG3R1iJRCCOwSnde+9oSlJsoITqBFzptmLTuZPmMMZ0qNhjAolyJlQIE+EqhrUVIiZSS9t5dOKeeAyqDyXkQRygsjrQc+Ow/IgLI5bLkRgs0pEXEFqs77aagc11aa4mNpblURdUjelcM0fOWt5Pc/S2mds8ihr8vsJBKpVKpVCqVSqVSqVQqlUqlUqlUKpVKPU/JF3Dc6HAro6estcn3PHYanbZHFvjN79vkY3SyF38khPiWtXbX4W3OoVOQpAb83yMx9ueLIxZ+AT4PXHz43xbYDXwTuB/YA8wATWttJITwgDwwCqwFzgV+EVhzePtLgM8Bbz5Sg/9+Trdi5Z/9C9XYZ5m7QPmvP8zE1j3QDDjvD3+Dxz70SbjpVowxxGiEEgig3Y4RFqRjaLfbkJFUiVm4+hba7TaxMZSn5zDCIyHqfODvaZyWJDYxQojOh+UYiCQ2sgSNOlrGCCxSWIQjUV0+WaC9YzPdsz5LThMHibaSqNpCI2k8uJf6Ywc45kUL2OUbiNwShVKRdiXEJhYhI+ZufgTx6HaUp2hVQprVGhiFiROkVCxOzlFxEvIBaKGwJkE4ConAxnGn2oWFpBGBBB0I9j24kVb9f7PsJS9i+t5tjK3fCEC+lCeONc1WiJf1MDZBWY9wlWJw7VpWv/JitPCZu+lGut71AUS7iWjOk810Uy+MU73uswSbHuJg49OUXvkawnvuoN1s09y9QFQUDDl58q+9gkQbktIgre3XwuYDdL/m5QzWyyS1mL5LXk9GlojjJTxdI2iXqFQj7O3/TM+FF7JkXcyhWZxcgVwxQ31utlPdJ4gQQqBUJ5hQjtp4thN2SbRGa40UAiPAVuv4WY92EDF+0jq23/8kUhgO3vgQXlMj8x5BFkqeotjbxdzEfo55wyXgwa677+NY2UvhzDNQjiAaW4EX1WgJl/6XXowt70EtNjH9LZxymb4XbWDgrb9B85tXsf9bjyKVi5Dgei45N0er1aKWtaw7ZT2z2/aSBDG0D1d8KUmkdEgSw+zMHCqx2CwIoRDSIhRESUQ0HyMkFLp82vUWKi9RTpbhk9az/85H6F45ys6v3IHWMXubIQN9XbRmq7ixwS0VEFlY9f5fRzoDVG+/itkndxI1E6ShE3zRBm1spz2PFDSrTTK4JE6nvZFSDiQJVopOSyxtabfbeJ5PBoWzvI9g7yFsCImErrZD6Cpkbxd2ZgEr3Wdmwrgd0aq1DldXAgdBGHbOrSctCZ3gi7WWxBis6ARUTFsDotMSiU4oRggwsUa6ChAkcXw4uAKJEAir/8t9RRiBNvqZ9mZCCIzVSEfi9OUxSw2stYyNjXBo11ZWnHYB2sY4zQiki5CWJIoYvOg85u+8h96zT2bhiScZPmUdcw/v4On5XgjRCdogcSJD0AhwiChPL5D8x3V0v/nX6F6/g8Lgf2kRmEqlUqlUKpVKpVKpVCqVSqVSqVQqlUo9L8kfvcrz2d8BG4QQm4AFYBw4CzDAldbaO753ZWvtrYcrvPwWsEkI8R3AAy6i86t4h7W2fATHf9QdkfCLEOJi4A2AoHOifsNa+/UftL61NgIiOn2qtgDXAR8UQryJTuWXXuCNQoiLrbU3/6zH/2xOufBV0DhIcXYbevmJNFYs54wrLqfy8U/hvv93OP0zf8/kx/+a3LknseqUE/CqTaqbtjKzYz+1xSqykENVm1QRZHcexCYO0rW4jqSdWBxhaTXbYC2yBTExyhF4GQ8cRe9QDzPbZghlp1KKK300McL3cfKSrJZEQrHn3q0EXRrbsLg5jyQIQLhkpcLvzwOGyYd30Zz7MKf+6hXUq1W8xEFbi7KKQGlOe+VLeehL1zK6cjnRUoCOkk5bIm1po8nGAiMBozvBnDjBCIGb8RBCEMYRDp0qE54DSSKZ3zbH3BPXEBvD0t9dTWgShtaOoms11lx4Atm+QSqLMwxc9h7Mnk20xlbRyg6hMgV6f/kktAOO242ph4ReL9nmAkk+wd2whrktk+jkJuKspHVwjqFLziBzxgWE13yV4JEbmb7pVlb84R/TtkNM3n8N/h2P4hUySKXJ1ZZAGFa86hKiXJbco7dRn9yBHuuhv3UIOdRLuO8QylqCQw1sJMAapJJIJTFEmMRDRRatQAmL53kUilmW5mvYyBDGCVaDV8ywd/NOlCMwCWSkgIyHUCDmQ+rSks1m0QYiE+DPNzAHasx954ss2/AiwvkZcqPraVcOkJ3cxvyttxIjWGgF+IsB+A5Tdz7JzJ3v5eQ//h1Wd/n4p70M5qZ45B/+BWsCcmeNovbUKG+dwO3L4zkROoixOUVhoJuliTlUJUZJML6DAKyOOy16rEOhu0DotBGeg5PJETXr5FyfMGyTV4o1Z5/MxMI8J330d5m5+mtUd+4n8AVtIkyiybQkUjhMX3st9Y37sLg4DnhZlzhsd1po1ZNO5ReZkOsu0aVc3KEupJUc3DGJ8hTaJgjbCZ+4SuE6Ho7vEkWWlRuOY8++Q5iuLEmzRasaURjsZ2b7AYp+Fi1itNadCi3Wdq5t22mhFCUJjuOAhVjbZ8It0kpMojGaw+2JeKaiSodBCIkQT1dY6VRc6VQAEkgMGImVtrMvYzrtqABrDNJ2glJAJ/QjLOPnnsrUxF6C/XMcnD5IafUIQXsRL66y//Y7GRrqx1m+mnbGp7jyXAonVgiqdXKnnMnCbXc80y5NWIHFdir7AAZLRjpoBMKTdJ24Chm2iCtlWoUSz4OCmqlUKvX8l8RHewRHX9r6KZVKpVKpVCqVSqVSqVQqlUodZS/gwi8AXwTeCZwCdAPzwJeBv7bWbnq2Day1HzgclnkfndBLDNwG/B9r7b1HZNTPI8Lan30beCHE1XSqtGjgHGvtYz/Fvk4DHgBc4MvW2rc/N6P87wnm9tq5b3+N8WgJ1h8P+S7Kt9/F3s3bWLlmLZXqIms++CedGjdVSePQJib+9J9o5TT5bIHmdJnEQGH9AI1Wk2alRbEpsB4UCwUKvd20WjUqczVMoJ+p+GKFwXEcIptA2373A3spkR6dqitSMjA6gI0jwoEs4cQsQrvERhPnLa4B8j6nn3UmlWaVmQd2YJRF+hLRdgjDEIVAWkisQXYmaJbmAAAgAElEQVRnIYgI4wTHCnQYI6UkSRI8r9POyB7+4N9owBik2/lA33FdXNfFCovMKYJaiLSQzXhESYzVBiFd0BrlK/zl3TQPVlj2wV+nd2iU7FKL6JjTsF43TnkPAW1yFIi7uvEfupHGju3Id/4efryEtgW8g1swfYMsXf1Zmk8dIDQJUUGy8hffQHFwhKTQhRKG4IZr2HPH4xgsRgpcT+L5PqXBPg5NziOylnw+R9wISeKYNa8+g/Zci3B2keldU9i4E4qQLqjBLoKDNUzUqXTjeoo40kgUjivxiz4y62G1prVYR7iSuJ2gXIlSCotBKg+rEzK5DM1mE8f3MLEFY3EcydBFp9F4dBuR0XQdO0bp+JeSO+k0aFaxk4/TUgp3cBkzX76ayvYpRGwpDvcQNFokkcZf202+As6ff4yJZpGT9t9NcWqCyfvuI0kShHSIoohwsYErFJmeHNWZebxCDqshqkdIX2Hamq7BIs1ygNflovI+4WKNpB2hsj4D42OUxkfZecv9ZPNZZMahf80qFuemOe6889n81ZuJkjaDg4MsLVZAGJRSkPcwjTae69KIAorFIklbE7YCJAppLCMbxqmVlzrBmNkKZqCIqbQwwiKEoN1ud4Id1uJ4LvlSAV3KECxUWP6Sl9A+MEmjVmVp1ywCQ3GsD9FIaNSaoA+3HJKdPKi1FtR3X+/Wdo4hjECjUSisMdi4E4gxxqJUZ9un96O1xvM8jDTPVJIBOu2P0EjbCb8II555Pok7rbIUAhwQrkS5stMCrJDBX9HP8CnHcfCBJ1h+7hnUgoT+M15O44m7aO/dR9xuU3rn75PTLYJNdyAaZWSml8lb7kCGMZZO5RohBMJRGGNQCKwj8RwX1Vtk5VveiOkbgZ2PMX3Xfaz43//6An+f8ALSKFszsfloj+JnQpS+r4VWpvDs6/2Ax1Op1AvAjxt+KfSm88qRVJ752f+xdxTZ8uxROa6Z2nVUjpt6YZLLjjnaQzjiRO/IkTtY72g6rxxJrepzN6+0j1on89TR4ueO9ghSqR9PriudW44gO7Pzx5tbfo7nDdusIfLPg/+i+FPex8VPuL19Ls/9D9iXbdaeu2P8HHvW6/TneP5/5prvW5bOK0eIECJ0wP9i99HpavDOyiESaFtrM0dlACngyLU9OotO0Oq6nyb4AmCt3SiEuJ5OJZmznovB/SSiPffjbHyUxxZD/Fs2EgtBO47JIJndupskirj/fVcyvmwIxgaZve1JkiAhaSTURBudc3CCiHjXAt3DXdTjCsOrx0nCmKW5JarzVZRS+AUPL5eh2aiisi4Ig+tnseUm3kiOYKaFVgapLUkscEsCqUDkcyzsnkc064jBEmI+oLurCxtHOP15jrnsIqITX0NPa4J99/8hou0QBRppYxJj6Brtpzb//9i786DJsvK+89/nnHPvzfXdat+6uumtCnqBRizNIgQSSELIQgKBGElYI2kmjEOypAht44mJmAnLdjjCI8njkI0tazEICwsQiMVSgNhp6IXe9+qufX3rfevdcrvLOeeZP25WdQuBaZrqalrcT0TFW5WVefPkzZs3K+L+6vesEStFN3I6vTZ+4onR0+q00RDxVVWPchEBkXrEz/TPMQAYQhWpJiNs5lAvZK2ErN+ux+sAxkKSWqI61EX88RHbFvpsv+oV2OEZSEsKDSSTNXxnM8lkCZ9lyDBn/JLXs3LDm5kVT8cbjrz3X3LFj7ydPOvR+cV/TrvKsa5k476vUl55Exuri2R33Yp7yYs48qV7yHothsMhadZCNbK2ssbambU62HPOM2KdpJWR9h1HbnkIP84J+XTdaUJReDR4zNHVaQDJolGp8ggIMXjKaMAoNiqUHoyh1WnjZYxrpSTtFnuvupyTh48Ti4qI0p7psf+mG3jk1nsoyxJfVYQHTtDbtZXjxrH3R36aY//233Dl7i3Y/lZ0/6vpxkhx7F52/dy7mPvshzl1x0P4U+sUNiLWwJpnaXGd9m//U/a9/Hrcj/0f/IfsJXT3voF3JI+z/sW/QSYRc40h3TZP95WvR08fxLR7nP74Z2h1OvS2baKY7RMeOMCRw8fomJRJqnSu3UlWKZtfcDWT5RXWD5/keTdey5nTZ+m1O/hRTn5mwFff9zFEhEQcq4vnAEMldfywNwzUu03IXEI1LvBlwCE469AMzh49gU+E7sSiMy3KM6t4o7gsRVoJ26/ZSTmaMD6xRp7nVESKI4tUWOZ2bubBz3yecpBjEGbn5xktDfB5hVCPcUpaKaHydDodfKwoR/V7HSVeCL6IqZthoo9omLa0GINN61FgIoJJ6tOq5YnQzHnG1okao+aJnyYCikYBNYjUwRvrHDoN9ohCFoUrepsYHz9NChSzC2y+6XoqyUi/54fp77qXx9/3Uap3/wv8j7+Zk3fejQyG7Nixg5iXdRAPLgTprLVY6vFHGiKjtGLna24m9Pu4B+9h/eDjzMzOP5On0Uaj0Wg0Go1Go9FoNBqNRqPRaDQajUbjomnSRt/dLlX4Zfv0530XaXv3UodfLuF/J/q7jv7ueyiHFZ3LZiliis3HtLMEgzBaHZMkCalmnD22Dmsb7HrLq4h3H+bQo4cx1mIGFUnWZjAZUxxboeuVc+U5gvHYtmV2yzxlXlGuj+nt6hBbHfKVgslojKGgN9ejlVn6+zexuj6kOjUBQFaVsi/ki6dJM8dkUjGzVDIYlxg7oVifkA4q7vtPH0Di+1gbBtpFSukUiUoVI6bjWD55FpcYQhUIZSS1jqybEmOkGOX1BX/nMCIXRsFUVYVxUt9WBsROmyVMgqjUAZ2xx5sRcwszVEsDQlBsKdCBXT98E73L93HgQx9ljy/xnXlMtoAZrGCzNqUYnEkxVYnP2hhvWUjHxEMPcey9f8SVv/IuJp0drN7+GTa9+HXI+nEe+tf/gnaS4WY+zZbds7BzJ5NbPkd6+XZUlD1X7Wf1bx5kbX2Mn7YgGQ2AYBJLOSkoywqzXtDKEhQwIrhWRlVVuJjU42mMcr5FSXX6e6mHqW3ZsZ1cC1SV/Mwy66trtNtdFhY2sXpmiQO3PIBpO0wZqELJi375F7j3Pe8n5DlZliHWsL5ykmt/5tfZdOoA6/d/lu51uxjd8zlmejsJcyknPnsbl73tZ/EP3EaKIxtH8uARsXXLSOLYuXsHx48sUn78Ltz/eAtvyjIW/uBPqO76LN03/BSTOz5J56X/iPGe61kqJ/TnbqIXC2affxzjLJMzS2RGkE0zmEMVyd6ddFUIqxtM2hn5uVWWVs7R37uFTqePO3mW0coGo7NLSBlpOUtVKaad0J5p40V54RtezumZTYzf/zcUKxuMhxOSzKEoMUYkCl49hIiq0l7oUcZAWpTEtsOWkU1z86zFCSsHjrPnphfQSdqcfvwYw/UBrXbGzOtewfjwIfAGAhgxjAZjvA8IFpMYxCiiIBaiqY9ncVK3pCAYY4hEEAFVoq8/L2oE13HEajq26Mn/T2E6VoivaZQ53wwTQ0CpwyiqirV1CEcA44QoEesc1hr6O2a57AfeAFe/kP7gDP18g9Fj9yN7riOVHFwbhp6r3vwTDA7fzeBjH2fXbJ8zp5ZZHB9FohJViSGQtVpkvRYzz9vF2slF8rPrGIVsHFn/bx/n3NynMcOSYJSAMvcMn0sbjUaj0Wg0Go1Go9FoNBqNRqPRaDQajYvBPNsLaDyrLlX4ZQS0gIvVzXb+euzwIm3vW2ZiwFcFG48sUjnB+EjW7zK7vc9gdQ0zrkcUTbxH8oTD/+3zZFlGGlLS1MGuHoN8g/kb9xDOjCjODZgMC5LMMFweMV4bk6YpaZoyOjnhshv3cPDoAVxiMWrIN8bkwxzbcezYv5fFxcdQsVQSsZPIeqUEo7TSDLoJMikIuSdppXjvKZci6oRev09ucshjfSFegXFAQqTKIzYxJC4hH02m4ZgAasApRhxRAxYhj57EWEIIiHNg6qABCiGJZElCVZaIMchAGZYjXAucbRPTiPElnbf+P8h9n2DL7Dwbt36SuZfezOFPfYC9r30beKHlJ9hSCTNbSAfLxPYcSaiwmcA7f46QPg9XFex42Q+SP3w7budeXvTDr+WRk0us3/Eg8dQipX+IST5idssCxUbOiftPUPqIEZCqHt0kxqACRgVFUB+xxlKOS6JVevNdiqIgyzJ8GTBAjE+EGNLMEUIg+DrssLJ8jvFgTJo5tFBMmuKMZfnIIt57NEasVyzC/h95FaNNW2jlExRH1cpoWaG90Gf1Y3/F/Nveyup73ovfvMDsxDLoKP2kT0LF8vGHKZYXOX3HffRDwHdTKCuswvDYMkNgOpmHqlRWwpi1X3gH6eY2u17nad30WlpzfbxU7Fg7xGjztSSHv4TOb4Mrr2Z062cISUp61Q3sf8mLWbv1VhiOmbQs2ZYZiI6+SSkfPcXZrTPsevWNnFjcYOvZMywfXiSPStZKCdHj13O8U+7+0GcwOUSrqESM1O1B7VYXcVAWnigRAogYJitDTJoQexmdoOStyMb6OoLgS+XYbQ8y/6rn0x30wCXEGMmPHuTAA0fRXC+ET6JEVAXXMqCKTRPGa0N6W+bIR2OcsxgLs9vm8RsFRVGRJA5UKfIKJBKApJ2SpgnjyaRuPGIaXrGg05FkT25+Od+6IiIYa+v1WKUKAbWCVUOUSASyNCXb1WPX/ufz+G1f5bIzZ/D7M2R+NyI5R/7re9i1ukb3VT8KWQIpDL/8GVbzgF9bZ/XEWWwASj9tYwpUmWXh8nlcq4fvJ8S8RGyHECf0ZnqM1jaQ9TGm38KKJbSfNPup0Wg0Go1Go9FoNBqNRqPRaDQajUaj0fgO9uTrco3vPpcq/HIYWADeLCK/parx6W5IRAzwZurWosMXaX3fsvVhSXv3Aptih5OHj0JiKUc5i4/ltDptCl8gaX1xOymhPzeLnTGMzqxR2ohfXCdzlvHdZxCxdfDEQvRKq5PhTEI1Kcm1ZG5rj6XFNUKmJCR470m6GTEvMUXg+H3HMD2hNd+hZxzGGVZPrSNlpPIF5ShHrCG6QDXwAHT7dYDDD3JCXiJqaPfbVHndUBIDqNRjXc63RQDEssRXkWLksc6jUo9NSTKHRsGaBB8irpvgnKMc5RAtVVlijKknrxjBtgWVlJnL5xiuTdj7E2+kf/+HuefP/ish20R7fZHH/8vvc8XP/zqqlmJ2D92zD0CSEaIQtlyBHa3UrTH9WWZCiyqO63E1H/lDurufh95yD3f+5RdwIUODZ+BL1AiIYf3YKmHaJiIi+BAx05OhqhJ8gFiHJVyaIAJRhDSz5OOCWCgxekKoD2VjBJ0mS6qybg7B1KNximGJMfVHrZWklFVkko9Rq6S9FqFjYFDR27HAwVvvZvueXajJuOpdb+HIR/+aq375tzn+Z++mbLcpvvwFZJKjh44z2TlmcP/DHFtbQ6pAOhrRGhhe/IPfy3C4wYkPfp5cUgDCdCSPc45QBkxiaHdb5HlOXkUOvP9DdOSjVP2UpLDsf+OrOfWG59PecjVrX/5z0ue/FH78n9GqhqSP3sMkF/Tya1n80Ifpt/osPXIfxhjSThvbSjHLQ45vPEqn1WU8nNDdPsfspgUKDZioDI4vkfXaFIvn0GCm4ZZ6rBDRMhmNcGmKSQyh8DjnQARVQywC3pbEdsLWyy/j3KHjZFmGFhXt7bNUZ5e4/E0/gFz9Su75l/837fUlQhEwmPoLz4JNnsh9RlUShNkt84xWB/XxED0zc7OESSAmQiqOwnskRCwWr2A0EsY50QrYgERXNx05wThBsATvMcbWwSiJqChGTf0Zk0iSJiS9lGve9Tbu/Nf/BXWOTrtNqZ60kzFaHdD+vh+kt7zEwUcfZdvsX9J52RuIhSBqOPvAUbZcs0h7/wtw3QXsW65l72iDx9/9B2TtlHJjUiezplQh2TzH7DXXk159HXNb7+b0V77IxlLBeH1QH/so5AUz+/bQ3dyMPWo0Go1Go9FoNBqNRqPRaDQajUaj0Wg8NzTRl+9ulyr88mHgxcCVwH8WkX+iqv5b3YiIOOA/AVdMb/rIxVvit6Y332dycsjpfBWZTdm0a47Vh8+BQj6ZQDAYLzBteVhfWiMuRmwvhZEHEzHtDMmL+oJ6EIoqRwJYUgpKDAmu5Vg6MSJNhvjKEKcjeWLl2XXdlYztkKIKDA8N2H35Faytn+PyV1zPvX/+aYzLsJklFJFiPIFWi2zGUW1UjDYGCI4yVhDAteoRRcbaenyRhVa7TR5KxAhFWWIUgtc6qGCUWNUX8Y0zxDyi1mAtJInFiq2bVERxKH56wR8RbOooJ4E0tQwPLbL3DS+mu7rCkb+9l5h0SJbXWP70vey6+QpWPvVB8sdPsv0NryS/YheEFhy7hWz3i6iMY+KgPXLY03cRzm7wwPs/hB2WaPs2ttx0NWkwFDbApMSLQYuIaB3sAZ4YRwOEGBERkizFREuo6kM0xgjWYgwYcXWYQAOV94izqI+EoBBCPbrG1aEnpxYVJajHpJbQMsxtWuDciSXSdkK73WZjPCItHbO7trC8epZ+Z47O2aNc9b/+GOP9L2fHlS8mfOLPWT54Ak9gcWKYIPQCHFsb0TaGLddfyez/8itQbiAx8PAf/wHm0FnGLsOEepxODAHrHFEibtpMk+c5nU4HX5XEylJmSnfvdjLxnHrsMXad+02O3/8A2fbnMfnP/4o9P/T9sOk6mN1K7+BXMFfsY647y9KxJbJuB4MyWt8gMV2GgxHthTZFUBauvZzTDx5ETy8TfSBb6FEaRU+vYkhxbWXHlbs5ffgE1cQTvZK0UqqqIhaKKgSUiCdJLSZNSLstJK84FyqyUiljTnvbLH4jR0+vc+TUx9l68xHKuA5LDjGWutso4qwjbSUIUOQlzlowQhSl1Wsj6lDxLC+epeU6KAGbJPS6LcaTnBAqzn91ulab4XiM06Qec2VMHdIRQZwgYlAMriWEXCEKahWxkLVbGAXNDPf97vtouRYRxfQSNMA1Nz6fgUSO/tkfs/en3orcfx9mz7Xkh45x6C//jD37r2XxyCLz3QKwrNxzC4krkVOnsUHxGpGoBB/RGMk6Lcxsm7k3vh2jM6Bj5KZXs2P1FPn4EdQF4nCCpQ60jR46iZ9fY/YSn1sbjUaj0Wg0Go1Go9FoNBqNRqPRaDQajaejGXv03e1ShV/+EPhVYAvw88D3iMi/Bf5KVQff7MEi0qdue/l14PrpzUvT7T4rFvZdiStyDtz5ADvmN7H68DJ5K6BesTEhSQ0GQ+UD42JCp93Cj0rKlSGzW+YYDz3VqMLngVhFlLpqRbCohjpoogVx3WKdoMZgJeASh20nuHbK0qmTdBbm0EFByyrnjp9gdWnA5MQXoRLoWua2LDDZGGPb9bZHyyMAkl7d8kJwiFVCCMRJXrezxEiSpiRZQjEswUf8OOBVgboZhWgABaPEqBhjkKioeaJOKsSIFUulEWMhBjBWCXlFyGCu3+fKf/ku7vz1/4+ElLm5GapqzI2/8WuMt+3DpJa5fEz1+grSSCwzVj/ybja97OXEOz5JNdMlyTZz5E//BI8wXhwQgmJtRpwEznzhUaxCCCWqoKEOs6gBmYYXQghoUMx0ZJG1lhhDHbiYhllAUR+IVpmZzRgORpjKEKPiYh2cUVWcq0fExBhxqUXLSBSw0WDVEkeRlfFZkszh+i2yhVns0THbL9vG+vEV0pkZss0znL7vMAsvfiXJX/4J3RtfyaE7H2dbdxMbGxsEq2RFSYhCVlbs+9VfxGzezOIXP8jZj38OS4bs3cSwKFAx9f4vS4w9P77G4MsSN9smjHK2XrOHw3c8DG3BXbaJrc/by+pgSDy9jL3hxcjKGlmaMDk64I5/9W5slpKIQ2Z7tN1nOXfyDO2kg/cFziW0Wx3GSzliAuW4RBPL6OQK7TRjNFqn0++ycfQsSZJQGsVEjw2G6BzFpB7RlPUde/dfxaO331ePp8rH9OdmWTu3AhhijHSyFuPU4Q8cJ+t2EAujjREgdGd7ZGI4tzqktRRR40HrxhVjpyEVDGVZogECkVQMo7UxFksIBd57Mteqj3UMoQwMizFiFDGGGCqyTkbAY3liNJBYg7NgUotNEzZdcTmLx06RIpRVQVX3quAq6C10SWd7nD14Ao0RtRYBxms5ViJHzpwmP7pIkcHo3f+RrN9HP38HUlWkWUL/x99BZ3iKeOhx/HiRlTtvpxgMMIMcMSniPWIMgVC32Wjk+W/8UdZNj2z1JIf/6A+44h1vpxyPCcMCSk/wnqTbxrUT7KYufi1/Bs+ijUaj0Wg0Gt/54onHnu0lfPuOPgOvYe/VF3+b365n4nU+Fd9kXzyVY8js/g7cn41Go9FoNBqNRqPRaDwHNVOPvrtdkvCLqi6LyD8G/hJoATcA7wGCiDwIHAROAmOgADKgA+wCrgJewBNBLQVy4J2qunwp1v/1nPzsnaT9BEYVq0fXyHod+v2E0WSMXeiydmiJVBMslg4pvijr8S02YX1xHRGpm0bUEH1F0muhZQVO6yYKJ3TaGb705IMCZxw2tXijaFFSFZ7MGia6hmaOPa+/nvGJVdZObzAxnv58Bz8MnD1wEpMmVFUFqqgoGiN+JKBCVRU455Cg2MyhQNZpQYTRxhAN4Iu6jeM8sedbLeqGCGMMJjFgBDRgjCGEQJI6oo9gIwah8CVVGTEu0mulrK0OefRX/wMzScKkKtArt/Cyt/4KVX+efigJwSFZDy0npFGwfpXBPUfZ+OpjzF+xh8UHDjM302ZUFZAruISUChGhGldIXVKDPmnsi7UWlyaUZYVBMBjU1PvEiBBCwGj9WlyaYK1BjZB06pE2K6fWiVVApN5WqDwqYKcjj0QEouLLQNZOkRTCJBByTxTACN1uhkShPHmOa3/oZo58/l5G+YiZ+c2ICOUkZ844JgvbqYarjEcjBqtDWr0WMws91ssRdmmE6bYZ3X4fdq7FlmpM/6ffxMZdD3D2xBKd2T6TjeE0vAH+/CgmIOmklOeGSDvlyD2PYjotevN9dt/8EkyvS/fKKzm5/iUe+ejHSIww/8JrOXvkKP1NmygmYzQoujpmHCJ906X0FaHSC805DsFHS9rrUozGkFiGgzHWGcq8xKhhaDy7b7ySuR1b6c7Mce+HP8XzXvx8HrvtHlJtcejuh+n0egzHI2xQlk4sIamh03H4MrC+ug5zGSaxDKoxzjvC2GMVYhQGBtoPnyQoWOqRVTHEOpAVLcNq9MTxoAllXqEE1AlBPb3ZHuW4uPCagvfTgFN9yjSmHqFkEVozXYpxgRIQm+C7wtYX7WPu5S9ldMddzF7zCtbuewDnPYkXtlyzl9UDxzi3tIxbXCPK9DlCQFXJJCHbvRnbclz7E6/lxP+4lSgZoTJUISBVRGYS7nnPv2dhbYIkLcIX7iQuD+n0epRWwZp6dFeoRy215rvYbou1R+4gvWoH5swxrrrxpTA/j88LogMKJUlT1Ahb913F4kMHkG+5n6vRaDQajUaj0fgu881CN08hKPR0QlZNYKbRaDQajUaj0Wg0Go2/T/4BDD4SkZcDvwG8EtgEDIC7gf+oqh/8Bo95J/BLwPOBErgV+B1V/fIlWfR3iEvV/IKq/o2I/AB16OX82CJLHYS54alsYvrzEPCzqnrrxV/lU5ft6HP9T7yOuz77JaqHV6nWxtixxXtPXM5JTIovKyqt6lEnqlgRvK+vJle+QqNgXd024vOCGMBGS6EeMYqf1M0jxtQtFVIJvU19Koo6pNFvUY0DC1dt4uStB2h3MxZ2bmbt5BKDsxtYl+A1QlHgkqRudUiSeo3RI1jSNMU4wVpLWRR184mPlON6PTBtejH1yBab1CGPKBExgp22nagqgtKZ62OcpfAF7XaPyWiMAaq8xLk6QCIWClVS51iLSpSSy/ZdwULmKPubEQNVAOcsw3yAhMjBP/19Jg+eRMcFAgzuegxRWFoegkSoyz2mTS6RGAKGepSTmLqZRoGoSpmXiAiKEsMToRARQaYhFmMMaiMudURVimFJ2k0wibJ12zZOHTtV389ZxJk6CFNWqNZNOOqVMkS6cz3yskSdIZF6P22sDXBisFnKgx//Ile/9mX4bsKRT9xCjJG2pJx9/wc4feQUNihlUR8zZV5QDXJiCjrbIyxvcOSLd+Kloj+TUm58FWlndOa6xHagk2cUecDYhBgqxELHJBRJQqvl6Hc7lBbWTp5jUo6YfOBTvOCdb+HAV+/limv3kcy1mNt/A8n8Zq7euZlsecChe++GpQmjjQF5rHDtDFtayCsURQykWZtKJ6ytnqPd6mIyQ5GXSEzq/aPKXH+es4dPIuPAkcGjuBAZDTewJqGYTMjabbbu38uJux8lyTIWbt7Pyp2PUERPq5dBGTBB6ey/nN6OrcT7DnNsZp3k9JhhnpNkKWuTgiTLqKoKiULUiEsMIkqoAqlN6+BWCuNRQZKkGCtUk5LhuXVsmtQtL9NxYKGK+BAwFpJWguslVGPIhxNcKyFpt2jPdGFrxvxrXoMbjVm84yFu/N9+mr2vfg2P/ukf05mbp+MDSyidXpdQeUwlVCGgAr3ZHoUvCUvrrJ9eYe2ho2S7NxGX1rj6B76PSUc4/skvIWc2aK1Yhm1La75HOrOZHS/cx7G/vYNkoUu+OkSi4qtQjyUblVz9m7/N8kf+HP+BDxMHE2IqbL69wr70pexo9zl994PYsj4pn7v/caIGdPJE6K3RaDQajUaj0Wg0Go1Go9FoNBqNRqPR+E72XI++iMhPAu+nLgb5KvA5YCfwfcDrROTfqOpvf81jfhf4NWACfJK6jOT1wBtE5CdV9cOX7AU8yy5Z+AVAVb8sIvuAXwR+Bng5T+0YVOArwJ8Bf6Sqz3ofwfDokNve/VF27NvF6s6KcnVEElOKKidxKSEEZuZnWDu3hiBIiFS+DrqEEKjLSBTEIInFBLB2OooHSJKEyntmNvXJ8xzjLIl1TAY5SfH9gkwAACAASURBVOZI51I0BrLdXQaPLhMWLKGXUa4NSTspWa9FlnY5c/wUWZZRVWUd/iCSJMmFkT5lURCjYJwhaWXk09BLBGxar9VEg6oSNAAGcVKPepGIMYIYgzGGSCTagDpY2LLA6vGVOjgjEecsVaguNKaoh6Ka0On3CIOKE/cf4pxrw6f+d9zmLpJHXL9FsMLG8gp4R+brsEkIAQl1W4YaQIXgq3rRTEMsPGlskcQLt5tpmAHVC60o58UYkXpzqEZUBS8RQv14LaHb7jEpxjgSovcEURJxWOsI0+cUFRAIURmtj3DWYje3mOQFncJRVRVRhFCWkAjLJ05gfWRm73aklTBZXWXLdTfDwRMUZcBEQY3WbT9ZRn9bn+FoRH9zjy1XP48H772f6/7PX+LBf/57zPQ6jJbX6cz28ImBSUkIiusaulvnyW7Yz/59+zj9+c+xeOAothRCR9h3ww3MvvzFlMtneN4/egcuDtnB94J14DfwaULaKdg0vxnz1dvZM7ePez/1ZTI1TKoCkxjSVsZgNMQXOTt2b2Pt7AoiwmRQ0DYtNCqaWFQC4zNrGANLq0dxbUd32yYmZ1ZJMoeZ7xHPbLBBBW0hz0vMw0e54Udew32fvQWtIsFXhAFUdz7OojxMYlJ6zjJMlJamdeAlsYSiDr6I1AGvuu3Ik9gEcfXnbTSckGQpZVWQktHu9xisDNGgWA0gMg1GgQbBWEOr1aIqC/ABYy1VVdGa7zA6u8rlP/lOOjNb0Pwklct5+L0fYP+PvYl46BS6pWQ9Bkpr2L1vLyEvmb12L49+5POEoOTDnMRCa9MMw3MD0MD49AqthTke/avPEB0EQx2e8gFLCqsTBkdXGctBTCdDhnk9wijUx7gGxSYpa7d/mpldm3n0k19h/y/9U4af/gSaJHS3X4Z57DDP/76X8eBf30Kilmt+/HUQcth12TN6Hm00Go1Go9F4Ml05/Wwv4R/GmKNGo9FoNBqNRuMfGB1tPNtLaDQajcZzxHM5/CIiDvgD6uDLT6nqf3/S390MfAb4TRH5Q1U9OL39ddTBl3PAzar62JPu/zngT0Tkc6q6+gyt+aJdTFTVY9/uNuRrAwCXkohsBm6krt/ZBvSBNnUqaQCcAR4G7n02Rxx9PZ97ySs0SiStLLlGnIu4jqPb7bK2uAExkrXbVKHEVxWChTKCg1BGVOuwhbUGk1lcWjeoZFmGlwpnLcEr3dkuWafFcDjET0evtNttQhq58XtfygMPPMy2bp+zjx+nt3WWdK7P+qklBitjKALRKyoAEWsMaB3+UNU6UJPUF+6TJME5R5qm5HlOURTYxFEVJdYYfF6HTcQ9MerIOiEGyObahLxEnCUYT9ZKSFoZ1YZHQ4W0UiQqsQgUkwJMHURQrYM4piVUeb1NiUpAsdNggqpiFLxV+v0+w9VRHVKJemFUjLWO6EP9umKchlgsMYJLgGnoJYSAwHSMTR0MMPbrvLkiZO2MpFOHmPyowrZtHQAqAiFEQlE3xtjEoMITo54SR4wKsd7vSeIIEnC4euzRhaeoW3R6m3p4jYSyIp3t0p7psP2m/Tz26a9QrozRAMl8mywYtO3Y/qYf4Nwnv8Awz9HgaU0ivVddg3l0kd4Lr+LYrffixyVEZf7aXaw9fhqqSOfa3Vy5fz+nbn+QjVMnyF6wl8nDJ+js2cbCni1QKPbNb6V74iiDO2/FdWZov/wV+Nk+GlN0tER52x2MV5YYrayw/PAJUskgqUc8JUlCMcqRIERz/vios3W+qupGoRhxSVK38ojDppB22nhfEkJg70uu47FHD6CrOVtfdg07r9jNA3/xGaSAHdddztLho/S3byauTCjaYHJlMhzWgaYgiFFam2cxEYr1ITaxVEWFL+qWo+A9KhGxCU7qz0EUsAheAp1OBz+pqLQgtSnlpH6PVSImcfWx6T3GWsQJruWIZSSEUH9ubUQkks7PsmnnJrjyarZE5f6P/i292RlG6+tc949/mpV77+bx+x6kPZPR3r2dWTImoWD1/iNYcehMgowKwvQ4EjVgdHq+sH8vtCXTcA6mbphypt7XYdpqJCKEluWGt72RUSjpq+PQZ27BtDNs4dnzM28hv+MexmtrLB0+Dnk9fskkDkLkmj/+8HP53wnPLcMVjYfufbZX8YyQmYW/e0Or9/Xv9w1ubzQazwEueWr36y003yuX0sqp51SN23dd+OWbjcu5aM9z+OJvc+8V3/w+l9oz8TovhmdqXz2FcUpPxTMxPkkWdlz0bX5DCzub75VLabx+8b5XivFF21TjOSLrPNsraDSems5s891yCempA9/4u+VJ3xXf7eEX6c4820v4ts/j8jQfrxfz3wzfYFv/II+v4To6WrukTynb9v79274Tjt1nS9apj/tNu5vvlUtERPIEso9s2v6sPP+bz52hgkJVW093GyJyHXA/8Iiq7v86f/8R4MeAt6vqX0xv+wTwRuDXVPX3v+b+/w74Z8Cvq+r/+3TX9U3WHHligs+3Q1X12y5uuaTNL19rGmj59PTXc4pDSBY6fOmTD3LV1q3M7EooNpRqY62+EC1CWZZYkTr4EiPB6oXQBihp24ExdYBClVa3g0uFauLxVSRpOzbW1un5gEsdScuwcMMeTt12kKzd5sHb7sIsdHnk8GFmbMY4Fc7dfRA1jjRLKKKn22kzHk2w6lADVVnSaffwMdShA1+vJy8L2iKsrdXrN86iRYVVg1GDy6bhEaM4a6aNLgZpGbKWMA4WmxkSl+HHHqoSjICzGCeEPNRBg8QSQpxewBdCFQhGMG3BIIQiIB5i+URzSwColHGcAPXFfK8BayziLBrrYEA9yqhuloFpICV6XJqgF/b7tOHFAFrfFnXaCiNyoRWmGOdURUXaS0m6CZNxUd8HMAgmcwTv60BCUn+M6laf6TpUQamDMArRTGtppmOVlICmlpGtqM4O6M700HGJbJrh4Me/hHpw3Yw48rCRU2CoxsrJ2+5mx0+8HvmrT9FutTj92EnS2w9z+T95O+d8xeSjX8GaSJjJOHvXAaxrEzSyJ1pu/YuPkanhmrd/Pyc+cQvb3nAT1UaBueIqurt2s3z/3Rz4m0/iV4csXH8Zu+74LNkbfgrJ19m47y42Thxh9ZETpJ0MKw4sxEJJXUo+LFCvxBCJKCEGvHjECpIIRSiZmeszv2me0ydP09rSxhee4dqgbhECVg6fZPf2bQxlleFdBzl+1xFMYUE8px4+ggoMTq3gts4SlzewSYpYQ5I6dv7wzVRHz3LmgYOoM7S29Nk4eQ4NYKLgQ0WaZVSxqoNYDoL3iKmP4XanzWQwwpkE6xPy0mNTgQBGLEpEDXXwRerbYxkvvO/dfoe1jXX2vHA/p77yMEsnVjCPnEBedCXVqGCtWGZm8wLH/vavWV0ecP2bX8vqVx8hWQ8MZwpmshZrtg5dTZaHZDMdyqKgrAJQh16M1KOXzodgzh/PaqYtRrEe6eSjvxCQERGSLMEIHPzgpwgJBI04k+BiZNxLeejPP8T27duZ3bOVOMpZOlKP9IpWUdf8m6zRaDQajUaj0fiH7OkEvp6JwEyj0Wg0Go1Go9G4eC518KXx9Wkxfk63kDxXyXN7rxdP8X4rACLSAr5/etsHv879PkgdfvlR4BkJv0ydBR75Nh6/D9h6MRbyrIZfnss0Ncz2+rzoeTu47ewqr0524uM04BCVIGAIBLUYU4dFLGAzh68iEiOi4DWSRIsHwnhMf9s8QSNlWVCOK9KshXGW4caApJNy+JZH2Nybh1JYPXUOc2KDFhDagdEjS2gEiYGyjLiuYzKaIEAVAjEaDJbRxqgeXSRCK2tRek+MSj4osKkFItEHXOZIMkd3rkee54wHJVp6eFLzRJI4JuslKmDVUeSe2c0disUhMVE0WspSyVLDKMS6CSWURGHa8hJJQoLf8AQqZmZmGOYDROvWlwB1aCZClZf1mCURkrTer4SID7Euf4qKcn7skWLaCU6S6eMM1lj8tLnDe48RQRGMsdhEUAUtAmIMJIbINEAzCbQ6bfykwIdQh1tC3QYCYJIn3mMkEuvCjTpYMw3lgNQjn1CKREg0RScemytqHb70TKoJowdG9Ge65GFMsm6RzGE7LTJRdv3sD+IeOcnyJ7/E+uqIc+UKSdvhtnY5+IGPMlrbIDOOYCK9ypDu3EblLJMz54i9hP1veiXlqVUOvO+zGDtm7faHueyHvpdkbh9nP//XLN17H9lqyczsPOP7TiC/8y7K1QHDR25h/e77WbjpWtRYho+eIhaK7SnSEnxRYiz4CjCCieBj3bJDFMQLLnVUY4+5vM381btgOSdfG6MlVJQIlsHZDcrBmOFK3eYyifX7FitFJTC3bY4yFNhhSagM68WAdrvF1pdfz8mPfpG004Vo0NUSn2a02hnlpA6CBIn1+KtA3cSTWZyxOOdw821CjDifQgVqIuIVNZC4hCoGUCVzGV7r7Z1/bw2RVDLyYsDs1s0cOPo4e79nB6cfOkXLR07d8ggYg0ZYW1plVubY/8obGRw8zsSXnFhdJTsQWakqbGIYlSMiynAwoNVuA/WEt/MtLkYNROqGI0CNkKR12CqUJcY5DCC2/ty4VsLc91zDym2PUBGhApO6+v0oPWkRmNuxlc5sn2plg3xtwFgVZ8FUFZuk/cydRBuNRqPRaDQajUaj0Wg0Go1Go9FoNBqNi+g5HX2BQ9Nf+0TkbefbXeDCGKMfBA4DX5jevA/IgCVVPfF1tnfX9OcNz9ySAfhrVf35p/tgEfkT4J0XYyFN+OVpCrnnzNFFtJfysoVthHGomyGS6QgWVSQYhFgHAlJL1m8zWh1gE4sxjhgCLWvxKEmEmFhWjq0AhqzbIeAxBopJjqigZcSqZe3caj0i6HzzgyphMg2CqcEmlrIsMRNThwdiRNJIb3OHyekJLnN184gXhsMhMm1KESe0Ohl5KOn12kw2xmhqGOclkyKn2+tQjuoRNTId20RQ0jSlqirKwuOspVwpmTgHlFgHruPQicdgUI1kWUqownQMkOB9qBtSQmS4so6qEgGb1OOMBFARxBhCqFsvQh5Q9RjkQsuFGiHLMtQI3nvidNxOq9Uiz3PSNMEkFvV1O4kotLsdxsMRoRKSboJNO/iiQqjDDfkwxyUGP5mOvgl1wEls/VrOj6GJlQdrSNIEtZE8BMw0I1SvT1FjAKFtlHRTGz8oKYYVlrrFw03HBA3LnPSyTXQnwuVv/l6Wv3oPSw+d5LH3fpxyNMEGJZ93zIeEzpZ51o+eYzQegDdYY2h1MkqjDE8to5nDWTh91+OMRyVJ5qiSEim6bHnrm3j4C1/EHPoU+3/hp1j9yn1MnDC7vQt5Avd9EbdlL8tfuJ3u7BynP3ALVS8hjkoAylFFp9OhkkgoPKoRkToEdD4MdP4Y9WUdsDpy1+OYzGLyej96H7DWoAT8sMAP8gtjuMQagvfTJh/D+uIaxlomkiMi9PpdiqJg7b5DuPlZJisDqrxg4bLtdDbPc/KhxwkhYKwhk4yq8BgnWLF18CxGdBJQM6HMPQub51lbXiNNUwpfYKKl8iVRlbSdkmuOEYOi9TFVFiS9Fr35ObLNMyzefZCX/+pP88i/fx+JM/iqwvu65ajbazMe5VQrQx76zB2IGLZfuZu1xxcJof7chioCEWMtYMnHxYXwlJ3uR1SJIVz4PBgUX50fe2Qw9olesbSd0Zrp0TEJq+dbjazBiaFYrwNGM9fsIb1iN0fuf4jLX3Aja/ccIEW5+vtuZnljneHxMxf1vNloNBqNRqPRaDQajUaj0Wg0Go1Go9FoPFPMczj9oqpBRH4O+Bjw30XkN4CDwA7gVcDtwM+qajl9yGXTn18v+IKqjkRkDZgXkb6qDp7RF/D0XbR3rQm/PE1pN8EXHtcNuKSLdmGyNsHnEZtaXJqABoIIIhZCpBoVJC7DpRZJlFg6xCi7rt7B2VZOceciSbtFqDyT0RibGVyW4dcLTJJiFFqtFE9BVcYLH16TOEIIOOdozaTMLMwyXh5ThIKs1WK0MibJDNVqwKUWFaUqBGPBiSOoXrho3up3KNYrvPd0Ns2QzaSUg4Itm7YwPDdAErDO4HDYzDIejzGJI3GWaCyxrBi1hZt/57eoCkXWllm8/z788TPkpzZYP7sODoyzSBkJVahDEud37PQiv6ii50cIxQgiRI11E0sIEOvHxFg3tcQYybIMmyZMhmOSVlqPR/Ie9R6X1Q0elunIKZdQliV5nhNjJO2lKJA4hy8qAsrOq3dw7sTKdMyM1O0gWQJAUI8lBYTdz9vO6YNn6maX1FIFJbMp5Wq9bZfUjxELacfhNvXZsXcPS4ePY9IJZV7gq3ChMSbrZuzYvBW6lgN//DHGRUQSIQ4LYhkwmSNbKhkWBUUijIdDkpAQJKCVUg49hJKA4sZKUZYUaYUVw7bLtlNeuYPtL7yOtZOLxAOnmd+xGV0+w9VvehUbCSwfPMaWtiNrGe7+4HvR0xvky2NiEajGHpcYXGqpxoF8MiEGUKs44+oQ03TsUx3IkAtNOaHyOEmIRUAR1NcvOISvHQUnqBEgMLcwy9q5AWL0iWMBECNMJgW9mS5jE9l72W6Ojx/n8mv3c+rhx8nHEwStgzOVENVj2xYMJEmKa6ekvRaDpRXycYEtHetn1xGN+EnAZAJETGkxADEyf/k2BkfPoap477FB2XPDPsbViE0/+Q4WvvcU6gv2/tYvk8wucPjf/R6jxXWcS+jt3UI4uki5WiA9Q7K5y3BpHauGoHX4y9QZNEII9XF4fhyXGlTrJhcjEZfauvVFFX1y2EggWJjduZnB8RV8XjDOK8KkIFQBMaCVp6j8hVDcufsPIfceJDjLydO3kPiIROH47fcwv2WeXa966UU9bzYajUaj0WhcTE9nXMs3dfQZ2OY3fK7Dl+RpwuHjF35vr9hzcTZ6idb+lO294tleQaPRaDQajUbjItPRxhO/Xzz6LK7kO8C2vc/2Cr7tq5L6DW6XrPNtbrnRaDT+LvPsdr+kIvLg1/sLVX3BU9mAqn5RRF4DfBj4nukvgAHwt8CpJ929N/05/p9scgTMTe/7TIRfXsR0DNO34f8Cfu8irOXShF9EJFB/Nx4EXqeqx7/JQ77Rdl4F/OH0j7eo6i9epCV+yzSFmZ0zbBzeoPQlZSjp93pEFwnDgPclChgsSSfh/2fvvaMtue46388OFU64+d7O3eqgdrdaOVm2bMuWjW2ZYMCAwYDN8rwBA543nnnAmyE8YJjAWxOAmXmPR/I8BgMPbIPBASdZxkaSJcuSWpIVWp1zvPHEqtp7/94fdTrgMSB7WhJm7U+vo7p9TtWpfarq7rO06tPfb0g8ogKuV4EJBO9oTU/hB0O6Sx3CyT5GJ5TDgiRJ0FZh87SuEZqeoN8bINow7A3IsgzvChQKHSxaQ5XBtluu4vij+1g6Po/PNdoahsOSjXds4+iD+2g0DR5Dq93m7LEzGK0IBBLRVEqYmBknqIrGeBObQDGsCEsOm1tIDF4CIRWykFO5AiWaVdvWMVzuUnaHhCqgg2amlXHs4UeZaLVRY01mV8/w1L27oaIWf1JN1a0IlUdCQJ2vDIILcoMeJaoAF15XWqPqXiOUVgSExKa44Gk0mmAUvZUOxlj8sMJLIGvmhMrjyzqZBFOnyZzfjzhfp7eEWnaoQoVKDXnTsnR6iaRpqQYl3ktdXZUC3uDRtMaaFEs9zp1bQDQEEfzyEMlAl4rW+BhlMaQMAfGBVBnydotiZcCpk8chgZZtYacyiuUuidYMVwqKYcHRe5/C27rmxnsP5ejYiEaLphpACMK6mTlOFUOuef2r+fKHPkfZKwmhggqUrVNSNl59Bb35Pm6xw+FnD9GeP4vae4TSKtICVOF48k8/zaq1a0h0xfo7X83B932IAweOse5l11H19nN60KUCTBDc0GFMvX8/cChVN2GVoaoljFBLSnU6jlyoo4JRWlAQ5H/44lG40qGMRie1LCZGWFnqoA0Er0jbKeWgJEkSvHNQCQsL84ytmWXPQ09iUs2JvYfwSlGt9EhtRt/1yRs5QYQkTyGAKz1D1ye4QG5yxATS6ZxyMMR5BaFCBRgfH2fQG1L0C1Ru8YsDJFVQCCEE1t+wHbtmgvnP7uXcz/4bgleUlTC5fozVV72E9du2sa96GrN6Nc2rr2Fl+T5k4KAM9I8sMBCNBIU2iiSrzRfnajHFh1DXcmmFqProaaXQejRlj+q3zstg3tfXMSUsHTqLEjBWkbUbDLp9ggTyvAE+4L0nuIDzjoT6fzqMg5KC1AuSp4xtmOPU6QXKRx9j3Zufhwk0EolEIpFIJBKJRCKRSCQSiUQikUgkErnMfAMHvwCglHob8P8CDwDfBzwJrAN+Evg54HVKqVeLSMXFj/s3OYbwPB8SEXnsMrzHUeDr8ke+khc6+WUr8Hml1J0icuhr3VhE7lVKDYDrgS1KqZ8UkaXLPcjnghYF/YLxmTFWljqkJmXoCpoTbVB9MtWmvzwgzRNMy0Ji0V4zMH2M01A5kkTTK4TesUVs4QkNgxYNIaCMxgQFaAottGfGWFpcJE0TRAJ5M8c2EtJEYVa1GXSGnDxwnHK5RKxgEovvOSbXT3P60SPocY2QYorAuZNnR8JHQNK6YsU4z2A4ZHpmkn6nwKuANoHKe3y/YjgcopRm1cY1zB8+i8ksygjdxWUSY3EojFHkcy0mr9pA2rSY1avQKuXgBz5JW6X4sZThYhdcLcEMi6q+wT+SXEya1JKL1BKAUupCbQ4jiSJoUKH+DVZaURQFxhiGvf4oJUNhlKYsC7TWlL1hfb60BqUJTi6IL3VUi76wH60VEiCxmsRqim4JAy4kawSlcIWgdEXWSNnxTbfw0J/eQ1KU2NRQ9gpsI8HrgJ3QIGCShHQYCHiCFpYXV2iON1m/eQO7X/12NnzwdygO7kcySygFjAYfCErVtTulw6AICkIArWHYGRBCLeMcfXQfWmse/L2Po6WWJYzRpGmKLyuarQYnHz2KbSVgYPWmtZw+fYpqacDq63dQzvSYWruKVa+4jjSkhPWrOPKRT+K7JRtu2IE7Po9rZ+y8ZhuH73uc3nK9b1/VxxeRUUrL6BgDaIWo+pxprUbJLnWKCUEu5I0ZU4sb5yUO0fXnzBsplTiMaEqpmJmdpDvfw5Ul1lqqsgSlMMDczByhV1KqWj4KXnCVRwPDYog2mqqqsLllUBZoD0mW4rueoCu8gsbUGGVZMr1xDVXwDBaXMCahKAvaV8zhnj1JKAOD4RDRgveB9TvWQ6eHO96hXBoQxKCCx7qKlZN9Vk58iVQUCsjkHCcP3025VFJVJVprrCQ4HCYxmNSQt3MIQq/TR41qvwS5kNAiItjUXJh/DBd/vrReCsAaRfB1IpTOLJPtafrLHcruAAFEQWINIvX58r4WbcZffT3V04dZ+6ZXki4OmN7hOPXgQ5dnwoxEIpFIJBKJRCKRSCQSiUQikUgkEolEnmfUi2u/lM814eWroZTaDvx34DTwLSLSG720F3iXUmot8G3AO4Hf4mKSS+tvedvzEVvdr3dc30i8GLVHm7gowOz/Orb/L8B7gRR4A/D+yzm454rWihJD5+wSBoOp3QwGZ3topRhKH2s1PlS0TJNer4+rhHzMcutb38R9v/NRlo930EpI04yQOJQHkyiCFqwxlGWJiDA91WT+8Dza2rpeBkvIPP2uR9oJ7D9LqRTFoAQLE7PjuFCRNlKStW0237YFVwWe+eTDpM7QGh9j0O2jRGFFIQSSVkLwsHh6qU6bEMGmCQqPzS0+gAqOuS0b6a30KFb6pNvW09q8hunxOQ595J66PmbC0GpOcuQLX2TjbZBfeyvb3/JGjn/iM5RaU80vk6cWHSz5WI4rPb6sSPIMX7oLKSFa11JKGKWInNfVNAqhTt5QorDWUhfk1GkxXgJo0MoSwkWBJvi6HgnkQpKMSewF8QZfixNJM8WkBl+EuibJmHr9UEs5dT4MVH3HEx+5H4vBl0JQFUkzxVVVXcOkYHbdNP3ugMVygTzPqaoKbROWOsvow2d4RWOFR/bvJ0fTOdsla6QEfF0b5BSBCpzgAKV0ndQjtSBjVC1h+CBoo7HKELwnTSzKGlxR4cTjln2t81X1+osnzpGphJlNMxzaf4CdL72B/Y89iezZx3irzWAwoD/fJUkSFo6eJB9rUS122XdsN0VviAQBRnJV5S4cO2UUUAtEStVShYjUko4CrWqJo65BAmMMWutawhoJNMbWVVziKmzTUDnPhmu3s3LgJM3xFt3lLs67OqVHBZwIi6cXSZsZ3gnBBRQBX3pEawSNVXVdlVhPNtVGugVZlhEGgaI3JGtn9Je77PqBb0Fv3oxOZ1na/yWKE0dYfuApGiZhIQHxgiiPAFNrpphdv579+/YxuPeR+rP6+rw7Y1DlkCRJKL1DaU1noU8Iob42pA5bk0zTHG8jhUNZg2joLdXfX+F84pFSGKXQ1uKtIF6oUkVaXZyHRIUL4ouokTuF0JpqU7qKclhQVRWSWUzlCeJBFN7VQg1Go0LAJZris08x0I7Dv/NhvPLoiQbb3vCayz11RiKRSCQSiUQikUgkAs9HxUHxtyV9R54TsXoiEolEIpFIJPINzjd48sv3AQnwiUvEl0t5P7X88hpq+eXI6PkNX+3NlFIt6sqjJRF5PiqPnhNKqQz4fmAXdcbFl4E/EpHycu/rhZZfetTm0Xrgc0qp14rIs1/je7wf+L+BBnAnL5L80lvoY6YTQtejM49vJigHogVlE8bbCUEHfMfR63bryh2l8J3Afb/5UUyu0VYo+wXOgccjTgjGkJr0QpqD1prl5WXMmCW1lgCoBK5/y53MP3aQfNcVuPku+/7iSzTHMq57+130lhbpn12mOrfM7CtvItE5/sBh0tVtwtkBRa9fCyVKEdTFFCRjDKKF2TXTLJ1dxoWKpFGLL41Wztj2DSxJSaPdYnznvGN5gwAAIABJREFU1ax/57tBHBWWHZu30//Mpzl99CSDlQW2/cA78L0uvc4Kptdl1WtvY+97P4wMS4Y+1GkXjZS+9DF5RtV3oxomjdYa51xdbyS1uAL1zX0vASV1BVAItSyhlKrFlkSTGE2z0WalXESFUaKLuZiSERgdV1Xvw6hahHEhoBNDlic0Wi3OnjxDs924UEMjvq7sEecxQaMmLSqAzTIIHq0tg+UerYk2pSsgwNLSEo12E6UUbuAxmaG9aRItbfyxBR77xV8C16RwQ7JGCiPhpzXeorPcRfAQzk/RHqUMYZRCA0JjLGewPKCqahsiyRJEK9ywQFMnyAiMklkUVgzDTokxmsW95zB4Dt7zMI0kJW02OHvkLNrXSS06ODonOyyfWMSIwftACPW1EoIQgoOvSBwxo5ojj2CoBSqRUeKLUvXPcEF28QhKnz8fgAqYLGXuNTs4eu8TzM1Mc/rZw7jFglarBTKSnvwlKTOJot+pr2ejNV4EbQzWWlxV4T3YpmXHd72O048+w3L/DEvnlsibDdI0ozk+RrZlljP3PsyGAHLVHONpyvzAk0yN0ZtNmD2Rs1KUuCqQjOeszHd46guPYtFoY6gKB9RyT2ISsBdrurz3GAzqwnkDrEKZUCf65CkqCMNOv04YEo0y6oL8JSrQnJsgnxijf+Yc4+tnmJ6Y5uD9u9HGoNCo0eVtEKSdMzc9TTHss27rZpYOnaLb6TC7dSML+49iyvq81KJQnaKkrGHtbVfTeMk1lLsf58RjTyNOs+P7vpeV4ycYv4zzZiQSiUQikUgkEolEIpFIJBKJRCKRSCTyfKG+sfWX8xLLyt/w+vnnp0fLPUABzCmlNojIsa9Y/6bR8vHLN8SvDaXUdcBH+euCjgC/oJS6S0T2Xs796cv5Zs+BXwY+Nvp5HfBZpdTOr+UNRKRP3XElwI2Xd3jPndXb1rJu8wb6ywXzJ/uEU12aEy2kmZO3E0rtyTdNMdCOqqooq0Dw4EKdzFD2KspehSiDiMIkFpMadr3qarJGiqSQNLP6BngPxCnSPEcDV+zczsGPP0xj2yaqosfMy1/Kbf/ux7n5nd+OabVBB6Zuv52ZnVdw+r5HqbrzPHPPl7Bn+iRekzRTlIJ0PMVYRWosUkEQh84MywsddB5ozLRwViE4pndewfo7buf0Q8/Q6/aZ/aEfoTRCpRRGQLZcw8RrXsnctVsI19+KP3YAWV4i9TA8dYKn/+gTbHzTLdz61jsJ3hMKod8pEHexdsiNkl9CCNgswVpDmqZ10skoKSRNE2yaYFOL1XV0ldIaZTS+rJM2hr1BLc6cFwhELshESkAFQXxAjyY/ZSxBCSbRDLolC8fP1ULCsKyFi8LjQwUqIFajW4qNN7+EzXfewKqrN6CKCpsmGGNwztUJHImmGJSUUjE+OQHKMbZmmu7hszQqyG/cxPrXvxydepSWul6qcCjRFEWBVRqp5JJoLhnJEaPxi1D0CtDUMpAPeB9IMgtGjxJw6vohpRTFYEgxKFCVx6AZDAsoPFXf0+sWzJ9aQBUBV5SIC7ihRwUBB977Wvzx9UMJaFdX5aDBJBaoz6HJDEmSgNFYazFGo3Utc5yXP6ytnTttADWq6AmaxpopNn3rK/DWMrFpNQNf0UwykkbKcFAiQaEcgKKqXC3PUMs0SZ4hBibnpkjyBI8Ha0gaKWma8syH7mHxwHGkqCurIDCxYRY3N8ns+lWMb13Ps3f/FU/913+P23wtrV3XMHblNra95o2o6zey465XMrdjPcV8H+UCMvQwSl1RQbCNBIfgywpFndqU5BntqTplTGFqCUspsqxBe7ZFUFD2BjCSu7TWKKtQpr5+8mbGS+66lXXffidzb34zzhpCcCzuOYK1I+PF+QvHtVKB2au2M3nLTta86maKoqAqh2gPXQI7vuXVNKcnakknS0CDSEBKz9mHniE/doyJLZtIFOjE8Mwff4Dxdvo8z6SRSCQSiUQikUgkEolEIpFIJBKJRCKRyOVBqxfncZk4NVre8je8futoeQhARAbAPaPnvvurrH/+uY9ejsF9nfwmtaBzJ3VIyirgJ4ArqBt/LisvtPxSAm8BPkwtr6yhFmC+1u6rR0fLKy/j2L42tqTMvnQrr333G5kYz7jmm28mmzbksznb3/FN2PVTrOw9i/WQ6IRGIyNp1ikNSjyY+ua/RSGpR89oktTw9P1PM71pChlCkhpCCKRonDj6ix3yyXGeffhJFo7Os/jFJ0iaY+y/7z6KA4c59dDj6MUuzen1NCbH6XX6yNkex+/9MrPXXEEYCM55yn6F1pqyV6FTA4lCNEhQWA0iniTP0QLjJmPq5p2sftn1PPHbf0hqLdd+251w9jBJZxHCELt8gvILf4abnGL8lXcwMdZC7bwNWbeZLG8xccUWbvzxd2KrAI2UJJhasCgq8AHfc+ADNk0ICDqpb+yb3OK0w+QGMoVIoCxLvHLYJCFYjc7rm/Pn65F83+HKqpYiQrhQa6SoJY7z657HJJYkMWSJwSiL0oJYCA3D+MwYUglBQZonmIZh9tqNbPzWlxPabVg7R2+hh80bFMt1+kjAc90dNxOGAWstrbzB9m+6iWu+89XkjYzx7eswFazs3k/n9Bmy2TZJIyVr5MhobMGdF4BSlNKjdJX6cV7kCUHwlUe8oIwmIATnKbrDi3KJVlhragHFGpSvP3dVlCRZWgstpcOXDnG1PCMjkaYqSopBgfj6mpGvSHlRSS3ZYDQheGo5BxB9QdIJIRAU6MQCF7e/eE5M/am0EHLY8fbvQQ8KGus3YsabrNmwgWFvgCscIkI1LACF9w5GRVgBT5okKCWMrZpEj1tC6UmtBT2SSpQiSSw2teTNHJMnNKfGWDm3wPbv/QHC9pvIb30pfnlAtTAkf/ABGkqx6uabkCd3s2HHVTz+Z5/j7NNHUYDODBICZeGgqbCTCVKVzK2eJh/LKJKSDVduBO1Z6QxIlCUfy/DOkViLF4eroD01xvTaOYZVRavRxiYa20pYu20TzXYT7xwHH3mGsx/4DPvf9z52fdtdtJMmTipUgOA9XtXHQBloNjJmt65j4B1JktI9PY8MHI3Zej8nH/oyzpWoVENusElSHx+r8cOSpx9+mIWn6iAuqRzV0oB9H/jU5ZgtI5FIJBKJRCKRSCQSiUQikUgkEolEIpHnHfUiPS4Tfz5a3qGU+rG/9rmUehnwz0d//eAlL/3KaPlzSqntl6z/cuBd1Gkx7718Q/zrKKWu+lteS4HbgJ8Wkc+JyEBEzonIrwGfAO643ON5oWuPEBGnlPpu4I+B76S2e+5RSr1BRB57jm9zbrR80Ro5rv6BH6a/+36a3/U2Nj35JKcHPfxKn9k054nf+hjKm7rGRSvydgMSQ/AVeTuh6A5J04wiVLSmMronutglw6pd6zm07wgnHj8BKfQXBmir6eQF6+64kdMfe4TjR07SDDntVpPx97yDCRJat4yx95d/lc6x08w/fYJ03Ti9gx+i8NBSlnSuzfF9ZxAJJDbF+1CLC4UnVKGWRCohTTOqnsdaw9CXJK2MbKzN5DWb2f1f3kcphqvfdCPc+m3kRig6x1FkVFmL1rYd+KFDz8yRTCTocgU/voGhDeTNFlSBQ5//fVzRw2UGVTiM0fhRkoiMZoUsSxGtCOKoqjq1xOYZLlS0kgYmtwz7BTpTTM/MMuh1KJyva34AUQIo6v8aJAg+BMxI87pU4hBVCzEiQtpq4oclOlcEDGZYkV7ZpL/SgQBewYbtm1laWmL+nt1k21azdPQ4c+tXcW55QDEoUQaC1+x+8DE27djI4pl5hv0C18o5fs/DqLUTFHtP0RhLWbN2Ld09p5DC4aqK4OscGpNYEqsZeo9SgbSR4YqyroEaCSR1/ZCgjCKEQBVcXVklAZ3Y0WfkQtqKaIVVikC9vohQDIZAfXyD8yil8N7XaS6i68QZEbyrxROdJshIMBKRC4kyhMD51BfnKtJUoTwXjnGSJHVVkVKIeM5P/+I8bnQukmaGbRke+U/vJc+gGtNMbt8Fwy5zm9dzev9JxFcYSfBlXUNlraUoB4hLsG1DYyynu9hBLySYlsFYy9z4NL2lFXr9Pu2ZCXpLK4hXeF/RNA223n4D5AnDz97PmcefpeyViFY8dffn0b0Cv3kK7wR/5BxaG3xZ1AlNTYsUHtd3uCKgRDE226a0wux1V2KePczKygppklD0hgy6HXSZ1dVPAAR0JYgo+sM+G3ZdyYlnDtBYO41tZ/QtmKkm1nuKlYLGtVtRpxfAatLXvYbWX91P2ukxXFiGyhMqh7KGqZlJqoVz+PlF3Pga/FIXbxPMeIvG5m30v7gPM5aTSKCqKtqzkwx7fUK/wCeambzF2Wf3E7zCVR6dWcIL/g0RiUQikUgkEolEIpFIJBKJRCKRSCQSiXx9fCOXHonII0qp/wj8JPDrSql3A09RN+q8nDrY5LdE5O5LtrlbKfWfgfcAu5VSnwZS4PWj9X9ARBaex2E/Ntr/vxKR7le85oCK2gf5SlYBg8s9mBc6+QUAqe+CvxX4wOipWeAzSqlb/+at/hpjo2Xvco/tufKF9/w7Hvlvd/PwT/8ES0sl1cFzlH3NfLfCiCGfTUlnG0yun6HUgowrpHSonmLq6lWkcznX3nUrg6UhAhTWc+LZE8y2J8gm8rrKZU3G5NY1jJsGg2cO0b5+LVfetINGC1aKPjz8ZarTh3jsx3+Wc3uOEypNrztgac8ZisJjUPTEsbywjPhacKiKqk4OqRxpmqBKjRGLtQmiwXuHSwPSr2tdrvi+uzj2Fw9gm02mx1pk3/GPOfa5P8Sd24e05nClwXS6qH37cY0GRa+PdgWuN09x9gDJcAUGHU7e+0n8QodqGNBeavkGhUktyiiM0YAgWtUpJIUHbchcAFehK03hKgb9Ps453MBTFAUu1EKLOW+3oOrqJCcEGYkbKCTUqSkX6pCMRtUmAr5y+GF9XHwJuIokz1h45iRGWZKmZWzdNFXbsv66bZRrp2lPTrDhlus488ReilwjoxYatLB67WqStZNkoqGdk+mclflFFh/bTwie5XMrnD55lt6gxItgK4UkFY2bNlOlUJUeYxVZK6/TaoxmetNMraoZjTGaJEkxpq4YMmiSxI4EmDoZJhmleohIna6DYBJDGOkX56umLpWBjDH1z+piMg6j9c5zvk7p/HuLnN+urjMKZcBJQCzoVGMbhrSVoBqaxngTk2l0YrHtBJsaTKLx3lN2CibXTaGbDW780fdwxY4r6DvFuT1HUUHwThB3PrlHcBIwSYaI4EpPb6FPUxvyRn1dDbp91n37q0iaOTmK/tkVfCWEssBai6xucOSJZ9n9M7/Akc/tpjvfwYW6QqoaFgydxx9YoNp7GpTB+woJBoJicK5TH2OrMQGMhSS1TG5Yw+kn9lEMHf2VPia1bL76Sky7UR9vwBohm2khVlg+cZbQGXDm6EnSxNI/tUBnzyk6e46xfOgUa27YSdLKcd0BwSie+tznGT9ykLEdG6E/IPH1WFsbxtn0htsZe/t3I6cXmT9wnMO7dxOcR1eCWV7h9P/3p8gNW5lujqHFor1QDvpsev1LUVYxMTVO6R1Zq42vHEqDVZr1t15zmWfOSCQSiUQikUgkEolEIpFIJBKJRCKRSOT5Qb1Ify4XIvJT1E06n6Ju0flOYBfwOWqR5V1fZZt/BrwTeJpaerkd+AzwahH5k8s2uK/OLwA/CuxRSn3/V4wrUDcC/Z9KqZ9TSt2llHqLUuqD1NVOH7rcg3nR/l2/iASl1NuobZ/vB6aAu5VS3y0in/47Nn/VaHn8+Rzj38ZA9dl1+40c/vyTBISuwMTacdRMA7sS6C2vYMZT7FiG6veQxZLW+klyrdnyY/+ch//Jz7CwY8Cm197C4U89SNZqsf4113Lynt3opmZsapItd72c0194jCU1pHm6wh3pULa6+OUhxhie/r0PkwwMBYE0TUdihEFrTVEEnPO1mOBqn0F0LYYA+MoTwihJxAfy6Zxhp8BmFtAYFdj8hjdw6Pc/jk407blp8ukxOn/0u0imOPrrv0Pj6o3kWUbr9d/OFz/8CdT8h5CVinW3XcHxA4tc89Y7WR6UTO/cTmuyjaRCOpXjhxVKFFKCr8IozSRAU5O3EybnZjjz1DHcoM/Y7Ts5+oVnaOcZqIDC0GgbVGYo+yWqEBrtFmVZYowlVB5BEDxILVaclzoufQQfahnECNZYghKCC4jzpM0ErwKTW1bRPbJEGAZSm3Lq4X2c9oHGplkWjxzj+ENPMbtrE3ZmktU3NXn0Y3+FcnBqcZ6ss8LaLas4c/IUB+55AD3ZQhZ7pI0Gph/ou+pC0oqzgg2K/gPPonWCB2zL4kKFCORjGZ35ZRQWjRA2N8l7wmCxi1S1DCNaoYKq00VELtZAeX8hXacUV9f26FoUOp/Igr4ouIi/5HxQVwaJSC0KmTqdRkTQWl0iHV0i0GQG5cGJo9HOyPIUZxV+waOsYFVCURRkOiG42r60qUZrw5q1a7F33s6pT3yEqSu30Nl7FGcUvijr85ZYqBx+dH6lqsd7PkVmYABXsnZujvmkx1P//cNMjU+QbV1Ld2EF5ge1LOUc/YNnuPpn/wUiSzz1C/8X3tdfS+IE7wUtikBAEoMVg6tcXeVUBpSur5d03Tgb16/mxHCF/pkO3ScPIIWgM4Uy0F3q0S0G4DweQRuDFwjLA0rxtMZamNRQdIcQhKoo0dqi+w6fpRz5wmMw06BaGaAJJP2Cpz/+eRqtNr6dkBiNbmYsPHua4dnPs+7wceYXOtiyrqKyk222f9dd9BdWGE7NwdmztDZvIP/sF5i9/hbmjx3nwAOPsvk77uTgn9+DrUay1Oh6SFsNDt63m2v+8Qs3r0YikUgkEolEIpFIJBKJRCKRSCQSiUQiXy/qGzn6ZYSIfIivUQwRkd8Ffvf5GM/fsd9fVkq9D/hPwO8rpd4F/BMReWK0yrtG4/olGJW31HyQizVOl40XtdRCRAR4u1KqAn4IaAN/oZT6qVHX0/+AUuqbgFdQH5gHX7DBfgWpSzhw31MkRtFPNWO5ZmVxhaTTBafROqHql2x+9Ut4/GMP1lUzi0MGKjD/L/8t3jkWdz+LTRLKTJFP5Rz9xBOoVqDseKY2jvP0H38GVcLs3ARJI2FleZkN123mwF8+jngP3lBqMMoQRJDKXaiwqRM9DN4E8kaG9KWWIPSoEuiCCAI6SXADj8lT3LBkot0gfckqGlddh//IvTSnKlqTs0y97Eb2fvov0QsV80fO0DizgnOO8P4vIK7OFNHWcuLJ06gq0N13jDCT4vbtR46corVplny8SffEPIm1rP/uO+nsO8LC7v2Ulcfkhmy6zdLCMhM3b6Z78BTLe08wPdMmaViyRoPFUyuQ1vJGWZY0kwZOO2gISQUloJTBhIB3QpLWkSzBC3r0mb0EtNGIgBJNUCBlhVJ13Y82BqU8q16ygbP7TjK3ehVn9hwF0Wy9fRdZKyG5ZhvzDz7BkneM7zvNI8dO4p3DWsuWbVtZPHqSbMcG1P5jNK+YZHq5xb5jiyz3F+vjruvxABinCB50koM4lGg0CrTGNDWVL2lMtOgs9tBJwoZ169Fac+iLezBtTSg8YkAHTQCMVXhXyy0hSJ2EIxcTX0xia9FCKcIo+UVT1x4ppZAQMCNBRuqNCAha6QvCTC2jKIwYxAgq0WhranmmCtjc0N61mTW7tqIWexy5dzeVBOiUWGvJbEafEoXQbuU0t60ju20rdqzFmje/haMf/VO8UaPKpVqoCV7QWqOkTvYRCXWCz6hOqBpWGKs4duwMxhjysYyFfoedb/teppZ6HPyDPycUAS9w/Xe+nmf//IP0z5yhMd6iWhrU0pD3aGMI3mMwKB+ofAk+4ELAKFPXhImG0nHoib2I0mzaspGj84fQGMR5slaOKyqSJEWaCcP+AJNpXCnIoKA9MYZ3nrI3JE0TvAsop1EaGlNj+Ko+F0W3YPW1W9nz5FPkJkN7zbDTww81adokKYXJTetZPH2Wo1/eT/BCVZakjQxfevrHjyFX3Ub6+IOc2f0006/7ZlqveBW+lZI+ux/ddRSP7aM9Pc3c2jUceuwpVAWSK/rdHslk+4WcViORSCQSiUQiLwL+4NGveRuzZePzMJL/CQ4ffLFH8MJzeO9zW++K7X/3OpFIJBKJRCKRSCQSifwDwfzdq0QuMyJyDPhepdRvAP8VeFgp9f8APz+qXHqzUmo7sHO0yZMicuD5GMuLKr+cR0T+kVKqAH6E+pr8FaXUm4F/ISIPnV9PKfUW4L9dsukfvLAjvUgy10YWBmAtt33zbez+1IOkKkUqTzrZJtuyho1v+3YOfOIjaK9wqpYGGh2o0gqXpayUA8xSl40370StGmfTnRvZ96m/ZGFpge7+ZULhAUVnoUvWSDFiOPToUyQ6pfTlhSoVEYGR3KC1xnmPbVqsNXgnDPsFVo1khpFLZRJL6SsaExlSBRoTLaphQTY2wbDqMtaa4NRvvpelhVPc9pbvYO+Xn2Vu6Fnec5Kw4lAehuWQSiqs0hc0LRcCZiCgDYfu2U0+nXM0KGxZsPWOm5k/fJyJbetIJ9qc/tJj9PeeozkzyZZXXsvCF7/M2cMnaW+cI3T6uO6AZKzJ1T/0ZlzRZbDSZzpY9nzqs2SDhMxmDGVAYpps2rKJM0dPMN1ss3x2Ea1TwqAAGKWYaFwVMEZhczsShAJZM6MYlHUqB4JBUw4rtFU8+RcPk4ph5ewKSC1ZHHt0DypL8A89xboN66iWFlmcapM0M4qVAmUUZ58+gLKWE5/+EnbjNHKux4F9R1Gqnm59FQh4NKauKgoBfAADaZ5SDUpaE00GnSHBBZJGQjbVxABJkjK/9xjT128lyw0zW9bSyHOO7N6HNxeFmjqJpb4mjDG12GI0WiuccyCCDwF1PgUGQZ2vjpKLgpR4f2EdrRVaG0QrktSwZud6Tuw7jnb1yddBmN66jmG3R18c3Wf2U4hhcWWZtJkxt2k94itOHDgKywM27tzK6u2bKccs6ar1HPzgx/DuPrZ8zxtZOHqSRHuUB2XA+9HQLrnOoa5d8t5jlUWCIkgtFgXv6XcHhAT2/s77SHWT1kyTzpkO1gvP3v15Ouf6aBfoqUAYvT9BEZyvhaiRPKRHSTrKGkQLUgl5O6Vc7jO+ZgJrU04tnANgbKxBc8sauidOUQ0Lyl6JUXUikxKNuJJGuwUotIAvPP2hq1N7RNCZwYnDjyqeJppj7H/kSdrjdR2RKFDW4pcHLMkQgJXlLjY1KBUQEWwzr3/PByVHHniS6ZOnOLfvNM459v7Jn9Fa3WC4ULD29TdTbZhhfGKK+U/cy9H5ZSamxlk6vYi1Gb5XMDh57n96roxEIpFIJBKJRCKRSCQSiUQikUgkcnmQ04f/7pU6y8//QL4C4auMa/UVL/g4/r7wDyB85BsW9Q8h+uUbFBH5rFLqeuA9wM9TCzH/UkR+V0T2As/xX/J8/ejnewfPFRH5MeBXOX/HHl4DPKiUOqyUul8pdYI6/maMes64R0TueVEGC6ydnULnCZv+6ffy5N1fJO0l9Q1ybUgTxfCZYxz6td+k8/QxSIWsnTO+ZoIrfvYfccVPfR83/e9vY2xiiiTJOP3EQXqP7IPv+H6ufO3NXP/bv8K6a9eQtjJsbsibGa3VY/TpM2lzeuLQuq42UVojYVRZI3XCR9rKaU62qXyJuPoGfllWdWqGgiSxBAXpWI7TllWtMUQrXvK219Jd6qCSBmtesoHJV17Lutt28cD7Pko+M0Z/20ZEauGmdKGuFBqJL4zGcL4mR8QjKNyKI+9V3Pjz/5TD9z9NpxyydOwMrrvC9NQsTCrmbt1JdvMdNLdvYNuPvJ3QUKiiFgKuf/t3Uey8BnvdHTRe8ybOlsL0ujmS2QbaQJo0cYOCY3sPQ1AsnlpE+XoMNk3QxmCTpE4I0QJaLtQBKWtwzmFsnWLSaOUEI2SNFGUVE1tmGNs4g+QBQ/2eXgwpmizLOLL3MOHsMhNeKFeGaK/IEovPNdVwiFjo7z3FiTNn0FpjrCV4UEGgqpeh8vjS4QGUwg0rTMNwrrPCoNPFO8fY9rV4J5Suwo1nlMMCay07v/nl0MqY2bIRk6UoDCEEmq0Wm2+6krmdG8lbjToFaCS+QC2O6MTWFUmjeiOoJRmoxShtTb2drqUfazQkCp0ZbKJBKfKJCfINk0xvmEFrzeSmVWir6J1ZRs4MKHuKk3sOsWbzRnorfY586Wm6+0/SHhtj1w+/lZVWwtOfu58v/8ndnLn7r+gnMPOGO6hOnYZzfQYLFRIUvrzkF2+U9OJcbdwYYxCBsqwurCJSVwwZY1h9w062/+jbmLplJ67nCCK4RLF8ZglKRwgO8Vx4ABcqn3xZ1deyhaSZYozBVQGdatACVuEGFbbZgEHJ+MY5Jl62g7MHjzLslZBaqGpxxoujGlYkSUIxGNBd6jJY7iFOkCoQvCdrpBTVEKUMzWaToihYXl6h6hf0FzsMVnpUvQG+X6GCQkaP+jMrCIokSaiGQ0LhEBHSPOHM44ewITDbbBFaCjE5A1ew+MQ+zj5zlH0fu5dSBC+B7koPm1qq7pAgQpbnl3nmjEQikUgkEolEIpFIJBKJRCKRSCQSiUSeH9SL9IjUiIgXkV+hTnn5FPDeketx4wux/7838guAiPwk8A6gy0UJZiPwMmDNJavup65JetEIVlGVgb3/+feg0lQM63oZ5+md6zDs9RnO95mZmSZttZlaNc3yqQXSNWtoLp5Ftt2K9HporUmMcMXb38ieH/4ROi/9Nqxq0vxff5GNr9qFzi1lNWT51CKTk9OMrZpgdscceiIhn2xR+QpR9c16bWr5wQ8risUhlLqWQJQmTROCErQ20NTMbFuFtZaJRkZ15Rxb77yelZPzrH7TzYSB48t/dDcLz+6ld/wMkzNTTI9N0XxiH2klCGDMKGHFdvsNAAAgAElEQVQECN7XYgm1eCAhQBCUgmBhx9tfhz+0j16o2HzdVQx7fdbccC3muutZe8UWWjfdDsOCide8FTscsu2d/4yNP/Futr7jDTjraJDWUpEXxjeuYnJ6ltAZErSh6pf1PqvAYL6PLwPeB4ILBOcvSQoBRnU9zrn6XFUOKUdpGXlCPp6SWEvRHVIUFcNTyyyfWiLVOYUqQQUgMBwOGRsbwxqFHWviA1A6tAn0hwPSQtFaNY2IIp8eY2pinJ3fegdhWF4YT5LYWqbxdVWStYaslaC8QolmpjnGhmu20Zht45OEhlLM3nkDydZVXPODb2bp9Glkxw6GrqLTENqTLWzD0JhoMbVrHfncOOvvvAVfFWirMSNppJZFpK4nUqqWp0ZjOl97FEKoRSlTP0xioWFZ/bLt5Ova6NzSnM7oqJKtr7qNdPMca+66BZUZ/Ewb307QKeRKMffyq5nfd4zxjasRHFOr5+ivLNM5eJDlh5/Gdx1ps8HJvUd5ybvfgxw6yjMf+ktCzyFBfVU7M4SAtXYk81ysc/KjeBitNUEFnHOUpxfY8x//kJP3PExRVvhhwJcCTggefNAXUl+0gDh/4QvKpAlWaZLU1Nc5wvTaSfKZWkwZn5tiYuMavK7Y9MaXs/7Nr+H0U/sIlcdYTas5TlABdC1OVZQUgxJXCKEQXCGI58L+XQi02220wLAssIlh9Q1X4pWmKhy+CnhRFL0hfuhwVVX/7gWFiEdbRVVVaEbn1GgWFxexaYKUgcX5JVbt3Mrg3BI2QD4+TlH2cLnFVAHlXT2XNO1fuyYikUgkEolEIpFIJBKJRCKRSCQSiUQikW8Eovzy4qGUskqpWQAROSUi7wDuABrAF5VSv66Umno+x/D3ovboUkTkD5RS9wL/GngrkFzysgPeD/xvInL2xRjfeTbuvJKFPacYDAKlrqMpxAdMZdlz+BSbV49hpnMWnz2DN0Nmb93AmjzlyV/8Na585TYOPfAfkB54BKUVX/73H2DXHddz5Ff/NRu//40shGk2/+D/gjn2b1jsL3P6hIGzHbpnVpheN8OwFIp+Sdpo4PpDTKLQylJJLaaIBEwVSNo5LlQoD83MUKSBrFR0zs3TnJviilffiCSGp3/jQ0zsuAJRJcoHClcxt20LxfrVHPjoAxzb8xRruwlF6Qne1wkwShH8xcSQSxERKg/TEw2O/NVDlHMTtJRm4fBhVOV54rP3MbV2HXO33sQwaWLyNokE7K6Xo5ZPIw98lmc/+QXa1iDmI6z/4R9kbPUapq66kWHQ5CfO0j10Bq1BFaCsJuBRBHwlo5v3GpPUU07lBRMUogSMxaiSMJEiw4CyCkIgsw2mtk5z6NAx8iShOdNEVxXDpR7pzDhJv0K0sPH6qzj8xScpnKHqLzE8N8D7QJoZVm3bwOqJaY4NlsjLEuMVC0vLrHzqATSKsVVtuuc6BFGkjZyiP0DZ2kEzNsU0HE4cy+dWCFJhh4q0XzDzg2/FnDuGNCZQ06sZP7AHdWQ/rXWrWdp7iHy2QXfQpxgOObv3BOm1Wzj4/k8S0CgltfQjAUIAhEBdlaXURcGkFmMCGE3QYKlTfURD6gR9qk9WarCaxvRqpl/xak498gBjrYx0PKfxqhs5ee+XSOba6JNd0tkGJ+9/gs2bNrP3yX048Rw7epKirGChz7pdW1g+ukCKpjKB4V9+nN6hk0jh8aNKIzk/xiCjRJbzXx+CjKQSYy5x+HwgJIZ09ThqqaScXyFQ1w5R1Fv7YQCvUKquifIIWiDo+loRBBUE5xxpmuAC6LIkAKHnGJqSVpaTz03huwWtK9cRdmzhzEc/y3jepDMZ2PS621g8eAQ7ndE7Oo9IiqoUQYcLaS0AqIDSnuAN2gmD3hBRgcnJCaqi5MTje0iaGb5fgQcVNEHJ+aCl+piklszUaUZ1IlTAjDdJyoBRmrJXYDw4FVg6cAw3KAkhcPb4cXZ96xs49ZF7OeF7tPMUKTwu1MlSzjmSRuOyzZmR54Yan36xhxCJRCKRSCQSiUQikUgkEolEIpFIJPINSaw9euFRSn0P8H8AVwFaKTUAPgb8jIjcp5S6Gfgx4JeA71FK/YyI/PbzMZYXSn75V6Pl/c9lZRE5DLxDKfVu4DZgBlgAHhKRpedniF8bD/7xZ1HGgLbgA04cBsNgMCCVNlNrV9EZLFEOBnWFzOKQ8btup712K62Tpyg+8z6cBpGAshqD4en7n8SL59B/eD/StDy1sc30m+5i7VXbKX7jT+k/9jTKOeaPz5O2LdtveAn773+GZrNB2VJkJsEv9DAmxTmPaaZUVcXaretJb7uSyQ1rOPTpe7HNFuWhUywdPs7g48tseNdPU/AXbH3Fzfg7XssjP/yT/P/s3XmcXOdd5/vPs5yltq7eW91qSa1dsmxL3hNnc5w4C8FkEnAIZIYlJIQwAV5hyQx3GC4DYbsXAjPDEpYQIAQCcRII2VfHS7xbsiVr31vqvbq69jrL8zz3j2rJhusEcGQLhvN+vepV1qk+p5+uqnPqj/r695UxHPjQFyHpBV06p+Y5R9Cb6CIlnqfoduJ/EHxxTwtTJLFBS0P9bJOJF2xkbt80RWuJ55rsvv3lyJtfAbUl7OgUqdII47DOZ+G+O1HaMbplK8XH9rPuLW/GzSwQTm1F2hSbGPT8aZKVJlM7p6gXUvpSTXuhzcLJWaA3oUOqXi1UWOgj6UagHA6H1Jriuj7iSpttt9/I6c89SqcVEyeW6lKVertOYbSE7SZYaykMlrGBpr+/j+bxOexAnnNPHsP6go3XbObkA4fwfUHfUD8miYijDtWlCu2FBfp2rKM5vYgXg5ERA9vXUl9eRhiJClwvrKP1xZqdbr2NMYY4SlGeJDfcz8LsEhNrxvDTiBQPOTyGXphnYHyUxUqDoe07sDt2I9auJfnEnSRHptnyqhdjNq5j7tRZaBoim+KsQ1pWwyK9qiCLXR2c0tvm5XprUYEGa4m6BmV7jVZGQq1ZY/TGHQz3l6hojRd36D52nJYxqKE+dr7pdrypdZyeniXtrtDo1HDOcerwGWxk0J5H3IhxxnL83idIhEOi6PqgAp/jn7qHSEHgJM46nOCpCT3uqXNPSoGTvUDMhY8vYwzK7+XkgkLA2MZ1zD9+nKiZkMYG51nSpDfthtVpJk//8HPOISykq49dmH5jjEEZDyckKEez00blJSM7NzB/+hxxJyFXrSIfO0hYLKG8AKkU5776MOX+fnQQYMoFqjMVtNK9wJiw4OTF111I3ft7Y4sIBUEQ0Gl1IBEMbl1DMtck0o7EJQgFWnqY2OAsCCkxOXDWPTUrS4KLYmQY0o46SNubVJUvllBGEEcRSinEbIO5+XnkleNscVM0u22ajxwm8DyM601I+lc1GiyTyWQymUwmk8lkMplMJpPJZDKZTCaT+SZkln15Xgkh3gn8DrAIfACoAtuBNwCvEELsds6dB35XCPER4NeB9wsh3g68yzn30KVcz/MSfnHO/eKz3K8BfOkSL+eSkAg6aYxKFZVzFWIDazcMo3xFErV58N6jdGzE9dduJAkD5veeYOxdP4v8yuc49fWvM7BllJlDM7jY9UIIVpJbW6Q73aBjDEknZU04xtwff4RZY/H8HOCQXi+YkCaWcwdOUxoMmXzNTRz+27tpJjG5IKCbdhmbWkNXJjQWm3QKlnJ/kQN/9HGIJHE6TxgIhkZHCQKfk//9FyAn2Pu/7iT9k09jrQPrMG2LcKBCD5EoRkZHqZyqUCwWaVVbSCWRUvYqV2Tva3Id+Jg4IcwHmASK6wrkUoGXxoi+IpvueBXda2/B0yEq6MPg8JIOqdRgO6xZv55kYB3RicfZ9I634Wo1cje8GCMdVoTItEXuyuvxHj7G8vllEhNTayRgE5RSGGPwfa8XZvAF3bgDCErDBch7dG1KPvDxpxTxwACtAnjWw9Vj0iRBxAI/NnSrLZxz+F2D7svRqtQxZY9ovo5xFmvh7CPHCLXCCz2sNEQmJRSaYCjPQN96aqfnaFeaYCT5LWWWj8/g5X1UWRHXEnJ5D2NT8n15kjQliVJc2ptCIoWgs1BjNCjiJtfQjmKU51Hb9yB9azdgrngha4sBRhZwAoTTDN/yGvzbffDyNA89ybrdOzldfwJZT7BwMZj0VBVUbyKKFQ7h9aa8CClBw+YbrubofXtxca8bLT9SYmTTBMUrdhBVq6zsPcTw6zYhcnmiuQWGJ8fY+9t/ilYhQlmsVKtBiwTjpwiv93tNnGAFWCkRFqRzmFgAMVprhkaHWDw9h3SQWgfGYIxFrsZchJII3av3ujgDxjm8MOiFSYQliWKEc5hOhLVcrHLqBVyeStFcDJ8Axth/sN3zPC6kSWxiAIFEIj2Hh2L+8VOYvEDiSIcKuOoK3ZkqvqcQgWZkyzpqswu9900nJciFRI3OxfPEuhSQOCsuhsZSHDK2GCeJTC9YZpspSTdCeZK017rVew1lL5GUeCkTE+tYObOEMJC4Xo2WCzSRTZHdXvXX1IuvI5cLOPSF+3uvMbDl9S/lwN9+hUD7rLlpJ/bsIhNXbWNuZpak28APA4p9pUt74cxkMplMJpPJZDKZTCaTyWQymUwmk8lkniMiS788334amAaucc5VL2wUQrwe+ATwVnqNPzjnKsDbhBB/QC8w83UucV4l+x/7n6WpV1yF72v6NxX59r/7Za5810upzy9TXagxPKLYtG0Nbe2x9+ACutYiSuHQD/8ID3/wo0y8/YeZfeIMcbdXP0LS+5Lfc5IkirHW4SWCyiNncB0JSjH6XS/DKEn/yAA2cJAaolabVifh+J334OuAK166G/IxeJbSTddQ/h9/xK6ffBujb/ohTnzwU2y44zZG1w0xOlLCpZJmrcni8QWMg3JeEmufOO5N5nDOoYREKoFIHWkzYnbuPH5/gNMCB9jEkh/MIUcDgjDEIQkKGmcFqbAUxgq0l1ucP3WevslBNt1yHdWv78MXGtlp4OIWSEPslXAC7NJZ4lwRFfjo61+JHNuM3HId1jM4NFYJOgvTLDx2D+tvvprxW6/E1roUt4+Qav3U9A8lQUl8z8PzPIQFl/eY3DRFLhfQt2WC8p6tKBEysWWc/okhTGAY27EeExvay01KQ2Umt22mkcYkKy3GJsbpLDYYmhikOFDERyJSS7cTkyQJ63ZsQUuP2vkK5w6fJWm2iSodtNAoX6AjQeIsxhhsx6KEwViLLGoGN41BnJLLB+i8JOwLyJVzpF3HSreJzikC7SH8PMGGjaihUQpLsxhvAGcMToB0XcLRMWR+FLSPDgPai3WMibEYpKJXEyQFKInQEi/0Eb5AB4LCYIGgz8fzBTY1nN5/iOJgiYk9G+mbGoSCpp2mHP/DOzn4V5+lb6DE4+//M5QnkWHI8v5zmK7FmYQkjglyGj/nE5YCTJpeDHmoQCEVeFoiBBjRC69YAAWV2Xmc69VWudSA7QXNnHNILZFSXJzKcoGX80A6lCdRnqRvpJ/z9+/HGNOrdpIOa3phHyfFxcqgiyES1XsuZKCRniIIfAglwhMQKlSokL4EYTHOEccpLS0wacLUS3aR76ak1Yh8MWRy50ZikbJ8fgGANEpwVtCuN0CI3pqg1yUFuNQgrMMYg1iteUqSBF/5SCBNInQ+wDiDRCHUhQlLDqctofJZODaDSRLMagBM5BUDk6N0onbv7wdkKeD0E0cQ1uEjKY0Ns2C6eH5AbA0zB09S67Q4s/cI0XydnB/ilQKCdc9p7V4mk8lkMplMJpPJZDKZTCaTyWQymUwmc8kIcXlul2bt4hYhhPtn3H7+Gfb9PiHEQ0KIphBiWQjxGSHEzZdmZd/UWuDRpwdfVn1l9X7iH+/gnHvYOXcT8I5LvZjnq/bo/zjVE9Ps+tHbePy3vsKTv/AHiIGAG77zZo7df5LIpoR5n1t2j2OlIhUGr2tJkgilAg7/X78MHYOUIJTCJL3pDMsnFrHGIAxY6RicGmLlXJVcS3Dyjz6FLwWl0T7anRqDV0xx/qFjWOVQxuIwHD9wmLBcRISOkdfeztyRr1JttJj/kw+SKMXC33yJroXUJvSVB4iiDrHrMLJhFLd+LawcQEQG7WuklOicR+osaTciTgSNuRq+CjBxi/JwH61OizSwjEys4/zBE/jaI2mnCA9MYmjPVSmODbCyUmfEK3Hm8/ez9Zfeg+rWSaVGRm3M0gx+fx+EJaJUoMuDoAMcAmENqjpLeupJuucXKO++HrN+A8WBAU7+z99lzfZN7LnjVqywPH5mhbib9CZ7KEFpKE+3ERF1E4SGkYk1LJ08h79rEm/jRtoPPc7gLZvpbrwCXTzPFdfu4PTdj5A60EJjEsvMoZN4xQAGAipnZ/FLeSpnK5A4jACFxAsDcJJD9+4jN5Anl8vhhT7xch2swFgLyhAvNAiCgFSD8yEnCkRK4eaaNKt1It8RdzoIrUjaKblynkbcpi9XxFtp4vrGyRWK+NpD+UU67Sa5qIXzA9I0RQBOeUgTYxdOsPjZz7A0N4+KFEKHSGcBg1QKnCNNLYVijnbaplgsEScRRAbTFyIbMRJF5ByNg6cIgwBvoMji/lPIyCJ9ycz9h/CR1KoVbGKRxuKQxN0EL9C0Flu9YMlqxQ+AVL16ImstSuuLE2hcarBS4vcFtFsxKqU3fYinKqxw9mJYRSN6NUH0giDGGDzfx8YJspxj88aNPHRuCe2eCosUyzm6nRiExaYSa0Ao8HTv00iHmjRNGRoaoTK3hEkScBIpHMaleFJhPUku52OTlD0vvYnalgEWDxwnXWoQ5AK6GI7vPQRAJA3dpIv2PKx0oAXCCYTQWNub+sLqtBnnXC+FaGwvmGShm0Tk8gGiY+maGIEgtRYlBFL16pg86ZG0E7Qne+9HB9qTFAf6KG3ZRNEFnN1/FJ3TnP3qo8TdCFSv9mndnq2c+tJDpGnS+/uVon/jOMsnZwgMNOpN+vr7qB+dZfR5uqZmMplMJpPJZDKZTCaTyWQymUwmk8lkMt+KSxVEuUzmgD/7Bo8p4D+u/vc9T39ACPE+4N1AB/gCEAK3Aa8SQtzhnPvEc7NcAJ6kV290g3Pu4dX1COCn6NVsHPxGOzrnPnCpF5OFX56l6ukqlf/9edQgLFm48UfeQWHxHOw7iJ+AsxYjAefAQCosSWoRogNtt1oX5HpVO6tnobMCkFhnEU5QObWEtRClBt9pYgn180uYruPE1w/T31dkYs9GWo0OSzOzDK5dy7nFaXb95sfY+5/eRG40ID9WQtZStHK0cobSQJl2u0G7WsPzFLKUY2V6GXuuik1ThoaHMZ6l2+3S7XZJ2jFhfwGv60BopBI4oalW6hRGAmTqWD5ylsH+Mu3lLkkSE2MpDpXoVNokicEXimatzcj6ccxjDyE2byXJB+QtpOV+pMyR7r2X9tAYwZqXkcaLFCKDnXmS+tfuJXfdDZx55C42XbMb74l9BLuuY8ePv4tms0375FEaZ87gmt1e5ZIxCAztVhcpIcwHeMM55k+cZ3D9MGI5IbfTR4+P0Dg/QzFU+Ne/hOjUAcxCDW3AyyuEEKhigDGGuLKC1pp8IU+l00ApRXlskFa7DUA+F1JfWUEYQWJi6is1hreuR4glmt0EU42IAsfVP/CdPPkHn2LydTdiz89x9tHjSE+xMrNMmPPppjG5Yojf1zstS0qTCksUJeTSFnhrMaGH1QpFAbvvUeTOnXgrc5jJLbT330Pf0CgMjDKwcYrRl91E5cAx5h8+RpoasAJnbS98ojSdqI0UgkRaimMDLDeabN9zFfsee4RN5TKNWo31t1zH2f1HUc0I5UAUNDY2iNjSTtJegCW1pNaiAZs6ulFvopHWvRCVFay+x3uBFiU9kihFWNd7TCtsaok6MdIIrDVY25v+olan+EihUJ7snU9p73jGGFCSsD+HTQ3GSqxL2Lt3H4VcgEldLxgkBN1OjPQkaTchFD5pCdJ2jAs9CjqPKHm0qlUWzs+jTC9woxHk15RJTIr0NQGWHT/wFrorKxz98hfJH4K02aaTJBAJvARIJThDIhPywwM4k+J5Hq2lBsIKjEvByotBl4su1C4Ze7GiKk0staU6Xl4ThiGxjUEIUmNwQJomeFqTipTy+DDN8yvEUcrKTJXugScxxxdRFlJP4hptLJIgr1B9BZRYDRa53u+a+J7bqH3lEUwaE+fzmEjSaLdYs3ndc38xzWQymcvAdZuXewn/aomweLmXkMlkMplMJpPJZDKZTCaTyWQyz4r4N5x+cc4dBn7gmR4TQryWXvhlGvja07bfSi/4UgFe6Jw7trr9hcBdwAeFEHc9w2SWS+Wngc8ADwghjgBVYBMwBjwBXPKAyzdz2WuPhBChEGKPEOLVQojvFEL8x9X7Vwshdgshwsu9xmdimimNapWd3/dGVh6rE6ycw3gxXqoQUvYmcUiw0iKkQzhHGjuc6YVcTNqrYhFWgAET9+pQhOhVvNjVkIJEoFenZEgpmV9YQmlLcaBA0JfnzJNnWJk5x66feTvp2hyb1o6w/Ks/jFOW1kqbmf0zjL90E1YJbNOghGT9zq2oQpGdv/5fyHkSsW0Aaw3K19RqdZozdUwrRRmBn8uRNro4H7xCDp3TeHkfbEqnFhFXLKSgPI1Vaa/GKXKk1TbFcoGo1cTvDxnbtJaBTePs++RdfP0Xf5+9P/NbPPDffpOlz3wcc/YAndk5hsbXkFs5Q77ZQTfPo0+cpjm3hFpcZOo1L0F5ORY/fzcn//f7MHsfptheprD7ekYnxrG6N+XDy2tK/SWklMhQYURCvNQkbrfoFgLqOubsfQ/Sitvk103gb7oKt2aKuNvGFQPUSAERKOI4xhiD1JqgmENPlDFaIqXCWkdjuU7faJnJDZMkScLI1DjGGJJ2ytpdW+gXPqZtCbXHxpfdQCDz6C27uPpl17Byfp6ZR04hUsBT9A30oVCMTI4gpaMTt7DWYPIeub48YX+ZzonT2L13o1p1RL2CbSwQewZmTxIJSXTiMO3pM9jDh4mXF6idOsPs33yRygNHeyEUIdC+QjpQCBwG7fsY50hbEWtedwtbb3sRcwcP8aI3fRcudQxevRW5dpSC0oy/8homXnMdSCj2l0nSFITtBVhsL7iRpOZildeFsMuFxy5OebG90MqF97mwDoxFOohq0Wqlj0BrhdYKoXtBJKl6gTIA4QkMDqEVOqcgBdO1eDlFUMihnEP6CqctylekLkX4kiSNGL9uO2LbEIV8HpBIp0i7HbrLDfx67/gq9PEEyMGAtXt2Eo73MzQ5Qf/2DTzxpx9i+fP3EM3UqFZqdFpdhJMIK0g6cS+wE2r8Yki+mGdlvsL44CjSSWQgyBdzIHtrh97Umwvn9gUXwkIXn8dEUFuqo0WvUgwn0Sh0XlNYP8jAmmHqM8s4DblCCFh8AykCPMGW225Godl49Q6YGCCtNJg7dgbnHKPbp1j7ij3UvvAg3WqdWDqkNci+EOlA+sFzfi3NZDKZzL8yaXy5V5DJZDKZTCaTyWQymUwmk/lWlMqXewUZgCB/uVfw79K/5dqjf8KFqS8fds7Zp23/qdX7914IvgA45+4H3g+Ugbc+V4tyzn0V2An8PrAM9AP7gJ8AbnTOtZ+r3/1MLsvkFyHE1cBbgNuBbXzzEI5dTQn9Pb0Xc//zsMR/klGCgjfAgd/4OMPjghMfuYvmQoXSRJnmUoeEhFIphJbBFTxay0008mLaLE1TPKVIYoNSCmsAZ0FYQi2RuZBrf+xNfP19f4mJQcgELQXDOyYw7YShyRHmHj7Ohpfu5OQXn+Ts73wY0zVML9R44R/+Pzz0U7/E1Ef+ltz7/ysnH3ocD0mMQYWaLgprupz4/T9BlkLWXHUlteoTmGaLvi0TzB8+i8bDKUv/UInauRXCcp7aqQrSV1htkVojjAAZEeQGqUwvksvlYCBPn+yd5VEUMbptnL5tk1QfOU7ajZBzCUI6rHQ4qSnm8hz6s49TvGITpScex+24Ep0rcP7P/pT6fBWzGJGG+9jw1nciBYy860fpHL6fuNlm7nNfxI6Nsvm2VxJ+4kukUoGCZrtF3g+QeR9ML3RhuhHpkRn6X/UCBl7wMqTqZaqsUCTKokY2sOdd13Dszo8SWwHzDeK2wVqB1AIzWyfpWrRWOOUgr0hdl/ljNVIvwYg+Os0OSmjmD58i1JqBwTK1boLas5O1ssvB9/w6oy/cTq7eYUX0JsxsfM11nPvyozihqM1VGFwzzPLcEh0XUxwMqa9UWYo7eGNrCLZdjWpHzN77Sfo2bcVVlkj7txP0ryWI6nTm6oj/8CKaex+hNr8CnsYiIY0pDOaJWzFeKYfTkjCfo1tvICKHdYb60ZME23cgJoY58/gTDLziekKjiNIG3lVbaY+tJ937MOtuuJpz9z4Oqhfcss4CDmccQkmUp5H0Xv8LQZYLE16sEQjRqz8idVgNLnZIufqJoASrM5B6YRklkYpeCMxJnFyd9gI4acmV8xTGhqjNV7DCEqgQ2+4gQ584SVFKIYXAhhpvMI9tO3wjUCsdlleWkU4hLXSkJT8ySNRcxFOKro3Z9LKrWdh3jMN3PUBQzFNtz0Caoq3PjDuHSwVK9SbpCKWwxmBXpwbpGFppl9b8PCMbJpg+dRqhBc4a4tDSN1SiXmn0TvfVEIyFi5NgJL3nyDnXqzuKDb5UJHGM8DTS9eqjSATtxRWSRozWkhSHSVMKI300uxFCgVWOE5+8GxVIGqoLx1cojA5QW1omLIQMhDlmHzlGbB0miskFivyaUTZdfwVPfuIL2C0jz8PVNJPJZDKZTCaTyWQymUwmk8lkMpnLQxT6LvcS/mXGNvyTP+LmzzzvARjxDOv6N/fcXkpZ8OWy+bc8+eUbEUIUgNev/vMvnrY9BF6x+s87n2HXO4Efp5fJ+M3nan3OudPAu56r4/9LPK+TX4QQa4QQfw3sBX4G2PG0NbhnuF1Y407gPcA+IcRHhBCjz+e6v00q1h0AACAASURBVBGLIXEWMVRgpbKC7RiS+RZN2eDq73oRo3u20llpEtU6eJ6HBNIoxQs0SgsuRLKempTR+8K7YwSJTXnkd/8KAoXzEjypERvLDE5toKVh4eETFPpzzB08SyI6VKaXiCttRMHj/p98D9f+8s9y9gdfSyXqEhbyCKBvXT8bX/9a+jcO0HfFFOiEwmCBfKhp7lxHFMRUa1WufckNRGlM0kpoLbYQUtI4X0f4gjRJkM20N0XEl2jpk6Rdbnr3G/AKkr6cpr7coFtvQ5pQObLI0c8/Qqccop0iwSJSie9p1t+0mVOfe5T8QB/+QoO9f/8FdK1G9+v3kUaOeKnL9p94E5tvvR3hFxA6RxBXEYnP9FcfZnTXNryCz0P/4zcIBgbASZwBgcWVPCQC6xxxkiBSycjLdjF2zR585yEcq9M2JNp5FLddQ2XvoxRHx9CJJTcxjPA0CEGSGGzkcPTCBCrnkYgEN9jHhldcy8Tu7SzVqqiLVVYwecct9L14N1t/7LspG4PNeXSjlLN3PcnyyTkCJXAKFu4/yNDGtcRJl+LEICsrVVIMpVKB4a3rGJ5cS2lkjKJWNJfmEcWQidu+h+LUDpb2T1NcfxW6lIdCAf87Xse+P/ogJ7/yMDYx6DBAexCUQkzsCEo5hiZGSboRzeUqSin61w6jPY/0/CKNr93NxNQka/dcSfvICfyrbqR43UsYf923E52fYWVpkcXHj5I4i7SiN4VESbTWCNULdiml0L6H9BTS071Ah5J4vkIqENLhrMBpkChQvfe9l/Owq5NihFa9yT0KhCcJizl00bsYpNGeR1jM4ZfzpO2oN5kodXRabYgcppriupY0NqTW4oU+OjVMbdzM2eMncAL8IEBKSdTq4hqW1okllJQYYdm2YztLJ6fxtM8Vb3olrhOjE5BOg4JCKU9Y8PFzfu/8Xa0hwutdsmwoCKVkeGIN7XabTpRQGi6SKxdJml26zQ5SCIR0SMVTNylxoheAU0pdnAYjteiFXnyFUgIrbG+6lBWk3ZTJq6fYcuu1BFqhlMR4kombrkMAV377rRBorBQ09k2z/jXX02g0WfuiazApHD5xDGvBDBbwtI9wkoVjpzn/+QfYdM2VzN732PNzMc1kMplMJpPJZDKZTCaTyWQymUwmk8lkvkVKistye469ESgAe51zTz5t+w4gABadc+eeYb8LX/Rd/Ryv71+N523yixBiK/BFYP3qJve0h5eBGaAFxIBP7wWcAAaffhjgTcBNQohXPX10z/NN+wojLf2FHFf/xB3s+8yXCY7PkkoIdcDjH7kb3bbYQoGwFNCt1PD685ilNkknRvuaNLEIJ7HG9qqNVuMw0gg2XruV+f/+xwy857sZuuWF2CKYI/Ocv+9xip7ADBeYT+oMRAFEEuU7qiJCL0NeOfb/8C9hxzXtZp2hzeNUFw5xzfe9hSd/729wkWD9u38Q/4otVL/wBcq3v4Ubux0e/bF3YGfqPHzkQVLfkA9COs02ziqQBj/wKI6VqJ9eJiVmeHyUeKFFpxXz4G99EoqGze98I8u//dckjQSlJINrS0SzLVr75zkjLUiHC2HgurXMHzpDMfSwZQ+vOMj2F+1g/5//FZ4QNE7XGdkxhh+UiScnUE4CFnIbkPYoQ3t2cfTT9+F8RVH6NJttVCAYGBpiubZCt9UksYrSQJmk2yU/WaKwaQeoEm3tCK3BGYvTEmksKJ/+bVuo7D/M9jffTkenuD/9HI3lGqW+IivzNQQWP/CIOwnlkuaK217FzN33IuoR+a4k0QIpJWneki6vEM01yW3YwNL+gyw8cgijJZ51ON+HbgLCkivkmZk5x8DQACa1iMRSzpWIVIoMc8zPn8QdPMhABxKOUN88SWnXjaTWY+0NUxz/7V+ms9QgKPQxfOtVbH3nj1OsnOHx37sTFpqUp8ZwUcr8iXmU76gvNhHCodYEGKHAWFxqqC5VWLtziu6JORpnzrHuDW8j1ZJzTxyB5Rm6j+yns9whTC1hGOJ5Ho2VBi6F2KSI1bNZSoHBIoXE4hD0EpbS9yjkcrSbdQS9uqJOvUuxr0DUaiNDiRQCZxyB72Mw5EoFhLBEUQRWIDyJEj5+IWBg7TBzzWXM6RWcFEjbW0DqUlTeB9mbQKOcpF2U6GbM0tw8E1s3UDs7y7ptmznz+PHVCiGB1I7JKzfR9RNKr3oJ9XvuZWL9OpaPn0FEltQBNsVpQZyCF/gknQQdBqRp2ptYI1IG1vTTbLYxJLTOL9NOI8bWjmC1QNRiPBugQolfzhE3IpAOk/RCb0o48rkSrVYLPIdNHFLq3gQXsxqVk643cQd6r6MWxK0OspTHE4L8mgEGt23AkkLiePTvvoBFsf3Gqzh37xPoToSIUryFOtv/0+vZ/xcfJxKOQteRlnNEcQftBN2FKnOtLsPl0vN7Yc1kMpn/U6QJpNHlXsW/XFi83CvIZDKZTCaTyWQymUwmk8lkMpln5XmsIHrG3/0P0g+X1oXKow/9o+0XchfPFHzBOdcSQqwAA0KIknOu8Vwt8F+L5yX8IoTQwEeBdfRe9jbwV8DHgfudc7Vvsm8ZuBl4A/C9QI7eC/lRIcT1zrn0OV7+M5KBwJchST3iiV/5CF0X00kFsi9Cj/RR3BwQnIpQ6/qpPXme0R0TrFRaFMohxZ1jzO8/TWoVTqT42iMoa5J2QmwVOEXfVVup/ex30pxtUvnAnRT7h2nMVBBFn8V6HU9qgiBHp5BSKOSIkphhGdAuJDgh2XDzdpZEk87xCuwoUR4tc+xzX2XjG25grm6wxQLBkQMMvfoNrHzpE8x87FNsesFulh44zORN6zl933HSOMXzfdqtFkOjo9QWVoim6yTOEHoFKudmKfYP0KfzVGaWMIuCo+/7O4jBCwOSxDB/pkLQF5ImBi01WhmmvuN6Kg8eRjuPbuwwT8wyfNt6OFvHTVcJdk7S0FWSVkzt5GG8oRwiFyLjDp1SSHjji5GHD7N193Us3/8l6ifm8NuOwniZ9nKTNIrpGyiTakF+pEzlbIexb7sVb3gjRmu8KMFJCdpDWIORErSCrXsY2nYDcZLixy3G3vBy4r/5NI1aCx34mCgmTXt1OuG2SR79wIcZfu0NJPccAWsJgzy1Wo1i/wCthRXGp8aQQcjiuTlskGPNVIHKiQWMS0EK1l+5HdmXR969wMa3vppDf/J35PN5qqZD/8R62meWGJgYJz02w/mVFv5EP3NHDrNNh4ipHSTFIUau24Uo96G6FnPqDDMH/gxTa4FLQCoWT59HakWpPyCcHGb59HlKYwPQTunfMs7i+VnCfA6TCmYOnuWKt7yR3OYddKMYL4Egr3ALEa3EQBzTtQ6ihK7rYFIHxiKdQOnelBInBWK18kgrhcPgsGx86ZVUT83iVEpLpWzesZ3Fo2fxBwpUp8F0EnQCBB5JGlEoFAhLIaK/QPfUNBNrxllZWSGKE3wlGbv9xcz+xocRygPncBKUFkjPJ0oihgcGiYQlaXYQKzFqoIxpdKmdWaC9EnG8cgSdCqQnEFqAL7GjedbuvprKY3vp3zDB4swc848dQxmJcBaEQhiBMBLpCXR/yPDYMGePnqaYyyMDTSocyF6Vk0tTQgHVtM3VL7qJ0/fuQyQxsUgIhcTP+0StCLBIHMrze3VoQqKERhclBovt9KrRkA6nBUKDSi0oRVDOMfzG22je9yjDL9lFe6GO2r4VXa0i1pbwF9sUxwZQu6/G7TvC4bseQVrHmX0H2VYq4BoJJrQ0Wgs0nKMvX6LbjRm5eQ9nH3gcCpelGe/ft+yL50wmk8lkMplMJpPJZDKZTCaTyWQymWflMtce+UKIJ5/pAefcrmdzQCHEGnrVRoZevuLpLnyp1P4mh2gB/as/e8nDL0KIZeDDzrkf+xaO8bvAm51zQ9/qep6vbza/H7iK3uSWh4E7nHNn/zk7rgZjPgt8VgjxXnrdVNfRG8/z/cAHnpMV/xNsbIidw1lgyEFV4+Usyg+46R1vZ7p2iv5b38bpH/leNn/bdbQWGvS1E+RQnqXFFQbGB6mdX0EIn03XbKKyUKEjOwRC4Hkak8TEcYrfF9Ccb7HQWEAah2o6vDBApA5nE1INa6++gm6tzsZXvphDf/kpusM54jX9jJcm0JMpSweOMf4r76cuBjhhLFvP3oXYcgWP/9efYGD46xTf9N0UrjiAjgznl5ap3tOkGyVoJRBln9GJNSycnScIAoQQ2JZFpI406tX8tNoNBkcHsKEk7kaEfkB5coh6t0XOKmrTK+hAYlIDUuHm69QWmxQHCiwv1skPh5z47APYJMVosJUqgfQZ2ryGkx+/j77HjrLmjttRYR6qKU4bvMFROpXTpM5nYvcOTnzlMdSsJRgfwmt3aLa69E8O0okiVH8eNm4nDUKUTVHOkTRrqFIZgUYKg3QWK0CmMUY6XNRAt+oYq5BRjBWWfDlHjCEIQuy5KqXxEZqffow4jlFdaLsYT2t0YskXSrh8H3gBKu0yctvVDF/7YhZ++TfwU4GQMQvHz9K/ZYJ8mOPYhz5DcXKMuZNnGF6/ltD3qJyep2+gzNzROcKyR/vMHCoI6Bw7hr99B9omnLl3L+XJIeYOnmHny69HPHaC/Pp+UtckShOsdQTSQwSKhYOnKQwNMLBtA/OPHmVh33FGr5hi7I7vYP97f4cdv/Zz0G5jHvo6rrZCe/1uwmYbPTRCvb4XPVSEagfrLFIIrElBOrCAkgjpwPY+UJQWWGdQWoBWmG5Ke3aJNa97Ee1T07RaLYKNo0QLVQqDRVpRl8FymeZcBakl9cUGLpQoHBvveB3hQJFjf34n5YEcW9/4ag6876+RCVjncAKEAk8HdDtdjEmodFcQ0iECQf/ECB1r6K60kVrgrESaXvWSUBBuGsYfG8C1DdQt9TOzLH7tUXJ+SH5kgPrZCtaA0oAWOGNIfR8/dnS7MYH2cMaSdiLqi1X6+vrokOIUhDaARsqxLz5AGid4BQ9Sge+HJC7Gy3l4niZ2BuEEWivSSGAKPle/5EYqM3MsHJ/GQxLHMUIIwv4CJk7o1Nu42GJm5lg4fpJdb/0+1JP7mPnYZxi95Xpy0qfaqVKbnqP2x3+B5xcQocETiiSnOfLFB3HGELmUHAphI6wnmHrx1VS+doCB8YHLcWn9d09k4ZdMJpPJZDKZTCaTyWQymUwmk8lkMplnRcjLvYJL7nsBBXzOOTf3jx67kPT5ZjNnnus0UD+9Rp9vRX71ON+y5yv88t2r9yvA65xzS8/mIM65s0KI1wLH6D0B383lCr+UPHKR5YYP/iazX/k4x//iflJA5wPYuAW+fISj3/sGfOfw3/Rmln7t15h9/a1cLyI2mxjG1/Hw//0HRMJy8uAJbNx7TwolIWc5+Yn7SCWQGHAGPwWrJTmpCcbyhFYzszKPWSgw3zmB7ZMs/uUnmdq0gdLP/zaFtMXhRz7D1ptfz+RDn2bmD9/L0tvfy7VLe0nzGms1/d9+K/auexhqLuLt2sjRD3+Zm9/9RqY/9wjnj5zHlx7dapfaSko+zOEXAkIZYkZTlo4vExZ8uvU2WnmYYUExH6AjsB3B3LFzeJ4gPzWOCBwFr0Cr3mHXDVdxfN8hrv3+13L0U18jFJoAn27UIbe5THemyVU//nYe/JVf5ejnn2DNrg34gWDpnq/S6HSZfO1LKM61kO0OYaFAcvAMx5tNlPKwviJaWcamFikt3UqDTS+4krozqOVF7OAICokhRiuBdA6TtEF7WKFw1mGlRJJiTh5h4eGjCAfGGHa8/Doil9A/PsrJrz5KY6HKwEAJ259HLMRIrcjnQlorbRKZksxXcVs2kQQB2191C3ZiC+nwGL6UuCjC5RXFvI8u5ekEFq8UItIIOtCaWUQrgesPWDg2h0wscS1B5xStRo2zew+xxUniepWpV99MvtTH9PFpDnz2fgIRsHzwHEE+wMYgkHRNBw+fDVs3Mj19njNfegwrBYOTI5zff4a5w79PeaDMYx/+a/wjJ+nTAaWdk9Qf+UtGXnQt3WPniZ1BNmKQEiTEcQwIcBKlVquNlESK3qwXtEJLcL6gvH6UbncFVQywiys0Dp7G5Xy8wRLDG9dz7u69NLsRthFTLObRGwYZGR9ndn4OUS6y8LmvEUifbSPjnDs1zb7330lsHFKCs+CERXgKay1YgfQVSItyHs4YVk4vYoxBaY1wvUkvaeqQTmFMiqy2aGmBJ3xOfPbzNFZqjKxbw/Lxhd5kltXKLe15OAwWSBpt0oJH5/w8WmuiThedCsau30H1iRNo3yPF4EKJ1Io12zYwe/gUUatDYXgA24mxOAr9BYpT48wcPsHGK7fjjQ6hcdjUcXr2LLLZxjUjEq3opjHlchFdLiAFKCuJ0wQ5sYXxPcvUalVSP2DTa27l3GfvolupI6VEKkViUmyjhTKOho7Y9vIXsXj3EzQ6HXKeR37rJO7kLNH8Cq3cPAmGRrOB53mX4/KayWQymUwmk8lkMplMJpPJZDKZTCaTyfwLics4+UUALn62E16+iW9UeQRPTXL5ZuGT/Op985Kt6P9vjxDi57+V/S/VQp6v8MsV9F7xjz7b4MsFzrmKEOKjwNtWj3tZTP3Fl6n92Hfx4A/8JB2nkTZGKM3Uy6/kkZ97D7n+PHHNIAZ8Kh//DFv/87uZ+4lf5OyuYcJWh+bCvchcHhVHSCFwocMLNDYyxHGMcSl9Y8Msnj6HKfho6RBKY6KEdW9+JY9/7UF2/tBbGbn2dZz781/nzBcPML57PWte83JsXCdJu+yY2oWpnKPRmiPJl9mdS2HjC6i9/+cIdy/T/NDf0xWW0pEHEduvR7o2D7z/46RLltAXrH/jzTz5sbvxtEB4mqgVY7RBJAoVSpTTmDQi1gZmmxTXBbSW2wz299HJKYp9g1QPzGCR1FWdoBxw8sQx+ndM8MRffh6LQXma5cVltPQQR5soDQ/99P8k7M+RuJTqsRnW3rab6qOHKE4Os/DJr7HSTVj7gitpzp8n7Vhkx2HDhHqlg1od6qSGQjwUi0+eYeIVL8IVSgQ6wCZt5NIKIh8QN2fw+oawUiCkBSdwgJA5xLqN1B56FC0FiYFTR49TyhU4etdjKKPRgU97pY4IBQaBjWOsiVAoutWUWqnGWKVBao8Q2wT23c+x//c3yZX62f7z7+TRX/g95FAfc48dJQzzNM9XmLjmSlbELLKUp9NsEZ+pogNNJFNkarCRxJca27GcePgo3TgiPDKNi1O8xOFQxC5BokjaKRjbm8giBCY21Go1wkCTOIFA02q3KZZCWi5l6B13UJpdZGV6nsLaNZicYst/+W+c/tj7SbttwrVl1u7Yxqm7HsM5UCjyxRy1pTpaKaSSqFAStbpIrdFaojyJDDSdVovJH/xh0j/5ECsnz+KvG2H0NS+j8sCjzBw/wcSVm5g5PI1xKZXpZYLlJsEVk2y4aiPnTk3TqjSpxwZ7HsoTwyzPzqOcxDmJtQY/9HDG0W61EFqhhET6CicFccsgHaAkzlosCmsNnlQY58gXC3QWWzDfZkFZtFOk0rJ8agFhLDbthaSEdZg0RSiwqYNYMLhmgHpcpTA+yPbdO6mem2X24UMQejgJuWKJ8nA/7VqLuQMn8LSmsGGCqNGguGGUtBuRz+fJjQxRmFtE4Zj+/P2MX7cZPTnJ1BUvp/HQfprnVkALJsYnSZa7iOF+8krSqrVJam1QCYVyP0H/GgyWlQcfolJdRieglMI6B6lBWo3FoqzkzJceIRwq0udg+MVXUFI+h6fnkUZQazWxQzn8Wkyp+K0GNTOZTCaTyWQymUwmk8lkMplMJpPJZDKZ58flbT26tIQQO4Fr6AVX/vYZfuRC087kN9i/QG+gyIpz7pJXHj3NHr71AMs3m17zz/Z8hV8u9DP9s6qO/hnOrN4PX6Lj/Yutuet9TP7s27jvR38VuhFGWLS2HPnIvQRasObNu9n5ba/h7t//MIP7D3BmaQaRi1l6fI7+TWWu/F/v5tB7f5vu2QbKFMmN5omX6gituOGOF6Bu/1GiT/0pfCmhGaXs/uBHOfmj34lIyshrb6N4/TsJ+ixU76fy5SfxraCyd5o1u44y8+nPsOU7biceGsefPkvto/cRbxzisR/6HgZGh1m75xoqX/4CI9/7HZz+wJ2c/thjdJr3MLFlkmLJpxKdxgqf/4+9+46y7LzLfP9933eHEyt2ha7OQd1SK1mWJdsCRwzGERhsYEwyhjUDlwtz1x24s+YCC2YMzMCaGcwMDIM9+NrGAdvYxgHL2JIsY8mylVPnnCtXnbzD+76/+8eubhlwElZ3y7A/a511qrv22fs9p/bZp7Xq0fOzR+aoRCFBUKFSj8h6KSYK6Xa7ZJnFVA3ogGZUJVM5WWohV/S6KZIoWtkyqh4Q+4B4dITOwiq1dSEutwzyhHWj61hcWaVRa+IyS2OmwfyJZUKEZB5EBBGh/cgx2otdVhZb3PDmV1G7/iYO/Y93EBNh04zazAj5ah/XzRndNEbS9oyMD5EPwfDMVszYCJ25M1S3jSK9HontEBw7SiyezB4huPUl+CyDIEBZD5FCT27j+p/9JWxvgcd/+7+TJgn1yTG23nYdp/72ED6ErS+4gbNPHEZnbXJfpLu8EYiFZL7Fw5/8LDN7tuESy+K+0ySNCkG7x8O/9sd4I7SOz+KcsNJwbL55D2PbNlO57yB+qUffg/aavG/RFEGSMDA45bEugfGYYDbDJiHiwTvQugh4/AOi0aEmHSRopajGMYNuhh5oujajsXmM2GpUr4P1GeF4ldoPvZlB1mXr1FayZof+bIf9n/4Kxmsk8LjMkSYJYxNjtDpdVABGYOf33MyZLz+JF01l5wydE+fZ8vJXcPR3/5ixF93E6IYZ6rv2kH3y00zfsIeV7EmOPHwYZYv1eyX0s5SVbpvmtTtgYZWRkREWnjiJFs3qiUWUaPxasEdrjc1c0TwTBiilEA9GNJXhGJzHWymaX0xAtVajvdTCKcXQzCjt+RXEK0BQokm9w6CQQIqZSOLx2l/sSIvrFTqLPar1Cq1zS4STTSZ2buHIlx4h7Q8ImzV87sh6CXmSIWlOGEeIgFRC+ueWGAwG9BbaVCeaDBbbnD9yijAMObpyGJN5zjx0BDl0Cmsto0OjNK/dRmXdELVbvpswdyQH93P29s+DFeLN46jjxzEzM5xP2kyOTtCvhIxv3cjy2Xl0J0cpx543fg8HPngXKgxQ3hI3quy67jpOHTvKyMQG5h/fS3euzchonaGZ9VR3ztB++BDzx8+w7XJeWEulUukSkuSrgu3JpQy5A+kASQeX9hiXgAKk0gCbPf3HlmPbSqVSqVQqlUqlUqlUKpVKpdIVduWaXy6Jn1y7/6iI9L/G9w8CKTChlNooImf+3vefu3b/+KVaIPAzl3DfT9vlCr8sATPA5mdof1vW7r+tFplvx5c+8DeY1U9ircUEBhGNCgyjUyPMrZwmefA0+584TjWH7lDI8gP7MSkEo4JsGOX8H32Ijf/pHVSqU2wbnOb07/8251s9bJrxwF2PsHXssxz+iy+w5wVXs/Gmqzn++7/M8tmEYFQxfWIfk9ev50grZMfH7iD3gnOCiGLvB76I5AlHFz/Ijt/6NbAplR96KYvv+TTZSsL6V1zDox/6G6JGnejoZ1E9hdeWdRNjkAvVqMpNP/EavvS//oqj9x8g1UJGTmcZPI5qo0qWFm01VnmiSkiSJahQ4cQigadardLr9ahGVXqdPlZybM9RGakTzYxALUZnin6rz9BwBZNrUpvjBimB5OQOGo0GucrBKmbPLiBKUQtCkuNnGbr+hUxMTrN6fpmOs9TO90grOeJg8cQyxMCyMD46Q+OWazj+sU+z/sd/mv7iadyj9xNOjjFYWOLMsdOYQZ+Zq28krDaw/Q5xYwynDYhgjUecoTZRpbvQo3XiPG2jUDhUIhz/wkPoRpVoYohNG9Zz/IGDoDyRCUEUxilmnzyBEyGoBoyiqe9cz/nZOcKekHcycJ64lzPvhc6JWVJyjNVUK3U6gy6B0jjnyVMLBirVKoPUseHabZxe2YekGUEQ4X2GF4vSCvFFpZeYIrAhIrjMYVMhqgXgNYLDJQq0kMyuYsa2ECzPMSCk8vzvotpfZeWJ48jkFMfe+Tkkg8bOdWRnVgCDWCEfODpph0AJ6265GjoJze97DeHBk9jVNmPjTXa8+qUsrXSob1tHVBcaW3bRfvRB9EyTzt2PMH/gNMoDzmNzizEGUqFzdJ79p+8mlZzeoHg+VnsQwXuP/qrnprVGaQHxKK1BKazP6fc9WkE0GuP6jixN6Xa7Fx+3OrsEYi4mQMU6jNZ47zFe4axdCxQpnHO4zJP1c5SCQb+PVgH56RUOzX8FtCIgQEUGyQWfQaAN3X6b2lgdnKe/1CIM46eOYRUdnWN6llwXgaJMeRpxg2S2hQ4DOu0l9NwS0ZZp3MxZotFJhiZGOdG1hJHBrPRJbE48NkW9tcChv/ggQSen3wwZ2z7D6t4T4DUH73yYMAyxDcWGq3bTXlxGxYahHRsZnDvH6uoqxoO3nubNO/DnV7BqrTWnVCqVngXkUodVSk+xOQTl2LtSqVQqlUqlUqlUKpVKpe9Uqj5ypZdQKl0x/1SyL6pI8bxp7Y9fa+QRIjJQSt0FvAp4A/C2v7fJG9buP3VJFlms4d2Xat//GJcr/LIPWA+8USn16yKy8I/dkVJqHfBGiv85dd8ztL6nbXC6S9MGaGMQLeAVYh1L55YZDms8fnQfL/gXr+L8XMbmq7bRPzaPiaE+PkNl4Dl5+gBz/Tqv/OxbufdvvkjY6aN8nbGNY8ydX+TEf/9zhp1l/Mdey4m3vx9nPWa8gmp7wqFRRj/xR9S/76foHDtLXzRxAJI6bJphtGb+1Hnmf+FX2f2y61g8f4Z66uhIxMnPPIKPcgYLK7SNEKWCc4pBz0K+DMfPcfq+AwTDdSKtkNUeoqAxVsP1PeCJ1omggwAAIABJREFU4oBABQySBF/VqLAIWvRW+yilmJ9dwETF62TQRSuOhNTWRSyfWWCk0cTUA5LlhLGpJnXdJIk17bNdnvNrP8bh9/4NnTNt4lqFJOtjKgE6EzJrsUdaPPmr/4GuDQmynOHhBmosIOx5WpGjUgvxXcENUlrLS0xWN1CdHqUyWMY4cFffiE9bhGMJ68auYeSGF+J1yCBZJR7ZgBNQAggYX4OoQ1RpMBxDr5+QJjmBVljx6MSx85d+mLrNefC/vBdtwHvFUGOIbj5guNagl3ZYd8Mmpq6/jsMf/iztpRV23XQdp778JJiISqVGLjlaAjrzHYZrMSuDAcnSKtWoghWHrsD4+ASdXhsda4J+wPknD+H6OVUBGwphFGHzvGhCyS1eBBUY1k5NxCmUF7KWhdAWYRE04PCVCv6Lt3Pk/ofY/bM/QjS+hbk7P87QC26lOj/PyPgMahjap5bxVrADh5MiqCKZp7FzgvmvHCA0FQYfeA+d2SXGZkbRWzfSeuIgsw8dY6ihOP3RR4m37mH5vvs5d2yOauLxYlDeYl1xvoiACSBH43oDVBCS4zGOYr2uCL4YY9Bak+c5IoLSgsYQBAHW2uJrHRDUNZM3bOP4Y4eIKxXSdnqxUUhjQFmUGAC8VngFYSXGphlKKfLcrr1OAhjAo7UmUMU4IZ9bPAaLpaoh6Q6KMI5SOF/8PNJeis89WMcAhw4UEhj6C23EGKyzKKUIlEK00F3tAhrVy0ijotVm/sAZguW/hnabPNXEArn3ZP0BC198kLl7H+PqN7+JQ0tdImfRvZj5c0cItSEYqROmlv5ozHhzmJP7jlDte85snGf1oSP0uylVr9FeSNIcu7hC5fprMXtPcMOrX3Q5L6ulUqlUKpVKpcvMHT99WR93qZhtm670Er6+k8e/9W23XILexZOHv8Zxrnrmj1MqlUqlUqlUKj3bxbUrvYJnxLfye/3y/2st/XOm/6mkX+BFFIUg54C7vsF2/40i/PLrSqm/FpHDAEqpFwL/GmgDf3aJ1/qscbnCL38BfA/FTKlPK6XeKCInnu5OlFLbgA8Dw1+13yuiIhobXPglemFk1xjTz9vN3k9/iWYyhIjjzIkjLH94mTDNGXv5tWzZtol73n07Io5bPv+n3PeXd3LVzddx7u79ZJGlNjVajJ/pWbb/x38H1U2s37WB+HU/TbdaxX3g7SzdcTsju3Zx5M1vgeEKw5EhHYD4FERhHUX7R55y5FOP4JoBm56/h42zy7TPLhDYmLAZENYNKg5Jkj6jwyPMn5knVlUGnS46tSSdDL8WOOgmbYJ6lbBqMF6RW49RAWEYUmlWyZxHe0cyyIjjGJ9aTM0QVWO8WNI0xZ7OqY81ac8vgRXGtozQOtJmSRcjxsIoZO8ffJzx9SN0VRs3yIiDiLSfEaqA+vomi4MWg1aO1TleBSStFuONCVqLjnq1Qn+ljw4DguE6tbEmvcMPEt9wM0/84Tu55i0/QDi6haP3fJbNr/kRmjXDmXvvIOqkNL739WstFx7lNU4HECrOfODj1Ldv59yZ+6mFhjRw2J7CiKcxVOf0u/+Sq3/ix3neL/4YNgjY94fvYXluhXiyTrffYsvP/yjBzFV85f/9D1Rzx7qrN7I6P8+Gm3Zy4vGjDHotfG6gPaBei1ltDcBCHIY4ZalUKzjnWJibY2RyjGQwQClFNNBkoZBVQuIgJG2nAKS9DKXWRiCJ4H1xEyn+qWOMRhMgWJSSYlST7bFw7ATXvPENmOmr6D3xJSY3buL4x29ntKbxz9uCf/QInU6fyGi8WCQTLJYgMKyeWMLEkCVd7JN96kNVlmdX4fNfZvXkAloM63/5x2kePsmZd3yQ+lCTCgZnFJJ5QKM1eO/x3gMKEofRAZL5orlGBJxHxBMQgDGoGph+MepJYdBGISKYQGGMxoknVAEnv7i/GNNE8f2n6s4ERCNGoUwRbdGmCLhcaJQJArP22l14l2tEK5wqpiKBIdQGlUFui8CME4cxBq+KdKmkOV5BoDRePFo0Knc4wFwI1WhwIihn0ECe51ij0YBXxeimwelFQhOB8+RVQ9bQkAubrruaQ/c9zCP/5U9oTgxRaaUs5TlIsU+ZXSGvRPiWY3l+QJDlZMowd+c+vPcIgm+GVCsxaafPkY/dQxB+BQBrLTsu2VW0VCqVSqVSqXQlPdsCLKVSqVQqlUqlUqlUKpVK365/OtkXfmLt/n0i4r/eRiJyh1LqD4F/AzyqlPocEAHfS/ELzh8XkeVLvtpnCf3NN3lGvAd4dO3rm4EnlVLvUEq9Win1Dbu3lFKjSqnXKKX+DHiSYjaVWtvfey7lor8R7y1YB2vBAhFhYd95nnz/F4iygH6/z6N/ejcqGMbhiEcanL//CCeePEUw0kCrkCPv+ijPfdULOfnwQfIwQBLH6XuP0kwCqiri7Ic+ANObsVOb6H7gnez/1/+KM198kMb0Jvb+8YeRTON6GRjN8MYmVDQKnmqeMApCyNOMc/cf4uzjx0lWEtwgwzlLd7lHd24F33esnF4h7+XkLkUMRJUAVQkwgVBpxgSNsAgoJBbvPUGkQQs28yR5hssHRROI8tgkJU8t3cU2LstxA7c2lkZYObdCd7VPEBkG/ZTGjiIkFHhwaYbNLPOnlti5exdhIyJzlpAIrzy9uR7tYysMRIFoTKhpjtdJe11k1JAOUuI4JowM/SRh7v5DVJsRwdnT5D2HTzTWDZi+6RaiUJP2M+ozU9R3X40/dgCT94ufpRayL3+O83/+PyEEn/aQNKcdK+pSBcAYQ2elzcjUNDaqkW2/lv3v+UsGCqrjdRrDDXb/0CtY+fy9HPmt38W7jHi0ydlDs2x58/+BGwg2tZhMFyN1UkevnSK2aBbJsgzti3sRwcQRJgpojoyQpjlJMiAMQ/zAFaO3BLwrwi1KFQ0mwMVz8+J4IFUEQMSBs5baSJ0dL72Vda96He7cKThxAG0sT3z8Y2x/7jUc/cqTtO56hJWTi8TKILlCq+Cr3gcel1sk1QQ6xHhNt5VQ0yHJuTajW6a54Qe+G3n0ceYfepLOQptzh86iAeM1tbE6XhXrDsOAC3nkIAhwzhXhjLXruTFFs4tSa2OI+kVdjDZFcsXhCGsB4UiMGa1SXddk16u/i7AeUkyyeir4cuE1imoR2hQpUKUUVmyxXVCEV0QrMPrivY40KE8YGVCKqBrRXNckqIaooGiQuXh/4bXWxb6dcgRhcclVa6OPnLXFC3mh+UYLKEUQhqgwuNjQI1YIiYpzoaKhUgS03FLCkb99jDCPUBJQC2v0grWgE8U6cqUJwxixGo9j8/N2IziqYxXioRgoGmTy3CIjMZObZxi7aQfOKRbOzD+Tl81SqVQqlUqlUqlUKpVKpVKpVCqVSqXSM0wpdVAp9StKqYkrvZYrTa39zu9y357h5xDz1Mii936z7UXk/wJ+BthPEXq5DbgTeImIfOQZXdyz3GVpfhERq5T6EeAzwHagBvzs2g2l1ApwFugDKRCvbbMBGP37uwOOAW8QEXs51v+1KAe5ywmC4EIFBEiEsjn1PWM851f/G0/8/K8wMjlGOtehlfcZrlYZXj9M+yGhZRVaAp784P2MTQyxsrKAMwG5WMIkJRiv0hgfZzB/mM7e/WRZwmB+BYka7Hv7R9HNCKeBbk5PWwatAYjFVgPoOoyGWhCS55a6DslzR2RCtCsCMekgZcdrn0P71CKt/XNkaYo4SNsZVjwuGaAj0FVDNBzRXUzw45o4CXFZhooCms0hvPIkSUazWSfrp6hEkWe+aL5wnmyQUq3VyJIMpxxRGKKjGJsKxni6pxKGnzvNygOLhBEMTw2RZRn9QRfby4uWjUgwKkT6FgJFqBQm1mijIdKEQUSW9HF48tyybtM0LuvR1Z6H/8dHGJ0YxVY8Z554jIl1DZoveAl2kJHnKWFzGtMcQ+cd2l+5HXZexdDoVRz/q88wEGHPy5/P43d+iebGYXb+ym/w+C//W8gVzhga64doPv9qgrrm6O//Z8JmRK2f03EZu171Cth1Lf0n97Hl+15AUKtw5jP3cPX3PZfOA5/jxCP7wUEWKEAwGPI8BxSiwZgQhkKGG1Xa86sYBSvzK9TqMYFR6G6GGW/gnENjsDZbi7JpdFFhU4Q4pBjZY61FKTCVAJs5lFeI8awO+ujT82z9nhkWHniA5U9/gHhqhKkNkyz3uqTOoVf7iCoCR3lqUV6Kn691eC+ExhTrCAKsOOIoInUOcY7k9Bxz5+fZcNv1ZL0+XgSckA2EMA5IekkxLmqtg0+HAcrL2jgjCAIDpgiKKKPRAjrSZKlFiUaswxtPXIupT47SeMF2RlzEILEMTs9z+PBRQmtItUYMxfHXPoD0WojmYitOEKAxVIdq9BY6OOWfCssAKlTEQUyapjjvUYHBWksv6WOMwhlQRhfxHdEo5cGAovjQ0zrApRZtzN/5MPTOrTXOcHFsU9FbKChj0M4hayORcDB16y4WHzmGafVwgQYp9oFSrC6vEI82qfoezjmqY8MYr+hkfQgFQXHqiSPF8xqrkx2bo7ZxhKmN09Q3bWD/R+4kiRus3nMIiYSNOzdf6ktpqVQqlUqlUqlUuty+ehTSP2IEkj/z1OP1xn/4eFk+D4AaW//011YqlUqlUqlUKpVKpX+Mq4DfA35HKfVx4B0i8rkrvKYrQl+u6o9LSERSYOxpPuZdwLsuxXq+k1yusUeIyFGl1G3AfwXexFNj6RRFwOXvh1z+zsO/6v59wP8tIkuXaq3fKmOKkSjii7YOU4Hn/P6/Jc9Gaf/J/8J3Hdk2zSAIqYYNXAQH73kCn3cxKsRrjyhLyw0YHavTaqXkQJI74vN9zg2eoL3/N2mfWGX0mvWEYZVMCxVlsIln064tnD10gkqlQr/bJ7MeYz0ohw0MylniagVvHTtuvoo0UMw+doCR4XHmzy5w7K8ex1mLrI2IMR4UGu0dKHDe4JIclQuRMqhEUALV0cbFlgxtQkKlieMYscLADy42cwBoVQQEtNY4a7FiUUZRiWJ6vR6mUWGwbxk15JjcMk2/n2LbA3rrqgRjNa6/5VrOHDzK4okllKEYGWOKIEKe5pg0Imv3yLKMWqVKnua0Tswz9YZbaH38AUhg9XwLQsXqA4fZ/hu/QKoCzFCdKh7EYJTGG4s2DaqTV5O0zrP9F9/C/re9i3MPHiDMItzJNq2/eDvXv+k17P3QnYizdE8sEc63OPDoRxjZtYnZh49Ab8DU7s0sHtxL+ORj+DNtzs09Tm9+FaUUJz73CDb2uNwToMhczvTMFO2lDnlui+YWY8A4nHN0Vvr43OMEtt+0i4lbbuDgx+8krFZZPTfHjT/4Ch79y8+hAo1ea6250DgSxTGDdh+tTXF+GkOW5AShxith4zXbUMMVpm+7jfm/+QiL+w8xvHmK0ZuvId69i2Nv+zMip1FWcOJw3hMEAWIdeW6L0EZg1kYVQZ4WP2efe5rDTVq9FiPNIVbaHZa+sI8sSdASYm0xLinPMgITId4Da+u2RYhDa41zxX5FpDiuCA7BZhnKK5zPCWohHmFk0zS5FoY2X8/Bd72Xiduew/kDRxm5fgfL/S6CQhlNFEbkWXYx1HKhESeuV8hsihJNt92jPlKl3x0AYHFFyE1LMb4oDoq8W2yo1+sMTY1x7rET6LVWF+MFFRqa0xNM7dnK6aPHodWnElVZPr+C8k+FbS6QtcCS9544LEZCmSggTYvn+tXbnfvSPrQz4ASliwYmHRmceKy1hIFn3XN20F1cYd2NV7Pw6H7cnGNqwySNq2ZYfvw4A+0YHF2gUq8xNDrGqYePoh44SH10mGiiQWWhhWlE9Ob+2bSglUqlUqlUKpW+icHRuYtfV3dMXcGV/EPPhhFOZtumK72EUqlUKpVKpVKpVCr987UN+DngzRSNIT+slDoF/G/g/xORc1dwbZeV0v905h6Vnr7Lmn0SkQUR+SngBuA/AfsoBn7IN7g5YC/wu8D1IvLTz4bgywU+FzTFqCGswzzwMAd/660cve8ANGDkqvVoNaC3tEp3tsu63dOMbV+P1hpRHp8K0s5YSTMq62qsu26aF3/sQ9z6Yy8iDuCat/46lcoYrYMrrNs0STXwPO8//AJbb9tFt7fKrh98EcNTIzQ21DDDhkgJYhUqEWojVZJuQj9POHj3k5y86zHyZc/yuSVc3xKEEDerhKEhkOJC4HxetFZgIHeE1QhihanHiNOoyKAAay1xXMV1UowYRqZGaS2uIt6jpGiowBX7S5IEE+iL42C8F/r9PtWhGqrnkKpQ1zHZSkYy18dmmu6xVbJuwonTJ1heXMUYjV4bdSQKJIewEjPo9vDG0Ww2sYEjiAK89yx/eT+qGaCigFABueBT4chHPsXqez6EPnoAySzSXYWzJ0i/8hUaNz2Xc3d8hP5f3wlHDxJqxcrZJXwvwaqAM/tO8+j7PkUQB+AVEhn2f+qLbP7e1zH5A29m97/5ZSZedguzB06y8MABjt6zl+7qCp35Fn6QY0Qjoki7KSPXTrP5lbew/SdfwzJ9+t0EWQt7xEMh3oFOixFSTml8Kpx65CgH7riH9koL6y1Rs8n+T95d/LzWxm+ptYYW8Yq8n6293kWDibUWQ/H9eiWmd24Bu26M/sIc6fwSjfEG6557Lc2ZbXQ/+Tn6SYpKwIovxkyh8Hkx9soYTRiHPJVLKzixVJpV0kGP5/3az5Mqh0o9duDQ1oDzF2tefCZkgxScRwsocUUARiuCICCIQ7gwxkksfu05GmPwkSIINNbnVCo1+qGw7U0/Qnx2lute9t0s7D2ErYUsfvkQzhbPWVOEf7zj7zSteBGiWsSGXduY2b2F+lBMP0uJ6iFBZKjWa5gwQHuFiEOMZ+TGbUxfv5PhazbS3LkRCR1BFBZhmqoBB/WxBqai2bbnGtZfs4283yGKNTpWYMCK5alci8bEIUHFYMWz6/ufT0rOupkpAg1eeUQV4S+svhgoAxAFZqTC0PQoYxuniLuW3sFzTF6/G7/SJmn3yds5546fx1ih1+uy+cU3QUWhAwU+v5iC7Sx3WXz4BHnmMGjaK+1n/qJZKpVKpVKpVCqVSqVSqVQqlUqlUqlUesaIyEkR+Q1gC/B64FMUE1beCpxUSn1cKfVapdQ/gV6Ub0ypK3MrPTtckRNcRPaJyK+LyPVAHXgO8EqKJNpPrt2/ErgRqIvIDSLyGyKy/0qs92vx1uGtQ4cK7z02y8gTz0PvvQfXF0xoaEiF05/bi7EKZxU+9/TmV1g8NYfDgS8em/ct0oVkvkfeTbjnjT/Bw5+9lxv+5ztJ28LmX3oZgXOM/qufpfPbfwrPu454eIhep8/jn7iT2YPztI/1qIZ1stQhEbg8pzPfQXC8+DWvZmLbFF500Z4xsIgIuXc4yTGxJhgKqYxVaY43iRsRhEJUKxoujC5aNwiKtgmbOPLUkrb6BOKprqtw6vHjKE8RvFhr7hBdNHYExjDopkXoQQRxayNjejn19Q1iqmSS01nq4K1DrMc5x9CedczvXwAJsInDqSIcYqIAS46VATqICW2E7eVkqzlJbwDG0DmyxPYb92ACS2O0jlA0qeSHF+j4HuniObT00YGmve9R7IZ1PPwbv8Omnbs4v7TAIx/9PKM3bCZA4SuA8wzmekQOhkfqGCXY3DO5aT215jjWJVR9won7HsRYQzI/oF6N2XD9Tq5/3YuojTcI90zT7yXQV7SemMVLTvfxg4RnBihbBKisdaTLCTJwuMSRdTP8ICdQBixs3biJWrOOtx76A+JqHbN5mKARFueloxhBdGGMkDaI8xcDMKKLc66DJ6xXWbrnYY7cfjfKGpaPzXLywcfoP/JlDj56GDcotkV0EVoxuuiKMvpi8OLCvVIKnMeogO5KhyzLyE+eIe0OCGNNVAmLVpgLLTFrLTdBHOLcWujFK1Sw1lJTCTBrARVtIDKaQAv19U20K9paAqUZ2TTF1je+hE3fdROP/e7byF2PBz/4OdyJNnoxhbzYFle0olygtQalsM5hoiKUc/6xIyytLCJeM7NnEzaAYLjKhqs347SnMTVCZbjKxluvZSisoJxFNUeR5hDjN1zFxPZpRqfHcKrC2HQDVdNk1QrLzhO+/g3EO6cxIxUkUDRHG9Qmh1BKMJHBhDB+1QzxcA2igLMHTzI0OYmrGdSGYSrDVcCjQ73WuGRQWuOVJwg0M3u2E08MYRDWv/o2knzAkU/ey5G7HiZZ7BLqYtTSwbseI+3mnHlgH5tvuIrcZgxwjO6cQYURlWbI2FVTBPWAwWKXYLh6ya+lpVKpVCqVSqVSqVQqlUqlUqlUKpVKpW+fiHgR+ZSI/ACwGfh14BTwOuDjwCml1H9USm29cqu8tLRSV+RWena44ukuEclE5AkRuUNEPiYi71+7v0NEnhSR7Eqv8WvRgSlueq2ZYq3xJB8k2GRA1rIst/oMRTU2/sxrQfeoDtUwZ3PW37IdqSsCDEo0SoqxQYl1dI+uYPt90o7j7n/5M9h7P8ncHQ/C7jHkc5/hhs++k70//+85+pmHyZYTTEsRVMDh6M62ITD4gWBUQJplyADu/NDtLByZQ2xInqYYHRZjXESjMo1LPeSetNfHBUWQIQo0F0bRuKBoWYmDEHEesY5arUaeW7qDjOUTy6SDtAhJACiP4C62VPi1n6DLPUIxLgrnCWoB9lwHFXh0FDM02SSuhQxPjrD1+btZfeQ827ZOE6wFGMRRhGdyS21jg1BpIhVSHa3hA0+lavAKnLOYasSpu/biJmoszrYwOsSg6XS7rD45z5Pvuxu1tELr1FmG4hr6keNUa8Oc+dgdtM4tUMks5+89jESaWlChl/UJUSAh8ycXGJ4eJagazp86C90lmD3K4//5j5gYmiTIPd4o8gVh9cgspzLHVa++jWipxcSGUYhjAnGcu+sRug8dojfIEG+LEVTWkSUZXgSJhbga4/EE1QDnPHs//yDXvvzFyJkew0GD+PXfz3Ne+wqyEKKhmACHluJ89M5dDJvgBaX0xVCMynNSD7pRw3dzVp44ST2oMTg8x6HP7yf0FmeTolHGFiOsfG6JK5WLY5WAi+e/ta4YA2YdiKAJ2fueT+NSh7MKEygqlUoRWgkCtC6COLXJGkFtLeSiFDkeHwIG8BYbK9Jxw/W/9Caqz99epCcrBnLBaeh129jZOVrHTjE0PsaTH/lbtBey/gDvirFGef5U6GXtQPgsRSmDGEdttE5t2yRqvMro7q00pkYZvXY7o1MTrP+BW8issG79OnLvUJUqy0dOkHlozGxgZKiO8gMCsTSvv5pobIiZ521h6F+8kaHnvZw4HqU2UsGcPUxTV3ChYfst16ECRXNqDKMUGgiDABVXqI4OESpFdmyOZG6FkfWTTG7bRH1mgtro0FrTTQVjzMUxS6KEuUcOoENNVh1m/0fvwFrB+uI96DO31tZjkEhhjCI9tcL88XOMPm87lWaVpN0jwjE0PU60rsnYxDg61DTr9Utx+SyVSqVSqVQqlUqlUqlUKpVKpVKpVCpdQiIyKyK/C+wC3gYoYIYiEHNkrQ3mxiu5xkuhbH65spRSdyml/p9vYbtfUUrd9UwfP3imd/jPhdaaLMuKEAlFoEMphQ5DPCCZJ888Cydm6f3J7Vzzhpcz+aM/yb0/8Yu4B/toCyo2BFExlqY76BKoYl9BEJCnOdo57v/zO9FZEY45+OQcJo7wAdh+VoyK0UXAJI5jBt0BADObp5k9OUsYRFRHK7zgJTdzcu8JfCzMHjqPdRl+bc1eWcIoInOWKKiQd4p9aGMwgQGEKAzI8hylhdp0HdfLSGyKV0IYhjhriyCN9hitcU5AFeONnCuCEyZQa+NrikCNCQwC6KkK67dtot8fcPbUOYJ6iLcD8r1nCYKQ8yfOQ07R0GEMIoJ3nuGRMSZ+/I3s/f13YOergCLPMmrDTZJWD584vHaYszkiHpfkVIar5L0BYb1KUNXM3/8IOoAnHtwPeU51yzRn5+aRtgMXkaYJo41R8n5GpCJ8ktP3OWE1YOn0MsYYnHWc/cQnUH2LrUR0zy5iaiHrt04ydesu9n7ki9QeP8j5qzfQbeds/OGXsmPntTz81rcxGAyoEeCdRem1kUUUgQ1nLfWwQhAF1CeaJEmfqB6RJBlP3H4XSgvNX/hB9B1f5mTDMjk2zNgbX8HBt30YlTq0MqQ9C6iLYRVri7YVHQYQBiibcP3P/UsefOdfoJZSeistCELCUJGs5IQqJLMZRQNaMYWs2+6hPASBubhft9Ysk3tHEBkQRZ45wjhAOYeEglMeqQmVSo20M6ASVPDek60kxYgtIAg0zfEalXWjdM7MkkfCyMQo1/zQK1nZdxB39ByDpYS4EqIqgvWeKpqEHtFzX8Dp2x8uxlsZRa1WJekMLo5oAi6+vpXAYE3AyJYx+gstQqNoNmoMahVGJ8bpnl0hvvaFbJrZwsHP3snOF9/KmfufwKx0GbTmyaMa27dMEFx9A4PVVUKTMfK8TXTb59m4fZrWiRaz7303m179vZw+sI/08Fkmdm1lft8xqvUmJ+99ktw54k5C7hwiQmwCpl/zemYPPEqyuMjo8DAjW6ZhkJDmOUneI+v0UVbjfPGYfJARVGLILLlS+NUWjV1XEcWb6S20cHNdxBfnlV5riQmNwTlBIchKSm3jRka6ntPJYdbfci1mrMnCsROomZCxmWEmpycu8ZW0VCqVSqVSqVQqlUqlUqlUKpVKpVKp9ExTSm0C3rJ227j21/cDd1JMYXkd8Cql1BtF5ONXZpXPPFUmUa60lwInvoXtdgMveaYPfsWbX75T2dRhvio75NZaNkSEzc/dRnN9g8ndU+hQc+1rb6GxeQ+D8+d48e/9Jtn2BrUNVdCeuBpTiaoor5C1Wo7cpogVompEc7SJ0prE5kWAQIS838MEgss9eWoZDAY0J5tUmjEAsydnEe/RXtAm4KE772N2ZZ5ktYPuhEPtAAAgAElEQVQTix+Si2sOJCCshoxvHKM+UkcbQxhFSKAx9ZCwGaGDCJtm6JomTXNwrO0bTC0Co1CmCMz4tUYQpZ4KXQAX/95ojROHqiumd85Qq1Vx/Qw/yJi+bhuVeoWdP/uDmI3NIuziQbQU4SJdtJiE2qACxZE/eDfGBrjMEsRFm03a6pGnFhwYgXzVYrRGck8QBIxtHKU6WmPQTnFZh+qe3fiapus8K6dniVLFxPpRktwSUIzwSQcp+SDHiUJpwaUen1iSJAFxNLduYviarYSVGJqK8VuvYvLmPez96N2MRBGr5+cZHD1H1ko496E7OP7u9xMEAcaEdAdZ8SZca80Rr0A0YRxhAkWWpvRXu7jEY11GUA/IxHHtW76H4XCYfYcO0frbY6zUFEff/QnytKjZ8Q6iKP47F3jvi3FSXiyJcXT6jvzxfUxYjUkt3mmUhaSXEBDglCMMw4uPFwHlBcxTIR2AMAwIw6AIYymFSDHGyGaOerOGiJC2c2wrw6UZAqAMQSUky3N0GOCNENQjRrZM0Ol1qF6zkRt+8rVktgW79jB6w3PpzPVRoskGDp1AqAJ6nQFRZYxDv/d2lAWFJ7BC0hkgXzWSSUcabSCsaCqTDaphxPbXfh/RSI0Uz9CtN9IdqZJ3+oy/8rs48/nbefyDH2HHK17B6hceY/nBQ7RW+9heTriccOD9X+SR3/5DWDxLcvAUkekysWk9+26/n8NPHCBbzdn3559m8OgJsk5OMN4gzx395VXchfeEFaIoAgO2HqO8pf/lx5jcNMNgfgVvHbOHTpKdWiQ900Ll8nfeU8YYlBeUaOpDQySLfU598X5G9+whTXPEqIvjylRF0dw4ztWvegFhJaS2rsGgDunBM+RbJpnZsh0TV3j0A7ez9MARzj98hHP3HmD/nQ98m1fKUqlUKpVKpVKpVCqVSqVSqVQqlUql0uWglDJKqR9SSn0aOAb8JjACvB24SUReICK/JiK7gR8FHPDWK7fiZ17Z/PIdowLYb7rV06Qu/CL1SlJKOYqqpV8Vkf96pdfzrfj8c24V730xnsWBFoO19mIAZs+LruPAffupjlbod7vsuO1m4jBH33YjG57/WrIz+9n7W3/MinQJbZUoTUlEUEHx7tBaE1dCGhMNltsdwtAgzoMVNt64k/Wvfwn7/uDdDPoe387wUUh9XcDwhhlmD5wiJKC33EeHmqgSkmUZKMF4RR4p6rUKySBDGxgaGqK11C72H2qqFUUYV+n3MirNKq6fMHbVeqov3kPyxb1UpzeweuwYndkVrLWQqSIYIWDzHBFBvEKLRrQga20vBIJohfU59WqDuBqhAB0IU8+/hnUv/36sCZGsT7i6xN7//WG68x28UZBZvKyNP/L+YghAKVWEZIAsy7CZYFRx/AuvowQeHQfEcYzHEcQBN//0a1h59Cit1ipzB06D80xtmeLskfNEQUSaJKi1kT46MNSGa7QWWxhUEfJxjkq9ivcCDc1Nv/Pv6f7Vx0hGRuitrNC+9wD9LGdoqEGv1UZyhx6uIWlOdXyI61/13dz/3k+hiMj7CReuiSowuNQR1cKil8kCARgUo7unMVFIOtel3+4giSMPFBpPZbRB2h4Q6RDnPdZaxPtipNWFfSuF1goVKsJmhWa9RupzOrMrmCAiTy2RCfDao5y62NojUgSltL6QlSsaf7z36DBAV4Qwikha2Vq7j0VhUFrQlQC8YJOcdVumaJ9ZIA+EyugI2UIbyQWCIhwVVENsJDR9FRWB+Jzdt92I0zWe+MwXSLIi2ALgtS/OMVOEoTLr0VIEcvzFthOFUhoVaCTWDA9XSWKY3LaJ0w/t5+pX3IqyMPf4IYwJCUeHyPtdenHIVa96JcmX7uPsuXmyU208rmg4AgiKUUWVRpV+0qdx006i5jidex7Cp448E1D+4uultEbWzt2vZiqaIArZ9sLncOK+R/DWQ6SQQFNVETt++JUceuRB8odPkjqP8ooARaodaIWxCsLifdAcHkIFsPOVL2T1zDzH7n4Yaz2VRoSZarJpxzZ6vQErjx9h6oZdtM/N0xwbw4mjuWcrq4eOMljsQmbpnFslt5awEpIPMm7567vKj+zLpbss2PxKr+JZQZLulV7CN6UqjSu9hH9WnvFz4lKfY+kASQeX9hiXgBoagyCGIPzmG//9x36r74mRqfJz5XJaPnfl/2PvaZDl809re3/m8DO/iJOXYJ9f91jHL8th3PHTF7822zZ9zb//VgyOzl38urpj6ttf2D8xX/3a/qNt2fbt7+NpH/Oqp/0QvfFbe4waW/+09/20jc2UnyuXU7/17P5cSftXegXf+eLalV5BqXTl1YbLz5bLSM4d+rqfLbI8+9TXcycvy3qerdTUliu9BFR96Nvbwdf5jFHf5LNHys/3f+hbeE2k174MC/nmvu3z5jvZ2rmtZnZdls8VpdRO4OeAnwYmKX7v/gjwp8D7RKT3dR73YeD1IhJfjnVeSkqpJFIqPvf8PVfk+DNf2UcmkopI5ZnYn1JqGvh3wGuATcAAOA7cKSL/YKyQUuqngP8T2ANkwJeB3xaRLz0T6/lWKaU88C4Recs32GaI4vw0IrL1mTx+Ofbo26C1xlmHZOAkB120nagADt17CI8n66SE3jM4fY6BMVz/8hHe/6KXMb5xB+ONChObJuieWKVbE+ouLAInlYigYiCOmT+6iESKMI4QPEk748Ddezl7z37MrimoZPhexuiGIXrLCWYlI0CRLLZAhyjD2uiaYh85llAplFOoCJr1EbrdNpXRiMndW1k8fIq8kxBUPD70OJ8SzQxjnWfhI39LRTTp4ipbnnsDh5YfxTuw3oKXYqSR1iCCQuGyIjxRBEgUphIRhJqkq3BZTi4gAdRv3MbIS16GVGuIePJuQnvffrqtLqoSQD8DpVAUV+oL/xpWGEQs1grOClobtLZopREUKlCE1WKEVCAawRFHAe1Bn/v+8KMERhPXqmy/8Sr2f2Ufq632xVBNEId4BdUwwoyE5HlGo1HHIYTa0O32sOJxeHSqWPr0X9N8+Uupp47W+/4SPxKhV3JWl9sYFEMb1zEY9HAdsIsD7v+zTxCN1pnYPEU8Pcbclw7RXi2Orw1kSQYaqtUa1jvCeoWVk3NU1o1gl3qkuSVCI5lHKU3eStHoYjyVKkYSWe9RirWRN2utLABeYZyltbrKhut2MFgYkGd5McrLWXzuwRVtO8YYrC2+pwREFY0jDiGIDYKAgyzJ0bFCbPHnIgDlCQXS1GLigPbCKqNbpshsTldSxmbGWbd+kiN7D+IHGdoLdC2DhsW1/n/27jvekrq+//jr+/1OOfX2tr0XdmGX3gQLqMFuDCqKBNEQUaP+1MRGLDH2qCQmIRh7Q1QUMRQFQZCO7C67Cyzby91b9vZ7+pTv9/v7Yw6LIaAgsLvgPB+Pfczec+bMfO+cc2bOufOezycEJGuuuodQGlRkkZFGC5LWTeahIIkkjA021qAUKJkET5pttsBiHcMx/+88orZW4h3bUJVpxjftZNf1a4hdSa6QYc5zT2Tz1TdCSxZvYIx1X/gWytOYRjM81KzMIxQ4SqG1JgpDlFDkpxtMb9tAFFokEmTynMhmKzSjNVibTEkqJCVTQaNRZ3DN/dQrAcpKrAEVGaZMwIbvXkH7klnU8x6UGkllKCVp6W5n3smrsbWA/ts3UinXqExMgaPY9j+3UJuoIaWkMKNIOFWGiRo7+u8lijRuLNh560Z8JSnvGsNr8Rm4bysmo8jhEjYijLW4WYXfmsXJpIeIVCqVSqVSqVQqlUqlUqlUKpVKpVKpQ9wWklOodeDbwCXW2sdT3n8aeOJXwh3Cng1VWIQQJwHXkFTteQD4BVAkCba8D/jAI+b/MvBekuf/OpKqKi8CXtxsa3XF0zzeHY+46UwhxPMfY3YH6G1O/+OpHkt6ZvNPFEcGYUEohciCKySxipGRIrAa62oy2sGEBr8zz+ieSUqywW/O+STnf+kt2EIb6796DdWtk+TbsshGCVHXkHcJTUxYCZG1KKlsEliq9RrC9ci1ZulZPpepvRO4kcY2YDKImB6epGVGOxPBFJn2HO19XeQ6fPZuGETnNTJI2uXkO33CcohtF3TPnEtmzgpWPv80Shry9/+aYEEX80/4S3Zc/Clw2uj0fKZntFB/cA+9z1nBxA3bWPaqExmYmMBtLRAGU3hZn6gRIkgqbuhIY4RBOEmQw/N9wjgiDkJ0xeD4HiLjoLTA68mx/LVvQFuFcDxsvYpXrbH5gU34nkej0sCYpJ2NkJK4WYFESIkxBpPUGEEphzgI8TyHOI7RgO+6KF9RLzewkUFqhY0ssmHRyqByDkEQsO3eLbR3tVAZr1JsL1Kt1HEzDlZDKAxHnLya4Y1bqM/0aOwdJzaangVtxHUIyppM0WHg7k0sNJb+7bsp9nXRs+pk2uYt5uYPfQFPQ2O6QVyJMBhsaCnMbKNv1RJKExPk6zFOZw5Kzeo7QuD5Hm7OxzRChIKGiCm2thCMlclmPcIwRDsiCZooi+/71Kpl8q0tVKcrCC3IZDIIkqotohlGsUbguBJZ9FGhZuB3mwgayYHAybqYEPL5PLXpSrOKioFmXRorwFoDSISxmCjGbcsQBTFd3QVmP/9ENvzwV2Alji8QNglTCCHItWdpWbWEjnmLETLGmzmHjf/+dYKBfnpPXkl5/Q5sR4F42xC2EoLW5FpyCFcQ7ZtGIYmwKKmSMI8x4CQBEozACoe2rhYm61X82EM4giAIwJMcc+5LqccBk1f9Er+nhanb1uNkclSmJ5ERuHNbGLz3PnLLZiH9LOP99yOMwTSSNlT7W0cJgxAK5UoKbXlKE2X8rgJjWweT8FWzrpnjyKQiEiShl2alIgCrJNqxyX5DSrItBcxDFWusxQQGrcEajbYwunF3ElyTLm5eUHQDatMx/TfeSeG41ZSqNTwpiR2JDiJq9QbZrgLlyTJBtYYNDCaKkDZpVRahQUtCDFIpalJjYousGRqmjtVgXUXPEfMpuhlGdw0e6F1rKpVKpVKpVOpZ5vcrxjxdDoVKNI9VSecpqQiTSqVSqVQqlUqlUqnUH/YAcAnwXWvt4y79Y639G5KKMc8a4hmefhFCzCQJvvjAax4ZXBFCHP+In08jCb6MAydZa7c2bz8JuAn4lhDiJmvt5NM47Pm/938LFJr/Hk0EDJIEej78VA8kDb/8iVxPJSfgjcHNuhjhIiPAEeS78oiios1rwfEF+e4uujqKXPGFK3nRGSuo5D2+9rZ/5wUnLiHjKmrj5aTay8IcK49YRnnTHsb3TuD6DvVqQKxiDjv9BIqOx/abNrB9/VZ8T+HVIc5m8TMORkOpfwrjCFRB4ne10CBEORJXCpa96DhK42N47/oi2VYXWRtg8GMfpz46yh0ffi/LP/ohwle+g747rkHvvpvpkRr0OeybDmBohKM+/yXK13wX78Q5cMxpOFd+j8rAWLINrAQsGIitxsl5qEZEZGMQkkajgeM4SCExvqTQkaOqQ8quYd6CmdQFKGmROkQoie7r5YjXvpYNX/serZk2JobHwKgkvCGga8EMgskSlelaUgnGgrVJVY3YxmAlUlqksDSm67hKYYXAdV3cnEvc0MRBjGwIrIB8S5FYR7hFj/JoBekoIq0RFvzOLBuvv4vlr3seUw/upe/EXiqD44yZGkUs0VideLxGcWY7u2/aSCMrqI3U0Bu24ToK34ikIk4YkO3MEVRCrIzJtrWw4451zD98OTvv3JxsI89FCkHYCDGhwRCiOnxEPSafz4HvUOxrx+1pobJmJ1E9xMt54EmiOEB6Lo0wwC/6xEbT2tlGa3s7YyOjTI1OYrXFcRWRZ8h1tFLa1A+BAGOSijAxOEJSr9QQKnlOrX24xVEShoE41jiuAOky9/mroVxHF4rc/ZtbyWmBVRCaiGJrG7bewOiI1rmzmbFkGXr+4diMhShm2VkvhWpAWJqk8OIT2H7d7ahmtRRHZqiMTyJRCK3BkajmmLTQKN9BSUlsIlxPUmxrYdFZL2XTT68l9gTViRKecUHB9qtuZe6JR9DelmfXfZtpXTqbvbc8gMLDiIix9XsBgVAWkEkAxDarOAmQCpTjYNEYINIxul7DzCwyZ/58dpc3E0eN/e2NjDE4TrJr1c3/G2MQCjJ5D+W5WGPwj11CffteSnvGAAU2qRxjrEYhkrZSJK3DQtsgzmRRoo2OD74PL+cz/NUvk/UcQkciynX8vAcGGrU6wgioGLQVZB1JjCaXyxMHMY1agAUWn7SCPXdtoqHBxJpCRwuliUna21sJMi7F3nY6nfQQkUqlUqlUKpVKpVKpVCqVSqVSB4vonXdotI55kq3xHrO9kZf9w497Umt9dno8fSjT7fbnx1p7+MEew6FCyD8+zyHucyQVX971aBVbrLV3P+Km9zenn3oo+NKc7w4hxCXAu4G3AF96msaLtXb/Vn88bY+eTumZzSfJz+fQrkFUI2zzcBKO1BCjghGTtLFR7j62xjGzFncxua/B2H/8kueunIMJI0yskQi01rR39lCZKqNdl1mrFzA2NIqoa6SB0sZdlLsylOOATJsL5RiNg52oEGcUs05cwN47dyBqlqAREaoalVqN5c9fBXNmML1nL7saJeZd+gnG/voz9G1ZR/en/52cjVgSVcDC/Zd8hlmrj2Tt/9xMDkt7e5HxBwbJLJvBfRdeiJ6qMPO4pbBzLbtu34w0hiM/+lbu/+TXCbQltgbX9XBdl0Y1QLkKgSSTy2J9SxRplOcjhGLFcYfjLOvFW3oCVmVAxxgjcDyBiLM0qpPMWTyX/nt3IzVoaxCOpbOrgF7QyhHnvoY7P/F1sDGer2gEdZQvsEYilEVbCGsxbsHF83yULymNldBWoxyBjixRECM9Sb1SxZceOogRCoyJUZ6HRBNioD1DY88oxoHOuXPIFLP0zpnHjp/9ilVf/keiB3/HA9/8JVEtICcK1KtVjLCYLh+Zk9iqodDagu32CDMui45azM5bN6J8j513bEoCRK5CKQdrDW19HVTGy0lbpXJE79xOtNYE1QZz3vAKgnX3M5F1CRoxUT3CRuBmXKJ6SC6Xw3EEquBTrdcIywGVqTJKa2Jh6epuo/PE5ey+ZyOOcNAiBiWx2tCoNZKqOkKATF7LUsqkckyz6ksytcSOiy8kA7uHyPe00aU1hemQKCMxdYPvekhpERbaD5tFy2Hz2HbD9Sw+bylWtBI6DfwFK4i2b2Xf9bcRKRCNmDC0WGuwOkKJZmhESIyw+E7SispkIFfI0JgOcLIOsrcdObOT8tQ4tfEpVDFHIZ+lraeVqdEJ4nLIlmvvQnqSsN7ADFRxcTC6WZHFWoQAowEM0iaBKm0NSiWtnUKr8YUl316kbmNirZl/7BFsuXs9ohHsr7Cjmi2NoNnuS0osYKTAlQLVmqeQyRIXfRp7RujubGdkqk40FWCan0YtgJIIBZak/ZT0fPyGxHE1YmoHxbiT4dgya9US+rfvpOf0Exn/9XoajRAb22ZwR5DpKSCsofuw5QzdupHYBddR4Go233UfVhtmrJjH5Pgkua52jAhpnz+Tsfv2sG94nGi0QvsB3J+mUqlUKpVKpVKpVCqVSqVSqVQqlUqlnhwhRCcws/njkLV27GCO50BKLvB/ZhJCtAOvI2lH9fXHMX8GOL354+WPMsvlJOGXV/A0hl8e4Txg2wFa1/+Rhl+eBCklQb2OEyi0EghtkmoNUmK0BilBCOI4RliLCQWxDtAOSGIyysE0YlwvQ0PE7Lx7M4cdv5TBiSre0nbypTxVUUaHML5zgsYejWsVTuxSr8coZfFyLkSWkbv6ybcVUDlLoxpSL5chbPDAuk30ZiV9x59M73EvxJammQhDCstOobTmFuzixfT/6kfYjTtpdV0G7v4xct8kxgiG7tpN1vPIlwy9hy1l85p1bLv7QXbfvQ0XiVEuD379UmLhgmfwHUHQiLBhcvLdyWWIozq5uS1kV8xj6Je/Q9YltOfRC/rw5q0ibtSRcYD1cyjhUL7/biZ/dx/znnsS5YyHDkKkdNAmQgqHSqgplGqUhvvJtHtMDTVwpKC1rY1yuYIONZ6nQCVVTISQ1GtVVOjg5nx0GKGQ+L6PtZawEUADVFZiIg2ewhUKmXXQWlAsusx+zWvwli6hS2WJgJzRCEJK8ZVsfN/ncXxLHCTtfUwUg7FJm6FSjLYxxoOp6WnyXoHj3vN2dv3sClp7WpjYOo7juQRxhIliwjh5/YT1AKkUQii6TlqMHZqmOjZB5xEL2fWrG3FaO3GwSUgDkCh0qMHKJAxjHaQEjKAyUcO4FqfoUdSCQBrM0DR2IsY0YkCQyWdoVOtJAMQmES7ZDHIJAVEU7w9TSJlM/djg510WrVpJQ8L0mgdZ9toz2PK96wicBlFg0ONVpFJMbd5H54xuMpkMZPLouIGsjLBv7R0MXL+R5auXMzg4QKNukLrZJgiwSiCkAjRSQsMG9MzrpVGpY6IkxFRv8znhTa9ncM3duPUYHUM+66GEZHR8AoIYRyocV9IIQ3QsqAcNbGQRjkq2n0qqOMlm+yFtDEaA40qsSbaH5zl0L5iJnN1Od0Mzum+EoVvWYCsRAolUoOM4WU4zAGOt/b19BThFn6UnHUt91iycnoWItTcwvGcPNoiQjsCYpNKOIyVGCqQjUELS1tuJLXjkezoIh8aJb7+T6Rmd9CybR+Bn6LOC7VfehaclWIs2SXAIBaZUY8ZJq5mul8lmPNAQyIAFJ65m2833YjXs27AHnTXYWoCNY/bc8SBaGlSpirDP3A8IqUNTo9Fg4wObWHPvBvbsHSAIAzzXo6e7i6NXH8FRRxxBS0vxYA8zlUqlUs8Q1lr6R8ZZu2UnG3fsoVJvYIF8xmfFvFkcvXQhC2f2POPL3aZSqVTqwKnVaty78X7WrN/A0L4RwjDE8zxm9PZwzOpVHHnESnK5J3fleyqVSqUen/9V7aR33sEbyJNgrWXH3kHW3L+ZTTt2U603EAIK2SyHL13IMSuWMacv/c6SSqWeGiLZmbyz+W/pI+7bAlwM/Ke11hyE4R04z+x96nNI2h39GoiEEGcCpwAu8CDwY2vt7/eXXt6cf9Rau/dRlre2OV319A35f7PWfudArevRpOGXP5ExyX7B6phICGQjBtfFcRzsQ0EBDCLnYEyM72aIY4NyJVJH9Cyajezw8VWOXXdvIqMVbTOyzHz7Gxn8x39j7LY9RJUaJraI2BC7Do4UEEvCqI5TUPgqg6lFhEYjQgsodEHQsqSLlhMOo2PJcrb9+Kf0zpuN0+GAnubGMYfTh64EMcnYjojBK69HTe4krBsq+8oo6SEEaNcBV+N3+ozvHmL2Xz4Pc/MackWfUBtMLUZj0QMG60mkUeSLGYytJhU7PAE2onXhDLzIMHDdPbj4tKzopHvVCpxiO25oiD1JfXqSTG8RW53EaZvFvFOz7PjFLUwMDNLS0U59fAodGZTrQENjx+tsvfQGrBORLfoIYRB5hRO6iGYghIIhqsXk3SJRECKsIA5jcq1FqtUyrV1tRJMB0WSMcmUSuPAdvLyLqcZoEdG5cAZxrUG9USKLS6RcJDGRzOBFiiPf+y62fOxibIeD6K/j5v1kWTWD1RCUI7A6aYHjSRoTdbZ84ZuMRGOoEuS7ixx+wlHsq03Rf/uDmFqIkhKhBMpxaekrMnbHZlp7Wln21lcx9Ou7aV0yC3dfnam6RQiF8iTKg8ga/IyLjS31KMStuehyjHSg2FWk75Qj2fSzW7FBiWC0ShBppFLEsSaoNVBK4nkuYRiiPBcdxqhmKMR1nf3BDGMM0nUwSlETml3rN7PwtFOI+/bhH3UC8Y//B1FzMEYn3bCQCGI2P7CbI89+DeHwLiYe2ETPnC5a8zk4YTlRXxtedZpoZJSc4xOaCGEEcaiRChzPo6Fiug9bjByvYqoNcrkcpaLkhKOPweTacJTGPeUlHBlo4sPnc9+//4B8TRMiCXSEawSxsjixACvQbrPNkJQPt3QSAoRAKgclk+CKJSkP6ElFYflsdvx2LZ0rF6BGq/Qt6kPXYe/GHcljAZrvfWuTAJgRSdsjlXOwtZAtN97OrBeeQG1qEDs6QUdrB2VnEHSMiAUGg5USX0n6Tl5FdXAf9VKN+SedQGPvAMqEVOst5FxJYe5hjNzxO0pb+nEQGGWxwjB3+WL2rt+JlTD3+JWM3ruJOS87hZ1rtpPracNv+PTftRGlBbEErMGpg7GGniPmMbppkEJbBi+fZXr3n00QOPU00lrzy1/fyMXf+DbX/eZm4jh+zHmFEBx/zFFccM5ZvO4VLyWbzRzAkaZSqVTqmWLP4DBfveynfPvHVzA0PvUH5+1sKXD2i0/lgle+iKVzZhygEaZSqVTqmSSKIn5+9S+5+Jvf4be337n/b36PRkrJc08+kXe85Vxe/bIzcF33AI70GSpqwB/YpqlDxJNsZ5JKpf63Lbv6ueRHV/L9q65jfGr6D847o7uTN7/6Jfzta1/J3Bm9B2iEzyB/pC3Sn6PHc1r/8bRGSj27CCF84H9IqoAIYBLY3fz/XGAZ8K/AK4UQL7fWBgdrrE+3Z3igcGVzug+4BTjpEfd/VghxnrX2J82f5zanjxZ8wVpbFUJMAe1CiKK1tvyUj/gxCCFywLHADJKAzqOy1n73qVzvoRJ+eegc8zOGiWzzBLdCGQtS7Q8HKNelfU471ekSR77xNLb94kZiN8dRH3oHd335X5EjlrG9kziDlrZ5neBYnJ4C4XDI9NW/oeuFR9Ny3oX0v/FMJiemcX0nqeyhAKXJ5gvoKKYRBbgChAIv45FpcZj3ly9i+mVvJYoNkYLZnzqTByZjFneGbC97nLTQsGfu2bSsvYb5f7kIufoe7v+XnVSiCK/gEWuBJ1xCG7HkuccR+Yb6r9ay/qIf0/28w4jyRTIPbqe0awIHi84Lin2tlAcnCHSMEaB8g4gFsc+/mmUAACAASURBVIbathFY3E2upZV5xyymMVVmbE8/c7tb2fntbzDntS9HNyJiOYTf3omb6SDaNsTCvz0H+/3vE45OseL5p3LvNbdhwgirYGJ4BKci8DxFYUkXU6UamaKHJiB2MuipOroc4QiParmCFAITJpVCpocn8bMe9fEaUVjHeIARmCCgtaMNTYzblac0MUWhO8NISdFx7HPRcYhjYpQQYAyhJ3BNnr4TF7L7xo0Iz8HJO1RHK1gNSgi0tTjSJUbjS43J+EyWpsi4GfAiVNFj/U13EzdirAA8hbRJCyxhDNWxMn57luILT8SZfRh9L2/Bzxe57wsXY2ODsAYTGHQIbs5HCInwLU5No6shQkniOKbmGHZv2wKAExvqcdLu56E3nLUWa0F4Ele5GA1KSaSUKF9hNNggRDXDMlJKhAfZjE9vWyduroXy2BhDn/08OSdD3dVJoESDVpq2vk6YruCUyqz/3hW4whAsnk/3G85CDV1BPlNk3Bf4scDtyeA2PEoTFZysIpfx6DxmCdXJMqJaIQpD6lYS1QOkI9gRlpl5790UX/BG1D03smv9Opx6BTnVILQuxjUIBbEAJTROJkMYxIAGJAiDVAACgcKKpHKTlRZhBDgGaSWxMQzfsoFGpUYwNoU7r53d67cjhYtyHHQc7z+YaiVoyXrUHI0qaRCGKIrIFbI4PS1Ud+9hctNe5r3yZPbceA+qNY8YrRKIAGUVUkm0smQiDctmYUen2Xf9Xcx8wbGITBY/o8h2zqcSlhh/cDv1SoSnFLGBlq42BjfuTp5r6zJ060ZMxqG2e5iZZ5yMDRrooQnK9XpSoSm2WCWxRlAo5qgPThDHIdUpTXWkjOMpUqkn44qrruF9F36cXXv699/W2dHBMUeuYtniRWR8nzCK2N2/lzX3bqB/YIC77lnLXfes5f2f+AwXvucdvPtvzv1fLcVSqVQq9edreHSM9376S/zk2hv2n5h0lGLl/NkcuWQ+HS0FAKYrNTZs382GHXsYL1X4yuXX8pXLr+UlJxzJV95zHgtm9BzMXyOVSqVShwhrLd++9Edc+OnPMzT88MWTfc0qL4vmz8P3PYIgZPuu3axZv4HhfSPcdOvt3HTr7czo6+VTH/kA55191jP9D+xPrzT4kkql/ozs3DvEuz7zr1x7y537b/Ncl1VLF7Jq2WLaisl3lvGpae59cBv3b9/J0Og4n/3a9/n8Ny7lzBc/n4s++Hf0dXUerF8hlUo9c30EeCFwH/AP1tpf/f6dQoi/AL4AnNac9+MHfIQHijyon809IcT9j3aHtXblo93+CO3N6V8DAfBW4BdAAXgX8D7g+0KIzdbaDc3bAWp/YJlVoK057wEJvwghPgm8F/hDCWtBkhF5VoZfTmtOtx/UUTwBbibZdEYYBAqt9cMn56RlanAS4cG26+8h3zeDuc8/gZqbYemJhzPR2kXl6juJJ2pM7B1j9qtPYuKm+8meOodMLkvXySez+8PvwCtk8KdqGJNUkcAARhCUAowAYUB4As9x6Dl+Pn2nHY04+Rxkw9LhCXbX8ujyNCujYcpBJ8sb27jfP4bBySovm9tLee8ehr9+JbJFoiYswnOIbYiHQ0Z7lDZtZ3R0Ai9fZP5Ri/CNohGX2Ty8D18rZItDe3s72fZ25h5zNPf+7Fo62jqpTtWwbsTCJQvYvn47aqBC6/wOyllJT+8csuU6ay++Aum4BFf+kuWvew1j/VugcCQZv0ilpZf6uluo7xmhPh2y5upbaMnkqAUmqaaiLdJXRBqCnSPkOnMMb96HUZDNOESBQRmFV3QhTqr0GG2JwwDP99Fa43oOUnl4QhDHIUJKKpUqKEFeSpTnkzvuFPr8HBP/8wOy8xZTOGw1IqgS1Gq42TzSyTPugOjzybW14IeGaDoksiGx1vi+RxRqhJbUKxEqjDFI8jkHYVzCvVWyM/NUBkq4CoI4Rjge0hp0FOP5PpnWLD3LjqC+ZzPlHf3su20duqYBgfAUUS1AKIEJIoRwsM1qJrHRCBmRL+TwtCKWiqwnaMQGJxboWCNlUqEEY3G8ZLvoqBkGURIpJFEU4fs+SmWJGgHSVRAZ4pwg0FDKaPL1CcYe2IPM5ujp62Fy086k7Q4gjGV6YJwWr4j0XEQjRgtFsaed7f/0RRxhaFlxJNHwBMJK6kMlcu15fMfFepaGMphGzLw3nw8Tw1Snx6l8+ycEkw38liyTv1lH19kvYdMX/pGizKOkQ7B9O47KYGKTVDGKINfmUy7FZHIOMo6xSJRMwkGu56G1RiqBynnU63VWvupUtl57Fy4Ocagh0GgvpmX5bPTeEv7imXQsmM3k5sEkuSceahMlEB6EM4v4YxWMa9EFj8UvOJ6pTdsRtRiVz1M4fjnR8ARRbOjpbadt3nw23LamGUSySAP9D2yn94hF5CoRncetoCF99jy4GTXZYNZzYkZu3UBYDhBS4eZ95q5eyMSufRjHILUitjH5tiLZriLjD+xg+RteTmO6zPZ7NiHrFusIiC1d87uYHJ6iWi6jsi7ZYpbKeAXpK/Id+QO+b009O4yNj/OuD1zIZT/7OQDtbW2cd/brOf+v38SyJYsf8w/Dg0PDfOeHP+aSb36bPQODvP8Tn+FnV/+Kb1z0OZYuWnAgf4VUKpVKHUKstVx21a941yf/hYnmVZOnnXQcbz/jFM444UiyvveojwujmBvW3sclV17PNXeu49q77uXIt3yAz19wNn/7itORMm3xmEqlUn+u9g4M8rfv/QDX/vpGAHp7ujn/nLN5y5vOYsG8uY/5uF17+vnG937I1773A4aG9/HWd7+fy39xNf990ReYPWvmgRp+KpVKpQ4xxhi++pNf8MEvXUK1XkcIwUufeyIXvO7VvPCkY/Aeo1JYvRFw7a138V+XXcGNd63lx7+8kV/fcQ9f+ch7OOslp6fhylQq9US8CZgCXmCtHX/kndbaXwkh1gBbgHN4Nodfntn7zoeuBHaAd1prv9n8eQx4vxBiLnAm8AGS53x/rYM/sMwDukGEEB8A/hGIgatIXnOVA7Z+a9PiV3+Km445yTquRJukUoSJm9tRJuEDKSVWaYrdrVTqhllzi8w/72w2ffEbtB7dRWd3L66TYWDHAAO33U/NehSU5OiLP8Fk52EMlQX6Q28gmHIRYQ0bGqI4uVJCOM3QAiCNxVqBP6fAkgteT8vsuWwqHktLPsfuqSotve0smLoP/+ffYePP76PnecvoPecDxG2dsO6n1DbdQ+exz0G0z4DRKbZ+9VvETozX0UJjaJx8TxfD2waZ2ddJtVYmzPiY4QpGQL41g+3tYPFJRzLwyzvYs2OQjpY85ckqhfYiWsYI4dIYnMLtKGBijbSANgRWU8z72IZl4Ttegdfdh8bDKxQR9TpheRTZ1cOm//wG9f4ppLYE1RDb3M7SawYNhCC7tJ1o1zRdPZ3MOPkwxobHGL1nB416gLASHUUYnZSmtdbu335CWowGx5VYkuopUSMgW8gTBAGHn/ciNn3vOpa99FhUTxtuawfMWoinurAqIKqWmLz7VkZu3kA4XkNlHIJGBFHzNSEVUb2RVOZRDrG0KFfi+Q5hs+1HppDB1A06DtHaYkKLxuBnPVpbcrQ8bxUjt2+gMVlPqv9EGiFkswpLjNXJa0JlXBxXEtai/a9RL+cSRhGe51Fc1IOjFNWJEnYyoiqqOA2HqBbgeA5O1iWOYySKGYtnM2aqtGhFaXwaL+NSGplGBxqlHMDiKEXrvE7a5/TRsWgu6356PUKbJOxjm22khEjeDyhsBoodRRqVMsVCK7Go09hXoew4POf8N1Arj/DAz29GaiAAKSEOYpa970y8327FP/fNNKIGO/7ls8SlgLgWUugqYK1Fd+YRwyXaOjvoL48gxwJMJJCW/S2IpCdRRjLnhUcw+JsNmNjidxSwHgSVAKFj3LZ8UrGmpjnsrBczvO4BRtbvxGgNgOMlIROATE8bYzv24hoXo3XyfnQU0kLsK1ae9RIC38UbGCZ/xBGYXIHonjvZctM9CGOQVuDkfBomxqk10FZiwmYVHmlxPUWhtciM047GCg9/5XFMrbudcNN2xgaHUZGhUQ2wJnkPLDntSNT8mejRCfrv2YgoG+rVKsKCV/Rxch5+MU+5UaF17iymHxhANgI65vdRGplibGyMbDZL28JZFAo5xtf1E4gQp+iz8ps/f0Z/SnhGqUxY4uiPz3eI27p9By/6y9exu38vSik++J6/48L3v4dc7vGXUI6r03zj0p/wD5/8LOVKlXwux5Xf+SqnnfLICn8Hj8gU/vhMqaeMbTzFn42f6uU9UlDHBvWndx1PA9HSAY4PzhMv3/+43xNtvelx5UCaGHxGfdmzE0P/5zZjDO//7EX827d/CMBRK5bx9c98lKNWLsfs3fq4l72lf4i3ffG/uWXDgwC88YXP4RsfvADXecT1ILsf/zKftN07D8hq9M6HK7CpBXMe9fbHo7794aoI2UWPvxz77z/u6fJExnOg/f42/6PmHYSw77wlT/ghcvbje4zoOACtxjpmpseVA6k2fWgfV4I/dLHjw9au38BfnPlGxsYn8H2fT3747/l/F5yP5z16mPLRhGHIv17yNT722S8SBAFdnR386vJLOXr1qj919IeGp6P1zeN8XlIHWdr26GG51vTYcgDZwS2PfWz5vf2HrZYOxHD+JFEU85aPfo5Lr74egFOPXsVXP/EPLFvw2GHKR7Nu0xbO//gXWLcp+U7y7jedyZf+4Z1JJfZ8y1M+7ifsSe4nxGM9Pm1r9MSFf/xvTjY9/h4yxMylB+S4IoSoA1dZa1/7R+a7HHiZtfZZ9+YTQjQ8IfyxFx19UNbfdf1aQmsDa23mT12GEOJjwD+RlMTIPbI9lRDiJcA1wIC1drYQ4pXAlcA6a+2j/uJCiEmSyi8tB6LtkRBiKzATONVau/bpXt8jpZe6/YlURmKaQRcAXAuu3R9K0SQnxKvlGsSWff3jbPvmj9CdDpnjn8Ou323j3ru2MHDHDnCz5AsOLS86DBoRNe2yrF3hz5/JjFevYvX5L0W2uni+JFP0EdIiFChHgCfBk0QjVaJajBTdTAWG3+wYZnFnO4v61yLzC5GlCOPWGLt5A3e+7TymPv1O9v36ZvJLljM5/wWMfO+r3PbJf6F9dg89s2cjhCKoNpBFF6+3nbkXnEvGybD6lONwTUzfgj5y3a2UB4e5/9JrKJerFHIerd2dCCEIGxGOcQj2VbCuIihXiYOQOI4JdQxSMPPVp9B+6mLcfBZTKRFODmMadXS1zPTOnYBhxhkn43dmiMM4CXvsDwd4+9tMmZEaNqMYG5kkmqix776tuIuTcWit9wcxjDFYa4mDGGMMOk4eH0fJ/XE9REhLcU47bYs6GNo9zrHvfB0tp7wYZ+XROAtWI8sNqO1DBJqo3qC3fQbBdI1YaJyMi1/w0NIiHYmXdSjOaEVjiIzGd1yUSVrMZLIexhhq5UoSnlAOynHIFfMIBQiDac+SXTiXviXzkUbjWgEkYQ6tNVYbhJIo10EhCMoBQoj9IR9rBMbGmAxUBkaYecxK5px2NKLbo7vQQVhtYAUIVxAFMZ7vYJRmcnCUtpk9TE2WwBd0r1qI9BSO4xDHMVprImuY3DXGtts3suaH1+DGyfqkEFg0TvMkgnwofFKNCUo1hCMQbQ7dLzqdvgv+ilmz+9j929vY9ePbsVOaRrmOsBo0SFcyetcmdpaHqJcGyDQmKPePEEUaYpjeN021XKf04BBT5Qp1qVk4az4iUqANWpuHn3NtmbV6IZOTkyx/7rFEBYe+xX0sf/NfsfqclxI5kFs1n9mnH0/Dhuxcu4GWFf/7y4nREFcComqdtgUzaC22YKVAKoVynKS9kgtHvvN8MvMWU123nsJhK3jg0suYmtzNjtvvxVQbxFVNvRFSm6wiGjFksuhHlAC21tJoNNh7891kO9rY+t2vUdk5iAhiOnt7qNdCrAasxUpBpVJBVCN2r9uEoyWVWpU4MmhtCcsRtcEy4XgdE1jKa3dRm5gmtobRrYNMD5fwQpcotFhhGLj9ASJXE+mYYOKABTFTzxLbd+7iuS97Nbv797J44QLuvP5qPv3RDz+h4AuAUoq/PecsNv7mWp530vFUazVe9qa38pvb7niaRp5KpVKpQ5G1lnf/87/sD7587F3nc+fl3+Golcuf8LKWzpnBDRd9lIv+7lwcpbj017dxzqf+A63TVgypVCr152Tdho2c9qrXMTY+wZFHrGTdTdfxgXe/8wkFXwA8z+MD734n9958HUetOpyx8QlOe9XrWLdh49M08lQqlUodirTWvOlD/8ylV1+P4ygu+uC7uPFb//aEgy8ARx22lDt+cAkff8d5AHzl+5fz7s/8G+kF7KlU6nEaAB7Ph1oXGHyax3JwCXFw/j01djWnw48Mvjzi/od6eu9pTmc/+qYQeZLgy9SBCL40zQFuPhjBFzhE2h4JIdqAXpJeU1mgTlL+ZthaO30wx/ZYsr5PqAOMTsIGsSPwjcC6hpbWVqanpgABscYvgIklSrkc/roXctMXvsqyo44iMhHGEbSumMGSf/4YJTmfSgz37phiUavD0Lmf5eSxO9j5/R/g+z6izUXhE48asp5PY6qGURYUCE/i79pO/S/ewMR9Y1jbzqVrt3D+EX3kAlBv/ghLj7mB/isuY8HsmexzHZa+9m1YrZA//2/CySTI079mMzYnEVmXFW98Kf39/Sx/+UsoXXc9tXrI5t/+jp5TVtGzdB5rfnAtphLhLe5hetcwuazHnu39CGNRjqBRD9HCUOhupTpewvE9QqvJ97URjU2T6eqAMMSU67hdvdTK+3AcYPYCenq6YWAnub37EJUIgyGbzSZhDg0Wg5AS5UhsAH5O0fWGUxm66V7mv+HF2NjA3FnYoSkevHszOtZgwBUSIcEKgXIExlqETQJM2sS09nVQaMuzb7DEEbNmcN+dG5l9jESFZeJlK5m653Z6Zy+ktnUXU/v62bVjEuE6eK4kDENMqJPKLmGM27CEDeju7WJicgxrLVEUYcMQUZF4notpdrNCJ8GDelxDxKCVJR4tEW/awdCarVibvM6UskTGgNZJIzRtiGNNLAVOxk3CLxaMSD54Fwo5soUCS877K9Z94wf0zJxFfWCaWmiRTlI5SwfJH/yDcohSipAAOTRFflE3s5fPY3KiTKaQoR7VkFoipcBVDnGssVYQ1GK0MNhmDz2pQJsIx3WSkI4FiySsRtiqpjE2zPimq7HGoHyHBYctZSJqgIKsl4VY07lkBlMj4/SdfCqTEwOE11/P0AO78Nuy6KrGKIuNBbqmkVYgHcnUlgEmjSImRopknMYYhKOQ2tK/czvZbJ77Sv2Yumb7hq0QBKxYvRzXy2KrDZz5bRx7zivY/JMbmJys76/6opoVwbqXzmff8ACBY4jyDk4kEQEIHWJdl8hotv78R7TO6GN60x6i+tWs/OvXs+aSb2MnQyQSASgjEdISN2LiRlIFyAqzv/CYQBE2QpadegxRLksm4+ESUq83qE6VEBpMM/zlSMnwvTsobRti2VkvYsvFP0WhMMLiCUH7Scuwu0epV+vEoxVCDQpJvrMNPEWwfR8y50ElZPT+PXitProWIFX6pSr1xFQqVc448w0M7xvh8MOW8+uf/4Tenu4ntcy5s2fyyx9+i9e/7d384lc38KpzL2Dt9VeyeMH8p2TMqVQqlTq0XfStH3Dx93+CEIJvfu7jnPualz+p5UkpeddfncHCmT2c+bEvc/nNdzG374d84YKzn6IRp1KpVOpQNjI6xhmvPZvpUolTTjyeqy/7Hi0txSe1zOVLl3DTL37Ky846h1vvvJszXns2G2+9kZ7urqdo1KlUKpU6lH3k3/6by6+7CddxuPxf/5mXP+/kJ7U813X42NvfzLyZfbz1o5/jv370cxbOmcn733H+UzTiVCr1LPYDkrY486y1ux9tBiHEPOB04KIDOrIDSYCQB6mIm+APNx96fNY1p+1CCGH/bwKyszl96Or1zUAAdAshZltr9z5i/oeqwWx40iN7/IYP4Lr+j4NS+UUI0SOEeLsQ4hohxCAwAWwCfgf8tjndBEwKIQaFEFcLIS4QQjy5s2hPoVXnvYJ8TxstswrkujyWHLeUTDGHchzK5TLKc1GOA1YQhGUcV9L3wb8hnJwiG7ay47YHKd29nVBr4qxHODVB3JjEWIXKG2blAEfRP7yHsAJ4DrIkKXYVWHriCoQPJivBF0gBhbZWgqlpKp/5MK/oGuPc3j0877ILcaOInVt+Szy+EbvkSGa+9OXkuroReybZddFnCHqXYFYuZfaJK2lrLzB71WIKi2dRnN/N1N5h2LCdTV//LgMDAzg9Gaanp5HlBuu/eRXBVIAjFaX7h4jzHtXJEC8QKCWJ6hFBWMXtyWAig/RdrDDMOHoO2QU9LHvDXzB+011U9+0jFpZoeC9eVyuRUNj6NPV9+7BBg/4N2wkqIcQiCY6YJNAgVRLc8PI+8996Gqv+/m1kdoxgihmcbUOM3Hs/1clpBqISjg9+1sMIg/Wa20wmFViUlUk7m5yPkJLpgWn2rN9GXAlYc8W1MDxM474N7LjhVnZ+//tU7t3Gxl9cTa1FUhmvYn2Lk5GEscFaQaw1OrZ4noe1kMn4TE+WyJAlqAdYCyY26CgmtoY4CNE2xi86IARt3e0IRxFVQnQlZs+ta4llnFSncRSR0UidVBjK5DJJ2KXZ/knKJFARGYNyBXNOX8XhrziFjtWLoDxJuygwsG4bNny4QtH+KjLWYszDlXDCagOvr4v+395HefNegokaQgscRyWPERqNQcpk2/qFTFIFSRuEFmAlUaihGSxCSWxoEFY29/sSP5PB8Vy2P/AABih05vEcF6skYaXG/Bceh1svM7puPXvv30a5UsXJFchkPYjs/n6nQgjQoDIefmsGJd3k+ZUC0Qz4GE8htaQ+VsYicRCYUGLv38226+5g3htfTtecHlS9yoNX/IZqtU5cj/cnNY0raOkuEmQNCxYvYOx324gnasx87uHIVpfsqtkopfCKeexEjfrmfrz2PJ5w2fif30WULIQGGxmM1kk7JiNwXffhFmbNdmkAkQ7xMh6bbl3Dtq//EGtiwukK1XqVqJpU+FFWIbTEBBobxcjZbfTfcAcm56PjGCElOiPpmNnJVFCjtK+Czajkd9eglswgasknr6Wij8hKVAPa5neTm9eDk82x5IzjDsDeNPVs8aF/+hTbduxkzqxZXH/Fj5908OUhvu9z2SVf4dQTjqNSrfLW934YY9Kr9FOpVOrZbtO2nVz4pYsBuOjC9z/p4Mvve9lJR/Pdj7wzWfaPr+a2jZufsmWnUqlU6tBkreUdf/9hRkbHWLl8GVdd9t0nHXx5SEtLkasu+y6HH7ackdEx3vH3H06v0k+lUqk/A7et28iXvv0jAL7z2QufdPDl9537qjO46IN/B8A/fuXrbNq24ylbdiqVetb6FHAD8FshxFuaFT+ApPqHEOItwM3NeT55kMZ4YDyDK79YazcCO0mKhZzwKLM8vzld25y/DtzYvO3MR5n/oduuekoG+PhcBhwvhGg/gOvcTxzIL2PNN9rHgHcBj9bv6vcH82ivkjrw78A/NZ/Mg8b2r7XliSlaZB3cIps+/WUCUYNRCIQGDH2nrmT4ti2UAo1LxLLTD+eW79xKZ4tHNp/DarACOmZ2EGVD5n/5CupY+lSJzZ97OwPnXsxpop/K9d8mevN/0K4nuPdN52KqU4iWAgueezh7tu8m3luhNjkJJk+hRdDS20FtagqpBJlCnulSGV85EIC2MWEMmbyL31rEEmPyEls3NKIQW63hO3kcz6Uwq5OxbTuRJUudCNnlYbUkXyjiux5O3mckjnG3jxASY9Asevlz2HvznXiVLLJFUR0OKM7L05gqA4LeU45k1/W3s/T1L6V96TJG7/4denSUzsULsLNmobtmYmpl/L6FOEPbueuSb5CbBEwIvk9lrEQcGXpXzEAhmHX60WTmLeLBL36XttXzmXRD1H2DOMcvw906QNvhi9jxu3VUtoa0z89Rc2LmLlzE1uvXw/9n777j7Lrqu99/1trt1OlVM9Kod8my5W6MbTDGYHoNSSghJCFPgLQbSHIfnuRJuIQkhCQ3lwCmJIHQMSWAAVu4YblKsnqXZiTNaDT9nDltt7XW/WOPbfLEYBtLI0T2+/Xar5HO7L1+e4r20Tnne34/RxCFAltG2MUcGSNpNBrkLIe173oZB794J+3XrsPryDDylUch75BVUJ8O0DLm4re9kjpw6q6HqJwcx84loYwgCLC0hYkMcSbGy7sEEwFGa9xsBq0Vvu+TKxaJdYzneUihiDEgBUJporIiqAfYng0yCXoIKwlHKKWQjkW+mMOvNIhj9cTvpZQCISRYgpUXLWf/3sN4noNUAoWikC1QmphBx8moJyNAGObWfjJEEwuDJTWW5RDFMUQGn4i8m0NHc51KHh/xpRSWZWF0jNICnTE0WR5+JJEdElUOMJHGRE+eo5YaKWyEVDQv76N7zUKi0RKzU+PUpwMasz6WsGlf1k2j0WD55rXsueMBdGDQc1+uNCRjh0SW9hWdDNzyPM6cPsH0PXsITs+ghUQLQGgwyfdO2oJAKvKxRZWYjDbEDqy98WqO3rcNHRs0BksZ8q1FyuUKjjHYfZ20S5fS8Dg9V6/j+K4DuDkPEUUI22HRlevY/50HKbYUCSq1JFxiC5x8hmxLnqnBcWQoMJZBWhZGGrKWpH1xLyMnR5BC4BqH2DZ0XbaCsUcOYxoxVtZBGInMWjS3NlHzGwRjdZRl8LIOVsajMloCoLm9iMpY1Ednnxj1VWzKUrhiBUPfexRLO2hinIyDIx1kVrBg7VJOHB5k0eb1nHxwB0bbSDSe5VGpzYJjcdlX7kznHM+X6rQhjs73WfxM7rl/Kze8/LUA3PmNr3Dj9c9/TusZ/7+OLPOukwAAIABJREFU3Bo8eYqNN9xCrV7nH/7y/bznHW99TjWeK5EpnNf6/9081e/Ec3K21/tFYntgO8/6sGf8b6KlO71fmU/Tpy+oV97M9CiQ/P/yeW/8dR7etZebn3813/3UPz4RfP5xevjIc6r39g99jM/+4D5W9Pew41N/TdZz4cRzW/NZOTE4L2XU4Kkn/mwtWfiUtz8TjWNjT/w5u6z7ZzruXHk25zPffvx7/rQGlpy7E/mJNVc860Nk/zM7RrT1Puu1n7W2Ben9ynyql3++71eC+k/81Fe+8R+88dffiW3bPLLlu1y8ccNZL//Y7j1cfuMtxHHMlz/9cd7w6lec9RrnnPfsRtY+Iz/l55L6OXIufvYXqlxzet8yj8zpwz/5vuXHrh+mNjsfp/OMNfyAi1/3do6cGOYtr7iZf/l//uSs1zDGcMtvv5cfbH2EKzZt4P6v/gvW3JuCz4vneJ0QP+l4N/uc1v1vKXz6l0dNev/7c0MsWHlO7leEEE+VihPAj89dm5n7+OMhhJOANsYsOxfndT4JIXxXCm/qpZefl/rttz9CqE1gjHmqDMQzJoT4LeDjJM1CXmqMmZy7fTOwhWSM0euNMV+bu/1G4E5gCrjKGHNk7vargLtJOsMsMcZMP5fzehbnnwHuABTwDmPMsfmo+7h56/wihOgiSZT9EUnwxfwfWwUYA07Nfaw8xT5Z4L0kqbUuzqOT//Bh7FN7mXpwK+x/hFxvF2EpJhaSpsVtxCKiY0Er0g0o5iyae9sY23qExUta6e5po9jdhJv36OwoMlurYgWS6Vghf3Qrw7/9Vlb98nuY9YF8C7Ov/ltOVwNmGiGGkObeFlCaI3fuoL5/jEhC90An+VaXYm+RyYkx3O4WFl65gZZlPRQXdmB15MluWoQvNEIqjLAonZ5g6sg4pb3jzBwcwz9dIyhr6uUawVSdwW2Hkb5g3e+9FtpzROMxHS+4lHhqltPHhikdP4M9NE19tkFQ1oiqor71EEs3r6ftjVeR72jFWegRTDVY+7qbWP3K5zG6Zy+t2WaOH9hP4/Bxzjy2n7GjIxz+1v0c+fJ/YCaG0DNnCPbex+6/uhV9qkGpVqVcD6iNV9AKhAXV0zP033QJJ+7cwfEtW8iu7yGanmHlxReT39BHc9ah9aIVuJdcw0WveBkr/+JNLP2dt7LqV1/H8CP7kRLsZpd8hwAvw+prN6JdQ64tjx9H1I+cpv8dv0RU98F3cAsZ4sk6NaMIioa6Cdnzye9S2ztIOFJGKwhq9SQIoiVKxWjHII1E1TWYpNtKHEaoKOn8oaSiq6sDFfgoRyIsaO/pwM449K/uR8ikEwtaoJVKRhwFISqKifyQRj2pp4UhVBH2411OtELEhv2PHCCXc4lmAqJ6iF8JKE+WeDzvZowBnXR+ST5qQBAEITqIyGTz+I0QVzj0bFhENu8Si4hsa47Y6CTwIgXSSV4gs7MemXyWtmyBpsUdLH/5RSxYsZC1r38h3X092F7S5UQIgcCa++hQmSnhtzbhvuIa8r29xA0FWqB0xMyJcfypCoMP7sGyLKQtMCgczyayQDVLlr94FcaJqE1P09q/GKcly7o3vgAHg7QAIxFCkCt6xELhehZOWwbPlbhdTQxsXsPBex4mrEXEfoSlBMJxqc1UkNoQNdnkFhYJB1qJ2jymTg2TCxQyVOiGQsQxgSVZfO16gkoNExtQPNGlaPrkOBnXTb5X8slLbn7VQjpefCXLbrmGjoU95FZ3MbB5DS0dndhCYtuSOFTEQYxfbjB+8gyNqSqNKETXQirjNWYHp1F+jIo0lZkGtdEZYqHQOukwUxcx3myApW3AJCGoKMLOSNymPIO7jtLiejQt7WPp8y/FKzp0Le+nUW2QzWbxfoYXP1P/Pf35hz4MwG++9c3POfjykyxZtJC/+V/vA+CD//jPBMFTjbtMpVKp1C+C79/3IA/v2ksxn+cTH/jTpwy+nA0feddbWNDRypHhM3xxy9ZzUiOVSqVS558xhj+be8zyJ7/3rnMSfAG4eOMG/vT33w3An33ow2n3l1QqlfoF9oXbt3DkxDC9ne185L3vOic1hBDc+ud/RFMhz8M79/D9ex84J3VSqdQFa/FTbAMkAZjHt7a57cdvGwDOwzsv5o+Ym5gx39tZ9Engq8BlwCEhxLeFEHcDD5AEXz75ePAFwBizBfhHkpFIO4UQ3xRC3E4ybccB3j5fwZc5t5NkUJ4PHBRCHBFC3C2EuOspth+e7eLz1vlFCHEXcN3cXw1JC56vk/ygjhljak9xTAFYBlwNvAZ4weOfAu41xtxwrs/7J5k4tNW09q4nsLNQGiE7fJyDH/ogK/7+rzj6/v9NEBqaV3SRX7oY95f/F8N/+Zu0RDETgxMINKGI6ejpIixV8Gshy6/YyFCtxLp3/wkTX/hrTj9wjMU3Xce+G97Npe023uRxDvzZn5Jf2sX4ruPYlofTlqd6fBLLkVz6a6+HjiaiQ0fZ8fV7kZ7E0hLLNuhY0bK4k44VA4StRQa/9kNi38LOCLQR6EaEk/MI4wAikI5NGDVYMNDDzFgFxzI0bRhg/NAgqq5RswG2baONSUIdnpUcZzQKgWsrZKHI6tc+nyPf3Eo4U0UacFrytG1eRHVshu6uDib3jZK/qItcoQnpOhSLzez6wb3UhmaxMgJV1xR7mxFG4oc1FizpY+bkJGE9JFABPcsXkc25DB86TqQs1r/zZeQWrGLm/i3YLS0MfXUri199KROHRyjvPoFRUOxpYma0ysprVqPrASojKQ2XcNsylI+O4eU8quMVbCD2bGxpEcgG+SBLJGKMFEknFtuhuDiPf7pMPKtwm3ME9QDXcWhU/KS7lQ02DpGO0X70n8b0SMvCbnIwkabQUiRoNPDrDeyMhw4VcT3GKIjjGCkllhDEJp4bbZSEOdyCSxxplFJkml3aF3Rx+uAIQoMW5vGGJ+Sas/i+j2g8ud7jY+eEECAFRunkdiGSzieWJNdRQFgGr5BLwjEOxNUA4Upy0qNRryOkpFGuE0dgZy1EDH2vvIrWzZcTDx3Ba+tj6ydupcvOU5+uoQKFFmCIEDgIaSj0t9Lzyy9n9rY7KQFerY6qxzQqdUKtWLhpObYlGD90MmmKEURYORcTafqvW0Pcv5LO5UvY+cV/45JbXsOBr9xGS2uR0W2DOB15XFtCDOXpMtKzcIseMoyo1wPsnEemAdq2qdd8pAW244AjWHj1alQUI5wMrZsuxm7rYOx7t1M+cZqZ8SmyrkvHQC9tV19CpqePem2GQ//05STHGCuyLU2s+JUXcuhT3yHU5olxR0JKtNC4bTky7XmqxycQtsXKN91Mddt+olKdM8Nj2AhinhxRZedd3IyLrocUOzqYGR1HNyIio8nkM8QqRDouQse4Xga/2iCMNY5jIYzBaytQzOcJIp8wjAmma8k4NQ+WXHcFsSORpSqHbt9OptXBEhZ2R5HV/++X0ne7zJfq9AX5zOi+AwdZf/k1WJbF0L7H6O/re+6L/oQOOHEcM7DxUk6PnuELn/wYb3rdq597rZ9VGg57bp5ll6O088s8Sju//GK5QDu/vOwdv8vt927lD379V/nwH//eT9z/uXZ+Afi7L3+H933881y8YjGPfOKDiJNHn/Oaz1ja+eWsSTu/PAdp55fUs3GBdn65+0dbecErX0+hkGdk746zNu7oqczOVuhbfwnVao27vvVVbrj2mnNW65xIO7/895V2fnlS2vllXl2InV+MMVz2xt/gsQNH+Js//G3+8G2/dE7r/dGH/5mP/NuXeen1z+M7n/mnc1rrp0o7v/z8SDu/XFDOVeeX1H/1eOeX6VdcdV7qt/3Hg2el8wuAEEIC7wTeAawieVl3F/BxY8znfsIxbwPeBawBIuAh4APGmPuf6/k8G0II/Sx2N8aYs9rWbF46vwgh3kASfBHAcZKWOzcZYz5ujNn9VMEXAGNM1RizyxjzMWPMi4CrSOZcGeC6uXXPi+KZUWa++Q/k93+bI3//PiqZFtb+9q8wG4EoZum7ei3W79/KjqvfyR0HRljx3g/S/6d/xbq3vxZEwCV/87cEk3X88RpxUw75wusoLOpk8FN/R7D5VbT191N87btYUnQJtn0DvfMuyHiMbRtC1zVOk0P52BmMBozkwU99hV2f+AL7d+3BkYCvkRZYGZf2dYsZOTLGyOAgdk8v2QUdFPryxJ5B+RFu0cMtWFha0tzRiuNZWNLhzPAE0oJaEDK+8yhhIcuCV13JlW9+cdL1Q5GEYGZjVKBQocLCoCIbv1Th0Ffvpj47Q9gKsdH4lTojW/bRODrF4R/uZnZyhlM/3I3rZjjzyAG2f/y7REPVZO1AYRcEjoCoHtCzoJd6tUZAneXXXUT/oj5mTk4wMXwG0yRYfcMlmFrMqS3fo9KIGH1gF460OfjFrUw8OoQKNLbjUB4tgxtzfPt+Zv063sUr6f/VmxDCsP6v301YD8AYAqWwYoMQ0NHbgS9ihCPwijbYDqYWUj9SISgptLTwKwFhLcREYFkWwpU40sLJuFgkiT+teGKL45hwNkRg0fBrCMvCkh7EhkwhPxeQIRnVA8SRxkQiGRVkSYQnkK6FzCb7hNWQ0cPDSCnRSCwtEAY82yGuBbjCQ0UaYSX/5LXWSCEwxhCgiR0Xy7KwpGDl9RsRWUkYKeIwxs54UBAUi0U6BnqxlaLvf/wGQkpC2yaTy6FkiKNisKBj4RKOffU7eF29mJlxNl91BZWJWfwgIMlLGYSycDwby7Ypnxoj17mU9pe/kEy5RtSSJar6aK3xkJzZN8j4wWG0kCANnTeupX9tHzqrOTM4Qvemy6GQpf+Gq9n3r5/FBuxIoG0I/Tp+qYbd5tG2pAtLSHQ5wuCw8d1vxBGSUBqU72NlbHLNWaJWm/ZlPbSuXkH782/CvWQzlcG9lEaGGDl1Ch3FSOESBxFBpYFvO0QmYvDz38ZGzI2lsqnVaoze8TChpenfvAwtk5l/BoUxhnC6zuyRCYwWWJZk/I6HKa5bQqlUxvM8YgxCCyxbsP6XXsiy6zbR1NEGrsVUeRw7n4R0MvkMQhqELVn50ssZuGQNxYUd5JqKeI6FiWL61i+jfdVCTh8ZZnpkmrauTpSVBKou+tDfYlVmqZ48zakdB7AK0Lt8EVZ3kbiWdtZIPb1PfOZfAXjFS28+O8GXn8K2bX7rbW8G4GOf+bdzWiuVSqVS58fQ8Gm+d1/yjsZ3vum157ze226+Ds9xeOzIEI8enNcurKlUKpWaJx//l88C8OY3vO6cBl8AmpqKvPkNrwPgY5/57DmtlUqlUqnzY9u+gzx24Aie6/K2V73knNf7rTckY/S+d+9WhoZPn/N6qVQqdaET8vxsZ5MxRhtj/tkYc4kxJm+MKRhjrvlJwZe5Y/7VGHPp3P4txpib5zv4MmfJs9iWnu3i8zX26FfmPjaAFxtjHv1ZFjHGPAK8aG6dH1933mWqo0T7jnDwY59HHC0x+bV/Qi1bzqnf+SO6FvRRDWocnZxkJgjpaM4zbWdh4hDuijWs/ruPUfr6p1n8vnew8U9+g0v/4v3kpsZY+LI/ZNGNL6Zz9QasP/8X9tUdmrMhjW1b2fb57+LP1LGUQUfgn6hjxcmPLw5jUAZfa/RwmeyyNtZ87qMUb1iLpSUj2wbJSYk/XuXwR76GrjWojMwgQoF0k2BGteRjLENpbApPeliOJJ/L4WUyuI6DnbVpLsPkN3fy8Oe2EAYxCE0c6aR7iNIYLVChIgxjVNVQnaijajbOsElur4SYhqY+USVqGBqVgMaMZvsn7mB412l8FSA8B6UipGVx6etuRDgSP6jh1xuIUGIch4MP72R8dAoTK4gs+havIJvxGPv+Vppyecbv3QMTdZqWtrNk5TIsIYklmFqADg2mpvHyOUp7TjOzZRszj+0nbM0jGhZax8isRaaYI/Qj/HKDyb2ThI0QoQR6NsLNO2it8es+KEMmk0FHCsdx0FKBA7btoozErzUAgeXaT4y8EXOhFmEg8kP8qYig7KOUIo404WwDbSUjc4QQqDgZ32N5SdcZy5NY0iGXz+BYGaQFjnARSqK1JuvZOAWXZRetQGUhW8gmQZK8++TYHSFAQrYpT4ulyTUZQhMjix6H792OZSRSSpqWdbHoLW9n2Quvo/emFxBNVVnxtl8mzpXxMhaFngLWimbWv+3lKCEIHcPOf/8SizYtRVl5dn/7Do7dvY0lV6zGci2WXbkaN+8lX5cfI2yB8Dycyiijn/0mfqxYvXEDWmuc2IBtYWERmQgcaLloIb0bNyCv3ERm0SIGLt1E4PgY7RIdO4FyHcLpWUaGTtJz2TJynodwJaWpWcJGgLQFstlBGDh+251kulvwHBu6sxS7iizevIZVl19MbXSaoW//iNnSME5XD3a+mfJ/3MWixYtp7ulEagVGElQbeG1NzOzcTqPu46OemLsqDUydmMC7ZBnNK1aC/eT14/EuQFJKMnkXp6VA6/I+TnzvQSI/II5jAJRtELbFxKMHObrlUSaPDNOohMhZRVSqgZSIzgyx0bT0dHJi1yGcpX2Ujp6m3qigPBtpJMM7jqCDCC+TwXIkZVXFbc6i6orTf/Y/2XvnYUoPHiOaDchmc5w6MoQbKNoWdczPBTV1Qbvr3h8B8JY3vXFe6r35jckTyQ8+uo1G4+nf5ZBKpVKpC8u9j+zAGMM1my9i+cCz6JjxM2pvLnLLVRcDcM/O/ee8XiqVSqXmlzGGu36UjLZ7y9xjiXPt8Tp33781HX2USqVSv4DufvgxAG657iraW5rPeb3li/q5ZvMmjDHc+/C2c14vlUqlLnhCnJ8tBYAx5sSz2c52/fkKv2wi6fryNWPM8eeykDFmELiNpPvLRWfh3H4m2z77bUYPjOG1t7L0997Oste8GqtcheYCTjf0v/49PL8Truhr4QX7b6NNRzQKS1C5TtyT+2las4ba4DjxxCgc2EHJDTDxBFHvesShB6m/5xba/+adRFs+xfE7D6BmAvItOVTWAWMgUkSuAUeiLZAC/KkqtUZA7WiJxq0fpbxlP7NTNUxW0trTiY4Nnas6CB1Jx+p+MjkH6VqoSCcdMcKkM0h1toLEothcoDxeIpyN0DNQlXUufuVVdF29lExzDts4RFGEkQIpBCARlkVTfzNOBuyixJGCWlxDKzBGEKoYhUEFIUaBRCClxNFgGhBWfGSscWyb7Z+5h+nhaZqKrcSNiPHxM0RnfOIzAfWZBqEf4uRsCr1NmKxL8arVDN32IHFZMTVa4cS24xApbGkxsHyAhjFYtsB2LBq1EGdRkSBu0JtvZu3yDZz5wpcwIcS1CBkbdKRBgWULXGkTRRF4NjLWGK2T4XhSEgQBliUxxtDa34pjS3QQgQTpWIBJOrm4AsuzyBVySDvZ3yiNtAVGCtyMg2ULtADPtrEdJwnKeBbCkcnfXQslNBJNtdYgqAdJJxXXwigN0syFaCIGDx9HhgYlkpFEMXESwrElSAu36LLqxk2s+/8+zNJ//w6OMcSNiKWb1hBoQ6hCFr/6FoKeXsLVl1NtnMbr7yLuW4MTZ+l6359TOV0iF9qcuOOHtG/oxVMK2VAYpTn62c+w7PpL6b92LWOnRmjq6+DQtr2EtQCtk/P0fZ9CLs/Df/1x+n7jlWTX9PPYt+7EznjEroV0bHAMTiMi29VGPrCwahH+XQ/ij49x4gdbOfjhf8A8dC/elE9XeweOtCm2NNOIYoI4xnUdCu3NuK6Dci2cfBa/SdA4UyGertO0sIf+i1ZR8HIM7j7A2I4DGCmpjZcYvftBJj/9r5RPnaZpTS+5F15H+wtvINuUS7rmNHxOfOE/GLnzMUQ9xjICJSFQMQINRmGOn+HQ7T9EhskII/NjwRcna+Ms7mbZS66naeUSlCXASOI4xrIsJALPcbGKGTa98hYGPv6vrLx+A20LFyGEhWU0y667HNuS1CtVbNvlzNETtKwewHM8BhYvxFKG0DGUjw/j5mysjMPS65/PkkvW0tbRjOhfwMbXXorTW6B1TR8t7a2sf9vLaO7ppuannV9SP12tVuPAocMAXH7pJfNSc/GiRXR2tBPHMbv3HZiXmqlUKpWaP9v3Jtf2yzaum7eal61eltQ+9JweqqZSqVTq59CpkREmp6axbZtNG+bnvuXijetxHIfJqWlODo/MS81UKpVKzZ/t+w8BcPn61fNW8/JN6wHYticN7KdSqdTTEVKcly3188F++l3Oiq65j4fP0nqPr3PeBnvrqkY3IowbU9u+A2/lAsbv3U04XuHkA0OsuzmgUR1m0dg0yorxfEDF6IljhCNDsOFSio7N7NAwuZnjtKzdwPitf0/7oh52f+V+KrGgra/E6BfvwIQKtGB6cBIpQNgSX8csWruY4/uO0lwsIjyHruYi5WqF6HSNg/fuSsbY2DauyjJ6YhQpbcZKw1hNLrNTdaJ6jNEgLEm+kCFEEocRWmtUPeDM0BhCQrY1S6lUwh312PqpO0BoRFbSe+UiSqOzmPEZRCzxGwrlC6qDJSJliGp1csJF4qCCOBnhY0u0MViOjYoihCPRGAotRWr1CkrGtHS1EEYRmWYHN99E6NepTDdwbJdYR2ipaS7kiLSiNDRF5cw0Sgsi30fGLtrSCCMgMBzecwwhDCcODQICIW06BloJXJt4uoIsONRaXHZ+8mtEMsIKbEDSqAdIZ66zjta4jkQpg1ZJyMgAGINWChEl7yTKFBwiINuZxVMuUxOTWE6GehzhuTaemyEKYrTUGCkQroXQBoXGERZxFFHIN1H3a0lIIjZI28IYg3TsJzqKCBe0A0QxudYs/mwdEwRYWQu3kEnCJRG4eRtTcJBa0L18MacODiKqCuE6ENQRtou+8SYO/u8PEksfO+8SRorR2SlERpCxHUaPHKa9qRuZy5Jd8iLqlXuxXRdMO44tWPjam5lSWfKPbKVn3WpknKH3rb/GwQ9+hHqpwsGjd4Mn8TwLo0JELEGAlAKlNK7l0gjqONri0N99kViCChW+aeB4NkpFGMtQ7Gon29FM08qFTJ4aZDbv0dq+iPJDx5Czs+wevZtMc5ZwqsaSazdycsdBWgoSutpwupuoDE8gZyNWXLWBQz98mOKiDjLL2pk+cYba8RH6e5sYHR3DbmgCGSRjqrTGOjhG2YGcMbReug5ZnmJm70FiH+Rcdxx/dBoVgW07oDSRDrEdm02/+0Z2fv67OJHBcrJEMkArhZQCIwSdl6/AGENzVxN2Nkf54R3EYYQxBtd1MUIjLYumRe00rVsOC1cw9T//gPp0iVgqtASdtykfGGLh5lVUGj5+uU7PxjUM3X4fUaAZ2nsMyxUsfd5F5Bd2M3znwxSEYXbPQdqvvYKRrXuY2HGM07uP4nU30bduDWE4y4nvP8TCyzdSGFh8Hq6uqQvJ7r370VrT29PNgt7eeakphGDzRRv5/g/vZseu3VwxT6GbVCqVSs2PHXPBxkvXr523mpesTDqsPnZkcN5qplKpVGp+bN+5B4ANa1eTyWTmpabneaxfs4rHdu9lx649DCzsn5e6qVQqlZofO/YnL09tXjd/4ZfNc4+PHtt3cN5qplKp1AUr7cLyc0EIsR54B3AZ0AF8yxjz3rnPXQNsBv7dGDN9NuvOV/ilTBKA6Xq6HZ+hx0MvpbO03rOmGxHkLMZOjmFGR+l51duwvvEA2YWt6A6X2uHHKG19kMH79nPV+95BEM5SPfwQxc4exrbtgKEjDLz27YwNH6bQv4ChLVupDp7m2EMHMI0YG0F5qIGNhUGAUkRVBTmBHQmwFKeOjNGYCsm5IRaS2IZwLEA5ErvosP41L+WRr3yHrmZBeBJAg5CocoSKY6RlIQWoUFMt1RCeg+PaRLUQDMRKIy0oj80iIouIZBSLZVnohmL4/kFsD7qvXMX4PQfQOYdMNktwpgFEuG6GGI0MJZaTdCxBgSUkxmg0II3B8lxq1SrSsrEdm0algWVZKKlxsChVG+RyBWrlWSwrGUlUjwI6+ruZHZ7EIAhrASgbjcYoECRdNogVSmtEbIE0xBmYnq6Ra/PwmrJUxkqMfONhtAFHu8RooihKOrXYglw2izIK48doIZIxNxmXiAgTS4w0eK6DLgrsGMLJWXpesJFsTx+TX74dz3ZxshKBi9WZxZ6s4GZzNKoVatVGMrbIhBgTY2lJtVrFsQSBMuQ6CvhlH0sZlC2xHQvhGBp+iBQWXQMLUGFEXFEo10cKSS6TRcVJ+CIODdZsgLZtZo8N0+rloNOmbVkfrTfezK6/+Cj5lk6WXrmGqKeLqdt/wPSUx0V/+U9MffdjVHadoOdFb0KMHGfft75BvquN6e/vYOoHP2Dgxdez4p48t73rpYg4pOnK19MoCjpuqoM2dCztZPSecQLbQkUxdncreTvL6GwDYzRGCKQrcTIOliNp6IBYaOzYwngOsqFoX9JNfbKC7Tr4xlBsypBZcTk0HSQ4NMnE5HGUZ8jaLuGsT9wIUZbgyNa92E0OY0MTdCzrYqI0i9OSIx4d59D3tmPZDuFIndyqIlJCoSnPxLbDbL7mMrb/8AGMkaA1kLSXMo6FoxVho8roFx/GiTTG9zFaE9eT9sXCGJQyCBlz0Q1XYw90sf9L30arGKvYTPnEJFonYRYjkmNm9g2hchalU4bVmy5n+MgQre3tlMYmkdLCsyWiq0jXDVdjr7wMlKaeiRGWhQkNUhgcYVM+OUq4ZjEdq5fTOHGKw7d+ByUhX8zgOYJKFOEuWwhRTPvqJYzvPszgg4cIpiqsfuuLGRscpX5shJkTo+y97Q4Qgt4VCzl410OYxj1ccs0vzfv1NXXhmJicBGBhf9+81l3Unzx5PDE1Na91U6lUKnXuTUwnD/EW9s7f+xwWdbcntUuVeauZSqVSqfkxMZk8ZljYt2Be6y7q7+Ox3XufqJ9KpVKpXxwTM3OPWXrO1stdT2/Rgp6k9tTMvNVMpVKpC1baheW8E0KtIUuuAAAgAElEQVS8F/gAT2ZRDEkA5nE54O+BAPjE2aw9X+GXw0An8HohxB8bYxo/60JCiCzwOpIxSkfO0vk9ayqO2XD9FZy4bw/kNQ985A9ZdcvzsHcfo/bQSfz2nbRv3sD+zz5C5fggLfkcRHWOfeBvaFrQS9/1L4FonNYNVzB7x700xnYye6yMMQatNRiJcMHkIJxtYEUuS1+ynlj4nNpyFNtkaC4a7HIGNa2IvRphUw6kRlfrWL7Dnlu/TkFLSpUS8vEuJVojpcT1PKJorsuLMkkXi3qAj8RxLfxqiDEGx85gTIDBoAG0Rs0FA5AS5YfM7h4h8mMoaypWA+FZFNrzOMJm/Zuv49jtDzMxNI0ODfmmDAqFFDaiEaKUwoQaYwTSkYS+j5fPIIA4jimVZrG1S61UTbqlWBZhHIKG6eNjKCGJohAJOJ5NFCQBnce/j1LKJMgCWBmH/IIOVm1czt4HdqLLIUEYEUuFsCyiMMLEBqGTi6JtWzR8H+NKLEtgkUycipXC8zwCAqSw8Joz9K5aQBQpqp5AKoH2JOt/880EO3ejLUWl1qBtoIe42mDkvt10LF3AwmITw48dwM4UiVREJpNldrKEmvvZq0ZA7BnsAIyOkVkHJ+dg5TPous/M+CRBNcBWNkZYaAXlsRKWZRGqGFtYhH6EyRuKrS1U1y6naf8uwulxRj7/OSK/zGN/8D56l3XS2H+Cnpe/BHXvdib2P0zzjS9hcttHEMf2svdL/8aKdVcyvu8g2byh+f2fIafO8PuLl/B/fX87o/sm+Z03lPnVKy+iEmvMZz/E5MOHEFYOI0OksmmcLFOjghEKx7bnRmzZNBoNhC8QKvmVim0FxsLO2EyNjGPbHv5kmVAampvawdUM7zqIo2ssWbOcoX3H8cMAt+jgVwO8rJsEuuIY17KJ/IgVG5YxdMdjWLbAmKSjS6Qjyqen0BmLyuwsG15+PSf2HUHgAAqEQDg2woAKI5yMx+ADu8hpi+pMFdtYRFojhEjGTgmB5UDzqkW4K5fid7fRf9VlHNvyAKVTE4i58V7JPyGN4zioegxKI1zJ/o98Eh0pSpUJlKuxvDzOug76NlyMnWlh4tG7CB7cgz5VRWuNMAbPczBC0FCKvN9A5ZoY2TeIC9QdA1ZMS3cXVGYJtx0i+8rX0JpzObVjP1JqfAnbPnob2eYCmQUdrHzFtZx+YA9xI6BaqeM5NvnOnnm7pqYuTFEcAeDYzrzWdd2kXhhG81o3lUqlUudeFCf/n3fs+XqoCu5crTCK561mKpVKpc4BL/dfbopInuNxvMxTfv5ccbyky0xonvq8UqlUKnXhevIxizVvNR3n8ccs6XNhqVQq9XRE2vnlvBJCvBL4EHAM+ENgKzDxf+y2BZgEXsUFGn75GnAN0AN8TQjxJmPM7LNdRAjRDHyRJzu/fO3sneKzEwcxO76+lZxjUAN9LFq/ilPfeojKiRNk4g4O3b4d8Y1Hae7MsvvDW1hy3QHCToewJunatJhquYTds4GsKnNk125qI1WkMRgtwCQvkovQIgwb2MLGzktqQQ2T82hpytP90qVE7QuZ+eAPWPS8Pr7+uUe50tases3zmBo6zZl9p7FrEQiFrZPQiFIKAQgpicIQpTWWFFi2QGuFljYCTa3uk2vKEjUilIyRrkWoQoTiiQAMgFEKR0gqE2XwJNpzsQINWmNCmG6U+NE/fgcpFLlsE0bXMdoCYYhVDBYYIygW8lRrNYRMxr1E0iBijY4NQdwgk83i2DZGKwI/QBob0IQIXBkjjUSLmCiIEcagjUHAE8EXANt1CVWIf3KKvTMNhBTJ129JHCkIVYhSSQcPKWUSIIkjHNfCsS2KyzqZPnIGIyXZQp5qtUpHVyczkyUq5TLyKAy85WZmv3M/pruD3NQMav0qWm64Ch2De2QvXqGF/fdvZ8lLLse2bVzbodcTlCen8U+No12JLS2EUTiZLBlb0jrQCZN1rJYMmXwOy7HJrOzHP3SayZFRPLtBY7JKprmIP1vFtm3CSGMEFAt5Kg2BQNK6sYXw4H7Ksz5i8SomD+9HCAtig9XSwpI33Ux52U00Tb+fzq4OzGSW7v/7o+xVgqn/cQPrKw+y8Nor2JlZy12zMUPlHu7es5cb13Xx9dNV9kzYfG7nMV5x0Vo6ckVCLLKRxMpIlFJEMbQPtGDnXWpjZfxySDafIRQBcaxwpEMUx+hI4zqGsODQubiPYGQaK+/hNecY/O6PUPdtIyPqdF6ygjMPDBEFPq2trZRnZslmsygdoaWk77L1NCZL5K+/isLMOMKSREZjZyQmlMiMIJ7wiR1F7+I+Rh87hlPI0rask9KJSUI/wlYK40ryTUVKUyX6TZZ6waFRaoBST/5+CYEQgkgYOi5ZSTSr0Eua8BYtoS27m8l6CZkMygIjsS07GQEmJb4OMVWJG8YElo22BQuv24x/YoLW2GD3rIRCnmL/Bkr33o8WGhtBKCGSMRtuuZ56Tw/TDz3C5MHHMJUGWlp0X7qcjJQM7zyKEIJcdwydPfzPk8381btXMvilfyc+doZcbztOUxZhFI2RKbIL2rD7WmmJJLqQ49j92+b5ypq60HiuB4Af+PNat+En9TIZb17rplKpVOrc8+YCjn4YzFvNRhgCkHEdGFjx9AecOEvvwRhY8gxqPfdRTNaShc95jVQqlbpQed7cYxZ//u5XABqNxx+zzM+opVQqlUrNH8918YMQPwjnrWZj7n4s46XPhaVSqdTTSju/nG+/D1SBFxljhuC/BpKMMUYIcQhYebaLz1f45dPAe4ClwEuAA0KIjwFfN8bsf7qDhRDrgNcAv00SoAEYnFv3/DAyCWgYSfXEMOWxiEWvu5Idt46BH6AChRACoWyyVxYpVSoEx+qEboSzZj22W6Q+coTyjoeJJ2fI1kIajgUYEBrbdcn0ZamOKPL9RURsmHl0BBUHtK/oZvAre4nD7bSs6GbiVIOrruyneUE7h7/3CMpxyEloYBAyedndzL1Yn8llCIIQLcArZHFdl7AREPsxmZxHeWYW13EghkJrFhEpJoISjvRQRkFscBwHUZA4DU22o0ioDKrmU6sGeAUPv9qgUaljSTvpjCGg4s+SybpEYR3HswnjOAkrhHVq9ToKg7A0ruNiRYp6I8B1XSzpoHyNU7Ax0sFRAbEfoY3B9myk7SCDGGEsNAYjRNKeBRCOJDZx8kSHMFhKorTGQRHU/SQgoyDWMUiJ64FxobB6Ae5klcqUj8hDOB1SPTGDDg06jqhGs4hmm/brVjJ113Z6Oroo1SsMb32U1r5OpgdPkl+9FiEU9akq4fgIjsxhFZtY+4bX4/QOoOwscTBLR/cY2cYs4vv3MDM4g9Aa1eSycvUKctdfBrkOFDEZO2birvvwVi3DW7gS18mSWdzHke/dg8g5hNU6Qkq0MXiOg1W0Wfm7v8zRj3+Nxtg05UOzqFiiO5tx7AjbUoiOAo2gTvZVr8KcPoV/26/TfuPLOda0hqWzh/nRyDRTuoVXrjR8dHINt28f59ieR3nfu27iTWvH0dVmPv1vj3D9Tau5YnkT7S3tZHQVsaALKQWN1hipNMJIvIzE7i6w+B3v4diHP0BUj6lV6knHFNfQd/NGdCHHyW/eT6a7jeWXrEM05wk7Jzh+z05EPUBqQ1Y1yHV3snPLAVosh7beTibHJ8nFAqfJormvC6kMzde+EP/+HzH81e+y6k0vxW7yEFqgJxsoFDQssDWtS7qo+FWiqSpOV4G4pkBoZFbSWmxlujKF7zewhcNMR5ZGpY4xBj/UWFYS5NKWwPUEHasX0Tg5wcjuB7EebUaokNLpCYTloBBIA9KxMJai0JanNFWiqbudyvAUobAQwiClYGz7IYqvuoGZg8PkauMYawDnzKPkiu1UVZUgjrBsG4zFge/eS/7KzTStWEv5vvvRykIag12r037F83D7u2l5wa/xxm/v57ZfupUXvuA1cFEr9XKZwNa0uR7V0RlWvOByhvYfIA5iwv0n0O0d+AXJio1rztslNnVhGFiUvJh2+OixJ7ptPSdznWSMX/2pux08eAiARd0dT7vvuSIyhbO/6Dx30EmlUqmfRwMLejl0/AQHjw1x/RWXzkvNQydPJ7W7O55mz1QqlUpdaAYWJo9ZDh4+PK91Dx058p/qp1KpVOoXx0BvN7srVQ4OnmT10oF5qXno+FBSu693XuqlUqnUBS3t/HK+XQw8+Hjw5acYAc76k3/zEn4xxtSEEG8EfgC0Ab3AXwB/IYQoA8dJvsA6yWwnj2TWUx9JYKb5x5cDpoA3GGNq83H+T8UoQBoaxsbRmoFbLmby3n3kWouoqv/EOJTSzBTOSUOutwdnkUfpxDRDt32bIGgwvH+UTVdsxK+HGEs82VFFCowK0ZMa4wtmD5eQQhBHGuHaTB0cxzYCaVxKUzNYjsC4htnxGXRkQPsEQuBkPHSs0FpjIAmHGAMYXNdBaAjqPihNrBWlsEKxKU8sNI1yA53LIwG74aL9GEMy3iVSiqKXxelwKI/PUMx1Uq/VcBwHcgILC13TGFtDLJFGICybbC5HRc9iOYYoiGjKNiGqAumCHUosYyFJAivZfAatFMYYjNBEUUwulyWSBrfgolQy9kVjyNgZGtUGRugk0ELSoSbjOAhr7hqnwbZtdKQJyyEYAdJgZV2MATHX4txSFmZwHOFmiYIQE5KMeopihBDYno2VdVHTIdM7j7JozVLCOKB3RQ/UAtzedtqUIBhYwOjf3QoFie04LH7Lmwh7VyIs0LVq0gfE9jDt/aitdzI7NIlQguaBLig1GDl1ikXjK8gs6UR6WbSyabvpJsKJSUBiLV3H8S98mv7lSzj+0D5EzkHHithStOQ8vN4Wjnz2G1RmpvEWFKiWyqx4yTUc3X+Ysb1HaL/yYir7D3PJa15FacsWjt3+EF5zFrL38v77JR/4rRfx8gP3wPQwp8TbeOt6xauWFdj/hku5jBqWKtDSFvHiV15H1guoN2wWdmt6f/RpSkOnaCp6TMQ+bghYityKDrI3v5rZE+M42TYwyYvV0rbIdDfTcu3zmT12EpG1qA2Pc2KijNNaxO5uJZt3sZtzTJ+ZINKacHKCQghxk0T2t9LaCOi8fhXTu45h2grMnDpJ6/HddBYcJqdrHPyHryCEIJYgZDL+KvIDOvp7sIs58pk8UVsbhUs2MfHQ/RgN2oIoJ+nu7qdyYoJMczOWgvpUHR1pbAlYyXqYCHdhL5WRSTJa4XQ001lspjJdouy4WMokATRpcNoyNPe34zY3QdjB7KPHsSwLHceoWCAdqNfK9MyMMzZxig77eUTDD1F7dB8Tk2PouRDb42O9OlYsoXXTJnxHUNy0lNlT00RCUz4xTe/zJTc92MuuD/wx9373c3z55gUwPkx4egSrxWPhynUYW5KNQo7s2I0VC/IFFytvqFRmCcox9SULyc7XRTV1QVqzaiXZbJZKpcqRo8dYtfIZvFv+OVJK8djeJDd76UUbznm9VCqVSs2vzRvWcMf9D7F938F5q7n9cNJdZfOqpfNWM5VKpVLzY/PFmwA4dnyQUqlES0vLOa9ZKpU4euz4f6qfSqVSqV8cm9etYvfhY+zYf5hXvfDaeam5bU/yXNjmDWvnpV4qlUpdyC70sUdCiHuA637KLi8xxnz/KY57C/AuYC0QAg8BHzDGPHAuzvOnsEkyH0+nk+Q8z3rxeWGM2S6EuIqkW8s1czcLkmDLxXPbT11i7uP9wNuNMcfOyYk+Q2JuRJG0Y2IsqtuGmTkzhddQ1DIOdhCitKCl7f9n773j7KrK/f/3WrudPjUzqZNMegIplNCb9CoKwlWxoSKCXMXyE7+iIAqK/Xr1eu0IKgoKCAGpSgsJECC9kTYzqTOZcub03db6/bEnNEUSyExI7nm/Xvt1zuyynmf22X199uepQecFm/JbsFMGoavJrekm39uPXYalDz6HoczIrURG/6IOQiwnhqEkga6gQ1CGxrQNpBRoHdA4o5VEXZJty9ajTQjKIWPPPIT2BxailUWgFaYZdaoLITBtEyVABYpAK6yETSlfIuWkCJSHZZgYocBXPl7FR7maoKeCnbQwDANfhIQ6xJY2AG7Rp9xXQCiD/koPCo0RCtw+n3iTQ93MZrY+swnpCLSv0CgKuSKJuiTxdIrm8Qm62zrJZDK4gUugK0igXPaxLAspBD4a27FxUi9b+TnxGJ7nYcdMytJFFxVSQywdo1wqEbfjlEsuBpGIyNYCe9Iw1NZecA086SMECAwEitAPUWikIdBSoAJFISdRtQGxdAIchZt3STbWUujMIjQoP0QbUO7O4yqPponjSVkxghqbmuEj6OztJ9j4IpPPPpbKqCaK81+gvOBJMu/I4IUh0kmipcLxffwd63AycUJtgNL4oYeQHjqryXZsZFRtHF07ikKuHWPdRswjjkGWemDFWlKdLluyLzJs5jh617QxasoY6ufMpH/xWtpXrMfQkkBKEv0+o06fwaZnVtAweSTJCaMobeylvz+k2N9F8fklqGSSCacdxb3HX8WzX/8jP3ionc6uWt4xZwZn3/89rNDjT83nc+Ex9YTKoBIEfHj6SP4WbGRCUy35UHOs30Eln4PAYNwpc8jdPR9FiFUbJzm6ibqWiYSpeup72uhbuxkhFCr0cXvzLP76fzPz2i8y4uSjsQSwrYtKtszoYw9j0crbEWUPOzCxYhZaKsKYxNKa8qZuMmObsKRB80GTiVVCRF0ja+Y+AXYkdgKJViHaDzHiFolMHFOBjtt4lsAZ3YyX66Y+hK2dRQxD4uVKTD/hSJ6/8xGEEJTatmIaNkHZw7YstIDQ1hjJGJYGtSXLtAtOo/3hp8j5ZerMBL3tO5A7hS+E6JhB7ZzJ6B05ErMPIZXM4G6+hWJ7FqklTtIkOaoeWwnKSzoY09JCees6YoUy21ZtRpVVVGJpoNxSqBTZLTto2t6BWVNDmBd04BNvSOH1uaz981ycidex4emLyRRWgVlD96q/klu8FtfXdD+3hmJ/junvOom+uj4qS7cx4p3TyC9cgzlhBNu3daFK5aE+tFbZxzBNk1kHHsDTC5/jyflPD4n45YVlKyiVyyQTCSZP2IVyEVWqVKlSZZ/ikAMi57l5zy1Caz0kDyzmLY2ENgdPrp5XqlSpUmV/o76+jtZxY9nY1s68BU9z9hmnD3rMeQueBqB13Fjq6+sGPV6VKlWqVBlaDpk+mZvu+hvzXlg6JPG01jz13OIo9oFVp+4qVaq8PkIIB3gfcByREcXr1UrTWuuThiyxoWb/KXt0B1H5oNey5bUjhBA/ICo3VAYeAmLAKcCpQogLtNZ3DWair2E9cIgQwtBah/9qBiFEEpgNvGGFoN1lyMQvAFrrtcBxQogzgIuAs4H0LiyaA+4Ffq+1fnAQU9xllFIgJZZUJO0E1gdOJvaHe5C+x+yTD2HBd+5DBZGbiOf7qJjEc0EoRW5blsBXaAGGjnxKtFAQSkzbiFwq3ABhmOgQpCmQlowcXKTGtEz8QsDyDauw8DGKkrhMsP6vCzjyu5/hxV/cRmlzP2W3BKHAijsIS2AAipCEHSNuxfDzHqVcKeqYlwJDG7hFn0D5kYOKsPD6PUIdOcZIKakbXk+lVKLUXwTTQnleVAZJCMyYhfZ9HDdG95IutFAE5ciJRVgGBgYUfbxEQM/GLVhIwqCEVgI75ZBOpykWi/huJIARbkDgV5CeIHRDlNLYcYcwDDAcSX1NHf2lPoQUeK6LwCJQYNs2IiawHYNiNkBvyuKjScuQMAwxpIkhwPdDkukkxAy8XAVXuKTSScYdNoViV5b8+i7cmEXtiHomHzuHRb97AK/oIYTASjhUygETWiaT7+gmn5bE6mrJGILao4/HROMLAzsRJ3n62fj5LBWvgmUmcct5So8/TKqlBWv0SALdT119mu7tWWL1dbScchz9foWevz/L+iXryRdcKHsQlySfXEKhJ8uIo2exLduLxsTe3kfjoVNIHTqTVXc9TNiZx8BACBh74XEQq0dZggmfOhsch9LmNhI1K9Hr2+Co0xijGykd8RFOfXwlsbufZ1iz5Njpo3mo0s/7J8Xos0/HaWnl0mUPkGrbTpAex4tGMxN7FnP+CIPKxkXYB52F1bkZLwzoK5UwJkzHrIsRJ0ZfX5ZtTy5neOwvlEYPo/DUQmLJGL6fR2gDowKWCOm883Yazz0fmWhCtq1g/cLn2fDnuZiuIJDR9udk4pTyBWRtjHRTI8X+HGHZpaQDehatIVlTS35zF6mGJG7BJdByQDVnIE0TJTR9XX2kUknGn3gk/ohx9N13H+nZh7PumfkE+QpFAyytWfqXf6CVxjAkGhPf9zEGXFdi9UlGnHw0PVs34/SViI9pZPVTT1Pc1o2pJG2d64j2uOhYYSdjxBrT5Nd0kM7ESboeK/52CwccdQTLy0+CFxAaAhVodmzagZVyCEKNvbmTvK+wHJtKqYyUEiUUQgikBF1y2TD3SfrzOcYdMJH68WOoP/147BXr6Xjnl/ij6EaFFSxhkl23gN7nnsPvypGecSCFVRsQ6Thbn12O6C8y9bPnoboLNF10Pu2/+yuNtiRl2Hvj8FplH+OdZ57O0wuf45c338LHP/LBQY/3y9/fBsBZJ58QlR+rUqVKlSr7FScddRiJeIw1G9qZ99xijp3zRu9IvDXWdGzliSWrEEJw5hGDG6tKlSpVquwd3nnmGfzopz/jlzfdPCTil1/edDMA5wxBrCpVqlSpMvScedyRiG/+iMefW8yajR1MaW0Z1HjzXljK6vUbScRjnHjUYYMaq0qVKvsuQohRwN+BSUTmE/8O/QbT92mEIfd2CnuKL+xC6SCEECcSCV96gCMH9BgMmJI8BtwkhHhMa903iLm+kr8AXwO+AXz5deb5BlAH3Lang++VX19rfb/W+gNE/9Rk4F3ApcAXgK8OfF4KnDswvV5r/cG3i/AFQMpo1VVcySFnnoh32/2Ynk/X4naW/fpxQh289JaiNiUGGqkVOoTAj8obCR2Vb1AAOmov9FU0Tim8fPByiRNfvaLciYZxFjMOnskxF1+AxsYNPbSGhdf+nEJfHnt4gklXnk9DUxpRE6Pl1MMxlAItUWXI9uQJ0RBohBIEvodX9nDiNlIJpJZ4ZY9SqRS5x5gCx47T3dmNKgdo20RocMwYhm2QGB6HRORI0V8sUCmVUUoRq7HBtNDlAL/s4WmDxrpamtK1GBp838NJxgGB67roUEROM36IIkRKk1AHpFMpdKgoF0rEYzFS8QSl7TkMBKmaDIZpIk2N0l4kEDINRMxEGhC4LtILKbg+hogcVoIgIF4Tx6mLE+oAI2lhZBLEGhLUH3cEo46cRX+9oPXQGdQ2NbLq/scYe9xMYiOSTDhyMummDGbcYt3iFeR6e8iu24Kfy9O/ZCXCcdCxNCKeQGmBj8BfvZT8C0+x6dbf0LPwUSpbsyy6+U6W3XEvy265nx1berEE9OeKhOOnEp96MBM/9mFiR02hYVwTYmSCQAVM/o8zUMLBW95OKh6nLp2gZuxwKus62fDbuYgdFUbOmILZlCRUiubWg6jTZWS6Hj/bhVuq4Igi4VFnMf3bv8Z7fjFbagVLpc0vzpnFNee2ghBs6uthalMDNz6xGT1yBtl4HTJdQ+/Cp1n7P99kbN8ywoZx2MU+tv39AaSbRWxZy5blG3BXrye2Lcv4dx1Nny7jeBYyr1jZtpGaKbPo2boDr1J5eTtXmmKgcNt6EBtWY3v9eIk4iakT8dJpFCHCD9FK4XXnmXX28TTWNFDwfKb/x3vIdfZS7i3QH1ToWb+dUAtyW3NUektRmS4vEiwhNcLX2Egam4bR69TS++Qj9K3bRH2NyfijjiA0NE4gQRn4WiGFiPIMQ1ACpTW+VpRKJUrlflpOPQezPk3nU4sob9yBxEBpgRrQMQoiZb5X8Slt76W8qYcd2/vJ9/ZR2ZKlGLiMnjaJ2jHNDB/dSNNBk4k31eBIA7MSkNu+jeKObqxhCRKmwjMktrQi5xvToFIs05vLgyGhPsO4884m09SK+tAVTNh0H/G5v2DMyjvJ3vtrgkVPM+bYYzngiovJrlxLPlckJQ3iLcPJWQGrfnwnL971ENvvvpeKmycfuGweqCVbpcq/42Mf/gC2bfPscy/w3AuLBjVWtj/HrXfeA8DlH/nAoMaqUqVKlSp7h5p0ive/8wwAfvqH2wc93s/veRiAs448iLHDhw16vCpVqlSpMvRcdsnHALj3/gdp7+gY1FjtHR3ce3/0+PLyT3x8UGNVqVKlSpW9w9iRwznr+CMB+Nntdw96vJ/+6a8AvP/cM6nN7Mq75FWqVPk/yneJ+tQXAOcDM4DW1xn277rPQuydYe/x+YHP63cKXwC01guAnxFV4fnoEObzfWAVcJUQ4gkhxBcGxo8XQlwhhHgEuBJYOpDfHmWvSp90xHqt9Vyt9a+01j/UWn9z4PNXWut7B6a/7RRo4YAFd1xDW1sb2e4e3G05ZMmif3sfWmu6O7sBkESiFxXoAfGKgoFBCIF4xb+ntUZoiQ4h1AF6wOUhCgpCCYQQ9D29mba1a3nhDw+iKh4gCQONX3IpZ8vkNmXZ+vtHkEkHJ2awaeHzSANEAE7cxkTQNHwYImUQeD66LEEJKiUXYRjonWWdhIlWUamV5gOHUzemEe0HSA1CamKWQBFS7HYJ+l1CNKEZkEgJ6lIxPKVRjsKKQWJ4CqUUHS9uRlsGTaNH0jxtFK5bQimF7/roUOFVfCzHBEuitCYshBTyRZy4g+M4uLjYo9PEmhOMPWY6olYSS8SidSlEJDYo+ZS7C8TicUzTQioDy7HJNNSSTCcxDAOv5BPkfOK1SQwHbNen2Flk0Y/+wAu3PciwoqB71Qa6nl7FmCMPpv3JxehKSN/2HSTjMWJSYiOpFCrUjxpOblsvtYceRvsjDyGz22Hhk6y76X8pr1yEaG2l8aDDaTxqNu7qredDhfEAACAASURBVGxZ0Y4sCfILN1Cu+PjFCn4Is844CXwXWSrQ9cyT1NXXIL0QmUlRl0nz7E9uIz0iQ1+5yJhzTiExZSTlpCI1spEDLn03o06YSbI1w7AxDdR86r1s7eth2/wlpE2NNWUO+UfuRTaOpyYzhcL9PyV1xiWMOeI8TqsPGBOrMCoVJ/ST3DlvFcOHD+fqsd00OyXMpX+i5667qR07gYnvuYDg/ruJZzsozZ/HyBlToHMVlamHUNzSS1CCFX+5j3zzMERWUdIBMmmQTNloLWk+YByBUsTjcYTU2PUOWmq6t/ez/tYHKP7jQRJlj22/vYfSyi7qprfgmxrfCLAzMZb8fT75XC+TjjmSHU/MQ0lBduVGrH6FEuBVKhiISPgUhjjpOImaOIZhoA1JYvY4hp9zIuVnniTZMgm/4rH6d3fR9thjJGujmwehNGhNGGhUCCoEbSowwLCg9eADGdHcAjqkuSGDCg1iiTiZ+gzSiZyadhp5GYaBENE+bpkGTiWgd+VKnLpaNsx9gi2LV5Hv7iWI2aRP/ygtN/4P8rt30n/9f1P42k1M/fQnaT7ueMZ868c0t2aY8Yv/JiNM7Lo0dirOsEkjwddYvf1UmqfQO/FQEuUc7XPvp3tbJ+Wij1XTQOMRx7Hh8adRjs3UC89j2gfOQrs+oitHSjs4SQuvUKa8PU9dy0h0xafSlRuyY2qVfZemYcO44N3vBOCzX/pKdI4bJK6+8fuUymUOmDKJY4+YM2hxqlSpUqXK3uXy978HgNv/9gjzBuy9B4NV7Vv4+T1/B+CT554yaHGqVKlSpcreZcrkSZx0wvEopfjcl65msB4zaq353JeuRinFSSccPyRlYatUqVKlyt7hsv94FwA/v/0eVg3iC4TzXljKnx98NIp50QWDFqdKlSr7BacBHcDJWuu7tNYrtNbtrzfs7WQHEyHFXhn2yv8qRAzYWcLqL/9ilp3jzhmajEBrXQTeATwIHAN8e2DSccCPgBOJXIpO01q7ezq+eBvqSvYJ/n7YIToIDOK1cYJCGbRNwjHwSgHa8BGhhTYj0ctOhdFrOwR3CjUAkK/WIWnx8ihDSxSRGMY0TQQQSAVKY9kGYaARWiMwCNGYMhLnxFIxtIRY2sEr+oRmiBNaxONx8vk8bs4jdINI6DIwmKZJEAQYhkEQBCTqkuTzRSxMYk0OTbPGs+WBlbiWgS0UVkucaScejFVxeP62RxEDDjbNU4fTMH4YK/6xDCeQaCmom9TIyKnjWP7AQvyyR2pkLarkI4TAdT2kkqAUWofEmusItcIoepRjEivQWIZJ3LBJnTaZYE0nri6Rqh/O5nnLQJoERR9eIRbSWoMhkQikEAQqwJAmwpAoWxHDoeKWcOwEpUIREbMwlCZhOqTH1jLi0g9jeAVIDENKiXADSssXsGHhYuy8S3pCKxuef4ZYmGbkQa1s3rwZu6QZec4JNMycg9i4Hre/B0aNJCzncTq3s3zufAQ2biHal1UQgo4EFlrrqIRHTHP4J9/Fypv/TqAVbqGMaZsoNSCeEhpsiwmnHUzn/GWMmT6JcqEDo24kqt+nq1Qi88kv0uhoUlvaaOvcgnX8xdT0rCSps2x9bDGNF32QLjfFtlKesSmLZl1ki9HE6Tc+TCyhOe+kmfx/h9QSkmT5xeehykVqRQJzSh06hFiqgR1rVpEYO4JJ55/N9omnE1N9dP6//yTcUoYREiEDOjt96srQ+I4DGXHmuay95TcYtqZvWVe02QuBYUncclQ+K0BjCkkgQlytiYUGYkBoZRuS+Ihacp1ZZMZm2sXnIf2Qtb+9h0rJR2pQYYjSGkODWeMQFFxitokvYeQBE9m2bD0BIYZh0HzUAXQ+sRRlCpK1GSqVEiof4IchQaBwTAd0iDDATkTCq1KlhG3aOJkE6dnjcUObxjlHoTc8T2FZG21r2hFuQOj7CC0xzKiynG9qxh95AGVbEFY8yBVI1NfStXgDtm0QnzqKke+5jFwiTV37QgrZLrrvfhxdrEBzPVIapK/5L+pXP07HnfciVbRO3CAk1VpPXXMDVn0LfTtg9lyX5yYupGd1J8Zwh0kf+RjBqGmYGxey6De/w9hRxAaCkbW0nngkTkXS8eRT1IyowShKNm3rIC1jGKk4Y46cAed/fr8pjvi2p9C7z56Q29o7mHHEMRQKRf7r29/kM5df+uYaCnwAdOWfy1j+Y94CTr4gKqv00G03c/JxR7/pfPcEIpba842a1p5v8+3KwG+9q/yrbeItsafb258wnTe1Le7yPlHbXD2vDCW9W/epc4vu3fbS949edR2/vXMuE8eOYfHcP5KIx/5pfrV57T+N21WCMOTYK65l4er1nH74bOZ+64svv3TwRrS/+bi7TfvGQWs63Lhpt+Yvr+986Xt8QvObWm6w2J18hhqjdcyuzzy2dfASed2Yu985L0fv2jKifsRut73b1I+snleGklL/PnVeeSWLlyxlznEnEgQBf/ztr3nvBefv8Rh/+vMdvO8jH8M0TRY+8Q9mz5q5x2Psk7ilvZ1BlV3BSeztDN4+JGqq55YhRG998fXPLa84fuji2+slPa01Z19+FQ/Me4bDZkzjyVt+gjnwLHhPUSpXOOg9H2VdxxY+cv47+c13r9uj7e82b/E4IV5veTv+ltr9P4lXfsNZdPX8+7ZBjJw8JOcVIUQBuF9rPehKOSHEIcApwGHA4cBIwNVa//PDm1cv9yHgCmA64AFPE7mVzN9DeVVsKZ3Cx0/dE83tNqlfPYSn1BuuhzdCCPEYcDxwPdAAKOBF4K9a647XzDsbWATs0Fo3/Yu2kkAB6NNa17+VvN4MQohZRNvKOMAANgOPaK2fGayY+03Rq6Em4ThYSUHrOw7EUiZShXieR7IphlCRm0oYBKggIBgYdgpdpJQgJaHWL33fSRhGdhHiFZd8nvBRCYVp2oSENI4eBr5GaomUEtM0MR0TbYWR8EUo7JiFRBCUXLysi1KKoBhgWRbd23so9BTx3YAwDPF9/5/iK6UQhoVXcrF8A0LwewLaH1qNsAzstE3D1DrmfP6D9JkWS/4876XlTAlersKyR17AqIBnhYyePZa+jT0sunMBCkEgFV53iVKuTLlYRmuFH3q4pQC0SWlHFlVySaRTHH3xBaiSR3pCM2PeeySVjh5iw2optBfY/tQSPBFixSTSjmylTMeOXGAwMAwDO2WDIzBjTiQqsgUpJ025XMbAIkRRP7KOdG0CK25RsjTDL30/tK1ExTNUcl0UFz1BXmZZ/fwSdFuWXKXE1mdWYIRJVMaAdJy65mHMuupj2P0Fck8+TCHm07txA057B4YVxz/93dSNbAZfRyWv/AAGtonIHUQQBAFuPmT+D++gkCsQuB5IQRCECFsgzKj0laMVamSGcuCxculKSj0QfPprZK64hCmXXsr8cAQ3bYnzq9ihfL5nEr9c24lYPZ+e1evRF17Kn5duI1lvUk40c9WfFzL7x+1c9atH+MhJk/j4mUfyvikZdoQ1lJ65nWRMkhpRjzHMIbehh2GjRqDNPPExjYw+7nhCs56mwiY2lRNMufoaas89AmXbNE+ZQm3cITOxGRvwa2qZcvlnaDnxeKRjYMjI2Scej2PZNtrXGIbAjBtkalOkkBhCRtuiZWLUxakdOxKASsFl3W//QtjTR+tZh+PEjJeFZEoQaAVKEIaaitJoYPPytVhJJxJ2eSHZ59ZiZOKkRjZQ6S9COdp3apvrSNclSNQ4yISBDDVu3qWQK+KXAyp5l/6uLL0vrKJ+/HhkOok/bhIl18MONCAxpIVhmiil0FITkyZBf5Hh0w9m5Eln0Hz+u5FFF1kOaZ45DTNbRjSM46alRX5hnkGiZQKl/gqBryhu6sTb3oN98/fRzdNpOewwKsUclUqZ+knNZFonYE2awY7HH6Vu5hQWH74G6RtMOvlgypt66PzF79j6vavpa1uNv70H05QMP/pAkjpk46rVdHdtYNgRU9mxdjvJ+hQjR48lEJri1m62Llo1CEfPKvsj48a28N3roxvwL137debNf3qPtt++aQsf/nTkjPeJD75vrwtfqlSpUqXK4PODqz/HqOYm1rVv4hNXX79HncW01lz1s1tZuHo9NckEP/v8x3dd+FKlSpUqVfZJZs+aydVfjNzAL7vycyxfsXKPtr98xUouu/JzAFz9xc9XhS9VqlSpsp8jhODn136BmnSKZ5et4ovf/9kedRZTSnHpdd9jXccWRjUN4wdf/cIbL1SlSpX/6ywDRg9RrK8C3wLeTSR8eUOEED8AbgYOBB4BniUSRTwhhHj3Hs1Oir0z7Hm+AlwGfIrIMWWdEOKrr5mnZeBz879qYMCFJQvUCSGGvHae1nqJ1vp7WusrtNaXaa1vGEzhCwyR84sQYuzA16zWun/QAw4BTx56lHZdF8sw0SaE0sIkJDU8Q9/mCmGxiB2Xr7rgkQMiF2EYSGNAaDLglBKVO9IvzbPz0a4wwMRA22AkJZa2qHg+BAqlFIlkjIrrYzsGKFC+wnMj55aduIGL7ZgY0iJwAwIvfKnc0s4yTIZhvCy82elIIyWGJcEXCFuiQp9YwqL1/GNpnDOL4ppVLP3Nw3guWKFEGSFSSrRSJOqTlAsF6g8dTf/CLsqhj4HGEhJfS4T2CbXAciSmaVMplTFtI1JHa82wMc30dvfh+wGGDrHrksimFOWuPkQAlCHdlERLAb4mvyWHJiSWjOP7Adr1CaVGCgMdRuvRsiy8wAPLQCJI1iYo5UsYysDzPIyYgWUbJEbVM/XkY/HHtqD7+jBiCYwdO3j+D3fhtDYRq2/EX7GZUneOolLEEyaq4mGlTMYcczBblq6mfupY5JZuhh0yDZFJ0bNuM/ml6yl1FXD9AIQk8HzQOhJJDKz7MNAoBbYp0UKAGW03pmOBUGAKlK+QSpOY2ERpUx+GA+PfcxLm7KP5UUea0x//CdMu+Txm4CMbW2iTNXRmXZatWM6WMMaVh42hpv9Fbt7ewOMvrOCyC08g39lJrR0yqnk8y7d08MRWxfWtvXhLFqBsH3PMAfQ8+wTdTy5HBiFGQjD5ksthVAs63cRj/Sa+67G+p8SHZ4+m9P0ryXd2Uyr6KBHS2tKKdcJROMkU5c6NbLv7Cfq29mPY4JWj7VEa0Dx+BP07eknNHEP/0g7KWTcSwKBxpIm0QdY4hGHIqHHD2bJsC1JDJfARRCIiqSQYEowQM2YxfPZEupZvJJFI0dndSX26jkJvDuUH0b4no7JeSijshE0iFiefyyEC8FSIZRi8sqtFCxAoZMxm1EGTqW8ZyfbnVuNZmnKuRGVLX7QfDOxfhiUx0jEOvOQidHoYgWVjta8H22bNXXdQDspkGocx9uLPsLV5FpmeDox/3My6uU+SsBy01oQ1JmEhxHRC6qdNo3fjZmJJSeuFH2HVihXUxzU77niEptZRZD2Pcm+WmlSMQiJOsLGHMbPH0/liBxXXJ2FbjD1uNoEFxVKFVMNoSiIg++hTVLbmGHfCwfRsbCffmQWtmPnHB6o9QUPFPuz8AtF57J0XXsS9DzxIJpPmvj//iWOOOmL3GvkXzi9tmzZzyoUfYn1bB1MnTuCZ++8gnRoE15XdpOr88hapOr+8fak6v+xf7MPOLwCPPPUMZ3780wRByEfOP4df3vCVV93nvBnnF601X/7ln/juH+8B4PdfuYL3nrSbosqq80vV+WU3qDq/DDJV55ehZR92fgHwPI8TTj+bBc88S3NTEw/PvYsZBx7wlttdtnwFp5zzbjq7ujjisDk8/uB92La9BzLeT6i+eb5vUHV+eZmq88uQsq86v+zkj397hA9c9Q0AvvjR9/PNKz/xloX1YRhy6XXf46a7/oZpGtz7P9/m1FNOeuMFB5uq88vbh6rzyz7FEDq/vIuoxM1JWuvHBznWVUACWDgwbOffOL8IIXaWuekBjtRarx0YfyTwGFAGWrXWfW8xr4ojpVO49PS30sybJvXzB3CV0sC/fLNca71LNx9CiK8TOb3MB7YBY4D3EIlh4sCVWusfDcz7fuAPwFNa62Nep73NwChgpNZ627+aZ39iz/qwvT4bAAF0CyFO1lovfTONCCGOBR4a+PMJrfVpeyrB3SXwXKzhMerq6hg+uomNK1aj+gXl7b3o0MBOgWU6+O4rSlVJiZAajSJAYBgGKog6yCXAwEVRqDXCkJhpm9ANMDImoiLwiz6ICk59Aq+3glKKStlDaI3nKrTQCBU5ZUgpUeGAqAAwLQuv6KPCEMuy8SoVTNOMYktJODCvUlHZIMMYcNLwFEiNMm1SmRjT/+MkKk6Kx7/yX8SLGldJbK3JTGgk19EDQiFti8B1sWMO2flbcQ2JhUZYNoHrY9ogZRzheugQ/DDAicfQrotWgAPZQi9WyiSVSlAul0nV1VJs60IQIjDAMMjlctjJOCrvIsyQWCqBV/IiEZCAqOARaEMhkAghMFNRKZy60SPo7+2ipr6WQncexzYwDJOa0Y1ku7pZ+Mu7SaVj+G4ZuyFDoELGveNQOje007toFVZBYlk2idBHlwKSNQlEwiTY2kOtEad3wRoyDRl627ZhjaintLoDw7bxAI1AByFi4Dd/SSClJRCJYLQQaEKkMLHiJtIE39NY2sCybLR08dO1HHrRURQbE9iHXkBeG3x5hMvqv2XZetevqb/4SuoW3Ufz5nXoU/8fHz6gjvv7Yty0po8xsQwfanW4YNpR7AgtprY0seZP/0Xw7suY0rWCzcOPh7hDvr+X+rM/QcnrYfsD87EaGyhty3PQsUeic9vJbtuId9Il5IpZ8hVNUOwnlCOpOfs0itf/AlErMcohXX3bGN65gW1WPSkLwpiFjinC0CBW5yCloNLv0pvvQ6kA04dkMkElV0IrgWFAQID2FU5Z4pU92pe0Dbi7RCIyISWhUiAhDHxAUFaKBk8x8pAptD+/EgtJMV9AA4HiZRFYGIJpYJoGhUIhcqIxIOPYlApFYjGLkvJxtEQKExUEWIkYPV2dSDcgfcwM5OYdJKfX8vw9j5Aa04Df2Y90LFontqLG1dLx/AJaTruIdXfcTFMmTc/qLUz51Gfo7eqi9qBT8Iu9bPnJtcjPXEe8YyspJ46sS1EpFKltaGZ7YRM1OoVMhIz98rdR5U6Wf+/b6IJH6qxjKdfXUj97HHUihTVpEm53F6q3h+2FhWxavIHGiSOIl/oxZILVj8xHBIKGSSMQTcPwNrahcgGeq1j32POk0nFkwiaZSQ7F4bTKfoIQgttu/hVnnv9eHp/3FCe/8zxuuOZqrvzUJ1/VUbk73Hnfg1x21VfZ0dPL+LFjeOi2374thC9VqlSpUmVoOPnow7n5O9fxwS9cw2/vmEvb5q38+lvX0Dpm1Jtqb3tvlst/8Gvueeo5AH54xYd3X/hSpUqVKlX2WWzb5t6/3MaJZ57DkmXLOfrk0/nht2/gox/64JvqqNRac9Mtv+ezX7qaXC7HrBkHct8dt1eFL1WqVKnyf4j3nXky3X1Zrrzxx3znN7eyemMH/3vN5xje2PCm2tu4eRsfv+ZGHlu4GCklv73hy5xy1Jw9nHWVKlX2U14Avg/MHXBZeZjIDeRfigxfWz5nd9Baf/uVf+/CtfTnBz6v3yl8GWhngRDiZ8CngY8S5f/WGRwXliFDa33Na0a9CHxTCPEc8CBwnRDiF1rrMpH+Al7ndx5gr6wQIcQ44DhgBOC8zmxaa/2NPRp3iJxfQqIVq4E+4DSt9fNvsq1/ENW50sAorfXgv0b2L3h05hwttEQYCuFYhKFGmAK/4mNLIxIvDLi5QOT2orVGC4WdtAgrChVEIhftB2ghkDISaCAjQYwQBqNnjCLb0U+5UCRwfGJOEi19wrLGlnYkrjEgqCi0CaaOSrpEywu0CdIUJGyHfG/hVaWXIqFLFAcnKrljKPOl6UIJtKMASW1LDTM/fzELvvZjwpwkDDyEIXFiYGXSpBI2nWu3EsYM4pkUpqcpZ10sW9B68kxWP/gChgYrHiPQHkbcotJfJlObIQhCSm6ZEZNGogoBhb4Chm0Sa7Qp9ZdIWEnqJjRT2NJLob+AV/HBMrB1SIjATlt4WZcwJok7MSxM+ruyaKFBDbjqGJLa1gYK5SIpJ4FMmHhCY3qaXEcP0jbQgaauvoZ4Y5JtbV3IisIwbFzl4TgmYdrC9APCriIyk0CYAjtmYSRs7LRNubOAW6wAkBrVQCaRRI+tZfODi/CCgKamJnq29xJWIseXMAxfcvoBUOHAF6EQUmLHHIQtSCQSFHaUaJyQouHo48le8HHGqhy0d5ALyyzLHMzhrEdbFvk7/4w0fIz/uAJ7xXycEWPozPYTP+BUMtueg3icp8UYDtFlXpQwtbiZcNhYKo//hc57H8GQAemDZ1F31vsxd3TjPvN3cls76O3oI9dbQmifRG2KQsnkwItPIjHrBDprxnHT02sJzDrWb+3k6++cTNJycG+5gaDo4ua7aDzvUsT4w4j5XWTJkK1Imp+7mdoJ02m74w/QWyJEEAqF7ikRjqqlIZ7Aq7j0rdiEH6ioRJQQCKkRGIRB8PK6UwopTIQRbbuhDJAYJCbUM3pcK1lTUHh0Cb4GM2aQ681jDLguvXRSFoJIV2XgxO1IEBYzSTbWUO4vYqRjlLf3EZYC7JiFDgEVYDXVwI4cKhnDRlMeNYIa06e4uZugHCCUonb8GOqPmc2Lc//BlEMPJD7zCNrHHsP8tj7Om5bEVCkWf/rdpBsbEN1Zhs2ZSu30g+lZu5j81j5q61LgmYSVHDs+/CXqMzXUdG9g8403UMiXGT5xOKUJLbTOnMGqn/6O1rMOIzbxMApPP0YuX6R7XTuTzz0NHUvi25K2H/+C9Mgx9K7dQiKRIohJvN5CtA5MRaq5nmQ6QXZzNwfeet++fZWwL7GPO7/spFQq8b6LL+Gevz0AwFGHH8b3bvg6Rxx26BtfBA+4gaxZsYxrv/tf3Hb3fQDMOmAa9/3+V4wc/vZ5q7vq/PIWqTq/vH2pOr/sX+zjzi87ueuhR/ngF75KqVwhmYhz3Wcu5ZIL300yu3WX2i27Hn94+Em+/Ms/0ZsrYJkGP7nyo3zsrBPfXKJV55eq88tuUHV+GWSqzi9Dyz7u/LKTvr4s73rv+3li3nwATj/lZG78+rXMmjljl9tYsnQZX7rmOh54+BEAjj36SO6+7Y/U1dUOSs77NNU3z/cNqs4vL1N1fhlS9nXnl5386o57ueL6H+IHAXWZNN/67KV84OxTicder6/v1eSLJX71l7lc+z83USyXScRj3PzNqznv5OMAEMnMYKa/a1SdX94+VJ1f9imG0PlFEfWd7+yP/3dorfUeM8gQQmhex/lFCBEjKrvjAGO01ptfM/1Y4Angca31CW8xj4pjSKdw2ZlvpZk3Tep//4Ybqtd1wNkTCCEWAocCJ2qtHxVCvBO4G1iktT74dZbpA2qBjNY6P1i5vSJeDPgl8P6do/7N7Fpr/ebenn69+HtB/ALQD5yutX72TbR1PnD7QHsXa61v3mOJ7gb/mDVHA2hDEhgB9Yk0vgiplELMUCNtg5Ln42hBOODsooiEKCEhtrRQIegBx5WdZYYAkBrDMBBCvCSQEEJEzixCISxIZBIUe0oQRh3/QNQZP8BO8Yskmr6zBMvOciw7Y0bHI0XLnAlUCh49W3qQBRfXVEw7egYdSzaiyuBmKtgVi6D8chAjJlGmwsHGrrHJHDiWVCZJ95pN9G/oJvQjcY3WAhWEUQmnuBNpDCyJg02hVEB5GkMI3DDAsgyIxzBliKEksdo4WigqeZewEqIGxAlSgiNtAjMkHo+Tz+axsJApgUKAC36pAgjCwCeUJsdcfh5LnppPvWHT07EdY0Sa4rp+TK1I1qWpba6jY9UGRr9jFk1zjqayYCFrH12MH/poBKgBR56YgeVIFJJKtoIhTOIxi1LgRetcSkQChh3QQthXobttO8HO0j5aEHg+WoVoNVAWS6iXxEiGYUQCBAmOMCBpQcxlx9SpnPbp6+ivbCOZGMmmh26l9cCD6Rt9ADYB7lN3IGnA27KUpuNOpTT6EDqv/xKJ88+lsXE45eX/oLxgGcM+dTn98x6nZuJ4ytNOQS74I2Y+T3+ykf677sYteEy98Wtsv/X3bHlmHZYM8V0P07YI/QDLMKKyWqZm9sfPhalHsDEzhaQVZ12+n+VtWcy4xQdayohQgF3DsrzDst4sc0YMY3StSbq0Ff34Paw/9uNMKq9HPfhXupZvZFv7JhoOmsKod12AXz8SsfheTCfF1nsfpXNzFieEEB8rEaPiKSwVWRZLw4gEL74CO8SyLJQWmLaBDhWObWEl4+S6+xAYCAu8Uhht+1JgOTbKC0AFBAhMGe179VPHUCn0E0vVEPbm6e7cgZYCI7BI1GimnHYCWElW3/0gTTNaqW+dSDisBmNYAz3PLaTr0cX4xQrxmhSGsqh979nU5LdizJpDuGwJG4++iMTa+QyPaVZ+738JENSMqqX1y19j3de/wcRzT6MQs8nd9QCJQ6dSO24a/vhDsPJdvOAP56pbn+XXHzuNMUYHwfLHEbUTeOGb11NjxZjwiXchpUmYGU5Qdmm784+4W3MECqwxdcy64EIWfO/HpJMpKv0VEnVxzFSCCQdNo+2F1VT6c5AwKXXnmXPH36s3/EPFfiJ+gegc9Oubf8/nvvwV8vlIZDB75gw+/uEPcMyRRzB96hQs6+XOdaUU6zds5JlnnuXmP93OI489AUTH+6uuuJSvfvZTOM6uPSwYKqril7dIVfzy9qUqftm/2E/ELwDr2zfzsf/3dZ5Y+AIAqWSCD558NOccfSiHTG6loebVZYv7CyVeWLuR+59ZzG/vf4zeXLTfHzRpHL++6pPMnDD2n2LsMlXxS1X8shtUxS+DTFX8MrTsJ+IXiEpK/PDHP+UrX78ed8C1+agjDuejH7qIIw87jCmTJ73KwTIMQ9a8uJYFzz7Lb275A/OfUI2lGgAAIABJREFUjsrUO47D9dd8hc/+5+Vv2vFyv6fa+bZvUBW/vExV/DKk7C/iF4Cla9bz0a9+i0WrovuF+poMH3nXGZx53BEcPG0yNelX3zf3ZPt5fuWL3POPefxu7oMUSpGg4bhDZvGrb1zFhFc4XlbFL1VeRVX8sk8xhOKXx3hj0ctLaK3fsQdj/zvxy2xgEbBDa930L6YngQLQp7Wuf4t5ROKXy896K828aVI/vW8oxC+3Au8DLtJa37ob6zerta4brLxeE/NHwH8CXUQlmdYDxdebf09rPYZa/NIJ7FzxeeAMrfWC3WzLAnYAGeBmrfXFezLXXeXR2YfpgXzA0ohRFi1NLXS/uB0/DLEyFgeceTTP/+IBVNzBkgae50UiEB2JWxTgpGK4hQoMyGPEwH3yP4tUomOjMAWxhIPvh2gdIgJJpVKJ5g+jfEL/5Q4l0zRRSkXOGAPfxc72pEQTMv2Mg2hfvAqvP2D0lBY2rN6KVD6mNjC0JIh5mMLGLXskk0kC5Uc5SVChRgAKhW8ZxOIWNekUPRt3DJTxiTpBTccEU6MDhdQSZSiEFuAItK9RnibRXEN9Sz19L3YhHUlNupZt27cgLBMLE6E0PgoZh5pMGtuK093WBRJqR9fSnS8wrGUY5D2KvSWUH1DMFqMSTlIw/ZwjWPXgAqYedwg71rXTOKGFDW3rMTsLWIkU2c4s6YYEZGLoskdla4FQvWLdE3XQmo6FcED4EmUbECpkCIHnY1gmwpRoEf1WBCGGIQgChQgFvh+gg0hA5HvR5ysfjkhTIE2JY9qMGddI4+f+k9BI4HuSYMk9iFM/S2ztI9xiT+Xi+DbKdS0UCpqM2ow74ngyVg5v2yqkXYv3zO1wyucw7/s2lZKgkC2A69P//Bo8aTBsyihGzprNoj//nfQBDTR96kaMWJJ4/0a2fucGdnT2kGmqp79tG1LYhH60HSUdG2kpxpw0nba+gJYrbqSsTboLBZ7d1M2tCzu4aFYLH2zJc1dfPWu7XLa7mhNbapnelGZC5UUqoeR5oxHTA+O6T2GXPXwZ0nDoFBrfdSHmsKnEX3yI/pJBzbBa1v7k1/R3ZzF9hYpLQhfkwG8jdgqHbIN4Oo4hJKVKGQPByKnjyXZ1k9vRhy0NaiaMIrutC79YJp2podDfj7QshNJ4hMw690Q2L1lBdlM30z5zCWt+cwstB81g6/MrKPflSScSmNPraP3DSJb/7RoS37kIQzvopKb+5HegV6wlXygQ9OTo3dRJUAmJ2TYyrbBax2FdciPe1y6lEhrM+taNbPdT2B2PU7jjL4w65Xj6XlhM3nLwVm1g4mWfZseiJ6hpPZCOW37H6HOOIjHpMFTr4fx8bZ5DRzVRd98NTDr2ZMorF2BmXRY98CROqGg6cCwNp5xKLpejftgIOh9+gM6n1xC6Hq0nzmJHX5b8mi04tkGypYnmQ6fTdsc8/FwZaWlCP4BYjAOOmoX9+e9Ub/iHiv1I/LKTjk2bufaGG/nTHXdRqVReGh+LxRg/bizxeAzP82nftIlc7mXBsRCCs04+gWs+92kOnb3rb18OJVXxy1ukKn55+1IVv+xf7EfiF4iuxX91+1/5wW9+z4sbX+3OO6apgYZMCiEE2UKJjdu6XjW9pbmRK847jf8873Qs8y2+3FQVv1TFL7tBVfwyyFTFL0PLfiR+2cnqNS9y7Q3f4s675xK8wmE2mUzSOnYsjmPjuh4b29spFl9+XmuaJuedew5f+/KXmDZ1yt5Ifd+h2vm2b1AVv7xMVfwypOxP4hcA3w/48a138OM/3EHHtldfB7eOGkFtJoXWmp5sjk3bX33PMnncGK784IVc8p6zX+UYD1XxS5XXUBW/7FMMlfhlb/IG4pchcyZ5SfzyqbPfbBNvidT/3DsU4pf7gdOBc7XW9wgh4kRVd97IWecJrfXxg5XXa2JuJxI+zNRabx+KmK9kj1ka7SLfByYClxCJVx4QQpyltZ63qw1orX0hxFNEP+yswUlz1xBCoANB0rY57IufYu57vkd6pI2UEOxQvPC7x8gMq8VzNMUtWbQwcOIxfNcjQIPSuIUKWihQGss2MEPwjeiNEkOYhMFOp5WXnVxKfRXCMEQnNUYocRwHITV+KUCgCJREKIUWioDgJUcZFQTRRZMQaAMcWyLrk9QeeCC6KcGGvy5iy9rtODJEGQLbNonF4/QXFNKEhBkjPSJDub8fZZokjARl6ZHvy+G4NnghqhSS6+8lFCAtgVQSFWqCIEB5CgOD/5+9O4+Tqyzz/v+577PVXtV7p9cknT0hgYDsCLIpgoCCOoroqKOo4DKjoz6Oyzg/fanPuI7OuCu4ICIDIjuyaAhbQvZ96aQ73Z3eu7prPfv9+6MaREYFB0zE57xfr051V53lqj4nVUnVt65L6AoVyloopOphmhZaRqcylsebKWGYFoHvk58cJ5FI4IYBKIUvA1rbWxgfnGRmYJpAlkgl4kjdZXhwira5DTTG6hnJD9Hc08bg4/tBV1gZi5liAVsLWPTyE5Gz9y+RThOOTKLrGUpT02gK3BkfdypPfVuWihCzo5Nq2a1A1YI+FeGx9IQl9G86iGlLkqva6Lz4ckT/dqylJ7Plc59D2BrVSokw0AiDAC1u4XseKgifOn9qHX00lB8QhiFGXEOLGYReQEBI/JILGB/cQ5OyKVdNdFMS/vfnUUuWc/mKFlQxzti//wsTh8eRSuO4l62h/LoPYg1PIYfXIV75Xg586f3MW7II88STGfuPzxOrGrjoeGGFqX2DNCzsZP7XPoNb10m5lKRer6Bw8OsSLDp+Ob23PIRfUeh6QBgE6LqFg83ClStJJlupqwyTVB5Jv0R/1WXzYYc5dV3cuq/I8cs76VIGFb/C0ECF1nQczXIpGM0kh3ZyXGyCA1/4OnapQqhLTvjIezj88P2kMxa7VYyFC87GiNdTXvcDmk9cRrh2NyL0KOYL6LogCCHUFMIQhKFGpq0OTUimtDIL2+cxuOMQYRpa5y1C23KAeCLF8PYDGGmLRHM9sZ4GdDGHTMsSzDCPj0t53jIKj2/A0nT2ffE7oDsETTm0oIrZ0kjLwvnMvPkTqDc9Ctt/yIQWZ3BolFgywdj1d6C15Zh77HJUqYomLCb7B2hb3cP4un142/dS/NBbyM1vZM7LL4PqKK1ijLFH1xHLJXDbO8imuwjX3YVen6X3hmtZ9OpLmRoexc7lSGYacWeGMe0Se/f10ljup7l3H4dmJrF3D9GwuoelL38Jw/c8zMiew2jptehllzEkwcQkskEDVwfXp6GzAd12scs247v6KWwfIbE0h8xL7AkbPWdhl6v0Hx7kz38pPBL5na7ODn74rW/wxc/+G9f+9Gfcfve9bNyyhUKhyM7de35vWcuyWLViGee89Aze8YbXMLez4yhVHYlEIpGj5dneKNeAq95zNe9893t4YM1afnjtdTy+ZTv7+wcYGJtkYGzy95bvbp/DiSuXc+WlF3LBmac+p0/kh4NHMNgSiUQikaNuyeJF/PxHP2R4eITvXfcj7rnvATZt2Uq5XGb7zp2/t2wikeC4VSt5xXnn8PY3X8mcOa1HqepIJBKJ/LUyDJ1/esvref+bLufOhx7jJ7fdy/rtu+k/PMLBoWEY+v3lF3S1c9LKZbzlkgs4+6TVzz4yPBKJRF58nvzE3J9KZJWphV9S1Jpn/ElCiB1/5CYT+N2klb8xQogm4IzZHzcCKKWqQogHgAuAy4GvPmO1y2cvbz8iRdakgHuORvAFjnz4RSml3jXbCeZd1O78XUKIi5RSv/0ztrONWvhl7l+gxudMCYGejUF9hvHHN9CyKo477ONLUMonFDrT+VJttJFhIlyfwPORuoYEAt8Fap0/9JQGEspFGz3UEULgBS6S2gu0YRjWwjZe7R8/miFBQGh7+LpEi+m4vo8mBLGUie/Vlg99H4kglBLTNPEcFyUAJJKAtpWd9N33GwQGnuMThj6mbqBZEtOKUSqUMKWG73uoAKYHp/HtKvWtTUyPTdLQmKKpq52piTydrz6ZybU7mRoZJ00cu+IgvFqnGZSGQCB0gdA0pFKEYYgvQfg+uqkjNQ0jYRK6AUIJzHiCUn4G0zQJUKgQxg9NoNyAAEk8JilaVXzfRzMVmaZ6Dqs8xCWHtu4nCD10zcCeqpKLJTDzVYKMSfnQFGOHRigOTJHraMHPe8SyWVLxGKOTo9Tn6rAnbQxDx3NmRx4BOgJhalgGoOIs/uLnmfnSFzBMC/PQLmSqnm3zV7Hi2z9FDu9m/5e+wtTBCQIhCexaC91a95jfdfMR0kdRG5WEkvhVl1gihheGFB9/mNZXvAxS87m5Mo+L13yFkb0HaSpUKD/4AHuGhvAPF4mFJnbaxz5mEcnJLQzdeiOuITAObEM/OMGElqKhq0hMJqlf1Mr44GEStoZbDajMW0VCy1GpQsaS5O/7Gd72LaSFxbafrcHQfBL1aexilVAAlkb7kgVMu1XG165Da2siLA7j1TWx2phi79w6vnjDNlYf3045n2WkXGTKdRmbKXJifT1FkUDe/Z9MSIP8rx9HTXvoEhp72qgqDyPQ6b33LrqaNmCf8ha06hjiuIsJTzJoWrmdgX//d0zLwnNdMnW1tLsja6GumcNjtCzupqmjhaCjh+Unn0x51z6spatplib50XFk2sTIxnGqFRbWL6d64dXYgw+T8NuY+O2DDD74PbSSg6pLo7k+wgVj7wCZf/shPed9EGfNCOL7H8D9yZvYecMdOKFPIh7HiFm4xSoNuUZKrs/o2g3EGxrB1OnffIAwrZPt6iRpGCTOOJ/CMafS/PiNzBSGKfQPE47PML3368y98DzS7Yvw/IPMzBS4t+5E5nYZLAkddn/7Ruramxgduo4PnbyKyvpRmlZ3MVXR6D5/AbbUSRQnKAYBgedT3nmYTFM9k/sH8J0yS977ZvbfeBtDOw4gDY2OYxZTKc8QVlyUG2IUFNnmFg7P9GHmEvh2QKFv6sg9oEb+pjU01PPB913NB9939VMjjg4NDuI4LqZp0NTYWBuFNPv/+xe8y0ckEolE/qYIITjnzDM4+5gFAEwXiuzY10upUq11KozHWbZgPo31uaNcaSQSiUReLObMaeUTH/0wn/joh58acTQ8MorjOFiWxZzWlv8xCikSiUQikT9G0zReddZpvOqs0wCYyE+zs7efcrWKlJJUIs7ynrnkMuln2VIkEon87wghFgKNwKRSau/RLGX28k91kXxhk38v4iChEOJkIA78Rj1tfI8QYi7wEyAJ/OoZHV6+TC388nEhxB1KqX2z65wCXAUUgO8fkTtQswM4ai16j3T4BQCl1NVCCI/avKcEcIcQ4tVKqV8/x03kZy//AjMHnhulFJoGXrlK7+6DaIMT+FkgJZABGIZJECjmHdPD9OA0+clxvFCCChE+IBW6YRAqHxVoBIFCw8DKpqDs/d7IIwApZ79XAqFBECh0VxJKAWFIULWJxWIoUyHjOqZT6wSDlARKoRS1cIxpEBoh0gdjTppwvMzAzlHiIgBLoqOj/JDQDqj6tdiH53lIvTZWKfBdpGkxPTFDLJsg3pyhZLvocYO9N/2WREsddS1NFIbzaIaOYUjsahXlK4QUGFZt9BJKocVMUkg828Et28TiMdySi5mM4bs2ZbuIUALfD576Pfi+h5JgGQZ+CPGSQMRMuk9dxszhSbqOXcDeXz6GchXS0LFScVABKMnI1oPMP3k5O3cMIB2BTQU1EqCHMYQmmZ6ZxnINJmcmkboknkriVp3asUYjiClyaQuyFtqyTgb++ZO0nncijRe9hsJ9N5BpaabJ9tH8GcrbH2G8bwRCHRF4hKL2In0YUPtdUHuUF4aGmZC1kVihQI/pBEGIQnH4iQH27/oO8bjF2U0tHJqpoOoT5C6+guDALpK33UHZr0Bcsvj45cTq2tn8tf+LVpHUtzbQfOxLMF6zgkApwtF+Fn7gGsTBA3gmzGzvx2jMMvqdayFzHWHRwe3uoNA/ilesoCNoaktTmpjGLTsoAjRdEFZtejfuIdmUZslFZzHiKfRqmV7RQWe2mwsaLMYunM+5C9rYO15k+9Aw444kZ1QZD5M0lbbinXsF8UBDDyX5dRsoDkxRnZhm6OY7QdnIkSl6xzdQNzBK68tfxUN+G46ZZv74MH4YoJSLrms4notrO/iGYt7iBUz6Hp2XXA519VD1QKtgrchy6Ibr0YwkYbFMtr0Fp1Rk/jmnwknnI37+edyJMr1DI/S89iIG1u8maSYIAoVnwNzXXkzX5zfzvVXbSSxcydgP301ibDu9X/4inq0REyGBBVZMZ/5Fr0JhYEmH1Ktfw+EDO0hOTLLg9Rdz9TaTd73xEpI3fJLJZedjfPnjDBTyKKHINaeYcRzmf+46phCkNt1Kk5Ol9eK/Y2b/fSQrM1i5OrTuBg73TqInY0ys3cKqN5yD7QS0rFiB2dpGuPsJdj20FYsE6JJszxwObtiJCiQEgm3/8SOMXJzUina6li7jwC8fpOO4Jagun8ObDxJbPReETra5nu4Vi9ivduPkXxztRCMvLlJKFi7oYeGCnv954585CicSiUQiEYBcJs1pxx97tMuIRCKRyN8ITdNYtnQJy5YuOdqlRCKRSORvRGNdjpeeEIXzI5HIX9bsCJx/Bf6BWicVgOuAt83e/lZq782/TSm1+QiV9WQnl+SfWObJuWjP6VOxSqnlf+h6IYQNWC/yzi9LgB8Cw0KIvcAI0AEcD8SoBUve8fQVlFL3CSG+Brwf2CyE+DW1LjjnURs/dIVS6kh+2v2LwE+FEKcqpR45gvsFjlL4BUAp9QEhhA/8I7UE06+EEK9TSt32HFZvmL38X8/9er7CMET6EqUU87vbKAQuetVCj0lCz8O2bbJ1GXqf2I+WECghMHSBTOv4VRccDSNm4NmgJ2uBkCBwkK4GUtXCEkqgPIVStS8pJQGK1gWt5Icn8YsBhi4RcY36XCP5w+M0d3Xg5iRjW/vRJGi6JPBBDyQBYMQkiY4couITm9+I4wZkWnSsZIbiYAGhQFgGIgjQhMR1fEASzr4fKTQNQQg6+L7P+FAep2RTJcByJeWpPBVT4lVthF7rOKNJDT1l4Dkevu+jx00C2wMvxCMgnktQzpdRroumaYReUNufIWqhGwV4oESIKRS+YeKHIZbUWPGPr2Pnf93CwQ17qHhVpqbGSdQlsYsVNM3AKVSQcQMzLinYJbav2YhbdjERaHVpDCvGzPAksVQMp+hS35Fj7qJl7Fu/E6di1451UNv3/BVLcRo1MlXB+MAA01OTuD+/l4Zlc6lc9ilMqUj1rqcysJ0dP3sA04jh+g5KCoSSqFABCqHPdu+REkSImbagJAi8kMD1CIVA6BoVp0zM0Eg2xIjnUiw55ThiJ59Lua6TbC5Nwi9x4Lq78fxpYiefSjVUJDNpAm8a/bhjqCw5h6A0RLZ9FRoxlDeNSieJBYL2U49jzyObCVH4h6uEuo6ztY9QgBEqtJhGaHt4noKYggBCVyENRTKRQuoa5steQ1u8FV8PWDy1H8/oYqjg8vcnzEMLbOZl45zeNp+P3N/Ljl0Fqq80GE4tYbwkMDWfuef9A65boXToUYoFG6MyghCC7JxGdF9hHhyk0nEM+tsuJzvtMKMUgfSI6zEC30WpWjed+kSamb7D5BbNhYYcw7deT7ahkcrAKLFEAs1IMn1wCDOVZPFp3XDsy6jMWcHmT7+VlKNYcPKJjO4/wJYf3oiwQ4piEt2o57bzruLTn7sZy/MZqV/B2I+PYeqxWxi9/RasRIxkaxonP033JZcynY1x8ZoufnEJTDeupGXgt2RPOp8N1n1srDuP/zxtA0oMMfb2j1H3rU8St/JkL3k5B+6+nfH+CXKL5zL57x9BpHSsVS+Bc6+kLz0P9+brMd/0Lnq/+GmcgWmkUHQfvxg79NnxiweZc9oKxD2/xlq9kMRUCefgNKEXYh3XTv+jOyApSMdjJJvryB8cQUOi5W0m9veS6G6md8sOvKJNKDVsT2E2JZFSsvGOh2le0gGuTyQSiUQikUgkEvkb0/3CDTd9tnFlkUgkEolEIpFIJBL5yxNCJIEHqYUkRoE7gIuesdgaah1AXg8cqfDLodnLjj9042zdOWBaKfXCvO//4g6/PA58EzgJWAacRm0s1GbgF8A3lVLVZ640m7vYDFxDLfTiAfcDn1FKrT1CtT9Zyy+EEB3ArUKIrwP3URv89we7/yilDv2h6/+3jlr4BUAp9SEhhAt8BLCA/xZCvEsp9YNnWfVcai2Q+v/SNf4xuq6DLuhZPJe+XYeQho60BKYRQwqdwPHJjxWQYUBY0EBKhBAEeQ8QSCMkmU0yE04TBAEEYFgmnucRipB0ewbl+ZRHqrXghKyNMdItwczwNFYihqDK0pccx8ThETKZDBPj44yOTGDIOKl4Att2iaVNfAt0X+A5AUiJX3JQWZ1sOWDq0DBu0cbLe8Qb0gS2C56irq2ZieFxhFbrWBJLmmjSoGxXMUwL27YxVYhqTVPZP43lGUhT0tDawNThCaQhUWEt5BGGIZ7t/i7AE3ooXeA7AYal49s+mlE7FQMVgh+iGTpB4CPQcEVtLFJDTyvlcgU5USFE4ToBm791C77tolsmSTOB4wd4Y9NIXaOho57JsUlkXFK/opN0cwOHH96OO+3gS5C+olSeRgiJU3So666j7arLyXkh/Wu3YxMAtfsvgpD963aiSUXluG4WrT4BsXiQ0UMT9N9xJ+43bmQsY+D6DuGYwPMclOcihQAla91uZreFCGdHHoFSgqpnY8VjIBx8T4AQCCEwdGg+cQmlPSMMbtrD8qXzCXc8QXJJSCHdRbxtDsf+3cvZf/sd7LnzXvxrPsvg33+OxbF6ysKGXdejHRyldNkJZOw8DgHBnj1M9w4wpQbxdTA0gzAMUU6AEiFKhKR72vA1RXX3GMQ0so1ZZkZmQIUYhoamaVTzZca/+2Wy7/gkJQNGVDcTQy4Sl2TMYOuhSbpbGvjPe3dzzoou3nlaG42yRGK0l0xrK7KscPQ6YideQF3/CPmte8l0dWEPTjDWN4yOYPTAEO6bX0NdtUxgmnjVAKkE0lBYqRilioOVtIh3NdI6txt9cTfs3kxyyQKm1z6BEU+w97EtWLpOfFEH03v6Yf7xBOURVCFLODRJVY9jd/Uw7xWC/Tc+gLQkcs48zIYsr7voYkoVnc+kdkDzGG5vP6M3/4pExaPglKnk0qz+yGfhge8xkXwlt74+wa0bh7l86Ra+siPF6Z2tdFz+Whbd/TV2NK5kbW+Wk3uv40P633PvGzT6Hvw5pqYjK2WmN2wj3d1BJlfH5p/cRuyeO1Fjeep6ejj8n5/B2TuC0kzMthQl5VHqHyaQ0LdmO1JBuHkPOgIJCEuwdOUK+qc8yhN57GqVsCuDkTDInLyEYv8wGctizoknkNu2m6HNe6kWilQ3HmTaD2pjxDIm0/lJek4/4Wg8vEYikUgkEolE/obEe45ap9sjSpvXebRLiEQikUgkEvmbJZKZo13C0WUlnn2ZvzDxV1BDJBL5kz4CnAB8B3i/UsoRQoRPX0Ap1SuE2E3tffb/c4Tq2gM4QJMQouMZ43oAVs9ebn3B9vgiHnuklNoFvOd/ue61wLUvZD3Pw1Zqk3w+Nfv1xyhe4LzKUQ2/ACilPiaEcIBPztbzPSHESuCflVL/Y/6BEOIKYNXsj0e8Vc6TlFIkUzoTlWlEVwpvsISq+LjlEiKoPZZIpYBa8EEoBUIg9VqXF+VLJoYm0DUN3QQtF6OcL2CYJoEbUhyeIR6LIYVCqACVtNAzAunp+GUPHIUKYctDW1l6yckcuHUNoYCEEMhRl1K+ilIK2xG0z29j4sA4zas7EV5AaSJPw9J5mI1ZKjsPY2QtlAsJ3cRsS2Nl49iOjxpTmLk4WiUguaCRhG7C7iEc5bPgpEUEcYNisYijLJRQBKFL8/I2xobGMISkLENiCHTNJJazKBSLxAJBaCtcAgTyqa42BCFC15BSooIQoUtMzSKRM1j1/isZuu5WWs86gQMPPoIwDKrFEgKNoOwgAh+labi+iyEs/FAhJUxMTJOd20hm1Xya5s/j0P2PUCxXMISkeXEbY/3jyFBDCDDaLeq75zD2k3vY1z+KrwIk8OSzgtIkElChoLxrlD39D5DoytLS0oTnm7RdeBJbr38QDUnoB4gwrAVeNA1FQO3wC4RUKETtfgIYktYF7Xhlj+mDY5iWQRAqYsk4mY4042u2MmfVQiZ32Ry4/zGsl53GHCvFgB2j7eB26s66goQ9TkfnPGJOHz1mFpHLsH/EJbXqCtLTP2D0Bx9DGVDuH6T5bW/D3bCeVLKOmYFhkm3NGEKSr8wg0RA+5PcP0rK6h0qdQVNzPeXRMlooUcLDUxqUfTKGxCsWMav7SFZzlLQuHh2aJJvN8qMNm8jVN+McnGD9/ilWLJnD7hGflUmFPTHG1M+/QzydofGy90BSMdA7SfZVZ9O+eCmDP7mRcAJIGjS1NTA6PMaKf/04B770LZKaYHpwCiMXpzpVImHpmKkEojNL38hBwg3b6D52CZPb96ILHbdYpO2cE9BOOo/c3Xex4IMXUm1uxZzuZ/Jzn8bQUriOT/8PrsepVAmVRdvSVv658e+48b9+inPTNWxY8w0GP3sTlfseof3lL6XrorMo2jN4d2/FDBy23HAt7ZUimc5+prfu4MK2VgqVKm9YvZifbdjAe2P7uOi3Id9Y9mteM3cvx9wpWHv+rYTTxzD32HM4rN2Dl8uw4NIrcW+7iX2PbSLZaJHqbCB55T+w+6tfYt6KRRTjI2iews9XaG3votzdTe9P7gIhCYNgtisUxOY1YRRtdv/0Pua/4RyGf7MewzDQE2m8ZsHh327BysTINzWgT4wRNDTQ3NhE32SRsnARoUamsxGnUMQQBpO9fUdvtlwkEolEIpHIs/hLdJx4Lp8NCp99kb9wCY31AAAgAElEQVQu/Qf/4NVPhjWCgwPPaTP/r4RYIpFIJBKJRCJHzp8MVERhi78uZvxoVxCJRP601wN9wNVKqeBPLNcPHLHZ0UqpqhDiAeAC4HLgq89Y5PLZy9tfsJ2+iMMvfwuEEBcBN1PLfYxTO+fKR2r/Rz38AqCU+vRsAOaz1Dq6vA84XwjxKeCXSilvtu3RVcDnnrbqtUe82FmLLz+emV2HmT48g1uoItBQSiFULfQQhmFthE/4u5dGxWxHD6EUKqgFInxNEdghMadCPBbH9UPihonn+FQ9h1D3WXj+cjre9BZY/wS/+cZ/Iw1JsiFB8bBHW3MLvXc/RqBrxDBxbQ8NDQAtbWAlTMp2lboFTdj5AovOP43dd69lbMcB3OEqiaRFNXAQuobIWXgVm3LgUJmYwWjOkG2tJy4l7ct7OHR4mOXXvI7Hvv4zDjy8Bz+toxU8UBKJQCTi9K/fi4YgVpfG1BRGfZypA+O4Ew4NbY3o3RnG1w/QUFfH1MQUQegT+hpGyiT0FRqCUIDUIN6YoOPdV7D3c9+hblEHe669F88ICEsBZsaidel8CkNDLHzvuxF9e1j3k7uw4hahAc31GfwFrbStXEy87LP/R3cyNlpGeD5BEDCw6xC6kBgxC0d4uCNl9g1sRzc0CGvhJiFEbbyVJp/q3qKUwi04OAWP/OQMScuk0j/G4U19mEJDGAIzZuFUqsjZtlpKKYQEXa+dD0KTCCmQSrDwJUvRW5IMbd7DnBN7GNvYj66D5zsUDynmvv1SGubOQ7/lXlInrCB+wnmMWmnmlwdQfgLGh2lesJLhn99IS89m6k4/D398N9OpU9GMLM2nX06i/98plQM63vz3+G5AsrMbyg4N89vJpXJozZJ8cQd4EKJoXtJJ+pglNPXMw0QyI02sqQKHHt9Ior2JUnEGM9uEmhMD2UixoZv8gTyuK7my2eaSyX4mjlnNuokZXnfMSSyuj5OtjiPHduMM7MZQFvnhIRq33U51+Rl0HLOAho52XEvi2w6BpggMH/28M5ifaKe8bROe51OaKCBTBpqhE2/JsuT9bwc/hqsJpof78G++h4PbduGUSyT1JKmWBvT2blLVMeS5JzPWeTbZ8n72/vDHUPQIw5BYwsL3QjBNhOExNV7i57dcy647vsb80mbsr13D/n2TLFjawsThfgpv/yr3r32C4z/9AZ7YWeBDH/sogWOxdEZBmGNhY4GbrzqHi68dZv31P+B7y8/koc9eSd1vvs74Oe9jpO0GvH27GfrlbXRd8W6y572L4hc+xsC3v4xVhtDxSTgx4pddxf6P/BMnvvW1jO85gKHp+G6A6yj6Hnqc1pOPQe9O0bNsJQceWE/ghWSaMvhSEW/JUZ6qMPrYFmQ6TtuJKymPjjPYN4QMBO5UhbmtjSSFwXRxnIrvIDVFtr2V0nCeQr5ATDdIWQmGNg/SfTQeYCORSCQSiUQikUgkEolEIpFIJBKJRCLPVRdw+7MEXwAKQN0RqOfpvkwt/PJxIcQdSql9AEKIU6i991+gNo7phRGFX462T1PLe7wV+JFS6g+OO/pL+asIvwAopT4vhCgBXwE0YAnwc8AXQkwAjdTqVdR+Yb9QSj1xtOo9dN8uKjNVLMNA0xTCCdF0QTh7/J4MPjwZeFFCgJQEQVC7A7NdQHJ1SSaCInOPW0RlaJLxoTzKB70uhj1jIz2L6bXDFPq+wui+IUwjQRB6VPJljLjO2NgEfhCQac0yM1aCmIbh+miaRufiLqbL0xQGpkmd2kLL8S/h0C/vZ+XV72TNp75CNpPB8RySySSpTJKx0XHimTh1bR2UxoqI4TITgwWkEBx6bD8oydCd22ujfARoBY8wgDD0MSwdbB/HgKWXnUTfg5uojNjoY2Va5rcghGKqbxJZLBJKj/LoFPFMHKVLQikQukA3AvxqgNAkga8ojZXZ94lvk+hKYxeqaFkNlQ+xUzrHv+8fCHN1tPg+ZbtIums+y195Kl4lINnRjMjF2fXjW9m//SBO2cMvOeCHJOsTFCYqiAACqcB2CAPAA6kLQq/2aU+hiaeOn1IKFYYQgAoVoVIoGaArnXLVQdMFEoFSIb7vE/pBbXTR7HY0qdfW1ySGqROgEJ5ASwv2PLaTRGuSrhULGJ4cJ3VsG9V9I6gAKqkA5Tio0XFyrzofKU0cXOJamkkjTuPxpzJ8w48YGx3CmvHQ3v1PbPrgp5izvIlz/88p2HIGf/dG7LEiLWeexMz+nQzfvha3ux617zCW0CgfY5FtbmXV2y+n77rbKToe9Yu6SbR1o2WacXc+TjpXx557HkC5UC4GLHzX+ynPP45QmATOFMNTJQYcnTetbiX/3X/Bu+wqPn3LY9THLepXzGFlLkRbdzf9DzzE9Ng4Ky8+h0w+hmd7xHJzmChOkO15E4e+/EmqoQtCZ8WF5zK+/CLGbJ3FQxsJNUGoBPFkjKmZKXpeeQalfJWJtXcz98zTScdjbJmaJCNNjIKHn67S+r5LKLgGYstatKZ2Mgd+zNCjj2BoCYrGFLFYHBUTLDz7LIZ/s4Gu04/BHy0w/JoTUE4/Y7+8mYn9o8QSIQd2D6E3JgkGD/LQmODjV/+IQt/jPHTjxzk9bTD4xFq44A3M/OKLJC/4Mo47gww0drwz5ND3P051/lzad97FLeJYzq1sgMDAvuFnTEyMoioVyjM2YcLECDWqPQswb/w2gVYLUc1s3U9o+6BpGMpjemQKOTaGVg5RnU20dbTiui7xlnr6Nu8hd2wPKEVpOE/zinnsu+8RssctQI9ZBNImsAVTm/eT1wVKk4zv70eTFpOHhomnEhglH8er4NSnqG9MH42H10gkEolEIpFIJBKJRCKRSCQSiUQikchzV6b2XvqzmQdMPp8dCSEuBD7xjKtNIcRjT/v5/1NK3QGglLpPCPE14P3AZiHErwETOI/a27JXKKWmnk9Nv0c+l76+kb+gpcAapdR1R2PnfzXhFwCl1DeEEFuBnwJt1EIuOtD6jEXXAe88wuX9Hnum1tkj9AN0XUNpqhZseVp46cngRC3oIkHOBmMCUGGINCR20SaBRHiKrleeQtPW/RzceADHDdEwUYZLvk1QVyqTbm+gPFwbT+OHPnOXz2N8YIigGsetOvQcP4/U/CZ23LSOMAw5tKeftuPmUXELkEvjxWM45YBHPvxlGruasafLGC1xEr7BWP8IZnMKd8RmdKqv1hlDCFDqd4EejVonm6c6omhoUoLvomkagVR4FZ9dNz4KukG2MYtICiYHxgiFQoaCoOQTi8cRzYpgukrzZWfTcsmVxPY8wt4f3cKMXYIgBClABWgpk2xPB0Yyjn3/JpZfdSGyrY0g0YRWKeIrl2Q5z/C9m0hkUmiGxeTO3WgDU4iyolKqgC8IXJ+QkMq0jZWJIRQoPyTekKA4MI2nBSQTSWzbJnADNGmACBFPpgNnAz9CCHRDEvJkRxeFCiVi9thqQqIEGDELz3YJfIXUamOcal8CXZcsOW8VvQ9sg5TEy3vsXbeDhGnQunQu2TeeR99vN+GN5un72X2MdmaY9+pLEBJMS8PLzSOTtfF3HMCvBiQ86HrLK1gre1h+wWL6frWO/suvJJYNyHS0YCaSHN68mVhDlsCQWLtHiS/soHRwBDeRwDfAmZogsWoexq5+RrbtomvBSkZu/SnJWJLRBzeQa29hsn+Uzve8gcnul/KG/3qAD71qEbrSaM1qZBKKnfkqF1x6OaUHfszLjrmadQeG+cG6PszMKZw+cYjqSB7lwpYb7iHdWU/Xmz/F3mlFw9kXIfZtpP7VZzM/3UxQ34TS6qkrDjN13dfZ/vgeqlIDUydm6Mw9/QQmig6N+3fT+9hetm/sxUpJ6swEpVKFEB/T1um741d0nHIGUwImf3wzCkGgQXxOHYZmMufCl5JatBQCScuSJfiBhzB2wm9voeGt/wiXXU7l+9+l+WUXUti2hQ2XfpyL3vhZrEARyilMITjjdV+i78aPkbOHeGibw6WfP4AMqhimZPwDTRQWn8h/jC2nc04TJ7UlOfemTxPkEjS95kwGvnkd3WeewL5frUEIQSAknucR27KP7IffQU/zGoYe2wgxC6WVAR+pDPwwoLhhPzKQHLr+XqQKiTflGN26F+HDxMN7CXQIghBnukjz8gUE5ZCmunqGRwqIhMlk32E8x0dTIKWOTErmNHZQLBaItyUoThWh4lDOH7EuZJFIJBKJRCKRSCQSeTFwKke7gshfi2gcSSQSiUQikchfkw3A6UKITqXUH5xvLIRYDhwH3Po899UEnPTMzT/juqan36iU+oAQYjNwDbXQiwfcD3xGKbX2edbzjEqizi9H2QRQOlo7P1Lhlye7tTz7gkqtEUIsA/4Z+Afg6YPFJ4DvAJ9VStkveJV/BmlIfN+vhRtCiRIC+eRYo6eFXqSsBSWkCFEKNCVRUkAQoEuDwPUIpWBw624GNg7gOzYhgoQpmXfZSdjTBQ7dtxXbjFN2SwgF8RPn0Di3iVxVY6ivDzMRI92QojhRpOuMYzBSBonGJJg+Vdumqa2dea09PP7FX6KbAk9TVAbyLHjzSWi5LHu/92s0TaM6WMQTAsN2awEXfzbIIwVSQBCGCCUJQ4WQtWCMFTOwVS30IwNQCoRmQOCTLxYxpwRID3SdRHMCJ2/j2FU0qXHsZ95BbEpx6IffYGLDDnyvdpJIQycMQwKpsfSNryA/PUVl9wArPvl2Ki6E6SbiVYft3/kuuu+DzOBVK0z5AdXAI65pqKpPNQgQfi2kEksmQFek4gmIm9hOkcqIjVPSQRcYvk65WEGbPX61kE/4+x18ZO36kNnOPiKkVnHtWCMESoBQEEtb6KZGYPuYWQPlCYQpiTUlidVl2HbXRprm5LAbLeJuwOT+SSpFm71rtyF27yNekSR0hZ6O400GOAf2Y556OqKpm20FnXnxNI2lCTrPPJ5d372dw9f9kvbvXUMmlkQGOmE8RIUx8GykkQUvZHrXECJfoSwVwf5RrPYcxYN9+OUcTWe+nsQFq8h//ePMO+FEiqHCWnUq3vr70H2P2DE9rPjEv/Afj5RprB7go69ezYqczl0HDvOhbz6ILRK87KXzuPCseex/cAtvznyfe9XpLO3sZs3GzZx/+Xuxhj6FsXuExoWdlKfHGPdMGlMCa8lqdn30aloXz0ee1YibW4D36xup9PYztusAjcJDSgOBwjA1Du/uZ9HbryKYOUAsoyOb05T3zeD7Nir0MfQYZtognsyhty9j5IvXIUyJ0BW6bmLqGnNPPI5yPIPQ0pRv/xm9m3ajqzgyKXGrMbKb7sFd/Qqsv3sryXfej/rxxZz03x9GfWEVHH8Ruyo5fvLwNj7w0nYensjw6s/sR9euQgs1nJvfBVMFKirPN3c18/VPfZDs0tWcf8kSvmTGKGzsoyXeSffLz2XvrTey4txzGRw/THt7O9tufRARszn4H99i7uUXYVZDBjbsof34hfiTJYaGhjB8jdAG3ZK0nLKU/oe3UBwaw3R9ErkMhWIVy9TxAhca05imiehuIcxPIQZGUKUqmmFS39GCH3rYxSq5zhYCxyUdbyDVUkdp7XYKlQKJbPKoPL5GIpFIJBKJRCKRSCQSiUQikUgkEolEnrNvUAuV3CyEeINSav/TbxRCdAM/otZp5RvPZ0dKqWuBa4/Uen+2KPxytN0EXCGEyCilCkd650cq/PK22cv1z2VhpVQR+CTwSSHEAqABmAL2H+m5UH+M7/gA6LpOEMymPqQEKWudUoRAahoohVQKVC0mEQKKADTwPA+kQBMCr6BhmB5W3CTTkKM4NsWBuzfgGwKh6XgSBBpYOqLg4u4bozK/G0GK6lQBJx7Q3FSHX/DQNcj2tNDY3sxU3yi+7zO6ZxthwgdTJy4TZJtS7Lz5UQzDQPkKpSCRTeFUqii/FvYIZsfCCVH7Q1LrJqHpAg1JaOn40seMWXi2g0BD03Qcu4phWWiuT6BDsr4eQ0B+ZoZ0W46O5Yso7htiZN12JtdsrHVaMSz8mEMmlabzzFX0PbSFxoVzGL3tcZxmgwWXvhKVbMc0FE5phrHd23BKHtNFhxghYRiACNGURhW/1mXHo3YsQoUXuhiaxdTkNLlcDmfaIRSKUAuo2BVierw2tioAISVSSnw/BJ/aEC7C2u9Cr42rQiqEkJgxC9d2UGGI0GQt8GQJgiAgkD7JliTFiRKhkMw/YRkNp6xg1/V3Y9Xp5F4yj2q5TDBcBE0QhgozHkdUBVYqRsPyLg49th1ppeh7cBOLSzb2eZeQ6ephWsaYM6cTmudQLd5M84kLGc9X2HXfE7hSgROgGQEt13yUWDbHhnIzL/GewNu1kZH1e5EjozR8+P/gb3wEzvg7VGiQeuImfvrKf+W8tjRv/e7jPPimuZSyEuuJJ+i98F/4+6/dicx7XPbqY1m/4yB7GnL8ZE0/rcd0MdY3ytz6Bo7/r+3c/s3rWVc1uengL9hUnuADk4t57+2DnHfpv3HOb7+O1AISi+pImuMMi1aGiknSTsDo1r2ErWliB/vpv/k+pNRocE0CU4PQQ0iBmclR3DUIYpTK6CQzM0UaNAuvUkWL6QjNIAx9UmYG7+AQGz74zwihiMUMGjrbaHntKyj396PP7cC851F2/fwWcs3NhFJHKknKiDPqTjKwdhvxrXuoW7QQddsbecud49z26DKCGzchxUYqegY3nGLTjst48Pb7iIuA7/3yWq648P2sr9Rx1ju/R0UILHkTKtnKdz55KRcN3Ejp+FehXXEcwa/+L/1rtmOpDNvvXYvnBVS0A+SaG5k+nCewbCYfWEt+eIJKxYEDQ/gGCFfiaj7p+jRexWFs50GWnnUi2x98HOGbpNsaCXcfwlUBzXNayK/rpWBKek5cwd7efYSVSXQ7iUgE+CpE2R5CQaazlaEntqNyCVpTKQhDNMukUog6v0QikUgkEvl/i6if89T3amr4KFYSiUQikUgkEolEIpFIJPLcKKVuE0J8BfhHYI8QYhe15hTnCyGeAFZSywV8QSn1m6NX6REQhV+Oto8Dp1ALYr1DKXXwSO5c/JVkSV50Hlj1EvVkhxdN01Cz3z85RSwEpC4gFE+NQhJCoGZH6Ty5LgAaGDENAolnexgpg8aORrxCFSsTZ3xoEs9xSTelsIfLeCY0ndbDzAO9kDbRLYN4Y4rCrhFkYwIjLlBSoHRJR10jB6fH6bn8IsYeWUdhQx8CnUw6ga+FeCKgrqOJqd4RvKqPEBD6vxv3YxgGSIHrOkgpkZaGrut4JbcW+BCCwK+N//Fnu9mEvk+gFJouME0TBWiahhbXcF0XKxTMfctF9P74XsLQI5QhpmWhd6bpectbSAz2sfvu35LqaEXZAZ1nnEK5IUNSQmXTJgzDoPfXj+L5imrZJfAcWtrbGB0eI2bqJJNJZqaLeI6PCCFdn6ZaqOD7PoRgxS3CUOEGHkHFJ0SRTMYJfL/W8QaF77kIJVBerXuPr3xM00SPzYadnjzO4Wx3mFCBFLPdfgShpqhrzlGZqeK6LrkTu6nsHaX1rONJFW1ESxZNNxl8eAOlySLOWBUjLtFycSojZUxL4LiKmBT4lkbrkk6qE1PM/8I32FHJYFs6G3ZOcMnUrxj98W00tSTY+dlbOH/dt9n+3ZuI51J0v+4SxJKXYJiCgBD/4duoWFkKT6yn5JRY+NarGNq4i1RbJ7nxQ+x/8C6WfuFbbJ9U3LRpnLe1HMZ/dD3zX3EG875v0xAHX0tSGOvFoYE3ntNOfSbN+sEi01MOTY1Z7r/9UbIoXnXFS/nqMpuZO37E5JYRste8gYeyZ3JBWw79zq+y++YHZrsmBcw95wyCpY2kp6uMrdnExPAEjhegAofAqwXMYpkYoiWFKFTJ9ixgctcu6hoaGeufIPCqEGhIa/bJTKrZY6IREpBMxml86QpKOw4xk59BVTxc18cUGqH0SS6bS3XfIMoJkGgE3VnioyWMuXPQYwE40PTSs5k55UoSO+7mjF/YHPzNneza9B3q8hN87VCcX/3qQTbdeit6UKVqeeRsm4OP/YBEsco19xRxywf56N7riAlB22knsWNDL6vmNrF7wxb8fBXPCxCGTnxODns0j3BrY9RqgSpFx4oems5Yzbbv34JyQuqXdTLRO0imvRF3rECYsgjGyxiWjjm3meK+QWIxC99xUdUAW1OgfIx4DH9eB5nQJxiZRMskmB6bwqwosvOb6Vq8gHFlM3TXEwS+ItOaZfH3bo7+lXCklKaiJ2TfA0DZR60j3nMmYqkXfqO68cJv86/V7LF+rl7wc+JFcI4dNbr1vzoXn/PfiVxL9LxyJE0djp5bnoc/Fn4JB/cduSL6X4B99f/p1xiCg3+wG3Lkz6TN63z+G+me9/y38Zz2s/B5rS47frf+0wNjR0V9W/S8ciRVZlQ09ijylOc69ig6Z14cojFWv5PIRs8tR9LkYPR/lhcLM360K4g8ya0+6yIqev79qyHaFh3R5xUhxOuAj1ELuzzdHmojhn56JOs5koQQtqVJq/zxK4/K/pOf+TFOEDpKqdgLtU0hRD2wm9oYqT1KqSV/Ytk3UxsrtQxwgceoHfNHXqh6ngshxAOASS0AEwB9wBC1MNYzKaXUOS/k/o9U55e/OSKUCFOiwpAwDNEMAz/0ULU2IQipqDVOUSgBmpCEYYguFCplEFZDRCixhMDsSjDnojPI37GeyaFxpOczOjbF4ve+lvzQfmK/mMFMm7g+pFa2UNk7SnFdH3NftozBgVFOuOJi1n7lx4iYRBWqhGGMXEea+tZWDu87RMeqeaTbOjiw99ZaoEOGFCsVNNMgGSpSc1sY3j6CISQhT476kQgZUnVclFTUrWhl6eKF7F6/nSBlsbClgx1rNpHJpZkan0YpIBQEfgAINF0iJfi+B0KCUnhFl5TUaDn/WA6tXYsbOFha4v9n786j66rL/Y+/v3s485R5aKa2aZsOtLSllFKgUAQKAiICMoqgV/EqzvhTUa9XFJkUkXsdcEAuiMyDjAKFMrVAoWM6J03SNHNycuZz9vj9/ZHi9bIQUYYK7tdaWbvp/u6zn5V9svdq88nz0LCoidiimex9ZDW8/DIdu7vJj2QYHh9n+vLFPPPAAwQ7hpA+H7qiYlsW0ZpyiqPj+FQNK6CTHB1DKA6K4iMznkegoAQk0WCcYqaI5vdh2w6u61DMF3GR+DUd25YomsAomiTK4xSsEj6fjmvo+Hw+0mOZiTCQ3DcKyXEJRkLk0hkUFFRV4Dp/0fVFn7j+inApjKRxXaiaM4lAeYKaM2ejjuYoGQX8tXPJde+ksqUJw9gFDpglg5DfB2GTYtZGQWJaLqorGNjQTbgxzuht19B41ve4/PFtXDF7mO3XP4miKKTGMkQdm3SsgikXnY+xaAU77CANmd2osSaCT96E3x9DdvYjAlVIO8TYnTfjpiVVixaz9eabiFdWsSUfZfl/3s3wtYczdM3D2OkClJ/O9RdP5vJfPU/Hi2t55q5LaLBS9KZtbtkwSjo7MdJJVWxmHn4gfVsHWL1tmFOHY/zywh9TMfIKyq52VrQW6c/ZrG5Zwdmn6mCkEdEExVQ/6fXDdK/ZhuNIUEFRVKSjgiZQVRW7VGLex86mOJ7DzuTJ7exkrH8YxZU4UkGPqMSqyihm8lAwKDoSVbggHdSpNYTmH0zyxe3oJQvLBk2qSFUgXEFhcy9SAy2ooykW/qRJZvGhxHdvo3XeQjqfeYGBhx6mdcZU8iPtrLr2q4TbNfpsqD7y6wQYIqfUoViC4887iw2vdFOKT6J8yZfxV0/ih986ly9On8vGtSdBWYKdmSwzP7UCxUoR3L2LbN5B1Q2q4mVkMwUav/pN7Bu+QzLvp5i30HyQ2TtK1XgWNRQmX0qSdExEEermTsMcH8fya2jCj9w7hhkKYAd0lLIQASVOqrMPn+IjWFlO3fJj2Lj0I3z08qdxIj5iis5DN3yA2HO/ZeSRlWx7ZR2zli5gIKyj5U1s2/krd0CPx+PxeDye9z9RXve6AZhXf/D/roZgPB6Px+PxeDwej8fj8Xj+BinlHcAdQogqoJmJ+RZ7pZR9+7eyd9H7q/PLj4HKv7VICPFjJrr+FIHHgAATY7COFUKcLqW89x2t8v868i/+rAGt+z5ez9segvXCL/8g4VNwVUksFiWfzk10aXAnxuJIHHw+P64tsW0bIUEqLqqusOiUw/Efcyjjjz1GureAMZKi5uRF9K16gfRYltppk/BpQayopPrgD5P91lcwAwq6LSlvrGa8awjDFoiCZCg9SqQlSu+2HdRMrUJxNDBthkbGCQXC7NnVQ1QPkOkYJLv9RkTBBE1B0VSEInGKBuUnHUz10qUUOgYZ7RxCV32oqko+ncfRoHx6JY6VJ7dtkA3tw1iaTlA3ad/2CkIKMmN5FCEmRjKpE2OcdL+GPxKkUCgQiofJprJE40F8ZWFEIsTwYD9OX5ay+jiFvEPd4pnkOobIdY7R1fc8rgWOBkvP/jAv3nQXUcvFkCrCdiamEOkaZibD1CPn0bdqPbgquqohhMAo2CiKgqoruAWVoizgi/nJD2cnOu0oglAgSClXxMhbuNImoIcQKoyPj6P5dILhALbtks/kkPbE95yiKEgpsSwLNw/CAkdxcKRAFRP7Iokwpmuh6zrFYpGyljpSQ2NMPnopdvkksqN9+CfXUdHazODOHipraiiEUhjPlbBKFoGoTnGowPzrrqX9pz+gsHMQO28hbRtfSGfSvDbwOcinbuTS2QvIP7OSol2gorWC2FFL8V99FmVf/xE9ei0vD5g0xkxeEA3MkYINc87k2c483/jgCMWK6eQL8OiuPqS/nE9U6zQtX4hv6mzKHr2OrnMbGf7B1dQctZQ9A90wNsovX1Zxyyswkl3MX/FFWqcvY8aSqbz4p6dpba1n5sxJVJe5hGMJOrfupqGhmczgXj5w1RiHLZrFFR+YjnBVjvrW7XzylIWMffDfyLtBNtwAACAASURBVJt+wtseJv34M4wPJvErAWxhoroqml+j5EiEdBBBhSlnH8/6X93D3C98ET2YpP6Lc1AffYhdq7eg+lRcFwrJDL6gH3dGJaEdg5iKg98fJBEI4TMcdMfCDvoJtiZwMiWqWurpenozmuMgVQV/MEy+lKbq8h+Rq5hCpq+Xvhfu5cz4R/j1xcv4dTZK67RGep7ewGWf/jk9/ju55JJzuPaGh3Ez4xx9/rl0JQv0d6+i48Ff0HLcKtoOXMJja/u4aO+DTDvhs4QKIzDcCbvWwEEnsv6sK/lQnUNh3UqOeCzC+g8MU5y9iDnjp/LhYxv4+Eu/xC/CFNM5ep5+llyuQEV9NcECpCvD+ENlBE/+FOTSGLaBKm3UQh9UlzH+0mYCAY3algZkbZTh9g7GNq7igAWH0n7JdDoirSz48BeYc9LTzDj8MDo2tDB276fhwd8RjvmY9rnz2fBfN+7P26zH4/F4PB6Px+PxeDwej8fj8Xg8Ho/n7ySlHAFG9ncd+4Wi/O017wFCiKOB84EbgE+9wbrlTARfxoAlUspd+/5+CbAKuFEIsUpKOf6OFz3hXWpr+/q88Ms/SKigSMhmsxNdXRwHVQiElEgXbNP581gjqdgE8ZNY2oL/nFOxEw0E1rZz2zW30NpcydhPHiEYC1C/YDK9m3biSo3yGVWs+cZnsPaMoZuCfFxHdI9gFg2WHreEZx95luyWEVKuSahiCKvgoFkOM888ktTKlxjsGSAgdGIHTCKT6iO9JQtSR+hgJhRmNDZStmg2O3f0oGxcja8ujtI7Qq5QJOgq+MICX12U0nCGcKKMrFXAVgVCOkih4vP7EREfMmdOBAcCAfKpHAHdh2laOEYJRarousr0w+ZSGh6iZsFCAksOwti1heK0IfJFg5ZAkHU3PYKTNnGEg20KpO0w7/gjaL/9AcobKsjtTlEW85EplSirjlEoliZG1FguoaOmEtqeZqx3BFVVcW0HoUosaaMFdcy8gWM4f075CQnFYhEhFYQmUaUOwsWyHHS/TnltGQNdg2iqOjH6SQUcJsZbKSoIiW1a2I5EwUVRtT/vcy2Tmsn19PUPEo6HKPQOE59SgxWtwtqygbKwj/YnniJeVoFSssgpJSIVVSi4YDmYJQU7V6LvyT/SMLeNxIplrP7xH1AUCFeEGdm8i4oPHkHP/StpwyLjCzDjkJl0bt5JtevSct655MJVHHPRL0iOZPjZledy86pBptS59Gdcjlh4GKc+sJOqKR0Y4/D0g09x1WVfQLN2ozXMIls3jcL6NdQ1TME+cIjlW2I8dP4n2aI3sOaCz+FOOYTIpDk89OvPM1vuoe703xCorsQX8DNQchkb0ZkRH+WBH5wLap6RoWZyapBLf/Eoi1ZBZUWEw5fNYMmchWwdHOLwcheR2stwMo9qCly/jS/qJ1wRI71nnEhAp2CrzLvgJHb84TGmHHcIqmPSv/o56k84kb1jY5R8Lgl/mEKhhCugfOF0Rl7ZQRFJNBqmmCuwZ/1W+rfsovlDx9A4eTr2+BClniEKwkDTQdV8lLfWMDYwxJYLvs1Fp15KwY1yxx9uIHnC51g942F0J89AYZR1W3Jcfd8jDEaawE3z06v+B6mqhKwSK2+7CdUNoLsJph3zNRAmt3/xUFpKnfRdtxZl/flo1bVM+ugXKMXD2D3rOaFpDoavgRUvNTCw8QHEyhw/URcTmT2V5rZZHHLTfOpqWgkc0ICWGqdhaoZ7LjwYPVaFePoxCstXUJRBfHs3sue3v0IvWehTqmma30bNskPYcN/juKpgwQcWUzN/Dr2PPYey+i6cmha2xzSCaYtQU5Qt995MPljGUT/bxO0Xnkrw8HN4PFli8qIZ++8m6/F4PB6Px+PxeDwej8fj8Xg8Ho/H4/m7CCEOBBYx0TFki5Tyj/v+3g/4pZSZ/VnfO+59EH4RQgSBXwBbgWt4g/AL8JV92++/GnwBkFKuEUL8Avg8cCHwo3eo3P9DStnzbpznrxGvBjT2axFCTMzKgUuklO/KF/6tWrVwiVR1BceRqJrEdUBBxTIMAFRV/XP4xdV09AqHw6+6hA3/fg1pdMprY4zvToIKUoDmV/CrCqa0afvU8ez5zRMUTJOKGc2M9wzgaiYaEYx0FlVVKTolKmdPwj/mIkMKZa317H1mM5aioyuA4uC4OvOvvgTl/jtYv7ELxfSBbRKaWUNFWyvFvQOUzW+j995nyKcNAmV+nIJFNBggm80y/8Iz2fjbu6FYIm86fx79o2gKlbUJRkeyuJaNdFxUVUUP67hRDc2nMXXuLPrbu8llR2hafgiRukaCx36U/G+vpWPVOhzHonryJEZ2DWDaBjMXz6Vz3TZ0v4ahwqRpDcQXz2Ps7pWEDmhmuL0bAiptX/oybqSG4kgnY/fdjbWrn0zawLEl0nb//DVXFYFju0gHXGmjCA3J/45wcd2JmlVNQ2oCTVcopotIKdE0DVXVMY0iSAUcUFQQuoKqq5gF68+voWgCXdfxRf0QUpjcNoXB3X3kxzLMOG0Zo1t7qGisxue4jPQNke4Zxl9ZTnrPEIqrYLom0hWAwKco+MtDZEdKhGp8YNtoIR81y5ahxwQDfSnKdIvI1BkMPvsE0YY6wqd/DTU/ij87xHD9YWxLqZz35R/zmYs/QjRaxuqOIe6/4Q5CNQk+f9GZfGlenLRTZJIoQsezkGih/w+/IdvTS3jaVK4+4PO4psEJB0TZsC1LfVUlf9qwleuPaaI9OIkWJUnwpu9jHngQ1UN78S08hP+3Mcp3T2kjM16i+IPP0vLVbyOjFYjBPdzqTmVgNMMDawaprYrRECpwwsGNLC+sZ+DuexjsTuFkM0hLJRwLY9oGekjHypmoPkHjsgXEZs0i8+QL9HZ203rsYnY/vJpwUxXJnn5sQ6JKQSQRwxgroAYVwgdPYeD5dvyOjlQkiqLgIKirr2TSiiNov+keCrZBMBZCc1Ss8TyxyVVEwn6S4yNESoL6k5bRGW0muPIhCp+6goGAyln//jtGercjpIrPtSjZFsFojPlLTuC55+5g9vJT2LTyUWIlg6IW4smHfspidtB/1VU0fGgFzniGgZJNoKmM8nkfIh+JMTo+xH3dZYjCALaV5rOLZjOumlQZIzwwGoDMCB1mOXOqw9y/tpv8QD+/a+slr6uESgUCbYdCQzO7r7mU7NZuAtEwPk3HRqHq0Omk1+0mPTiKarn4ahIgJSXLJDG9kcaF80nO+Sjtg30cffFNaMl+XM3BiU8le/M5UN7EdlNnfoL3VX+4f2q55P5/IO9v9sT9VZZy+7mQv00EIm//i2r62/+a/6z2Xes3621/T/yd5/+X8g++D9/090SixnuuvJuS/d6z5R3weqOQ/hFvemxSzzs0Xqmn6+9a7nT1vjN1vE+okxvf+os0v0u/HNU87S0d/uroL5gYD7Zfldd7z5V3UyEtMQr7uwrPPwt/6M2t894z7w1v9nr+KwjFvWfLu2lsr/dvlvcKX3B/V+B5lVn8m0uk9/z9pyHqp79rzxUhxEzgRiaCL6+6SUp54b79nwH+C/iglPLRd6uud4sQouRXFX/+e5/YL+cPf+c3GI5rSCkDb/W1hBBXAF9jYoTQHqAL2CGlbHvNugCQAvxAo5Ry72v2Hw48AzwtpTzyrdb1XuB1fvkHaWEFKQVhTadmVj3dGwbQYwI7ZSGlQLoSFwU16BKJuZRX1vLsZ36EKgXCcUjvHcVRIOAP4MgcC758Ie3X3Up4cg3bf/cEwnBxFIWBjh78QqGipZqR9hEC5RHM8TyhYJxST4aSaRNyo+xZswsXQfOh0+l/fgeBpgrm/Nv59PzodzgH1lA1vYGaC87Gvv1uCokKohUJev+0nrpPf430zU+g5EsUDAuEi+rqKJqPvq1bcKQNtkD16QhbAgo+n056NIft2ihIFJ8fTXFQFAU3B7ZTYG/7FipnTyVgVlB27Lns/eXVqJu3MbKzg1BVGUb/OPnhDK7r4pcKfZu2M+mAZmLLlqDmMzjlCcyiRf0FH6HjyScwpUPjorlkN68m+eJ69EAEO10gmS6h2wI9oOAUwbYnOu64DrjORNhFERq2baOooGoaKAJpWiAElmMT0AM4ho2m6Ki6hqu6OKUiqqriOA6oCrbrorkgHQUpXHyKjgUIVcWRLpZlUaaXMbR3CDNrEm+qoeve5zngC2dihMvpveX3ZHuTxGdNpqwqQa5/DLdk43c0bCSOI3EVl3wqR008SMooUtNcTsXXrqdTCopGgPBih5VdOY4fvIOeC36Mz/Ux05I8OKhxWttBPLUzzWguTcuBU9jSk2brpl0EmqPcd/P/45OX3Mj2/gJ3RaMc/vsv0WFCcFodk05bytj2TgKRBGF/kJpgkRVzJ9OfzPKlQ+vJ+kN8uHcdkc3raLxnNeMjKay6cmoPq8JtO5qRP/6UH3zoTNR1j1Oasoiyr1wKQsFs/xO9Dz3N2d/8LncVBHNn19FQY7OoroKjStvIPraK4d0j6CUbQ2gEwxqlXB5VV7BSBlKFQDCEkc/hZArEjlyEu20n7Q88h3BczB17kWioikSRktpF0xlcu22iC0/XCBWKn5xro/v9FKRJCJW8arP77ico2TpBp4Qz7lIgj6brjI2Nk5XVTJ93ADuff5nUhu1EzE0UIjEagkmmnfxbdDmAZev4VIesv4Lnrzudpd/8A+tW3YmKwqbHV6FoCsE5x5O8GIpuJwNX/ie0TmfLvHOpSxRoGNqGUzYdLWMRyW3jxFv6+dO5deiJBgwzyp0bepjblODSp4e59ye/xMLk17dez8GxEPOPa8Q0yjG1Nkpd7cTGdkLfbrpv+jGRXJDa2a0U6iPY/YOk+7IM/GkdFctmURwZwxIq0rWpnz6FVCFHac8QQ9pGBm9/gClHHkH+W/P5Q/B8pE/QUldJjy/AMadfzUtH9MD/++V+vdd6PB7PO+JfKWjk8Xg8Ho/H4/F4PB6Px+PxeN7XhBDNTIQcKoD7gOeBq1+z7DbgWuAjwPsu/PJn4r2dYxVCzGWim8uNUspnhBAtb7C8jYngy8hrgy/7rNu3nfu2FvkmCCHmAJ/kf7sQ3S+l/Nq+fUuBhcAtUsrk23leL/zyFlQ1VDPYP0jnlk6CfpVSDtSAAigoNjjSxpUCVYaQJoRmlaF05UmXDFTXRyAAoWiAYq7Iiz+9Cc3WMDtHcBwHIQShSBBDuDiKSWGggKtbkDdQyv2oEUHQVCmmBZZhYZlFVL+P4a5+apa3ke4eZPSZpykFDbIrd6GHJf2fv4o5xxxE/Ozzse/8HfPPOYZUvJpDr/kOqy/+NgFU0GDS7Cb6UqPseX4zIm/hCIEwJQoC13Uwi86+DikKMqoSKgvjGAY+fGAbVFXWUjl7CsmxIRLNtai5IYbi5Wjbt+NPQzo5ggZkxtIIVUFRFPzlURKnn0Fgy4uMB8P423cwuquH3lKeoBahvKkW/6QGup9ajdU1juMkEbZLoqKcYj5NLJQgWRz7c8cd27YRioJ0XRzHQdUVhBA4to2qqgi/hnQkflXHKlrYto2mKJh2iXhljEigmr279gIKEgdFUYGJbi+BQADLNFF1BamBIhVs08G0DYxciUg8SqpzBC0gyWsaPsWletlixHNrqT1+GX5DUpnKMLZtD07GxkYSb0qQHkziU3T0A5qYf8ZpDNx8C2l/lLgvyNW3PkWiqppjmnScoy9i0Zrf0Xhzgms+dxL9ZhWzP/0HRvt2YaZHcQX4z7gAkr185VMfRZUuLYtauekIB+fF39EjC7iz5mC+vAGZ+DWhiloKfSkymzq56IxJfOPFQU5tixKwRnk538hsJ8ue9b1k0zkcBbIjKYrX/4pgTYzWBW0w0Au10wiZKbq++z3skkXWsSmPheh77E6OWX4BR0+RaH1b6Pzmj+jQQ1iGgeo4tB6xgK5tOxCuSsFK49gSXdeJV8fJWkV8c5agj3YxSJx5Jx/DlgefxJYSx9WRlo3q01HiOoPPt+M6NuH6ClLJDDUzW8hs7sB1bSoiEUrCxc1b5EoGQrVwCeIi0aQfv19HCpepC1sZ3dtH8NKfk2uZzszlF1IyC9T0dzHv5A/TftdvmT3/MO78r0/gG9rNubdsonbGfJLr1qIoCoSL3Hjt98mpJWRtkPxNl9N09sn8R99MBv74FN/56BGkt3YSr+jF7V2PmHM8jx40ituZo6utgdu2jfL9L16OT/qxFYWnn/o5U3SLbjPIh296luzecXKpAaqmTefsg5uZM3s+h4+/QNXJ5/F41Qc4UB+mnn6Ml18k4NvF6I4exla1E6hOELFcMv0p3OmC/M4+omUJVKGh5U2SDzzCqAWLG6rgkp8QuOESErOmsWFFhkD52/Dbqx7P32NfIOEd6arydvPCEx6Px/Mv69VOF29XBxiPx+PxeDwej8fj8Xg8nrfoP4By4Hwp5c0AQoj/E36RUo4LIbYCS/ZDfe+e93D4RQihAL9iopvL197EIU37tq8XfEFKmRdCpIAyIURUSpl9eyp9Y0KIrwHf53+zKJKJAMyrQkwEsQzgbf0tfC/88g+K1cZJDoygFSRaIIgtQWOi64uLRNUFQmg4roujm4yrBQ7+3k9ZffYnELrLnKMOpHPtdjID40ihoggTRajIACgOaBEfhmGgKgoy7CdVyDBj6WyKOYPhjT2YRR0UlfikMrIjaULhMJOmNSOERM2DO20alSediP+hJ+jNrKeQKqJJ6NnTh/aza2k+9kSSMw+jJFX84UYO/eEX2XjpdYQr4lhmkYYDWsmFgvS370UBNOkiAS3oJ16ZQInFmTpnMsyZxpYrf4uRkkhRBOHSbw0Rml3LWN8wMisZevq/0QaT4PdTsA00n0446McNKrQetZB83xiBSZU4XVvYuXoTRsEkrPmxEzqyoOFgYOQ0xh5fjdM5MDF+ySyhBfzkx9P466Kke1O4AnBdYGIUkW1aKKqK6zgomooQ4Ng2juOgSAXXAcMwEEKAIrHkRPcXxxAMDw/++Vqr6r7giwNCOpiuS3lLOYVMERUdq1AiWhGkqqGOnp5uMiN50CRKUZB8bh11M5sobd5JqLKC7T+9mRmHH0ShUMAfC5CVebSCIL83jSoVCAsU0yC78kkC5X5O+cnTuEEfQx0jZNI7uD9WQ3rrrez42nTu++oczrz8F3T96mx+vOsFzv3KRfz2shs45Yuf5MIV8znUrYWuhxm97z7urU4gtC+RK6lM/8bljOzcCoUkLy+7hIYjhokV08R1FXVkA1+dPwW3vppUXuOwXX+k/ffPI3WdeHMlyT3D2IaNls2TzxrsUC2mNNSiVTWjP/YQamWMbOcwqgKlTBHz0WfI37cGWR3BEgazViyl88kNWEqJaHU1e17aQsMHFtD1wiZCgQCZQpZwNER6ZBzHctn9i/9BxaZqVh2bx3IojsAtOCi6D1u4CL8LuSIyHoUC5EZSiKKFURZk8gHTGOzqxgqpBEsK2biGNPJEXY3pv7oNNj/MputvwrRK+NUAnS9tp+rgaQSmthK18+y4/zI+8r2H2bz6dkZdQcAnuf1bR5EctVnx2RuZe+RyLjx7Nv/xjTn8bCBKU0iwZtt2Fi44kIOvvJfN2xI8d/aJzNFyXDg5QcNL90BDnMEdW4l/4FOs7FIwa2q4buUerpjs8JmFDQSv+Tx7R3XWdY+ydu12Fh48iWo5xi/PmM9dO4osm1PFCSvOYMMfQlgyBGqWlx68gcXb7sMtjDB6xPnUJx+lJ58l71qoCT/FXJF0Ko8voDO0tRMtGiKdHKdyUhxfMEApL/BpgtLAAO5XLoDKIMV1W4lObmFs1w7C++H+6vF4PK/1dgSi3gvjtDwej8fj8Xg8Ho/H4/F4PB6P5x9wHLD+1eDLG+gBlr0L9ew/irI/z+4TQmx5vR1Sytlv4viLgYOBC6SUY29i/av/cf5Gs87yQGLf2nc8/CKE+BBwBdDJRAeb54GR1yx7AhgFTsELv/xzcJFEa2KMbB3CFwqCMBCmxPUpaJbEEQKpC0KxCvxakQOu/AmOqzDr8i+gF3PsuP0hXB1kVMXnqNj4kEJMdJDwK0SjUQIVYfrb9xBER+ZUdqxqJ+gLYrsKqutQKBVxdls4ukN5fRUDfXtxcQjG49j9vax7ZSNmwUXNmwTiAYpZm2LnIDOPOoGxzAj1Vh7Fdsn2v4y7azuOX0BZiNrjDmX8gWdI7x4mEglgZQyU+ihiPE8gEGB0aAxlT5Lkjt24t61ESPBrKuqUSiLxAMbuUTIdwziZEmPDXcw98SjGY5L0s9sZ2zuMxCbv05l1/FGMDnbjLxh0rd3O1EWzcUIq7lARMyoIEqD+5GXkuvoZeHkLZtJAtyUiqOEvizHz+MPIBKDn9ifQVAHuRGeWV8MvMPG5qitIx0XVVXSfD8dxcKVEKOC4IGDi6y4ljm1RTOVwHGciQOOYKLqO69gT69AwFAPp2rSdtJTNjz9PWPFhZgx2rduGrusoio4/EiSq64z17cUeHKGwdwRfPEw8EqL9yRdRbUG8qQI5ngRFm+jWEgpQNasRoQsyqmTSv13Gz3Nhnu0a5AdbR3FNhRk1QdZsNAnFoOm2q9j925+h57McfN6ZHFZhon39Y7yyYYhFpcvYtXojoYQPZ7xAun+U8Je/SC6TouOR++n+ys9oDTzNgaExHh5Q6erOUReK4qtq4/iY5A/rdnDS2CNY4yY5zcbvSEb3DJCoKiefL5BPGQR0MIay7LrlfhKhlSQzOZyMiTRtNF3BtByUlIL0KxidQ+i6zsa+VQSn1RIdSVB+9EEk27eR7einuaGRzrU78PsCmI6N4dhIFSqaqkh1DTKwYS+ulGiqiitAWgaqUFCKLoFQCLdoY9gWpmVR3lRHTXMLvoYiwz17UBvraZw2k/5HnyRfkuQcA7bcySu33o7pDxJzXLSQQmU8zFd2VPL7Qz7OBz9+Hj+/6BjKyupRpMboE/9J/PirWfCR72AGImx94KdcfveTfG5BJb/ZleDZbTsYymoIJU7+uU5iVTO4999PwnItFhxQR/3WR+l67il0y6Hmm1fw5B6bmzcO8O3jZvCxBWOUKT7u3WXxP4/1MnPOVLAtlh0wGXNsBwo2B0QNZJOCz/Lx1M+/wUEJG5KDdDct5qrHNvPdMz9ETaoHLdXDqJmkvCrB3rMupaGhgSZhsP3iswnUVKK7AjukoGQzDG3opGHudHo27cAXDlKbqMO0VNTKKFrUR97KYqed/Xmb9Xg8Ho/H4/F4PB6Px+PxeDwej8fj8fxtFcBzb2KdBALvcC3713u084sQopGJbilPSyl/92YP27eVb2LNu+VLQA44RkrZDUw0ovgLUkophNgBTH+7T+6FX/5BkXCAYE05g9uGyKdz+Mr8TD/pALbdtRatIsjBZxzHthc20viz39NxyRnk7SJ7vvs9pHQINtegDGUpjGfRNQ01pGHnXVRFxTYdFBUyo+NkBpLgF5RKJlIFXfgnOpWoKpoW3NexRBDUgpTGc0QqImTzeQyzyOzzTmPNj2/EZyr44hFKxRKqT6diSg12KkPh/qcxentRa6rZ89w6xPAofs2PXTTp+P2jpAbzWNIiHNIIR3Ry43lC4TBTPnkSxWvvQJapuEgm1U9Ca6kgXyxRWNdBDoeKmkrcigj6WIpAcx1uNEBgLMuuniGqZzQSb6iEQJDk06+Q7EshAoKms45GTJmF/diz5FUHkSmR7c9Qv3QuwXnTqauv5pUb/0TIr5OY1cR49xAbbn2QaCxCIBHAThvEYnFyo2ls28EsGcDEN5OUEqTENiUIgebT0AN+ipk8qi5ASoSq4Fg2mqbjWC6+gA9VV3FtiRQufs1P5eRa+nb3seiEZWSETX93F82Tm0gXcphdo/j8fhzLRVoWekDBqI1RFg3SUF7FxuFRbNPEGMojpcQM6qQHkiQaahnbM4iv3E+kJoasCBKbezDikJO4vzvJA+2drNs6zukfWsQtt61k5UN3YkkfoQOWIx96EGXljYxVT+auQ4PkGqdy6MJaLup+nNTpX2Jq8fv4jz+JkD9G/12/IdkziM+Io4XjzEpEOeC0i9n+jY9z+Oe+zXFzE/iSu1EqSwy+tJ4Tl5xP5c5JdDx0HyFbx1YFQoVUKo2Sc9CEi+VKfLYgEAwxOpZCCIFl2wBY1r6uO5ZLySyiaRoIF8V2KW3rp3ZOK0q+RLCullqCZAeGqWyqZDyZJjy7mcqhPHs6e6k/5hCyP3sAKRx0TcN1nImxVftGWCmoGPkStuOg+lQioRBVbVPp2riB6a0ttC6eT/fAXnbfcQ8FFHRHp6a2ih23Pow/aaKFE2SuvIMjjv80fmlSVDfjI8H9Nz7A1hc6+c3V57HoAxmCx36HLc/cQPmzt6KoNrd099NSV8N4JMQ5k3aQCNTwiStXcsiCEE/2xGicXMHlD7bz2KcXEzHG2Fh3GPOO09k2bTlVODy4vZuG2hgvD7vccGcfzZ+OsXrtKH2vvMC2x+/kP77zWeba6yG5l7GdG6iYupBpehR1cARdBBC+Zq5O1fL1i69AUQqsGwmy9sIEp192M7/9wRVEd9zLUjFGavNLZDq2ok6vwkjU8cKyL3NWaA9bvvkdyhqryCdTVLU2khsYIZ0sMGPOTIpDA/Rncri2SVPr5P15m/V4PB6Px+P5p/bq+KNXeWOQPB6Px+PxeDwej8fj8ewno8Cb+aHOTKDvHa5l/9q/4RfzTXZ4eT0/A3zAZ/6OY17t5PJGgxxC+7bvVmv0+cCaV4Mvb6APOOjtPrkXfvkHjWTyuDuHEY5LOpVHSeW449rHmFJdy8LTF/PEA4+z5KxlrD16IY1tUzFuvZX6uma2rnmOWReex4trr6di5iRGuoaJxcKU0kUcIVDUiS4krgAtqOEWTTRN4KJh2zZoAqGB41i4tkRTJCXXIBwIInSNWF0FruKw7obfEwv4MJDkDAdNlSBcWv7t4xANIKMxTBz6fv8ohlkEV0VVBeZwmlAswRIDewAAIABJREFUhD+q4qRdnIiGqyi0tc3DFBq5zkEMzcVnKMi8Td/oHpz2ThRdoW5hK+Nb91AqFyRfHkJKi5pwBLOtDTGWozVo0v/EJlK79qCHAjSfeyzm6k1EctB9w4O0npZh0oePobBtN8PP70BN+JH5Em5lgP7nNyI1KLgW+Y0dqEJD0wJYroqSNokm4hiGgT8ewEkW/k+8TVVVHNtGAqqiYEuXoE8HXQFHIiUoYl/3F0CoE6EZYbkE6iIYZokpRx6CVldOYmgyVqZErKWaeGsbpAbxZUoYmRIiZWKZJo4GtuVS6knjn6yzae1LmDj4FB/uviAOJQuzBNlikkh5mNisSRT70si2VrJHnkkmp1BVGeSCNps1q0b50THlzG08mf++vZ71q+5GWjlCaoRCKgu9axAWjF90HHzrFP578Qqs/3c9BStO2TEaFJLUt7VSNnk6fU88hvqD7/NEV54DIh2YBT/lZomhPTuoaZpJKtzK09EQWk+SU0NVRGIqvtm1lNJpCsMuiRkVpLYOEYj6KKTzOJZLNpVGkSpmyUQRAtWnY1olFCEmroOUKEIiNAXpqGh+lVw2SWXLCSh7uzCkxUhyBCOTxc4USa3uYFRx8buCjT+9Z1/YZeJaSsAVLrqqIl1lImSjCWIVUXK5HFbeIBFPQERD1LfQ+/Bj1C1fQqGqkwYtiFkeZOTJVxhOFohHKrAvuYolxQ2svvHL1DVM5YSvX0eyfy+7rlhBuqwVtes5UvWzSH03jZkcoKqxBdQ8p5XVc33aJV6UiOoWzpK7+NA5Lv4ZUyjFpxHObcMOt6AO7YLsAPP0IOMzllBWyiF613L67AM5tExlVynHzZNMjjn/l5zy0SN57vbv4PPZ+Gyd9PCLxN0I5VoFMldi+OF7KViCqrNP5ysvBZgxuYUPXriC/zr/WPLZPKlYmDu+8zHE2jsobWuneEwZ4e4OWPp5Xty0lmlt8zgrsYeOq64gWp8gM55CURSyfTl8kRBxRWfw5I9y0XNwzUlzKT18GWnFT/W7eF/1eDwej8fj8Xg8Ho/H4/F4PB6Px+Px/N2eBs4UQiyVUj7/eguEECcCM4BfvKuVvavEfhx79JZDNycCKeDnr+mU8mqnniYhxKpX10opc8CefZ83vG5FQoSZGHmUklK+4yOP9tF44zFMr6oCzHfi5P8MJO9+y523JL19BEWq4EIkEkZKmKIGwSnw7NV/4o89We5++CZ0xeSEfofyzhyhOeXEKqp48es/QagqqS2DhMI+0oPjqJoPBYFQJI7jIIRAC2hYpokUAse1kI6DgooULo5rIRQd16+gGzblBzaR6R3AciExvYaD//0LbPvx1YhQAKVzHFcVzDnuEIrDPch8lMwzL0FBwTAMkAKhOEhbxXEcsmNpKqc1UDGtjr6XuyhKhfbdL+BYDv6gH+FI8rKEjoLjB133M//jJ6NGq6lZblBcv4nkwAYCUZ3owunkO7eRaJ5CZlcSI23gV3QM06XrN48gTEHap6CEdQwzz/j2YZLrtiM1Qbw8xO41G/G9spNisYCmabiGg8RBrwthDGdBcZjUNo2Bnl4yYxk0qU90eoGJrSJQNAUXFdd20Hw6qupSSGcJ+vwUDANNKASiQcy8gW07E11gHAc7qNHQ1kLVQfMQsXJc4eIPBClqYXRdwbYEZiiKMpKhqqaCsdIA05ceRLJvkMikKvwl2PbES1iaQEpwfBNBGxyJJiY65wghsC2XQt8Ybccdwrbln4OhPLP8vfzkmQHKfJU4Ypijr3uZuuo4I1aJDQ9cSWn3evI+m9ye3eiOgrX4YCpu+yH5UAVuUGBV6FSf9wlyO56i69kNRCrLmHzqGVTFAxSUSs6ZZFIMtqGGNDK7d5FoaqEjMou71/VzSnMlM/R+zE17iZ/zCZzebez6/e3EmltoOexgzIUmPn+I/hdeJjM8jCi4EPThDKWxDYljm4ACUkH3qViWhXAlgfoKWiqr2LV+My2nnk5JLZIbHUfLZCgNZ1BVFX/Uj2kYtMxqxRSS4U2dSAFSSPwhH1bRBFdMdORRQbgCaStIB6TrAiobHniYyoY6Aokyiv1JZD5PUPHTnx5FbBxn0vJFOPc8iypsmu67EhYtov6x50hmU9yjKxTaSuTWPkvtURXcFmjjul+v46Fjo6T1OO7Mo9AyGZrGn+DExqmEsQmMD1Pq7SE02k/Xy5vJDw5RVhmnbN48Ov/0OKqh4agCv+VQOaWKsS9cwVhvgSt2G3xpboILjmtjTsThurNmw5bbyddOQQk1M165gGJTkNhIH6WNm8ASiKBFZMaR/PxAP/orDyOOOZDU49dT3N7JYH4Q0TiZ0GmX4FtyMqlSidKhC9hoGKxY90dS2+9h45ZuNDWwL0AE1Qe1EdozQCARZ9BS0G76If8tKoiZX2Lvsy8ROfTA/Xmb/Zdz9/1/ZO0r6zn5hOM59JCD93c5Ho/H43kf+NYPriQcCvGNL128v0vx/DNqngw9XW96uTq58R0sxvOuaZ72lg5XGv73+Nd2P/K8/910y61s3dLOuWd8hANmzdzf5Xg8Ho/nfeDSH1xJXU0Nn/vkx/d3KR6Px/Ne90PgI8ADQohLgD++ukMIEQFOAa5lIpTwo/1S4bvlPTr2aJ8EsOyv7Av+xb5XMx47AAOoEkI0SCn3vuaYBfu2m97WKt9YJ7BQCKFKKZ3XW7AvlHMgsPXtPvk/S/hl+b5t536t4u+gugqKKpGqQFEERsFEUQWulNRMacTt2khNMEhzJEZlcx21J89kZE07Na2tzL76fNi7G2PtJjY+9vLEKB4FTNNEQUVRVTRNI58sIDUXFRdpggv4fCquKxBCIiT4Cw6FoEL/hg6mrphHVdM0xkNhyA4z9dJL2XTxN9AUBX91nI5XtlOZT1N23lfxT3qO9M69qBKknAgPuMLFch00zcfw1j7KJyVAmITr4qT6XUJCpeQ6KIAPCZpC1FIRAR11ziJwdbIrb6OioZ5g1a6JwIPPT+/KF+j5nydwDBOkQlGx8SkalnBRNYVYeZDymgo0V6dhSjPG9j1ofh+loRx61E/52UfTccM9qI7AcRxQJFbJQEhJuDzGcHoUVdcIx8P4NJ3sWBYUBbvgoPl9SNtBVRVwJZZloqARLIuQK2QJCB/ENWYvnc/mx9fiVwQ1B06hZ20H5ZVRGpYvpVRy0cw8udXr6U6OEotFMNIZqpYuwMnnIRah/sAD8e/pYWRvL2pQpeO59ahFEH4fquMgkTjmxEgghMB2LISiYhgmCgq+sio61m9k1rEjXN3t8LAbpSGQYk9yhIbJk1j9h9u45kdf5z/POxjfDz/DsOMQCIaYdOQRDD/+LHrXHsqOWIJx8umohSIDh57JeDBEomMdM84+B0sLYwmdwpKP8fW71nDTCVPZa8WZ/bVLscJxOorllNk5lrZWMiNRgv4MvrY2OuLTqWuaxbRlZ+F77Nc4jTMhEIPxAbLdg/gSIcaSo8RtFy3qx2eVKLkSLexHqBpGNo90BW5EJaoHSfkcEAr9q1cRqkiQ6ujGSWZRasKE/WHGugfw+/2k+0dI92WRCuh+FeHX0P06NTOa6Nq4C81RCEVCmIUiuBK7VCQUCVEsWcSiMTIjKTJ3PEm0qZqhZ9ZTGEkhHRfT0ajpSVL5P/dQ8bvL2PL8Trrb70bUVxJSHIqmiZKyqaprYSAwg6V6O4uOzmFlc3z17qe46hOnMr33BfLr19K08RZywRBZ0yaXTFHT3Mjkg+ex+cYHGBztBUWFgsRWJcIysTWd4d3D6P/xWZaecDSzl5zDK6MFjh94gcVnnETP97+A/PqNDA50Mz0hqDZ7ySSLuEeewehLXyEU0GA8y+h/f4uGU06i1L0d3TRwd3eh9g0QCoSITllI0h4n1LmVb7fX8b3gOqY8s4qhQga7YDJ1bhsd7Z3E22Ikd/Sx809rmHn0YnrWbJrofKQoJAsd9H3+IsrLy5FNU/fbPfZfkWGYfOCoZSxetHB/l+LxeDye94mqygrOOvWU/V3Gv4y/DAK8mRFIfxki+GvcvbvecliBnl1/fd/fGYDxvAf9jffPm3kfvpYXevnXZdk2J684ljkz2/Z3KR6Px+N5n2huaOCMU07c32V4PB7Pe56Usl0IcQ5wE3DDvg8JfAw4f9+yEnCulPI98/P4f8h7NPwipXzdwoUQLUAXsENK2faaY4pCiCeB44HTgJ+85vDT9m0ffFuLfWN3Ad8FLgO++VfWXAaUAbe/3ScXr3bJ8Px9nph1kNT8KtJxkVLiWqAHVIqaxYvbR+nL6xyeEAT9MaoboGXJDDbeuZ4Tf/QJtjzyJ9LDBqFoBCOZx3HdiW4vtoLqU3EtF9u2J8a9ALYjEUKiKgqOcAlFgtglC6lIXDQmzayk4ujFDD+6hrKlc4lUVrProZUUczlEygW/S3heI6GCoH7ZQYzkLIqvrKPx0AUUUymcoQwjPXtwMiVMy0IYEhtBvDpCfmycsBLEP7WWUjZPqmsYbFAUFUeYqP4AidYyms++kPFnH8VOG5ipNAXTIKzrjPeMYYZ0lFQJ13VRXAVUBVMaxGIxsB0KhRIuDtFElOx4CTWuEBNBxjJJoqEwQqjkiwZYoKgSVdOQUqLFfKi6wOcL4A/5yY9lsKWLGtBw8ybFTBGfHsAy7IlrZNgomoqrOMiSi61AWXmImZ85h94H/j979x0m2VXf+f99zrmhcndX5+mJPVEzGmmUJTSSkACRBAgWSYhog41JNhj/vMbYi2F/9tpmvYTFGNuEJZooISEkIQklJKRRGGlyDp1zV3flG8/ZP2qQgcdrBIgZBPf1PPM801136p6uW3Vv99Snv5/byJ+7CSyL4W/cj67FqLyF6bCJJqpoP0YoWH7NJYTjc3ReeiG2JdF1j8rBowzf9xiqCcZRSCkJGgFCCOJYA60aJR39e7hNKIkxBtu2MFKw6StfQn77H6lvvZr3bDccn1gkGm9yz1+cQ//lH8QTEb/7F+/nny+sMDIxTK5vHcXaBDR9hu+4iSUXX07YmaW55PmkH/8C5rI3IQJFevoIoajj3XsThTWbaaw5n7sqguetWMHh6Wms4jKWOwHjVU1X3tAdaOap0z70GM0H7iP/squpRJrKFz5NKldgdmQcN9eG0ZplV1zM0J0PEHsN4oqP74VsfOtVjN69nfKBcVKWIpYnvnYkOvDJ5XJUmwFYmkJvB0GjyZoXXULd0ox98x68eoQVCfLdBUr1ReyGRNiCOC9Zfe7pjG7bTxAErD3vdIZ2HWg9n1xJ3+rllI+Os+rKczn83YexXZuaHbP83M00DoxRX6zSqDURkSRtNLGbYuDCNbS96r9wrx4kttJ03PJRznnhS7huW4avm5t58rEnSdsuecfB2rKe3vYiI/f8gLiQpqMrz+STw5hmSNwMSfUUSPW0UTo8joliMpk0YVriNDV1HdJd7KQ0MYO0JCY2pDctwXILeMOHsZougd/AHuggmKkjHEWmrw1ZbQXiRAqEF1Ov15E6bD2etgt1H2fjUuJSFV2uY4qCTe/6EHMdXXQ9cj/Tc1PI+TmEbuCX6uTaiow+uofBizdz7MG92DkHaaBRaZJb0sbqlz2PXV/6Dl4lZOnpKwmbdcpRgzM+dsOz87uEZ6NaKbkg/0gUnuoV/GyWfapX8Ox2Co6x8U5WpelvJ5HKPb0N23uT68rJVJpIri2nyNMJvzwdeuw/Ca48Xf9Z+AWS8MuvkxVPp579573P3/DwS3FJcl05mRplg/90plcnfiu4mae3XfKceXZ4usfzt0GmLbm2nEzzY8nPLM8WTvpUryDxI0HzZ25ikuvvrw2xZN1Jva6cCEq8B3g+sBJQwBjwfeB/GWOOnMz1nExCCM+1lFv/yLtPyf6z7/04fhT7xpjUz9766fvPwi8nbn8+cBcwD1xkjDl84vMXAffSmgyzyhhTeibX9Z+sNws8CmwAfkhrCtGHgR/QCsZcTWswyk7gQmOM/0zu/9dl8suzjuUqlFJopch15tDEBJM1znnDC7jhPV8lh4ctC1z+xXfy2B99EgbybHrnc9l39w9x/By2E2F8gThRxyONQFoCpEHaEgsLKS2CwCOWoCyNpWx0JPBrAShQStDen2L5ZVsJKrOos5czf/Q4ThASjpawjcQogdvZxfqLXkB5+hCTR49S+uEBLKnw5kqMPbwHb3aBfD5Htq+T5tEJzjrnbMzzNlI7Os7gxc/nyMc+SSY2jIzO4giFcAzG1vSuX4XUAe3nnEmtvoCY9yjPzWAt7yU7NEt5bpFQCQopSS3WxEaA1mgR42oHr+ojHMBI3KxF04/pLOaplWtkV+dJb1pKdecQuhngKklkAhA2cRyjpULM1VCre6lMVZAZH1cJUrkMURCjcmmKVppG3cNEmjg2CFtiBCjLwk4rVl6wjvHVXTz2ic+y5lWXYlk2M3c+gvB8nFSabIfN8PEF2gJDaElc5TB+06OolKS45WxMRvPkv3yF9mUDmKamoQ3CC5HaRqBByhMVTAZo9ctZTuslp1xF7Gta3XOG8r9+kPQ7PkGbf4APvGCQB49M0JZpx3FjIschiDWf+4cv84GbfocvVi3Wyx5u3lPib659Ifl6k9BxKC1/GZ1HbiDefA3Dfpou2eDDR23+sD8iqDSx1z2HKN3D5oLL+27dwbXPOYtzJ+7EsXOsOvg4zbDCQsMjVeynqRzidWtpHjlIc/8QM0fL2GIB4fv4NY+UlWfv52/E4GD1pul++dnMff0BDn/2dggNEkXFishKl2wuQ7XcINtXQNoZrMVplHZoDM0jHIvDX70LYQnSnXlkWEPmbBqVOhYSI1vfE7hNzeSBo8QmpNCew2pLk+toI6p7CAnl2VnCLosDtz5C34bldL10K83pOY597fvIZkxgm1YASkmsnEOs4HgkKT70OJdf4nIoN8gfjqzh89/5PP+zEVMt5uiKHIJ6nczGIh3nXI7Xfzry0G4WHj9C84BDFJ0IOBHTnC5TW6hw5nPOY3pkgpmhUcSipp61yaTS1Ks1tAAVQM9p/aSW9VEZKRFUUvh2SE5bdBX7mfIm0fN1KpOTRFULx46xvDSxiZEIssu6yeTbmXriOLExBLuHsJRCBBoZOmx73/uQkcUBW+BKTSHlIvwmUqQZ0RNkGyH7HtyFjcYsRPgmxOQcmrNVdn7um2x8/gUcufVRpvYdQQsg/YxenxOJpy8JliQSiUQikUgkEolEIpFIJBKJRCLxczHGDNEKv/z2epZOfvlFGWO+L4T4OPBuYIcQ4i7AAV5A6w3q152s4MuJ9dSFEJcDnwdeBFx84qZLgUsAAdx9Yl3PaPAFkvDLLy7SCCTCjSkvNjGExO0xOz51P+d1xjwxb9HX0c7Ih7/BQrXBstf8PqFqJ5zYS7ZjCcfu+AZzN+8kDEMkoLUgFgYRQRT4CBRxqMEIbClQ0sZIg+UIiAxYgsJgN5YTM3NgD+WxEhsuv4ixIwsc27mXdHeeqO5j2y5rXrGVmfvvpZnLYmuP7rVLqE7McvTux7ClotBVxIs9MkJhK4W89nkE2x9j4p7HWNhxEHtsAg8bO9RoNK7rYrmSYHaRgdPXk7noahjayeLWs+gWio7RUfbuON4KmhiNXw2xMw54Gi00whikaxEEAa6xEY5AxwZthTRTLsYXlKYr2NNzdJy1jvn9I1BvYrBIdaSRFpRrddK5LN74Iue8/RooVxn94ZMQxtRSsOqMjRy/fzuxq2nr7KAxW8FO2UTdaazhJmrAhfPX0rZtD+te/UKO79lP+fAE+Z4ixd5e5ibmmD5Uo6szz+LiIg4gchqpbJZtWMX4wSepbz+GDGyaR0tEvsZxbLTWaBOjjUEYjRACY8DE+qlJMFprwjDCtR2wJJklKbpeehVmfj9P2qt4yz98g11/cg6fPJbm/bcskFk2QGfnGsr7tvHKfznC8OEjXPSCLSzNuHx75xh7xzfyqSvaGLjrw0xXPEpLX8zw0RG2Vw0bezpRq1aQefvZ3DUVEHgx2/bu4682lOmevou5ahlrXQ+elSE+coy4EeJseQHjfRexsnmMVMbBXT6BNA2mjo5Cw8ZreiA8pKVIpWyieY+5mx9CK0Pv5ZsY+8FuLE/R5lp49QCTtrADRWOiSmjKSKGIddw63UatKqh0Lk1zsYadtgn9iDiOMTFIKcBoAgSFAFZtPR/hCCrHxgn9gHqlDkC2FiItwbJLtrDrkT101QUj33+YIPSx8ylcyyJoesSxJu5p46rhHq7rOpd3yDHSV32E6bv+hhteJIlWvofs5OOUv/Mdlv3xn0LOoXFgB1OP/gAx+hlKYyUi26JguZi+LhqHJrGlQtgWbbkMzd52FnfspH1ZN/WxOax8DtDYvZ14R8bAlkxNzrG0uwvRCFF2hERgVhVRS3so0KThSlQthW+V0bHAs2Py2QJOJk1zYpr6bAOFQEofI1LILpcV7/9bsiZm5rP/TGXkOKYuiC0blbKIUzkaczUGujsp+/MUO9qIgxAdRkR1gwwBDLIq2Xv7I0SOwGrYCKEpdnWcmvNrIpFIJBKJRCKRSCQSiUQikUgkEolEIvHz+i0LvwAYY94jhNgBvItW6CWkFTD5a2PMg6dgPTPAS4QQZ55Yz0p+bAqRMeaRX9W+k9qjX9ATr36xScsUs8fK9F3YQd//+CSF+gzH3v8XfP3rjzHadHjFWWvJtTc573OfIuxeh9B1fCtPZnw3zTtuZNfXf4DUoKMIjEQq0DH89DGxUhIhJUopjB9z+qsuZM8dj2PZoB3B4PpBOi45m8fvuJfUaAk7lyW1ZhmD17wc3DYgBcNPMrtrO+0Dg0S5NDoOKO86wNzuYWI/xngR7ct6qcyVyNs2YcbGq9Roy+WZ9huYsoctJKlcGstRpPqLVOo1Nr72FcjlZyLHD1E7fpDQdTj8hVtxUmniRoibSRM2G0hLEXoaI1ohkFYNkEFZAqPAdi3S7RmCIEJrTXd3N/kXPIehz96A3Z4mqrfqEYQQNOselpRoPyY2Ap0W9G9axdy+UaLAJ1PI4E03iE2MURLhWKggxgQRMu8S1H3OfvWlPP6N+3AsB7vNQWuNV2oilCDyw9aJ0Rgs1yb0Q8goLrjmeez52v14YYi0LcyJIIuJQaIxUpwIuxi01ijLemrNxhiEak1/UUqBNkRC07WhFy+K6br4DLyrP4A/O8+2mQaDBcXtx2f433/1WXTk0za4mXB+iNJCHYmhZ/1mutb0cd6GXj53eQflb3yW7OnrKe85ROcLX0WtfyMLkSSVb+fyv7uV1126kTv3jDO8r8w9f3c5vVZEsP1G/KFRqC3Sc+XV1JZdRNovcbQc46Yz9MkKjO6mufcJmvuO06g1aVSq6LJPhMGEGukoXNsmNBplNJnBXhojJdLtGZa/6GIc12Vs+05Kjx4h0AYrMsTCoJFYtkQIAUKgVYwwEmJQGUVUj4ijCCkstImwLEl+ZQ+i7pNa3cfMjmNIaTjzLa9h76e/3joOGZvi4HLaeixG7ztEwxPYGYnxQ9q72/HjCGUinM4cjZQk1ZXC2z1H75oOxLJBSnsPU5uvkK8aStIjZSyMymMvTdP36peycMt3qR0voQY6EKPz9J53DtOPPIHKppAYbOkwsGUV0xMLzB0awk5ZxH6E47pERhOGIYWeDoKaT/eapUQ93QRHjhGV6/hRTOx5mIzDwGteR3D791gol9BVHzubbtUfnQhPZQ2s+tj/Zu7xBylc8ipKnqJvbgfHohz58iyT//gxECFRNQAkliMI44hMKk0qn0EaQWH9AMd/sOup56btWjhZh8Zck9gySF+AE6NQnHnDHb993yWcKkntUeLX0a+onuiUVBAltUe/Wk+z9kj0rU6uKydTUnv0a+3pViM9I9VH/5GfVYd0siX1S0nt0S8iqT06uZLao8SPS2qPfrMktUf/Lqk9Ormq88nPLInEzyupPXpWOVm1R0KIXmA9rWqc6R/7/CrgfwCbgWHgQ8aYR0/Gmk62p2qPPv4np2T/2Xf/r19J7VHi53NSJr8IId504q9Dxpj7f8n7uglYAfjGmAt/6cX9gtacsZZjO/ax/tqzMd0pLCcLn/oWrpNlRc9qamOTqFSdrkIBy0RM+z5aOPQHJUS2nePbHsNStKa9xKIVhOjrYXZyFmEMSimEgTiOAZBCoOMYIQX7738CaVnEQhM2NeMHxpjYM0LaVqQyGSoi4rTrrqfaCEnV6piOiKBvHd3tRaK2QeLSPha+chP24DIs1yY9UKTgKyZGJ7BTNqI9g6k1yQ90Mjs3A9pg52xSUiGEprpQpx75pAeXEqy/Aits4NQ9chvO4viDd5POZjBCgYxpVho4ykalFco1FJf1MX1ohEiCsBQSg1EQRRHVySqWZRGYkAk9hf7Xr0E9JopaE2MKPZ0IAfXAY+D0tZQOjdC1djnHdxxk5onDSGVDKCjPlDGhQUqJDgJo+MQGImmwKobQjTm8Z1erUkcKdKiRKJCgI/1UIENYEh21bnMsm0e/dQ8mjDAeaN/DsqzW5B4jwVGcaOhBxyC0IjJhqxrLmKcCP0JJdBwRC0GhmCMKQ7JtvVz+xCa6p+7j5tev5b7Dczzk2Nz69bvIrjmf2cM7EBMH0J6PawmsXBdLNqxl2ZI8xbYOFo7sJcoVsC64ls51I8w+dCvdpSF0upu5VRfz0PuuJDO2k/csSbHjugtoo4I1P0Xl8F4KAwNYy1fQvPUWMmcOEeULrF5/GVRnWJifoOh76GIPsq/O9ENPoBsBwnbQXoSUEkJBENYxjqKwtI+lW05jz7E7sGuCI7c8wtLLN1M8ZyMFmeHIA7uIlMFxU6TTacrlMgJACGzbJooijDBoL8JJpcCjFUASFm3r+mnv7ULnLUrHpygu6SJ9+iALYyNs+PO3oTCMf+4bVCenMFMpggCkirF62lCzVbIrlpLpL9C5ciNPbLqGfmuRz27XfPPxfyK4Z4EnvvAHDPZ/l8PfupW2q84luvVBmtgdLiZiAAAgAElEQVQEzUW8o5OoT36N5kIFx1JYE1VWv/sNhCbHoSefYN1pK5mbmKJj03qefHQH+XqEU8gQxAFkHDwvwE2nGHjOptZUpqahXl6ko6cHXwia5SqxsoiCmMELNpEZ34t36flM3/E9TCpGZF02vuRi9qx+FW0Hb0ctzMLBh6g/8TDty1bRVxxgthFT+cyfU2pqcjmJPxu3AmY6JvSho6+IX2sS6RgTa2YOD5HpzONXmugoJgpiLEtj7Lj1uNsS23KRvj5FZ9hEIpFIJBKJRCLxq/KLBF4SiUQikUgkEolEIvFr7X3AHwEbgWkAIUQOeBDoo1U1sxG4VAhxpjHm2Kla6K+cTHKsv06EEC5QpJXt+JXXL52s2qPP0XpR3QD8UuEXWmN6zgCEEGKdMebQL7u4X2gRc03Ks3Osf+5FpJc/B/31f+CJO+/jlkcP0SMyZNM1tvzJ20jNl0ClaRcNvn3M49UDhsyRh7Fdl1TOZqFexVOGdACz0zMQC7SEQkce4SgapQpSKaIoagUFlCCshtgZl+XnbWBm1+HWpJG0YO0bXsj+W+5l7fWvZG7bTXRueQl6+XLUxBi6pxc6l2PVF7HXXIHseoDSY/uJMfgjswTKws2naZarNBs+hUKBcKFOwcpRq1QRGLpfci5WGDH16G7WvvUtaOOTWhyj+fD3WDw2zuTuYXrOWUO8up/qziGMkvSt7KYWe3hjdYwFs0dGSBfzrNt6Fn7a4cjN96Mjg3BA5FrTbXK+TcMReLUQ0haZTAYtDdWJeUCSsh2GnzxIZ28nMwePo4xE24ooCFuVQ5FBSfHUhBUAmbZZvnwJ4yOj5FIZ6kfr2NIi35Ml8jTluUWUUMS0QgNCSpRUhFFAFGmi2VY9jzgxKksa2Qq9AFKBkIY4aoWVLCkxBgSqFYQREoNu3eYoUuk0kReho4is00bxpRfyYv8ifvjoUSZFhm994l9xB9bTUVzCn77hfP7tzuXsv+/bhLJJZ/cK3EIHB2+/ga43vpnVHS7tIkNDCMz3PgG5Iunn/xFDxrCSRYIvvI90tp2Djx5h7daNzF2xmVApjHApnn0+1U2voOjPMnLjnaTnS+RX9TH7xW/htqWp7J9mOhWjUg7NWg07ncVNZahW6liWhdaaWGraBnpY+/IricfHMRs2cfZ7VjG77RGMjhAZm+OfvR0ci0jEEAviOKbaqKIjg7QNSIntWkRRhFIKx3KJiDEWEGmMkVRHZqkdnaKwoofi1jOZ3/4EwdgQa1/xWmIrjW8CAschX/eZLZeIRIgSFuFUiY4ta+m+/Aw+Gl3J526+H/eBW/j2W8/mZWsd3nt5k8XcIOn0PJXTXkTuI29myGuSeu7beHJonCu2/R/quw7RqNZQrkVUSJPp7mL/P36N067cSlskGH1oNzGCoZF52nMu+b5uyuUydk1Dd4YlL3gOuYEllHbtx64I4nZB6soXs3DL7TT9BrK7iKlX6LjobI5e+99BNtg0u5fBLVdyz0SVl7/r6+x477UMjD5J/OSD1O0Mo7MzpIVN/YGbiaoVFrYdQcoslu8jFMQxuK5LEIVYSlCdq+CkbPxyHW0M0rWJU4o4jtEmQhiJX/co9nRSmp3HtmxUxkJmkvBLIpFIJBKJxK/KT0/PeLqTYH5j/SqmniQSiUQikUgkEolEIvHb4bnAfmPMwR/73O8A/cC/AR8CXgJ8FPj/gHec5PWdPEKe6hUkACHE24E/AE6nlRP5AvDmE7ddC7wG+DNjzDM6mvhkhV+eSduBV534+znAKQm/1OKAkd1VMn/+z0wPfxAiQzOy2Nq9lFiAsdoY/uStnPXuV6N1RGpxljd2Szh8mGDZFrpy32d8cYZaqUk6cvAE2EbiZBw0UClVWuENaVBKIJVF7MUYW1LIprAzFl3XvIL5HR8h8ELs9hSTB/ez9rWvhLl5Crl+5PwQYf9aaOtCtA1As0mtZylWdYbOV19PevtdFM/ZCqPzDN1+K0vPWMfBW+/FixXNZhOhBVIbhJFkurOUvJjwsSdYedWLmbnjO8weGmPDa1/ByK5hwqFJwtAwsv0YRge0DXShyx6lyXkCGSOUwVIWdsqluGU1T/7wMTrdLKEfYYwhk0oj0y5huUEj6xDN1hACsr1tmNjQWKwCEi00OgjQQjMzMYMtLKQB7QcgFAKFZbUCFiKOiCW4OZtAB8wuTGE5Ct0IsTIKrSGoaepBFTeTxq+1RsUJqxWkCRsalMFWiiD6yfALCoyKcRyHXFue+kIFITUiFCfyNgbRiithjMFocNM2YRTh+QYTGnRTY2bmWWUNcMNnH2L5hd306QZxw6d+dDfVY4I/e/RukKJ1b0a3pqVMTbL+0itoNBrklUCUh3G62jh+zyMszM1zgcoit1xG7cv/yMLILBPTR3CzFs669VxRDEkdeghVyNEcG4MjH+HY3qOEQQVRibBnysisZHr/Mdy0Te/qVVTG5xm48CyOPbid3CVbWLt+kOG7tlGtVrGCmMy1r2LhgYcZ2bOfgVqDwpmnE43Mk+nuIN/egZ11sRyLerWGMAJhCULPxxI2ypYEQUDYDJCydSyDIEBK6FzZz9zBMYQtcV2bZhSzOLaIHptm1cYzkRduZfwHd5PKOxSf83JWXHQ2R779fTIdWWI7QDUFPWevoTRSgtWXcttHv8u7Xvcm3v277+KB6y/iJSu7yb/8rZRUNyXlcOvhMZZ3jnBF/Dhm2142LukCmaF8+jrGj4+ydMMgE3uPUp2YJqw12XnD91vPMyGQUqC1IUrbiJRDOkqRWtNPqr1IbLt403MsPHGQ/Mp+Uu0pgh/cTd9zL0SEPsNHRjBBHz3Xv4tq02NZu0C3dcLQ49yyrZfRr/0+Xn8/U+97J7Jo07l5gOahKTxb4s2G1GcWiSwbJSMEFn4MyjUgDdJV6DBGKIHjOGjLwkQ+YaRxjINOWfgNA0oglGJ+ukQqlyYMY9r72jn+p19gw8k+uSYSiUQikUgkfsIvO6Xj/1mb9KM6nF+3+qNEIpFIJBKJRCKRSCQSP68BYNtPfe4qIALebYyZBz5+oq3l8pO9uJNKJJNfTiUhhAV8m1bYKgD20QrA/Lj9wNXAE8BfP5P7f7aGX37kHOCrp2IR+296kkJbmpmD0xhtMAJytgHboCyJdF38eoRMd6G9RWSkaaTTZPraOfjVf6Q5PI0JmqTjNNoy2HGM0YIwjon8CCEERhok0NQxGddi+enLmN0/xZnXvZBqXw+NesjA1s0c33+I3tNW0v2CF+ItuRj74G2YtVvxgybKdjBtS5iLIZ9qw9eGXKGfdNBEvPgteF4Nf8MKVm48H7/QQXDfQ4hKAEhEu004VyftKpyLT4OdQ6hCETvwmN87jp1Osedzt0HsUdjUjV/1WH/1S1i48yHmD4xi5xxs12Jg3SpGdx7FWDa+77Ow/QCm6dNcjEhnUxhjiKIIqwG+jmAxwsk62AjC+TperFGAJkYZ1QrSoAhszZJLNjJ5106stE3oR0gtiCNNsa+DhdkSjpD0rOinUa7j64DedUuoNj2qcwuo8SY1XcFICI0PtIIqgtYxtFMOzbpHbFrTY5RSrduFwFIQxjFSCoIgwM1nqMwvtuqTToiiCMuykApAtCabWBITaEBgYdHZ1sXY0TuZ3FGmb/113FLKE7jtWEEJKQxG2ATGAuFja4FpLHD6S69B5C0u3dDJmWv6Ke8uMPLNuwhrNVyt8OfHmfvIX9GRacN3JU5nlu7zziBYfwXznkNb11JSqRTWBdfQXh4lmJ9mYe9xPBVSn64ShjEgCWqa4ScOIbShNruIZxum7t3BxP27cW2FH8Y0Q03jnz5Hpi2D8SImH9jJ3JEjnHbVCwkrHns+fROmFlDREaKVxyAOQ5xUilwux8LCArZtExtDOm+jHIfqXBUTGUpHJrEKabQX0Kg1SeVSWK5N+bE9tJ++jtTOh5l55FHSHQ6WLRm/+yG6Ng3S84rncfwzX6NtXT+FtZvwsgdg7yN860O/w+yX/x7vm29k7sj3aHfP4OAH/hqrWka9+qVc+IO7SRe72D48BX5IJAxWLBEphYoMx2d3YWKNUGCQ6DhuVWvpE9NRlEZh0f7ii5j+8m2EM4tk0jnmH95Ofa6MiCMKWYlV7MZ9/TuxK1PM3Xc79kKJxmiJ4fe+GRmmmLYNoRE0/vbf+Lv2HaR/+CXGf7CNWLmo+Sb13UNYhSzNqQWEpdCOwLFThA0fHbVeS66yyfa2oSyL8ugsMmUjUhKUjeumkbUqQTUk0iFuygYlaVQa5Ps7iBfqpJSiNDXHmn95O/z5p07eiTWRSCQSiUTit5go9p+a6S8rfixcczKDMCt+KtTzmxrC+emv8yRLKo4SiUQikUgkEolE4rdCHqj+6APR+m3+C4DtJ4IvP3KQVijmN5dMJr+cYu8GXgrcAvy+MWZGCPETVRPGmN1CiOPAi0nCLz8Rfjn3VC1iKtYUtECdeONbComyNJEGJ46IhCTt2EThIlGjDbe2iDs3yeTQMKXbdmKEhePHICRKCxDqRAeZRFg2iAChJEIIHDTF05ax5LwzWZi4B391H/rJbYSiQLEeobyY3Fnn0SiuRedy+GddjWtAykUi46OFRMaKkbpPT6GACmtUu9eRqo/SaF+OdfhhmqvOx104RrGzB88NCOdrqBg2veVa1JYzaT58O4vnbybnNRl+4AHcswbwj47i2D66q501f/gXzN78OSaO7WZudJq2JVmsWNBcbDC6awjlOugoRKRTqCXtnLv5TJ78xh2k+zuwJqutE5HQdA8uoTlRAmkYuGgz++59DBlqkBIhFHHYmsBiLBvqmtHv7UVrifQjIqOxXEE649IMfdycIihrpnaPY4RGKMHI3GHyhQJEAargYuYDpGkFGKQQGCFAtSbwhLUAEUmMjJBStuqlBECMMa0pM0JAs1Zv1fXYNqExiFZWBstqvbyEEGhjsOxWzYxEIgRERjO3OEfxyg/xzdP7eeVb3s7vf/VGOlJNFpSDZWIQhrZCni0vuxZXZRnbdxhjIJfvZ/0Sm8r8NHZUJx971C0bEWlG732EaLGK2eSw7KINtGWX4p93HWONiCW1J0kpSbljkKaEeyfrXH/2BYzd8xhxE2JLEGifzo5uyvMl0AIjNMaRFAttLMwuIgJNbBQm1BitieuGWITEWuI4Cm9skf1fvJ2G10QZjbEFSreey80opr1YJF5oUCmVEZaF7HRROma+UqFLF1rP+awDWhCEPvmuHHbOZW5khiJFLEtSqzVYuG87GZkmmPJpW7Uaf+M07cVegp17aE6XKR+fZ2TnIZa98xqa+w+hP/Zn5KOQkc9/nvZcnsO3fBc/qONZkuqNt7LqOWdwbP8R3EgShhJXCLSMoAmRANsWxFojYoNAgeCpyS9xHCOFwpsuc+zTN7LyFZcRTi0wvu8gjrCx8wX6Lt+CcFOkN22F7/4bO257COUIMAKMIcZCEVI3GsuPafuvr2EyirBcB40iri4SWhbB9AKZOCZqeAhXketoozw6AwikJRHKJjaKhelJrEIbvWespOeaa7hJrOGu3Q2++MGPEpHj1tv/hece/jzB6DhDNz9IKuvQuaSPmYWjNMMAmXYoj86w5KSfXROJRCKRSCQSiUQikUgkEolEIpFIJBI/h3Hgx/uEzwXagPt+ajuL1jSO31zJ5JdT7Y3AJPAaY0zzP9nuGHDaM73zkx1+6RZCXPYM3E8JKAJnPQP39Qs5XKrTm3FplwqhDTEhUSAxOqAjbTHQnaHvvLVE9QXYO0m0agM7/uVWNr3pctyOLP2ZNkaGpp+aGiGlRCkJIsaxFW39/SxMzhELQUd/O85gP6O793P6W6+HjuUsDN9L1/VXEe7byZIMBD3rSHWtZKER0e4KYqGxhIVvuTgL07R39FJzHGYrCxQKDkoHGKcHGwdr9XkQusjRgyx71/vwKofITEyw/667CC57JXrH7Rx/YB9LX38thz/5KWhKTHmC5Vs2UhUWy1/5EoQWFPtX0Bwe5uyrLyI1uI4jX74Z24sxgcbJuXjKIZhtIBcCdnz7blKdebJYpM4cZH7bXkRXF82xeQbOPY3pw0OUDo6QzaaRbQqvVKe92E6tXMHEBhlJnJ52dNGltmeaMIixbRspJUEcIHGJIoGdttGBxmha4RYkQd0njANiYgC0boU4tJRIS6GFplGv4wgHbIMUFjqKEEq15roIAScCLnEYU2gv0Kg1iHyNtAUi4t+n2VhWK1ijFLZtt463EMiUjdIC4xkW/tt/Y+AvP8GZFz6ffQ/fw4YXXMljt96LEQKBwa8t8uCXvgwiRikBxgXZxCu/noeuUnhHjxDaDnassdZ0Uz88TecZK2h72bWEG19E49GbyIzfz2BxJQt3foOJx/bTe+XlHNv+OJdsWM+BffuwPIuIVjVVT7GHxVIZoxUSAQjSuSx+06ejo4P5qRKRDBBCIhUYLWlUfYQQRCEI26LZrKOC1vPQAMJIYhOR7cgRlGt4VsCy09cxs+8YOudi+5C2Ipa/4UXs/eQNhL5B2RZOykIu7SaYnebs66/i8C33YDzIug7js4sE2jD4B6+mvPsgtf3jLDaPE3o+QSNCAHElYOTvv4IJNMYCW0giqanm0sS1kFAblDTklxSZPjSKnm/ga4M8UbGFkdhK4ZsYJ+WC8TBatI6j+bEaLEAZMCKmXmkyevtD5JZ0IBoRut2ha7Cb7BW/S3R0G5aw2XP39xEiC0ZgBFi2jTGaWEkyWLh9HVRm5lvVZ7EmCgIc14ZYEkYRtrYwbTmUbdF/5gaqlQpuKoX2IiytKRQcqqku9J//M0sveTvmm99ASIMbNqkplz/5wO8R7byDYekidx3BsxSR5zP68D6MrZAOGC/GX6iSSCQSiUQikTh5RLH/Jz5+JibB/KzJHz9Ri3SKp5QkEolE4jeQmznVK0gkEolEIpH4bfAwcL0Q4hXAvcBf0no385af2u40WkGZ31wimfxyiq0Fvvczgi8Ac0DXM73zkx1+uZTWC+6ZYGiNcDolujI5pAWLfsyCieixLVwBywc6aPgBnRv66Fu3BLu9H9Xby96vf5VMMUuGFL1OjrHhKUA8VZtijEFIjdXmoqsRi1MljCtxQsmm37ue+akhxu95guVnLVIxB+m77loaMsv0kSMse85zGe4/g2IzIPQihGuj/DqxUFiAch2knULUfDLZFKUopsf4hDJDZvw+ZuUSuhsz+ED5pn+i66zzaVxyPQNbX8nCbZ+jetdDRNWIkY99BkIHS2oybTnat15Gx4r1WJZFHFRwTjuDhdvvprlbYdROqMc0qx7Ksmg2amStFFFa4s1UEJbBK9eIKx6L43PY2TSFtjbm58oMPboXlXUJ6gFB2cORis4l3cyPzaJsizgMicIIbyyAoRCjJdK1IGUQ3SmYjYiaIcqx0DpAuTZCSs59w4sZemQ3c7tGybhpvMjDSjtk2rJUZhYQojXdRUQCV7kIQLkSNAhhg2gdJ6MlJjJIW0IoaFTrIBR2GmINwvlRrZH71GQQIQS+7yNEK+RkgojYFrQV21Gnr6Sru5Nvxzdw6yf+CWPFPH7b9xBGooU6EZ4xCGNhtMDogOv+4i951bou/PwU7rp1LM13MLFrLyKO6DpjkOIbfpcxdy2lxSqDZzyXzK7vsvjoNmYOjRGjOXrbDyk0AnzvwIlqKXCdVq2T53nkC1kqpQboVsrHr3loL8DHR1oKzI/qfv49/GGMIWgGKEdhpSRhHCCNTRRFxDpCWgId+Sx/3hYa84vIrEv31s04CoobNhPPzdB4/FBryk4kiEREKpuh+uQwVqeFXLuJla9v5/gXbmRhaBI7l2bZ2Wuo3/0Qlcl5gkYTEQnQrcc7EjGtTqtWSEUag1YGJSS6GdK5sp+Jw8NYwqY2VSEKQpRrg69BgMGgbEkql0ERE7W5xIshUlp0uBnqlRqRFxHHJ0JUSIQyyNjQnK/hLdYorhpg4GWvhJUbmPj6x1BHhlkYL+OFBRxbYyKIggDaJHbaJViss+SyLUw/eQjXcQj8kEhH6EifmIhjIwJoVKsMbF7L/L6jHH1oO+3t7eQ2rSJdC5k5Nkb0R/+ds9/0abzL3oGb60B7s8ggom5FvOgt7+C/5Y8yfs+9LLvyImb6inBwAmVaU4+iOEaGFiYM0ZrEKVKpVBgeHWNxsczFF12ATMb0JRKJROKXEEUR45NTDI+OsXZwFf19vad6SYlEIpF4llsslxkaGaXZ9LjwvHN+4pdDEolEIpH4eYVhyOjYOCNjY5yxaRPFYsepXlIikUg82/wN8CrgxhMfC+BeY8xDP9pACLES2Ah89mQv7qRKfjY51Xwg9zS2Ww6Un+mdn+zwiznJ+/uV8aIaUuYQVkhe2BRpshinWZydIa1yrHv9m2luXIdYnGfsIx/HWagzu1Djh5/6DiYyGCMI/QhltwIXKCAv6V5SZH5oASEEhhg/CvFNTOeSJcymbfzTNpHTFs3efpzJo6x62X+BJWsYdCMaUtJvGeKwCTpGhA10tgBxgJ49xGC2h6Zj44WKpt2GCpscvfceel74JuhZiZ6dpud1v08juxaEIP3gV5l89BCVekRnR56FUoVcziH0fFb+8R9jCt0oaSjPHKP6yH3kzrmCtVdvZf+X7sZtGuKUpG1FkfZsO+VSiUJ/J5PDEyjHIg4CjDDYBRelFFEUUTo+3qrUsQ1Z26FSWmzdZgy1hcqJ/0jROCkX33jYliIEVKTRKYPWBqvkYdUFngVWEBHFgrbuduq1RQ7e+xjNcgVZUNh5l8ZwHSUF1cUqxrVo72xncWyOtZtWcXjfEVK5PHG1gZGi9Xj+6GRpDFoaIr9VwaQDg7I0+UKB8kIFqThx/CKEEmhLohAIWwECowS2rTBaU1mscu7ZG6jvup1GRztbv/Y2nHVnc+DFkvQf/j3LXvxfiaSDAgI0Gy57Gc1Gg6uW25zebXP7Yg/PO+9qUpk0/j2vRcYS2RsTHnmM9LmbmRubp3tFJ/5d91I6MEkcx+R6C1iOTTClKU2XcO0UNhZhEKOMpNH0yOTSoA1SgVI2kRehjQBMq6bL0iANlmURhSGWZbWm7vgR2o8JA0EUGYT2kbaF5dh09XewOD7L/I4hLM+nCoR+gJExpZEpsl0dTDy2h/ySXrzxeSyrNSknJiYvckzdfAPzUyXiKGTlq6+mOTdF7cgxqsen8ILWsWg1xrVOM67joGyJMJK638RRkhgDKZsYGHjpFcx/5su0rVnB3P7jSClbARhLILUgk89gLIGdswmzaYr5IrPVGk4lpBrVSTk2oR+0aq20xsQhJ3IwaEvjpFM0m032feFTSMtBj5Rp6taUJ6EMGkG+2E5jsYIINO2bl1I9OEZp/3Gipk+2v0jGbz33C+1t1Mt1Yj9AIhAdaXQhx+A7XsOBT36NUHkUMlmk9HBXd5LaeSOVD5/G8S8fxV4cxe1wqXV24oosfVsOMfbtu1h/xRkcv+VO6lNlJBGhFshYoh04623XsfffvoNfbpykM2oC4Bs33sSOXbsByOdyrFi+DNd1eOd7/5Q/ePPvsOWMzad4hYlEIpF4tnn///+3ACilGOjvY8WypXzq/3yRrmKRt7/5jdi2fYpXmEgkEolnk89+4YscPdyaFtXeVmDF0qVoo/nKt27k3X/we6xdPXiKV5hIJBKJZ5v3f+ivAbCUYtnSAZYNDPB3H/04G9at5Xded33yC2GJRCLxNBljDgghtgLvBrqB7cD//KnNXgjsBG46ycs7uZQ61Sv4pQgh3gtsBTYDPUAKmKJVYfVhY8ze/8e/eyPwLloBpwDYBvz1jwegTpLdwHlCiE5jzPx/tIEQYjlwNnDPM71zYcyvPo8ihIhpJcxmgf/wgPyijDFXPJP393Td0LXBdCzPMzexyHPfcCVPfO+HxLXWO9/lCrz2Q69l/6OPM33vYaxVbfhBhBUbdAxojVIKoySgQUEq45LqStE+2MP44yOketIUlvdTOjbClvf/If74BGLleqwlZ4I3S9A2gH3bJ3Euey2e7ZDxYwIRo5WLDOpIo7EbJYztUH34NoLNF9KR78J0ryaolbCmp3Hmx5i/8HlYZQnDd9PWXmSu6wKUFSMqY+R1hf0f/CAiEjiFDN58ma5l7XS+66+o3/QZ1IVXUBgbphIFTOzaiZhaJJhsoq3WuIhIakysW1NSnFYgRMQKO2UTtR4IlFI4to3vhZgwwghI5zOEYUjghT/xmEtLsOZFW1Hr1jH2xW9ijKFZqhA2IlCyVW8kJUiN255FoglrISKASMcoJRF5i1xHnmChSqThtJeex46bt6H8CDudIpYRUdlHxBqdsgkbQStQYSRCC+I4bk1/OfFHCNEKiNg22kQIKZFCtFKFUiCMRGRBWYLeM9Yy8cQhpBaotI1MOaw7/wzC5f1Mfuc+6E0TDJVb92M0wgoxocD7yvf55h1DnLZ0gOvWhMw1YKV3AEhzrH2Qg1N1LhwssvCB1xLXmljZNixZoPNtbyUzvJ/tn/4SWcvCIIkaDTK5LOV6A90IUQiiICYOQoSlsOwTk4h0a8pIEPm4wkYqG6/hE0URCoG0LZCGdMbFD0MiP0IYiW3bhGFIHMfEcYxlJE57awJOrpBFpCy8+QqBCXCEQyAtRDMA98QbLyKiUMhjLe1CFDPUJ+YJD80CECtBykTo9na6zxwkLWDqgb3UwtbXYaRBnJj6EhMjtGiFygDLUfSct57RnYdIOw5pYWFvWUuqM0+Pm+XYfY8SNht0rV7JzJ6jhHFE57Ie5ssVVr7xeuozx5jbsR/3SIlGrU5oO6gTU32IwUhzYrKNQRgDlsBJOejAEBuIoyZ2bBOL1rZu1sXNpWkuVDGSViXW/2XvzuMkq+r7/7/OOXepvfee7ll69mFmgBn2VUREQCUiBnBfo9GYoDFRv/H3ULPoT6OJ+o1GiQbcgpgYREJAlEVBFtkZZph933qmp/eu9W7nnO8ftweNAUWEHtT7fDzqUZd6eusAACAASURBVP24U133VPWdqq6qd78/AoynKOZc4iDGc1yMEuhI06rWEUJQ6eog1AmqkiPf0Ul1wzbcYp4oSnDqDXRHO129bdQPTdB53DJibRl8eD2+76LqLVg6gOiaRbsIObR7COowe2kbncedztovX8OsYxdQ2z5BdYGHt20vNlSs+t5tWUR2ptTHn/QJOY5jvvzVrzM8MsoH3ns5bW2VmV5Z5vdZEv/qyzwDNqg/J9f7Sx2Jff4+yT2dMD+IvsXZ88pMGj/wpM8ta9dv4Mtfv5rXXXIxLzzjtJleVebX8GyMPfpV/sfYo8xvjV81zuqp/OJord96nbOz55WZ1JyyhP/7jyRarRaf/8pVGGN535+8g0IhG3PzeyEbZ5T5XVVoy55bZlJt7Elfs9x7/wNc/R//yTvf+mZOOG71TK8qk3l+i37VJBGwT/I7W+bIELOXZc8rM0QIEfiO8htf+9gR2X/xj/6aMNGhtTb3m1yPEGIUKALr+NmIqqOBZaShlouttT/4he/5HPAXQAu4lTQwcy5pPuMya+31v8mafh1CiLcAXwduAV5vrZ0QQhjgG9baPxJClEgbis4FLn221zbT4ZfrrLWXPec7nAFf6V5hXdVgTkcbrXpMb3cHieeRy4dEDZdas8Ge4YgTjpuFHQ/Yd2CE9q4SoxN1+maVEVrgFD1aERTKPtgI7YLszqEmE2Sbx7EXn82mH/yU4///T7Hh0x9n9sf/hYKraJo8FRthGzuJKktwlSCREhkHaOmhwkm85iTNQhH9yC2EDz6Gd/QxFM98GfHurUwuPYOS0FR23ke4/MWYqRFqhU464wYqqmGSBlJHTN1zM7v++25m9fUx+y2Xse2aa5n1zreSdwrs/Id/IB5vMv//exsT/34jU3tGiZI04KIsqJykJmJ6F89H7ZtidHQUi8TPKUqlEq0wJgxDlFJPpLfDMETKnwUohLXp2BrAKIvnShZ/4HLyhRIiaRHv3sbQfWvpXr2EpNjO4A030/vSFxCGCXtvuANloJArUijkmHXictZf/xNcJUmMRQlIpKRcyjE2WkOR7ke6CqUcmmGVJSuXsevxnen+I4vWNg1ZWAvWPlGbJdy0AcUYg+N7eMUccRziFx0EDhNRnRUXnI7X38WOq2/FcXIkrRATRCy65IV0vvhCtvzdR2g75XgO3bkGKxQmNlgpsHGCyQtwwdOS0glL6TnvYtwdWyjYBtUXXsahr/wjs4suYyuWM37DrcjhGr2nHcPoll0c/dIzqMsCB7//E5qTdRI00kqSSOP6DsX2ArWxGiYymOmnXyEtdOTxSG9XfapGMV+gVQ0gTh8vhBAIRyEUtND09HQxOTiWjiyyFs/zCMMwvU+lROQEpY4SnuczOTmBTUC2NFGSBqCeIAxWGGYvmMPwvpGf7Uta8t1lbE5hQk1zpApJOtZI2XTkEk46bqk0vwcUmEbE1P70uMt1lVi0eIC92/aSqITO3h7KZ5/CyINr6PQrjAzuxe3oYOrxPTjSkgCio8Cxl15M0t+Guecxdvz4PhpRhCPdNPhkLXb6TrMyDUO5rouONNZJb5eO01FZjuNgE4tGk8vlcPNOOmKqGSDzLoVcnvHaFO25IspTlPq7iaoN8gv6GH1sO9Jx8Iwg9tKWmaDWwPU9Oub20pis0pioISLzRCDLKHDLOXJze5i3eCET+w5ycNMuZKuJKwr4nSUcEWJCB9VdZuzx/eQGCtQPRcz9wHuYVR/iXdsKrFi8nPedf2z2i9lMeYrwy2EHDh7ks1+4ghOOW8XrX31pViuemRlZ+CXzdGXhl+enpwi/ABhjuPo73+XxTZv54OXvZlZvz0yuLPM0ZeGXzFPJwi/TsvDLzHqK8MthO3bt5p++fCXnn3M2r3jp+TO4sMwRkYVfMr+rsvDLzHqK8Auk41u/8rVvcmBoiA+858/o6GifyZVljrSnEfD4ffW0gi1Z+OXIeJLfj7Lwy8x5IvzyjY8fkf0X3/rRZyv8cibwiLU2+IXt7wauAA4AA9ZaPb39xcCPgDHgdGvttuntp5O2xbSAhdbaid9kXb/mbfhP4FKgCtwDvBzYCqwHzgE6gG9ba9/4rO87C788M3vffqn9wfWP8Pavvo+HP/s9dm4/SNey2bQvKnPU3AW4OZ9k1TzapEuQ99n60e8wNFKj2hih3FbB80EUHfpOXMDoY4M4KERJ4SDQAlTep+/lJzN831qOveR8wkSgjzqV4coxzC5bZG2YoL2T0fEWZd+ny7PEwkc3DuE3JhFSM37PD5l6dD0LX/giTG8f8fFnkx/Zxf7yYspYyo0RmpU+CkJjtYZkisRrR3sucs3t2KLP4JeuoGtuP9Xtw/hzO5hshixeMcDWH6/FQ1I5aS45Cux5YAsmient60H3FOleOIeD9zxOdaSKsRFSeCRxTNusTprVOsqVmMRijKFQydOstlCOQCfp8WitRSgJxlJpL6MKHnPffAkGyfCGR4nu3URrpIFSiiWXvoCp/cOM79+HbrWIWhBXG6h8Hl8IvJ5OqlsH6X7liUz8cB2RMqw4+ig2r92C60iCKERJn6QVISxIF7x8jqAe4LkuzUYLJSVJbKabTxTWWpQvkMLBCgPWohwHKwBXIYUhV8qDMdjp4Mb8889kw00/whnWKF9QbC+ho4haOMnqf/wsk/95DVvuX4sTCJSUREZDbFFKIaQlQbD6D07BErHjwo/woes3c+VLDLnJOpfd1uQn11+HFQGbVie0WiG4gva+Hkx3gdqBUeJdo0jlEkcRUjhorVGOQPkOJtLoxOJ4LjYOmHXsIsIwJKg2CEbqJEkCViJt+kGJtRbH90BpULDqleey7to7MXHawoO0JDbBxcMKgXIMyncI4wjVkliTkCCmG1sE0hFgLQKFm5NEUYQwDgiDnA7HeL6TtspYi0IhcoqO/i5G9hzAVx6xsOR9j2WvOge6u5DlCmv//l8Q2jBw1tHk+2ax6aa7GLjoJbS5DmrpSuq1Q4xcdR0D734Nyimx6YqrCKdChLZ4BRcZGcoLeqnuOYSUklaYTI8tS49TrXUa7hHTzTPTI5AOh10AjDB4noe2CUo4CBcSa7CJQSLIFfLEaArtJeJagNaa9oX91IfGMSWXknBpDo0Rhgmm4CITg1f0QafBIre3wuTWQdyCT9IIcQs+Ub2FQmCkIJYWGadhHGM1cy+9gK5X/DGD4zVqn3g3diwhDAOs8JCuQ77cxvde83+47bYN3HPH3UQP/Uv2i9lM+RXhl8PuuOturr3+Bv70j9/OMStXPNeryvy+y8IvmacrC788P/2S8MthE5OTfOaLX2ZOfx/vfMsbcZyZnoyb+WVmIvzy68iCMkfeMw29HJaFXzK/kV8RfoH0/Zz//sEt3P6Tu/nLP30XC+cPzNDiMjMuC79kfldl4ZeZ9UvCL4cdHBriM1/4EquPOYY3ve7V2R+E/b7Iwi9PKQu/PI9l4Zcj6onwyzc/cUT2X3zLh5+V8MsvI4TYBiwBjrbWbpze9n3ScMlfWGv/6Rcu/3ngvcAHrLWffa7W9STrFMAHgQ8A3b/wz1PAZ4BP2ucgqJINTHyG7rnhQc7/wFns+uZd1EcSLrny3cQ7xlB7Qr5x1XV893O3cuim29HlPMFtdzPkNImSKv0r5uF35Vh60lIG3nge4bYGmPSDc+tZXMcn57jIZkRPe4Vyrkw9lvirzqRSaCPnGrSOmcz14lifdsdl1MBUJBDNfSjdJHHLxPdeh1vy6PuLv6Je3YZcdBxWeyTlAaqRJG+bjLfPZTJKGNOS2CtgsCjjIW1AoX8BI1d/G69lGK9HVF2f4vHLWXne2Xjzl1DqzjP7DefRvqjMtl076VjWhZeXTBwYYWr3fqLYkETTwQDjpeN/XInbU8BxJTZK70dPuoAAYSiWpj80kYKi4yEdyBU9Yk/QPa+PaPsWxm/8AcFdG2naBHdWEesJtl5/L/s2bKat1IlpKmgaJC5UNX5nmYnNB7Dzexn/6Ras1XhSMTg2TK4th2hYfDeHNQm5kk//yrlYIwjqQTqGxlra2is/C3w4DkYYpK/S1ho13Toi0kCMcCQuaZijo6+dVe98Ncv+7M0suOglHNywhR63HdHp0LZwDqWFs9GxppBvZ98Xr2Dv3ZvpmT0nbS3RkASKfOwSWtBOQvvpC9n12CY23H4/s/pcvnDwK/TvWIM3+BjfOd9FSgdpJOpj/4CWmnx7Dh1FlOa2E+0foxBD1KqlgRM0jitxHEn/vH4iN0EokJFGaIWw4MeWpNkiQaN8BzX9c9Jap7c70SQ2IdfZxvjmXcRJiJaAq3CMoaOzgp2dxzUxRnnk8j6Lzj4BI0B4DkIIvHwOYSzEFhtbpIKwmWATCcJgNOg43WcYhmhrAYlwFMWcg5tzOeYtFzPnuAF8LNiEaN5iorY+iGK0UviFHOLFL2L7HQ/hl4u0l/JM3L+G0Vt+yOg3/ptaNWDsv+/ikc9egUgEouCmY5taIcWj5jJ78TJia2m0Isx0AOrwCyylFEqkHxB5OReMSccuaZ0eJwocJw0aCSVJdISUEv+o2RRzOYwrCMOAvOPRbAaEzRZFm9B5wXkEUQuvoZmsN9BIHN8lry2F9goKRaFcgLldzD/xOKwEJzSYoosQFmklVgqEBi8WWA1JpDEx7Pn2D3nstZcxd/99tM8bwF2+kPzC2ZTm97Lqox+h/MVrOG7OLB647Xaem4+8M7+pc154Fv/06U9y24/v5G8/+WlqtdqRXlImk8lkfot1tLfziY98iFNPPIH3/NVHuO+hh4/0kjKZTCbzW0wIwStf/lI+/Tcf5tvfvZ5Pf/6LBEHwq78xk8lkMpmn0N/Xx2c/+XHmD8zlT//yg6xbv+FILymTyWQyz2dCHJnTzNDT51F6U8Xh8UYA332Syx/e9orneF3/g039A9APnAK8GngdcBYwy1r7ieci+AJZ88szdstJq+2+TZpTXr6YbeseoVDroHJ8FycdfxoPP3gvZ77jUmJ3mOaZl1HYvJ57v3EN3bk8ja0N2lZXWH/dZla++jgO/WgLyrq0L69gY4e23hJ+qcDUZB1tAkSg8Zb1sPDNH6TRvYQ9E1WKvosvDbOTCR6PynhSsqDbxw6uh2pItPFeBtduYOUb30S91mJq63p6Xvo68DsQ0TimMp/BRkwjjJjdVeTQRIPZ5RxFkxA7goJuwk+vZeONd3DUCavYsmUT5VyJeW96F7u/cQVGCdq7ZuMsW8zoprUsePMHiNbdgd67heKyJWy88R7EvkMEtXA6ECIgseAI5rzkOGqP7mRqeArhCFzfIVcu0Ko3iJpxOjbJdZDKsuSCUxlcu5nOVUuor9nJxNA4EoVBY4IEhMIIkMZS7CpRG64jjMUtOkRh2rIRBxFum8PC809h348fJUkMjqdo1kMcNMZxMA2NEII4jnGEIo5jcrkcQRCglMJqA4Cebj8B0kYSKZFK4RZ8TJyka3GmRyEJxdyXrGZq225qB8dwCnlEHJHvbqcwr5/63p3Euy2mnJBECS4OIU0WX3oxh265i6gWETc1i95xLqP3r0PkFCW3wP5t+zj6VS9mdN3jxA3Lod3D9Lz+Ysx3buDzb/gyFx3dwye++zB3X2KxymH3ld9AqIjxx/fjSeg7fgWHNu0gqEUI18Eru0SNALeUo6O7A9Pfycj9myh1lCh2lKlP1WmNVYnqEdYIpAXcNKzlyxxuwaNlmuhako48MoZczmHZZS/B8RSbv3kz9FZYduzRbLrzEZQrCRoxNtEYkzaopM0pgJI4rsQYkzbTmPiJsUKOkOCm4RukJF8soI7qov2cC2hra8MzDju+cAWTzQlOeM2rOLR+A6OP78TFZf7ZJ1INJ3HdPAce3MjRl7+WHQ+vpfXjtRhkOmLKGCzpm3SeLzEKZFcRW4+wkSaoBzjCwcr08VLadJ1CiCeO8UKlQBxGCCufeGPP9T2sSdJWIAzCCmTOJVfwEULhz+0inqhR7utmfPcgtWaLzrYKhXKJyZEJonqTGIMK0/CVluBNB2HcrhKO5zK2bRAhFJ6EXF87nptjfNcgsRYIkTYHHW6rMSZtKUrvU7COJHItxfY8QhcxviWOGhz/nj/lbTce4NE9grX/+kdZKnmmPM3ml5+3b/8gn/3nL3H6KSfz6j+8OPvLl8yzL2t+yTxdWfPL89PTaH75ecYYvv7t77Bl+w4+ePm76enueq5WlnmasuaX336/aVPLsy1rfsn8Rp5G88sv2rp9B5//ylX8wfnn8bLzXvwcLSxzRGTNL5nfVVnzy8x6Gs0vPy+OY6648muMjY/zgfdeTqVSfq5WljnSsuaXp5Q1vzyPZc0vR9QTzS9Xf+qI7L/4pg89p80vQog3A98kHR+0wlprhBDHAWuAEWtt75N8TxGoAxPW2s7nYl1Pss/3Ak1r7VUzsb//tf8ZCr/8iDT8cpe19m+f8x3OgHuOOdN6K0u0F/OUF89jzffuZOvmgNNesYjOowbY8O17iCM47mWLGbEetbEJVh6/gjVX3UdvR55CXwfz33YmW6+6HWMMRljK7TmSxGCLJXIYkjjE9LfR6ZeY+yfvYqJ3FY0gpBFbHGmZ7cLWKvSUBX26xsGrP4ceGiHf08N4tcri004k6ugnHttN23HnYNwOVNyk2r2A7UNVFvVUGI8scauBlXlmFyzO8CbkhvsZ37MNp28Bo3f9lK5LL0LsOkBt7eO09XYyvOsAZqpBYjW5gsuC//Mh8nOPohY3CXeuYfTr12D3N2i6pC0j1uIVHLQr8IsF6ocmUUaiSZthEAZrRDrexxU4SrLoLRcyfPsD5MslxvcfQgcBCodWvYGZzrRJI4g9jWyBtJAYcFyJUopCZ4H6WAPXE+TbysS1JjExTqlEdXKSUns79bEJpPUxUYjjOCSJQWqbhlikfKLt5fDXJkzQyfSwHmlxcz6RjvE8D7TBK3h0Lepn785dOJFL1+JepO8wvnkQxxhErkC+v4QJIpCSyV1j5Dp9TJCgtcX3FZHjIuIYm1i6O3uJv3g1uWv/lrbuTrb+6004uIiyoNUIaO8oU61WIYaBoxYxalv4oWHJX34EqDHyrW9jGw1Gtw5RS0LyJUXx89+l7V/fQ3wQDu4/mAZWpKVQyhPUG8iyx8IzT2D4se009o4QAjYySE+ClcTBdKDJFSjpkmvz0IHBBAlO2cMqSzIV0j2vl2YcELVCTJDglosE9RqOdUmaEYcfdazlZ8EXTyGEIInT0IsxacAIwM976CRJfx6OAClZcdpq4oJifHSCApY9O/fQv3wpk6Mj6MkAW2vi97XDVJM4sCRGY63Gz3n0rlhIXG0xsn0vBkkSxOnxl4Dqy1Pu72J8434MFmnScUxSynT8E2nbj+spjE4DM0YYcnmPRtCi4BWIogilFG5O0Zw+vtp7OqhNTtHW04XfWaG+6wC0FVh0/LFM7D/IxIFDNMfraJ0gLXQvW8DkngOgLXGcBsOsNkSOxS/ncVsG4Tk0J2oIDXY6iKOUQrX56CDCJiYdK6UFOk6eOJ7TXKjESo1B4+JhlMXJS4glSy44na/Ov5D3f/BKwoe/lP1iNlOeQfjlsFt/dAf/ddP3ueL/fubZXFEmk4VfMk9fFn55fvo1wy+HjY2P8+kvXMGF553L2Wee/myvKjPDnm8Bmsxv5ncuvPKbysIvM+sZhF8gfQ39vRtv5qE1j/Gpv/nwc7CwzBGRhV8yv6uy8MvM+jXDL4cNHjjIpz73ed7xljey+thjnu1VZZ4PsvDLU8rCL89jWfjliHoi/HLNp4/I/otv+KtnNfwihPggcDRQBFZMf30AuMha+8j0ZS4CbgDWWGtPeIrrmQDagYq19jkfJSCEiIGbrbWvfK739WRmZKC7tfbcX32p3y5bd4zgj06yZOUA22+5jbpriPwi9/9wO686dQUvec8r2fytnxJ2tXPyqqNobByjOT6GihOGR2vkdY3VJ3+I0v3rWHDyKrZcdwc1Bavf8UpGb3mQ4aFRKp1FzOAkHZedSLV9AcpqispBIPClZmfT0JlT1I3FSaoUOjsIOnOEtZCORcuxJ51PfucavJUvxI4OoXqKGCXwx4c4tgCBLhPFmvZykYlmgsoV8fIl3GNOpXNoiDA0zPvYFfjf/Dj+a97J5IN3M7I3pGduHwfqO8iXK8w6czX+wFJaiaUsFPu+9m1EoAmcNJBirEG6ksqCfhr7R4imGgghEI5AWUWCQWkoVHLokk/ec1lw8YXQmqBWq2Ha8gijiazF1OuogkcOhee4VCdrlL0StbiONBKBRhsDQlAdqWGlRTctrdYoxhjaujoJ6g1Wv+HlbLj2dmQsyRckjYZFyxhh0/CFEOkbM46nMFpPhxEkVknk4csoBUqQVz4JCcJ1sMIwNTFO3jhE1uAVPdxSGdpGsIlB5gSdAz0MPrqTsBriOIqwGqMQGCDnpGNzEiOQUjByYAj11vPpu/hsShQQiSFWEaIuEVpSHW4gHEH3sQtpBgHJRI1cucyWT/0Nlf4ORrbvIWoZiMG10JwIOXrzf7GzniBMgpISgyZXyGOwWKFYdOJqDty1FistiXCwSdroErfS0IeUCiMsQli0Z4jCEMfx6Jzfy9j+UUwSIfM+Y0NDaK1IiPClg+cIhOvRaoVYJWG6TSdtAkuPh5Zp4Ss/DZQYg3IU0klHNFnP4ngeQTMEDUpYNv10DW7ORZTzzHrleRy97Ci0aZKMTdKMmoQIxFiLMAzpPWUFh3btRUyENCdahImhfnAc0zJERmOtnW5/0bgHLWOHWghjMUKDlAhhphtp0uoyQTqaykoLBoQUaGPwPRdtIpyii9AGqRwK7T5tvR2QdzBhk9zALMYf2orf30Z+YBbGaGpBHZSD73skLZCuZGTPXnJuDlFwmHfsanbc+xDlSolZ55zM0M49tNbvJq43EVIinLRtCAxOJQcdeebPX07b8sWIyQbrb7oD0QBtE1xHkYQJVhgEAs/1yOfztIImLi7WNRx8ZCOvGznE5Xf83ZF6iM38ms4/9xzuvPueI72MTCaTyfyO6Ors5H3vegfX3XhzFn75HfBshiWyIM2vLwurZDLp6/5LLrqQR9auO9JLyWQymczviDmz+3nbG1/H1u07svBLJpPJZP6nI9uQ7wkhnnQ+n7X26F/zui7gZyONAPYBbzocfJl2+C8Sf1nirUEafikBz3n4BRgCjtjsW3mkdvzbbgqP9o4ip370dYw0W5x47kpWrTKccPxSZpf62XjzXdiVHcQPDjL62FZuuvJmtty6nVpkEUIgHcnmv/u/rPzjd9MSgsnJCL+VoFa8iPnv/ys6Vi7ClYp4VonyC16J4xcpCE3JSyh5BisUuenxLBVXordvxr/kz6m88OV0RZLC3v1EfhEpctQf+yEKC1YTeRXIe4BEypipRkC1GeJJwcFak51OP1Y6iNe+n9rF76AyuhbzR39NcGg/hZqLG2omBw9x3KUvRQcRZnSE2Ai8vetp/PuXiIcbtGppIvfwWJhcqcD49n00Gg2iIERKiZdz0xFHVuCXcyRak4zXKZfLhBWfPT+8n4KfI6cFju9RKpdRrgOhJmyENJsB0kqCZhPXVQjXQbnp2JzDlJUgLRKF4zjkK3mcfI7Hv3ULjk6riKwQCE+iIzA2QeUchBA4nsLzPBzHQaBASaRMf25IkK5CuRItNFoY/JKDdByEBZF3cB3JoR0Hmdi6GxkmODjketoYfGw7TR08cf8AWGVRBYWpFLGRYf7JK0iChFi1CDBsvPZWNl9zA1oeHrUErpPeThFLRtftpn5wgqQaMrl9iNr+Q1THJ2hNNGnv7EAIgTunjXmnr2TXTT+msWmciT1jRGGCiQVBM6Q+Vkdow+51mxgjZvGrLiCklQaARHp7AbyCi1d0kUbiWkGoJOX2Is2wyZzTllHsLiPaXZb/1Z/T21Wiki/junkc6dEwMVZBri2HdB00FitFerKWosohjEDIdLtXdEmIsBWPSlc7QdSkY3YHQlqS2JBgEeUciy85F7+jA3/hAsY3bME6krgVoWNDoBK8BX20n3028xYuwiDQiWXvms1Up5okOh0HZBONjhJMZAnCEGksUqTHTi6Xg+lGlZ811qRfCSNQnsKKNBgjix7FgR5yXWUq82dhfYWMIkpL5tIarbL4ogtxch4CTXhoiubuYbbd/gDtp51K/cAoSRgTx5qgGSAjS+wI5p65iqFHN3DMH5xD94qljPz0MYJ9w2Cg2FGhs78HISVWGJQUmFoL91CTPfetY/1Xv8fGm+/EtkKMTZCOohUEODk/PZYcgRIOQRDgFwvEcUypvY384n7G6wHN7/3Tc/5YmslkMplM5vkpimN83zvSy8hkMplMJpPJZDKZJxVF2WuWTCaTyTwJIY/M6VlmrX2JtVYAHcALgS3AnUKIn6/TPJz0+WVNajOdBroFeIEQ4og8SWfhl2doYSXP6NggD1x5FQMn93PH9RvpKS5iz5pd7Fu/lmO/+UWOuuhUpiZiHrzifo4/bTGnfuwyuvrydPWVqOR6mPeGV1Fb8xCDt94HZcWxf/sRZKlErd5g7vs/zaL3Xs6xb3sbeuuDYF00DtVIknc9EgxBFJFIQ5tniRceg41DvPvuZNiVOMvmEqgK4YKl2BXnEgkIFai4hlZ5pOtQmNrPqh6BlJAIS5IkeLki24oLmcSjFQl2zDqL/MRect0LKK1agsai2322PvgI1pH4yoWx3UQ7H2f3XetIpxhN/x9SEi0NpVntWCPwHJ/22R14nkP7ktkYLKpYwO/I43eW8Co5Kp1dHPzX71AfGibn+4zuPkA00aB+aBwSYHocjtUGIwxIifSnWzaEgzVpmEJKidYagUL5Dm1dnQzvPkQw2sAVCqkVUiny5TxCCPy8hxQOYRgiPPlEyAQhUI7AKIty0tFMju+lo2WkxHVd8vPaQViiKEEHMcX2MsJYZCPGaovre2ibEO6bRMYey1fNp9xZoW1xJ4V5OVa+8/Ws2SGjhwAAIABJREFU+oOTGBscpXvVQnY9vAErBXm/jNOUiMClVmuBddBaY00a4MgXfIwAQdog42gHKwVOqUx9T5Viezu9H/4Ei//1KrTWjK3ZSnXLAeI4xvUdlCPQWuPKNIhUGmjHdV2Oe/XL2LdjC8XFPSxYvQRPWrr7u3ALLsWuSjoiKOchcw5zFvVRqzcwjRZ7HtpMbbRBtH+KjX//JZqBpdkMaLVajA2NIlqWcrmMbcagLXhpK0qxvUClu8C8s1cRmgiEQjoKHcfMWb6Acj5Hc3yKvuOXkFs+jxXnnopIwCSWzu4ugqmIZrGdZPd++s57MfNf83p0bHCKHoV5cznqZS9i/VevZvtj6wmrIRaNCg2OAc10GE0qxPTTgu/nCMKQyKQbwlaEkJJ8JYdb8DCCJ1KjwhFYYXA8B5X3qLS3pSOygohqvQ6tiNmrlzO55wBuIii2tzN67yMEIQRhk6m9B7FJzPh9D7LksgtY8d53svSElZQqJZRy8JXEaxpsqBGuQ6lSYmJ4nGS4jo4Nzak6k4fGsBocR2GlILGCVqsFocVogQkTlONiNCRBghIOcTNCa42ODUYyPU5KIdvyaCXg4BidhTyDj2yb8cfWTCaTyWQyzw9RFOG57pFeRiaTyWQymUwmk8k8qSiO8Nws/JLJZDKZnydAHqFTmjGJrLVHP9npmd4ia+2ktfZu4OXAI8DHhRAnT//z4SaX4i+5isPzuOrPdA2/pg8DGrhGCDHjdbhZ+OUZGrcjrD5uBZvvGGT73WPkPZ977trC2X99Dut/uIb73/Uh7nj/1bzg7/+IWOUY3VvjR+/6MqP7Jxg6OMbcly3gka//J43NW6kNj3HaR99HdckZGFHAmX8CQifUBk4iXHw6yTHnIINhdFLFcSW1yACSkueTQyJiy0RlHqZZxT/9fBZe9AYGh2JKzUNoDeXGQTy/hLLAoZ3gFhBhHesXSGSFOUWH+UVY4IQkQZ1WaEi0ZawlcBNLq+tYxrc9gPRCCotmY1sJ0YEJnEIOVA6vEbDnnofQFhKdBgastCglKLaXmNw7lG5TlmiiwZLL38qeHbspHr+EeS9YhNfeiWyBCWOGqqPMueSluK7PyP5hVGiIBQgrsdY+0SbzRGtKYklqATInEY5IAzEYNBqpVLrNGKpjU1idfsgfNWJa1RbElokDkyjhEAUxAL7nYeMEHUa06hHKSCzgKQcchVfxyZc8hIIoTIgjDcMNnJxPz8IejDFMHBjDOpAgaI42aY6no546lvZCm2XDBPDJz+MDhbxH874HWHftT1EIdjy8DhNakJYkSLCJRgiBPRwoshIdG5CWoBVhrU0DMdYSRRFGQ1t3G8X2Av2rl1Cp7iK85rPYyYDS/H50kiCEIA4TdKhBG1rNJo4rCUJD94Uvxin24B+s05+vcGDjLrRS1Js13JLLkhOW45VdtAoZeOdF9B13AvFkQM/iAYqHQ0Guj7WCyakpsBIpHKQQOK4kbDRRnsL3BP2nHcXKy99E6YzVLHzZ2Qw+sJm8kyOXd3CUwCvkmRwc4ahXnsfRb/5D3PYS3atPQLkORhpk2Ue4DsN3Pszwt76FWroEtxby6Cc/g8q7rHrzqyjakF3/dgNmXw3ZNEgESroILTBxko6cinUapjIGTHo/Ok46Ee5ww0tioVUNCOsBrifg8HYTo5w0gNU7ZxaNyTpdy+dTrJTJGYFwHcIwJggTgjjgsX/+GlRK2A6F7+ZoXzFAYf5s6qMTVB/fysZv/Bu7Ht1Aq9XCOoL+c09m42330LV6MXGYsG/9FkQinviZCyuJwwRrbdpUlPdxXYmf9/FyLhJB3IrTcVGkVdM/31ojpcQITaGtREyCqxyq4xOM7x+h0WiQjMzU82Amk8lkMpnnmyiO8bzsjeRMJpPJZDKZTCbz/BRFMZ6XBfYzmUwm8wt+R5pffpG1Nga+Q5qyecX05r3T53Of9K4Qokg68mjSWjsTI48A/h5YC/whsEMIcY8Q4ttCiK89yemrz/bOnWf7Cn9fzBvoY+ND+2jzCwx5ES9/2wVc86Uf0BpqMm/lQnJ9ZQ4+vIFg00bm9JXRssXyc46h65i53PHlWxi7bzfxyBSPb97FKX/9ZrxCN1NAbnwvUz0FUD7WgGMiTKGdRmSxOChtqEcJ0misUtQSQckFYV1U+2zM9u2M33UHvQvm4sYRNoxAlYhnLcWaGLrnI5pDiFqN2pxjyGOJkUzFLo0Ibt50gA01y44NO/n8286iYUELxcDAcYSbNuPnA4JmjFaKZKJBnYDW3d/HjtYxyiCMxsUlbvOxgWbBB/+CHR//R5QL0nNwOiuMXnM9XTLH0te/g3D/enRpN+H4FL0DA9R9wfpbf4QXJ1gNkYhwpYPMKfxSgcZ4FR1bHOEQ2zSwgkwDAIc5TtqQ4khJGMQIK0EbhLVYBGiDl88RtYK0OcWkY2+kK4kjjXLSoI00EMmY8oIu+k86mpGfrKU+USewYBKDABwJSQxumBDXAhKVjscplAtEQlMulxk9OIpEMWfxYub8yftZ/6H3Ia6/grE9EwgvYNalx9O3cjH7r7mFvJPHaIuIwbGQCIEwP2sYEVamI5nyHo2pOsIIvIIkSrMNKAtTQ6PkygWG1m5neNdXUUEajhjfOYRyHHRsiKzGMyId5YTA8zz6j52LXP0CnGIbyQ++z+juBgNnHMOeu9dCKHHnFnj0x/dhBUih2HvFTZR6yqx8/2VsufJGTJDglT3CaghW4zoOxhoKlSImCek5eTmdc/pYf+M9GCdhxaLZaFdRkZb99z6Mt6SPBeefS7R7GwduX0d9okbXitlsvO0nLH/NqyjPX8iee++h/ugOtHTwlKA+PEJiNXFVs+Hqr8PeSTq6O0iShPs/8y0cIbGuwUqLaUqEtHiVIjYMaVYDlEofAoUQCJX+3LEGlIM0FqsEQmqksiAcHN9BeS7oGKNJg1MKuuf0UFk8m8mgwcQjO3C729IGorYcOgxZesaJbPrhjyj0dtBx1BwGLnwrY9/8EpNb9mCsxcvn6Tt6EY2H69TrdTqPX0FzzXaG7lqDlBKnVGDdrXdRCHmioeZwAExOf+37Po1aAysFQStECAEmDbsopdBap2lHYUEJDBqRQMFzcYTEnzuL6NAEvp8jiVuM7z2AcI/oXMRMJpPJZDJHUPZGcubJiM4Z/4OdTCaTyWQymUzmSUVRRKVSPtLLyGQymczzjVRHegXPpdHp857p8y1ACPQIIeZaa/f/wuVPmD5fNxOLm/bWn/s6B5wxfXoyFnj7s7nzLPzyDA1umWDxSxYwp6+Px//jAb7zbz8Gz9Ctuthgplh12nJWnHEW9339P+l6wVw2/Pd6hvZtJPnRNrQTsnPDJKf8yZnUtw5y8Lp7OOqzF1JwIhoDq2nVI1ybkHMsyi9ghMB1FK04JrGWKLbEVpLDEiZQDiZouW24UZ1w3tG4XY+gWiG1B26k49jTqe24H9G3ALn5TnJLTkfWhzHFHqbimEAaothlXzXkug17eeXR8/je9Zt57x8eR09Z4QmBEJZ9//VVgq0HMTkHZQzKczFa4+Z8cp0dmHA9SMu8t72WysFdbL/vETpfewHBxAHI5/Adiw5iWkPj9C5bgnPG8Wz9u4+gW5r8ynnURyYIx2tgLTmAgkfOLdL38pM4+O+3o6VENyOYbquIbIjreFhr06CKAp1YHMfBCoOf99IwgxAkQYzBpiORrMVKQ5IkgEAISKzBzflPhAmS2CCkxWAQsaCxbwIzf4reV5zJ1H/cQmexQr1eJ2mlzSmOUuSKBfKVEo1ag6Zr6ZjbQXPDASaroygjGO/2mDj9ZTQevx+v0E7rtofJd5YRHT2ISjf67rvxXYXjO7j5HLXJGg0f/EQggFKxSGOyCcZgjSGMI/xijriZEEYapSQLjlvK7rXbQTsE4w2KA900qnWSVohjHSyGJNJIC46U4ApwDEYKwlaT9le9lY+u8/iLs0uI+T0suOAcRKvJQMVlz+2P0Hv8SiaijYztG6W7v8iCt7+RtZ+6kg2fvxYiiRCChm2Q93ySWJCuPCEIAuaesoKes84g3LKDQkeR+s6AnfesQd23nnrSYv7r/5C2tn6iRgO1bCW1G+5BScXUyBhd5TL1hx9hcPN2TMvgxgrcmKIs4BWK2KEJmnFIRXhM+h5je0aRnsTNSXqPGqA1USWqhWihSQJDNNHA5hTKV1ihKXdUSBqGoNFEemm4KA4Tcm4Op90hqsVIYbHS4nUWsPUQpCQxMT29XTTjkKLjsWfnHpLJJrVGEy9p0Tm7j5onqO4dZnjqftxaBEXJyMQ4+ptfoDk8RqFSppG08GZ1sPfetTQODtOxahF29xBJktDYM4oUltaeYRavXEp1+0HGDo2lo5qc6eNZC1zfAVfhui5Ro4FJLI6jSHQaCtNaA2AApVxsYkEbZMGjESZIwNuyD9ME1ZWjFUSIFkgnC79kMplMJvP7KoxC/Kz5JZPJZDKZTCaTyTxPhVGUvWbJZDKZzP8mf6c/2zp7+nwHgLW2JYT4MfAy4FLgn37h8pdOn980M8sD4JwZ3Nf/MiNjj4QQfzN9uuxZuK77hRATQoghIWagQ+gpTPp59FiLe77zMCt7c4xNTBDKBjf+8w9YvKTCT794Hzd+7N/YsWaYHT/eQN8J/YRhAtLS6eboXd5JsmsfTkVRePFRNAoLKU2OI1s1fFcSGkmAizYCEQQAjLdi1g3W0G6esUaTslIsbPMZy8+iK6njN/djwyalF72U0rGn0tHVA16F8tKzyU/ViAf3Inc/gqn0MZTrYTKAivGQNmFWe8LlJ/WjjccbzpvHGV3dyNjgtKqYTTcTVSdxrMLUWyghsYkmVypyaM8Qe29/COnlGHjTqwk23EOwv8rSP7+cru5FFCd3kHdyiCQNlsw6aQUHDg4yeOPt1CONreRpbNiLayzt82ZhkwSvu4IQAmdRNzuvvZ1We54gCGg0WiAFQkGhVEhH/tgEx3Ew0yORtNZps0kQ06w2SZIEqyTSEUgFypX4xRw6itMmDAue76BN2iIjLQgDUjgIBdoYktCw/dbH2HHVD/ATxVStitAGJ6+YtXQuufYcOk6YGhync1Y3fqQ59OherDEYwCrNC190HHs++mHmHnU8zZEpIgUrXnwmyz/2OXZefRNj60ehIOga6KMpA1TZYf7R8znpknNZcMYxJErT0deG8SxeycNqQzNoAOlIqMg32DlFnIpHYmJiLajtOgi1BNuEJE6bSuR0awiuwM8p4oEyx//D++g7aQWNTWs4cVEX/37fILVHNrLpqhsItu1h8w8epquvm/zixXizOvB8hzkvOJ7tt30fkRRQiUJ6Aqcg6V2Qjn5yHIckSZAobASDj2zi4c9dybqbfkTzUI3FrzuLcqFIfahK88AEyZ0PEe/bgo4EyfABVKJQ1mC0xu9sZ3KqQeeSxXSdcTK2CLGVeLPaCZoRus1l5Ttew8Db34ozGSNdB93SWCOoT1Vp1ho063VUovCnx1c5MbiehzAOtdEGjXqAEJJCvgQ2DfK4ZY9WK8ArOeQ6CriehwoTupfNJfbTUUn1ep325QMEvsPiY1cz65jFFKRi1jFLmfWCUwm27SGsBsRRi/4/OIuqtOQmI6JWk/5Xv5KDOUOprZMFZ5zK5MgIumVpPbqLeLSGaVkwFmMFB7bs4eADm6iOV7HWpu0/XjpmyvFcfN+nOjZB0AyxVuC6LgaN4ymklemIIyvRCBJlcNsc4pygvHgOy668jtMftlz72k9QLCjC8RHayhVUArTMzD6wZjKZTCaTed5Im1+yN5IzmUwmk8lkMpnM81MURdlrlkwmk8n8b7/FY4+EEGcJIV4jhHB+YbsrhHgP8CagRTr+6LDPTZ9/RAix9Oe+53TgXUAVeNbHCz0Va+1Pfp3Ts73/mQqP/DXwN8Crn4Xr2gFUgF5g5bNwfc+IjmqIYoEJEzO3kOBol9OXLaHSV6Fz0SI6Kj6rzlvEBR85H9PrseveYWIU3QN5EqVp7Bph9FBEeclces68BGMM46U+HCetFvcVmDhGSxc8H1cKQutxypwSBaWZVfRxchIdR/ho4lIX1Y6jcVp1hGkjqI0SlXpotc1G9/YytfU+/Je/l7hvOaoZE2pDEERsqTfxPWh3HIxUNMNJ5iQRjzcCdo+HrAtc5IqX09ZZIckr8sUSlARuWz4dnbN7iP43vYr8F75Np59n1pvfR/nyD6CrUxy690fsuvExIl3H7ywhBYw/tAmhQLkKZcBajS14LPyz15JMtCDvEUzWwFhqa7YhYoMdr6Osgzs9ogYj0FHaaKGEQ2JikIpcpYQSAi/nUijl0YHBhBYdJOgoHQ3TOdBDKwwQIm3NiOOYqBljorQJwxiDERYTJ9hEIlEIS3pZbYmiBJmAtoLmVIuJAyO0ppoErSbNqQaHth7EK7bhd3jkix4q0pz4jrew/tq7Wf6S09j+4Y8gIw1FhXnJWUT1KYJmCD5EccJoq0qxowMQUA0Z3Lz1/7F333GSXPW99z/nnApdnSfHzVlpUUISIAmhBCJJYGGyBRhfYbCvsa+vuX4eXx7na7gXsMFgsogCJJlkCQm0EgiEclztaqM2T049HSucc54/erToYgQClhlJ1Pv1mtdOz1b1OdPdU1Vd/a3fj9gRbHrp2US+4OTXXEDveZvp7O2gb6AP3PbvK0PByG3bsbMhJmkneKzy2gEf1W7rI2U71CEcRUZKtLJ0zCSopkf/n/4Ttc2v4LYdB9g2HbL2b99P//IiUw/tYPkZG+jYvIGg0qD22Cgm1Gz76o+o3jFCZBpoAcZanFKAJ3yc1Z10rOsmX8i052EtSd0g6gLVEigE+675EYd3jGKSiMDPMnNwhCPX307r7i3M33IfVmqMVHQt66fcWQKR0DwwQmd/ka4TlmOUZW7nQfo2rqB3cIjDN27h/vd/CB0stAOSAJL6eBWhBcs3r2XZ5jWoLg83J1lxyWkMXXgyyhG4UuFmFG5RERORxDHWCHSkEVrQqkfYKKG4doCh559EcVk/ruszsH45wlHo+QZ+byd7t2/F7+3CJJrCwAC7vvJNXO1SWtePHyXM3r+N4aEBVOATR4Ld//x5iqM1cvksB/7jFtZs2oRwBLEQ1JoRXct6WH3ace2wi1TIjIdVFtd1ERq8XICXyxB05fHKAV7ORygQwiIdgRCKJNIYsRBgEQbfk3T1dOHi4kWK6W372fG6S7n7ufCST/0lpddfTmyzNKsNtCPBeVaXhkulUqlUKvVzRFGM56Ztj1KpVCqVSqVSqdTTUxrYT6VSqdR/IgAhlujrmPwGa4CvAKNCiBuFEF8SQtwEHAD+BYiAK6y1hx5fwVp7M/DPQBfwoBDiG0KIG4DbABd4q7V25pjM7hngmdj26D7gtQvfnwo8shSTuPS1Z7NmZT9qosVde/bSExTZsnWUF60ucNX/+ApWeuS3xnQrw/F/+DzEygb33rGVvp4ym97xEu676lbmdozSv7IT92UuLgkNI5nSkqwr0Nbgew5Kh9TxyaiEQGlu2zfN89b14eUyKGu5adsRlvXkWD9Uwsei8h3U99yHLwXe1B6mD+6CRhO3EJBMHyQjLPVimWZDkPMEq0qKGEkthmbisKwzz+6RBif0ZJFJTC20/HD/CGesWUN2ejvlN15JZfsPaW7fx6qBHkYfeYTc4DrE5GPsOvEi1iQThEd2cuhr3yLbWUIYjSwFzFTmyHk+TjmP77s0SznMdB1dDymu6eXAx75GprOE8KCnb4CJfUfQ2iKVRQoHHSftD/Y9hQk1biZAGYuSkjAMyfV0ECkQjiWqNhFKUuwr0JhvICKFykviesjswUkCXLS0KAWOo5CuQxRF7Q0TP0mECdNuqSSEwC0GWJEQNxIUCmsNmUyGMI5JIkvSDMl25cmWCrTqddyGJRguc9wn3s+uP/8jyoUc+398P2EDgpWdtGZmOfz+j1HbOYMVGoFD92AHmb4OgkIOZ65JZWSa3hNWMb7nALlSkdKGZRy6dyvZUgfNepP5Wp3uYhEVBDT2HKHR1DhKtts92Z9U7FCOQxLHKNcisu1KLEFvgUatTseKIR74x/ex9t3vonft6fzBOZv4wHd30XQ76f/v/4eDf/tuZnaPMvvAXhpJhIyhd/MqqhMz1A7OoiRYHEq9Rcg6ZI8foveUF9DavZ2pHVsQKIxtt4fCUVgj2lVohMTqCHyfpNFiLokxQO7kNXQOdhOJkGi2ztTeI0zvHkEN+qx/1aVM/PAuZrcexIstXcetZnL7XmqTMxjpYBqaeCHAJF0HrCabCwijhP1b9+FGYA2orMPEAzupNxvEzQTPVziBx+C5m5H7Jjm4+xBEhma9hRWGvjUDxCYm01Ek6CozPzVDkA8oruhjau8hwhOzyIkp8q7P4fu2EpU89t10G6aRkCnmMFh8z8NEoJUFq9E5DykckjDh4CO7CJTL4XoTKwyxbr/uZsemEXmXoeNXMr77EGFTL1RzcVGBR7PZQGqQUtKoNtBxu+qRdCTSd3Bcg5aGXC6LiTXWGrwgw8zBKVRGIl1JEiXkyllImuSLeXb9y1VkA0GoLZ7nEYXJom9bU6lUKpVKPT1EcUQ2W1rqaaRSqVQqlUqlUqnUzxTFURrYT6VSqdR/Jpesccyx8APgH2i3NzoJ6KYdeNkPXAv8i7V2z0+vZK39EyHEg8C7gAuBGNgC/J219keLM/Wnh2dq+OVxpwGfW4pJXHftffQJQ1W6ZLwcnRkHryUprSjDgRq9MqKv1MHWiSkOv//7HH/8RuZqAj2Y4cb/+Q2yOY+4kNDxnr8gVi51iriiSWRhot5kIONQacbkHcFjlQZ9JR+sg3J97t47Qs7P09WVY92KPmRYQ4gcrmph0UgnRLl5onwPhY0bGPnO18mVy3SP7aB14oUoL8caPYUNQzItD+nlEY5D3XPZPTLBaasHEXFCLY7RVnLu8m7Ubo+uN7yFuKuPvovfyZ49f8Hko4/S89b/xt4Pf5yNb3sjtewGZvbvgrtupeP45RSe9xK8B7eQ7+tn9t69JNNjxNUIsbLM2pf8Lvv+6aPQIcFKTFeeWr1OYXk/MyMTSCnJ5lwSLI7nEtWbSCHwh3tIKnV0pU7kKzxPceJbXkc0PU04MsWBOx7Eui5JK6GVtHA8l8RqHCFpJRaExS4Us7DWEkUxjjEIawGLESCkRSlFrA2u6+K47TZPSZxgjMFqQNp2WyMryHg+YQj1uQZhNcQmMcb1UQcrjLQcCpdczMw3vklsJbKkqB2q4DqKqb0HUcUsel5gRML8XJXKzCz5vjK1aoNQxzTuexTHdTnw3XvJDnTibd5A/9qTmK1dg52bY6JWpVBvEBR84pykY3iQqYcOoFyFdASJkASBQ1DMYa2lVCrglUsc2buP4847g/HHjlAcGqDynRsxGx5h1flv54MXLUfe9hmU69GzYRnZpmXbXQ/R2dtDfa7GyAP72u2hpERICUIwOz3LGa98NVFvH0e+fzPJ5CTahFijkBa0AGEMQgiwCowBK0maGmslIjQU8gHTN9xN1ztfw9CZAf7QGrZ9/rOonj7WvPC5bP34V6BpEBmJIyVRrU5+oJPGfJWoEmIjg1mocGOtxXEdGnMhaIPAYiwkrsXLOMyMjTN88kbmkkmiZouhgQH8yQZ2dT+5kRkq0TzKCqSvEHmPcrGLntXLOXLvI/SdsIZZ12H/jx9Cej4Fo+hYt5xt/3Er5c4SReugurLUWzM04iarnnMme6+/jSQ2BBuHCPI5Zu7fSbkjj/AVM+MzhNbiNtqvVxtqYmPIdOeZ2HOY4qlrcAdKJGMVAu1QPHUj03dsA+WgPEWjUmv3ts155KQDicaWMwRIckLQmqtjlEE3YyKt6R7oYWJigsDPkCQJYb2F4zuE9Qo6MGSHB7DjFeIwRLpp5ZdnEiGe1X0sU88yIpNf9DHtL14klUo9QRTF7WOMVCqVSqWOkfQ9SyqVSqWOpSiK8H1/qaeRSqVSqaebZ/D7DmvtPuD/+RXXvQq46ljO51chhNBPcdEYmAYeBL5krf3ysRj/mRp+sbSLB526VJPIJC2kn2FZb0LtSELoxMwngrtvj8gpSKTH3tFxTjxxmEcfHeXggQOUfUV25SDVcDumLDn779+C2nEn8SmXkXHniRIPKQXzjRY9QQcaQwvF+p6A8XqI5/ms7c9zcCThgIY+J8+GUojWebRMEDomVjli2YOoT2PcgKDYTf+lv4ejq9T6jyfXqCD33kmkQ0TnAAbASQhVFpeYDQNlOn3F/rkGOjas7M3y3Z0jnHTGG1kdCNykRsNIuOKvWXbbh0iiWTb+5V/RvOELdHeup7XuDPye5WSqB9Eyg51qEmahfMFLmPz6NRRffwE8eB/1B++g/LvnMfvNmykM9jC/bxQlJdFUBZGAdB2MNlgsGEu2VMDmPcxj4xjPYdlrzqdxz6PUZys8ctWX8bSPzipM4BJ4DuWhAQ7f8SiRCXGEQ7Ma4yiFUBarwS5UdQHQ2uA4CutAuVBgZnwGi0UAcRyiZbuaSrvGiUIWBDq06CQBoWjVG+2WQkphNBBkcU2L4973Hn40Ns/zaxXGJhJsGGNchVYWx/MBSRhHJGXJplM2c/DRXYiapTVdo7O7g2pUw8WlWmlQSxoc/7JXsvuaG7jnph+SFVmUk8EJDTKvCJs1ChtXU90xgiMUcZSgE0tQyJIcP8iK887FSxSxTvBbdQ5v28X2W+8iDEMCJ0B1tJh1FCt7b6V+YBf10WkO7xklFBFZ5RDHmuqBSazV4CqINEIItNYgFQ6Ke772H6y5+Pk07t5LQ8cEQUCzGmKVRD2h150x7ao0UrZDRUaA6yjiMEEpOHLb3fQ//3QO3nkXrbxicLCLuR8/RFJN8IMMYa0BLUvl8BQeChUCQgEWYyzSlWAtUkq0irGOwDGSOEnwVIZ6LSTb0Y31FNKxEGsOPLoPN+sxfMHJlNb20byvjjaGyGhMtUm4opdOCMxdAAAgAElEQVRqtYHwXeaaIR0bliFDQ9hXYG7nAarb99Nz/Frmtj2GtRY930BgkdZl9M6H8XrKZISHmZ3nyI7D0Ayp2pBkTjO0aS2Tu/bjlwqEzRYGyCSKXD5PZXyKeOshtEg46fKL2P4ftzL70G7yPUUIPHzfp0t5TM5NQRgREiOFRQmB8jLUJmdwXAdaliiJsTqhpuYJXI/ExBQ7C+TKJcb2HsIKRUZ41A5MEjuiXeHoqe6eUsfEV6/7Otse3cFxGzdw8kknsm7tGuQvkVB+fJv28yRJguM8E3f9qVQqlfpVvOev/4HB/j5OPukENh9/HMVi4SmvG0YRnvfzr6I0pt3iUqk0MJtKpVK/DT511ec5tH8fJx63iVM2n8iqFct/qUBL+p4llUqlUj/tPe/9G5YPD3PySSdy0gnHkcvlnvK6YfiL37No3T6P/cucY0ulUqnUM5xIt/lL7BDtLMeKJ/xslna2o/yEn40BfcBLgBcLIV4LXGbtr/fppHgqbzx/XQsJHwHcC/zrMbjL/wN0AC1r7VM/GjqGvrfq+bbSrBMlIcW+LDqyjNVqTM9YLnrhAKvPO41r//EWjGgRmyYtLMfl8wyeuZqD9z3GJe+5nL3fe5CNf/l26sddQCsxGKkwOiaOYw42LKvLHr70KKgIGzaYIMvumRoZ4dObd+gs+GSSdkUUrTWqOY8sdpFMjOIdfoCkPIAXuCTCx0nmCQ/uJ5IehXXHEycaiaWe6cAvDTDRjOjMeNRaIY5STFcTxptNOgpZenMBk02XbjXL7SNNtFBcVp7ji1N5rshup7HvELUXvJlKWKF/cg++o3D2b+fwjh0UzrmQjsMHqJ1zGfar/0g8uInOgR7sg1vZc+udJI7FtBKKl5zDcH8fOz55DREGx3fRrRjptFsMuaWAuBEhIkOsE4ZP38TYvTtwfYkQbjvsYQ2e0z7YbdSaBL6PU8pQnZpHNC1O2ce0IkQLIq1RSmLRhHH75SmMPXrSxup2lRJtDUpJXNdd6CHqIqUiNhoTxwsnbtrrKM8hk/VR1pDpKFKrtlh9wTkceOgumvunIRGg2gfaxhgcX+C5GWTRoTo1h1AS381g44TEgOs7+BmH2nSdjOsRS4Pre9TmmwAs27iSyuw0wboB5h7eh4xBNyKMFoBFY/EyLrmePG53iZVnnkxzagpn8+ns+PDHGVi/iv2HD8JIHRG38E9bC7vH6Tt1PbOPjVA/Mkehr8js1Ay2ZRH2JzsLbROUkQhXIJVCJwmZ7iLDa5ax/6FdhLUIV6qFR8YAEmMtuOroYyvkTwJIrutipGXVWScyc3CEaK5OUMwxeMFz2X3NzbTqLUxiwbYDM4+z1mJl+7nT2iBE+7407edSWdBKYKMEL+/SiiI84+LlXURWErYM4WQdx1GIwEEGglNedDZ3XLMFXymE0PSesZ7imhVM3PUQKy98AXEcUT9whOyK5Rz44e2seMXLeOhTn2fZquXkX3gO49deT6tSRwhBIBT1rGTZKy9i+ttbCKstFIJif4ny+acxfcuDzI9PIYsZCs9ZS2mgn+ot91OZmcdqQ35lP5Hfvjou3jeJLPjYrIcbQTHIMbH/EJ3L+6m0GmQyGfID3QilaM3NI2PDzJ4j6LjdoqvVaIK0xGH7RKIxoKMYKQQ4CmE1QS5Hs14nQaNbBke6nHb99565EdlnmtqMjaKIrdu286+f+DQ33ryFD//v/8WrX/mKp7T6W658F+c8/ywmp6aZq1SA/3xlpTGGJNH86R+9g4H+/mP+K6SehZJ4qWdwzNhWbamnkAJE/5p0v7KI7PQROzo2zrdv+h7v+/DHOGHjBq773Cef0oeKn//KNUxOT+N7PlMzM+02oT9FSslcZZ6LzjuXl7/4wvSK/lQqtfg6B9MNz2JqVGxzbpr7H9rKP3/809x573189iMf5Pxzz35Kq7/u99/BBeeezeT0NPPV2s/cbyRJguu6/Nk7/wsd5fLPuJfU04afXeoZpFK/GdlSum9ZRHZ+yh48dJjrvvVtPviv/8aF572QT//rPz+l9xbv+9C/0FEu02y2mJqeJtH/+bMyJRXTMzNcftkrOO+cp7a/Sj1NRM2lnsHTlg0bv3ihp7JM6tj7GcdHYnB9ul9ZJEKIlu86fv0/Prkk4+de9nbCOAmttZklmcDThBDCAa4BngP8NXCNtba+8H854HLgr4CtwGuAk4GPAZuBP7HWfvjXGn+Rwy/HkqU9/yWJb3116GTrtBJG4gYDfR6rhvuY2T9OfmUf6//yEu5505fJLc9zeO8sk2GIND7D3bDxss0cumcXZ19xCc09R+i44o00hzczGipwXB4bnaa70+e+ww1esbYXXzTIhvNEfpnDOkdWJEzVEpZ1+oStmHI2g6qPo6wGnRAVelHz+yG2+AceJnSyJK1p3OMuwM6OITIZ6BpGVmeQJkHGhsbAWpSAOIFIG8IoYtp4ONagPJ+Sq5iab4EDtx0YZ++45ay+GhefuBwoMlOPKMgGweQODl93NWte8ToaK09CbPk8QVcn+J3UT7iAub97B0OnnkhdOcze+yDNkXGyJ64gyBYZveNBejavZ/LenVgLMtFkezqoTMzg+W77ylPlHj2AzXRnWPXay4lxOXT1VzG1iLDRws8G9C8bZPzwCLoe4vQUkYFDFCaI0Tpu0Sc33IPszFDdOYJ0XEzOJRytoJshzdn2AYG1IOXjLXTaHxibROM4DsJTSA3WEShXEtZaeJ6H9CRRmJAIS35dLys3r+XB6+/Hn28gZbsyiZUCIQSOKxGuxM879G5Yzdi2vYSNmGw2S6PRQMcxyndwHQcv4zF9pMKms0+ksHKQB792MzgC7bRDJLlSB14YYxyH6lQFTPtPTQiBdC0oCBUsWzXM0AVnM79jFzu33I3nBO0wxXyDbFeBxnSFoLtMfayCsZZMIcDNezQqDcJKA2kkVgrQBqnA+pAp52nMNvESiXYh05OnOTKHjS0oiSMkuRVlwskKYSyQRqNNO1ShtcaiUYHCdRwEijCMIdG4gUechEjXQTQMsbagDSjZ/vcJpJTEcfvD2cevOhaOwlqLMQbfVQgrqUUtcnmfJLQIA8YDicHEAoSh0FMk9ixuJJibrKMccBxJtivPugvOZnJ2Br+7k5m77mPwjFPxhwapPLyN7LJljN2wha43XIqcmCAZG2f3TXfiShe3M09peRex0VTGpvFiQd+yYTKbhjAqIHAltfkqEw88jG7G5Af7MRmo3r+fljZkO3LQCFHSIdExtSRm46XnUd1xgHJniUPb9pAZ7KQ5No3WmmSuAVaw+iVncuh79xJXWyRKIUx7O6+EQxiGSF/hOy5hq4UQAmMMAoVSiiiKEEJgbTtAdPoNN6cHZovke9+6zn7vlh+glOSs557O+S8855e62mX7jh04yqGnu5tyufSkJwnm5ip84CMfpbOjgz98+1vx0pYWqZ8nDb+kjrE0/LK4/uZ//Lmt1moMDfTz0gvPZ92a1U953ZnZWQ4ePkJPVxfdXZ1PWk7cWsv1372ZG7d8n3f9/lvYuH7tsZp+KpVK/WJp+GVR/fvVX7B3/PjHeJ7HOWedybnPP5NM5qmf131423ayQUBPdxfFQuFJ37OMjU/wgY9+nHWrV/PWN742rTD2dJWGX1LPVmn4ZVG99z1/bhvNJqtXruClF1/E8mXDT3nd8YkJxicm6enuorurC9f92VVgrLVcfc113HP/A/zJH17JiuXLjtX0U79JafjlSaXhl6exNPyypI6GX2749JKMn7vkbWn4BRBCvBf4U+A4a+2RJ1lmGNgOfMBa+/8JIVYu3H7YWnvmrzX+IodfjvVgSxZ+uemEU2ws5zBzWRzXUr7oBPrmGlQyTZIpxcP37WPTpjIHtteIooQTLlzDQLGbzkufz11fvpbnfugzZA/tgHyAHtzMvoahN+dzeLrGqlyE1BrhutjE4rkZGirH4aZhKLAkCBSS2WbIgJzHRvV2u51y+yr+TGMGMzNyNGhAFEHPIInjY8uDaKuQwuKNbiXJ9tHMd9OIBU0dU2sJvrx1nFplgv928XGsCqeZueMbPLDm7axZ1uTvvztDI67w9lOX88LuOgedZfT4Md7Be9BzYzT376c00EvzpPOofPR9OKVe7MEx5qM6FAP61izD6xjkyNw0cv8eOgq9HD50kLVvehUHP/gFYgwdw70Yz2Fqx0GsMXi+j1KKWqNOodAu1W61IY5jjDFIIbBGENsYvxTgWEViYlwcTEYSSB9VDrC1iNp0hdpsk6TRwC/kaMUtSv0d1KcrlMsFksQS1w3SETTrrXZlkURjpMFxHJLYIAw4SiI8ifAFSSMBK9uBECOQCoQWFDYPUNl9BBtLfFcQNUFojXQEccajb7DE8nMuZGzrndTn5onGKxitaJkEhMHVCxViMi6tWpNM1seRila1ieNDKxQ4wsUtKKJmgmlEyJzEybgYY4gbCdm+DHoswe/KUJ2r0jvcz+zYbLuKjhBIX+H5Do1qCNq0wznSYo2go6tMy7YWxgxJmjHSa1fBMdaisi5hvYmrHZI4xsl6aK3RSYJFIoSltLaHguMz1qwjR2cxxqHc08H02AyCduDCuOBnINPdSS6bIYoi5kdmCKshPP7nrQ1SKozR7RTdwgkyLQ2u4xAnBscKrAWBJlIGKXzCOMJZW6bHLzG57SBBxiWb96jPtBBSEtsYQfskmswpTnnzyzh4492M7Rsl4xr8IEfHql6Kp2/kwI8fIPAzBCv68ApFcstWECtF9IMfkX/BOchwnurD2xjffRgzUydWko1v+x2S2hzsGUWXC0xs38bwJS9k5Fu30HHyRvxcFjfjs/dbt2B9B+n50DRkB8rM7R0lqjSw1uJ2F1j7vONxnAx7vnMHYVaw8U1vIFMZZ9f3bsfL5ojn5pHSIdQa6u2/jTAM8fx2+IvkJ5tfa9rPM7SDXblcjmazeTTwYo04WpUnDb8snqn9u21XV+eiXTW/7dEdfOxTn+GlF1/ESy66YFHGTD0DpeGX1DGWhl8W1/z+nfaXaXX06wjDkI986rPMV2v86R/+AaVicVHGTaVSv+XS8Muimjyw13YXgkV7z3L3fQ9w1dVf4/W/cykvOPOMRRkz9UtIwy+pZ6s0/LKoGuOHbDa7ONuTWq3Ghz76cRzH4b++4w8IgmBRxk39itLwy5NKwy9PY2n4ZUkdDb985zNLMn7uJW9Nwy+AEGIv7RDLZb9gua8DJ1lr1yzcvg3YbK0t/VrjL3L4ZT/w/WN539batx7L+3uqRt7yevvw7TsJAo++5w5SyOXYcd8jHNlaYdkrNlL/zn7O//SVfOfKT+MbxSFvgiv/6o8IT38OFo3btw4tFTJpEHWsgnhhRy4cZH0K18Yk2Q4qMk+BkJrxqGvBTFOztuQyXo9YUfQQ84cQOibuWEGMi2MjnOokXmMaKxWtYh/ScYm9DqI4WXjQDIGjcedGGSusQCRQTUJ0AjuOTBPkeylkJcvygm7XwbTGEMrFqU6xv3wcImwgXVh27d+w/cXvYajg0D/xCPPTc7S+fzP1qEr/29/N7NUfR4/NMnzZJez8xNVYa9n06ouYnp2mdtdWkp4OSl2dzOzZC4kkboV42QCDJZ6rgQFtDflSgUa1hrQCnbRb5QjVrvLheA4CUIHP3MwcPR0dTM/MUigU0FiSJKZZqeFqByvbH+jHcXw0hSUX+n0aa9Fa4/gOfuBBLKjN1wlyGRIdYTQoI4laUTsU4CqktXieh164N+kLHCkxGpJI4ytJy7TbAxkBnu8gAkkiLBve9hrq27YzuucAXksjWjE61uhIk+sogFHMj80QhhHKcyh059AtQ7NaQwkHkRPYxJJIyPV34rZiTDUi0oZWEpLJZDDG0Gg0WHvOZnZveYBSsYM4jolbIQBJonEzHjbRCxVu2o+tEe00fCbrE5oIB4GXydCYqePnMzQqdfxsgJYJhcFOqodmcJQA2r+7kBalFIX+MsH6VdT37mbVW95KbXaEvR/9GjaCCIPvOThogo4ioitPaeMaCr7LxO7HcFoJEztG2nMy4mhLo8f5gUf/2iEObN2HtRaFAAeMFZSWFxi+6Hk8du33qZiIoY4Opg/NIJuazHAHzfkKKhTEtt1ayoQarQ3WEeQ7AjpX9DHy6EFyHSWETmjWWwS9Rda97IVURkY4ePAgy1euJiMlc5UZwsjgd5TItCL23f4gyoI30EHO9+g5/QRk3xC1u+9CLRtm7Fs/wl3TxcAZp3L47gfo7e7B7ShgSjkOXbuFoLeDTEeeKEqYf2g/JnAxrYjBF5xIT98ge+++D+U6DJywnspcDX+gg8kf3IcJNVGtgaNcmkmEreujJyOTJMH12tVvkiRp//2gELJdGcea//u46/EADMLgeh7P+fqN6YHZYqnN/OZ3yD/FWss3vn09t9z2Q/74yj9g3do1iz2F1NNdGn5JHWNp+GWRzYws+r5lZHSMD3zsExy/YQO/97rLkTLts5xKpX6D0vDL4mpU7GJ/kGKM4QtfvZaHtz3Ku9/xdoaHBhd1/NTPkYZfUs9WafhlcVWnF/09y97H9vEv//ZJzn7embz6lS9P27c+XaXhlyeVhl+extLwy5I6Gn658aolGT/34ivS8AsghGgCN1hrX/0LlrsOuMRaGyzc/jJw2eO3f+XxFzn8cp219vLf+ICLYPb977TbvvkQulnlxAtO4xuf+RE5HMo5n1hJVp07xNT4HJl6FzMHxiie0M3g5g5WXfF2mpkOpBPgjO1D96/A+HmwDsK0kMYQRy1838XKgH1xhq68QyWyeFLwwGjI2UM+M62EnlzAXLPBsK3QCjqIZAZfapyJA7Qm9uEvWwcyg3Bd5lWRemJRaHzHIbEWqS0ziSBMYnQiEBmfjG0HI+ZqhlzgcdNjo1y5osWPxgJ2xxYRGU5dUWZDPmCmaRgqJ9w/UuX0Lhd3ah/7vvl5VCWm43dezdRXv0b/C05h53XfJYOLkJblb3wVwbLj2PuJD7HmxS/hoW99neWd/Rza8RiZjiLCEdgwxs0EVMdnyBSyNG2E07TEsUapdosWqyGTyaBtQqvVDmhoYVDCIVMKSJoRAGGrhTQOiQRlNNJTWA3ZfI7Z6RlcpUhCUMJghYPWCVJLtE1wgoVgRKzbgRcp2mNiMHGCjjVSOii3Hbwo9hYJmyFhMyLwfcI4hsRiY4jDiKHnrKHzzE0EXd2MfO9Wlj33dLZf8x103scJDdVKCydOMI7EagFiIZQiDHHLEOQ9Wo0QEhAlj8A6CF/RiprIWozp8CkVStQnq5jEom3CitPWcfiuXRipSML4CQfyFsdxcLPtdifN+SZKyYV2N6C1RjgSx1OgwDTac9HaILC4WYnbU8QFqkcqOIGL43m0ak2MFvhKIAZyrPidV5Chie1YRu2223jstvsRiaTpW7JWceobLqBGBm/tOrROcNwMydwo01u+z+SOEWwzQWYkWltsq72t0loj3fbr18kE+AMFGmMzCK0wUczqlz2X/TfdT5wY3A5FPN0OfLi+w9CG5YzsPYRrJJHRGKVJGgntGE77MZHLsiQT80gkQjkIbVn58jMZueUeBs44nsgIavsOUj5uDa2JWbrPP49kx3YO3/oASRjR2dtBLQ6xVrD6NZdi58cJC2X2/NvVdK/qp/fFZzO95U7cXI5Wq0XfhhXo7kFkoZP62H6CVo25XYcprehj9tA4M9v2s+71F3HgO7fjJA7Dz93IxHyVXE7RPFxhemQM24yx1uB5HpFOME2NTSxWWtDtje/jrYyMMWDl0dtPxvUUWmtO/XZa+WXRLEH45XHNZpMP/9snaYUh737nlUerbKVSafgldayl4ZdFtgThl8fdftc9fPFr1/F7r72cM08/dammkUqlnu3S8MviWoLwy+Pm56t88GOfIJfN8q63v+WXareU+g1Jwy+pZ6s0/LK4liD88rgbv7eFb3/nJq582xWcePxxSzWN1JNJwy9PKg2/PI2l4ZcldTT8ctPnlmT83MW/l4ZfACHEbqAHWG+tnXiSZfqAncCktXbdws9uBjZZa4d+nfHTy/B+RV/66y/xrTsP8oMdc1z9se/SEWv8guLgdJU9c6PM7q6R1AN2PfQIntegtm+U+z9zO1sufSeqMYOjNXp4LapVQzTmMU6MNAYcD8eRWCswJmEgL6kbRWIUtUizqgTGyWKN4M5D0/zvGx7hlglNTQRYq7FJjHUcguEN6MTSVD6Rl6cSWQIFnmpXSnGABIVNNEcaGgBBREsrPKnwSh7Xb58mF9b50qEyH3vwEGf0dTHVEBxuSPzAMNgFs6ZI0XNpPLIFMgFDJ5+J2+ES3b6FztM2Mfaj+ykN9bHm9S9n7UsvQB7/Ahoz+1nz2tew+6tfJ5gJmZudx89l0Tqms7OT+XqN+sQsnpchCSNELSGJNFK2q1jo2KCEpaGbGK1ZfvxaRCzJZ3IYY4gqdUwrIa7HSOPg+A7SGgztiizCCOpTFaQRmMQiHXDyLstWDyEdgcoogiBANxI8z0O5imJ/Ca/o0YpDTJxgHYmb95CBQvkKhCDjZfAcH8eVRFGEsu1qKlonGCUg55IdXo5SDrN7pqkdGGGuHkIjpF5voustEm3BCIzRSOFgY0urHuO6Lr4X0LOsFzfrkZEZ8CSRjZG5LGR9Tn/L71I6cwNz1EmUQRVc9ty9g2w+h5t1EI5ESnE04GKMIWq1P9TMFnJPuCp3oSJIYjChwTYNII62mbJAK7HEkzUSLZGeS1MmxK0Y13fwAkliNK2pBgc+ejXNh/Zx8AtfZP+dD0MsEMaSiSwSw+iOPcSFLI5w8PY/hg3rUA8hn8WTHkEpYNXFz2PzpeeihMWKdvspL5MlyUq6Ng4QjVbAOkgp6VkzyMStD2FyEqNjupb3s/L8zUhHIANBnHWQjkJYg5txKfd1U+4tY12DEIKo2cJO1ulbtYrO9cMcf95p9KwexJ1vgXTJeD6dbkBQKBMfmKD7OScwctW1TD6yh3VnbWb9q89htFLB6yyy7vmn0dizG6VcDnz6Wja88Cw6Lz4fX3jYgSI659CzaSXz1SbT99xDPDVKprcbRwUYaUgyHtOP7CPIZWkdGGHlWaeS6y3x2COPklOS+W1HaI3PomKL0IJMJiDSGt0wmNiglEK1a+K0n1VrwcqjlV6OBl+EaX89YTkh25WQZNpX/bdGEAT893f/MVe84XW89+//iS9+5Ws/NxyVSqVSqdQv8vwzTucj7/t7tu3cxZ+/928ZHRtf6imlUqlU6hmsWCzw3r/4M17+4gv58/f+Ld/6zk3pe5ZUKpVK/VpefOH5fPB//R233vYj/t+/+QdmZ+eWekqpVCqVOhaUWpqvY0AIkRVCXCqE+LQQ4mEhxLwQoi6EeEgI8T+FEPmfs+6bhRB3CyFqQogZIcQNQojnHZOJ/XKuAorAbUKIy4UQzhPm6AghLqfdKaiwsCwLy2wGtv66g6eVX35FfynWWteHxFiG8w6BsBx3/BAq8Dm8e4Zd0xWKTpXALfC6P3wVd153G5NBzIWXvhC1epDsc88jdn1C6eNO7ITBUyCbRdQmEUJgDAjXJUEQZzsYqVmyyrBrdI55DeuyDo9WDXNNQZAzZBzFcWWH3lKW7rhGUp9CCkHSvZbYWBphguO2ww2eNUjXodGMaKCYDzWtVouDTY2jWxwZqfHQ6Cznn7oK3RS8alOZrfUsX3lwD6cOFuiykC94hHGTld0BfV6R0Xu+TdfpL8ZxIbvzbmRYY9+XvkhpxSDlDetg/elExT4y1XEe+9K/sXz9KnbdfC/l7k6izoAOpRh5ZB9O4BPWGtgwAQkCiRWgQ330sRdCYLAYZSgNdpPt72Nqx16ElORzAbHRzB+eotzVSasR0mq18KVHYg06ipGupNRbJmy0aDRa6HqESiSxMBRLearzdUysCYrtPtZhM0JrQ8Z1iUkoFHPUZuoopTDGYoTFERItDcpTSClRKKJ6u/pM1GxhkVgPcn1Bux3VaJ18IUsrjOle28/szlHCVnS0MouUEmMMxrRDGY7nIqVA025JI02M31mme8UA4zseo+P4FfSecTLbvnUDQ4PLGLt/D7WMpb+zE2JNZXSeqBUiHYXVBuU6WG2OtjqyjsR3HIyxKCWJop9c6f94Gxyl5NETS55yCNaU8ZSHdASV0Tl0GKO1RXX6nPSC07n/67fiWo+mTcgEASqOibVdaIskkMqFvCLXkWfZuWcRrh4mX60Rx5qJa25mdHyC55x7Brv37yPjecTzDVpj8wgP4mbEKW+6mMe+fReVqI5pJtjY4CgPrz+HbLTbRc2NV8kGLsaROIFDZWYeiaVQKhDHCUKAji0k7eo+SjvUdYtgsExHkKHvnJPZ9tUtCNN+/Q1ffCoZP09112PMH5lk1RWXceSuB+k/63lM33MX4f4RVDWhlZfYULPuknMgrGFblrmZWWb37EciKJ92HJ3LVjD+wMM4QtK9YogwCVF+hsTEiFwBvWuEw/c/QsfaYWYOj7LmTZfRuP8RKuNT2LxP7YF9WCWRKLRNcF2XOEywWqNjg1QKozVKKeK4XfXnp1scSfWT51dKiV54vbVf2+1QzCnfSCu/LJolrPzy037wo9v5yrX/ztve/EZOO+XkpZ5OaimllV9Sx1ha+WWRLWHllyeanZvjAx/9BJ0dZd75tivwPG+pp5RKpZ4t0sovi2sJK788kbWW6797MzduuZV3vu0tbNqwbqmn9NsprfySerZKK78sriWs/PJEY+PjfOAjH2Pt6lW87c1vRKUXBS69tPLLk0orvzyNpZVfltTRyi9bvrwk4+fOf/2vXflFCPH7wCcXbm4DttMOkjyPdlhkB3DuT1dUEUJ8AHg30AS+C2SA82nnMy631n79V53TL2shyHIt8ArAAgYYX/i+n3ZxFgF8G3i1tTYRQpwAvB/4rLX2a7/W+Gn45VfzJne57UxiujxJLbKc1t1POS+o6xYTFY3ORGTCDKXApbiWIMoAACAASURBVN6sIVG84r9ezPT8JP0vei7+yReDsWjlIEX72dbCRegIbILJdCKVxgqFCHq5b3SODk9xOIyQ0uHh/ZPMhj7F7ixXrCtSakxSy3fTSgwKKM8+hnIdYqnAzRDny1SjLHlfYnSELy2mUWFaBhyYE5iwylA+x+2jFb599x5eevJyTl8xzKFqi5HKLCeUNP1dHRyM8pxS2022nKVWWok0MQcrLXJehpYO0VbSmRV01I8gJw9Re+hess8/D8cfRJsm1Ru+RDQxSWV0lqpjKDsezZkq+WyOMGxXVcG0K7y4rkuSJD8JaGiwcQKeRLkOm847k0d+cDsylHjFHNlClvKyEsWXvZwjn/0i4ztH2xUwZDu0IaUk0RpBu+oJAEJgrUDK9skT6UqyuQzViVp7+US3Qx9SgG6HUawUOAtBEWnbFTIePxh2AhedJBBBslAp5Yn8bAZpDfWMwJ8PWbF+OY1Gg/HDUzjZLGGtCU/4mxRCIBbmbwVkMj61ZoOMdEm0pmuwGyWh75xNTNyxm9G5CfzYAxuTSEnW8XA9j1azScbJ0Gg0aDVaCEAq1Q5EiJ+EbRynHb5LkgTHcUiswdr2z9vFQdpzE67gtLe/EttZ4MC3b6WyfRTjSBKhOf2Pfo95L2Duh9+nctcukpbBCMAVeFkHp5xH15rEtRgjDKsvOJNg0yZE3sOfmOK+z16LqzyiZtR+PooBsrdAde8YVkj8UkDfqSdS3XMY3Wyi44iWScg6/kILJoXISFqtENkQCGmJPPCyLrQSTCshW84TNpp4QYYwDCkP9TGx+xBZP4tuxpzy+xfzyLe+TzDcQzgyy7LnbKCVxBQ3rmLu/h1kl/Uy+cOtrLjipRz67L/T8buvIrrzHhpJRF55xH1lOk86AV2pYhoV9Nw8rWqTw/c+wsrTTsQd7MDPl2ns3IeMYtzhXhKbYDr6KHUUsdU6Uw89wszIJMFwH/MP7aZn81patTp9y4d5dMtdELbDS37gEUURjnTRNsFqkEaAEO3X4gJrftLmSAjxk6CVoh16kbZdbcgYcBSOkMQm5tSvfy89MFssT6PwC7S3A5/63BfYt/8Af/bH76S3p2epp5RaCmn4JXWMpeGXRfY0Cb88btuOnXz005/jpRedzyUXnr/U00mlUs8GafhlcT1Nwi+PC8OQj3zys1Tm5/mzd11JqVhc6in9dknDL6lnqzT8srieJuGXx9197/189ktf5g2v+R1ecNaZSz2d325p+OVJpeGXp7E0/LKkjoZfbrl6ScbPveh1xyL88mbgTOCD1trdT/j5AHA9cDJwtbX29U/4vxcBW4Bp4KzH1xNCnEW7wkoTWGWtnf1V5/WrEEK8EbgSOA14/Eq4GLgH+Li19gu/kXEXKfzyadrhl3ustR/7jQ+4CP7I67Ne7NPhS9Z3d5NxLNXJhBXr82x+4Sa+edX1rFg1zNhIleVrB4lnNZVwnoyynPu5v4GO7naliXwn1lqMFEijsSYBocDxCLMduM0Z6sUhKjXLPJq9k012TtVZXc7QX8ozVHAYzgvCWNEwlryr0VFMML0Px5GYbCehcLDCMEEJRyrKjqQSa6TQfPLhFn2yyl2HJ3nn89ZRdBV76paZmXkMkkKhyMqSz67DBzgSZ7lsYw99+iBH6GGoVGKyWqORgLMQoOjLaLI3fohw2ek0D2+lfPqL0YUeEpXD3PEVqrc/SH18nP4T1rBv6x78wMPWIhJr2uGSpB0WkVL+zPK1mWyGznOfw8gP7sMzgnoUsv5FZ6Fe/LvUr7+GuR07UNpSna2R1JokYbJQ8aJd0YKFChftYEs74GGNaYdsAKM1YqFZzOOtgdqVXdTRQI6bU1ghaM21D77UQogkKAREcUzUitstg+KF4IEQsFBdwxiDdKAw3IMvBRGaqNGkMVEjU8y3AzMtgzUGa9rBDQs4joO2GuUrhtYMc2DvEVwkjhGU1vcwdO5mtl19C54rCWcj/K4CjZFJhOejtcHzPMJmC+lIhJDtCjhKtR/jhTCP1rrdFskVSOGgZULcbJHJZFFKEbZibKJxHAeZ9TG2hVQuiWmHf2QtJDfUS+A6iGwOZWBkdoRwsoUnBW7WoXvVEHEYU6tX0NOtdvUZV2EDiay1W1pZwC4U+hHSIqQkWwowCFrNeXrWr0SuHKZoE6Ye3k9zvkGj3sJLNDKXoVVpIRdeOonQZAt5ROb/Z+/O4+S86jvff845z1ZrV+8tqbW1ZC2WbMvGNtjGjg2YxSRglpiBy9wEckNyCckkcZYZhiEkJIEkr7CFS0LCJNyEJBMYcAgQjA14wcZ4t2XLsmStrVZLvVZ3rc92zpk/nm5hiE0SI7uN8rxfr3q1qlTLr7uqq6Wqb39/Am01IxvXMX7fPlzhkgpNpbeErARUVvXTmJymO7VIYqE22kfUitAYNlx+Hm7QgzM0wswD9zB84U6Of+07OI6k75wtdHt7ceamaTcXCaY6NHSX0cuuIHZALdbpTk0hhMJWShy8437WX3gO9bv3MHrNi3GVYnb/QUq1Ip35LqVLLyZtNREHD3P0jkdYf8kOwoUm87sP0e336amUqJ+sUxkZoHHgBMJCUA4wxqAjjVDZ1y7uRE9aY5Ux+nubXpRSaK0x1mZhrqXVR57jkC6FtkQq2fXFr+b/MHuuPM/CL8vm5ub50Mc/wcjwED//M2/Ddd2VHin3XMrDL7nTLA+/PMeeZ+EXyP4tcsOXv8otd3ybX3rH2zlr09hKj5TL5X6U5eGX59bzLPyy7PjkCT78p3/Ojm1b+ak3X/cv/j+ce5bk4ZfcmSoPvzy3nmfhF8jeE/ibv/8sDz/6KL/6rncyumb1So/0H1MefnlaefjleSwPv6yoU+GXW/5hRW6/dNWbfujwyw+yFGb5NhABVWttvHT6V4BrgF+x1n7k+y7zUeCXgF+z1v7xszHXv2apCaZ/6eictTb9Qef/oW8v34/7zLxDrLe9StLQEWP9NYYdA4lmy4aNjB/dj+NagnI/R0602LZjkIknGgzUSoxs7qN2xRirr3oZwaoxEgXCcTHKxUlSEBojJLg+RscsBquxvsOJuYROlHJ8ocU5awe5b7bJq9dX8aTGt5YnOimPT3c4fyhgOABXBMxbKDvwtT2z1PoChryAwFdM1BdYO9DLvYfnmexobn1kP9fuGGHnplEqvs/nn2jTOHaYtnLYPDxMsQyqAz3lhJ8Ytix6g7SQ9DuahvXxRILrusRpQt/Br6PXXc7kp34bUhj5qV8mbR5m5oufpdxN6f+pd6HaDR79yIdxU4uVNmteMTZrqtAGq7M33q2wCJu1VUghMCJ7rFarPSy2mvhCsuWtr0aMjrH/o58k7IR4CKI0xSaWoOjTboZIY7EqC6nYNLsOYwyopRVKscYaQbFYpLXYQAhJYlJc6WRNL9aihMQ4BmEsInDwlEfcjrIWGfmkNTGJIcEgLZgkPdXashzAMcZk4Rul8GoFlJGUVlVYPFZncOMgC9NzhK0YG0IchyjhIB2BUBLpKqSjMGGMFQa3EBCFIcIL8CW0F9sU/YDzrr2MB268m269iWSp3UNkX0flOFhrCQo+YTdi6S+z+axFCJC+hxNYRs7dCMpBWGgqQeehw9DWxElKhKFS9kgsKK3pxBG7rrmMfTffj06BER9dUThHIxwBkYop9ddwpYDAxQsC6kdOEjUSPJndtjXfnQOWQhrSopRCKUtpbT+D60cpXbiLY1++keb4HPFiQnWkSqvVwkQWYSU21aRpivQk2CzoJKTFGy6z/iUXcOBvb8Hg4AaSbhJTW91PUPQZXLuGk3sO4g330JiuE7di3IqDJxRnvfQSRG2ATtHBLZbp7HmImfv20Tg8RyRihnZtobV/gsFald4rLkKuHsUuzOAqQXNhnrDewgsUQeJw4uAhvIFBBi/ahT05gekdQjoeemEaf+xs3LkTTD78IKbe4uTESS584zU88rmbGNq1lYXHDmMtyKJDc76BL320TgCJWVrdZK2F9Huf15eDTsttL8vsUkqoWC3guh6tRhNrBTpJkVZitOYFX8rXHj1nnqfhl2UPP/Ion/zLT/P61/w4L7vqypUeJ/dcycMvudMsD788x56H4Zdl3W6Xj/35XxJGEde/8+col0srPVIul/tRlIdfnlvP0/DLsju/cw+f+dwX+Ok3X8cLL7xgpcc58+Xhl9yZKg+/PLeeh+GXZY1Gkw99/BOUSkV+6effge/7Kz3Sfyx5+OVp5eGX57E8/LKilsMvnVt/qK05z1jxyuue7fBLEWgvHV1trT0hhAiABcAH1lprJ77vMpcDtwO3WWuvfDbmer7Jwy/P0LvEOisQpFg29fdwYLHLi3tidl61jXKpysSdR1mYjRFVn5OL83hWYoXDUKC49Devpfbyl2MqNVAOFoFVDsoP0O0mKQLPL6BF9ob1rDdEN4mZXuzQAcKuYSqW/ORZBdzWAqKnxlzbYqREojjabHNotsu6Xp+P336CDev6uWRAMFj12TlYZqHTpa1BSZ8FIzg5t8iW3hJlV/OBL93PyOgaNtQ87jwwQW+hj61jNV62KqBc6qWvO8kJdxhhElxpKdkY3Z3F619HmCpKUqP23Mj+z3+W9de+FbtuiNmP/Cn1ZpOdv/orpEmXPZ/4JJVyATPXJBIGFRqkEHjFAlEUZeuaOiFCCHSSVYD45QKbrruafX/3FZxCAd9RNGcW0NYgHJ+etTXmDp7EdRQm1SAcdJKCBq119qb/k978F1KC4tRapDiOsYlFeS5JGOG6LsJRoA1aZ60xTqBIEwPCgM1+i0g6WZOMNYa4E2fXLSTCkeg4RRibtcdYi4AsfOJa1l24lROHxtELXYJaCYylUCiwsNCi4hfoLnYJO9FSU0zWGFOtVWnWWxg0q8dWgaOo9NaYWZwhmWsjHYdytcLckWmMb0hbAoxeug6FciVWgu94dNMIH2eptUWilwJHjqMY3DLCmje8jKRQRdYXSNtN9OIiaavLkVvvI8Yg2uAGErGmwvYdO9n/rXtJpcDMxTgCjCsJrcXV4FYdtrztjcj+YRSWqW9+A7fRIQ4UU995AmuylVLL982pAAeglIPwBLaq2H7N5TiOz/ThcU7c+SgYg18oELez9VJCCIRZDs5k9/vy5ySEwBYEL7juavbfdi/tA9P0jAziDxTpCoMJJJVKBadWpnXwOK50mdl/jIFNa2jM1xk4fzvli16AlimFRofW4wdoHJsklILegSrWL6DTkH63jNo4hlQJcbGEOXaECEl5aIR0scni3v2IMKH0ogs5efcDOCZk/bVvYvH2rxK89FU0jh5CHT7Iwu5xRv+vV3Ls729EeQq3ViaeaRAbTbvdQaTgugrXc6j19rK42CCNE9JYZw0+S8EVay2u62K+73neCINCgYJCJSDqJtn3DUvtMEaQhAkC8vDLc+l5Hn6B7PvzTz/1lwwNDvLGa1+z0uPkngtnUPgl9zxRG85/rjyXnsfhl2VHj03w+x/+GB/7wPvzF5Nzudy/Xx5+eW49z8MvkL0W8MGPfJxLL76Qqy6/bKXHObPl4ZfcmSoPvzy3nsfhl2WPPb6PP/ufn+bDH/xdlFIrPc5/HHn45Wnl4ZfnsTz8sqJOhV9u+98rcvvFH3vjsx1+2Qk8QrY6qGKtjYQQu4AHgRlr7dBTXKYEtIC6tbbv2Zjr+SbvAX2GLIKBYplCpYzRTboiZED2cPD2g+z/0qMEW1ZzzWffxtZL+7j0ivMY7K0xVPOo7VpF33nrkCImrs9jU400BqFTTDtESYFTqJBKL6tpdXxqjsBzJGGa0utJxvp8rhqrIskCDSo19JZdShoG3CJJJJmwZX77fx3hgrEhXrp5NWsrBXZWFUpKhssBg2Wf4QKslV3OG6kSWZg3PZyzZT1C+XhS8PrzNvL681dzwbq1eEWHgo5oFIZJE0FkLTgObtrB3v/PqBs+hnjkM6j5A+y/5WYorCUcHeLkRz7JQphQGOknDCoc+MSfMTRUzYIOxuAWA3zfx60WiLpthDbEYdZIYm3W+iGlpH/TKg7ddAcgSZod0k6M0QJlBAXfxY8Vm19+GZvf9hME21YhJbiewkqLdOV3gxWQBVGkxXvSyiMAFTgoR+CVfHAF2iQkNsEYjUScClMox8E6IF2L5ztYaTFoCoNFKsM9uEUXpKVQLWHJgjZOwcMrF3A8h5Jf5vhDR7DzKcVqhURKdJSyMD2L8R067ZA4jrOQjbSowMV1XZrNJgiNFdBqtKlPznBk7wG8bsraK3ZQ3rKK2f2TCNdgQtA2ylpzpEQpAS6U+4vgZOGSJI6zlVtLgZHl1pW5w3Mcuv1unFaLY3fcga8cDn39buqP7OesKy5g/QVb8F3B9jddwTlvfgvmwgsY3rUNGxtk2QNfIrXGtxLlStZfeSHF2giBSVBYVl39Y/gbR2hNzqAcD4RBKkhTTboUwDj1fWYNRmm8VsLRf7oT45fx5pooTyBSCJsRqdEgswCNtRYt9HI2Kfu8HIWRBhNpjty/h+pQL5Rc5ufn0UWH2CbI6Qard+3AbSScHJ9l/JEDxF3Dif3jAJQ2jyHqc9jdj7OwZzcL9+8jOj5PdbFDef0w1Y2j9A4M0y4qdElQ3/cEnckDOKsHqfQPk/jZYypuNPBftANv1UZ6Nwyy7rUvp53GeFvPwknaLNx9P/Xpebr1Dkpr1r/oHFRk8PqqdFpt4m6EX3CplAtorYnClNnZWTqtdtZStLS6SGR3KPDd8Ndy7bMRWVDILTr4JQ8QuK6CpWYiay1JkmSrkL737sjlEELwzp/9GQ4dPsKt37pjpcfJ5XK53Blg/dpRfvOXfoHfeN/vZU2KuVwul8v9EJRSvPtXf4mbb72dhx/ds9Lj5HK5XO4McPa2rbz9P7+F9/7eB8l/mTyXy+V+BAi5Modn339Z+nijtXZpvQfrlj5OPMX5sda2yZpheoUQlWd5vlNE5q1CiM8JIR4SQhwUQhx6isPB037b+Q/rZ+Z6MWDHyuvZ15pm16BLcaDAXXvrvHbXVnpqBbZet5Pb/vJWCqHDZe+9hps+eQNmPqJ+0OHaT72F6jmXkJaqKK0RVpN4PQgFdqEO/auQQoFJAAVeAassk0mVVMIDR6a5YH0/FaXo0XWk49JVFZIkoZNE3HZwgbZQ3PTIMV533ihXrOuhFviUoxPgFFjweklTjeO5dMMUay3N2NAVLvX6LNsGexkoCqwROAsTpIUSM7ZKYg2JBk9CikPZg9WNaaiVsTJAj+8mNSlOsYaZO4b2XaK7vsnUIwfY8J4/oHnDn+Muhtjt56Aa00T7x6m3mwghSBfb2fqjpZCJI2T24re1GGupbNnI2rPWs/dr3yJJEkgMjuew4ZJzOT5+DH2iQdjpoqTE832stcRpgpSCpB1jl4IdNrUoKRFSktoUpMV1HBzlEYYhYmn1jpSSuB0ttZCAlNlpRmTNGHIp4W2UhQiUK9HaonWC53kkSULSSZBkt+sUfKSFNE0xwuL2eqTTbYIgIJEWz/OI4xjX8UmjmDRNUb7CxIbeDQN0ptt02028YgGJIo5jemoVFhcXkUYysGmYMA5RHahP1dFpigWsMeg0u/7llprlNxVOtaUoiZQiCzsoi3FSZOqQJhH+SA/6ZIhOE0Z2bWDuxBSbLtjB1LFjbH7FS6HaC7pD++AJ9v7j13CswhjAZoEjR0JQ8Vn3iz+FlCClh4ktMppl5oEH6B6co3F8Fh1Z0jT9bjPPk9bzCCHwrIAeDzlSoj0zDwnYhTRrhhGc+k+HEALXcbCuwPEdmvUGnnIwyOwxNSA57/WvYu9NtxEfXqC2aZDWbIPNr3gRh7/1EBsu3sGhbz9MoVBg/tBJRFEx+sJtRMfnMZWA+PACjcVFitUSRhrA0r9rM17JJ17skHoKu9AlnJhl28//ZyIH0v2P47oBTWEpWEvzwGHs0AD9uy5CyOx7JKoMURws4LciZDng+OP7UAZO3vEovWtXEXVDQpMiwjRrNDLZ16dYLaJJsY4kWQyxmlOrvSB7+jBZhgorbfY4TbL7v9JTJowjrDYIK0mSJFsDZgyk2YosnaZ588tz6Ueg+WWZtZZ3v+/9vPkn38C5O3es9Di5Z1Pe/JI73fLml+fWj0Dzy7IHdz/K57/0Fd7/7t/4F6sac7lc7mnlzS/PrR+B5pdlWmt+5b//Fr/6zp9jw7q1Kz3OmSlvfsmdqfLml+fWj0Dzy7Jv3nY7D+5+hOt/8RdWepT/GPLml6eVN788j+XNLyvqVPPLHTesyO0XX/w6oiS1wN6n+ntr7TN+M0UIcQ3wZSAFLrLWPrx0+luAvwXutNa++GkuOwGsYWlV0jOd4d8xqwd8BXgJS7+v/xTs8t9Za09rcihvfnmGvGIf307n+OmXb+HemYCbHw8JnDI3PPQ4/+uOY9z1p9+kO96ib2uN3V+8E/eEoTDnUu2T1KwDaYS0ElSAUQGOCZGpQfb3o5IOOD5aKAzg6C605kiTkE4Y8+L1vQx7KX20sMqjTYHQQNEVTC1GjDeb/Pz2Pt77sq28ZNsqBotF6toQeTXixFBJm5QdRRylCGtoJ5bjU7OsLysuHFtFjy+Zj6GVGCiXmNNVUgQFpSi5itRYhooOWmsm/TIAVoCaPo4cGMH0rUEMbYWZk7SOz9J/8Tn47QUGLn8N/lt/nsqWs3GHV9HzE69hzdmbkLEGJMIRGGWRjiB1LBQdyiN9lNb0UzApB750O1EnRGkQSoK1HLxjN9HBacJOlwDJwNgoXn8pa7uwoCMDUiKlxHGcrJZQCIwwVKtVXDyKpRJRJ4LU4vs+aayJwywI4DgOUgqMYCnskEmTBCEUuqORrkXrbN2MV/BwXIkNDcJY7PJvr2pD1OlitUHHKbJpUaUiHQkiEYStEKMhDENiJ8UZKbDqyu0YZZk/PIOQlhf+xJXsvPoiejcOkpqESMdU+isEVZ+FyXnSk20WZmZIkwSWAjxCShw3+zbPgjDp0homjfAUSFC+xB0KcIcCjNYEfoHyUAUn8Fn3wl1s+k+XU1CK2UfHsdrgXXQOC0dmqE8epTtxkMOf/2dSLwGdBS2eHK5JtKXZ7bD4pRsxe3ejZk4glcVWBuk570IGrrmc6rbVWfuLzAIzQmRfb5RE+gq36JFKw8YLzyZUgoGBAWRHIqUiSZJTzSbCUVhlCUXM2vM2UhypUKyVSa1B+oKUlGLsIr2AQAtQktnxKdJYs+8r36JSKtI4MYOWmpkjk1ihMA3D+J17CZshyUSdRMasu3gLXuBS7KtS3bya2sggjrY4xYBochavv4dCqcKhv/kcC7fcgYgM3qq1TH/7HjrHTlCt9lE75wJkt8nM7d8kHVnD8Xu/jewZJF07BlrQmJhBNFM2XHI+i9MLdGbbiEZIUCpgtczCPlIQS0NlsA8dZ18DrTVaplnbkbQYspYfIQSe5xEEAY7j4PoO7XYbay1prEmSJFuDpEGhEEuPGZz832S5pyaE4Hff+9/5i0//NePHnjJQnMvlcrncv8v55+7kyssu4SN/9hcrPUoul8vlzgBKKf7wfe/hAx/+E+bm51d6nFwul8udAV7yY1ewds0a/vrv/mGlR8nlcrnc0xIr2Pzy7LynJoTYDnxm6QZ+fTn48t1PGMjCJD/gi/Kcuh54KVlY5yzgb8jm84HtwPuANvBHpzv4Ann45RlLtaU31PzpTY+h6SIlLKYR1d5hWmmLglNiaEMf3bmQw9/YQ8/6YbS1NBdCFh98gvaD30bvvR8VN7GtBawGoRNMt4NNYmynjpQC6/qEaYQ2ir7AR6qAARFj220QCi/u0kPE+GyXMHUR5T7eftFOEt1lQ3+ZfpXiyJjVooknUmx7jlQUSLUmcBTSelQ8w0VnjeBbgx+1cKShqCRllZJ6NTxfUPEE1qSs9gQjlQJziy2ONiL2zrdYNAELkwcZ78akopekWCGtH2XiK19l6MoXM7BhJ6FfpOP4uJP7sbURzAtfjdhyKdPHDpIqhasNQihc18X3faqjwwxs34BxFc3ZRab2H6WTxjhSoY0BrUnjFOkuBSWkIHEls4eP0zpRJ02zRhuhyBpPlt7Et9JihMERDt1WFyklzWYbIRSV3iphEuKUHIS0WClOrV5aujAARoOSLkkUZ20piUBKB89VxO2EzkKYrUgS4tQzTWJSXN/FWksQ+PQM1LDaYNoR2hocxyHo9RGOwVeSrW96JTYE1xMIkbXQPHrbvTx2x32cfGSckgogDFm9aytxK0FLgy7A2KU7sZ6XjYuhVKvAUrtLqrN1NsYYXM+jf3U/pf4ytqyo1apYnaKDbJXQ4vFFvMCnKAXMNFBDFRAK0dQEc21KI320Dp3k8A130pltsbD7AGu2rEdHGqw8tT7H2BQSwfHHjjJ+y8Ps//LNdK3F3bcfc/IQJSGpXXgOsuBnM1uLkQalFJ7vkCQJYRiSIjhw9x7EkTokoJbWOQkBju/hFj3cooPCoqzk+O4jmFZCeaiHoFZCCYFyJbGO6cxNE8cx21/xQgIZYMKUcy+9GFVwGThvOyObx6iVKjhCIgsKhUtrtkl7ocPQtjHMYofeV57D0MVb8TyPqVvuJzVQWz3M+ssuhDDEX1Ol74JNhM15vLUb0I5FTzUob1hPcetmfG3oTs3g+BJNzLnXvgbn5ATjn/08uz/zFcIDU8zMTmGVpa+/h1SlOEGB1mITdNbYU+2v4hc8GtN1Cn6AXy5QrBYpVytorbEKlBKUa4VsjZfWhN0u0hGowCUoZA1JXuAiTNb4ImUWrJFWYoTJ0ky53NNQSvGH738fv/dHH2JuLn8xOZfL5XI/vJddeQWrhof5zGc/v9Kj5HK5XO4MEAQBf/C+/85/+50P0Onkv/2cy+VyuR/eda+/lmarxVdv+vpKj5LL5XK5pyPEyhwysbV2x1MdntmnIkaBG4Fe4EPW2o9+31maSx9LP+BqliuJWs9khmfgTcA88BZr7UHAAFhrE2vtPmvt7wCvBq4XZ0u1eAAAIABJREFUQrz9dN94Hn55hrpRTIrAwQWhUTpbCzBXr2NJ2TMT8tjuKR656wlSd4TZPXOkicIVkqSgSKr9dOKIxJPIMKI1tR8rDK4VKCFROkLqGCftIkUB4fkgIs6W07j1cQqt4+juItiUpLnA2YMenWSRHe4C8+0mx6OA6WaI0hGJlWjrkU7uR04fwHn0ZkpRndrM46zSx+iXMf7sE5RtHaVcEi3opobYOpxsJqSpJoo1jhAk0/sJJnYzPPMwG0uGQrGXB6cTCms34x07SOeT/43gsx/Hjzps+K+/D8PrYe1mUC5i3U7CLVdwQA0y2S3gHLmDDT/9m0RhC+u6aK2pDvUz+PqraE7OkbQjWtN16EQIKU+FUKSUKM9FuYodL7kUs74fp+BhjMaKLG6ilEIuNb4opRBWolyJ4ylc3wHXgoJYx/gFD+ultMLs+UFGBr8UIIQgMRrpOkiZfassV7AnSXZ/Lze+6CQl7sQIA1ZnMxqydg7pKISBNNE4JZfYamZnZ9FhguM4WJuFUmzTYFNJWfjs+eSXmbx1L1GYBUIkljCOMEZQLAS4VQ9R9llcrFMe7cMZKEHR5+gj+ymsLrD5vE30jQ0RpR2UUliTEhRclFKksSbqRsxPzWHQXHTdT1DauoFyUKK3srTuTWnihYhHvngHh299gIWjs7TDEGsk3/mrL2Clxds5hqsgjWJILI1uE1WQ312ntNScA1ColFicbtCebHLwDz/K7m/eyvjde0nm5jn6t19Dh+mp+80PgqV1UxalBS4OaEvSDNFRyuKxWVKtMUYT1Ao4rqQ0XKE4WsMrFbIGnTShU+9A0aXoOFgjKPVWEI5ice8RqgN9TDy+n2JvDzaBR75xD0plj8HGQwfRRY+z3nARQV+BVWetRkroGxtE11wGfvyl9FVH0EJiWyHeRZtQpYA4ikgUrFm/nuK6QQrCY+TKqzh0283ExR6Km9dQWLWBuHeQ0E1xBcztOUqx0+W+T/4DsydnOLHvKNZqNr/2crZefRnjjz5BY6YORtCab2DD7OuChrgb0ZluYGNNs9kkbodYa/A9l2J/GcdzcQoecRgD2e4jISVaa9yl1pwg8E+1HD35cY0Cz/OwJm9+yf1ghUKBD/72e3n3b/9u/mJyLpfL5U6L//T617Kw2ODGb9yy0qPkcrlc7gxQ6+nhvb/+K/z6b72fNE1XepxcLpfLnQF+4R0/w70PPMg99z2w0qPkcrlc7qmsWPPLaf40hBgAbgbWAX8F/NpTnG186ePo01xHCagBC9ba5lOd51mwGbjHWtteOm6WZlHLZ7DWfgu4E3jn6b7xPPzyDCllgQSNRiDpUT6VQgEjLCkux4438AJLoCroNKTe7LDgTSNrXR678QH6yi5uTxXCBF3wmf3al1FhByMkVoCVCpIIG3eR5RLCK1Nqz5IqiXUkVhjm/FHioAdZ6cVpTFB1A9JiH0UHHpxpsabmEyYGgcFpTxG1ZnESgzMwhJw/hmnPkzamcMM2Xu8qdJjS0pJ62GW2HfPlffPsPdHgSwem+dK+ef7psSnm+zYxN7yV5voXMhUVKAqJFSnJPV9E1OtU3/6LqHN2EE4cY/7eb0CiMY0pTHGEhTSmngi2yEWG7vlrulteRmNqki3vegflNQNIbUltSv2BxxBhQn3fMXQ7RCqFSbMmESsAYdGuxCuXaHTmcSabjIwMMbBuhFJ/LQubCIGqBAiVtbcYY9CJwers/rMCdEGA52EU9PTU8ByPoOgTC00SJgjHUKgGIJ607ihNsWm2Ymb5eoWxoA3WkSRGY4XBCvA8lyDw8UoeqqRQShF2InzXo1wpEhQL+IGDdBWmKKBg2XzRVtKiouArrDD4KJxAgFSoVJHOR3TjiEY7YvWOTXRnG7TrdeRiyNiVF1Ad6ieQDhPHjyOtxXEcelfVqA7ViML4VJONACQqC1IQ0Xf2JmZO1gm7EcWhMj0jNYZGB0jDFI3AWIsnFHEY4cbQOT7HUG8/9TRi+/99DVJC89g8Wmv8ggfaIB2FTi1SQXe+g3IcgoKD1R7xyRbdw3Ue+cw3SDsaHadZW4m1JHGMFWS3bbKVUsYYjLEILUji7LjGkoYJYRpRe8EmqgN9JEvrf4LAI45jGvtPsPqNl1MeqtC7cYTIsUztm2BxYp76sTlsHGGtRaeW8f2HcF2HSEOzvkC5XMXrLSEDRd/YMF6twuL+CVLPo4NCWuh9wQ5GSjWO3/MI3YOTeEIQhm1sKyTSBqfVZvTa1xEcHmfVjh1Eh/eRLhwjfmA303c8SPvkLPtu+BY2Shi/+T7K1sMv+LB2DbQjyv29pGmK5zkUegr4gYtODKmO6TRbpGlKtxshAkVqNMNjo3REgu/7OL5L1Ori+i7KdSjVKoildVjdZki5UqHT6GanKQgqPuWectaOZCBsdcH+yKzcza2g3t4a7/mN6/mN//G+/MXkXC6Xy50W7/rZt/Gd+x7g3gceWulRcrlcLncGGF2zml/4mbfx7vd/YOl1kFwul8vlfjjv+Y3r+Ycv3MD+Jw6s9Ci5XC6X+35SrczhNBJCVICvAtuALwA/a5/6PzP7gAgYXGqJ+X4XLH3cfVoH/ME00HjS8eUQzOD3ne84sPV033gefnmGulrwuv41bChWWOMHzJuIVhgirUDJiJH+ArMYTjiGgg2YFzEXn7WDymDA2CsuJHb6sbKA0ClWG0bf8FMkroswWTrj1NoYt0SiUxqJREVtvKlDJI05kqkTeDJESYHUMa5OqTQniNotBksgcbBRhOv6eN1Z4m/8HTzxMKnRCOlAtQdZrGBK/cTNRWZUD7Hw0RKEdDnRbOE6MFBz2RT00Nc7wtefmOP2AwuEsctsq8u9Ewvsnw0xriKanKDvFa9FBwNQ6KU7dRTv0rdwcvRi4rELSKKQvpn9DO/+R6YWGxRe+FoaiUTvvBSz8cXYnl6U61AuVWk9ciQLuqQGTPb+uxBZg4qUAuU4OGPrWPP7n4Dzf4zSmhonjh6nct5mugWBEGCFxXS76DRdamCx39PeYhPBlje+nJ7BAtuvu5rhF59LFEVEUdaC4QcuRmdhF6RFGItJNGqpCUOY7DSbZsEYay096wfxlHPqMeL4HrIsKfQXqfaUMUpQ8HzSKM5WFbkWXVE4VjKwapDKYA9z0zMEtQpagPAUxkmRjiB2YqQEQ7aOyROGI/cfwvc8HBS2t8j4/oMkSYS1mmKhQGX1MFZaYh3TarQJioVTQQcAm2rCZsThu3fTcR0KvksXSzixSGeyyeThSXqH+oiiiGK5SJokYASOK9HS495PfJZd11xBHJRY+8Jz0VJTqVSy1h3XISh5pDZCGAdtEkSgiOIY6Qsc18dosEY/abVUtsJKoBAWtNAoJU8FNpbbSZZbZdCWNE3xSz5+CrU1g6AkhbJHGiZILUiE5eAXb2ftqy5jvrWA77sMnj9GEsX4wqU518JbWv/jhIr7/uIG4m7I5qt3MTe/QHX9ME5/lZFLdtHzgu0Mbt6I1F28wMXpr9GcmSbRhrPe+Er6L70IffwkatUwxWoPjXYdp1ZFLzSI00XGv3o7x265l8c+9jmm9hzm5OFxZNcyet4Ozvnlt7HhZ9/AxpeeQyPucvhTX2DP338TFrskgcTxHKIoIkwjcC1WSUglMpUo4VDQLsVKicX5OrXR1UTdEM/zKPVVSdMUJbJ1RsJTpElCkiQ0Fhr4JQ+hQPiKVqdNp9PBpCk2SXE9L39RMPdvtnZ0Df/v//N23vM7v5c/bnK5XC53Wrz313+Fv//CP3Lg0OGVHiWXy+VyZ4Czt23hta96BX/w0Y+v9Ci5XC6XOwNIKfnA+/4HH/7En3Fyamqlx8nlcrnck0mxMofTRAjhA18ELgS+BrzZ2uV6h+9lre0C31w6+sanOMvyaV8+bQP+646TtdUsW06Kvuj7zncuz8Iqpjz88gwVHYdbwzbjnS6TYRdlxdIbfpZIwPHZGWxSxO/EHG62oAtHj9XZWhujOD6PNzpEZWQIx/PwCwGuX0QiAAPKQWqNTENE1MCRHj00sX4ZXenFGVqHpxS93ROkCxOI+jHSOEJEKZV0Gn8x4aLRgGZYQZoWRC1Yu5ngoisQxQoijdETh4ndEqpZRxZ9Ko7mYOhQ76Sk1qMcFJG+gxQBd09ME3bmefOLtzI27DKkj1JS8PptA1y8vsKFVUXflnMJt7wY4fg0H7qH2Cvjy5hRsYCDh1MsEw5uRa4/n1XdSVzHpeZ06KgSsmuoH9lHalOmjhynONKLCjyEANd3EY5E9wdoT+J7HkYJotkJiuN3Uh3aSHtqBuEUmLr9QdIkQdZKKCmxqUAKBcZmgQkFVhhMakkdi548ydCmdaTNiFazztD5ZyOkwZUuYRLi+A7SSqJOmq0ekgJts7BLmmq0Xm6EESilmN93HKuWVv54goQUUo1TcWlFKf07RxClbBVQag22q0lnImIvJV7s0jixQGOmydTESUpFFys11S0jVNYM0jPciz/UgwrcLJhjgHbMzOEpiAxMd2ntO4lXLLPz2pdTHhukPTPPxvO2E8UGz/MIw/DUOiEAnVi8gkfrsUnchTYFJdn+qstQfT7GCko9VVr1Fq5w6bQ6eH4B5Uu67RBnPkEklgc/+3Ue+9Dfcd8nbyRQHu6qHrRJMGgSm1DbsZrBWgUfxej2szjrLT/OWZecTxpnoRe5tJ7KCIuQWdPO6K6NKGuwZKGiNM2ezz0kCIOVgoHV/QS+w/DYMIMbVrE4PU/rxDw2SUk6McYKjExxfMHarWPs/9uvMnrlxWy9eAdutURpuIKOsusN210qg1XwwZMuXk+AWjNIcnQW6Xj0bVzHzC33cfR/34znQHJiGjtXh9l5ZDNmptlk5q77iSwUdmyjdfgQc80mZrrO1AO7ad71Hebv24tJUta85ELOfse1rH3tyzGpYNv1b6F8xQsgUDhRi9rOC1g1spqt/+Vt9O1azZqrdjLg96CUx8D6NVSGa6y9cDNeuYjTV0ALg4k03UaIdBQ2TrG+S9juUOqvkrZCdGRIIkPU7CA9j0KpgBM4pLEmbiZIFAOrhnCGKpBapM5+QFs0jus+d0+quR95O7Zv49WveDl/9JE/WelRcrlcLncGkFLywfe+mz/+/z7J1PTMSo+Ty+VyuTPAZS+6mO1bzuJTf/23Kz1KLpfL5c4Anufxh7/zW7z39z5Is/lcbZLI5XK53L/qR3jt0dJqoL8HrgK+BbzeWhv/Kxf70NLH9wghznrSdV0C/BxZC8v/PC0D/tt8B9ghhCgsHf/npY8fFUK8SghxjhDiT4DtwN2n+8bz8MszFKYpC53u95yWRSEE/TLg4i0bGCoprnvzFYwGHr0DPhvO6qU0OsB943vh5FHQilS4GClPJcKsAJGmWAHGLYJXhNYcKA8dlEkcHxV1cYollJWYIAAj8NIWUWcScewJ2qrDjXubvOUTN+M0p0nqxyhtOBs/cnE37qJdn8Et15BSkq45j051PePzEY7rU/YcEhPjui4bqkUOzNW5cNMAG6sFlNaM9Q3SqqzlRKyoh23KQtNIYH7rVSA05pb/H2Ym6Nk0xsJfvhfj1SBpI1yPQErCVTtgcZJoYQ6306TPhOjA4ewfu4K+0VWkYUTaDNF8t6lFWnDaMb21KikWRyq8mZR9H/kUUzf8Bdt+9ZfZcuUL6GpN0NK4scHy3YTdcmOIMQZM1hriapi8ZTelC3Zge6oMDa+hfN4GCn4BoyyO8rCpRScGVzpIKZFSojwHlMR1naW2ku8GNISQCL3UUpKC7oQ45TKNmSYDa/pZPDxDuVxFq/TUyiSlJEXr0m60Eb6kiKW2ZgA5UKO8qo9wfI4wilEDVaLZBgVXMjy2mp7BHqyXfX4RCU4lwBUOi3Pz7P3Hb9Ja6NDpdDh43x7SbkQSRkjEd1tUpEQnKd25DtqV7Pv0F3HOXsv+z9/C4rFFokZMq94CLMJRSN8hdiLSNMVxXeSAh/IdAjdAFVz6RmpETU39kUniMEFWXZz+CqNXvphpL6J27jpmDx7BNOfYf+8DSJu15yyHcYQQ9Iz0su78rfRfsAmnEqDMcutL1uaTugIpHGyqabQb0OcwtH2M/lddxfBll1PvNHGlQhRd/ECh/IByUGJ8coLa5hEcfMyWnVTWraY91SaNU5IkRQjBwswihWqRwc1rIEkod2DoqgsIxjbSmJ6h98pdmEqA29/L9MGDHH18D26lhzDpEB2cYPr+w/iLMxy88Ta69Q61kWFWX3w+pdWD1MZGKa4fwu/vYfLx/YSPH8QeO8qun3sjMoxIXYMUHp1HDxJOHaZ+coqFO79D/9WvRI5uoxFoOo0OqdF0Z9qMP7if/uE+gp4ChVoRVYJib5HGVItGo03jkSdwg4DOfBOn6FMeqaJFjPEUgZCoaoAQnHr8msQwe2waPwahQFuJ0ZBEKZVK5Vl7Ds2dmS6/7BJmZudWeoxcLpfLnSE8z+Ot172Bu+69f6VHyeVyudwZ4rXXvJJ9Bw6u9Bi5XC6XO0NUKhVe8dKXsGfvvpUeJZfL5XLLhFiZw+nxLuB1S3+eBT4hhPj0UxwGli9grf068FGgH3hICPGPQoh/Bm4HXODt1tr50zXgv8HngQ5w9dJ8B4CPAGvJGmgeAn5h6Ty/ebpv3PnXz5J7KgbA2n+RHqr6DoF1ODl5hC2bVnH/Td9BuQaZSJzRPo4fPAnjHgf/6vOs/eV34chiFkJBYrHIJMIoi3R8DBKZhjgiJY4lTtQikYZ48ig6iXHKvUingggCOHoQXymaSQoK/vzGO/j09W+i6YSoe+8hKU2jL7sGE3uUan2wficibOMSo4xkqOiRItFaExpLzVccXYypVvoxcZeZMOTrjx/n5WsLfPZAi7v2TXJsaooLtqzm9Rds5+w4RsSz8JK3IoSkufduqm/6NUxrjinZh5um9M5P0Kyuw19/Abann9bn/hh3aBtBbwC1IeaO30pQqxAEHqVqkYV9xwBwhKQ2tpqFx8cxpyJGlsRK6nsPszj913iTbYY3jYDnUH98HK01T/U0I6XECoO0giRJmL7jfoLeIuF0yMnxCapjI7R3H83uWyGwgqztRSxd1qaIpY4ea0224kcKtNY4jkJjMdbgOy6edRHdlKEto3RlytoXbefEfQeRnkJ3NcYYpHToJimFYkDQV8Etl2gfm6J5dBp/qBekR/9Zq6jvnaC8eYSzLjqXE0cOIestEmIqlRqjF5xFuNDm+J5DyFDRidr4EsoDNeJuTG+hxMkT02AsruthkhSrs/VzwlFECyGi4DF948MYR4FRJFhUGGGtgwBcx0FbKPdVaLfbCJNiIoEWGhunjC8eoxSU0J2UwC2wavt6+rZsZubQUYTv0nvuGM6O9ez7p9txY4URYEQWbFrWaXVR52xg/xdvo5tEFDyHTpwgHXD7A4LNq1i49zCOUUTthP5Na4l9Fz9JiBxDOj6HVRLbSFCriiT1NmEk6D42x+orz2Py7nsZ276dBz9zI0ILhFxeqQW9gz00F9q0ZuYZ2LWR+RNT+M0mKhWc3PMYasNqNp61mUN37SaeqbN69QgL+w+y9qqrmLr3XhrHGiw8dpRVY2uZOTLJ5K13U9mxEbOwgFesUNg0xurBIRoTxynVapzcd4iBF/YhowgVhkSPPYSe6eLv6GF45xaC9auQUQwLU5T6q9SbXXwhSdf1MtDXR/2xQ/ij/VgBpd4e0jhhcGM/s0emMUUPz/cImx2MMXRbIb7vo9sJJgjQzYi4GyGEwJEO1mYhL1962J4iyUwbYUEaSX1u4fQ/eebOeErludpcLpfLnT73PfQwP/maH1/pMXK5XC53hkiSBN/3V3qMXC6Xy51Bdj+6h1e/4uqVHiOXy+Vyy05TC8sK6X3Sn1/3tOeC95GFYwCw1v6yEOIhsvDM1UACfAP4XWvtHc/CnE/LWvsVYNX3nXa9EOJe4Fqyz3E/8DFr7ROn+/bz8MszpNDEKIRQOI6DTroINK4RGKOp9taYmerSW6wgopi1Iw73f3E3Pf1V5hfmSB/SrC1USdA4QiBTi3UsCIu1GpuEKK+AtRqTdvFEjFUBujiIsQeQPf1IneLaeayU1E9OU7ENRGUNtam93PbOFxB5muu/8AQff80rSY88jpo7genfRLLhIkx9FuVAnC5SLvXQEi6klraBMJFMNZq4XpnNBc1/vWka2tOcvWmMu2ZTSgJ2rO7jx3cOc9fhKabmF9k82ofv92ObdZLEUhvdTCwhrlS470AIKuZlfYJeN6Jz8gQqbVN8yZuJbvon9ty0Bw+JWymRzjVpOhIzOYt0BML16L/yfPzaIHP7DyGMRAuQUkCakiYC21kgQdDeNw6BizAG2VvCtNo4kcSqLGShjQFpUVKR2hThKup7j1Ed7KHZ7DB04TZm7t8HGIwAkFg0CAtWLrWUCIRJsZ5EokiTBGOz5h6JwHEFaWqwDrhIuoGh2uMixusspJZqucTCbIwB/KKPEILYJgA0pxo49TY9fT0wOkzj8ATO2DA9O7cx+8gEI5dsIxIWpVwYKVKWvfiBx+EHHiNqdVl/7jbqx6dwSwHhTJOGaUKYkAhLrb+PuekZAqUwSQrCAAKMJTUG2YlJXYmVFlcILBbzf9i78zhLr7re95+11jPtuXbNU89DujudeQ5TBAmDgqKiB7kqR/Qc0aOIooBgmEHUK4oDF/EK6OUlKDPIJCEhATN1OulOz3N3VXfNVXt+9jOste4fu9NOoCGG7nR43q9XvapfvZ9d9dtD7V1V+1vfX9oL9VgByvUoFgNWGi0CV3DZ5ZdzcOc+wk6KE7gU4zw6tVgJYdTFd1z2fuZOdDsEKTn1lXvwlM/49nV4o6M0dxykNr2CxpJGCVIa3Lag2EnpztQpBjmKk/00Dpyg1Jdn40t+kNRx8Y3D/DcP4jiS1oE5ZODR3HucZthhbMNaTj58gPIlA6QLTXKrqrhWYbuWlf3T2I19aCnJrR+k+cgcRgkcR6GkRClBYbBEt+7g+gW6tSaJhdHBAdCSdVdeyvF/+harV09wfGqZTrNDHLaIvvhPBOU81a0jzOYM2zdM0jw5x+zcIh4OYRzi+DVmdh1GW8PYNdtozi7iV8tQLiHdUYTQOIMjeLd/k6ndezGdhNOf2M+l//Ml6LFVrBpdzXCrxs4P/n+sX7+e5ROnKG+cpL3/NIlO6SQtStUSC4dnkY4grEWkUYwbeAT9BdxWRG6wTGulSWulgU4MQivS1KBteq4NqL3coVDKI6ygt/So97WSyXw3pk+fZmJ87L8+MJPJZDKZx2hmdp7xsdELPUYmk8lkniJ2793PFZduu9BjZDKZTOYpJIpjgiC40GNkMplM5lFPXAvLeWetfQu9YMvjOe+HgQ8/cdM8say1HwM+9r3+PFn45XGqSEHgwc++7Hr+5KP3c+VglRwRp9sdtgwVuWemyaZqP7XlFVppjsbiPIMSimMjFIZKNKaWiY8/TG5kPcLLIZUh6VpULo+UHkJa0lwfQljkXI1YR9h8ERVK7OgmhAxQpkncaeLi4lZd3NxWopkD2AWLH6d8crqPX3nOGhJSijh0ZYnIOLjNaSgMIOqzaNfFdDvMWQcdWxa6HXKeT7sriBp17jqzwo9eNszafD/XTlTYOR+yZbyf+egMS92U17/gCkTYBNlCJwHLhQHGzjxCs28d1nMoN5ZptBLy+UH2tXPML3V47rabUJ2Q0HdZOnqUQCuUNdiiQ27zBPXjMzie21tPpCTVoVEe+fjnoVpA1Do4VoEArTVSSQQWqy1WCJzU4OQCTCsidhVbX/+rNO/6BlPf3IUrHJIoPtu40mtv6R8ZROV8arNLtI/PosO4t25JA8KQKok8u54HAZgUVQ2gYzFaA70GFaUUaWIQuvdvqcAdr7Dp1pvY8//+I+5EETm3gs35qKAXyDFW9441Fi0MphsxunkT7TMLJEmX4ZsuxRkoUj9yikt+5RWYxVO4Tg5noAE6RtXaRLU2SoNvPTrT8yTSIlpt/LESYaNF5bJVhHPLyIYlJ3ys7V12Y3oNOtJROEIRxzHCghIK6Qp0muLmfFKb4BjB8OgQtZUVPKkQFuZzGinBygS0IE5Scn5A12oCz6M938DWIoyUKBTNxQ7ChISLLbrqODLUxKlFcXYtVSpIleKhD/0jciJPeKZL9/Bp+vr6qNsWLjDzuTvZcOvNLHzzICkWE2vqD5wiTRJyfgCrNSM3b6E6MUor7BK4Dp3TS4QLTdo2pV96NM7MYuY7JK7BVz5aaKQjqV66Dne8yuFPfYvmsTP4o1VYqdMs+uhuQrfRYN3VVzC1ey/bnnENu+/ZQRiGlGshdiCHnWoRKs2u+06g84rVm9YzN7vAqs3rOH74GOufcx2LR0/QPTyFWykS15qIxjJJOcVVeVCK4rWXEwQeRz/1ZZRVzN21g4EX3EJqeyu3Lr/xOjorLZyWZmHnMYJCgB/42AS8ckDcjSAROFbj5QIcxyHppiAtzeUGjhWQ9qp2hKPwpUSnFq17LUR0oJ22e+1sEs7e4c/7Y2vm4nbfjge58bprL/QYmUwmk8lkMplMJvNt3bvjQV78/Fsv9BiZTCaTeYpI0/TcevlMJpPJPElc3M0vmf+mLPzyOPVXK6x3PB6+5xTrbUQ130cz6DK3lMOr9dYXpVpQb3dYM+RwbMGjVArozi2TRh1GN41h+wYx1tKtLaDiEBXkIMghrUYnKV5rlkgbGBxHddrYJEZqjbUx2vWIOoagnKdz7BA2hPSSLaTbn8uJrmadaPBcx2Uhstw1a3nu5FqEW0E2zyAcH+PkiAbXELRn6BYH8cKIME6ZrJQIrWDTsOJ0s8Gz+jdx12ydfClPLCw3j+ewc/sZ3rKFWqeLWjxFGIySapd7F2LW5hNyq2/kq/uO8yObR0h1zPUbVrOv6XKs3uUlGwdxV06zMtBPqbaIN97H2mtuIW7WifftZ+b0aTwlcYwkSWMGXvqjnPnK13Aije2mSKt1BVNuAAAgAElEQVTQWqMl9K8ZpzLSz6mHDiBF70V8C5g4QQsYuv4K6memcQNBqa9CfXHl7OqiXpjFAkuzC6z+mR+mYDoM3HwjpX37mD90mnC5iUHgCAGqt6LHcaHg54nCGCsNGEEunydJEqy1OK5EG9ML7fg+oh1x/Mt3E0rB5MQ4zekFqoNDnDy+hMw5uAKo5pFRQmn1EIOTQ6itG/CXu1TGxmi2ahRlQKtZRzWW6cwsQbXM7J276ERddEdTrhRpRU1y+SKLjTqlgT5GJiY4dOAQ6196C8tfeBAvF9AxDfAFjnBILBCb3rqbSKOFwfcDom73XAsI0sEvOPiVPHnls7iyjE01QcHjihc8g5lj03Q6Xch5JF2NG3ikOqVcLtGJusweOYOOUwwWlEEBWqR0Y85e/xJFbwalzt6mWmOtID1VR1mFyDkkNsQLBTs/8hnKXpVdf/PVXmJTWwQWIwwyJ3H7fFpzNXJrBlHCITozjxofYWD9auKFGivHZpjefYyictAdiyd90jglXy0QRyFho8XK3BxexSeut+g2mhTHBzBSIYxl5sv3M3rrDay9+QpEJ6W8ZTXe1DymG1MdGaHRSPCX6njD/ehak/nZOZSVtGeXGVo3wdKB44xOTJJMKJKlZdJKHuM6iEYIJRetwS8U6M6fYfUzr2D50BRSWJbuugeZ85m7ZzdxmFIulInbCW7exZUu1oVA5Vg5vUh+sIKNU/KqTCI19TPL5Co5ykNVVuYXKY0NowKHcDnEz7s0FxsgXdBgU41WEmEtXk717tNng1yZzHfj4d17eNELnn+hx8hkMpnMU8Ts3Dwjw4P/9YGZTCaTyTxGU6fPMDkxfqHHyGQymcxTxN79B9i+dcuFHiOT+Y/8/IWe4PuSyK73JweZhV++n2Xhl8ep1Y34VhiTr9cpqQJfPdVmsk+zKqdpd6C/kGcgbrB1+0Z2HTpJGgQsx11KQUzds/hnFsn7BUS+TD5fApOAtViT9L4mpSRB4XkOOolBGISfI027KJ2g4hDdqSF0kWT6CHLrjUSlSbraxQ9gNqkSJxF5v8Szh5eRQRV37hgyVwa/TK59im5XI6TBhCv45GkYjYkTBnIuRzq9VhPdWeQZY3n6lMTB0ggNeekS6A5OrkTLLVKPYtpS8YVd+/ijp0/y97unuWS4xLvuXcYPBthejTjTWuCnt4ywkBj65g4yUMvRuP2zWK/Kgc/8A0HDkDi9GqqR7ZsI0TgG2gsnaDY7CCEQxmIE5Ab7KFZL6LyHFpJqpcRyrYFwFG4uIB/kSAd9BpSleegYC8ePES3XcByHNE0BkFKeDVtYmv94J8HkEPX9e1jceZQk0TxaiOX4DnEa0dfXR7fbhbyLaHUx1iKlZGDDKCsnZom6CVJK8n15oihBOJbK6kHOnF5g5LoNeH0F4uk5zjx8GLW+n22Xb+PgHTvpG+hjYeoMiYSFqUXi2RXWPO/5mFYdp1Smdvgk/cNVjt9+J0H/AKfveYhVT7uUI1/eibASGTjkbJnB7ZMkDx/GTS2nFqe5/IefTvvEHBMvuomTn7gDHWuElBiTkqYJAs6FTqwFx5fE1kEKS2pNr53GCFrHloiVh1AK66eMrJ7gwP07GBseJ7IgmymCBG0kbiEg0hGup0i7vTYRozUm1bi+h4OD0RbpSISxWNtrFUmSBCEESkmsFDjKx1rN5psu49Tu/eT789ROrdBVIda1uK6DthZlHDqdDq5RNBfbRO0u81PzOOylsHWCyXKFfZ+9g6jewlqFn1i0gqgVghQopeh2Iqxn6aRtNj7nZuL5BU7dvovlpRorBxYYueIS8pNDdE7O0X3kOCs6Ilxu0X/lBsa2b6ax4xA2jBDK4o30022EeIHHxNaNdDsRynWIhaYy3o/OCxw/IF9eg1xawo1S0lSDDqC5QhKbXpPR4RUW90wjjSWOUrRjwQhUJOnYEK01QayotVZQTYd8NYfwFPFyh+JYlSiJaC+0kJ57Npilkb5Lq9PEKeZxrQHp4BZ8kk7aC4QJgTEGq3p/rYCUvUBZqs/zI2vmYpckCZ7nXegxMplMJvMUcd+DD3HjtVdf6DEymUwm8xQjLuIa9Ewmk8k8udz7wA5uffYPXOgxMplMJvMocQG/389+zHhSyKJPj5ObGEa9lEJsuWFrP88a62fcLTCac/DdlFrU5YyxTC3V8YXPSpQw19Y87YVPwzYciuUBbLNGtLLC8r4d1KeniaXCMWCTBKVjHB2hDcjUYB0f4/lIv4C1FmNMLwwiFe4zfhKx6Rk0IoMQmpyAck7iKgfTqaOVz3IHOoPbMPlhhGOZ9caw1VWYAzsotlcouj7lggdC0Ik0w3mHrX0Frl03yM0jirmwy9G6INWSlcpmOo7P1w6d4cj0IhXP8KU905jY4//61DHuP36Gq8qCEa/FfXv2sWcxZtRRfPVYnYVuSmPN9ZwZuwr13B9hcMsmttx0M/3Xb8ErBoxuXE3NRBSuu5bC+ADu1ALWJBgl0J5CSknSDlmZWWRl7wnmHjpAo97CERJHSHQ3ZrldI98/SHvDVpamp/C12wt+cHbdkRDgSvycj1CCljbM7D1KdXIcLSSOVEhH4Lq98ICwkiRJCKMutFK0AIzF8zyWlhfASrAWYy2dVoiS4BZyxIHHtudch56v4VlFZ36F3FgffsHl8P27iUyL4rXbKG1dw6pVE1S8Ahu2bSSem2Vl5jTB7j2IVp36iVM4qWD5wBRpLeXAV++l0lfA9R3a7ZB2p87CoVMYDUk3Yt31VyByBeYPnGHvR75I2rG4yoPEksQaaTkXPhFC4AUesU4xSYpB4ngKx/HoNNtIx+01w6wuogoeyUpEa7rOvrt30z9WxUpDIgRu0UNasEYQR2lvTVRqEWev7zROekEPII16q6WUUueaZlzXBUA6AinBLzgsHD3OppuvorVSZ901m0jjmHKxiBUKE2tSowlcD8dx8DyPpJ2ShilxZGgfPMN9H/4c7bkWJpaY2JKaBKlSlHKRCCqry1hrES2IDi7S9iQ2l6c4MYCjFJ7nMn/PPponZ/GLOaZr84xt2kA632T+nn0s7j1AarssnJihPd0iGOmjVCnDQEDj9CKzew5TO3WaqQf2ceKLO5m/ex/H77yXREF+7XrEwDDO4BBpYojCLiJJmHvoAAcefAQpIdUWxxcQpzhCIgoO0oIfKPB7AS6Zk2htUDEEQUBreoXmQo2R1aN4jiRpR7jlEsoalHCgE2GSFD8IUK6Dm3fwix6Op6iMlihN9JHL+SgrEWmvpSeTeaySJMFxeplaay1vePPb2PXIngs8VSaTyWQuZjt3P8JVl20H4J4HdvD2P3zvufWdmUwmk8l8txaXlhioVgEwxvBrr38TR4+fuLBDZTKZTOaidvzkKdauWQ3AP375q/zZB/7qAk+UyWQyGYS8MG+ZJ4XslnichLB0DKyqOszPNYn0Eqn12VF3WNI5RApNqTky2+KhdkqcpBgjOXjvAZ7+y5dz4NgpvvG/346jQ4a2XU14713Ik4fQhKRRh2Sl1lsJYxLSpI3RGmtSTNjASSNcYVG5AsJ1CHIFHMehPyep2BZV2ojl08TaoFyHSAa0YkVkLGLhKC0b0NWSma6lc+PzMUGAazso41AueHhKEWAJnTwBMW6nzqqSy+Y+n6Mdw8ceOMhSo81IMceGccVH7z3D9KnTPPzIaVbaCe998XYONAJULsfTtq3nhZvLDJU99p+c5WRDo70CswsxO3JbSB/YycyZQwSjwwzf8gyKL3kZk8/5CfKnjuGt3YouKSavuAR/sIonBUL17rLC2HPtLcaY3i/BXYVTzKEMLDx4gJmPfJx0tk5zaam3ykdJkCAdibS9X3RIKdHtLl6qOPjZu5CYXgADhTEGx3Gw1tLtRIjEEiVd0KCsC3lLSRVJdYw9tx1GYhLD6ufdQO2RE+z97LcYXDPC0fsfQRqHxdkVOlPLJElC36pVLB+YZvSS9cxOzzD78CF2fepr9HmS+PAp9nzlfo5//h4O3/EAfSMjCJ3i5BTkPBorIVpbhCcJ/Dy+cAjKRWTehcU2ez70BXwjKBbzuAK8wO0147guKIVbCfArefAUg2NDWCMo9BVxzwZforCL43s4xmA1tE4sES10WZ6aJ+gr4AaK5VOLBDkPz0iSdkISJaRRgtUJju8ifPVvXpx4NLQFguTsdf9oGClNE5RSKKUo5PPo1GHoB6+kvbBM3/pxFk5OUx0fpHDpKqRJKA1UcHICv5pD+wLp99YkOY5CIYk6KXQt1oJONGmcoKRPt63pmyz3XqB3PIJC73qJwpj5f/wWzblZunPLlEb7SNOUpekVioUyuhTQnytjkjZRK2F4yxrGnnYdkzdcTXVkEOlJBgt9DKweobxmNcaFQpCjdnIZN1TEacr6H7iKsas2ETVbKMfB6hRtQQQ+eeHQqq3QWVmh75r1rH/+NWx++TNY+4rnsf1lt1DZMsroxnHUoI8aLHDJrdcyccNm3MCjPNxPEms69ZA4ipBG0Wm1cYcLTF6+nm6zTXViFJPEGAHSdeiGbSojA1SqfVitCUo+JpCUy2Wk65BqTaItnhuc98fWzMVr9569XHH2BcqPf/LTPO3GG/iHT3+Wr91x54UdLJPJZDIXrSiKCYKAdrvD33zsE9x6y7N47W1vI47jCz1aJpPJZC5C9z34EDdedw0Af/5XH+Inf/RF/NkHP8QDOx++wJNlMplM5mImhGBxaYnbv3EXmzdu4LZ3vDsL7WcymcyFJMSFecs8KWRrjx4nxyouy5fZ112gKIZYPRETL0actpbVBZ+jcUzU8tB+BElKIiQ3FX1qYYOhwx2e9qKtpGeaOPNzJAOjVLdcStw6TfOukww+7dmk1TLWGmyaoFyF1RqhI4xQGK2RURdZGoA4JPKKLLTbRFqC8VgVzeEkXUp+whJFHjzTZmO/g9ttoIN+VlodurIAdFnp+gRW4zc7JB7YlgHPYXR+FyNDa1mIhxgoDDAsDTtmW+w/M8fhRcOzjMNYEOMbl8Nz81y+fj1fvmuKynAfpzuSk7rD3pNL3Li2zDeOLFAqCAbKOfpyFh1HfP74HG9+5lrEtbeQ7L8bWx5A5atoHISrSS+5Cbs4RfnaZ6KGNrDm5MOc/vRX6IZtHMdBd/9lfdE5cYrRFo2DKzSOp7B5B7soMFKjlMIYe67NQgiBlQKhDcoVkEqs6f2/sQate00lxhhMYhCOwsZg0bj9LmEjRXdq5Ep5kiSh24yQQFpwcXN5dDdl2yuew8lP34utJ2id4loQdUuqNAvLM1hvEZO0WLj/OL6VmAju/fNPkSsF6FaEwSGuJxy46yFikeIgGRgYYLmxjGMVphmRHxtCRDF6vknoCk7cvZ9cvojMKQSSsBkhOilG9S5PUMiRdBK8ksf45CDL9UXSNKWQL7Bx3Wb0eI7mgTmmdh/BK3sYo3FjF+V5dJMIsRQysXENM4sz6GUDEmxqsBKEkASFEu12G5H0Ai7n2kMsoAT5fAFEShhGKBQogRQOidHYKMEqTZALOPDRb7Hhh65jw9qrOf7hz5N4AjfvMHDjNs7sPoR39rYpTlYpFIvM7TyOkJY0fbTVRqKTtLcySwistazZsor5k4skOqVxYIni+jJWdElTxczcImrjEHK8n3whoDXfwrYjFro1/KDEytFZlh+ZRecsxUvG6KaauLHE5OUbWJyaob20TLvdpDnfJo27SOuBL/FcRdI2zO87TnF0EEFEPHOKbn0Fv1glV6oQFj2W7z+NTTWOkJj+PhzhI6ImplJh5KYryDkOxV1HOPrQQebmlhi/divtM0vMTk3hGg/rGMoDpd46KzSFQpVaq41qx6RpSlAusnhylkp/H6IYkEpDecsYhS1jyMjQXlwhdhThUhOjerdl2G2fnwfUzFPCvQ/s4MUvfAEzs7M8tGs373n7W/ih59/K+97/l8zNL/Dyn3rphR4xk8lkMheRNE1RZ4Pv7/7jP+UNr/lVVk9OMNBf5dfe8Lu8581vpFIuX+ApM5lMJnMx2fHQLn7rV1/FgUOHabbaPP3GG7j5+ut4xx/+MQtLS7zwuc+50CNmMplM5iKyslKjr1LBWss7fv+PuO11r6W/v8rQ4ACvef2beM/bbiMIsj8uzDzxhJ+/0CNkvhMvd6EnyABI9V8fk3nKyppfHqe20DzQWaHsVOm0l7j26quZagtiUmSxj0WgabuUpEdVFBm1Mf1Vlxt/7hYmLl3HFf/rp9n0yhew5yNfwJ09gZc0sKIPNbEGlEToBGUtSoDAPRcicNCkxQHi4hCRcImDCqbToBEJXAHSUTT619EcWY8KSiRJwlDRJ9GSQn2WhltiudNlNG8JMBgR0AqqNIoVsJJcLkdBauzENnSxD1c3WQg1HQTN2PL8S9bgiyaXliIqgUsnAX9ohK88dIin3zDOj18/yKCps843vGj7EA/ONrlxuEBBBUTCZUNfkdNN+OVnbqd910epO8t0HfByfaSTWxBpSBoE+K5HOn2E6c9+huTUbk78w6eIRUqQz/VWEX27xy0h0FrjYJBWknYNejnGSI21ltT03j8amBFC9FYAnW0gUY5zLiRhRW8lkDACRzi9VpKzGQ7l+oTNLo4jEQocz0FYiXQdrLQMDlXZ+xefRqHY+9e3014OMaI3H44isaBTi5NanChi+cETKCFxCzmkNhAlmG5MUO6t5XE1BI5LXvoMjAzQqNWQKPITZfJDRcYnhvC3r6Yw3geJJUxjOlGHtChRae8yDawZRqQSozVpmpIqQ9rt4o/k6bbapEKTdmLsxkGi6SUcH9KCJemkyBDiOCFBIwKF9ART+09CR+AXHLx8jmJfgVylt5Kr22rj+Q6C3poq5ToIT1EYKOC4YH1JYVWF/EQVk+9d337gYnIKp+xiY+i2u+T7PE589R6WT5+kFrZwcQg8H9HqUBkdpLRqGK/kY+OU+vEp3KqHTi1WG6zuvX90r58XeGgTkR8bxB/wCaoe+JbGbA0ASUpJg9tMWDg2xezOQ7h5B20NYqGLjyTFktoYty/PiS8+QOObOzEtw5GvP4jQgtmFWarrx8lNVPCqecpr+ymWA9yCR1DOEawZohG2WTx+hubcIt3FFie/tYOl4yewtTZ9o0NsfNo1VDevI8iVsd02rusjtcVRLtbLUTch+XKJxX8+zOw/PYyLpFAo4OQcLJqwGaGqOdIwpVlvIFNDHEXEnS7RchvPCAgUMkpJPMmJnQc5ftcjTO84xPy+GQpCYrRCatW7XXz/e/9gmnnKmJo+zeTEOO/8gz/ijb/1G0DvcfbVv/y/UUrx3j97f7ZKK5PJZDKP2d4DB9m+dQtfv+ubbFi7ltWTEwBsXL+Ot73+t/itN7+DMzOzF3jKTCaTyVxMwm4Xz/N47/s/yGv/zy8BvT+quu23f4OTU9N86KMfu8ATZjKZTOZicv+DO7nh2qv5+Cc/za3PvoX+/t5qvauuuJzX/Mov8erX/Q4rK7ULO2Qmk8l8P5Lywrw9QYQQ1wghXi+E+JQQ4rQQwgohuo/hfD8rhLhfCNESQiwLIb4ohLj5CRvsIpGFXx4na0EB01GTqXCFv/qH21mJNZM24sGpMwROr32hYxPKnuB3dvwpXl+O9MQSt73rk+g1l7DrTz/J8v45FvY8zNff/XH02AT51WvQBqxJSdMUrVxk2sWikdIjpddWYgUI5SGsYimo4glQ0rAqEORFl7BriHSK7whGlUE50Bq5BCdX4UtTCVONmGqhwFjBkGCIACEUnThBOIpY5pkPXWbaii+d1ChhOVJvc7KluWndEB87HNPSLnefWkC3Lb/0nE38/DO38FPbJsgnTfz8AK1IMTE0hK14rO+TeIFPK+6SDwrkkzZ3r34RQafD6KqtpCNr8TFAL+TTnpujuecIQ1dsZPaLX2LjM59O3rp0Oh2klBgBQvXe/2tSnl1pJAAle9eVFCil8Dzv3zaRnHUu8GIt0umt4VFK4TgORpytJ1SgcorKWB821fj5AOkIAsdneXaJsBWCSRlfN4m7dgwKLqnbO69RGq01ylMUqwUKfXmcnEK7gOg1zwhj6cYhbt7DL/oIaQnDsLeayXUIo4Som1Cbq+EoD+sJRq7aRBJpjj2wn8Z9h1g6vYhyHTwNm55zDZtvuo44jhHSMnrpxt7lUwphLE5qkL6if2QAPyiSyxUQUjJz/x5GrrkUN8ihOoKB1aPnqrp810OFlm6ji8GQJhGddhepIDUQNkIcpRC+QqeWXF8e4QuCUoByJUop8pUCw6tHSFuCaKbF6NgAI6uHcIo+TpggE4EMHBwNIpY4xRKHP/lNtv74cwnKeayQzB2ZpjO3hDAaHUhMnFDaOInju1hlwVX/0gjkSlROEUvNxOa1HL33YSqXrqK8ZhS/4CNS0B5ULllNvr/C4EAVmUiSuiYf5BAuCOlQmRzFVwqpHEy9i79qAC0grNdpxV1cT7H5xquRnk84s0yxUmZw2xo0lvLaUfq29va+OpFGC4tebtKYXsAzirkd+wnnG8QLLawDzalTmDhCBD6tfccQ7Sbh8gLRqROkUx1acysIY5nZfZylpRrlvipaa3KFAkHRozG/wsDqMdJmh4qfx/Mc4naHNInJrR1FhhpVyKMbHfpXjRCUPNJuhBEJudUjmDygDY6n6EbR9+LhM/MU9pGP/h0/9uIfpvzv/hL/f/zEj3Hl5dt509veea5VK5PJZDKZ/8y9O3ay7ZJNfOoLX+IVP/2T/+a04aFB3vuOt/DOP3of+w4cujADZjKZTOaiorVGCMEfv/+D/PIrfw7P8/7N6a/6+Z+jUi7znj/5syy0n8lkMpnH5IGdDzE5Ps7OXbt54fOe+29OW7tmNe9+8+/y+re8jVNT0xdowkwmk/k+dfGvPfpd4N3AS4Dxx3aRxR8BHwG2A18D7geeC9wlhHjJEznck53IfqB7fF7rrLLKQKpcfEcRxgmeA6urw5yo1RmQEf1+icPdFqmveMmV4zzzz9/Jp37mlTz7Jc/nwH17uPx/vYgvv/IvGR0pESvDzZ/+M5RxETZGCrDWoFOLch3iOMHzXKwF63poJ0C4OZJcP3OpgzEpkw5gIiLloqVLTljmYoESllqcMFzoo97tMtdsccVQkdMNzTqvSS3ow5USaSyJESw3I9J8hXd++gFeuH2YZpISlAYRSZ0+KfnWsXlWDQzycK3NzWMVXnLFIPMrMbkApEmIEsunj1p2HjnKszYPEng5jEmJNBRFCAaOriS85foq4ec/iPcTryR2q3jzR2iOXkb8yffSPHKAwQ2TLN67DyklIrYkvkLE8bmgCo++fmrsuR2ajzZ9CCUxxiAsiLOrjqzTW4Mj/9VdXkqJ8BxsnPbWGxmDSXsfy2rOfVxjDL7vo20KiSC2ERLVa4exFkEv7GSFYXDtKGmjS22xjqc8wjDEsYrAV7RshCscUJa+7WvpHx2mvvcUjekF2o5AtlNUXuB4LjoxmFaKcAVGA7o3S6FSoNPp0BIhJfJYgOTsZZQCx4VVN2ylNnOalWM1/ErA8JpJTu89jvAkppUi8z660+GqW29g/wOP0J1p4hRyKKWQQiOUpN5q40uHlk3w6a0/UgiUUMRxfLbVRSGRxGmC73tEaYJCooTEClAOWCMwAnScIKWkOjZIs1YniWOkUniOT2RihNT0Dw3SCNu4eZe41qG0ZoS02WXtpZfQSUI6aZfarpNUhwdJki4q8KjZGNXW5B2XheNzONIlaoW9EJOrKAwUMb4gXmnCUIm+SonqxtUc++KDaK0xYYL0HTxHEruWtBbjGEilRQiJdBUyB0W/xMpKndLmYfL9JXLFApWBfhZ2H6J5eonBVWNULl9D7dg0bqyI8oK000UnKUk3QhYCaCe4rkt9YRlfKdqtLhgLXUtqDcFwnsrkEIObV5FEMUsPHyMJXNqHZyEFXIVJNY7jkHRjiv15mu2Qyroh7FwD4yl0I2bDMy9DC9BzDY4cOYqvfNIoZXLDJMf2HsfzHcbWjBElEa0wJA0jEp2i6ylKKHJVj2a9Q5DLcc3n/ilbVHi+tJYv2ifkxcUl3vp7v0+lXOYdt73xOx73yN59/OWHPsLvv/0t5HJZBeRFIU0u9ASZp5q+kex55XxaPnPRPre8/q3vwlrLr//SLzA2OvJtj0nTlDe98/d54XOfzTNvvvE8T5jJZJ4U+sez55XzqVO3RJ0LPcXjsnf/QT78dx9nZGiI1/7qq77jcd+6934+9+Wv8o43vg7Xdc/jhBehbOVC5qkqX8meW86n5tJF+zPL6257K+12h3e9+U2Uy6Vve0wYhrzutrfxyp99OVdctv08T3iRi8MLPUEm8937dmuPSgPZ88p5IoTo+p7rh4cevCCfP7f5GqI4iay1/62dd0KI1wF54IGzb7PAd/y4QohnA7cDS8BN1trDZ///JuBOIATWWWtX/jtzXSyy5pfHKdSClhUI6SB0giOgkMJDi3OUXKhbydF6g5ySDEeafXumee32l7Fx03bUUIX7vj4LxUG8y8ocPt2ggIe+51uosw+BRp9tIgl8jBPgFIvYVPfCGn4OKQS6MNhbkSQELg6ntWDelkilTzeBjlXklGKlk7LYUXxyzzyn6i3+5u4jLMdwMjYkQZFK2qXVjklSzZ75BqcahsXFWV64bYSJsuH3P3AnH77jEF/dOUUqLTvOtDjVCamqLteNlPjq3nlm211uP1Ln4fmED++KSdorNGPJzqkmnopZ6KQUVcz6kX5UYYRfvG6SyIQc/sH/w/t2LPL2z+3jG3oUcfw+1PwcResQLzfIVUq9BpaCw/AP3ojBYvhXwRcAKXqrdYRAKIlQEscKrNM7WQjRa4HRBkfIcwGZR9k47Z1XiF5zzNnWEINGqd5+JYUiDmNsDDLn4FgXUovVGnu2OQZACYf2QoP2cgehDWEYEvS5uBWXvstWsf7Waxnctgq/VKB78Ayz80t0GjVM1WfrT9xCsKZCEqWYJEV3/uVCqtB3QeEAACAASURBVKDXcuP5DrHUrLn8EipeiSQ1uMrDiLNBHtG7T4blAPwcbsnDd1xOPXyUdT9xEzK0rL5mE15JsO7azTxy+8N0FjsYKUlIabfbpFoSNXohoVrUJdAKXyikseizISEpJY7nEusUKyxB4JPaswEhTG+1UpyQaMvYpkksuvdXVQ4szy2RdBKMFtiuoRt1QBukcWiv1JHa0ul0wMDCI8eItGZufoG5+/bR3jNDq9Zh9vAplhdrLOydIZ1tUDuywPzBWWyoCcMQ6ahzzUC5Uo7WTA0pPJz5DmGtg9IpIjWYKMVoDdpQHusjWYohAG+kTHG0hJNzqAyWSSNJEndxtWFgfIDByRGKq0awSuBNDLL5h55G7EMcpWjfY35pgXSuQTRXp3ZojtrBReZ3TFM7OM/ywTm6pzuszDSgZVDGOXc/jZc6rOw6zf5PfIvDn3mA2tQS9X1nevfNvKKvWsTzeyuOlOcQhiF9xRxOu8voTVuQOR8daU7vPsKx2x9mauoMsiVImjFElpMHTpHzfEhhcXGR5cUautGl24mgBdBrlcJzUFaRhtmL3pnH5t4HdvDAgw/xO699zX963GWXbuO3f/3XePVv/w6Li0vnabpMJpPJXIy+8c/3cNXl279j8AXAcRzefdsbuO/Bh/jE575wHqfLZDKZzMXmngd2sGf/QX79Vb/4nx73tBuv5xUv+yle/YbbaLXa52m6TCaTyVxsjDF86nNf4Mde/EPfMfgCkMvleO/vvYN/+PTn+Nod3ziPE2Yymcz3sYu8+cVa+x5r7ZuttV+w1s49hrP85tn373g0+HL249wD/D9ABfj5J2zAJ7ms+eVx+i1nvVWOJdEa3wjqQuIaQ2I1AkWKxHcVkzmFjQ0dI3jBj2/lhv/5Ej708t9FqTInO0u86o0vRacOj3zpbp75e69BTm7FGoVtL6I8H5XvgyTF1OeQy0vEG69GliqEQRUtJJ1IEyUaY1IKgaIZWgIXJILEgrAWMCw0NX+9d5n9Bw5z10f+DlcYHrz9r/GVZSKImY+gG2qaiWL/mQVspcq+o1Pcc3CFZ169mTAM+fzX93DoG1/jh3/2R1g3PsT6gYCZmRlWTIGhgTJLzSZ9pSIP7pjmN152Da0UTs4v4fkSEUaMDVeYCALKeUEpl+PLJ5bZdXgabRQrLc1ERfG87SPcPNGP99UP0haW/r4KWBfCBq2TM8ztPogoBqTNDiI1SAtaCVJhcUSv7UUZWHPVVmqtBssHTp27zR5db/RomwuAFAJxNuzy6CqOb9f8kqYpCoURBpOmCNs7j3D/Y35MWItEUJjop1NvEbgeYdhBVfPkhyqsu+IK2jqhufsQ+WffhGl2KZR8dr3/Y6zdfgnH/nkfRmmkVuT6fIQQhEshxthegKeiULHTq+z1JALAStAG4SiE1OQ3jxFPLRLXE4QrkI4g6iYEQYBXctGNCJNqOu1euMFa2wsFSYFNNY7rEqcJIrEUqiVa9UYv4HM2YORIhZBgpMDGGun01hr5xYBCJaBe6xCutJCuc24NlUgtKqdwhUun2cZai+t5pEYjBBSrFfxyr9HE5F2a8zWC1EUFDnGry+CaIRaXl/Ckh3R6gafmUh2JIl8o0GmFxHGMKxXJ2ftBqizDEwN0ah3SxECqSbVh7VXrmTpyiqSTYqME6blQcnDaKd1OxIYfvIqZew9grUZJn247ZNUNm2jPLNF/9XoWdh1DW4PjeyjPpbG4iJYwsmYVnbka7dk6SStGKyjm8rS7ISK1uJ6DdSCJNcoIcBW+7xGHXby8RxRFODjnAkZWClxPoYWhMlqlttSgPFxicHKc6Z2HKYxUaM4t9+6raYyyZ+/n0iNupxiTnrttrTVnV3mBH7gksaY0WKK9WEcrF6IYk/aCS07OI+nG+AWP6794R5ZKPl8u4uaXd/7B/80PPOMZ3Hzj9Y/p+Fqtzutueyuve82vsX7d2u/pbJn/pqz5JfNEy5pfzq+LtPml1Wrzylf/Jh/7q/f/h+D6d/KRv/t7Wu0Ov/ILr/jeDpfJZJ5csuaX8+sibn75zTe9lV/82Z9my+ZNj+n4mdk53vx7f8jbf+e3GRke+h5Pd5HKml8yT1VZ88v5dZE2vxw9dpw//osP8Kd/+HuP6XhrLe97/18yONDPy3/qpd/j6Z4isuaXzMUoa365oM41vxx+6IJ8/tymq56Q5pd/Twhh+Q7NL0KIAKgBPrDKWjv9705/BnAX8A1r7S1P5FxPVln45XF6g7POGmXZUAhY7HRZBkQqSSx0jcYBNhdzCGm48cqAw6ccOotLvPSbH6Dxtx/jjg/czZU3rOLyt7yK6JFH2PfxO1lyQp791x/AGA/HRCTC4DY6LN5/B56bEmy+AX31s/Dm51iqrqEdpYSJRhuDowSryopaKJCOwncEcZSSSodmGGKlIGclP//X93L/3/8doesy9ZU/od7tsK4/T8cIpufbJMJy98EZPC/gywdnuXbtAIEr+eaJNlMPTqOjGu9708t5/+33cf3l6/ihcck/HVnh6FKDkeIAHZnyrjd9gFf/2o/QFIPctFpxuBYydWqWJd1P3olZMxTQtRXGBgNEu8lCGDHYX2bEtyRCs3V8hO19JUa7x0h1ilg+TXhkH8sPPkK4VEMmmsSVOKk4F0AYeN4NzH3mLrTWuEJifKe3JihOz4VbhBAopUjiGM4GYR5te3k0+AJgtT23C/rRrw+rzwZghCBNDI8+UwV5n8SmWM2/7ITW4LiS6voR5g/MUez36aYJbilg9OpLKW3aRNRNae64j/zVl1EJ2+z62j1EJ+tYI3rtNAVFID0SYqJmiiMk0ld4OY/mSgNlVW+tkyfPtdNYackHHu5wiU4S4dRjlpfqbNyykTOHjuG4Pk4lR9pKsFYjo5hmpxeOEkJghUXYs9cL4Ps+rWYHYRRWahy3dz15JR8dGVC9WR3fQ2uNVCCkpFwt027WcaolmseWyFVydFtdtO6toTJYpOVcEMnzfZTrEKUJQcGhOtJPiEYNFukcmCeqh+duC+FIHE+BtRCAiCU2NshAgBFIpbCxJey0sUYiEXhjPkkrRmgwscWmGrcQsPqmzRz/xj7QhlRrrIDCYI5oPiQ/nCdNUyau2caJO/dh0JTyAdZ1EQrCToekmSKsRSvbC7BojYgtQlqklVhpKA/2k4qENE0RRiClg05SvJyitdxGCNkLAeVdlCOIuwmkEBTyWGFIkgRrDK7nUd4wSHe+wcjTt6GXGsw8cBzjGvKlIounl3Fii/IEMudiYk2aprjCxbqG/tFBZo/P9e5HUhLHMUo5eAUPrS0i0Wx95Q8w/ZmdzC0s48SafF+JodWDjL/vb7JvzM6Xizj88mhg67sRRRGvu+2t/Mz/+EmuuerK79Fkmf+2LPySeaJl4Zfz6yINv8Dje275ytfv5J/v38Gbf/s3vuvzZjKZi1QWfjm/LuLwy+N5Xmk0mrzure/kNa/6RTZv3PA9muwiloVfMk9VWfjl/LpIwy+PvhbwWMP6j/rYJz7FzOwcv/4rv/Rdn/f7ThZ+yVyMsvDLBXUu/HLk4Qvy+XMbr7wQ4ZcrgYeABWvt8Lc5vUBv98OKtbb/iZzrySr7jeDj5DqWUd/hB158JRPDimf1lxnIBcQGHCkpKUlFGrpJjFly+enb/4qR8hBn3vUXjN+0ncRXbHzjK+hMbuV0PMNlf/seSnKUTtwFkaKVQEqISnkGb3k+uQ1Xk/aVyc0cIRVtcq6DsilCWALfpeD7dLQl8HyE1r0wAgZhNYHn0o593nTHcWxa4ZIXv5TfeN0vsLCyQl/ep50YDAbHldx5apkDdckf/O1DDBbKTNc7fPaBM2woKf5/9t47XK6rsNd+V9l7T585TTpN3bKKu4UbhmDAQDAthF4CSQjpNwbuF0gCgdDTC+R+aUBuSOiQhBhCMyVUY7BxVZdVj3T6nDlTdl1r3T9Glm2unZvIRkLyfp9HzxnNnpm99rS1Z887v99V107ij42w3OowWHZ87OPf4Ya7prltpsfYygFuPzLLcjvm4qc8npvujBGB4APfmub7N+3gU+/9Z774gffSnItY6vkMN3xW1VLGV5T5tcefw68+Zg0vueJcLls9wHInpeMS6DRJF4+g2scQqzew+hk/RW3tKlSjwqrLLgAsqRbUByos3fBthHU4AVlZs/EZj8MlGdYBzpGmKXEcE9QrDK+dpLJyCLgvDeYBdUfHD4gIIU70O584QOIknuchPInSmihJwIp+4oxSaF8htEAEkpmpWaQytNsxom3IjrU49tXvEd56F+7gLga8GuLmO2juPUYt7Ncu+VriAonnS+IooxfGIB3Cl/hVH68YoFw/9UXKftJNGmd9GUQKXEFTr9dxx7qYdkahUODInimk8yCxhHM9MpnhUgmBplgroYs+qtiXaXAOaftSUJjEaK1B9MUNAM/zKFdL2MzgnCNNEqLlLmk3Iu0kRK2Q+UMLREsp4d4FnLXE7bSfNuL5xwUkSVAoIGVf3PHKHoVyEU9KbGhZPDrL8rEllu86gklSjDFYC870U3hEQaBLPqsu2IAqaKx1hK2YaDkh7sRoT7DqovUoT6CHNaWgSLlawjmHrz2stSRhzMGb9iBSc1x8kmg0xAnOCZKjHdLFmKlv3o1LE2yUsdjp0llcoj2/TNbLMInBKgtWECWGgufjhEUogdUQ1Cs4YfsfhFJBlhjCsNtPzqkWkIFCa9WvO4pSvKJPUCiglCLJYsqNEqWxEroQII1gaX4B042IPEV3sQ1FjbawcLRJuRCQSodFYbr99CmZSdI0ZeScSRYPLRAEAVprkihBONG/b6OMxlCNDddexDf+7l+ZP7aIH2aook+axSwtPirq/3IeAU7mC8YgCPjTd7+Dz3z+i3z+S1/+EYwqJycnJ+dM5mTmlqc96Rqe8/Sn8bo3/R5xHD/yg8rJycnJOWM5mXmlVqvynt9/O3/7D//ETd+75UcwqpycnJycMxUhxEnJKy9+/k9z8YXn86a3v+sBP8jNycnJyXkEOcNrj/6brD7+98iDLXTOdeknwwwIIR66p+8sIk9+OUn+ZfQ8t/rCUab3zaKzEomJ6KWGZpzgezHnbTuHYzsO0mtr1l+ymqmjizzvX/8COiH3fPzj9O6YJdnos/LizdR1De8JjyfIemS370RfsI3k6F7cmnNQM0dIsBRWrAFnSXtL+OWVZCvXE6syzW6IcYLxQsZC7FGRXTLPR5uMHiV8YViILM1OxJ2zy3x+X0pz+gi25HPTl27h63/5i9SVQwqI04Tr/+V2wlnLa162jQ9+4y42Vwe5a26ByaEGB6ZbeLUSawtFbt6+m1Xj42xaV8Lis64R0I5D/uPAMvvummFi3RCrRirs2X2U17zsSSz32vTaPUZKRdI0RXopT5wY4LbpZQ4sdNm3HOMpQYBh9YphXn6uwusskpYGQNRg9zcQ5Qp63610tk/TnDlM0k1YdfFmslKZI9/4LkIIUiyetazctpVj37mLodXjHN13AInEWcHgxDC9XoewG+EJiUOgpMABxpOo1B4XhyQOS+ocIjsuMEgwsT0hncB9aTLOOQZWryBe6pAlhkq9QP2CDey78RaMMSjbT00JnCRY10CP1hm9+snoaAF/ocPN//TFE/JMlmWYwOGliizp7wCrkmJkbJTp/UcwvQxkXyK5F+lLRrauwUstriKZ3T6FizKsAVnySKP+wX+tFLIkySKD1RJPSBqNGtOH55CJIbUWX3uIgobYkMbHa3MUKKWI4xStJc5atNcXSbTWJElyYiye5/W3WfblC+V7+L5HGIaUqhXSNMXzFVJKuq0e5XoJFWh67R6kjjROwZNIB0JIsA5rDEJKrDFIXzAwPoTFsuaSLdz5xZsRmQDtKOgiYa9LoVKmMFYmnmtDbAkaZZamm7jjj+W973oCkEohlEAXNHE7xfMlUTdBCUFqTD9ZRwq0lggl++JPmmGEROv+Y+CVAqRWxJ0eleEqTvSfJ4VSkTQ0pGmKTTMylxF4HkG5QCcOMYsJVoBCgLAU6mVMnKB9j2CkjCwFJM0u4VKPcrVIZXKYarWM8RVyZYP5z9/OzOE5lFIYk+GXfAB86dPrhZjU4nyL7/sEpQCbQpakRO0eUvSTcmzWTzpymUN6EqlFX4JSitpkna0f/LfcSj5VnMHJLw+X///v3k+5VOKVL3vJ6R5Kzg+TJ7/kPNLkyS+nljM4+eXhsP/gIX7/L/6S33/z7zDQaJzu4eTk5PwoyZNfTi1ncPLLw8E5x7v/7L2cv2UTz3760073cH58yJNfcs5W8uSXU8sZmvzycLnz7u387d9/kD98+1soFh8kKSInT37JOTPJk19OKyeSX/bdcVrWX9xw4elIfnkp8CHgW865xz3E9Y8AE8C4c+7YIzm2H0fy5JeT5FlvfREis0y++AranRYBmtUXjXD5Mzbw2J+8iKCqOOeKDZy7bRxWejzu+qfywaf+Ol//4icopin2HMGWX3oJEyju+Jcb+NaLXkM3q6AuuQpkhr9iFNWc5vDHPoU5sg+swLWaBBmQdVEze7Bxl8FygdESWOEzbKbJdJVCtIwOW3hYUidoFAKq5RImtWwYFnR6ioWji2worUKZlChzzCVwTzsDK4il5W8+eyeXn7Oe+nCFTaMjXLW6yE9fvYHZHfuY7bRZuXo1M3FIZiWXjhbYMFZHKUXYarFx4xCH9k6z3ElJ0LTmFxl0Cb1wGWxK10oKVrDQbrN1hSIWsHl0BM/zWEgMg0XN9xd9utUNdLwRur6PO+/KEykkR8US6rfezYZffCXuWa/EzM3jDweIWoDQinaSML1nP825Dvu+u5PubI/lmQ42dswdmiFa6iGMJTMWk2bEUYIxhtpADeBEBZCx/TqY8WsuQCqBPZ6IIoRAKIlf8hCiL76goXH+Wqxw+I0iTZlR27ge5xza9lNkfN/HeJJarUZ711Fa3/oaOz/4WY7uP4AnLH7ZQ/kKVxR40jtRx+ScQyNoHpomSwza99Bak2V9McZJgROWY/sPMvLT11AvNcisQxYDKAikA5DH7z9BwS+RBYLJLesoVcrMTc3hlz0S6RjbtIrSQBkTJZQHKyAdUjmEEsRxfEJ8KVUrZMcrebIswwv6CTmFUgFV8BBKILTEWAvWEfUihFY4mYFxpFlG6jKkFNQG65g4Y2jFCEI6tK/722UcQdlHBAJ8hVAS5Wuk03SaXaK5kEPf3YW2kmKtiDWQuASROZIwprlnDpNaVCOgUAkQfr9i6ETdlRAorTFZhkky0jClUPOJwxghBFb005AKZZ9Cyae0ogS6f1/Igo/UIHVfjLFpRppElFZUsVlGEhmEgdbMEomNSKMYHWj8osYvBeiBIhOb1+KXNC4zOClAyf7tDxZxBYlX7VcvecrD9xTddpfOkXnSgo8oBczftRfpexSqBYzI8DyPJE2RWtBZ7uCcxS9o6o0qK8+dOF751R+Lkv3kImMMCIsSAq+oEKp/UM/JfiJSln/pnXOK+NVXv4pyucwf/tl7yKXcnJycnJyHy7o1q3nnG3+LN7z1XRyemjrdw8nJycnJOcMRQvA7r/sNZmbn+bt/+NDpHk5OTk5OzlnABedt5fWv+R9c/4bfYX5h4XQPJycnJ+cs4jSlvgjRXzf4Qoi7H+zfj26DAfjPvlh5VAlYefLLSfKFSy906WHD0779V+x81ZvZ8tzHsnz5Bdz8vN+lmRYpO8elv3kpR750kDW/fi1jT3gVrdu/QdUBiwdY+MZBjty9m313z+PXEy5/+eNRV1yKvOsgerCIP1TFO+cxyFoVaTXMHGZp17eojG0lCwSFygjJ2FpceQwnM3QYI+d3YRuTxH4V41ew1tJzGrIYpQUzyz1+9SN78bKYNasqJET8f088n9unl9g4WGEpFNwThWy/6xj752Iu3TjC0UTyki0r2ToeUPFh06v+nsGRUQ599VOMXPVc3v4rVzFaCjjcajPViZFRk1tnodvJSBZDMuHRWQgZX1vk2VetZE11kKnlkIvGyhxMfbYfW6BsYOPKMp3ZZZaKGY9bvYrRsqIiY2Lnk0QJgejSmNuLDYrE9Umc8ilN3cXRgc2M77mRbNfdHJ6aZfXEIAf2H0OEhoG1I4hAEe5fwPNLzO4/SuvgPCbKqK4fQktFmkWgFLXJYUwnJI0zpOtXH7nM4hcD0jQjjROc6cfkOufwfIWTAhOmCKWoTw6jPMncPUcpVyvoapHO9ALa1/TaCVpIrLD4QxU2POkx7Pv8d1j7vCdTqo0RTx9kzye+hnUZq87bQHN2gdb0HIGu0Gt3kJ6mWq+wOLOAUv16IuV7ZHGKDjyQDl1UFBsV1py/mTu+8m201VgDSgvSLCMTKdVqlSyzZDi0BYchbMdopygUiiRJjPQ0SZbilz1s7Mh6EcKX/QQZBzbrJ73cm36TZdmJ5BuXZshAn3iDz5IUz/PQvkccR3jHU0nKtTLdsIfpGYQPxWKRZDkmiRIKpQJhGKJ8j2KjTLVWoNPq4UuP+blFpAIScMJRqdfotbso32N4zSjTOw/iFzWVoTrzxxbQQmGMwS8GrNwwytGDU9jlfpKNUn2ZJksTXCb6kklBsXLLJPM7j2Eyh3UZWmjUgEd9oEZkIpKlFJNa/IJHHPXQhQCRyf5lh4vUSyUWF9qsWL+C3rElFmfmGTtnDa0j8wSNgHCpR1AtMXLROSzvO0LrwBJC9NevC5qhtcMMrB/HFIoc/eotREDSi6nXywQTQ8gkoTwySJqmNMZWsOtT3yQVAq8sSZcNnueRZSnWWqx1FGo+lbERZFkSH10iasboikfcSZAOkijpp8ZkGQCe72PiBFnwcMaR+Y6rP/cfj6pJ8bTyKE5+uZdvfOs7fObzX+Cdb3lTX9jLOf3kElzOI02e/HJqeZQmv9xLGIa8/vfeyatf8VIuPG/r6R5OTk7Oj4I8+eXU8ihNfrk///a5L3DH3Tt44/+8/qTqLs4q8uSXnLOVPPnl1PIoTX65l6WlFm94y1t5w2t+g/Xr1p7u4fx4kSe/5JyJ5Mkvp5V+8osfhPtPU/LLuguJk8QBOx5suXPuvJO53f9H8suzgU8DP3DOXfoQ128CDaDmnGufzBjOJPJvlk6S5bmUx3/oejxhadZjZnYfY8BE3DDTY025x+u//Zd8+dV/yEdvnuc5O97HT/yxz7++8X3sPeooS4MSksNxj9f9xtPxB30aGzdx9599gm0veDJf/vxXueaZP0G07za8bU/BTO1GTKyjMfBTRPESZmaaaP8ews1XUzAxxdl9hJURsskrKC7uR2iLUQEm7RJFHZz0WO7EDAWCu793K4+5cguvvGoTGyqa0XJESY2x99g8G8crVGYM4cZJLjo35vv7mzz3ktUYX1H2JeX2fkZWjLPzWzeAAJO0WehkbB70SVKfLMu46JwL6dy2i8/sWuTIf3yei57+LJY7M/zkliuZmkt4wvoCSz3DjvkOBxct02mT234Q87TL6jz/vDUUippGEY42u1Ct4tIIowXLehx/LODGgxk/uCfiFy8eZG/jYqTVVC+5lq8NP4trJkrI1nYmsi5e1ibaczfR9sOoFRU6B5o01q4kcjFrH7MFlQl2f387QU9SaGjGnnsth9/3rwjrsMeFMOdJ4jDG2n6FjRMO4fqJGEmaohHUxwdozbeQ1tE8NItwkrDbQ3V6DG8Yp9ftErUjrOgnathuyP6v/4BeOySLl9n/zTtQRqGFwRuqMXtoil67i1AeURQBEEURNjUIrZCiH9bkMoPwFUIadMmnXC2DkBy5ew+e8jE4hLM4119vpVwljTOK9SrVoTLNwy1arSbSeliX0em00dpDyAwlIQstkxvXcHDHbqrlGkkaHRdEgn5aiKMvbPgaEGRpiix6pEmGr/t1SBxPWUnCCKVlvwYpy8ji7HjXtkUgaS0s4Qkfv+CTWoP1BQWpyNo9okDihKXT6VBtlDDCIhJFmqYIBV7Bxy8qDh/cTxD4qFqBTrNLoehjQoOUkixOmDk0w6pVqzg2NU3ajkmTFC086sMNFqcXkVIiDRzbcwRfehgb9R9z1f+FV7fToTI6RMEmLC22iLOU1Redy/SewwgtKJYqeMWAwspBxOEW0UKXbjOkVKnR7rUJqkViMkpDDdpxDxOFhBqGVo0wc2iGQjnArwX00pjhgk97bhFVK+EWlhicHKI70ybadYgVF24gDiNsknLHDd8gdZbAwdCKcaaTGeJehJMS4aBQ6FcxRc0l0palPjRE1m7SaXYJgoBer4dyAmMM9rgQlMT91Btfa5xyJMmj+6Bmzqnn8VdfxdDQANe//rf5w7f/HuVy+XQPKUd7p3sEOTk5OSdNsVjkz9/1Vt787j9ifmGRJ/3Eg6a/5uTk5OTk/Jd59tOfxorhYX7zzW/jXb/72/i+f7qHlJOTk5NzBtNo1HnPH76bN7z5bfzMi1/AtksuPt1DysnJyTnzEae1+CY5WcnlJDl0/O/kgy0UQpTpiy9LjwbxBXL55aS5+olXcdOr/prrPvg/8CPJez5wI6899BXKr38/r/mL63nDRa+jhUNIxeYnXc7Hfu0DHA4tqTHMOcuQpxjzPPb8xw+4+l2v5siNX6NyxWpu/eDn2DA6SbveILAOFcd4w6PYzAEZyYH9BFEbv14hsSmzsWDF8GYy61AuwhaK+J4iS7qIwGdACmZ6KZmTdGSZCx9/OWurKQvtRUaCGq1lh3Rdur7Pe760iwPdmFc/dhNBUGZVQbGmolHKIF3C53trmDv2GR73U79ALCO2bVrJSM0j0wG9NGS86rFvfgE/qLL9c3/NOZc9hZs//TFiW+AP7vwilz39+ayoFYlMSs8o6kXJzv0Rw3VFe6nF1+6Z4ZpzV/L1o0uM1UtYa6kVJB6WrDfN3rjIP966B2MM74mWuGbdCJvGKkRpia4LKWdtuq1DeGMXY3bcjD+5lcI5j0FmMbv/6m9olHzGnvRYKusn8FZuZMu116Bvgru37wAAIABJREFUuwVT8gl6lqgXob2+uKF9jTAOAyfSVqqDdZbmlvCUpjo2SHdhmerKFXQW2iwcnT3xi5+gUiSRjm6zTW+hA1JiMXjaJ+mlJL0m0kDz+3sJBETNNp0kZSBLUUKROYvoHq/n0RLp5PGElX56jDEGoTWFwGNk8zhLs0263R4Xvegn2fHlb1Ku9u+7sN3DpP2klixJ8HRAvNRl5vAUg40GKoWg5JFGDiwIB1nsqNSLdOa7HN25Hy0gUwmTm9ax79Zd1AZLdFudviwiPLAGtEe9VqM5t4TWmjRN0Ur1a3WcRUmJdWBii3WOqB0hcCRYSgWf4fII3aUOQgjK1QDRheJQke5MFxOmICGxKeVChVKlyPL0Mql0hN2INErIQsXgygGWjiwCfdlHITDOAP36JWUlM4szuMzgeRqbGVxsaM40WbVpNcf2He1LTrEkdX2pR/sKoRVaawYnRmh1llCmL0bVh+p0W0sERb8vOLUiRkojRHMtSqNlbGwxkUEYC4GgtGKAeL4fX7l+/QY6C0sMlqs0p44QeAqrDHpFlUqjhlnu4aeO8ugAlZE6XrXE2qsuwpQ8lo4eo71/GtnNKJZLFJUhylKW5lu4rkUX/H5dVpKSOYsMobSigC4EzN89RWYz/GIB4UuKrtiviMoSVKBwKWjPw1mLkI6wHaECdRreXXMe7WzdvJk3/ubreO1vvYl3vPl3WDEy8iNf571JVvf9M2SmfzpN73e+MQ95uZHhYS48/1Tu0+bk5OTk/FdQSvGON76Bv/ib9zEzN89LnvdTP/J1OucwJ+aM/lxxYj4xx897wDxi/q9l1lquuuwxlEoP8quxnJycnJzTypWXbWNocIDrf/vN/MFb3kitVv2Rr/Pezyxpmp34DHLf/GEe5DPKfeelx/+umhhn08ZzfuRjzcnJycn57xEEAX/67rfztt//I+bmF/jJpzz5R77OfuX9gx/juv8ccv855oFzUIYQgquvvCIXQXNycn78eHQlNO4CYmBECDHpnDvyQ8vvTYM5PXE4p4G89ugkmfmVl7s/++C3WQ4V72x/m7fWr2ZiDBrFBrftWSBUKb7pv7hS4SNJEE6iPcG4dgwXFUIoCtrjlV/9W3a+/o+prvGYeMplZKvOw/baqLFzodIgObyLoFbGekXs4d3oNIFaldgqepuuxUhHmGQMlktIa1DSkllNK06oFny6UYrVmrsPzfA3Nx/hvc+5kFbkUNqylFlu3rfIP311L7N79/MPb3shnjBgfDydgAwYLweUPccvffhW/u09f0MiFU9++c9z1SUjdC28YMswix2HkYYdczFHZ2eYDUt85oP/m+WZJoHMsNLDcwKnMwwemdMENiYxEiksz77+en7uqpVcNlJkZzvjO/uW+NLtO/mV667kyWshTeANXzzCrl0LXLqxzLrJYa5bN8jXpzv4WcxEo8iWoRIDOIKlncg4JioUkVGCn4SEh/ehs5ikUaM4sBpRKJDOHMZq3a8v6i0S7TvMPTd+h4oLQCsya7CYvjwSJ3RJqVBAqr7zITyFDhQuM5jUABLkcWHFQJaYfn3S8ddYZvuJP0L0hYJyJaDT67DhidtAe8zftANvRZX53dO4pH89KWVfdrHuRNUQgND92yg2AjZcdwW6ZZg5doSpnfsp1+sUqwUWDkzjCU0S9rdBakWv22Zo5TDhckSaptg4Q2pFlqQI1a90KpVKhGEIOKyA8TVjzLcX0apArVKgtdDCkFIuVVie61BrVOm1userdvopOUIrkl6I8Dy0VpgkQ/kaL9D9yxQlSmg6i8t4noexgOvX9uiiIigViMOU9nwb3/cplD2CYpEoikh6MSZzpFFMUCqSxSnlkRK9VoiJDKWgQJKmGAkYi1IKKQWuYKEHxjpEarAChJRIrbCZwZr+4+VVi4xvXMX8/mkKZY/2cpdKo4SUkuX5Lk5YqrUyVh5PtolShBVIIUjTlHq5TqvVAk9QqhfJsozG5tUsLy6ydssGjt15ABEZbE3RPrhAtV6hND7A4ObV9MKQcqmEafbQg2USByx1Ka4aI+2GTN1+J8neJSrjAywfW8B5Ahs7TJiSOkupVMKmGSYwVGoVus0OtZUDJNLR3DfH2OoVzOybQQlNUA4oDhTRKDrtHmmUID2F8iThcohJM7TWXPmVvPbolJHXHj2A5eVl3vi2d1KtVAAeNFL8wfZh/rPo8R++/L2XlVKitUZrhVb6+Onj/9caT3snTmut0ep+p49f7sDBw9x+11289AXP44rLHvNwNj0n5+ymMpjPK6eSR3nt0Q/z4U/+Czff+gPKpQfWNDzUZ+KHmlMeaj65P//3vKIeOJ88YC6593L3LbPO8aWvfZ3VExP8ws+8hGIxl2Bych6UvPbo1JLXHj2Amdk5fu8P/oTBgQbw0PMJPPzPM1LI+30m+eE5RT9g2UPNPTt272HvPQf4+Ze9mPO3bj7Jrb4fee1RztlKXnt0anmU1x79MP/rb9/P/oMHH1IoeSSOj92LVqp/PP5B5o8HOwbmefoBx82SJOGLX/kq523ZzCte8qJHXoLJa49yzkTy2qPTyonao4PbT8v6i2u2EifJg9YTPRz+s9qj48v/HXg68Frn3J//0LK/AH4DeL1z7o8eyXH9uJLLLyfJ9590jdv+vYN8vWN4wtgoBdvlKzOWAh1CJAowHJfLHDg0goxnrKmjvBJzyx1m4phiCoWS5RX//Fa+/UvvYdtrnkRntkl1cAh/20X4oxdA51aQG0lLAYQdvGKZzFrkwCizpkaKRghBJRBYmVISEucEGQJhBaHNsNax0DMsdkOKQYFKIFkwli8fDDm07wg/uDvk0ktKvP7xk7zu37bz65edw5wrsG+2w+Bggaesr/L0t3+NtZNVvvrJj/FTL385L7hkjG8tOV572TBpJjA64TuHW6xUcHfTceMdhxgsVjjvnDq+1Uw1e7zraZNUmvtZHtzC3Yshb/70Hl7+pFFMp8g39x/FE5J//8wtaCm48onn8tTNW7FikdGKT7lYYtfcLE/YNEFsLB+5dY6SneUXrnoso3aKrFykbQoMdmaJdt9KZf1FNAt1Ggt30+slZLtvpTS2CTVSp3f7TdjFJgGSGaUYPW8bVgnaB/dzzw03kB5yeIWERBQpOUU36zFSbeCfN0x4zyyZcUjrkAWNzRzO9St27n09CcClAqEFxmVkaUp9ZJD2/PKJ55Bzri+lAKkxEAhqa1bS2n4MlVqCkiLqOiINyjmkBFKHkeCkoxh4ZIHl3Jc+Ez9V7Prnz2HaGbVVDXoHlxBY0uPyDAqkUViRop0itglpZNFOI4TDCciSFKVUPznF0xhjWLluBc3FLgUsmRIYUlQmqa1o0FuIaC03KZZKpGGEkh5plCCEIHMWr+CjtQbjUErSi2M8z0MI8AJNoeiTeY60G1EoFom7ES6TGJtiBBTKEpFIur0Ez/OQniTrxKRphlfwSdIImYKwkoF1g7Sby1gkppvijEUAquhDCtaleLqAMWn/l7hZhlKq/yFAiBM1TdYABY/KWImk2cY5wfCqUeY7LWwrQldLBDHEnRbeQAXTNQQ1n87RFgZBsVImyWI8J8BTBINFouUuQxOj9DpdisUCXuBjlSNcaNPrxdTHGlD3KXglIhOjhKaxYhAzUEKEhqKnce2Y6V334FnN0f1HqBQr1NeN0I0jFvdNU2wUkV2LX/ORgcfiwTmklHiNAqokaR1rUq7VUImj1wlx3QwjwC8XSDsJuqCoj9dYOLSIVwgQ1oGSJGHMY7/y9XzH7FSRyy9nPFmW8eGPf5Jbbrs9l2Bych6KXH45teTyyxnPzt17ef+HPpJLMDk5D0Uuv5xacvnljCeOYz7woY+yZ9/+hy/B5PJLztlKLr+cWnL55Yzn1ttu5x8/+vFHXoLJ5ZecM5FcfjmtnJBfDu04Lesvrt5yuuSXa4EvAQvAVc65PcfPvwr4Kv1kmHXOucVHclw/ruTyy0ly55te4bq3TzMwWeW9f30Tb37Hz/LxP/gkO9oJln46x733rAUkDoHg/IrmaGxplDQHOxGrdMDzXrSFA9unmDvY4tpffipL9JD7mqz7rddhCxWyQwcRW7ai0wxEPxFECIFwkvnGZmpehlw+xpw/QqPowCokApnFGC3BaZwSJEYQWUEnybBYZtKA7fum8QsKtMc1I5o/+9oumnqAbSOCxW7I5PgwT11fYV26xE3pKHdNzfLvt0+xaaxCtVTl/OECPaVYFUgQhpFahZv3zbC7p+l0Qy5ZXWe8GtDwHEtRxCUTgwg0u+daCM/jk9/dyVUbJjncCbj94D6E9NkxNcuW0QrP3TrBl/YusRhbtLA8/+JR9i9EbK04JlZU+e1P7+D9z91MxTaRpkdaWYXXOojQVWzBI6xOUjlwCyjJ9Kc/wdCVl6LGt+KkI77584hQoq9+AnZhHlWoMvWRD7Lmhc8HqWH33Rw4eg+9Xccorxph+OKt9O6ZYvl7e9DDActTzb7goTTOgHVZvzLGObTvkUQxQgk85ZGGEVYKTGRRvjqRBnNfkotEYvEHyhS0xByvnlHOpzxeRhmPqZ17cakDAybLSKUkKHn4m1aw6eKL2P+l7zC8foKZ7fsJ6iWWj8yjUjBCktoUacWJ56MzEMcJCgH2vte/s/1aIqEkwvbFnMpIBVnQdJeXGVgzikLRnJoliVLSXkah7GEzh7EWkfWf7FmWoTyNlAJjDL4f9GMRbUapUkQpRWpTtO9h0gyTGKwFrQTCk6S9DJcYVm6axKUZ7eUl0q4lzWKIHUprCATSCAwOEgNCUButE6cRru2I4xhrDKKoaIwMAJbufJssdVhrUUIipSRN+4k30E9+8EoeQntU6j6F4QbHbjuI8KA6UqO3HDEwXKZ5dB6rA4aGBgjbPeI4JjUJ2vdJexk2NQyeP0r3QJPEJKhUsWLtSqZ3HsYrF0l6CUr3hRutNUma4qxFex7K06RewspLN1DKFEvTC1hfsOr8TUzdthuTprSPLFOfqJN1QsauOI/l1gKdXdNgFaKiKJcrhAtdmrOLlKoVTJJSqBaJejEmSbHWgbE4QHn9BKFCtUjY66HRoCHrZSAFSiku/+JX8h2zU0Uuv5w15BJMTs5/Qi6/nFpy+eWs4V4JZtX4OK9+xUtzCSYn515y+eXUkssvZw2PiASTyy85Zyu5/HJqyeWXs4b7SzCvfOmL8Tzv4d1gLr/knInk8stp5T75ZedpWX9x9eZHRH4RQjwD+N37nXUFfe3g5vud93bn3Gfvd50/B64HevRFGB94CiCBFzrnPvVwxnQmkcsvJ8kXnrXN7f7KIvt7CW2vSCXtkipNbDXnNhoca87To/+luhACKSUvvHiCpbl5diykFJ1k7njVzM8+70q+ecO3uPiKc7lzxyGe+rLHcecd29l6+WYGn/kcCBrEw3VqcYbRBayQSJtibYZrrGPOeqzMFmiXxil39yFdARF4GL+M7LbIvP5rLPLqeMohHKROcrBteMZbvsCqEfiTV15J6Pnsmumx3F5gOoKpo8s88THree76USrFhBv2dNhUDbh7ocljJ4cxynKsK/HShPkoo1IEqT0mfMmh5YjpTsb4QIHJks/ackao6vi2TTP12DG9jC1WeP+3jxC0p3niJevZPFxhzWCRo62QA/OLbBof4Aezlk99524uPXec33/j/2LVpU9gYnKYCzePMiiWGR8s8/TzNlAP91OURYxXwJYKZLFFFXzIIqbf8T8Y/9X/iZ+kWCWQUY9s720stxeoP+5ZHP7yZ1m79Xza+3dRnNxAHHYoDw6R6kHM3D6aMwuMbHsc2jiO7bmL9K7vMbhuNfu/fiuyGEAvxXWTE1GC1lqEEDhrcVIgA83Q6lEW902RhFn/CSQdnuedqAoqVcpkrZDBC1YzuGE16VKbVrvL+LOeyaGvf53ojh1kDmycMrByBXP3TGGcxTcQeQoVJ1gnkEYjhEUEYJFI7XAJSOFIE4dNM1Jr0Aic7afP3Jt6IqVECIEVgDFQ8PAMeINFaiqgJWJEBlmWYEP6lVCBRqNIE4PLDEmUUCwWSbIUz+uLFM45EAIlJb7vE5uMLEsYGB+CKCMJE5qLbXwkUil0SZEmjko5QCqPdnMJKTySJAbTvy2/4pO0Y5wE3/dJ4xRjHEFV4aL+Y2CPS2La9xgeH6TdaxMuxijVrzkSql9T5PtBP/VGS6qjDXoLS3jVAnHWT5wJF1oMT4wyOzVPoRQQlwSTW84l2jvNwtQCpYbPwPoxDu85iOgKvMSSuITyaJ3uXA+XGZRzICS6FJBGSb/KSghwx6uyhEBqhUkzROBoTAzTPdomTS1aC8oryyxOtaj4BcIkojFQww54NCaGKFaqzNx5D935HsVagV6zjbMCrxCQhDE2M5TqFcgMvU4PISXWGYQTfZHIB13wSNsJnueTRRlohzH9Cqsrb/xavmN2qsjll7OOLMv40Mc+wS233c7LXvj8XILJyYFcfjnV5PLLWcfO3Xt53z99mNUTE7kEk5MDufxyqsnll7OOKIr4wIc+enJ1SLn8knO2kssvp5ZcfjnruPW22/ngRz7O+VsfpgSTyy85ZyK5/HJaOSG/HN51WtZfXLXpkZJffhb4+//HxX7OOfe/H+R6vw5sAVLgJuAdzrlvPpzxnGnk8stJ8oGN485bbHD+Czfz7b/+DouVlYzS5eonruL9N2ynTRF5PAGm48HaNOHai1aCk9x6ICIxCZ3YsL5Ro6Rgx9w86wareAouef6FpAttVj3jcgavfj7YZZxRCJdidUDz8H4aq9fhJOjiAK3iBEW7hD26A3/4HML6GN7iPfjH9pCuvhzVPkRWbhDVJiguLyCJmPImuenQHIdbS1y3bhVjAz4fuO0Ys23NeYOw2O1yzTkjLNqAsaJksqz4QTPjzoPzfHHHFGTw1mddRJzF2NSye6lDpVSkUfQY9SULmWJtTXLzVIcsszxz0mIKQ0TCsqJ9mG9lK9kzF/PCcwdYDBPmEsF5dcm+EOLUMaQdR2JHc2mZWrXIzgXH+759N/R6rFm5kqdvrfKzm9fj0sPsiSqsY4F0aIJUFJG9ZSIpKHkVlEgo3PQx5h77MkpRE39xHlUrYpcO4+aX8VZtgk6bpGBRt36f6cNTSDoMbdpI67bthMpn4qnX4ZwkTpYp1FagrCGVPq55BH/hGFFhmPkb/p355hJeYkmFo6gDEj9j61WX4zaeA8U6d/3BnyKVj5BQ3jLByHlbmPr+7bDYQdm+KFVet5L6ujWEU1PEnQQhHPHRaVKpEe0EV/LRWhLZjGiqhfYC0ixGWUmS9WUFhO3LJkrhNLjInRBysjjFCkfB84nDGHevqHNvXdNxAUZKicUiipLR8TFmDkxRH6wS1Cs0Fxax3QxnBUmUoMseEoXv+/TaXbyixsQWmxlkoPELHgaDtIKwF1MdrNDthhQ9n9RlKBRZYkjTFGlAlz2yzGLCGOk0xmVIJfC0T5okoPoSTZZlx2UdR6VSYXm+CUJQGqgSLy7jlDouFpUIwwjhwAmHpL+NquCRdCM8X4NWSAeJyaivqJKmKYVqmc5Mk8pgjU6vS5Y4aqN1aiPDHL1tPwNrG/iJT7O5QLFaoN3qki0lOGv6aTJJhi6XCNshyH6VFErgMovyNSZKHyBMSa3wPc3w+ApimzB3zzTOCqQCoQRCKgQO7fkMnbMCV1JU63W6c4vYCOZ2HcMVHONbJpnZdZS0m554v1L1ABcZTJggHVgBpXKZXreLEILa8ADtxRaW46lSApxxSCW44sb/yHfMThW5/HLWcn8J5uUvegGXP2bb6R5STs7pI5dfTi25/HLWkkswOTnHyeWXU0suv5y1nJQEk8svOWcrufxyasnll7OWhy3B5PJLzplILr+cVk7IL0d2n5b1FyfP/ZHUHuX898jll5Nk7wte5nqyixLzxNOKL35vN5NBhW82434Vi3Qo268U0RgMRSxLXLViBWtXNhCkfH//Er411D2J30i54Ke3cfjbu8lagmf++a/B8CRUh4jqNVRqEckyMrNkd+9EXnwJQnuQdIhVnSDrILKE7opN+EEF4h7WjynOzTD9mQ8zVK+RPOXFyCRBDq0ilIIDLcVYWVNVgtl2SjOOGCspdocB392xi6vWj1EpFBBOIANJ2Ve85Ya7CPH4yQ1Ftq0dpyhjZqMUD41JMwYGqwz5UDERs1nA6u4s/9wJaMiANWXBrjDk2WMJn7ynx4UjE8hizD1zKWMqZXM54gArSYXHLVMtYgVXj5TYHlpuPyp57qYGc72IiRpsNosc+8DbqZUDvJe+CVkocng5JBU1fBK6rsaW0iIf2dPl2ZvLvPbTh3jP884nNCkD0uLd9C8k6y5FeRnhjlspjW/EiR7hrrsJUsHuj34B2wkZvu4y9n/3Nja94kXUBoswtIHlnT+gvOVSAuPIju7CG78I9t2CVSn7//4GokBD1q/iqa4coG0S1j3nORz53I0kh2dorB1j9Lqn0J0+wtSN32R003oWjhwj6fQIyiWEFZRXNOjuPEIvSdAbJtjytMez90OfIagVac0voQoSuxhTHV/B/MFjuMzB8dey0posvU+skL5COkkcJifqlhwGE1tcZh4gvyBEX35QEuFAemBwDF2yDl9K2jOLJHM9jMwglkgtcIklsQm+VyCLU5wEjEMphTEZSql+lY4xlEolnAFVkUS9ECU0WIvneQTFIlEnJOklxL2ofz0lAAHG9m/PWvxCQBxG/W1VCovD9z1Sa7BRCkrijEVadzz9pl8xdP+9i2KlTBiG+L5HkqR4BZ+gpEmyDC0lxXqZpJeQJBkmjSnUSqTWUC2USOKY9myX4fFBlmaXGVw9wPyBBaSnyExCqVQiymKcE4jYkiVZP1VHCaoDZdrNLiAoVgtEnQiTGoJKkSSNsBE0VlVZOrgMQKEUEIZhv4JqRZU0MmAdmU1Zc+VmWodm6bW6dNs9/ILCtAylFRXSZgyeJAljgsAn7kUEpQK9OEILRZalYDlxnwitUAUFiUVIRZYmKKnRgeTSz3453zE7VeTyy1nPvRLMrbffwcte+Pxcgsl5dJLLL6eWXH4569mxaw/v/9BHWDM5yS/8zEtyCSbn0Ucuv5xacvnlrCeKIv7+wx9j7z0H+LmXvug/l2By+SXnbCWXX04tufxy1nPLD27jHz/6CS44bwuveMmL/usSTC6/5JyJ5PLLaeU++WXPaVl/cXJjLr/8GCBP9wDOVOR1G5k4dz3f3B5xy7jHdS+8jolrr+TKq308AYFVGDQ1HL/xK9fxxrc+Hw+P78yFBGsnGXv2Vl71D7/I2LlFNm4bZ4ga1a7HhU95LBufsJndH/0s6eEjkHUJjmzHW5pn/kufwR65nbQM2hrkoX2oOMTvzSK1gsYopfYMYnoHevEgRadZ3n0LlW0Xk1y4Dd+FFMN55NHdRAmEYcgAIaWZPYwFMSvrmntCy0iQ8YzzJ2mUA4rKsNFbpCwN97RijFC89pq1DAQenShkYqDBeQM1aoUSTkNZCCpCo3pz1MuWZOVqNpQkTjpuWeoxIDR/d1uLkcoIPamI/ZVsHR7hgvEGU94kLVnicCtl92KIyxzzssbTDn6OX75As7YccXU5RLsQJzJGXvHLBBc9Dleq8PMfu5VdzYyfeO1fcc4z3shFz3sbb/vqbj71uRvJ3CDP3TLMsVbMYOsQh7qCIxc/AxUtYq0l2r4TES9g5o9w7PYdZFXNmqdvww0UsHvmUb2MUkFg0jKeNQQ2QbcXSMMOEYokbROvXU+y9jzW/d5v4jKLEA6/HJCmKWvXrkXNT+MHAl96dFuLzH3tRrTJqDVKlLwi8dElzFJEaWSA3tQ8rZ2HWUoiXNln9ROuJESiEXRmmmRhgl+vIIyleWAGl/bTW4Qn8UsB1vUTUdAK4WmEJxA+qILuyyqZwSb9VKJ7k17uRUkJrl+NJYTAGoFyiiSKQVjSVoTDIFKBQpDG/RonrXy01ggB0gmkLygUCkip+mKFUjQaDdI0Jc1iJILaUAPn91NmMl/RnFuku9Aj7kV9Qcc5hOvLOH4xwFiLULI/FteXfUyWoQOfjAxR6G+HMxblKSwSrMXZvjjjnOtX/liLlAJPq74vpAQISxJnVKolssSwvLjcT6zpRSgrCZs9tFa0jrXodSNsYpmfaZIlKXP75jBpRhol4CRJL6XYKKFSgd/wKQyWwZMElQKJ51BlH08LdN3H8xVSS6QTkDoEtl9HpNSJ+0D7HkhB3IvRyhF1utTHBkA5luYW8Coa6aA338MJR3e+RRSHpFGMywzdKMQJB0ohsQyPDvTvP9kXpQCkFLjEkaWGOI5BCIyzfZEvJyfnEUNrzStf9hL+5F1vZ8eu3Vz/+t/m5u/fcrqHlZOTk5NzBrNl00b++G1v5tonPJ7fffcf8d6//QBhmB8kzsnJyck5OQqFAr/y86/knW96A9+46bv/p707jbHrvO87/n3OOXebmTsLZ+EyJEVTuyiJWrwlduK0WVAUbuDAsiU7ku1aQFCkiJo6NmrXcW0nrdI4duCgKpIilgFrqWXJcQrZRby2drwwqhZqJyVLIkWKOznk7Pfes/XFHakuYcIxlxkO9f0ABw+Gz5lz/vO8mPtifvz/+cBHP8GTT29f6rIkScvYtVdfxWf/9D9x1RWX86E//AS333EXaZr+7G+UpJMUXv6P/ot86exg+OUkTew6yKf/4x285+1v4Zd61zK++RLWzhzk6I9zsjKiCAVltc0tf/w2tn1zC3/y8Tv5N++5gve/dR13fPV7rPnXn2TwtW+DgwVTT09RG2ySbFpF49qLaO88RlKpkT3wGMW+l9j7g4cpeio0N6yD0KQ3K6A1xVx5hLTVIWm3yfbtJstS0tYU0b7nCCGnOHaU/jUX09m+jV5qFJMHoVqFKGOgGrF5oEN11xbyA0/zRKuPI8kAlwwFDs112LL3KA/smaKoxmTNYQ5MtRlv9vChf34pa2od3nzhGOuaDabFAQ/1AAAQsElEQVRnMuohZbw3Y6jax3yasq8TyAY2UisL0rLg8hUxgxH0VuuEKOG3N9Z4S88x1vZX6J2eYS7M8NBknXue3s3FgwW/2n+ET/7CKn5r0whjfSXT9Sb3bsv58//9Ak9WBxirQHl0Jzz493TOu4x2EbNxqMlzExEbN28mievU2of5Pw/vZPuhPn7ts1/mcFqwfiBiX7KCDVPPMRoHWrNzhNl5OHyIduglLxIOP/w8O778LSICSaiw79gB1v/mrxDv2gMHd1EeOUg8MEpy8CWybIrmilVEoyMklV4qcR/pQz8g9FVoJHXa8x0yStLzx4lXriSpJaz55c0MXbWJoeveQ5xUWPvWd1K/9moCMUPjqzi2Yw9Js0G0sp9eEgZGBokHV1LtX0UWFWRpTq1aoS9LKENMiKEEhtcMd8cadToUSURcSwh5AUVG3s4hKynIieP4lWBFCN2OKCV0xyUBZdkdkVQGKCip99WIKgmzz+wlqlRpz3Qgj6GMyPOcai0hqkZEMVQbMQPDA4QKxGVMHuVUe6sUdLvgFGVGra9Kc7hJ1slpHZ2lEgJDG1dTbzYoOkX33vL//VqKK0n3Q6OaUOtrkOc59f46cVIlLNSczs5DuyS0cuq9DQKQtXLKsiTNc4oc2vPdYEpRdEcOzc7OkUWQlTmNRoMoJMQhYfLwFFEUkc5lzBydJc1LokaNOKrQPtKmf6RJaMeECkQllEVBkecAdPMl3aBQ++A8oYwYWb+S5lAvISspc2A2pae3SnzpCJVmD6uvuYDGcIPZ2RniJCGuJhRpQdSIKUNBmqYktQpRFJifbZFWS2qDDSYOTTCz6whj61bT3zdAtVolCTGhAIpAtVKjyAr6x4eJYogbNYo0o6enhwN7D1ApEqIopgzQM9pHkUFKClEgDhEr1gzT0994JSQl6fT6yRDM09ufMQQjSTplPxmC+cNbP2UIRpJ0Sl4Owdz6sQ/z91v+gQ989BM8te2ZpS5LkrSM/WQI5oMf/bghGElnTghLc+ms4Nijk/W1vy6nV66kecmbYWI/x3qGePymd3LnN3eRlRH/9IrzuOm236czsYett97HG27/I/7qn13Pu+7/HM//579k24PbeGD3FJ2izq+/fpDa9Ah9rWNc/JG38eRf3c+vffG/suOO/8bqN2ym2HAJs9/5KtWLN1PZtZe52SOMXngJxyZnaW6+lvbMMaozE5QrxiGCrDlM0p6nMjTKfHOcYv+zVPc8QmvwAkLaptY7QLlhM+HwfuLWUaJsBgZX8zj9/N3OOa4/f5hnJybpxP08/OJLXHveGM1KzOGpef7J+QNMZA2mp2dZ3VOhN5unr1byXNbLxp6M/fMwlVVYXcuZy6r0VQqqL2wh3fg6ts/mrK7FfO2xF7nhsh5qzXUcyDsMJzX+7qndzKcx774ooTK7n/m+Mb4zNcCKYpLfve0Rtv3g69SzFnNxSZwltJOS7Csf5MiOh6itPI/p4c1suO5W6pOH+NTtf8pbN40y9uIWoiLj2Pg1TLQC53OYdGA99Se/zd777qA2MEDj2tfRVw3s2vksoxdewd7/cT/n/6tbeP7WT8NgjWqUM/7265g5+CKVFRuI8nmi0WHKuZRqe4Z8vmCmXqNv1VpiIE1b5FHMvs98hlYrY/hNVzL02jeRTh2kcng/YeVGGFwFzSbZ0QPUevtoP/8ord37iFcNs/N/bWFsfJT+0fN44dtbqNQSht5yFfG6MQ7d9TWKHNIYhkaGOLbjIFE1pj3ToVZNyIqcvBoIrZyoXqWYzwgLI38qlQp5J6coM4ociqykzIpXxh0VRUEo6XYECYEydP84G9djiqwkVOE1b7qSHd/bSigC1aFekkbC0b1H6e2r0ZlMKaNAc6SXmaOzlEVBo9lD0qwSF4G86DBzuE1ISuJKN3iTpSlx0g21zB6cJmvlkBdkeUlEIIohJFF3tFFRQtEd2VRt1piZmaG/2WT6cHc8UJwk3Zr7EvKZtDtqKCSEqKTdSomT8EonlUZPD52s0w3/hG4ClLwkriZQZBBVaA42mJyYoTnaw9xEm4GxJpP7pkjTlOaKJjNHZilDd2xUUqmwYu0wh3cdYmB8iLmDMxAFilDSu7JBLerlwKH9rBkZoRUXxI0aPc0eJnfup3fjKiYe3kWadTvoNJoNOnSoVirMTc4ThQpJJZDnOYEYGiXMACGnNtrL2isuZPs3HqQsEpJaTG+zh8kDE9TqDdrtlKSREBUloZKQzXeoD9botDPS6RbVvh7KsqTT6dDX10erM08Sx3SmUkI9ImpAJSRc9ZVv+om9WBx79KqVZRl33XMvjzz2ODde/w7HIenc5tijxeXYo1etbc/8mM/d9d/ZsG6d45B0bnPs0eJy7NGrVqvV4vN338NzL+zk5hvfxaZLL3bskc5djj1aXI49etV6eOuj3PHFe7ny8st++jgkxx5pOXLs0ZJ6eexRa+8LS/L++pqNjj06C9j55STlv/Q+omQFu7/1Fbbc/Du0v/8/uf8b2wlJxB/d8hZu+tu/gAd/xA+/8Df8w67naR/exhN7C9pRjav/3b/k0ZdyyqJBJw60nu1QnZ9i9ljG337wc7zxrz9Ja3icjdddzx/81ufY9unPQqVJtHMX1cs2Mr3/GM9+47v0XnMNRTpDo69JOTJOZew8GBgjTlsUnTbMHCYqSuLxq2HD66iuWE88PUF+dBeVPY9T2bcNDj4O/auYaG6gP+nnvReME0URQ4PDjFRLbnn9OI/tK9l9YI43rm6SlXWGDz3Dmr6Svs5LzDaGCK0JOuksM/MZq4sjrK4XlPVehvpS6sU0Ext/kb6ZZ7msM8FoPkne28dMZYDygfv4/s5j3P7EIX5l00ZuWjtH/MLDzO97kXrW5nWrG2w/2KEylFMZHOKpb/05B//LbzJz/++x56sfJz62n7HVG2g/+ii3PfYk//YD13HXl/6M374oZ/32vyF+6jvs7r+Asf0PcN6ObxF2bqXnR1+gtWcHqzdtYOrYDPOzk7D2InoIMDHFxhveBj1jpNVZKjMtkpFRiv5RjmzdTmNggLBmA6EyROu5bZS9/eQ9dWojI4Q8J0tTkkqNerWH1/zGL0M1oW/lcLcbS6vF7iefgSKjdfBFyvYctd5+0jwjbqcMXHoZh7/7EH31BmO/8VZe+PYPKYqM6UbG6KVX0rNjP8MrVzF2+Ub6mk0mW3OsufQ11Jt1kv4qm274dUbWrSQJEQURUVRSVktCCJRlSWu2Rb1ZI65UukGXEAih26kkhG7nlxBHEAIhjoiiiCgKFHlOqEKlGpMemSKqJzTHh1i5YQ0UUE8qlBFUmlXiesTcsTmiKKJSrZKT0hxskmUpszMtqBUUnRyIqEdV0k5Je7pNOtMhqsbkaUZZdoMvRZlRApVKtduhpCwpA6TkxCGht7eXEEU0RrprWXaDMTExIerWX5ITxTH1RrXb8SbpdpGZn5+nUql0Rx7l3QALQN5KIakQlXD4wFFCDHPTre5IpFZKmnYIRcnM0WmqSYUQQvf5gzWi/ip5I3BszxEKCogD1XqFycPTzM5O0xxtMtuap9KoU6nENBoNkgtWEhEIvYHmcB9DKwep9lcJISaKY3r6GiSVkjKGodUroAYhDzT6GwyuHKanXmV+/zHS+YyynlLEJfNT890RSn0R1EpCUZKGnPZci6zI6bQzelf0EsVVCN1OO9Vqd1RWlAfyrCTuScjaKWUrkKV2fpEWQ5IkvO/Gd7/SCeaWD33YTjCSpFNy6cUX8pk//ridYCRJp0W9Xud3b34ft37sw3zvR1u6nWCe3rbUZUmSlrFrr76Kv/jUrXaCkXT6RdHSXDor2PlFkqSzgZ1ftCBNU+7+0n1sffwJbrz+Hbzu2muWuiTp9LHzy+Ky84sWbHvmx9x+9xfZsG4dN994g51gdO6w88visvOLFrRaLT7/pa/w/As7eP97bmTTZZcudUnS6WPnl8Vl5xcteHjro9x5z31cefll3HTDO6mU2VKXJP387PyypF7p/LL/xSV5f33VeXZ+OQsYfpEk6Wxg+EXHSdOUu+65l0efeNIQjM4dhl8Wl+EXHefp7c9y+91f5DXr1xuC0bnB8MviMvyin1TrodVqcfsX7uT5F3Zw83tvMgSjc4Phl8Vl+EXHeeiRrdx5z31svmJTNwRz/Dgkabkx/LJoXgm/HNi1JO+vr1xv+OUsYPhFkqSzgeEXncDLIZg0zfid9793qcuRTo3hl8Vl+EUn8HII5iO//3uMDK9Y6nKkk2f4ZXHNTfq5op/q5RDM8IoV3PCOty91OdKpMfyyuAy/6AQeemQrd9/7Zf7kEx+jXvfvyFrGDL/8f0IIdeAjwLuA9cAE8HXgP5Rl+dIpPrsbfjm4ROGXsdMXfjmT53SuM/wiSZIkSZIkSZIkSZLOiIVAx3eAXwT2Ad8HNgCvBw4Bv1CW5fOn8PyF8Mvu01Dtz68+tu60hF/O9Dmd66KlLkCSJEmSJEmSJEmSJJ2z/j3dQMcW4KKyLK8vy/INwB8Ao8DnT8tbQlia6/RZnHM6R9n5RZIkSZIkSZIkSZIknXYhhApwEBgErinLcutx+48BVwKvLcvy4ZN8R7fzy+E9p1zvyaiPjJ9y55fFOKdznZ1fJEmSJEmSJEmSJEnSmfBmuoGO548PdCz48sL6L079VWGJrtNiEc/p3JQsdQGSJEmSJEmSJEmSJOmctHlhfeQE+48cd9/JO70jiBbb4p3TOcrwiyRJkiRJkiRJkiRJOhPWL6wvnWD/pePuO3nLO/yyeOd0jjL8IkmSJEmSJEmSJEmSzoS+hXXuBPuzx913QiGEp06wVWt3OtRXrPp5azst2p0OQO1E9ZVluekf8ZjTdk6vVoZfJEmSJEmSJEmSJEnSmfByO5byZ+yfihIo251OehqedTIqnPrPsRjndE4z/CJJkiRJkiRJkiRJks6E6YW19wT7PQvrzM960D+yg8pyddrO6dUqWuoCJEmSJEmSJEmSJEnSOWnXwrr2BPtrj7vv1cpzOkWGXyRJkiRJkiRJkiRJ0pnw2MJ6zQn2X/73xxehlrOZ53SKDL9IkiRJkiRJkiRJkqQz4YfAJHB+COHqn7J/3cL6tcUr6azkOZ0iwy+SJEmSJEmSJEmSJOm0K8uyA9y28OVtIYTel/dCCB8ArgR+UJblg0tR39nCczp1oSzLpa5BkiRJkiRJkiRJkiSdg0IIdeC7wBuAfcD3gfMWvj4CvLEsy+eWrMCzhOd0agy/SJIkSZIkSZIkSZKkMyaE0AA+ArwbWAccBb4OfKwsy91LWdvZxHM6eYZfJEmSJEmSJEmSJEmStGxFS12AJEmSJEmSJEmSJEmSdLIMv0iSJEmSJEmSJEmSJGnZMvwiSZIkSZIkSZIkSZKkZcvwiyRJkiRJkiRJkiRJkpYtwy+SJEmSJEmSJEmSJElatgy/SJIkSZIkSZIkSZIkadky/CJJkiRJkiRJkiRJkqRly/CLJEmSJEmSJEmSJEmSli3DL5IkSZIkSZIkSZIkSVq2DL9IkiRJkiRJkiRJkiRp2TL8IkmSJEmSJEmSJEmSpGXL8IskSZIkSZIkSZIkSZKWLcMvkiRJkiRJkiRJkiRJWrYMv0iSJEmSJEmSJEmSJGnZMvwiSZIkSZIkSZIkSZKkZcvwiyRJkiRJkiRJkiRJkpYtwy+SJEmSJEmSJEmSJElatgy/SJIkSZIkSZIkSZIkadn6v/SKdad1gKmpAAAAAElFTkSuQmCC\n",
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\n",
       "text/plain": [
        "<Figure size 2250x300 with 7 Axes>"
       ]
@@ -1603,7 +1062,7 @@
     }
    ],
    "source": [
-    "path_to_GOES13 = '../source_images/EUREC4A_IR_workflow/'\n",
+    "path_to_GOES16 = '../source_images/EUREC4A_IR_workflow/'\n",
     "lons = np.linspace(-62,-40,2200)\n",
     "lats = np.linspace(20,5,1500)\n",
     "\n",
@@ -1613,22 +1072,30 @@
     "instrument = 'ABI'\n",
     "\n",
     "for d, (date, date_df) in enumerate(df_l1.groupby(df_l1['date'].dt.date)):\n",
-    "    if d < 35: continue\n",
     "    date_arr = np.zeros((len(np.unique(date_df.user_name)),\n",
-    "                         da_arr.shape[1],\n",
-    "                         da_arr.shape[2],\n",
-    "                         da_arr.shape[3]\n",
-    "                        ), dtype=bool)\n",
+    "                         ds_l2.mask.shape[1],\n",
+    "                         ds_l2.mask.shape[2],\n",
+    "                         4\n",
+    "                        ), dtype=float)\n",
     "    date_df_sel = date_df.loc[np.logical_and(~date_df.already_seen.astype(bool),\n",
     "                                             np.logical_and(date_df.workflow_name == workflow ,\n",
     "                                                            date_df.instrument == instrument))]\n",
     "    for u, (user_name, user_df) in enumerate(date_df_sel.groupby('user_name')):\n",
     "        class_ids = user_df.classification_id\n",
     "        class_ids = np.unique(class_ids)\n",
-    "        user_arr = da_arr.sel({'classification_id':class_ids}).sum(axis=0).compute()\n",
-    "        user_arr = np.where(user_arr>0, True, False)\n",
+    "        user_arr_ = ds_l2.mask.sel({'classification_id':class_ids})\n",
+    "        user_arr = np.bitwise_and(user_arr_.expand_dims({'pattern':4},3).fillna(0).astype(int).values, np.array([1,2,4,8])[np.newaxis,np.newaxis,np.newaxis,:]).astype('bool')\n",
+    "\n",
+    "        user_arr = np.mean(user_arr,axis=0)  # along classification_id\n",
+    "\n",
     "        date_arr[u, :,:,:] = user_arr\n",
+    "    nb_users = len(np.unique(date_df_sel.user_name))\n",
     "\n",
+    "    freq = np.nan_to_num((np.sum(date_arr[:,:,:,:], axis=0)/nb_users))\n",
+    "    user_w_classifications = freq*len(np.unique(date_df_sel.user_name))\n",
+    "    date_as_datetime = dt.datetime.combine(date, dt.datetime.min.time())\n",
+    "    date_arr[:,:,:] =  user_w_classifications\n",
+    "        \n",
     "    filenames = np.unique(date_df_sel.fn.values)\n",
     "    filename = find_filename(filenames, date.strftime('GOES16_C13_%Y%m%d_1600'))\n",
     "    \n",
@@ -1636,15 +1103,17 @@
     "        filename = date.strftime('GOES16_C13_%Y%m%d_1800.jpeg')\n",
     "    if filename is None: continue\n",
     "    fig, ax = plt.subplots(1,6,figsize=(15,2), dpi=150, gridspec_kw={'width_ratios':[1,1,1,1,1,0.1]})\n",
-    "#     plt.suptitle(date,y=1.1)\n",
+    "\n",
     "    norm = Normalize(vmin = 0, vmax = len(np.unique(date_df_sel.user_name)), clip = False)\n",
+    "\n",
     "    for p in range(1,5):\n",
     "        m = Basemap(ax=ax.flat[p], projection='merc',llcrnrlat=5,urcrnrlat=20,\\\n",
     "            llcrnrlon=-62,urcrnrlon=-40,lat_ts=20,resolution='c')\n",
     "        m.drawcoastlines(linewidth=0.25)\n",
-    "#         ax.flat[p].set_title(pattern_dic_inv[p-1])\n",
-    "        x, y = m(lon_grid, lat_grid)\n",
-    "        cs = m.contourf(x,y,np.sum(date_arr[:,:,:,p-1], axis=0), cmap='Reds', norm=norm)\n",
+    "\n",
+    "        cs = m.imshow(user_w_classifications[:,:,p-1].T,\n",
+    "                      origin='upper', cmap='Reds', norm=norm,\n",
+    "                      extent=[-62,-40,5,20])\n",
     "        # HALO circle\n",
     "        x,y=m(-57.717, 13.3)\n",
     "        x2,y2 = m(-57.717,13.3+1.011) \n",
@@ -1654,8 +1123,8 @@
     "\n",
     "    ax.flat[0].annotate(date, (-0.2,0.2), rotation=-90, xycoords='axes fraction', fontsize=15)\n",
     "\n",
-    "    # Show satellite image:\n",
-    "    img = plt.imread(path_to_GOES13+filename)\n",
+    "    # Show GOES16 ABI image:\n",
+    "    img = plt.imread(path_to_GOES16+filename)\n",
     "    ax.flat[0].imshow(img)\n",
     "    ax.flat[0].axis('off')\n",
     "    \n",
@@ -1666,7 +1135,7 @@
     "    cb.set_label('Users')\n",
     "    \n",
     "    cax2 = cax.twinx()\n",
-    "    user_ticks=np.linspace(0, len(np.unique(date_df_sel.user_name)),3)\n",
+    "    user_ticks=np.linspace(0, nb_users,4)\n",
     "    per_ticks=np.linspace(0,100,11).astype(int)\n",
     "    cb.set_ticks(user_ticks.astype(int))\n",
     "    cb.set_label(\"seen by\")\n",
@@ -1677,137 +1146,9 @@
     "    cax2.set_ylabel(\"agreement [%]\")\n",
     "    \n",
     "    plt.tight_layout()\n",
-    "    if savefig:\n",
-    "        plt.savefig('../figures/IR_dailyaverage/EUREC4A_ManualClassifications_IRDailyAverage_{}.jpeg'.format(date.strftime('%Y%m%d')),\n",
-    "                dpi=150, bbox_inches='tight',pad=0)\n",
-    "        plt.close('all')\n",
-    "    else:\n",
-    "        plt.show()\n",
-    "        break"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(33, 2200, 1500, 4)"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "np.shape(date_arr)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Daily peak frequency based on workflow EUREC4A (IR)\n",
-    "!Very experimental!\n",
-    "Visualizing the time of most frequent classifications for every single pixel"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 2250x300 with 6 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "path_to_GOES13 = '../source_images/EUREC4A_IR_workflow/'\n",
-    "lons = np.linspace(-62,-44,2200)\n",
-    "lats = np.linspace(20,5,1500)\n",
-    "\n",
-    "lat_grid, lon_grid = np.meshgrid(lats, lons)\n",
-    "\n",
-    "workflow = 'EUREC4A (IR)'\n",
-    "instrument = 'ABI'\n",
-    "\n",
-    "for d, (date, date_df) in enumerate(df_l1.groupby(df_l1['date'].dt.date)):\n",
-    "    date_df_sel = date_df.loc[np.logical_and(~date_df.already_seen.astype(bool),\n",
-    "                                             np.logical_and(date_df.workflow_name == workflow ,\n",
-    "                                                            date_df.instrument == instrument))]\n",
-    "    \n",
-    "    hour_arr = np.zeros((len(np.unique(date_df.date.dt.hour)),\n",
-    "                         da_arr.shape[1],\n",
-    "                         da_arr.shape[2],\n",
-    "                         da_arr.shape[3]\n",
-    "                        ), dtype=float)\n",
-    "    for h,(hours, hour_df) in enumerate(date_df_sel.groupby(date_df['date'].dt.hour)):\n",
-    "        for u, (user_name, user_df) in enumerate(hour_df.groupby('user_name')):\n",
-    "            class_ids = user_df.classification_id\n",
-    "            class_ids = np.unique(class_ids)\n",
-    "            user_arr = da_arr.sel({'classification_id':class_ids}).sum(axis=0).compute()\n",
-    "            user_arr = np.where(user_arr>0, True, False)\n",
-    "            hour_arr[h, :,:,:] += user_arr\n",
-    "        len_users = len(np.unique(hour_df.user_name))\n",
-    "        hour_arr[h, :,:,:] = hour_arr[h, :,:,:]/len_users\n",
-    "    hour_arr = np.where(hour_arr == 0 , np.nan, hour_arr)\n",
     "\n",
-    "    filenames = np.unique(date_df_sel.fn.values)\n",
-    "    filename = find_filename(filenames, date.strftime('GOES16_C13_%Y%m%d_1600'))\n",
-    "    if filename is None:\n",
-    "        filename = date.strftime('GOES16_C13_%Y%m%d_1700.jpeg')\n",
-    "    if filename is None: continue\n",
-    "    fig, ax = plt.subplots(1,6,figsize=(15,2), dpi=150, gridspec_kw={'width_ratios':[1,1,1,1,1,0.1]})\n",
-    "#     plt.suptitle(date,y=1.1)\n",
-    "    norm = Normalize(vmin = 0, vmax = 12, clip = False)\n",
-    "    for p in range(1,5):\n",
-    "        m = Basemap(ax=ax.flat[p], projection='merc',llcrnrlat=5,urcrnrlat=20,\\\n",
-    "            llcrnrlon=-62,urcrnrlon=-40,lat_ts=20,resolution='c')\n",
-    "        m.drawcoastlines(linewidth=0.25)\n",
-    "#         ax.flat[p].set_title(pattern_dic_inv[p-1])\n",
-    "        x, y = m(lon_grid, lat_grid)\n",
-    "        argmax = np.argmax(hour_arr[:,:,:,p-1]+1, axis=0)\n",
-    "        peak_hour = np.where(argmax-1 == -1 ,np.nan,argmax) \n",
-    "        cs = m.contourf(x,y,peak_hour, cmap='twilight_shifted', norm=norm)\n",
-    "        # HALO circle\n",
-    "        x,y=m(-57.717, 13.3)\n",
-    "        x2,y2 = m(-57.717,13.3+1.011) \n",
-    "        circle1 = plt.Circle((x, y), y2-y, color='black',fill=False)\n",
-    "        ax.flat[p].add_patch(circle1)\n",
-    "        ax.flat[p].axis('off')\n",
-    "    \n",
-    "    ax.flat[0].annotate(date, (-0.2,0.2), rotation=-90, xycoords='axes fraction', fontsize=15)\n",
-    "    \n",
-    "    # Show satellite image:\n",
-    "    img = plt.imread(path_to_GOES13+filename)\n",
-    "    ax.flat[0].imshow(img)\n",
-    "    ax.flat[0].axis('off')\n",
-    "    \n",
-    "    cax = ax.flat[5]\n",
-    "    sm = plt.cm.ScalarMappable(cmap='twilight_shifted', norm=norm)\n",
-    "    sm._A = []\n",
-    "    cb = plt.colorbar(sm, cax=cax)\n",
-    "    cb.set_label('hour (UTC)')\n",
-    "    \n",
-    "    user_ticks=np.arange(0, 12, 2)\n",
-    "    cb.set_ticks(user_ticks.astype(int))\n",
-    "    cb.set_ticklabels([0,2,4,6,8,10,12,14,16,18,20,22][::2])\n",
-    "    \n",
-    "    plt.tight_layout()\n",
     "    if savefig:\n",
-    "        plt.savefig('../figures/IR_peaktime/EUREC4A_ManualClassifications_IRPeak_{}.jpeg'.format(date.strftime('%Y%m%d')),\n",
+    "        plt.savefig('../figures/IR_dailyaverage/EUREC4A_ManualClassifications_IRDailyAverage_{}.jpeg'.format(date.strftime('%Y%m%d')),\n",
     "                dpi=150, bbox_inches='tight',pad=0)\n",
     "        plt.close('all')\n",
     "    else:\n",

From 08881d034ddf998102fc815c023108b292a9a902 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Wed, 24 Nov 2021 14:15:23 +0100
Subject: [PATCH 32/34] \ Overview figures: IR instant

---
 notebooks/create_overview_figures.ipynb | 111 +++++++++++++++++++++++-
 1 file changed, 110 insertions(+), 1 deletion(-)

diff --git a/notebooks/create_overview_figures.ipynb b/notebooks/create_overview_figures.ipynb
index 63d7767..5b0526b 100644
--- a/notebooks/create_overview_figures.ipynb
+++ b/notebooks/create_overview_figures.ipynb
@@ -810,7 +810,7 @@
     "    \n",
     "    plt.tight_layout()\n",
     "    if savefig:\n",
-    "        plt.savefig('../figures/VIS_dailyaverage/EUREC4A_ManualClassifications_MODISAverage_{}_{}.jpeg'.format(date.strftime('%Y%m%d'), mode),\n",
+    "        plt.savefig('../figures/VIS_dailyaverage/EUREC4A_ManualClassifications_MODISAverage_{}_{}.jpeg'.format(date.strftime('%Y%m%d'), 'instant'),\n",
     "                dpi=150, bbox_inches='tight',pad=0)\n",
     "        plt.close('all')\n",
     "    else:\n",
@@ -1155,6 +1155,115 @@
     "        plt.show()\n",
     "        break"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 2250x300 with 7 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "path_to_GOES16 = '../source_images/EUREC4A_IR_workflow/'\n",
+    "lons = np.linspace(-62,-40,2200)\n",
+    "lats = np.linspace(20,5,1500)\n",
+    "\n",
+    "lat_grid, lon_grid = np.meshgrid(lats, lons)\n",
+    "\n",
+    "workflow = 'EUREC4A (IR)'\n",
+    "instrument = 'ABI'\n",
+    "\n",
+    "for d, (date, date_df) in enumerate(df_l1.groupby(df_l1['date'].dt.date)):\n",
+    "    date_arr = np.zeros((\n",
+    "                         ds_l3.freq.shape[1],\n",
+    "                         ds_l3.freq.shape[2],\n",
+    "                         ds_l3.freq.shape[3]\n",
+    "                        ), dtype=float)\n",
+    "    date_df_sel = date_df.loc[np.logical_and(~date_df.already_seen.astype(bool),\n",
+    "                                             np.logical_and(date_df.workflow_name == workflow ,\n",
+    "                                                            date_df.instrument == instrument))]\n",
+    "    date_as_datetime = dt.datetime.combine(date, dt.datetime.min.time())\n",
+    "    date_arr[:,:,:] = ds_l3.freq.sel(date=date_as_datetime)\n",
+    "    nb_users = ds_l3.nb_users.sel(date=date_as_datetime).compute()\n",
+    "    user_w_classifications = date_arr*nb_users.values\n",
+    "        \n",
+    "    filenames = np.unique(date_df_sel.fn.values)\n",
+    "    filename = find_filename(filenames, date.strftime('GOES16_C13_%Y%m%d_1600'))\n",
+    "    \n",
+    "    if filename is None:\n",
+    "        filename = date.strftime('GOES16_C13_%Y%m%d_1800.jpeg')\n",
+    "    if filename is None: continue\n",
+    "    fig, ax = plt.subplots(1,6,figsize=(15,2), dpi=150, gridspec_kw={'width_ratios':[1,1,1,1,1,0.1]})\n",
+    "#     plt.suptitle(date,y=1.1)\n",
+    "#     norm = Normalize(vmin = 0, vmax = len(np.unique(date_df_sel.user_name)), clip = False)\n",
+    "    norm = Normalize(vmin = 0, vmax = nb_users, clip = False)\n",
+    "    for p in range(1,5):\n",
+    "        m = Basemap(ax=ax.flat[p], projection='merc',llcrnrlat=5,urcrnrlat=20,\\\n",
+    "            llcrnrlon=-62,urcrnrlon=-40,lat_ts=20,resolution='c')\n",
+    "        m.drawcoastlines(linewidth=0.25)\n",
+    "#         ax.flat[p].set_title(pattern_dic_inv[p-1])\n",
+    "#         x, y = m(lon_grid, lat_grid)\n",
+    "        cs = m.imshow(user_w_classifications[:,:,p-1].T,\n",
+    "                      origin='upper', cmap='Reds', norm=norm,\n",
+    "                      extent=[-62,-40,5,20])\n",
+    "        # HALO circle\n",
+    "        x,y=m(-57.717, 13.3)\n",
+    "        x2,y2 = m(-57.717,13.3+1.011) \n",
+    "        circle1 = plt.Circle((x, y), y2-y, color='black',fill=False)\n",
+    "        ax.flat[p].add_patch(circle1)\n",
+    "        ax.flat[p].axis('off')\n",
+    "\n",
+    "    ax.flat[0].annotate(date, (-0.2,0.2), rotation=-90, xycoords='axes fraction', fontsize=15)\n",
+    "\n",
+    "    # Show AQUA image:\n",
+    "    img = plt.imread(path_to_GOES16+filename)\n",
+    "    ax.flat[0].imshow(img)\n",
+    "    ax.flat[0].axis('off')\n",
+    "    \n",
+    "    cax = ax.flat[5]\n",
+    "    sm = plt.cm.ScalarMappable(cmap='Reds', norm=norm)\n",
+    "    sm._A = []\n",
+    "    cb = plt.colorbar(sm, cax=cax)\n",
+    "    cb.set_label('Users')\n",
+    "    \n",
+    "    cax2 = cax.twinx()\n",
+    "    user_ticks=np.linspace(0, nb_users,4)\n",
+    "    per_ticks=np.linspace(0,100,11).astype(int)\n",
+    "    cb.set_ticks(user_ticks.astype(int))\n",
+    "    cb.set_label(\"seen by\")\n",
+    "    cb.ax.yaxis.set_label_position(\"left\")\n",
+    "    cax2.set_ylim(0,100)\n",
+    "    cax2.set_yticks(per_ticks)\n",
+    "    cax2.set_yticklabels(per_ticks)\n",
+    "    cax2.set_ylabel(\"agreement [%]\")\n",
+    "    \n",
+    "    plt.tight_layout()\n",
+    "    if savefig:\n",
+    "        plt.savefig('../figures/IR_instant/EUREC4A_ManualClassifications_IR_{}_{}.jpeg'.format('instant', date.strftime('%Y%m%d')),\n",
+    "                dpi=150, bbox_inches='tight',pad=0)\n",
+    "        plt.close('all')\n",
+    "    else:\n",
+    "        plt.show()\n",
+    "        break"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {

From 54f6b41f5ee1f1555f0a957fc9065c7f831b1d74 Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Wed, 24 Nov 2021 15:25:16 +0100
Subject: [PATCH 33/34] - relative paths in zenodo zip

---
 scripts/create_zenodo_datazip.sh | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)
 mode change 100644 => 100755 scripts/create_zenodo_datazip.sh

diff --git a/scripts/create_zenodo_datazip.sh b/scripts/create_zenodo_datazip.sh
old mode 100644
new mode 100755
index 6bd735c..b231252
--- a/scripts/create_zenodo_datazip.sh
+++ b/scripts/create_zenodo_datazip.sh
@@ -4,7 +4,9 @@
 python anonymize_data.py
 
 ## Zip data
-cd ../processed_data/
+cd ../
 
-zip -r -D -j ../zenodo/EUREC4A_ManualCloudClassificationData.zip EUREC4A_ManualClassifications_l2.zarr EUREC4A_ManualClassifications_l3_VIS.zarr EUREC4A_ManualClassifications_l3_IR.zarr EUREC4A_ManualClassifications_l3_ICON.zarr EUREC4A_ManualClassifications_l1_anonymized.nc ../zooniverse_raw/sugar-flower-fish-or-gravel-subjects.csv ../zooniverse_raw/sugar-flower-fish-or-gravel-classifications_anonymized.csv
+mkdir zenodo
+
+zip -r -D zenodo/EUREC4A_ManualCloudClassificationData.zip processed_data/EUREC4A_ManualClassifications_l2.zarr processed_data/EUREC4A_ManualClassifications_l3_VIS_instant.zarr processed_data/EUREC4A_ManualClassifications_l3_VIS_daily.zarr processed_data/EUREC4A_ManualClassifications_l3_IR_instant.zarr processed_data/EUREC4A_ManualClassifications_l3_IR_daily.zarr processed_data/EUREC4A_ManualClassifications_l3_albedo_instant.zarr processed_data/EUREC4A_ManualClassifications_l3_albedo_daily.zarr processed_data/EUREC4A_ManualClassifications_l1_anonymized.nc zooniverse_raw/sugar-flower-fish-or-gravel-subjects.csv zooniverse_raw/sugar-flower-fish-or-gravel-classifications_anonymized.csv
 

From 9e5197962fbecfc69dfa64cac58cfd66eca28fdc Mon Sep 17 00:00:00 2001
From: Hauke Schulz <43613877+observingClouds@users.noreply.github.com>
Date: Wed, 24 Nov 2021 15:27:07 +0100
Subject: [PATCH 34/34] \ Config: mistral config

---
 scripts/config.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/config.yaml b/scripts/config.yaml
index 2a9b871..5cfec13 100644
--- a/scripts/config.yaml
+++ b/scripts/config.yaml
@@ -1,6 +1,6 @@
 classifications : ['BAMS', 'EUREC4A']
 env:
-  pyclouds: '/Users/haukeschulz/Documents/PhD/Work/Own/AI_CloudClassification/CloudClassificationDay/cloud-classification/'
+  pyclouds: '/work/mh0010/m300408/EUREC4A_CloudClassification/manual/EUREC4A_manualclassifications/scripts/'
 
 
 EUREC4A: